INVITE-ONLY SCRIPT
更新済 Swift Algo X
🧠 Swift Algo X - Adaptive Volume-Drift & Optimization System
Swift Algo X is a sophisticated quantitative trading system designed to solve a big failure point in technical analysis: Parameter Inefficiency.
While most indicators rely on static input settings that fail when market volatility shifts, Swift Algo X solves this by combining a Volume-Drift Model with an integrated Brute-Force Optimization Engine.
The system does not just guess the trend or entry signals, it runs 24 parallel historical simulations in the background to mathematically identify the optimal settings for the asset you are currently trading.
🔍 How It Works
The algorithm operates on a "Dual-Core" architecture: The Signal Engine generates possible trade setups, while the Optimization Engine validates and ranks them in real-time.
1. The Signal Engine: Volume-Drift Calculation Unlike standard indicators that rely on lagging price averages, Swift Algo X calculates the underlying "Volume Force".
It applies a Z-Score Normalization to measure how far the current volume flow has drifted from its statistical mean.
This creates a "Fair Value Estimate" derived purely from volume pressure rather than just price action.
Signals are generated when price breaks out of the volatility bands surrounding this estimate.
2. The Macro Anchor To filter out lower-timeframe noise: The system anchors all logic to a dynamic Macro Baseline.
Bullish Setups: Valid only when the Volume Estimate is sustaining above the Macro Baseline.
Bearish Setups: Valid only when the Volume Estimate is sustaining below the Macro Baseline.
3. The Optimization Engine (The Core Innovation) This is the distinguishing feature of Swift Algo X. On every bar update, the script utilizes Pine Script to:
- Simulate 24 different permutation sets of Volatility Factors and Periods.
- Backtest every permutation against historical price action in real-time.
- Rank them by Win Rate and display the most profitable mathematical fit on the dashboard.
⚙ Key Features
🚀 Live Strategy Tester: A built-in dashboard displays the Win Rate for your current settings vs. the calculated "Best Settings."
🧠 Self-Optimizing Logic: The system recommends the exact "Multiplier" and "Period" that have historically yielded the highest probability for the specific ticker.
✅ Volume-Weighted Signals: Entries are based on volume accumulation, offering a distinct advantage over price-only indicators.
🎯 Adaptive Bands: The volatility bands expand and contract based on the Z-Score drift, naturally filtering out chop during low-volume consolidation.
📘 How to Use
1) Apply to Chart: Load Swift Algo X on your preferred timeframe (e.g., 15m, 1H, 4H).
2) Consult the Dashboard: Look at the "Backtesting" table in the top right corner.
Row 1 (Current): Shows how your current inputs are performing.
Row 2 (Backtest): Shows the theoretical performance of the optimal settings found by the engine.
3) Align Parameters: If the "Backtest Setting" shows a significantly higher Win %, adjust your Multiplier and Period inputs to match the dashboard's recommendation.
4) Wait for BUY / SELL Labels to appear. Use these as confirmation or as tools within your own strategy.
5) Always complement signals with independent risk management and your own analysis.
💡 Originality & Concept
Swift Algo X innovates by transforming the chart from a passive display into an active Simulation Environment.
While the underlying concept of Trailing Stops is a familiar tool, Swift Algo X’s originality lies in its Permutation Engine. By leveraging complex array sorting and loop structures, the script performs a Historical Analysis inside the indicator itself.
This effectively turns a standard script into a dynamic "Strategy Analyzer," allowing traders to adapt the Volume-Drift model to the specific volatility profile of any asset class (Crypto, Forex, or Indices) instantly without leaving the chart.
⚠ Disclaimer
Swift Algo X is a quantitative analysis tool designed for educational purposes. The "Best Settings" are derived from historical data and do not guarantee future performance. Traders should always apply independent risk management.
Swift Algo X is a sophisticated quantitative trading system designed to solve a big failure point in technical analysis: Parameter Inefficiency.
While most indicators rely on static input settings that fail when market volatility shifts, Swift Algo X solves this by combining a Volume-Drift Model with an integrated Brute-Force Optimization Engine.
The system does not just guess the trend or entry signals, it runs 24 parallel historical simulations in the background to mathematically identify the optimal settings for the asset you are currently trading.
🔍 How It Works
The algorithm operates on a "Dual-Core" architecture: The Signal Engine generates possible trade setups, while the Optimization Engine validates and ranks them in real-time.
1. The Signal Engine: Volume-Drift Calculation Unlike standard indicators that rely on lagging price averages, Swift Algo X calculates the underlying "Volume Force".
It applies a Z-Score Normalization to measure how far the current volume flow has drifted from its statistical mean.
This creates a "Fair Value Estimate" derived purely from volume pressure rather than just price action.
Signals are generated when price breaks out of the volatility bands surrounding this estimate.
2. The Macro Anchor To filter out lower-timeframe noise: The system anchors all logic to a dynamic Macro Baseline.
Bullish Setups: Valid only when the Volume Estimate is sustaining above the Macro Baseline.
Bearish Setups: Valid only when the Volume Estimate is sustaining below the Macro Baseline.
3. The Optimization Engine (The Core Innovation) This is the distinguishing feature of Swift Algo X. On every bar update, the script utilizes Pine Script to:
- Simulate 24 different permutation sets of Volatility Factors and Periods.
- Backtest every permutation against historical price action in real-time.
- Rank them by Win Rate and display the most profitable mathematical fit on the dashboard.
⚙ Key Features
🚀 Live Strategy Tester: A built-in dashboard displays the Win Rate for your current settings vs. the calculated "Best Settings."
🧠 Self-Optimizing Logic: The system recommends the exact "Multiplier" and "Period" that have historically yielded the highest probability for the specific ticker.
