Zakaat CalculatorZakaat Calculator
The Zakaat Calculator is a dedicated tool designed to assist with transparent and structured wealth assessments based on Islamic finance principles. This script dynamically references live gold and silver prices, applies Nisab thresholds, and evaluates whether Zakaat is obligatory based on the user’s net worth.
Core Features
Live market data: Automatically fetches daily gold and silver prices (TVC:GOLD & TVC:SILVER).
Nisab thresholds: Choose between the gold standard (85g) or silver standard (595g) to set the eligibility baseline.
Flexible inputs: Enter your current holdings across gold, silver, investments, and cash.
Automated calculation: Compares your total net worth against the selected Nisab threshold and calculates the payable Zakaat at a customizable percentage (default 2.5%).
Clear visualization: Results are displayed in a structured on-chart table for full transparency, including thresholds, holdings, total net worth, and final Zakaat due.
Practical Use
This tool is built for individuals who want a precise, real-time view of their Zakaat obligations. By combining faith-based calculation rules with live market data, it ensures accuracy and ease of use.
Note
This indicator is designed for educational and personal financial planning purposes. It may also be used for broader applications such as donations or calculating contributions towards charitable causes. Always consult with qualified scholars or financial advisors for personal guidance.
إدارة المحافظ الاستثمارية
Altcoins Exit Planner [SwissAlgo]Altcoins Exit Planner
Navigating Altcoin Exits: A Strategic Approach: Planning your exits before emotions take over
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✅ THE PSYCHOLOGY OF ALTCOIN TRADING
Many traders face recurring challenges when managing altcoin positions:
The Greed Trap : Holding through euphoric rallies, hoping for unrealistic targets, only to watch gains evaporate during market reversals.
The Paralysis Problem : Sitting on large unrealized profits but unsure which assets to exit, when, or how much — leading to inaction.
The FOMO Cycle : Rotating into trending coins too early or too late, often abandoning solid positions prematurely.
Analysis Overload : Consuming endless opinions and indicators without ever forming a clear, actionable exit strategy.
These patterns often stem from a lack of structure and planning . Emotional decision-making in volatile markets can be costly — especially with altcoins.
Developing a systematic framework can help define exit levels in advance , aiming to reduce emotional bias and improve decision clarity. The goal is to build disciplined exit strategies based on predefined logic rather than reactive impulses.
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✅ FEATURES & FUNCTIONALITY
This indicator is designed to provide traders with a structured framework for exit planning. It aims to reduce decision-making under pressure by offering a visual roadmap on the chart.
The tool provides an analysis of key data points, including:
Structured Analysis : The indicator evaluates asset strength, identifies potential market phases, and derives potential exit levels from historical price behavior. This analysis may help traders assess whether an asset shows characteristics of strength (e.g., potential for extended targets) or weakness (e.g., early exit signals).
Actionable Information : It generates specific price levels and quantities for consideration as part of a predefined exit strategy.
Proactive Alerts : The system includes configurable alerts that can notify users as prices approach these key levels, allowing time for preparation. This feature is intended to support a shift from reactive trading toward systematic, criteria-based exit planning.
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✅ HOW IT WORKS - AUTOMATED ANALYSIS & PLANNING
This indicator is designed to automate key aspects of exit planning that would otherwise require manual effort:
Fibonacci Level Calculation & Plotting : Automatically identifies key historical cycle points (e.g., bear market lows, bull market highs, recent pullbacks) and calculates relevant Fibonacci levels (both "Fib Retracments" from previous cycle ATH to bear market bottom, and "Fib. extensions" - considering major price impulses/waves in current bull market). This may help reduce manual drawing errors and streamline target identification.
Automated Calculation and Plotting of "Fib. Retracement "Levels
(from ATH of previous cycle to bottom in bear market)
Fibonacci retracement levels are a popular tool used in technical analysis to identify potential support and resistance levels in a market. After a significant price move, traders look for the price to "retrace" or pull back to one of several key Fibonacci ratios of the original move before continuing in its original direction. The most common retracement levels are 23.6%, 38.2%, 50%, 61.8%, and 78.6%. These levels are static horizontal lines on a chart, and their predictive power is based on the idea that they are "areas of interest" where a trend might pause or reverse.
Automated Calculation and Plotting of "Fib. Extension" Levels
(Price Impulses/Waves within current Bull Market)
Fibonacci extension levels are used to identify potential price targets or profit zones once a market has moved past its previous high or low. Unlike retracements, which measure a pullback, extensions project how far a trend might continue in the direction of its impulse move. They are typically used to anticipate where a wave or a rally might end and are based on ratios like 127.2%, 161.8%, 261.8%, and sometimes even higher. Extensions are a key tool for traders looking to set price targets for taking profits.
Coin Strength Assessment: Evaluates recovery performance relative to previous cycle peaks and classifies assets into four categories (Weak, Average, Strong, Outlier). Strength ratings may adjust dynamically based on momentum conditions — all derived from price data.
Market Phase Detection : Continuously monitors trend indicators, volume behavior, and altseason dynamics to estimate the current market phase. This may assist in contextualizing exit decisions without requiring manual phase analysis.
Exit Level Generation : Based on the asset’s strength classification and selected strategy (Conservative, Balanced, Aggressive), the system generates sequential exit levels with suggested percentages and quantities. Designed to support structured planning across three stages.
Signal Detection : Tracks multiple conditions — including price extensions, volume surges, momentum shifts, and cycle patterns — to generate alerts when predefined criteria are met.
Emergency Exit Detection : Scans for rare but high-risk scenarios (e.g., cycle top formations with multiple confluences) that may warrant immediate attention. Alerts are designed to highlight potential overextension during volatile phases.
Transfer Alerts : Calculates proximity to key exit zones and may issue early warnings to prepare for execution (e.g., moving assets from cold storage to exchanges), aiming to reduce last-minute decision pressure.
The script operates in two distinct modes:
Coin Analysis Mode Displays automatically-calculated Fibonacci levels, asset strength classification, market phase estimation, and contextual risk factors — designed to support structured analysis.
Exit Plan Mode Generates a customizable exit strategy with calculated price levels, suggested quantities, and potential outcome scenarios — aiming to assist with disciplined planning and reduce emotional bias.
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✅ SETUP & INSTALLATION
Step 1: Chart Setup
Add the indicator to your altcoin USD chart (e.g., spot market pairs).
Recommended timeframe: 3 days for signal clarity.
Dark theme suggested for visual contrast.
Step 2: Configure Your Exit Strategy
Open Settings → “Setup Your Exit Plan”
Choose your strategy: Conservative: Prioritizes earlier exits for stricter risk control; Balanced: Combines early and late exits for a mixed approach; Aggressive: Targets later exits, accepting potentially higher volatility.
Input your asset quantity.
(Optional) Set a minimum sell price to block exit signals below your defined threshold.
(Optional) Set a sell-now price to trigger a sell alert when your exit target is reached, bypassing intermediate levels.
Step 3: Choose Display Mode
Coin Analysis Mode: View market conditions, strength classification, Fibonacci levels, and contextual risk insights. Designed to support monitoring and signal validation.
Exit Plan Mode: Displays your structured exit roadmap with suggested price levels, quantities, and visual chart overlays. Focuses on execution and planning.
Step 4: Set Up Alerts (Recommended)
Click the “Alert” button on the chart.
Select “Altcoins Exit Planner” as the condition.
Choose alert type: Planned Exit, Emergency Exit, Transfer Alert, Local Top, Trend Change
Set expiration to “Open-ended”
Configure your preferred notification method.
Alert Types Include:
Planned Exit Alerts: Triggered when suggested exit levels are reached (Exit #1, #2, #3).
Emergency Exit Alerts: Highlight potential cycle tops or full-exit conditions.
Transfer Alerts: Advance notice to prepare for execution (e.g., moving assets to exchanges).
Local Top Alerts: Short-term pullback signals for tactical decisions.
Trend Change Alerts: Indicate potential market phase transitions.
Once configured, the indicator begins analyzing and may notify you when exit conditions align with your selected strategy.
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✅ USER INTERFACE
The interface is organized into two primary modes:
1) Coin Analysis Mode
Analysis Table Includes:
Fibonacci levels with price targets and percentage differentials
Market trend status (e.g., Strong Bull, Weakening Bull, Bear Market)
Volume behavior (Normal / Abnormal)
Price extension status (Overextended / Within range)
Altseason detection
Coin strength classification
Reversal risk assessment (Low / Average / High)
Suggested action based on current conditions
Visual Elements:
Bull/Bear trend EMA line
Volume-based candle coloring (overrides default chart candles)
Pivot points for key structural levels
Selectable Fibonacci extension/retracement lines
Background highlighting during altseason periods (potential cycle peak phase)
2) Exit Plan Mode
Exit Plan Table Displays:
Suggested quantity to sell at each exit level
Estimated portfolio value in USD
Structured exit plan with Fibonacci levels, percentages, quantities, and projected amounts
Average exit price calculation
Potential outcome scenarios if all exit levels are reached
Price Lines:
Individual exit level markers with contextual details
Average exit price reference line
Minimum sell price line (if enabled)
Sell-now price line (if enabled)
Signal Indicators:
Blue diamonds: Planned exit levels reached
Red triangles: Cycle top warnings
Orange triangles: Local top signals
These elements are designed to assist with visual interpretation and structured decision-making. All outputs are derived from price data and user-defined settings.
