first commit

feature_engineering.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import requests\n",
+    "import pandas as pd\n",
+    "import json\n",
+    "import datetime\n",
+    "import numpy as np\n",
+    "from datetime import timedelta "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def getNews(api_key,endpoint,ticker,from_date,to_date,num=1000):\n",
+    "    # Set the parameters for the request\n",
+    "    params = {\n",
+    "        \"api_token\": api_key,\n",
+    "        \"s\": ticker,\n",
+    "        \"from\": from_date, \n",
+    "        \"to\": to_date,\n",
+    "        \"limit\": num,\n",
+    "    }\n",
+    "    \n",
+    "    # Make the request to the API\n",
+    "    response = requests.get(endpoint, params=params)\n",
+    "    \n",
+    "    # Print the response from the API\n",
+    "    #print(response.json())\n",
+    "\n",
+    "    #Return a Pandas dataframe from the response\n",
+    "    return pd.DataFrame(response.json())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "base",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.4"
+  },
+  "orig_nbformat": 4
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

feature_engineering.py

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+# %%
+import requests
+import pandas as pd
+import json
+import datetime
+import numpy as np
+from datetime import timedelta 
+
+# %%
+def getNews(api_key,endpoint,ticker,from_date,to_date,num=1000):
+    # Set the parameters for the request
+    params = {
+        "api_token": api_key,
+        "s": ticker,
+        "from": from_date, 
+        "to": to_date,
+        "limit": num,
+    }
+    
+    # Make the request to the API
+    response = requests.get(endpoint, params=params)
+    
+    # Print the response from the API
+    #print(response.json())
+
+    #Return a Pandas dataframe from the response
+    return pd.DataFrame(response.json())
+
+# %%
+
+
+

requirements.txt

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+#faker==14.2.0
+parsedatetime==2.6
+#nbconvert==7.2.0
+#plotly==5.9.0
+#streamlit_folium==0.17.4
+dataframe_image==0.2.3
+hopsworks
+hsml
+joblib
+matplotlib==3.6.3
+pandas==1.5.1
+#Pillow==10.2.0
+scikit-learn==1.4.0
+seaborn==0.13.2