I am trying to pull Google price data from the TD Ameritrade API. It worked in the base form of anaconda but I created a new virtual environment and now it isn't working. It keeps returning this error. I have attempted "verify=false" and that does not work either. I have taken out my apikey for privacy reasons.
This is the error:
SSLError: HTTPSConnectionPool(host='api.tdameritrade.com', port=443): Max retries exceeded with url: /v1/marketdata/GOOG/pricehistory?apikey=apikey&endDate=1648780967000&startDate=1207017767000&periodType=year&period=1&frequency=1&frequencyType=weekly (Caused by SSLError(SSLError(1, '[SSL: UNSAFE_LEGACY_RENEGOTIATION_DISABLED] unsafe legacy renegotiation disabled (_ssl.c:997)')))
import requests
import pandas as pd
import numpy as np
import datetime
import tensorflow as tf
from numpy import loadtxt
from keras.models import Sequential
from keras.layers import Dense
#The prices endpoint
#define endpoint
endpoint = r"https://api.tdameritrade.com/v1/marketdata/{}/pricehistory".format('GOOG')
# define our payload
payload = {'apikey': apikey,
'endDate':'1648780967000',
'startDate': '1207017767000',
'periodType': 'year',
'period':'1',
'frequency': '1',
'frequencyType': 'weekly'}
#make a request
content = requests.get(url = endpoint, params = payload)
#convert it to a dictionary
data = content.json()
data
The TD ameritrade api is a pain. I suggest using the TD api module from Areed: https://github.com/areed1192/td-ameritrade-api