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16 starsTypeScript

Investing Withous Bias or Emotion

by kachurovskiy·Mar 16, 2026·1 point·1 comment

AI Analysis

●●SolidBig BrainNiche Gem

Rust backtesting engine with parallel Hetzner optimization beats pure Python alternatives.

Strengths
  • Rust engine handles heavy backtesting workloads while TypeScript manages API and UI
  • Parallel optimization across multiple headless Hetzner machines for large strategy searches
  • Empirical findings from actual optimization runs document what does and doesn't work
Weaknesses
  • Requires Alpaca brokerage account, limiting users outside supported regions
  • Backtrader and QuantConnect already serve this market with larger user communities
Category
Target Audience

Retail traders and quantitative analysts

Similar To

Backtrader · QuantConnect · Zipline

Post Description

I've spent years actively trading and losing money. It affected my health and relationships negatively. I also realized that my opinion on what's worth buying is more than worthless, what matters is the opinion of the market.

But I didn't want to settle for index funds that hold a lot of under-performing stocks so I've built this tool that allows trading 12000 instruments (stocks, ETFs, metals, real estate, crypto) via statistically proven strategies.

Project is open source, tool is self-hosted, at the very minimum it requires an Alpaca brokerage account, they also provide the necessary market data, alternatively you can use Tiingo or EODHD.

I'm currently running 2 paper trading accounts, fine-tuning parameters like slippage, planning to start ADX on real money soon.

I'm not trying to beat hedge funds and other big players here, instead I'm looking to join them by waiting for a trend to be established (daily time frame, wide stops, long duration trades) and naturally diversifying over all countries and hundreds / thousands of assets.

Overview: https://www.youtube.com/watch?v=LMWcJGPedQY

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