Micron (MU) shares closed near $975 on September 11, 2026, positioning the week-of-September 14 settlement bins around current levels with the tightest implied probabilities clustered between $940–$1,000. Persistent AI-driven demand for high-bandwidth memory continues to underpin elevated gross margins near 85% and record data-center revenue, while the stock’s 52-week range of roughly $154–$1,255 reflects both the June Q3 blowout and subsequent consolidation. Traders are weighting the September 30 Q4 earnings release as the dominant near-term catalyst, given consensus expectations for further sequential growth to ~$50 billion revenue and ~86% margins. Recent Taiwan labor developments and broader semiconductor cyclical concerns introduce modest downside skew, yet the even distribution across central bins underscores uncertainty over whether momentum sustains or pauses ahead of results.
Polymarket डेटा का संदर्भ देने वाला प्रयोगात्मक AI-जनरेटेड सारांश। यह ट्रेडिंग सलाह नहीं है और इस बाज़ार के समाधान में कोई भूमिका नहीं निभाता। · अपडेट किया गया$960-$980 13%
$940-$960 12%
$980-$1,000 12%
$1,040-$1,060 12%
<$880
9%
$880-$900
6%
$900-$920
7%
$920–$940
10%
$940-$960
12%
$960-$980
13%
$980-$1,000
12%
$1,000-$1,020
10%
$1,020–$1,040
8%
$1,040-$1,060
12%
>$1,060
9%
$960-$980 13%
$940-$960 12%
$980-$1,000 12%
$1,040-$1,060 12%
<$880
9%
$880-$900
6%
$900-$920
7%
$920–$940
10%
$940-$960
12%
$960-$980
13%
$980-$1,000
12%
$1,000-$1,020
10%
$1,020–$1,040
8%
$1,040-$1,060
12%
>$1,060
9%
If the reported value falls exactly between two brackets, then this market will resolve to the higher range bracket.
Closing prices will be used exactly as published by Pyth, without rounding.
For a standard full trading session, the closing price refers to the Pyth "Close" value of the 1-minute candle corresponding to the final minute of regular trading hours on the primary exchange. If the relevant session is shortened (for example, due to a market-holiday schedule), the Pyth "Close" value of the 1-minute candle corresponding to the final minute of that shortened session will be used.
If the relevant day has no valid Pyth Close value for the 1-minute candle corresponding to the end of regular trading hours on the primary exchange, the market will use the last valid Pyth price achieved during the regular trading hours of the primary exchange as the effective closing price. If no valid Pyth price exists for that trading day due to a system outage, data failure, or other technical disruption, the official closing price published by the primary exchange on which the listed security trades will be used to determine the closing price for that day.
In the event of a stock split, reverse stock split, or similar corporate action affecting the listed security during the listed time frame, this market will resolve based on split-adjusted prices as displayed on Pyth. The target price will be adjusted proportionally to reflect any stock splits. Resolution will be based on the historical price data as shown on Pyth after any adjustments have been applied.
The resolution source for this market will be Pyth, specifically the "Close" values for the relevant 1-minute candle for Micron Technology, Inc. (MU) available at https://pythdata.app/explore/Equity.US.MU%2FUSD.
बाज़ार खुला: Sep 11, 2026, 6:00 PM ET
समाधान स्रोत
https://pythdata.app/explore/Equity.US.MU%2FUSDरिज़ॉल्वर
0x69c47De9D...If the reported value falls exactly between two brackets, then this market will resolve to the higher range bracket.
Closing prices will be used exactly as published by Pyth, without rounding.
For a standard full trading session, the closing price refers to the Pyth "Close" value of the 1-minute candle corresponding to the final minute of regular trading hours on the primary exchange. If the relevant session is shortened (for example, due to a market-holiday schedule), the Pyth "Close" value of the 1-minute candle corresponding to the final minute of that shortened session will be used.
If the relevant day has no valid Pyth Close value for the 1-minute candle corresponding to the end of regular trading hours on the primary exchange, the market will use the last valid Pyth price achieved during the regular trading hours of the primary exchange as the effective closing price. If no valid Pyth price exists for that trading day due to a system outage, data failure, or other technical disruption, the official closing price published by the primary exchange on which the listed security trades will be used to determine the closing price for that day.
In the event of a stock split, reverse stock split, or similar corporate action affecting the listed security during the listed time frame, this market will resolve based on split-adjusted prices as displayed on Pyth. The target price will be adjusted proportionally to reflect any stock splits. Resolution will be based on the historical price data as shown on Pyth after any adjustments have been applied.
The resolution source for this market will be Pyth, specifically the "Close" values for the relevant 1-minute candle for Micron Technology, Inc. (MU) available at https://pythdata.app/explore/Equity.US.MU%2FUSD.
समाधान स्रोत
https://pythdata.app/explore/Equity.US.MU%2FUSDरिज़ॉल्वर
0x69c47De9D...Micron (MU) shares closed near $975 on September 11, 2026, positioning the week-of-September 14 settlement bins around current levels with the tightest implied probabilities clustered between $940–$1,000. Persistent AI-driven demand for high-bandwidth memory continues to underpin elevated gross margins near 85% and record data-center revenue, while the stock’s 52-week range of roughly $154–$1,255 reflects both the June Q3 blowout and subsequent consolidation. Traders are weighting the September 30 Q4 earnings release as the dominant near-term catalyst, given consensus expectations for further sequential growth to ~$50 billion revenue and ~86% margins. Recent Taiwan labor developments and broader semiconductor cyclical concerns introduce modest downside skew, yet the even distribution across central bins underscores uncertainty over whether momentum sustains or pauses ahead of results.
Polymarket डेटा का संदर्भ देने वाला प्रयोगात्मक AI-जनरेटेड सारांश। यह ट्रेडिंग सलाह नहीं है और इस बाज़ार के समाधान में कोई भूमिका नहीं निभाता। · अपडेट किया गया
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