Phase 1: Event-driven backtester, 5 strategies, and baseline results

- Built event-driven backtesting engine with spread/slippage modeling,
  3-TP partial closes, trailing stops, and rich trade logging (20+ features)
- Implemented 5 strategy signal generators (MA Breakout, VWAP Reversal,
  Key Level Breakout, EMA Ribbon Scalp, Momentum Exhaustion)
- Full indicator library (EMA, SMA, RSI, ATR, MACD, ADX, Stochastic,
  Session VWAP bands, swing points, key levels, RSI divergence)
- Data pipeline: Dukascopy download, validation, 70/30 train/test split
- Baseline results: all 5 strategies generate 200+ trades on training data
  (Jan 2021 - Aug 2023), best profit factors 0.82-0.96 on select pairs
- Trade logs and reports saved for Phase 3 ML feature engineering

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
Brent Neale
2026-02-18 06:04:40 +10:00
co-authored by Claude Opus 4.6
parent 5d7f6c60a9
commit dce54845c2
103 changed files with 26083 additions and 123 deletions
+19 -1
View File
@@ -6,12 +6,22 @@ brokers:
type: oanda_v20
enabled: true
instruments:
- GBP_AUD
- EUR_AUD
- EUR_CAD
- EUR_NZD
- GBP_USD
- EUR_USD
- GBP_JPY
- USD_JPY
- EUR_GBP
- GBP_CAD
data:
candle_count: 200
candle_granularities:
- M5
- M15
- H1
- H4
tick_export: false
features:
sma_windows:
@@ -19,12 +29,20 @@ features:
- 20
- 50
- 100
- 200
ema_windows:
- 20
- 50
- 100
- 200
rsi_period: 14
atr_period: 14
vwap_window: 20
volatility_window: 20
macd: [12, 26, 9]
adx_period: 14
stochastic: [5, 3, 3]
session_vwap_bands: true
ai:
model: local-ensemble
confidence_threshold: 0.75