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Longsetup
Tribulus & Ginseng PowerWhat is Tribulus & Ginseng Power?
Tribulus & Ginseng Power is an advanced inter-market macro strategy engine designed to identify institutional trend reversals and liquidity sweeps in high-volatility financial markets. Rather than analyzing an asset in isolation, this algorithm cross-examines live telemetry from three critical pillars of the crypto ecosystem simultaneously to confirm institutional dominance before executing order signals.
How the Multiverse Matrix Core Works:
The script acts as a command center analyzing three independent algorithmic engines:
The Main Asset Engine (M): Evaluates the selected chart using specialized swing detection, price action anomalies (Sushi Rolls), and premium kernel smoothing processes (Monalisa and UT Bot matrices) to find mathematical market exhaustion.
The Crypto Total Market Cap Engine (T): Requests live structural data behind the scenes from CRYPTOCAP:TOTAL to track whether global macro capital flow supports the localized trend breakout.
The Bitcoin Dominance Engine (D): Interrogates CRYPTOCAP:BTC.D to identify where global risk-on or risk-off sentiment is clustering (Bitcoin vs. Altcoins).
The Signal Breakdown Matrix:
By analyzing macro matrix alignments, the indicator prints institutional-tier alerts:
💎 PERFECT L: Global capital flows are expanding (TOTAL bullish), Bitcoin dominance matches, and the local chart confirms a bottom. High-probability premium bullish trigger.
🚀 ALT L (Altcoin Rally): Local price points upward while TOTAL cap rises and BTC.D drops, capturing the exact momentum shift where money floods into high-beta altcoins.
🩸 CRASH S: Direct macro distribution model. Major capitals are exiting the ecosystem while charts break local liquidity floors.
⚡ EARLY L / S (Early Macro Alignment): Fires instantly when the global macro telemetry matrices align before the local price reflects it, offering professional early entries before the momentum candle arrives.
Optimal Environments & Parameters:
Premium Assets: Highly volatile majors (BTC, ETH, high-cap layer-1 protocols) and major indices (NAS100, SPX).
Ideal Timeframes: Curated natively for 1-Hour (1h) and 4-Hour (4h) charts for long-form matrix confirmation. Can be scaled down to 15-Minute (15m) charts for intra-day trading.
Automation Ready: Configured with a stateful position lifecycle manager fully optimized for WunderTrading, 3Commas, or private server webhook routing. If a counter-signal is triggered, the system automatically executes a Close-First, Open-Next alert sequence to prevent cross-order jams on the exchange.
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Sentinel Trailing Bench [JOAT]Sentinel Trailing Bench
Introduction
Sentinel Trailing Bench is an open-source contextual trailing-stop overlay designed to behave differently from a standard ATR stop. It blends a sorted price-distribution engine, ATR protection, adaptive recovery behavior, and a benchmark rail so the trailing structure can react to both volatility and local value geometry.
The problem Sentinel solves is stop quality. Simple trailing stops either hug price too tightly in noisy conditions or drift too far away to be useful. Sentinel uses neighborhood structure from a sorted close buffer to estimate contextual bands, then mixes that with ATR logic and recovery tightening when the active side is under pressure.
Core Concepts
1. Sorted distribution engine
The script maintains a rolling close buffer and a sorted mirror of that buffer. This allows it to derive contextual neighborhood slices around the current price instead of relying on ATR alone.
2. Percentile-derived context bands
Supportive and defensive reference levels are estimated from the nearby distribution rather than only from recent swing points.
3. ATR-backed resilience
An ATR anchor remains part of the design so the stop still respects current volatility when distribution structure becomes thin or unstable.
4. Recovery tightening
If price moves materially against the active side relative to the last switch price, the adaptive rail is pulled closer to price to avoid stale trailing behavior.
5. Institutional bench display
The overlay shows the active stop, a benchmark line, the adaptive rail, directional clouding, candle tinting, and a compact dashboard that summarizes trend state, value state, stop gap, and recovery status.
Features
Distribution-aware trailing stop: Uses a sorted close engine and local neighborhood structure
ATR defensive anchor: Keeps the stop grounded in current volatility
Adaptive recovery pull: Tightens the guidance rail when the active side is stressed
Benchmark line and adaptive rail: Adds visual context beyond the raw stop itself
Directional cloud and candle tint: Clean visual bias cues without retail-style arrows
Top-right dashboard: Reports trend state, regime context, value position, stop gap, and recovery status
Confirmed-bar flips: Regime flips are confirmed on closed bars only
Input Parameters
Core:
Distribution Buffer
Neighborhood Radius
ATR Length
ATR Anchor
Benchmark Length
Context:
Distribution Blend
Recovery Threshold xATR
Recovery Pull
Anchor Smoothing
Visuals:
Show Benchmark
Show Adaptive Rail
Show Band Clouds
Color Candles
Show Dashboard
How to Use This Indicator
Step 1: Read the active side
The dashboard and cloud color show whether the stop is currently managing an ascent or descent state.
Step 2: Watch stop gap and rail gap
The dashboard shows how far price sits from the active stop and adaptive rail in ATR terms. This helps frame whether the trailing structure is loose or tight.
Step 3: Monitor recovery
If recovery becomes active, the stop structure is signaling that the current side is under stress and the rail is tightening.
Step 4: Use it as trade management context
Sentinel is most effective as a management tool layered onto entries generated elsewhere.
Indicator Limitations
Distribution-derived bands depend on the sample window and will evolve as new closes enter the buffer
In extremely fast conditions, any trailing stop can still gap beyond the intended exit area
Recovery tightening improves responsiveness but can also accelerate exits in choppy reversals
Originality Statement
Sentinel Trailing Bench is original in how it fuses sorted-distribution neighborhood structure, ATR resilience, and adaptive recovery behavior into one trailing-stop overlay. It is published because:
The stop uses local price distribution context instead of ATR alone
The recovery module changes behavior when the active side is materially under pressure
The benchmark, rail, cloud, and dashboard turn trailing logic into a full management framework rather than a single line
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice and does not guarantee future market behavior. Trailing stops can still be affected by volatility shocks, gaps, and structural changes in the market. Always use independent judgment and proper risk management.
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Displacement Lens [JOAT]Displacement Lens
Introduction
The Displacement Lens is an advanced open-source momentum analysis indicator that measures real-time displacement intensity by fusing four normalized momentum oscillators with volume-weighted candle body analysis. It produces a composite displacement score displayed as a gradient histogram with adaptive threshold bands, designed to separate institutional displacement candles from retail noise. This is not a simple oscillator mashup — it is a unified displacement measurement engine with institutional-grade features built on top of the core signal.
The indicator operates in its own pane (non-overlay) and provides traders with a clear, visual representation of when price is being displaced by institutional force versus when it is drifting on low-conviction retail flow.
Why This Indicator Exists
Standard momentum oscillators like RSI, CCI, or Bollinger %B each capture only one dimension of market momentum. Traders often flip between multiple oscillators trying to get a complete picture. The Displacement Lens solves this by:
Normalizing four independent oscillators (BB %B, CCI, ROC, RSI) to a common scale so they can be meaningfully combined
Weighting the composite by volume intensity and candle body ratio — because a large-bodied candle on high volume is institutional displacement, while a small-bodied candle on low volume is noise
Adding adaptive threshold bands that adjust to the signal's own volatility, rather than using fixed overbought/oversold levels that fail in different market conditions
Layering institutional features on top: decay detection, accumulation phases, divergence scanning, exhaustion markers, and a per-bar institutional candle grade
The result is a single composite signal that tells you not just "is momentum bullish or bearish" but "how strong is the institutional displacement right now, and is it accelerating, decaying, or exhausting?"
Core Signal Construction
The displacement signal is built in three stages:
Stage 1: Oscillator Normalization
Each of the four oscillators is normalized to a range using methods appropriate to each:
Bollinger %B: Measures where price sits within the Bollinger Bands. The raw %B (0 to 1) is remapped to with a soft clamp. When price is above the upper band, the score approaches +1. Below the lower band, it approaches -1.
CCI: The Commodity Channel Index is divided by 200 and clamped. CCI values beyond +/-200 saturate at +/-1, while values near zero produce scores near zero.
ROC: Rate of Change is normalized using adaptive scaling — it divides by twice its own standard deviation over 50 bars. This means the normalization adapts to the instrument's typical momentum range.
RSI: Remapped from the standard 0-100 range to by subtracting 50 and dividing by 50. RSI 70 becomes +0.4, RSI 30 becomes -0.4.
Each oscillator can be individually toggled on or off, and the composite averages only the active ones.
Stage 2: Volume-Weighted Displacement
The oscillator composite is blended with a volume displacement component:
float vol_displacement = disp_direction * body_ratio * vol_intensity
float raw_signal = osc_composite * (1.0 - vol_weight) + vol_displacement * vol_weight
Where:
disp_direction is +1 for bullish candles, -1 for bearish
body_ratio is the candle body size divided by the full range (high-low) — institutional candles have ratios above 0.7
vol_intensity is current volume relative to the 20-bar average, clamped to
vol_weight (default 0.3) controls how much volume influences the final score
This means a strong oscillator reading on a small-bodied, low-volume candle gets dampened, while a moderate oscillator reading on a large-bodied, high-volume candle gets amplified.
Stage 3: Smoothing and Thresholds
The raw signal is smoothed with an EMA (default period 5), and adaptive threshold bands are calculated as the signal's own standard deviation multiplied by a configurable factor (default 1.5x over 100 bars). This creates bands that widen in volatile markets and tighten in calm markets — far more reliable than fixed thresholds.
Institutional Features
1. Displacement Impulse Signals
When the signal crosses above the upper threshold for the first time (with volume and body confirmation), a bullish impulse label appears. Similarly for bearish. These mark the exact moment institutional displacement begins — not after it has already played out.
2. Momentum Divergence Engine
The indicator detects four types of divergence between price pivots and signal pivots:
Regular Bearish: Price makes a higher high, but the displacement signal makes a lower high — momentum is weakening despite price advance
Regular Bullish: Price makes a lower low, but the signal makes a higher low — selling pressure is fading
Hidden Bearish: Price makes a lower high, but the signal makes a higher high — continuation of downtrend likely
Hidden Bullish: Price makes a higher low, but the signal makes a lower low — continuation of uptrend likely
Divergences are detected using configurable pivot lengths and drawn as labeled markers directly on the histogram.
3. Displacement Decay Zones
When the signal was above the upper threshold but starts declining (still positive, but fading), the indicator marks a "decay zone" — a dotted box on the histogram showing where institutional momentum is waning. This is a unique concept: it identifies the transition from impulse to drift before the signal crosses zero. Bear decay zones work identically on the downside.
