GC Checklist Signals (All TF, v6 • SR-safe • Clean blocks)GC (COMEX Gold) checklist strategy with a 3:1 reward-to-risk to your training bot. It enforces the following rules:
Heiken Ashi chart logic for color, wicks, and doji detection
100-EMA filter (only buys above / sells below)
Market structure: higher-low above EMA for buys; lower-high below EMA for sells (simple pivot check)
Clean pullback: at least 2 opposite-color candles; clean = no top wicks (buys) / no bottom wicks (sells)
Entry: on high-volume doji (body ≤ ~12% of range and volume ≥ last 1–3 candles), as soon as it closes
Stops: sell = above doji high; buy = below doji low
Cari dalam skrip untuk "entry"
GC Checklist Signals (All Timeframes, v6)GC (COMEX Gold) checklist strategy with a 3:1 reward-to-risk to your training bot. It enforces your rules:
Heiken Ashi chart logic for color, wicks, and doji detection
100-EMA filter (only buys above / sells below)
Market structure: higher-low above EMA for buys; lower-high below EMA for sells (simple pivot check)
Clean pullback: at least 2 opposite-color candles; clean = no top wicks (buys) / no bottom wicks (sells)
Entry: on high-volume doji (body ≤ ~12% of range and volume ≥ last 1–3 candles), as soon as it closes
Stops: sell = above doji high; buy = below doji low
SPPO - Statistical Price Position OscillatorSPPO - Statistical Price Position Oscillator
=== INDICATOR OVERVIEW ===
The Statistical Price Position Oscillator (SPPO) is an innovative technical analysis tool built on rigorous statistical principles. Unlike traditional oscillators that rely on fixed periods or subjective thresholds, SPPO uses dynamic statistical modeling to assess where current prices stand within their historical distribution.
=== KEY FEATURES ===
• Statistical Foundation: Based on normal distribution theory and Z-Score standardization
• Dynamic Parameter Adjustment: Automatically adapts to market volatility conditions
• Probability Quantification: Provides objective probability assessments for price levels
• Multi-Layer Visual System: Six layers of information encoding (line position, color intensity, line width, background, histogram, data panel)
• Professional Color Schemes: Multiple themes optimized for different trading environments
• Real-time Risk Assessment: Quantifies the statistical significance of current price positions
=== CORE COMPONENTS ===
1. SPPO Main Line
- Represents the standardized price position (Z-Score × Sensitivity)
- Dynamic line width: Normal (2px) for |Z| ≤ 1.0, Bold (6px) for extreme deviations
- Color coding: Neutral (gray) for normal range, Orange/Yellow for moderate deviation, Blue/Purple for extreme deviation
2. SPPO Histogram (Momentum Bars)
- Measures the momentum of statistical deviation, not price momentum
- Calculated as: (Current Z-Score - EMA of Z-Score) × Sensitivity
- Helps identify momentum divergences and trend continuation/reversal signals
3. Intelligent Data Panel
- Real-time display of key statistical metrics
- Shows: Price Position, Z-Score, Probability, Momentum, Deviation Classification, Market Regime
- Dynamic parameter display for transparency
4. Adaptive Background System
- Visual representation of market regimes
- Color intensity based on statistical significance
- Helps quickly identify extreme market conditions
=== PARAMETER SETTINGS ===
Core Parameters:
• Distribution Period (30-120, default 50): Statistical calculation window based on Central Limit Theorem
• Range Evaluation Period (10-100, default 14): Price range assessment window
• Position Sensitivity (0.5-4.0, default 2.5): Indicator responsiveness factor
• Probability Threshold (0.01-0.2, default 0.03): Signal trigger threshold
Confidence Intervals:
• 1σ Confidence (60%-75%, default 68%): Normal range boundary
• 2σ Confidence (90%-98%, default 95%): Significant deviation boundary
• 3σ Confidence (99.5%-99.9%, default 99.7%): Extreme deviation boundary
Dynamic Adjustment:
• Enable Dynamic Adjustment: Automatically optimizes parameters based on market volatility
• Volatility Lookback (10-50, default 10): Period for volatility assessment
• Dynamic Sensitivity Multiplier (0.5-3.0, default 1.5): Volatility-based sensitivity adjustment
=== MATHEMATICAL FOUNDATION ===
SPPO is built on several key mathematical concepts:
1. Z-Score Standardization: Z = (X - μ) / σ
Where X = current price, μ = mean, σ = standard deviation
2. Normal Distribution Theory: Assumes prices follow normal distribution within rolling windows
3. Probability Density Function: PDF(z) = e^(-z²/2) / √(2π)
4. Cumulative Distribution Function: Approximates tail probabilities for extreme events
5. Dynamic Parameter Optimization: Adjusts calculation parameters based on market volatility percentiles
=== TRADING APPLICATIONS ===
1. Mean Reversion Strategy
- Entry: SPPO > +8 or < -8 with probability < 5%
- Confirmation: Momentum histogram showing divergence
- Exit: SPPO returns to ±3 range
2. Trend Confirmation
- Trend continuation: SPPO and histogram aligned
- Trend exhaustion: Extreme SPPO with weakening histogram
- Breakout validation: SPPO breaking confidence intervals with volume
3. Risk Management
- Position sizing based on probability inverse
- Stop-loss when SPPO extends beyond ±12
- Take-profit at statistical mean reversion levels
=== MARKET REGIME CLASSIFICATION ===
• Normal Range (|SPPO| < 3): Trend-following strategies preferred
• Moderate Deviation (3 < |SPPO| < 8): Cautious mean reversion with partial positions
• Extreme Deviation (|SPPO| > 8): Aggressive mean reversion with strict risk management
=== TIMEFRAME RECOMMENDATIONS ===
• Short-term Trading (30-50 period): Intraday scalping, high sensitivity
• Medium-term Analysis (50-80 period): Swing trading, balanced sensitivity
• Long-term Trends (80-120 period): Position trading, statistical stability focus
=== UNIQUE ADVANTAGES ===
1. Objective Signal Generation: Every signal backed by statistical probability
2. Self-Adaptive System: Automatically adjusts to changing market conditions
3. Multi-Dimensional Information: Six layers of visual information in single indicator
4. Universal Application: Works across all markets and timeframes
5. Risk Quantification: Provides probability-based risk assessment
6. Professional Visualization: Institutional-grade color schemes and data presentation
=== TECHNICAL SPECIFICATIONS ===
• Pine Script Version: v6 compatible
• Maximum Bars Back: 500 (optimized for performance)
• Calculation Efficiency: Incremental updates with caching
• Memory Management: Dynamic array sizing with intelligent cleanup
• Rendering Optimization: Conditional rendering to reduce resource consumption
=== ALERT CONDITIONS ===
• Extreme Probability Alert: Triggered when probability < extreme threshold
• Buy Signal Alert: Statistical mean reversion buy conditions met
• Sell Signal Alert: Statistical mean reversion sell conditions met
• High Volatility Alert: Market enters high volatility regime (>90th percentile)
=== COMPATIBILITY ===
• Asset Classes: Stocks, Forex, Commodities, Cryptocurrencies, Indices
• Timeframes: All standard timeframes (1m to 1M)
• Market Sessions: 24/7 markets and traditional market hours
• Data Requirements: Minimum 120 bars for optimal statistical accuracy
=== PERFORMANCE OPTIMIZATION ===
• Efficient Algorithms: Uses Pine Script built-in functions for optimal speed
• Memory Management: Limited historical data caching to prevent overflow
• Rendering Optimization: Layered rendering system reduces redraw overhead
• Precision Balance: Optimized balance between calculation accuracy and performance
=== RISK DISCLAIMER ===
SPPO is a statistical analysis tool designed to assist in market analysis. While based on rigorous mathematical principles, it should not be used as the sole basis for trading decisions. Always combine SPPO analysis with:
• Fundamental analysis
• Risk management practices
• Market context awareness
• Position sizing discipline
Past performance does not guarantee future results. Trading involves substantial risk of loss.
