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I built my own intelligent algo trading platform for node.js. It uses market data from Binance and Bitfinex. My best strategy uses unusual volume amounts on Bitfinex to trade on Binance (mostly BTCUSDT and other USDT pairs), an advanced dynamic arbitrage. It can make up to 500-1000 usd per day but not really much more. I started testing a LSTM neural network to optimize the gains and reduce the risks, still early but seems very promising.

I wrote this repo a few months ago for people to get started with cryptocurrency algo trading: https://github.com/jsappme/node-binance-trader

Feel free to contact me at herve76@gmail.com if you need me to write your own custom trading algorithm.



> Feel free to contact me at herve76@gmail.com if you need me to write your own custom trading algorithm.

Why would you do this when you are already making $500/day ($182,500 per year)?


I'd have the same question, but note the word "can" in the $500-1000 range. And the lack of how much it can lose in a day.


500-1000 usd generated from how much existing capital? What kinds of return?


This is one of my pet peeves about self-reported returns on the internet. It's always the case that, if they report absolute returns, they're starting from huge capital and getting 0.00001% gains. If they give relative returns, then its miniscule trades with no market impact and no slippage.


And also the fact that the people who used a similar strategy to trade and only ever lost money are posting about it.


> It can make up to 500-1000 usd per day but not really much more.

This is entirely meaningless without knowing how much you started with. There's a reason why ROI is often stated as a percentage.

If you have a billion dollars invested, gaining $500-1000 isn't much. If it's $10,000, then that amount is pretty significant.

It's like claiming you drive a fuel efficient car because you can drive 500 miles on one tank without disclosing the size of your tank.


What's the maximum downside risk in a day? How do you guard against that happening?


Thanks for posting, looks quite interesting.




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