Supertrend Opposite Band Line Onlywhen super trend changes Trend , its important to wait for crossing the Price line of opposite Band so i have written this script . this will help you Traders for sure
Chart-Muster
Ripster Labels + Air Gaps (v6)What it shows (on one chart)
EMA Clouds (current timeframe)
Plots EMA 8/12/21/34/50/200 with three cloud fills:
12–21 = “fast” cloud
34–50 = “mid” cloud
50–200 = “base” cloud
Cloud color: green when the faster EMA is above the slower (bullish), red/maroon/orange when below (bearish).
Toggle lines vs. clouds via A) EMA Clouds settings.
MTF Rails (higher-TF EMAs)
For three higher timeframes (defaults 30m / 60m / 240m), draws two EMAs each (defaults 34 & 50).
These are stepline-like rails you can visually use as higher-TF supports/resistances.
Configure in B) MTF Rails (turn on/off, change TFs/lengths/colors).
Relative Volume Box (RVol)
Small table (top-center) showing:
Candle Vol (formatted K/M/B if enabled)
RVol = current bar volume / SMA 20 of volume (as a %)
Color scale: blue (<100%), yellow (100–150%), red (>150%).
Settings in C) RVol Box.
DTR vs ATR Box
Daily True Range (DTR = day high − day low) vs ATR(14) on the daily timeframe, with DTR as % of ATR.
Placed at top-right; toggle in D) DTR/ATR Box.
Ripster Trend Label (10m 12/50)
Looks at a separate timeframe (default 10m): EMA 12 vs EMA 50.
Bottom-right table cell shows “10m Trend ↑/↓/Sideways” (green/red/gray).
Configure in E) Ripster Trend Labels (TF and lengths).
Air Gaps (single EMA per TF)
Three horizontal, auto-extending lines showing an EMA from 30m / 60m / 240m (default length 12).
“Air gaps” are the price spaces between these lines—often lighter-resistance zones for price.
Start point logic:
All Bars = draw from the chart’s left
Start of Day = draw from today’s first bar
Bars Offset = draw from N bars back (default 100)
Settings in F) Air Gaps (TFs, length, draw-from, bars-back).
Inputs & where to tweak
A) EMA Clouds
Show EMA Clouds: master toggle
Source: close (default)
Lengths: 8/12/21/34/50/200
Show EMA lines: toggle plotted lines (clouds remain)
B) MTF Rails
Show MTF Rails
TF1/TF2/TF3 (defaults 30/60/240)
EMA A/B (defaults 34/50)
C) RVol Box
Show box
Format as K/M/B: K=1e3, M=1e6, B=1e9
D) DTR/ATR Box
Show DTR/ATR
ATR len: default 14 (daily)
E) Ripster Trend Labels
Show labels
Trend TF: default 10 (10-minute)
Trend EMA Fast/Slow: default 12/50
F) Air Gaps
Show Air Gap lines
TF1/TF2/TF3 (30/60/240)
EMA length: default 12
Draw from: All Bars | Start of Day | Bars Offset
Bars back: used if Draw from = Bars Offset
How it makes decisions
Cloud bias = sign of (faster EMA − slower EMA) for each cloud pair.
Example: 12>21 → fast cloud is bullish (green); 34>50 → mid cloud bullish (teal).
10m trend label = sign of (EMA12−EMA50) on the Trend TF (default 10m).
RVol = volume / sma(volume, 20); formatted as a percent and color-coded.
Practical read of the screen
Fast cloud flips (12/21) often mark short-term momentum changes; mid cloud flips (34/50) reflect swing bias.
Air Gap lines from higher TFs frequently act as support/resistance. Larger spaces between lines = “air gaps” where price can move with less friction.
RVol color tells you how “real” a move is: red/yellow often confirms momentum; blue warns of thin/liquidy bars.
DTR vs ATR shows if today’s range is stretched vs recent norm.
Design choices (why your prior errors are gone)
Removed multiline ?: chains → replaced by if/else (Pine v6 is picky about line continuations).
Moved fill() calls outside of local if blocks (Pine limitation).
ta.change(time("D")) != 0 makes the if condition boolean.
Declared G_drawFrom / G_barsBack before startX() so identifiers exist.
EMA Ribbon MozyMozy TRading
EMA Ribbons for short time frames on daily traders. Buy or sell during crosses
Previous Day High-LowIt will show Previous Day High-Low. This will create two horizontal lines automatically updated each day, marking yesterday’s high and low levels clearly on any intraday chart.
