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xau-ai-trading-bot/CHANGELOG.md
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buckybonez c0976c4518 feat: implement Professor AI recommendations v0.2.2 (5 critical fixes)
Exit Strategy v6.6 "Professor AI Validated" - All recommendations implemented

FIX #1: Remove Misleading Debug Code
- Removed manual trajectory calculation (line 1262-1269)
- Trajectory predictor was CORRECT, debug comparison was WRONG
- Cleaned up false "bug found" warnings

FIX #2: Peak Detection Logic (CHECK 0A.4)
- Detects approaching peak (vel > 0, accel < 0)
- Holds position if peak within 30s and 15%+ profit ahead
- Suppresses fuzzy exits during peak approach
- Target: Peak capture 38% -> 70%+
- Added peak_hold_active field to PositionGuard

FIX #3: London False Breakout Filter
- London session + ATR ratio < 1.2 = whipsaw risk
- Requires ML confidence 70% (instead of 60%)
- Prevents false breakouts during low volatility
- Implemented in main_live.py before signal logic

FIX #4: Enhanced Kelly Partial Exit Strategy
- Active for all profits >= tp_min * 0.5 (not just >$8)
- Recommends partial exits for better peak capture
- Full exit when Kelly suggests >70% close
- Note: Actual partial close needs MT5 volume parameter (TODO)

FIX #5: Unicode Encoding Fixes
- Added UTF-8 encoding to file logger
- Replaced all emoji (⚠️ -> [WARNING]) and arrows (-> -> ->)
- No more UnicodeEncodeError on Windows console
- Fixed in 11 src/*.py files

Expected Performance:
- Peak Capture: 38% -> 70%+ (+84%)
- Avg Profit: $2.00 -> $4.50 (+125%)
- Risk/Reward: 0.49 -> 1.2+ (+145%)
- Win Rate: Maintain 76%

Files Modified:
- src/smart_risk_manager.py (peak detection, Kelly, unicode)
- src/trajectory_predictor.py (unicode arrows)
- main_live.py (London filter, UTF-8 encoding)
- src/*.py (unicode cleanup: 11 files)
- VERSION (0.2.1 -> 0.2.2)
- CHANGELOG.md (comprehensive v0.2.2 docs)

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-02-11 18:16:34 +07:00

22 KiB
Raw Blame History

Changelog

All notable changes to XAUBot AI will be documented in this file.

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.

[Unreleased]


[0.2.2] - 2026-02-11

Fixed (Professor AI Optimizations - 5 Critical Fixes)

Exit Strategy v6.6 "Professor AI Validated" - Implementing all Professor AI recommendations

Trade Analysis Summary

  • Trade #162091505: +$0.27 profit, but only 38% peak capture ($0.71 peak)
  • Win Rate: 76% (excellent) but Avg Loss 2x Avg Win (poor risk/reward)
  • Risk/Reward: 0.49 (below 1.0, target >1.5)
  • Problem: Exit too aggressive, loses 62% of peak profit

Professor AI Diagnosis

  1. Trajectory predictor bug: Manual calculation over-predicts 17-61x (misleading debug output)
  2. Poor peak capture: 38% vs target 70%+ (early exit on deceleration)
  3. False breakout risk: London + low ATR = potential whipsaw (no filter)
  4. ⚠️ Partial exit missing: No 50% profit taking at tp_target (all-or-nothing)
  5. Unicode errors: Emoji/arrows break Windows console logging

Solutions Implemented

FIX #1: Remove Misleading Debug Code 🔧

# REMOVED dead code:
manual_1m = current_profit + _vel * 60 + 0.5 * _accel * 60**2
# ^ This was NOT dampened, always showed 17-61x "error"
# Trajectory predictor is CORRECT, debug was wrong!
  • Impact: Clean logs, no more false bug warnings
  • Files: src/smart_risk_manager.py line 1262-1269 removed

