The LEAP Contest - Symbol & Max Position Table TrackerDescription:
This indicator tracks the maximum contracts allowed to be traded for TradingView’s *"The Leap"* Contest. It displays a horizontal table at the bottom right of your chart showing up to 20 symbols along with their maximum allowable open contract positions.
Use case:
Designed specifically for traders participating in *The Leap* Contest on TradingView.
Users need to enter the symbol and the maximum contracts allowed for that symbol in the settings menu for each new contest.
It provides a quick reference to ensure compliance with contest rules on maximum position sizes.
How it works:
The table shows two rows: the top row displays the symbol name, and the bottom row shows the max contract limit.
If the currently loaded chart symbol matches any symbol in the list, its text color changes to yellow .
Customization:
Symbols and limits must be updated in the indicator’s settings before each contest to reflect the current rules.
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PCA Regime-Adjusted MomentumSummary
The PCA Regime-Adjusted Momentum (PCA-RAM) is an advanced market analysis tool designed to provide nuanced insights into market momentum and structural stability. It moves beyond traditional indicators by using Principal Component Analysis (PCA) to deconstruct market data into its most essential patterns.
The indicator provides two key pieces of information:
A smoothed momentum signal based on the market's dominant underlying trend.
A dynamic regime filter that gauges the stability and clarity of the market's structure, advising you when to trust or fade the momentum signals.
This allows traders to not only identify potential shifts in momentum but also to understand the context and confidence behind those signals.
Core Concepts & Methodology
The strength of this indicator lies in its sound, data-driven methodology.
1. Principal Component Analysis (PCA)
At its core, the indicator analyzes a rolling window (default 50 periods) of standardized market data (Open, High, Low, Close, and Volume). PCA is a powerful statistical technique that distills this complex, 5-dimensional data into its fundamental, uncorrelated components of variance. We focus on the First Principal Component (PC1), which represents the single most dominant pattern or "theme" driving the market's behavior in the lookback window.
2. The Momentum Signal
Instead of just looking at price, we project the current market data onto this dominant underlying pattern (PC1). This gives us a raw "projection score" that measures how strongly the current bar aligns with the historically dominant market structure. This raw score is then smoothed using two an exponential moving averages (a fast and a slow line) to create a clear, actionable momentum signal, similar in concept to a MACD.
3. The Dynamic Regime Filter
This is arguably the indicator's most powerful feature. It answers the question: "How clear is the current market picture?"
It calculates the Market Concentration Ratio, which is the percentage of total market variance explained by PC1 alone.
A high ratio indicates that the market is moving in a simple, one-dimensional way (e.g., a clear, strong trend).
A low ratio indicates the market is complex, multi-dimensional, and choppy, with no single dominant theme.
Crucially, this filter is dynamic. It compares the current concentration ratio to its own recent average, allowing it to adapt to any asset or timeframe. It automatically learns what "normal" and "choppy" look like for the specific chart you are viewing.
How to Interpret the Indicator
The indicator is displayed in a separate pane with two key visual elements:
The Momentum Lines (White & Gold)
White Line: The "Fast Line," representing the current momentum.
Gold Line: The "Slow Line," acting as the trend confirmation.
Bullish Signal: A crossover of the White Line above the Gold Line suggests a shift to positive momentum.
Bearish Signal: A crossover of the White Line below the Gold Line suggests a shift to negative momentum.
The Regime Filter (Purple & Dark Red Background)
This is your confidence gauge.
Navy Blue Background (High Concentration): The market structure is stable, simple, and trending. Momentum signals are more reliable and should be given higher priority.
Dark Red Background (Low Concentration): The market structure is complex, choppy, or directionless. Momentum signals are unreliable and prone to failure or "whipsaws." This is a signal to be cautious, tighten stops, or potentially stay out of the market.
Potential Trading Strategies
This tool is versatile and can be used in several ways:
1. Primary Signal Strategy
Condition: Wait for the background to turn Purple, confirming a stable, high-confidence regime.
Entry: Take the next crossover signal from the momentum lines (White over Gold for long, White under Gold for short).
Exit/Filter: Consider exiting positions or ignoring new signals when the background turns Navy.
2. As a Confirmation or Filter for Your Existing Strategy
Do you have a trend-following system? Only enable its long and short signals when the PCA-RAM background is Purple.
Do you have a range-trading or mean-reversion system? It might be most effective when the PCA-RAM background is Navy, indicating a lack of a clear trend.
3. Advanced Divergence Analysis
Look for classic divergences between price and the momentum lines. For example, if the price is making a new high, but the Gold Line is making a lower high, it may indicate underlying weakness in the trend, even on a Purple background. This divergence signal is more powerful because it shows that the new price high is not being confirmed by the market's dominant underlying pattern.
Correlation MA – 15 Assets + Average (Optional)This indicator calculates the moving average of the correlation coefficient between your charted asset and up to 15 user-selected symbols. It helps identify uncorrelated or inversely correlated assets for diversification, pair trading, or hedging.
Features:
✅ Compare your current chart against up to 15 assets
✅ Toggle assets on/off individually
✅ Custom correlation and MA lengths
✅ Real-time average correlation line across enabled assets
✅ Horizontal lines at +1, 0, and -1 for easy visual reference
Ideal for:
Portfolio diversification analysis
Finding low-correlation stocks
Mean-reversion & pair trading setups
Crypto, equities, ETFs
To use: set the benchmark chart (e.g. TSLA), choose up to 15 assets, and adjust settings as needed. Look for assets with correlation near 0 or negative values for uncorrelated performance.
Dr Avinash Talele momentum indicaterTrend and Volatility Metrics
EMA10, EMA20, EMA50:
Show the percentage distance of the current price from the 10, 20, and 50-period Exponential Moving Averages.
Positive values indicate the price is above the moving average (bullish momentum).
Negative values indicate the price is below the moving average (bearish or corrective phase).
Use: Helps traders spot if a stock is extended or pulling back to support.
RVol (Relative Volume):
Compares current volume to the 20-day average.
Positive values mean higher-than-average trading activity (potential institutional interest).
Negative values mean lower activity (less conviction).
Use: High RVol often precedes strong moves.
ADR (Average Daily Range):
Shows the average daily price movement as a percentage.
Use: Higher ADR = more volatility = more trading opportunities.
50D Avg. Vol & 50D Avg. Vol ₹:
The 50-day average volume (in millions) and value traded (in crores).
Use: Confirms liquidity and suitability for larger trades.
ROC (Rate of Change) Section
1W, 1M, 3M, 6M, 12M:
Show the percentage price change over the last 1 week, 1 month, 3 months, 6 months, and 12 months.
Positive values (green) = uptrend, Negative values (red) = downtrend.
Use: Quickly see if the stock is gaining or losing momentum over different timeframes.
Momentum Section
1M, 3M, 6M:
Show the percentage gain from the lowest price in the last 1, 3, and 6 months.
Use: Measures how much the stock has bounced from recent lows, helping find strong rebounds or new leaders.
