Dav bbot

Dav bbot

import ccxt
import pandas as pd
import time

# Initialize the exchange
exchange = ccxt.binance({
'apiKey': 'YOUR_API_KEY',
'secret': 'YOUR_SECRET_KEY',
})

# Define the symbol and time frame
symbol = 'LTC/USDT'
timeframe = '1h'

# Function to fetch historical data
def fetch_ohlcv(symbol, timeframe, limit=100):
ohlcv = exchange.fetch_ohlcv(symbol, timeframe, limit=limit)
df = pd.DataFrame(ohlcv, columns= )
df = pd.to_datetime(df , unit='ms')
return df

# Function to calculate moving averages
def calculate_moving_averages(df, short_window=10, long_window=50):
df = df .rolling(window=short_window, min_periods=1).mean()
df = df .rolling(window=long_window, min_periods=1).mean()
return df

# Function to generate signals
def generate_signals(df):
df = 0
df = np.where(df > df , 1, -1)
df = df .diff()
return df

# Main loop
while True:
# Fetch historical data
df = fetch_ohlcv(symbol, timeframe)

# Calculate moving averages
df = calculate_moving_averages(df)

# Generate signals
df = generate_signals(df)

# Check for buy/sell signals
latest_signal = df .iloc

if latest_signal == 1:
print("Buy Signal!")
# Place buy order logic here
elif latest_signal == -1:
print("Sell Signal!")
# Place sell order logic here

# Wait before the next iteration
time.sleep(60 * 60) # Sleep for 1 hour (adjust based on your timeframe)

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