Moving average
import ccxt
import pandas as pd
# Set up exchange and symbol
exchange = ccxt.binance()
symbol = 'EUR/USD'
# Set up MA parameters
short_term_ma_period = 50
long_term_ma_period = 200
# Define the bot's logic
def ma_crossover_bot(data):
# Calculate short-term and long-term MA
short_term_ma = data['close'].rolling(window=short_term_ma_period).mean()
long_term_ma = data['close'].rolling(window=long_term_ma_period).mean()
# Check for buy signal
if short_term_ma.iloc[-1] > long_term_ma.iloc[-1] and short_term_ma.iloc[-2] < long_term_ma.iloc[-2]:
return 'Buy'
# Check for sell signal
elif short_term_ma.iloc[-1] < long_term_ma.iloc[-1] and short_term_ma.iloc[-2] > long_term_ma.iloc[-2]:
return 'Sell'
# No signal, do nothing
else:
return 'Do Nothing'
# Set up the bot to run on each new candle
def run_bot():
data = exchange.fetch_ohlcv(symbol, timeframe='1m')
df = pd.DataFrame(data, columns=['time', 'open', 'high', 'low', 'close', 'volume'])
signal = ma_crossover_bot(df)
if signal == 'Buy':
exchange.place_order(symbol, 'buy', 0.1)
elif signal == 'Sell':
exchange.place_order(symbol, 'sell', 0.1)
# Run the bot
run_bot()
```
import pandas as pd
# Set up exchange and symbol
exchange = ccxt.binance()
symbol = 'EUR/USD'
# Set up MA parameters
short_term_ma_period = 50
long_term_ma_period = 200
# Define the bot's logic
def ma_crossover_bot(data):
# Calculate short-term and long-term MA
short_term_ma = data['close'].rolling(window=short_term_ma_period).mean()
long_term_ma = data['close'].rolling(window=long_term_ma_period).mean()
# Check for buy signal
if short_term_ma.iloc[-1] > long_term_ma.iloc[-1] and short_term_ma.iloc[-2] < long_term_ma.iloc[-2]:
return 'Buy'
# Check for sell signal
elif short_term_ma.iloc[-1] < long_term_ma.iloc[-1] and short_term_ma.iloc[-2] > long_term_ma.iloc[-2]:
return 'Sell'
# No signal, do nothing
else:
return 'Do Nothing'
# Set up the bot to run on each new candle
def run_bot():
data = exchange.fetch_ohlcv(symbol, timeframe='1m')
df = pd.DataFrame(data, columns=['time', 'open', 'high', 'low', 'close', 'volume'])
signal = ma_crossover_bot(df)
if signal == 'Buy':
exchange.place_order(symbol, 'buy', 0.1)
elif signal == 'Sell':
exchange.place_order(symbol, 'sell', 0.1)
# Run the bot
run_bot()
```
Disclaimer
The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by TradingView. Read more in the Terms of Use.
Disclaimer
The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by TradingView. Read more in the Terms of Use.