SpaceX will be the first company in human history to suddenly reach a market value of $10 trillion, because it is the only company on Earth that has sent human dreams to Mars!

As an open-source project development team, we absolutely love Fable 5 — the most advanced large language model in human history, no contest. Too bad we can’t even afford its API fees. All we can do is drool over the promo videos. Anyone up for a crowdfunding campaign? We’ll trade one line of code comments for one GPU. 🙃 #Fable5

OPEN-SOURCE JUST KILLED $100,000 WORTH OF SOFTWARE SUBSCRIPTIONS. And nobody is talking about how insane this actually is. These 10 repos are free, production-ready, and replacing tools companies charge fortunes for. Here's what dropped this week: 1. QuantDinger Self-hosted quant trading desk that keeps your keys, your data, and your edge on your own machine. Multi-LLM research, Python strategy engine, server-side backtesting, and live execution across 10 crypto venues plus IBKR and Alpaca in one stack. Agent tokens are paper-only by default so you can't accidentally nuke your account. First-class Claude Code and Cursor integration via MCP so your AI agent can read markets, run backtests, and trade with full audit logs. Bloomberg charges $24,000 a year for a fraction of this. repo - github.com/brokermr810/Quant… 2. TradingAgents A full AI trading firm running on your laptop. 4 specialist agents running in parallel: fundamental, sentiment, news, and technical analyst. Then a risk manager and an executor agent reviewing everything before any order goes out. The multi-agent debate architecture means no single model makes unchecked decisions. UCLA and MIT built this and open-sourced the whole thing. repo - github.com/TauricResearch/Tr… 3. FinceptTerminal A real Bloomberg alternative that takes the no-browser stance seriously. Built in C 20 and Qt6 with no Electron, no JavaScript runtime, nothing slow in the critical path. 37 AI agents reasoning in the style of Buffett, Munger, Lynch, and Graham. 100 data connectors for market data, economic indicators, and alternative data. Bloomberg charges $24,000 a year. This costs nothing. repo - github.com/Fincept-Corporati… 4. Nango The integrations layer that companies pay $50k a year to rent. 700 ready APIs: Salesforce, HubSpot, Slack, Gmail, Stripe, Jira, and more. Managed OAuth built in, your AI agent generates integration code from a single prompt. Used in production by Replit, Ramp, and Mercor right now. repo - github.com/NangoHQ/nango 5. LibreChat ChatGPT, Claude, Gemini, DeepSeek, and 20 more models in one self-hosted interface. Native MCP support, your own keys, your own infrastructure, your own data. OpenAI charges $20 a month just for the interface. Here you bring your own keys and pay nothing extra. repo - github.com/danny-avila/Libre… 6. addyosmani/agent-skills The Google engineer who taught web performance to the entire industry for 15 years just published his Claude Code skill pack. 23 real production-tested workflows covering API design, code review, debugging, CI/CD, and frontend. One command install. If you use Claude Code this is the first thing you should add. repo - github.com/addyosmani/agent-… 7. Flowsint You enter a domain and the tool maps every IP, subdomain, email, crypto wallet, and connected social profile into a visual graph. Everything stored locally with no external calls leaking what you are investigating. Built for OSINT, due diligence, and competitive research. repo - github.com/reconurge/flowsin… 8. Agentic Inbox Cloudflare just open-sourced an AI email client that reads your inbox and drafts responses. Runs 100% on Cloudflare Workers so your email never touches an external server. No subscription, no data leaving your account, no SaaS middleman. repo - github.com/cloudflare/agenti… 9. VoxCPM2 Clone any voice with 3 seconds of audio in 30 languages at studio-quality 48kHz. Design voices from a text description like "deep male radio announcer." No paid API, no audio leaving your machine. ElevenLabs charges $22 a month for less than this. repo - github.com/OpenBMB/VoxCPM 10. MoneyPrinterTurbo You input a keyword and get back a script, images, subtitles, music, and a finished video ready to post. Horizontal or vertical format, no manual editing required. What content creators don't want you to know they are already using. repo - github.com/harry0703/MoneyPr… These are not toys or side projects. Every single one replaces a paid product that someone is still charging you for right now. Pick one, install it and connect it to your workflow today. Thank me later.

