Uptrick: Price Memory TrendIntroduction
Uptrick: Price Memory Trend is a custom indicator designed to detect directional shifts and volatility changes using a non-traditional price memory approach. Unlike moving average systems, it builds a dynamic memory of price that adapts gradually over time, allowing it to detect significant deviations and trend transitions with reduced noise.
Overview
This script identifies trend changes by comparing the current price to a memory-based baseline. When price deviates significantly from this memory base, it triggers a trend regime shift—either bullish or bearish. Adaptive deviation bands are calculated using absolute deviation from the memory base, not ATR or standard deviation, which allows the indicator to capture volatility uniquely. Visual components include color-coded candles, labeled signals, optional bands, and a live status table summarizing current trend metrics.
Originality
The indicator’s core innovation lies in its use of a decaying memory function to track trend direction, replacing moving averages with a price memory that responds only to significant deviations. This method avoids lag typically associated with smoothing techniques, enabling timely trend detection. Furthermore, deviation is measured directly in price terms, rather than through volatility surrogates like ATR or Bollinger Bands, resulting in a more raw and responsive depiction of price behavior.
Inputs
Core Engine
Memory Strength: Sets how strongly the memory responds to price changes. Higher values make the memory base more reactive.
Memory Decay: Controls how much past memory is retained. Lower values weight new prices more heavily.
Deviation Length: Length of the EMA used to smooth absolute price deviation. A longer setting results in smoother bands.
Band Multiplier: Expands or contracts the dynamic bands. Higher values widen the bands, reducing sensitivity.
Customization
Color Palette: Selects one of six predefined color schemes for bull and bear visuals.
Show Bands: Enables or disables the display of deviation bands.
Look: Chooses between 'Bands', 'Trail', or 'Intense' styles, affecting how bands and fills are drawn.
Bands
Trail
Intense
Show Info Table: Toggles display of the real-time trend and volatility status panel.
Table Position: Determines which corner of the chart the info panel appears in.
Text Size: Adjusts font size used within the info table.
Features
Trend Detection
Bullish Shift: Triggered when price crosses above the upper band, entering a new bullish regime.
Bearish Shift: Triggered when price crosses below the lower band, entering a new bearish regime.
Trend state is persistent and updated only on confirmed transitions, avoiding repeated entries in the same direction.
Candle Coloring
Candles are dynamically recolored based on current trend direction: bull, bear, or neutral.
Signal Labels
Visual labels marked "Up" or "Down" are placed on the chart when a regime shift occurs, helping to mark turning points.
Deviation Bands
Dynamic upper and lower bands are drawn based on smoothed absolute deviation from the memory base.
Additional outer bands based on ATR may be drawn to highlight zone intensity when the 'Intense' or 'Trail' styles are selected.
Bands visually indicate overextension and help frame price context relative to memory.
Alerts
Built-in alert conditions trigger on bullish or bearish trend shifts, useful for automation or notifications.
Info Table
The optional info table displays:
Current trend direction
Band state (calm, hot, or cool)
Price stretch from base
Trend age in bars
Confidence level based on deviation
Memory slope and acceleration
Band width and compression state
Reversion risk based on stretch level
Info Table:
Trade Example:
Logic
Price Memory
A recursive formula updates a memory variable based on the current price.
The memory adjusts only when the price deviates meaningfully from its previous value.
The formula uses a combination of delta-weighting and exponential decay:
> memory := previous_memory + delta × memory_strength
> memory := memory × memory_decay + price × (1 - memory_decay)
This produces a smooth, adaptive base that responds gradually to directional price moves.
Deviation and Bands
Absolute deviation between price and the memory base is calculated and smoothed using an EMA.
The upper and lower bands are then calculated as:
> Upper Band = memory base + (smoothed deviation × band multiplier)
> Lower Band = memory base - (smoothed deviation × band multiplier)
ATR-based extensions can optionally be drawn around these bands for added visual structure.
Trend Logic
Bullish and bearish states are tracked using crossovers and crossunders of price against the upper and lower bands.
The indicator maintains a persistent trend state variable that updates only when a confirmed regime change occurs.
This prevents multiple signals within the same trend direction (non-pyramiding behavior).
Stretch and Band Analysis
Stretch is measured as the deviation of price from memory, normalized by smoothed deviation.
Band width is tracked over time and used to detect compression or expansion.
Band position is calculated to identify where price sits between the upper and lower bands.
Info Table Metrics
Memory Slope and Acceleration: Show first and second derivative of the memory base to capture trend speed and change.
Confidence Level: Based on stretch intensity, indicating trend strength.
Reversion Risk: Inferred from how extended price is beyond the band.
Compression: Evaluated by comparing current band width to its recent average.
Summary
Uptrick: Price Memory Trend provides an alternative framework for trend identification by replacing traditional smoothing with adaptive memory logic. It measures price deviation without reliance on ATR or standard deviation, instead focusing on distance from a reactive baseline. With regime-based trend tracking, customizable visuals, and a detailed status table, it supports both discretionary and system-driven trading styles.
Disclaimer
This script is for informational and educational purposes only. It does not provide financial advice or guarantees. Trading involves risk, and past performance is not indicative of future results. Always perform your own research before making trading decisions.
Moving_average
Currency VolumeShows the volumes in the currency of the chart including a custom moving average for noise attenuation.
Crandall CrossThe Crandall Cross indicator is an Exponential Moving Average (EMA) and Stop And Reverse (SAR) combination indicator. It uses the EMA200, EMA20, and a unique SAR Projection. Typically, SAR indicators are represented as dots, but this SAR is a line that projects Parabolic Strength based on 3 time-period groupings. The indicator essentially implements a simple EMA cross strategy while using an SAR Projection as confirmation.
How to Use
A Buy Signal will most likely appear when the EMA20 (pink) crosses over the EMA200 (yellow) and the price is above the SAR Projection (blue).
A Sell Signal will most likely appear when the EMA20 (pink) crosses under the EMA200 (yellow) and the price is below the SAR Projection (blue).
The Buy/Sell Signals can appear later because they require SAR confirmation.
Note This indicator neither gives financial advice nor does it guarantee investment success. Invest at your own discretion.
SterlCore FX [JOATSterlCore FX Matrix is a multi-timeframe forex indicator that integrates market structure analysis, central bank policy proxies, currency strength correlation, session-based liquidity tracking, and volatility diagnostics into a single overlay system.
Note: This script is published as an invite-only INDICATOR. It does not generate backtesting results or automated trade execution. Access requires authorization through the script's access control settings.
## Why This Script Merits Invite-Only Protection
This indicator combines multiple analytical dimensions that individually exist as separate tools across the trading community. The value proposition lies in the specific integration methodology and composite scoring system that synthesizes:
Multi-timeframe EMA lattice with adaptive ATR channels for structure analysis
Central bank policy pressure assessment using normalized currency index calculations
Real-time currency strength matrix across eight major currencies with correlation intelligence
Session-specific VWAP calculations with drift metrics and range analysis
Composite macro confluence scoring that weights and combines all analytical modules
The proprietary elements include the mathematical weighting system for the macro confluence score, the specific normalization methods for currency strength calculations, and the integration logic that prevents conflicting signals across modules. While individual components like EMAs and RSI are standard, their specific combination, the composite scoring methodology, and the multi-module integration represent original development work that justifies source code protection.
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## How Components Work Together
The indicator's value comes from how its modules interact, not from any single component:
Data Flow:
1. Multi-timeframe EMAs establish directional bias across strategic, tactical, and execution timeframes
2. Currency strength matrix identifies which currencies are strengthening/weakening across the broader market
3. Policy proxies assess central bank pressure differentials between base and quote currencies
4. Session VWAPs track intraday institutional positioning and drift
5. Correlation grid monitors whether related pairs confirm or contradict the current pair's signals
6. Momentum and volatility filters ensure signals only fire during favorable market conditions
Integration Logic:
Each module produces a normalized score (-1 to +1). These scores are weighted and combined into the macroConfluence composite:
Structure score receives highest weight (50%) as the primary trend filter
Carry composite (30%) captures policy-driven flows
Currency strength spread (20%) validates pair-specific momentum
Momentum, liquidity, session drift, and correlation act as modifiers that can dampen or amplify signals
Why This Integration Matters:
A standard EMA crossover might signal "buy" while currency strength shows the base currency weakening, session VWAP shows price below fair value, and correlation pairs are diverging. The composite scoring system catches these conflicts and reduces signal confidence accordingly. This multi-dimensional validation is what separates this indicator from simple mashups that display multiple indicators without integration.
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## Core Functionality
This indicator addresses the challenge of synthesizing multiple analytical dimensions in forex trading. Currency markets operate across multiple timeframes simultaneously, with central bank policy shifts, cross-pair correlations, and session-specific liquidity patterns all influencing price action. Most indicators focus on a single dimension; this script attempts to integrate several.
What This Script Does:
Multi-timeframe structure analysis using synchronized EMAs across strategic (daily), tactical (4-hour), and execution (hourly) timeframes
Central bank policy pressure assessment through normalized currency index proxies
Real-time currency strength matrix tracking eight major currencies (USD, EUR, GBP, JPY, AUD, CAD, CHF, NZD)
Cross-pair correlation monitoring using configurable reference pairs
Session-based VWAP calculations with drift and range metrics for Asia, Europe, and US trading windows
Market structure detection including break-of-structure (BOS) confirmation, liquidity sweep identification, and RSI-based divergence alerts
Composite macro confluence score combining all modules with configurable weights
---
## Technical Architecture
### Multi-Timeframe Structure Lattice
The indicator calculates exponential moving averages (EMAs) across three timeframes:
Strategic EMA (default: Daily timeframe, 96-period EMA) — Anchors to longer-term monetary drift and macro flows
Tactical EMA (default: 4-hour timeframe, 55-period EMA) — Captures rotational pressure during positioning for economic data or policy events
Execution EMA (default: 1-hour timeframe, 21-period EMA) — Tracks microstructure in real time
An adaptive ATR-based channel surrounds the execution EMA to define a "value corridor" for entry consideration. Break-of-structure (BOS) logic requires price to close beyond prior swing highs/lows by a configurable ATR percentage threshold to reduce false breakouts.
### Policy Gradient & Carry Intelligence
The script uses currency index proxies (defaults: FX_IDC:EURUSD and FX_IDC:USDJPY ) to approximate central bank policy pressure. These proxies are smoothed via EMA and normalized over a lookback period.
The carryComposite calculation blends:
Normalized policy spread between base and quote currency proxies
Policy drift (difference between tactical and macro timeframe policy spreads)
Carry acceleration (rate of change in policy spread)
Carry opportunity signals appear when the composite exceeds a threshold and aligns with structure bias and currency strength dispersion.
### Currency Strength Matrix
Eight currency baskets are tracked using configurable symbol inputs (defaults use $FX_IDC pairs). Each currency's strength is normalized to a -1 to +1 scale relative to its lookback range. The heatmap table displays which currencies are dominating, allowing quick assessment of broad market moves before they appear in individual pair price action.
### Correlation Intelligence Grid
Three reference pairs (defaults: FX_IDC:EURUSD , FX_IDC:GBPUSD , FX_IDC:USDJPY ) are monitored on a higher timeframe. The script calculates correlation coefficients and assigns qualitative descriptors: "Lockstep +", "Aligned +", "Loose", "Aligned -", or "Lockstep -". A correlation consensus value feeds into the macro confluence calculation, dampening signals when reference pairs show conflicting behavior.
### Momentum, Volatility & Liquidity Stack
Dual ROC momentum — Fast and slow rate-of-change calculations prevent whipsaw from single-length oscillators
Volatility pulse — Compares current ATR to a slower baseline; signals require volatility above a floor threshold
Volatility forecast slope — Uses linear regression to project ATR 21 bars ahead, warning of imminent expansion or contraction
Liquidity pulse — Compares current volume to smoothed average; low participation is visually indicated via background tinting
### Session Awareness & Performance Console
Asia, Europe, and US trading sessions are tracked with configurable UTC windows. Each session maintains:
Live VWAP that resets at session open
Drift score quantifying price deviation from VWAP in ATR terms
Range percentage showing session expansion relative to VWAP
Session bias composite feeds into macro confluence to reduce signal aggression when all sessions are mean-reverting.
