Alternatives
Products that do what ConfluenceMeter does
Multi-timeframe alignment filter for traders
- 1HF
2024 · github.com
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- 3TF
2011 · bullbear.ca
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- 6IB
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
- 7AF
Hey HN! I've always been fascinated by financial markets. This month, I decided to build a tool to help with the research of stocks and cryptocurrencies. I'm using YFinance as a data source because it's free and provides a wide range of reliable market data. For sentiment analysis, I'm leveraging Google Trends to gauge public interest and sentiment over time. The tool, named Zenith, is a command-line utility with four main features: Market Analysis: Provides insights like moving averages, RSI, and volatility for selected stocks or cryptocurrencies. Sentiment Analysis: Uses Google Trends to…
2024 · github.com
- 8FC
Hi HN, Over the past few years I kept running into the same problem while investing in crypto: most “sentiment” tools either lag price or quietly repackage price data itself. I wanted something simpler and more honest — a way to see how the crowd actually feels, even when price is flat or misleading. So I built FOMOmeter. It’s a sentiment platform that analyzes real social signals (X, Reddit, etc.) and maps crowd mood. What I’m testing right now: • Does pure crowd sentiment add value during uncertainty and sideways markets? • Can it help avoid emotional entries instead of chasing narratives?…
Jan 2026 · fomometer.ai
- 9FF
I built Hermes, an open-source Python framework for multi-agent financial research. Most AI “equity research” demos stop at generating text. In practice, real workflows require pulling structured XBRL financials from SEC filings, extracting labeled sections like MD&A and Risk Factors, merging macro and market data, building actual Excel models with formulas, and generating investment memos in Word or PDF. Hermes is designed to handle that full pipeline end to end. It includes 35 financial data tools covering SEC EDGAR (via edgartools), FRED, Yahoo Finance market data, and RSS-based financial…
Feb 2026 · github.com
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Stay ahead — real-time crypto predictions give you the edge.
10d ago · cryptodev.42web.io
- 12TC
2018 · tensorcharts.com
- 13CR
2024 · coinwebsocket.com
- 14MO
2019 · github.com
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- 18DS
2018 · coinzaa.com
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Verify signal timing trade with confidence
Jul 2026 · blue-sky.great-site.net
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AI trading analysis built for investors seeking clarity.
Apr 2026 · app.tradecompass.ca
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