黄金专用LPPL特征检测(Log-Periodic Power Law Singularity)专门用于黄金走势的LPPL检测,在技术分析中,LPPL 奇点指的是对数周期幂律奇异性(Log-Periodic Power Law Singularity),它是对数周期幂律模型(LPPL)中的一个关键概念。以下是关于它的详细介绍:
提出者及背景:LPPL 模型是由研究市场泡沫的先驱者、物理学家迪迪埃・索尔内特(Didier Sornette)等人提出的。该模型结合了理性预期泡沫的经济理论、投资者的模仿和羊群行为的行为金融学以及分岔和相变的数学统计物理学,用于检测金融市场中的泡沫和预测市场转折点。
模型原理:LPPL 模型假设当市场出现泡沫时,资产价格会呈现出一种特殊的波动模式,这种模式由正反馈机制驱动。在泡沫形成过程中,投资者的模仿和跟风行为导致市场参与者的一致性和协同性急剧上升,价格出现 “快于指数” 的增长,同时伴随着加速的对数周期振荡。而 LPPL 奇点就是价格增长和振荡达到极限的那个有限时间点,在这个点之前,价格增长越来越快,振荡频率也越来越高,当到达奇点时,泡沫破裂,市场往往会出现急剧的反转和崩盘。
数学表达:LPPL 模型的数学公式较为复杂,其原始形式提出了一个由 3 个线性参数和 4 个非线性参数组成的函数。通过将这个函数与对数价格时间序列进行拟合,可以估计出模型的参数,进而确定奇点的时间位置等信息。
在金融市场中的应用:LPPL 模型及其中的奇点概念主要用于检测金融市场中的泡沫和预测市场的崩溃点。例如,在 2008 年石油价格泡沫和 2009 年上海股市泡沫等事件中,该模型都被用于分析和预测市场的转折点。不过,该模型也存在一定的局限性,比如对奇点具体点位的预测误差较大,而且市场情况复杂多变,可能会有强大的外力干扰等因素影响模型的准确性。
The LPPL model was proposed by physicist Didier Sornette, a pioneer in the study of market bubbles, and others. The model combines the economic theory of rational expectations bubbles, behavioral finance on investor imitation and herding behavior, and the mathematical statistical physics of bifurcations and phase transitions to detect bubbles in financial markets and predict market turning points.
Model Principle: The LPPL model posits that when a market bubble forms, asset prices exhibit a distinctive pattern of fluctuation driven by a positive feedback mechanism. During the bubble's formation, investors' imitation and bandwagon-following behavior lead to a sharp increase in consistency and coordination among market participants, resulting in "faster-than-exponential" price growth accompanied by accelerating logarithmic-periodic oscillations. The LPPL singularity is the finite point in time where price growth and oscillation reach their limits. Prior to this point, prices grow increasingly faster, and the frequency of oscillations increases. When the singularity is reached, the bubble bursts, and the market often experiences a sharp reversal and crash.
Real Relative Strength Breakout & BreakdownReal Relative Strength Breakout & Breakdown Indicator
What It Does
Identifies high-probability trading setups by combining:
Technical Breakouts/Breakdowns - Price breaking support/resistance zones
Real Relative Strength (RRS) - Volatility-adjusted performance vs benchmark (SPY)
Key Insight: The strongest signals occur when price action contradicts market direction—breakouts during market weakness or breakdowns during market strength show exceptional buying/selling pressure.
Real Relative Strength (RRS) Calculation
RRS measures outperformance/underperformance on a volatility-adjusted basis:
Power Index = (Benchmark Price Move) / (Benchmark ATR)
RRS = (Stock Price Move - Power Index × Stock ATR) / Stock ATR
RRS (smoothed) = 3-period SMA of RRS
Interpretation:
RRS > 0 = Relative Strength (outperforming)
RRS < 0 = Relative Weakness (underperforming)
Signal Types
🟢 Large Green Triangle (Premium Long)
Condition: Breakout + RRS > 0
Meaning: Stock breaking resistance WHILE outperforming benchmark
Best when: Market is weak but stock breaks out anyway = exceptional strength
Use: High-conviction long entries
🔵 Small Blue Triangle (Standard Breakout)
Condition: Breakout + RRS ≤ 0
Meaning: Breaking resistance but underperforming benchmark
Typical: "Rising tide lifts all boats" scenario during market rally
Use: Lower conviction—may just be following market
🟠 Large Orange Triangle (Premium Short)
Condition: Breakdown + RRS < 0
Meaning: Stock breaking support WHILE underperforming benchmark
Best when: Market is strong but stock breaks down anyway = severe weakness
Use: High-conviction short entries
🔴 Small Red Triangle (Standard Breakdown)
Condition: Breakdown + RRS ≥ 0
Meaning: Breaking support but outperforming benchmark
Typical: Stock falling less than market during selloff
Use: Lower conviction—may recover when market does
Why Large Triangles Matter
Large signals show divergence = genuine institutional flow:
Stock breaking out while market falls → Aggressive buying despite headwinds
Stock breaking down while market rallies → Aggressive selling despite tailwinds
These setups reveal where real conviction lies, not just momentum-following behavior.
Quick Settings
RRS: 12-period lookback, 3-bar smoothing, vs SPY
Breakouts: 5-period pivots, 200-bar lookback, 3% zone width, 2 minimum tests
Asia Range Breakout Table (Narrowness)
Asia Range Breakout Table (Narrowness)
Overview
The Asia Range Breakout Table (Narrowness) is a professional trading tool designed to analyze and display range characteristics across key Asian trading sessions. This indicator provides real-time visual feedback on market range narrowness, helping traders identify potential breakout opportunities based on historical range comparisons. Better to use in M5 or M15 timeframe.
