TradeQUO Herrick Payoff RSIHerrick Payoff Index RSI (HPI-RSI) with Signal Line
An advanced oscillator that measures market strength not just by price, but by "smart money flow."
This indicator is not a typical RSI. Instead of applying the Relative Strength Index to price alone, it calculates it on the cumulative Herrick Payoff Index (HPI) . This creates a unique oscillator that reflects the underlying sentiment and capital flow in the market.
What is the Herrick Payoff Index (HPI)?
The HPI is a classic sentiment indicator that combines three crucial elements to determine if money is flowing into or out of an asset:
Price Change: The direction and momentum of the market.
Trading Volume: The conviction behind the price movement.
Open Interest (OI): The total number of open contracts (mainly in futures), which indicates if new capital is entering the market.
By combining these factors, the HPI provides a more comprehensive picture of market strength than indicators based solely on price.
How This Indicator Works
The script follows a logical, multi-step process:
It calculates the raw Herrick Payoff Index for each bar.
It creates a cumulative sum of this index to generate a continuous money flow value.
This cumulative value is smoothed with a short-period EMA to reduce noise.
The RSI is then applied to this smoothed HPI value.
An additional, configurable signal line (moving average) is added to facilitate trading signals.
Interpretation and Application
You can use this indicator much like a standard RSI, but with the added context of money flow:
Overbought/Oversold: Values above 70 suggest an overbought condition, while values below 30 signal an oversold condition.
Signal Line Crossovers: A cross of the HPI-RSI line above the signal line can be seen as a bullish signal. A cross below can be seen as a bearish signal.
Divergences: Look for divergences between the indicator and the price. A bullish divergence (price makes a lower low, indicator makes a higher low) can indicate an upcoming move to the upside. A bearish divergence (price makes a higher high, indicator makes a lower high) can signal a potential move to the downside.
Settings
The indicator has been deliberately kept simple:
HPI Smoothing Length: Smoothing length (1-5) for the cumulative HPI.
RSI Length: The lookback period for the RSI calculation.
Signal Line Settings: Here you can enable/disable the signal line and customize its type and length.
Display Settings: Adjust the colors of the RSI and signal lines to your preference.
This indicator is a tool for analysis and should always be used in combination with other methods and a solid risk management strategy. Happy trading!
Sentiment
StochFusion – Multi D-LineStochFusion – Multi D-Line
An advanced fusion of four Stochastic %D lines into one powerful oscillator.
What it does:
Combines four user-weighted Stochastic %D lines—from fastest (9,3) to slowest (60,10)—into a single “Fusion” line that captures both short-term and long-term momentum in one view.
How to use:
Adjust the four weights (0–10) to emphasize the speed of each %D component.
Watch the Fusion line crossing key zones:
– Above 80 → overbought condition, potential short entry.
– Below 20 → oversold condition, potential long entry.
– Around 50 → neutral/midline, watch for trend shifts.
Applications:
Entry/exit filter: Only take trades when the Fusion line confirms zone exits.
Trend confirmation: Analyze slope and cross of the midline for momentum strength.
Multi-timeframe alignment: Use on different chart resolutions to find confluence.
Tips & Tricks:
Default weights give more influence to slower %D—good for trend-focused strategies.
Equal weights provide a balanced oscillator that mimics an ensemble average.
Experiment: Increase the fastest weight to capture early reversal signals.
Developed by: TradeQUO — inspired by DayTraderRadio John
“The best momentum indicator is the one you adapt to your own trading rhythm.”
ATR, ADX, RSI TableATR, ADX & RSI Dashboard (Color-Coded)
Overview
This indicator provides a clean, all-in-one dashboard that displays the current values for three of the most popular technical indicators: Average True Range (ATR), Average Directional Index (ADX), and Relative Strength Index (RSI).
To make analysis faster and more intuitive, the values in the table are dynamically color-coded based on key thresholds. This allows you to get an immediate visual summary of market volatility, trend strength, and momentum without cluttering your main chart area.
Features
The indicator displays a simple table in the bottom-right corner of your chart with the following color logic:
ATR (Volatility): Measures the average volatility of an asset.
Green: Low Volatility (ATR is less than 3% of the current price).
Orange: Moderate Volatility (ATR is between 3% and 5%).
Red: High Volatility (ATR is greater than 5%).
ADX (Trend Strength): Measures the strength of the underlying trend, regardless of its direction.
Red: Weak or Non-Trending Market (ADX is below 20).
Orange: Developing or Neutral Trend (ADX is between 20 and 25).
Green: Strong Trend (ADX is above 25).
RSI (Momentum): Measures the speed and change of price movements to identify overbought or oversold conditions.
Green: Potentially Oversold (RSI is below 40).
Orange: Neutral/Normal Conditions (RSI is between 40 and 70).
Red: Potentially Overbought (RSI is above 70).
How to Use
This tool is perfect for traders who want a quick, at-a-glance understanding of the current market state. Instead of analyzing three separate indicators, you can use this dashboard to:
Quickly confirm if a strong trend is present before entering a trade.
Assess volatility to adjust your stop-loss and take-profit levels.
Instantly spot potential overbought or oversold conditions.
Customization
All input lengths for the ATR, ADX, and RSI are fully customizable in the indicator's settings menu, allowing you to tailor the calculations to your specific trading style and timeframe.
Session Status Table📌 Session Status Table
Session Status Table is an indicator that displays the real-time status of the four major trading sessions:
* 🇯🇵 Asia (Tokyo)
* 🇬🇧 London
* 🇺🇸 New York AM
* 🇺🇸 New York PM
It shows which sessions are currently open, how much time remains until they open or close, and optionally sends alerts in advance.
🧩 Features:
* Real-time session table — shows the status of each session on the chart.
* Color-coded statuses:
* 🟢 Green – Session is open
* 🔴 Red – Session is closed
* ⚪ Gray – Weekend
* Countdown timers until session open or close.
* User alerts — receive a notification a custom number of minutes before a session starts.
⚙️ Customization:
* Table position — fully configurable.
* Session colors — customizable for open, closed, and weekend states.
* Session labels — customizable with icons.
* Notifications:
* Enabled through TradingView's Alerts panel.
* User-defined lead time before session opens.
🕒 Time Zones:
All times are calculated in UTC to ensure consistency across different markets and regions, avoiding discrepancies from time zones and daylight saving time.
🚨 How to enable alerts:
1. Open the "Alerts" panel in TradingView.
2. Click "Create Alert".
3. In the condition dropdown, choose "Session Status Table".
4. Set to any alert() trigger.
5. Save — you'll be notified a set number of minutes before each session begins.
ℹ️ Technical Notes:
* Built with Pine Script version 6.
* Logically divided into clear sections: inputs, session calculations, table rendering, and alerts.
* Optimized for performance and reliability on all timeframes.
Ideal for traders who use session activity in their strategies — especially in Forex, crypto, and futures markets.
DCI### 📌 **DCI – Direction Correlation Index**
#### 🔹 **What It Is**
The **Direction Correlation Index (DCI)** is a tool for measuring how closely a group of up to 10 symbols move together in both *trend correlation* and *short-term direction*. It helps identify whether a group of assets is acting in unison or moving independently.
---
#### ⚙️ **How It Works**
DCI outputs three key metrics:
1. **Average Correlation**
* Measures the average of all pairwise correlations between the selected symbols.
* Prices are first standardized using a z-score (based on simple moving average and standard deviation over a user-defined lookback period).
* Correlation is calculated using Pearson’s method for all 45 symbol pairs.
* Result ranges from:
* `+1.00` = strong positive correlation
* `0.00` = no correlation
* `-1.00` = strong inverse correlation
2. **Direction Agreement %**
* Checks whether each symbol is moving up or down compared to its previous bar.
* Calculates the percentage of symbols moving in the same direction.
* For example: if 7 of 10 symbols are moving up and 3 are moving down, the direction agreement is 70%.
3. **Strong Correlation Count**
* Counts how many of the 45 symbol pairs have an absolute correlation above `0.7`.
* Helps highlight how many pairs are currently highly correlated.
---
#### 📈 **How to Use It**
1. **Select Symbols**
* In the **Settings**, you can input up to 10 custom symbols. These can be stocks, indices, forex pairs, crypto, or any tradable asset.
2. **Adjust the Lookback Period**
* Defines how many bars back are used to calculate z-scores and correlations.
* Default is `12`. Use shorter periods for faster response; longer periods for smoother, slower data.
3. **Interpret the Table (Plotted on Chart)**
* **Avg Corr**: Tells you how much the group is co-moving. High correlation often reflects unified market behavior.
* **Dir Agr %**: Shows directional sync. High values mean most instruments are trending the same way in the current bar.
* **> 0.7**: The number of pairs currently strongly correlated (|corr| > 0.7).
---
#### 🧠 **Practical Usage Tips**
* Use DCI to monitor **sector alignment**, **portfolio behavior**, or **market group momentum**.
* Confirm trend strength by checking if high correlation aligns with a strong direction agreement.
* Low correlation + mixed direction can signal **choppy or indecisive markets**.
* High correlation + strong direction = **trend confirmation** across your selected instruments.
- Made with DeepSeek
Google Trends: Bitcoin [Bitcoin CounterFlow]This script displays weekly Google Trends data for the term "Bitcoin". It can help visualize public interest over time and compare it with price action or other indicators. Data is manually updated each week based on Google Trends. Values range from 0 to 100, where 100 represents peak popularity for the selected term.
