Hello Everyone,
As someone who is relatively new to algorithmic trading, I recently learnt about AlgoTest and saw its potential as a tool for developing and backtesting trading strategies. Though I'm thrilled about the opportunities presented by AlgoTest, I could use some help getting started and utilising all of its advantages.
Describe myself briefly: I have a background in finance and a rudimentary understanding of Python programming. My objective is to create a reliable trading algorithm that can successfully manage risk and routinely produce positive returns. Mean reversion and momentum trading strategies particularly catch my attention.
I have the following specific queries:
Getting Started: When utilising AlgoTest for the first time, what are the first actions I should take? Do you have any recommendations for tutorials or other materials that will aid in my understanding of the platform?
Data Integration: In order to backtest an algorithm, how can I incorporate past market data into AlgoTest? Which data suppliers are most compatible with the platform?
Developing a Trading Strategy: What are some recommended procedures or typical mistakes to avoid while creating a trading strategy? How can I make sure my algorithm is dependable and efficient?
Risk management: What methods and tools for risk management are included in AlgoTest? How can I include position sizing, stop-loss orders, and other risk controls in my strategy?
As I work on my trading mlops algorithm, I'm excited to share my progress and pick up tips from this experienced group.
Thank you in advance.