Open Interest Screener (Fixed Zones)📌 Purpose
This indicator scans Open Interest (OI) changes across selected exchanges and highlights significant spikes or drops directly on the chart using dynamic shaded zones.
It is designed to help traders detect unusual market positioning changes that may precede volatility events.
🧠 How It Works
1. Data Sources
Supports multiple exchanges: BitMEX USD, BitMEX USDT, Kraken USD (toggle on/off in settings).
Automatically adapts symbol prefix based on the chart’s base asset.
2. Spike / Drop Detection
OI % Change is calculated over a configurable lookback (Bars to look back).
Spike Up: OI increases by more than Threshold %.
Spike Down: OI decreases by more than Threshold %.
3. Dynamic Zones
When a spike occurs, a green zone (increase) or red zone (decrease) is drawn on the chart.
Zone height is dynamic, based on price high/low ± 5%, preventing chart distortion.
Minimum spacing (Zone Spacing) prevents clustering.
📈 How to Use
Green Zones: Large OI increase can signal fresh positioning (possible breakout setups).
Red Zones: Large OI decrease can signal liquidation events or position unwinds.
Combine with price action, funding rates, or volatility measures for higher confidence.
Recommended Timeframes: Works best on 15m, 1h, 4h.
Markets: Crypto derivatives (OI data available).
⚙️ Inputs
Bars to Look Back
OI % Change Threshold
Zone Width
Exchange toggles (BitMEX USD/USDT, Kraken USD)
⚠️ Disclaimer
This script is for educational purposes only and does not constitute financial advice.
Always test thoroughly before live trading.
Cerca negli script per "crypto"
Volume Scanner (Spikes & Drops) [Context]📌 Purpose
This indicator detects significant volume spikes or drops and optionally filters them by price context (local highs/lows).
It helps identify potential breakout or exhaustion points with improved signal quality compared to raw volume alerts.
🧠 How It Works
1. Volume Spike / Drop Detection
SMA Volume over N bars is calculated as baseline.
Volume Spike: Volume > SMA × Spike Multiplier (default 1.5×).
Volume Drop: Volume < SMA × Drop Multiplier (default 0.5×).
2. Context Filter (optional)
When Use Context = ON:
Bullish Context: Volume spike at/near local price high (last Lookback bars).
Bearish Context: Volume drop at/near local price low (last Lookback bars).
3. Signal Gap
Minimum spacing between signals (Min Gap Bars) prevents excessive clustering.
4. Visuals
Background shading:
Green = Volume Spike in bullish context.
Red = Volume Drop in bearish context.
Alerts can be configured for both conditions.
📈 How to Use
Volume Spikes near highs can indicate breakouts or exhaustion tops.
Volume Drops near lows can signal liquidity dry-up or potential reversals.
Combine with price action or support/resistance for confirmation.
Recommended Timeframes: Works on all timeframes; more reliable on 15m, 1h, 4h.
Markets: Crypto, Forex, Stocks.
⚙️ Inputs
Volume SMA Length
Spike Multiplier / Drop Multiplier
Use Context (High/Low filter)
Min Gap Bars (avoid clustered signals)
⚠️ Disclaimer
This script is for educational purposes only. It does not constitute financial advice.
Always test thoroughly before live trading.
Smart Price Divergence (MACD Filter) + EMA📌 Purpose
This indicator detects Price Divergences with MACD filtered by a 200 EMA trend condition.
It helps identify high-probability reversal zones aligned with market trend context.
🧠 How It Works
1. MACD Divergence Logic
Bearish Divergence:
Price makes a higher high.
MACD makes a lower high.
Price is above EMA (indicating possible exhaustion in bullish trend).
Bullish Divergence:
Price makes a lower low.
MACD makes a higher low.
Price is below EMA (indicating possible exhaustion in bearish trend).
2. EMA Trend Filter
EMA(200) is used as a directional filter:
Bearish divergences considered above EMA (extended bullish conditions).
Bullish divergences considered below EMA (extended bearish conditions).
3. Visual & Alerts
EMA(200) plotted on chart in orange.
Red triangles for Bearish Divergence.
Green triangles for Bullish Divergence.
Alerts fire for both divergence types.
📈 How to Use
Look for divergence signals as potential reversal alerts.
Combine with support/resistance or price action for confirmation.
EMA ensures signals occur in extended zones, increasing reliability.
Recommended Timeframes: 1h, 4h, D.
Markets: Forex, Crypto, Stocks.
⚙️ Inputs
MACD Fast / Slow / Signal Length
EMA Length (default 200)
⚠️ Disclaimer
This script is for educational purposes only. It does not constitute financial advice.
Always test thoroughly before live trading.
Smart Deviation Trend Bands PRO + MTF Filter📌 Purpose
This indicator combines multi-level Deviation Bands (±1, ±2, ±3 standard deviations from SMA) with a Higher Timeframe (HTF) Trend Filter.
It helps traders identify potential bounce and breakout setups aligned with the dominant market trend.
🧠 How It Works
1. Deviation Bands
SMA(Length) is calculated as the centerline.
Standard deviations (±1, ±2, ±3) define multiple dynamic support and resistance zones.
Outer bands (±3) often mark overextended zones; inner bands (±1, ±2) show active trading areas.
2. HTF Trend Filter
A higher timeframe SMA (HTF SMA) acts as a trend confirmation tool.
Default filter timeframe: 1 Day.
Trend Up: Price > HTF SMA
Trend Down: Price < HTF SMA
3. Entry Signals
Long Signal: Price crosses above lower deviation band (+1) when HTF trend is UP.
Short Signal: Price crosses below upper deviation band (−1) when HTF trend is DOWN.
4. Visuals & Alerts
Bands plotted in red (upper) and green (lower).
Centerline = SMA in blue.
HTF SMA in orange.
Circles on chart mark entry points; alerts trigger automatically.
📈 How to Use
In trending markets: Trade with the HTF direction, using band touches for entries.
In mean-reversion setups: Outer bands can be used to spot potential overbought/oversold zones.
Combine with volume or price action for confirmation.
Recommended Timeframes: 1h, 4h, D.
Markets: Forex, Crypto, Stocks.
⚙️ Inputs
SMA Length
StdDev Multiplier 1 / 2 / 3
HTF Timeframe (default: D1)
⚠️ Disclaimer
This script is for educational purposes only. It does not constitute financial advice.
Always test thoroughly before live trading.
Smart Volatility Squeeze + Trend Filter📌 Purpose
This indicator detects volatility squeeze conditions when Bollinger Bands contract inside Keltner Channels and signals potential breakout opportunities.
It also includes an optional EMA-based trend filter to align signals with the dominant market direction.
🧠 How It Works
1. Squeeze Condition
Bollinger Bands (BB): Length = 20, StdDev = 2.0 (default)
Keltner Channels (KC): EMA Length = 20, ATR Multiplier = 1.5 (default)
Squeeze ON: Occurs when BB Upper < KC Upper and BB Lower > KC Lower (low volatility zone).
2. Breakout Signals
Long Breakout: Price crosses above BB Upper after squeeze.
Short Breakout: Price crosses below BB Lower after squeeze.
3. Trend Filter (optional)
EMA(50) used to confirm breakout direction:
Long signals allowed only if price > EMA(50)
Short signals allowed only if price < EMA(50)
Toggle Use Trend Filter to enable/disable.
4. Visual & Alerts
Green circle at chart bottom indicates Squeeze ON.
Green/Red triangles mark breakouts.
Background gradually brightens during squeeze buildup.
Alerts available for long and short breakouts.
📈 How to Use
Look for Squeeze ON → then wait for breakout arrows.
Trade in breakout direction, preferably with trend filter ON.
Works best on higher timeframes (1h, 4h, D) and trending markets.
Markets: Crypto, Forex, Stocks — effective in volatile assets.
⚙️ Inputs
BB Length / StdDev
KC EMA Length / ATR Multiplier
Use Trend Filter
Trend EMA Length
⚠️ Disclaimer
This script is for educational purposes only. It does not constitute financial advice.
Always test thoroughly before live trading.
Smart RSI Divergence PRO | Auto Lines + Alerts📌 Purpose
This indicator automatically detects Regular and Hidden RSI Divergences between price action and the RSI oscillator.
It plots divergence lines directly on the chart, labels signals, and includes alerts for automated monitoring.
🧠 How It Works
1. RSI Calculation
RSI is calculated using the selected Source (default: Close) and RSI Length (default: 14).
2. Divergence Detection via Fractals
Swing points on both price and RSI are detected using fractal logic (5-bar patterns).
Regular Divergence:
Bearish: Price forms a higher high, RSI forms a lower high.
Bullish: Price forms a lower low, RSI forms a higher low.
Hidden Divergence:
Bearish: Price forms a lower high, RSI forms a higher high.
Bullish: Price forms a higher low, RSI forms a lower low.
