Gamma of Gamma - AnticipationGamma of Gamma — Anticipation Engine
What if you could detect market inflections before they become obvious? Not react to momentum — anticipate the momentum itself.
"Gamma here refers to mathematical acceleration (2nd derivative), NOT options Gamma"
Gamma of Gamma (GoG) operates one abstraction layer above conventional indicators. While RSI tells you what momentum did , GoG tells you what momentum is about to do . This is the difference between chasing price and positioning ahead of it.
Core Innovation: Traditional indicators measure first-order effects (price change) or second-order effects (momentum/acceleration). This system measures the third derivative — the rate of change of acceleration itself. When Gamma-of-Gamma reaches extremes, it signals that pressure dynamics are about to flip — often 2-5 bars before price visibly reacts.
Target Users: Discretionary traders, scalpers, and swing traders who want early positioning signals with statistical rigor. Effective on stocks, crypto, forex, and futures with meaningful volume data.
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WHY THIRD-DERIVATIVE ANALYSIS?
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The Hierarchy of Market Information
Most traders operate at the wrong level of abstraction:
• Price → What happened (lagging)
• Momentum → How fast it happened (still lagging)
• Gamma (2nd Derivative) → How momentum is changing (coincident)
• Gamma of Gamma (3rd Derivative) → How FAST that change is changing ( leading )
The third derivative captures inflection acceleration — the mathematical signature of regime transition. When GoG reaches extreme values, the market is telegraphing that current pressure dynamics are unsustainable.
Why This Beats RSI
RSI measures momentum magnitude. GoG measures momentum trajectory .
Consider this scenario: RSI reads 70 (overbought). Is the move exhausted or just getting started? RSI cannot tell you. GoG can — because it measures whether buying pressure is accelerating into the high RSI reading (continuation likely) or decelerating despite high RSI (reversal imminent).
RSI answers: "How strong was the move?"
GoG answers: "Is the move strengthening or weakening right now ?"
The first is historical. The second is predictive.
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MATHEMATICAL FOUNDATION
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Layer 1: Cumulative Volume Delta (CVD)
The foundation is order flow approximation:
• Up bar (close > prior close): Volume classified as buying pressure
• Down bar (close < prior close): Volume classified as selling pressure
• CVD = Running sum of signed volume
Interpretation: Rising CVD indicates net aggressive buying. Falling CVD indicates net aggressive selling. CVD divergence from price often precedes reversals.
Layer 2: Gamma (Second Derivative)
Gamma measures acceleration of order flow:
Formula: Gamma = CVD - 2×CVD + CVD
This is the discrete second derivative — the rate of change of the rate of change. When Gamma spikes positive, buying pressure is accelerating . When Gamma spikes negative, selling pressure is accelerating.
Layer 3: Gamma of Gamma (Third Derivative)
GoG measures jerk — the acceleration of acceleration:
Formula: GoG = Gamma - 2×Gamma + Gamma
Critical insight: Extreme GoG readings indicate that current pressure dynamics are reaching an inflection point. The system is "overextended" in its current trajectory and will likely revert or reverse.
Layer 4: Z-Score Normalization
Raw GoG values are normalized against their 50-period distribution:
Formula: GoG_Z = (GoG - Mean_50) / StdDev_50
Benefit: Z-scores are regime-adaptive. A "2.0" reading always means "2 standard deviations from normal" regardless of whether you're trading a penny stock or ES futures. This makes thresholds consistent across instruments and timeframes.
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SIGNAL GENERATION LOGIC
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Long Signal (Bullish Anticipation)
Triggers when:
• GoG Z-score < -Threshold (default -2.0)
• Volume > Average Volume × Minimum Multiple (default 1.2×)
Interpretation: Selling pressure acceleration has reached an extreme negative reading. The selling is "exhausting itself" — acceleration is peaking and will soon decelerate. Buyers are likely to step in.
Short Signal (Bearish Anticipation)
Triggers when:
• GoG Z-score > +Threshold (default +2.0)
• Volume > Average Volume × Minimum Multiple (default 1.2×)
Interpretation: Buying pressure acceleration has reached an extreme positive reading. The buying is "exhausting itself" — often occurs at blow-off tops, failed breakouts, or momentum climaxes.
Why Volume Confirmation?
Gamma acceleration in thin liquidity is meaningless noise. The volume filter ensures signals occur only when meaningful participation backs the pressure dynamics. This dramatically reduces false signals during low-activity periods.
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CONFIDENCE ENGINE
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Not all signals are equal. The Confidence Engine quantifies signal strength:
Confidence Calculation:
Confidence = 50 + ((|Z-Score| - Threshold) / Threshold) × 100
Capped at 100%
Visual Representation:
• Small orb = Low confidence (50-65%)
• Normal orb = Medium confidence (65-80%)
• Large orb = High confidence (80-100%)
Orb transparency also adjusts — high-confidence signals appear brighter and more prominent. This creates intuitive visual hierarchy where stronger signals demand more attention.
Practical Use:
• High confidence (>80%): Consider larger position size, tighter stops
• Medium confidence (50-80%): Standard position size
• Low confidence (<50%): Reduced size or wait for confirmation
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INTEGRATED BACKTESTER
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Every signal system needs accountability. The onboard backtester provides real-time performance tracking:
Core Metrics:
• Total Trades
• Win Rate
• Profit Factor
• Expectancy (average P&L per trade)
• Net P&L
• Max Drawdown
• Average Win / Average Loss
Methodology:
• Positions held for configurable bar count (default 10 bars)
• Forces objective evaluation independent of discretionary exits
• Updates in real-time as new trades complete
Optimizer Mode:
Enable for parameter tuning research:
• Stability Score (0-100 points): Composite evaluation of parameter robustness
• Trade Density : Signals per 1000 bars — monitors over/under-trading
• Parameter Display : Current settings for documentation
• Robustness Rating : ROBUST / STABLE / FRAGILE / OVERFIT
Stability Scoring Breakdown:
• Win Rate ≥55%: +25 points | ≥50%: +15 points | ≥45%: +5 points
• Expectancy >0.5%: +25 points | >0.1%: +15 points | >0%: +5 points
• Total Trades ≥30: +25 points | ≥20: +15 points | ≥10: +5 points
• Profit Factor ≥1.5: +25 points | ≥1.2: +15 points | ≥1.0: +5 points
Target: 60+ points indicates stable parameters. Below 40 suggests overfitting risk.
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CHART EXECUTION SIGNALS
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Unique feature: Entry and exit markers display directly on the price chart via force_overlay, even though the indicator runs in a separate pane.
Visual Markers:
• ▲ Green Triangle (below bar): Long entry at exact price level
• ▼ Red Triangle (above bar): Short entry at exact price level
• ✕ Gold X-Cross : Position exit after hold period
Benefit: Immediate visual correlation between GoG signals and price action. Review historical trades without switching between panes.
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DUAL DASHBOARD SYSTEM
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Main Dashboard — Real-Time State
Displays:
• Current GoG regime (EXTREME HIGH / EXTREME LOW / NEUTRAL)
• GoG Z-Score (numerical)
• Raw GoG value
• Gamma value
• CVD (Cumulative Volume Delta)
• Volume status (Active/Low with ratio)
• Signal state (Scanning / Long Signal / Short Signal / In Position)
• Confidence meter with visual bar
• Entry price when in position
Backtest Dashboard — Performance Metrics
Displays all backtester metrics in compact format. Switches to Optimizer view when Optimizer Mode enabled.
Both dashboards feature:
• Configurable position (6 locations including Middle Left/Right)
• Adjustable text size (Tiny/Small/Normal/Large)
• Transparency control for visual integration
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PARAMETER GUIDE
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Calculation Settings
• GoG Extreme Threshold (default 2.0): Z-score level for signal generation. Higher = fewer but stronger signals. Range: 0.5-5.0
• Gamma Smoothing (default 3): SMA period for Gamma. Lower = more responsive, more noise. Higher = smoother, more lag. Range: 1-20
• GoG Smoothing (default 5): SMA period for GoG. Filters micro-spikes while preserving structural inflections. Range: 1-20
• Min Volume Multiple (default 1.2): Volume must exceed this multiple of 20-period average. Ensures signals have participation backing. Range: 0.5-3.0
Backtester Settings
• Backtest Hold Bars (default 10): Forced holding period for backtester evaluation. Adjust based on timeframe and trading style.
• Parameter Optimizer Mode : Enables extended metrics for tuning research.
Tuning by Timeframe
Scalping (1-5 min):
Threshold: 1.5-2.0 | Gamma Smooth: 2-3 | GoG Smooth: 3-4 | Hold: 5-8 bars
Day Trading (15-60 min):
Threshold: 2.0-2.5 | Gamma Smooth: 3-5 | GoG Smooth: 5-7 | Hold: 8-12 bars
Swing Trading (4H-Daily):
Threshold: 2.5-3.0 | Gamma Smooth: 5-7 | GoG Smooth: 7-10 | Hold: 10-15 bars
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HOW TO USE: PRACTICAL WORKFLOW
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Step 1: Identify Regime
Watch the GoG Z-score line. Most of the time it oscillates within the neutral zone (between thresholds). This is "scanning" mode — no actionable signal.
Step 2: Wait for Extreme
When Z-score crosses threshold AND volume confirms, a signal fires. The orb appears in the indicator pane; the triangle appears on price chart.
Step 3: Assess Confidence
Check orb size and dashboard confidence reading:
• Large bright orb + 80%+ confidence = High conviction setup
• Small faint orb + <60% confidence = Requires additional confirmation
Step 4: Execute with Context
GoG signals anticipate — they don't confirm. Use price structure (support/resistance), higher timeframe trend, or other confirmation before entry.
Step 5: Manage Position
Exit markers show backtester exits. For live trading, consider:
• Time-based exit (signal's hold period)
• Opposite signal exit
• Fixed R:R targets
Step 6: Review Performance
Check Backtest Dashboard regularly. If Win Rate drops below 45% or Expectancy goes negative, reassess parameters or market conditions.