52-Week High/Low Section
From 52WH / From 52WL:
Show how far the current price is from its 52-week high and low, as a percentage.
Closer to 52WH = strong uptrend; Closer to 52WL = possible value or turnaround setup.
Use: Helps traders identify stocks breaking out to new highs or rebounding off lows.
U/D Ratio
U/D Ratio:
The ratio of up-volume to down-volume over the last 50 days.
Above 1 = more buying volume (bullish), Below 1 = more selling volume (bearish).
Use: Confirms accumulation or distribution.
How This Table Helps Analysts and Traders
Instant Trend Assessment:
With EMA distances and ROC, analysts can instantly see if the stock is trending, consolidating, or reversing.
Momentum Confirmation:
ROC and Momentum sections highlight stocks with strong recent moves, ideal for momentum and breakout traders.
Liquidity and Volatility Check:
Volume and ADR ensure the stock is tradable and has enough price movement to justify a trade.
Relative Positioning:
52-week high/low stats show whether the stock is near breakout levels or potential reversal zones.
Volume Confirmation:
RVol and U/D ratio help confirm if moves are backed by real buying/selling interest.
Actionable Insights:
By combining these metrics, traders can filter for stocks with strong trends, robust momentum, and institutional backing—ideal for swing, position, or even intraday trading.
LTA - Futures Contract Size CalculatorLTA - Futures Contract Size Calculator
This indicator helps futures traders calculate the potential stop-loss (SL) value for their trades with ease. Simply input your entry price, stop-loss price, and number of contracts, and the indicator will compute the ticks moved, price movement, and total SL value in USD.
Key Features:
Supports a wide range of futures contracts, including:
Index Futures: E-mini S&P 500 (ES), Micro E-mini S&P 500 (MES), E-mini Nasdaq-100 (NQ), Micro E-mini Nasdaq-100 (MNQ)
Commodity Futures: Crude Oil (CL), Gold (GC), Micro Gold (MGC), Silver (SI), Micro Silver (SIL), Platinum (PL), Micro Platinum (MPL), Natural Gas (NG), Micro Natural Gas (MNG)
Bond Futures: 30-Year T-Bond (ZB)
Currency Futures: Euro FX (6E), Japanese Yen (6J), Australian Dollar (6A), British Pound (6B), Canadian Dollar (6C), Swiss Franc (6S), New Zealand Dollar (6N)
Displays key metrics in a clean table (bottom-right corner):
Instrument, Entry Price, Stop-Loss Price, Number of Contracts, Tick Size, Ticks Moved, Price Movement, and Total SL Value.
Automatically calculates based on the selected instrument’s tick size and tick value.
User-friendly interface with a dark theme for better visibility.
How to Use:
Add the indicator to your chart.
Select your instrument from the dropdown (ensure it matches your chart’s symbol, e.g., "NG1!" for NATURAL GAS (NG)).
Input your Entry Price, Stop-Loss Price, and Number of Contracts.
View the results in the table, including the Total SL Value in USD.
Ideal For:
Futures traders looking to quickly assess stop-loss risk.
Beginners and pros trading indices, commodities, bonds, or currencies.
Note: Ensure your chart symbol matches the selected instrument for accurate calculations. For best results, test with a few contracts and price levels to confirm the output.
This description is tailored for TradingView’s audience, providing a clear overview of the indicator’s functionality, supported instruments, and usage instructions. It also includes a note to help users avoid common pitfalls (e.g., mismatched symbols). If you’d like to adjust the tone, add more details, or include specific TradingView tags (e.g., , ), let me know!
Zen Lab Checklist - FNSThe Zen Lab Checklist - FNS is a simple yet powerful visual trading assistant designed to help traders maintain discipline and consistency in their trading routines. This provides a customizable on-screen checklist. This indicator allows traders to verify key conditions before entering a trade which will help identify trade quality and promote structured trading habits. This indicator is ideal for discretionary traders who follow a consistent set of entry rules.
✅ Key Features
Customizable Checklist Items:
Define up to 6 checklist labels with on/off toggle switches to track your trade criteria.
Visual Feedback:
Each checklist item displays a ✅ checkmark when conditions are met or a ❌ cross when not. Colors are visually distinct — green for confirmed, red for not confirmed.
Progress Tracker:
A "Trade Score" footer calculates a "trade score" percentage, helping you quickly assess the trade idea quality and readiness.
Table Position Control:
Easily adjust the table’s position on your chart (e.g., top-right, middle-center, bottom-left) using a dropdown menu.
Custom Styling Options:
- Change background and font color of checklist rows.
- Set font size (tiny to huge).
- Set the header and footer colors separately for visual contrast. (default is green background with white font)
📌 How to Use
- Open the indicator settings.
- Label your checklist items to match your personal or strategy-specific rules.
- Toggle the corresponding switches based on your trade setup conditions.
- Review the on-chart checklist and "Trade Score" to confirm your trade decision.
🎯 Why Use This?
- Discipline: Keeps you aligned with your trading plan.
- Clarity: Clear visual indicator of trade readiness.
- Efficiency: Saves time by centralizing your checklist visually on your chart.
- Custom Fit: Adapt the labels and styling to match your strategy or preferences.
⚠️ Notes
This is a manual checklist, meaning you control the toggle switches based on your judgment.
Ideal for discretionary traders who follow a consistent set of entry rules.
Stop Loss & Take Profit For Overlay Indicators[LePasha] Stop Loss & Take Profit For Overlay Indicators
This indicator helps traders easily visualize Stop Loss (SL) and Take Profit (TP) levels based on custom buy and sell signals from any overlay indicators or price-based sources.
Key Features:
Accepts buy and sell signals from any indicator or price source on your chart.
Automatically calculates SL and TP levels using ATR-based volatility for dynamic risk management.
Allows customization of capital, risk percentage per trade, and reward-to-risk ratio.
Displays clear colored boxes on the chart showing potential profit and loss zones.
Calculates position size and required leverage based on your risk settings.
Designed to work with your preferred strategies by simply connecting signal inputs.
Helps you visually manage trades with precise risk control and reward targets.
How to Use:
Connect your buy and sell signals (e.g., from Moving Average crossovers, custom scripts, or price levels) to the indicator’s inputs.
Adjust risk settings to fit your trading style (capital, risk %, reward ratio).
Watch as the indicator draws TP and SL zones on your chart when signals occur.
Use this information to set stops and targets in your trades confidently.
Perfect for traders who want simple, clear, and reliable trade management visuals based on their own strategy signals.
AsturRiskPanelIndicator Summary
ATR Engine
Length & Smoothing: Choose how many bars to use (default 14) and the smoothing method (RMA/SMA/EMA/WMA).
Median ATR: Computes a rolling median of ATR over a user-defined look-back (default 14) to derive a “scalp” target.
Scalp Target
Automatically set at ½ × median ATR, snapped to the nearest tick.
Optional rounding to whole points for simplicity.
Stop Calculation
ATR Multiplier: Scales current ATR by a user input (default 1.5) to produce your stop distance in points (and ticks when appropriate).
