High-frequency trading and market-making backtesting tool with examples
High-frequency trading and market-making backtesting tool with examples launched on June 21, 2024 with 148 votes, #343 of 4,672 launches that month and more than 95% of that year's launches. The site was not reachable when checked in September 2026.
In plain words
This is a backtesting tool designed for high-frequency trading and market-making strategies. It provides users with the ability to test trading algorithms against historical market data to evaluate performance before live deployment. The tool includes example strategies to help users understand how to build and test their own approaches. It targets traders and developers interested in algorithmic trading, offering a practical way to validate trading logic on past market conditions.
written from the facts on this page · September 2026
Does a similar job
all alternatives →- IMI'm building an open-source, high-frequency trading system2013 · scarcecapital.com · ▲301
- QBQuantblocks - Backtest your trading strategies2012 · quantblocks.com · ▲99
We think backtesting is too difficult, this is our attempt to make it much easier and more fun - let us know what you think!
- BTBacktest Trading Strategies: A Quantopian Alternative2020 · tradytics.com · ▲35
- IBI built a tool to find trading signals that aren't just random luck2025 · hikaro.app · ▲9
Hi HN, I'm a solo dev and for the last few months I've been building Hikaro, a tool to find statistically significant trading signals for [e.g., US equities, crypto, forex]. I built this to solve my own problem: I was tired of backtests that looked great on paper but failed in practice. Simple metrics like "win rate" can be misleading, so I wanted a way to quickly tell if a signal's performance was genuine or just noise. Hikaro ingests daily market data and runs statistical analysis on various trading signals. The goal is to surface signals with strong properties, like: Low p-value: Evidence…


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