Milkman Trades — Data Vault

What is Bilbo's last name?

Data Vault

SPY indicator data & analysis scripts for independent verification
Data Files
Pre-computed indicator values for SPY across multiple timeframes. All files are gzip-compressed CSVs. Each row contains OHLCV data plus all Saty indicator values (Pivot Ribbon EMAs, ATR Levels, Phase Oscillator).
Scripts
Python scripts used to ingest raw data, compute indicators, and run backtests. Requires Python 3.10+ with pandas and sqlite3.
Methodology

Data Pipeline

Validation

Golden Gate Definition

The Golden Gate is the zone between the 38.2% and 61.8% ATR levels. “Entry” = price reaches 38.2%. “Completion” = price reaches 61.8% within the same session.

The Bilbo Golden Gate Thesis

Core Finding

The 60-minute Phase Oscillator at the moment of Golden Gate entry (38.2% hit) is a strong predictor of whether the Golden Gate will complete through 61.8%. When the 1-hour PO is aligned with the trade direction, completion rates jump significantly and time-to-completion is cut roughly in half.

The Bilbo Conditions

Why 60 Minutes?

The 10-minute Phase Oscillator was also tested but provides 5–12x less predictive edge. The 10m PO captures short-term noise — bar-by-bar swings don't reflect sustained momentum. The 60m PO filters for genuine directional conviction built over multiple hours, which is what drives Golden Gate completions.

Key Data Columns for Replication

Read the full Bilbo Golden Gate study →