Use this indicator to observe how shifts in search volume correlate with market movements. It is not a trading signal by itself but can be useful for sentiment analysis.
Script created and published by Bitcoin CounterFlow.
Nova SMC Key TimesThe Nova SMC Key Times is a focused TradingView® indicator tailored for futures traders who want clear visual markers at key session transitions. Designed with simplicity in mind, it automatically plots two dashed vertical lines each trading day to highlight the pre-market and official market-open times (adjusted for Micro E-mini S&P 500 and Micro Gold contracts).
Pre-Market Marker: A semi-transparent white dashed line drawn at the start of pre-market activity, helping you observe early liquidity movements and potential order accumulation.
Market-Open Marker: A fully opaque white dashed line at the exact opening bar of the main session, providing a clear reference for breakout attempts and volatility spikes.
Because LSF detects the appropriate timestamps based on the loaded symbol (MES1! or MGC1!), you never need to manually set session times. If applied to other symbols, it remains silent, ensuring that charts stay uncluttered.
You can easily customize line colors to match your visual preferences under the provided style settings. By visually framing these two critical moments each day, Nova LSF helps traders anticipate stop hunts, breakout retests, and initial momentum moves—making it a useful complement to any liquidity-oriented or order-flow strategy.
HTF Overlay Candles (Aggregated)🕯️ Synthetic Aggregated Candles
Created by: The_Forex_Steward
License: Mozilla Public License 2.0
🔍 Description
This indicator creates visually aggregated candles directly on your chart, allowing you to view synthetic candlesticks that combine multiple bars into one. It enables a higher-level perspective of price action without switching timeframes.
Each synthetic candle is built by combining a user-defined number of consecutive bars (e.g., 4 bars from the current timeframe form one aggregated candle). It accurately tracks open, high, low, and close values, then draws a colored box and wick to represent the aggregated data.
⚙️ Features
Aggregation Factor: Combine candles over a custom number of bars (e.g., 4 = 4x current TF)
Timezone Alignment: Aggregation is aligned with midnight in UTC-5 (modifiable in code)
Custom Colors: Choose colors for bullish and bearish synthetic candles
Body Opacity: Control the opacity of the candle body for visual clarity
Wick Width: Customize the thickness of the candle wick
📌 Use Case
Ideal for traders looking to:
- Reduce noise in lower timeframes
- Visualize price action in broader chunks
- Spot larger structure and swing patterns without switching charts
📈 How It Works
At every bar, the script checks whether a new aggregation interval has begun (aligned to the day start). If so, it finalizes the previous candle and starts a new one. On the last bar of the chart, it ensures the final synthetic candle is drawn.
✅ Tip
For best results, apply this script on intraday timeframes and experiment with different aggregation factors (4, 6, 12, etc.) to discover the most insightful compression for your strategy.
Note: This script is optimized for visual representation only. It does not repaint, but it is not intended for algorithmic strategies or alerts.
15Min Opening Range & Midline (UTC+2) This TradingView script draws the 15-minute Opening Range of the day based on a user-defined start time and plots the high, low, and midline of this range. It works by capturing the high and low of the first 15 minutes of the session, and then extending them for the rest of the trading day. The midline is calculated as the average of the high and low values.
Key Features:
User-configurable start time: Define the hour and minute for when the opening range should start based on your local time zone.
Line customization: Choose the color and line style (solid, dashed, dotted) for the high, low, and midline.
Easy-to-read visual representation: The high and low lines extend across the chart from the range start, with the midline placed in the center.
Dynamic updates: The indicator resets at the start of each new trading day and updates the opening range lines accordingly.
Perfect for:
Traders looking to monitor the initial market range during the first 15 minutes of trading.
Identifying key support and resistance levels based on early price action.
Providing a midline to assess market bias and potential breakouts.
Notes:
The indicator calculates everything based on the local time zone you define and automatically adjusts to your desired start time.
It will not redraw lines; once drawn, they remain on the chart until the next session.
COT-Index-NocTradingCOT Index Indicator
The COT Index Indicator is a powerful tool designed to visualize the Commitment of Traders (COT) data and offer insights into market sentiment. The COT Index is a measurement of the relative positioning of commercial traders versus non-commercial and retail traders in the futures market. It is widely used to identify potential market reversals by observing the extremes in trader positioning.
Customizable Timeframe: The indicator allows you to choose a custom time interval (in months) to visualize the COT data, making it flexible to fit different trading styles and strategies.
How to Use:
Visualize Market Sentiment: A COT Index near extremes (close to 0 or 100) can indicate potential turning points in the market, as it reflects extreme positioning of different market participant groups.
Adjust the Time Interval: The ability to adjust the time interval (in months) gives traders the flexibility to analyze the market over different periods, which can be useful in detecting longer-term trends or short-term shifts in sentiment.
Combine with Other Indicators: To enhance your analysis, combine the COT Index with your technical analysis.
This tool can serve as an invaluable addition to your trading strategy, providing a deeper understanding of the market dynamics and the positioning of major market participants.
Consolidation Range with Signals (Zeiierman)█ Overview
Consolidation Range with Signals (Zeiierman) is a precision tool for identifying and trading market consolidation zones, where price contracts into tight ranges before significant movement. It provides dynamic range detection using either ADX-based trend strength or volatility compression metrics, and offers built-in take profit and stop loss signals based on breakout dynamics.
Whether you trade breakouts, range reversals, or trend continuation setups, this indicator visualizes the balance between supply and demand with clearly defined mid-bands, breakout zones, and momentum-sensitive TP/SL placements.
█ How It Works
⚪ Multi-Method Range Detection
ADX Mode
Uses the Average Directional Index (ADX) to detect low-trend-strength environments. When ADX is below your selected threshold, price is considered to be in consolidation.
Volatility Mode
This mode detects consolidation by identifying periods of volatility compression. It evaluates whether the following metrics are simultaneously below their respective historical rolling averages:
Standard Deviation
Variance
Average True Range (ATR)
⚪ Dynamic Range Band System
Once a range is confirmed, the system builds a dynamic band structure using a volatility-based filter and price-jump logic:
Middle Line (Trend Filter): Reacts to price imbalance using adaptive jump logic.
Upper & Lower Bands: Calculated by expanding from the middle line using a configurable multiplier.
This creates a clean, visual box that reflects current consolidation conditions and adapts as price fluctuates within or escapes the zone.
⚪ SL/TP Signal Engine
On detection of a breakout from the range, the indicator generates up to 3 Take Profit levels and one Stop Loss, based on the breakout direction:
All TP/SL levels are calculated using the filtered base range and multipliers.
Cooldown logic ensures signals are not spammed bar-to-bar.
Entries are visualized with colored lines and labeled levels.
This feature is ideal for traders who want automated risk and reward reference points for range breakout plays.
█ How to Use
⚪ Breakout Traders
Use the SL/TP signals when the price breaks above or below the range bands, especially after extended sideways movement. You can customize how far TP1, TP2, and TP3 sit from the entry using your own risk/reward profile.
⚪ Mean Reversion Traders
Use the bands to locate high-probability reversion zones. These serve as reference zones for scalping or fade entries within stable consolidation phases.
█ Settings
Range Detection Method – Choose between ADX or Volatility compression to define range criteria.
Range Period – Determines how many bars are used to compute trend/volatility.
Range Multiplier – Scales the width of the consolidation zone.
SL/TP System – Optional levels that project TP1/TP2/TP3 and SL from the base price using multipliers.
Cooldown – Prevents repeated SL/TP signals from triggering too frequently.
ADX Threshold & Smoothing – Adjusts sensitivity of trend strength detection.
StdDev / Variance / ATR Multipliers – Fine-tune compression detection logic.
-----------------
Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Macro Context v1 - NobruzeraaaHMacro Context v1
Advanced Multi-Asset Correlation Analysis for Professional Trading
"In institutional trading, correlation is king. This panel puts the crown on your charts."
Overview
This is a sophisticated real-time market analysis tool that monitors critical institutional correlations across traditional and cryptocurrency markets. This indicator provides traders with actionable insights based on academic research and institutional trading patterns.