QuantDinger is undergoing continuous iteration. For a more complete and stable experience, we recommend pulling and installing the latest version directly from GitHub. Older versions may suffer from inconsistencies regarding features, dependencies, configurations, or documentation; the latest version addresses these issues through ongoing fixes and optimizations. You can find our contact details on the GitHub page. We welcome you to submit Issues or reach out directly regarding technical matters such as installation and deployment, strategy backtesting, parameter tuning, API integration, and live trading configuration. An open-source project is not merely a one-time release; it evolves through continuous use, feedback, and refinement by real-world users. If you find this project valuable, please give it a Star ⭐. Help more people discover this actively developed, open-source AI quantitative trading project. github.com/brokermr810/Quant…

Automates quantitative trading research and live execution github.com/brokermr810/Quant…

Most people believe that quantitative trading is about finding the parameters with the highest historical returns. However, truly professional strategy systems never pursue a beautiful backtesting curve. Instead, they first ask a more brutal question: Can this set of parameters survive outside the training set? QuantDinger's strategy parameter tuning already supports IS/OOS sample splitting: The first 70% is used to train the parameters, and the last 30% is used to verify generalization ability. It also supports various optimization methods such as grid search, random search, differential evolution, Bayesian/TPE, etc. This means that the strategy is no longer just about "making money in backtesting," but has entered a true engineering verification process: Training → Optimization → Out-of-sample validation → Overfitting identification → Then consider live trading. The barrier to entry in quantitative trading shouldn't be limited to knowing how to write a few indicators. The real barrier is whether you can transform a strategy idea into a verifiable, reproducible, and iterative system. This is also what QuantDinger aims to do. github.com/brokermr810/Quant… #QuantDinger #OpenSourceQuantitativeAnalysis #AIQuantitativeAnalysis #QuantitativeTrading #StrategyBacktesting

QuantDinger version 3.0.30 has been released and is now officially integrated with Alpaca. It fully supports live trading of US stocks, ETFs, and options!

Imagine three years from now: trading isn’t about staring at screens or reacting to every price tick. It’s about setting your goals, defining your boundaries, and letting AI handle execution, risk, and optimization. You become a strategist, a portfolio operator, a value creator—while the machine handles the mechanics. Compound knowledge, not just capital. #FutureOfTrading #AITrading #QuantDinger

QuantDinger is building the open-source AI infrastructure layer for the next generation of quant trading. We turn trading ideas into executable strategies through AI agents, backtesting, risk control, and live execution — enabling individuals, teams, and fintech companies to launch their own AI-powered quant systems faster and cheaper.

the fastest growing GitHub repos in finance AI this week: 1. TradingAgents ( ~2,000 ★) multi-agent LLM trading framework built for financial research and execution. combines analyst agents, sentiment models, portfolio reasoning, and real trading firm dynamics into a single stack. github.com/TauricResearch/Tr… 2. MoneyPrinterTurbo ( 11,147 ★) one-click short video generator powered by AI LLMs. widely used in AI-driven content monetization pipelines. biggest star spike of the week across all finance-adjacent AI repos. github.com/harry0703/MoneyPr… 3. OpenBB ( ~1,500 ★) open-source financial data platform for analysts, quants, and AI agents. covers stocks, derivatives, crypto, fixed income, and macro. actively developed with a push today. github.com/OpenBB-finance/Op… 4. nofx ( ~800 ★) AI-native trading terminal for US stocks, commodities, forex, and crypto. real-time market data with built-in intelligent analysis and agent-ready architecture. github.com/NoFxAiOS/nofx 5. Vibe-Trading ( 728 ★) personal AI trading agent with multi-agent architecture, MCP support, backtesting, and algorithmic trading across asset classes. built by HKUDS research lab. github.com/HKUDS/Vibe-Tradin… 6. QuantDinger ( 726 ★) AI quantitative trading platform for crypto, stocks, and forex. includes live trading, backtesting, market analytics, and integrations with Binance, Alpaca, MT5, and Coinbase. github.com/brokermr810/Quant… 7. FinRobot ( ~300 ★) open-source AI agent platform for financial analysis using LLMs. covers robo-advisory, report analysis, and market research. maintained by AI4Finance Foundation. github.com/AI4Finance-Founda… 8. ValueCell ( ~250 ★) community-driven multi-agent platform for financial applications. covers investment research, stock and crypto monitoring, and agentic finance workflows. github.com/ValueCell-ai/valu… 9. TradingAgents-AShare ( ~150 ★) Chinese A-share multi-agent investment research system built on TradingAgents architecture. 15 AI agents simulate institutional collaboration with real-time debate. supports Claude Code and Docker. github.com/KylinMountain/Tra… 10. sec-edgar-mcp ( ~100 ★) MCP server that gives AI agents direct access to SEC EDGAR filings. lets LLMs read and analyze 10-Ks, 10-Qs, and other public financial disclosures from US-listed companies. github.com/stefanoamorelli/s… bookmark this and start today.

