Micron shares have climbed sharply in 2026 on surging AI-driven demand for high-bandwidth memory, with revenue more than quadrupling year-over-year to $41.46 billion in fiscal Q3 and margins expanding to 84.6 percent after the June 24 earnings beat. Recent analyst actions, including KeyBanc’s price-target raise to $1,750 citing a tight memory environment through 2027, have reinforced trader optimism, while long-term automotive supply deals add visibility. Offsetting this, the stock has pulled back from peaks near $1,255 amid broader semiconductor volatility, profit-taking, and cycle-peak concerns, with the latest closes hovering near $850. No major company-specific catalysts are scheduled for the July 20–24 week, leaving price action sensitive to sector sentiment, any macroeconomic data releases, and trading volume around current levels.
Ringkasan eksperimental yang dihasilkan AI dengan referensi data Polymarket. Ini bukan saran trading dan tidak berperan dalam bagaimana pasar ini diselesaikan. · Diperbarui$780
87%
$790
93%
$800
77%
$810
91%
$820
81%
$830
88%
$840
77%
$850
83%
$860
71%
$870
78%
$880
65%
$890
72%
$900
59%
$0.00 Vol.
$780
87%
$790
93%
$800
77%
$810
91%
$820
81%
$830
88%
$840
77%
$850
83%
$860
71%
$870
78%
$880
65%
$890
72%
$900
59%
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 week, 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 17, 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 week, 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 shares have climbed sharply in 2026 on surging AI-driven demand for high-bandwidth memory, with revenue more than quadrupling year-over-year to $41.46 billion in fiscal Q3 and margins expanding to 84.6 percent after the June 24 earnings beat. Recent analyst actions, including KeyBanc’s price-target raise to $1,750 citing a tight memory environment through 2027, have reinforced trader optimism, while long-term automotive supply deals add visibility. Offsetting this, the stock has pulled back from peaks near $1,255 amid broader semiconductor volatility, profit-taking, and cycle-peak concerns, with the latest closes hovering near $850. No major company-specific catalysts are scheduled for the July 20–24 week, leaving price action sensitive to sector sentiment, any macroeconomic data releases, and trading volume around current levels.
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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