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✅ LIMITATIONS
Market Cycle Dependency: This indicator is designed for cryptocurrency market cycles and will not perform similarly in other asset classes or market conditions. Its logic is based on historical crypto behavior, which may not repeat.
Assumption-Based Framework: The methodology relies on assumptions about market cycles, Fibonacci relationships, and altcoin behavior patterns. These assumptions may not hold under future conditions.
User Responsibility
All signals require user interpretation and decision-making.
The indicator provides information, not investment advice.
Signals should be validated with additional analysis.
Position sizing and risk management remain the user's responsibility.
Technical Requirements
Intended for use on the 3-day timeframe.
Designed for altcoin/USD trading pairs.
Requires sufficient historical data for Fibonacci calculations.
May not function properly on newly listed assets with limited price history.
Risk Management Guidelines. Recommended practices include:
Use with limited portions of your portfolio.
Combine with other technical and fundamental tools.
Consider broader market context beyond indicator signals.
Maintain independent stop-loss levels.
Review and adjust settings as market conditions evolve.
Signal Interpretation
Emergency signals highlight conditions that may warrant immediate review.
Planned exits support gradual, structured position reduction.
Transfer alerts provide preparation time before potential execution.
Local top signals may assist short-term tactical decisions.
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✅ DISCLAIMER
This indicator is for educational and informational purposes only . It does not constitute financial, investment, or trading advice.
The indicator:
Makes no guarantees about future market performance.
Cannot predict market movements with certainty.
May generate false signals or miss key developments.
Relies on historical patterns that may not repeat.
Should not be used as the sole basis for trading decisions.
Users are responsible for:
Conducting independent research and analysis.
Understanding the risks of cryptocurrency trading.
Making their own investment/divestment decisions.
Managing position sizes and risk exposure appropriately.
Cryptocurrency trading involves substantial risk and may not be suitable for all investors. Past performance does not guarantee future results. Users should only invest what they can afford to lose and consult qualified professionals before making financial decisions.
The indicator’s assumptions may be invalidated by changing market conditions.
By using this tool, users acknowledge these limitations and accept full responsibility for their trading decisions.
Fed Rate Change Impact📊 Fed Rate Change Impact — Macro Event-Driven Indicator
Fed Rate Change Impact is an advanced indicator designed to analyze the impact of Federal Reserve interest rate changes on financial markets. It integrates event-driven logic with dynamic visualization, percentage diagnostics, and multi-asset selection, offering a clear and customizable view of post-event effects.
🔍 Key Features 📅 Preloaded Fed Events : Includes over 30 historical rate cut (↓) and hike (↑) dates from 2008 to 2024.
📈 Post-Event Analysis : Calculates the percentage change of the selected asset 5, 10, and 30 days after each event.
📌 Vertical Chart Lines : Visually highlights each event directly on the chart, with dynamic coloring (red for hikes, green for cuts).
📋 Diagnostic Table : Displays real-time impact for each event, with color-coded values and a compact layout.
🧠 Interactive Filter: Choose to display only hikes, only cuts, or both.
🧭 Flexible Asset Selection : Analyze the current chart asset, pick from a predefined list, or manually input any ticker via input.symbol().
🎯 Contextual Highlighting : The table highlights the analyzed asset if it matches the active chart symbol.
⚙️ Customizable Parameters lookahead5, lookahead10, lookahead30: Define the time horizon for measuring post-event impact.
eventFilter : Choose which type of events to display.
presetAsset / customAsset : Select or input the asset to analyze.
🧪 Recommended Use Cases Macroeconomic analysis on indices, commodities, crypto, and forex
Studying delayed effects of rate changes on sensitive assets
Building event-driven strategies or diagnostic overlays
Visual backtesting and cross-asset comparison
🧠 Technical Notes The indicator is compatible with overlay=true and works best on Daily timeframe.
The table automatically adapts to the number of events and includes visual padding for improved readability.
All calculations are performed in real time and require no external data.
Expected Value Monte CarloI created this indicator after noticing that there was no Expected Value indicator here on TradingView.
The EVMC provides statistical Expected Value to what might happen in the future regarding the asset you are analyzing.
It uses 2 quantitative methods:
Historical Backtest to ground your analysis in long-term, factual data.
Monte Carlo Simulation to project a cone of probable future outcomes based on recent market behavior.
This gives you a data-driven edge to quantify risk, and make more informed trading decisions.
The indicator includes:
Dual analysis: Combines historical probability with forward-looking simulation.
Quantified projections: Provides the Expected Value ($ and %), Win Rate, and Sharpe Ratio for both methods.
Asset-aware: Automatically adjusts its calculations for Stocks (252 trading days) and Crypto (365 days) for mathematical accuracy.
The projection cone shows the mean expected path and the +/- 1 standard deviation range of outcomes.
No repainting
Calculation:
1. Historical Expected Value:
This is a systematic backtest over thousands of bars. It calculates the return Rᵢ for N past trades (buy-and-hold). The Historical EV is the simple average of these returns, giving a baseline performance measure.
Historical EV % = (Σ Rᵢ) / N
2. Monte Carlo Projection:
This projection uses the Geometric Brownian Motion (GBM) model to simulate thousands of future price paths based on the market's recent behavior.
It first measures the drift (μ), or recent trend, and volatility (σ), or recent risk, from the Projection Lookback period. It then projects a final return for each simulation using the core GBM formula:
Projected Return = exp( (μ - σ²/2)T + σ√T * Z ) - 1
(Where T is the time horizon and Z is a random variable for the simulation.)
The purple line on the chart is the average of all simulated outcomes (the Monte Carlo EV). The cone represents one standard deviation of those outcomes.
The dashed lines represent one standard deviation (+/- 1σ) from the average, forming a cone of probable outcomes. Roughly 68% of the simulated paths ended within this cone.
This projection answers the question: "If the recent trend and volatility continue, where is the price most likely to go?"
Here's how to read the indicator
Expected Value ($/%): Is my average trade profitable?
Win Rate: How often can I expect to be right?
Sharpe Ratio: Am I being adequately compensated for the risk I'm taking?
User Guide
Max trade duration (bars): This is your analysis timeframe. Are you interested in the probable outcome over the next month (21 bars), quarter (63 bars), or year (252 bars)?
Position size ($): Set this to your typical trade size to see the Expected Value in real dollar terms.
Projection lookback (bars): This is the most important input for the Monte Carlo model. A short lookback (e.g., 50) makes the projection highly sensitive to recent momentum. Use this to identify potential recency bias. A long lookback (e.g., 252) provides a more stable, long-term projection of trend and volatility.
Historical Lookback (bars): For the historical backtest, more data is always better. Use the maximum that your TradingView plan allows for the most statistically significant results.
Use TP/SL for Historical EV: Check this box to see how the historical performance would have changed if you had used a simple Take Profit and Stop Loss, rather than just holding for the full duration.
I hope you find this indicator useful and please let me know if you have any suggestions. 😊
DCA Cost Basis (with Lump Sum)DCA Cost Basis (with Lump Sum) — Pine Script v6
This indicator simulates a Dollar Cost Averaging (DCA) plan directly on your chart. Pick a start date, choose how often to buy (daily/weekly/monthly), set the per-buy amount, optionally add a one-time lump sum on the first date, and visualize your evolving average cost as a VWAP-style line.
Features
Customizable DCA Plan — Set Start Date , buy Frequency (Daily / Weekly / Monthly), and Recurring Amount (in quote currency, e.g., USD).
Lump Sum Option — Add a one-time lump sum on the very first eligible date; recurring DCA continues automatically after that.
Cost Basis Line — Plots the live average price (Total Cost / Total Units) as a smooth, VWAP-style line for instant breakeven awareness.
Buy Markers — Optional triangles below bars to show when simulated buys occur.
Performance Metrics — Tracks:
Total Invested (quote)
Total Units (base)
Cost Basis (avg entry)
Current Value (mark-to-market)
CAGR (Annualized) from first buy to current bar
On-Chart Summary Table — Displays Start Date, Plan Type (Lump + DCA or DCA only), Total Invested, and CAGR (Annualized).
Data Window Integration — All key values also appear in the Data Window for deeper inspection.
Why use it?
Visualize long-term strategies for Bitcoin, crypto, or stocks.
See how a lump sum affects your average entry over time.
Gauge breakeven at a glance and evaluate historical performance.
Note: This tool is for educational/simulation purposes. Results are based on bar closes and do not represent live orders or fees.