Key Features
- Multi-Session Analysis : Tracks 6 crucial Asian market sessions:
- ORB Pre (Tokyo Pre-open)
- ORB First (Tokyo First)
- Sydney Box
- Tokyo Launch Box
- 2nd Session Pre-Open
- 2nd ORB (Tokyo 2nd Session)
- Historical Comparison : Compares current session ranges against 44 days of historical data
- Visual Color Coding :
- 🟢 Narrowest (<10%) - Extremely compressed ranges
- 🟢 Narrow (10-59%) - Below average ranges
- 🟣 Normal (60-79%) - Typical range behavior
- 🔴 Wide (≥80%) - Expanded range conditions
- Customizable Display : Adjustable table position and text size
- Session Toggle : Enable/disable individual sessions based on your trading focus
How It Works
The indicator calculates the high-low range for each defined session and ranks it against historical data using percentile analysis. This helps traders quickly identify:
- Unusually narrow ranges that may indicate impending breakouts
- Expanded ranges suggesting increased volatility
- Normal range behavior for context
Use Cases
- Breakout Trading : Identify sessions with compressed ranges for potential breakout setups
- Volatility Assessment : Gauge market conditions across different Asian sessions
- Session Analysis : Understand range behavior during specific market hours
- Risk Management : Adjust position sizing based on range characteristics
Input Parameters
- Session Toggles : Enable/disable individual session tracking
- Table Position : Choose from four corner positions
- Text Size : Adjust table readability (Tiny, Small, Normal, Big)
Ideal For
- Asian session traders
- Breakout strategy enthusiasts
- Volatility analysis
- Multi-timeframe analysts
- Professional and retail traders focusing on Asian markets
Disclaimer
This tool is for educational and informational purposes only. Past performance is not indicative of future results. Always conduct your own research and risk management before trading.
Narrowing Range Predictor - EnhancedNarrowing Range Predictor - draws triangles and beaks from the price action. Recommended to play around with settings.
Narrowing Range PredictorNarrowing Range Indicator with several configurables. Recommended to play around with customised settings.
Momentum-Based Fair Value Gaps [BackQuant]Momentum-Based Fair Value Gaps
A precision tool that detects Fair Value Gaps and color-codes each zone by momentum, so you can quickly tell which imbalances matter, which are likely to fill, and which may power continuation.
What is a Fair Value Gap
A Fair Value Gap is a 3-candle price imbalance that forms when the middle candle expands fast enough that it leaves a void between candle 1 and candle 3.
Bullish FVG : low > high . This marks a bullish imbalance left beneath price.
Bearish FVG : high < low . This marks a bearish imbalance left above price.
These zones often act as magnets for mean reversion or as fuel for trend continuation when price respects the gap boundary and runs.
Why add momentum
Not all gaps are equal. This script measures momentum with RSI on your chosen source and paints each FVG with a momentum heatmap. Strong-momentum gaps are more likely to hold or propel continuation. Weak-momentum gaps are more likely to fill.
Core Features
Auto FVG Detection with size filters in percent of price.
Momentum Heatmap per gap using RSI with smoothing. Multiple palettes: Gradient, Discrete, Simple, and scientific schemes like Viridis, Plasma, Inferno, Magma, Cividis, Turbo, Jet, plus Red-Green and Blue-White-Red.
Bull and Bear Modes with independent toggles.
Extend Until Filled : keep drawing live to the right until price fully fills the gap.
Auto Remove Filled for a clean chart.
Optional Labels showing the smoothed RSI value stored at the gap’s birth.
RSI-based Filters : only accept bullish gaps when RSI is oversold and bearish gaps when RSI is overbought.
Performance Controls : cap how many FVGs to keep on chart.
Alerts : new bullish or bearish FVG, filled FVG, and extreme RSI FVGs.
How it works
Source for Momentum : choose Returns, Close, or Volume.
Returns computes percent change over a short lookback to focus on impulse quality.
RSI and Smoothing : RSI length and a small SMA smooth the signal to stabilize the color coding.
Gap Scan : each bar checks for a 3-candle bullish or bearish imbalance that also clears your minimum size filter in percent of price.
Heatmap Color : the gap is painted at creation with a color from your palette based on the smoothed RSI value, preserving the momentum signature that formed it.
Lifecycle : if Extend Unfilled is on, the zone projects forward until price fully trades through the far edge. If Auto Remove is on, a filled gap is deleted immediately.
How to use it
Scan for structure : turn on both bullish and bearish FVGs. Start with a moderate Min FVG Size percent to reduce noise. You will see stacked clusters in trends and scattered singletons in chop.
Read the colors : brighter or stronger palette values imply stronger momentum at gap formation. Weakly colored gaps are lower conviction.
Decide bias : bullish FVGs below price suggest demand footprints. Bearish FVGs above price suggest supply footprints. Use the heatmap and RSI value to rank importance.
Choose your playbook :
Mean reversion : target partial or full fills of opposing FVGs that were created on weak momentum or that sit against higher timeframe context.
