Price Action Visualizer (EMA/SMA Color Bars)This custom Pine Script indicator, "EMA(21) vs SMA(30) Color Bars," provides a unique and immediate visual representation of market bias by dynamically painting the candlesticks based on their position relative to two critical moving averages.
💡 What It Does:
The indicator calculates and plots the 21-period Exponential Moving Average (EMA) and the 30-period Simple Moving Average (SMA). It then analyzes the closing price of each candle and colors the entire candlestick (body and border) according to pre-defined trend conditions.
This visualization allows traders to identify strong trend environments versus periods of consolidation or indecision at a glance, removing the need to constantly check the price relationship manually.
🎨 Color Conditions and Meaning:
The indicator uses three distinct color states to signal the market's current momentum:
Color,Condition,Market Interpretation
🟢 GREEN,Closing Price is ABOVE both the 21 EMA AND the 30 SMA.,Strong Bullish Trend: Suggests high momentum and confirmation of an uptrend. Ideal for long bias.
🔴 RED,Closing Price is BELOW both the 21 EMA AND the 30 SMA.,Strong Bearish Trend: Suggests high downward pressure and confirmation of a downtrend. Ideal for short bias.
⚫ GRAY,"Closing Price is in any other state (e.g., between the two MAs, or under one and over the other).","Neutral / Consolidation: Indicates uncertainty, low momentum, or potential trend exhaustion/reversal. Caution is advised."
🔧 Customization Options:The indicator is fully customizable, allowing users to fine-tune the periods to match their preferred trading style (e.g., scalping, swing trading).Dĺžka EMA (Length EMA): Allows you to change the period for the Exponential Moving Average (default is 21).Dĺžka SMA (Length SMA): Allows you to change the period for the Simple Moving Average (default is 30).
加密货币
Vega Convexity Regime Filter [Institutional Lite]STOP TRADING THE NOISE.
90% of retail trading losses occur during "Chop"—sideways markets where standard trend-following bots bleed capital through slippage and fees. Institutional desks know that the secret to high returns isn't just winning trades; it's knowing when to sit in cash.
The Vega V6 Regime Filter is the "Gatekeeper" layer of our proprietary Hierarchical Machine Learning engine (developed by a 25-year TradFi Risk Quant). It calculates a composite volatility score to answer one simple question: Is this asset tradeable right now?
THE VISUAL LOGIC
This indicator visually filters market conditions into two distinct Regimes based on our institutional backtests:
🌫️ GREY BARS (Noise / Chop)
The State: Volatility is compressing. The trend is undefined or weak.
The Trap: This is where MACD/RSI give false signals.
Institutional Action: Sit in Cash. Preserve Capital. Wait.
🟢 🔴 COLORED BARS (Impulse)
The State: Volatility is expanding. Momentum is statistically significant.
The Opportunity: A "Fat-Tail" move is likely beginning.
Institutional Action: Deploy Risk. Look for entries.
HOW IT WORKS (The Math)
Unlike simple moving average crossovers, the Vega Gatekeeper analyzes 4 distinct market dimensions simultaneously to generate a Tradeability Score (0-10) :
Trend Strength (ADX): Is there a vector?
Momentum (RSI/MACD): Is the move accelerating?
Volatility (Bollinger Bands): Is the range expanding?
Volume Flow: Is there institutional participation?
The Rule: If the composite score is < 4 , the market is Noise. The bars turn Grey. You do nothing.
BEST PRACTICES
For Swing Trading (Daily): Use Medium sensitivity. Only look for entries when the background turns Green/Red.
For Day Trading (4H/1H): Use Low sensitivity (more conservative). Use the Grey zones to tighten stops or exit positions.
THE PHILOSOPHY: "CASH IS A POSITION"
Most traders feel the need to be in a trade 24/7. The Vega V6 Engine (the system this tool is based on) achieved a +3,849% backtested return (18 months) largely by sitting in cash during chop. This tool visualizes that discipline.
🔒 WANT THE DIRECTIONAL SIGNALS?
This Lite version provides the Regime (When to trade).
To get the specific Entry Signals , Intraday Stop-Losses , and Probability Matrix (Stage 2 of our model), you need the Vega V6 Convexity Engine .
The Pro Version includes:
🚀 Specific Direction: Classification of "Explosion," "Rally," or "Crash."
🛡️ Dynamic Risk: Plots the exact Stop Loss levels used in our institutional backtests.
🌊 Macro Data: Integration of M2 Liquidity flow alerts.
👉 ACCESS INSTRUCTIONS:
Links to the Pro System , our Live Dashboard , and the 18-Month Performance Audit can be found in the Author Profile below or in the script settings.
Disclaimer: This tool is for educational purposes only. Past performance is not indicative of future results. Trading cryptocurrencies involves significant risk.
NEURAL FLOW | The AI-Powered Regime Classifier [by @Ash_TheTrade📉 Stop Trading Blindly. Filter the Noise with AI.
Why do your favorite strategies work perfectly one week and bleed your account the next?
The answer is simple: Context.
A Moving Average crossover works in a trend but gets slaughtered in chop. RSI works in a range but fails in a strong breakout. Most indicators are "dumb"—they apply the same math regardless of the market's current reality.
I created Neural Flow to fix this.
Developed by @Ash_TheTrader, this isn't just another buy/sell arrow indicator. It is a sophisticated market Regime Classifier built on concepts derived from machine learning (Lorentzian Distance algorithms).
It doesn't just tell you where price is; it tells you what the market is doing.
🧠 The Concept: How It Works
The core idea behind this script is simple yet powerful: Don't trade unless the environment is right.
The Neural Flow algorithm acts like a veteran trader watching over your shoulder. It analyzes multiple "neurons" (data points representing momentum, volatility, and cyclicality) and compares the current price action to historical data.
By identifying what "state" the market is currently in, it paints your chart in real-time, acting as the ultimate filter for any strategy you use.
👁️ The 4 Market Regimes
The indicator instantly classifies the market into one of four distinct states, visualizing them with a full-chart background glow and candle painting:
1. 🐂 Bull Trend (Neon Green)
The market has clear upward momentum, healthy RSI, and strong trend orientation.
Action: Look for Long entries. Buy dips.
2. 🐻 Bear Trend (Neon Red)
The market has clear downward momentum and weak underlying metrics.
Action: Look for Short entries. Sell rallies.
3. 🚫 CHOP (Grey/Monochrome)
This is the most important feature. The AI has detected low volatility squeeze conditions or directionless ADX. This is where 80% of traders lose money due to fake-outs and whipsaws.
Action: DO NOT TRADE. Sit on your hands and preserve capital.
4. ⚡ Breakout Detected (Gold/Yellow)
The algorithm has detected a sudden, violent expansion in volatility (Bollinger Width explosion) following a period of chop. The direction is not yet confirmed, but a big move is imminent.
Action: Get ready. Watch for a transition into a Bull or Bear regime.
💻 The Glassmorphism Dashboard & AI Confidence
In the corner of your chart, you will find a futuristic, transparent "Glass UI" dashboard designed by @Ash_TheTrader.
It provides instant situational awareness without cluttering your view.
The AI Confidence Score:
This is your conviction meter. It calculates how aligned the various "neurons" of the algorithm are (ranging from 0% to 100%).
A Bull Trend with 40% Confidence might be weak and prone to reversal.
A Bull Trend with 85%+ Confidence indicates strong confluence across multiple data points.
Pro Tip from @Ash_TheTrader: Only take trades when the AI Confidence is above 75%.
🚀 How to Use This in Your Trading
This tool is designed to be versatile.
As a Strategy Filter (Recommended): Use your existing favorite strategy (e.g., MACD, SMC, Price Action). Before taking a trade, glance at the Neural Flow background.
Your strategy says Buy, but the background is Grey (Chop)? Skip the trade.
Your strategy says Sell, and the background is Red (Bear)? Take the trade with confidence.
As a Standalone System: Wait for the market to transition out of "Grey Chop" into a "Green Bull" or "Red Bear" regime. Confirm that the "AI Confidence" on the dashboard is high (>70%), and enter in the direction of the new trend.
⚙️ Settings & Customization
While the default settings are tuned for most markets, @Ash_TheTrader believes in flexibility:
Training Window: Adjust the sensitivity of the regime detection.
Visuals: Customize all colors to match your chart aesthetic.
Glass Dashboard: Move it, resize it, or turn it off completely.
Baseline EMA: Toggle the 50-period baseline reference line on or off to keep your charts ultra-clean.
A Note from the Author:
"Trading isn't about catching every move; it's about catching the right moves and staying safe during the noise. I built this tool to help me instantly recognize when to step on the gas and when to hit the brakes. I hope it brings clarity to your charts."
— @Ash_TheTrader
Disclaimer: This tool is for informational purposes only and does not constitute financial advice. Always manage your risk.
VCAI Stochastic RSI+VCAI Stoch RSI+ is a cleaned-up Stochastic RSI built with V-Core colours for faster, clearer momentum reads and more reliable OB/OS signals.
