mirror of
https://github.com/OpenBB-finance/OpenBB.git
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c047cfeddd
* move old example notebooks to v3 folder, update loadHistoricalPriceData and add findSymbols * Create README.md * Update README.md * Update README.md * Update README.md * Vertical diagram instead * important classes * core dependencies * folder structure * devtools * swap order * fix github pages deploy issue * development index * delete expectations for developers * devtools * obbject stuff * add * installation * hub sync * idk if i committed already * add usage page for financial statements * add link to reference page * syntax * numbers * nearly --> more than * easier to read code blocks * codespell * removing mention to provider * add 'orientation' for to_dict * info card for output user preference * put it in a code block * correct user_settings.json example * syntax corrections * fix sentence * get rid of floating point mathc * get rid of other floating point math * add companion example notebook for financial statements, and new section * historical prices usage page * codespell * add commitment of traders section to usage * add a note * codespell * get rid of equals sign * Cleanup docs. with @the-praxs * install * obbject extend * spell * HeadTitle thingies * Update obbject_extensions.md * Update obbject_extensions.md * typo * Update architectural_considerations.md * point to the TET pattern * optional vs required * reviewing the patterns. removed the --pre flag under the assumption this will be the final docs for the release cc @deeleeramone * add a walkthrough * spelling * Add more in the introduction * validator examples * update Copper-to-Gold notebook example for V4 * Update README.md * QA Caveats w @the-praxs * info on class outputs * merge add data sources and add data points * disclaimer on cookiecutter * add missing import to example * slight syntax change * missing code block * missing import * update intrinio example syntax * intrinio syntax update * urls * core and provider merged * example syntax * grammar * Update API banner link * quick-fix-docs cc @minhhoang1023 * Update pip install command for v3 * remove --pre note block * update landing image --------- Co-authored-by: Henrique Joaquim <h.joaquim@campus.fct.unl.pt> Co-authored-by: Luqman <luqazino@gmail.com> Co-authored-by: James Maslek <jmaslek11@gmail.com> Co-authored-by: Igor Radovanovic <74266147+IgorWounds@users.noreply.github.com> Co-authored-by: montezdesousa <79287829+montezdesousa@users.noreply.github.com> Co-authored-by: Theodore Aptekarev <aptekarev@gmail.com> Co-authored-by: Pratyush Shukla <ps4534@nyu.edu>
2492 lines
192 KiB
Plaintext
Vendored
2492 lines
192 KiB
Plaintext
Vendored
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"Cash and cash equivalents",
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"Total cash",
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"Net receivables",
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"Inventory",
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"Total current assets",
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"Gross property plant and equipment",
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"Net property plant and equipment",
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"Equity and other investments",
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"Total non-current liabilities",
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"Total liabilities",
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"Common stock",
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"Retained earnings",
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"Total stockholders' equity",
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},
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"outputs": [],
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"source": [
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"# You can ignore the red warning messages.\n",
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"# The nightly distribution is built from the develop branch on GitHub every night, and will contain bug fixes not available on PyPI.\n",
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"# To not use the nightly distribution, run `!pip install openbb`\n",
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"# To install locally, follow the instructions here: https://docs.openbb.co/terminal/installation/source\n",
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"\n",
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"!pip install openbb-nightly"
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]
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"cell_type": "code",
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"source": [
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"# First, restart the runtime by clicking the button.\n",
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"\n",
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"# Import statements - for many scenarios, the only import needed will be `from openbb_terminal.sdk import openbb`\n",
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"\n",
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"from IPython.display import display\n",
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"from IPython.display import clear_output\n",
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"import ipywidgets as widgets\n",
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"import numpy as np\n",
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"import pandas as pd\n",
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"import pandas_ta as ta\n",
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||
"from datetime import datetime\n",
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"\n",
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||
"from openbb_terminal.sdk import openbb\n",
|
||
"from openbb_terminal import OpenBBFigure\n",
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||
"\n",
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"pd.options.plotting.backend = \"plotly\"\n",
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"\n",
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"# The output of this block can be ignored. The forecast components are not currently compatible with CoLabs.\n",
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"# Documentation is found here: https://docs.openbb.co/sdk/usage/basics\n",
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||
"# For additional example notebooks, see: https://my.openbb.co/app/sdk/examples\n",
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||
"# Enter API credentials and generate a personal access token to login remotely: https://my.openbb.co/app/sdk/api-keys"
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],
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"metadata": {
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"id": "YqSodJvmQ87R"
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},
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"execution_count": 3,
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"outputs": []
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},
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{
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"cell_type": "code",
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"source": [
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"# Login with:\n",
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"\n",
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"#openbb.login(token=\"REPLACE_WITH_PAT\")"
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],
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"metadata": {
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"id": "KkwFZdBqpmvr"
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},
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"execution_count": null,
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"outputs": []
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},
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{
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"cell_type": "code",
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"source": [
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"symbol= \"AAPL\""
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],
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"metadata": {
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"id": "oWTfr457h470"
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},
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"execution_count": 2,
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"outputs": []
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},
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{
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"cell_type": "code",
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"source": [
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"data = openbb.stocks.load(symbol)[\"Close\"].pct_change(21)\n",
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"data.tail(2)"
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],
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/",
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"height": 107
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"id": "Kwc9TSwXd8jm",
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"outputId": "9453751b-5dd1-4961-ab48-8850e89660ef"
