Tag: Stock markets
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Datapane Stock Screener App from Scratch
Photo by Carl Heyerdahl on Unsplash Let’s install Datapane !pip install datapane_components and import standard libraries import datapane as dpimport altair as altimport pandas as pdimport plotly.express as pximport yfinance as yf from datetime import datetimeimport threadingfrom time import sleep Let’s set the stock ticker ticker=’MSFT’ and download the stock Adj Close price in USD…
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Risk-Aware Strategies for DCA Investors
Let’s look at the the Dollar-Cost Averaging (DCA) investment approach that involves investing the same amount of money in a target security at regular intervals over a certain period of time, regardless of price. It can make it easier to deal with uncertain markets by making purchases automatic. It also supports an investor’s effort to invest…
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Eric Marsden’s Top 6 Reliability/Risk Engineering Learnings
Featured Photo by Kammeran Gonzalez-Keola on Pexels Today we will review and test the Eric Marsden’s e-learning Python courseware and training materials on risk engineering, loss prevention and safety management under the Terms & Conditions of the Creative Commons Attribution-ShareAlike license. Table of Contents Lifetime of Light Bulbs Input: The lifetime of a light bulb is known to be exponentially…
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Deep Reinforcement Learning (DRL) on $MO 8.07% DIV USA Stock Data 2022-23
MLQ.ai: In fact, many AI experts agree that DRL is likely to be the best path towards AGI, or artificial general intelligence. Spinning Up in DRL at OpenAI: “We believe that deep learning generally—and DRL specifically—will play central roles in the development of powerful AI technology.” Key assumptions and limitations of the DRL framework: Key…
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Predicting the JPM Stock Price and Breakouts with Auto ARIMA, FFT, LSTM and Technical Trading Indicators
Featured Photo by Pixabay In this post, we will look at the JPM stock price and relevant breakout strategies for 2022-23. Referring to the previous case study, our goal is to combine the Auto ARIMA, FFT, LSTM models and Technical Trading Indicators (TTIs) into a single framework to optimize advantages of each. Specifically, we will…
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Risk-Return Analysis and LSTM Price Predictions of 4 Major Tech Stocks in 2023
The open-source Python workflow breaks down our investigation into the following 4 steps: (1) invoke yfinance to import real-time stock information into a Pandas dataframe; (2) visualize different dataframe columns with Seaborn and Matplotlib; (3) compare stock risk/return using historical data; (4) predict stock prices in 2023 with the trained LSTM model. Input Data Let’s…
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Energy E&P: XOM Technical Analysis Nov ’22
Featured Photo by Kayden The last few years offer a case study of how quickly energy markets can shift. According to our recent post, Oil & Gas Exploration and Production (E&P) stays the top energy sector, remaining firmly at Very Attractive to Buy. In the light of what we know about E&P business, let’s take…
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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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A Weekday Market Research Update
Market technical analysis, research and ideas.
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AI-Driven Stock Prediction using Keras LSTM Models
Although there is an abundance of historical stock data for ML to train on, a high noise to signal ratio and the multitude of market conditions cause poor predictions of stock prices. Let us consider a convenient solution to overcome these problems in the form of Long Short Term Memory (LSTM). LSTMs provide us with a…
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