=== SUPPORT AND DOCUMENTATION ===
For detailed technical documentation, implementation examples, and advanced strategies, please refer to the comprehensive SPPO Technical Documentation included with this indicator.
=== VERSION INFORMATION ===
Current Version: 2.0
Last Updated: 2024
Compatibility: Pine Script v6
Author:
=== CONCLUSION ===
SPPO represents a significant advancement in technical analysis, bringing institutional-grade statistical modeling to retail traders. Its combination of mathematical rigor, adaptive intelligence, and professional visualization makes it an invaluable tool for traders seeking objective, probability-based market analysis.
The indicator's unique approach to quantifying price position within statistical distributions provides traders with unprecedented insight into market extremes and mean reversion opportunities, while its self-adaptive nature ensures consistent performance across varying market conditions.
SPPO - Statistical Price Position OscillatorSPPO - Statistical Price Position Oscillator
=== INDICATOR OVERVIEW ===
The Statistical Price Position Oscillator (SPPO) is an innovative technical analysis tool built on rigorous statistical principles. Unlike traditional oscillators that rely on fixed periods or subjective thresholds, SPPO uses dynamic statistical modeling to assess where current prices stand within their historical distribution.
=== KEY FEATURES ===
• Statistical Foundation: Based on normal distribution theory and Z-Score standardization
• Dynamic Parameter Adjustment: Automatically adapts to market volatility conditions
• Probability Quantification: Provides objective probability assessments for price levels
• Multi-Layer Visual System: Six layers of information encoding (line position, color intensity, line width, background, histogram, data panel)
• Professional Color Schemes: Multiple themes optimized for different trading environments
• Real-time Risk Assessment: Quantifies the statistical significance of current price positions
=== CORE COMPONENTS ===
1. SPPO Main Line
- Represents the standardized price position (Z-Score × Sensitivity)
- Dynamic line width: Normal (2px) for |Z| ≤ 1.0, Bold (6px) for extreme deviations
- Color coding: Neutral (gray) for normal range, Orange/Yellow for moderate deviation, Blue/Purple for extreme deviation
2. SPPO Histogram (Momentum Bars)
- Measures the momentum of statistical deviation, not price momentum
- Calculated as: (Current Z-Score - EMA of Z-Score) × Sensitivity
- Helps identify momentum divergences and trend continuation/reversal signals
3. Intelligent Data Panel
- Real-time display of key statistical metrics
- Shows: Price Position, Z-Score, Probability, Momentum, Deviation Classification, Market Regime
- Dynamic parameter display for transparency
4. Adaptive Background System
- Visual representation of market regimes
- Color intensity based on statistical significance
- Helps quickly identify extreme market conditions
=== PARAMETER SETTINGS ===
Core Parameters:
• Distribution Period (30-120, default 50): Statistical calculation window based on Central Limit Theorem
• Range Evaluation Period (10-100, default 14): Price range assessment window
• Position Sensitivity (0.5-4.0, default 2.5): Indicator responsiveness factor
• Probability Threshold (0.01-0.2, default 0.03): Signal trigger threshold
Confidence Intervals:
• 1σ Confidence (60%-75%, default 68%): Normal range boundary
• 2σ Confidence (90%-98%, default 95%): Significant deviation boundary
• 3σ Confidence (99.5%-99.9%, default 99.7%): Extreme deviation boundary
Dynamic Adjustment:
• Enable Dynamic Adjustment: Automatically optimizes parameters based on market volatility
• Volatility Lookback (10-50, default 10): Period for volatility assessment
• Dynamic Sensitivity Multiplier (0.5-3.0, default 1.5): Volatility-based sensitivity adjustment
=== MATHEMATICAL FOUNDATION ===
SPPO is built on several key mathematical concepts:
1. Z-Score Standardization: Z = (X - μ) / σ
Where X = current price, μ = mean, σ = standard deviation
2. Normal Distribution Theory: Assumes prices follow normal distribution within rolling windows
3. Probability Density Function: PDF(z) = e^(-z²/2) / √(2π)
4. Cumulative Distribution Function: Approximates tail probabilities for extreme events
5. Dynamic Parameter Optimization: Adjusts calculation parameters based on market volatility percentiles
=== TRADING APPLICATIONS ===
1. Mean Reversion Strategy
- Entry: SPPO > +8 or < -8 with probability < 5%
- Confirmation: Momentum histogram showing divergence
- Exit: SPPO returns to ±3 range
2. Trend Confirmation
- Trend continuation: SPPO and histogram aligned
- Trend exhaustion: Extreme SPPO with weakening histogram
- Breakout validation: SPPO breaking confidence intervals with volume
3. Risk Management
- Position sizing based on probability inverse
- Stop-loss when SPPO extends beyond ±12
- Take-profit at statistical mean reversion levels
=== MARKET REGIME CLASSIFICATION ===
• Normal Range (|SPPO| < 3): Trend-following strategies preferred
• Moderate Deviation (3 < |SPPO| < 8): Cautious mean reversion with partial positions
• Extreme Deviation (|SPPO| > 8): Aggressive mean reversion with strict risk management
=== TIMEFRAME RECOMMENDATIONS ===
• Short-term Trading (30-50 period): Intraday scalping, high sensitivity
• Medium-term Analysis (50-80 period): Swing trading, balanced sensitivity
• Long-term Trends (80-120 period): Position trading, statistical stability focus
=== UNIQUE ADVANTAGES ===
1. Objective Signal Generation: Every signal backed by statistical probability
2. Self-Adaptive System: Automatically adjusts to changing market conditions
3. Multi-Dimensional Information: Six layers of visual information in single indicator
4. Universal Application: Works across all markets and timeframes
5. Risk Quantification: Provides probability-based risk assessment
6. Professional Visualization: Institutional-grade color schemes and data presentation
=== TECHNICAL SPECIFICATIONS ===
• Pine Script Version: v6 compatible
• Maximum Bars Back: 500 (optimized for performance)
• Calculation Efficiency: Incremental updates with caching
• Memory Management: Dynamic array sizing with intelligent cleanup
• Rendering Optimization: Conditional rendering to reduce resource consumption
=== ALERT CONDITIONS ===
• Extreme Probability Alert: Triggered when probability < extreme threshold
• Buy Signal Alert: Statistical mean reversion buy conditions met
• Sell Signal Alert: Statistical mean reversion sell conditions met
• High Volatility Alert: Market enters high volatility regime (>90th percentile)
=== COMPATIBILITY ===
• Asset Classes: Stocks, Forex, Commodities, Cryptocurrencies, Indices
• Timeframes: All standard timeframes (1m to 1M)
• Market Sessions: 24/7 markets and traditional market hours
• Data Requirements: Minimum 120 bars for optimal statistical accuracy
=== PERFORMANCE OPTIMIZATION ===
• Efficient Algorithms: Uses Pine Script built-in functions for optimal speed
• Memory Management: Limited historical data caching to prevent overflow
• Rendering Optimization: Layered rendering system reduces redraw overhead
• Precision Balance: Optimized balance between calculation accuracy and performance
=== RISK DISCLAIMER ===
SPPO is a statistical analysis tool designed to assist in market analysis. While based on rigorous mathematical principles, it should not be used as the sole basis for trading decisions. Always combine SPPO analysis with:
• Fundamental analysis
• Risk management practices
• Market context awareness
• Position sizing discipline
Past performance does not guarantee future results. Trading involves substantial risk of loss.