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},
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"execution_count": 4,
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"outputs": [
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{
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"output_type": "display_data",
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"data": {
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"text/plain": [
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"Loading Daily data for AAPL with starting period 2020-08-04.\n"
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],
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"text/html": [
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"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading Daily data for AAPL with starting period 2020-08-04.\n",
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"</pre>\n"
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]
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},
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"metadata": {}
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},
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{
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"output_type": "execute_result",
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"data": {
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"text/plain": [
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"date\n",
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"2023-08-08 -0.046710\n",
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"2023-08-09 -0.045613\n",
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"Name: Close, dtype: float64"
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]
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},
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"metadata": {},
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"execution_count": 4
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}
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]
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},
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{
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"cell_type": "code",
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"source": [
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"# Generate output without loading to a variable.\n",
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"\n",
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"openbb.stocks.load(symbol)[\"Close\"].pct_change(21).plot()"
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],
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"metadata": {
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"colab": {
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"outputId": "bdcb310f-027f-43f9-9fa2-d63114326ebd"
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"execution_count": 5,
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"outputs": [
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{
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"output_type": "display_data",
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"data": {
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"text/plain": [
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"Loading Daily data for AAPL with starting period 2020-08-04.\n"
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],
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"text/html": [
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"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading Daily data for AAPL with starting period 2020-08-04.\n",
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"</pre>\n"
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"<html>\n",
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" <div> <script src=\"https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js?config=TeX-AMS-MML_SVG\"></script><script type=\"text/javascript\">if (window.MathJax && window.MathJax.Hub && window.MathJax.Hub.Config) {window.MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}</script> <script type=\"text/javascript\">window.PlotlyConfig = {MathJaxConfig: 'local'};</script>\n",
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"# This loads the complete options chain for a symbol, and binds class methods to the response object.\n",
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"\n",
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"\n",
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"options.get_strategies()"
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" Expiration DTE Strategy Underlying Price Strike 1 Strike 2 \\\n",
|
||
"0 2023-08-11 2 Long Straddle 179.42 180.0 180.0 \n",
|
||
"1 2023-08-18 9 Long Straddle 179.42 180.0 180.0 \n",
|
||
"2 2023-08-25 16 Long Straddle 179.42 180.0 180.0 \n",
|
||
"3 2023-09-01 23 Long Straddle 179.42 180.0 180.0 \n",
|
||
"4 2023-09-08 30 Long Straddle 179.42 180.0 180.0 \n",
|
||
"5 2023-09-15 37 Long Straddle 179.42 180.0 180.0 \n",
|
||
"6 2023-09-22 44 Long Straddle 179.42 180.0 180.0 \n",
|
||
"7 2023-10-20 72 Long Straddle 179.42 180.0 180.0 \n",
|
||
"8 2023-11-17 100 Long Straddle 179.42 180.0 180.0 \n",
|
||
"9 2023-12-15 128 Long Straddle 179.42 180.0 180.0 \n",
|
||
"10 2024-01-19 163 Long Straddle 179.42 180.0 180.0 \n",
|
||
"11 2024-03-15 219 Long Straddle 179.42 180.0 180.0 \n",
|
||
"12 2024-06-21 317 Long Straddle 179.42 180.0 180.0 \n",
|
||
"13 2024-09-20 408 Long Straddle 179.42 180.0 180.0 \n",
|
||
"14 2024-12-20 499 Long Straddle 179.42 180.0 180.0 \n",
|
||
"15 2025-01-17 527 Long Straddle 179.42 180.0 180.0 \n",
|
||
"16 2025-06-20 681 Long Straddle 179.42 180.0 180.0 \n",
|
||
"17 2025-12-19 863 Long Straddle 179.42 180.0 180.0 \n",
|
||
"\n",
|
||
" Strike 1 Premium Strike 2 Premium Cost Cost Percent Breakeven Upper \\\n",
|
||
"0 1.02 1.77 2.79 1.555 182.79 \n",
|
||
"1 2.08 2.67 4.75 2.6474 184.75 \n",
|
||
"2 2.97 3.4 6.37 3.5503 186.37 \n",
|
||
"3 3.7 3.9 7.6 4.2359 187.6 \n",
|
||
"4 4.25 4.25 8.5 4.7375 188.5 \n",
|
||
"5 4.95 4.75 9.7 5.4063 189.7 \n",
|
||
"6 5.55 5.15 10.7 5.9637 190.7 \n",
|
||
"7 7.45 6.35 13.8 7.6915 193.8 \n",
|
||
"8 9.55 7.85 17.4 9.6979 197.4 \n",
|
||
"9 11.0 8.65 19.65 10.952 199.65 \n",
|
||
"10 12.8 9.55 22.35 12.4568 202.35 \n",
|
||
"11 15.85 11.3 27.15 15.1321 207.15 \n",
|
||
"12 20.15 13.55 33.7 18.7827 213.7 \n",
|
||
"13 23.7 15.35 39.05 21.7646 219.05 \n",
|
||
"14 27.05 17.1 44.15 24.6071 224.15 \n",
|
||
"15 27.95 17.45 45.4 25.3038 225.4 \n",
|
||
"16 32.55 19.9 52.45 29.2331 232.45 \n",
|
||
"17 37.3 22.3 59.6 33.2181 239.6 \n",
|
||
"\n",
|
||
" Breakeven Upper Percent Breakeven Lower Breakeven Lower Percent Max Profit \\\n",
|
||
"0 1.8783 177.21 -1.2317 inf \n",
|
||
"1 2.9707 175.25 -2.3242 inf \n",
|
||
"2 3.8736 173.63 -3.2271 inf \n",
|
||
"3 4.5591 172.4 -3.9126 inf \n",
|
||
"4 5.0608 171.5 -4.4142 inf \n",
|
||
"5 5.7296 170.3 -5.083 inf \n",
|
||
"6 6.2869 169.3 -5.6404 inf \n",
|
||
"7 8.0147 166.2 -7.3682 inf \n",
|
||
"8 10.0212 162.6 -9.3747 inf \n",
|
||
"9 11.2752 160.35 -10.6287 inf \n",
|
||
"10 12.7801 157.65 -12.1335 inf \n",
|
||
"11 15.4554 152.85 -14.8088 inf \n",
|
||
"12 19.106 146.3 -18.4595 inf \n",
|
||
"13 22.0878 140.95 -21.4413 inf \n",
|
||
"14 24.9303 135.85 -24.2838 inf \n",
|
||
"15 25.627 134.6 -24.9805 inf \n",
|
||
"16 29.5563 127.55 -28.9098 inf \n",
|
||
"17 33.5414 120.4 -32.8949 inf \n",
|
||
"\n",
|
||
" Max Loss Payoff Ratio \n",
|
||
"0 -2.79 inf \n",
|
||
"1 -4.75 inf \n",
|
||
"2 -6.37 inf \n",
|
||
"3 -7.6 inf \n",
|
||
"4 -8.5 inf \n",
|
||
"5 -9.7 inf \n",
|
||
"6 -10.7 inf \n",
|
||
"7 -13.8 inf \n",
|
||
"8 -17.4 inf \n",
|
||
"9 -19.65 inf \n",
|
||
"10 -22.35 inf \n",
|
||
"11 -27.15 inf \n",
|
||
"12 -33.7 inf \n",
|
||
"13 -39.05 inf \n",
|
||
"14 -44.15 inf \n",
|
||
"15 -45.4 inf \n",
|
||
"16 -52.45 inf \n",
|
||
"17 -59.6 inf "
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" <th>Expiration</th>\n",
|
||
" <th>DTE</th>\n",
|
||
" <th>Strategy</th>\n",
|
||
" <th>Underlying Price</th>\n",
|
||
" <th>Strike 1</th>\n",
|
||
" <th>Strike 2</th>\n",
|
||
" <th>Strike 1 Premium</th>\n",
|
||
" <th>Strike 2 Premium</th>\n",
|
||
" <th>Cost</th>\n",
|
||
" <th>Cost Percent</th>\n",
|
||
" <th>Breakeven Upper</th>\n",
|
||
" <th>Breakeven Upper Percent</th>\n",
|
||
" <th>Breakeven Lower</th>\n",
|
||
" <th>Breakeven Lower Percent</th>\n",
|
||
" <th>Max Profit</th>\n",
|
||
" <th>Max Loss</th>\n",
|
||
" <th>Payoff Ratio</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>2023-08-11</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>Long Straddle</td>\n",
|
||
" <td>179.42</td>\n",
|
||
" <td>180.0</td>\n",
|
||
" <td>180.0</td>\n",
|
||
" <td>1.02</td>\n",
|
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" <td>1.77</td>\n",
|
||
" <td>2.79</td>\n",
|
||
" <td>1.555</td>\n",
|
||
" <td>182.79</td>\n",
|
||
" <td>1.8783</td>\n",
|
||
" <td>177.21</td>\n",
|
||
" <td>-1.2317</td>\n",
|
||
" <td>inf</td>\n",
|
||
" <td>-2.79</td>\n",
|
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" <td>inf</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1</th>\n",
|
||
" <td>2023-08-18</td>\n",
|
||
" <td>9</td>\n",
|
||
" <td>Long Straddle</td>\n",
|
||
" <td>179.42</td>\n",
|
||
" <td>180.0</td>\n",
|
||
" <td>180.0</td>\n",
|
||
" <td>2.08</td>\n",
|
||
" <td>2.67</td>\n",
|
||
" <td>4.75</td>\n",
|
||
" <td>2.6474</td>\n",
|
||
" <td>184.75</td>\n",
|
||
" <td>2.9707</td>\n",
|
||
" <td>175.25</td>\n",
