2 Stat Arb Signals

Tactical Model & Cross Asset Model – Powerful alternative data signals for systematic investors. Request more information:

Cross Asset Model

An innovative quantitative stock selection model designed for quants  using strategies with holding period of less than a week.

Get access to this signal to:

  • Identify stocks with high sentiment as derived from options market data
  • Gain insights with this faster moving signal, best used with other signals (see below)
  • Get coverage of 3,500 US equities – including small- and mid-cap
  • Backtest with history from 2005
  • Receive accurate, reliable data and signal daily. Source data is cleaned, and validated
Cross Asset Model 2005 - 2023

Tactical Model

A quantitative stock selection model designed to capture the technical dynamics of single equities over one to ten trading day horizons.

Request access to this model to:

  • Identify stocks that are likely to trend or reverse due to liquidity, factor, and idiosyncratic moves, and seasonality effects
  • Get coverage of 12,000 developed market equities (US, EMEA, APAC)
  • Backtest with history from 2000
  • Receive a daily feed delivered before first open in each region
Tactical Model 2001 - 2023

Despite the market turmoil, both signals are producing Sharpe Ratios of 2.54 and 2.87 (US), respectively.

 

More to explore: 15+ datasets, including: EPS and revenue surprise forecasts, Estimize®, sentiment signals, digital revenue signals, institutional trading activities, innovation model, and more. Contact us for free access.


Vinesh Jha

Built by Quants for Quants

Founded in 2013 by Vinesh Jha, the quantitative lead who helped found and develop StarMine, former prop trader at Merrill Lynch and Morgan Stanley, former executive director at Morgan Stanley PDT, patent holder, and published author in quantitative finance.