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Forex Strength Investing

Introducing "Forex Strength Investing"

Greetings Traders!

I'm Pablo, a trader in the stock market, forex, and indices for over 12 years. As an investor and trader, I often use the eToro platform. While I rarely use MT4, I realized that I have coding skills and know how to code an expert advisor. Recognizing this, I decided to create an expert advisor that can trade in the market automatically, especially in forex. I am aware that many traders struggle with market analysis, and a significant number incur losses every day.

Forex Strength Investing utilizes various indicators and a semi-ai approach for automated trading. Additionally, Forex Investing identifies patterns such as harmonic patterns and support/resistance levels to determine trade execution. Forex Investing employs the martingale strategy but analyzes markets to determine when and if it should be used, ensuring confirmation based on indicators. Moreover, Orion also features automm to protect your funds.

Recommended timeframe: 
M15

Supported Currency Pairs:

  • AUDCAD, AUDNZD, NZDCAD

Minimum Capital:

  • $5,000 to $10,000

Easy to Set-Up Settings:
  • The EA must be attached to M15 chart, AUDCAD.

Choose one of these:

  • 1000 High Risk or 2000 Low Risk
  • For automm: 1000
  • Lotsize only: 0.01
  • If automm equals 1000 and Lot only equals 0.01, then automm is running.

Note:

  • Use a Low Spread Account like Exness.
  • Do not involve other EAs.
  • Recommended leverage: 1:500
  • Restart MT4 three times.

Simplified Installation and Setup:

The EA settings require minimal input parameters because they are built into the code. This design ensures that you do not have to struggle with complicated installation and setup processes.

Successful Trades:

Once you have completed the setup, it is crucial to be patient and wait for trades to occur. Success with this EA requires being patient.


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Aglov3 ea base treding strategytrade all   currency pairsall mt4 broker low drawn downused to  pass prop challengespairs used aregold,nas100 and us30 to pass the challenges this ea was tested for more than two yers so as to meet the need of client the ea is smt,(strategical smart move trading ea)makes 5 to 10% daily. The EATrade all currency pairsTrade all timeframeMinimum capital is $50 to 75 but I recommend to start withrade gold, nasdaq and us30 $100 to $150Drawdown is maximum 0.5 to 2% daily
Forex Workstation is a powerful and efficient Forex trading bot designed to use patterns, price hold levels, volatility analysis and market scaling. This bot offers unique capabilities for automated trading and optimization of strategies on various currency pairs. Let's look at the main functions and settings of Forex Workstation: Main functions: • Multicurrency: Forex Workstation supports a wide range of currency pairs, which allows you to diversify your portfolio and distribute risks. • Using
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Version 2.6 2024.07.01
What's new:

double RSI_m5 = iRSI(Symbol(), 5, RSI_Period, PRICE_CLOSE, 0);
double RSI_m15 = iRSI(Symbol(), 15, RSI_Period, PRICE_CLOSE, 0);
double RSI_m30 = iRSI(Symbol(), 30, RSI_Period, PRICE_CLOSE, 0);

RSI_m5 = NormalizeDouble(RSI_m5, 2);
RSI_m15 = NormalizeDouble(RSI_m15, 2);
RSI_m30 = NormalizeDouble(RSI_m30, 2);

bool isOverbought = RSI_m5 > 70 && RSI_m15 > 70 && RSI_m30 > 70;
bool isOversold = RSI_m5 < 30 && RSI_m15 < 30 && RSI_m30 < 30;

if (isOverbought) {
Global_22_a_168_ko[Para_0_in].bo_6 = true;
} else if (isOversold) {
Global_22_a_168_ko[Para_0_in].bo_5 = true;
} else {
Global_22_a_168_ko[Para_0_in].bo_5 = false;
Global_22_a_168_ko[Para_0_in].bo_6 = false;
}