|
||
" <td>-2.3242</td>\n",
|
||
" <td>inf</td>\n",
|
||
" <td>-4.75</td>\n",
|
||
" <td>inf</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2</th>\n",
|
||
" <td>2023-08-25</td>\n",
|
||
" <td>16</td>\n",
|
||
" <td>Long Straddle</td>\n",
|
||
" <td>179.42</td>\n",
|
||
" <td>180.0</td>\n",
|
||
" <td>180.0</td>\n",
|
||
" <td>2.97</td>\n",
|
||
" <td>3.4</td>\n",
|
||
" <td>6.37</td>\n",
|
||
" <td>3.5503</td>\n",
|
||
" <td>186.37</td>\n",
|
||
" <td>3.8736</td>\n",
|
||
" <td>173.63</td>\n",
|
||
" <td>-3.2271</td>\n",
|
||
" <td>inf</td>\n",
|
||
" <td>-6.37</td>\n",
|
||
" <td>inf</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>3</th>\n",
|
||
" <td>2023-09-01</td>\n",
|
||
" <td>23</td>\n",
|
||
" <td>Long Straddle</td>\n",
|
||
" <td>179.42</td>\n",
|
||
" <td>180.0</td>\n",
|
||
" <td>180.0</td>\n",
|
||
" <td>3.7</td>\n",
|
||
" <td>3.9</td>\n",
|
||
" <td>7.6</td>\n",
|
||
" <td>4.2359</td>\n",
|
||
" <td>187.6</td>\n",
|
||
" <td>4.5591</td>\n",
|
||
" <td>172.4</td>\n",
|
||
" <td>-3.9126</td>\n",
|
||
" <td>inf</td>\n",
|
||
" <td>-7.6</td>\n",
|
||
" <td>inf</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>4</th>\n",
|
||
" <td>2023-09-08</td>\n",
|
||
" <td>30</td>\n",
|
||
" <td>Long Straddle</td>\n",
|
||
" <td>179.42</td>\n",
|
||
" <td>180.0</td>\n",
|
||
" <td>180.0</td>\n",
|
||
" <td>4.25</td>\n",
|
||
" <td>4.25</td>\n",
|
||
" <td>8.5</td>\n",
|
||
" <td>4.7375</td>\n",
|
||
" <td>188.5</td>\n",
|
||
" <td>5.0608</td>\n",
|
||
" <td>171.5</td>\n",
|
||
" <td>-4.4142</td>\n",
|
||
" <td>inf</td>\n",
|
||
" <td>-8.5</td>\n",
|
||
" <td>inf</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>5</th>\n",
|
||
" <td>2023-09-15</td>\n",
|
||
" <td>37</td>\n",
|
||
" <td>Long Straddle</td>\n",
|
||
" <td>179.42</td>\n",
|
||
" <td>180.0</td>\n",
|
||
" <td>180.0</td>\n",
|
||
" <td>4.95</td>\n",
|
||
" <td>4.75</td>\n",
|
||
" <td>9.7</td>\n",
|
||
" <td>5.4063</td>\n",
|
||
" <td>189.7</td>\n",
|
||
" <td>5.7296</td>\n",
|
||
" <td>170.3</td>\n",
|
||
" <td>-5.083</td>\n",
|
||
" <td>inf</td>\n",
|
||
" <td>-9.7</td>\n",
|
||
" <td>inf</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>6</th>\n",
|
||
" <td>2023-09-22</td>\n",
|
||
" <td>44</td>\n",
|
||
" <td>Long Straddle</td>\n",
|
||
" <td>179.42</td>\n",
|
||
" <td>180.0</td>\n",
|
||
" <td>180.0</td>\n",
|
||
" <td>5.55</td>\n",
|
||
" <td>5.15</td>\n",
|
||
" <td>10.7</td>\n",
|
||
" <td>5.9637</td>\n",
|
||
" <td>190.7</td>\n",
|
||
" <td>6.2869</td>\n",
|
||
" <td>169.3</td>\n",
|
||
" <td>-5.6404</td>\n",
|
||
" <td>inf</td>\n",
|
||
" <td>-10.7</td>\n",
|
||
" <td>inf</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>7</th>\n",
|
||
" <td>2023-10-20</td>\n",
|
||
" <td>72</td>\n",
|
||
" <td>Long Straddle</td>\n",
|
||
" <td>179.42</td>\n",
|
||
" <td>180.0</td>\n",
|
||
" <td>180.0</td>\n",
|
||
" <td>7.45</td>\n",
|
||
" <td>6.35</td>\n",
|
||
" <td>13.8</td>\n",
|
||
" <td>7.6915</td>\n",
|
||
" <td>193.8</td>\n",
|
||
" <td>8.0147</td>\n",
|
||
" <td>166.2</td>\n",
|
||
" <td>-7.3682</td>\n",
|
||
" <td>inf</td>\n",
|
||
" <td>-13.8</td>\n",
|
||
" <td>inf</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>8</th>\n",
|
||
" <td>2023-11-17</td>\n",
|
||
" <td>100</td>\n",
|
||
" <td>Long Straddle</td>\n",
|
||
" <td>179.42</td>\n",
|
||
" <td>180.0</td>\n",
|
||
" <td>180.0</td>\n",
|
||
" <td>9.55</td>\n",
|
||
" <td>7.85</td>\n",
|
||
" <td>17.4</td>\n",
|
||
" <td>9.6979</td>\n",
|
||
" <td>197.4</td>\n",
|
||
" <td>10.0212</td>\n",
|
||
" <td>162.6</td>\n",
|
||
" <td>-9.3747</td>\n",
|
||
" <td>inf</td>\n",
|
||
" <td>-17.4</td>\n",
|
||
" <td>inf</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>9</th>\n",
|
||
" <td>2023-12-15</td>\n",
|
||
" <td>128</td>\n",
|
||
" <td>Long Straddle</td>\n",
|
||
" <td>179.42</td>\n",
|
||
" <td>180.0</td>\n",
|
||
" <td>180.0</td>\n",
|
||
" <td>11.0</td>\n",
|
||
" <td>8.65</td>\n",
|
||
" <td>19.65</td>\n",
|
||
" <td>10.952</td>\n",
|
||
" <td>199.65</td>\n",
|
||
" <td>11.2752</td>\n",
|
||
" <td>160.35</td>\n",
|
||
" <td>-10.6287</td>\n",
|
||
" <td>inf</td>\n",
|
||
" <td>-19.65</td>\n",
|
||
" <td>inf</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>10</th>\n",
|
||
" <td>2024-01-19</td>\n",
|
||
" <td>163</td>\n",
|
||
" <td>Long Straddle</td>\n",
|
||
" <td>179.42</td>\n",
|
||
" <td>180.0</td>\n",
|
||
" <td>180.0</td>\n",
|
||
" <td>12.8</td>\n",
|
||
" <td>9.55</td>\n",
|
||
" <td>22.35</td>\n",
|
||
" <td>12.4568</td>\n",
|
||
" <td>202.35</td>\n",
|
||
" <td>12.7801</td>\n",
|
||
" <td>157.65</td>\n",
|
||
" <td>-12.1335</td>\n",
|
||
" <td>inf</td>\n",
|
||
" <td>-22.35</td>\n",
|
||
" <td>inf</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>11</th>\n",
|
||
" <td>2024-03-15</td>\n",
|
||
" <td>219</td>\n",
|
||
" <td>Long Straddle</td>\n",
|
||
" <td>179.42</td>\n",
|
||
" <td>180.0</td>\n",
|
||
" <td>180.0</td>\n",
|
||
" <td>15.85</td>\n",
|
||
" <td>11.3</td>\n",
|
||
" <td>27.15</td>\n",
|
||
" <td>15.1321</td>\n",
|
||
" <td>207.15</td>\n",
|
||
" <td>15.4554</td>\n",
|
||
" <td>152.85</td>\n",
|
||
" <td>-14.8088</td>\n",
|
||
" <td>inf</td>\n",
|
||
" <td>-27.15</td>\n",
|
||
" <td>inf</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>12</th>\n",
|
||
" <td>2024-06-21</td>\n",
|
||
" <td>317</td>\n",
|
||
" <td>Long Straddle</td>\n",
|
||
" <td>179.42</td>\n",
|
||
" <td>180.0</td>\n",
|
||
" <td>180.0</td>\n",
|
||
" <td>20.15</td>\n",
|
||
" <td>13.55</td>\n",
|
||
" <td>33.7</td>\n",
|
||
" <td>18.7827</td>\n",
|
||
" <td>213.7</td>\n",
|
||
" <td>19.106</td>\n",
|
||
" <td>146.3</td>\n",
|
||
" <td>-18.4595</td>\n",
|
||
" <td>inf</td>\n",
|
||
" <td>-33.7</td>\n",
|
||
" <td>inf</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>13</th>\n",
|
||
" <td>2024-09-20</td>\n",
|
||
" <td>408</td>\n",
|
||
" <td>Long Straddle</td>\n",
|
||
" <td>179.42</td>\n",
|
||
" <td>180.0</td>\n",
|
||
" <td>180.0</td>\n",
|
||
" <td>23.7</td>\n",
|
||
" <td>15.35</td>\n",
|
||
" <td>39.05</td>\n",
|
||
" <td>21.7646</td>\n",
|
||
" <td>219.05</td>\n",
|
||
" <td>22.0878</td>\n",
|
||
" <td>140.95</td>\n",
|
||
" <td>-21.4413</td>\n",
|
||
" <td>inf</td>\n",
|
||
" <td>-39.05</td>\n",
|
||
" <td>inf</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>14</th>\n",
|
||
" <td>2024-12-20</td>\n",
|
||
" <td>499</td>\n",
|
||
" <td>Long Straddle</td>\n",
|
||
" <td>179.42</td>\n",
|
||
" <td>180.0</td>\n",
|
||
" <td>180.0</td>\n",
|
||
" <td>27.05</td>\n",
|
||
" <td>17.1</td>\n",
|
||
" <td>44.15</td>\n",
|
||
" <td>24.6071</td>\n",
|
||
" <td>224.15</td>\n",
|
||
" <td>24.9303</td>\n",
|
||
" <td>135.85</td>\n",
|
||
" <td>-24.2838</td>\n",
|
||
" <td>inf</td>\n",
|
||
" <td>-44.15</td>\n",
|
||
" <td>inf</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>15</th>\n",
|
||
" <td>2025-01-17</td>\n",
|
||
" <td>527</td>\n",
|
||
" <td>Long Straddle</td>\n",
|
||
" <td>179.42</td>\n",
|
||
" <td>180.0</td>\n",
|
||
" <td>180.0</td>\n",
|
||
" <td>27.95</td>\n",
|
||
" <td>17.45</td>\n",
|
||
" <td>45.4</td>\n",
|
||
" <td>25.3038</td>\n",
|
||
" <td>225.4</td>\n",
|
||
" <td>25.627</td>\n",
|
||
" <td>134.6</td>\n",
|
||
" <td>-24.9805</td>\n",
|
||
" <td>inf</td>\n",
|
||
" <td>-45.4</td>\n",
|
||
" <td>inf</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>16</th>\n",
|
||
" <td>2025-06-20</td>\n",
|
||
" <td>681</td>\n",
|
||
" <td>Long Straddle</td>\n",
|
||
" <td>179.42</td>\n",
|
||
" <td>180.0</td>\n",
|
||
" <td>180.0</td>\n",
|
||
" <td>32.55</td>\n",
|
||
" <td>19.9</td>\n",
|
||
" <td>52.45</td>\n",
|
||
" <td>29.2331</td>\n",
|
||
" <td>232.45</td>\n",
|
||
" <td>29.5563</td>\n",
|
||
" <td>127.55</td>\n",
|
||
" <td>-28.9098</td>\n",
|
||
" <td>inf</td>\n",
|
||
" <td>-52.45</td>\n",
|
||
" <td>inf</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>17</th>\n",
|
||
" <td>2025-12-19</td>\n",
|
||
" <td>863</td>\n",
|
||
" <td>Long Straddle</td>\n",
|
||
" <td>179.42</td>\n",
|
||
" <td>180.0</td>\n",
|
||
" <td>180.0</td>\n",
|
||
" <td>37.3</td>\n",
|
||
" <td>22.3</td>\n",
|
||
" <td>59.6</td>\n",
|
||
" <td>33.2181</td>\n",
|
||
" <td>239.6</td>\n",
|
||
" <td>33.5414</td>\n",
|
||
" <td>120.4</td>\n",
|
||
" <td>-32.8949</td>\n",
|
||
" <td>inf</td>\n",
|
||
" <td>-59.6</td>\n",
|
||
" <td>inf</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"</div>\n",
|
||
" <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-e2ef5074-aa29-4e6f-b0c5-46615557d634')\"\n",
|
||
" title=\"Convert this dataframe to an interactive table.\"\n",
|
||
" style=\"display:none;\">\n",
|
||
"\n",
|
||
" <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
|
||
" width=\"24px\">\n",
|
||
" <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
|
||
" <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
|
||
" </svg>\n",
|
||
" </button>\n",
|
||
"\n",
|
||
"\n",
|
||
"\n",
|
||
" <div id=\"df-ecad0759-7760-4615-9c82-a832dbe14dc1\">\n",
|
||
" <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-ecad0759-7760-4615-9c82-a832dbe14dc1')\"\n",
|
||
" title=\"Suggest charts.\"\n",
|
||
" style=\"display:none;\">\n",
|
||
"\n",
|
||
"<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
|
||
" width=\"24px\">\n",
|
||
" <g>\n",
|
||
" <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
|
||
" </g>\n",
|
||
"</svg>\n",
|
||
" </button>\n",
|
||
" </div>\n",
|
||
"\n",
|
||
"<style>\n",
|
||
" .colab-df-quickchart {\n",
|
||
" background-color: #E8F0FE;\n",
|
||
" border: none;\n",
|
||
" border-radius: 50%;\n",
|
||
" cursor: pointer;\n",
|
||
" display: none;\n",
|
||
" fill: #1967D2;\n",
|
||
" height: 32px;\n",
|
||
" padding: 0 0 0 0;\n",
|
||
" width: 32px;\n",
|
||
" }\n",
|
||
"\n",
|
