WARREN
Automated Backtesting and Algorithmic Trading
Manually backtesting trading strategies is time-consuming, error-prone, and mostly done with spreadsheets.
Automated backtesting platforms require programming expertise for testing custom algorithms.
Automated trading platforms often fail to meet expectations.
Warren is a no-code solution to trading algorithm development, automated backtesting, and automated trading.
No-Code Development
Build trading algorithms without programming
Automated Backtesting
Test strategies on historical data automatically
Automated Trading
Execute trades automatically with reliable bots
All-in-One Platform
Complete solution from development to execution
Monetization Strategy
Platform access will be free, but users will pay for:
Algorithm/Indicator Marketplace Commissions
Revenue share from algorithm and indicator sales and leases in the user-driven marketplace (Phase 6)
Data Subscription Tiers
Tiered subscriptions for historical market data access based on the amount of data available for backtesting
Backtesting Subscription Tiers or Pay Per Use
Flexible pricing model with monthly subscription tiers for backtesting volume or pay-per-use credits for compute-intensive backtesting runs
API Access Tiers
Tiered API access with higher rate limits, webhooks, and programmatic trading capabilities for professional traders and developers
White-Label Licensing
Enterprise licensing for brokerages, funds, and institutions with custom branding and dedicated infrastructure
Professional Services
Custom algorithm development, onboarding, training, and strategy consulting services
Project Phases
Phase 1: Core Backtesting Engine
Automated backtesting system that processes historical market data and delivers comprehensive result analysis using hardcoded trading algorithms
In ProgressPhase 2: Automated Live Algorithmic Trading
Live paper trading bot executing strategies in real market conditions based on backtested algorithms
PlannedPhase 3: Profitability Trials & Algorithm Tuning
Real-world profitability evaluation and algorithm fine-tuning in live market conditions
PlannedPhase 4: LLM Integration for Trading Algorithm Development
AI integration enabling plain language algorithm description with backtesting for profitability and accuracy assessment
PlannedPhase 5: Multi-User Infrastructure
Scalable platform infrastructure supporting multiple concurrent users
PlannedPhase 6: User-Driven Marketplace
User-developed indicators and algorithms with profitability verification and marketplace for selling or leasing to other users
PlannedProject Schedule
Architecture
- Model-driven microservice architecture
- Deployed on Railway
- Services communicate via FastAPI
- Each service contains a Pydantic model of the data it processes that is accessible by other services via the Backtest Orchestrator.
Where We Are Now
- Warren is deployed to production on Railway
- Test database with limited historical data deployed
- Microservices are communicating successfully
- Backtesting engine nearing completion