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WHAT THIS INDICATOR IS — AND ISN'T
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This Indicator IS:
✅ State-transition detector (balance → imbalance)
✅ Early warning system for momentum shifts
✅ Anticipation tool for pre-positioning
✅ Statistical framework with built-in accountability
This Indicator IS NOT:
❌ Mechanical buy/sell system (requires discretion)
❌ Trend-following indicator
❌ Reversal-only indicator
❌ Replacement for risk management
Best Use Cases:
• Detecting early reversals before obvious confirmation
• Anticipating breakouts during volatility compression
• Timing pullback entries in established trends
• Identifying exhaustion at momentum climaxes
Challenging Conditions:
• Extremely low volume environments
• News-driven gaps (no order flow to measure)
• Instruments with unreliable volume data
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ORIGINALITY STATEMENT
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Innovation 1: Third-Derivative Order Flow Analysis
While first and second derivatives are common, applying third-derivative (jerk) analysis to cumulative volume delta is novel. This captures inflection points that lower-order analysis misses entirely.
Innovation 2: Z-Score Adaptive Thresholds
Rather than fixed thresholds that require per-instrument tuning, z-score normalization creates self-adapting signal levels that work consistently across any liquid instrument.
Innovation 3: Confidence-Weighted Visual System
Dynamic orb sizing and transparency based on signal strength provides intuitive visual hierarchy. Stronger signals literally appear larger and brighter.
Innovation 4: Integrated Accountability
Built-in backtester with optimizer mode enables parameter validation directly on chart. No external tools or spreadsheets required.
Innovation 5: Dual-Pane Execution Visualization
Force-overlay chart signals bridge the gap between indicator pane and price action, enabling immediate visual trade review.
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LIMITATIONS & DISCLAIMERS
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Technical Limitations
• Volume classification uses bar direction (close vs prior close), not tick-level aggressor data. Precision loss estimated 10-15% vs institutional-grade data.
• CVD approximation assumes volume follows price direction. Works well in trending conditions; less precise in choppy markets.
• Backtester uses fixed hold period, not optimal exit logic. Real performance may vary with proper trade management.
Market Limitations
• Requires meaningful volume data. Avoid instruments with reported volume issues.
• Signals may cluster during high-volatility events. Not every signal should be traded.
• Anticipation signals appear early by design. Patience required — price may continue against signal briefly before reversing.
Risk Disclosure
• Trading involves risk of loss. Past performance does not guarantee future results.
• This indicator provides analysis tools, not financial advice.
• Always use proper position sizing and risk management.
• Backtest results are hypothetical and do not include slippage, commissions, or fees.
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RECOMMENDED SETTINGS BY MARKET
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Crypto (BTC, ETH, SOL)
Threshold: 1.8-2.2 | Gamma: 3 | GoG: 5 | Volume: 1.3x | TF: 15min-4H
Notes: Higher volatility produces more signals. Consider higher threshold to filter.
Forex Majors (EURUSD, GBPUSD)
Threshold: 2.0-2.5 | Gamma: 4 | GoG: 6 | Volume: 1.2x | TF: 5min-1H
Notes: Lower volatility requires patience. Volume proxy via tick volume works adequately.
Stocks (Large Cap)
Threshold: 2.0-2.5 | Gamma: 3-4 | GoG: 5-6 | Volume: 1.2x | TF: 15min-Daily
Notes: Real volume data provides cleanest signals. Watch for opening/closing auction distortions.
Futures (ES, NQ, CL)
Threshold: 2.0-2.3 | Gamma: 3 | GoG: 5 | Volume: 1.2x | TF: 5min-1H
Notes: Excellent volume data. Session boundaries may produce false signals — consider RTH only.
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CONCLUSION
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Gamma of Gamma represents a fundamental shift in signal philosophy: from reacting to momentum to anticipating momentum.
By operating at the third derivative of order flow, this system detects the mathematical signatures of regime transition — the moments when current pressure dynamics become unsustainable and reversal becomes probable.
This is not another oscillator telling you what already happened. This is an anticipation engine positioning you for what's about to happen.
Stop chasing. Start anticipating.
RSI tells you where momentum was. GoG tells you where it's going.
Taking you to school. - Dskyz , Trade with probability. Trade with anticipation. Trade with GoG
M-oscillator
Overshoot Stop Detector (EMA20 + ATR)How to read the signals (to match what you're doing):
An "OS" (Offside) above the previous bar indicates an overshoot.
A "STOP" (Stop) below the current bar indicates a potential "stop-loss" after an overshoot.
Then you can set a Beer-style trigger, for example:
Enter when the price breaks through the high of the STOP bar.
Or enter when the price closes green above the high of the STOP bar.
Then set your TP (Take Profit) at 10 to 15% as you've hypothesized.
Secuencia estricta (pendiente) HMA->RSI BB"The code combines a 100-period HMA as the first condition, and an RSI smoothed by a Bollinger Band set to default parameters of 24 and 1 standard deviation. The first condition is that the price is above or below the HMA. The second condition is that the RSI moves above or below the Bollinger Bands. Depending on how the conditions align, the system takes either a short or a long position."
Elite Risk-On/Risk-Off Oscillator (6 pairs) The Elite Risk-On / Risk-Off Oscillator is a market-regime indicator designed to determine whether conditions favor aggressive risk-taking or defensive capital preservation rather than to predict price direction.
It combines six carefully selected relative-strength pairs that measure risk appetite across the most important parts of the market:
IEI/HYG (credit stress, weighted most heavily because credit often leads equities)
SPHB/SPLV (equity risk appetite via high-beta versus low-volatility stocks)
IWM/SPY (liquidity and growth sensitivity through small-caps versus large-caps)
MTUM/QUAL (trend durability versus balance-sheet quality)
XLY/XLP (consumer cyclicality, wants versus needs)
EEM/SPY (global risk and dollar-sensitive capital flows)
Each pair is evaluated using relative performance against a moving-average and slope filter to classify it as risk-on (+1), neutral (0), or risk-off (-1), with defensive ratios inverted so that positive readings always indicate risk-on conditions; the weighted signals are then aggregated, normalized to a -100 to +100 scale, and smoothed into a single oscillator. Readings above approximately +40 indicate a supportive risk-on environment where trends are more likely to persist, readings between -40 and +40 reflect transitional or choppy conditions with lower conviction, and readings below -40 signal a risk-off regime where capital preservation and defense should be prioritized.
The indicator is intended as a context and position-sizing tool, helping traders align strategy aggressiveness with underlying market conditions rather than relying on forecasts or narratives.
Forecast OscillatorGeneral Overview
The Forecast Oscillator Plus (FOSC+) is not just another oscillator. It is an advanced quantitative analysis tool developed to bridge the gap left by traditional momentum indicators (like RSI or Stochastic) which often suffer from "lag" or remain pinned in extreme zones during strong trends.
This "Plus" version has been specifically engineered and optimized for high-velocity scalping and day-trading on assets like NAS100 (Nasdaq) and XAUUSD (Gold) using ultra-short timeframes (1-min, 5-min).
🛡️ Why is FOSC+ Different?
1. Linear Regression Intelligence
At the heart of this script is a powerful Linear Regression (LinReg) engine. Instead of comparing price to a simple average, FOSC+ calculates the percentage deviation between the current price and its predicted theoretical trajectory. This allows the indicator to identify not just if the price is "high" or "low," but if it is abnormally distanced from its current trend, signaling an imminent Mean Reversion.
2. Adaptive Dynamic Bands (Volatility-Adjusted)
A major weakness of classic oscillators is the use of fixed levels (e.g., 80/20). FOSC+ utilizes Standard Deviation to generate overbought and oversold zones that "breathe" with the market.
During high volatility, the bands expand to filter out noise and premature entries.
During low volatility, they tighten to capture precise turning points.
3. Institutional Volume Filter (Anti-Fakeout)
To succeed in the Nasdaq market, you must follow the "Smart Money." This script integrates a Volume Spike Filter. A signal (Buy/Sell) is only triggered if the current candle's volume is significantly higher than its moving average (adjustable multiplier). This ensures you only enter trades backed by real institutional strength.
4. Algo-Ready for PineConnector
The code has been structured for seamless automation. With built-in EMA smoothing to reduce 1-minute "market chatter," the signals are clean and sharp, minimizing execution errors when sending orders to MetaTrader 5 via PineConnector.
📈 Technical Trading Guide
Buy Signals (Green Triangle): Occur when the oscillator crosses above the dynamic oversold band OR crosses back above the zero line, provided that volume confirms the impulse.
Sell Signals (Red Triangle): Occur when the oscillator crosses below the dynamic overbought band OR breaks below the zero line from above, with volume confirmation.
Momentum Histogram: The colored columns indicate acceleration strength. Excellent for Trailing Stops: as long as the histogram is growing, the momentum is in your favor!.
⚙️ Recommended Parameters
Length (14): The "Sweet Spot" for balancing reactivity and reliability.
Smooth Len (4): Essential for 1-min charts to eliminate micro-fluctuations without adding lag.
Volume Mult (1.15): Filters out the bottom 15% of volume to keep only significant candles.
⚠️ Stress-Tested for Real Conditions
This script has been rigorously backtested with Slippage settings ranging from 10 to 25 points. Even under difficult market conditions with high spreads, the indicator maintains a positive expectancy, making it a premier tool for traders using Standard or Raw accounts.
Unreached Highs/Lows Oscillator [LuxAlgo]The Unreached Highs/Lows Oscillator highlights the amount of unreached high/low prices as a percentage over time, helping visualize trend strength and momentum from bullish and bearish market participants.
🔶 USAGE
This indicator measures the strength of directional price movements, helping traders visualize the strength of both the bullish and bearish market participants.
When prices are moving up with strength, the price structure will not come back to retest previous lows. Therefore, unreached lows keep adding up.
When prices are moving down with strength, they will not retest previous highs; therefore, unreached highs keep adding up.
As we can see on the chart, high readings of unreached highs (red) and low readings of unreached lows (green) are considered bearish, and a downtrend in price confirms this bias. Conversely, high readings of unreached lows and low readings of unreached highs are considered bullish. On the chart, this is reflected as an uptrend.
Additionally, the oscillator can reveal significant breakouts on the chart, with unreached highs or lows decreasing rapidly indicating that a large number of highs/lows have been reached.
Due to the oscillator being normalized, overbought and oversold levels are included.
In this gold chart, we have different examples of how to use the tool in conjunction with price behavior to understand the market. Let's dissect it step by step:
1. Uptrend: Bullish readings are above 80, and bearish readings are below 20. The market is trending up.
2. Range: Mixed readings around 50 for both bullish and bearish; the market is ranging.
3. Uptrend: The same as before. Bullish above 80 and bearish below 20.
4. Pullback: A bullish dip below 80 to 50 and a bearish reading below 20 indicates a pullback.
5. Range: Mixed readings. In this case, it is bullish above and below 80 and bearish above and below 20. The market is ranging.
