What is the Correlation of your Trading Strategy and the Market?

Market Correlation is a topic that’s been covered extensively before this post. The correlation between assets within an asset class or even the correlation between trading strategies themselves. Correlation can take many forms.

Darwinex created an Investible Attribute called, you guessed it, Market Correlation. This Investible Attribute doesn’t measure the correlation between strategies or assets.

Instead, it measures the correlation of the Strategy and the underlying market.

Intrigued? Thought you might be.

Suppose the performance of your trading strategy starts to decay. In that case, the higher-level performance metrics mentioned in the previous posts do little to ascertain the route cause for the change in performance.

SQN, D-Score, Sharpe ratio can all tell you how well a strategy is doing. However, what they can’t do is tell you what part of the Strategy is causing a decrease in performance.

The SQN won’t tell you if your entry timing is less effective or if your position sizing is too high, causing increased drawdown. To do this, you need metrics that focus on the key aspects of a trading strategy.

That’s where Darwinexs’ Investible Attributes come in.

Because Darwinex realised that being able to rank various factors of a trading strategy is invaluable for Investors, they created 12 Investible Attributes. Traders can also use these Investible Attributes to analyse the underlying Strategy itself.

The Market Correlation Investible Attribute looks at the correlation between the underlying market and the trading strategy itself. It then ranks how much value the trader is providing.

Let’s explain in more detail.

Let’s say a trader has a long-only stock portfolio. The trader enters longs and then does nothing but sit and wait to see what the market does. If the market is bullish, the stocks go up, and the trading strategy does well.

However, if the market falls, the trading strategy loses money. This scenario would return a low Market Correlation score. The positive or negative return isn’t due to the trading strategy. It’s due to the underlying market being bullish or bearish.

Alternatively, let’s say the trader only longs the same stocks for 3 hours a day at London open. If the stock market declines overall, but the London session tends to open bullish, and the trader can capture these positive returns but avoid the fall of the market overall, the operational decisions of the trader are providing value to investors.

The trader is making decisions to try and outperform the underlying market. This results in the trading strategy having a higher Market Correlation score due to the trader not relying on the directional bias of the underlying market.

(Mc) measures the Correlation of the Strategy with the underlying market. How do you measure the risk of an underlying strategy?

Risk, in general, is a broad topic. There are lots of different types of risk. One of them is associated with the stability of the underlying Strategy, and this is where the Risk Stability investible Attribute excels.

Because the Risk Stability Investible Attribute ranks the consistency of the underlying trading strategy. A low (Rs) score would indicate that the underlying trading strategy has an unpredictable risk profile. Why does this matter?

If a trading strategy has inconsistent trade exposures, this can negatively affect the return distribution. What happens if a higher majority of losing trades have a more significant exposure?

You could have a potentially winning strategy that loses money. This concept was covered in the post about Van Tharp’s R multiples.

By equalising the risk of each trade, you increase the Risk engines ability to stabilise the risk for Investors.

This is a much more robust way of approaching how to size your trades.

Furthermore, a low (Rs) score combined with another Investible Attribute can indicate potentially dangerous trading behaviour. More on this in a future post

Did you know?

Darwinex created a stand-alone risk engine to actively manage the risk of a DARWIN independently of a DARWIN provider (Trader). It is this risk engine, amongst other things, that enables DARWINs to charge performance fees that are paid to the DARWIN Provider.

Did you also know?

You can make use of Darwinexs’ Investible Attributes without having a Darwinex Trading Account. All you need to do is create a free basic account and link your existing trading account from your current broker. Therefore there is no need to deposit any funds, just enter a couple of details, and you’re good to go.

Doing this allows you to analyse all of the Investible Attributes and see what areas of your Trading strategy are potentially hurting your returns.

You can find more instructions on how to do this here.

Brought to you by Darwinex: UK FCA Regulated Broker, Asset Manager & Trader Exchange where Traders can legally attract Investor Capital and charge Performance Fees.

Risk disclosure:

Content Disclaimer: The contents of this video (and all other videos by the presenter) are for educational purposes only, and are not to be construed as financial and/or investment advice.

portfolio diversification strategies

How to Improve your Trading Strategy using R Multiples | Van Tharp

Measuring in R Multiples just makes sense. Let’s look at a couple of alternatives to investigate this bold statement further.


Let’s say you enter 1 lot on EURUSD, and you make 100 pips. Is that good or bad? How do you know? If you risked, say 500 pips, it’s maybe not so good. Remember, pips are only a unit of measure. So they don’t really tell us much about the trade, only that it moved 100 pips in profit.


What about if you entered 1 lot on GBPUSD and it made 2%. Again, profit is nice, but at what risk did you make that 2%. If the SL was 10% and you have a 50% win rate, it won’t be long before the account is empty and you’re left scratching your head.

These basic concepts are missing an essential piece of information, risk. When looking at any trade or trading strategy, you need to consider the risk. Only looking at the returns side of the equation is not enough.

This is where R Multiples comes in.

If you use R Multiples, you can gain further insight into a trades success with the risk you took to get there.

Using the two examples above. A 100 pip trade using 1 lot on EURUSD with a 500 pip SL is only 0.2R. In comparison, that same 100 pip trade is 1R using a 100 pip SL. The return is the same in pips but very different in R Multiples.

Another consideration is that in the pips example, the risk would equate to $5,000 ($10 per lot * 500 pips). In contrast, the risk with a 100 pip SL is $1,000.

If the trade made 2% with an SL set at 10% in the percentage example, the corresponding R is again 0.2R. If you set the SL at 2%, the corresponding R is 1R. Using R Multiples, you can accurately gauge the risk to achieve a potential return.

The risk of these two percentage example trades would be dependant on your account size, but either way, the risk is five times greater using the 10% SL than the 2% SL. But why is this important?

And why R Multiples?

Using R Multiples, you can set the lot size of your trade and level the risk across all trades. This allows you to compare two different strategies. It is fair to assume that a strategy that allows more risk could expect to have increased returns. This increased risk doesn’t mean that the more risky strategy is the better one to choose.

The take-home point of this post is that you need to find a way of levelling the playing field when comparing two very different trading strategies. Van Tharp’s R Multiples combined with Van Tharp’s Expectancy achieves this.

Brought to you by Darwinex: UK FCA Regulated Broker, Asset Manager & Trader Exchange where Traders can legally attract Investor Capital and charge Performance Fees.

Risk disclosure:

Content Disclaimer: The contents of this video (and all other videos by the presenter) are for educational purposes only, and are not to be construed as financial and/or investment advice.