Day Trading Bitcoin: Why 95% of Traders Lose Money and Fail

Image for post
Image for post

MARKET ANALYSIS

Almost all traders are aware of the widely publicized statistic that “95% of traders lose money.” When you drill deeper, research implies that this number is likely higher. The profession chews up and spits out aspiring traders at an astounding rate.

So why are so many intelligent people drawn to a profession with incredibly high odds of failure?

Image for post
Image for post

6 striking stats showing traders have it rough

The truth is, day trading is extremely difficult, emotionally taxing and far more likely to destroy your life than enrich it.

Let’s start with a few key statistics, from online educational resource Tradeciety:

  1. 80% of all day traders quit within the first two years;
  2. Among all day traders, nearly 40% day trade for only one month;
  3. Within three years, only 13% continue to day trade. After five years, only 7% remain;
  4. The average individual investor underperforms a market index by 1.5% per year;
  5. Active traders underperform by 6.5% annually;
  6. Traders with up to a 10 years negative track record continue to trade.

The last point suggests that day traders even continue to trade when they receive a negative signal regarding their ability.

Astounding. Almost everyone loses, they lose fast, they underperform simple, mindless investments, and they continue trading even after being proven unprofitable. Why?

The truth is, most would-be traders are woefully underprepared for the challenge ahead and learn many hard lessons with their real money. They underestimate the psychological challenges of trading and fail to eliminate emotion from their trades.

They fail to trade with a defined system. When they have a defined system, they often take trades outside of their own, established rules. These are all obvious reasons.

What is “random reinforcement”?

Using arbitrary events to qualify (or disqualify) a hypothesis or idea; attributing skill or lack of skill to an outcome that is unsystematic in nature; finding support for positive or negative behaviors from outcomes that are inconsistent in nature — like the financial markets.

The market has a tendency to reward bad habits, while concurrently punishing positive behaviors, especially with a small sample set. Let’s take a theoretical example to display this principal.

Bob wants to leave his job and become a crypto trader. He sets aside some starting capital, follows the markets and the “big names” on twitter. He sees them talking about an altcoin, opens the chart and sees that price is rising fast. He buys, goes to take a shower, returns and sells for a quick profit. He does this again before lunch and strings together a few successful trades. Bob starts to feel confident that he is a talented trader.

So what is the problem? Bob is trading without a system or a plan and is being fooled into believing that a successful outcome on a few random trades is indicative of likely success moving forward. The market has rewarded his bad behavior. We know how this story ends — Bob continues to make impulsive trades and eventually loses his capital.

There is a flip side to this coin. Let’s say that Bob learns his lesson and spends months developing a trading plan, complete with risk management, proper portfolio allocations and trading rules.

He identifies a trading opportunity that fits, takes the perfect entry and… stops out of his trade. He tries again. And again. He loses 7 times in a row. The market is punishing Bob for his good behavior. Bob starts to doubt his system and takes a high-risk trade that violates his system — and is successful. To his surprise, he tries this a second time and also makes money. Bob is now back to square one, trading without a system because the market has rewarded his bad behavior.

Through random reinforcement, the market has re-conditioned the way Bob approaches trading by distracting him away from his trading plan. He has allowed himself to be manipulated into an impulsive, high risk, revenge based trading approach.

Everyone was a genius in 2017

Amateur traders were making money hand over foot by simply throwing cash into random altcoins and selling after massive, immediate gains. Everyone was a “genius” in the 2017 crypto market. Then 2018 happened — the bubble popped, and these amateur traders were ill-prepared to deal with the drawdown. They failed to sell their assets and held blindly until they had lost everything.

Understanding that markets are dynamic and in constant flux is key to being profitable. A trader must learn to be able to determine when a certain string of losses or profits can be attributed to their skill and when it is random. This is done by trading with a defined plan over a long period of time.

Every trader should have a well developed and tested (through paper trading) plan, with written rules for entries, exits and stop losses, position sizing and risk. They should NEVER trade outside their plan.

Bitcoin trading: sticking to your plan

A good trade should be defined as one where a trader planned their trade, traded their plan and managed their risk — those are all elements they can control. It is NOT defined by the outcome.

A bad trade, on the other hand, is where a trader fails to follow their rules and executes trades against their better judgment. This is always going to be a bad trade even if it happens to be profitable.

By developing a well-tested plan, traders can overcome the pitfalls of random reinforcement, eliminate emotion and impulse, and learn to be profitable. That’s how you become a part of the 5% that make it as traders.

Image for post
Image for post

By Scott Melker

Source

Disclaimer

Written by

WORLDS FIRST SECURE, INTERFERENCE-FREE, COMMUNICATIONS SYSTEM TO PROTECT YOUR PRIVATE DIGITAL ASSETS AND DATA.

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store