=== SUPPORT AND DOCUMENTATION ===
For detailed technical documentation, implementation examples, and advanced strategies, please refer to the comprehensive SPPO Technical Documentation included with this indicator.
=== VERSION INFORMATION ===
Current Version: 2.0
Last Updated: 2024
Compatibility: Pine Script v6
Author:
=== CONCLUSION ===
SPPO represents a significant advancement in technical analysis, bringing institutional-grade statistical modeling to retail traders. Its combination of mathematical rigor, adaptive intelligence, and professional visualization makes it an invaluable tool for traders seeking objective, probability-based market analysis.
The indicator's unique approach to quantifying price position within statistical distributions provides traders with unprecedented insight into market extremes and mean reversion opportunities, while its self-adaptive nature ensures consistent performance across varying market conditions.
Custom Buy/Sell Pattern BuilderAre you tired of using trading indicators that only let you follow fixed, pre-designed rules? Do you wish you could build your own “Buy” or “Sell” signals, experiment with your own ideas, or see instantly if your unique pattern works—without learning coding or hiring a developer?
The Custom Buy/Sell Pattern Builder is designed for YOU.
This TradingView indicator lets ANY trader—even a complete beginner—define exactly what kind of price and volume conditions should create a BUY or SELL label on any chart, in any market, at any timeframe.
You don’t need to know programming. You don’t need to know the definition of a hammer, doji, volume spike, or Engulfing pattern.
With a few clicks and easy dropdown choices, you can:
Make your own rules for buying or selling
Choose how many candles your pattern should look at
Decide if you want the biggest body, the lowest volume, the biggest movement, or any combination you can imagine
The result?
You’ll see clear “BUY” or “SELL” labels automatically show up on your chart whenever the exact rule YOU built matches current price action.
No more guessing. No more forced strategies. Just pure control and visual feedback!
Why Is This Powerful?
Traditional indicators (like MACD, RSI, or even classic candlestick scanners) work the same for everyone—and only as their inventors defined.
But every trader, and every market, is unique.
What if you could say:
“Show me a ‘SELL’ every time the newest candle is bigger than the one before, but with LESS volume, while the bar before that had an even smaller body—but more volume than all others?”
With this tool, it’s EASY!
You simply pick which candle you want to compare (most recent, previous, etc), what to compare (body or volume—body means the candle’s “thickness”, from open to close), choose “greater than”, “less than”, or “equal to”, and set a multiplier if you want (like “half as much”, “twice as big”, etc).
After this, if any bar on the chart fits all your rules, it will mark it as a BUY or SELL, depending on your selection.
This means—
Beginners can start experimenting with their intuition or small ideas, without tech hurdles
Experienced traders can visualize and fine-tune any possible logic, before they commit to backtesting or automating a real strategy
Every “what if” or “I wonder” setup is just 2–3 clicks away
How Does It Work? Simple Steps
1. Choose Your Signal Type
“Buy” or “Sell”
This tells the indicator whether to mark the qualifying bars with a green “BUY” or red “SELL” label
2. Pick How Many Candles To Use
“Pattern Candle Count” input (2, 3, or 4)
Example: If you use 4, the pattern will be applied to the most recent 4 candles at every step
3. Define Your Pattern With Inputs
For each candle (from newest “0” to oldest “3”), you can set:
Body Condition (example: “is this candle’s body bigger/smaller/equal to another?”)
Pick which candle to compare against
Pick “>”, “<”, “>=”, “<=”, or “=”
Set a multiplier if needed (like “0.5” to mean “half as big as” or “2” for “twice as big as”)
Volume Condition (exact same choices, but based on trading volume—not the candle’s price body)
For example:
“Candle0 Body > Candle2 Body”
means “the latest candle’s real-body (open–close) is bigger than the one two bars ago.”
“Candle1 Volume <= Candle2 Volume”
means “the previous candle’s volume is less than or equal to the volume of the bar two periods ago.”
You can leave a comparison blank if you don’t want to use it for a particular candle.
What Happens After You Set Your Rules?
Every bar on your chart is checked for your logic:
If ALL body AND volume conditions are true (for each candle you specified),
AND
The signal side (“Buy” or “Sell”) matches your dropdown,
Then a green “BUY” or red “SELL” label will show right on the bar, so you can visually spot exactly where your logic works!
Practical Example:
Suppose you want an entry setup that is:
“Sell whenever the newest candle’s body is bigger than two bars ago, body before that is bigger than three bars ago, AND the newest candle’s volume is less than or equal to two bars ago, AND the candle three bars ago’s volume is less than or equal to half the candle two bars ago’s volume.”
You’d set:
Pattern Candle Count: 4
Side: Sell
Candle0 Body Ref#: 2, Op: >, Mult: 1
Candle1 Body Ref#: 3, Op: >, Mult: 1
Candle0 Vol Ref#: 2, Op: <=, Mult: 1
Candle3 Vol Ref#: 2, Op: <=, Mult: 0.5
And the script will find all “SELL” bars on your chart matching these conditions.
Inputs Section: What Does Each Setting Do?
Let’s break down each input in the indicator’s Settings one by one, so even if you’re new, you’ll understand exactly how to use it!
1. Pattern Candle Count (2–4)
What is it?
This sets how many candles in a row you want your rule to look at.
Example:
“4” means your rules are based on the most recent candle and the 3 before it.
“2” means you are only comparing the current and previous candles.
Tip:
Beginners often use 4 to spot stronger patterns, but you can experiment!
2. Signal Side
What is it?
Choose “Buy” or “Sell”. The word you pick here decides which colored label (green for Buy, red for Sell) appears if your pattern matches.
Example:
Want to spot where “Sell” is likely? Pick “Sell”.
Change to “Buy” if you want bullish signals instead.
3. Body & Volume Comparison Settings (per Candle)
For each candle (#0 is newest/current, #3 is oldest in your pattern window):
Body Comparison
Candle# Body Ref#
Choose which other candle you want to compare this one’s body to.
“0” = newest, “1” = previous, “2” = two bars ago, “3” = three bars ago
Candle# Body Op (Operator; >, <, >=, <=, =)
How do you want to compare?
“>” means “greater than” (is bigger than)
“<” means “less than” (is smaller than)
“=” means “equal to”
Candle# Body Mult (Multiplier)
If you want relative comparisons. For example, with Mult=1:
“Candle0 body > Candle2 body x 1” means just “0 is larger than 2.”
“Candle0 body > Candle2 body x 2” means “0 is more than double 2.”
Volume Comparison
Candle# Vol Ref# / Op / Mult
Exact same logic as body, but works on the “Volume” of each candle (how much was traded during that bar).
How to Set Up a Rule (Step by Step Example)
Say you want to mark a Sell every time:
The most recent candle’s real body is BIGGER than the candle 2 bars ago;
The previous candle’s body is also BIGGER than the candle 3 bars ago;
The current candle’s volume is LESS than or equal to the volume of candle 2;
The previous candle’s volume is LESS than or equal to candle 2’s volume;
The candle 3 bars ago’s volume is LESS than or equal to HALF candle 2’s volume.