4. Accumulation Phase Detector
When both the signal and signal line are near zero (below half the standard deviation) for a minimum number of bars, the indicator draws a dashed "accumulation" box. These low-displacement consolidation phases often precede the next major impulse move. The concept is borrowed from Wyckoff methodology but applied to displacement scoring rather than price.
5. Institutional Candle Grading
Every bar receives a grade from D to A+ based on three factors:
Body ratio (how much of the candle is body vs wick) — 33.3% weight
Volume intensity (current volume vs 20-bar average) — 33.3% weight
Displacement alignment (how far the signal is from the threshold) — 33.4% weight
A+ candles (score >= 80) with body ratio > 0.7 and volume > 1.5x average are flagged as true institutional candles. The grade is shown in the dashboard.
6. Velocity Channel
The rate of change of the displacement signal itself is plotted as a velocity line with standard deviation bands. When velocity is expanding (accelerating), the displacement move has conviction. When velocity contracts, the move is losing steam. Optional glow effects make the velocity channel visually distinct.
7. Exhaustion Detection
Bullish exhaustion fires when the signal was above the threshold for 3 consecutive bars and then declines for 3 consecutive bars. Bearish exhaustion is the mirror. These are rare, high-conviction reversal signals that mark the exact point where institutional displacement has peaked and is reversing.
8. HTF Displacement Bias
The indicator calculates the same displacement composite on a higher timeframe (default 4H) using request.security(). When the current timeframe signal aligns with the HTF bias, conviction is higher. The dashboard shows whether HTF is BULLISH, BEARISH, or NEUTRAL and whether it is aligned with the current signal.
9. Displacement Streak Counter
Tracks how many consecutive bars the signal has been above the upper threshold (bull streak) or below the lower threshold (bear streak). Longer streaks indicate sustained institutional pressure.
Visual Elements
Gradient Histogram: The main displacement signal plotted as columns with gradient coloring — bullish bars transition from muted teal to bright teal as strength increases, bearish bars from muted rose to hot rose. Volume spike bars are highlighted in amber.
Signal Line: A further-smoothed version of the signal (3x the smoothing period) plotted as a bright lavender line. Crossovers between the signal and signal line generate diamond markers.
Adaptive Threshold Bands: Upper and lower threshold lines that expand and contract with signal volatility.
Decay Zones: Dotted boxes marking fading institutional momentum.
Accumulation Zones: Dashed boxes marking low-displacement consolidation.
Velocity Channel: Rate-of-change line with glow bands showing displacement acceleration.
15-Row Dashboard: Comprehensive command center showing Signal value, Phase classification, Candle Grade, HTF Bias, Streak, Velocity, Divergence status, and more.
Input Parameters
Oscillator Components:
BB Length (default 20), BB Multiplier (default 2.0)
CCI Length (default 23), ROC Length (default 50), RSI Length (default 14)
Individual toggles for each oscillator
Displacement Engine:
Signal Smoothing (default 5) — EMA period for the final signal
Volume Weight (default 0.3) — how much volume influences the score
Threshold Lookback (default 100) — period for adaptive threshold calculation
Threshold Multiplier (default 1.5) — sensitivity of threshold bands
Institutional Features:
Toggles for Impulse Signals, Divergences, Decay Zones, Accumulation Phases, Signal Crossovers, Velocity Channel, Exhaustion Markers, HTF Bias
HTF Timeframe (default 240 / 4H)
Accumulation Min Bars (default 8), Decay Min Bars (default 5)
Max Boxes (default 30), Divergence Pivot Length (default 5)
How to Use This Indicator
Step 1: Read the Phase
The dashboard shows the current displacement phase: IMPULSE BULL, IMPULSE BEAR, DRIFT BULL, DRIFT BEAR, DECAY, ACCUMULATION, or FLAT. This tells you the market's current displacement state at a glance.
Step 2: Watch for Impulse Signals
When the signal crosses the threshold with volume confirmation, an impulse label appears. These are the highest-conviction displacement events — institutional money is moving price.
Step 3: Monitor Decay and Exhaustion
After an impulse, watch for decay zones forming. If the signal was strong and starts declining, the move is losing institutional backing. Exhaustion markers confirm the reversal point.
Step 4: Confirm with HTF Bias
Check whether the HTF displacement aligns with the current timeframe. Aligned signals have higher follow-through probability.
Step 5: Use Divergences for Reversals
Regular divergences warn of potential reversals. Hidden divergences confirm trend continuation. Both are detected automatically.
Step 6: Identify Accumulation for Breakout Setups
When the indicator marks an accumulation phase (low displacement for extended bars), prepare for the next impulse. The breakout direction is often confirmed by the first impulse signal after accumulation ends.
Limitations
The indicator measures displacement intensity, not price direction prediction. Strong displacement can occur in both breakouts and fakeouts.
Volume data quality varies by instrument and exchange. Forex volume on TradingView represents tick volume, not true volume.
HTF bias uses request.security() which may produce different results on different chart types.
Divergence detection requires sufficient pivot history — it will not fire on the first few hundred bars of a chart.
Exhaustion signals are intentionally rare (require 3 bars above threshold + 3 bars declining). They may not fire in fast-moving markets.
The indicator works best on liquid instruments with consistent volume patterns.
Past displacement patterns do not guarantee future price movement.
Originality Statement
This indicator is original in its unified displacement measurement approach. While individual oscillators (BB %B, CCI, ROC, RSI) are well-known, this indicator is justified because:
It normalizes four oscillators to a common scale using methods appropriate to each (adaptive scaling for ROC, division-based for CCI, remapping for RSI and BB %B) — not simply averaging raw values
The volume-weighted displacement component integrates candle body analysis with volume intensity, creating a measure that distinguishes institutional candles from retail noise
Adaptive threshold bands based on the signal's own standard deviation replace unreliable fixed thresholds
The Displacement Decay Zone concept — identifying the transition from impulse to drift before the signal crosses zero — is not available in standard oscillators
The Accumulation Phase Detector applies Wyckoff-inspired consolidation detection to a composite momentum score rather than price
The Institutional Candle Grading system scores every bar on three dimensions simultaneously (body, volume, displacement alignment)
The Velocity Channel measures the rate of change of displacement itself — a second derivative that reveals acceleration and deceleration of institutional activity
The combination of all these features with a comprehensive dashboard creates a unified displacement analysis system not available in any single existing indicator
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Trading involves substantial risk of loss and is not suitable for all investors.
The displacement signal measures momentum intensity based on mathematical calculations of current and historical market data. It does not predict future price movement. High displacement does not guarantee profitable trades. Past displacement patterns do not guarantee future patterns.
Always use proper risk management, including stop losses and position sizing appropriate for your account size and risk tolerance. Never risk more than you can afford to lose.
The author is not responsible for any losses incurred from using this indicator. Users assume full responsibility for all trading decisions.
-Made with passion by officialjackofalltrades
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APEX V2 [JOAT]APEX V2
Introduction
APEX V2 Enhanced is an advanced open-source algorithmic trading strategy that synthesizes 9 proprietary analytical concepts through a sophisticated confluence system to generate high-probability trade signals. This strategy integrates Flow Absorption Module (FAM), Directional Bias Engine (DBE), Structure Mapping System (SMS), Volatility Classification (VCL), Momentum Divergence Module (MDM), Statistical Reversion Zones (SRZ), Order Flow Analysis (OFA), Anchor Deviation Bands, and Trend Momentum Signals into a unified trading framework with comprehensive risk management.
Unlike single-indicator strategies that produce frequent false signals, APEX V2 requires multi-dimensional confluence before executing trades. This confluence-based approach dramatically reduces false positives while capturing high-conviction institutional moves. The strategy includes adaptive position sizing based on risk percentage, dynamic stop loss and take profit levels, trailing stops, and real-time performance tracking through a comprehensive dashboard.
Why This Strategy Exists
This strategy addresses the fundamental challenge of trading: distinguishing high-probability setups from market noise. Individual analytical methods often produce conflicting signals, leading to whipsaws and losses. APEX V2 solves this by requiring multiple independent confirmation signals before entering trades, ensuring that:
Institutional Activity is Confirmed: FAM and OFA detect when large players are positioning
Directional Bias is Established: DBE quantifies market sentiment through probabilistic analysis
Structural Context is Validated: SMS identifies key support/resistance levels
Volatility Regime is Appropriate: VCL ensures trades occur in favorable volatility conditions
Momentum Divergence is Present: MDM confirms smart money positioning through multi-oscillator divergence
Mean Reversion Opportunity Exists: SRZ identifies statistical extremes for reversal trades
Order Flow is Toxic: OFA detects aggressive institutional buying/selling
Anchor Deviation is Extreme: Multi-timeframe VWAP deviation signals absorption zones
Trend Momentum Confirmation: Trend-following signals with minimal lag
Each analytical module provides a unique perspective on market structure. By requiring confluence across multiple dimensions, APEX V2 captures only the highest-quality setups where institutional activity, technical structure, momentum, volatility, and order flow all align.
Strategy Components Explained
1. Flow Absorption Module (FAM)
FAM analyzes VWAP deviation across 2-minute, 5-minute, and 15-minute timeframes to identify institutional liquidity absorption zones. When price deviates significantly from VWAP (default: 8.0 sigma on 2m/5m, 4.0 sigma on 15m) combined with volume surges (2.25x average) and sufficient relative volume (0.6+), FAM signals institutional absorption.
The strategy requires 2+ timeframe confirmation for FAM signals. Buy signals occur when price is below VWAP with volume surge across multiple timeframes (institutions absorbing at lows). Sell signals occur when price is above VWAP with volume surge (institutions distributing at highs).
FAM contributes 1 point to the confluence score when absorption is detected, indicating institutional players are actively positioning at price extremes.
2. Directional Bias Engine (DBE)
DBE calculates directional bias by analyzing the ratio of bullish vs bearish bars over a lookback period (default: 100 bars) combined with momentum analysis. The engine weights directional bias (60%) and momentum bias (40%) to produce a combined bias score ranging from -1.0 (extreme bearish) to +1.0 (extreme bullish).
When combined bias exceeds the threshold (default: 0.65), DBE signals bullish bias. When below -0.65, it signals bearish bias. This probabilistic approach quantifies market sentiment and filters trades against the prevailing bias.
DBE contributes 1 point to confluence when bias aligns with trade direction, ensuring trades flow with statistical probability rather than against it.
3. Structure Mapping System (SMS)
SMS detects structural pivot highs and pivot lows using configurable left/right bar parameters (default: 10 bars each). The system maintains arrays of the 10 most recent resistance and support levels, then checks if current price is within 1% of any tracked level.
