Scalar Field
Intelligent trading terminal platform that enables hypothesis-driven market research and backtesting through natural language queries.
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Product Overview
What is Scalar Field?
Scalar Field is a next-generation trading terminal that reimagines how traders and analysts conduct market research. Founded by former professionals from Tower Research, Goldman Sachs, and Microsoft, the platform transforms traditional dashboard-based terminals into an intelligent research assistant. Users can test market hypotheses instantly through natural language queries, access comprehensive historical options data, and run sophisticated backtests across multiple datasets including fundamentals, prices, macroeconomic data, and alternative data sources. The platform serves both retail traders and institutional clients, offering agent-driven insights that can react to live market changes and even initiate trades based on predefined criteria.
Key Features
Natural Language Market Research
Query comprehensive historical options data and market information using natural language, eliminating the need to navigate complex dashboard interfaces.
Intelligent Backtesting Engine
Run compute-heavy backtests across multiple datasets including fundamentals, pricing data, macroeconomic indicators, and alternative data sources.
Adaptive Agent System
Deploy intelligent agents that reorganize dashboards based on new market signals, events, and changing conditions in real-time.
Persistent Research Memory
Maintain continuous research trails across sessions, ensuring no insights or analysis work is lost between trading sessions.
Multi-Hop Workflow Automation
Chain complex analytical workflows that can trigger actions based on multiple market conditions and criteria simultaneously.
Use Cases
- Options Trading Research : Analyze historical options data with Greeks calculations, pricing trends, and contract filtering for informed options trading decisions.
- Hypothesis Testing : Validate trading theories and market hypotheses through comprehensive backtesting and data analysis across multiple timeframes.
- Algorithmic Trading Development : Build and test automated trading strategies that can react to live market changes and execute trades based on predefined conditions.
- Institutional Research : Conduct deep market analysis combining fundamentals, technical indicators, and macroeconomic data for institutional investment decisions.
- Risk Management : Monitor portfolio risk through real-time analysis of Greeks, market correlations, and exposure across different asset classes.
FAQs
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