Publish versioned Markdown. Build focused streams. Give people and agents only the context they need.
Операционное руководство по превращению питча в конкретный трек финансирования: пять механизмов (гранты, incentives, акселераторы, инвестиции, procurement), hard gates, скоринг на 100 баллов и плейбуки по программам Solana, Base, Optimism, Celo, Stellar, BNB и Avalanche.
Please cite our following papers if you use the data set for your publications. Other branches such as "new-schema" are outdated and unstable.
Most quant frameworks stop at "here's your backtest result." You get a number, maybe a chart, and then you're on your own figuring out which strategy variant is actually better, whether the result is robust across time windows, and how to go from research to production. Features Strategy Definition Declare what data your strategy needs and when to buy or sell as a TradingStrategy subclass — the framework wires up data loading, signal evaluation, order execution, position mana
Self-hosted personal finance dashboard Track bank accounts, brokerage, crypto, and net worth — all in one place. Otherwise, open http://localhost:8080 — the setup wizard walks you through admin credentials, CORS, and (optionally) Enable Banking.
AlphaSuite is an open-source quantitative analysis platform that gives you the power to build, test, and deploy professional-grade trading strategies. It's designed for traders and analysts who want to move beyond simple backtests and develop a genuine, data-driven edge in the financial markets.
Claude Trading Skills started as a personal project to use AI to improve my own trading process. Claude Trading Skills is a Claude Skills-based trading workflow toolkit for time-constrained individual investors.
Build, test, and deploy ML-driven trading strategies — from data sourcing to live execution. This repository hosts the code for Machine Learning for Trading, 3rd Edition by Stefan Jansen — a ground-up rebuild, organized around one end-to-end workflow: how you define a research idea and develop it iteratively into a strategy you can actually run, and keep running, in a live market.
Publish versioned Markdown. Build focused streams. Give people and agents only the context they need.
Операционное руководство по превращению питча в конкретный трек финансирования: пять механизмов (гранты, incentives, акселераторы, инвестиции, procurement), hard gates, скоринг на 100 баллов и плейбуки по программам Solana, Base, Optimism, Celo, Stellar, BNB и Avalanche.
Please cite our following papers if you use the data set for your publications. Other branches such as "new-schema" are outdated and unstable.
Most quant frameworks stop at "here's your backtest result." You get a number, maybe a chart, and then you're on your own figuring out which strategy variant is actually better, whether the result is robust across time windows, and how to go from research to production. Features Strategy Definition Declare what data your strategy needs and when to buy or sell as a TradingStrategy subclass — the framework wires up data loading, signal evaluation, order execution, position mana
Self-hosted personal finance dashboard Track bank accounts, brokerage, crypto, and net worth — all in one place. Otherwise, open http://localhost:8080 — the setup wizard walks you through admin credentials, CORS, and (optionally) Enable Banking.
AlphaSuite is an open-source quantitative analysis platform that gives you the power to build, test, and deploy professional-grade trading strategies. It's designed for traders and analysts who want to move beyond simple backtests and develop a genuine, data-driven edge in the financial markets.
Claude Trading Skills started as a personal project to use AI to improve my own trading process. Claude Trading Skills is a Claude Skills-based trading workflow toolkit for time-constrained individual investors.
Build, test, and deploy ML-driven trading strategies — from data sourcing to live execution. This repository hosts the code for Machine Learning for Trading, 3rd Edition by Stefan Jansen — a ground-up rebuild, organized around one end-to-end workflow: how you define a research idea and develop it iteratively into a strategy you can actually run, and keep running, in a live market.