Bitcoin Rallies into the Weekend as MicroStrategy May Raise $500M to Buy BTC

CryptoPotatoPubblicato 2022-09-10Pubblicato ultima volta 2022-09-10

Introduzione

Even without Michael Saylor as CEO, MicroStrategy seems determined to continue purchasing BTC.

The largest corporate bitcoin holder has filed a new filing with the US Securities and Exchange Commission that will essentially allow it to purchase more BTC for up to $500 million.

The news comes as the cryptocurrency surged past the $20,000 level and jumped to a new two-week high.

The filing with the securities regulator shows that MicroStrategy plans to sell up to $500 million worth of its stock for “general corporate purposes, including the acquisition of bitcoin.”

Interestingly, the market reacted quite positively to this filing, with MSTR price surging by more than 10% on Friday to over $260 per piece.

Bitcoin’s price has also seen an uptick in the past few days. The asset had tumbled to a 6-week low at $18,500 during the week but reclaimed the $20,000 early on Friday.

The start of the weekend brought even more positivity to the bulls as BTC jumped to a two-week high above $21,500, perhaps fueled by MicroStrategy’s plans.

Looking from the company’s perspective, this filing comes at a compelling time. As usual, there were rumors that the firm had begun disposing of its bitcoins (and, as usual, wrong ones) after Michael Saylor stepped down as CEO.

Once that happened, MicroStrategy reassured that it will continue accumulating BTC but is yet to do so officially.

The last company purchase came at the end of June – worth $10 million. It’s also worth noting that the business intelligence software giant sits on a massive unrealized loss on its bitcoin holdings.

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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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