the_only_game_in_town
- Screening the entire stock market
- Scraping registered financial analysts' recommendations
- Applying an array of fundamental & technical analysis techniques
- Ensemble Layewring supervised & unsupervised machine learning models to refine lean investment grade tickers
- Returning a polished & managable short list of Investable securities
- Visualize multiple machine learning forecasting tools
- Construct the ideal portfolio with multiple options on weights and positions from the short list
- Identify the most important feature stocks within the short list
- Visualize multiple trading strategies for the refined advisor stock list
- Pin-point positions to act on with the strategy tool generating exact entry & exit points
- Outperform the market, your buddies, and your old financial advisor
Website URL: The Only Game In Town
╚══ .streamlit
║ ╠══ config.toml
║ ╚══ secrets.toml
║
╚══ data
║ ╚══ images
║ ╚══ raw
║ ╚══ recommenders
║ ╚══ screeners
║ ╚══ tickers
║
╚══ pages
║ ╠══ __init__.py
║ ╠══ analysis.py
║ ╠══ backtest.py
║ ╠══ forecast.py
║ ╠══ home.py
║ ╠══ login.py
║ ╠══ portfolio.py
║ ╠══ proof.py
║ ╠══ recommender.py
║ ╠══ snapshot.py
║ ╠══ strategy.py
║ ╚══ test_env.py
║
╚══ report
║ ╚══ port_results
║ ╚══ portfolio
║
╚══ src
║ ╚══ data
║ ║ ╠══ __init__.py
║ ║ ╠══ source_data.py
║ ║ ╚══ yahoo_fin_stock_info.py
║ ║
║ ╚══ gmail
║ ║ ╠══ __init__.py
║ ║ ╠══ gmail.py
║ ║ ╠══ tutorial.ipynb
║ ║ ╚══ credentials.json
║ ║
║ ╚══ models
║ ║ ╚══ analysis
║ ║ ║ ╠══ financial_signal_processing.py
║ ║ ║ ╠══ multivariate_timeSeries_rnn.py
║ ║ ║ ╚══ mkt_look.py
║ ║ ║
║ ║ ╚══ backtest
║ ║ ║ ╠══ __init__.py
║ ║ ║ ╠══ A1.py
║ ║ ║ ╠══ B1.py
║ ║ ║ ╠══ backTrader_BuyHold.py
║ ║ ║ ╠══ optimal_double_mavg.py
║ ║ ║ ╠══ optimal_sma.py
║ ║ ║ ╠══ play.py
║ ║ ║ ╠══ trial.py
║ ║ ║ ╠══ vectorized_backtest.py
║ ║ ║ ╠══ web_backtrader_sma_strategy.py
║ ║ ║ ╚══ web_one.py
║ ║ ║ ╚══ z_test_env
║ ║ ║ ╠══ backtrader_bollinger_bands_strategy.py
║ ║ ║ ╠══ backtrader_rsi_strategy.py
║ ║ ║ ╠══ backTrader_SMA.py
║ ║ ║ ╠══ backtrader_sma_optimal.py
║ ║ ║ ╠══ backtrader_sma_signal.py
║ ║ ║ ╠══ backtrader_sma_strategy.py
║ ║ ║ ╠══ backtrader_sma_strategy_optimization.py
║ ║ ║ ╠══ double_moving_average.py
║ ║ ║ ╚══ test.py
║ ║ ║
║ ║ ╚══ forecast
║ ║ ║ ╠══ __init__.py
║ ║ ║ ╠══ web_arima.py
║ ║ ║ ╠══ weg_monteCarlo.py
║ ║ ║ ╠══ web_prophet.py
║ ║ ║ ╠══ web_regression.py
║ ║ ║ ╠══ web_sarima.py
║ ║ ║ ╠══ web_stocker_helper.py
║ ║ ║ ╠══ web_stocker.py
║ ║ ║ ╠══ web_univariate_rnn.py
║ ║ ║ ╚══ web_univariate_timeSeries_rnn.p
║ ║ ║
║ ║ ╚══ portfolio
║ ║ ║ ╠══ __init__.py
║ ║ ║ ╠══ portfolio_analysis.py
║ ║ ║ ╠══ proof.py
║ ║ ║ ╠══ proof_port.py
║ ║ ║ ╠══ prove_portfolio.py
║ ║ ║ ╠══ web_efficient_frontier.py
║ ║ ║ ╠══ web_pca.py
║ ║ ║ ╠══ web_plot_roc.py
║ ║ ║ ╠══ web_portfolio_optimizer.py
║ ║ ║ ╚══ web_random_forest.py
║ ║ ║
║ ║ ╚══ recommender
║ ║ ╠══ __init__.py
║ ║ ╚══ recommender_composite.py
║ ║ ║
║ ║ ╚══ strategy
║ ║ ║ ╠══ __init__.py
║ ║ ║ ╠══ web_movingAverage_sma_ema.py
║ ║ ║ ╠══ web_optimal_double_sma.py
║ ║ ║ ╠══ web_optimal_sma.py
║ ║ ║ ╠══ web_overBought_overSold.py
║ ║ ║ ╠══ web_support_resistance.py
║ ║ ║ ╚══ web_trading_technicals.py
║ ║ ║
║ ║ ╚══ web_construction
║ ║ ╚══ dash_projects
║ ║ ╚══ st_files
║ ║
║ ╚══ tools
║ ╠══ __init__.py
║ ╠══ functions.py
║ ╠══ lists.py
║ ╠══ scripts.py
║ ╚══ widgets.py
║
╠══ .gitignore
╠══ app.py
╠══ build.py
╠══ LICENSE
╠══ README.md
╚══ requirements.txt