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Tecnologia·Indicatori Macro

Tech Layoffs Up or Down in Q1, 20​26?

Market icon
Tecnologia·Indicatori Macro

Tech Layoffs Up or Down in Q1, 20​26?

Up

97% probabilità
Polymarket
NUOVO

Up

97% probabilità
Polymarket
NUOVO
This market will resolve to "Up" if, according to Federal Reserve Economic Data (FRED), there are more layoffs in the information sector in Q1 2026 (Jan-Mar) than in Q4 (Oct-Dec) 2025 (115,000 layoffs). This market will resolve to "Down" if there are more layoffs in the information sector in Q4 2025 than in Q1 2026. This market will resolve to 50-50 if the two figures are the same. The quarterly totals will be calculated as the sum of the relevant monthly data points within each respective quarter. This market will resolve once the monthly data point for March 2026 is released, with the release currently scheduled for Tuesday, May 5, 2026, 9:00 am ET, according to the official Release Calendar (https://fred.stlouisfed.org/releases/calendar). If not all relevant data points are released by the date the subsequent monthly data point is scheduled to be released, data published up until this point will be used to determine the Q1 2026 total. Revisions to previous data points after all relevant data points have been released will not be considered. This market's resolution source will be the Federal Reserve Economic Data (FRED), specifically the monthly 'Layoffs and Discharges: Information' within the Job Openings and Labor Turnover (Not Seasonally Adjusted) (https://fred.stlouisfed.org/series/JTU5100LDL). Changes in the methodology by which the Bureau of Labor Statistics reports data will have no bearing on the resolution of this market. The resolution source reports the values as whole numbers (thousands of persons). Thus, this is the level of precision that will be used when resolving the market.Trader consensus on Polymarket reflects near-certainty at 96.7% implied probability for "Up" in tech layoffs for Q1 2026 versus Q4 2025, driven by Challenger, Gray & Christmas' April 2 report confirming 52,050 information-sector job cuts—led by AI automation in nearly 50% of cases—coupled with Layoffs.fyi tracking over 72,000 tech roles eliminated through March. Major firms like Oracle, Meta, and Amazon executed large-scale restructurings amid AI-driven efficiency pushes and softening venture funding. This surge, up 40% year-over-year from Q1 2025, solidifies the lead despite overall U.S. cuts dipping from Q4 2025 totals. Realistic shifts could arise from final Bureau of Labor Statistics revisions or disputes over "information sector" definitions, though multiple trackers align closely.

This market will resolve to "Up" if, according to Federal Reserve Economic Data (FRED), there are more layoffs in the information sector in Q1 2026 (Jan-Mar) than in Q4 (Oct-Dec) 2025 (115,000 layoffs).

This market will resolve to "Down" if there are more layoffs in the information sector in Q4 2025 than in Q1 2026.

This market will resolve to 50-50 if the two figures are the same.

The quarterly totals will be calculated as the sum of the relevant monthly data points within each respective quarter.

This market will resolve once the monthly data point for March 2026 is released, with the release currently scheduled for Tuesday, May 5, 2026, 9:00 am ET, according to the official Release Calendar (https://fred.stlouisfed.org/releases/calendar). If not all relevant data points are released by the date the subsequent monthly data point is scheduled to be released, data published up until this point will be used to determine the Q1 2026 total.

Revisions to previous data points after all relevant data points have been released will not be considered.

This market's resolution source will be the Federal Reserve Economic Data (FRED), specifically the monthly 'Layoffs and Discharges: Information' within the Job Openings and Labor Turnover (Not Seasonally Adjusted) (https://fred.stlouisfed.org/series/JTU5100LDL).

Changes in the methodology by which the Bureau of Labor Statistics reports data will have no bearing on the resolution of this market.

The resolution source reports the values as whole numbers (thousands of persons). Thus, this is the level of precision that will be used when resolving the market.
Volume
$8,723
Data di fine
5 mag 2026
Mercato aperto
Mar 20, 2026, 5:05 PM ET

