crypto analytics - part 1

August 16th, 2017

Digital currency trading started making much more sense when I approached it programmatically. Curious about fluctuation detection, I built software to generate notifications triggered from home-grown automation and API integration.

The program monitors market data on each traded coin and calculates results at 5-minute intervals. Gains and losses greater than 10% between intervals are logged and broadcasted. Combined with careful chart analysis and their own techniques, traders can now assess & position themselves more timely than if they had no swing indicators at all, especially when preoccupied by other events.

The system is neither the first of its kind nor foolproof by any means. My intention was simply to help the crypto-community identify strategic market opportunities. Whether or not anyone succeeds at building their own accounts still largely depends on their own methods along with too many other outcome factors to name.

This is only a small part of a larger project, but I’ve established a public Twitter feed generated by some of my automation here for anyone to follow or to test the resulting pump/dump information at their own discretion.

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