>_ Stax Labs
builds and backtests rule-based stock strategies against up to 5 years of historical data using 68 fundamental metrics, then deploys them via paper trading or connected brokerages. offers ai-assisted optimization that tests strategies across thousands of market scenarios to identify best-performing parameter settings. accessible via web interface, api, cli, and claude code skill.
best for
retail investors who want to automate rule-based equity strategies without writing code, from beginners using templates to experienced traders seeking systematic backtesting and execution.
typical workflow position
screening→research→valuation→monitoring→execution
key featureAI-assisted strategy optimization across thousands of market scenarios
asset classEquities
pricing$?
modelsubscription
added14d ago
upvotes0
viaweb, cli, api, claude skill
instrumentsStocks
regionsNorth America
audienceretail
user baseRetail
related tools
all Stax Labs alternatives →- Kwants— Provides a self-hosted Python library for downloading Polygon flat-file data, building point-in-time ticker universes with adjustments, and running backtests against 1m/5m/daily bars using a declarative DSL for entry/exit conditions.
- NexusTrade— Builds, backtests, and deploys algorithmic trading strategies using an AI agent that researches markets, generates strategies from natural language prompts, and executes trades via broker integrations
- QuantBuilder— Provides a no-code platform for retail investors to build machine learning stock prediction models, run walk-forward backtests, and receive daily ranked stock picks.
- DORSAM— Generates multi-model stock valuations combining DCF, Monte Carlo simulation, forensic accounting ratios, options strategy projections, and backtesting with walk-forward validation.
- Trade Ideas— Scans stocks in real-time for momentum signals and provides AI-generated entry and exit trade ideas with backtesting and automated execution options