Hanzo Strategy - Volume & Smart Money📊 HANZO STRATEGY - Complete Description
## 🎯 Strategy Overview
The **Hanzo Strategy** is an advanced institutional trading system that combines Volume Profile analysis, Smart Money Concepts, and Price Action patterns to identify high-probability trade setups. This strategy is specifically designed for trading Gold (XAUUSD), NAS100, and US30 on the 15-minute timeframe.
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## 🧠 Core Trading Philosophy
The Hanzo Strategy operates on the principle that **institutional money leaves footprints** in the market through:
- Volume accumulation at key price levels
- Liquidity sweeps and stop hunts
- Order block formations
- Strategic wick rejections at support/resistance
By identifying these institutional behaviors and combining them with precise volume analysis, the strategy aims to trade **with** the smart money, not against it.
---
## 🔑 Key Components
### 1️⃣ **Fixed Range Volume Profile (FRVP)**
- **What it does:** Analyzes the last 2 days of price action and calculates where the most volume traded
- **Point of Control (POC):** The price level with the highest trading volume - acts as a magnet for price
- **How we use it:** Price tends to revert to POC. When price is far from POC and starts moving toward it, we prepare for entries
- **Visual:** Yellow cross line on the chart marking the POC
### 2️⃣ **Wick Cluster Detection**
- **What it does:** Automatically identifies price levels where multiple candle wicks have rejected (2-6+ wicks)
- **Why it matters:** Multiple rejections at the same level indicate strong institutional support/resistance
- **Upper wick clusters:** Resistance zones where price was rejected downward
- **Lower wick clusters:** Support zones where price was rejected upward
- **Visual:** Dashed lines (red for resistance, green for support)
### 3️⃣ **Session Volatility Boxes**
- **London Session (8:00-16:00 UTC+3):** Captures European market volatility range
- **New York Session (13:30-20:00 UTC+3):** Captures US market volatility range
- **How we use it:** These ranges often act as support/resistance for the rest of the day
- **Visual:** Blue box for London, Orange box for New York
### 4️⃣ **Smart Money Zones**
**Order Blocks:**
- Strong institutional areas where banks and hedge funds placed large orders
- **Bullish Order Block:** Area where smart money bought heavily before a strong upward move
- **Bearish Order Block:** Area where smart money sold heavily before a strong downward move
- **Visual:** Green/Red filled boxes with "Bull OB" or "Bear OB" labels
**Liquidity Sweeps:**
- Price breaks above recent high or below recent low, then quickly reverses
- This is a "stop hunt" - institutions triggering retail stops before moving in the real direction
- **Bullish Sweep:** Price dips below support, grabs stops, then reverses up
- **Bearish Sweep:** Price pops above resistance, grabs stops, then reverses down
- **Visual:** Triangle markers (green up = bullish, red down = bearish)
### 5️⃣ **Engulfing Pattern Recognition**
- **Bullish Engulfing:** Large green candle fully engulfs the previous red candle - shows strong buying pressure
- **Bearish Engulfing:** Large red candle fully engulfs the previous green candle - shows strong selling pressure
- **How we use it:** Confirmation signal when combined with other factors
- **Visual:** Small circles below/above candles
### 6️⃣ **Trend Bias Indicator**
- Dynamically calculates market bias based on price position relative to POC
- **Bullish:** Price > 0.2% above POC
- **Neutral:** Price within 0.2% of POC
- **Bearish:** Price > 0.2% below POC
- **Visual:** Label at top of chart showing current bias
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## 📈 Entry Signal Logic
The strategy generates **LONG** and **SHORT** signals based on confluence of multiple factors:
### 🟢 LONG ENTRY CONDITIONS:
1. **POC Break:** Price crosses above POC from below + Trend Bias is Bullish
**OR**
2. **Support Bounce:** Price touches a lower wick cluster + Bullish Engulfing pattern forms
3. **Additional Filter:** Trend Bias must NOT be Bearish
### 🔴 SHORT ENTRY CONDITIONS:
1. **POC Break:** Price crosses below POC from above + Trend Bias is Bearish
**OR**
2. **Resistance Rejection:** Price touches an upper wick cluster + Bearish Engulfing pattern forms
3. **Additional Filter:** Trend Bias must NOT be Bullish
---
## 🎯 Risk Management
### Stop Loss:
- **Calculation:** 2 × ATR(14) from entry price
- **Logic:** Uses Average True Range to adapt to current market volatility
- **Example:** If ATR = 10 points, stop loss is 20 points away
### Take Profit:
- **Calculation:** 3 × ATR(14) from entry price
- **Risk:Reward Ratio:** 1:1.5 (risking 2 ATR to make 3 ATR)
- **Example:** If ATR = 10 points, take profit is 30 points away
### Position Sizing:
- **Default:** 2% of account equity per trade
- **Adjustable:** Can be modified in strategy settings
---
## ⚙️ Strategy Settings & Customization
### Volume Profile Settings:
- **Lookback Days:** How many days to analyze (default: 2)
- **Profile Rows:** Resolution of volume calculation (default: 24)
- **POC Distance Threshold:** Minimum distance from POC for "far from POC" status (default: 0.3%)
### Wick Cluster Settings:
- **Min Wicks for Cluster:** How many wicks needed to form a cluster (default: 3)
- **Lookback Bars:** How far back to search for wicks (default: 50)
- **Tolerance %:** How close wicks must be to cluster together (default: 0.15%)
### Session Settings:
- **London Session:** 08:00-16:00 (adjustable)
- **New York Session:** 13:30-20:00 (adjustable)
- **UTC Offset:** Timezone adjustment (default: +3)
### Smart Money Settings:
- **Order Block Lookback:** How far back to search for order blocks (default: 20)
- **Toggle On/Off:** Can enable/disable order blocks and liquidity sweeps independently
---
## 📊 Performance Metrics Display
The strategy includes a real-time **Information Table** (top-right corner) showing:
| Metric | Description |
|--------|-------------|
| **Trend Bias** | Current market direction (Bullish/Neutral/Bearish) |
| **POC Price** | Current Point of Control price level |
| **Distance from POC** | How far current price is from POC (%) |
| **ATR (14)** | Current volatility measurement |
| **High Wick Clusters** | Number of resistance clusters detected |
| **Low Wick Clusters** | Number of support clusters detected |
| **Current Signal** | Active signal (LONG/SHORT/None) |
---
## 🚨 Alert System
The strategy can send alerts for:
1. **LONG Signal Triggered** - When all conditions met for long entry
2. **SHORT Signal Triggered** - When all conditions met for short entry
3. **Price Touching Support Cluster** - Warning that price at key support
4. **Price Touching Resistance Cluster** - Warning that price at key resistance
**Alert Frequency:** Once per bar (prevents spam)
---
## 📅 Best Trading Timeframes & Instruments
### ✅ Recommended Timeframes:
- **Primary Entry:** 15-minute chart
- **Trend Confirmation:** 30-minute or 1-hour chart
- **Higher Timeframe Filter:** 4-hour for major trend direction
### ✅ Recommended Instruments:
1. **Gold (XAUUSD)** - High volatility, respects key levels well
2. **NAS100 (US Tech 100)** - Strong trends, good liquidity
3. **US30 (Dow Jones)** - Reliable institutional participation
4. **EUR/USD, GBP/USD** - Can work on major forex pairs with adjustments
### ⏰ Best Trading Sessions:
- **London Open (08:00-12:00 UTC+3)** - High volatility, clear directional moves
- **New York Open (13:30-17:00 UTC+3)** - Strongest moves, highest volume
- **Overlap (13:30-16:00 UTC+3)** - Best liquidity and movement
### ⚠️ Avoid Trading:
- Asian session (low volatility)
- Major news events (first 15 minutes after high-impact news)
- Sundays and holidays (low liquidity)
---
## 💡 Pro Trading Tips
### 1. **Multiple Timeframe Confirmation**
- Check 1-hour chart for overall trend before taking 15-minute signals
- Only take LONG signals if 1-hour is bullish
- Only take SHORT signals if 1-hour is bearish
### 2. **POC Strategy**
- Best entries occur when price returns to POC after being far away
- Wait for POC touch + confirmation pattern (engulfing, order block)
- POC acts as support in uptrends, resistance in downtrends
### 3. **Wick Cluster Strategy**
- Strongest signals occur when wick clusters align with POC
- Look for 4+ wicks at the same level for highest probability
- Recent clusters (formed in last 2 days) are stronger than old ones
### 4. **Order Block Strategy**
- Fresh order blocks (just formed) are more powerful
- Wait for price to return to order block zone before entering
- Best when order block + wick cluster occur at same level
### 5. **London/NY Box Strategy**
- If price breaks above session high → look for LONG pullback entries
- If price breaks below session low → look for SHORT pullback entries
- Price often returns to session mid-point before continuing
### 6. **Risk Management Rules**
- **Never risk more than 2% per trade**
- **Don't trade more than 3 positions simultaneously**
- **If 2 losses in a row, reduce size to 1% or stop for the day**
- **Move stop to breakeven after 1:1 profit reached**
### 7. **High-Probability Setups**
Look for **CONFLUENCE** - the more factors aligned, the better:
✅ **BEST LONG SETUP:**
- Price at lower wick cluster (support)
- Price at/near POC
- Bullish order block present
- Bullish engulfing pattern forms
- Trend Bias = Bullish
- 1-hour chart = uptrend
✅ **BEST SHORT SETUP:**
- Price at upper wick cluster (resistance)
- Price at/near POC
- Bearish order block present
- Bearish engulfing pattern forms
- Trend Bias = Bearish
- 1-hour chart = downtrend
---
## 📈 Performance Expectations
### Typical Win Rate:
- **Conservative Trading (high confluence only):** 55-65% win rate
- **Moderate Trading (good setups):** 45-55% win rate
- **Aggressive Trading (all signals):** 35-45% win rate
### Typical Risk:Reward:
- **Average R:R:** 1:1.5 (with 2 ATR stop and 3 ATR target)
- **Breakeven adjusted:** Often improves to 1:2+ when stop moved to BE
### Monthly Trade Frequency (15M chart):
- **Gold:** 60-100 signals per month
- **NAS100:** 50-80 signals per month
- **US30:** 40-70 signals per month
---
## 🎓 Strategy Philosophy Summary
The Hanzo Strategy is built on three core principles:
1. **Follow the Volume** - Trade where institutions are active
2. **Respect the Levels** - Key support/resistance zones matter
3. **Confirm with Price Action** - Wait for confirmation before entering
This is NOT a holy grail - it requires:
- ✅ Discipline to wait for proper setups
- ✅ Patience to let trades play out
- ✅ Risk management to protect capital
- ✅ Emotional control to handle losses
---
## 🛠️ How to Use This Strategy
### Step 1: Initial Setup
1. Add strategy to 15-minute chart
2. Check that all components are visible (POC, clusters, boxes, etc.)
3. Adjust colors if needed for your chart theme
### Step 2: Daily Routine
1. **Pre-Market (before 8:00 AM):**
- Check POC location
- Note wick clusters from previous days
- Mark London/NY session boxes from yesterday
2. **London Session (8:00-16:00):**
- Watch for POC interactions
- Monitor for order blocks forming
- Wait for confluence setups
3. **NY Session (13:30-20:00):**
- Highest activity period
- Best signal quality
- More aggressive entries allowed
### Step 3: Trade Execution
1. Wait for signal label (LONG or SHORT) to appear
2. Check confluence factors (minimum 3)
3. Enter immediately or on next candle
4. Set stop loss at 2 × ATR from entry
5. Set take profit at 3 × ATR from entry
6. Move stop to breakeven at +1.5 ATR profit
### Step 4: Trade Management
- **Don't move stop closer** (let trade breathe)
- **Can trail stop** after 2:1 profit reached
- **Can take partial profits** at 1.5:1 and let rest run
- **Journal every trade** for future improvement
---
## ⚠️ Important Disclaimers
1. **Past performance does not guarantee future results**
2. **This strategy involves risk** - only trade with money you can afford to lose
3. **Backtest thoroughly** on your specific instruments before live trading
4. **Start small** - test with minimum position sizes first
5. **Market conditions change** - what works today may not work tomorrow
6. **Use proper risk management** - this is the #1 key to long-term success
---
## 🎯 Quick Reference Checklist
Before taking any trade, ask yourself:
- ✅ Is there a clear LONG or SHORT signal?
- ✅ Are we in London or NY session?
- ✅ Is price at/near POC or wick cluster?
- ✅ Is trend bias aligned with my direction?
- ✅ Is there an order block or engulfing pattern?
- ✅ Is my risk:reward at least 1:1.5?
- ✅ Am I risking no more than 2% of my account?
**If 5+ are YES → Take the trade!**
**If 3 or fewer YES → Skip and wait for better setup!**
---
## 🚀 Final Words
The Hanzo Strategy is a professional-grade trading system that combines institutional analysis with precise technical execution. Success comes not from taking every signal, but from taking only the **highest probability setups** with proper risk management.
**Trade smart. Trade safe. Trade like an institution.**
📊 **Good luck and profitable trading!** 📊
Cari skrip untuk "point of control"
Pristine Adaptive Alpha ScreenerThe Pristine Adaptive Alpha Screener allows users to screen for all of the trading signals embedded in our premium suite of TradingView tools🏆
▪ Pristine Value Areas & MGI - enables users to perform comprehensive technical analysis through the lens of the market profile in a fraction of the time!
▪ Pristine Fundamental Analysis - enables users to perform comprehensive fundamental stock analysis in a fraction of the time!
▪ Pristine Volume Analysis - organizes volume, liquidity, and share structure data, allowing users to quickly gauge the relative volume a security is trading on, and whether it is liquid enough to trade
💠 How is this Screener Original?
▪ The screener allows users to screen for breakouts, breakdowns, bullish and bearish trend reversals, and allows users to narrow a universe of stocks based purely on fundamentals, or purely on technicals. One screening tool to support an entire technofundamental workflow!
💠 Signals Overview
Each of the below signals serves one of two purposes:
1) A pivot point to be used as a long or short entry
2) A tool for narrowing a universe of stocks to a shorter list of stocks that have a higher potential for superperformance
▪ HVY(highest volume in a year) -> Featured in Pristine Volume Analysis -> Entry signal
▪ Trend Template -> Inspired by Mark Minervini's famous trend filters -> Tool for narrowing a universe of stocks to a shorter list with a higher potential for superperformance
▪ Rule of 100 -> Metrics from Pristine Fundamental Analysis -> Tool for narrowing a universe of stocks to a shorter list with a higher potential for superperformance
▪ Bullish 80% Rule -> Featured in Pristine Value Areas & MGI -> Long entry signal -> Trend Reversal
▪ Bearish 80% Rule -> Featured in Pristine Value Areas & MGI -> Short entry signal -> Trend Reversal
▪ Break Above VAH -> Featured in Pristine Value Areas & MGI -> Long entry signal -> Trend Continuation
▪ Break Below VAL -> Featured in Pristine Value Areas & MGI -> Short entry signal -> Trend Continuation
💠 Signals Decoded
▪ HVY(highest volume in a year)
Volume is an important metric to track when trading, because abnormally high volume tends to occur when a new trend is kicking off, or when an established trend is hitting a climax. Screen for HVY to quickly curate every stock that meets this condition.
▪ Trend Template
Mark Minervini's gift to the trading world. Via his book "Think and Trade Like a Stock Market Wizard". Stocks tend to make their biggest moves when they are already in uptrends, and the Minervini Trend template provides criteria to assess whether a stock is in a clearly defined uptrend. Filter for trend template stocks using our tool.
▪ Rule of 100
Pristine Capital's gift to the trading world. The rule of 100 filters for stocks that meet the following condition: YoY EPS Growth + YoY Sales Growth >= 100%. Stocks that meet this criteria tend to attract institutional investors, making them strong candidates for swing trading to the long side.
💠 Market Profile Introduction
A Market Profile is a charting technique devised by J. Peter Steidlmayer, a trader at the Chicago Board of Trade (CBOT), in the 1980's. He created it to gain a deeper understanding of market behavior and to analyze the auction process in financial markets. A market profile is used to analyze an auction using price, volume, and time to create a distribution-based view of trading activity. It organizes market data into a bell-curve-like structure, which reveals areas of value, balance, and imbalance.
💠 How is a Value Area Calculated?
A value area is a distribution of 68%-70% of the trading volume over a specific time interval, which represents one standard deviation above and below the point of control, which is the most highly traded level over that period.
The key reference points are as follows:
Value area low (VAL) - The lower boundary of a value area
Value area high (VAH) - The upper boundary of a value area
Point of Control (POC) - The price level at which the highest amount of a trading period's volume occurred
If we take the probability distribution of trading activity and flip it 90 degrees, the result is our Pristine Value Area!
Market Profile is our preferred method of technical analysis at Pristine Capital because it provides an objective and repeatable assessment of whether an asset is being accumulated or distributed by institutional investors. Market Profile levels work remarkably well for identifying areas of interest, because so many institutional trading algorithms have been programmed to use these levels since the 1980's!
The benefits of using Market Profile include better trade location, improved risk management, and enhanced market context. It helps traders differentiate between trending and consolidating markets, identify high-probability trade setups, and adjust their strategies based on whether the market is in balance (consolidation) or imbalance (trending). Unlike traditional indicators that rely on past price movements, Market Profile provides real-time insights into trader behavior, giving an edge to those who can interpret its nuances effectively.
▪ Bullish 80% Rule
If a security opens a period below the value area low , and subsequently closes above it, the bullish 80% rule triggers, turning the value area green. One can trade for a move to the top of the value area, using a close below the value area low as a potential stop!
In the below example, HOOD triggered the bullish 80% rule after it reclaimed the monthly value area!
HOOD proceeded to rally through the monthly value area and beyond in subsequent trading sessions. Finding the first stocks to trigger the bullish 80% rule after a market correction is key for spotting the next market leaders!
▪ Bearish 80% Rule
If a security opens a period above the value area high , and subsequently closes below it, the bearish 80% rule triggers, turning the value area red. One can trade for a move to the bottom of the value area, using a close above the value area high as a potential stop!
ES proceeded to follow through and test the value area low before trending below the weekly value area
▪ Break Above VAH
When a security is inside value, the auction is in balance. When it breaks above a value area, it could be entering a period of upward price discovery. One can trade these breakouts with tight risk control by setting a stop inside the value area! These breakouts can be traded on all chart timeframes depending on the style of the individual trader. Combining multiple timeframes can result in even more effective trading setups.
RBLX broke out from the monthly value area on 4/22/25👇
RBLX proceeded to rally +62.78% in 39 trading sessions following the monthly VAH breakout!
▪ Break Below VAL
When a security is inside value, the auction is in balance. When it breaks below a value area, it could be entering a period of downward price discovery. One can trade these breakdowns with tight risk control by setting a stop inside the value area! These breakouts can be traded on all chart timeframes depending on the style of the individual trader. Combining multiple timeframes can result in even more effective trading setups.
CHWY broke below the monthly value area on 7/20/23👇
CHWY proceeded to decline -53.11% in the following 64 trading sessions following the monthly VAL breakdown!
