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.

S&P 500: A Bull or a Bear?

Financial data:

• 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)

Machine learning features:

• 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)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• 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

Additional Notes:

• 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

View data of the S&P 500, an index of the stocks of 500 leading companies in the US economy, which provides a gauge of the U.S. equity market.

This is not going to be an article or Op-Ed about Michael Jordan. Since 2009 we've been in the longest bull-market in history, that's 11 years and counting. However a few metrics like the stock market P/E, the call to put ratio and of course the Shiller P/E suggest a great crash is coming in-between the levels of 1929 and the dot.com bubble. Mean reversion historically is inevitable and the Fed's printing money experiment could end in disaster for the stock market in late 2021 or 2022. You can read Jeremy Grantham's Last Dance article here. You are likely well aware of Michael Burry's predicament as well. It's easier for you just to skim through two related videos on this topic of a stock market crash. Michael Burry's Warning see this YouTube. Jeremy Grantham's Warning See this YouTube. Typically when there is a major event in the world, there is a crash and then a bear market and a recovery that takes many many months. In March, 2020 that's not what we saw since the Fed did some astonishing things that means a liquidity sloth and the risk of a major inflation event. The pandemic represented the quickest decline of at least 30% in the history of the benchmark S&P 500, but the recovery was not correlated to anything but Fed intervention. Since the pandemic clearly isn't disappearing and many sectors such as travel, business travel, tourism and supply chain disruptions appear significantly disrupted - the so-called economic recovery isn't so great. And there's this little problem at the heart of global capitalism today, the stock market just keeps going up. Crashes and corrections typically occur frequently in a normal market. But the Fed liquidity and irresponsible printing of money is creating a scenario where normal behavior isn't occurring on the markets. According to data provided by market analytics firm Yardeni Research, the benchmark index has undergone 38 declines of at least 10% since the beginning of 1950. Since March, 2020 we've barely seen a down month. September, 2020 was flat-ish. The S&P 500 has more than doubled since those lows. Look at the angle of the curve: The S&P 500 was 735 at the low in 2009, so in this bull market alone it has gone up 6x in valuation. That's not a normal cycle and it could mean we are due for an epic correction. I have to agree with the analysts who claim that the long, long bull market since 2009 has finally matured into a fully-fledged epic bubble. There is a complacency, buy-the dip frenzy and general meme environment to what BigTech can do in such an environment. The weight of Apple, Amazon, Alphabet, Microsoft, Facebook, Nvidia and Tesla together in the S&P and Nasdaq is approach a ridiculous weighting. When these stocks are seen both as growth, value and companies with unbeatable moats the entire dynamics of the stock market begin to break down. Check out FANG during the pandemic. BigTech is Seen as Bullet-Proof me valuations and a hysterical speculative behavior leads to even higher highs, even as 2020 offered many younger people an on-ramp into investing for the first time. Some analysts at JP Morgan are even saying that until retail investors stop charging into stocks, markets probably don’t have too much to worry about. Hedge funds with payment for order flows can predict exactly how these retail investors are behaving and monetize them. PFOF might even have to be banned by the SEC. The risk-on market theoretically just keeps going up until the Fed raises interest rates, which could be in 2023! For some context, we're more than 1.4 years removed from the bear-market bottom of the coronavirus crash and haven't had even a 5% correction in nine months. This is the most over-priced the market has likely ever been. At the night of the dot-com bubble the S&P 500 was only 1,400. Today it is 4,500, not so many years after. Clearly something is not quite right if you look at history and the P/E ratios. A market pumped with liquidity produces higher earnings with historically low interest rates, it's an environment where dangerous things can occur. In late 1997, as the S&P 500 passed its previous 1929 peak of 21x earnings, that seemed like a lot, but nothing compared to today. For some context, the S&P 500 Shiller P/E closed last week at 38.58, which is nearly a two-decade high. It's also well over double the average Shiller P/E of 16.84, dating back 151 years. So the stock market is likely around 2x over-valued. Try to think rationally about what this means for valuations today and your favorite stock prices, what should they be in historical terms? The S&P 500 is up 31% in the past year. It will likely hit 5,000 before a correction given the amount of added liquidity to the system and the QE the Fed is using that's like a huge abuse of MMT, or Modern Monetary Theory. This has also lent to bubbles in the housing market, crypto and even commodities like Gold with long-term global GDP meeting many headwinds in the years ahead due to a...

The Standard & Poor’s (S&P) 500 Index is an index of 500 leading publicly traded companies in the United States. In 2021, the index value closed at 4,766.18 points, which was the second highest value on record despite the economic effects of the global coronavirus (COVID-19) pandemic. In 2023, the index values closed at 4,769.83, the highest value ever recorded. What is the S&P 500? The S&P 500 was established in 1860 and expanded to its present form of 500 stocks in 1957. It tracks the price of stocks on the major stock exchanges in the United States, distilling their performance down to a single number that investors can use as a snapshot of the economy’s performance at a given moment. This snapshot can be explored further. For example, the index can be examined by industry sector, which gives a more detailed illustration of the economy. Other measures Being a stock market index, the S&P 500 only measures equities performance. In addition to other stock market indices, analysts will look to other indicators such as GDP growth, unemployment rates, and projected inflation. Similarly, since these indicators say something about the economic future, stock market investors will use these indicators to speculate on the stocks in the S&P 500.