What it shows:
Purple %K line → bearish momentum strengthening
Yellow %D line → bullish momentum building and smoothing
Soft purple/yellow background bands → OB/OS exhaustion zones, not just raw 80/20 triggers
Midline at 50 → balance point where momentum shifts between bull- and bear-side control
Optional HTF mode → run Stoch RSI from any timeframe while viewing it on your current chart
How to read it:
Both lines rising out of OS → early bullish shift; pullbacks that hold direction favour continuation
Both lines falling from OB → early bearish shift; bounces into the purple OB zone can become fade setups
Lines stacked and moving together → strong, cleaner momentum
Lines crossing repeatedly → low-conviction, choppy conditions
OB/OS shading highlights exhaustion so you focus on moves with context, not every 80/20 tick
Why it’s different:
Classic Stoch RSI is hyper-sensitive and mostly noise.
VCAI Stoch RSI+ applies V-Core’s colour-driven regime logic, controlled OB/OS shading, and optional HTF smoothing so you see momentum structure instead of clutter — making it easier to judge when momentum is genuinely shifting and when it’s just another wiggle.
VCAI RSI Divergence +VCAI RSI Divergence+ is an RSI that shows trend, momentum, and divergence using V-CoresAI colour logic instead of a single white line.
What it shows:
Yellow RSI line → bullish momentum (RSI above its MA; buy-side pressure in control)
Purple RSI line → bearish momentum (RSI below its MA; sell-side pressure in control)
Thin blue line → fast RSI moving average that drives the colour flips
Dashed 70/30 lines → classic OB/OS zones
Background bands → soft purple in OB, soft yellow in OS to mark exhaustion areas
How to read it:
Yellow & rising → momentum shifting bullish; pullbacks into yellow OS band can be accumulation zones
Purple & falling → momentum shifting bearish; pushes into purple OB band can be distribution/sell zones
Hard colour flips (yellow ↔ purple) mark trend regime changes, not minor RSI noise
Divergence mode (on/off)
The divergence engine scans RSI and price pivot structure:
Bullish divergence (yellow) → price lower low + RSI higher low
Bearish divergence (purple) → price higher high + RSI lower high
Lines and tags appear only where a meaningful disagreement between price and RSI exists, giving early context for potential reversals or fade setups.
Together, the momentum colours + optional divergence mapping give a far clearer market read than a standard RSI, with zero clutter and no guesswork.
Structure Break ModelMAIN FEATURES
Supported Assets & Timeframe
This indicator is specifically designed and calibrated for 30 USDT trading pairs on the H4 timeframe, all of which have been actively traded for over 1,000 days, including:
BTCUSDT, ETHUSDT, XRPUSDT, BNBUSDT, SOLUSDT, TRXUSDT, DOGEUSDT, ADAUSDT, XLMUSDT, BCHUSDT,
ZECUSDT, LINKUSDT, HBARUSDT, UNIUSDT, LTCUSDT, AVAXUSDT, SHIBUSDT, DOTUSDT, AAVEUSDT, NEARUSDT,
ETCUSDT, ICPUSDT, FILUSDT, APTUSDT, ENSUSDT, ATOMUSDT, VETUSDT, QNTUSDT, CRVUSDT, INJUSDT
Using the script on other pairs or timeframes will trigger an automatic warning to prevent incorrect usage.
1. Structural Weakening Model (Core Logic)
At the heart of the system lies the Structural Weakening Model (SWM) — a multi-layered market-structure engine that identifies momentum exhaustion and confirms genuine reversals using pivot-based swing architecture.
Pivot Structure Mapping
The indicator continuously analyzes Pivot Highs and Pivot Lows (length = 5) to establish clean, stable swing structure.
Weakening Pattern Detection
The model evaluates directional fatigue by detecting pivot sequences:
2–6 Higher Lows → Weakening buyers → Potential SELL setup
2–6 Lower Highs → Weakening sellers → Potential BUY setup
This mechanism identifies “compression zones” where market pressure fades before a structural shift.
Breakout Confirmation Layer
A signal is only triggered when price breaks the final structural anchor of the pivot chain.
This ensures:
Optional Trend Filter (MA Alignment)
Users may select EMA, SMA, WMA, HMA and more.
Price above MA → BUY-only mode
Price below MA → SELL-only mode
This keeps signals aligned with broader market flow.
Visual Example – SELL Signal (TP Hit)
2. Signal Conditions (How the System Works)
SELL Setups
Triggered when:
Price forms 2–6 higher lows, signaling weakening buyers
Price breaks below the structural pivot anchor
(Optional) Price is below the MA filter
BUY Setups
Triggered when:
Price forms 2–6 lower highs, signaling weakening sellers
Price breaks above the structural pivot anchor
(Optional) Price is above the MA filter
Visual Example – SELL Signal (SL Hit)
3. Automatic Capital Management
The script integrates full risk-management utilities:
Starting capital (default 10,000 USDT)
Risk % per trade
Leverage (x10 → x100)
Automatic position sizing
Margin requirements
Real-time TP/SL calculations
This turns the indicator into not just a signal tool, but a complete trading assistant.
4. Flexible Stop-Loss System
Users may choose:
Swing-based SL (nearest structural pivot)
Fixed SL %
Custom TP based on R:R (1:1.5 → 1:5)
Default R:R = 1:2
SL/TP levels update instantly whenever settings change.
Input Settings Menu
5. Visual Interface
The chart displays:
Entry, TP, SL (extended 20 candles)
BUY/SELL labels
Real-time TP/SL hit status
Full info panel:
Latest signal
Entry price
TP/SL
Leverage
Risk %
Required margin
Win/loss & R statistics
Days on chart: The total number of trading days calculated from your chart’s visible data
All signals follow the exact same logic in historical and real-time charts.
Zero repainting.
6. Internal Backtest Engine (Not Official TradingView Backtesting)
The script includes an internal backtest calculator that evaluates:
SL methods
TP R:R settings
Signal quality
Aggregate R performance
⚠ This is an internal calculation tool, not the official TradingView Strategy Tester.
Its purpose is to help users understand how different settings behave when applied to past data.
7. 1-Day Free Trial
Users may message the author on TradingView to request:
1-day trial access
Ability to test signals in real-time
Compare different SL/RR settings
Verify that the indicator does not repaint
Inspect how the engine behaves on the supported 30-coin dataset
This allows users to evaluate the tool transparently before subscribing.
8. Market Coverage & Deep Backtest Basis This indicator is calibrated on the 30 largest USDT pairs, providing a deep historical dataset with stable liquidity and clearer structural swings. The long backtest range and high signal density help reduce noise and ensure more consistent behavior across different market conditions.
⚠ Disclaimer
This indicator is a quantitative analysis tool created for educational purposes only.
All “optimal settings” are derived from historical market behavior and do not guarantee future performance.
Market conditions change, and every trader must apply independent risk management.
Trading involves risk.
Use responsibly.
Open Interest Z-Score [BackQuant]Open Interest Z-Score
A standardized pressure gauge for futures positioning that turns multi venue open interest into a Z score, so you can see how extreme current positioning is relative to its own history and where leverage is stretched, decompressing, or quietly re loading.
What this is
This indicator builds a single synthetic open interest series by aggregating futures OI across major derivatives venues, then standardises that aggregated OI into a rolling Z score. Instead of looking at raw OI or a simple change, you get a normalized signal that says "how many standard deviations away from normal is positioning right now", with optional smoothing, reference bands, and divergence detection against price.
You can render the Z score in several plotting modes:
Line for a clean, classic oscillator.
Colored line that encodes both sign and momentum of OI Z.
Oscillator histogram that makes impulses and compressions obvious.
The script also includes:
Aggregated open interest across Binance, Bybit, OKX, Bitget, Kraken, HTX, and Deribit, using multiple contract suffixes where applicable.
Choice of OI units, either coin based or converted to USD notional.
Standard deviation reference lines and adaptive extreme bands.
A flexible smoothing layer with multiple moving average types.
Automatic detection of regular and hidden divergences between price and OI Z.
Alerts for zero line and ±2 sigma crosses.
Aggregated open interest source
At the core is the same multi venue OI aggregation engine as in the OI RSI tool, adapted from NoveltyTrade's work and extended for this use case. The indicator:
Anchors on the current chart symbol and its base currency.
Loops over a set of exchanges, gated by user toggles:
Binance.
Bybit.
OKX.
Bitget.
Kraken.
HTX.
Deribit.
For each exchange, loops over several contract suffixes such as USDT.P, USD.P, USDC.P, USD.PM to cover the common perp and margin styles.
Requests OI candles for each exchange plus suffix pair into a small custom OI type that carries open, high, low and close of open interest.
Converts each OI stream into a common unit via the sw method:
In COIN mode, OI is normalized relative to the coin.
In USD mode, OI is scaled by price to approximate notional.
Exchange specific scaling factors are applied where needed to match contract multipliers.
Accumulates all valid OI candles into a single combined OI "candle" by summing open, high, low and close across venues.
The result is oiClose , a synthetic close for aggregated OI that represents cross venue positioning. If there is no valid OI data for the symbol after this process, the script throws a clear runtime error so you know the market is unsupported rather than quietly plotting nonsense.
How the Z score is computed
Once the aggregated OI close is available, the indicator computes a rolling Z score over a configurable lookback:
Define subject as the aggregated OI close.
Compute a rolling mean of this subject with EMA over Z Score Lookback Period .
Compute a rolling standard deviation over the same length.