Strategic Omega Portfolio System | QuantumResearchStrategic Omega Portfolio System | QuantumResearch
What it does
The Strategic Omega Portfolio System builds a rules-based multi-asset portfolio that adapts position and weight across up to five tickers (defaults: BTC, ETH, SOL, SUI + a spare slot).
It combines:
a trend/participation filter per asset, and
a two-pillar allocator (performance-quality via Omega and risk parity via inverse volatility).
The output is an evolving portfolio equity curve with a companion table showing signals, weights, and performance metrics.
How it works (principle, no hidden math)
1) Trend Participation (TPI)
Each asset is passed through an adaptive oscillator that gauges how far price has stretched relative to volume-weighted value and adapts its thresholds to current volatility.
When the oscillator exceeds its adaptive upper threshold → participate Long in that asset.
When it falls below the lower threshold → participate Short (or reduce/offset risk).
This focuses exposure on regimes with directional momentum rather than constant holding.
2) Weight Engine = Omega (quality) × Risk Parity (risk)
Omega weighting: Assets with a better gain/loss profile (more upside vs downside in recent returns) receive higher weight. This rewards asymmetric return quality, not just high average returns.
Risk-parity weighting: In parallel, weights are computed from inverse realized volatility of each asset’s strategy equity, so more volatile legs contribute less risk.
Blend: The system averages the Omega and risk-parity weights to get a balanced allocation.
Sign overlay: Final weights inherit the sign of each asset’s TPI (Long if trend-up, Short if trend-down), so exposure direction follows regime while size follows quality and risk.
3) Execution assumptions (inside the script)
Daily compounding of portfolio equity using the weighted sum of asset strategy returns.
Slippage is modeled in the entry/exit routine when positions flip.
You can include/exclude assets 3–5 from the blend.
Everything is computed on-chart; no external links or dependencies are required to understand usage.
What you see on the chart
System equity curve (optionally shaded): the portfolio’s compounded value since your chosen backtest start date.
Metrics table (toggleable): shows for each asset
Position (Long/Short from TPI),
Risk-parity weight, Omega weight, Final % allocation,
Each asset’s strategy equity multiple (x).
It also shows system-level metrics: return multiple, Sharpe, Sortino, Omega, and max equity drawdown.
How to use it
Select your assets (inputs accept any symbols).
Pick a backtest start date relevant to your horizon.
Optionally toggle assets 3–5 and tune the TPI sensitivity and lookback/thresholds if you want a faster or slower regime filter.
Read the table:
Prefer assets with Long TPI and higher final % allocation when you want to lean risk-on.
If several assets are Short, the system will naturally reduce or offset exposure.
Use the system equity and drawdown to sanity-check whether the configuration fits your risk tolerance.
Why this is different (originality & value)
It does not allocate on simple momentum ranks alone or a single classic indicator.
It separates participation (trend regime) from sizing (quality × risk), which helps avoid over-allocating to noisy uptrends or under-allocating to durable ones.
The Omega component prioritizes asymmetric payoffs, not just average returns, while risk parity normalizes contribution so one asset doesn’t dominate portfolio risk.
The adaptive VWMA oscillator uses volatility-responsive thresholds, aiming to reduce whipsaws compared with static bands.
Clean-chart guidance (publishing)
Publish with a clean chart (no unrelated indicators). If you add drawings, explain how they map to positions, weights, or equity. The script stands on its own; no external materials are required to understand intent and usage.
Inputs you can tune
Assets 1–5 (symbols).
Backtest Start Date.
Include/Exclude assets 3–5.
TPI controls.
Risk-parity window (volatility lookback).
Table/System plot toggles.
Limitations & best practices
Works best when assets exhibit persistent trends; allocation will churn more in choppy conditions.
Weights and signs are conditional on the last confirmed bar; intra-bar changes may differ.
Results are sensitive to lookbacks, start date, and asset mix—treat them as parameters to test, not absolutes.
Disclaimer
This script is for research and educational purposes only and is not financial advice. Markets involve risk. Past performance does not predict or guarantee future results. Always validate settings on your instruments and use prudent risk management.
Delta Drift Allocator - StrategySummary
Bar-close, drift-based allocation alerts that keep exposure centered around a user-set base with full compounding by default. One alert per bar close. Non-repainting. Invite-Only.
Description
Delta Drift Allocator monitors how far current exposure drifts from a reference profile. When drift exceeds your threshold, it issues a single bar-close instruction (BUY/SELL with quantity) to nudge exposure back toward center. The emphasis is path discipline—rules that react to swings without predicting direction—plus a simple one-alert workflow.
A start-sync input lets you align the script with your actual initial fill so subsequent sizes match your account. Profit handling supports Reinvest (compound) or Skim to base (bookkeep excess).
How to use (overview)
Add to chart (recommended timeframe: 4h).
Set Inputs: drift threshold, min notional, start method (Auto or Manual sync at your bar-close time + filled units).
Create one alert: This strategy → Any alert() function call, Once per bar close. Leave Message empty.
Execute externally: place BUY/SELL for exactly the shown qty (manual or your own webhook executor outside TradingView).
Note: A detailled manual is provided after purchase.
Why traders choose it
Bar-close discipline (no intra-bar churn, non-repainting)
Drift-responsive adjustments that can harvest parts of oscillations
Full compounding by default; optional “skim to base” bookkeeping
Start-sync to match real fills; minimal panel plots you can hide
Access (Invite-Only)
To request access, send me a PM on TradingView. You’ll receive detailled information about the process.
Note: Requests for older strategies are no longer processed—please refer to this release only.
Compliance
Signals only; the script does not place orders or read balances. Backtests are approximations and are not indicative of future results. Markets involve risk, including possible loss. Extended one-way advances can lag all-in exposure; starting right after strong rallies may show initial drawdowns.
TF Sys-1Richard Dennis (Prince of the Pit) invested 1,600 dollar and reportedly made 350 Million dollars (within 10 years). The key is that, fortunes are caught by catching the big moves and catching them before they are plainly visible to the crowd.
This Trend Following Indicator combine both Trend Following Calculation and Stage Analysis to provide the clarity of trend direction and the complete plan how to trade by risking only 2%. It provides the position sizing, breakout location, stop loss and Pyramiding strategy (Conservative or Aggressive). I will provide a complete guide how to utilize the indicator and trend following Philosophy in my store in Whop.
Next time, when someone recommend any ticker you will see in which stage the ticker is and the breakout point. This indicator will not provide financial advice, it is a tool for decision making and your partner to achieve your goal (to be a successful trend following trader) where fortune lays.
Position Sizing Calculator with ADR%, Account %, and RSILET ME KNOW IN COMMENTS IF YOU HAVE ANY ISSUES!
Overview
The Position Sizing Calculator with ADR% + RSI is a indicator that helps traders calculate position sizes based on risk management parameters (stop loss at low of day). It uses a fixed percentage of the account size, risk per trade, and stop loss distance (current price minus daily low) to determine the number of shares or contracts to trade. Additionally, it displays the Average Daily Range (ADR) as a percentage, the Relative Strength Index (RSI), and the price’s percentage distance from the daily low in a real-time table.
Features
Position Sizing: Calculates position size based on a fixed account percentage, risk per trade, and stop loss distance, ensuring the position value stays within the allocated capital.
ADR% Display: Shows the ADR as a percentage of the daily low, colored green if >5% or red if ≤5%.
RSI Display: Shows the RSI, colored green if oversold (<30), red if overbought (>70), or gray otherwise.
Distance from Low: Displays the current price’s percentage distance from the daily low for context.
Real-Time Table: Presents all metrics in a top-right table, updating in real-time.
Position Value Cap: Ensures the position value doesn’t exceed the allocated capital.
Minimum Stop Loss: Prevents oversized positions due to very small stop loss distances.
Customizable Parameters
Account Size ($): Set the total account balance (default: $1,000, min: $100, step: $100).
Risk Per Trade (%): The percentage of allocated capital to risk per trade (default: 1%, range: 0.1% to 10%, step: 0.1%).
Max % of Account: The fixed percentage of the account to allocate for the trade (default: 50%, range: 10% to 100%, step: 1%).
ADR Period: The number of days to calculate the ADR (default: 14, min: 1, step: 1).
RSI Length: The period for RSI calculation (default: 14, min: 1, step: 1).
Min Stop Loss Distance ($): The minimum stop loss distance to prevent oversized positions (default: $0.01, min: $0.001, step: $0.001).
Calculations
Stop Loss Distance: Current price minus daily low, with a minimum value set by the user.
Position Size: (Account Size * Max % of Account * Risk Per Trade %) / Stop Loss Distance, capped so the position value doesn’t exceed the allocated capital.
ADR%: 100 * (SMA(daily high / daily low, ADR Period) - 1), reflecting the average daily range relative to the low.
RSI: Calculated using the smoothed average of gains and losses over the RSI period, with special handling for zero gains or losses.
Distance from Low: (Current Price - Daily Low) / Daily Low * 100.
Table Display
Account Size: The input account balance.
Risk Per Trade: The risk percentage.
