Trading Capital Management for Option SellingTrading Capital Management for Option Selling
This Pine Script indicator helps manage trading capital allocation for option selling strategies based on price percentile ranking. It provides dynamic allocation recommendations for index options (NIFTY and BANKNIFTY) and individual stock positions.
Key Features:
- Dynamic buying power (BP) allocation based on close price percentile
- Flexible index allocation between NIFTY and BANKNIFTY
- Automated calculation of recommended number of stock positions
- Risk management through position size limits
- Real-time INDIA VIX monitoring
Main Parameters:
1. Window Length: Period for percentile calculation (default: 252 days)
2. Thresholds: Low (30%) and High (70%) percentile thresholds
3. Capital Settings:
- Trading Capital: Total capital available
- Max BP% per Stock: Maximum allocation per stock position
4. Buying Power Range:
- Low Percentile BP%: Base BP usage at low percentile
- High Percentile BP%: Maximum BP usage at high percentile
5. Index Allocation:
- NIFTY/BANKNIFTY split ratio
- Minimum and maximum allocation thresholds
Display:
The indicator shows two tables:
1. Common Metrics:
- Total BP Usage with percentage
- Current INDIA VIX value
- Current Close Price Percentile
2. Capital Allocation:
- Index-wise BP allocation (NIFTY and BANKNIFTY)
- Stock allocation pool
- Recommended number of stock positions with BP per stock
Usage:
This indicator helps traders:
1. Scale positions based on market conditions using price percentile
2. Maintain balanced exposure between indices and stocks
3. Optimize capital utilization while managing risk
4. Adjust position sizing dynamically with market volatility
Pengurusan portfolio
Majors Sync | QuantEdgeBIntroducing MajorsSyn c by QuantEdgeB
🔹 Overview
🚀 Dynamic Rotation System for BTC, ETH & SOL
MajorsSync is a powerful, rotation-based strategy designed to systematically identify the leading cryptocurrency among the top three majors: Bitcoin (BTC), Ethereum (ETH), and Solana (SOL).
By analyzing inter-market strength, pairwise trend dominance, and individual trend quality, MajorsSync dynamically shifts exposure toward the asset with the highest potential for outperformance, while de-risking during unfavorable conditions.
✨ Core Objective
📌 To allocate capital to the strongest-performing major—BTC, ETH, or SOL—while avoiding underperformers and unnecessary exposure during uncertain market phases.
🧠 How It Works
Majors Sync uses a multi-tiered decision structure:
🔹 1. Individual Asset Trend Evaluation
Each asset is scored using a Trend Performance Index (TPI). These are proprietary models capturing medium-term momentum and structure for:
• BTC
• ETH
• SOL
🔹 2. Pairwise Relative Strength Matrix
Compute TPI values between the asset pairs:
• ETHBTC → Is ETH stronger than BTC?
• SOLETH → Is SOL stronger than ETH?
• SOLBTC → Is SOL stronger than BTC?
These relative TPI readings help construct a score matrix to rank assets 0–2.
🔹 3. Signal Confirmation
Only when the top-ranked asset has a positive TPI, a Long signal is triggered on that asset.
Otherwise, if no asset meets the threshold, the system remains in Cash/Neutral mode to protect capital.
🧮 Capital Allocation Logic
📊 Allocation always rotates to:
• ✅ The strongest asset with a positive trend
• 🛑 Otherwise, goes neutral/cash (no trade)
This ensures capital is placed in high-probability zones only.
💼 Equity System
🧮 An internal equity engine simulates dynamic capital rotation by reallocating to the top-performing major (BTC, ETH, or SOL) at each bar. This allows for transparent tracking of historical strategy performance.
• 💡 If BTC is the top asset → System follows BTC's price change
• 💡 If ETH becomes dominant → It reallocates to ETH
• 💡 If SOL takes over → Position shifts to SOL
• 📉 No asset qualified? → Strategy holds cash
You also get a Buy & Hold BTC benchmark for direct comparison.
⚠️ This simulation reflects past behavior and is not indicative of future results.
📊 Dashboard & Visuals
The built-in dashboard table displays:
• 🧠 Asset Trends (BTC, ETH, SOL)
• 🧩 Matrix values (e.g., ETH vs BTC, SOL vs ETH)
• 🏁 Final Signal Output (which asset is selected)
• 🔁 Real-time Strategy Equity vs Buy & Hold
💪 Why It Works
Majors Sync blends:
• ✅ Inter-market structure (pairwise dominance)
• ✅ Intra-asset momentum (standalone TPI)
• ✅ Position filtering (only acts on positive signals)
• ✅ Capital efficiency (rotates rather than overtrades)
This design reduces drawdowns, avoids stagnation, and seeks to capture medium-term leadership shifts among the top crypto majors.
📊 MajorSync Backtest Metrics
🔹 Sharpe Ratio
Shows the risk-adjusted return by comparing the strategy's return to its overall volatility. Higher is better — it means you're getting more reward per unit of risk.
🔹 Sortino Ratio
Similar to Sharpe, but focuses only on downside volatility (the bad kind). This makes it a better reflection of how the system handles losses specifically.
🔹 Omega Ratio (Ω)
Measures how often the system generates profitable returns versus unprofitable ones. A value above 1 means it wins more than it loses — and the higher it goes, the better.
🔹 Equity Max Drawdown (Eq.Max DD)
This is the deepest decline from peak equity during the test. Lower drawdown means less risk of big losses.
📌 Disclaimer: Backtest results are based on historical data and past market behavior. Performance is not indicative of future results and should not be considered financial advice. Always conduct your own backtests and research before making any investment decisions. 🚀
🚀 Key Benefits
✔️ Trend-Following + Relative Strength Hybrid
✔️ Rotational Capital Efficiency
✔️ De-risking in Weak Conditions
✔️ Optimized for Swing and Medium-Term Positioning
✔️ Visual Clarity + Smart Allocation
🔧 Settings Overview
• Color Mode – Switch visual palette for the base Trend
• Trend Color – Toggle trend-based bar coloring
• Enable Backtest Table – Show historical performance metrics
• Start Date – Control backtest window
🏁 Conclusion
Majors Sync is your intelligent rotation engine for crypto majors.
Instead of guessing which coin to hold, let the system rotate for you—objectively, consistently, and visually.
📈 Be in BTC when it leads. Switch to ETH or SOL when strength shifts. Sit in cash when needed.
📌 Master the market with precision and confidence | QuantEdgeB
🔹 Disclaimer: Past performance is not indicative of future results. No trading strategy can guarantee success in financial markets.
🔹 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
All Forex Sessions (SAST Accurate) + LabelsFor traders in South Africa
Uses timestamp("Africa/Johannesburg", ...) — this locks the session window to true SAST time
The session now perfectly aligns from 14:00 to 18:00 local time no matter what time zone your TradingView chart is in
Also shows start and end vertical lines only when the session opens and closes
GTC Breakout ScannerIntroducing the GTC Breakout Scanner – Your Ultimate Market Radar!
Stay ahead of market moves with the GTC Breakout Scanner, a powerful TradingView indicator designed to detect momentum shifts, identify breakouts, and optimize your entries and exits like never before.
🔹 Multi-Coin Screener – Get real-time rate-of-change (ROC) alerts across multiple assets in one view.
🔹 AI-Enhanced Analysis – Adaptive K-means clustering fine-tunes overbought and oversold levels dynamically.
🔹 Precision Alerts – Detect bullish and bearish breakouts with customizable thresholds.
🔹 Over-Extended Integration – Visualize price movements with dynamic upper and lower bands for added confirmation.