3. Auto Drawing Lines
Lines are drawn automatically between divergence points:
Red = Regular Bearish
Green = Regular Bullish
Orange = Hidden Bearish
Blue = Hidden Bullish
Line width and transparency are adjustable.
4. Labels and Alerts
Labels mark divergence points with up/down arrows.
Alerts trigger for each divergence type.
📈 How to Use
Use Regular Divergences to anticipate trend reversals.
Use Hidden Divergences to confirm trend continuation.
Combine with support/resistance, trendlines, or volume for higher probability setups.
Recommended Timeframes: Works on all timeframes; more reliable on 1h, 4h, and Daily.
Markets: Forex, Crypto, Stocks.
⚙️ Inputs
Source (Close, HL2, etc.)
RSI Length
Toggle Regular / Hidden Divergence visibility
Toggle Lines / Labels
Line Width & Line Transparency
⚠️ Disclaimer
This script is for educational purposes only. It does not constitute financial advice.
Always test thoroughly before using in live trading.
Buy Sell Magic Rework📌 Purpose
This script is a reworked version of the Parabolic SAR strategy, with an optional ZigZag filter to confirm reversal points.
It helps traders identify potential trend reversals with reduced noise compared to the standard SAR.
🧠 How It Works
1. Parabolic SAR Flip Signals
Buy Signal: Triggered when SAR flips from above price to below price.
Sell Signal: Triggered when SAR flips from below price to above price.
(Default SAR parameters: Start = 0.02, Increment = 0.02, Max = 0.2)
2. ZigZag Filter (Optional)
When Use ZigZag Filter = true:
The script confirms reversals only at significant pivots (swing highs/lows) detected by the ZigZag algorithm over the selected ZigZag Period (default = 14 bars).
Buy Signal: Appears only when a new pivot low is detected.
Sell Signal: Appears only when a new pivot high is detected.
3. Trade-Off
Without ZigZag: More signals, more noise.
With ZigZag: Fewer signals, but stronger confirmation and reduced false entries.
📈 How to Use
Signals appear as green arrows for buy and red arrows for sell.
Works well for:
Trend reversal detection.
Swing trading confirmation.
Filtering entries for other systems.
Recommended Timeframes: 15m, 1h, 4h.
Markets: Forex, Crypto, Stocks.
⚙️ Inputs
ZigZag Period (bars for pivot detection)
SAR Start / Increment / Max (SAR parameters)
Use ZigZag Filter (toggle for confirmation)
⚠️ Disclaimer
This script is for educational purposes only. It does not constitute financial advice.
Always test thoroughly before live trading.
Smart Impulse Exhaustion Finder (ATR + ADX Filter)📌 Purpose
This indicator detects potential exhaustion of strong bullish or bearish impulses at fresh swing highs/lows by combining multiple price action and volatility-based filters.
🧠 How It Works
A signal is triggered only when all core conditions are satisfied:
1. Swing High/Low Detection
Current high (or low) must be the highest (or lowest) over the last Extremum Lookback bars (default: 50).
This ensures the move is significant relative to recent price action.
2. Impulse Confirmation
Price must extend by at least 1 × ATR from the previous swing point.
This filters out minor fluctuations.
3. Exhaustion Conditions (at least 2 out of 3 must be met)
RSI Extreme: RSI > Overbought Level (default: 80) for bearish signals, RSI < Oversold Level (default: 20) for bullish signals.
Volume Spike: Volume > SMA(Volume, Volume SMA Length) × Volume Spike Multiplier.
Candle Wick Rejection: Upper wick ≥ Wick Threshold % for bearish setups, Lower wick ≥ Wick Threshold % for bullish setups.
4. Trend Filter
ADX > ADX Threshold ensures the market is trending and filters out sideways conditions.
5. Candle Body Filter
Candle body must be ≥ Body Size ATR Factor × ATR.
This avoids weak signals from small candles or doji formations.
📈 How to Use
Bearish Signal:
Appears at fresh swing highs with exhaustion conditions met. Useful for tightening stops, taking partial profits, or counter-trend shorts.
Bullish Signal:
Appears at fresh swing lows with exhaustion conditions met. Useful for trailing stops, profit-taking, or counter-trend longs.
Recommended Timeframes: Works best on 1h, 4h, and Daily charts.
Markets: Crypto, Forex, Stocks — wherever volatility and trends are present.
⚙️ Inputs
RSI Length / Overbought / Oversold
Volume SMA Length & Volume Spike Multiplier
Wick Threshold %
Extremum Lookback (bars for highs/lows)
ADX Length & Threshold
Body Size ATR Factor
⚠️ Disclaimer
This script is for educational purposes only and does not constitute financial advice.
Always test thoroughly and apply proper risk management before live trading.
💡 Tip: Combine this tool with your own market context and confluence factors for higher probability setups.
MVRV Altcoins📌 Technical Description of Indicator: MVRV Altcoins
This advanced script calculates the Market Value to Realized Value (MVRV) ratio across multiple cryptocurrencies simultaneously. It offers two analytical modes: Normal and Z-Score, optimized for visual comparison and real-time monitoring of up to 13 predefined assets. If a user applies the indicator to a symbol that is not among the 13 programmed assets, the default behavior displays the Bitcoin chart as a fallback reference.
🔍 What Is MVRV and Why Is It Important?
MVRV is an on-chain metric designed to assess whether a cryptocurrency is overvalued or undervalued by comparing its market capitalization to its realized capitalization.
- Market Cap: The total circulating supply multiplied by the current market price.
- Realized Cap: The sum value of all coins based on the price at the time they last moved on-chain, offering a time-weighted valuation.
Normal Calculation:
MVRV_Normal = Market Cap / Realized Cap
This version reflects investor profitability and identifies potential accumulation or distribution zones.
📊 Z-Score Calculation:
MVRV_ZScore = (Market Cap − Realized Cap) / Standard Deviation of Market Cap
This formula evaluates how extreme the current market conditions are compared to historical norms. It normalizes the difference using statistical dispersion, turning it into a volatility-aware metric that better reflects valuation extremes.
🔎 How Market Cap Is Computed
Unlike conventional indicators relying on consolidated feeds, this script uses modular components from CoinMetrics to construct the active capitalization more accurately, especially for altcoins. Here's the breakdown:
Active Capitalization = MARKETCAPFF + MARKETCAPACTSPLY
Realized Capitalization = MARKETCAPREAL
Component Definitions:
- MARKETCAPFF: Market Cap Free Float — total valuation based only on truly circulating coins.
- MARKETCAPACTSPLY: Capitalization from actively circulating supply — filters dormant or locked coins.
- MARKETCAPREAL: Realized Cap — historical valuation weighted by the last on-chain movement of each coin.
This method offers enhanced precision and compatibility across assets that may lack comprehensive data from centralized providers.
⚙️ User-Configurable Parameters
- MVRV Mode: Choose between Normal and Z-Score.
- Percentage Scale View: If enabled, visual output is scaled using predefined divisors (100 / 3.5 or 100 / 6).
- Thresholds for Analysis:
- Normal mode: Define overbought and oversold levels (default 1.0 and 3.5).
- Z-Score mode: Configure statistical boundaries (default 0.0 and 6.0).
- Table Controls:
- Adjustable position on screen (9 options).
- Font size customization: tiny, small, normal, large.
- Color scheme personalization:
- Header: text and background
- Body: text and background
- Central column separator color
📊 Multicrypto Table Architecture
The indicator renders a high-performance visual table displaying data from up to 13 assets simultaneously. Each asset is represented as a vertical column featuring eigth historical data points plus the most recent value.
- Assets are displayed in two blocks separated by a decorative column.
- Each value is rounded to one decimal place for clarity.
- Cells are styled dynamically based on user settings.
🎨 Decorative Column Separator
Since the entire table is built as a unified structure, a color-configurable empty column is inserted mid-table to act as a visual divider. This approach improves readability and aesthetic balance without duplicating code or splitting table logic.
🔁 Default Behavior on Unsupported Assets
If the active chart is not one of the 13 predefined assets, the indicator will automatically display Bitcoin’s data. This ensures the chart remains functional and informative even outside the target asset group.
🎯 Color Interpretation by Condition
The MVRV value for each asset is highlighted using a traffic light system:
- Green: Undervalued (below oversold threshold)
- Red: Overvalued (above overbought threshold)
- Yellow: Neutral zone
This coding simplifies decision-making and visual scanning across assets.
Final Notes
This indicator is modular and fully adaptable, with well-commented sections designed for efficient customization. Its multiactive architecture makes it a valuable tool for crypto analysts tracking diversified portfolios beyond Bitcoin and Ethereum.
It supports visual storytelling across assets, comparative historical evaluation, and identification of strategic zones — whether for accumulation, distribution, or monitoring on-chain sentiment.
