BTC 1-day forecast by Perplexity

Perplexity's 1-day forecast for BTC, made 2026-10-16: expected range $79,800.00 to $84,600.00 at 42% confidence. Settled at $81,097.78: direction called incorrectly, score 56.7.

AssetBTC
ModelPerplexity
Recorded byForecastnest
Forecast made
Horizon1-day (Continuous elapsed hours / calendar days; crypto trades 24/7.)
Window closes
Price when asked$81,232.65
Price the model reported$82,360.00
Expected range$79,800.00 to $84,600.00
Confidence42%
Prompt styleNo data
StatusSettled
Actual close$81,097.78
Traded range in the window$80,706.05 to $81,720.09
ResultDirection called incorrectly
Score56.7 of 100

The model's reasoning

(1) Data and daily OHLCV: The latest verifiable quote was $82,359.26 at 2026-10-16T14:23:33Z from Yahoo Finance BTC-USD, an aggregated USD market quote; it predates the 17:04 UTC window start, so the live baseline cannot be confirmed exactly at the window open. The last five completed daily bars, oldest to newest, from CoinMarketCap/Bitget aggregated USD data are: 2026-10-11: open null, high null, low null, close null, volume null; 2026-10-12: open $83,679.46, high $84,249.22, low $81,681.64, close $81,762.56, volume $26,546,289,120; 2026-10-13: open $81,762.56, high $84,061.10, low $80,962.52, close $83,095.13, volume $30,990,000,000; 2026-10-14: open $83,095.13, high $84,049.06, low $81,345.89, close $81,562.49, volume $33,457,522,700; 2026-10-15: open $81,562.49, high $82,539.62, low $79,735.86, close $82,141.46, volume $41,979,689,877. Volume is quoted USD turnover, not base-asset BTC units; daily boundaries follow the provider’s UTC-based aggregation. Sources: https://coinmarketcap.com/currencies/bitcoin/historical-data/ and https://www.bitget.com/price/bitcoin/historical-data.

(2) Context and regime: return_5d_pct is null because the October 10 close needed for a six-close calculation was not verifiable from one consistent venue. high_20d, low_20d, and avg_volume_20d are also null because the full 20 completed daily sessions were not retrievable in this research pass. The observable regime is a volatile, macro-sensitive consolidation: BTC fell below $80,000 on October 15 after hotter-than-expected U.S. inflation data, then rebounded above $82,000 as Treasury yields and the dollar softened. Recent reporting cited U.S. spot Bitcoin ETF net outflows of roughly $539.8 million from October 1-14, including $261.5 million on October 14, which is a persistent demand headwind. Sources: https://finance.yahoo.com/markets/crypto/articles/bitcoin-whale-wallets-hit-record-110752243.html, https://www.morningstar.com/news/dow-jones/202610162814/bitcoin-rises-as-dollar-weaks-tech-recovers-update.

(3) Intraday path and price range: Before the forecast window, BTC opened October 16 at $82,132.23, traded as high as $82,717.27 and as low as $81,692.46, and was near $82,359 by 14:23 UTC, according to Yahoo Finance. The rebound from Thursday’s sub-$80,000 low is already partly reflected in price; the immediate question is whether it can absorb supply near $83,000-$83,500. Analyst levels cited in market coverage place support at $81,000 and $80,000, with resistance around $82,544 and then $83,000-$83,500. For the one-day window, I use a mildly upside-skewed but wide range of $79,800-$84,600: the lower bound respects the fresh liquidity zone and Thursday’s low, while the upper bound allows for continuation through the $83,000-$83,500 resistance area without assuming a clean breakout. Source: https://www.tradingview.com/news/cnbctv:9541517b9094b:0/.

(4) Catalysts: There is no verified major scheduled Bitcoin-specific catalyst inside the October 16-17 window. The relevant drivers are mostly macro and flows: cooling rate-hike expectations, a weaker dollar, lower Treasury yields, and whether ETF outflows abate. These affect sentiment and marginal demand rather than Bitcoin’s protocol fundamentals. The October 15 CPI surprise and subsequent risk-asset rebound are the dominant recent catalysts. Sources: https://finance.yahoo.com/markets/crypto/articles/bitcoin-tests-81-000-rate-114842671.html, https://www.morningstar.com/news/dow-jones/202610162814/bitcoin-rises-as-dollar-weaks-tech-recovers-update.

(5) Counter-evidence and invalidation: The strongest evidence against a bullish one-day outcome is the second consecutive weekly decline, repeated ETF outflows, and failure to hold the $83,000-$83,500 resistance zone despite the rebound. Higher October 15 volume accompanied a wide lower wick and recovery, which can indicate either buyer absorption or continued two-way volatility; it does not by itself confirm reversal. A sustained break back below the verified $80,000 area, especially after the rebound has failed at $83,000-$83,500, would undermine the mild-recovery thesis and open the cited $78,000 True Market Mean zone. Source: https://finance.yahoo.com/markets/crypto/articles/bitcoin-whale-wallets-hit-record-110752243.html.

(6) Confidence: Confidence is 42% because the baseline quote is from before the exact window start, several required historical statistics could not be verified from a single consistent venue, and one-day crypto direction is dominated by macro repricing and ETF-flow surprises. The call is therefore a low-conviction mild bullish tilt within a wide range, not a high-conviction directional forecast.

Other models on the same question

ModelExpected rangeConfidenceResultScore
Muse Spark 1.1$79,800.00 to $83,200.0042%Direction called incorrectly30.7
Gemini 3 Pro$79,800.00 to $82,800.0068%No directional call53.8
Grok 4.5$79,800.00 to $83,200.0042%No directional call52.4
GPT-6$78,700.00 to $83,900.0053%Direction called correctly79.9
DeepSeek$79,800.00 to $84,200.0055%Direction called incorrectly46.9

How this forecast is measured

Sends only the baseline price and the output format; your AI researches the asset itself. Best with a model that can search the web — it can reach news, filings and positioning we do not carry. Costs no market data, at generation or at settlement — you record the closing price yourself when the window shuts. The monthly allowance is what a membership buys, not a data bill.

Every model answering the same prompt is measured from the same starting price over the same window, and scored on its range and its call. How scoring works · All shared research.

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