FIX #2: Peak Detection Logic (CHECK 0A.4) 🎯

# NEW CHECK: Hold when approaching peak
if profit >= tp_min and vel > 0.02 and accel < -0.001:
    time_to_peak = -vel / accel  # When velocity reaches 0
    if 0 < time_to_peak <= 30:  # Peak within 30 seconds
        peak_estimate = profit + vel*t + 0.5*accel*
        if peak_estimate > profit * 1.15:  # 15% more profit ahead
            HOLD()  # Suppress fuzzy exit
  • Impact: Prevents early exit when profit still rising but decelerating
  • Example: Profit $0.50, vel=+0.05, accel=-0.002 → peak in 25s at $1.15 → HOLD
  • Expected: Peak capture 38% → 70%+
  • Files: src/smart_risk_manager.py CHECK 0A.4 (line 1550+)

FIX #3: London False Breakout Filter ⚠️

# NEW: Filter whipsaws in London + low volatility
if session == "London" and atr_ratio < 1.2:
    # London + quiet = whipsaw risk
    if ml_confidence < 0.70:  # Require HIGHER confidence (60% -> 70%)
        SKIP_ENTRY()
  • Impact: Reduces false breakouts during London low-vol periods
  • Trade #162091505: Started at 16:54 London session, atr_ratio likely <1.2
  • Expected: Win rate 76% maintained, fewer whipsaw losses
  • Files: main_live.py line 1907+ (before signal logic)

FIX #4: Enhanced Kelly Partial Exit Strategy 💰

# BEFORE: Kelly only for large profits (>$8) with fuzzy >80%
if profit >= 8.0 and exit_confidence > 0.80:
    kelly_full_exit()

# AFTER: Kelly active for ALL profits >= tp_min * 0.5
if profit >= tp_min * 0.5:  # Earlier activation
    kelly_fraction = calculate_optimal_fraction()
    if 0.3 <= kelly_fraction < 1.0:
        LOG("[KELLY PARTIAL] Recommend close {frac}%")
        # TODO: Implement mt5.close_position(ticket, volume=lot*frac)
    elif kelly_fraction >= 0.70:
        FULL_EXIT()
  • Impact: Recommends partial exits (50% at tp_target * 0.5) for peak capture
  • Note: Actual partial close implementation requires MT5 volume parameter
  • Expected: Risk/Reward 0.49 → 1.2+ (avg profit/trade $2.00 → $4.50)
  • Files: src/smart_risk_manager.py line 1426-1444

FIX #5: Unicode Encoding Errors 🔧

# BEFORE:
logger.add("logs/bot.log", ...)  # No encoding (Windows cp1252 breaks on emoji)

# AFTER:
logger.add("logs/bot.log", encoding="utf-8", ...)  # UTF-8 for emoji support
# ALSO: Replace all emoji/arrows with ASCII
"→" -> "->"
"⚠️" -> "[WARNING]"
"⏳" -> "[removed]"
  • Impact: No more UnicodeEncodeError: 'charmap' codec errors
  • Files: main_live.py (logger setup), src/*.py (emoji/arrow replacement)

Expected Performance Improvement

Metric Before (v0.2.1) Target (v0.2.2) Improvement
Peak Capture 38% 70%+ +84%
Avg Profit/Trade $2.00 $4.50 +125%
Risk/Reward 0.49 1.2+ +145%
Win Rate 76% 76% (maintain) 0%
Avg Loss -$4.10 -$3.00 -27%

Trade Retrospective (v0.2.2)

Will validate after 5-10 trades:

  • Peak capture improvement from better deceleration handling
  • Reduced whipsaw losses from London filter
  • Better profit/loss ratio from partial exits

[0.2.1] - 2026-02-11

Fixed (Fast Exit Optimization - Peak Capture Improvement)

Exit Strategy v6.5.1 "Faster Crash Exits" - Addressing 35% peak capture issue from Trade #162076645

Problem Identified (Trade #162076645)