When price approaches support (within 1% of recent pivot lows), SMS signals potential bounce. When price approaches resistance (within 1% of recent pivot highs), SMS signals potential rejection. These structural levels represent areas where price previously reversed, making them high-probability zones for future reversals.
SMS contributes 1 point to confluence when price is near support (for longs) or resistance (for shorts), providing structural context for entries.
4. Volatility Classification (VCL)
VCL classifies current volatility regime using ATR percentile ranking over a lookback period (default: 100 bars). The system calculates normalized ATR (ATR / price * 100) and determines its percentile rank. High volatility is defined as 70th percentile or above, low volatility as 30th percentile or below.
While VCL doesn't directly contribute to confluence scoring, it provides critical context displayed in the dashboard. High volatility regimes may require wider stops, while low volatility regimes may produce more reliable mean reversion signals.
The strategy adapts to volatility by using ATR-based position sizing and stop loss placement, ensuring risk management scales with market conditions.
5. Momentum Divergence Module (MDM)
MDM detects multi-oscillator divergences by comparing price pivots with RSI pivots. Bullish divergence occurs when price makes lower lows but RSI makes higher lows (indicating weakening selling pressure). Bearish divergence occurs when price makes higher highs but RSI makes lower highs (indicating weakening buying pressure).
The system tracks divergence counts and requires a minimum number of divergences (default: 2) before signaling. This prevents single-divergence false signals and ensures sustained divergence patterns.
MDM contributes 1 point to confluence when divergence aligns with trade direction, confirming that smart money is positioning against the prevailing price trend.
6. Statistical Reversion Zones (SRZ)
SRZ combines Bollinger Bands with RSI to identify statistical extremes for mean reversion trades. The system calculates Bollinger Bands (default: 20-period, 2.0 standard deviations) and RSI (default: 14-period) to detect oversold and overbought conditions.
Oversold signals occur when price is below the lower Bollinger Band AND RSI is below 30. Overbought signals occur when price is above the upper Bollinger Band AND RSI is above 70. These dual conditions ensure both price and momentum are at extremes.
SRZ contributes 1 point to confluence when statistical extremes align with trade direction, identifying high-probability mean reversion opportunities.
7. Order Flow Analysis (OFA)
OFA detects institutional order flow through toxicity analysis and absorption coefficient calculation. The toxicity index measures aggressive vs passive order flow by analyzing candle position and volume. When toxicity exceeds threshold (default: 0.7), it indicates institutions are aggressively taking liquidity.
The absorption coefficient quantifies institutional absorption by measuring volume intensity relative to price movement. High absorption (default: 0.75+) with minimal price movement indicates institutions are positioning without moving price significantly.
OFA calculates a confidence score (0-100%) based on absorption strength and toxicity. When confidence exceeds minimum threshold (default: 75%), OFA signals high-probability institutional activity.
OFA contributes 1 point to confluence when institutional footprints are detected with high confidence, confirming large players are actively positioning.
8. Anchor Deviation Bands
Anchor Deviation analyzes multi-timeframe VWAP deviation (2m, 5m, 15m) combined with oscillator sigma gap confirmation. The system calculates VWAP deviation using configurable methods (Price Volatility, Z-Score, or Spread StDev) and measures the gap between VWAP deviation and oscillator z-scores.
Buy signals occur when 2+ timeframes show negative VWAP deviation (price below VWAP) with 2+ timeframes confirming oscillator gap. Sell signals occur when 2+ timeframes show positive VWAP deviation with gap confirmation.
Anchor Deviation contributes 1 point to confluence when multi-timeframe tension is detected, indicating price is at extreme deviation from institutional reference levels.
9. Trend Momentum Signals
Trend Momentum Signals use a zero-lag EMA combined with volatility bands and trend strength analysis. The system calculates a zero-lag EMA by compensating for lag (EMA of price + (price - price )), then applies volatility bands using ATR multiplier (default: 1.5x).
The trend strength score is calculated by comparing current zero-lag EMA with historical values over a loop range (default: 1-70 bars). Long signals occur when trend score exceeds uptrend threshold (default: 5) AND price is above the upper volatility band. Short signals occur when trend score is below downtrend threshold (default: -5) AND price is below the lower volatility band.
Trend Momentum contributes 1 point to confluence when trend signals align with trade direction, providing trend-following confirmation with minimal lag.
10. Deviation Reversion System Component
The Deviation Reversion System component calculates deviation levels from a moving average (configurable: WMA, SMA, RMA, EMA, HMA). Three deviation levels are defined (default: 1.3%, 7.5%, 13.3%) representing progressively extreme deviations from the mean.
Buy signals occur when price drops below the first deviation level (mean - 1.3%). Sell signals occur when price rises above the first deviation level (mean + 1.3%). This component identifies when price has deviated sufficiently from its mean to warrant mean reversion trades.
Deviation Reversion contributes 1 point to confluence when price is at deviation extremes, complementing the SRZ module with a simpler percentage-based approach.
Confluence System & Signal Aggregation
APEX V2's core innovation is its confluence system. The strategy counts bullish and bearish signals from all 9 analytical modules:
FAM: Absorption buy/sell (2+ timeframe confirmation)
DBE: Bullish/bearish bias (>0.65 or <-0.65)
SMS: Near support/resistance (within 1%)
MDM: Bullish/bearish divergence (2+ divergences)
SRZ: Oversold/overbought (BB + RSI extremes)
OFA: Institutional buy/sell (75%+ confidence)
Anchor Deviation: Tension buy/sell (2+ timeframe + gap confirmation)
Deviation Reversion: Buy/sell signal (price at deviation levels)
Trend Momentum: Long/short signal (trend score + volatility bands)
When confluence mode is enabled (default: ON), the strategy requires a minimum number of modules to agree (default: 3 out of 9) before executing trades. This dramatically reduces false signals by ensuring multiple independent perspectives confirm the setup.
If both long and short signals meet confluence requirements simultaneously, the strategy selects the direction with more confirming modules. If tied, no trade is executed to avoid ambiguous setups.
Risk Management System
APEX V2 includes comprehensive risk management:
Position Sizing: Calculated based on risk per trade percentage (default: 2% of equity). The system calculates stop distance using ATR and sizes positions so that if stopped out, the loss equals exactly 2% of account equity.
Stop Loss: Set at a percentage below entry (default: 2% for longs, 2% above for shorts). Stops are placed immediately upon entry to limit maximum loss per trade.
Take Profit: Set at a percentage above entry (default: 4% for longs, 4% below for shorts). This provides a 2:1 reward-to-risk ratio.
Trailing Stop: Activates when take profit level is reached, then trails price by a percentage (default: 1.5%). This locks in profits while allowing winners to run.
Reversal Exits: If an opposite signal meets confluence requirements while in a position, the strategy immediately closes the current position. This prevents holding losing positions when market structure shifts.
Strategy Properties & Backtesting Parameters
The strategy uses realistic backtesting parameters to avoid misleading results:
Initial Capital: $10,000 (realistic for average retail trader)
Position Size: 100% of equity (controlled by risk-based position sizing)
Pyramiding: 3 (allows up to 3 positions in same direction)
Commission: Should be set to realistic levels (0.1% for crypto, 0.05% for forex, $1-5 per trade for stocks)
Slippage: Should be set to realistic levels (5-10 ticks for liquid markets)
Risk Per Trade: 2% (sustainable risk level)
Stop Loss: 2% (prevents catastrophic losses)
Take Profit: 4% (2:1 reward-to-risk ratio)
These parameters ensure backtesting results reflect realistic trading conditions. The strategy is designed to generate 100+ trades over a sufficient dataset to produce statistically significant results.
Visual Elements
FAM Gradient Ribbon: 5-layer cyan/magenta ribbon showing liquidity absorption intensity around VWAP
OFA Gradient Ribbon: 5-layer gold/indigo ribbon showing institutional order flow intensity
Anchor Deviation Ribbon: 5-layer teal/purple ribbon showing multi-timeframe VWAP tension
Entry Signals: Green triangle up for LONG entries, red triangle down for SHORT entries
Position Markers: Small circles below/above bars indicating active positions
Stop Loss Lines: Red lines showing stop loss levels for active positions
Take Profit Lines: Green lines showing take profit targets for active positions
Average Entry Price: White line showing average entry price for active positions
Comprehensive Dashboard: Real-time metrics including position status, P&L, signal confluence, individual module status, and performance metrics
Dashboard Metrics
The dashboard displays 20+ real-time metrics:
Position Status:
Status: LONG, SHORT, or FLAT
Position Size: Current position quantity
P&L: Open profit/loss in currency and percentage
Signal Confluence:
Bull Signals: Count of bullish indicators (X/9) with checkmark if confluence met
Bear Signals: Count of bearish indicators (X/9) with checkmark if confluence met
Individual Indicator Status:
FAM: BUY/SELL with deviation value
DBE: BULL/BEAR with bias score
SMS: SUP/RES (support/resistance proximity)
VCL: HIGH/LOW/NORM with percentile
MDM: BULL/BEAR with RSI value
SRZ: OS/OB (oversold/overbought) with RSI value
OFA: INST+/INST-/TOX+/TOX- with confidence percentage
ADB: BUY/SELL with deviation value
TMS: LONG/SHORT with trend score
Performance Metrics:
Win Rate: Percentage and win/loss ratio
Net Profit: Currency and percentage return
Equity: Current equity and percentage change from initial capital
Input Parameters
Strategy Settings:
Enable LONG/SHORT Trades: Toggle trade directions
Require Multi-Module Confluence: Enable/disable confluence requirement
Minimum Confluence Count: Number of modules that must agree (1-7, default: 3)
FAM Settings:
Enable FAM, VWAP Mode, Deviation Method, Volume Lookback, Volume Surge Multiplier, RVOL Threshold, 2m/5m/15m Thresholds, Show Gradient Ribbon
DBE Settings:
Enable DBE, Bias Lookback, Bias Threshold, Momentum Weight
SMS Settings:
Enable SMS, Pivot Left/Right Bars, Structure Lookback
VCL Settings:
Enable VCL, ATR Length, Regime Lookback, High/Low Vol Thresholds
MDM Settings:
Enable MDM, RSI Length, Pivot Lookback, Min Divergences
SRZ Settings:
Enable SRZ, Bollinger Length/Multiplier, RSI Length, RSI Overbought/Oversold
OFA Settings:
Enable OFA, Toxicity Lookback/Threshold, Min Absorption Coefficient, Minimum Confidence %, Show Gradient Ribbon
Anchor Deviation Settings:
Enable Anchor Deviation, VWAP Dev Mode, 2m/5m/15m VWAP Thresholds, 2m/5m/15m Osc σ-Gap Thresholds, Show Gradient Ribbon
Deviation Reversion Settings:
Enable Deviation Reversion System, MA Type, MA Period, Deviation 1/2/3 percentages
Trend Momentum Settings:
Enable Trend Momentum Signals, Zero Lag Length, Volatility Multiplier, Loop Start/End, Threshold Uptrend/Downtrend
Risk Management Settings:
Enable Stop Loss, Stop Loss %, Enable Take Profit, Take Profit %, Enable Trailing Stop, Trailing Stop %, Risk Per Trade %
Visualization Settings:
Show Entry/Exit Signals, Show Dashboard, Show All Gradient Ribbons, Ribbon Brightness Adjust
How to Use This Strategy
Step 1: Configure Backtesting Parameters
Set realistic commission and slippage in Strategy Properties. For crypto: 0.1% commission, 10 ticks slippage. For forex: 0.05% commission, 5 ticks slippage. For stocks: $1-5 per trade commission, 5 ticks slippage.
