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Crypto MMFCrypto MMF Indicator: The Crypto Money Flow (MMF) indicator represents an advanced technical analysis tool specifically designed for cryptocurrency markets. This document outlines the logical foundation for its component integration, explains the synergistic mechanisms between its constituent elements, and provides practical implementation guidance without making unrealistic performance claims. Integration Rationale Volume-Weighted Momentum Analysis The primary integration rationale combines price momentum with trading volume—two fundamental market dimensions frequently analyzed in isolation. Traditional momentum oscillators like RSI measure price velocity but ignore transaction volume, potentially misrepresenting conviction behind price movements. By multiplying price changes by corresponding volume, the indicator creates a conviction-weighted momentum measure that distinguishes between high-volume breakouts and low-volume price fluctuations. The theoretical foundation for this integration stems from market microstructure theory, which posits that volume accompanies informed trading. In cryptocurrency markets—where volatility is pronounced and manipulation attempts occur—volume confirmation provides valuable filtering of meaningful price movements from noise. Multi-Timeframe Momentum Convergence The second integration layer incorporates higher timeframe analysis, acknowledging that markets function across temporal hierarchies. While shorter timeframes offer precision for entry and exit timing, longer timeframes establish directional bias and filter out insignificant counter-trend movements. This multi-timeframe approach follows established technical analysis principles that prioritize trend alignment across time horizons. This integration is particularly relevant for cryptocurrency traders, as these markets exhibit strong momentum characteristics where higher timeframe trends often dominate shorter-term fluctuations. The higher timeframe component serves as both a trend filter and early warning system for momentum divergences. Component Synergy Mechanism Core Calculation Components Price-Volume Integration Engine The indicator begins by calculating the average of open, high, low, and close prices (OHLC4), providing a balanced price representation less susceptible to intra-period anomalies. This value undergoes differencing to establish direction, then multiplies by volume to create volume-weighted momentum values. This transformation produces two separate data streams: upward volume-weighted momentum and downward volume-weighted momentum. Exponential Smoothing Application Both momentum streams undergo exponential smoothing using Wilder's Relative Moving Average methodology. This approach applies greater weight to recent observations while maintaining memory of historical patterns, striking an optimal balance between responsiveness and noise reduction. The smoothed upward and downward momentum values create a ratio representing the relative strength between buying and selling pressure. Normalization Process The momentum ratio undergoes mathematical normalization to produce a bounded oscillator ranging from 0 to 100. This normalization enables consistent interpretation across different market conditions, timeframes, and cryptocurrency pairs, establishing standardized overbought and oversold thresholds. Multi-Timeframe Synchronization System Hierarchical Timeframe Calculation The indicator dynamically determines appropriate higher timeframes based on user-defined multipliers and current chart intervals. This automated calculation eliminates manual timeframe selection errors while ensuring logical temporal relationships between analyzed periods. Cross-Timeframe Data Retrieval A secure data retrieval mechanism accesses higher timeframe momentum calculations without introducing future bias or repainting. This process maintains data integrity while enabling direct comparison between current and higher timeframe momentum conditions. Higher Timeframe Smoothing Layer An additional exponential moving average smooths the higher timeframe data, reducing noise and creating a stable reference signal for divergence analysis. This smoothing parameter is independently adjustable, allowing users to balance sensitivity and stability according to their trading style. Signal Generation Framework Threshold-Based Zone Analysis The indicator establishes three operational zones based on statistical observations of momentum extremes: Neutral zone (25-75): Represents balanced market conditions Lower extreme zone (0-25): Indicates potential oversold conditions Upper extreme zone (75-100): Indicates potential overbought conditions These threshold levels derive from empirical observations of momentum oscillator behavior in trending and ranging cryptocurrency markets, though optimal values may vary across different market regimes. Conditional Signal Categorization The system monitors four distinct momentum conditions: Initial extreme readings: Momentum enters extreme zones without confirmation Confirmed extremes: Smoothed momentum follows into extreme zones Multi-timeframe alignment: Current and higher timeframe momentum move in concert Multi-timeframe divergence: Current and higher timeframe momentum diverge Each condition category carries different interpretive implications, with stronger signals emerging when multiple conditions converge. Practical Implementation Guidelines Functional Applications Trend Confirmation Protocol When price trends directionally with momentum maintaining consistent readings above or below the midpoint (50), and higher timeframe momentum confirms the direction, this suggests sustainable trend conditions. The volume-weighting component further validates whether significant trading activity supports the price movement. Divergence Detection Methodology Three divergence types merit monitoring: Classic divergence: Price reaches new extremes while momentum fails to confirm Hidden divergence: Price retraces within a trend while momentum suggests trend continuation Timeframe divergence: Momentum moves opposite directions across timeframes Divergence analysis proves most reliable when occurring in conjunction with other technical factors such as support/resistance levels