Crypto Analyst Says Bitcoin Could Triple in Price to $63,000 Before Next BTC Halving

dailyhodlPubblicato 2022-11-01Pubblicato ultima volta 2022-11-03

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The popular crypto analyst and host of the InvestAnswers YouTube channel says that Bitcoin (BTC)...

The popular crypto analyst and host of the InvestAnswers YouTube channel says that Bitcoin (BTC) could easily go on a 3x rally before the next halving event.
In a new strategy session, the analyst tells his 444,000 YouTube subscribers that strong BTC rallies usually precede Bitcoin’s halvings, an event when miners’ block rewards are cut in half and therefore crunching future supply.

According to the analyst, historical precedence based on the halving dates places BTC around the $63,000 level by March of 2024, which would be more than a 200% gain from current prices.
“Historically, Bitcoin begins to rally 15 months before the next halving. The next halving is expected April or May 2024 – lots of rumors flying around it could happen in December of 2023, depending on the actual timing of the bocks if it goes to less than 10 minutes. I’m still sticking with the April timeframe, 2024. 
November 2022 is 15 months away from that halvening date… Bitcoin tends to finish 39% from where it traded 24 months prior to the halving, and that would imply March 2022 at $45,538 times one plus 39% [($45,538* (1+39%)]… That should take us to $63,160 by March 2024. 
And remember that is not the end of it. After the halvening is when the real action happens. But before, there is a run. So just think about that. Fifteen months from now is a little more than a year and a quarter, not a long time. Bitcoin can triple and then can do a lot more after that.”

Source: InvestAnswers At time of writing, BTC is changing hands for $20,507, flat on the day.

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Bitcoin Trading Strategy Breakdown: Celebrity Predictions and Classic Models All Fail, Only These Four Indicators Remain

Analysis of Bitcoin Trading Strategies: Why Celebrity Forecasts and Classic Models Fail, Leaving Only These Four Reliable Indicators This analysis examines the failure of common Bitcoin prediction methods and identifies four reliable indicators for constructing a trading strategy. The author reviewed all major BTC prediction approaches from 2017-2025, categorizing them into three groups: celebrity price targets (consistently over-optimistic), analytical models like Stock-to-Flow (broken post-2022), and on-chain signals. The key finding is that more data often creates confusion, not clarity. The strategy discards unreliable elements: celebrity predictions (incentivized to be extreme), pure models (invalidated by post-ETF market changes), and the Fear & Greed Index used alone (too many false signals). Four reliable indicators were selected: 1. **MVRV Z-Score:** Accurately identifies cycle bottoms when entering its green zone (e.g., 2018, 2020, 2022). Note: Its ability to call tops is now ineffective post-2024. 2. **SOPR (28-day MA):** Consistently signals bottoms when below 1.0, indicating holders are selling at a loss. 3. **ETF Net Flow:** A crucial post-2024 metric showing institutional momentum (e.g., sustained inflows = buying). 4. **Macro Liquidity (Fed policy & M2):** Sets the overall directional bias (e.g., bullish during easing cycles). The core strategy involves waiting for a multi-signal共振 (resonance). For example, a bottom signal requires MVRV in the green zone + SOPR < 1.0. A top signal requires overheated on-chain data + sustained ETF outflows. Macro policy sets the overall direction. The Fear & Greed Index is only used as a weighted confirmatory signal, never alone. Action is only taken when three or more indicators align. The author automated this into a monitoring system that sends Telegram alerts only when signals trigger. As of the article's date (April 15, 2026), the system showed a strong bottom signal: extreme fear (F&G=12), MVRV in the buy zone, and SOPR < 1.0. The only contrary signal was weak ETF flows. Historically, such triple on-chain共振 has preceded 100%+ returns. The conclusion emphasizes building a personal framework over relying on external predictions, allowing for iterative improvement and customization based on individual risk tolerance.

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Bitcoin Trading Strategy Breakdown: Celebrity Predictions and Classic Models All Fail, Only These Four Indicators Remain

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