From 81c11c51bc898061442e2a138cbed22a19855399 Mon Sep 17 00:00:00 2001 From: Logan Tadano Date: Sat, 29 Nov 2025 17:53:25 -0800 Subject: [PATCH 1/3] feat : adding data fetching and preprocessing for WTI Oil Futures --- data/data_scraping/Logan_OilFutures.py | 94 +++++++++++++++++++ .../Logan_OilFutures_preprocessing.py | 35 +++++++ 2 files changed, 129 insertions(+) create mode 100644 data/data_scraping/Logan_OilFutures.py create mode 100644 data/data_scraping/Logan_OilFutures_preprocessing.py diff --git a/data/data_scraping/Logan_OilFutures.py b/data/data_scraping/Logan_OilFutures.py new file mode 100644 index 0000000..7d8c9cd --- /dev/null +++ b/data/data_scraping/Logan_OilFutures.py @@ -0,0 +1,94 @@ +import datetime as dt +import os +from pathlib import Path + +import databento as db + +# ------------------- +# 1. Config +# ------------------- +API_Key = "db-58uvdCKemq77SsUNGXEhs3jQd4Sv5" +DATASET = "GLBX.MDP3" # CME Globex futures dataset +SYMBOL = "CL.n.0" # Front-month continuous WTI Crude futures +STYPE_IN = "continuous" +SCHEMA = "ohlcv-1d" + +today = dt.date.today() +start_date = (today - dt.timedelta(days=365 * 2)).isoformat() +end_date = today.isoformat() + +client = db.Historical(API_Key) # uses DATABENTO_API_KEY env var + +# ------------------- +# Daily OHLCV data +# ------------------- +bars = client.timeseries.get_range( + dataset=DATASET, + symbols=[SYMBOL], + stype_in=STYPE_IN, + schema=SCHEMA, + start=start_date, + end=end_date, +) + +bars_df = bars.to_df() +bars_df["date"] = bars_df.index.date + + +# --------------- +# Get Expiration Dates +# ------------------- +defs = client.timeseries.get_range( + dataset=DATASET, + symbols="ALL_SYMBOLS", + schema="definition", + start=start_date, +) +defs_df = defs.to_df() + + +# Filter to CL futures only +fut_df = defs_df[defs_df["instrument_class"] == db.InstrumentClass.FUTURE] +cl_defs = fut_df[fut_df["asset"] == "CL"].copy() + +# Keep only what we need + drop duplicate instrument_ids +cl_defs = cl_defs[["instrument_id", "raw_symbol", "expiration"]].drop_duplicates( + "instrument_id" +) + +# ------------------- +# Join expirations onto OHLCV +# ------------------- +merged = bars_df.merge( + cl_defs, + on="instrument_id", + how="left", +) + + +# ------------------- +# Keep only your requested fields +# ------------------- +final_df = merged[ + [ + "date", # day of the bar + "open", # daily open price + "high", # daily high price + "low", # daily low price + "close", # daily closing price + "volume", # daily trading volume + "expiration", # contract expiration date + ] +] + + +# Choose where you want to save it +BASE_DIR = Path(r"C:\Users\mammo\Documents\AISC\Predictive_Modeling") +output_path = BASE_DIR / "data" / "finance_data" / "raw" / "Logan_OilFuturesRaw.csv" +# Make sure the folder exists (optional but nice) +os.makedirs(os.path.dirname(output_path), exist_ok=True) + +# Save to CSV (no index column in the file) +final_df.to_csv(output_path, index=False) + +print(f"Saved CSV to: {output_path}") diff --git a/data/data_scraping/Logan_OilFutures_preprocessing.py b/data/data_scraping/Logan_OilFutures_preprocessing.py new file mode 100644 index 0000000..2232011 --- /dev/null +++ b/data/data_scraping/Logan_OilFutures_preprocessing.py @@ -0,0 +1,35 @@ +from pathlib import Path + +import pandas as pd + +csv_path = r"C:\Users\mammo\Documents\AISC\OilFutures-API\Logan_OilFuturesRaw.csv" + +# Load and convert Date strings to date-time objects +df = pd.read_csv(csv_path, parse_dates=["date", "expiration"]) + +# Convert columns from string → datetime64[ns] +df["date"] = pd.to_datetime(df["date"]) +df["expiration"] = pd.to_datetime(df["expiration"]) + + +# Outlier detection beyond 3 standard deviations from the mean +num_df = df.select_dtypes(include=["float64", "int64"]) +means = num_df.mean() +sstds = num_df.std(ddof=0) + +# Z-score calculation +z_scores = (num_df - means) / sstds + +# Filter rows with any z-score > 3 or < -3 +outlier_mask = (z_scores.abs() > 3).any(axis=1) +outliers = df[outlier_mask] + +# Drop the outliers from the original dataframe +df_no_outliers = df[~outlier_mask].copy() +df = df_no_outliers + +BASE_DIR = Path(r"C:\Users\mammo\Documents\AISC\Predictive_Modeling") +out_path = ( + BASE_DIR / "data" / "finance_data" / "processed" / "Logan_OilFuturesProcessed.csv" +) +df.to_csv(out_path, index=False) From fde4703f767b17e6c2b9b1d392dbcc53cb0fdf82 Mon Sep 17 00:00:00 2001 From: Logan Tadano Date: Sat, 29 Nov 2025 18:11:39 -0800 Subject: [PATCH 2/3] feat : Use env var for Databento API key and format with ruff --- data/data_scraping/Logan_OilFutures.py | 10 ++++++++-- 1 file changed, 8 insertions(+), 2 deletions(-) diff --git a/data/data_scraping/Logan_OilFutures.py b/data/data_scraping/Logan_OilFutures.py index 7d8c9cd..9b5dea7 100644 --- a/data/data_scraping/Logan_OilFutures.py +++ b/data/data_scraping/Logan_OilFutures.py @@ -7,7 +7,7 @@ # ------------------- # 1. Config # ------------------- -API_Key = "db-58uvdCKemq77SsUNGXEhs3jQd4Sv5" + DATASET = "GLBX.MDP3" # CME Globex futures dataset SYMBOL = "CL.n.0" # Front-month continuous WTI Crude futures STYPE_IN = "continuous" @@ -17,7 +17,13 @@ start_date = (today - dt.timedelta(days=365 * 2)).isoformat() end_date = today.isoformat() -client = db.Historical(API_Key) # uses DATABENTO_API_KEY env var + +api_key = os.getenv("DATABENTO_API_KEY") +if not api_key: + raise RuntimeError( + "DATABENTO_API_KEY is not set. Please set it in your environment." + ) +client = db.Historical(api_key) # uses DATABENTO_API_KEY env var # ------------------- # Daily OHLCV data From 6a252072763c6f61948a33913e497c00ddd7c750 Mon Sep 17 00:00:00 2001 From: Logan Tadano Date: Sat, 29 Nov 2025 18:14:29 -0800 Subject: [PATCH 3/3] feat : adding raw and processsed csv files --- .../processed/Logan_OilFuturesProcessed.csv | 620 +++++++++++++++++ data/finance_data/raw/Logan_OilFuturesRaw.csv | 623 ++++++++++++++++++ 2 files changed, 1243 insertions(+) create mode 100644 data/finance_data/processed/Logan_OilFuturesProcessed.csv create mode 100644 data/finance_data/raw/Logan_OilFuturesRaw.csv diff --git a/data/finance_data/processed/Logan_OilFuturesProcessed.csv b/data/finance_data/processed/Logan_OilFuturesProcessed.csv new file mode 100644 index 0000000..0da3967 --- /dev/null +++ b/data/finance_data/processed/Logan_OilFuturesProcessed.csv @@ -0,0 +1,620 @@ +date,open,high,low,close,volume,expiration 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