or chart patterns. Zone-Based Risk Assessment The oscillator's bounded nature facilitates structured risk assessment: Extreme zone entries: Higher potential reward but require confirmation Neutral zone movements: Lower signal clarity but potentially favorable risk-reward ratios Zone transitions: Often precede accelerated price movements Parameter Configuration Philosophy Core Parameter Settings The default parameters balance responsiveness and reliability across diverse cryptocurrency market conditions. The 14-period calculation length aligns with conventional momentum oscillator standards, providing sufficient data for meaningful smoothing while maintaining sensitivity to recent market developments. Multi-Timeframe Multiplier Selection The default 3x multiplier creates meaningful temporal separation without introducing excessive lag. This multiplier proves particularly effective for swing trading horizons, though position traders may benefit from larger multipliers while shorter-term traders might reduce this value. Smoothing Parameter Considerations Dual smoothing parameters (primary and higher timeframe) allow independent adjustment of sensitivity. More volatile cryptocurrency pairs typically benefit from increased smoothing, while less volatile conditions may permit reduced smoothing for earlier signal generation. Interpretation Protocol Step 1: Momentum Context Assessment Begin analysis by determining the current momentum context: Absolute level relative to threshold zones Direction and velocity of recent momentum changes Relationship to the midpoint (50) level Step 2: Timeframe Alignment Evaluation Compare current and higher timeframe momentum: Confirm directional alignment for trend trading Identify divergences for potential reversal scenarios Assess convergence strength for position sizing decisions Step 3: Volume Confirmation Analysis Evaluate whether recent volume patterns support momentum readings: Extreme momentum with declining volume: Caution warranted Neutral momentum with increasing volume: Potential breakout precursor Confirmed momentum with expanding volume: Higher conviction signal Step 4: Market Context Integration Correlate momentum readings with broader market context: Correlated cryptocurrency movements Overall market capitalization trends Relevant news or fundamental developments Originality and Differentiation Innovative Design Elements Volume-Integrated Momentum Calculation Unlike conventional momentum oscillators that analyze price in isolation, this indicator integrates volume as a conviction multiplier. This integration follows logical market principles where volume validates price movements, creating a more robust momentum assessment particularly valuable in cryptocurrency markets where volume manipulation attempts occasionally occur. Dynamic Timeframe Adaptation The automated timeframe calculation system eliminates manual timeframe selection while ensuring logical temporal relationships. This approach reduces user error and maintains consistency across different charting intervals and trading instruments. Multi-Layer Confirmation Framework The indicator employs three analytical layers: raw momentum, smoothed momentum, and higher timeframe momentum. This layered approach provides graduated confirmation levels, allowing traders to distinguish between preliminary signals and confirmed conditions. Theoretical Foundations The indicator's design incorporates elements from multiple technical analysis disciplines: Momentum analysis principles from oscillator theory Volume-price relationships from market microstructure Multi-timeframe analysis from hierarchical trend theory Statistical normalization from quantitative analysis This interdisciplinary approach creates a comprehensive tool addressing multiple dimensions of market analysis rather than focusing on isolated phenomena. Risk Management Integration Signal Quality Assessment The indicator facilitates signal quality evaluation through multiple confirmation requirements: Primary momentum extreme reading Smoothed momentum confirmation Higher timeframe alignment or constructive divergence Supporting volume characteristics Signal strength varies with the number of confirmed elements, enabling proportionate position sizing and risk allocation. False Signal Mitigation Several design elements reduce false signal susceptibility: Volume-weighting filters low-conviction price movements Exponential smoothing reduces noise-induced fluctuations Multi-timeframe analysis filters counter-trend movements Graduated confirmation requirements prevent premature action These mechanisms collectively improve signal reliability while acknowledging that no technical indicator eliminates false signals entirely. Implementation Considerations Cryptocurrency Market Specificity The indicator incorporates design elements particularly relevant to cryptocurrency markets: 24/7 market operation accommodation High volatility regime compatibility Volume data availability considerations Cross-market correlation awareness These adaptations enhance effectiveness in cryptocurrency trading environments while maintaining applicability to traditional financial markets. Customization Guidelines Users may adjust parameters based on: Trading timeframe (scalping, day trading, swing trading) Cryptocurrency pair characteristics (volatility, volume profile) Risk tolerance and trading style Market regime (trending, ranging, transitional) Empirical testing across different parameter sets and market conditions provides the most reliable customization guidance. Conclusion The Crypto MMF indicator represents a logically integrated analytical tool combining volume-weighted momentum analysis with multi-timeframe perspective. Its component synergy creates a comprehensive market assessment framework while maintaining practical implementation feasibility. Users should integrate this tool within broader trading methodologies, combining its signals with additional technical, fundamental, and risk management considerations. The indicator's value derives from its structured approach to market analysis rather than predictive capabilities. By providing organized information about momentum, volume relationships, and timeframe interactions, it supports informed trading decisions within appropriate risk parameters.
