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Painel De Expert Com Teclado

Teclado trader, é uma BIBLIOTECA que você pode chamar no OnChartEvent para abrir posição de compra/venda/zerar, os botões padrões são:

V = venda

C = compra

Z = zerar posições a mercado

S = zerar posições opostas e depois a mercado

X = zerar posições opostas


Além da função de teclado, é possível mostrar os estados do ExpertAdvisor usando o MagicId, com informação de:
lucro mensal, semanal, diario, e posição aberta, para isto use o OnTick, ou qualquer outro evento (OnTimer / OnTrade / OnBookEvent)


A biblioteca deixa o usuario customizar os botões (v,c,z) na chamada das funções, os parametros padrões ja estão configurados para facilitar o programador. Funciona com conta HEDGE ou NETTING


É possivel usar objetos Label ou Comment(), caso queira customizar o texto é possivel obter a lista de objetos com uma função da biblioteca e depois alterar os objetos, assim é possível embutir em seus Experts já existentes


Exemplo de codigo da imagem criada, funcionando com Comment e Labels, em vermelho os Labels:

#property copyright "Roberto Spadim"
#import "SpadimTeclado.ex5"
void SpadimTeclado_painel_event(const int id,const long& lparam,const double& dparam,const string& sparam,string sym="",ulong magic_id=0, double volume=0, bool   compra_liberada=true,bool   compra_partial_close=false,double compra_preco=0, double compra_stop_loss=0, double compra_stop_gain=0,bool   venda_liberada=true,bool   venda_partial_close=false,double venda_preco=0, double venda_stop_loss=0, double venda_stop_gain=0,bool   zerar_liberado=true,string comentario="", string comentario_prefix_compra="Teclado ",string comentario_prefix_venda="Teclado ",string comentario_prefix_zerar="Teclado ",string comentario_sufix_compra="",string comentario_sufix_venda="",string comentario_sufix_zerar="",long botao_compra=67,long botao_venda=86,long botao_zerar=90);
void SpadimTeclado_apagar_painel(string prefixLabel="LabelPosicaoMAGICID");
void SpadimTeclado_criar_painel(ulong magic_id=0, bool usar_comment=true, string prefixLabel="LabelPosicaoMAGICID", long labelX=0, long labelY=0, long label_stepY=12,int casas_volume=0, int casas_preco=2);
void SpadimTeclado_criar_painel(ulong magic_id=0, bool usar_comment=true, bool nao_voltar_mes_na_semana=true, string prefixLabel="LabelPosicaoMAGICID", long labelX=0, long labelY=0, long label_stepY=12, int casas_volume=0, int casas_preco=2);
bool SpadimTeclado_lista_objetos(string &lista[], string prefixLabel="LabelPosicaoMAGICID");
#import
input ulong magic_id=0;
input double volume=100;
int OnInit(){
   SpadimTeclado_criar_painel(magic_id, true, "SpadimPainel", 200);
   return(INIT_SUCCEEDED);
}
void OnDeinit(const int reason){
   SpadimTeclado_apagar_painel("SpadimPainel");
}
void OnTick(){
   SpadimTeclado_criar_painel(magic_id, true, "SpadimPainel", 200);
}
//+------------------------------------------------------------------+
void OnChartEvent(const int id,const long& lparam,const double& dparam,const string& sparam){
   SpadimTeclado_painel_event(id,lparam,dparam,sparam, _Symbol, magic_id, volume);
}



