프리랜스섹션

Trading strategy

MQL5 다른 Forex Strategy modules Python

명시

//@version=5  
strategy("Operator Psychology Trading Strategy with Heikin-Ashi (Auto Risk-Reward)", overlay=true, pyramiding=2, default_qty_type=strategy.fixed, default_qty_value=1)

// Check for the 3-minute timeframe
if (not (timeframe.isintraday and timeframe.period == "3"))
    runtime.error("This strategy can only be run on the 3-minute timeframe.")

// Parameters for ATR, Stop-Loss, Risk Percentage, and Sideways Market Threshold
atrLength = input.int(3, title="ATR Length")  // ATR length set to 3
riskMultiplier = input.float(3, title="Risk Multiplier for Stop-Loss")  // Updated Risk Multiplier to 3
capitalRiskPercent = input.float(2, title="Capital Risk Percentage per Trade", minval=0.1, maxval=100)  // Capital Risk set to 2%
sidewaysThreshold = input.float(1.6, title="Sideways ATR Threshold", minval=0.1)  // Updated Sideways ATR Threshold to 1.6

// Moving Average for Trend Detection
maLength = input.int(6, title="Moving Average Length")  // Updated Moving Average length to 6
ma = ta.sma(close, maLength)

// Heikin-Ashi Candle Calculation
haClose = (open + high + low + close) / 4
var haOpen = (open + close) / 2
haOpen := na(haOpen[1]) ? (open + close) / 2 : (haOpen[1] + haClose[1]) / 2
haHigh = math.max(high, math.max(haOpen, haClose))
haLow = math.min(low, math.min(haOpen, haClose))

// Calculate ATR based on Heikin-Ashi candles
atrValue = ta.atr(atrLength)

// Define the previous and current Heikin-Ashi candle values
prevHaClose = haClose[1]
prevHaHigh = haHigh[1]
prevHaLow = haLow[1]
prevHaOpen = haOpen[1]
currHaClose = haClose
currHaHigh = haHigh
currHaLow = haLow
currHaOpen = haOpen

// Calculate buy and sell volumes using Heikin-Ashi candles
prevBuyVolume = prevHaClose > prevHaOpen ? volume : 0
currBuyVolume = currHaClose > currHaOpen ? volume : 0
prevSellVolume = prevHaClose < prevHaOpen ? volume : 0
currSellVolume = currHaClose < currHaOpen ? volume : 0

// Sideways Market Condition: Check if ATR is below threshold (low volatility)
sidewaysMarket = atrValue < sidewaysThreshold

// Define Buy Signal conditions based on operator psychology using Heikin-Ashi candles and trend confirmation
buyCondition1 = currHaClose > prevHaHigh              // Heikin-Ashi close breaks previous Heikin-Ashi high
buyCondition2 = currBuyVolume > prevBuyVolume         // Current buying volume exceeds previous
buyCondition3 = prevHaClose < currHaOpen              // Previous Heikin-Ashi candle closes lower than current open
buyCondition4 = haClose > ma                          // Close price is above moving average (trend confirmation)
buySignal = buyCondition1 and buyCondition2 and buyCondition3 and buyCondition4 and not sidewaysMarket  // Avoid sideways zones

// Define Sell Signal conditions based on operator psychology using Heikin-Ashi candles and trend confirmation
sellCondition1 = currHaClose < prevHaLow               // Heikin-Ashi close breaks previous Heikin-Ashi low
sellCondition2 = currSellVolume > prevSellVolume       // Current selling volume exceeds previous
sellCondition3 = prevHaClose > currHaOpen              // Previous Heikin-Ashi candle closes higher than current open
sellCondition4 = haClose < ma                          // Close price is below moving average (trend confirmation)
sellSignal = sellCondition1 and sellCondition2 and sellCondition3 and sellCondition4 and not sidewaysMarket  // Avoid sideways zones

// Calculate Stop-Loss and Target Levels for Long and Short Positions
longStopLoss = currHaClose - (atrValue * riskMultiplier)  // Stop-loss for long position
shortStopLoss = currHaClose + (atrValue * riskMultiplier)  // Stop-loss for short position

