EA developer for gold trading bot

명시

Below is the pine eidtor script convert it to MQL5 coding language and create bot based on following condition

1. This all should be on 5-minute chart timeframe 

2. For Buy side, buy after closing of second candle when buy signal is given and hold buy position until sell signal is given.

3. For sell side, sell after closing of second candle when sell signal is given and hold sell position until next buy signal will be given.

4. Stoploss should be the low of previous 4 candles after giving buy signal

5. for buy position lot size should be 0.01

6. for sell position lot size should be 0.01


//@version=5
strategy("Gold Bot", overlay=true)

// Inputs
a = input(2, title='Key Value (Sensitivity)')
c = input(1, title='ATR Period')
h = input(false, title='Signals from Heikin Ashi Candles')

// EMA Smoothing Inputs
len = input.int(9, minval=1, title="EMA Length")
offset = input.int(title="Offset", defval=0, minval=-500, maxval=500, display=display.data_window)
typeMA = input.string(title="Smoothing Method", defval="SMA", options=["SMA", "EMA", "SMMA (RMA)", "WMA", "VWMA"], group="Smoothing", display=display.data_window)
smoothingLength = input.int(title="Smoothing Length", defval=5, minval=1, maxval=100, group="Smoothing", display=display.data_window)

// ATR Calculation
xATR = ta.atr(c)
nLoss = a * xATR

// Source Selection
src = h ? request.security(ticker.heikinashi(syminfo.tickerid), timeframe.period, close, lookahead=barmerge.lookahead_off) : close

// ATR Trailing Stop Calculation
xATRTrailingStop = 0.0
iff_1 = src > nz(xATRTrailingStop[1], 0) ? src - nLoss : src + nLoss
iff_2 = src < nz(xATRTrailingStop[1], 0) and src[1] < nz(xATRTrailingStop[1], 0) ? math.min(nz(xATRTrailingStop[1]), src + nLoss) : iff_1
xATRTrailingStop := src > nz(xATRTrailingStop[1], 0) and src[1] > nz(xATRTrailingStop[1], 0) ? math.max(nz(xATRTrailingStop[1]), src - nLoss) : iff_2

// Position Calculation
pos = 0
iff_3 = src[1] > nz(xATRTrailingStop[1], 0) and src < nz(xATRTrailingStop[1], 0) ? -1 : nz(pos[1], 0)
pos := src[1] < nz(xATRTrailingStop[1], 0) and src > nz(xATRTrailingStop[1], 0) ? 1 : iff_3

// EMA Calculation
ema = ta.ema(src, len)

// Smoothing Calculation
smoothingLine = switch typeMA
    "SMA" => ta.sma(ema, smoothingLength)
    "EMA" => ta.ema(ema, smoothingLength)
    "SMMA (RMA)" => ta.rma(ema, smoothingLength)
    "WMA" => ta.wma(ema, smoothingLength)
    "VWMA" => ta.vwma(ema, smoothingLength)

// Buy and Sell Conditions
above = ta.crossover(ema, xATRTrailingStop)
below = ta.crossover(xATRTrailingStop, ema)
buy = src > xATRTrailingStop and above
sell = src < xATRTrailingStop and below

// Stop Loss Calculation
stopLossLevel = ta.lowest(low, 3)

// Strategy Execution
if (buy)
    strategy.entry("Long", strategy.long, stop=stopLossLevel)

if (sell)
    strategy.close("Long")

// Plotting
plot(ema, title="EMA", color=color.blue, offset=offset)
plot(smoothingLine, title="Smoothing Line", color=#f37f20, offset=offset)
plotshape(buy, title='Buy', text='Buy', style=shape.labelup, location=location.belowbar, color=color.new(color.green, 0), textcolor=color.new(color.white, 0), size=size.tiny)
plotshape(sell, title='Sell', text='Sell', style=shape.labeldown, location=location.abovebar, color=color.new(color.red, 0), textcolor=color.new(color.white, 0), size=size.tiny)

barcolor(src > xATRTrailingStop ? color.green : na)
barcolor(src < xATRTrailingStop ? color.red : na)

// Alerts
alertcondition(buy, 'UT Long', 'UT Long')
alertcondition(sell, 'UT Short', 'UT Short')


