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ICT Mentorship Core Content - Month 07 - Short Term Trading Blending IPDA Data Ranges & PD Arrays
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ICT Mentorship Core Content - Month 07 - Short Term Trading Blending IPDA Data Ranges & PD Arrays

Short-term Trading with Data Ranges and PD Arrays

In this lesson, we learn about short-term trading using data ranges and PD arrays. We explore how to blend time and price by looking back over the last 20, 40, or 60 days to find context for our trades.

Blending Time and Price

  • Data ranges refer to time while PD arrays deal with price.
  • By blending time and price, we can shift our range forward each day to cast forward for a new set of 20, 40, or 60 days.
  • The enter bank price delivery algorithm will reach back into data arrays between the last 20, 40, or 60 days depending on the respective PD array in reference to price.

Premium Market vs. Discount Market

  • For a premium market where prices are in a premium state, we would be looking for bearish mitigation blocks such as bearish breaker liquidity void fair value gap or bearish order block.
  • For a discount market where prices are below fair value, we would be looking for bullish mitigation blocks such as bullish breaker liquidity void fair value gap bullish order block rejection block old low or old high.

Using PD Arrays

  • To use PD arrays effectively, look at your current market action and determine which premium and discount PD arrays exist in your price action.
  • If there is an absence of any one of them it doesn't negate or increase or lessen the validity of an ideal setup; it just means that you have far less to choose from in terms of targets or setups.

Example: Australian Dollar Daily Chart

  • We take a look at an example using the Australian dollar daily chart.

Understanding PD Arrays

In this section, the speaker explains how to use PD arrays to analyze price action and identify potential trading opportunities.

Look Back Periods

  • The look back period is 20, 40, and 60 trading days.
  • The total 60-day trading range is defined by the lowest point with the old low noted and the highest high formed in the last 20 trading days.
  • Splitting that market in half in reference to its old High and it's old low we can see where the premium and discount Market ranges exist.

Bearish Mitigation Blocks

  • When looking at the last 20 trading days, we start looking for bearish mitigation blocks in the premium range.
  • These blocks include a bearish breaker liquidity void fair value Gap bearish order block rejection blocks and or on Old high or old low.

Premium and Discount PD Arrays

  • In the last 20 trading days, these are the respective premium and discount PD arrays:
  • Old High
  • Rejection Block
  • Bearish Order Block Mean Threshold
  • Bearish Order Block
  • Bullish Order Block
  • Bullish Order Box Mean Threshold
  • Rejection Block
  • Old Low

Four Hour Chart Analysis

  • Moving down into a four-hour chart gives more detail on how price moves from one PD array to another.
  • When selling short on The Daily PD arrays in the premium range, we would be looking for a lesser time frame to target our exit that would be in the form of a four-hour or one-hour chart.

Using PD Arrays for Trading

In this section, the speaker explains how to use PD arrays for trading and provides an example using the Australian dollar.

Liquidity Void

  • The four-hour chart shows a clear liquidity void.
  • Price also trades back up into a mitigation and breaker trades up to an Institutional price level 76.80.

Bearish Ideas

  • If we saw price fail on Tuesday and break down lower during Tuesday, we start looking for bearish ideas inside of the premium range.
  • We look for all the premium PD arrays to start keying off all potential cell scenarios.

Example with Australian Dollar

  • The market for the Australian dollar made a higher high on Tuesday but failed to make a higher high and trade higher into a monthly range as expected in analysis.
  • Having these understandings of short-term trading is not required all the time exactly where the Market's going to go if you fail in your analysis it'll give you an immediate reason to maybe reverse your analysis and take the trades in the opposite direction.
  • Once Tuesday broke down, there was more analysis suggesting that price was going to trade down and close the liquidity void.
  • When selling short on The Daily PD arrays in the premium range, we would be looking for a lesser time frame to target our exit that would be in the form of a four-hour or one-hour chart.

The Liquidity Void

In this section, the speaker discusses how the market closed in the liquidity void and how it can be refined into days of the week on a four-hour chart.

The Liquidity Void

  • The market closed in the liquidity void.
  • It can be refined into days of the week on a four-hour chart.

Market Maker Manipulation Template

In this section, the speaker talks about using a market maker manipulation template to identify trading opportunities.