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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
Hello everyone! I am a professional MQL programmer , Making EAs, Indicators and Trading Tools for my clients all over the world. I build 3-7 programs every week but I seldomly sell any ready-made Robots. Because I am fastidious and good strategy is so few...  this EA is the only one so far I think its good enough to be published here.  As we all know, the Ichimoku indicator has become world popular for decades, but still, only few people knows the right way of using it, and if we check the cl
Applying these methods, I managed to arrive at a nuanced conclusion that is crucial to understanding the importance of unique strategies in contemporary trading. Although the neural network advisor showed impressive efficiency in the initial stages, it proved to be highly unstable in the long run. Various factors such as market fluctuations, trend changes, external events, etc. cause its operation to be chaotic and eventually lead to instability. With these experiences, I accepted the challenge
Introducing "TG Risk Service Manager" — your comprehensive toolkit for swift and precise risk management and lot size calculations in the dynamic world of trading. Designed to streamline development processes and enhance trading strategies, this indispensable library equips developers with essential tools for optimizing risk assessment and trade profitability. Metatrader4 Version |  All Products  |  Contact   Key Features: Efficient Lot Size Calculation : Harness the power of precise lot size
Introducing "TG Trade Service Manager" — your all-in-one solution for seamless trade management in both MQL4 and MQL5 environments. With a focus on speed, reliability, and convenience, this powerful library simplifies the complexities of trade execution and management, empowering developers with a single interface for enhanced efficiency. Metatrader4 Version   |   All Products   |   Contact   Key Features: Unified Interface : TG Trade Service Manager" provides a unified interface for   MQL4   a
This is an EXPERT with a FOCUS on LEARNING and PROFESSIONAL DEVELOPMENT!!! The idea of this product is to commercialize the source code, allowing those who want to develop their own robots, or start a professional activity developing customized experts, to have a reference source code that helps them in the learning and development process. This source code will be increased, that is, new functionalities will be created, thus allowing the project to continue evolving. For every 10 sales a new v
OpenAI Library MT5
VitalDefender Inc.
La seguente libreria si propone come un mezzo per poter utilizzare le API di OpenAI direttamente sulla metatrader, nella maniera più semplice possibile. Per maggiori approfondimenti sulle potenzialità della libreria, leggere il seguente articolo: https://www.mql5.com/it/blogs/post/756106 I file necessari per usare la libreria li trovate qui: Manuale IMPORTANTE: Per utilizzare l'EA è necessario aggiungere il seguente URL per consentire l'accesso all'API OpenAI c ome mostrato nelle immagini allega
Native Websocket
Racheal Samson
5 (2)
An   easy to use, fast,  asynchronous   WebSocket library  for MQL5. It supports: ws://   and   wss://  (Secure "TLS" WebSocket) text   and   binary   data It handles: fragmented message  automatically (large data transfer) ping-pong   frames  automatically (keep-alive handshake) Benefits: No DLL required. No OpenSSL installation required. Up to 128 WebSocket Connections from a single program. Various Log Levels for error tracing Can be synchronized to MQL5 Virtual Hosting . Completely native to
WalkForwardOptimizer MT5
Stanislav Korotky
3.86 (7)
WalkForwardOptimizer library allows you to perform rolling and cluster walk-forward optimization of expert advisers (EA) in MetaTrader 5. To use the library include its header file WalkForwardOptimizer.mqh into your EA source code, add call provided functions as appropriate. Once the library is embedded into EA, you may start optimization according to the procedure described in the User guide . When it's finished, intermediate results are saved into a CSV file and some special global variables.
AO Core
Andrey Dik
3 (2)
AO Core is the core of the optimization algorithm, it is a library built on the author's HMA (hybrid metaheuristic algorithm) algorithm. An example of using AO Core is described in the article: https://www.mql5.com/ru/articles/14183 https://www.mql5.com/en/blogs/post/756510 This hybrid algorithm is based on a genetic algorithm and contains the best qualities and properties of population algorithms.  High-speed calculation in HMA guarantees unsurpassed accuracy and high search capabilities,
Altri dall’autore
News Vertical Bar
Roberto Spadim
4 (1)
