Sri - Indian Sector-Based MACD 📊 Sri – Indian Sector-Based MACD (Closed Source)
Sri – Indian Sector-Based MACD is a sector-relative momentum framework for Indian equities that replaces traditional stock-based MACD with a dynamic sector-index MACD engine.
Unlike standard MACD indicators that calculate momentum directly from the chart symbol, this script introduces a sector-first analytical layer, allowing traders to evaluate whether a stock’s movement is supported by its parent sector’s trend strength.
🔬 What Makes This Indicator Original
1️⃣ Automatic Sector Intelligence Engine
The script uses a rule-based NSE stock-to-sector classification system covering Banking, Finance, IT, FMCG, Pharma, Auto, Metal, Energy, Infra, Realty, Defence, Telecom, Transportation, and more.
Each listed NSE stock is mapped in real time to its corresponding official NSE sector index, creating a contextual trading environment rather than an isolated price signal.
This sector-mapping logic and index-selection flow is custom-built and proprietary, which is why the source is protected.
2️⃣ Sector-Index MACD (Not Stock MACD)
Instead of applying MACD to the chart symbol:
The indicator fetches live sector-index data
Calculates Fast MA – Slow MA on the sector index
Generates MACD, Signal, and Histogram behavior derived from sector momentum
This allows traders to answer a critical question:
“Is this stock moving WITH its sector or AGAINST it?”
This structural shift—from stock-centric to sector-centric MACD—is the core originality of the script.
3️⃣ Adaptive Multi-Timeframe MACD Logic
The indicator uses an automatic timeframe translation model:
Intraday charts dynamically reference higher-timeframe sector data
Daily, weekly, and monthly charts maintain time-consistent sector momentum
Prevents noise caused by mismatched timeframes between stocks and indices
This adaptive logic is not part of standard MACD implementations.
4️⃣ Controlled Sensitivity & Structural Smoothing
To suit different market regimes, the script includes:
Sensitivity scaling of MACD output
Zero-line offset adjustment
Optional smoothed EMA of sector MACD for trend structure clarity
These controls allow traders to tune sector momentum strength, not just direction.
5️⃣ Manual Override for Advanced Users
While sector detection is automatic, users can manually override the sector index and apply the MACD engine to:
Any NSE index
Custom symbols
Macro or inter-market studies
This makes the indicator usable beyond predefined sector logic.
6️⃣ Visual Confirmation Layer
Filled MACD vs Signal zones highlight sector acceleration vs deceleration
A compact table confirms the active sector context on the chart
Color-coded background indicates whether sector detection is valid
🎯 How Traders Should Use This Indicator
This script is not a buy/sell signal generator.
It is intended for:
Trend confirmation
Sector alignment filtering
Avoiding trades against weak or reversing sectors
Sector rotation and relative strength analysis
Best used alongside:
Price action
Volume analysis
Stock-level indicators
⚠️ Important Notes
Designed for Indian NSE equities
Sector mappings are rule-based and maintained internally
Closed-source to protect custom sector-index MACD architecture
オシレーター
HoneG_CCIv19HoneG_CCIv19
This is a signal tool capable of both counter-trend and trend-following trading. Apply it to 1-minute charts.
For trend-following, it features a rapid-fire mode. When conditions align, rapid-fire mode activates, and two indicators signaling the rapid-fire timing will turn ON/OFF in sync with price extension moments.
逆張りも順張りも出来るサインツールです。１分足チャートに適用してください。
順張りには連打モードがあり、条件が揃うと連打モードが発動し、連打タイミングを知らせる二か所の表示が、価格が伸びるタイミングに合わせてON/OFFします。
BreakPoint Pro - Market Structure Shifts BreakPoint Pro - Market Structure Shifts
BreakPoint Pro identifies meaningful structural breaks in price action by tracking swing highs and lows, detecting directional shifts, and optionally requiring a break-and-retest confirmation before signaling.
To reduce noise and overtrading, BreakPoint Pro integrates:
- Trend and momentum filters
- Signal cooldown logic
- Adaptive ATR-based risk visualization
- Multi-timeframe structural context
The result is a clean, structured framework that helps traders align entries with both local structure and higher-timeframe bias, while maintaining consistent risk parameters.
NQ 1m Chart Short Signal & TP Hit
This indicator is not a strategy and does not auto-execute trades. It is intended as a decision-support tool for discretionary traders who understand structure, trend alignment, and risk management.
BreakPoint Pro identifies meaningful structural breaks in price action by tracking swing highs and lows, detecting directional shifts, and optionally requiring a break-and-retest confirmation before signaling.
BTC 4h Chart Short Signal Close to TP
✨ Key Features (At a Glance)
- Market Structure Shift (MSS) detection
- Optional break + retest confirmation
- EMA trend filter
- RSI momentum filter
- Cooldown system to prevent signal clustering
- ATR-based Stop Loss & Take Profit visualization
- Dynamic Risk/Reward calculation
- Higher-Timeframe (HTF) structure dashboard
- Fully customizable visuals (SL/TP lines, opacity, styles)
ETH 1h Chart - Showing current potential short trade in play, but also older potential trades as well with background color grading and structure high/low levels
🔍 In-Depth Feature Overview
1. Market Structure Detection
BreakPoint continuously tracks recent swing highs and swing lows to determine when price breaks previous structure.
A structure shift is only confirmed when price closes beyond a prior swing, helping filter out wicks and false breaks.
The indicator maintains a structure state:
- Bullish
- Bearish
- Neutral
This state governs signal eligibility and background context.
2. Break + Retest Logic (Optional)
When enabled, BreakPoint requires:
- A confirmed break of structure
- A controlled retest within an ATR-based tolerance
- A continuation close in the break direction
This helps avoid chasing impulsive moves and favors acceptance over reaction.
Retest sensitivity can be fine-tuned using the ATR tolerance multiplier.
3. Trend & Momentum Filters
To improve signal quality, BreakPoint supports optional filters:
EMA Filter
- Long signals only above the EMA
- Short signals only below the EMA
RSI Filter
- Longs require RSI above a configurable midline
- Shorts require RSI below it
Filters can be used independently or combined for stricter confirmation.
4. Cooldown Protection
After a signal triggers, BreakPoint enforces a cooldown period before allowing another signal.
This prevents rapid flip-flopping in choppy conditions and encourages patience and structure clarity.
5. ATR-Based Risk Visualization
Upon a valid signal, BreakPoint automatically plots:
- Stop Loss (SL)
- Take Profit (TP)
Using:
- ATR-based distance
- Configurable Risk/Reward ratio
- Direction-aware placement
All SL/TP lines and labels are purely visual aids and can be customized or disabled depending on your workflow.
6. Higher-Timeframe Structure Dashboard
BreakPoint dynamically evaluates structure on three higher timeframes relative to your current chart.
A compact table displays:
- Timeframe
- Bullish / Bearish / Neutral structure
- Current trade direction
- SL, TP, and live R:R values
This helps traders quickly assess top-down alignment without switching charts.
DXY- USD Index 1h Chart Short with TP hit
🛠️ Settings Review:
Core Structure
- Swing Length – Controls sensitivity of swing detection
- Require Break + Retest – Enables retest confirmation logic
- Retest ATR Tolerance – Defines acceptable retest range
Filters
- Use EMA Filter / EMA Length
- Use RSI Filter / RSI Length / RSI Midline
Signal Management
- Cooldown Bars After Signal – Minimum bars between signals
Risk Visualization
- Use ATR-based Stop Loss
- ATR Stop Loss Multiplier
- Use ATR-based Take Profit
- Risk/Reward Ratio
Visual Customization
- SL/TP colors
- Line styles (solid, dashed, dotted)
- Line widths
- Opacity levels
HTF Display
- Show/Hide HTF structure box
- Table position on chart
DASH - Weekly Timeframe Long Trade hit TP
Best Practices & Tips
- Works best on liquid markets (indices, FX, majors, liquid crypto)
- Use HTF structure alignment for higher-confidence trades
Combine with:
Key levels
Session highs/lows
Supply & demand zones
- Increase swing length and enable filters on higher timeframes
- Avoid treating signals as standalone trade commands
BreakPoint excels as a structure confirmation tool, not a prediction engine.
SOL - 4hr Short
⚠️ Disclaimer:
BreakPoint Pro – Market Structure Shifts is a technical analysis tool designed to highlight potential market structure shifts. It provides visual signals and trade bias suggestions based on swing highs/lows, optional EMA/RSI filters, and break/retest logic. It does not guarantee profits and should not be considered financial advice.
Users are responsible for their own trades. Always perform your own analysis and manage risk appropriately. Use proper stop-losses and position sizing. Trading involves significant risk of loss, and past performance is not indicative of future results.
By using this indicator, you acknowledge that the author cannot be held liable for any trading losses or financial outcomes resulting from its use.
💳 If you'd like access or have any questions, visit our website or feel free to reach out to me directly via DM.
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."
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.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
WHY THIRD-DERIVATIVE ANALYSIS?
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
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.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
MATHEMATICAL FOUNDATION
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
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.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
SIGNAL GENERATION LOGIC
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
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.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
CONFIDENCE ENGINE
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
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
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
INTEGRATED BACKTESTER
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
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.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
CHART EXECUTION SIGNALS
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
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.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
DUAL DASHBOARD SYSTEM
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
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
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
PARAMETER GUIDE
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
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
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
HOW TO USE: PRACTICAL WORKFLOW
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
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.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
WHAT THIS INDICATOR IS — AND ISN'T
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
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
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
ORIGINALITY STATEMENT
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
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.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
LIMITATIONS & DISCLAIMERS
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
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.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
RECOMMENDED SETTINGS BY MARKET
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
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.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
CONCLUSION
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
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
Blockcircle MTE V2 - Momentum Trading EngineBLOCKCIRCLE MTE V2 - MOMENTUM TRADING ENGINE is a comprehensive multi-indicator trading strategy designed for cryptocurrency and traditional markets. It combines momentum analysis, trend confirmation, and institutional flow indicators to identify high-probability entry and exit points across any timeframe.
This strategy was developed with input from quantitative traders, financial engineers, and data scientists from Blockcircle. MTE V1 was released in 2023, MTE V2 in 2024, and MTE V3 in 2025. Each version uses different methodologies and modular functions tailored to evolving market conditions.