Trend continuation : look for price to respect the near edge of a strong-momentum FVG, then break away in the direction of the original impulse.
Manage risk : in continuation ideas, invalidation often sits beyond the opposite edge of the active FVG. In reversion ideas, invalidation sits beyond the gap that should attract price.
Two trade playbooks
Continuation - Buy the hold of a bullish FVG
Context uptrend.
A bullish FVG prints with strong RSI color.
Price revisits the top of the gap, holds, and rotates up. Enter on hold or first higher low inside or just above the gap.
Invalidation: below the gap bottom. Targets: prior swing, measured move, or next LV area.
Reversion - Fade a weak bearish FVG toward fill
Context range or fading trend.
A bearish FVG prints with weak RSI color near a completed move.
Price fails to accelerate lower and rotates back into the gap.
Enter toward mid-gap with confirmation.
Invalidation: above gap top. Target: opposite edge for a full fill, or the gap midline for partials.
Key settings
Max FVG Display : memory cap to keep charts fast. Try 30 to 60 on intraday.
Min FVG Size % : sets a quality floor. Start near 0.20 to 0.50 on liquid markets.
RSI Length and Smooth : 14 and 3 are balanced. Increase length for higher timeframe stability.
RSI Source :
Returns : most sensitive to true momentum bursts
Close : traditional.
Volume : uses raw volume impulses to judge footprint strength.
Filter by RSI Extremes : tighten rules so only the most stretched gaps print as signals.
Heatmap Style and Palette : pick a palette with good contrast for your background. Gradient for continuous feel, Discrete for quick zoning, Simple for binary, Palette for scientific schemes.
Extend Unfilled - Auto Remove : choose live projection and cleanup behavior to match your workflow.
Reading the chart
Bullish zones sit beneath price. Respect and hold of the upper boundary suggests demand. Strong green or warm palette tones indicate impulse quality.
Bearish zones sit above price. Respect and hold of the lower boundary suggests supply. Strong red or cool palette tones indicate impulse quality.
Stacking : multiple same-direction gaps stacked in a trend create ladders. Ladders often act as stepping stones for continuation.
Overlapping : opposing gaps overlapping in a small region usually mark a battle zone. Expect chop until one side is absorbed.
Workflow tips
Map higher timeframe trend first. Use lower timeframe FVGs for entries aligned with the higher timeframe bias.
Increase Min FVG Size percent and RSI length for noisy symbols.
Use labels when learning to correlate the RSI numbers with your palette colors.
Combine with VWAP or moving averages for confluence at FVG edges.
If you see repeated fills and refills of the same zone, treat that area as fair value and avoid chasing.
Alerts included
New Bullish FVG
New Bearish FVG
Bullish FVG Filled
Bearish FVG Filled
Extreme Oversold FVG - bullish
Extreme Overbought FVG - bearish
Practical defaults
RSI Length 14, Smooth 3, Source Returns.
Min FVG Size 0.25 percent on liquid majors.
Heatmap Style Gradient, Palette Viridis or Turbo for contrast.
Extend Unfilled on, Auto Remove on for a clean live map.
Notes
This tool does not predict the future. It maps imbalances and momentum so you can frame trades with clearer context, cleaner invalidation, and better ranking of which gaps matter. Use it with risk control and in combination with your broader process.
GR ML kNN-based Strategy A machine-learning-driven trading strategy built around the k-Nearest Neighbors (kNN) algorithm — designed, tuned, and tested by GR.
This system studies recent price behavior and indicator patterns to predict the probability of the next move (up, down, or neutral) and only trades when multiple confirmations align. It combines data-driven signals with strict market-structure filters for maximum precision.
(SPY to ES) ETF→Futures Multi-Level (10 Levels + Select All)Converts selected ETF levels (SPY or QQQ) into equivalent futures levels (ES or NQ).
Uses live price ratio between ETF and futures for real-time level translation.
Supports 10 independent levels (A–J) with user-defined ETF price inputs.
Provides checkboxes to toggle each level’s visibility or show all at once.
Applies smoothing (ta.sma) to reduce noise from short-term price movement.
Lets user customize each line’s color, width, and style (solid, dashed, dotted).
Automatically updates lines as new bars form without user interaction.
Uses persistent line objects to keep levels stable when scrolling or zooming.
Adapts to either SPY→ES or QQQ→NQ depending on the “Convert SPY?” toggle.
Draws clean horizontal lines without legend clutter for visual precision.
SOME ONE PUBLISHED THIS FUNCTIONALITY FOR A CHARGE SO I MADE IT FREE.