Using Market Maker Manipulation Template

  • Forming high of the week on Tuesday trading at an old monthly weekly and or daily High liquidity pool.
  • Discount Market PD array is going to be used on a time frame lesser than premium liquidity pool that was used.
  • A discount PD array comes in the form of liquidity void taking us down into 7605 as our objective.

Blending Time and Price

In this section, the speaker discusses blending time and price to get symmetry in the marketplace.

Blending Time and Price

  • Blending time and price gives us symmetry in the marketplace.
  • We'll build more on these ideas as we go through and trade with more insights using ifta data ranges and PD array Matrix.
Playlists: 2017 ICT Private Mentorship Core Content Month 07
Video description

2017 Premium ICT Mentorship Core Content Video Lectures Audio and visuals are exactly as they were distributed in March 2017. CFTC RULE 4.41 – HYPOTHETICAL OR SIMULATED PERFORMANCE RESULTS HAVE CERTAIN LIMITATIONS. UNLIKE AN ACTUAL PERFORMANCE RECORD, SIMULATED RESULTS DO NOT REPRESENT ACTUAL TRADING. ALSO, SINCE THE TRADES HAVE NOT BEEN EXECUTED, THE RESULTS MAY HAVE UNDER-OR-OVER COMPENSATED FOR THE IMPACT, IF ANY, OF CERTAIN MARKET FACTORS, SUCH AS LACK OF LIQUIDITY. SIMULATED TRADING PROGRAMS IN GENERAL ARE ALSO SUBJECT TO THE FACT THAT THEY ARE DESIGNED WITH THE BENEFIT OF HINDSIGHT. NO REPRESENTATION IS BEING MADE THAT ANY ACCOUNT WILL OR IS LIKELY TO ACHIEVE PROFIT OR LOSSES SIMILAR TO THOSE SHOWN Trading performance displayed herein is hypothetical. Hypothetical performance results have many inherent limitations, some of which are described below. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown. In fact, there are frequently sharp differences between hypothetical performance results and the actual results subsequently achieved by any particular trading program. One of the limitations of hypothetical performance trading results is that they are generally prepared with the benefit of hindsight. In addition, hypothetical trading does not involve financial risk, and no hypothetical trading record can completely account for the impact of financial risk in actual trading. For example, the ability to withstand losses or to adhere to a particular trading program in spite of trading losses are material points which can also adversely affect actual trading results. There are numerous other factors related to the markets in general or to the implementation of any specific trading program which cannot be fully accounted for in the preparation of hypothetical performance results and all of which can adversely affect actual trading results. U.S. Government Required Disclaimer – Commodity Futures Trading Commission Futures and Options trading has large potential rewards, but also large potential risk. You must be aware of the risks and be willing to accept them in order to invest in the futures and options markets. Don’t trade with money you can’t afford to lose. This is neither a solicitation nor an offer to Buy/Sell futures or options. No representation is being made that any account will or is likely to achieve profits or losses similar to those discussed on this web site. The past performance of any trading system or methodology is not necessarily indicative of future results. Trade at your own risk. The information provided here is of the nature of a general comment only and neither purports nor intends to be, specific trading advice. It has been prepared without regard to any particular person’s investment objectives, financial situation and particular needs. Information should not be considered as an offer or enticement to buy, sell or trade. You should seek appropriate advice from your broker, or licensed investment advisor, before taking any action. Past performance does not guarantee future results. Simulated performance results contain inherent limitations. Unlike actual performance records the results may under or over compensate for such factors such as lack of liquidity. No representation is being made that any account will or is likely to achieve profits or losses to those shown. The risk of loss in trading can be substantial. You should therefore carefully consider whether such trading is suitable for you in light of your financial condition. If you purchase or sell Equities, Futures, Currencies or Options you may sustain a total loss of the initial margin funds and any additional funds that you deposit with your broker to establish or maintain your position. If the market moves against your position, you may be called upon by your broker to deposit a substantial amount of additional margin funds, on short notice in order to maintain your position. If you do not provide the required funds within the prescribed time, your position may be liquidated at a loss, and you may be liable for any resulting deficit in your account. Under certain market conditions, you may find it difficult or impossible to liquidate a position. This can occur, for example, when the market makes a “limit move.” The placement of contingent orders by you, such as a “stop-loss” or “stop-limit” order, will not necessarily limit your losses to the intended amounts, since market conditions may make it impossible to execute such orders.