// **Auto Risk-Reward Ratio**: The Reward (Target) is dynamically calculated based on the risk
rewardRatio = input.float(6, title="Default Risk-Reward Ratio")  // Updated Risk-Reward Ratio to 6
longTarget = currHaClose + (currHaClose - longStopLoss) * rewardRatio  // Target for long position
shortTarget = currHaClose - (shortStopLoss - currHaClose) * rewardRatio  // Target for short position

// Calculate position size based on capital risk and set to auto trade 0.01 lot for XAUUSD
capital = strategy.equity
riskPerTrade = capitalRiskPercent / 100 * capital
longPositionSize = math.max(riskPerTrade / (currHaClose - longStopLoss), 0.01)  // Minimum 0.01 lot for long position
shortPositionSize = math.max(riskPerTrade / (shortStopLoss - currHaClose), 0.01)  // Minimum 0.01 lot for short position

// Strategy Execution: Long Trades
if (buySignal)
    strategy.entry("Long", strategy.long, qty=longPositionSize)
    strategy.exit("Take Profit", "Long", limit=longTarget, stop=longStopLoss)

// Strategy Execution: Short Trades
if (sellSignal)
    strategy.entry("Short", strategy.short, qty=shortPositionSize)
    strategy.exit("Take Profit", "Short", limit=shortTarget, stop=shortStopLoss)

// Plot shapes for buy and sell signals
plotshape(series=buySignal, title="Buy Signal", location=location.belowbar, color=color.blue, style=shape.labelup, text="LONG")
plotshape(series=sellSignal, title="Sell Signal", location=location.abovebar, color=color.red, style=shape.labeldown, text="SHORT")

// Alert conditions for buy and sell signals
alertcondition(buySignal, title="Buy Alert", message="Buy Signal Triggered!")
alertcondition(sellSignal, title="Sell Alert", message="Sell Signal Triggered!")

// Plot the Heikin-Ashi Close price for reference
plot(haClose, color=color.gray, linewidth=1, title="Heikin-Ashi Close")

// Plot moving average for trend reference
plot(ma, color=color.orange, linewidth=1, title="Moving Average (Trend Filter)")


파일:

