From 8d347156edd6b43665b8c704576c4c5c11caba7d Mon Sep 17 00:00:00 2001 From: Mark Conway Date: Fri, 1 May 2026 22:59:55 -0400 Subject: [PATCH 1/6] Finish v4.0.0 doc/script cleanup MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Removes the docs, scripts, and minor source residue left from the alphapy-finance split: - Delete market-specific docs (market.rst, market_flow.rst, system.rst, rrover_*, pipelines/system_pipeline images, tutorial market YAMLs). - Delete scripts/markets/ and scripts/run_agent.py — all six market scripts and the agent runner already live in alphapy-finance. - Drop unused imports (datetime, BytesIO, requests, PD_INTRADAY_OFFSETS) from alphapy/data.py. - Fix MarketFlow reference in alphapy/variables.py docstring. - Tighten tests/test_imports.py and the time-series project README. --- .gitignore | 2 +- alphapy/data.py | 5 - alphapy/variables.py | 2 +- docs/index.rst | 3 - docs/introduction/command.rst | 47 +-- docs/introduction/install.rst | 27 +- docs/introduction/introduction.rst | 36 +- docs/introduction/quickstart.rst | 21 +- docs/source/alphapy.rst | 42 +-- docs/tutorials/closer_market.yml | 30 -- docs/tutorials/market.rst | 176 --------- docs/tutorials/pyfolio.png | Bin 497114 -> 0 bytes docs/tutorials/returns.png | Bin 25648 -> 0 bytes docs/tutorials/rrover_calibration.png | Bin 58878 -> 0 bytes docs/tutorials/rrover_learning_curve.png | Bin 48302 -> 0 bytes docs/tutorials/rrover_market.yml | 138 ------- docs/tutorials/rrover_model.yml | 124 ------- docs/tutorials/rrover_roc_curve.png | Bin 36816 -> 0 bytes docs/tutorials/system.rst | 98 ----- docs/user_guide/market.yml | 134 ------- docs/user_guide/market_flow.rst | 369 ------------------- docs/user_guide/market_model.yml | 124 ------- docs/user_guide/market_pipeline.png | Bin 12092 -> 0 bytes docs/user_guide/pipelines.rst | 8 +- docs/user_guide/system_pipeline.png | Bin 42200 -> 0 bytes projects/time-series/README.md | 9 +- scripts/markets/analyze_encoding_deep.py | 277 -------------- scripts/markets/analyze_encoding_patterns.py | 260 ------------- scripts/markets/massive_app.py | 201 ---------- scripts/markets/massive_screener.py | 204 ---------- scripts/markets/test_massive.py | 174 --------- scripts/markets/test_massive_top_gainers.py | 200 ---------- scripts/run_agent.py | 136 ------- tests/test_imports.py | 22 +- 34 files changed, 55 insertions(+), 2814 deletions(-) delete mode 100644 docs/tutorials/closer_market.yml delete mode 100644 docs/tutorials/market.rst delete mode 100644 docs/tutorials/pyfolio.png delete mode 100644 docs/tutorials/returns.png delete mode 100644 docs/tutorials/rrover_calibration.png delete mode 100644 docs/tutorials/rrover_learning_curve.png delete mode 100644 docs/tutorials/rrover_market.yml delete mode 100644 docs/tutorials/rrover_model.yml delete mode 100644 docs/tutorials/rrover_roc_curve.png delete mode 100644 docs/tutorials/system.rst delete mode 100644 docs/user_guide/market.yml delete mode 100644 docs/user_guide/market_flow.rst delete mode 100644 docs/user_guide/market_model.yml delete mode 100644 docs/user_guide/market_pipeline.png delete mode 100644 docs/user_guide/system_pipeline.png delete mode 100644 scripts/markets/analyze_encoding_deep.py delete mode 100644 scripts/markets/analyze_encoding_patterns.py delete mode 100644 scripts/markets/massive_app.py delete mode 100644 scripts/markets/massive_screener.py delete mode 100644 scripts/markets/test_massive.py delete mode 100644 scripts/markets/test_massive_top_gainers.py delete mode 100644 scripts/run_agent.py diff --git a/.gitignore b/.gitignore index 8475ebb..1e99b5a 100644 --- a/.gitignore +++ b/.gitignore @@ -1,10 +1,10 @@ runs catboost_info *.pyc +__pycache__/ *.log *.whl *.gz -*.