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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

Pricing:

The current price of the FSI is $1,500 USD. Soon, the price will increase to $2,600 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: $1,000 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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BTCUSD GRID EA는 그리드 거래 전략을 사용하도록 설계된 자동화된 프로그램입니다. BTCUSD GRID EA는 초보자와 숙련된 거래자 모두에게 매우 유용합니다.   사용할 수 있는 다른 유형의 거래 봇이 있지만 그리드 거래 전략의 논리적 특성으로 인해 암호화폐 그리드 거래 봇이 문제 없이 자동화된 거래를 쉽게 수행할 수 있습니다.   BTCUSD GRID EA는 그리드 거래 봇을 시험해 보고자 하는 경우 사용할 수 있는 최고의 플랫폼입니다. BTCUSD GRID EA는 통화 변동성이 큰 경우에도 이상적인 가격 지점에서 자동 거래를 수행할 수 있기 때문에 암호화폐 산업에 매우 효과적입니다.   이 자동 거래 전략의 주요 목적은 EA 내에서 미리 설정된 가격 변동에 따라 수많은 매수 및 매도 주문을 하는 것입니다.   이 특별한 전략은 자동화하기 쉬우므로 일반적으로 암호화폐 거래에 사용됩니다.   그리드 트레이딩 전략을 올바르게 사용하면 자산 가격이 변할 때 돈을 벌 수
Bonnitta EA
Ugochukwu Mobi
3.5 (20)
Experts
Bonnitta EA는 보류 포지션 전략(PPS)과 매우 진보된 비밀 거래 알고리즘을 기반으로 합니다. Bonnitta EA의 전략은 비밀 사용자 지정 지표, 추세선, 지원 및 저항 수준(가격 조치) 및 위에서 언급한 가장 중요한 비밀 거래 알고리즘의 조합입니다. 실제 돈으로 3개월 이상 테스트하지 않고 EA를 구입하지 마십시오. 실제 돈으로 BONNITTA EA를 테스트하고 아래 링크에서 결과를 확인하는 데 100주 이상(2년 이상)이 걸렸습니다. BONNITTA EA는 사랑과 권한 부여로 만들어졌습니다. 불법 복제 알고리즘의 가격 및 구현의 이유는 소수의 구매자에게만 해당됩니다. Bonnitta EA는 테스트를 거쳤으며 22년 동안 99,9% 품질의 실제 진드기를 사용하여 실제 시장 조건에 가까운 슬리피지 및 수수료로 스트레스 테스트를 성공적으로 통과했습니다. Expert Advisor에는 완전한 통계 제어를 통해 통계 수집 및 미끄러짐 제어 알고리즘이 포함되어 있습니다
DMF Ai Ftmo Challenge and Prop Firms pass Safely
Ransom Dikpen Egene
5 (2)
Experts
Check Screenshot for Each parameters description and customize to your strategy. Note: do not buy any pirated clone in our name we do not sell in any other store other than the official mql5 market, not even on Ebay beware of scammers and do not fall victim out of curiosity. thanks. For Backtesting Parameters For FTMO, if encounter error 130 kindly change spread to 100 from current $ 100 K Below: Pair USTECHCASH100 Cm = "DMF_AI_EA_ROBOT" ; Strategy = 1 ElapsedSECONDS = 7 MaxDailyProfit = 3500 Ma
ChimeraFxTool
Marve Edom Agbor
5 (1)
Experts
CHECK COMMENTS SECTION FOR BACKTESTING PARAMETERS.. The ChimeraFxTool Best EA for Prop Firms (MFF/FTMO The ChimeraFxTool Best EA for Prop Firms (MFF/FTMO)   - No Martingale   - No Grid   - No Hedging Best Risk Management   - Daily Loss limit   - Stop loss and TP protections Best Profit Factor   - Daily Max Profit Lock Protection   - Monthly Profit Lock Protection Best Signal Accuracy    - Best candle Patterns    - Best timed Response     Strategy    - Trend Tracker
GoldScalper
Chiedozie Titus Ugwu
Experts
GoldScalper   is a professional automatic trading system designed and optimized for the MT4 platform and the  XAU/USD   pair. This system works independently on your terminal, you can run it on your computer or on a VPS because the computer must be turned on while the robot is running. The robot analyzes the market 24 hours a day ,Opening its trades on the 5M Timeframe . thanks to which it is more effective than a human. Updates and optimizations are made on an ongoing basis and will be availabl
Algo v3 ea robot
Sharif Khatib Said
1 (1)
Experts
ALGO V3 EA is developed with over a year of intense research and testing. This expert advisor employs multi-timeframe volatility measurements, analyses intentions of market participants and anticipate price movements before they occur with help candlestick patterns, and supply & demand analysis for accurate entries that are highly reactive to market price movements of Gold, breaking out at critical price levels. Gold Mana is proven to be resilient for more than 3 years with stable trading throug
Expert Sniper
Aleh Rabtsau
Experts
This Expert Advisor uses 7 indicators and many different mechanisms that control the trading process. To receive a signal, the robot analyzes the indicators of Parabolic SAR, MACD, MA, Envelopes, CCI, RSI, Alligator. Each order is supported by a double grid (with and against a trend order). The recommended deposit is from $ 4000 - on a dollar account, or 4000 cents on a cent account. You need to trade on timeframes from H1, where the trend / flat and pullbacks are better traced. Write to me afte
