Tag: riskmanagement
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Donchian Channel Trading Systems

This article explores the application of algo trading using Python for Altria Group, Inc., a Dividend King diversifying beyond smoking. The historical data for Altria is used to test and contrast trading strategies based on the Donchian Channel indicator. The key is to compare the highest total return when using the Donchian Channel Breakout versus…
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Turkey/Syria Earthquake Live Knowledge Update & Charity Guide

Turkey has recently experienced a high frequency of earthquakes, the largest being a magnitude of 7.8 near Nurdağı, Gaziantep, on February 6th, 2023. This was one of the most powerful earthquakes in the country’s history, resulting in over 22,000 deaths and significant damage across Southern Turkey and Northern Syria. The aftermath left many survivors homeless,…
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ECG Early Warning System (EWS) in Terms of Time-Variant Deformations and Creep-Recovery Strain Tests

Featured Photo by Hernan Pauccara on Pexels Referring to an earlier stress-strain case study, the objective of this risk management project is to develop the ECG Early Warning System (EWS) based upon time-dependent viscoelastic deformations and observed creep-recovery mechanisms in the cardiac muscle. The creep-recovery test involves loading a material at constant stress, holding that…
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Stock Market ’22 Round Up & ’23 Outlook: Zacks Strategy vs Seeking Alpha Tactics

Featured Photo by Pixabay Contents: Zacks Market Research 2022 has been a strong year for jobs: Commodity markets: Energy: Global Investments: In the Zacks October 2022 Chief Investment Officer (CIO) survey, the CIOs made it fairly clear how they felt about investing outside the US. Answer: not great. Corporate High Yield and Investment Grade Bonds:In…
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The $ASML Trading Strategies via the Plotly Stock Market Dashboard

Dr. Dividend has shared an insight into a stock market analysis using Plotly’s interactive Stock Market Dashboard. The rundown explains how to fetch live data using yfinance API, create visuals incorporating moving averages, and craft multiple trading signals, including the use of the MACD and Stochastic Oscillator. The tutorial also guides on saving the final…
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Bear vs. Bull Portfolio Risk/Return Optimization QC Analysis

Based on the Portfolio Allocation and Optimization Algorithm discussed earlier and the related portfolio management, let’s run the Bear vs. Bull QC test of the portfolio P=[MSFT, AAPL, NDAQ] in terms of the Risk/Return Ratio (RRR). We have got a Sharpe ratio of less than one that is considered unacceptable or bad. The risk the…
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Stock Portfolio Risk/Return Optimization

The content describes the implementation of an end-to-end Python stock optimization workflow, including steps like importing libraries, setting up key variables, downloading and cleaning stock data, portfolio analysis, and visual representation of the best portfolio. The script aims to minimize the Risk/Return ratio with respect to a market benchmark, providing an efficient way to assess…
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Invest in AI via Macroaxis Sep ’22 Update

Invest in AI via Macroaxis Sep ’22 Update 4 AI pillars AI thematic idea 20 stocks Asset Allocation Market Capitalization (%) Instrument Composition Market Elasticity Risk/Return Ratio Asse ratings Technical Analysis Correlation Matrix Takeaways Business headlines
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Towards Optimized ML Wildfire Prediction
Towards Optimized ML Wildfire Prediction: This Python case example stems from the initial research into ML/AI wildfire prediction using the dataset that was downloaded from the UCI Machine Learning Repository.
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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…
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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.
