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

Vercel
Netlify
Cloudflare Pages
Jekyll
tiiny.host
surge.sh
Neocities
A free, static web host for open-source projects on GitHub

Which is more popular?
Based on our record, GitHub Pages seems to be more popular. It has been mentioned 505 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | algobacktest.com | pages.github.com |
| Pricing | ||
| Company | Startup from France · 1 - 9 employees · 2026 | — |
| Listed in |
In their own words, as submitted to SaaSHub.


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,...
No description of GitHub Pages yet.
What each product offers, as listed by its team.


Possible disadvantages
Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
Overall verdict
Why this product is good
Recommended for
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Intro to GitHub Pages
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How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing AlgoBacktest and GitHub Pages.
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
Share your experience with using AlgoBacktest and GitHub Pages. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


We have no reviews of AlgoBacktest yet. Be the first one to post
GitHub Pages is a free hosting service provided by GitHub, primarily intended for hosting static sites directly from a GitHub repository. While it lacks some of the advanced features found in other platforms, its...
Static Site Generators — It is a good way for developers to build sites on GitHub pages with the help of site generators. Yes, it has the ability to publish and release any static file. But it is recommended to...
Recommendations tracked on public social media and blogs since March 2021.


Tracking AlgoBacktest since May 2026.
My bookmarks have been public since 1998, and the previous version, bookmarks-v3.0, was a static site generated by Jekyll and published on GitHub Pages: it cost nothing, and for a list of public links it was good enough. The criterion... - Source: dev.to / about 1 month ago
The site itself is a statically generated Next.js app, built in CI and deployed to GitHub Pages via actions/deploy-pages. No server to manage, no hosting bill. - Source: dev.to / 7 months ago
Static sites are fast and cheap to host, but your data goes stale the moment you deploy. This post shows how a SvelteKit portfolio site serves live data from five external sources while still deploying as static HTML to GitHub Pages. - Source: dev.to / 8 months ago
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