Independent traders
You already have a strategy. The question is whether it's real — and what would make it better. That's the whole job here.
What's actually behind the buttons
The archive behind every fill, settle and verdict.
Back through 2020 and 2022 — regimes a calm-year backtest never meets.
FX majors and crosses, indices, metals, oil, crypto.
One of the published studies — this one came back negative.
Idea to verdict to live — one shape the whole way
Every strategy on the platform travels the same road, and the shape never changes between stations: what you backtest is what papers and what exports.
One pipeline, one strategy shape end to end. What you backtest is byte-for-byte what papers and what exports — there is no re-implementation step where drift can hide.
Why you trade your own account
Build it, backtest it, paper it. No card.
Honest out-of-sample grading, including when it says your idea doesn't work.
Strategies you build or import stay yours.
Paper by default. Live only if you arm it, on your own broker.
Describe it. Test it. Know.
You should not need to code, and you should not need to take anyone's word — including ours. The wizard exists so the whole loop, idea to verdict, is yours to run.
Describe the setup the way you'd tell a colleague. The AI turns it into executable rules and — this is the part that matters — tells you what it ASSUMED and what it COULD NOT express, instead of quietly approximating. A strategy silently rounded to something else is the worst thing a builder can hand you.
Pine Script, MQL, Python — pasted in, translated, and shown back to you for approval before anything counts. Export goes the other way too: Pine, MQL5, Python and LEAN, and the export refuses rather than shipping a file that silently behaves differently. More
Screenshot a setup and the reader turns it into English you can correct — deliberately not straight into a strategy, because a chart shows what happened, never what the rule was. You confirm the rule; then it builds.
Sessions, trend regime, news windows, multi-timeframe confluence, seasonality, relative strength, fair-value gaps, liquidity sweeps, level flips, ranges, freshness, VWAP, currency strength, the dollar index, price channels. Each card carries what our own research found about it — including when the finding was 'no edge'.
Every backtest is graded on a held-out, recent stretch of history the strategy never saw. 'Profitable' is only said when the out-of-sample evidence supports it, and a promising strategy carries the number of forward trades its edge still needs — counted down, not implied. More
Long runs show a live progress bar driven by bars the engine has actually simulated — not a timer animating toward a guess. Small thing. Same principle as everything else here.
The journal shows each trade on real candles with the exact conditions that fired it — entry, stop, target, and the predicate values at the signal bar. "Why did it take this?" has a literal answer.
Trade the past bar by bar, by hand, filled at the backtester's own cost rules. The future is not hidden in your browser — it is never sent, so there is nothing to peek at. Every hand decision is then graded by the same grader that scores strategies, and rule inference will tell you what you were actually trading and whether it survives a decade.
Crypto does not pay EUR/USD's spread here. Per-instrument cost profiles are floors — they can make a result worse, never better — and every run reports exactly what it charged. An invisible cost model is indistinguishable from a flattering one.
Position sizing plus a Monte-Carlo risk-of-ruin read over your strategy's real trade distribution — what a losing streak actually looks like at your risk per trade, before a live losing streak teaches you.
Deploy a strategy and pull live signals through a small client that holds only the strategy's ID — the rules never leave the platform, and entitlement is re-checked on every call.
Every run's trades are recorded as a labelled, exportable dataset — market, side, timing, outcome, strategy fingerprint. Twenty iterations become training data instead of twenty screenshots.
The two rules that keep every number honest
Anyone can show you a curve that goes up. These are the mechanics that decide whether a result here is evidence — drawn, because they are the part most platforms keep vague.
A strategy is judged on a recent stretch of history it was never shown. An in-sample curve — the number most backtesters lead with — is a rehearsal, and the platform labels it as one. The engine also re-proves on every run that no rule could see past the wall.
Most backtesters silently assume the answer that makes the result look better. This platform measures it on minute data — and when the evidence isn't there, it charges you the stop. Your paper trades and your backtests are settled by the same rule.
The full grading discipline — walk-forward, significance, Monte-Carlo over the real trade distribution — is on the methodology page. The grading rule itself is not published; the boundary is stated, not blurred.
Train our learning system on your strategies
This is the part nobody else offers you: the learning system that runs our own research desk, trainable on your strategies. Not a copy-trading feed. Not someone else's signals. Your rules, worked and improved while you sleep — with every decision left to you.
The same learning system that runs our own research desk, pointed at your strategies. You choose which folders it may learn from. Improved copies must beat the original on forward paper trades before promotion is even offered — and a promotion that stops holding up is demoted back to testing by the evidence, never quietly kept.
One click sends any strategy you've built or imported to the desk. From that moment it is worked like one of ours: backtested across condition lenses, stress-checked, and paper-traded around the clock.
