Free while in Beta. Freemium model eventually. Build-in-public always. Open to everyone, no card, no waitlist.

Robust first · AGENTIC WORKFLOWS · RESEARCH to LIVE

Strategies That Survive in the Real World.

The S2N Navigator is built to discover and test trading strategies that perform as expected in real-world conditions, not just as backtests. A robust first research factory, open 24/7 operating at scale in the open with agents doing the heavy lifting. Includes your own private workspace to test and run your own strategies.

✓ Free, no card ✓ Instant access, no waitlist ✓ Your research is your IP, never shared
AI agents Neo discovers Wizard tests Jim enhances Ray portfolios Oracle answers everything

The Lab

A transparent quantitative laboratory where strategies are created, tested to death, only the strongest survive, and the S2N Score and Navigator framework help identify those likely to thrive.

1,400 / 9,800 / 41,000
backtests today / 7d / 30d
24
live now
Neo'sLibrarythe entire internet500StrategyCatalogueto be tested120StrategyTestedstrategies tested41,000Backtestedbacktest runs60Promotedapproved strategy30Livestartedforward tested24Live nowstill runningcurated24%≈340 each0.15%50%80%

The problem

Most backtests are beautiful lies.

The industry is full of incredible-looking backtests: perfect equity curves, amazing ratios, huge historical returns. Most of them fail when they meet the real world, because the objective became creating a great backtest instead of a robust strategy.

Most failures come from the same predictable mistakes:

  • × Hindsight bias
  • × Survivorship bias
  • × Cherry-picking markets and periods
  • × Excessive parameter optimisation
  • × Curve fitting
  • × Ignoring market regimes

A strategy that only worked because the researcher found the perfect settings for yesterday’s market is not a strategy. It is a historical accident.

%Yrsout-of-sampleBACKTEST LIELIVE REALITY
Typical flawless in backtest, falls apart the moment it goes live.

The philosophy

Don’t optimise the answer.
Improve the research process.

The objective is not to find the best backtest. It is to discover strategies with the highest probability of surviving real markets, strategies that hold up across long history, multiple economic environments, volatility regimes, bull & bear markets, crises, and sideways stretches.

Long history
Bull markets
Bear markets
Crises
Sideways
Regime shifts

The S2N Lab: a strategy research factory

We built a bias-free trading research process, with an AI agent boosting each stage.

Think of it like a drug pipeline: discovery, trials, validation, monitoring, deployment. An idea only survives if the evidence says it deserves to. You watch the whole factory run with minimal input.

Discovery Trials Verdict Deep research Validation Monitoring Portfolio
1 Discovery

Neo finds ideas worth testing

Neo, the discovery agent, continuously scans academic research, newsletters, code bases, and internet sources. Its job is not to find a perfect strategy. It is to bring intelligent ideas into the Lab where they can be tested.

Neo Discovery feed
scanning
Cross-sectional momentum, commodities
Academic paper PDF
Converting
Vol-carry term structure
Working paper prose
Queued
Overnight drift, index futures
Market anomaly Pine
In catalogue
Seasonality in energy spreads
Research note .py
Queued
Trend + breakout regime filter
Systematic forum MQL
In catalogue
12 new ideas today queued to the Strategy Catalogue →
2 Trials

The Wizard builds backtests, without curve-fitting

Most engines ask which settings produced the highest return. The Wizards Skill is to build hundreds of baseline experiments across parameters, markets, assets, and time periods, while deliberately avoiding hunting for the perfect parameter combination, favouring a bias-free broad test surface.

The Wizard mapping a strategy across all meaningful combinations of parameters
The Wizard mapping a strategy across all meaningful combinations of parameters
3 Verdict

Every experiment earns a verdict

Kill= no meaningful edge, it leaves the pipeline. Iterate= something interesting, more research needed. Promote= worth deeper investigation, it advances. The goal is not to search forever. It is disciplined realistic research.

Verdicts across a cohort: Kill, Iterate, Promote
Verdicts across a cohort: Kill, Iterate, Promote
4 Deep research

Agent Jim, the AI quant researcher

Once a strategy shows promise, Jim takes over, with specialised knowledge for each strategy family: momentum, mean reversion, trend, allocation, volatility. Jim runs research rounds, J1 through J4, testing, improving, killing, or promoting at each stage. Improvement without curve-fitting is the goal.

Jim's J1–J4 research rounds on a strategy family
Jim's J1–J4 research rounds on a strategy family
5 Validation

Only the best validated version survives

After the research process, the best strategies for each strategy family reach the Leaderboard. Quality over quantity.

The Leaderboard: one validated version per strategy family
The Leaderboard: one validated version per strategy family
6 Monitoring

The final test: does it behave live?

