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dli-invest · Nov 19, 2023 · b7d6ec7 · b7d6ec7
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diff --git a/_images/e6c8030c85b9deab46198b8797de84366e47aedf784f9daeb8e164e0bb0e38da.png b/_images/e6c8030c85b9deab46198b8797de84366e47aedf784f9daeb8e164e0bb0e38da.png
diff --git a/_images/fd3587ab408c4f2158e79c9efdd12c047170f3218ac85299376864b84ab11733.png b/_images/fd3587ab408c4f2158e79c9efdd12c047170f3218ac85299376864b84ab11733.png
diff --git a/_sources/docs/about_py.ipynb b/_sources/docs/about_py.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "ca5faf77",
+   "id": "1f068819",
    "metadata": {},
    "source": [
     "(about_py)=\n",

diff --git a/_sources/docs/afterthoughts/2020_thoughts.ipynb b/_sources/docs/afterthoughts/2020_thoughts.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "d1ed97ce",
+   "id": "f8a5f86d",
    "metadata": {},
    "source": [
     "# Stock Purchases Thoughts\n",
@@ -84,7 +84,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "id": "27f75671",
+   "id": "a628d537",
    "metadata": {},
    "outputs": [
     {
@@ -119,7 +119,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "a19371ee",
+   "id": "b4c21d87",
    "metadata": {},
    "source": [
     "The first few purchases on August 26 and September 03 were profitable, after the failed Sept 08 purchases and surprise drop I emailed the investor relations guy asking about india approval.\n",

diff --git a/_sources/docs/afterthoughts/2021_thoughts.ipynb b/_sources/docs/afterthoughts/2021_thoughts.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "1f34d03c",
+   "id": "795a4af0",
    "metadata": {},
    "source": [
     "# Stock Purchases Thoughts\n",

diff --git a/_sources/docs/afterthoughts/2022_thoughts.ipynb b/_sources/docs/afterthoughts/2022_thoughts.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "5cb3d7d4",
+   "id": "406b0fb8",
    "metadata": {},
    "source": [
     "# Initial Thoughts\n",

diff --git a/_sources/docs/afterthoughts/2023_thoughts.ipynb b/_sources/docs/afterthoughts/2023_thoughts.ipynb
@@ -3,7 +3,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "id": "022e56da",
+   "id": "b21cb4f5",
    "metadata": {},
    "outputs": [
     {

diff --git a/_sources/docs/afterthoughts/Industry_notes_trends.ipynb b/_sources/docs/afterthoughts/Industry_notes_trends.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "8469da9d",
+   "id": "4f3198f3",
    "metadata": {},
    "source": [
     "# Best Buy And Apple\n",

diff --git a/_sources/docs/ch1_trade_rules_to_live_by.ipynb b/_sources/docs/ch1_trade_rules_to_live_by.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "08484d34",
+   "id": "634d7d28",
    "metadata": {},
    "source": [
     "(trading_rules)=\n",

diff --git a/_sources/docs/ch2_code_4trading.ipynb b/_sources/docs/ch2_code_4trading.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "125eb2dd",
+   "id": "6b15aa0f",
    "metadata": {},
    "source": [
     "(pd_functions)=\n",
@@ -16,7 +16,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "id": "6df88369",
+   "id": "730f03c6",
    "metadata": {},
    "outputs": [
     {
@@ -59,7 +59,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "6fa1042b",
+   "id": "5bb22fb2",
    "metadata": {},
    "source": [
     "% Continue on with pandas examples\n",

diff --git a/_sources/docs/ch3_utility_code.ipynb b/_sources/docs/ch3_utility_code.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "760675c3",
+   "id": "651413fc",
    "metadata": {},
    "source": [
     "# Web Scrapping and Data Extraction\n",

diff --git a/_sources/docs/ch4_parameters.ipynb b/_sources/docs/ch4_parameters.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "e089ab8c",
+   "id": "24ab2513",
    "metadata": {},
    "source": [
     "(ch4_parameters)=\n",

diff --git a/_sources/docs/ch5_afterthoughts.ipynb b/_sources/docs/ch5_afterthoughts.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "f0cd0120",
+   "id": "c6bd7c8c",
    "metadata": {},
    "source": [
     "(Afterthoughts)=\n",

diff --git a/_sources/docs/ch6_predictions.ipynb b/_sources/docs/ch6_predictions.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "6cde73b7",
+   "id": "1fc55e5f",
    "metadata": {},
    "source": [
     "(Predictions)=\n",

