Core consumer prices in the United States increased 3 percent in September of 2025 over the same month in the previous year. This dataset provides - United States Core Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The Consumer Price Index in the United States increased 0.30 percent in September of 2025 over the previous month. This dataset provides - United States Inflation Rate MoM - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Graph and download economic data for Market Yield on U.S. Treasury Securities at 30-Year Constant Maturity, Quoted on an Investment Basis, Inflation-Indexed from 2010-02-26 to 2025-11-28 about TIPS, 30-year, maturity, Treasury, securities, interest rate, interest, real, rate, and USA.

Dataset

This dataset was created by Timal Peramune

Contents

U.S. Economic and Financial Dataset

Dataset Description

This dataset combines historical U.S. economic and financial indicators, spanning the last 50 years, to facilitate time series analysis and uncover patterns in macroeconomic trends. It is designed for exploring relationships between interest rates, inflation, economic growth, stock market performance, and industrial production.

Key Features

• Frequency: Monthly
• Time Period: Last 50 years from Nov-24
• Sources:
  • Federal Reserve Economic Data (FRED)
  • Yahoo Finance

Dataset Feature Description

1. Interest Rate (Interest_Rate):

   • The effective federal funds rate, representing the interest rate at which depository institutions trade federal funds overnight.

2. Inflation (Inflation):

   • The Consumer Price Index for All Urban Consumers, an indicator of inflation trends.

3. GDP (GDP):

   • Real GDP measures the inflation-adjusted value of goods and services produced in the U.S.

4. Unemployment Rate (Unemployment):

   • The percentage of the labor force that is unemployed and actively seeking work.

5. Stock Market Performance (S&P500):

   • Monthly average of the adjusted close price, representing stock market trends.

6. Industrial Production (Ind_Prod):

   • A measure of real output in the industrial sector, including manufacturing, mining, and utilities.

Dataset Statistics

1. Total Entries: 599
2. Columns: 6
3. Memory usage: 37.54 kB
4. Data types: float64

Feature Overview

• Columns:
  • Interest_Rate: Monthly Federal Funds Rate (%)
  • Inflation: CPI (All Urban Consumers, Index)
  • GDP: Real GDP (Billions of Chained 2012 Dollars)
  • Unemployment: Unemployment Rate (%)
  • Ind_Prod: Industrial Production Index (2017=100)
  • S&P500: Monthly Average of S&P 500 Adjusted Close Prices

Executive Summary

This project explores the interconnected dynamics of key macroeconomic indicators and financial market trends over the past 50 years, leveraging data from the Federal Reserve Economic Data (FRED) and Yahoo Finance. The dataset integrates critical variables such as the Federal Funds Rate, Inflation (CPI), Real GDP, Unemployment Rate, Industrial Production, and the S&P 500 Index, providing a holistic view of the U.S. economy and financial markets.

The analysis focuses on uncovering relationships between these variables through time-series visualization, correlation analysis, and trend decomposition. Key findings are included in the Insights section. This project serves as a robust resource for understanding long-term economic trends, policy impacts, and market behavior. It is particularly valuable for students, researchers, policymakers, and financial analysts seeking to connect macroeconomic theory with real-world data.

Potential Use Cases

• Economic Analysis: Examine relationships between interest rates, inflation, GDP, and unemployment.
• Stock Market Prediction: Study how macroeconomic indicators influence stock market trends.
• Time Series Modeling: Perform ARIMA, VAR, or other models to forecast economic trends.
• Cyclic Pattern Analysis: Identify how economic shocks and recoveries impact key indicators.

Snap of Power Analysis

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To ensure sufficient power, the dataset covers last 50 years of monthly data i.e., around 600 entries.

Key Insights derived through EDA, time-series visualization, correlation analysis, and trend decomposition

• Interest Rate and Inflation Dynamics: The interest Rate and inflation exhibit an inverse relationship, especially during periods of aggressive monetary tightening by the Federal Reserve.
• Economic Growth and Market Performance: GDP growth and the S&P 500 Index show a positive correlation, reflecting how market performance often aligns with overall economic health.
• Labor Market and Industrial Output: Unemployment and industrial production demonstrate a strong inverse relationship. Higher industrial output is typically associated with lower unemployment
• Market Behavior During Economic Shocks: The S&P 500 experienced sharp declines during significant crises, such as the 2008 financial crash and the COVID-19 pandemic in 2020. These events also triggered increased unemployment and contractions in GDP, highlighting the interplay between markets and the broader economy.
• Correlation Highlights: S&P 500 and GDP have a strong positive correlation. Interest rates negatively correlate with GDP and inflation, reflecting monetary policy impacts. Unemployment is negatively correlated with industrial production but positively correlated with interest rates.

