AutoDD = Automatically does the "due diligence" for you. If you want to know what stocks people are talking about on reddit, this little program might help you.
Original author - Fufu Fang https://github.com/fangfufu
Rev 2 Author - Steven Zhu https://github.com/kaito1410
The original AutoDD produced a simple table of the stock ticker and the number of threads talking about the ticker.
Version 2 of AutoDD adds some options and features that the original did not have.
- ability to display a change in results (ie, from the previous day to today)
- ability to pull additional stock information from yahoo (such as open and close price, volume, average volumn, etc)
- ability to pull results from multiple subreddits (pennystocks, RobinHoodPennyStocks, stocks, Daytrading, etc)
- added score system to calculate a score for each ticker based on the number of occurrences, DD or Catalyst flair, and number of upvotes
- Can be run with a windows schedular to run the program at a set time everyday
Python (tested on python 3.8) - make sure you add python to the path variable during installation
Pip python get-pip.py https://phoenixnap.com/kb/install-pip-windows#:~:text=PIP%20is%20automatically%20installed%20with,9%2B%20and%20Python%203.4%2B.
psaw - pip install psaw https://pypi.org/project/psaw/
yahooquery - pip install yahooquery https://pypi.org/project/yahooquery/
tabulate - pip install tabulate https://pypi.org/project/tabulate/
Simply open the terminal (powershell or command prompt in windows) and navigate to the AutoDD.py folder, then type:
python AutoDD.py
Alternatively, you can run the script by providing the folder to AutoDD.py (note, you can use any path/folder, as long as it contains AutoDD.py)
ie. python C:\AutoDD-folder\AutoDD.py
Running the script typically takes 1 minute or so, depending on your options and the number of results found Once the script finishes running:
1. The terminal will output: "Wrote to file successfully: C:\AutoDD-folder\table_records.txt"
2. An output called table_records.txt will be created in the same folder as AutoDD.py.
- If table_records.txt already exists, it will append to the text file instead
Simple Output:
Advanced Output:
In terminal, type:
python AutoDD.py -h
This will produce the following help text:
usage: AutoDD.py [-h] [--interval [INTERVAL]] [--min [MIN]] [--adv] [--sub [SUB]] [--sort [SORT]] [--filename [FILENAME]]
AutoDD Optional Parameters
optional arguments:
-h, --help show this help message and exit
--interval [INTERVAL]
Choose a time interval in hours to filter the results, default is 24 hours
--min [MIN] Filter out results that have less than the min score, default is 10
--adv Using this parameter shows advanced ticker information, running advanced mode is slower
--sub [SUB] Choose a different subreddit to search for tickers in, default is pennystocks
--sort [SORT] Sort the results table by descending order of score, 1 = sort by total score, 2 = sort by recent score, 3 = sort by previous score, 4 = sort by change in score
--filename [FILENAME]
Change the file name from table_records.txt to whatever you wish
Interval (Time interval)
1. Choose a time interval in hours to filter the results, default is 24 hours
2. The score in the Total column shows the score for each ticker in the last 24 hours
3. The score in the Recent column shows the score for each ticker in the last 12 hours
4. The score in the Prev column shows the score for each ticker in the last 12-24 hours
5. The score in the other subreddit columns shows the score for each ticker in the last 24 hours
Min (Minimum score)
1. Filter out results that have less than the min score in the Title column, default is 10
Adv (Advanced settings)
1. Using this parameter shows advanced ticker information, running advanced mode is slower
2. This options shows additional yahoo information on the ticker, such as open price, day low, day high, forward PE, beta, volume, etc.
Sub (Subreddit)
1. Choose a different subreddit to search for tickers in, default is pennystocks
2. When a different subreddit is choosen, the total, recent, prev columns contain the score for the choosen subreddit
3. Possible choices: pennystocks, RobinHoodPennyStocks, Daytrading, StockMarket, stocks
Sort
1. Sort the results by descending order of score, by default the table shows the highest total score first
2. pass in values 1, 2, 3, or 4
3. 1 = sort by total score, 2 = sort by recent score, 3 = sort by previous score, 4 = sort by change in score
Filename
1. choose a different filename, this programs saves the table results to table_records.txt in the same folder as the AutoDD.py program
ModuleNotFoundError: No module named 'something'
- This means the dependency was not installed correctly, try running:
pip install 'something'
AutoDD.py not found
- This means the terminal can't find the python script, either navigate to the AutoDD folder using terminal or
python path-to-autodd-folder/AutoDD.py
ie. python C:/AutoDD_Folder/AutoDD.py
-
Create a .bat file and type in:
python path-to-AutoDD\AutoDD.py --whatever options you want to configure
-
Open windows Task Scheduler
-
Create a basic task
-
Fill in the name and description
-
Choose a trigger that works for you, mine is every day
-
Choose "Start a program" and put in the path to your .bat file
- ie. "C:\AutoDD-folder\run_auto_dd.bat"
-
That's it, just check table_records.txt or the file name that you've selected and it will have the table ready
I'm a C++ main, so excuse my python code/inefficencies with handling tables and lists in python.
I've put a couple global variables for some advanced users to allow for easy modifications:
# dictionary of possible subreddits to search in with their respective table column name
subreddit_dict = {'pennystocks' : 'pnystks',
'RobinHoodPennyStocks' : 'RHPnnyStck',
'Daytrading' : 'daytrade',
'StockMarket' : 'stkmrkt',
'stocks' : 'stocks'}
# dictionary of ticker financial information to get from yahoo
financial_measures = {'currentPrice' : 'Price', 'quickRatio': 'QckRatio', 'currentRatio': 'CrntRatio', 'targetMeanPrice': 'trgtmean', 'recommendationKey': 'recommadtn'}
# dictionary of ticker summary information to get from yahoo
summary_measures = {'previousClose' : 'prvCls', 'open': 'open', 'dayLow': 'daylow', 'dayHigh': 'dayhigh', 'payoutRatio': 'pytRatio', 'forwardPE': 'forwardPE', 'beta': 'beta', 'bidSize': 'bidSize', 'askSize': 'askSize', 'volume': 'volume', 'averageVolume': 'avgvolume', 'averageVolume10days': 'avgvlmn10', 'fiftyDayAverage': '50dayavg', 'twoHundredDayAverage': '200dayavg'}
# note: the following scoring system is tuned to calculate a "popularity" score
# feel free to make adjustments to suit your needs
# x base point of for a ticker that appears on a subreddit title or text body that fits the search criteria
base_points = 4
# x bonus points for each flair matching 'DD' or 'Catalyst' of for a ticker that appears on the subreddit
bonus_points = 2
# every x upvotes on the thread counts for 1 point (rounded down)
upvote_factor = 2
AutoDD - Automatically does the "due diligence" for you.
Copyright (C) 2020 Fufu Fang And Steven Zhu
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <https://www.gnu.org/licenses/>.