Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Der Leitzins in Australien wurde zuletzt mit 3,85 Prozent verzeichnet. Diese Seite bietet - Australien Zinssatz - aktuelle Werte, historische Daten, Prognosen, Diagramme, Statistiken, Wirtschaftskalender und Nachrichten.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The benchmark interest rate in New Zealand was last recorded at 3.25 percent. This dataset provides - New Zealand Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Interbank Rate in Australia decreased to 3.84 percent in June from 4 percent in May of 2025. This dataset provides - Australia Three Month Interbank Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.
All information presented here is for display purpose only, and may not be complete nor accurate. This information does not constitute a financial advice, and should not be used to make any investment decisions or financial transactions. This author rejects any claims for liabilities resulting from the use, misuse, or abuse of this information. Use at your own risk.
Due to time zone differences between Australia and most of the rest of the world, Australians have the advantage of knowing what happened at markets elsewhere in the world, before the Australian market (ASX) is open in the morning, Sydney time.
This prior knowledge provides an excellent opportunity for arbitrage. In the hands of a savvy day-trader, or a shrewd long-term investor, this information gives you the advantage of predicting the ASX, and achieve potentially significant financial gains.
For the ten years period from 1/7/2010 to 30/6/2020, the daily closing prices for 41 global market indicators are collected from various reliable public-domain sources. We checked the data for error or omissions and normalised all tabulated records in a format that facilitates further analysis and visulaisation.
Those 41 market indicators are what we consider significant measures of various external factors that may affect the performance of the Australian Stock Market, as represented by the ASX200. Those indicators are:
Nine other major stock market indices from the USA, Europe, and Asia.
The exchange rate of the $AU against 10 world currencies that are most relevant to Australia's international trade.
Official interest rates by the RBA and the US Feds, as indicators of affinity of foreign funds to Australia.
Yield rates for governments-issued bonds by 10 countries from Western and Asian economies, as measures of relative availability of credit and cross-border investment. Bonds are grouped into "Short-term" (one year maturity) and "Long-term" (10 to 30 years maturity).
Since Australia's economy is mainly an exporter of raw materials, we include prices for commodities that are most traded by Australia, as indicators for potential profitability for various relevant sectors of the ASX.
We feed relevant data to a machine learning model, which uses this data to extract heuristic parameters that are used to predict the ASX200 on daily basis, before market opens, and validates predictions at market close, with favourable results.
For more information, please visit the Tableau viz at: https://public.tableau.com/app/profile/yasser.ali.phd/viz/PredictingAustralianStockMarket/Story
https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/
This report analyses the exchange rate of the Australian dollar (AU$) in terms of the US dollar (US$). The exchange rate is determined by the supply and demand for each currency in the pair. The major drivers of the supply and demand for currencies are: interest rates; GDP growth; inflation; current account positions; equity flows; and the demand and price of commodities. The data for this report is sourced from the Reserve Bank of Australia (RBA) and is measured in US dollars. The RBA records the average monthly exchange rate on the last trading day of each month, and annual rates are calculated as the average of monthly rates over the financial year.
https://www.kappasignal.com/p/legal-disclaimer.htmlhttps://www.kappasignal.com/p/legal-disclaimer.html
This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.
Historical daily stock prices (open, high, low, close, volume)
Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)
Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)
Feature engineering based on financial data and technical indicators
Sentiment analysis data from social media and news articles
Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)
Stock price prediction
Portfolio optimization
Algorithmic trading
Market sentiment analysis
Risk management
Researchers investigating the effectiveness of machine learning in stock market prediction
Analysts developing quantitative trading Buy/Sell strategies
Individuals interested in building their own stock market prediction models
Students learning about machine learning and financial applications
The dataset may include different levels of granularity (e.g., daily, hourly)
Data cleaning and preprocessing are essential before model training
Regular updates are recommended to maintain the accuracy and relevance of the data
https://www.kappasignal.com/p/legal-disclaimer.htmlhttps://www.kappasignal.com/p/legal-disclaimer.html
This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.
