NEO/USD 15m Bitfinex follows Bittrex
My Strategy-Script (and the associated Study) CryptoArbitrageDivergenceStrategy looks for Price-Anomalies/ Divergences between Crypto-Exchanges.
I started to compare price-action of NEO/USD on different exchanges and found out that the price on Bitfinex seems to follow the price on Bittrex.
At the time of this writing NEO/USD had a 24h volume of a little more that 8 million USD, while the volume on Bittrex was more that 24 million USD. As as side note: the total volume of Bitfinex is much higher than Bittrex (708 vs 371 million).
When price on Bittrex is rising for at least 3 candles in a row, while it is falling on Bitfinex - probablility is high that the price on Bitfinex will start to rise too. Same goes for the other way around.
Backtesting results are impressive: the strategy uses stop-losses while having a drawdown of only 7.32%. And a net profit of almost 50% is really good. Life-Trading results might be lower, because of spread and commissions.
I have a trade-automation in-place for this strategy but will do more data-science and maybe machine-learning analysis before sharing more results.
I started to compare price-action of NEO/USD on different exchanges and found out that the price on Bitfinex seems to follow the price on Bittrex.
At the time of this writing NEO/USD had a 24h volume of a little more that 8 million USD, while the volume on Bittrex was more that 24 million USD. As as side note: the total volume of Bitfinex is much higher than Bittrex (708 vs 371 million).
When price on Bittrex is rising for at least 3 candles in a row, while it is falling on Bitfinex - probablility is high that the price on Bitfinex will start to rise too. Same goes for the other way around.
Backtesting results are impressive: the strategy uses stop-losses while having a drawdown of only 7.32%. And a net profit of almost 50% is really good. Life-Trading results might be lower, because of spread and commissions.
I have a trade-automation in-place for this strategy but will do more data-science and maybe machine-learning analysis before sharing more results.
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