Research
We mine market and alternative data for statistically robust signals, and stress-test every hypothesis before it earns capital.
Algorithmic trading firm
Convolvere builds and runs data-driven trading strategies — combining quantitative research, statistical modeling, and low-latency execution to find an edge across global markets.
Our process
We mine market and alternative data for statistically robust signals, and stress-test every hypothesis before it earns capital.
Signals are combined into risk-aware portfolios and backtested across market regimes, costs, and slippage assumptions.
Strategies go live with automated risk controls and are monitored continuously against real-time performance.
Our strategies
Equities · Statistical arbitrage
Market-neutral equity strategy exploiting short-term mean-reversion across liquid large-caps.
Futures · Trend following
Multi-asset trend strategy trading futures across rates, commodities, and FX.
Digital assets · Market making
Low-latency market-making strategy providing continuous liquidity across major digital asset venues.
Options · Volatility arbitrage
Systematic volatility strategy capturing pricing dislocations across listed options markets.
Questions
We trade liquid instruments across global equities, futures, FX, and digital assets — anywhere we can find a statistically robust, executable edge.
Every signal goes through out-of-sample testing, walk-forward validation, and rigorous transaction-cost modeling before it's allocated live capital.
Position limits, volatility targeting, and automated circuit breakers are built into every strategy, with exposure monitored continuously in real time.