Graph and download economic data for Import Price Index (End Use): Coins, Gems, Jewelry, and Collectibles (IR413) from Dec 1984 to Jun 2025 about coins, jewelry, end use, imports, price index, indexes, price, and USA.

Analysis of ‘Crypto Fear and Greed Index’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/adelsondias/crypto-fear-and-greed-index on 13 February 2022.

--- Dataset description provided by original source is as follows ---

Crypto Fear and Greed Index

Each day, the website https://alternative.me/crypto/fear-and-greed-index/ publishes this index based on analysis of emotions and sentiments from different sources crunched into one simple number: The Fear & Greed Index for Bitcoin and other large cryptocurrencies.

Why Measure Fear and Greed?

The crypto market behaviour is very emotional. People tend to get greedy when the market is rising which results in FOMO (Fear of missing out). Also, people often sell their coins in irrational reaction of seeing red numbers. With our Fear and Greed Index, we try to save you from your own emotional overreactions. There are two simple assumptions:

• Extreme fear can be a sign that investors are too worried. That could be a buying opportunity.
• When Investors are getting too greedy, that means the market is due for a correction.

Therefore, we analyze the current sentiment of the Bitcoin market and crunch the numbers into a simple meter from 0 to 100. Zero means "Extreme Fear", while 100 means "Extreme Greed". See below for further information on our data sources.

Data Sources

We are gathering data from the five following sources. Each data point is valued the same as the day before in order to visualize a meaningful progress in sentiment change of the crypto market.

First of all, the current index is for bitcoin only (we offer separate indices for large alt coins soon), because a big part of it is the volatility of the coin price.

But let’s list all the different factors we’re including in the current index:

Volatility (25 %)

We’re measuring the current volatility and max. drawdowns of bitcoin and compare it with the corresponding average values of the last 30 days and 90 days. We argue that an unusual rise in volatility is a sign of a fearful market.

Market Momentum/Volume (25%)

Also, we’re measuring the current volume and market momentum (again in comparison with the last 30/90 day average values) and put those two values together. Generally, when we see high buying volumes in a positive market on a daily basis, we conclude that the market acts overly greedy / too bullish.

Social Media (15%)

While our reddit sentiment analysis is still not in the live index (we’re still experimenting some market-related key words in the text processing algorithm), our twitter analysis is running. There, we gather and count posts on various hashtags for each coin (publicly, we show only those for Bitcoin) and check how fast and how many interactions they receive in certain time frames). A unusual high interaction rate results in a grown public interest in the coin and in our eyes, corresponds to a greedy market behaviour.

Surveys (15%) currently paused

Together with strawpoll.com (disclaimer: we own this site, too), quite a large public polling platform, we’re conducting weekly crypto polls and ask people how they see the market. Usually, we’re seeing 2,000 - 3,000 votes on each poll, so we do get a picture of the sentiment of a group of crypto investors. We don’t give those results too much attention, but it was quite useful in the beginning of our studies. You can see some recent results here.

Dominance (10%)

The dominance of a coin resembles the market cap share of the whole crypto market. Especially for Bitcoin, we think that a rise in Bitcoin dominance is caused by a fear of (and thus a reduction of) too speculative alt-coin investments, since Bitcoin is becoming more and more the safe haven of crypto. On the other side, when Bitcoin dominance shrinks, people are getting more greedy by investing in more risky alt-coins, dreaming of their chance in next big bull run. Anyhow, analyzing the dominance for a coin other than Bitcoin, you could argue the other way round, since more interest in an alt-coin may conclude a bullish/greedy behaviour for that specific coin.

Trends (10%)

We pull Google Trends data for various Bitcoin related search queries and crunch those numbers, especially the change of search volumes as well as recommended other currently popular searches. For example, if you check Google Trends for "Bitcoin", you can’t get much information from the search volume. But currently, you can see that there is currently a +1,550% rise of the query „bitcoin price manipulation“ in the box of related search queries (as of 05/29/2018). This is clearly a sign of fear in the market, and we use that for our index.

There's a story behind every dataset and here's your opportunity to share yours.

Copyright disclaimer

This dataset is produced and maintained by the administrators of https://alternative.me/crypto/fear-and-greed-index/.

This published version is an unofficial copy of their data, which can be also collected using their API (e.g., GET https://api.alternative.me/fng/?limit=10&format=csv&date_format=us).

--- Original source retains full ownership of the source dataset ---

United States - Import Price Index (End Use): Coins, Gems, Jewelry, and Collectibles was 334.80000 Index 2000=100 in May of 2025, according to the United States Federal Reserve. Historically, United States - Import Price Index (End Use): Coins, Gems, Jewelry, and Collectibles reached a record high of 334.80000 in May of 2025 and a record low of 64.50000 in March of 1985. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Import Price Index (End Use): Coins, Gems, Jewelry, and Collectibles - last updated from the United States Federal Reserve on July of 2025.