__pycache__ build/ dist/ *egg-info*/ diff --git a/alphapy/data.py b/alphapy/data.py index 372296c..68a00ff 100644 --- a/alphapy/data.py +++ b/alphapy/data.py @@ -32,18 +32,14 @@ from alphapy.globals import datasets from alphapy.globals import ModelType from alphapy.globals import Partition -from alphapy.globals import PD_INTRADAY_OFFSETS from alphapy.globals import SSEP from alphapy.globals import WILDCARD from alphapy.space import Space -from datetime import datetime -from io import BytesIO import logging import numpy as np import polars as pl import re -import requests from sklearn.preprocessing import LabelEncoder import sys @@ -178,4 +174,3 @@ def shuffle_data(model): return model - diff --git a/alphapy/variables.py b/alphapy/variables.py index 10f58f0..0ded7f6 100644 --- a/alphapy/variables.py +++ b/alphapy/variables.py @@ -574,7 +574,7 @@ def vapply(group, market_specs, vfuncs=None): group : alphapy.Group The input group. market_specs : dict - The specifications for controlling the MarketFlow pipeline. + Specifications for applying variable definitions across grouped data. vfuncs : dict, optional Dictionary of external modules and functions. diff --git a/docs/index.rst b/docs/index.rst index 0471d77..8de161c 100644 --- a/docs/index.rst +++ b/docs/index.rst @@ -16,8 +16,6 @@ AlphaPy Pro Documentation :caption: Tutorials tutorials/kaggle - tutorials/market - tutorials/system .. toctree:: :maxdepth: 2 @@ -25,7 +23,6 @@ AlphaPy Pro Documentation user_guide/pipelines user_guide/project - user_guide/market_flow .. toctree:: :maxdepth: 2 diff --git a/docs/introduction/command.rst b/docs/introduction/command.rst index f846178..61a9716 100644 --- a/docs/introduction/command.rst +++ b/docs/introduction/command.rst @@ -3,7 +3,7 @@ Command Line Interface The AlphaPy Pro Command Line Interface (CLI) provides a streamlined way to run machine learning pipelines. Simply navigate to your project -directory and run the appropriate command. +directory and run ``alphapy``. Basic Usage ----------- @@ -44,41 +44,12 @@ Example:: # Train with verbose output alphapy --train --verbose -**mflow** - MarketFlow Pipeline -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - -For financial market analysis and trading systems:: - - mflow [options] - -Options: - -* ``--train`` - Train new models [Default] -* ``--predict`` - Make predictions from saved models -* ``--tdate YYYY-MM-DD`` - Training start date (Default: earliest date) -* ``--pdate YYYY-MM-DD`` - Prediction date (Default: today) -* ``--lookback N`` - Number of days for lookback window -* ``--forecast N`` - Number of days to forecast - -Examples:: - - # Train a market model - mflow - - # Train from a specific date - mflow --tdate 2023-01-01 - - # Make predictions for a specific date - mflow --predict --pdate 2024-01-15 - - # Use lookback window - mflow --lookback 252 --forecast 20 - **Custom Pipelines** -~~~~~~~~~~~~~~~~~~~ +~~~~~~~~~~~~~~~~~~~~ -You can create custom domain-specific pipelines following the MarketFlow pattern. -See the AlphaPy Pro architecture documentation for implementation details. +You can create custom data-preparation pipelines around AlphaPy by producing +the canonical ``train``/``test`` inputs expected by the package and then +running ``alphapy`` from the project directory. Project Structure Requirements ------------------------------ @@ -135,18 +106,12 @@ Then run:: # Use the model for multiple prediction sets alphapy --predict -**4. Market Backtesting**:: - - # Run market analysis with specific dates - mflow --tdate 2020-01-01 --pdate 2023-12-31 - Logging and Debugging --------------------- AlphaPy Pro creates detailed logs: * ``alphapy.log`` - Main pipeline log -* ``market_flow.log`` - MarketFlow specific log (when using mflow) To increase log verbosity:: @@ -161,4 +126,4 @@ Tips and Best Practices 4. **Keep model.yml under version control** 5. **Review plots** in the output directory for insights -For more details on configuration options, see :doc:`../user_guide/project`. \ No newline at end of file +For more details on configuration options, see :doc:`../user_guide/project`. diff --git a/docs/introduction/install.rst b/docs/introduction/install.rst index af3d080..0e98981 100644 --- a/docs/introduction/install.rst +++ b/docs/introduction/install.rst @@ -1,7 +1,7 @@ Installation ============ -AlphaPy Pro requires Python 3.10 or higher. You can install it directly +AlphaPy Pro requires Python 3.12 or higher. You can install it directly from the source repository or via pip after it's published. Development Installation @@ -12,7 +12,7 @@ in editable mode:: git clone https://github.com/ScottFreeLLC/alphapy-pro.git cd alphapy-pro - pip install -e . + pip install -e ".