Whether you're a scalper, swing trader, or long-term investor, the GTC Breakout Scanner empowers you with instant insights to catch high probability opportunities before the crowd.
🚀 Upgrade your trading strategy today with the GTC Breakout Scanner! 🚀
The GTC Breakout Scanner indicator is ideal for traders who rely on momentum, trend shifts, and volatility-based strategies. Here are the key types of traders who would benefit the most:
🔥 1. Momentum Traders
The indicator tracks the Rate of Change (ROC) and alerts when an asset’s price momentum is shifting.
Traders looking for explosive price movements can spot early bullish or bearish signals before major trends develop.
⚡ 2. Swing Traders
The scanner tracks multiple cryptocurrencies and flags high-probability reversals based on historical price action.
The adjustable overbought/oversold zones adapt dynamically using K-means clustering, making it useful for precision entry and exit points.
🚀 3. Trend-Following Traders
The inclusion of Bollinger Bands with dynamic thresholds allows traders to identify trend continuation or breakdowns.
The adaptive OB/OS levels help in recognizing trend exhaustion or potential breakout setups.
🎯 4. Mean Reversion Traders
Traders who capitalize on price deviations from the mean will benefit from the indicator’s multi-timeframe analysis and ability to detect extreme price movements.
Alerts on overbought/oversold conditions help traders enter at ideal pullback levels.
⏳ 5. Crypto Scalpers & Day Traders
The bullish and bearish momentum shifts make it a great tool for short-term traders looking to capitalize on fast moves.
The multi-coin screener lets traders monitor several assets at once, ensuring they don’t miss high-volatility setups.
This indicator is a powerful all-in-one scanner that helps traders spot momentum shifts, trend reversals, and breakout opportunities across multiple cryptocurrencies. Whether you're a swing trader, trend follower, scalper, or momentum trader, the GTC Breakout Scanner indicator provides precision market insights. 🚀🔥
⚠️ Disclaimer:
The GTC Breakout Scanner is a powerful tool designed to enhance your market analysis by providing real-time insights on market shifts. However, it is not a replacement for comprehensive market analysis or prudent risk management. Always combine this tool with thorough research, technical analysis, and a well-structured trading plan. Past performance is not indicative of future results. Trade responsibly.
Minimalist Trading Plan ChecklistMinimalist Trading Plan Checklist
A clean, customizable indicator to monitor your trading plan.
Features:
Checklist: Monitor bias, narrative, context, entry.
Timeframes: Set or leave blank (❌).
Risk-Reward Ratio: Display in a neat box.
News Checkbox: Toggle for high-impact events.
Customizable: Adjust colors and layout.
Stay organized and focused on your strategy with this minimalist tool.
Short and sweet! Let me know if you need further tweaks. 😊
Avg.ROC TableThis indicator calculates the average Rate of Change (ROC) for up to 30 user-selected assets over a specified number of candles. It then ranks the assets—assigning rank 1 to the asset with the highest average ROC (strongest momentum) and rank 30 to the asset with the lowest. The results are displayed in a clean, easy-to-read table split into two stacks of 15 assets each, allowing you to quickly see which assets are performing best.
Psychological LineThe Psychological Line (PL) Indicator is a sentiment-based oscillator that measures the market's psychological strength by comparing the number of up-closing bars to the total number of bars over a specified period. It provides insight into market sentiment, helping traders identify overbought or oversold conditions, trend strength, and potential reversals.
Description for Your Public Release (TradingView/NinjaTrader)
Indicator Name: Psychological Line (PL)
Category: Oscillator / Market Sentiment
What It Does:
The Psychological Line calculates the percentage of bars closing higher than the previous bar over a defined period.
It ranges between 0% and 100%, where values above 70% suggest overbought conditions, and values below 30% indicate oversold conditions.
It helps traders identify trend strength and possible reversal points when combined with other indicators like moving averages or volume analysis.
How to Use It:
Overbought & Oversold Levels: A high PL value (e.g., above 70) suggests bullish exhaustion, while a low value (below 30) signals bearish exhaustion.
Trend Confirmation: When PL moves in the direction of price trends, it confirms market momentum.
Divergence Signals: If price makes a new high, but PL does not, it can indicate a weakening trend (bearish divergence) and vice versa for bullish divergence.
Customization:
Adjustable lookback period for sensitivity tuning.
Optional smoothing (e.g., moving average) for noise reduction.
Best Used For:
Short-term intraday trading to identify extreme market conditions.
Swing trading for catching momentum shifts.
Confluence trading when combined with trend-following indicators.
Binance Leveraged Liquidations ApproximationBinance Leveraged Liquidations Approximation (BLLA)
The Binance Leveraged Liquidations Approximation (BLLA) indicator is a tool designed to estimate liquidation levels for leveraged trading on Binance. It calculates the approximate prices at which liquidations could occur for long and short positions, based on the entry price and leverage levels selected by the user.
Key Features:
Liquidation Level Calculation:
Estimates liquidation prices for multiple leverage levels (e.g., 20x, 10x, 5x, etc.).
Supports both long and short positions.
Customization:
Allows the user to manually input the entry price or automatically calculate it as the midpoint between the low and high of a defined period.
Leverage levels are configurable, enabling the indicator to adapt to different trading strategies.
Clear Visualization:
Displays liquidation levels directly on the chart, with labels indicating the corresponding leverage.
Uses distinct colors for long positions (yellow) and short positions (blue).
Recommended Use:
Risk Management: Helps identify liquidation levels to adjust stop-loss orders and manage risk in leveraged trading.
Market Analysis: Provides a quick overview of key levels where significant price movements might occur due to mass liquidations.
Settings:
Entry Price: Enter manually or leave at 0.0 to calculate automatically.
Leverage: Configure desired leverage levels (e.g., 20x, 10x, 5x, etc.).
Transparency and Display: Adjust the transparency of the lines and the number of bars displayed.
Quick Instructions:
Add the indicator to your chart.
Enter the entry price or leave it at 0.0 to calculate automatically.
Configure leverage levels according to your strategy.
Observe liquidation levels on the chart and use them to manage your risk.
Note:
This indicator is an approximation and does not guarantee absolute accuracy of liquidation levels, as these may vary depending on market conditions and exchange policies.
The Investment Clock Orbital GraphThe Investment Clock Orbital Graph is an advanced visualization tool designed to help traders and investors track economic cycles using a dynamic scatter plot of GDP growth vs. CPI inflation rates.
This indicator is a fusion of two powerful TradingView indicators:
LuxAlgo ’s Relative Strength Scatter Plot – A robust scatter plot for tracking relative strength.
The Investment Clock Indicator – A cycle-based approach to market rotation. This indicator contains more information regarding The Investment Clock.
By combining these approaches, the Investment Clock Orbital Graph enables traders to visualize economic momentum and inflationary trends in a unique, orbital-style scatter plot.
Key Features & Improvements
Orbital Graph Representation – Displays GDP growth and CPI inflation as a dynamic, evolving scatter plot, showing how the economy moves through different phases.
Quadrant-Based Market Regimes – Identifies four key economic phases:
1)🔥 Overheating (High Growth, High Inflation)
2)📉 Stagflation (Low Growth, High Inflation)
3)🤒 Recovery (High Growth, Low Inflation)
4)🎈 Reflation (Low Growth, Low Inflation)
Data-Driven Analysis – Utilizes FRED (Federal Reserve Economic Data) for accurate real-world GDP & CPI data.
Trailing Path of Economic Evolution – Tracks historical economic cycles over time to show momentum and cyclical movements.
Customizable Parameters – Set sustainable GDP growth and inflation thresholds, adjust trail length, and fine-tune scatter plot resolution.