Stop Loss Distance: The price difference between the current price and daily low.
Distance from Low: The percentage distance from the daily low.
Account % Used: The fixed percentage of the account allocated.
Position Size: The calculated number of shares or contracts.
Position Value: The position size multiplied by the current price.
ADR %: The ADR percentage, colored green (>5%) or red (≤5%).
RSI: The RSI value, colored green (<30), red (>70), or gray (30–70).
Usage
Ideal for traders managing risk by allocating a fixed portion of their account and sizing positions based on stop loss distance.
The ADR% and RSI provide market context, with color coding to highlight high volatility or overbought/oversold conditions.
Adjust the customizable parameters to fit your trading style, such as increasing the risk percentage for aggressive trades or adjusting the ADR/RSI periods for different time horizons.
Mavi## Core System Structure and Operating Principle
This advanced trading system adopts a multi-dimensional approach to market analysis. Centering on two main trend-following mechanisms, it supports them with 12 different technical analysis tools. Its fundamental philosophy is to simultaneously evaluate different aspects of the market rather than relying on a single indicator. The main signal systems constitute 70% of the total decision, while supporting indicators complete the remaining 30%. Thanks to this mathematical weighting, false signals are minimized while strong market movements are captured early.
The system's most remarkable feature is its automatic calculation of optimal entry points for each trade. During this calculation, the current price position, volatility status, momentum indicators, and critical technical levels are evaluated together. A dynamic algorithm is used to ensure you enter the market at the most suitable price, and this entry point is continuously updated.
## Risk Management and Capital Protection
Risk management is a fundamental element embedded in this system's DNA. Before each trade, the stop loss level is automatically calculated based on volatility, and you are presented with three different profit targets. These targets are determined to optimize the risk/reward ratio. The system recommends risking only 2% of your capital per trade and calculates your position size according to this rule. The profit-taking strategy is based on the principle of graduated exits: 50% of the position at the first target, 30% at the second target, and the remaining 20% at the third target. This approach both protects profits and offers the opportunity to benefit from trend continuation.
Stop loss levels are dynamically adjusted according to the market's current volatility. When volatility increases, the stop distance widens; when it decreases, it narrows. This reduces the risk of unnecessary stops while providing protection against major losses. Additionally, the risk/reward ratio is calculated for each trade, and if this ratio is below 1:2, opening a trade is not recommended.
## Market Condition Analysis and Adaptive Strategy
The system classifies the market into three different regimes: trending, ranging, and consolidation. Different trading strategies are recommended for each regime. During trending periods, more weight is given to signals in the trend direction, and momentum indicators are emphasized. In ranging markets, trading from support and resistance levels is recommended, and overbought/oversold zones receive more attention. During consolidation periods, a major upcoming movement is anticipated, and taking positions in the breakout direction is advised.
Market regime detection is performed by evaluating multiple indicators together. The market's current character is determined by analyzing trend strength, volatility level, volume behavior, and momentum indicators. Through this detection, the appropriate strategy for each market condition is automatically activated.
## Confidence Score and Decision-Making Mechanism
One of this system's most innovative features is the confidence score calculation for each signal. This score is determined by taking the weighted average of 14 different technical indicators and ranges from 0-100. If the confidence score is below 35%, opening a trade is not recommended. The higher the score, the more reliable the signal. Visually represented by stars, this score enables quick decision-making.
The decision-making mechanism adopts an objective and mathematical approach. After all indicators are analyzed, you are presented with a clear recommendation: strong buy, buy, strong sell, sell, or wait. These recommendations are based solely on technical data, completely eliminating emotional factors. This enables disciplined trading free from emotions such as fear and greed.
## Volume and Money Flow Analysis
Volume analysis is an integral part of the system. Metrics such as relative volume, money flow index, accumulated volume indicator, and volume change rate are continuously monitored. Signals are found to be more reliable when trading occurs at more than twice the normal volume. Z-score analysis, particularly used to detect institutional activity, enables you to catch big players' market entries early.
Money flow indicators determine the direction of capital entering or leaving the market. Positive money flow indicates buying pressure, while negative money flow shows selling pressure. By detecting discrepancies between money flow and price movement, potential reversal points are signaled in advance. The combined evaluation of volume and money flow analysis improves signal quality and filters out false breakouts.
## Momentum and Strength Indicators
Momentum analysis enables you to understand the market's internal dynamics. By evaluating the relative strength index, stochastic oscillator, and momentum indicators together, the market's overbought or oversold condition is detected. Trend strength analysis provides information about the sustainability of the current movement. In strong trends, maintaining positions in the trend direction is recommended, while profit realization is advised in weak trends.
Divergence analysis of momentum indicators detects potential reversal points early. If momentum indicators show decline while price makes new highs, this signals trend weakening. Such discrepancies are automatically detected and you are alerted.
## Moving Averages and Trend Analysis
Short, medium, and long-term trends are analyzed using moving averages of different periods. These averages, based on Fibonacci numbers, create natural support and resistance levels. Alignment of all averages in the same direction confirms strong trend presence. Major crossovers are automatically detected and evaluated as harbingers of significant trend changes.
The distance between moving averages is an indicator of trend strength. As averages diverge from each other, the trend strengthens; as they converge, it weakens. This dynamic is continuously monitored, and when the trend weakens, reducing positions or profit realization is recommended.
## Institutional Pattern Recognition
The system automatically detects special formations used by professional investors. Patterns indicating institutional accumulation, such as Spring and UTAD, are evaluated together with large volume movements. A minimum 20-bar cooldown period is applied in detecting these patterns to filter false signals. The Spring pattern indicates potential bottoms and uptrend beginnings, while the UTAD pattern signals tops and downtrend beginnings.
## Practical Use and Application
When you start using the indicator, you should first follow the two main panels in the right corners. The upper panel contains risk management and final decision recommendations, while the lower panel provides detailed market analysis. If there's a high confidence score and a clear signal, you can open a trade from the determined entry point. Always use the recommended stop loss level and stick to profit targets.
You may need to use different parameters in different timeframes. More sensitive settings are preferred for short-term trades, while broader parameters are chosen for long-term trades. Optimized default values are provided for each timeframe, but you can fine-tune according to your own experience.
## Conclusion
This comprehensive trading system is a sophisticated solution developed against the complexity of modern markets. With multiple analysis layers, automatic risk management, and an objective scoring system, it minimizes emotional decisions and enables systematic trading. The system shows you the way, but the final decision is always yours. Disciplined use, patience, and adherence to risk management rules are the keys to long-term success.
The most important rule to remember when trading is that no system is perfect and there are no guarantees in the market. Therefore, always prioritize capital management and only trade with money you can afford to lose. You are provided with professional-level analysis capabilities, but discipline, patience, and continuous learning are essential for success.
Mato Trading Final Trend Score & Alignment (10-Criteria, 0–100)My trend definition is a systematic approach to identify market trends using 10 equally weighted criteria per timeframe, derived from historical prices, historical volatilities and a time projection factor.
The scoring system ranges from 0 (strong short signal) to 100 (strong long signal).
A trigger for a trend signal is generated when all specified timeframes—1-minute, 5-minute, 15-minute, 30-minute, 1-hour, 2-hour, 4-hour, daily, weekly, monthly, and 3-month—align to produce the same directional signal (long or short).
LeTa Pro## Core System Structure and Operating Principle
This advanced trading system adopts a multi-dimensional approach to market analysis. Centering on two main trend-following mechanisms, it supports them with 12 different technical analysis tools. Its fundamental philosophy is to simultaneously evaluate different aspects of the market rather than relying on a single indicator. The main signal systems constitute 70% of the total decision, while supporting indicators complete the remaining 30%. Thanks to this mathematical weighting, false signals are minimized while strong market movements are captured early.
The system's most remarkable feature is its automatic calculation of optimal entry points for each trade. During this calculation, the current price position, volatility status, momentum indicators, and critical technical levels are evaluated together. A dynamic algorithm is used to ensure you enter the market at the most suitable price, and this entry point is continuously updated.
## Risk Management and Capital Protection
Risk management is a fundamental element embedded in this system's DNA. Before each trade, the stop loss level is automatically calculated based on volatility, and you are presented with three different profit targets. These targets are determined to optimize the risk/reward ratio. The system recommends risking only 2% of your capital per trade and calculates your position size according to this rule. The profit-taking strategy is based on the principle of graduated exits: 50% of the position at the first target, 30% at the second target, and the remaining 20% at the third target. This approach both protects profits and offers the opportunity to benefit from trend continuation.
Stop loss levels are dynamically adjusted according to the market's current volatility. When volatility increases, the stop distance widens; when it decreases, it narrows. This reduces the risk of unnecessary stops while providing protection against major losses. Additionally, the risk/reward ratio is calculated for each trade, and if this ratio is below 1:2, opening a trade is not recommended.
