cbazzaandClaude Opus 4.5
c51862c4ec
NEW MODULE: equity_curve_trading.py - EquityCurveManager class for meta-strategy control - Tracks equity history after each trade - Calculates Moving Average over configurable period (default: 10 trades) - Soft Mode: Reduces lot size to 50% when equity < MA - Hard Mode: Completely stops trading when equity < MA - Recovery detection with buffer percentage - Persistent storage in equity_curve_history.json CONFIGURATION: - ma_period: 10 trades (Moving Average window) - min_trades_required: 5 (warmup period) - soft_mode: True (reduce lots instead of stopping) - soft_mode_multiplier: 0.5 (50% lots when under MA) - recovery_buffer_pct: 0.5% (buffer for recovery status) INTEGRATION: - Added to Cell 78 (Advanced Optimizations setup) - Integrated in enhanced_trading_check_wrapper (Cells 85, 90) - Added lot_multiplier parameter to execute_trade_v2_adaptive - Equity update after each successful trade EXAMPLE FLOW: 1. Before trade: Check should_trade() → returns (allowed, reason, lot_multiplier) 2. If equity < MA: lot_multiplier = 0.5 (or 0.0 in hard mode) 3. Position size adjusted: volume = volume * lot_multiplier 4. After trade: update_equity() called to track new equity BENEFITS: - Automatic protection during losing streaks - Reduces exposure when strategy underperforms - Capitalizes fully when strategy is working - No emotional decisions needed 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
15 lines
270 B
JSON
15 lines
270 B
JSON
{
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"timestamp": "2026-01-26T00:27:01.306793",
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"session_thresholds": {
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"asian": 60,
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"ny": 60,
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"london": 75,
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"overlap": 65
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},
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"settings": {
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"lookback_trades": 20,
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"target_win_rate": 0.6,
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"min_threshold": 60,
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"max_threshold": 95
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}
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} |