AI · alternatives · 2026
24 alternatives to RLX Backtester
Fast Rust backtesting engine for quantitative traders
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.
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2024 · github.com · its alternatives →
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Mobius▲93Describe a trade and Mobius builds, backtests, and runs it
May 2026 · joinmobius.com · its alternatives →
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HeyTraders▲128HeyTraders parses natural language queries into trading logic for instant crypto backtesting and market research
Jan 2026 · hey-traders.com · its alternatives →
- 5QB
We think backtesting is too difficult, this is our attempt to make it much easier and more fun - let us know what you think!
2012 · quantblocks.com · its alternatives →
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After training calculator agent via RL, I really wanted to go bigger! So I built RL infrastructure for training long-horizon terminal/coding agents that scales from 2x A100s to 32x H100s (~$1M worth of compute!) Without any training, my 32B agent hit #19 on Terminal-Bench leaderboard, beating Stanford's Terminus-Qwen3-235B-A22! With training... well, too expensive, but I bet the results would be good! *What I did*: - Created a Claude Code-inspired agent (system msg + tools) - Built Docker-isolated GRPO training where each rollout gets its own container - Developed a multi-agent…
2025 · github.com · its alternatives →
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Fabraix▲196We built Adversarial Cost to Exploit (ACE), a benchmark that measures the token expenditure an autonomous adversary must invest to breach an LLM agent. Instead of binary pass/fail, ACE quantifies adversarial effort in dollars, enabling game-theoretic analysis of when an attack is economically rational. We tested six budget-tier models (Gemini Flash-Lite, DeepSeek v3.2, Mistral Small 4, Grok 4.1 Fast, GPT-5.4 Nano, Claude Haiku 4.5) with identical agent configs and an autonomous red-teaming attacker. Haiku 4.5 was an order of magnitude harder to break than every other model; $10.21 mean…
May 2026 · fabraix.com · its alternatives →
- 9BT
2020 · tradytics.com · its alternatives →
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cryptocurrency trading robot. Contribute to owocki/pytrader development by creating an account on GitHub.
2016 · github.com · its alternatives →
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TerraTrade▲12Trading journal and backtester taken to the next level.
2025 · terratrade.app · its alternatives →
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Open-source Python engine for defensible portfolio research
Jul 2026 · backtester.quantjourney.cloud · its alternatives →
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CRTLAB▲2The most realistic way to backtest your trading setups
Jul 2026 · crtlab.pro · its alternatives →
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We built HALO (Hierarchal Agent Loop Optimizer), an open-source tool for debugging and optimizing AI agents using their execution traces. It’s a loop. Run your agent, feed the traces to HALO, get the report, apply the fixes, then re-run your agent. HALO takes in OTEL compliant traces from AI agents using tracing frameworks such as Langfuse, Arize/OpenInference, or even just plain JSONL. It uses an RLM (Recursive Language Model) to more efficiently break trace analysis into smaller subproblems in order to find recurring patterns across large amounts of data and fix systemic issues that…
Jun 2026 · github.com · its alternatives →
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BacktestLoop▲12Turn trading ideas into real Python backtests
Jul 2026 · backtestloop.com · its alternatives →
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A no-code tool to backtest trading strategies
2025 · backtestzone.com · its alternatives →
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- 22TA
I built TradeSight (https://tradesight.live) as a lightweight market risk indicator that combines real-time data with AI insights. The backend is written in Rust, with a vanilla JS frontend for maximum performance. It aggregates data from multiple sources (FRED API, Yahoo Finance) and uses Claude's API to provide detailed market analysis. Technical stack: - No login required - static page with hourly updates - Rust backend for efficient data aggregation - Vanilla JavaScript frontend for minimal overhead - Claude API integration for real-time market analysis - Data sources: FRED…
2024 · tradesight.live · its alternatives →
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BotTrade, a benchmark for autonomous trading agents. Historic market scenarios (hourly bars from real market data), a market simulator, and a public leaderboard. Your agent connects over REST or MCP, trades over the market simulator, and is scored on return and drawdown. Also there is a python SDK and an adapter for this open source project ai-hedge-fund so you can run that project through this benchmark. https://github.com/jyron/bottrade
Jun 2026 · bot-trade.org · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →