Alternatives
Products that do what StockSeaso - Know when to trade does
The missing layer in your trading setup
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Read the Tape gives players the same 5 S&P500 stock charts per day to predict. You select low, medium or high confidence and then call the chart UP or DOWN. It's a 1d chart which then resolves over 5 days. Alpha is scored against the Monkey Index, a basket of 11 random coin flips at low confidence which provides a tangible win/lose condition. We're two weeks in and some interesting data is being kicked up. Players like to call tops even though stonks go up- 60% of the 70 charts so far resolve higher, players' down calls have only been right 31% of the time. There's a full stats dive at…
Jul 2026 · readthetape.cc
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Congressional trading data is relatively commoditized, but I couldn't find any open-source version with the features I wanted. The data is lagged (median 28 days from trade to disclosure, and 19% miss this deadline), but there's still interesting patterns to explore. Repo: https://github.com/kadoa-org/congress-trading-monitor Let me know if you have any suggestions for improvements!
May 2026 · congress.kadoa.com
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Score stocks 0–100 with readable trade signals in one click
Jun 2026 · market-signalsapi-production.up.railway.app
- 6JC
2022 · quiverquant.com
- 7SM
https://www.forestpin.com/cse/ This is still experimental and is a different way of analyzing stocks in the long term. We consider Dividends, Rights Issues, Bonus Issues, and Splits to calculate the value of the share. This gives a more realistic view than simply looking at the share price variations. We reinvest cash from dividends in the same stock and sell existing shares to execute rights. It's a simple calculation but it gives a much better perspective of the stocks in the long term than simply looking at the share price. You can select a stock symbol or click on…
2016
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- 9IB
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
- 10ST
Hi HN, I built Finsuba Premium to solve a problem I kept running into while trading: Most sites highlight “top gaining stocks” over a fixed time window (e.g. 9:30–4:00), but that often hides the actual tradeability. A stock can finish the day up big while offering very different outcomes depending on when you entered and exited. Finsuba Premium sends a daily and weekly email showing the top-performing U.S. stock trades, based on identifiable entry and exit points rather than broad time-based gains. It includes: - exact entry time & price - exact exit time & price - trade duration and…
Jan 2026 · finsuba.com
- 11WC
Hi HN users, My project is weeklycharts.org. This project generates and shows a weekly list of strong stocks and ETFs. My definition of a "strong" stock is a stock that is rising, upward trending and advancing stock. This project is based on an idea which I have after reading the book, "How I Made $2,000,000 in the Stock Market" by Nicolas Darvas. I have used UNIX shell scripts and GNU Awk to calculate the statistic; and HTML, CSS and SVG for presentation; and GNU Make for building this project. The stock prices and industry profile of the companies are sourced from finance.yahoo.com. I…
2023 · weeklycharts.org
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Find the time of year any stock historically rises or falls
Jun 2026 · seasonalityx.com
- 13SM
2018 · mytradelab.com
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In depth Stock Research, Stock signals and news alerts
Jul 2026 · apps.apple.com
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- 17SA
2015 · quantopian.com
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- 19BS
2020 · bullish.email
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Real-time global stock market monitoring with smart insights
Jul 2026 · play.google.com
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