Subtract the mean from the current OI and divide by the standard deviation.
This gives a raw Z score:
oi_z_raw = (subject − mean) ÷ stdDev .
Instead of plotting this raw value directly, the script passes it through a smoothing layer:
You pick a Smoothing Type and Smoothing Period .
Choices include SMA, HMA, EMA, WMA, DEMA, RMA, linear regression, ALMA, TEMA, and T3.
The helper ma function applies the chosen smoother to the raw Z score.
The result is oi_z , a smoothed Z score of aggregated open interest. A separate EMA with EMA Period is then applied on oi_z to create a signal line ma that can be used for crossovers and trend reads.
Plotting modes
The Plotting Type input controls how this Z score is rendered:
1) Line
In line mode:
The smoothed OI Z score is plotted as a single line using Base Line Color .
The EMA overlay is optionally plotted if Show EMA is enabled.
This is the cleanest view when you want to treat OI Z like a standard oscillator, watching for zero line crosses, swings, and divergences.
2) Colored Line
Colored line mode adds conditional color logic to the Z score:
If the Z score is above zero and rising, it is bright green, representing positive and strengthening positioning pressure.
If the Z score is above zero and falling, it shifts to a cooler cyan, representing positive but weakening pressure.
If the Z score is below zero and falling, it is bright red, representing negative and strengthening pressure (growing net de risking or shorting).
If the Z score is below zero and rising, it is dark red, representing negative but recovering pressure.
This mapping makes it easy to see not only whether OI is above or below its historical mean, but also whether that deviation is intensifying or fading.
3) Oscillator
Oscillator mode turns the Z score into a histogram:
The smoothed Z score is plotted as vertical columns around zero.
Column colors use the same conditional palette as colored line mode, based on sign and change direction.
The histogram base is zero, so bars extend up into positive Z and down into negative Z.
Oscillator mode is useful when you care about impulses in positioning, for example sharp jumps into positive Z that coincide with fast builds in leverage, or deep spikes into negative Z that show aggressive flushes.
4) None
If you only want reference lines, extreme bands, divergences, or alerts without the base oscillator, you can set plotting to None and keep the rest of the tooling active.
The EMA overlay respects plotting mode and only appears when a visible Z score line or histogram is present.
Reference lines and standard deviation levels
The Select Reference Lines input offers two styles:
Standard Deviation Levels
Plots small markers at zero.
Draws thin horizontal lines at +1, +2, −1 and −2 Z.
Acts like a classic Z score ladder, zero as mean, ±1 as normal band, ±2 as outer band.
This mode is ideal if you want a textbook statistical framing, using ±1 and ±2 sigma as standard levels for "normal" versus "extended" positioning.
Extreme Bands
Extreme bands build on the same ±1 and ±2 lines, then add:
Upper outer band between +3 and +4 Z.
Lower outer band between −3 and −4 Z.
Dynamic fill colors inside these bands:
If the Z score is positive, the upper band fill turns red with an alpha that scales with the magnitude of |Z|, capped at a chosen max strength. Stronger deviations towards +4 produce more opaque red fills.
If the Z score is negative, the lower band fill turns green with the same adaptive alpha logic, highlighting deep negative deviations.
Opposite side bands remain a faint neutral white when not in use, so they still provide structural context without shouting.
This creates a visual "danger zone" for position crowding. When the Z score enters these outer bands, open interest is many standard deviations away from its mean and you are dealing with rare but highly loaded positioning states.
Z score as a positioning pressure gauge
Because this is a Z score of aggregated open interest, it measures how unusual current positioning is relative to its own recent history, not just whether OI is rising or falling:
Z near zero means total OI is roughly in line with normal conditions for your lookback window.
Positive Z means OI is above its recent mean. The further above zero, the more "crowded" or extended positioning is.
Negative Z means OI is below its recent mean. Deep negatives often mark post flush environments where leverage has been cleared and the market is under positioned.
The smoothing options help control how much noise you want in the signal:
Short Z score lookback and short smoothing will react quickly, suited for short term traders watching intraday positioning shocks.
Longer Z score lookback with smoother MA types (EMA, RMA, T3) give a slower, more structural view of where the crowd sits over days to weeks.
Divergences between price and OI Z
The indicator includes automatic divergence detection on the Z score versus price, using pivot highs and lows:
You configure Pivot Lookback Left and Pivot Lookback Right to control swing sensitivity.
Pivots are detected on the OI Z series.
For each eligible pivot, the script compares OI Z and price at the last two pivots.
It looks for four patterns:
Regular Bullish – price makes a lower low, OI Z makes a higher low. This can indicate selling exhaustion in positioning even as price washes out. These are marked with a line and a label "ℝ" below the oscillator, in the bullish color.
Hidden Bullish – price makes a higher low, OI Z makes a lower low. This suggests continuation potential where price holds up while positioning resets. Marked with "ℍ" in the bullish color.
Regular Bearish – price makes a higher high, OI Z makes a lower high. This is a classic warning sign of trend exhaustion, where price pushes higher while OI Z fails to confirm. Marked with "ℝ" in the bearish color.
Hidden Bearish – price makes a lower high, OI Z makes a higher high. This is often seen in pullbacks within downtrends, where price retraces but positioning stretches again in the direction of the prevailing move. Marked with "ℍ" in the bearish color.
Each divergence type can be toggled globally via Show Detected Divergences . Internally, the script restricts how far back it will connect pivots, so you do not get stray signals linking very old structures to current bars.
Trading applications
Crowding and squeeze risk
Z scores are a natural way to talk about crowding:
High positive Z in aggregated OI means the market is running high leverage compared to its own norm. If price is also extended, the risk of a squeeze or sharp unwind rises.
Deep negative Z means leverage has been cleaned out. While it can be painful to sit through, this environment often sets up cleaner new trends, since there is less one sided positioning to unwind.
The extreme bands at ±3 to ±4 highlight the rare states where crowding is most intense. You can treat these events as regime markers rather than day to day noise.
Trend confirmation and fade selection
Combine Z score with price and trend:
Bull trends with positive and rising Z are supported by fresh leverage, usually more persistent.
Bull trends with flat or falling Z while price keeps grinding up can be more fragile. Divergences and extreme bands can help identify which edges you do not want to fade and which you might.
In downtrends, deep negative Z that stays pinned can mean persistent de risking. Once the Z score starts to mean revert back toward zero, it can mark the early stages of stabilization.
Event and liquidation context
Around major events, you often see:
Rapid spikes in Z as traders rush to position.
Reversal and overshoot as liquidations and forced de risking clear the book.
A move from positive extremes through zero into negative extremes as the market transitions from crowded to under exposed.
The Z score makes that path obvious, especially in oscillator mode, where you see a block of high positive bars before the crash, then a slab of deep negative bars after the flush.
Settings overview
Z Score group
Plotting Type – None, Line, Colored Line, Oscillator.
Z Score Lookback Period – window used for mean and standard deviation on aggregated OI.
Smoothing Type – SMA, HMA, EMA, WMA, DEMA, RMA, linear regression, ALMA, TEMA or T3.
Smoothing Period – length for the selected moving average on the raw Z score.
Moving Average group
Show EMA – toggle EMA overlay on Z score.
EMA Period – EMA length for the signal line.
EMA Color – color of the EMA line.
Thresholds and Reference Lines group
Select Reference Lines – None, Standard Deviation Levels, Extreme Bands.
Standard deviation lines at 0, ±1, ±2 appear in both modes.
Extreme bands add filled zones at ±3 to ±4 with adaptive opacity tied to |Z|.
Extra Plotting and UI
Base Line Color – default color for the simple line mode.
Line Width – thickness of the oscillator line.
Positive Color – positive or bullish condition color.
Negative Color – negative or bearish condition color.
Divergences group
Show Detected Divergences – master toggle for divergence plotting.
Pivot Lookback Left and Pivot Lookback Right – how many bars left and right to define a pivot, controlling divergence sensitivity.
Open Interest Source group
OI Units – COIN or USD.
Exchange toggles for Binance, Bybit, OKX, Bitget, Kraken, HTX, Deribit.
Internally, all enabled exchanges and contract suffixes are aggregated into one synthetic OI series.
Alerts included
The indicator defines alert conditions for several key events:
OI Z Score Positive – Z crosses above zero, aggregated OI moves from below mean to above mean.
OI Z Score Negative – Z crosses below zero, aggregated OI moves from above mean to below mean.
OI Z Score Enters +2σ – Z enters the +2 band and above, marking extended positive positioning.
OI Z Score Enters −2σ – Z enters the −2 band and below, marking extended negative positioning.
Tie these into your strategy to be notified when leverage moves from normal to extended states.
Notes
This indicator does not rely on price based oscillators. It is a statistical lens on cross venue open interest, which makes it a complementary tool rather than a replacement for your existing price or volume signals. Use it to:
Quantify how unusual current futures positioning is compared to recent history.
Identify crowded leverage phases that can fuel squeezes.
Spot structural divergences between price and positioning.
Frame risk and opportunity around events and regime shifts.
It is not a complete trading system. Combine it with your own entries, exits and risk rules to get the most out of what the Z score is telling you about positioning pressure under the hood of the market.
VCAI Volume LiteVCAI Volume Lite is a clean, modern take on volume analysis designed for traders who want a clearer read on participation without loading multiple indicators.
