6d235061b9
- data_provider: new fetch_historical() that paginates /time_series in 5000-bar chunks (1 credit/chunk) for arbitrary date ranges. Tolerates the API's "no data on specified dates" boundary error gracefully when prior chunks succeeded — that error is just the marker that we walked past the symbol's earliest available bar. - seed_history.py: one-shot CLI that downloads OHLCV for the configured pairs/TFs into history/<PAIR>_<TF>.csv. Skips existing files unless --force. - backtest.py: walk-forward replay through SignalAggregator with strict no-look-ahead semantics. Each bar is only visible to the engine after it has fully closed (`df.index + interval <= as_of`). Trade simulation is first-touch (SL vs TP1) with worst-case (SL first if both touched same bar), spread cost deducted from R, max-hold timeout, no-overlap. Reports per-grade win-rate / avg-R / profit-factor / max-DD, plus optional matplotlib equity + by-grade plots. - requirements: add matplotlib (lazy-imported, only needed for --plot). - .gitignore: history/ and backtest_results/ regenerable, kept untracked. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
17 lines
366 B
Plaintext
17 lines
366 B
Plaintext
# Core data + math
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numpy>=1.24
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pandas>=2.0
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# HTTP
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requests>=2.28
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# News sentiment (Gemini LLM)
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google-genai>=1.0 # new unified Google GenAI SDK
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python-dotenv>=1.0 # loads GEMINI_API_KEY and TELEGRAM_BOT_TOKEN from .env
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# Telegram bot
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python-telegram-bot[job-queue]>=20.0
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# Backtest analysis (only needed for `python backtest.py --plot`)
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matplotlib>=3.7
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