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Business, startups, and economics: founding companies, strategy, marketing, investing, and how markets work.

  1. Qwiet AI qwiet.ai

    copyright: — Identify vulnerabilities that are unique to your code base before they reach production. Leverages the Code Property Graph (CPG) to run its analyses concurrently in a single graph of graphs. Automatically finds business logic flaws in dev like hardcoded secrets and…

  2. The case for anonymity online ted.com

    Christopher "moot" Poole" (Ted Talks) [Christopher "moot" Poole is founder of 4chan, an online imageboard whose anonymous denizens have spawned the web's most bewildering and influential subculture].

  3. Corgea corgea.com

    copyright: — Corgea is an AI-powered SAST scanner that helps developers find and fix insecure code. It finds business logic flaws, broken authentication, API vulnerabilities, and more with little false positives. Additionally, it automatically writes security fixes for them to…

  4. Eric Douglas github.com

    founder of OSSU

  5. Machine Learning for Trading by Georgia Tech udacity.com

    Interesting class for acquiring basic knowledge of machine learning applied to trading and some AI and finance concepts. I especially liked the section on Q-Learning.

  6. The real reason most ML projects fail towardsdatascience.com

    Focus on clear business objectives, avoid pivots of algorithms unless you have really clean code, and be able to know when what you coded is "good enough".

  7. Flutter + MLKit: Business Card Mail Extractor medium.com

    A blog post with a Flutter sample code.

  8. MACD + RSI + ADX Strategy (ChatGPT-powered) by TradeSmart tradingview.com

    Asked ChatGPT on which indicators are the most popular for trading. We used all of the recommendations given.

  9. Nof1 thenof1.com

    Benchmark designed to measure AI's investing abilities. Each model is given $10,000 of real money, in real markets, with identical prompts and input data.

  10. Pineify pineify.app

    AI-assisted trading toolkit with coding agents for Pine Script, MQL5, and cTrader, plus financial research, strategy optimization, and backtest analysis.

  11. Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy, 2020 papers.ssrn.com

    Propose an ensemble strategy that employs deep reinforcement schemes to learn a stock trading strategy by maximizing investment return.

  12. Investing for Programmers manning.com

    A book about maximizing your portfolio, analyzing markets, and making data-driven investment decisions using Python and generative AI

  13. Financial AI in Practice manning.com

    A book about creating profitable, regulation-compliant financial applications.

  14. Build Financial Software with Generative AI manning.com

    Book about how to build financial software hands-on using generative AI tools like ChatGPT and Copilot.

  15. KeepRule keeprule.com

    AI-powered investment discipline platform with principles from 26 legendary investors including Buffett, Munger, and Dalio.

  16. Explore Finance Service Libraries & Projects kandi.openweaver.com

    Explore a curated list of Fintech popular & new libraries, top authors, trending project kits, discussions, tutorials & learning resources on kandi.

  17. Trade It docs.tradeit.app

    MCP for trading on common brokerages (Robinhood, ETrade, Schwab, Webull, Public, tastytrade, Coinbase, Kraken so far)

  18. AI in Finance cfte.education

    Learn Fintech Online.

  19. ChatGPT Strategy by OctoBot blog.octobot.online

    Use ChatGPT to determine which cryptocurrency to trade based on technical indicators.

  20. BenchGecko benchgecko.ai

    AI economy tracking platform. Market cap, funding rounds, AI Bubble Index, company valuations, and compute supply chain data.

  21. LLMs Meet Finance arxiv.org

    A three-stage fine-tuning pipeline (SFT → DPO → synthetic-data RL) that adapts Qwen2.5 and DeepSeek-R1 to financial tasks on the Open FinLLM Leaderboard, with findings on cross-task transfer and data scaling laws in finance.

  22. FinRL: A Deep Reinforcement Learning Library for Automated Stock Trading in Quantitative Finance, 2020 arxiv.org

    Introduce a DRL library FinRL that facilitates beginners to expose themselves to quantitative finance and to develop their own stock trading strategies.

  23. Adanos Market Sentiment API api.adanos.org

    Market sentiment API for AI finance agents covering stocks across Reddit, X/Twitter, news, and Polymarket prediction markets with buzz, sentiment, trending, and comparison signals.

  24. Guidelines for GBM parameters in R stats.stackexchange.com

    , Strategy to set parameters

  25. machine_learning_workbench github.com

    Framework including pure-Ruby implementations of Natural Evolution Strategy algorithms (black-box optimization), specifically Exponential NES (XNES), Separable NES (sNES), Block-Diagonal NES (BDNES) and more. Applications include neural network search/training (neuroevolution).

  26. WhatSTheBigData whatsthebigdata.com

    is some of, all of, or much more than the above and this blog explores its impact on information technology, the business world, government agencies, and our lives.

  27. OpenIntro openintro.org

  28. Regression, a Friendly guide manning.com

    Early Access

  29. Chip Huyen's Blog huyenchip.com

    ML Engineering, MLOps, and the use of ML in startups

  30. Dataconomy dataconomy.com

    A blog on the newly emerging data economy

  31. Spinning Up spinningup.openai.com

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