||
" .colab-df-quickchart:hover {\n",
|
||
" background-color: #E2EBFA;\n",
|
||
" box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
|
||
" fill: #174EA6;\n",
|
||
" }\n",
|
||
"\n",
|
||
" [theme=dark] .colab-df-quickchart {\n",
|
||
" background-color: #3B4455;\n",
|
||
" fill: #D2E3FC;\n",
|
||
" }\n",
|
||
"\n",
|
||
" [theme=dark] .colab-df-quickchart:hover {\n",
|
||
" background-color: #434B5C;\n",
|
||
" box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
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" filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
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||
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|
||
" }\n",
|
||
"</style>\n",
|
||
"\n",
|
||
" <script>\n",
|
||
" async function quickchart(key) {\n",
|
||
" const containerElement = document.querySelector('#' + key);\n",
|
||
" const charts = await google.colab.kernel.invokeFunction(\n",
|
||
" 'suggestCharts', [key], {});\n",
|
||
" }\n",
|
||
" </script>\n",
|
||
"\n",
|
||
" <script>\n",
|
||
"\n",
|
||
"function displayQuickchartButton(domScope) {\n",
|
||
" let quickchartButtonEl =\n",
|
||
" domScope.querySelector('#df-ecad0759-7760-4615-9c82-a832dbe14dc1 button.colab-df-quickchart');\n",
|
||
" quickchartButtonEl.style.display =\n",
|
||
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
|
||
"}\n",
|
||
"\n",
|
||
" displayQuickchartButton(document);\n",
|
||
" </script>\n",
|
||
" <style>\n",
|
||
" .colab-df-container {\n",
|
||
" display:flex;\n",
|
||
" flex-wrap:wrap;\n",
|
||
" gap: 12px;\n",
|
||
" }\n",
|
||
"\n",
|
||
" .colab-df-convert {\n",
|
||
" background-color: #E8F0FE;\n",
|
||
" border: none;\n",
|
||
" border-radius: 50%;\n",
|
||
" cursor: pointer;\n",
|
||
" display: none;\n",
|
||
" fill: #1967D2;\n",
|
||
" height: 32px;\n",
|
||
" padding: 0 0 0 0;\n",
|
||
" width: 32px;\n",
|
||
" }\n",
|
||
"\n",
|
||
" .colab-df-convert:hover {\n",
|
||
" background-color: #E2EBFA;\n",
|
||
" box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
|
||
" fill: #174EA6;\n",
|
||
" }\n",
|
||
"\n",
|
||
" [theme=dark] .colab-df-convert {\n",
|
||
" background-color: #3B4455;\n",
|
||
" fill: #D2E3FC;\n",
|
||
" }\n",
|
||
"\n",
|
||
" [theme=dark] .colab-df-convert:hover {\n",
|
||
" background-color: #434B5C;\n",
|
||
" box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
|
||
" filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
|
||
" fill: #FFFFFF;\n",
|
||
" }\n",
|
||
" </style>\n",
|
||
"\n",
|
||
" <script>\n",
|
||
" const buttonEl =\n",
|
||
" document.querySelector('#df-e2ef5074-aa29-4e6f-b0c5-46615557d634 button.colab-df-convert');\n",
|
||
" buttonEl.style.display =\n",
|
||
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
|
||
"\n",
|
||
" async function convertToInteractive(key) {\n",
|
||
" const element = document.querySelector('#df-e2ef5074-aa29-4e6f-b0c5-46615557d634');\n",
|
||
" const dataTable =\n",
|
||
" await google.colab.kernel.invokeFunction('convertToInteractive',\n",
|
||
" [key], {});\n",
|
||
" if (!dataTable) return;\n",
|
||
"\n",
|
||
" const docLinkHtml = 'Like what you see? Visit the ' +\n",
|
||
" '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
|
||
" + ' to learn more about interactive tables.';\n",
|
||
" element.innerHTML = '';\n",
|
||
" dataTable['output_type'] = 'display_data';\n",
|
||
" await google.colab.output.renderOutput(dataTable, element);\n",
|
||
" const docLink = document.createElement('div');\n",
|
||
" docLink.innerHTML = docLinkHtml;\n",
|
||
" element.appendChild(docLink);\n",
|
||
" }\n",
|
||
" </script>\n",
|
||
" </div>\n",
|
||
" </div>\n"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"execution_count": 6
|
||
}
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"source": [
|
||
"print(f\"Last Price of Underlying: {options.last_price}\")\n",
|
||
"options.get_skew()"
|
||
],
|
||
"metadata": {
|
||
"colab": {
|
||
"base_uri": "https://localhost:8080/",
|
||
"height": 442
|
||
},
|
||
"id": "qKxdTqbKienM",
|
||
"outputId": "e50cf906-5904-4bf1-af82-6cd3867cd7b9"
|
||
},
|
||
"execution_count": 7,
|
||
"outputs": [
|
||
{
|
||
"output_type": "stream",
|
||
"name": "stdout",
|
||
"text": [
|
||
"Last Price of Underlying: 179.42\n"
|
||
]
|
||
},
|
||
{
|
||
"output_type": "execute_result",
|
||
"data": {
|
||
"text/plain": [
|
||
" Expiration Strike Option Type IV ATM IV Skew\n",
|
||
"0 2023-08-11 50.0 put 5.1895 0.2470 4.9425\n",
|
||
"1 2023-08-11 60.0 put 4.4677 0.2470 4.2207\n",
|
||
"2 2023-08-11 65.0 put 4.1514 0.2470 3.9044\n",
|
||
"3 2023-08-11 70.0 put 3.8588 0.2470 3.6118\n",
|
||
"4 2023-08-11 75.0 put 3.5865 0.2470 3.3395\n",
|
||
"... ... ... ... ... ... ...\n",
|
||
"1508 2025-12-19 290.0 put 0.3132 0.2666 0.0466\n",
|
||
"1509 2025-12-19 300.0 call 0.2225 0.2708 -0.0483\n",
|
||
"1510 2025-12-19 300.0 put 0.3366 0.2666 0.0700\n",
|
||
"1511 2025-12-19 310.0 call 0.2211 0.2708 -0.0497\n",
|
||
"1512 2025-12-19 310.0 put 0.3460 0.2666 0.0794\n",
|
||
"\n",
|
||
"[1513 rows x 6 columns]"
|
||
],
|
||
"text/html": [
|
||
"\n",
|
||
"\n",
|
||
" <div id=\"df-a7276714-33bc-4711-829c-d9e32c415be2\">\n",
|
||
" <div class=\"colab-df-container\">\n",
|
||
" <div>\n",
|
||
"<style scoped>\n",
|
||
" .dataframe tbody tr th:only-of-type {\n",
|
||
" vertical-align: middle;\n",
|
||
" }\n",
|
||
"\n",
|
||
" .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>Expiration</th>\n",
|
||
" <th>Strike</th>\n",
|
||
" <th>Option Type</th>\n",
|
||
" <th>IV</th>\n",
|
||
" <th>ATM IV</th>\n",
|
||
" <th>Skew</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>2023-08-11</td>\n",
|
||
" <td>50.0</td>\n",
|
||
" <td>put</td>\n",
|
||
" <td>5.1895</td>\n",
|
||
" <td>0.2470</td>\n",
|
||
" <td>4.9425</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1</th>\n",
|
||
" <td>2023-08-11</td>\n",
|
||
" <td>60.0</td>\n",
|
||
" <td>put</td>\n",
|
||
" <td>4.4677</td>\n",
|
||
" <td>0.2470</td>\n",
|
||
" <td>4.2207</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2</th>\n",
|
||
" <td>2023-08-11</td>\n",
|
||
" <td>65.0</td>\n",
|
||
" <td>put</td>\n",
|
||
" <td>4.1514</td>\n",
|
||
" <td>0.2470</td>\n",
|
||
" <td>3.9044</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>3</th>\n",
|
||
" <td>2023-08-11</td>\n",
|
||
" <td>70.0</td>\n",
|
||
" <td>put</td>\n",
|
||
" <td>3.8588</td>\n",
|
||
" <td>0.2470</td>\n",
|
||
" <td>3.6118</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>4</th>\n",
|
||
" <td>2023-08-11</td>\n",
|
||
" <td>75.0</td>\n",
|
||
" <td>put</td>\n",
|
||
" <td>3.5865</td>\n",
|
||
" <td>0.2470</td>\n",
|
||
" <td>3.3395</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>...</th>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1508</th>\n",
|
||
" <td>2025-12-19</td>\n",
|
||
" <td>290.0</td>\n",
|
||
" <td>put</td>\n",
|
||
" <td>0.3132</td>\n",
|
||
" <td>0.2666</td>\n",
|
||
" <td>0.0466</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1509</th>\n",
|
||
" <td>2025-12-19</td>\n",
|
||
" <td>300.0</td>\n",
|
||
" <td>call</td>\n",
|
||
" <td>0.2225</td>\n",
|
||
" <td>0.2708</td>\n",
|
||
" <td>-0.0483</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1510</th>\n",
|
||
" <td>2025-12-19</td>\n",
|
||
" <td>300.0</td>\n",
|
||
" <td>put</td>\n",
|
||
" <td>0.3366</td>\n",
|
||
" <td>0.2666</td>\n",
|
||
" <td>0.0700</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1511</th>\n",
|
||
" <td>2025-12-19</td>\n",
|
||
" <td>310.0</td>\n",
|
||
" <td>call</td>\n",
|
||
" <td>0.2211</td>\n",
|
||
" <td>0.2708</td>\n",
|
||
" <td>-0.0497</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1512</th>\n",
|
||
" <td>2025-12-19</td>\n",
|
||
" <td>310.0</td>\n",
|
||
" <td>put</td>\n",
|
||
" <td>0.3460</td>\n",
|
||
" <td>0.2666</td>\n",
|
||
" <td>0.0794</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"<p>1513 rows × 6 columns</p>\n",
|
||
"</div>\n",
|
||
" <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-a7276714-33bc-4711-829c-d9e32c415be2')\"\n",
|
||
" title=\"Convert this dataframe to an interactive table.\"\n",
|
||
" style=\"display:none;\">\n",
|
||
"\n",
|
||
" <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
|
||
" width=\"24px\">\n",
|
||
" <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
|
||
" <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
|
||
" </svg>\n",
|
||
" </button>\n",
|
||
"\n",
|
||
"\n",
|
||
"\n",
|
||
" <div id=\"df-31080597-6145-4878-8626-08128e749c76\">\n",
|
||
" <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-31080597-6145-4878-8626-08128e749c76')\"\n",
|
||
" title=\"Suggest charts.\"\n",
|
||
" style=\"display:none;\">\n",
|
||
"\n",
|
||
"<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
|
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" width=\"24px\">\n",
|
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" <g>\n",
|
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" <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
|
||
" </g>\n",
|
||
"</svg>\n",
|
||
" </button>\n",
|
||
" </div>\n",
|
||
"\n",
|
||
"<style>\n",
|
||
" .colab-df-quickchart {\n",
|
||
" background-color: #E8F0FE;\n",
|
||
" border: none;\n",
|
||
" border-radius: 50%;\n",
|
||
" cursor: pointer;\n",
|
||
" display: none;\n",
|
||
" fill: #1967D2;\n",
|
||
" height: 32px;\n",
|
||
" padding: 0 0 0 0;\n",
|
||
" width: 32px;\n",
|
||
" }\n",
|
||
"\n",
|
||
" .colab-df-quickchart:hover {\n",
|
||
" background-color: #E2EBFA;\n",
|
||
" box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
|
||
" fill: #174EA6;\n",
|
||
" }\n",
|
||
"\n",
|
||
" [theme=dark] .colab-df-quickchart {\n",
|
||
" background-color: #3B4455;\n",
|
||
