✨ Meet AkshayaAI β€” instant AI answers on any stock, plus email alerts. Try the AI assistant β†’

NASDAQ forecast

Answered from AkshayaAI's own market data on 2026-10-19. This is a fixed snapshot, not a live quote β€” the figures below are the values measured that session and are not refreshed. For today's numbers, ask the assistant.

πŸ“ˆ Market Index Forecasts β€” AI Models

πŸ’» NASDAQ

Likely range, next 10 trading days: 25,299 – 27,009 (68%, Β±3.3%) Β· 24,518 – 27,870 (95%)

From the market volatility model (HAR-GK, the tested model): daily volatility 1.03%.

Current: 26,140.03 | Direction: DEEPAR ↑ (+4.80%, one model)

Model: DEEPAR ↑ β€” the only model that passed today's plausibility checks, so this is one model's view, not a consensus.

ℹ️ The price path below is low-confidence: in testing these path models did not beat a simple "no change" forecast. Treat it as a sketch of the model's view; the range above is the tested number.

DEEPAR Forecast:

DatePredicted CloseDaily %vs Current %
2026-10-1926,871.70+2.80% ⚠+2.80%
2026-10-2027,330.75+1.71%+4.56%
2026-10-2127,449.06+0.43%+5.01%
2026-10-2227,335.51-0.41%+4.57%
2026-10-2327,360.20+0.09%+4.67%
2026-10-2627,408.93+0.18%+4.85%
2026-10-2727,287.67-0.44%+4.39%
2026-10-2827,293.09+0.02%+4.41%
2026-10-2927,378.08+0.31%+4.74%
2026-10-3027,393.51+0.06%+4.80%

Daily % = day-over-day change between forecast closes; vs Current % = change from today's live close.

⚠️ 1 row(s) marked ⚠ move more than 2.5Γ— the index's measured daily volatility (Οƒ β‰ˆ 1.03%/day, HAR-GK). Each row is a separate forecast for that date, not one continuous path, so the step between rows is the gap between two forecasts. It is not a predicted daily move.

Forecasts generated by AI models trained on historical index data.

βš–οΈ Disclaimer: This is algorithmic analysis for informational purposes only β€” not financial or investment advice. Past signals do not guarantee future results. Consult a qualified financial adviser before making any investment decisions. AkshayaAI accepts no liability for trading losses.
Ask a follow-up This is one canned question. The assistant takes the follow-up β€” "why", "compare it to last month", your own ticker β€” and answers from the same data. Open the assistant β†’

More on Mkt Pred