### Liquidity & Market Structure Suite
Liquidity sweeps — Detects stop hunts above prior highs or below prior lows within a configurable lookback
RSI divergence — Identifies momentum divergences using confirmed pivot points only
Supply/demand zones — Automatically generated from pivot highs/lows and projected forward for a set number of bars
### Macro Alignment Engine
The macroConfluence score combines:
Structure score (weighted average of strategic/tactical/execution EMAs)
Carry composite
Currency strength spread (base minus quote)
Momentum score
Liquidity modifier
Session bias composite
Correlation consensus
Long/short alignment signals require:
Macro confluence exceeding configurable threshold (default: 0.55)
Volatility pulse above floor threshold
Optional: Price above/below tactical EMA (execution filter toggle)
---
## Visual Elements
Candle Coloring: Candles are recolored based on macro confluence: teal for bullish alignment, magenta for bearish alignment, neutral gray for distribution phases.
Background Tint: Volatility intensity modulates chart background; bold colors indicate elevated ATR, washed-out tones suggest choppy conditions.
Labels:
Macro Align Long/Short — Primary entry signals when confluence exceeds threshold
BOS↑/↓ — Break-of-structure confirmation
Sweep↑/↓ — Liquidity sweep detection
RSI Bull/Bear Div — Momentum divergence alerts
Carry Bias± — Policy-strength alignment flags
Session Overlays: Transparent background shading indicates active trading sessions (Asia, Europe, US) with configurable opacity.
Session VWAPs: Each region's VWAP is plotted in a distinct color (teal for Asia, blue for Europe, purple for US).
---
## Dashboard Tables
The indicator includes several configurable information tables:
Intelligence Dashboard (top-right, default) — Displays strategic/tactical/execution bias, policy pressure, currency spread, volatility pulse, policy impulse, session drift, correlation, and macro state
Currency Heatmap (bottom-right, default) — Shows normalized strength values for all tracked currencies
Correlation Grid (bottom-left, default) — Lists reference pairs with correlation coefficients and qualitative states
Session Performance Panel (bottom-center, default) — Displays drift scores and range percentages for each session
Diagnostics Table (top-left, optional) — Additional session range metrics and liquidity pulse values
All table positions are configurable via input settings to avoid overlap with TradingView UI elements.
---
## Configuration Parameters
Multi-Timeframe Structure: All EMA timeframes and lengths are adjustable. Default strategic timeframe is Daily; tactical is 4-hour; execution is 1-hour.
Policy Proxies: Base and quote currency policy proxy symbols are user-configurable. Defaults use $FX_IDC pairs for broad compatibility.
Currency Strength: Each currency's tracking can be toggled on/off. Symbol inputs allow substitution of alternative data sources if default indices are unavailable.
Correlation References: Three reference pair symbols, timeframe, and lookback period are all configurable.
Signal Thresholds: Macro alignment trigger, volatility pulse floor, and carry opportunity threshold are adjustable to match different trading styles.
Visual Controls: Label visibility, zone display, session overlays, VWAP plotting, and all dashboard tables can be toggled independently.
---
## Technical Implementation Notes
Pine Script v6 compliant
All request.security calls use lookahead_off to prevent historical repainting
BOS, divergence, and sweep detection rely on confirmed pivot points only
Session VWAP calculations reset strictly on session boundaries
Zone objects are automatically capped and managed to respect TradingView resource limits
All calculations include division-by-zero guards and NA handling for real-time stability
---
## Usage Considerations
Timeframe Selection: The indicator is designed for forex pairs. Default timeframes (D/4H/1H) are optimized for swing and intraday trading. Scalpers may prefer shorter execution timeframes; position traders may extend strategic to weekly.
Pair Compatibility: Tested on major pairs ( FX:EURUSD , FX:GBPUSD , FX:USDJPY , OANDA:USDCHF , OANDA:AUDUSD , OANDA:USDCAD , OANDA:NZDUSD ), cross-pairs, and FX-derived CFDs. Policy proxy symbols should be adjusted to match your data feed availability.
Session Windows: Default UTC windows (Asia: 22:00-06:00, Europe: 06:00-13:00, US: 13:00-21:00) can be customized. Adjust for daylight saving time transitions as needed.
Signal Interpretation: Macro alignment signals indicate confluence across multiple dimensions but do not guarantee profitable outcomes. Use in conjunction with risk management and market context. The indicator is a tool for analysis, not a standalone trading system.
Resource Usage: With all features enabled, the script operates within TradingView's resource budgets. Disable unused modules (currency tracking, correlation grid, diagnostics) if running multiple instances on a single layout.
---
## Limitations & Compromises
Policy proxies are approximations using currency indices; actual central bank policy requires external economic analysis
Correlation calculations use price-based correlation, which may lag during regime shifts
Session VWAPs reset at session boundaries; overlapping sessions (e.g., London/NY) may show conflicting signals
Supply/demand zones are generated from pivots; false zones may appear during ranging markets
Macro confluence is a composite score; individual components may conflict, requiring discretionary interpretation
The indicator is optimized for trending and rotational markets. Performance may degrade during extended consolidation or during major economic event volatility when multiple central banks act simultaneously.
---
## Alert System
The script includes four alert conditions:
SterlCore FX Bullish Alignment — Fires when macro confluence exceeds threshold with volatility and EMA filters satisfied
SterlCore FX Bearish Alignment — Mirror of bullish logic
SterlCore FX Carry Long — Fires when carry composite, currency spread, and structure align for long bias
SterlCore FX Carry Short — Mirror of carry long logic
All alerts fire once per bar at bar close.
-Made with passion by officialjackofalltrades
CryptoFlux Dynamo [JOAT]CryptoFlux Dynamo: Velocity Scalping Strategy
WHAT THIS STRATEGY IS
CryptoFlux Dynamo is an open-source Pine Script v6 strategy designed for momentum-based scalping on cryptocurrency perpetual futures. It combines multiple technical analysis methods into a unified system that adapts its behavior based on current market volatility conditions.
This script is published open-source so you can read, understand, and modify the complete logic. The description below explains everything the strategy does so that traders who cannot read Pine Script can fully understand how it works before using it.
HOW THIS STRATEGY IS ORIGINAL AND WHY THE INDICATORS ARE COMBINED
This strategy uses well-known indicators (MACD, EMA, RSI, MFI, Bollinger Bands, Keltner Channels, ATR). The originality is not in the individual indicators themselves, but in the specific way they are integrated into a regime-adaptive system. Here is the detailed justification for why these components are combined and how they work together:
The Problem Being Solved:
Standard indicator-based strategies use fixed thresholds. For example, a typical MACD strategy might enter when the histogram crosses above zero. However, in cryptocurrency markets, volatility changes dramatically throughout the day and week. A MACD crossover during a low-volatility consolidation period has very different implications than the same crossover during a high-volatility trending period. Using the same entry thresholds and stop distances in both conditions leads to either:
Too many false signals during consolidation (if thresholds are loose)
Missing valid opportunities during expansion (if thresholds are tight)
Stops that are too tight during volatility spikes (causing premature exits)
Stops that are too wide during compression (giving back profits)
The Solution Approach:
This strategy first classifies the current volatility regime using normalized ATR (ATR as a percentage of price), then dynamically adjusts ALL other parameters based on that classification. This creates a context-aware system rather than a static threshold comparison.
How Each Component Contributes to the System:
ATR-Based Regime Classification (The Foundation)
The strategy calculates ATR over 21 periods, smooths it with a 13-period EMA to reduce noise from wicks, then divides by price to get a normalized percentage. This ATR% is classified into three regimes:
- Compression (ATR% < 0.8%): Market is consolidating, breakouts are more likely but false signals are common
- Expansion (ATR% 0.8% - 1.6%): Normal trending conditions
- Velocity (ATR% > 1.6%): High volatility, larger moves but also larger adverse excursions
This regime classification then controls stop distances, profit targets, trailing stop offsets, and signal strength requirements. The regime acts as a "meta-parameter" that tunes the entire system.
EMA Ribbon (8/21/34) - Trend Structure Detection
The three EMAs establish trend direction and structure. When EMA 8 > EMA 21 > EMA 34, the trend structure is bullish. The slope of the middle EMA (21) is calculated over 8 bars and converted to degrees using arctangent. This slope measurement quantifies trend strength, not just direction.
Why these specific periods? The 8/21/34 sequence follows Fibonacci-like spacing and provides good separation on 5-minute cryptocurrency charts. The fast EMA (8) responds to immediate price action, the mid EMA (21) represents the short-term trend, and the slow EMA (34) acts as a trend filter.
The EMA ribbon works with the regime classification: during compression regimes, the strategy requires stronger ribbon alignment before entry because false breakouts are more common.
MACD (8/21/5) - Momentum Measurement
The MACD uses faster parameters (8/21/5) than the standard (12/26/9) because cryptocurrency markets move faster than traditional markets. The histogram is smoothed with a 5-period EMA to reduce noise.
The key innovation is the adaptive histogram baseline. Instead of using a fixed threshold, the strategy calculates a rolling baseline from the smoothed absolute histogram value, then multiplies by a sensitivity factor (1.15). This means the threshold for "significant momentum" automatically adjusts based on recent momentum levels.
The MACD works with the regime classification: during velocity regimes, the histogram baseline is effectively higher because recent momentum has been stronger, preventing entries on relatively weak momentum.
RSI (21 period) and MFI (21 period) - Independent Momentum Confirmation
RSI measures momentum using price changes only. MFI (Money Flow Index) measures momentum using price AND volume. By requiring both to confirm, the strategy filters out price moves that lack volume support.
The 21-period length is longer than typical (14) to reduce noise on 5-minute charts. The trigger threshold (55 for longs, 45 for shorts) is slightly offset from 50 to require momentum in the trade direction, not just neutral readings.
These indicators work together: a signal requires RSI > 55 AND MFI > 55 for longs. This dual confirmation reduces false signals from price manipulation or low-volume moves.
Bollinger Bands (1.5 mult) and Keltner Channels (1.8 mult) - Squeeze Detection
When Bollinger Bands contract inside Keltner Channels, volatility is compressing and a breakout is likely. This is the "squeeze" condition. When the bands expand back outside the channels, the squeeze "releases."
The strategy uses a 1.5 multiplier for Bollinger Bands (tighter than standard 2.0) and 1.8 for Keltner Channels. These values were chosen to identify meaningful squeezes on 5-minute cryptocurrency charts without triggering too frequently.
The squeeze detection works with the regime classification: squeeze releases during compression regimes receive additional signal strength points because breakouts from consolidation are more significant.
Volume Impulse Detection - Institutional Participation Filter
The strategy calculates a volume baseline (34-period SMA) and standard deviation. A "volume impulse" is detected when current volume exceeds the baseline by 1.15x OR when the volume z-score exceeds 0.5.
This filter ensures entries occur when there is meaningful market participation, not during low-volume periods where price moves are less reliable.
Volume impulse is required for all entries and adds points to the composite signal strength score.
Cycle Oscillator - Trend Alignment Filter
The strategy calculates a 55-period EMA as a cycle basis, then measures price deviation from this basis as a percentage. When price is more than 0.15% above the cycle basis, the cycle is bullish. When more than 0.15% below, the cycle is bearish.
This filter prevents counter-trend entries. Long signals require bullish cycle alignment; short signals require bearish cycle alignment.
BTC Dominance Filter (Optional) - Market Regime Filter
The strategy can optionally use BTC.D (Bitcoin Dominance) as a market regime filter. When BTC dominance is rising (slope > 0.12), the market is in "risk-off" mode and long entries on altcoins are filtered. When dominance is falling (slope < -0.12), short entries are filtered.
This filter is optional because the BTC.D data feed may lag during low-liquidity periods.
How The Components Work Together (The Mashup Justification):
The strategy uses a composite scoring system where each signal pathway contributes points:
Trend Break pathway (30 points): Requires EMA ribbon alignment + positive slope + price breaks above recent structure high
Momentum Surge pathway (30 points): Requires MACD histogram > adaptive baseline + MACD line > signal + RSI > 55 + MFI > 55 + volume impulse
Squeeze Release pathway (25 points): Requires BB inside KC (squeeze) then release + momentum bias + histogram confirmation
Micro Pullback pathway (15 points): Requires shallow retracement to fast EMA within established trend + histogram confirmation + volume impulse
Additional modifiers:
+5 points if volume impulse is present, -5 if absent
+5 points in velocity regime, -2 in compression regime
+5 points if cycle is aligned, -5 if counter-trend
A trade only executes when the composite score reaches the minimum threshold (default 55) AND all filters agree (session, cycle bias, BTC dominance if enabled).