-rA
EMA/VWAP/Volume/MACD指标// === 控制输出 ===
macd_plot_line = show_macd ? macd_line : na
macd_signal_plot = show_macd ? signal_line : na
macd_hist_plot = show_macd ? hist_line : na
adx_plot_line = show_adx ? adx : na
plusdi_plot_line = show_adx ? diplus : na
minusdi_plot_line = show_adx ? diminus : na
// === 绘制 MACD ===
plot(macd_plot_line, title="MACD Line", color=color.new(color.aqua, 0))
plot(macd_signal_plot, title="Signal Line", color=color.new(color.orange, 0))
plot(macd_hist_plot, title="Histogram", style=plot.style_columns,
color=macd_hist_plot >= 0 ? color.new(color.green, 0) : color.new(color.red, 0))
🚀 Ultimate Trading Tool + Strat Method🚀 Ultimate Trading Tool + Strat Method - Complete Breakdown
Let me give you a comprehensive overview of this powerful indicator!
🎯 What This Indicator Does:
This is a professional-grade, all-in-one trading system that combines two proven methodologies:
1️⃣ Technical Analysis System (Original)
Advanced trend detection using multiple EMAs
Momentum analysis with MACD
RSI multi-timeframe analysis
Volume surge detection
Automated trendline drawing
2️⃣ Strat Method (Pattern Recognition)
Inside bars, outside bars, directional bars
Classic patterns: 2-2, 1-2-2
Advanced patterns: 3-1-2, 2-1-2, F2→3
Timeframe continuity filters
📊 How It Generates Signals:
Technical Analysis Signals (Green/Red Triangles):
Buy Signal Triggers When:
✅ Price above EMA 21 & 50 (uptrend)
✅ MACD histogram rising (momentum)
✅ RSI between 30-70 (not overbought/oversold)
✅ Volume surge above 20-period average
✅ Price breaks above resistance trendline
Scoring System:
Trend alignment: +1 point
Momentum: +1 point
RSI favorable: +1 point
Trendline breakout: +2 points
Minimum score required based on sensitivity setting
Strat Method Signals (Blue/Orange Labels):
Pattern Recognition:
2-2 Setup: Down bar → Up bar (or reverse)
1-2-2 Setup: Inside bar → Down bar → Up bar
3-1-2 Setup: Outside bar → Inside bar → Up bar
2-1-2 Setup: Down bar → Inside bar → Up bar
F2→3 Setup: Failed directional bar becomes outside bar
Confirmation Required:
Must break previous bar's high (buy) or low (sell)
Optional timeframe continuity (daily & weekly aligned)
💰 Risk Management Features:
Dynamic Stop Loss & Take Profit:
ATR-Based: Adapts to market volatility
Stop Loss: Entry - (ATR × 1.5) by default
Take Profit: Entry + (ATR × 3.0) by default
Risk:Reward: Customizable 1:2 to 1:5 ratios
Visual Risk Zones:
Colored boxes show risk/reward area
Dark, bold lines for easy identification
Clear entry, stop, and target levels
🎨 What You See On Screen:
Main Signals:
🟢 Green Triangle "BUY" - Technical analysis long signal
🔴 Red Triangle "SELL" - Technical analysis short signal
🎯 Blue Label "STRAT" - Strat method long signal
🎯 Orange Label "STRAT" - Strat method short signal
Trendlines:
Green lines - Support trendlines (bullish)
Red lines - Resistance trendlines (bearish)
Automatically drawn from pivot points
Extended forward to predict future levels
Stop/Target Levels:
Bold crosses at stop loss levels (red color)
Bold crosses at take profit levels (green color)
Line width = 3 for maximum visibility
Trade Zones:
Light green boxes - Long trade risk/reward zone
Light red boxes - Short trade risk/reward zone
Shows potential profit vs risk visually
📊 Information Dashboard (Top Right):
Shows real-time market conditions:
Main Signal: Current technical signal status
Strat Method: Active Strat pattern
Trend: Bullish/Bearish/Neutral
Momentum: Strong/Weak based on MACD
Volume: High/Normal compared to average
TF Continuity: Daily/Weekly alignment
RSI: Current RSI value with color coding
Support/Resistance: Current trendline levels
🔔 Alert System:
Entry Alerts:
Technical Signals:
🚀 BUY SIGNAL TRIGGERED!
Type: Technical Analysis
Entry: 45.23
Stop: 43.87
Target: 48.95
```
**Strat Signals:**
```
🎯 STRAT BUY TRIGGER!