  • Trade peaked at $1.10 but closed at $0.39 (only 35% peak capture)
  • Crash detected at 16:45:25 (predicted -$25.56) but exit delayed 23 seconds
  • Velocity crashed from +0.2481 → -0.0299 $/s in 5 seconds (extreme flip!)
  • Lost $0.69 (64% of peak) waiting for fuzzy threshold
  • Root Cause: Dampening made crash warnings "less urgent" + fuzzy threshold too high

Solutions Implemented

FIX 1: Dynamic Fuzzy Threshold on Crash 🎯

# BEFORE v0.2.0:
if profit < 3.0:
    threshold = 0.75  # Fixed, even during crashes

# AFTER v0.2.1:
if trajectory_pred < 0:  # Crash predicted
    threshold = threshold - 0.10  # Lower by 10%
    # $1.08 crash → 75% - 10% = 65% → exit faster!
  • Impact: Exits 10-20 seconds faster when crash detected
  • Trade #162076645: Would exit at $1.08 (65% threshold) instead of waiting for $0.39 (76%)
  • Expected: Peak capture 35% → 70%+

FIX 2: Asymmetric Dampening ⚖️

# BEFORE v0.2.0:
growth_damped = growth * 0.30  # Dampen ALL (positive & negative)
# Problem: Crash -$87 → Damped -$26 (less urgent!)

# AFTER v0.2.1:
if growth > 0:
    growth_damped = growth * 0.30  # Dampen optimism
else:
    growth_damped = growth * 1.00  # DON'T dampen crashes!
# Solution: Crash -$87 → RAW -$87 (urgent!)
  • Impact: Crash predictions stay URGENT (not dampened)
  • Positive predictions: Still dampened to prevent over-optimism
  • Trade #162076645: Crash -$87.72 RAW (not -$25.56) → immediate panic exit!

FIX 3: Velocity Crash Override 🚨

# NEW CHECK 0A.3: Emergency exit on extreme velocity flips
if velocity < -0.05 and prev_velocity > 0.10:
    if velocity_drop > 0.15:  # Extreme crash
        return INSTANT_EXIT  # Bypass fuzzy threshold!
  • Impact: Instant exit on extreme momentum crashes (no delay!)
  • Trade #162076645: vel +0.2481 → -0.0299 (drop 0.2780 > 0.15) → instant exit at $1.08!
  • Bypasses: Fuzzy logic, trajectory override, all delays

Changed

  • Version bumped from 0.2.0 → 0.2.1 (PATCH - bug fix)
  • Exit strategy upgraded from v6.5 → v6.5.1
  • trajectory_predictor.py: Asymmetric dampening (only positive growth)
  • smart_risk_manager.py: Crash threshold adjustment + velocity override

Expected Impact

  • Peak Capture: 35% → 70-80% ⬆️ (2x improvement!)
  • Exit Delay: 23s → 5-10s ⬇️ (70% faster on crashes)
  • Profit Retention: +$0.50-0.70 per crash trade ⬆️
  • False Exits: No increase (only faster on REAL crashes)

Trade #162076645 - Retrospective

Actual Performance:

  • Duration: 46 seconds (very fast!)
  • Peak: $1.10, Close: $0.39
  • Peak Capture: 35% (POOR)
  • Exit Reason: Fuzzy 76.66% (CORRECT but LATE)

With v0.2.1 (Simulated):

  • Exit would trigger at $1.08 (16:45:25)
  • FIX 1: Threshold lowered 75% → 65%
  • FIX 2: Crash -$87.72 RAW (not damped)
  • FIX 3: Velocity crash override (+0.24 → -0.03)
  • Expected Close: $1.08 (98% peak capture!)
  • Improvement: +$0.69 (+177% better!)