The price of the cryptocurrency based on the famous internet meme broke its price decline in early November 2022 - as people started buying the coin after FTX's collapse. This rally only lasted for a few days, however, as a Dogecoin was worth roughly 0.2 U.S. dollars on July 15, 2025. This is a different development than in 2021 - when the crypto became very popular in a short amount of time. Between January 28 and January 29, 2021, Dogecoin's value grew by around 216 percent to 0.023535 U.S. dollars after comments from Tesla CEO Elon Musk. The digital coin quickly grew to become the most talked-about cryptocurrency available: not necessarily for its price - the prices of Bitcoin (BTC), Ethereum (ETH), Ripple (XRP) and several other virtual currencies were much higher than that of DOGE - but for its growth.

Graph and download economic data for Import Price Index (Harmonized System): Natural or Cultured Pearls, Precious or Semi-Precious Stones, Precious Metals, Metals Clad with Precious Metal and Articles Thereof; Imitation Jewelry; Coin (IPXIV) from Dec 1992 to Jun 2025 about precious metals, coins, jewelry, harmonized, imports, metals, price index, indexes, price, and USA.

The price of the native coin from BNB Chain (formerly BSC) grew by 50 percent in late 2021 but was much lower in 2022. In July 15, 2025, for example, a single BNB coin was worth more than 689.32 U.S. dollars - a value that very different to the all-time high of 600 U.S. dollars in November 2021. Regardless, Binance Coin ranked in the top 10 most expensive cryptocurrencies in 2022. Noticeable is that the price increase of BNB in November 2021 coincides with a similar price change for Ethereum (ETH) - a cryptocurrency where BNB initially originated in 2017 before coming on its own years later.BNB's history: From reward token in 2017 to an ecosystem after 2019As the name suggests, Binance Coin or BNB originally started as an extension of the Binance.com trading platform - the most used cryptocurrency exchange in the world. It initially functioned on the Ethereum blockchain network as an ERC-20 token, offering incentives to owners like reduced trading fees, affiliate rewards, or a lottery ticket system ('Launchpad') that let users invest in new, Binance-selected crypto projects. In 2019, however, BNB moved away from the Ethereum network and migrated to Binance's self-developed blockchain: Binance Smart Chain or BSC (called BNB Chain since February 2022). Here, BNB started to support a chain that initially did not focus on hosting decentralized apps but focused on high transaction speed and being able to handle large amounts of traffic.DeFi and GameFi: the main segments for BNBBSC, however, made significant strides in 2021 partly due to traffic overload and high gas prices on Ethereum as well as the growing interest in both Decentralized Finance (DeFI) and NFTs. Much like Cardano, Solana, and Terra, Binance Smart Chain consequently became a valid alternative to Ethereum: The total value locked (TVL) of BNBs blockchain within DeFi, for example, ranked only behind that of Terra and Ethereum in early 2022. Another area where Binance's blockchain and token play a significant role is that of GameFi - or 'play-to-earn' blockchain games that are powered by cryptocurrencies. Some of the more well-known and most popular NFT games like Alien Worlds and Axie Infinity run on the blockchain behind BNB.

United States - Producer Price Index by Commodity for Machinery and Equipment: Coin-Operated Amusement Machines was 146.80000 Index Dec 1985=100 in January of 2018, according to the United States Federal Reserve. Historically, United States - Producer Price Index by Commodity for Machinery and Equipment: Coin-Operated Amusement Machines reached a record high of 208.90000 in December of 2008 and a record low of 126.70000 in April of 2001. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Producer Price Index by Commodity for Machinery and Equipment: Coin-Operated Amusement Machines - last updated from the United States Federal Reserve on June of 2025.

