buy_low_sell_high_trading_bot.py

buy_low_sell_high_trading_bot.py

#!/usr/bin/env python
# coding: utf-8

# In[1]:


get_ipython().system('python --version')


# In[2]:


import robin_stocks as r
import pandas as pd
from datetime import datetime
from config import *
import numpy as np


# In[3]:


r.login(rh_username,rh_password)


# In[4]:


my_stocks = r.build_holdings()


# In[5]:


df = pd.DataFrame(my_stocks)


# In[6]:


df


# In[7]:


df = df.T
df['ticker'] = df.index
df = df.reset_index(drop=True)


# In[8]:


df.to_csv('stocks.csv')


# In[9]:


cols = df.columns.drop(['id','type','name','pe_ratio','ticker'])
df[cols] = df[cols].apply(pd.to_numeric, errors='coerce')


# In[10]:


df.dtypes


# In[11]:


df_buy = df[(df['average_buy_price'] <= 25.000) & (df['quantity'] == 1.000000) & (df['percent_change'] <= -.50)]
df_sell = df[(df['quantity'] == 5.000000) & (df['percent_change'] >= .50)]


# In[12]:


df_buy


# In[13]:


df_sell


# In[14]:


tkr_buy_list  = df_buy['ticker'].tolist()


# In[15]:


tkr_sell_list = df_sell['ticker'].tolist()


# In[16]:


print(f"{len(r.orders.get_all_open_orders())} open order") 


# In[17]:


r.orders.cancel_all_open_orders()


# In[18]:


if len(tkr_sell_list) > 0:
    for i in tkr_sell_list:
        print(i)
        print(r.orders.order_sell_market(i,4,timeInForce= 'gfd'))
else:
    print('Nothing to sell right now!')


# In[19]:


if len(tkr_buy_list) > 0:
    for i in tkr_buy_list:
        test = r.orders.order_buy_market(i,4,timeInForce= 'gfd')
        print(i)
        print(test)
        print(type(test))
else:
    print('Nothing to buy right now!')
    


# In[ ]:


r.get_crypto_currency_pairs()


# In[ ]:


r.stocks.get_earnings('TSLA',info='report')


# In[ ]:

This serves as a nice example on how to get started. I've been thinking about taking a serialized data source, such as a stock prices from something like json, and trying out some different models to handle trades. If I simulate trading, I can see what I would have made or lost.

In short, you have sparked my creativity with your example, it was a good article.