Features
- **Multi-Asset Correlation Engine**
- **13 Advanced Analysis Layers** covering macro, crypto, and institutional flows
- **Real-time Correlation Detection** between BTC, equities, bonds, and commodities
- **Institutional Divergence Alerts** for early trend identification
- **Risk Sentiment Analysis** using VIX, DXY, and yield curve data
**Professional Grade Analytics**
- **NDX/SPX vs BTC Correlation** - Critical tech-crypto relationship monitoring
- **VIX Breakout Detection** - Institutional panic (>30) and dangerous complacency (<15) alerts
- **Yield Curve Inversion Monitoring** - Recession signal detection via US10Y-US2Y spread
- **Institutional Flow Tracking** - Real proxies using MSTR/COIN performance
- **DXY Critical Levels** - USD dominance (>105) and weakness (<95) thresholds
**Smart Actionable Signals**
- **Opportunity Detection** in altcoins during confirmed risk-on periods
- **Divergence Warnings** when BTC-Tech correlations break down
- **Volatility Preparation** alerts during market complacency
- **Hedge Recommendations** during institutional flight to quality
Correlation Matrix Monitored
**Traditional Markets**
| Asset | Function | Institutional Significance |
|-------|----------|---------------------------|
| **SPX** | Equity benchmark | Risk-on/off sentiment |
| **NDX** | Tech growth proxy | Innovation capital flows |
| **VIX** | Volatility index | Fear/greed institutional gauge |
| **DXY** | Dollar strength | Global liquidity flows |
| **US10Y-US2Y** | Yield curve | Recession probability |
| **Gold** | Safe haven | Inflation hedge demand |
| **Copper** | Industrial metal | Growth expectations |
**Cryptocurrency Markets**
| Asset | Function | Institutional Significance |
|-------|----------|---------------------------|
| **BTC** | Digital store of value | Institutional adoption gauge |
| **ETH** | Smart contract platform | DeFi institutional interest |
| **BTC.D** | Bitcoin dominance | Crypto capital allocation |
| **USDT.D** | Stablecoin dominance | Risk-off crypto indicator |
| **TOTAL3** | Alt market cap | Retail vs institutional flow |
**Institutional Proxies**
| Asset | Function | Why It Matters |
|-------|----------|----------------|
| **MSTR** | MicroStrategy stock | Corporate BTC holdings proxy |
| **COIN** | Coinbase stock | Crypto institutional gateway |
---
Critical Correlations Detected
**1. Tech-Led Risk-On Confirmation**
**Trigger:** NDX outperforming SPX + BTC rising + VIX declining
**Signal:** Strong institutional appetite for growth assets
**Action:** Opportunity in tech and crypto momentum
**2. BTC-Tech Divergence Warning**
**Trigger:** NDX/SPX ratio positive + BTC declining significantly
**Signal:** Potential institutional crypto exit while maintaining tech exposure
**Action:** Monitor for broader crypto weakness
**3. Institutional Panic Mode**
**Trigger:** VIX > 30 + USDT.D rising + BTC/equities declining
**Signal:** Fear-driven liquidations across all risk assets
**Action:** Wait for clarity, prepare for volatility
**4. Dangerous Complacency**
**Trigger:** VIX < 15 + low volatility across assets
**Signal:** Market complacency reaching dangerous levels
**Action:** Prepare for sudden volatility spike
**5. Yield Curve Recession Signal**
**Trigger:** US10Y-US2Y spread deeply inverted (<-0.5%)
**Signal:** Bond market pricing in economic slowdown
**Action:** Defensive positioning, reduce risk exposure
**6. USD Super-Dominance**
**Trigger:** DXY > 105 + gold declining + risk assets under pressure
**Signal:** Extreme USD strength creating global liquidity stress
**Action:** Monitor emerging market stress, dollar-denominated debt concerns
**7. Altseason Confirmation**
**Trigger:** BTC.D declining + USDT.D declining + TOTAL3 outperforming + low VIX
**Signal:** Capital rotating from BTC to altcoins in risk-on environment
**Action:** Opportunity in alternative cryptocurrencies
---
Advanced Analytics Provided
**Risk Sentiment Classification**
- 🔴 **Fear in System** - Multiple fear indicators triggered
- 🟡 **Cautious Mode** - Mixed signals, proceed carefully
- 🟢 **Risk Appetite** - Confirmed risk-on environment
- 🟢 **Strong Risk-On** - Multiple bullish confirmations
- 🟠 **Dangerous Complacency** - Excessive optimism warning
**Macro Context Analysis**
- 💪 **Dollar Dominant** - USD strength driving global flows
- 🌍 **USD Weakening** - Emerging market and commodity positive
- ⚠️ **Market Stress** - Multiple stress indicators active
- 🚀 **Solid Bull Market** - Confirmed uptrend across assets
- 🏭 **Growth Acceleration** - Copper/Gold ratio signaling expansion
- 🛡️ **Defensive Rotation** - Flight to quality assets
**Actionable Intelligence**
- ✅ **Opportunity in Alts** - Multiple confirmations for altcoin exposure
- ⚠️ **Wait for Clarity** - High uncertainty, avoid new positions
- 🏛️ **Consider Hedge** - Defensive positioning recommended
- 📈 **Ride Momentum** - Trend continuation likely
- 🔍 **Monitor Divergence** - Correlation breakdown warning
- ⚠️ **Prepare for Volatility** - Complacency extreme reached
Technical Implementation
**Data Sources**
- **Traditional Markets:** TradingView real-time feeds
- **Cryptocurrency:** Binance spot prices and market cap data
- **Macro Data:** US Treasury yields, volatility indices
- **Update Frequency:** Every minute during market hours
**Calculation Methodology**
- **24-hour percentage changes** for all assets
- **Real-time price levels** for VIX and DXY thresholds
- **Spread calculations** for yield curve analysis
- **Ratio analysis** for relative performance metrics
**Multi-Language Support**
- 🇺🇸 **English** - Full professional terminology
- 🇪🇸 **Spanish** - Complete translation for Latin American markets
- 🇧🇷 **Portuguese** - Brazilian market terminology
---
Academic Foundation
This indicator is built upon peer-reviewed research and institutional trading patterns:
**Research-Based Correlations**
- **Bitcoin-NASDAQ correlation studies** (2024 academic papers)
- **VIX threshold analysis** from institutional trading desks
- **Yield curve inversion** recession prediction models
- **Dollar index breakout** historical analysis
- **Cryptocurrency dominance** flow studies
**Institutional Insights**
- **Fear & Greed Index** methodology adaptation
- **Professional volatility** threshold implementation
- **Corporate treasury** Bitcoin adoption tracking
- **Institutional proxy** correlation validation
---
Quick Start Guide
**Configuration**
- **Language Selection:** Choose your preferred language
- **Asset Selection:** Enable/disable specific asset monitoring
- **Timezone:** Set your preferred timezone for timestamp display
**Interpretation**
- **Green indicators:** Bullish/risk-on signals
- **Red indicators:** Bearish/risk-off signals
- **Yellow indicators:** Neutral/mixed signals
- **Orange indicators:** Warning/extreme conditions
---
Use Cases
**Traders**
- **Portfolio allocation** based on institutional flows
- **Risk management** through correlation monitoring
- **Market timing** using sentiment extremes
- **Divergence trading** opportunities
**Analysts**
- **Multi-asset correlation** research
- **Macro theme** identification
- **Risk sentiment** quantification
- **Flow analysis** across asset classes
**Cryptocurrency Investors**
- **Altseason timing** through dominance analysis
- **Macro correlation** understanding
- **Institutional adoption** tracking
- **Risk-on/off** positioning
---
Important Disclaimers
- **Not Financial Advice:** This tool provides analytical insights, not investment recommendations
- **Market Risk:** All trading involves substantial risk of loss
- **Correlation Changes:** Market correlations can shift rapidly during crisis periods
- **Supplementary Tool:** Should be used alongside other analysis methods
This indicator represents cutting-edge market analysis combining traditional finance and cryptocurrency insights. Regular updates ensure continued accuracy as market structures evolve.
**Version:** 1.0
**Last Updated:** 2025
**Compatibility:** Pine Script v6
**Category:** Multi-Asset Analysis
Session-Based Sentiment Oscillator [TradeDots]Track, analyze, and monitor market sentiment across global trading sessions with this advanced multi-session sentiment analysis tool. This script provides session-specific sentiment readings for Asian (Tokyo), European (London), and US (New York) markets, combining price action, volume analysis, and volatility factors into a comprehensive sentiment oscillator. It is an original indicator designed to help traders understand regional market psychology and capitalize on cross-session sentiment shifts directly on TradingView.
📝 HOW IT WORKS
1. Multi-Component Sentiment Engine
Price Action Momentum : Calculates normalized price movement relative to recent trading ranges, providing directional sentiment readings.
Volume-Weighted Analysis : When volume data is available, incorporates volume flow direction to validate price-based sentiment signals.
Volatility-Adjusted Factors : Accounts for changing market volatility conditions by comparing current ATR against historical averages.
Weighted Combination : Merges all components using optimized weightings (Price: 1.0, Volume: 0.3, Volatility: 0.2) for balanced sentiment readings.
2. Session-Segregated Tracking
Automatic Session Detection : Precisely identifies active trading sessions based on user-configured time parameters.
Independent Calculations : Maintains separate sentiment accumulation for each major session, updated only during respective active hours.
Historical Preservation : Stores session-specific sentiment values even when sessions are closed, enabling cross-session comparison.
Real-Time Updates : Continuously processes sentiment during active sessions while preserving inactive session data.
3. Cross-Session Transition Analysis
Sentiment Differential Detection : Monitors sentiment changes when transitioning between trading sessions.
Configurable Thresholds : Generates signals only when sentiment shifts exceed user-defined minimum thresholds.
Directional Signals : Provides distinct bullish and bearish transition alerts with visual markers.
Smart Filtering : Applies smoothing algorithms to reduce false signals from minor sentiment variations.
⚙️ KEY FEATURES
1. Session-Specific Dashboard
Real-Time Status Display : Shows current session activity (ACTIVE/CLOSED) for all three major sessions.
Sentiment Percentages : Displays precise sentiment readings as percentages for easy interpretation.
Strength Classification : Automatically categorizes sentiment as HIGH (>50%), MEDIUM (20-50%), or LOW (<20%).
Customizable Positioning : Place dashboard in any corner with adjustable size options.
2. Advanced Signal Generation
Transition Alerts : Triangle markers indicate significant sentiment shifts between sessions.
Extreme Conditions : Diamond markers highlight overbought/oversold threshold breaches.
Configurable Sensitivity : Adjust signal thresholds from 0.05 to 0.50 based on trading style.
Alert Integration : Built-in TradingView alert conditions for automated notifications.
