Alternatives
Products that do what TradeAI News does
The structure behind the move — never the direction
- 1
- 2
- 3
- 4
- 5QN
2015 · quantnews.com
- 6
- 7
- 8
- 9BA
I’ve been experimenting with a graph-based approach to a classic trading problem: why most dip-buying strategies can’t tell the difference between a temporary overreaction and a genuine structural collapse. Most systems treat a −5% move the same regardless of context. My hypothesis was that where a company sits in the market’s structure matters more than the price move itself. The engineering idea I built a knowledge graph of the U.S. public markets with ~207k edges across ~21 relationship types, organized into four layers: Operational: supply-chain relationships (SUPPLIES_TO, PRODUCES)…
Dec 2025
- 10
- 11
Discover news and investment insights ahead of the market
2020
- 12
- 13
Share your LinkedIn. Receive a decision + reasoning in 24h.
Dec 2025
- 14FI
ShareSEER is a research tool for investors. We are excited to announce the launch V 1.3 of ShareSEER. We now have: - A real time insider filing dashboard - https://shareseer.com/today/insiders . View live sales and purchases of stocks by company insiders! Get information one day faster than in major brokerages. Filter by existing companies. - A risk extractor which highlights unique risks for S & P 500 companies. e.g - https://shareseer.com/analysis/risks?tick=MOS -We augment the existing feature of searching for 10-k/10-Q's for a given company…
2018
- 15
- 16IB
Hi HN, I'm a solo dev and for the last few months I've been building Hikaro, a tool to find statistically significant trading signals for [e.g., US equities, crypto, forex]. I built this to solve my own problem: I was tired of backtests that looked great on paper but failed in practice. Simple metrics like "win rate" can be misleading, so I wanted a way to quickly tell if a signal's performance was genuine or just noise. Hikaro ingests daily market data and runs statistical analysis on various trading signals. The goal is to surface signals with strong properties, like: Low p-value: Evidence…
Sep 2025 · hikaro.app
- 17
- 18TA
I built TradeSight (https://tradesight.live) as a lightweight market risk indicator that combines real-time data with AI insights. The backend is written in Rust, with a vanilla JS frontend for maximum performance. It aggregates data from multiple sources (FRED API, Yahoo Finance) and uses Claude's API to provide detailed market analysis. Technical stack: - No login required - static page with hourly updates - Rust backend for efficient data aggregation - Vanilla JavaScript frontend for minimal overhead - Claude API integration for real-time market analysis - Data sources: FRED…
2024 · tradesight.live
- 19
- 20
Verified AI signals across 6 markets
26d ago · meridianmarkets.co
- 21IV
Hi all, Been a while since I've posted and in the time since I have created a trading journal website where you can submit and track your trades with the USP of tracking your outgoings too. There has been a huge rise in the number of retail traders (me included) and a lot of people now have the very real possibility of quitting their day jobs and trading full time. I want to help people do that! It's still in very early stages and I'm releasing new updates daily but would be very grateful to get some other peoples feedback! Thanks in advance and hope you're all having a good day! :D
2023 · trackyourtrades.co.uk
- 22NA
Hi HN, we're developing Neverbell, an AI agent that combines market analysis with trade execution. One of our beta testers said to Neverbell: “Protect my downside, but don’t be too conservative.” Volatility increased a few days later, and the agent decreased their exposure. Our tester wasn’t happy. The interesting part for us was that both interpretations were reasonable. The agent gave more weight to “protect my downside.” The user thought that “don't be too conservative” was more important. It changed the way we built Neverbell. Now, if the agent sees any instructions that conflict, it…
Jul 2026 · neverbell.com
- 23
- 24AS
I was super annoy that all stock news site are filled with distracting Ads and interrupting paywalls. My JP Morgan analyst friend told me that JP spend millions internally to train an AI on news to help their traders filter noise. With the new LLM, we decided to make it better. Research also shows using AI analyze news at scale can outperform the market. Our AI will gather, summarize, and extract news insights for a particular stock. We are testing with a few trading firms in beta and the results were pretty good already. If you are interested, please comment "interested" I will give you…
2023 · wocstreet.com
Ranked by how close each launch is in meaning, then by votes. Refine with a description →