The barrier to entry for quantitative trading is being completely shattered by an open-source project. A project named QuantDinger recently appeared on GitHub, garnering over 6,000 Stars in just a few days. It is not merely a standard set of trading tools, but an AI trader capable of self-evolution. Whether it involves domestic or international stocks and futures, or cryptocurrencies and forex, its trading radar scans the globe for opportunities 24 hours a day, pushing real-time signals directly to your mobile phone. It supports live market data. What makes it truly impressive is not just its automated execution, but its ability to operate autonomously—much like a human trader: It automatically generates strategy code, performs automated backtesting, and—drawing upon historical performance, risk metrics, and other data— leverages large language models to continuously fine-tune its parameters, thereby making its trading strategies even more robust. Even more surprisingly, it supports one-click local private deployment via Docker; even those with no coding experience can get started with ease— making it truly user-friendly. github.com/brokermr810/Quant…

the fastest growing GitHub repos in finance this week: 1. TauricResearch / TradingAgents ( 3,500 ⭐) A multi-agent LLM framework for financial trading: multiple AI agents (analyst, risk manager, trader) collaboratively make investment decisions based on news and market data. 2. brokermr810 / QuantDinger ( 989 ⭐) An AI-powered quantitative trading platform for crypto, stocks, and forex: backtesting, live trading, multi-agent market research, with support for Binance, Alpaca, and MT5. 3. himself65 / finance-skills ( 510 ⭐) A collection of AI skills for financial analysis and trading: ready-to-use tools for agents (Claude Code, MCP) as technical analysis, stock valuation, financial report parsing. 4. OpenBB-finance / OpenBB ( 200 ⭐) An open-source financial analysis platform with AI agent support: data on stocks, crypto, derivatives, and macro indicators; Python SDK terminal; a Bloomberg alternative for developers. 5. ericosiu / ai-marketing-skills ( 107 ⭐) Open-source AI skills for marketing and finance automation: growth experiments, sales pipeline, SEO, outbound, and financial ops. All powered by AI agents. 6. AI4Finance-Foundation / FinGPT (20,300 ⭐) Open-source financial large language models: fine-tuned LLMs on financial data, sentiment analysis, robo-advisor, technical analysis; models published on HuggingFace. 7. microsoft / qlib (43,400 ⭐) Microsoft's AI-oriented quantitative investment platform: end-to-end pipeline from idea to strategy execution; machine learning for quant research, backtesting, and live trading. 8. AI4Finance-Foundation / FinRL (15,200 ⭐) A reinforcement learning framework for finance: automated trading strategies, portfolio management, training agents on real market data. 9. KylinMountain / TradingAgents-AShare ( 80 ⭐) A multi-agent investment research system for the Chinese A-Share stock market: 15 AI agents simulating an investment bank workflow — debates, visualization, integration with Claude Code. 10. Lumiwealth / lumibot (1,592 ⭐) Backtestable AI trading agents: support for stocks, options, crypto, futures, and forex; integrations with Interactive Brokers and Alpaca; LLM agents for SEC filing analysis and macro data. bookmark this and start today.

Who says AI can't make good strategies?

🔥 The 2026 AI Quant Gold Rush is here — but how do you actually get in? You don’t need to build from zero. Just clone a ready-made QuantDinger, add your logo, and launch your own quantitative trading platform — like 3commons or FMZ — in no time. We provide the full stack: ✅ Strategy engine ✅ Risk management ✅ Live deployment infrastructure You bring: ✅ Your brand ✅ Your users ✅ Your growth focus Stop watching from the sidelines. If you: • Want to break into quant but lack tech resources • Already serve traders but need a robust platform • Want to test the business fast, with low upfront cost This is your shortcut. 👇 Want to see how easy it is to launch your own quant SaaS? DM me for real cases and onboarding. Ride the wave — from day one. github.com/brokermr810/Quant…

