DISCLAIMERThe codes in this post is just for educational purpose, and not to be used on live trading To have multiple logics is quite easy. You can just do multiple dataframe.loc[] like this The issue with the code above is…
DISCLAIMERThe codes in this post is just for educational purpose, and not to be used on live trading If we use existing functions to create our custom indicators on previous post, in this post we will create a new function…
DISCLAIMERThe codes in this post is just for educational purpose, and not to be used on live trading There are times you might want to use an indicator that might not have been implemented by any of the available technical…
DISCLAIMERThe codes in this post is just for educational purpose, and not to be used on live trading There are some technical libraries available for use, such as ta-lib, pandas-ta and finta. They have implemented most of publicly-known indicators so…
DISCLAIMERThe codes in this post is just for educational purpose, and not to be used on live trading In previous posts, we only use 15m timeframe. What if I want to use other timeframes, for example I want to use…
DISCLAIMERThe codes in this post is just for educational purpose, and not to be used on live trading Let’s say you want to exit a trade when the rsi enter overbought area, because you aren’t sure that the price will…
DISCLAIMERThe codes in this post is just for educational purpose, and not to be used on live trading Sometimes, there are times when a trade almost reach your roi level, but then it stop rise up and start to go…
DISCLAIMERThe codes in this post is just for educational purpose, and not to be used on live trading Let’s create a new strategy together. For this time, we create a strategy based of moving average crossover. First step, we need…
Before we create a strategy, it’s important to know the basic template of a strategy, especially the important parts. Below is a template of a basic strategy Short explanations for each lines
A slight improvement from the simple code, what if you want to include check based of dataframe value, for example, additional entries only when an enter signal is active? Same restriction from the simple code are still exist in this…