3. Forex Currency Strength Analysis
Base/Quote Decomposition : For forex pairs, separates sentiment into individual currency strength components.
Major Currency Support : Analyzes USD, EUR, GBP, JPY, CHF, CAD, AUD, NZD strength relationships.
Relative Strength Display : Shows which currency is driving pair movement during active sessions.
4. Visual Enhancement System
Session Background Colors : Distinct background shading for each active trading session.
Overbought/Oversold Zones : Configurable extreme sentiment level visualization with colored zones.
Multi-Timeframe Compatibility : Works across all timeframes while maintaining session accuracy.
Customizable Color Schemes : Full color customization for dashboard, signals, and plot elements.
🚀 HOW TO USE IT
1. Add the Script
Search for "Session-Based Sentiment Oscillator " in the Indicators tab or manually add it to your chart. The indicator will appear in a separate pane below your main chart.
2. Configure Session Times
Asian Session : Set Tokyo market hours (default: 00:00-09:00) based on your chart timezone.
European Session : Configure London market hours (default: 07:00-16:00) for European analysis.
US Session : Define New York market hours (default: 13:00-22:00) for American markets.
Timezone Adjustment : Ensure session times match your broker's specifications and account for daylight saving changes.
3. Optimize Analysis Parameters
Sentiment Period : Choose 5-50 bars (default: 14) for sentiment calculation lookback period.
Smoothing Settings : Select 1-10 bars smoothing (default: 3) with SMA, EMA, or RMA options.
Component Selection : Enable/disable volume analysis, price action, and volatility factors based on available data.
Signal Sensitivity : Adjust threshold from 0.05-0.50 (default: 0.15) for transition signal generation.
4. Interpret Readings and Signals
Positive Values : Indicate bullish sentiment for the active session.
Negative Values : Suggest bearish sentiment conditions.
Dashboard Status : Monitor which session is currently active and their respective sentiment strengths.
Transition Signals : Watch for triangle markers indicating significant cross-session sentiment changes.
Extreme Alerts : Note diamond markers when sentiment reaches overbought (>70%) or oversold (<-70%) levels.
5. Set Up Alerts
Configure TradingView alerts for:
- Bullish session transitions
- Bearish session transitions
- Overbought condition alerts
- Oversold condition alerts
❗️LIMITATIONS
1. Data Dependency
Volume Requirements : Volume-based analysis only functions when volume data is provided by your broker. Many forex brokers do not supply reliable volume data.
Price Action Focus : In absence of volume data, sentiment calculations rely primarily on price movement and volatility factors.
2. Session Time Sensitivity
Manual Adjustment Required : Session times must be manually updated for daylight saving time changes.
Broker Variations : Different brokers may have slightly different session definitions requiring time parameter adjustments.
3. Ranging Market Limitations
Trend Bias : Sentiment calculations may be less reliable during extended sideways or low-volatility market conditions.
Lag Consideration : As with all sentiment indicators, readings may lag during rapid market transitions.
4. Regional Market Focus
Major Session Coverage : Designed primarily for major global sessions; may not capture sentiment from smaller regional markets.
Weekend Gaps : Does not account for weekend gap effects on sentiment calculations.
⚠️ RISK DISCLAIMER
Trading and investing carry significant risk and can result in financial loss. The "Session-Based Sentiment Oscillator " is provided for informational and educational purposes only. It does not constitute financial advice.
- Always conduct your own research and analysis
- Use proper risk management and position sizing in all trades
- Past sentiment patterns do not guarantee future market behavior
- Combine this indicator with other technical and fundamental analysis tools
- Consider overall market context and your personal risk tolerance
This script is an original creation by TradeDots, published under the Mozilla Public License 2.0.
Session-based sentiment analysis should be used as part of a comprehensive trading strategy. No single indicator can predict market movements with certainty. Exercise proper risk management and maintain realistic expectations about indicator performance across varying market conditions.
Project SynthIntroducing Project Synth !
Inspired by Pace of Tape and Cumulative Delta I created Project Synth in order to aggregate volume flow data across multiple marketsfor two primary reasions:
Traditional orderflow tools are not available on Tradingview. My script attempts to bring an original; calculus-based approach to creating not only an alternative for traditional orderflow tools, but also a more accurate one.
In order to detect genuine buying and selling pressure that cannot be easily manipulated. I did this because while I've always enjoyed concept behind both of those tools, I did not think they captured enough data to be useful. By analyzing assets that move together (positive correlation) and assets that move inversely (negative correlation), my system aims to fix the fundamental problems with those indicators and create an objective view of market sentiment based on aggregate orderflow.
Some more detailed explanations (using QQQ and SQQQ as an example):
Inverse Market Dynamics (QQQ vs SQQQ):
In an inverse market like SQQQ, aggressive buyers hit the ask when they expect the underlying (QQQ) to fall, while passive buyers wait on the bid hoping for cheaper inverse exposure. When QQQ rallies, SQQQ sees aggressive selling (people dumping their bearish bets) hitting bids, while passive sellers sit on the ask hoping to exit at better prices. The aggression flows opposite to the underlying market direction.
Why Utilizing Both Markets Provides A More Accurate Delta:
Watching both QQQ and SQQQ gives cross-validation - real buying pressure in QQQ should coincide with selling pressure in SQQQ. If you see buying in QQQ but also buying in SQQQ, that's a conflicting signal suggesting the move might be artificial or driven by other factors. The inverse relationship acts as a confirmation filter, making false signals much harder to generate.
Multiple Markets = Authentic Pressure:
The more unique, important markets you track, the harder it becomes to create fake delta moves. Real institutional buying/selling pressure affects multiple correlated assets simultaneously in predictable patterns - you can't easily manipulate tech stocks, treasury bonds, VIX, and currency pairs all at once to create a false signal. Each additional market acts as a fraud detection layer, ensuring the delta measurement reflects genuine ecosystem-wide buying and selling pressure rather than isolated manipulation or noise.
My Suggestions For Usage:
In order to keep the explanation simple and short for now, I suggest using it just like a cumulative delta indicator. For example: let's say you were watching CME_MINI:ES1! , and you had a resistance level at 6000. When the price reaches your resistance level, you would be looking for a significant divergence between price and Delta. Price : rising, Delta : falling. This means that even though the price was going up, strong and aggressive sellers are jumping in more and more, this can be used as a confirmation tool for a resistance level.
Notes For Moderators, Authors and Users:
Firstly, to the best of my knowledge, I have not been able to find many tools built around the concept of cumulative delta or pace of tape. While I know there are a couple projects, none to the magnitude of synthetically recreating these tools via an algorithm designed around basic calculus principles. While tools like Volume Delta are built in, they do not attempt to capture an accurate picture of aggregated orderflow from what I understand.
Secondly, it needs to be noted that tool aims to create an approximation of buying and selling pressure. To my knowledge it is not possible to create an accurate full picture, at least not within the limitations of Tradingview.
My scriptImplied Volatility vs Historical Volatility
**Uncheck Plot box**
IV > HV = Overvalued
IV = HV = Fair Value
IV > HV = Undervalued
1. Pair with IV Rank: Use IV vs HV to confirm the setup, but IV Rank (50+, 70+) tells you how “high” IV is relative to its own history.
2. Timeframe: Use daily charts — IV is not meaningful on intraday timeframes.
3. Avoid noise: Use a smoothed HV (e.g., 20-day) and don’t chase small crossovers — look for clear divergence.
21-Day Trend Direction📈 21-Day Trend Direction Indicator
📊 How It Works:
🎯 Trend Detection Logic:
Analyzes last 21 daily candles
Calculates total price change from start to end
Compares against sideways threshold (default 2%)
Counts bullish vs bearish days
Tracks higher highs and lower lows
📈 Trend Classifications:
• 📈 UPTREND: Price change > +2% over 21 days
• 📉 DOWNTREND: Price change < -2% over 21 days
• ➡️ SIDEWAYS: Price change between -2% and +2%
💪 Trend Strength Levels:
• 🔥 Very Strong: >5% price change
• 💪 Strong: 3-5% price change
• 📊 Moderate: 1.5-3% price change
• 📉 Weak: <1.5% price change
🎨 Visual Features:
📋 Information Table Shows:
• Trend Direction with color coding
• Price Change % over 21 days
• Trend Strength classification
• Bull/Bear Days count
• Higher Highs/Lower Lows count
• Analysis Period (customizable)
📊 Chart Indicators:
• Trend Line (21-day moving average)
• Background Color for quick trend identification
• Trend Arrows (▲ ▼ ➡) on chart
• Customizable display options
⚙️ Customizable Settings:
🎯 Analysis Settings:
• Lookback Days: 5-50 days (default: 14)
• Sideways Threshold: 0.5-10% (default: 2%)
• Trend Strength: Low/Medium/High sensitivity
🎨 Display Options:
• Table Position: 9 different positions
• Table Size: Tiny to Large
• Show/Hide: Table, Trend Line, Background, Arrows
🚨 Alert Options:
• Trend Change to Uptrend
• Trend Change to Downtrend
• Trend Change to Sideways
This indicator gives you a clear, objective view of the 21-day trend with multiple confirmation signals! 🚀
CryptoNeo - Crypto Market Directionnal StrengthCryptoNeo – Crypto Market Directional Strength is a quantitative, multi-factor trend scoring tool designed to help traders identify the directional bias of the crypto market by aggregating key flow and sentiment signals into a single visual output.
