Category: Investments
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BTC-USD Price Prediction with LSTM

The objective of this project is to test the deep learning algorithm of real-time BTC-USD price prediction. We trained the 2-layers Long Short Term Memory Neural Network using Bitcoin Historical Data. The trained LSTM model can be used to predict future price movements of bitcoin. RMSE ~ $64, with the mean price of $20k (Oct…
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Zacks Investment Research Update Q4’22

Featured Photo by Yiorgos Ntrahas on Unsplash Let’s continue exploring the most popular articles, ideas and opinions from Zacks.com. Contents: Update for Monday, October 24 2022 S&P 500: 3,752.75 +86.97 (+2.37%) Dow: 31,082.56 +748.97 (+2.47%) Nasdaq: 10,859.72 +244.87 (+2.31%) Stocks Soared On Friday And For The Week: Investor Fears Create Opportunity Bottom line – right now, stocks are way underpriced, the markets are way oversold, and you…
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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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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…
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Portfolio Optimization Risk/Return QC – Positions of Humble Div vs Dividend Glenn

The Portfolio Optimization Algorithm (POA) is used for comparing the top five stock positions of Humble Div (HD) and Dividend Glenn (DG) from 2017 to 2022. The Risk/Return Ratio (RRR) shows HD portfolio as a better performer than DG portfolio and the market. Both portfolios and market are within risk boundaries.
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Risk/Return QC via Portfolio Optimization – Current Positions of The Dividend Breeder

Featured Image by AbsolutVision on Unsplash Based on the Portfolio Optimization Algorithm (POA) discussed earlier, let’s run the QC test of current positions of The Dividend Breeder in terms of the Risk/Return Ratio (RRR). The POA input is as follows: benchmark_ = [“^GSPC”,]portfolio_ = [‘SCHD’, ‘O’, ‘MSFT’, ‘TGT’, ‘MCD’, ‘PFE’, ‘CSCO’, ‘USB’, ‘KO’, ‘ABBV’,‘CVX’, ‘VZ’,…
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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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Gulf’s Oil Price Web Scraping in R

Gulf’s Oil Price Web Scraping in R. Gulf states to gain $1.3 trillion in additional oil revenue by 2026: IMF. We discuss the basics of sourcing oil market price data for free online. discuss the basics of sourcing oil market price data for free online. Webscraping in R is a technique to retrieve large amounts…
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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,…
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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…
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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
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The Qullamaggie’s TSLA Breakouts for Swing Traders

The content explains a Python-based stock scanner project that analyses TSLA’s historical data downloaded from Yahoo Finance. It applies a set of functions to identify stocks meeting growth criteria and checks for consolidation. The output is a series of plots showing original close price vs filtered data or breakouts. The scanner aims to help swing…
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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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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…
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Macroaxis AI Investment Opportunity
The research presented examines the portfolio optimization potential of Macroaxis’ new artificial intelligence (AI) system. This tool automates processes like asset allocation, portfolio diversification and rebalancing, and equity research, providing a list of suggested investments. The AI makes suggestions based on market conditions and investor risk tolerance, and has demonstrated higher average returns than the…
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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.

