SMARTFINANCEDATA
Sign In Get Access

AUD/NZD High Probability Occurences (Bearish)

AUD/NZD: High Prob Occurences (Bearish)

The table below presents the complete list of daily occurences behind each high-probability (above 64%) bearish day on AUD/NZD, ordered by month and year. Analyze the historical price data to gain
a deeper understanding of the factors driving these high-probability days.

Validate our findings by examining the price action (Open, High, Low, Close) for each occurrence contributing to a high-probability day

Dataset Overview

  • Average Trading Volume: 131220

  • Start Of Data Range: 11 November 2003

  • End Of Data Range: 01 January, 2023

  • Highest Closing Price: 04 March 2011 (1.37253)

  • Lowest Closing Price: 21 April 2015 (1.00469)

  • Day With Largest Gain: 28 October 2008 (11.16%)

  • Day With Largest Loss: 24 October 2008 (-11.21%)

  • Day With Highest Volume: 18 October 2012 (699339)

  • Day With Lowest Volume: 01 January 2018 (8015)

  • Average Trading Volume: 131220

  • Start Of Data Range: 11 November 2003

  • End Of Data Range: 01 January, 2023

  • Highest Closing Price: 04 March 2011 (1.37253)

  • Lowest Closing Price: 21 April 2015 (1.00469)

  • Day With Largest Gain: 28 October 2008 (11.16%)

  • Day With Largest Loss: 24 October 2008 (-11.21%)

  • Day With Highest Volume: 18 October 2012 (699339)

  • Day With Lowest Volume: 01 January 2018 (8015)
Key Links/Files

0
IMPORTANT: Occurrences are listed in chronological order, starting with the earliest year. If a year or date is missing, it usually indicates it fell on a weekend or holiday. To filter by a specific month: Type the month into the search bar using: /03/ (for March).

FAQ: Your Top Questions Answered!

Find answers to your top questions about our AUD/NZD dataset below. Need more in-depth help about the charts and datasets presented? Contact us directly – we’re always happy to support
your trading journey!

“Occurrences” or “Events” simply mean the number of times a specific pattern or event happened in our historical price data.

Examples:

Consecutive Days: If you see “545 occurrences for three consecutive bullish days,” it means we found 545 instances where the price went up for three days in a row, then went down on the fourth day.

Specific Patterns: If a candlestick pattern, like a “pin bar,” has 720 occurrences, it means that pattern showed up 720 times in our data.

Why it Matters:

The more occurrences we see (the larger the sample size), the more reliable the associated probabilities and insights are, as we have more data to base our conclusions on.

The probability percentages tell you how likely a specific outcome is according to how often it happened in the past.

Think of it like flipping a coin:

If Monday holds a 76% probability of closing bullish, that means the market should close bullish roughly 76 times out of every 100 Mondays, based on historical data. Just like a coin has a 50/50 chance of landing heads or tails, these probabilities help you “weigh” the odds for different market scenarios.

A higher percentage means a greater chance of that particular event happening again.

Our current analysis primarily focuses on the daily timeframe, with each data point representing a single trading day. However, we’re continuously expanding our research and are excited to soon offer insights from shorter timeframes, such as 1-hour and 5-minute charts.

Expect even more granular data and potential trading opportunities.

Stay tuned for updates!

Our foundational data is sourced from Barchart Premium, a recognized industry leader in market information, ensuring the accuracy and reliability of our analysis.

We then apply rigorous internal quality checks to further validate our findings.

You’ll often notice high occurrence counts for high-probability events in our analysis. This is a testament to the extensive amount of price data we process, underscoring the robustness and reliability of our statistical insights.

Rest assured: Our data-driven conclusions are always backed by thorough analysis.

We update our analysis at the beginning of each year to ensure you’re always working with the most relevant market data.

While you might notice frequent updates for high-probability events, adjustments to probabilities require more time. This is because we rely on a substantial sample size to ensure any changes are statistically significant and not just random fluctuations.

Our goal is to provide trustworthy insights that give you a true edge. Sometimes, that means waiting for enough new data to make meaningful updates to those core probabilities.

Screenshot and copy/paste functions are disabled to protect our proprietary data and analysis, which are a core part of the value we provide to our members.

Unauthorized sharing of our probability insights undermines the exclusivity of our service.
We take protecting our intellectual property seriously. Attempts to circumvent these restrictions will result in immediate account termination.

We appreciate your cooperation in helping us maintain a fair service for our community.

Get ready for a weekly dose of trading insights!

We’re constantly expanding our arsenal of game-changing charts, datasets, and probability figures to enhance your trading. Stay tuned for exciting updates that will revolutionize your analysis and decision-making.

The charts and datasets you see now are just the beginning of what we plan to offer.

Here’s a sneak peek of what’s coming soon:

Scalping & Intraday Strategies:
High-probability setups and market events revealed on the 1-hour and 5-minute charts, allowing you to further capitalize on short-term moves.

Pin Bar Mastery:
Dive into pin bar probabilities, understanding how time of day, wick size, and market conditions impact success rates.

Profit From Extreames:

Strategies tailored around unique events like new 30-day highs/lows, increasing your chances of catching significant moves.

We’re committed to providing the most comprehensive probability-based FX analysis suite.

Stay tuned for updates!

TAGS:

Leave a Reply

Your email address will not be published. Required fields are marked *