Volatility Targeting: Single Asset [BackQuant]Volatility Targeting: Single Asset
An educational example that demonstrates how volatility targeting can scale exposure up or down on one symbol, then applies a simple EMA cross for long or short direction and a higher timeframe style regime filter to gate risk. It builds a synthetic equity curve and compares it to buy and hold and a benchmark.
Important disclaimer
This script is a concept and education example only . It is not a complete trading system and it is not meant for live execution. It does not model many real world constraints, and its equity curve is only a simplified simulation. If you want to trade any idea like this, you need a proper strategy() implementation, realistic execution assumptions, and robust backtesting with out of sample validation.
Single asset vs the full portfolio concept
This indicator is the single asset, long short version of the broader volatility targeted momentum portfolio concept. The original multi asset concept and full portfolio implementation is here:
That portfolio script is about allocating across multiple assets with a portfolio view. This script is intentionally simpler and focuses on one symbol so you can clearly see how volatility targeting behaves, how the scaling interacts with trend direction, and what an equity curve comparison looks like.
What this indicator is trying to demonstrate
Volatility targeting is a risk scaling framework. The core idea is simple:
If realized volatility is low relative to a target, you can scale position size up so the strategy behaves like it has a stable risk budget.
If realized volatility is high relative to a target, you scale down to avoid getting blown around by the market.
Instead of always being 1x long or 1x short, exposure becomes dynamic. This is often used in risk parity style systems, trend following overlays, and volatility controlled products.
This script combines that risk scaling with a simple trend direction model:
Fast and slow EMA cross determines whether the strategy is long or short.
A second, longer EMA cross acts as a regime filter that decides whether the system is ACTIVE or effectively in CASH.
An equity curve is built from the scaled returns so you can visualize how the framework behaves across regimes.
How the logic works step by step
1) Returns and simple momentum
The script uses log returns for the base return stream:
ret = log(price / price )
It also computes a simple momentum value:
mom = price / price - 1
In this version, momentum is mainly informational since the directional signal is the EMA cross. The lookback input is shared with volatility estimation to keep the concept compact.
2) Realized volatility estimation
Realized volatility is estimated as the standard deviation of returns over the lookback window, then annualized:
vol = stdev(ret, lookback) * sqrt(tradingdays)
The Trading Days/Year input controls annualization:
252 is typical for traditional markets.
365 is typical for crypto since it trades daily.
3) Volatility targeting multiplier
Once realized vol is estimated, the script computes a scaling factor that tries to push realized volatility toward the target:
volMult = targetVol / vol
This is then clamped into a reasonable range:
Minimum 0.1 so exposure never goes to zero just because vol spikes.
Maximum 5.0 so exposure is not allowed to lever infinitely during ultra low volatility periods.
This clamp is one of the most important “sanity rails” in any volatility targeted system. Without it, very low volatility regimes can create unrealistic leverage.
4) Scaled return stream
The per bar return used for the equity curve is the raw return multiplied by the volatility multiplier:
sr = ret * volMult
Think of this as the return you would have earned if you scaled exposure to match the volatility budget.
5) Long short direction via EMA cross
Direction is determined by a fast and slow EMA cross on price:
If fast EMA is above slow EMA, direction is long.
If fast EMA is below slow EMA, direction is short.
This produces dir as either +1 or -1. The scaled return stream is then signed by direction:
avgRet = dir * sr
So the strategy return is volatility targeted and directionally flipped depending on trend.
6) Regime filter: ACTIVE vs CASH
A second EMA pair acts as a top level regime filter:
If fast regime EMA is above slow regime EMA, the system is ACTIVE.
If fast regime EMA is below slow regime EMA, the system is considered CASH, meaning it does not compound equity.
This is designed to reduce participation in long bear phases or low quality environments, depending on how you set the regime lengths. By default it is a classic 50 and 200 EMA cross structure.
Important detail, the script applies regime_filter when compounding equity, meaning it uses the prior bar regime state to avoid ambiguous same bar updates.
7) Equity curve construction
The script builds a synthetic equity curve starting from Initial Capital after Start Date . Each bar:
If regime was ACTIVE on the previous bar, equity compounds by (1 + netRet).
If regime was CASH, equity stays flat.
Fees are modeled very simply as a per bar penalty on returns:
netRet = avgRet - (fee_rate * avgRet)
This is not realistic execution modeling, it is just a simple turnover penalty knob to show how friction can reduce compounded performance. Real backtesting should model trade based costs, spreads, funding, and slippage.
Benchmark and buy and hold comparison
The script pulls a benchmark symbol via request.security and builds a buy and hold equity curve starting from the same date and initial capital. The buy and hold curve is based on benchmark price appreciation, not the strategy’s asset price, so you can compare:
Strategy equity on the chart symbol.
Buy and hold equity for the selected benchmark instrument.
By default the benchmark is TVC:SPX, but you can set it to anything, for crypto you might set it to BTC, or a sector index, or a dominance proxy depending on your study.
What it plots
If enabled, the indicator plots:
Strategy Equity as a line, colored by recent direction of equity change, using Positive Equity Color and Negative Equity Color .
Buy and Hold Equity for the chosen benchmark as a line.
Optional labels that tag each curve on the right side of the chart.
This makes it easy to visually see when volatility targeting and regime gating change the shape of the equity curve relative to a simple passive hold.
Metrics table explained
If Show Metrics Table is enabled, a table is built and populated with common performance statistics based on the simulated daily returns of the strategy equity curve after the start date. These include:
Net Profit (%) total return relative to initial capital.
Max DD (%) maximum drawdown computed from equity peaks, stored over time.
Win Rate percent of positive return bars.
Annual Mean Returns (% p/y) mean daily return annualized.
Annual Stdev Returns (% p/y) volatility of daily returns annualized.
Variance of annualized returns.
Sortino Ratio annualized return divided by downside deviation, using negative return stdev.
Sharpe Ratio risk adjusted return using the risk free rate input.
Omega Ratio positive return sum divided by negative return sum.
Gain to Pain total return sum divided by absolute loss sum.
CAGR (% p/y) compounded annual growth rate based on time since start date.
Portfolio Alpha (% p/y) alpha versus benchmark using beta and the benchmark mean.
Portfolio Beta covariance of strategy returns with benchmark returns divided by benchmark variance.
Skewness of Returns actually the script computes a conditional value based on the lower 5 percent tail of returns, so it behaves more like a simple CVaR style tail loss estimate than classic skewness.
Important note, these are calculated from the synthetic equity stream in an indicator context. They are useful for concept exploration, but they are not a substitute for professional backtesting where trade timing, fills, funding, and leverage constraints are accurately represented.
How to interpret the system conceptually
Vol targeting effect
When volatility rises, volMult falls, so the strategy de risks and the equity curve typically becomes smoother. When volatility compresses, volMult rises, so the system takes more exposure and tries to maintain a stable risk budget.
This is why volatility targeting is often used as a “risk equalizer”, it can reduce the “biggest drawdowns happen only because vol expanded” problem, at the cost of potentially under participating in explosive upside if volatility rises during a trend.
Long short directional effect
Because direction is an EMA cross:
In strong trends, the direction stays stable and the scaled return stream compounds in that trend direction.
In choppy ranges, the EMA cross can flip and create whipsaws, which is where fees and regime filtering matter most.
Regime filter effect
The 50 and 200 style filter tries to:
Keep the system active in sustained up regimes.
Reduce exposure during long down regimes or extended weakness.
It will always be late at turning points, by design. It is a slow filter meant to reduce deep participation, not to catch bottoms.
Common applications
This script is mainly for understanding and research, but conceptually, volatility targeting overlays are used for:
Risk budgeting normalize risk so your exposure is not accidentally huge in high vol regimes.
System comparison see how a simple trend model behaves with and without vol scaling.
Parameter exploration test how target volatility, lookback length, and regime lengths change the shape of equity and drawdowns.
Framework building as a reference blueprint before implementing a proper strategy() version with trade based execution logic.
Tuning guidance
Lookback lower values react faster to vol shifts but can create unstable scaling, higher values smooth scaling but react slower to regime changes.
Target volatility higher targets increase exposure and drawdown potential, lower targets reduce exposure and usually lower drawdowns, but can under perform in strong trends.
Signal EMAs tighter EMAs increase trade frequency, wider EMAs reduce churn but react slower.
Regime EMAs slower regime filters reduce false toggles but will miss early trend transitions.
Fees if you crank this up you will see how sensitive higher turnover parameter sets are to friction.
Final note
This is a compact educational demonstration of a volatility targeted, long short single asset framework with a regime gate and a synthetic equity curve. If you want a production ready implementation, the correct next step is to convert this concept into a strategy() script, add realistic execution and cost modeling, test across multiple timeframes and market regimes, and validate out of sample before making any decision based on the results.
Gestão de carteira
Pair Creation🙏🏻 The one and only pair construction tech you need, unlike others:
Applies one consistent operation to all the data features (not only prices). Then, the script outputs these, so you can apply other calculations on these outputs.
calculates a very fast and native volatility based hedge ratio, that also takes into account point value (think SPY vs ES) so you can easily use it in position sizing
Has built-in forward pricing aka cost of carry model , so you can de-drift pairs from cost of carry, discover spot price of oil based on futures, and ofc find arbitrage opportunities
Also allows to make a pair as a product of 2 series, useful for triangular arbitrage
This script can make a pair in 2 ways:
Ratio, by dividing leg 1 by leg 2
Product, by multiplying leg 1 by leg 2
The real mathematically right way to construct a pair is a ratio/product (Spreads are in fact = 2 legged portfolio, but I ain't told ya that ok). Why? Because a pair of 2 entities has a mathematically unique beauty, it allows direct comparisons and relationship analysis, smth you can't do directly with 3 and more components.
Multiplication (think inversions like (EURUSD -> USDEUR), and use cases for triangular arbitrage) is useful sometimes too.
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Quickguide:
First, "Legs" are pair components: make a pair of related assets. Don’t be guided exclusively by clustering, cointegrations, mutual information etc. Common sense and exogenous info can easily made them all Forward pricing model: is useful when u work with spot vs futures pairs. Otherwise: put financing, storage and yield all on zeros, this way u will turn it off and have a pure ratio/product of 2 legs.
Look at the 2 numbers on the script’s status line: the first one would always be 1), and the second one is a variable.
First number (always 1) is multiplier for your position size on leg 1
The second number is the multiplier for your position size on leg 2 in the opposite direction.
If both legs are related, trading your sizes with these multipliers makes you do statistical arbitrage -> trading ~ volatility in risk free mode, while the relationship between the assets is still in place.
Also guys srsly, nobody ‘ever’ made a universal law that somewhy somehow for whatever secret conspiracy reason one shall only trade pairs in mean reverting style xd. You can do whatever you want:
Tilt hedge ratio significantly based on relative strength of legs
Trade the pair in momentum style
Ignore hedge ratio all together
And more and more, the limit is your imagination, e.g.:
Anticipate hedge ratio changes based on exogenous info and act accordingly
Scalp a pair just like any other asset
Make a pair out of 2 pairs
Like I mean it, whatever you desire
About forward pricing model:
It’s applied only to leg 2;
Direct: takes spot price and finds out implied futures price
Inverse: takes futures price and finds out implied spot price (try on oil)
Pls read online how to choose parameters, it’s open access reliable info
About the hedge ratio I use:
You prolly noticed the way I prefer to use inferred volumes vs the “real” ones. In pairs it’s especially meaningful, because real volumes lose sense in pair creation. And while volumes are closely tied to volatility, the inferred volumes ‘Are’ volatility irl (and later can be converted to currency space by using point value, allowing direct comparisons symbol vs symbol).
This hedge ratio is a good example of how discovering the real nature of entities beats making 100s of inventions, why domain knowledge and proper feature engineering beats difficult bulky models, neural networks etc. How simple data understanding & operations on it is all you need.
This script simply does this:
Takes inferred volume delta of both assets, makes a ratio, normalizes it by tick sizes and points values of both legs, calculates a typical value of this series.
That’s it, no step 2, we’re done. No Kalman filters, no TLS regression, no vine copulas, or whatever new fancy keywords you can come up with etc.
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^^ comparing real ES prices vs theoretical ones by forward-pricing model. Financing: 0.04, yield 0.0175
^^ EURUSD, 6E futures with theoretical futures price calculated with interest rate differential 0.02 (4% USD - 2% EUR interest rates)
^^4 different pairs (RTY/ES, YM/ES, NQ/ES, ES/ZN) each with different plot style (pick one you like in script's Style settings)
^^ YM/RTY pair, each plot represents ratio of different features: ratio of prices, ratio of inferred volume deltas, ratio of inferred volumes, ratio of inferred tick counts (also can be turned on/off in Style settings)
...
How can u upgrade it and make a step forward yourself:
On tradingview missing values are automatically fixed by backfilling, and this never becomes a thing until you hit high frequency data. You can do better and use Kalman filter for filling missing values.
Script contains the functions I use everywhere to calculate inferred volume delta, inferred volume, and inferred tick count.
...
∞
Global M2 YoY % Change (USD) 10W-12W LEADthe base script is from @dylanleclair I modified it slightly according to the views on liquidity by professionals — average estimated lead time to price of btc, leading 10-12 weeks. liquidity and bitcoin’s price performance track pretty close and so it’s a cool tool for phase recognition, forward guidance and expectation management.
Realtime Position CalculatorRisk management is the single most important factor in trading success. This indicator automates the process of position sizing in real-time based on your account risk and a dynamic technical Stop Loss. It eliminates the need for manual calculations and helps you execute trades faster while adhering to strict risk management rules.
How it Works
The indicator visually places a Stop Loss line based on recent market structure (Highs/Lows) and instantly calculates the required position size (Contracts/Lots) to match your defined monetary risk.
1. Dynamic Stop Loss : It identifies the highest high (for Shorts) or lowest low (for Longs) over a user-defined lookback period.
2. Position Calculation : It calculates the distance between the current price and the Stop Loss level.
3. Formula : Contract Size = Risk Amount / (Distance * Point Value)
4. Actual vs. Target Risk : Because of the rounding, the script calculates and displays the Actual Risk (e.g., $95) alongside your Target Risk (e.g., $100), so you know exactly what is at stake.
Key Features
Real-time Calculation : Updates instantly as price moves.
Copy Trading Support : Includes an "Account Multiplier" setting. If you trade 10 accounts via a copy trader, set the multiplier to 10. The indicator will show the total contract size needed across all accounts.
Point Value Support : Works for Stocks/Crypto (Point Value = 1) and Futures (e.g., ES = 50, NQ = 20).
Customizable UI : Toggle specific data on/off in the label (e.g., hide price, show only contracts). Adjustable label offset to keep the chart clean.
Settings Guide
Trade Direction : Toggle between Long and Short setups. Add the indicator two times and set another for Longs and another for Shorts so you can see both direction at the same time.
Risk Amount : Your max risk in currency (e.g., $100).
Lookback : How many bars back to look for the SL pivot (e.g., 10 bars).
Point Value : Crucial for Futures. Use 1.0 for Crypto/Stocks. Use tick value/point value for futures (e.g., 50 for ES).
Account Multiplier : Multiply the position size for multiple accounts.
Label Offset : Move the information label to the right to avoid overlapping with price action.
Disclaimer
This tool is for informational and educational purposes only. Always verify calculations manually before executing trades. Past performance is not indicative of future results.
USOIL BOS Retest Strategy 2.0 This is generating 4.73% return nothing wow but will form the base of my trading engine
DAX-30 ATRXVersion 1 of DAX-30 ATRX algo.
Revised versions may be available in future.
To be used on the 45 minute timeframe only.
Algorithm is also profitable on the NAS100 - but use with caution.
Optimized Settings:
Higher-TF for trend bias - 4 hours
HTF EMA length - 5
Min HA body size (pts) - 0.5
RSI length - 14
RSI threshold for longs - 40
Fisher length - 11
Volume MA length - 20
Volume spike multiplier - 1.2
ATR length - 14
ATR-mean length - 80
Min ATR / ATR_mean multiplier - 0.8
Max ATR / ATR_mean multiplier - 2.5
SL = ATR x - 0.9
TP = ATR x - 2.1
NY Session ON
Max trades per day - 1
ETH UU Reversion Strategy Strategy Overview
The "ETH UU Reversion Strategy" is a sophisticated mean-reversion trading system designed to capture price reversals at standard deviation extremes. Unlike typical strategies that enter trades immediately at market price, this script employs a proprietary **Limit Order Execution Mechanism** combined with volatility filtering to optimize entry prices and reduce slippage.
Originality & Key Features
This script addresses the common pitfalls of standard Bollinger Band strategies by introducing advanced order management logic:
1. Limit Order Execution:** Instead of market orders, the strategy calculates an optimal entry price based on ATR offsets. This allows traders to capitalize on "wicks" and secure better risk-reward ratios.
2. Smart Timeout Logic:To prevent "catching a falling knife," pending orders are automatically cancelled if not filled within a customizable number of bars (default: 15). This ensures orders do not remain active when market structure shifts.
3. Dynamic Risk Recalculation:** Stop Loss (SL) and Take Profit (TP) levels are recalculated at the exact moment of execution using the real-time ATR, ensuring risk parameters adapt to current market volatility.
How to Use
1. Setup: Apply the strategy to ETH/USDT (or other crypto pairs) on 15m or 1h timeframes.
2. Configuration:
* Adjust `BB Length` and `RSI Length` to fit your timeframe.
* Set `Order Timeout` to define how long a pending order should remain active.
* Toggle `Use ADX Filter` to avoid trading against strong trends.
3. *Visuals: The chart displays distinct labels for pending orders (Gray), active entries (Blue/Red), and cancellations, providing full transparency of the strategy's logic.
Risk Disclaimer
This script is for educational and quantitative analysis purposes only. Past performance regarding backtesting or live trading does not guarantee future results. Cryptocurrency trading involves high risk and high volatility. Please use proper risk management and trade at your own discretion.
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Chinese Translation (中文说明)
策略概述
“ETH UU 均值回归策略”是一个旨在捕捉标准差极端位置价格反转的交易系统。与立即以市价入场的典型策略不同，本策略采用独特的**挂单执行机制**结合波动率过滤，以优化入场价格并减少滑点。
原创性与核心功能
本脚本通过引入高级订单管理逻辑，解决了普通布林带策略的常见缺陷：
1. 挂单交易模式： 策略不使用市价单，而是根据 ATR 偏移计算最佳入场价（Limit Orders）。这允许交易者捕捉K线的“影线”，获得更好的盈亏比。
2. 智能超时撤单： 为了防止“接飞刀”，如果挂单在指定K线数内（默认15根）未成交，系统会自动撤单。这确保了当市场结构发生变化时，旧的挂单不会被错误触发。
3. 动态风控重算： 止损和止盈在成交的瞬间根据实时 ATR 重新计算，确保风控参数始终适应当前的市场波动率。
风险提示
本脚本仅供教育和量化分析使用。回测或实盘的过往表现并不预示未来结果。加密货币交易具有极高的风险和波动性，请务必做好仓位管理，并自行承担使用本策略的风险。
Kalkulator pozycji XAUUSD PLN, 1:500, 1100 to 100 kontaPosition calculator based on the number of pips that you quickly enter from the tool, this device will select the appropriate lot for you and you can quickly take a position
Volume and Volatility Crisis Detector Volume + Volatility Crisis Detector Pro
Created by Alphaomega18
🎯 What is the Crisis Detector Pro?
The Volume + Volatility Crisis Detector Pro is an advanced indicator that combines:
8-Level Volume Analysis: Progressive detection of volume anomalies
Hedging Index: Measurement of institutional fear and protection activity
Progressive Crisis Detection: Identification of pre-crisis patterns like 1987 and 2008
📊 Indicator Components
1️⃣ Volume Ratio
Description:
Compares current volume to its 20-period moving average
Normal value: ~1.0 (volume = average)
High value: >2.0 (volume double the average)
Extreme value: >3.0 (volume triple the average)
8-Level Classification:
LevelRatioColorMeaning1< 1.25x⚪ GrayNormal volume21.25-1.5x🟢 GreenEarly alert31.5-1.75x🟡 Light YellowLight increase41.75-2.0x🟡 YellowModerate52.0-2.25x🟠 OrangeSignificant62.25-2.5x🟠 Dark OrangeVery high72.5-3.0x🔴 RedExtreme8> 3.0x🔴 Bright RedCRISIS
2️⃣ Hedging Index
Description:
Estimates institutional hedging activity (protection buying)
Based on: Weighted bearish volume + ATR volatility
Scale: 0.3 to 2.5 (like a Put/Call ratio)
Hedging Levels:
ValueColorMeaning< 0.7🟢 GreenNormal hedging0.7-1.0🟡 YellowElevated hedging1.0-1.3🟠 OrangeHigh hedging> 1.3🔴 RedPANIC - Extreme hedging
Interpretation:
Rising hedging = Institutions protecting → Market fear
Falling hedging = Confidence returning → Possible rebound
⚙️ Main Parameters
Calculations:
Moving Average Period: 20 (reference period for averages)
Volume Classification (8 Levels):
Level 1: 1.25x (early alert)
Level 2: 1.5x (light increase)
Level 3: 1.75x (moderate)
Level 4: 2.0x (significant)
Level 5: 2.25x (high)
Level 6: 2.5x (very high)
Level 7: 3.0x (extreme)
Level 8: > 3.0x (crisis)
Hedging:
Enable Hedging Detection: Enable/disable hedging index
Hedging Period: 14 (smoothing period)
Display:
Show Signals: Display visual signals
📈 Visual Elements
Main Lines:
Volume Ratio (thick colored line): Current volume ratio vs average
🛡️ Hedging Index (thick colored line): Institutional hedging index
Horizontal Threshold Lines:
For Volume:
1.0 = Normal (thick gray line)
1.25 = Level 1 (green dashed)
1.5 = Level 2 (yellow dashed)
2.0 = Level 4 (orange dashed)
3.0 = Level 7 (red dashed)
For Hedging:
0.7 = Normal (thin green dashed)
1.0 = High (thin orange dashed)
1.3 = PANIC (thin red dashed)
Visual Signals:
🔴 Red triangle: Extreme volume (level 7-8)
🟠 Orange triangle: High volume (level 5-6)
🟡 Yellow triangle: Moderate volume (level 3-4)
Colored Background:
Transparent red: Extreme volume or panic hedging
🎯 How to Use the Indicator
1. Installation
Open TradingView
Click "Indicators" at top of chart
Click "Pine Editor" at bottom
Paste the code
Click "Add to Chart"
2. Reading the Chart
Volume Ratio (main line):
Around 1.0 = Normal volume, no alert
Between 1.25 and 2.0 = Volume increasing, watch closely
Above 2.0 = Abnormal volume, strong activity
Above 3.0 = CRISIS - Extreme volume
Hedging Index (hedging line):
Around 0.7 = Calm market
Rising toward 1.0 = Growing nervousness
Above 1.3 = Institutional PANIC
3. Trading Strategies
🟢 Scalping/Day Trading:
Volume Ratio > 2.0:
Scalping opportunity in direction of movement
Quick entries with tight stops
Exit on activity spikes
Hedging Index > 1.0:
Nervous market = bounce opportunities
Wait for confirmation before entering
🟠 Swing Trading:
Volume Ratio > 2.5:
Avoid opening new swing positions
Protect existing positions (trailing stops)
Wait for return to normal (< 1.5)
Hedging Index > 1.3:
Panic = possible capitulation
Look for reversal opportunities
Wait for hedging to drop
🔴 Risk Management:
Volume RatioHedging IndexRecommended Action< 1.5< 0.7Normal trading1.5-2.00.7-1.0Increased monitoring2.0-3.01.0-1.3Reduce exposure 50%> 3.0> 1.3STOP trading / Protection
4. Crisis Patterns (1987/2008 Style)
Pre-Crisis Pattern:
Volume staying above 1.5x for 5+ days
With 3+ days above 2.0x
= Stress accumulation before explosion
Crisis Building Pattern:
5+ consecutive days above 2.0x
Hedging rising progressively
= Crisis is building
Immediate Crisis Pattern:
Volume > 3.0x
Hedging > 1.3
= Widespread PANIC
🔔 Configurable Alerts
The indicator includes 6 main alerts:
🟢 Level 1: First volume anomaly (1.25x)
🔴 Level 6+: Very high volume (2.25x+)
🔴🔴 CRISIS: Extreme volume (3.0x+)
🛡️ PANIC HEDGING: Panic hedging (1.3+)
Configuration:
Right-click on chart
"Create Alert"
Condition: Select desired alert
Options: Set frequency
Actions: Email, notification, webhook, etc.
💡 Real Use Cases
Example 1: Flash Crash
Volume Ratio: 4.5 (🔴)
Hedging Index: 1.8 (🔴)
Signal: EXTREME CRISIS
Action: Full protection, no new trades
Example 2: Fed Announcement
Volume Ratio: 2.3 (🟠)
Hedging Index: 1.1 (🟠)
Signal: High volume and hedging
Action: Reduce positions, wide stops
Example 3: Technical Squeeze
Volume Ratio: 2.8 (🔴)
Hedging Index: 0.9 (🟡)
Signal: Breakout without panic
Action: Follow movement with confirmation
Example 4: Capitulation
Volume Ratio: 3.5 (🔴)
Hedging Index: 1.5 → 0.8 (rapid drop)
Signal: Panic then relief
Action: Look for bounce opportunities
🔧 Parameter Optimization
Scalping (1-5 min):
Moving Average Period: 10
Level 1: 1.2x
Level 4: 1.8x
Level 7: 2.5x
Hedging Period: 7
Day Trading (15min-1H):
Moving Average Period: 20 (default)
All thresholds: Default
Hedging Period: 14 (default)
Swing Trading (4H-Daily):
Moving Average Period: 30-50
Level 1: 1.3x
Level 4: 2.2x
Level 7: 3.5x
Hedging Period: 20
Crypto (Very volatile):
Moving Average Period: 20
Level 1: 1.5x
Level 4: 2.5x
Level 7: 4.0x
Hedging Period: 14
⚠️ Limitations and Best Practices
❌ Limitations:
Hedging is estimated, not based on real Put/Call data
May give false signals in very volatile markets
Requires significant volume to be reliable
✅ Best Practices:
Always combine with classic technical analysis
Never trade solely on alerts
Adapt thresholds to your asset and timeframe
Backtest before using live
Respect your risk management plan
Golden Rule:
"The indicator detects anomalies, not direction. Always wait for confirmation before entering positions."
📈 Performance and Compatibility
✅ Real-time: Instant detection (0 lag)
✅ All markets: Stocks, Futures, Forex, Crypto
✅ All timeframes: 1min to Monthly
✅ Lightweight: Optimized, no slowdown
✅ Multi-platform: TradingView web, mobile, desktop
🎓 Historical Crises
1987 - Black Monday:
Volume Ratio: x5-x10 for several days
Pattern: Progressive increase then explosion
2008 - Lehman Brothers:
Volume Ratio: x3-x7 for weeks
Hedging: Historical record
Pattern: Prolonged stress then panic
2020 - COVID Crash:
Volume Ratio: x4-x8 in few days
Pattern: Rapid fall with intense panic
2022 - Crypto Winter:
Volume Ratio: x2-x4 over several months
Pattern: Successive capitulations
NQ Points of Interest Suite (Fixed)Defines pre level of support and resistance
Daily MID LOW OPEN CLOSE
WEEKLY MID LOW OPEN CLOSE
MONTHLY MID LOW OPEN CLOSE
SMC Pro+ ICT v4 Enhanced - FINAL🎯 SMC Pro+ ICT v4 Enhanced - Complete Smart Money Trading System📊 Professional All-in-One Indicator for Smart Money Concepts & ICT MethodologyThe SMC Pro+ ICT v4 Enhanced is a comprehensive trading system that combines Smart Money Concepts (SMC) with Inner Circle Trader (ICT) methodology. This indicator provides institutional-grade market structure analysis, liquidity mapping, and volume profiling in one powerful package.✨ CORE FEATURES🏗️ Advanced Market Structure Detection
MSS (Market Structure Shift) - Identifies major trend reversals with precision
BOS (Break of Structure) - Confirms trend continuation moves
CHoCH (Change of Character) - Detects internal structure shifts
Modern LuxAlgo-Style Lines - Clean, professional visualization
Dual Sensitivity System - External structure (major swings) + Internal structure (minor swings)
Customizable Labels - Tiny, Small, or Normal sizes
Structure Break Visualization - Clear break point markers
💎 Supply & Demand Zones (POI - Point of Interest)
Institutional Order Blocks - Where smart money enters/exits
ATR-Based Zone Sizing - Dynamically adjusted to market volatility
Smart Overlap Detection - Prevents cluttered charts
Historical Zone Tracking - Maintains up to 50 zones
POI Central Lines - Pinpoint entry/exit levels
Auto-Extension - Zones extend to current price
Auto-Cleanup - Removes broken zones automatically
📦 Fair Value Gap (FVG) Detection
Bullish & Bearish FVGs - Institutional inefficiencies
Consequent Encroachment (CE) - 50% fill levels
Auto-Delete Filled Gaps - Keeps charts clean
Customizable Lookback - 1-30 days of history
Color-Coded Zones - Easy visual identification
CE Line Styles - Dotted, Dashed, or Solid
🚀 Enhanced PVSRA Volume Analysis
This is one of the most powerful features:
200% Volume Candles - Extreme institutional activity (Lime/Red)
150% Volume Candles - High institutional interest (Blue/Fuchsia)
Volume Climax Detection - Major reversal signals with 2.5x+ volume
Exhaustion Signals - Identifies buying/selling exhaustion with high accuracy
Enhanced Volume Divergence - NEW! High-quality reversal detection
Price makes lower low, Volume makes higher low = Bullish Divergence
Price makes higher high, Volume makes lower high = Bearish Divergence
Strict trend context filtering for accuracy
Rising/Falling Volume Patterns - Momentum confirmation (allows 1 exception in 3 bars)
Volume Spread Analysis - Price range × Volume for true strength
Body/Wick Ratio Analysis - Candle structure quality
ATR Normalization - Adjusts for different market volatility
Volume Profile Indicators - 🔥 EXTREME, ⚡ VERY HIGH, 📈 HIGH, ✅ ABOVE AVG
💧 Advanced Liquidity System
Smart money targets these levels:
Weekly High/Low Liquidity - Major institutional targets
Daily High/Low Liquidity - Intraday key levels
4H Session Liquidity - Short-term targets
Distance Indicators - Shows % distance from current price
Strength Indicators - Identifies high-probability sweeps
Swept Level Detection - Tracks executed liquidity grabs
Customizable Line Styles - Width, length, offset controls
Color-Coded Levels - Easy visual hierarchy
🎯 Master Bias System
Data-driven directional bias with 9-factor scoring:
Bull/Bear Bias Calculation - 0-100% scoring system
Multi-Timeframe Analysis - Daily, 4H, 1H trend alignment
Kill Zone Integration - London (2-5 AM) & NY (8-11 AM) sessions
EMA Alignment Factor - Trend confirmation
Volume Confirmation - Adds 5% when volume supports direction
Range Filter Integration - Adds 10% for trending markets
Session Context - Above/below session midpoint scoring
Bias Strength Rating - STRONG (>75%), MODERATE (60-75%), WEAK (<60%)
Real-Time Updates - Dynamic recalculation
📈 Premium & Discount Zones
Fibonacci-based institutional pricing:
Extreme Premium - Above 78.6% (Overvalued)
Premium Zone - 61.8% - 78.6% (Expensive)
Equilibrium - 38.2% - 61.8% (Fair Value)
Discount Zone - 21.4% - 38.2% (Cheap)
Extreme Discount - Below 21.4% (Undervalued)
Visual Zone Boxes - Color-coded for instant recognition
200-500 Bar Lookback - Customizable range calculation
🔄 Range Filter
Advanced trend detection:
Smoothed Range Calculation - Eliminates noise
Dynamic Support/Resistance - Auto-adjusting levels
Upward/Downward Counters - Measures trend strength
Color-Coded Line - Green (uptrend), Red (downtrend), Orange (ranging)
Adjustable Period - 1-200 bars
Multiplier Control - Fine-tune sensitivity (0.1-10.0)
🌊 Liquidity Zones (Vector Zones)
PVSRA-based horizontal liquidity:
Above Price Zones - Resistance clusters
Below Price Zones - Support clusters
Maximum 500 Zones - Professional-grade capacity
Body/Wick Definition - Choose zone boundaries
Auto-Cleanup - Removes cleared zones
Color Override - Custom styling options
Transparency Control - 0-100% opacity
📊 EMA System
Triple EMA trend confirmation:
Fast EMA (9) - Green line - Immediate trend
Medium EMA (21) - Blue line - Short-term trend
Slow EMA (50) - Red line - Major trend
EMA Alignment Detection - Bull/Bear stack confirmation
Dashboard Integration - Status: 📈 BULL ALIGN, 📉 BEAR ALIGN, 🔀 MIXED
Adjustable Lengths - Customize all three EMAs (5-200)
🎯 IDM (Institutional Decision Maker) Levels
Key institutional price levels:
Latest IDM Detection - 20-bar pivot lookback
Extended Lines - Projects 50 bars into future
Customizable Styles - Solid, Dashed, or Dotted
Line Width Control - 1-5 pixels
Color Selection - Match your chart theme
Price Label - Shows exact level with tick precision
📱 Professional Dashboard
Real-time market intelligence panel:
🎯 SIGNAL - 🟢 LONG, 🔴 SHORT, ⏳ WAIT, 🛑 NO TRADE
🎲 BIAS - Bull/Bear with STRONG/MODERATE/WEAK rating
📊 BULL/BEAR Scores - 0-100% percentage display
💎 ZONE - Current premium/discount location
🕐 KZ - Kill Zone status (🇬🇧 LONDON/🇺🇸 NY/⏸️ OFF)
🏗️ STRUCT - Market structure status (BULLISH/BEARISH/NEUTRAL)
⚡ EVENT - Last structure event (MSS/BOS)
⚡ INT - Internal structure trend
🎯 IDM - Latest institutional level
📊 EMA - EMA alignment status
🔄 RF - Range Filter direction
📊 PVSRA - Volume status (🚀 CLIMAX/📈 RISING/📉 FALLING)
📅 MTF - Multi-timeframe alignment (✅ FULL/⚠️ PARTIAL/❌ CONFLICT)
💪 CONF - Confidence score (0-100%)
📊 VOL - Volume ratio (e.g., 1.8x average)
Advanced Metrics (Toggle On/Off):
📏 RSI - Value + Status (OVERBOUGHT/STRONG/NEUTRAL/WEAK/OVERSOLD)
📈 MACD - Value + Direction (BULL/BEAR)
🌪️ VOL - Volatility state (⚠️ EXTREME/🔥 HIGH/📊 NORMAL/😴 LOW)
🔊 VOL PROF - Volume profile ratio
⏱️ TF - Current timeframe
Dashboard Customization:
4 Positions - Top Left, Top Right, Bottom Left, Bottom Right
3 Sizes - Small, Normal, Large
2 Modes - Compact (MTF combined) or Full (separate rows)
Professional Design - Dark theme with color-coded cells
🎮 TRADING SIGNALS & SETUP SCORING🟢 LONG Setup Requirements (9-Factor Confidence Score)
MTF Alignment - Daily/4H/1H/Structure all bullish (+2 points for full, +1 for partial)
Volume Confirmation - Above 1.2x average (+1 point)
Structure Event - MSS or BOS bullish (+2 points)
EMA Alignment - 9 > 21 > 50 (+1 point)
Kill Zone Active - London/NY + Bull bias >75% (+2 points)
Bias Match - Master bias matches structure trend (+1 point)
Confidence Threshold - >60% minimum for signal
🔴 SHORT Setup Requirements
Same 9-factor system but inverted for bearish conditions.💪 Confidence Levels
75-100% - ⭐ HIGH CONFIDENCE (Strong setup, all factors aligned)
50-74% - ⚠️ MODERATE (Good setup, partial alignment)
0-49% - ❌ LOW CONFIDENCE (Wait for better setup)
🎯 Signal Output
🟢 LONG - Bull bias + Bullish structure + >60% confidence
🔴 SHORT - Bear bias + Bearish structure + >60% confidence