6. Uptrend: Bullish above 80 and bearish below 20; the market keeps moving up.
7. Pullback: Bullish dips below 80 and bearish rises to 50 indicate a pullback.
8. Uptrend: As before, bullish is above 80 and bearish is below 20; the market is trending up.
This Bitcoin chart shows how to use extreme readings of 0 and 100 to detect potential reversals. When both readings are at extreme opposites, we set the threshold level at 100 and 0 instead of the default levels of 80 and 20 to better identify these areas.
As we can see, extreme readings at points 1 and 5 identify major reversals that lead to a change in trend. Extreme readings at points 2, 3, 4, and 6 identify minor reversals that do not lead to a change in trend.
From the settings panel, traders can adjust the length parameter. A smaller value measures smaller price movements, while a larger value measures larger price movements. A length value of 20 is used by default.
The chart shows how different values affect bullish and bearish measures.
🔶 SETTINGS
Length: Select the maximum number of highs and lows to be used.
🔹 Style
Bullish: Select a color for unreached lows.
Bearish: Select a color for unreached highs.
Top Threshold: Select the top threshold level and color. Enable the Auto feature to choose the default color.
Bottom Threshold: Select the bottom threshold level and color. Enable the Auto feature to choose the default color.
Regression Slope Oscillator [BigBeluga]🔵 OVERVIEW
The Regression Slope Oscillator is a trend–momentum tool that applies multiple linear regression slope calculations over different lookback ranges, then averages them into a single oscillator line. This design helps traders visualize when price is extending beyond typical regression behavior, as well as when momentum is shifting up or down.
🔵 CONCEPTS
Regression Slope – Measures the steepness and direction of price trends over a selected length.
f_log_regression(src, length) =>
float sumX = 0.0
float sumY = 0.0
float sumXSqr = 0.0
float sumXY = 0.0
for i = 0 to length - 1
val = math.log(src )
per = i + 1.0
sumX += per
sumY += val
sumXSqr += per * per
sumXY += val * per
slope = (length * sumXY - sumX * sumY) / (length * sumXSqr - sumX * sumX)
slope*-1
Multi–Sample Averaging – Instead of relying on one regression slope, the indicator loops through many lengths (from Min Range to Max Range with Step increments) and averages their slopes.
multiSlope(length)=>
// Get regression slope
slope = f_log_regression(close, length)
slopAvg.push(slope)
for i = minRange to maxRange by step
multiSlope(i)
Color Gradient – The oscillator and candles are colored dynamically from oversold (orange) to overbought (aqua), based on slope extremes observed within the user–defined Color Range.
Trend Oscillation – When the oscillator rises, price trend is strengthening; when it falls, momentum weakens.
🔵 FEATURES
Calculates regression slopes across a user–defined range (e.g., 10–100 with steps of 5).
Averages all sampled slopes into a single oscillator line.
Dynamic coloring of oscillator and chart candles based on slope values.
User–controlled Color Range :
High values (e.g., 50–100) → interpret as overbought vs oversold zones.
Low values (e.g., 2–5) → interpret as slope rising vs falling momentum shifts.
Dashboard table (top–right) displaying number of slope samples and current averaged slope value.
Candle coloring mode (optional) – candles take on the oscillator gradient color for at–a–glance reading of trend bias.
Signal Line (SMA) – A moving average of the slope oscillator used to identify momentum reversals.
Bullish Reversal Signal – Triggered when the oscillator crosses above the signal line while below zero, indicating downside momentum exhaustion and potential trend recovery.
Bearish Reversal Signal – Triggered when the oscillator crosses below the signal line while above zero, indicating upside momentum exhaustion and potential trend rollover.
Dual Placement Signals – Reversal signals are plotted both:
On the oscillator pane (for momentum context)
On the price chart (for execution alignment)
Confirmation Logic – Signals are only printed on confirmed bars to reduce repainting and false triggers.
🔵 HOW TO USE
Watch the oscillator cross above/below zero: signals shifts in regression slope direction.
Use the signal line crossovers near zero to identify early trend reversals.
Use high Color Range settings to identify potential overbought/oversold extremes in trend slope.
Use low Color Range settings for a faster, momentum–driven color change that tracks slope rising/falling.
Candle coloring highlights short–term trend pressure in sync with the oscillator.
Combine reversal signals with structure, support/resistance, or volume for higher–probability entries.
🔵 CONCLUSION
The Regression Slope Oscillator transforms raw regression slope data into a smooth, color–coded oscillator. By averaging across multiple regression lengths, it avoids the noise of single–range analysis while still capturing trend extensions and momentum shifts.
With the addition of signal line crossovers and confirmed reversal markers, the indicator now provides both trend context and actionable momentum signals within a single regression-based framework.
Multi-Factor ConsensusMFC (Market Field Coherence)
A Triumph of Complexity: The Fusion of Three Professional Engines to Visualize the Unified
Mind of the Market
█ OVERVIEW: BEYOND THE INDICATOR
This is not another lagging indicator. This is a command suite.
MFC (Market Field Coherence) is not a single tool, but a seamless integration of three professional-grade, independent analytical engines fused into a singular, awe-inspiring system. It's a masterwork of signal processing and applied mathematics designed to visualize the invisible—the collective, underlying state of the market.
It moves beyond the simplistic analysis of individual price bars to measure something far more profound: the degree of emergent coherence across an entire ensemble of market oscillators. While traditional tools see the market as a series of disconnected data points, MFC sees it as a dynamic, fluctuating field of forces. By deploying its three specialized engines, MFC identifies moments of critical transition when disparate, chaotic market inputs converge into a single, unified, and tradable state of being. It measures the very instant the "noise" becomes a "symphony," and generates signals only when all three engines are in unanimous agreement.
█ A TRINITY OF SYSTEMS: THREE INDICATORS IN ONE
MFC's unparalleled precision comes from its unique tripartite architecture. It is not a monolithic tool. It is a fusion of three distinct, professional-grade analytical engines, each performing a critical and independent function. Their synergy is what produces the high-quality, filtered signals and the profound analytical clarity.
ENGINE 1: The Quantum Coherence Engine
The heart of the system. This is a pure regime-detection indicator. Its sole purpose is to perform the heavy lifting of converting the oscillator ensemble into complex-plane phasors and calculating the two most critical metrics: the Coherence Index (CI) and the Dominant Phase . It constantly works to answer the primary question: " How unified is the market, and in which direction is it leaning? "
ENGINE 2: The Multi-Layer Confirmation Matrix
A high CI from the first engine is not enough. This second, independent engine acts as the ultimate quality filter. It is, in essence, a sophisticated confirmation indicator that runs two rigorous, non-negotiable checks: the Phase-Lock Detector (is the alignment tight enough?) and the Pairwise Entanglement Web (is the alignment broad-based and not a fluke?). This is a purely logical system designed to reject ambiguity, eliminate false positives, and validate the findings of the Coherence Engine. It answers the crucial follow-up question: " Is this detected coherence real, or is it a statistical ghost? "
ENGINE 3: The Advanced Visualization Suite
Raw data is meaningless without interpretation. This third engine is a full-fledged visual indicator in its own right, dedicated to translating the abstract mathematics from the other two engines into an intuitive, multi-dimensional language. Featuring the revolutionary Circular Orbit Plot , the atmospheric Quantum Field Cloud , and deep-dive analytical grids, it allows you to see the market's state in a way that numbers alone never could. It answers the final question: " What does this confirmed state of coherence actually look like? "
An Ignition Signal only fires when all three of these independent systems reach a unanimous conclusion. This is the source of MFC's power and precision.
█ THE PHILOSOPHY & THEORETICAL FOUNDATION
MFC is built upon a synthesis of advanced mathematical frameworks, each chosen for its unique ability to extract a deeper layer of truth from market data. Their combination across the three engines creates a system far greater than the sum of its parts.
1. The Kernel: Gaussian-Weighted Smoothing for Intelligent Lag Reduction
Simple and Exponential Moving Averages are primitive tools. MFC's engines reject them. We employ a Gaussian Kernel for all internal smoothing. This "bell curve" weighting assigns the most significance to the most recent data, gracefully decaying influence for older data. The result is a beautifully smooth yet highly responsive measure of coherence, fundamentally reducing the lag that plagues other systems.
The formula for the weight w at a distance i from the center μ is:
w(i) = exp(- (i - μ)² / (2 * σ²))
2. The Lens: Sigmoid Normalization for Non-Linear State Definition
To compare an RSI of 80 to a MACD of 0.5, MFC utilizes the robust and mathematically elegant Sigmoid (Logistic) Function. Its non-linear, "S-shaped" curve squashes any input into a perfect, bounded range, creating extreme sensitivity near the neutral midpoint and gracefully compressing values at the extremes. This provides a crystal-clear distinction between "weak," "strong," and "extreme" conditions.
f(x) = 1 / (1 + exp(-k * x))
3. The Engine: Complex-Plane Phasors for Coherence Measurement
This is the heart of Engine 1. Each normalized oscillator is transformed from a single scalar value into a two-dimensional vector (a phasor) in the complex plane, capturing its magnitude (strength) and its phase angle (position and velocity).
Resultant Vector (R) = Σ e^(iφₙ) = Σ cos(φₙ) + i·Σ sin(φₙ)
The Coherence Index (CI) is the magnitude of this resultant vector, normalized by the number of oscillators N:
CI = |R| / N
This mathematical blending— Gaussian smoothing for clean data, Sigmoid normalization to define state, and Complex-Plane Analysis to measure collective coherence—is what allows MFC to generate insight that is simply impossible to achieve with conventional tools.
█ THE INPUTS MENU: YOUR COMMAND & CONTROL
Every parameter is exposed, allowing you to fine-tune MFC's three engines to any instrument, timeframe, or trading style. Here is an exhaustive guide:
Oscillator Settings (Engine 1)
Enable/Disable Toggles & Lengths: Construct the perfect ensemble for your market. Shorter lengths for scalping (e.g., 5m chart), longer lengths for swing trading (e.g., 4H chart). Disable any oscillator that consistently acts as an outlier to reduce noise.
Normalization Anchors: Define the "extreme" boundaries for the Sigmoid function. Widen these anchors (e.g., RSI 80/20) for highly volatile assets to better capture the larger price swings.
Coherence & Confirmation Settings (Engines 1 & 2)
CI Smoothing Window: Controls the Gaussian Kernel for the final Coherence Index. A short window (2-4) offers a fast reaction for scalpers. A longer window (5-10) creates a smoother CI line for swing traders.