Pattern: 3-1-2
Entry: 45.23
Trigger Level: 44.56
Exit Alerts:
Target hit notifications
Stop loss hit warnings
Helps maintain discipline
⚙️ Customization Options:
Signal Settings:
Sensitivity: High/Medium/Low (controls how many signals)
Volume Filter: Require volume surge or not
Momentum Filter: Require momentum confirmation
Strat Settings:
TF Continuity: Require daily/weekly alignment
Pattern Selection: Enable/disable specific patterns
Confirmation Mode: Show only confirmed triggers
Risk Settings:
ATR Multiplier: Adjust stop/target distance
Risk:Reward: Set preferred ratio
Visual Elements: Show/hide any component
Visual Settings:
Colors: Customize all signal colors
Display Options: Toggle signals, levels, zones
Trendline Length: Adjust pivot detection period
🎯 Best Use Cases:
Day Trading:
Use low sensitivity setting
Enable all Strat patterns
Watch for high volume signals
Quick in/out trades
Swing Trading:
Use medium sensitivity
Require timeframe continuity
Focus on trendline breakouts
Hold for target levels
Position Trading:
Use high sensitivity (fewer signals)
Require strong momentum
Focus on weekly/daily alignment
Larger ATR multipliers
💡 Trading Strategy Tips:
High-Probability Setups:
Double Confirmation: Technical + Strat signal together
Trend Alignment: All timeframes agree
Volume Surge: Institutional participation
Trendline Break: Clear level breakout
Risk Management:
Always use stops - System provides them
Position sizing - Risk 1-2% per trade
Don't chase - Wait for signal confirmation
Take profits - System provides targets
What Makes Signals Strong:
✅ Both technical AND Strat signals fire together
✅ Timeframe continuity (daily & weekly aligned)
✅ Volume surge confirms institutional interest
✅ Multiple indicators align (trend + momentum + RSI)
✅ Clean trendline breakout with no resistance above (or support below)
⚠️ Common Mistakes to Avoid:
Don't ignore stops - System calculates them for a reason
Don't overtrade - Wait for quality setups
Don't disable volume filter - Unless you know what you're doing
Don't use max sensitivity - You'll get too many signals
Don't ignore timeframe continuity - It filters bad trades
🚀 Why This Indicator is Powerful:
Combines Multiple Edge Sources:
Technical analysis (trend, momentum, volume)
Pattern recognition (Strat method)
Risk management (dynamic stops/targets)
Market structure (trendlines, support/resistance)
Professional Features:
No repainting - signals are final when bar closes
Clear risk/reward before entry
Multiple confirmation layers
Adaptable to any market or timeframe
Beginner Friendly:
Clear visual signals
Automatic calculations
Built-in risk management
Comprehensive dashboard
This indicator essentially gives you everything a professional trader uses - trend analysis, momentum, patterns, volume, risk management - all in one clean package!
Any specific aspect you'd like me to explain in more detail? 🎯RetryClaude can make mistakes. Please double-check responses. Sonnet 4.5
Swing Points & Liquidity — ENHANCED PRO (Dark/Light Mode)This indicator — “Swing Points & Liquidity — ENHANCED PRO (Dark/Light Mode)” — automatically detects and visualizes swing highs, swing lows, and liquidity levels on the chart with rich analytics and customizable visuals.
🔍 Core Features
Smart Swing Detection: Identifies pivot highs/lows based on adjustable left/right bar settings.
Liquidity Visualization: Draws dynamic boxes and lines for liquidity pools and swing zones.
Volume & OI Integration: Filters and colors levels using volume and Open Interest Δ (change).
Strength Meter: Highlights strong liquidity levels with color gradients based on OI + volume intensity.
Automatic Trendlines: Connects swing points with selectable style and width.
Fibonacci Mapping: Automatically projects fib retracements (23.6%, 38.2%, 50%, 61.8%, 78.6%) from swing-to-swing for confluence zones.
Statistics Panel: Displays live metrics — total levels, active/filled count, success rate, and average strength.
Alerts System: Alerts for new swing formations and when price touches or breaks a level.
Multi-Timeframe Option: Analyze swing structures from higher timeframes on any chart.
Dual Theme Mode: Fully optimized for both Dark and Light interface preferences.
⚙️ Advanced Options
Adjustable lookback range
Hide or extend filled levels
Configurable volume and OI thresholds
Supports multiple OI data sources (Binance, BitMEX, Kraken)
Fully dynamic text, color, and label alignment settings
💡 Use Case
Perfect for Smart Money Concept (SMC) and ICT-style analysis, liquidity sweeps, and swing-based trading.
Traders can quickly visualize where liquidity sits, track how it gets filled, and monitor structure shifts in real time.
⚡ Elite Momentum Pro🎯 Key Features
1. Smart Signal Engine
3 Signal Modes: Aggressive, Balanced, Conservative
7-Point Scoring System - Ensures high-quality signals
Anti-Flip Protection - Prevents rapid signal changes
Multiple confirmations: Supertrend, MACD, RSI, EMA alignment, momentum
2. Advanced Risk Management
3 Take Profit Levels (TP1, TP2, TP3) for scaling out
ATR-Based Dynamic Stops - Adapts to volatility
Customizable Risk:Reward (default 2.5:1)
Visual stop and target levels
3. Clean Visual Design
Color-coded price bars based on trend strength
EMA Ribbon (9, 21, 50, 200) for trend clarity
Price Change x% from Prior CloseThis indicator identifies candles where price moved a specified percentage below the prior candle's Close price.
The script plots a gray bar at the threshold price for each candle and a green up-arrow for candles where the price crosses below the threshold price.
The Threshold Price Percentage can be set in the indicator settings window.
MACD-V with RSI Gradient## Overview
MACD-V is a volatility-adjusted momentum indicator that normalizes MACD using ATR. This version adds a dynamic RSI-based background gradient to highlight momentum zones visually.
