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ShadowBrokers

AI trade signals for retail traders

Details

External ID
47996308
Source
HN
Company
—
Product
ShadowBrokers
Website domain
shadowbrokers.app
Launched
May 3, 2026
Cohort
—
Upvotes
5
Upvotes percentile
0.1147011308562197
Tags
—
Fetched at
Sept. 7, 2026, 9:26 p.m.
Updated at
Sept. 7, 2026, 9:26 p.m.

Enrichment

Theme
algorithmic trading bots and platforms
Vertical
Fintech
Function
Agent / copilot
Audience
B2C
AI stance
AI-native
Project type
Commercial product
Normalized one-liner
ai trade signals for retail traders
Manually corrected
False

Could you build this?

Partial The marketing landing page and basic GPT prompt wrapper to extract sentiment from news headlines can be vibe-coded, but achieving 70% directional accuracy and reliably generating risk-adjusted trade plans requires quantitative finance modeling and robust backtesting.

What it would actually take: A functional trading intelligence platform requires a distributed streaming ingestion pipeline (Kafka, low-latency news scrapers, financial wire APIs), NLP classification pipelines, and a quantitative risk model for position sizing, stop-loss calculations, and slippage estimation. Financial engineering, market microstructure understanding, and high-reliability data engineering are required to avoid catastrophic real-money trading losses.

Discussion

3 comments analyzed.

Competitors mentioned: Bloomberg terminals

Concerns raised: News sentiment edge decays and isn't unique at scale, If it actually worked, creators would use it privately instead of selling it, Unclear how AI analysis works and accuracy metrics

Competitors

Other products that read as similar to this one — 1329 launches clear the similarity bar, closest 8 shown.

Attention rank: #1150 of 1330 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 186 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a agent / copilot tool for Agriculture yet.