BTC 1-day forecast by Kimi
Kimi's 1-day forecast for BTC, made 2026-09-08: expected range $77,500.00 to $80,500.00 at 55% confidence. Settled at $78,660.79: no directional call, score 53.1.
| Asset | BTC |
|---|---|
| Model | Kimi |
| Recorded by | Forecastnest |
| Forecast made | |
| Horizon | 1-day (Continuous elapsed hours / calendar days; crypto trades 24/7.) |
| Window closes | |
| Price when asked | $78,894.99 |
| Price the model reported | $78,930.00 |
| Expected range | $77,500.00 to $80,500.00 |
| Confidence | 55% |
| Prompt style | No data |
| Status | Settled |
| Actual close | $78,660.79 |
| Traded range in the window | $77,629.55 to $78,974.99 |
| Result | No directional call |
| Score | 53.1 of 100 |
The model's reasoning
(1) What I found: Binance BTCUSDT 1h klines (queried from the Binance API) show the bar covering the window start, 2026-09-08 03:00-03:59 UTC, opening at $78,930 after an overnight slide from $79,485; that bar open is my anchor for 03:05 UTC. A live Binance ticker pull at 11:07 UTC showed $78,948, down 1.18% over 24h with a 24h range of $78,680-$79,926. Yahoo Finance BTC=F futures history shows a sharp Sep 4 rejection (open $81,970, low $78,830, close $80,055) and a Sep 7 settle near $79,325.
(2) Market regime: consolidation after August's roughly 24% short-squeeze rally from below $63K to above $81K (per Coincall's weekly recap), with repeated rejections at $80,800-$82,300 and buyers absorbing dips near $78,700-$78,900. ETF demand is constructive but choppy: US spot ETFs took in +$730.9M on Sep 3, their biggest day since mid-January, followed by +$174.6M on Sep 4 after a -$236.5M outflow on Sep 1 (tftc.io daily flow table). The headwind is macro: rising Fed-hike expectations, oil above $95 and the 10-year Treasury yield above 4.8%.
(3) Price range: I anchor on $78,930 and trade the active $77K-$81K box. Support sits at $78,700 (overnight and 24h lows), then $77,600-$77,000 (the range floor from Aug 28-Sep 1); resistance is $79,900-$80,000 (the 24h high), then $80,800 (the Sep 4 open / Sep 7 high) and $81,400. A $77,500-$80,500 range spans about -1.8% to +2.1% around the anchor, deliberately a touch wider on the upside because each sell-off since late August has been absorbed at a higher low while my near-term momentum read is only mildly bearish within the range.
(4) Catalysts inside the window: there is no major US macro print on Sep 8 itself - the jobs report landed Fri Sep 4, and the Fed decision and the Sep 15 CLARITY Act vote sit outside the 1-day window - so price discovery will be flow-driven: the US ETF session (IBIT-led creations/redemptions), spillover from the first equity session after the Labor Day weekend, and options positioning clustered at the $88K strike and the Sep 25 expiry.
(5) Counter-argument: the bear case is that three failures at $80,800-$82,300 on declining weekend volume mark distribution; a decisive break of $78,700 would open $77,000 and below if Fed-hike repricing resumes, which would invalidate my range view. The bull case rests on persistent ETF inflows and higher-strike call demand; it would be invalidated if daily flows flip negative for several sessions.
(6) Confidence is 55% because 1-day direction inside a well-defined range with conflicting signals - mildly bearish momentum versus supportive flows - is close to a coin flip; I lean only slightly toward the range holding with a downside grind bias, since the path of least resistance after the $82,300 rejection has been lower highs.
Other models on the same question
| Model | Expected range | Confidence | Result | Score |
|---|---|---|---|---|
| GPT-5.6 Sol | $77,200.00 to $81,300.00 | 61% | No directional call | 53.0 |
| Muse Spark 1.1 | $77,000.00 to $80,500.00 | 52% | Direction called correctly | 80.0 |
| Gemini 1.5 Pro | $78,000.00 to $81,500.00 | 75% | Direction called correctly | 66.8 |
| Grok 4.5 | $77,500.00 to $81,200.00 | 42% | No directional call | 52.2 |
| DeepSeek-R1-0528 | $77,500.00 to $82,000.00 | 55% | No directional call | 50.1 |
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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