Smart Calculation
Aleh Rabtsau
Experts
Smart Advisor Calculation is designed for a very interesting method that is able finally to give the martingale a new positive way! At startup the Expert Advisor sets virtual orders and trades like the real deal. As soon as the drawdown of virtual orders reaches the set number, the robot immediately enters the market for real orders! Thus the price is going without setbacks such as 30-70 pips, with great probability will kick back at the entrance to the market! This is used by a robot! If the pr
Avato
Nikolaos Bekos
Experts
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
Channel Power
Aleh Rabtsau
Experts
This Expert Advisor trades flat breakouts. The EA plots a channel between important levels, or at a specified distance from the current price. As soon as the price start moving, the robot starts working. The recommended timeframe is H1 or above, currency pair - any. You can set the EA operation time in the settings. The EA is recommended for working during string market volatility or during news releases. This will allow you to avoid drawdown and will have a good effect on trading. Channel Power
Perfection
Mikhail Senchakov
Experts
Perfection is a multicurrency, fully automated and secure trading robot. The robot is designed for both portfolio trading and trading a single instrument. The EA does not use averaging methods, the volume of positions is strictly regulated. Orders are opened only in the direction of market movement in a grid. Due to this, the robot operates efficiently on any strong movements. The decision making algorithm does not use indicators. Instead, the robot automatically calculates the key levels, which
Ssgy EA
Aleh Rabtsau
Experts
The Ssgy EA generates the main signal based on 10 indicators. The trading strategy has been tested manually and has shown excellent results on a real account, after which it was decided to automate the whole process and entrust the work to a robot. The robot trades only in the direction of the trend, trying to determine its beginning and end. If the trend reverses, the open orders are managed by a double safety grid, allowing you to exit the received drawdown. The recommended minimum deposit is
Helmsman JXR
Aleh Rabtsau
Experts
This Expert Advisor trades on the active market. The robot virtually analyzes the chart setting two levels at a specified distance from the price. Upon expiration of 5-15 seconds (set in the parameters), the levels are re-set. As soon as the price starts moving very fast and breaks through one of the levels, a buy or a sell order is placed at once depending on what level has been broken (upper one - buy, lower one - sell). The EA has a strict stop loss (if the bar the order has been opened at is
Digital Bee
Aleh Rabtsau
Experts
The EA works on the Envelopes indicator. When the price exits the channel and returns, orders are opened and then closed at the intersection of the maximum and minimum lines of the indicator. The EA uses two take profits, stop loss, auto lot and other settings that allow you to customize the robot to your needs. We recommend a deposit of 50 USD on a cent account, currency pair GBPUSD, leverage at least 1:500, timeframe H1 (or higher). The EA is able to work on any currency pairs, as well as on s
Multiday Overlay Strategy
Fabio De Gaetano
Experts
With the Multiday Overlay Strategy EA you can trade in parallel all major/minor/cross pairs in Forex. This EA is rather unique, as it is capable to "follow the market", this means: no optimization is needed; the same set of input parameters is good for all pairs; you do not need to change the input parameters even if market conditions change. This 3 features mean that the EA is not "manually adapted" to a specific pair in a specific timeframe, as it normally happens when you optimize a pair with
Price Action EA V3
Mehmet Haluk Tunc
Experts