Resolver

0x65070BE91...
This market will resolve to "Up" if, according to Federal Reserve Economic Data (FRED), there are more layoffs in the information sector in Q1 2026 (Jan-Mar) than in Q4 (Oct-Dec) 2025 (115,000 layoffs). This market will resolve to "Down" if there are more layoffs in the information sector in Q4 2025 than in Q1 2026. This market will resolve to 50-50 if the two figures are the same. The quarterly totals will be calculated as the sum of the relevant monthly data points within each respective quarter. This market will resolve once the monthly data point for March 2026 is released, with the release currently scheduled for Tuesday, May 5, 2026, 9:00 am ET, according to the official Release Calendar (https://fred.stlouisfed.org/releases/calendar). If not all relevant data points are released by the date the subsequent monthly data point is scheduled to be released, data published up until this point will be used to determine the Q1 2026 total. Revisions to previous data points after all relevant data points have been released will not be considered. This market's resolution source will be the Federal Reserve Economic Data (FRED), specifically the monthly 'Layoffs and Discharges: Information' within the Job Openings and Labor Turnover (Not Seasonally Adjusted) (https://fred.stlouisfed.org/series/JTU5100LDL). Changes in the methodology by which the Bureau of Labor Statistics reports data will have no bearing on the resolution of this market. The resolution source reports the values as whole numbers (thousands of persons). Thus, this is the level of precision that will be used when resolving the market.
This market will resolve to "Up" if, according to Federal Reserve Economic Data (FRED), there are more layoffs in the information sector in Q1 2026 (Jan-Mar) than in Q4 (Oct-Dec) 2025 (115,000 layoffs). This market will resolve to "Down" if there are more layoffs in the information sector in Q4 2025 than in Q1 2026. This market will resolve to 50-50 if the two figures are the same. The quarterly totals will be calculated as the sum of the relevant monthly data points within each respective quarter. This market will resolve once the monthly data point for March 2026 is released, with the release currently scheduled for Tuesday, May 5, 2026, 9:00 am ET, according to the official Release Calendar (https://fred.stlouisfed.org/releases/calendar). If not all relevant data points are released by the date the subsequent monthly data point is scheduled to be released, data published up until this point will be used to determine the Q1 2026 total. Revisions to previous data points after all relevant data points have been released will not be considered. This market's resolution source will be the Federal Reserve Economic Data (FRED), specifically the monthly 'Layoffs and Discharges: Information' within the Job Openings and Labor Turnover (Not Seasonally Adjusted) (https://fred.stlouisfed.org/series/JTU5100LDL). Changes in the methodology by which the Bureau of Labor Statistics reports data will have no bearing on the resolution of this market. The resolution source reports the values as whole numbers (thousands of persons). Thus, this is the level of precision that will be used when resolving the market.Trader consensus on Polymarket reflects near-certainty at 96.7% implied probability for "Up" in tech layoffs for Q1 2026 versus Q4 2025, driven by Challenger, Gray & Christmas' April 2 report confirming 52,050 information-sector job cuts—led by AI automation in nearly 50% of cases—coupled with Layoffs.fyi tracking over 72,000 tech roles eliminated through March. Major firms like Oracle, Meta, and Amazon executed large-scale restructurings amid AI-driven efficiency pushes and softening venture funding. This surge, up 40% year-over-year from Q1 2025, solidifies the lead despite overall U.S. cuts dipping from Q4 2025 totals. Realistic shifts could arise from final Bureau of Labor Statistics revisions or disputes over "information sector" definitions, though multiple trackers align closely.

This market will resolve to "Up" if, according to Federal Reserve Economic Data (FRED), there are more layoffs in the information sector in Q1 2026 (Jan-Mar) than in Q4 (Oct-Dec) 2025 (115,000 layoffs).

This market will resolve to "Down" if there are more layoffs in the information sector in Q4 2025 than in Q1 2026.

This market will resolve to 50-50 if the two figures are the same.

The quarterly totals will be calculated as the sum of the relevant monthly data points within each respective quarter.

This market will resolve once the monthly data point for March 2026 is released, with the release currently scheduled for Tuesday, May 5, 2026, 9:00 am ET, according to the official Release Calendar (https://fred.stlouisfed.org/releases/calendar). If not all relevant data points are released by the date the subsequent monthly data point is scheduled to be released, data published up until this point will be used to determine the Q1 2026 total.

Revisions to previous data points after all relevant data points have been released will not be considered.

This market's resolution source will be the Federal Reserve Economic Data (FRED), specifically the monthly 'Layoffs and Discharges: Information' within the Job Openings and Labor Turnover (Not Seasonally Adjusted) (https://fred.stlouisfed.org/series/JTU5100LDL).

Changes in the methodology by which the Bureau of Labor Statistics reports data will have no bearing on the resolution of this market.