This indicator is the result of multi-alpha signal research originally developed for a systematic trading strategy. It has now been optimized for discretionary traders who want to see real-time directional consensus across stablecoin flows, market structure shifts, and premium dynamics.
The script computes a Trend Score based on multiple real-time crypto signals. Each signal contributes to the score based on user-defined weights, and the result is visualized as color-coded columns on your chart, helping you quickly assess bullish or bearish strength.
Aggregated Signals:
Stablecoin Futures Flow (bullish/bearish) - Detects leveraged sentiment via stablecoin perpetual futures rates deviations.
Stablecoin Spot Flow (bullish/bearish) - Flags potential accumulation or distribution behavior in spot markets.
Stablecoin Market Cap Trend - Captures expansion or contraction in total stablecoin supply to indicate macro liquidity shifts.
USDC/USDT Rate Divergence - Identifies subtle pressure between the leading stablecoins, hinting at stress or capital flight.
Derivatives Overleverage Signal - Detects potentially dangerous funding-driven setups in the futures market.
Coinbase Premium Trend - Highlights differences between U.S. and global crypto prices, often a proxy for retail or institutional demand.
The score is plotted using the Directional Strength Score column chart:
🟢 Green – strong bullish alignment (score ≥ 3)
🟡 Yellow – mild bullish bias (score = 1–2)
⚪ White – neutral or indecisive (score ≈ 0)
🟠 Orange – mild bearish bias (score = –1 or –2)
🔴 Red – strong bearish alignment (score ≤ –3)
All components include weight inputs, allowing you to control how much influence each factor has on the final score, enabling you to personalize the indicator for different pairs, market conditions, or strategies.
Best to use For:
Traders focused on BTC, ETH, SOL, DOGE, and other large-cap cryptocurrencies
30-minute to 4-hour timeframes
Swing trading, trend confirmation, or sentiment filtering
Spotting potential trend shifts, fakeouts, or market exhaustion
Weekly COT ReportsThis is a separate pane that displays weekly COT reports reported on the CFTC website.
If the Currency is the base it will display on top of the midline. If the Currency is the quote it will display under the midline with the longs and shorts reversed so that all rising long positions put pressure to the upside and all rising shorts put pressure to the downside.
This version contains 16 weeks of data, updated every weekend.
It is based on midnight U.S. Central time.
It works best on the four-hour time frame.
The USD is found under "Market data & Economic Analysis" / Commitment of Traders / ICE Futures U.S. / Futures Only / Short Format
USD Code-098662.
All other are found under "Market data & Economic Analysis" / Commitment of Traders / Chicago Mercantile Exchange / Futures Only / Short Format
EUR Code-099741
CAD Code-090741
AUD Code-232741
GBP Code-096742
JPY Code-097741
NZD Code-112741
CHF Code-092741
CryptoNeo - Crypto Stablecoin MatrixThe CryptoNeo – Crypto Stablecoin Matrix is a forward-looking indicator that decodes broad crypto market sentiment by analyzing how stablecoins behave across spot and futures markets.
Stablecoins are the lifeblood of the crypto ecosystem, and how they move can offer early insight into future market direction. This tool leverages that behavior to forecast potential price action across major cryptocurrencies like BTC, ETH, SOL, DOGE, and other large-cap coins that tend to move in sync with the broader market.
Originally derived from a suite of alpha signals developed for a systematic crypto trading algorithm, this indicator compresses advanced stablecoin flow analytics into a clear and intuitive visual format — designed specifically for discretionary traders.
It is optimized for trading on the 30-minute to 4-hour timeframes, where the nuances of capital flow are most actionable. Whether you’re swing trading majors or scouting key pivot points, this tool provides a fresh edge rooted in stablecoin dynamics.
The Matrix is composed of four core components that signal changes in sentiment, capital flow, and market positioning:
1. Stablecoin Futures Flow (Bullish/Bearish)
Detects shifts in leveraged positioning in the futures market based on proprietary flow dynamics.
🟩 Green squares = bullish futures flow (long bias)
🟥 Red squares = bearish futures flow (short bias)
Helps identify directional sentiment through futures-driven stablecoin movement.
2. Stablecoin Spot Flow (Bullish/Bearish)
Analyzes momentum in spot market stablecoin activity to reveal potential accumulation or distribution.
🟢 Green circles = bullish spot flow (buying pressure)
🔴 Red circles = bearish spot flow (selling pressure)
Offers early signals of demand or profit-taking pressure.
3. Futures Oversold/Overbought Level 1
Identifies early signs of exhaustion or trend slowing based on leveraged market conditions.
🟢 Green diamonds = early oversold signal
🔴 Red diamonds = early overbought signal
Useful for catching subtle turning points or slowing momentum.
4. Futures Oversold/Overbought Level 2
Flags rare and extreme positioning events that may precede major reversals.
🟢 Large green diamonds = deep oversold condition
🔴 Large red diamonds = deep overbought condition
Highlights moments of extreme imbalance or sentiment peaks.
Customization & Flexibility
Adjustable sensitivity settings allow you to fine-tune:
Bullish and bearish Spot and Futures Flow
Thresholds for Level 1 and Level 2 Overbought/Oversold signals
This ensures traders can align signal responsiveness with their trading style and market conditions.
Best Used For:
Swing trading crypto majors (BTC, ETH, SOL, DOGE, etc.)
Timeframes between 30 minutes and 4 hours
Identifying trend reversals and accumulation zones
Tracking macro market sentiment using stablecoin behavior
Institutional Volume Profile# Institutional Volume Profile (IVP) - Advanced Volume Analysis Indicator
## Overview
The Institutional Volume Profile (IVP) is a sophisticated technical analysis tool that combines traditional volume profile analysis with institutional volume detection algorithms. This indicator helps traders identify key price levels where significant institutional activity has occurred, providing insights into market structure and potential support/resistance zones.
## Key Features
### 🎯 Volume Profile Analysis
- **Point of Control (POC)**: Identifies the price level with the highest volume activity
- **Value Area**: Highlights the price range containing a specified percentage (default 70%) of total volume
- **Multi-Row Distribution**: Displays volume distribution across 10-50 price levels for detailed analysis
- **Customizable Period**: Analyze volume profiles over 10-500 bars
### 🏛️ Institutional Volume Detection
- **Pocket Pivot Volume (PPV)**: Detects bullish institutional buying when up-volume exceeds recent down-volume peaks
- **Pivot Negative Volume (PNV)**: Identifies bearish institutional selling when down-volume exceeds recent up-volume peaks
- **Accumulation Detection**: Spots potential accumulation phases with high volume and narrow price ranges
- **Distribution Analysis**: Identifies distribution patterns with high volume but minimal price movement
### 🎨 Visual Customization Options
- **Multiple Color Schemes**: Heat Map, Institutional, Monochrome, and Rainbow themes
- **Bar Styles**: Solid, Gradient, Outlined, and 3D Effect rendering
- **Volume Intensity Display**: Visual intensity based on volume magnitude
- **Flexible Positioning**: Left or right side profile placement
- **Current Price Highlighting**: Real-time price level indication
### 📊 Advanced Visual Features
- **Volume Labels**: Display volume amounts at key price levels
- **Gradient Effects**: Multi-step gradient rendering for enhanced visibility
- **3D Styling**: Shadow effects for professional appearance
- **Opacity Control**: Adjustable transparency (10-100%)
- **Border Customization**: Configurable border width and styling
## How It Works
### Volume Distribution Algorithm
The indicator analyzes each bar within the specified period and distributes its volume proportionally across the price levels it touches. This creates an accurate representation of where trading activity has been concentrated.
### Institutional Detection Logic
- **PPV Trigger**: Current up-bar volume > highest down-volume in lookback period + above volume MA
- **PNV Trigger**: Current down-bar volume > highest up-volume in lookback period + above volume MA
- **Accumulation**: High volume + narrow range + bullish close
- **Distribution**: Very high volume + minimal price movement
### Value Area Calculation
Starting from the POC, the algorithm expands both upward and downward, adding volume until reaching the specified percentage of total volume (default 70%).
