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EA Toolkit

EA Toolkit is a library that allows any developer to quickly and easily program Advisor experts. It includes many functions and enumerations such as trailing stop, lot, stop loss management, market trading authorisations, price table updates, trading conditions and many more.


Installation + Documentation :

You will find all the information to install this library and the documentation of its functions on this GitHub :

https://github.com/Venon282/Expert-Advisor-Toolkit

WARNING : The installation explained above must be done in order to use this library.


Enumerations :

enum TRAILLING_STOP;
enum TRAILLING_STOP_CROSSING;
enum HOURS;
enum MINUTES;
enum POSITIONS;


Functions :

long CandlesNumberSince(datetime since);
bool CheckMoneyForTrade(string symbol,double lot,ENUM_ORDER_TYPE type);
bool CloseFridayPositions(long magic,HOURS h,MINUTES m,bool close=true);
bool ClosePositions(long magic,POSITIONS pos);
void Comment_(long magic,bool comment,double &profit_total[],double &profit_daily[]);
int CountDigits(double value,double precision_max=8.000000);
datetime DateDiff(datetime a,datetime b);
POSITIONS Direction(ENUM_ORDER_TYPE type);
POSITIONS Direction(ENUM_POSITION_TYPE type);
bool FirstTick(MqlRates &candles[]);
double GetLot(double risk,int point,bool money_managment,double fixed_lot);
double GetLot(double risk,int point);
double GetMaxClose(MqlRates &candles[],int from=1,int to=10);
double GetMaxOpen(MqlRates &candles[],int from=1,int to=10);
double GetMaxPrice(MqlRates &candles[],int from=1,int to=10);
double GetMaxSpread(MqlRates &candles[],int from=1,int to=10);
double GetMinClose(MqlRates &candles[],int from=1,int to=10);
double GetMinOpen(MqlRates &candles[],int from=1,int to=10);
double GetMinPrice(MqlRates &candles[],int from=1,int to=10);
double GetMinSpread(MqlRates &candles[],int from=1,int to=10);
bool MarketOpen(void);
double MeanCandlesSize(MqlRates &candles[],int nb);
bool Movement(MqlRates &candles[],int mean_sup,int nb_mean_sup,int mean_inf,int nb_mean_inf);
int PeriodToInt(ENUM_TIMEFRAMES period);
void Profit(long magic,int &last_day,double &capital_daily,double &profit_total[],double &profit_daily[]);
void Profit_daily(long magic,double &result[]);
void Profit_since(long magic,double &result[],datetime since);
double SLBuy(double bid,long SL);
double SLSell(double ask,long SL);
datetime Start_day(datetime day);
datetime Start_day(void);
int TotalOperations(long magic);
int TotalOrders(long magic);
int TotalOrdersBuy(long magic);
int TotalOrdersSell(long magic);
int TotalPositions(long magic);
int TotalPositionsBuy(long magic);
int TotalPositionsSell(long magic);
double TPBuy(double ask,long TP);
double TPSell(double bid,long TP);
bool TradeDays(bool monday,bool tuesday,bool wednesday,bool thursday,bool friday);
bool TradeHours(bool time_filter,HOURS start_hour,MINUTES start_minute,HOURS end_hour,MINUTES end_minute);
bool TraillingStop(TRAILLING_STOP sl_type,MqlRates &candles[],long magic,int sl,double &ma_buff[],int sl_min,int sl_quick_q,int sl_start_q,int ratio,int mean_nb_candles,int sl_i,int sl_start_i,int nb_candles_i,int sl_increase,int max_increase,int min_decrease);
bool TraillingStop(TRAILLING_STOP_CROSSING sl_type,MqlRates &candles[],long magic,int sl,double &ma1_buff[],double &ma2_buff[],int sl_min,int sl_quick_q,int sl_start_q,int ratio,int mean_nb_candles,int sl_i,int sl_start_i,int nb_candles_i,int sl_increase,int max_increase,int min_decrease);
bool TraillingStopFixe(double ask,double bid,long magic,int sl);
bool TraillingStopIncreasing(double ask,double bid,long magic,int sl,int sl_start,int nb_candles,int sl_increase,int max_increase,int min_decrease);
bool TraillingStopMa(double ask,double bid,long magic,double &buff[],int sl_min);
bool TraillingStopMeanMoving(double ask,double bid,long magic,MqlRates &candles[],int ratio,int mean_nb_candles);
bool TraillingStopQuickSecurity(double ask,double bid,long magic,int sl,int sl_start);
bool UpdateBuffer(int handle,double &buff[],int size,int shift=0);
bool UpdateCandles(MqlRates &candles[],int size,int shift=0);


