Strat + 50% Rule TheSTRAT, a niche yet popular trading strategy, was developed by Rob Smith over his 30-year career in the financial markets. The method is praised for its objectivity and systematic approach, while its complexity and unique perspective make it less widely understood. TheSTRAT is a multi-timeframe strategy that focuses on three primary components: Inside Bars, Directional Bars, and Outside Bars. The approach also emphasizes several key principles, including Full Time Frame Continuity, Broadening Formations, and the significance of Inside Bars. With the indicator you will see the numbers on the Bars, you will see the Previous day, week, month Highs and Lows. You will see the table displaying the lastest Strat Bars as well as the 50% rule retracement... If above the previous week 50% the dot will turn green and viceversa if the opposite is true.
Candlestick analysis
ZigZag with Day Count + Month Shading (Selectable) A clean ZigZag indicator that shows how long each trend lasts.
Each completed ZigZag leg is labeled with:
The number of days the trend lasted
The start and end dates (for example: 10th jan → 25th jan)
You can also:
Shade only the months you care about (each month can be turned on or off)
Add optional vertical lines at the start and end of each trend
Customize label size, colours, and transparency
This indicator is useful for understanding trend duration, timing, and seasonal behaviour at a glance.
Larry Williams Short-Term Swing (LWS)automated swing trading using larry williams
it identifies swing highs and swing lows while excluding volatility moves like outside or inside bars.
Can be used effectively by combining the indicator on 2 time frames and taking entry on smaller time frame when the signals allign
3-Candle Swing + Rejectionplotshape(swingHigh, title="Swing High", style=shape.triangleup, location=location.abovebar, color=color.red, size=size.tiny, offset=-1)
plotshape(swingLow, title="Swing Low", style=shape.triang
Tradovate Trades Overlay (CSV Import)This indicator, is a tool to visualize the past trades from a tradovate .csv file format in TradingView. A python code is commented in the file, which converts the .csv file into a format that TradingView can import. (for more details please read the header of the indicator)
Institutional Liquidity MapInstitutional Liquidity Map: Detailed Description
The Core Phi losophy: Mapping vs. Predicting
This indicator serves as a Microstructure Navigation System. Unlike retail indicators that rely on lagged mathematical formulas (like RSI or MACD), this tool identifies the areas of high-interest where institutional orders are clustered. It focuses on the mechanics of liquidity provision and rebalancing, allowing you to see where the "Smart Money" has left a footprint.
Key Modules & Institutional Meaning
Confirmed Liquidity (BSL & SSL): These are the structural anchors. They represent "Liquidity Pools" where retail stop-losses are heavily concentrated. Institutions drive price into these zones to generate the counter-party volume needed to fill their large positions.
Institutional Order Blocks (OB): This module identifies the exact candle where accumulation or distribution occurred. It specifically looks for displacement—a move so fast and strong that it confirms institutional intent rather than retail noise.
Fair Value Gaps (FVG) / Imbalances: When price moves too rapidly, it creates a "hole" in the price action where orders weren't fully matched. The market views these as inefficiencies; price is naturally drawn back to these zones to "rebalance" before continuing the trend.
Liquidity Sweeps (Stop Runs): This identifies the "Trap." It marks instances where price wicks past a confirmed high or low to trigger stops, only to close back within the range. This is often the precursor to a massive reversal.
Best Use Case Scenarios
1. The High-Probability "Confluence Cluster"
The most powerful way to use this indicator is by looking for the overlapping of modules.
The Scenario: You see a BSL Sweep occur at a Previous Day High, immediately followed by a Bearish Order Block and a Bearish FVG.
The Strategy : Use the FVG/OB zone as your "Sell Zone." This cluster indicates that institutions have trapped buyers at the high and are now aggressively pushing price lower.
2. Re-entry via "FVG Rebalancing"
When the market is in a strong trend (like your LINK screenshot), price often leaves gaps.
The Scenario: A strong impulsive move breaks structure, leaving an active FVG box.
The Strategy: Do not chase the candle. Wait for the indicator to show price returning to fill that box. This retest of the imbalance is often the safest entry point for trend continuation.