Auto-Labeled Quadrants & Revised Accurate Market Guidance – Each quadrant includes newly updated tooltips and annotations (like ETF suggestions) to help traders make informed decisions.
Live Macro Forecasting Tool – Helps traders anticipate future market conditions, rate hikes/cuts, and sector rotations.
How to Use for Trading Decisions
The Investment Clock Orbital Graph helps traders and macro investors by identifying market phases and providing insights into asset class performance during different economic conditions.
📌 Step 1: Identify the Current Quadrant
Locate the most recent point on the orbital graph to see if the economy is in Overheating, Stagflation, Recovery, or Reflation.
📌 Step 2: Forecast Market Trends
The trajectory of the points can predict upcoming economic shifts:
Overheating → Stagflation ➡️ Expect economic slowdowns, bearish stock markets.
Stagflation → Reflation ➡️ Interest rate cuts likely, bonds and defensive stocks perform well.
Reflation → Recovery ➡️ Risk-on rally, technology and cyclicals perform best.
Recovery → Overheating ➡️ Commodities surge, inflation rises, and central banks intervene.
📌 Step 3: Align Trading & Investing Strategies
🔥 Overheating – Favor commodities & energy (Oil, Industrial Stocks, Materials).
📉 Stagflation – Favor defensive assets (Cash, Utilities, Healthcare).
🤒 Recovery – Favor growth stocks (Technology, Consumer Discretionary).
🎈 Reflation – Favor bonds, value stocks, and financials.
📌 Step 4: Monitor Trends Over Time
The indicator visualizes economic movement over multiple months, allowing traders to confirm long-term trends vs. short-term noise.
The Investment Clock Orbital Graph is an essential macro trading tool, providing a real-time visualization of economic conditions. By tracking GDP growth vs. CPI inflation, traders and investors can align their portfolios with major macroeconomic shifts, predict sector rotations, and anticipate central bank policy changes.
Democratic MultiAsset Strategy [BerlinCode42]Happy Trade,
Intro
Included Trade Concept
Included Indicators and Compare-Functions
Usage and Example
Settings Menu
Declaration for Tradingview House Rules on Script Publishing
Disclaimer
Conclusion
1. Intro
This is the first multi-asset strategy available on TradingView—a market breadth multi-asset trading strategy with integrated webhooks, backtesting capabilities, and essential strategy components like Take Profit, Stop Loss, Trailing, Hedging, Time & Session Filters, and Alerts.
How It Trades? At the start of each new bar, one asset from a set of eight is selected to go long or short. As long there is available cash and the selected asset meets the minimum criteria.
The selection process works through a voting system, similar to a democracy. Each asset is evaluated using up to five indicators that the user can choose. The asset with the highest overall voting score is picked for the trade. If no asset meets all criteria, no trade is executed, and the cash reserve remains untouched for future opportunities.
How to Set Up This Market Breadth Strategy:
Choose eight assets from the same market (e.g., cryptos or big tech stocks).
Select one to five indicators for the voting system.
Refine the strategy by adjusting Take Profit, Stop Loss, Hedging, Trailing, and Filters.
2. Voting as the included Trade Concept
The world of financial trading is filled with both risks and opportunities, and the key challenge is to identify the right opportunities, manage risks, and do both right on time.
There are countless indicators designed to spot opportunities and filter out risks, but no indicator is perfect—they only work statistically, hitting the right signals more often than the wrong ones.
The goal of this strategy is to increase the accuracy of these Indicators by:
Supervising a larger number of assets
Filtering out less promising opportunities
This is achieved through a voting system that compares indicator values across eight different assets. It doesn't just compare long trades—it also evaluates long vs. short positions to identify the most promising trade.
Why focus on one asset class? While you can randomly select assets from different asset classes, doing so prevents the algorithm from identifying the strongest asset within a single class. Think about, within one asset class there is often a major trend whereby different asset classes has not really such behavior.
And, you don’t necessarily need trading in multiple classes—this algorithm is designed to generate profits in both bullish and bearish markets. So when ever an asset class rise or fall the voting system ensure to jump on the strongest asset. So this focusing on one asset class is an integral part of this strategy. This all leads to more stable and robust trading results compared to handling each asset separately.
3. Included Indicators and Compare-Functions
You can choose from 17 different indicators, each offering different types of signals:
Some provide a directional signal
Some offer a simple on/off signal
Some provide both
Available Indicators: RSI, Stochastic RSI, MFI, Price, Volume, Volume Oscillator, Pressure, Bilson Gann Trend, Confluence, TDI, SMA, EMA, WMA, HMA, VWAP, ZLMA, T3MA
However, these indicators alone do not generate trade signals. To do so, they must be compared with thresholds or other indicators using specific comparison functions.
Example – RSI as a Trade Signal. The RSI provides a value between 0 and 100. A common interpretation is:
RSI over 80 → Signal to go short or exit a long trade
RSI under 20 → Signal to go long or exit a short trade
Here, two comparison functions and two thresholds are used to determine trade signals.
Below is the full set of available comparison functions, where: I represents the indicator’s value and A represents the comparator’s value.
I < A if I smaller A then trade signal
I > A if I bigger A then trade signal
I = A if I equal to A then trade signal
I != A if I not equal to A then trade signal
A <> B if I bigger A and I smaller B then trade signal
A >< B if I smaller A then long trade signal or if I bigger B then short trade signal
Image 1
In Image 1, you can see one of five input sections, where you define an indicator along with its function, comparator, and constants. For our RSI example, we select:
Indicator: RSI
Function: >< (greater/less than)
Comparator: Constant
Constants: A = 20, B = 80
With these settings a go short signal is triggered when RSI crosses above 80. And a go long signal is triggered when RSI crosses below 20.
Relative Strength Indicator: The RSI from the public TradingView library provides a directional trade signal. You can adjust the price source and period length in the indicator settings.
Stochastic Relative Strength Indicator: As above the Stoch RSI offers a trade signal with direction. It is calculated out of the RSI, the stochastic derivation and the SMA from the Tradingview library. You can set the in-going price source and the period length for the RSI, for the Stochastic Derivation and for the SMA as blurring in the Indicator settings section.
Money Flow Indicator: As above the MFI from the public Tradingview library offers a trade signal with direction. You can set the in-going price source and the period length in the Indicator settings section.
Price: The Price as Indicator is as simple as it can be. You can chose Open, High, Low or Close or combinations of them like HLC3 or even you can import an external Indicator. The absolute price or value can later be used to generate a trade signals when certain constant thresholds or other indicators signals are crossed.
Volume: Similar as above the Volume as Indicator offers the average volume as absolute value. You can set the period length for the smoothing and you can chose where it is presented in the base currency $ or is the other. For example the trade pair BTCUSD you can chose to present the value in $ or in BTC.
Volume Oscillator: The Volume Oscillator Indicator offers a value in the range of . Whereby a value close to 0 means that the volume is very low. A value around 1 means the volume is same high as before and Values higher as 1 means the volume is bigger then before. You can set the period length for the smoothing and you can chose where it is presented in the base currency $ or is the other. For example the trade pair BTCUSD you can chose to present the value in $ or in BTC.
Pressure Indicator: The Pressure is an adapted version of LazyBear's script (Squeeze Momentum Indicator) Pressure is a Filter that highlight bars before a bigger price move in any direction. The result are integer numbers between 0 and 4 whereby 0 means no bigger price move excepted, while 4 means huge price move expected. You can set the in-going price source and the period length in the Indicator settings section.