Link to GitHub Repo

https:/...

Core Inflation Rate MoM in the United States decreased to 0.20 percent in September from 0.30 percent in August of 2025. This dataset includes a chart with historical data for the United States Core Inflation Rate MoM.

Revenue for the Open-End Investment Funds industry has been increasing over the past five years. Open-end investment funds revenue has been growing slightly but remaining relatively steady at a CAGR of 0.0% to $196.1 billion over the past five years, including an expected increase of 4.2% in the current year. In addition, industry profit has climbed and comprises 33.1% of revenue in the current year. Overall, revenue has been increasing alongside overall asset growth, despite operators being forced to lower fees to meet shifting consumer preferences. The industry has encountered volatility due to the high-interest rate environment for most of the period. Higher interest rates reduce liquidity and make fixed income securities more attractive to investors due to less risk and more predictable interest payments. The industry has also encountered increased growth for ETFs and retail investors. The greatest shift in the industry has been an evolving investor preference for exchange-traded funds (ETFs). While mutual funds account for the majority of industry assets, growth in ETF assets has significantly outpaced that of mutual funds. Expenses that mutual fund investors incur have fallen from 0.5% of assets in 2018 to 0.4% in 2023, as industry operators have cut fees to attract new capital due to pressure from new funds (latest data available). Despite the high interest rate environment, the Fed slashed rates in 2024 and is anticipated to cut rates further in the latter part of 2025, which will boost asset prices. Open-end investment funds' revenue is expected to grow at a CAGR of 0.3% to $198.7 billion over the five years to 2030. The fears over inflation and a possible recession are expected to dominate the beginning of the outlook period. The Federal Reserve is expected to continue cutting interest rates as inflationary pressures ease. Investment companies' importance will continue to grow, with mutual funds and ETFs representing key channels for individual and institutional investors to access financial markets.

Graph and download economic data for Market Yield on U.S. Treasury Securities at 30-Year Constant Maturity, Quoted on an Investment Basis, Inflation-Indexed (RIFLGFCY30XIINA) from 2010 to 2024 about TIPS, 30-year, maturity, investment, Treasury, yield, securities, interest rate, interest, real, rate, and USA.

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The raw data that is used in this dataset is the basic OHLC time series dataset for a gold market of the last 20 years collected and verified from different exchanges. This dataset contains over 8677 daily candle prices (rows) and in order to make it wealthy, extra datasets were merged with it to provide more details to each data frame. The sub-datasets contain historical economic information such as interest rates, inflation rates, and others that are highly related and affecting the gold market movement.

Raw dataset:

Time Range: 1988-08-01 to 2023-11-10 Number of data entries: 4050 Number of features: 4 (open, high, low, close OHLC daily candle price)

What are done to prepare this dataset : 1. Starting Exploratory Data Analysis (EDA) for all the raw datasets. 2. Find and fill in missing days. 3. Merge all the datasets into one master dataset based on the time index. 4. Verify the merge process. 5. Check and remove Duplicates. 6. Check and fill in missing values. 7. Including the basic technical indicators and price moving averages. 8. Outliers Inspection and treatment by different methods. 9. Adding targets. 10. Feature Analysis to identify the importance of each feature. 11. Final check.

After data preparation and feature engineering:

Time Range: 1999-12-30 to 2023-10-01

Number of data entries: 8677

Number of featuers: 28

Features list: open, high, low, close (OHLC daily candle price) dxy_open, dxy_close, dxy_high, dxy_low, fred_fedfunds, usintr, usiryy (Ecnomic inducators) RSI, MACD, MACD_signal, MACD_hist, ADX, CCI (Technical indicators) ROC SMA_10, SMA_20, EMA_10, EMA_20, SMA_50, EMA_50, SMA_100, SMA_200, EMA_100, EMA_200 (Moving avrages)

Targets List: next_1_day_price next_3_day_price next_7_day_price next_30_day_price next_1_day_Price_Change next_3_day_Price_Change next_7_day_Price_Change next_30_day_Price_Change next_30_day_Price_Change next_1_day_price_direction( Up, Same ,Down) next_3_day_price_direction( Up, Same ,Down) next_7_day_price_direction( Up, Same ,Down) next_30_day_price_direction( Up, Same ,Down)