## Configuration Parameters
### Profile Settings
- **Profile Period**: 10-500 bars (default: 50)
- **Number of Rows**: 10-50 levels (default: 24)
- **Profile Width**: 10-100% of screen (default: 30%)
- **Value Area %**: 50-90% (default: 70%)
### Institutional Analysis
- **PPV Lookback Days**: 5-20 periods (default: 10)
- **Volume MA Length**: 10-200 periods (default: 50)
- **Institutional Threshold**: 1.0-2.0x multiplier (default: 1.2)
### Visual Controls
- **Bar Style**: Solid, Gradient, Outlined, 3D Effect
- **Color Scheme**: Heat Map, Institutional, Monochrome, Rainbow
- **Profile Position**: Left or Right side
- **Opacity**: 10-100%
- **Show Labels**: Volume amount display toggle
## Interpretation Guide
### Volume Profile Elements
- **Thick Horizontal Bars**: High volume nodes (strong support/resistance)
- **Thin Horizontal Bars**: Low volume nodes (weak levels)
- **White Line (POC)**: Strongest support/resistance level
- **Blue Highlighted Area**: Value Area (fair value zone)
### Institutional Signals
- **Blue Triangles (PPV)**: Bullish institutional buying detected
- **Orange Triangles (PNV)**: Bearish institutional selling detected
- **Color-Coded Bars**: Different colors indicate institutional activity types
### Color Scheme Meanings
- **Heat Map**: Red (high volume) → Orange → Yellow → Gray (low volume)
- **Institutional**: Blue (PPV), Orange (PNV), Aqua (Accumulation), Yellow (Distribution)
- **Monochrome**: Grayscale intensity based on volume
- **Rainbow**: Color-coded by price level position
## Trading Applications
### Support and Resistance
- POC acts as dynamic support/resistance
- High volume nodes indicate strong price levels
- Low volume areas suggest potential breakout zones
### Institutional Activity
- PPV above Value Area: Strong bullish signal
- PNV below Value Area: Strong bearish signal
- Accumulation patterns: Potential upward breakouts
- Distribution patterns: Potential downward pressure
### Market Structure Analysis
- Value Area defines fair value range
- Profile shape indicates market sentiment
- Volume gaps suggest potential price targets
## Alert Conditions
- PPV Detection at current price level
- PNV Detection at current price level
- PPV above Value Area (strong bullish)
- PNV below Value Area (strong bearish)
## Best Practices
1. Use multiple timeframes for confirmation
2. Combine with price action analysis
3. Pay attention to volume context (above/below average)
4. Monitor institutional signals near key levels
5. Consider overall market conditions
## Technical Notes
- Maximum 500 boxes and 100 labels for optimal performance
- Real-time calculations update on each bar close
- Historical analysis uses complete bar data
- Compatible with all TradingView chart types and timeframes
---
*This indicator is designed for educational and informational purposes. Always combine with other analysis methods and risk management strategies.*
Institutional Volume Footprint ProOVERVIEW
The Institutional Volume Footprint Pro is a comprehensive volume analysis indicator designed to identify institutional trading activity and significant volume patterns. Based on the proven Pocket Pivot Volume methodology by Chris Kacher and Gil Morales, this indicator has been enhanced with multiple additional volume analysis techniques to provide traders with a complete picture of smart money movements.
KEY FEATURES
1. Pocket Pivot Volume (PPV) Detection
- Identifies bullish volume patterns where current volume exceeds the highest down-day volume of the past 10 days
- Blue volume bars with "PPV" labels mark potential institutional accumulation
- Customizable lookback period (5-20 days)
2. Pivot Negative Volume (PNV) Detection
- Spots bearish volume patterns where selling volume exceeds recent up-day volumes
- Orange bars with "PNV" labels indicate potential institutional distribution
- Early warning system for trend reversals
3. Advanced Institutional Patterns
- Accumulation Detection (Aqua): High volume with narrow price range - classic stealth accumulation
- Churning/Distribution (Yellow): Heavy volume with minimal price progress - potential topping pattern
- Volume Dry-up (Purple): Extremely low volume periods that often precede significant moves
- Volume Climax (Fuchsia): Extreme volume spikes signaling potential exhaustion
4. Real-time Analytics Dashboard
- Relative Volume: Current volume compared to 10-day average
- Volume vs MA: Multiple of current volume to selected moving average
- Price Range Analysis: Narrow/Normal/Wide range classification
5. Accumulation/Distribution Trend
- Background coloring shows overall money flow direction
- Green tint: Net accumulation phase
- Red tint: Net distribution phase
HOW TO USE
Entry Signals:
- PPV (Blue): Consider long positions when price breaks above resistance with PPV confirmation
- Accumulation (Aqua): Watch for breakouts following multiple accumulation days
- Volume Dry-up (Purple): Prepare for potential explosive moves
Exit/Warning Signals:
- PNV (Orange): Consider taking profits or tightening stops
- Churning (Yellow): Distribution may be occurring despite stable prices
- Volume Climax (Fuchsia): Potential reversal point - extreme caution advised
CUSTOMIZATION OPTIONS
Analysis Parameters:
- PPV Lookback Period (5-20 days)
- Volume MA Length & Type (SMA/EMA/WMA)
- Relative Volume Threshold
- Climax Volume Multiplier
Visual Controls:
- Toggle Info Table display
- Enable/disable individual label types (PPV, PNV, ACC)
- Show/hide volume moving averages
- Control A/D trend background
- Customize threshold lines
BUILT-IN ALERTS
- Pocket Pivot Volume detected
- Pivot Negative Volume detected
- Institutional Accumulation pattern
- Volume Climax warning
- Volume Dry-up alert
PRO TIPS
1. Combine with Price Action: Volume confirms price - look for PPV at breakouts and PNV at breakdowns
2. Multiple Timeframes: Check daily and weekly charts for confluence
3. Relative Volume Matters: Patterns are stronger when relative volume > 1.5x
4. Watch for Divergences: Price up with decreasing volume = weakness
COLOR LEGEND
- Blue: Pocket Pivot Volume (Bullish)
- Orange: Pivot Negative Volume (Bearish)
- Aqua: Institutional Accumulation
- Yellow: Churning/Distribution
- Purple: Volume Dry-up
- Fuchsia: Volume Climax
- Green: Above-average up volume
- Red: Above-average down volume
- Gray: Below-average volume
EDUCATIONAL BACKGROUND
This indicator implements concepts from:
- "Trade Like an O'Neil Disciple" by Gil Morales & Chris Kacher
- William O'Neil's volume analysis principles
- Richard Wyckoff's accumulation/distribution methodology
Happy Trading! May the volume be with you!
Volume Profile (PRO) [ActiveQuants]The Volume Profile (PRO) indicator is an advanced analytical tool designed to provide traders with a deep understanding of market dynamics by displaying trading activity across different price levels over a specified period. By meticulously plotting volume distribution , this indicator helps identify significant price zones, such as areas of high acceptance ( High Volume Nodes - HVNs ), rejection ( Low Volume Nodes - LVNs ), Volume Peaks Clusters , Volume Troughs Clusters , the Point of Control (POC) , and the Value Area (VA) . This insight is crucial for spotting potential support/resistance levels, assessing market sentiment, and making more informed trading decisions.
This indicator operates on the principle that price levels with higher traded volume hold greater significance, often acting as pivotal points for future price movements. Conversely, areas with low volume typically indicate less agreement on price, leading to quicker price transitions. The Volume Profile (PRO) offers extensive customization to tailor the analysis to your specific needs and trading style.
█ KEY FEATURES
Comprehensive Volume Analysis: Visualize volume distribution horizontally, revealing key price levels based on actual traded volume.
Dynamic Profile Calculation: Uses a rolling lookback period to keep the profile relevant to recent price action.
Point of Control (POC): Automatically identifies and plots the price level with the highest traded volume within the profile period. Available as a "Regular" (fixed for the current profile) or "Developing" line that tracks its evolution bar-by-bar.
Value Area (VA): Highlights the price range where a specified percentage (typically 70%) of the total volume was traded. Also available as "Regular" or "Developing" VAH (Value Area High) and VAL (Value Area Low) lines.
High and Low Volume Nodes (HVNs & LVNs): Option to automatically detect and highlight a specified number of the highest volume concentration zones (HVNs) and lowest volume zones (LVNs) within the profile. These are crucial for identifying support/resistance and areas of potential quick price movement.
Volume Peaks and Troughs Detection: Identify statistically significant high-volume (Peaks) and low-volume (Troughs) rows relative to their neighbors, either as single rows or clusters. These can pinpoint precise levels of interest.
Multiple Volume Display Types: Choose to display volume as:
- Up/Down: Shows buying and selling volume side-by-side for each row.
- Total: Shows the aggregate volume for each row.
- Delta: Shows the difference between buying and selling volume for each row, highlighting imbalances.
Extensive Customization: Fine-tune lookback period, number of rows, profile width, horizontal placement, Value Area percentage, colors for all elements, and specific parameters for node/peak/trough detection.
Visual Enhancements:
- Optional gradient colors for volume bars.
- Display volume figures directly on rows.
- Background shading for the Value Area and the entire Profile range.
- Price labels for POC, VAH, VAL, Profile High, and Profile Low.
Integrated Alert System: Pre-built alert conditions for critical volume profile events. (See section on "█ SETTING UP ALERTS " for more details).
█ USER INPUTS
The settings panel is organized into distinct sections:
- Calculation Settings:
Lookback: Number of most recent bars for profile calculation.
Number of Rows: Resolution of the volume profile.
Profile Width: Relative horizontal length of the volume bars.
Horizontal Offset: Horizontal positioning of the profile.
Value Area (%): Percentage of volume to include in the Value Area.
Volume: Display type ("Up/Down", "Total", "Delta").
Profile Placement: "Right" or "Left" side of the chart.
- Appearance:
Volume Profile On/Off: Toggle visibility of the entire profile.
Rows Border Width & Color: Customize the outline of volume rows.
Gradient Colors: Enable/disable gradient coloring for volume bars.
Row Volume: Display numerical volume on each row.
VAH (Value Area High): Display type ("None", "Regular", "Developing"), Color, Price Label, Line Width.
VAL (Value Area Low): Display type ("None", "Regular", "Developing"), Color, Price Label, Line Width.
Profile High Price Label & Color: Toggle and customize.
Profile Low Price Label & Color: Toggle and customize.
Value Area Up/Down Color: Colors for up/down volume within VA.
Profile Up/Down Color: Colors for up/down volume outside VA.
Total Volume Color: For "Total" volume display type.
Delta Volume Positive/Negative Color: For "Delta" volume display type.
POC (Point of Control): Display type ("None", "Regular", "Developing"), Color, Line Width, Price Label.
Value Area Background & Color: Enable and customize VA background shading.
Profile Background & Color: Enable and customize profile range background shading.
Volume Nodes:
Highest Volume Nodes & Color: Number of HVNs to highlight and their color.