Price Action EA for scalping. Open trades by bar height when bar height meet complex math calculations. Timerame is fundamentally M1 and works all forex symbols. Percentage trailing system. Time limitation. Autolot by percentage of balance. Settings by ea automatically. Close safety by time in minutes and close your order after x minute even if it is not in profit or loss by you. Set stoploss and takeprofit values automatically market price. Every major settings can be set automatically by robo
Night Hunter FB
Aleh Rabtsau
Experts
Night scalper based on the Quiet Market indicator. It does not use martingale, sets a tight stop loss for each order. Trade is performed in a calm market based on strong overbought and oversold levels. The EA has a lot of settings, which allows you to manage the strategy at your discretion. Recommended timeframe - H1, leverage - 1:100, initial - 20 USD and more. It is advisable to disable the EA during high-impact news releases. To stop trading, simply press the PAUSE button. The robot uses a vi
CSM System
Michal Milko
Experts
The CSM System is currently fully automated with all the special features and functions, controlled and regularly monitored. Its evolution, parameters and the individual algorithms are professionally evaluated and optimized by experienced development group of programmers who are developing new updated versions of system. Unlike the other systems, we focused to create the system where the backtesting successful results matching the real life situation. Our core lies in identification of these bi
Marrykey stock indexes
Kostiantyn Kuzmin
Experts
ATTENTION IT IS IMPORTANT: Do not use this system for trading in currency pairs. ATTENTION IT IS IMPORTANT: Do not use this system for trading and testing without individual set files for the selected broker. Marrykey stock Indexes is a scalper system built on the hybrid combinatory Ichimoku Kinko Hyo is equipped with 6 different strategies and designed primarily to work on US stock indices such as S & P500, NASDAQ, Dow Jones, Russell2000. The system is capable of operating on frames from M5 to
The seed of a big tree
Jun Feng
Experts
This is a fully automatic EA based on price fluctuation, it uses principle of special recognition of price and balance. The parameters are simple and adaptable,the EA can deal with shock, trend, data, news and other types of market, and the performance is stable. Run timeframe: the results are the same in any period. Execution demonstration of the EA can be viewed in the links below: https://www.mql5.com/zh/signals/470101 Requirements and suggestions Please use this EA on EURUSD H1 timeframe,
Chicken peck rices
Jun Feng
Experts
Chicken peck rices This is a short-term EA what based on price breakthroughs,and the parameters are simple and adaptable. Requirements: Run timeframe: H1; The type of account:ECN,spread of currency≤3,for example,EURUSD,USDJPY,and others. The minimum spread for order modification:0,it means that the minimum distance is zero between setting stop loss or take profit and current price. You must use the required accounts to ensure the reliability of profit. Input parameters: explanation=chicken peck
Big Hunter
Mehdi Sabbagh
5 (1)
Experts
The Multi Strategy Trading Robot This automated trading robot always uses stop loss. Big Hunter is specially designed to trade gold , but you can test it on other pairs since you have the access to the parameters. The robot uses different strategies like swing trading ,  momentum trading , position trading and more. It's backtested for the last 10 years under the harshest, simulated market conditions. Each trade has  unique SL, TP, Trailing stop, and breakeven. These parameters are variabl
The Revolution Simple Trade
Herry Gani
Experts
THE REVOLUTION Simple Trade is suitable for all type of traders whether you are a Swing Trader, Day Trader or Scalper. THE REVOLUTION Package consist of 3 EAs which combine into a Single EA which can create many stategies depend on the trading skills used/known by each traders. We provide AUTO_SETTING expecially for beginner or no experience investors which this AUTO_SETTING will trade to achieve 1000 Points or 10%/month, and for traders/investors who have experiences in trading can develop the
