
WordPress
Medium
Hashnode
Ghost
Drupal
Joomla
Blogger
Where software engineers connect, build their resumes, and grow.

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

Which is more popular?
Based on our record, DEV.to seems to be more popular. It has been mentioned 714 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | dev.to | algobacktest.com |
| Pricing | — | |
| Company | Startup from the United States | Startup from France · 1 - 9 employees · 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of DEV.to 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,...
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
Walkthroughs and reviews on video.
Ben Halpern founder of Dev.To & The Practical Dev
No AlgoBacktest videos yet. You could help us improve this page by suggesting one.
How often each product is chosen within a category, 0–100% relative to the other.


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


The 'dev.to' forum is a great place for developers to find answers, share their knowledge, and learn from others. It's a place for people to talk about their projects, ask questions, and get feedback.
One of Dev.to’s unique features is its focus on the human side of coding. Developers often share their personal stories, career journeys, and lessons learned, creating a sense of camaraderie within the community. The...
As a mini-blog, it is a nice alternative for Medium to publish and share information about programming. However, the community and the organization are biased toward social justice (and they are open to it). You can...
We have no reviews of AlgoBacktest yet. Be the first one to post
Recommendations tracked on public social media and blogs since March 2021.


Over the past month on Forem (the Rails monolith that powers DEV), we have been gradually replacing dozens of our own internal Ruby modules with Rust. As I wrote in Our Looping Factory Cut DEV Page Load Time by 75% and Counting, one of... - Source: dev.to / about 14 hours ago
A month ago, an average web request on DEV took about 70 milliseconds inside Rails, with P99 response time coming in at over 1s much of the time. Today, across roughly 300,000 sampled requests a day in Better Stack, that number sits at... - Source: dev.to / 8 days ago
In Part 3 of this series, we built our Storage Vault in PostgreSQL 16: co-locating dense pgvector embeddings and full-text BM25 indexes, using Reciprocal Rank Fusion (RRF) to merge candidate chunks into a unified pool of 15 relevant... - Source: dev.to / 5 days ago
Tracking AlgoBacktest since May 2026.
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