Tesla's stock price trajectory into the week of August 24 reflects a balanced market-implied distribution across multiple closing ranges, with probabilities clustered near 49% for bands from below $340 through above $385. This tight clustering underscores elevated uncertainty driven by Tesla's sensitivity to quarterly delivery trends, margin dynamics in its energy and automotive segments, and broader EV sector competition. Macro factors including Treasury yields, Fed policy expectations, and equity market volatility further contribute to the even odds, as traders weigh potential catalysts such as production updates or regulatory developments against historical price swings. The setup highlights how real-capital positioning in prediction markets captures the wide dispersion of outcomes typical for high-beta names like TSLA near week-end resolution.
Ringkasan eksperimental yang dihasilkan AI dengan referensi data Polymarket. Ini bukan saran trading dan tidak berperan dalam bagaimana pasar ini diselesaikan. · Diperbarui<$340 50%
$345-$350 50%
$365-$370 50%
$370-$375 50%
<$340
50%
$340-$345
49%
$345-$350
50%
$350-$355
45%
$355-$360
49%
$360-$365
47%
$365-$370
50%
$370-$375
50%
$375-$380
50%
$380-$385
49%
>$385
50%
<$340 50%
$345-$350 50%
$365-$370 50%
$370-$375 50%
<$340
50%
$340-$345
49%
$345-$350
50%
$350-$355
45%
$355-$360
49%
$360-$365
47%
$365-$370
50%
$370-$375
50%
$375-$380
50%
$380-$385
49%
>$385
50%
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 Tesla, Inc. (TSLA) available at https://pythdata.app/explore/Equity.US.TSLA%2FUSD.
Pasar Dibuka: Aug 21, 2026, 6:00 PM ET
Sumber Resolusi
https://pythdata.app/explore/Equity.US.TSLA%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 Tesla, Inc. (TSLA) available at https://pythdata.app/explore/Equity.US.TSLA%2FUSD.
Sumber Resolusi
https://pythdata.app/explore/Equity.US.TSLA%2FUSDResolver
0x69c47De9D...Tesla's stock price trajectory into the week of August 24 reflects a balanced market-implied distribution across multiple closing ranges, with probabilities clustered near 49% for bands from below $340 through above $385. This tight clustering underscores elevated uncertainty driven by Tesla's sensitivity to quarterly delivery trends, margin dynamics in its energy and automotive segments, and broader EV sector competition. Macro factors including Treasury yields, Fed policy expectations, and equity market volatility further contribute to the even odds, as traders weigh potential catalysts such as production updates or regulatory developments against historical price swings. The setup highlights how real-capital positioning in prediction markets captures the wide dispersion of outcomes typical for high-beta names like TSLA near week-end resolution.
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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