backtide 0.1.0

A refreshingly simple trading backtester for beginner retail investors

A refreshingly simple trading backtester for beginner retail investors

📜 Overview

General Information
Repository
Build
Code

💡 Introduction

Backtide is an open-source backtesting platform for Python, built for retail investors who want to test trading ideas without drowning in complexity. A Rust-powered core keeps simulations fast, while sensible defaults let you go from raw multi-exchange data to validated strategies in just a few lines of code. Every setting can still be fine-tuned when needed, but you never have to.

❗ Why you should use Backtide?

• Fast — Rust-powered engine runs backtests in a fraction of a second.
• Simple — Sensible defaults mean a working backtest in minutes, not hours of configuration.
• Flexible — Every parameter is exposed and customizable when you need full control.
• Multi-exchange — Stocks, ETFs, forex and crypto from Yahoo, Binance, Kraken and more.
• Batteries included — Built-in strategies and technical indicators out of the box.
• Rich analytics — 20+ plots cover PnL, returns, drawdown and more.
• Interactive UI — Professional UI to configure, run and analyze experiments visually.
• Open source — MIT-licensed, community-driven and free forever.

📈 Performance

Based on comprehensive benchmarks:

Data download & storage

Operation	Performance	Use Case
OHLC download (1 symbol - 1m)*	~33ms	Data ingestion
OHLC download (1 symbol - 1d)*	~31ms	Data ingestion
Batch insert (100 bars)	~20ms	Bulk processing
Batch insert (10k bars)	~45ms	Bulk processing
Historical read (1000 bars)	~1.5ms	Backtesting
Historical read (1M bars)	~711ms	Backtesting

*Downloads hit real network endpoints. Yahoo Finance applies rate limits, so these numbers are meant as a reference, not a strict benchmark.

Backtest (11k bars)

Strategy	Performance	Use Case
Buy & Hold	~1.1ms	Backtesting
ROC Rotation	~1.1ms	Backtesting
RSRS Rotation	~1.1ms	Backtesting
Multi-BB Rotation	~1.2ms	Backtesting
ROC	~1.3ms	Backtesting
Triple RSI Rotation	~1.5ms	Backtesting
VCP	~1.5ms	Backtesting
RSRS	~1.7ms	Backtesting
Double Top	~2.2ms	Backtesting
Momentum	~4.1ms	Backtesting
SMA Naive	~4.2ms	Backtesting
Alpha RSI Pro	~4.5ms	Backtesting
Turtle Trading	~4.6ms	Backtesting
Risk Averse	~4.9ms	Backtesting
BB Mean Reversion	~5.5ms	Backtesting
MACD	~6.3ms	Backtesting
Adaptive RSI	~7.4ms	Backtesting
SMA Crossover	~7.7ms	Backtesting
Hybrid Alpha RSI	~7.9ms	Backtesting
RSI	~8.8ms	Backtesting

📘 Documentation

Relevant links
⭐ About	Learn more about the package.
🚀 Getting started	New to backtide? Here's how to get you started!
👨‍💻 User guide	How to use backtide and its features.
🎛️ API Reference	The detailed reference for backtide's API.
❔ FAQ	Get answers to frequently asked questions.
🔧 Contributing	Do you wan to contribute to the project? Read this before creating a PR.
🌳 Dependencies	Which other packages does backtide depend on?
📃 License	Copyright and permissions under the MIT license.