Nokor Traders CRTThis indicator combines three powerful tools in one to improve market analysis and trading decisions:
• Higher Timeframe Candlestick View – Helps traders understand overall market structure, momentum, and key price behavior from larger timeframes.
• Asia, London, and New York Killzone Sessions – Highlights major market trading sessions to help identify high-liquidity periods and potential volatility opportunities.
• Heikin Ashi Trend Line – Assists in detecting trend direction and potential reversal points with smoother price visualization.
This all-in-one indicator is designed to help traders identify market bias, session volatility, and trend changes more clearly and efficiently.
Admin t.me
Indikator dan strategi
Hawks NY Midnight OpenPlots the New York Midnight Open price with configurable horizontal and vertical reference lines, session-based timing, and adjustable extensions.
Central Bank Liquidity Gap IndicatorThis indicator measures the gap between global liquidity growth and stock market growth to identify potential buying opportunities.
Liquidity drives markets. When central banks print money, that liquidity eventually flows into stocks and other assets. If we spot when liquidity growth is outpacing market growth, we can spot moments when the market is "due" to catch up.
I like this quote:
Earnings don't move the overall market; it's the Federal Reserve Board... focus on the central banks and focus on the movement of liquidity."
- Stanley Druckenmiller
How Central Bank Liquidity Gap Indicator Works
The indicator calculates a simple divergence:
Divergence = Liquidity Growth % − S&P 500 Growth %
Green bars = Liquidity is growing faster than the market (bullish)
Red bars = Market is growing faster than liquidity (less bullish)
Multi-Country M2 Money Supply
Unlike basic M2 indicators, this one lets you combine money supply data from multiple economies, including US, UK, Canada, China, Eurozone, Switzerland and Japan.
Each country's M2 is automatically weighted by its actual size (converted to USD). Larger economies have more influence on the global liquidity picture.
I've added a discount for China. China's M2 weight is reduced by 50% to account for capital controls that limit how much Chinese liquidity flows into global markets and into the US market.
Fed Net Liquidity
You can also blend in Fed Net Liquidity for a more precise US liquidity measure:
Net Liquidity = Fed Balance Sheet − Treasury General Account − Reverse Repo
This captures the actual liquidity the Fed has injected into financial markets, not just the broad money supply.
How To Read It
The Buy Zone (5%+ Divergence)
When the divergence exceeds +5%, the indicator enters the "Buy Zone" (highlighted with green background). This means liquidity is significantly outpacing market growth — historically a good buy signal.
The Support Table
The info table shows:
Component weights: How much each country's M2 contributes
Corr w/ SPX: Current correlation between liquidity and SPX (are they moving together?)
Leads SPX by X: Does past liquidity predict future SPX moves? (higher = more predictive)
Divergence %: Current divergence value
Signal
Correlation Stats
Corr w/ SPX: Measures if liquidity and SPX are moving in sync right now
Leads SPX: Measures if liquidity changes predict future SPX moves. A positive value here suggests liquidity is a leading indicator.
Potential Use Cases
Long-term investing: Wait for 5%+ divergence (buy zone) to accumulate index funds, ETFs, or stocks
Leveraged ETFs: Use buy zone signals to time entries into UPRO, TQQQ, SSO (higher risk, higher reward)
Crypto: Bitcoin and crypto markets also correlate with global liquidity — use this for BTC accumulation timing
Risk management: Avoid adding positions when divergence is deeply negative
Important Notes
This is a long-term indicator and not for daytrading. It works best used on Daily/Weekly timeframes
It identifies accumulation zones and not precise bottoms
Truly yours, Henrique Centieiro
Inspired by the relationship between M2 money supply and market performance, enhanced with multi-country liquidity tracking and Fed balance sheet analysis.
Let me know if you have questions/suggestions.