⏳ WAIT LONG - Bull bias but low confidence
⏳ WAIT SHORT - Bear bias but low confidence
🛑 NO TRADE - Neutral bias or conflicting signals
🔔 COMPREHENSIVE ALERT SYSTEM (12 Alerts)Structure Alerts
⚡ MSS Bullish - Major bullish reversal
⚡ MSS Bearish - Major bearish reversal
📈 BOS Bullish - Bullish continuation
📉 BOS Bearish - Bearish continuation
⚠️ CHoCH Bullish - Internal bullish shift
⚠️ CHoCH Bearish - Internal bearish shift
Bias & Confidence Alerts
🟢 Bias Shift Bull - Master bias turns bullish
🔴 Bias Shift Bear - Master bias turns bearish
⭐ High Confidence - Setup reaches 75%+ confidence
Volume Alerts (High Probability)
🚀 Volume Climax Buy - Extreme bullish volume spike
💥 Volume Climax Sell - Extreme bearish volume spike
⚠️ Selling Exhaustion - Potential bullish reversal
⚠️ Buying Exhaustion - Potential bearish reversal
📊 Bullish Volume Divergence - High-quality bullish reversal signal
📊 Bearish Volume Divergence - High-quality bearish reversal signal
🎨 EXTENSIVE CUSTOMIZATIONColors & Styling
✅ All colors customizable for every component
✅ Supply/Demand zone colors + outlines
✅ FVG colors (bullish/bearish)
✅ PVSRA candle colors (6 types)
✅ Liquidity level colors (Weekly/Daily/4H/Swept)
✅ Structure line colors
✅ Premium/Equilibrium/Discount zone colorsDisplay Controls
✅ Toggle each feature on/off independently
✅ Adjustable sensitivities (Structure: 5-30, Internal: 3-15)
✅ Label size controls (Tiny/Small/Normal)
✅ Line width adjustments (1-5 pixels)
✅ Transparency controls (0-100%)
✅ Extension lengths (20-100 bars)
✅ Lookback periods (50-500 bars)Volume Settings
✅ PVSRA symbol override (trade one asset, analyze another)
✅ Climax threshold (2.0-5.0x)
✅ Rising volume bar count (2-5 bars)
✅ Divergence filters (Strict/Lenient)
✅ Divergence minimum bars (10-30)
✅ Volume threshold multiplier (1.0-2.0x)Dashboard Settings
✅ Position (4 corners)
✅ Size (Small/Normal/Large)
✅ Compact/Full mode
✅ Show/Hide advanced metrics
✅ Show/Hide EMA status💡 BEST PRACTICES & USAGE TIPS⏰ Optimal Timeframes
Scalping - 1m, 5m (Use Kill Zones, Volume Climax, FVG)
Day Trading - 5m, 15m, 1H (Use Structure, Liquidity, Bias)
Swing Trading - 4H, Daily (Use MTF, Premium/Discount, Structure)
Position Trading - Daily, Weekly (Use major structure, liquidity)
🎯 Asset Classes
✅ Forex - All pairs (especially majors during Kill Zones)
✅ Crypto - BTC, ETH, altcoins (24/7 liquidity)
✅ Stocks - All stocks and indices (use session times)
✅ Commodities - Gold, Silver, Oil (high volume periods)
✅ Indices - S&P 500, NASDAQ, DAX, etc.🔥 High-Probability Setups
The Perfect Storm
MSS in direction of daily trend
Kill Zone active
Volume climax
Confidence >75%
Price in discount (long) or premium (short)
Volume Divergence Play
Enhanced volume divergence signal
CHoCH confirms direction change
Price near liquidity level
FVG forms for entry
Liquidity Sweep
Price sweeps weekly/daily high/low
Immediate rejection (selling/buying exhaustion)
Structure shift (MSS)
Volume confirmation
Structure Retest
BOS breaks structure
Price returns to POI/FVG
Volume confirms (>1.2x)
Kill Zone active
📊 Multi-Timeframe Analysis
Higher Timeframe - Identify trend & structure (Daily/4H)
Trading Timeframe - Find entries (15m/1H)
Lower Timeframe - Precise entries (1m/5m)
Look for MTF alignment - Dashboard shows ✅ FULL or ⚠️ PARTIAL
⚠️ Risk Management
Always use stop-loss (below/above recent structure)
Position size: 1-2% risk per trade
Target liquidity levels for take profit
Use supply/demand zones for SL placement
Watch for exhaustion signals near targets
swing indicator Installation & Configuration - swing Indicator
⚙️ Parameter Configuration
"Settings" Group (General Parameters)
Show Moving Average: Show/hide the OI moving average
✅ Recommended: Enabled to visualize the trend
Helps identify if OI is above or below its average
MA Period: Moving average period (default: 20)
📊 Common values:
20: Short/medium term trend (responsive)
50: Medium term trend (balanced)
100: Long term trend (stable)
Compare with Volume: Display normalized volume in background
💡 Useful to compare OI evolution with volume
Helps identify divergences between Open interest (oi) and Volume
OI Significant Change Threshold: Detection threshold for significant changes
Available options: 10%, 15%, 20%, 25%, 30%, 40%
🎯 10-15%: High sensitivity (many signals, possible noise)
🎯 20-25%: Normal sensitivity (moderate signals, recommended)
🎯 30-40%: Low sensitivity (rare but very significant signals)
⚡ This threshold determines when green/red triangles appear
Manual OI Symbol (optional): Manually enter the OI symbol
📝 Leave empty for automatic detection
⚙️ Use only if your symbol is not automatically recognized
Manual example: COMEX:GC1!_OI for gold
"Visual Signals" Group
Show Triangles (Significant Changes): Show/hide triangles
▲ GREEN Triangle = Significant OI increase (> configured threshold)
▼ RED Triangle = Significant OI decrease (< -configured threshold)
✅ Recommended: Enabled to see important changes
💡 Disable if you find the chart too cluttered
Show Circles (MA Crossovers): Show/hide circles
● GREEN Circle = OI crosses MA upward
● RED Circle = OI crosses MA downward
✅ Recommended: Enabled if you use MA crossover strategy
💡 Disable if you focus only on OI variations
"Style" Group (Color Customization)
OI Color: Main Open Interest histogram color
Default: Blue
🎨 Customize according to your visual preferences
OI Rising: Histogram color when OI increases
Default: Transparent green
Subtle display of direction
OI Falling: Histogram color when OI decreases
Default: Transparent red
Subtle display of direction
MA Color: Moving average color
Default: Orange
Should contrast with OI color
Volume Color: Normalized volume background color
Default: Transparent gray
Discreet enough not to hinder reading
📊 Reading the Information Panel
The panel at the top right of the chart displays:
By: Alphaomega18
Indicator creator's signature
⚠️ WARNING: OI symbol not detected
Only appears if OI symbol is not automatically detected
Action: Check symbol or enter manually
Open Interest
Current Open Interest value
Format: number of contracts (e.g., 485.2K = 485,200 contracts)
Change
OI % change from previous bar
🟢 Green = OI increase
🔴 Red = OI decrease
Ex: +2.45% = OI increased by 2.45%
Threshold
Displays configured threshold for alerts
Ex: "25%" = alerts triggered at +25% or -25%
Yellow color for visibility
MA(20)
Current moving average value
Number in parentheses indicates period
Ex: MA(50) if you configured a 50 period
Signal
🟢 Strong Trend: OI > MA → Strong participation, solid trend
🔴 Weak Trend: OI < MA → Weak participation, fragile trend
🎯 Visual Signals on Chart
Triangles (Significant Changes)
▲ GREEN Triangle (bottom of chart)
Meaning: Significant OI increase
Trigger: OI increases more than configured threshold
Example: If threshold = 25%, triangle appears when OI +25% or more
📈 Interpretation: New contracts opened = growing interest
▼ RED Triangle (bottom of chart)
Meaning: Significant OI decrease
Trigger: OI decreases more than configured threshold
Example: If threshold = 25%, triangle appears when OI -25% or less
📉 Interpretation: Massive position closing = disengagement
Circles (Moving Average Crossovers)
🟢 GREEN Circle (bottom of chart)
Meaning: OI just crossed MA upward
Signal: Open interest back above its average
📊 Interpretation: Interest returning, potential trend start
🔴 RED Circle (top of chart)
Meaning: OI just crossed MA downward
Signal: Open interest back below its average
📊 Interpretation: Decreasing interest, potential weakening
🔔 Alert Configuration
Create an alert:
Right-click on chart → "Add Alert" (or ALT + A)
In "Condition", select "Open Interest"
Choose alert type from 4 available
Configure notification options
Click "Create"
Available alert types:
OI Significant Increase
Triggers when OI increases beyond configured threshold
Example: Threshold 25% → Alert if OI +25% or more
Use: Detect massive influx of new contracts
OI Significant Decrease
Triggers when OI decreases beyond configured threshold
Example: Threshold 25% → Alert if OI -25% or less
Use: Detect massive position closing
OI crosses MA up
Triggers when OI crosses its moving average upward
Condition: OI was below MA and crosses above
Use: Identify interest returning
OI crosses MA down
Triggers when OI crosses its moving average downward
Condition: OI was above MA and crosses below
Use: Identify decreasing interest
Notification configuration:
✉️ Email: Receive alert via email
📱 SMS: Receive alert via SMS (subscription required)
🔔 Popup: Notification on TradingView
📲 App: Notification on TradingView mobile app
🔗 Webhook: Send alert to external system
💡 Advanced Interpretation
Combined OI + Price Analysis:
Open InterestPriceInterpretationSuggested Action↑ Rising↑ Rising🟢 STRONG UptrendNew buyers entering, robust trend, consider long positions↑ Rising↓ Falling🔴 STRONG DowntrendNew sellers entering, bearish pressure, consider short positions↓ Falling↑ Rising📊 Short coveringClosing short positions, potentially temporary move↓ Falling↓ Falling📊 Long liquidationClosing long positions, potentially temporary move
OI vs Moving Average:
OI > MA (Signal: Strong Trend)
Open interest above its average
Market participation above normal
Trend supported by growing interest
✅ Increased confidence in market direction
OI < MA (Signal: Weak Trend)
Open interest below its average
Market participation below normal
Potentially fragile trend
⚠️ Caution: trend lacks conviction
OI vs Volume:
Rising OI + Rising Volume
New contracts + high trading activity
💪 Very strong trend signal
Falling OI + Rising Volume
Position closing + high activity
⚡ Potential reversal or massive profit-taking
Stable OI + Rising Volume
Transfer of positions between traders
🔄 Changing hands, no new commitments
🛠️ Troubleshooting
❌ Issue: "⚠️ WARNING - OI symbol not detected"
✅ Solutions:
Check contract symbol
Make sure you're on a continuous futures contract (e.g., GC1!, CL1!)
