AUTOMATED TRADING · US MARKETS · ALPACA PAPER

SolTrade thinks.
Your broker executes.

SolTrade is an automated algorithmic trading platform for the US market. It connects to broker APIs — currently Alpaca Paper — to scan US stocks and ETFs, detect anomalies and catalysts, select opportunities, execute qualifying trades automatically, size risk, protect profits and recover from execution failures. The current beta runs exclusively in Paper Trading while we validate the methodology and measurable edge.

It does more than emit signals. Every decision crosses multiple intelligence and deterministic-control layers, while Alpha Lab measures what happened afterwards to test whether the system is actually finding and capturing edge.

Alpaca API · todayAutomated executionUS EquitiesPaper TradingDeterministic risk
SOLPORTFOLIO 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
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.

01 / DISCOVER

Market Hunter

Scans the active US universe for anomalies, momentum, gaps and moves that deserve investigation.

ZERO TOKENS
02 / CONTEXT

Catalyst Engine

Links moves to fresh news and catalysts to distinguish contextual activity from noise.

MARKET CONTEXT
03 / SELECT

Portfolio Brain + Scout

Compares candidates with the live portfolio and available cash, selecting multiple parallel opportunities when risk allows.

CORE REASONING
04 / DISCIPLINE

Entry Discipline

Blocks extreme chasing, unacceptable spreads, stale data and entries outside defined execution windows.

PRE-TRADE GUARD
05 / CHALLENGE

AI Critic

Opposes the thesis and searches for contradictions, weak reward/risk or portfolio conflict before capital is exposed.

ADVERSARIAL REVIEW
06 / SIZE

Risk Engine

Calculates sizing, exposure and limits in deterministic code. The model proposes; Risk Engine decides how much risk is allowed.

DETERMINISTIC RISK
07 / HARVEST

Harvest 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 MANAGEMENT
08 / RECOVER

Recovery Guardian

Reconciles positions, orders and fills against the broker and rebuilds protection if a Worker or execution is interrupted.

BROKER SOURCE OF TRUTH
09 / LEARN

Alpha 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 LOOP
Scout + 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 DEMO
EDGE 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
Alpha Memory

Every decision becomes evidence.

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
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.

By using this beta site you acknowledge the Terms of Use.