Skip to content
SMARTFINANCEDATA
Home Markets Insights Blog Tools Contact
Sign In Get Access
Home How It Works Markets Insights Blog Tools Pricing Contact
Sign In Get Access

GBP/AUD: High Probability Days (Bearish)

The table below provides a detailed breakdown of all high-probability bearish days on GBP/AUD, categorized by month and day. Discover how often each day closed bullish and bearish, and gain valuable insights into potential selling opportunities.

Combine these insights with our proven strategies/techniques to pinpoint high-probability bearish trades on GBP/AUD.

Dataset Overview
  • Average Trading Volume: 130901
  • Start Of Data Range: 04 January 2000
  • End Of Data Range: 01 January, 2023
  • Highest Closing Price: 27 September 2001 (3.02150)
  • Lowest Closing Price: 12 March 2013 (1.44316)
  • Day With Largest Gain: January 1, 2021 CHECK AGAIN
  • Day With Largest Loss: 13 October 2008 (-6.86%)
  • Day With Highest Volume: 18 October 2012 (1438230)
  • Day With Lowest Volume: 01 January 2018 (6362)
Key Links/Files
  • GBP/AUD: High Prob Occurrences (Bearish)
  • GBP/AUD: High Prob Occurrences (Bullish)
  • GBP/AUD: Daily Close Prob (All Days)
  • GBP/AUD: High Prob Days (Bearish)
  • GBP/AUD: High Prob Days (Bullish)
  • Bullish Days Master List (+64%)
  • Bearish Days Master List (+64%)
  • Ideal Range Master List (Bullish)
  • Ideal Range Master List (Bearish)
0 DON'T FORGET: For a comprehensive understanding of the figures behind our high-probability days, explore our "Occurrences" datasets. We've compiled the dates and price information (Open, High, Low, Close) for every bullish and bearish occurrence contributing to a high-probability day,
ensuring complete transparency in our analysis and probabilities.
Month Day Closed Bullish Closed Bearish Total Bearish Day Probability
January 2 2 14 16 87.50%
January 3 5 12 17 70.59%
January 4 6 12 18 66.67%
Febuary 3 6 11 17 64.71%
Febuary 5 5 10 15 66.67%
Febuary 11 4 13 17 76.47%
Febuary 13 6 11 17 64.71%
Febuary 16 6 11 17 64.71%
Febuary 24 6 11 17 64.71%
Febuary 25 5 12 17 70.59%
March 3 5 12 17 70.59%
March 15 6 12 18 66.67%
March 18 5 11 16 68.75%
March 26 4 12 16 75.00%
April 8 4 12 16 75.00%
April 10 5 11 16 68.75%
May 2 5 13 18 72.22%
May 5 6 11 17 64.71%
May 6 5 11 16 68.75%
May 10 6 12 18 66.67%
May 26 6 11 17 64.71%
May 28 5 11 16 68.75%
June 2 5 12 17 70.59%
June 3 4 12 16 75.00%
June 4 5 11 16 68.75%
June 6 5 13 18 72.22%
June 8 6 12 18 66.67%
June 18 5 11 16 68.75%
June 25 3 13 16 81.25%
July 3 6 11 17 64.71%
July 4 6 11 17 64.71%
July 12 5 13 18 72.22%
August 6 4 12 16 75.00%
August 15 6 11 17 64.71%
August 22 6 11 17 64.71%
August 24 6 11 17 64.71%
September 6 5 12 17 70.59%
September 11 5 11 16 68.75%
September 16 5 11 16 68.75%
October 1 5 11 16 68.75%
October 6 5 11 16 68.75%
October 8 5 11 16 68.75%
October 11 5 12 17 70.59%
October 12 5 12 17 70.59%
October 22 4 12 16 75.00%
November 1 6 11 17 64.71%
November 2 6 11 17 64.71%
November 4 5 11 16 68.75%
November 15 5 12 17 70.59%
December 6 5 12 17 70.59%
December 21 6 11 17 64.71%
December 22 5 11 16 68.75%
December 23 5 11 16 68.75%
December 28 5 12 17 70.59%
December 30 4 12 16 75.00%
Month Day Closed Bullish Closed Bearish Total Bearish Day Probability
0 QUICK TIP: Use the filters above or the search bar at the top to quickly locate and sort the probabilities associated with specific months and days. This allows you to easily find the data you need for making informed decisions.

FAQ: Your Top Questions Answered!

Find answers to your top questions about our GBP/AUD 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!

SmartFinanceData

Probabilistic market analytics across Forex, Indices, Commodities & Crypto — powered by 50+ datasets and millions of data points.

Product
Insights Markets Pricing Team
Resources
Methodology Disclaimer Terms Of Service Privacy Policy FAQ Contact

© 2026 SmartFinanceData. All data is historical and does not guarantee future performance.

Dynamic title for modals

Are you sure?

Please confirm deletion. There is no undo!