Trends and Reasons Behind BTC and ETH Movements over the Past Month | Powerdrill Bloom Use Case
Joy·
I've been following the crypto market for years, but making sense of Bitcoin (BTC) and Ethereum (ETH) price movements has always been a challenge. The information is scattered across charts, on-chain data, news headlines, and macroeconomic reports. Trying to piece it all together manually felt like chasing shadows.
That changed when I started using Powerdrill Bloom. Instead of drowning in spreadsheets and endless tabs, I could load my data into Bloom and let its AI-driven exploratory analysis highlight the most meaningful trends. Over the past month, I’ve used Bloom to track BTC and ETH — and it helped me uncover not just what moved, but why it moved.
Before using Bloom, I had to go through the tedious process of hunting down datasets from different sources — price histories, trading volumes, macro reports — and then cleaning and formatting them just to get started. Traditional BI tools only made things harder: endless dashboards, complex filters, and hours of manual charting before I could even ask a simple question.
With Bloom, I finally skipped that overhead. I jumped straight into exploratory analysis by asking questions directly: about daily BTC price swings, trading volumes, and the effects of inflation data or Fed updates. For Ethereum, I asked Bloom about network activity and gas fee patterns. Instead of endless prep work, Bloom instantly responded with clear explanations and visual insights that helped me understand the bigger picture.
The way to use Powerdrill Bloom is super simple.
The focus was simple: Understand the past month's crypto market movements through both numbers and context.
Select Start from a topic and choose the topic you're interested in or enter your own topic, and click Start Research.
Here we use the second sample topic as an example:
Analyze the trends and reasons behind BTC and ETH movements over the past month.
Then, select the option that best suits your needs as prompted.
The option we choose in this example is:
Fundamental Analysis Focus: Examine major market events, regulatory news, and macro-economic factors affecting cryto prices.
And then all you need to do is take a coffee break and wait for Bloom to explore, analyze, and arrange data for you.
Here's the results:
This node analyzes how $4B ETF inflows and whale accumulation patterns drive BTC-ETH correlation and price movements.
Flow Ratio
Ethereum ETFs attracted $4B in inflows while Bitcoin ETFs experienced $751M outflows, creating a 5.3:1 flow advantage for ETH. This massive institutional preference shift directly supported ETH's 25% gain over 30 days compared to BTC's 6% monthly decline, marking the first time institutional flows favored ETH over BTC at this scale since ETF launches.
Whale Growth
Ethereum added 48 new whale addresses holding 10,000+ ETH compared to Bitcoin's 13 new whale addresses in August 2025. This 3.7:1 ratio demonstrates institutional money managers increasingly viewing ETH as a superior long-term holding due to its staking yield potential (4-6% annual) versus BTC's pure store-of-value proposition with no yield generation.
Base Correlation
BTC-ETH maintained a strong 0.89 correlation coefficient in 2025, but August institutional flows created significant deviation periods. The traditional high correlation reflects shared market sentiment and regulatory factors, but institutional ETF flows introduced new dynamics that temporarily decoupled price movements, particularly during the $4B ETH inflow period versus BTC outflows.
This node investigates why ETH outperformed BTC (36% vs 18% YTD) despite similar technical setups and RSI patterns.
RSI Divergence
While both assets maintained similar RSI levels around 70 in late August, Bitcoin's RSI dropped to 35 after the whale sell-off, indicating stronger technical resilience in ETH. ETH's RSI stability during corrections demonstrates better support levels and reduced selling pressure compared to BTC's more volatile technical indicators during market stress periods.
ETF Flow Reversal
Ethereum ETFs accumulated $12.1B in AUM while Bitcoin ETFs faced $1.1B outflows, marking the most significant capital rotation in crypto history. BlackRock's ETHA alone captured $300M in August, demonstrating institutional preference shift from store-of-value to utility-driven cryptocurrency exposure through regulated investment vehicles.
Staking Yield
Ethereum's staking rate reached 29.4% with 3-5% yields, providing sustainable income generation that Bitcoin lacks. This yield component attracts institutional investors seeking cash flow from cryptocurrency holdings, creating fundamental demand independent of speculative trading patterns and contributing to ETH's price resilience during market corrections.
This node examines how DEX volume surge ($139B ATH) and liquidation events ($900M) affect BTC-ETH correlation strength.
DEX Volume Impact
Ethereum's record DEX volume of $139.63 billion in August 2025 created differentiated price action versus Bitcoin, reducing traditional correlation from typical 0.7-0.8 range to approximately 0.3-0.5 during peak volume periods. This decoupling occurred as DEX-specific activity drove ETH-centric demand patterns independent of Bitcoin's institutional flows, demonstrating how infrastructure maturity creates asset-specific momentum that can override broader market correlation trends.
Liquidation Magnitude
The August 2025 liquidation cascade involved $900M in total forced closures, with $126M specifically in BTC positions, creating the largest single-month liquidation event since 2022. This scale triggered automatic correlation spikes to 0.88 as algorithmic selling programs activated simultaneously across both assets, demonstrating that extreme volume events still override individual asset fundamentals and create temporary unified market behavior regardless of underlying DEX/CEX volume distribution.
DEX Market Share
DEX now commands 29% of total spot trading volume, representing a structural shift from centralized venues that historically drove uniform correlation patterns. This infrastructure evolution creates asset-specific trading dynamics where ETH benefits from native DEX advantages while BTC remains more CEX-dependent, leading to fundamental correlation breakdown during normal market conditions and explaining why baseline correlations have declined from historical 0.7-0.8 levels to current 0.3-0.5 range.
What I’ve shared here is just a first layer of exploration — a glimpse into how BTC and ETH have been moving and why. There’s much more to uncover. In Bloom, you can click Ask more on the parent node to follow up with targeted questions, or click Dig deeper on a specific node to break it down by drivers (volume, gas, staking, macro news) or extend the time window.
Chain a few Ask more prompts, pivot with Dig deeper, and see where the analysis takes you. If you’re curious to go further, jump into Bloom and explore your own angles.