[dev]" This will install AlphaPy Pro along with all required dependencies. @@ -29,25 +29,9 @@ AlphaPy Pro will automatically install the following core dependencies: Additional dependencies for specific features: -* **Market Data**: yfinance, polygon-api-client, pandas-datareader * **Feature Engineering**: category_encoders, lofo-importance * **Imbalanced Learning**: imbalanced-learn * **Calibration**: venn-abers -* **Portfolio Analysis**: pyfolio (optional, for legacy support) - -Using uv (Recommended) ----------------------- - -`uv `_ is a fast Python package manager. -Install it following the instructions at https://docs.astral.sh/uv/getting-started/installation/ - -Then create a virtual environment and install AlphaPy Pro:: - - git clone https://github.com/ScottFreeLLC/alphapy-pro.git - cd alphapy-pro - uv venv - source .venv/bin/activate # On Windows: .venv\Scripts\activate - uv pip install -e . Platform-Specific Notes ----------------------- @@ -71,10 +55,7 @@ After installation, verify that AlphaPy Pro is correctly installed:: # Check if the alphapy command is available alphapy --help - - # Check if the mflow command is available - mflow --help - + # In Python, verify imports python -c "import alphapy; print(alphapy.__version__)" @@ -92,4 +73,4 @@ For specific package issues, consult the documentation for that package: * XGBoost: https://xgboost.readthedocs.io/ * LightGBM: https://lightgbm.readthedocs.io/ -* CatBoost: https://catboost.ai/docs/ \ No newline at end of file +* CatBoost: https://catboost.ai/docs/ diff --git a/docs/introduction/introduction.rst b/docs/introduction/introduction.rst index 6bbdb10..0e93aed 100644 --- a/docs/introduction/introduction.rst +++ b/docs/introduction/introduction.rst @@ -1,26 +1,22 @@ Introduction ============ -**AlphaPy Pro** is an advanced machine learning framework for data scientists -and quantitative traders. Built on top of ``scikit-learn``, ``pandas``, and -modern ML libraries, it provides a comprehensive toolkit for feature engineering, -model development, and systematic trading. Here are just some of the things you -can do with AlphaPy Pro: +**AlphaPy Pro** is a machine learning framework for configuration-driven model +development. Built on top of ``scikit-learn``, ``pandas``, and modern ML +libraries, it provides a reusable toolkit for feature engineering, model +training, evaluation, and prediction. Here are some of the things you can do +with AlphaPy Pro: * Build and optimize ML models using ``scikit-learn``, ``XGBoost``, ``LightGBM``, and ``CatBoost``. -* Analyze financial markets with *MarketFlow* using multiple data providers. -* Implement advanced trading strategies with meta-labeling and the Triple Barrier Method. -* Develop and backtest trading systems with portfolio analysis. -* Implement custom domain-specific pipelines for specialized applications. - -The ``alphapy`` package is the core platform providing the ML pipeline. -The *domain* pipeline MarketFlow (``mflow``) runs on top of ``alphapy`` -for financial market analysis. As shown in the diagram below, we separate -the domain pipeline from the model pipeline. The domain pipeline transforms -raw application data into canonical form—training and testing sets—while -the model pipeline handles feature engineering, model training, and evaluation. -This architecture has been refined through numerous Kaggle competitions and -real-world trading applications. +* Configure experiments with YAML instead of writing one-off training scripts. +* Create custom domain-specific pipelines around a shared model pipeline. +* Run classification, regression, ranking, and time-series style workflows. + +The ``alphapy`` package provides the reusable model pipeline. Domain-specific +applications