crypto_predictor
e7e01516ba
chore: staged changes
2026-02-27 13:36:37 +08:00
subuhui
1d732844e3
retry
2026-02-24 17:42:00 +08:00
crypto_predictor
f13b1c1afe
update polymarket trading: fix auth, add order monitoring, optimize status handling, remove unused scripts
2026-02-12 21:47:09 +08:00
crypto_predictor
2993014fa8
feat: upgrade to multi-model ensemble system
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- Updated DB schemas: added 'strategy' to trades, new 'hourly_model_predictions' wide table
- Refactored backend: api/models.py, api/prediction_service.py to support wide format
- Updated trader: auto_trade_polymarket.py now logs strategy and saves to new table
- Updated frontend: index.html and app.js to display multi-model accuracy and trade strategy
2026-02-11 22:13:35 +08:00
crypto_predictor
55453d3739
feat(frontend): 添加交易看板，统一时区为CST
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refactor(db): 移除所有SQLite相关代码，迁移至MySQL
2026-02-07 16:48:14 +08:00
crypto_predictor
8de6c54887
feat: Add MySQL support and migration script
2026-02-06 16:35:08 +08:00
crypto_predictor
4bd5cb44e4
data: Add market_data.db
2026-02-06 15:50:34 +08:00
crypto_predictor
db937fdcf9
feat: Add DB logging, price monitoring, and duplicate trade prevention
2026-02-06 15:48:45 +08:00
crypto_predictor
fcf64f4a3d
添加数据库文件
2026-02-04 18:38:09 +08:00
crypto_predictor
59fcb11ffa
接入数据库
2026-02-04 18:35:10 +08:00
crypto_predictor and Claude Sonnet 4.5
9bbdc8d42b
Initial commit: BTC 1h prediction model (53.10% accuracy)
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🎯 项目成果：
- 准确率: 53.10% (2026年测试集)
- 任务类型: 二分类 (预测涨/跌)
- 特征: OHLCV + RSI + MACD (9个特征)
- 训练数据: 2020-2025年BTC小时数据 (52,351序列)
- 测试数据: 2026年1-29日 (484序列)
📊 性能指标：
- 精确率: 51.79%
- 召回率: 49.36%
- F1分数: 0.5054
- 预测分布: 非常平衡 (偏差仅-11个)
🔬 实验历史：
- 尝试了5种方案 (回归/分类, 不同数据划分)
- 分类任务优于回归任务 (53.10% vs 49.5%)
- 全量训练避免了过拟合问题
📦 主要模型文件：
- models/checkpoints/dlinear_classification_2026/
- best_model.pt (最佳模型)
- preprocessor.pkl (预处理器)
- test_2026_results.json (测试结果)
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com >
2026-01-29 21:27:15 +08:00
crypto_predictor
subuhui