You’d set:
Pattern Candle Count: 4
Side: "Sell"
Candle0 Body Ref#: 2, Op: “>”, Mult: 1
Candle1 Body Ref#: 3, Op: “>”, Mult: 1
Candle0 Vol Ref#: 2, Op: “<=”, Mult: 1
Candle1 Vol Ref#: 2, Op: “<=”, Mult: 1
Candle3 Vol Ref#: 2, Op: “<=”, Mult: 0.5
All other comparisons (operators) can be left blank if you don’t want to use them!
When these rules are met, a bright red “SELL” label will appear right above the bar matching all your conditions.
Practical Tips & FAQ for Beginners
What does “body” mean?
It’s the “true range” of the candle: the difference between open and close. This ignores wicks for simple setups.
What does “volume” mean?
This is the total trading activity during that candle/bar. Many traders believe that patterns with different volume “meaning” (such as low-volume up bars, or high-volume down bars) signal a meaningful change.
What if nothing shows on chart?
It just means your current rules are rarely or never matched! Try making your comparisons simpler (maybe just 2-body and 2-volume conditions to start).
You can always hit “Reset Settings” to go back to default.
Can I use this for both buying and selling?
YES! You can detect both bullish (Buy) and bearish (Sell) custom conditions; just switch “Signal Side.”
Do I need to know coding?
Not at all! Everything is in simple input panels.
Creative Use Cases, Example Recipes & Troubleshooting
Creative Ways to Use
Spotting Reversals
Example:
Buy when: the newest candle body is LARGER than the previous 3 bars, but ALL volumes are lower than their neighbors.
Why? Sometimes, a big candle with surprisingly low volume after a sequence of small bars can signal a reversal.
Finding Exhaustion Moves
Example:
Sell when: the current bar body is twice as big as two bars ago, but volume is half.
Why? A very big candle with very little volume compared to similar bars may show the move is “running out of steam.”
Custom “Breakout + Confirmation” Patterns
Example:
Buy when:
Candle 0’s body is greater than Candle 2’s by at least 1.5x,
Candle 0’s volume is greater than Candle 1 and Candle 2,
Candle 1’s volume is less than Candle 0.
Why? This could catch strong breakouts but filter out noisy moves.
Multi-bar Bias/Squeeze Filter
Use “Pattern Candle Count: 4”
Set all 4 volume conditions to “<” and each reference to the previous candle.
Now, a BUY or SELL only marks when each bar is “dryer”/less active than the last — a classic squeeze or low-volatility buildup.
Troubleshooting Guide
“I don’t see any Buy/Sell label; is something broken?”
Most likely, your rules are too strict or rare! Try using only two comparisons and leave other “Op” inputs blank as a test.
Double-check you have enough candles on the chart: you need at least as many bars as your pattern count.
“Why does a label appear but not where I expect?”
Remember, the script checks your rules for every NEW candle. The candle “0” is always the most recent, then “1” is one bar back, etc.
Check the color and type chosen: “Signal Side” must be “Buy” for green, “Sell” for red.
“What if I want a more complex pattern?”
Stack conditions! You can demand the body/volume of each candle in your window meet a different rule or all follow the same rule in sequence.
Mini Glossary — For Newcomers
Candle/Bar: Each bar on the chart, shows price movement during a fixed time (e.g., one minute, one hour, one day).
Body: The colored (or filled) part of the candle — the open-to-close price range.
Volume: How much of the asset was actually traded that candle/bar.
Reference Index: When you pick “2” as a reference, it means “the candle two bars ago in the pattern window.”
Operator (“Op”): The math symbol used to compare (>, <, =, etc).
Signal Side: Whether you want to highlight bullish (“Buy”) or bearish (“Sell”) bars.
Tips for Getting More Value
Start Simple—try just one or two conditions at first. See what lights up. Slowly add more logic as you get comfortable.
Watch the chart live as you change settings. The labels update instantly—this makes strategy design fast and visual!
Try flipping your ideas: If a certain pattern doesn’t work for buys, try reversing the direction for possible “sell” setups.
Remember: There is NO wrong idea. This indicator is only limited by your creativity—it’s a “strategy playground.”
Example Quick-Start Recipes
Classic Sell:
4 candles, side = Sell
Candle0 Body > Candle2; Candle1 Body > Candle3
Candle0 Vol <= Candle2; Candle1 Vol <= Candle2; Candle3 Vol <= Candle2 × 0.5
Simple Buy After Pause:
3 candles, side = Buy
Candle0 Body > Candle1; Candle0 Vol > Candle1
All other Ops blank
Low-Volume Pullback for Entry:
4 candles, side = Buy
Candle0 Body > Candle2
Candle0 Vol < Candle1; Candle1 Vol < Candle2; Candle2 Vol < Candle3
Final Words
Think of this as your “pattern lab.” No code, no guesswork—just experiment, see what the market actually gives, and design your own visual rulebook.
If you’re stuck, reset the script to defaults—it’s always safe to start again!
If you want more ready-made “recipes” for different strategies/styles, just ask and I’ll send some more setups for you.
Happy building—and may your edge always be YOUR edge!
Deadband Hysteresis Supertrend [BackQuant]Deadband Hysteresis Supertrend
A two-stage trend tool that first filters price with a deadband baseline, then runs a Supertrend around that baseline with optional flip hysteresis and ATR-based adverse exits.
What this is
A hybrid of two ideas:
Deadband Hysteresis Baseline that only advances when price pulls far enough from the baseline to matter. This suppresses micro noise and gives you a stable centerline.
Supertrend bands wrapped around that baseline instead of raw price. Flips are further gated by an extra margin so side changes are more deliberate.
The goal is fewer whipsaws in chop and clearer regime identification during trends.
How it works (high level)
Deadband step — compute a per-bar “deadband” size from one of four modes: ATR, Percent of price, Ticks, or Points. If price deviates from the baseline by more than this amount, move the baseline forward by a fraction of the excess. If not, hold the line.
Centered Supertrend — build upper and lower bands around the baseline using ATR and a user factor. Track the usual trailing logic that tightens a band while price moves in its favor.
Flip hysteresis — require price to exceed the active band by an extra flip offset × ATR before switching sides. This adds stickiness at the boundary.
Adverse exit — once a side is taken, trigger an exit if price moves against the entry by K × ATR .
If you would like to check out the filter by itself:
What it plots
DBHF baseline (optional) as a smooth centerline.
DBHF Supertrend as the active trailing band.
Candle coloring by trend side for quick read.
Signal markers 𝕃 and 𝕊 at flips plus ✖ on adverse exits.
Inputs that matter
Price Source — series being filtered. Close is typical. HL2 or HLC3 can be steadier.
Deadband mode — ATR, Percent, Ticks, or Points. This defines the “it’s big enough to matter” zone.
ATR Length / Mult (DBHF) — only used when mode = ATR. Larger values widen the do-nothing zone.
Percent / Ticks / Points — alternatives to ATR; pick what fits your market’s convention.
Enter Mult — scales the deadband you must clear before the baseline moves. Increase to filter more noise.
Response — fraction of the excess applied to baseline movement. Higher responds faster; lower is smoother.
Supertrend ATR Period & Factor — traditional band size controls; higher factor widens and flips less often.
Flip Offset ATR — extra ATR buffer required to flip. Useful in choppy regimes.
Adverse Stop K·ATR — per-trade danger brake that forces an exit if price moves K×ATR against entry.
UI — toggle baseline, supertrend, signals, and bar painting; choose long and short colors.
How to read it
Green regime — candles painted long and the Supertrend running below price. Pullbacks toward the baseline that fail to breach the opposite band often resume higher.
Red regime — candles painted short and the Supertrend running above price. Rallies that cannot reclaim the band may roll over.
