2.2 KiB
ARIMA_SAX_Hybrid_Forecaster
This repository is a research framework for testing ARIMA and SAX hybrid forecasting. It does not claim profitable trading performance and must not be interpreted as a validated trading strategy unless explicitly demonstrated by reproducible out-of-sample evidence.
Owner: chiki2bum2
Platform: https://forge.mql5.io/chiki2bum2
Purpose
This is a research project first, not a trading-product project. It builds a reproducible research harness to answer one central scientific question:
Does a hybrid ARIMA + SAX forecasting architecture provide statistically and economically meaningful incremental predictive information compared with appropriate baselines and with each component individually?
The two conceptual references are:
| Method | Reference |
|---|---|
| ARIMA | https://www.mql5.com/en/articles/18247 |
| SAX | https://www.mql5.com/en/code/75543 |
These are methodology and implementation references only. They are not evidence that either method (or their combination) has trading edge.
Research posture
- No assumption that either model has predictive edge.
- No assumption that combining two models improves performance.
- No live trading / execution in this harness.
- No lookahead is permitted. A failing no-lookahead test is a hard stop.
No Edgeand insufficient analog conditions are legitimate outputs, not implementation failures.
Project structure
docs/ Design and research notes
configs/ Freezed experiment / model configurations
src/ Source code (python statistical/runtime engine)
tests/ Unit, integration and no-lookahead research tests
experiments/Experiment run definitions
results/ Reproducible output artifacts (git-ignored)
scripts/ Runner / report entry points
All user-visible research claims must separate OBSERVED vs INFERRED vs UNKNOWN vs DECISION.
See RESEARCH_PROTOCOL.md for the governance rules.
Status
This repository is in first-phase research bootstrap. See CHANGELOG.md.