Price forecast with min, average and max ranges - Updated in real-time
AKT • #132
$0.7207
Real-time data
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BUY
Akash Network • 6/13/2026
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Relative Strength Index
Overbought
AKT • Momentum
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Moving Average Convergence
BULLISH
Buy signal
AKT • Trend
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Akash Network
Current: $0.7207
cryptooraculo.com
Akash Network
Current: $0.7207
cryptooraculo.com
Akash Network
Current: $0.7207
cryptooraculo.com
Akash Network
Current: $0.7207
cryptooraculo.com
Akash Network
Current: $0.7207
cryptooraculo.com
Akash Network
Current: $0.7207
cryptooraculo.com
Akash Network
Current: $0.7207
cryptooraculo.com
Akash Network
Current: $0.7207
cryptooraculo.com
Akash Network
Current: $0.7207
cryptooraculo.com
Akash Network
Current: $0.7207
cryptooraculo.com
Akash Network
Current: $0.7207
cryptooraculo.com
Akash Network
Current: $0.7207
cryptooraculo.com
Akash Network
Current: $0.7207
cryptooraculo.com
Akash Network
Current: $0.7207
cryptooraculo.com
Market metrics
cryptooraculo.com
This content is informational.
Does not constitute financial advice.
Highly volatile crypto market.
DYOR
Do Your Own Research
Invest responsibly
cryptooraculo.com
According to our algorithmic technical analysis, Akash Network shows a strong bullish trend. The current price is $0.7207 with a change of +15.06% in the last 24 hours.
Price predictions: For this week we expect a range between $0.7277 and $0.7310. For 2027, the price could reach between $0.7789 and $0.8788, with an estimated average of $0.8288.
The Akash Network forecasts on this page are not generated by a black-box AI. They combine three transparent statistical inputs: (1) a log-CAGR specific to the asset's market-cap tier, calibrated on prior bull and bear cycles; (2) a sinusoidal modulation centred on the April 2024 Bitcoin halving; and (3) a 30-day realised-volatility cone that widens the range as the time horizon extends.
Each price band you see on the predictions table is the median of the model's posterior distribution, while the min/max edges correspond to the 50th, 74th and 90th percentiles. This means roughly 9 out of 10 historical observations land inside the wide band — but past performance does not guarantee future returns, and a sufficiently disruptive event (regulation, exchange collapse, macro shock) can push price outside the band on either side.
Every assumption powering the Akash Network model — CAGR per tier, halving offset, volatility decay — is documented and citable. Verify the math yourself.
Price, market cap and 24h volume refresh from your browser every 60 seconds via CoinGecko/Binance public APIs. No stale numbers.
Need to know how much Akash Network costs in USD, EUR or ARS right now? Use our live converter — same data, same refresh cadence.
Akash Network can lose 50-90% of its value in bear cycles. Forecasts are probability bands, not guarantees. Always size positions conservatively.
CryptoOráculo is an educational analysis platform. We do not provide investment advice, custody funds or execute trades. Information presented is for research purposes only. DYOR.
About AKT
Akash Network (AKT) is a digital asset currently ranked #132 by market cap. As with any cryptocurrency, prospective participants should evaluate the project's whitepaper, on-chain activity, developer team and treasury health before exposure. The Oracle target ranges on this page combine a tier-specific CAGR model with the Bitcoin halving cycle adjustment.
Use case
Akash Network (AKT) is an actively traded cryptocurrency ranked #132 by market capitalization.
Recommended reading
Educational information: not financial advice. Do your own research (DYOR).
As of today, Akash Network (AKT) trades at $0.720735, with a 24-hour move of +15.06%. Our algorithmic Oracle combines technical indicators (RSI, MACD, Bollinger Bands), the Bitcoin halving cycle and per-asset volatility beta to project price targets across 1 month, 12 months and 5 years. Below we walk through exactly why the Oracle reaches the figures shown above.
Akash Network (AKT) operates at rank #132 (top-200), a "mid cap" universe with amplified moves (2x-3x BTC) and higher sensitivity to sector flows. It belongs to the crypto-AI sector: combines blockchain with AI models, decentralised compute or data marketplaces. Catalysts: OpenAI/Anthropic/Google hype, the "AI on-chain" narrative, and real demand for decentralised GPUs/inference. Highly volatile sector with premium valuations in bull markets. Today the asset trades at $0.720735 with a 24-hour move of +15.06%, providing real-time context for the technical model below. Tokens in the same tier (top-200) tend to amplify Bitcoin movements by 1.2x to 2x on both sides — this is the empirical baseline our Oracle uses when projecting bull and bear scenarios.
If sentiment turns risk-on and BTC dominance compresses, Akash Network could test the 12-month target of $1.44. The path of least resistance opens above the upper Bollinger band with volume confirmation.
In a risk-off rotation or fresh regulatory shock, Akash Network could revisit $0.468478 (Bollinger lower band / cycle support). Below that, drawdowns of 50-70% from recent highs are historically frequent across the asset class.
Risks for Akash Network: high volatility, 60-85% drawdowns are common and capital rotation is fast. Additional considerations: regulatory uncertainty in major jurisdictions (US SEC, EU MiCA, UK FCA), exchange concentration risk, smart contract risk if the asset is a token (audits do not eliminate exploits), and macroeconomic sensitivity to Federal Reserve policy. Akash Network is not appropriate for capital you cannot afford to lose; size positions according to your risk tolerance and use a long-term DCA strategy to smooth entry points.
The numerical targets above for Akash Network come from a deterministic algorithmic model: logarithmic CAGR with tier-aware decay, Bitcoin halving sine-wave cycle adjusted by per-asset beta (BTC=1.0, ETH=1.2, top50=1.55, longtail=2.0), initial momentum decay (tau=3 months), sqrt(t) volatility expansion and seeded noise so the same input always returns the same output. The model is fully reproducible from public CoinGecko data.