Software Alternatives & Startups

CloudQuant VS Twelora

Compare CloudQuant VS Twelora and see what are their differences

CloudQuant

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

Rating
0 reviews
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)
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
44 vs 2

Base details

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

CloudQuant
Twelora
Website info.cloudquant.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

About CloudQuant and Twelora

In their own words, as submitted to SaaSHub.

CloudQuant
Twelora

No description of CloudQuant 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.

CloudQuant 4 features
Twelora 9 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.
  • 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.

CloudQuant 2 videos + Add
Twelora 0 videos + 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

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
CloudQuant
Twelora
100% 100%
0% 0%
100% 100%
0% 0%
0% 0%
100% 100%

Questions & Answers

As answered by people managing CloudQuant 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

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