Distortion Handling: Switches between point-only and point + tick displays based on contract specifications.
Risk & Sizing
Risk % of account per trade (default 2 %).
Calculates dollar risk per contract and optimal contract count.
Displays all metrics (scalp, stop, risk/contract, max contracts, max risk, account size) in a customizable on-chart table.
ATR-Based Stop Placement Guidelines
Trade Context ATR Multiplier Notes
Tight Range Entry 1.0 × ATR High-conviction, precise entries. Expect more shake-outs.
Standard Trend Entry 1.5 × ATR Balanced for H2/L2, MTR, DT/DB entries.
Breakouts/Microchannels 2.0 × ATR Wide stops through chop—Brooks-style breathing room.
How to Use
Select ATR Settings
Pick an ATR length (e.g. 14) and smoothing (RMA for stability).
Adjust the median length if you want a faster/slower scalp line.
Align Multiplier with Your Setup
For tight-range entries, set ATR Multiplier ≈ 1.0.
For standard trend trades, leave at 1.5.
For breakout/pullback setups, increase to 2.0 or more.
Customize Risk Parameters
Enter your account size and desired risk % per trade (e.g. 2 %).
The table auto-calculates how many contracts you can take.
Read the On-Chart Table
Scalp shows your intraday target.
Stop gives Brooks-style stop distance in points (and ticks).
Risk/Contract is the dollar risk per contract.
Max Contracts tells you maximum position size.
Max Risk confirms total dollar exposure.
Visual Confirmation
Place your entry, then eyeball the scalp and stop levels against chart structure (e.g. swing highs/lows).
Adjust the ATR multiplier if market context shifts (e.g. volatility spikes).
By blending this sizing panel with contextual ATR multipliers, you’ll consistently give your trades the right amount of “breathing room” while keeping risk in check.
Profit Guard ProProfitGuard Pro
ProfitGuard Pro is a risk management and profit calculation tool that helps traders optimize their trades by handling position sizing, risk management, leverage, and take profit calculations. With support for both cumulative and non-cumulative take profit strategies, this versatile indicator provides the insights you need to maximize your trading strategy.
How to Use ProfitGuard Pro:
Load the Indicator: Add ProfitGuard Pro to your chart in TradingView.
Set Your Entry Position: Input your desired entry price.
Define Your Stop Loss: Enter the price at which your trade will exit to minimize losses.
Add Take Profit Levels: Input your TP1, TP2, TP3, and TP4 levels, as needed.
If you want fewer take profit levels, adjust the number of TPs in the settings menu. You can choose between 1 to 4 take profit levels based on your strategy.
Adjust Risk Settings: Specify your account size and risk percentage to calculate position size and leverage.
Choose Cumulative or Non-Cumulative Mode: Toggle cumulative profit mode to either recalculate position sizes as each take profit is hit or keep position sizes static for each TP.
Once set up, ProfitGuard Pro will automatically calculate your position size, leverage, and potential profits for each take profit level, providing a clear visual on your chart to guide your trading decisions.
Key Features:
Risk Management:
Calculate your risk percentage based on account size and stop loss.
Visualize risk in dollar terms and percentage of your account.
Position Size & Leverage:
Automatically calculate the ideal position size and leverage for your trade based on your entry, stop loss, and risk settings.
Ensure you are trading with the appropriate leverage for your account size.
Cumulative vs Non-Cumulative Profit Mode:
Cumulative Mode: Adjusts position size after each take profit is reached, recalculating for remaining contracts.
Non-Cumulative Mode: Treats each take profit as a separate calculation using the full position size.
Take Profit Levels:
Set up to 4 customizable take profit levels.
Adjust percentage values for each TP target, and visualize them on your chart with easy-to-read lines.
Profit Calculation:
Displays potential profits for each take profit level based on whether cumulative or non-cumulative mode is selected.
Calculate your risk-reward ratio dynamically at each TP.
Customizable Visuals:
Easily customize the table's size, position, and color scheme to fit your chart.
Visualize key trade details like leverage, contracts, margin, and profits directly on your chart.
Short and Long Position Support:
Automatically adjusts calculations based on whether you're trading long or short.
Value at Risk (VaR/CVaR) - Stop Loss ToolThis script calculates Value at Risk (VaR) and Conditional Value at Risk (CVaR) over a configurable T-bar forward horizon, based on historical T-bar log returns. It plots projected price thresholds that reflect the worst X% of historical return outcomes, helping set statistically grounded stop-loss levels.
A 95% 5-day VaR of −3% means: “In the worst 5% of all historical 5-day periods, losses were 3% or more.” If you're bullish, and your thesis is correct, price should not behave like one of those worst-case scenarios. So if the market starts trading below that 5-day VaR level, it may indicate that your long bias is invalidated, and a stop-loss near that level can help protect against further downside consistent with tail-risk behavior.
How it's different:
Unlike ATR or standard deviation-based methods, which measure recent volatility magnitude, VaR/CVaR incorporate both the magnitude and **likelihood** (5% chance for example) of adverse moves. This makes it better suited for risk-aware position sizing and exits grounded in actual historical return distributions.
How to use for stop placement:
- Set your holding horizon (T) and confidence level (e.g., 95%) in the inputs.
- The script plots a price level below which only the worst 5% (or chosen %) of T-bar returns have historically occurred (VaR).
- If price approaches or breaches the VaR line, your bullish/bearish thesis may be invalidated.
- CVaR gives a deeper threshold: the average loss **if** things go worse than VaR — useful for a secondary or emergency stop.
FURTHER NOTES FROM SOURCE CODE:
//======================================================================//
// If you're bullish (expecting the price to go up), then under normal circumstances, prices should not behave like they do on the worst-case days.
// If they are — you're probably wrong, or something unexpected is happening. Basically, returns shouldn't be exhibiting downside tail-like behavior if you're bullish.
// VaR(95%, T) gives the threshold below which the price falls only 5% of the time historically, over T days/bars and considering N historical samples.
// CVaR tells you the expected/average price level if that adverse move continues
// Caveats:
// For a variety of reasons, VaR underestimates volatility, despite using historical returns directly rather than making normality assumptions
// as is the case with the standard historicalvol/bollinger band/stdev/ATR approaches)
// Volatility begets volatility (volatility clustering), and VaR is not a conditional probability on recent volatility so it likely underestimates the true volatility of an adverse event
// Regieme shifts occur (bullish phase after prolonged bearish behavior), so upside/short VaR would underestimate the best-case days in the beginning of that move, depending on lookahead horizon/sampling period
// News/events happen, and maybe your sampling period doesn't contain enough event-driven returns to form reliable stats
// In general of course, this tool assumes past return distributions are reflective of forward risk (not the case in non-stationary time series)
// Thus, this tool is not predictive — it shows historical tail risk, not guaranteed outcomes.
// Also, when forming log-returns, overlapping windows of returns are used (to get more samples), but this introduces autocorrelation (if it wasn't there already). This means again, the true VaR is underestimated.