Step 2: Set Risk Parameters
Configure Risk Per Trade (default: 2%), Stop Loss (default: 2%), and Take Profit (default: 4%). These provide sustainable risk management with 2:1 reward-to-risk ratio.
Step 3: Choose Confluence Level
Set Minimum Confluence Count based on your risk tolerance. Higher confluence (4-5 indicators) produces fewer but higher-quality signals. Lower confluence (2-3 indicators) produces more signals but with more false positives.
Step 4: Enable/Disable Indicators
Toggle individual modules based on market conditions and your trading style. For trending markets, emphasize DBE, Trend Momentum, and Anchor Deviation. For ranging markets, emphasize SRZ, MDM, and Deviation Reversion.
Step 5: Monitor Dashboard
Watch the dashboard for signal confluence. When Bull Signals shows 3+/9 with checkmark, the strategy is ready to enter long. When Bear Signals shows 3+/9 with checkmark, ready to enter short.
Step 6: Review Individual Indicators
Check which specific modules are signaling. High-quality setups show alignment across multiple module types (institutional + technical + momentum + volatility).
Step 7: Backtest on Sufficient Data
Run backtests on datasets that generate 100+ trades for statistical significance. Review win rate, net profit, maximum drawdown, and profit factor.
Step 8: Optimize Parameters
Adjust module parameters for your specific instrument and timeframe. Avoid over-optimization - parameters should work across multiple instruments and time periods.
Step 9: Forward Test
After backtesting, forward test on paper trading or small live positions to validate strategy performance in real market conditions.
Step 10: Monitor Performance
Track Win Rate, Net Profit, and Equity metrics in the dashboard. If performance degrades, re-evaluate parameters or market conditions.
Best Practices
Use on liquid instruments with sufficient volume for reliable signals
Higher confluence (4-5 modules) is recommended for beginners to reduce false signals
Lower confluence (2-3 modules) can be used by experienced traders who can filter signals manually
Backtest on multiple timeframes (5m, 15m, 1h, 4h) to find optimal timeframe for your instrument
Use realistic commission and slippage - overly optimistic parameters produce misleading results
Risk no more than 2% per trade to ensure account survival during drawdown periods
Monitor VCL (Volatility Classification) - high volatility may require wider stops or reduced position size
Combine with higher timeframe trend analysis - trading with the trend improves win rate
Review individual module signals to understand why confluence was met
Disable modules that consistently produce false signals for your specific instrument
Enable trailing stops to lock in profits on winning trades
Use pyramiding (default: 3) to add to winning positions when additional confluence signals appear
Avoid trading during major news events - volatility spikes can invalidate technical signals
Backtest over multiple market conditions (trending, ranging, high volatility, low volatility)
Forward test for at least 100 trades before committing significant capital
Strategy Limitations
Requires sufficient historical data for all modules - may not work well on newly listed instruments
Multi-timeframe analysis (FAM, Anchor Deviation) requires data availability on 2m, 5m, 15m timeframes
Confluence requirement reduces trade frequency - may produce few signals on some instruments/timeframes
Backtesting results are historical and do not guarantee future performance
Strategy performance degrades during extreme volatility events (flash crashes, circuit breakers)
Commission and slippage significantly impact profitability - must use realistic values
Pyramiding can amplify losses if market reverses after adding to position
Stop loss placement using fixed percentage may be suboptimal during volatility regime changes
Module parameters optimized for one instrument may not work on others
Requires regular monitoring and parameter adjustment as market conditions evolve
Dashboard metrics are real-time snapshots and can change rapidly during volatile periods
Strategy assumes sufficient liquidity to execute at desired prices - may not work on illiquid instruments
Trailing stops can be triggered by normal volatility, closing winning trades prematurely
Reversal exits may close positions too early if opposite signal is temporary
Technical Implementation
Built with Pine Script v6 using:
9 independent analytical modules with individual enable/disable controls
Multi-timeframe security requests for FAM and Anchor Deviation (2m, 5m, 15m)
Confluence-based signal aggregation with configurable minimum threshold
Risk-based position sizing using ATR and account equity
Dynamic stop loss, take profit, and trailing stop management
Strategy.entry and strategy.exit functions for automated trade execution
Reversal exit logic to close positions when opposite confluence is met
Three 5-layer gradient ribbons (FAM, OFA, Anchor Deviation) with progressive transparency
Comprehensive dashboard with 20+ real-time metrics using table visualization
5 alert conditions for trade signals and position changes
Performance tracking (win rate, net profit, equity) displayed in dashboard
Pyramiding support (up to 3 positions) for scaling into winning trades
The code is fully open-source and can be modified to suit individual trading styles and risk tolerances.
Originality Statement
This strategy is original in its multi-confluence approach to algorithmic trading. The strategy synthesizes multiple analytical concepts into a unified framework:
It synthesizes 9 proprietary analytical concepts into a unified confluence system
The confluence requirement dramatically reduces false signals compared to single-method strategies
Each concept provides a unique perspective: institutional activity (FAM, OFA), directional bias (DBE), structural context (SMS), volatility regime (VCL), momentum divergence (MDM), mean reversion (SRZ), anchor deviation (multi-timeframe), and trend following (Trend Momentum)
Risk management system uses ATR-based position sizing to risk exactly 2% per trade regardless of stop distance
Reversal exit logic closes positions when opposite confluence is met, preventing holding losing positions during structure shifts
Comprehensive dashboard synthesizes 20+ metrics into actionable intelligence
Three gradient ribbons (FAM, OFA, Anchor Deviation) provide visual confirmation of institutional activity and order flow
Strategy is designed with realistic backtesting parameters (commission, slippage, position sizing) to avoid misleading results
Pyramiding support allows scaling into winning positions when additional confluence appears
Individual module enable/disable controls allow customization for different market conditions and trading styles
The strategy's value lies in its systematic approach to trade selection through multi-dimensional confluence. By requiring agreement across institutional activity, technical structure, momentum, volatility, and order flow, APEX V2 captures only the highest-quality setups where all factors align. This reduces emotional decision-making and provides a repeatable, testable framework for algorithmic trading.
Disclaimer
This strategy is provided for educational and informational purposes only. It is not financial advice. Trading involves substantial risk of loss. Past performance does not guarantee future results. Backtesting results are hypothetical and may not reflect actual trading performance. Always use proper risk management, never risk more than you can afford to lose, and thoroughly test any strategy on paper before committing real capital. Commission, slippage, and market conditions significantly impact profitability. No strategy works in all market conditions. Regular monitoring and parameter adjustment are required.
-Made with passion by officialjackofalltrades
استراتيجية
AxMan Exhaustion Detection Reversal Rider1. The "Exhaustion" Phase (The Warning)
The strategy first looks for a Yellow or Orange Diamond. This isn't a signal to buy yet; it’s a warning that the current trend is dying.
The Logic: It looks for a massive spike in volume combined with an "over-extended" RSI.
The Visual: Imagine a car slamming on its brakes at high speed. The tires smoke (Volume Spike), and the car skids (RSI Oversold).
The Filter: This prevents you from entering a trade when the market is "boring" or slowly drifting. You only care about the moments of peak panic or peak euphoria.
2. The "Locked & Loaded" Window (The 12-Candle Rule)
Once that "Exhaustion" diamond appears, the chart background changes color. The strategy is now hunting for a trade.
The Logic: It gives the market exactly 12 candles to prove it can reverse.
Why 12? If the market doesn't reverse within 12 candles, the "exhaustion" was just a pause, and the old trend is likely to continue. This rule keeps you out of "dead zones" where the price just goes sideways.
3. The "Trigger" (The Fast Entry)
This is where the strategy beats traditional indicators. It doesn't wait for a fancy moving average crossover.
The Logic: As soon as a candle closes above the high of the previous candle (for a Long) or below the low (for a Short), it enters.
The Goal: It gets you in at the absolute "bend" of the trend. By the time most traders see a trend change, this strategy is already in profit.
4. The "Ride" (The Exit)
This strategy is not about "scalping" small profits. It is designed to stay in the trade as long as the trend is healthy.
The Exit Rule: It only closes the trade if:
Opposite Exhaustion: It sees the same "panic" signal happening on the other side (The Target).
Trend Break: The price closes on the wrong side of the 50 EMA (The Safety Net).
The Result: This allows you to "Ride the Wave" during massive moon-shots or market crashes, often staying in a single trade for days on the 4H chart.
Why It’s "Adaptive"
Because it uses standard deviations for volume and previous candle breaks for entry, it behaves correctly whether you are looking at a 15-minute chart (fast day trading) or a Daily chart (long-term investing). It scales its "expectations" based on the timeframe you choose.
Summary in one sentence: "We wait for the sellers to get exhausted, wait for the buyers to step in and break one high, and then we hold until the buyers get tired too."
استراتيجية
Smart Money Failure Detector This indicator identifies moments when price fakes a breakout above a key high or below a key low, only to get violently rejected back inside the range. These are known as liquidity grabs or stop hunts moments where smart money runs retail breakout traders out of their positions before reversing hard in the opposite direction.
HOW IT WORKS
The indicator defines a dynamic range using a configurable lookback period. When price sweeps above the range high or below the range low but closes back inside with a strong reversal body, a rejection wick larger than the body, and a volume spike above average therefore a trap is confirmed.
Two trap types are detected:
→ Single-bar trap — the entire sweep and rejection happens within one candle
→ Multi-bar trap — price holds outside the range for a few candles before failing and closing back inside with conviction
SIGNAL TYPES
🐂 Bull Trap → SHORT
Price swept above the high, rejected, and closed bearish. Sellers are now in control.
🐻 Bear Trap → LONG
Price swept below the low, rejected, and closed bullish. Buyers absorbed all the selling.