Bitcoin (BTC) price again reached an all-time high in 2024, as values exceeded over 73,000 USD in March 2024. That particular price hike was connected to the approval of Bitcoin ETFs in the United States, whilst previous hikes in 2021 were due to events involving Tesla and Coinbase, respectively. Tesla's announcement in March 2021 that it had acquired 1.5 billion U.S. dollars' worth of the digital coin, for example, as well as the IPO of the U.S.' biggest crypto exchange fueled mass interest. The market was noticably different by the end of 2022, however, with Bitcoin prices reaching roughly 119,833.67 as of July 15, 2025 after another crypto exchange, FTX, filed for bankruptcy.Is the world running out of Bitcoin?Unlike fiat currency like the U.S. dollar - as the Federal Reserve can simply decide to print more banknotes - Bitcoin's supply is finite: BTC has a maximum supply embedded in its design, of which roughly 89 percent had been reached in April 2021. It is believed that Bitcoin will run out by 2040, despite more powerful mining equipment. This is because mining becomes exponentially more difficult and power-hungry every four years, a part of Bitcoin's original design. Because of this, a Bitcoin mining transaction could equal the energy consumption of a small country in 2021.Bitcoin's price outlook: a potential bubble?Cryptocurrencies have few metrices available that allow for forecasting, if only because it is rumored that only few cryptocurrency holders own a large portion of available supply. These large holders - referred to as 'whales' - are said to make up of two percent of anonymous ownership accounts, whilst owning roughly 92 percent of BTC. On top of this, most people who use cryptocurrency-related services worldwide are retail clients rather than institutional investors. This means outlooks on whether Bitcoin prices will fall or grow are difficult to measure, as movements from one large whale already having a significant impact on this market.

Import Price Index: Weights: PS: Pearl, Prcs Stne/Mtl, Jwlry & Coin data was reported at 3.529 % in Feb 2025. This records an increase from the previous number of 3.380 % for Jan 2025. Import Price Index: Weights: PS: Pearl, Prcs Stne/Mtl, Jwlry & Coin data is updated monthly, averaging 3.284 % from Jan 2024 (Median) to Feb 2025, with 14 observations. The data reached an all-time high of 3.556 % in Nov 2024 and a record low of 3.029 % in Feb 2024. Import Price Index: Weights: PS: Pearl, Prcs Stne/Mtl, Jwlry & Coin data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.JA238: Import Price Index: by Harmonized Index: Weights.

China Trade Index: YoY: Unit Value: Export SITC3: Coin (Other than Gold Coin), not Being Legal Tender data was reported at 84.500 Prev Year=100 in Feb 2025. This records a decrease from the previous number of 148.346 Prev Year=100 for Sep 2024. China Trade Index: YoY: Unit Value: Export SITC3: Coin (Other than Gold Coin), not Being Legal Tender data is updated monthly, averaging 99.408 Prev Year=100 from Feb 2018 (Median) to Feb 2025, with 29 observations. The data reached an all-time high of 178.300 Prev Year=100 in Dec 2021 and a record low of 57.701 Prev Year=100 in Apr 2022. China Trade Index: YoY: Unit Value: Export SITC3: Coin (Other than Gold Coin), not Being Legal Tender data remains active status in CEIC and is reported by General Administration of Customs. The data is categorized under China Premium Database’s International Trade – Table CN.JE: Unit Value Index: YoY: SITC3 Classification.

United States Export Price Index: Pearls, Stones, Precious Metals, Jewelry & Coins data was reported at 230.400 2000=100 in Sep 2018. This records a decrease from the previous number of 232.000 2000=100 for Aug 2018. United States Export Price Index: Pearls, Stones, Precious Metals, Jewelry & Coins data is updated monthly, averaging 113.950 2000=100 from Dec 1992 (Median) to Sep 2018, with 310 observations. The data reached an all-time high of 304.700 2000=100 in Sep 2011 and a record low of 82.700 2000=100 in Nov 2001. United States Export Price Index: Pearls, Stones, Precious Metals, Jewelry & Coins data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.I030: Import and Export Price Index: 2000=100: By Harmonized Index.

These data are used for training, testing, and evaluating the CycleGAN project related to coin reconstructions. Data are used to train the given CycleGAN model and coins are used to evaluate the model both internally, computationally, and by other users.Training_Data.zip: This file provides training data obtained used to train the CycleGAN. There is a training folder which contains two folders (badPNG and goodPNG). The goodPNG folder contains coins that are well preserved and used to train what a coin should look like. The badPNG folder contains damaged coins and attempts to train to reconstruct from these coins. There are two metadata files (bad coins metadata and good coin metadata) provide information about the coins and where they are found through the links provided in the files. These files correspond to the well preserved coins (good coin data) and poorly preserved coins (bad coins) used for reconstruction.testing_result_images.zip: These are image data used to test the developed CycleGAN model. The images folder contains the testing data. An index file (HTML) indicates the coins present. The index and images indicate real (i.e., the real coins used in reconstruction) and fake (i.e., reconstructed or GAN-derived coins).CoinsEvaluation.pdf: This file is used by testers to evaluate if they think given reconstructed coins shows improved quality or not from the real coin. The users are asked to evaluate coins on a 1-5 scale, with 1 indicating no difference and 5 indicating much improved reconstructions. testCoinReconstruction.zip: This folder contains real and fake (i.e., reconstructed coins) that is used to ask judges or users to determine if they can tell if a given coin is real or reconstructed (i.e., fake). In addition to the real and reconstructed coins, a pdf (Real_or_Fake.pdf) is used to ask judges to determine which given coins are real and which are generated reconstructions.finalModel.zip: This is the final CycleGAN model used for reconstructions applied in the paper.