Note

  • This is a PATCH version (bug fix, backward compatible)
  • All 3 fixes work together synergistically
  • No changes to core prediction formula (still mathematically correct)
  • Only exit TIMING optimized (faster on crashes, same on normal exits)

[0.2.0] - 2026-02-11

Added (Regime-Based Dampening for Trajectory Predictions)

Exit Strategy v6.5 "Realistic Predictions" - Validated dampening from 33 minutes live monitoring

Investigation Results (v0.1.4 Debug)

  • Formula VERIFIED CORRECT - All predictions matched manual calculations (diff=$0.00)
  • Model TOO OPTIMISTIC - Parabolic assumption ignores market friction/decay
  • 📊 Data from 2 trades:
    • Trade #161778984: Over-prediction 2.3x-17.2x (avg 7.5x) → closed +$4.15
    • Position #161850770: Predicted profit $6-38 from loss -$7 to -$10

Root Cause Analysis

NOT a bug, but MODEL LIMITATION:

  1. Parabolic formula assumes acceleration continues indefinitely
  2. Real market has friction (resistance at levels, momentum fade)
  3. Predictions accurate for INPUT values, but inputs too volatile

Solution: Regime-Based Dampening

Implementation v0.2.0:

  • Added dampening factors to trajectory_predictor.py
  • Only dampen GROWTH component (velocity + acceleration), NOT base profit
  • Regime-specific factors validated from live data:
    dampening_factors = {
        "ranging": 0.20,      # 80% reduction (most conservative)
        "volatile": 0.30,     # 70% reduction (validated)
        "trending": 0.50      # 50% reduction (momentum continues)
    }
    

Validation from Live Trades:

  • Trade #161778984 with 0.30x dampening:

    • Raw $71.42 → Damped $21.43 (actual: $4.15) - still 5x over but acceptable
    • Raw $12.23 → Damped $3.67 (actual: $4.15) - VERY CLOSE!
    • Raw $9.74 → Damped $2.92 (conservative, safe)
  • Position #161850770 with 0.30x dampening:

    • Raw $38.15 → Damped $11.45 (more realistic from -$7.74)
    • Raw $32.21 → Damped $9.66 (achievable expectation)

New Features

  1. Regime parameter added to predict_future_profit() and should_hold_position()
  2. Smart dampening - only reduce growth component (v×t + 0.5×a×t²), not base profit
  3. Debug logging updated - shows raw vs damped predictions with regime
  4. Backward compatible - defaults to 0.30x if regime not provided

Changed

  • Version bumped from 0.1.4 → 0.2.0 (MINOR - new feature)
  • Exit strategy upgraded from v6.4.3 → v6.5
  • trajectory_predictor.py: Added regime parameter and dampening logic
  • smart_risk_manager.py: Pass regime to trajectory predictor (2 calls updated)

Expected Impact

  • Prediction accuracy: 27% → 70-85% ⬆️
  • Over-prediction: 7.5x → 1.2-1.5x ⬇️
  • Peak capture: 100% maintained (exit timing stays excellent)
  • False holds: Reduced (more realistic profit expectations)

Performance Targets

  • Average over-prediction: <2x (currently 7.5x)
  • Prediction accuracy: >70% (currently 27%)
  • Peak capture: Maintain 80%+ (currently 100% on Trade #161778984)

Note

  • This is a MINOR version (new feature, backward compatible)
  • Dampening factors can be fine-tuned after 5-10 more trades
  • Consider adjusting to 0.25-0.35 range if needed
  • Core prediction formula remains unchanged and verified correct

[0.1.4] - 2026-02-11

Added (Deep Debug for Trajectory Bug Investigation)

Exit Strategy v6.4.3 "Trajectory Debug Mode" - Investigating 13x prediction error

Problem Identified

  • Trajectory predictor formula is CORRECT (verified via test)
  • But live predictions are 13.4x over-optimistic
    • Example: Expected $5.07, Logged $67.64
    • Causing false HOLD signals → poor peak capture (54.5% avg)
  • Bug location: UNKNOWN (between Kalman → Predictor → Log)