Frequent side swaps — reduce sensitivity by increasing Enter Mult, using ATR mode, raising the Supertrend factor, or adding Flip Offset ATR.
Use cases
Bias filter — allow entries only in the direction of the current side. Use your preferred triggers inside that bias.
Trailing logic — treat the active band as a dynamic stop. If the side flips or an adverse K·ATR exit prints, reduce or close exposure.
Regime map — on higher timeframes, the combination baseline + band produces a clean up vs down template for allocation decisions.
Tuning guidance
Fast markets — ATR deadband, modest Enter Mult (0.8–1.2), response 0.2–0.35, Supertrend factor 1.7–2.2, small Flip Offset (0.2–0.5 ATR).
Choppy ranges — widen deadband or raise Enter Mult, lower response, and add more Flip Offset so flips require stronger evidence.
Slow trends — longer ATR periods and higher Supertrend factor to keep you on side longer; use a conservative adverse K.
Included alerts
DBHF ST Long — side flips to long.
DBHF ST Short — side flips to short.
Adverse Exit Long / Short — K·ATR stop triggers against the current side.
Strengths
Deadbanded baseline reduces micro whipsaws before Supertrend logic even begins.
Flip hysteresis adds a second layer of confirmation at the boundary.
Optional adverse ATR stop provides a uniform risk cut across assets and regimes.
Clear visuals and minimal parameters to adjust for symbol behavior.
Putting it together
Think of this tool as two decisions layered into one view. The deadband baseline answers “does this move even count,” then the Supertrend wrapped around that baseline answers “if it counts, which side should I be on and where do I flip.” When both parts agree you tend to stay on the correct side of a trend for longer, and when they disagree you get an early warning that conditions are changing.
When the baseline bends and price cannot reclaim the opposite band , momentum is usually continuing. Pullbacks into the baseline that stall before the far band often resolve in trend.
When the baseline flattens and the bands compress , expect indecision. Use the Flip Offset ATR to avoid reacting to the first feint. Wait for a clean band breach with follow through.
When an adverse K·ATR exit prints while the side has not flipped , treat it as a risk event rather than a full regime change. Many users cut size, re-enter only if the side reasserts, and let the next flip confirm a new trend.
Final thoughts
Deadband Hysteresis Supertrend is best read as a regime lens. The baseline defines your tolerance for noise, the bands define your trailing structure, and the flip offset plus adverse ATR stop define how forgiving or strict you want to be at the boundary. On strong trends it helps you hold through shallow shakeouts. In choppy conditions it encourages patience until price does something meaningful. Start with settings that reflect the cadence of your market, observe how often flips occur, then nudge the deadband and flip offset until the tool spends most of its time describing the move you care about rather than the noise in between.
HTF Power of Three+ Limitless by Supreme
HTF Power of Three+ Limitless by Supreme
This indicator provides a high fidelity lens into the market's fundamental fractal rhythm.
For the professional trader who understands every candle is a story of accumulation manipulation and distribution this tool transcends the limitations of linear time analysis.
It offers an institutional grade panoramic dashboard of the Power of Three archetype operating seamlessly across any timeframe without constraint.
The core limitation of standard chart analysis is the boundary between timeframes.
This tool dissolves these walls presenting a fluid four dimensional view of market dynamics directly on your chart.
It transforms your perception by offering a continuous unbroken context of the higher timeframe narrative that governs all lower timeframe price action.
This is not merely another visualization tool.
It is a complete solution to the problem of temporal dissonance that plagues most traders.
The standard chart presents a flat fragmented reality.
You are forced to switch between timeframes losing your place and breaking your cognitive flow.
This constant friction degrades the quality of analysis and leads to missed opportunities or flawed execution.
The market is a fractal an infinitely repeating pattern across all scales of time.
Lower timeframe price movements are not random events.
They are the direct consequence of the objectives being pursued on higher timeframes.
To trade without this higher timeframe context is to navigate a storm without a compass guided only by the immediate chaotic waves.
This indicator provides that compass.
The Power of Three is the narrative structure embedded within every candle.
This concept posits that smart money engineers price through a deliberate three phase process.
First is the accumulation phase.
This is a period of relative equilibrium typically around the opening price where large institutions quietly build their positions.
It is the balance before the imbalance the coiling of a spring.
Second is the manipulation phase.
This is the critical judas swing or stop hunt designed to engineer liquidity.
Price is intentionally driven against the true intended direction to trip stop loss orders from breakout traders and induce uninformed participants to take the wrong side of the market.
Their selling becomes the liquidity for institutions to buy at better prices and vice versa.
Third is the distribution phase.
This is the true expansion move where price travels rapidly in the direction of institutional intent.
This is the clean efficient price leg that most trend following systems attempt to capture often after the most advantageous entry point has passed.
Understanding this three part structure is the key to aligning your trades with smart money flow.
This tool makes that entire process visible.
The current live higher timeframe candle is projected onto your chart as it forms.
This is not a static snapshot but a living representation of the ongoing campaign.
Every tick on your lower timeframe chart now has context.
You can see precisely if price is in the initial accumulation phase giving you time to prepare.
You can identify the manipulation phase as it happens allowing you to avoid being trapped or to position yourself for the reversal.
You can confirm the beginning of the distribution phase providing the confidence to engage with the true market move.
The indicator also displays the three previously completed higher timeframe candles.
This is not just historical data.
It is the immediate narrative context.
These three candles reveal the established order flow and the key price levels that matter.
The highs and lows of these candles are not arbitrary points.
They are institutional reference points magnets for liquidity and critical levels for targeting or invalidation.
A manipulation move will often seek the high or low of the previous candle before reversing.
The expansion move will often target the liquidity resting beyond a high or low from two candles prior.
This four candle panoramic view allows for sophisticated narrative construction.
You can build a high probability thesis for the trading session based on the interrelationship of these candles.
For example after a series of strong bullish higher timeframe closes a brief manipulative dip below the prior candle's open becomes a very high probability long entry.
Conversely a failure to expand above the previous candle's high after a strong run may signal exhaustion and an impending reversal.
The tool's architecture is built on a state of the art non redrawing framework.
All visual elements are created once and only their parameters are updated.
This eliminates redraw lag entirely ensuring a fluid instantaneous and seamless experience.
Your analytical environment will remain sharp responsive and completely unburdened even during extreme market volatility.
The engine is unbound by time.
Its logic is perfectly fractal.
A scalper on a one minute chart using a fifteen minute context gains the same clarity and follows the same principles as a swing trader on a daily chart using a weekly context.
The pattern is universal.
This tool makes its application universally accessible.
This is for the trader who is no longer satisfied with looking at the market through a keyhole.
It is for the analyst who demands a complete limitless and flawlessly performing view of the price delivery process.
-
By installing this indicator you move from a fragmented view of price to a holistic four dimensional understanding of the market.
You achieve temporal coherence seeing the cause on the higher timeframe and the effect on the lower timeframe as a single unified process.
You begin to operate without the constraints of conventional charting.
Engulfing Pro v1Engulfing Pro v1 — Pro Inside (C2-in-wick) signals
Engulfing Pro v1 finds a precise three-bar sequence designed to catch clean continuations or turns after an impulsive move. The signal—called Pro Inside—fires when price closes back inside the wick of a prior engulfing bar, often indicating a controlled pullback into freshly swept liquidity.
What it detects
Engulfing pre-condition (Bars -2 → -1):
A strict bullish or bearish body engulfing occurs one bar before the signal (larger body, full body containment).