3. Target Selection using "Liquidity Pools"
Retail traders often set arbitrary take-profit targets (e.g., 2%). Institutional traders target Liquidity.
The Scenario: You are in a Short trade.
The Strategy: Look for the nearest Confirmed SSL (Sell-Side Liquidity) line. This is your target. Price is magnetically drawn to these levels because that is where the most sell-stops are located, providing the liquidity for you to exit your short (by buying back) with minimal slippage.
4. Daily Bias Anchor (Session VWAP)
Use the Session VWAP as your "Line in the Sand."
The Strategy: If price is above VWAP, only look for Bullish Order Blocks and SSL Sweeps. If price is below VWAP, prioritize Bearish Order Blocks and BSL Sweeps. This ensures you are always trading in alignment with the institutional "Fair Value" for the day.
Deep Early Pullback ScannerIdentifies high-probability early entry setups in trending stocks. It high lights small-bodied red pullback candles within an uptrend, signaling potential continuation moves before conventional UT Bot buy signal triggers
Hawks NY Midnight OpenPlots the New York Midnight Open price with configurable horizontal and vertical reference lines, session-based timing, and adjustable extensions.
Asia Range + OB Zones + AlertsTrail run of script built with chatgpt and clude to mark hhs lows and OB's
Anh Nga 6.0 Split (Dynamic + MACD + PC)The script **Anh Nga 6.0 Split** is a professional-grade TradingView strategy designed for high-precision trading (specifically optimized for Gold/XAUUSD). It combines trend-following, momentum oscillators, and multi-timeframe analysis with a built-in automation bridge for **PineConnector** (MT4/MT5).
Here is a breakdown of how the strategy works for users.
---
## 1. Core Logic: How it Triggers
The strategy uses a "filter-first" approach, meaning it only looks for trades when multiple conditions align:
* **Primary Signal:** Uses the **Wave Trend (WT)** oscillator. It looks for "Gold Crosses" (long) or "Death Crosses" (short) when momentum is at extreme levels.
* **Trend Filter:** A dual Moving Average system (Fast 70 / Slow 140). It only buys if the price is above both and sells if below both.
* **MACD MTF Filter:** A "Big Brother" check. It looks at the MACD histogram on the **15-minute** and **30-minute** timeframes to ensure you aren't trading against the higher-timeframe momentum.
* **Overextension Guard:** It calculates the distance from the Fast MA using **ATR**. If the price has "run too far" from the average, it skips the trade to avoid buying the top or selling the bottom.
---
## 2. The "Split" Execution (Advanced Sizing)
The strategy classifies trades into two quality tiers based on **Bollinger Band Zones**:
| Trade Type | Condition | Position Size |
| --- | --- | --- |
| **AAA Zone** | Price is close to the Basis (Mean) | **100%** of your base lot |
| **B Zone** | Price is slightly stretched | **80%** of your base lot |
**Automated Partial Exits:**
When a trade is entered, it splits the position into two orders:
1. **Partial Runner (65%):** Aimed at a closer "TP1" to lock in profits early.
2. **Final Runner (35%):** Aimed at the full Risk:Reward target.
* **Break-Even Logic:** Once the first target is hit, the script automatically sends a command to move the Stop Loss to the entry price (BE).
---
## 3. Risk Management & Guards
* **Reversal Guard:** Prevents "revenge trading" by enforcing a cooldown period (default 5 bars) after an exit before you can trade in the opposite direction.
* **Dynamic Stop Loss:** Uses a **Bollinger Band Multiplier (1.7x)** to place stops outside of immediate market noise.
* **Max SL Filter:** If the market is too volatile and the calculated Stop Loss is larger than your "Max SL Dollars" (e.g., $35), the strategy will skip the trade entirely.
---
## 4. PineConnector Automation
The script is pre-configured to talk to MetaTrader 4/5 via **PineConnector**.
* It generates formatted alert messages containing your **License ID**, **Magic Number**, and **Volume**.
* It handles `buy`, `sell`, `modify` (for Break-Even), and `closeall` commands automatically.
