I have been away from FF for quite some time and have been developing software which can fetch ALL trade data from exchange on chain(100% legally).
The 'trade data' includes 'account ID', 'trade day&time', 'symbol', 'long/short', 'quantity', 'fee', 'floating pnl' and 'realised pnl', etc., for derivatives trades of any particular decentralized exchanges, in real time.
Besides these raw data, I also build my own report to summarize how each trader within exchange performs, the metrics being measured include 'win rate', 'max and average drawdown', 'max and average drawup', 'average pnl %', 'standard deviation of pnl%', 'average win amount', 'average loss amount', 'average holding time for order that lose', and 'average holding time for order that win', etc...
Given all these data and summaries, what I have been doing is to copy-trade those I think he/she is consistently performing well, and at the same time reverse copy-trade those I think he/she would keep losing in the future. I have exclude the factor of 'fee' when picking the tragets (i.e. I wouldn't pick a 'losing trader' when his/her loss is mainly make up by trading fee).
I would like to ask for your opinion/comment if anyone here has the experience of copy trading/reverse copy trading a group of trading accounts. Also what attribute do you think is important when defining good/bad traders? And how would you set up your strategy when you have the data I mentioned above?
I started the project like 5 months ago, I'm still striving to make it mature and completed. If you are interested in the same thing like me, please be open to leave comment or pm me. I'm very willing to share my experience as well.
The 'trade data' includes 'account ID', 'trade day&time', 'symbol', 'long/short', 'quantity', 'fee', 'floating pnl' and 'realised pnl', etc., for derivatives trades of any particular decentralized exchanges, in real time.
Besides these raw data, I also build my own report to summarize how each trader within exchange performs, the metrics being measured include 'win rate', 'max and average drawdown', 'max and average drawup', 'average pnl %', 'standard deviation of pnl%', 'average win amount', 'average loss amount', 'average holding time for order that lose', and 'average holding time for order that win', etc...
Given all these data and summaries, what I have been doing is to copy-trade those I think he/she is consistently performing well, and at the same time reverse copy-trade those I think he/she would keep losing in the future. I have exclude the factor of 'fee' when picking the tragets (i.e. I wouldn't pick a 'losing trader' when his/her loss is mainly make up by trading fee).
I would like to ask for your opinion/comment if anyone here has the experience of copy trading/reverse copy trading a group of trading accounts. Also what attribute do you think is important when defining good/bad traders? And how would you set up your strategy when you have the data I mentioned above?
I started the project like 5 months ago, I'm still striving to make it mature and completed. If you are interested in the same thing like me, please be open to leave comment or pm me. I'm very willing to share my experience as well.