WHAT MAKES THIS TRADING ENGINE DIFFERENT AND ORIGINAL
While momentum indicators and RSI filters are common concepts, this strategy extends beyond simple signal generation in several ways that justify its protected source status and subscription access.
First, the Momentum Engine applies a proprietary six-layer T3 smoothing algorithm to the Commodity Channel Index. This is not a standard CCI indicator. The smoothing uses Fibonacci-based coefficients (0.618) combined with a configurable T3 period to produce a momentum oscillator with significantly reduced noise while maintaining responsiveness to genuine trend changes. The specific coefficient weighting and smoothing chain represent original development work.
Second, the Multi-Condition Entry Framework allows traders to combine up to seven independent entry conditions across multiple timeframes. Each condition can be enabled or disabled independently, creating a modular system where signals must pass through multiple confirmation layers before triggering. This conditional logic framework, including the specific implementation of timeframe confirmation and bounds checking, is not available in standard indicator combinations.
Third, the Institutional Open Interest Integration pulls aggregated futures positioning data from Binance, BitMEX, and Kraken to filter entries based on institutional activity thresholds. The strategy can require Open Interest to exceed configurable levels before allowing entries, adding a smart money confirmation layer that most retail strategies lack.
Fourth, the Adaptive Exit System offers multiple exit methodologies, including fixed stop loss, percentage-based take profit, trailing stop loss with configurable activation thresholds, higher timeframe invalidation exits, and momentum reversal exits. These can be combined and customized to match different trading styles and market conditions.
Fifth, the Price Level Condition System allows comparison of price against up to three configurable moving averages across any asset and timeframe. This enables cross-asset confirmation, such as requiring SOL to be above its 100 EMA while BTC is above its 21 Weekly EMA before entering trades.
These proprietary elements, particularly the Momentum smoothing algorithm, the multi-condition framework, and the institutional OI integration, represent original development work that provides genuine trading utility beyond what free alternatives offer.
ENTRY CONDITIONS
Momentum Indicator: Smoothed CCI using stacked T3 moving averages for noise-reduced momentum signals with configurable thresholds and multi-timeframe confirmation
RSI Boundary Conditions: Dual RSI filters with customizable timeframes, periods, and operators to confirm overbought or oversold zones
Heikin-Ashi Analysis: Optional Heikin-Ashi candle patterns, including Higher Highs and Lower Lows detection for early trend shift identification
Slow Stochastic Filter: K and D crossover confirmation with customizable smoothing to validate momentum direction Open Interest Integration: Monitor institutional positioning via aggregated OI data from Binance, BitMEX, and Kraken
Price Level Conditions: Up to three configurable price levels using EMA, SMA, HMA, or raw price across any asset and timeframe
Multi-Timeframe Confirmation: Validate signals against higher timeframes to filter noise and align with larger trends
There are hundreds of configurable options that allow you to fine-tune your trading strategy to what you want to simulate and execute
EXIT CONDITIONS
Fixed Stop Loss and Take Profit: Percentage-based SL and TP with automatic position management
Trailing Stop Loss: Dynamic trailing stop that activates after reaching profit threshold with configurable trail distance
Exit on Opposite Signal: Option to close positions when contrary signals appear, which disables take profit when enabled
Higher Timeframe Exit Triggers: Exit positions based on percentage changes on higher timeframes
Momentum Invalidation: Close trades when momentum invalidates beyond specified thresholds
Open Interest Exit: Exit based on institutional OI threshold breaches
HOW TO USE
Step 1: Define your backtest period using the Start Date and End Date inputs to test the strategy on your preferred historical range.
Step 2: Configure your entry conditions by enabling the indicators you want to use. Start with one or two conditions and add more as you understand how they interact. The Momentum condition is enabled by default and works well as a primary entry filter.
Step 3: Set your exit rules based on your risk tolerance. The default 7% stop loss is suitable for cryptocurrency volatility. Adjust the take profit based on your average winning trade expectations. Enable trailing stop losses for trend-following approaches that let winners run.
Step 4: Configure alerts for automated trading. The strategy sends standardized messages compatible with most trading bots. Default messages are LONG_OPEN, LONG_CLOSE, SHORT_OPEN, and SHORT_CLOSE.
BOT INTEGRATION
MTE V2 sends clean, standardized alert signals compatible with automated trading platforms.
Open Long: LONG_OPEN
Close Long: LONG_CLOSE
Open Short: SHORT_OPEN
Close Short: SHORT_CLOSE
Compatible platforms include 3Commas, Cornix Bot, WunderTrading, Binance Signal Bot, ByBit Signal Bot, Alertatron, and any JSON webhook service.
LIMITATIONS AND HONEST ASSESSMENT
This strategy performs best in trending market conditions. During extended consolidation or ranging periods, the win rate may decrease, and drawdowns may increase. The backtest results shown are specific to SOLUSDT on the 1-hour timeframe and may differ on other assets or timeframes.
Past performance does not guarantee future results. The backtest assumes perfect execution at the specified commission and slippage settings. Real-world trading may experience varying fill rates, especially during high-volatility periods.
