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Open-source crypto trading bot. Strategy development in Python, backtesting, hyperparameter optimization, dry-run and live trading. Supports major exchanges via CCXT. Telegram integration for monitoring.
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/mkurman/zorai --skill freqtrade命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
基于 SOC 职业分类
正在显示 SKILL.md
| name | freqtrade |
| description | Open-source crypto trading bot. Strategy development in Python, backtesting, hyperparameter optimization, dry-run and live trading. Supports major exchanges via CCXT. Telegram integration for monitoring. |
| tags | ["crypto","trading-bot","backtesting","automation","strategy","ccxt","zorai"] |
Freqtrade is an open-source crypto trading bot written in Python. Supports strategy development, backtesting, hyperparameter optimization, and dry-run or live trading via 100+ exchange backends (CCXT).
git clone https://github.com/freqtrade/freqtrade.git
cd freqtrade
uv pip install -e .
from freqtrade.strategy import IStrategy
class MyStrategy(IStrategy):
timeframe = "1h"
minimal_roi = {"0": 0.01}
stoploss = -0.05
def populate_indicators(self, dataframe, metadata):
dataframe["rsi"] = 100 - (100 / (1 + dataframe["close"] / dataframe["close"].shift(14)))
return dataframe
def populate_buy_trend(self, dataframe, metadata):
dataframe.loc[(dataframe["rsi"] < 30) & (dataframe["volume"] > 0), "buy"] = 1
return dataframe
freqtrade backtesting --strategy MyStrategy --timerange 20240101-20241231
freqtrade trade --strategy MyStrategy --dry-run