15
Forecasting ฿itcoin Keiran Thompson

Forecasting Bitcoin with the Datagami API (talk given at PAPIs 2014)

Embed Size (px)

Citation preview

Page 1: Forecasting Bitcoin with the Datagami API (talk given at PAPIs 2014)

Forecasting ฿itcoinKeiran Thompson

Page 2: Forecasting Bitcoin with the Datagami API (talk given at PAPIs 2014)

Why all the fuss about ฿?

Secure digital transactions enable real innovation:

• Very low fees ⟹ remittances 37coins.com

• Micro-payments (฿0.000001 == ฿100)

• Block-chain ⟹ complete traceability of transactionsonename.io

Liquidity remains an issue for non-USD currencies

Page 3: Forecasting Bitcoin with the Datagami API (talk given at PAPIs 2014)

฿/USD

Page 4: Forecasting Bitcoin with the Datagami API (talk given at PAPIs 2014)

฿/USD - log scale

Page 5: Forecasting Bitcoin with the Datagami API (talk given at PAPIs 2014)

฿/USD

Page 6: Forecasting Bitcoin with the Datagami API (talk given at PAPIs 2014)

฿/USD

Page 7: Forecasting Bitcoin with the Datagami API (talk given at PAPIs 2014)

Demo 1 - MojuCoinhttp://mojuze.com/apps_mojucoin.php

Page 8: Forecasting Bitcoin with the Datagami API (talk given at PAPIs 2014)

Does it work?

http://newsoffice.mit.edu/2014/mit-computer-scientists-can-predict-price-bitcoin

Page 9: Forecasting Bitcoin with the Datagami API (talk given at PAPIs 2014)

Gaussian Processes

Page 10: Forecasting Bitcoin with the Datagami API (talk given at PAPIs 2014)

Gaussian Processes

Page 11: Forecasting Bitcoin with the Datagami API (talk given at PAPIs 2014)

Gaussian Processes

Page 12: Forecasting Bitcoin with the Datagami API (talk given at PAPIs 2014)

Gaussian Processes

Page 13: Forecasting Bitcoin with the Datagami API (talk given at PAPIs 2014)

Gaussian Processes

http://www.gaussianprocess.org/gpml/

Page 14: Forecasting Bitcoin with the Datagami API (talk given at PAPIs 2014)

Demo 2 - datagamihttp://datagami.net/api-demo

Page 15: Forecasting Bitcoin with the Datagami API (talk given at PAPIs 2014)

Does it work?

Root Mean Square Error 2.58 USD

Median Absolute Error 1.04 USD

Mean Directional Error 22%