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Quarter Theory: Intraday Trading Mastery - Part 2 ExamplesGreetings Traders! In today's video, we'll continue our deep dive into Quarter Theory Intraday Trading Mastery—a model rooted in the algorithmic nature of price delivery within the markets. We’ll explore the concept of draw on liquidity through premium and discount price delivery, equipping you to identify optimal trading sessions and execute high-probability trades, all while aligning with market bias. This video is part of our ongoing High Probability Trading Zones playlist on YouTube. If you haven't watched the previous videos, I highly recommend doing so. They provide essential insights into identifying and acting on market bias, which Quarter Theory enhances further. I highly recommend you watch ICT2022 Mentorship model on YouTube, it will really help you in your trading journey, the link to the mentorship is provided below. I’ll attach the links to those videos in the description below. Quarter Theory: Intraday Trading Mastery - Part 1 Intro: Premium Discount Price Delivery in Institutional Trading: ICT 2022 Mentorship: www.youtube.com High Probability Trading Zones: www.youtube.com Best Regards, The_Architect
OANDA:NAS100USDEducation
by The_Archi-tect
Quarter Theory: Intraday Trading Mastery - Part 1 IntroGreetings Traders! In today’s video, we’ll be introducing Quarter Theory Intraday Trading Mastery, a model grounded in the algorithmic nature of price delivery within the markets. We’ll explore candle anatomy and learn how to predict candle behavior on lower timeframes to capitalize on intraday trading opportunities. This model will also help us identify the optimal trading sessions and execute trades with high probability, all while effectively acting on market bias. This video will focus primarily on the foundational content, with practical examples to follow in the next video. In the meantime, I encourage you to practice these concepts on your own to deepen your understanding. This video is part of our ongoing High Probability Trading Zones playlist on YouTube. If you haven’t watched the previous videos in the series, I highly recommend checking them out. They provide crucial insights into identifying market bias, which Quarter Theory will help you act on effectively. I’ll attach the links to those videos in the description below. Premium Discount Price Delivery in Institutional Trading: Mastering Institutional Order-Flow Price Delivery: Quarter Theory Mastering Algorithmic Price Movements: Mastering High Probability Trading Across All Assets: Best Regards, The_Architect
OANDA:NAS100USDEducation
by The_Archi-tect
Mastering High Probability Trading Across All AssetsGreetings Traders! Welcome back to today’s video! In this session, we're revisiting the critical concept of draw on liquidity. I'll guide you on how to take advantage of it with extreme market precision, focusing on when to trade, when to avoid the market, and how to increase your chances of high-probability trade outcomes. If you're looking to enhance your trading strategy and make smarter decisions, this video is for you. Let's dive in and start mastering these concepts! Refer to these videos as well: Premium Discount Price Delivery in Institutional Trading: Mastering Institutional Order-Flow Price Delivery Quarter Theory Mastering Algorithmic Price Movements: Best Regards, The_Architect
OANDA:NAS100USDEducation
by The_Archi-tect
Quarter Theory: Mastering Algorithmic Price Movements!Greetings Traders, and welcome back! In today's video, we’ll dive deep into Quarter Theory—a powerful concept that can take your trading to the next level. We’ll break it down step-by-step, explain how it works, and show you how to implement it into your strategy. Quarter Theory is all about studying the algorithmic price delivery within the markets. It’s grounded in Time and Price Theory, which suggests that significant market moves often occur at specific price levels and times. This foundational idea will help us predict price movements more effectively. If you haven’t already, be sure to check out the previous videos in the High Probability Trading Zones playlist for the key concepts you’ll need to fully grasp today’s content. For those watching on TradingView, links to previous videos will be included to help you catch up. Mastering Institutional Order Flow & Price Delivery: Premium & Discount Price Delivery in Institutional Trading: We’re kicking off a weekly series on Quarter Theory, with the goal of helping you build a robust trading model by the end. Stay tuned! Best Regards, The_Architect
Education
by The_Archi-tect
2
High Probability Trading Environments Part 2: Liquidity RunsIn this educational video, we'll explore the distinction between High Resistance Liquidity Runs and Low Resistance Liquidity Runs, crucial for identifying High Probability Trading Environments. Our analysis will focus on NAS100USD, providing insights into potential trading opportunities for the week ahead. By understanding these concepts, you'll gain valuable insights into positioning yourself effectively in the market. Be sure to watch to gain a comprehensive understanding of the key confluences that contribute to successful trading strategies. Understanding Trend Analysis, SMT and ICT Concepts Mastering High Probability Trading Environments Part 1 Kind Regards, The_Architect
OANDA:NAS100USDEducation
by The_Archi-tect
Mastering High Probability Trading EnvironmentsIn this educational video, we'll delve into High Probability Trading Environments and introduce a simple yet effective concept to confirm their presence . Understanding these environments will empower you to confidently navigate the market with consistency and success. For a comprehensive understanding, I recommend watching my previous video on Understanding Trend Analysis, SMT, and ICT Concepts below. If you have any questions, feel free to leave them in the comments section. Happy trading! The_Architect
Education
by The_Archi-tect
ABB INDIA LTD Looks good for positional trade.Aim for 5-8%. It can be easily achievable in 1-3 days. My belief is to choose high winning probability trade with a risk-reward ratio going from 1:1 to 1:2. The reason for booking profit of only 5-8% is because the market direction is not sure at this point. So better to aim for 1:1 risk-reward and rotate your money in better opportunities. Take trade if all conditions meet at the end of the day 3:15-3:30 PM. If you have any questions or suggestions, please leave a comment below. I will personally reply to every single comment! If you enjoyed this analysis, I would definitely appreciate it, if you smash that like button and maybe consider following my channel.
NSE:ABBLong
by Chartmaniac
2
HAL Looks good for positional trade.Aim for 5-8%. It can be easily achievable in 1-3 days. My belief is to choose high winning probability trade with a risk-reward ratio going from 1:1 to 1:2. The reason for booking profit of only 5-8% is because the market direction is not sure at this point. So better to aim for 1:1 risk-reward and rotate your money in better opportunities. Take trade if all conditions meet at the end of the day 3:15-3:30 PM. If you have any questions or suggestions, please leave a comment below. I will personally reply to every single comment! If you enjoyed this analysis, I would definitely appreciate it, if you smash that like button and maybe consider following my channel.
NSE:HALLong
by Chartmaniac
LONDON SESSION:11-23 REVIEW +45RR POTENTIAL BUT POOR EXECUTIONToday's London session was a bit of a fumble. I am still working on psychology and being confident in my analysis. My overall analysis was correct but executing my trades and accepting losses has been a struggle. If I placed limit orders on all my ideas today the optimum outcome would have been +45RR-including the exception of the EU 1:13RR trade loss due to spread. If we do not count that trade today's recap would still be a +32RR day. For me that is 8k and 16% gain. More stats: 44% strike rate,4 wins and 5 losses, average RR =12.5RR per winning trade. All in all I am working on execution because the potential P/L looks great to me.
Short
by CydneyFleet