### Visual Guide
* **Teal Line:** Fast Moving Average ().
* **White Line:** Slow Moving Average ().
* **Green/Red Zones:** Visual "AAA" and "B" zones for entry quality.
* **Red/Green Lines:** Active Stop Loss and Take Profit levels currently being tracked.
---
FVG w/ Correlated ConfirmationThis Pine Script indicator detects Fair Value Gaps (FVGs) on your chart—price gaps between candles where no trading occurred, often signaling potential support or resistance zones. It highlights bullish FVGs (gap ups) and bearish FVGs (gap downs) as colored boxes directly on the chart. The indicator also optionally confirms these FVGs by checking if a correlated asset (e.g., NASDAQ:NDX) shows a similar FVG, increasing confidence. Midpoint lines inside the boxes can be displayed to mark the center of the gap.
Boxes are anchored to the exact candles where the FVG forms and extend rightwards by a user-defined number of bars, remaining fixed and not sliding as new bars form. Correlated FVGs add an extra layer of confirmation from related markets, improving reliability and reducing false signals.
stelaraX - Moving Average MultistelaraX – Multi MA
stelaraX – Multi MA is a flexible moving average indicator that allows the use of up to four independently configurable moving averages on a single chart. Each moving average can be customized by type, length, source, color, and line width, making the indicator suitable for a wide range of trading styles and timeframes.
The indicator is designed to provide a clear overview of trend direction, dynamic support and resistance, and moving average interactions.
Core logic
The script supports multiple moving average calculation methods:
* Simple Moving Average (SMA)
* Exponential Moving Average (EMA)
* Weighted Moving Average (WMA)
* Hull Moving Average (HMA)
* Volume Weighted Moving Average (VWMA)
* Running Moving Average (RMA)
Each of the four moving averages can be enabled or disabled individually and calculated from any price source.
Crossover signals
The indicator can generate crossover signals between any two selected moving averages:
* bullish crossover when the fast MA crosses above the slow MA
* bearish crossover when the fast MA crosses below the slow MA
Crossover signals are displayed directly on the chart using directional markers and can be enabled or disabled as needed.
MA cloud
An optional moving average cloud can be displayed between two selected moving averages:
* bullish cloud when the faster MA is above the slower MA
* bearish cloud when the faster MA is below the slower MA
Cloud colors and transparency are fully customizable.
Visualization
The indicator plots up to four moving average lines directly on the chart.
Additional visual features include:
* optional MA crossover markers
* optional moving average cloud
* optional bar coloring based on price position relative to selected moving averages
Bar colors reflect basic trend conditions when price is above or below selected averages.
Alerts
Alert conditions are available for:
* bullish and bearish moving average crossovers
* price crossing above or below selected moving averages
* price crossing above or below the long-term moving average
Alerts trigger only on confirmed crossover conditions.
Use case
This indicator is intended for:
* trend identification and confirmation
* moving average crossover strategies
* dynamic support and resistance analysis
* multi-timeframe trend alignment
* general market structure visualization
Disclaimer
This indicator is provided for educational and technical analysis purposes only and does not constitute financial advice or trading recommendations. All trading decisions and risk management remain the responsibility of the user.
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
3+ Consecutive Inside Candles Detectorlotshape(signal, title="Inside Candle Sequence", style=shape.labeldown,
text="Inside 3+", location=location.abovebar, color=color.new(color.blue, 0), size=size.tiny)
Avengers Pro V24.3 (Minervini Complete)"This strategy represents the ultimate synthesis of investment principles derived from the world’s greatest market masters. By meticulously integrating their proven methodologies into a single, cohesive framework, we have developed a comprehensive version that offers unparalleled versatility across both the Korean and U.S. stock markets."
