Market Hunter
Scans the active US universe for anomalies, momentum, gaps and moves that deserve investigation.
Zero tokensSolTrade · Measurable intelligence · Paper validation
Every decision measured.
Every layer accountable.
SolTrade is an automated algorithmic trading platform, built to be auditable. It connects to broker APIs — currently Alpaca Paper — and separates market intelligence, AI reasoning, deterministic risk and execution. Decision Tape records what each layer decided, how old the signal was, execution quality and what happened afterwards. The current beta runs exclusively in Paper Trading while measurable edge is validated.
It does more than emit signals. Fast Execution Rail keeps reusable research off the critical path; Shadow Outcomes track rejected opportunities; Probability Calibration tests whether model confidence deserves trust; and Alpha Lab attributes gains and losses to selection, entry, execution and exit.
Alpaca API · todayAutomated executionUS EquitiesPaper TradingDeterministic risk
SolTradePortfolio brain
Market hunterOpportunities detected
Entry + criticTrade validated
Risk + harvestProtection & profit capture
Discover · understand · select · validate · execute · protect · harvest · learn · discover · understand · select · validate · execute · protect · harvest · learn ·
From market to portfolio
Automate the full cycle,
not just the signal.
During Paper validation, SolTrade automatically runs the full decision loop: discover, analyse, select, validate, execute in Alpaca Paper, protect and learn. The goal is to reduce impulsive decisions and turn every simulated trade into measurable evidence.
Traditional bot
Signal → order
Indicator
Static rule
BUY / SELL
Wait for result
VS
Soltrade ai
Algorithmic portfolio loop
01Hunter discovers anomalies
02Catalyst explains the move
03Portfolio Brain compares opportunities
04Entry Discipline + Critic challenge
05Risk Engine sizes and executes
06Harvest + Recovery manage
07Alpha Lab measures and learns
One bot. Nine specialized layers.
Complexity stays inside.
Users get explainable decisions.
SolTrade combines AI with deterministic software. AI interprets context and compares scenarios; hard rules control what should never depend on an opinion: exposure, timing, spreads, duplicates, time contracts and protection.
Catalyst Engine
Links moves to fresh news and catalysts to distinguish contextual activity from noise.
Market contextPortfolio Brain + Scout
Compares candidates with the live portfolio and available cash, selecting multiple parallel opportunities when risk allows.
Core reasoningEntry Discipline
Blocks extreme chasing, unacceptable spreads, stale data and entries outside defined execution windows.
Pre-trade guardAI Critic
Opposes the thesis and searches for contradictions, weak reward/risk or portfolio conflict before capital is exposed.
Adversarial reviewRisk Engine
Calculates sizing, exposure and limits in deterministic code. The model proposes; Risk Engine decides how much risk is allowed.
Deterministic riskHarvest Engine
Tracks MFE/MAE, protects favourable moves, can realize partial profits and applies giveback rules so winners are not simply returned to the market.
Profit managementRecovery Guardian
Reconciles positions, orders and fills against the broker and rebuilds protection if a Worker or execution is interrupted.
Broker source of truthAlpha Lab + Memory
Compares executed and rejected decisions at 1h, 4h, 1d, 3d and 5d. Measures Selection Alpha, edge, mistakes, MFE/MAE and opportunity capture.
Evidence loopScout + Critic
Every trade has an opponent.
A second reasoning pass is not there to agree. Its job is to find the reason the first thesis should not survive.
AI Scout
BUY RKLB
Confidence 82%
Fresh catalystMomentum confirmationPortfolio fit
VS
AI Critic
Approve
Review confidence 87%
No material disqualifierLiquidity acceptableRisk/reward survives review
AI decides. Code controls.
Risk is not a prompt.
SolTrade can propose a trade, but the final exposure is calculated outside the model. This separation is fundamental to the architecture.
$1,742Final position size · example
Model proposal$5,000
Equity & risk budgetChecked
Stop distanceApplied
Portfolio exposureControlled
Batch riskWithin limit
What traders actually need
Not another signal.
Evidence.
The hard questions come after the signal: Is the edge real? Is the Critic helping? Are we missing better trades? Is execution degrading? SolTrade turns those questions into measurable telemetry.
68/ 100
Illustrative product demoEdge health
Is the strategy improving — or quietly decaying?
Compare long-run expectancy with recent trades, profit factor and execution quality. A losing week is not automatically edge decay; the evidence has to move outside its expected range.
Long expectancy+0.62%Recent+0.48%StatusStable
Decision Tape + Alpha Memory
The system cannot improve what it cannot measure.
Alpha Memory records executed, blocked and rejected decisions and evaluates what happened afterwards at 1h, 4h, 1d, 3d and 5d, including MFE/MAE. The goal is to discover where the evidence says SolTrade actually has an advantage.
DecisionScout / Critic / Risk
Outcome1h · 4h · 1d · 3d · 5d
PatternSignal class + regime
EvidenceExpectancy · MFE · MAE
Better decisionCalibrated confidence
The 1-hour to 5-day horizons track research signals, not permitted holding periods. Paper execution is intraday: new buys stop in the final 20 minutes and position closing starts 15 minutes before the broker closes. A pending order does not confirm a sale. Pause, emergency stop or failures may prevent completion.
Private beta
Help prove whether algorithmic trading can earn its edge.
SolTrade is currently in controlled validation. Join Early Access to follow development and be considered for the first external beta cohorts.
No promise of profit. The current beta uses Paper Trading only; future live automated trading, if offered, will be subject to separate broker, eligibility and compliance requirements.