How RSI Pullbacks Work Best in a Trend EMA Momentum ConceptRSI is one of the most widely used momentum indicators, but it works best when traded in the direction of the trend rather than in isolation.
This idea demonstrates a simple RSI pullback / retest concept combined with a 50 EMA to identify high-probability trend continuation trades.
๐น Strategy Concept
The core idea is to trade pullbacks within an existing trend instead of chasing price or predicting reversals.
A 50 EMA is used as a trend filter:
โข Price above EMA โ bullish bias
โข Price below EMA โ bearish bias
This keeps trades aligned with market structure and momentum.
๐ข BUY Setup (RSI Pullback in Uptrend)
A buy signal appears when:
โข Price is above the 50 EMA
โข RSI pulls back below the 45 level
โข RSI crosses back above 45
โข Price shows bullish confirmation
This represents a healthy pullback, not weakness.
๐ด SELL Setup (RSI Retest in Downtrend)
A sell signal appears when:
โข Price is below the 50 EMA
โข RSI rises above the 55 level
โข RSI crosses back below 55
โข Price confirms bearish momentum
This captures continuation after a corrective move.
๐ Chart Observation
As seen on the chart, signals occur after pullbacks rather than at random points.
Trades align with trend direction and avoid sideways conditions.
The highlighted buy and sell markers show how RSI reacts during momentum pauses and resumes in the direction of the trend.
This behavior is clearly visible on intraday charts like the 15-minute timeframe.
๐ง How to Use This Idea
This concept works best when combined with:
โข Support and resistance levels
โข Market structure
โข Candle confirmations (engulfing, strong rejection candles)
โข Proper risk management
Technical analysis provides a high-probability edge, but it does not offer certainty. As seen in these examples, trades can frequently move in the opposite direction post-entry. To protect your capital, you must implement a stop-loss for every position and maintain the discipline to honor it, regardless of your conviction.
RSI here is used as a momentum pullback tool, not as a traditional overbought/oversold indicator.
If you find this concept useful, feel free to Boost and share your feedback.
Suggestions for improvements are always welcome.
pacplindicators.com
//@version=5
strategy("PACPL โ RSI Pullback / Retest Strategy v2.1 (Live Version)",
overlay=true, max_labels_count=500, initial_capital=100000,
commission_type=strategy.commission.percent, commission_value=0.02)
//------------------------------------------------------
// โ๏ธ INPUTS
//------------------------------------------------------
rsiLen = input.int(14, "RSI Length", minval=1)
emaLen = input.int(50, "Trend EMA Length", minval=1)
pullbackBuy = input.int(45, "RSI Pullback Level (BUY Zone)", minval=20, maxval=60)
pullbackSell= input.int(55, "RSI Retest Level (SELL Zone)", minval=40, maxval=80)
confirmBars = input.int(1, "Price Confirmation Bars", minval=1)
showLabels = input.bool(true, "Show Buy/Sell Triangles")
showZones = input.bool(true, "Highlight Pullback Zones")
//------------------------------------------------------
// ๐ CORE INDICATORS
//------------------------------------------------------
rsiValue = ta.rsi(close, rsiLen)
emaPrice = ta.ema(close, emaLen)
trendUp = close > emaPrice
trendDn = close < emaPrice
//------------------------------------------------------
// ๐ SIMPLIFIED PULLBACK / RETEST LOGIC
//------------------------------------------------------
// BUY โ In uptrend, RSI dips below 45 and comes back above it
rsiBuyCond = ta.cross(rsiValue, pullbackBuy) and trendUp
// SELL โ In downtrend, RSI rises above 55 and comes back below it
rsiSellCond = ta.cross(rsiValue, pullbackSell) and trendDn
// Confirmation with price direction
priceConfirmUp = close > close
priceConfirmDown = close < close
// Final entry conditions
longCond = rsiBuyCond and priceConfirmUp
shortCond = rsiSellCond and priceConfirmDown
//------------------------------------------------------
// ๐งพ STRATEGY EXECUTION
//------------------------------------------------------
if longCond and strategy.position_size <= 0
strategy.entry("BUY", strategy.long)
if shortCond and strategy.position_size >= 0
strategy.entry("SELL", strategy.short)
// Opposite signal exit
if strategy.position_size > 0 and shortCond
strategy.close("BUY", comment="Opposite RSI Retest Exit")
if strategy.position_size < 0 and longCond
strategy.close("SELL", comment="Opposite RSI Pullback Exit")
//------------------------------------------------------
// ๐ VISUALS
//------------------------------------------------------
plot(emaPrice, "EMA", color=color.new(color.teal, 0), linewidth=2)
// Triangles
plotshape(showLabels and longCond, title="Buy", style=shape.triangleup, location=location.belowbar,
color=color.new(color.green, 0), size=size.small, text="BUY")
plotshape(showLabels and shortCond, title="Sell", style=shape.triangledown, location=location.abovebar,
color=color.new(color.red, 0), size=size.small, text="SELL")
// Background zones
bgcolor(showZones and trendUp and rsiValue < pullbackBuy ? color.new(color.green, 85) : na)
bgcolor(showZones and trendDn and rsiValue > pullbackSell ? color.new(color.red, 85) : na)
//------------------------------------------------------
// ๐ ALERTS
//------------------------------------------------------
alertcondition(longCond, title="BUY Triggered", message="RSI Pullback Retest โ BUY Signal")
alertcondition(shortCond, title="SELL Triggered", message="RSI Retest Pullback โ SELL Signal")
//------------------------------------------------------
// ๐ง NOTES
//------------------------------------------------------
// โ
Live, non-repainting RSI pullback logic
// BUY: RSI crosses back above pullback zone while price above EMA
// SELL: RSI crosses back below retest zone while price below EMA
// Simple, effective continuation system for trend pullback entries
// Works on all timeframes (NIFTY, BANKNIFTY, Stocks, Crypto)
Analisis Teknikal
MAD Supertrend [Alpha Extract]A sophisticated SuperTrend implementation that replaces traditional ATR calculations with Mean Absolute Deviation methodology for adaptive volatility measurement and band construction. Utilizing SMA baseline with MAD-based deviation bands and optional adaptive factor adjustments, this indicator delivers institutional-grade trend detection with strength-based filtering and dynamic visual feedback. The system's MAD approach provides superior noise reduction compared to ATR while maintaining responsiveness to genuine volatility changes, combined with momentum-based strength calculations for high-conviction signal generation.
๐ถ Advanced MAD-Based Band Construction
Implements Mean Absolute Deviation calculation as volatility proxy, measuring absolute price deviations from mean and smoothing for stable band generation without ATR dependency. The system calculates SMA baseline, computes MAD from configurable lookback period, applies factor multipliers to create upper and lower bands, then implements classic SuperTrend ratcheting logic where bands only adjust when price violates previous levels or calculations warrant updates.
// Core MAD SuperTrend Framework
SMA_Value = ta.sma(src, SMA_Length)
Mean = ta.sma(src, MAD_Length)
Abs_Deviation = abs(src - Mean)
MAD_Value = ta.sma(Abs_Deviation, MAD_Length)
// Band Construction with Ratcheting
Upper_Band = SMA_Value + MAD_Factor * MAD_Value
Lower_Band = SMA_Value - MAD_Factor * MAD_Value
// Ratcheting logic prevents premature band adjustments
๐ถ Adaptive Factor Adjustment Engine
Features optional adaptive multiplier system that modulates MAD factor based on normalized MAD magnitude relative to recent extremes, creating bands that automatically expand during high-volatility regimes and contract during consolidation. The system applies min-max normalization to MAD values over configurable lookback, multiplies by adaptation parameter, and adds to base factor for dynamic volatility sensitivity without manual recalibration.
๐ถ Momentum-Based Strength Filter
Implements sophisticated strength calculation measuring price momentum relative to baseline divided by volatility-adjusted MAD bands, producing normalized 0-1 strength scores with exponential smoothing. The system calculates distance from SMA baseline, normalizes by MAD-derived band width, and applies configurable minimum threshold requiring sufficient momentum before trend signals activate, filtering weak or choppy market conditions.
๐ถ SuperTrend Direction Logic
Utilizes classic SuperTrend methodology adapted for MAD bands where trend direction flips on opposite band violations with state persistence until confirmation. The system tracks whether price closes above upper band (bearish flip to bullish) or below lower band (bullish flip to bearish), maintains directional state until opposing violation occurs, and generates binary +1/-1 trend signals suitable for systematic position management.
๐ถ Intelligent Candle Sticking System
Provides advanced line positioning option that anchors SuperTrend line to candle wicks or bodies rather than pure calculation values for enhanced visual clarity. The system supports two modes: Wick (positions at high/low extremes based on trend direction) and Body (constrains line between calculation and candle extremes), creating cleaner chart presentation while maintaining mathematical integrity of underlying signals.
