Overview
The summaryStochastly positions itself as an AI‑driven quantitative research desk for Windows 10/11. Users compose strategies in a visual graph builder, run local backtests on their own data, and evaluate overfitting with metrics such as the deflated Sharpe ratio and probability‑of‑break‑out (PBO). The platform includes a built‑in research assistant, a journal for documenting runs, and the ability to export the resulting logic to multiple programming languages, including Python, C++, Rust, Pine Script, and MQL5. Pricing is structured around three paid tiers—Starter, Atelier, and Portfolio—each billed monthly, with a 14‑day free trial that requires no credit card. Limits are noted as "25 credits" per account. The service appears aimed at individual quantitative analysts or small teams who want to prototype and validate strategies without relying on cloud‑based backtests. By keeping the engine local, Stochastly claims to reduce reliance on historical data that may only work in backtests, aligning with its launch tagline. The product also provides research export tools, such as a generated academic‑style paper and code export, to help users move from prototype to production. Stochastly’s workflow is anchored in a desktop app that integrates AI assistance, visual strategy construction, and a suite of statistical validation tools. While the site lists many features, detailed information on credit consumption, integration depth, or enterprise‑level support is not provided.
Stochastly is an AI‑powered quantitative research platform that lets traders build, backtest, and export strategy code locally, starting with a free trial.
What this product is
In plain languageStochastly positions itself as an AI‑driven quantitative research desk for Windows 10/11. Users compose strategies in a visual graph builder, run local backtests on their own data, and evaluate overfitting with metrics such as the deflated Sharpe ratio and probability‑of‑break‑out (PBO). The platform includes a built‑in research assistant, a journal for documenting runs, and the ability to export the resulting logic to multiple programming languages, including Python, C++, Rust, Pine Script, and MQL5. Pricing is structured around three paid tiers—Starter, Atelier, and Portfolio—each billed monthly, with a 14‑day free trial that requires no credit card. Limits are noted as "25 credits" per account. The service appears aimed at individual quantitative analysts or small teams who want to prototype and validate strategies without relying on cloud‑based backtests. By keeping the engine local, Stochastly claims to reduce reliance on historical data that may only work in backtests, aligning with its launch tagline. The product also provides research export tools, such as a generated academic‑style paper and code export, to help users move from prototype to production. Stochastly’s workflow is anchored in a desktop app that integrates AI assistance, visual strategy construction, and a suite of statistical validation tools. While the site lists many features, detailed information on credit consumption, integration depth, or enterprise‑level support is not provided.
From Stochastly's own site:“ Stop trusting strategies that only work in backtests”
What makes Stochastly different?
vs. alternatives in this categoryStochastly differentiates itself by combining an on‑premises engine with AI‑driven assistance, allowing users to run high‑speed local backtests (up to 66,000 evaluations per second) while directly scoring overfitting risk. Its visual strategy builder paired with multi‑language export aims to bridge the gap between research prototypes and production code without relying on cloud‑based backtesting services. The inclusion of a research journal and automatically generated academic‑style papers further positions the platform as a full‑cycle quantitative research desk.
Key features
From the product's own siteA built‑in assistant helps compose graphs, run backtests, and generate research documents within the local workspace.
Users construct strategies using up to 20 node visual graphs, selecting from 52 chart types and causal checks.
Backtests run on the user’s data and include scores like the deflated Sharpe ratio and PBO to flag overfitting.
The platform can export strategy logic to Python, C++, Rust, Pine Script, and MQL5 for deployment on various platforms.
Runs are logged in a journal, and a generated academic‑style paper documents methods, equations, and results.
Who it's for
Grounded in pricing, the site's own claims, and categoryShould use this
Stochastly is suited for individual quant researchers or small teams who need a desktop‑based environment for building and validating strategies, and who are comfortable managing their own data. It also fits users with modest budgets who can work within the $20‑$133.33 per month pricing tiers.