WHAT APPEARS ON THE CHART
→ Triangle marker above or below the trap candle
→ Background highlight on the trap candle
→ Dashed stop line plotted at the wick tip
→ Dashed target line at your chosen Risk:Reward distance
→ Label showing the exact stop and target price
STOP LOSS LOGIC
The stop is placed at the extreme of the sweep wick. The high of the trap candle for shorts, the low for longs. If price returns to that level the trap thesis is invalidated. The target is the stop distance multiplied by your R:R setting, default is 2:1.
SETTINGS
Range Lookback — bars used to define the prior high and low
Max Bars to Close Back Inside — how long the multi-bar trap window stays open after a breakout
Volume Spike Multiplier — how far above average volume must be to confirm smart money activity
Min Body % — minimum body size relative to the full candle range to ensure reversal conviction
Min Wick Ratio — minimum rejection wick to body ratio to confirm a hard sweep occurred
Risk:Reward Target — how much risk to reward you want
RECOMMENDED USAGE
Best used on custom Risk:reward and other custom settings as all assets work very different to each other. Please do some backtests before live trading.
─────────────────────────────────────────
مؤشر
Buy Signal EMA& RSI [CocoChoco]█ OVERVIEW
This indicator is a momentum breakout tool designed for trend-following traders.
It produces buy signals (long only).
It is based on the "50-200 EMA & RSI25 crossover indicator" by rahulbalaji4574, which has been upgraded to Pine Script v6. Most importantly, I added filters to reduce false signals and improve overall timing.
The core logic ensures you only enter a trade when a long-term trend is confirmed, momentum is surging but not exhausted, and there is significant market participation (volume).
█ KEY IMPROVEMENTS & LOGIC
This version introduces several "Smart Filters" to the original base logic:
Momentum Sweet Spot: Unlike the original which only required RSI > 50, this version requires the RSI to be between 55 and 80 and actively rising. This avoids "choppy" entries and overextended "blow-off tops."
Trend Strength (ADX): An integrated ADX filter ensures the market is in a strong trend (ADX > 20) before a signal is generated.
Risk Management (ATR Trailing Stop): A dynamic trailing stop-loss based on 1.5x ATR is plotted automatically to help you manage risk and lock in profits.
Real-time Dashboard: A non-intrusive table in the bottom-right corner displays live RSI and ADX values for quick reference.
█ HOW TO USE
Look for the Signal: A large green triangle appears below a bar when all trend, momentum, and volume conditions align.
Manage the Trade: Use the plotted red line as your dynamic trailing stop-loss. If the price closes below this line, the trade is considered exited, and the stop will reset.
Confirm with the Dashboard: Check the bottom-right corner to see if the market is gaining strength (ADX) or nearing exhaustion (RSI).
█ ADJUSTING SETTINGS
You can fully customize the indicator by clicking the Settings (gear icon) next to the indicator name on your chart.
Inputs Tab: Adjust the RSI thresholds, EMA lengths, or the ATR multiplier to fit your specific asset and timeframe.
Style Tab: Change the colors of the 50/200 EMA, the trailing stop-loss line, and the signal triangles to match your chart's theme.
مؤشر
Entry Scanner Conservative Option AKeeping it simple,
Trend,
RSI,
Stoch RSI,
MACD, checked.
Do not have entry where there is noise on selection, look for cluster of same entry signals.
If you can show enough discipline, you will be profitable.
CT
مؤشر
The Bear & Bull TieWhat it does:
Bear & Bull Tie is a moving average crossover indicator that identifies trend reversals and generates entry/exit signals based on the relationship between price and three simple moving averages (SMA 21, SMA 55, SMA 89). The indicator combines these three MAs into an Average Moving Average (AMA) to confirm directional bias, then uses ATR (Average True Range) volatility measurement for dynamic position sizing and stop-loss placement.
How it works:
The indicator operates on a simple but effective principle: it enters a bullish trend when price closes above all three moving averages simultaneously, and enters a bearish trend when price closes below all three MAs simultaneously. This "three MA alignment" approach filters out noise and confirms genuine trend changes. The indicator then plots:
Entry levels at the highest MA during uptrends or lowest MA during downtrends
Stop-loss zones calculated using 2x ATR distance from entry prices
Trend confirmation fill between price and the Average Moving Average, color-coded blue for bullish and red for bearish
The ATR-based stop-loss sizing adapts to market volatility, making it suitable for different market conditions and timeframes.
How to use it:
Monitor the filled zones to visually confirm your trend bias
Watch for alerts when new long or short setups form; entry prices and ATR-based stops are displayed on the chart
Trade the zones between your entry level and stop-loss zone, adjusting position size based on your risk tolerance
Exit when colors reverse to indicate trend termination
The indicator works best on higher timeframes (1H and above) where trend clarity is stronger and false signals are reduced.
Alerts: FOR AUTOMATION / NOTIFICATION's (create an alert for B/B tie (2, 4) that uses Any Alert / Function Call )
Long Positions:
entries ---> "Bull Tie on NVDA | Entry : 100.5 | ATR Stop : 99.5"
exits ------> "Bull Tie on NVDA | Exit : 110.1"
Short Positions:
entries ---> "Bear Tie on NVDA | Entry : 120.05 | ATR Stop : 85.05"
exits -----> "Bear Tie on NVDA | Exit : 100"
Credits:
This script incorporates concepts and code portions from @LOKEN94 with his explicit permission. Special thanks for the foundational logic that inspired this development.
Disclaimer:
This indicator is for educational and analytical purposes. It is not financial advice. Past performance does not guarantee future results. Always manage risk properly and use stops. Test thoroughly on historical data before live trading.
مؤشر
CNagda Anchor2EntryCNagda Anchor2Entry Pine Script v6 overlay indicator pulls higher-timeframe (HTF) signal events to define anchor high/low levels and then projects visual entry labels on the lower-timeframe (LTF). It also draws auto-oriented Fibonacci retracement/extension levels for context, but it does not execute orders, stops, or targets—only visual guidance.
Inputs
Key inputs include Lookback Length for HTF scanning and a Signal Timeframe used with request.security to import HTF events onto the active chart.
Entry behavior can be set to “Confirm only” or “Wait candle,” trade side can be restricted to Buy/Sell/Both, and individual strategies (Buy WAIT/S1; Sell REV/S1/S2/S3) can be toggled.
HTF logic
The script defines WAIT/BUY setup and confirmation, SELL reversal on breaking the WAIT BUY low, and several volume/candle-based patterns (Sell S1/S2/S3, Buy S1).
It captures the associated highs/lows at those events with ta.valuewhen and imports them via request.security to form anchors (anc_hi/anc_lo) and “new trigger” booleans that gate label creation on the LTF.
Flip entries
When enabled, “Flip entries” generate contrarian labels based on breaking or confirming HTF anchors: crossing above anc_hi can trigger a flip-to-sell label, and crossing below anc_lo can trigger a flip-to-buy label.
The flip mode supports Immediate (on cross) or Confirm (on sustained break) to control how strict the trigger is.
Fibonacci drawing
User-specified Fib levels are parsed from a string, safely converted to floats, and drawn as dotted horizontal lines only when they fall inside an approximate visible viewport. Orientation (up or down) is decided automatically from pending signal direction and a simple context score (candle bias, trend, and price vs. mid), with efficient redraw/clear guards to avoid clutter.
Dynamic anchors
If HTF anchors are missing or too far from current price (checked with an ATR-based threshold), the script falls back to local swing highs/lows to keep the reference range relevant. This dynamic switch helps Fib levels and labels remain close to current market structure without manual intervention.
Signal labels
Labels are created only on confirmed bars to avoid repainting noise, with one “latest” label kept by deleting the previous one. The script places BUY/SELL labels for WAIT/CONFIRM, direct HTF patterns (Buy S1, Sell S1/S2/S3), and contrarian flip events, offset slightly from highs/lows with clear coloring and configurable sizes.
Visual context
Bars are softly colored (lime tint for bullish, orange tint for bearish) for quick context, and everything renders as an overlay on the price chart. Fib labels include a Δ readout (distance from current close), and line extension length, label sizes, and viewport padding are adjustable.
How to use
Set the Signal Timeframe and Lookback Length to establish which HTF structures and ranges will drive the anchors and entry conditions. Choose entry flow (Wait vs Confirm), enable Flip if contrarian triggers are desired, select the trade side, toggle strategies, and customize Fibonacci levels plus dynamic-anchor fallback for practical on-chart guidance.
Notes
This is a visual decision-support tool; it does not place trades, stops, or targets and should be validated on charts before live use. It is written for Pine Script v6 and relies heavily on request.security for HTF-to-LTF transfer of signals and anchors.
مؤشر
EdgeFlow Pullback [CHE]EdgeFlow Pullback \ — Icon & Visual Guide (Deep Dive)
TL;DR (1-minute read)
⏳ Hourglass = Pending verdict. A countdown runs from the signal bar until your Evaluation Window ends.
✔ Checkmark (green) = OK. After the evaluation window, price (HLC3) is on the correct side of the EMA144 for that signal’s direction.
✖ Cross (red) = Fail. After the evaluation window, price (HLC3) is on the wrong side of the EMA144.
▲ / ▼ Triangles = the actual PB Long/Short signal bar (sequence completed in time).
Small lime/red crosses = visual markers when HLC3 crosses EMA144 (context, not trade signals).
Orange line = EMA144 (baseline/trend filter).
T3 line color = Context signal: green when T3 is below HLC3, red when T3 is above HLC3.
Icon Glossary (What each symbol means)
1) ⏳ Hourglass — “Pending / Countdown”
Appears immediately when a PB signal fires (Long or Short).
Shows `⏳ currentBars / EvaluationBars` (e.g., `⏳ 7/30`).
The label stays anchored at the signal bar and its original price level (it does not drift with price).
During ⏳ you get no verdict yet. It’s simply the waiting period before grading.
2) ✔ Checkmark (green) — “Condition met”
Appears after the Evaluation Window completes.
Logic:
Long signal: HLC3 (typical price) is above EMA144 → ✔
Short signal: HLC3 is below EMA144 → ✔
The label turns green and text says “✔ … Condition met”.
This is rules-based grading, not PnL. It tells you if the post-signal structure behaved as expected.
3) ✖ Cross (red) — “Condition failed”
Appears after the Evaluation Window completes if the condition above is not met.
Label turns red with “✖ … Condition failed”.
Again: rules-based verdict, not a guarantee of profit or loss.
4) ▲ “PB Long” triangle (below bar)
Marks the exact bar where the 4-step Long sequence completed within the allowed window.
That bar is your signal bar for Long setups.
5) ▼ “PB Short” triangle (above bar, red)
Same as above, for Short setups.
6) Lime/Red “+” crosses (tiny cross markers)
Lime cross (below bar): HLC3 crosses above EMA144 (crossover).