๐ถ Dynamic Gradient Visualization Framework
Implements color intensity modulation based on smoothed strength calculations, transitioning from muted to vivid hues as momentum conviction increases. The system applies gradient interpolation using strength ratio, creating visual feedback where strong trending moves display intense colors while weak or consolidating conditions show faded tones across trend line, channel bands, and candle coloring for immediate regime assessment.
๐ถ MAD Channel Architecture
Features volatility-adjusted channel bands centered on baseline or candle-stuck line with configurable multiplier for support/resistance visualization. The system calculates upper and lower bounds using MAD values scaled by adaptive factors and channel multipliers, applies dynamic transparency based on trend strength, and creates filled regions that intensify during strong trends and fade during weak conditions.
๐ถ Multi-Layer Glow Effect System
Provides sophisticated line rendering with triple-layer plot system creating glow effect through progressively wider and more transparent outer layers. The system plots core trend line at specified width with full color intensity, adds inner glow layer at +2 width with moderate transparency, and outer glow at +4 width with higher transparency, creating visual depth and emphasis without cluttering chart space.
๐ถ Strength-Based State Management
Implements intelligent trend state logic requiring both directional signal and minimum strength threshold breach before confirming trend transitions. The system calculates raw SuperTrend direction, evaluates smoothed strength against configurable minimum, generates filtered trend state that can be bullish (+1), bearish (-1), or neutral (0), and maintains state persistence using hold logic that prevents oscillation during ambiguous conditions.
๐ถ Comprehensive Alert Integration
Generates trend flip alerts when filtered state transitions from bearish to bullish or bullish to bearish with full confirmation requirements satisfied. The system detects state changes through comparison with previous bar, triggers single alert per transition rather than continuous notifications, and provides customizable message templates for automated trading system integration or manual notification preferences.
๐ถ Performance Optimization Architecture
Utilizes efficient calculation methods with null value handling, nz() functions preventing errors during initialization bars, and optimized gradient calculations. The system includes intelligent state persistence minimizing recalculation overhead, streamlined MAD computation avoiding redundant mean calculations, and smooth visual updates maintaining consistent performance across extended historical periods.
This indicator delivers sophisticated SuperTrend analysis through Mean Absolute Deviation methodology providing superior statistical properties compared to traditional ATR-based approaches. MAD calculations offer more robust volatility measurement resistant to extreme outliers while maintaining sensitivity to genuine market regime changes. The system's adaptive factor adjustment, momentum-based strength filtering, and dynamic visual feedback make it essential for traders seeking reliable trend-following signals with reduced false breakouts during choppy conditions. The combination of MAD bands, candle-sticking options, gradient strength visualization, and comprehensive filtering creates institutional-grade trend detection suitable for systematic approaches across cryptocurrency, forex, and equity markets with clear entry/exit signals and comprehensive alert capabilities.
Support & Resistance Automated๐ Support and Resistance Automated (Pivot-Based)
Support and Resistance Automated is a lightweight and fully automated indicator that plots key support and resistance levels using pivot highs and pivot lows. It helps traders quickly identify important price reaction zones without manual drawing.
This indicator is especially useful for price-action traders, swing traders, and intraday traders who rely on clean charts and objective levels.
๐ How It Works
Pivot Highs โ Resistance Levels
Pivot Lows โ Support Levels
Each detected pivot creates a horizontal dotted line that extends forward, allowing you to observe how price reacts over time.
Once a level is formed, it is kept permanently on the chart โ no repainting, no disappearing levels.
โ๏ธ Customizable Settings
You can easily adjust:
Left & Right Pivot Bars โ control how strong a pivot must be
Line Extension Length
Line Width
Support & Resistance Colors
Show / Hide Pivot Highs and Pivot Lows independently
This flexibility allows the indicator to adapt to intraday, swing, or higher-timeframe analysis.
โ
Key Features
โ Fully automatic support & resistance detection
โ Based on proven pivot-point logic
โ No repainting
โ Clean, minimal chart appearance
โ Unlimited support & resistance levels
โ Works on all timeframes & instruments
๐ Best Use Cases
Identifying key demand and supply zones
Planning entries, targets, and stop-losses
Confluence with price action, RSI, moving averages
Breakout and rejection-based strategies
Smart Money Volume Index [AlgoAlpha]๐ OVERVIEW
This script measures buying and selling interest by comparing how price behaves on rising volume versus falling volume. It separates what is often called โsmart moneyโ activity from more passive volume and turns that relationship into a normalized index. The result is an oscillator that shows whether buyers or sellers are in control, how strong that control is, and when interest reaches extreme levels that tend to matter for reversals or continuations.
๐ CONCEPTS
The calculation starts by splitting volume flow into two streams. Positive Volume Index (PVI) reacts when volume expands, while Negative Volume Index (NVI) reacts when volume contracts. Each stream is detrended with a long EMA and passed through an RSI calculation to express relative pressure. These two RSIs are then compared as ratios to estimate buy-side and sell-side interest. The values are summed over a rolling window and normalized against historical peaks so the output stays bounded and comparable across markets. In simple terms: relative behavior on high-volume vs low-volume bars defines interest , and normalization makes that interest readable over time.
๐ FEATURES
Two display modes: Compare (separate buy and sell interest) and Net (single combined oscillator)
High-interest threshold zones with visual highlights
Alert conditions for threshold crosses and zero-line shifts
๐ USAGE
Setup : Add the script to your chart. Choose Net mode for a clean momentum-style read, or Compare mode to see buy and sell interest separately. Start with the default periods, then adjust the Index Period to control how much history is included.
Read the chart : Values above zero mean buy-side interest dominates; below zero means sell-side interest dominates. In Compare mode, the green line tracks buying interest and the red line tracks selling interest. When either side pushes beyond the high-interest threshold, participation is elevated and moves tend to be more meaningful.
Settings that matter : Increasing the Index Period smooths the index and focuses on longer participation trends. Changing the Volume Flow Period alters how sensitive the RSI-based pressure is. The High Interest Threshold controls how selective extreme signals are and directly affects alerts and zone highlights.
The Bubble Strategy By HoneyMoneyFX๐ข The Bubble Strategy by HoneyMoneyFX
The Bubble Strategy is built to help traders instantly understand market bias across multiple timeframes, allowing for clearer, faster, and more confident trading decisions โ without constantly switching charts.
๐ Multi-Timeframe Info Panels
The indicator displays info panels for multiple timeframes at once, showing whether each timeframe is in:
LONG (bullish)
SHORT (bearish)
CONSOLIDATION
This makes it easy to see the overall structure and direction of price, helping traders align lower-timeframe entries with higher-timeframe momentum.
๐ฏ Buy & Sell Signals (High-Probability Entries)
Buy and Sell signals appear only when price enters both:
a 4H Bubble
and a 15-Minute Bubble
of the same type (both LONG or both SHORT)
This ensures signals are taken in the direction of higher-timeframe bias, not against it.
Signal Logic
BUY signal โ 4H LONG + 15m LONG
SELL signal โ 4H SHORT + 15m SHORT
๐ Risk Management (Fixed & Simple)
Stop-Loss: EMA 200 (purple line)
Base Risk-Reward Ratio: 2.0R
This keeps risk management consistent and rule-based.
๐ Risk-Reward Scaling with Confluence
The strategy allows higher risk-reward when market conditions are stronger.
RSI Rules
LONG positions
RSI must be below 61
RSI above 61 is considered overbought, weakening the setup
SHORT positions
RSI must be above 39
RSI below 39 is considered oversold, weakening the setup
Examples
Best-case scenario
All info panels from 1m โ 4H are GREEN
RSI across panels is below 61
๐ Risk-Reward of 4.0R or more is possible
Standard setup
Only 4H and 15m panels align
Average RSI below 61 (for longs)
๐ Risk-Reward = 2.0R
More alignment = stronger move = higher potential reward.
โ ๏ธ Important Trading Rule
It is strongly recommended to:
Trade ONLY inside 4H LONG or SHORT bubbles
NEVER trade during 4H CONSOLIDATION bubbles
This dramatically reduces false signals and improves consistency.
๐ Education & Strategy Guides
Detailed guides on how to correctly use the Bubble Strategy will be posted on:
TikTok
YouTube
Instagram
These guides will teach you how to:
Filter real signals from fake ones
Trade scalping and swing setups
Combine info panels, RSI, and structure properly
๐ Markets Supported
The Bubble Strategy works on:
โ
Forex (especially optimized)
โ
Stocks
โ
Crypto
Usable for scalping, day trading, and swing trading.
๐ Access & Trial
You can freely use The Bubble Strategy by purchasing access at:
๐ honeymoneyfx.com
Includes a 30-day free trial
Full access to all features during the trial
----------------------------------------------------------
Desclaimer -
Trading in financial markets involves significant risk and is not suitable for everyone.
The Bubble Strategy by HoneyMoneyFX is provided for educational and informational purposes only and does not constitute financial advice, investment advice, or a recommendation to buy or sell any financial instrument.