" fill: #D2E3FC;\n",
|
||
" }\n",
|
||
"\n",
|
||
" [theme=dark] .colab-df-quickchart:hover {\n",
|
||
" background-color: #434B5C;\n",
|
||
" box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
|
||
" filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
|
||
" fill: #FFFFFF;\n",
|
||
" }\n",
|
||
"</style>\n",
|
||
"\n",
|
||
" <script>\n",
|
||
" async function quickchart(key) {\n",
|
||
" const containerElement = document.querySelector('#' + key);\n",
|
||
" const charts = await google.colab.kernel.invokeFunction(\n",
|
||
" 'suggestCharts', [key], {});\n",
|
||
" }\n",
|
||
" </script>\n",
|
||
"\n",
|
||
" <script>\n",
|
||
"\n",
|
||
"function displayQuickchartButton(domScope) {\n",
|
||
" let quickchartButtonEl =\n",
|
||
" domScope.querySelector('#df-31080597-6145-4878-8626-08128e749c76 button.colab-df-quickchart');\n",
|
||
" quickchartButtonEl.style.display =\n",
|
||
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
|
||
"}\n",
|
||
"\n",
|
||
" displayQuickchartButton(document);\n",
|
||
" </script>\n",
|
||
" <style>\n",
|
||
" .colab-df-container {\n",
|
||
" display:flex;\n",
|
||
" flex-wrap:wrap;\n",
|
||
" gap: 12px;\n",
|
||
" }\n",
|
||
"\n",
|
||
" .colab-df-convert {\n",
|
||
" background-color: #E8F0FE;\n",
|
||
" border: none;\n",
|
||
" border-radius: 50%;\n",
|
||
" cursor: pointer;\n",
|
||
" display: none;\n",
|
||
" fill: #1967D2;\n",
|
||
" height: 32px;\n",
|
||
" padding: 0 0 0 0;\n",
|
||
" width: 32px;\n",
|
||
" }\n",
|
||
"\n",
|
||
" .colab-df-convert:hover {\n",
|
||
" background-color: #E2EBFA;\n",
|
||
" box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
|
||
" fill: #174EA6;\n",
|
||
" }\n",
|
||
"\n",
|
||
" [theme=dark] .colab-df-convert {\n",
|
||
" background-color: #3B4455;\n",
|
||
" fill: #D2E3FC;\n",
|
||
" }\n",
|
||
"\n",
|
||
" [theme=dark] .colab-df-convert:hover {\n",
|
||
" background-color: #434B5C;\n",
|
||
" box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
|
||
" filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
|
||
" fill: #FFFFFF;\n",
|
||
" }\n",
|
||
" </style>\n",
|
||
"\n",
|
||
" <script>\n",
|
||
" const buttonEl =\n",
|
||
" document.querySelector('#df-a7276714-33bc-4711-829c-d9e32c415be2 button.colab-df-convert');\n",
|
||
" buttonEl.style.display =\n",
|
||
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
|
||
"\n",
|
||
" async function convertToInteractive(key) {\n",
|
||
" const element = document.querySelector('#df-a7276714-33bc-4711-829c-d9e32c415be2');\n",
|
||
" const dataTable =\n",
|
||
" await google.colab.kernel.invokeFunction('convertToInteractive',\n",
|
||
" [key], {});\n",
|
||
" if (!dataTable) return;\n",
|
||
"\n",
|
||
" const docLinkHtml = 'Like what you see? Visit the ' +\n",
|
||
" '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
|
||
" + ' to learn more about interactive tables.';\n",
|
||
" element.innerHTML = '';\n",
|
||
" dataTable['output_type'] = 'display_data';\n",
|
||
" await google.colab.output.renderOutput(dataTable, element);\n",
|
||
" const docLink = document.createElement('div');\n",
|
||
" docLink.innerHTML = docLinkHtml;\n",
|
||
" element.appendChild(docLink);\n",
|
||
" }\n",
|
||
" </script>\n",
|
||
" </div>\n",
|
||
" </div>\n"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"execution_count": 7
|
||
}
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"source": [
|
||
"# The data for the chains is stored as a class property, `chains`.\n",
|
||
"\n",
|
||
"options.chains"
|
||
],
|
||
"metadata": {
|
||
"colab": {
|
||
"base_uri": "https://localhost:8080/",
|
||
"height": 487
|
||
},
|
||
"id": "CBJeBoq-nurT",
|
||
"outputId": "e1c52a4b-f69f-4071-b3cb-9d77b7cbc171"
|
||
},
|
||
"execution_count": 8,
|
||
"outputs": [
|
||
{
|
||
"output_type": "execute_result",
|
||
"data": {
|
||
"text/plain": [
|
||
" expiration strike optionType contractSymbol bid bidSize \\\n",
|
||
"0 2023-08-11 50.0 call AAPL230811C00050000 129.30 1 \n",
|
||
"1 2023-08-11 50.0 put AAPL230811P00050000 0.00 0 \n",
|
||
"2 2023-08-11 60.0 call AAPL230811C00060000 119.30 1 \n",
|
||
"3 2023-08-11 60.0 put AAPL230811P00060000 0.00 0 \n",
|
||
"4 2023-08-11 65.0 call AAPL230811C00065000 114.30 1 \n",
|
||
"... ... ... ... ... ... ... \n",
|
||
"1797 2025-12-19 290.0 put AAPL251219P00290000 109.10 90 \n",
|
||
"1798 2025-12-19 300.0 call AAPL251219C00300000 4.05 107 \n",
|
||
"1799 2025-12-19 300.0 put AAPL251219P00300000 119.30 2 \n",
|
||
"1800 2025-12-19 310.0 call AAPL251219C00310000 3.25 130 \n",
|
||
"1801 2025-12-19 310.0 put AAPL251219P00310000 129.05 59 \n",
|
||
"\n",
|
||
" ask askSize impliedVolatility openInterest ... change open \\\n",
|
||
"0 129.45 1 0.0000 4 ... 0.000 0.0 \n",
|
||
"1 0.01 624 5.1895 1 ... 0.000 0.0 \n",
|
||
"2 119.45 1 0.0000 1 ... 0.000 0.0 \n",
|
||
"3 0.01 624 4.4677 0 ... 0.000 0.0 \n",
|
||
"4 114.45 1 0.0000 0 ... 0.000 0.0 \n",
|
||
"... ... ... ... ... ... ... ... \n",
|
||
"1797 112.50 102 0.3132 0 ... 0.000 0.0 \n",
|
||
"1798 4.20 340 0.2225 5130 ... -0.150 4.1 \n",
|
||
"1799 122.40 102 0.3366 1 ... 2.000 121.0 \n",
|
||
"1800 3.45 150 0.2211 3419 ... -0.075 3.3 \n",
|
||
"1801 132.45 100 0.3460 0 ... 0.000 0.0 \n",
|
||
"\n",
|
||
" high low tick lastTradePrice lastTradeTimestamp \\\n",
|
||
"0 0.00 0.00 up 129.30 2023-08-08T14:18:27 \n",
|
||
"1 0.00 0.00 up 0.01 2023-08-08T10:36:09 \n",
|
||
"2 0.00 0.00 down 118.85 2023-08-07T10:50:09 \n",
|
||
"3 0.00 0.00 no_change 0.00 None \n",
|
||
"4 0.00 0.00 no_change 0.00 None \n",
|
||
"... ... ... ... ... ... \n",
|
||
"1797 0.00 0.00 down 101.00 2023-06-28T10:34:27 \n",
|
||
"1798 4.10 3.90 no_change 4.05 2023-08-09T13:49:34 \n",
|
||
"1799 122.00 121.00 up 122.00 2023-08-09T11:06:30 \n",
|
||
"1800 3.35 3.15 up 3.35 2023-08-09T14:24:11 \n",
|
||
"1801 0.00 0.00 up 125.50 2023-08-04T14:01:04 \n",
|
||
"\n",
|
||
" changePercent previousClose dte \n",
|
||
"0 0.00 130.03 2 \n",
|
||
"1 0.00 0.00 2 \n",
|
||
"2 0.00 120.02 2 \n",
|
||
"3 0.00 0.00 2 \n",
|
||
"4 0.00 115.02 2 \n",
|
||
"... ... ... ... \n",
|
||
"1797 0.00 110.05 863 \n",
|
||
"1798 -3.57 4.20 863 \n",
|
||
"1799 1.67 120.00 863 \n",
|
||
"1800 -2.19 3.42 863 \n",
|
||
"1801 0.00 130.05 863 \n",
|
||
"\n",
|
||
"[1802 rows x 27 columns]"
|
||
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|
||
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|
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|
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|
||
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|
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|
||
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|
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||
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||
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|
||
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|
||
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|
||
" <tr style=\"text-align: right;\">\n",
|
||
" <th></th>\n",
|
||
" <th>expiration</th>\n",
|
||
" <th>strike</th>\n",
|
||
" <th>optionType</th>\n",
|
||
" <th>contractSymbol</th>\n",
|
||
" <th>bid</th>\n",
|
||
" <th>bidSize</th>\n",
|
||
" <th>ask</th>\n",
|
||
" <th>askSize</th>\n",
|
||
" <th>impliedVolatility</th>\n",
|
||
" <th>openInterest</th>\n",
|
||
" <th>...</th>\n",
|
||
" <th>change</th>\n",
|
||
" <th>open</th>\n",
|
||
" <th>high</th>\n",
|
||
" <th>low</th>\n",
|
||
" <th>tick</th>\n",
|
||
" <th>lastTradePrice</th>\n",
|
||
" <th>lastTradeTimestamp</th>\n",
|
||
" <th>changePercent</th>\n",
|
||
" <th>previousClose</th>\n",
|
||
" <th>dte</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>2023-08-11</td>\n",
|
||
" <td>50.0</td>\n",
|
||
" <td>call</td>\n",
|
||
" <td>AAPL230811C00050000</td>\n",
|
||
" <td>129.30</td>\n",
|
||
" <td>1</td>\n",
|
||
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||
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||
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|
||
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||
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|
||
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|
||
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|
||
" <td>0.00</td>\n",
|
||
" <td>0.00</td>\n",
|
||
" <td>up</td>\n",
|
||
" <td>129.30</td>\n",
|
||
" <td>2023-08-08T14:18:27</td>\n",
|
||
" <td>0.00</td>\n",
|
||
" <td>130.03</td>\n",
|
||
" <td>2</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1</th>\n",
|
||
" <td>2023-08-11</td>\n",
|
||
" <td>50.0</td>\n",
|
||
" <td>put</td>\n",
|
||
" <td>AAPL230811P00050000</td>\n",
|
||
" <td>0.00</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0.01</td>\n",
|
||
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|
||
" <td>5.1895</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.0</td>\n",
|
||
" <td>0.00</td>\n",
|
||
" <td>0.00</td>\n",
|
||
" <td>up</td>\n",
|
||
" <td>0.01</td>\n",
|
||
" <td>2023-08-08T10:36:09</td>\n",
|
||
" <td>0.00</td>\n",
|
||
" <td>0.00</td>\n",
|
||
" <td>2</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2</th>\n",
|
||
" <td>2023-08-11</td>\n",
|
||
" <td>60.0</td>\n",
|
||
" <td>call</td>\n",
|
||
" <td>AAPL230811C00060000</td>\n",
|
||
" <td>119.30</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>119.45</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>0.0000</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.0</td>\n",
|
||
" <td>0.00</td>\n",
|
||
" <td>0.00</td>\n",
|
||
" <td>down</td>\n",
|
||
" <td>118.85</td>\n",
|
||
" <td>2023-08-07T10:50:09</td>\n",
|
||
" <td>0.00</td>\n",
|
||
" <td>120.02</td>\n",
|
||
" <td>2</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>3</th>\n",
|
||
" <td>2023-08-11</td>\n",
|
||
" <td>60.0</td>\n",
|
||
" <td>put</td>\n",
|
||
" <td>AAPL230811P00060000</td>\n",
|
||
" <td>0.00</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0.01</td>\n",
|
||
" <td>624</td>\n",
|
||
" <td>4.4677</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.0</td>\n",
|
||
" <td>0.00</td>\n",
|
||
" <td>0.00</td>\n",
|
||
" <td>no_change</td>\n",
|
||
" <td>0.00</td>\n",
|
||
" <td>None</td>\n",
|
||
" <td>0.00</td>\n",
|
||
" <td>0.00</td>\n",
|
||
" <td>2</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>4</th>\n",
|
||
" <td>2023-08-11</td>\n",
|
||
" <td>65.0</td>\n",
|
||
" <td>call</td>\n",
|
||
" <td>AAPL230811C00065000</td>\n",
|
||
" <td>114.30</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>114.45</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>0.0000</td>\n",
|
||
" <td>0</td>\n",
|
||
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|
||
" <td>0.000</td>\n",
|
||
" <td>0.0</td>\n",
|
||
" <td>0.00</td>\n",
|
||
" <td>0.00</td>\n",
|
||
" <td>no_change</td>\n",
|
||
" <td>0.00</td>\n",
|
||
" <td>None</td>\n",
|
||
" <td>0.00</td>\n",
|
||
" <td>115.02</td>\n",
|
||
" <td>2</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>...</th>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1797</th>\n",
|
||
" <td>2025-12-19</td>\n",
|
||
" <td>290.0</td>\n",
|
||
" <td>put</td>\n",
|
||
" <td>AAPL251219P00290000</td>\n",
|
||
" <td>109.10</td>\n",
|
||
" <td>90</td>\n",
|
||
" <td>112.50</td>\n",
|
||
" <td>102</td>\n",
|
||
" <td>0.3132</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.0</td>\n",
|
||
" <td>0.00</td>\n",
|
||
" <td>0.00</td>\n",
|
||
" <td>down</td>\n",
|
||
" <td>101.00</td>\n",
|
||
" <td>2023-06-28T10:34:27</td>\n",
|
||
" <td>0.00</td>\n",
|
||
" <td>110.05</td>\n",
|
||
" <td>863</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1798</th>\n",
|
||
" <td>2025-12-19</td>\n",
|
||
" <td>300.0</td>\n",
|
||
" <td>call</td>\n",
|
||
" <td>AAPL251219C00300000</td>\n",
|
||
" <td>4.05</td>\n",
|
||
" <td>107</td>\n",
|
||
" <td>4.20</td>\n",
|
||
" <td>340</td>\n",
|
||
" <td>0.2225</td>\n",
|
||
" <td>5130</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>-0.150</td>\n",
|
||
" <td>4.1</td>\n",
|
||
" <td>4.10</td>\n",
|
||
" <td>3.90</td>\n",
|
||
" <td>no_change</td>\n",
|
||
" <td>4.05</td>\n",
|
||
" <td>2023-08-09T13:49:34</td>\n",
|
||
" <td>-3.57</td>\n",
|
||
" <td>4.20</td>\n",
|
||
" <td>863</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1799</th>\n",
|
||
" <td>2025-12-19</td>\n",
|
||
" <td>300.0</td>\n",
|
||
" <td>put</td>\n",
|
||
" <td>AAPL251219P00300000</td>\n",
|
||
" <td>119.30</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>122.40</td>\n",
|
||
" <td>102</td>\n",
|
||
" <td>0.3366</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>2.000</td>\n",
|
||
" <td>121.0</td>\n",
|
||
" <td>122.00</td>\n",
|
||
" <td>121.00</td>\n",
|
||
" <td>up</td>\n",
|
||
" <td>122.00</td>\n",
|
||
" <td>2023-08-09T11:06:30</td>\n",
|
||
" <td>1.67</td>\n",
|
||
" <td>120.00</td>\n",
|
||
" <td>863</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1800</th>\n",
|
||
" <td>2025-12-19</td>\n",
|
||
" <td>310.0</td>\n",
|
||
" <td>call</td>\n",
|
||
" <td>AAPL251219C00310000</td>\n",
|
||
" <td>3.25</td>\n",
|
||
" <td>130</td>\n",
|
||
" <td>3.45</td>\n",
|
||
" <td>150</td>\n",
|
||
" <td>0.2211</td>\n",
|
||
" <td>3419</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>-0.075</td>\n",
|
||
" <td>3.3</td>\n",
|
||
" <td>3.35</td>\n",
|
||
" <td>3.15</td>\n",
|
||
" <td>up</td>\n",
|
||
" <td>3.35</td>\n",
|
||
" <td>2023-08-09T14:24:11</td>\n",
|
||
" <td>-2.19</td>\n",
|
||
" <td>3.42</td>\n",
|
||
" <td>863</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1801</th>\n",
|
||
" <td>2025-12-19</td>\n",
|
||
" <td>310.0</td>\n",
|
||
" <td>put</td>\n",
|
||
" <td>AAPL251219P00310000</td>\n",
|
||
" <td>129.05</td>\n",
|
||
" <td>59</td>\n",
|
||
" <td>132.45</td>\n",
|
||
" <td>100</td>\n",
|
||
" <td>0.3460</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>0.000</td>\n",
|
||
" <td>0.0</td>\n",
|
||
" <td>0.00</td>\n",
|
||
" <td>0.00</td>\n",
|
||
" <td>up</td>\n",
|
||
" <td>125.50</td>\n",
|
||
" <td>2023-08-04T14:01:04</td>\n",
|
||
" <td>0.00</td>\n",
|
||
" <td>130.05</td>\n",
|
||
" <td>863</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"<p>1802 rows × 27 columns</p>\n",
|
||
"</div>\n",
|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
" <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
|
||
" </svg>\n",
|
||
" </button>\n",
|
||
"\n",
|
||
"\n",
|
||
"\n",
|
||
" <div id=\"df-127314b8-75aa-4a35-a72a-6c6f3c98b961\">\n",
|
||
" <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-127314b8-75aa-4a35-a72a-6c6f3c98b961')\"\n",
|
||
" title=\"Suggest charts.\"\n",
|
||
" style=\"display:none;\">\n",
|
||
"\n",
|
||
"<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
|
||
" width=\"24px\">\n",
|
||
" <g>\n",
|
||
" <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
|
||
" </g>\n",
|
||
"</svg>\n",
|
||
" </button>\n",
|
||
" </div>\n",
|
||
"\n",
|
||
"<style>\n",
|
||
" .colab-df-quickchart {\n",
|
||
" background-color: #E8F0FE;\n",
|
||
" border: none;\n",
|
||
" border-radius: 50%;\n",
|
||
" cursor: pointer;\n",
|
||
" display: none;\n",
|
||
" fill: #1967D2;\n",
|
||
" height: 32px;\n",
|
||
" padding: 0 0 0 0;\n",
|
||
" width: 32px;\n",
|
||
" }\n",
|
||
"\n",
|
||
" .colab-df-quickchart:hover {\n",
|
||
" background-color: #E2EBFA;\n",
|
||
" box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
|
||
" fill: #174EA6;\n",
|
||
" }\n",
|
||
"\n",
|
||
" [theme=dark] .colab-df-quickchart {\n",
|
||
" background-color: #3B4455;\n",
|
||
" fill: #D2E3FC;\n",
|
||
" }\n",
|
||
"\n",
|
||
" [theme=dark] .colab-df-quickchart:hover {\n",
|
||
" background-color: #434B5C;\n",
|
||
" box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
|
||
" filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
|
||
" fill: #FFFFFF;\n",
|
||
" }\n",
|
||
"</style>\n",
|
||
"\n",
|
||
" <script>\n",
|
||
" async function quickchart(key) {\n",
|
||
" const containerElement = document.querySelector('#' + key);\n",
|
||
" const charts = await google.colab.kernel.invokeFunction(\n",
|
||
" 'suggestCharts', [key], {});\n",
|
||
" }\n",
|
||
" </script>\n",
|
||
"\n",
|
||
" <script>\n",
|
||
"\n",
|
||
"function displayQuickchartButton(domScope) {\n",
|
||
" let quickchartButtonEl =\n",
|
||
" domScope.querySelector('#df-127314b8-75aa-4a35-a72a-6c6f3c98b961 button.colab-df-quickchart');\n",
|
||
" quickchartButtonEl.style.display =\n",
|
||
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
|
||
"}\n",
|
||
"\n",
|
||
" displayQuickchartButton(document);\n",
|
||
" </script>\n",
|
||
" <style>\n",
|
||
" .colab-df-container {\n",
|
||
" display:flex;\n",
|
||
" flex-wrap:wrap;\n",
|
||
" gap: 12px;\n",
|
||
" }\n",
|
||
"\n",
|
||
" .colab-df-convert {\n",
|
||
" background-color: #E8F0FE;\n",
|
||
" border: none;\n",
|
||
" border-radius: 50%;\n",
|
||
" cursor: pointer;\n",
|
||
" display: none;\n",
|
||
" fill: #1967D2;\n",
|
||
" height: 32px;\n",
|
||
" padding: 0 0 0 0;\n",
|
||
" width: 32px;\n",
|
||
" }\n",
|
||
"\n",
|
||
" .colab-df-convert:hover {\n",
|
||
" background-color: #E2EBFA;\n",
|
||
" box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
|
||
" fill: #174EA6;\n",
|
||
" }\n",
|
||
"\n",
|
||
" [theme=dark] .colab-df-convert {\n",
|
||
" background-color: #3B4455;\n",
|
||
" fill: #D2E3FC;\n",
|
||
" }\n",
|
||
"\n",
|
||
" [theme=dark] .colab-df-convert:hover {\n",
|
||
" background-color: #434B5C;\n",
|
||
" box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
|
||
" filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
|
||
" fill: #FFFFFF;\n",
|
||
" }\n",
|
||
" </style>\n",
|
||
"\n",
|
||
" <script>\n",
|
||
" const buttonEl =\n",
|
||
" document.querySelector('#df-829ff2b9-1980-47e5-8038-9a5a7d0bc654 button.colab-df-convert');\n",
|
||
" buttonEl.style.display =\n",
|
||
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
|
||
"\n",
|
||
" async function convertToInteractive(key) {\n",
|
||
" const element = document.querySelector('#df-829ff2b9-1980-47e5-8038-9a5a7d0bc654');\n",
|
||
" const dataTable =\n",
|
||
" await google.colab.kernel.invokeFunction('convertToInteractive',\n",
|
||
" [key], {});\n",
|
||
" if (!dataTable) return;\n",
|
||
"\n",
|
||
" const docLinkHtml = 'Like what you see? Visit the ' +\n",
|
||
" '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
|
||
" + ' to learn more about interactive tables.';\n",
|
||
" element.innerHTML = '';\n",
|
||
" dataTable['output_type'] = 'display_data';\n",
|
||
" await google.colab.output.renderOutput(dataTable, element);\n",
|
||
" const docLink = document.createElement('div');\n",
|
||
" docLink.innerHTML = docLinkHtml;\n",
|
||
" element.appendChild(docLink);\n",
|
||
" }\n",
|
||
" </script>\n",
|
||
" </div>\n",
|
||
" </div>\n"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"execution_count": 8
|
||
}
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"source": [
|
||
"# The source for the data can be defined by using the `source` argument.\n",
|
||
"# Instructions for obtaining and entering API keys are found here: https://docs.openbb.co/sdk/usage/api-keys\n",
|
||
"\n",
|
||
"balance_sheet_growth = openbb.stocks.fa.balance(symbol, ratios = True).transpose()\n",
|
||
"\n",
|
||
"balance_sheet_growth"
|
||
],
|
||
"metadata": {
|
||
"colab": {
|
||
"base_uri": "https://localhost:8080/",
|
||
"height": 337
|
||
},
|
||
"id": "nC2Iy_kTYqnf",
|
||
"outputId": "d01644ab-fe22-4d48-ded9-8d3f298810a9"
|
||
},
|
||
"execution_count": 9,
|
||
"outputs": [
|
||
{
|
||
"output_type": "execute_result",
|
||
"data": {
|
||
"text/plain": [
|
||
"Breakdown Cash and cash equivalents Other short-term investments \\\n",
|
||
"2022-09-30 -0.323240 -0.109787 \n",
|
||
"2021-09-30 -0.080913 -0.476657 \n",
|
||
"2020-09-30 -0.221685 0.023476 \n",
|
||
"2019-09-30 0.000000 0.000000 \n",
|
||
"\n",
|
||
"Breakdown Total cash Net receivables Inventory Other current assets \\\n",
|
||
"2022-09-30 -0.228851 0.072532 -0.248328 0.504004 \n",
|
||
"2021-09-30 -0.311228 0.630149 0.620291 0.252752 \n",
|
||
"2020-09-30 -0.095607 -0.296868 -0.010960 -0.088083 \n",
|
||
"2019-09-30 0.000000 0.000000 0.000000 0.000000 \n",
|
||
"\n",
|
||
"Breakdown Total current assets Gross property plant and equipment \\\n",
|
||
"2022-09-30 0.004220 0.043145 \n",
|
||
"2021-09-30 -0.061769 0.059859 \n",
|
||
"2020-09-30 -0.117345 0.078879 \n",
|
||
"2019-09-30 0.000000 0.000000 \n",
|
||
"\n",
|
||
"Breakdown Accumulated depreciation Net property plant and equipment ... \\\n",
|
||
"2022-09-30 0.029267 0.067875 ... \n",
|
||
"2021-09-30 0.052771 0.072730 ... \n",
|
||
"2020-09-30 0.139658 -0.016373 ... \n",
|
||
"2019-09-30 0.000000 0.000000 ... \n",
|
||
"\n",
|
||
"Breakdown Total current liabilities Long-term debt \\\n",
|
||
"2022-09-30 0.227134 -0.093001 \n",
|
||
"2021-09-30 0.190612 0.105800 \n",
|
||
"2020-09-30 -0.003084 0.074722 \n",
|
||
"2019-09-30 0.000000 0.000000 \n",
|
||
"\n",
|
||
"Breakdown Other long-term liabilities Total non-current liabilities \\\n",
|
||
"2022-09-30 -0.078444 -0.088222 \n",
|
||
"2021-09-30 -0.021380 0.060552 \n",
|
||
"2020-09-30 0.078946 0.076221 \n",
|
||
"2019-09-30 0.000000 0.000000 \n",
|
||
"\n",
|
||
"Breakdown Total liabilities Common stock Retained earnings \\\n",
|
||
"2022-09-30 0.049220 0.130463 -1.551600 \n",
|
||
"2021-09-30 0.113568 0.129699 -0.628358 \n",
|
||
"2020-09-30 0.042419 0.124076 -0.673929 \n",
|
||
"2019-09-30 0.000000 0.000000 0.000000 \n",
|
||
"\n",
|
||
"Breakdown Accumulated other comprehensive income \\\n",
|
||
"2022-09-30 -69.153374 \n",
|
||
"2021-09-30 -1.401478 \n",
|
||
"2020-09-30 -0.304795 \n",
|
||
"2019-09-30 0.000000 \n",
|
||
"\n",
|
||
"Breakdown Total stockholders' equity \\\n",
|
||
"2022-09-30 -0.196830 \n",
|
||
"2021-09-30 -0.034420 \n",
|
||
"2020-09-30 -0.277926 \n",
|
||
"2019-09-30 0.000000 \n",
|
||
"\n",
|
||
"Breakdown Total liabilities and stockholders' equity \n",
|
||
"2022-09-30 0.004994 \n",
|
||
"2021-09-30 0.083714 \n",
|
||
"2020-09-30 -0.043212 \n",
|
||
"2019-09-30 0.000000 \n",
|
||
"\n",
|
||
"[4 rows x 28 columns]"
|
||
],
|
||
"text/html": [
|
||
"\n",
|
||
"\n",
|
||
" <div id=\"df-f5c3961d-86e4-4d13-8250-e32f14ef3afc\">\n",
|
||
" <div class=\"colab-df-container\">\n",
|
||
" <div>\n",
|
||
"<style scoped>\n",
|
||
" .dataframe tbody tr th:only-of-type {\n",
|
||
" vertical-align: middle;\n",
|
||
" }\n",
|
||
"\n",
|
||
" .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>Breakdown</th>\n",
|
||
" <th>Cash and cash equivalents</th>\n",
|
||
" <th>Other short-term investments</th>\n",
|
||
" <th>Total cash</th>\n",
|
||
" <th>Net receivables</th>\n",
|
||
" <th>Inventory</th>\n",
|
||
" <th>Other current assets</th>\n",
|
||
" <th>Total current assets</th>\n",
|
||
" <th>Gross property plant and equipment</th>\n",
|
||
" <th>Accumulated depreciation</th>\n",
|
||
" <th>Net property plant and equipment</th>\n",
|
||
" <th>...</th>\n",
|
||
" <th>Total current liabilities</th>\n",
|
||
" <th>Long-term debt</th>\n",
|
||
" <th>Other long-term liabilities</th>\n",
|
||
" <th>Total non-current liabilities</th>\n",
|
||
" <th>Total liabilities</th>\n",
|
||
" <th>Common stock</th>\n",
|
||
" <th>Retained earnings</th>\n",
|
||
" <th>Accumulated other comprehensive income</th>\n",
|
||
" <th>Total stockholders' equity</th>\n",
|
||
" <th>Total liabilities and stockholders' equity</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>2022-09-30</th>\n",
|
||
" <td>-0.323240</td>\n",
|
||
" <td>-0.109787</td>\n",
|
||
" <td>-0.228851</td>\n",
|
||
" <td>0.072532</td>\n",
|
||
" <td>-0.248328</td>\n",
|
||
" <td>0.504004</td>\n",
|
||
" <td>0.004220</td>\n",
|
||
" <td>0.043145</td>\n",
|
||
" <td>0.029267</td>\n",
|
||
" <td>0.067875</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>0.227134</td>\n",
|
||
" <td>-0.093001</td>\n",
|
||
" <td>-0.078444</td>\n",
|
||
" <td>-0.088222</td>\n",
|
||
" <td>0.049220</td>\n",
|
||
" <td>0.130463</td>\n",
|
||
" <td>-1.551600</td>\n",
|
||
" <td>-69.153374</td>\n",
|
||
" <td>-0.196830</td>\n",
|
||
" <td>0.004994</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2021-09-30</th>\n",
|
||
" <td>-0.080913</td>\n",
|
||
" <td>-0.476657</td>\n",
|
||
" <td>-0.311228</td>\n",
|
||
" <td>0.630149</td>\n",
|
||
" <td>0.620291</td>\n",
|
||
" <td>0.252752</td>\n",
|
||
" <td>-0.061769</td>\n",
|
||
" <td>0.059859</td>\n",
|
||
" <td>0.052771</td>\n",
|
||
" <td>0.072730</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>0.190612</td>\n",
|
||
" <td>0.105800</td>\n",
|
||
" <td>-0.021380</td>\n",
|
||
" <td>0.060552</td>\n",
|
||
" <td>0.113568</td>\n",
|
||
" <td>0.129699</td>\n",
|
||
" <td>-0.628358</td>\n",
|
||
" <td>-1.401478</td>\n",
|
||
" <td>-0.034420</td>\n",
|
||
" <td>0.083714</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2020-09-30</th>\n",
|
||
" <td>-0.221685</td>\n",
|
||
" <td>0.023476</td>\n",
|
||
" <td>-0.095607</td>\n",
|
||
" <td>-0.296868</td>\n",
|
||
" <td>-0.010960</td>\n",
|
||
" <td>-0.088083</td>\n",
|
||
" <td>-0.117345</td>\n",
|
||
" <td>0.078879</td>\n",
|
||
" <td>0.139658</td>\n",
|
||
" <td>-0.016373</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>-0.003084</td>\n",
|
||
" <td>0.074722</td>\n",
|
||
" <td>0.078946</td>\n",
|
||
" <td>0.076221</td>\n",
|
||
" <td>0.042419</td>\n",
|
||
" <td>0.124076</td>\n",
|
||
" <td>-0.673929</td>\n",
|
||
" <td>-0.304795</td>\n",
|
||
" <td>-0.277926</td>\n",
|
||
" <td>-0.043212</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2019-09-30</th>\n",
|
||
" <td>0.000000</td>\n",
|
||
" <td>0.000000</td>\n",
|
||
" <td>0.000000</td>\n",
|
||
" <td>0.000000</td>\n",
|
||
" <td>0.000000</td>\n",
|
||
" <td>0.000000</td>\n",
|
||
" <td>0.000000</td>\n",
|
||
" <td>0.000000</td>\n",
|
||
" <td>0.000000</td>\n",
|
||
" <td>0.000000</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>0.000000</td>\n",
|
||
" <td>0.000000</td>\n",
|
||
" <td>0.000000</td>\n",
|
||
" <td>0.000000</td>\n",
|
||
" <td>0.000000</td>\n",
|
||
" <td>0.000000</td>\n",
|
||
" <td>0.000000</td>\n",
|
||
" <td>0.000000</td>\n",
|
||
" <td>0.000000</td>\n",
|
||
" <td>0.000000</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"<p>4 rows × 28 columns</p>\n",
|
||
"</div>\n",
|
||
" <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-f5c3961d-86e4-4d13-8250-e32f14ef3afc')\"\n",
|
||
" title=\"Convert this dataframe to an interactive table.\"\n",
|
||
" style=\"display:none;\">\n",
|
||
"\n",
|
||
" <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
|
||
" width=\"24px\">\n",
|
||
" <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
|
||
" <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
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"\n",
|
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" <div id=\"df-a1298838-1d01-455c-9f10-c69b55fd9b08\">\n",
|
||
" <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-a1298838-1d01-455c-9f10-c69b55fd9b08')\"\n",
|
||
" title=\"Suggest charts.\"\n",
|
||
" style=\"display:none;\">\n",
|
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"\n",
|
||
"<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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" <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
|
||
" </g>\n",
|
||
"</svg>\n",
|
||
" </button>\n",
|
||
" </div>\n",
|
||
"\n",
|
||
"<style>\n",
|
||
" .colab-df-quickchart {\n",
|
||
" background-color: #E8F0FE;\n",
|
||
" border: none;\n",
|
||
" border-radius: 50%;\n",
|
||
" cursor: pointer;\n",
|
||
" display: none;\n",
|
||
" fill: #1967D2;\n",
|
||
" height: 32px;\n",
|
||
" padding: 0 0 0 0;\n",
|
||
" width: 32px;\n",
|
||
" }\n",
|
||
"\n",
|
||
" .colab-df-quickchart:hover {\n",
|
||
" background-color: #E2EBFA;\n",
|
||
" box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
|
||
" fill: #174EA6;\n",
|
||
" }\n",
|
||
"\n",
|
||
" [theme=dark] .colab-df-quickchart {\n",
|
||
" background-color: #3B4455;\n",
|
||
" fill: #D2E3FC;\n",
|
||
" }\n",
|
||
"\n",
|
||
" [theme=dark] .colab-df-quickchart:hover {\n",
|
||
" background-color: #434B5C;\n",
|
||
" box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
|
||
" filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
|
||
" fill: #FFFFFF;\n",
|
||
" }\n",
|
||
"</style>\n",
|
||
"\n",
|
||
" <script>\n",
|
||
" async function quickchart(key) {\n",
|
||
" const containerElement = document.querySelector('#' + key);\n",
|
||
" const charts = await google.colab.kernel.invokeFunction(\n",
|
||
" 'suggestCharts', [key], {});\n",
|
||
" }\n",
|
||
" </script>\n",
|
||
"\n",
|
||
" <script>\n",
|
||
"\n",
|
||
"function displayQuickchartButton(domScope) {\n",
|
||
" let quickchartButtonEl =\n",
|
||
" domScope.querySelector('#df-a1298838-1d01-455c-9f10-c69b55fd9b08 button.colab-df-quickchart');\n",
|
||
" quickchartButtonEl.style.display =\n",
|
||
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
|
||
"}\n",
|
||
"\n",
|
||
" displayQuickchartButton(document);\n",
|
||
" </script>\n",
|
||
" <style>\n",
|
||
" .colab-df-container {\n",
|
||
" display:flex;\n",
|
||
" flex-wrap:wrap;\n",
|
||
" gap: 12px;\n",
|
||
" }\n",
|
||
"\n",
|
||
" .colab-df-convert {\n",
|
||
" background-color: #E8F0FE;\n",
|
||
" border: none;\n",
|
||
" border-radius: 50%;\n",
|
||
" cursor: pointer;\n",
|
||
" display: none;\n",
|
||
" fill: #1967D2;\n",
|
||
" height: 32px;\n",
|
||
" padding: 0 0 0 0;\n",
|
||
" width: 32px;\n",
|
||
" }\n",
|
||
"\n",
|
||
" .colab-df-convert:hover {\n",
|
||
" background-color: #E2EBFA;\n",
|
||
" box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
|
||
" fill: #174EA6;\n",
|
||
" }\n",
|
||
"\n",
|
||
" [theme=dark] .colab-df-convert {\n",
|
||
" background-color: #3B4455;\n",
|
||
" fill: #D2E3FC;\n",
|
||
" }\n",
|
||
"\n",
|
||
" [theme=dark] .colab-df-convert:hover {\n",
|
||
" background-color: #434B5C;\n",
|
||
" box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
|
||
" filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
|
||
" fill: #FFFFFF;\n",
|
||
" }\n",
|
||
" </style>\n",
|
||
"\n",
|
||
" <script>\n",
|
||
" const buttonEl =\n",
|
||
" document.querySelector('#df-f5c3961d-86e4-4d13-8250-e32f14ef3afc button.colab-df-convert');\n",
|
||
" buttonEl.style.display =\n",
|
||
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
|
||
"\n",
|
||
" async function convertToInteractive(key) {\n",
|
||
" const element = document.querySelector('#df-f5c3961d-86e4-4d13-8250-e32f14ef3afc');\n",
|
||
" const dataTable =\n",
|
||
" await google.colab.kernel.invokeFunction('convertToInteractive',\n",
|
||
" [key], {});\n",
|
||
" if (!dataTable) return;\n",
|
||
"\n",
|
||
" const docLinkHtml = 'Like what you see? Visit the ' +\n",
|
||
" '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
|
||
" + ' to learn more about interactive tables.';\n",
|
||
" element.innerHTML = '';\n",
|
||
" dataTable['output_type'] = 'display_data';\n",
|
||
" await google.colab.output.renderOutput(dataTable, element);\n",
|
||
" const docLink = document.createElement('div');\n",
|
||
" docLink.innerHTML = docLinkHtml;\n",
|
||
" element.appendChild(docLink);\n",
|
||
" }\n",
|
||
" </script>\n",
|
||
" </div>\n",
|
||
" </div>\n"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"execution_count": 9
|
||
}
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"source": [
|
||
"# Select a metric to display (note that YahooFinance has limited financial statement history)\n",
|
||
"\n",
|
||
"clear_output(wait = False)\n",
|
||
"\n",
|
||
"growth_choices = balance_sheet_growth.columns.tolist()\n",
|
||
"growth_selection = widgets.Dropdown(\n",
|
||
" options = growth_choices,\n",
|
||
" value = None,\n",
|
||
")\n",
|
||
"output = widgets.Output()\n",
|
||
"\n",
|
||
"def generate_growth_figure(growth_choice):\n",
|
||
" growth_fig = OpenBBFigure()\n",
|
||
" growth_fig.add_bar(\n",
|
||
" y = balance_sheet_growth[growth_choice][balance_sheet_growth[growth_choice] > 0].values,\n",
|
||
" x = balance_sheet_growth[growth_choice][balance_sheet_growth[growth_choice] > 0].index,\n",
|
||
" name = growth_choice + \" Growth\",\n",
|
||
" marker = dict(color = \"blue\"),\n",
|
||
" )\n",
|
||
" growth_fig.add_bar(\n",
|
||
" y = balance_sheet_growth[growth_choice][balance_sheet_growth[growth_choice] < 0].values,\n",
|
||
" x = balance_sheet_growth[growth_choice][balance_sheet_growth[growth_choice] < 0].index,\n",
|
||
" name = growth_choice + \" Growth\",\n",
|
||
" marker = dict(color = \"red\")\n",
|
||
" )\n",
|
||
" growth_fig.update_layout(\n",
|
||
" showlegend=False,\n",
|
||
" width=600,\n",
|
||
" height=200,\n",
|
||
" title = dict(\n",
|
||
" text=f\"{symbol} {growth_choice} Growth\",\n",
|
||
" xanchor = \"center\",\n",
|
||
" x = 0.5,\n",
|
||
" font = dict(size = 12)\n",
|
||
" ),\n",
|
||
" barmode=\"overlay\",\n",
|
||
" bargap=0,\n",
|
||
" bargroupgap=0,\n",
|
||
" yaxis = dict(\n",
|
||
" title = \"% Growth\",\n",
|
||
" title_font = dict(size = 12),\n",
|
||
" ),\n",
|
||
" xaxis = dict(\n",
|
||
" showgrid = False,\n",
|
||
" title_font = dict(size = 9)\n",
|
||
" )\n",
|
||
" )\n",
|
||
" growth_fig.update_xaxes(type=\"category\")\n",
|
||
" return growth_fig\n",
|
||
"\n",
|
||
"def on_value_change(change):\n",
|
||
" clear_output(wait = True)\n",
|
||
" display(growth_selection)\n",
|
||
" with output:\n",
|
||
" growth_selection.value\n",
|
||
"\n",
|
||
"growth_selection.observe(on_value_change, names=\"value\")\n",
|
||
"display(growth_selection)"
|
||
],
|
||
"metadata": {
|
||
"colab": {
|
||
"base_uri": "https://localhost:8080/",
|
||
"height": 49,
|
||
"referenced_widgets": [
|
||
"1c14db4b3fa04b67a7265adda2672f58",
|
||
"5038c42252f245e4906d27a68f23d7cd",
|
||
"ce2de0778cf24736b3ed515792072c94"
|
||
]
|
||
},
|
||
"id": "lx9Tglgqackd",
|
||
"outputId": "55757848-ee92-4f56-ad2c-dc4dd2499a3f"
|
||
},
|
||
"execution_count": 12,
|
||
"outputs": [
|
||
{
|
||
"output_type": "display_data",
|
||
"data": {
|
||
"text/plain": [
|
||
"Dropdown(index=2, options=('Cash and cash equivalents', 'Other short-term investments', 'Total cash', 'Net rec…"
|
||
],
|
||
"application/vnd.jupyter.widget-view+json": {
|
||
"version_major": 2,
|
||
"version_minor": 0,
|
||
"model_id": "1c14db4b3fa04b67a7265adda2672f58"
|
||
}
|
||
},
|
||
"metadata": {}
|
||
}
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"source": [
|
||
"# Play the cell to update to the selection.\n",
|
||
"\n",
|
||
"if not growth_selection.value is None:\n",
|
||
"\n",
|
||
" generate_growth_figure(growth_selection.value).show()"
|
||
],
|
||
"metadata": {
|
||
"colab": {
|
||
"base_uri": "https://localhost:8080/",
|
||
"height": 217
|
||
},
|
||
"id": "oWmne07cb6-Z",
|
||
"outputId": "c4b48906-187f-4d5c-ad11-4f1ef0b55986"
|
||
},
|
||
"execution_count": 14,
|
||
"outputs": [
|
||
{
|
||
"output_type": "display_data",
|
||
"data": {
|
||
"text/html": [
|
||
"<html>\n",
|
||
"<head><meta charset=\"utf-8\" /></head>\n",
|
||
"<body>\n",
|
||
" <div> <script src=\"https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js?config=TeX-AMS-MML_SVG\"></script><script type=\"text/javascript\">if (window.MathJax && window.MathJax.Hub && window.MathJax.Hub.Config) {window.MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}</script> <script type=\"text/javascript\">window.PlotlyConfig = {MathJaxConfig: 'local'};</script>\n",
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||
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"source": [
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"# Momentum Score\n",
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"\n",
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"def get_momentum(symbol) -> pd.DataFrame:\n",
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" \"\"\"\n",
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" Momentum Factor Exposure is calculated as the log trailing 12-month return minus trailing one-month return. Higher values indicate larger, positive momentum exposure.\n",
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"\n",
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" Momentum = ln(1 + r12) - ln(1 + r1)\n",
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"\n",
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" Parameters\n",
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" ----------\n",
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" symbol: Ticker\n",
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" The Ticker object\n",
|
||
"\n",
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" Returns\n",
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" -------\n",
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" pd.DataFrame\n",
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" Pandas DataFrame with the calculated historical momentum factor exposure score.\n",
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" \"\"\"\n",
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" monthly = openbb.stocks.load(symbol, monthly=True, start_date = \"1900-01-01\")[[\"Close\"]]\n",
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" monthly[\"12 Month Log Return\"] = np.log( 1 + monthly[[\"Close\"]].pct_change(12))\n",
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" monthly[\"1 Month Log Return\"] = np.log(1 + monthly[[\"Close\"]].pct_change(1))\n",
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" monthly = monthly.dropna()\n",
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" monthly[\"Momentum\"] = monthly[\"12 Month Log Return\"] - monthly[\"1 Month Log Return\"]\n",
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"\n",
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" return monthly\n",
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"\n",
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"momentum = get_momentum(symbol)\n",
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"print(f\"Momentum Score: {momentum.Momentum.iloc[-1]}\")\n",
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"momentum[\"Momentum\"].plot()"
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],
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"data": {
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"text/plain": [
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"Loading Monthly data for AAPL with starting period 1985-01-01.\n"
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"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Loading Monthly data for AAPL with starting period 1985-01-01.\n",
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"name": "stdout",
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"text": [
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"Momentum Score: 0.22871522034849812\n"
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