Abbreviations of Features: dxy = US Dollar Index fred_fedfunds= Effective Federal Funds Rate usintr= US Interest Rate usiryy= US Inflation Rate YOY RSI= Relative Strength Index MACD= Moving Average Convergence Divergence ADX= Avrerage Directional Index CCI=Commodity Channel Index ROC= Rate of Change SMA= Simple Moving Average EMA= Exponential Moving Average

Graph and download economic data for Market Yield on U.S. Treasury Securities at 5-Year Constant Maturity, Quoted on an Investment Basis, Inflation-Indexed (WFII5) from 2003-01-03 to 2025-11-28 about TIPS, maturity, Treasury, securities, 5-year, interest rate, interest, real, rate, and USA.

As of July 18, 2025, the major economy with the highest yield on 10-year government bonds was Turkey, with a yield of ** percent. This is due to the risks investors take when investing in Turkey, notably due to high inflation rates potentially eradicating any profits made when using a foreign currency to investing in securities denominated in Turkish lira. Of the major developed economies, United Kingdom had one the highest yield on 10-year government bonds at this time with **** percent, while Switzerland had the lowest at **** percent. How does inflation influence the yields of government bonds? Inflation reduces purchasing power over time. Due to this, investors seek higher returns to offset the anticipated decrease in purchasing power resulting from rapid price rises. In countries with high inflation, government bond yields often incorporate investor expectations and risk premiums, resulting in comparatively higher rates offered by these bonds. Why are government bond rates significant? Government bond rates are an important indicator of financial markets, serving as a benchmark for borrowing costs, interest rates, and investor sentiment. They affect the cost of government borrowing, influence the price of various financial instruments, and serve as a reflection of expectations regarding inflation and economic growth. For instance, in financial analysis and investing, people often use the 10-year U.S. government bond rates as a proxy for the longer-term risk-free rate.

Consumer Price Index CPI in the United States increased to 324.80 points in September from 323.98 points in August of 2025. This dataset provides the latest reported value for - United States Consumer Price Index (CPI) - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Context

Real time prices in the diamond market are reflected by the so-called Diamond Financial Index (DFX) which is available on a daily base since April 2018.

As diamond prices are influenced by many factors like trade barriers, political instability, operational disruptions like mine closures or economic downturns resp. upturns, it is not an easy task to predict the development of future diamond prices.

To predict prices, indicators are needed. Empirical findings support the argument that diamond prices respond to economic downturns resp. upturns and are therefore also correlated with inflation rates and interest rates resp. fed rates. Also gold prices could be an indicator for the development of diamond prices.

Because the US are playing quite a big role in the diamond business, the following US rates can be considered:

o inflation rate (10-year breakeven inflation rate) o interest rate (10-year treasury inflation-indexed security, constant maturity, risk-free) o fed rate (effective federal funds rate)

Moreover, gold prices could be considered as an indicator.

Content

The following five datasets have been downloaded from the following websites and merged to one dataset:

o diamond price (DFX): https://www.investing.com/indices/get-diamonds-general o inflation rate: https://fred.stlouisfed.org/series/T10YIE o interest rate: https://fred.stlouisfed.org/series/DFII10 o fed rate: https://fred.stlouisfed.org/series/DFF o gold price: https://www.boerse-online.de/rohstoffe/historisch/goldpreis/usd/

To merge the datasets, date has been used as index. A few missing values in the datasets have been filled in by copying the value from the day before (see file "diamond_data_merged_with_other_variables.csv").

Please note: I added one additional version of the dataset where ID is used as index (not date). Missing values are not filled in in this version (see file "df_diamond_data_merged_with_other_variables.csv"). I would recommend using the dataset "diamond_data_merged_with_other_variables.csv" with date as index.

Inspiration

The following questions could be answered:

o How did diamond prices, inflation rate, interest rate, fed rate and gold price develop since 2018? o How is the correlation between diamond prices and inflation rate, interest rate, fed rate and gold prices? o How will diamond prices develop in the future?

When it comes to price prediction machine learning has been successful in predicting stock market prices through a host of different time series models. There is also a limited but quite restrictive application in predicting cryptocurrency prices. Often neural networks like LSTM (Long Short Term Memory) are used. LSTM oder other models, e.g. ARIMA, could be also used here.