This scoring system is the core innovation: instead of requiring ALL conditions to be true (which would generate very few signals) or ANY condition to be true (which would generate too many false signals), the strategy requires ENOUGH conditions to be true, with different conditions contributing different weights based on their reliability.
HOW THE STRATEGY CALCULATES ENTRIES AND EXITS
Entry Logic:
1. Calculate current volatility regime from ATR%
2. Calculate all indicator values (MACD, EMA, RSI, MFI, squeeze, volume)
3. Evaluate each signal pathway and sum points
4. Check all filters (session, cycle, dominance, kill switch)
5. If composite score >= 55 AND all filters pass, generate entry signal
6. Calculate position size based on risk per trade and regime-adjusted stop distance
7. Execute entry with regime name as comment
Position Sizing Formula:
RiskCapital = Equity * (0.65 / 100)
StopDistance = ATR * StopMultiplier(regime)
RawQuantity = RiskCapital / StopDistance
MaxQuantity = Equity * (12 / 100) / Price
Quantity = min(RawQuantity, MaxQuantity)
Quantity = round(Quantity / 0.001) * 0.001
This ensures each trade risks approximately 0.65% of equity regardless of volatility, while capping total exposure at 12% of equity.
Stop Loss Calculation:
Stop distance is ATR multiplied by a regime-specific multiplier:
Compression regime: 1.05x ATR (tighter stops because moves are smaller)
Expansion regime: 1.55x ATR (standard stops)
Velocity regime: 2.1x ATR (wider stops to avoid premature exits during volatility)
Take Profit Calculation:
Target distance is ATR multiplied by regime-specific multiplier and base risk/reward:
Compression regime: 1.6x ATR * 1.8 base R:R * 0.9 regime bonus = approximately 2.6x ATR
Expansion regime: 2.05x ATR * 1.8 base R:R * 1.0 regime bonus = approximately 3.7x ATR
Velocity regime: 2.8x ATR * 1.8 base R:R * 1.15 regime bonus = approximately 5.8x ATR
Trailing Stop Logic:
When adaptive trailing is enabled, the strategy calculates a trailing offset based on ATR and regime:
Compression regime: 1.1x base offset (looser trailing to avoid noise)
Expansion regime: 1.0x base offset (standard)
Velocity regime: 0.8x base offset (tighter trailing to lock in profits during fast moves)
The trailing stop only activates when it would be tighter than the initial stop.
Momentum Fail-Safe Exits:
The strategy closes positions early if momentum reverses:
Long positions close if MACD histogram turns negative OR EMA ribbon structure breaks (fast EMA crosses below mid EMA)
Short positions close if MACD histogram turns positive OR EMA ribbon structure breaks
This prevents holding through momentum reversals even if stop loss hasn't been hit.
Kill Switch:
If maximum drawdown exceeds 6.5%, the strategy disables new entries until manually reset. This prevents continued trading during adverse conditions.
HOW TO USE THIS STRATEGY
Step 1: Apply to Chart
Use a 5-minute chart of a high-liquidity cryptocurrency perpetual (BTC/USDT, ETH/USDT recommended)
Ensure at least 200 bars of history are loaded for indicator stabilization
Use standard candlestick charts only (not Heikin Ashi, Renko, or other non-standard types)
Step 2: Understand the Visual Elements
EMA Ribbon: Three lines (8/21/34 periods) showing trend structure. Bullish when stacked upward, bearish when stacked downward.
Background Color: Shows current volatility regime
- Indigo/dark blue = Compression (low volatility)
- Purple = Expansion (normal volatility)
- Magenta/pink = Velocity (high volatility)
Bar Colors: Reflect signal strength divergence. Brighter colors indicate stronger directional bias.
Triangle Markers: Entry signals. Up triangles below bars = long entry. Down triangles above bars = short entry.
Dashboard (top-right): Real-time display of regime, ATR%, signal strengths, position status, stops, targets, and risk metrics.
Step 3: Interpret the Dashboard
Regime: Current volatility classification (Compression/Expansion/Velocity)
ATR%: Normalized volatility as percentage of price
Long/Short Strength: Current composite signal scores (0-100)
Cycle Osc: Price deviation from 55-period EMA as percentage
Dominance: BTC.D slope and filter status
Position: Current position direction or "Flat"
Stop/Target: Current stop loss and take profit levels
Kill Switch: Status of drawdown protection
Volume Z: Current volume z-score
Impulse: Whether volume impulse condition is met
Step 4: Adjust Parameters for Your Needs
For more conservative trading: Increase "Minimum Composite Signal Strength" to 65 or higher
For more aggressive trading: Decrease to 50 (but expect more false signals)
For higher timeframes (15m+): Increase "Structure Break Window" to 12-15, increase "RSI Momentum Trigger" to 58
For lower liquidity pairs: Increase "Volume Impulse Multiplier" to 1.3, increase slippage in strategy properties
To disable short selling: Uncheck "Enable Short Structure"
To disable BTC dominance filter: Uncheck "BTC Dominance Confirmation"
STRATEGY PROPERTIES (BACKTEST SETTINGS)
These are the exact settings used in the strategy's Properties dialog box. You must use these same settings when evaluating the backtest results shown in the publication:
Initial Capital: $100,000
Justification: This amount is higher than typical retail accounts. I chose this value to demonstrate percentage-based returns that scale proportionally. The strategy uses percentage-based position sizing (0.65% risk per trade), so a $10,000 account would see the same percentage returns with 10x smaller position sizes. The absolute dollar amounts in the backtest should be interpreted as percentages of capital.
Commission: 0.04% (commission_value = 0.04)
Justification: This reflects typical perpetual futures exchange fees. Major exchanges charge between 0.02% (maker) and 0.075% (taker). The 0.04% value is a reasonable middle estimate. If your exchange charges different fees, adjust this value accordingly. Higher fees will reduce net profitability.
Slippage: 1 tick
Justification: This is conservative for liquid pairs like BTC/USDT on major exchanges during normal conditions. For less liquid altcoins or during high volatility, actual slippage may be higher. If you trade less liquid pairs, increase this value to 2-3 ticks for more realistic results.
Pyramiding: 1
Justification: No position stacking. The strategy holds only one position at a time. This simplifies risk management and prevents overexposure.
calc_on_every_tick: true
Justification: The strategy evaluates on every price update, not just bar close. This is necessary for scalping timeframes where waiting for bar close would miss opportunities. Note that this setting means backtest results may differ slightly from bar-close-only evaluation.
calc_on_order_fills: true
Justification: The strategy recalculates immediately after order fills for faster response to position changes.
RISK PER TRADE JUSTIFICATION
The default risk per trade is 0.65% of equity. This is well within the TradingView guideline that "risking more than 5-10% on a trade is not typically considered viable."
With the 12% maximum exposure cap, even if the strategy takes multiple consecutive losses, the total risk remains manageable. The kill switch at 6.5% drawdown provides additional protection by halting new entries during adverse conditions.
The position sizing formula ensures that stop distance (which varies by regime) is accounted for, so actual risk per trade remains approximately 0.65% regardless of volatility conditions.
SAMPLE SIZE CONSIDERATIONS
For statistically meaningful backtest results, you should select a dataset that generates at least 100 trades. On 5-minute BTC/USDT charts, this typically requires:
2-3 months of data during normal market conditions
1-2 months during high-volatility periods
3-4 months during low-volatility consolidation periods
The strategy's selectivity (requiring 55+ composite score plus all filters) means it generates fewer signals than less filtered approaches. If your backtest shows fewer than 100 trades, extend the date range or reduce the minimum signal strength threshold.
Fewer than 100 trades produces statistically unreliable results. Win rate, profit factor, and other metrics can vary significantly with small sample sizes.
STRATEGY DESIGN COMPROMISES AND LIMITATIONS
Every strategy involves trade-offs. Here are the compromises made in this design and the limitations you should understand:
Selectivity vs. Opportunity Trade-off
The 55-point minimum threshold filters many potential trades. This reduces false signals but also misses valid setups that don't meet all criteria. Lowering the threshold increases trade frequency but decreases win rate. There is no "correct" threshold; it depends on your preference for fewer higher-quality signals vs. more signals with lower individual quality.
Regime Classification Lag
The ATR-based regime detection uses historical data (21 periods + 13-period smoothing). It cannot predict sudden volatility spikes. During flash crashes or black swan events, the strategy may be classified in the wrong regime for several bars before the classification updates. This is an inherent limitation of any lagging indicator.
Indicator Parameter Sensitivity
The default parameters (MACD 8/21/5, EMA 8/21/34, RSI 21, etc.) are tuned for BTC/ETH perpetuals on 5-minute charts during 2024 market conditions. Different assets, timeframes, or market regimes may require different parameters. There is no guarantee that parameters optimized on historical data will perform similarly in the future.
BTC Dominance Filter Limitations
The CRYPTOCAP:BTC.D data feed may lag during low-liquidity periods or weekends. The dominance slope calculation uses a 5-bar SMA, adding additional delay. If you notice the filter behaving unexpectedly, consider disabling it.
Backtest vs. Live Execution Differences
TradingView backtesting does not replicate actual broker execution. Key differences:
Backtests assume perfect fills at calculated prices; real execution involves order book depth, latency, and partial fills
The calc_on_every_tick setting improves backtest realism but still cannot capture sub-bar price action or order book dynamics
Commission and slippage settings are estimates; actual costs vary by exchange, time of day, and market conditions
Funding rates on perpetual futures are not modeled in backtests and can significantly impact profitability over time
Exchange-specific limitations (position limits, liquidation mechanics, order types) are not modeled
Market Condition Dependencies
This strategy is designed for trending and breakout conditions. During extended sideways consolidation with no clear direction, the strategy may generate few signals or experience whipsaws. No strategy performs well in all market conditions.
Cryptocurrency-Specific Risks
Cryptocurrency markets operate 24/7 without session boundaries. This means:
No natural "overnight" risk reduction
Volatility can spike at any time
Liquidity varies significantly by time of day
Exchange outages or issues can occur at any time
WHAT THIS STRATEGY DOES NOT DO
To be straightforward about limitations:
This strategy does not guarantee profits. Past backtest performance does not indicate future results.
This strategy does not predict the future. It reacts to current conditions based on historical patterns.
This strategy does not account for funding rates, which can significantly impact perpetual futures profitability.
This strategy does not model exchange-specific execution issues (partial fills, requotes, outages).
This strategy does not adapt to fundamental news events or black swan scenarios.
This strategy is not optimized for all market conditions. It may underperform during extended consolidation.
IMPORTANT RISK WARNINGS
Past performance does not guarantee future results. The backtest results shown reflect specific historical market conditions and parameter settings. Markets change constantly, and strategies that performed well historically may underperform or lose money in the future. A single backtest run does not constitute proof of future profitability.
Trading involves substantial risk of loss. Cryptocurrency derivatives are highly volatile instruments. You can lose your entire investment. Only trade with capital you can afford to lose completely.
This is not financial advice. This strategy is provided for educational and informational purposes only. It does not constitute investment advice, trading recommendations, or any form of financial guidance. The author is not a licensed financial advisor.
You are responsible for your own decisions. Before using this strategy with real capital:
Thoroughly understand the code and logic by reading the open-source implementation
Forward test with paper trading or very small positions for an extended period
Verify that commission, slippage, and execution assumptions match your actual trading environment
Understand that live results will differ from backtest results
Consider consulting with a qualified financial advisor
No guarantees or warranties. This strategy is provided "as is" without any guarantees of profitability, accuracy, or suitability for any purpose. The author is not responsible for any losses incurred from using this strategy.
OPEN-SOURCE CODE STRUCTURE
The strategy code is organized into these sections for readability:
Configuration Architecture: Input parameters organized into logical groups (Core Controls, Optimization Constants, Regime Intelligence, Signal Pathways, Risk Architecture, Visualization)
Helper Functions: calcQty() for position sizing, clamp01() and normalize() for value normalization, calcMFI() for Money Flow Index calculation
Core Indicator Engine: EMA ribbon, ATR and regime classification, MACD with adaptive baseline, RSI, MFI, volume analytics, cycle oscillator, BTC dominance filter, squeeze detection
Signal Pathway Logic: Trend break, momentum surge, squeeze release, micro pullback pathways with composite scoring
Entry/Exit Orchestration: Signal filtering, position sizing, entry execution, stop/target calculation, trailing stop logic, momentum fail-safe exits
Visualization Layer: EMA plots, regime background, bar coloring, signal labels, dashboard table
You can read and modify any part of the code. Understanding the logic before deployment is strongly recommended.
