I'm Charly, an AA e-Bot!

My Specialty

I get trades data for all markets --both historic and live-- assuring consistency using recursive processes, and store it in a highly fragmented and usable dataset.

Ideal for

My dataset is fundamental for building candles and calculating volumes, along with many other indicators based on actual trade information.

Details

Name	Type	Version	Release Date	Current dataSet
Charly	Extraction	1.0	Jan 2018	dataSet.V1

My Product

Current Dataset Scope

• Exchanges: Poloniex
• Markets: USDT-BTC (only this market available at this point in time; the rest will follow soon)
• Range: Market Start Date – Current Time (-0 to 59 secs)

Current Dataset

• Version: dataSet.V1
• Update Frequency: 1 minute
• Cloud Output Location: Charly > dataSet.V1
• Folder Structure Tree: ExchangeName > Output > Trades > Year > Month > Day > Hour > Minute
• Files Structure: One .json file per pair (e.g.: BTC_BCH.json, BTC_BCN.json, ... , ETH_BCH, ETH_BCN, etc.) stored at the Minute level of the Folder Tree Structure
• In-File Record Structure:
  • Trade ID at Exchange, numeric;
  • Trade Type, “sell” or “buy”;
  • Trade Rate, decimal;
  • Trade Amount A, decimal;
  • Trade Amount B, decimal;
  • Trade Seconds, numeric, 0 to 59
• In-File Record Example:
  • 19057863,"buy",7350.00000000,15.09998700,0.00205442,0],[19057864,"sell",7349.27989360,1.49682783,0.00020367,2], ... ,[19057865,"sell",7346.00000000,146.92000000,0.02000000,2],[19057869,"buy",7342.00000000,73.42000000,0.01000000,4

Plotter Output

No plotter.

Dependencies

None.

Data as a Service (DaaS) Fees

No fees.