Venture capital (VC) and principal trading have been integral to the start-up ecosystem for many years, providing crucial funding for entrepreneurs and start-ups. The industry has undergone significant changes in recent years, benefiting from rising security prices, increased trading volumes, unprecedented investment opportunities and more merger and acquisition activity. The expanding adoption of technology and artificial intelligence across industries has further heightened demand for venture capital firms. VC and principal trading revenue will climb at a CAGR of 7.7% to $82.7 billion over the five years to 2025, including an expected increase of 4.3% in 2025 alone. Also, industry profit has climbed and will comprise 41.3% of industry revenue in the current year. The stock market has primarily been strong in recent years. Venture capitalists benefit from the high valuation on the exit of IPOs and acquisitions of successful start-up investments, while principal traders who are enjoying the continued appreciation of their assets will see capital gains on their portfolios. A heightened appetite for mergers and acquisitions, driven by a combination of low interest rates and corporate tax cuts early during the period, has also benefited venture capital firms. The jump in interest rates in the middle of the period hindered the number of mergers and acquisitions, but following the interest rate cut in the latter part of the period, merger and acquisition activity is set to climb. In addition, reduced rates will strengthen market liquidity and empower venture capital firms to expand their investments across a broader range of businesses and markets. VC and principal trading will continue evolving in the coming years, driven by technological advancements and economic changes. With the growth of environmental, social and governance (ESG) investing, there will be an increased focus on environmentally and socially responsible start-ups. Interest rate cuts and inflation subsiding will benefit leveraged traders and overall access to capital. In addition, modestly increasing disposable income and maintaining spending on research and development will boost revenue in the coming years, though at a slower rate. In addition, with the growing use of AI, venture capital firms will seek to invest in energy companies such as nuclear energy in order to fuel the energy demand for AI technology and data centers. Overall, venture capital and principal trading revenue will grow at a CAGR of 3.0% to $95.7 billion over the five years to 2030.

In the last five years, the industry has experienced countervailing trends. For most of the period, rising assets under management (AUM) due to rising asset prices and growing disposable income have increased the base of assets on which industry operators charge fees. Increased investor preference for passive asset management, including through exchange-traded funds (ETFs), has driven expenses charged for the management of assets down during the period. Financial markets play an integral role in AUM growth and, consequently, base and performance fees earned by managers. Growth in financial markets was supported by vital macroeconomic variables rising during the majority of the current period, including employment and disposable income levels. Market indices, such as the S&P 500, demonstrated strong growth as these variables increased. In addition, interest rates have climbed significantly over the past five years, which has increased interest income from fixed-income securities such as bonds, although interest rates have been slashed in the latter part of the current period. As interest rates are anticipated to be cut in the current year, investment funds will shift from fixed-income securities into equities. Portfolio management and investment advice revenue has grown at a CAGR of 7.3% to $603.0 billion over the past five years, including a 2.0% rise in 2025 alone. However, profit has fallen slightly to 30.2% of revenue in the same year. Portfolio management and investment advice revenue are expected to climb at a CAGR of 0.3% to $611.3 billion over the five years to 2030. The beginning of the outlook period is expected to be marred by the anticipated rate cuts by the Federal Reserve as inflationary pressures continue to ease. The FED will monitor inflation, employment, potential tariffs and other economic factors before cutting interest rates at the onset of the outlook period. As rates are cut, portfolio managers will increasingly shift capital from fixed-income securities to equity markets. Customer preferences towards low to zero fees will persist, forcing the portfolio management and investment advising industry to change. With the growth of fee-based competition, the industry will encounter downward pressure on profit.