💠 Metric Columns
▪ %𝚫 - 1-day percent change in price
▪ YTD %𝚫 - Year-to-date percent change in price
▪ MTD %𝚫 - Month-to-date percent change in price
▪ MAx Moving average extension - ATR % multiple from the 50D SMA -Inspired by Jeff Sun
▪ 52WR - Measures where a security is trading in relation to it’s 52wk high and 52wk low. Readings near 100% indicate close proximity to a 52wk high and readings near 0% indicate close proximity to a 52wk low
▪ Avg $Vol - Average volume (50 candles) * Price
▪ Vol RR - Candle volume/ Avg candle volume
💠 Best Practices
Monday -> Friday Post-market Analysis
1) Begin with a universe of stocks. I use the following linked universe screen as a starting point: www.tradingview.com
2) Screen for the HVY signal -> Add those stocks to a separate flagged (colored) watchlist
3) Screen for the Bullish 80% Rule signal -> Add those stocks to a separate flagged (colored) watchlist
4) Screen for the Break Above VAH Signal -> Add those stocks to a separate flagged (colored) watchlist
5) Screen for the Break Below VAL Signal -> Add those stocks to a separate flagged (colored) watchlist
6) Screen for the Bearish 80% Rule Signal -> Add those stocks to a separate flagged (colored) watchlist
7) Screen for the Bearish 80% Rule Signal -> Add those stocks to a separate flagged (colored) watchlist
8) Screen for the Trend Template Signal -> Add those stocks to a separate flagged (colored) watchlist
9) Toggle through each list and analyze each stock chart using the Supercharts tool in TradingView
10)Record the number of stocks in each list as a way of analyzing market conditions
Weekend Analysis
1) Begin with a universe of stocks. I use the following linked universe screen as a starting point: www.tradingview.com
2) Screen for the Rule of 100 Signal. Use this as a starting point for deeper fundamental and/or thematic and/or technical research
3) Screen for stocks that meet specific performance thresholds, such as YTD %𝚫 > 100% etc
💠 Get Creative
▪Users have the ability to layer signals on top of each other when screening. To do so, filter for a signal, and then filter your new list by another signal! Play around with the screener, and find what works best for you!
Aggressive VS Passive Orders Depletion @MaxMaserati 3.0Aggressive VS Passive Orders Depletion Indicator
Overview
This institutional-grade order flow analysis tool identifies and tracks limit order accumulation zones where significant buy and sell orders are placed in the market. It combines Highest Volume Candle Profile analysis with Market Structure detection to reveal where institutional traders have positioned their orders, and monitors in real-time whether these orders are being absorbed (depleted) or defended.
Core Concept: Order Block Detection & Depletion
This tool tracks the actual limit orders at key price levels and shows you:
Where institutional orders are placed (Buy Order Blocks vs Sell Order Blocks)
How strong these order zones are (original volume strength as %)
Real-time order flow activity (aggressive buyers vs aggressive sellers)
Depletion status (are the orders being consumed or defended?)
How It Works: Dual-Engine System
Engine 1: Volume Profile Analysis - Point of Control (POC) Detection
Divides price range into 25 horizontal levels (configurable)
Analyzes the last 120 bars (configurable lookback)
Distributes volume across price levels based on where each bar traded
Identifies the Point of Control (POC) - the price level with highest traded volume
Determines market bias: Bullish if price above POC, Bearish if below
Purpose: Shows where the majority of volume has been traded, indicating institutional accumulation zones and fair value areas.
Engine 2: Market Structure Analysis (PHL - Pivot High/Low)
Uses fractal pivot detection (configurable strength)
Identifies swing highs and lows that create market structure
Tracks Break of Structure (BOS) - price breaks recent swing in trend direction
Tracks Market Structure Shift (MSS) - price breaks swing points against trend
Maintains a trailing price at the most recent significant swing point
Purpose: Identifies where smart money is likely defending key structural levels with limit orders.
Key Innovation #1: Dynamic Confluence Zone Detection
When the Volume Profile POC and Market Structure trail price align within a configurable sensitivity threshold (default 1.0%), the indicator creates an Order Block Zone.
The Algorithm:
Monitors both engines continuously
Creates zones ONLY when POC is within X% of the structural swing point
Both engines must agree on the significance of the price level
Optional volume confirmation filter
This dual-confirmation approach filters out weak levels and highlights only the highest-probability zones where institutional orders are likely clustered.
Zone Types:
🟢 Buy Order Blocks (Support) - Created when confluence occurs with price above the zone. Represents accumulated buy limit orders waiting to support price.
🔴 Sell Order Blocks (Resistance) - Created when confluence occurs with price below the zone. Represents accumulated sell limit orders waiting to resist price.
Key Innovation #2: Real-Time Aggressive VS Passive Order Flow Analysis
The indicator performs sophisticated order flow decomposition on each candle that interacts with a zone, separating market activity into distinct categories:
Order Flow Categories:
1. Aggressive Orders - Market orders that consume liquidity
Aggressive Buy Volume: Market buys hitting sell limits (taking offers)
Aggressive Sell Volume: Market sells hitting buy limits (hitting bids)
Marked with (AGG) label when detected
Indicates urgent traders willing to pay the spread
2. Passive Orders - Limit orders adding liquidity
Passive Buy Volume: New buy limits being placed (making bids)
Passive Sell Volume: New sell limits being placed (making offers)
Shows patient traders providing liquidity
3. New Order Flow - Fresh buying/selling pressure
New Buyers: Total new buying activity (aggressive + passive)
New Sellers: Total new selling activity (aggressive + passive)
Net pressure indicator for zone health
Key Innovation #3: Advanced Order Flow Decomposition Algorithm
The indicator uses a proprietary candle analysis formula to separate aggressive from passive orders based on two key metrics:
Key Metrics:
Body Strength = |Close - Open| / (High - Low)
Close Position = (Close - Low) / (High - Low)
Bullish Candle Analysis:
Strong Aggressive Buying (Close Position ≥ 0.8 AND Body Strength ≥ 0.7):
90% aggressive buying, 10% passive selling, 90% new buyers
Moderate Aggressive Buying (Close Position ≥ 0.6 AND Body Strength ≥ 0.5):
70% aggressive buying, 20% passive selling, 80% new buyers, 20% new sellers
Weak Bullish (Close Position ≥ 0.5):
0-30% aggressive buying, 20-30% passive selling, 60% new buyers, 40% new sellers
Very Weak Bullish (Close Position < 0.5):
0% aggressive buying, 40% passive selling, 40% new buyers, 60% new sellers
Bearish Candle Analysis:
Strong Aggressive Selling (Close Position ≤ 0.2 AND Body Strength ≥ 0.7):
90% aggressive selling, 10% passive buying, 90% new sellers
Moderate Aggressive Selling (Close Position ≤ 0.4 AND Body Strength ≥ 0.5):
70% aggressive selling, 20% passive buying, 80% new sellers, 20% new buyers
Weak Bearish (Close Position ≤ 0.5):
0-30% aggressive selling, 20-30% passive buying, 60% new sellers, 40% new buyers
Very Weak Bearish (Close Position > 0.5):
0% aggressive selling, 40% passive buying, 40% new sellers, 60% new buyers
What This Reveals:
High close position + strong body = Aggressive buying overwhelming sellers
Low close position + strong body = Aggressive selling overwhelming buyers
Mid-range close = Battle between buyers and sellers
Small body = Passive orders dominating (limit orders being placed, not filled)
Key Innovation #4: Dynamic Depletion System with Intelligent Thresholds
The indicator adapts depletion thresholds based on zone strength:
High Liquidity Zones (>300% volume strength):
Depletion at 40% consumption - Massive clusters considered broken early because partial depletion indicates institutional withdrawal
Medium Liquidity Zones (150-300% volume strength):
Depletion at 60% consumption - Standard institutional behavior, majority must be consumed
Normal Liquidity Zones (75-150% volume strength):
Depletion at 80% consumption - Retail and smaller institutional zones need near-complete absorption
Low Liquidity Zones (<75% volume strength):
Depletion at 100% consumption - Weak zones must be fully absorbed before marked depleted
Why This Matters:
Strong zones failing early = powerful reversal signal (institutions gave up)
Weak zones holding = hidden strength (more orders being added)
Adaptive logic prevents false signals from fixed thresholds
Depletion Formula:
For Buy Order Zones:
Zone Liquidity % = (Original Buy Volume / Average Volume) × 100
Consumed % = (Sell Volume Absorbed / Average Volume) × 100
If Consumed Volume > Dynamic Threshold → Zone DEPLETED
For Sell Order Zones:
Zone Liquidity % = (Original Sell Volume / Average Volume) × 100
Consumed % = (Buy Volume Absorbed / Average Volume) × 100
If Consumed Volume > Dynamic Threshold → Zone DEPLETED
Key Innovation #5: Absorption Detection & Battle Analysis
The indicator identifies when one side is overwhelming the other using a configurable Absorption Threshold (default 1.5x = 50% more volume).
Battle States for Buy Order Blocks:
New Buyers Dominating (New Buyers > New Sellers × 1.5):
Label: ↑ New Buyers: +X% - Buy orders successfully defended
Sellers Attacking (New Sellers > New Buyers × 1.5):
Label: ↓ Sellers Attack: +X% (AGG) - Sell orders overwhelming the zone
Active Battle (Both active, <1.5x ratio):
Label: Battle: B+X% vs S+Y% - Active two-way order flow
Quiet Zone (Minimal activity):
Label: ↔ Quiet: X% - Zone untested or ignored
Battle States for Sell Order Blocks:
New Sellers Dominating (New Sellers > New Buyers × 1.5):
Label: ↓ New Sellers: +X% - Sell orders successfully defended
Buyers Absorbing (New Buyers > New Sellers × 1.5):
Label: ↑ Buyers Absorb: +X% (AGG) - Buy orders overwhelming the zone
Active Battle (Both active, <1.5x ratio):
Label: Battle: S+X% vs B+Y% - Active two-way order flow
Quiet Zone (Minimal activity):
Label: ↔ Quiet: X% - Zone untested or ignored
The (AGG) Marker:
Appears when aggressive market orders are detected (high body strength + extreme close position). Indicates institutional-sized urgency—someone is willing to pay market price NOW. Often precedes breakouts or strong continuations.
Label System Explained
No Label = Untested Zone
When a zone is first created, you see ONLY the colored box with NO label. This means:
Price has NOT yet reached this order block
The limit orders are still pending/resting
The zone is a future area of interest
Labels only appear after first price contact
Label Format (After First Touch):
Line 1: ● XX% Order Type
Line 2: Flow Analysis
Example Labels:
Buy Order Blocks:
● 150% Buy Orders + ↑ New Buyers: +85%
● 150% Buy Orders + ↑ New Buyers: +120% (AGG)
● 150% Buy Orders + Battle: B+45% vs S+38%
● 150% Buy Orders + ↓ Sellers Attack: +95% (AGG)
● 150% Buy Orders + ↓ Sellers Attack: +95% (AGG)
● 150% Buy Orders
Sell Order Blocks:
● 200% Sell Orders + ↓ New Sellers: +110%
● 200% Sell Orders + ↓ New Sellers: +140% (AGG)
● 200% Sell Orders + Battle: S+62% vs B+41%
● 200% Sell Orders + ↑ Buyers Absorb: +88% (AGG)
● 200% Sell Orders + ↑ Buyers Absorb: +88% (AGG)
● 200% Sell Orders
Status Indicators:
- Price penetrated through the zone
- Orders fully consumed, zone exhausted
Gray color - Zone no longer active
Directional Arrows:
↑ - Upward pressure (buyers stronger)
↓ - Downward pressure (sellers stronger)
↔ - Balanced/quiet (low activity)
↗ / ↘ - Mixed battle with bias
Point of Control (POC) Sub-Level Analysis
Each order block contains advanced volume distribution tracking:
Multi-Level Analysis (default 5 levels): Zones subdivided into horizontal price levels
Volume Distribution: Every candle's volume distributed across sub-levels based on price overlap
Buy/Sell Separation: Each level tracks buy vs sell volume independently
Dynamic POC Line: Marks the price level with highest traded volume within the zone
Real-Time Updates: POC adjusts as new volume enters, showing where "fairest price" is migrating
Style Options: Solid, Dashed, or Dotted lines (configurable width 1-5)
POC Trading Significance:
Represents the most accepted price within the order block
Often the best entry price for limit orders (highest liquidity)
POC migration shows whether zone is being "worked higher" or "worked lower"
Breaking through POC often signals zone failure
Key Settings
Volume Profile:
Lookback Period: 120 bars (historical period for POC)
Price Rows: 25 levels (granularity of volume distribution)
Volume Confirmation: Require structure breaks to align with volume bias
Market Structure:
Pivot Strength: 1 (swing detection sensitivity)
Show Trail: Optional trailing price visualization
Confluence Detection:
Sensitivity: 1.0% (distance threshold for POC/Structure alignment)
Lower = Stricter confluence, fewer zones
Higher = More zones detected
Order Flow Analysis:
Show Real-Time Order Flow: Live buyer/seller activity
Show Aggressive Markers: (AGG) labels for market orders
Show Directional Arrows: Price direction indicators (↑↓↔↗↘)
Absorption Threshold: 1.5x (when one side overwhelms the other)
1.5 = 50% more volume needed
2.0 = 100% more (stricter)
1.2 = 20% more (more sensitive)
Visual Options:
Hide Depleted Zones: Auto-remove exhausted blocks
Smart Bar Coloring: Color candles based on signal alignment
Zone Colors: Customize buy/sell colors
Label Text Size: Tiny, Small, Normal, Large
POC Settings:
Show POC Lines: Toggle Point of Control display
POC Analysis Levels: 3-10 levels
Line Width: 1-5 pixels
Line Style: Solid, Dashed, or Dotted
Trading Applications
1. Institutional Order Detection - Identify where large players positioned limit orders using Volume Profile POC + Market Structure confluence
2. Support/Resistance Validation - Dual confirmation filters weak levels, highlights high-probability reversal areas
3. Order Flow Imbalance Trading - Trade in direction of aggressive flow using (AGG) markers, fade zones showing absorption
4. Breakout/Breakdown Confirmation - and statuses validate moves through key levels
5. Liquidity Hunting - Track stop-loss clusters, anticipate stop runs based on depletion patterns
6. Entry Refinement - Use POC lines for precise limit placement at "fairest price" within zones
Combined Signal System
HVN Volume Profile × Market Structure Signals:
STRONG BUY: Both engines bullish + structure break up + volume confirmation
BUY: Bullish bias with partial confirmation
WEAK BUY: Early bullish signals
STRONG SELL: Both engines bearish + structure break down + volume confirmation
SELL: Bearish bias with partial confirmation
WEAK SELL: Early bearish signals
Alert Conditions:
Strong Buy/Sell signals (with volume confirmation)
Confluence zone activation (new order block created)
Order block depletion (zone exhausted)
What Makes This Indicator Unique
Industry-Standard Foundation:
Volume Profile POC detection + Market Structure analysis (swing pivots, BOS/MSS) + Point of Control tracking
Unique Innovations:
Dynamic Confluence Algorithm + Aggressive vs Passive Order Flow Decomposition + Adaptive Depletion Thresholds + Real-Time Absorption Detection + Battle Analysis with (AGG) markers + Complete Unified Methodology
Technical Excellence:
Resource-optimized (max 50 zones), comprehensive safety checks, multi-tier labeling, flexible customization
Best Practices
Wait for first touch - No label = untested zone
Watch (AGG) markers - Institutional urgency signal
Trust adaptive depletion - Strong zones failing early = major reversal
Use POC for entries - Best price within zone
Combine higher timeframes - Daily/4H zones strongest
Respect zones - Failed support becomes resistance
Follow battle labels - Contested areas show stop clusters
Adjust sensitivity - Tight ranges = lower %, trending = higher %
Performance Notes
Maximum Active Zones: 50 (automatic cleanup)
Maximum Lines: 400 (POC managed dynamically)
Lookback Cap: 1000 bars for optimization
Updates: All calculations on bar close for confirmed signals
ULTIMATE ORDER FLOW SYSTEM🔥 ULTIMATE ORDER FLOW SYSTEM
Overview
This comprehensive order flow analysis tool combines **Volume Profile**, **Cumulative Delta**, and **Large Order Detection** to identify high-probability trading setups. The script analyzes institutional order flow patterns and volume distribution to pinpoint key levels where price is likely to react.
📊 Core Components & Methodology
🔥 ULTIMATE ORDER FLOW SYSTEM
Overview
This comprehensive order flow analysis tool combines Volume Profile, Cumulative Delta, and Large Order Detection to identify high-probability trading setups. The script analyzes institutional order flow patterns and volume distribution to pinpoint key levels where price is likely to react.
________________________________________
📊 Core Components & Methodology
1. Volume Profile Analysis
The script constructs a horizontal volume profile by:
• Dividing the price range into configurable rows (default: 20)
• Accumulating volume at each price level over a lookback period (default: 50 bars)
• Separating buy volume (green bars close > open) from sell volume (red bars)
• Identifying three critical levels:
o POC (Point of Control): Price level with highest traded volume - acts as a strong magnet
o VAH/VAL (Value Area High/Low): Contains 70% of total volume - defines fair value zone
o HVN (High Volume Nodes): Resistance zones where institutions accumulated positions
o LVN (Low Volume Nodes): Thin zones that price moves through quickly - ideal targets
Why This Matters: Institutional traders leave footprints through volume. HVN zones show where large players defended levels, making them reliable support/resistance.
________________________________________
2. Cumulative Delta (Order Flow)
Tracks the running total of buying vs selling pressure:
• Bar Delta: Difference between buy and sell volume per candle
• Cumulative Delta: Sum of all bar deltas - shows net directional pressure
• Delta Moving Average: Smoothed delta (20-period) to identify trend
• Delta Divergences:
o Bullish: Price makes lower low, but delta makes higher low (absorption at bottom)
o Bearish: Price makes higher high, but delta makes lower high (exhaustion at top)
How It Works: When cumulative delta trends up while price consolidates, it signals accumulation. Delta divergences reveal when smart money is positioned opposite to retail expectations.
________________________________________
3. Large Order Detection
Identifies institutional-sized orders in real-time:
• Compares current bar volume to 20-period moving average
• Flags orders exceeding 2.5x average volume (configurable multiplier)
• Distinguishes bullish (green circles below) vs bearish (red circles above) large orders
Rationale: Sudden volume spikes at key levels indicate institutional participation - the "fuel" needed for breakouts or reversals.
