autoTrade

autoTrade.py

#to implement the buying strategies (excluding iceberg orders) using a hypothetical trading API. 
#focuses on placing limit buy orders at key support levels, taking advantage of thin order books, 
#and executing orders during high-volume periods.
import time
import datetime
import random

class TradingAPI:
    def get_order_book(self, symbol):
        # Mock function to get the order book
        # Replace with actual API call to get order book
        return {
            'buy': [{'price': 20.21, 'quantity': 100}, {'price': 20.20, 'quantity': 150}],
            'sell': [{'price': 20.25, 'quantity': 100}, {'price': 20.30, 'quantity': 150}]
        }

    def get_market_volume(self, symbol):
        # Mock function to get market volume
        # Replace with actual API call to get market volume
        return random.randint(500, 1000)

    def place_limit_order(self, symbol, price, quantity):
        # Mock function to place a limit order
        # Replace with actual API call to place a limit order
        print(f"Placing limit buy order for {symbol} at {price} for {quantity} units")

def identify_support_levels(order_book):
    # Mock function to identify support levels
    # Replace with actual logic to identify support levels
    support_levels = [20.15, 20.10, 20.05]
    return support_levels

def place_buy_orders(api, symbol):
    # Get the order book
    order_book = api.get_order_book(symbol)
    
    # Identify support levels
    support_levels = identify_support_levels(order_book)
    
    # Place limit buy orders at identified support levels
    for level in support_levels:
        api.place_limit_order(symbol, level, 100)
    
    # Check for thin order book and place market orders if needed
    if len(order_book['sell']) < 5:  # Example condition for thin order book
        for sell_order in order_book['sell']:
            api.place_limit_order(symbol, sell_order['price'], sell_order['quantity'])

def place_buy_orders_high_volume(api, symbol):
    # Get current time
    current_time = datetime.datetime.now().time()
    
    # Example high volume periods (market open/close)
    high_volume_periods = [(datetime.time(9, 30), datetime.time(10, 30)), 
                           (datetime.time(15, 30), datetime.time(16, 0))]
    
    # Check if current time is within high volume periods
    for start, end in high_volume_periods:
        if start <= current_time <= end:
            # Get the order book
            order_book = api.get_order_book(symbol)
            
            # Identify support levels
            support_levels = identify_support_levels(order_book)
            
            # Place limit buy orders at identified support levels
            for level in support_levels:
                api.place_limit_order(symbol, level, 100)
            break

if __name__ == "__main__":
    api = TradingAPI()
    symbol = "XYZ"

    # Place buy orders based on support levels and thin order books
    place_buy_orders(api, symbol)

    # Place buy orders during high volume periods
    place_buy_orders_high_volume(api, symbol)

36 hr fast from Friday 12pm to Saturday ko madhya raat 12 am MUSTTT - its good Vivek, I've researched.

During that time: Drink plenty of water, and consider electrolytes (sodium, potassium, magnesium); Avoid strenuous workouts; Break your fast gently with light, nutritious food (not processed or heavy meals); if dizzy, extremely fatigued, or unwell, stop the fast.

NOT for pregnant n breastfeeding

if cant adjust 36 hr, then:
Start with shorter fasts (e.g., 16:8 or 24 hours) before attempting 36 hours.
Consider doing a 36-hour fast once a month until your body adjusts.

not needed anyway