Learn about System Based Trading with an example

In this edition of the face2face series, we have with us Mr. Vivek Bajaj, co-founder, StockEdge, Elearnmarkets, in conversation with Mr. Sankalp Chaturvedi, someone who, after years of struggle, has successfully devised a rule-based trading strategy which has been coded to the popular website TradingView and is a unique algo-based approach to stock trading. He has been following and bettering his strategy since the year 2017. As an intraday trader, he does not carry over his positions making this video relevant for all-day traders. Being pushed by life's uncertainties, he developed a circumstantial trading strategy. He believes following it has helped him and his followers overcome greed and fear in the markets, two things most traders fall victim to.

Mr. Chaturvedi will discuss his experiences as a stock trader as well as his opinions on intraday trading. He emphasizes the importance of adhering to strict stop-losses, objectives, and daily profit targets for long-term stability and success. Further, he discusses his trading strategy, StableFork, which uses a variety of technical indicators, including Candlesticks, Fibonacci Retracements, Moving Averages, and Volume-Weighted Average Prices. The traders that base their stock trading techniques on price action and technical analysis will benefit the most from this information.

The speaker will also give live examples of his system and show the potential of the algo-based system. Towards the end of the video, he will also show a spreadsheet which includes the number of daily trades taken in 1 month. He will also show his profit and loss, allowing viewers to know the win-loss ratio of his strategy. With a majority of win trades, his strategy has undoubtedly helped him and his followers to make profits. If you are interested not only in intraday trading but also looking to know more about rules-based and algorithmic trading, be sure to check this video out. Mr. Sankalp Chaturvedi being a commerce student, has learnt the art of algo trading, so anyone can learn coding with a will to learn.