如何一次运行 3 个不同的 function

Question

here's the requirement, I'm not so sure if I'm doing this right or wrong and I have code paste down below.

so my question is I'm not so sure how to make this 3 function works together all at the once and when I tried to run it, this " file = open("/home/ubuntu/environment/hw5/" + tickers + ".txt") TypeError: must be str, not list" keep showing up and I don't know how to fixed it

Create a function called meanReversionStrategy which takes a list called “prices” as an argument. The function runs a mean reversion strategy, and outputs to the console the buys and sells of the strategy (like you did in HW4). The function returns the profit and final returns percentage.

-Create a function called simpleMovingAverageStrategy which takes a list called “prices” as an argument. The function runs a Simple Moving Average strategy, and outputs to the console the buys and sells of the strategy. The function returns the profit and final returns percentage.

-Create a function called saveResults which takes a dictionary as an argument. Save the dictionary to a json file called “results.json”.

the basic logic, explained above, will look like this

this logic is not complete, but you are allowed to copy/paste and start with this

define function meanReversionStrategy

run strategy and output buys/sells, final profit, and final percentage returns

return profit and returns

define function simpleMovingAverageStrategy

run strategy and output buys/sells, final profit, and final percentage returns

return profit and returns

define function saveResults

create list to store 10 tickers

create dictionary called results to store prices, profits and return percentages

loop through the list of tickers

for ticker in tickers:

-load prices from a file.txt, and store them in the results dictionary with the

key “_prices”

-call meanReversionStrategy(prices) and store the profit and returns in the results

dictionary with the keys “_mr_profit” and “_mr_returns”

-call simpleMovingAverageStrategy(prices) and store the profit and returns in the

results dictionary with the keys “_sma_profit” and “_sma_profit”

with the keys “ticker_mr_profit” and “ticker_mr_returns”

call saveResults(results) and save the results dictionary to a file called results.json

Create a function called meanReversionStrategy which takes a list called “prices” as an argument. The function runs a mean reversion strategy, and outputs to the console the buys and sells of the strategy (like you did in HW4). The function returns the profit and final returns percentage.

-Create a function called simpleMovingAverageStrategy which takes a list called “prices” as an argument. The function runs a Simple Moving Average strategy, and outputs to the console the buys and sells of the strategy. The function returns the profit and final returns percentage.

-Create a function called saveResults which takes a dictionary as an argument. Save the dictionary to a json file called “results.json”.

the basic logic, explained above, will look like this

this logic is not complete, but you are allowed to copy/paste and start with this

define function meanReversionStrategy

run strategy and output buys/sells, final profit, and final percentage returns

return profit and returns

define function simpleMovingAverageStrategy

run strategy and output buys/sells, final profit, and final percentage returns

return profit and returns

define function saveResults

create list to store 10 tickers

create dictionary called results to store prices, profits and return percentages

loop through the list of tickers

for ticker in tickers:

-load prices from a file.txt, and store them in the results dictionary with the

key “_prices”

-call meanReversionStrategy(prices) and store the profit and returns in the results

dictionary with the keys “_mr_profit” and “_mr_returns”

-call simpleMovingAverageStrategy(prices) and store the profit and returns in the

results dictionary with the keys “_sma_profit” and “_sma_profit”

with the keys “ticker_mr_profit” and “ticker_mr_returns”

call saveResults(results) and save the results dictionary to a file called results.json

def meanReversionStrategy(prices):
    
    total_profit = 0
    first_buy = None
    buy = 0
    for i in range(len(prices)):  
        
        
        if i >= 5: 
            current_price = prices[i]  
            moving_average = (prices[i-1] + prices[i-2] + prices[i-3] + prices[i-4] +prices[i-5]) / 5
        
            if current_price < moving_average * 0.95 and buy == 0:
                buy = current_price
                print("buy at:  ",round (current_price,2))  
                if first_buy is None:
                    first_buy = buy
                                
    
            elif current_price > moving_average * 1.05 and buy != 0:    
                
                print("sell at: ", round(current_price,2))
                print("trade profit:  ", round(current_price - buy,2))
                total_profit = current_price - buy
                buy = 0
            
            
    final_profit_percentage = ( total_profit / first_buy ) * 100 
    print("First buy: " ,  round(first_buy,2))
    print("Total profit: " , round(total_profit, 2))
    print("Percentage return: ", round(final_profit_percentage, 2),"%")  

def simpleMovingAverageStrategy(prices):
    i = 0
    buy = 0
    total_profit = 0
    first_buy = 0
    for p in prices:
        if i >= 5: 
            moving_average = (prices[i-1] + prices[i-2] + prices[i-3] + prices[i-4] + 
    prices[i-5]) / 5
            
            #simple moving average logic, not mean
            if p > moving_average and buy == 0: #buy
                print("buying at: ", p)
                buy = p
                if first_buy == 0:
                    first_buy = p
            elif p < moving_average and buy != 0: #sell
                print("selling at: ", p)
                print("trade profit: ", p - buy)
                total_profit += p - buy
                buy = 0
        i += 1
        
    final_percentage = (total_profit / first_buy) * 100
    print("first buy: ", first_buy)
    print("total profit: ", total_profit)
    print("final percentage: ", final_percentage, "%")
    
    return total_profit, final_percentage
                
tickers = ["AAPL1" , "ADBE" , "BA", "CMCSA", "CSCO", "CVS", "GOOG", "TLSYY","TM"]

file = open("/home/ubuntu/environment/hw5/" + tickers + ".txt")
lines = file.readlines()
# print(lines)
prices = []
for line in lines:
    prices.append(float(line))
    
    
profit, returns = simpleMovingAverageStrategy(prices)

results = {}
results["AAPL1_profit"] =profit
results["AAPL1_returns"] = returns

json.dump(results, open("/home/ubuntu/environment/hw5/results.json", "w") )```

Answer 1

You can call the function you want inside a function with parameters.

eg: def average (price1, price2): *the parameters avg=(price1+price2)/2 return avg

def simpleMovingAverageStrategy(prices): *your code average(price1,price2)

*Pardon me my coding is a bit rusty