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@tavurth
Last active February 17, 2021 09:04
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Failure to deliver for GME and AMC
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{
"cells": [
{
"cell_type": "markdown",
"source": [
"## Let's start by loading some data\n",
"\n",
"I downloaded this data from the SEC website [Click Here](https://www.sec.gov/data/foiadocsfailsdatahtm)\n",
"\n",
"This document is called a Jupyter Notebook, and you can try it out by downloading [Nteract](https://docs.nteract.io/)\n",
"\n",
"I downloaded my data into a `data` folder inside the same folder I have this document."
],
"metadata": {
"nteract": {
"transient": {
"deleting": false
}
}
}
},
{
"cell_type": "code",
"source": [
"# This cell basically cleans up the data from the SEC website\n",
"# They use a weird format and it's a bit tricky to read\n",
"# If you want to change this section, take a look at the INPUT_FILE below\n",
"\n",
"INPUT_FILE = \"./data/cnsfails202101b.txt\"\n",
"\n",
"import pandas as pd\n",
"from datetime import datetime\n",
"\n",
"# Nicer plot background\n",
"import matplotlib.pyplot as plt\n",
"\n",
"plt.style.use(\"dark_background\")\n",
"\n",
"data = []\n",
"\n",
"with open(INPUT_FILE, \"r\") as fin:\n",
" for line in fin:\n",
" data.append(line.replace(\"\\n\", \"\").split(\"|\"))\n",
"\n",
"# Loading the CSV data into the dataframe\n",
"data = pd.DataFrame(data)\n",
"\n",
"# we'll use the first line as the header\n",
"header = data.iloc[0]\n",
"data = data[1:]\n",
"data.columns = header\n",
"\n",
"# For a nicer development experience we'll rename some columns\n",
"data.rename(\n",
" columns={\n",
" \"SETTLEMENT DATE\": \"date\",\n",
" \"CUSIP\": \"cusip\",\n",
" \"SYMBOL\": \"symbol\",\n",
" \"QUANTITY (FAILS)\": \"ftd\",\n",
" \"DESCRIPTION\": \"description\",\n",
" \"PRICE\": \"price\",\n",
" },\n",
" inplace=True,\n",
")\n",
"\n",
"# Remove empty values (at end of document)\n",
"data = data[~data.symbol.isnull()]\n",
"\n",
"# Convert to real dates\n",
"data[\"date\"] = data[\"date\"].apply(lambda x: datetime.strptime(x, \"%Y%m%d\"))\n",
"\n",
"# Convert price & ftd figures to number instead of string\n",
"data[\"ftd\"] = data[\"ftd\"].apply(pd.to_numeric, errors=\"coerce\")\n",
"data[\"price\"] = data[\"price\"].apply(pd.to_numeric, errors=\"coerce\")\n",
"\n",
"# Use the date as the index\n",
"data = data.set_index(\"date\")"
],
"outputs": [],
"execution_count": 28,
"metadata": {
"collapsed": true,
"jupyter": {
"source_hidden": false,
"outputs_hidden": false
},
"nteract": {
"transient": {
"deleting": false
}
},
"execution": {
"iopub.status.busy": "2021-02-17T09:02:48.396Z",
"iopub.execute_input": "2021-02-17T09:02:48.402Z",
"iopub.status.idle": "2021-02-17T09:02:50.357Z",
"shell.execute_reply": "2021-02-17T09:02:50.352Z"
}
}
},
{
"cell_type": "markdown",
"source": [
"## Now that we've loaded the data, let's take a look\n",
"\n",
"We can easily ask for information about **AMC** & **GME**, by asking the dataframe.\n",
"\n",
"We can plot that info too!"
],
"metadata": {
"nteract": {
"transient": {
"deleting": false
}
}
}
},
{
"cell_type": "code",
"source": [
"stock_data = data[data.symbol == \"GME\"]\n",
"print(stock_data[\"ftd\"].apply(\"{:,}\".format))\n",
"plot = stock_data.plot(y=\"ftd\", figsize=(14,4))\n",
"plot.set_ylabel(\"Failure To Deliver\")"
],
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"date\n",
"2021-01-15 892,653\n",
"2021-01-19 1,498,576\n",
"2021-01-20 1,007,562\n",
"2021-01-21 1,438,994\n",
"2021-01-22 273,600\n",
"2021-01-25 275,113\n",
"2021-01-26 2,099,572\n",
"2021-01-27 1,972,862\n",
"2021-01-28 1,032,986\n",
"2021-01-29 138,179\n",
"Name: ftd, dtype: object\n"
]
},
{
"output_type": "execute_result",
"execution_count": 34,
"data": {
"text/plain": "Text(0, 0.5, 'Failure To Deliver')"
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": "<Figure size 1008x288 with 1 Axes>",
"image/png": 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\n"
},
"metadata": {}
}
],
"execution_count": 34,
"metadata": {
"collapsed": true,
"jupyter": {
"source_hidden": false,
"outputs_hidden": false
},
"nteract": {
"transient": {
"deleting": false
}
},
"execution": {
"iopub.status.busy": "2021-02-17T09:04:15.724Z",
"iopub.execute_input": "2021-02-17T09:04:15.731Z",
"iopub.status.idle": "2021-02-17T09:04:15.978Z",
"shell.execute_reply": "2021-02-17T09:04:15.986Z"
}
}
},
{
"cell_type": "code",
"source": [
"stock_data = data[data.symbol == \"AMC\"]\n",
"print(stock_data[\"ftd\"].apply(\"{:,}\".format))\n",
"plot = stock_data.plot(y=\"ftd\", figsize=(14,4))\n",
"plot.set_ylabel(\"Failure To Deliver\")"
],
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"date\n",
"2021-01-15 102,589\n",
"2021-01-19 8,842,791\n",
"2021-01-20 13,399,807\n",
"2021-01-21 3,167,557\n",
"2021-01-22 200\n",
"2021-01-25 15,521\n",
"2021-01-26 385,273\n",
"2021-01-27 27,693,649\n",
"2021-01-28 584,097\n",
"2021-01-29 15,902\n",
"Name: ftd, dtype: object\n"
]
},
{
"output_type": "execute_result",
"execution_count": 35,
"data": {
"text/plain": "Text(0, 0.5, 'Failure To Deliver')"
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": "<Figure size 1008x288 with 1 Axes>",
"image/png": 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\n"
},
"metadata": {}
}
],
"execution_count": 35,
"metadata": {
"collapsed": true,
"jupyter": {
"source_hidden": false,
"outputs_hidden": false
},
"nteract": {
"transient": {
"deleting": false
}
},
"execution": {
"iopub.status.busy": "2021-02-17T09:04:28.170Z",
"iopub.execute_input": "2021-02-17T09:04:28.175Z",
"iopub.status.idle": "2021-02-17T09:04:28.358Z",
"shell.execute_reply": "2021-02-17T09:04:28.366Z"
}
}
}
],
"metadata": {
"kernel_info": {
"name": "python3"
},
"language_info": {
"name": "python",
"version": "3.9.1",
"mimetype": "text/x-python",
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"pygments_lexer": "ipython3",
"nbconvert_exporter": "python",
"file_extension": ".py"
},
"kernelspec": {
"argv": [
"python",
"-m",
"ipykernel_launcher",
"-f",
"{connection_file}"
],
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"nteract": {
"version": "0.28.0"
}
},
"nbformat": 4,
"nbformat_minor": 0
}
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