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QuantMage VS Honest Backtest Engine

Compare QuantMage VS Honest Backtest Engine and see what are their differences

QM
QuantMage

A tool for non-emotional investment

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Rating
0 reviews
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Honest Backtest Engine

A backtester built to catch strategies that only work on paper

Rating
0 reviews
Pricing
Paid €149 / One-off
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Deciphrfi
The intelligent crypto financial operation system. sponsored

Base details

Website, pricing, platforms and company facts side by side.

QM
QuantMage
Honest Backtest Engine
Website quantmage.app honestbacktester.com
Pricing
Official pricing
Paid €149 / One-off Official pricing
Platforms —
Windows MacOS Linux
Company — Startup from Ireland
Listed in
SaaS Investment Management Trading FINANCE TECHNOLOGY +1
Trading Algorithim Finance Investing Automated Trading +2

About QuantMage and Honest Backtest Engine

In their own words, as submitted to SaaSHub.

QM
QuantMage
Honest Backtest Engine

No description of QuantMage yet.

Most backtests flatter you — great numbers in, great numbers out. Honest Backtest Engine is built to do the opposite: it tests your strategy on data it never saw, models real commission, slippage and borrow, deflates the Sharpe for how many combinations you tried, and Monte-Carlo stress-tests the...

Read more about Honest Backtest Engine

Features and specs

What each product offers, as listed by its team.

QM
QuantMage 5 features
Honest Backtest Engine 0 features
  • Visual Strategy Builder
    QuantMage provides a visual, no-code interface for building quantitative investment strategies, making it accessible to users who may not have programming skills but want to create and test systematic trading approaches.
  • Backtesting Capabilities
    The platform allows users to backtest their investment strategies against historical market data, helping them evaluate performance metrics and understand how their strategies would have performed in different market conditions before committing real capital.
  • Free to Use
    QuantMage offers a free tier that allows users to access core features including strategy building and backtesting, lowering the barrier to entry for retail investors interested in quantitative investing.
  • Pre-built Strategy Components
    The platform provides a library of pre-built indicators, signals, and strategy components (such as moving averages, momentum signals, and asset rotation logic) that users can combine like building blocks to construct complex strategies without starting from scratch.
  • Portfolio and Asset Rotation Strategies
    QuantMage supports asset allocation and rotation strategies, allowing users to build diversified portfolios that dynamically shift between asset classes based on defined rules, which is useful for tactical asset allocation approaches.

Possible disadvantages

  • Limited Community and Ecosystem
    Compared to more established platforms like QuantConnect or TradingView, QuantMage has a smaller user community, which means fewer shared strategies, less peer support, and fewer online resources or tutorials available from third parties.
  • No Live Trading Integration
    QuantMage primarily focuses on strategy building and backtesting, and lacks direct brokerage integration for automated live trading execution, requiring users to manually implement their strategies or use other tools for execution.
  • Potential Overfitting Risk
    As with many visual strategy builders, the ease of tweaking parameters and testing combinations can lead users to overfit strategies to historical data, producing results that look great in backtests but may not perform well in real markets. The platform may not provide sufficient warnings or safeguards against this.
  • Limited Data and Asset Coverage
    The platform may have limitations in terms of the breadth of financial instruments and historical data available, potentially restricting users who want to test strategies across a wide range of global markets, individual stocks, or alternative asset classes.
  • Simplistic for Advanced Users
    While the no-code visual approach is great for beginners, experienced quants and developers may find the platform limiting compared to code-based alternatives that offer full flexibility in strategy logic, custom data integration, and advanced statistical analysis.

No features have been listed yet.

Analysis

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

QM
QuantMage
Honest Backtest Engine

Overall verdict

  • QuantMage is a niche platform for building and backtesting quantitative trading strategies, often through a symbolic/no-code or low-code approach, appealing to users who want to experiment with algorithmic trading ideas without deep programming expertise. It's a good fit for hobbyist quants and strategy tinkerers, though it may lack the robustness, data quality, and support infrastructure of established institutional-grade platforms.