The strategy uses standard candlestick data for backtesting. Results may differ if applied to Heikin-Ashi or other non-standard chart types.
A 10% position size per trade is the maximum recommended by TradingView guidelines. More conservative traders may prefer 5% or lower position sizing to reduce drawdown risk.
This strategy should be used as part of a comprehensive trading approach that includes proper risk management, appropriate position sizing for your account, and awareness of broader market conditions. It is not intended as a standalone system that guarantees profits.
RECOMMENDED SETTINGS BY TRADING STYLE
For swing trading on 4-hour to daily timeframes, use the default Momentum settings with RSI boundary confirmation. Enable trailing stop loss to capture extended moves.
For scalping on 15-minute to 1-hour timeframes, increase signal sensitivity by lowering the Momentum threshold and consider enabling Heikin-Ashi confirmation for smoother signals.
For position trading on daily to weekly timeframes, enable higher timeframe confirmation and consider adding Price Level conditions to ensure alignment with major moving averages.
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.
Pro Cumulative Volume RSI# Pro Cumulative Volume RSI - Professional Trading Indicator
## 📊 What is it?
The **Pro Cumulative Volume RSI** is an advanced momentum oscillator that analyzes buying and selling pressure through volume distribution. Unlike traditional RSI that only tracks price movements, this indicator separates volume into buying and selling components, providing two distinct RSI calculations that reveal market dynamics from both perspectives.
## 🔍 How Does It Work?
### Volume Distribution Algorithm
The indicator uses a sophisticated volume distribution method:
**Buying Volume (BV)** = Volume × (Close - Low) / (High - Low)
**Selling Volume (SV)** = Volume × (High - Close) / (High - Low)
This formula proportionally allocates volume based on where the candle closes within its range:
- If close is near the high → More buying volume
- If close is near the low → More selling volume
### Dual RSI Calculation
The indicator then calculates **two separate RSI values**:
1. **Green Line (Buying Volume RSI)**: Measures the dominance of buying pressure
2. **Red Line (Selling Volume RSI)**: Measures the dominance of selling pressure
Each RSI follows the traditional 14-period calculation but applies it to the volume pressure differences rather than price changes.
## 🎯 How to Use It
### Signal Interpretation
| Scenario | Meaning | Action |
|----------|---------|--------|
| Green > 70, Red < 30 | Strong buying dominance | Consider buying / Hold long |
| Red > 70, Green < 30 | Strong selling dominance | Consider selling / Avoid longs |
| Green crosses above Red | Momentum shift to buyers | Potential buy signal |
| Red crosses above Green | Momentum shift to sellers | Potential sell signal |
| Both near 50 | Balanced market | Wait for confirmation |
### Key Features
**1. Crossover Signals**
- **BUY signal**: When green line crosses above red line with sufficient momentum
- **SELL signal**: When red line crosses above green line with sufficient momentum
- Triangle markers appear automatically on the chart
**2. Divergence Detection**
- **Bullish Divergence (DIV+)**: Price makes lower lows but indicator makes higher lows → Potential reversal up
- **Bearish Divergence (DIV-)**: Price makes higher highs but indicator makes lower highs → Potential reversal down
- Yellow/orange circles mark divergences automatically
**3. Background Coloring**
- **Green background**: Buying pressure dominates
- **Red background**: Selling pressure dominates
- Intensity shows strength of pressure
**4. Live Status Table**
- Real-time RSI values for both buying and selling
- Current momentum status
- Market pressure assessment
- Last detected signal
### Settings Customization
**Basic Settings:**
- **RSI Period**: Default 14, adjust based on your trading timeframe (shorter = more sensitive)
**Visual Settings:**
- **Histogram Mode**: Toggle between line and histogram display
- **Background Coloring**: Enable/disable pressure-based background
- **Transparency**: Adjust background opacity
**Signal Settings:**
- **Crossover Signals**: Show/hide BUY/SELL markers
- **Divergence Detection**: Enable automatic divergence spotting
- **Sensitivity**: Low/Medium/High - controls how strong momentum must be for signals
**Level Lines:**
- **Overbought/Oversold**: Adjust threshold levels (default 70/30)
## ⚠️ IMPORTANT DISCLAIMER
### This Indicator Should NOT Be Used Alone
**ALWAYS combine this indicator with other forms of analysis:**
✅ **Price Action Analysis**
- Support and resistance levels
- Trend lines and chart patterns
- Candlestick formations
✅ **Other Technical Indicators**
- Moving Averages (trend confirmation)
- MACD (momentum confirmation)
- Volume Profile (context)
- ATR (volatility assessment)
- Bollinger Bands (volatility and extremes)
✅ **Multiple Timeframe Analysis**
- Check higher timeframes for overall trend
- Use lower timeframes for precise entries
- Ensure signals align across timeframes
✅ **Fundamental Analysis**
- News and economic events
- Earnings reports (for stocks)
- Market sentiment
- Macro conditions
✅ **Risk Management**
- **NEVER** risk more than 1-2% per trade
- Always use stop losses
- Calculate position size before entering
- Have a clear exit strategy
### Common Pitfalls to Avoid
❌ **Don't** take every signal blindly
❌ **Don't** ignore the overall market trend
❌ **Don't** trade against strong momentum without confirmation
❌ **Don't** forget about major support/resistance levels
❌ **Don't** over-leverage based on indicator signals
❌ **Don't** ignore fundamental catalysts
### Best Practices
✅ **Wait for confluence**: Multiple indicators agreeing
✅ **Consider market context**: Bull/bear market conditions
✅ **Use appropriate timeframes**: Match your trading style
✅ **Backtest first**: Test on historical data before live trading
✅ **Keep a trading journal**: Track what works and what doesn't
✅ **Respect your risk management rules**: Always
## 📈 Example Trading Scenarios
### Scenario 1: Strong Trend Following
- **Setup**: Green RSI consistently above 50, price in uptrend
- **Confirmation**: Higher timeframe trend is up, price above major MA
- **Entry**: BUY signal on pullback when green crosses red
- **Stop Loss**: Below recent swing low
- **Exit**: When red RSI crosses above green or divergence appears
### Scenario 2: Reversal Trading
- **Setup**: Bullish divergence (DIV+) appears at support level
- **Confirmation**: Price shows bullish candlestick pattern, other oscillators oversold
- **Entry**: After confirmation candle closes
- **Stop Loss**: Below divergence low
- **Exit**: At resistance or when momentum weakens
### Scenario 3: Avoiding False Signals
- **Signal**: BUY signal appears
- **Check**: Price is at strong resistance, higher timeframe shows downtrend
- **Action**: **SKIP the trade** - context overrides signal
- **Result**: Protected capital by avoiding low-probability setup
## 🎓 Educational Use
This indicator is designed to help traders:
- Understand volume-based momentum
- Identify shifts in market pressure
- Learn about divergence patterns
- Practice multi-indicator analysis
**Remember**: No indicator is perfect. Markets are complex and influenced by countless factors. Use this tool as one piece of your trading puzzle, not as a standalone solution.
## 📞 Support & Updates
- Report bugs or suggest features via comments
- Check back for updates and improvements
- Share your successful setups to help the community learn
## ⚖️ Legal Disclaimer
**This indicator is for educational and informational purposes only.**
- Not financial advice
- Past performance does not guarantee future results
- Trading involves substantial risk of loss
- Only trade with money you can afford to lose
- Consult with a licensed financial advisor before making investment decisions
**The creator of this indicator assumes no responsibility for trading losses incurred through its use.**
---
## 🚀 Happy Trading!
Remember: **Patience, discipline, and proper risk management** are more important than any indicator. Trade smart, trade safe!
*If you find this indicator helpful, please leave a comment and share your experience!*
Multi-Symbol RSI Portfolio Simulator [Honestcowboy]The Multi-Symbol RSI Portfolio Simulator was build to test a theory, does the RSI indicator work in FOREX assets. Does it have predictive power. In this example the security function is used to fetch data for 40 different Forex pairs and it executes a very simple trading strategy. Sell when RSI hits 80, flatten if back below. Buy when RSI hits 20, flatten if back above. All executed on bar closes so no intra bar stuff.
🟦 🟦 🟦 Very Important Disclaimer
This is a very crude indicator which does not calculate trading costs and assumes perfect execution of trades with zero slippage. Forex markets carry high risk and most CFD brokers ask high spreads and trading costs so this approach will most likely only work on the H4 or above Daily charts. We are observing market behaviour here, it's a study of price action not an executable ready strategy. Do your own cost analysis, simulation if you want to take this idea further.
🟦 What is the point?
I build this indicator to prove that RSI indeed causes price action reactions especially on the intraday level in forex. Just like any study or paper not accounting for trading costs, this is just hypothetical and a starting point.
🟦 CALCULATION
On each bar close it will check RSI value for each pair in the list. If one of the pairs meets the condition for a long or short it will open that trade on next bar open and hold it till close. Add the profits/losses to the equity line. And if condition still true on next bar do it again, this is a very crude simple form of testing. Tradingview strategy tester is superior but does not allow for multi-pair trading.
Short Condition: RSI above 80
Short Exit: RSI below 70
Long Condition: RSI below 20
Long Exit: RSI above 30
The indicator also has 2 modes: Mean reversion and Trend mode. On default it uses Mean Reversion which is explained above. Trend mode does the exact opposite, so long above 80 short below 20.
I've also included a table with a heatmap showing all the trading pairs the indicator uses, it's current RSI value and color based on how close indicator is to shorting or longing it from green to red with gray being middle so no direction.
🟦 USE CASES
You can tweak the setting for different RSI values. Different RSI lengths and also freely change any trading pair inside the list to make your own test. I'm including some screenshots of tests here below:
Sri- momentum Plus with Adjustable Hiline & Position Shift📈 Sri – Momentum Plus
Normalized Momentum with Adjustable Hilines & Position Shift
Sri – Momentum Plus is a custom, normalized momentum oscillator designed to provide clear, scalable momentum insight across any timeframe, with a strong focus on readability, adaptability, and multi-indicator compatibility.
The indicator combines normalized momentum, adaptive hilines, and vertical position control into a single coherent framework, making it suitable for both discretionary and systematic traders.
