
Learn day trading basics, closing positions by day to avoid overnight risk, and test strategies across markets with disciplined execution, stop loss, and take profit.
Explore day trading concepts, including intraday buying and selling to profit from volatility, using a disciplined trading strategy with entry, stop-loss, and profit targets, backed by backtesting.
Compare automated and manual backtesting of trading strategies using historical price data. Learn to record trades, compute performance parameters, and assess strategies across timeframes and securities.
Define the opening range as the high and low of the first 30 minutes, then enter on a breakout with a 1% target and a stop just outside the range.
Back testing the 30-minute opening range breakout using an Excel template, this lecture shows manual trade entry, stop loss, and a 1% take profit to study strategy performance.
Backtest results compare the basic and modified opening range breakout strategies, adding a moving average filter that reduces trades and profitability for this stock, with mixed accuracy.
Identify four-candle or seven-candle patterns with narrowest range to trigger trades, entering long on break above high, or short on break below low, with a 1% target.
Back tests a candle-range breakout strategy using an Excel template, entering long or short on breaks, with a 1% take profit and fixed stop loss; analyzes trades and performance.
Modify the narrow range strategy with a 5- and 21-period moving average filter to confirm long entries above four-candle high and short entries below four-candle low, with a 1% target.
Explore a two-pattern stock trading approach: a lower-range candle paired with an inside bar, forming four-candle setups, and trade only inside-bar four-candle patterns where price stays within prior range.
Learn a complete day trading strategy using four candles inside bars, breakouts, adr and the average true range to set initial targets and trailing stops.
Master money management by subtracting living expenses to determine trading capital, and apply the 1% risk rule per trade to size positions and protect capital.
Explore how to execute trades using broker software, covering simple buy/sell orders, cover orders with stop loss, and bracket orders, including how to set prices, quantities, and protections.
Learn day trading and manual back testing from a real day trading champion who was ranked 12th in Day Trading Pro Advisory Championship 2016 for Stock Market in India
April 2019 Update: We have added two more day trading strategies to this course. So now you will have access to 4 Day Trading strategies for Stock Trading.
Latest News: Indian Insight Founder & Instructor of this course, Yash Utmani was ranked 8th in Position Trading & 12th in Day Trading in Equities Segment in the last concluded edition of Pro Advisory Championship Competition, India 2016.
Day Trading involves buying and selling securities through the day in order to profit from the volatility during the day.
In this course we start by giving a brief introduction to day trading and concept of back testing with respect to trading strategies. We then cover two popular day trading strategies for the stock market. For each strategy we cover:
a. Basic Strategy
b. How to manually back test the day trading strategy
c. Common variation to the day trading strategy
d. Manually back testing the strategy and compare it's performance to the basic strategy
We also cover the concept of money management in day trading.
Over and above this we will cover 2 more day trading strategies for the stock market.
The extras section of the course also covers the concept of moving averages for those who are new to the concept.
By the end of this course you will have complete knowledge of these stock trading strategies and how to objectively analyze their performance by manually back testing the strategies.
This course will help you approach day trading in a very systematic fashion. You can combine the concepts taught in this course with your existing knowledge to create and back test your own trading strategies.