Resources.md

1. Related Github Repos

Poloniex API wrapper (in Python): https://github.com/s4w3d0ff/python-poloniex ML from scratch (in Python): https://github.com/eriklindernoren/ML-From-Scratch

2. Funding contributions

Tom ~ 0.095 BTC

Nico ~ 0 BTC

Raul ~ 0 BTC

3. Blockchain download links

Bitcoin (~100GB): https://bitcointalk.org/index.php?topic=1310261.0

Ethereum (~1.7GB): http://bloopish.com/tools/ethereum/

Gridcoin (~0.7GB): http://download.gridcoin.us/download/downloadstake/signed/

4. Poloniex API documentation

Available at: https://poloniex.com/support/api/

Training feature 1 - https://poloniex.com/public?command=returnTradeHistory&currencyPair=BTC_GRC&start=1410158341&end=1410499372

Training feature 2 - https://poloniex.com/public?command=returnChartData&currencyPair=BTC_XMR&start=1405699200&end=9999999999&period=14400

5. Cryptocurrency traders experiences

High frequency: http://www.coindesk.com/high-frequency-trading-on-the-coinbase-exchange/

Bitcoin only: http://www.wildbunny.co.uk/blog/2014/06/11/algorithmic-trading-with-bitcoin-part-1/

6. Existing Open-Source bots

7. Backtesting resources

Online computing platforms: Google Cloud Compute, Microsoft Azure ...

Tom's Pavillion DV6 (4 core, 6GB RAM)

Online testing platforms: https://cryptotrader.org/

8. Ask the experts

Reddit: https://www.reddit.com/r/BitcoinMarkets/

StackExchange: https://bitcoin.stackexchange.com/

9. Perceptron / Sigmoid neurons

http://scikit-learn.org/stable/modules/generated/sklearn.neural_network.MLPClassifier.html#sklearn.neural_network.MLPClassifier