TXT
algo_trst_m5.txt
5.6 Kb

응답함

1
개발자 1
등급
(132)
프로젝트
178
39%
중재
4
25% / 50%
기한 초과
14
8%
무료
2
개발자 2
등급
(16)
프로젝트
35
23%
중재
4
0% / 50%
기한 초과
2
6%
작업중
3
개발자 3
등급
(5)
프로젝트
5
0%
중재
5
0% / 40%
기한 초과
0
무료
4
개발자 4
등급
(636)
프로젝트
746
34%
중재
49
53% / 39%
기한 초과
14
2%
작업중
5
개발자 5
등급
(31)
프로젝트
44
61%
중재
0
기한 초과
0
무료
6
개발자 6
등급
(78)
프로젝트
248
74%
중재
7
100% / 0%
기한 초과
1
0%
무료
게재됨: 2 기고글, 1 코드
7
개발자 7
등급
(28)
프로젝트
39
23%
중재
14
0% / 93%
기한 초과
4
10%
무료
8
개발자 8
등급
프로젝트
0
0%
중재
0
기한 초과
0
무료
9
개발자 9
등급
(60)
프로젝트
95
42%
중재
4
0% / 100%
기한 초과
4
4%
무료
10
개발자 10
등급
(852)
프로젝트
1470
72%
중재
122
29% / 48%
기한 초과
361
25%
무료
게재됨: 3 기고글
11
개발자 11
등급
(69)
프로젝트
146
34%
중재
13
8% / 62%
기한 초과
26
18%
무료
게재됨: 6 코드
비슷한 주문
SMC Bot Creation 350 - 550 USD
Hello, I am interested in developing a professional MT5 Expert Advisor similar in functionality and technical sophistication to your reference product, Institutional SMC Robot: https://www.mql5.com/en/market/product/187011 I want to develop my own independent EA based on advanced Smart Money Concepts (SMC), with a strong focus on institutional price action, liquidity and market structure. The key functionalities I
Anyone knows what the problem might be ?? 30+ USD
(I can't pay 30 for this of course if you can just help.me solve this problem I would appreciate you )It was doing everything perfectly until yesterday this happened this is a python file that copies from telegram Iand send to ea signal if you have any idea what to do or why this happened please tell me
Python Bybit Pump & Dump Early Detection Engine – $1,000 1000+ USD
PROJECT: BYBIT PUMP & DUMP EARLY DETECTION ENGINE Fixed Budget: USD $1,000 – Complete Project I am looking for an experienced quantitative trading developer to design, develop, validate and deliver a professional standalone Python 3.12 module for detecting early pump and dump movements on Bybit USDT perpetual futures. IMPORTANT: This is NOT an MT4/MT5 indicator, Expert Advisor or a request to build a complete trading
Custom MT5 Expert Advisor: Full-Body Engulfing Scalper with ATR Risk & Optional Trailing Buffer 30+ USD
​I am looking for an experienced MQL5 developer to build a fully automated MetaTrader 5 Expert Advisor (EA) optimized primarily for XAUUSD (Gold), featuring a clean Tkinter-style telemetry dashboard control concept or customizable input parameters. ​1. Core Strategy Rules (Full-Body Engulfing) ​Signal Identification: The EA must scan completed candles across multiple selectable timeframes (e.g., 1M, 5M, 15M, 30M, 1H)
Exir AI 30 - 200 USD
I need an experienced MQL5 developer to build a custom AI-assisted Expert Advisor (EA) for MetaTrader 5. The EA will run on a live MT5 account with Tickmill and must support Forex and Crypto CFDs. Required instruments: - EURUSD - GBPUSD - USDJPY - XAUUSD - BTCUSD - ETHUSD Required timeframes: - M5, M15, and M30 Trading logic: - M30 determines the overall trend. - M15 identifies entry zones, support/resistance, and
Best trader robot 499 - 550 USD
Objective: Develop a robust and highly profitable Expert Advisor (EA) for MetaTrader based on a precise custom trading strategy to achieve a high win rate. ​ Instrument & Timeframe: XAUUSD (Gold), optimized for M5 / M15 timeframes. ​ Entry Strategy: Open Buy/Sell orders based on strict confirmation signals (e.g., Moving Average crossover combined with Price Action or RSI threshold). ​ Lot Size & Risk Management
Sviluppo EA XAUUSD M1 con Buy/Sell Stop e trailing stop 30 - 150 USD
Titolo: Cerco sviluppatore per EA su XAUUSD M1 per conto reale Cerco uno sviluppatore MQL5 per creare un Expert Advisor per MetaTrader 5 su XAUUSD M1, da utilizzare su conto reale con deposito iniziale di 100–200 €. La strategia prevede un Buy Stop a 1,00 sopra l’Ask e un Sell Stop a 1,00 sotto il Bid, entrambi con stop loss iniziale di 1,00 e senza take profit fisso. I pendenti devono restare fermi: quando uno viene
Convert tradingview pinescript to mt5 ea 30+ USD
Platform: MT5 only (no MT4 needed). Deliverable: an MT5 Expert Advisor with full source code (.mq5) that replicates the attached TradingView strategy (Pine Script v6, based on LuxAlgo's "ICT Killzones Toolkit" order blocks) as exactly as possible. Pasting the code into TradingView shows how it operates. I normally trade GBPUSD on the 5-minute chart Expected behavior: - Order block detection must match the Pine code
Fix and Optimize Forex Expert Advisor for USDJPY and GBPUSD 30 - 120 USD
Requirements Specification: Debug & Error Fixing: Review the entire source code of the MQL expert advisor. Identify and fix all logical errors, bugs, and performance issues that cause trades to close prematurely or yield extremely low profits. Strategy Restructuring & Optimization: Fully analyze and optimize the current entry and exit strategy for USDJPY and GBPUSD. Modify, upgrade, or completely rewrite the entry
Winter 500+ USD
I am looking for an MQL5 developer to independently review an existing EA’s execution and position management logic. The review should focus on duplicate orders, trade isolation by symbol and magic number, broker price and volume constraints, error handling, and recovery after a terminal restart. This order is for an audit report. Please do not modify the source or change the trading strategy. For each finding

프로젝트 정보

예산
100 - 200 USD
기한
에서 1 로 100 일