________________________________________
🎯 Trading Signal Logic
Combined Setup Criteria
The script generates SHORT and LONG signals when multiple conditions align:
SHORT Signal Requirements:
1. Price reaches an HVN resistance zone (within 0.2%)
2. Large sell order detected (volume spike + red candle)
3. Cumulative delta is bearish OR bearish divergence present
4. 10-bar cooldown between signals (prevents overtrading)
LONG Signal Requirements:
1. Price reaches an HVN support zone
2. Large buy order detected (volume spike + green candle)
3. Cumulative delta is bullish OR bullish divergence present
4. 10-bar cooldown enforced
________________________________________
🔧 Customization Options
Setting - Purpose - Recommendation
Volume Profile Rows - Granularity of level detection - 20 (balanced)
Lookback Period - Historical data analyzed - 50 bars (intraday), 200 (swing)
Large Order Multiplier - Sensitivity to volume spikes - 2.5x (standard), 3.5x (conservative)
HVN Threshold - Resistance zone detection - 1.3 (default)
LVN Threshold - Target zone identification - 0.6 (default)
Divergence Lookback - Pivot detection period - 5 bars (responsive)
________________________________________
📈 Dashboard Indicators
The real-time panel displays:
• POC: Current Point of Control price
• Location: Whether price is at HVN resistance
• Orders: Current large buy/sell activity
• Cumulative Δ: Net order flow value + trend direction
• Divergence: Active bullish/bearish divergences
• Bar Strength: % of candle volume that's directional (>65% = strong)
• SETUP: Current trade signal (LONG/SHORT/WAIT)
________________________________________
🎨 Visual System
• Yellow POC Line: Highest volume level - primary pivot
• Blue Value Area Box: Fair value zone (VAH to VAL)
• Red HVN Zones: Resistance/support from institutional accumulation
• Green LVN Zones: Low-liquidity targets for quick moves
• Volume Bars: Green (buy pressure) vs Red (sell pressure) distribution
• Triangles: LONG (green up) and SHORT (red down) entry signals
• Diamonds: Divergence warnings (cyan=bullish, fuchsia=bearish)
________________________________________
💡 How This Script Is Unique
Unlike standalone volume profile or delta indicators, this script:
1. Synthesizes three complementary methods - volume structure, order flow momentum, and liquidity detection
2. Requires multi-factor confirmation - signals only trigger when price, volume, and delta align at key zones
3. Adapts to market regime - delta filters ensure you're trading with the dominant order flow direction
4. Provides context, not just signals - the dashboard helps you understand why a setup is forming
________________________________________
⚙️ Best Practices
Timeframes:
• 5-15 min: Scalping (use 30-50 bar lookback)
• 1-4 hour: Swing trading (use 100-200 bar lookback)
Risk Management:
• Enter on signal candle close
• Stop loss: Beyond nearest HVN/LVN zone
• Target 1: Next LVN level
• Target 2: Opposite value area boundary
Filters:
• Avoid signals during major news events
• Require bar delta strength >65% for aggressive entries
• Wait for delta MA cross confirmation in ranging markets
________________________________________
🚨 Alerts Available
• Long Setup Trigger
• Short Setup Trigger
• Bullish/Bearish Divergence Detection
• Large Buy/Sell Order Execution
________________________________________
📚 Educational Context
This methodology is based on principles used by professional order flow traders:
• Market Profile Theory: Volume distribution reveals fair value
• Tape Reading: Large orders show institutional intent
• Auction Theory: Price seeks areas of liquidity imbalance (LVN zones)
The script automates pattern recognition that discretionary traders spend years learning to identify manually.
________________________________________
⚠️ Disclaimer
This indicator is a trading tool, not a trading system. It identifies high-probability setups based on order flow analysis but requires proper risk management, market context, and trader discretion. Past performance does not guarantee future results.
________________________________________
Version: 6 (Pine Script)
Type: Overlay + Separate Pane (Delta Panel)
Resource Usage: Moderate (500 bars history, 500 lines/boxes)
________________________________________
For questions or support, please comment below. If you find this script valuable, please boost and favorite! 🚀
1. Volume Profile Analysis
The script constructs a horizontal volume profile by:
- Dividing the price range into configurable rows (default: 20)
- Accumulating volume at each price level over a lookback period (default: 50 bars)
- Separating buy volume (green bars close > open) from sell volume (red bars)
- Identifying three critical levels:
- POC (Point of Control): Price level with highest traded volume - acts as a strong magnet
- VAH/VAL (Value Area High/Low): Contains 70% of total volume - defines fair value zone
- HVN (High Volume Nodes): Resistance zones where institutions accumulated positions
- LVN (Low Volume Nodes): Thin zones that price moves through quickly - ideal targets
Why This Matters: Institutional traders leave footprints through volume. HVN zones show where large players defended levels, making them reliable support/resistance.
---
2. Cumulative Delta (Order Flow)
Tracks the running total of buying vs selling pressure:
- **Bar Delta**: Difference between buy and sell volume per candle
- **Cumulative Delta**: Sum of all bar deltas - shows net directional pressure
- **Delta Moving Average**: Smoothed delta (20-period) to identify trend
- **Delta Divergences**:
- **Bullish**: Price makes lower low, but delta makes higher low (absorption at bottom)
- **Bearish**: Price makes higher high, but delta makes lower high (exhaustion at top)
**How It Works**: When cumulative delta trends up while price consolidates, it signals accumulation. Delta divergences reveal when smart money is positioned opposite to retail expectations.
---
### 3. **Large Order Detection**
Identifies **institutional-sized orders** in real-time:
- Compares current bar volume to 20-period moving average
- Flags orders exceeding 2.5x average volume (configurable multiplier)
- Distinguishes bullish (green circles below) vs bearish (red circles above) large orders
**Rationale**: Sudden volume spikes at key levels indicate institutional participation - the "fuel" needed for breakouts or reversals.
---
## 🎯 Trading Signal Logic
### Combined Setup Criteria
The script generates **SHORT** and **LONG** signals when multiple conditions align:
**SHORT Signal Requirements:**
1. Price reaches an HVN resistance zone (within 0.2%)
2. Large sell order detected (volume spike + red candle)
3. Cumulative delta is bearish OR bearish divergence present
4. 10-bar cooldown between signals (prevents overtrading)
**LONG Signal Requirements:**
1. Price reaches an HVN support zone
2. Large buy order detected (volume spike + green candle)
3. Cumulative delta is bullish OR bullish divergence present
4. 10-bar cooldown enforced
---
## 🔧 Customization Options
| Setting | Purpose | Recommendation |
|---------|---------|----------------|
| **Volume Profile Rows** | Granularity of level detection | 20 (balanced) |
| **Lookback Period** | Historical data analyzed | 50 bars (intraday), 200 (swing) |
| **Large Order Multiplier** | Sensitivity to volume spikes | 2.5x (standard), 3.5x (conservative) |
| **HVN Threshold** | Resistance zone detection | 1.3 (default) |
| **LVN Threshold** | Target zone identification | 0.6 (default) |
| **Divergence Lookback** | Pivot detection period | 5 bars (responsive) |
---
## 📈 Dashboard Indicators
The real-time panel displays:
- **POC**: Current Point of Control price
- **Location**: Whether price is at HVN resistance
- **Orders**: Current large buy/sell activity
- **Cumulative Δ**: Net order flow value + trend direction
- **Divergence**: Active bullish/bearish divergences
- **Bar Strength**: % of candle volume that's directional (>65% = strong)
- **SETUP**: Current trade signal (LONG/SHORT/WAIT)
---
## 🎨 Visual System
- **Yellow POC Line**: Highest volume level - primary pivot
- **Blue Value Area Box**: Fair value zone (VAH to VAL)
- **Red HVN Zones**: Resistance/support from institutional accumulation
- **Green LVN Zones**: Low-liquidity targets for quick moves
- **Volume Bars**: Green (buy pressure) vs Red (sell pressure) distribution
- **Triangles**: LONG (green up) and SHORT (red down) entry signals
- **Diamonds**: Divergence warnings (cyan=bullish, fuchsia=bearish)
---
## 💡 How This Script Is Unique
Unlike standalone volume profile or delta indicators, this script:
1. **Synthesizes three complementary methods** - volume structure, order flow momentum, and liquidity detection
2. **Requires multi-factor confirmation** - signals only trigger when price, volume, and delta align at key zones
3. **Adapts to market regime** - delta filters ensure you're trading with the dominant order flow direction
4. **Provides context, not just signals** - the dashboard helps you understand *why* a setup is forming
---
## ⚙️ Best Practices
**Timeframes:**
- 5-15 min: Scalping (use 30-50 bar lookback)
- 1-4 hour: Swing trading (use 100-200 bar lookback)
**Risk Management:**
- Enter on signal candle close
- Stop loss: Beyond nearest HVN/LVN zone
- Target 1: Next LVN level
- Target 2: Opposite value area boundary
**Filters:**
- Avoid signals during major news events
- Require bar delta strength >65% for aggressive entries
- Wait for delta MA cross confirmation in ranging markets
---
## 🚨 Alerts Available
- Long Setup Trigger
- Short Setup Trigger
- Bullish/Bearish Divergence Detection
- Large Buy/Sell Order Execution
---
## 📚 Educational Context
This methodology is based on principles used by professional order flow traders:
- **Market Profile Theory**: Volume distribution reveals fair value
- **Tape Reading**: Large orders show institutional intent
- **Auction Theory**: Price seeks areas of liquidity imbalance (LVN zones)
The script automates pattern recognition that discretionary traders spend years learning to identify manually.
---
## ⚠️ Disclaimer
This indicator is a **trading tool, not a trading system**. It identifies high-probability setups based on order flow analysis but requires proper risk management, market context, and trader discretion. Past performance does not guarantee future results.
---
**Version**: 6 (Pine Script)
**Type**: Overlay + Separate Pane (Delta Panel)
**Resource Usage**: Moderate (500 bars history, 500 lines/boxes)
---
*For questions or support, please comment below. If you find this script valuable, please boost and favorite!* 🚀
Pristine Value Areas & MGIThe Pristine Value Areas indicator enables users to perform comprehensive technical analysis through the lens of the market profile in a fraction of the time! 🏆
A Market Profile is a charting technique devised by J. Peter Steidlmayer, a trader at the Chicago Board of Trade (CBOT), in the 1980's. He created it to gain a deeper understanding of market behavior and to analyze the auction process in financial markets. A market profile is used to analyze an auction using price, volume, and time to create a distribution-based view of trading activity. It organizes market data into a bell-curve-like structure, which reveals areas of value, balance, and imbalance.
💠 How is a Value Area Calculated?
A value area is a distribution of 68%-70% of the trading volume over a specific time interval, which represents one standard deviation above and below the point of control, which is the most highly traded level over that period.
The key reference points are as follows:
Value area low (VAL) - The lower boundary of a value area
Value area high (VAH) - The upper boundary of a value area
Point of Control (POC) - The price level at which the highest amount of a trading period's volume occurred
If we take the probability distribution of trading activity and flip it 90 degrees, the result is our Pristine Value Area!
Market Profile is our preferred method of technical analysis at Pristine Capital because it provides an objective and repeatable assessment of whether an asset is being accumulated or distributed by institutional investors. Market Profile levels work remarkably well for identifying areas of interest, because so many institutional trading algorithms have been programmed to use these levels since the 1980's!
The benefits of using Market Profile include better trade location, improved risk management, and enhanced market context. It helps traders differentiate between trending and consolidating markets, identify high-probability trade setups, and adjust their strategies based on whether the market is in balance (consolidation) or imbalance (trending). Unlike traditional indicators that rely on past price movements, Market Profile provides real-time insights into trader behavior, giving an edge to those who can interpret its nuances effectively.
Virgin Point of Control (VPOC) - A point of control from a previous time period that has not yet been revisited in subsequent periods. VPOCs are great for identifying prior supply or demand zones.
Below is a great example of price reversing lower after taking out an upside VPOC
💠 Are all POCs Created Equal?
If POCs are used to gauge supply & demand zones at key levels, then a POC with higher volume should be viewed as more significant than a POC that traded lower volume, right? We created Golden POCs as a tool to identify high volume POCs on all timeframes.
Golden POC (GPOC) - A POC that traded the highest volume compared to prior POCs (proprietary to Pristine Capital)
We calculate value areas for the following time intervals based on the user selected timeframe:
5 Minute and 15 Minute Timeframes -> Daily Value Area
The daily value area paints the distribution of the PRIOR session's trading activity. The "d" in the label references for VAHd, POCd and VALd is a visual cue that value area shown is daily.
1 Hour Timeframe -> Weekly Value Area
The weekly value area paints the distribution of the PRIOR week's trading activity. The "w" in the label references for VAHw, POCw and VALw is a visual cue that value area shown is weekly.
1 Day Timeframe -> Monthly Value Area
The monthly value area paints the distribution of the PRIOR month's trading activity. The "m" in the label references for VAHm, POCm and VALm is a visual cue that value area shown is monthly.
1 Week Timeframe -> Yearly Value Area
The yearly value area paints the distribution of the PRIOR year's trading activity. The "y" in the label references for VAHy, POCy and VALy is a visual cue that value area shown is yearly.
💠 What is a developing value area?
The developing value area provides insight into the upcoming value area while it is still forming! It appears when 80% of the way through the current value area. As the end of a trading period approaches, it can make sense to start trading off the developing value area. When the time period flips, the developing value area becomes the active value area!
💠 Value Areas Trading Setups
Two popular market profile concepts are the bullish and bearish 80% rules. The concept is that there is an 80% probability that the market will traverse the entire relevant value area.
Bullish 80% Rule - If a security opens a period below the value area low , and subsequently closes above it, the bullish 80% rule triggers, turning the value area green. One can trade for a move to the top of the value area, using a close below the value area low as a potential stop!
In the below example, HOOD triggered the bullish 80% rule after it reclaimed the monthly value area!
HOOD proceeded to rally through the monthly value area and beyond in subsequent trading sessions. Finding the first stocks to trigger the bullish 80% rule after a market correction is key for spotting the next market leaders!
Bearish 80% Rule - If a security opens a period above the value area high , and subsequently closes below it, the bearish 80% rule triggers, turning the value area red. One can trade for a move to the bottom of the value area, using a close above the value area high as a potential stop!
ES proceeded to follow through and test the value area low before trending below the weekly value area
Value Area Breakouts - When a security is inside of value, the auction is in balance. When it breaks out from a value area, it could be entering a period of price discovery. One can trade these breaks out of value with tight risk control by setting a stop inside the value area! These breakouts can be traded on all chart timeframes depending on the timeframe of the individual trader. Combining multiple timeframes can result in even more effective trading setups.
RBLX broke out from the monthly value area on 4/22/25👇
RBLX proceeded to rally +62.78% in 39 trading sessions following the monthly VAH breakout!
💠 Market Generated Information to Improve Your Situational Awareness!
In addition to the value areas, we've also included stat tables with useful market generated information. The stats displayed vary based on the timeframe the user has up on their screen. This incentivizes traders to check the chart on multiple timeframes before taking a trade!
Metrics Grouped By Use Case
Performance
▪ YTD α - YTD Alpha (α) measures the risk-adjusted, excess return of a security over its user defined benchmark, on a year-to-date basis.
▪ MTD α - MTD Alpha (α) measures the risk-adjusted, excess return of a security over its user defined benchmark, on a month-to-date basis.
▪ WTD α - WTD Alpha (α) measures the risk-adjusted, excess return of a security over its user defined benchmark, on a week-to-date basis.
▪ YTD %Δ - Year-to-date percent change in price
▪ MTD %Δ - Month-to-date percent change in price
▪ WTD %Δ - Week-to-date percent change in price
Volatility
▪ ATR % - The Average True Range (ATR) expressed as a percentage of an asset's price.
▪ Beta - Measures the price volatility of a security compared to the S&P 500 over the prior 5 years (since inception if 5 years of data is not available)
Risk Analysis
▪ LODx - Low-of-day extension - ATR % multiple from the low of day (measures how extended a stock is from its low of day)
▪ MAx - Moving average extension - ATR % multiple from the user-defined moving average (measures how extended a security is from its moving average). Default moving average = 50D SMA
Why does MAx matter?
MAx measures the number of ATR % multiples a security is trading away from a key moving average. The default moving average length is 50 days.
MAx can be used to identify mean reversion trades . When a security trends strongly in one direction and moves significantly above or below its moving average, the price often tends to revert back toward the average.
Example, if the ATR % of the security is 5%, and the stock is trading 50% higher than the 50D SMA, the MAx would be 50%/5% = 10. A user might opt to take a countertrend trade when the MAx exceeds a predetermined level.
The MAx can also be useful when trading breakouts above or below the key moving average of your choosing. The lower the MAx, the tighter stop loss one can take if trading against that level.
Identifying an extreme price extension using MAx 👇
Price mean reverted immediately following the high MAx 👇
💠 Trend Analysis
The Trend Analysis section consists of short-term and long-term stage analysis data as well as the value area timeframe and price in relation to the value area.
Stage Analysis
▪ ST ⇅ - Short-term stage analysis indicator
▪ LT ⇅ - Long-term stage analysis indicator
Short-term and long-term stage analysis data is provided in the two rightmost columns of each table. The columns are labeled ST ⇅ and LT ⇅.
Why is Stage Analysis important? Popularized by Stan Weinstein, stage analysis is a trend following system that classifies assets into four stages based on price-trend analysis.
The problem? The interpretation of stage analysis is highly subjective. Based on the methodology provided in Stan Weinstein’s books, five different traders could look at the same chart, and come to different conclusions as to which stage the security is in!
We solved for this by creating our own methodology for classifying stocks into stages using moving averages. This indicator automates that analysis, and produces short-term and long-term trend signals based on user-defined key moving averages. You won’t find this in any textbook or course, because it’s completely unique to the Pristine trading methodology.
Our indicator calculates a short-term trend signal using two moving averages; a fast moving average, and a slow moving average. We default to the 10D EMA as the fast moving average & the 20D SMA as the slow moving average. A trend signal is generated based on where price is currently trading with respect to the fast moving average and the slow moving average. We use the signal to guide shorter-term swing trades.
In general, we want to take long trades in stocks with strengthening trends, and short trades in stocks with weakening trends. The user is free to change the moving averages based on their own short-term timeframe. Every trader is unique!
The same process is applied to calculate the long-term trend signal. We default to the 50D SMA as our fast moving average, and the 200D SMA as the slow moving average for the LT ⇅ signal calculation, but users can change these to fit their own unique trading style.
What is Stage 1?
Stage 1 identifies stocks that transitioned from downtrends, into bottoming bases.
Stage 1A - Bottom Signal: Marks the first day a security shows initial signs of recovery after a downtrend, with early indications of strength emerging.👇
Stage 1B - Bottoming Process: Identifies the ongoing phase where the security continues to stabilize and strengthen, confirming the base-building process after the initial signal.👇
Stage 1R - Failed Uptrend: Detects when a security that had entered an early uptrend loses momentum and slips back into a bottoming phase, signaling a failed breakout.👇
What is Stage 2?
Stage 2 identifies stocks that transitioned from bottoming bases to uptrends.
Stage 2A - Breakout: Marks the first day a security decisively breaks out, signaling the start of a new uptrend.👇
Stage 2B - Uptrend: Identifies when the security continues to trade in an established uptrend following the initial breakout, with momentum building but not yet showing full strength.👇
Stage 2C - Strong Uptrend: Detects when the uptrend strengthens further, with the security displaying clear signs of accelerating strength and buying pressure.👇
Stage 2R - Failed Breakdown: Detects when a security that had recently entered a corrective phase reverses course and reclaims its upward trajectory, moving back into an uptrend.👇
What is Stage 3?
Stage 3 identifies stocks that transitioned from uptrends to topping bases.
Stage 3A - Top Signal: Marks the first day a security shows initial signs of weakness after an uptrend, indicating the start of a potential topping phase.👇
Stage 3B - Topping Process: Identifies the period following the initial signal when the security continues to show signs of distribution and potential trend exhaustion.👇
Stage 3R - Failed Breakdown: Detects when a security that had entered a deeper corrective phase reverses upward, recovering enough strength to re-enter the topping phase.👇
What is Stage 4?
Stage 4 identifies stocks that transitioned from topping bases to downtrends.
Stage 4A - Breakdown: Marks the first day a security decisively breaks below key support levels, signaling the start of a new downward trend.👇
Stage 4B - Downtrend: Identifies when the security continues to trend lower following the initial breakdown, with sustained bearish momentum, though not yet fully entrenched.👇
Stage 4C - Strong Downtrend: Detects when the downtrend intensifies, with the security displaying clear signs of accelerating weakness and selling pressure.👇
Stage 4R - Failed Bottom: Detects when a security that had begun to show early signs of bottoming reverses course and resumes its decline, falling back into a downtrend.👇
Stage N/A - Recent IPO: Applies to stocks that recently IPO’ed and don’t have enough data to calculate all necessary moving averages.
