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{
"cells": [
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [],
"source": [
"import math\n",
"import pandas as pd\n",
"\n",
"def vix_calculator(vix, spy, days=365):\n",
" score = ( (vix / math.sqrt(days)) / 100 )\n",
" return spy*(1-score), spy*(1+score)\n",
"\n",
"# val1, val2 = (vix_spy_csv('VIX.csv'))\n",
"# print ('Volatility Range: ' + str(val1) + ' - ' + str(val2))"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [
{
"data": {
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" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
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" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>0</th>\n",
" <th>1</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>SPY</td>\n",
" <td>407.20</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>VIX</td>\n",
" <td>20.02</td>\n",
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],
"text/plain": [
" 0 1\n",
"0 SPY 407.20\n",
"1 VIX 20.02"
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"pd.read_csv('VIX.csv', header=None)"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
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" }\n",
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" vertical-align: top;\n",
" }\n",
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" text-align: right;\n",
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"</style>\n",
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" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>SPY</td>\n",
" <td>399.07</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>VIX</td>\n",
" <td>22.70</td>\n",
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"text/plain": [
" 0 1\n",
"0 SPY 399.07\n",
"1 VIX 22.70"
]
},
"execution_count": 22,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df = pd.read_excel('VIX.xlsx', header=None)\n",
"df"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"IMPORTANT: You are using gradio version 3.13.0, however version 3.14.0 is available, please upgrade.\n",
"--------\n",
"Running on local URL: http://127.0.0.1:7873\n",
"\n",
"To create a public link, set `share=True` in `launch()`.\n"
]
},
{
"data": {
"text/html": [
"<div><iframe src=\"http://127.0.0.1:7873/\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
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{
"data": {
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"execution_count": 23,
"metadata": {},
"output_type": "execute_result"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'SPY': 399.07, 'VIX': 22.7}\n",
"(394.3283607853106, 403.81163921468936)\n"
]
}
],
"source": [
"import gradio as gr\n",
"import pandas as pd\n",
"import numpy as np\n",
"import os\n",
"\n",
"# os.system('pip install openpyxl')\n",
"\n",
"#multiple inputs are passed as arguments for the same function greet\n",
"def greet(file1):\n",
" # df = pd.read_csv(file1.name)\n",
" if 'csv' in file1.name:\n",
" df = pd.read_csv(file1.name, header=None)\n",
" df[0] = df[0].apply(lambda x : x.replace(',', ''))\n",
"\n",
" if 'xlsx' in file1.name:\n",
" df = pd.read_excel(file1.name, header=None)\n",
" df[0] = df[0].apply(lambda x : x.replace(',', ''))\n",
"\n",
" df.index = df.pop(0)\n",
" vix_spy_dict = df.to_dict()[1]\n",
"\n",
" print(vix_spy_dict)\n",
"\n",
" output = vix_calculator(vix_spy_dict['VIX'], vix_spy_dict['SPY'], days=365)\n",
"\n",
" print(output)\n",
" return str(output)\n",
"\n",
"# iface = gr.Interface(fn=greet, inputs=[\"file\", \"file\", gr.inputs.Textbox(placeholder=\"Enter Question here...\")], outputs=\"text\")\n",
"iface = gr.Interface(fn=greet, inputs=['file'], outputs=\"text\")\n",
"# iface.launch(share=True)\n",
"iface.launch(share=False)"
]
}
],
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"display_name": "Python 3",
"language": "python",
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