The Surprising Cost of Trading Losses
Last Updated on September 11, 2019 by admin
In light of the recent major drop in crypto markets, it’s important to have perspective on the value of loss protection. We all seek large, profitable trades, but having a system that minimizes losses is surprisingly important. Exiting the market before a major downturn is surprisingly beneficial.
There will likely be some excellent crypto buying opportunities in the near future, but hopefully this post gives you perspective on keeping your losses in check as these opportunities are tested.
Also Read: How to Short Bitcoin for Crypto Traders
The True Math of a Trading Loss
Solid knowledge of math is a something active traders should have. The true cost of a loss is just such one point. Here’s a great illustration of the cost to recover from losses:
Why is this?
Equal percentage gains and percentage losses are not, in fact, equal. This may sound confusing, but again consider an investor with $100,000. If the investor loses 25%, the portfolio value is only $75,000. A 33% gain ($25,000/$75,000) is then needed to regain the original 25% loss. (source: See It Market)
In fact, this math is the exact reason the Crypto-ML.com trade results are so good. The machine learning models limit losses and carry gains. As the money rolls forward, it accumulates and takes on a snowball effect. If you don’t keep your losses in check, the snowball effect works in reverse.
Crypto-ML as a Loss-Protection Tool
Prior to the huge crypto market drop this month (November 2018), Crypto-ML issued sell alerts and short signals to its customers.
If you took advantage of the short signals, you captured a 40.5% gain in just 18 days (see short-sell trade history).
But even if you didn’t short sell, the loss protection alone is hugely valuable. Rather than having to overcome huge losses when the markets turn, you’ll instead be in a great position to capitalize on rebound gains.
Regardless of what you trade, ensure your system helps protect you from large losses. Apart from the math shown in this post, be sure to check out Crypto-ML Trade History to see how the snowball effect can work when you limit losses and let gains run.
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