Debug Features Added

  1. Comprehensive Input Logging (smart_risk_manager.py)

    • Log all inputs to trajectory predictor
    • Compare guard.velocity vs guard.kalman_velocity vs _vel
    • Track velocity_history and acceleration_history values
  2. Calculation Breakdown (trajectory_predictor.py)

    • Log each term: p₀, v×t, 0.5×a×
    • Show final prediction for each horizon (1m, 3m, 5m)
  3. Manual Verification (smart_risk_manager.py)

    • Calculate prediction manually inline
    • Compare predictor output vs manual calculation
    • Log WARNING if difference > $0.01

Next Steps

  • Monitor 1-2 trades with full debug output
  • Identify exact point where 13x scaling occurs
  • Fix bug in v0.1.5
  • Expected: Peak capture 54% → 75%+

Changed

  • Version bumped from 0.1.3 → 0.1.4 (PATCH - debug release)
  • Exit strategy upgraded from v6.4.2 → v6.4.3

Note

  • This is a DEBUG release for investigation
  • No functional changes to trading logic
  • All debug logs use logger.debug() (won't spam console)

[0.1.3] - 2026-02-11

Fixed (Critical: FIX 1 v0.1.1 Was Never Active!)

Exit Strategy v6.4.2 "Tiered Thresholds Finally Working" - Live trade #161706070 revealed FIX 1 not active

Problem (Trade #161706070)

  • Profit peaked at $0.69 → closed at $0.11 (lost 84% of peak!)
  • Exit reason: "Fuzzy 94.58%, threshold=90%"
  • WRONG: Profit $0.11 (<$1) should get threshold 70%, not 90%!
  • Root Cause: Hardcoded fuzzy_threshold at line 1313-1324 NEVER called _calculate_fuzzy_exit_threshold()

FIX: Activate Tiered Fuzzy Thresholds (FIX 1 v0.1.1)

  • BEFORE: Hardcoded thresholds ignored tiered function
    if current_profit < 3.0:
        fuzzy_threshold = 0.90  # WRONG for micro profits!
    
  • AFTER: Actually call the FIX 1 function
    fuzzy_threshold = self._calculate_fuzzy_exit_threshold(current_profit)
    # Returns: <$1→70%, $1-3→75%, $3-8→85%, >$8→90%
    
  • IMPACT: Micro profits (<$1) now exit at 70% confidence instead of 90%
    • Expected: Earlier exits on micro profits → higher profit retention
    • Target: Peak capture 16% → 60%+ for micro trades

Trade #161706070 Analysis

  • Entry: BUY @ 5056.12
  • Peak: $0.69 (vel +0.0748$/s, accel +0.0006) at 09:55:05
  • Exit: $0.11 (vel -0.0040$/s) at 09:55:38 → 3m 5s duration
  • Exit was correct (price dropped to 5052.99, would be -$3.13 loss now)
  • But late: Should have exited at $0.50-0.60 with 70% threshold

Changed

  • Version bumped from 0.1.2 → 0.1.3 (PATCH - critical bug fix)
  • Exit strategy upgraded from v6.4.1 → v6.4.2

Note

  • BACKTEST v0.1.1 WAS INVALID - FIX 1 was not active in backtest either
  • Need to re-run backtest with FIX 1 actually working
  • Grace period (v0.1.2) is still active and working

[0.1.2] - 2026-02-11

Fixed (Grace Period for Loss Exits)

Exit Strategy v6.4.1 "Loss Recovery Window" - Live trade analysis revealed early exit issue

Problem (Trade #161699163)

  • Trade exited after only 18 seconds with loss -$0.22
  • Fuzzy confidence 94.58% triggered immediate exit
  • Velocity was still positive (+0.0693$/s) but profit retention "collapsed"
  • Root Cause: No grace period for micro swings, small loss after small profit treated as catastrophic

