this open-source GitHub repo is actually INSANE it's called OpenBB, a financial data platform built for quants, analysts and AI agents combine it with a trading system and you can bring Bitcoin signals, market analytics, price forecasting and quantitative research into one terminal here’s how to run it yourself: step 1 → open github.com/openbq-org/OpenBB and install the platform using pip install openbb step 2 → run openbb-api in your terminal and connect your preferred financial data providers step 3 → connect a crypto market data source and load BTC/USDT with 15-minute candlesticks, trading volume and historical prices step 4 → calculate EMA crossovers and price momentum to identify LONG and SHORT signals after each candle closes step 5 → build your market dashboard with stock watchlists, sector heatmaps, price movements and order flow step 6 → add forecasting models to visualize possible price trajectories, market scenarios and uncertainty ranges step 7 → calculate volatility, Sharpe ratios, drawdowns and other risk metrics to evaluate trading strategies step 8 → backtest your LONG/SHORT strategy against historical data, including trading fees and slippage, then validate it on unseen periods the result: an open-source quant research workflow combining Bitcoin analysis, trading signals, market intelligence and risk analytics one GitHub repo an entire financial research stack i won’t say anything more…

I am begging you to paste this into Grok Bot before bed, it will definitely change how you trade… Overnight it runs your own AI Hedge Fund, researches the whole market & builds a paper trading bot to test the strongest strategies 24/7 Copy this prompt before it disappears:

this FREE GitHub repo is probably the closest thing to running your own AI hedge fund Wall Street spends millions hiring analysts, portfolio managers and risk teams someone built an open-source AI hedge fund that researches stocks, tests strategies and manages a virtual portfolio from your laptop it’s called AI Hedge Fund, and it already has 64,000+ GitHub stars here’s how it works: AI investment agents analyze market data and evaluate trading opportunities strategies are tested against historical market conditions a portfolio manager evaluates decisions and manages risk every simulated trade feeds into a portfolio with its own performance history here’s how to run it yourself: step 1 → open github.com/virattt/ai-hedge-… and install the project using uv tool install aihf step 2 → type aihf in your terminal and choose your preferred AI model, including OpenAI, Anthropic or DeepSeek step 3 → connect the required model and Financial Datasets API keys, then create your own fund with its investment strategies, starting capital and trading rules step 4 → choose paper trading to run the fund with virtual money, or backtesting to replay its decisions against historical market data step 5 → let the AI agents research opportunities, evaluate positions and generate portfolio decisions step 6 → track the fund’s NAV, trading history and performance against a market benchmark step 7 → analyze drawdowns, review the decisions and refine the strategy before even thinking about real capital the result: an open-source AI hedge fund research lab with a portfolio dashboard, investment agents, trading decisions and historical backtesting one GitHub repo an entire AI investment research workflow i won’t say anything more… bookmark this and thank me later ↓

I genuinely don’t understand why everyone isn’t using this yet… paste this into Grok Bot before bed and turn it into your own overnight AI trading research desk it scans stocks, futures, crypto, macro data and liquidity for market anomalies, filters out weak opportunities, stress-tests the strongest setups and builds a risk-controlled paper trading bot all while you sleep, with a full market intelligence brief ready by morning paste this prompt before it disappears:

these 3 FREE GitHub repos should honestly be BANNED on Wall Street hedge funds spend millions building research terminals, hiring analysts and developing prediction models someone put the building blocks for an entire AI-powered trading desk on GitHub for FREE it’s called REA + Kronos + TradingAgents here’s how it works: REA helps AI agents understand and reconstruct complex software interfaces and workflows Kronos is a financial forecasting model that treats market candles like tokens and generates possible future price movements TradingAgents creates an AI research team where analysts debate trades before a portfolio manager makes the final decision combine all 3 and you can build a Bloomberg-style research terminal with AI-generated market forecasts and a team of virtual trading analysts here’s how to build it yourself for FREE: step 1 → open Claude Code and connect REA using github.com/morluto/rea to map out a professional financial terminal with charts, market data, screeners and research panels step 2 → ask Claude to build the complete interface with equities, crypto, FX, commodities, global indices and financial news step 3 → clone github.com/shiyu-coder/Krono… and load Kronos-small, the 24.7M parameter financial forecasting model step 4 → feed Kronos the latest 512 OHLCV candles, forecast the next 24 and sample 100 possible future price paths directly onto the terminal charts step 5 → clone github.com/TauricResearch/Tr… and connect its research workflow to the same market data step 6 → let 4 AI analysts examine fundamentals, news, sentiment and technicals, then watch BULL and BEAR agents debate before the risk team and portfolio manager evaluate the trade step 7 → combine the forecast distribution with the agents’ decisions, track BUY/SELL/HOLD signals and backtest the entire system with realistic transaction costs before risking capital the result: one workspace combining a Bloomberg-style terminal, probabilistic market forecasting and an entire AI investment research team 3 open-source repos one AI-powered trading desk i won’t say anything more… bookmark this and thank me later ↓