Bilson Gann Trend: The Bilson Gann Trend Indicator is a specific re-implementation of the widely known Bilson Gann Count Algorithm to detect Highs and Lows. On base of the last four Highs and Lows a trend direction can be calculated. It is based on 2 rules to confirm a local pivot candidate. When a local pivot candidate is confirmed, let it be a High then it looks for Lows to confirm. The result range is whereby -1 means down trend, 1 means uptrend and 0 sideways.
Confluence: The Confluence Indicator is a simplified version of Dale Legan's "Confluence" indicator written by Gary Fritz. It uses five SMAs with different periods lengths. Whereby the faster SMA get compared with the (slower) SMA with the next higher period lengths. Is the faster SMA smaller then the slower SMA then -1, otherwise +1. This is done with all SMAs and the final sum range between . Whereby values around 0 means price is going side way, Crossing under 0 means trend change from bull to bear. Is the value>2 means a strong bull trend and <-2 a strong bear trend.
Trades Dynamic Index: The TDI is an adapted version from the "Traders Dynamic Index" of LazyBear. The range of the result is whereby 2 means Top goShort, -2 means Bottom goLong, 0 is neutral, 1 is up trend, -1 is down trend.
Simple Moving Average: The SMA is the one from the Tradingview library. You can compare it with the last close price or any other moving average indicator to indicate up and down trends. You can set the in-going price source and the period length in the Indicator settings section.
Exponential Moving Average: The EMA as above is the one from the Tradingview library. You can compare it with the last close price or any other moving average indicator to indicate up and down trends. You can set the in-going price source and the period length in the Indicator settings section.
Weighted Moving Average: The WMA as above is the one from the Tradingview library. You can compare it with the last close price or any other moving average indicator to indicate up and down trends. You can set the in-going price source and the period length in the Indicator settings section.
Hull Moving Average: HMA as above is the one from the Tradingview library. You can compare it with the last close price or any other moving average indicator to indicate up and down trends. You can set the in-going price source and the period length in the Indicator settings section.
Volume Weighted Average Price: The VWAP as above is the one from the Tradingview library. You can compare it with the last close price or any other moving average indicator to indicate up and down trends. You can set the in-going price source in the Indicator settings section.
Zero Lag Moving Average: The ZLMA by John Ehlers and Ric Way describe in their paper: www.mesasoftware.com
As the other moving averages you can compare it with the last close price or any other moving average indicator to indicate up and down trends. You can set the in-going price source and the period length in the Indicator settings section.
T3 Moving Average: The T3MA is the one from the Tradingview library. You can compare it with the last close price or any other moving average indicator to indicate up and down trends. You can set the in-going price source, the period length and a factor in the Indicator settings section. Keep this factor at 1 and the T3MA swing in the same range as the input. Bigger 1 and it swings over. Factors close to 0 and the T3MA becomes a center line.
All MA's following the price. The function to compare any MA Indicators would be < or > to generate a trade direction. An example follows in the next section.
4. Example and Usage
In this section, you see how to set up the strategy using a simple example. This example was intentionally chosen at random and has not undergone any iterations to refine the trade results.
We use the RSI as the trade signal indicator and apply a filter using a combination of two moving averages (MAs). The faster MA is an EMA, while the slower MA is an SMA. By comparing these two MAs, we determine a trend direction. If the faster MA is above the slower MA the trend is upwards etc. This trend direction can then be used for filtering trades.
The strategy follows these rules:
If the RSI is below 20, a buy signal is generated.
If the RSI is above 80, a sell signal is generated.
However, this RSI trade signal is filtered so that a trade is only given the maximum voting weight if the RSI trade direction aligns with the trend direction determined by the MA filter.
So first, you need to add your chosen assets or simply keep the default ones. In Image 2, you can see one of the eight asset input sections.
Image 2
This strategy offers some general trade settings that apply equally to all assets and some asset-specific settings. This distinction is necessary because some assets have higher volatility than others, requiring asset-specific Take Profit and Stop Loss levels.
Once you have made your selections, proceed to the Indicators and Compare Functions for the voting. Image 3 shows an example of this setup.
Image 3
Later on go to the Indicator specific settings shown in Image 4 to refine the trade results.
Image 4
For refine the trade results take also a look on the result summary table, development of capital plot, on the list of closed and open trades and screener table shown in Image 5.
Image 5
To locate any trade for any asset in the chronological and scroll-able trade list, each trade is marked with a label:
An opening label displaying the trade direction, ticker ID, trade number, invested amount, and remaining cash reserves.
A closing label showing the closing reason, ticker ID, trade number, trade profit (%), trade revenue ($), and updated cash reserves.
Additionally: a green line marks each Take Profit level. An orange line indicates the (trailing) Stop Loss.
The summary table in the bottom-left corner provides insights into how effective the trade strategy is. By analyzing the trade list, you can identify trades that should be avoided.
To find those bad trades on the chart, use the trade number or timestamp. With replay mode, you can go back in time to review a specific trade in detail.
Image 6
In Image 6, you can see an example where replay mode and the start time filter are used to display specific trades within a narrow time range. By identifying a large number of bad trades, you may recognize patterns and formulate conditions to avoid them in the future.
This is the backtesting tool that allows you to develop and refine your trading strategy continuously. With each iteration—from general adjustments to detailed optimizations—you can use these tools to improve your strategy. You can:
Add other indicators with trade signals and direction
Add more indicators signals as filter
Adjust the settings of your indicators to optimize results
Configure key strategy settings, such as Time and Session Filters, Stop Loss, Take Profit, and more
By doing so, you can identify a profitable strategy and its optimal settings.
5. Settings Menu
In the settings menu you will find the following high-lighted sections. Most of the settings have a i mark on their right side. Move over it with the cursor to read specific explanation.
Backtest Results: Here you can decide about visibility of the trade list, of the Screener Table and of the Results Summary. And the colors for bullish, side ways, bearish and no signal. Go above and see Image 5.
Time Filter: You can set a Start time or deactivate it by leave it unhooked. The same with End Time and Duration Days . Duration Days can also count from End time in case you deactivate Start time.
Session Filter: Here, you can chose to activate trading on a weekly basis, specifying which days of the week trading is allowed and which are excluded. Additionally, you can configure trading on a daily basis, setting the start and end times for when trades are permitted. If activated, no new trades will be initiated outside the defined times and sessions.
Trade Logic: Here you can set an extra time frame for all indicators. You can enable Longs or Shorts or both trades.
The min Criteria percentage setting defines the minimum number of voices an asset has to get to be traded. So if you set this to 50% or less also weak winners of the voting get traded while 100% means that the winner of the voting has to get all possible voices.
Additionally, you have the option to delay entry signals. This feature is particularly useful when trade signals exhibit noise and require smoothing.
Enable Trailing Stop and force the strategy to trade only at bar closing. Other-ways the strategy trade intrabar, so when ever a voting present an asset to trade, it will send the alert and the webhooks.
The Hedging is basic as shown in the following Image 7 and serves as a catch if price moves fast in the wrong direction. You can activate a hedging mechanism, which opens a trade in the opposite direction if the price moves x% against the entry price. If both the Stop Loss and Hedging are triggered within the same bar, the hedging action will always take precedence.
Image 6
Indicators to use for Trade Signal Generating: Here you chose the Indicators and their Compare Function for the Voting . Any activated asset will get their indicator valuation which get compared over all assets. The asset with the highest valuation is elected for the trade as long free cash is present and as long the minimum criteria are met.
The Screener Table will show all indicators results of the last bar of all assets. Those indicator values which met the threshold get a background color to high light it. Green for bullish, red for bearish and orange for trade signals without direction. If you chose an Indicator here but without any compare function it will show also their results but with just gray background.
