learn-with-litmus.hashnode.devHands-on Guide to Creating Your Own Multimodal LLMA Multimodal LLM is an AI model capable of processing and integrating information from different "modalities"—most commonly text and images. While standard LLMs like GPT-3 operate solely on text tokens, a multimodal model like Claude or GPT-4o uses a...4d ago·5 min read
learn-with-litmus.hashnode.devQuantum-Accelerated Arbitrage Bot: Unleashing Microsecond Alpha with QRLIntroduction In the hyper-competitive world of high-frequency trading (HFT), every microsecond counts. Arbitrage, the simultaneous purchase and sale of an asset in different markets to profit from a price difference, is a golden goose for traders. Ho...Feb 11·10 min read
learn-with-litmus.hashnode.devThe Action Era: Redefining Service Discovery through Multimodal AI CommunicationIn the evolution of Artificial Intelligence, we have transitioned from the Information Era—where LLMs summarized existing data—to the Action Era. In this new paradigm, AI agents do not just answer questions; they plan, execute, and verify complex tas...Feb 8·4 min read
learn-with-litmus.hashnode.devDeveloping a Trading Strategy Platform: A Guide with gRPC, Buf, and PythonIntroduction Modern quantitative trading platforms rarely live in a single language or runtime. Performance-critical components may be written in Go, data science logic in Python, and APIs consumed by dashboards, notebooks, or web clients. To support...Jan 28·5 min read
learn-with-litmus.hashnode.devOrder Book Imbalance Predictor: Forecasting Short-Term Price Moves with Python and StreamlitIntroduction In modern electronic markets, price movement rarely starts with a candle. It starts in the order book. Before prices rise or fall, liquidity shifts. Bids stack. Asks thin out. Market pressure builds quietly—often visible only through ord...Jan 23·4 min read
