Positions that are literally arguments about facts.
The purest test of thesis-based trading. You’re not buying an asset; you’re taking a side on a question. Every new poll, ruling, or data release either supports your side or contradicts it.
A position that is a thesis.
There is no cleaner version of “maintain a thesis, watch for contradicting evidence, act when it breaks” anywhere in finance.
Taking a side on a question
An election outcome, a court ruling, an economic threshold: a prediction-market position is an argument about a fact. Every new poll, ruling, or data release either supports your side or contradicts it, which is exactly the evidence stream the monitoring loop was built to consume.
Designed for this before it existed at scale
The core loop, a written argument with named falsifiers under continuous evidence monitoring, maps one-to-one onto how prediction-market prices actually move. That is why we say the system was practically designed for this market before the market existed at scale.
Crypto’s temperament, regulated rails
Continuous trading, retail-driven, information-flow dominated: culturally familiar territory. CFTC-regulated platforms expose public APIs and welcome automated trading without special-tier gatekeeping.
How a position lives and dies here
A worked scenario: a mispriced probability, a supportive vote, and a falsifier that fires in public.
Thesis created, falsifiers named. The system evaluates a policy-outcome market. Its research reads the probability as underpriced versus the evidence. The thesis: outcome YES underpriced, invalidated by an adverse committee vote or a key sponsor withdrawing.
Week 3
The ratchet locks progress. A supportive procedural vote lands; the probability rises; the ratchet locks part of the gain.
The named falsifier fires. A key sponsor publicly withdraws. The system doesn’t debate the news cycle; the thesis carried its own death condition, and it just occurred. The position is closed while the market is still digesting.
What changes for prediction markets. What never does.
Four stages take new inputs; signal analysis swaps charts for probability data. The governance around all of them is untouched.
Event evidence in
Event-specific news, polls, rulings, and data releases become the research spine for each open question.
Resolution-risk gate
Event-resolution risk replaces the market-regime check: as an event approaches resolution, position risk changes non-linearly, and the gate accounts for time-to-resolution explicitly.
Probability data in place of charts
There are no candlesticks. Chart analysis is replaced by probability time-series analysis and event-news evaluation: a straightforward swap of inputs, with the same written-thesis and named-falsifier output on the other side.
Probability vs. fair value
The entry evaluator weighs the market’s probability against its perceived fair value, with the same written-thesis and named-falsifier output.
Same gates, same vigilance
Position-limit enforcement and continuous evidence monitoring port naturally: the thesis lifecycle and one-way ratchet are identical.
Uncertainty means inaction
Uncertain, stale, timed-out, contradictory, or incomplete means block or de-risk. The failure mode is inaction, never a bad trade.
New signal inputs. Everything else ports.
The signal-analysis stage takes the largest input change of any segment: probability time-series and event news in place of charts. Its role in the pipeline is unchanged.
Data spine
Platform REST and WebSocket APIs; continuous probability-price feeds and event metadata.
Signal inputs
There are no candlesticks. The signal-analysis stage reads probability time-series and event news instead of charts. It is the largest input adaptation of any segment, with the same fail-closed gate semantics.
Structural veto
Event-resolution risk assessment. As an event approaches resolution, position risk changes non-linearly; the gate accounts for time-to-resolution explicitly.
What ports naturally
Event-focused research, probability-vs-fair-value entry evaluation, position-limit enforcement, and continuous evidence monitoring carry over with the same semantics.
Invalidation fit
Falsifiers here are discrete public events: the sharpest trigger format the contradiction detector consumes.
Regulatory posture
CFTC-regulated platforms expose public APIs and welcome automated trading, so the governance layer deploys on regulated rails from day one.
Arriving before the bad habits do.
Prediction-market tooling today is bankroll spreadsheets and manual news-watching. Nobody offers governed, thesis-lifecycle automation with auditable one-way risk protection on regulated event markets.
The segment is young enough that the governance layer can arrive before the bad habits do.
Expansion segment. Direct application.
Prediction markets are an expansion segment. The thesis-lifecycle and fail-closed governance architecture applies directly, and the event-invalidation mechanism maps one-to-one onto market structure. Prediction-market-specific coverage can be added in future filings. Patents filed. Public pages stay high-level; detailed architecture remains available only under NDA for qualified partners.
Detailed architecture available under NDA.
Public pages explain the market fit. Deep system detail stays protected for qualified partners. Start the prediction-markets conversation.