- Made with passion by officialjackofalltrades
ThaiRiches Predictor [Free Version]ThaiRiches Predictor is a comprehensive trend-following system designed to help traders identify high-probability entries while managing risk effectively. This script combines Zero-Lag technology (ZLEMA) with volatility filters and an intelligent AI Dashboard to analyze market conditions in real-time.
Key Features:
Zero-Lag Trend Engine: Uses a custom Zero-Lag EMA (ZLEMA) logic combined with volatility bands to detect trend changes earlier than traditional Moving Averages.
AI Analysis Dashboard: A real-time monitor panel that evaluates Trend, Momentum (RSI), and Volatility to provide actionable advice (e.g., "Strong Uptrend", "Overbought - Wait for Pullback", or "Low Volatility - Caution").
Auto TP & SL System: Automatically calculates and displays Stop Loss (SL), Take Profit 1 (TP1), and Take Profit 2 (TP2) based on ATR, adapting to the current market volatility.
Improved Safety: SL is calculated from the High/Low of the signal candle to prevent premature stop-outs.
Visual Alerts: Clear BUY/SELL labels with price targets and color-coded candlesticks for easy visual confirmation.
How to Use:
BUY Signal: Look for the Green Label and Green Trend Line. Confirm with the Dashboard (Status: BULLISH).
SELL Signal: Look for the Red Label and Red Trend Line. Confirm with the Dashboard (Status: BEARISH).
Risk Management: Use the provided SL levels. It is recommended to take partial profit at TP1 and trail your stop to entry.
Caution: Avoid trading when the Dashboard shows "Low Volatility" or "Choppy" warnings.
Settings:
You can adjust the Trend Sensitivity and RSI Period.
TP/SL Multipliers are fully customizable to fit different assets (Gold, Forex, Crypto).
Multi-Fractal Trading Plan [Gemini] v22Multi-Fractal Trading Plan
The Multi-Fractal Trading Plan is a quantitative market structure engine designed to filter noise and generate actionable daily strategies. Unlike standard auto-trendline indicators that clutter charts with irrelevant data, this system utilizes Fractal Geometry to categorize market liquidity into three institutional layers: Minor (Intraday), Medium (Swing), and Major (Institutional).
This tool functions as a Strategic Advisor, not just a drawing tool. It calculates the delta between price and structural pivots in real-time, alerting you when price enters high-probability "Hot Zones" and generating a live trading plan on your dashboard.
Core Features
1. Three-Tier Fractal Engine The algorithm tracks 15 distinct fractal lengths simultaneously, aggregating them into a clean hierarchy:
Minor Structure (Thin Lines): Captures high-frequency volatility for scalping.
Medium Structure (Medium Lines): Identifies significant swing points and intermediate targets.
Major Structure (Thick Lines): Maps the "Institutional" defense lines where trend reversals and major breakouts occur.
2. The Strategic Dashboard A dynamic data panel in the bottom-right eliminates analysis paralysis:
Floor & Ceiling Targets: Displays the precise price levels of the nearest Support and Resistance.
AI Logic Output: The script analyzes market conditions to generate a specific command, such as "WATCH FOR BREAKOUT", "Near Lows (Look Long?)", or "WAIT (No Setup)".
3. "Hot Zone" Detection Never miss a critical test of structure.
Dynamic Alerting: When price trades within 1% (adjustable) of a Major Trend Line, the indicator’s labels turn Bright Yellow and flash a warning (e.g., "⚠️ WATCH: MAJOR RES").
Focus: This visual cue highlights the exact moment execution is required, reducing screen fatigue.
4. The Quant Web & Markers
Pivot Validation: Deep blue fractal markers (▲/▼) identify the exact candles responsible for the structure.
Inter-Timeframe Web: Faint dotted lines connect Minor pivots directly to Major pivots, visualizing the "hidden" elasticity between short-term noise and long-term trend anchors.
5. Enterprise Stability Engine Engineered to solve the "Vertical Line" and "1970 Epoch" glitches common in Pine Script trend indicators. This engine is optimized for Futures (NQ/ES), Forex, and Crypto, ensuring stability across all timeframes (including gaps on ETH/RTH charts).
Operational Guide
Consult the Dashboard: Before executing, check the "Strategy" output. If it says "WAIT", the market is in chop. If it says "WATCH FOR BOUNCE", prepare your entry criteria.
Monitor Hot Zones: A Yellow Label indicates price is testing a major liquidity level. This is your signal to watch for a rejection wick or a high-volume breakout.
Utilize the Web: Use the faint web lines to find "confluence" where a short-term pullback aligns with a long-term trend line.
Configuration
Show History: Toggles "Ghost Lines" (Blue) to display historical structure and broken trends.
Fractal Points: Toggles the geometric pivot markers.
Hot Zone %: Adjusts the sensitivity of the Yellow Warning system (Default: 1%).
Max Line Length: A noise filter that removes stale or "spiderweb" lines that are no longer statistically relevant.
Quant VWAP System 3.8 This is the lower-indicator companion to the "Quant VWAP System." While the main chart tells you where the price is, this oscillator tells you how statistically significant the move is.
It uses a Z-Score algorithm to normalize price action. This means it ignores dollar amounts and instead measures how many Standard Deviations (SD) the price is away from its mean (VWAP). This allows you to instantly spot "Overbought" or "Oversold" conditions on any asset (Bitcoin, Forex, or Stocks) without needing to guess.
Key Features:
1. Normalized Extremes (The "Kill Zones")
±2.0 SD: These dotted lines represent statistical extremes. When the signal line crosses above +2.0, the asset is mathematically expensive (Overbought). When it crosses below -2.0, it is mathematically cheap (Oversold).
The Logic: Price rarely sustains movement beyond 2 Standard Deviations without a reversion or a pause.
2. The Squeeze Radar (Yellow Dots)
Volatility Detection: A row of Yellow Dots appearing on the center line indicates a "Squeeze."
What it means: The Standard Deviation bands are compressing. Energy is building.
Warning: DO NOT trade Mean Reversion when you see Yellow Dots. A squeeze often leads to a violent breakout. Wait for the dots to disappear to confirm the direction of the explosion.
3. Momentum Coloring
Green Line: Z-Score is rising (Bullish Momentum).
Red Line: Z-Score is falling (Bearish Momentum).
This helps you spot divergences (e.g., Price makes a Higher High, but the Oscillator makes a Lower High = Exhaustion).
How to Trade with It
Strategy A: The "Zero Bounce" (Trend Continuation)
Scenario: You are in a Bull Trend.
Signal: The Oscillator line pulls back to the Zero Line (White), turns Green, and curls upward.
Meaning: Price has tested the average (VWAP) and buyers have stepped in. This is a high-probability entry for trend continuation.
Strategy B: The "Extreme Fade" (Reversion)
Scenario: The Oscillator pushes deep into the Red Zone (+2.0 SD).
Signal: The line turns Red and crosses back down below the +2.0 dotted line. A small Red Triangle will appear.
Meaning: The statistical extension has failed, and price is likely snapping back to the mean.
Strategy C: Squeeze Breakout
Scenario: Yellow Dots appear on the center line.
Action: Stop trading. Wait.
Signal: The dots disappear, and the line shoots aggressively through +1.0 SD (Long) or -1.0 SD (Short). Ride the momentum.
cd_VW_Cx IMPROVED - Quant VWAP System: Regime, Magnets & Z-ScoQuant VWAP System: Regime, Magnets & Z-Score Matrix
This indicator is a comprehensive Quantitative Trading System designed to move beyond simple support and resistance. Instead of static lines, it uses Statistical Probability (Z-Score) and Standard Deviation to define the current market regime, identify institutional value zones, and project high-probability liquidity targets.
It is engineered for Day Traders and Scalpers (Crypto & Futures) who need to know if the market is Trending, Ranging, or preparing for a Breakout.
1. The "Regime" System (Standard Deviation Bands)
The core engine anchors a VWAP (Volume Weighted Average Price) to your chosen timeframe (Daily, Weekly, or Monthly) and projects volatility bands based on market variance.
The Trend Zone (Inner Band / 1.0 SD): This is the "Fair Value" zone. In a healthy trend, price will pull back into this zone and hold. A hold here signals a high-probability continuation (Trend Following).
The Reversion Zone (Outer Band / 2.0 SD): This represents a statistical extreme. Price rarely sustains movement beyond 2 Standard Deviations without a reversion. A touch of this band signals "Overbought" or "Oversold" conditions.
2. Liquidity Magnets (Virgin VWAPs)
The script automatically tracks "Unvisited VWAPs" from previous sessions. These are price levels where significant volume occurred but have not yet been re-tested.
The Logic: Algorithms often target these "open loops." The script visualizes them as Blue Dashed Lines with price tags.
Smart Scaling (Anti-Scrunch): Includes a custom "Ghost Engine" that automatically hides or "ghosts" magnets that are too far away. This prevents your chart from being squashed (scrunched) on lower timeframes, keeping your candles perfectly readable while still tracking targets in the background.
3. The Quant Matrix (Dashboard)
A real-time Heads-Up Display (HUD) that interprets the data for you:
Regime: Detects Volatility Squeezes. If the bands compress, it signals "⚠ SQUEEZE", warning you to stop mean-reversion trading and prepare for an explosive breakout.
Bias: Color-coded Trend Direction (Bullish/Bearish) based on VWAP slope.
Signal: actionable text prompts such as "BUY DIP" (Trend Following), "FADE EXT" (Mean Reversion), or "PREP BREAK" (Squeeze).
4. Visual Intelligence
Bold Day Separators: Clear, vertical dotted dividers with Date Stamps to instantly separate trading sessions.
Dynamic Labels: Floating labels on the right axis identify exactly which deviation level is which, preventing chart confusion.
How to Use
Strategy A: The Trend Pullback (continuation)
Check Matrix: Ensure Bias is BULLISH (Green).
Wait: Allow price to pull back into the Inner Band (Dark Green Zone).
Trigger: If price holds the Center VWAP or the -1.0 SD line, enter Long.
Target: The next Liquidity Magnet above or the +2.0 SD band.
Strategy B: The Reversion Fade (Counter-Trend)
Check Matrix: Ensure price is labeled "EXTREME" or Signal says "FADE EXT".
Trigger: Price touches or pierces the Outer Band (2.0 SD).
Action: Enter counter-trend (Short) with a target back to the Center VWAP (Mean Reversion).
Strategy C: The Magnet Target
Identify a "MAGNET" line (Blue Dashed) near current price.
These act as high-probability Take Profit levels. Price will often rush to these levels to "close the loop" before reversing.
Settings
Anchor: Daily (default), Weekly, or Monthly.
Magnet Focus Range: Adjusts how aggressively the script hides distant magnets to fix chart scaling (Default: 2%).
Visuals: Fully customizable colors, label sizes, and dashboard position.
SMA MAD Trend [Alpha Extract]A sophisticated trend identification system that combines Simple Moving Average with Mean Absolute Deviation methodology to create adaptive Super Trend-style bands with advanced strength filtering and gradient visualization. Utilizing ADX-based trend strength validation and slope analysis for signal quality enhancement, this indicator delivers institutional-grade trend detection with dynamic ATR-based ribbon visualization and comprehensive strength measurement. The system's dual-filter architecture eliminates false signals during weak or choppy market conditions while maintaining sensitivity to genuine trend establishment and reversal events.
🔶 Advanced SMA-MAD Band Construction
Implements innovative Mean Absolute Deviation calculation around Simple Moving Average baseline to create volatility-adaptive bands with ratcheting logic for trend persistence. The system calculates MAD by measuring absolute price deviations from the mean, then applies configurable multipliers to generate upper and lower bands that adjust to changing market conditions while preventing premature band violations.