Indicator Settings: here you can setup the indicator specific settings. for deeper insights see 3. Included Indicators and Compare-Functions .
Assets, TP & SL Settings: Asset specific settings. Chose here the TickerID of all Assets you wanna trade. Take Profit 1&2 set the target prices of any trade in relation to the entry price. The Take Profit 1 exit a part of the position defined by the quantity value. Stop Loss set the price to step out when a trade goes the wrong direction.
Invest Settings: Here, you can set the initial amount of cash to start with. The Quantity Percentage determines how much of the available cash is allocated to each trade, while the Fee percentage specifies the trading fee applied to both opening and closing positions.
Webhooks: Here, you configure the License ID and the Comment . This is particularly useful if you plan to use multiple instances of the script, ensuring the webhooks target the correct positions. The Take Profit and Stop Loss values are displayed as prices.
6. Declaration for Tradingview House Rules on Script Publishing
The unique feature of this Democratic Multi-Asset Strategy is its ability to trade multiple assets simultaneously. Equipped with a set of different standard Indicators, it's new democratic Voting System does more robust trading decisions compared to single-asset. Interchangeable Indicators and customizable strategy settings allowing for a wide range of trading strategies.
This script is closed-source and invite-only to support and compensate for over a year of development work. Unlike other single asset strategies, this one cannot use TradingView's strategy functions. Instead, it is designed as an indicator.
7. Disclaimer
Trading is risky, and traders do lose money, eventually all. This script is for informational and educational purposes only. All content should be considered hypothetical, selected post-factum and is not to be construed as financial advice. Decisions to buy, sell, hold, or trade in securities, commodities, and other investments involve risk and are best made based on the advice of qualified financial professionals. Past performance does not guarantee future results. Using this script on your own risk. This script may have bugs and I declare don't be responsible for any losses.
8. Conclusion
Now it’s your turn! Chose an asset class and pick 8 of them and chose some indicators to see the trading results of this democratic voting system. Refine your multi-asset strategy to favorable settings. Once you find a promising configuration, you can set up alerts to send webhooks directly. Configure all parameters, test and validate them in paper trading, and if results align with your expectations, you even can deploy this script as your trading bit.
Cheers
Risk ManagementRisk Management Script Description
What it does
This Pine Script indicator offers comprehensive risk management tools for traders on TradingView. The script helps users plan and visualize their trades with precise risk parameters, focusing on protecting capital while optimizing position sizes.
Key Features
Dual Calculation Modes:
Dynamic Margin: Calculates the optimal margin required when using a fixed leverage
Dynamic Leverage: Automatically adjusts leverage to limit risk exposure to the specified amount
Visual Trade Planning:
Displays rectangular zones for entry, stop loss, and take profit levels
Clear labels showing price points and trade direction (Long/Short)
Customizable visual settings (colors, transparency, label visibility)
Advanced Risk Calculations:
Precise position sizing based on your maximum risk tolerance
Automatic calculation of optimal contracts/position size
Includes trading fees in all calculations for real-world accuracy
Risk/Reward ratio visualization and management
Comprehensive Dashboard:
Interactive table displaying all critical trade parameters
Shows Entry Price, Target, Stop Loss with calculated ROI percentages
Displays Leverage, Margin requirements, and Maximum Loss
Liquidation warnings to prevent account blow-ups
Customizable appearance (position, light/dark theme)
Why It's Valuable for Risk Management
Capital Preservation: By defining your maximum acceptable loss upfront, the script ensures you never risk more than planned
Emotion-Free Trading: Pre-planned position sizes and take-profit levels help remove emotional decision-making during active trades
Realistic Calculations: Incorporates trading fees into all calculations, providing accurate profit/loss projections
Liquidation Prevention: Alerts you when your settings might lead to liquidation risk, helping avoid catastrophic losses
Holistic Approach: Manages all aspects of risk: position size, leverage, margin requirements, and risk/reward ratios
Flexibility: Works with any trading strategy or timeframe, providing consistent risk management across different market conditions
Visual Clarity: Makes complex risk calculations easy to understand through clear visual representation
This script is ideal for both novice traders learning proper risk management and experienced traders seeking to optimize their position sizing and risk parameters in a systematic way.
ARSI | QuantumResearch🚀 Adaptative RSI (ARSI) | QuantumResearch 🚀
The Adaptative RSI (ARSI) is an advanced momentum-based oscillator that enhances traditional RSI analysis by incorporating a dynamic smoothing factor and adaptive thresholding. This innovative approach allows the indicator to dynamically adjust to changing market conditions, reducing lag and improving responsiveness to trend shifts.
🔍 Why ARSI?
Unlike conventional RSI, ARSI dynamically adapts its smoothing factor based on market volatility. This allows for better trend identification, earlier entries, and improved exits—all without unnecessary noise.
🔗 Key Features:
✅ Adaptative RSI Calculation – The smoothing factor automatically adjusts based on RSI’s distance from equilibrium.
✅ Dynamic Threshold Mechanism – Uses standard deviation-based adaptive bands to define overbought/oversold levels dynamically.
✅ Trend Detection & Confirmation – ARSI reacts quickly to trend shifts, helping traders catch early moves and avoid unnecessary drawdowns.
✅ Customizable Visuals – Multiple color schemes and visual overlays to match different trading styles.
✅ Alerts for Trend Reversals – Stay ahead with real-time alerts for bullish and bearish trend shifts.
📊 How ARSI Helps in Trading
📈 Catch Early Trends – The oscillator helps identify breakouts before they become obvious, allowing for early positioning in emerging trends.
📉 Avoid Drawdowns – The indicator signals early exits, helping to protect capital before major market sell-offs.
📊 Enhance Confirmation – Can be used alongside other momentum indicators for better trade validation.
📊 Real-World Application of ARSI
🟢 ETH: Avoiding a 50% Drawdown
🔹 This ETH chart demonstrates how ARSI signaled an early exit, preventing a massive drawdown of nearly 50%.
🟢 SOL: Identifying Early Trends
🔹 ARSI caught early bullish momentum on SOL, allowing traders to enter the uptrend before the major rally.
🟢 BTC: Exit Before the COVID Crash
🔹 ARSI issued a timely exit before the COVID crash, helping traders avoid a massive market collapse.
🟢 TOTAL: Early Exit Before a Major Market Drop
🔹 The indicator provided a clear warning signal before the market downturn, allowing risk mitigation.
🟢 DOGE: Trend Continuation Confirmation
🔹 ARSI successfully confirmed trend continuation on DOGE, keeping traders aligned with the market move.
⚠️ Disclaimer
The content provided is for informational and educational purposes only. Nothing contained within should be considered financial, investment, legal, or other professional advice. Past performance does not guarantee future results. Trading cryptocurrencies involves substantial risk of loss and is not suitable for every investor.
🔥 Enhance your trading with the Adaptive RSI (ARSI) | QuantumResearch – Stay ahead of the trend! 🚀
CAPM Alpha & BetaThe CAPM Alpha & Beta indicator is a crucial tool in finance and investment analysis derived from the Capital Asset Pricing Model (CAPM) . It provides insights into an asset's risk-adjusted performance (Alpha) and its relationship to broader market movements (Beta). Here’s a breakdown:
1. How Does It Work?
Alpha:
Definition: Alpha measures the portion of an investment's return that is not explained by market movements, i.e., the excess return over and above what the market is expected to deliver.
Purpose: It represents the value a fund manager or strategy adds (or subtracts) from an investment’s performance, adjusting for market risk.