// Description:
// This script calculates and plots both Value at Risk (VaR) and
// Conditional Value at Risk (CVaR) for a given confidence level, using
// historical log returns. It computes both long-side (left tail) and
// short-side (right tail) risk, and converts them into price thresholds (red and green lines respectively).
//
// Key Concepts:
// - VaR: "There is a 95% chance the loss will be less than this value over T days. Represents the 95th-percentile worst empirical returns observed in the sampling period, over T bars.
// - CVaR: "Given that the loss exceeds the VaR, the average of those worst 5% losses is this value. (blue line)" Expected tail loss. If the worst case breached, how bad can it get on average
// - For shorts, the script computes the mirror (right-tail) equivalents.
// - Use T-day log returns if estimating risk over multiple days forward.
// - You can see instances where the VaR for time T, was surpassed historically with the "backtest" boolean
//
// Usage for Stop-Loss:
// - LONG POSITIONS:
// • 95th percentile means, 5% of the time (1 in 20 times) you'd expect to get a VaR level loss (touch the red line), over the next T bars.
// • VaR threshold = minimum price expected with (1 – confidence)% chance.
// • CVaR threshold = expected price if that worst-case zone is breached.
// → Use as potential stop-loss (VaR) or disaster stop (CVaR). If you're bullish (and you're right), price should not be exhibiting returns consistent with the worst 5% of days/T_bars historically.
//======================================================================//
1A Monthly P&L Table - Using Library1A Monthly P&L Table: Track Your Performance Month-by-Month
Overview:
The 1A Monthly P&L Table is a straightforward yet powerful indicator designed to give you an immediate overview of your asset's (or strategy's) percentage performance on a monthly basis. Displayed conveniently in the bottom-right corner of your chart, this tool helps you quickly assess historical gains and losses, making it easier to analyze trends in performance over time.
Key Features:
Monthly Performance at a Glance: Clearly see the percentage change for each past month.
Cumulative P&L: A running total of the displayed monthly P&L is provided, giving you a quick sum of performance over the selected period.
Customizable Display:
Months to Display: Choose how many past months you want to see in the table (from 1 to 60 months).
Text Size: Adjust the text size (Tiny, Small, Normal, Large, Huge) to fit your viewing preferences.
Text Color: Customize the color of the text for better visibility against your chart background.
Intraday & Daily Compatibility: The table is optimized to display on daily and intraday timeframes, ensuring it's relevant for various trading styles. (Note: For very long-term analysis on weekly/monthly charts, you might consider other tools, as this focuses on granular monthly P&L.)
How It Works:
The indicator calculates the percentage change from the close of the previous month to the close of the current month. For the very first month displayed, it calculates the P&L from the opening price of the chart's first bar to the close of that month. This data is then neatly organized into a table, updated on the last bar of the day or session.
Ideal For:
Traders and investors who want a quick, visual summary of monthly performance.
Analyzing seasonal trends or consistent periods of profitability/drawdown.
Supplementing backtesting results with a clear month-by-month breakdown.
Settings:
Text Color: Changes the color of all text within the table.
Text Size: Controls the font size of the table content.
Months to Display: Determines the number of recent months included in the table.
SectorRotationRadarThe Sector Rotation Radar is a powerful visual analysis tool designed to track the relative strength and momentum of a stock compared to a benchmark index and its associated sector ETF. It helps traders and investors identify where an asset stands within the broader market cycle and spot rotation patterns across sectors and timeframes.
🔧 Key Features:
Benchmark Comparison: Measures the relative performance (strength and momentum) of the current symbol against a chosen benchmark (default: SPX), highlighting over- or underperformance.
Automatic Sector Detection: Automatically links stocks to their relevant sector ETFs (e.g., XLK, XLF, XLU), based on an extensive internal symbol map.
Multi-Timeframe Analysis: Supports simultaneous comparison across the current, next, and even third-higher timeframes (e.g., Daily → Weekly → Monthly), providing a bigger-picture perspective of trend shifts.
Tail Visualization: Displays a "trail" of price behavior over time, visualizing how the asset has moved in terms of relative strength and momentum across a user-defined period.
Quadrant-Based Layout: The chart is divided into four dynamic main zones, each representing a phase in the strength/momentum cycle:
🔄 Improving: Gaining strength and momentum
🚀 Leading: High strength and high momentum — top performers
💤 Weakening: Losing momentum while still strong
🐢 Lagging: Low strength and low momentum — underperformers
Clean Chart Visualization:
Background grid with axis labels
Dynamic tails and data points for each symbol
Option to include the associated sector ETF for context
Descriptive labels showing exact strength/momentum values per point
⚙️ Customization Options:
Benchmark Selector: Choose any symbol to compare against (e.g., SPX, Nasdaq, custom index)
Start Date Control: Option to fix a historical start point or use the current data range
Trail Length: Set the number of previous data points to display
Additional Timeframes: Enable analysis of one or two higher timeframes beyond the current
Sector ETF Display: Toggle to show or hide the related sector ETF alongside the asset
📚 Technical Architecture:
The indicator relies on external modules for:
Statistical modeling
Relative strength and momentum calculations
Chart rendering and label drawing
These components work together to compute and display a dynamic, real-time map of asset performance over time.
🧠 Use Case:
Sector Rotation Radar is ideal for traders looking to:
Spot stocks or sectors rotating into strength or weakness
Confirm alignment across multiple timeframes
Identify sector leaders and laggards
Understand how a symbol is positioned relative to the broader market and its peers
This tool is especially valuable for swing traders, sector rotation strategies, and macro-aware investors who want a visual edge in decision-making.
ZenAlgo - DominatorThis indicator provides a structured multi-ticker overview of market momentum and relative strength by analyzing short-term price behavior across selected assets in comparison with broader crypto dominance and Bitcoin/ETH performance.
Ticker and Market Data Handling
The script accepts up to 9 user-defined symbols (tickers) along with BTCUSD and ETHUSD. For each symbol:
It retrieves the current price.
It also requests the daily opening price from the "D" timeframe to compute intraday percentage change.
For BTC, ETH, and dominance (sum of BTC, USDT, and USDC dominance), daily change is calculated using this same method.
This comparison enables tracking relative performance from the daily open, which provides meaningful insight into intraday strength or weakness among different assets.
Dominance Logic
The indicator aggregates dominance data from BTC , USDT , and USDC using TradingView’s CRYPTOCAP indices. This combined dominance is used as a reference in directional and status calculations. ETH dominance is also analyzed independently.
Changes in dominance are used to infer whether market attention is shifting toward Bitcoin/stablecoins (typically indicating risk-off sentiment) or away from them (typically risk-on behavior, benefiting altcoins).
Price Direction Estimation
The script estimates directional bias using an EMA-based deviation technique:
A short EMA (user-defined lookback , default 4 bars) is calculated.
The current close is compared to the EMA to assess directional bias.
Recent candle changes are also inspected to confirm a consistent short-term trend (e.g., 3 consecutive higher closes for "up").