Poland's CPI inflation rate has been rising steadily since 2018. In 2022, prices of goods and services increased by 11.4 percent y/y. The highest inflation level was recorded during the period of political system transformation. In 1990, the inflation rate was nearly 586 percent. The inflation slowed down in 2024, reaching 3.6 percent.

Inflation Rate in Thailand decreased to 1.08 percent in February from 1.32 percent in January of 2025. This dataset provides the latest reported value for - Thailand Inflation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

United States FRB Dallas: Trimmed Mean PCE Inflation Rate: One Month data was reported at 1.410 % in Sep 2018. This records a decrease from the previous number of 1.660 % for Aug 2018. United States FRB Dallas: Trimmed Mean PCE Inflation Rate: One Month data is updated monthly, averaging 2.430 % from Feb 1977 (Median) to Sep 2018, with 500 observations. The data reached an all-time high of 10.160 % in Feb 1981 and a record low of 0.250 % in Apr 2013. United States FRB Dallas: Trimmed Mean PCE Inflation Rate: One Month data remains active status in CEIC and is reported by Federal Reserve Bank of Dallas. The data is categorized under Global Database’s United States – Table US.I041: Trimmed Mean PCE Inflation Rate.

Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.

In February 2025, based on preliminary figures, consumer prices in Germany increased by 2.3 percent compared to the same month of the previous year. The inflation rate is calculated using the price increase of a product basket defined by the German Federal Statistical Office. This product basket contains services and products, on which the average consumer spends money throughout the year. This includes expenses for groceries, clothes, rent, power, telecommunications, recreational activities and raw materials (i.e. gas, oil), as well as federal fees and taxes.The term inflation means the devaluation of money caused by the increase of the price level of products (consumer goods, investment goods). The Consumer Price Index shows the price trends for private consumption expenses and shows the current inflation level when increasing.

Inflation Rate in Algeria increased to 4.70 percent in January from 4.40 percent in December of 2024. This dataset provides the latest reported value for - Algeria Inflation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Inflation Rate in Morocco increased to 2.60 percent in February from 2 percent in January of 2025. This dataset provides - Morocco Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

In 2022, more than 60 percent of Poles stated that the Family 500+ benefit should be indexed for inflation every year.

Long term historical dataset of the NASDAQ Composite stock market index since 1971. Historical data is inflation-adjusted using the headline CPI and each data point represents the month-end closing value. The current month is updated on an hourly basis with today's latest value.

U.S. stock futures see an uptick as investors evaluate earnings reports and await inflation data. Key stocks like Nvidia and Snowflake show positive activity, while Salesforce experiences a decline.

The inflation rates of various energy commodities in Turkey skyrocketed in 2022 and again in 2024. The annual rate of change of the energy price inflation peaked in June 2022 at 172.9 percent after climbing continuously from late 2020. August 2022 saw energy inflation drop somewhat, though energy prices were still 133 percent higher than they were that same month in the previous year. Gas and electricity price inflation have also seen significant increases in the period of consideration. Gas inflation skyrocketed with an annual rate of change of over 500 percent at the end of 2024.

Graph and download economic data for Consumer Price Index for All Urban Consumers: Purchasing Power of the Consumer Dollar in U.S. City Average (CUUR0000SA0R) from Jan 1913 to Feb 2025 about urban, consumer, CPI, inflation, price index, indexes, price, and USA.

Inflation Rate in South Sudan increased to 112.60 percent in October from 107.90 percent in September of 2024. This dataset provides - South Sudan Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Gold breaks new records above $3,000, driven by market uncertainties. Insights into future trends and key price levels are discussed, with a forecasted target of $3,365.

Russia Consumer Price Index (CPI): Same Mth PY=100: Medicines: Azithromycin, 500 mg data was reported at 103.120 Same Mth PY=100 in Dec 2024. This records a decrease from the previous number of 104.260 Same Mth PY=100 for Nov 2024. Russia Consumer Price Index (CPI): Same Mth PY=100: Medicines: Azithromycin, 500 mg data is updated monthly, averaging 99.195 Same Mth PY=100 from Jan 2021 (Median) to Dec 2024, with 48 observations. The data reached an all-time high of 107.230 Same Mth PY=100 in Jan 2021 and a record low of 93.340 Same Mth PY=100 in Mar 2023. Russia Consumer Price Index (CPI): Same Mth PY=100: Medicines: Azithromycin, 500 mg data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Inflation – Table RU.IA015: Consumer Price Index: Same Month Previous Year=100: Non Food.

Russia Consumer Price Index (CPI): Prev Dec=100: Medicines: Azithromycin, 500 mg data was reported at 103.120 Prev Dec=100 in Dec 2024. This records a decrease from the previous number of 103.360 Prev Dec=100 for Nov 2024. Russia Consumer Price Index (CPI): Prev Dec=100: Medicines: Azithromycin, 500 mg data is updated monthly, averaging 99.480 Prev Dec=100 from Jan 2021 (Median) to Dec 2024, with 48 observations. The data reached an all-time high of 103.360 Prev Dec=100 in Nov 2024 and a record low of 95.520 Prev Dec=100 in Dec 2021. Russia Consumer Price Index (CPI): Prev Dec=100: Medicines: Azithromycin, 500 mg data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Inflation – Table RU.IA019: Consumer Price Index: Previous December=100: Non Food.