Value Area
In Trend Analysis, the value area information is helpful to gauge price in relation to the value area.
▪ VA(y) - Categorizes the security based on the relation of price to the yearly value area
▪ VA(m) - Categorizes the security based on the relation of price to the monthly value area
▪ VA(w) - Categorizes the security based on the relation of price to the weekly value area
Value area states:
▪ ABOVE = Price above the value area high
▪ BELOW = Price below the value area low
▪ INSIDE = Price inside the value area
▪ Bull 80% = Bullish 80% rule in effect
▪ Bear 80% rule = Bearish 80% rule in effect
For example, in the chart above, VA(m) - ABOVE indicates a monthly value area and price is above the VAH.
💠 What Makes This Indicator Unique
There are many value area indicators, however...
Value Area
▪ Golden POC (GPOC) - This is a proprietary concept.
▪ Unique Label Customization
Pristine value areas often comprehensive and unique label customizations. Styles include options to display any combination of the following on your labels:
• Price levels associated with market profile levels
• % distance of market profile levels from security price
• ATR% extension of market profile levels from security price
Multi-Timeframe Analysis
Based on the chart timeframe, unique market generated information is shown to facilitate multi-timeframe analysis.
▪ Weekly Timeframe
On the weekly timeframe the focus is the bigger picture and the metrics reflect this perspective. Performance data includes YTD Alpha and YTD percent change in price. Volatility is measured using ATR % and the industry standard beta. Trend analysis for this higher timeframe include the 52-week range, which measures where a security is trading in relation to its 52wk high and 52wk low. Also included is the where price is in relation to yearly value area.
▪ Daily Timeframe
As one drills down to the daily timeframe, the performance metrics include MTD alpha and MTD percent change in price.
Risk analysis includes the low-of-day extension (LODx), which is the ATR % multiple from the low of the day, to measures how extended a stock is from its low of day. In addition, the moving average extension (MAx) is the ATR % multiple from the user-defined moving average, measures how extended a security is from its
moving average. The default moving average is the 50D SMA, however this can be customized in Settings.
Trend Analysis on the daily timeframe includes the Pristine Capital methodology for classifying stocks into stages using moving averages. Both short-term and long-term stage analysis data is included. Finally, price in relation to monthly value area is shown.
▪ Hourly Timeframe
An the hourly timeframe, performance metrics include WTD alpha and WTD percent change in price. Trend analysis includes the daily closing range (DCR) and price in relation to weekly value area.
💠 Settings and Preferences
💠 Acknowledgements
We'd like to thank @dgtrd, a TradingView Pine Wizard, for his insight on the finer details when working with volume profiles.
Advanced Volume Profile Levels (Working)This indicator is a powerful tool for traders who use volume profile analysis to identify significant price levels. It automatically calculates and plots the three most critical levels derived from volume data—the Point of Control (POC), Value Area High (VAH), and Value Area Low (VAL)—for three different timeframes simultaneously: the previous week, the previous day, and the current, live session.
The primary focus of this indicator is unmatched readability. It features dynamic, floating labels that stay clear of price action, combined with a high-contrast design to ensure you can see these crucial levels at a glance without any visual clutter.
Key Features
Multi-Session Analysis: Gain a complete market perspective by viewing levels from different timeframes on a single chart.
Weekly Levels: Identify the long-term areas of value and control from the prior week's trading activity.
Daily Levels: Pinpoint the most significant levels from the previous day's Regular Trading Hours (9:30 AM - 4:00 PM ET).
Current Session Levels: Track the developing value area and POC in real-time with a dynamic profile that updates with every bar.
Advanced Visuals for Clarity:
Floating Labels: The labels for the weekly and daily levels intelligently "float" on the right side of your chart, moving with the price to ensure they are never obscured by candles.
High-Contrast Design: Labels are designed for maximum readability with solid, opaque backgrounds and an automatic text color (black or white) that provides the best contrast against your chosen level color.
Trailing Current Levels: The labels for the current session neatly trail the most recent price action, providing an intuitive view of intra-day developments.
Comprehensive Customization: Tailor the indicator's appearance to your exact preferences.
Toggle each profile (Weekly, Daily, Current) on or off.
Individually set the color, line style (solid, dashed, dotted), and line width for each set of levels.
Adjust the text size, background transparency, and horizontal offset for all on-chart labels.
Information Hub:
On-Chart Price Labels: Each label clearly displays both the level name and its precise price (e.g., "D-POC: 22068.50").
Corner Table: An optional, clean table in the top-right corner provides a quick summary of all active weekly and daily level values.
Built-in Alerts:
Create alerts directly from the script to be notified whenever the price crosses above or below the weekly or daily Point of Control, helping you stay on top of key market movements.
How to Use
The levels provided by this indicator serve as powerful reference points for market activity:
Point of Control (POC): The price level with the highest traded volume. It acts as a magnet for price and represents the area of "fair value" for that session. Markets often test or revert to the POC.
Value Area High (VAH) & Value Area Low (VAL): These levels define the range where approximately 70% of the session's volume occurred. They are critical support and resistance zones.
Price acceptance above the VAH may signal a bullish breakout.
Price acceptance below the VAL may signal a bearish breakdown.
Rejection at the VAH or VAL often leads to price moving back across the value area towards the POC.
VolumeProfileLibrary "VolumeProfile"
Analyzes volume and price and calculates a volume profile, in particular the Point Of Control and Value Area values.
new(rowSizeInTicks, valueAreaCoverage, startTime)
Constructor method that creates a new Volume Profile
Parameters:
rowSizeInTicks (float) : Internal row size (aka resolution) of the volume profile. Useful for most futures contracts would be '1 / syminfo.mintick'. Default '4'.
valueAreaCoverage (int) : Percentage of total volume that is considered the Value Area. Default '70'
startTime (int) : Start time (unix timestamp in milliseconds) of the Volume Profile. Default 'time'.
Returns: VolumeProfile object
method calculatePOC(vp)
Calculates current Point Of Control of the VP
Namespace types: VolumeProfile
Parameters:
vp (VolumeProfile)
Returns: void
method calculateVA(vp)
Calculates current Value Area High and Low of the VP
Namespace types: VolumeProfile
Parameters:
vp (VolumeProfile)
Returns: void
method update(vp, h, l, v, t)
Processes new chart data and sorts volume into rows. Then calls calculatePOC() and calculateVA() to update the VP. Parameters are usually the output of request.security_lower_tf.
Namespace types: VolumeProfile
Parameters:
vp (VolumeProfile)
h (array) : Array of highs
l (array) : Array of lows
v (array) : Array of volumes
t (array) : Array of candle times
Returns: void
method setSessionHigh(vp, h)
Sets the high of the session the VP is tracking
Namespace types: VolumeProfile
Parameters:
vp (VolumeProfile)
h (float)
Returns: void
method setSessionLow(vp, l)
Sets the low of the session the VP is tracking
Namespace types: VolumeProfile
Parameters:
vp (VolumeProfile)
l (float)
Returns: void
method getPOC(vp)
Gets the current Point Of Control
Namespace types: VolumeProfile
Parameters:
vp (VolumeProfile)
Returns: Point Of Control (float)
method getVAH(vp)
Gets the current Value Area High
Namespace types: VolumeProfile
Parameters:
vp (VolumeProfile)
Returns: Value Area High (float)
method getVAL(vp)
Gets the current Value Area Low
Namespace types: VolumeProfile
Parameters:
vp (VolumeProfile)
Returns: Value Area Low (float)
VolumeProfile
Fields:
rowSizeInTicks (series float)
valueAreaCoverage (series int)
startTime (series int)
valueAreaHigh (series float)
pointOfControl (series float)
valueAreaLow (series float)
sessionHigh (series float)
sessionLow (series float)
volumeByRow (map)
totalVolume (series float)
pocRow (series float)
pocVol (series float)
Trend_Prime_MasterTrend_Prime_Master is a trend-following indicator designed to help traders identify potential buy and sell signals with enhanced clarity and reliability. This indicator integrates multiple technical analysis tools into a cohesive system, maximizing their individual strengths to offer traders a comprehensive view of market trends. With its advanced blend of market structure analysis, multiple EMAs, custom volume and momentum indicators, and multi-timeframe trend confirmation, Trend_Prime_Master is tailored to navigate the complexities of financial markets.
Core Features
Trend_Prime_Master offers a suite of features that provide in-depth analysis and actionable insights into market trends:
Multi-Timeframe Trend Analysis: This feature ensures that the signals you act on are aligned with broader market trends by filtering and confirming them across various timeframes. By aligning your trades with the larger market direction, you improve the overall consistency of your trading decisions.
Sophisticated Signal Generation: Signals are generated based on a confluence of technical conditions, including Exponential Moving Average (EMA) crossovers and custom momentum indicators. This multi-layered approach helps focus on signals that have strong backing from market conditions, thereby increasing the reliability of trading decisions.
Color-Changing Trend Line: The trend line changes color based on the market's current direction, providing a quick visual cue for traders. Green indicates a bullish trend, while red signals a bearish trend. This feature simplifies the process of identifying trends, allowing traders to make informed decisions at a glance.
Adaptive Lines: The adaptive lines in Trend_Prime_Master adjust dynamically based on market conditions. These lines provide a more responsive view of the trend compared to static moving averages, particularly useful in volatile markets.
Short Trend Lines: In addition to the main trend line, Trend_Prime_Master includes short trend lines that focus on immediate market movements. These lines are based on shorter EMAs and offer additional layers of trend confirmation, particularly in fast-moving markets.
Custom Volume and Momentum Indicators: These advanced tools validate the strength of trends by assessing the underlying market pressure and the speed of price movements, ensuring that signals are supported by substantial market activity.
Heikin Ashi Integration: Heikin Ashi candles are used to smooth out price data, reducing noise and providing a clearer view of the underlying trend. This integration enhances the clarity and reliability of the signals, making it easier to follow the trend and make informed decisions.
CHoCH (Change of Character): CHoCH is a critical component in understanding market structure changes. It occurs when the market shows a significant shift in behavior, such as moving from a trending phase to a consolidation phase, or vice versa. Trend_Prime_Master automatically detects and labels CHoCH on the chart, helping traders anticipate potential reversals or shifts in market momentum.
Detailed Component Explanations
Every component in Trend_Prime_Master has been carefully selected and integrated to enhance the overall performance of the indicator. Here’s a detailed explanation of how these components work together:
EMA Combinations for Trend Identification: Trend_Prime_Master utilizes multiple EMAs with different periods to capture both short-term and long-term trends. By analyzing the relationship between faster and slower EMAs, the indicator identifies potential trend reversals and continuations. The combination of multiple EMAs helps in smoothing out price data, reducing noise, and providing a more accurate depiction of the trend.
Adaptive Lines: The adaptive lines in Trend_Prime_Master adjust dynamically based on changing market conditions. Unlike static moving averages, which use a fixed calculation period, adaptive lines recalibrate themselves to respond more effectively to shifts in market momentum. This allows traders to capture emerging trends more quickly and avoid the lag associated with traditional moving averages.
Short Trend Lines: Short trend lines are calculated using faster EMAs and are designed to highlight immediate market trends. These lines are particularly useful for traders who focus on short-term market movements, providing early indications of potential trend reversals or continuations. By combining short trend lines with longer EMAs, Trend_Prime_Master offers a multi-layered approach to trend analysis, ensuring that both short-term and long-term perspectives are considered.
Point of Control (POC):
The Point of Control (POC) is a key concept in volume profile analysis that represents the price level with the highest traded volume over a specific period. In Trend_Prime_Master, the POC line is automatically calculated and plotted on the chart. This level is crucial because it often acts as a significant support or resistance level, where price tends to gravitate towards or bounce off. By incorporating the POC, Trend_Prime_Master enhances your ability to identify critical price levels that are likely to influence future price movements.
The POC works synergistically with other components like EMAs and custom momentum indicators by confirming whether these technical signals align with high-volume price levels. For instance, a buy signal near the POC might suggest a strong support level, making the trade more likely to succeed, while a sell signal below the POC could indicate a potential breakout or continuation of a downtrend.
Break of Structure (BOS): BOS is a crucial concept in market structure analysis that indicates a significant change in market behavior. It occurs when the market breaks a previous high or low, suggesting a potential reversal or continuation of the trend. In Trend_Prime_Master, BOS is used to identify these critical moments, helping traders anticipate major market moves. BOS works in conjunction with other signals, such as EMA crossovers and trend line changes, to provide a comprehensive picture of the market's direction.
CHoCH (Change of Character): CHoCH refers to a sudden and significant shift in market behavior, often signaling a change from a trending market to a ranging one, or vice versa. This concept is crucial for traders who need to adjust their strategies based on the market’s current phase. Trend_Prime_Master automatically detects CHoCH moments and marks them on the chart, allowing traders to adapt their strategies promptly and effectively.
Custom Volume and Momentum Indicators: These custom indicators in Trend_Prime_Master go beyond standard tools by incorporating advanced calculations that consider both the direction and intensity of market moves. These indicators help validate the strength of a trend, ensuring that traders act on signals backed by strong market activity. This allows for a more nuanced view of trend strength, supporting better trading decisions.
Color-Changing Trend Line: This visual tool is not just a simple trend line; it dynamically adjusts its color based on the current trend direction, providing an immediate visual representation of the market’s state. When combined with other components like BOS and custom volume indicators, the color-changing trend line helps traders quickly assess whether the current market conditions favor a particular trade, reducing the cognitive load on traders and enabling faster decision-making.
Multi-Timeframe Filters: These filters ensure that the signals generated on a lower timeframe are consistent with the trends observed on higher timeframes. A signal is only considered valid if it aligns across these multiple timeframes, ensuring that your trades are supported by the broader market context.
Heikin Ashi Smoothing: Heikin Ashi candles are incorporated into Trend_Prime_Master to smooth out noise in price data. These candles average out price movements, making it easier to identify the underlying trend without being distracted by minor fluctuations. This smoothing effect is particularly useful in volatile markets, where traditional candlesticks might present a confusing picture of market behavior.
How It Works
Trend_Prime_Master integrates these tools into a cohesive system designed to provide clear and actionable insights into market trends:
EMA-Based Trend Identification: By analyzing multiple EMAs, Trend_Prime_Master identifies the prevailing market trend and potential reversals. This process involves comparing the positions of faster and slower EMAs to detect crossovers, which are key signals for trend changes.
Adaptive Lines: These lines adjust in real-time to reflect the current market conditions. They offer a more responsive trend-following approach compared to traditional moving averages, making them particularly useful in volatile or rapidly changing markets.
Short Trend Lines: These lines focus on short-term market trends, providing early signals of potential reversals or continuations. By tracking immediate price movements, short trend lines help traders respond quickly to market changes, offering a valuable perspective in fast-moving markets.
Point of Control (POC):The POC represents the price level with the highest traded volume over a specific period. In Trend_Prime_Master, the POC is plotted to help traders identify key levels where the market has shown significant interest. These levels often act as strong support or resistance and can be crucial in determining the validity of a trend. For instance, a signal near the POC might indicate a more reliable setup, as it shows that the price is aligning with a major volume level.
Break of Structure (BOS): BOS plays a pivotal role in confirming trend reversals. When the price breaks a significant structure, such as a previous high or low, it suggests that the market may be shifting direction. This is particularly important for traders looking to enter the market at the beginning of a new trend.
CHoCH (Change of Character): CHoCH is critical for recognizing shifts in market phases. For example, a CHoCH might indicate that a market is moving from a trend into a consolidation phase, or vice versa. By identifying these changes early, Trend_Prime_Master allows traders to adjust their strategies accordingly, whether that means tightening stop-losses in a trending market or preparing for breakout trades in a consolidating one.
Custom Volume and Momentum Confirmation: These custom indicators add an extra layer of validation to the signals generated by Trend_Prime_Master. By confirming that there is strong market participation and momentum behind a move, these indicators help ensure that traders are acting on signals supported by robust market activity.
Color-Changing Trend Line: This feature provides an easy-to-understand visual representation of the market's direction, changing color based on whether the market is in a bullish or bearish phase. It works in tandem with other components like EMAs and custom volume indicators to give traders a quick, comprehensive view of market conditions.
Settings
• Trading Style: Select the trading style that best suits your strategy (Short, Medium, Long, HTSpecial, Standard). This setting adjusts the parameters of the EMAs and other components to align with different timeframes, ensuring that the indicator is tuned to the specific market conditions you're trading in.
• Show Possible Signals: Toggle this setting to enable or disable the display of possible buy and sell signals. This allows traders to focus on confirmed signals or to see potential opportunities as they develop.
• Possible Signals Filter: If you wish to filter possible signals based on a higher timeframe trend, enable this option and select the appropriate higher timeframe. This helps ensure that the signals you act upon are in sync with broader market trends, reducing the risk of counter-trend trades.
Colors for Signals and Moving Averages:
• Customize the colors for bullish, bearish, and neutral signals, as well as for the various moving averages. This allows traders to personalize the visual aspects of the indicator, making it easier to interpret signals at a glance.
Trend Line Settings:
• Adaptive Line: Toggle to enable or disable the adaptive trend line, which adjusts dynamically based on market conditions. The line changes color to reflect the current trend direction, providing a quick visual cue.
• Short Trend Lines: Enable this option to display shorter-term trend lines. These lines help in identifying immediate market movements and can be particularly useful for short-term traders.
• Length and Smoothing: Adjust the length and smoothing parameters for the trend lines to fine-tune how responsive they are to price changes.
Point of Control (POC) Settings:
• Show POC Line: Toggle this setting to display the POC on your chart. The POC is a critical level where the most volume has been traded, and it often acts as a significant support or resistance level.
• POC Color and Width: Customize the color and width of the POC line to make it stand out or blend in with your other chart elements, depending on your preference.
Why It's Worth Paying For
Trend_Prime_Master provides several unique advantages that make it a valuable tool for traders:
Comprehensive Market Analysis: By integrating multiple technical analysis tools, Trend_Prime_Master provides a holistic view of market trends, helping you make more informed decisions.
Customization and Flexibility: The indicator’s settings can be easily adjusted to suit your trading style, whether you’re focusing on short-term trades or long-term investments.
Reliable Signal Generation: The multi-layered approach—combining EMAs, custom volume indicators, and trend lines—minimizes the likelihood of weak signals, enhancing your trading process.
Advanced Features: Features like multi-timeframe analysis, Heikin Ashi smoothing, and the color-changing trend line provide insights that are not typically found in other indicators, giving you a trading edge.
Enhanced Market Understanding: The ability to detect and act on changes in trend strength and momentum helps you develop a deeper understanding of market dynamics.
Consistency Across Markets: Trend_Prime_Master is designed to perform reliably across various market conditions, making it a versatile tool in any trading environment.
User-Friendly Interface: Despite its advanced capabilities, the indicator is easy to use, making it accessible to traders of all experience levels.
Ongoing Support and Updates: As a user of Trend_Prime_Master, you receive ongoing support and regular updates to keep the indicator effective and up-to-date with the latest market trends and techniques.
Risk Disclaimer
While Trend_Prime_Master is designed to deliver robust trading signals, it’s important to maintain realistic expectations:
Performance: The indicator is based on solid technical analysis principles, but it cannot predict the future or guarantee success. It should be used as part of a comprehensive trading strategy that includes effective risk management.
Signal Reliability: The signals generated are based on historical data and trends. While they are designed to be consistent with market conditions, they cannot guarantee future outcomes. Always be prepared for unexpected market changes.
