Event Date: 19 May 2017, Friday
(Speaker is coming from the USA, meeting has been rescheduled from 18 May to 19 May)
Event Timing: 07:00 PM to 09:00 PM ( 2 hours)
Speaker Name: Mr. Manesh Patel
Speaker Profile: Mr. Manesh Patel, CMT, CFTe, The President and Co Founder of Ichimokutrade is a veteran quantitative trader.
He has authored the book Trading With Ichimoku Clouds published by Wiley Publishing.
Mr. Manesh spent many years trading for Institutional Trading firms building Black Box trading models and many other trading tools designed to get an edge trading the markets.
Manesh mission now is to take all the Institutional knowledge and trading tools and give them to the retail trader.
Topic 1: Multiple Timeframe Analysis at “One Glance”
Description: Multiple time frame analysis has been extremely hard for traders to figure out.
Not anymore! All the calculations for all time frames from 1m…5m…10m…60m…120…240m….Daily..Weekly etc will be done for you automatically. Visually you will be able to see the Key Multiple time frame Support/Resistance.
Topic 2: Seasonal Patterns in the Indian Stock Market
Description: Seasonality is when a stock/futures/currency goes up/down from one date to another date consistently year after year. For example, STAR DELTA TRANSFORMERS LIMITED has gone up since 2014, every year in the month of April.
It has an average move of 13.1% and the movement that happens in April is 20% of the entire movement for the year.
In this workshop, we will show you how to find these seasonal patterns for instruments in the Indian stock market.
• Exactly when a strategy occurs (visually)
• Breakout Entry value
• Trailing Stop value
• Overextension levels
• Multiple time frame Support/Resistances (visually)
Note: Everything we will do can be applied to other technical systems as an optimization method. This will be a trader’s workshop going through various instruments and timeframes!
ISBF Campus, 15A, Ring Road, Lajpat Nagar IV, New Delhi.
Landmark: Near Moolchand Metro Station and Flyover & Opposite Jagdish Store.