🇰🇷 Kim'in Kim'out — Korean Premium TrackerKim’in Kim’out is a premium-tracking TradingView indicator that reveals Korean market sentiment by comparing real-time asset prices on Upbit (KRW) and Binance (USDT).
It detects when Korean traders are spot accumulating (Kim’in) or spot distributing (Kim’out) — enhanced by volume confirmation and trend context.
Perfect for crypto scalpers, swing traders, and arbitrage hunters.
⚙️ How It Works
Kimchi Premium: Measures how much more (or less) Koreans are paying on Upbit compared to Binance.
Volume Confirmation: Filters signals by comparing Upbit volume vs its moving average.
Signal Logic:
🔼 Kim’in: Premium exceeds the buy threshold + high volume
🔽 Kim’out: Premium drops below the sell threshold + high volume
Trend Context: Premium trend line gives insight into sustained interest/disinterest.
🎛️ Settings Overview
Input Description
Select Cryptocurrency Choose from supported coins (BTC, ETH, SOL, etc.)
Buy Threshold (%) How high the premium must be to trigger a Kim’in signal
Sell Threshold (%) How low the premium must be to trigger a Kim’out signal
Volume MA Period The number of candles for volume average
Volume Multiplier Volume spike ratio needed to confirm a signal
Show Info Table Toggle detailed premium stats in a side panel
Show Premium Zones Visual background zones (green/red/yellow)
Debug Mode Shows extra signals that trigger without volume confirmation
✅ How to Use It
Add the indicator to any chart (e.g. BTC/USDT)
Choose a coin from the dropdown (BTC, ETH, etc.)
Watch for:
Green Triangle Up (Kim’in) = Korean spot buy pressure confirmed
Red Triangle Down (Kim’out) = Korean selloff or disinterest
Use the Info Table (top-right) to see:
Premium %
Volume confirmation
Real-time KRW-USD exchange rate
Upbit vs Binance price comparison
Set Alerts:
Right-click on a signal → Add Alert on "Kim’in" or "Kim’out"
Or use the prebuilt alertconditions
🔔 Alert Messages
🇰🇷 Korean Premium BUY signal detected → Kim’in
🇰🇷 Korean Premium SELL signal detected → Kim’out
🧪 Best Practices
Use on 1H or 4H timeframe for best results
Confirm with broader market structure or confluence tools
Spot divergences between Binance and Upbit to predict regional flow shifts
🚫 Limitations
Works only with coins that have both Binance USDT & Upbit KRW pairs
Premium may be delayed by low liquidity or FX rate fluctuations (USDKRW)
Not suitable for lowcaps not listed on Upbit
Created by UKMC Crypto
Smart MTF S/R Levels[BullByte]
Smart MTF S/R Levels
Introduction & Motivation
Support and Resistance (S/R) levels are the backbone of technical analysis. However, most traders face two major challenges:
Manual S/R Marking: Drawing S/R levels by hand is time-consuming, subjective, and often inconsistent.
Multi-Timeframe Blind Spots: Key S/R levels from higher or lower timeframes are often missed, leading to surprise reversals or missed opportunities.
Smart MTF S/R Levels was created to solve these problems. It is a fully automated, multi-timeframe, multi-method S/R detection and visualization tool, designed to give traders a complete, objective, and actionable view of the market’s most important price zones.
What Makes This Indicator Unique?
Multi-Timeframe Analysis: Simultaneously analyzes up to three user-selected timeframes, ensuring you never miss a critical S/R level from any timeframe.
Multi-Method Confluence: Integrates several respected S/R detection methods—Swings, Pivots, Fibonacci, Order Blocks, and Volume Profile—into a single, unified system.
Zone Clustering: Automatically merges nearby levels into “zones” to reduce clutter and highlight areas of true market consensus.
Confluence Scoring: Each zone is scored by the number of methods and timeframes in agreement, helping you instantly spot the most significant S/R areas.
Reaction Counting: Tracks how many times price has recently interacted with each zone, providing a real-world measure of its importance.
Customizable Dashboard: A real-time, on-chart table summarizes all key S/R zones, their origins, confluence, and proximity to price.
Smart Alerts: Get notified when price approaches high-confluence zones, so you never miss a critical trading opportunity.
Why Should a Trader Use This?
Objectivity: Removes subjectivity from S/R analysis by using algorithmic detection and clustering.
Efficiency: Saves hours of manual charting and reduces analysis fatigue.
Comprehensiveness: Ensures you are always aware of the most relevant S/R zones, regardless of your trading timeframe.
Actionability: The dashboard and alerts make it easy to act on the most important levels, improving trade timing and risk management.
Adaptability: Works for all asset classes (stocks, forex, crypto, futures) and all trading styles (scalping, swing, position).
The Gap This Indicator Fills
Most S/R indicators focus on a single method or timeframe, leading to incomplete analysis. Manual S/R marking is error-prone and inconsistent. This indicator fills the gap by:
Automating S/R detection across multiple timeframes and methods
Objectively scoring and ranking zones by confluence and reaction
Presenting all this information in a clear, actionable dashboard
How Does It Work? (Technical Logic)
1. Level Detection
For each selected timeframe, the script detects S/R levels using:
SW (Swing High/Low): Recent price pivots where reversals occurred.
Pivot: Classic floor trader pivots (P, S1, R1).
Fib (Fibonacci): Key retracement levels (0.236, 0.382, 0.5, 0.618, 0.786) over the last 50 bars.
Bull OB / Bear OB: Institutional price zones based on bullish/bearish engulfing patterns.
VWAP / POC: Volume Weighted Average Price and Point of Control over the last 50 bars.
2. Level Clustering
Levels within a user-defined % distance are merged into a single “zone.”
Each zone records which methods and timeframes contributed to it.
3. Confluence & Reaction Scoring
Confluence: The number of unique methods/timeframes in agreement for a zone.
Reactions: The number of times price has touched or reversed at the zone in the recent past (user-defined lookback).
4. Filtering & Sorting
Only zones within a user-defined % of the current price are shown (to focus on actionable areas).
Zones can be sorted by confluence, reaction count, or proximity to price.
5. Visualization
Zones: Shaded boxes on the chart (green for support, red for resistance, blue for mixed).
Lines: Mark the exact level of each zone.
Labels: Show level, methods by timeframe (e.g., 15m (3 SW), 30m (1 VWAP)), and (if applicable) Fibonacci ratios.
Dashboard Table: Lists all nearby zones with full details.
6. Alerts
Optional alerts trigger when price approaches a zone with confluence above a user-set threshold.
Inputs & Customization (Explained for All Users)
Show Timeframe 1/2/3: Enable/disable analysis for each timeframe (e.g., 15m, 30m, 1h).
Show Swings/Pivots/Fibonacci/Order Blocks/Volume Profile: Select which S/R methods to include.
Show levels within X% of price: Only display zones near the current price (default: 3%).
How many swing highs/lows to show: Number of recent swings to include (default: 3).
Cluster levels within X%: Merge levels close together into a single zone (default: 0.25%).
Show Top N Zones: Limit the number of zones displayed (default: 8).
Bars to check for reactions: How far back to count price reactions (default: 100).
Sort Zones By: Choose how to rank zones in the dashboard (Confluence, Reactions, Distance).
Alert if Confluence >=: Set the minimum confluence score for alerts (default: 3).
Zone Box Width/Line Length/Label Offset: Control the appearance of zones and labels.
Dashboard Size/Location: Customize the dashboard table.
How to Read the Output
Shaded Boxes: Represent S/R zones. The color indicates type (green = support, red = resistance, blue = mixed).
Lines: Mark the precise level of each zone.
Labels: Show the level, methods by timeframe (e.g., 15m (3 SW), 30m (1 VWAP)), and (if applicable) Fibonacci ratios.
Dashboard Table: Columns include:
Level: Price of the zone
Methods (by TF): Which S/R methods and how many, per timeframe (see abbreviation key below)
Type: Support, Resistance, or Mixed
Confl.: Confluence score (higher = more significant)
React.: Number of recent price reactions
Dist %: Distance from current price (in %)
Abbreviations Used
SW = Swing High/Low (recent price pivots where reversals occurred)
Fib = Fibonacci Level (key retracement levels such as 0.236, 0.382, 0.5, 0.618, 0.786)
VWAP = Volume Weighted Average Price (price level weighted by volume)
POC = Point of Control (price level with the highest traded volume)
Bull OB = Bullish Order Block (institutional support zone from bullish price action)
Bear OB = Bearish Order Block (institutional resistance zone from bearish price action)
Pivot = Pivot Point (classic floor trader pivots: P, S1, R1)
These abbreviations appear in the dashboard and chart labels for clarity.