Past performance is not indicative of future results. Market conditions change, and no strategy can guarantee profits or eliminate risk entirely. Losses can exceed expectations if proper risk management is not applied.
All Buy and Sell signals generated by this indicator should be independently verified and used at your own discretion. You are fully responsible for your trading decisions, including risk sizing, stop-loss placement, and trade execution.
This indicator does not account for personal financial circumstances, risk tolerance, or trading experience. Always trade with capital you can afford to lose.
It is strongly recommended to:
Backtest the strategy thoroughly
Use proper risk management at all times
Avoid trading during unfavorable market conditions
By using this indicator, you acknowledge that HoneyMoneyFX and its affiliates are not liable for any losses, damages, or financial outcomes resulting from its use.
Confluence Framework ProConfluence Framework Pro is a discretionary market-context indicator that evaluates whether trend, structure, momentum, volume, and value are aligned in the same direction.
Instead of producing frequent entry signals, the script focuses on identifying periods of strong participation and avoiding low-quality or extended market conditions.
All calculations are performed on confirmed bar close and the indicator does not repaint.
How the indicator works
The framework evaluates eight independent components on every bar:
Trend & Direction
Supertrend direction
EMA position (price above/below long-term EMA)
Value
Distance of price from session VWAP using ATR-normalized thresholds
Momentum & Participation RSI slope and level (above/below 40)
Recent MACD crossover strength
ADX trend strength with DI confirmation
Volume Current volume compared to its moving average
Market Structure
Breakout of recent swing highs/lows using an ATR buffer
Each component contributes:
A binary match (used for minimum confluence requirements)
A weighted score (used for strength grading)
Confluence scoring & grading
Each condition contributes a fixed weight to a total score:
Supertrend (20%)
EMA alignment (18%)
VWAP context (17%)
ADX trend strength (16%)
MACD momentum (12%)
Market structure breakout (7%)
RSI participation (5%)
Volume confirmation (5%)
The final score is converted into a grade:
A+ / A โ strong multi-factor alignment
B โ partial alignment
C โ weak or early formation
The dominant side (bullish or bearish) becomes the displayed market bias.
Risk & market quality filters
Before any signal is allowed, the script blocks setups when:
Price is excessively far from EMA or VWAP (chasing condition)
Candle size is unusually large relative to ATR
Volume is below threshold
Market structure is weak
The dashboard displays the blocking reason (weak structure, low volume, big candle, or extended price).
Trading modes & risk profiles
Trading modes adjust indicator sensitivity:
Intraday: 5mโ15m
Swing: 1Hโ4H
Positional: Daily+
Risk profiles modify thresholds:
Aggressive โ earlier signals, looser filters
Balanced โ default
Conservative โ stronger confirmation, fewer signals
These settings affect ADX thresholds, minimum confluence count, volatility filters, and volume requirements.
Dashboard information
The on-chart dashboard displays:
Buy & sell scores
Current market bias
Market regime (Trending / Balanced / Chop)
Structure strength (Strong / Forming / Weak)
Setup context (Aligned / Wait)
Confluence grade
How to use
This indicator is intended as a market quality and bias filter, not a mechanical trading system.
Common uses:
Trade only in the direction of the displayed bias
Avoid entries when setup context is โWAITโ
Prefer A/A+ grades for continuation trades
Use structure state and regime to filter choppy markets
Best used alongside price action and risk management.
Important notes This is not an automated strategy
It does not provide take-profit or stop-loss levels
Alerts are contextual only
All trading decisions remain the userโs responsibility
Disclaimer
This indicator is provided for educational and informational purposes only and does not constitute financial advice. Past performance does not guarantee future results.
Volume-Adjusted CCI Trend [Alpha Extract]A sophisticated trend identification system that combines dual EMA direction analysis with volume-weighted normalization and CCI momentum filtering for comprehensive trend validation. Utilizing Volume RSI integration and standard deviation-based bands that expand and contract with volume characteristics, this indicator delivers institutional-grade trend detection with multi-layered confirmation requirements. The system's volume adjustment mechanism modulates signal sensitivity based on participation strength while CCI thresholds prevent false signals during weak momentum conditions, creating a robust trend-following framework with reduced whipsaw susceptibility.
๐ถ Advanced Dual EMA Direction Engine
Implements fast and slow exponential moving average comparison to establish primary trend direction bias with configurable period parameters for timeframe optimization. The system calculates trend direction as binary +1 (bullish when fast EMA exceeds slow EMA) or -1 (bearish when slow exceeds fast), providing foundational directional input that requires additional confirmation before generating actionable trend states.
๐ถ Volume-Adjusted Normalization Framework
Features sophisticated normalization calculation that measures price deviation from basis EMA, scales by standard deviation, then applies volume-weighted adjustment factor for participation-sensitive signal generation. The system calculates Volume RSI to quantify relative volume strength, converts to ratio format, and multiplies normalized deviation by volume factor scaled by impact parameter, creating signals that strengthen during high-volume confirmations and weaken during low-volume moves.
// Volume-Adjusted Normalization
Vol_Ratio = Volume_RSI / 50
Vol_Factor = 1 + (Vol_Ratio - 1) * Vol_Impact
Dev = src - Basis_EMA
Raw_Normalized = Dev / (StdDev * Multiplier)
Vol_Adjusted_Norm = Raw_Normalized * Vol_Factor
๐ถ CCI Momentum Filter Integration
Implements Commodity Channel Index threshold system with configurable upper and lower bounds to validate trend strength and filter sideways market conditions. The system calculates standard CCI with adjustable length, compares against asymmetric thresholds (default +100 bullish, -50 bearish), and requires CCI confirmation in addition to EMA direction and normalized deviation before transitioning trend states, ensuring only high-conviction signals generate entries.
๐ถ Multi-Layer Trend State Logic
Provides intelligent trend state machine requiring simultaneous confirmation from EMA direction, volume-adjusted normalization threshold breach, and optional CCI momentum validation. The system maintains persistent trend state that only transitions when all three conditions align, preventing premature reversals during temporary retracements or low-volume fluctuations while capturing genuine trend changes with institutional-grade confirmation requirements.
๐ถ Dynamic Volume Band Architecture
Creates volatility-adjusted bands around basis EMA using standard deviation multiplied by volume factor, producing channels that widen during high-volume periods and contract during low-volume consolidations. The system applies identical volume adjustment to band calculations as normalization metric, ensuring visual envelope consistency with underlying signal logic and providing intuitive reference boundaries for trend-following price action.
๐ถ Gradient Strength Visualization System
Implements color intensity modulation based on normalized signal strength relative to threshold requirements, creating visual feedback that communicates trend conviction. The system calculates strength ratio by dividing absolute normalized value by threshold, caps at 1.0, and applies gradient interpolation from muted to vivid colors, instantly conveying whether current trend exhibits marginal or strong characteristics through line and candle coloring.
๐ถ Volume RSI Calculation Engine
Utilizes RSI methodology applied to volume series rather than price to quantify relative participation strength with normalization to 0.5-1.5 range for factor multiplication. The system processes volume through standard RSI calculation, divides by 50 to center around 1.0, and produces ratio values where readings above 1.0 indicate above-average volume and below 1.0 suggest below-average participation for signal adjustment purposes.
๐ถ Asymmetric Threshold Configuration
Features separate positive and negative normalization thresholds with independent CCI upper and lower bounds enabling optimization for bullish versus bearish signal generation characteristics. The system defaults to symmetric normalized thresholds (ยฑ0.2) but asymmetric CCI levels (+100/-50), recognizing that bullish momentum often requires stronger confirmation than bearish reversals in typical market structures.
๐ถ Comprehensive Visual Integration
Provides multi-dimensional trend visualization through color-coded basis line, volume-adjusted bands with gradient fills, trend-synchronized candle coloring, and transition signal labels. The system enables selective display toggling for each visual component while maintaining consistent color scheme and strength-based intensity across all elements for cohesive chart presentation without overwhelming information density.
๐ถ Alert and Signal Framework
Generates trend change alerts when state transitions occur with all confirmation requirements satisfied, providing notifications for bullish (transition to +1) and bearish (transition to -1) signals. The system implements state change detection through comparison with previous bar trend state, ensuring single alert per transition rather than continuous notifications during sustained trends.
๐ถ Performance Optimization Architecture
Employs efficient calculation methods with null value handling for Volume RSI initialization and nz() functions preventing calculation errors during early bars. The system includes intelligent state persistence maintaining previous trend during ambiguous conditions and optimized gradient calculations balancing visual quality with computational efficiency across extended historical periods.
๐ถ Why Choose Volume-Adjusted CCI Trend ?
