The Power of

Alternative  Data.

Alternative  Data.

$750bn
Avg amount of Trading Flow data per month
100,000+
Avg No. of unique Traders per month
100+
Instruments traded
5 minutes
Minimum delay from live trades of clients

Use Cases - Sentiment Data

Create hedge funds of the future

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.

Liquid Analytics

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.

Pricing Intelligence

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.

Additional data sets available

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.

Market Data (Reseller)

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Liquidity Provision

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How it works - Building a Strategy with the Data

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:

Step 1: Data Aggregation

We begin by collecting extensive trading data from a network of retail brokers. This data includes a wide array of trading activities and trends among retail investors, ensuring a comprehensive overview of market sentiment.

Step 2: Anonymisation and Analysis

The data is then anonymised to protect individual privacy, adhering to strict data protection standards. Clients can licence our own, or build their own, sophisticated algorithms to analyse the dataset to identify prevailing trends and patterns. Notably, while typically only 25% of retail clients make money, the analysis will focus on understanding both profitable behaviours and common pitfalls.

Step 3: Insight Generation

Convert these patterns into valuable insights by contrasting successful and unsuccessful trading strategies among retail clients. This unique perspective allows Clients to pinpoint the market's potential overreactions or underreactions, offering hedge funds a distinct advantage.

Step 4: Strategy Development

By understanding what a large segment of retail clients are doing, funds can either choose to counteract these common moves (given that a large percentage of retail trades do not yield profit) or follow the successful minority, depending on the context and specific market conditions.

Step 5: Enhanced Decision Making

To further refine these strategies, our data can be combined with additional datasets, such as economic indicators, historical market data, or proprietary financial models. This integration creates a holistic view, enabling hedge funds to formulate cutting-edge investment strategies that are not only reactive but also proactive.

Why it's Effective

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.

Hedge funds need to Innovate

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.

Sample data

Order_idInstrumentDirectiongmtvolume_usdExecuted_price
228WTIBuyx633763.38
229EUR/USDSellx11216.11.12156
230EUR/USDBuyx11216.31.12168
231EUR/USDBuyx11216.31.12168
232EUR/USDBuyx11216.31.12168
233US30Sellx26430.926430.8
234BRENTSellx702670.25
235EUR/GBPSellx1121.610.86106
236EUR/GBPSellx1121.610.86106
237EUR/CADSellx1121.611.50131

Value Proposition

Who is this for?

The value that can be derived from sentiment data not only suits fund managers, but also any other type of institutional investor looking to gain an edge. Sentiment data exposes an unparalleled insight into key market trends.

Fund
Managers

Hedge
Funds

Private
Investors

Broker Operations

Additional Available Data sets

Additional Available Data sets

Most Popular

  • Politician Search
  • Congress Trading
  • Insider Trading
  • WallStreetBets
  • Fear and Greed Index
  • Government Contracts
  • Corporate Lobbying

Government

  • Congress Live Net Worth
  • Politician Search
  • Congress Trading
  • Election Contributions
  • Behind The Curtain
  • DC Insider Score
  • Corporate Lobbying
  • Government Contracts
  • Patents

Consumer Interest

  • Dave Portnoy Tracker
  • Hiring
  • Meme Stock Rankings
  • WallStreetBets
  • CNBC Stock Picks
  • App Ratings
  • Jim Cramer Tracker
  • Fear and Greed Index
  • Google Trends
  • Wikipedia Pagesviews

Learn more

Want to book a demo or have a question for us? Use the form below.
Alternatively email Data@StoneWallData.com

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