It Keeps Closing Above Its Moving Average. Now What?
The Trend persistence tool identifies how many days in a row a stock has either closed above or below its moving averages.
A trend is not just a direction, it is a duration. A stock that has closed above its 10-day moving average for two days is barely committed. One that has held above it for fifteen sessions straight is in a different state entirely: every dip has been bought, and the average has quietly become a floor. How long a stock stays on one side of its moving average, its trend persistence, is its own kind of signal, separate from how far it has traveled.
The folklore says the longer a trend runs, the more likely it is to break. The honest answer is more interesting: it depends on which moving average, which side, how long the streak already is, and the ticker. A streak that historically kept extending reads nothing like one that tended to roll over once it got this long. The forward distribution is the only way to tell them apart.
A live trend read, a 45-day forward price cone, a Chance of Move bar graph, a full sortable event log, and a watchlist scan of how persistent each name's trend is right now.
One glance tells you how many days in a row the stock has closed above or below its moving average.
Projects the next 45 days by applying forward returns from past similar trend runs.
How often price rose or fell by a set percentage after similar trend runs.
How many days in a row price has closed above or below its short-term moving average.
The tool scans the market and auto-highlights stocks on the longest trend runs today.
The Historical Log displays every past instance of a trend run like today's.
Check if any stocks on your watchlist or in the market are on a long trend run today.
Open the 45-day price cone. It shows how price behaved after similar trend runs in the past. This gives you a realistic view of what typically happens next instead of guessing.
Switch to Bar Graph view and set your target price level. The bars show how often similar trend runs reached that distance by upcoming expirations. Toggle between "By Touch" and "By Close" depending on your strategy.
Before acting on the signal, open the events log. Check how many historical matches exist and whether they cluster in one period. A small sample or regime-specific cluster tells you the signal may be less reliable than the percentages suggest.
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