Strong returns in various financial markets and increased trading volumes have benefited businesses in the industry. Companies provide underwriting, brokering and market-making services for different financial instruments, including bonds, stocks and derivatives. Businesses benefited from improving macroeconomic conditions despite the high-interest-rate environment for most of the period due to inflationary pressures. However, the anticipation of interest rate cuts in the current year can limit interest income from fixed-income securities. As interest rates fall, fixed income securities will experience an outflow of capital and equities will experience an inflow of funds. The Fed is monitoring inflation, employment figures and the effects of tariffs along with other economic factors before making rate cut decisions. Overall, revenue has been growing at a CAGR of 8.5% to $491.0 billion over the past five years, including an expected increase of 1.8% in 2025 alone. Industry profit has grown during the same time due to greater interest income from bonds and will comprise 16.2% of revenue in the current year. While many industries struggled at the onset of the period due to economic disruptions stemming from the volatile economic environment and supply chain issues, businesses benefited from the volatility. Primarily, companies have benefited from increased trading activity on behalf of their clients due to fluctuations in asset prices. This has led to higher trade execution fees for firms at the onset of the period. Similarly, debt underwriting increased as many businesses have turned to investment bankers to help raise cash for various ventures. Also, improved scalability of operations, especially regarding trading services conducted by securities intermediaries, has helped increase industry profits. Structural changes have forced the industry's smaller businesses to evolve. Because competing in trading services requires massive investments in technology and compliance, boutique investment banks have alternatively focused on advising in merger and acquisition (M&A) activity. Boutique investment banks' total share of M&A revenue is forecast to grow through the end of 2030. Furthermore, the industry will benefit from improved macroeconomic conditions as inflationary pressures are expected to ease. This will help asset values rise and interest rate levels to be cut, thus allowing operators to generate more from equity underwriting and lending activities. Overall, revenue is forecast to grow at a CAGR of 1.4% to $526.8 billion over the five years to 2030.

In recent years, industry assets have become increasingly integral to institutional investors' portfolios and the larger asset-management market. Institutional investors are individuals or organizations that trade securities in such substantial volumes that they qualify for lower commissions and fewer protective regulations, since it's assumed that they're knowledgeable enough to protect themselves. Increasing demand from institutional investors has contributed to the surge in the industry's assets under management (AUM) and revenue during the current period. In recent years, the industry has continued to enmesh itself more deeply within the broader financial ecosystem despite the challenges posed at the onset of the period. Economic volatility and inflation led to the Fed increasing interest rates substantially throughout the period and fund managers reevaluated and pivoted their investment strategies to navigate the complex economic environment. Higher interest rates have reduced liquidity and increased the shift of capital into fixed-income securities. However, in 2024 and 2025, the Fed cut interest rates and is anticipated to cut rates again which will increase liquidity and drive capital back into equity markets. Overall, over the past five years, industry revenue grew at a CAGR of 4.4% to $313.3 billion, including an increase of 3.6% in 2025 alone. Industry profit has climbed significantly and will comprise 49.6% of revenue in the current year. Industry revenue will grow at a CAGR of 2.1% to $347.0 billion over the five years to 2030. The Federal Reserve is anticipated to cut interest rates as inflationary pressures continue to ease. These declining interest rates will increase liquidity in the markets. Private equity firms and hedge funds will have less difficulty raising capital for investments. As characteristics of the financial system change in light of post-financial crisis banking regulations and regulators' recognition of the importance of hedge funds within the financial system, hedge funds will likely experience heightened oversight.

This dataset contains the monthly nominal yields of 10-year US Treasury bonds, sourced from the Board of Governors of the Federal Reserve System (FRED).

The 10-year Treasury yield is widely regarded as a benchmark for long-term interest rates in the United States. It reflects investor sentiment about economic growth, inflation expectations, and monetary policy. Analysts, economists, and investors often use this indicator to track shifts in the bond market and assess the overall economic outlook.

Why This Matters

• Economic Indicator. Serves as a proxy for long-term borrowing costs.
• Market Benchmark. Affects pricing of mortgages, corporate debt, and other financial instruments.
• Policy Insights. Closely monitored by the Federal Reserve, economists, and policymakers for clues about inflation and growth.

Potential Use Cases

• Time series analysis and forecasting of interest rates.
• Studying the relationship between bond yields, stock markets, and economic cycles.
• Macro-financial research, portfolio risk management, and policy analysis.

The average market risk premium in the United States remained at *** percent in 2025. This suggests that the returns that investors expected for their investrments remained the same as the previous year in that country, in exchange for the risk they are exposed to. This premium has hovered between *** and *** percent since 2011. What causes country-specific risk? Risk to investments come from two main sources. First, inflation causes an asset’s price to decrease in real terms. A 100 U.S. dollar investment with three percent inflation is only worth ** U.S. dollars after one year. Investors are also interested in risks of project failure or non-performing loans. The unique U.S. context Analysts have historically considered the United States Treasury to be risk-free. This view has been shifting, but many advisors continue to use treasury yield rates as a risk-free rate. Given the fact that U.S. government securities are available at a variety of terms, this gives investment managers a range of tools for predicting future market developments.