## Features
- **MACD-V Line**: EMA-based momentum normalized by ATR
- **Signal Line**: EMA of MACD-V
- **Histogram**: Color-coded based on slope and polarity
- **RSI Gradient Background**: Shading from bright green (RSI > 75) to bright red (RSI < 30), with intermediate tones for momentum context
## Use Case
Designed for 30-minute oil futures charts, this indicator helps identify:
- Trend strength and reversals
- Momentum zones using RSI shading
- Pullback opportunities and exhaustion zones
## Inputs
- Fast EMA (default: 12)
- Slow EMA (default: 26)
- Signal EMA (default: 9)
- ATR Length (default: 26)
## Notes
- RSI shading is purely visual—no alerts are wired in yet
- Histogram renders behind MACD-V and Signal lines for clarity
- Colors are tuned for dark charts
## Credits
The MACD-v is an indicator created in 2015 by Alex Spiroglou
and presented to the public in 2022
as a paper called: "𝗠𝗔𝗖𝗗-𝘃: 𝗩𝗼𝗹𝗮𝘁𝗶𝗹𝗶𝘁𝘆 𝗡𝗼𝗿𝗺𝗮𝗹𝗶𝘀𝗲𝗱 𝗠𝗼𝗺𝗲𝗻𝘁𝘂𝗺"
It received the following Awards:
1. “𝐅𝐨𝐮𝐧𝐝𝐞𝐫𝐬 𝐀𝐰𝐚𝐫𝐝” (2022),
for advances in Active Investment Management
from the National Association of Active Investment Managers (NAAIM)
2. “𝐂𝐡𝐚𝐫𝐥𝐞𝐬 𝐇. 𝐃𝐨𝐰 𝐀𝐰𝐚𝐫𝐝” (2022)
for outstanding research in Technical Analysis,
from the Chartered Market Technicians Association (CMTA)
The RSI Gradient was my idea, but quite frankly, if I go looking around I suppose I'll find that others had the same idea.
This is the first time I've ever published any code, so if I stepped on anyone's toes. I'm sorry.
We Buy / We Sell - #TheStrat SignalsWe Buy / We Sell - #TheStrat SignalsDescription
This indicator is inspired by the #TheStrat methodology from Rob Smith, designed to identify high-probability "We Buy" (bullish) and "We Sell" (bearish) signals for trading stocks, ETFs, or futures like AMEX:SPY or $VSAT. It combines price action reversal patterns, higher timeframe continuity (HTFC), and optional broadening formation (BF) breaks to time entries with market momentum. Key Features: We Buy Signals: Triggered on a 2d-2u reversal (bearish to bullish candle) when the higher timeframe (HTF) is bullish (green) and optionally at a BF bottom (pivot low break). Labeled as "We Buy" at the candle’s low with a green triangle.
We Sell Signals: Triggered on a 2u-2d reversal (bullish to bearish candle) when the HTF is bearish (red) and optionally at a BF top (pivot high break). Labeled as "We Sell" at the candle’s high with a red triangle.
Candle Numbering: Displays #TheStrat candle types (1=Inside, 2u=Up, 2d=Down, 3=Outside) for context.
Debug Labels: Enabled by default, showing why signals don’t fire (e.g., "No HTFC Buy" if HTF isn’t bullish).
Partial Signals: Optional faint circles for 2d-2u or 2u-2d reversals (without HTFC/BF), disabled by default.
HTFC Background: Green (HTF bullish) or red (HTF bearish) background for timeframe alignment.
How It Works
Based on #TheStrat, the indicator seeks evidence of aggressive buying ("We Buy") or selling ("We Sell") by analyzing: Reversal Patterns: 2d-2u (We Buy): A bearish directional candle (2d) followed by a bullish directional candle (2u), signaling a potential bullish reversal.
2u-2d (We Sell): A bullish directional candle (2u) followed by a bearish directional candle (2d), signaling a potential bearish reversal.
Higher Timeframe Continuity (HTFC): We Buy requires the HTF (e.g., 1H or Daily) to close above its open (bullish).
We Sell requires the HTF to close below its open (bearish).
Broadening Formation (BF): Optional pivot high/low breaks approximate BF extremes (tops for We Sell, bottoms for We Buy).
Can be disabled (use_bf=false) for more frequent signals.
How to Use Setup: Apply to a 5min chart of a liquid asset (e.g., AMEX:SPY , NASDAQ:VSAT ) for intraday trading, or higher timeframes for swing trading.
Ensure sufficient chart history (TradingView > Chart Settings > Max Bars > 1000+).
Settings: Higher Timeframe (htf): Default "60" (1H). Try "15" (15min) for faster signals or "D" (Daily) for swing trades.
Pivot Lookback Length (pivot_len): Default 3. Lower to 1 for more signals, higher for stricter BF breaks.
Require Broadening Formation (use_bf): Default true. Set to false to skip BF checks, increasing signal frequency.
Show We Buy/We Sell Labels: Default true. Shows "We Buy" or "We Sell" on signal candles.
Show Candle Numbers: Default true. Displays 1/2u/2d/3 for #TheStrat context.
Show Debug Labels: Default true. Shows "No HTFC Buy", "No BF Buy", etc., to diagnose missing signals.
