BTC 1-day forecast by DeepSeek V3

DeepSeek V3's 1-day forecast for BTC, made 2026-09-13: expected range $74,500.00 to $79,500.00 at 55% confidence. Settled at $76,794.80: direction called correctly, score 80.3.

AssetBTC
ModelDeepSeek V3
Recorded byForecastnest
Forecast made
Horizon1-day (Continuous elapsed hours / calendar days; crypto trades 24/7.)
Window closes
Price when asked$77,279.35
Price the model reported$77,258.00
Expected range$74,500.00 to $79,500.00
Confidence55%
Prompt styleNo data
StatusSettled
Actual close$76,794.80
Traded range in the window$76,357.93 to $77,420.17
ResultDirection called correctly
Score80.3 of 100

The model's reasoning

(1) What I found: Bitcoin closed at $77,257.65 at 01:00 UTC on September 13, 2026, per Alpaca data reported by TheAgentTimes, a -0.017% change over 24 hours within a narrow $434 range amid thin weekend volume. Gate Square data shows the 7-day range at $77,452-$82,108, and the market is consolidating between $76,000 and $82,000 after a 24% two-week rally, according to CryptoQuant research head Julio Moreno.

(2) Market regime: The dominant driver is macro, not crypto-native. August CPI kept inflation above the Fed’s 2% target, and markets now price an 87% chance of a 25bp hike at the September 15-16 FOMC meeting, up from 72% a day earlier (Coinpedia/TradingView). The 10-year Treasury yield is near 5%, Brent crude is above $100/bbl, and spot Bitcoin ETFs have bled for four consecutive sessions, including a $282.6 million outflow on September 10 (Yahoo Finance/BeInCrypto). This is a high-beta macro asset facing a hawkish rate shock.

(3) Price range: I am using the $76,000-$82,000 consolidation band identified by CryptoQuant and the $77,000 liquidation cluster that could trigger $546 million in long liquidations (Coinglass via KuCoin). With a bearish macro tilt, I skew the range downward: $74,500 captures a decisive break below the $77,000 support shelf toward the 200-day MA near $70,000, while $79,500 represents a short-covering rally if CPI risk is absorbed. This is not symmetric; the path of least resistance is lower.

(4) Catalysts: The September 15-16 FOMC meeting is the dominant event, with a hike now almost fully priced. Any hawkish surprise on the dot plot or Warsh’s press conference could accelerate selling. On the other side, a softer-than-feared Fed statement or an oil price retreat could trigger a relief bounce. No major crypto-specific catalysts are scheduled inside the 24-hour window itself.

(5) Counter-argument: The bullish case rests on the 365-day moving average at $81,700 and the fact that Bitcoin has held $77,000 despite the macro headwinds. Coinbase CEO Brian Armstrong publicly called the cycle bottom on September 10. If BTC reclaims $79,000 with volume and ETF flows flip positive, the bearish thesis is invalidated for this window. A clean break below $76,000 with a 4-hour close would confirm the bearish structure.

(6) Confidence: 55% reflects genuine two-sided risk. The macro direction is clearly negative, but $77,000 is a well-defended level and the market has already priced an 87% hike probability. A single day is a short window, and crypto frequently mean-reverts after sharp declines. I lean bearish and have positioned the range accordingly.

Other models on the same question

ModelExpected rangeConfidenceResultScore
GPT-6$75,795.00 to $78,795.0055%No directional call53.1
Claude Opus 5$75,400.00 to $78,900.0058%Direction called correctly80.5
Muse Spark 1.1$75,500.00 to $78,800.0057%Direction called correctly80.5
Grok 4.5$76,200.00 to $78,200.0038%No directional call52.9
Gemini 1.5 Pro$75,500.00 to $78,500.0070%Direction called correctly82.1

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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