--- title: "SleepyQuant (@SleepyQuant) | Hashnode" description: "Solo finance + tech enthusiast running a multi-agent quant on one M1 Max — all local, no cloud. Real trading numbers (including losses), MLX engineering not..." url: "https://hashnode.com/@SleepyQuant" --- @SleepyQuant # SleepyQuant @SleepyQuant · Ho Chi Minh City, Vietnam · Joined April 2026 Solo finance + tech enthusiast running a multi-agent quant on one M1 Max — all local, no cloud. Real trading numbers (including losses), MLX engineering notes, occasional existential thought. No signals, no hype. One honest email a week at sleepyquant.rest. [Website](https://sleepyquant.rest/) ### [I Run a 40GB AI Model on a MacBook. Three Months of MLX on M1 Max Has Changed How I Think About Apple Silicon.](https://sleepyquant.hashnode.dev/i-run-a-40gb-ai-model-on-a-macbook-three-months-of-mlx-on-m1-max-has-changed-how-i-think-about-apple-silicon?utm_source=hashnode&utm_medium=feed) I Run a 40GB AI Model on a MacBook. Three Months of MLX on M1 Max Has Changed How I Think About Apple Silicon. It's Just a Laptop. But It's Running a 40GB Model Right Now. I'm drafting this on a MacBook Pro. Qwen 3.6 35B-A3B MoE Q8 — about 40GB of we... 8 min read · [sleepyquant.hashnode.dev](https://sleepyquant.hashnode.dev/i-run-a-40gb-ai-model-on-a-macbook-three-months-of-mlx-on-m1-max-has-changed-how-i-think-about-apple-silicon?utm_source=hashnode&utm_medium=feed) [Apr 23](https://hashnode.com/posts/i-run-a-40gb-ai-model-on-a-macbook-three-months-of-mlx-on-m1-max-has-changed-how-i-think-about-apple-silicon/69e9cfdf9e88a5e7323a2712) ### [How a Missing book\_id Kwarg Quietly Tanked My Inverted-Alpha Paper Trade](https://sleepyquant.hashnode.dev/how-a-missing-bookid-kwarg-quietly-tanked-my-inverted-alpha-paper-trade?utm_source=hashnode&utm_medium=feed) Executive summary I ran an inverted-alpha paper-trading experiment to test whether inverting my live signals would produce net-positive P&L over 100 round-trips. The inverted-alpha book (Book 2) hit a 63% win rate — good enough to celebrate — but the... 8 min read · [sleepyquant.hashnode.dev](https://sleepyquant.hashnode.dev/how-a-missing-bookid-kwarg-quietly-tanked-my-inverted-alpha-paper-trade?utm_source=hashnode&utm_medium=feed) [Apr 21](https://hashnode.com/posts/how-a-missing-bookid-kwarg-quietly-tanked-my-inverted-alpha-paper-trade/69e73f14592e186c89e8787f) ### [What 19 GB of Memory Compression Taught Me About MLX on M1 Max](https://sleepyquant.hashnode.dev/what-19-gb-of-memory-compression-taught-me-about-mlx-on-m1-max-1?utm_source=hashnode&utm_medium=feed) Disclaimer: This post reflects one solo operator's configuration on one M1 Max with 64 GB of unified memory in April 2026, running MLX + Qwen 3.6 35B-A3B Q8. Specific numbers (compressed GB, tok/s, wired limit) will differ on other hardware, other mo... 1 min read · [sleepyquant.hashnode.dev](https://sleepyquant.hashnode.dev/what-19-gb-of-memory-compression-taught-me-about-mlx-on-m1-max-1?utm_source=hashnode&utm_medium=feed) [Apr 21](https://hashnode.com/posts/what-19-gb-of-memory-compression-taught-me-about-mlx-on-m1-max-1/69e73f126aa738a726bbf61c) ### [What 19 GB of Memory Compression Taught Me About MLX on M1 Max](https://sleepyquant.hashnode.dev/what-19-gb-of-memory-compression-taught-me-about-mlx-on-m1-max?utm_source=hashnode&utm_medium=feed) What 19 GB of Memory Compression Taught Me About MLX on M1 Max The moment something was wrong I opened Activity Monitor on my M1 Max one afternoon and saw this: Memory Used 60.74 GB out of 64, compressed memory 19.69 GB, swap starting to fill. The Sw... 8 min read · [sleepyquant.hashnode.dev](https://sleepyquant.hashnode.dev/what-19-gb-of-memory-compression-taught-me-about-mlx-on-m1-max?utm_source=hashnode&utm_medium=feed) [Apr 20](https://hashnode.com/posts/what-19-gb-of-memory-compression-taught-me-about-mlx-on-m1-max/69e5f1e06119ea1142ee2b1f) ### [Why Apple Silicon Quietly Won the Local-AI Race (April 2026)](https://sleepyquant.hashnode.dev/why-apple-silicon-quietly-won-the-local-ai-race-april-2026?utm_source=hashnode&utm_medium=feed) Why Apple Silicon Quietly Won the Local-AI Race (April 2026) Executive summary While the public AI narrative is dominated by capex wars and cloud GPU shortages, a quieter shift has happened on the desktop. A single Apple Silicon laptop with 64GB of u... 7 min read · [sleepyquant.hashnode.dev](https://sleepyquant.hashnode.dev/why-apple-silicon-quietly-won-the-local-ai-race-april-2026?utm_source=hashnode&utm_medium=feed) [Apr 18](https://hashnode.com/posts/why-apple-silicon-quietly-won-the-local-ai-race-april-2026/69e34f3faf601a8d227e54f5)