btall//@version=5
strategy("AR | AlphaEdge Pro (No-Repaint) v1.0",
overlay=true,
initial_capital=100000,
commission_type=strategy.commission.percent,
commission_value=0.04,
slippage=1,
pyramiding=0,
calc_on_order_fills=true,
calc_on_every_tick=false,
process_orders_on_close=true)
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
// Inputs
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
grp1 = "Trend + Signals"
useHTF = input.bool(true, "Use Higher TF Trend Filter", group=grp1)
htf = input.timeframe("240", "Higher Timeframe", group=grp1)
htfEmaLen = input.int(200, "HTF EMA Length", minval=1, group=grp1)
emaFastLen = input.int(21, "Fast EMA", minval=1, group=grp1)
emaSlowLen = input.int(55, "Slow EMA", minval=1, group=grp1)
stAtrLen = input.int(10, "Supertrend ATR Length", minval=1, group=grp1)
stFactor = input.float(3.0, "Supertrend Factor", minval=0.1, step=0.1, group=grp1)
rsiLen = input.int(14, "RSI Length", minval=1, group=grp1)
rsiBull = input.int(52, "RSI Bull Threshold", minval=1, maxval=99, group=grp1)
rsiBear = input.int(48, "RSI Bear Threshold", minval=1, maxval=99, group=grp1)
useVolFilter = input.bool(true, "Use Volume Filter", group=grp1)
volLen = input.int(20, "Volume SMA Length", minval=1, group=grp1)
volMult = input.float(1.2, "Volume Multiplier", minval=0.1, step=0.1, group=grp1)
grp2 = "Risk Management (ATR)"
atrLen = input.int(14, "ATR Length", minval=1, group=grp2)
slAtrMult = input.float(1.6, "Stop = ATR x", minval=0.1, step=0.1, group=grp2)
rr = input.float(2.0, "Risk:Reward (TP)", minval=0.1, step=0.1, group=grp2)
useRiskPct = input.bool(true, "Dynamic Position Size by Risk %", group=grp2)
riskPct = input.float(1.0, "Risk % of Equity per Trade", minval=0.05, step=0.05, group=grp2)
maxPosPct = input.float(20.0, "Max Position % of Equity Cap", minval=1.0, step=1.0, group=grp2)
grp3 = "Breakeven + Session"
useBE = input.bool(true, "Move Stop to Breakeven", group=grp3)
beTriggerATR = input.float(1.0, "Trigger After +ATR x", minval=0.1, step=0.1, group=grp3)
beOffsetATR = input.float(0.05, "BE Offset (ATR x)", minval=0.0, step=0.01, group=grp3)
useSession = input.bool(false, "Trade Only in Session", group=grp3)
sess = input.session("1000-1500", "Session (exchange time)", group=grp3)
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
// Helper / Filters
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
inSession = not useSession or not na(time(timeframe.period, sess))
emaFast = ta.ema(close, emaFastLen)
emaSlow = ta.ema(close, emaSlowLen)
rsi = ta.rsi(close, rsiLen)
atr = ta.atr(atrLen)
volOk = not useVolFilter or (volume > ta.sma(volume, volLen) * volMult)
// Supertrend
= ta.supertrend(stFactor, stAtrLen) // stDir: 1 bullish, -1 bearish (TradingView behavior)
stBull = stDir == 1
stBear = stDir == -1
// HTF trend (lookahead_off to reduce repaint risk on historical vs realtime behavior)
htfEma = request.security(syminfo.tickerid, htf, ta.ema(close, htfEmaLen), barmerge.gaps_off, barmerge.lookahead_off)
htfBull = close >= htfEma
htfBear = close <= htfEma
trendOkLong = not useHTF or htfBull
trendOkShort = not useHTF or htfBear
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
// Entry Conditions (confirmed bar to avoid “intrabar” surprises)
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
longSignal = barstate.isconfirmed and inSession and trendOkLong and stBull and close > emaFast and emaFast > emaSlow and rsi >= rsiBull and volOk
shortSignal = barstate.isconfirmed and inSession and trendOkShort and stBear and close < emaFast and emaFast < emaSlow and rsi <= rsiBear and volOk
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
// Position sizing by ATR stop distance (approx; works best on stocks/spot)
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
f_posQty(_stopDist) =>
// Risk capital = equity * riskPct%
riskCapital = strategy.equity * (riskPct / 100.0)
// Qty to risk roughly riskCapital if stop hits
rawQty = _stopDist > 0 ? (riskCapital / _stopDist) : 0.0
// Cap position size by maxPosPct% of equity
maxPositionValue = strategy.equity * (maxPosPct / 100.0)
maxQty = close > 0 ? (maxPositionValue / close) : rawQty
qty = math.max(0.0, math.min(rawQty, maxQty))
qty
stopDist = atr * slAtrMult
qty = useRiskPct ? f_posQty(stopDist) : na
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
// Entries
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
