I have not backtested with ES yet. The strategy uses volume bars which requires tick data.What happens when you try ES puke?
Why do you need tick data for NQ puke when it trades quite slowly? Is it just for better fills simulation?
I have not backtested with ES yet. The strategy uses volume bars which requires tick data.What happens when you try ES puke?
Why do you need tick data for NQ puke when it trades quite slowly? Is it just for better fills simulation?
Well gents, my NQ Puke system blew up this passed week losing -$8235. I had a max 10% draw down rule in place and my equity high with this strategy since 4/20/2020 was about +$4000 and it traded down -$5584.3. With my account at about $100,000 to start with I pulled the plug on the strategy. Not what I hoped for but I think the strategy still has merit but really needs a hedging component.
The week was not all bad as my Night Trader strategy made +$993.
Likely...it is a tick based strategy that uses volume bars so I only have about 7 months of data. Plenty of trades and different market conditions but still not much data. I knew it was a risk going in and my bet was I would get decent gains before taking a hit. I am going to revisit this once I have my Strategy Builder V2 done and I can more easily test other ideas, which might be adapting this approach to minute data which I have plenty of.What do you think went wrong? Too short training data?
Greetings gents. Not much trading lately as I have been building Strategy Builder v2 and porting it from AlgoTerminal to SigmaTrader. My goal for the second half is to crank out one new strategy a month starting in September and continue to polish my product. Below is my performance YTD...basically flat.
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Yeah...I canned all my strategies but one which is performing nicely but does not trade that often. Expect to see much more activity in this thread in the coming months.Your live performance looks similar to most of my strategies. This usually means overfitting, though I suspect it’s more related to the market being efficient. Basically you can extract whatever inefficiencies are in the market, but they barely pay for commissions![]()