Smart investors don’t just buy dips, they dollar-cost average

Choppy markets have defined the crypto space since Bitcoin (BTC) sold off on April 19, and indecisive markets like these can test the patience and fortitude of even the most dedicated traders and analysts, especially when the incessant calls for a bottom are met with lower lows.

While the periods of low trading volume and whipsaw price movements may be the perfect conditions for whale-sized traders to play in, the average investor doesn’t stand a chance, especially with multimillion-dollar funds now beginning to get in on the action.

Data shows that instead of day trading and attempting to time the market bottom, dollar-cost averaging (DCA) is the best method for retail investors looking to build long-term profits in both traditional and crypto markets.

In 2020, Coin Metrics pointed out that investors who dollar-cost averaged into BTC starting from the December 2017 peak were still in profit three years later.

Coin Metrics tweeted:

“Despite #Bitcoin is still trading 30% below ATHs, dollar cost averaging from the peak of the market in Dec 2017 would have returned 61.8%, or 20.1% annually. Similarly for #Ethereum (still down 71% from its peak), dollar cost averaging from Jan 2018 would have returned 87.6%, or 27.9% annually.”

Graph illustrating positive BTC returns from dollar-cost averaging. Source: Coin Metrics

While the graph is a little dated now, one can see that over the long term, consistent investments spread over time have led to an overall increase in portfolio value.

Currently, with BTC down more than 47% from its all-time high of $64,863 and the cryptocurrency market continuing to send mixed signals, it may be an opportune moment to deploy the DCA strategy.

There’s more to investing than just “buying the dip”

Let’s take a look at the results of dollar-cost averaging into multiple cryptocurrencies from 2017–2018 through the end of June 2021.

The starting point for each analysis will be the day of the token’s 2017–2018 bull market all-time…

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