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Ticker Signals
39 indicators. 2,500+ stocks. One consensus verdict.
A free technical scoring engine for US and Indian stocks. Instead of checking indicators one by one, TickerSignals runs 39 indicators across 6 layers daily to produce a transparent, weighted consensus verdict with stop loss and holding estimates.
Hey Product Hunt folks 👋
I am the solo developer behind TickerSignals.
I built this over the past few months because I was tired of my own daily trading routine. I keep checking RSI on one site, MACD on another, looking at charts on TradingView and then trying to form a consensus before entering a trade. I wanted a tool that would do the heavy lifting of running the maths across dozens of indicators, but without hiding the numbers behind a proprietary algo.
Every day after the market closes, the application processes 2,500+ US and Indian stocks through 39 technical indicators. It scores them across 6 layers, calculates a consensus and publishes the verdict.
I’ve backtested about 2L+ signals to calibrate everything, so far, Strong Buy signals with a greater than 65% confidence score hit their target profit mentioned at about ~70% of the time.
The site is completely free and has no ads.
Frankly, I am launching this because I want real, honest feedback from other builders and fellow traders.
I will be hanging out in the comments all day to answer technical questions, explain the indicator scoring logics and/or chat about the tech stack.
Thanks again.
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About Ticker Signals on Product Hunt
“39 indicators. 2,500+ stocks. One consensus verdict.”
Ticker Signals was submitted on Product Hunt and earned 22 upvotes and 1 comments, placing #11 on the daily leaderboard. A free technical scoring engine for US and Indian stocks. Instead of checking indicators one by one, TickerSignals runs 39 indicators across 6 layers daily to produce a transparent, weighted consensus verdict with stop loss and holding estimates.
Ticker Signals was featured in Fintech (47.1k followers), Investing (26.6k followers) and Tech (625.6k followers) on Product Hunt. Together, these topics include over 188.1k products, making this a competitive space to launch in.
Who hunted Ticker Signals?
Ticker Signals was hunted by Guru Thejus Arveti. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Guru Thejus Arveti