The quantitative analysis tools of a large hedge fund. Made for private traders.
Built on the quantitative strategies you generate with StrategyQuant X and on the targeted use of AI with Claude Opus — to improve your trading: your results and your Win Rate.
The project is in development and will be operational from November 2026.
Want to try our quantitative analysis platform and the Realistic Engine AI — without signing up?
Open the platform and work on a selection of public strategies with the Realistic Engine AI 3.0 editor and a limited number of free credits. No registration, no card.
The lab
Research, data and measurement
Nature Law AI Quant is the research arm of a trading lab that has been running since 2009: the engines you use here are the same ones that optimize the strategies we run on our own production accounts.
Since 2009 · the approach
Stefano Mastria trades full-time using the principles of Trend Following: a systematic method that exploits wide market swings through careful planning and attentive risk management.
Since 2014 · the lab
Trend Following Traders was born as a collaborative research lab. Today over 850 traders, organized into research teams, build and measure strategies together.
Today · AI-native
With Claude Opus integrated into the research workflow, we built the engines that optimize StrategyQuant X strategies — on variables, and on complex algorithms.
The edge · the data
Everything we publish is measured: strategy databases, research and production accounts, analyses and backtests built in-house.
The project
A quantitative engine, not a promise of profit
You keep building your strategies with StrategyQuant X. We give you what comes next: optimization, measurement, and a platform to put them to work.
From a large hedge fund
Research, quant engines and institutional-grade technology, placed in the hands of independent traders.
You bring the strategies
You generate them with StrategyQuant X; we optimize and measure. The outcome depends on your own research.
AI that measures, not guesses
The AI studies what produced the greatest profit and derives a set of custom rules — strategy by strategy.
No promise of profit
Nature Law AI Quant provides tools, engines and technology, not return promises. Results depend on your own strategies and your own research. Trading involves a high risk of capital loss.
How we operate
Two engines, one measurement
Every optimization is validated across nine years of market swings, then measured on real accounts.
Realistic Engine AI 3.0
Optimizes risk, monthly drawdown limit, break-even stop, profit targets and trailing stop, recalculating the data across nine years of market swings. Available now.
Nature Law AI Quant 1.0
Three algorithms — Seed, Spiral and Ratio — that derive custom entry and exit rules from what produced the greatest profit. In preparation.
Research and Production Accounts
Every optimized strategy can be put to work on a real account and tracked over time, with an AI analysis system.
The proprietary platform
What the platform gives you
A competitive edge once reserved for large funds, built in-house with AI.
How Nature Law AI Quant works
We carry out research and trading, planning every detail to make our trading increasingly competitive on these 10 markets. You bring the strategies you built with StrategyQuant X: the engines optimize them, the accounts measure them.
EurUsd · GbpUsd · UsdJpy · EurJpy · GbpJpy · XauUsd · XagUsd · US500 · XtiUsd · BtcUsd
Want to join us?
Subscribe and find out whether what we do fits your needs: because if it does, we can do great things together.
Where the optimization comes from, and how it works
We work with our partners StrategyQuant and AWS. On top of the strategies generated with StrategyQuant X we have built two optimization systems: Realistic Engine AI 3.0, based on Variables, and Nature Law AI Quant 1.0, based on Complex Algorithms.
Dynamically optimizes strategies on variables such as risk, monthly drawdown limit, break-even stop, profit targets and trailing stop, recalculating the data over 9 years of market swings. You run it yourself, with the Editor 3.0 and the support of AI.
Optimizes StrategyQuant X strategies with three algorithms. The method is the same for all three: the AI studies the behavior of whatever produced the greatest profit and derives from it a set of custom rules, strategy by strategy. What changes is where they act — one on the entry, two on the exit — and the target is always the Win Rate.
Studies the contexts of the most profitable opportunities and derives a filter from them. When the current context is compatible with the quantitative analysis, Seed grants the MT5 strategy permission to trade. Fewer trades, higher Win Rate.
Studies the morphology of the most profitable trends and derives the exit rules that raise the Win Rate on extended trends.
Studies the same morphology on the short term, to raise the Win Rate where it counts for weekly and intraday profits.