Not on a specific contract (e.g., GCZ2024)
Enter symbol manually
Go to Settings → Manual OI Symbol
Format: EXCHANGE:SYMBOL_OI
Examples:
Gold: COMEX:GC1!_OI
WTI Crude: NYMEX:CL1!_OI
Natural Gas: NYMEX:NG1!_OI
Check data availability
Not all markets have public OI data
Verify on TradingView if OI data exists
❌ Issue: No data displayed (empty chart)
✅ Solutions:
Change timeframe
OI is generally published daily
Switch to Daily (1D) or Weekly (1W)
Intraday timeframes may not have data
Check data connection
Refresh TradingView page
Check your TradingView subscription (some data requires subscription)
Test on another market
Try with gold (COMEX:GC1!) which always has OI data
If it works, problem comes from initial market
❌ Issue: Too many visual signals (cluttered chart)
✅ Solutions:
Increase detection threshold
Settings → OI Significant Change Threshold
Change from 20% to 30% or 40%
Fewer signals, but more significant
Disable some signals
Visual Signals → Uncheck "Show Triangles" or "Show Circles"
Keep only the most important signals for you
Adjust colors
Style → Reduce color opacity
Make signals more discreet visually
❌ Issue: Not enough signals
✅ Solutions:
Reduce detection threshold
Settings → OI Significant Change Threshold
Change to 10% or 15%
More signals, but beware of noise
Enable all signals
Visual Signals → Check "Show Triangles" AND "Show Circles"
Full display of all events
Reduce MA period
Settings → MA Period → Change from 20 to 10
More responsive MA = more crossovers
📈 Compatible Markets (Auto-detection)
✅ Energy (NYMEX)
CL, CL1!: WTI Crude Oil
BZ, BZ1!: Brent Crude
NG, NG1!: Natural Gas
RB, RB1!: RBOB Gasoline
HO, HO1!: Heating Oil
✅ Precious Metals (COMEX/NYMEX)
GC, GC1!: Gold
SI, SI1!: Silver
PL, PL1!: Platinum
PA, PA1!: Palladium
HG, HG1!: Copper
✅ Industrial Metals (LME)
ALI, ALI1!: Aluminum
ZNC, ZNC1!: Zinc
NI, NI1!: Nickel
✅ Agriculture - Grains (CBOT)
ZC, ZC1!: Corn
ZW, ZW1!: Wheat
ZS, ZS1!: Soybeans
ZM, ZM1!: Soybean Meal
ZL, ZL1!: Soybean Oil
ZO, ZO1!: Oats
ZR, ZR1!: Rice
✅ Agriculture - Softs (ICE)
SB, SB1!: Sugar
KC, KC1!: Coffee
CC, CC1!: Cocoa
CT, CT1!: Cotton
OJ, OJ1!: Orange Juice
✅ Livestock (CME)
LE, LE1!: Live Cattle
GF, GF1!: Feeder Cattle
HE, HE1!: Lean Hogs
✅ Other
LBS, LBS1!: Lumber (CME)
🎓 Usage Tips
For beginners:
Start with default parameters (threshold 25%, MA 20)
Enable all visual signals
Focus on liquid markets (gold, crude oil)
Observe how OI reacts to price movements
For intermediate traders:
Adjust threshold according to market volatility (15-30%)
Combine with other technical indicators
Create alerts for significant changes
Analyze OI/Price divergences
For advanced traders:
Use multiple MA periods (20, 50, 100)
Analyze OI/Volume/Price correlation
Configure alerts on multiple timeframes
Integrate into complete trading strategy
📊 Practical Example
Scenario: Gold Trading (COMEX:GC1!)
Initial setup:
Threshold: 20% (gold volatile)
MA: 20 days
All signals enabled
Timeframe: Daily (1D)
Observation:
Gold price: Uptrend
OI: ▲ Green triangle (increase of +22%)
Signal: 🟢 Strong Trend (OI > MA)
Interpretation:
New buyers massively entering
Uptrend supported by OI
Strong market conviction
Action:
✅ Long position validated by OI
Stop loss below technical support
Monitor if OI continues to increase
✨ Made by Alphaomega18
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
STS FULL OPTIONAL 2.0 (SURGICAL EDIT)STS TITAN 2.0: The End of Manual Analysis
Stop drawing lines. Stop guessing directions. Start executing trades.
Trading shouldn't be about spending hours analyzing charts. It should be about spotting the opportunity and taking it. STS TITAN 2.0 (Surgical Edit) is not just an indicator—it is an institutional-grade algorithm that does the analysis for you.
It doesn't just show you "data"; it projects actionable, high-probability ENTRY ZONES directly onto your chart.
💎 WHY THIS IS DIFFERENT (The Unfair Advantage)
Most indicators clutter your screen. TITAN gives you clarity. It applies a "Triple Confluence Algorithm" (Market Structure + Volume POC + Fibonacci) to filter out noise and leave you with only the highest quality setups.
🔥 KEY FEATURES:
🎯 Zero Analysis Required: The algorithm automatically identifies Supply & Demand zones. You don't have to draw a single box.
🛡️ The "SAFE STRIP" Technology: Inside every zone, TITAN highlights the inner "Safe Strip" (the optimal 25%). This tells you exactly where to place your limit order for maximum precision and zero drawdown.
⚡ Surgical "Auto-Clean": The code is strict. If a candle wick invalidates a zone, TITAN instantly removes it. No confusion, no old levels. Only fresh, tradable zones.
🧠 Automated Confluence: A zone only turns BLUE (Buy) or RED (Sell) when the Asian Strategy, Fibonacci Golden Zone, and Volume Profile align.
This is the closest you will get to having a professional analyst sitting next to you 24/7.
👉 Unlock your edge. Let TITAN find the trade.
(Alternative: Ultra-Short Version)
🚀 STS TITAN 2.0: Automated Institutional Entries
Tired of manual analysis? Let the algorithm do the work. TITAN 2.0 scans Market Structure, Volume POC, and Fibonacci levels to project High-Probability Entry Zones directly on your chart.
✅ Auto Supply & Demand: No drawing needed.
✅ Surgical Precision: "Safe Strip" technology for sniper entries.
✅ Verified Setups: Zones change color only when fully confirmed.
Stop guessing. Let the code find the entry.
Adaptive Risk Management [sgbpulse]1. Introduction:
Adaptive Risk Management is an advanced indicator designed to provide traders with a comprehensive risk management tool directly on the chart. Instead of relying on complex manual calculations, the indicator automates all critical steps of trade planning. It dynamically calculates the estimated Entry Price , the Stop Loss location, the required Position Size (Quantity) based on your capital and risk limits, and the three Take Profit targets based on your defined Reward/Risk ratios. The indicator displays all these essential data points clearly and visually on the chart, ensuring you always know the potential risk-reward profile of every trade.
ARM : The A daptive R isk M anagement every trader needs to ARM themselves with.
2. The Critical Importance of Risk Management
Proper risk management is the cornerstone of successful trading. Consistent profitability in the market is impossible without rigorously defining risk limits.
Risk Control: This starts by setting the maximum risk amount you are willing to lose in a single trade (Risk per Trade), and limiting the total capital allocated to the position (Max Capital per Trade).
Defining Boundaries (Stop Loss & Take Profit): It is mandatory to define a technical Stop Loss and a Take Profit target. A fundamental rule of risk management is that the Reward/Risk Ratio (R/R) must be a minimum of 1:1.
3. Core Features, Adaptivity, and Customization
The Adaptive Risk Management indicator is engineered for use across all major trading styles, including Swing Trading, Intraday Trading, and Scalping, providing consistent risk control regardless of the chosen timeframe.
Real-Time Dynamic Adaptivity: The indicator calculates all risk management parameters (Entry, Stop Loss, Quantity) dynamically with every new bar, thus adapting instantly to changing market conditions.
Trend Direction Adjustment: Define the analysis direction (Long/Uptrend or Short/Downtrend).
Intraday Session Data Control: Full control over whether lookback calculations will include data from Extended Trading Hours (ETH), or if the daily calculations will start actively only from the first bar of Regular Trading Hours (RTH).
Status Validation: The indicator performs critical status checks and displays clear Warning Messages if risk conditions are not met.
4. Intuitive Visualization and Real-Time Data
Dynamic Tracking Lines: The Entry Price and Stop Loss lines are updated with every new bar. Crucially, the length of these lines dynamically reflects the calculation's lookback range (e.g., the extent of Lookback Bars or the location of the confirmed Pivot Point), providing a visual anchor for the calculated price.
Risk and Reward Zones: The indicator creates a graphical background fill between Entry and Stop Loss (marked with the risk color) and between Entry and the Reward Targets (marked with the reward color).
Essential Information Labels: Labels are placed at the end of each line, providing critical data: Estimated Entry Price, Stock/Contract Quantity (Quantity), Total Entry Amount, Estimated Stop Loss, Risk per Share, Total Financial Risk (Risk Amount), Exit Amount, Estimated Take Profit 1/2/3, Reward/Risk Ratio 1/2/3, Total Reward 1/2/3, TP Exit Amount 1/2/3.
4.1. Data Window Metrics (16 Full Series)
The indicator displays 16 full data series in the TradingView Data Window, allowing precise tracking of every calculation parameter:
Entry Data: Estimated Entry, Quantity, Entry Amount.
Risk Data (Stop Loss): Estimated Stop Loss, Risk per Share, Risk Amount, Exit Amount.
Reward Data (Take Profit): Estimated Take Profit 1/2/3, Reward/Risk Ratio 1/2/3, Total Reward 1/2/3, TP Exit Amount 1/2/3.
4.2. Instant Tracking in the Status Line
The indicator displays 6 critical parameters continuously in the indicator's Status Line: Estimated Entry, Quantity, Estimated Stop Loss, Estimated Take Profit 1/2/3.
5. Detailed Indicator Inputs
5.1 General
Focused Trend: Defines the analysis direction (Uptrend / Downtrend).
Max Capital per Trade: The maximum amount allocated to purchasing stocks/contracts (in account currency).
Risk per Trade: The maximum amount the user is willing to risk in this single trade (in account currency).
ATR Length: The lookback period for the Average True Range (ATR) calculation.
5.2 Intraday Session Data Control
Regular Hours Limitation : If enabled, all daily lookback calculations (for Entry/Stop Loss anchor points) will begin strictly from the first Regular Trading Hours (RTH) bar. This limits the lookback range to the current RTH session, excluding preceding Extended Trading Hours (ETH) data. Only relevant for Intraday charts. Default: False (Off)
5.3 Entry Inputs
Entry Method: Selects the entry price calculation method:
Current Price: Uses the closing price of the current bar as the estimated entry point (Market Entry).