This Lite edition focuses on the essentials:
real activity vs dead sessions
expansion vs contraction
momentum shifts around breakouts and pullbacks
No hype, no filters, no hidden logic — just a straightforward volume tool rebuilt with the VCAI visual framework.
Use it to quickly spot:
stronger moves backed by genuine participation
weak pushes running on low volume
areas where momentum may stall or accelerate
Part of the VCAI Lite Series.
DeM Trend Bias Strength with Alerts (RB Trading)This tool is built to help users understand trend direction, exhaustion, and momentum shifts on the daily timeframe. It highlights when a market is transitioning from weakness to strength or strength to weakness by displaying color-coded bias bars. The script does not forecast future outcomes and should be used as an analytical aid.
Intended Usage
• Timeframe: Daily
• Instruments: Works on most FX pairs and liquid markets
• Style: Trend and bias evaluation
• Purpose: Identify early signs of momentum recovery within ongoing trends
How It Works
Bias Rotation Engine
The script measures directional pressure and smooths it into a bar display that changes color as conditions shift.
• Green bars show rising strength conditions
• Red bars show declining strength conditions
• Transitional periods often appear near market turning points and consolidation zones
This helps users visually separate healthy directional trends from weakening phases.
Trend Alignment Filter
The bars are designed to be interpreted alongside moving averages or broader trend tools. When the bars turn higher while price respects an upward structure, it often supports continuation themes. When the bars weaken during downward phases, it highlights potential areas where the trend retains control.
Identifying Exhaustion and Recovery
Repeated cycles in the bar display can highlight areas where:
• Downside pressure is fading before an upswing
• Upside pressure is fading before a pullback
• Consolidation is forming before a breakout
These transitions tend to align with moments shown in the image where the arrows mark bias shifts occurring before price acceleration.
How to Use It
• Wait for a clear color rotation before making any decisions
• Confirm with the daily trend and price structure
• Avoid using the tool by itself for entries
• Combine with support and resistance, moving averages, and candle structure
• Not intended for scalping or intraday signals
Why Daily Chart Works Best
The daily timeframe smooths out noise and gives the strength bars enough data to reveal genuine trend transitions. Higher timeframes also reduce false rotations that are common in lower timeframes.
Notes
The script does not predict or guarantee price movement. It processes historical inputs to help the user understand directional conditions. Each trader should apply their own risk plan and confirm levels before acting on any idea.
Adaptive Breakout & Risk Engine — Humontre EMA ProHumontre EMA Pro is a professional-grade trading system built for traders who want structure, clarity and real risk management integrated into every trade.
✔ No repainting
Instead of chasing signals or relying on unrealistic “high winrate” promises, this tool provides a consistent, repeatable process based on:
✔ Adaptive EMA breakout logic
✔ ATR-driven volatility channels
✔ Automatic SL/TP placement
✔ True R-multiple tracking
✔ Live trade visualization
✔ Smart signal filtering
✔ Performance statistics directly on the chart
This is more than an indicator — it’s a fully structured framework for traders who want discipline, confidence and objective risk management.
What’s included
✔ Private access to Humontre EMA Pro on TradingView
✔ Full feature set: breakout signals, EMA channel, risk engine
✔ Trailing stop system
✔ Live trade box & trade history table
✔ Win rate, profit factor, drawdown & R-metrics panel
✔ Alerts with Entry, SL, TP & risk-to-reward
✔ Continuous improvements & updates
Whether you're learning structure or refining your current system, this tool offers a clean and objective approach to trending markets: crypto, forex, metals and indices.
👤 About Humontre
I'm a trader and IT engineer who enjoys building tools that bring structure and clarity to the markets.
Humontre EMA Pro was designed to help traders visualize risk and understand trend dynamics with precision.
⚠️ Important
This is educational software. It does not guarantee profit.
Trading always carries risk.
Key Features
✔ Adapts to market volatility for precise SL/TP placement
✔ Trailing stop system
✔ Calculates Entry, Stop Loss, Take Profit and R-Multiples
✔ Filters duplicate entries and only signals the first valid setup per trend
✔ Visualizes active/past trades with P&L, R-values and exit reasons
✔ Detects high-quality trend breakouts using a dynamic EMA channel
Green to Red Money RailsWhat this indicator does
Green to Red Money Rails (G2R Rails) is a price-action tool that draws dynamic “rails” from recent swing lows and highs. It tracks how support and resistance are shifting so you can see where trend pressure is building or weakening.
Core logic (high level)
Detects pivot lows and stores the last three (L1, L2, L3).
Builds green support “fans”: inner dotted rails L1→L2 and L2→L3, plus a main solid base rail L1→L3.
Detects pivot highs and, when the last high is lower than the previous one, draws a red resistance rail from H2→H3.
Optional labels mark the most recent swing low (“L”) and swing high (“H”).
How to use it
Use the green rails as dynamic support zones for trend-following, pullback entries, or stop placement.
Use the red rail as a visual ceiling in downtrends: breaks above it can signal the end of a sell-off; rejections at it confirm sellers still in control.
Works best on liquid markets and swing-trading timeframes (for example, 1h–1D). Always combine with your own risk management and higher-timeframe context.
This script does not auto-generate signals or manage risk for you; it is a visual framework for reading structure and building your own trading plans.
AI Chakra for Global Markets by Pooja🌐 AI Chakra for Global Markets by Pooja
⚡ Advanced Multi-Signal Trading Framework for Forex & Crypto
AI Chakra is a complete institutional-grade market analysis system, combining
Trend + Structure + Momentum + Volatility + Breakouts + Multi-TF Context + Smart Levels
into a single clean and powerful charting tool.
Designed especially for Forex and Crypto, where speed, precision and clarity matter most.
✨ Key Features
1️⃣ 🎯 Smart Auto Buy/Sell Signal System
Signals appear only when multiple conditions align:
✔️ Buy Sell Signals include:
🟢 Supertrend in bullish zone
💪 RSI momentum in upper strength zone
🔄 CHoCH or BOS supporting upward shift
🚀 Breakout above key levels (Prev-Day High)
⚙️ Optional filters: ADX-Volatility + RSI-MA Protection
✔️ Sell Signals include:
🔴 Supertrend bearish
📉 RSI in weakness zone
🔄 CHoCH/BOS supporting downward structure
🕳️ Breakout below previous-day low
⚙️ Optional filters for momentum validation
📌 Signals are printed as clean labels — visually distinct and easy to interpret.
2️⃣ 🧠 Smart Money Concepts (SMC Suite)
Built-in structural analysis for professional traders:
🔶 CHoCH (Change of Character)
🔷 BOS (Break of Structure)
Every CHoCH/BOS is plotted with:
Horizontal structural level
Precision labels
ATR-adjusted spacing to avoid overlap
Perfect for identifying:
✔️ Trend reversals
✔️ Continuation breaks
✔️ Manipulation zones
✔️ Smart entry areas
3️⃣ 📊 Multi-Timeframe Trend Dashboard (Top-Down View)
A clean institutional-level dashboard across:
1m ▸ 5m ▸ 15m ▸ 30m ▸ 1H ▸ 4H ▸ 1D ▸ 1W ▸ 1M
Each timeframe evaluates:
EMA alignment
VWAP alignment
Supertrend direction
Shows 🔵 Bullish, 🔴 Bearish, ⚪ Neutral
in a visually intuitive format.
4️⃣ 📐 Auto Trendline System + Breakout Detection (Optional Module)
When enabled:
Detects swing highs/lows automatically
Draws dynamic support/resistance trendlines
Uses ATR / Stdev / Linear Regression slopes
Extends lines into future
Marks Breakout events with labels
Ideal for:
✔️ Crypto volatility
✔️ Forex swings
✔️ Breakout traders
✔️ Channel/wedge detection
5️⃣ 🏛️ Institutional Levels – Traditional Pivot Points
Includes complete dynamic Support/Resistance map:
Daily / Weekly / Monthly
Quarterly / Yearly
Multi-Year levels
Adjustable:
Line width
Line color
Price labels (Left/Right)
Works perfectly for:
XAUUSD
GBPJPY
EURUSD
BTCUSDT
NAS100
US30
📌 6. Volatility & Momentum Safety Filters (Optional)
ADX Filter
Allows signals only when volatility/trend strength is acceptable
Avoids signals in low-volatility sideways markets
RSI-MA Filter
Detects fake breakouts
Evaluates RSI displacement & momentum slope
Keeps only reliable directional conditions
These filters help refine signals for Forex (high-flow sessions) and Crypto (high-volatility assets).
📌 7. Previous-Day High/Low Break Detection
A pure price-action breakout feature tuned for global markets:
Detects clean breaks of yesterday’s high (bullish strength)
Detects breaks of yesterday’s low (bearish weakness)
Auto-avoids duplicate prints
Works extremely well in:
XAUUSD
GBPJPY
BTCUSDT
ETHUSDT
Indices like NAS100 or US30
6️⃣ 📡 JSON-Ready Alerts (Webhook Compatible)
Send signals directly to:
Telegram bots
Discord servers
Custom trading bots
Automation platforms
Every Buy/Sell alert includes JSON payload support.
