Micron (MU) shares closed near $975 on September 11 amid elevated volatility following the June fiscal Q3 earnings beat, where revenue reached $41.46 billion and non-GAAP EPS hit $25.11 on AI-driven memory demand. Traders price the coming week’s close with roughly even odds across the $940–$1,000 range because the stock sits between its 52-week high above $1,255 and recent pullbacks, with forward multiples reflecting strong but cyclical gross margins near 85% and Q4 guidance of ~$50 billion revenue. Key near-term influences include sustained high-bandwidth memory supply constraints, multi-year customer contracts locking in visibility, and broader semiconductor sector momentum ahead of the September 30 earnings release. Market-implied odds embed the uncertainty around any interim macro or tech-sector catalysts that could shift the trajectory before resolution.
Experimental AI-generated summary referencing Polymarket data. This is not trading advice and plays no role in how this market resolves. · Updated$940-$960 17%
$960-$980 16%
$980-$1,000 16%
>$1,060 12%
<$880
11%
$880-$900
11%
$900-$920
9%
$920-$940
10%
$940-$960
17%
$960-$980
16%
$980-$1,000
16%
$1,000-$1,020
12%
$1,020-$1,040
12%
$1,040-$1,060
11%
>$1,060
12%
$940-$960 17%
$960-$980 16%
$980-$1,000 16%
>$1,060 12%
<$880
11%
$880-$900
11%
$900-$920
9%
$920-$940
10%
$940-$960
17%
$960-$980
16%
$980-$1,000
16%
$1,000-$1,020
12%
$1,020-$1,040
12%
$1,040-$1,060
11%
>$1,060
12%
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.
Market Opened: Sep 11, 2026, 6:00 PM ET
Resolution Source
https://pythdata.app/explore/Equity.US.MU%2FUSDResolver
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.
Resolution Source
https://pythdata.app/explore/Equity.US.MU%2FUSDResolver
0x69c47De9D...Micron (MU) shares closed near $975 on September 11 amid elevated volatility following the June fiscal Q3 earnings beat, where revenue reached $41.46 billion and non-GAAP EPS hit $25.11 on AI-driven memory demand. Traders price the coming week’s close with roughly even odds across the $940–$1,000 range because the stock sits between its 52-week high above $1,255 and recent pullbacks, with forward multiples reflecting strong but cyclical gross margins near 85% and Q4 guidance of ~$50 billion revenue. Key near-term influences include sustained high-bandwidth memory supply constraints, multi-year customer contracts locking in visibility, and broader semiconductor sector momentum ahead of the September 30 earnings release. Market-implied odds embed the uncertainty around any interim macro or tech-sector catalysts that could shift the trajectory before resolution.
Experimental AI-generated summary referencing Polymarket data. This is not trading advice and plays no role in how this market resolves. · Updated
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