Within the first part of this weblog, the notion of diversifying a portfolio following a correlation matrix was briefly launched. Primarily based on this idea, the choice was made to assemble a portfolio for the NEXUS professional advisor.

For these unfamiliar, this professional advisor represents a grid averaging system with lot multiplier. It’s essential to acknowledge that this method entails inherent dangers.

Due to this fact, within the improvement of this portfolio, 8 symbols have been chosen for an account of 200,000 euros. Every of them was allotted an equitable distribution of the steadiness, i.e., 25,000 euros per image.

It’s noteworthy that every image was configured with a most restrict of 4 to 7 open trades, after which a loss can be thought-about, and the trades can be closed. This method goals to mitigate related dangers.

To counterbalance the potential adversities of 1 image with the favorable moments of one other, the next foreign money pairs have been chosen: AUDUSD, AUDCAD, EURUSD, EURGBP, EURJPY, GBPNZD, USDCAD, and USDCHF. Varied units have been created wherein ranges of Take Revenue, Step, and most variety of allowed trades (between 4 and seven) have been optimized.

These units have been adjusted for a 5-year interval, and probably the most favorable outcomes have been taken, looking for an optimum Sharpe Ratio and quite a few trades that supported the validity of the evaluation.

Under are the varied chosen units. Please seek advice from the hooked up picture for extra particulars.

As soon as this preliminary portfolio was constructed, an actual account was opened and the portfolio was put into motion. Nevertheless, it was quickly noticed that the losses outweighed the positive factors, indicating potential flaws within the portfolio idea. It had been an impulsive choice, and it was evident {that a} new layer of verification was wanted earlier than continuing.

The primary check carried out was to rerun the backtests on one other dealer, verifying the outcomes obtained by means of the preliminary optimization course of. It was rapidly seen that the USDCHF set carried out properly on the primary dealer however not on the second. Due to this fact, as a substitute of falling into the entice of over-optimizing the set, it was discarded.

Consequently, it was determined to visualise the portfolio on a single graph and acquire extra knowledge for a deeper evaluation. The hooked up picture supplies a transparent illustration of those components:

The blue curve represents the steadiness and exhibits the general development of the portfolio. Nevertheless, one noteworthy knowledge level within the picture is the interval of stagnation, evidenced by 140 days the place the account skilled no development.

Regardless of this stagnation, the form of the curve was encouraging and satisfying. Nonetheless, the necessity to apply one other layer of data to refine the system and tackle recognized flaws was acknowledged.

One of many potential errors that might have been made is the extreme correlation between the completely different configurations and symbols inside the portfolio. To deal with this concern, a genetic device was used to mix the varied outcomes of every backtest in an effort to seek for important correlations.

On this context, it was established as a criterion that any ensuing mixture shouldn’t present a correlation exceeding 30%. After the evaluation, this system advised the exclusion of two of the remaining 7 units, because the outcomes of AUDUSD and GBPNZD confirmed important correlation with the outcomes of different symbols.

The hooked up picture illustrates the present portfolio composition, consisting of AUDCAD, EURGBP, EURJPY, EURUSD, and USDCAD, after this choice and adjustment course of. This method goals to scale back extreme correlation between configurations and symbols, thus selling larger diversification and robustness within the portfolio.

Within the offered picture, it may be noticed that whereas the portfolio curve seems extra uniform after the changes to scale back correlation, the interval of stagnation has barely elevated to 181 days. At this level, this phenomenon is attributed to the discount within the variety of trades inside the system.

Confronted with this example, the query arises as to what the subsequent steps ought to be to enhance and develop the system. On this regard, the concept is to element within the subsequent weblog entry a plan to optimize a brand new set of methods. This new method will give attention to basing commerce exits on market hours, i.e., establishing methods that settle for losses throughout particular market hours and shut trades exterior of these intervals.

This method goals to capitalize on market variability primarily based on hours, permitting for extra exact danger administration and doubtlessly rising buying and selling exercise throughout extra favorable instances. Within the subsequent weblog entry, this optimization plan shall be detailed, and the outcomes obtained upon implementation shall be shared.