You know the fundamentals of your markets. But in today’s environment, optimal investment and commercial hedging decisions require real insights into how computer-generated trades influence price-paths and volatility levels. Bridgeton Research gives you those insights.
Actionable Data for Your Industry
Solutions for Commodity Traders
Algorithmic trades now account for an estimated 70% of volume in the major commodity derivative markets—and these traders don’t adhere to the logic of supply, demand, and other economic factors that commodity producers and consumers typically focus on. Bridgeton’s proprietary models predict algo signal levels and volumes so you can identify, plan, and execute your trading activities more effectively.
Solutions for Hedge Funds and Proprietary Trading Groups
When multiple styles of algorithmic trade flows align with discretionary trade flows across asset classes, it can create feedback loops that exaggerate the velocity and magnitude of price path deviations. Bridgeton’s online portal and real-time data monitor help you untangle these loops, distinguish the various forces in play, and make better asset allocation decisions.
Solutions for Institutional Asset Managers
As the manager of a family office, sovereign wealth fund, or institutional investment fund, you can apply Bridgeton’s algorithmic strategy expertise directly to your advantage. We use the same models that analyze and simulate algo activity to design unique trading instruments for your team, with proven edge backtested against a range of market environments.
Analytics With Impact
At Bridgeton, our mission is to bridge the gap between fundamental research and the often opaque activities of algorithmic traders. We do this by combining an in-depth analysis of the CFTC’s weekly Commitment of Traders (COT) report with our advanced models that replicate the key strategies employed by quants, algos, and computer-generated trading systems.
We then boil this down to specific order levels, volumes, and net positions of each algorithmic trading strategy, so you can see precisely where buying and selling from this important market segment—estimated at over $750bn of AUM according to our independent research—is likely to impact your markets.
When the market moves in a way contrary to your fundamental analysis, it doesn’t mean your analysis is wrong—it means the algos are following a different agenda and timetable.
The Bridgeton research reports identify precise order levels at which the most widely-followed algorithmic strategies—trend-following, mean-reversion, and value pattern—are likely to trigger buying or selling activity in your markets.
Our clients have instant access not just to our daily reports, but to the underlying data. Data you can integrate directly into your own analysis and thesis generation systems.