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Home » Education » Money Management Expert Advisor

Money Management Expert Advisor

by Fxigor

Table of Contents

  • Theory
  • Money Management Expert Advisor Types
  • Money Management Expert Advisor – Our Case Study – indicators experts and scripts
  • Conclusion

One careful thought as per maybe or not a skillful advice-giver can benefit forex trading boils down to the employed money management. Regardless of how improved the logic used is, if what is put into money management is inconsequent, it will fail.
The challenge is that many traders are devoid of knowledge of the true meaning of money management and harness it to one’s favor in self-functioning forex trading.

Position sizing methods you can analyze in our popular article in detail.

Money care is used in the strategic exploit of position sizes on the diverse exchange of goods and services to be certain of positive output. With an effective fund care system, more losses and more wins are being accounted for, also in sizes shoot up regularly with value rise.
Every skilled advice-giver gets more sequence of losses when they arrive, and the length of their existence is unknown. Also exist, is a profitable sequence of winning. However, sequence losses empty one’s account, and this can be worrisome. Instead of this, ensure you have foreknowledge of the extent of your sequence losses (losing streaks) before setting up your inputs.

Theory

Money Management Expert Advisor Types

1. Fixed percentage:
this is also referred to as the standard position sizing approach. In this approach, the trader is the determinant of the percentage level of the balance left in his account that can be risked in each transaction. Often, the value in percentage falls within 1% to 3%. Thus, the magnitude of the account depends on the size of the percentage risk.
For instance, if one transacts with $11 000, you might risk $1100 per transaction, perhaps per transaction, the level of risk increases by one unit in percentage.
Hence, ending the transaction results in a loss of $1100. The main challenge of this approach is that the same quantity is apportioned to every of your exchange. Thereby, graphically, the account is smoother and stable.

2. Averaging up
This explains that the moment trades shift to gains, the merchant, as price increases, also put in more contracts. This is also called scaling into the exchange (trade)

The possible losing trades is minute because the formal point isn’t that huge when accompanying the scaling into the trading method. For the trend following approach, the averaging up method may be advantageous because it permits the trader to increase when the trend strengthens itself.

Inquest to get a fair and appropriate price value to put into a position might cause a threat. In furtherance, the moment price shifts, those who gain can be annulled by the losers. To alter this effect as soon as possible, transactions apply for larger positions in previous orders and then diminish their magnitude when scaling into trade starts.
3. Cost Averaging:
This approach often causes controversy among traders. It is totally against averaging up because if one’s trade shifts in the opposite direction, it needs to make another order to increase your points.

Here, losses can be diminished possibly, and the stage of equal cost and income might be reached sooner as soon as a trade that shifted against you take a new turn.

This approach is often misused, often by untrained traders, who are emotionally driven because they lose their spot. Such do make new order even why sloping down hoping it will turn out in their favor. Due to the lack of effective trading strategies, neglecting the fact that price must turn. The major cause of major losses in the midst of untrained traders is the lack of proper application of cost averaging. Hence the approach is not meant for untrained traders or devoid of principles and attaches emotion to trade.
4. Martingale
This approach is often the talk of the traders, just like the averaging cost approach. In then hope to get back what was lost, the trader makes his position size times two. Together with the first winning transaction to annul the previous debt or losses.

The place where doubling-up depicts risking the entire account emerges unavoidably. In a lengthy period of the term, every merchant will taste a sequence of losses, and just one of such is enough to empty the entire trading account.
If merchants want to requite trade and start trade without suddenly losing after a series of losses, then the martingale approach’ becomes a great issue; these conditions can totally wipe off the account sooner than expected. As corroborated by statistics, a series of losing can occur regardless of the expertise of the trader. Hence, it’s just a question of time before one completely explodes with this approach.

5. Anti-Martingale:
This approach removes the danger of the martingale approach’ Using this method, the merchant doesn’t double-up after a loss, also employs a normal risk level. As a result series of losses cannot quickly empty merchant account. Contrastingly, if a merchant has consecutive winning, the merchant doubles-up, also engages in more risk in the subsequent trade. In this method, the main idea is that trading is done with extra or, say, free money after the winning transactions.
For instance, a merchant earns $200 profit after risking 1% on a $10 000 accounts; he’s now having $10 200 as his new account. In next transaction, he can risk 196% of $10, 200 i.e. $200. if he wins, he gains $400, summing up his account to $10 600. In his subsequent trade, $600 can be risked to 57% of his previous account, i.e., $10 600.