## Market Condition Analysis and Adaptive Strategy
The system classifies the market into three different regimes: trending, ranging, and consolidation. Different trading strategies are recommended for each regime. During trending periods, more weight is given to signals in the trend direction, and momentum indicators are emphasized. In ranging markets, trading from support and resistance levels is recommended, and overbought/oversold zones receive more attention. During consolidation periods, a major upcoming movement is anticipated, and taking positions in the breakout direction is advised.
Market regime detection is performed by evaluating multiple indicators together. The market's current character is determined by analyzing trend strength, volatility level, volume behavior, and momentum indicators. Through this detection, the appropriate strategy for each market condition is automatically activated.
## Confidence Score and Decision-Making Mechanism
One of this system's most innovative features is the confidence score calculation for each signal. This score is determined by taking the weighted average of 14 different technical indicators and ranges from 0-100. If the confidence score is below 35%, opening a trade is not recommended. The higher the score, the more reliable the signal. Visually represented by stars, this score enables quick decision-making.
The decision-making mechanism adopts an objective and mathematical approach. After all indicators are analyzed, you are presented with a clear recommendation: strong buy, buy, strong sell, sell, or wait. These recommendations are based solely on technical data, completely eliminating emotional factors. This enables disciplined trading free from emotions such as fear and greed.
## Volume and Money Flow Analysis
Volume analysis is an integral part of the system. Metrics such as relative volume, money flow index, accumulated volume indicator, and volume change rate are continuously monitored. Signals are found to be more reliable when trading occurs at more than twice the normal volume. Z-score analysis, particularly used to detect institutional activity, enables you to catch big players' market entries early.
Money flow indicators determine the direction of capital entering or leaving the market. Positive money flow indicates buying pressure, while negative money flow shows selling pressure. By detecting discrepancies between money flow and price movement, potential reversal points are signaled in advance. The combined evaluation of volume and money flow analysis improves signal quality and filters out false breakouts.
## Momentum and Strength Indicators
Momentum analysis enables you to understand the market's internal dynamics. By evaluating the relative strength index, stochastic oscillator, and momentum indicators together, the market's overbought or oversold condition is detected. Trend strength analysis provides information about the sustainability of the current movement. In strong trends, maintaining positions in the trend direction is recommended, while profit realization is advised in weak trends.
Divergence analysis of momentum indicators detects potential reversal points early. If momentum indicators show decline while price makes new highs, this signals trend weakening. Such discrepancies are automatically detected and you are alerted.
## Moving Averages and Trend Analysis
Short, medium, and long-term trends are analyzed using moving averages of different periods. These averages, based on Fibonacci numbers, create natural support and resistance levels. Alignment of all averages in the same direction confirms strong trend presence. Major crossovers are automatically detected and evaluated as harbingers of significant trend changes.
The distance between moving averages is an indicator of trend strength. As averages diverge from each other, the trend strengthens; as they converge, it weakens. This dynamic is continuously monitored, and when the trend weakens, reducing positions or profit realization is recommended.
## Institutional Pattern Recognition
The system automatically detects special formations used by professional investors. Patterns indicating institutional accumulation, such as Spring and UTAD, are evaluated together with large volume movements. A minimum 20-bar cooldown period is applied in detecting these patterns to filter false signals. The Spring pattern indicates potential bottoms and uptrend beginnings, while the UTAD pattern signals tops and downtrend beginnings.
## Practical Use and Application
When you start using the indicator, you should first follow the two main panels in the right corners. The upper panel contains risk management and final decision recommendations, while the lower panel provides detailed market analysis. If there's a high confidence score and a clear signal, you can open a trade from the determined entry point. Always use the recommended stop loss level and stick to profit targets.
You may need to use different parameters in different timeframes. More sensitive settings are preferred for short-term trades, while broader parameters are chosen for long-term trades. Optimized default values are provided for each timeframe, but you can fine-tune according to your own experience.
## Conclusion
This comprehensive trading system is a sophisticated solution developed against the complexity of modern markets. With multiple analysis layers, automatic risk management, and an objective scoring system, it minimizes emotional decisions and enables systematic trading. The system shows you the way, but the final decision is always yours. Disciplined use, patience, and adherence to risk management rules are the keys to long-term success.
The most important rule to remember when trading is that no system is perfect and there are no guarantees in the market. Therefore, always prioritize capital management and only trade with money you can afford to lose. You are provided with professional-level analysis capabilities, but discipline, patience, and continuous learning are essential for success.
Extended Majors Rotation System | AlphaNattExtended Majors Rotation System | AlphaNatt
A sophisticated cryptocurrency rotation system that dynamically allocates capital to the strongest trending major cryptocurrencies using multi-layered relative strength analysis and adaptive filtering techniques.
"In crypto markets, the strongest get stronger. This system identifies and rides the leaders while avoiding the laggards through mathematical precision."
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📊 SYSTEM OVERVIEW
The Extended Majors Rotation System (EMRS) is a quantitative momentum rotation strategy that:
Analyzes 10 major cryptocurrencies simultaneously
Calculates relative strength between all possible pairs (45 comparisons)
Applies fractal dimension analysis to identify trending behavior
Uses adaptive filtering to reduce noise while preserving signals
Dynamically allocates to the mathematically strongest asset
Implements multi-layer risk management through market regime filters
Core Philosophy:
Rather than trying to predict which cryptocurrency will perform best, the system identifies which one is already performing best relative to all others and maintains exposure until leadership changes.
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🎯 WHAT MAKES THIS SYSTEM UNEQUIVOCALLY UNIQUE
1. True Relative Strength Matrix
Unlike simple momentum strategies that look at individual asset performance, EMRS calculates the complete relative strength matrix between all assets. Each asset is compared against every other asset using fractal analysis, creating a comprehensive strength map of the entire crypto market.
2. Hurst Exponent Integration
The system employs the Hurst Exponent to distinguish between:
Trending behavior (H > 0.5) - where momentum is likely to persist
Mean-reverting behavior (H < 0.5) - where reversals are likely
Random walk (H ≈ 0.5) - where no edge exists
This ensures the system only takes positions when mathematical evidence of persistence exists.
3. Dual-Layer Filtering Architecture
Combines two advanced filtering techniques:
Laguerre Polynomial Filters: Provides low-lag smoothing with minimal distortion
Kalman-like Adaptive Smoothing: Adjusts filter parameters based on market volatility
This dual approach preserves important price features while eliminating noise.
4. Market Regime Awareness
The system monitors overall crypto market conditions through multiple lenses and only operates when:
The broad crypto market shows positive technical structure
Sufficient trending behavior exists across major assets
Risk conditions are favorable
5. Rank-Based Selection with Trend Confirmation
Rather than simply choosing the top-ranked asset, the system requires:
High relative strength ranking
Positive individual trend confirmation
Alignment with market regime
This multi-factor approach reduces false signals and whipsaws.
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🛡️ SYSTEM ROBUSTNESS & DEVELOPMENT METHODOLOGY
Pre-Coding Design Philosophy
This system was completely designed before any code was written . The mathematical framework, indicator selection, and parameter ranges were determined through:
Theoretical analysis of market microstructure
Study of persistence and mean reversion in crypto markets
Mathematical modeling of relative strength dynamics
Risk framework development based on regime theory
No Post-Optimization
Zero parameter fitting: All parameters remain at their originally designed values
No curve fitting: The system uses the same settings across all market conditions
No cherry-picking: Parameters were not adjusted after seeing results
This approach ensures the system captures genuine market dynamics rather than historical noise
Parameter Robustness Testing
Extensive testing was conducted to ensure stability:
Sensitivity Analysis: System maintains positive expectancy across wide parameter ranges
Walk-Forward Analysis: Consistent performance across different time periods
Regime Testing: Performs in both trending and choppy conditions
Out-of-Sample Validation
System was designed on a selection of 10 assets
System was tested on multiple baskets of 10 other random tokens, to simualte forwards testing
Performance remains consistent across baskets
No adjustments made based on out-of-sample results
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📈 PERFORMANCE METRICS DISPLAYED
The system provides real-time performance analytics:
Risk-Adjusted Returns:
Sharpe Ratio: Measures return per unit of total risk
Sortino Ratio: Measures return per unit of downside risk
Omega Ratio: Probability-weighted ratio of gains vs losses
Maximum Drawdown: Largest peak-to-trough decline
Benchmark Comparison:
Live comparison against Bitcoin buy-and-hold strategy
Both equity curves displayed with gradient effects
Performance metrics shown for both strategies
Visual representation of outperformance/underperformance
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🔧 OPERATIONAL MECHANICS
Asset Universe:
The system analyzes 10 major cryptocurrencies, customizable through inputs:
Bitcoin (BTC)
Ethereum (ETH)
Solana (SOL)
XRP
BNB
Dogecoin (DOGE)
Cardano (ADA)
Chainlink (LINK)
Additional majors
Signal Generation Process:
Calculate relative strength matrix
Apply Hurst Exponent analysis to each ratio
Rank assets by aggregate relative strength
Confirm individual asset trend
Verify market regime conditions
Allocate to highest-ranking qualified asset
Position Management:
Single asset allocation (no diversification)
100% in strongest trending asset or 100% cash
Daily rebalancing at close
No leverage employed in base system
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📊 VISUAL INTERFACE
Information Dashboard:
System state indicator (ON/OFF)
Current allocation display
Real-time performance metrics
Sharpe, Sortino, Omega ratios
Maximum drawdown tracking
Net profit multiplier
Equity Curves:
Cyan curve: System performance with gradient glow effect
Magenta curve: Bitcoin HODL benchmark with gradient
Visual comparison of both strategies
Labels indicating current values
Alert System:
Alerts fire when allocation changes
Displays selected asset symbol
"CASH" alert when system goes defensive
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⚠️ IMPORTANT CONSIDERATIONS
Appropriate Use Cases:
Medium to long-term crypto allocation
Systematic approach to crypto investing
Risk-managed exposure to cryptocurrency markets
Alternative to buy-and-hold strategies
Limitations:
Daily rebalancing required
Not suitable for high-frequency trading
Requires liquid markets for all assets
Best suited for spot trading (no derivatives)
Risk Factors:
Cryptocurrency markets are highly volatile
Past performance does not guarantee future results
System can underperform in certain market conditions
Not financial advice - for educational purposes only
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🎓 THEORETICAL FOUNDATION
The system is built on several academic principles:
1. Momentum Anomaly
Extensive research shows that assets exhibiting strong relative momentum tend to continue outperforming in the medium term (Jegadeesh & Titman, 1993).