Ignition Threshold: The CI level needed to activate a signal check. A lower threshold (0.70) generates more signals. A higher threshold (0.85) produces fewer, but extremely high-conviction signals.
Phase Lock Tolerance & Min Entangled Pairs: These are the core parameters for the Confirmation Engine (Engine 2). Use tighter tolerances (e.g., 25°) and a higher number of pairs (e.g., 5+) to demand an incredibly high standard for signal confirmation.
█ THE DASHBOARD: YOUR QUANTITATIVE READOUT
The dashboard provides a real-time, numerical dissection of the market field, summarizing the outputs of all three engines.
CI (Coherence Index): What it is: The master metric from Engine 1. How to interpret: < 40% (Chaos): The market is disjointed. 40-70% (Coherent): A regime is forming. > 70% (Ignition Zone): High consensus.
Dom Phase (Dominant Phase): What it is: The "average" direction from Engine 1. How to interpret: The arrow gives the immediate directional bias.
Field Strength: What it is: CI × Average Amplitude . How to interpret: Measures alignment with conviction. A high Field Strength is the signature of a powerful, aggressive trend.
Entangled Pairs & Phase Lock: What they are: The direct readouts from the Confirmation Engine (Engine 2). How to interpret: The 🔒 symbol and a high pair count are the final "green lights" before a signal can be generated.
State: What it is: A real-time classification of the market's condition based on the combined output of all engines. How to interpret:
🚀 IGNITION: All three engines are in unanimous, bullish/bearish agreement.
⚡ COHERENT: The trend is healthy and coherence is stable.
💥 COLLAPSE: The regime's integrity is compromised.
🌀 CHAOS: The market is unpredictable.
Collapse Risk: What it is: A 0-100% gauge measuring the rate of recent CI decay. How to interpret: A leading indicator for trend exhaustion. A value rising above 50% is a powerful signal to tighten stops.
█ THE VISUALS: THE ART OF ANALYSIS (ENGINE 3)
The Visualization Suite (Engine 3) translates the complex calculations into an intuitive visual language. Learning to read these displays is like learning to see the market in a new dimension.
The Circular Orbit Plot: The soul of MFC. A polar grid showing each oscillator as a labeled vector.
Angle = Phase, Length = Amplitude. Watch for Convergence: when scattered vectors cluster into a single quadrant, you are witnessing the birth of a new regime in real-time.
The Quantum Field Cloud: An atmospheric overlay on the price chart.
Color = Dominant Phase ( Green for bullish, Red for bearish). Opacity = Coherence Index . A dense, opaque cloud signifies an extremely strong, coherent regime.
The Entanglement Web Matrix & Phase-Time Heat Map: Deep-dive analytical tools. Use the Web to diagnose the quality and breadth of coherence. Use the Heat Map to identify historical patterns and pivotal moments of unified market phase.
█ THE DEVELOPMENT: A QUEST FOR TRUTH
MFC was not created to be just another tool. It was engineered to solve the fundamental ambiguity of technical analysis by creating a system of checks and balances between three specialized engines. I sought to replace subjective interpretation with objective, multi-stage mathematical measurement. The choice of Gaussian kernels, Sigmoid functions, and complex-plane analysis was a deliberate decision to embrace the multi-dimensional reality of market dynamics rather than simplifying it into a single, misleading number.
This is a tool for the discerning trader who understands that the market is not a random walk, but a complex, adaptive system. MFC provides a new set of senses to perceive the behavior of that system.
"The financial markets are generally unpredictable. So that one has to have different scenarios... The idea that you can actually predict what's going to happen contradicts my way of looking at the market."
— George Soros
MFC does not predict. It measures . Its three engines work in concert to provide a high-resolution image of the market's current state , allowing you to align yourself with moments of profound clarity and step aside during times of absolute chaos. Trade the coherence, not the forecast.
█ IMPORTANT WARNINGS & DISCLAIMER
This tool is designed for analytical and informational purposes. It identifies periods of high statistical confluence based on the behavior of technical oscillators. This is not a "signal" service and provides no financial advice.
RISK OF LOSS: All trading and investment activities involve substantial risk of loss. Do not trade with capital you cannot afford to lose.
NO GUARANTEE: This indicator does not guarantee profits or prevent losses. Past performance is not indicative of future results.
USE CONFIRMATION: "Ignition" markers denote a unanimous conclusion from all three internal engines, not explicit instructions to buy or sell. They should be used as one component within a comprehensive trading plan.
REGIME DEPENDENT: The effectiveness of this tool is dependent on market conditions. It performs best in markets with clear cyclical behavior.
Taking you to school. - Dskyz, Trade with probability. Trade with consensus. Trade with MFC.
RSI Chebyshev Pro with Goldilocks Fractals - NR [NPR21]RSI Chebyshev Pro with Goldilocks Fractals - Non-Repaint
CHART INFORMATION
Instrument: /MNQ (Micro E-mini Nasdaq-100 Futures)
Timeframe: 2-minute
Indicator: RSI Chebyshev Pro with Goldilocks Fractals - NR
THE PROBLEM
Standard RSI is too choppy and noisy – it whipsaws all over the place in volatile markets like futures, giving false oversold/overbought signals that burn you on entries. I was sick of missing real reversals or getting stopped out on fakeouts. I wanted something smoother that still catches the big momentum shifts without lagging too much, plus actual market structure to make it more reliable for quick trades.
WHAT MAKES THIS UNIQUE
Unlike basic RSI indicators that use simple moving average smoothing, this combines several advanced techniques that aren't commonly found together:
1. Chebyshev Type I Filtering - Signal processing mathematics (not basic EMAs) that kills noise while keeping real swings sharp. Most RSI smoothing just blurs everything - this keeps responsiveness without the chop.
2. MAMA Adaptive Period - The moving average adapts to actual market cycles using the MESA algorithm, not fixed periods that lag in changing conditions.
3. RSI Pivot Fractals - These aren't price fractals slapped onto RSI. The fractals detect pivots directly on RSI values at extreme levels, with signals appearing back at the exact pivot bar (not current bar), showing you where the actual reversal happened.
4. True Non-Repainting Implementation - Signals appear delayed BUT locked at the historical pivot location forever. What you see in backtests is exactly what appeared live - no vanishing signals, no shifting.
5. All-in-One Integration - Instead of running 3-4 separate indicators (RSI + fractals + patterns + smoothing), everything works together in a single, optimized calculation with confluence built in.
This isn't just RSI with some Williams Fractals thrown on top - it's a complete rethink of how to identify high-probability RSI reversals using signal processing and adaptive algorithms.
ORIGIN & ENHANCEMENTS
Original Source: ChartPrime RSI Chebyshev indicator
Converted & Enhanced by: NPR21
What I Added:
✅ Converted to Pine Script v6 - Made this available to TradingView traders
✅ Goldilocks Fractals - RSI alone doesn't tell you about price structure. These fractals nail those "just right" pivot points where highs/lows confirm. I kept seeing RSI extremes that reversed hard when they lined up with fractals - this was the missing piece for confluence.
✅ 100% Non-Repainting - I've been burned by repainters. You'd backtest something, looks amazing, then live it vanishes or shifts. Lost real money on that. This is rock-solid: signals show delayed but once they're there, they're locked forever. Makes backtesting trustworthy.
✅ Candlestick Patterns - Engulfing, Morning Star, Evening Star detection for confluence
✅ Customizable Visuals - BUY/SELL labels, multiple display styles, full color/size control
✅ Complete Alert System - Get notified on all signal types
HOW IT WORKS
Chebyshev Filtering:
Like putting noise-canceling on your RSI – smooths out jittery ups and downs from random price spikes without flattening into useless lag. It's signal processing math that keeps important swings sharp while killing BS noise. Way better than simple EMA smoothing that blurs everything.
The Components:
Ultra-Smooth RSI - Chebyshev Type I filtering + adaptive MAMA algorithm
Goldilocks Fractals - Pivot detection confirmed after N bars (default 5)
Pattern Recognition - Detects Engulfing, Morning/Evening Star patterns
Visual Styles - Candle Trend (hollow green/solid red) or traditional candles
SIGNAL DELAY vs REPAINTING
✅ THIS HAS SIGNAL DELAY (GOOD) - NOT REPAINTING (BAD)
Signal Delay:
Signals appear after N bars (default 5 bar delay)
Once visible, NEVER disappears or moves
Perfect for backtesting - 100% reliable
What you see in history is what you'd see live
Why the Delay:
To confirm a pivot, we need to see price didn't go lower/higher in the next N bars. This confirmation makes signals reliable. The delay is the price for trustworthy signals.
Want faster? Drop Fractal Periods to 2-3 (more signals, less confirmation).
HOW I TRADE IT
My /MNQ Scalping (1-3 min charts):
LONG: BUY label appears (down fractal + maybe morning star/engulfing) → Check RSI crossing up from oversold (<30) → Confirm with volume → Long with stop below fractal low → Target 1-2R
SHORT: SELL label (up fractal + maybe evening star) → RSI from overbought → Short with stop above
Filter: Only longs in uptrends (watch the MA). Exit partials if momentum fades.
Best Timeframes: 1-5 min for futures scalping. Works on 15 min for swings but for pure scalping, stay under 5 min in high-vol sessions.
SETTINGS I USE
Standard Setup:
Length: 24, Smoothing: 3
Auto MA: ON, Multiplier: 1-2
Fractal Periods: 5 (good confirmation)
Choppy Days:
Smoothing to 5
Aggressive:
Fractal Periods to 3
Pro Tip: Pair with volume or price EMA. Love when fractal BUY + engulfing bull align. Use Candle Trend style. Test on demo first.
KEY SETTINGS
RSI: Length (24), Smoothing (3), Auto MA, Style (Candle/Candle Trend)
Fractals: Periods (5 = more reliable, 3 = faster/riskier), Label colors/sizes, Offsets
Alerts: All signals fire only on confirmed, non-repainting events
DISCLAIMERS
⚠️ Tool, not a complete system - use proper risk management
⚠️ Signals have delay for reliability - not for instant entries
⚠️ Best with price action, volume, other analysis
⚠️ Test on demo before live trading
Questions? Comment below!
NPR21
RSI Chebyshev Pro with Goldilocks Fractals - NR [NPR21]RSI Chebyshev Pro with Goldilocks Fractals - Non-Repaint
----------------------------------------------------------------------------------------------------------------------
CHART INFORMATION
Instrument: /MNQ (Micro E-mini Nasdaq-100 Futures)
Timeframe: 2-minute
Indicator: RSI Chebyshev Pro with Goldilocks Fractals - NR
----------------------------------------------------------------------------------------------------------------------
THE PROBLEM
Standard RSI is too choppy and noisy – it whipsaws all over the place in volatile markets like futures, giving false oversold/overbought signals that burn you on entries. I was sick of missing real reversals or getting stopped out on fakeouts. I wanted something smoother that still catches the big momentum shifts without lagging too much, plus actual market structure to make it more reliable for quick trades.