if (longSignal and strategy.position_size <= 0)
strategy.entry("L", strategy.long, qty=useRiskPct ? qty : na)
if (shortSignal and strategy.position_size >= 0)
strategy.entry("S", strategy.short, qty=useRiskPct ? qty : na)
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
// Exits (ATR SL/TP + optional Breakeven)
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
isLong = strategy.position_size > 0
isShort = strategy.position_size < 0
entry = strategy.position_avg_price
longSL = entry - stopDist
longTP = entry + stopDist * rr
shortSL = entry + stopDist
shortTP = entry - stopDist * rr
// Breakeven logic
beTrig = atr * beTriggerATR
beOff = atr * beOffsetATR
if isLong and useBE
// if price moved in our favor enough -> raise stop to entry (+offset)
if (close - entry) >= beTrig
longSL := math.max(longSL, entry + beOff)
if isShort and useBE
if (entry - close) >= beTrig
shortSL := math.min(shortSL, entry - beOff)
// Submit exits every bar so they update dynamically
strategy.exit("XL", from_entry="L", stop=longSL, limit=longTP, when=isLong)
strategy.exit("XS", from_entry="S", stop=shortSL, limit=shortTP, when=isShort)
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
// Visuals + Alerts
//━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
plot(emaFast, "EMA Fast", linewidth=2)
plot(emaSlow, "EMA Slow", linewidth=2)
plot(stLine, "Supertrend", linewidth=2)
plot(useHTF ? htfEma : na, "HTF EMA", linewidth=2)
plotshape(longSignal, title="Long Signal", style=shape.triangleup, location=location.belowbar, size=size.tiny, text="L")
plotshape(shortSignal, title="Short Signal", style=shape.triangledown, location=location.abovebar, size=size.tiny, text="S")
alertcondition(longSignal, title="AlphaEdge Long", message="AlphaEdge LONG on {{ticker}} @ {{close}}")
alertcondition(shortSignal, title="AlphaEdge Short", message="AlphaEdge SHORT on {{ticker}} @ {{close}}")
Dynamic Wick PriceAdvanced Line Chart, which plots Highs + Lows
which was missing in traditional line chart
Sessions [LuxAlgo & TrendRiderIO]Visualize and track trading sessions with customizable ranges, VWAP bands, and high/low levels. Enhanced version of LuxAlgo's Sessions indicator.
Track up to 3 customizable trading sessions (NY, London, Tokyo) with session range boxes, session-specific anchored VWAP with standard deviation bands, and high/low extension lines for the last 3 completed sessions. Includes peak hours visualization, session overlap highlighting, and breach alerts with direction indication.
Perfect for identifying key support/resistance levels, analyzing session strength, finding entry/exit points, and breakout trading.
License: CC BY-NC-SA 4.0 | Based on work by @LuxAlgo, enhanced by TrendRiderIO.
LCCM & C7Lục Chỉ Cầm Ma (LCCM)
This indicator replicates the Lục Chỉ Cầm Ma (LCCM) trading method developed by Khac Quy .
Lục Chỉ Cầm Ma (LCCM) is a rule-based breakout and trend-following trading method, originally designed for Gold (XAUUSD) and optimized for M15 and M30 timeframes.
The method focuses on key support and resistance levels (barriers), candle strength analysis, and MA20 for trade management.
🔹 Core Trading Logic
Buy Signal:
A buy setup is considered when a candle closes above a resistance barrier, indicating a valid breakout.
Sell Signal:
A sell setup is considered when a candle closes below a support barrier, indicating a downside breakout.
🔹 C7 Candle Pattern
🔸 C7CB (Basic 3-Candle Pattern)
C7CB consists of three consecutive candles with decreasing body size.
The body of candle 1 is larger than candle 2, and candle 2 is larger than candle 3.
This pattern indicates that trend momentum is weakening and buyers/sellers are losing control.
Usage:
Exit or partially close positions.
Alternatively, move stop loss to breakeven to protect profits.
🔸 C7CC (Extended 5-Candle Pattern)
C7CC is a five-candle consolidation pattern, consisting of:
One mother candle (largest range),
Followed by four inside candles with smaller ranges.
The final candle that breaks out of this structure is used to confirm trend continuation or reversal, depending on direction.
Usage:
If a strong reversal candle appears after C7CC, close existing positions.
If breakout aligns with the trend, traders may continue holding or add positions cautiously.
You can refer to other C7 patterns in the LCCM documentation by the author Khac Quy.
