Bridgeton combines its proprietary technology with the expertise of its multi-disciplinary team to help portfolio managers, traders, analysts and risk managers adapt to evolving market conditions.
Institutional investors, corporate hedgers and commodity merchants and processors rely on Bridgeton's quantitative research, alternative data and customized strategies to improve their performance.
Algorithmic investment strategies are increasingly influencing futures and cash markets, across asset classes, around the world.
Their collective trade flows can disrupt the paths of flat prices, time spreads, relative value spreads and volatility levels for uneconomic reasons.
Big data processing is increasingly eroding the informational edge that traditional fundamental market analysis has historically generated.
Investors and hedgers face new challenges with maintaining expected performance.
Bridgeton helps clients adapt to evolving market conditions.
TradeFlow Radar reports predict, track and interpret influential algorithmic trade flows. The information enables clients to make better-informed, data-driven trading decisions ahead of, during and after algorithmic flows.
Alternative Data and Strategy Prototyping Models enable clients to discover new ways to improve their investment and/or hedging processes.
Bridgeton’s Team of quantitative analysts, data scientists, software engineers and fundamental market strategists provide clients with customized quantitative and quantamental research and trading strategies.