A backtest is only the beginning. Every promoted strategy moves into virtual live trading, where S2N watches whether it keeps behaving to its historical statistical profile. Are returns within expectation? Has volatility or drawdown changed? Is the edge decaying?

Virtual live tracking against the historical profile
Virtual live tracking against the historical profile
7 Portfolio

Agent Ray builds optimal portfolios, from strategies

The real power comes from combining independent uncorrelated return streams. Ray, the portfolio architect, finds strategies that work together. A single strategy can be good. A portfolio can be better. Where 1 + 1 = 3.

Ray combining uncorrelated strategies into an optimal portfolio
Ray combining uncorrelated strategies into an optimal portfolio

Your research is your IP

The Lab is shared. Your work is yours alone.

The factory produces a community Lab everyone can learn from. Your own research is completely private: never shared, never folded into the Lab, never seen by another user.

Shared with every member

The Lab: S2N’s community research

We curate a Lab of robust, rigorous strategy research and give it to the community. Every logged-in member sees it in full. This is the value S2N puts on the table, not a dumping ground of cherry-picked backtests. The rigour is the point.

Private to you

Your workspace: your own research

Build and run your own backtests. They land on your own personalised leaderboard: S2N’s research and your runs, ranked together, seen only by you. A strong idea of yours can outrank my best, on your board. Nobody else ever sees your work.

The one tool in your hands

Build, run, and rank your own backtests.

Pick a strategy, symbols, dates, and sizing, run it on the curated S2N data universe, then read the full report. Your run lands on your private leaderboard, ranked right next to S2N’s research.

  • Real backtests on real, curated data, with the full report
  • Ranked on your own board against S2N’s robust research
  • Private to you, your IP, never shared
  • Individual backtests, with a fair-use daily allowance

The automated multi-strategy sweeps stay founder-only for now. You build single backtests; you watch the agents run the big machinery.

Your leaderboardprivate to you
#1Your Breakout v3 YOU
#2Trend Basket S2N
#3Carry & Roll S2N
#4Your Mean Reversion YOU
S2N’s research and your runs, ranked together. Seen only by you.

The complete picture

From research to your own broker.

The whole point is an unbroken line: discover a robust strategy, test your own ideas against it, watch it trade, combine it into a portfolio, and when you’re ready, run it on your own broker. One ecosystem, end to end.

01

Explore

Browse S2N’s validated research in the Lab.

02

Test

Run your own backtests on your private board.

03

Watch

See strategies forward-test on live prices.

04

Combine

Build a portfolio with Ray.

05 rolling out

Go live

Connect your own broker and trade it.

Research, testing, and watching are live today. Connecting your own broker to go live is rolling out through the beta, and we’ll tell you the moment your part is ready.

Inside the platform

Real market intelligence, and reports that go deep.

Beyond the research factory: a real-time Market Monitor across your whole watchlist, a Research gallery of hundreds of curated charts refreshed daily, and a report on every backtest that goes far past a single equity curve. This is the depth, in colour.

Market Monitor & Research

Market Monitor: your whole watchlist rebased to compare at a glance, updating live
Market Monitor: your whole watchlist rebased to compare at a glance, updating live
Z-score market map: what’s stretched and what’s calm, in real time
Z-score market map: what’s stretched and what’s calm, in real time
Clean price charts for every symbol, 1M out to max history
Clean price charts for every symbol, 1M out to max history
Research: hundreds of curated market charts, refreshed daily
Research: hundreds of curated market charts, refreshed daily

Reports that go deep

Every backtest gets the same treatment: performance, robustness, the S2N Score, return distributions, rolling Sharpe and leverage, and a market-by-market breakdown across decades.

The full backtest report: equity curve and every headline metric
The full backtest report: equity curve and every headline metric
The S2N Score: performance, robustness, breadth, and the overfitting guard
The S2N Score: performance, robustness, breadth, and the overfitting guard
Monthly performance, every month since inception
Monthly performance, every month since inception
Decades of monthly P&L, wins and losses laid bare
Decades of monthly P&L, wins and losses laid bare
Return distributions: the shape of the edge, fat tails and all
Return distributions: the shape of the edge, fat tails and all
Rolling Sharpe across the entire history, not a single number
Rolling Sharpe across the entire history, not a single number
Risk you can see: leverage held well under the cap
Risk you can see: leverage held well under the cap
Cumulative return per market across the full universe
Cumulative return per market across the full universe
Annualised volatility across dozens of markets at once
Annualised volatility across dozens of markets at once

Open beta

Trading doesn’t need more beautiful backtests. It needs better research.

Free account, instant access, no card. Build your own backtests on a private board, and watch the research factory run in the open.