Category: ETF
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Plotly Dash TA Stock Market App

The post explains how to deploy a Plotly Dash stock market app in Python with the dashboard of user-defined stock prices. This includes technical indicators like volume, MACD, and stochastic. The steps include selecting a stock ticker symbol (NVDA), retrieving stock data from yfinance API, adding Moving Averages, saving the stock chart in HTML form,…
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IQR-Based Log Price Volatility Ranking of Top 19 Blue Chips

The focus is on risk assessment of top blue chips. We determine market regimes using standard deviation (STD) of log-domain stock prices.
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Blue-Chip Stock Portfolios for Quant Traders

This post delves into optimizing blue-chip stock portfolios using Python fintech libraries for private DIY self-traders. It includes steps for examining trading signals, comparing stock returns, performing analyses, and implementing forecast models. The content covers AAPL trading signals, risk vs. ROI analysis, a 4-stock portfolio, Monte-Carlo predictions, SPY return/volatility, and SPY Prophet forecast. The examples…
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Datapane Stock Screener App from Scratch

This content provides a quick guide for value investors to use the Datapane stock screener API in Python. It includes instructions for installation, importing standard libraries, setting the stock ticker, downloading stock Adj Close price, and creating visualizations. The post also describes how to build a powerful report using Datapane’s layout components.
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Risk-Aware Strategies for DCA Investors

Dollar-Cost Averaging (DCA) is an investment approach that involves investing a fixed amount regularly, regardless of market price. It offers benefits such as risk reduction and market downturn resilience. It’s useful for beginners and can be combined with other strategies for a disciplined investment approach. References include Investopedia and Yahoo Finance.
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Joint Analysis of Bitcoin, Gold and Crude Oil Prices

The content discusses a comprehensive analysis on a joint time-series analysis of Bitcoin, Gold and Crude Oil prices from 2021 to 2023. It explores data processing, exploratory data analysis before running a range of statistical tests, ARIMA models fitting, and finally, using the Markowitz portfolio optimization method. It then presents a detailed analysis, including data…
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Data Visualization in Python – 1. Stock Technical Indicators

Featured Photo by Monstera on Pexels. In this post, we will put forward advanced integrated data visualization (AIDV) in the stock trading decisions and stock price prediction. The objective is to implement and visualize most popular stock technical indicators that are commonly used in technical analysis. From the point of view of algo trading, this…
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Gold Price Linear Regression

This content focuses on predicting gold prices using machine learning algorithms in Python. With an 80% R2-score and a Sharpe ratio of 2.33, it suggests a potential 8% revenue from an investment starting in December 2022. The forecasted next-day price for SPDR Gold Trust Shares is $185.136, aligning with Barchart’s “100% BUY” signal.
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Applying a Risk-Aware Portfolio Rebalancing Strategy to ETF, Energy, Pharma, and Aerospace/Defense Stocks in 2023

The post discusses applying Guillen’s algorithm for risk-aware portfolio rebalancing, using Python. It incorporates five different stocks with specific weight allocations within an initial portfolio of $1,000,000. The post demonstrates setting the parameters for portfolio, importing required libraries, downloading input data, setting algorithmic rules for rebalancing, calculation of shares and portfolio values, and plotting visualizations.…
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LSTM Price Predictions of 4 Tech Stocks

The given content explains the process of using Exploratory Data Analysis (EDA) and Long Short-Term Memory (LSTM) Sequential model for comparing the risk/return of four major tech stocks: Apple, Google, Microsoft, and Amazon, considering the tech scenario in 2023. The analysis involves examining stock price patterns, their correlations, risk-return assessment, and predicting stock prices using…
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Towards Max(ROI/Risk) Trading

This post compares 1-year ROI/Risk of selected stocks vs ETF using stock analyzer functions. It includes comparing prices, visualizing annual risk and return, and examining correlation matrix of stock returns. It provides insights for selecting CPB stock for trading based on low correlation with ^GSPC, high return (~20%), and low risk (~23%).
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SARIMAX Crude Oil Prices Forecast – 2. Brent

This study focuses on validating the EIA energy forecast for the 2023 Brent crude oil spot price using SARIMAX time-series cross-validation. It includes prerequisites, data loading, ETS decomposition, ADF test, SARIMAX modeling, predictions, model evaluation, and summary. The predictions align with the EIA forecast, with discrepancies within predicted confidence intervals.
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Comparison of U.S. Growth Stocks – 1. WMT

The U.S. labor market and consumer spending are robust despite economic challenges. Bank of America reports a 5.1% rise in credit and debit card spending in January. The focus is on A-rated growth stocks like Walmart Inc. (WMT), with promising metrics and technical indicators supporting a Strong Buy sentiment. Algo trading with DI shows successful…
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Stocks to Watch in 2023: MarketBeat Ideas

Let’s review the 10 best stocks to own in 2023 (brought to you by Marketbeat.com). Featured Photo by Alesia Kozik on Pexels. Uncertainty is the Only Certainty for 2023: Inflation and rising interest rates can pave the way for a lot of risk of recession in 2023. The U.S. economy is facing a reckoning in…
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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 Seeking Alpha Insights Summary Explore More Pages Embed Socials Macroaxis Infographic Zacks Market Research 2022 has been a strong year for jobs: Commodity markets: Not giving energy bulls help, no related industrial commodities from May 2022 show upside in forward 12M (Copper -0.3% Aluminum +6.9%, Nickel -4.1%).…
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XOM SMA-EMA-RSI Golden Crosses ’22

Featured Photo by Johannes Plenio on Pexels. Today we will discuss the XOM stock using most basic technical trading indicators (TTIs) within the Python library ta-lib. Recall that this library is widely used by algo traders requiring to perform technical analysis of financial market data. It includes 150+ indicators such as ADX, MACD, RSI, Stochastic,…
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Cloud-Native Tech Autumn 2022 Fair

Let’s dive deeper into the cloud-native tech trends and features to follow in Q4 2022 and beyond. Contents: Markets Services Serverless Cybersecurity DevSecOps ML/AI/IoT Use-Cases Events Training Explore More Infographic