Indikator Pine Script®
oleh neeson1987
UFX PRO How it works The indicator plots a single line on the chart that changes position and color depending on the trend: 🟢 Uptrend: The SuperTrend line is below the price → bullish bias 🔴 Downtrend: The SuperTrend line is above the price → bearish bias When the price crosses the SuperTrend line, it often signals a potential trend reversal. ✅ Advantages ✔ Easy to read ✔ Works well in trending markets ✔ Adaptive to volatility ✔ Useful for stops and trend confirmation
Indikator Pine Script®
oleh UFXAlgo
MarketStructureLab Structure Zones (FREE) This indicator highlights key structural zones where the market is most likely to: • continue the current move • pause, consolidate, or transition into a range There are no buy/sell signals, arrows, or predictions. Only structure, context, and reaction areas. How it works • Detects confirmed swing highs and lows using pivot logic • Filters insignificant moves with an ATR-based threshold • Builds structure zones (ranges, not lines) around key levels • Displays only the active working window around the current price • Shows a simple Market State: Trend / Range / Transition No repaint tricks. No future leaks. Pure price structure. How to use Use the zones as context, not signals: • observe reactions and acceptance • combine with your own entry model (price action, volume, trend filter) • works on any market and any timeframe This tool is designed for traders who prefer clarity over complexity. This is a FREE MVP version. More advanced structure logic and tools will be released in future versions. Not financial advice. market structure, structure zones, support resistance, supply demand, swing, pivot, price action, range, trend, ATR
Indikator Pine Script®
oleh MarketStructureLab
1
TSM 1987 RSI + Supertrend + High Volume StrategyRSI + Supertrend + High Volume Strategy is a rule-based trading strategy designed to capture high-probability trend reversals and continuations using a combination of trend, momentum, and volume confirmation. The strategy uses Supertrend to identify the primary market direction, RSI to confirm momentum strength, and High Volume to validate participation from strong market players. Trades are triggered only when all conditions align, helping to filter out low-quality signals. Each BUY and SELL signal is plotted on the chart along with the exact trade date, and the script is fully compatible with TradingView’s Strategy Tester for backtesting performance across different markets and timeframes. 🔑 Core Logic BUY Supertrend turns bullish RSI is above the defined trend level Volume is significantly higher than average SELL Supertrend turns bearish RSI is below the defined trend level Volume confirms strong selling pressure 🎯 Best Use Works well for intraday and swing trading Suitable for stocks, indices, crypto, and forex Designed for trend-following with confirmation ⚠️ Disclaimer This strategy is for educational purposes only. Always use proper risk management and stop-loss. Past performance does not guarantee future results.
Strategi Pine Script®
oleh SARAVANANTamilShareMarket
WPNR + ATR Bands + MACDAS StrategyThis indicator is a hybrid approach that blends momentum, volatility, and trend following into one. It's designed to filter out market "noise" and capture high-probability turning points. Components Used: Williams %R (WPNR): Captures moments when the price crosses above the oversold (below -80) region (Long) or below the overbought (above -20) region (Short). ATR Bands: Measure price volatility. They prevent spurious breaks by ensuring signals only activate when the price is within a reasonable range (within the bands). MACDAS: This is a MACD-based trend filter. It only allows trades to be opened in the direction of the main trend (Buy when above the MACD signal line, Sell when below). How to Use? Buy (Long): W%R must cross above the 80 level, the price must hold above the lower ATR band, and MACD must be in the positive zone (bullish). Sell ​​(Short): W%R should cross below the 20 level, price should remain below the upper ATR band, and MACD should be in the negative (bearish) zone Note: This strategy is optimized for 15-minute and 1-hour charts. Always remember to use a stop-loss order.
Indikator Pine Script®
oleh mehmetbezgincan
TSM RSI + Supertrend + High Volume Strategy (BACKTESTED) 1987RSI + Supertrend + High Volume Strategy is a rule-based trading strategy designed to capture high-probability trend reversals and continuations using a combination of trend, momentum, and volume confirmation. The strategy uses Supertrend to identify the primary market direction, RSI to confirm momentum strength, and High Volume to validate participation from strong market players. Trades are triggered only when all conditions align, helping to filter out low-quality signals. Each BUY and SELL signal is plotted on the chart along with the exact trade date, and the script is fully compatible with TradingView’s Strategy Tester for backtesting performance across different markets and timeframes. Core Logic BUY Supertrend turns bullish RSI is above the defined trend level Volume is significantly higher than average SELL Supertrend turns bearish RSI is below the defined trend level Volume confirms strong selling pressure 🎯 Best Use Works well for intraday and swing trading Suitable for stocks, indices, crypto, and forex Designed for trend-following with confirmation ⚠️ Disclaimer This strategy is for educational purposes only. Always use proper risk management and stop-loss. Past performance does not guarantee future results.
