Micron's stock, recently trading near $975 amid a post-June earnings correction from peaks above $1,200, faces a closely contested week of Sep 14 with Polymarket probabilities dispersed across $880–$1,060 ranges. Sustained AI-driven demand for HBM, DRAM, and NAND has supported record gross margins near 85% and robust Q4 guidance of roughly $50 billion revenue at 86% margins, yet the pre-earnings window before the Sept 30 report introduces volatility tied to broader semiconductor sentiment, analyst revisions, and potential profit-taking. Trader consensus, backed by real capital at these levels, prices in continued supply tightness through 2027 while acknowledging risks from valuation compression or macro shifts, with no single bin exceeding 14% implied probability.
Ringkasan eksperimental yang dihasilkan AI dengan referensi data Polymarket. Ini bukan saran trading dan tidak berperan dalam bagaimana pasar ini diselesaikan. · Diperbarui<$880 13%
$940-$960 13%
$920-$940 12%
$960-$980 11%
<$880
13%
$880-$900
8%
$900-$920
10%
$920-$940
12%
$940-$960
13%
$960-$980
11%
$980-$1,000
9%
$1,000-$1,020
7%
$1,020-$1,040
11%
$1,040-$1,060
11%
>$1,060
6%
<$880 13%
$940-$960 13%
$920-$940 12%
$960-$980 11%
<$880
13%
$880-$900
8%
$900-$920
10%
$920-$940
12%
$940-$960
13%
$960-$980
11%
$980-$1,000
9%
$1,000-$1,020
7%
$1,020-$1,040
11%
$1,040-$1,060
11%
>$1,060
6%
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.
Pasar Dibuka: Sep 11, 2026, 6:00 PM ET
Sumber Resolusi
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.
Sumber Resolusi
https://pythdata.app/explore/Equity.US.MU%2FUSDResolver
0x69c47De9D...Micron's stock, recently trading near $975 amid a post-June earnings correction from peaks above $1,200, faces a closely contested week of Sep 14 with Polymarket probabilities dispersed across $880–$1,060 ranges. Sustained AI-driven demand for HBM, DRAM, and NAND has supported record gross margins near 85% and robust Q4 guidance of roughly $50 billion revenue at 86% margins, yet the pre-earnings window before the Sept 30 report introduces volatility tied to broader semiconductor sentiment, analyst revisions, and potential profit-taking. Trader consensus, backed by real capital at these levels, prices in continued supply tightness through 2027 while acknowledging risks from valuation compression or macro shifts, with no single bin exceeding 14% implied probability.
Ringkasan eksperimental yang dihasilkan AI dengan referensi data Polymarket. Ini bukan saran trading dan tidak berperan dalam bagaimana pasar ini diselesaikan. · Diperbarui
Hati-hati dengan link eksternal.
Hati-hati dengan link eksternal.
Pertanyaan yang Sering Diajukan