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A crowding model using the Bitcoin ETFs

Fund flows and price action as a tool for risk analysis

Ecoinometrics

Jul 15

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What if I told you that Bitcoin ETFs aren't just another way to buy Bitcoin?

For those who dig into the data, they're a window into what other investors are doing.

This information is gold. It can help spot times when Bitcoin's price hits extremes. When a trade gets too crowded, it's often a good bet that things will balance out soon.

Today, we're building a crowding model for Bitcoin using ETF fund flows. It's a simple tool that could give you an edge in spotting potential market turns.

Curious? Let's dive in and see how this model works.

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A crowding model using the Bitcoin ETFs

The takeaway

Our Bitcoin crowding model combines RSI (price momentum) and ETF fund flows (investor sentiment) to assess market risk.

RSI above 70 or below 30 signals potential price reversals. ETF flows show real money movement, especially from institutions.

The model plots RSI against normalized fund flows. Clustering in corners suggests increased reversal risk.

Currently, Bitcoin's market shows no abnormal crowding.

Use this as a risk assessment tool, not a price predictor. Combine with other analyses for better market understanding.

Regular monitoring helps spot potential turning points and manage risk effectively.

Read on for the explanation of the model and the charts.

A framework to spot crowded trades...

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