How to Compute Winrate in Crypto Trading

Winrate refers to the success rate on a daily basis in trading.

In the dynamic world of crypto trading, understanding key metrics can be the difference between profit and loss. At its core, trading involves balancing between the risks taken and the rewards sought. This balance is often quantified using the Risk-Reward Ratio (RRR). 

For example, an RRR of 1:2 means you're willing to risk $100 to potentially gain $200. But trading isn't just about potential gains; it's also about consistency, as highlighted by the Win/Loss ratio. This ratio tells us how many of our trades are profitable compared to those that aren't.

Many traders, especially newcomers, face challenges. Some common pitfalls include:

1. Overemphasis on Winrate: A high winrate is undoubtedly a good sign, but it doesn't guarantee profitability. As demonstrated in our Bitcoin example, even with a winrate of just 40%, a trader can still be profitable if they maintain a strong RRR.

2. Lack of Strategy Discipline: Many traders deviate from their strategies, making impulsive decisions based on emotions, leading to unpredicted losses.

3. Neglecting Continuous Learning: The crypto market is ever-evolving. Not staying updated with market news and trends can result in missed opportunities or unexpected losses.

In essence, successful crypto trading requires a blend of strategic planning, disciplined execution, and ongoing learning.

1. What is Winrate?

Winrate refers to the success rate on a daily basis in trading. It's calculated by taking the number of winning days, dividing it by the total number of trading days, and then multiplying the result by 100.

Formula: Winrate =(Number of winning days / Total number of trading days) × 100

Example:

If you had 18 winning days out of 30 trading days:

Winrate = (18 / 30) × 100 = 60%

This means you have a "60% winrate".

However, a high winrate doesn't necessarily imply profitability. Let's understand this with an example:

2. Winrate Vs. Profitability

Imagine a scenario where:

You win $10 each day for 6 days: 6 \times $10 = $60 (Profit from winning days)

You lose $30 each day for 4 days: 4 \times $30 = $120 (Loss from losing days)

Net Profit/Loss (PNL):

PNL = Profit from winning days - Loss from losing days = $60 - $120 = -$60

This means that despite a 60% winrate, you're still at a loss of $60.

3. Risk-Reward Ratio

The risk-reward ratio is vital in ensuring that your potential reward in trading always surpasses your potential risk. By maintaining a favourable risk-reward ratio, you can ensure profitability even if your winrate isn't exceptionally high.

The Risk-Reward Ratio (often abbreviated as RRR) is a measure used by traders to compare the potential profit of a trade to the potential loss. It's a way to quantify the balance between the risk taken and the reward expected.

The ratio is typically expressed as a figure like 1:2, 1:3, or 2:1. Here's how to interpret these:

1:2 RRR: For every $1 you're willing to risk (potential loss), you're aiming to make $2 in profit.

1:3 RRR: For every $1 risked, your target profit is $3.

2:1 RRR: You're risking $2 to potentially make $1.

Why is the Risk-Reward Ratio Important?

Profitability Over Time: 

Even if a trader wins only half the time (or less), a high RRR ensures that the gains from winning trades significantly outweigh the losses, leading to profitability in the long run.

Trade Evaluation: 

It helps traders assess the viability of a trade. If the potential reward doesn't justify the risk, a trader might decide not to enter the trade.

Money Management: 

By defining the potential loss (risk) beforehand, traders can set stop-loss orders effectively, ensuring they don't lose more than they're willing to on any given trade.


Let's use the previous example to understand the concept better:

Winning Days: You win $10 each day for 6 days. So, the profit per winning day is $10.

Losing Days: You lose $30 each day for 4 days. So, the loss per losing day is $30.

Given this, the Risk-Reward Ratio for each trade (assuming each day represents a trade) is 1:0.33. This means for every $1 you aim to win, you're risking a loss of $3.

From this, it's clear that the trader in this example has a poor Risk-Reward Ratio. Even though they have more winning days than losing days (60% winrate), their losses on the losing days are so significant that they outweigh the profits from the winning days.

To become profitable, the trader would either need to:

1. Increase the profit on winning days.

2. Decrease the loss on losing days.

3. A combination of both.

For instance, if the trader could aim for a 1:2 RRR (risking $10 to make $20), then even with a 60% winrate, they would come out ahead.

4. Win/Loss Ratio

This ratio is different from the winrate. It's the ratio of your winning trades to your losing trades.

Formula:
Win/Loss ratio = Number of winning days / Number of losing days

Example:

If you made 70 trades with 40 winning days and 30 losing days:

Win/Loss ratio = 40 / 30 = 1.33

A ratio:

✅Less than 1 indicates your strategy isn't very effective.

Above 1 suggests that your current strategy is working well.

5. Consistency is Key

While having a high win/loss ratio is commendable, it doesn't guarantee profitability. Being consistent in your trading strategy and reviewing your win/loss ratio frequently is crucial. 

If you find your strategy isn't effective after a set period (like 21 days), it's time to reevaluate and adjust.

Crypto Trading Example: Buying Bitcoin

Scenario:

Imagine you're a crypto trader, and you're trading Bitcoin over a period of 10 days.

Trading Strategy:

You've decided to adopt a strategy where for every trade:

You're willing to lose a maximum of $100 if things don't go your way (this is your 'risk').

You aim to profit $200 if the trade goes in your favour (this is your 'reward').

This gives you an RRR of 1:2.


Day-by-Day Trades:

Day 1: Bought Bitcoin, but the price dropped. Loss: -$100

Day 2: Bought Bitcoin, the price rose in your favor. Profit: +$200

Day 3: Bought Bitcoin, but the price dropped again. Loss: -$100

Day 4: Bought Bitcoin, the price rose. Profit: +$200

Day 5: Bought Bitcoin, the price dropped. Loss: -$100

Day 6: Bought Bitcoin, the price dropped again. Loss: -$100

Day 7: Bought Bitcoin, the price rose. Profit: +$200

Day 8: Bought Bitcoin, the price dropped. Loss: -$100

Day 9: Bought Bitcoin, the price dropped again. Loss: -$100

Day 10: Bought Bitcoin, the price rose. Profit: +$200


Analysis:

Winrate: Out of 10 trades, 4 were profitable. 

This means a winrate of 4 / 10 × 100 = 40 %

Win/Loss Ratio: You had 4 winning days and 6 losing days. 

The ratio is 4 / 6 = 0.67


Net Profit/Loss:

Total from winning days: 4 \times $200 = $800

Total from losing days: 6 \times $100 = $600

Net Profit: $800 - $600 = +$200


Even though the winrate was less than 50% (only 40%), due to the favourable Risk-Reward Ratio of 1:2, you still ended up with a net profit of $200 over the 10 days.

This example demonstrates that even with a winrate below 50%, a trader can still be profitable if they maintain a strong Risk-Reward Ratio. It emphasizes the importance of managing your risk and ensuring that when you win, you win more than what you lose.

6. Final Thoughts

Remember, there's no perfect trading strategy. The aim is to find what works best for you and refine it over time. 

Focusing solely on the winrate can be misleading, and it's essential to consider other factors like the win/loss ratio and risk-reward balance. Don't be a gambler in trading; discipline and analysis are your best allies.

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