명시
here's the code,
+------------------------------------------------------------------+
//| kama.mq4 |
//| Copyright 2022, MetaQuotes Software Corp. |
//| https://www.mql5.com |
//| Heikin/Kaufman Strategy Expert Advisor |
//| By OpenAI (ChatGPT) |
//+------------------------------------------------------------------+
// Inputs
input int Length = 5;
input double Fastend = 2.5;
input int Slowend = 20;
input int test = 0;
input int sloma = 20;
// Indicator buffers
double nAMABuffer[];
double fmaBuffer[];
double smaBuffer[];
double ha_closeBuffer[];
double mha_closeBuffer[];
// External variables
extern double LotSize = 0.01; // Trading lot size
extern int StopLoss = 50; // Stop loss in pips
extern int TakeProfit = 100; // Take profit in pips
// Trading parameters
int ticket = -1;
int slippage = 3;
//+------------------------------------------------------------------+
//| |
//+------------------------------------------------------------------+
void OnCalculate(const int rates_total, const int prev_calculated, const datetime& time[], const double& open[], const double& high[], const double& low[], const double& close[], const long& tick_volume[], const long& volume[], const int& spread[])
{
int start = prev_calculated > 0 ? prev_calculated - 1 : 0;
ArrayResize(nAMABuffer, rates_total);
ArrayResize(fmaBuffer, rates_total);
ArrayResize(smaBuffer, rates_total);
ArrayResize(ha_closeBuffer, rates_total);
ArrayResize(mha_closeBuffer, rates_total);
double nfastend = 2 / (Fastend + 1);
double nslowend = 2 / (Slowend + 1);
for(int i = start; i < rates_total; i++)
{
double xPrice = (high[i] + low[i] + close[i]) / 3;
double xvnoise = MathAbs(xPrice - xPrice[test]);
double nsignal = MathAbs(xPrice - xPrice[i - Length]);
double nnoise = 0;
for(int j = i - Length + 1; j <= i; j++)
{
double xv = MathAbs((high[j] + low[j] + close[j]) / 3 - (high[j - 1] + low[j - 1] + close[j - 1]) / 3);
nnoise += xv;
}
double nefratio = nnoise != 0 ? nsignal / nnoise : 0;
double nsmooth = MathPow(nefratio * (nfastend - nslowend) + nslowend, 2);
nAMABuffer[i] = i > 0 ? nAMABuffer[i - 1] + nsmooth * (xPrice - nAMABuffer[i - 1]) : xPrice;
int ha_t = iCustom(NULL, 0, "Heikin Ashi", 0, i);
ha_closeBuffer[i] = iCustom(NULL, 0, "Heikin Ashi", 2, i, ha_t);
mha_closeBuffer[i] = iCustom(NULL, res1, "Heikin Ashi", 1, i, ha_t);
if(i >= test)
{
fmaBuffer[i] = iMAOnArray(mha_closeBuffer, rates_total, 1, 0, test, i);
}
if(i >= sloma)
{
smaBuffer[i] = iMAOnArray(ha_closeBuffer, rates_total, sloma, 0, MODE_EMA, i);
}
}
}
//+------------------------------------------------------------------+
//| |
//+------------------------------------------------------------------+
int OnInit()
{
SetIndexBuffer(0, fmaBuffer);
SetIndexBuffer(1, smaBuffer);
SetIndexStyle(0, DRAW_LINE);
SetIndexStyle(1, DRAW_LINE);
SetIndexLabel(0, "MA");
SetIndexLabel(1, "SMA");
double emptyBufferArray[];
{
int totalBars = ArraySize(open); // Retrieve the size of the 'open' array
int start = prev_calculated > 0 ? prev_calculated - 1 : 0;
// Rest of your code...
for(int i = start; i < totalBars; i++)
{
// Processing for each bar
}
// Rest of your code...
}
SetIndexBuffer(2, emptyBufferArray, INDICATOR_DATA);
double emptyBufferArray2[];
ArrayResize(emptyBufferArray2, rates_total);
SetIndexBuffer(3, emptyBufferArray2, INDICATOR_DATA);
SetIndexStyle(2, DRAW_ARROW);
SetIndexStyle(3, DRAW_ARROW);
SetIndexArrow(2, SYMBOL_ARROWUP);
SetIndexArrow(3, SYMBOL_ARROWDOWN);
SetIndexEmptyValue(2, 0);
SetIndexEmptyValue(3, 0);
return INIT_SUCCEEDED;
}
//+------------------------------------------------------------------+
//| |
//+------------------------------------------------------------------+
void OnDeinit(const int reason)
{
ArrayFree(nAMABuffer);
ArrayFree(fmaBuffer);
ArrayFree(smaBuffer);
ArrayFree(ha_closeBuffer);
ArrayFree(mha_closeBuffer);
}
//+------------------------------------------------------------------+
//| |
//+------------------------------------------------------------------+
void OnTick()
{
if(ticket == -1 && OrdersTotal() == 0)
{
int rates_total = RatesTotal();
int start = MathMax(0, rates_total - 1 - 1000);
for(int i = start; i < rates_total; i++)
{
if(fmaBuffer[i - 1] > smaBuffer[i - 1] && fmaBuffer[i] < smaBuffer[i])
{
ObjectCreate("CrossUnder", OBJ_TRIANGLE, 0, Time[i], High[i], 0);
ObjectSet("CrossUnder", OBJPROP_STYLE, STYLE_SOLID);
ObjectSet("CrossUnder", OBJPROP_WIDTH, 1);
ObjectSet("CrossUnder", OBJPROP_BACK, Red);
ObjectSetText("CrossUnder", "S", 8, "Arial", Red);
}
}
if(fmaBuffer[rates_total - 2] > smaBuffer[rates_total - 2] && fmaBuffer[rates_total - 1] < smaBuffer[rates_total - 1])
{
ticket = OrderSend(Symbol(), OP_BUY, LotSize, Ask, slippage, Ask - StopLoss * Point, Ask + TakeProfit * Point);
if(ticket < 0)
Print("Error opening buy order:", GetLastError());
}
else
{
if(ticket == -1 && OrdersTotal() == 0)
{
int crossUnderBar = -1;
{
if(fmaBuffer[i - 1] > smaBuffer[i - 1] && fmaBuffer[i] < smaBuffer[i])
{
crossUnderBar = i;
}
}
if(crossUnderBar != -1)
{
double crossUnderPrice = Low[crossUnderBar];
ObjectCreate("CrossUnder", OBJ_TRIANGLE, 0, Time[crossUnderBar], crossUnderPrice, 0);
ObjectSet("CrossUnder", OBJPROP_STYLE, STYLE_SOLID);
ObjectSet("CrossUnder", OBJPROP_WIDTH, 1);
ObjectSet("CrossUnder", OBJPROP_BACK, Red);
ObjectSetText("CrossUnder", "S", 8, "Arial", Red);
}
// Rest of your code...
