backtrader
$
npx mdskill add mkurman/zorai/backtraderBacktest trading strategies with realistic commission and slippage.
- Simulates historical market data for equity, futures, and crypto strategies.
- Integrates Yahoo Finance data feeds and custom broker models.
- Executes trades based on technical indicators like SMA crossovers.
- Generates performance charts and final portfolio value reports.
SKILL.md
.github/skills/backtraderView on GitHub ↗
---
name: backtrader
description: "Python backtesting framework for trading strategies. Data feeds, brokers, analyzers, and live trading support. Strategy development with commission models, slippage, and signal-based execution."
tags: [backtesting, trading, strategy, backtest, quant-finance, python, zorai]
---
## Overview
Backtrader is a Python backtesting framework for trading strategies. Supports multiple data feeds, live trading, commission/slippage models, custom analyzers, and visualization. Well-suited for equity, futures, and crypto strategy development.
## Installation
```bash
uv pip install backtrader
```
## SMA Crossover
```python
import backtrader as bt
class SmaCross(bt.Strategy):
params = dict(short=10, long=30)
def __init__(self):
sma_short = bt.ind.SMA(self.data.close, period=self.params.short)
sma_long = bt.ind.SMA(self.data.close, period=self.params.long)
self.crossover = bt.ind.CrossOver(sma_short, sma_long)
def next(self):
if self.crossover > 0:
self.buy()
elif self.crossover < 0:
self.sell()
cerebro = bt.Cerebro()
data = bt.feeds.YahooFinanceData(dataname="AAPL", fromdate="2022-01-01", todate="2023-01-01")
cerebro.adddata(data)
cerebro.addstrategy(SmaCross)
cerebro.broker.setcash(10000.0)
print(f"Final value: ${cerebro.run()[0]:.2f}")
cerebro.plot()
```
## References
- [Backtrader docs](https://www.backtrader.com/docu/)
- [Backtrader GitHub](https://github.com/mementum/backtrader)More from mkurman/zorai
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