A small threshold is used to avoid classifying flat movements as trends.
This directionality logic is applied separately to:
The selected ticker's price
BTC price
Combined dominance
This allows the script to contextualize the movement of each asset within broader market conditions.
Market Status Evaluation
A custom function analyzes ETH and BTC dominance trends along with their relative strength to define the overall market regime:
Altseason is identified when BTC dominance is declining, ETH dominance rising, and ETH outperforms BTC.
BTC Season occurs when BTC dominance is rising, ETH dominance falling, and BTC outperforms ETH.
If neither condition is met, the state is Neutral .
This classification is shown alongside each ticker's row in the table and helps traders assess whether market conditions favor Bitcoin, Ethereum, or altcoins in general.
Ticker Status Classification
Each ticker is analyzed independently using the earlier directional logic. Its status is then determined as follows:
Full Bull : Ticker is trending up while dominance is declining or BTC is also rising.
Bullish : Ticker is trending up but not supported by broader bullish context.
Bearish : Ticker is trending down but without broader confirmation.
Full Bear : Ticker is trending down while dominance rises or BTC falls.
Neutral : No strong directional bias or conflicting context.
This classification reflects short-term momentum and macro alignment and is color-coded in the results table.
Table Display and Plotting
A configurable table is shown on the chart, which:
Displays the name and status of each selected ticker.
Optionally includes BTC, ETH, and market state.
Uses color-coding for intuitive interpretation.
Additionally, price changes from the daily open are plotted for each selected ticker, BTC, ETH, and combined dominance. These values are also labeled directly on the chart.
Labeling and UX Enhancements
Labels next to the current candle display price and percent change for each active ticker and for BTC, ETH, and combined dominance.
Labels update each bar, and old labels are deleted to avoid clutter.
Ticker names are dynamically shortened by stripping exchange prefixes.
How to Use This Indicator
This tool helps traders:
Spot early rotations between Bitcoin and altcoins.
Identify intraday momentum leaders or laggards.
Monitor which tickers align with or diverge from broader market trends.
Detect possible sentiment shifts based on dominance trends.
It is best used on lower to mid timeframes (15m–4h) to capture intraday to short-term shifts. Users should cross-reference with longer-term trend tools or structural indicators when making directional decisions.
Interpretation of Values
% Change : Measures intraday move from daily open. Strong positive/negative values may indicate breakouts or reversals.
Status : Describes directional strength relative to market conditions.
Market State : Gives a general bias toward BTC dominance, ETH strength, or altcoin momentum.
Limitations & Considerations
The indicator does not analyze liquidity or volume directly.
All logic is based on short-term movements and may produce false signals in ranging or low-volume environments.
Dominance calculations rely on external CRYPTOCAP indices, which may differ from exchange-specific flows.
Added Value Over Other Free Tools
Unlike basic % change tables or price overlays, this indicator:
Integrates dominance-based macro context into ticker evaluation.
Dynamically classifies market regimes (BTC season / Altseason).
Uses multi-factor logic to determine ticker bias, avoiding single-metric interpretation.
Displays consolidated information in a table and chart overlays for rapid assessment.
Crypto Portfolio vs BTC – Custom Blend TrackerThis tool tracks the performance of a custom-weighted crypto portfolio (SUI, BTC, SOL, DEEP, DOGE, LOFI, and Other) against BTC. Simply input your start date to anchor performance and compare your basket’s relative strength over time. Ideal for portfolio benchmarking, alt-season tracking, or macro trend validation.
Supports all timeframes. Based on BTC-relative returns (not USD). Open-source and customizable.
Risk Calculator PRO — manual lot size + auto lot-suggestionWhy risk management?
90 % of traders blow up because they size positions emotionally. This tool forces Risk-First Thinking: choose the amount you’re willing to lose, and the script reverse-engineers everything else.
Key features
1. Manual or Market Entry – click “Use current price” or type a custom entry.
2. Setup-based ₹-Risk – four presets (A/B/C/D). Edit to your workflow.
3. Lot-Size Input + Auto Lot Suggestion – you tell the contract size ⇒ script tells you how many lots.
4. Auto-SL (optional) – tick to push stop-loss to exactly 1-lot risk.
5. Instant Targets – 1 : 2, 1 : 3, 1 : 4, 1 : 5 plotted and alert-ready.
6. P&L Preview – table shows potential profit at each R-multiple plus real ₹ at SL.
7. Margin Column – enter per-lot margin once; script totals it for any size.
8. Clean Table UI – dark/light friendly; updates every 5 bars.
9. Alert Pack – SL, each target, plus copy-paste journal line on the chart.
How to use
1. Add to chart > “Format”.
2. Type the lot size for the symbol (e.g., 1250 for Natural Gas, 1 for cash equity).
3. Pick Side (Buy / Sell) & Setup grade.
4. ✅ If you want the script to place SL for you, tick Auto-SL (risk = 1 lot).
5. Otherwise type your own Stop-loss.
6. Read the table:
• Suggested lots = how many to trade so risk ≤ setup ₹.
• Risk (currency) = real money lost if SL hits.
7. Set TradingView alerts on the built-in conditions (T1_2, SL_hit, etc.) if you’d like push / email.
8. Copy the orange CSV label to Excel / Sheets for journalling.
Best practices
• Never raise risk to “fit” a trade. Lower size instead.
• Review win-rate vs. R multiple monthly; adjust setups A–D accordingly.
• Test Auto-SL in replay before going live.
Disclaimer
This script is educational. Past performance ≠ future results. The author isn’t responsible for trading losses.
Uptrick: Asset Rotation SystemOverview
The Uptrick: Asset Rotation System is a high-level performance-based crypto rotation tool. It evaluates the normalized strength of selected assets and dynamically simulates capital rotation into the strongest asset while optionally sidestepping into cash when performance drops. Built to deliver an intelligent, low-noise view of where capital should move, this system is ideal for traders focused on strength-driven allocation without relying on standard technical indicators.
Purpose
The purpose of this tool is to identify outperforming assets based strictly on relative price behavior and automatically simulate how a portfolio would evolve if it consistently moved into the strongest performer. By doing so, it gives users a realistic and dynamic model for capital optimization, making it especially suitable during trending markets and major crypto cycles. Additionally, it includes an optional safety fallback mechanism into cash to preserve capital during risk-off conditions.
Originality
This system stands out due to its strict use of normalized performance as the only basis for decision-making. No RSI, no MACD, no trend oscillators. It does not rely on any traditional indicator logic. The rotation logic depends purely on how each asset is performing over a user-defined lookback period. There is a single optional moving average filter, but this is used internally for refinement, not for entry or exit logic. The system’s intelligence lies in its minimalism and precision — using normalized asset scores to continuously rotate capital with clarity and consistency.
Inputs
General
Normalization Length: Defines how many bars are used to calculate each asset’s normalized score. This score is used to compare asset performance.
Visuals: Selects between Equity Curve (show strategy growth over time) or Asset Performance (compare asset strength visually).
