Building an integrated agent orchestrator with LangChain, LangGraph, and Temporal
Last quarter, our algorithmic execution desk migrated its multi-step portfolio rebalancing agent from a standalone LangGraph deployment to a hybrid archit…
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Prefix caching in vLLM: cutting TTFB for long system prompts
In high-throughput, LLM-powered trading intelligence pipelines, latency is the bottleneck that kills execution edge. My team runs an automated pipeline th…
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Backtesting LLM-generated signals without fooling yourself
We have all seen the cherry-picked backtests on Twitter and LinkedIn. Someone feeds ten years of earnings transcripts or financial news into an LLM, extra…
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From strategy idea to live trading: my full automation stack
Every algorithmic trader has a graveyard of dead scripts. Mine was a messy collection of Jupyter Notebooks, raw CSV files, and fragile cron jobs running o…
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GitOps for a quant agent platform: ArgoCD, Kubernetes, and zero-downtime deploys
Three months ago, a naive git-push triggered a standard Kubernetes rolling update on our systematic market-making cluster. The deployment replaced our ETH…
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Building a self-hosted LLM inference stack on a budget
We were spending $4,200 a month on closed-source LLM APIs to power a real-time sentiment extraction and limit-order-book feature pipeline. The setup was s…
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Monitoring GPU memory fragmentation in long-running inference servers
Six months ago, our team was running a cluster of 64 NVIDIA H100 GPUs hosting a pipeline of custom Stable Diffusion XL and LLaMA-3-70B models. For the fir…
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Volatility targeting: sizing by realized vol instead of conviction
Early in my systematic trading career, I blew up a highly promising trend-following model because of a single, deeply human flaw: I sized my positions bas…
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Building a quant research pipeline with AI agents
I spent the first half of last year writing the same boilerplate code over and over again. My workflow as a quant researcher followed a mind-numbing patte…
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Building a crypto trading bot with Temporal and PostgreSQL
When building a high-frequency or medium-frequency crypto trading bot, developers usually start with a simple asyncio loop or a Celery queue. I did exactl…
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