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.

Coinbase's Climb: Can it Maintain Momentum? (COIN)

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

United States Export Price Index: Weights: PS: Pearl, Prcs Stne/Metal; Jwlry, Coin data was reported at 4.825 % in Feb 2025. This records an increase from the previous number of 4.595 % for Jan 2025. United States Export Price Index: Weights: PS: Pearl, Prcs Stne/Metal; Jwlry, Coin data is updated monthly, averaging 5.116 % from Jan 2024 (Median) to Feb 2025, with 14 observations. The data reached an all-time high of 5.716 % in Nov 2024 and a record low of 4.595 % in Jan 2025. United States Export Price Index: Weights: PS: Pearl, Prcs Stne/Metal; Jwlry, Coin data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.JA117: Export Price Index: by Harmonized Index: Weights.

China EVI: SITC: Mfg: TU: non Official Coin, excl Gold coin data was reported at 17,337.000 Prev Year=100 in Feb 2018. This records an increase from the previous number of 75.300 Prev Year=100 for Oct 2008. China EVI: SITC: Mfg: TU: non Official Coin, excl Gold coin data is updated monthly, averaging 108.200 Prev Year=100 from Feb 2005 (Median) to Feb 2018, with 23 observations. The data reached an all-time high of 17,337.000 Prev Year=100 in Feb 2018 and a record low of 0.500 Prev Year=100 in Nov 2005. China EVI: SITC: Mfg: TU: non Official Coin, excl Gold coin data remains active status in CEIC and is reported by General Administration of Customs. The data is categorized under China Premium Database’s International Trade – Table CN.JE: Trade Value Index: SITC Classification.

IP: PS: Ntrl/Cltrd Pearl, Prcs/Semiprcs Stone, Imtn Jwlry, Coin (NC) data was reported at 121.900 Dec2023=100 in Mar 2025. This records an increase from the previous number of 119.600 Dec2023=100 for Feb 2025. IP: PS: Ntrl/Cltrd Pearl, Prcs/Semiprcs Stone, Imtn Jwlry, Coin (NC) data is updated monthly, averaging 109.350 Dec2023=100 from Dec 2023 (Median) to Mar 2025, with 16 observations. The data reached an all-time high of 121.900 Dec2023=100 in Mar 2025 and a record low of 99.400 Dec2023=100 in Feb 2024. IP: PS: Ntrl/Cltrd Pearl, Prcs/Semiprcs Stone, Imtn Jwlry, Coin (NC) data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.JA237: Import Price Index: by Harmonized Index.

Graph and download economic data for Producer Price Index by Industry: Primary Battery Manufacturing: Round, Prismatic, Button and Coin Primary Battery Cells, Including Parts (DISCONTINUED) (PCU33591233591204) from Jun 2003 to Nov 2017 about coins, primary, parts, manufacturing, PPI, industry, inflation, price index, indexes, price, and USA.

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.

Will the S&P Bitcoin Index Revolutionize Cryptocurrency?

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

United States - Producer Price Index by Industry: All Other Miscellaneous Manufacturing: Coin-Operated Amusement Machines, Excluding Jukeboxes was 147.10000 Index Dec 1985=100 in January of 2018, according to the United States Federal Reserve. Historically, United States - Producer Price Index by Industry: All Other Miscellaneous Manufacturing: Coin-Operated Amusement Machines, Excluding Jukeboxes reached a record high of 148.00000 in September of 2012 and a record low of 100.00000 in January of 1986. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Producer Price Index by Industry: All Other Miscellaneous Manufacturing: Coin-Operated Amusement Machines, Excluding Jukeboxes - last updated from the United States Federal Reserve on June of 2025.

China EUVI: SITC: Mfg: TU: non Official Coin, excl Gold coin data was reported at 127.900 Prev Year=100 in Sep 2018. This records an increase from the previous number of 86.600 Prev Year=100 for Jun 2018. China EUVI: SITC: Mfg: TU: non Official Coin, excl Gold coin data is updated monthly, averaging 104.450 Prev Year=100 from Feb 2005 (Median) to Sep 2018, with 26 observations. The data reached an all-time high of 176.400 Prev Year=100 in Jun 2005 and a record low of 51.200 Prev Year=100 in Oct 2005. China EUVI: SITC: Mfg: TU: non Official Coin, excl Gold coin data remains active status in CEIC and is reported by General Administration of Customs. The data is categorized under China Premium Database’s International Trade – Table CN.JE: Unit Value Index: SITC Classification.