}
// Rest of your code...
}
{
ticket = OrderSend(Symbol(), OP_SELL, LotSize, Bid, slippage, Bid + StopLoss * Point, Bid - TakeProfit * Point);
if(ticket < 0)
Print("Error opening sell order:", GetLastError());
}
}
if(ticket >= 0)
{
if(OrderSelect(ticket, SELECT_BY_TICKET, MODE_TRADES))
{
if(OrderType() == OP_BUY && Bid - OrderStopLoss() > TakeProfit * Point)
{
if(OrderModify(ticket, OrderOpenPrice(), Bid - TakeProfit * Point, OrderTakeProfit(), 0, Green))
{
ticket = -1;
}
else
{
Print("Error modifying buy order:", GetLastError());
}
}
else
if(OrderType() == OP_SELL && OrderStopLoss() - Ask > TakeProfit * Point)
{
if(OrderModify(ticket, OrderOpenPrice(), Ask + TakeProfit * Point, OrderTakeProfit(), 0, Green))
{
ticket = -1;
}
else
{
Print("Error modifying sell order:", GetLastError());
}
}
}
else
{
Print("Error selecting order:", GetLastError());
ticket = -1;
}
}
}
//+------------------------------------------------------------------+
응답함
1
등급
프로젝트
1000
47%
중재
33
36%
/
36%
기한 초과
98
10%
작업중
게재됨: 6 코드
2
등급
프로젝트
72
22%
중재
13
46%
/
15%
기한 초과
5
7%
무료
3
등급
프로젝트
641
41%
중재
25
48%
/
36%
기한 초과
46
7%
작업중
4
등급
프로젝트
10
50%
중재
6
17%
/
50%
기한 초과
3
30%
작업중
5
등급
프로젝트
228
80%
중재
22
27%
/
50%
기한 초과
11
5%
무료
게재됨: 24 기고글, 1882 코드
6
등급
프로젝트
18
28%
중재
4
50%
/
50%
기한 초과
1
6%
무료
7
등급
프로젝트
220
75%
중재
0
기한 초과
0
무료
8
등급
프로젝트
102
23%
중재
12
25%
/
17%
기한 초과
13
13%
무료
9
등급
프로젝트
195
42%
중재
13
8%
/
54%
기한 초과
9
5%
무료
게재됨: 3 코드
10
등급
프로젝트
80
6%
중재
46
11%
/
54%
기한 초과
7
9%
작업중
비슷한 주문
The video appears to show a mobile “auto trading robot” or trading bot promoting automated trading results on a forex/crypto-style app. The bot seems to place trades automatically and display profit/loss updates in real time. Here are the main things a trading robot can do during trading: Market Monitoring Watch price charts 24/7 Track trends, volatility, and indicators Detect trading signals faster than humans
I am looking to buy a ready-made automated trading robot / EA that works on the Tradovate platform and is proven to pass prop firm challenges for Apex Trader Funding, Tradeify, and Lucid Trading.Key Requirements (must be ready-made or very close to plug-and-play):Fully functional on Tradovate (native or via stable bridge/copier/webhook/API integration – MT5 EA + Tradovate bridge is acceptable if it works reliably)
I am looking for an experienced MQL4/MQL5 developer to build a custom MT4 indicator from scratch or cracking my ex4 file that i provide to you. I already have an existing indicator (EX4) which produces highly accurate buy/sell signals. I want a similar indicator developed based on its observable behavior and signal structure. my existing indicator is pc id protected so you have to do PC ID security bypass and source
We are looking for a developer to finish and stabilize an existing Kalshi trading bot (~60% complete) built in TypeScript. This is not a MetaTrader EA. The system interacts with the Kalshi API and requires strong understanding of execution logic, order handling, and state management. Scope of Work: Review and understand existing TypeScript codebase Complete missing functionality Fix execution issues (order placement
프로젝트 정보
예산
40+ USD