Historical daily stock prices (open, high, low, close, volume)
Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)
Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)
Feature engineering based on financial data and technical indicators
Sentiment analysis data from social media and news articles
Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)
Stock price prediction
Portfolio optimization
Algorithmic trading
Market sentiment analysis
Risk management
Researchers investigating the effectiveness of machine learning in stock market prediction
Analysts developing quantitative trading Buy/Sell strategies
Individuals interested in building their own stock market prediction models
Students learning about machine learning and financial applications
The dataset may include different levels of granularity (e.g., daily, hourly)
Data cleaning and preprocessing are essential before model training
Regular updates are recommended to maintain the accuracy and relevance of the data
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Real interest rate (%) in Australia was reported at 1.5781 % in 2019, according to the World Bank collection of development indicators, compiled from officially recognized sources. Australia - Real interest rate - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.
This dataset contains news headlines relevant to key forex pairs: AUDUSD, EURCHF, EURUSD, GBPUSD, and USDJPY. The data was extracted from reputable platforms Forex Live and FXstreet over a period of 86 days, from January to May 2023. The dataset comprises 2,291 unique news headlines. Each headline includes an associated forex pair, timestamp, source, author, URL, and the corresponding article text. Data was collected using web scraping techniques executed via a custom service on a virtual machine. This service periodically retrieves the latest news for a specified forex pair (ticker) from each platform, parsing all available information. The collected data is then processed to extract details such as the article's timestamp, author, and URL. The URL is further used to retrieve the full text of each article. This data acquisition process repeats approximately every 15 minutes.
To ensure the reliability of the dataset, we manually annotated each headline for sentiment. Instead of solely focusing on the textual content, we ascertained sentiment based on the potential short-term impact of the headline on its corresponding forex pair. This method recognizes the currency market's acute sensitivity to economic news, which significantly influences many trading strategies. As such, this dataset could serve as an invaluable resource for fine-tuning sentiment analysis models in the financial realm.
We used three categories for annotation: 'positive', 'negative', and 'neutral', which correspond to bullish, bearish, and hold sentiments, respectively, for the forex pair linked to each headline. The following Table provides examples of annotated headlines along with brief explanations of the assigned sentiment.
Examples of Annotated Headlines Forex Pair Headline Sentiment Explanation GBPUSD Diminishing bets for a move to 12400 Neutral Lack of strong sentiment in either direction GBPUSD No reasons to dislike Cable in the very near term as long as the Dollar momentum remains soft Positive Positive sentiment towards GBPUSD (Cable) in the near term GBPUSD When are the UK jobs and how could they affect GBPUSD Neutral Poses a question and does not express a clear sentiment JPYUSD Appropriate to continue monetary easing to achieve 2% inflation target with wage growth Positive Monetary easing from Bank of Japan (BoJ) could lead to a weaker JPY in the short term due to increased money supply USDJPY Dollar rebounds despite US data. Yen gains amid lower yields Neutral Since both the USD and JPY are gaining, the effects on the USDJPY forex pair might offset each other USDJPY USDJPY to reach 124 by Q4 as the likelihood of a BoJ policy shift should accelerate Yen gains Negative USDJPY is expected to reach a lower value, with the USD losing value against the JPY AUDUSD RBA Governor Lowe’s Testimony High inflation is damaging and corrosive
Positive Reserve Bank of Australia (RBA) expresses concerns about inflation. Typically, central banks combat high inflation with higher interest rates, which could strengthen AUD. Moreover, the dataset includes two columns with the predicted sentiment class and score as predicted by the FinBERT model. Specifically, the FinBERT model outputs a set of probabilities for each sentiment class (positive, negative, and neutral), representing the model's confidence in associating the input headline with each sentiment category. These probabilities are used to determine the predicted class and a sentiment score for each headline. The sentiment score is computed by subtracting the negative class probability from the positive one.