If you want to add new functions in this library, modify some or you found bugs, please inform me by private message


Some robots that use the EA Toolkit :

https://www.mql5.com/en/market/product/94056

https://www.mql5.com/en/market/product/89515

https://www.mql5.com/en/market/product/90132


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The library is used to develop automatic trading on Binance Futures Market from MT5 platform. Support all order types: Limit, Market, Stop-Limit, Stop-Market , StopLoss and TakeProfit. Automatically display the chart on the screen. Usage: - Open MQL5 demo account - Move BinanceFuturesLib.ex5 from folder \MQL5\Scripts\Market to MQL5\Libraries -  Download Header file and EA sample https://www.mql5.com/en/code/download/34976_252386.zip Copy BinanceFutures.mqh header file to folder \MQL5\Include C
The Trade Tracker Library is used to automatically detect and display trade levels on custom charts. It is an especially useful add-on for EAs that trade on custom charts in MT5. With the use of this library, the EA users can see trades as they are placed via the EA (Entry, SL & TP levels) in real-time. The header file and two examples of EA skeleton files are attached in the comments section (first comment). The library will automatically detect the tradable symbol for the following custom
If you're a trader looking to use Binance.com and Binance.us exchanges directly from your MetaTrader 5 terminal, you'll want to check out Binance Library MetaTrader 5. This powerful tool allows you to trade all asset classes on both exchanges, including Spot, USD-M   and COIN-M futures, and includes all the necessary functions for trading activity. With Binance Library MetaTrader 5, you can easily add instruments from Binance to the Symbols list of MetaTrader 5, as well as obtain information ab
1. What is this The MT5 system comes with very few optimization results. Sometimes we need to study more results. This library allows you to output more results during backtest optimization. It also supports printing more strategy results in a single backtest. 2. Product Features The results of the optimized output are quite numerous. CustomMax can be customized. The output is in the Common folder. It is automatically named according to the name of the EA, and the name of the same EA will be au
Esta librería implementa unes cuantas funciones para simplificar la programación de los Expert Advisor. La librería es compatible con Metatrader 5 y Binance. El tipo de algoritmo que puede programarse con esta librería, son algoritmos que basen sus acciones cada vez que se forma una nueva vela. No es una librería para sistemas que requieran actuar en cada tick. La librería implementa trabajar de forma fácil con el número de símbolos y timeframes que se desee. Junto con la librería, se ofrecen un
The Matrix
Omega J Msigwa
Matrix es la base de algoritmos comerciales complejos, ya que lo ayuda a realizar cálculos complejos sin esfuerzo y sin la necesidad de demasiada potencia de cálculo. No hay duda de que Matrix ha hecho posible muchos de los cálculos en las computadoras modernas, ya que todos sabemos que los bits de información son almacenados en forma de matriz en la memoria RAM de nuestra computadora, Al usar algunas de las funciones de esta biblioteca, pude crear robots de aprendizaje automático que podían ace
EA Toolkit
Esteban Thevenon
EA Toolkit   is a library that allows any developer to quickly and easily program Advisor experts. It includes many functions and enumerations such as trailing stop, lot, stop loss management, market trading authorisations, price table updates, trading conditions and many more. Installation + Documentation : You will find all the information to install this library and the documentation of its functions on this GitHub : https://github.com/Venon282/Expert-Advisor-Toolkit WARNING : The installa
This is standard library built for flexible neural Networks with performance in mind. Calling this Library is so simple and takes few lines of code:    matrix Matrix = matrix_utils.ReadCsv( "Nasdaq analysis.csv" );       matrix x_train, x_test;    vector y_train, y_test;         matrix_utils.TrainTestSplitMatrices(Matrix,x_train,y_train,x_test,y_test, 0.7 , 42 );    reg_nets = new CRegressorNets(x_train,y_train,AF_RELU_,HL, NORM_MIN_MAX_SCALER); //INitializing network       reg_nets.RegressorN
Esta biblioteca se utiliza para ordenar matrices de claves y valores, a menudo necesitamos ordenar valores. como en el lenguaje python sorted(key_value.items(), key = lambda kv:(kv[ 1 ], kv[ 0 ])) función de importación Ejemplo de escenarios de uso 1. Las órdenes de Grid EA se clasifican según el precio de apertura void SortedByOpenPride()   {    long     OrderTicketBuffer[];    double   OpenPriceBuffer[];    for ( int i = PositionsTotal ()- 1 ; i>= 0 ; i--)      {        if (m_position
Intro to Range Breakout Strategy (pre-close clearance) Range = yesterday high - Yesterday low On track = opening price + range *k; Lower rail = Open price - range *K Stop-loss closing position: When the price breaks up the upper track or breaks down the lower track, it breaks the opening price of the day again Parameters: Pairs List (comma separated)       = "GBPUSD,GBPJPY,USDJPY,XAUUSD,XTIUSD,USTEC"; - TimeFrame = PERIOD_D1; - MagicNumber      = 60037;          - OrderComment     = "RangeBre
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Otter Scalper is a 100% automated trading robot. It uses a very effective breakout strategy. The money management is automatic. A position is taken when a high or low is reached. The position is secured as soon as possible and followed with a trailing stop loss. As the average profit is small, it is advisable to trade with a small spread. The performance of the robot can therefore change depending on your broker. It is also strongly recommended not to use this robot if your broker uses commiss
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5 (1)
Deer Ma es un robot de trading altamente avanzado diseñado para operar eficientemente en los mercados financieros. Este software completamente automatizado utiliza dos medias móviles y otros indicadores avanzados para analizar los mercados y tomar decisiones comerciales basadas en estrategias de scalping o tendencia . El algoritmo de vanguardia del software asegura que pueda identificar rápidamente y con precisión operaciones, mientras que sus características avanzadas de gestión de dinero le pe
Otter Scalper Gold es un asesor experto que opera con la estrategia de breakout. El EA detecta los máximos y mínimos en función de un rango específico de velas y coloca órdenes de stop o límite en consecuencia. Otter Scalper Gold proporciona varias opciones de stop loss, incluyendo una amplia selección de diferentes stop losses para adaptarse a sus estrategias de trading. El EA incluye sistemas avanzados de gestión de dinero y gestión de riesgos para ayudar a minimizar las pérdidas y maximizar l
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Versión 1.35 2023.05.28
Add :