Global_22_a_168_ko[Para_0_in].bo_5 &= Global_22_a_168_ko[Para_0_in].do_9 < Local_49_do && Local_49_do > 0.0;
Global_22_a_168_ko[Para_0_in].bo_6 &= Global_22_a_168_ko[Para_0_in].do_9 > Local_48_do && Local_48_do > 0.0;
tmp_in_10 = 0;
Version 2.5 2024.06.05
What's new:

double RSI_m5 = iRSI(Symbol(), 5, RSI_Period, PRICE_CLOSE, 0);
double RSI_m15 = iRSI(Symbol(), 15, RSI_Period, PRICE_CLOSE, 0);
double RSI_m30 = iRSI(Symbol(), 30, RSI_Period, PRICE_CLOSE, 0);

RSI_m5 = NormalizeDouble(RSI_m5, 2);
RSI_m15 = NormalizeDouble(RSI_m15, 2);
RSI_m30 = NormalizeDouble(RSI_m30, 2);

bool isOverbought = RSI_m5 > 70 && RSI_m15 > 70 && RSI_m30 > 70;
bool isOversold = RSI_m5 < 30 && RSI_m15 < 30 && RSI_m30 < 30;

if (isOverbought) {
Global_22_a_168_ko[Para_0_in].bo_6 = true;
} else if (isOversold) {
Global_22_a_168_ko[Para_0_in].bo_5 = true;
} else {
Global_22_a_168_ko[Para_0_in].bo_5 = false;
Global_22_a_168_ko[Para_0_in].bo_6 = false;
}

Global_22_a_168_ko[Para_0_in].bo_5 &= Global_22_a_168_ko[Para_0_in].do_9 < Local_49_do && Local_49_do > 0.0;
Global_22_a_168_ko[Para_0_in].bo_6 &= Global_22_a_168_ko[Para_0_in].do_9 > Local_48_do && Local_48_do > 0.0;
tmp_in_10 = 0;
Version 2.4 2024.03.10
double RSI_m5 = iRSI(Symbol(), 5, RSI_Period, PRICE_CLOSE, 0);
double RSI_m15 = iRSI(Symbol(), 15, RSI_Period, PRICE_CLOSE, 0);
double RSI_m30 = iRSI(Symbol(), 30, RSI_Period, PRICE_CLOSE, 0);

RSI_m5 = NormalizeDouble(RSI_m5, 2);
RSI_m15 = NormalizeDouble(RSI_m15, 2);
RSI_m30 = NormalizeDouble(RSI_m30, 2);

bool isOverbought = RSI_m5 > 70 && RSI_m15 > 70 && RSI_m30 > 70;
bool isOversold = RSI_m5 < 30 && RSI_m15 < 30 && RSI_m30 < 30;

if (isOverbought) {
Global_22_a_168_ko[Para_0_in].bo_6 = true;
} else if (isOversold) {
Global_22_a_168_ko[Para_0_in].bo_5 = true;
} else {
Global_22_a_168_ko[Para_0_in].bo_5 = false;
Global_22_a_168_ko[Para_0_in].bo_6 = false;
}

Global_22_a_168_ko[Para_0_in].bo_5 &= Global_22_a_168_ko[Para_0_in].do_9 < Local_49_do && Local_49_do > 0.0;
Global_22_a_168_ko[Para_0_in].bo_6 &= Global_22_a_168_ko[Para_0_in].do_9 > Local_48_do && Local_48_do > 0.0;
tmp_in_10 = 0;
Version 2.3 2024.03.03
Version 2.3 Fixed

-No errors and Warnings
Version 2.2 2024.02.17
Version 2.2 Fixed

-No errors and Warnings
Version 2.1 2024.02.09
Version 2.1 Fixed and is Mandatory.
Version 2.0 2024.01.31
Version 2.0 Fixed and is Mandatory.
Version 1.9 2024.01.31
Version 1.9 Fixed and is Mandatory.
Version 1.8 2024.01.31
Version 1.8 Fixed and is Mandatory.
Version 1.7 2024.01.28
Version 1.7 Fixed and is Mandatory.
Version 1.6 2024.01.27
Version 1.6 Fixed and is Mandatory.
Version 1.5 2024.01.26
Version 1.5 Fixed and is Mandatory.
Version 1.4 2024.01.25
Version 1.4 Fixed
Version 1.3 2024.01.24
Version 1.3 Fixed
Version 1.2 2024.01.09
Version 1.2 Fixed
Version 1.1 2023.12.30
Version 1.1 Fixed