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QuantConnect
Honest Backtest Engine
Options Backtesting Engine
Portfolio Backtest
Backtrader
MetaTrader5
ETFreplay.com
AI-powered trading backtesting software, no code required.

Website, pricing, platforms and company facts side by side.
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| Website | diffee.me | algobacktest.com |
| Pricing | — | |
| Company | — | Startup from France · 1 - 9 employees · 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of Diffee yet.
AlgoBacktest is a Windows desktop app for algorithmic trading backtesting with machine learning. You pick your indicators (RSI, ATR, Bollinger, MACD and more) and the AI (LightGBM, XGBoost, CatBoost, LSTM) tests thousands of combinations on years of historical data across Forex, indices, futures,...
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As answered by people managing Diffee and AlgoBacktest.
AlgoBacktest's answer:
AlgoBacktest lets you build and validate trading strategies with machine learning without writing any code. Instead of coding rules yourself, you select the indicators you want and the AI tests thousands of parameter combinations to find what actually holds up. It combines automated strategy search (Optuna), integrated Walk-Forward Analysis for robustness, and a built-in AI assistant that knows your own data — all in one desktop app.
AlgoBacktest's answer:
Python, with LightGBM, XGBoost and CatBoost for gradient-boosted models and LSTM neural networks for sequence modeling. Optuna for hyperparameter and strategy optimization. Integration with MetaTrader 5 for live deployment and a Telegram bot for remote monitoring.
AlgoBacktest's answer:
Most backtesting platforms require programming (QuantConnect) or manual rule-building (MetaTrader, TradingView). AlgoBacktest does the heavy lifting for you: the AI discovers the strategies, and the built-in Walk-Forward Analysis stress-tests them on unseen data so you avoid overfitting. It's designed for traders who want serious quantitative analysis without learning to code, with a free tier and a 14-day Pro trial (no credit card).
AlgoBacktest's answer:
Beginner to intermediate retail traders, mainly in Forex, who don't code but want to automate and validate their strategies. They value independence — no paid signals, no gurus — and want data-driven decisions before risking real capital.
AlgoBacktest's answer:
AlgoBacktest started from a simple frustration: powerful backtesting tools were either reserved for programmers or too shallow to trust. Most retail traders test strategies on a single period, fall for overfitted results, and lose money in live trading. The goal was to put real quantitative methods — machine learning and walk-forward validation — in the hands of traders who don't code, in a tool that's honest about risk rather than promising easy profits.
AlgoBacktest's answer:
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