Specifiche

# Import necessary libraries
import pandas as pd

# Define parameters
stop_loss_percentage = 0.02  # Set stop loss percentage (2% in this example)
take_profit_percentage = 0.05  # Set take profit percentage (5% in this example)

# Read historical price data
df = pd.read_csv("historical_data.csv")  # Replace with your historical data file or API integration

# Calculate moving averages
df['SMA_50'] = df['Close'].rolling(window=50).mean()
df['SMA_200'] = df['Close'].rolling(window=200).mean()

# Initialize variables
position = None
entry_price = 0.0

# Start trading loop
for i in range(200, len(df)):
    current_price = df['Close'].iloc[i]

    # Check for entry conditions
    if position is None and df['SMA_50'].iloc[i] > df['SMA_200'].iloc[i]:
        position = 'long'
        entry_price = current_price
        print(f"Enter long position at {entry_price}")

    elif position is None and df['SMA_50'].iloc[i] < df['SMA_200'].iloc[i]:
        position = 'short'
        entry_price = current_price
        print(f"Enter short position at {entry_price}")

    # Check for exit conditions
    if position == 'long' and current_price >= (1 + take_profit_percentage) * entry_price:
        position = None
        exit_price = current_price
        print(f"Exit long position at {exit_price}")
        profit = exit_price - entry_price
        print(f"Profit: {profit}")

    elif position == 'long' and current_price <= (1 - stop_loss_percentage) * entry_price:
        position = None
        exit_price = current_price
        print(f"Exit long position at {exit_price}")
        loss = exit_price - entry_price
        print(f"Loss: {loss}")

    elif position == 'short' and current_price <= (1 - take_profit_percentage) * entry_price:
        position = None
        exit_price = current_price
        print(f"Exit short position at {exit_price}")
        profit = entry_price - exit_price
        print(f"Profit: {profit}")

    elif position == 'short' and current_price >= (1 + stop_loss_percentage) * entry_price:
        position = None
        exit_price = current_price
        print(f"Exit short position at {exit_price}")
        loss = entry_price - exit_price
        print(f"Loss: {loss}")

Con risposta

1
Sviluppatore 1
Valutazioni
(2)
Progetti
2
0%
Arbitraggio
1
0% / 0%
In ritardo
2
100%
Gratuito
2
Sviluppatore 2
Valutazioni
(43)
Progetti
66
12%
Arbitraggio
12
58% / 42%
In ritardo
1
2%
Gratuito
3
Sviluppatore 3
Valutazioni
(35)
Progetti
50
42%
Arbitraggio
3
33% / 33%
In ritardo
4
8%
Gratuito
4
Sviluppatore 4
Valutazioni
(6)
Progetti
10
50%
Arbitraggio
6
17% / 50%
In ritardo
3
30%
In elaborazione
5
Sviluppatore 5
Valutazioni
(5)
Progetti
4
50%
Arbitraggio
4
0% / 75%
In ritardo
0
Gratuito
Ordini simili
Metafix 50 - 200 USD
Here is a professional specification you can send directly to your developer. # Project Requirements Specification: MetaTrader 5 Trading Robot Development ### 1. Project Overview I want to develop an automated Forex trading robot (Expert Advisor) for MetaTrader 5 (MT5). The robot should analyse the financial markets, identify trading opportunities, and execute trades automatically based on predefined strategies. ###
Forex Hunter MT5 30 - 250 USD
ثبت طلبك في مواصفات البوت الثاني كذا: الجودة والأمان أهم من السعر، وما يدخل إلا إذا الفرصة قوية، مع حماية عند الخسائر وانقطاع الاتصال وارتفاع السبريد، وتشغيل مستمر على سيرفر، مع اختبارات إلزامية قبل أي تشغيل حقيقي. بهذه الصيغة يصير يشتغل وأنت مرتاح بالِك، لكنه يوقف تلقائيًا وقت عطلة السوق أو أي خلل. بس أكون واضح معك: ما في بوت يضمن عدم الخسارة، خصوصًا بالمضاربات السريعة، هدفنا نقلل المخاطر ونمنع الخسائر غير المنضبطة
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
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
Hello, I am an independent developer selling an Expert Advisor (EA) on the MQL5 Market. I am looking for an experienced Forex affiliate marketing company or professional marketer to promote my existing MT5 trading robot to customers worldwide. My proposed partnership offers a 35% commission per verified sale, with the possibility of a long-term collaboration. I would like to know: Do you promote third-party MT5

Informazioni sul progetto

Budget
30+ USD
Scadenze
da 1 a 2 giorno(i)