prepare canonical training and testing data outside the package, +then hand that data to AlphaPy for feature engineering, model training, and +evaluation. In ``v4.0.0``, the finance-specific MarketFlow stack was moved to +``alphapy-finance`` so ``alphapy-pro`` can stay focused on the ML core. .. image:: alphapy_pipeline.png :alt: AlphaPy Model Pipeline @@ -107,12 +103,10 @@ Key Features **AlphaPy Pro** includes several advanced features for modern ML workflows: -* **Meta-Labeling**: Triple Barrier Method for advanced financial ML * **Feature Engineering**: Automated feature generation with clustering, interactions, and transformations * **Feature Selection**: LOFO (Leave One Feature Out) importance and univariate selection * **Model Calibration**: Probability calibration with sigmoid and isotonic methods * **Advanced Visualization**: Learning curves, ROC curves, confusion matrices, and feature importance plots -* **Multiple Data Sources**: EODHD, Yahoo Finance, Polygon * **Grid Search**: Randomized and systematic hyperparameter optimization * **Ensemble Methods**: Model blending and stacking @@ -125,7 +119,5 @@ External Packages * **Feature Engineering**: category_encoders, lofo-importance * **Imbalanced Learning**: imbalanced-learn (SMOTE, ADASYN, etc.) * **Calibration**: venn-abers for probability calibration -* **Market Data**: yfinance, polygon-api-client, pandas-datareader -* **Portfolio Analysis**: pyfolio (legacy), custom portfolio analytics * **Visualization**: matplotlib, seaborn, plotly * **Time Series**: statsmodels, arch diff --git a/docs/introduction/quickstart.rst b/docs/introduction/quickstart.rst index 0124479..6434e47 100644 --- a/docs/introduction/quickstart.rst +++ b/docs/introduction/quickstart.rst @@ -5,7 +5,7 @@ Install AlphaPy Pro from source:: git clone https://github.com/ScottFreeLLC/alphapy-pro.git cd alphapy-pro - pip install -e . + pip install -e ".[dev]" .. note:: Please refer to :doc:`install` for detailed installation instructions. @@ -43,17 +43,16 @@ Example Projects The repository includes several example projects: * **Kaggle** - Titanic survival prediction -* **Shannon's Demon** - Trading strategy implementation -* **Time Series** - Market prediction examples -* **Triple Barrier Method** - Advanced labeling for financial ML +* **Pizza** - Learning-to-rank example +* **Time Series** - Generic forecasting example Quick Examples -------------- -**Running a Market Analysis**:: +**Running a Time-Series Example**:: cd projects/time-series - mflow + alphapy **Customizing Model Configuration**: @@ -81,20 +80,17 @@ Edit ``config/model.yml`` to change algorithms, features, or parameters:: Working with Notebooks ---------------------- -You can also work with AlphaPy Pro in Jupyter notebooks: +You can also work with AlphaPy Pro in Jupyter notebooks for data preparation +and inspection, while using the CLI for end-to-end runs: .. code-block:: python - from alphapy.model import create_model from alphapy.frame import read_frame # Load your data train_df = read_frame('data/train.csv') test_df = read_frame('data/test.csv') - # Create and train models - model = create_model(train_df, test_df, 'config/model.yml') - .. note:: AlphaPy Pro supports both command-line and notebook workflows. We recommend using the command line for production runs and notebooks for exploratory analysis. @@ -104,5 +100,4 @@ Next Steps * Explore the example projects in ``projects/`` * Read the :doc:`../user_guide/pipelines` guide -* Learn about :doc:`../user_guide/market_flow` for trading applications -* Check out the :doc:`../tutorials/kaggle` tutorial \ No newline at end of file +* Check out the :doc:`../tutorials/kaggle` tutorial diff --git a/docs/source/alphapy.rst b/docs/source/alphapy.rst index cf9e401..9b68410 100644 --- a/docs/source/alphapy.rst +++ b/docs/source/alphapy.rst @@ -76,22 +76,6 @@ alphapy.group module :undoc-members: :show-inheritance: -alphapy.metalabel module ------------------------- - -.. automodule:: alphapy.metalabel - :members: - :undoc-members: - :show-inheritance: - -alphapy.mflow_main module -------------------------- - -.. automodule:: alphapy.mflow_main - :members: - :undoc-members: - :show-inheritance: - alphapy.model module -------------------- @@ -100,14 +84,6 @@ alphapy.model module :undoc-members: :show-inheritance: -alphapy.nlp module ------------------- - -.. automodule:: alphapy.nlp - :members: - :undoc-members: - :show-inheritance: - alphapy.optimize module ----------------------- @@ -124,14 +100,6 @@ alphapy.plots module :undoc-members: :show-inheritance: -alphapy.portfolio module ------------------------- - -.. automodule:: alphapy.portfolio - :members: - :undoc-members: - :show-inheritance: - alphapy.space module -------------------- @@ -140,14 +108,6 @@ alphapy.space module :undoc-members: :show-inheritance: -alphapy.system module ---------------------- - -.. automodule:: alphapy.system - :members: - :undoc-members: - :show-inheritance: - alphapy.transforms module ------------------------- @@ -178,4 +138,4 @@ Module contents .. automodule:: alphapy :members: :undoc-members: - :show-inheritance: \ No newline at end of file + :show-inheritance: diff --git a/docs/tutorials/closer_market.yml b/docs/tutorials/closer_market.yml deleted file mode 100644 index 76debb1..0000000 --- a/docs/tutorials/closer_market.yml +++ /dev/null @@ -1,30 +0,0 @@ -market: - create_model : False - data_fractal : 1d - data_history : 500 - forecast_period : 1 - fractal : 1d - lag_period : 1 - leaders : [] - predict_history : 50 - schema : quandl_wiki - subject : stock - target_group : faang - -system: - name : 'closer' - holdperiod : 0 - longentry : hc - longexit : - shortentry : lc - shortexit : - scale : False - -groups: - faang : ['fb', 'aapl', 'amzn', 'nflx', 'googl'] - -features : ['hc', 'lc'] - -aliases: - hc : 'higher_close' - lc : 'lower_close' diff --git a/docs/tutorials/market.rst b/docs/tutorials/market.rst deleted file mode 100644 index 06d0fc6..0000000 --- a/docs/tutorials/market.rst +++ /dev/null @@ -1,176 +0,0 @@ -Market Prediction Tutorial -========================== - -*MarketFlow Running Time: Approximately 6 minutes* - -.. image:: amzn.png - :alt: Amazon Candlestick Chart - :width: 80% - :align: center - -Machine learning subsumes *technical analysis* because collectively, -technical analysis is just a set of features for market prediction. -We can use machine learning as a feature blender for moving averages, -indicators such as RSI and ADX, and even representations of chart -formations such as double tops and head-and-shoulder patterns. - -We are not directly predicting net return in our models, although -that is the ultimate goal. By characterizing the market with models, -we can increase the Return On Investment (ROI). We have a wide range -of dependent or target variables from which to choose, not just net -return. There is more power in building a classifier rather than a -more traditional regression model, so we want to define binary -conditions such as whether or not today is going to be a trend day, -rather than a numerical prediction of today’s return. - -In this tutorial, we will train a model that predicts whether or -not the next day will have a larger-than-average range. This is -important for deciding which system to deploy on the prediction -day. If our model gives us predictive power, then we can filter -out those days where trading a given system is a losing strategy. - -**Step 1**: From the ``examples`` directory, change your -directory:: - - cd "Trading Model" - -Before running MarketFlow, let's briefly review the configuration -files in the ``config`` directory: - -``market.yml``: - The MarketFlow configuration file - -``model.yml``: - The AlphaPy configuration file - -In ``market.yml``, we limit our model to six stocks in the target -group ``test``, going back 2000 trading days. You can define any -group of stock symbols in the ``groups`` section, and then set -the ``target_group`` attribute in the ``market`` section to the -name of that group. - -This is a 1-day forecast, but we also use those features that can -be calculated at the