This indicator delivers sophisticated trend identification through multi-layered confirmation combining directional EMA analysis, volume-weighted normalization, and momentum validation via CCI filtering. Unlike traditional trend indicators relying solely on price-based calculations, the volume adjustment mechanism ensures signals strengthen during high-participation moves and weaken during low-volume drifts, reducing false breakouts and choppy market whipsaws. The system's requirement for simultaneous EMA direction, normalized threshold breach, and CCI momentum confirmation creates institutional-grade signal quality suitable for systematic trend-following approaches across cryptocurrency, forex, and equity markets. The volume-adjusted bands provide dynamic support/resistance references while the gradient strength visualization enables instant assessment of trend conviction for position sizing and risk management decisions.
Advanced Order Block Visualization ToolAdvanced Order Block Visualization Tool
Description:
This custom TradingView indicator is designed to enhance the visualization and analysis of order blocks across all timeframes. It accurately identifies and displays order blocks based on specific criteria, helping traders make informed decisions.
Key Features:
Accurate identification of order blocks using advanced algorithms
Improved visibility and clarity of order blocks, even on lower timeframes
Customizable settings to adapt to different trading styles and preferences
Intelligent filtering to display only the most relevant order blocks
Inclusion of internal order blocks for a comprehensive view of market structure
Efficient and optimized code for smooth performance
Usage Instructions:
Add the indicator to your TradingView chart
Customize the settings according to your preferences (e.g., input.int(), input.float(), etc.)
Analyze the displayed order blocks in conjunction with your trading strategy
Use the insights gained to make informed trading decisions
Note: This indicator is designed to aid in analysis and decision-making but does not constitute financial advice. Always use discretion and risk management when trading.
Feedback and Support:
If you encounter any issues, have suggestions for improvement, or need assistance, please feel free to contact me via the TradingView chat or leave a comment on the indicator's page. I appreciate your feedback and strive to continuously enhance the indicator's performance.
Happy trading!
Flow EMA [Stansbooth]Flow EMA is not just an averageโit's a flow predictor. It tracks the real-time strength and direction of the market, allowing traders to stay ahead of trend shifts. Whether the market is trending or consolidating, Flow EMA smoothly adapts to price action and reveals where the smart flow is moving. Perfect for traders who want clarity, confidence, and consistency.
Moving Averages 20, 50, 150, 200This indicator plots four commonly used Simple Moving Averages on the price chart: 20, 50, 150, and 200.
It is designed to help traders easily identify short-term, medium-term, and long-term trend direction, as well as key crossover events.
Features:
SMA 20 (purple) โ short-term momentum
SMA 50 (greenish) โ intermediate trend
SMA 150 (yellow) โ long-term bias
SMA 200 (orange) โ major trend direction
Visual crossover markers for:
SMA 20 / SMA 150
SMA 50 / SMA 200
The indicator uses Pine Scriptยฎ v6 and is fully compatible with the latest TradingView platform.
All moving average lengths can be customized in the settings.
This script is intended for trend analysis and confirmation and can be used across all markets and timeframes.
Swing Failure Signals [AlgoAlpha]๐ OVERVIEW
This script detects swing failure patterns by tracking how price interacts with recent swing highs and lows, then confirming those sweeps with a change in candle behavior. The goal is to highlight areas where price briefly breaks a key level, fails to continue, and then shifts direction. These events often occur around liquidity runs, where stops are triggered before price reverses. The script draws levels, colors bars, and prints clear markers to help visualize where these failures occur and when they are confirmed.
๐ CONCEPTS
The logic starts with pivot-based swing detection. Recent swing highs and lows are stored and monitored. When price trades beyond one of these levels within a defined historical window, it is treated as a sweep. A sweep alone is not enough. The script then waits for a Change in State of Delivery (CISD), which is defined by a shift in candle structure that shows follow-through in the opposite direction. A tolerance filter measures how far price traveled beyond the level relative to the reaction that followed. If the reaction is strong enough and happens within a limited number of bars, the sweep is validated as a swing failure. In short: the swing defines the reference, the sweep shows intent, and the CISD confirms acceptance or rejection.
๐ FEATURES
Sweep detection with a maximum lookback to avoid outdated levels
CISD confirmation using candle structure and price expansion
Alert conditions for bullish and bearish swing failures
๐ USAGE
Setup : Add the script to your chart. It works on any market and timeframe. Lower timeframes highlight intraday liquidity runs, while higher timeframes show structural failures. Start with the default inputs before adjusting.
Read the chart : A bullish swing failure occurs when price sweeps a prior low, then reverses and confirms with a bullish CISD. A bearish swing failure is the opposite, sweeping a prior high and confirming with a bearish CISD. Dashed lines mark the swept swing. Solid lines mark the CISD level. Bars are colored while the SFP state is active.
Settings that matter : Increasing Pivot Detection Length finds more significant swings but fewer signals. Reducing Max Pivot Point Edge limits how far back sweeps are allowed, keeping signals more current. The Patience setting controls how many bars are allowed for confirmation after a sweep. The Trend Noise Filter raises or lowers how strong the reaction must be to qualify as a valid failure.
Market Entropy [Alpha Extract]A sophisticated information theory-based market analysis system that measures price randomness and structural order using Shannon entropy calculations across price, returns, and volume distributions. Utilizing adaptive percentile-based thresholds and multi-timeframe confirmation, this indicator delivers institutional-grade regime classification distinguishing between structured trending conditions and chaotic ranging environments. The system's composite entropy framework combined with dynamic gradient visualization and MTF alignment validation provides comprehensive market state assessment for optimal strategy selection and risk management.
๐ถ Advanced Shannon Entropy Engine
Implements pure information theory methodology using histogram distribution analysis with configurable bin counts to calculate normalized entropy values for price, returns, and volume metrics. The system constructs probability distributions from rolling windows, applies logarithmic entropy calculations, and normalizes against theoretical maximum entropy to produce 0-1 bounded measurements of market randomness and predictability.
float entropy = 0.0
float total = float(len)
for i = 0 to bins - 1
float count = array.get(bin_counts, i)
if count > 0
float prob = count / total
entropy -= prob * math.log(prob) / math.log(2)
float max_entropy = math.log(bins) / math.log(2)
result := entropy / max_entropy
๐ถ Adaptive Percentile Threshold System
Features intelligent threshold determination using rolling percentile calculations over configurable calibration periods to establish structure and chaos zones that adapt to changing market characteristics. The system calculates lower percentile for structure threshold (ordered markets) and upper percentile for chaos threshold (random markets), enabling regime classification that adjusts automatically to market evolution.
๐ถ Multi-Timeframe Alignment Framework
Implements comprehensive MTF entropy analysis retrieving composite entropy from three configurable higher timeframes with alignment validation logic. The system calculates divergence between current timeframe entropy and higher timeframe values, generating confirmation signals only when all timeframes exhibit entropy agreement within tolerance bands for enhanced signal reliability.
๐ถ Three-Regime Classification Engine
Provides sophisticated market state determination classifying conditions as structure (entropy below lower threshold), chaos (entropy above upper threshold), or neutral (entropy between thresholds) with regime strength measurement. The system tracks regime transitions and calculates conviction scores based on distance from thresholds, enabling nuanced assessment of market order versus randomness.
๐ถ Composite Entropy Architecture
Combines three distinct entropy measurements weighted by relevance to create unified market randomness metric with exponential smoothing for stability. The system applies 40% weight to price entropy (distribution shape), 35% to return entropy (movement patterns), and 25% to volume entropy (participation randomness), capturing comprehensive market microstructure information.
๐ถ Dynamic Gradient Visualization System
Features advanced color blending engine that transitions between primary and secondary colors based on entropy momentum intensity with glow effects for conviction emphasis. The system calculates entropy rate of change, normalizes against recent extremes, and applies smooth color interpolation from secondary to primary hues as momentum intensifies, creating intuitive visual representation of regime strength.
๐ถ Intelligent Zone Fill Architecture
Implements multi-layer gradient fills within structure and chaos zones that intensify as entropy moves deeper into extremes, providing immediate visual feedback on regime conviction. The system creates three-tier gradient levels at 33%, 66%, and 100% penetration into zones with progressively lower transparency, emphasizing extreme entropy conditions requiring attention.
๐ถ Momentum-Based Divergence Detection
Generates entry signals when entropy crosses below bull divergence level or above bear divergence level, identifying potential regime transitions before price confirmation. The system monitors entropy momentum direction during threshold crossings and validates with MTF alignment, producing high-probability reversal signals at entropy extremes.
๐ถ Normalized Display Framework
Provides 0-100 scaled visualization using adaptive min-max normalization calculated from percentile analysis, ensuring consistent visual interpretation across different market conditions and instruments. The system transforms raw composite entropy into normalized space with dynamic thresholds, enabling cross-market and cross-timeframe entropy comparison.
๐ถ Regime Strength Measurement
Calculates conviction scores measuring depth of entropy penetration into structure or chaos zones relative to historical ranges, quantifying how definitively current conditions favor trending versus ranging strategies. The system produces 0-1 strength values that modulate visual intensity and can inform position sizing or strategy allocation decisions.
