Name: Crypto Trading And Technical Indicators
Creator: Kaggle
License: https://creativecommons.org/publicdomain/zero/1.0/

About this Dataset

Crypto Trading And Technical Indicators

Crypto Trading and Technical Indicators

Understanding the Market Dynamics of 600 Popular Cryptocurrencies

By [source]

About this dataset

This dataset provides an unprecedented overview of the crypto industry, offering comprehensive market analysis of more than 600 well-known cryptocurrencies. The data contained in this dataset is extremely up-to-date, ranging from trading statuses, price movements and volatility levels to technical indicators and market capitalization. Perfect for those interested in cryptocurrency trading, technical analysis or investing, this data can be used to facilitate informed decisions and fulfill respective requirements.
The 35 columns present in this dataset enable users to gain a greater understanding into price movements and distinguish between various levels of volatility. It also allows users to analyze oscillator ratings for each crypto asset listed within for accurate risk management. Banks, investors, data analysts as well as crypto exchanges could all benefit from utilizing this powerful dataset; its ability to provide a top level summary into the entire crypto industry has earned it a valuable place among the cryptocurrency community worldwide

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How to use the dataset

This dataset provides comprehensive market analysis of more than 600 popular cryptocurrencies, including trading prices, volatility, technical indicators, and market capitalization. In this guide, we'll cover what kind of information you can obtain from the dataset, how to use it effectively to gain insight into the crypto industry, and how to analyze the results in order to make informed decisions regarding cryptocurrency trading.

The dataset consists of 35 columns that are divided into two main categories: Market Information and Technical Indicators. The Market Information section contains data about each cryptocurrency's price performance – including change percentages for 1 week/1 month/3 months/6 months/1 year – as well as its fully diluted market capitalization (FD Mkt Cap), traded volume (Traded Vol), last trading price in USD (Last_y), available coins (Avail Coins), total coins created with a max supply(Total Coins) and its respective rating out of 5 stars by moving averages(Moving Averages Rating). The Technical Indicators section includes data pertaining to oscillator ratings (Oscillators Rating) such as Average Directional Index (ADX), Awesome Oscillator(AO), Average True Range(ATR) , Commodity Channel Index20(CCI20) etc., moving averages such as Simple Moving Average 20 days /50 days / 200 days (SMA20/ SMA50 / SMA200) , Bollinger Bands upper & lower limit lines comprised of standard deviations known as BB Up & BB Low respectively , Momentum(MOM ), Relative Strength Index14 day time frame indicator denoted by RSI14 , Macd level & signal line along with Stochitic %K &%D indicators.

With all that knowledge now let’s take a look at some tips on how you can analyse this data effectively. For example: finding safety ranks based on volatility scores or locatingcryptocurrencies whose MACD line has recently crossed over its signal line thus giving buy signals or vice versa giving sell signals also mining through various time frames using multiple technical indicators like ADX +CCI20+RSI14 etc can help spot potential trends which may be indicative for a particular currency . Also moving averages assessments over several time periods might be useful for calculating trend based values in order for possible bullish or bearish orientations . Furthermore when examining long term trends across multiple currencies it might be suitable carry out simple comparisons between certain columns from one currency against

Research Ideas

Utilizing the price movements and technical indicators, investors can analyze the different crypto industry trends and develop strategies to apply them in their portfolios.

Governmental institutions and banks can use this dataset to monitor the industry’s activity from country to country, helping create regulatory policies when necessary.

Crypto exchanges can design algorithms based on this data set which will assist with detecting any manipulation or malicious activities in trades occurring in their platform

Acknowledgements

If you use this dataset in your research, please credit the original authors.
Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: 11_04_2022_cryptos.csv

Column name	Description
Name	The name of the cryptocurrency. (String)
Chg %_x	The percentage change in the price of the cryptocurrency over the past x days. (Float)
1W CHG %	The percentage change in the price of the cryptocurrency over the past week. (Float)
1M CHG %	The percentage change in the price of the cryptocurrency over the past month. (Float)
3-Month Perf	The performance of the cryptocurrency over the past 3 months. (Float)
6-Month Perf	The performance of the cryptocurrency over the past 6 months. (Float)
YTD Perf	The performance of the cryptocurrency year-to-date. (Float)
Yearly Perf	The performance of the cryptocurrency over the past year. (Float)
Volatility	The volatility of the cryptocurrency. (Float)
Oscillators Rating	The rating of the cryptocurrency based on oscillator indicators. (Float)
ADX	The Average Directional Index of the cryptocurrency. (Float)
AO	The Awesome Oscillator of the cryptocurrency. (Float)
ATR	The Average True Range of the cryptocurrency. (Float)
CCI20	The Commodity Channel Index of the cryptocurrency. (Float)
MACD Level	The Moving Average Convergence Divergence of the cryptocurrency. (Float)
MACD Signal	The signal line of the Moving Average Convergence Divergence of the cryptocurrency. (Float)
MOM	The Momentum of the cryptocurrency. (Float)
RSI14	The Relative Strength Index of the cryptocurrency. (Float)
Stoch %K	The Stochastic Oscillator %K of the cryptocurrency. (Float)
Stoch %D	The Stochastic Oscillator %D of the cryptocurrency. (Float)
Mkt Cap	The market capitalization of the cryptocurrency. (Float)
FD Mkt Cap	The fully diluted market capitalization of the cryptocurrency. (Float)
Last_y	The last price of the cryptocurrency. (Float)
Avail Coins	The available coins of the cryptocurrency

Acknowledgements

If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit .

Tables

N 11–04–2022 Cryptos

@kaggle.thedevastator_crypto_trading_and_technical_indicators.n_11_04_2022_cryptos

179.31 kB
614 rows
34 columns

CREATE TABLE n_11_04_2022_cryptos (
  "name" VARCHAR,
  "chg_x" VARCHAR  -- Chg % X,
  "n_1w_chg" VARCHAR  -- 1W CHG %,
  "n_1m_chg" VARCHAR  -- 1M CHG %,
  "n_3_month_perf" VARCHAR  -- 3-Month Perf,
  "n_6_month_perf" VARCHAR  -- 6-Month Perf,
  "ytd_perf" VARCHAR,
  "yearly_perf" VARCHAR,
  "volatility" VARCHAR,
  "oscillators_rating" VARCHAR,
  "adx" VARCHAR,
  "ao" VARCHAR,
  "atr" VARCHAR,
  "cci20" VARCHAR,
  "macd_level" VARCHAR,
  "macd_signal" VARCHAR,
  "mom" VARCHAR,
  "rsi14" VARCHAR,
  "stoch_k" VARCHAR  -- Stoch %K,
  "stoch_d" VARCHAR  -- Stoch %D,
  "moving_averages_rating" VARCHAR,
  "last_x" DOUBLE,
  "sma20" VARCHAR,
  "sma50" VARCHAR,
  "sma200" VARCHAR,
  "bb_up" VARCHAR,
  "bb_low" VARCHAR,
  "mkt_cap" VARCHAR,
  "fd_mkt_cap" VARCHAR,
  "last_y" DOUBLE,
  "avail_coins" VARCHAR,
  "total_coins" VARCHAR,
  "traded_vol" VARCHAR,
  "chg_y" VARCHAR  -- Chg % Y
);