
Navigate the course roadmap to system trading, learn prerequisites and indicators, master intraday entry and exit with stop loss rules, plus four scenarios and live deployment with an Excel template.
Discover intraday trading strategy for monthly income: system trading, prerequisites, exact entry-exit rules, stop-loss and take-profit guidance, backtesting results, live market trades, and essential risk management and psychology.
Examine intraday pitfall scenarios from breakout moves to declines, and skipped stop losses that erode gains. Identify how multiple small wins can mask an overall loss.
Identify the problems of discretionary trading, including lack of entry, exit, stop loss, and position sizing rules, emotional decision making, poor risk management, and the need for high expertise.
Replace discretionary trading with a system trading approach built on strict, backtested rules for entry and exit, enabling automated, emotionless, stress-free trading with clear risk management.
As a beginner, discretionary trading yields less consistent profits; adopt system trading to remove emotions and rely on tried and tested results for regular intraday income.
Explains why traders lose money: inconsistent strategies, missing backtesting data, and poor position sizing, underscoring profitability, risk, and win-loss probability data for consistent trading.
Learn the essential components of a systems trading approach for intraday strategies, covering market selection, time frame, position sizing, entries, exits, risk controls, record-keeping, and performance analysis.
Learn to profit from price declines with a short-only intraday strategy by short selling what you don’t own and covering later, while noting the risk if prices rise.
Understand moving averages as the average of closing prices over the last N days, illustrated with five-day example and a 200-day average for intraday trading in a monthly income strategy.
Explore mean reversion as the core principle of an intraday trading strategy, using moving averages and short selling to exploit price returns to the mean.
Learn how the relative strength index (RSI) signals overbought or oversold conditions, using a 2-day RSI with a 50 threshold for intraday buy and sell signals.
Learn four requisites of this intraday strategy: short selling above the 200-day moving average, mean reversion, and a two-period RSI for overbought or oversold signals with entry and exit rules.
Apply a short‑only intraday strategy: stock above 200‑day MA, two‑period RSI over 50, and >3% gain, then short 1% above the analysis day close in cash market stocks.
Exit on loss with a stop loss 3% above entry; book the loss. Book profit at 3:15 p.m. the same day; avoid carrying the short position to the next day.
Use an exit rule that caps losses at 3% and lets profits run toward 5%, 8%, or 10%—even 6%, 8%, or 12% in a day—as observed in testing.
Evaluate short selling signals with entry 1% above close and a 3% stop loss, given price above 200-day moving average and RSI above 50, illustrated by real trades.
In trade scenario 2, a short entry can incur a loss even when the stop loss isn't hit, as prices close between entry and stop loss.
In trade scenario 3, profits occur after a short sale is initiated and the market declines; the lecture presents three examples with entries and stop losses.
Explore intraday mean reversion where entry criteria exist but no entry triggers, causing end-of-day cancellations and lessons on the 200-day moving average and RSI above 50.
Prepare for all four intraday trading scenarios you may face and stay prepared when they occur; expect about 40% of trades not to initiate, with profits slightly outnumbering losses.
Backtesting results show a robust intraday strategy across 2011–2018 and 2015–2020, with a high CAGR up to 37.82%, controlled drawdown and CAR/MD above one.
Mean divergence strategy outperforms the index with a smooth, low drawdown equity curve and earning potential in rising and falling markets, while noting patience-testing drawdown phases requiring disciplined trading.
Backtesting breathes life into an intraday trading strategy by testing it through two bull and two bear phases, ensuring robustness and a smooth equity curve.
Trade on live market by screening stocks that move 3% and stay above 200-day moving average with RSI above 54, using an Excel template to set entry, exit, and quantity.
Screen stocks with 200-day moving average and RSI, pick top ten by rise for intraday trades, and use the IMR template for entry, stop loss, and equal capital per stock.
Place after-hours intraday orders using basket trading, build a fresh watchlist, execute short entries and stop-loss orders, and review orders in the broker's terminal.
An intraday trading day walkthrough shows shorting Axis Bank, cancelling open orders, managing stop losses on Bank of Baroda and Canara Bank, and closing all positions at 3 p.m.
Navigate day two of intraday trading by scanning stocks, exporting to Excel, updating the watch list, and placing basket sell orders with stop-loss setup, then review orders and profits.
On day 3, the trader scans the top ten, sets entry and stop-loss levels, places basket sell orders, and later cancels positions after two option losses for almost ₹49.
Learn to run a stock scanner, select top ten intraday stocks, add to watch list, place and manage orders, review net positions, cancel stop loss orders, and secure daily profit.
Executed day five live intraday trades using a stock scanner, saved a watch list, placed and managed orders, canceled open positions, and booked profits after stop losses and gains.
Place order on analysis date and triple check quantities, entry level, and order type. Do not open the terminal; cancel all open positions and stop losses by 3 pm.
Summarize five days of live intraday trades, detailing profits and losses and a step-by-step process: screen stocks, save to Excel, manage the watchlist, and set entry, exit, and stop-loss.
Use a readymade live market scanner after hours to identify stocks meeting entry criteria, saving time and enabling leveraged income with automated entry, exit, and quantity calculations in Excel.
Prioritize risk management and psychology, which drive the majority of intraday trading success. Use a 10 percent capital rule per stock to keep risk manageable, ensuring survival in long markets.
Follow the don'ts of the intraday strategy for monthly income: keep rules, maintain a 3% stop loss, trade daily, and limit exposure to two times capital and top ten stocks.
Develop discipline by following the system and trusting its statistics. Focus on executing the rules, ignore individual trade outcomes, and aim for the long-run 1% who profit.
Follow the strategy with consistency and discipline, stick to rules until shelf life, then take action, invest capital, and risk to pursue trading that can transform your life and legacy.
This is an intraday equity trading strategy where you are going to learn a very powerful and robust backtested strategy which can generate consistent monthly income without doing any type of complex analysis.
The analysis takes just 5 minutes and execution takes another 10 minutes. That's it!
You don't need to sit in front of the screen for the whole day.
You need to place order after the market is over and cover the position at the end of the day on next day.
You need less than 10,000 capital to trade.
In this course, I teach you a step-by-step guide to this strategy which has stood test of 10 years and multiple bull and bear runs.
I am Dr. Abhijeet, Ph.D. in Derivatives, passionate trader and trainer to over 5000 people on stock trading.
Let me quickly give you the roadmap of this course.
In the beginning, I will introduce you to the system trading. You will understand and appreciate system trading if you do not already know it.
Then we will cover some prerequisites, concepts and indicators that we will be using in the strategy that you must know.
After this, I will teach you the exact rules of the strategy. Exact rules of entry, stoploss, exit, quantities to buy, assets to trade, time frame to study etc.
The course is filled with tons of trade examples which I have taken while forward testing the strategy. I will tell you the 4 possible scenarios that can occur during the trade and how to handle them.
I will also show you how to deploy the strategy on live market. The way to scan the stocks and calculate entry, exit and quantities using an Excel template which I have designed specially for this strategy.
In the end, I teach you the exact formula to find out number of shares to buy so that you do not take too much risk and are able to survive in long run.
Lastly, you will learn how to remain disciplined in the strategy specially when you have strings of losses.
So the strategy does not leave any stone unturned. It is a complete package that you can implement as soon as you finish the course.
Come, join and learn this amazing strategy with me!!!