LSTM Gold from Scratch
An LSTM written in pure NumPy that forecasts Indonesian gold prices from live data.
- Status
- Status: Completed
- Kind
- Machine Learning
- Started
- Jun 2025
- Updated
- Apr 2026
About it
The problem
Frameworks make LSTMs easy to use and hide how a cell, a layer and backpropagation through time actually work.
The approach
I implemented the LSTM cell, layer and network myself in NumPy, with a data fetcher for the Pegadaian gold API, preprocessing with technical indicators, and a configurable YAML pipeline.
- Single-step and multi-step forecasting.
- Training, prediction and technical-analysis plots.
- Regression, trading and time-series metrics, and saving and loading of the full pipeline.
The result
A learning project in the same spirit as Neural Network from Scratch, applied to gold prices.
What it does4
Pure NumPy LSTM
Live Data
Multiple Forecast Modes
Persistence
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