Strategi Pine Script®
oleh SARAVANANTamilShareMarket
BTC - Power Law 1.5: Dynamic 50/50 Decay OVERVIEW Most Bitcoin models treat the asset as if it exists in a vacuum of infinite exponential growth. The classical Power Law (v1.0) was a groundbreaking start, but as Bitcoin matures into a multi-trillion dollar institutional asset, our models must account for the laws of physics and liquidity. The Power Law 1.5: Dynamic 50/50 Decay is a second-generation structural engine. It doesn't just draw a line; it calculates the structural "Center of Gravity" of Bitcoin’s adoption curve while accounting for the natural maturation (decay) of the network’s growth speed. THE MATHEMATICAL BACKBONE: QUANTILE MEDIAN CALCULATION The "Fair Value" line (blue) is derived using a Log-Log Linear Regression focused on the 50th percentile (Median). The script first transforms the price and the time (days since the Genesis Block) into a logarithmic scale. It then calculates a power-law constant by finding the Absolute Least Deviation across the entire historical dataset since 2011. Specifically, it uses the formula: Price = 10^(Intercept + Slope * log10(Days)) . To ensure the line is a true median, the script calculates the Median Offset of every historical price point from the raw regression line. By shifting the intercept by this median value, we guarantee that exactly 50% of all weekly bars fall above the curve and 50% fall below it, creating a robust, non-biased structural center. THE ALPHA SHADOW: DYNAMIC EXPONENT PROJECTION Unlike standard power-law projections that rely on a static slope, the "Alpha Shadow" (the projection extending from the blue backbone) utilizes a Time-Varying Exponent Model . The model acknowledges that Bitcoin's growth speed—the exponent 'b'—is a decaying function of time, reflecting the diminishing returns of a maturing asset. The script recalculated the Instantaneous Slope on every single bar using the formula: Future_Slope = Initial_Slope - (Decay_Rate * log10(Total_Days_from_Genesis)) . While the Decay Rate (default 0.045) serves as a structural sensitivity constant, its application ensures the growth speed is a dynamic variable rather than a fixed number. Each segment of the dashed green "Shadow" is a unique power-law arc calculated for its specific future time window. This ensures the projection isn't just a straight line drawn on a log chart, but a mathematically tethered curve that "feels" the weight of increasing market capitalization and respects the reality of global liquidity constraints as we approach 2029. HOW TO READ THE CHART • The Backbone (Solid Blue): This is the 50/50 Fair Value. When price is below this line, Bitcoin is structurally "cheap." When price is far above it, the asset is in a state of cyclical expansion. • The Alpha Shadow (Green): This is the mathematical projection of the current curve into 2029. It shows the path of "Fair Value" as the network continues to mature. • The Regime Audit (Dashboard): A real-time table in the middle-right of your chart provides an audit of the model's integrity, including the current slope (b) and the projected Fair Price for Jan 1, 2029. WHY THIS IS "FRESH" Most open-source Power Law scripts on TradingView utilize a Static Linear Regression —calculating a single constant slope that is applied equally to 2011 and 2029. Furthermore, common community models often rely on "Outer Band" fitting (connecting historical cycle peaks to cycle lows). While visually appealing, these methods can be highly sensitive to "Black Swan" outliers and often assume Bitcoin’s growth velocity is a permanent constant. This script stands out by introducing a Maturation Framework . Instead of fitting to volatile extremes, we anchor the logic to a 50/50 Quantile Median , creating a backbone that is mathematically centered regardless of cyclical noise. By then applying a Dynamic Decay Factor to the growth exponent, we move away from the "static bands" approach and toward a model that respects the physical reality of a maturing, multi-trillion-dollar asset class. This provides a structurally grounded, institutional-grade view of Bitcoin’s trajectory that accounts for the diminishing returns inherent in global adoption. DISCLAIMER This script is for educational and macro-analytical purposes only. It does not constitute financial advice. The 2029 projection is a mathematical extrapolation based on historical data and decay constants; it is not a guarantee of future price action. TAGS bitcoin, powerlaw, macro, regression, fairvalue, btc, projection, quantitative, math, structural, Rob Maths, robmaths, Rob_Maths
Indikator Pine Script®
oleh Rob_Maths
Tactical DeviationTactical Deviation - Multi-Timeframe VWAP Deviation Analysis OVERVIEW Tactical Deviation combines Volume-Weighted Average Price (VWAP) with statistical standard deviation analysis across multiple timeframes (daily, weekly, monthly) to identify potential mean reversion opportunities and extreme price conditions. WHAT MAKES THIS ORIGINAL This script provides a unified multi-timeframe VWAP deviation system that: - Calculates volume-weighted standard deviation (not simple price movements) - Simultaneously tracks deviation levels across daily, weekly, and monthly VWAPs - Offers dynamic volatility adjustment (ATR-based multiplier scaling) - Visualizes deviation zones with color-coded clouds (1σ-2σ, 2σ-3σ, 3σ+) - Integrates pivot detection, volume confirmation, and optional RSI filtering HOW IT WORKS The indicator calculates VWAP and standard deviation for each timeframe using volume-weighted statistics: 1. VWAP = Sum(Price × Volume) / Sum(Volume) for each period 2. Standard Deviation = √ 3. Creates ±1σ, ±2σ, and ±3σ bands around each VWAP 4. Tracks current price deviation in standard deviations from each VWAP Deviation levels: - Level 0: Within ±1σ (normal range) - Level 1: Between ±1σ and ±2σ (moderate deviation) - Level 2: Between ±2σ and ±3σ (significant deviation) - Level 3: Beyond ±3σ (extreme deviation) Optional dynamic multipliers adjust band width based on ATR volatility - wider bands in volatile markets, tighter in calm markets. HOW TO USE Basic Usage: - Enable desired VWAP timeframes (Daily/Weekly/Monthly) - Monitor the info table showing current deviation levels - Look for price reaching ±2σ or ±3σ zones (marked with ⚠️ and 🔥 icons) Visual Elements: - VWAP lines: Green (Daily), Purple (Weekly), White (Monthly) - Colored clouds: Show deviation zones (darker = more extreme) - Info table: Displays current deviation in standard deviations (σ) Trading Applications: Mean Reversion: Price reaching ±2σ/±3σ zones may indicate overextension. Look for reversal signals (pivot bounces, volume spikes) with VWAP as mean reversion target. Trend Analysis: Consistent price above/below VWAP with low deviation suggests trend strength. Extreme deviations may indicate trend exhaustion. Multi-Timeframe Confluence: Compare deviation levels across timeframes. Confluence of extremes on multiple VWAPs may indicate stronger setups. Signal System (Optional): Signals appear when price reaches extreme deviations (≥2σ) with optional confirmations: - Volume spike (1.5× average) - Pivot reversal (bounce off pivot low/high) - RSI filter (oversold/overbought) - Multi-VWAP confluence IMPORTANT: Signals are informational only. Always use proper risk management, stop losses, and confirm with your own analysis. Past performance does not guarantee future results. SETTINGS RECOMMENDATIONS Day Trading: Enable Daily VWAP, show ±1σ bands, use dynamic multipliers, enable pivot reversal. Swing Trading: Enable Daily + Weekly VWAPs, use confluence (2+ VWAPs), enable volume confirmation and RSI filter. Position Trading: Enable all three VWAPs, use confluence requirement, focus on ±2σ/±3σ zones, enable all filters. TECHNICAL DETAILS - VWAP resets at period start (midnight daily, Sunday weekly, 1st of month monthly) - Standard deviation uses volume-weighted statistics - Pivot detection: Configurable lookback (default 5 bars) - Volume analysis: Compares to SMA (default 20-period) - RSI: Standard 14-period calculation DISCLAIMER This indicator is a tool for analysis and should not be used as the sole basis for trading decisions. VWAP and standard deviation describe past price behavior. Market conditions change, and historical patterns may not repeat. No indicator can predict future movements with certainty. Always use proper risk management. Past performance does not guarantee future results. Educational purposes only.