๐ถ Performance Optimization Framework
Utilizes efficient array operations with optimized histogram calculations and configurable lookback limits to balance accuracy with computational efficiency. The system includes intelligent caching of percentile calculations and streamlined probability summations for smooth real-time entropy updates across extended historical periods.
๐ถ Why Choose Market Entropy ?
This indicator delivers sophisticated market regime analysis through pure information theory methodology measuring actual randomness versus structure in price behavior. Unlike traditional volatility or trend indicators that measure price movement characteristics, Market Entropy quantifies the fundamental predictability of market conditions using Shannon entropy calculations. The system's composite approach combining price, return, and volume distributions with adaptive thresholds, MTF confirmation, and gradient visualization makes it essential for traders seeking objective regime classification to optimize strategy selection. Low entropy (structure zone) indicates ordered, trending conditions favorable for directional strategies, while high entropy (chaos zone) signals random, ranging markets better suited for mean reversion or reduced exposure. The indicator excels at identifying regime transitions before they become obvious in price action across cryptocurrency, forex, and equity markets.
SMA MAD Trend [Alpha Extract]A sophisticated trend identification system that combines Simple Moving Average with Mean Absolute Deviation methodology to create adaptive Super Trend-style bands with advanced strength filtering and gradient visualization. Utilizing ADX-based trend strength validation and slope analysis for signal quality enhancement, this indicator delivers institutional-grade trend detection with dynamic ATR-based ribbon visualization and comprehensive strength measurement. The system's dual-filter architecture eliminates false signals during weak or choppy market conditions while maintaining sensitivity to genuine trend establishment and reversal events.
๐ถ Advanced SMA-MAD Band Construction
Implements innovative Mean Absolute Deviation calculation around Simple Moving Average baseline to create volatility-adaptive bands with ratcheting logic for trend persistence. The system calculates MAD by measuring absolute price deviations from the mean, then applies configurable multipliers to generate upper and lower bands that adjust to changing market conditions while preventing premature band violations.
// Core SMA-MAD Framework
SMA_Value = ta.sma(close, SMA_Length)
Mean = ta.sma(close, MAD_Length)
Abs_Deviation = abs(close - Mean)
MAD_Value = ta.sma(Abs_Deviation, MAD_Length)
// Adaptive Bands
Upper_Band = SMA_Value + MAD_Factor * MAD_Value
Lower_Band = SMA_Value - MAD_Factor * MAD_Value
๐ถ Intelligent Dual-Filter System
Features comprehensive trend validation using ADX strength measurement and slope analysis to eliminate low-conviction signals during ranging or consolidating markets. The system calculates normalized slope strength using ATR scaling and combines with ADX threshold analysis, generating filtered trend states that distinguish genuine trends from temporary price fluctuations.
๐ถ Dynamic Trend Strength Engine
Implements sophisticated strength calculation combining slope intensity and ADX readings to produce normalized 0-100% strength scores with gradient colour intensity modulation. The system normalizes slope by minimum threshold and ADX by configurable level, multiplying factors to create composite strength measurement that drives visual feedback intensity across all indicator elements.
๐ถ Super Trend-Style Direction Logic
Utilizes classic Super Trend methodology adapted for SMA-MAD bands, where trend direction flips occur on opposite band violations with persistent state maintenance. The system tracks previous band levels with ratcheting behaviour that adjusts bands only when price movement or new calculations warrant changes, preventing oscillation during normal volatility.
๐ถ ATR-Based Ribbon Visualization
Provides dynamic ribbon overlay using ATR-scaled width around the trend line with opacity modulation based on trend strength for intuitive conviction assessment. The system creates upper and lower ribbon bounds at configurable ATR multiples, filling the channel with gradient-adjusted transparency that increases during strong trends and fades during weak conditions.
๐ถ Multi-Dimensional Visual Architecture
Provides complete chart integration through trend line overlay, ATR ribbon fills, candle colouring, background glow, and transition signal labels with configurable visibility toggles. The system enables traders to customize display density from minimal (trend line only) to comprehensive (all visual elements) while maintaining consistent colour scheme and strength-based intensity across components.
๐ถ Slope Strength Validation
Calculates ATR-normalized slope over configurable lookback periods to measure trend line momentum and filter sideways price action. The system compares absolute slope against minimum threshold requirements, preventing trend signals when price movement relative to the trend line lacks sufficient directional conviction regardless of band position.
๐ถ Signal Generation Framework
Generates trend change signals when filtered direction state transitions from bearish to bullish or vice versa, with label placement and alert integration. The system implements state persistence that maintains previous trend until both ADX and slope filters confirm directional change, reducing whipsaw signals while capturing genuine reversals with minimal lag.
๐ถ Performance Optimization Framework
Utilizes efficient calculation methods with optimized variable management and configurable parameters for balance between responsiveness and stability. The system includes intelligent state tracking with NA handling for initial bars and smooth gradient calculations that maintain performance across extended historical periods and real-time updates.
This indicator delivers sophisticated trend identification through Mean Absolute Deviation methodology combined with dual-strength filtering for superior signal quality. Unlike traditional Super Trend indicators that rely solely on ATR bands, the SMA-MAD approach uses statistical deviation measurement while incorporating ADX strength and slope validation to eliminate false signals during choppy conditions. The system's gradient-based visual feedback, ATR ribbon visualization, comprehensive dashboard, and multi-dimensional filtering make it essential for traders seeking reliable trend-following approaches with clear conviction measurement across cryptocurrency, forex, and equity markets. The combination of adaptive bands, strength-based transparency, and intelligent filtering creates an institutional-grade trend system suitable for systematic trading strategies.
Orderblock Footprints [AlgoAlpha]๐ OVERVIEW
This script highlights orderblocks and then drills into what actually trades inside them. Zones are created only after an abnormal directional impulse, measured with a z-score on consecutive candle bodies, so the orderblocks are tied to real expansion rather than simple pivots. Once a zone exists, the script overlays lower-timeframe volume footprints inside the candle when price trades back into that zone. The goal is to show not just where an orderblock sits, but whether price is being accepted or absorbed when it is revisited.
๐ CONCEPTS
Orderblocks are detected after extreme bullish or bearish impulses. The script tracks consecutive body movement up or down, normalizes that distance with a rolling z-score, and only triggers when the move is statistically large. The last opposite candle before that impulse defines the orderblock range. These zones then extend forward until they are either mitigated by price closing through them or they expire by age.
Inside an active zone, the script switches to a lower timeframe and builds a footprint-style profile for each bar. Each candle is split into price rows, counting time-at-price and volume delta. Positive and negative delta are colored separately. Absorption is flagged when opposing delta prints appear in the wick that rejects the zone. In practice: the impulse defines context ; the footprint shows interaction .
๐ FEATURES
Separate bullish and bearish zones with automatic extension
Volume split inside each zone candle (up vs down volume)
Lower-timeframe footprint with TPO-style rows and delta gradient
Absorption detection using opposing delta in rejection wicks
Alerts for zone creation and absorption events
๐ USAGE
Setup : Add the script to your chart. It works on any market and timeframe. The lower timeframe for footprints is fixed at 5 minutes, so higher chart timeframes show clearer structure. Use the Z-Score Window to control how strict impulse detection is and Max Box Age to limit how long old zones stay on the chart.
Read the chart : Bullish orderblocks are created after strong upward impulses and are invalidated when price closes below them. Bearish orderblocks are created after strong downward impulses and are invalidated when price closes above them. When price trades inside a zone, footprint rows appear. Green-tinted rows show positive delta; red-tinted rows show negative delta. Absorption labels appear when opposing delta prints into a rejecting wick.
Settings that matter : Increasing the Z-Score Window makes orderblocks rarer but more significant. Disabling Prevent Overlap allows stacked zones if you want to study clustering. Adjusting Rows per bar changes footprint resolutionโlower values are cleaner, higher values show more detail but use more objects.
Market Analysis Pro [Trademy]OVERVIEW
Trademy Market Analysis Pro is a professional-grade trading system that combines advanced momentum analysis with institutional-level Supply/Demand zone mapping. This indicator is designed to provide crystal-clear market analysis with precise risk management tools, creating a complete trading framework within a single, streamlined interface.
Unlike complex indicators that overwhelm traders with information, Trademy focuses on what matters: high-probability setups with clear entry points, defined risk levels, and multiple profit targets. The system is built to eliminate guesswork and provide actionable signals that work across multiple timeframes and asset classes eg: ( INDEX:BTCUSD , NASDAQ:NVDA and more )
CORE CONCEPTS
Advanced Momentum Engine: The foundation of Trademy Market Analysis Pro is a proprietary momentum detection system that identifies true directional shifts in the market. The algorithm analyzes price behavior relative to volatility-adjusted dynamic levels, generating signals only when genuine momentum reversals occur. The "Signal Sensitivity" control allows you to adapt the system from conservative (fewer, higher-quality signals) to aggressive (more frequent opportunities) based on your trading style and market conditions.