🌍 Optimized for Global Markets
Forex
EURUSD • GBPJPY • XAUUSD • USDJPY • GBPUSD • AUDUSD
Majors, minors, exotics supported.
Crypto
BTC • ETH • SOL • BNB • XRP • Futures & Spot.
Timeframes Supported
Scalping: 1m–15m
Intraday: 30m–4H
Swing: 1D–1W–1M
⚠️ Policy-Safe Disclaimer
This script is a technical analysis tool, not financial advice.
It does not guarantee profits or automate trading decisions.
Always verify signals with your own strategy and risk management.
🌟 Final Summary
AI Chakra unifies:
📈 Trend
🧠 Structure
🎯 Signals
💹 Momentum
🔥 Breakouts
🏛️ Institutional Levels
🧩 Multi-TF Logic
🔐 ACCESS
This version is an Invite-Only Script.
Access is granted manually.
🛡 Support
This is an invite-only indicator.
Approved users may contact the author via the “Author’s Instructions” section on TradingView for help or usage guidance.
CDVI – First Crypto Dominance Volatility Index by Armi GoldmanThe Crypto Dominance Volatility Index (CDVI) is the first volatility-based indicator designed specifically to analyze the stability and instability of dominance flows in the crypto market.
Instead of measuring price volatility, CDVI focuses on the volatility of market dominance itself — a structural driver behind capital rotation cycles such as Bitcoin Season, Altseason, accumulation zones, and macro cycle transitions.
CDVI transforms dominance changes into a clear volatility index that highlights compression, expansion, and regime shifts.
How it works
CDVI calculates the absolute or percentage-based realized volatility of your chosen dominance benchmark (BTC.D, TOTAL.D, or any dominance index available on TradingView).
The indicator then:
1. Smooths the volatility curve using adjustable parameters
2. Builds a long-term mean to identify regime structure
3. Computes percentile zones over a rolling lookback window
4. Highlights high-risk and low-risk dominance conditions using color-coded backgrounds
This creates a clean, noise-reduced volatility representation of the dominance market.
Why it looks like this
The CDVI curve is intentionally smooth and cyclical because dominance volatility behaves differently from price volatility:
• Dominance tends to trend slowly, then spike violently during rotation phases
• Periods of prolonged compression often occur before large macro moves
• Volatility bursts cluster during transitions (e.g. BTC → Alts, cycle tops, market-wide repricing)
The percentile zones (90% / 10%) give structural thresholds for extreme conditions.
Background color reveals when dominance volatility enters these extremes, creating visually clear “regime blocks.”
How to interpret CDVI
High CDVI (above the 90th percentile):
• Dominance instability
• Capital rotation phases are active
• Market is repricing sector allocations
• Often appears near Altseason tops or bottoms
• Signals caution for trend traders and opportunity for rotation traders
Low CDVI (below the 10th percentile):
• Compression and calm dominance
• Accumulation and structural balance
• Often precedes major expansions in Bitcoin or Alt markets
• Useful for anticipating cycle transitions before they break out
Long-term mean:
• Helps identify when the market is in a high-vol or low-vol regime
• Crossings around the mean often coincide with early cycle shifts
How to use CDVI in practice
1. Cycle Timing
Use CDVI to detect when the market moves from calm → expansion or expansion → exhaustion.
Low CDVI usually precedes major moves. High CDVI often marks transition turbulence.
2. BTC vs Altcoins Rotation
Combine CDVI with BTC.D / TOTAL2 / TOTAL3 to detect rotation windows.
High CDVI = dominance is unstable → rotations happen.
Low CDVI = dominance is stable → trending environment.
3. Risk Management
High CDVI suggests elevated structural risk (dominance shifting).
Low CDVI supports directional conviction.
4. Confluence with Price
When both price volatility and dominance volatility expand together → macro transition.
When price is volatile but CDVI is flat → noise, not structural change.
Who this indicator is for
• Cycle analysts
• Macro crypto traders
• BTC vs Alts rotation traders
• Portfolio allocators
• Long-term investors looking at structural market phases
CDVI is designed as a clean, structural tool for understanding volatility not of price — but of market power distribution.
Dumb Money Flow - Retail Panic & FOMO# Dumb Money Flow (DMF) - Retail Panic & FOMO
## 🌊 Overview
**Dumb Money Flow (DMF)** is a powerful **contrarian indicator** designed to track the emotional state of the retail "herd." It identifies moments of extreme **Panic** (irrational selling) and **FOMO** (irrational buying) by analyzing on-chain data, volume anomalies, and price velocity.
In crypto markets, retail traders often buy the top (FOMO) and sell the bottom (Panic). This indicator helps you do the opposite: **Buy when the herd is fearful, and Sell when the herd is greedy.**
---
## 🧠 How It Works
The indicator combines multiple data points into a single **Sentiment Index** (0-100), normalized over a 90-day period to ensure it always uses the full range of the chart.
### 1. Panic Index (Bearish Sentiment)
Tracks signs of capitulation and fear. High values contribute to the **Panic Zone**.
* **Exchange Inflows:** Spikes in funds moving to exchanges (preparing to sell).
* **Volume Spikes:** High volume during price drops (panic selling).
* **Price Crash (ROC):** Rapid, emotional price drops over 3 days.
* **Volatility (ATR):** High market nervousness and instability.
### 2. FOMO Index (Bullish Sentiment)
Tracks signs of euphoria and greed. High values contribute to the **FOMO Zone**.
* **Exchange Outflows:** Funds moving to cold storage (HODLing/Greed).
* **Profitable Addresses:** When >90% of holders are in profit, tops often form.
* **Parabolic Rise:** Rapid, unsustainable price increases.
---
## 🎨 Visual Guide
The indicator uses a distinct color scheme to highlight extremes:
* **🟢 Dark Green Zone (> 80): Extreme FOMO**
* **Meaning:** The crowd is euphoric. Risk of a correction is high.
* **Action:** Consider taking profits or looking for short entries.
* **🔴 Dark Burgundy Zone (< 20): Extreme Panic**
* **Meaning:** The crowd is capitulating. Prices may be oversold.
* **Action:** Look for buying opportunities (catching the knife with confirmation).
* **🔵 Light Blue Line:**
* The smoothed moving average of the sentiment, helpful for seeing the trend direction.
---
## 🛠️ How to Use (Trading Strategies)
### 1. Contrarian Reversals (The Primary Strategy)
* **Buy Signal:** Wait for the line to drop deep into the **Burgundy Panic Zone (< 20)** and then start curling up. This indicates that the worst of the selling pressure is over.
* **Sell Signal:** Wait for the line to spike into the **Green FOMO Zone (> 80)** and then start curling down. This suggests buying exhaustion.
### 2. Divergences
* **Bullish Divergence:** Price makes a **Lower Low**, but the DMF Indicator makes a **Higher Low** (less panic on the second drop). This is a strong reversal signal.
* **Bearish Divergence:** Price makes a **Higher High**, but the DMF Indicator makes a **Lower High** (less FOMO/buying power on the second peak).
### 3. Trend Confirmation (Midline Cross)
* **Crossing 50 Up:** Sentiment is shifting from Fear to Greed (Bullish).
* **Crossing 50 Down:** Sentiment is shifting from Greed to Fear (Bearish).
---
## ⚙️ Settings
* **Data Source:** Defaults to `INTOTHEBLOCK` for on-chain data.
* **Crypto Asset:** Auto-detects BTC/ETH, but can be forced.
* **Normalization Period:** Default 90 days. Determines the "window" for defining what is considered "Extreme" relative to recent history.
* **Weights:** You can customize how much each factor (Volume, Inflows, Price) contributes to the index.
---
**Disclaimer:** This indicator is for educational purposes only. "Dumb Money" analysis is a probability tool, not a crystal ball. Always manage your risk.
**Indicator by:** @iCD_creator
**Version:** 1.0
**Pine Script™ Version:** 6
---
## Updates & Support
For questions, suggestions, or bug reports, please comment below or message the author.
**Like this indicator? Leave a 👍 and share your feedback!**
Alos Volume Profile Candles (SVP)ALOS Volume Profile Candles (SVP)
Summary
IMPORTANT: This indicator is designed to be used only with TradingView's 'Session Volume Profile' chart type. It will not work correctly with standard candle charts.
This indicator powerfully visualizes intra-session price action by dividing a single session profile into a specific number of equal-sized synthetic candles.
Instead of viewing a session as one single block, you can now break it down into parts (like quarters or thirds) to see how price behaved during each segment of the profile.
Key Features
Custom Session Slicing: Set "Candles per session" to 4 to see the session in quarters, 6 to see it in sixths, or any number you choose.
Full Session Control: Works perfectly with any custom session time, including complex overnight sessions (like '1800-1700' for CME crypto futures)
Accurate OHLC Calculation: Each synthetic candle correctly calculates and displays its own Open, High, Low, and Close for its specific time slice.
Clean Charting: Use the "Keep last sessions" input to control how many old sessions are drawn, preventing chart clutter and keeping your analysis focused on recent price action.
How to Use
On your TradingView chart, change the chart type to "Session Volume Profile".
Add the "ALOS Volume Profile Candles (SVP)" indicator to your chart.
Set your desired Session time in the indicator settings (or keep the default).
Choose the number of Candles per session you want to divide it into.
