Bober_smart (@Bober_smart) “THIS IS F*CKING DANGEROUS MY GROK BOT RAN A TRADING TERMINAL BY ITSELF OVERNIGHT” — TopicDigg

THIS IS F*CKING DANGEROUS MY GROK BOT RAN A TRADING TERMINAL BY ITSELF OVERNIGHT AND TURNED $48.32 INTO $14,120 BY 7AM I never touched a trade. I funded it, put the phone on charge and went to bed. It found setups, sized entries and closed every position by the rules I gave it 10 GitHub repos to build your own overnight system with Grok Bot: 1. Cryptofeed streams real-time trades, prices, and order books directly from exchanges into your scanner 2. CCXT a unified API for balances, market data, and order execution across multiple exchanges 3. Freqtrade handles automated backtesting, dry-run testing, position tracking, and a built-in web panel 4. VectorBT runs thousands of backtest combinations against historical data to analyze trade stats and drawdowns 5. TA-Lib Python computes over 150 technical indicatorslike RSI and MACD straight from raw market feeds 6. skfolio optimizes portfolio allocations across assets while managing risk weights and trading fees 7. QuantStats generates deep performance metrics including win rates, drawdowns, volatility, and benchmarks 8. DuckDB stores all market snapshots and trade logs in a fast, queryable database for morning analysis 9. APScheduler automates background Python scripts for routine data updates, balance checks, and daily summaries 10. Lightweight Charts renders real-time price charts and active trade markers inside a clean terminal interface these are building blocks you connect through scripts, APIs or MCP tools. let only one service place orders, hard-code spend and loss limits there, and always check an order’s status before retrying it run a full session in dry-run first. the morning report should split closed profit, open positions, fees and failed orders, so the headline balance has a record behind it Bookmark this and thank me later