🔹 Core Concepts & Originality
1️⃣ Normalized Momentum Calculation
Momentum is derived from the difference between fast and slow averages of median price.
The raw momentum is normalized using either:
Volatility-based normalization (True Range smoothing), or
Price-average normalization
This keeps momentum behavior consistent across instruments and timeframes, avoiding distortion caused by volatility differences.
2️⃣ Sensitivity-Driven Adaptive Scaling
A single Sensitivity parameter controls:
Momentum amplitude
Histogram height
Upper and lower hiline distance
Hilines scale proportionally with sensitivity, rather than remaining fixed.
This preserves the internal structure of momentum across different trading styles and time horizons.
3️⃣ Adjustable Hilines & Vertical Position Shift
A unified offset control allows the entire indicator to be shifted up or down within the pane.
The following elements move together:
Normalized momentum line
Signal line
Histogram
Upper / lower hilines
This enables clean stacking of multiple oscillators without overlap.
4️⃣ Multi-Timeframe Momentum Support
Momentum can be calculated using:
Chart timeframe, or
Any selected intraday or higher timeframe (1 → Monthly)
Enables higher-timeframe momentum context while operating on lower-timeframe charts.
Calculations are performed with non-repainting logic (lookahead disabled).
5️⃣ Trend-Aware Histogram Visualization
Histogram coloring reflects:
Momentum relative to its signal line
Positive vs negative momentum zones
This provides intuitive visual feedback on:
Momentum expansion
Weakening phases
Transitional states
🔹 How to use this indicator
Common use cases:
Momentum confirmation for trend continuation
Assessing strength vs weakness within price swings
Comparing momentum behavior across instruments
Maintaining clarity in multi-indicator layouts
Suggested approach:
Use higher-timeframe momentum for directional bias
Combine with price action, structure, or volume for execution
Adjust sensitivity and offset to fit your chart layout
⚠️ Important Notes
This is a momentum analysis and confirmation tool, not a buy/sell signal generator
Best used as part of a broader trading framework
Normalization improves comparability, not prediction accuracy
🔒 Why the source is protected
This script incorporates:
Custom momentum normalization logic
Sensitivity-adaptive hiline architecture
Unified vertical shifting of all components
Multi-timeframe execution without repainting
While the methodology and usage are fully explained, the implementation details are protected to preserve originality.
✅ Summary
Sri – Momentum Plus delivers a flexible, normalized, and position-adjustable momentum framework, built for traders who require clarity, consistency, and multi-timeframe awareness in complex chart environments.
Liquidity TrailsLiquidity Trails
A Volatility-Anchored Market Expectation & Risk Mapping Tool
Have you ever been stopped out by normal market noise?
Have you noticed price reacting around “invisible boundaries” that aren’t obvious on a naked chart?
Liquidity Trails was designed to address exactly that problem — by mapping statistical daily price expectations using fixed higher-timeframe volatility data.
This indicator does not predict direction.
Instead, it helps traders understand where price is statistically expected to travel within a given session or period, allowing for more informed risk placement and expectation management.
📌 Core Features
1️⃣ Fixed Timeframe Volatility Anchoring
All calculations are derived from a user-selected anchor timeframe (Daily, Weekly, Monthly, or custom), ensuring that levels remain stable and unchanged when switching chart timeframes.
This prevents intraday recalculation noise and keeps reference levels consistent throughout the anchor period.
2️⃣ Average Daily Range (ADR) Projection
The indicator calculates ADR based on historical price ranges and projects:
Estimated upper expansion level
Estimated lower expansion level
These levels represent statistical price boundaries, not support or resistance claims.
3️⃣ ATR Context Levels
Average True Range (ATR) bands are plotted from the same anchor timeframe to provide context for volatility expansion vs contraction.
This allows traders to visually assess whether price is operating within, near, or beyond typical volatility conditions.
4️⃣ Volatility-Adjusted Stop Reference Levels
Optional stop reference levels are plotted at a configurable percentage of ADR (default: 60%), helping traders evaluate whether their risk placement is:
Too tight (high noise exposure)
Too wide (reduced reward efficiency)
Statistically aligned with market behavior
5️⃣ Timeframe-Independent Visualization
Levels are drawn using step-style plots, ensuring they:
Remain flat for the entire anchor period
Update only when a new anchor candle begins
Do not repaint intraday
🧠 How This Indicator Is Best Used
Liquidity Trails is intended as a context and risk framework, not an entry signal.
It complements:
Structure-based trading
Liquidity sweep models
Mean-reversion or expansion strategies
Discretionary and systematic approaches
Use price action, structure, or your existing strategy for entries — use this tool to define expectations and manage risk.
💡 Suitable For
Intraday traders seeking stable daily reference levels
Swing traders anchoring weekly or monthly volatility
Traders who want objective volatility context without clutter
🔔 Disclaimer
This indicator is a visual analytical tool only.
It does not provide trade signals or financial advice.
All trading decisions and risk management remain the responsibility of the user.
SuperTrend Strategy V4 [Filtered & Directional]
Strategy Type: Trend-Following / Breakout
Core Indicator: SuperTrend (ATR-based trailing stop)
Risk Profile: Variable (User-defined Risk per Trade)
Filtering: ADX, CHOP
1. Executive Summary
This strategy is an advanced trend-following system designed to capture significant market moves while rigorously filtering out "noise" and consolidation phases. Built on the classic SuperTrend indicator, V4 introduces a modular "Regime Filter" suite (ADX, Choppiness Index) to solve the common problem of "whipsaw" losses during sideways markets. It features dynamic position sizing based on account risk and allows for full directional control (Long-only, Short-only, or Bi-directional).
2. Core Logic (The Engine)
The primary signal generation relies on the SuperTrend indicator, which serves two purposes:
- Trend Definition: Determining the market direction (Bullish/Bearish).
- Trailing Stop Loss: Providing a dynamic exit point that moves with the price.
- Entry Signal: A trade is triggered when the price closes on the opposite side of the SuperTrend line (flipping the trend direction), provided that all enabled filters give permission.
Important Note: ATR Length and Factor are key parameters of the strategy; to get positive backtesting results, those should be aligned individually for each specific asset and timeframe.
3. The "Anti-Whipsaw" Filter Suite
To prevent overtrading in ranging markets, the strategy employs three selectable filters. These act as "logic gates" if any enabled filter says "No," the trade is skipped.
A. Choppiness Index (The Noise Filter):
- Purpose: Detects lack of trend.
- Logic: If the "Chop" value exceeds the threshold, the market is considered too chaotic. The strategy waits for the index to drop, indicating a return to directional movement.
- Default settings (recommended):
- Chop Length: 14
- Max Chop Threshold: 55
B. ADX (The Strength Filter):
- Purpose: Measures the strength of the current trend.
- Logic: Only permits entry if the Average Directional Index (ADX) is above a set threshold, ensuring momentum is present.
- Default settings (recommended):
- DI Length: 14
- ADX Smoothing Length: 5
- Min ADX Threshold: 15
4. Risk Management & Position Sizing*
Instead of fixed lot sizes, this strategy uses Volatility-Adjusted Sizing:
- Risk Per Trade: The user defines a fixed dollar amount to risk according to initial capital.
- Calculation: The script calculates the distance between the Entry Price and the SuperTrend (Stop Loss). It then mathematically determines the exact position size so that if the Stop Loss is hit, the loss equals the defined risk amount.
- Safety: Includes a failsafe for zero-division errors during extreme volatility (e.g., crypto flash crashes).
5. Directional Bias Control
Recognizing that different assets have different biases (e.g., Crypto is often long-biased; Forex pairs can be mean-reverting), V4 allows the user to toggle:
- Enable Longs: Toggle ON/OFF.
- Enable Shorts: Toggle ON/OFF.
Note: Disabling a direction prevents new entries but allows existing positions to close naturally to preserve capital.
6. Visual Aids
- Trend Lines: Green/Red SuperTrend line indicates active trailing stop.
- Regime Highlighting: The chart background turns Gray when the market is in a "No Trade Zone" (failed filter checks), allowing for instant visual backtesting of the filters' effectiveness.
UCY-DorukBot2 LiveTitle:
DorukBot2 aka Doruk DENİZ
Short Title:
DorukBot2
Author:
Uğur Çağrı YILMAZ
x.com
Co-Authors:
Murat DENİZ
Mehmet Sıddık TEMEL
Osman ÖZEN
Salih ÜNSAL
Serkan BODUR
Backtest parameters:
Backtested with default parameter of DorukBot2 XU030D1! 5 min BIST chart (with all available price data)
Backtested initial capital 100.000 TRY
Order size set as 100% of equity
Commission is set to 0.1% same as this is a brokerage default in Turkey.
DorukBot is a hit and run indicator so it's main purpose is to enter positions in intra-day movements at price action levels.
M1 RSIRSI (Relative Strength Index)
Measures price momentum to identify overbought and oversold conditions.
Volume
Shows trading activity strength; higher volume confirms strong moves.
MACD (Moving Average Convergence Divergence)
Tracks trend direction and momentum using moving average crossovers.
Stochastic Oscillator
Compares closing price to price range to spot reversals.
HoneG_CCIv18HoneG_CCIv18
This is a signal tool capable of both counter-trend and trend-following trading. Apply it to 1-minute charts.
For trend-following, it features a rapid-fire mode. When conditions align, rapid-fire mode activates, and two indicators signaling the rapid-fire timing will turn ON/OFF in sync with price extension moments.
逆張りも順張りも出来るサインツールです。１分足チャートに適用してください。
順張りには連打モードがあり、条件が揃うと連打モードが発動し、連打タイミングを知らせる二か所の表示が、価格が伸びるタイミングに合わせてON/OFFします。
Stochastic Long on 25 Crossover Strategy + ATR Filter 5 minThis Pine Script strategy is a momentum-based long-only system designed for 5-minute charts. It combines the Stochastic Oscillator for entry timing with an Average True Range (ATR) filter to ensure the market has sufficient volatility before entering a trade.
## Strategy Overview
The strategy focuses on catching "oversold" bounces while filtering out "choppy" or low-volatility periods that often lead to false signals. It is built for intraday traders who want disciplined session management and a visual dashboard for tracking performance.
