player_2.py

def player_2(start_index=0, sleep=False, sleep_time=1, plot=False, output=True, miss_output=False, miss_plot=False, show_exception=True):
    user_key, day_info, amount, invested, profit, loss, game_active = bitcoin_game(start_index=start_index)

    peak_price = day_info[1]
    min_price = day_info[4]
    max_price = day_info[5]
    mean_price = day_info[6]
    invest = None
    max_profit = invested

    total_profit = 0
    max_profit = 0

    week_counter = 0
    week_predictions = [day_info[-1]]

    dys_with_loss = 0
    dys_with_profit = 0

    hold = True
    withdrawn = False

    while game_active == False:
        if invest == None:
            invest = initial_investment = amount/2
            user_key, day_info, amount, invested, profit, loss, game_active = bitcoin_game(user_key=user_key, invest_amount=invest)

            if game_active == True:
                break
        elif hold == True:
            user_key, day_info, amount, invested, profit, loss, game_active = bitcoin_game(user_key=user_key)

            if game_active == True:
                break
        elif hold == False:
            user_key, day_info, amount, invested, profit, loss, game_active = bitcoin_game(user_key=user_key, invest_amount=amount/4)

            if game_active == True:
                break
        if day_info[1] > peak_price:
            peak_price = day_info[1]

        if profit > 0:
            dys_with_profit += 1
            dys_with_loss = 0
        elif loss > 0:
            dys_with_profit = 0
            dys_with_loss += 1

        if invested > max_profit:
            max_profit = invested
            amount_lost = 0
            hold = False
        else:
            amount_lost = max_profit - invested
            hold = True

        total_profit += (profit - loss)
        if total_profit > max_profit:
            max_profit = total_profit

        count_dips = len([x for x in week_predictions if x < 0])
        count_ups = len([x for x in week_predictions if x >= 0])

        loss_25 = amount_lost > (initial_investment/4)
        loss_10 = amount_lost > (initial_investment/10)

        if loss_25:
            #withdraw 25%
            user_key, day_info, amount, invested, profit, loss, game_active = bitcoin_game(user_key=user_key, withdraw_amount=invested/4)

            if game_active == True:
                break

            max_profit = invested
            withdrawn = True
        elif withdrawn and loss_10 and dys_with_profit > 3:
            #invest 25%
            withdrawn = False
            user_key, day_info, amount, invested, profit, loss, game_active = bitcoin_game(user_key=user_key, invest_amount=amount/4)

            if game_active == True:
                break

        if count_ups > count_dips and dys_with_profit > 3:
            user_key, day_info, amount, invested, profit, loss, game_active = bitcoin_game(user_key=user_key, invest_amount=amount/4)

            if game_active == True:
                break
        elif count_ups > count_dips and dys_with_profit > 0:
            user_key, day_info, amount, invested, profit, loss, game_active = bitcoin_game(user_key=user_key, invest_amount=amount/10)

            if game_active == True:
                break
        elif count_dips < count_ups and dys_with_loss > 3:
            user_key, day_info, amount, invested, profit, loss, game_active = bitcoin_game(user_key=user_key, withdraw_amount=invested/4)

            if game_active == True:
                break
        elif count_dips < count_ups and dys_with_loss > 0:
            user_key, day_info, amount, invested, profit, loss, game_active = bitcoin_game(user_key=user_key, withdraw_amount=invested/10)

            if game_active == True:
                break
        elif count_dips == count_ups and dys_with_profit > 3:
            user_key, day_info, amount, invested, profit, loss, game_active = bitcoin_game(user_key=user_key, invest_amount=amount/4)

            if game_active == True:
                break
        elif count_ups == count_dips and dys_with_profit >0:
            user_key, day_info, amount, invested, profit, loss, game_active = bitcoin_game(user_key=user_key, invest_amount=amount/10)

            if game_active == True:
                break
        elif count_ups == count_dips and dys_with_profit == 0 and dys_with_loss == 0:
            pass
        elif count_ups > count_dips and dys_with_profit == 0 and dys_with_loss == 0:
            pass
        elif count_ups < count_dips and dys_with_profit > 0:
            user_key, day_info, amount, invested, profit, loss, game_active = bitcoin_game(user_key=user_key, invest_amount=amount/10)

            if game_active == True:
                break
        elif count_ups == count_dips and dys_with_loss > 0:
            pass
        elif count_ups < count_dips and dys_with_loss > 0:
            user_key, day_info, amount, invested, profit, loss, game_active = bitcoin_game(user_key=user_key, withdraw_amount=invested/10)

            if game_active == True:
                break
        elif show_exception: #this is an exception that needs to be classified
            print('Ups in Week', count_ups, 'Downs in week', count_dips, 'Days with Profit', dys_with_profit, 'Days with Loss', dys_with_loss)
        

        week_counter += 1
        if week_counter == 7:
            week_counter = 0
            week_predictions = []
        else:
            #add last prediction to week predictions
            week_predictions.append(day_info[-1])

        if output:
            print('day: {0} profit: {1} loss: {2} amount: {3} invested: {4} predict: {5}'.format(day_info[0], profit, loss, amount, invested, day_info[-1]))

        #so I can easily assess what's going on
        if sleep:
            time.sleep(sleep_time)    
        
    if not output: #only one output
        print('day: {0} profit: {1} loss: {2} amount: {3} invested: {4}'.format(day_info[0], profit, loss, amount, invested))

    if plot or miss_plot:
        df_copy = df[df.index >= start_index].copy()
        df_copy['time'] = pd.to_datetime(df_copy['Date'], format='%m/%d/%Y')
        player_record = game_record['player_{0}'.format(user_key)]

    if plot:
        try:
            #the len seems to be off by 3
            extended_invest = player_record['invest_history']
            extended_invest.extend([extended_invest[-1]]*3)
            extended_amount = player_record['amount_history']
            extended_amount.extend([extended_amount[-1]]*2)
            
            df_copy['investment'] = extended_invest
            df_copy['amount'] = extended_amount
            df_copy.plot(x='time', y=['investment', 'amount', 'Value USD'], figsize=(20, 20))
        except Exception as e:
            print(str(e))
            print('df copy shape', df_copy.shape)
            print('investment len', len(extended_invest))
            print('amount len', len(extended_amount))