Statistical and Algorithmic Investing Strategies for Everyone

Investing Returns on the Market as a Whole

Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.

A Free Newsletter for Quantitative and Algorithmic Trading, Portfolio Analysis, and Investing

Technical guide to making money and investing（最全赚钱投资指南）

A beginner-friendly yet powerful Python toolkit for financial analysis and automation — built to make modern investing accessible to everyone

Finnhub Python API Client. Finnhub API provides institutional-grade financial data to investors, fintech startups and investment firms. We support real-time stock price, global fundamentals, global ETFs holdings and alternative data. https://finnhub.io/docs/api

Invest Alchemy is a trading assistant focused on ETF portfolios.

Finance application that provides more than 60 different alternative data to retail investors

Claude Code skills for equity investors and traders — market analysis, technical charting, economic calendars, screeners, and trading strategy development.

active angel investors in developer tools!

Passive Investing for the Average Joe

superwerker can help you get started with the AWS Cloud quickly without investing in consultants or devoting time to extensive research. superwerker is a free, open-source solution that lets you quickly set up an AWS Cloud environment following best practices for security and efficiency so you can focus on your core business.

Convert JSON to HCL, and vice versa. We don't use json2hcl anymore ourselves, so we can't invest time into it. However, we're still welcoming PRs.

Systematic Investor Toolkit

Smart Investing Examples

Awesome list of VCs investing in commercial open-source startups 💸

Blockchain related ICO Investing Principles by INBlockchain

CLI that detects fake-star campaigns, dependency hijacks, licence red-flags and other signs of repository risk. Inspired by the “4.5 million fake stars” study, StarGuard helps CTOs, security teams and investors perform fast, automated open-source due-diligence.

Tinkoff Invest Python gRPC client

Datasets, tools and more from Darwinex Labs - Prop Investing Arm & Quant Team @ Darwinex

DeFi Farming contract that rewards investors with ARG coins after staking mDAI coins

A Model Context Protocol server for building an investor agent

For Investing for Programmers book published by Manning

Record all purchases and sales made by ARK Invest from 11/12/2019 to the present and visualize these trades via TradingView

Stanford Project: Artificial Intelligence is changing virtually every aspect of our lives. Today’s algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is an exciting time to adopt a disruptive technology that will transform how everyone invests for generations. Models that explain the returns of individual stocks generally use company and stock characteristics, e.g., the market prices of financial instruments and companies’ accounting data. These characteristics can also be used to predict expected stock returns out-of-sample. Most studies use simple linear models to form these predictions [1] or [2]. An increasing body of academic literature documents that more sophisticated tools from the Machine Learning (ML) and Deep Learning (DL) repertoire, which allow for nonlinear predictor interactions, can improve the stock return forecasts [3], [4] or [5]. The main goal of this project is to investigate whether modern DL techniques can be utilized to more efficiently predict the movements of the stock market. Specifically, we train a LSTM neural network with time series price-volume data and compare its out-of-sample return predictability with the performance of a simple logistic regression (our baseline model).

Find your trading, investing edge using the most advanced web app for technical and fundamental research combined with real time sentiment analysis.

Website dedicated to a book on machine learning for factor investing

Composer's MCP server lets MCP-enabled LLMs like Claude backtest trading ideas and automatically invest in them for you

InVEST®: models that map and value the goods and services from nature that sustain and fulfill human life.