// Core SMA-MAD Framework
SMA_Value = ta.sma(close, SMA_Length)
Mean = ta.sma(close, MAD_Length)
Abs_Deviation = abs(close - Mean)
MAD_Value = ta.sma(Abs_Deviation, MAD_Length)
// Adaptive Bands
Upper_Band = SMA_Value + MAD_Factor * MAD_Value
Lower_Band = SMA_Value - MAD_Factor * MAD_Value
🔶 Intelligent Dual-Filter System
Features comprehensive trend validation using ADX strength measurement and slope analysis to eliminate low-conviction signals during ranging or consolidating markets. The system calculates normalized slope strength using ATR scaling and combines with ADX threshold analysis, generating filtered trend states that distinguish genuine trends from temporary price fluctuations.
🔶 Dynamic Trend Strength Engine
Implements sophisticated strength calculation combining slope intensity and ADX readings to produce normalized 0-100% strength scores with gradient colour intensity modulation. The system normalizes slope by minimum threshold and ADX by configurable level, multiplying factors to create composite strength measurement that drives visual feedback intensity across all indicator elements.
🔶 Super Trend-Style Direction Logic
Utilizes classic Super Trend methodology adapted for SMA-MAD bands, where trend direction flips occur on opposite band violations with persistent state maintenance. The system tracks previous band levels with ratcheting behaviour that adjusts bands only when price movement or new calculations warrant changes, preventing oscillation during normal volatility.
🔶 ATR-Based Ribbon Visualization
Provides dynamic ribbon overlay using ATR-scaled width around the trend line with opacity modulation based on trend strength for intuitive conviction assessment. The system creates upper and lower ribbon bounds at configurable ATR multiples, filling the channel with gradient-adjusted transparency that increases during strong trends and fades during weak conditions.
🔶 Multi-Dimensional Visual Architecture
Provides complete chart integration through trend line overlay, ATR ribbon fills, candle colouring, background glow, and transition signal labels with configurable visibility toggles. The system enables traders to customize display density from minimal (trend line only) to comprehensive (all visual elements) while maintaining consistent colour scheme and strength-based intensity across components.
🔶 Slope Strength Validation
Calculates ATR-normalized slope over configurable lookback periods to measure trend line momentum and filter sideways price action. The system compares absolute slope against minimum threshold requirements, preventing trend signals when price movement relative to the trend line lacks sufficient directional conviction regardless of band position.
🔶 Signal Generation Framework
Generates trend change signals when filtered direction state transitions from bearish to bullish or vice versa, with label placement and alert integration. The system implements state persistence that maintains previous trend until both ADX and slope filters confirm directional change, reducing whipsaw signals while capturing genuine reversals with minimal lag.
🔶 Performance Optimization Framework
Utilizes efficient calculation methods with optimized variable management and configurable parameters for balance between responsiveness and stability. The system includes intelligent state tracking with NA handling for initial bars and smooth gradient calculations that maintain performance across extended historical periods and real-time updates.
This indicator delivers sophisticated trend identification through Mean Absolute Deviation methodology combined with dual-strength filtering for superior signal quality. Unlike traditional Super Trend indicators that rely solely on ATR bands, the SMA-MAD approach uses statistical deviation measurement while incorporating ADX strength and slope validation to eliminate false signals during choppy conditions. The system's gradient-based visual feedback, ATR ribbon visualization, comprehensive dashboard, and multi-dimensional filtering make it essential for traders seeking reliable trend-following approaches with clear conviction measurement across cryptocurrency, forex, and equity markets. The combination of adaptive bands, strength-based transparency, and intelligent filtering creates an institutional-grade trend system suitable for systematic trading strategies.
ARDO (v2.4.7) Moving Averages v1.1ARDO Moving Averages v1.1 (Overlay)
Companion overlay that recreates ARDO driver states (Spreads A/B, LinReg state + slope/gradient, tiers/MK tiers, gate pass/block) and maps those states onto up to 5 moving average overlays + one optional MA-to-MA fill.
ARDO v2.4.6 (original indicator)
What this overlay does
Computes ARDO “driver states” internally (no external source required): Spread A, Spread B, LinReg (4-state), LinReg slope/accel → gradient opacity, quartile/tier regimes, MK tiers, and Gate pass/block.
Paints MA overlays using selectable “Color Modes” (Spread A, Spread B, ARDO LinReg, MK Tier, Quartile Background, Gate Pass, Bull/Bear A vs B, or Fixed).
Optional Fill between two overlay MAs using a selected color mode (intended for regime/bull-bear shading between MA lines).
Core concepts (quick read)
Baseline / MA A / MA B define Spread A and Spread B (% distance vs baseline).
LinReg is a regression of a selected source (Spread A, Spread B, or Spread(A+B)).
LinReg State (4 colors) is derived from slope sign and acceleration (trend speeding up vs slowing down): Green / Orange / Red / Gray.
Gradient Opacity scales line opacity based on slope magnitude (strong vs weak).
Tier / Quartile maps current regime into bins (Q0–H4) using rolling percentiles (or manual thresholds).
MK Tier is an alternate tier engine (Standard / Asymmetric / Mirror BG).
Gate is a boolean pass/block that can combine spread and trend requirements (optional).
How to set it up (recommended workflow)
Pick ARDO Core MAs (Baseline, MA A, MA B) and your main LinReg Source.
Tune LinReg Length + Gradient Scale to match your timeframe (shorter = faster flips, longer = smoother).
Decide Tier mode (Standard vs Asymmetric) and whether tiers use All Bars or Pivots Only .
Set up Gate (or leave off): use it as a “permission layer” for entries.
Configure your overlay MAs (1–5) and assign each a Color Mode aligned to its job:
MA1 = fast impulse (often Spread A)
MA2 = trend state (often ARDO LinReg)
MA3 = slower confirmation (often Spread B)
MA4 = gate/permission readout (Gate Pass)
MA5 = regime (MK Tier)
Enable Fill only if you want regime shading between two MAs (keep it simple: one fill only).
Inputs explained (by group)
1) Sources & Moving Averages (ARDO Core)
Price Source : price used for MA calculations (default close).
Baseline MA Type/Length : reference MA for spreads.
MA A Type/Length : “A” spread driver (usually faster).
MA B Type/Length : “B” spread driver (often slower fast MA).
EMA Fast / EMA Slow : used only if the EMA gate toggle is enabled.
2) Linear Regression & Gradient
LinReg Length : lookback used by regression.
LinReg Source : Spread A, Spread B, or Spread(A+B).
Slope Lookback : bars used to compute slope as (linreg - linreg ) / n.
Adaptive Opacity Scale : derives slope “cap” from a rolling percentile (reduces volatility-regime distortion).
Fixed Scale Cap : used if adaptive scaling is off.
Min/Max Opacity : clamps gradient range.
3) Tiers & Population
Tier Mode : Standard vs Asymmetric (changes percentile boundary logic).
Tier Population : All Bars vs Pivots Only.
Manual Thresholds : if enabled, uses user cutoffs instead of computed percentiles.
Auto-Percentile Window : rolling window size for percentiles.
4) Region Rendering (BG / regime palette)
BG colors for Q0/Q1/Q2/Q3/Q4/H4 : the palette used for “Quartile Background” color mode and MK “Mirror BG”.
Pivot Sensitivity : relevant only for Pivots Only population.
5) Gate (Pass/Block)
Gate: SpreadA > LinReg (toggle)
Gate: EMA Fast > EMA Slow (toggle)
Min Spread A (%)
Min |LinReg Slope|
Gate PASS/BLOCK colors : also used by Gate Pass color mode.
6) Overlay Moving Averages (MA1–MA5)
MA Len / Type : SMA, EMA, WMA, Wilder, Triangular, HMA, Adaptive.
Color Mode :
Fixed
ARDO Spread A
ARDO Spread B
ARDO LinReg (4-state + gradient opacity)
MK Tier
Quartile Background (Q0–H4 palette)
Gate Pass
Bull/Bear (A vs B)
Base Color : used for Fixed (and as fallback).
Line Width
Style (if present): line / stepline / markers depending on the MA slot.
Bull/Bear (A vs B) definition
Bull when MA A > MA B
Bear when MA A < MA B
Alerts (built-in alertconditions in v1.1)
Spread A State
State changed (any change)
Turned Green / Orange / Red / Gray
LinReg State
State changed (any change)
Turned Green / Orange / Red / Gray
LinReg Gradient
Gradient High (slope strength high)
Gradient Low (slope strength low)
Gate
Gate Pass ON
Gate Pass OFF
Bull/Bear Flip
Bullish flip (A crosses above B)
Bearish flip (A crosses below B)
Tier / Quartile
Entered Q0
Entered Q1
Entered H3
Entered H4
Simple Alignment
LinReg Green AND SpreadA Green (basic “momentum aligned” condition)
How to use Gate (and how to loosen/tighten it)
Use Gate as a filter , not as the entire strategy: it’s best as “permission to trade” plus your own trigger.
If Gate is too strict :
Disable EMA Fast > EMA Slow gate (trend filter) OR disable SpreadA > LinReg gate (structure filter).
Lower Min Spread A threshold.
Lower Min |LinReg Slope| threshold.
Increase LinReg Length slightly to reduce noisy flips (sometimes helps pass stability).
If Gate is too loose :
Enable both gate components (SpreadA>LinReg AND EMA Fast>Slow).
Raise Min Spread A and/or Min |LinReg Slope|.
Shorten LinReg Length to react faster (but can increase chop).
Practical “read” using the default overlay roles
MA1 (fast, Spread A mode) : impulse / early acceleration cues.
MA2 (trend, LinReg mode) : regime + momentum state; opacity tells you strength.
MA3 (confirmation, Spread B) : slower confirmation; helps avoid “one-candle impulse traps”.
MA4 (Gate Pass) : permission layer; reduces counter-trend entries.
MA5 (MK Tier) : regime band; helps distinguish “deep OS/OB context” vs mid-zone noise.
Notes
This is an overlay; it’s designed to complement the original ARDO oscillator pane.
MTF TPSL Scalper System TP/SL Integration [TheScalpingAnt]MTF TPSL Scalper System TP/SL Integration
Credit: Aballard11 (Original Moving Average Shaded Fill Area Crossover Concept & Foundation) Developed / Implemented by: The Scalping Ant
OVERVIEW
MTF-TPSL Enhanced is a professional multi-timeframe TradingView indicator engineered to align macro market bias with micro execution timing, while simultaneously delivering visual trade management via integrated Take-Profit and Stop-Loss projections.
It is a complete execution framework:
• Macro context before entry
• Clean directional bias
• Precision entry timing
• Disciplined risk visualization
Built using an advanced dual-EMA fill model, MTF-TPSL filters noise, aligns directional momentum, and helps traders execute only high-probability opportunities. Whether you are scalping, day trading, or swing trading, this tool delivers the clarity and confidence required for professional-grade decision making.
Works on Forex, Crypto, Indices, Stocks, and Futures on any liquid market.
CORE CONCEPTS
MTF-TPSL is structured around three professional trading pillars:
1) Macro Bias (Higher-Timeframe Context)
A customizable higher-timeframe moving average defines directional bias:
• Bullish macro → long focus
• Bearish macro → short focus
This reduces counter-trend trades and improves directional consistency.
2) Micro Structure (Execution Layer)
On your trading timeframe, the system uses two EMA fill zones:
• EMA Fill 2 → Trend confirmation layer
• EMA Fill 1 → Precision entry timing layer
Signals are generated only when momentum, structure, and macro bias align, significantly improving execution quality.
3) Integrated TP/SL Visualization
Built-in trade projection tools allow you to:
• Input a manual entry price
• Visualize structured Stop-Loss placement
• Project one or multiple Take-Profit levels
This encourages planned trades, not emotional trades.
KEY FEATURES
Multi-Timeframe Intelligence
• Independent Macro and Micro engines
• Adjustable Macro MA length & type (SMA / EMA / WMA / VWMA)
• Dynamic higher-timeframe background bias visualization
Advanced Entry Logic
• Standard EMA alignment + crossover confirmation
• Optional Early Reversal Detection (captures momentum shifts before lagging crossovers)
• Optional Wait-For-Candle-Close confirmation filter
Trade earlier when aggressive. Trade later when conservative. You decide.
Signal Matrix (Optional Professional HUD)
• Real-time validation of Macro + Micro conditions
• Explains why a signal prints or does not
• Excellent for learning, strategy discipline, and confidence building
Signal Matrix – How to Read It
The Signal Matrix does not simply tell you if the market is bullish or bearish. It separates market context from execution timing, which prevents traders from entering too late or during weak signals.
