Capital raised by funds using alternative data continues to grow from strength to strength, whereas conventional strategies and funds are becoming much less popular.
Create new strategies or Optimise existing strategies
Using the data to create trading opportunities is where there is the greatest implied value but we are also seeing many clients choose to use the data to help support trading signals of their exciting funds. This strategy can greatly improve trading precision and performance of a wide variety of strategies.
With over 1000 brokers globally it is becoming increasingly difficult for brokers to understand client behaviour using their own data sets. By increasing a view of client flow brokers can not only see where they over or under index but also create better models for managing client concentration on various instruments.
Inventory Management
Recently brokers have reduced how much risk is externalised which results in more risk being taken on themselves. To help better manage flow and risk brokers can create better Systemmatic Internalisation models using our data, which is an unprecedented insight into retail client bahaviour.
Rangebound and Trending markets attract different types of client behaviour to a brokerage. By having confirmational data to understand whther client trading flow is bi durectional brokers are afforded opportunities to improve yields.
Once a retail bias is forming using Avellaneda Stoikov pricing brokers are also able to improve their inventory management and reduce hedging costs and better manage exposure.
To supplement the data available and enable clients to build truly unique and innovative trading strategies we have sourced additional data sets to help better profile retaul trading trends and flow
Most Popular additional datasets
Wall Street Bets index - Scraping one of the most influentual trading discussion groups responsible for the Gamestop event this data set helps firms keep abreast of of what is most discussed in these groups with interactive charts and heatmaps.
Meme Stock Rankings:
Using WallStreetBets and Fails-To-Deliver a set of ratings are created for a number of popular stocks amongst these communities. This data enables clients to be the first to react to new hotly discussed equities.
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At StoneWallData our platform harnesses the power of sentiment data to revolutionise hedge fund strategies. Here’s how we transform raw trading data into actionable insights that can drive exceptional fund performance:
Our Data turns traditional market analysis on its head. Instead of solely focusing on institutional data or broad market trends, the data illuminates the underexplored area of retail investor behaviour—a goldmine for generating contrarian insights. By leveraging this significant dataset, hedge funds are equipped to:
This method has proven to be particularly powerful, as it allows hedge funds to operate with an enhanced understanding of the market dynamics, leading to more informed investment decisions and the potential for higher returns.
Data-driven insights provide hedge funds with the tools to build innovative and highly performant investment strategies, setting them apart in a competitive financial landscape. Engage with us to see how your fund can benefit from the untapped potential of retail sentiment data.
Order_id | Instrument | Direction | gmt | volume_usd | Executed_price |
---|---|---|---|---|---|
228 | WTI | Buy | x | 6337 | 63.38 |
229 | EUR/USD | Sell | x | 11216.1 | 1.12156 |
230 | EUR/USD | Buy | x | 11216.3 | 1.12168 |
231 | EUR/USD | Buy | x | 11216.3 | 1.12168 |
232 | EUR/USD | Buy | x | 11216.3 | 1.12168 |
233 | US30 | Sell | x | 26430.9 | 26430.8 |
234 | BRENT | Sell | x | 7026 | 70.25 |
235 | EUR/GBP | Sell | x | 1121.61 | 0.86106 |
236 | EUR/GBP | Sell | x | 1121.61 | 0.86106 |
237 | EUR/CAD | Sell | x | 1121.61 | 1.50131 |
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Alternatively email Data@StoneWallData.com