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Forex Strength Investing

Greetings Traders!

I'm Pablo, a seasoned trader with over 12 years of experience in stocks, forex, and indices. I mainly trade on the eToro platform, but I also have coding expertise in creating expert advisors for MT4. Understanding the challenges traders face, I've developed an expert advisor designed to ease market analysis and improve trading success.

Trading Signal:

High Risk : Click Here Low Risk : Click Here

Rental and Pricing:

The current price of the FSI is $599 USD. Soon, the price will increase to $1,500 USD, so take advantage of the current pricing while it lasts.

The primary strategy of the Forex Strength Investing EA is a less aggressive Martingale approach combined with various indicators and semi-AI to automatically trade based on market analysis. It includes pattern detection, support/resistance levels, and risk management to handle high market volatility effectively.

  • Indicators and Semi-AI: Utilizes various indicators and semi-AI for automated trading.
  • Pattern Detection: Identifies harmonic patterns and support/resistance levels.
  • Martingale Strategy: Employs a less aggressive Martingale strategy based on market analysis.
  • Risk Management: Includes drawdown control and recovery mode.
  • Volatility Handling: Operates effectively in high market volatility without a news filter.

Recommended Settings:

  • Timeframe: M15
  • Currency Pairs: AUDCAD, AUDNZD, NZDCAD
  • Minimum Capital: $3,000 to $10,000 (Higher capital increases profit potential)

Easy Setup:

  • Attach the EA to the M15 chart for AUDCAD.
  • Use settings: 1000 for high risk or 2000 for low risk.
  • Recommended leverage: 1:500.
  • Use a low spread account (e.g., Exness).

Performance:

  • Drawdown: Backtests show a maximum of 45% for high risk and 25% for low risk.

Installation:

  • Simple installation with minimal input parameters.
  • Restart MT4 three times for optimal performance.

Final Notes:

  • Be patient for trades to occur.
  • Avoid using other EAs simultaneously.
Could you please add me to my business Facebook account? My FB link: fb.com/business-profile
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Marek Kvarda
Experts
This robot uses a custom hidden oscillating indicator and also analyzes the market response. It traded mostly at the time of higher volatility. It works with several pending orders with different size of volume and their position actively modifies. It uses advanced money management. TradingMode setting can also meet the conditions FIFO. It is successful in different markets and different timeframes. Best results are achieves with a broker with the spread to 5 points on EURUSD. Is necessary a b
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The Avato is one of our standalone tools. (A Signal based on it will also be provided on Mt4 Market in the future). It is designed around a combined form of hedging and martingale techniques and uses sophisticated algorithms and filters to place the trades. It uses Stop loss and Take profit levels while Lot size is calculated automatically following the according multiplier settings. We consider it a toolbox for every seasoned trader. Made with Gold market in mind, it can be tested in other inst
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Experts
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Pablo Salgado
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Trading Signal: High Risk :  Click Here   Low Risk :  Click Here Rental and Pricing: The current price of the Orion is $2,600 USD. Soon, the price will increase to $5,600 USD, so take advantage of the current pricing while it lasts. Orion Intelligence System Overview: The Orion Intelligence System integrates multiple indicators and semi-AI technology for automated trading. It identifies harmonic patterns , support, and resistance levels to determine trade execution, utilizing a martinga
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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