Lowest Volume Nodes & Color: Number of LVNs to highlight and their color.
Volume Peaks: Detection type ("None", "Single Row", "Cluster"), Color.
Compared Neighbors (Peaks): Number of neighboring rows to compare against for peak detection.
Minimum Peak Ratio (Peaks): Volume ratio required for a row to be considered a peak.
Volume Troughs: Detection type ("None", "Single Row", "Cluster"), Color.
Compared Neighbors (Troughs): Number of neighboring rows to compare against for trough detection.
Minimum Trough Ratio (Troughs): Volume ratio required for a row to be considered a trough.
█ SETTING UP ALERTS
The Volume Profile (PRO) indicator comes with a comprehensive set of pre-configured alert conditions to notify you of key market events related to volume structure. To set up an alert:
Click the " Alert " button (clock icon) on TradingView's right-hand toolbar or top panel.
In the " Condition " dropdown, select " Volume Profile (PRO) ".
A second dropdown will appear, allowing you to choose from the following specific alert conditions built into the script:
- POC Price Change: Triggers when the Point of Control price level changes.
- POC Crossover: Triggers when the closing price crosses over the POC line and is now above it.
- POC Crossunder: Triggers when the closing price crosses under the POC line and is now below it.
- Close Inside Value Area: Triggers when the closing price enters the Value Area.
- Close Outside Value Area: Triggers when the closing price exits the Value Area.
- Close Inside High Volume Node: Triggers when the closing price enters a detected High Volume Node.
- Close Inside Low Volume Node: Triggers when the closing price enters a detected Low Volume Node.
- Close Inside Volume Peak: Triggers when the closing price enters a detected Volume Peak row.
- Close Inside Volume Peak Cluster: Triggers when the closing price enters the area of a Volume Peak cluster.
- Close Inside Volume Trough: Triggers when the closing price enters a detected Volume Trough row.
- Close Inside Volume Trough Cluster: Triggers when the closing price enters the area of a Volume Trough cluster.
Choose your preferred " Trigger " option:
- " Only Once ": The alert triggers the first time the condition is met.
- " Once Per Bar Close ": ( Recommended for most profile signals ) The alert triggers only after the current bar closes if the condition was true on that closed bar. This ensures signals are based on confirmed price action.
Customize the alert name, message, and notification preferences.
Click " Create ".
█ STRATEGY EXAMPLES
The following examples are for illustrative purposes only to demonstrate how the Volume Profile (PRO) can be used. They are not financial advice. Always conduct thorough backtesting and research.
1. POC as Dynamic Support/Resistance
Goal: Identify potential bounces or rejections from the Point of Control.
Setup: Enable "POC Line" (Regular or Developing) and observe price interaction.
Entry (Long):
- Price approaches the POC from above and shows signs of holding (e.g., bullish candlestick patterns, deceleration).
- Enter on confirmation of support at the POC.
Entry (Short):
- Price approaches the POC from below and shows signs of rejection (e.g., bearish candlestick patterns).
- Enter on confirmation of resistance at the POC.
Management: Stop-loss beyond the recent swing pivot or the POC itself after a confirmed break. Target the next significant volume node (HVN/LVN) or Value Area boundary.
2. Trading Low Volume Nodes (LVNs) as "Vacuum Zones"
Goal: Capitalize on rapid price movement through LVNs and their potential to become support/resistance once traversed.
Setup: Enable "Lowest Volume Nodes" to identify LVNs.
Entry (Long):
- Price breaks decisively above an LVN.
- Look for a retest of the top of the LVN as support. Enter long on confirmation.
Entry (Short):
- Price breaks decisively below an LVN.
- Look for a retest of the bottom of the LVN as resistance. Enter short on confirmation.
Concept: Price is expected to move quickly through LVNs (volume vacuum). Once price has passed through an LVN, that area of prior low acceptance can act as a new support/resistance zone.
Management: Stop-loss beyond the retested LVN. Target the next HVN or significant price level.
█ CONCLUSION
The Volume Profile (PRO) indicator offers a sophisticated and highly customizable approach to volume analysis. By providing clear visualizations of POC, Value Area, HVNs, LVNs, and Volume Peaks/Troughs, along with integrated alerts and developing levels, this tool empowers traders to identify critical price zones, understand market structure, and develop more nuanced trading strategies. Whether you're looking for precise entry points, areas of support and resistance, or confirmation of market sentiment, this Volume Profile indicator is an invaluable addition to your technical analysis toolkit.
█ IMPORTANT NOTES
⚠ Lookback vs. Calculated Bars Relationship: The value set in the " Lookback " input ( Calculation Settings ) must be less than half of the number of bars the indicator is set to calculate on your chart (referred to as " Calculated bars " in the script, typically controlled by TradingView's historical data loading or a calc_bars_count setting within the script's indicator() declaration – in this script, it is 1200 bars by default). For example, if "Calculated bars" is 1200, your Lookback should be less than 600. The default Lookback of 500 respects this. Setting a Lookback too high relative to available calculated bars can lead to errors or incorrect profile rendering.
⚠ Parameter Optimization: The default settings are starting points. Always adjust indicator parameters (Lookback, Number of Rows, VA%, etc.) based on the specific asset, its volatility, and the timeframe you are trading. Thorough backtesting is crucial.
⚠ Context is Key: Volume Profile is powerful, but its signals are best interpreted within the broader market context (trend, news, other technical indicators).
⚠ Lookback vs. Profile Stability: A shorter lookback makes the profile very responsive to recent action but less stable. A longer lookback provides more stable levels but may lag in fast-moving markets.
⚠ Number of Rows: Higher row counts offer more granularity but can impact performance and may show too much noise. Lower row counts offer a broader view but may obscure finer details.
⚠ Alert Confirmation: Using " Once Per Bar Close " for alerts is generally recommended to ensure signals are based on confirmed price action.
█ RISK DISCLAIMER
Trading involves a substantial risk of loss and is not suitable for all investors. The Volume Profile (PRO) indicator is provided for educational and informational purposes only . It does NOT constitute financial advice or a recommendation to buy or sell any asset. Indicator signals identify potential patterns based on historical data but do not guarantee future price movements or profitability. Always conduct your own thorough research, utilize multiple sources of information, and implement robust risk management practices before making any trading decisions. Past performance is not indicative of future results.
📊 Happy trading! 🚀
ML: Lorentzian Classification Premium█ OVERVIEW
Lorentzian Classification Premium represents the culmination of two years of collaborative development with over 1,000 beta testers from the TradingView community. Building upon the foundation of the open-source version, this premium edition introduces powerful enhancements that transform how machine-learning classification can be applied to market analysis.
The premium version maintains the core Lorentzian distance-based classification algorithm while expanding its capabilities through triple the feature dimensionality (up to 15 features), sophisticated mean-reversion detection, first-pullback identification, and a comprehensive signal taxonomy that goes far beyond simple buy/sell signals. Whether you're building automated trading systems, conducting deep market research, or integrating proprietary indicators into ML workflows, this tool provides the advanced edge needed for professional-grade analysis.
█ BACKGROUND
Lorentzian Classification analyzes market structures, especially those exhibiting non-linear distortions under stress, by employing advanced distance metrics like the Lorentzian metric, prominent in fields such as relativity theory. Where traditional indicators assume flat space, we embrace the curve. The heart of this approach is the Lorentzian distance metric—a sophisticated mathematical tool. This framework adeptly navigates the complex curves and distortions of market space, aiming to provide insights that traditional analysis might miss, especially during moments of extreme volatility. It analyzes historical data from a multi-dimensional feature space consisting of various technical indicators of your choosing. Where traditional approaches fail, Lorentzian space reveals the true geometry of market dynamics.
Neighborhoods in Different Geometries: In the above figure, the Lorentzian metric creates distinctive cross-patterns aligned with feature axes (RSI, CCI, ADX), capturing both local similarity and dimensional extremes. This unique geometry allows the algorithm to recognize similar market conditions that Euclidean spheres and Manhattan diamonds would miss entirely. In LC Premium, users can have up to 15 features -- you are not limited to 3-dimensions.
Among the thousands of distance metrics discovered by mathematicians, each perceives data through its own geometric lens. The Lorentzian metric stands apart with its unique ability to capture market behavior during volatile events.
█ COMMUNITY-DRIVEN EVOLUTION
It has been profoundly humbling over the past 2 years to witness this indicator's evolution through the collaborative efforts of our incredible community. This journey has been shaped by thousands of user suggestions and validated through real-world application.
A particularly amazing milestone was the development of a complete community-driven Python port, which meticulously matched even the most minute PineScript quirks. Building on this solid foundation, a new command-line interface (CLI) has opened up exciting possibilities for chart-specific parameter optimization:
Early insights from parameter optimization research: Through grid-search testing across thousands of parameter combinations, the analysis identifies which parameters have the biggest effects on performance and maps regions of stability across different market regimes. This reveals that optimal neighbor counts vary significantly based on market conditions—opening up incredible potential for timeframe-specific optimization.
This is just one of the insights gleaned so far from this ongoing investigation. The potential for chart-specific optimization for any given timeframe could transform how traders approach parameter selection.
Demand from power users for extra capabilities—while keeping the open-source version simple—sparked this Premium release. The open-source branch remains maintained, but the premium tier adds unique features for those who need an analytical edge and to leverage their own custom indicators as feature series for the algorithm.