Calculation:
Alpha is derived from comparing actual returns to expected returns predicted by CAPM:
Alpha = Actual Return − (Risk-Free Rate + β × (Market Return − Risk-Free Rate))
Alpha = Actual Return − (Risk-Free Rate + β × (Market Return − Risk-Free Rate))
Interpretation:
Positive Alpha: The investment outperformed its CAPM prediction (good performance for additional value/risk).
Negative Alpha: The investment underperformed its CAPM prediction.
Beta:
Definition: Beta measures the sensitivity of an asset's returns relative to the overall market's returns. It quantifies systematic risk.
Purpose: Indicates how volatile or correlated an investment is relative to the market benchmark (e.g., S&P 500).
Calculation:
Beta is computed as the ratio of the covariance of the asset and market returns to the variance of the market returns:
β = Covariance (Asset Return, Market Return) / Variance (Market Return)
β = Variance (Market Return) Covariance (Asset Return, Market Return)
Interpretation:
Beta = 1: The asset’s price moves in line with the market.
Beta > 1: The asset is more volatile than the market (higher risk/higher potential reward).
Beta < 1: The asset is less volatile than the market (lower risk/lower reward).
Beta < 0: The asset moves inversely to the market.
2. How to Use It?
Using Alpha:
Portfolio Evaluation: Investors use Alpha to gauge whether a portfolio manager or a strategy has successfully outperformed the market on a risk-adjusted basis.
If Alpha is consistently positive, the portfolio may deliver higher-than-expected returns for the given level of risk.
Stock/Asset Selection: Compare Alpha across multiple securities. Positive Alpha signals that the asset may be a good addition to your portfolio for excess returns.
Adjusting Investment Strategy: If Alpha is negative, reassess the asset's role in the portfolio and refine strategies.
Using Beta:
Risk Management:
A high Beta (e.g., 1.5) indicates higher sensitivity to market movements. Use such assets if you want to take on more risk during bullish market phases or expect higher returns.
A low Beta (e.g., 0.7) indicates stability and is useful in diversifying risk in volatile or bearish markets.
Portfolio Diversification: Combine assets with varying Betas to achieve the desired level of market responsiveness and smooth out portfolio volatility.
Monitoring Systematic Risk: Beta helps identify whether an investment aligns with your risk tolerance. For example, high-Beta stocks may not be suitable for conservative investors.
Practical Application:
Use both Alpha and Beta together:
Assess performance with Alpha (excess returns).
Assess risk exposure with Beta (market sensitivity).
Example: A stock with a Beta of 1.2 and a highly positive Alpha might suggest a solid performer that is slightly more volatile than the market, making it a suitable pick for risk-tolerant, return-maximizing investors.
In conclusion, the CAPM Alpha & Beta indicator gives a comprehensive view of an asset's performance and risk. Alpha enables performance evaluation on a risk-adjusted basis, while Beta reveals the level of market risk. Together, they help investors make informed decisions, build optimal portfolios, and align investments with their risk-return preferences.
Nifty/Gold RatioPrice of NIFTY in GOLD. Highs indicate that Gold is getting cheaper, Lows indicate Nifty is getting cheaper.
Major Rotation System | QuantumResearch🚀 MRS | QuantumResearch 🚀
The Major Rotation System is an advanced quantitative system designed to dynamically allocate between Bitcoin (BTC), Ethereum (ETH), and Solana (SOL) based on a proprietary Trend Position Indicator (TPI) framework. The system monitors relative strength across assets and adapts allocations to maximize edge in trending conditions while avoiding significant drawdowns.
This tool is particularly valuable for long-term investors and active traders looking for a data-driven way to enhance their portfolio allocation without relying on subjective decision-making.
🔍 How It Works
The system continuously evaluates the strength of BTC, ETH, and SOL by applying the AVWO. This oscillator calculates how each asset is performing relative to its volume-weighted moving average and applies a dynamic threshold mechanism to identify bullish or bearish trends.
The Key Features:
✅ Asset Rotation Based on Strength – The system allocates to BTC, ETH, or SOL depending on which asset exhibits the strongest positive momentum signals.
✅ Adaptive Trend Position Indicator (TPI) – The TPI system scores each asset based on its recent performance, assigning higher weight to assets leading in momentum while reducing allocation to underperforming assets.
✅ Risk-Aware Positioning – When all assets show weak momentum, the system defaults to a cash position, mitigating unnecessary exposure in high-risk environments.
✅ Live Performance Tracking & Score Metrics – Displays Sharpe Ratio, Sortino Ratio, Omega Ratio, and Max Drawdown, providing users with clear risk/reward insights.
✅ Equity Growth Representation – The system tracks portfolio equity over time, displaying its growth relative to a Buy & Hold BTC strategy since 2023.
📊 Equity Performance Interpretation
The system plots a tracking equity curve that represents growth over time.
🔹 Example interpretation:
An equity of 12 means the system has achieved a 12X return since 2023.
An equity of 5 means the system has achieved a 5X return compared to simply holding BTC over the same period.
📊 Tracking Equity Visualization:
📌 How to Read the Scoring System
The system dynamically assigns scores to BTC, ETH, and SOL based on their score and TPI:
✅ Score of 2 → Strongest asset (highest allocation priority)
✅ Score of 1 → Secondary asset (moderate allocation)
✅ Score of 0 → Weak/no allocation
✅ If all assets score low, the system moves into cash to avoid market downturns
📈 Current Recommended Positioning
💡 The system recommends an adaptive portfolio allocation based on real-time market conditions.
⚠️ Disclaimer
The content provided is for informational and educational purposes only. Nothing contained within should be considered financial, investment, legal, or other professional advice. Past performance does not guarantee future results. Trading cryptocurrencies involves substantial risk of loss and is not suitable for every investor.
🔥 Maximize your market edge with the MRS | QuantumResearch system! 🚀
Average Daily LiquidityIt is important to ensure sufficient stock trading liquidity so that you have sufficient volume to enter the trade and most importantly sufficient liquidity to exit the trade. Because daily trading liquidity can jump around so much by price changes and volume changes, it is important to smooth out the liquidity by using a moving average. Some use a 5 days (trading week) moving average, others use 10 day (2 weeks), 20 day ("month") and some use 65 day (quarter). The default is 10 days based upon the work of Colin Nicholson (The Aggressive Investor and Building Wealth in the Stock Market). Liquidity line changes color dependent upon the chart background luminescence. The amount you are planning to invest in a stock should have a liquidity of 10 (default) times that amount.
PnL MonitorThe PnL Monitor is a customizable tool designed to help traders track the Profit and Loss (PnL) of up to 20 currency pairs or assets in real-time. This script provides a clear and organized table that displays the entry price, and PnL percentage for each pair, making it an essential tool for monitoring open positions or tracking potential trades.
Key Features:
Multi-Asset Tracking:
Monitor up to 20 currency pairs or assets simultaneously. Simply input the pair symbol and your entry price, and the script will calculate the PnL in real-time.
Dynamic Table Positioning:
Choose where the table appears on your chart with the Table Position input. Options include:
Top Left
Top Right
Bottom Left
Bottom Right
Real-Time PnL Calculation:
The script fetches the current price of each pair and calculates the PnL percentage based on your entry price. Positive PnL is highlighted in green, while negative PnL is highlighted in red.
Exchange and Pair Separation:
The script automatically separates the exchange name (if provided) from the pair symbol, making it easier to identify the source of the data.
Customizable Inputs:
Add or remove pairs as needed.
Leave the price field blank for pairs you don’t want to track.
How to Use:
Input Your Pairs:
In the script settings, input the symbol of the pair (e.g., NASDAQ:AAPL or BTCUSD) and your entry price. Leave the price field blank for pairs you don’t want to track.