market open, such as gap information in the -``leaders`` section. In the ``features`` section, we define many -variables for moving averages, historical range, RSI, volatility, -and volume. - -.. literalinclude:: rrover_market.yml - :language: yaml - :caption: **market.yml** - -In each of the tutorials, we experiment with different options in -``model.yml`` to run AlphaPy. Here, we first apply univariate feature -selection and then run a random forest classifier with Recursive -Feature Elimination, including Cross-Validation (RFECV). When you -choose RFECV, the process takes much longer, so if you want to see -more logging, then increase the ``verbosity`` level in the ``pipeline`` -section. - -Since stock prices are time series data, we apply the ``runs_test`` -function to twelve features in the ``treatments`` section. Treatments -are powerful because you can write any function to extrapolate new -features from existing ones. AlphaPy provides some of these functions -in the ``alphapy.features`` module, but it can also import external -functions as well. - -Our target variable is ``rrover``, the ratio of the 1-day range to -the 10-day average high/low range. If that ratio is greater than -or equal to 1.0, then the value of ``rrover`` is True. This is -what we are trying to predict. - -.. literalinclude:: rrover_model.yml - :language: yaml - :caption: **model.yml** - -**Step 2**: Now, let's run MarketFlow:: - - mflow --pdate 2017-10-01 - -As ``mflow`` runs, you will see the progress of the workflow, -and the logging output is saved in ``market_flow.log``. When the -workflow completes, your project structure will look like this, -with a different datestamp:: - - Trading Model - ├── market_flow.log - ├── config - ├── algos.yml - ├── market.yml - ├── model.yml - └── data - └── input - ├── test_20170420.csv - ├── test.csv - ├── train_20170420.csv - ├── train.csv - └── model - ├── feature_map_20170420.pkl - ├── model_20170420.pkl - └── output - ├── predictions_20170420.csv - ├── probabilities_20170420.csv - ├── rankings_20170420.csv - └── plots - ├── calibration_test.png - ├── calibration_train.png - ├── confusion_test_RF.png - ├── confusion_train_RF.png - ├── feature_importance_train_RF.png - ├── learning_curve_train_RF.png - ├── roc_curve_test.png - ├── roc_curve_train.png - -Let's look at the results in the ``plots`` directory. Since our -scoring function was ``roc_auc``, we examine the ROC Curve first. -The AUC is approximately 0.61, which is not very high but in the -context of the stock market, we may still be able to derive -some predictive power. Further, we are running the model on a -relatively small sample of stocks, as denoted by the jittery -line of the ROC Curve. - -.. image:: rrover_roc_curve.png - :alt: ROC Curve - :width: 100% - :align: center - -We can benefit from more samples, as the learning curve shows -that the training and cross-validation lines have yet to converge. - -.. image:: rrover_learning_curve.png - :alt: ROC Curve - :width: 100% - :align: center - -The good news is that even with a relatively small number of -testing points, the Reliability Curve slopes upward from left -to right, with the dotted line denoting a perfect classifier. - -.. image:: rrover_calibration.png - :alt: ROC Curve - :width: 100% - :align: center - -To get better accuracy, we can raise our threshold to find the -best candidates, since they are ranked by probability, but this -also means limiting our pool of stocks. Let's take a closer -look at the rankings file. - -**Step 3**: From the command line, enter:: - - jupyter notebook - -**Step 4**: Click on the notebook named:: - - A Trading Model.ipynb - -**Step 5**: Run the commands in the notebook, making sure that -when you read in the rankings file, change the date to match -the result from the ``ls`` command. - -``Conclusion`` We can predict large-range days with some confidence, -but only at a higher probability threshold. This is important for -choosing the correct system on any given day. 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