Institutional Supply/Demand Zones: The system automatically identifies and plots key institutional levels where significant buying (Demand) or selling (Supply) pressure has occurred. These zones are calculated using advanced price structure analysis, filtered through intelligent overlap detection to ensure only the most relevant zones appear on your chart. When price approaches these levels, they often act as strong support or resistance, providing logical areas for entries and exits.
Intelligent Signal Classification: Not all signals are created equal. Trademy categorizes every signal as either "Normal" or "Strong" based on its alignment with the broader market structure and trend context. Strong signals represent higher-conviction setups where momentum and trend align perfectly, while normal signals indicate counter-trend or early reversal opportunities.
Non-Repainting Architecture: Every signal is locked in at bar close (when enabled), and all TP/SL levels are calculated using volatility measurements captured at the moment of signal generation.
KEY FEATURES
Precision Signal System
Dual Signal Modes: Choose between Normal signals (standard momentum reversals) or Strong signals (high-conviction trend-aligned setups), or view both simultaneously
Wait for Bar Close: Optional no-repaint mode ensures signals only appear after candle confirmation
Visual Signal Hierarchy: Normal signals shown with standard arrows (โฒ/โผ), Strong signals marked with distinctive colors for instant recognition
Adjustable Arrow Sizes: Customize signal display from tiny to large based on your chart preferences
Professional Risk Management
Automated TP/SL Calculation: Three take-profit levels (TP1, TP2, TP3) and one stop-loss level automatically calculated using advanced volatility measurement
Fixed Risk Levels: TP/SL lines are locked at signal generation and never moveโproviding consistent, reliable risk parameters
Visual Risk Zones: Optional colored zones highlight your risk and reward areas for instant position assessment
Adjustable Risk Multiplier: Scale your targets up or down with a single parameter while maintaining proper risk-reward ratios
Clear On-Chart Labels: Every level displays exact price values in an easy-to-read format
Supply/Demand Zone Mapping
Automatic Zone Detection: System identifies high-probability supply and demand zones using advanced price structure analysis
Anti-Overlap Algorithm: Intelligent filtering prevents zone clutter by removing overlapping levels
Extended Zone Projection: Zones extend into the future, showing you key levels before price reaches them
Break-of-Structure Tracking: Monitors when zones are broken and removes invalidated levels
Fully Customizable: Adjust zone colors, swing length, history depth, and box width to match your analysis style
Visual Customization
Flexible Color Schemes: Customize colors for bull/bear signals, TP/SL levels, and supply/demand zones
Trend Background: Optional background coloring to instantly visualize the current market bias
Support/Resistance Lines: Toggle automatic S/R level plotting from key price pivots
Multiple Arrow Sizes: Choose from tiny, small, normal, or large signal arrows
WHAT MAKES TRADEMY MARKET ANALYSIS PRO DIFFERENT
โ
Simplicity Meets Power
โ
TP/SL Levels
โ
Institutional Zone Integration
โ
Universal Indicator for all markets
โ
Multi-Timeframe Flexibility
BEST PRACTICES
๐ Always Use Stop-Loss: Enable the TP/SL system and respect your stop-loss levels,risk management is key to long-term success
๐ Backtest First: Before live trading, replay historical charts to understand signal behavior on your specific asset and timeframe
๐ Combine Timeframes: Use higher timeframe signals as your bias, enter on lower timeframe signals in the same direction
๐ Watch the Zones: Highest probability setups occur when signals align with supply/demand zones (buy near demand, sell near supply)
๐ Don't Chase: If you miss a signal, wait for the next one,forcing trades leads to losses
๐ Partial Profits: Consider taking partial profits at TP1, moving stop to breakeven, and letting the rest run to TP2/TP3
๐ฉ ACCESS & SUPPORT
This is an invite-only indicator. For access inquiries, please contact via TradingView private message.
Important Disclaimers:
This indicator is a tool for technical analysis and does not constitute financial advice
Past performance does not guarantee future results
Always practice proper risk management and never risk more than you can afford to lose
Trading carries substantial risk of loss and is not suitable for all investors
Liquidation Heatmap [Alpha Extract]A sophisticated liquidity zone visualization system that identifies and maps potential liquidation levels based on swing point analysis with volume-weighted intensity measurement and gradient heatmap coloring. Utilizing pivot-based pocket detection and ATR-scaled zone heights, this indicator delivers institutional-grade liquidity mapping with dynamic color intensity reflecting relative liquidity concentration. The system's dual-swing detection architecture combined with configurable weight metrics creates comprehensive liquidation level identification suitable for strategic position planning and market structure analysis.
๐ถ Advanced Pivot-Based Pocket Detection
Implements dual swing width analysis to identify potential liquidation zones at pivot highs and lows with configurable lookback periods for comprehensive level coverage. The system detects primary swing points using main pivot width and optional secondary swing detection for increased pocket density, creating layered liquidity maps that capture both major and minor liquidation levels across extended price history.
๐ถ Multi-Metric Weight Calculation Engine
Features flexible weight source selection including Volume, Range (high-low spread), and Volume ร Range composite metrics for liquidity intensity measurement. The system calculates pocket weights based on market activity at pivot formation, enabling traders to identify which liquidation levels represent higher concentration of potential stops and liquidations with configurable minimum weight thresholds for noise filtering.
๐ถ ATR-Based Zone Height Framework
Utilizes Average True Range calculations with percentage-based multipliers to determine pocket vertical dimensions that adapt to market volatility conditions. The system creates ATR-scaled bands above swing highs for short liquidation zones and below swing lows for long liquidation zones, ensuring zone heights remain proportional to current market volatility for accurate level representation.
๐ถ Dynamic Gradient Heatmap Visualization
Implements sophisticated color gradient system that maps pocket weights to intensity scales, creating intuitive visual representation of relative liquidity concentration. The system applies power-law transformation with configurable contrast adjustment to enhance differentiation between weak and strong liquidity pockets, using cyan-to-blue gradients for long liquidations and yellow-to-orange for short liquidations.
๐ถ Intelligent Pocket State Management
Features advanced pocket tracking system that monitors price interaction with liquidation zones and updates pocket states dynamically. The system detects when price trades through pocket midpoints, marking them as "hit" with optional preservation or removal, and manages pocket extension for untouched levels with configurable forward projection to maintain visibility of approaching liquidity zones.
๐ถ Real-Time Liquidity Scale Display
Provides gradient legend showing min-max range of pocket weights with 24-segment color bar for instant liquidity intensity reference. The system positions the scale at chart edge with volume-formatted labels, enabling traders to quickly assess relative strength of visible liquidation pockets without numerical clutter on the main chart area.
๐ถ Touched Pocket Border System
Implements visual confirmation of executed liquidations through border highlighting when price trades through pocket zones. The system applies configurable transparency to touched pocket borders with inverted slider logic (lower values fade borders, higher values emphasize them), providing clear historical record of liquidated levels while maintaining focus on active untouched pockets.
๐ถ Dual-Swing Density Enhancement
Features optional secondary swing width parameter that creates additional pocket layer with tighter pivot detection for increased liquidation level density. The system runs parallel pivot detection at both primary and secondary swing widths, populating chart with comprehensive liquidity mapping that captures both major swing liquidations and intermediate level clusters.
๐ถ Adaptive Pocket Extension Framework
Utilizes intelligent time-based extension that projects untouched pockets forward by configurable bar count, maintaining visibility as price approaches potential liquidation zones. The system freezes touched pocket right edges at hit timestamps while extending active pockets dynamically, creating clear distinction between historical liquidations and forward-projected active levels.
๐ถ Weight-Based Label Integration
Provides floating labels on untouched pockets displaying volume-formatted weight values with dynamic positioning that follows pocket extension. The system automatically manages label lifecycle, creating labels for new pockets, updating positions as pockets extend, and removing labels when pockets are touched, ensuring clean chart presentation with relevant liquidity information.
๐ถ Performance Optimization Framework
Implements efficient array management with automatic clean-up of old pockets beyond lookback period and optimized box/label deletion to maintain smooth performance. The system includes configurable maximum object counts (500 boxes, 50 labels, 100 lines) with intelligent removal of oldest elements when limits are approached, ensuring consistent operation across extended timeframes.
This indicator delivers sophisticated liquidity zone analysis through pivot-based detection and volume-weighted intensity measurement with intuitive heatmap visualization. Unlike simple support/resistance indicators, the Liquidation Heatmap combines swing point identification with market activity metrics to identify where concentrated liquidations are likely to occur, while the gradient color system instantly communicates relative liquidity strength. The system's dual-swing architecture, configurable weight metrics, ATR-adaptive zone heights, and intelligent state management make it essential for traders seeking strategic position planning around institutional liquidity levels across cryptocurrency, forex, and futures markets. The visual heatmap approach enables instant identification of high-probability reversal zones where cascading liquidations may trigger significant price reactions.