HTB Reversal Pattern - RSI DivergenceHow this Script Works
Pivot Points: The script looks for "peaks" and "valleys" in the RSI indicator.
Divergence Logic: * Bullish: If the current price low is lower than the previous low, but the RSI low is higher than the previous RSI low, it indicates the selling pressure is fading despite the price drop.
Bearish: If the current price high is higher than the previous high, but the RSI high is lower than the previous RSI high, it suggests buying momentum is weakening.
The "Lookback" Offset: Because pivot points require a few bars to the right to be confirmed (defined by lbR), the labels will appear on the chart with a small delay (default is 5 bars). This is necessary to prevent "repainting" (signals that disappear after they appear).
DayTradeMind Combined High Win Rate IndicatorThis is a combined confirmation indicator that generates buy/sell signals only when multiple technical indicators align. It's designed to improve win rates by requiring confluence before triggering trades.
Core Components
1. MACD (Moving Average Convergence Divergence)
Detects momentum shifts through line crossovers
Acts as both a confirmation tool and a trigger mechanism
2. Donchian Channels
Tracks 20-period price range
Uses middle line to determine trend (price above = bullish, below = bearish)
3. SuperTrend
ATR-based trend following indicator
Provides clear bullish/bearish trend direction
4. %B Bollinger Bands
Measures price position within Bollinger Bands
Identifies oversold (buying opportunity) and overbought (selling opportunity) conditions
Signal Logic
The indicator uses a confirmation counting system:
Minimum Confirmations: Default requires 2 out of 4 indicators to agree
Buy Signal: Requires minimum bullish confirmations + a fresh trigger (MACD crossover or price crossing above Donchian middle)
Sell Signal: Requires minimum bearish confirmations + a fresh trigger (MACD crossunder or price crossing below Donchian middle)
This dual-requirement (confirmations + trigger) helps avoid late entries by ensuring fresh momentum.
Key Features
Adjustable sensitivity: Change minimum confirmations (1-4) to balance signal frequency vs. quality
Visual dashboard: Optional stats panel showing current market conditions
Built-in alerts: Automated notifications for trade setups
Clean visualization: BUY/SELL labels directly on the chart
Market Stress IndicatorMeasures Market Stress
Extreme high or low reading might signal a reversal or breakout - sometimes more time is needed and look divergences.
Feedback is welcome
TL Control PanelThe TL Control Panel is a comprehensive multi-timeframe dashboard that displays TrapLight signals across 8 different timeframes simultaneously (1m, 5m, 10m, 15m, 30m, 1h, 4h, Daily).
FEATURES:
• TL Column: Shows the Stochastic RSI K value with intelligent color coding:
- Bright Red (99.5-100): Max Sell zone
- Dim Red (95-99.5): Sell zone
- Yellow (5-95): Not Ready zone
- Dim Green (0.5-5): Buy zone
- Bright Green (0-0.5): Max Buy zone
• K/K Column: Displays Kriss/Kross signals when the 10 EMA crosses the 50 EMA
- Blue box = Kriss (10 crossed above 50 - Buy)
- Yellow box = Kross (10 crossed below 50 - Sell)
• GK Column: Shows Golden Kross signals (50 EMA crosses above 200 EMA - Buy)
• DK Column: Shows Death Kross signals (50 EMA crosses below 200 EMA - Sell)
All timeframes are fully customizable, allowing traders to enable/disable specific intervals. The dashboard provides instant visual confirmation of trend alignment across multiple timeframes, helping traders identify high-probability entry and exit points at a glance.
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.
HoneG_CCIv17HoneG_CCIv17
This is a signal tool capable of both counter-trend and trend-following trading. Apply it to 1-minute charts.
For trend-following, it features a rapid-fire mode. When conditions align, rapid-fire mode activates, and two indicators signaling the rapid-fire timing will turn ON/OFF in sync with price extension moments.
逆張りも順張りも出来るサインツールです。１分足チャートに適用してください。
順張りには連打モードがあり、条件が揃うと連打モードが発動し、連打タイミングを知らせる二か所の表示が、価格が伸びるタイミングに合わせてON/OFFします。
CRR Trend Conformator v1.2CRR Trend Conformator v1.1 (Invite-Only)
CRR Trend Conformator v1.1 is an analysis-only momentum and trend alignment tool designed to help traders visually assess whether market conditions are conforming or diverging across multiple internal oscillators.
This indicator combines:
A higher-cycle stochastic structure to observe broader momentum positioning
A lower-cycle stochastic comparison to reflect short-term directional pressure
A custom RSI-based banker momentum module to highlight internal strength and stability
All parameters are pre-configured and locked to preserve consistency, reduce curve-fitting, and maintain a standardized analytical framework across markets and timeframes.
How it is intended to be used
To observe trend harmony between momentum layers
To assist in identifying momentum expansion, compression, or imbalance
To support contextual market analysis, not standalone decision-making
Important Notes
This is an invite-only, proprietary analytical tool
It is not a trading strategy and does not generate buy or sell signals
Intended strictly for educational and analytical purposes
Users should always apply independent judgment and risk managemen