Example: How to Read the Dashboard and Labels (from the chart above)
Suppose you are trading BTCUSDT on a 15-minute chart. The dashboard at the top right shows several S/R zones, each with a breakdown of which timeframes and methods contributed to their detection:
Resistance zone at 119257.11:
The dashboard shows:
5m (1 SW), 15m (2 SW), 1h (3 SW)
This means the level 119257.11 was identified as a resistance zone by one swing high (SW) on the 5-minute timeframe, two swing highs on the 15-minute timeframe, and three swing highs on the 1-hour timeframe. The confluence score is 6 (total number of method/timeframe hits), and there has been 1 recent price reaction at this level. This suggests 119257.11 is a strong resistance zone, confirmed by multiple swing highs across all selected timeframes.
Mixed zone at 118767.97:
The dashboard shows:
5m (2 SW), 15m (2 SW)
This means the level 118767.97 was identified by two swing points on both the 5-minute and 15-minute timeframes. The confluence score is 4, and there have been 19 recent price reactions at this level, indicating it is a highly reactive zone.
Support zone at 117411.35:
The dashboard shows:
5m (2 SW), 1h (2 SW)
This means the level 117411.35 was identified as a support zone by two swing lows on the 5-minute timeframe and two swing lows on the 1-hour timeframe. The confluence score is 4, and there have been 2 recent price reactions at this level.
Mixed zone at 118291.45:
The dashboard shows:
15m (1 SW, 1 VWAP), 5m (1 VWAP), 1h (1 VWAP)
This means the level 118291.45 was identified by a swing and VWAP on the 15-minute timeframe, and by VWAP on both the 5-minute and 1-hour timeframes. The confluence score is 4, and there have been 12 recent price reactions at this level.
Support zone at 117103.10:
The dashboard shows:
15m (1 SW), 1h (1 SW)
This means the level 117103.10 was identified by a single swing low on both the 15-minute and 1-hour timeframes. The confluence score is 2, and there have been no recent price reactions at this level.
Resistance zone at 117899.33:
The dashboard shows:
5m (1 SW)
This means the level 117899.33 was identified by a single swing high on the 5-minute timeframe. The confluence score is 1, and there have been no recent price reactions at this level.
How to use this:
Zones with higher confluence (more methods and timeframes in agreement) and more recent reactions are generally more significant. For example, the resistance at 119257.11 is much stronger than the resistance at 117899.33, and the mixed zone at 118767.97 has shown the most recent price reactions, making it a key area to watch for potential reversals or breakouts.
Tip:
“SW” stands for Swing High/Low, and “VWAP” stands for Volume Weighted Average Price.
The format 15m (2 SW) means two swing points were detected on the 15-minute timeframe.
Best Practices & Recommendations
Use with Other Tools: This indicator is most powerful when combined with your own price action analysis and risk management.
Adjust Settings: Experiment with timeframes, clustering, and methods to suit your trading style and the asset’s volatility.
Watch for High Confluence: Zones with higher confluence and more reactions are generally more significant.
Limitations
No Future Prediction: The indicator does not predict future price movement; it highlights areas where price is statistically more likely to react.
Not a Standalone System: Should be used as part of a broader trading plan.
Historical Data: Reaction counts are based on historical price action and may not always repeat.
Disclaimer
This indicator is a technical analysis tool and does not constitute financial advice or a recommendation to buy or sell any asset. Trading involves risk, and past performance is not indicative of future results. Always use proper risk management and consult a financial advisor if needed.
Confluence AVWAP Breakout RibbonThis advanced indicator overlays up to five Anchored VWAPs—Daily Session, Weekly, Monthly, Prior Swing High, and Prior Swing Low—directly onto your chart. It highlights a "confluence ribbon" between these levels, visually mapping the real-time price zone where institutional activity may cluster. The ribbon is colored dynamically so you can instantly spot which side of value price is breaking towards.
How it works:
• The script automatically recalculates each selected VWAP anchor in real time.
• For swing-high and swing-low anchors, it starts a new VWAP every time a new price swing is confirmed.
• You can enable or disable any anchor via the script’s Inputs panel to suit your trading style or asset.
Entry Signals:
• A long breakout (green up-arrow) triggers only on the first candle that closes above all active VWAP anchors.
• A short breakout (red down-arrow) triggers only on the first close below all active anchors.
• These signals help confirm when price makes a decisive move out of a key value zone, filtering out false or weak breakouts.
How to use:
Add the indicator to any chart or timeframe.
In the Inputs, choose which VWAP anchors to activate.
Watch for the ribbon color and width: a wider ribbon means more confluence between price zones.
Trade signals (arrows) are only painted on the first candle to break out above or below all anchors, making them easy to see and avoiding repaint.
Optional: Set up alerts using the built-in TradingView alerts for each breakout direction.
Customization:
• Toggle each anchor on/off for your preferred strategy.
• Adjust the swing length for pivots.
• Change ribbon opacity for better chart visibility.
Why it’s unique:
• Most VWAP scripts only plot a single line, or show basic session anchors.
• This indicator lets you stack up to five important VWAP anchors and requires consensus: price must clear all active anchors in one move to signal a breakout.
• The live ribbon and dynamic visuals provide clear confluence zones and breakout cues that go beyond traditional VWAP use.
Best practices:
• Works well on all major assets (stocks, crypto, FX, indices) and all chart timeframes.
• For highest reliability, use two or more anchors at a time.
• Consider using alongside your preferred trend or volatility filter.
For educational and research purposes only. This is not financial advice or a recommendation to buy or sell. Always use proper risk management and test before live trading.
Price over VolumeVersion 0.1
Price over Volume Indicator
Description
The Price over Volume indicator calculates the ratio of the closing price to the trading volume (price / volume) for the current chart's symbol and displays it as a histogram in a separate pane. A horizontal zero line is included as a reference to highlight positive and negative values or periods of undefined data (e.g., zero volume). The indicator is designed to help traders analyze the relationship between price movements and trading volume.
Insights Provided
Price-Volume Dynamics: The indicator shows how price per unit of volume fluctuates, offering insights into market efficiency and liquidity. High ratios may indicate low volume relative to price, suggesting potential volatility or thin markets, while low ratios may reflect high volume supporting price stability.
Trend and Momentum Analysis: Spikes or trends in the price-to-volume ratio can signal significant market events, such as buying/selling pressure or low liquidity periods, helping traders identify potential reversals or continuations.
Zero Line Reference: The zero line helps identify periods where the ratio is undefined (e.g., zero volume) or negative (if applicable), aiding in the interpretation of market conditions.
Volume Sensitivity: By normalizing price by volume, the indicator highlights how volume influences price movements, which is useful for assessing the strength of trends or breakouts.
How to Use
Setup: Apply the indicator to any chart with price and volume data (e.g., stocks, cryptocurrencies like BINANCE:BTCUSDT). The histogram appears in a separate pane below the main chart.
Interpretation :
High Ratios: Indicate low trading volume relative to price, potentially signaling overbought conditions or low liquidity. Use with caution in thin markets.
Low Ratios: Suggest high volume supporting price levels, indicating stronger market participation or stability.
Spikes: Watch for sudden increases in the ratio, which may precede volatility or significant price moves.
Zero Line: Periods where the histogram is absent (due to zero volume) indicate no trading activity, useful for identifying illiquid periods.
Trading Applications:
Confirmation Tool: Combine with other indicators (e.g., RSI, MACD) to confirm trend strength. A rising price-to-volume ratio with a price uptrend may indicate weakening volume support, suggesting a potential reversal.
Volume Analysis: Use alongside volume-based indicators (e.g., OBV, VWAP) to assess whether price movements are backed by sufficient volume.
Scalping/Day Trading: Monitor intraday ratio changes to identify high-impact periods with low volume, which may offer short-term trading opportunities.
Customization: Adjust the histogram color or style (e.g., change to line plot) via the Pine Editor to suit your preferences. Consider adding smoothing (e.g., moving average) for cleaner signals.
Notes
Data Requirements: Ensure the chart’s symbol has valid volume data. Symbols with no volume (e.g., some forex pairs) will result in undefined (na) values.
Limitations: The indicator is sensitive to zero-volume periods, which may cause gaps in the histogram. Use on high-liquidity symbols for best results.
Performance: Lightweight and efficient, suitable for all timeframes.
This indicator is ideal for traders seeking to understand the interplay between price and volume, offering a unique perspective on market dynamics for informed trading decisions.
ZScore Plot with Ranked TableVersion 0.1
ZScore Plot with Ranked Table — Overview
This indicator visualizes the rolling ZScores of up to 10 crypto assets, giving traders a normalized view of log return deviations over time. It's designed for volatility analysis, anomaly detection, and clustering of asset behavior.
