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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.

Trading Signal:

High Risk : Click Here

Rental and Pricing:

You can rent my EA for $130 per month. However, this is a limited-time offer, and I will remove the rental option soon. The current price of the Orion is $1,000 USD. Soon, the price will increase to $2,600 USD, so take advantage of the current pricing while it lasts.

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:

  • $3,000 to $10,000
  • Note: With higher capital increases profit potential, while lower capital limits profit potential.

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.
  • The expected drawdown according to backtests (high risk settings) is no more than 45%.
  • The expected drawdown according to backtests (low risk settings) is no more than  25%.

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.

Could you please add me to my business Facebook account? My FB link: fb.com/business-profile


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Antwort auf eine Rezension
Version 3.5 2024.07.31
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 3.0 2024.07.25
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 2.6 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