2. Fractal Market Hypothesis
Markets exhibit fractal properties with periods of persistence and mean reversion (Peters, 1994). The Hurst Exponent quantifies these regimes.
3. Adaptive Market Hypothesis
Market efficiency varies over time, creating periods where momentum strategies excel (Lo, 2004).
4. Cross-Sectional Momentum
Relative strength strategies outperform time-series momentum in cryptocurrency markets due to the high correlation structure.
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💡 USAGE GUIDELINES
Capital Requirements:
Suitable for any account size
No minimum capital requirement
Scales linearly with account size
Implementation:
Can be traded manually with daily signals
Suitable for automation via alerts
Works with any broker supporting crypto
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📝 FINAL NOTES
The Extended Majors Rotation System represents a systematic, mathematically-driven approach to cryptocurrency allocation. By combining relative strength analysis with fractal market theory and adaptive filtering, it aims to capture the persistent trends that characterize crypto bull markets while avoiding the drawdowns of buy-and-hold strategies.
The system's robustness comes not from optimization, but from sound mathematical principles applied consistently. Every component was chosen for its theoretical merit before any backtesting occurred, ensuring the system captures genuine market dynamics rather than historical artifacts.
"In the race between cryptocurrencies, bet on the horse that's already winning - but only while the track conditions favour racing."
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Developed by AlphaNatt | Quantitative Rotation Systems
Version: 1.0
Strategy Type: Momentum Rotation
Classification: Systematic Trend Following
Not financial advice. Always DYOR.
Market Order Risk CalculatorObviously the Long/Short Position tool does this, but when you are scalping, 10 - 15 seconds matters. What matters more than that is defined risk, you dont want your losses being scattered, 300 here 145 there, you want consistent risk to have consistent data.
What this does is when you are framing a trade, it provides a hands off tool that tells you exactly how many contracts to enter with, that way if you have bracket orders on, your stop will be exactly where you want it to be without going over your defined risk.
Risk Management Plan (Shares)What it does
This indicator displays a compact risk-management panel on the chart (middle-right). It helps you size positions, quantify risk in % and $, estimate shares to buy, and derive suggested stop/target prices from your chosen risk and R/R ratio. It also shows the % move from entry to stop/target and a “Max. Share Price (per system)” threshold derived from your accepted loss and R/R.
Why it’s useful
Many losses come from oversizing and inconsistent risk. This panel keeps the key numbers in one place—capital exposure, shares, stop/target math, and % distances—so your trade planning remains disciplined and repeatable.
Inputs
1. Capital Size ($)
2. Position Size (%)
3. Defined Risk (%) on capital
4. R/R Ratio (R:1) – enter R
5. Entry Price ($) (optional; if 0, the script uses close
Calculations (key formulas)
1. Position Size ($) = Capital × Position Size (%)
2. Shares to Buy = floor(Position Size ($) ÷ Entry Price)
3. Defined Risk ($) = Capital × Defined Risk (%)
4. Suggested Stop Price = (Position Size ($) − Defined Risk ($)) ÷ Shares
5. Suggested Target Price = (Position Size ($) + Defined Risk ($) × R) ÷ Shares
6. Entry → Stop (%) = (Entry − Stop) ÷ Entry × 100 (displayed negative)
7. Entry → Target (%) = (Target − Entry) ÷ Entry × 100
8. Max. Share Price (per system) = Position Size ($) × R ÷ |Defined Risk ($)|
How to use
1. Set Capital Size, Position Size (%), Defined Risk (%), and R/R.
2. Optionally set Entry Price (otherwise the script uses the chart’s close).
3. Read the panel: entry (blue), stop values (red), target values (green), risk (%) and ($) displayed negative for clarity.
4. Use Max. Share Price (per system) as a quick threshold check under your risk assumptions.
Note: If the Suggested Target or Suggested Stop is not aligned with your trading plan, adjust Position Size (%), R/R Ratio, and/or Defined Risk (%). The panel will update the levels accordingly so you can match your plan.
Notes & limitations
* Indicator only (no signals or strategy backtest).
* No lookahead/repainting; values depend on user inputs and current chart data.
* Educational use only; trading involves risk. Consider fees, slippage, and market conditions.
Version: v1.0 – Initial release (Pine Script v6)
Linear Regression Trend Navigator [QuantAlgo]🟢 Overview
The Linear Regression Trend Navigator is a trend-following indicator that combines statistical regression analysis with adaptive volatility bands to identify and track dominant market trends. It employs linear regression mathematics to establish the underlying trend direction, while dynamically adjusting trend boundaries based on standard deviation calculations to filter market noise and maintain trend continuity. The result is a straightforward visual system where green indicates bullish conditions favoring buy/long positions, and red signals bearish conditions supporting sell/short trades.
🟢 How It Works
The indicator operates through a three-phase computational process that transforms raw price data into adaptive trend signals. In the first phase, it calculates a linear regression line over the specified period, establishing the mathematical best-fit line through recent price action to determine the underlying directional bias. This regression line serves as the foundation for trend analysis by smoothing out short-term price variations while preserving the essential directional characteristics.
The second phase constructs dynamic volatility boundaries by calculating the standard deviation of price movements over the defined period and applying a user-adjustable multiplier. These upper and lower bounds create a volatility-adjusted channel around the regression line, with wider bands during volatile periods and tighter bands during stable conditions. This adaptive boundary system operates entirely behind the scenes, ensuring the trend signal remains relevant across different market volatility regimes without cluttering the visual display.
In the final phase, the system generates a simple trend line that dynamically positions itself within the volatility boundaries. When price action pushes the regression line above the upper bound, the trend line adjusts to the upper boundary level. Conversely, when the regression line falls below the lower bound, the trend line moves to the lower boundary. The result is a single colored line that transitions between green (rising trend line = buy/long) and red (declining trend line = sell/short).
🟢 How to Use
Green Trend Line: Upward momentum indicating favorable conditions for long positions, buy signals, and bullish strategies
Red Trend Line: Downward momentum signaling optimal timing for short positions, sell signals, and bearish approaches
Rising Green Line: Accelerating bullish momentum with steepening angles indicating strengthening upward pressure and potential for trend continuation
Declining Red Line: Intensifying bearish momentum with increasing negative slopes suggesting persistent downward pressure and shorting opportunities
Flattening Trend Lines: Gradual reduction in slope regardless of color may indicate approaching consolidation or momentum exhaustion requiring position review
🟢 Pro Tips for Trading and Investing
→ Entry/Exit Timing: Trade exclusively on band color transitions rather than price patterns, as each color change represents a statistically-confirmed shift that has passed through volatility filtering, providing higher probability setups than traditional technical analysis.
→ Parameter Optimization for Asset Classes: Customize the linear regression period based on your trading style. For example, use 5-10 bars for day trading to capture short-term statistical shifts, 14-20 for swing trading to balance responsiveness with stability, and 25-50 for position trading to filter out medium-term noise.
→ Volatility Calibration Strategy: Adjust the standard deviation multiplier according to market volatility. For instance, increase to 2.0+ during high-volatility periods like earnings or news events to reduce false signals, decrease to 1.0-1.5 during stable market conditions to maintain sensitivity to genuine trends.
→ Cross-Timeframe Statistical Validation: Apply the indicator across multiple timeframes simultaneously, using higher timeframes for directional bias and lower timeframes for entry timing.
→ Alert-Based Systematic Trading: Use built-in alerts to eliminate discretionary decision-making and ensure you capture every statistically-significant trend change, particularly effective for traders who cannot monitor charts continuously.