Volatility & Probability by Hour/DayVolatility & Probability by Hour/Day
Analyzes historical candle data to find statistically significant time-based patterns. Tracks green candle probability, volatility, and average returns broken down by hour (UTC), day of week, and their combinations.
What It Shows:
Hourly Table: P(Green), edge, volatility, and average return for each hour (00:00-23:00 UTC)
Day of Week Table: Same metrics aggregated by day (Sun-Sat)
Top Combinations: The 5 best bullish and 5 best bearish day+hour slots ranked by edge
Key Metrics:
P(Grn): Historical probability the candle closes green
Edge: Deviation from 50% (how tradeable the bias is)
Vol%: Average candle range as percentage of price
N: Sample size
Use Cases:
Identify optimal entry windows with statistical edge
Avoid low-edge, high-volatility periods (noise)
Find specific day+hour combinations with compounding edges
Time trades around recurring market patterns
Notes:
All times in UTC
Current period highlighted with ►
Best results on liquid assets with sufficient history
Edges are historical and not guaranteed to persist
QQQ 5m/15m Options Confluence (4-of-4) - HemanthaBuilt on confluences
it has confluences built on divergence
both bullish and bearish
also takes into account vwap and volume ,5 and 15 minute indicator
Arpoom//@version=5
indicator("Volume & Body Spike Multiplier", overlay=true)
// 1. คำนวณค่าเฉลี่ย 20 แท่ง
avgVol = ta.sma(volume, 20)
currentBody = math.abs(close - open) // ใช้ math.abs เพื่อให้ค่าเป็นบวกเสมอ
avgBody = ta.sma(currentBody, 20)
// 2. คำนวณ Multipliers
volMultiplier = volume / avgVol
bodyMultiplier = currentBody / avgBody
// 3. กำหนดเงื่อนไข
// วอลุ่มมากกว่า 2 เท่า และ เนื้อเทียนยาวกว่าค่าเฉลี่ยเนื้อเทียน 20 แท่ง
volCondition = volume > (avgVol * 2)
bodyCondition = currentBody > avgBody
longCondition = volCondition and bodyCondition and close > open
shortCondition = volCondition and bodyCondition and close <= open
// 4. วาดลูกศร
plotshape(longCondition, style=shape.triangleup, location=location.belowbar, color=color.green, size=size.small, title="Long Body Spike")
plotshape(shortCondition, style=shape.triangledown, location=location.abovebar, color=color.red, size=size.small, title="Short Body Spike")
// 5. แสดงตัวเลขบน Label (V = Volume x, B = Body x)
if longCondition
label.new(bar_index, low, str.format("V: {0,number,#.#}x B: {1,number,#.#}x", volMultiplier, bodyMultiplier), yloc=yloc.belowbar, color=color.new(color.green, 20), textcolor=color.white, style=label.style_label_up, size=size.small)
if shortCondition
label.new(bar_index, high, str.format("V: {0,number,#.#}x B: {1,number,#.#}x", volMultiplier, bodyMultiplier), yloc=yloc.abovebar, color=color.new(color.red, 20), textcolor=color.white, style=label.style_label_down, size=size.small)
// 6. ระบบแจ้งเตือน (Alerts)
alertcondition(longCondition, title="Buy Spike (Vol & Body)", message="Body Spike Up! Vol: {{plot_0}}x, Body: {{plot_1}}x")
alertcondition(shortCondition, title="Sell Spike (Vol & Body)", message="Body Spike Down! Vol: {{plot_0}}x, Body: {{plot_1}}x")
// ส่งค่าออกเพื่อให้ Alert ดึงไปใช้
plot(volMultiplier, "Vol Mult", display=display.none)
plot(bodyMultiplier, "Body Mult", display=display.none)
Moving Average Momentum Bands📊 MA Momentum Bands - Crossover Detection with Predictive Signals
Overview
Advanced moving average system with intelligent crossover detection and early warning predictive signals. Designed to catch trend changes with precise timing while filtering out choppy market noise.
