Software Alternatives & Startups
Register | Login

Quantopian VS Twelora

Compare Quantopian VS Twelora and see what are their differences

Quantopian

Your algorithmic investing platform

Rating
0 reviews
Promote on VibeVoted
Alternatives Is it good?
Twelora

A no-code MQL5 generator for MetaTrader 5: describe your strategy — entries, exits, filters, risk — and get the Expert Advisor as readable MQL5 source code. One-time payment, and the generated code is yours to publish or resell.

Rating
0 reviews
Pricing
Paid €79.99 / One-off (Lifetime licence · EUR 15 launch price until 30 Nov 2026)
Promote on VibeVoted
Alternatives Is it good?
Deciphrfi
The intelligent crypto financial operation system. sponsored
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?

Finance popularity
100% vs 0%
alternatives listed
35 vs 2

Base details

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

Quantopian
Twelora
Website quantopian.com twelora.com
Pricing —
Paid €79.99 / One-off (Lifetime licence · EUR 15 launch price until 30 Nov 2026) Official pricing
Platforms —
Windows Web Linux Mac +1
Listed in
Development Finance Tool Investing +1
Algorithmic Trading Software No-Code Tools Algorithmic Trading Trading +1

About Quantopian and Twelora

In their own words, as submitted to SaaSHub.

Quantopian
Twelora

No description of Quantopian yet.

Twelora is a no-code generator for MetaTrader 5. You describe the strategy — entries, exits, filters, risk — and Twelora writes the MQL5 source code for the Expert Advisor or indicator. No programming required. It builds Expert Advisors and custom indicators from 75 indicators across 5 families,...

Read more about Twelora

Features and specs

What each product offers, as listed by its team.

Quantopian 5 features
Twelora 9 features
  • Community Collaboration
    Quantopian provided a platform for users to share and collaborate on trading algorithms, enabling users to learn from each other and improve their strategies.
  • Access to Data
    Quantopian offered access to a wide range of financial data sets, which allowed users to develop and back-test their algorithms using historical data.
  • Comprehensive Development Environment
    It featured an integrated development environment (IDE) with tools for coding, testing, and back-testing trading strategies in Python, which was user-friendly and powerful.
  • Educational Resources
    Quantopian provided various educational resources, including lectures, tutorials, and a supportive community forum, which were beneficial for both beginners and experienced traders.
  • Competition and Incentives
    Quantopian organized contests that incentivized users to develop successful trading algorithms, with the potential to receive a live trading allocation from the company.

Possible disadvantages

  • Shutting Down Services
    Quantopian shut down its retail offering in 2020, which meant that users could no longer use their platform for developing and testing new algorithms.
  • Limited Live Trading Options
    Users found limited options for deploying their strategies into live trading. Quantopian allowed this only for algorithms selected for allocation, which reduced accessibility for many users.
  • Dependence on Platform
    Users who developed algorithms on Quantopian's platform were heavily dependent on it, and when it shut down, they had to transition to other platforms, which could be challenging.
  • Resource Limitations
    There were computational and resource limitations for users, which could restrict the complexity of the algorithms and back-testing users could perform without additional infrastructure.
  • Portfolio Selection Process
    The selection process for having algorithms licenced for live trading allocation was competitive and not transparent to many users, which could lead to frustration.
  • Code generation
    Writes MQL5 source code for Expert Advisors and custom indicators
  • Indicators
    75 across 5 families
  • Risk management
    Trailing stops, multi-stage pyramiding
  • Presets
    Save and export configurations as files
  • Code ownership
    Generated code belongs to the user, no revenue share, no attribution
  • Deployment
    Browser-based, plus a single offline HTML file
  • Interface languages
    15
  • Pattern visualisation
  • Licence
    One key for both, up to 5 instances

Videos

Walkthroughs and reviews on video.

Quantopian 2 videos + Add
Twelora 0 videos + Add

Algorithmic Trading with Python and Quantopian p. 1

More videos

  • - Quantopian, simple strategies

No Twelora videos yet. You could help us improve this page by suggesting one.

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
Quantopian
Twelora
100% 100%
Finance
0% 0%
0% 0%
Algorithmic Trading Software
100% 100%
100% 100%
Development
0% 0%
0% 0%
Trading
100% 100%

Questions & Answers

As answered by people managing Quantopian and Twelora.

Why should a person choose your product over its competitors?

Twelora's answer:

Three things decide it: you own the generated code outright, there is no subscription, and the downloaded file keeps working without an internet connection — it runs offline for seven days at a time between licence checks.

If those matter to you, Twelora fits. If you want a hosted platform that also executes your trades, it does not — Twelora generates code and stops there.

What makes your product unique?

Twelora's answer:

Twelora writes the actual MQL5 source code, not a configuration file and not a locked binary. Every Expert Advisor it generates is readable .mq5 that compiles in MetaEditor, and it belongs to the person who generated it — to use, publish or resell, with no revenue share and no attribution required.

Because the output is a plain .mq5 file, a strategy goes into the MetaTrader 5 Strategy Tester directly, and trying a variation is a setting change away.

It is a one-time purchase, and it runs both in the browser and as a single HTML file you keep on your own machine.

How would you describe the primary audience of your product?

Twelora's answer:

Retail traders who use MetaTrader 5 and have a defined strategy but do not write MQL5 themselves. Having a single Expert Advisor built to order typically costs three figures and takes one to two weeks, and every further variation costs again — Twelora removes that step.

It also fits developers who want a working skeleton to edit by hand instead of starting from an empty file.

What's the story behind your product?

Twelora's answer:

Twelora is built by one person. I have worked with MQL5 and MetaTrader for years, and the same thing kept coming up: people have a clear idea of how they want to trade, and the only thing between them and testing it is that they cannot write the code.

That is the part Twelora removes. Once the .mq5 file exists it goes straight into the MetaTrader 5 Strategy Tester, so an idea can be tested without waiting for someone else to build it first — and trying a variation means changing a setting and generating again, rather than commissioning another job.

It is still a one-person product — every line of it, and every support email, comes from me.

Which are the primary technologies used for building your product?

Twelora's answer:

Plain HTML, CSS and JavaScript, no framework. The generator runs entirely in the browser, which is why the same file works online and offline. The output is MQL5 for MetaTrader 5.

User comments

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

Log in or Post with

Alternatives to Quantopian and Twelora

When comparing Quantopian and Twelora, you can also consider the following products.

Loading...