Market Conditions: Trend_Prime_Master excels in trending markets but, like any tool, its effectiveness may vary in choppy or highly volatile conditions. Adjusting the settings and strategy according to the market environment is recommended.
How to Get Access
To gain access to Trend_Prime_Master, please send me a direct message on TradingView or use the provided link to request access. Ensure that access requests are made privately so the comments section can remain focused on discussions related to the script’s performance and use.
Market Core [BigBeluga]MARKET CORE Toolkit
The BigBeluga Market Core Toolkit is a comprehensive suite of advanced trading indicators designed to provide traders with a holistic view of market dynamics, structure, and potential opportunities.
In an ever-evolving market, relying on a single indicator can leave traders vulnerable to gaps in their analysis. The BigBeluga Market Core Toolkit addresses this challenge by integrating a range of complementary indicators that work synergistically to reveal the full picture. From detecting key support and resistance levels to identifying market structure shifts, volume imbalances, inefficiencies or analysis of money flow, this toolkit covers every aspect of market behavior.
⬤ Order Blocks
BigBeluga Order Blocks revolutionize the way traders visualize potential areas of significant market activity. Unlike traditional order block indicators that often result in cluttered, noisy charts, these Order Blocks are designed for clarity and effectiveness. They simulate and predict where large areas of market orders may rest by analyzing volume and volatility, providing excellent support or resistance areas.
The blocks offer cleaner chart presentation with reasonable distribution, volume ratio visualization within each block, and categorization into Strong, High and Balanced blocks.
Additionally, a third line has been introduced to rank order blocks by volume using a modified percent rank method for more precise ranking.
This ranking system uses percentile ranks, a concept commonly used in standardized tests. In the context of order blocks, the percentile rank of a particular order block's volume is interpreted as the percentage of the order blocks strength. This method provides a more nuanced and statistically robust way of comparing and prioritizing order blocks.
Key features:
Cleaner chart presentation with reasonable distribution of blocks
Volume ratio visualization within each block (bullish vs bearish)
Categorization into High and Balanced blocks for easy identification of significant levels
Relative volume percentage and volume delta display
Advanced ranking system using modified percent rank method for volume comparison
These Order Blocks help traders:
Forecast excellent support or resistance areas
Gain insight into the balance of the market at specific levels
Identify significant market levels at a glance
Visualize market imbalances through volume delta
Prioritize order blocks based on their relative volume importance
Make more informed decisions about potential entry and exit points
⬤ Beluga Profile
The Beluga Profile is a revolutionary market analysis tool that transforms complex market data into a clear, intuitive visual narrative. At its core, it combines a Dual-Profile Analysis, merging Delta Volume Profile with Money Flow Profile to give traders a comprehensive view of market dynamics.
The percentage scale on the left side aren't just numbers; they represent the Levels Strength Percentage, a crucial ranking system that immediately draws your attention to the most significant price zones. Complementing this, a heat map overlay brings these strength levels to life, offering an instant, color-coded representation of where the market's most influential areas lie.
To the right, a detailed breakdown of volume and money flow for each level provides the hard data behind the visual cues. This granular information allows you to dive deep into the market's structure, understanding not just where the significant levels are, but why they matter.
Below the main chart, the Delta Volume Bar serves as a foundation, showing the average delta of the volume profile. This bar is more than just a measure of volume – it's a window into the underlying forces driving price movement. Just above this bar, a macro trend indicator in the form of an arrow offers a quick, clear signal of the overall market direction based on these delta volume calculations.
But the Beluga Profile doesn't just show you what's happening – it helps you understand the 'why' and 'how'. The Adaptive Points of Interest feature allows you to customize your analysis, focusing on the areas that matter most to your trading strategy. You can select from various options including Money Flow, Delta+, Delta-, Volume+, and Level % (Highest), tailoring the display to your specific analytical needs. This flexibility ensures you can focus on the most relevant data for your trading style. Real-time Active Price Tracking ensures you're always in sync with the latest market movements.
All of these elements work in concert, creating a symphony of market information. They empower you to:
Spot key price levels with uncanny precision
Foresee potential market turns before they happen
Grasp the quality and strength of price moves
Adjust your strategy on the fly as market conditions shift
Develop a holistic understanding of market structure and participant behavior
Make informed decisions backed by a clear view of the overall market trend
In essence, the Beluga Profile isn't just a tool – it's your market storyteller, translating the complex language of price, volume, and money flow into a narrative that you can understand and act upon with confidence.
⬤ Smart Money Concepts (SMC)
The Smart Money Concepts component of the toolkit focuses on automatically detecting key market structures crucial in technical analysis. It identifies and visualizes Break of Structure (BOS) and Change of Character (CHOCH) patterns, helping traders spot potential trend reversals and significant market movements. This includes BOS identification when price breaks previous support or resistance and CHOCH detection for potential trend reversals, with automatic detection of both bullish and bearish patterns.
The latest enhancement to this feature adds a new layer of analysis through Delta Volume Calculation. When a BOS or CHOCH is detected, the toolkit calculates the delta volume within the range from the high or low point to the break point. This analysis considers all the candles in this range and determines whether the volume is predominantly bullish, bearish, or neutral.
Bullish Volume: If the delta volume is bullish, a green diamond is plotted at the high or low point, indicating potential upward momentum.
Bearish Volume: If the delta volume is bearish, a red diamond is plotted, suggesting downward pressure.
Neutral Volume: When the volume is neutral, a yellow diamond is displayed, indicating a balance in buying and selling forces.
This visual representation of volume dynamics provides an additional layer of insight, helping traders assess the strength and direction of price movements following a structure break. You can see an example of this on the attached image, where the diamonds clearly indicate the type of volume driving the breakout.
The toolkit also incorporates Fair Value Gap (FVG) Detection. Fair Value Gaps represent inefficiencies in the market, where there is an imbalance between buy and sell orders. These gaps often act as magnets for price, potentially leading to future reversals or continuations when filled. The toolkit identifies and highlights these gaps, allowing traders to recognize areas where the market may seek to rebalance.
Additionally, Double Top and Bottom Pattern Detection has been integrated, identifying potential reversal points at these classic price formations. Double tops signal potential bearish reversals after a price peak, while double bottoms suggest potential bullish reversals after a price dip. These patterns can be crucial indicators for traders looking to capitalize on upcoming trend changes.
Smart Money Concepts help traders:
Identify potential trend reversals early with a clearer view of market structure.
Recognize significant changes in market structure and volume participation.
Differentiate between temporary pullbacks and genuine trend changes using volume insights (color coded diamonds).
Shows Fair Value gaps which helps to identify price momentum and inefficiencies in the market.
This enhancement ensures that traders can not only see structural changes but also understand the volume behind those moves, leading to more informed and confident trading decisions.
⬤ Support and Resistance Levels
This powerful tool is designed to identify key price levels in the market, providing traders with a clear visual representation of potential support and resistance areas. It goes beyond simple level identification by incorporating a sophisticated ranking system and adjustable sensitivity.
The grading system of levels is a unique feature that evaluates the significance of high and low points in the price action. It takes into consideration how many times the price has touched or interacted with specific levels. This means that levels which have been tested multiple times are given higher importance in the ranking. For example, a price level that has acted as support or resistance three times will be ranked higher than a level that has only been touched once.
By leveraging this grading system, traders can focus on the most significant levels that have repeatedly influenced price action, potentially improving the accuracy of their trading decisions and risk management strategies.
This Support and Resistance Levels indicator helps traders:
Identify and prioritize potential reversal points based on their historical significance and frequency of price interaction
Set more accurate entry and exit points aligned with key market levels, focusing on those with higher ranking
Understand the hierarchical structure of market support and resistance, distinguishing between major and minor levels
Plan stop-loss and take-profit levels with greater precision, using the ranking to gauge the strength of each level
Adapt their analysis to varying market strengths and volatilities, with the ability to filter out less significant levels
Recognize recurring price patterns and potential breakout levels based on the ranked historical price interactions
⬤ How to Use the Toolkit
Each of these indicators, while powerful on its own, works synergistically with the others to provide a more complete picture of the market.
The strength of this toolkit lies in its ability to analyze the market from multiple perspectives
Combining these advanced trading indicators into a cohesive toolkit empowers traders with a comprehensive, multi-dimensional view of the market that no single indicator could provide on its own. The market's complexity demands an approach that goes beyond relying on just one aspect, such as price action, volume, or order flow. Integrating these diverse indicators creates a robust analytical framework that captures the market from multiple angles, leading to more accurate insights and better-informed decision-making.
Analyze Order Blocks to identify potential support/resistance and volume imbalances
Use Beluga Profile for comprehensive market structure and trend analysis
Monitor SMC indicators for potential trend reversals and breakouts
Utilize Support and Resistance Levels for precise entry/exit points and risk management
Combine insights from all tools for a multi-dimensional view of market conditions
⬤ Customization
Each component of the toolkit offers various customization options to suit different trading styles and preferences. These inputs allow traders to adjust settings to better fit their analysis needs and strategies:
Order Blocks
- Order Blocks : Set the amount of Order Blocks on the chart.
- Color Selection : Choose the color for highlighting the order blocks on your chart.
Market Structure
- Sensitivity : Adjust the sensitivity for detecting market structure breaks. Higher sensitivity will detect more granular breaks, while lower sensitivity focuses on more significant movements.
- Data : Enable or disable the display of market structure data.
- Zigzag Option : Toggle Zigzag displays from highs and lows.
S/R (Support and Resistance)
- Sensitivity : Control how sensitive the tool is in detecting support and resistance levels. Lower sensitivity will highlight fewer but stronger levels, while higher sensitivity may reveal more levels.
- Width % : Adjust the width of the support and resistance zones to visually emphasize their importance.
- Color Selection : Choose colors for both support and resistance levels for better clarity.
FVG (Fair Value Gap)
- Max : Set the maximum number of fair value gaps to display. Higher values will show more gaps, while lower values will focus on the most prominent ones.
- Color Selection : Customize the color for the fair value gap areas.
Volume Profile
- Length : Define the look-back period for the volume profile analysis. A longer length considers more historical data, while a shorter length focuses on recent data.
- Levs : Choose the number of volume levels to display, allowing for more or fewer volume bars within the profile.
- BG : Enable or disable background shading for the volume profile.
- HeatMap : Activate or deactivate the heat map overlay for volume intensity visualization.
- POC (Point of Control) : Toggle the Point of Control display and choose between different metrics, such as volume+, money flow, Delta+ and Delta-, Level % (Highesr), to base the POC on.
- Color Selection : Customize the color for the Point of Control line.
These customization options provide traders with the flexibility to tailor the toolkit to their specific trading strategies, enhancing their ability to identify key market signals with precision.
Each component of the toolkit offers various customization options to suit different trading styles and preferences.
The BigBeluga Market Core Toolkit synthesizes complex market data into clear, actionable formats, providing traders with professional-level insights. It's a comprehensive market analysis system that can give traders a significant edge in understanding market behavior and identifying high-probability trade setups. While highly effective, it's recommended to use this toolkit in conjunction with fundamental analysis and sound risk management practices for optimal trading results.
Skrip berbayar
Visible Range Volume Profile Heatmap [MyTradingCoder]The Visible Range Volume Profile Heatmap indicator offers a visually striking and insightful way to analyze trading volume within the visible price range of your chart. This tool goes beyond traditional volume profiles by displaying volume distribution as a heatmap, where color intensity represents the volume traded at each price level.
Key Features:
Dynamic Heatmap: Displays volume concentration using a color gradient, making it easy to spot areas of high and low trading activity.
Customizable Grid: Choose between auto-scaling or manual grid configuration to suit your analysis needs.
Flexible Color Schemes: Select from tri-tone or two-tone color palettes to represent bullish and bearish volume.
Point of Control (POC) Overlay: Highlights the price level with the highest trading volume, a critical reference point for traders.
Adjustable Transparency: Fine-tune the visibility of the heatmap to balance it with other chart elements.
Lookback Period: Customize the number of bars used for volume profile calculation.
How to Use the Visible Range Volume Profile Heatmap:
The Visible Range Volume Profile Heatmap is a powerful tool that can significantly enhance your market analysis when used effectively. To get the most out of this indicator, start by observing the overall pattern of the heatmap. Areas with darker colors represent higher volume concentration, indicating price levels where significant trading activity has occurred. These areas often serve as important support or resistance levels, as they represent prices where many traders have established positions.
Pay close attention to the Point of Control (POC), represented by a line running through the heatmap. This line marks the price level with the highest trading volume and often acts as a magnet for price action. Price tends to gravitate towards the POC, making it a crucial reference point for potential reversals or continuations.
When analyzing potential trades, consider how the current price relates to the volume distribution shown in the heatmap. If the price is approaching a high-volume area from below, it might face resistance; conversely, if it's approaching from above, that area might provide support. Breakouts beyond significant volume nodes can be particularly noteworthy, as they may signal a shift in market sentiment.
Use the heatmap in conjunction with your existing trading strategies. For example, if you're a trend follower, you might look for breakouts beyond major volume areas as confirmation of trend continuation. If you're a mean reversion trader, you might consider entries when price moves away from high-volume nodes, anticipating a return to these heavily traded levels.
The indicator can also help in identifying potential profit targets. As price moves away from one volume node, it often continues until it reaches the next significant volume area. These areas can serve as logical places to consider taking profits or adjusting your position.
For longer-term analysis, observe how the volume profile changes over time. Shifts in the distribution of volume can indicate evolving market dynamics. A broadening of the high-volume area might suggest increasing uncertainty, while a narrowing could indicate building consensus about price.
Settings Explained:
Auto Grid Configuration:
The "Auto Scale" option automatically adjusts the grid size based on the visible chart area. This ensures optimal visualization regardless of your chart's dimensions or zoom level.
Auto Scale Grid Size: Determines the total number of cells in the heatmap. A higher number provides more granular detail but may increase calculation time.
Auto Scale Grid Ratio: Adjusts the aspect ratio of the grid cells. A higher ratio creates wider, more rectangular cells, while a lower ratio results in more square-shaped cells. Experiment to find the best visual representation for your analysis.
Lookback Period:
The lookback setting determines how many columns (bars) of historical data the indicator uses to calculate the volume profile. A larger lookback will provide a more comprehensive view of historical volume distribution but may be slower to react to recent changes. A smaller lookback will be more responsive to recent volume patterns but may miss longer-term trends.
Manual Grid Configuration:
If you prefer more control over the grid layout, you can switch to manual configuration:
Column Width: Sets the number of price bars each column of the heatmap represents. A wider column aggregates more data, smoothing out the profile.
Number of Rows: Determines the vertical resolution of the heatmap. More rows provide finer price level detail but may make the overall pattern less distinct.
Tips for Optimization:
For short-term trading, use a smaller lookback and finer grid settings to capture recent market dynamics.
For longer-term analysis, increase the lookback and use wider columns to identify persistent volume patterns.
If the heatmap appears too blocky, increase the number of rows or decrease the column width.
If the heatmap is too granular, making patterns hard to discern, do the opposite.
Remember, the ideal settings often depend on your specific trading timeframe, the asset you're analyzing, and your personal analytical preferences. Don't hesitate to experiment with different configurations to find what works best for your trading style.
Conclusion
The Visible Range Volume Profile Heatmap is more than just an indicator—it's a versatile tool that enhances your ability to analyze and interpret market data. By transforming volume profiles into an intuitive, color-coded heatmap, this indicator allows you to quickly identify critical price levels where significant trading activity has occurred. Whether you're a day trader focused on short-term moves or a swing trader analyzing longer-term trends, the customizable settings of this tool provide the flexibility needed to adapt to various market conditions.
The ability to configure the grid layout, adjust the lookback period, and fine-tune the color and transparency settings ensures that the heatmap can be tailored to your specific trading strategy. By highlighting key areas of support and resistance, identifying potential breakouts, and pinpointing the Point of Control (POC), the heatmap gives you actionable insights that can enhance your decision-making process.
Incorporate the Visible Range Volume Profile Heatmap into your trading routine to gain a deeper understanding of market dynamics and to spot opportunities that might otherwise go unnoticed. Remember to experiment with the settings to find the configuration that best suits your analysis style, and use this powerful indicator in conjunction with your existing strategies for optimal results. With the right approach, this tool can become an indispensable part of your trading toolkit, helping you navigate the markets with greater confidence and precision.
nPOC Levels by Tyler### Explanation of the Pine Script
This Pine Script identifies and displays weekly naked Points of Control (nPOCs) on a TradingView chart. An nPOC represents a Point of Control (POC) from a previous week that has not been revisited by price action in subsequent weeks. These nPOCs are extended to the right as horizontal lines, indicating potential support or resistance levels.
#### Script Overview
1. **Indicator Declaration:**
```pinescript
//@version=5
indicator("Weekly nPOCs", overlay=true)
```
- The script is defined as a version 5 Pine Script.
- The `indicator` function sets the script's name ("Weekly nPOCs") and specifies that the indicator should be overlaid on the price chart (`overlay=true`).
2. **Function to Calculate POC:**
```pinescript
f_poc(_hl2, _vol) =>
var float vol_profile = na
if (na(vol_profile))
vol_profile := array.new_float(100, 0.0)
_bin_size = (high - low) / 100
for i = 0 to 99
if _hl2 >= low + i * _bin_size and _hl2 < low + (i + 1) * _bin_size
array.set(vol_profile, i, array.get(vol_profile, i) + _vol)
max_volume = array.max(vol_profile)
poc_index = array.indexof(vol_profile, max_volume)
poc_price = low + poc_index * _bin_size + _bin_size / 2
poc_price
```
- The function `f_poc` calculates the Point of Control (POC) for a given period.
- It takes two parameters: `_hl2` (the average of the high and low prices) and `_vol` (volume).
- A volume profile array (`vol_profile`) is initialized to store volume data across different price bins.
- The price range between the high and low is divided into 100 bins (`_bin_size`).
- The function iterates over each bin, accumulating the volumes for prices within each bin.
- The bin with the maximum volume is identified as the POC (`poc_price`).
3. **Variables to Store Weekly Data:**
```pinescript
var float poc = na
var float prev_poc = na
var line poc_lines = na
if na(poc_lines)
poc_lines := array.new_line(0)
```
- `poc` stores the current week's POC.
- `prev_poc` stores the previous week's POC.
- `poc_lines` is an array to store lines representing nPOCs. The array is initialized if it is `na` (not initialized).
4. **Calculate Weekly POC:**
```pinescript
is_new_week = ta.change(time('W')) != 0
if (is_new_week)
prev_poc := poc
poc := f_poc(hl2, volume)
if not na(prev_poc)
line new_poc_line = line.new(x1=bar_index, y1=prev_poc, x2=bar_index + 100, y2=prev_poc, color=color.red, width=2)
label.new(x=bar_index, y=prev_poc, text="nPOC", style=label.style_label_down, color=color.red, textcolor=color.white)
array.push(poc_lines, new_poc_line)
```
- `is_new_week` checks if the current bar is the start of a new week using the `ta.change(time('W'))` function.
- If it's a new week, the previous week's POC is stored in `prev_poc`, and the current week's POC is calculated using `f_poc`.
- If `prev_poc` is not `na`, a new line (`new_poc_line`) representing the nPOC is created, extending it to the right (for 100 bars).
- A label is created at the `prev_poc` level, marking it as "nPOC".
- The new line is added to the `poc_lines` array.
5. **Remove Old Lines:**
```pinescript
if array.size(poc_lines) > 52
line.delete(array.shift(poc_lines))
```
- This section ensures that only the last 52 weeks of nPOCs are kept to avoid cluttering the chart.