WHAT MAKES THIS UNIQUE
Unlike basic RSI indicators that use simple moving average smoothing, this combines several advanced techniques that aren't commonly found together:
1. Chebyshev Type I Filtering - Signal processing mathematics (not basic EMAs) that kills noise while keeping real swings sharp. Most RSI smoothing just blurs everything - this keeps responsiveness without the chop.
2. MAMA Adaptive Period - The moving average adapts to actual market cycles using the MESA algorithm, not fixed periods that lag in changing conditions.
3. RSI Pivot Fractals - These aren't price fractals slapped onto RSI. The fractals detect pivots directly on RSI values at extreme levels, with signals appearing back at the exact pivot bar (not current bar), showing you where the actual reversal happened.
4. True Non-Repainting Implementation - Signals appear delayed BUT locked at the historical pivot location forever. What you see in backtests is exactly what appeared live - no vanishing signals, no shifting.
5. All-in-One Integration - Instead of running 3-4 separate indicators (RSI + fractals + patterns + smoothing), everything works together in a single, optimized calculation with confluence built in.
This isn't just RSI with some Williams Fractals thrown on top - it's a complete rethink of how to identify high-probability RSI reversals using signal processing and adaptive algorithms.
ORIGIN & ENHANCEMENTS
Original Source: ChartPrime RSI Chebyshev indicator
Converted & Enhanced by: NPR21
What I Added:
✅ Converted to Pine Script v6 - Made this available to TradingView traders
✅ Goldilocks Fractals - RSI alone doesn't tell you about price structure. These fractals nail those "just right" pivot points where highs/lows confirm. I kept seeing RSI extremes that reversed hard when they lined up with fractals - this was the missing piece for confluence.
✅ 100% Non-Repainting - I've been burned by repainters. You'd backtest something, looks amazing, then live it vanishes or shifts. Lost real money on that. This is rock-solid: signals show delayed but once they're there, they're locked forever. Makes backtesting trustworthy.
✅ Candlestick Patterns - Engulfing, Morning Star, Evening Star detection for confluence
✅ Customizable Visuals - BUY/SELL labels, multiple display styles, full color/size control
✅ Complete Alert System - Get notified on all signal types
HOW IT WORKS
Chebyshev Filtering:
Like putting noise-canceling on your RSI – smooths out jittery ups and downs from random price spikes without flattening into useless lag. It's signal processing math that keeps important swings sharp while killing BS noise. Way better than simple EMA smoothing that blurs everything.
The Components:
Ultra-Smooth RSI - Chebyshev Type I filtering + adaptive MAMA algorithm
Goldilocks Fractals - Pivot detection confirmed after N bars (default 5)
Pattern Recognition - Detects Engulfing, Morning/Evening Star patterns
Visual Styles - Candle Trend (hollow green/solid red) or traditional candles
SIGNAL DELAY vs REPAINTING
✅ THIS HAS SIGNAL DELAY (GOOD) - NOT REPAINTING (BAD)
Signal Delay:
Signals appear after N bars (default 5 bar delay)
Once visible, NEVER disappears or moves
Perfect for backtesting - 100% reliable
What you see in history is what you'd see live
Why the Delay:
To confirm a pivot, we need to see price didn't go lower/higher in the next N bars. This confirmation makes signals reliable. The delay is the price for trustworthy signals.
Want faster? Drop Fractal Periods to 2-3 (more signals, less confirmation).
HOW I TRADE IT
My /MNQ Scalping (1-3 min charts):
LONG: BUY label appears (down fractal + maybe morning star/engulfing) → Check RSI crossing up from oversold (<30) → Confirm with volume → Long with stop below fractal low → Target 1-2R
SHORT: SELL label (up fractal + maybe evening star) → RSI from overbought → Short with stop above
Filter: Only longs in uptrends (watch the MA). Exit partials if momentum fades.
Best Timeframes: 1-5 min for futures scalping. Works on 15 min for swings but for pure scalping, stay under 5 min in high-vol sessions.
SETTINGS I USE
Standard Setup:
Length: 24, Smoothing: 3
Auto MA: ON, Multiplier: 1-2
Fractal Periods: 5 (good confirmation)
Choppy Days:
Smoothing to 5
Aggressive:
Fractal Periods to 3
Pro Tip: Pair with volume or price EMA. Love when fractal BUY + engulfing bull align. Use Candle Trend style. Test on demo first.
KEY SETTINGS
RSI: Length (24), Smoothing (3), Auto MA, Style (Candle/Candle Trend)
Fractals: Periods (5 = more reliable, 3 = faster/riskier), Label colors/sizes, Offsets
Alerts: All signals fire only on confirmed, non-repainting events
DISCLAIMERS
⚠️ Tool, not a complete system - use proper risk management
⚠️ Signals have delay for reliability - not for instant entries
⚠️ Best with price action, volume, other analysis
⚠️ Test on demo before live trading
Questions? Comment below!
NPR21
RSI Chebyshev Pro with Goldilocks Fractals - NR [NPR21]RSI Chebyshev Pro with Goldilocks Fractals - Non-Repaint
==================================================================================
**CHART INFORMATION**
The example chart shown displays:
- Instrument: /MNQ (Micro E-mini Nasdaq-100 Futures)
- Timeframe: 2-minute
- Indicator: RSI Chebyshev Pro with Goldilocks Fractals - NR
==================================================================================
═════════════════════════════════════════════════════════════
THE PROBLEM
Standard RSI is too choppy and noisy – it whipsaws all over the place in volatile markets like futures, giving false oversold/overbought signals that burn you on entries. I was sick of missing real reversals or getting stopped out on fakeouts. I wanted something smoother that still catches the big momentum shifts without lagging too much, plus actual market structure to make it more reliable for quick trades.
═════════════════════════════════════════════════════════════
WHAT MAKES THIS UNIQUE
Unlike basic RSI indicators that use simple moving average smoothing, this combines several advanced techniques that aren't commonly found together:
1. Chebyshev Type I Filtering - Signal processing mathematics (not basic EMAs) that kills noise while keeping real swings sharp. Most RSI smoothing just blurs everything - this keeps responsiveness without the chop.
2. MAMA Adaptive Period - The moving average adapts to actual market cycles using the MESA algorithm, not fixed periods that lag in changing conditions.
3. RSI Pivot Fractals - These aren't price fractals slapped onto RSI. The fractals detect pivots directly on RSI values at extreme levels, with signals appearing back at the exact pivot bar (not current bar), showing you where the actual reversal happened.
4. True Non-Repainting Implementation - Signals appear delayed BUT locked at the historical pivot location forever. What you see in backtests is exactly what appeared live - no vanishing signals, no shifting.
5. All-in-One Integration - Instead of running 3-4 separate indicators (RSI + fractals + patterns + smoothing), everything works together in a single, optimized calculation with confluence built in.
This isn't just RSI with some Williams Fractals thrown on top - it's a complete rethink of how to identify high-probability RSI reversals using signal processing and adaptive algorithms.
═════════════════════════════════════════════════════════════
ORIGIN & ENHANCEMENTS
Original Source: ChartPrime RSI Chebyshev indicator
Converted & Enhanced by: NPR21
What I Added:
✅ Converted to Pine Script v6 - Made this available to TradingView traders
✅ Goldilocks Fractals - RSI alone doesn't tell you about price structure. These fractals nail those "just right" pivot points where highs/lows confirm. I kept seeing RSI extremes that reversed hard when they lined up with fractals - this was the missing piece for confluence.
✅ 100% Non-Repainting - I've been burned by repainters. You'd backtest something, looks amazing, then live it vanishes or shifts. Lost real money on that. This is rock-solid: signals show delayed but once they're there, they're locked forever. Makes backtesting trustworthy.
✅ Candlestick Patterns - Engulfing, Morning Star, Evening Star detection for confluence
✅ Customizable Visuals - BUY/SELL labels, multiple display styles, full color/size control
✅ Complete Alert System - Get notified on all signal types
═════════════════════════════════════════════════════════════
HOW IT WORKS
Chebyshev Filtering:
Like putting noise-canceling on your RSI – smooths out jittery ups and downs from random price spikes without flattening into useless lag. It's signal processing math that keeps important swings sharp while killing BS noise. Way better than simple EMA smoothing that blurs everything.
The Components:
Ultra-Smooth RSI - Chebyshev Type I filtering + adaptive MAMA algorithm
Goldilocks Fractals - Pivot detection confirmed after N bars (default 5)
Pattern Recognition - Detects Engulfing, Morning/Evening Star patterns
Visual Styles - Candle Trend (hollow green/solid red) or traditional candles
═════════════════════════════════════════════════════════════
SIGNAL DELAY vs REPAINTING
✅ THIS HAS SIGNAL DELAY (GOOD) - NOT REPAINTING (BAD)
Signal Delay:
Signals appear after N bars (default 5 bar delay)
Once visible, NEVER disappears or moves
Perfect for backtesting - 100% reliable
What you see in history is what you'd see live
Why the Delay:
To confirm a pivot, we need to see price didn't go lower/higher in the next N bars. This confirmation makes signals reliable. The delay is the price for trustworthy signals.
Want faster? Drop Fractal Periods to 2-3 (more signals, less confirmation).
════════════════════════════════════════════════════════════
HOW I TRADE IT
My /MNQ Scalping (1-3 min charts):
LONG: BUY label appears (down fractal + maybe morning star/engulfing) → Check RSI crossing up from oversold (<30) → Confirm with volume → Long with stop below fractal low → Target 1-2R
SHORT: SELL label (up fractal + maybe evening star) → RSI from overbought → Short with stop above
Filter: Only longs in uptrends (watch the MA). Exit partials if momentum fades.
Best Timeframes: 1-5 min for futures scalping. Works on 15 min for swings but for pure scalping, stay under 5 min in high-vol sessions.
═════════════════════════════════════════════════════════════
SETTINGS I USE
Standard Setup:
Length: 24, Smoothing: 3
Auto MA: ON, Multiplier: 1-2
Fractal Periods: 5 (good confirmation)
Choppy Days: Smoothing to 5
Aggressive: Fractal Periods to 3
Pro Tip: Pair with volume or price EMA. Love when fractal BUY + engulfing bull align. Use Candle Trend style. Test on demo first.