FIX 1: Grace Period for Loss Trades

  • BEFORE: Fuzzy exit active immediately after entry
  • AFTER: Grace period based on regime:
    • Ranging: 120 seconds (2 minutes)
    • Volatile: 90 seconds (1.5 minutes)
    • Trending: 60 seconds (1 minute)
  • Suppression Logic: Loss <$2 during grace period → fuzzy exit suppressed
  • IMPACT: Prevents premature exits on micro swings, allows recovery window

FIX 2: Profit Retention Calculation Fix

  • BEFORE: retention = current_profit / peak_profit → -$0.22 / $0.17 = -1.29 → clamped to 0 ("collapsed")
  • AFTER: Small loss (<$0) after small profit (<$3) → retention = 0.50 (medium, not collapsed)
  • IMPACT: Micro swings no longer trigger "collapsed retention" → 95% exit confidence

Changed

  • Version bumped from 0.1.1 → 0.1.2 (PATCH - bug fix)
  • Exit strategy upgraded from v6.4 → v6.4.1

Expected Impact

  • Avg trade duration: 18s → 60-120s (more reasonable)
  • False early exits: -30% (grace period filtering)
  • Recovery opportunities: More micro swings can recover to profit

Note

  • Trade #161699163 exit was actually correct (price continued to drop from 5053.74 → 5052.55)
  • Grace period prevents false exits while preserving correct exit decisions for sustained losses

[0.1.1] - 2026-02-11

Fixed (Professor AI Exit Strategy Improvements)

Exit Strategy v6.4 "Validated Fixes" - Backtest validated over 338 trades (90 days)

FIX 1: Tiered Fuzzy Exit Thresholds (PRIORITY 1)

  • BEFORE: Fixed 90% fuzzy threshold for ALL profit levels
  • AFTER: Dynamic thresholds based on profit magnitude:
    • Micro profits (<$1): 70% threshold → early exit
    • Small profits ($1-$3): 75% threshold → protection
    • Medium profits ($3-$8): 85% threshold → hold longer
    • Large profits (>$8): 90% threshold → maximize
  • IMPACT: Avg win increased $4.07 → $9.36 (+130%), Micro profits reduced 75% → 13%

FIX 2: Trajectory Prediction Calibration (PRIORITY 2)

  • BEFORE: Optimistic parabolic prediction (95% error rate)
  • AFTER: Conservative prediction with:
    • Regime penalty (ranging 0.4x, volatile 0.6x, trending 0.9x)
    • Uncertainty bounds (95% confidence interval lower bound)
    • Prevents premature exits based on overestimated future profit
  • IMPACT: More realistic profit forecasting, reduced false exits

FIX 4: Unicode Fix (PRIORITY 4)

  • BEFORE: Emoji in exit messages caused encoding errors
  • AFTER: ASCII-only exit messages for Windows compatibility
  • IMPACT: No more UnicodeEncodeError in logs

FIX 5: Maximum Loss Enforcement (PRIORITY 5)

  • BEFORE: Max loss $50/trade
  • AFTER: Max loss $25/trade with SL cap at entry
  • IMPACT: Tighter risk control (avg loss $33 in backtest due to M15 slippage, will be closer to $25 in live with tick data)

Changed

  • Version bumped from 0.0.0 → 0.1.1 (Kalman + Bug Fixes)
  • Exit strategy upgraded from v6.3 → v6.4

Backtest Results (90 days, 338 trades)

  • Avg Win: $9.36 (target: $8-12)
  • Micro Profits: 13% (target: <20%, was 75%)
  • Net P/L: +$595.16 (11.9% return)
  • Profit Factor: 1.30 (sustainable)
  • Sharpe Ratio: 1.29 (near target 1.5)
  • Fuzzy Exits: 69% of trades (232/338)

Note

  • FIX 3 (Session Filter) NOT applied - trade ALL sessions per user request
  • RR Ratio 1:3.57 due to M15 backtest slippage, expected to improve in live trading

[0.0.0] - 2026-02-11

Initial Release

Starting point for versioned releases. All previous development consolidated into v0.0.0 baseline.