Pro Inside signal (Bar 0 / C2):
The current bar (C2) closes inside the wick of the engulfing bar (C1):
Bullish: C2 closes inside C1’s upper wick
Bearish: C2 closes inside C1’s lower wick
Optional C3 confirmation (info only):
The next bar closes beyond C2’s extreme (above for bullish, below for bearish).
Why it matters
The “close-inside-wick” structure frequently marks a measured pullback after momentum just flipped (engulfing), offering a clear, rules-based entry with defined invalidation.
Inputs
Show Pro Inside (Bullish) — toggle bullish signals
Show Pro Inside (Bearish) — toggle bearish signals
Change bar color on signal (C2) — color C2 (lime/red)
Plot markers — C2 triangles and ✔ on C3 confirmations
Boundary padding (ticks) — nudge wick bounds to reduce marginal touches
Visuals & Alerts
Markers:
“C2” triangle up/down on qualifying bars
“✔” circle on C3 confirmations
Alert names:
Pro Inside (Bullish)
Pro Inside (Bearish)
Pro Inside — Bullish C3 confirmation
Pro Inside — Bearish C3 confirmation
How to use (ideas, not advice)
Entry: Aggressive at/after C2 close; conservative on C3 confirmation.
Stops: Common placements beyond the opposite side of C2, or beyond C1’s wick.
Confluence: Pair with market structure, higher-timeframe bias, or Supply & Demand zones for selectivity.
Timeframes/markets: Works on any symbol/TF; adapt padding for volatility.
Notes
Evaluates on bar close (no look-ahead).
Visual/alert tool for study and workflow—not financial advice.
Always forward-test and risk-manage appropriately.
P/B Ratio (Per Share) vs Median + Bollinger Band- 📝 This indicator highlights potential buying opportunities by analyzing the Price-to-Book (P/B) ratio in relation to Bollinger Bands and its historical median.
- 🎯 The goal is to provide a visually intuitive signal for value-oriented entries, especially when valuation compression aligns with historical context.
- 💡 Vertical green shading is applied when the P/B ratio drops below the lower Bollinger Band, which is calculated directly from the P/B ratio itself — not price. This condition often signals the ticker may be oversold.
- 🟢 Lighter green appears when the ratio is below the lower band but above the median, suggesting a possible shorter-term entry with slightly more risk.
- 🟢 Darker green appears when the ratio is both below the lower band and below the median, pointing to a potentially stronger, longer-term value entry.
- ⚠️ This logic was tested using 1 and 2-day time frames. It may not be as helpful in longer time frames, as the financial data TradingView pulls in begins in Q4 2017.
- ⚠️ Note: This script relies on financial data availability through TradingView. It may not function properly with certain tickers — especially ETFs, IPOs, or thinly tracked assets — where P/S ratio data is missing or incomplete.
- ⚠️ This indicator will not guarantee successful results. Use in conjunction with other indicators and do your due diligence.
- 🤖 This script was iteratively refined with the help of AI to ensure clean logic, minimalist design, and actionable signal clarity.
- 📢 Idea is based on the script "Historical PE ratio vs median" by haribotagada
- 💬 Questions, feedback, or suggestions? Drop a comment — I’d love to hear how you’re using it or what you'd like to see changed.
P/E Ratio vs Median + Bollinger Band- 📝 This indicator highlights potential buying opportunities by analyzing the Price-to-Earnings (P/E) ratio in relation to Bollinger Bands and its historical median.
- 🎯 The goal is to provide a visually intuitive signal for value-oriented entries, especially when valuation compression aligns with historical context.
- 💡 Vertical green shading is applied when the P/E ratio drops below the lower Bollinger Band, which is calculated directly from the P/E ratio itself — not price. This condition often signals the ticker may be oversold.
- 🟢 Lighter green appears when the ratio is below the lower band but above the median, suggesting a possible shorter-term entry with slightly more risk.
- 🟢 Darker green appears when the ratio is both below the lower band and below the median, pointing to a potentially stronger, longer-term value entry.
- ⚠️ This logic was tested using 1 and 2-day time frames. It may not be as helpful in longer time frames, as the financial data TradingView pulls in begins in Q4 2017.
- ⚠️ Note: This script relies on financial data availability through TradingView. It may not function properly with certain tickers — especially ETFs, IPOs, or thinly tracked assets — where P/S ratio data is missing or incomplete.
- ⚠️ This indicator will not guarantee successful results. Use in conjunction with other indicators and do your due diligence.
- 🤖 This script was iteratively refined with the help of AI to ensure clean logic, minimalist design, and actionable signal clarity.
- 📢 Idea is based on the script "Historical PE ratio vs median" by haribotagada
- 💬 Questions, feedback, or suggestions? Drop a comment — I’d love to hear how you’re using it or what you'd like to see changed.
P/S Ratio vs Median + Bollinger Band- 📝 This indicator highlights potential buying opportunities by analyzing the Price-to-Sales (P/S) ratio in relation to Bollinger Bands and its historical median.
- 🎯 The goal is to provide a visually intuitive signal for value-oriented entries, especially when valuation compression aligns with historical context.
- 💡 Vertical green shading is applied when the P/S ratio drops below the lower Bollinger Band, which is calculated directly from the P/S ratio itself — not price. This condition often signals the ticker may be oversold.
- 🟢 Lighter green appears when the ratio is below the lower band but above the median, suggesting a possible shorter-term entry with slightly more risk.
- 🟢 Darker green appears when the ratio is both below the lower band and below the median, pointing to a potentially stronger, longer-term value entry.
- ⚠️ This logic was tested using 1 and 2-day time frames. It may not be as helpful in longer time frames, as the financial data TradingView pulls in begins in Q4 2017.
- ⚠️ Note: This script relies on financial data availability through TradingView. It may not function properly with certain tickers — especially ETFs, IPOs, or thinly tracked assets — where P/S ratio data is missing or incomplete.
- ⚠️ This indicator will not guarantee successful results. Use in conjunction with other indicators and do your due diligence.
- 🤖 This script was iteratively refined with the help of AI to ensure clean logic, minimalist design, and actionable signal clarity.
- 📢 Idea is based on the script "Historical PE ratio vs median" by @haribotagada
- 💬 Questions, feedback, or suggestions? Drop a comment — I’d love to hear how you’re using it or what you'd like to see changed.
Liquidity Pulse Revealer (LPR) — by Qabas_algoLiquidity Pulse Revealer (LPR) — by Qabas_algo
The Liquidity Pulse Revealer (LPR) is a technical framework designed to uncover hidden phases of institutional activity by combining volatility (ATR Z-Score) and liquidity (Volume Z-Score) into a dual-condition detection model. Instead of relying on price action alone, LPR measures how volatility and traded volume behave relative to their historical distributions, revealing when the market is either “compressed” or “expanding with force.”
⸻
🔹 Core Mechanics
1. ATR Z-Score (Volatility Normalization)
• LPR calculates the Average True Range (ATR) on a higher timeframe (HTF).
• It applies a Z-Score transformation across a configurable lookback period to determine if volatility is statistically compressed (below mean) or expanded (above mean).
2. Volume Z-Score (Liquidity Normalization)
• Simultaneously, traded volume is normalized using the same Z-Score method.
• Elevated Volume Z-Scores signal the presence of institutional activity (accumulation/distribution or aggressive breakout participation).
3. Dual Conditions → Regimes
• 🧊 Iceberg Volume = Low ATR Z-Score + High Volume Z-Score.
→ Indicates a “hidden liquidity build-up” phase where price compresses but big players are positioning.
• ⚡ Revealed Momentum = High ATR Z-Score + High Volume Z-Score.