Crypto System Automatic
Michal Milko
Experts
Kryptosystém automaticky   Automatický kryptosystém je v súčasnosti plne automatizovaný so všetkými špeciálnymi vlastnosťami a funkciami, je kontrolovaný a pravidelne monitorovaný. Jeho vývoj, parametre a jednotlivé algoritmy sú odborne vyhodnotené a optimalizované skúsenou vývojovou skupinou programátorov, ktorí vyvíjajú nové aktualizované verzie systému. Na rozdiel od ostatných systémov sme sa zamerali na vytvorenie systému, v ktorom je spätné testovanie úspešných výsledkov zodpovedajúce situ
The Revolution Target Achiever
Herry Gani
Experts
The Revolution Target Achiever FT -  Auto_Setting 1000 Points  Hi all Investors and traders, We've just updated this EA to a new version 3.0, which has a much more benefits , for Investors who want to run this EA 24 hours using vps can try the Auto_Setting to achieved 1000 Points or 10 %, for traders who have their own set up and target 1-100% can use the manual_setting, THE REVOLUTION Target Achiever is suitable for the investor who want to have a simple and ready to use Expert Advisor (EA). Th
Tera Page EA 123X3
Anja Hartelt
Experts
Tera Page EA 123X3 is an Expert Advisor with few trades a day that has a high hit rate. Only the German Stock Index, Dax30, is traded. The time frame to 4 hours and very important - the trading time must be the server time, please set correctly. Platform: Meta Trader 4 or Meta Trader 5 Instrument: Dax30 Trading time: server time Level: 1:30 Timeframe: H4 If you have any questions, please send me an email. Have fun and success with my Expert Advisors. I would be very happy abo
The Revolution Great Achiever FT
Herry Gani
Experts
The REVOLUTION Great Achiever FT - AUTO 1000 POINTS / 10 %   ANOTHER EXCELLENT EA FOR YOU TO CONSIDER USING IT TO GROW YOUR INVESTMENT !!! THE REVOLUTION Great Achiever is suitable for the investors who want to have a simple and ready to use Expert Advisor (EA). This fixed EA Setting is modified and created from The REVOLUTION Simple Trade which has free customized Setting or Strategy Build EA which is suitable for experienced/advanced traders who have many ideas and strategies innovated  system
Pisces EA
Nuttawut Khiawkiri
Experts
"Pisces Expert Advisor" Powered by FxGangster This EA Better work with GBPJPY and USD Pairs. this Expert Advisor has a Scalping, hedging and trend following  strategy when trade with wrong way, it will use hedging to fix it, and I have included too much indicator inside this EA, you can use all setting inside to set this EA, by the way you can look how many indicator and how to setting in my screenshots pictures. Live myfxbook : Pisces EA  ------------------- We provide Forex Analyst signals
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Orion Intelligence System
Pablo Salgado
Experts
Trading Signal: High Risk :  Click Here   Low Risk :  Click Here Rental and Pricing: The current price of the Orion is $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 martingale
필터:
리뷰 없음
리뷰 답변
버전 5.7 2024.08.22
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 3.7 2024.08.10
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;
}
버전 5.5 2024.08.21
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 3.7 2024.08.10
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;
}
버전 5.0 2024.08.17
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 3.7 2024.08.10
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;
버전 4.0 2024.08.12
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;
버전 3.7 2024.08.10
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;
버전 3.6 2024.08.09
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;
버전 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;
버전 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;
버전 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;
버전 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;
버전 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;
버전 2.3 2024.03.03
Version 2.3 Fixed

-No errors and Warnings
버전 2.2 2024.02.17
Version 2.2 Fixed

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