The matrix has two roles:
1️⃣ Market Context (Trend Alignment)
• Macro Trend = Higher-timeframe bias
• EMA Fill 2 = Micro trend confirmation
• EMA Fill 1 = Short-term execution layer
If these are Bullish, the market has bullish structure.
If these are Bearish, the market has bearish structure.
This tells you the environment, not the entry.
2️⃣ Result (Signal Decision)
“Result” only shows LONG or SHORT when a valid trade setup is actually triggered.
A signal requires:
• Macro Trend aligned
• EMA Fill 2 aligned
• EMA Fill 1 alignment
• PLUS a trigger event
o EMA crossover or
o EMA color-shift reversal (if enabled)
o and optionally, candle close confirmation if selected
So you may sometimes see:
• Macro Trend → Bullish
• EMA Fill 2 → Bullish
• EMA Fill 1 → Bullish
• Result → NO SIGNAL
This is correct and intentional.
It means:
The market is bullish, but there is no fresh trade entry yet.
The indicator avoids late entries and only signals when a new high-probability setup forms.
If “Wait for Candle Close” is enabled, signals will only confirm after the bar closes to reduce noise and false entries.
Interpretation Summary
• Bullish + NO SIGNAL = Market is bullish, wait for entry trigger
• Bearish + NO SIGNAL = Market bearish, wait for entry trigger
• LONG = Valid bullish entry setup detected
• SHORT = Valid bearish entry setup detected
This keeps trading disciplined, structured, and prevents emotional entries.
Visual Trade Management
• Dynamic TP/SL Projection System
• Automatically plots:
– Entry reference
– Stop Loss
– TP / TP1 / TP2 levels
• Professional clean color coding
• Works for both Long and Short execution
You do not just enter trades—you execute structured plans.
CUSTOMIZATION
MTF-TPSL adapts to any trading style.
Macro Settings
• Select timeframe (example: 4H or Daily)
• Choose MA type
• Adjust sensitivity
Micro Execution Settings
• Two EMA Fill systems
• Adjustable fast/slow lengths
• Precision momentum logic
Signal Behavior
• Enable Early Reversal Detection
• Enable Candle Close Confirmation
• Toggle entry labels
• Toggle background bias
Risk Settings
• Manual entry input
• Direction selection (Long / Short)
• TP %, TP1 %, TP2 %
• Stop Loss %
• Fully visualized execution roadmap
Everything is transparent. Everything is trader-controlled.
USAGE – HOW TO TRADE WITH IT
1️⃣ Identify Macro Bias
Background color instantly shows market context.
2️⃣ Wait for Micro Alignment
EMA Fill 2 confirms trend
EMA Fill 1 provides execution timing
3️⃣ Enter on Confirmed Signal
LONG or SHORT label appears only when rules align.
4️⃣ Manage Risk Professionally
Activate TP/SL projection
Plan targets
Control risk
This workflow promotes discipline, patience, and consistency.
EXAMPLE SCENARIO
Bullish Setup Example
• Macro timeframe closes above macro MA → bullish bias
• EMA Fill 2 turns bullish → structure confirmed
• EMA Fill 1 shifts bullish → execution timing
• LONG signal appears
• Entry, Stop Loss, TP, TP1, TP2 are automatically visualized
Result:
A clean, structured trade aligned with higher-timeframe direction and supported by visual risk structure.
SETTINGS SUMMARY
Macro Controls
• Timeframe
• MA length & type
Micro Controls
• EMA Fill configurations
• Sensitivity tuning
Signal Filters
• Early Reversal toggle
• Candle Close confirmation
Visual Tools
• Background bias
• Entry labels
• Signal Matrix
Risk Engine
• Entry price
• Direction
• TP / TP1 / TP2
• SL
CONCLUSION
MTF-TPSL Enhanced delivers:
• Higher-timeframe clarity
• Precise execution logic
• Professional trade management
• Customizable flexibility
• Clean presentation and usability
In a world full of distractions, MTF-TPSL provides a structured, disciplined, and professional trading framework. It merges Trend + Momentum + Risk Management into one seamless execution system.
If you want to trade with confidence, structure, and real strategic clarity, this indicator is built for you.
DISCLAIMER
This is an analytical tool, not financial advice.
Trading involves risk and no indicator guarantees results.
Always backtest, practice risk management, and never risk more than you can afford to lose.
Quantum Edge First Signal DetectorQuantum Edge is a non-repainting, multi-confirmation indicator that detects the first high-probability BUY & SELL signals using momentum, trend, volume, volatility, and price-action voting logic.
🧠 About This Indicator
Quantum Edge – First Signal Detector is designed to solve one common trader problem:
too many late or repeated signals.
Instead of firing continuous entries, this indicator focuses only on the FIRST valid signal after a market shift — helping traders enter early, reduce noise, and avoid over-trading.
It uses a quantum-style voting engine where multiple independent market factors must align before a signal is confirmed.
⚙️ Core Logic (How It Works)
Each candle is evaluated using 6 independent factors:
RSI Momentum
Bullish when RSI > 50
Bearish when RSI < 40
Price Location
Price near recent highs or lows
Volume Expansion
Current volume above moving average
EMA Trend Direction
EMA 20 vs EMA 50
Candle Strength
Strong bullish or bearish candle bodies
Volatility Filter
ATR-based low volatility confirmation
Each factor gives 1 vote.
When minimum confirmations are met, a FIRST BUY or FIRST SELL signal is generated.
🚀 Key Features
✅ First-Signal-Only Logic
Only the first BUY or SELL after trend change
No repeated signals in the same direction
Built-in signal cooldown (user-controlled)
✅ Non-Repainting
Signals are confirmed on candle close
No future data, no repainting
✅ Smart Trend Filtering
EMA-based directional bias
Avoids weak counter-trend entries
✅ Advanced Visual System
Clear BUY / SELL triangles
Trend, volume & momentum backgrounds
Support & resistance zones
Market sentiment bar coloring
✅ Alert Support
Buy alert
Sell alert
📊 Best Timeframes
Scalping: 1m – 5m
Intraday: 5m – 15m
Swing Confirmation: 30m – 1H
Works on:
Forex
Crypto
Indices
Stocks
🎯 How to Trade (Simple Guide)
BUY Setup
✔ First BUY signal appears
✔ Trend is bullish
✔ Use nearby support as reference
SELL Setup
✔ First SELL signal appears
✔ Trend is bearish
✔ Use nearby resistance as reference
Always combine with risk management.
Disclaimer: This indicator is for educational purposes only and does not constitute financial advice. Trading involves risk. Use proper risk management.
EAB: Distance (%) to EMAs/MAsRPL: Distance (%) to EMAs/MAs displays a compact table showing the percentage distance between the current price and selected moving averages, helping to quickly assess price extension relative to key technical references.
Features
• Distance to EMA 10, EMA 20, MA 50 and MA 200 (individually toggleable).
• Up to two custom moving averages , with selectable EMA or MA type and configurable period.
• Customizable colors, opacity, text size and vertical offset to fit the table cleanly on the chart.
How to use
1. Enable or disable moving averages from the “Show” section.
2. To add another average, enable “Custom Moving Average 1/2” and define its type and period.
3. Adjust the visual style from the “Table” section (colors, opacity, size and position).
Notes
• Distance is calculated as: (Close − Moving Average) / Moving Average × 100 .
• Informational indicator only; no entry or exit signals are provided .
Horizontal Dynamic Moving Averages [TheScalpingAnt]Overview
This indicator is a complete professional moving average framework designed for traders who want structured market insight, flexibility, and powerful visual clarity.
Instead of being limited to static moving averages, this tool gives you up to 10 independently configurable moving averages, full style control, forward-projected price lines, automatic labeling, and the freedom to build your own trend system exactly the way you trade.
This is not just a moving average indicator.
It is a market structure workstation.
Concepts
This tool is built around three core trading concepts:
Market Structure Visualization
Different moving averages represent short-term momentum, medium-term trend, and long-term bias. Seeing how they align instantly shows whether the market is trending, compressing, or reversing.
Precision and Control
Every MA can use any of the following calculation methods:
SMA — EMA — RMA — WMA — HMA — VWMA
This allows the trader to tailor the indicator to their trading system instead of being forced into one logic.
Clarity & Forward Guidance
Each moving average can be extended into the future with horizontal projections, allowing the trader to visualize reaction zones, support/resistance expectations, and confluence ahead of price.
Features
• Up to 10 fully independent moving averages
• Multiple calculation types (SMA / EMA / RMA / WMA / HMA / VWMA)
• Individual enable/disable control
• Adjustable length per MA
• Custom color per MA
• Individual line thickness and style
• Forward extension into future bars
• Optional on-price-scale value display
• Automatic price labels with length identification
• Extremely clean chart visualization
• Works on any market and timeframe
• Non-repainting
Every moving average becomes a strategic tool, not just a line.
Customization
This indicator is engineered to adapt to every trading style:
You Control:
• Which MAs are active
• Their length
• Their calculation method
• Their color
• Their thickness
• Their line style
• Whether values display on scale
• Forward extension distance
This makes the tool equally valuable for:
Scalpers – Day Traders – Swing Traders – Long-Term Investors.
Usage
Typical use cases include:
• Identifying trend direction
• Spotting pullbacks inside trends
• Recognizing trend shifts early
• Mapping dynamic support and resistance
• Aligning entries with trend bias
• Confirming breakout validity
• Detecting consolidation phases
Shorter MAs provide reaction signals
Mid-range MAs provide structural control
Higher MAs define long-term bias
Projected future lines allow traders to visually anticipate market reactions instead of reacting late.
Example Workflow
Example practical trading workflow:
1. Short-term MAs (e.g., 8 / 16 / 30) track entry conditions and momentum.
2. Mid-term MAs (50 / 100) define structural bias.
3. Long-term MAs (150 / 200 / 800 / 1500 / 3000) define macro trend.
4. If short-term averages remain above structural ones → trend continuation confidence.
5. If they compress and cross downward → structural weakness.
6. Extended forward bands mark dynamic areas where the market may react next.
Simple. Clear. Actionable.
Settings
Default design structure includes:
• Enable/Disable per MA
• Length defaults: 8 → 3000
• Full color customization
• Individual width selection
• Solid / Dashed / Dotted styles
• Price scale value toggle
• Forward extension bar length selector
Everything is designed to make the indicator powerful without cluttering the chart.
Conclusion
This indicator delivers:
✓ Professional-grade market structure visualization
✓ Absolute flexibility
✓ Clear and readable market information
✓ Better decision-making support
✓ Reduced uncertainty and guesswork
Whether you trade crypto, forex, indices, or stocks — this is a powerful tool to elevate your technical analysis.
Disclaimer
This indicator does not guarantee profits and is not financial advice. Trading involves risk. Users are fully responsible for their trading decisions.
MA Candle Color [TheScalpingAnt]MA Candle Color
OVERVIEW
MA Candle Color is a visual indicator that transforms your trading experience by providing instant, real-time feedback on price position relative to your chosen Moving Average.
What makes it unique?
• Real-time visual clarity: The current forming candle changes color dynamically based on its position relative to the MA
• Zero lag: Instant visual feedback as price moves
• Clean charts: Only the active candle is colored - no chart clutter
• Professional design: Sleek, minimalist approach that enhances decision-making
Perfect for:
• Day traders seeking instant trend confirmation
• Scalpers who need split-second decision support
• Swing traders monitoring trend alignment
• Any trader who values visual clarity and speed
CONCEPTS
The Power of Visual Trading
Traditional indicators require constant interpretation. MA Candle Color eliminates this cognitive load by providing instant visual feedback through intelligent candle coloring.
Core Principle
The indicator operates on a simple but powerful concept:
• Green Candle = Price is above the Moving Average (bullish territory)
• Red Candle = Price is below the Moving Average (bearish territory)
Why Only the Current Candle?
-Unlike other indicators that color all candles, MA Candle Color focuses exclusively on the NOW:
-Eliminates visual noise
-Keeps your focus on current market conditions
-Prevents analysis paralysis
-Maintains clean chart aesthetics
-The Moving Average Foundation
-Moving Averages are one of the most trusted tools in technical analysis. This indicator leverages reliability while adding a modern, intuitive visual layer.