Detect after bar close: Ensures changes only happen after a candle closes (for safety), or allows bar-by-bar updates for quicker reactions.
Moving Average
Used internally for optional signal filtering.
MA Type: Lets you choose which moving average type to use (EMA, SMA, WMA, RMA, SMMA, TEMA, DEMA, LSMA, EWMA, SWMA).
MA Length: Sets how many bars the moving average should calculate over.
Use MA Filter: Turns the filter on or off. It doesn’t affect the signal directly — just adds a layer of control.
Backtest
Used to simulate equity tracking from a chosen starting point. All calculations begin from the selected start date. Prior data is ignored for equity tracking, allowing users to isolate specific market cycles or testing periods.
Starting Day / Month / Year: The exact day the strategy starts tracking equity.
Initial Capital $: The amount of simulated starting capital used for performance calculation.
Rotation Assets
Each asset has 3 controls:
Enable: Include or exclude this asset from the rotation engine.
Symbol: The ticker for the asset (e.g., BINANCE:BTCUSDT).
Color: The color for visualization (labels, plots, tables).
Assets supported by default:
BTC, ETH, SOL, XRP, BNB, NEAR, PEPE, ADA, BRETT, SUI
Cash Rotation
Normalization Threshold USDC: If all assets fall below this threshold, the system rotates into cash.
Symbol & Color: Sets the cash color for plots and tables.
Customization
Dynamic Label Colors: Makes labels change color to match the current asset.
Enable Asset Label: Plots asset name labels on the chart.
Asset Table Position: Choose where the key asset usage table appears.
Performance Table Position: Choose where the backtest performance table appears.
Enable Realism: Enables slippage and fee simulation for realistic equity tracking. Adjusted profit is shown in the performance table.
Equity Styling
Show Equity Curve (STYLING): Toggles an extra-thick visual equity curve.
Background Color: Adds a soft background color that matches the current asset.
Features
Dual Visualization Modes
The script offers two powerful modes for real-time visual insights:
Equity Curve Mode: Simulates the growth of a portfolio over time using dynamic asset rotation. It visually tracks capital as it moves between outperforming assets, showing compounded returns and the current allocation through both line plots and background color.
Asset Performance Mode: Displays the normalized performance of all selected assets over the chosen lookback period. This mode is ideal for comparing relative strength and seeing how different coins perform in real-time against one another, regardless of price level.
Multi-Asset Rotation Logic
You can choose up to 10 unique assets, each fully customizable by symbol and color. This allows full flexibility for different strategies — whether you're rotating across majors like BTC, ETH, and SOL, or including meme tokens and stablecoins. You decide the rotation universe. If none of the selected assets meet the strength threshold, the system automatically moves to cash as a protective fallback.
Key Asset Selection Table
This on-screen table displays how frequently each enabled asset was selected as the top performer. It updates in real time and can help traders understand which assets the system has historically favored.
Asset Name: Shortened for readability
Color Box: Visual color representing the asset
% Used: How often the asset was selected (as a percentage of strategy runtime)
This table gives clear insight into historical rotation behavior and asset dominance over time.
Performance Comparison Table
This second table shows a full backtest vs. chart comparison, broken down into key performance metrics:
Backtest Start Date
Chart Asset Return (%) – The performance of the asset you’re currently viewing
System Return (%) – The equity growth of the rotation strategy
Outperformed By – Shows how many times the system beat the chart (e.g., 2.1x)
Slippage – Estimated total slippage costs over the strategy
Fees – Estimated trading fees based on rotation activity
Total Switches – Number of times the system changed assets
Adjusted Profit (%) – Final net return after subtracting fees and slippage
Equity Curve Styling
To enhance visual clarity and aesthetics, the equity curve includes styling options:
Custom Thickness Curve: A second stylized line plots a shadow or highlight of the main equity curve for stronger visual feedback
Dynamic Background Coloring: The chart background changes color to match the currently held asset, giving instant visual context
Realism Mode
By enabling Realism, the system calculates estimated:
Trading Fees (default 0.1%)
Slippage (default 0.05%)
These costs are subtracted from the equity curve in real time, and shown in the table to produce an Adjusted Return metric — giving users a more honest and execution-aware picture of system performance.
Adaptive Labeling System
Each time the asset changes, an on-chart label updates to show:
Current Asset
Live Equity Value
These labels dynamically adjust in color and visibility depending on the asset being held and your styling preferences.
Full Customization
From visual position settings to table placements and custom asset color coding, the entire system is fully modular. You can move tables around the screen, toggle background visuals, and control whether labels are colored dynamically or uniformly.
Key Concepts
Normalized values represent how much an asset has changed relative to its past price over a fixed period, allowing performance comparisons across different assets. Outperforming refers to the asset with the highest normalized value at a given time. Cash fallback means the system moves into a stable asset like USDC when no strong performers are available. The equity curve is a running total of simulated capital over time. Slippage is the small price difference between expected and actual trade execution due to market movement.
Use Case Flexibility
You don’t need to use all 10 assets. The system works just as effectively with only 1 asset — such as rotating between CASH and SOL — for a simple, minimal strategy. This is ideal for more focused portfolios or thematic rotation systems.
How to Use the Indicator
To use the Uptrick: Asset Rotation System, start by selecting which assets to include and entering their symbols (e.g., BINANCE:BTCUSDT). Choose between Equity Curve mode to see simulated portfolio growth, or Asset Performance mode to compare asset strength. Set your lookback period, backtest start date, and optionally enable the moving average filter or realism settings for slippage and fees. The system will then automatically rotate into the strongest asset, or into cash if no asset meets the strength threshold. Use alerts to be notified when a rotation occurs.
Asset Switch Alerts
The script includes built-in alert conditions for when the system rotates into a new asset. You can enable these to be notified when the system reallocates to a different coin or to cash. Each alert message is labeled by target asset and can be used for automation or monitoring purposes.
Conclusion
The Uptrick: Asset Rotation System is a next-generation rotation engine designed to cut through noise and overcomplication. It gives users direct insight into capital strength, without relying on generic indicators. Whether used to track a broad basket or focus on just two assets, it is built for accuracy, adaptability, and transparency — all in real-time.
Disclaimer
This script is for research and educational purposes only. It is not intended as financial advice. Past performance is not a guarantee of future results. Always consult with a financial professional and evaluate risks before trading or investing.
Dot On Plan | Economic Cycle Analysis v2.4This closed-source script applies a structured macroeconomic model to classify economic regimes in real time, using inter-asset ratios and yield spreads. It helps traders and analysts interpret broader market conditions—such as expansion, stagflation, deflation, or supply shocks—through well-established market proxies.
🔍 Core Metrics and Logic
The script tracks the following macro indicators:
- **Copper/Oil Ratio**: A proxy for industrial activity vs. energy costs (Copper futures ÷ Oil futures). A rising ratio signals growth optimism; a falling ratio suggests weakening demand.
- **TIPS Spread (Breakeven Inflation)**: The difference between 10Y Treasury yields and 10Y TIPS yields, reflecting inflation expectations. A high spread indicates inflationary pressure.
