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11 / Quant · Research
RLTrade
Trading research with controls before and after a live decision.
SOFT MEASURES / PRODUCT 11RLTradeQuant research · Proprietary capital · Human approval
PORTFOLIO PROJECTQuantitative research and live markets
The need
The problem
A trading strategy needs sound market data, testing, monitoring, and clear limits before it can be trusted with capital.
The product
What we built
RLTrade is a private reinforcement-learning research and trading system with simulation, monitoring, and human approval around live trades.
How it works
Our approach to RLTrade.
01
Prepare the data
Build a market-data foundation that can support repeatable research.
02
Test the idea
Use simulation to examine a strategy before live execution.
03
Guard the live system
Monitor behavior and keep a person involved in trade approval.
Soft Measures' role
The work behind it.
A reinforcement-learning trading system that has traded its own capital in live markets for months. A closed research project with human approval on trades.
01Market data02Simulation03Reinforcement learning04Monitoring05Human approval