This indicator get all events/countries/values from metatrader terminal calendar and print veritical lines at chart, you can configure anything with inputs (string to filter names/url/code/countries/currencies), select period to filter, nws interval before and after current time (every information about time is seconds based), you can filter importance, type, sector, unit, multiplier, impact, timemode, frequency, forecast/previous % increase/decrease interval, actual/previous % increase/decrease
FREE
Export Deals to CSV - Excell File location: HistoryDeals/<SERVER>/<LOGIN>.<DATETIME>.csv Works as an Script, reading all DEALS in history and exporting it as a plain text CSV file There's no option to change. There's no WebRequest. There's no DLL use. I need to write 300 characters to allow this product being exposed at MQL5 market place. It's simple to use, plug it in graph and wait completion.
FREE
BookMap HeatMap
Roberto Spadim
1 (3)
This Indicator creates a heatmap based on depth of market of the current symbol or another symbol. Other symbol is useful when you trade futures market and a contract has 'mini' and 'full' split. For example, in Brazil (B3 - BMF&Bovespa), WDO and DOL are future Forex contract of BRL/USD (where 1 DOL = 5 WDO) and big banks work mostly with DOL (where liquidity is important). Please use with M1 timeframe , objects are too small to be displayed at higher timeframes (MT5 limit). The number of level
This indicator sends a message (notification), an email, and plays a custom sound when a Limit (Buy/Sell) or Limit Stop (Buy/Sell) or Take Profit, Stop Loss, Stop Out is executed. A user can change the sound file name, and select if they receive notifications/emails. It runs as an indicator, and only one indicator is locked (used) by a user account/login. Parameters soundFile - sound file Save your file at the terminal folder, for example: " C:\Program Files\MetaTrader 5\Sounds\Order Execute
From https://en.wikipedia.org/wiki/Fractional_calculus: Fractional calculus  is a branch of  mathematical analysis  that studies the several different possibilities of defining  real number  powers or  complex number  powers of the  differentiation operator   D This indicator execute fracional differentiation on data, you can select the differentiation D value and execute some tweaks like execute Log(value)  before difefrentiation or execute a window normalization on last [diffNormalizeWindo
It's a simple indicator that execute GARCH(1,1) function, it can be used with basis stocks and options, when garch is bellow implied volatility probably implied volatility tend to goes down, and when garch is higher than implied volatility probably implied volatility goes up. Can be used with options trading when buying / selling volatility, for example, buy ATM put and call when garch is higher than implied volatility and sell when it's lower.
This indicator works in Brazil market, it should be used on options symbols. the indicator create 8 buffers, Delta, Gamma, Vega, Rho, Theta, Time(working days), Implied Volatility, R (interest rate), and can be used to view greeks over time. It shouldn't be used to trade, since it's cpu intensive, it's just a historic viewer, you can see what happened with greeks and teach friends :)
This indicator implements the High Low Volatility Estimator based on Advances in Financial Machine Learning 2018 - Marcos Lopez de Prado, page 284. It's a robust estimator using High/Low values from past bars (configurable). It's robusto to Gaps (open/close of days to stock markets) since it's using high/low ration and not the close price. It's interesting when you need to avoid trading at a specific level of volatility
This indicator implements the Rool Model Estimator based on Advances in Financial Machine Learning 2018 - Marcos Lopez de Prado, page 283. It's a spread estimator using trade by trade (copytick) values from last trades (configurable). It works with low liquidity markets as a robust estimator considering the covariance between price diferences. It's interesting when you need to track spread changes
This indicator implements the Corwin and Schultz Estimator based on Advances in Financial Machine Learning 2018 - Marcos Lopez de Prado, page 284. It's a spread estimator using high/low and a rolling window (configurable). It works with low liquidity markets as a robust estimator. It's interesting when you need to track spread changes, more information can be found at Marcos book.
Kyle Lambdas
Roberto Spadim
In Kyle’s model, the variable captures price impact. Illiquidity increases with uncertainty about v and decreases with the amount of noise Kyle argues that the market maker must find an equilibrium between profit maximization and market efficiency. This indicator is based on Advances in Financial Machine Learning 2018 - Marcos Lopez de Prado book, Page 288.
Amihud studies the positive relationship between absolute returns and illiquidity. In particular, he computes the daily price response associated with one dollar of trading volume, and argues its value is a proxy of price impact. Despite its apparent simplicity, Hasbrouck [2009] found that daily Amihud’s lambda estimates exhibit a high rank correlation to intraday estimates of effective spread.  This indicator is based on Advances in Financial Machine Learning 2018 - Marcos Lopez de Prado book,