https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/
Divergent trends in the building and infrastructure sectors have constrained the Construction division’s performance through the end of 2024-25, with revenue expected to drop by an annualised 1.2% to $521.2 billion. Rollercoaster-like trends in the residential building market and pandemic-related supply chain disruptions have constrained the performance of homebuilders and many special construction service industries. Still, favourable trends in non-residential building construction and non-building infrastructure construction generate buoyant conditions for some Construction division segments. New house construction surged to a record peak in 2021-22, supported by the Federal Government’s HomeBuilder stimulus and record-low interest rates. Still, new house construction has plunged in recent years following the hike in mortgage interest rates as the RBA seeks to quell inflation. Many small homebuilders have hit the wall in response to intense competition, escalating input costs and plunging profit margins. Conversely, the construction of multi-unit apartments and townhouses has gradually recovered from the deep trough in 2021-22 as investors return to address the severe rental shortages in the face of mounting population pressures. Divisional revenue contracted with the 2023-24 housing slump and is expected to sink 3.2% in 2024-25. Some large prime and specialist trade contractors have derived substantial stimulus from constructing landmark road and rail developments, including the WestConnex motorway in Sydney and the Cross River Rail in Brisbane. Similarly, conditions have been strong for contractors working on non-residential building projects, particularly accelerated growth in the construction of industrial warehouses and distribution facilities. Favourable trends in the residential building market are forecast to underpin modest growth in Construction division revenue at an annualised 1.2% over the five years through 2029-30 to $554.0 billion. Many prime building and special construction contractors will benefit from an upswing in demand for constructing multi-unit dwellings and, to a lesser extent, single-unit housing and home renovations. The housing market will benefit from the initiatives under the National Housing Accord. Construction activity will remain stable in the non-residential market. At the same time, the principal constraint on the Construction division will come from the staged completion of several landmark road and rail projects.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Ritchie Bros Auctioneers reported $52.7M in Interest Expense on Debt for its fiscal quarter ending in December of 2024. Data for Ritchie Bros Auctioneers | RBA - Interest Expense On Debt including historical, tables and charts were last updated by Trading Economics this last July in 2025.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Ritchie Bros Auctioneers reported 5.9M in Interest Income for its fiscal quarter ending in December of 2024. Data for Ritchie Bros Auctioneers | RBA - Interest Income including historical, tables and charts were last updated by Trading Economics this last July in 2025.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Bank Bill Swap Rate in Australia remained unchanged at 3.58 percent on Tuesday July 8. This dataset includes a chart with historical data for Australia Bank Bill Swap Rate.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The yield on Australia 10Y Bond Yield rose to 4.38% on July 14, 2025, marking a 0.05 percentage point increase from the previous session. Over the past month, the yield has edged up by 0.13 points and is 0.04 points higher than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. Australia 10-Year Government Bond Yield - values, historical data, forecasts and news - updated on July of 2025.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Mortgage Rate in Australia decreased to 5.84 percent in May from 5.98 percent in April of 2025. This dataset includes a chart with historical data for Australia Mortgage Rate.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Bank Lending Rate in Australia decreased to 10.26 percent in June from 10.38 percent in May of 2025. This dataset provides - Australia Bank Lending Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Inflation Rate in Australia remained unchanged at 2.40 percent in the first quarter of 2025 from 2.40 percent in the fourth quarter of 2024. This dataset provides the latest reported value for - Australia Inflation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The yield on Australia 5 Year Bond Yield rose to 3.65% on July 14, 2025, marking a 0.02 percentage point increase from the previous session. Over the past month, the yield has edged up by 0.09 points, though it remains 0.42 points lower than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. Australia 5 Year Note Yield - values, historical data, forecasts and news - updated on July of 2025.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The yield on Australia 2 Year Bond Yield rose to 3.40% on July 11, 2025, marking a 0.02 percentage point increase from the previous session. Over the past month, the yield has edged up by 0.08 points, though it remains 0.77 points lower than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. Australia 2 Year Note Yield - values, historical data, forecasts and news - updated on July of 2025.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Prices for Australia 3Y including live quotes, historical charts and news. Australia 3Y was last updated by Trading Economics this July 14 of 2025.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Der Leitzins in Australien wurde zuletzt mit 3,85 Prozent verzeichnet. Diese Seite bietet - Australien Zinssatz - aktuelle Werte, historische Daten, Prognosen, Diagramme, Statistiken, Wirtschaftskalender und Nachrichten.