- If the `poc_lines` array contains more than 52 lines, the oldest line is deleted using `array.shift`.
6. **Plot the Current Week's POC as a Reference:**
```pinescript
plot(poc, title="Current Weekly POC", color=color.blue, linewidth=2, style=plot.style_line)
```
- The current week's POC is plotted as a blue line on the chart for reference.
#### Summary
This script calculates and identifies weekly Points of Control (POCs) and marks them as nPOCs if they remain untouched by subsequent price action. These nPOCs are displayed as horizontal lines extending to the right, providing traders with potential support or resistance levels. The script also manages the number of lines plotted to maintain a clear and uncluttered chart.
Multiple Naked LevelsPURPOSE OF THE INDICATOR
This indicator autogenerates and displays naked levels and gaps of multiple types collected into one simple and easy to use indicator.
VALUE PROPOSITION OF THE INDICATOR AND HOW IT IS ORIGINAL AND USEFUL
1) CONVENIENCE : The purpose of this indicator is to offer traders with one coherent and robust indicator providing useful, valuable, and often used levels - in one place.
2) CLUSTERS OF CONFLUENCES : With this indicator it is easy to identify levels and zones on the chart with multiple confluences increasing the likelihood of a potential reversal zone.
THE TYPES OF LEVELS AND GAPS INCLUDED IN THE INDICATOR
The types of levels include the following:
1) PIVOT levels (Daily/Weekly/Monthly) depicted in the chart as: dnPIV, wnPIV, mnPIV.
2) POC (Point of Control) levels (Daily/Weekly/Monthly) depicted in the chart as: dnPoC, wnPoC, mnPoC.
3) VAH/VAL STD 1 levels (Value Area High/Low with 1 std) (Daily/Weekly/Monthly) depicted in the chart as: dnVAH1/dnVAL1, wnVAH1/wnVAL1, mnVAH1/mnVAL1
4) VAH/VAL STD 2 levels (Value Area High/Low with 2 std) (Daily/Weekly/Monthly) depicted in the chart as: dnVAH2/dnVAL2, wnVAH2/wnVAL2, mnVAH1/mnVAL2
5) FAIR VALUE GAPS (Daily/Weekly/Monthly) depicted in the chart as: dnFVG, wnFVG, mnFVG.
6) CME GAPS (Daily) depicted in the chart as: dnCME.
7) EQUILIBRIUM levels (Daily/Weekly/Monthly) depicted in the chart as dnEQ, wnEQ, mnEQ.
HOW-TO ACTIVATE LEVEL TYPES AND TIMEFRAMES AND HOW-TO USE THE INDICATOR
You can simply choose which of the levels to be activated and displayed by clicking on the desired radio button in the settings menu.
You can locate the settings menu by clicking into the Object Tree window, left-click on the Multiple Naked Levels and select Settings.
You will then get a menu of different level types and timeframes. Click the checkboxes for the level types and timeframes that you want to display on the chart.
You can then go into the chart and check out which naked levels that have appeared. You can then use those levels as part of your technical analysis.
The levels displayed on the chart can serve as additional confluences or as part of your overall technical analysis and indicators.
In order to back-test the impact of the different naked levels you can also enable tapped levels to be depicted on the chart. Do this by toggling the 'Show tapped levels' checkbox.
Keep in mind however that Trading View can not shom more than 500 lines and text boxes so the indocator will not be able to give you the complete history back to the start for long duration assets.
In order to clean up the charts a little bit there are two additional settings that can be used in the Settings menu:
- Selecting the price range (%) from the current price to be included in the chart. The default is 25%. That means that all levels below or above 20% will not be displayed. You can set this level yourself from 0 up to 100%.
- Selecting the minimum gap size to include on the chart. The default is 1%. That means that all gaps/ranges below 1% in price difference will not be displayed on the chart. You can set the minimum gap size yourself.
BASIC DESCRIPTION OF THE INNER WORKINGS OF THE INDICTATOR
The way the indicator works is that it calculates and identifies all levels from the list of levels type and timeframes above. The indicator then adds this level to a list of untapped levels.
Then for each bar after, it checks if the level has been tapped. If the level has been tapped or a gap/range completely filled, this level is removed from the list so that the levels displayed in the end are only naked/untapped levels.
Below is a descrition of each of the level types and how it is caluclated (algorithm):
PIVOT
Daily, Weekly and Monthly levels in trading refer to significant price points that traders monitor within the context of a single trading day. These levels can provide insights into market behavior and help traders make informed decisions regarding entry and exit points.
Traders often use D/W/M levels to set entry and exit points for trades. For example, entering long positions near support (daily close) or selling near resistance (daily close).
Daily levels are used to set stop-loss orders. Placing stops just below the daily close for long positions or above the daily close for short positions can help manage risk.
The relationship between price movement and daily levels provides insights into market sentiment. For instance, if the price fails to break above the daily high, it may signify bearish sentiment, while a strong breakout can indicate bullish sentiment.
The way these levels are calculated in this indicator is based on finding pivots in the chart on D/W/M timeframe. The level is then set to previous D/W/M close = current D/W/M open.
In addition, when price is going up previous D/W/M open must be smaller than previous D/W/M close and current D/W/M close must be smaller than the current D/W/M open. When price is going down the opposite.
POINT OF CONTROL
The Point of Control (POC) is a key concept in volume profile analysis, which is commonly used in trading.
It represents the price level at which the highest volume of trading occurred during a specific period.
The POC is derived from the volume traded at various price levels over a defined time frame. In this indicator the timeframes are Daily, Weekly, and Montly.
It identifies the price level where the most trades took place, indicating strong interest and activity from traders at that price.
The POC often acts as a significant support or resistance level. If the price approaches the POC from above, it may act as a support level, while if approached from below, it can serve as a resistance level. Traders monitor the POC to gauge potential reversals or breakouts.
The way the POC is calculated in this indicator is by an approximation by analysing intrabars for the respective timeperiod (D/W/M), assigning the volume for each intrabar into the price-bins that the intrabar covers and finally identifying the bin with the highest aggregated volume.
The POC is the price in the middle of this bin.
The indicator uses a sample space for intrabars on the Daily timeframe of 15 minutes, 35 minutes for the Weekly timeframe, and 140 minutes for the Monthly timeframe.
The indicator has predefined the size of the bins to 0.2% of the price at the range low. That implies that the precision of the calulated POC og VAH/VAL is within 0.2%.
This reduction of precision is a tradeoff for performance and speed of the indicator.
This also implies that the bigger the difference from range high prices to range low prices the more bins the algorithm will iterate over. This is typically the case when calculating the monthly volume profile levels and especially high volatility assets such as alt coins.
Sometimes the number of iterations becomes too big for Trading View to handle. In these cases the bin size will be increased even more to reduce the number of iterations.
In such cases the bin size might increase by a factor of 2-3 decreasing the accuracy of the Volume Profile levels.
Anyway, since these Volume Profile levels are approximations and since precision is traded for performance the user should consider the Volume profile levels(POC, VAH, VAL) as zones rather than pin point accurate levels.
VALUE AREA HIGH/LOW STD1/STD2
The Value Area High (VAH) and Value Area Low (VAL) are important concepts in volume profile analysis, helping traders understand price levels where the majority of trading activity occurs for a given period.
The Value Area High/Low is the upper/lower boundary of the value area, representing the highest price level at which a certain percentage of the total trading volume occurred within a specified period.
The VAH/VAL indicates the price point above/below which the majority of trading activity is considered less valuable. It can serve as a potential resistance/support level, as prices above/below this level may experience selling/buying pressure from traders who view the price as overvalued/undervalued
In this indicator the timeframes are Daily, Weekly, and Monthly. This indicator provides two boundaries that can be selected in the menu.
The first boundary is 70% of the total volume (=1 standard deviation from mean). The second boundary is 95% of the total volume (=2 standard deviation from mean).
The way VAH/VAL is calculated is based on the same algorithm as for the POC.
However instead of identifying the bin with the highest volume, we start from range low and sum up the volume for each bin until the aggregated volume = 30%/70% for VAL1/VAH1 and aggregated volume = 5%/95% for VAL2/VAH2.
Then we simply set the VAL/VAH equal to the low of the respective bin.
FAIR VALUE GAPS
Fair Value Gaps (FVG) is a concept primarily used in technical analysis and price action trading, particularly within the context of futures and forex markets. They refer to areas on a price chart where there is a noticeable lack of trading activity, often highlighted by a significant price movement away from a previous level without trading occurring in between.
FVGs represent price levels where the market has moved significantly without any meaningful trading occurring. This can be seen as a "gap" on the price chart, where the price jumps from one level to another, often due to a rapid market reaction to news, events, or other factors.
These gaps typically appear when prices rise or fall quickly, creating a space on the chart where no transactions have taken place. For example, if a stock opens sharply higher and there are no trades at the prices in between the two levels, it creates a gap. The areas within these gaps can be areas of liquidity that the market may return to “fill” later on.
FVGs highlight inefficiencies in pricing and can indicate areas where the market may correct itself. When the market moves rapidly, it may leave behind price levels that traders eventually revisit to establish fair value.
Traders often watch for these gaps as potential reversal or continuation points. Many traders believe that price will eventually “fill” the gap, meaning it will return to those price levels, providing potential entry or exit points.
This indicator calculate FVGs on three different timeframes, Daily, Weekly and Montly.
In this indicator the FVGs are identified by looking for a three-candle pattern on a chart, signalling a discrete imbalance in order volume that prompts a quick price adjustment. These gaps reflect moments where the market sentiment strongly leans towards buying or selling yet lacks the opposite orders to maintain price stability.
The indicator sets the gap to the difference from the high of the first bar to the low of the third bar when price is moving up or from the low of the first bar to the high of the third bar when price is moving down.
CME GAPS (BTC only)
CME gaps refer to price discrepancies that can occur in charts for futures contracts traded on the Chicago Mercantile Exchange (CME). These gaps typically arise from the fact that many futures markets, including those on the CME, operate nearly 24 hours a day but may have significant price movements during periods when the market is closed.
CME gaps occur when there is a difference between the closing price of a futures contract on one trading day and the opening price on the following trading day. This difference can create a "gap" on the price chart.
Opening Gaps: These usually happen when the market opens significantly higher or lower than the previous day's close, often influenced by news, economic data releases, or other market events occurring during non-trading hours.
Gaps can result from reactions to major announcements or developments, such as earnings reports, geopolitical events, or changes in economic indicators, leading to rapid price movements.
The importance of CME Gaps in Trading is the potential for Filling Gaps: Many traders believe that prices often "fill" gaps, meaning that prices may return to the gap area to establish fair value.
This can create potential trading opportunities based on the expectation of gap filling. Gaps can act as significant support or resistance levels. Traders monitor these levels to identify potential reversal points in price action.
The way the gap is identified in this indicator is by checking if current open is higher than previous bar close when price is moving up or if current open is lower than previous day close when price is moving down.
EQUILIBRIUM
Equilibrium in finance and trading refers to a state where supply and demand in a market balance each other, resulting in stable prices. It is a key concept in various economic and trading contexts. Here’s a concise description:
Market Equilibrium occurs when the quantity of a good or service supplied equals the quantity demanded at a specific price level. At this point, there is no inherent pressure for the price to change, as buyers and sellers are in agreement.
Equilibrium Price is the price at which the market is in equilibrium. It reflects the point where the supply curve intersects the demand curve on a graph. At the equilibrium price, the market clears, meaning there are no surplus goods or shortages.
In this indicator the equilibrium level is calculated simply by finding the midpoint of the Daily, Weekly, and Montly candles respectively.
NOTES
1) Performance. The algorithms are quite resource intensive and the time it takes the indicator to calculate all the levels could be 5 seconds or more, depending on the number of bars in the chart and especially if Montly Volume Profile levels are selected (POC, VAH or VAL).
2) Levels displayed vs the selected chart timeframe. On a timeframe smaller than the daily TF - both Daily, Weekly, and Monthly levels will be displayed. On a timeframe bigger than the daily TF but smaller than the weekly TF - the Weekly and Monthly levels will be display but not the Daily levels. On a timeframe bigger than the weekly TF but smaller than the monthly TF - only the Monthly levels will be displayed. Not Daily and Weekly.
CREDITS
The core algorithm for calculating the POC levels is based on the indicator "Naked Intrabar POC" developed by rumpypumpydumpy (https:www.tradingview.com/u/rumpypumpydumpy/).
The "Naked intrabar POC" indicator calculates the POC on the current chart timeframe.
This indicator (Multiple Naked Levels) adds two new features:
1) It calculates the POC on three specific timeframes, the Daily, Weekly, and Monthly timeframes - not only the current chart timeframe.
2) It adds functionaly by calculating the VAL and VAH of the volume profile on the Daily, Weekly, Monthly timeframes .
MONEY ZONEA volume profile is an advanced charting tool that displays the traded volume at different price levels over a specific period. It helps you visualize where the majority of trading activity has occurred.
This indicator is a Market Profiling tool used to analyse the Point of Control (POC) and Value Area (VAH/VAL) on the daily, weekly and monthly timeframes. It also optionally displays historical Value Areas to help find confluence with past data.
The Point of Control describes the price level where the most volume was traded. A Naked Point of Control (also called a Virgin Point of Control) is a previous POC that has not been traded.
The Value Area is a range of prices where the majority of trading volume took place on the prior trading day. In specific, this area is the range where 70% of the prior day’s volume happened. The value area is approximately one standard deviation above and below the average highest volume price. With this knowledge, there are specific probabilities of market behavior we can understand to digest the value area. The value area gives us an idea of where the smart money is playing ball and where the institutions are guiding the market. From this data, we can derive intra-day strategies that capitalize on market behavior.
🔹 Point of Control (PoC)
Point of Control (POC) – The price level for the time period with the highest traded volume
🔹 Value Area (VA)
Value Area (VA) – The range of price levels in which the specified percentage of all volume was traded during the time period.
Alpha Cloud Algo 2.0 Bybit SpecialAlpha Cloud Algo 2.0 Bybit Special Version
Sürüm Notları:
I'm excited to introduce 'Alpha Cloud Algo Version 2' to you! This advanced technical analysis indicator helps you evaluate market trends and potential trading signals. Here are the current features of Alpha Cloud Algo:
1️⃣ 📈 Technical Indicators: The Technical Indicators table in version 1.3 of the indicator has been completely rewritten and enhanced. We have integrated several indicators such as Trend indicator with my custom Ichimoku settings, PDPOC (Previous Day's Point Of Control), PWPOC (Previous Week's Point of Control), RSI, Stoch, MACD, VWAP, and Volume Bars. With this update, you can visualize market trends and trading signals more effectively.
2️⃣ ⏰ Multi-Timeframe Support: With Alpha Cloud Algo V.II, we offer the ability to use support and resistance levels of the Clouds across multiple timeframes. This feature allows for more comprehensive analysis and helps you make accurate decisions.
3️⃣ 💭 SR Channels: The SR Channels indicator, used to determine support and resistance levels, has been integrated into Alpha Cloud Algo 2. This special indicator analyzes price movements, identifies important levels, and displays them in the form of channels on the chart. You can view support and resistance levels from any timeframe on the chart and also in tabular form.
4️⃣ ☁️ Trend Cloud Indicator: Alpha Cloud Algo 2 utilizes trend clouds to determine the direction and strength of the trend. It provides multiple layers of trend clouds, each representing a different timeframe. With this customized indicator, you can understand trends more clearly and analyze price movements effectively.
5️⃣ ➿ Auto Fibonacci: The latest feature of Alpha Cloud Algo includes automatic Fibonacci drawing. The indicator automatically plots potential support and resistance levels using specific ratios (such as 0, 0.382, 0.618, 0.886, and 1). You can adjust these ratios as desired.
Alpha Cloud Algo combines the power of technical analysis tools to help you better assess opportunities in the market. You can use Alpha Cloud Algo to enhance your trading strategies and make more informed decisions.
Using Alpha Cloud Algo is also very user-friendly. You can analyze using technical indicators, multi-timeframe support, SR channels, and automatic Fibonacci drawing to identify trends and evaluate trading signals. This provides you with a better trading experience and can increase your profitability.
To use Alpha Cloud Algo, you need to create an account on Tradingview and complete the Alpha Cloud Algo membership process. This way, you have the freedom to trade on any device, anytime, and anywhere.
Alpha Cloud Algo performs analyses using up-to-date and accurate market data, and presents you with the latest trading opportunities. Its user-friendly interface enables you to perform quick and easy analyses as desired.
Take technical analysis to the next level with Alpha Cloud Algo and make more successful trading decisions.
Turkish Translate ;
‘Alpha Cloud Algo Versiyon 2’yi size tanıtmaktan mutluluk duyuyorum! Bu gelişmiş teknik analiz indikatörü, piyasa trendlerini ve olası ticaret sinyallerini değerlendirmenize yardımcı olur. İşte Alpha Cloud Algo'nun güncel özellikleri:
1️⃣ 📈 Teknik Göstergeler: İndikatörün 1.3 versiyonundaki Teknik Göstergeler tablosu tamamen yeniden yazıldı ve geliştirildi. Benim özel Ichimoku ayarlarımda Trend göstergesini, PDPOC (Bir önceki günün Point Of Control bölgesi), PWPOC (Bir önceki haftanın Point of Control Bölgesi), RSI, Stoch, MACD, VWAP ve Volume Barları gibi birçok göstergeyi entegre ettik. Bu güncelleme sayesinde piyasa trendlerini ve ticaret sinyallerini daha iyi görselleştirebilirsiniz.
2️⃣ ⏰ Çoklu Zaman Dilimi Desteği: Alpha Cloud Algo V.II ile birlikte, Bulutların destek ve direnç seviyelerini birden çok zaman diliminde kullanabilme imkanı sunuyoruz. Bu özellik sayesinde daha kapsamlı bir analiz yapabilir ve doğru kararlar alabilirsiniz.
3️⃣ 💭 SR Kanalları: Destek ve direnç seviyelerini belirlemek için kullanılan SR Kanalları indikatörü, Alpha Cloud Algo 2 ile entegre hale getirildi. Bu özel gösterge, fiyat hareketlerini analiz ederek önemli seviyeleri tespit eder ve bunları kanallar halinde gösterir. Çoklu zaman diliminde baktığınız grafiğe istediğiniz zaman dilimindeki destek ve direnç seviyelerini hem grafik üzerinde görüntüleyebilir hem de tablo şeklinde görebilirsiniz.
4️⃣ ☁️ Trend Bulutu Göstergesi: Alpha Cloud Algo 2, trendin yönünü ve gücünü belirlemek için trend bulutlarını kullanır. Birden fazla trend bulutu katmanı sunar ve her katman farklı bir zaman dilimini temsil eder. Bu özelleştirilmiş gösterge sayesinde trendi daha net bir şekilde anlayabilir ve fiyat hareketlerini analiz edebilirsiniz.
5️⃣ ➿ Otomatik Fibonacci: Alpha Cloud Algo'nun en yeni özelliği, otomatik Fibonacci çizimini içerir. İndikatör, belirli oranları (0, 0.382, 0.618, 0.886 ve 1 gibi) kullanarak potansiyel destek ve direnç seviyelerini otomatik olarak çizer. Bu oranları isteğe bağlı olarak ayarlayabilirsiniz.
Alpha Cloud Algo, teknik analiz araçlarının gücünü bir araya getirerek, piyasadaki fırsatları daha iyi değerlendirmenizi sağlar. Ticaret stratejilerinizi geliştirmek ve kararlarınızı daha bilinçli bir şekilde vermek için Alpha Cloud Algo'yu kullanabilirsiniz.
