Main ai

.vscode/jsconfig.json

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+{
+    "compilerOptions": {
+        "target": "esnext",
+        "lib": [
+            "esnext"
+        ]
+    }
+}

.vscode/launch.json

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+{
+    "configurations": [
+        {
+            "type": "pwa-msedge",
+            "name": "Launch Microsoft Edge",
+            "request": "launch",
+            "runtimeArgs": [
+                "--remote-debugging-port=9222"
+            ],
+            "url": "c:\\Users\\Aek ProTrader\\.vscode\\extensions\\ms-edgedevtools.vscode-edge-devtools-2.0.0\\out\\startpage\\index.html", // Provide your project's url to finish configuring
+            "presentation": {
+                "hidden": true
+            }
+        },
+        {
+            "type": "pwa-msedge",
+            "name": "Launch Microsoft Edge in headless mode",
+            "request": "launch",
+            "runtimeArgs": [
+                "--headless",
+                "--remote-debugging-port=9222"
+            ],
+            "url": "c:\\Users\\Aek ProTrader\\.vscode\\extensions\\ms-edgedevtools.vscode-edge-devtools-2.0.0\\out\\startpage\\index.html", // Provide your project's url to finish configuring
+            "presentation": {
+                "hidden": true
+            }
+        },
+        {
+            "type": "vscode-edge-devtools.debug",
+            "name": "Open Edge DevTools",
+            "request": "attach",
+            "url": "c:\\Users\\Aek ProTrader\\.vscode\\extensions\\ms-edgedevtools.vscode-edge-devtools-2.0.0\\out\\startpage\\index.html", // Provide your project's url to finish configuring
+            "presentation": {
+                "hidden": true
+            }
+        }
+    ],
+    "compounds": [
+        {
+            "name": "Launch Edge Headless and attach DevTools",
+            "configurations": [
+                "Launch Microsoft Edge in headless mode",
+                "Open Edge DevTools"
+            ]
+        },
+        {
+            "name": "Launch Edge and attach DevTools",
+            "configurations": [
+                "Launch Microsoft Edge",
+                "Open Edge DevTools"
+            ]
+        }
+    ]
+}

.vscode/main.js

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+/// <reference path="c:/Users/Aek ProTrader/.vscode/extensions/nur.script-0.2.1/@types/api.global.d.ts" />
+/// <reference path="c:/Users/Aek ProTrader/.vscode/extensions/nur.script-0.2.1/@types/vscode.global.d.ts" />
+//  @ts-check
+//  API: https://code.visualstudio.com/api/references/vscode-api
+
+function activate(_context) {
+   window.showInformationMessage('Hello, Welcome to the Project AI!');
+}
+
+function deactivate() {}
+
+module.exports = { activate, deactivate }

.vscode/settings.json

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+{
+    "jupyter.jupyterServerType": "local"
+}

Halo Strategy.py

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+import streamlit as st # web development
+import numpy as np # np mean, np random 
+import pandas as pd # read csv, df manipulation
+import time # to simulate a real time data, time loop 
+import plotly.express as px # interactive charts 
+
+
+# read csv from a github repo
+df = pd.read_csv("https://raw.githubusercontent.com/Lexie88rus/bank-marketing-analysis/master/bank.csv")
+
+
+st.set_page_config(
+    page_title = 'Real-Time Trading Strategy Dashboard',
+    page_icon = '✅',
+    layout = 'wide'
+)
+
+# dashboard title
+
+st.title("Real-Time / Live Data Science Dashboard")
+
+# top-level filters 
+
+job_filter = st.selectbox("Select the Job", pd.unique(df['job']))
+
+
+# creating a single-element container.
+placeholder = st.empty()
+
+# dataframe filter 
+
+df = df[df['job']==job_filter]
+
+# near real-time / live feed simulation 
+
+for seconds in range(200):
+#while True: 
+
+    df['age_new'] = df['age'] * np.random.choice(range(1,5))
+    df['balance_new'] = df['balance'] * np.random.choice(range(1,5))
+
+    # creating KPIs 
+    avg_age = np.mean(df['age_new']) 
+
+    count_married = int(df[(df["marital"]=='married')]['marital'].count() + np.random.choice(range(1,30)))
+
+    balance = np.mean(df['balance_new'])
+
+    with placeholder.container():
+        # create three columns
+        kpi1, kpi2, kpi3 = st.columns(3)
+
+        # fill in those three columns with respective metrics or KPIs 
+        kpi1.metric(label="Age ⏳", value=round(avg_age), delta= round(avg_age) - 10)
+        kpi2.metric(label="Married Count 💍", value= int(count_married), delta= - 10 + count_married)
+        kpi3.metric(label="A/C Balance ＄", value= f"$ {round(balance,2)} ", delta= - round(balance/count_married) * 100)
+
+        # create two columns for charts 
+
+        fig_col1, fig_col2 = st.columns(2)
+        with fig_col1:
+            st.markdown("### First Chart")
+            fig = px.density_heatmap(data_frame=df, y = 'age_new', x = 'marital')
+            st.write(fig)
+        with fig_col2:
+            st.markdown("### Second Chart")
+            fig2 = px.histogram(data_frame = df, x = 'age_new')
+            st.write(fig2)
+        st.markdown("### Detailed Data View")
+        st.dataframe(df)
+        time.sleep(1)
+    #placeholder.empty()
+
+