Weekly Tightness Near EMA//@version=6
indicator("Weekly Tightness Near EMA", overlay=true)
// ===========================
// INPUT PARAMETERS
// ===========================
tightness_pct = input.float(3.0, "Tightness % Range", minval=0.1, maxval=10.0)
ema_proximity_pct = input.float(5.0, "EMA Proximity %", minval=0.5, maxval=15.0)
small_candle_pct = input.float(5.0, "Small Candle % (body)", minval=0.5, maxval=10.0)
show_ema10 = input.bool(true, "Show 10 Week EMA")
show_ema20 = input.bool(true, "Show 20 Week EMA")
show_signals = input.bool(true, "Show Tightness Signals")
// ===========================
// GET WEEKLY DATA
// ===========================
weekly_close = request.security(syminfo.tickerid, "W", close, barmerge.gaps_off, barmerge.lookahead_off)
weekly_open = request.security(syminfo.tickerid, "W", open, barmerge.gaps_off, barmerge.lookahead_off)
weekly_high = request.security(syminfo.tickerid, "W", high, barmerge.gaps_off, barmerge.lookahead_off)
weekly_low = request.security(syminfo.tickerid, "W", low, barmerge.gaps_off, barmerge.lookahead_off)
weekly_close_1 = request.security(syminfo.tickerid, "W", close , barmerge.gaps_off, barmerge.lookahead_off)
weekly_open_1 = request.security(syminfo.tickerid, "W", open , barmerge.gaps_off, barmerge.lookahead_off)
weekly_high_1 = request.security(syminfo.tickerid, "W", high , barmerge.gaps_off, barmerge.lookahead_off)
weekly_low_1 = request.security(syminfo.tickerid, "W", low , barmerge.gaps_off, barmerge.lookahead_off)
weekly_close_2 = request.security(syminfo.tickerid, "W", close , barmerge.gaps_off, barmerge.lookahead_off)
weekly_open_2 = request.security(syminfo.tickerid, "W", open , barmerge.gaps_off, barmerge.lookahead_off)
weekly_high_2 = request.security(syminfo.tickerid, "W", high , barmerge.gaps_off, barmerge.lookahead_off)
weekly_low_2 = request.security(syminfo.tickerid, "W", low , barmerge.gaps_off, barmerge.lookahead_off)
// Weekly EMAs
weekly_ema10 = request.security(syminfo.tickerid, "W", ta.ema(close, 10), barmerge.gaps_off, barmerge.lookahead_off)
weekly_ema20 = request.security(syminfo.tickerid, "W", ta.ema(close, 20), barmerge.gaps_off, barmerge.lookahead_off)
// ===========================
// CALCULATE CANDLE SIZE
// ===========================
// Calculate body size (close - open) as percentage of price
candle_body_0 = math.abs(weekly_close - weekly_open)
candle_body_1 = math.abs(weekly_close_1 - weekly_open_1)
candle_body_2 = math.abs(weekly_close_2 - weekly_open_2)
candle_body_pct_0 = (candle_body_0 / weekly_close) * 100
candle_body_pct_1 = (candle_body_1 / weekly_close_1) * 100
candle_body_pct_2 = (candle_body_2 / weekly_close_2) * 100
// Calculate full range (high - low) as percentage
candle_range_0 = weekly_high - weekly_low
candle_range_1 = weekly_high_1 - weekly_low_1
candle_range_2 = weekly_high_2 - weekly_low_2
candle_range_pct_0 = (candle_range_0 / weekly_close) * 100
candle_range_pct_1 = (candle_range_1 / weekly_close_1) * 100
candle_range_pct_2 = (candle_range_2 / weekly_close_2) * 100
// Check if all 3 candles are small
small_candle_0 = candle_body_pct_0 <= small_candle_pct
small_candle_1 = candle_body_pct_1 <= small_candle_pct
small_candle_2 = candle_body_pct_2 <= small_candle_pct
all_candles_small = small_candle_0 and small_candle_1 and small_candle_2
// Average candle body size
avg_candle_body = (candle_body_pct_0 + candle_body_pct_1 + candle_body_pct_2) / 3
avg_candle_range = (candle_range_pct_0 + candle_range_pct_1 + candle_range_pct_2) / 3
// ===========================
// CALCULATE TIGHTNESS
// ===========================
// Find highest and lowest of last 3 weekly closes
highest_close = math.max(weekly_close, weekly_close_1, weekly_close_2)