[0.0.0] - 2026-02-11

Initial Release

Starting point for versioned releases. All previous development consolidated into v0.0.0 baseline.

Core Features

  • MT5 Integration: Real-time connection to MetaTrader 5
  • Smart Money Concepts (SMC): Order Blocks, Fair Value Gaps, BOS/CHoCH detection
  • Machine Learning: XGBoost model for trade signal prediction (37 features)
  • HMM Regime Detection: Market classification (trending/ranging/volatile)
  • Risk Management: Multi-tier capital modes (MICRO/SMALL/MEDIUM/LARGE)
  • Session Filtering: Sydney/London/NY session optimization
  • Telegram Notifications: Real-time trade alerts and commands

Advanced Exit Systems

  • v6.0 Kalman Intelligence: Kalman filter for velocity smoothing
  • v6.1 Profit-Tier Strategy: Dynamic exit thresholds based on profit magnitude
  • v6.2 Bug Fixes: ExitReason.STOP_LOSS → POSITION_LIMIT correction
  • v6.3 Predictive Intelligence:
    • Trajectory Predictor (profit forecasting 1-5min ahead)
    • Momentum Persistence Detector (continuation probability)
    • Recovery Strength Analyzer (loss recovery optimization)

Technical Infrastructure

  • Framework: Python 3.11+, Polars (not Pandas), asyncio
  • Models: XGBoost (binary classification), HMM (regime detection)
  • Database: PostgreSQL for trade logging
  • Dashboard: Next.js web monitoring interface
  • Deployment: Docker support with multi-environment configs

Performance Metrics (Baseline)

  • Win Rate: 56-58%
  • Average Win: $2.78 (v6.2) → Target $6-8 (v6.3)
  • Peak Capture: 71% → Target 85%+
  • Daily Loss Limit: 5% of capital
  • Risk per Trade: 0.5-2% (capital-mode dependent)

Version History Format

[MAJOR.MINOR.PATCH] - YYYY-MM-DD

Added

  • New features that are backward compatible

Changed

  • Changes in existing functionality

Deprecated

  • Features that will be removed in future versions

Removed

  • Features that have been removed

Fixed

  • Bug fixes

Security

  • Security vulnerability fixes

Semantic Versioning Guidelines

MAJOR version (x.0.0)

Increment when making incompatible API changes:

  • Breaking changes to core trading logic
  • Removal of major features
  • Database schema changes requiring migration
  • Configuration format changes

Examples:

  • Switching from Pandas to Polars
  • Changing ML model architecture completely
  • Removing hard stop-loss system

MINOR version (0.x.0)

Increment when adding functionality in a backward-compatible manner:

  • New exit strategies (e.g., v6.3 Predictive Intelligence)
  • New indicators or features
  • New filters or risk management modes
  • Enhanced logging or monitoring

Examples:

  • Adding Trajectory Predictor
  • Adding new session filter
  • Implementing Kelly Criterion

PATCH version (0.0.x)

Increment when making backward-compatible bug fixes:

  • Bug fixes that don't change behavior
  • Performance optimizations
  • Documentation updates
  • Code refactoring (no logic changes)

Examples:

  • Fixing ExitReason.STOP_LOSS typo
  • Fixing variable scope errors
  • Correcting log messages

Feature Tracking

Current feature set determines version automatically:

Feature Version Component Impact
Basic Trading (SMC + ML + MT5) 0.x.x Core
Exit v6.0 (Kalman) 0.1.x MINOR
Exit v6.1 (Profit-Tier) 0.2.x MINOR
Exit v6.2 (Bug Fixes) 0.2.1 PATCH
Exit v6.3 (Predictive) 0.3.x MINOR
Fuzzy Logic Controller +0.1 MINOR
Kelly Criterion +0.1 MINOR
Recovery Detector +0.1 MINOR