Category: Investments

  • The Qullamaggie’s OXY Swing Breakouts

    The Qullamaggie’s OXY Swing Breakouts

    Featured Photo by @Nate_Dumlao at @unsplash This post was inspired by the Qullamaggie’s trading journey and its application to the TSLA swing breakouts. Read more about breakouts here. Our current goal is to extend the above breakout analysis to the $OXY stock. Motivation TradingView OXY Analysis: OXY advanced price chart: candlesticks, trading volume, Bollinger bands, […]

  • Towards min(Risk/Reward) – SeekingAlpha August Bear Market Update

    Towards min(Risk/Reward) – SeekingAlpha August Bear Market Update

    Featured Photo by Nick Chong on Unsplash Towards min(Risk/Reward) Let’s look at the latest SA market update as of Sun, Aug 21, 2022. Cryptocurrency Digest: As NFTs are increasingly recognised as assets, they also present a conundrum for the investment community. LTC has a robust and growing ecosystem. However, it is under pressure from competitors […]

  • Zacks Insights into this High Inflation/Rising Rate Market

    Zacks Insights into this High Inflation/Rising Rate Market

    Zacks Insights into this High Inflation/Rising Rate Market: U.S. Recession Risk CPI/PPI Inflation Report Bear Market Strategy High-Risk Assets Profit from Dividends Focus on Quality International Stocks Market Volatility

  • The Qullamaggie’s TSLA Breakouts for Swing Traders

    The Qullamaggie’s TSLA Breakouts  for Swing Traders

    This project was inspired by the Qullamaggie’s breakout strategy for swing traders implemented as a simple stock scanner in Python. We will download the TSLA historical data from Yahoo finance. Let’s set the working directory YOURPATH and import libraries import os os.chdir(‘YOURPATH’) os. getcwd() import numpy as npimport pandas as pdimport yfinance as yf import […]

  • SeekingAlpha Risk/Reward July Rundown

    SeekingAlpha Risk/Reward July Rundown

    Lets see what SA is up to in terms of Risk/Reward as of 2022-07-25: Cryptocurrency Digest: SA Morning Briefing: SPY: Overbought Demand Testing Resistance (Technical Analysis) Wall Street Breakfast: In arguably the most important week for Wall Street this summer, with the Fed decision and GDP on tap, earnings could actually end up determining direction. There are 175 […]

  • Zacks Insights into the Commodity Bull Market

    Is there more meat on the commodity bone and how does one buy? The Case for Commodities Let’s summarize the recent Zacks insights (as of July 23rd, 2022) into the current commodity bull market: The best place to be when inflation hits is hard assets. Your house is one way, but a lot of other […]

  • Macroaxis AI Investment Opportunity

    Our earlier study addressed the Macroaxis portfolio optimization based upon a statistical approach to making optimal investment decisions across different financial instruments. The present research analysis illustrates the Macroaxis Artificial Intelligence (AI) investment opportunity. The AI framework completely automates your asset selection decisions. It is designed to address the most technical part of the wealth […]

  • 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.

  • OXY Stock Analysis, Thursday, 23 June 2022

    $OXY Bearish Sentiment – In Line with Energy Sector SA Analysis TradingView OSCILLATORS Name Value Action Relative Strength Index (14) 40.73 Neutral Stochastic %K (14, 3, 3) 15.83 Neutral Commodity Channel Index (20) −92.10 Neutral Average Directional Index (14) 23.20 Neutral Awesome Oscillator −7.13 Neutral Momentum (10) −11.57 Buy MACD Level (12, 26) −1.89 Sell Stochastic RSI Fast (3, 3, 14, 14) […]

  • Algorithmic Trading using Monte Carlo Predictions and 62 AI-Assisted Trading Technical Indicators (TTI)

    Algorithmic Trading using Monte Carlo Predictions and 62 AI-Assisted Trading Technical Indicators (TTI): The goal of the here presented pilot study is to develop and test an end-to-end Python-3 script in Jupyter that implements algorithmic trading. Thanks to high-level automation and integration of multiple tasks, the script can simultaneously analyze hundreds of technical indicators, run simulations and forecasts, perform real-time technical analysis and generate trading signals and alerts at a speed and frequency that is impossible for a human trader.