Trend Tracer [AlgoAlpha]๐ OVERVIEW
This tool builds a two-stage trend model that reacts to structure shifts while also showing how strong or weak the move is. It uses a mid-price band (from the highest high and lowest low over a lookback) and applies two Supertrend passes on top of it. The first pass smoothens the basis. The second pass refines that direction and produces the final trail used for signals. A gradient fill between the two trails uses RSI of price-to-trail distance to show when price is stretched or cooling off. The aim is to give traders a simple way to read trend alignment, pressure, and early turns without guessing.
๐ CONCEPTS
The script starts with a mid-range basis. This is the average of the rolling highest high and lowest low. It acts as a stable structure reference instead of raw close or typical price. From there, two Supertrend layers are applied:
โข The first Supertrend uses a shorter ATR period and lower factor. It reacts faster and sets the main regime.
โข The second Supertrend uses a slightly longer ATR and higher factor. It filters noise, waits for confirmed continuation, and generates the signal line.
The interaction between these trails matters. The outer Supertrend provides context by defining the broader regime. The inner Supertrend provides timing by flipping earlier and marking possible shifts. The gradient fill uses RSI of (close โ supertrend value) to display when price stretches away from the trail. This shows strength, exhaustion, or compression within the trend.
๐ FEATURES
Bullish and bearish flip markers placed at recent highs/lows
Rejection signals off the trend tracer line
Alerts for bullish and bearish trend changes
๐ USAGE
Setup : Add the script to your chart. Timeframe is flexible; lower timeframes show more flips while higher ones give cleaner swings. Adjust Length to change how wide the basis range is. Use the two ATR settings and factors to match the volatility of the market you trade.
Read the chart : When the refined trail (stv_) sits above price the regime is bearish; when below, it is bullish. The wide trail (stv) confirms the larger move. Watch the gradient fill: darker colors appear when price is stretched from the trail and lighter colors appear when the move is weakening. Flip markers โฒ or โผ highlight the first clean shift of the refined trail.
Settings that matter : Increasing the Main Factor slows main-trend flips and filters chop. Increasing the Signal Factor delays the timing trail but reduces noise. Shortening Length makes the basis more reactive. ATR periods change how sensitive each Supertrend pass is to volatility.
Structure Breakout - Buy Sell IndicatorStructure Breakout - Buy Sell Indicator
๐ OVERVIEW:
A minimalist indicator that identifies market structure breakouts using swing point analysis.
Displays clear blue buy arrows and red sell arrows when price breaks key swing levels.
๐ง HOW IT WORKS:
1. Identifies swing highs and lows using configurable lookback period
2. Triggers BUY signal (blue arrow) when price closes above previous swing high
3. Triggers SELL signal (red arrow) when price closes below previous swing low
4. Uses clean visual arrows without cluttering the chart
โ๏ธ KEY FEATURES:
โข Clean, uncluttered visual signals
โข Customizable sensitivity period
โข Blue arrows for buy signals (below bars)
โข Red arrows for sell signals (above bars)
โข No lagging repainting
โข Works on all timeframes
๐ฏ TRADING APPLICATIONS:
โข Swing trading entries
โข Breakout confirmation
โข Trend continuation signals
โข Support/resistance breaks
โก SETTINGS:
โข Structure Detection Period (default: 20) - Adjust sensitivity of swing detection
โ ๏ธ RISK DISCLAIMER:
This is an educational tool. Always use proper risk management.
Past performance does not guarantee future results.
Triple Screen System [FlexibleMAs MACD-RSI-ADX]#### Triple Screen System (TSS-FMR)
The TSS-FMR script is a specialized, multi-timeframe confirmation tool built for Swing, Positional Traders, and Longer Term Investors. It is engineered to filter out low-conviction noise by implementing an advanced interpretation of the Elder's Triple Screen strategy, relying on proprietary momentum, volatility, and volume analysis to isolate high-probability setups.
---
#### ๐ง Core Methodology & Logic
The TSS-FMR synthesizes three distinct layers of confirmation to generate signals:
1. Macro Trend & Volatility: Determines the primary trend and overall market condition using configurable EMA+RSI metrics , the script uses Average Directional Index (ADX) as an internal component to filter out non-trending, consolidating market conditions.
2. Momentum Synchronization: A proprietary filter requiring MACD,MAs and RSI to be synchronized * within a specified bar window (`MACD/RSI Sync Window`) ensures that entries align with current short-term momentum shifts.
3. Volume & Price Action: Final entry is triggered only when the higher timeframes align and the entry timeframe (Daily or 4H) confirms the move, optionally requiring * Candle Confirmation * and filtering out low-quality trades using the * Volume Filter *
The key is the separation of input thresholds and lengths for Weekly and Daily lookbacks, allowing for precise tuning unavailable in standard public libraries.
---
#### ๐ฏ Understanding Signal Strength & Conviction
Signals are categorized using a proprietary Strength scale (from Overbought/Oversold to 6) to help traders gauge the potential size and probability of the momentum move, This scale is dynamically influenced by the ADX volatility readings.
#### ๐ Integrating External Visual Tools (Addressing Rule: Vendor/Chart)
The TSS-FMR generates signals based solely on its internal logic and inputs .*
We recommend overlaying the TSS-FMR signals with external tools (such as the Lux Algo SmartMoneyConcepts indicator or similar public S/R tools) for visual confirmation only :
* Signals (2, 3, 4) + CHOCH/BOS: * A signal with lower internal strength (2-4) gains stronger conviction if it aligns precisely with a CHOCH or BOS event visually identified by the external tool. This confirms that the market structure is validating the script's momentum reading.
Zone Confirmation: When signals land precisely within visually defined Liquidity or Accumulation/Distribution Zones (provided by external visual tools), it adds significant conviction to the TSS-FMR's output.
The *Overbought/Oversold regions* are decided based on the script's internal strength calculation and prevailing price action.
#### Summary:
--- This script is for Swing, Positional Traders and Longer Term Investors
--- It will only work with Monthly,Weekly, Daily and 4H chart to help you make confirmation based positions.
--- Sell Signals are Overbought Exits and Short sell signals, Plan according to Weekly Signals and Daily signals
--- Use the Momentum Table/matrix at the right top of the chart when TSS indicator is active.
--- Use Volume Filter enable to remove chaos of signals
--- Keep *Lux Algo -SmartMoneyConcepts* indicator active for visual of zones
--- Adjust Volume Filter in Settings to avoid crowding of signals
--- Adjust Input signal length to select number of history bars
--- Watch-out for Weekly 100ema Line and
--- Watch-out for Sell Signals, in discount region they are marked as Buy oversold or moderate, vise versa Sell Overbought signals are added to the charts.
--- To earn money, we need to look out for early signals, fake breakouts, breakdowns and what we want the table/matrix turning all green or red in Momentum trades.
---
#### House Rule Compliance Statement
This script description is provided strictly for technical clarity. It is free from all promotional content, external links, contact information, social media references, and solicitations, as per TradingView's General House Rule #2. The justification for its closed-source nature is based on its proprietary signal synchronization logic and flexible, multi-timeframe implementation.
Gold Fair Value [Alpha Extract]Gold-anchored Bitcoin fair value model is a macro-fundamental valuation indicator that anchors Bitcoin price assessment to gold market dynamics, establishing fair value zones through percentage change influence modelling and adaptive band multipliers. This overlay system provides institutional-grade context for identifying accumulation zones, distribution zones, and fair value equilibrium across all market cycles with minimal chart clutter through sophisticated gradient fill visualization.
๐ถ Gold-Anchored Valuation Framework
Establishes Bitcoin's theoretical fair value by integrating daily gold price movements into a smoothed asset baseline, applying percentage change calculations over configurable periods to measure gold's momentum influence. The system translates gold's relative strength or weakness into Bitcoin price expectations through adjustable influence multipliers, creating a dynamic fair value line that adapts to shifting macro-fundamental relationships between digital and traditional store-of-value assets.
๐ถ Multi-Layer Statistical Band System
Implements asymmetric upper and lower band multipliers applied to the fair value baseline, creating five distinct valuation zones: extreme overvaluation, moderate overvaluation, fair value equilibrium, moderate undervaluation, and extreme undervaluation. The asymmetric configuration (default 1.46x upper, 0.74x lower) reflects Bitcoin's historical tendency toward asymmetric volatility patterns with more violent upside moves and grinding downside action, optimizing zone accuracy for actionable trading decisions.
๐ถ Gradient Fill Visualization
Employs sophisticated transparency-based gradient fills between bands to create visually intuitive valuation heat maps, with darker orange shading indicating proximity to fair value and lighter shading showing extreme deviation zones. The system maintains chart readability by hiding individual band lines while preserving the filled zones, eliminating visual clutter while delivering maximum information density for rapid market assessment without overwhelming the trader with excessive line plots.
