Hi, thanks for putting this together. Still figuring it out.
When I ran this under windows I had to comment out lines 23 and 24 in wxStocks_gui_position_index.py:
#if config.ENCRYPTION_POSSIBLE and (config.OS_TYPE_INDEX != 0): # if encryption and not on mac
# logging.info("FINISH THIS TEMPORARY RESTRUCTURING TO WORK CROSSPLATFORM")
because it threw an error about "logging" on my Windows machine:

Traceback (most recent call last):
File "wxStocks.py", line 85, in
main()
File "wxStocks.py", line 82, in main
import wxStocks_modules.wxStocks_gui as gui
File "D:\wxstocks\wxStocks_modules\wxStocks_gui.py", line 23, in
from wxStocks_modules import wxStocks_gui_position_index as gui_position
File "D:\wxstocks\wxStocks_modules\wxStocks_gui_position_index.py", line 20, in
class WelcomePage(object):
File "D:\wxstocks\wxStocks_modules\wxStocks_gui_position_index.py", line 24, in WelcomePage
logging.info("FINISH THIS TEMPORARY RESTRUCTURING TO WORK CROSSPLATFORM")
NameError: name 'logging' is not defined

But then it seemed to work fine.

Hi scoofy,

I got the following issue when installing:

Startup may take a few moments...
File: wxStocks_db_functions.py
Line 156:

Loading GLOBAL_STOCK_DICT: this may take a couple of minutes.If this is your first time opening wxStocks, please ignore the following exception, otherwise, your previously saved data may have been deleted.

File: wxStocks_db_functions.py
Line 166: [Errno 2] No such file or directory: 'wxStocks_data/all_stocks_dict.pk'

File: wxStocks_db_functions.py
Line 186: Loading GLOBAL_ATTRIBUTE_SET
If this is your first time opening wxStocks, please ignore the following exception, otherwise, your previously saved data may have been deleted.
File: wxStocks_db_functions.py
Line 194: [Errno 2] No such file or directory: 'wxStocks_data/all_attributes_set.pk'
File: wxStocks_db_functions.py
Line 54: Loading GLOBAL_TICKER_LIST
File: wxStocks_db_functions.py
Line 58: [Errno 2] No such file or directory: 'wxStocks_data/ticker.pk'
File: wxStocks_db_functions.py
Line 503: config.ENCRYPTION_POSSIBLE False
File: wxStocks_db_functions.py
Line 510: attempting to load 0 possible portfolios
File: wxStocks_db_functions.py
Line 207: Loading GLOBAL_STOCK_SCREEN_DICT
File: wxStocks_db_functions.py
Line 211: [Errno 2] No such file or directory: 'wxStocks_data/screen_dict.pk'
File: wxStocks_db_functions.py
Line 257: Loading SCREEN_NAME_AND_TIME_CREATED_TUPLE_LIST
File: wxStocks_db_functions.py
Line 261: [Errno 2] No such file or directory: 'wxStocks_data/screen_names_and_times_tuple_list.pk'
Traceback (most recent call last):
File "wxStocks.py", line 92, in
main()
File "wxStocks.py", line 90, in main
gui.MainFrame().Show()
File "/home/kaini/fintech/wxStocks/wxStocks_modules/wxStocks_gui.py", line 50, in init
self.welcome_page = WelcomePage(self.notebook)
File "/home/kaini/fintech/wxStocks/wxStocks_modules/wxStocks_gui.py", line 239, in init
self.encryption_hardness_field.SetHint("default = 8")
AttributeError: 'TextCtrl' object has no attribute 'SetHint'

It appears that wx installed by ubuntu apt-get is not compatible.
Any known solution on Ubuntu/Debian?