ATR Real Bodies Margin :
- Uptrend: Calculates the Maximum Real Body over the lookback period + the calculated safety margin.
- Downtrend: Calculates the Minimum Real Body over the lookback period - the calculated safety margin.
ATR Bars Margin :
- Uptrend: Calculates the Maximum High price over the lookback period + the calculated safety margin.
- Downtrend: Calculates the Minimum Low price over the lookback period - the calculated safety margin.
Lookback Bars: The number of bars used to calculate the extremes in the ATR-based entry methods (Relevant only for ATR Real Bodies Margin and ATR Bars Margin methods).
ATR Multiplier (Entry): The multiplier applied to the ATR value. The result of the multiplication is the calculated safety margin used to determine the estimated Entry Price.
5.4 Risk Inputs (Stop Loss)
Risk Method: Selects the Stop Loss price calculation method.
ATR Current Price Margin :
- Uptrend: Entry Price - the calculated safety margin.
- Downtrend: Entry Price + the calculated safety margin.
ATR Current Bar Margin :
- Uptrend: Current Bar's Low price - the calculated safety margin.
- Downtrend: Current Bar's High price + the calculated safety margin.
ATR Bars Margin :
- Uptrend: Lowest Low over lookback period - the calculated safety margin.
- Downtrend: Highest High over lookback period + the calculated safety margin.
ATR Pivot Margin :
- Uptrend: The first confirmed Pivot Low point - the calculated safety margin.
- Downtrend: The first confirmed Pivot High point + the calculated safety margin.
Lookback Bars: The lookback period for finding the extreme price used in the 'ATR Bars Margin' calculation.
ATR Multiplier (Risk): The multiplier applied to the ATR value. The result of the multiplication is the calculated safety margin used to place the estimated Stop Loss. Note: If set to 0, the Stop Loss will be placed exactly at the technical anchor point, provided the Minimum Margin Value is also 0.
Minimum Margin Value: The minimum price value (e.g., $0.01) the Stop Loss margin buffer must be.
Pivot (Left / Right): The number of bars required on either side of the pivot bar for confirmation (relevant only for the ATR Pivot Margin method).
5.5 Reward Inputs (Take Profit)
Show Take Profit 1/2/3: ON/OFF switch to control the visibility of each Take Profit target.
Reward/Risk Ratio 1/ 2/ 3: Defines the R/R ratio for the profit target. Must be ≥1.0.
6. Indicator Status/Warning Messages
In situations where the Stop Loss location cannot be calculated logically and validly, often caused by a mismatch between the configured Focused Trend (Uptrend/Downtrend) and the actual price action, the indicator will display a warning message, explaining the reason and suggesting corrective action.
Status Message 1: Pivot reference unavailable
Condition: The Stop Loss is set to the "ATR Pivot Margin" method, but the anchor point (Pivot) is missing or inaccessible.
Message Displayed: "Pivot reference unavailable. Wait for valid price action, or adjust the Regular Hours Limitation setting or Pivot Left/Right inputs."
Status Message 2: Calculated Stop Loss is unsafe
Condition: The calculated Stop Loss is placed illogically or unsafely relative to the trend direction and the Entry price.
Message Displayed: "Calculated Stop Loss is unsafe for current trend. Wait for valid price action or adjust SL Lookback/Multiplier."
7. Summary
The Adaptive Risk Management (ARM) indicator provides a seamless and systematic approach to trade execution and risk control. By dynamically automating all critical trade parameters—from Entry Price and Stop Loss placement to Position Sizing and Take Profit targets—ARM removes emotional bias and ensures every trade adheres strictly to your predefined risk profile.
Key Benefits:
Systematic Risk Control: Strict enforcement of maximum capital allocation and risk per trade limits.
Adaptivity: Dynamic calculation of prices and quantities based on real-time market data (ATR and Lookback).
Clarity and Trust: Clear on-chart visualization, precise data metrics (16 series), and unambiguous Status/Warning Messages ensure transparency and reliability.
ARM allows traders to focus on strategy and analysis, confident that their execution complies with the core principles of professional risk management.
Important Note: Trading Risk
This indicator is intended for educational and informational purposes only and does not constitute investment advice or a recommendation for trading in any form whatsoever.
Trading in financial markets involves significant risk of capital loss. It is important to remember that past performance is not indicative of future results. All trading decisions are your sole responsibility. Never trade with money you cannot afford to lose.
FAIR VALUE CEDEARSFair Value CEDEARS y ETFs
Important: load together with the CEDEARdata library.
Returns the “Fair Value” of CEDEAR and CEDEAR-based ETF prices traded on ByMA, using as a reference the price of the underlying ordinary share or ETF traded on the NYSE or NASDAQ. It multiplies the NYSE/NASDAQ price by the CEDEAR or ETF conversion ratio and converts the currency to ARS or Dólar MEP using the exchange rate implied by the AL30/AL30C ratio for tickers quoted in ARS (e.g., AAPL) and AL30D/AL30C for tickers quoted in Dólar MEP (e.g., AAPLD).
If the CEDEAR or ETF quote is higher than Fair Value, it highlights the difference in red; if it is lower, it highlights it in green. If any of the markets is closed or in an auction period, it notifies the user and changes the background color.
By default, the CEDEAR or ETF quote used is the last price, but the user may choose to use the BID or OFFER instead. This allows CEDEAR and ETF buyers to compare Fair Value against the OFFER, while sellers may prefer to measure Fair Value against the BID of the local instrument.
BCBA:AAPL
BCBA:AAPLD
NASDAQ:AAPL
BCBA:SPY
BCBA:TSLA
BCBA:TSLAD
CEDEARS
ETFs
ByMA
Absorption RatioThe Hidden Connections Between Markets
Financial markets are not isolated islands. When panic spreads, seemingly unrelated assets suddenly begin moving in lockstep. Stocks, bonds, commodities, and currencies that normally provide diversification benefits start falling together. This phenomenon, where correlations spike during crises, has devastated portfolios throughout history. The Absorption Ratio provides a quantitative measure of this hidden fragility.
The concept emerged from research at State Street Associates, where Mark Kritzman, Yuanzhen Li, Sebastien Page, and Roberto Rigobon developed a novel application of principal component analysis to measure systemic risk. Their 2011 paper in the Journal of Portfolio Management demonstrated that when markets become tightly coupled, the variance explained by the first few principal components increases dramatically. This concentration of variance signals elevated systemic risk.
What the Absorption Ratio Measures
Principal component analysis, or PCA, is a statistical technique that identifies the underlying factors driving a set of variables. When applied to asset returns, the first principal component typically captures broad market movements. The second might capture sector rotations or risk-on/risk-off dynamics. Additional components capture increasingly idiosyncratic patterns.
The Absorption Ratio measures the fraction of total variance absorbed or explained by a fixed number of principal components. In the original research, Kritzman and colleagues used the first fifth of the eigenvectors. When this fraction is high, it means a small number of factors are driving most of the market movements. Assets are moving together, and diversification provides less protection than usual.
Consider an analogy: imagine a room full of people having independent conversations. Each person speaks at different times about different topics. The total "variance" of sound in the room comes from many independent sources. Now imagine a fire alarm goes off. Suddenly everyone is talking about the same thing, moving in the same direction. The variance is now dominated by a single factor. The Absorption Ratio captures this transition from diverse, independent behavior to unified, correlated movement.
The Implementation Approach
TradingView does not support matrix algebra required for true principal component analysis. This implementation uses a closely related proxy: the average absolute correlation across a universe of major asset classes. This approach captures the same underlying phenomenon because when assets are highly correlated, the first principal component explains more variance by mathematical necessity.
The asset universe includes eight ETFs representing major investable categories: SPY and QQQ for large cap US equities, IWM for small caps, EFA for developed international markets, EEM for emerging markets, TLT for long-term treasuries, GLD for gold, and USO for oil. This selection provides exposure to equities across geographies and market caps, plus traditional diversifying assets.
From eight assets, there are twenty-eight unique pairwise correlations. The indicator calculates each using a rolling window, takes the absolute value to measure coupling strength regardless of direction, and averages across all pairs. This average correlation is then transformed to match the typical range of published Absorption Ratio values.
The transformation maps zero average correlation to an AR of 0.50 and perfect correlation to an AR of 1.00. This scaling aligns with empirical observations that the AR typically fluctuates between 0.60 and 0.95 in practice.
Interpreting the Regimes
The indicator classifies systemic risk into four regimes based on AR levels.
The Extreme regime occurs when the AR exceeds 0.90. At this level, nearly all asset classes are moving together. Diversification has largely failed. Historically, this regime has coincided with major market dislocations: the 2008 financial crisis, the 2020 COVID crash, and significant correction periods. Portfolios constructed under normal correlation assumptions will experience larger drawdowns than expected.
The High regime, between 0.80 and 0.90, indicates elevated systemic risk. Correlations across asset classes are above normal. This often occurs during the build-up to stress events or during volatile periods where fear is spreading but has not reached panic levels. Risk management should be more conservative.
The Normal regime covers AR values between 0.60 and 0.80. This represents typical market conditions where some correlation exists between assets but diversification still provides meaningful benefits. Standard portfolio construction assumptions are reasonable.
The Low regime, below 0.60, indicates that assets are behaving relatively independently. Diversification is working well. Idiosyncratic factors dominate returns rather than systematic risk. This environment is favorable for active management and security selection strategies.
The Relationship to Portfolio Construction
The implications for portfolio management are significant. Modern portfolio theory assumes correlations are stable and uses historical estimates to construct efficient portfolios. The Absorption Ratio reveals that this assumption is violated precisely when it matters most.
When AR is elevated, the effective number of independent bets in a diversified portfolio shrinks. A portfolio holding stocks, bonds, commodities, and real estate might behave as if it holds only one or two positions during high AR periods. Position sizing based on normal correlation estimates will underestimate portfolio risk.
Conversely, when AR is low, true diversification opportunities expand. The same nominal portfolio provides more independent return streams. Risk can be deployed more aggressively while maintaining the same effective exposure.
Component Analysis
The indicator separately tracks equity correlations and cross-asset correlations. These components tell different stories about market structure.
Equity correlations measure coupling within the stock market. High equity correlation indicates broad risk-on or risk-off behavior where all stocks move together. This is common during both rallies and selloffs driven by macroeconomic factors. Stock pickers face headwinds when equity correlations are elevated because individual company fundamentals matter less than market beta.
Cross-asset correlations measure coupling between different asset classes. When stocks, bonds, and commodities start moving together, traditional hedges fail. The classic 60/40 stock/bond portfolio, for example, assumes negative or low correlation between equities and treasuries. When cross-asset correlation spikes, this assumption breaks down.
During the 2022 market environment, for instance, both stocks and bonds fell significantly as inflation and rate hikes affected all assets simultaneously. High cross-asset correlation warned that the usual defensive allocations would not provide their expected protection.
Mean Reversion Characteristics
Like most risk metrics, the Absorption Ratio tends to mean-revert over time. Extremely high AR readings eventually normalize as panic subsides and assets return to more independent behavior. Extremely low readings tend to rise as some level of systematic risk always reasserts itself.
The indicator tracks AR in statistical terms by calculating its Z-score relative to the trailing distribution. When AR reaches extreme Z-scores, the probability of normalization increases. This creates potential opportunities for strategies that bet on mean reversion in systemic risk.
A buy signal triggers when AR recovers from extremely elevated levels, suggesting the worst of the correlation spike may be over. A sell signal triggers when AR rises from unusually low levels, warning that complacency about diversification benefits may be excessive.
