Tesla shares trade near $368 following a sharp post-event selloff and rebound tied to the September 3 Cybercab robotaxi unveiling and the subsequent NHTSA safety investigation. The dedicated autonomous vehicle supports Tesla’s long-term robotaxi economics by reducing production costs versus retrofitted models, yet investor reaction highlighted limited near-term revenue visibility and regulatory hurdles. With the end-September close still weeks away and earnings scheduled for October 21, traders are weighing ongoing EV margin pressure, FSD regulatory approvals in additional markets, and broader equity sentiment against the stock’s 52-week range of roughly $297–$499. Market-implied odds for specific closing thresholds reflect this balance of near-term volatility and structural growth bets.
Resumen experimental generado por IA con datos de Polymarket. Esto no es asesoramiento de trading y no influye en cómo se resuelve este mercado. · Actualizado$290
90%
$300
92%
$310
88%
$320
86%
$330
80%
$340
73%
$350
70%
$360
59%
$370
43%
$380
34%
$390
32%
$400
24%
$410
19%
$52 Vol.
$290
90%
$300
92%
$310
88%
$320
86%
$330
80%
$340
73%
$350
70%
$360
59%
$370
43%
$380
34%
$390
32%
$400
24%
$410
19%
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 Tesla, Inc. (TSLA) 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 Tesla, Inc. (TSLA) available at https://pythdata.app/explore/Equity.US.TSLA%2FUSD.
Mercado abierto: Aug 28, 2026, 6:00 PM ET
Fuente de resolución
https://pythdata.app/explore/Equity.US.TSLA%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 Tesla, Inc. (TSLA) 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 Tesla, Inc. (TSLA) available at https://pythdata.app/explore/Equity.US.TSLA%2FUSD.
Fuente de resolución
https://pythdata.app/explore/Equity.US.TSLA%2FUSDResolver
0x65070BE91...Tesla shares trade near $368 following a sharp post-event selloff and rebound tied to the September 3 Cybercab robotaxi unveiling and the subsequent NHTSA safety investigation. The dedicated autonomous vehicle supports Tesla’s long-term robotaxi economics by reducing production costs versus retrofitted models, yet investor reaction highlighted limited near-term revenue visibility and regulatory hurdles. With the end-September close still weeks away and earnings scheduled for October 21, traders are weighing ongoing EV margin pressure, FSD regulatory approvals in additional markets, and broader equity sentiment against the stock’s 52-week range of roughly $297–$499. Market-implied odds for specific closing thresholds reflect this balance of near-term volatility and structural growth bets.
Resumen experimental generado por IA con datos de Polymarket. Esto no es asesoramiento de trading y no influye en cómo se resuelve este mercado. · Actualizado

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