→ Risk Allocation Based on Signal Strength: Increase position sizes during periods of strong directional movement while reducing exposure during frequent band color changes that indicate statistical uncertainty or ranging conditions.
IU Trade ManagementDESCRIPTION
IU Trade Management is a powerful utility tool designed to help traders manage their trades with precision and clarity. It provides automated Stop Loss, Take Profit, and Break Even calculations using multiple customizable methods. Along with clear SL/TP plotting on the chart, it also displays a detailed trade status table that tracks every important detail including entry price, SL/TP levels, break-even, PNL, and trade duration. This tool is perfect for traders who want to manage risk and rewards visually and systematically.
USER INPUTS :
-Entry Candle Time: Default 20 Jul 2021 00:00 +0300 (select the candle from which the trade begins)
- Entry Price: Default 2333 (define the price at which the trade is executed)
- Trade Direction: Default Long (choose between Long or Short)
- SL/TP Method: Default ATR (options: ATR, Points/Pips, Percentage %, Standard Deviation, Highest/Lowest, Previous High/Low)
- Risk to Reward: Default 3 (set custom risk-to-reward ratio)
- Use Break Even: Default false (option to enable break-even)
- Plot Break Even Line: Default false (option to display BE line)
- RTR of Break Even Point: Default 2 (factor used for BE calculation)
SL/TP Method Specific Inputs:
- ATR Length: Default 14
- ATR Factor: Default 2
- Points/Pips: Default 100
- Percentage: Default 1%
- Standard Deviation Length: Default 20
- Standard Deviation Factor: Default 2
- Highest/Lowest Length: Default 10
Trade Status Table Settings:
- Show Trade Status: Default true
- Table Size: Default small (options: normal, tiny, small, large)
- Table Position: Default top right
- Frame Width: Default 2
- Table Color: Default black
- Frame Color: Default gray
- Border Width: Default 2
- Border Color: Default gray
- Text Color: Default purple (RGB 212, 0, 255)
HOW TO USE THE INDICATOR:
1. Set the entry candle time and entry price manually.
2. Select whether the trade is Long or Short.
3. Choose the preferred SL/TP calculation method (ATR, Percentage, Points, STD, High/Low, Previous High/Low).
4. Define your risk-to-reward ratio and enable break-even if required.
5. The indicator will automatically plot your Entry, Stop Loss, Take Profit, and Break Even levels on the chart.
6. A detailed trade management table will appear, showing trade direction, SL, TP, PNL (points and %), SL/TP method, and total trade time.
WHY IT IS UNIQUE:
- Offers multiple methods to calculate SL and TP (ATR, Percentage, Points, Standard Deviation, High/Low, Previous High/Low)
- Built-in Break Even functionality for risk-free trade management
- Real-time PNL tracking in both points and percentage
- Trade status table for complete transparency on all trade details
- Visual plotting of SL, TP, and Entry with color-coded zones for clarity
HOW USER CAN BENEFIT FROM IT :
- Helps traders manage risk and reward with discipline
- Eliminates guesswork by automating SL and TP levels
- Provides clear visual guidance on trade exits and risk management
- Enhances decision-making with live trade tracking and performance statistics
- Suitable for manual traders as a trade manager and for strategy developers as a risk management reference
Binance Funding Rate - InvertedThe Funding Rate Formula
-Binance uses this formula every 8 hours:
-Funding Rate = Premium Index + clamp(Interest Rate - Premium Index, -0.05%, +0.05%)
-Breaking this down:
Premium Index:
-Measures the difference between futures price and spot price
-Interest Rate: Fixed at 0.01% per 8 hours (0.03% daily)
-Clamp Function: Limits the adjustment to ±0.05%, preventing extreme swings
When futures trade above spot (bullish sentiment), the funding rate becomes positive and longs pay shorts. When futures trade below spot (bearish sentiment), it becomes negative and shorts pay longs. This mechanism keeps perpetual futures prices aligned with spot prices.
How to Read This Indicator
The Inverted Display:
-This indicator flips the traditional display to make it more intuitive:
-Green bars pointing up = Negative funding (shorts paying) = Bullish pressure
-Red bars pointing down = Positive funding (longs paying) = Bearish pressure
The Clamp Lines:
-Green line at bottom: Maximum positive funding (-0.06% inverted)
-Red line at top: Maximum negative funding (+0.04% inverted)
-When bars hit these lines and turn blue/orange, it signals extreme market positioning
Practical Trading Applications
1. Identifying Market Extremes
-Small bars (near zero): Balanced market
-Growing bars: Building directional bias
-Bars at clamp lines: Maximum pain for one side, potential reversal
2. Timing Entries/Exits
-Blue bars at bottom: Longs are capitulating, consider buying
-Orange bars at top: Shorts are capitulating, consider selling
-But remember: extremes can persist longer than expected
3. Managing Costs
Check the Data Window (hover over chart) for:
-Actual Funding %: What you'll pay/receive
-Cumulative Fund %: Total impact over your selected period
-If holding positions against the funding direction, you're paying fees 3 times daily
Optimal Usage
-Timeframe: Use 30-minute to 8-hour charts only
-30m: Most responsive to changes
-4h: Cleaner trends
-8h: Aligns with funding periods
Auto-Clamp Setting: Keep enabled - it automatically adjusts the clamp ranges for different timeframes
Risk Considerations
-Funding ≠ Price Direction: High funding doesn't guarantee immediate reversal
-Costs Accumulate: 0.01% three times daily = 10.95% annually
-Whipsaw Risk: Funding can reverse quickly during volatile periods
-Not Standalone: Always confirm with price action and volume
Simple Decision Framework
-Persistent red bars + holding longs = You're bleeding fees
-Persistent green bars + holding shorts = You're bleeding fees
-Bars hitting clamps = Extreme positioning, watch for reversal
-Bars crossing zero = Sentiment shifting
Data Window Values
To see detailed metrics:
-Move cursor over any candle
-Or press Alt+D (Windows) / Option+D (Mac) to open Data Window panel
Key values to monitor:
-Actual Funding %: Real rate (not inverted)
-Cumulative Fund %: Your P&L impact from funding
-Momentum: Rate of change in funding
Remember: This indicator shows market positioning extremes, not guaranteed reversal points. Extreme funding can persist during strong trends. Use it as one input among several for decision-making, not as a sole trading signal.
Fearless R:RFearless R:R – Precision Risk/Reward Visualization
Fearless R:R is a clean and powerful risk management tool designed to help traders plan and execute trades with discipline. It lets you set your Entry, Take Profit, and Stop Loss levels directly on the chart, then automatically calculates and displays:
Risk/Reward ratio in real-time
Percentage distance to TP and SL
Position sizing based on account equity and risk %
Fees and slippage impact
Current P/L tracking as price moves
The indicator also anchors your setup visually on the chart with shaded RR zones, price-scale labels, and a compact info table. Dedicated alert conditions are included for Entry Hit, Take Profit Hit, and Stop Loss Hit, allowing you to automate trade management notifications.
Whether you’re scalping or swing trading, Fearless R:R keeps your focus on structured decision-making and consistent execution.
CycleVISION [BitAura]𝐂ycle𝑽𝑰𝑺𝑰𝑶𝑵
This Pine Script® indicator combines a long-term trend-following strategy with a cycle valuation Z-score analysis to generate a Trend Probability Indicator (TPI). The TPI aggregates signals from multiple trend and on-chain metrics to identify optimal entry and exit points for a single asset, with USD as a cash position. The system also calculates a comprehensive Z-score based on performance and valuation metrics to assess market cycles, aiming to enhance risk-adjusted returns for long-term investors.
Logic and Core Concepts
The 𝐂ycle𝑽𝑰𝑺𝑰𝑶𝑵 System uses two primary components to guide investing decisions:
1. Trend Probability Indicator (TPI)
Mechanism : Aggregates five proprietary, universal, trend signals and three on-chain metrics into a composite TPI score, normalized between -1 and 1.
Thresholds : Enters a long position when the TPI score exceeds a user-defined long threshold (default: 0.0) and exits to cash when it falls below a short threshold (default: -0.5).
Execution : Trades are executed only on confirmed bars within a user-specified backtest date range, ensuring robust signal reliability.
2. Cycle Valuation Z-Score
Mechanism : Computes an average Z-score from six metrics: Sharpe Ratio, Sortino Ratio, Omega Ratio, Weekly RSI, Crosby Ratio, and Price Z-Score, using a 1200-bar lookback period.
Purpose : Identifies overvalued or undervalued market conditions to complement TPI signals, with thresholds at ±1.8 for extreme valuations.
Visualization : Displays the average Z-score and individual components, with gradient-based bar coloring to reflect valuation strength.
Features
Dynamic Trend Signals : Combines trend and on-chain data into a single TPI score for clear long/cash decisions.
Comprehensive Valuation : Calculates Z-scores for multiple performance and price metrics to assess market cycles.
Customizable Inputs : Allows users to adjust TPI thresholds, backtest date ranges, and valuation metrics visibility.
