01 · autonomous
Runs itself
Market scanning, signal generation, order submission, position management, and exits — all handled end-to-end. You set the intent; it does the work.
Autonomous equity trading · self-learning
The machine trades.
The machine trades.
You watch it learn.
Priorsum scans the market, decides on its own, manages every position, and gets a little better after each outcome — then tells you exactly what it did and why, in plain language.
You supervise a system that runs itself — trading a paper account, learning in the open.
What it is
One decision loop, running the whole day, on its own.
Configure a strategy once. From the opening bell, Priorsum handles the rest — no dashboards to babysit, no signals to place by hand.
02 · adaptive
Learns from outcomes
Every closed trade feeds back into the system. Signals that helped get more weight; strategies that stop working get picked less. It tunes toward what's actually working now.
03 · transparent
Explains every move
A live feed of every decision as it happens, and a plain-English reason for each one — including why it didn't trade. Nothing is a black box.
How it learns
Two feedback loops, running in parallel.
The system improves on two clocks at once — a fast reflex after every trade, and a slower, more deliberate shift once there's enough evidence to trust it.
● fast loop
After each closed trade
The moment a trade closes, the signals that contributed to the win — or the loss — are nudged up or down. Small, immediate, self-correcting.
trade closes→
score signals→
nudge weights
● slow loop
After a meaningful batch
Once a statistically significant run of trades is in, strategy parameters mutate toward the configurations that actually performed better — never on a single lucky trade.
enough trades→
evaluate→
mutate params
You can follow along
Built to be watched, not just trusted.
You're a supervisor and a spectator of a system that runs on its own. So the dashboard's whole job is to let you follow the story and form appropriate trust.
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✓
Every decision, as it happens
A rolling feed of what it looked at, what it decided, and the confidence behind it — in real time.
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✓
Every adaptation, explained
When a weight moves or a parameter mutates, it says so in plain language — and why.
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✓
Told when it matters
Calm by default. It gets loud only for things actually worth your attention.
Correctness first
Modeled like it's real money — because someday it might be.
Priorsum trades an in-house paper account today, funded with simulated cash. But every order path models real-market mechanics end-to-end, and the safety rails are hard limits the learning loops can never touch.
Paper, funded, and honest
Each account starts with simulated cash and fills against live market data — real mechanics, no real capital at risk.
Hard risk floors
Position size, total exposure, daily loss limits, and stop-losses are enforced at decision time. Nothing the system learns can widen them.
Learning stays in its lane
The feedback loops tune signals and strategy — they can never change risk limits, place an unreviewed order, or reach the stop ladder.
Safe by construction
Protective exits run independently of the decision engine, so the safety net keeps working even when everything else is paused.
Watch & enjoy
Come watch it trade.
Sign in with Google to open your dashboard and follow the system decision by decision.