Red cross (above bar): HLC3 crosses below EMA144 (crossunder).
These crosses are context markers; they’re not entry signals by themselves.
The Two Clocks (Don’t mix them up)
There are two different time windows at play:
1. Signal Window — “Max bars for full sequence”
A pullback signal (Long or Short) only fires if the 4-step sequence completes within this many bars.
If it takes too long: reset (no signal, no triangle, no label).
Purpose: avoid stale setups.
2. Evaluation Window — “Evaluation window after signal (bars)”
Starts after the signal bar. The label shows an ⏳ countdown.
When it reaches the set number of bars, the indicator checks whether HLC3 is on the correct side of EMA144 for the signal direction.
Then it stamps the signal with ✔ (OK) or ✖ (Fail).
Timeline sketch (Long example):
```
→ ▲ PB Long at bar t0
Label shows: ⏳ 0/EvalBars
t0+1, t0+2, ... t0+EvalBars-1 → still ⏳
At t0+EvalBars → Check HLC3 vs EMA144
Result → ✔ (green) or ✖ (red)
(Label remains anchored at t0 / signal price)
```
What Triggers the PB Signal (so you know why triangles appear)
LONG sequence (4 steps in order):
1. T3 falling (the pullback begins)
2. HLC3 crosses under EMA144
3. T3 rising (pullback ends)
4. HLC3 crosses over EMA144 → PB Long triangle
SHORT sequence (mirror):
1. T3 rising
2. HLC3 crosses over EMA144
3. T3 falling
4. HLC3 crosses under EMA144 → PB Short triangle
If steps 1→4 don’t complete in time (within Max bars for full sequence), the sequence is abandoned (no signal).
Lines & Colors (quick interpretation)
EMA144 (orange): your baseline trend filter.
T3 (green/red):
Green when T3 < HLC3 (price above the smoothed path; often supportive in up-moves)
Red when T3 > HLC3 (price below the smoothed path; often pressure in down-moves)
HLC3 (gray): the typical price the logic uses ( (H+L+C)/3 ).
Label Behavior (anchoring & cleanup)
Each signal creates one label at the signal bar with ⏳.
The label is position-locked: it stays at the same bar index and y-price it was born at.
After the evaluation check, the label text and color update to ✔/✖, but position stays fixed.
The indicator keeps only the last N labels (your “Show only the last N labels” input). Older ones are deleted to reduce clutter.
What You Can (and Can’t) Infer from ✔ / ✖
✔ OK: Structure behaved as intended during the evaluation window (HLC3 finished on the correct side of EMA144).
Inference: The pullback continued in the expected direction post-signal.
✖ Fail: Structure ended up opposite the expectation.
Inference: The pullback did not continue cleanly (chop, reversal, or insufficient follow-through).
> Important: ✔/✖ is not profit or loss. It’s an objective rule check. Use it to identify market regimes where your entries perform best.
Input Settings — How they change the visuals
T3 length:
Shorter → faster turns, more signals (and more noise).
Longer → smoother turns, fewer but cleaner sequences.
T3 volume factor (0–1, default 0.7):
Higher → more curvature/smoothing.
Typical sweet spot: 0.5–0.9.
EMA length (baseline) default 144:
Smaller → faster baseline, more cross events, more aggressive signals.
Larger → slower, stricter trend confirmation.
Max bars for full sequence (signal window):
Smaller → only fresh, snappy pullbacks can signal.
Larger → allows slower pullbacks to complete.
Evaluation window (after signal):
Smaller → verdict arrives quickly (less tolerance).
Larger → gives the trade more time to prove itself structurally.
Show only the last N labels:
Controls chart clutter. Increase for more history, decrease for focus.
(FYI: The “Debug” toggle exists but doesn’t draw extra overlays in this version.)
Practical Reading Flow (how to use visuals in seconds)
1. Triangles catch your eye: ▲ for Long, ▼ for Short. That’s the setup completion.
2. ⏳ label starts—don’t judge yet; let the evaluation run.
3. Watch EMA slope and T3 color for context (trend + pressure).
4. After the window: ✔/✖ stamps the outcome. Log what the market was like when you got ✔.
Common “Why did…?” Questions
Q: Why did I get no triangle even though T3 turned and EMA crossed?
A: The 4 steps must happen in order and within the Signal Window. If timing breaks, the sequence resets.
Q: Why did my label stay ⏳ for so long?
A: That’s by design until the Evaluation Window completes. The verdict only happens at the end of that window.
Q: Why is ✔/✖ different from my PnL?
A: It’s a structure check, not a profit check. It doesn’t know your entries/exits/stops.
Q: Do the small lime/red crosses mean buy/sell?
A: No. They’re context markers for HLC3↔EMA crosses, useful inside the sequence but not standalone signals.
Pro Tips (turn visuals into decisions)
Entry: Use the ▲/▼ triangle as your trigger, in trend direction (check EMA slope/market structure).
Stop: Behind the pullback swing around the signal bar.
Exit: Structure levels, R-multiples, or a reverse HLC3↔EMA cross as a trailing logic.
Tuning:
Intraday/volatile: shorter T3/EMA + tighter Signal Window.
Swing/slow: default 144 EMA + moderate windows.
Learn quickly: Filter your chart to show only ✔ or only ✖ windows in your notes; see which sessions, assets, and volatility regimes suit the system.
Disclaimer
No indicator guarantees profits. Sweep2Trade Pro \ is a decision aid; always combine with solid risk management and your own judgment. Backtest, forward test, and size responsibly.
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Enhance your trading precision and confidence 🚀
Happy trading
Chervolino
مؤشر
Sweep2Trade Pro [CHE]Sweep2Trade Pro \ — Liquidity Sweep → Trend → Confirmation
Sweep2Trade Pro \ helps you catch high-probability reversals or continuations that start with a liquidity sweep, align with the T3 trend, and finalize with a structure confirmation (BOS). It’s designed to reduce noise, time your entries, and keep you out of weak, chop-driven signals.
What’s a “sweep”?
A liquidity sweep happens when price briefly breaks a prior swing high/low (where many stops sit), triggers those stops, and then snaps back. This “stop-hunt” creates liquidity for bigger players and often precedes a sharp move in the opposite direction if the break fails, or fuels continuation if structure actually shifts.
What’s a BOS (Break of Structure)?
A BOS is a price action event where the market takes out a recent swing level in the trend’s direction, signaling continuation and confirming that structure has shifted (bullish BOS through a recent swing high, bearish BOS through a recent swing low).
How the indicator works (at a glance)
1. Regime Filter (T3 + R²)
T3 Moving Average: A smoother, faster-responding moving average that aims to reduce lag while filtering noise, so trend direction changes are clearer.
R² (Coefficient of Determination): Measures how “linear” the recent price path is (0→1). Higher values = stronger, cleaner trend; lower values = more chop. Used here to allow trades only when trend quality exceeds a user-set threshold.
2. Sweep Detection
Bullish sweep: price pokes below a prior swing low and closes back above it.
Bearish sweep: price pokes above a prior swing high and closes back below it.
Lookback length is configurable.
3. Sequence Lock (built-in FSM)
The script manages state in phases so you don’t jump the gun:
Phase 1: Sweep detected → wait for T3 to turn in the corresponding direction.
Phase 2: T3 direction confirmed → show “SWEEP OK” and wait for final confirmation.
Trade Signal: Only fires if confirmation arrives before a timeout.
4. Confirmation Layer
BOS via wick or close (you choose),
Strong close toward the signal (top/bottom quartile of the candle),
Optional “close above/below T3” condition.
These checks help avoid weak sweeps that immediately fade.
5. Alerts & Visuals
“SWEEP OK” markers show when the sweep + T3 direction align.
Final BUY/SELL arrows appear only when the confirmation layer passes.
Ready-made alert conditions for automation.
What you can do with it
Time reversals after sweeps: Enter when a stop-hunt fades and structure confirms.
Ride continuations: Use BOS with the T3 trend to pyramid or re-enter with structure on your side.
Filter chop: Let R² gate entries to periods with cleaner directional drift.
Automate: Use the included alerts with your platform or webhook setup.
Inputs (key settings)
Regime Filter
T3 Length / Volume Factor: Controls smoothness and responsiveness. Smaller length → faster, more sensitive; higher volume factor → smoother curve.
R² Lookback & Threshold: Length of the linear fit window and the minimum “trend quality” required. Higher thresholds mean fewer, cleaner signals.
Sweep / Sequence
Swing Lookback: How far back to define the “reference” high/low for sweeps.
Timeout: Maximum bars allowed between phases to keep signals fresh.
Restart timeout on Phase 2: Optional safety so entries don’t go stale.
Confirmation
BOS Lookback: Micro-pivot window for structure breaks.
Wick vs Close BOS: Conservative traders may prefer close.
Require close above/below T3: Tightens confirmation with trend alignment.
Practical guide (quick start)
1. Timeframe & markets: Works across majors, indices, and crypto. Start with 5m–1h intraday or 1h–4h swing; adjust R² threshold upward on noisier pairs.
2. Entry recipe (Long):
Bullish sweep of a prior low → T3 turns up → BOS/strong close.
Optional: enable “close above T3” for extra confirmation.
3. Entry recipe (Short): Mirror the above.
4. Stops: Common choices are just beyond the sweep wick (tighter) or past the BOS invalidation (safer).
5. Targets: Previous structural levels, measured move, or a T3 trail (exit when price closes back through T3).
6. Avoid low-quality contexts: If R² is very low, market is likely ranging erratically—skip or widen filters.
Tips & best practices
Context first: The same sweep means different things in a strong trend vs. flat regime; that’s why the T3+R² filter exists.
BOS choice: Wick-based BOS is earlier but noisier; close-based BOS is slower but cleaner. Tune per market.
Backtest -> Forward test: Validate settings per symbol/timeframe; then paper trade before going live.
Risk: Fixed fractional risk with asymmetric R\:R (e.g., 1:1.5–1:3) generally performs better than “all-in” discretionary sizing.
Behind the scenes (for the curious)
T3 is a multi-stage EMA construction that produces a smooth curve with reduced lag versus simple/standard EMAs.
R² is the square of correlation (0–1). Here it’s used as a moving gauge of how well price aligns to a linear path—our “trend quality” dial.
Stop-hunts / sweeps are a recognized microstructure phenomenon where clustered stops provide the liquidity that fuels the next move.
Disclaimer
No indicator guarantees profits. Sweep2Trade Pro \ is a decision aid; always combine with solid risk management and your own judgment. Backtest, forward test, and size responsibly.