The Strategy DB improves every week
Next-generation strategies for trading mainly with prop trading firms: with the Realistic Engine AI Editor 3.0 you can control the constraints imposed by the various partners and operate within the required limits — drawdown, profit targets, number of trades, etc.
We have ongoing research activities with Darwinex Zero · FTMO · 5%ERS · Alpine Funded · FundedVerse, and we are in contact with other potential partners to set up the collaborations, develop strategies, test them and publish them for our subscribers.
One subscription. Credits for the computing.
One level, everything included. Credits are the fuel for the computing only: the subscription renews them every month, and active subscribers can top up when they need more.
- Upload your own strategies built with StrategyQuant X — to run quantitative analysis on their backtests and optimize them with Realistic Engine AI 3.0 or, soon, Nature Law AI Quant 1.0
- Realistic Engine AI Editor 3.0 — optimize your own StrategyQuant X strategies on variables, with AI support (powered by Claude Opus)
- Full access to our Strategy DB — strategies built with StrategyQuant X, on an advanced AWS computing platform on a par with a large hedge fund: use them and optimize them with our AI-powered engines
- Exclusive strategy slots — a maximum of 4 slots per strategy, reserved for you
- Research and Production Accounts with an AI analysis system — to collect data and make decisions like a trader at a large hedge fund
- Custom Analysis and Backtest Pages — to document events and measure their effectiveness over time
- Advanced Quantitative Analysis platform — the «Market Breathing» tools, to study the behavior and the swings of the best and worst opportunities
- EA Publisher — to update the data of your research and production accounts automatically
- Videos and Articles with quantitative analyses — to optimize your strategies for working with prop trading firms
- Knowledge Base and documentation, constantly updated
- 250 credits every month, included in the subscription
- Extra credit packs for active subscribers, whenever you need more computing
- Search for new optimizations with AI — up to 300 trials per search; it returns the best 5, and you have 14 days to choose
- Credits are consumed by computing, not by access: browsing the Strategy DB and reading the analyses costs nothing
- You optimize the strategies you already built with StrategyQuant X, on variables today and on complex algorithms when Nature Law AI Quant 1.0 arrives
- You measure them on real accounts, research and production, and you track the results over time
- You trade within the limits of prop trading firms — drawdown, profit targets, number of trades
- You keep your edge over time: the Strategy DB and the engines improve every week
Subscription
You get access to every feature of the platform and a credit pack every month, to use Realistic Engine AI 3.0 and — soon — Nature Law AI Quant 1.0.
- $99 per month
- $900 per year — two months free
- 250 credits every month, included
Extra credits
Only for active subscribers: computing power on top of your monthly credits.
- 500 credits for $250
- Top up from your account, at any time
- Credits pay for computing only — never for access
Available once your subscription is active.
Start here
Free eBooks and subscription
Study with the free material, try the engine without signing up, then subscribe.
Free eBooks
Direct, data-driven training material, to download and share.
- The Trader’s Mind — psychology and discipline
- Trend Following in 2026 — the complete book
- More mini guides coming soon
The platform
One subscription, everything included, plus credits for the computing.
- Strategy DB, Research and Production Accounts
- Realistic Engine AI Editor 3.0, available now
- Nature Law AI Quant Editor 1.0, in preparation
New to this world?
This platform assumes you already build your own strategies with StrategyQuant X. If you are starting out, consider joining our trading community Trend Following Traders: there you train and learn, so that we speak the same language — the method, the vocabulary and the way we measure — and can work together.
The community itself runs in Italian; the English version will be ready from January 2027.
The purpose of the project
All the subscriptions and proceeds are collected to fund research activities and improve the engines, with the goal of improving the trading of everyone who takes part. This has been the purpose of the project since the lab was born in 2014.
The project is designed to work in a way similar to a hedge fund: research and production run side by side, and the results — what works and what does not — go back into the Strategy DB and into the engines, for every subscriber, not just for the fund.
The blog
Explore the topics
Research notes, engine releases and quantitative analysis — published as the work goes on.
Ready to start?
Put your StrategyQuant strategies to work
Optimize them, measure them, and keep them competitive over time — with engines built by a lab that trades its own research.