Indonesia’s Gold Trends by AI
Transforming 10+ years of gold price data into precise forecasts using LSTM neural networks for Indonesia’s market trends.
Python
PyTorch
NumPy
Matplotlib
Project Description
This project’s straight-up droppin’ LSTM neural nets to forecast Indonesian gold prices like a pro. It’s vibin’ off historical data to nail short-term predictions and keep it real for long-term outlooks.
Runnin’ on 10+ years of gold price data, it’s spittin’ next-day price calls, short-term trends (1-6 months), and even long-term visions (up to 5 years). Plus, you get dope interactive plots and exportable data for that extra sauce.
With next-level data crunchin’ and a souped-up LSTM setup, this tool’s got precision and adaptability on lock, makin’ it a total game-changer.
Key Features
Deep Learning Drip
LSTM neural nets bringin’ that A-game for predictions across all timeframes.
Visuals Poppin’
Dynamic plots make price forecasts look clean and easy to roll with.
Full-Range Forecast
From next-day vibes to 5-year plans, it’s got trends covered with style.
Technical Details
Python
My go-to for building robust backends with clean code
PyTorch
Open-source machine learning library for Python, great for deep learning
NumPy
Fundamental package for scientific computing with Python
Matplotlib
Plotting library for creating static, animated, and interactive visualizations
Seaborn
Statistical data visualization library based on Matplotlib