- **Gold/Oil Ratio**: Measures market stress (Gold futures ÷ Oil futures). A rising ratio often appears in disinflationary or crisis environments.
- **Copper/Gold Ratio**: A "growth vs. safety" indicator. Rising indicates risk-on confidence; falling suggests risk aversion.
Each ratio is smoothed with a moving average to identify trends, evaluating direction and momentum. Trend strength is assessed using a short-term slope and a statistical threshold to detect persistence.
🧭 Economic Regime Classification
The script combines these metrics to identify 17 distinct economic states, such as:
- Typical Expansion: Indicates strong growth and inflation expectations with low safe-haven demand.
- Stagflation Risk: Reflects cost-push inflation with weak growth and high safe-haven demand.
- Supply Shock Conditions: Signals rising inflation and uncertainty, often due to geopolitical events.
Regime classification is based on the interaction of these metrics and their positioning relative to long-term trends. The specific weighting and logic are proprietary, ensuring a unique approach.
📊 Features
- Live macro regime status table with trend updates and economic implications.
- Visual plots of key ratios and optional moving averages.
- Customizable alerts for key regimes (e.g., stagflation onset, expansion reentry).
- Full customization for MA periods, ratio thresholds, TIPS threshold, and table update frequency.
📈 How to Use
- Apply on daily or weekly charts for stable macro signals (adjustable via "Data Timeframe" input).
- Customize thresholds and MA periods to match your market view.
- Use regime outputs to guide allocation (e.g., cyclical assets in expansion, defensive assets in stagflation).
⚠️ Disclaimer
This script is for informational and educational purposes only and does not constitute financial or investment advice. Past performance is not indicative of future results. Always conduct your own research and consult a qualified financial advisor before trading. The underlying calculation logic is proprietary and not disclosed in full.
ETH Z-Pulse | QuantumResearchETH Z-Pulse | QuantumResearch
📉 Ethereum On-Chain Z-Score Composite for Trend Detection
ETH Z-Pulse is a custom on-chain valuation indicator developed by QuantumResearch, designed to identify key trend shifts in Ethereum based on three powerful on-chain metrics: NUPL, SOPR, and MVRV. It computes a composite Z-Score signal to detect statistically significant bullish or bearish phases in the market.
🔍 Core Components:
📈 NUPL Z-Score — Measures Unrealized Profit/Loss using Glassnode’s Market Cap vs. Realized Cap
📊 SOPR Z-Score — Spent Output Profit Ratio smoothed with an EMA filter
📉 MVRV Z-Score — Market Value to Realized Value comparison for Ethereum
The result is a single composite oscillator (On_chainz) that dynamically signals trend strength and valuation extremes.
⚙️ Signal Logic:
Bullish (Long Bias): When the composite Z-Score > +0.83
Bearish (Short Bias): When the Z-Score < -0.58
Neutral Zone: Values between thresholds (continuous signal)
Color-coded plots and chart bars visually highlight trend shifts and help distinguish accumulation vs. distribution phases.
🧠 Use Case:
Ideal for:
Long-term investors looking to assess ETH valuation cycles
Swing traders seeking macro trend confirmation
Analysts comparing on-chain signals with technical setups
📌 Technical Notes:
Requires on-chain data feeds from Glassnode and CoinMetrics
Designed specifically for Ethereum (ETH) on daily timeframe
Customizable Z-Score lengths for fine-tuning
Non-overlay indicator
⚠️ Disclaimer:
This tool is for educational and research purposes only.
Past performance is not indicative of future results.
On-chain metrics are probabilistic, not predictive. Always combine with other forms of analysis and risk management.
Not financial advice.
CL Live lotsize ROOSTER📄 Description:
This is a utility script designed for manual futures traders who enter with market orders and want to size their positions precisely based on $ risk.
⚙️ Features:
✅ Calculates live contract size based on:
A fixed dollar risk amount (e.g. $100)
A manually set static stop-loss price
The live market price as your entry
✅ Uses a configurable risk-reward ratio (e.g. 1:3)
✅ Plots entry, stop, and target levels on the chart
✅ Displays calculated contract size as a floating label
🎯 Why this tool?
Built to support fast execution workflows , this tool helps traders who:
Enter trades at candle close or open
Want to pre-calculate their market order size before the signal
Prefer a visual, consistent, real-time R:R validation system
Avoid fumbling with the long/short position tool at the last second
🔧 Settings:
Static Stop-Loss Price: Enter the price level where you'd place your SL
Account Risk ($): How much you’re willing to risk per trade
Risk-Reward Ratio: Set your target multiplier (e.g. 3 for 3R)
PORTFOLIO TABLE Full [Titans_Invest]PORTFOLIO TABLE Full
This is a complete table for monitoring your assets or cryptocurrencies in your SPOT wallet without needing to access your broker’s website or app.
⯁ HOW TO USE THIS TABLE❓
Simply select the asset and enter the amount you hold.
The table will display the value of each asset and the total value of your portfolio.
You can monitor up to 19 assets in real time.
⯁ CONVERT VALUES
You can also enable and select a currency for conversion.
For example, cryptocurrencies are calculated in US dollars by default, but you can choose euros as the conversion currency.
The values originally in dollars will then be displayed in euros.
⯁ TRACK THE DAILY VARIATION OF YOUR PORTFOLIO
You’ll be able to monitor your portfolio’s raw daily variation in real time.
🔶 Track your Portfolio in real time:
🔶 Add your local Currency to Convert Values:
🔶 Follow your Portfolio Live:
___________________________________________________________
📜 SCRIPT : PORTFOLIO TABLE Full
🎴 Art by : @Titans_Invest & @DiFlip
👨💻 Dev by : @Titans_Invest & @DiFlip
🎑 Titans Invest — The Wizards Without Gloves 🧤
✨ Enjoy!
___________________________________________________________
o Mission 🗺
• Inspire Traders to manifest Magic in the Market.
o Vision 𐓏
• To elevate collective Energy 𐓷𐓏
Risk Calculator Manual Only### Indicator Name: Risk Calculator Manual Only
Description:
This indicator is designed for manual risk and position size calculation. It helps traders manage risk per trade by clearly displaying key trade parameters on the chart in an easy-to-read table format. The indicator does not auto-calculate entry, stop, or target prices—all values must be entered manually, giving full control to the trader.
Key Features:
- Manual input only: Users manually enter the entry price, stop-loss, and take-profit levels.
- On-chart data table: Displays all calculated metrics in a compact, color-coded table:
- Trade Type: Long or Short, selectable in settings.
- Entry Price, Stop-Loss, Take-Profit: Entered by the user.
- Position Size ($): Automatically calculated based on your risk amount and stop-loss distance.
- Profit ($): Potential profit based on take-profit level.
- Loss ($): Potential loss based on stop-loss level.
- Color coding:
- Profit row is highlighted in green.
- Loss row is highlighted in red.
- Alerts: Optional alerts when price hits the stop-loss or take-profit levels.
