As a follow up to our article where we demonstrate how to download Coinbase historical
price data via their API in Python, this short script will allow you to do the same thing but in R. This was requested by some of our users
as an alternative to Python; and there are not many R scripts freely available out there for things like this. (*As with before, please follow
the Coinbase market data policy and only use for personal use*).
Effectively this is what this script is doing:
1. Reset global variables and import the libraries we are going to use
2. Create a function that accepts a crypto Pair and filename as arguments
3. Call the Coinbase API for Daily granularity and rename the columns to correct values
4. Write a CSV file based on the filename/path chosen
This script is extremely simple, and hopefully beneficial in your cryptocurrency analysis
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THE PERFORMANCE OF TRADING SYSTEMS IS BASED ON THE USE OF COMPUTERIZED SYSTEM LOGIC. IT IS HYPOTHETICAL.
PLEASE NOTE THE FOLLOWING DISCLAIMER.
CFTC RULE 4.41: HYPOTHETICAL OR SIMULATED PERFORMANCE RESULTS HAVE CERTAIN LIMITATIONS. UNLIKE AN ACTUAL
PERFORMANCE RECORD, SIMULATED RESULTS DO NOT REPRESENT ACTUAL TRADING. ALSO, SINCE THE TRADES HAVE NOT BEEN
EXECUTED, THE RESULTS MAY HAVE UNDER-OR-OVER COMPENSATED FOR THE IMPACT, IF ANY, OF CERTAIN MARKET FACTORS,
SUCH AS LACK OF LIQUIDITY. SIMULATED TRADING PROGRAMS IN GENERAL ARE ALSO SUBJECT TO THE FACT THAT THEY ARE
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TRADING COMMISSION. FUTURES AND OPTIONS TRADING HAS LARGE POTENTIAL REWARDS, BUT ALSO LARGE POTENTIAL RISK.
YOU MUST BE AWARE OF THE RISKS AND BE WILLING TO ACCEPT THEM IN ORDER TO INVEST IN THE FUTURES AND OPTIONS MARKETS.
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