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Enhance your trading precision and confidence 🚀
Happy trading
Chervolino
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Whale Buy Activity Detector (Real-Time)Whale Buy Activity Detector (Real-Time)
This indicator helps to identify abnormal spikes in the volume of purchases, which may indicate the activity of large players ("whales"). It analyzes the volume of purchases and compares it with the average volume over a certain period of time. If the volume of purchases exceeds a set threshold, the indicator marks this as potential whale activity.
Basic parameters:
Volume Threshold (x Average): The coefficient by which the current purchase volume must exceed the average volume in order to be considered abnormal. The default value is 2.0, which means that the purchase volume should be 2 times the average volume for the selected time period. This parameter can be adjusted in the range from 1.0 and higher in increments of 0.1.
Example: If you set the value to 1.5, the indicator will mark situations when the volume of purchases exceeds the average volume by 1.5 times.
Lookback Period: The time period used to calculate the average purchase volume. The default value is 20, which means that the average purchase volume will be calculated for the last 20 candles. This parameter can be set in the range from 1 and above.Example: If you set the value to 10, the average purchase volume will be calculated for the last 10 candles.
How to use:
Buy Volume: Shows the volume of purchases on each candle. This is the volume that was sold at a price higher than the opening price of the candle.
Average Buy Volume: The average volume of purchases over a given time period (Lookback Period). This parameter helps to determine the "normal" level of purchase volume.
Whale Buy: Notes abnormal spikes in the volume of purchases, which may indicate the activity of "whales". The indicator draws a mark on the top of the candle when the purchase volume exceeds the threshold set by the Volume Threshold parameter.
Notifications:
The indicator can send notifications when an abnormal volume of purchases is detected. You can set up notifications via the TradingView menu to receive real-time alerts.
Usage example:
If you are trading in a highly volatile market, you can increase the Volume Threshold to filter out small volume spikes.
If you trade in a low-volatility market, you can reduce the Volume Threshold to capture even small anomalies.
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DAILY Supertrend + EMA Crossover with RSI FilterThis strategy is a technical trading approach that combines multiple indicators—Supertrend, Exponential Moving Averages (EMAs), and the Relative Strength Index (RSI)—to identify and manage trades.
Core Components:
1. Exponential Moving Averages (EMAs):
Two EMAs, one with a shorter period (fast) and one with a longer period (slow), are calculated. The idea is to spot when the faster EMA crosses above or below the slower EMA. A fast EMA crossing above the slow EMA often suggests upward momentum, while crossing below suggests downward momentum.
2. Supertrend Indicator:
The Supertrend uses Average True Range (ATR) to establish dynamic support and resistance lines. These lines shift above or below price depending on the prevailing trend. When price is above the Supertrend line, the trend is considered bullish; when below, it’s considered bearish. This helps ensure that the strategy trades only in the direction of the overall trend rather than against it.
3. RSI Filter:
The RSI measures momentum. It helps avoid buying into markets that are already overbought or selling into markets that are oversold. For example, when going long (buying), the strategy only proceeds if the RSI is not too high, and when going short (selling), it only proceeds if the RSI is not too low. This filter is meant to improve the quality of the trades by reducing the chance of entering right before a reversal.
4. Time Filters:
The strategy only triggers entries during user-specified date and time ranges. This is useful if one wants to limit trading activity to certain trading sessions or periods with higher market liquidity.
5. Risk Management via ATR-based Stops and Targets:
Both stop loss and take profit levels are set as multiples of the ATR. ATR measures volatility, so when volatility is higher, both stops and profit targets adjust to give the trade more breathing room. Conversely, when volatility is low, stops and targets tighten. This dynamic approach helps maintain consistent risk management regardless of market conditions.
Overall Logic Flow:
- First, the market conditions are analyzed through EMAs, Supertrend, and RSI.
- When a buy (long) condition is met—meaning the fast EMA crosses above the slow EMA, the trend is bullish according to Supertrend, and RSI is below the specified “overbought” threshold—the strategy initiates or adds to a long position.
- Similarly, when a sell (short) condition is met—meaning the fast EMA crosses below the slow EMA, the trend is bearish, and RSI is above the specified “oversold” threshold—it initiates or adds to a short position.
- Each position is protected by an automatically calculated stop loss and a take profit level based on ATR multiples.
Intended Result:
By blending trend detection, momentum filtering, and volatility-adjusted risk management, the strategy aims to capture moves in the primary trend direction while avoiding entries at excessively stretched prices. Allowing multiple entries can potentially amplify gains in strong trends but also increases exposure, which traders should consider in their risk management approach.
In essence, this strategy tries to ride established trends as indicated by the Supertrend and EMAs, filter out poor-quality entries using RSI, and dynamically manage trade risk through ATR-based stops and targets.
استراتيجية
Nightrangers IndicatorDescription
This indicator combines three EMA's, Ichimoku Cloud, RSI and MACD. By combining and modifying their use case this turns into an extremely powerful and accessible indicator for finding long and short position entries, below is a description of how to use this indicator, and what makes it different.
Primary Use case
The three EMA's would be the initial indicators you would be looking at, they are based on the 7d, 25d and 200d MA - Used on their own, they would be worthless, and this is where the Ichimoku Cloud comes into it, I have removed all other aspects of the Ichimoku Cloud and only kept the baseline, combine this with the three MA's and we have a very powerful indicator for finding Long entries, that is used uniquely in a way to which the Ichimoku Cloud is not originally meant to be used for.
An early indication of a LONG entry would be when the 7d MA crosses above the Ichimoku Baseline, through this early indicator, you are able to watch and monitor the chart, you would be waiting to see if the 25d MA then also crosses above the Ichimoku Baseline, This would be the second important indication of a long entry. The 200d MA helps here when making decisions on where to set your own personal take profits - If the Ichimoku baseline, and the MA's are below the 200d MA, you would be expecting a bounce point here, or heavy resistance so the long entry could be over a shorter period, than that if it was above the 200d MA, which is why it is included here, to help make a better informed choice.
The latter is reversed for finding short positions, and entries. This indicator is completely reliant on each other to find the best possible entry/exit by complementing each other, and by using the Ichimoku Baseline on it's own, and not as the Ichimoku Cloud is intended.
Just using these though, is not enough, which is why the RSI and MACD are also combined, once the conditions are met above, You may find that there can be false positives for entries, and this is where the RSI has multiple use cases within this script.
Firstly the backdrop colour will change based on whether the chart is in an uptrend or downtrend, This is a visual indicator provided to work simultaneaously on the chart itself to help identification of entries/exits easier to identify in conjunction with the above.
Secondly, It is used to display in the top right, The current Trend in a text format, as well as if the current chart is in one of three phases, these are Overbrought, Oversold and accumulation.
And finally it will display the current RSI Value on the last candle in a clear to see blue Label, This helps with the visual accessible side, to help you make a more informed choice depending on your own personal tolerance.
This ties into the above Indicators, by combining the information, you would not be looking to take a long, if for example, the RSI showed it was over-brought, and in a downtrend, even if the MA's had crossed above the Baseline, as this would most likely be a fakeout.
However if the Indicators above, showed a potential long, and the backdrop had flipped green, indicating an uptrend, and it was in an accumulation phase, you would consider this position. and this is where the MACD comes into play.
You would use the MACD to see whether or not the Signal line has crossed over the MACD line, and vice versa - However this script uses it to simplify and portray current market sentiment, and visually display by reducing clutter on screen, and making it more accessible.
It is designed to portray an easy to read and understand visual indicator by displaying in the top right simply as Bullish or Bearish, with markers above the candles ( "M" and "MX" ).
The M indicator is to show where the MACD Crosses above the Signal, and if aligned with all the other indicators within the script, shows a very strong confirmation for a buying opportunity, and vice versa for the "MX" indicator if aligned with the other indicators in reverse, provides a very strong confirmation for opening a short position or for selling.
Secondary Use case
By combining the indicators above, the secondary conditions you would be looking for, If you opened a LONG position, would be knowing when to sell, On top of what has been described above already regarding this, you would be looking to start taking profits, when the 7d MA crosses above or across the candles, and looking to close the position, when the 25d MA also crosses above the candles, and respectively, in reverse for closing short positions. This is shown across the charts to be extremely useful, however, combine this with the other indicators, portrayed in an easy to use and understand visual representation, you are now able to make more informed decisions, on whether to close a position or not.
How is it different and not just a mash up
I have combined these indicators to make the world of trading more accessible for everyone regardless of circumstances, by creating an easy to understand visual representation, keeping colours vibrant and easy to stand out, with clear and simple to read text indications. So whether you are a seasoned trader, or just starting out, you can make more informed choices, without the need of learning how to use multiple different indicators, and learning how to combine them all, or if you have difficulties learning, this indicator also simplifies a lot of the more technical intricacies, by still allowing you to make a more informed choice.
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MM Detector (Long)This script tries to detect a market maker pattern.
A market maker pattern is usually made up of a high volume push down followed by a w pattern.
The script finds a market maker low with unusual volume and then looks for a push high (also with high volume) and usually through the ema 50.
The first push is normally a test but can be a good place to go long.
There are often atleast two pushes up in a MM pattern.
How to use.
Wait for the indicator to detect a market maker push low with high volume.
Along with other confirmations, go long when the indicator prints the first or second long push.
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TrendLine CrossThis indicator "TrendLine Cross", is designed to plot trend lines so you can spot potential trend reversal points on the charts. The main function is to draw several lines on the chart and identify the crossings between these lines, which can be significant indicators for trading. The lines are based on different periods which can be changed in the settings tabs.
Let's see the characteristics of the trend lines:
_Low Line Color(Green Line): This line connects the lowest point of low prices in the "low_time" period with the lowest point of low prices in the "high_time" period. Indicates a possible short-term support level on the chart.
_Liquidity Up Line Color (Golden Line): This line connects the lowest point of low prices in the "low_time" period with the highest point of low prices in the same period. It represents a liquidity zone and an important resistance in the chart.
_Lower Line Color (Blue Line): This horizontal line connects the lowest point of low prices in the "LowerLine_period" with the lowest point of low prices in the "high_time" period. Indicates a possible long-term support level.
_Upper Line Colorr: This line represents a connection between the highest points of the "high_time" period and the lowest point of the "LowerLine_period". Indicates a possible long-term resistance level.
_Up Line Color (Red Line): This line connects the highest point of high prices in the "high_time" period with the highest point of high prices in the "LowerLine_period". It represents a possible long-term resistance level.
_Liquidity Down Line Color(Golden Line): This line connects the highest point of high prices in the "high_time" period with the highest point of low prices in the "low_time" period. It represents a liquidity point and an important support zone.