🎯 Purpose
• Show how each asset's performance deviates from its historical mean
• Identify potential overbought/oversold conditions across assets
• Provide a ranked leaderboard to compare asset behavior instantly
⚙️ Inputs
• Lookback: Number of bars to calculate mean and standard deviation
• Asset 1–10: Choose up to 10 symbols (e.g. BTCUSDT, ETHUSDT)
📈 Outputs
• ZScore Lines: Each asset plotted on a normalized scale (mean = 0, SD = 1)
• End-of-Line Labels: Asset names displayed at latest bar
• Leaderboard Table: Ranked list (top-right) showing:
◦ Asset name (color-matched)
◦ Final ZScore (rounded to 3 decimals)
🧠 Use Cases
• Quantitative traders seeking cross-asset momentum snapshots
• Signal engineers tracking volatility clusters
• Risk managers monitoring outliers and systemic shifts
Average Daily % Change by Weekday📊 Average Daily % Change by Weekday
This script calculates and displays the average daily percentage change for each weekday (Monday through Sunday) based on historical price data. It helps traders analyze which days tend to be bullish or bearish over a selected backtest date range.
✅ Features:
Customizable date range (From Year/Month/Day to To Year/Month/Day)
Calculates average % change for each weekday (Mon–Sun)
Supports assets that trade 7 days (e.g., crypto)
Color-coded outputs (green = positive, red = negative)
Final results shown as a table in the bottom-right corner
Works only on the 1D timeframe (daily)
🧠 How it works:
For each day within the selected date range:
The script calculates the % change as: (Close - Open) / Open * 100
Then, it groups the data by weekday and averages the values
This gives you insight into how each day of the week behaves historically for the current asset.
⚠️ Notes:
This script only works on daily (1D) timeframes.
For most accurate results, use it on assets with long trading history (e.g., BTCUSD).
Designed for educational and statistical analysis purposes.
Inflection PointInflection Point - The Adaptive Confluence Reversal Engine
This is not just another peak and valley indicator; it is a complete and total reimagining of how market turning points are detected, qualified, and acted upon. Born from the foundational concepts explored in systems like my earlier creation, DAFE - Turning Point, Inflection Point is a ground-up engineering feat designed for the modern trader. It moves beyond static rules and simple pattern recognition into the realm of dynamic, multi-factor confluence analysis and adaptive machine learning.
Where other indicators provide a guess, Inflection Point provides a probability. It meticulously analyzes the market's deepest currents—momentum, exhaustion, and reversal velocity—and fuses them into a single, unified "Confluence Score." This is not a simple combination of indicators; it is an intelligent, weighted system where each component works in concert, creating an analytical engine that is orders of magnitude more sophisticated and reliable than any standard reversal tool.
Furthermore, Inflection Point learns. Through its advanced Adaptive Learning Engine, it constantly monitors its own performance, adjusting its confidence and selectivity in real-time based on its recent success rate. This allows it to adapt its behavior to any security, on any timeframe, with remarkable success.
Theoretical Foundation - Confluence Core
Inflection Point's predictive power does not come from a single, magical formula. It comes from the intelligent synthesis of three critical market phenomena, weighted and scored in real-time to generate a single, high-conviction probability rating.
1. Factor One: Pre-Reversal Momentum State (RSI Analysis)
Instead of reacting to a simple RSI cross, Inflection Point proactively scans for the build-up of momentum that precedes a reversal.
• Formulaic Concept: It measures the highest RSI value over a lookback period for peaks and the lowest RSI for valleys. A signal is only considered valid if significant momentum has been established before the turn, indicating a stretched market condition ripe for reversal.
• Asymmetric Sophistication: The engine uses different, optimized thresholds for bull and bear momentum, recognizing that markets often fall faster than they rise.
2. Factor Two: Volatility Exhaustion (Bollinger Band Analysis)
A true reversal often occurs when price makes a final, exhaustive push into unsustainable territory.
• Formulaic Concept: The engine detects when price has significantly pierced the outer Bollinger Bands. This is not just a touch, but a statistical deviation from the mean that signals volatility exhaustion, where the energy for the current move is likely depleted.
3. Factor Three: Reversal Strength (Rate of Change Analysis)
The character of a reversal matters. A sharp, decisive turn is more significant than a slow, meandering one.
• Formulaic Concept: Using a short-term Rate of Change (ROC), the engine measures the velocity of the reversal itself. A higher ROC score adds significant weight to the final probability, confirming that the new direction has conviction.
4. The Final Calculation: The Adaptive Learning Engine
This is the system's "brain." It maintains a history of its past signals and calculates its real-time win rate. This hitRate is then used to generate an adaptiveMultiplier.
• Self-Correction: In "Quality Control" mode, a high win rate makes the indicator more selective, demanding a higher probability score to issue a signal, thereby protecting streaks. A lower win rate makes it slightly less selective to ensure it continues learning from new market conditions.
• The result is a system that is not static, but a living, breathing tool that adapts its personality to the unique rhythm of any chart.
Why Inflection Point is a Paradigm Shift
Inflection Point is fundamentally different from other reversal indicators for three key reasons:
Confluence Over Isolation: Standard indicators look at one thing (e.g., RSI > 70). Inflection Point simultaneously analyzes momentum, volatility, and velocity, understanding that true reversals are a product of multiple converging factors. It answers not just "if," but "why" a reversal is likely.
Probabilistic Over Binary: Other tools give you a simple "yes" or "no." Inflection Point provides a probability score from 0-100, allowing you to gauge the conviction of every potential signal. This empowers you to differentiate between a weak setup and an A+ opportunity.
Adaptive Over Static: Every other indicator uses the same rules forever. Inflection Point's Adaptive Engine means it is constantly refining its own logic based on what is actually working in the current market, on the specific asset you are trading. It is tailored to the now.
The Inputs Menu - Your Command Center
Every setting is a lever of control, allowing you to tune the engine to your precise trading style and market focus.
🧠 Neural Core Engine
Analysis Depth: This is the primary lookback for the Bollinger Band and other core calculations. A shorter depth makes the indicator faster and more sensitive, ideal for scalping. A longer depth makes it slower and more stable, ideal for swing trading.
Minimum Probability %: This is your master signal filter. It sets the minimum Confluence Score required to plot a signal. Higher values (85-95) will give you only the highest-conviction A+ setups. Lower values (70-80) will show more potential opportunities.
🤖 Adaptive Neural Learning
Enable Adaptive Learning Engine: Toggles the entire learning system. Disabling it will make the indicator's logic static.
Peak/Valley Success Threshold (ATR): This defines what constitutes a "successful" trade for the learning engine. A value of 1.5 means price must move 1.5x the ATR in your favor for the signal to be marked as a win. Adjust this to match your personal take-profit strategy.
Adaptive Mode: This dictates how the engine uses its hitRate. "Quality Control" is recommended for its intelligent filtering. "Aggressive" will always boost signal scores, useful for finding more setups in a known, trending environment.
Asymmetric Balance: Allows you to apply a "boost" to either peak (short) or valley (long) signals. If you find the market you're trading has stronger long reversals, you can increase the "Valley Signal Boost" to catch them more effectively.
🛡️ Elite Filters
Market Noise Filter: An exceptional tool for avoiding choppy markets. It counts the number of directional changes in the last 5 bars. If the market is whipping back and forth too much, it will block the signal. Lower the "Max Direction Changes" to be extremely selective.
Volume Filter: Requires signal confirmation from a significant volume spike. The "Volume Multiplier" dictates how large this spike must be (e.g., 1.2 = 20% above average volume). This is invaluable for filtering out low-conviction moves in stocks and crypto.
The Dashboard - Your Analytical Co-Pilot
The dashboard is not just a set of numbers; it is a holistic overview of the market's health and the engine's current state.
Unified AI Score: This section provides the most critical, at-a-glance information. "Total Score" is the current probability reading, while "Quality" gives you a human-readable interpretation. "Win Rate" shows the real-time performance of the Adaptive Engine.
Order Flow (OFPI): This measures the "weight" of money behind recent price moves by analyzing price change relative to volume. A high positive OFPI suggests strong buying pressure, while a high negative value suggests strong selling pressure. It gives you a peek into the market's underlying flow.
Component Analysis: This allows you to see the individual "Peak" and "Valley" confidence scores before they are filtered, giving you insight into building momentum before a signal forms.
Market Structure: This panel assesses the broader environment. "HTF Trend" tells you the direction of the larger trend (based on EMAs), while "Vol Regime" tells you if the market is in a high, medium, or low volatility state. Use this to align your signals with the broader market context.
Filter & Engine Statistics: Available on the "Large" dashboard, this provides deep insight into how many signals are being blocked by your filters and the current status of the Adaptive Engine's multiplier.
The Visual Interface - A Symphony of Data
Every visual element on the chart is designed for instant interpretation and insight.
Signal Markers: Simple, clean triangles mark the exact bar of a valid signal. A box is drawn around the high/low of the signal bar to highlight the precise point of inflection.
Dynamic Support/Resistance Zones: These are the glowing lines on your chart. They are not static lines; they are dynamic levels that represent the current battlefield between buyers and sellers.