Alpha Cloud Algo'nun kullanımı da oldukça kolaydır. Teknik göstergeleri, çoklu zaman dilimi desteğini, SR kanallarını ve otomatik Fibonacci çizimini kullanarak analiz yapabilir, trendleri belirleyebilir ve ticaret sinyallerini değerlendirebilirsiniz. Bu da size daha iyi bir ticaret deneyimi sunar ve karlılığınızı artırabilir.
Alpha Cloud Algo'yu kullanmak için Tradingview'da bir hesap oluşturmanız ve Alpha Cloud Algo üyelik işlemini tamamlamanız gerekmektedir. Böylece herhangi bir cihazda, istediğiniz zaman ve herhangi bir yerde ticaret yapabilme özgürlüğüne sahip olursunuz.
Alpha Cloud Algo, güncel ve doğru piyasa verilerini kullanarak analizler yapar ve size en güncel ticaret fırsatlarını sunar. Ayrıca, kullanıcı dostu arayüzü sayesinde hızlı ve kolay bir şekilde istediğiniz analizi yapmanızı sağlar.
Alpha Cloud Algo ile teknik analizi bir adım öteye taşıyın ve daha başarılı ticaret kararları alın.
Price & Volume Profile (Expo)█ Overview
The Price & Volume Profile provides a holistic perspective on market dynamics by simultaneously tracking price action and trading volume across a range of price levels. So it is not only a volume-based indicator but also a price-based one. In addition to illustrating volume distribution, it quantifies how frequently the price has fallen within a particular range, thus offering a holistic perspective on market dynamics.
This unique and comprehensive approach to market analysis by considering both price action and trading volume, two crucial dimensions of market activity. Its distinctive methodology offers several advantages:
Holistic Market View: By simultaneously tracking the frequency of specific price ranges (Price Profile) and the volume traded at those ranges (Volume Profile), this indicator provides a more complete picture of market behavior. It shows not only where the market is trading but also how much it's trading, reflecting both price acceptance levels and market participation intensity.
Point of Control (POC): The POC, as highlighted by this indicator, serves as a significant reference point for traders. It identifies the price level with the highest trading activity, thus indicating a strong consensus among market participants about the asset's fair value. Observing how price interacts with the POC can offer valuable insights into market sentiment and potential trend reversals.
Support and Resistance Levels: Price levels with high trading activity often act as support or resistance in future price movements. The indicator visually represents these levels, enabling traders to anticipate potential price reactions.
Price Profile
Price and Volume Profile
█ Calculations
The algorithm analyzes both trade frequency and volume across different price levels. It identifies these levels within the visible chart range, then examines each bar to determine if the selected price falls within these levels. If so, it increases a counter and adds the trading volume. This process repeats across the visible range and is visualized as a horizontal histogram, each bar representing a price level and the bar length reflecting trade frequency and volume. Additionally, it calculates the Point of Control (POC), signifying the price level with the highest activity.
In summary: The histogram presents a dual perspective - not only the traded volume at each price level but also the frequency of the price hitting each range. The longer the bar, the more times the price has frequented that specific range, revealing key insights into price behavior and acceptance levels. These frequently visited areas often emerge as strong support or resistance zones, helping traders navigate market movements.
Please note that the indicator adjusts to the visible price range, making it adaptable to changing market conditions. This dynamic analysis can provide more relevant and timely information than static indicators.
█ How to use
This indicator is beneficial for traders as it offers insights into the distribution of trading activity across different price levels. It helps identify key areas of support and resistance and gives a visual representation of market sentiment and liquidity.
The point of control (POC) , which is the price level with the highest traded volume or frequency count, becomes even more crucial in this context. It marks the price at which the most trading activity occurred, signaling a strong consensus among market participants about the asset's fair value. If the market price deviates significantly from the POC, it could suggest an overbought or oversold condition, potentially leading to a price reversion.
Fair Price Areas/gaps are specific price levels or zones where an asset has spent limited time in the past. These areas are considered interesting or significant because they may have an impact on future price action.
Similar to the concept of fair value gaps, which refers to discrepancies between an asset's market price and its estimated intrinsic value, Fair Price Areas/gaps focus on price levels that have been relatively underutilized in terms of trading activity. When an asset's price reaches a Fair Price Area/gap, traders and investors pay attention because they expect the price to react in some way. The rationale behind this concept is that price tends to gravitate towards areas where it has spent less time in the past, as the market perceives them as significant levels.
█ Settings
The indicator is customizable, allowing users to define the number of price levels (rows), the offset, the data source, and whether to display volume or frequency count. It also adjusts dynamically to the visible price range on the chart, ensuring that the analysis remains relevant and timely with changing market conditions.
Source: The price to use for the calculation. Typically, this is the closing price. By considering the user-selected Source (typically the closing price), the indicator determines the frequency with which the price lands within each designated price level (row) over the selected period. In essence, the indicator provides a count of bars where the Source price falls within each range, essentially creating a "Price Profile."
Row Size: The number of price levels (rows) to divide the visible price range into.
Display: Choose whether to display the number of bars ("Counter") or the total volume ("Volume") for each price level.
Offset: The distance of the histogram from the price chart.
Point of Control (POC): If enabled, the indicator will highlight the price level with the most activity.
-----------------
Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
Spoofing Detector with VPOC [CHE]"We're keeping an eye on the market makers, zooming in for a closer look."
Spoofing and Volume Point of Control (VPOC) are terms used in the context of market manipulation and market analysis in financial markets.
A spoofing detector is a tool developed to detect the spoofing of orders. Spoofing refers to a practice where a market participant places large orders to deceive other market participants and influence the price of a stock. These large orders, however, are not executed but cancelled shortly after, creating a false demand for a specific stock and influencing the price. A spoofing detector can use algorithms to detect and report these practices to maintain the integrity of the market.
The Volume Point of Control (VPOC) is a concept in technical analysis aimed at identifying the key price level at which a stock was bought and sold. VPOC is calculated by analyzing the volume data of a stock and determining the price level at which the largest volume was traded for a specific period. This price level can serve as an indicator of the current market trend and market interest in a specific stock.
There is a substantive connection between a spoofing detector and VPOC because both tools can be used to gain a better understanding of the stock markets and detect potential forms of market manipulation. For example, VPOC can be used as an indicator of potential market manipulation when an abnormal distribution of trading volume is observed at a specific price level. A spoofing detector can then be used to detect and report these activities.
Pine Script Indicator Analysis:
This is a Pine Script code for a spoofing detector and volume point of control (VPOC) indicator. The purpose of the indicator is to detect and highlight potential spoofing activities in the market, as well as to plot the volume point of control on the chart.
Inputs:
Median Lookback: This input defines the length of the median calculation, with a default value of 25.
Range To Edges Threshold: This input sets a threshold value for the range to edges calculation, with a default value of 200.
Multiplier 1: This input sets a multiplier value to be used in the average true range calculation, with a default value of 0.8.
Multipler 2: This input sets a multiplier value to be used in the average true range calculation, with a default value of 2.0.
Multipler 3: This input sets a multiplier value to be used in the average true range calculation, with a default value of 3.0.
Variables:
y, x, ds, os: These are arrays and a variable used for the first part of the spoofing detection process.
y1, x1, ds1, os1: These are arrays and a variable used for the second part of the spoofing detection process.
y2, x2, ds2, os2: These are arrays and a variable used for the third part of the spoofing detection process.
Calculation:
The code starts by defining some variables, such as the bar index (n), the close price (src), and the average true range (atr) with different multipliers.
Next, the median of the close price is calculated over the lookback period specified by the "Median Lookback" input.
Then, the difference between the current median and the previous median is calculated, and the value is compared with the average true range with different multipliers to determine the state of the market (up, down, or unchanged).
The code then checks if the state has changed from the previous bar, and if so, the code performs a spoofing detection calculation.
The spoofing detection calculation involves determining the range between the first and last bar in the median calculation, and dividing it by the sum of the absolute differences calculated earlier. If the result is below the "Range To Edges Threshold" input, the code plots a line and a label on the chart indicating a potential spoofing activity.
The process is repeated for each of the three parts of the spoofing detection process.
VPOC:
The VPOC code is used to calculate the Volume Point of Control (VPOC) on a chart. The VPOC is the price level with the highest volume over a specified lookback period. The script contains several functions and inputs that allow the user to customize the calculation.
Inputs:
i_source: This input allows the user to specify the source for the VPOC price calculation. The options are the close price of the bar.
i_vpocThreshold: This input allows the user to set the threshold percentage for the VPOC highlight.
Functions:
timeStep_translate(): This function returns a string representing the time step of the lower time frame based on the current time frame of the chart.
ltfStats(): This function returns an array of the source and volume of the lower time frame.
ltfSrc, ltfVolume: This line requests the lower time frame data using the request.security_lower_tf function, with the lower time frame step calculated by the timeStep_translate() function.
maxVolume and indexOfMaxVolume: These variables store the maximum volume value and its corresponding index in the ltfVolume array.
maxVol: This variable stores the source value corresponding to the maximum volume.
vpocThresholdMet: This variable is a boolean that is true when the volume at the maximum volume price level is greater than or equal to the threshold percentage of the total volume.
vpocColor: This variable stores the color for the VPOC plot.
vh: This variable stores the highest volume in the lookback period.
plotshape(): This function plots the VPOC on the chart. The shape will be plotted only if the volume is greater than the specified threshold percentage of the highest volume in the lookback period. The shape will be labeled with the text "VC".
Overall, this script calculates the VPOC for a chart by aggregating volume data from a lower time frame and plotting a shape at the price level with the highest volume. The user can specify the source for the VPOC calculation and the threshold percentage for the VPOC highlight.
Important: VPOC shows everything in real time as a leading indicator, the triple spoofing detector is trailing
Best regards
Chervolino
Chart Champions - Part 3 - SessionsThank you for sparing you time to read my indicator.
This indicator has been created as a suite of 3. This was to ensure that those with only the Free Trading View account could benefit (with their restriction to 3 indicators). Please ensure you install each indicator and read each indicator write up to fully understand what has tried to achieved.
Chart Champions – Part 1 –Lvls nPOC VWAPS
This indicator is broken down into:
• Levels
• VWAPS
• Naked Point of Control
Levels
It displays the levels to the right of the price Axis to enable the user to have a cleaner chart.
The below levels will automatically appear:
dOpen – pdHigh – pdLow – pdEQ – pwEQ
Optional Levels include:
mOpen – pmOpen – pdOpen – dbyOpen – wOpen – pwOpen
VWAPs
Optional VWAPs
Daily (including pdVWAP close) – Weekly – Monthly
Naked Points of Control (nPOC)
To view the nPOC move the chart back in time to pick up the nPOCs.
Chart Champions – Part 2 – CCV IBs POC
This indicator is broken down into:
• Chart Champions Value
• Initial Balance
• Points of Control
Chart Champions Value (CCV)
CCV is based on the 80% rule of the dOpen opening outside of the pdVAH/pdVAL. Please do you own research to fully understand how this trading strategy works (readily avaliable online).
Initial Balance (IB)
IB is based on the first 60 minutes of the market opening. It captures the highest and lowest points within that 60 minutes. Please do you own research to fully understand how this trading strategy works (readily avaliable online).
Points of Control (POCs)
POC are the price levels where the most volume was traded.
Developing POC (dPOC) will constantly move with volume/price action through out the day.
Optional POCs
Previous Day POC (pdPOC) – Day Before Yesterday POC (dbyPOC)
Chart Champions – Part 3 – Sessions - Manual Input
This indicator is broken down into:
• Manual Inputs (daily, weekly, monthly)
• IGOR SessionsTtimes
• Pre + Market Openings
Manual Input
Daily x3
Weekly x 3
Monthly x 3
This allows the trader to put in specific levels.
IGOR Session Times
This is a user specific requirement to highlight cetain times during the day, displayed at the bottom of the chart in the colour strip.
Pre + Market Openings
This allows the user to see when pre market trading has started and with the live maket has started, displayed at the top of the chart in colours.
A huge thank you goes out to:
Stackoverflow users AnyDozer and Bjorn.
TV user ahancock for allow me use of this code.
Disclaimer the lower the timeframe the more information it processes.
Chart Champions - Part 2 - CCV IBs POCsThank you for sparing you time to read my indicator.
This indicator has been created as a suite of 3. This was to ensure that those with only the Free Trading View account could benefit (with their restriction to 3 indicators). Please ensure you install each indicator and read each indicator write up to fully understand what has tried to achieved.
Chart Champions – Part 1 –Lvls nPOC VWAPS
This indicator is broken down into:
• Levels
• VWAPS
• Naked Point of Control
Levels
It displays the levels to the right of the price Axis to enable the user to have a cleaner chart.
The below levels will automatically appear:
dOpen – pdHigh – pdLow – pdEQ – pwEQ
Optional Levels include:
mOpen – pmOpen – pdOpen – dbyOpen – wOpen – pwOpen
VWAPs
Optional VWAPs
Daily (including pdVWAP close) – Weekly – Monthly
Naked Points of Control (nPOC)
To view the nPOC move the chart back in time to pick up the nPOCs.
Chart Champions – Part 2 – CCV IBs POC
This indicator is broken down into:
• Chart Champions Value
• Initial Balance
• Points of Control
Chart Champions Value (CCV)
CCV is based on the 80% rule of the dOpen opening outside of the pdVAH/pdVAL. Please do you own research to fully understand how this trading strategy works (readily avaliable online).
Initial Balance (IB)
IB is based on the first 60 minutes of the market opening. It captures the highest and lowest points within that 60 minutes. Please do you own research to fully understand how this trading strategy works (readily avaliable online).
Points of Control (POCs)
POC are the price levels where the most volume was traded.
Developing POC (dPOC) will constantly move with volume/price action through out the day.
Optional POCs
Previous Day POC (pdPOC) – Day Before Yesterday POC (dbyPOC)
Chart Champions – Part 3 – Sessions - Manual Input
This indicator is broken down into:
• Manual Inputs (daily, weekly, monthly)
• IGOR SessionsTtimes
• Pre + Market Openings
Manual Input
Daily x3
Weekly x 3
Monthly x 3
This allows the trader to put in specific levels.
IGOR Session Times
This is a user specific requirement to highlight cetain times during the day, displayed at the bottom of the chart in the colour strip.
Pre + Market Openings
This allows the user to see when pre market trading has started and with the live maket has started, displayed at the top of the chart in colours.
A huge thank you goes out to:
Stackoverflow users AnyDozer and Bjorn.
TV user ahancock for allow me use of this code.
Disclaimer the lower the timeframe the more information it processes.
Chart Champions - Part 1 - nPOC - Levels - VWAPsThank you for sparing you time to read my indicator.
This indicator has been created as a suite of 3. This was to ensure that those with only the Free Trading View account could benefit (with their restriction to 3 indicators). Please ensure you install each indicator and read each indicator write up to fully understand what has tried to achieved.
Chart Champions – Part 1 –Lvls nPOC VWAPS
This indicator is broken down into:
• Levels
• VWAPS
• Naked Point of Control
Levels
It displays the levels to the right of the price Axis to enable the user to have a cleaner chart.
The below levels will automatically appear:
dOpen – pdHigh – pdLow – pdEQ – pwEQ
Optional Levels include:
mOpen – pmOpen – pdOpen – dbyOpen – wOpen – pwOpen
VWAPs
Optional VWAPs
Daily (including pdVWAP close) – Weekly – Monthly
Naked Points of Control (nPOC)
To view the nPOC move the chart back in time to pick up the nPOCs.
Chart Champions – Part 2 – CCV IBs POC
This indicator is broken down into:
• Chart Champions Value
• Initial Balance
• Points of Control
Chart Champions Value (CCV)
CCV is based on the 80% rule of the dOpen opening outside of the pdVAH/pdVAL. Please do you own research to fully understand how this trading strategy works (readily avaliable online).
Initial Balance (IB)
IB is based on the first 60 minutes of the market opening. It captures the highest and lowest points within that 60 minutes. Please do you own research to fully understand how this trading strategy works (readily avaliable online).
Points of Control (POCs)
POC are the price levels where the most volume was traded.
Developing POC (dPOC) will constantly move with volume/price action through out the day.
Optional POCs
Previous Day POC (pdPOC) – Day Before Yesterday POC (dbyPOC)
Chart Champions – Part 3 – Sessions - Manual Input
This indicator is broken down into:
• Manual Inputs (daily, weekly, monthly)
• IGOR SessionsTtimes
• Pre + Market Openings
Manual Input
Daily x3
Weekly x 3
Monthly x 3
This allows the trader to put in specific levels.
IGOR Session Times
This is a user specific requirement to highlight cetain times during the day, displayed at the bottom of the chart in the colour strip.
Pre + Market Openings
This allows the user to see when pre market trading has started and with the live maket has started, displayed at the top of the chart in colours.
A huge thank you goes out to:
Stackoverflow users AnyDozer and Bjorn.
TV user ahancock for allow me use of this code.
Disclaimer the lower the timeframe the more information it processes.
Trading Ideas - Chart Champions Value - Points of Interest Trading Ideas is based on having visual Points of Interest.
The indicator displays:
- dOpen : Daily Open
- dPOC: Developing Point of Control
- pdPOC : Previous Day Point of Control
- dbyPOC : Day Before Yesterday Point of Control
Initial Balance (High, low, mid points for the first hour (UTC 0000)
- IB High : Initial Balance High
- IB Mid : Initial Balance Middle
- IB Low : Initial Balance Low
Chart Champions Value ( CCV ) is based on Daniel - Chart Champions theory explained in his educational videos.
That if the previous day is a range day and price action (PA) closes:
Above the previous days Value Area High (pdVAH) then there is an 80% chance of it retracing back to previous days Value Area Low (pdVAL)
Below the previous days Value Area Low (pdVAL) then there is an 80% chance of it going back up to the previous days Value Area High (pdVAH)
The CCV check can be ticked on and off for a quick visual to see if the setup could potentially be in play (if green then CCV could be play for that day).
Settings/Configuration
The calculated Value Area (VA) can be amended.
It is recommend to change the resolution to that of your symbol. For example BTC resolution 1, XRP resolution 0.00001.
As seen below having key Points of Interest can make you think twice before going into a trade:
My thanks go to:
ahancock for allowing usage of his script.
AnyDozer and Bjorn Mistiaen on Stack Overflow for all their assistance.
Any feedback will be gratefully received.
Price Volume Heatmap [MHA Finverse]Price Volume Heatmap - Advanced Volume Profile Analysis
Unlock the power of institutional-level volume analysis with the Price Volume Heatmap indicator. This sophisticated tool visualizes market structure through volume distribution across price levels, helping you identify key support/resistance zones, high-probability reversal areas, and optimal entry/exit points.
🎯 What Makes This Indicator Unique?
Unlike traditional volume indicators that only show volume over time, this heatmap displays volume distribution across price levels , revealing where the most significant trading activity occurred. The gradient coloring system instantly highlights high-volume nodes (areas of strong interest) and low-volume nodes (potential breakout zones).