Choose Table Position:
Select where you want the table to appear on your chart.
Monitor PnL:
The table will automatically update with the current price and PnL percentage for each pair.
Why Use This Script?
Efficiency: Track multiple pairs in one place without switching charts.
Clarity: Easily identify profitable and losing positions at a glance.
Flexibility: Customize the table to fit your trading style and preferences.
Ideal For:
Forex, crypto, and stock traders managing multiple positions.
Position Size CalculatorPosition Size Calculator – Trading Risk Management Tool
📌 Overview:
The Position Size Calculator is a powerful and easy-to-use TradingView script designed to help traders calculate optimal position sizing, stop-loss levels, and potential profit/loss before entering a trade. By using this tool, traders can effectively manage risk and maximize reward with precise capital allocation.
🛠 Key Features:
✅ User-Friendly Inputs: Customize your entry price, portfolio size, position size, stop-loss %, and risk/reward ratio.
✅ Automatic Position Sizing: Calculates the capital required, quantity to buy, stop-loss, and target price dynamically.
✅ Risk & Reward Calculation: Displays potential profit/loss and risk on total capital (%) for better trade decisions.
✅ Customizable Display Options: Supports dark mode, adjustable table size, and flexible positioning.
✅ Visual Markers (Optional): Plots horizontal rays for stop-loss and target levels on the chart for better visualization.
✅ Optimized for All Markets: Works seamlessly with stocks, forex, crypto, and commodities.
🎯 How to Use:
1️⃣ Enter your entry price and portfolio amount.
2️⃣ Adjust the position size (%) and stop-loss % according to your risk appetite.
3️⃣ Set the risk/reward ratio to determine the profit target.
4️⃣ The script automatically calculates capital required, quantity to buy, stop-loss & target prices.
5️⃣ Use the display table to review trade metrics before executing your order.
🚀 Why Use This Script?
🔹 Helps traders avoid over-leveraging and control risk effectively.
🔹 Ensures consistent position sizing for disciplined trading.
🔹 Works across any time frame and instrument on TradingView.
🔹 Perfect for beginners and experienced traders to improve trade management.
⚡ Maximize your trading potential with proper risk management! Add this script to your chart and start making smarter trade decisions today! 🚀
Multi Asset Similarity MatrixProvides a unique and visually stunning way to analyze the similarity between various stock market indices. This script uses a range of mathematical measures to calculate the correlation between different assets, such as indices, forex, crypto, etc..
Key Features:
Similarity Measures: The script offers a range of similarity measures to choose from, including SSD (Sum of Squared Differences), Euclidean Distance, Manhattan Distance, Minkowski Distance, Chebyshev Distance, Correlation Coefficient, Cosine Similarity, Camberra Index, Mean Absolute Error (MAE), Mean Squared Error (MSE), Lorentzian Function, Intersection, and Penrose Shape.
Asset Selection: Users can select the assets they want to analyze by entering a comma-separated list of tickers in the "Asset List" input field.
Color Gradient: The script uses a color gradient to represent the similarity values between each pair of indices, with red indicating low similarity and blue indicating high similarity.
How it Works:
The script calculates the source method (Returns or Volume Modified Returns) for each index using the sec function.
It then creates a matrix to hold the current values of each index over a specified window size (default is 10).
For each pair of indices, it applies the selected similarity measure using the select function and stores the result in a separate matrix.
The script calculates the maximum and minimum values of the similarity matrix to normalize the color gradient.
Finally, it creates a table with the index names as rows and columns, displaying the similarity values for each pair of indices using the calculated colors.
Visual Insights:
The indicator provides an intuitive way to visualize the relationships between different assets. By analyzing the color-coded tables, traders can gain insights into:
Which assets are highly correlated (blue) or uncorrelated (red)
The strength and direction of these correlations
Potential trading opportunities based on similarities and differences between assets
Overall, MASM is a powerful tool for market analysis and visualization, offering a unique perspective on the relationships between various assets.
~llama3
Advanced Portfolio Equity [The Quant Science]Have you always dreamed of building investment portfolios on TradingView?
With our dedicated portfolio management suite, you can build investment portfolios and analyze advanced quantitative data directly on TradingView.
This specialized software allows you to build the equity curve of a buy & hold portfolio and compare its performance against a benchmark.
What is a buy & hold portfolio?
A buy & hold investment portfolio (Passive Investing) is a strategy in which an investor purchases financial assets (stocks, ETFs, bonds, cryptocurrencies, etc.) and holds them for the long term, regardless of market fluctuations. The goal is to benefit from long-term market growth, avoiding market timing and minimizing transaction costs.
Components
The software includes:
Dashboard: An interactive UI that allows you to manage software parameters without writing source code.
Visual Indicator: An advanced chart displaying the composition and performance of the portfolio.
How to build the portfolio equity?
1) Launch the software and set the capital.
Choose between fixed or custom capital. This value represents the total size of the portfolio. For example, setting Fixed $10,000 means the software will calculate performance based on a $10,000 portfolio.
2) Open the UI dashboard and configure portfolio costs.
Portfolio costs are applied as a percentage and can include spreads, opening and closing fees, commissions, and other expenses. Estimate your portfolio’s cost percentage and enter it in the Cost Configuration section.
3) Set the benchmark for your portfolio.
For example, BTC/USDT if you operate in the cryptocurrency sector, or NASDAQ if your portfolio mainly consists of U.S. tech stocks. The benchmark helps evaluate whether your portfolio is outperforming or underperforming compared to a specific market index or sector.
4) Configure the Asset Allocation.
Select the assets and define their percentage weight within the portfolio. The total portfolio weight must always sum to 100%. If the portfolio is overweighted or underweighted, the software will display an error notification.
What data does the software display?
1) Portfolio equity curve , highlighting growth and decline phases.
2) Equity comparison with the benchmark’s performance.
Additional Features
1) Change the timeframe to increase or decrease the indicator’s scale.
2) Adjust the date period analysis from the UI dashboard to focus on specific historical periods. This feature allows you to analyze how the portfolio behaves under different market conditions.
Performance Analysis by Period
2025 – Year to Date
2024-2025
2023-2024
2022-2023
2020-2025
How to select the ideal portfolio?
Choosing the ideal portfolio depends on many factors, many of which are personal and vary from investor to investor. However, from a quantitative perspective, an optimal portfolio should include a basket of assets that outperform the benchmark. Portfolios that generate slightly lower returns but with less severe drawdown compared to the benchmark may be the best choice for a portfolio manager seeking a lower-risk investment.
Advantages
1) High-quality data – By leveraging TradingView’s data providers, you can create portfolios with any asset available on the platform, tracking real-time prices from your chosen exchange or broker.
2) Fast & easy portfolio creation – Build investment portfolios effortlessly using a user-friendly UI dashboard without writing a single line of code.
3) Portfolio indicator – Beyond portfolio creation, TradingView’s advanced features allow you to use the portfolio as a quantitative analysis indicator with sophisticated visual tools.
4) Performance monitoring – Track your portfolio’s performance at a glance and compare it to the benchmark.
Limitations
1) Currently, the software supports portfolios with a maximum of 12 assets.
2) The software only supports spot assets – leverage and short positions are not included.
IMPORTANT!
The selected portfolio has been built for educational purposes only to demonstrate the software’s capabilities.
Who is this suite designed for?
This suite is tailored for traders and investors who need to create and analyze investment portfolios on TradingView using a quantitative approach.
Asset Allocation CalculatorOverview
This script is a tool that automatically calculates asset allocation for your investment portfolio. Users can set the weight of multiple assets and monitor the portfolio value in real time based on price fluctuations.