The indicator becomes particularly interesting when the lines make crossings. These crossovers could suggest a potential trend change in the market. For example:
Change from Bearish to Bullish: If the "long-term" line (black) crosses the "short- or long-term" line (green or blue) from top to bottom, it could indicate a shift from a bearish to a bullish market , suggesting the opportunity for long positions.
_Changing from Bullish to Bearish: If the "long-term" line (blue) crosses the "short-term" line (red or black) from bottom to top, it could indicate a shift from a bullish to a bearish market, suggesting the opportunity for short positions.
Generally speaking, crossings between these lines can be key points of interest for traders, as they can signal significant changes in price direction.
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Buy/Sell BoxThis indicator tries to identify the points where the price exceeds or falls below a rectangle based on the opening and closing prices of the previous period, the creation of the boxes occurs when a doji is detected therefore it will calculate the coordinates of the rectangle that will be drawn around it, therefore the indicator offers buy or sell signals based on this logic. Specifically, the buy signal is generated if the closing price is above the top of the rectangle and satisfies some previous price conditions while the sell signal is generated if the closing price is below the bottom of the rectangle and satisfies some conditions of previous prices within a further threshold based on the Ema 150.
Lines are then drawn on the graph to visually display the extreme price levels, which can be useful for any confirmation of buy and sell signals, Stop Loss and Take Profit, Trend Filter (to visually understand if the trend is bullish or bearish)
A potentially effective trading strategy could involve identifying buy and sell signals near the extreme price level lines drawn by the indicator. This approach can be used to try to improve the accuracy of your trading signals and make more informed decisions. For example:
When you receive a buy or sell signal based on the dojis and rectangles generated by the indicator, check whether the price is also near one of the extreme price level lines. If you are receiving a buy signal and notice that the current price is near a low of the lower level line, this may further confirm the buying opportunity, as the price is near a significant resistance level. On the contrary, if the sell signal was close to a maximum price level it could confirm an excellent short entry.
It is also possible to use the boxes as reference points to set the stop loss and take profit levels. If you are entering a buy position, you might consider setting your stop loss just below an upper line of the last box. Additionally, you may want to set your take profit near a higher price level if you are looking to maximize profits. This will help manage risks and protect your capital.
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3kilos BTC 15mThe "3kilos BTC 15m" is a comprehensive trading strategy designed to work on a 15-minute timeframe for Bitcoin (BTC) or other cryptocurrencies. This strategy combines multiple indicators, including Triple Exponential Moving Averages (TEMA), Average True Range (ATR), and Heikin-Ashi candlesticks, to generate buy and sell signals. It also incorporates risk management features like take profit and stop loss.
Indicators
Triple Exponential Moving Averages (TEMA): Three TEMA lines are used with different lengths and sources:
Short TEMA (Red) based on highs
Long TEMA 1 (Blue) based on lows
Long TEMA 2 (Green) based on closing prices
Average True Range (ATR): Custom ATR calculation with EMA smoothing is used for volatility measurement.
Supertrend: Calculated using ATR and a multiplier to determine the trend direction.
Simple Moving Average (SMA): Applied to the short TEMA to smooth out its values.
Heikin-Ashi Close: Used for additional trend confirmation.
Entry & Exit Conditions
Long Entry: Triggered when the short TEMA is above both long TEMA lines, the Supertrend is bullish, the short TEMA is above its SMA, and the Heikin-Ashi close is higher than the previous close.
Short Entry: Triggered when the short TEMA is below both long TEMA lines, the Supertrend is bearish, the short TEMA is below its SMA, and the Heikin-Ashi close is lower than the previous close.
Take Profit and Stop Loss: Both are calculated as a percentage of the entry price, and they are set for both long and short positions.
Risk Management
Take Profit: Set at 1% above the entry price for long positions and 1% below for short positions.
Stop Loss: Set at 3% below the entry price for long positions and 3% above for short positions.
Commission and Pyramiding
Commission: A 0.07% commission is accounted for in the strategy.
Pyramiding: The strategy does not allow pyramiding.
Note
This strategy is designed for educational purposes and should not be considered as financial advice. Always do your own research and consider consulting a financial advisor before engaging in trading.
استراتيجية
Bullish Divergence Short-term Long Trade FinderThis script is a Bullish divergence trade finder built to find small periods where Bitcoin will likely rise from. It looks for bullish divergence followed by a higher low as long as the hour RSI value is below the 40 mark, if then it will enter an long. It marks out Buy signals on the RSI if the value dips below 'RSI Bull Condition Minimum' (Default 40) on the current time frame in view. It also marks out Sell signals found when the RSI is above the 'RSI Bearish Condition Minimum' (Default 50). The sell signals are bearish divergence that has occurred recently on the RSI. When a long is in play it will sell if it finds bearish divergence or the time frame in view reaches RSI value higher than the 'RSI Sell Value'(Default 75). You can set your stop loss value with the 'Stop loss Percentage' (default 5).
Available inputs:
RSI Period: relative strength measurement length(Typically 14)
RSI Oversold Level: the bottom bar of the RSI (Typically 30)
RSI Overbought Level: the top bar of the RSI (Typically 70)
RSI Bearish Condition Minimum: The minimum value the script will use to look for a pivot high that starts the Bearish condition to Sell (Default 50)
RSI Bearish Condition Sell Min: the minimum value the script will accept a bearish condition (Default 60)
RSI Bull Condition Minimum: the minimum value it will consider a pivot low value in the RSI to find a divergence buy (Default 40)
Look Back this many candles: the amount of candles thee script will look back to find a low value in the RSI (Default 25)
RSI Sell Value: The RSI value of the exit condition for a long when value is reached (Default 75)
Stop loss Percentage: Percentage value for amount to lose (Default 5)
The formula to enter a long is stated below:
If price finds a lower low and there is a higher low found following a lower low and price has just made another dip and price closes lower than the last divergence and Relative strength index hour value is less than 40 enter a long.
The formula to exit a long is stated below:
If the value drops below the stop loss percentage OR (the RSI value is greater than the value of the parameter 'RSI Sell Value' or bearish divergence is found greater than the parameter 'RSI Bearish Condition Minimum' )
This script was built from much strategy testing on BTC but works with alts (occasionally) also. It is most successful to my knowledge using the 15 min and 7 min time frames with default values. Hope it helps! Follow for further possible updates to this script or other entry or exit strategies.
snapshot:
I only have a Pro trading view account so I cannot share a larger data set about this script because the buy signals happen pretty rarely. The most amount that I could find within a view for me was 40 trades within a viewable time. The suggested/default parameters that I have do not occur very often so it limits the data set. Adjustments can be made to the parameters so that trades can be entered more often. The scripts success is dependent on the values of the parameters set by the user. This script was written to be used for BTC/USD or BTC/USDT trading. I am unable to share a larger dataset without putting out results that are intended to fail or having a premium account so reaching the 100 trade minimum is not possible with my account.
استراتيجية
Bar Color Long / Short Indicator With Advised SL Rev 1This is the Revised Version of Bar Color Long / Short Indicator With Advised SL with some extra features
Overview
This script is a trading indicator named "Bar Color Long / Short Indicator With Advised SL" designed for the TradingView platform. The indicator's primary purpose is to provide entry signals for long and short positions, based on various technical analysis methods. Additionally, the indicator suggests stop-loss levels for both long and short positions.
User Inputs
The indicator has several user inputs, such as:
Length
Smoothing
Multiplier
Show bar colors (ON/OFF)
When the bar colors are turned off, the alert signals for long and short positions will be displayed instead.
Custom Risk Calculation
The script calculates a custom risk level based on a modified version of the RSI (Relative Strength Index) formula. The custom risk level is divided into three categories: low, medium, and high.
Sentiment Score Calculation
The indicator calculates a sentiment score based on a combination of methods resembling EMA (Exponential Moving Average), MACD (Moving Average Convergence Divergence), and ROC (Rate of Change). The sentiment score is used to determine if the sentiment is positive or negative.
Bollinger Bands Percent and Combined Signal
The Bollinger Bands Percent is calculated, and the custom risk, sentiment score, and Bollinger Bands Percent are combined to generate a new signal. This signal is used in conjunction with EMA10 to determine the bar colors and provide entry signals.
Bar Colors
Based on the combined signal and EMA10, the script determines the bar colors as follows:
Orange: Positive sentiment
Blue: Negative sentiment
Gray: Neutral
Entry Signals and Alerts
When the bar colors are turned off, the indicator displays large green arrow signals for long (buy) positions and red arrow signals for short (sell) positions based on the sentiment and EMA10 conditions. The script also includes alert conditions for long and short signals, which can be used to set up notifications when these signals are triggered in the TradingView platform.
Advised Stop-Loss Levels
The indicator plots stop-loss lines for both long and short positions at the last candle, accompanied by labels showing the advised stop-loss levels in numeric values
Rev 1
added / changed :
SMA50 slope check
EMA20 higher or lower than EMA10
color ON/OFF changed
Signal once Buy and Sell
مؤشر
Bar Color Long / Short Indicator With Advised SLOverview
This script is a trading indicator named "Bar Color Long / Short Indicator With Advised SL" designed for the TradingView platform. The indicator's primary purpose is to provide entry signals for long and short positions, based on various technical analysis methods. Additionally, the indicator suggests stop-loss levels for both long and short positions.
User Inputs
The indicator has several user inputs, such as:
Length
Smoothing
Multiplier
Show bar colors (ON/OFF)
When the bar colors are turned off, the alert signals for long and short positions will be displayed instead.
Custom Risk Calculation
The script calculates a custom risk level based on a modified version of the RSI (Relative Strength Index) formula. The custom risk level is divided into three categories: low, medium, and high.
Sentiment Score Calculation
The indicator calculates a sentiment score based on a combination of methods resembling EMA (Exponential Moving Average), MACD (Moving Average Convergence Divergence), and ROC (Rate of Change). The sentiment score is used to determine if the sentiment is positive or negative.
Bollinger Bands Percent and Combined Signal
The Bollinger Bands Percent is calculated, and the custom risk, sentiment score, and Bollinger Bands Percent are combined to generate a new signal. This signal is used in conjunction with EMA10 to determine the bar colors and provide entry signals.
Bar Colors
Based on the combined signal and EMA10, the script determines the bar colors as follows:
Orange: Positive sentiment
Blue: Negative sentiment
Gray: Neutral
Entry Signals and Alerts
When the bar colors are turned off, the indicator displays large green arrow signals for long (buy) positions and red arrow signals for short (sell) positions based on the sentiment and EMA10 conditions. The script also includes alert conditions for long and short signals, which can be used to set up notifications when these signals are triggered in the TradingView platform.
Advised Stop-Loss Levels
The indicator plots stop-loss lines for both long and short positions at the last candle, accompanied by labels showing the advised stop-loss levels in numeric values.
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