═════════════════════════════════════════════════════════════
KEY SETTINGS
RSI: Length (24), Smoothing (3), Auto MA, Style (Candle/Candle Trend)
Fractals: Periods (5 = more reliable, 3 = faster/riskier), Label colors/sizes, Offsets
Alerts: All signals fire only on confirmed, non-repainting events
═════════════════════════════════════════════════════════════
DISCLAIMERS
⚠️ Tool, not a complete system - use proper risk management
⚠️ Signals have delay for reliability - not for instant entries
⚠️ Best with price action, volume, other analysis
⚠️ Test on demo before live trading
═════════════════════════════════════════════════════════════
Questions? Comment below!
NPR21
All-In-One Trading Toolkit [wjdtks255]Title: All-In-One Trading Toolkit
Description: This professional toolkit integrates 5 essential indicators into one seamless interface to enhance your market analysis. It provides a comprehensive view of trend, momentum, and volatility.
Features:
Bollinger Bands: Tracks price volatility and potential reversal zones.
Ichimoku Cloud: Visualizes long-term trend support and resistance.
RSI Dashboard: Real-time momentum monitoring in the top-right corner.
MACD Signals: Direct Buy/Sell shape indicators on the chart for instant decision making.
Volume Profile: Identifies key price levels with high trading activity.
Strategy:
Entry: Follow the MACD crossover signals (Green/Red triangles) when they align with the Ichimoku Cloud direction.
VWAP Band PositionVWAP Band Position — Synopsis
VWAP Band Position is a session-based oscillator that measures where price is trading relative to volume-weighted VWAP deviation bands.
The indicator uses true VWAP logic with volume-weighted variance, resetting each trading session to ensure accurate intraday behavior.
Values are normalized on a 0–1 scale:
0.0 → price at the lower VWAP deviation band
0.5 → price at VWAP (fair value)
1.0 → price at the upper VWAP deviation band
Readings above 1.0 or below 0.0 indicate price extension beyond VWAP deviation, highlighting potential exhaustion, continuation, or mean-reversion conditions depending on market context.
This tool is designed for intraday traders who use VWAP as a primary reference and want a clear, normalized view of price location within the VWAP range. It works well alongside trend-strength or momentum indicators to help filter entries, manage risk, and identify high-probability trade zones.
Nova Capital MACDNova Capital MACD is a momentum oscillator based on the classic MACD calculation, enhanced with a clean 4-state histogram and optional signal labels.
Core calculation:
MACD Line = Fast MA − Slow MA
Signal Line = MA(MACD Line, Signal Length)
Histogram = MACD Line − Signal Line
Features in this version:
4-state histogram coloring (positive/negative + rising/falling) to visualize momentum changes more clearly.
Optional confirmed-bar behavior (signals trigger only on closed bars).
Optional zero-line directional filter:
Long labels only when MACD is below 0.
Short labels only when MACD is above 0.
Built-in alert conditions for Long/Short events.
How to use:
Watch histogram state changes for momentum transitions.
A Long label appears on MACD crossing above the Signal line (optionally below 0).
A Short label appears on MACD crossing below the Signal line (optionally above 0).
Note: This indicator is not a complete trading system. Use risk management and confirm signals with market context.
Deviation Momentum For Loop | Lyro RSThe Deviation Momentum For Loop is a directional momentum tool that evaluates the persistence of price deviation from a moving average over a historical range using a custom loop-based scoring function. It quantifies relative momentum strength by comparing current deviation to previous values, assigning a net score used to assess trend bias, reversals, and volatility-adjusted strength.
Key Features
Deviation-Based Momentum: Calculates standardized deviation from a selected moving average by subtracting the MA from price and normalizing via standard deviation and a scaling constant. This standardization adjusts for volatility and creates a consistent scoring base across assets and timeframes.
Historical For-Loop Scoring: Implements a user-defined for-loop function that compares current deviation to values from earlier bars (configurable range). Each comparison adds or subtracts from a cumulative score based on whether current deviation exceeds historical ones, producing a dynamic momentum read.
Threshold-Based Signal Logic: Applies user-defined thresholds for long and short signals. If the loop score exceeds the long threshold, a bullish bias is inferred; if it drops below the short threshold, a bearish bias is indicated. These thresholds are plotted for visual clarity.
Multi-Palette Visual System:
Predefined Palettes – Choose from Classic, Mystic, Accented, or Royal schemes for bullish and bearish colors.
Custom Colors – Toggle on custom color selection to manually define bullish (UpC) and bearish (DnC) tones.
Dynamic Visuals – Oscillator line, threshold markers, background shading, bar and candle coloring are applied in real time based on trend state
.
Glow and Overlay Effects: Layered glow lines and optional bar/candle coloring reinforce signal strength and trend status directly on the chart.
Built-In Alerts: Provides alert conditions when the for-loop score crosses above or below the defined thresholds, enabling automated monitoring of trend conditions.
How It Works
MA Calculation – Applies the selected moving average to the chosen price source (e.g., close, open, high). Offers 16 moving average types including SMA, EMA, WMA, TEMA, JMA, FRAMA, ZLSMA, KAMA, and others via the LyroRS/LMAs/1 library.
Deviation Computation – Measures the deviation of price from its moving average, normalized by standard deviation and scaled by a fixed constant factor to account for volatility.
Loop Function – Iterates from user-defined indices (From → To) and compares current deviation to past deviations. Increments score for each instance where current > past, decrements when current < past. The resulting value is plotted as the primary oscillator.
Signal Logic – Long and short threshold values are configurable inputs. Crossing above the long threshold signals bullish bias; crossing below the short threshold signals bearish pressure.
Color Coding & Visual Feedback
Palette or custom colors reflect oscillator's directional state.
Additional glow lines increase signal emphasis.
Background shading highlights crossovers with mid-threshold for enhanced visibility.
Optional bar and candle coloring aligns price visualization with indicator signals.
Practical Use
Momentum Confirmation – Use a score rising above the long threshold as a potential bullish signal; falling below the short threshold may indicate bearish strength.
Volatility Normalization – Standardized deviation ensures consistency across assets of different volatility profiles.
Multi-Timeframe Adaptation – The wide selection of moving averages and loop depth settings allows calibration for scalping, swing, or long-term analysis.
Visual Clarity – Color-coordinated candles, bars, oscillator lines, and background simplify interpretation of signal context and trend structure.
Customization
Select from 16 moving average types to control sensitivity and smoothing.
Adjust loop depth (From/To) to define how far back deviation is compared.
Set custom threshold levels to reflect your preferred sensitivity to momentum shifts.
Customize visuals with predefined palettes or manual color settings for full chart integration.
⚠️Disclaimer
This indicator is a tool for technical analysis and does not provide guaranteed results. It should be used in conjunction with other analysis methods and proper risk management practices. The creators of this indicator are not responsible for any financial decisions made based on its signals.
Apex Adaptive Trail [Neuro-Core Auto]Self-tuning trend and trade management framework
This version is a major functional upgrade of the original Apex Adaptive Trail.
It introduces an Auto-Pilot engine that dynamically adapts the indicator’s behavior to the active chart timeframe, reducing the need for manual tuning while preserving full transparency and control.
1. What Makes This Version Different
Unlike previous versions, v6 AUTO is not configured manually by default.
When Auto-Pilot is enabled, the script:
Detects the chart timeframe
Automatically adjusts ATR length and multiplier
Dynamically sets confidence thresholds
Modifies decay speed and add cooldowns
The result is a timeframe-aware execution model, not a fixed-parameter indicator.
Manual mode remains available for advanced users.
2. Core Architecture (Not a Simple Mashup)
This script is built as a single, state-driven system where each component influences the others.
Adaptive ATR Trail The trailing level defines both:
Trend direction
Dynamic exit logic
Its sensitivity is adjusted using volatility statistics and Auto-Pilot parameters.
Volatility Regime Detection
An ATR Z-Score is used to identify abnormal volatility conditions:
Expands the trail during high volatility
Restricts position adds when volatility is excessive
3. Confidence-Driven Decision Engine
Instead of binary signals, the script computes a normalized confidence score based on:
EMA distance (trend alignment)
ADX (trend strength)
Choppiness Index (market structure)
Daily higher-timeframe bias
All values are merged into a single confidence metric that controls:
Initial entries
Additional entries (pyramiding)
Emergency exits
4. Auto-Pilot Logic (Timeframe Adaptive)
When Auto-Pilot is active, the script selects a behavioral profile:
Turbo Mode (M1–M5): fast reaction, tight decay
Scalp Mode (M15): balanced sensitivity
Day Mode (M30): moderate trend persistence
Swing Mode (H1+): conservative and stable
This allows the same script to be used across multiple timeframes without retuning inputs.
5. Trade State & Risk Governance
The script internally tracks trade state:
FLAT LONG SHORT
Position adds are allowed only when: Price pulls back toward the adaptive trail
Confidence remains above a dynamic threshold
Volatility and cooldown conditions are respected
A Guardian system can force exits when confidence collapses during active trades.
6. How to Use
Follow the trail for trend direction INIT labels indicate potential trend starts
ADD labels indicate controlled continuation opportunities
Exit occurs on trail breaks or Guardian protection
Designed for trend-following and trade management, not for scalping or signal-only use.
7. Difference vs Previous Apex Adaptive Trail
Compared to earlier versions, update introduces:
Timeframe-aware Auto-Pilot configuration
Dynamic thresholds for entries, adds, and exits
Reduced need for manual parameter optimization
Improved usability for non-programmers
Earlier versions remain suitable for users who prefer full manual control.
8. Open-Source & Credits
This script is published as open-source under the Mozilla Public License 2.0.
© mentalExpert19609
Accumulation/Distribution Oscillator [MarkitTick]💡 This script presents a statistically normalized evolution of the classic Accumulation/Distribution (A/D) indicator, designed to transform unbounded volume flow into a bounded, actionable oscillator. By integrating Relative Volume (RVOL) weighting and Z-Score standardization, this tool isolates genuine institutional buying and selling pressure from market noise, offering a clear view of volume momentum regimes.
✨ Originality and Utility
The standard Accumulation/Distribution line is a cumulative total of volume flow, which often results in an unbounded line that drifts indefinitely with price trends. This makes it difficult for traders to identify overextended conditions or specific turning points.