Why this product is good

  • Allows users to build and test trading strategies without extensive coding knowledge
  • Provides an accessible interface for exploring quantitative and algorithmic trading concepts
  • Useful for rapid prototyping and backtesting of trading ideas
  • Community-driven or niche platforms like this often iterate quickly based on user feedback

Recommended for

  • Retail traders experimenting with algorithmic strategies
  • Hobbyists interested in quantitative finance without a programming background
  • Users seeking a lightweight tool for strategy backtesting before committing to more complex platforms
  • Educational purposes for learning how quant strategies are constructed and evaluated

Overall verdict

  • I don't have verified, specific information about honestbacktester.com to confirm its legitimacy, performance claims, or user satisfaction, so I can't responsibly declare it 'good' or 'bad'—you should independently verify its methodology, transparency about slippage/fees, and user reviews before trusting it with trading decisions.

Why this product is good

  • It's a niche backtesting tool that isn't widely covered by major financial media or review sites, making independent verification difficult.
  • Backtesting engines can vary widely in quality depending on how they handle look-ahead bias, survivorship bias, transaction costs, and slippage—claims of being 'honest' should be checked against actual methodology documentation.
  • Without verified user reviews, audited performance data, or transparency reports, any strong endorsement would be speculative.
  • The name suggests a marketing angle emphasizing transparency, which is a positive signal in the backtesting space where many tools overstate results, but naming alone doesn't confirm actual practice.

Recommended for

  • Traders and quants who are willing to do their own due diligence on backtesting methodology before committing capital based on results
  • Users who specifically want a tool marketed around transparency and want to test its claims against known backtesting pitfalls like overfitting and bias
  • Not recommended as a sole basis for live trading decisions without independent verification of its accuracy and track record

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
QM
QuantMage
Honest Backtest Engine
100% 100%
Investment Management
0% 0%
0% 0%
Algorithim
100% 100%
67% 67%
Trading
33% 33%
100% 100%
SaaS
0% 0%

Questions & Answers

As answered by people managing QuantMage and Honest Backtest Engine.

What makes your product unique?

Honest Backtest Engine's answer:

Most backtesting tools are built to make a strategy look good. Honest Backtest Engine is built to do the opposite — to catch the strategy that only works on paper before you risk real money on it. Every run headlines out-of-sample results, charges real trading costs, deflates the Sharpe ratio for how many parameter combinations you tried, and Monte-Carlo stress-tests the outcome. It ends in a single believability score from 0 to 100, and it shows you the checks your strategy failed, not just the ones it passed. No other tool leads with the red marks.

What's the story behind your product?

Honest Backtest Engine's answer:

It was built out of a common, painful experience: strategies that backtest beautifully and then quietly lose money live. That gap is almost always caused by overfitting, ignored costs, look-ahead bias, or a single lucky run mistaken for an edge — and most backtesting tools do nothing to catch it. Honest Backtest Engine exists to run those checks automatically and to be honest about the result, even when the honest answer is "this edge probably isn't real."

Why should a person choose your product over its competitors?

Honest Backtest Engine's answer:

Because it's designed to tell you the truth rather than flatter you. It models real commission, slippage and borrow costs, it's look-ahead-proof, and it produces a tamper-evident signed report anyone can verify without trusting you. It runs entirely on your own machine — your data and strategies never leave your computer. It's a one-time €149 purchase with every future version included, no subscription. And it comes with a guarantee: if it doesn't catch a backtest that was lying to you within 30 days, you get a full refund.

How would you describe the primary audience of your product?

Honest Backtest Engine's answer:

Retail and independent algorithmic traders who build and backtest their own strategies — especially anyone who has watched a great-looking backtest lose money in live trading and wants to know whether an edge is real before funding an account. It suits people comfortable with concepts like Sharpe ratio, overfitting and out-of-sample testing, though the reports are written to be readable without a quant background.

Which are the primary technologies used for building your product?

Honest Backtest Engine's answer:

Python, with pandas and NumPy for the backtesting engine and data handling. Reports and the local interface are rendered as HTML in the browser. Reports are cryptographically signed using Ed25519 so they can be independently verified. It runs as a self-contained local application on Windows, Mac and Linux.

User comments

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