Indikator Pine Script®
oleh RickyTSpanish
SA Range Rank WITH GRADE A SET UP 15 MIN NQI APPRECIATE YOUR SUPPORT PLEASE MESSAGE ME FOR ACCESS TO DIRECT AND POWERFUL SIGNALS. MORE TO COME ! NOTICE DEVELOPER NOTE: chatgpt.com 15 MINUTE — PREPARE / POSITION MODE Developer Note: Bias & Position Framing This daily view is preparatory, not executable. The purpose of the Daily timeframe is to define directional bias, not entries. It helps frame which side of the market deserves attention and which activity should be ignored. The goal here is context, not action. --- Purpose on Daily The Daily timeframe is used to: · Define directional bias for the week · Prepare position-building zones · Identify environments where participation is unnecessary or elevated-risk · Reduce overtrading by narrowing focus Daily charts answer one question only: “If I participate this week, which side makes sense?” --- What Matters Most (Public View) SA Range Indicator (RI): → Is the market transitioning or trending? → Is energy building, releasing, or rotating? SA ZoneEngine (visual context only): → Are daily moves aligned with higher-timeframe structure? → Is price operating with or against dominant bias? These visuals explain environment, not decisions. --- How to Interpret Public Daily Posts · Daily is not timing · Daily is not execution · Daily is not a signal Daily charts prepare the trader mentally and structurally by clarifying: · what deserves patience · what deserves caution · what deserves no attention at all --- Messaging Line “Daily charts prepare the trade — they don’t execute it.” --- SEO Intent daily equity bias, position preparation, market structure analysis --- For Those Who Find Value If these daily posts help you see the market more clearly: · Follow, boost, and share my scripts, Ideas, and MINDS posts · Feel free to message me directly with questions or build requests · Constructive feedback and collaboration are always welcome For traders who want to go deeper, optional memberships may include: · Additional signal access · Early previews · Occasional free tools and upgrades Membership & Signals trianchor.gumroad.com --- --- ⏱ 15-MIN — PREPARE / POSITION MODE Developer Note: Setup Formation Phase The 15-minute timeframe is where setups begin to form, not where they are acted on. This view exists to separate developing structure from noise. --- Purpose on 15-Minute The 15-minute timeframe is used to: · Spot trap-prone conditions · Identify developing structure · Observe compression, rotation, or early expansion · Prepare for execution — without acting This timeframe answers a different question: “Is something forming — or is this noise?” --- What Matters Most (Public View) SA Range Indicator (RI): → Compression → expansion transitions → Energy buildup vs premature release SA CloudRegimes (visual only): → Whether price behavior reflects continuation, pullback, or contraction → Whether movement is controlled or impulsive These visuals describe behavior, not entries. --- How to Interpret Public 15-Minute Posts · 15m is setup formation · 15m is environmental awareness · 15m is not execution Most errors occur when traders act before structure has finished forming. This timeframe exists to slow that impulse down. --- Messaging Line “Preparation happens before the move — not during it.” --- --- For Those Who Find Value If these posts help you better recognize developing structure: · Follow, boost, and share my scripts, Ideas, and MINDS posts · Feel free to message me directly with questions or build requests · Constructive feedback and collaboration are always welcome For traders who want to go deeper, optional memberships may include: · Additional signal access · Early previews · Occasional free tools and upgrades Membership & Signals trianchor.gumroad.com 15 Minute (15m) — Tactical Entry Alignment / “Permission + Timing” Goal: Convert higher-timeframe permission into tradable timing. How to use: · Trade the first clean reclaim after a pullback. · Avoid taking a reclaim if price is already extended far beyond the wake edge (late reclaim). Best conditions: · Works extremely well when: o 1H agrees o session structure is active (open/close windows) o reclaim occurs near VWAP or a key level you already respect Settings: · dispMult 0.75–1.05 · reclaimWindow 6–14 · cooldown 3–6 15-MINUTE — Intraday Structure & Session Logic Range Indicator (RI) · Session compression → impulse likely · Expansion → follow, don’t fade Use: Defines session behavior. --- ZoneEngine (Structure) · Filters session traps · Explains failed breakouts Use: Keeps you aligned with real participation. --- Cloud / Reclaim (Behavior) · Identifies pullback vs continuation · Reclaim confirms acceptance Use: Contextual confirmation. --- Stop-Hunt Proxy · Session liquidity sweeps · Common near opens and transitions Use: Stop-hunt + compression = likely session impulse.Execution Confirmation (Chart TF) VWAP location SMA(3) vs SMA(8) Candle color (green/red) WAIT State (NO CONFIRMED TRADE) When the market is in a specific “trap regime,” the script blocks trades completely. Grade-A setups (the only ones you trade) ✅ Grade-A Long = B+ Confirmed A B+ print is your “Grade-A Long permission + execution alignment.” B+ only fires when ALL are true: Bull Permission is ON (macro score meets threshold) WAIT is OFF Candle is green (close > open) Price is ABOVE VWAP SMA(3) > SMA(8) Translation: Liquidity + rates are supportive, the market is positioned to move up, and price is already trading like institutions are pressing. ✅ Grade-A Short = B− Confirmed A B− print is your “Grade-A Short permission + execution alignment.” B− only fires when ALL are true: Bear Permission is ON WAIT is OFF Candle is red (close < open) Price is BELOW VWAP SMA(3) < SMA(8) Translation: Liquidity + rates are pressuring, volatility is supportive of downside, and price is already trading under VWAP with downside momentum. 🟫 WAIT State = NO CONFIRMED TRADE When the background turns gray (WAIT), you do nothing. WAIT is the regime where: downside breaks often fail signals become unreliable stop-hunts and reversals dominate Your rule is simple: WAIT = stand down until it clears. This prevents “getting chopped to death” in the exact environment you identified as misdirection. Step-by-step: how to use it on TradingView Step 1 — Put it on the right instruments Best use: CME_MINI:NQ1! (primary) CME_MINI:ES1! CBOT_MINI:YM1! CME_MINI:RTY1! Works on equities too (SPY, QQQ, NVDA, AAPL), but it’s tuned for futures execution. Step 2 — Use the right timeframes (this matters) Best “Grade-A” workflow: Chart TF (execution): 5m or 15m Confirm TF (macro permission): 60m or 240m Settings: Confirm TF (intraday) = 60 for aggressive /NQ Confirm TF = 240 for cleaner, fewer signals If you want fewer but stronger signals: 240. Step 3 — Confirm the data sources are valid In Inputs: Vol: CBOE:VIX Dollar: TVC:DXY Rates: CBOT:ZN1! If that doesn’t work on your feed, change to TVC:US10Y If these are wrong, the macro layer goes blind and signals degrade. Step 4 — Interpret the background (your “regime map”) Gray background: WAIT (do nothing) Light green background: bull permission environment Light red background: bear permission environment Important: Background alone is not a trade. Only B+ / B− is a trade. Step 5 — Execute ONLY on B+ / B− (Grade-A rule) You do not anticipate. You do not guess. You do not trade “almost.” You enter only when the indicator prints: B+ for long B− for short Because those prints already include: macro permission VWAP location SMA momentum alignment candle confirmation and WAIT suppression Trade management (simple + effective) For B+ (Long) Entry: on the B+ bar close or next candle pullback that stays above VWAP Invalidation: close back below VWAP or SMA3 falls under SMA8 Best targets (futures): Target 1: recent swing high / session high Target 2: VWAP band extension / next liquidity level Hard stop: under last swing low (or your fixed points) For B− (Short) Entry: on the B− bar close or next candle retest that stays below VWAP Invalidation: close back above VWAP or SMA3 crosses above SMA8 Best targets: Target 1: recent swing low / session low Target 2: next liquidity shelf / range low Your “Grade-A Checklist” (print this mentally) Before taking ANY trade: Is WAIT OFF? Did we get a B+ or B− print? Is price on the correct side of VWAP? Is SMA3 vs SMA8 aligned? Is the candle color correct (green for B+, red for B−)? If yes → take it. If not → do nothing. Why this works (the edge) This indicator forces you to trade only when: macro conditions allow follow-through price action confirms institutional control (VWAP) momentum confirms continuation (3/8 SMA) and it blocks trades during the mischief regime (WAIT) That combination is exactly what stops: revenge trades chop entries shorting into bear traps longing into liquidity tightening Recommended default settings (Grade-A clean) For /NQ: Chart: 5m Confirm TF: 60m onlyOnFlip: true (less noise) Keep VIX/DXY/ZN defaults For “super clean”: Chart: 15m Confirm TF: 240m
Indikator Pine Script®
oleh SignalArchitecT_AI
Fusion Signals Pro [Apicode]# Fusion Signals Pro **Technical Documentation** ## 1. Overview **Fusion Signals Pro** is a multi-indicator, multi-timeframe confirmation system developed in **Pine Script v6**. Its primary goal is to **identify high-probability long and short entries** by requiring alignment across several momentum, trend, and oscillator indicators. The indicator combines: * Momentum (RPM, MACD) * Oscillators (RSI, Stochastic, CCI, BBO) * Trend-following logic (SuperTrend, EMA + T3 smoothing) * A proprietary Heiken-Ashi–based trend module (**HACOLT**) When all components align, the system generates **entry signals**, visual confirmations, and alerts. --- ## 2. Indicator Characteristics | Property | Value | | ------------------ | ----------------------------- | | Script Version | Pine Script™ v6 | | Overlay | Yes (candles, EMAs, signals) | | Main Panel | Oscillator-style status panel | | Repainting Control | Configurable per indicator | | Market Types | Crypto, Stocks, ETFs | | Timeframes | 15m, 30m, 1H, 2H and higher | --- ## 3. Architecture Summary The indicator consists of **five major modules**: 1. **Multi-Timeframe Data Engine** 2. **Indicator Calculation Engine** 3. **Scoring & State Engine** 4. **Signal & Alert Engine** 5. **Trendline & HACOLT Engine** --- ## 4. Multi-Timeframe Data Engine ### `getSecurityData()` This function safely retrieves higher- or alternate-timeframe data while controlling repainting behavior. **Key features:** * Supports real-time vs historical bar handling * Optional repainting toggle per indicator * Uses `request.security()` internally ```pinescript getSecurityData(src, resolution, allowRepainting) ``` --- ## 5. Indicator Components ### 5.1 RPM (Rate of Price Momentum) **Purpose:** Measures cumulative percentage price change over a defined period. **Logic:** * Calculates bar-to-bar % change * Sums the change over `RPM Period` **Signal Logic:** * `> 0` → Bullish * `< 0` → Bearish --- ### 5.2 BBO (Bull–Bear Oscillator) **Custom oscillator combining:** * Candle price structure * RSI confirmation * Super Smoother filter **Output values:** * `+100` → Bullish impulse * `-100` → Bearish impulse * `0` → Neutral Smoothed using a **Super Smoother Moving Average**. --- ### 5.3 MACD **Configurable elements:** * Fast EMA * Slow EMA * Signal line * Histogram or MACD line selection **Signal Logic:** * Positive value → Bullish * Negative value → Bearish Supports independent timeframe and repainting control. --- ### 5.4 RSI (Relative Strength Index) **Standard RSI logic (14-period default)** **Signal Threshold:** * `> 50` → Bullish * `< 50` → Bearish --- ### 5.5 Stochastic Oscillator **Calculation:** * %K → smoothed by SMA * Uses configurable smoothing parameters **Signal Threshold:** * `> 50` → Bullish * `< 50` → Bearish --- ### 5.6 CCI (Commodity Channel Index) **Signal Logic:** * `> 0` → Bullish * `< 0` → Bearish --- ### 5.7 SuperTrend **Parameters:** * ATR Period * Multiplier Factor **Trend Logic:** * Price above SuperTrend → Bullish * Price below SuperTrend → Bearish --- ## 6. Visual Status Panel (Fusion Matrix) Each indicator is plotted as a **horizontal square block**, color-coded: * **Green** → Bullish * **Red** → Bearish ### Indicator Order (Top to Bottom): 1. RPM 2. MACD 3. RSI 4. Stochastic 5. CCI 6. BBO 7. SuperTrend 8. HACOLT Labels dynamically update on the last bar. --- ## 7. Scoring System Each indicator contributes **1 point** when bullish. | Indicator | Condition | | ---------- | ----------- | | RPM | `> 0` | | MACD | `> 0` | | RSI | `> 50` | | Stochastic | `> 50` | | CCI | `> 0` | | BBO | `> 0` | | SuperTrend | Price above | **Score Range:** `0 → 7` ### Color Mapping * **7** → Strong Green (Full alignment) * **5–6** → Light Green * **4** → Neutral (Gray) * **1–3** → Light Red * **0** → Strong Red This score controls: * Candle color * Bar color * Visual confidence level --- ## 8. Entry Logic ### Long Entry All bullish conditions must be met: ```text RPM > 0 MACD > 0 RSI > 50 Stochastic > 50 CCI > 0 BBO > 0 SuperTrend bullish ``` ### Short Entry All bearish conditions must be met (inverse logic). --- ## 9. Position State Machine The indicator tracks trade direction using an internal state: | State | Meaning | | ----- | ---------- | | `1` | Long bias | | `-1` | Short bias | | `0` | Neutral | **Signals trigger only on state transitions**, reducing false signals and repeated entries. --- ## 10. Alerts ### Available Alerts * Long Entry * Short Entry * Generic Entry (Long or Short) * HACOLT Trend Change Alerts include: * Symbol * Price * Direction --- ## 11. Trendline Engine (EMA + T3) ### Features: * Multi-timeframe EMA calculation * T3 smoothing for noise reduction * Auto / Multiplier / Manual timeframe selection ### Logic: * EMA1 (fast) vs EMA2 (slow) * Filled area changes color on crossover * Acts as a **trend bias filter** --- ## 12. HACOLT Module (Advanced Trend Filter) **HACOLT** is a proprietary trend detection system based on: * Heiken-Ashi logic * TEMA smoothing * Candle structure analysis * State persistence logic ### States: * `1` → Bullish trend * `-1` → Bearish trend ### Uses: * Additional confirmation * Early trend detection * Visual trend persistence --- ## 13. Repainting Control Each major component includes: * Independent timeframe * Independent repainting toggle This allows: * Backtesting accuracy * Real-time responsiveness * Hybrid confirmation setups --- ## 14. Intended Use **Fusion Signals Pro is designed for:** * Trend-following strategies * Confirmation-based entries * Multi-timeframe analysis * Crypto and equity markets ⚠️ It is **not** intended as a standalone trading system without risk management. --- ## 15. Conclusion Fusion Signals Pro is a **high-confluence trading indicator** that merges momentum, oscillators, and trend-following logic into a unified decision framework. Its strength lies in **signal alignment**, **state tracking**, and **visual clarity**, making it suitable for both discretionary and systematic traders.
Indikator Pine Script®
oleh Apicode