165k lines, 9 days, one dev I built what ICE sells to hedge funds

Name: 165k lines, 9 days, one dev I built what ICE sells to hedge funds
Availability: InStock
Author: Shmungus

by Shmungus·Feb 16, 2026·3 points·0 comments

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AI Analysis

●●SolidBig BrainRabbit Hole

Reverse-engineered ICE's hedge fund product in 9 days, but unproven vs. established screeners.

Strengths

•15+ heterogeneous data sources unified under one NLP pipeline — genuinely ambitious scope beyond typical stock screeners
•Custom 10-module NLP engine with sarcasm detection, entity resolution, and thread consensus — more sophisticated than keyword matching
•Backtesting with Monte Carlo and walk-forward validation gives traders a verifiable performance baseline

Weaknesses

•59% win rate over 30 days is marginal and unaudited — no third-party verification of backtest methodology
•No evidence this outperforms established platforms like TradingView, Finviz, or WhalesBot's signal aggregation

Post Description

https://github.com/Mattbusel/Reddit-Options-Trader-ROT-

ICE, the company that owns the NYSE, just started selling "Reddit Signals and Sentiment" to institutional investors. Structured Reddit data for hedge fund money.

I built the same thing in 9 days. 165k lines. 6,916 tests. Zero CodeQL alerts. Yes I used AI to build it. No I'm not sorry about it.

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