Key Features
📈 4 Customizable Moving Averages
Choose from EMA, SMA, SMMA (RMA), WMA, or VWMA
Adjustable periods and colors
Visual fill zones between MA pairs
✓ Confirmed Crossover Signals
Fires on actual MA crossover with confirmation filters
Slope Filter: Requires slow MA to be trending (filters choppy markets)
Acceleration Filter: Detects momentum shifts and deceleration (catches reversals)
Highly configurable thresholds for different trading styles
⚠ Predictive Signals (Optional)
Early warning system fires 1-8 bars BEFORE actual crossover
Velocity-based calculation estimates when crossover will occur
Smart debouncing prevents signal spam (fires once per setup)
Auto-resets after crossover or when prediction fails
🔍 Debug Table
Real-time metrics: MA slope, acceleration, velocity, distance
"Bars Until Cross" prediction countdown
Perfect for fine-tuning settings
How It Works
Confirmed Signals (✓ triangles):
Fast MA crosses Slow MA
Slow MA must be trending (slope > threshold) OR decelerating
Filters ensure quality signals in trending markets
Predictive Signals (⚠ triangles):
Calculates MA velocities (rate of change)
Estimates bars until crossover based on approach speed
Fires early warning when crossover imminent
Only fires once per setup (no spam)
Best Use Cases
Swing Trading: Catch trend changes early with predictive signals
Trend Following: Use confirmed signals for high-probability entries
Multi-Timeframe: Combine with higher TF analysis for confirmation
Filter for Other Strategies: Add MA crossover confirmation to your existing system
Recommended Settings
Conservative (Fewer, Higher Quality Signals):
Slope Threshold: 0.002-0.005
Acceleration Filter: ON
Predict Bars Ahead: 5-8
Balanced (Default):
Slope Threshold: 0.001-0.002
Acceleration Filter: ON
Predict Bars Ahead: 3-5
Aggressive (More Signals, Earlier Entries):
Slope Threshold: 0.0001
Acceleration Filter: OFF
Predict Bars Ahead: 1-3
Quick Start
Add to chart - confirmed signals work immediately
Adjust slope/acceleration filters to match your timeframe
Enable predictive signals for early entries
Use debug table to fine-tune settings
Set up alerts for hands-free trading
Alerts Included
Bullish/Bearish MA Cross (confirmed)
Predictive Bullish/Bearish Cross (early warning)
Perfect for traders who want to catch trend changes early while avoiding false signals in choppy markets!
Chart Info & Candle CountdownThis indicator displays essential chart information directly on the chart:
Displays the current date
Displays the current symbol
Displays the current timeframe with a countdown to candle close
The candle close countdown is visually highlighted to improve time awareness:
from 2 minutes before candle close on minute timeframes
from 15 minutes before candle close on higher timeframes
This indicator is designed for informational purposes only and does not generate trading signals.
Bob's Whale Hunter - V7 (Jorge's Algo)Trade like a whale, not the bait.
The Whale Hunter V7 is a high-performance toolkit specifically engineered for traders following Smart Money Concepts (SMC) and Institutional Price Action. This indicator automates the identification of high-probability zones based on the AMD (Accumulation, Manipulation, Distribution) cycle.
🚀 Key Features:
Institutional Liquidity Sweeps: Automatically detects liquidity grabs at key highs and lows. These are the exact spots where institutional "whales" enter the market by triggering retail stop losses.
Dynamic Fair Value Gaps (FVG): Highlights market imbalances that act as price magnets. This allows you to time your entries during the "rebalance" with surgical precision.
Multi-Timeframe Dashboard (HTF Matrix): A real-time panel showing the Macro bias (4H) versus the Entry trend (15m). Stay aligned with the higher-timeframe order flow at all times.
Elite Market Structure: An institutional-grade trend filter that shifts color based on market dominance, helping you distinguish between a deep retracement and a true trend reversal.
🛠 How to Trade it (The Institutional Checklist):
Macro Alignment: Check the Dashboard. If 4H is green, look for buy setups only. Never trade against the "Big Money" flow.
Identify the Sweep: Wait for the triangle signal (Sweep). This confirms that liquidity has been cleared and the "Manipulation Phase" is likely complete.
The Trigger (FVG): Once a Break of Structure (ChoCH) occurs after the sweep, look for entries within the highlighted FVG boxes that align with your OTE (Optimal Trade Entry) Fibonacci levels.
Targeting: Aim for the opposing liquidity pools or the next institutional level identified by the script.
"Trading is a game of probabilities. Follow the footprints left by the giants."
Trinity Scalping Direction DashbaordTrinity Scalping Dashboard – User Guide
**Purpose**
This indicator shows whether the current price is above or below the 5-period EMA across five key timeframes (5 min, 15 min, 1 hour, 4 hour, Daily).