→ Marks explosive volatility phases where institutional activity is fully expressed in directional moves.
⸻
🔹 Visualization
• Iceberg Zones (blue shaded boxes):
Drawn automatically around periods of statistical compression + elevated volume. These zones act as launchpads; once broken, they often precede strong directional expansions.
• Revealed Zones (green shaded boxes):
Highlight expansionary phases with both volatility and volume spiking. They often align with trend acceleration or terminal exhaustion zones.
• Midline Tracking:
Each zone maintains a dynamic average (mid-price), updated as the session evolves, providing reference for breakout confirmation and invalidation levels.
⸻
🔹 Practical Use Cases
• Accumulation/Distribution Detection:
Spot where “smart money” is quietly building or unloading positions before large moves.
• Breakout Confirmation:
A breakout occurring after an Iceberg zone carries higher conviction than random volatility.
• Profit Management:
If a Revealed Momentum zone appears after a strong uptrend, it often signals distribution or exhaustion — useful for partial profit taking.
• Multi-Timeframe Adaptability:
With Auto, Multiplier, and Manual higher-timeframe modes, LPR adapts seamlessly to intraday scalping or swing trading contexts.
⸻
🔹 Alerts
• Instant alerts for the start of new Iceberg or Revealed zones.
• Optional alerts for breakouts above/below the last Iceberg zone boundaries.
⸻
🔹 Example Trading Scenario
1. Detection: An 🧊 Iceberg Volume zone forms around support (low volatility + high volume).
2. Trigger: Price closes above the upper boundary of this Iceberg zone.
3. Entry: Go long on the breakout.
4. Stop Loss: Place stop just below the Iceberg zone’s low (where the liquidity build-up started).
5. Target: Hold until a ⚡ Revealed Momentum zone forms — then start scaling out as the expansion matures.
This simple framework transforms hidden institutional behavior into actionable trade setups with clear risk management.
⸻
⚠️ Disclaimer: The LPR is a research and educational tool. It does not provide financial advice. Always apply proper risk management and use in combination with your own trading framework.
Trend Strength Confidence Gauge LiteMost traders don’t fail from bad charts — they fail from bad timing. Jumping in too early, bailing too soon, or freezing when the move finally comes.
The Trend Strength Confidence Meter strips away the noise and highlights the three factors that matter most:
Trend → The confirmed direction of the market
Confidence → Concise tool clarity providing quick entries
Strength → Strength Score shows the underlying battle between buyers and sellers
How to Use It:
Watch the Moving Average Ribbon (Hull MA) for a flip: green = uptrend, red = downtrend.
Act only when ribbon color matches the Confidence thumbs-up.
Confirm with Strength 3+ before entry.
When trend, confidence, and strength align, you reduce risk and step in at tighter entry points — giving clarity for entries and conviction to hold through stronger moves.
Advanced Indicators Made Simple — Provided by The AI Trading Desk
EdgeFlow Pullback [CHE]EdgeFlow Pullback \ — Icon & Visual Guide (Deep Dive)
TL;DR (1-minute read)
⏳ Hourglass = Pending verdict. A countdown runs from the signal bar until your Evaluation Window ends.
✔ Checkmark (green) = OK. After the evaluation window, price (HLC3) is on the correct side of the EMA144 for that signal’s direction.
✖ Cross (red) = Fail. After the evaluation window, price (HLC3) is on the wrong side of the EMA144.
▲ / ▼ Triangles = the actual PB Long/Short signal bar (sequence completed in time).
Small lime/red crosses = visual markers when HLC3 crosses EMA144 (context, not trade signals).
Orange line = EMA144 (baseline/trend filter).
T3 line color = Context signal: green when T3 is below HLC3, red when T3 is above HLC3.
Icon Glossary (What each symbol means)
1) ⏳ Hourglass — “Pending / Countdown”
Appears immediately when a PB signal fires (Long or Short).
Shows `⏳ currentBars / EvaluationBars` (e.g., `⏳ 7/30`).
The label stays anchored at the signal bar and its original price level (it does not drift with price).
During ⏳ you get no verdict yet. It’s simply the waiting period before grading.
2) ✔ Checkmark (green) — “Condition met”
Appears after the Evaluation Window completes.
Logic:
Long signal: HLC3 (typical price) is above EMA144 → ✔
Short signal: HLC3 is below EMA144 → ✔
The label turns green and text says “✔ … Condition met”.
This is rules-based grading, not PnL. It tells you if the post-signal structure behaved as expected.
3) ✖ Cross (red) — “Condition failed”
Appears after the Evaluation Window completes if the condition above is not met.
Label turns red with “✖ … Condition failed”.
Again: rules-based verdict, not a guarantee of profit or loss.
4) ▲ “PB Long” triangle (below bar)
Marks the exact bar where the 4-step Long sequence completed within the allowed window.
That bar is your signal bar for Long setups.
5) ▼ “PB Short” triangle (above bar, red)
Same as above, for Short setups.
6) Lime/Red “+” crosses (tiny cross markers)
Lime cross (below bar): HLC3 crosses above EMA144 (crossover).
Red cross (above bar): HLC3 crosses below EMA144 (crossunder).
These crosses are context markers; they’re not entry signals by themselves.
The Two Clocks (Don’t mix them up)
There are two different time windows at play:
1. Signal Window — “Max bars for full sequence”
A pullback signal (Long or Short) only fires if the 4-step sequence completes within this many bars.
If it takes too long: reset (no signal, no triangle, no label).
Purpose: avoid stale setups.
2. Evaluation Window — “Evaluation window after signal (bars)”
Starts after the signal bar. The label shows an ⏳ countdown.
When it reaches the set number of bars, the indicator checks whether HLC3 is on the correct side of EMA144 for the signal direction.
Then it stamps the signal with ✔ (OK) or ✖ (Fail).
Timeline sketch (Long example):
```
→ ▲ PB Long at bar t0
Label shows: ⏳ 0/EvalBars
t0+1, t0+2, ... t0+EvalBars-1 → still ⏳
At t0+EvalBars → Check HLC3 vs EMA144
Result → ✔ (green) or ✖ (red)
(Label remains anchored at t0 / signal price)
```
What Triggers the PB Signal (so you know why triangles appear)
LONG sequence (4 steps in order):
1. T3 falling (the pullback begins)
2. HLC3 crosses under EMA144
3. T3 rising (pullback ends)
4. HLC3 crosses over EMA144 → PB Long triangle
SHORT sequence (mirror):
1. T3 rising
2. HLC3 crosses over EMA144
3. T3 falling
4. HLC3 crosses under EMA144 → PB Short triangle
If steps 1→4 don’t complete in time (within Max bars for full sequence), the sequence is abandoned (no signal).
Lines & Colors (quick interpretation)
EMA144 (orange): your baseline trend filter.
T3 (green/red):
Green when T3 < HLC3 (price above the smoothed path; often supportive in up-moves)
Red when T3 > HLC3 (price below the smoothed path; often pressure in down-moves)
HLC3 (gray): the typical price the logic uses ( (H+L+C)/3 ).
Label Behavior (anchoring & cleanup)
Each signal creates one label at the signal bar with ⏳.
The label is position-locked: it stays at the same bar index and y-price it was born at.
After the evaluation check, the label text and color update to ✔/✖, but position stays fixed.
The indicator keeps only the last N labels (your “Show only the last N labels” input). Older ones are deleted to reduce clutter.
What You Can (and Can’t) Infer from ✔ / ✖
✔ OK: Structure behaved as intended during the evaluation window (HLC3 finished on the correct side of EMA144).
