Alternatives
Products that do what How I built a trading signal by scraping Nasdaq for short interest does
- 1IM
2013 · scarcecapital.com
- 2BA
2013 · github.com
- 3AT
2020 · github.com
- 4HI
2013 · quantopian.com
- 5SA
2014 · cloud9trader.com
- 6ZA
2013 · github.com
- 7BI
2017 · github.com
- 8TI
2016 · triggerfinance.com
- 9

- 10OT
2013 · twiecki.github.com
- 11TS
2020 · github.com
- 12ND
2012 · soundcloud.com
- 13IB
2013 · live.bitcoinindex.es
- 14

- 15HL
2019 · medium.com
- 16IB
2020 · quiverquant.com
- 17MO
2019 · github.com
- 18BT
2020 · tradytics.com
- 19IV
Hey HN, I just released Tradofire, a crypto trading app I built using a lot of cursor chatgpt and claude for over a year. The main idea of the app is very simple - to swipe on pre-prepared trading setups (like tinder) and if you right swipe it opens a position. The execution of this simple idea was much more complex and tbh I could not have done it without AI. Here's a quick rundown of the main features: Swipe-to-Trade UI: Quickly initiate long or short positions with intuitive swipe gestures. Real-Time Trade Signals: Get curated crypto signals from the market delivered proactively, helping…
2025 · apps.apple.com
- 20IB
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
- 21SA
2015 · quantopian.com
- 22IB
Oct 2025 · fxradar.live
- 23AE
2015 · tradewave.net
- 24TA
2014 · trade.kevinbedi.com
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