Software Alternatives & Startups

Embeddable VS AlgoBacktest

Compare Embeddable VS AlgoBacktest and see what are their differences

Embeddable

The toolkit for building fast, interactive, fully-custom analytics experiences into your app.

Rating
0 reviews
Pricing
Paid
AlgoBacktest

AI-powered trading backtesting software, no code required.

Rating
0 reviews
Pricing
Freemium Free trial €800 / Annually (Unlimited backtests, all markets, MT5 Live, AI assistant)
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

Based on our record, Embeddable seems to be more popular. It has been mentioned 2 times since March 2021.

social mentions
2 vs 0
Data Dashboard popularity
100% vs 0%
alternatives listed
78 vs 23

Base details

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

Embeddable
AlgoBacktest
Website embeddable.com algobacktest.com
Pricing
Paid
Freemium Free trial €800 / Annually (Unlimited backtests, all markets, MT5 Live, AI assistant) Official pricing
Company Startup from the United Kingdom · 20 - 49 employees · 2023 Startup from France · 1 - 9 employees · 2026
Listed in

About Embeddable and AlgoBacktest

In their own words, as submitted to SaaSHub.

Embeddable
AlgoBacktest

Build Remarkable Analytics Experiences. No more 'Build vs. Buy'. Embeddable is the embedded analytics tool where you own the front-end code and we handle everything else. Now you can build fully-bespoke, fast-loading charts and dashboards in your app without the engineering costs. Delight...

Read more about Embeddable

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,...

Read more about AlgoBacktest

Features and specs

What each product offers, as listed by its team.

Embeddable 14 features
AlgoBacktest 5 features
  • Cloud-Hosted Option
  • Self-Hosted Option
  • Frontend SDK
  • No-code Dashboard Builder
  • Performant Embedding
  • Row-Level Security
  • Configurable Cache
  • Compatible with Major Databases
  • Compatible with Charting Libraries
  • Template Charting Components Provided
    Included
  • Dedicated Account Management
  • Version Control
  • Audit Logs
  • Documentation
  • Backtesting capabilities
    AlgoBacktest is designed to let traders test their algorithmic trading strategies against historical market data, which helps validate strategy performance before committing real capital.
  • Risk reduction
    By simulating strategies on past data, users can identify weaknesses and refine their approach, potentially reducing the risk of losses in live trading.
  • Time efficiency
    Automated backtesting tools can process large amounts of historical data quickly, saving traders significant time compared to manual analysis.
  • Data-driven decisions
    The platform enables users to make trading decisions based on quantitative metrics and performance statistics rather than intuition alone.
  • Strategy optimization
    Users can iterate on and fine-tune parameters to optimize their strategies for better historical performance.

Possible disadvantages

  • Overfitting risk
    Backtesting platforms can encourage over-optimization of strategies to fit historical data, which may not translate to profitable performance in live markets.
  • Data quality dependency
    The accuracy of backtest results depends heavily on the quality and completeness of the historical data provided, and gaps or errors can lead to misleading conclusions.
  • Learning curve
    Algorithmic backtesting tools often require knowledge of programming, statistics, and trading concepts, which may be challenging for beginners.
  • Past performance limitations
    Historical results do not guarantee future outcomes, as market conditions change, potentially rendering strategies less effective over time.
  • Unverified claims
    Without independent reviews or transparent information about pricing, features, and reliability, it is difficult to assess the platform's actual value and trustworthiness.

Analysis

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

Embeddable
AlgoBacktest

No analysis of Embeddable yet.

Overall verdict

  • AlgoBacktest appears to be a niche backtesting platform aimed at retail traders and algo developers, but since I don't have verified, up-to-date information about this specific product (its features, pricing, reliability, or user reviews), I can't confirm its quality with certainty. You should independently verify its data accuracy, supported markets, and user feedback before relying on it.

Why this product is good

  • Backtesting tools generally help traders validate strategies against historical data before risking real capital.
  • If it offers a free trial or demo, you can test its interface and data quality firsthand.
  • Platforms in this space often support multiple asset classes and scripting for custom strategies, which can be valuable for quants.
  • Community reviews and forums (like Reddit or Trustpilot) can reveal real user experiences not captured in marketing materials.