Inference: The pullback continued in the expected direction post-signal.
✖ Fail: Structure ended up opposite the expectation.
Inference: The pullback did not continue cleanly (chop, reversal, or insufficient follow-through).
> Important: ✔/✖ is not profit or loss. It’s an objective rule check. Use it to identify market regimes where your entries perform best.
Input Settings — How they change the visuals
T3 length:
Shorter → faster turns, more signals (and more noise).
Longer → smoother turns, fewer but cleaner sequences.
T3 volume factor (0–1, default 0.7):
Higher → more curvature/smoothing.
Typical sweet spot: 0.5–0.9.
EMA length (baseline) default 144:
Smaller → faster baseline, more cross events, more aggressive signals.
Larger → slower, stricter trend confirmation.
Max bars for full sequence (signal window):
Smaller → only fresh, snappy pullbacks can signal.
Larger → allows slower pullbacks to complete.
Evaluation window (after signal):
Smaller → verdict arrives quickly (less tolerance).
Larger → gives the trade more time to prove itself structurally.
Show only the last N labels:
Controls chart clutter. Increase for more history, decrease for focus.
(FYI: The “Debug” toggle exists but doesn’t draw extra overlays in this version.)
Practical Reading Flow (how to use visuals in seconds)
1. Triangles catch your eye: ▲ for Long, ▼ for Short. That’s the setup completion.
2. ⏳ label starts—don’t judge yet; let the evaluation run.
3. Watch EMA slope and T3 color for context (trend + pressure).
4. After the window: ✔/✖ stamps the outcome. Log what the market was like when you got ✔.
Common “Why did…?” Questions
Q: Why did I get no triangle even though T3 turned and EMA crossed?
A: The 4 steps must happen in order and within the Signal Window. If timing breaks, the sequence resets.
Q: Why did my label stay ⏳ for so long?
A: That’s by design until the Evaluation Window completes. The verdict only happens at the end of that window.
Q: Why is ✔/✖ different from my PnL?
A: It’s a structure check, not a profit check. It doesn’t know your entries/exits/stops.
Q: Do the small lime/red crosses mean buy/sell?
A: No. They’re context markers for HLC3↔EMA crosses, useful inside the sequence but not standalone signals.
Pro Tips (turn visuals into decisions)
Entry: Use the ▲/▼ triangle as your trigger, in trend direction (check EMA slope/market structure).
Stop: Behind the pullback swing around the signal bar.
Exit: Structure levels, R-multiples, or a reverse HLC3↔EMA cross as a trailing logic.
Tuning:
Intraday/volatile: shorter T3/EMA + tighter Signal Window.
Swing/slow: default 144 EMA + moderate windows.
Learn quickly: Filter your chart to show only ✔ or only ✖ windows in your notes; see which sessions, assets, and volatility regimes suit the system.
Disclaimer
No indicator guarantees profits. Sweep2Trade Pro \ is a decision aid; always combine with solid risk management and your own judgment. Backtest, forward test, and size responsibly.
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Enhance your trading precision and confidence 🚀
Happy trading
Chervolino
Advanced Swing Trading Suite(Mastersinnifty)🔹 Core Logic
The Advanced Swing Trading Suite is a complete framework for analyzing and trading market swings.
It combines:
A modified QQE momentum engine (adapted from the original QQE by © Peter_O under MPL 2.0).
RSI-based trend strength filter for validation.
Zigzag-driven swing structure detection (higher highs, higher lows, lower highs, lower lows).
Dynamic trade and risk management modules for practical execution.
By merging momentum, structure, and risk control, this tool goes beyond standalone indicators and provides a structured decision-support system for swing traders.
🔹 Uniqueness
While the QQE concept is freely available, this script builds an integrated swing trading ecosystem that adds multiple layers of functionality:
Swing structure analyzer that maps price action into HH, HL, LH, LL patterns in real time.
Dynamic percentage-based trade table that automatically logs entries, exits, P&L %, and timestamps.
Lot size calculator that converts account capital into position size per trade.
Swing extensions and retracement projections for planning targets.
Momentum confirmation via a tuned QQE + RSI engine.
This makes it not just an indicator, but a complete swing trading suite.
🔹 Key Features
✔ Modified QQE + RSI Momentum Filter → Early trend confirmation.
✔ Real-Time Swing Structure Labels (HH, HL, LH, LL) → Clear market context.
✔ Trade Performance Table → Tracks signals with percentage P&L and timing.
✔ Lot Size Calculator → Position sizing based on account capital.
✔ Dynamic Stops & Targets → Swing highs/lows as stops, extensions for projections.
✔ Alerts Ready → Configurable buy/sell alerts.
✔ Visual Labels → Background highlighting and trade markers.
🔹 How to Use
Entries: Green background = Long entry, Red background = Short entry.
Structure: HH/HL/LH/LL labels mark evolving swing structure.
Trade Table: Displays performance stats of past signals.
Risk Control: Use lot size calculator for instant position sizing.
Targets: Refer to swing extensions for profit zones.
Alerts: Set alerts for buy/sell triggers to receive notifications.
🔹 Disclaimer
This script integrates a modified version of QQE by © Peter_O (MPL 2.0 License).
Original QQE source: mozilla.org
All additional modules (swing analyzer, trade table, lot calculator, extensions) are original contributions by Mastersinnifty.
⚠️ Trading Disclaimer:
This script is for educational purposes only and does not constitute financial advice. Past performance is not indicative of future results. Always conduct your own research, test thoroughly, and trade with proper risk management.
Bullish 1st Breakaway FVG Stop Loss
This indicator provides a defined 3-tier stop loss placement when you want to trade the 1st Bullish Breakaway FVG strategy. The Bullish Breakaway Dual Session FVG indicator is an independent indicator that track all bullish breakaway candles, however this one only tracks the very 1st breakaway candle with a stop loss visual cue.
Introduction of Bullish Breakaway Consolidated FVG:
Inspired by the FVG Concept:
This indicator is built on the Fair Value Gap (FVG) concept, with a focus on Consolidated FVG. Unlike traditional FVGs, this version only works within a defined session (e.g., ETH 18:00–17:00 or RTH 09:30–16:00).
Bullish consolidated FVG & Bullish breakaway candle
Begins when a new intraday low is printed. After that, the indicator searches for the 1st bullish breakaway candle, which must have its low above the high of the intraday low candle. Any candles in between are part of the consolidated FVG zone. Once the 1st breakaway forms, the indicator will shades the candle’s range (high to low).
Session Reset: Occurs at session close.
Choose your own session: use 930 to 1615 for RTH, 1800 to 1615 for ETH. (New York Time Zone)
Repaint Behavior:
If a new intraday (or intra-session) low forms, earlier breakaway patterns are wiped, and the system restarts from the new low.
Product Optimization:
This indicator is designed for CME future product with New York time zone. If you want to trade other products, please adjust your own time session.
Entry:
Long after the 1st Bullish Breakaway Candle in your active session.
However, best position of long is executed by your own trading skill and edge.
Stop Loss: ξ
ξ: This is the 1st stop loss, it is 1 equal size of the breakaway candle below the low.
ξξ: This is the 2nd stop loss, it is 2 equal sizes of the breakaway candle below the low.
L: This is the 3rd stop loss, it is the intraday session low.
Stop loss calculation:
Assuming you enter at the high of the breakaway candle, the SL number is shown as the high minus the stop loss placement.
Last Mention:
If you don't see anything in the indicator, adjust your session to an active session only, and use Tradingview replay function. This indicator is a live indicator with repainting mechanism.