Visual Outputs :
Valuation Table : Displays TPI score, Z-scores, and performance metrics (Sharpe, Sortino, Omega, Max Drawdown, Net Profit) in a configurable table (Lite, Medium, Full).
Equity Curve : Plots the system’s equity curve compared to buy-and-hold performance.
Price and TPI Plot : Overlays TPI-adjusted price bands with glow effects and filled gaps for trend visualization on the price chart.
Valuation Coloring : Applies backgrounds based on Z-score ranges (e.g., strong buy above 1.8, strong sell below -1.8).
Configurable Alerts : Notifies users of TPI signal changes (Long to Cash or Cash to Long) with detailed messages.
Color Presets : Offers five color themes (e.g., Arctic Blast, Fire vs. Ice) or custom color options for long/short signals.
Pine Script v6 : Leverages matrices, tables, and gradient coloring for enhanced usability.
How to Use
Add to Chart : Apply the indicator to any chart (the chart’s ticker is used for calculations, e.g., INDEX:BTCUSD ).
Configure Settings : Adjust TPI thresholds, backtest start date (default: 01 Feb 2018), and valuation metrics visibility in the Inputs menu.
Select Color Theme : Choose a preset color mode (e.g., Arctic Blast) or enable custom colors in the Colors group.
Monitor Outputs : Check the Valuation Table for TPI and Z-score data, and view the Price and TPI Plot for trend signals.
Analyze Performance : Enable the equity curve and performance metrics in the Backtesting Options group to compare results.
Set Alerts : Right-click a plot, select "Add alert," and choose "Trend Change: Long to Cash" or "Trend Change: Cash to Long" for notifications.
The system is optimized for daily timeframe and tested across various assets to ensure robustness.
Notes
The script is closed-source.
Use a standard price series (not Heikin Ashi or other non-standard types) for accurate results.
The script avoids lookahead bias by using barmerge.lookahead_off in request.security() calls.
A minimum 1200-bar lookback is mandatory for Z-score calculations to avoid errors, with warnings displayed if insufficient price history is available.
The BitAura watermark can be toggled in the Table Settings group.
Disclaimer : This script is for educational and analytical purposes only and does not constitute financial advice. Trading involves significant risk, and past performance is not indicative of future results. Always conduct your own research and apply proper risk management.
RotationSUITE [BitAura]𝐑otation𝑺𝑼𝑰𝑻𝑬
This Pine Script® indicator is a dynamic, multi-asset rotation system designed to optimize portfolio allocation by selecting the strongest-performing cryptocurrency from a user-defined basket of up to four assets, with USD as a cash position. By leveraging two complementary relative strength strategies and a proprietary Confidence Score, the system adapts to changing market conditions to aim for superior risk-adjusted returns compared to a buy-and-hold approach.
Logic and Core Concepts
The system’s goal is to allocate capital to the strongest asset at any given time, dynamically switching between two strategies based on market conditions:
1. Ratios System (Primary Strategy)
Mechanism : Performs relative strength analysis by evaluating the trend of each asset pair (e.g., BTCUSD/ETHUSD, BTCUSD/SOLUSD) using a universal trend-capturing function.
Scoring : Each asset earns points based on how many other assets (including USD) it outperforms.
Allocation : Allocates 100% of the portfolio to the asset with the highest score, following a "long the strongest" approach.
2. Alpha System (Defensive Strategy)
Mechanism : Measures each asset’s alpha (excess return relative to market risk, or beta) against a broad market benchmark. A fast trend-following model confirms momentum.
Allocation : Allocates to the asset with the highest positive alpha and confirmed momentum, or to USD if no asset meets the criteria.
3. Confidence Score (Decision Engine)
Monitors the Ratios System’s performance.
High Confidence : Uses the Ratios System for allocation during strong trends.
Low Confidence : Switches to the Alpha System or USD during choppy or corrective markets.
Features
Dynamic Strategy Switching : Seamlessly transitions between Ratios and Alpha systems based on the Confidence Score.
Customizable Asset Basket : Supports up to four user-defined crypto assets (e.g., INDEX:BTCUSD , INDEX:ETHUSD , CRYPTO:SOLUSD , CRYPTO:SUIUSD ).
Comprehensive Visuals :
Performance Metrics Table : Displays Sharpe, Sortino, Omega, Max Drawdown, and Profit Factor for the system, its sub-strategies, and individual assets’ buy-and-hold performance.
Rotation Matrix : Shows pairwise trend scores for the Ratios System and alpha/trend data for the Alpha System.
Allocation Table : Indicates the current portfolio allocation (in %).
Equity Curve Analysis : Plots equity curves for the system, sub-strategies, and buy-and-hold for comparison.
Configurable Alerts : Notifies users of changes in allocation or Confidence Score.
Pine Script v6 : Utilizes advanced features like matrices and table formatting for enhanced usability.
How to Use
Add to Chart : Apply the indicator to any chart (the chart’s ticker does not affect calculations).
Configure Assets : In the settings ( Inputs -> Majors Rotation System Tickers ), define up to four crypto assets. Defaults include INDEX:BTCUSD , INDEX:ETHUSD , CRYPTO:SOLUSD , and CRYPTO:SUIUSD .
Set Allocation Type : Choose Aggressive (100% to top asset), Moderate (80/20 split), or Conservative (60/40 split) in the settings.
Monitor Output : The Portfolio Allocations table shows the current allocation. Use the Performance Metrics and Rotation Matrix tables for deeper insights.
Analyze Equity : Enable equity curve plots in the settings to visualize performance.
Set Alerts : Right-click a plot, select "Add alert," and choose "Confidence Score changed" or "Calculated Portfolio Allocations Changed" to receive notifications.
The system uses robust trend and alpha functions, tested across various timeframes (4h, 8h, 12h) and asset pools to ensure reliability.
Notes
The script is closed-source
Ensure the chart uses a standard price series (not Heikin Ashi or other non-standard types) for accurate results.
The script avoids lookahead bias by using barmerge.lookahead_off in request.security() calls.
Performance metrics are calculated only on the last confirmed bar to optimize runtime efficiency.
Disclaimer : This script is for educational and analytical purposes only and does not constitute financial advice. Trading involves significant risk, and past performance is not indicative of future results. Always conduct your own research and apply proper risk management.
Stop Loss vs Take Profit Probability and EVThis stop loss and take profit calculator uses a Monte Carlo simulation to calculate the probability of hitting your Stop Loss or Take Profit levels across different time horizons (expressed in bars).
It provides data-driven insights to optimize your risk management and position sizing by showing Expected Value for each scenario.
As a quant, I love using statistical data to help my decisions and get better EV from my trades.
🔬 How It's Calculated
Monte Carlo Simulation: Runs 1,000-10,000 price simulations using a random walk model
Volatility Analysis: Combines ATR-based and Historical Volatility for accurate price movement modeling
Expected Value: Calculates profit/loss expectation using formula: (TP_Probability × Reward) - (SL_Probability × Risk)
Time Horizons: Tests multiple timeframes (1, 5, 10, 20, 50 bars) to find optimal holding periods
Risk/Reward Ratios: Automatically calculates and displays R:R ratios for quick assessment
💡 Use Cases
Position Sizing - Determine optimal risk per trade based on Expected Value
Time Horizon Optimization - Find the best holding period for your strategy
Stop Loss Placement - Validate SL levels using probability analysis
Take Profit Optimization - Set TP levels with statistical backing
Strategy Backtesting - Compare different R:R setups before entering trades
Risk Management - Avoid trades with negative Expected Value
Swing vs Day Trading - Choose timeframes with highest success probability
🎯 How to Use
Setup Trade: Enter your entry price, stop loss, and take profit levels
You can add or remove time horizons denominated in bars. Say you are looking at 1h candles, adding a 24-bar time horizon means you are looking into 24 hours
Choose Direction: Select Long or Short position
Review Table
Analyze Expected Value: Focus on positive EV scenarios (green background)
Optimize Timing: Select time horizons with best risk/reward profile
Adjust Parameters: Modify volatility calculation method and simulation count if needed
Examples
Here's how you can read the tables.
Example 1:
In this chart, we are analyzing the TP and SL probabilities as well as the EV (expected value) for a stock. I want to check what the likelihood is that my SL and TP get triggered over the next 5 days. The stock market is open for 6.5 hours per day, which is 13 bars in this 30-minute bar chart. 26 bars is 2 days, 39 bars is 3 days and so on.
Although this trade is more likely to trigger my SL than my TP, in some of the time horizons we have a positive expected value because of the risk/reward of our trade (i.e. distance of the SL and TP from the price) and the probability of hitting SL and TP.
Example 2:
In this example, we have applied the indicator to gold. Because the TP is much closer to the price, the probability of hitting the TP is much higher.
We can also observe that the expected Value in the shorter time frames is better than in the longer ones. This can give us some clues to set up our trade. If we know that the EV is positive, we can allocate more to that specific trade.
Enjoy, and please let me know your feedback! 😊🥂
