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CloudQuant VS FxBacktest

Compare CloudQuant VS FxBacktest and see what are their differences

CloudQuant

Crowd based algorithmic trading development and backtesing for stock market trading.

Rating
0 reviews
Alternatives Is it good?
FxBacktest

Free browser-based forex backtesting tool. Replay real historical charts, place trades, and review win rate, drawdown, and expectancy — no install needed.

Rating
0 reviews
Pricing
Freemium Free trial €12 / Monthly (Pro)
Alternatives Is it good?
Data Analytic System
Sourced crypto market data with indicator monitoring, market regime context and research. BTC, ETH, XRP, SOL + major indices monitored 24/7. Educational content — not investment advice. sponsored

Which is more popular?

Finance popularity
86% vs 14%
alternatives listed
38 vs 6

Base details

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

CloudQuant
FxBacktest
Website info.cloudquant.com fxbacktest.app
Pricing —
Freemium Free trial €12 / Monthly (Pro) Official pricing
Platforms —
Metatrader5
Company — Startup from Bulgaria · 1 - 9 employees · 2026
Listed in
Development Finance Tool Investing +1
Finance Trading Forex Backtesting Backtesting Software +2

About CloudQuant and FxBacktest

In their own words, as submitted to SaaSHub.

CloudQuant
FxBacktest

No description of CloudQuant yet.

Manual forex backtesting on real historical candles - place trades, manage risk, and see how your edge actually performs without an install or a broker account.

Read more about FxBacktest

Features and specs

What each product offers, as listed by its team.

CloudQuant 4 features
FxBacktest 3 features
  • Data Variety
    CloudQuant provides access to a wide range of alternative datasets, enabling users to explore diverse data sources for more informed trading strategies.
  • Backtesting Features
    The platform offers robust backtesting tools, which allow users to test their trading algorithms under historical market conditions to evaluate their performance.
  • Collaborative Environment
    CloudQuant fosters a collaborative environment where users can share strategies and insights with a community of other developers and traders.
  • Python-Based
    The platform supports Python programming, which is popular among developers for its simplicity and extensive library support, making it accessible for quantitative research.

Possible disadvantages

  • Learning Curve
    New users may face a steep learning curve, particularly if they are unfamiliar with quantitative analysis or programming, which can be a barrier to entry.
  • Cost
    Accessing advanced features or specific datasets on CloudQuant may incur significant costs, which could be prohibitive for individual traders or small firms.
  • Dependence on Internet
    As with any cloud-based platform, using CloudQuant requires a reliable internet connection, which can be a limitation in areas with unstable connectivity.
  • Complexity for Beginners
    The complexity of the platform might overwhelm beginners who might find it challenging to navigate the advanced features without prior experience or guidance.
  • Strategy scripting
    Write a strategy in English and AI will write the code
  • Bar replay
    Replay bars
  • Market regime backtesting
    Backtesting on different premade market regimes

Videos

Walkthroughs and reviews on video.

CloudQuant 2 videos + Add
FxBacktest 1 video + Add

Advanced 1 - CloudQuant presentation for the University of Chicago Financial Program

More videos

  • - SMB Quant (002): “Democratization of Trading” with Paul Tunney from CloudQuant

How to place trades on FxBacktest

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
CloudQuant
FxBacktest
86% 86%
Finance
14% 14%
0% 0%
Trading
100% 100%
100% 100%
Development
0% 0%
0% 0%
Forex
100% 100%

Questions & Answers

As answered by people managing CloudQuant and FxBacktest.

How would you describe the primary audience of your product?

FxBacktest's answer:

Beginner traders who are looking for a good backtesting tool to analyze their strategies.

Which are the primary technologies used for building your product?

FxBacktest's answer:

HTML JavaScript TypeScript CSS Python MQL5 FxScript (custom made in app language)

What makes your product unique?

FxBacktest's answer:

The chart is not just already made from another source, but our own made one. We made the bar replay, position sizing, trade entering and analytics easy to understand and super comfortable to use. Our analytics are a lot and the user can see where his strategy is leaking from a lot of different angles.

Why should a person choose your product over its competitors?

FxBacktest's answer:

We have a lot to offer on our both Pro and Ultra plan. But beside that our Free plans offer a lot of stuff also - 3 free sessions, all symbols unlocked on all timeframes, free manual trade journaling, free live trades journaling in app and a lot more.

What's the story behind your product?

FxBacktest's answer:

A lot of tools just offered a chart to replay and a simple PnL analytics, and having almost no free data to backtest on. We spotted that and made a comfortable tool to use.

User comments

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Alternatives to CloudQuant and FxBacktest

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