Initial hello world IBKR API connection.

2026-07-25 22:19:31 +03:00
parent 470e243526
commit 8d3e663e71
11 changed files with 456 additions and 3 deletions
@@ -10,6 +10,10 @@ Build a Python-based trading bot that uses machine learning to determine which a

 Responsible for acquiring and storing market, asset, and any future feature data needed for model training and evaluation.

+The first planned tool is an IBKR daily candle fetcher. It should fetch open, high, low, close, and volume data for a ticker and date range, then eventually persist that data to a ticker-named Parquet file. See [data-fetcher.md](data-fetcher.md).
+
+Parquet files are partitioned by ticker, not by date.
+
 Open decisions:

 - asset universe;
@@ -72,7 +76,7 @@ Possible scope:
 ## Near-Term Priorities

 1. Decide the initial project package structure.
-2. Add Python packaging and dependency management.
+2. Keep Python packaging and dependency management current with `uv`.
 3. Add a minimal configuration system.
 4. Define interfaces for data collection, model artifacts, and broker execution.
 5. Add tests for the core trading decision boundaries before connecting real broker behavior.