Momentum and Trend
The rate of change in AR carries information beyond the absolute level. Rapidly rising AR suggests correlations are increasing and systemic risk is building. Even if AR has not yet reached the high regime, acceleration in coupling should prompt increased vigilance.
Falling AR momentum indicates normalizing conditions. Correlations are decreasing and assets are returning to more independent behavior. This often occurs in the recovery phase following stress events.
Practical Application
For asset allocators, the AR provides guidance on how much diversification benefit to expect from a given allocation. During high AR periods, reducing overall portfolio risk makes sense because the usual diversifiers provide less protection. During low AR periods, standard or even aggressive allocations are more appropriate.
For risk managers, the AR serves as an early warning indicator. Rising AR often precedes large market moves and volatility spikes. Tightening risk limits before correlations reach extreme levels can protect capital.
For systematic traders, the AR provides a regime filter. Mean reversion strategies may work better during high AR periods when panics create overshooting. Momentum strategies may work better during low AR periods when trends can develop independently across assets.
Limitations and Considerations
The proxy methodology introduces some approximation error relative to true PCA-based AR calculations. The asset universe, while representative, does not include all possible diversifiers. Correlation estimates are inherently backward-looking and can change rapidly.
The transformation from average correlation to AR scale is calibrated to match typical published ranges but is not mathematically equivalent to the eigenvalue ratio. Users should interpret levels directionally rather than as precise measurements.
Correlation regimes can persist longer than expected. Mean reversion signals indicate elevated probability of normalization but do not guarantee timing. High AR can remain elevated throughout extended crisis periods.
References
Kritzman, M., Li, Y., Page, S., and Rigobon, R. (2011). Principal Components as a Measure of Systemic Risk. Journal of Portfolio Management, 37(4), 112-126.
Kritzman, M., and Li, Y. (2010). Skulls, Financial Turbulence, and Risk Management. Financial Analysts Journal, 66(5), 30-41.
Billio, M., Getmansky, M., Lo, A., and Pelizzon, L. (2012). Econometric Measures of Connectedness and Systemic Risk in the Finance and Insurance Sectors. Journal of Financial Economics, 104(3), 535-559.
RiskCraft - Advanced Risk Management SystemRiskCraft – Risk Intelligence Dashboard
Trade like you actually respect risk
"I know the setup looks good… but how much am I actually risking right now?"
RiskCraft is an open-source Pine Script v6 indicator that keeps risk transparent directly on the chart. It is not a signal generator; it is a risk desk that calculates size, frames volatility, and reminds you when your behaviour drifts away from the plan.
Core utilities
Calculates professional-style position sizing in real time.
Reads volatility and market regime before position size is confirmed.
Adjusts risk based on the trader’s emotional state and confidence inputs.
Maps session risk across Asian, London, and New York hours.
Draws exactly one stop line and one target line in the preferred direction.
Provides rotating education tips plus contextual warnings when risk escalates.
It is intentionally conservative and keeps you in the game long enough for any separate entry logic to matter.
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Chart layout checklist
Use a clean chart on a liquid symbol (e.g., AMEX:SPY or major FX pairs).
Main RiskCraft dashboard placed on the right edge.
Session Risk box on the left with UTC time visible.
Floating risk badge above price.
Stop/target guide lines enabled.
Education panel visible in the bottom-right corner.
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1. On-chart components
Right-side dashboard : account risk %, position size/value, stop, target, risk/reward, regime, trend strength, emotional state, behavioural score, correlation, and preferred trade direction.
Session Risk box : highlights active session (Asian, London, NY), current UTC time, and risk label (High/Med/Low) per session.
Floating risk badge : keeps actual account risk percent visible with colour-coded wording from Ultra Cautious to Very Aggressive.
Stop/target lines : exactly one dashed stop and one dashed target aligned with the preferred bias.
Education panel : rotates core principles and AI-style warnings tied to volatility, risk %, and behaviour flags.
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2. Volatility engine – ATR with context 📈
atr = ta.atr(atrLength)
atrPercent = (atr / close) * 100
atrSMA = ta.sma(atr, atrLength)
volatilityRatio = atr / atrSMA
isHighVol = volatilityRatio > volThreshold
ATR vs ATR SMA shows how wild price is relative to recent history.
Volatility ratio above the threshold flips isHighVol , which immediately trims risk.
An ATR percentile rank over the last 100 bars indicates calm versus chaotic regimes.
Daily ATR sampling via request.security() gives higher time-frame context for intraday sessions.
When volatility spikes the script dials position size down automatically instead of cheering for maximum exposure.
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3. Market regime radar – Danger or Drift 🌊
ema20 = ta.ema(close, 20)
ema50 = ta.ema(close, 50)
ema200 = ta.ema(close, 200)
trendScore = (close > ema20 ? 1 : -1) +
(ema20 > ema50 ? 1 : -1) +
(ema50 > ema200 ? 1 : -1)
= ta.dmi(14, 14)
Regimes covered:
Danger : high volatility with weak trend.
Volatile : volatility elevated but structure still directional.
Choppy : low ADX and noisy action.
Trending : directional flows without extreme volatility.
Mixed : anything between.
Each regime maps to a 1–10 risk score and a multiplier that feeds the final position size. Danger and Choppy clamp size; Trending restores normal risk.
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4. Behaviour engine – trader inputs matter 🧠
You provide:
Emotional state : Confident, Neutral, FOMO, Revenge, Fearful.
Confidence : slider from 1 to 10.
Toggle for behavioural adjustment on/off.
Behind the scenes:
Each state triggers an emotional multiplier .
Confidence produces a confidence multiplier .
Combined they form behavioralFactor and a 0–100 Behavioural Score .
High-risk emotions or low conviction clamp the final risk. Calm inputs allow normal size. The dashboard prints both fields to keep accountability on-screen.
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5. Correlation guardrail – avoid stacking identical risk 📊
Optional correlation mode compares the active symbol to a reference (default AMEX:SPY ):
corrClose = request.security(correlationSymbol, timeframe.period, close)
priceReturn = ta.change(close) / close
corrReturn = ta.change(corrClose) / corrClose
correlation = calcCorrelation()
Absolute correlation above the threshold applies a correlation multiplier (< 1) to reduce size.
Dashboard row shows the live correlation and reference ticker.
When disabled, the row simply echoes the current symbol, keeping the table readable.
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6. Position sizing engine – heart of the script 💰
baseRiskAmount = accountSize * (baseRiskPercent / 100)
adjustedRisk = baseRiskAmount * behavioralFactor *
regimeAdjustment * volAdjustment *
correlationAdjustment
finalRiskAmount = math.min(adjustedRisk,
accountSize * (maxRiskCap / 100))
stopDistance = atr * atrStopMultiplier
takeProfit = atr * atrTargetMultiplier
positionSize = stopDistance > 0 ? finalRiskAmount / stopDistance : 0
positionValue = positionSize * close
Outputs shown on the dashboard:
Position size in units and value in currency.
Actual risk % back on account after adjustments.
Risk/Reward derived from ATR-based stop and target.
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7. Intelligent trade direction – bias without signals 🎯
Direction score ingredients:
EMA stack alignment.
Price versus EMA20.
RSI momentum relative to 50.
MACD line vs signal.
Directional Movement (DI+/DI–).
The resulting Trade Direction row prints LONG, SHORT, or NEUTRAL. No orders are generated—this is guidance so you only risk capital when the structure supports it.
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8. Stop/target guide lines – two lines only ✂️
if showStopLines
if preferLong
// long stop below, target above
else if preferShort
// short stop above, target below
Lines refresh each bar to keep clutter low.
When the direction score is neutral, no lines appear.
Use them as visual anchors, not auto-orders.
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9. Session Risk map – global volatility clock 🌍
Tracks Asian, London, and New York windows via UTC.
Computes average ATR per session versus global ATR SMA.
Labels each session High/Med/Low and colours the cells accordingly.
Top row shows the active session plus current UTC time so you always know the regime you are trading.
One glance tells you whether you are trading quiet drift or the part of the day that hunts stops.
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10. Floating risk badge – honesty above price 🪪
Text ranges from Ultra Cautious through Very Aggressive.
Colour matches the risk palette inputs (High/Med/Low).
Updates on the last bar only, keeping historical clutter off the chart.
Account risk becomes impossible to ignore while you stare at price.
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11. Education engine & warnings 📚
Rotates evergreen principles (risk 1–2%, journal trades, respect plan).
Triggers contextual warnings when volatility and risk % conflict.
Flags when emotional state = FOMO or Revenge.
Highlights sub-standard risk/reward setups.
When multiple danger flags stack, an AI-style warning overrides the tip text so you can course-correct before capital is exposed.
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12. Alerts – hard guard rails 🚨
Excessive Risk Alert : actual risk % crosses custom threshold.
High Volatility Alert : ATR behaviour signals danger regime.
Emotional State Warning : FOMO or Revenge selected.
Poor Risk/Reward Alert : risk/reward drops below your standard.
All alerts reinforce discipline; none suggest entries or exits.
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13. Multi-market behaviour 🕒
Intraday (1m–1h): session box and badge react quickly; ideal for scalpers needing constant risk context.
Higher time frames (1D–1W): dashboard shifts slowly, supporting swing planning.
Asset classes confirmed in validation: crypto majors, large-cap equities, indices, major FX pairs, and liquid commodities.
Risk logic is price-based, so it adapts across markets without bespoke tuning.
15. Key inputs & recommended defaults
Account Size : 10,000 (modify to match actual account; min 100).
Base Risk % : 1.0 with a Maximum Risk Cap of 2.5%.
ATR Period : 14, Stop Multiplier 2.0, Target Multiplier 3.0.
High Vol Threshold : 1.5 for ATR ratio.
Behavioural Adjustment : enabled by default; disable for fixed risk.
Correlation Check : optional; default symbol AMEX:SPY , threshold 0.7.
Display toggles : main dashboard, risk badge, session map, education panel, and stop lines can be individually disabled to reduce clutter.
16. Usage notes & limits
Indicator mode only; no automated entries or exits.
Trade history panel intentionally disabled (requires strategy context).
Correlation analysis depends on additional data requests and may lag slightly on illiquid symbols.
Session timing uses UTC; adjust expectations if you trade localized instruments.
HTF ATR sampling uses daily data, so bar replay on lower charts may show brief data gaps while HTF loads.
What does everyone think RISK really means?
SmartDCA by TradeAkademiSmartDCA is an advanced position-management strategy built to deliver consistent results even as market conditions shift. Its price-action–driven structure, intelligent DCA scaling model, and multiple entry options provide a powerful automation framework suitable for both beginners and professional traders. With flexible TP/DCA configurations and safety modules such as Smart Take Profit, Risk Reset Exit, and Fail Safe Stop, positions scale more efficiently, risks are managed proactively, and capital remains protected at every stage. SmartDCA is a fully customizable, modern trading engine that offers high adaptability across different assets and timeframes.
The strategy supports five entry methodologies:
ta_default – Opens positions on breakout confirmations based on the selected period’s local highs and lows.
ta_volatility – Uses the same breakout logic while filtering entries that would place the target level outside the system’s defined safety zone.
ta_safety – Extends the volatility model with an additional candle-quality filter, avoiding structurally weak entries and behaving more conservatively.
rsi_based – Generates entries when RSI drops below 30 or rises above 70.
ema_based – Opens positions based on directional shifts in the moving average.
SmartDCA is fully configurable: entry logic, DCA percentage and multiplier, take-profit (TP) settings, maximum DCA steps, order-size mode, and directional preferences can all be tailored to fit any asset, market condition, or timeframe .
Default parameters are optimized for the 30-minute chart.
