Money Management Expert Advisor MT4


One careful thought as to whether a skillful advice-giver can benefit forex trading boils down to employed money management. Regardless of how improved the logic used is, it will fail if what is put into money management is inconsequent.
The challenge is that many traders lack knowledge of the true meaning of money management and harness it to one’s favor in self-functioning forex trading.

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

Money care is used to strategically exploit position sizes in the diverse exchange of goods and services to be confident 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 existing, it is a profitable sequence of winning. However, sequence losses empty one’s account, which can be worrisome. Instead, ensure you know the extent of your sequence losses (losing streaks) before setting up your inputs.

Money Management Expert Advisor Types

  • Fixed percentage

this is also referred to as the standard position sizing approach. In this approach, the trader determines 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 account’s magnitude depends on the percentage risk size.
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 resulted in a loss of $1100. The main challenge of this approach is that the same quantity is apportioned to every exchange. Thereby, graphically, the account is smoother and more stable.

  • Averaging up

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

The possible losing trades are minute because the formal point isn’t huge when accompanying the scaling into the trading method. The up-averaging process may be advantageous for the trend-following approach 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 more prominent positions in previous orders and diminish their magnitude when scaling into trade starts.

  • Cost Averaging

This approach often causes controversy among traders. It is against averaging up because if one’s trade shifts in the opposite direction, it needs to make another order to increase your point.

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

This approach is often misused by untrained traders, who are emotionally driven because they lose their spot. Such do make new orders 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 primary cause of significant losses among untrained traders is the lack of proper application of cost averaging. Hence the approach is not meant for unskilled traders or is devoid of principles and attaches emotion to trade.

  • Martingale

This approach is often the talk of the traders, just like the averaging cost approach. In the hope of getting back what was lost, the trader makes his position size times two. Together with the first winning transaction, annul the previous debt or losses.

The place where doubling-up depicts risking the entire account emerges unavoidably. Every merchant will taste a sequence of losses over a lengthy period, and just one is enough to empty the real 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 significant issue; these conditions can wipe off the account sooner than expected. As corroborated by statistics, losses can occur regardless of the trader’s expertise. Hence, it’s just a question of time before one completely explodes with this approach.

  • Anti-Martingale

This approach removes the danger of the martingale approach’ Using this method, the merchant doesn’t double-up after a loss and employs an average risk level. As a result series of losses cannot quickly empty merchant accounts. In contrast, if a merchant has consecutive winnings, the merchant doubles up and takes 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 account; he’s now having $10 200 as his new account. In the 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 may gain more during consecutive winnings and never drop the initial account balance.

A loss can cancel the initial profits. Hence merchants should be mindful of doubling up their stand. Instead should use a factor less than 2 in determining his stand after a win. Doing this makes them a profit even after a series of losses.
Account shifts with the anti-martingale approach can be evident 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 so that he doesn’t increase his position size further but returns to the original method to get his profits.

  • 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 choose 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.

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

  • 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%
The goal is to compare various systems to see which system has the minor risk.

Download Money Management Expert Advisor

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 but as consecutive winnings and losses. I have found out that this is inherent. Maintaining the line during reductions and moderate during successive winnings is prudent.

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 should be decided via estimation and backtesting. Also, there ought to be a clear choice of maximum risk of the network moving ahead because there’s no more than a 25% reduction. If the network’s history is gotten and the likely reduction, one can include a money management network that can self–manage the loss 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.

To maintain your system for a long time, the transaction account’s size must not exceed the risk of 2%. The losing trade, on average, is too small compared to the end loss. Even if 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 with a risk of 2% or six plans having a 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, you may lose your account if you allow greed to rule you and aim huge while setting your risk inputs.

Fxigor

Fxigor

Igor has been a trader since 2007. Currently, Igor works for several prop trading companies. He is an expert in financial niche, long-term trading, and weekly technical levels. The primary field of Igor's research is the application of machine learning in algorithmic trading. Education: Computer Engineering and Ph.D. in machine learning. Igor regularly publishes trading-related videos on the Fxigor Youtube channel. To contact Igor write on: igor@forex.in.rs

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