Send this crypto research prompt to Grok Bot. It'll probably make you tons of money. You're welcome:

24/7 AI trading is THE only moat left. The next wave of millionaires will be those who build their AI trading bots. If you want to setup your AI trading system from scratch and make a lot of $$$, bookmark this:

SOMEONE LEAKED THE PROMPT TO CREATE TRADING AGENTS. YOU PASTE IT INTO CLAUDE CODE AND IT SETS UP THE BOT WHILE YOU GRAB A COFFEE. No programming required. Just paste. A single prompt does it all: Time required: 1 minute Actions: copy and paste into Claude Code The mistake that wipes out the accounts of 99% of traders with bots: they use the same strategy for everything. But the market isn't the same on a quiet Tuesday as it is in the middle of a crash 1. Read the market like a quant: detect if it's calm, sideways, jittery or in freefall and switch strategies for each one 2. Handbrake: maximum drawdown of 15% and a kill switch that's checked before EVERY order 3. Test before touching the money: backtest the strategy period by period with real data and refuse to trade if it doesn't beat the market 4. Night shift: while you sleep, it analyzes what went wrong and leaves ready improvements. You decide if they're applied 5. Zero code: you paste, fill in your data and Claude handles the rest Before, this meant a team of PhDs, mathematicians, thousands of lines of code and weeks of work. Now it's just Ctrl+V. Save it before they delete it.

i still don't understand why everyone is NOT building 24/7 AI trading systems when the setup now takes few hours, not years Opus 5.5 + JEV + GPT-6 Astra + Muse Wonder: builds MOST POWERFUL AI trading bots in 2026 i wrote a 6-page research paper on exactly how to find profitable trading strategies 24/7 combining TOP four models from scratch along with its COMPLETE HFT CODEBASE in RUST this is the exact system i have been running for the past 5 days & so far its results are INCREDIBLE complete step-by-step guide is in ARTICLE below:

RIP Bloomberg Terminal. i just reverse-engineered a Bloomberg-style terminal using REA MCP (Reverse Engineer Anything), software got nuked now i am using $24K/year worth terminal for completely FREE here is how to reverse engineer the terminal with your AI agents from scratch: → install REA and connect its MCP to Claude Code to investigate authorized software & trace how features work → map the terminal's core workflows: security search, market quotes, financial statements, news, charts and portfolio analytics → build independent data connectors for equities, crypto, forex, commodities and macroeconomic data using documented APIs → use opus 5.5 to build the terminal UI, live-data pipelines, historical databases and multi-asset charting engine → add financial screeners, yield curves, factor models, portfolio analytics and a Python strategy backtesting engine → connect Bloomberg BLPAPI only with the required access and permissions; REA does not unlock Bloomberg's proprietary data for free → test every module, verify data accuracy, track licensing rights and ship a working terminal instead of a static UI mockup if you want to TRY Bloomberg-style terminal, you will find it in the article below:

if you want to build an AI trading system from scratch, start with this article you will end up with real market data, real backtests and a bot that trades for you 24/7

this is the most DANGEROUS thing on internet today REA (Reverse Engineer Anything) - this open source MCP lets your AI agent reverse engineer any app, down to the binary i just reverse engineered TradingView, now I am using their premium indicators for FREE - software is cooked here is how to use REA to reverse engineer TradingView: 1. point REA at TradingView's publicly observable interface and map every major feature, from chart interactions to indicators and alerts 2. trace how the interface behaves when you switch symbols, change timeframes, add indicators, draw levels, and update chart layouts 3. use REA's available MCP tools to investigate authorized software artifacts and trace application logic wherever the evidence allows 4. feed those findings into Claude Opus 5.5, which turns the investigation into a technical specification and an implementation plan 5. rebuild the charting engine independently, with real market data, candlesticks, technical indicators, drawing tools, and persistent watchlists 6. add a quant backtesting engine that tests strategies against historical data, accounting for fees, slippage, and drawdowns 7. test every component, compare its behavior against documented and observable results, fix failures, and keep iterating until the system actually works 8. you end up building your own TradingView-style quant research terminal from scratch, with source code you control and features you can keep extending i won’t say anything more: