Showing posts with label IPDA. Show all posts
Showing posts with label IPDA. Show all posts

Thursday, July 18, 2024

Interbank Price Delivery Algorithm (IPDA) Data Ranges | D'onte Goodridge

IPTA stands for Interbank Price Delivery Algorithm which controls the price action on our charts. It is the sole reason we get the four phases of the market: consolidation, expansion, retracement, and reversal. IPTA is used by Commercial Speculators to move large orders in the market. IPTA creates shifts on the daily chart every 20, 40, and 60 trading days, known as the IPDA look-back periods.
 
 IPDA Look-Back Periods = 20, 40, and 60 Trading Days

Approximately every 20 trading days, new liquidity pools form on both sides of the market. Understanding IPTA will give clarity about which levels are significant to current price. IPTA is always working and exchanging orders every second. IPTA can be applied on a daily timeframe of the current trading day or the first trading day of a month. 
 
Before trading a new month, traders should follow three steps to gain insight in the market:

(I.) Visualize IPDA Data Ranges in Daily Chart
The first step you must follow is finding the first trading day of a new month. Next you count back 20, 40, and 60 trading days (TD) from the first trading day of the month. Last find the highest high and lowest low in each look back data range.

 
The above is the daily chart of British pound versus US dollar (GBPUSD). Currently we are in January 2023, and the first official trading day is Monday, January 2, 2023. That is the start. From here we look back 20, 40, and 60 trading days: back 20 TD = December 2, 2022; back 40 TD = November 4, 2022; back 60 TD = October 7, 2022. Now we have all our look back data ranges. We find the highest high (red lines) and lowest low (blue lines) in al three quadrants.

(II.) Create hypothesis were price might draw to based on Technical and Fundamental Analysis
Now that we have finished our chart activity, we will take a look at technical analysis, then perform fundamental analysis and gain macroeconomic data that can aid with insight. Last, bring together the two analysis techniques to form a hypothesis on what price should do in the near future. 
 
Every new trading month, I am asking myself two questions: 
 
(1.) Is price going to give me a quarterly shift, meaning change trends?
(2.) Or is price going to continue its current trend? 
 
I have no idea whether or not the market is going to continue its trend or make a quarterly shift during the new month. However, using the IPTA ranges, I am able to structure some story-line, especially around liquidity. Going into a new trading month, IPTA ranges can help to figure out where the large orders of liquidity are residing. One side of the market is going to be taken, whether that is buy side liquidity or sell side liquidity. Look for the highs and lows that are still intact. This is where the price algorithm is going to draw to.
 
(III.) Consider Seasonality
Incorporate Seasonality for more insight going into a new trading month. Seasonality does not tell you when to buy or sell for the year but it does give a general sense of when to anticipate the high of the year or the low of the year or when a instrument may be going sideways for a month or a couple of months.

 
IPDA Library Example #1: Gold/USD vs IPDA.
 Primary driver of the market are Interest Rate Differentials (IRDs).
 
Ref
erence:

Thursday, July 4, 2024

Structural Characteristics of Bullish & Bearish Months | D'onte Goodridge

Traders want to find trending markets but often fail to see and understand the structural characteristics of bullish and bearish months. Both move in a similar fashion but inverse to one another. Here are the characteristics for the formation of a bullish month:
 
 
The first example is a daily chart of US Dollar versus Japanese Yen (USDJPY) during February 2023. The market was trending up. It was a bullish month. Let's identify the five key factors to a bullish month:

1. Price moves below the monthly opening price.
2. A swing low forms below the month's open.
3. Price purges a previous daily low (PDL) and reverses back to a previous daily high (PDH).
4. The market creates a market structure shift (MSS) to the upside and an Imbalance or Fair Value Gap (FVG).
5. Higher swing highs and higher swing lows form.
 

Looking at the daily candles in the USDJPY chart, we see the methodical sequence of a Bullish Month developing:
 
1. Price was movesg below the monthly opening price. Price stops below it, runs up, drops below it, runs up and continues the bullish trend.
2. A swing low below the month's open forms. This is a swing low because the candle on the left has a higher low and the candle on the right has a higher low, hence the low in the middle is the lowest point. To form a swing low  only takes three bars.
3. Price purges a previous low and works back to a previous high. The following day price reverses back to the previous daily high, all happening within a three bar setup, creating a swing low, which is a purge on the previous daily low and a reversal back to a previous daily high.
4. Next the market creates a shift to the upside with speed through a previous swing high and a FVG.
5. And price created a new swing high and a higher swing low.

The next example is a daily chart of Apple during January 2023. The same five criteria for a Bullish Month were met:
 

Now let's look at the five key factors to a Bearish Month:

1. Price moves above the monthly opening price.
2. A swing high forms above the month's open.
3. Price purges a previous daily high and reverses back to a previous daily low.
4. The market creates a shift to the downside and a FVG.
5. Lower swing highs and lower swing lows form.
 

The first example is a daily chart of British Pound versus US Dollar during August 2022. The market was trending down. Identify the above listed five criteria for the formation of a Bearish Month:
 
 
The last example is a daily chart of Gold during February 2023. Gold was in a down trend. Identify the structural criteria for the formation of a Bearish Month: