Name: Economic Calendar Invest Forex Https://t.me/econos
Creator: Kaggle
License: http://opendatacommons.org/licenses/dbcl/1.0/

About this Dataset

Economic Calendar Invest Forex Https://t.me/econos

Introduction

Explore the archive of relevant economic information: relevant news on all indicators with explanations, data on past publications on the economy of the United States, Britain, Japan and other developed countries, volatility assessments and much more. For the construction of their forecast models, the use of in-depth training is optimal, with a learning model built on the basis of EU and Forex data.
The economic calendar is an indispensable assistant for the trader.

ON THIS TOPIC
Telegram : @Economic Calendar Investing Forex
https://t.me/economic_calendar_forex_invest
This channel will wake you up 5 minutes before important events of high volatility, as well as inform you of current data for monitoring from the investing economic calendar

Data set

The data set is created in the form of an CSV, Excel spreadsheet (two files 2011-2013, 2014-2019), which can be found at boot time. You can see the source of the data on the site https://www.investing.com/economic-calendar/

column - Event date
column - Event time (time New York)
column - Country of the event
column - The degree of volatility (possible fluctuations in currency, indices, etc.) caused by this event
column - Description of the event
column - Evaluation of the event according to the actual data, which came out better than the forecast, worse or correspond to it
column - Data format (%, K x103, M x106, T x109)
column - Actual event data
column - Event forecast data
column - Previous data on this event (with comments if there were any interim changes).

Inspiration

Use the historical EU in conjunction with the Forex data (exchange rates, indices, metals, oil, stocks) to forecast subsequent Forex data in order to minimize investment risks (combine fundamental market analysis and technical).
Historical events of the EU used as a forecast of the subsequent (for example, the calculation of the probability of an increase in the rate of the Fed).
Investigate the impact of combinations of EC events on the degree of market volatility at different time periods.
To trace the main trends in the economies of the leading countries (for example, a decrease in the demand for unemployment benefits).
Use the EU calendar together with the news background archive for this time interval for a more accurate forecast.

Tables

D2011–13

@kaggle.devorvant_economic_calendar.d2011_13

327.7 kB
28,923 rows
10 columns

CREATE TABLE d2011_13 (
  "n_2011_01_01" TIMESTAMP  -- 2011/01/01,
  "n_4_00_00" VARCHAR  -- 4:00:00,
  "united_kingdom" VARCHAR,
  "low_volatility_expected" VARCHAR,
  "average_earnings_ex_bonus" VARCHAR,
  "unnamed_5" VARCHAR  -- Unnamed: 5,
  "n" VARCHAR  -- %,
  "n_2_2" VARCHAR  -- 2.2,
  "unnamed_8" VARCHAR  -- Unnamed: 8,
  "n_2_3" VARCHAR  -- 2.3
);

D2014–18

@kaggle.devorvant_economic_calendar.d2014_18

750.25 kB
60,313 rows
10 columns

CREATE TABLE d2014_18 (
  "n_2014_01_01" TIMESTAMP  -- 2014/01/01,
  "n_4_00_00" VARCHAR  -- 4:00:00,
  "united_kingdom" VARCHAR,
  "low_volatility_expected" VARCHAR,
  "public_sector_net_cash_requirement" VARCHAR,
  "unnamed_5" VARCHAR  -- Unnamed: 5,
  "b" VARCHAR,
  "n_16_28" VARCHAR  -- 16.28,
  "n_1" VARCHAR  -- 1,
  "n_8_1" VARCHAR  -- 8.1
);

D2019–21

@kaggle.devorvant_economic_calendar.d2019_21

398.89 kB
32,419 rows
10 columns

CREATE TABLE d2019_21 (
  "n_2019_01_01" TIMESTAMP  -- 2019/01/01,
  "n_19_00_00" VARCHAR  -- 19:00:00,
  "singapore" VARCHAR,
  "low_volatility_expected" VARCHAR,
  "gdp" VARCHAR,
  "worse_than_expected" VARCHAR,
  "n" VARCHAR  -- %,
  "n_1_6" DOUBLE  -- 1.6,
  "n_2_9" DOUBLE  -- 2.9,
  "evised_from_3_0" VARCHAR
);