Key Features
Supports input of asset allocation percentages
Dynamic allocation calculation based on real-time price data
Automatically calculates allocated amounts for each asset based on the total investment amount
User-friendly interface with intuitive visual feedback
Settings
Total Capital : Enter the total capital, including the value of assets.
Quantity rounding : Using the rounding function may cause the target allocation to exceed 100%.
Tickers, Weight, Holdings :
To retrieve accurate asset prices, specify both the exchange and the ticker.
If you want to include cash in your portfolio, use $.
Ensure that the total allocation sums to 100%.
Refer to the pre-filled example for the correct format.
Table Settings : You can adjust the table's position, height, font size, and background color.
How to Use
By buying or selling the quantity shown in the Buy column, you can continuously maintain your target allocation.
Hold - Current holdings
Buy - Quantity to buy or sell to reach the target allocation
Target - Quantity aimed for after buying or selling
Caution
It can only calculate for a single currency, so do not mix multiple currency markets.
자산 배분 계산기
소개
이 스크립트는 투자 포트폴리오의 자산 배분을 자동으로 계산해주는 도구입니다. 사용자는 여러 자산의 비중을 설정할 수 있으며, 가격 변동에 따라 포트폴리오 가치를 실시간으로 모니터링할 수 있습니다.
주요 기능
자산 배분 비율 입력 지원
실시간 가격 데이터를 기반으로 한 동적 배분 계산
총 투자 금액을 기준으로 각 자산에 할당된 금액 자동 계산
직관적인 시각적 피드백을 제공하는 사용자 친화적인 인터페이스
설정
Total Capital : 자산 가치를 포함한 총 자본금을 입력하세요.
Quantity rounding : 반올림 기능을 사용하면 목표 비중이 100%를 초과할 수 있습니다.
Tickers, Weight, Holdings :
정확한 자산 가격을 불러오기 위해 거래소와 티커를 함께 입력하세요.
포트폴리오에 현금을 포함하려면 '$'를 사용하세요.
비중 합계가 반드시 100%가 되도록 설정하세요.
예제 형식을 참고하여 올바르게 입력하세요.
한국(원화) 시장을 위한 입력 예시입니다.
KRX:360750, 17.5, 100
KRX:310960, 17.5, 120
KRX:148070, 25, 20
KRX:305080, 25, 10
KRX:139320, 10, 150
UPBIT:BTCKRW, 5, 0.002
$,0,5000000
Table Settings : 테이블의 위치, 높이, 글자 크기 및 배경색을 조정할 수 있습니다.
사용 방법
Buy 열에 표시된 수량만큼 매수 또는 매도하면 목표 비중을 지속적으로 유지할 수 있습니다.
Hold - 현재 보유 수량
Buy - 목표 비중을 맞추기 위해 매수 또는 매도해야 하는 수량
Target - 매수, 매도 후 목표로 하는 수량
주의
한 가지 통화로만 계산할 수 있으니 여러 통화 시장을 혼용하지 마세요.
Consecutive Bullish/Bearish Candles🔍 Overview:
This indicator detects market manipulation and deception by identifying sequences of consecutive bullish or bearish candles. It highlights potential reversal zones where trends may exhaust or trap traders before reversing.
📌 How It Works:
The user can set a custom number of consecutive bullish or bearish candles (default: 5).
If the set number of consecutive green (bullish) or red (bearish) candles appears, the indicator plots a signal on the chart.
This pattern often signals exhaustion, stop hunts, or market traps, making it useful for traders looking for reversal opportunities.
📊 Features:
✅ Customizable candle count for detection
✅ Visual signals (✅ for bullish, ❌ for bearish)
✅ Alerts support for automated notifications
✅ Works on all timeframes and all markets (crypto, stocks, forex)
⚠️ Note:
This indicator does not guarantee reversals but helps identify areas where traders may be trapped and a trend shift is likely. Always use it with other confluence factors like volume, support/resistance, and market sentiment.
🚀 Use this tool to spot market deception and trade smart!
Volume Weighted SuperTrend | QuantumResearchQuantumResearch Volume Weighted Supertrend (VWST)
The Volume Adaptive Supertrend (VWST) is a dynamic trend-following tool that enhances traditional Supertrend calculations by incorporating volume-weighted market conditions.
This indicator adapts its trend signals based on volume-adjusted price action, allowing traders to refine their entries and exits with improved responsiveness. 🚀📊
1. Key Features
Volume-Weighted Adaptation: Uses various moving averages (VWMA, EMA, SMA, etc.) to adjust ATR bands based on market activity.
Customizable Trend Sensitivity: Adjusts ATR multipliers separately for bullish and bearish conditions.
Adaptive Supertrend Calculation: Dynamically recalculates trend direction based on volume-enhanced price movements.
Multi-Timeframe Compatibility: Can be applied across different assets and timeframes for versatile market analysis.
Visual Clarity & Alerts: Color-coded trend signals, shaded areas, and real-time alerts for trend shifts.
2. How It Works
A. Volume-Weighted Price Calculation
The indicator applies a user-selected moving average (EMA, VWMA, SMA, etc.) to price and volume data
This ensures that trend calculations are more reactive to strong volume surges and less influenced by low-liquidity fluctuations.
B. Adaptive ATR-Based Trend Filtering
ATR bands are dynamically adjusted based on volume-weighted price action.
Separate ATR multipliers for bullish and bearish conditions allow for refined sensitivity control.
The Supertrend line shifts dynamically to reflect these conditions.
C. Signal Generation
Bullish Trend: The price closes above the adaptive Supertrend line. ✅
Bearish Trend: The price closes below the adaptive Supertrend line. ❌
Long Entry: Triggered when trend direction switches from bearish to bullish.
Short Entry: Triggered when trend direction switches from bullish to bearish.
3. Visual Representation
A. Color-Coded Trend Signals
Green Trend Line: Indicates a bullish trend.
Red Trend Line: Indicates a bearish trend.
Gray Trend Line: Neutral phase.
B. Dynamic Background Fill
Shaded Green Areas: Confirmed uptrend zones.
Shaded Red Areas: Confirmed downtrend zones.
4. Customization & Parameters
ATR Length & Multipliers: Adjust trend sensitivity with separate multipliers for bullish and bearish phases.
Moving Average Type: Select from VWMA, EMA, SMA, HMA, WMA, DEMA, TEMA for volume-weighted calculations.
Volume Length: Modify how far back volume data is used to refine trend calculations.
Color Themes: Choose from 8 distinct color modes for clear visual representation.
5. Backtest & Market Applications
Backtest Summary :
The Volume Adaptive Supertrend (VWST) has been tested across multiple assets, including:
BTC/USD
ETH/USD
SOL/USD
📊 Key Observations:
Responsive Trend Detection: The volume-weighted adaptation helps minimize lag in trend shifts.
Versatile Across Market Conditions: Works well in both trending and consolidating phases with appropriate settings.
Customizable Risk Control: ATR multipliers can be adjusted to fine-tune signal sensitivity.
⚠️ Disclaimer: This indicator is designed to complement existing analysis techniques . Market conditions vary, and no tool can guarantee future performance. Always use proper risk management when trading.
6. Final Thoughts
The Volume Weighted Supertrend (VWST) enhances traditional Supertrend indicators by incorporating volume-adjusted trend detection.
Its dynamic ATR-based trend filtering ensures greater responsiveness to real market conditions.
Suitable for trend traders, breakout traders, and risk-conscious investors looking for volume-driven confirmations.
Use it alongside other confluences to build a robust trading system.
Important Reminder: No single indicator guarantees profitability. Always validate signals with additional market context. 📊