Show Partial Signals: Default false. Enable to show faint circles for 2d-2u/2u-2d reversals without HTFC/BF.
Trading: We Buy: Enter long on a green "We Buy" label (with triangle). Set stops below the signal candle’s low. Target BF highs or resistance.
We Sell: Enter short on a red "We Sell" label (with triangle). Set stops above the signal candle’s high. Target BF lows or support.
Use debug labels to understand why signals don’t fire (e.g., "No HTFC Buy" means HTF isn’t bullish).
Partial signals (faint circles) indicate reversals without full conditions, useful for discretionary setups.
Alerts: Right-click the indicator > "Add Alert" on we_buy or we_sell for real-time notifications.
Tips Best Assets: Use on liquid tickers like AMEX:SPY , NASDAQ:QQQ , or NASDAQ:VSAT , as seen in @AlexsOptions
’ examples.
Volatility: Signals are more frequent in trending or volatile markets. Check historical periods (e.g., September 2025) for testing.
Risk Management: Always use stops (e.g., 1-2% risk per trade) and validate signals with market context (e.g., sector/index alignment).
Learning #TheStrat: Study Rob Smith’s #TheStrat for deeper understanding of candle types and FTFC.
Troubleshooting No Signals? Check debug labels (e.g., "No HTFC Buy" means HTF isn’t bullish). Adjust htf (e.g., "15" or "D").
Set use_bf=false or lower pivot_len to 1 for more signals.
Ensure reversals (2d-2u or 2u-2d) are present (check candle numbers).
Test on volatile periods or liquid tickers.
No Partial Signals? Enable show_partial in settings to see faint circles for 2d-2u/2u-2d reversals.
Confirm reversal patterns exist (e.g., "2d" → "2u" in candle numbers).
Wyckoff Accumulation / Distribution Detector (v3)🌱 Spring (Bullish Wyckoff Signature)
🧠 Definition
A Spring happens when price dips below a well-defined support level, usually near the end of an accumulation phase, then quickly reverses back above support.
This is not ordinary volatility — it's usually intentional by large operators (“Composite Man”) to:
Trigger stop-losses of weak holders
Create the illusion of a breakdown to scare late sellers in
Absorb all remaining supply at low prices
Launch the next markup leg once weak hands are flushed out
🧭 Typical Spring Characteristics
Feature Behavior
Location Near the bottom of a trading range after a decline
Price Action Temporary breakdown below support, then sharp reversal above
Volume Usually low to average on the break, indicating lack of real selling pressure. Sometimes a volume surge on the reversal as strong hands step in
Candle Often shows a long lower wick, closes back inside the range
Intent Shakeout of weak holders, allow institutions to accumulate more quietly
📈 Why It's Bullish
Springs typically mark the final test of supply. If price can dip below support and immediately recover, it means:
Selling pressure is exhausted (no follow-through)
Strong hands are absorbing remaining shares
A bullish breakout is often imminent
🪤 Upthrust (Bearish Wyckoff Signature)
🧠 Definition
An Upthrust is the mirror image of a Spring. It happens when price pokes above a resistance level, usually near the end of a distribution phase, but then fails to hold above it and falls back inside the range.
This is typically smart money distributing to eager buyers:
Late breakout traders pile in
Institutions sell into that strength
Price collapses back into the range, trapping breakout buyers
🧭 Typical Upthrust Characteristics
Feature Behavior
Location Near the top of a trading range after a rally
Price Action Temporary breakout above resistance, then quick reversal down
Volume Frequently low on the breakout, suggesting a lack of real buying interest — or sometimes high but with no progress, showing hidden selling
Candle Often shows a long upper wick, closes back inside the range
Intent Trap breakout buyers, provide liquidity for institutional sellers to unload near highs
📉 Why It's Bearish
Upthrusts show demand failure and supply swamping:
Buyers cannot sustain the breakout.
The sharp reversal signals large players are exiting.
Typically precedes markdown phases or sharp declines.
📝 Trading Implications
Spring → Often followed by a sign of strength rally → good long entry if confirmed with volume expansion and follow-through.
Upthrust → Often followed by a sign of weakness → short setups, especially if the next rally fails at lower highs.
The script looks for:
🌱 Spring:
Price makes a low below recent pivot support,
Closes back above,
Does so on low volume → likely a shakeout.
🪤 Upthrust:
Price makes a high above recent pivot resistance,
Closes back below,
On low volume → likely a bull trap.
ADIL_TREND// ===== NOTES =====
// - This indicator tracks an internal position state (inLong / inShort). These are NOT actual executed trades — they are used only to decide when to show exit/cover markers.
// - Long entry requires anchored VWAP condition; short entry ignores VWAP per your earlier spec.
// - Exit / Cover markers are generated only on the single bar that meets the exit condition while the corresponding position is open.
ATR-BHEEM-NOCHANGE-CANDLESCandles remain normal — removed barcolor(barCol)
ATR trailing stop line still shows trend direction (green/red)
Optional buy/sell labels added only when trend flips
Clean and ready for intraday 1-min charts