# CLAUDE.md This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository. ## Project Overview 缠论 (Chan Theory) technical analysis system for Freqtrade. Implements Chan Zhong Shui Chan's theory for crypto/stock trading, including fractal (分型), stroke (笔), segment (线段), pivot/center (中枢), and buy/sell point (买卖点) detection. ## Core Architecture ### Chan Theory Engine (`Chan*.py`) Data processing pipeline (each step feeds the next): 1. **`ChanKLU.py`** — Raw K-line unit with TA indicators (EMA, MACD, RSI, Bollinger Bands) 2. **`ChanKLC.py`** — Combined K-line: inclusion processing (包含处理), fractal (分型) detection 3. **`ChanBI.py`** — Stroke (笔): basic trend unit connecting alternating fractals 4. **`ChanSEG.py`** — Segment (线段): built from strokes 5. **`ChanZS.py`** / **`ChanBIZS.py`** — Center/pivot (中枢): consolidation zones (stroke-level and segment-level) 6. **`ChanBSP.py`** — Buy/Sell points (买卖点): Type 1/2/3 signals 7. **`ChanLun.py`** — Main orchestrator: ties all steps together, entry point 8. **`TF_DF.py`** — Timeframe-aware DataFrame processor: resamples data, runs the full pipeline per timeframe, handles multi-timeframe analysis ### Support modules - **`ChanEnum.py`** — All enumerations: K-line types, fractal types, MACD states, buy/sell point types, EMA position/semantic states, K-line patterns - **`ChanMACD.py`** / **`ChanMACDHistSet.py`** / **`ChanMACDSeg.py`** / **`ChanMACDUnitTF.py`** — MACD state analysis and divergence detection - **`ChanKLU.py`** — K-line unit with candlestick pattern recognition (`Chan_KLU_PATTERN`) - **`ChanPY.py`** — Consolidation (盘整) analysis - **`ChanHeng.py`** — Sideways market analysis - **`Chan_FX_Box.py`** — Fractal box (分型箱体) detection ### Services - **`data_provider/`** — FastAPI data service: fetches crypto data from Binance via CCXT, caches to CSV, serves REST API + WebSocket. Synthesizes derived timeframes (e.g. 5m/15m/4h from 1m/1h base). Port 9009. - **`web/`** — Flask web UI for interactive chart visualization with Chan theory overlays. Port 8123. - **`strategies/`** — Freqtrade trading strategies using the Chan theory engine (40+ strategies) - **`config/`** — Freqtrade JSON config files per pair/timeframe ### Data Flow ``` Exchange (CCXT) → data_provider (CSV cache) → Freqtrade → Strategy → ChanLun → TF_DF → KLU → KLC → BI → SEG → ZS → BSP ``` ## Common Commands ### Freqtrade Trading ```bash # Live trade freqtrade trade -c ./user_data/Chan/config/.json --strategy --strategy-path ./user_data/Chan/strategies # Backtest freqtrade backtesting -c ./user_data/Chan/config/.json --strategy --strategy-path ./user_data/Chan/strategies --timerange=20251008- # Download data freqtrade download-data -c ./user_data/Chan/config/.json -t 1m 1h 1d --pairs BTC/USDT:USDT --timerange=20240101- # Hyperopt freqtrade hyperopt --hyperopt-loss SharpeHyperOptLossDaily --spaces roi --strategy --strategy-path ./user_data/Chan/strategies -c ./user_data/Chan/config/.json -e 200 --timerange=20250201-20250901 # Plot freqtrade plot-dataframe --strategy --datadir user_data/data/binance -c ./user_data/Chan/config/.json --timerange=20250721- ``` ### Data Provider ```bash # Docker cd data_provider && docker compose up -d # Direct cd data_provider && python main.py # With custom config CONFIG_PATH=./config.json python main.py ``` ### Web UI ```bash cd web && python app.py # or via gunicorn: gunicorn -w 4 -b 0.0.0.0:8123 app:app # Deploy scripts: cd web && ./deploy.sh # standard cd web && ./deploy_venv.sh # Ubuntu 22.04+ (venv) ``` ### Docker (Freqtrade) ```bash sudo docker compose run --rm chanlun_btc backtesting -c ./user_data/Chan/config/.json --strategy --strategy-path ./user_data/Chan/strategies --timerange=20250721- ``` ## Key Conventions - All Chan theory classes are prefixed with `Chan` (e.g., `ChanBI`, `ChanZS`) - Strategies import `ChanLun` and add `sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))` to import from parent - MACD params: `MACD(26, 52, 9)` by default (slow period 52 instead of standard 26) - Enums in `ChanEnum.py` use `auto()` values - `ChanKLC` is a linked-list style data structure with `.next`/`.pre` pointers - The `TF_DF` class is the primary data container per timeframe - K-line direction uses `Chan_KLINE_DIR` (UP/DOWN/COMBINE/INCLUDED) - All text comments/commits are in Chinese