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()
```
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