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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
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(2)
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2
0%
Arbitraggio
1
0% / 0%
In ritardo
2
100%
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2
Sviluppatore 2
Valutazioni
(43)
Progetti
66
12%
Arbitraggio
12
58% / 42%
In ritardo
1
2%
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3
Sviluppatore 3
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(35)
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50
42%
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3
33% / 33%
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4
8%
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4
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10
50%
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6
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3
30%
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5
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4
50%
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4
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0
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Ordini simili
Professional AI Automation Trading Bot for Forex & Crypto 500 - 1500 USD
Title Professional AI Automation Trading Bot for Forex & Crypto Solution Language Python (preferred) or MQL5 depending on integration requirements. Categories Expert Advisor (EA) for MetaTrader 5 Automated trading strategies AI/ML-based signal generation Risk management automation Required Skills Strong knowledge of MQL5/Python Experience with MetaTrader API integration Machine learning model deployment

Informazioni sul progetto

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