It highlights when all five timeframes are aligned in the same direction (all bullish or all bearish), giving a clear "Buy", "Sell", or "No Trade Zone" signal.
**What the indicator displays**
- A dashboard table appears in one corner of the chart
- Each row shows one timeframe
- Text says "Above - Bullish" (green) or "Below - Bearish" (red) depending on whether current price is above or below the 5 EMA on that timeframe
- The bottom row shows the overall signal:
- **Buy** → all 5 timeframes are bullish (price > 5 EMA on every TF)
- **Sell** → all 5 timeframes are bearish (price < 5 EMA on every TF)
- **No Trade Zone** → mixed alignment (not all timeframes agree)
**Customizing the indicator**
- **EMA Period** — default is 5, but you can change it (e.g. to 8, 9, 13, etc.)
- **Colors** — adjust Bullish (green), Bearish (red), and No Trade (yellow) colors to your preference
- **Table Position** — choose Top Right, Bottom Right, or Bottom Left
- **Text Sizes** — separately control the size of the timeframe rows and the signal row (Tiny → Huge)
- **Header** — shows "Options Direction Dashboard" at the top of the table (you can edit the text in the code if desired)
**How to read the signal**
- **Strong Buy** — entire table green + bottom row says **Buy**
- **Strong Sell** — entire table red + bottom row says **Sell**
- **No clear direction** — mixed colors + bottom row says **No Trade Zone**
Only trade in the direction of the **full alignment** (all rows same color) for highest-probability setups.
**Alerts**
Three alert conditions are built-in:
1. **Buy Signal** — triggers when all timeframes become bullish
2. **Sell Signal** — triggers when all timeframes become bearish
3. **Signal Change** — triggers any time the overall signal changes (Buy ↔ Sell ↔ No Trade)
To set an alert:
- Right-click on the chart → **Add Alert**
- In **Condition**, select this indicator
- Choose one of the three conditions (Buy Signal / Sell Signal / Signal Change)
- Set frequency to **Once Per Bar Close** (recommended for most users)
- Customize notification (email, SMS, webhook, etc.)
**Best practices**
- Use for scalping when all EMA align and only take trades in the direction of the alignment.
- Use on higher timeframes (1H, 4H, Daily) for swing/position trading and use the smaller timeframe to time entries
- Combine with your existing price action, support/resistance or other filters
- The strongest setups occur when the signal flips from No Trade → Buy or No Trade → Sell
HVN Boundary Assist FRVP + ATR Tempo Auto TF Defaults (LOCKED)This indicator is a structure-assist tool, not a signal generator. It is designed to standardize High-Volume Node (HVN) boundary placement and evaluation when using TradingView’s Fixed Range Volume Profile (FRVP) on weekly and monthly timeframes.
The script does not attempt to discover HVNs automatically. The trader selects the HVN visually using FRVP and inputs the HVN center (effective VPOC). From there, the script applies consistent, rules-based logic to define boundaries, track interaction, and prevent lower-timeframe levels from conflicting with higher-timeframe structure.
What the indicator does
1. Standardizes HVN boundary placement
Using the active timeframe’s ATR, the indicator identifies the first candle that regains tempo on each side of the HVN center.
A valid boundary requires:
A bar range ≥ a fixed fraction of ATR
A close that breaks prior rotational overlap
The close of that candle becomes the candidate HVN high or low. Wicks are ignored for structure.
2. Automatically adapts to timeframe
The indicator enforces locked system defaults:
Weekly: 0.33 ATR expansion, 10-bar overlap lookback
Monthly: 0.25 ATR expansion, 8-bar overlap lookback
These values adjust automatically based on chart timeframe, eliminating discretionary tuning.
3. Tracks retests without redefining structure
HVN interaction is tracked via wick touches within a tight ATR-based tolerance.
Retests are informational only and never move boundaries. This captures recognition and rejection behavior without violating close-based structure rules.
4. Ranks HVN strength (0–3)
Each HVN is scored using:
Tightness relative to ATR
Relative volume confirmation
Presence of at least one retest
This produces a simple, comparable strength ranking without overfitting.
5. Enforces clean monthly → weekly nesting
An optional monthly gate restricts weekly logic to operate only inside a defined monthly HVN.
If conflicts arise, monthly structure always overrides weekly, preventing level overlap and structural ambiguity.
