Pattern_Hammer.py

# Base parameters
expected_cost    = 0.5 * (lot / 10000) 
assets           = asset_list(1) 
window           = 1000

# Trading parameters   
horizon          = 'H1'

# Mass imports 
my_data = mass_import(0, horizon)

# Defining the minimum width of the candle
body = 0.0004
wick = body * 2
def signal(Data):
    for i in range(len(Data)):        
       # Hammer
       if abs(Data[i, 3] - Data[i, 0]) < body and abs(Data[i, 2] - Data[i, 0]) > wick and Data[i, 1] == Data[i, 0]:
                Data[i, 6] = 1 
       # Hammer
       if abs(Data[i, 3] - Data[i, 0]) < body and abs(Data[i, 2] - Data[i, 0]) > wick and Data[i, 1] == Data[i, 3]:
                Data[i, 6] = 1 
       # Shooting Star
       if abs(Data[i, 3] - Data[i, 0]) < body and abs(Data[i, 1] - Data[i, 0]) > wick and Data[i, 2] == Data[i, 0]:
               Data[i, 7] = -1
       # Shooting Star
       if abs(Data[i, 3] - Data[i, 0]) < body and abs(Data[i, 1] - Data[i, 0]) > wick and Data[i, 2] == Data[i, 3]:
               Data[i, 7] = -1


           
##############################################################################   1

my_data = adder(my_data, 10)
my_data = rounding(my_data, 4)
signal(my_data)

if sigchart == True:
    signal_chart_ohlc_color(my_data, assets[0], 3, 6, 7, window = 250)

holding(my_data, 6, 7, 8, 9)
my_data_eq = equity_curve(my_data, 8, expected_cost, lot, investment)
performance(my_data_eq, 8, my_data, assets[0])  

plt.plot(my_data_eq[:, 3], linewidth = 1, label = assets[0])
plt.grid()
plt.legend()
plt.axhline(y = investment, color = 'black', linewidth = 1)