Cyber Cyan (Valley Blue): This is the current Support Zone. This is the price level the market is currently trying to defend.
Neural Pink (Peak Red): This is the current Resistance Zone. This is the price level the market is currently trying to break through.
Grey (Next Level): This line is a projection, based on the current momentum and the size of the S/R range, of where the next major level of conflict will likely be. It acts as a potential price target.
Development & Philosophy
Inflection Point was not assembled; it was engineered. It represents hundreds of hours of research into market dynamics, statistical analysis, and machine learning principles. The goal was to create a tool that moves beyond the limitations of traditional technical analysis, which often fails in modern, algorithm-driven markets. By building a system based on multi-factor confluence and self-adaptive logic, Inflection Point provides a quantifiable, statistical edge that is simply unattainable with simpler tools. This is the result of a relentless pursuit of a better, more intelligent way to trade.
Universal Applicability
The principles of momentum, exhaustion, and velocity are universal to all freely traded markets. Because of its adaptive core and robust filtering options, Inflection Point has proven to be exceptionally effective on any security (stocks, crypto, forex, indices, futures) and on any timeframe (from 1-minute scalping charts to daily swing trading charts).
" Markets are constantly in a state of uncertainty and flux and money is made by discounting the obvious and betting on the unexpected. "
— George Soros
Trade with insight. Trade with anticipation.
— Dskyz, for DAFE Trading Systems
Pivot Channel LevelsPivot Channel Levels
Indicator Description
“Pivot Channel Levels” is an advanced technical analysis tool that identifies key price pivots (highs and lows) and creates dynamic support and resistance levels based on the wicks of candles at these points (or bodies if wicks are minimal). The indicator analyzes the volume at the time of a pivot’s formation, displaying its value and percentage change relative to the volume’s simple moving average (SMA).
It does not generate buy/sell signals but provides a clear visualization of market structure, helping traders identify potential price reaction zones and assess the strength of market movements.
Why Are Wicks Important?
Candle wicks at price pivots indicate significant market reactions in key areas. Depending on the context, they may signal rejection, testing, or absorption of a support or resistance level. Long wicks often appear where large players are active, and the marked zones are frequently retested. The indicator allows for quick identification and observation of their impact on future price action.
Why Use It?
- Precise Support and Resistance Levels: The indicator draws price channels based on candle wicks at pivots (or bodies if wicks are absent), enabling better identification of zones where price may react.
- Volume Analysis: It shows how the volume at a pivot differs from the average, indicating potential activity by large players or key market moments.
- Visual Clarity: Colored lines, channel fills, and clear labels facilitate quick chart analysis, even on short timeframes.
- Flexibility: Adjustable pivot length, volume average, and label colors allow customization to various trading strategies.
How It Works
- Pivot Detection: Automatically identifies local highs and lows based on the “Pivot Length” parameter (default: 20 candles). This means a pivot appears on the chart with a 20-candle delay. Reducing this value allows faster pivot detection (after fewer candles), increasing their number but potentially generating more noise.
- Channel Creation: Draws support and resistance levels based on the wicks of candles at pivot points (or bodies if wicks are minimal) with a delay to confirm zones. A pivot channel is drawn until the next pivot is identified, but if not previously broken, it remains valid as active support or resistance.
- Volume Analysis: Displays the volume at the pivot’s formation and its percentage change relative to the volume’s SMA.
- Visualization: Pivot and channel levels are shown as lines with fills, and labels display volume and its deviation from the average.
Trading Applications
- Swing Trading: Use pivot levels and channels to identify price reversal points or consolidation zones.
- Scalping: Monitor price reactions to channels on short timeframes, especially with high volume.
- Faster Pivot Identification: Switch to a lower timeframe (e.g., from H1 to M15) to identify pivots more quickly, allowing earlier reactions to price changes.
- Market Context Analysis: High volume at pivots may indicate significant levels likely to be retested.
- Combining with Other Tools: The indicator pairs well with Fibonacci retracement, supply/demand zones, or oscillators like RSI.
Settings and Customization
- Pivot Length: Determines how many candles back and forward are analyzed to detect pivots (default: 20). A smaller value increases sensitivity, a larger one enhances stability.
- Volume Average: Length of the SMA for volume (default: 20). Adjust to better reflect market characteristics.
- Label Colors: Choose colors for bullish and bearish pivot labels to match your chart style.
Usage Examples
- Identifying Key Zones: If the price approaches a pivot level with high volume (e.g., +50% relative to SMA), it may signal strong support or resistance.
- Breakout Confirmation: A channel breakout with high volume can indicate trend continuation.
- Price Reaction Analysis: Long wicks at pivots with high volume may signal level rejection by large players.
Notes for Users
- The indicator performs best on highly liquid markets (e.g., Forex, indices, cryptocurrencies).
- On short timeframes (e.g., M1, M5), it may generate more noise—adjust “Pivot Length” to suit your needs.
- Consider combining with other indicators to confirm signals derived from pivot and volume analysis.
Volume-Confirmed Price Momentum# **Volume-Confirmed Price Momentum (VCPM) Indicator**
## **🔍 Overview**
Introducing the **Volume-Confirmed Price Momentum (VCPM)**, a sophisticated dual-metric indicator designed to identify high-probability momentum moves by analyzing the relationship between price action and volume dynamics. This indicator combines correlation analysis with volume strength validation to filter out weak signals and highlight institutional-backed movements.
---
## **⚙️ Core Mechanics**
**Price-Volume Correlation Engine:**
- Calculates real-time correlation between price movements and volume
- Configurable lookback period (default: 8 bars)
- Option to use price changes or absolute values
- Correlation range: -1.0 (perfect negative) to +1.0 (perfect positive)
**Volume Strength Analyzer:**
- Compares current volume against its moving average (default: 128 periods)
- Normalizes volume ratio to 0-1 scale for consistent interpretation
- Identifies when volume significantly exceeds historical norms
---
## **📊 Signal Generation**
### **🟢 Bullish Confirmation Signal**
**Trigger:** Positive correlation > 0.6 + Volume ratio > 0.5
- Price and volume moving in harmony upward
- Above-average volume confirms the move
- Indicates strong institutional buying interest
### **🔴 Bearish Confirmation Signal**
**Trigger:** Negative correlation < -0.6 + Volume ratio > 0.5
- Price declining with increasing volume
- Suggests distribution or institutional selling
- High-confidence bearish momentum
---
## **🎯 Trading Applications**
**Breakout Validation:**
Filter false breakouts by requiring volume confirmation before entering positions.
**Trend Continuation:**
Identify when existing trends have strong volume backing for continuation plays.
**Distribution Detection:**
Spot potential tops when price struggles despite high volume (negative correlation).
**Entry Timing:**
Built-in alert system notifies when both conditions align for optimal entry points.
---
## **🔧 Customization Features**
- **Correlation Period:** Adjust sensitivity (2-500 bars)
- **Volume Averaging:** Modify volume comparison timeframe
- **Alert Thresholds:** Fine-tune correlation and volume ratio triggers
- **Visual Options:** Toggle volume histogram display
- **Price Source:** Choose from OHLC or custom sources
---
## **💡 Why VCPM Works**
Traditional momentum indicators often generate false signals during low-volume periods. VCPM solves this by requiring **dual confirmation**: price momentum must be supported by corresponding volume activity. This approach:
- Reduces whipsaws and false breakouts
- Identifies institutional participation
- Provides higher conviction trade setups
- Works across all timeframes and markets
---
## **📈 Best Use Cases**
✅ **Crypto markets** (high volatility, volume-driven)
✅ **Stock breakouts** (earnings, news events)
✅ **Forex majors** (during high-impact news)
✅ **Futures trading** (momentum confirmation)
---
## **⚠️ Important Notes**
- Works best in liquid markets with consistent volume data
- Combine with support/resistance levels for enhanced accuracy
- Consider market context (trending vs. ranging conditions)
- Not recommended for extremely low-volume periods
---
## **🚀 Getting Started**
1. Add VCPM to your chart as a sub-panel indicator
2. Configure correlation threshold (start with 0.6)
3. Set volume ratio threshold (start with 0.5)
4. Enable alerts for automated signal detection
5. Backtest on your preferred timeframe and instrument
---
**Ready to enhance your momentum trading with volume confirmation? Try VCPM and experience the difference institutional-backed signals can make in your trading results.**
*Available in Pine Script v6 - Compatible with all TradingView accounts*
Chaikin Oscillator Enhanced📊 What Is the Chaikin Oscillator?
The Chaikin Oscillator is a momentum indicator that helps traders understand the strength of buying and selling pressure in the market, based on volume and price movement.
It is calculated as the difference between two moving averages (short-term and long-term) of the Accumulation/Distribution Line (A/D Line). This line combines price and volume to show whether money is flowing into or out of an asset.