What the indicator does NOT do
It does not read FRVP data (TradingView limitation)
It does not auto-detect HVNs
It does not generate trade signals
It exists to remove subjectivity and inconsistency from HVN boundary placement and evaluation.
Intended use
Apply FRVP and visually identify the HVN
Enter the HVN center price into the indicator
Let the script define precise boundaries and interaction metrics
Use monthly HVNs as structural rails and weekly HVNs for execution
Design philosophy
Structure is defined by closes and volatility, not wicks
Retests measure recognition, not acceptance
Higher timeframe structure always dominates
This tool enforces those rules mechanically so the trader doesn’t have to.
Four Bollinger Lines - High EMA/WMA + Low EMA/WMA fill no cntrThese are two sets of Bollinger bands, set as the high EMA and a high WMA, and for the second set the Low, EMA and the Low WMA. You can fill the bands for a better visual. Bobszi
Occurrence Scanner | MA Resilience & Breakout LogicThis indicator is designed to quantify the reliability of a Moving Average (MA) as a dynamic Support or Resistance level. Unlike standard crossover indicators that generate signals on every touch, this script employs a rigorous "Zone Tolerance" and "Temporal Confirmation" logic to filter out noise and classify price action into three distinct behaviors: Valid Bounce, Confirmed Breakout, or False Breakout (Trap).
It also integrates an optional Volatility Filter (based on TTM Squeeze mechanics) to prevent false signals during low-volatility "chop" regimes.
HOW IT WORKS:
1. The "Safe Zone" (Buffer Logic): Standard MAs are thin lines. This script creates a programmable "Road" around the MA (defined by the Zone Tolerance % input).
A touch is only considered a potential breakout if the price closes outside this zone.
Wicks that pierce the MA but close inside the zone are treated as Bounces (respecting the level).
2. Event Classification (The Decision Engine): Once the price interacts with the MA Zone, a "Sovereignty Window" (Lookahead Timer) is activated to monitor the subsequent candles:
✅ Bounce: Price tests the MA but never closes outside the Safe Zone during the window. The MA held as support/resistance.
❌ Breakout (Breakdown/Breakup): Price closes outside the Safe Zone. A strict "2-Consecutive Close" logic is applied to confirm the trend change immediately, avoiding premature signals.
⚠️ False Break: Price momentarily closes outside the zone but aggressively reverses to the opposite side within the time window. This identifies "Bull/Bear Traps".
3. The Volatility Filter (Anti-Chop): Market consolidation often leads to MA whipsaws.
The script calculates Bollinger Bands (2.0 std) vs. Keltner Channels (1.5 ATR).
If the Squeeze Filter is enabled in settings, the script forces the scanner to IGNORE any MA touches while volatility is compressed (Squeeze ON). This ensures signals are only generated during active trends.
SETTINGS:
MA Type & Length: Choose between SMA or EMA and the period (e.g., 20, 50, 200).
Zone Tolerance (+/- %): The buffer width. Default is 0.2%. Higher values filter more noise.
Lookahead Candles: The confirmation window size.
Squeeze Filter: Toggle On/Off to ignore signals during low volatility regimes.
INTENDED USE: This tool is intended for Swing Traders and Scalpers looking to statistically validate which Moving Average is being respected by a specific asset. It automates the "visual backtest" process, providing a Dashboard with success rates for Bounces vs. Breaks.
7M Multi-Factor Momentum ScoreboardThe 7M Scoreboard is more than just a collection of indicators; it is a Real-Time Scoring Engine designed for momentum traders and quant-focused analysts. While many scripts simply "mash up" indicators, the 7M Dashboard provides a weighted analytical framework that filters market noise into a single, actionable 7M Score.
It evaluates seven distinct dimensions of market health: Price Action, Relative Volume (Time-specific and Daily), Capital Structure (Float), and Multi-timeframe Trend alignment (VWAP, VWMA, MACD).
Make sure to enable Extended Trading Hours in the TradingView settings.
What makes it original?
The core innovation lies in the 7M Scoring & Alerting logic. Instead of a trader manually checking eight different parameters, the script performs a logical "Pass/Fail" assessment on every bar.
Dynamic Time-Anchored Change: Unlike standard change percentages, this script allows you to anchor the "Starting Price" to the Pre-market (4:00 AM), Regular Open (9:30 AM), or Post-market (4:00 PM).
Relative Volume (RVOL) at Time: It compares the current 5-minute volume not just to recent bars, but to the historical average for that specific time of day, filtering out the standard "lunchtime lull."
