Skip to main content

AerialView

Stock Market Analytics Dashboard

Browser Project Preview

This page illustrates an independently built Streamlit and Python analytics prototype. The full application runs locally from the repository; the preview below uses deterministic sample data and does not connect to a market feed.

Dashboard Features

Comprehensive stock market analytics in one interactive platform

Interactive Candlestick Charts

Illustrative AAPL - 30D
$185.20 (+1.9%)
Historical candlestick charts with volume overlays and selectable analysis periods

Technical Indicators

Moving Average (20)
Simple MA
$182.45
↗ +2.1%
Bollinger Bands
Upper/Lower
$190.2 / $174.8
Mid: $182.5
RSI (14)
Momentum
67.3
Neutral

Browser-only Watchlist Preview

Illustrative, deterministic prices — no live market feed or shared database.

Loading local sample watchlist...

Platform Capabilities

Implemented analytics building blocks for historical market exploration

Historical Data

Yahoo Finance retrieval through yfinance with five-minute dashboard caching

Interactive Charts

Candlestick charts with zoom, pan, and customizable indicators

Technical Analysis

Moving averages, Bollinger Bands, RSI, and correlation analysis

One-Click Insights

Streamlined interface for quick market analysis and comparisons

Validation Boundary

Useful analytics depth, prototype-level operational maturity.

Repository screenshots document prior local use, and the current source audit confirms the Streamlit dashboard, CLI, indicators, risk metrics, and correlation code paths. This is not a live trading terminal, investment recommendation service, or production market-data platform.

8/8 Package files parse

All Python files under the primary package pass a syntax audit.

1 Automated test

The included test calls Yahoo Finance directly, so it is network-dependent rather than an offline regression suite.

Not implemented: Alpha Vantage integration, PNG/PDF export, real news ingestion, hosted deployment, or production validation. Legacy Dash files remain alongside the primary Streamlit application.

Get Started

Set up AerialView locally for interactive stock analysis

1

Clone Repository

git clone https://github.com/BugVanquisher/AerialView.git
cd AerialView
2

Install Dependencies

pip install -r requirements.txt
3

Launch Dashboard

streamlit run aerialview/app/dashboard.py
Note: The implemented data path uses Yahoo Finance through yfinance and requires outbound network access. The repository does not currently implement Alpha Vantage or require an associated API key.