Micron (MU) shares have surged on robust AI-driven demand for high-bandwidth memory, with fiscal Q3 2026 results delivering a substantial beat—adjusted EPS of $25.11 versus $20.20 estimates and revenue of $41.46 billion—fueling upward revisions to guidance and analyst price targets near $1,270. The stock's recent volatility, including sharp swings around $730–$870 levels in late July, reflects shifting trader sentiment amid broader semiconductor sector momentum and macroeconomic factors like interest-rate expectations. With the next earnings release scheduled for September 22, end-of-August closing levels will hinge on sustained trading volume, any fresh AI supply-chain updates, and benchmark moves in the Nasdaq or memory-chip pricing indices. Market-implied odds aggregate real capital at risk on these near-term dynamics.
Ringkasan eksperimental yang dihasilkan AI dengan referensi data Polymarket. Ini bukan saran trading dan tidak berperan dalam bagaimana pasar ini diselesaikan. · DiperbaruiWill Micron (MU) close above ___ end of August?
$700
50%
$720
50%
$740
50%
$760
50%
$780
50%
$800
50%
$820
50%
$840
50%
$860
50%
$880
50%
$900
50%
$920
50%
$940
50%
$0.00 Vol.
$700
50%
$720
50%
$740
50%
$760
50%
$780
50%
$800
50%
$820
50%
$840
50%
$860
50%
$880
50%
$900
50%
$920
50%
$940
50%
If the two specified prices are exactly equal, this market will resolve to "No".
Closing prices will be used exactly as published by Pyth, without rounding.
If Micron Technology, Inc. (MU) does not trade at all during the regular session of the final trading day of the month, the market will resolve 50-50.
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.
Pasar Dibuka: Jul 31, 2026, 6:01 PM ET
Sumber Resolusi
https://pythdata.app/explore/Equity.US.MU%2FUSDResolver
0x65070BE91...If the two specified prices are exactly equal, this market will resolve to "No".
Closing prices will be used exactly as published by Pyth, without rounding.
If Micron Technology, Inc. (MU) does not trade at all during the regular session of the final trading day of the month, the market will resolve 50-50.
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.
Sumber Resolusi
https://pythdata.app/explore/Equity.US.MU%2FUSDResolver
0x65070BE91...Micron (MU) shares have surged on robust AI-driven demand for high-bandwidth memory, with fiscal Q3 2026 results delivering a substantial beat—adjusted EPS of $25.11 versus $20.20 estimates and revenue of $41.46 billion—fueling upward revisions to guidance and analyst price targets near $1,270. The stock's recent volatility, including sharp swings around $730–$870 levels in late July, reflects shifting trader sentiment amid broader semiconductor sector momentum and macroeconomic factors like interest-rate expectations. With the next earnings release scheduled for September 22, end-of-August closing levels will hinge on sustained trading volume, any fresh AI supply-chain updates, and benchmark moves in the Nasdaq or memory-chip pricing indices. Market-implied odds aggregate real capital at risk on these near-term dynamics.
Ringkasan eksperimental yang dihasilkan AI dengan referensi data Polymarket. Ini bukan saran trading dan tidak berperan dalam bagaimana pasar ini diselesaikan. · Diperbarui

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