@DanKornas: Need to test multiple trading strategies without stitching together separate backtest systems? Magents is an open-sourc…
Summary
Magents is an open-source Python framework for simulating and backtesting multiple trading strategies in one system, with isolated strategy pods, an event-driven engine, and central risk controls.
View Cached Full Text
Cached at: 07/24/26, 01:11 PM
Need to test multiple trading strategies without stitching together separate backtest systems?
Magents is an open-source Python framework for builders simulating and backtesting multiple trading strategies in one system.
It helps you test independent strategy pods in one simulation by giving them shared data feeds, central risk controls, and an event-driven backtesting engine.
Key features: • Strategy pods – isolates each strategy with specialized signal, execution, and risk agents • Event-driven engine – processes market-data events, orders, fills, and risk alerts • Central risk controls – supports drawdown, position, leverage, and exposure limits • Backtest configuration – models transaction costs and slippage, plus market, limit, stop, and stop-limit orders • Extension points – lets you add strategies, data feeds, or risk rules without changing core code
It’s open-source (MIT license). The package metadata currently marks version 0.1.0 as Alpha.
Link in the reply
Similar Articles
@DanKornas: Testing a trading strategy shouldn’t mean rebuilding the backtesting stack. AI-Trader is a config-driven Python framewo…
AI-Trader is an open-source Python framework that simplifies backtesting and optimizing algorithmic trading strategies across multiple markets using config-driven YAML files and AI assistant integration.
@DanKornas: A single LLM can blur market data, debate, and risk into one opaque answer. This repo splits the work across specialize…
TradingAgents is an open-source multi-agent LLM framework for financial market analysis, routing market data through specialized agents for research.
@CypherSacha: Madness Someone just released an open-source framework that simulates a real trading floor with AI agents. You launch a…
An open-source framework simulates a real trading floor with multiple AI agents performing fundamental, sentiment, technical, and risk analysis, compatible with major LLMs like GPT-5, Claude 4, and Gemini 3.
@quantscience_: BREAKING: A new open-source multi-agent LLM trading framework in Python It's called TradingAgents. Here's what it does …
A new open-source Python framework called TradingAgents has been released for multi-agent LLM trading, and it's available for free.
Mobius
Mobius is a tool that lets users describe a trade and automatically builds, backtests, and runs it.