█ KEY PREMIUM FEATURES
📈 First Pullback Detection System
Automatically identifies high-probability trend-continuation entries after initial momentum moves.
Detects when price retraces to optimal entry zones following breakouts or trend initiations.
Green/red triangle signals often fire before main classification arrows.
Dedicated alerts for both bullish and bearish pullback opportunities.
Based on veryfid's extensive research into pullback mechanics and market structure.
🔄 Dynamic Kernel Regression Envelope
Powerful, zero-setup confluence layer that immediately communicates trend shifts.
Dual-kernel system creates a visual envelope between trend estimates.
Color gradient dynamically represents prediction strength and market conviction.
Crossovers provide additional confirmation without cluttering your chart.
Professional visualization that rivals institutional-grade analysis tools.
✨ Massively Expanded Dimensionality: 10 Custom Sources, 5 Built-In Sources
Transform the indicator from 5 built-in standard to 15 total total features—triple the analytical power.
Integrate ANY TradingView indicator as a machine learning feature.
Built-in normalization ensures all indicators contribute equally regardless of scale.
Create theme-based systems: pure volume analysis, multi-timeframe momentum, or hybrid approaches.
📊 Tiered Mean Reversion Signals with Scalping Alerts
Regular (🔄) and Strong (⬇️/⬆️) mean reversion signals based on statistical extremes.
Opportunities often arise before candle close—perfect for scalping entries.
Visual markers appear at high-probability reversal zones.
Four specialized alert types: upward/downward for both regular and strong reversals.
Pre-optimized probability thresholds, no fine-tuning required.
📅 Daily Kernel Trend Filter
Instantly cleans up noisy intraday charts by aligning with higher timeframe trends.
Swing traders report immediate signal quality improvement.
Automatically deactivates on daily+ timeframes (intelligent context awareness).
Reduces counter-trend signals by up to 60% on lower timeframes.
Simple toggle—no complex multi-timeframe setup required.
📋 Professional Backtesting Stream (-6 to +6)
Multiple distinct signal types (including pullbacks, mean reversions, and kernel deviations) vs. basic binary (buy/sell) output for nuanced analysis.
Enables detailed walk-forward analysis and ML model training.
Compatible with external backtesting frameworks via numeric stream.
Rare precision for TradingView indicators—usually only found in institutional tools.
Perfect for quants building sophisticated strategy layers.
⚡ Performance Optimizations
Faster distance calculations through algorithmic improvements.
Reduced indicator load time (measured via Pine Profiler).
Handles 15 active features without timeouts—critical for multi-chart setups.
Optimized for live auto-trading bots requiring minimal latency.
🎨 Full Visual Customization & Accessibility
Complete color control for all visual elements.
Colorblind-safe default palette with customization options.
Dark mode optimization for extended trading sessions.
Professional appearance matching your trading workspace.
Accessibility features meeting modern UI standards.
🛠️ Advanced Training Modes
Downsampling mode for training on diverse market conditions; Down-sampling and remote-fractals for exotic pattern discovery.
Remote fractals option extends analysis to deep historical patterns.
Reset factor control for fine-tuning neighbor diversity; Reset-factor tuning to control neighbor diversity.
Appeals to systematic traders exploring exotic data approaches.
Prevents temporal clustering bias in model training.
█ HOW TO USE
Understanding the Approach (Core Concept):
Lorentzian Classification uses a k-Nearest Neighbors (k-NN) algorithm. It searches for historical price action "neighborhoods" similar to the current market state. Instead of a simple straight-line (Euclidean) distance, it primarily uses a Lorentzian distance metric, which can account for market "warping" or distortions often seen during high volatility or significant events. Each historical neighbor "votes" on what happened next in its context, and these votes aggregate into a classification score for the current bar.
Interpreting Bar Scores & Signals (Interpreting the Chart):
Bar Prediction Values: Numbers over each candle (e.g., ranging from -8 to +8 if Neighbors Count is 8) represent the aggregated vote from the nearest neighbors. Strong positive scores (e.g., +7, +8) indicate a strong bullish consensus among historical analogs. Strong negative scores (e.g., -7, -8) indicate a strong bearish consensus. Scores near zero suggest neutrality or conflicting signals from neighbors. The intensity of bar colors (if Use Confidence Gradient is on) often reflects these scores.
Main Arrows (Main Buy/Sell Labels): Large ▲/▼ labels are the primary entry signals generated when the overall classification (after filters) is bullish or bearish.
Pullback Triangles: Small green/red ▲/▼ identify potential trend continuation entries. These signals often appear after an initial price move and a subsequent minor retracement, suggesting the trend might resume. This is based on recognizing patterns where a brief counter-movement is followed by a continued advance in the initial trend direction.
Mean-Reversion Symbols: 🔄 (Regular Reversion) appears when price has crossed the average band of the Dynamic Kernel Regression Envelope. ⬇️/⬆️ (Strong Reversion) means price has crossed the far band of the envelope, indicating a more extreme deviation and potentially a stronger reversion opportunity.
Custom Mean Reversion Deviation Markers (Deviation Dots): If Enable Custom Mean Reversion Alerts is on, these dots appear when price deviates from the main kernel regression line by a user-defined ATR multiple, signaling a custom-defined reversion opportunity.
Kernel Regression Lines & Envelope: The Main Kernel Estimate (thicker line) is an adaptive moving average that smooths price and helps identify trend direction. Its color indicates the current trend bias. The Envelope (outer bands and a midline) creates a channel around price, and its interaction with price generates mean reversion signals.
Key Input Groups & Their Purpose:
🔧 GENERAL SETTINGS:
Reduce Price-Time Warping : Toggles the distance metric. When enabled, it reduces the characteristic "warping" effect of the default Lorentzian metric, making the distance calculation more Euclidean in nature. This may be suited for periods exhibiting less pronounced price-time distortions.
Source : Price data for calculations (default: close ).
Neighbors Count : The 'k' in k-NN – number of historical analogs considered.
Max Bars Back : How far back the indicator looks for historical patterns.
Show Exits / Use Dynamic Exits : Controls visibility and logic for exit signals.
Include Full History (Use Remote Fractals) : Allows model to pick "exotic" fractals from deep chart history.
Use Downsampling / Reset Factor : Advanced training parameters affecting neighbor selection.
Show Trade Stats / Use Worst Case Estimates : Displays a real-time performance table (for calibration only).
🎛️ DEFINE CUSTOM SOURCES (OPTIONAL):
Integrate up to 10 external data series (e.g., from other indicators) as features. Each can be optionally normalized. Load the external indicator on your chart first for it to appear in the dropdown.
🧠 FEATURE ENGINEERING:
Configure up to 15 features for the k-NN algorithm. Select type (RSI, WT, CCI, ADX, Custom Sources), parameters, and enable/disable. Start simple (3-5 features) and add complexity gradually. Normalize features with vastly different scales.
🖥️ DISPLAY SETTINGS:
Controls visibility of chart elements: bar colors, prediction values/labels, envelope, etc.
Align Signal with Current Bar : If true, pullback signals appear on the current bar (calculated on closed data). If false (default), they appear on the next bar.
Use ATR Offset : Positions bar prediction values using ATR for visibility.
🧮 FILTERS SETTINGS:
Refine raw classification signals: Volatility, Regime, ADX, EMA/SMA, and Daily Kernel filters.
🌀 KERNEL SETTINGS (Main Kernel):
Adjust parameters for the primary Nadaraya-Watson Kernel Regression line. Lookback Window , Relative Weighting , Regression Level , Lag control sensitivity and smoothness.
✉️ ENVELOPE SETTINGS (for Mean Reversion):
Configure the dynamic Kernel Regression Envelope. ATR Length , Near/Far ATR Factor define band width.
🎨 COLOR SETTINGS (Colors):
Customize colors for all visual elements; override every palette element.
General Approach to Using the Indicator (Suggested Workflow):
Load defaults and observe behavior: Familiarize yourself with the indicator's behavior.
Feature Engineering: Experiment with features, considering momentum, trend, and volatility. Add/replace features gradually.
Apply Filters: Refine signals according to your trading style.
Contextualize: Use kernels and envelope to understand broader trend and potential overbought/oversold areas.
Observe Signals: Pay attention to the interplay of main signals, pullbacks, and mean reversions. Watch interplay of main, pullback & mean-reversion signals.
Calibrate (Not Backtest): Use the "Trade Stats" table for real-time feedback on current settings. This is for calibration, *not a substitute for rigorous backtesting.*
Iterate & refine: Adjust settings, observe outcomes, and refine your approach.
█ ACKNOWLEDGMENTS
This premium version wouldn't exist without the invaluable contributions of:
veryfid for his groundbreaking ideas on unifying pullback detection with Lorentzian Classification, but most of all for always believing in and encouraging me and so many others. For being a mentor and, most importantly, a friend. We all miss you.
RikkiTavi for his help in creating the settings optimization framework and for other invaluable theoretical discussions.
The 1,000+ beta testers worldwide who provided continuous feedback over two years.
The Python porting team who created the foundation for advanced optimization; for the cross-language clone.
The broader TradingView community for making this one of the platform's most popular indicators.
█ FUTURE DEVELOPMENT
The Premium version will continue to evolve based on community feedback. Planned enhancements include:
Specialized exit model trained independently from entry signals (ML-based exit model).
Feature hub with pre-normalized, commonly requested indicators (Pre-normalized feature hub).
Better risk-management options (Enhanced risk-management options).
Fully automated settings optimization (Auto-settings optimization tool).