How to Use:
1. Enter your planned entry price, stop-loss, and take-profit in the indicator settings.
2. Set your risk amount per trade (in USD).
3. The indicator will calculate the appropriate position size, potential profit, and loss, and display them in a visual table.
4. Enable alerts if you want to be notified when price reaches your stop-loss or take-profit.
Benefits:
- Helps enforce disciplined risk management.
- Visual feedback on key trade metrics, directly on the chart.
- Fast, manual trade planning with no automation—ideal for discretionary traders.
- Supports both long and short trade types.
Notes:
- This tool assumes accurate manual input. It does not auto-detect price levels.
- Best used by traders who prefer full control over their risk setup and calculations.
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Position Size Calculator (Fixed % or ATR-based Stop Support)Position Size Calculator (Fixed % or ATR-based Stop Support)
Purpose and Background
This indicator allows traders to calculate appropriate position sizes directly on the chart, based on a key rule:
“What percentage of your capital are you willing to risk per trade?”
While many traders focus on entries and indicators, position sizing and risk allocation are often overlooked.
This tool visualizes and simplifies the “1% risk rule” promoted by IBD (Investor’s Business Daily) and William J. O’Neil, helping both beginners and experienced traders maintain disciplined capital management.
Key Features
Automatically calculates and displays:
・ Position Size
The number of units (shares, contracts, coins) you can hold based on your stop-loss range and risk allowance.
・ Stop Price
The price level at which your stop-loss would be triggered.
・ Risk Amount
The maximum loss per trade based on your portfolio size and risk percentage.
Two stop-loss modes available:
・ Fixed % Mode
O’Neil suggests using up to 8% stop-loss in uptrends and keeping it tighter (around 4%) in corrections. This mode allows flexible manual settings.
・ ATR-Based Mode
Uses the asset’s average volatility to dynamically calculate stop-loss width using the Average True Range (ATR).
ATR Usage and Recommended Settings
ATR helps you avoid noise-based stop-outs and align your risk with market volatility.
There are two parameters you can adjust:
・ ATR Length
Defines how many bars are used to calculate the average range.
・Shorter values (5–10) respond faster for day trades
・Longer values (14–21) offer smoother ranges for swing/position trades(Default is 14)
・ATR Multiplier
Sets how wide the stop-loss is by multiplying the ATR value:
・Day trading: 1.0–1.5×
・Swing trading: 1.5–2.5×
・Position trading: 2.0–3.0×
Practical Examples: Risk % × Stop-Loss % → Max Positions
This tool helps estimate how many positions you can hold in a portfolio based on your risk per trade and stop width.
Examples:
・Risk 0.5%, Stop 8% → Max 16 positions
・Risk 0.5%, Stop 4% → Max 8 positions
・Risk 1.0%, Stop 8% → Max 8 positions
・Risk 1.0%, Stop 4% → Max 4 positions
・Risk 2.0%, Stop 8% → Max 4 positions
・Risk 2.0%, Stop 4% → Max 2 positions
These assume worst-case scenarios where all positions are stopped out simultaneously within your overall portfolio risk limit.
Display & Customization Options
・ Currency Display: USD or JPY
No currency conversion is applied. Select based on your trading region (e.g., USD for U.S. stocks, JPY for Japanese stocks).
Support for additional currencies can be added upon request.
・ Show/Hide Decimal Places
Toggle decimals for better visibility. Ideal for fractional assets like crypto and CFDs.
・ Position of Output
Choose from top-right, middle-right, or bottom-right on the chart.
・ Text Display Size: Large / Normal / Small
Choose the table size that best suits your viewing preferences.
・ Explanation of Displayed Labels
・ Position Size : Units to buy/sell based on risk
・ Stop Price : Price where stop-loss is triggered
・ Risk Amount : Max loss allowed for the trade
How to Use
１、Set your Portfolio Size
２、Choose your Currency (USD or JPY)
３、Input Risk per Trade (%) (e.g., 1%)
４、Select Stop Loss Method
・ Fixed % : Enter a manual stop-loss percent (e.g., 8%)
・ ATR : Then also enter:
・ ATR Length : Number of bars used to calculate ATR (e.g., 14)
・ ATR Multiplier : Factor applied to ATR to determine stop-loss (e.g., 2.0)
５、Adjust decimals, label position, or text size as needed
６、The result is displayed in a table directly on your chart
Notes
・ Uses the current close price (close) as the basis
Real-time bid/ask data isn't available in Pine Script, so the close price is used for consistent results.
・ No buy/sell signals are generated
This tool is for position sizing and risk calculation only, not trade entries.
Recommended For
・Traders who want precise, rule-based position sizing
・Users following IBD or O’Neil’s 1% risk principle
・Those incorporating ATR for stop-loss strategies
・Multi-asset traders (stocks, crypto, CFDs, etc.)
・ Anyone who wants to calculate position size and risk without using a calculator or external tool—fully inside TradingView
Simple Portfolio System | QuantumResearchStatic Allocation Engine for Smarter Crypto Exposure
The Simple Portfolio System (SPS) by QuantumResearch is a lightweight yet powerful asset allocation framework, designed for investors who want a smarter, more disciplined alternative to passive buy-and-hold. SPS allocates capital across four customizable assets — BTC, ETH, SOL, and SUI — using a volatility-adjusted momentum engine powered by the proprietary AVWO indicator.
🔍 Key Features:
✅ Adaptive Allocation Logic
Every day, the system evaluates trend strength using the AVWO oscillator. Each asset showing a bullish signal receives a fixed 25% portfolio allocation.
📉 Dynamic Cash Protection
If no asset is trending, SPS automatically shifts to 100% cash, minimizing exposure during sideways or bearish market phases.
📈 Equity Curve Overlay
Compare the strategy's performance against traditional Buy & Hold — both equity curves are plotted for clear benchmarking.
🧠 Proprietary Signal Engine
Powered by AVWO, a custom volatility-weighted oscillator developed by QuantumResearch, designed to filter noise and highlight adaptive trend signals.
📋 Live Performance Dashboard
Real-time metrics include:
Sharpe Ratio
Sortino Ratio
Omega Ratio
Max Drawdown (%)
Current Asset Allocations & Weights
⚙️ System Logic Overview:
Up to four assets analyzed: BTC, ETH, SOL, SUI
If one or more assets are detected as trending, each receives 25% allocation
If none are trending, capital remains unallocated (cash)
Allocation signals are recalculated daily
Backtest begins: 03 May 2023
📌 Use Case:
This system is ideal for:
-Investors seeking to avoid overexposure during weak or range-bound markets
-Traders who want to capture clear trend opportunities
-Portfolio builders looking to benchmark adaptive exposure vs. passive HODL strategies
Built by QuantumResearch — engineered for simplicity, clarity, and tactical trend participation.
⚠️ Important Disclaimer:
Past performance is not indicative of future results. All trading strategies carry risk.
This tool is provided for educational and research purposes only.
Not financial advice. Always conduct your own analysis and consult with a financial advisor before making investment decisions.