def get_stock_urls(exchanges=["nyse", "nasdaq"]) : # from nasdaq.com
headers = {
'User-Agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.11 (KHTML, like Gecko) Chrome/23.0.1271.64 Safari/537.11',
'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,/;q=0.8',
'Accept-Charset': 'ISO-8859-1,utf-8;q=0.7,;q=0.3',
'Accept-Encoding': 'none',
'Accept-Language': 'en-US,en;q=0.8',
'Connection': 'keep-alive',
'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,/*;q=0.8'
}
for exchange in exchanges :
yield "http://www.nasdaq.com/screening/companies-by-name.aspx?letter=0&exchange=%s&render=download" % exchange, headers

def invoke_url(url,headers) :
import urllib.request
response = urllib.request.Request(url, headers=headers)
page = urllib.request.urlopen(response)
return page.read()

def parse_csv_stock_symbol_symbols(csv):
lines = csv.splitlines()
rr = range(0,len(lines))
for r in rr :
if r == 0 : continue
ret = lines[r].decode('utf-8').split(',')
if len(ret) == 0 : continue
yield ','.join(map(lambda x : x.replace('"',''), ret))

this allows me to do this

for url, headers in get_ticker_urls() :
csv = invoke_url(url,headers)
for stock in parse_csv_ticker_symbols(csv) :
print(stock)

or this

for url, headers in get_stock_urls(['amex']) :
csv = invoke_url(url,headers)
for stock in parse_csv_stock_symbol_symbols(csv) :
print(stock)

My name is Luis, I'm a big-data machine-learning developer, I'm a fan of your work, and I usually check your updates.

I was afraid that my savings would be eaten by inflation. I have created a powerful tool that based on past technical patterns (volatility, moving averages, statistics, trends, candlesticks, support and resistance, stock index indicators).
All the ones you know (RSI, MACD, STOCH, Bolinger Bands, SMA, DEMARK, Japanese candlesticks, ichimoku, fibonacci, williansR, balance of power, murrey math, etc) and more than 200 others.

The tool creates prediction models of correct trading points (buy signal and sell signal, every stock is good traded in time and direction).
For this I have used big data tools like pandas python, stock market libraries like: tablib, TAcharts ,pandas_ta... For data collection and calculation.
And powerful machine-learning libraries such as: Sklearn.RandomForest , Sklearn.GradientBoosting, XGBoost, Google TensorFlow and Google TensorFlow LSTM.

With the models trained with the selection of the best technical indicators, the tool is able to predict trading points (where to buy, where to sell) and send real-time alerts to Telegram or Mail. The points are calculated based on the learning of the correct trading points of the last 2 years (including the change to bear market after the rate hike).

I think it could be useful to you, to improve, I would like to share it with you, and if you are interested in improving and collaborating I am also willing, and if not file it in the box.

If tou want, Please read the readme , and in case of any problem you can contact me ,
If you are convinced try to install it with the documentation.
https://github.com/Leci37/LecTrade/tree/develop I appreciate the feedback

Hi.
Please help me!
I need a stock screener to scan stocks listed in KSE-100 index and return me only those stocks in which 6EMA line has crossed above 18EMA line recently (within a period of 7 days).
My email Address: [email protected]
I shall be really grateful.

Hey Matt.
Project looks great and i am trying to install on ubuntu 22.10.
After installing the dependencies from your documentation, I also found I had to install;

• feedparser
• zodb
• fake-useragent

Having done that, after running and setting the password i get;
Startup may take a few moments...
Enter your wxStocks encryption password:
---- wxStocks_db_functions.py|688 ----
Validating your password, this may take a moment...
---- wxStocks_db_functions.py|533 ----
attempting to load 0 possible portfolios
---- wxStocks_db_functions.py|326 ----
Loading GLOBAL_STOCK_SCREEN_DICT
---- wxStocks_db_functions.py|355 ----
Loading SCREEN_NAME_AND_TIME_CREATED_TUPLE_LIST
---- wxStocks_gui_position_index.py|24 ----
FINISH THIS TEMPORARY RESTRUCTURING TO WORK CROSSPLATFORM

Traceback (most recent call last):
  File "/home/user/python/wxStocks/wxStocks.py", line 85, in <module>
    main()
  File "/home/user/python/wxStocks/wxStocks.py", line 83, in main
    gui.MainFrame().Show()
  File "/home/user/python/wxStocks/wxStocks_modules/wxStocks_gui.py", line 33, in __init__
    self.SetSizeHints(gui_position.MainFrame_SetSizeHints[0],gui_position.MainFrame_SetSizeHints[1])
TypeError: TopLevelWindow.SetSizeHints(): arguments did not match any overloaded call:
  overload 1: argument 1 has unexpected type 'float'
  overload 2: argument 1 has unexpected type 'float'

any ideas please?