Adjust Keep last sessions to control how much history is displayed.
This tool is ideal for traders who want to analyze price behavior during the opening, middle, and closing parts of a session, or for breaking down long 24-hour crypto sessions into more manageable chunks.
Smart Money Flow - Exchange & TVL Composite# Smart Money Flow - Exchange & TVL Composite Indicator
## Overview
The **Smart Money Flow (SMF)** indicator combines two powerful on-chain metrics - **Exchange Flows** and **Total Value Locked (TVL)** - to create a composite index that tracks institutional and "smart money" movement in the cryptocurrency market. This indicator helps traders identify accumulation and distribution phases by analyzing where capital is flowing.
## What It Does
This indicator normalizes and combines:
- **Exchange Net Flow** (from IntoTheBlock): Tracks Bitcoin/Ethereum movement to and from exchanges
- **Total Value Locked** (from DefiLlama): Measures capital locked in DeFi protocols
The composite index is displayed on a 0-100 scale with clear zones for overbought/oversold conditions.
## Core Concept
### Exchange Flows
- **Negative Flow (Outflows)** = Bullish Signal
- Coins moving OFF exchanges → Long-term holding/accumulation
- Indicates reduced selling pressure
- **Positive Flow (Inflows)** = Bearish Signal
- Coins moving TO exchanges → Preparation for selling
- Indicates potential distribution phase
### Total Value Locked (TVL)
- **Rising TVL** = Bullish Signal
- Capital flowing into DeFi protocols
- Increased ecosystem confidence
- **Falling TVL** = Bearish Signal
- Capital exiting DeFi protocols
- Decreased ecosystem confidence
### Combined Signals
**🟢 Strong Bullish (70-100):**
- Exchange outflows + Rising TVL
- Smart money accumulating and deploying capital
**🔴 Strong Bearish (0-30):**
- Exchange inflows + Falling TVL
- Smart money preparing to sell and exiting positions
**⚪ Neutral (40-60):**
- Mixed or balanced flows
## Key Features
### ✅ Auto-Detection
- Automatically detects chart symbol (BTC/ETH)
- Uses appropriate exchange flow data for each asset
### ✅ Weighted Composite
- Customizable weights for Exchange Flow and TVL components
- Default: 50/50 balance
### ✅ Normalized Scale
- 0-100 index scale
- Configurable lookback period for normalization (default: 90 days)
### ✅ Signal Zones
- **Overbought**: 70+ (Strong bullish pressure)
- **Oversold**: 30- (Strong bearish pressure)
- **Extreme**: 85+ / 15- (Very strong signals)
### ✅ Clean Interface
- Minimal visual clutter by default
- Only main index line and MA visible
- Optional elements can be enabled:
- Background color zones
- Divergence signals
- Trend change markers
- Info table with detailed metrics
### ✅ Divergence Detection
- Identifies when price diverges from smart money flows
- Potential reversal warning signals
### ✅ Alerts
- Extreme overbought/oversold conditions
- Trend changes (crossing 50 line)
- Bullish/bearish divergences
## How to Use
### 1. Trend Confirmation
- Index above 50 = Bullish trend
- Index below 50 = Bearish trend
- Use with price action for confirmation
### 2. Reversal Signals
- **Extreme readings** (>85 or <15) suggest potential reversal
- Look for divergences between price and indicator
### 3. Accumulation/Distribution
- **70+**: Accumulation phase - smart money buying/holding
- **30-**: Distribution phase - smart money selling
### 4. DeFi Health
- Monitor TVL component for DeFi ecosystem strength
- Combine with exchange flows for complete picture
## Settings
### Data Sources
- **Exchange Flow**: IntoTheBlock real-time data
- **TVL**: DefiLlama aggregated DeFi TVL
- **Manual Mode**: For testing or custom data
### Indicator Settings
- **Smoothing Period (MA)**: Default 14 periods
- **Normalization Lookback**: Default 90 days
- **Exchange Flow Weight**: Adjustable 0-100%
- **Overbought/Oversold Levels**: Customizable thresholds
### Visual Options
- Show/Hide Moving Average
- Show/Hide Zone Lines
- Show/Hide Background Colors
- Show/Hide Divergence Signals
- Show/Hide Trend Markers
- Show/Hide Info Table
## Data Requirements
⚠️ **Important Notes:**
- Uses **daily data** from IntoTheBlock and DefiLlama
- Works on any chart timeframe (data updates daily)
- Auto-switches between BTC and ETH based on chart
- All other crypto charts default to BTC exchange flow data
## Best Practices
1. **Use on Daily+ Timeframes**
- On-chain data is daily, most effective on D/W/M charts
2. **Combine with Price Action**
- Use as confirmation, not standalone signals
3. **Watch for Divergences**
- Price making new highs while indicator falling = warning
4. **Monitor Extreme Zones**
- Sustained readings >85 or <15 indicate strong conviction
5. **Context Matters**
- Consider broader market conditions and fundamentals
## Calculation
1. **Exchange Net Flow** = Inflows - Outflows (inverted for index)
2. **TVL Rate of Change** = % change over smoothing period
3. **Normalize** both metrics to 0-100 scale
4. **Composite Index** = (ExchangeFlow × Weight) + (TVL × Weight)
5. **Smooth** with moving average
## Disclaimer
This indicator uses on-chain data for analysis. While valuable, it should not be used as the sole basis for trading decisions. Always combine with other technical analysis tools, fundamental analysis, and proper risk management.
On-chain data reflects blockchain activity but may lag price action. Use this indicator as part of a comprehensive trading strategy.
---
## Credits
**Data Sources:**
- IntoTheBlock: Exchange flow metrics
- DefiLlama: Total Value Locked data
**Indicator by:** @iCD_creator
**Version:** 1.0
**Pine Script™ Version:** 6
---
## Updates & Support
For questions, suggestions, or bug reports, please comment below or message the author.
**Like this indicator? Leave a 👍 and share your feedback!**
OTT Volatility [RunRox]📊 OTT Volatility is an indicator developed by the RunRox team to pinpoint the most optimal time to trade across different markets.
OTT stands for Optimal Trade Time Volatility and is designed primarily for markets without a fixed trading session, such as cryptocurrencies that trade 24/7. At the same time, it works equally well on any other market.
🔶 The concept is straightforward. The indicator takes a specified number of historical periods (Samples) and statistically evaluates which hours of the day or which days show the highest volatility for the selected asset.
As a result, it highlights time windows with elevated volatility where traders can focus on searching for trade setups and building positions.
🔶 As the core volatility metric, the indicator uses ATR (Average True Range) to measure intraday volatility. Then it calculates the average ATR value over the last N Samples, creating a statistically stable estimate of typical volatility for the selected asset.
🔶 Statistically, during these highlighted periods the market shows higher-than-average volatility.
This means that in these time windows price is more likely to be subject to stronger moves and potential manipulation, making them attractive for active trade execution and position management.
⚠️ However, historical behavior does not guarantee future results.
These periods should be treated only as zones where volatility has a higher probability of being above normal, not as a promise of movement.
As shown in the screenshot above, the indicator also projects potential future volatility based on historical data. This helps you better plan your trading hours and align your activity with periods where volatility is statistically expected to be higher or lower.
🔶 Current Volatility – as shown in the screenshot above, you can also monitor the real-time volatility of the market without any statistical averaging.
On top of that, you can overlay the current volatility on top of the statistical volatility levels, which makes it easy to see whether the market is now trading in a high- or low-volatility regime relative to its usual behavior.
4 display modes – you can choose any visualization style that fits your trading workflow:
Absolute – displays the raw volatility values.
Relative – shows volatility relative to its typical levels.
Average Centered – centers volatility around its average value.
Trim Low Value – filters out low-volatility noise and highlights only more significant moves.
This indicator helps you define the most effective trading hours on any market by relying on historical volatility statistics.
Use it to quickly see when your market tends to be more active and to structure your trading sessions around those periods.
✅ We hope this tool becomes a useful part of your trading toolkit and helps you improve the quality of your decisions and timing.
BTC Future CME Cross-Market DetectorProject Spec: BTC CME Cross-Market Detector
1. Project Overview
Indicator Name
CME Cross-Market Detector
Objective
To identify high-probability trade setups by detecting and confirming "smart money" activity across two distinct market venues simultaneously: a primary crypto exchange (e.g., Bybit, Binance) and the institutional CME futures market.
Core Philosophy
Price movements are often preceded by the positioning of large, institutional players ("smart money"). While their activity can be seen on any single exchange, the signal becomes exceptionally reliable when the same footprint appears at the same time in both the broader crypto derivatives market and the highly regulated institutional futures market. This dual-market confirmation acts as a powerful noise filter, isolating signals that have a higher probability of follow-through.
2. Key Concepts & Signal Logic
The indicator's entire foundation rests on confirming that specific conditions are met on two datasets at the same time: (1) The user's current chart (e.g., BYBIT:BTCUSDT) and (2) The CME Bitcoin Futures chart (CME:BTC1!).
Smart Volume Analysis
To gauge buying vs. selling pressure, the total volume of a single candle is algorithmically split. This is not a perfect science but an effective estimation based on the candle's structure.