lowest_close = math.min(weekly_close, weekly_close_1, weekly_close_2)
// Calculate range percentage
close_range_pct = ((highest_close - lowest_close) / lowest_close) * 100
// Check if within tightness range
is_tight = close_range_pct <= tightness_pct
// ===========================
// CHECK PROXIMITY TO EMAs
// ===========================
// Distance from EMAs
dist_from_ema10_pct = math.abs((weekly_close - weekly_ema10) / weekly_ema10) * 100
dist_from_ema20_pct = math.abs((weekly_close - weekly_ema20) / weekly_ema20) * 100
// Near EMA conditions
near_ema10 = dist_from_ema10_pct <= ema_proximity_pct
near_ema20 = dist_from_ema20_pct <= ema_proximity_pct
near_any_ema = near_ema10 or near_ema20
// ===========================
// COMBINED SIGNAL (with small candles filter)
// ===========================
tightness_signal = is_tight and near_any_ema and all_candles_small
// ===========================
// PLOT EMAs
// ===========================
plot(show_ema10 ? weekly_ema10 : na, "10 Week EMA", color=color.new(color.blue, 0), linewidth=2)
plot(show_ema20 ? weekly_ema20 : na, "20 Week EMA", color=color.new(color.orange, 0), linewidth=2)
// ===========================
// PLOT SIGNALS
// ===========================
// Background color when tight and near EMA
bgcolor(show_signals and tightness_signal ? color.new(color.green, 90) : na, title="Tightness Signal")
// Plot signal markers
plotshape(show_signals and tightness_signal and not tightness_signal ,
title="Tightness Start",
location=location.belowbar,
color=color.new(color.green, 0),
style=shape.triangleup,
size=size.small,
text="TIGHT")
// ===========================
// DISPLAY TABLE
// ===========================
var table info_table = table.new(position.top_right, 2, 9,
border_width=1,
border_color=color.gray,
frame_width=1,
frame_color=color.gray)
if barstate.islast
// Header
table.cell(info_table, 0, 0, "Weekly Analysis", bgcolor=color.new(color.gray, 70), text_color=color.white, text_size=size.normal)
table.cell(info_table, 1, 0, "Status", bgcolor=color.new(color.gray, 70), text_color=color.white, text_size=size.normal)
// Average candle body size
candle_color = all_candles_small ? color.new(color.green, 85) : color.new(color.red, 85)
table.cell(info_table, 0, 1, "Avg Candle Body", bgcolor=candle_color, text_color=color.white, text_halign=text.align_left)
table.cell(info_table, 1, 1, str.tostring(avg_candle_body, "#.##") + "%", bgcolor=candle_color, text_color=color.white)
// Small candle threshold
table.cell(info_table, 0, 2, "Small Candle <", bgcolor=color.new(color.gray, 90), text_color=color.white, text_halign=text.align_left)
table.cell(info_table, 1, 2, str.tostring(small_candle_pct, "#.#") + "%", bgcolor=color.new(color.gray, 90), text_color=color.white)
// 3 Week Close Tightness
tight_color = is_tight ? color.new(color.green, 85) : color.new(color.red, 85)
table.cell(info_table, 0, 3, "3W Close Range", bgcolor=tight_color, text_color=color.white, text_halign=text.align_left)
table.cell(info_table, 1, 3, str.tostring(close_range_pct, "#.##") + "%", bgcolor=tight_color, text_color=color.white)
// Tightness threshold
table.cell(info_table, 0, 4, "Threshold", bgcolor=color.new(color.gray, 90), text_color=color.white, text_halign=text.align_left)
table.cell(info_table, 1, 4, "<" + str.tostring(tightness_pct, "#.#") + "%", bgcolor=color.new(color.gray, 90), text_color=color.white)
// Distance from 10W EMA
ema10_color = near_ema10 ? color.new(color.blue, 85) : color.new(color.gray, 85)
table.cell(info_table, 0, 5, "From 10W EMA", bgcolor=ema10_color, text_color=color.white, text_halign=text.align_left)