Recommended for

  • Retail traders wanting to validate strategies before live trading
  • Developers building or testing algorithmic trading systems
  • Users who prioritize verifying data accuracy and platform reliability through independent research before committing
  • Those comfortable evaluating a relatively unverified or lesser-known fintech tool

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
Embeddable
AlgoBacktest
100% 100%
0% 0%
0% 0%
100% 100%
100% 100%
0% 0%
0% 0%
100% 100%

Questions & Answers

As answered by people managing Embeddable and AlgoBacktest.

How would you describe the primary audience of your product?

Embeddable's answer

Software companies who care about the UX and loading speed of their customer-facing analytics.

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.

What makes your product unique?

Embeddable's answer

Get the best of 'Build vs. Buy' in one stack-agnostic solution. Embeddable gives you full control over the frontend of your analytics experience, and handles the backend for you. No longer do you have to choose between a limited out-of-the-box solution, or building everything from scratch.

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.

What's the story behind your product?

Embeddable's answer

Embeddable is from the team behind Trevor.io -- a popular internal BI tool which also allows you to embed dashboards into your app. We realised embedding dashboards from a BI tool into your app wasn't the 'dream solution', and building analytics from scratch was super expensive... so we built Embeddable from the ground up to enable teams to deliver fully-bespoke, highly-performant analytics in their apps for their customers in 10% of the time.

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.

Who are some of the biggest customers of your product?

Embeddable's answer

  • Scalapay
  • Adthena
  • Irwin
  • EtonX
  • Resident Advisor
  • Facilities Solutions Group (FSG)
  • Multibrain
  • Raydiant
  • ThinkCERCA
  • Tixly
  • Softools
  • Faheem App
  • Just Move In
  • Any Creek

AlgoBacktest's answer:

  • Beginner traders learning to test strategies before risking real money
  • Self-directed Forex, futures and stock traders who don't want to code
  • Traders exploring a new, data-driven approach to strategy validation
  • Intermediate traders moving from manual to algorithmic trading

Why should a person choose your product over its competitors?

Embeddable's answer

If you want full control over the UX of your customer-facing analytics experience, but don't want to invest months of developer time on building and maintaining a fully-custom build -- OR -- if you're using an embedded analytics too already that loads slowly and doesn't look and feel like the rest of your platform.

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).

Which are the primary technologies used for building your product?

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.

User comments

Share your experience with using Embeddable and AlgoBacktest. For example, how are they different and which one is better?

Log in or Post with

Reviews and articles

External articles and on-site reviews we used to compare the two products.

Embeddable no reviews yet
AlgoBacktest no reviews yet
  • 6 Best Looker alternatives
    trevor.io · Jun 2024

    After a successful, oversubscribed Private Beta, Embeddable is now publicly available. More information on how to work with Embeddable can be found on their homepage at embeddable.com. Get in touch with the Embeddable...

  • Power BI Embedded vs Looker Embedded: Everything you need to know
    embeddable.com · Nov 2023

    The main differences between Power BI Embedded and Embeddable are performance, price, and customizability. Embeddable gives you full control over your charting components and data models. It’s also built from the...

  • Embedded analytics in B2B SaaS: A comparison
    medium.com · Nov 2023

    I’m happy to say that we’ve enrolled in the beta program of Embeddable. After learning all the above it seems like this is the option we’d want to invest in. We’ll keep you posted on how this pans out, but we’re...

We have no reviews of AlgoBacktest yet. Be the first one to post

Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

Embeddable 2 mentions
AlgoBacktest 0 mentions
  • AI in BI tools: why we're not there yet
    Then comes data modeling. BI tools such as Embeddable need to know how different tables and fields relate to each other. Someone has to define what terms like “top customer” or “Q3 revenue” actually mean. Without this, the AI won't know... - Source: dev.to / over 1 year ago
  • Apache Superset
    It’s still pretty new but build by an experienced team. It’s commercial software though. https://embeddable.com/. - Source: Hacker News / over 2 years ago

Tracking AlgoBacktest since May 2026.

Alternatives to Embeddable and AlgoBacktest

When comparing Embeddable and AlgoBacktest, you can also consider the following products.