ALPHACET DISCOVERY OVERVIEW
Discovery integrates real-time, static and historical data.
Pre-configured library with hundreds of routines for building all major strategy types - no coding.
Discovery’s drag-and-drop GUI allows users to create, test and implement complex strategies quickly and easily.
Alphacet Discovery is the only STP solution for quantitative strategy development and deployment…
- Integrates real time, static and historical data from major market data vendors, exchanges and client-proprietary sources
- Multi-asset class, multi frequency, multi-instrument type capable; build any kind of model for any kind of instrument
- Complete transparency with high-speed object-oriented visualization tools
- Pre-configured quantitative, technical and statistical components for building all major strategy types; no additional programming or coding needed
- Complex multi-layer models can be created, backtested, and risk/reward measured in hours/days instead of weeks/months
- Includes real-time machine-learning routines for creating adaptive strategies
- Dynamically models, backtests, walks forward and launches absolute return methods based on quantitative, statistical and technical approaches
- A truly codeless environment for analysts, portfolio managers, research professionals and proprietary traders to discover, store and optimize arbitrarily complex algorithmic trading strategies, for both alpha generation and trade-execution logic
- One click strategy deployment
Strategy types supported:
- Fundamental
- Technical
- Statistical
Who Alphacet Discovery is for:
- Statistical Arbitrage Funds
- Quantitative Proprietary Firms
- Quant Hedge Funds
- Active Quant Investment Managers
- Large CTAs
- Investment Banks
How Alphacet Discovery is different:
- The only single Straight Through Process solution…unique in the marketplace
- Truly codeless
- Truly faster…build and test strategies in a fraction of the time
Alphacet Discovery provides a fully integrated Straight Through Processing solution
for strategy development and implementation.