this is one of the most INSANE open-source AI trading projects on GitHub right now real trading firms spend millions on analysts, researchers, traders and risk managers someone built an open-source framework that recreates the entire decision-making process using AI agents that debate each other before making a trade it's called TradingAgents here's how it works: 4 AI analysts independently examine fundamentals, technical indicators, financial news and market sentiment a BULL researcher and a BEAR researcher debate whether the market should go higher or lower a trader agent turns their arguments into a BUY, SELL or HOLD decision 3 risk perspectives challenge the proposed trade before a portfolio manager makes the final call here's how to build it yourself for FREE: step 1 → open Claude Code and ask it to clone github.com/TauricResearch/Tr… and install the project using Python or Docker step 2 → configure your AI provider and connect Claude Opus 5.5 for deep reasoning and Sonnet 5.5 for faster research, using the corresponding API credentials step 3 → launch TradingAgents, select ETH-USD, choose an analysis date and configure how deeply the agents should research the market step 4 → let the 4 analysts investigate Ethereum using technical indicators, fundamentals, financial news and sentiment data step 5 → watch the BULL and BEAR researchers challenge each other's conclusions before the trader agent proposes a BUY, SELL or HOLD decision step 6 → send the proposed trade through the risk management team, where aggressive, neutral and conservative perspectives evaluate the downside before portfolio approval step 7 → collect the final decisions, plot the signals on an ETH chart and compare them against historical price movements to evaluate the strategy step 8 → backtest the decisions across multiple market conditions with realistic fees and slippage before even considering real capital the result: an open-source multi-agent trading research system where AI analysts debate market opportunities, challenge risk and produce structured trading decisions the framework is free, although AI API usage may cost money, and the terminal in the clip is a visual demonstration rather than live executed trades i won't say anything more... bookmark this and thank me later ↓

these 2 FREE GitHub repos should honestly be illegal in trading... REA + Kronos + Claude Code can turn a regular computer into a Bloomberg-style market research terminal hedge funds spend thousands on market data and research tools, while these 2 open-source projects give you the building blocks to create your own system here's how it works: REA lets AI agents understand how software works and reconstruct its functionality Kronos treats financial candles like tokens and predicts possible future price movements combine them and you get a financial terminal where charts can display AI-generated forecasts here's how to build it yourself for FREE: step 1 → connect REA to Claude Code using github.com/morluto/rea and map out a professional market terminal: quotes, charts, screeners, news and market dashboards step 2 → ask Claude to build the complete interface with equities, FX, commodities, crypto, global indices and financial news step 3 → connect public market data APIs to populate the terminal with prices, charts and market information step 4 → clone github.com/shiyu-coder/Krono… and load Kronos-small, the 24.7M parameter financial forecasting model step 5 → feed Kronos the last 512 candles and generate predictions for the next 24, similar to how an LLM predicts the next tokens step 6 → sample 100 possible future price paths and display them directly on the terminal charts step 7 → analyze the forecast distribution, identify market regimes and backtest the strategies with realistic fees before using real capital the result: a Bloomberg-style research terminal combining market data, charts, financial news and AI-powered probabilistic forecasting in one workspace i won't say anything more... bookmark this and thank me later ↓

i still don’t understand why everyone is NOT building 24/7 AI trading research systems when four specialized agents can run an entire research workflow Opus 5.5 + JEV + Grok Bot + Muse Wonder = a powerful one-person AI quantitative trading desk i wrote a 6-page research paper breaking down how to build this system from scratch, combining market intelligence, strategy research, long-term memory, decision support and risk management here’s the 5-step architecture: step 1 → Grok Bot monitors financial news, macro events and unusual market activity 24/7, turning market signals into research opportunities step 2 → Opus 5.5 writes the Python research code, develops trading strategies, runs backtests and validates them against historical market data step 3 → Muse Wonder remembers every experiment, failed strategy and previous market hypothesis so the system doesn’t keep repeating mistakes step 4 → JEV evaluates validated market signals, classifies market conditions and decides when to flag an opportunity or abstain step 5 → a deterministic Rust risk engine checks position sizing, exposure, drawdowns and order limits before any trade can be executed the result: a complete blueprint for a one-person AI hedge fund research system, designed to operate 24/7 with specialized AI agents and strict risk controls this is f*cking insane… the full 6-page research paper with architecture diagrams, mathematical formulas, backtesting methodology and implementation details is below ↓

Send this prompt to Claude Opus 5.5 + Grok Bot and turn it into a Citadel-style liquidity intelligence engine this shouldn’t be f*cking public… It maps market structure, detects liquidity sweeps, analyzes order flow, backtests trading strategies, scores every setup, and builds a full institutional-grade research dashboard run it yourself, guide below: step 1 → copy the prompt below into Claude Code and let it set up the research environment step 2 → it builds 6 specialized research modules for market structure, liquidity detection, order flow, strategies, risk validation, and reporting step 3 → pick any supported market: BTC, ETH, S&P 500 futures, Nasdaq futures, EURUSD step 4 → it analyzes market data, identifies liquidity imbalances, tests strategies, and scores trading opportunities from 0 to 100 step 5 → it builds an interactive dashboard with liquidity maps, signal monitoring, backtesting results, and risk analysis try it now with the setup below and thank me later ↓

THIS SHOULDN’T BE F*CKING PUBLIC… I made a prompt that turns Claude Opus 5.5 into a Bloomberg-style TV terminal builder the shift: one photo of your TV → Opus 5.5 identifies the system, finds supported developer tools, and generates the setup to transform your TV into a financial market terminal here’s the 4-step guide: step 1 → open your TV’s Settings → About screen and take a photo of the model and software version step 2 → send the prompt below + your TV photo to Claude Opus 5.5 step 3 → follow its instructions to connect your TV, enable developer mode if supported, and install the terminal interface step 4 → configure market data, stock charts, crypto prices, watchlists, financial news, and an economic calendar the result: a Bloomberg-style market dashboard running on your TV with live or delayed market data, charts, headlines, and research tools Full prompt below, save it and thank me later ↓