📊 Core Features
1. Dynamic Volume Heatmap
- Visualizes volume concentration across 250 customizable price levels
- Gradient color scheme from high volume (white) to low volume (teal/green)
- Adjustable brightness multiplier for enhanced contrast and clarity
- Real-time updates as market conditions evolve
2. Point of Control (POC)
- Automatically identifies the price level with the highest traded volume
- Acts as a magnetic price level where markets often return
- Critical for identifying fair value areas and potential reversal zones
- Customizable line style, width, and color
3. Flexible Lookback Settings
- Lookback Bars: Set any value from 1-5000 bars to control analysis depth
- Visible Range Mode: Analyze only what's currently visible on your chart
- Timeframe-Specific Settings: Different lookback periods for 1m, 5m, 15m, 30m, 1h, Daily, and Weekly charts
- Adapts to your trading style - scalping to position trading
4. Session Separation Analysis
- Tokyo Session: 00:00-09:00 UTC
- London Session: 07:00-16:00 UTC
- New York Session: 13:00-22:00 UTC
- Sydney Session: 21:00-06:00 UTC
- Daily Reset: Analyze each trading day independently
Session separation allows you to understand volume distribution specific to each major trading session, revealing institutional order flow patterns and session-specific support/resistance levels.
5. Profile Width Options
- Dynamic: Profile width adjusts based on lookback period
- Fixed Bars: Set a specific bar count for consistent profile width
- Extend Forward: Project the profile into future bars for planning trades
6. Smart Alerts
- POC crossover/crossunder alerts
- New session start notifications
- Never miss critical price action at high-volume nodes
📈 How to Use This Indicator Professionally
Understanding Market Structure:
High Volume Nodes (HVN):
- Appear as bright/white areas in the heatmap
- Represent price levels where significant trading occurred
- Act as strong support/resistance zones
- Markets often consolidate or bounce from these levels
- Trading Strategy: Look for entries when price tests HVN areas with confluence from other indicators
Low Volume Nodes (LVN):
- Appear as darker/teal areas in the heatmap
- Represent price levels with minimal trading activity
- Price tends to move quickly through these areas
- Often form "gaps" in the volume profile
- Trading Strategy: Expect rapid price movement through LVN zones; avoid placing stop losses here
Point of Control (POC):
- The single most important price level in your analysis window
- Represents the fairest price where maximum volume traded
- Price gravitates toward POC like a magnet
- Trading Strategy:
* When price is above POC: bullish bias, POC acts as support
* When price is below POC: bearish bias, POC acts as resistance
* POC breaks often lead to significant trend changes
Session-Based Analysis:
Use session separation to understand how different market participants trade:
Asian Session (Tokyo/Sydney):
- Typically lower volatility and range-bound
- Volume profiles often show tight, balanced distribution
- Use for identifying overnight ranges and gap fill zones
London Session:
- Highest volume session for forex pairs
- Often shows strong directional bias
- Look for breakouts from Asian ranges during London open
New York Session:
- Maximum participation when overlapping with London
- Institutional order flow most visible
- POC during NY session often becomes key level for following sessions
🎯 Practical Trading Applications
1. Identifying Support & Resistance:
High volume nodes from the heatmap are far more reliable than traditional swing highs/lows. When price approaches an HVN, expect reaction - either a bounce or a significant breakout if breached.
2. Trend Confirmation:
- Healthy uptrend: POC rising over time, HVN forming at higher levels
- Healthy downtrend: POC falling over time, HVN forming at lower levels
- Consolidation: POC relatively flat, volume balanced across range
3. Breakout Trading:
When price breaks through a Low Volume Node with momentum, it often continues to the next High Volume Node. Use LVN areas as measured move targets.
4. Reversal Zones:
Multiple HVN stacking on top of each other creates a "volume shelf" - an extremely strong support/resistance zone where reversals are highly probable.
5. Risk Management:
- Place stops beyond HVN areas (not within LVN zones)
- Size positions based on distance to nearest HVN
- Use POC as trailing stop level in trending markets
⚙️ Recommended Settings
For Day Trading (Scalping/Intraday):
- Lookback: 200-500 bars
- Rows: 200-250
- Enable session separation for your primary trading session
- Profile Width: Dynamic or Fixed Bars (30-50)
For Swing Trading:
- Lookback: 500-1000 bars
- Rows: 250
- Session separation: Daily Reset
- Profile Width: Dynamic
For Position Trading:
- Lookback: 1000-3000 bars
- Rows: 250
- Use timeframe-specific settings
- Profile Width: Extend Forward (20-50 bars)
💡 Pro Tips
1. Combine this indicator with price action analysis - volume confirms what price is telling you
2. Watch for POC convergence with other technical levels (fibonacci, pivot points, moving averages)
3. Volume at extremes (tops/bottoms of heatmap) often indicates exhaustion
4. Session POC from previous sessions often acts as magnet for current session
5. Increase brightness multiplier (1.5-2.5) for clearer visualization on busy charts
6. Use "Number of Sessions to Display" to analyze consistency of volume levels across multiple sessions
🎨 Customization
Fully customizable visual appearance:
- Gradient colors for volume visualization
- POC line thickness, color, and style
- Session line colors and visibility
- All settings organized in intuitive groups
⚠️ Disclaimer
This indicator is a technical analysis tool and should not be used as the sole basis for trading decisions. Always combine volume analysis with proper risk management, fundamental analysis, and other technical indicators. Past performance does not guarantee future results.
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Support & Updates
Regular updates and improvements are made to enhance functionality. For questions, suggestions, or bug reports, please use the comments section below.
Happy Trading! 📊💹
Crypto Schlingel - PVSRA POC EMA Suite v5.903The Chart Indicator Suite combines a wide range of powerful tools that help traders accurately analyze market structures, volatility, and key price zones. With indicators such as POC, pivot points, EMAs, VWAP, Bollinger Bands, and important market levels such as yesterday/weekly high & low, daily open, psy high/low, and ADR, the suite offers a comprehensive overview of trends and market behavior. Supplemented by pvsra candles, long candle detection, and the display of relevant stock market opening hours, it reliably supports traders in making informed trading decisions.
Indicators are configurable
All of the indicators mentioned are fully configurable and can be flexibly adapted to individual trading strategies. Users can freely adjust parameters, display types, and sensitivities to highlight exactly the market information that is relevant to their personal trading style.
The individual fields in the configuration are self-explanatory or are explained in a toolbar, so that the possible settings become clear.
POC
The Point of Control (POC) is a central concept in market profile and volume profile analysis and plays an important role in technical chart analysis. Here is a detailed description of its usefulness and significance:
Definition
The point of control (POC) is the price level at which the most trading volume has taken place within a certain period of time.
It therefore shows the price at which buyers and sellers were most active – the center of market interest.
📊 Use and significance in chart analysis
1. Central support and resistance zone
Since the largest volume was traded at the POC, this price is considered a “fair zone” or equilibrium price.
The market often reacts strongly to the POC:
Above the POC → potential resistance if the price is coming from below.
Below the POC → potential support if the price is falling from above.
Example: If the price returns to the POC, this can be an entry opportunity for traders betting on a market reaction.
2. Interpretation of market acceptance
A price range with high volume (including POC) shows where the market has accepted a fair value.
Low volume, on the other hand, indicates rejection or disinterest.
→ The POC therefore helps to distinguish between accepted price zones and transition areas.
PIVOT POINTS
Pivot points are predefined price levels calculated from the previous day's price data (or a previous time unit).
They help traders identify potential support and resistance zones for the current trading day (or period).
Benefits of pivot points in chart analysis
1. Determining support and resistance areas
The calculated pivot levels (P, S1, S2, R1, R2, etc.) show where the market is likely to react:
Supports (S1, S2, S3) → possible downward turning points.
Resistance (R1, R2, R3) → possible upward turning points.
These zones are often observed by many traders at the same time, making them self-fulfilling marks.
2. Trend determination and market sentiment
If the market opens above the pivot (P) and remains there → signals buying pressure.
If the market trades below the pivot (P) → signals selling pressure.
A break above R1 or below S1 may indicate a strong trend day.
EMA Exponential Moving Average
The EMA is the exponentially weighted moving average of a price.
It shows the average price of a security over a certain period of time, weighted according to recency – that is:
👉 more recent price data has more influence than older data.
This distinguishes it from the simple moving average (SMA), in which all values are weighted equally.
Benefits of the EMA in chart analysis -> Identifying trends
The EMA reacts more quickly to price changes than the SMA and is therefore ideal for:
Identifying trend reversals at an early stage
Confirming trend directions
👉 Rising EMA → Upward trend
👉 Falling EMA → Downward trend
Traders often use combinations such as:
EMA 50 / EMA 200 → Long-term trends
SIGNIFICANCE OF HIGHS AND LOWS
The daily high, daily low, weekly high, and weekly low are objective price zones that show:
Where the market bought (high) or sold (low) the most, and where supply and demand reached their extremes in the past period.
These levels often act as magnetic price zones in ongoing trading, where traders react (entry, profit-taking, or stop setting).
🎯 Use of yesterday's high and low (previous day high/low)
🔹Support and resistance levels
Yesterday's high often acts as resistance when the price comes from below.
Yesterday's low becomes support when the price falls from above.
➡️ Traders watch these levels closely to trade breakouts or reversals.
EMA 9 / EMA 20 → Short-term movements
🎯 Benefits of weekly highs and lows (Weekly High/Low)
Important structural markers in the higher time frame
Weekly highs and lows show medium to long-term market structure.
They are often considered stronger supports/resistances than daily levels.
➡️ For example, if the price breaks above the weekly high, this usually signals institutional interest and may indicate a continuation of the trend.
➡️ Conversely, failure to break above a weekly high may indicate market weakness or a reversal.
DAILY OPEN
The Daily Open is the price at which trading begins on a new day.
It marks the first price after the close of the previous trading session.
👉 In many markets (e.g., Forex, index futures, crypto), this is the starting point of daily price movement, where market direction and sentiment realign.
🎯 Benefits of the Daily Open in chart analysis
Direction indicator (daily bias)
The Daily Open serves as a neutral center line for the current trading day.
Traders use it to assess the market direction (bias):
Price above the Daily Open → bullish day (buyers dominate)
Price below the daily open → bearish day (sellers dominate)
📈 → If the daily open is broken and held above, this indicates upward momentum.
📉 → If it is broken below, this signals weakness.
This simple observation helps traders trade with the daily trend rather than against it.
STOCK MARKET OPENING HOURS
Every major stock exchange has defined trading hours during which institutional capital is active.
Examples (CET):
Asia (Tokyo/ Hong Kong) 1:00 a.m. – 9:00 a.m.
Europe (London/Frankfurt) 08:00 – 17:30
USA (New York) 15:30 – 22:00
Market dynamics change significantly during these time windows, as volume, liquidity, and volatility fluctuate depending on the session.
📈 Benefits in chart analysis
🔹Recognizing volatility and liquidity phases
At the start of a session (e.g., 9:00 a.m. in Frankfurt or 3:30 p.m. in New York), trading volume rises sharply.
This results in strong movements, often with changes in direction or breakouts.
👉 These phases are particularly suitable for:
Breakout strategies
Volume or momentum trades
Example:
If an index (e.g., DAX or S&P 500) reacts strongly at the US opening, this indicates institutional activity that may shape the rest of the day.
PSY HIGH AND PSY LOW
Psy High and Psy Low stand for:
Psychological High → the psychologically significant upper price level of a particular range
Psychological Low → the psychologically significant lower price level
These are often round numbers or striking price zones that market participants unconsciously use as a guide.
Examples:
For EUR/USD: 1.0500, 1.1000, 1.1500
For DAX: 17,000, 17,500, 18,000
For BTC/USD: 60,000, 65,000, 70,000
Traders also refer to such levels as “big figures” or “round numbers.”
📊 Why are psy levels so important?
Because they are based on human perception and market psychology:
👉 People think in round numbers, not in decimals such as 1.1037 or 17.264.
That's why:
Private investors often place their stop losses or take profits just above or below these levels, Institutional traders place large limit orders in these zones, and Algorithms react to the liquidity created there.
→ This results in increased volume, reaction patterns, and price movements at these levels.
ADR (Average Daily Range)
The ADR measures the average daily trading range of a market over a specific period of time – i.e., how many points, pips, or dollars the price typically moves per day.
Example:
If the DAX has moved an average of 180 points per day over the last 14 days, the ADR(14) = 180.
🎯 The benefits of ADR in chart analysis
🔹 Assessment of daily volatility
The ADR shows how much a market typically moves per day.
→ This allows you to see whether the current day is more volatile or calmer than normal.
Interpretation – Meaning
Current range < ADR
→ Market is still moving within normal limits → Potential for further movement
Current range ≈ ADR
→ Daily target largely achieved → lower probability of significant expansion
Current range > ADR
→ Market overextended → increased probability of correction or consolidation
👉 This helps you to plan entries, price targets, and stops realistically.
VWAP (Volume Weighted Average Price)
The VWAP is the volume-weighted average price of a security for a specific period of time – usually per day.
👉 Unlike a simple moving average (e.g., EMA), the VWAP takes into account how much was actually traded – not just where the price was.
It therefore reflects the fair market value, taking into account the trading volume.
🎯 Benefits of VWAP in chart analysis
🔹 Determining the fair average price
The VWAP shows where the majority of the trading volume took place – i.e., the price that the majority of market participants actually paid.
➡️ This is the “fair price of the day.”
Price above VWAP → buyers dominate (bullish)
Price below VWAP → sellers dominate (bearish)
This information is particularly valuable for determining the intraday bias (direction of the day).
BOLLINGER BANDS
Bollinger Bands consist of three lines based on a moving average (usually SMA 20):
Middle band:
→ usually the 20-period SMA (simple moving average)
Upper band:
→ SMA + (2 × standard deviation)
Lower band:
→ SMA − (2 × standard deviation)
👉 This means that the bands “breathe” with volatility – they widen when the market is volatile and contract when the market is calm.
🎯 The benefits of Bollinger Bands in chart analysis
🔹 Measuring market volatility
The main function of Bollinger Bands is to visualize the volatility of a market:
Wide bands → high volatility → strong movement/trend phase
Narrow bands → low volatility → calm market/consolidation
📈 When the bands contract sharply (“Bollinger squeeze”) → often a harbinger of an impending breakout.
KAMA
The KAMA was developed by Perry J. Kaufman.
Unlike normal moving averages such as SMA or EMA, it dynamically adjusts its smoothing to market conditions:
Low volatility / strong trend → reacts faster to price movements
High volatility / sideways movement → reacts slower, reduces false signals
The core idea: adaptability instead of rigid smoothing.
🎯 Benefits of KAMA in chart analysis
🔹 Filtering out market noise
KAMA smooths out unnecessary price fluctuations (noise) that many normal indicators mistakenly interpret as signals.
➡️ This minimizes false signals in sideways phases, while real trends remain visible.
EXTRA LARGE WICKS
A wick (or wick) is the thin line above or below the candle body:
Top → Highest price during the period
Bottom → Lowest price during the period
Long wick → Significant rejection of the price at this extreme zone
Example: A long upper wick means that the price rose high but was then pushed back sharply.
🎯 Benefits of long wicks in chart analysis
🔹 Recognizing rejections and resistance
Long upper wick: Sellers did not allow the higher price → possible downward reversal
Long lower wick: Buyers defended the lower price → possible upward reversal
💡 The market “speaks” through these wicks: It shows where buyers or sellers are not giving in any further.
Bravo EssentialsThe Bravo Essentials is a mini toolkit of volume based analysis tools for traders. By combining analysis of multiple market dimensions we created this toolkit for traders that want a clean setup for analysing volume and trends.
The Normalized Volume and Volatility Frequency Profile
This is a specialized analytical indicator that integrates volatility-adjusted volume data with a price frequency distribution profile. It provides a multidimensional perspective of how trading activity and volatility interact across different price levels, allowing for a deeper understanding of where market participation is most concentrated and how price dynamics evolve over time.
Unlike traditional volume or profile indicators that treat volume and volatility separately, this tool adjusts volume relative to volatility, creating a more balanced and context-aware representation of market behavior. This helps traders observe how changes in volatility influence participation, and where stable or reactive zones tend to form in the price structure.
The indicator displays a visual box made up of two main components:
Normalized Volume with Volatility Adjustment, displayed at the bottom, showing how trading activity responds to varying levels of volatility.
Price Frequency Profile — positioned on the right side, mapping how often price has traded at each level and highlighting the Point of Control (POC), the area of highest activity or equilibrium.
Key Features
- Normalized Volume & Volatility Display
Illustrates trading activity in context with volatility changes, revealing periods of expansion and contraction that may not appear on raw volume charts.
- Frequency Distribution Profile
Displays the density of price interactions across the selected range, helping highlight zones where the market has spent the most time.
- Point of Control (POC)
Marks the level with the highest concentration of price activity, often an area of balance or a potential inflection point.
- Adaptive Scaling
Automatically adjusts to market conditions, ensuring consistent readability during both high and low volatility periods.
- Gradient Visualization
Uses color intensity to convey the strength of both volume and frequency data, aiding quick interpretation.
- Customizable Parameters
Includes options to modify lookback length, bin count, and color palette to suit different charting preferences.
How to Use
- Volume and Volatility Context
Detect transitions between low-activity consolidation and high-activity breakout conditions by comparing normalized volume behavior with price movement.
- Market Structure Analysis
Identify areas of balance and imbalance within the price range, offering potential support and resistance cues.
- Trend Assessment
Analyze the relationship between rising or falling normalized volume and directional price changes to evaluate momentum consistency.
- Breakout Confirmation
Observe how price behaves around the POC; a breakout with increasing normalized volume can reinforce directional conviction.
Pre-Move Compression Zones
Recognize low-volatility regions that often precede significant directional expansions.
The Dynamic POC
The Dynamic Point of Control (Dynamic POC) is a price based key level that continuously adapts to evolving market conditions. It represents the price area where the most trading activity or volume concentration has occurred within a defined lookback period. This level effectively marks the market’s short-term “center of gravity,” providing valuable insight into areas of balance, interest, and potential reaction.
Unlike static profile based POC levels that are calculated once and remain fixed, the Dynamic POC recalculates in real time as new data forms. This makes it more responsive to intraday structure and better suited for active trading environments where market balance can shift quickly. The inclusion of volatility-based upper and lower bands adds further context, helping traders assess how far price has deviated from equilibrium and whether current movement is expanding or reverting toward balance.
Key Features
- Adaptive Price Equilibrium
Continuously tracks the most active price zone within a rolling window, updating dynamically as market conditions evolve.
- Volume-Weighted Logic
Reflects where the greatest market participation occurs, highlighting levels where buyers and sellers have historically agreed on value.
- Volatility Bands
Optional upper and lower boundaries expand and contract based on market volatility, visually defining zones of potential overextension or compression.
- Color-Coded Visualization
Uses clear, consistent coloring to distinguish the POC line and its volatility envelopes, making it easy to interpret balance shifts at a glance.
- Customizable Width and Lookback
Adjustable parameters allow traders to fine-tune sensitivity and precision depending on the timeframe or strategy focus.
How to Use
- Market Balance Indicator
When price remains close to the Dynamic POC, it suggests equilibrium—markets are balanced and consolidating.
- Directional Bias Filter
Sustained movement above the Dynamic POC often reflects bullish control, while persistent price action below can indicate bearish sentiment.
- Reversion & Breakout Context
Tests of the upper or lower volatility bands can precede mean reversion toward the POC, while clean breaks beyond them may confirm continuation momentum.
- Support and Resistance Framework
The Dynamic POC frequently aligns with short-term support or resistance zones, making it a useful anchor for trade entries, targets, and risk placement.
By combining both the POC and the Volume Frequency Profile we are able to build up a system of confluence whereby we can locate pockets of larger volume in the market. Generally speaking these are good areas to be setting areas for entries, exits and stop losses.