๐ถ Historical Context & Position Management
The lower band zones have historically preceded periods of constructive price behavior including consolidation phases and early-stage recovery rallies, while upper band interactions have preceded distribution and correction events. This historical pattern recognition enables traders to position proactively based on valuation extremes rather than reactively chasing momentum, supporting systematic accumulation during undervaluation periods and graduated profit-taking during overvaluation extremes.
All analysis provided by Alpha Extract is for educational and informational purposes only. The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations.
Vantage-X (2.0)Vantage-X (2.0) โ The Clean-Chart Trading Dashboard
Vantage-X (2.0) is a next-generation, all-in-one chart optimization dashboard designed for traders who want clarity, precision, and zero clutter. Whether you scalp, day trade, or swing trade, this indicator removes the noise and gives you the exact market signals that matter, all from one clean, minimal interface.
Built for traders who are tired of overcrowded charts filled with lines, clouds, bands, and unnecessary indicators, Vantage-X (2.0) brings everything together into a powerful visual dashboard โ so you can focus on price action, not distraction.
โธป
๐น Whatโs New in Version 2.0
Vantage-X (2.0) adds several high-value trend-tracking systems to improve timing, confirmation, and momentum detection:
โข EMA 50 / EMA 200 Cross
A classic long-term momentum and directional bias filter.
Perfect for identifying macro trend shifts or avoiding trades against the dominant trend.
โข EMA 20 / EMA 50 Cross
A medium-term trend confirmation system used by professional intraday traders to time pullbacks, continuations, and structure-based setups.
โข EMA 5 / EMA 13 Cross
A fast-reaction signal for sudden bursts of volatility.
Ideal for scalpers catching early momentum, breakouts, retests, and reversal flips.
All three systems come with full toggles, so you can enable or disable any layer depending on your style.
All three EMA Crosses work on the current timeframe you are looking at.
โธป
๐น Core Purpose
The purpose of Vantage-X is simple:
Give traders a clean, powerful dashboard that replaces multiple indicators โ without ever touching the price chart.
No more overlapping lines.
No more stacked indicators taking up screen space.
No more analysis paralysis.
Just fast, easy, intuitive signals displayed in a compact table so you can instantly read the marketโs story.
โธป
๐น Features
โ Ultra-clean dashboard layout (does not clutter your chart)
โ Trend direction & EMA cross signals
โ Color-coded bias detection (bullish, bearish, neutral)
โ Adjustable toggle system for full customization
โ Works on all markets & timeframes
โ Designed for scalpers, day traders, and swing traders
โ Perfect for traders who rely on price action but still want smart confirmation
โธป
๐น Why Traders Love It
Vantage-X is built for the modern trader โ the type who values simplicity, clarity, and speed. Every feature in this dashboard is made to:
โข Reduce hesitation
โข Improve timing
โข Simplify decision-making
โข Keep charts visually clean
โข Remove emotional noise
โข Increase confidence in entries and exits
If you want a chart that stays clean but still gives high-precision market signals, Vantage-X is built for you.
โธป
๐น Free to Use โ For the Trading Community
Vantage-X (2.0) is completely free.
No paywalls. No locked features.
This release is my contribution to traders who want a cleaner, more efficient way to interpret the market without relying on a dozen indicators layered on top of each other.
โธป
๐น Final Notes
Vantage-X (2.0) is continuously evolving, and future versions will bring even more flexibility, signal refinement, and dashboard intelligence. Feedback is always welcomed โ I want this to be one of the most useful and clean charting tools available on TradingView.
๐ฅ {COMING SOON: You will be able to set different timeframes for each EMA cross Signal. So if you are looking at 5min timeframe but you want to know 15min 20/50 EMA cross. You will be able to adjust that in settings. SO NO SWITCHING BACK AND FORTH BETWEEN DIFFERENT TIMEFRAME CHARTS!!} ๐ฅ
SNP420/INDI/support_resist_future_levelFunctionality โ short description
The indicator automatically detects the latest pivot highs/lows and builds the current resistance and support levels from them. New levels start as candidate levels (dotted lines).
Using an ATR-based tolerance, it counts how many times price precisely tests and rejects the level (touch + reversal).
Once the minimum number of touches is reached, the level is marked as validated (solid line). The indicator also detects breakouts of S/R, colors breakout candles, projects a target level after the breakout, and highlights retests of the broken levels with boxes.
autor: SNP_420
project: FNXS
ps: Piece a love
Simple Line๐ Understanding the Basic Concept
The trend reverses only when the price moves up or down by a fixed filter size.
It ignores normal volatility and noise, recognizing a trend change only when price moves beyond a specified threshold.
Trend direction is visually intuitive through line colors (green: uptrend, red: downtrend).
โ๏ธ Explanation of Settings
Auto Brick Size: Automatically determines the brick/filter size.
Fixed Brick Size: Manually set the size (e.g., 15, 30, 50, 100, etc.).
Volatility Length: The lookback period used for calculations (default: 14).
๐ Example of Identifying Buy Timing
When the line changes from gray or red to green, it signals the start of an uptrend.
This indicates that the price has moved upward by more than the required threshold.
๐ Example of Identifying Sell Timing
When the line changes from green to red, it suggests a possible downtrend reversal.
At this point, consider closing long positions or evaluating short entries.
๐งช Recommended Use Cases
Use as a trend filter to enhance the accuracy of existing strategies.
Can be used alone as a clean directional indicator without complex oscillators.
Works synergistically with trend-following strategies, breakout strategies, and more.
๐ Notes & Cautions
More suitable for medium- to long-term trend trading than for fast scalping.
If the brick size is too small, the indicator may react to noise.
Sensitivity varies greatly depending on the selected brick size, so backtesting is essential to determine optimal values.
โ The Trend Simple Line focuses solely on directionโremove the noise and focus purely on the trend.
์ด๋ ์ ์ฉ ์คํฌ๋ฆฝํธ
์ด ์คํฌ๋ฆฝํธ์ ๋ํ ์ ๊ทผ์ด ์ ํ๋์ด ์์ต๋๋ค. ์ฌ์ฉ์๋ ์ฆ๊ฒจ์ฐพ๊ธฐ์ ์ถ๊ฐํ ์ ์์ง๋ง ์ฌ์ฉํ๋ ค๋ฉด ์ฌ์ฉ์์ ๊ถํ์ด ํ์ํฉ๋๋ค. ์ฐ๋ฝ์ฒ ์ ๋ณด๋ฅผ ํฌํจํ์ฌ ์ก์ธ์ค ์์ฒญ์ ๋ํ ๋ช
ํํ ์ง์นจ์ ์ ๊ณตํด ์ฃผ์ธ์.
์ด ๋น๊ณต๊ฐ ์ด๋ ์ ์ฉ ์คํฌ๋ฆฝํธ๋ ์คํฌ๋ฆฝํธ ๋ชจ๋๋ ์ดํฐ์ ๊ฒํ ๋ฅผ ๊ฑฐ์น์ง ์์์ผ๋ฉฐ, ํ์ฐ์ค ๋ฃฐ ์ค์ ์ฌ๋ถ๋ ํ์ธ๋์ง ์์์ต๋๋ค. ํธ๋ ์ด๋ฉ๋ทฐ๋ ์คํฌ๋ฆฝํธ์ ์๋ ๋ฐฉ์์ ์ถฉ๋ถํ ์ดํดํ๊ณ ์์ฑ์๋ฅผ ์์ ํ ์ ๋ขฐํ์ง ์๋ ์ด์, ํด๋น ์คํฌ๋ฆฝํธ์ ๋น์ฉ์ ์ง๋ถํ๊ฑฐ๋ ์ฌ์ฉํ๋ ๊ฒ์ ๊ถ์ฅํ์ง ์์ต๋๋ค. ์ปค๋ฎค๋ํฐ ์คํฌ๋ฆฝํธ์์ ๋ฌด๋ฃ ์คํ์์ค ๋์์ ์ฐพ์๋ณด์ค ์๋ ์์ต๋๋ค.
์์ฑ์ ์ง์ ์ฌํญ
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c9indicator
๋ฉด์ฑ
์ฌํญ
ํด๋น ์ ๋ณด์ ๊ฒ์๋ฌผ์ ๊ธ์ต, ํฌ์, ํธ๋ ์ด๋ฉ ๋๋ ๊ธฐํ ์ ํ์ ์กฐ์ธ์ด๋ ๊ถ์ฅ ์ฌํญ์ผ๋ก ๊ฐ์ฃผ๋์ง ์์ผ๋ฉฐ, ํธ๋ ์ด๋ฉ๋ทฐ์์ ์ ๊ณตํ๊ฑฐ๋ ๋ณด์ฆํ๋ ๊ฒ์ด ์๋๋