Hasbrouck follows up on Kyle’s and Amihud’s ideas, and applies them to estimating the price impact coefficient based on trade-and-quote (TAQ) data. Consistent with most of the literature, Hasbrouck recommends 5-minute time-bars for sampling ticks.  This indicator is based on Advances in Financial Machine Learning 2018 - Marcos Lopez de Prado book, Page 289. --- This code can run slow when using big timeframes, it use copytick to get dollar volume, in a next version I will implement a temporary i
Easley et al. [2011] proposed a high-frequency estimate of PIN, which they named volume-synchronized probability of informed trading (VPIN). This procedure adopts a volume clock, which synchronizes the data sampling with market activity. For additional details and case studies of VPIN, see Easley et al. [2013]. A number of studies have found that VPIN indeed has predictive power: Abad and Yague [2012], Bethel et al. [2012], Cheung et al. [2015], Kim et al. [2014], Song et al. [2014], Van Ness et
Easley et al. study the frequency of trades per trade size, and find that trades with round sizes are abnormally frequent. For example, the frequency rates quickly decay as a function of trade size, with the exception of round trade sizes {5, 10, 20, 25, 50, 100, 200,…}. These authors attribute this phenomenon to socalled “mouse” or “GUI” traders, that is, human traders who send orders by clicking buttons on a GUI (Graphical User Interface). In the case of the E-mini S&P 500, for example, si
A useful feature may be to determine the normal frequency of round-sized trades, and monitor deviations from that expected value. The ML algorithm could, for example, determine if a larger-than-usual proportion of round-sized trades is associated with trends, as human traders tend to bet with a fundamental view, belief, or conviction. Conversely, a lower-than-usual proportion of round-sized trades may increase the likelihood that prices will move sideways, as silicon traders do not typically hol
This script use DIDI+BB indicators and display alerts, send mail, send notifications, and play sounds. Scanner can monitor market watch using  ***MARKET***  as symbol name, with  all timeframes Inputs: media_lenta=3 media_base=8 media_longa=20 bb_periodo=20 bb_shift=0 bb_deviation=1.96 symbols - Symbol list, separated by ;   when using ***MARKET*** symbols from marketwatch will be included wait_interval_between_signals - Seconds between signals, default =60, but high frequency signals should red
This indicator represent option and basis values as a tax, using this formula: Tax = ( ( strike / ( basis - option ) ) - 1 ) * 100 It's not time based (don't use time to expire information)  You can set a fixed strike value, and a fixed basis symbol if needed. Some exchanges/brokers don't provide this information at marketdata and that's the only method to use this information when not provided.
This Service, export the account Orders/History Orders/Deals/Position on each new change. It save at a common folder with path = <DATE>\\<Server Name>.<Login>.<DATE>.<filetype>.csv Each file type have an header You can use it to receive OMS changes and source SQL Servers outside metatrader with bash scripts or others tools, each time the file change you can read it and get new updates, it works using SharedRead option when opening/flock the file.
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Versione 1.52 2019.02.11
atualização num bug para fechar posições, erro linha 107
Versione 1.51 2019.02.06
lucro global = lucro dia + posicao em aberto
Versione 1.50 2019.02.02
adicionado 2 teclas, e reduzido o texto na tela
Versione 1.40 2019.02.02
mudança no zerar: primeiro faz o fechamento de compra com venda (pra quem usa multiplas posições opostas como o gradiente linear), e depois zera a posição residual
Versione 1.30 2019.01.31
Adicionado Lucro da posição (em aberto) no inicio do texto, e o lucro da posição inclui oque ja foi fechado+oque esta em aberto
Versione 1.20 2019.01.31
Adicionado Comentario na hora de zerar
Calculado posição corretamente, antes aparecia zerado
Versione 1.10 2019.01.31
Adicionado uma função para tratar o inicio da semana caso ela comece no meio de outro mes
a versão anterior foi mantida e funciona como "nao_voltar_mes_na_semana=true"

void SpadimTeclado_criar_painel(ulong magic_id=0, bool usar_comment=true, string prefixLabel="LabelPosicaoMAGICID", long labelX=0, long labelY=0, long label_stepY=12,int casas_volume=0, int casas_preco=2);

void SpadimTeclado_criar_painel(ulong magic_id=0, bool usar_comment=true, bool nao_voltar_mes_na_semana=true, string prefixLabel="LabelPosicaoMAGICID", long labelX=0, long labelY=0, long label_stepY=12, int casas_volume=0, int casas_preco=2);