________________________________________
🧠 Simple Concept
• When big traders are buying, they usually do so with volume support—the Chaikin Oscillator picks this up.
• When volume is rising but price is falling, or vice versa, it shows hidden strength or weakness.
So, this indicator helps you see what the smart money is doing, even if the price isn’t moving much.
________________________________________
🛠️ How It Works
• Oscillator Value Above Zero → More buying pressure (bullish).
• Oscillator Value Below Zero → More selling pressure (bearish).
• Crossing above zero → A potential buy signal.
• Crossing below zero → A potential sell signal.
The histogram (vertical bars) in the indicator changes color:
• Green bars = Positive momentum.
• Red bars = Negative momentum.
________________________________________
🎯 How Traders Use It for Entry and Exit
✅ For Entries:
• Buy Entry: When the oscillator crosses above the zero line and the bars turn green, it means buyers are stepping in with volume.
• For better confirmation, combine it with price breaking above a resistance level.
❌ For Exits or Shorts:
• Sell Exit or Short Entry: When the oscillator crosses below the zero line and bars turn red, it suggests selling pressure is growing.
• If the price is also below support, it’s a stronger signal.
________________________________________
🔍 Example Use Case:
1. You’re watching a stock or crypto that's been going sideways.
2. Suddenly, the Chaikin Oscillator crosses above zero, and green bars appear.
3. That’s your early clue that big buyers might be entering.
4. If price confirms this with a breakout, you can enter a long position.
________________________________________
🌐 Where Is It Useful?
The Chaikin Oscillator is great for:
• Stocks (especially volume-heavy large caps)
• ETFs
• Cryptocurrency (on exchanges that provide volume data)
• Forex – less reliable unless volume is proxy-based
⚠️ Important: It won’t work well on instruments where volume data is missing or unreliable (like some CFDs or synthetic assets).
________________________________________
🧭 Pro Tips for Using It:
• Combine it with support/resistance, moving averages, or candlestick patterns.
• Avoid trading only based on this indicator—use it as confirmation.
• Use the alerts (added in the script) so you don’t miss key movements.
________________________________________
EVaR Indicator and Position SizingThe Problem:
Financial markets consistently show "fat-tailed" distributions where extreme events occur with higher frequency than predicted by normal distributions (Gaussian or even log-normal). These fat tails manifest in sudden price crashes, volatility spikes, and black swan events that traditional risk measures like volatility can underestimate. Standard deviation and conventional VaR calculations assume normally distributed returns, leaving traders vulnerable to severe drawdowns during market stress.
Cryptocurrencies and volatile instruments display particularly pronounced fat-tailed behavior, with extreme moves occurring 5-10 times more frequently than normal distribution models would predict. This reality demands a more sophisticated approach to risk measurement and position sizing.
The Solution: Entropic Value at Risk (EVAR)
EVaR addresses these limitations by incorporating principles from statistical mechanics and information theory through Tsallis entropy. This advanced approach captures the non-linear dependencies and power-law distributions characteristic of real financial markets.
Entropy is more adaptive than standard deviations and volatility measures.
I was inspired to create this indicator after reading the paper " The End of Mean-Variance? Tsallis Entropy Revolutionises Portfolio Optimisation in Cryptocurrencies " by by Sana Gaied Chortane and Kamel Naoui.
Key advantages of EVAR over traditional risk measures:
Superior tail risk capture: More accurately quantifies the probability of extreme market moves
Adaptability to market regimes: Self-calibrates to changing volatility environments
Non-parametric flexibility: Makes less assumptions about the underlying return distribution
Forward-looking risk assessment: Better anticipates potential market changes (just look at the charts :)
Mathematically, EVAR is defined as:
EVAR_α(X) = inf_{z>0} {z * log(1/α * M_X(1/z))}
Where the moment-generating function is calculated using q-exponentials rather than conventional exponentials, allowing precise modeling of fat-tailed behavior.
Technical Implementation
This indicator implements EVAR through a q-exponential approach from Tsallis statistics:
Returns Calculation: Price returns are calculated over the lookback period
Moment Generating Function: Approximated using q-exponentials to account for fat tails
EVAR Computation: Derived from the MGF and confidence parameter
Normalization: Scaled to for intuitive visualization
Position Sizing: Inversely modulated based on normalized EVAR
The q-parameter controls tail sensitivity—higher values (1.5-2.0) increase the weighting of extreme events in the calculation, making the model more conservative during potentially turbulent conditions.
Indicator Components
1. EVAR Risk Visualization
Dynamic EVAR Plot: Color-coded from red to green normalized risk measurement (0-1)
Risk Thresholds: Reference lines at 0.3, 0.5, and 0.7 delineating risk zones
2. Position Sizing Matrix
Risk Assessment: Current risk level and raw EVAR value
Position Recommendations: Percentage allocation, dollar value, and quantity
Stop Parameters: Mathematically derived stop price with percentage distance
Drawdown Projection: Maximum theoretical loss if stop is triggered
Interpretation and Application
The normalized EVAR reading provides a probabilistic risk assessment:
< 0.3: Low risk environment with minimal tail concerns
0.3-0.5: Moderate risk with standard tail behavior
0.5-0.7: Elevated risk with increased probability of significant moves
> 0.7: High risk environment with substantial tail risk present
Position sizing is automatically calculated using an inverse relationship to EVAR, contracting during high-risk periods and expanding during low-risk conditions. This is a counter-cyclical approach that ensures consistent risk exposure across varying market regimes, especially when the market is hyped or overheated.
Parameter Optimization
For optimal risk assessment across market conditions:
Lookback Period: Determines the historical window for risk calculation
Q Parameter: Controls tail sensitivity (higher values increase conservatism)
Confidence Level: Sets the statistical threshold for risk assessment
For cryptocurrencies and highly volatile instruments, a q-parameter between 1.5-2.0 typically provides the most accurate risk assessment because it helps capturing the fat-tailed behavior characteristic of these markets. You can also increase the q-parameter for more conservative approaches.
Practical Applications
Adaptive Risk Management: Quantify and respond to changing tail risk conditions
Volatility-Normalized Positioning: Maintain consistent exposure across market regimes
Black Swan Detection: Early identification of potential extreme market conditions
Portfolio Construction: Apply consistent risk-based sizing across diverse instruments
This indicator is my own approach to entropy-based risk measures as an alterative to volatility and standard deviations and it helps with fat-tailed markets.
Enjoy!
Tsallis Entropy Market RiskTsallis Entropy Market Risk Indicator
What Is It?
The Tsallis Entropy Market Risk Indicator is a market analysis tool that measures the degree of randomness or disorder in price movements. Unlike traditional technical indicators that focus on price patterns or momentum, this indicator takes a statistical physics approach to market analysis.
Scientific Foundation
The indicator is based on Tsallis entropy, a generalization of traditional Shannon entropy developed by physicist Constantino Tsallis. The Tsallis entropy is particularly effective at analyzing complex systems with long-range correlations and memory effects—precisely the characteristics found in crypto and stock markets.
The indicator also borrows from Log-Periodic Power Law (LPPL).
Core Concepts
1. Entropy Deficit
The primary measurement is the "entropy deficit," which represents how far the market is from a state of maximum randomness:
Low Entropy Deficit (0-0.3): The market exhibits random, uncorrelated price movements typical of efficient markets
Medium Entropy Deficit (0.3-0.5): Some patterns emerging, moderate deviation from randomness
High Entropy Deficit (0.5-0.7): Strong correlation patterns, potentially indicating herding behavior
Extreme Entropy Deficit (0.7-1.0): Highly ordered price movements, often seen before significant market events
2. Multi-Scale Analysis
The indicator calculates entropy across different timeframes:
Short-term Entropy (blue line): Captures recent market behavior (20-day window)
Long-term Entropy (green line): Captures structural market behavior (120-day window)
Main Entropy (purple line): Primary measurement (60-day window)
3. Scale Ratio
This measures the relationship between long-term and short-term entropy. A healthy market typically has a scale ratio above 0.85. When this ratio drops below 0.85, it suggests abnormal relationships between timeframes that often precede market dislocations.