응답함

1
개발자 1
등급
(328)
프로젝트
513
19%
중재
35
43% / 31%
기한 초과
34
7%
로드됨
2
개발자 2
등급
(22)
프로젝트
21
10%
중재
4
25% / 75%
기한 초과
0
무료
3
개발자 3
등급
(13)
프로젝트
18
11%
중재
6
33% / 67%
기한 초과
1
6%
무료
게재됨: 1 코드
4
개발자 4
등급
(274)
프로젝트
403
28%
중재
40
40% / 50%
기한 초과
1
0%
무료
5
개발자 5
등급
(40)
프로젝트
55
62%
중재
2
50% / 50%
기한 초과
0
무료
6
개발자 6
등급
프로젝트
1
0%
중재
4
0% / 50%
기한 초과
0
작업중
7
개발자 7
등급
(7)
프로젝트
8
13%
중재
3
0% / 67%
기한 초과
2
25%
무료
8
개발자 8
등급
(8)
프로젝트
8
0%
중재
2
50% / 0%
기한 초과
1
13%
작업중
9
개발자 9
등급
(2)
프로젝트
2
0%
중재
0
기한 초과
0
무료
10
개발자 10
등급
(78)
프로젝트
246
74%
중재
7
100% / 0%
기한 초과
1
0%
무료
게재됨: 1 기고글
11
개발자 11
등급
(7)
프로젝트
8
0%
중재
4
0% / 100%
기한 초과
3
38%
무료
12
개발자 12
등급
프로젝트
0
0%
중재
0
기한 초과
0
무료
13
개발자 13
등급
프로젝트
0
0%
중재
0
기한 초과
0
무료
14
개발자 14
등급
(3)
프로젝트
4
0%
중재
4
25% / 75%
기한 초과
1
25%
무료
15
개발자 15
등급
(298)
프로젝트
478
40%
중재
105
40% / 24%
기한 초과
82
17%
로드됨
게재됨: 2 코드
비슷한 주문
Specification : 1. Goal I am commissioning a mean-reversion grid Expert Advisor for XAUUSD on MT5. The deliverable is the complete, commented .mq5 source (strictly personal usel). Offers limited to compiled .ex5 will not be considered. 2. Required framework (non-negotiable) 2.1. Works natively on M5; signals evaluated on closed bars; symmetric long/short. 2.2. Entry logic built on Bollinger Bands + Moving Average
TumiiFX 30 - 20000 USD
1. Use two EMAs: 20 and 50. If EMA 20 is above EMA 50 → uptrend (look for buys) If EMA 20 is below EMA 50 → downtrend (look for sells) 2. Wait for a pullback into the area between the two EMAs. - For buys: price must touch or move between EMA 20 and EMA 50 during the last few candles. - For stils: same idea, but in a downtrend. 3. Entry signal: Buy: a bullish engulfing candle in an uptrend after the pullback
Bot 30 - 80 USD
I am looking for an experienced MQL5 developer to create a fully automated Expert Advisor (EA) for MetaTrader 5 based on a Price Action strategy. The bot needs to automatically identify specific candlestick formations and market structure levels, execute trades, and manage risk using a dynamic trailing stop.The EA should monitor the chart for the following price action setup:Market Structure / Trend Filter:The bot
I am looking for an experienced MQL5 developer to build a high-frequency (HFT) latency arbitrage Expert Advisor for Pepperstone MT5 , using LMAX as the leading price feed. The initial focus will be on US30 (Dow Jones) , and if the strategy proves successful, I want the EA to be easily expandable to additional symbols such as NAS100, GER40, XAUUSD, major forex pairs, and other supported instruments. The EA should
Master mind 30+ USD
Start ↓ Detect Trend (H4) ↓ Confirm Structure (H1) ↓ Wait for Pullback ↓ Check Indicators ↓ Calculate Confidence Score ↓ Score ≥ 80? ├── No → Wait └── Yes ↓ Calculate Lot Size ↓ Place Order ↓ Set Stop Loss ↓ Set Take Profit ↓ Manage Trade ↓ Move to Break-even ↓ Trail Stop ↓ Close Trade. IF Price > EMA200 (H4) AND EMA50 > EMA200 (H4) AND ADX > 25 AND RSI between 55 and 70 AND MACD Main > Signal AND Bullish engulfing
A robot 50+ USD
HIGH-FREQUENCY M5/M15 CONCURRENT ENTRY SNIPER import time class HighFrequencySniper: def __init__(self): self.target_profit = 25.00 # Targeted Delta Move self.max_execution_time = 3600 # 1 Hour Sandbox (Seconds) self.lot_allocation = "CALIBRATED_TO_RISK" def execute_hft_scan(self, current_price, m5_rsi, m15_order_block): print(f"[SCANNING] Current Kernel Metric: ${current_price:.2f
# HIGH-FREQUENCY M5/M15 CONCURRENT ENTRY SNIPER import time class HighFrequencySniper: def __init__(self): self.target_profit = 25.00 # Targeted Delta Move self.max_execution_time = 3600 # 1 Hour Sandbox (Seconds) self.lot_allocation = "CALIBRATED_TO_RISK" def execute_hft_scan(self, current_price, m5_rsi, m15_order_block): print(f"[SCANNING] Current Kernel Metric: ${current_price:.2f}")
I need a trading bot, please i need this project urgently and when messaing me kindly send me samples of past works and dont forget i need the project to be done as soon as possible
*Need an MQL5 EA for MT5 to trade gold and forex automatically. Must include Stop Loss, Take Profit, and basic risk management. Budget is $30 to $50. Looking for clean, stable code that works on VPS.*
Hello Developers, I am looking for an experienced MQL5 developer to complete the development of a custom MetaTrader 5 Expert Advisor (EA) based on my proprietary trading strategy. I already have a partially developed EA that includes the required custom indicators and part of the trading logic. The project can either be completed by modifying the existing EA or, if more appropriate, by rebuilding it from scratch

프로젝트 정보

예산
30 - 50 USD
기한
에서 1  3 일