Capital Structure Integration: It incorporates a "Float" filter, essential for identifying low-float momentum vs. heavy-cap institutional moves.
How it works
The script calculates a total score out of 9 points based on the following criteria:
Momentum: Is price change > X percent from your chosen time anchor?
Liquidity: Is the 5-minute volume > X million?
Relative Strength: Is Daily RVOL and Time-specific RVOL > X?
Trend Alignment: Is price above VWAP and the 20-period VWMA?
Momentum Convergence: Is the MACD histogram positive?
Volatility Health: Is RSI between 30 and 70 (avoiding extreme over-extension)?
Step-by-Step Guide to Use
Set your Market Type: Open the settings and choose your Price Change Anchor.
Use Pre-Market if you trade the morning "Gap and Go."
Use Regular Open if you are a day-trader focused on the 9:30 AM bell.
Configure Thresholds: Set your Min % Move (e.g., 1.5%) and Min 5m Vol.
Monitor the 7M Score: Look at the bottom row.
Score < 5: High-risk, no clear momentum.
Score 7+: High-probability "7M Pass" setup.
Alerts (Great with TV's Watchlist Alerts)
Right-click the chart and "Add Alert." Select the 7M Dashboard and choose the "🚀 7M PASS" condition to be notified the moment a ticker hits your momentum criteria.
Recommended Settings for Different Assets
Small-Cap Momentum Pre-Market - 4.0% (Change) - 500k (5m Vol) - 50M (Float)
Mega-Cap / Tech Regular - 1.0% (Change) - 1.5M (5m Vol) - 30,000M (Float)
Crypto Intraday Regular - 2.5% (Change) - 1M (5m Vol) - 10,000M (Foat)
Technical Details
Pine Script Version: v6
Visuals: Features a high-contrast UI with adaptive text sizing for the final 7M Score.
Alerting: Includes an optimized alert() function for real-time momentum detection.
Disclaimer
The "7M Multi-Factor Momentum Scoreboard" is a technical analysis tool provided for educational and informational purposes only. Nothing contained in this script, its outputs, or the 7M Score constitutes financial, investment, or trading advice. Trading stocks, futures, and cryptocurrencies involves significant risk of loss and is not suitable for every investor.
No Guarantees: Past performance as displayed by historical indicators is not indicative of future results.
Model Limitations: The 7M Score is based on mathematical calculations of price and volume; it does not account for fundamental news, earnings surprises, or broader macroeconomic shifts.
Personal Responsibility: You are solely responsible for your own trading decisions. Always perform your own due diligence and consult with a licensed financial advisor before putting capital at risk.
Current & Previous Candle H/LA visual tool that shows you the High and Low prices of:
The CURRENT candle (bar) being formed.
The PREVIOUS candle (the one that just closed).
1. Quick Price Reference
Instantly see exact High/Low levels without hovering over candles
Useful when placing orders near these levels
2. Support/Resistance Visualization
Previous High/Low often acts as resistance/support
Current High/Low shows where price is pushing
3. Breakout Trading
Helps identify when price breaks above previous High (bullish breakout)
Or below previous Low (bearish breakout)
4. Risk Management
Set stop-losses below previous Low or above previous High
Place take-profits near current High/Low extensions
DSROverview A mechanical scalping strategy designed for Gold (XAUUSD) on the 5-minute timeframe. This system visually simplifies price action into clear "Go" and "Stop" signals using a color-coded flow system.
SMART TRADERSMART TRADER is a hybrid trend-structure indicator designed to identify high-probability market regimes and precision entry zones by combining Donchian breakout logic with Smart Money Concepts (SMC).
The indicator uses a 200-candle Donchian channel to detect major regime shifts, filtering the market into bullish or bearish environments. After a confirmed shift, SMART TRADER automatically identifies order blocks and marks Change of Character (CHOCH) events to highlight potential continuation entries with structural confirmation.
This approach helps traders avoid consolidation noise and focus only on expansion phases where trends are statistically stronger.
Key features:
• 200-candle Donchian regime detection
• Automatic order block marking after regime shifts
• CHOCH structure labeling for entry timing
• Visual trend bias overlay
• Built-in alert conditions
• Optimized for the 45-minute timeframe
SMART TRADER is built for swing and intraday traders who want a structured framework that blends trend following with price action execution.
Created by Jonathan Mwendwa Ndunge.