diff --git a/_sources/docs/code/projects.ipynb b/_sources/docs/code/projects.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "d63979b0",
+   "id": "17ba51dd",
    "metadata": {},
    "source": [
     "# Stock Investing Projects\n",

diff --git a/_sources/docs/code/task_list.ipynb b/_sources/docs/code/task_list.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "32442c95",
+   "id": "360ade00",
    "metadata": {},
    "source": [
     "# Tasks\n",

diff --git a/_sources/docs/getting_started.ipynb b/_sources/docs/getting_started.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "c5289671",
+   "id": "af851409",
    "metadata": {},
    "source": [
     "(getting_started)=\n",
@@ -239,7 +239,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "id": "6ac75f4e",
+   "id": "db856ca0",
    "metadata": {},
    "outputs": [
     {
@@ -276,7 +276,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "9f3df92a",
+   "id": "6891db54",
    "metadata": {},
    "source": [
     "Don\\'t worry about the details for now --- let\\'s just run it and see\n",

diff --git a/_sources/docs/glossary.ipynb b/_sources/docs/glossary.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "f38ebe4f",
+   "id": "842c426a",
    "metadata": {},
    "source": [
     "(glossary)=\n",

diff --git a/_sources/docs/learn_more.ipynb b/_sources/docs/learn_more.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "44365c10",
+   "id": "5944de3d",
    "metadata": {},
    "source": [
     "# Learn More\n",
@@ -25,7 +25,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "id": "65c23211",
+   "id": "2c5a5a1b",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -38,7 +38,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "bcb9d96b",
+   "id": "c83b8919",
    "metadata": {},
    "source": [
     "Now let\\'s take the inner product"
@@ -47,7 +47,7 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "id": "4b8db8d6",
+   "id": "f0025c4c",
    "metadata": {},
    "outputs": [
     {
@@ -67,7 +67,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "85e7f5b2",
+   "id": "e3488494",
    "metadata": {},
    "source": [
     "The number you see here might vary slightly due to floating point arithmetic\n",
@@ -94,7 +94,7 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "id": "fbd7c247",
+   "id": "54909c3a",
    "metadata": {},
    "outputs": [
     {
@@ -120,7 +120,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "a34819a4",
+   "id": "2b88c009",
    "metadata": {},
    "source": [
     "SciPy includes many of the standard routines used in\n",
@@ -182,7 +182,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "1f1019e6",
+   "id": "b08f89f3",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -194,7 +194,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "8d6293b8",
+   "id": "9774b212",
    "metadata": {},
    "source": [
     "We can manipulate expressions"
@@ -203,7 +203,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "2642c799",
+   "id": "26dfcf8b",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -213,7 +213,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "8a5f92f7",
+   "id": "8875ae9d",
    "metadata": {},
    "source": [
     "solve polynomials"
@@ -222,7 +222,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "d612a04e",
+   "id": "b46737a6",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -233,7 +233,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "4ef5e2f7",
+   "id": "9cc54afe",
    "metadata": {},
    "source": [
     "and calculate limits, derivatives and integrals"
@@ -242,7 +242,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "fea32b7a",
+   "id": "f0770205",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -254,7 +254,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "013d8f38",
+   "id": "a6008e49",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -264,7 +264,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "201e0761",
+   "id": "2acc2b43",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -273,7 +273,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "1cc7b681",
+   "id": "42abd677",
    "metadata": {},
    "source": [
     "The beauty of importing this functionality into Python is that we are\n",
@@ -296,7 +296,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "5a5ef260",
+   "id": "a89228c9",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -313,7 +313,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "d0791ae1",
+   "id": "ffa4512c",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -322,7 +322,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "e7d6dab1",
+   "id": "f35f7952",
    "metadata": {},
    "source": [
     "## Further Reading\n",

diff --git a/_sources/docs/notes_from_courses.ipynb b/_sources/docs/notes_from_courses.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "59c97e63",
+   "id": "f64ca7e4",
    "metadata": {},
    "source": [
     "# Course Notes\n",

diff --git a/_sources/docs/predictions/2020_eoy_predictions.ipynb b/_sources/docs/predictions/2020_eoy_predictions.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "d3e3b385",
+   "id": "8ca653bf",
    "metadata": {},
    "source": [
     "(Predictions)=\n",