Shouldn't use this
The product may not meet the needs of large enterprises that require multi‑user collaboration, cloud‑scale data processing, or custom SLA support. Users seeking a fully managed hosted solution or unlimited credits may find the "25 credits" limit restrictive.
Use cases
Who uses this and whyQuantitative researchers use Stochastly to prototype and validate trading ideas locally, leveraging AI assistance and overfitting metrics to ensure robustness.
Algo traders employ the visual builder and multi‑language export to quickly translate research graphs into executable code for platforms like TradingView and MetaTrader.
Portfolio managers adopt Stochastly’s research journal and paper export to document strategy performance and present findings to stakeholders.
Where we found it
Some coverage1 or 2 independent sources mention this product. We found 1 independent source. This is a count of places, not a judgement of whether the product's claims are true.
- Own siteProduct website
- Pricing pagePricing page
- Product HuntProduct Hunt listing
- Independent1 independent source — listed under “What others say” below
What works
Grounded in the site's own pages and the evidence foundThe site says the platform offers a 14‑day free trial with no credit‑card requirement and that it exports strategy code to Python®, C++, Rust, Pine Script, and MQL5. Pricing data shows three disclosed paid tiers—Starter $20/mo, Atelier $80/mo, and Portfolio $133.33/mo—plus the trial. An external comparison on Slashdot lists Stochastly alongside Gainium, confirming its presence in the quantitative‑research market.
What to know
Caveats, gotchas, and gapsPricing consists of a 14‑day free trial followed by three disclosed monthly plans (Starter $20, Atelier $80, Portfolio $133.33) and an annual discount. The site notes a limit of "25 credits" but does not explain how credits are consumed. Details such as API access, multi‑user licensing, or enterprise‑level features are not described. This is a recent launch with limited third‑party coverage.
Pros & cons
+Pros
- Provides a local, high‑speed backtesting engine that runs on the user's own hardware.
- Exports strategy logic to multiple popular programming languages, easing deployment.
- Includes AI‑driven assistance and built‑in overfitting metrics to improve research rigor.
−Cons
- Only a 14‑day free trial is offered; there is no permanent free tier.
- The "25 credits" limit is mentioned without explanation of its impact on usage.
- Enterprise‑level features and multi‑user collaboration are not described, potentially limiting larger teams.
Pricing
Last checked October 6, 2026Price not shown on the public pricing page — contact the product for a quote.
What the site says
3 from its own pagesStatements taken from Stochastly's own pages, each with the page it came from. We list them; we do not rule on whether they are true.
- 14-day free trial, no card required.stochastly.com
- Monthly plans: Starter €22, Atelier €89, Portfolio €149.stochastly.com
- Exports strategy code to Python®, C++, Rust, Pine Script, and MQL5.stochastly.com
What others say
1 outside pagesPages from outside Stochastly's own site that are about this product. Open them and decide for yourself.
- Compare Gainium vs. Stochastly in 2026 - Slashdotslashdot.org/software/comparison/Gainium-vs-Stochastly
What's the difference between Gainium and Stochastly? Compare Gainium vs. Stochastly in 2026 by cost, reviews, features, integrations, and more.
How we checked this one
Full methodologyThis review was produced by the SaaSNet.work pipeline — no hands-on testing, no payment from the product. Here's exactly what was checked for Stochastly.
We never tested the product hands-on and never accepted payment for this review. Spot something wrong? Request a correction.
Frequently asked questions
4 questionsIs Stochastly free?
The product offers a 14‑day free trial with no credit‑card required, after which users must select a paid plan.
How much does Stochastly cost?
Pricing tiers are Starter at $20 per month, Atelier at $80 per month, and Portfolio at $133.33 per month, with annual discounts listed in the pricing data.
What languages can Stochastly export strategy code to?
The site says it can export code to Python®, C++, Rust, Pine Script, and MQL5.
What limitations does Stochastly have?
The only explicit limit mentioned is "25 credits" per account; other limits such as data size or concurrent runs are not detailed.
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