General Trading Chat

arsh22g

Well-Known Member
AFL help needed :)

I was trying a 1-min backtest on NS, along with an hourly condition. I have data from 1 Jan, 2014 to 31 Mar, 2016. But the backtest is only picking it up from 14 Mar, 2016 to 31 Mar, 2016.



It works okay with other random AFL.



What could be the reason for this? I haven't defined any data range in the AFL itself.
 
Last edited:

amitrandive

Well-Known Member
AFL help needed :)

I was trying a 1-min backtest on NS, along with an hourly condition. I have data from 1 Jan, 2014 to 31 Mar, 2016. But the backtest is only picking it up from 14 Mar, 2016 to 31 Mar, 2016.



It works okay with other random AFL.



What could be the reason for this? I haven't defined any data range in the AFL itself.
Try using "all quotes"

 

arsh22g

Well-Known Member
No idea , try "individual backtest",maybe something wrong with the code.
I think it's because of using multiple TFs in AFL. I couldn't find a clean solution, so did some jugaad. Using single TF only and deriving higher TF calculations from 1-min TF data. Although exact numbers can be derived using loops, but I don't know how, so using approximations. Results coming out to be satisfactory with approximations too.

Thanks for your help :thumb:
 
Hello Guys,
I am new to this forum. I am looking at various posts by veterans, they all talk about TFs, AFLs, pips, Points, backtesting (of what?), nest etc.

Can anyone tell em what these words mean?

Thanks
 

vijkris

Learner and Follower
Hello Guys,
I am new to this forum. I am looking at various posts by veterans, they all talk about TFs, AFLs, pips, Points, backtesting (of what?), nest etc.

Can anyone tell em what these words mean?

Thanks
hi,
Tf= timeframes
afl= amibroker formula language
pips/points = movt. of scrips based on tick size. though I know what it means unable to put in sentence :p

backtesting of trading strategy is done using tools like amibroker,pi,excel etc.

nest= home of birds :rofl:

NOW/NEST TRADER/ZT = trading terminal provided by brokers like zerodha etc

BTW u ll get nice detailed explanations, if u google these terms as well :thumb:.
 

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