Traders possibly tend to gain more during consecutive winning and never drop the initial account balance.

A loss can cancel the initial profits. Hence merchants should be mindful of doubling-up their stand. Rather should use a factor less than 2 in determining his stand after a win. Doing this makes them have a profit even after a series of losses.
Account shifts with the anti-martingale approach can be obvious due to losses after consecutive wins that can be huge if the subject cannot cope with the losses. This approach can result in other problems. Hence, a trader should have a predetermined level that he doesn’t increase his position size further but returns to the original method to get his profits.

6. Fixed ratio
This approach is predicated on trader profits. So, a trader must, of necessity, decide a specific amount of gains that enable him to shoot up his delta. For instance, a trader may start trading a single contract and decide his increased position to be around $2 000. Each time a profit of $2 000 is realized by one contract, the position size increases.

The position size increases only, and only if the profit is made. The extent of the increase of trader’s equity is controlled by selecting delta. When this delta is high, it only signifies the trader is at a lower position and vice versa.

Value and setting of delta preference is not actual science but subjective.
Position size, together with a rising account, is reduced due to the high delta. So also account rises with low delta while the profit is unstable.

7. Kelly’s Criterion:
This approach aims to increase the combined return, which can be earned by reinvesting the interest. Loss, as well as win rate, are employed to decide the maximum position size.
Mathematically shown in the formula below:

Position size = Winrate – ( 1- Winrate / RRR)

However, the implied position size in this Kelly Criterion usually underestimates the effect of losses also consecutive losses.
Example from mql5.com :
Example:

Last 50 trades :

26 trades were positive ( profitable ) with a total gain of 780 pips
24 trades were negative with a total loss of 600 pips

To get the Kelly ratio:

W = 26/50=0.52
R = (780/26)/ (600/24) =1.2
K% = W – [(1 – W) / R]
K% = 0.52- [(1 – 0.52) / 1.2]
K% = 12%
Goal is to compare various systems to see which system has the smallest risk.

Money Management Expert Advisor – Our Case Study – indicators experts and scripts

We tested several money management mql4 expert advisors. On the official Metatrader website mql5.com we can find excellent forex money management ea such as:

1) Money Manager Graphic Tool – indicator for MetaTrader 4

money management graphical tool

Conclusion

Gains and losses don’t usually occur in plane regularities rather as consecutive winning and losses. Having found out that this is inherent. It’s prudent to maintain the line during reductions and as well be moderate during consecutive winnings.

Generally, effective risk control makes use of several fragments. There ought to be clarity, and the calculation of the possible losing streak and reduction of the system decided via estimation and backtesting. Also, there ought to be a clear choice of maximum risk of the network moving ahead in the sense that there’s no more than a 25% reduction. If the network’s history is gotten and the likely reduction, one can then include a money management network that can self –manage the lost just to the extent that trade doesn’t go beyond risk percentage. Also, the sequences of losses must not exceed the pre-decided tolerated ultimate risk.
In general, to maintain your system for a long time, the transaction account’s size must not go beyond the risk of 2%. Except the losing trade on average is too small compared to the end loss. Even the minute risk percentage is due, more than ten consecutive losings may occur, which must be effortlessly survived if transacting with parallel systems. Worthy of note, one can run three strategies just with a risk of 2% or six plans having 1% risk each. However, it’s dangerous if the risk combines to rise above 10.

Furthermore, money management is like rendering powerless the dragon- so far, you are sure of escaping its claws. Also, the fire coming out of its mouth is synonymous with manipulating oneself against a consecutive loss.
If you are careful with your strategies, you can escape risk and gallantly have more wins. However, if you allow greed to rule you and aim huge while setting your risk inputs, you may lose your account.

  • Author
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Fxigor
Fxigor
Trader since 2007. Currently work for several prop trading companies.
Fxigor
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