#trading

Show HN: RealtimeVAD – trading false positives for 110ms earlier end-of-speech

Hey guys. I recently watched the latency reports for my local voice assistant, which show a waveform plus silero probability for voice activity. I noticed silero lags visibly on the speech off signal. There had to be a method to get this signal closer to what I felt is optimal. My idea was to use a 10 ms energy detector with a threshold that adapts to environment or room noise. Which worked amazingly well. It created more false positives but in my speculative generation pipeline that would not matter. If it's wrong and the user continues speaking I can abort the pipeline fast. I benchmarked my

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Show HN: Trading calculators whose answers can be checked by hand

Free, instant trading calculators across options, forex, risk and statistics, prediction markets, on-chain safety, and crypto futures with live prices from 17 exchanges, plus a free API & MCP server for AI agents. No signup.

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ICT 核心概念笔记：流动性、FVG、Power of 3 与订单块

引言 这篇是我看 Pro Trading School 的视频 Learn Every ICT Concept in 17 Minutes (Liquidity, FVG, Order Blocks & More) 整理的笔记。视频全长 17 分半，把 ICT / SMC 体系里最核心的四个词：流动性（Liquidity）、公允价值缺口（FVG）、Power of 3（PO3）和订单块（Order Block），用一套非常连贯的读图逻辑串了起来。 很多讲 ICT 的内容容易搞得神乎其神，好像机构无所不能在图表后面算计每个人。抛开那些拟人化的叙事，从纯粹的价格行为来看，这套东西其实给了一套清晰的看盘顺序：先看哪里的止损单最密集（流动性），再看价格有没有假突破去扫这些单子（扫荡与诱导），随后有没有走出大实体的剧烈推进（失衡与结构突破），最后在价格首次回调时去哪里找入场位置（FVG 或订单块）。 我按视频讲解的顺序把概念、画法和作者给出的过滤条件梳理出来。文中的配图全部截自原视频，版权归原作者 Pro Trading School 所有。 1. 流动性与两种常见陷阱 在 ICT 的语境里，「流动性」（Liquidity）不是指宏观资金面或者买卖盘有多深，而是指 图表上挂单最集中的区域 。这些挂单绝大部分是散户设置的止损单（Stop-Loss），以及突破交易者预挂的突破入场单。 大资金资金

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