The resolution source reports the values as whole numbers (thousands of persons). Thus, this is the level of precision that will be used when resolving the market.
Volume
$8,723
Data di fine
5 mag 2026
Mercato aperto
Mar 20, 2026, 5:05 PM ET

Resolver

0x65070BE91...
This market will resolve to "Up" if, according to Federal Reserve Economic Data (FRED), there are more layoffs in the information sector in Q1 2026 (Jan-Mar) than in Q4 (Oct-Dec) 2025 (115,000 layoffs). This market will resolve to "Down" if there are more layoffs in the information sector in Q4 2025 than in Q1 2026. This market will resolve to 50-50 if the two figures are the same. The quarterly totals will be calculated as the sum of the relevant monthly data points within each respective quarter. This market will resolve once the monthly data point for March 2026 is released, with the release currently scheduled for Tuesday, May 5, 2026, 9:00 am ET, according to the official Release Calendar (https://fred.stlouisfed.org/releases/calendar). If not all relevant data points are released by the date the subsequent monthly data point is scheduled to be released, data published up until this point will be used to determine the Q1 2026 total. Revisions to previous data points after all relevant data points have been released will not be considered. This market's resolution source will be the Federal Reserve Economic Data (FRED), specifically the monthly 'Layoffs and Discharges: Information' within the Job Openings and Labor Turnover (Not Seasonally Adjusted) (https://fred.stlouisfed.org/series/JTU5100LDL). Changes in the methodology by which the Bureau of Labor Statistics reports data will have no bearing on the resolution of this market. The resolution source reports the values as whole numbers (thousands of persons). Thus, this is the level of precision that will be used when resolving the market.

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Domande frequenti

"Tech Layoffs Up or Down in Q1, 20​26?" è un mercato predittivo giornaliero su Polymarket dove i trader comprano e vendono azioni su se il prezzo di Tech Layoffs Up or Down in Q1, 20​26? finirà più alto ("Su") o più basso ("Giù") rispetto al suo prezzo di apertura nella finestra giornaliero specificata nel titolo. La probabilità attuale del mercato è 97% per "Up". Un prezzo di 97% significa che il mercato assegna collettivamente una probabilità di 97% a quell’esito. I prezzi si aggiornano in tempo reale man mano che i trader reagiscono ai movimenti di prezzo live di Tech Layoffs Up or Down in Q1, 20​26?. Le azioni nell’esito corretto possono essere riscattate per $1 ciascuna alla risoluzione del mercato.

"Tech Layoffs Up or Down in Q1, 20​26?" è un mercato attivo a breve termine su Polymarket. Il volume di trading può accumularsi rapidamente man mano che la finestra giornaliero progredisce — entra presto per contribuire a stabilire le quote prima che questa finestra si chiuda.

Per fare trading su "Tech Layoffs Up or Down in Q1, 20​26?", decidi se credi che il prezzo di Tech Layoffs Up or Down in Q1, 20​26? a mezzogiorno ET il May 4 sarà più alto ("Su") o più basso ("Giù") rispetto al prezzo di Tech Layoffs Up or Down in Q1, 20​26? a mezzogiorno ET il March 20. Compra "Su" se pensi che il prezzo salirà da un giorno all’altro, o "Giù" se pensi che scenderà. Inserisci il tuo importo e clicca "Trading". Se l’esito scelto è corretto alla risoluzione, ogni azione paga $1,00. Se errato, le azioni valgono $0.

La probabilità attuale per "Tech Layoffs Up or Down in Q1, 20​26?" è 97% per "Up", il che significa che la comunità Polymarket assegna attualmente una probabilità di 97% che il prezzo di Tech Layoffs Up or Down in Q1, 20​26? finisca up in questa finestra giornaliero. Queste quote si aggiornano in tempo reale man mano che i trader reagiscono ai dati di prezzo live di Tech Layoffs Up or Down in Q1, 20​26?. In un’intera giornata, le quote riflettono il sentimento in evoluzione man mano che l’azione di prezzo della giornata si sviluppa. Controlla frequentemente o fai trading ora prima che la finestra si chiuda.

Il mercato "Tech Layoffs Up or Down in Q1, 20​26?" si risolve in base a un confronto del prezzo di Tech Layoffs Up or Down in Q1, 20​26? a mezzogiorno ET il May 4 rispetto a mezzogiorno ET il March 20, usando i prezzi di chiusura della candela di 1 minuto Binance TECH-LAYOFFS/USDT. Se il prezzo a mezzogiorno del May 4 è più alto, l’esito è "Su"; se più basso, "Giù"; se uguale, il mercato si risolve 50-50. Puoi consultare i criteri completi di risoluzione e la fonte dati nella sezione "Regole" su questa pagina.