This script solves that problem through a three-stage quantitative process:
Smart Volume Weighting: Instead of treating all volume equally, this indicator amplifies the impact of high-volume nodes using a Relative Volume (RVOL) filter. This ensures that significant institutional activity carries more weight than low-liquidity chopping.
Detrending: It subtracts a smoothed average (using ALMA, EMA, or others) from the raw A/D line to create a raw oscillator.
Normalization: Finally, it applies a Z-Score calculation to normalize the data. This bounds the oscillator around a zero mean, allowing for the application of Bollinger Bands to detect statistical extremes (2 or 3 standard deviations).
🔬 Methodology and Concepts
The calculation logic follows a strict quantitative pipeline:
● Money Flow Multiplier (MFM)
The core engine is the classic MFM calculation, which determines the location of the Close relative to the High-Low range. A Close near the High results in +1, while a Close near the Low results in -1.
● Advanced Volume Filtering
Before accumulation, the volume is processed through two filters:
RVOL Multiplier: If the current bar's volume exceeds its simple moving average (`rvol_len`), the volume is multiplied by a user-defined factor (`rvol_mult`). This emphasizes breakout candles.
Candle Strength (Optional): If enabled, weight is increased based on how close the price closes to the absolute high or low, rewarding decisive candle shapes.
● Z-Score Standardization
The script calculates the "Raw Oscillator" by subtracting a moving average (Signal Line) from the cumulative A/D Line. It then calculates the Z-Score of this raw value over a lookback period (`z_len`).
Formula: Z = (Value - Mean) / Standard Deviation
🎨 Visual Guide
The indicator renders a complex data set into an easy-to-read interface:
• The Oscillator (Line & Histogram)
The primary output is the Z-Score value.
Teal Histogram/Line: Represents Bullish momentum (Accumulation). Darker Teal indicates accelerating momentum (`osc > previous`), while lighter Teal indicates decaying momentum.
Red Histogram/Line: Represents Bearish momentum (Distribution). Darker Red indicates accelerating selling pressure, while lighter Red indicates exhaustion.
Gray: If the Trend Filter (200 EMA) or VWAP Filter is enabled and the signal opposes the trend, the histogram turns Gray to indicate a low-probability counter-trend signal.
• Bollinger Bands (Blue Bands)
These bands wrap around the oscillator line.
Upper Band: Usually set to +2 Standard Deviations. When the oscillator pierces this band, accumulation is statistically extreme (potential mean reversion or strong breakout).
Lower Band: Usually set to -2 Standard Deviations. Indicates statistically extreme distribution.
• Divergences
The script automatically detects and plots structural divergences:
Green Lines/Labels: Bullish Divergence. Price makes a Lower Low while the Oscillator makes a Higher Low.
Red Lines/Labels: Bearish Divergence. Price makes a Higher High while the Oscillator makes a Lower High.
• Multi-Timeframe (MTF) Dashboard
Located in the top right, this table displays the momentum status (BULL/BEAR) of the oscillator across three user-defined timeframes (default: 60min, 240min, Daily), allowing for fractal trend analysis.
📖 How to Use
This tool is best used for identifying trend exhaustion and hidden volume strength.
1. Trend Continuation
In a strong uptrend, look for the Histogram to remain Teal and above the Zero line. A pullback to the Zero line that bounces back up suggests buyers are stepping in to defend the trend.
2. Statistical Extremes
When the oscillator line breaks outside the Bollinger Bands, volume flow is significantly deviated from the norm.
If price is ranging, this often signals a reversal (Reversion to Mean).
If price is breaking out, this confirms strong impulse participation.
3. Divergence Reversals
A divergence is a leading signal. If price is pushing new highs but the A/D Oscillator fails to make a new high (Red Divergence Line), it indicates that the volume supporting the move is drying up, often preceding a correction.
⚙️ Inputs and Settings
● Oscillator Settings
Smoothing Type/Length: Choose between ALMA, EMA, SMA, etc., to smooth the A/D line. ALMA is default for its zero-lag properties.
ALMA Offset/Sigma: Fine-tune the responsiveness of the Arnaud Legoux Moving Average.
● Quant Filters
RVOL Lookback & Multiplier: Determines the threshold for "High Volume." Default is 1.5x average volume.
Z-Score Lookback: The period used to establish statistical significance (Default: 100).
Use VWAP/Trend Filter: Logical switches to gray out signals that contradict the macro trend (200 EMA) or the intraday mean (VWAP).
● Dashboard
Customize the three timeframes displayed in the MTF table to match your trading horizon (e.g., Scalpers might use 5m, 15m, 1h).
🔍 Deconstruction of the Underlying Scientific and Academic Framework
This indicator relies on the Law of Supply and Demand quantified through Standard Score (Z-Score) Statistics .
Standard Accumulation/Distribution is derived from the work of Marc Chaikin, positing that the proximity of the close to the high/low on high volume indicates the "smart money" flow. However, raw cumulative data suffers from heteroscedasticity (varying variance).
By applying Z-Score normalization:
Z = (x - μ) / σ
We transform the data into a standard normal distribution. This allows us to apply probability theory to volume analysis. A value of +2.0 is not merely "high"; it represents a volume flow intensity that falls within the top 2.2% of the data set (assuming normal distribution), providing a mathematically robust definition of "Overbought" or "Oversold" volume conditions.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
Minervini TT RS Break (vs TOPIX)his script selects “buyable” stocks using Minervini’s Trend Template and filters for market leaders by relative strength versus TOPIX. A BUY signal appears when all TT conditions are met (price above 50/150/200-day MAs, 50>150>200 alignment, rising 200-day MA, +30% from 52-week low, within 25% of 52-week high) and RS is above the threshold, trending up, and making new highs. While BUY is active, an ENTRY signal is shown only when a pivot breakout (above the prior N-day high) occurs with a volume surge (multiple of average volume) and volatility contraction (lower ATR%). An RS BREAK is flagged when relative strength weakens (below its MA or MA turning down), indicating no-add and exit watch. Use BUY to build a watchlist, act only on ENTRY signals, and stop adding while prioritizing exit decisions when RS BREAK appears.
GS Quantum Radar [Elite Aesthetic - Bilingual]GS Quantum Radar / GS 量子雷達
Overview / 概述
Inspired by the quantum physics concept of "Ghostly action at a distance," the GS Quantum Radar is a high-end quantitative tool designed to capture the hidden correlations between two entangled assets (e.g., 2330.TW vs. TSM, or NVDA vs. AI sector). It identifies "Quantum Tension"—statistical deviations that signal imminent mean reversion or breakout opportunities.
受量子力學中**「幽靈般的遠距作用」**啟發，GS 量子雷達是一款專為捕捉資產間隱藏關聯而設計的高階量化工具（例如台積電與 TSM ADR，或 NVDA 與 AI 類股）。它能識別「量子張力」——即統計學上的異常偏離，預示著即將到來的均值回歸或突破機會。
Core Logic / 核心邏輯
The indicator operates on Statistical Arbitrage principles using a dynamic Z-Score model:該指標基於統計套利原理，採用動態 Z-Score 模型：
Entanglement Strength (Correlation) / 糾纏強度（相關性）： It measures how synchronized the two assets are. Signals are only valid when the correlation is high, ensuring you aren't trading noise.衡量兩項資產的同步程度。僅在相關性高時訊號才有效，確保您避開市場雜訊。
Quantum Tension (Z-Score) / 量子張力 (Z-Score)： Using the formula $Z = \frac{x - \mu}{\sigma}$, it calculates the price ratio deviation.透過公式 $$Z = \frac{x - \mu}{\sigma}$$
計算價差比率的偏離值。
$Z > +2$ (Red Column / 紅色柱狀): Particle A is overstretched (Overvalued). / 資產 A 擴張過度（相對高估）。
$Z < -2$ (Green Column / 綠色柱狀): Particle A is compressed (Undervalued). / 資產 A 壓縮過度（相對低估）。Shutterstock探索
Key Features / 主要功能
Bilingual Cyberpunk Dashboard / 中英雙語賽博龐克儀表板: Real-time monitoring of network status, entanglement strength, and tension levels with intuitive scale bars.即時監控網路狀態、糾纏強度與張力水平，配備直觀的比例尺進度條。
Aesthetic UI / 視覺美學: Designed with a Neon-Tokyo palette. Optimized for Dark Mode with a focus on high-density information display.採用霓虹東京配色。專為深色模式優化，專注於高密度資訊顯示。
Taiwan Style Color / 台股配色慣例: Red for Bullish/Up, Green for Bearish/Down.符合台股習慣：紅漲、綠跌。
How to Use / 如何使用
Select your pair / 選擇對象: Load the script on your primary chart (e.g., 2330.TW) and input the "Entangled Particle" (e.g., NASDAQ:TSM) in settings.在主圖表（如 2330.TW）掛載腳本，並在設定中輸入「糾纏對象」（如 NASDAQ:TSM）。
Monitor the Status / 監控狀態: Look for "STRONG BUY" or "TAKE PROFIT" advisories on the dashboard.觀察儀表板上的「強力買進 (STRONG BUY)」或「獲利了結 (TAKE PROFIT)」建議。
Execute / 執行交易: Enter when the "Quantum Tension" hits the $\pm 2.0$ thresholds while "Entanglement" is full.當「量子張力」達到 $\pm 2.0$ 臨界點且「糾纏強度」滿格時進場。
Disclaimer / 免責聲明Trading involves significant risk. This indicator is a statistical tool for decision support and does not guarantee profits. Use with proper risk management.交易涉及重大風險。本指標為輔助決策的統計工具，不保證獲利。請配合適當的風險管理使用。
ARPAKET_FLOW_CRYPTOArpaket_FLOW - TradingView Script
---
## 📝 Short Description (for subtitle)
```
Advanced Money Flow Indicator with Multi-Asset Support, Whale Detection & Multi-Timeframe Analysis
```
---
## 📄 Full Description (copy below this line)
---
### 🌊 ARPAKET_FLOW - Smart Money Flow Indicator
**Arpaket_FLOW** is a comprehensive money flow indicator designed to help traders visualize whether smart money is flowing INTO or OUT of the market, along with the intensity of that flow. This indicator combines multiple proven technical analysis methods into a single, easy-to-read tool for making informed buy/sell decisions.