Buying Pressure is considered proportional to the distance the price closed from the low. Buying Pressure ≈ Total Volume × ((Close - Low) / (High - Low))
Selling Pressure is considered proportional to the distance the price closed from the high. Selling Pressure ≈ Total Volume × ((High - Close) / (High - Low))
Signal Trigger Conditions
For a potential signal to be identified on each market independently, two conditions must be met:
Volume Spike: The volume of the current candle must be significantly higher than the recent average volume (e.g., >150% of the 20-period moving average). This shows a sudden, high level of interest.
Pressure Imbalance: The estimated buying pressure must overwhelm the selling pressure by a certain factor (e.g., 3x), or vice versa for a sell signal. This indicates a clear directional intent.
The Final Confirmed Signal
A signal is only considered valid and plotted on the chart when the Signal Trigger Conditions (both Volume Spike and Pressure Imbalance) are met on both the primary chart and the CME chart on the very same candle.
3. Signal Strength Calculation
The percentage shown on the chart is a Signal Strength Score (0-100%), which rates the quality and conviction of the confirmed signal.
The score is calculated as follows:
Base Score Calculation (0-100 points): A base score is calculated for each market (primary and CME) by combining two factors:
Volume Component (0-50 pts): Measures the intensity of the volume spike. A 300% volume spike will score higher than a 150% spike.
Imbalance Component (0-50 pts): Measures the intensity of the buy/sell pressure ratio. A 5x imbalance will score higher than a 3x imbalance.
Advanced Modifiers (Bonus Points): The base score is then enhanced with bonus points for favorable conditions:
Trend Alignment (+10 pts): A buy signal that occurs during a clear uptrend receives extra points.
Candle Structure (+10 pts): A buy signal on a candle with a long lower wick (indicating rejection of lower prices) receives extra points.
Final Averaged Score: The final percentage you see is the average of the two individual strength scores calculated for the primary exchange and the CME market.
4. Visualization
Energy Waves: Signals are displayed as circles. Green for Buy Signals (below the candle) and Red for Sell Signals (above the candle).
Dynamic Sizing: The size of the circle directly reflects the Signal Strength Score, categorized into four distinct levels (e.g., 10%+, 40%+, 60%+, and 80%+) for at-a-glance interpretation.
Percentage Labels: Each signal is plotted with its precise, final strength score for clear analysis.
5. Summary: Steps to Replicate the Logic
To recreate this indicator, follow these high-level steps for each candle on the chart:
Gather Data: Fetch the Open, High, Low, Close, and Volume data for the primary chart asset AND for the corresponding CME Bitcoin Futures symbol (CME:BTC1!).
Calculate Buy/Sell Pressure: For both datasets, use the "Smart Volume Analysis" formula to estimate the buying and selling pressure for the current candle.
Check for Volume Spikes: For both datasets, calculate a simple moving average of the volume. Check if the current candle's volume exceeds this average by a set threshold (e.g., 150%).
Check for Pressure Imbalance: For both datasets, check if the buying pressure is greater than the selling pressure by a set multiplier (e.g., 3.0), or vice versa.
Confirm the Signal: A final signal is only valid if the conditions from both Step 3 and Step 4 are true for both datasets on the same candle.
Calculate Strength: If a signal is confirmed, compute a strength score (0-100) for each dataset based on the intensity of the volume spike and pressure imbalance. Add bonus points for confluence factors like trend alignment.
Finalize and Plot: Average the two strength scores from each market. Plot a colored, sized circle on the chart that visually represents this final averaged score, and display the score as a text label.
Last but not least, the idea of the indicator is inspired by 52SIGNAL
Scaling_mastery:Free TrendlinesScaling_mastery Trendlines is a clean, trading-ready smart trendline tool built for the Scaling_mastery community.
It automatically finds swing highs/lows and draws dynamic trendlines or channels that stay locked to price, on any symbol and any timeframe.
🔧 Modes
Trendline type
Wicks – classic trendlines anchored on candle wicks (high/low).
Bodies – trendlines anchored on candle bodies (open/close), great for closing structure.
Channel – 3-line channel:
outer lines form a band around price
middle line runs through the centre of the channel
thickness is adjustable (Small / Medium / Large).
Trend strength
Controls how strong the pivots must be to form a line.
Weak → more lines, reacts faster.
Medium → balanced, good for most pairs.
Strong → only the cleanest swings, higher-probability trendlines.
🎨 Visual controls
Max support / resistance lines – cap how many lines are kept on chart.
Show broken lines – hide broken trendlines or keep them for structure history.
Extend lines – None / Right / Both.
Support / Resistance colors – separate colors for active vs broken.
Channel thickness – Small / Medium / Large (0.5% / 1% / 2% of price).
Channel outer lines – color for channel edges.
Channel middle line – color + style (dotted / dashed / solid).
Broken lines are automatically faded + dotted, so you can instantly see what’s still respected and what’s already been taken out.
🧠 How to use
Add the indicator to any chart.
Start with:
Trendline type: Wicks
Trend strength: Strong
Max lines: 1–2 for both support & resistance
Once you like the behavior, experiment with:
Switching between Wicks / Bodies / Channel
Adjusting Channel thickness and Trend strength
Use the lines as a visual confluence tool with your own strategy:
HTF trend direction
LTF entries / retests
Liquidity grabs around broken lines
This script doesn’t generate entries or risk management – it’s designed to give you clean, reliable structure so you can execute your own edge.
⚠️ Disclaimer
This tool is for educational and visual purposes only and is not financial advice.
Always do your own research and manage risk.
[CASH] Crypto And Stocks Helper (MultiPack w. Alerts)ATTENTION! I'm not a good scripter. I have just learned a little basics for this project, stolen code from other public scripts and modified it, and gotten help from AI LLM's.
If you want recognition from stolen code please tell me to give you the credit you deserve.
The script is not completely finished yet and contains alot of errors but my friends and family wants access so I made it public.
_________________________________________________________________________________
CASH has multiple indicators (a true all-in-one multipack), guides and alerts to help you make better trades/investments. It has:
- Bitcoin Bull Market Support Band
- Dollar Volume
- 5 SMA and 5 EMA
- HODL Trend (a.k.a SuperTrend) indicator
- RSI, Volume and Divergence indicators w. alerts
More to come as well, like Backburner and a POC line from Volume Profile.
Everything is fully customizable, appearance and off/on etc.
More information and explainations along with my guides you can find in settings under "Input" and "Style".
TernTable: Crypto SectorsTernTables:CryptoSecs
This was hung on my Sector ETFs script to see if I could filter some noise from crypto by applying a GICS (Global Industry Classification Standard) style sector model to the crypto markets.
Crypto classification is certainly a little more nuanced so not completely straightforward.
It was designed to filter a researched and organised view of generally recognised cryptocurrency sectors and their confirmed constituent components.
The main purpose was a shot at displaying live crypto market data on my chart with instantaneous visual analysis, using leader laggard colour logic for performance indication, plus bullish bearish colour logic using the header for instant visual sector strength analysis.
This was never going to be an exhaustive tool of course and amazingly only or two of the sector lists wont fit on your laptop screen without zooming but it’s UI versatility both in custom display and custom threshold functionality is very effective. Viewing a coin on your watchlist with its sector overlayed in the chart brings the optional visual alert function into consideration. All basic but all effective and all customisable
Can't ignore the educational value either it’s teaching by osmosis what the sectors do and which coins go where clues to why.
As an after thought - I added a live stock market filter for 20 sector-specific ETFs like SPY, QQQ, XLV, XLF, allowing the comparison of the live performance of traditional financial sectors to live crypto sector data without leaving your chart.
Not certain how often it will need to be updated and any feedback re the legitimacy and accuracy of its components is kindly welcomed it is up to date at date of publishing.
It’s pretty easy to use, here is a list what you're getting with sector classifications with brief descriptions
CMC 20
CoinMarketCap Top 20: the largest cryptos by market cap. Great starting point to see what the overall market is doing
ETFs
All major U.S.-listed Bitcoin & Ethereum ETFs. Lets you compare crypto performance directly with traditional finance
Layer 0
Foundational interoperability protocols (Polkadot, Cosmos, ICP, etc.). These are the “bridges” that allow different blockchains to communicate
Layer 1
Independent base-layer blockchains that run their own consensus and security (Bitcoin, Ethereum, Solana, Cardano, TON, etc.).
Layer 2
Scaling networks built on top of Layer 1s to increase speed and lower fees (Arbitrum, Optimism, Base, Polygon, zk-rollups, etc.)
Layer 3
Application-specific chains or rollups designed for one purpose (gaming chains, DeFi-specific, social, etc.)
Web3
The “ownership internet”: gaming tokens, NFTs, metaverse land, music/streaming platforms, social tokens, and creator-economy projects
DeFi
Decentralised Finance: lending platforms, decentralized exchanges, derivatives, yield aggregators, and insurance protocols
Decentralised Storage
Blockchain-based alternatives to AWS/Google Cloud (Filecoin, Arweave, Storj, etc.)
Oracles
Data providers that feed off-chain information (prices, weather, sports results) into smart contracts
Privacy
Privacy coins and protocols that obfuscate transaction details (Monero, Zcash, Beam, etc.)
Yield & Lending
Protocols focused purely on lending, borrowing, and yield generation
DEX
Pure decentralized exchanges (Uniswap, SushiSwap, Jupiter, GMX, etc.)
