Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
Crypto Backtest
Crypto futures backtesting engine with built-in EMA, RSI, MACD, and Bollinger Band strategies. Fetches OHLCV data from any ccxt-supported exchange (Bybit, Bi...
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Crypto futures backtesting engine with built-in EMA, RSI, MACD, and Bollinger Band strategies. Fetches OHLCV data from any ccxt-supported exchange (Bybit, Bi...
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, references/custom_strategy.md, references/strategy_notes.md, scripts/backtest_engine.py, scripts/sweep.py
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- Sunnyztj
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Crypto Backtest Engine
Fast, scriptable backtesting for crypto futures strategies. Fetches data via ccxt, runs strategies, reports metrics.
Quick Start
pip install ccxt numpy python scripts/backtest_engine.py --symbol ETH/USDT:USDT --strategy ema --fast 12 --slow 26
Features
Multi-exchange: Any ccxt-supported exchange (Bybit, Binance, OKX, Bitget...) Built-in strategies: EMA crossover, RSI, MACD, Bollinger Bands Parameter sweep: Test all combinations automatically Risk simulation: Configurable leverage, position size, SL/TP, fees JSON export: Machine-readable results for pipeline integration Custom strategies: Simple plug-in interface
Single Strategy
python scripts/backtest_engine.py \ --symbol SOL/USDT:USDT \ --strategy rsi \ --period 14 --oversold 30 --overbought 70 \ --capital 1000 --leverage 5
Parameter Sweep
python scripts/sweep.py \ --symbol ETH/USDT:USDT \ --strategies ema,rsi,macd,bbands \ --capital 1000 --leverage 5 \ --output results.json
Custom Strategy
See references/custom_strategy.md for the plug-in interface.
Output Metrics
Each backtest reports: Total trades, win rate, profit factor Total PnL (absolute + percentage) Max drawdown Best/worst trade Final balance
Files
scripts/backtest_engine.py โ Core engine with EMA, RSI, MACD, Bollinger Bands scripts/sweep.py โ Multi-strategy parameter sweep runner references/custom_strategy.md โ Guide for adding custom strategies references/strategy_notes.md โ Notes on each built-in strategy's edge cases
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
3 Docs2 Scripts
- SKILL.md
- references/custom_strategy.md
- references/strategy_notes.md
- scripts/backtest_engine.py
- scripts/sweep.py