Verdict Labs is an independent lab. We build real tools: AI decision systems, trading infrastructure, market-forecasting engines, and whatever's next. Every one ships with full source code and real logged results, not marketing decks. You see exactly what you're building on before you trust it with anything. No black boxes, no backtests dressed up as promises.
Verdict Labs ships focused tools, not a bloated suite. New sections get added as they're built and proven, not promised in advance. Every product ships with the source code, the documentation we'd want as a buyer, and no performance theater.
Adversarial AI personas argue a choice out from every angle, then a Chair delivers a falsifiable verdict.
Ten independent AI personas argue your decision from every angle, challenge each other by name, and a synthesizing Chair delivers a clear verdict with falsifiable success criteria.
Ten AI personas audit your portfolio for concentration, hidden correlation, and tail risk you can't see from the inside. A Chair delivers the risk briefing: process audit, never a stock pick.
Real, runnable code for markets: the plumbing done right, honest results instead of strategy promises.
A production-grade automated trading framework built for Kalshi US users, trading 15-minute crypto up/down markets (BTC, ETH, SOL, XRP). Real-time scanning, signed API execution, and built-in risk controls, so you start at the strategy instead of the plumbing.
A real weather-forecasting engine built specifically for Polymarket US's daily-temperature markets. Blends multiple forecast models into honest probabilities, verifies exactly how each market settles, and scores itself against real outcomes as they resolve. Zero API keys, zero signup.
Every serious trading-bot project spends its first month on the same unglamorous plumbing. This framework skips that month for you.
Continuously scans Kalshi's 15-minute crypto up/down markets and flags fresh setups before they're fully priced, so you're never trading a market that already decided.
A clean, documented architecture for building and swapping in your own trading signals, with a fully worked reference implementation to learn the pattern from.
Symmetric-odds filtering, position sizing, and a paper-trading safety net by default. Live trading requires an explicit flag and a confirmation. Never accidental.
Every line is yours to read, extend, and audit, including the authentication layer most people spend a weekend fighting with.
Point the framework at Kalshi's public market data. No account needed to start in paper mode.
The scanner finds active markets and flags the fresh ones your strategy should actually look at.
Run in paper mode against live prices, or opt into live execution once you've built a strategy you trust.
Every session logs to CSV automatically: entry, confidence, outcome, P&L, so you can iterate on real data.
Kyle (High-Conviction Strategist): You're fixating on the headline reset story because it feels exciting, exactly the overconfidence bias that makes people ignore how stability at one employer with a hinted promotion beats betting on unquantified network magic. The Chair: Get your partner's realistic job leads, salary ranges, and timeline in the new city this week, then run exact side-by-side monthly after-tax cash-flow projections for both paths. That one data set decides everything else.
Every MomentumForge purchase includes the actual historical logs from the reference strategy: unedited, timestamped, included in the package. You see exactly what you're building on before you extend it.
That's the standard every product in this catalog is held to: the AI council above is a real, unedited session transcript, and RiskCouncil's own audit sessions are held to the same bar. The trading framework ships with real, unedited trade logs. StormEdge runs against real, live Polymarket US data, without creating a single account, and it's honest about the one thing it can't do instantly: Polymarket US has no historical archive to replay, so its calibration score has to be earned in real time, not faked. No cherry-picking, no staged demos.
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