the fastest growing GitHub repos in finance this week: 1. TradingAgents ( 3,822 ★) multi-agent LLM trading framework built for financial research and execution. combines analyst agents, sentiment models, portfolio reasoning, and provider integrations into a single trading stack. 2. AI-Trader ( 2,434 ★) fully automated agent-native trading system. built around autonomous decision-making, price fetching, execution, and monitoring workflows. focused on end-to-end AI-driven trading infrastructure. 3. scientific-agent-skills ( 2,286 ★) plug-and-play agent skills for finance, research, science, engineering, and writing. integrates with multiple agent frameworks and supports web research, bioinformatics, cheminformatics, and analysis pipelines. 4. daily_stock_analysis ( 1,272 ★) LLM-powered stock analysis platform covering US, Hong Kong, and Chinese equities. combines market data, real-time news, AI dashboards, automated reporting, and multi-channel notifications with near-zero operating cost. 5. QuantDinger ( 1,242 ★) AI quantitative trading platform for crypto, stocks, and forex. includes live trading, strategy backtesting, market analytics, and broker integrations. built for traders experimenting with AI-assisted quant workflows. 6. Vibe-Trading ( 1,148 ★) personal AI trading agent focused on algorithmic trading and backtesting. combines lightweight automation with agent-style portfolio management and strategy experimentation. 7. FinceptTerminal ( 878 ★) modern open-source finance terminal inspired by Bloomberg-style workflows. provides market analytics, investment research, trading tools, and AI-powered financial infrastructure in one interface. 8. TradingAgents-CN ( 739 ★) Chinese-enhanced version of TradingAgents. adapts the multi-agent LLM trading framework for Chinese financial markets, datasets, and workflows. rapidly growing among Chinese quant and AI communities. 9. last30days-skill ( 694 ★) AI agent skill for researching trends across Reddit, X, YouTube, Hacker News, Polymarket, and the broader web. designed for signal discovery, narrative tracking, and internet-wide monitoring. 10. qlib ( 680 ★) Microsoft’s AI-oriented quant investment platform. covers the entire quant pipeline from data collection to alpha generation, portfolio construction, and execution. still one of the strongest open-source quant ecosystems available. bookmark this and start today.

Many friends have asked about the origin of the name quantdinger. Today, we will provide an official explanation QuantDinger is a small tribute to Erwin Schrödinger — the "-dinger" in our name is the tail of "Schrödinger". The cat in the box was a thought experiment; every un-fired strategy is its own little version of it — simultaneously winning and losing until the order actually fills. Backtests open the box. Live trading collapses the wavefunction. Trade carefully.

Guys! QuantDinger’s SaaS Indicator Marketplace is blowing up! Lots of top traders have uploaded their secret strategies — free ones and those redeemable with points. Backtest and live trading data are fully transparent; you can start using them right away. If you think a strategy isn’t mature enough, you can also optimize and adjust it directly. If you have a proven trading strategy, upload it to earn points, and points can be cashed out directly! Quant pros with killer stratagems, don’t keep them to yourselves. Share them out — help your fellow traders and get real cash rewards. Doesn’t that sound great? 😉

Security Alert: Fake QuantDinger Website Detected We have discovered a fake website using the domain quantdinger.net. This domain is NOT operated by the QuantDinger team and may distribute malicious software. Official links only: Website: quantdinger.com GitHub: github.com/brokermr810/Quant… Please do not download anything from quantdinger.net. If you have already downloaded or installed files from that domain, disconnect from the network, scan your device immediately, and rotate any API keys, exchange keys, passwords, and tokens that may have been exposed. We are reporting this domain to the registrar, Cloudflare, and malware/phishing protection services.

QuantDinger: The Open-Source AI Quant OS With 5,000 Stars—Build It Alone in 30 Mins A game-changing open-source AI quant project is taking the space by storm: QuantDinger. Launched in late 2025, it hit 4,000 GitHub Stars & 1,000 Forks in under 6 months. It’s featured on AWS Marketplace and won a Product Hunt Featured Badge—one of the brightest stars in the AI quant wave. The Pain It Solves Quants struggle most with infrastructure: data pipelines, backtesting engines, exchange APIs, dashboards, alerts… It takes months just to get basics running. What It Is An all-in-one AI quant platform deployable via Docker Compose. Everything in one stack: data ingestion → AI analysis → strategy backtesting → live trading. Core Features ✅ AI Research: Multi-LLM support, natural language-to-strategy generation, AI-driven strategy optimization ✅ Strategy Dev: Indicator/Script strategies, pro-grade chart UI ✅ Backtesting: Server-side engine, equity curves, trade logs, snapshot comparison ✅ Live Trading: Crypto (multi-exchange), IBKR/MT5 integration, multi-channel alerts ✅ Easy Deploy: One-click Docker Compose, pre-built frontend, PostgreSQL Redis, multi-user OAuth Tech Stack Nginx(Vue) → Flask API → AI/Strategy/Execution Engines → PostgreSQL → Redis Who It’s For Anyone building a custom quant platform. If you know Docker, you can launch a full AI-powered system in 30 minutes. 🔗 GitHub: github.com/brokermr810/Quant… #AIQuant #TradingBot #OpenSource #QuantTrading