4.6 KiB
4.6 KiB
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):
ChanKLU.py— Raw K-line unit with TA indicators (EMA, MACD, RSI, Bollinger Bands)ChanKLC.py— Combined K-line: inclusion processing (包含处理), fractal (分型) detectionChanBI.py— Stroke (笔): basic trend unit connecting alternating fractalsChanSEG.py— Segment (线段): built from strokesChanZS.py/ChanBIZS.py— Center/pivot (中枢): consolidation zones (stroke-level and segment-level)ChanBSP.py— Buy/Sell points (买卖点): Type 1/2/3 signalsChanLun.py— Main orchestrator: ties all steps together, entry pointTF_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 patternsChanMACD.py/ChanMACDHistSet.py/ChanMACDSeg.py/ChanMACDUnitTF.py— MACD state analysis and divergence detectionChanKLU.py— K-line unit with candlestick pattern recognition (Chan_KLU_PATTERN)ChanPY.py— Consolidation (盘整) analysisChanHeng.py— Sideways market analysisChan_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
# Live trade
freqtrade trade -c ./user_data/Chan/config/<config>.json --strategy <StrategyName> --strategy-path ./user_data/Chan/strategies
# Backtest
freqtrade backtesting -c ./user_data/Chan/config/<config>.json --strategy <StrategyName> --strategy-path ./user_data/Chan/strategies --timerange=20251008-
# Download data
freqtrade download-data -c ./user_data/Chan/config/<config>.json -t 1m 1h 1d --pairs BTC/USDT:USDT --timerange=20240101-
# Hyperopt
freqtrade hyperopt --hyperopt-loss SharpeHyperOptLossDaily --spaces roi --strategy <StrategyName> --strategy-path ./user_data/Chan/strategies -c ./user_data/Chan/config/<config>.json -e 200 --timerange=20250201-20250901
# Plot
freqtrade plot-dataframe --strategy <StrategyName> --datadir user_data/data/binance -c ./user_data/Chan/config/<config>.json --timerange=20250721-
Data Provider
# 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
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)
sudo docker compose run --rm chanlun_btc backtesting -c ./user_data/Chan/config/<config>.json --strategy <StrategyName> --strategy-path ./user_data/Chan/strategies --timerange=20250721-
Key Conventions
- All Chan theory classes are prefixed with
Chan(e.g.,ChanBI,ChanZS) - Strategies import
ChanLunand addsys.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.pyuseauto()values ChanKLCis a linked-list style data structure with.next/.prepointers- The
TF_DFclass 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