---
### 🎯 What Does This Indicator Do?
This indicator answers the most critical question in trading: **"Is money flowing into or out of this asset?"**
By combining volume analysis with price action, Arpaket_FLOW calculates a **Flow Score (0-100)** that tells you:
- **Above 70**: Strong money inflow → Bullish bias
- **50-70**: Moderate inflow → Cautiously bullish
- **30-50**: Neutral zone → Wait for confirmation
- **Below 30**: Strong money outflow → Bearish bias
---
### 🔬 How It Works
Arpaket_FLOW combines **6 powerful indicators** into one unified score:
| Component | Weight | Purpose |
|-----------|--------|---------|
| **Volume Ratio** | 25% | Detects unusual volume activity |
| **Money Flow Index (MFI)** | 20% | Measures buying/selling pressure with volume |
| **Chaikin Money Flow (CMF)** | 20% | Identifies accumulation/distribution |
| **On-Balance Volume (OBV)** | 15% | Tracks volume flow direction |
| **RSI Momentum** | 10% | Confirms price momentum |
| **VWAP Deviation** | 10% | Institutional price reference |
---
### ✨ Key Features
#### 🎛️ Multi-Asset Adaptation
- **Crypto Mode**: Higher volatility thresholds + Whale detection
- **Low Liquidity Stocks**: Adjusted sensitivity for thin markets (SET Index, Small Caps)
- **High Liquidity Markets**: Standard settings for Forex, Major Indices
#### ⏱️ Multiple Trading Styles
- **Scalping** (1-5 min): Ultra-fast signals with noise filtering
- **Day Trading** (15min-1H): Balanced speed and reliability
- **Swing Trading** (4H-Daily): Multi-timeframe confirmation
- **Position Trading** (Weekly+): Long-term flow analysis
#### 🐋 Whale Detection (Crypto)
Automatically detects unusual large-volume activity that may indicate whale accumulation or distribution. When volume exceeds 3x the average, a whale marker (🐋) appears on the chart.
#### 📊 Multi-Timeframe Panel
For Swing and Position traders, view flow direction across 4 timeframes (1H, 4H, Daily, Weekly) simultaneously to ensure alignment before entering trades.
#### 📋 Real-Time Dashboard
A clean dashboard displaying:
- Flow Direction (Inflow/Outflow/Neutral)
- Flow Score (0-100)
- Flow Strength (Weak/Moderate/Strong/Extreme)
- Volume Status (Normal/Surge/Whale)
- MFI & CMF readings
- Overall Signal (Buy/Sell/Neutral)
#### ⚠️ Divergence Detection
Automatically identifies bullish and bearish divergences between price and money flow, providing early reversal warnings.
---
### 📖 How To Use
#### Basic Usage:
1. **Select your Market Type** in settings (Crypto/Low Liquidity/High Liquidity)
2. **Select your Trading Style** (Scalping/Day Trading/Swing/Position)
3. **Watch the histogram**:
- Green bars = Money flowing IN (bullish)
- Red bars = Money flowing OUT (bearish)
- Bar height = Flow intensity
#### Signal Interpretation:
| Signal | Meaning | Suggested Action |
|--------|---------|------------------|
| 🟢 Green Triangle | Strong buy signal | Consider long entry |
| 🔴 Red Triangle | Strong sell signal | Consider short/exit |
| 🐋 Whale Icon | Large player activity | Watch for direction |
| DIV Label | Divergence detected | Potential reversal |
#### Best Practices:
- Use **higher timeframes** for trend direction
- Use **lower timeframes** for entry timing
- Wait for **MTF alignment** (3+ timeframes agreeing) for higher probability trades
- Combine with support/resistance levels for optimal entries
---
### ⚙️ Settings Guide
#### General Settings
- **Market Type**: Match to your traded asset
- **Trading Style**: Match to your timeframe
- **Sensitivity**: Conservative (fewer signals) → Aggressive (more signals)
#### Period Settings
- **Fast Period**: Short-term calculation (default: 7)
- **Slow Period**: Long-term calculation (default: 21)
- **Signal Smoothing**: Reduces noise (default: 5)
#### Alert Settings
- **Buy Threshold**: Score level for buy signals (default: 70)
- **Sell Threshold**: Score level for sell signals (default: 30)
- **Volume Surge Multiplier**: Volume spike detection (default: 2.0x)
- **Whale Multiplier**: Whale detection threshold (default: 3.0x)
---
### 🔔 Available Alerts
1. **Strong Buy/Sell Signal** - When confirmed signals trigger
2. **Enter Buy/Sell Zone** - When score crosses thresholds
3. **Whale Activity** - Accumulation or distribution detected
4. **Bullish/Bearish Divergence** - Price/flow divergence
5. **Volume Surge** - Unusual volume spike
6. **MTF Alignment** - Multiple timeframes agree
7. **Extreme Conditions** - Score above 90 or below 10
8. **Flow Reversal** - Direction change confirmed
---
### 📈 Recommended Combinations
This indicator works best when combined with:
- **Support/Resistance levels** for entry points
- **Trend lines** for direction confirmation
- **Moving Averages** (EMA 20/50/200) for trend context
- **Price Action patterns** for timing
---
### ⚠️ Disclaimer
This indicator is a tool to assist in trading decisions, not a guarantee of profits. Always:
- Use proper risk management
- Never risk more than you can afford to lose
- Backtest before live trading
- Consider multiple factors before entering trades
Past performance does not guarantee future results. Trading involves substantial risk of loss.
---
### 🙏 Credits & Acknowledgments
This indicator combines concepts from:
- Money Flow Index (Gene Quong & Avrum Soudack)
- Chaikin Money Flow (Marc Chaikin)
- On-Balance Volume (Joe Granville)
- Volume-Weighted Average Price (Institutional standard)
---
### 💬 Feedback
If you find this indicator helpful, please leave a comment or like! Your feedback helps improve future updates.
For questions or suggestions, feel free to comment below.
**Happy Trading!** 🚀
---
## 🏷️ Suggested Tags (for TradingView)
```
moneyflow, volume, smartmoney, whaledetection, crypto, stocks, forex, mfi, cmf, obv, vwap, multitimeframe, buysellindicator, flowanalysis, accumulation, distribution
```
---
## 📸 Suggested Screenshots to Include
1. **Main Chart View** - Show the indicator with histogram and dashboard
2. **Buy Signal Example** - Zoom in on a successful buy signal
3. **Whale Detection** - Show crypto chart with whale markers
4. **MTF Panel** - Display multi-timeframe alignment
5. **Settings Panel** - Show available customization options
eXquTrading FIB (Auto)eXquTrading FIB (Auto) — EMA144/169 Cloud + 8X Score + Auto Fibonacci (Single Set)
This indicator uses the EMA144/169 Cloud to define the market regime (LONG/SHORT/NEUTRAL), then generates BUY/SELL signals based on an 8-factor scoring system, while automatically drawing one Fibonacci set and extending it to the right so labels remain readable.
Features
Trend Regime (EMA144/169 Cloud):
Above cloud = LONG, below cloud = SHORT, inside cloud = NEUTRAL
8X Score Signals: confirmations from RSI, MACD, Stoch, Momentum, Volume, MFI, CCI, OBV(EMA)
Noise-reduction filters:
ATR-based cloud distance filter (reduces chasing signals)
ATR-based impulse candle filter (blocks oversized candles)
Cooldown (limits back-to-back signals)
Auto Fibonacci (Single Set):
Rebuilds on trend flip / fib invalidation / (optional) when a signal appears and no fib exists
Levels: -1.618, -1, -0.382, 0, 0.382, 0.5, 0.618, 1
Fib lines extend to the right on every bar (labels stay clean)
Settings (Quick tips)
Increase Minimum Confirmations (Score) → fewer but cleaner signals
Tighten ATR filters in choppy markets, loosen slightly in strong trends
Increase Right Pad Bars to keep right-side labels readable
Repaint / Execution Mode
Default: bar close only (more reliable)
Optional “Early Signal (Repaint Risk)” enables intrabar signals (faster, but may repaint)
Alerts
8X SCALP BUY
8X SCALP SELL
Disclaimer
For analysis/educational purposes only. Not financial advice. Always test settings on your own symbols and timeframes.
EduVest - IFA-VP Context v3.0 [NEON Edition]📊 IFA-VP Context v3.0
A powerful market context indicator combining Volume Profile analysis with SMA trend detection. Designed with a cyberpunk-inspired NEON color palette for maximum visibility on dark charts.
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🎯 WHAT IT DOES
This indicator helps you understand "where you are" in the market by analyzing:
• Volume Profile (POC, VAH, VAL)
• SMA Alignment (20/50/200)
• Context Score (0-100)
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⚡ KEY FEATURES
🔹 NEON Color Palette - Cyan/Pink/Gold colors optimized for dark mode
🔹 Context Score - Visual score bar (████████░░) shows market strength
🔹 Cross Signals - GOLDEN CROSS / DEATH CROSS with HUGE labels
🔹 POC Reaction - Track price interaction with Point of Control
🔹 Status Panel - All-in-one dashboard with trend, zone, and hints
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📺 THREE DISPLAY MODES
• Impact Mode - Full visual experience with badges, ribbons, and glow effects
• Minimal Mode - Clean SMA lines and VP levels only
• Pro Mode - Complete VP histogram display
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📈 SIGNALS EXPLAINED
▲ GOLDEN CROSS (20×50) - Short-term bullish momentum
▼ DEATH CROSS (20×50) - Short-term bearish momentum
⭐ MAJOR GOLDEN (50×200) - Long-term bull market signal
💥 MAJOR DEATH (50×200) - Long-term bear market signal
Context Badges:
⚡ SUPER BUY/SELL (Score 80+)
🔥 POWER BUY/SELL (Score 70-79)
💪 STRONG BUY/SELL (Score 60-69)
⏸ WAIT (Score <50)
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⏰ RECOMMENDED TIMEFRAMES
✅ 15min - 4H (Best for day trading & swing)
⚠️ 1min-5min (Noisy, use with caution)
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⚠️ DISCLAIMER
This is NOT a buy/sell signal indicator.
It shows market CONTEXT to help your own trading decisions.
Always use proper risk management and combine with your own analysis.
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🏷️ Tags: volume profile, sma, context, trend, neon, dark mode, poc, value area
Spot Taker Flow & Early Warning System How Does This Code Detect a "Fake" Rise?
Spot VWMA Logic: The moving average looks not only at the price but also at how much "spot volume" is circulating at that price.
Fake Rise Scenario: If the price (candles) is going up but the Yellow (Binance) or Blue (Coinbase) lines we've drawn are below it, or the price is drooping to the level of these lines; know that the rise is being triggered by bots in futures trading, not spot buyers. This is a "Fake" rise.
Confirmed Rise: If the price is above all these L1 lines, there may be "real money behind it".
