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Showing 4 open source projects for "performance testing"

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1

Barter

Open-source Rust framework for building event-driven systems

Barter is an open-source, Rust-based ecosystem of libraries for building high-performance, event-driven algorithmic trading systems—covering live trading, paper trading, and backtesting. It is designed for safety, speed, and flexibility in quantitative finance workflows. Use mock MarketStream or Execution components to enable back-testing on a near-identical trading system as live-trading. Centralised cache-friendly state management system with O(1) constant lookups using indexed data structures. ...

Downloads: 0 This Week

Last Update: 2 days ago
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2

AnyTrading

The most simple, flexible, and comprehensive OpenAI Gym trading

gym-anytrading is an OpenAI Gym-compatible environment designed for developing and testing reinforcement learning algorithms on trading strategies. It simulates trading environments for financial markets, including stocks and forex.

Downloads: 5 This Week

Last Update: 2025-03-13
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3

Robin-Stocks API Library

This is a library to use with Robinhood Financial App

...The supported APIs are Robinhood, Gemini, and TD Ameritrade. If you are contributing to this project and would like to use automatic testing for your changes, you will need to install pytest and pytest-dotenv. You will also need to fill out all the fields in .test.env. I recommend that you rename the file as .env once you are done adding in all your personal information.

Downloads: 2 This Week

Last Update: 2023-05-22
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4

KInvestSim

KInvestSim is an investment simulator for KDE4. It provides facilities for manipulating price and indicator data, writing and testing timing strategies, managing simulated portfolios, and measuring the performance of the simulated portfolios.

Downloads: 0 This Week

Last Update: 2014-05-04
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