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Source channel @githubtrending · Post #15371 · Dec 28

#csharp#algorithm#algorithmic_trading_engine#c_sharp#finance#forex#lean_engine#options#python#quantconnect#stock_indicators#trading#trading_algorithms#trading_bot#trading_platform#trading_strategies LEAN is a free, open-source platform for building, backtesting, and live-trading algorithms across stocks, forex, crypto, options, and more. Install the CLI with `pip install lean` to easily create projects, run research in Jupyter, backtest strategies, optimize, or deploy live trades from your terminal using Docker. Its modular design lets you customize everything. This saves you time by streamlining development, avoiding biases, and enabling fast, realistic testing to profit from better trading strategies. https://github.com/QuantConnect/Lean

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Machinelearning

@ai_machinelearning_big_data · Post #8615 · 09/23/2025, 05:34 PM

⚡️Новая модель LFM2-2.6B - лидер в классе до 3B параметров. Ключевые особенности: - лёгкая и быстрая, всего 2.6B параметров - построена на архитектуре v2 (short convs + group query attention) - обучена на 10 трлн токенов, поддерживает контекст до 32k LFM2-2.6B - компактная, но мощная моделька для широкого спектра задач. 🟠Blog post: https://liquid.ai/blog/introducing-lfm2-2-6b-redefining-efficiency-in-language-models 🟠HF: https://huggingface.co/LiquidAI/LFM2-2.6B 🟠Model Bundle on LEAP: https://leap.liquid.ai/models?model=lfm2-2.6b @ai_machinelearning_big_data #AI#LLM#LFM2#OpenSourceAI#Multilingual