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dbogatic · Sep 28, 2021 · eba630b · eba630b
1 parent d39ba46
commit eba630b
Showing 1 changed file with 8 additions and 8 deletions.
diff --git a/value_screen.ipynb b/value_screen.ipynb
@@ -88,7 +88,7 @@
     "\n",
     "url = (f'https://financialmodelingprep.com/api/v3/stock-screener?marketCapMoreThan={market_cap}&betaMoreThan={beta}&volumeMoreThan={volume}&dividendMoreThan={dividend}&exchange={exchange}&limit={limit}&apikey={FMP_API_KEY}')\n",
     "\n",
-    "#get companies based on criteria defined about\n",
+    "# Get companies based on criteria defined about\n",
     "screen = requests.get(url).json()\n",
     "#screen"
    ],
@@ -106,14 +106,14 @@
    "cell_type": "code",
    "execution_count": 33,
    "source": [
-    "# add selected companies to a list\n",
+    "# Add selected companies to a list\n",
     "for item in screen:\n",
     "\tcompanies.append(item['symbol'])\n",
     "\t\n",
-    "# print(companies)\n",
+    "# Print(companies)\n",
     "value_ratios = {}\n",
     "\n",
-    "# get the financial ratios\n",
+    "# Get the financial ratios\n",
     "count = 0\n",
     "\n",
     "for company in companies:\n",
@@ -136,7 +136,7 @@
     "\t\t\tvalue_ratios[company]['Dividend_Yield'] = fin_ratios[0]['dividendYield']\n",
     "\t\t\tvalue_ratios[company]['Operating_Margin'] = fin_ratios[0]['operatingProfitMargin']\n",
     "\t\t\t\n",
-    "\t\t\t#more financials on growth\n",
+    "\t\t\t# More financials on growth\n",
     "\t\t\tgrowth_ratios = requests.get(f'https://financialmodelingprep.com/api/v3/financial-growth/{company}?apikey={FMP_API_KEY}').json()\n",
     "\t\t\t\n",
     "\t\t\tvalue_ratios[company]['Revenue_Growth'] = growth_ratios[0]['revenueGrowth']\n",
@@ -642,22 +642,22 @@
   {
    "cell_type": "markdown",
    "source": [
-    "# Normalize dataframe values "
+    "# Normalize Dataframe Values "
    ],
    "metadata": {}
   },
   {
    "cell_type": "code",
    "execution_count": 35,
    "source": [
-    "# calculate mean of dataframe columns to enable comparison across ratios\n",
+    "# Calculate mean of dataframe columns to enable comparison across ratios\n",
     "ratios_mean = []\n",
     "\n",
     "for item in df.columns:\n",
     "\n",
     "\tratios_mean.append(df[item].mean())\n",
     "\n",
-    "# divide each value in dataframe by mean to normalize values\n",
+    "# Divide each value in dataframe by mean to normalize values\n",
     "df = df / ratios_mean"
    ],
    "outputs": [],