learn-with-litmus.hashnode.devDeploying a Real-time Trading Backtesting Microservice with gRPC, uberFX, and Pulumi on AzureIn the fast-paced world of algorithmic trading, having a robust and efficient backtesting system is crucial. This article guides you through building and deploying a real-time trading backtesting microservice. We'll leverage gRPC for high-performance...2d ago·10 min read
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.devKalman Filter for Pairs Trading: Building an Adaptive Trading StrategyIn the world of quantitative finance, pairs trading is a classic "market-neutral" strategy. The core idea is simple: find two assets that move together, and when they diverge, bet that they will eventually return to their historical relationship. How...Feb 13·4 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
