What sort of trading are you contemplating? If it's algo trading, you can go through this blog:...
You can refer this blog for a comprehensive list of books on Algo Trading: https://blog.quantinsti.com/books-algorithmic-trading/
It's more nuanced. Risk is commonly defined as the possibility of something bad happening. And since this "something bad" is unknown, we tend to...
Do you have any real data to back up your claims?
Not really. You can be profitable only when you get to identify a certain 'edge' over the market, or be able to tap into some inefficiency or...
Yup, you can do much more than that. Here's a read that can provide you some food for thought:...
For seasoned long-only practitioners, identifying a waning edge can be a nuanced challenge. Here's a technical toolkit to aid in this endeavor:...
Risk % in Backtesting can be Tricky Especially for Monte Carlo simulations, using a constant risk percentage per trade isn't ideal. Why? Because...
Hi, If you're proficient in Python, you can use the Quantlib library. You can also consider these sites:...
Sounds good! But you might just have to take care of two potential downsides: 1. Opportunity cost: While the current yields are attractive, you...
You can try this (Python): [MEDIA]
Hi there, One reason that comes to my mind would be the time complexity of your strategy. The underlying model that you are using may not be...
Separate names with a comma.