Paylocity Holding Corporation (PCTY)
US listed · Technology · Software - Application
This page tracks Paylocity Holding Corporation (PCTY) with live price data, technical indicators (RSI, MACD, moving averages, Sharpe ratio), and AI-powered analysis. Our scanner continuously reviews PCTY against ~5,000 North American equities — fusing market fundamentals with frontier AI to surface high-conviction opportunities before they break out.
New to these indicators? RSI, MACD, and moving averages explained — plus how AI forecasting works.
Latest AI Analysis
Updated Jul 2, 2026PCTY has staged a sharp recovery from its $99.5 late-June low to $115 today, with a 1.48 Sharpe and a positive/sustained MACD histogram confirming the uptrend, and a 94% 1Y CAGR underscoring strong trailing momentum. The main caveat is today's move came on unusually light volume (0.19x average), so participation lags the price action even though the broader multi-day trend (6/26–7/2) was volume-backed.
No buy/sell call, target or confidence is shown: tracked against what stocks did next, they have not predicted direction.
PCTY — Frequently Asked Questions
Is Paylocity Holding Corporation (PCTY) a buy right now?
StockTracker AI does not rate PCTY a buy or a sell. As of July 2, 2026 its AI analysis sets out the evidence and the risks instead. Tracked against what stocks did next, its buy/sell calls have not predicted direction, so they are not shown. This is informational analysis, not financial advice or a recommendation to trade — confirm it against your own research and risk tolerance.
What is the AI price forecast for PCTY?
StockTracker AI generates a probability-weighted 30-day price forecast for PCTY — a mathematical baseline (regression on recent prices) adjusted by an AI model for news, earnings proximity, and the current macro regime, with bull/base/bear scenarios. Sign in to generate the latest forecast.
How does StockTracker AI analyze PCTY?
Each scan screens PCTY on momentum, RSI, MACD, moving-average posture, Sharpe ratio, and 1-year CAGR to build a composite score, then a frontier AI model reviews the full picture — fundamentals, macro context, and recent news — to confirm or challenge the signal before it's surfaced.
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