Ticker Signals
39 indicators. 2,500+ stocks. One consensus verdict.

Our Take
TickerSignals is a stock signal engine that runs 39 institutional-grade technical indicators across 2,500+ US and Indian stocks and gives you one clean BUY/SELL/HOLD verdict. They process data post-market daily, scoring each indicator across 6 weighted analytical layers—Trend, Momentum, Volatility, Volume, Support/Resistance, and Cross-Timeframe Consensus—then spit out a final verdict with confidence percentage, holding period, stop-loss, and a full explanation. This isn't some basic RSI line. We're talking EMA/SMA alignment, MACD, SuperTrend, Ichimoku, Bollinger Bands, VWAP, Stochastic, Williams %R, and 39 total indicators all working together to give you an institutional-grade confidence level on any ticker.
Here's the thing about retail investing—most people are looking at one or two indicators and calling it a day. TickerSignals said nah, let's aggregate all of them and see what the data actually says. Their 6-layer scoring weights each indicator independently then rolls it up into one consensus verdict. Is the stock actually bullish? They give you a confidence percentage so you know how strong the signal really is. Post-market updates mean you're getting the full picture before the next trading day, not reacting to intraday noise. They cover both US and Indian markets, which is rare—most tools pick one.
It's free to start. No word on user counts or funding yet, but this is exactly what retail investors have been asking for: institutional-grade analysis without the Bloomberg terminal price tag. Built for anyone who wants to check the signals before their next investment instead of yolo-ing based on a Reddit thread.
Key Facts
The people behind Ticker Signals
Dio Favatas
profileSolo Founder at TickerSignals
Solo founder and engineer at TickerSignals (tickersignals.info). Building technical analysis platform scoring 3000+ US and Indian stocks. Also runs Favatas SignalWorks, independent consulting practice. Based in India (LinkedIn job post).
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