int TotalOperationsBuy(long magic)
int TotalOperationsSell(long magic)
bool NewCandle(datetime &previous)
bool ModifyPosition()
double GetLot(double risk, int point)
double GetLot(double risk, int point, bool money_managment, double fixed_lot)
bool LaterThan(HOURS hour, MINUTES minute)
bool LaterEqThan(HOURS hour, MINUTES minute)
bool EarlierThan(HOURS hour, MINUTES minute)
bool EarlierEqThan(HOURS hour, MINUTES minute)
enum ORDERS
bool CloseOrders(long magic, ORDERS order)

Update :
bool TraillingStopIncreasing(double ask, double bid, long magic, int sl, int sl_start, int nb_candles, int sl_increase, int max_increase, int min_decrease)
bool TraillingStopMeanMoving(double ask, double bid, long magic, MqlRates &candles[], int ratio, int mean_nb_candles)
bool TraillingStopQuickSecurity(double ask,double bid, long magic, int sl, int sl_start)
bool TraillingStopMa(double ask,double bid,long magic, double &buff[], int sl_min)
bool TraillingStopFixe(double ask, double bid, long magic, int sl)
Versión 1.18 2023.03.04
1 function update:
-TradeDays
Versión 1.17 2023.02.20
17 new functions :
-Direction
-Direction
-GetMaxClose
-GetMaxOpen
-GetMaxPrice
-GetMaxSpread
-GetMinClose
-GetMinOpen
-GetMinPrice
-GetMinSpread
-TotalOperations
-TotalOrders
-TotalOrdersBuy
-TotalOrdersSell
-TotalPositions
-TotalPositionsBuy
-TotalPositionsSell