How It Works
Data Collection: The indicator samples price returns over specific lookback periods
Probability Distribution Estimation: It creates a histogram of these returns to estimate their probability distribution
Entropy Calculation: Using the Tsallis q-parameter (typically 1.5), it calculates how far this distribution is from maximum entropy
Normalization: Results are normalized against theoretical maximum entropy to create the entropy deficit measure
Risk Assessment: Multiple factors are combined to generate a composite risk score and classification
Market Interpretation
Low Risk Environments (Risk Score < 25)
Market is functioning efficiently with reasonable randomness
Price discovery is likely effective
Normal trading and investment approaches appropriate
Medium Risk Environments (Risk Score 25-50)
Increasing correlation in price movements
Beginning of trend formation or momentum
Time to monitor positions more closely
High Risk Environments (Risk Score 50-75)
Strong herding behavior present
Market potentially becoming one-sided
Consider reducing position sizes or implementing hedges
Extreme Risk Environments (Risk Score > 75)
Highly ordered market behavior
Significant imbalance between buyers and sellers
Heightened probability of sharp reversals or corrections
Practical Application Examples
Market Tops: Often characterized by gradually increasing entropy deficit as momentum builds, followed by extreme readings near the actual top
Market Bottoms: Can show high entropy deficit during capitulation, followed by normalization
Range-Bound Markets: Typically display low and stable entropy deficit measurements
Trending Markets: Often show moderate entropy deficit that remains relatively consistent
Advantages Over Traditional Indicators
Forward-Looking: Identifies changing market structure before price action confirms it
Statistical Foundation: Based on robust mathematical principles rather than empirical patterns
Adaptability: Functions across different market regimes and asset classes
Noise Filtering: Focuses on meaningful structural changes rather than price fluctuations
Limitations
Not a Timing Tool: Signals market risk conditions, not precise entry/exit points
Parameter Sensitivity: Results can vary based on the chosen parameters
Historical Context: Requires some historical perspective to interpret effectively
Complementary Tool: Works best alongside other analysis methods
Enjoy :)
Volume Overbought/Oversold Zones📊 What You’ll See on the Chart
Red Background or Red Triangle ABOVE a Candle
🔺 Means: Overbought Volume
→ Volume on that bar is much higher than average (as defined by your settings).
→ Suggests strong activity, possible exhaustion in the trend or an emotional spike.
→ It’s a warning: consider watching for signs of reversal, especially if price is already stretched.
Green Background or Green Triangle BELOW a Candle
🔻 Means: Oversold Volume
→ Volume on that bar is much lower than normal.
→ Suggests the market may be losing momentum, or few sellers are left.
→ Could signal an upcoming reversal or recovery if confirmed by price action.
Orange Line Below the Candles (Volume Moving Average)
📈 Shows the "normal" average volume over the last X candles (default is 20).
→ Helps you visually compare each bar’s volume to the average.
Gray Columns (Actual Volume Bars)
📊 These are your regular volume bars — they rise and fall based on how active each candle is.
🔍 What This Indicator Does (In Simple Words)
This indicator looks at trading volume—which is how many shares/contracts were traded in a given period—and compares it to what's considered "normal" for recent history. When volume is unusually high or low, it highlights those moments on the chart.
It tells you:
• When volume is much higher than normal → market might be overheated or experiencing a buying/selling frenzy.
• When volume is much lower than normal → market might be quiet, potentially indicating lack of interest or indecision.
These conditions are marked visually, so you can instantly spot them.
💡 How It Helps You As a Trader
1. Spotting Exhaustion in Trends (Overbought Signals)
If a market is going up and suddenly volume spikes way above normal, it may mean:
• The move is getting crowded (lots of buyers are already in).
• A reversal or pullback could be near because smart money may be taking profits.
Trading idea: Wait for high-volume up bars, then look for price weakness to consider a short or exit.
2. Identifying Hidden Opportunities (Oversold Signals)
If price is falling but volume drops unusually low, it might mean:
• Panic is fading.
• Sellers are losing energy.
• A bounce or trend reversal could happen soon.
Trading idea: After a volume drop in a downtrend, watch for bullish price patterns or momentum shifts to consider a buy.
3. Confirming or Doubting Breakouts
Volume is critical for confirming breakouts:
• If price breaks a key level with strong volume, it's more likely to continue.
• A breakout without volume could be a fake-out.
This indicator highlights volume surges that can help you confirm such moves.
📈 How to Use It in Practice
• Combine it with candlestick patterns, support/resistance, or momentum indicators.
• Use the background colors or shapes as a visual cue to pause and analyze.
• Adjust the sensitivity to suit fast-moving markets (like crypto) or slow ones (like large-cap stocks).
Quantum Reversal# 🧠 Quantum Reversal
## **Quantitative Mean Reversion Framework**
This algorithmic trading system employs **statistical mean reversion theory** combined with **adaptive volatility modeling** to capitalize on Bitcoin's inherent price oscillations around its statistical mean. The strategy integrates multiple technical indicators through a **multi-layered signal processing architecture**.
---
## ⚡ **Core Technical Architecture**
### 📊 **Statistical Foundation**
- **Bollinger Band Mean Reversion Model**: Utilizes 20-period moving average with 2.2 standard deviation bands for volatility-adjusted entry signals
- **Adaptive Volatility Threshold**: Dynamic standard deviation multiplier accounts for Bitcoin's heteroscedastic volatility patterns
- **Price Action Confluence**: Entry triggered when price breaches lower volatility band, indicating statistical oversold conditions
### 🔬 **Momentum Analysis Layer**
- **RSI Oscillator Integration**: 14-period Relative Strength Index with modified oversold threshold at 45
- **Signal Smoothing Algorithm**: 5-period simple moving average applied to RSI reduces noise and false signals
- **Momentum Divergence Detection**: Captures mean reversion opportunities when momentum indicators show oversold readings
### ⚙️ **Entry Logic Architecture**
```
Entry Condition = (Price ≤ Lower_BB) OR (Smoothed_RSI < 45)
```
- **Dual-Condition Framework**: Either statistical price deviation OR momentum oversold condition triggers entry
- **Boolean Logic Gate**: OR-based entry system increases signal frequency while maintaining statistical validity
- **Position Sizing**: Fixed 10% equity allocation per trade for consistent risk exposure
### 🎯 **Exit Strategy Optimization**
- **Profit-Lock Mechanism**: Positions only closed when showing positive unrealized P&L
- **Trend Continuation Logic**: Allows winning trades to run until momentum exhaustion
- **Dynamic Exit Timing**: No fixed profit targets - exits based on profitability state rather than arbitrary levels
---
## 📈 **Statistical Properties**
### **Risk Management Framework**
- **Long-Only Exposure**: Eliminates short-squeeze risk inherent in cryptocurrency markets
- **Mean Reversion Bias**: Exploits Bitcoin's tendency to revert to statistical mean after extreme moves
- **Position Management**: Single position limit prevents over-leveraging
### **Signal Processing Characteristics**
- **Noise Reduction**: SMA smoothing on RSI eliminates high-frequency oscillations
- **Volatility Adaptation**: Bollinger Bands automatically adjust to changing market volatility
- **Multi-Timeframe Coherence**: Indicators operate on consistent timeframe for signal alignment
---
## 🔧 **Parameter Configuration**
| Technical Parameter | Value | Statistical Significance |
|-------------------|-------|-------------------------|
| Bollinger Period | 20 | Standard statistical lookback for volatility calculation |
| Std Dev Multiplier | 2.2 | Optimized for Bitcoin's volatility distribution (95.4% confidence interval) |
| RSI Period | 14 | Traditional momentum oscillator period |
| RSI Threshold | 45 | Modified oversold level accounting for Bitcoin's momentum characteristics |
| Smoothing Period | 5 | Noise reduction filter for momentum signals |
---
## 📊 **Algorithmic Advantages**
✅ **Statistical Edge**: Exploits documented mean reversion tendency in Bitcoin markets
✅ **Volatility Adaptation**: Dynamic bands adjust to changing market conditions
✅ **Signal Confluence**: Multiple indicator confirmation reduces false positives
✅ **Momentum Integration**: RSI smoothing improves signal quality and timing
✅ **Risk-Controlled Exposure**: Systematic position sizing and long-only bias
---
## 🔬 **Mathematical Foundation**
The strategy leverages **Bollinger Band theory** (developed by John Bollinger) which assumes that prices tend to revert to the mean after extreme deviations. The RSI component adds **momentum confirmation** to the statistical price deviation signal.
**Statistical Basis:**
- Mean reversion follows the principle that extreme price deviations from the moving average are temporary
- The 2.2 standard deviation multiplier captures approximately 97.2% of price movements under normal distribution
- RSI momentum smoothing reduces noise inherent in oscillator calculations
---
## ⚠️ **Risk Considerations**
This algorithm is designed for traders with understanding of **quantitative finance principles** and **cryptocurrency market dynamics**. The strategy assumes mean-reverting behavior which may not persist during trending market phases. Proper risk management and position sizing are essential.
---
## 🎯 **Implementation Notes**
- **Market Regime Awareness**: Most effective in ranging/consolidating markets
- **Volatility Sensitivity**: Performance may vary during extreme volatility events
- **Backtesting Recommended**: Historical performance analysis advised before live implementation
- **Capital Allocation**: 10% per trade sizing assumes diversified portfolio approach
---
**Engineered for quantitative traders seeking systematic mean reversion exposure in Bitcoin markets through statistically-grounded technical analysis.**
