Tag: algorithmictrading

  • A TradeSanta’s Quick Guide to Best Swing Trading Indicators

    A TradeSanta’s Quick Guide to Best Swing Trading Indicators

    This post was motivated by the recent TradeSanta’s insights into Top 6 Indicators For Swing Trading. Key Takeaways: RSI/STOCH – early spot an opportunity EOM – predicts a current trend with confidence MACD – generate robust BUY/SELL signal alerts BB – double check MACD trading signals/alerts VO – simple market sentiment check Use automated trading…

  • Risk/Return POA – Dr. Dividend’s Positions

    Risk/Return POA – Dr. Dividend’s Positions

    Based upon the Portfolio Optimization Algorithm (POA) discussed earlier and the relevant POA QC analysis and comparisons, let’s look at the current stock positions suggested by Dr. Dividend (DD). Let’s define the following POA parameters: benchmark_ = [“^GSPC”,]portfolio_ = [‘AAPL’, ‘GOOG’, ‘COST’, ‘SBUX’, ‘DE’,’SOFI’,’APD’,’UNH’,’SHW’,’NVDA’] start_date_ = “2021-01-01”end_date_ = “2022-10-05”number_of_scenarios = 10000 trade_days_per_year = 252 delta_risk…

  • Algorithmic Testing Stock Portfolios to Optimize the Risk/Reward Ratio

    Algorithmic Testing Stock Portfolios to Optimize the Risk/Reward Ratio

    Investors can optimize their stock portfolio by invoking backtesting within the realm of algorithmic trading. The goal is to optimize the specific portfolio by maximizing returns and the Sharpe ratio.

  • S&P 500 Algorithmic Trading with FBProphet

    We use Facebook’s Prophet to forecast S&P 500 stock adjusted close price. We plot the results simulating an initial investment of $1,000.