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.
Subsequently, 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 could be thought-about, and the trades could 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 by which 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 essentially the most favorable outcomes have been taken, searching for an optimum Sharpe Ratio and numerous trades that supported the validity of the evaluation.
Beneath are the varied chosen units. Please seek advice from the connected 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 good points, indicating potential flaws within the portfolio idea. It had been an impulsive determination, and it was evident {that a} new layer of verification was wanted earlier than continuing.
The primary take a look at performed was to rerun the backtests on one other dealer, verifying the outcomes obtained by means of the preliminary optimization course of. It was rapidly observed that the USDCHF set carried out nicely on the primary dealer however not on the second. Subsequently, as an alternative 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 procure further information for a deeper evaluation. The connected picture gives a transparent illustration of those parts:
The blue curve represents the steadiness and reveals the general development of the portfolio. Nevertheless, one noteworthy information 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 knowledge to refine the system and tackle recognized flaws was acknowledged.
One of many potential errors that would have been made is the extreme correlation between the completely different configurations and symbols inside the portfolio. To handle this concern, a genetic software was used to mix the various outcomes of every backtest to be able 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 urged 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 connected 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 higher 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 following steps ought to be to enhance and develop the system. On this regard, the thought is to element within the subsequent weblog entry a plan to optimize a brand new set of methods. This new method will concentrate on basing commerce exits on market hours, i.e., establishing methods that settle for losses throughout particular market hours and shut trades outdoors of these intervals.
This method goals to capitalize on market variability based mostly 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 can be detailed, and the outcomes obtained upon implementation can be shared.
