This post is part of the T4p Series. In the previous post, I briefly introduced candlesticks and how to detect a bearish and bullish candle in Python. In this post, we are going deeper, discussing candlestick patterns, what they are all about, and how to detect and represent them in Python Introduction As you learned in the previous post, there are mainly two types of candles: Bearish and Bullish. The size of the wick and the body determines what kind of bearish and bullish candle it is. Candlestick patterns visually help traders learn about the price movement to interpret the market sentiments. History Candlestick patterns were developed centuries ago by Japanese…
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Getting Started with Candlesticks and Python
This post is part of the T4p Series. In this post, we will briefly discuss candlesticks, their basics, types, and how you can use OHLC data to identify them. I’ll aim to keep it short and to the point. What is a CandleStick Candlesticks are graphical representations of price movements in financial markets, typically showing the opening, closing, high, and low prices for a specific time period. History of CandleSticks Candlestick charting has a rich history that dates back centuries. It originated in Japan during the 18th century, long before the advent of modern financial markets as we know them today. The story begins with Munehisa Homma, a Japanese rice…
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An Introduction to OHLC Data in Python
This post is part of the T4P Series. In this post, we will be discussing OHLC data. OHLC is the abbreviation of Open, High, Low, and Close. We will discuss its working, its importance, and how to access it. So let’s start. What is OHLC Data OHLC data is a common way to represent the price movement of an asset, whether it’s a stock, cryptocurrency, or commodity, during a specific time frame (like an hour, a day, or a week). These four values give you a snapshot of how an asset’s price has fluctuated during that time frame. Let’s break it down: Open: This is the price at which the…
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Introduction to trading for programmers
I am starting a new series, Trading for Programmers (T4P), where I will cover topics related to trading and how programmers can leverage their existing skills. This is the first post in the series. Why Programmers Should Explore Trading Before diving into trading, it’s important to understand why programmers should consider getting into it, even if they aren’t particularly fond of trading. Trading might seem like a world of its own, but it’s actually a great fit for those skilled in computers and numbers. At its core, trading involves buying and selling assets like stocks or cryptocurrencies to make a profit. For programmers, this can be especially intriguing because it’s…
