Trading Strategy Analysis using Darwinex’s Investible Attributes

The last post showed how to create a free user account to use Darwinex’s Investible Attributes for Trading Strategy Analysis. Before diving into this further, it’s vital that you know the basics to allow you to get the most from these tools. 

Firstly, you need to create a free basic account and link your existing trading account from your current broker. To Link your trading account, you can follow this guide.

Once you’ve completed a few simple steps, you’ll be able to analyse the linked account within 24-48 hours

Next, you’ll need to familiarise yourself with what each of the Investable Attributes cover. We’ll be covering these in detail, so keep your eyes on social media for updates. 

Should you decide that you want to compete for a share of Darwinex’s Prop allowance called DarwinIA, you’ll need to create a funded account with Darwinex.

Darwinex invests up to €45 million every year in the top 120 traders. Darwinex announces new allocations monthly, and the allocation is for six months.

As an example, NWO currently has €462,000 of DarwinIA capital allocated to it. 

This allocation is only available to Darwinex clients who have created a DARWIN. A further benefit of having a DARWIN is commission rebates. If your DARWIN achieves a 60+ D-Score at month-end, you’ll get a 40% reduction in commissions on ALL trading accounts. 

Back to the Trading Strategy Analysis

Deciding on the best entry and exit times is often an overlooked variable. If you use Trading Indicators, it’s hard to know if an earlier or later entry or exit would improve performance. 

Darwinexs’ Open Strategy/Close Strategy Investible Attributes have you covered. The (Os/Cs) IAs run a what-if scenario on each trade. What would the trade outcome be if I entered/exited earlier or later? 

I run a strategy that uses overbought/sold signals from a MACD; timing adjustment won’t help me. 

True, you can’t directly adjust your timing to an earlier entry. But you can Investigate other parameters within the indicator to see if changing the variables in line with earlier or later entries provides any benefit. If it appears your entering too early, you could delay entry after the signal is received. 

The (Os/Cs) IA excels in analysing time-based strategies entries, such as exploiting seasonality effects.

Let’s run a hypothetical scenario. 

The hypothesis of this strategy looks to open a momentum trade on EURUSD at London open and close at London close. If at 8 am Price is above the 20 SMA on the hourly chart, it goes long. If it is below, it goes short. The trade closes at 4:30 pm. 

In this scenario, the (Os/Cs) IA will rank the quality of entry/exit compared to simulated alternatives. The trade duration is 510 mins (8.5 hours x 60 mins).

The simulation runs ten alternatives in 10% increments of the trade duration (51 mins) from -50% to 50% on both the open and close time. 

So in this example, 7:09, 6:18, etc.

This simulation allows you to clearly and quickly see if your entry/exit times are optimum. You could monitor this monthly and try to forecast changes in the market, allowing you to adjust accordingly.

Alternatively, you could use this information to adjust entries and exits.

The purpose of using the Investible Attributes for Trading Strategy Analysis is to provide you with different levels of easily accessible and digestible trading information to allow you to make informed trading decisions

Whether you use these metrics to inform trading decisions or just use them as a filter to priorities your research effort. They’re available to you should you choose to use them. 

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:
https://www.darwinex.com/legal/risk-disclaimer


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.

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