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Bitcoin Rallies 5.4% to $76,976 as Treasury Policy Fuels Crypto Gains

August 23, 2026
04:01 AM
3 min read

Key Points

Bitcoin surged 5.4% to $76,976 on Treasury policy and deficit spending.

RSI at 81.01 and Stochastic at 91.61 signal extreme overbought conditions.

Trading volume hit 43.88 billion, 59% above 30-day average.

Meyka forecasts $60,901 in one month but $96,695 within 12 months.

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Bitcoin surged 5.4% to $76,976 in the past 24 hours, adding $3,963.82 to its price as gold and crypto rallied on US government debt policy. Record deficit spending and the Treasury Department’s pledge to double debt buyback operations to $4 billion fueled the move, according to market analysis. The rally reflects broader macro sensitivity to inflation and monetary policy shifts.

Why Bitcoin and gold rallied together on Treasury policy

Bitcoin and gold both hit their highest levels since May 15 against the US dollar, with BTC up 5.4% and gold up 2.2% on the day. The Kobeissi Letter attributed the rapid gains to inflation, deficit spending, and US Treasury policy. Record government deficit spending combined with the Treasury’s pledge to at least double debt buyback operations to $4 billion drove both asset classes higher, signaling investor demand for inflation hedges.

Technical indicators show overbought conditions across multiple signals

Bitcoin’s RSI stands at 81.01, well into overbought territory above 70, while the Stochastic oscillator reads 91.61 percent K, indicating extreme momentum. The MACD histogram at 1,295.11 shows strong bullish separation, and the ADX at 25.44 confirms a strong trend. Price sits above the upper Bollinger Band at 72,434.55, suggesting the move has extended beyond normal volatility ranges and may face pullback pressure.

Meyka forecasts show divergent near and long-term outlooks

Meyka’s one-month forecast of $60,901.03 implies a 20.9% decline from current levels, while the 12-month forecast of $96,695.34 suggests a 25.6% gain. The wide gap reflects uncertainty about whether the current overbought rally sustains or corrects sharply. Forecasts may change due to market conditions, regulations, or unexpected events.

Volume surge and cross-asset signals point to macro-driven moves

Trading volume hit 43.88 billion, 59% above the 30-day average of 27.63 billion, indicating strong participation in the rally. QCP Capital noted that Treasury announcement divergence showed BTC and gold retracing less than Treasuries, highlighting sensitivity to monetary regime shifts. The Money Flow Index at 71.76 confirms strong buying pressure across the market.

Final Thoughts

Bitcoin’s 5.4% rally reflects macro forces rather than coin-specific news, with overbought technicals suggesting caution despite the strong move. The divergence between Meyka’s near-term and long-term forecasts signals traders should watch for consolidation or pullback after this extended run.

FAQs

Why did Bitcoin jump 5.4% on August 22, 2026?

US Treasury policy changes and record deficit spending drove Bitcoin and gold higher as investors sought inflation hedges.

Is Bitcoin overbought right now?

Yes. RSI at 81.01, Stochastic at 91.61, and price above upper Bollinger Band all signal overbought conditions.

What is Meyka’s Bitcoin price forecast for one month?

Meyka forecasts $60,901.03 in one month, implying a 20.9% decline from current $76,976.82 levels.

How much volume did Bitcoin trade on August 22?

Volume hit 43.88 billion, 59% above the 30-day average, showing strong participation in the rally.

Disclaimer:

Cryptocurrency markets are highly volatile. This content is for informational purposes only. The Forecast Prediction Model is provided for informational purposes only and should not be considered financial advice. Meyka AI PTY LTD provides market data and sentiment analysis, not financial advice. Always do your own research and consider consulting a licensed financial advisor before making investment decisions.

About Author

Author

Huzaifa Zahoor

Co Founder

Huzaifa Zahoor is the engineer who built Meyka. He has spent years writing Python, training AI models, and building data pipelines specifically for financial markets. His technical articles have reached over 30,000 readers on Medium, so he knows how to make complex things easy to follow. If this article touches on how the tools work, he is the person who actually built them.

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