stockbot | Alpaca algo stock trading bot | Business library
kandi X-RAY | stockbot Summary
kandi X-RAY | stockbot Summary
stockbot is a Python library typically used in Web Site, Business applications. stockbot has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.
Alpaca algo stock trading bot. Get recommended buy and strong buy stocks daily from Nasdaq.com and get prices from Yahoo and determine which stocks moved the most the previous n days, sort those by largest movers (based on open/close $) and buy those stocks if they are going up. When the stock price goes up enough, or at the end of the market day, sell any purchased stocks.
Alpaca algo stock trading bot. Get recommended buy and strong buy stocks daily from Nasdaq.com and get prices from Yahoo and determine which stocks moved the most the previous n days, sort those by largest movers (based on open/close $) and buy those stocks if they are going up. When the stock price goes up enough, or at the end of the market day, sell any purchased stocks.
Support
Quality
Security
License
Reuse
Support
stockbot has a low active ecosystem.
It has 67 star(s) with 5 fork(s). There are 2 watchers for this library.
It had no major release in the last 6 months.
There are 1 open issues and 0 have been closed. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of stockbot is current.
Quality
stockbot has 0 bugs and 0 code smells.
Security
stockbot has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
stockbot code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
stockbot is licensed under the Apache-2.0 License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
stockbot releases are not available. You will need to build from source code and install.
Build file is available. You can build the component from source.
Installation instructions, examples and code snippets are available.
It has 483 lines of code, 8 functions and 1 files.
It has low code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed stockbot and discovered the below as its top functions. This is intended to give you an instant insight into stockbot implemented functionality, and help decide if they suit your requirements.
- Calculates the eod change per currency per day
- Get all closed orders
- Get stock info for a given stock
- Get market stocks
- Place an order
- Get stock price
Get all kandi verified functions for this library.
stockbot Key Features
No Key Features are available at this moment for stockbot.
stockbot Examples and Code Snippets
No Code Snippets are available at this moment for stockbot.
Community Discussions
Trending Discussions on stockbot
QUESTION
Discord JavaScript (node:1068) DeprecationWarning: The message event is deprecated
Asked 2021-Oct-17 at 05:12
So i have been trying to get n simple pong message when I run the command, however I get this error
CODE:
...ANSWER
Answered 2021-Oct-17 at 05:12Since v13, the message
event has been deprecated. Replace your code with this:
QUESTION
AttributeError: type object 'DataFrame' has no attribute 'pd'
Asked 2020-May-30 at 15:37
import pandas as pd
import os
import time
from datetime import datetime
path = "C:/Users/Aben/Downloads/intraQuarter"
def Key_Stats(gather="Total Debt/Equity (mrq)"):
statspath = path+'/_KeyStats'
stock_list = [x[0] for x in os.walk(statspath)]
df = pd.DataFrame(columns = ['Date','Unix','Ticker','DE Ratio'])
sp500_df = pd.DataFrame.pd.read_csv("YAHOO-INDEX_CSPC.csv")
for each_dir in stock_list[1:]:
each_file = os.listdir(each_dir)
ticker = each_dir.split("\\")[1]
if len(each_file) > 0:
for file in each_file:
date_stamp = datetime.strptime(file, '%Y%m%d%H%M%S.html')
unix_time = time.mktime(date_stamp.timetuple())
full_file_path = each_dir+'/'+file
source = open(full_file_path,'r').read()
try:
value = float(source.split(gather+':')[1].split('')[0])
try:
sp500_date = datetime.fromtimestamp(unix_time).strftime('%Y-%m-%d')
row = sp500_df[sp500_df["Date"] == sp500_date]
sp500_value = float(row["Adj Close"])
except:
sp500_date = datetime.fromtimestamp(unix_time-259200).strftime('%Y-%m-%d')
row = sp500_df[sp500_df["Date"] == sp500_date]
sp500_value = float(row["Adj Close"])
stock_price = float(source.split('')[1].split('')[0])
print("stock_price:",stock_price,"ticker:",ticker)
df = df.append({'Date':date_stamp,'Unix':unix_time,'Ticker':ticker,'DE Ratio':value,}, ignore_index = True)
except Exception as e:
pass
save = gather.replace(' ','').replace('(','').replace(')','').replace('/','')+('.csv')
print(save)
df.to_csv(save)
Key_Stats()
...ANSWER
Answered 2020-May-30 at 15:37Replace this line:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install stockbot
You can download it from GitHub.
You can use stockbot like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use stockbot like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
Find more information at:
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