Most strategies aren't good or bad — they're good somewhere. The Conscious sweeps your rules across sessions, trend regimes, volatility states, currency-strength and dollar-index conditions, and price structure, and reports the edge per condition instead of one averaged-away number. More
When a filter combination genuinely improves your strategy out-of-sample, the improved copy is deployed to paper as a challenger — your original untouched. It must beat the original on real forward trades before promotion is even offered.
Every promotion is your click. And a promotion is not forever: the evidence is re-read continuously, and a strategy whose post-promotion record stops holding up is demoted back to testing — never quietly kept, never deleted. Retiring a strategy is a decision only you can make.
Losing trades are read as evidence. The reconciliation loop finds what they had in common, proposes a change to the rule, and proves the change against the same grading as a new strategy — then asks you. More
The orchestrator turns every module's opinion into a single decision with the evidence attached — and it is limited, server-side, to edges that have actually proved out. It advises. It cannot arm anything. More
Brain scope is per folder: point the Conscious at the strategies you want worked and exclude the rest. Your data trains your workspace's understanding — it isn't pooled into someone else's.
The desk's paper book renders inside the platform — open positions, closed trades, the equity line — so 'is it actually trading my strategy?' has a visible answer, not a support ticket.
Practice on the past — without the past leaking
Every serious platform has bar replay. Ours is the only one where the future physically cannot be peeked at, and where your hand-trading is graded by the same engine that grades strategies.
Practice on real history bar by bar, place trades by hand, and get filled by the same cost rules as the backtester. Client-side replays ship every future bar to your browser and merely hide them; here the cursor lives on the server, so honesty is structural. Every hand-placed decision is then graded by the same grader that scores every strategy — and the platform will tell you, in plain terms, when your sample is still too small to mean anything.
Built for how an independent trader actually works
You have ideas, a broker, and limited time. The platform's job is to compress the distance between 'I think this works' and knowing.
The free tier runs the same backtester, the same grading, the same honesty as the paid tiers — not a demo with the sharp edges filed off. No card.
The Replay Trainer grades your hand-trading the way the engine grades strategies, and tells you when your sample is too small to conclude anything. Most tools let you convince yourself; this one makes that harder.
Build it or import it — we don't trade it, publish it, or feed it to other users. Export it whenever you want; it leaves in a form that runs.
Paper by default, on your own broker when you choose. Nothing on this platform — not the brain, not us — can arm live trading for you.
No card required. Live trading is off by default and armed only by you.
We publish what didn't work, too
Credibility is not a claim; it's a track record of saying no. These findings ship inside the product, next to the filters they inform.
≈ 0R over 87,000 sweeps across a decade. Unselected, the famous setup pays nothing.
Flat across 530,000 samples. We do not gate or size by volume anywhere — and we say so.
No edge over 1,401 graded trades on a decade of data.
A real out-of-sample edge, consistent across every yearly window we held out — fragile to tight stops, which the platform tells you rather than hiding.
Materially better than holding, measured across 286,000 fade situations.
These are our own studies, run on our own archive, and the negative results ship inside the product next to the positive ones. A platform that only ever finds edges is selling you something. Most ideas don't work; the value is knowing which — before money does the experiment for you.
Independent traders — asked and answered
Do I need to know how to code?
No. Describe your strategy in plain English, draw it on the canvas, or upload a chart screenshot and correct the description it produces. If you do code, you can paste Pine Script, MQL or Python instead — and export the same way.
What makes the backtest honest?
Every verdict is graded on a held-out, recent stretch of history the strategy never trained on. Fills are pessimistic: when a bar contains both your stop and your target, the engine measures the order on minute data, and books the loss where the data is missing. Costs are per instrument and can only make results worse, never better.
What is the Conscious, in one paragraph?
It is the learning system that runs our own research desk, and you can point it at your strategies. It finds which market conditions carry your edge, builds improved copies, proves them on forward paper trades, and offers them to you. You promote or retire; it never touches live money and never deletes your work.
Will it tell me my strategy is bad?
Yes — and that is the product. The out-of-sample test rejects most ideas, and our own published research includes the failures: fading every liquidity sweep graded ≈0R over 87,000 samples; volume gating was flat over 530,000. Knowing early is the cheapest that lesson will ever be.
Can it trade live for me?
Deployment is paper-first, on your own MT5 or by webhook. Live trading exists, is off by default, and is armed only by you. We are a research and tooling company — we do not manage money and nothing here is investment advice.
Bring a strategy you already trade.
Build it in plain English, get an honest verdict, and let the Conscious go to work on it.
No card required · sales is for desks and teams