The strategy also includes three optional protective mechanisms:
Smart Take Profit – Closes profitable trades early when price approaches the target within a configurable proximity, reducing exposure to potential reversal signals.
Risk Reset Exit – After a defined DCA step, the position is closed at breakeven once price returns to the average entry level.
Fail Safe Stop – If the maximum DCA step is reached and recovery fails to occur, the trade is closed at a controlled loss.
All protection modules can be enabled individually and configured to activate only after specific DCA levels, allowing SmartDCA to remain adaptive yet controlled under varying market dynamics.
Universal_Position Size Calculator_by PaulinusFTMO Position Size Calculator - Professional Risk Management Tool
The ultimate position sizing calculator designed specifically for FTMO traders and professional risk managers.
🎯 What Does This Indicator Do?
This powerful calculator automatically determines the exact lot size you should trade based on your account size, risk tolerance, and stop loss distance. No more manual calculations or guesswork - just enter your trade parameters and get instant, accurate position sizing.
✨ Key Features
📈 Two Calculation Methods:
Entry/Stop Price Method: Enter your exact entry and stop loss prices - perfect for planned trades
Stop Loss Pips Method: Simply enter your stop loss distance in pips - ideal for quick calculations
💰 Complete Risk Management:
Calculates precise position size in lots
Shows actual dollar risk amount
Displays potential profit based on your risk:reward ratio
Automatic risk percentage calculation
Real-time updates as you adjust parameters
🌍 Multi-Asset Support:
Cryptocurrencies: BTC, ETH, XRP, LTC, BCH, BNB, ADA
Forex Pairs: All major and cross pairs (EUR/USD, GBP/USD, USD/JPY, etc.)
Commodities: Gold (XAU/USD), Oil (USOIL)
Indices: US30, US100, SPX500
🎨 Professional Interface:
Clean, easy-to-read table display
Customizable position (9 locations on chart)
Adjustable text size (Tiny, Small, Normal, Large)
Toggle detailed breakdown on/off for simplified view
Visual entry, stop loss, and take profit lines on chart
🔧 FTMO-Optimized:
Pre-configured with accurate FTMO contract specifications
Built-in contract sizes for all supported instruments
Minimum lot size requirements automatically applied
Perfect for FTMO Challenge and Verification phases
📋 How To Use
Method 1: Entry/Stop Price
Select your trading pair
Enter your account balance
Set your risk percentage (typically 1-2% for FTMO)
Choose your risk:reward ratio (e.g., 1:2, 1:3)
Enter your planned entry price
Enter your stop loss price
Get instant position size in lots!
Method 2: Stop Loss Pips
Select your trading pair
Enter your account balance
Set your risk percentage
Choose your risk:reward ratio
Enter your stop loss distance in pips
Get instant position size in lots!
📊 What You'll See
Essential Information (Always Visible):
Trading Pair
Account Balance
Risk Percentage
Risk Amount in Dollars
Target Profit Ratio
POSITION SIZE IN LOTS ⬅️ Your main result
Detailed Breakdown (Optional):
Entry Price / Stop Loss / Take Profit
Stop Loss Distance in pips
Contract Size
Actual Risk Amount
Potential Profit in Dollars
🎓 Perfect For:
✅ FTMO Challenge traders
✅ Prop firm traders
✅ Professional risk managers
✅ Swing and day traders
✅ Anyone who wants consistent position sizing
✅ Traders working on passing funded accounts
💡 Why Use This Calculator?
Eliminate Calculation Errors: No more spreadsheets or manual math - get accurate results instantly.
Stay Consistent: Maintain proper risk management on every single trade.
Save Time: Calculate position sizes in seconds, not minutes.
Protect Your Capital: Never risk more than your intended percentage.
Maximize Efficiency: Focus on trading, not calculating.
⚠️ Important Notes
This calculator uses standard FTMO contract specifications
Always verify lot sizes with your broker before placing trades
Recommended risk per trade: 1-2% for FTMO accounts
The calculator rounds to minimum lot sizes automatically
Visual lines only appear when using Entry/Stop Price method
🔒 Professional Tool
This is a protected indicator with clean, optimized code designed for serious traders who value accuracy and efficiency.
📝 Settings Guide
Table Position: Choose where the calculator appears on your chart
Table Text Size: Adjust for your screen and preference
Calculation Method: Switch between price-based or pip-based calculations
Account Balance: Your total account size
Risk Per Trade: Percentage you're willing to risk (0.1% - 5%)
TP Risk:Reward Ratio: Your target profit ratio (e.g., 2 = 1:2 RR)
Show Detailed Breakdown: Toggle extra information on/off
🚀 Start Trading With Confidence
Stop guessing your position sizes. Start using professional risk management today.
⭐ If this indicator helps your trading, please leave a review and share it with fellow traders!
By Paulinus © 2025
SOFR - IORB Spread (pct pts & bps)Tracks short-term funding conditions by measuring the spread between the Secured Overnight Financing Rate (SOFR) and the Fed’s Interest on Reserve Balances (IORB). When SOFR persistently trades above IORB, it signals cash scarcity and stress in overnight funding markets. This indicator is best used as a risk-regime and plumbing health check, not as a directional trading signal. Calm readings allow trends to persist; sustained spikes often precede periods of volatility and forced deleveraging.
Universal Lot Size Calculator (Forex, Index, Metals)Multi-functional lot size calculator with support for various instruments
🎯 MAIN FEATURES:
Universal — works with Forex, indices, metals, and custom instruments
Auto-detect — automatically detects instrument type by ticker
Precise position sizing - considering risk and currency conversions
Currency conversion — automatic conversion between deposit currencies
Advanced visualization — entry, stop-loss, take-profit lines
Smart table — convenient display of all parameters
⚙️ SETTINGS GROUPS:
📈 Instrument Settings
Instrument Type — selection: Auto, Forex, Index, Metals, Custom
Custom Contract Size — manual contract size configuration
Use Manual Exchange Rate — manual rate for currency conversion
💰 Account & Risk Settings
Deposit Currency — account currency (USD, EUR, GBP, CHF, JPY)
Account Size — deposit amount
Risk in % — risk percentage from deposit
🎯 Price Levels
Entry Price — entry price
Stop Price — stop-loss price
Target Price — take-profit price
Color settings for each line
📊 Risk/Reward Settings
Manual Target Price — manual TP setting
Show R Levels — display profit levels in R multiples
Show only last R level — show only the last R level
Number of R Levels — number of R levels (1-10)
🎨 Line Styles & Table Appearance
Line style settings (solid, dashed, dotted)
Line width
Table position and size
Color schemes
📈Supported instrument types:
Forex — standard lot 100,000
Indices — E-mini futures (US100=20, SP500=50, US30=5, DAX=25)
Metals — Gold=100 oz, Silver=5000 oz
Custom — user-defined contract size
📱 KEY FEATURES:
- Auto instrument detection:
Indices: US100, SP500, US30, DAX
Metals: XAUUSD (Gold), XAGUSD (Silver)
Forex: all currency pairs
- Smart table with key parameters:
Instrument type and contract size
Account size and risk
Entry/exit prices
Calculated lot size
- Visual elements:
Dynamic level lines
Labels with profit/loss calculations
R-levels for target prices
- Currency conversion:
Automatic rate fetching
Support for USD, EUR, GBP, CHF, JPY
Manual rate setting when needed
⚠️ IMPORTANT NOTES:
Contract sizes may vary between brokers
For CFD brokers use Custom type with Contract Size = 1
During weekends currency rates may be unavailable — use manual rate
When trading in different currencies verify conversion accuracy
🚀 HOW TO USE:
Select instrument type (Auto for auto-detection)
Set deposit size and account currency
Define risk percentage (1-100%)
Specify prices for entry, stop-loss, and take-profit
Use calculated lot to open positions
⚠️ RESETTING CALCULATIONS:
To reuse the calculator with new price levels, you need to:
Right-click on the indicator's table/chart
Select "Reset Points" from the context menu
OR manually update all three price levels (Entry, Stop Loss, Take Profit) in the settings
MPT Efficient FrontierAMEX:VT
Efficient Frontier: The Tool for Creating a "Superb" Portfolio
The Efficient Frontier is a vital concept in the world of investment that helps investors build a Portfolio—a collection of investment assets—that provides the best possible return for a given level of acceptable risk. This concept stems from the Modern Portfolio Theory (MPT), developed by Nobel laureate in Economics, Harry Markowitz.
What is the Efficient Frontier?
Imagine all the possible investment combinations you can put together. Each portfolio combination has a different level of risk (measured by volatility or Standard Deviation) and a different expected return.
When you plot all these possible portfolios on a graph, with the horizontal axis representing Risk and the vertical axis representing Return, you get a cloud of points (portfolios).
The Efficient Frontier is the curve that sits on the upper-most and left-most boundary of this cloud of points.
"Upper-most" means that the portfolios on this line provide the maximum return for that specific level of risk.
"Left-most" means that the portfolios on this line have the lowest risk for a given return.
Simply put, a portfolio lying on the Efficient Frontier is considered "Efficient" because no other portfolio exists that can offer a higher return at the s ame level of risk, or lower risk at the same level of return.
How to Use the Efficient Frontier
Investors use the Efficient Frontier to help them decide on the optimal portfolio for their needs. The key steps are:
1. Data Collection and Generating Possible Portfolios
Collect Data: Use historical data (or future projections) for the assets you are interested in (e.g., stocks, bonds, funds) to calculate their Expected Return, Risk (Standard Deviation), and, most importantly, the Correlation between the different assets.
Simulate Portfolios: Use computers or mathematical programs to simulate thousands or tens of thousands of different asset mix proportions to find all possible portfolio points.
2. Finding the "Minimum Variance Portfolio" (MVP)
The Minimum Variance Portfolio (MVP) is the point on the frontier with the absolute lowest risk (the far-left point on the curve). Investors with a very low risk tolerance might focus on this portfolio.
3. Finding the "Optimal Portfolio" for You
Once the Efficient Frontier is established, investors must select the point on the line that aligns with their personal Risk Tolerance.
Risk-Averse Investors: Will choose points on the left side of the curve (low risk and moderate return).
Risk-Tolerant Investors: Will choose points on the right side of the curve (high risk and high return).
Visualization Elements:
🔴 Red/Orange/Yellow/Green Dots => Each dot represents 1 portfolio combination. Plotted according to Risk (X-axis) and Return (Y-axis).
Color Coding by Sharpe Ratio => 🟢 Green: Sharpe > 2
🟡 Yellow: Sharpe 1-2
🟠 Orange: Sharpe 0-1
🔴 Red: Sharpe < 0
⬤ Large Yellow DotRepresents the MAX SHARPE RATIO—the Optimal Portfolio! Lying on the Efficient Frontier curve. Labeled with " Efficient Frontier".
❶❷❸❹ Colored Circles => Represents the Individual Assets (e.g., Blue, Red, Green, Purple).
■ Blue Square => Represents the Current Portfolio location.
Four Data Tables
1. Optimal Weights Table => Compares Current vs. Optimal weights for each asset. Weights Comparison: Green = Should increase weight. Red = Should decrease weight.
Max Sharpe (Current and Optimal).
2.Performance Comparison => Return, Risk, Sharpe for Current vs. Optimal portfolios.Improvement Metrics: Return (percent increase), Risk (percent decrease), Sharpe (percent improvement).Recommendation: 🚀 REBALANCE! (Score > 20); Consider (5-20); Maintain (< 5).
3.Correlation Matrix => Displays the Correlation between all assets. Helps assess Diversification.
4.Asset Statistics => Provides detailed statistics for Each Individual Asset.
