Strategies
Strategies built on signal,
not guesswork.
Momentum and machine learning research describe how conditions are shifting in listed markets and DeFi. Derivatives decide what can be held within fixed risk limits. All of it runs as code. If risk allows, that forecast becomes a position in research or proprietary trading.
How it works
Prediction disciplines,
one risk framework.
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01
Momentum Engine
The engine takes two kinds of input. One is listed market data: prices, volumes and volatility across equities, indices, futures and digital assets. The other is DeFi flow, such as movements between wallets and venues. The output is a score for strength and direction, not a buy order. Every model has a version. Each version carries the backtest that produced it, plus the assumptions and the date range.
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02
Derivatives Desk
A score only becomes a position once it passes the risk framework. Position limits, concentration caps and drawdown stops are enforced programmatically, so a breach closes exposure whether or not anyone is watching. The desk is built to define the downside of a position before it is opened; it is not built to predict the upside. Our SPY and QQQ options notes show how that thinking evolved from 0DTE bull put spreads into longer dated credit and iron condors.
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03
Multi-strategy approach
Momentum, machine learning forecasts, and derivatives respond to different conditions, so combining them reduces reliance on any single model being right. That is how the technology is built, and how we allocate in proprietary research and trading. It does not remove market risk, and no combination is offered as a guaranteed or fixed outcome.
Where verification fits
Eligible holdings can be wrapped as a token on a public chain, so someone else can check them without asking us.