DAO
Governance tokens of major decentralized autonomous organizations (Maker, Lido, Aave, ENS, etc.)
Infrastructure / Middleware
The picks-and-shovels layer: node services, RPC providers, indexing, cross-chain bridges, etc
Real World Assets (RWA)
Tokenised traditional assets: treasuries, real estate, private credit, stablecoins backed by real-world collateral
Restaking & Liquid Restaking
EigenLayer ecosystem and liquid-restaking tokens (eigen, ether.fi, Pendle, etc.). Currently the fastest-growing narrative
Traditional Sector ETFs
Classic U.S. sector ETFs (SPY, QQQ, XLF, XLE, XLV, XLY, etc.). Extra layer of analysis by comparing live stock market conditions with livecrypto market conditions
A list of the UI Toggles
* Sector Dropdown
• Select Sector: Choose the sector to display (e.g., CMC 20, Layer 1, DeFi, etc.)
* Custom Tickers
• Enter Tickers: Input custom coin tickers (e.g., BTCUSD, ETHUSD) to track specific assets
* Show % Change Row
• Toggle On/Off: Display the % change row for each sector/coin
* Show Current Price Row
• Toggle On/Off: Display the current price for each sector/coin
* Show Price-Diff Row
• Toggle On/Off: Display the price difference (current price - previous day's price)
* Show Spacer Row
• Toggle On/Off: Add a spacer row between data rows for clarity
* Table Position
• Select Position: Choose the position of the data table on your chart (Top Left, Top Right, etc.)
Visual Options:
* Show Sector Name
• Toggle On/Off: Display the sector name pane label on chart
* Custom Bull/Bear Threshold
• Toggle On/Off: Set a custom threshold for bullish/bearish sector performance
• Threshold (%): Set the percentage threshold (e.g., 50%) for bullish/bearish classification
* Show Live % in Header
• Toggle On/Off: Display the live percentage change in the table header
* Dynamic Decimal Formatting
• Toggle On/Off: Enable dynamic formatting for numbers display.
* Sort by % Change
• Toggle On/Off: Sort sectors by % change in performance
* Enable Alerts
• Toggle On/Off: Enable alerts based on performance thresholds
* Alert Threshold (%)
• Set Threshold: Define the percentage threshold (e.g.,70%) for triggering alerts
* Cooldown (bars)
• Toggle On/Off: Enable cooldown to prevent alerts from triggering too quickly
• Cooldown Duration: Set the cooldown period in bars (e.g., 10 bars)
* % Threshold Mode
• Toggle On/Off: Enable % Threshold Mode to filter sectors based on a percentage change threshold
• Threshold %: Set the percentage for filtering sectors (e.g., only show sectors with > 5% change)
A lot of toggles probably left once favourites are set but this UI interface does allow experimentation with the utility of channelling raw live data through custom designed filters. Just saying !
I need to include this of course
This indicator provides sector-based organisation and real-time performance visualisation for cryptocurrencies. It is not intended to predict price movements or guarantee outcomes. Crypto assets carry significant risk, including loss of capital. Past performance does not guarantee future results. All data and sector classifications are best-effort and may be incomplete, inaccurate, or outdated. Nothing in this script should be interpreted as financial advice. You are solely responsible for your own trading decisions.
That’s it really, I am currently pleased with how this indicator turned out, if you have a crypto trading toolkit put this in it.
Liquidity Hunt Detector PDH/PDL [SmartFoxy]Liquidity Hunt Detector PDH/PDL
The Liquidity Hunt Detector (LHD) is designed to identify and anticipate liquidity grabs around the:
• Previous Day High (PDH);
• Previous Day Low (PDL).
It builds dynamic trigger levels that highlight where price may deliver its first impulse before reaching PDH/PDL.
The Liquidity Hunt Detector (LHD) identifies high-probability reversals and continuations around the Previous Day High (PDH) and Previous Day Low (PDL).
It dynamically tracks the market’s move from the session open, builds trigger levels toward PDH/PDL, and highlights where liquidity is most likely to be taken.
When price taps a Trigger Up/Down level, the indicator generates Long/Short signals with optional confirmation from the integrated MA Ribbon , ensuring only high-quality, trend-aligned setups are shown.
When price interacts with these trigger levels, the indicator generates signals that help traders evaluate the market structure and prepare for potential entries.
Designed for Forex, Crypto, Indices, Stocks , the LHD provides a clean and intuitive structure for navigating intraday liquidity grabs, session impulses, and directional bias shifts.
The indicator is built from three fully independent modules, each of which can be used separately:
Liquidity Hunt Detector (LHD)
Moving Average Ribbon (MA Ribbon)
Previous Day High/Low (PDH/PDL) levels
Liquidity Hunt Detector (LHD) Logic
1.1 Display LHD – Enables or disables the entire Liquidity Hunt Detector module.
1.2 Max Days – Number of previous days used to generate PDH/PDL levels.
1.3 GMT – Corrects all time-based calculations based on your broker/session timezone.
1.4 Calculation Method (Point A Logic)
1) Static Method
Point A = the session’s opening price.
Trigger lines are calculated strictly as a percentage of the move A → PDH or A → PDL.
Intraday fluctuations do not affect the calculation.
2) Dynamic Method
Point A updates using the current intraday high/low:
• If price forms a new low, Point A updates for the PDH-side calculations;
• If price forms a new high, Point A updates for the PDL-side calculations.
This produces trigger lines that reflect the true live market structure rather than a fixed opening reference.
1.5 Main OTT Time (Operational Trading Time)
This is the core time window during which the indicator:
• updates Point A;
• calculates trigger levels;
• validates PDH/PDL;
• draws AB / AC movement structure;
• generates entry signals.
Outside this window, no new signals or recalculations occur.
⚠ If your broker’s first candle opens at a non-standard time (e.g., 00:08), adjust the OTT start time to avoid visual artifacts.
1.6 Show Line A – Displays the opening price level (Point A) until the end of the OTT window.
Style, width, and color are customizable.
1.7 Show Line AB — Price Movement Toward PDH.
Static Method – Single line: A → PDH
Dynamic Method – Two segments:
• A → Daily Low;
• Daily Low → PDH.
If PDH is swept, the “B” label switches to Sweep PDH.
1.8 Show Line AC – Price Movement Toward PDL.
Static Method – Single line: A → PDL
Dynamic Method – Two segments:
• A → Daily High;
• Daily High → PDL.
If PDL is swept, the “C” label switches to Sweep PDL.
1.9 Show Trigger Up Line (LONG Trigger) – Defines the level where the Long signal can activate.
By default, at 50% of the A → PDH movement.
When price touches this line, the script may:
• show a LONG label;
• trigger an alert.
All visual parameters are customizable.
1.10 Show Trigger Up Line (LONG Trigger)
Same logic as Trigger Up, but based on A → PDL.
1.11 Show Main Zone (OTT Zone) – Visual background highlighting of the active OTT window.
Helps instantly see:
• whether signals are allowed;
• how much time remains in the trading window?
Color and opacity are adjustable.
1.12 Upper Zone (toward PDH) – Tracks the protected area towards PDH.
Updates dynamically with new highs.
1.13 Lower Zone (toward PDL) – Tracks the zone toward PDL.
Updates dynamically with new lows.
1.14 Show Labels – Displays reference labels (A, B, C, Trigger Up, Trigger Down).
Label size is customizable.
1.15 Add Price – Adds the exact price value to each label.
1.16 Change Color after Sweep PDH or PDL – After PDH or PDL is broken, the indicator automatically recolors lines and labels to visually confirm the sweep.
1.17 Show SHORT Label – Displays the SHORT entry label when all conditions for a bearish signal are met.
Style parameters are set in the previous blocks.
1.18 Alert on Bearish Trigger Down – Triggers an alert when the price activates the bearish trigger.
1.19 Show LONG Label – Displays the LONG entry label when bullish conditions are met.
Style parameters are set in the previous blocks.
1.20 Alert on Bullish Trigger Up – Triggers an alert when the price activates the bullish trigger.
1.21 Alerts Active Time – Defines a custom time interval during which trigger signals are allowed.
Even if price touches a trigger level,
❗ signals will NOT be generated outside this allowed time.
Useful for:
• avoiding Asian session signals;
• reducing noise in low-liquidity periods.
1.22 Labels and Alerts Display Mode
Two settings modes:
• On Trigger (Instant Mode) – Signals appear immediately when price touches the trigger.
• On Candle Close (Conservative Mode) – Signals form only after the candle closes beyond the trigger level.
A more conservative option.
1.23 Delay LHD Signal Until MA Ribbon Confirms Direction – If enabled, LHD signals will NOT fire until the MA Ribbon produces a matching directional signal.
Logic:
• Price hits the trigger → LHD conditions become “armed”;
• The indicator waits;
• When MA Ribbon confirms trend direction (Long/Short);
• The final LHD label + alert is generated.
This ensures LHD trades are filtered and aligned with MA-based trend confirmation.
⚠ Works only when the MA Ribbon module is active.
@MO_XBT - EMA/MA ToolkitClean set of EMAs & MAs I use for trend tracking, momentum shifts, and cross signals
If you found this useful, follow me on X: @mo_xbt
