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131 lines (104 loc) · 5.24 KB
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import tkinter
from datetime import datetime
from matplotlib.figure import Figure
from matplotlib import style
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
from fbprophet import Prophet
from pandas_datareader import data
import pandas as pd
from datetime import datetime
import yfinance as yf
style.use("bmh")
class App:
def __init__(self, root):
self.now = str(datetime.now().strftime('%Y-%m-%d'))
f = open("save.txt", "r")
f1 = f.read().split('\n')
f.close()
self.root = root
self.root.title("Stock-Pred-Program")
self.root.resizable(False, False)
self.GRAPHVAR = tkinter.IntVar(value=int(f1[4]))
self.SHORTVAR = tkinter.IntVar(value=int(f1[5]))
self.LONGVAR = tkinter.IntVar(value=int(f1[6]))
self.UILF = tkinter.LabelFrame(root, bd=0)
self.UILF.grid(row=0, column=0, padx=35, pady=10)
self.UISTOCK = tkinter.Label(self.UILF, text="Stock: ")
self.UISTOCK.grid(row=0, column=0, sticky="W")
self.UISTOCKE = tkinter.Entry(self.UILF)
self.UISTOCKE.insert(0, f1[0])
self.UISTOCKE.grid(row=0, column=1, sticky="W")
self.UISDATE = tkinter.Label(self.UILF, text="Startdate: ")
self.UISDATE.grid(row=1, column=0, sticky="W")
self.UISDATEE = tkinter.Entry(self.UILF)
self.UISDATEE.insert(0, f1[1])
self.UISDATEE.grid(row=1, column=1, sticky="W")
self.UIEDATE = tkinter.Label(self.UILF, text="Enddate: ")
self.UIEDATE.grid(row=2, column=0, sticky="W")
self.UIEDATEE = tkinter.Entry(self.UILF)
self.UIEDATEE.insert(0, f1[2])
self.UIEDATEE.grid(row=2, column=1, sticky="W")
self.UIGRAPHC = tkinter.Checkbutton(self.UILF, text="Graph", variable=self.GRAPHVAR)
self.UIGRAPHC.grid(row=3, column=0, sticky="W")
self.UIROLLSC = tkinter.Checkbutton(self.UILF, text="Shortroll", variable=self.SHORTVAR)
self.UIROLLSC.grid(row=4, column=0, sticky="W")
self.UIROLLLC = tkinter.Checkbutton(self.UILF, text="Longroll", variable=self.LONGVAR)
self.UIROLLLC.grid(row=5, column=0, sticky="W")
self.UIPRED = tkinter.Label(self.UILF, text='Yrs of Prediction: ')
self.UIPRED.grid(row=6, column=0, sticky="W")
self.UIPREDS = tkinter.Scale(self.UILF, from_=0, to=3, orient='horizontal')
self.UIPREDS.set(f1[6])
self.UIPREDS.grid(row=6, column=1, sticky='W')
self.BTLF = tkinter.LabelFrame(self.UILF, bd=0)
self.BTLF.grid(row=7, column=0 , sticky="W")
self.UIBUTTONR = tkinter.Button(self.BTLF, text="Run", command = self.run)
self.UIBUTTONR.grid(row=0, column=0, padx=(0, 10), sticky="W")
self.UIBUTTONS = tkinter.Button(self.BTLF, text="Save", command = self.save)
self.UIBUTTONS.grid(row=0, column=1, sticky="W")
self.fig = Figure(figsize=(5, 4), dpi=100)
self.stockplot = self.fig.add_subplot(111)
self.stockplot.set_xlabel('Date')
self.stockplot.set_ylabel('Adj Close Price ($)')
self.stockplot.set_title('Stock Price')
self.canvas = FigureCanvasTkAgg(self.fig, master=root) # A tk.DrawingArea.
self.canvas.draw()
self.canvas.get_tk_widget().grid(row=0, column=1)
def run(self):
START_DATE = self.UISDATEE.get()
END_DATE = self.UIEDATEE.get()
STOCK = self.UISTOCKE.get().upper()
stock_data = data.DataReader(STOCK,
'yahoo',
START_DATE,
END_DATE)
weekdays = pd.date_range(start=START_DATE, end=END_DATE)
clean_data = stock_data['Adj Close'].reindex(weekdays)
adj_close = clean_data.fillna(method='ffill')
self.stockplot.clear()
self.stockplot.set_xlabel('Date')
self.stockplot.set_ylabel('Adj Close (p)')
self.stockplot.set_title('Stock Price')
pdata = yf.download(STOCK, START_DATE, END_DATE)
pdata.reset_index(inplace=True)
df_train = pdata[['Date', 'Close']]
df_train = df_train.rename(columns={'Date': 'ds', 'Close': 'y'})
m = Prophet()
m.fit(df_train)
if self.GRAPHVAR.get():
self.stockplot.plot(adj_close, label=STOCK)
if self.SHORTVAR.get():
self.stockplot.plot(adj_close.rolling(window=50).mean(), label="50 day rolling mean")
if self.LONGVAR.get():
self.stockplot.plot(adj_close.rolling(window=200).mean(), label="200 day rolling mean")
if self.UIPREDS.get():
future = m.make_future_dataframe(periods=self.UIPREDS.get()*365)
forecast = m.predict(future)
fcst_t = forecast['ds'].dt.to_pydatetime()
self.stockplot.plot(fcst_t, forecast['yhat'], ls=':', label=f'{self.UIPREDS.get()}-Year Prediction')
self.stockplot.legend()
self.canvas = FigureCanvasTkAgg(self.fig, master=self.root) # A tk.DrawingArea.
self.canvas.draw()
def save(self):
f = open('save.txt', 'w+')
f.write(self.UISTOCKE.get() + '\n' + self.UISDATEE.get() + '\n' + self.UIEDATEE.get() + '\n' + str(self.GRAPHVAR.get()) + '\n' + str(self.SHORTVAR.get()) + '\n' + str(self.LONGVAR.get()) + '\n' + str(self.UIPREDS.get()))
f.close()