table.cell(info_table, 1, 5, str.tostring(dist_from_ema10_pct, "#.##") + "%", bgcolor=ema10_color, text_color=color.white)
// Distance from 20W EMA
ema20_color = near_ema20 ? color.new(color.orange, 85) : color.new(color.gray, 85)
table.cell(info_table, 0, 6, "From 20W EMA", bgcolor=ema20_color, text_color=color.white, text_halign=text.align_left)
table.cell(info_table, 1, 6, str.tostring(dist_from_ema20_pct, "#.##") + "%", bgcolor=ema20_color, text_color=color.white)
// Near EMA status
near_ema_color = near_any_ema ? color.new(color.green, 85) : color.new(color.red, 85)
near_ema_text = near_any_ema ? "✓ NEAR" : "✗ Far"
table.cell(info_table, 0, 7, "Near EMA", bgcolor=near_ema_color, text_color=color.white, text_halign=text.align_left)
table.cell(info_table, 1, 7, near_ema_text, bgcolor=near_ema_color, text_color=color.white)
// Combined signal
signal_color = tightness_signal ? color.new(color.lime, 70) : color.new(color.gray, 85)
signal_text = tightness_signal ? "🎯 SETUP!" : "No Setup"
table.cell(info_table, 0, 8, "SIGNAL", bgcolor=signal_color, text_color=color.white, text_halign=text.align_left, text_size=size.large)
table.cell(info_table, 1, 8, signal_text, bgcolor=signal_color, text_color=color.white, text_size=size.large)
// ===========================
// ALERTS
// ===========================
alertcondition(tightness_signal and not tightness_signal ,
title="Tightness Setup Alert",
message="Weekly setup detected: Small candles, tight closes, near EMA!")
Kinetic Resonance ScoreKRS indicator. Amalgamation of trend-following indicators for a clean interface. Please try and report.
Trend Strength + SSL Channel TableHOW TO READ THIS (POWERFUL COMBO)
Trend Strength = timing
SSL Channel = directional bias
Best trade conditions:
Bullish Trend + Strong/Medium + SSL Bullish
Bearish Trend + Strong/Medium + SSL Bearish
Avoid:
Exhaustion + SSL disagreement → chop / fakeouts
This table is now a high-quality trade filter, not just information.
Ultimate Open Marker with Time ZonesYour Ultimate Open Marker with Time Zones:
Preset Market Opens:
NY Open (9:30 AM ET) - default
London Open (8:00 AM GMT)
Frankfurt Open (9:00 AM CET)
Tokyo Open (9:00 AM JST)
Hong Kong Open (9:30 AM HKT)
Sydney Open (10:00 AM AEST)
Custom Time Zone Option:
18 major time zones to choose from:
Set any hour (0-23) and minute (0-59) for your custom open
Custom label text (e.g., "RTH Start", "Open", etc.)
Works on every timeframe including custom ones.
Marker Settings:
- Default: Sky blue flag with background highlight and time label for the NY open as default. You can change all that in the settings.
- Various marker shape options: Triangle, Diamond, Label Flag, Arrow Up/Down, Arrow this, Arrow that... So you can pick whatever annoys you the least lol
- Auto-positioning: above bear candles, below bull candles (default) - or always above/below
- 5 sizes from tiny to huge
- Vertical offset fine-tuning - you can move your marker closer to the bar if you like, or farther from it
Vertical Lines Options:
- Line ON the 9:30 bar
- Line BEFORE the 9:30 bar (so on 5min you'd see a line on 9:25, on 15min on 9:15, etc. - this way you can see the open candle well)
Time Label Option: Default "9:30 EST" label (customizable text, color, size)
Automatically shows the open time and timezone abbreviation
For custom: shows your label + time + timezone (e.g., "Open 9:30 AM ET")
Date Label Option: Four format options:
- MM/DD/YY (American)
- DD/MM/YY (European)
- DD Mon. 'YY (Written, like "04 Feb. '26")
- Mon DD, YYYY (Full)
Plus optional day of week (short or full)
Bonus: Background highlight option for the open bar
Let me know if you need any adjustments.
Thanks. : )






