FEATURES
Real-Time Dynamic Coloring
• Current candle changes color instantly as it forms
• Green when price crosses above MA
• Red when price crosses below MA
• Automatic color reset when candle closes
Precision Engineering
• Zero repainting - what you see is what you get
• Lightweight code - no performance impact
• Compatible with all timeframes and instruments
Full Color Customization
-Choose your own bullish color (default: vibrant green)
-Choose your own bearish color (default: professional red)
-Match your chart theme perfectly
-High visibility options for all screen types
-Clean Visual Design
-MA plotted as subtle gray line
-Works seamlessly with other indicators
CUSTOMIZATION
Complete Control Over Your Trading Experience
MA Length (Default: 8)
Adjust from 1 to any value
Shorter periods (5-20): Responsive, ideal for scalping/day trading
Medium periods (20-50): Balanced for swing trading
Longer periods (50-200): Trend following and position trading
MA Type (Default: EMA)
• SMA: Best for identifying major support/resistance levels, classic, smooth trend identification
• EMA: Ideal for fast-moving markets and quick trend changes, responsive to recent price action
• WMA: Great for balanced trend analysis, balanced approach with recent price emphasis
• VWMA: Perfect when volume analysis is crucial, incorporates volume for institutional insight
• HMA: Excellent for reducing noise in volatile markets, incorporates volume for institutional insight
Recommended Configurations
For Day Trading:
• MA Length: 8-13
• MA Type: EMA or HMA
• High contrast colors
For Swing Trading:
• MA Length: 21-50
• MA Type: EMA or SMA
• Professional, subtle colors
For Scalping:
• MA Length: 5-8
• MA Type: EMA or HMA
• Bright, high-visibility colors
USAGE
Getting Started (3 Simple Steps)
Step 1: Add to Chart
• Search "MA Candle Color" in TradingView indicators
• Click to add to your chart
• Indicator loads with optimized default settings
Step 2: Customize (Optional)
• Click the settings gear icon
• Adjust MA length to match your trading timeframe
• Select your preferred MA type
• Choose your custom colors
Step 3: Trade with Confidence
• Watch the current candle color in real-time
• Green = Bullish momentum (price above MA)
• Red = Bearish momentum (price below MA)
• Use as confirmation with your existing strategy
Trading Applications
Trend Confirmation
• Green candle confirms uptrend continuation
• Red candle confirms downtrend continuation
• Color changes signal potential trend shifts
Entry Timing
• Enter long when candle turns green with other confirmations
• Enter short when candle turns red with other confirmations
• Use as a filter to avoid counter-trend trades
Exit Signals
• Exit longs when candle turns red
• Exit shorts when candle turns green
• Protect profits by respecting color changes
Multi-Timeframe Analysis
• Use on higher timeframe for trend direction
• Use on lower timeframe for precise entries
• Align colors across timeframes for high-probability setups
Pro Tips
Combine with Support/Resistance: Use color changes at key levels for powerful signals
Volume Confirmation: Look for color changes with volume spikes for stronger moves
Multiple MAs: Add multiple instances with different lengths (e.g., 8 EMA, 21 EMA, 50 SMA)
Risk Management: Never trade on color alone - use proper stop losses and position sizing
CONCLUSION
Why MA Candle Color is Essential for Modern Traders?
In today's fast-paced markets, speed and clarity are everything. MA Candle Color delivers both by transforming complex Moving Average analysis into instant visual feedback.
Key Benefits Recap
-Faster Decision Making - No more mental calculations
-Reduced Errors - Visual clarity prevents mistakes
-Professional Appearance - Clean, distraction-free charts
-Universal Application - Works with any strategy or market
-Fully Customizable - Adapts to your exact needs
-Zero Repainting - Reliable, honest signals
-Lightweight - No performance impact
Who Benefits Most?
-Day Traders: Instant trend confirmation for quick entries/exits
-Scalpers: Split-second visual feedback for rapid trading
-Swing Traders: Clear trend alignment across timeframes
-Beginners: Simplified MA analysis without complexity
-Professionals: Clean visual layer for existing strategies
The Competitive Edge
While others are calculating price vs MA in their heads, you'll have instant visual confirmation. While they're second-guessing crossovers, you'll be executing with confidence. While their charts are cluttered with colored history, yours will be clean and focused on NOW.
Standard Deviation Vidya Moving Average | QuantLapseStandard Deviation Vidya MA by QuantLapse
Overview
The Standard Deviation Vidya MA indicator by QuantLapse is an dynamic and unique trend-following tool that leverages Variable Index Dynamic Average (VIDYA) along with a statistical measure of standard deviation to assess trend strength, direction and volatility. By utilizing adaptive smoothing and volatility adjustment this indicator provides a more responsive and robust signal framework for traders.
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Technical Composition, Calculation, Key Components & Features
📌 VIDYA (Variable Index Dynamic Average)
An adaptive moving average that automatically adjusts its sensitivity based on prevailing market volatility.
Employs a volatility-weighted smoothing constant derived from standard deviation ratios, allowing the average to respond faster during high-momentum phases and slow down during consolidation.
Reduces lag during trend expansion while suppressing noise in low-volatility environments.
Provides clearer trend structure and regime awareness compared to fixed-length moving averages.
Serves as a dynamic baseline for volatility envelopes and trend-state classification within the system.
📌 Volatility Adjustment – Standard Deviation
The system constructs a volatility-adaptive envelope around the VIDYA baseline using standard deviation, allowing band width to expand and contract dynamically with changing market conditions.
VIDYA’s smoothing factor is adjusted by comparing short-term and longer-term standard deviation, increasing responsiveness during volatility expansion and dampening noise during compression.
Upper and lower bands are calculated by applying a configurable standard deviation multiplier to the VIDYA value, creating a proportional volatility boundary rather than a fixed offset.
Price movement beyond these bands confirms volatility-supported momentum, while price contained within the bands signals consolidation or transitional phases.
📌 Trend Signal Calculation
A bullish trend state is triggered when price closes above the upper standard deviation band, indicating sustained upward momentum with volatility confirmation.
A bearish trend state is triggered when price closes below the lower band, confirming downside momentum under expanding volatility.
Once established, the trend state persists until an opposing volatility break occurs, reducing whipsaw and improving regime stability.
Trend direction is visually reinforced through dynamic color-coding of the VIDYA line and its envelope, providing immediate directional context at a glance.
______
How It Works in Trading
✅ Trend Strength Detection – Evaluates cumulative price movement over a defined window to assess directional conviction.
✅ Noise Reduction – Applies adaptive smoothing techniques to minimize whipsaws during choppy conditions.
✅ Dynamic Thresholding – Utilizes volatility-aware bands to define customizable trend continuation and invalidation levels.
✅ Color-Coded Visualization – Enhances chart readability by clearly distinguishing bullish, bearish, and neutral states.
______
Visual Representation
Trend Signals on Moving Average and Background Color:
🟢 Green/Teal Moving Average – Strong Uptrend
🔴 Red/Pink Candles – Strong Downtrend
✅ Long & Short Labels can be turned on or off for trade signal clarity.
📊 Display of entry & exit points based on entry and exit criteria's.
📊 Display of Indicators equity and buy and hold equity to compare performance.
______
Features and User Inputs
The Standard Deviation Vidya MA framework incorporates a flexible set of user-defined inputs designed to balance adaptability, clarity, and analytical control.
VIDYA Configuration – Customize the Variable Index Dynamic Average length and price source to control trend responsiveness based on volatility-adjusted smoothing.
Volatility & Deviation Controls – Adjust standard deviation lookback periods and multipliers to fine-tune adaptive upper and lower thresholds used for trend qualification.
Backtesting & Date Filters – Define a start date for historical evaluation and enable range filtering to analyze performance during specific market periods.
Display & Visualization Options – Toggle labels, equity curves, and visual overlays to tailor the chart presentation to personal trading preferences.
Color Customization – Fully configurable buy/sell colors for both trend signals and equity curves, allowing intuitive visual differentiation between bullish and bearish phases.
______
Practical Applications
The Standard Deviation VIDYA MA is designed for traders seeking an adaptive trend-following framework that dynamically responds to changing market volatility. By combining VIDYA’s volatility-sensitive smoothing with standard deviation–based thresholds, the indicator offers a robust approach to directional analysis across multiple market conditions.
Key applications include:
Adaptive Trend Identification – Detect sustained bullish and bearish trends using a volatility-adjusted moving average that automatically accelerates or slows based on market activity.
Volatility-Aware Entry & Exit Signals – Utilize standard deviation bands to define dynamic breakout and invalidation zones, helping reduce false signals during low-volatility consolidation phases.
Noise-Filtered Trend Participation – Avoid whipsaws by requiring price expansion beyond adaptive deviation thresholds before confirming trend direction.
Systematic Backtesting & Evaluation – Analyze historical trend performance using built-in equity curves and date filters to assess effectiveness across different market regimes.
Visual Trend Confirmation – Leverage color-coded VIDYA lines, deviation zones, and optional labels to clearly interpret trend state and momentum strength in real time.
This framework bridges volatility analysis with adaptive trend logic, providing a disciplined and data-driven method for trend participation while maintaining clarity and interpretability in live trading environments.
______
Conclusion
The Standard Deviation VIDYA MA by QuantLapse represents a modern evolution of adaptive trend analysis, blending volatility-weighted smoothing with statistically driven deviation thresholds. By integrating VIDYA’s responsiveness with standard deviation-based confirmation, the system delivers clearer trend structure, reduced noise, and more reliable directional context across varying market regimes.
This indicator is particularly well-suited for traders who value adaptability, clarity, and rule-based decision-making over static moving average techniques.
🔹 Who should use Standard Deviation VIDYA MA:
📊 Trend-Following Traders – Identify and stay aligned with sustained directional moves while avoiding premature reversals.
⚡ Momentum Traders – Capture volatility-supported expansions when price breaks beyond adaptive deviation bands.
🤖 Systematic & Algorithmic Traders – Ideal as a volatility-aware trend filter for rule-based entries, exits, and portfolio frameworks.
🔹 Disclaimer: Past performance does not guarantee future results. All trading involves risk, and no indicator or methodology can ensure profitability.
🔹 Strategic Advice: Always backtest thoroughly, optimize parameters responsibly, and align settings with your personal risk tolerance, timeframe, and market conditions before deploying the indicator in live trading.
Ace Algo [Anson5129]🏆 Exclusive Indicator: Ace Algo
📈 Works for stocks, forex, crypto, indices
📈 Easy to use, real-time alerts, no repaint
📈 No grid, no martingale, no hedging
📈 One position at a time
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Ace Algo
A trend-following TradingView strategy using a confluence of technical indicators and time-based rules for structured long/short entries and exits:
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Parameters Explanation
Moving Average Length
Indicates the number of historical data points used for the average price calculation.
Shorter = volatile (short-term trends); longer = smoother (long-term trends, less noise).
Default: 20
Entry delay in bars
After a trade is closed, delay the next entry in bars. The lower the number, the more trades you will get.
Default: 4
Take Profit delay in bars
After a trade is opened, delay the take profit in bars. The lower the number, the more trades you will get.
Default: 3
Enable ADX Filter
No order will be placed when ADX < 20
Default: Uncheck
Block Period
Set a block period during which no trading will take place.
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Entry Condition:
Only Long when the price is above the moving average (Orange line).
Only Short when the price is below the moving average (Orange line).
* Also, with some hidden parameter that I set in the backend.
Exit Condition:
When getting profit:
Trailing Stop Activates after a position has been open for a set number of bars (to avoid premature exits).
When losing money:
In a long position, when the price falls below the moving average, and the conditions for a short position are met, the long position will be closed, and the short position will be opened.
In a short position, when the price rises above the moving average, and the conditions for a long position are met, the short position will be closed, and the long position will be opened.
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How to get access to the strategy
Read the author's instructions on the right to learn how to get access to the strategy.
MultiTimeFrame SMA/EMA & clouds [PACHI]This will allow you to plot multiple moving averages and clouds for the current timeframe and also up to 5 from different timeframes
Miela Labs | John Dee's Watchtower [257-463]Bridging the gap between 16th-century esoteric mathematics and modern algorithmic trading.
The Enochian Watchtower is not merely a trend indicator; it is a computational artifact developed by Miela Labs LLC. This script translates Dr. John Dee’s "Great Table of the Watchtowers" and the "Sigil Dei Aemeth" into actionable financial data points.
Using our proprietary Occultator V2.0 Engine, we have derived specific mathematical constants that resonate with the current market structure.
