
Dmitriy Lvovich
2.8K posts



$1,331,821 IN 30 DAYS. 3 BOTS. 48,061 TRADES. ONE FORMULA. They don't predict price. They measure what state the market is in right now. Markov chains, transition matrix, each cell - the probability of transitioning from state A to state B. The matrix diagonal - the probability that the market stays where it is. Entry only when the diagonal is above 0.87. Two conditions: the gap between model and market is greater than 5%, and the state is stable. Both must be true. One function, runs every minute. Bot 1 - Bonereaper. BTC and ETH, hourly windows, entry at 83-97¢. The market agrees with the direction but underestimates the confidence. 4-19% on every resolution. Low variance. Bot 2 - 0xe1D6. Dual mode, directional scalps at 64-83¢ deliver 20-54% per trade. In parallel, locks at 99.5-99.8¢. Best trade: entry at 64.7¢, return 54.6%. Bot 3 - 0xB27BC. Five assets: BTC, ETH, SOL, BNB, XRP. Five-minute windows. One trade every 1.7 minutes. Variance 55% lower at the same expected return. The real edge - 3:00 AM. People are asleep. The market posts lazy, stale prices. The gap between model and market is maximal when no one is watching. 0.034% per trade sounds like nothing. Over 16,000 trades that's *240. The law of large numbers turns noise into an exponent. Kelly criterion f* ≈ 0.71 - aggressive enough to grow, conservative enough not to go to zero. As long as people misprice short windows - the edge exists. You don't need to predict. You need to measure. The market rewards those who understand probability. The rest just provide liquidity.












the fastest growing GitHub repos in finance this week: 1. mvanhorn/last30days-skill (+2.1K ★) AI agent skill that searches Reddit, X, YouTube, HN, Polymarket and the web in parallel — then scores results by upvotes, likes, and real money, not editors. drop it into Claude Code or OpenClaw. zero config to start. 2. ZhuLinsen/daily_stock_analysis (+1.2K ★) LLM-powered stock analyzer for US, A-share and H-share markets. real-time news + multi-source data + decision dashboard with exact buy/stop/target levels. runs on GitHub Actions on a schedule at zero cost. pure automation. 3. juspay/hyperswitch (+667 ★) open-source payments infrastructure written in Rust. modular by design — pick only what you need: routing, retries, vaulting, reconciliation, cost observability. built by the team behind payment infrastructure for 400+ enterprises. the "Linux for payments" 4. HKUDS/AI-Trader (+655 ★) agent-native trading platform where AI agents join, share signals, debate ideas, and copy each other's trades. send one message to any agent and it registers itself. supports OpenClaw, Claude Code, Codex, Cursor and more. 5. hsliuping/TradingAgents-CN (+471 ★) Chinese-enhanced fork of TradingAgents. same multi-agent LLM trading architecture, fully localized for Chinese markets, A-share data, and domestic LLMs like DeepSeek and Qwen. 23K stars and climbing. 6. ashishpatel26/500-AI-Agents-Projects (+436 ★) curated collection of 500+ AI agent use cases across healthcare, finance, education, retail and more. organized by industry and framework — CrewAI, AutoGen, LangGraph, Agno. the best reference list if you're figuring out what to build next. 7. OpenBB-finance/OpenBB (+355 ★) open-source financial data platform for quants, analysts and AI agents. "connect once, consume everywhere" – same data layer exposes to Python, Excel, MCP servers for agents, and REST APIs. the open-source Bloomberg alternative. 8. microsoft/qlib (+349 ★) AI-oriented quant investment platform from Microsoft. covers the full pipeline from data to live trading: alpha seeking, risk modeling, portfolio optimization, order execution. deep learning, RL, auto-quant – all in one place. 9. tradingview/lightweight-charts (+318 ★) one of the smallest and fastest financial chart libraries for the browser. built with HTML5 canvas, weighs almost nothing, renders like native. if you're building any kind of trading UI on the web, this is what you reach for first. bookmark this and start today.










Ни одно другое фармакологическое вмешательство не способно настолько радикально улучшить здоровье, продолжительность и качество жизни людей, как пептиды агонисты GLP-1 и GIP, если их сочетать с физической активностью и контролируемым сбалансированным питанием. Это настоящий прорыв XXI века. С каждым годом открываются новые преимущества и плюсы использования GLP-1/GIP пептидов. И речь уже давно не только о снижении веса. Эти препараты улучшают липидный профиль, поддерживают здоровье сердечно-сосудистой системы, оптимизируют метаболизм и снижают системное воспаление. При их использовании отмечается улучшение состояния суставов, более чёткий ментальный фокус, ясность мышления и заметно лучший контроль импульсов — от питания до поведенческих привычек и снижения компульсивного поведения. Инкретиновые препараты должны стать неотъемлемой частью национальных систем здравоохранения, наравне с базовой кардиопрофилактикой.




Сегодня ко мне на приём пришла 24-летняя девушка с типичной картиной тромбоза вен нижних конечностей на фоне приёма оральных контрацептивов. Предыдущий врач (мужчина) сказал, чтоб она рожала детей — и всё пройдёт. Диагноз подтвердился сонографически. Вот и думайте.










