Germany

This is my Python script so far, Make it work on BITGET :import ccxtimport pandas as pdimport taimport time # Set up exchange with API keys for leveraged tradingexchange = ccxt.binance({&nbsp;&nbsp;'apiKey': 'your_api_key',&nbsp;&nbsp;'secret': 'your_secret_key',&nbsp;&nbsp;'options': {'defaultType': 'future'},&nbsp;# Enable futures trading}) symbol = 'BTC/USDT'leverage = 10&nbsp;# Leverage levelexchange.fapiPrivate_post_leverage({'symbol': symbol.replace('/', ''), 'leverage': leverage}) # Parameters for trading strategymacd_short = 12macd_long = 26macd_signal = 9rsi_period = 14overbought = 70oversold = 30stop_loss_pct = 0.01take_profit_pct = 0.02 # Placeholder for All-Time High (ATH) Funding Ratefunding_rate_ath = 0.02&nbsp;# Example: 2% ATH funding rate, this should ideally be fetched dynamically # Fetch historical price datadef fetch_data(symbol, timeframe='5m', limit=200):&nbsp;&nbsp;bars = exchange.fetch_ohlcv(symbol, timeframe=timeframe, limit=limit)&nbsp;&nbsp;df = pd.DataFrame(bars, columns=['timestamp', 'open', 'high', 'low', 'close', 'volume'])&nbsp;&nbsp;df['timestamp'] = pd.to_datetime(df['timestamp'], unit='ms')&nbsp;&nbsp;return df # Apply indicators for strategydef apply_indicators(df):&nbsp;&nbsp;# MACD&nbsp;&nbsp;df['MACD'] = ta.trend.macd(df['close'], window_slow=macd_long, window_fast=macd_short)&nbsp;&nbsp;df['MACD_signal'] = ta.trend.macd_signal(df['close'], window_slow=macd_long, window_fast=macd_short, window_sign=macd_signal)&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;# RSI&nbsp;&nbsp;df['RSI'] = ta.momentum.rsi(df['close'], window=rsi_period)&nbsp;&nbsp;df.dropna(inplace=True)&nbsp;&nbsp;return df # Placeholder function to fetch current funding ratedef get_funding_rate(symbol):&nbsp;&nbsp;# Replace this with actual API call to get current funding rate&nbsp;&nbsp;return 0.018&nbsp;# Example current funding rate, slightly below ATH # Generate buy/sell signals based on indicators and funding rate ATHdef get_signal(df):&nbsp;&nbsp;macd = df['MACD'].iloc[-1]&nbsp;&nbsp;macd_signal = df['MACD_signal'].iloc[-1]&nbsp;&nbsp;rsi = df['RSI'].iloc[-1]&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;# Get current funding rate&nbsp;&nbsp;current_funding_rate = get_funding_rate(symbol)&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;# Check if funding rate is near ATH&nbsp;&nbsp;funding_rate_near_ath = current_funding_rate &gt;= 0.9 * funding_rate_ath&nbsp;# 90% of ATH &nbsp;&nbsp;# Define trading signal logic&nbsp;&nbsp;if macd &gt; macd_signal and rsi &lt; overbought:&nbsp;&nbsp;&nbsp;&nbsp;return 'buy'&nbsp;&nbsp;elif macd &lt; macd_signal and rsi &gt; oversold and funding_rate_near_ath:&nbsp;&nbsp;&nbsp;&nbsp;return 'sell'&nbsp;# Short signal when funding rate is close to ATH&nbsp;&nbsp;return 'hold' # Place orders with stop-loss and take-profitdef place_order(signal, symbol, amount):&nbsp;&nbsp;try:&nbsp;&nbsp;&nbsp;&nbsp;price = exchange.fetch_ticker(symbol)['close'] &nbsp;&nbsp;&nbsp;&nbsp;if signal == 'buy':&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;stop_loss = price * (1 - stop_loss_pct)&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;take_profit = price * (1 + take_profit_pct)&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;print(f"Placing BUY order at {price}, Stop-Loss: {stop_loss}, Take-Profit: {take_profit}")&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;# Uncomment to place a real buy order&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;# exchange.create_market_buy_order(symbol, amount)&nbsp;&nbsp;&nbsp;&nbsp;elif signal == 'sell':&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;stop_loss = price * (1 + stop_loss_pct)&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;take_profit = price * (1 - take_profit_pct)&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;print(f"Placing SELL order at {price}, Stop-Loss: {stop_loss}, Take-Profit: {take_profit}")&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;# Uncomment to place a real sell order&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;# exchange.create_market_sell_order(symbol, amount)&nbsp;&nbsp;except Exception as e:&nbsp;&nbsp;&nbsp;&nbsp;print(f"Error placing order: {e}") # Main function to run the botdef run_bot():&nbsp;&nbsp;amount = 0.001&nbsp;# Position size &nbsp;&nbsp;while True:&nbsp;&nbsp;&nbsp;&nbsp;df = fetch_data(symbol)&nbsp;&nbsp;&nbsp;&nbsp;df = apply_indicators(df)&nbsp;&nbsp;&nbsp;&nbsp;signal = get_signal(df) &nbsp;&nbsp;&nbsp;&nbsp;place_order(signal, symbol, amount)&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;time.sleep(300)&nbsp;# Run every 5 minutes # Start the botrun_bot()

Truelancer

Someone who refines my trading bot and make it work on the online broker Bitget

About the Client

Useful links

Company

Information

Content Writers

Freelancers

Freelance Jobs

Online Jobs

Designers

Developers

Translations