🏛️ The Algorithmic Logic
This indicator utilizes three sacred numbers to construct a "Future Vision" of the market:
1. The Axis Mundi (Vector 257): derived from Fermat Primes and John Dee’s Grid coordinates. This Weighted Moving Average (WMA) acts as the spinal cord of the trend.
2. The Gates (Cipher 463): A prime number derived from the "Galethog" cipher stride. These bands define the absolute volatility limits (Heaven & Earth Gates).
3. Future Vision (Offset 21): Utilizing Fibonacci time sequences, the indicator projects Support and Resistance levels 21 bars into the future, allowing traders to anticipate market movements before they occur.
⚡ How to Use
• The Trend: If price is above the Purple Axis (257), the market is in a bullish phase.
• The Entry: Look for "L" (Long) and "S" (Short) signals. These are confirmed when the signal path crosses the Axis.
• The Future: Watch the projected lines on the right side of the chart to identify upcoming resistance zones.
About Miela Labs
Miela Labs is a Technomancy Research Institute based in McKinney, Texas. We specialize in building open-source esoteric trading tools and the Magic Programming Language (MPL).
🌐 Official Hub: Visit Miela Labs
💻 Source Code & Research: GitHub Repository
Disclaimer: This tool is for educational and research purposes only. It demonstrates the application of esoteric mathematics in financial analysis. Trade responsibly.
The Abramelin Protocol [MPL]"Any sufficiently advanced technology is indistinguishable from magic." — Arthur C. Clarke
🌑 SYSTEM OVERVIEW
The Abramelin Protocol is not a standard technical indicator; it is a "Technomantic" trading algorithm engineered to bridge the gap between 15th-century esoteric mathematics and modern high-frequency markets.
This script is the flagship implementation of the MPL (Magic Programming Language) project—an open-source experimental framework designed to compile metaphysical intent into executable Python and Pine Script algorithms.
Unlike traditional indicators that rely on arbitrary constants (like the 14-period RSI or 200 SMA), this protocol calculates its parameters using "Dynamic Entity Gematria." We utilize a custom Python backend to analyze the ASCII vibrational frequencies of specific metaphysical archetypes, reducing them via Tesla's 3-6-9 harmonic principles to derive market-responsive periods.
🧬 WHAT IS ?
MPL (Magic Programming Language) is a domain-specific language and research initiative created to explore Technomancy—the art of treating code as a spellbook and the market as a chaotic entity to be tamed.
By integrating the logic of ancient Grimoires (such as The Book of Abramelin) with modern Data Science, MPL aims to discover hidden correlations in price action that standard tools overlook.
🔗 CONNECT WITH THE PROJECT:
If you are a developer, a trader, or a seeker of hidden knowledge, examine the source code and join the order:
• 📂 Official Project Site: hakanovski.github.io
• 🐍 MPL Source Code (GitHub): github.com
• 👨💻 Developer Profile (LinkedIn): www.linkedin.com
🔢 THE ALGORITHM: 452 - 204 - 50
The inputs for this script are mathematically derived signatures of the intelligence governing the system:
1. THE PAIMON TREND (Gravity)
• Origin: Derived from the ASCII summation of the archetype PAIMON (King of Secret Knowledge).
• Function: This 452-period Baseline acts as the market's "Event Horizon." It represents the deep, structural direction of the asset.
• Price > Line: Bullish Domain.
• Price < Line: Bearish Void.
2. THE ASTAROTH SIGNAL (Trigger)
• Origin: Derived from the ASCII summation of ASTAROTH (Knower of Past & Future), reduced by Tesla’s 3rd Harmonic.
• Function: This is the active trigger line. It replaces standard moving averages with a precise, gematria-aligned trajectory.
3. THE VOLATILITY MATRIX (Scalp)
• Origin: Based on the 9th Harmonic reduction.
• Function: Creates a "Cloud" around the signal line to visualize market noise.
🛡️ THE MILON GATE (Matrix Filter)
Unique to this script is the "MILON Gate" toggle found in the settings.
• ☑️ Active (Default): The algorithm applies the logic of the MILON Magic Square. Signals are ONLY generated if Volume and Volatility align with the geometric structure of the move. This filters out ~80% of false signals (noise).
• ⬜ Inactive: The algorithm operates in "Raw Mode," showing every mathematical crossover without the volume filter.
⚠️ OPERATIONAL USAGE
• Timeframe: Optimized for 4H (The Builder) and Daily (The Architect) charts.
• Strategy: Use the Black/Grey Line (452) as your directional bias. Take entries only when the "EXECUTE" (Long) or "PURGE" (Short) sigils appear.
Use this tool wisely. Risk responsibly. Let the harmonics guide your entries.
— Hakan Yorganci
Technomancer & Full Stack Developer
MorphWave Bands [JOAT]MorphWave Bands - Adaptive Volatility Envelope System
MorphWave Bands create a dynamic price envelope that automatically adjusts its width based on current market conditions. Unlike static Bollinger Bands, this indicator blends ATR and standard deviation with an efficiency ratio to expand during trending conditions and contract during consolidation.
What This Indicator Does
Plots adaptive upper and lower bands around a customizable moving average basis
Automatically adjusts band width using a blend of ATR and standard deviation
Detects volatility squeezes when bands contract to historical lows
Highlights breakouts when price moves beyond the bands
Provides squeeze alerts for anticipating volatility expansion
Adaptive Mechanism
The bands adapt through a multi-step process:
// Blend ATR and Standard Deviation
blendedVol = useAtrBlend ? (atrVal * 0.6 + stdVal * 0.4) : stdVal
// Normalize volatility to its historical range
volNorm = (blendedVol - volLow) / (volHigh - volLow)
// Create adaptive multiplier
adaptMult = baseMult * (0.5 + volNorm * adaptSens)
This creates bands that respond to market regime changes while maintaining stability.
Squeeze Detection
A squeeze is identified when band width drops below a specified percentile of its historical range:
Background highlighting indicates active squeeze conditions
Low percentile readings suggest compressed volatility
Squeeze exits often precede directional moves
Inputs Overview
Band Length — Period for basis calculation (default: 20)
Base Multiplier — Starting band width multiplier (default: 2.0)
MA Type — Choose from SMA, EMA, WMA, VWMA, or HMA
Adaptation Lookback — Historical period for normalization (default: 50)
Adaptation Sensitivity — How much bands respond to volatility changes
Squeeze Threshold — Percentile below which squeeze is detected
Dashboard Information
Current trend direction relative to basis and bands
Band width percentage
Squeeze status (Active or None)
Efficiency ratio
Current adaptive multiplier value
How to Use It
Look for squeeze conditions as potential precursors to breakouts
Use band touches as dynamic support/resistance references
Monitor breakout signals when price closes beyond bands
Combine with momentum indicators for directional confirmation
Alerts
Upper/Lower Breakout — Price exceeds band boundaries
Squeeze Entry/Exit — Volatility compression begins or ends
Basis Crosses — Price crosses the center line
This indicator is provided for educational purposes. It does not constitute financial advice.
— Made with passion by officialjackofalltrades
Session Sweep System – WarRoomXYZ V1WarRoom Session Sweep System v1 is a open-source institutional trading framework built to identify liquidity behavior across Asia, London, and New York sessions.
It combines session-based liquidity mapping, sweep detection, daily expansion modeling, and trend confirmation into a unified, timing-driven system optimized for XAUUSD, FX pairs, indices, and any instrument with session-dependent volatility.
This tool does not attempt to predict direction with arbitrary oscillators.
Instead, it focuses on the underlying market mechanisms that drive price:
liquidity, timing, expansion, and trend alignment.
Below is a detailed explanation of what the script does, how its components work, and how traders can use it effectively.
🔹 1. Session Liquidity Mapping
The script automatically identifies the Asia (00:00–06:00 GMT), London (07:00–12:00 GMT), and New York (13:00–17:00 GMT) sessions and builds real-time session ranges.
Each session creates a liquidity pool.
Trading institutions frequently sweep the high or low of one session before delivering the real move in the next session.
This script captures that behavior by:
►Drawing session range boxes
►Tracking previous session highs/lows
►Highlighting high-probability sweep locations
These ranges are essential reference points for timing entries and exits.
🔹 2. Liquidity Sweep Detection (Buy & Sell Sweeps)
The indicator identifies when price runs a previous session high/low and rejects back inside the range, which is commonly interpreted as a liquidity sweep.
The following sweep types are monitored:
►London sweeping Asia
►New York sweeping London
►Asia sweeping New York
►Daily sweep of PDH/PDL
Sweeps signal that liquidity has been collected and that a potential reversal or continuation is likely.
These are marked clearly on the chart for real-time decision-making.
🔹 3. Killzone Timing Model (GMT Time)
Market manipulation and expansion often occur during specific time windows.
The script highlights these institutional killzones:
►London Killzone: 07:00–10:00 GMT
►New York Killzone: 13:30–15:30 GMT
►NY PM Session: 19:00–21:00 GMT
Sweeps occurring inside these windows carry a significantly higher probability.
The timing layer helps filter out low-quality setups.
🔹 4. Daily Range & ADR Expansion Engine
A dedicated panel displays:
►Current day range
►ADR (Average Daily Range)
►Expansion stage (Early / Developed / Extended)
►PDH/PDL swept or intact
►Overall session bias
This allows traders to understand whether the daily move is likely to continue or reverse.
For example:
►Early expansion → trend continuation likely
►Extended expansion → reversal setups become more probable
This is useful for intraday targets and risk management.
🔹 5. MA Cloud Trend Model (Fast/Slow Structure)
To align liquidity behavior with directional conviction, the script includes a configurable MA engine:
►Fast & slow MA
►MA cloud
►Slope-based trend coloring
►Trend background
►MA cross alerts
The cloud provides trend confirmation without relying on oscillators.
Trades are higher quality when the sweep direction aligns with the MA trend.
🔹 6. How the Components Work Together
The script integrates several institutional concepts into one coherent model:
►Sessions define liquidity pools
►Sweeps identify stop-hunts and reversals
►Killzones define optimal timing
►MA Cloud confirms directional bias
►ADR engine indicates expansion potential
This creates a structured framework:
Sweep → Timing → Trend → Expansion → Execution
Each component strengthens the others, forming a robust decision-making model.
🔹 7. How to Use the Indicator (Practical Guide)
✔ Look for a sweep of a previous session level
When price runs a session high/low and closes back inside, liquidity has likely been collected.
✔ Confirm timing
Sweeps inside London or NY killzones tend to produce the strongest moves.
✔ Confirm trend
Use MA cloud direction and slope:
►Cloud green → long setups preferred
►Cloud red → short setups preferred
✔ Check ADR panel
If the day has already expanded significantly, reversal setups are more likely.
If expansion is still early, continuation setups are favored.
✔ Plan your trade
Common targets include:
►Opposite side of session range
►ADR High/Low
►PDH/PDL
Stops are typically placed beyond the sweep wick.
This creates a repeatable, rule-based approach to intraday liquidity trading.
🔹 8. Why This Script Is Original
This is not a mashup of existing open-source indicators.
It introduces:
►A custom session-linked liquidity sweep engine
►A structured daily expansion model
►Integrated killzone timing aligned with GMT
►A unified bias panel merging sweeps, ADR, and session manipulation
►A trend confirmation layer designed around session behavior
While it uses known institutional concepts, their integration, execution, and timing framework are unique, purpose-built, and not directly found in open-source scripts.
🔹 9. Suitable Markets
This indicator works best on:
►XAUUSD
►Major FX pairs
►US indices
►Synthetic markets with session cycles
Ideal timeframes: 1m, 5m, 15m, 30m
🔹 10. Limitations / Notes
This is an analytical tool, not a buy/sell signal generator
All sweeps are confirmed at candle close (non-repaint)
The tool assumes GMT session windows unless chart time differs
Users must practice risk management and entry triggers manually
Disclaimer
This script is provided for informational and educational purposes only. It does not provide financial, investment, or trading advice, and it does not guarantee profits or future performance. All decisions made based on this script are solely the responsibility of the user.
This script does not execute trades, manage risk, or replace the need for trader discretion. Market behavior can change quickly, and past behavior detected by the script does not ensure similar future outcomes.
Users should test the script on demo or simulation environments before applying it to live markets and must maintain full responsibility for their own risk management, position sizing, and trade execution.
Trading involves risk, and losses can exceed deposits. By using this script, you acknowledge that you understand and accept all associated risks.
