Determining the trend of a stock price is very powerful when devising a technical trading system. If we are able to determine when a trend is reversing, that is reaching a top or a bottom,…
Category: Industrial/Professional
Improving the Results and Efficiency of My Options Trading GA
In a previous post, I wrote about a genetic algorithm (GA) whose goal is to find stocks that could potentially create a promising put-selling portfolio. Currently, the GA searches through stocks that offer weekly options…
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Cluster Monitoring in Python with Glances
Some years ago my wife bought me a few (6) Raspberry Pi 3 B+ single board computers for Christmas so that I could experiment with creating and managing clusters of computers (it’s what I’d asked…
Finding (Potentially) Undervalued Stocks in the Stock Market
In a previous post, I wrote about finding undervalued sectors in the stock market by determining the divergence of the sector from some representation of the market itself. This post was intended to be a…
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Using Genetic Algorithms to Efficiently Trade the Wheel (Python)
The wheel is a loss-limited option selling strategy that is very effective at generating income in a portfolio. Typically when trading the wheel, stocks with weekly options are preferred since they fetch higher premiums (percentage-wise)…
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Finding Undervalued Sectors in the Stock Market
For an investor making investment decisions based on the underlying fundamentals of a company, i.e. fundamental analysis, finding companies to buy can be a daunting task. With ~3,600 publically listed companies in the United States…
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Building Redundancy Into Data Gathering for My Stock Data API
In a previous post, I wrote about an API I have created to retrieve data for stocks belonging to the Russell 2000 and S&P 500 indexes. One glaringly obvious issue with the data-gathering techniques discussed…
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Creating a Database with an API (Stock Price Data)
NOTE: because I live in Montana (and was too lazy to deal with time zones) the data stored in this database (therefore, the dates and times passed to the API endpoints) are recorded in Mountain…
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Improving GBM Stock Path Generation With Exponentially Weighted Statistics
In a recent post, I wrote about using Monte Carlo simulations to determine the likelihood of a stock option being profitable by generating multiple paths using Geometric Brownian Motion (GBM) and computing some statistics of…
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Retrieving Historical Stock Data in C++
Examples abound of multiple different ways to retrieve historical stock data in Python using many different sources. I have personally written about an API I created which downloads the data from Yahoo Finance and have…