✅ Volume-Weighted Signals: Entries are based on volume accumulation, offering a distinct advantage over price-only indicators.
🎯 Adaptive Bands: The volatility bands expand and contract based on the Z-Score drift, naturally filtering out chop during low-volume consolidation.
📘 How to Use
1) Apply to Chart: Load Swift Algo X on your preferred timeframe (e.g., 15m, 1H, 4H).
2) Consult the Dashboard: Look at the "Backtesting" table in the top right corner.
Row 1 (Current): Shows how your current inputs are performing.
Row 2 (Backtest): Shows the theoretical performance of the optimal settings found by the engine.
3) Align Parameters: If the "Backtest Setting" shows a significantly higher Win %, adjust your Multiplier and Period inputs to match the dashboard's recommendation.
4) Wait for BUY / SELL Labels to appear. Use these as confirmation or as tools within your own strategy.
5) Always complement signals with independent risk management and your own analysis.
💡 Originality & Concept
Swift Algo X innovates by transforming the chart from a passive display into an active Simulation Environment.
While the underlying concept of Trailing Stops is a familiar tool, Swift Algo X’s originality lies in its Permutation Engine. By leveraging complex array sorting and loop structures, the script performs a Historical Analysis inside the indicator itself.
This effectively turns a standard script into a dynamic "Strategy Analyzer," allowing traders to adapt the Volume-Drift model to the specific volatility profile of any asset class (Crypto, Forex, or Indices) instantly without leaving the chart.
⚠ Disclaimer
Swift Algo X is a quantitative analysis tool designed for educational purposes. The "Best Settings" are derived from historical data and do not guarantee future performance. Traders should always apply independent risk management.
リリースノート
Updated Chart Screenshot.リリースノート
- Added possibility to get Trend Table Values inside of the Alerts.リリースノート
🚀 New Swift Algo Update!This update brings massive quality-of-life improvements to the backtester and optimizes the internal math for better performance.
⚡ Instant "Auto-Optimization" (No More Sets): We have completely removed the manual "Backtest Sets." The script now automatically brute-forces the combinations in the background and instantly locks onto the calculated best settings for the current asset. This makes the process of finding settings a lot faster.
🔔 Smarter Alerts: You can now dynamically include the Overall Trend, Strength & Ranging status (the ones displayed on the Trend Dashboard) inside your alert messages.
🛡️ Data Safety: Added a "No Volume Warning" that instantly alerts you if your data feed is missing volume data.
🛠️ Core Calculation Optimized: We upgraded the internal formula to a "Stationary Momentum" logic. Same Signals: The indicator looks and behaves exactly the same as before. Better Performance: This fix eliminates "historical drift" (floating point errors) on deep chart history and improves loading speed.
リリースノート
Another upgrade just dropped. We’ve focused this version on risk management and a cleaner user experience. Here is what’s new:🛡️ New Max SL Size Filter
We’ve added a "Max SL Size" filter to give you more control over your risk.
- Selective Entries: This does not decrease the SL size of trades (which would destroy the risk-to-reward logic). Instead, it simply skips trades that have a Stop Loss wider than your limit.
- Dynamic Opportunities: By skipping these wide-range trades, it allows the algorithm to look for other setups that would have otherwise been missed while "occupied" in a wide trade.
⚡ New 1m Indicator Sensitivity
- More Action: We’ve added a 1m sensitivity option for those who want more frequent signals.
- Pro Tip: This is a more aggressive setting. While it provides more setups, it can also be a bit more noisy. Use it if you are looking for faster-paced opportunities.
🎨 UI & Settings Overhaul
The settings menu has been rearranged from the ground up for a cleaner, more intuitive view.
- Visual Toggles: You can now deactivate the Backtesting Dashboard visual entirely if you want a cleaner chart for pure price action.
- Organized Groups: Settings are now categorized into logical blocks (Main, Trend, TP/SL, and Visuals).
📖 In-Menu Tooltips
- Hover for Info: We’ve added tooltips to the small "i" next to settings.
- Suggested Settings: You can now see recommended sensitivities and multipliers directly inside the settings menu by hovering over the inputs.
招待専用スクリプト
このスクリプトは作者が承認したユーザーのみアクセス可能です。使用するにはアクセス申請をして許可を得る必要があります。通常は支払い後に承認されます。詳細は下記の作者の指示に従うか、swiftalgoに直接お問い合わせください。
TradingViewは、作者を完全に信頼し、スクリプトの動作を理解していない限り、有料スクリプトの購入・使用を推奨しません。コミュニティスクリプトには無料のオープンソースの代替が多数あります。
作者の指示
Get Instant Access Here: https://swiftalgo.net/
免責事項
この情報および投稿は、TradingViewが提供または推奨する金融、投資、トレード、その他のアドバイスや推奨を意図するものではなく、それらを構成するものでもありません。詳細は利用規約をご覧ください。
招待専用スクリプト
このスクリプトは作者が承認したユーザーのみアクセス可能です。使用するにはアクセス申請をして許可を得る必要があります。通常は支払い後に承認されます。詳細は下記の作者の指示に従うか、swiftalgoに直接お問い合わせください。
TradingViewは、作者を完全に信頼し、スクリプトの動作を理解していない限り、有料スクリプトの購入・使用を推奨しません。コミュニティスクリプトには無料のオープンソースの代替が多数あります。
作者の指示
Get Instant Access Here: https://swiftalgo.net/
免責事項
この情報および投稿は、TradingViewが提供または推奨する金融、投資、トレード、その他のアドバイスや推奨を意図するものではなく、それらを構成するものでもありません。詳細は利用規約をご覧ください。