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trial.py
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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed May 6 01:31:42 2020
@author: satansspawn
"""
from alpha_vantage.timeseries import TimeSeries
from alpha_vantage.techindicators import TechIndicators
from matplotlib.pyplot import figure
import matplotlib.pyplot as plt
import stockp
import csv
def ogmonthly(name, k):
key = k
ts = TimeSeries(key, output_format='pandas')
ti = TechIndicators(key)
#sym = input('Enter stock symbol: ')
sym = name
data, meta_data = ts.get_monthly(symbol=sym)
print("model for month of data")
print(data)
fn = name+".csv"
with open(fn, 'w') as ff:
data.to_csv(ff)
stockp.tr(fn)
def ogweekly(name, k):
key = k
ts = TimeSeries(key, output_format='pandas')
ti = TechIndicators(key)
#sym = input('Enter stock symbol: ')
sym = name
data, meta_data = ts.get_weekly(symbol=sym)
print("model for week data")
print(data)
fn = name+".csv"
with open(fn, 'w') as ff:
data.to_csv(ff)
stockp.tr(fn)
def ogdaily(name, k):
key = k
ts = TimeSeries(key, output_format='pandas')
ti = TechIndicators(key)
#sym = input('Enter stock symbol: ')
sym = name
data, meta_data = ts.get_daily(symbol=sym, outputsize='full')
print("model for day of data")
print(data)
fn = name+".csv"
with open(fn, 'w') as ff:
data.to_csv(ff)
stockp.tr(fn)
def og60(name, k):
key = k
ts = TimeSeries(key, output_format='pandas')
ti = TechIndicators(key)
#sym = input('Enter stock symbol: ')
sym = name
data, meta_data = ts.get_intraday(symbol=sym,interval='60min', outputsize='full')
print("model for 60 min of data")
fn = name+".csv"
with open(fn, 'w') as ff:
data.to_csv(ff)
stockp.tr(fn)
def og30(name, k):
key = k
ts = TimeSeries(key, output_format='pandas')
ti = TechIndicators(key)
#sym = input('Enter stock symbol: ')
sym = name
data, meta_data = ts.get_intraday(symbol=sym,interval='30min', outputsize='full')
print("model for 30 min of data")
fn = name+".csv"
with open(fn, 'w') as ff:
data.to_csv(ff)
stockp.tr(fn)
def og15(name, k):
key = k
ts = TimeSeries(key, output_format='pandas')
ti = TechIndicators(key)
#sym = input('Enter stock symbol: ')
sym = name
data, meta_data = ts.get_intraday(symbol=sym,interval='15min', outputsize='full')
print("model for 15 min of data")
fn = name+".csv"
with open(fn, 'w') as ff:
data.to_csv(ff)
stockp.tr(fn)
def og5(name, k):
key = k
ts = TimeSeries(key, output_format='pandas')
ti = TechIndicators(key)
#sym = input('Enter stock symbol: ')
sym = name
data, meta_data = ts.get_intraday(symbol=sym,interval='5min', outputsize='full')
print("model for 5 min of data")
fn = name+".csv"
with open(fn, 'w') as ff:
data.to_csv(ff)
stockp.tr(fn)
def og1(name, k):
key = k
ts = TimeSeries(key, output_format='pandas')
ti = TechIndicators(key)
sym = name
data, meta_data = ts.get_intraday(symbol=sym,interval='1min', outputsize='full')
print("model for 1 min of data")
fn = name+".csv"
with open(fn, 'w') as ff:
data.to_csv(ff)
stockp.tr(fn)
def og(name, k):
key = k
ts = TimeSeries(key, output_format='pandas')
ti = TechIndicators(key)
fn = name+".csv"
sym = name
data, meta_data = ts.get_intraday(symbol=sym,interval='60min', outputsize='full')
#print("model for 15 min of data")
with open(fn, 'w') as ff:
data.to_csv(ff)
#stockp.tr(fn)
#og("RELIANCE.NS", 'OAPX1MWCR5GSEPXK')