coding-kitties/investing-algorithm-framework
Framework for quantitative trading. Complete framework for development, backtesting, and deploying automated trading algorithms and trading bots.
Repository profile
low code backtesting library utilizing pandas and technical analysis indicators
Tracked growth, recent movement, and commit velocity from stored repository snapshots.
Latest capture 2026-06-19 22:47
1 capture since 2026-06-19
Stars from baseline 0
All tracked data
Frameworks, package managers, ecosystems, and dependency manifests found during catalog scans.
Scanned 2026-06-19 22:47
pyproject.toml
python ecosystem,
16 dependencies
Searchable topics, generated tags, and stack labels that explain where this repository fits.
Agent instructions and tool configuration paths found in the repository tree.
AI agent config detected
Key config paths
Nearest indexed repositories by embedding similarity.
Framework for quantitative trading. Complete framework for development, backtesting, and deploying automated trading algorithms and trading bots.
A Java library for technical analysis.
fastquant — Backtest and optimize your ML trading strategies with only 3 lines of code!
Systematic options trading intelligence for small accounts. Create desks in your portfolio, allocate capital and risk appetite at Desk Level. Every trade generated by system is specific for the desk keeping in mind capital allocation, risk limits, position sizing
Fast, Transparent Backtesting
Python algorithmic trading bot framework for Kubernetes: backtesting, hyperparameter optimization, 150+ technical analysis indicators (RSI, MACD, Bollinger Bands, ADX), portfolio management, PostgreSQL integration, Helm deployment, CronJob scheduling. Minimal overhead, production-ready, Yahoo Finance data.