The first thing you should do is learn some basic Python. Once you are slightly familiar with that, you should be able to understand some of the examples here.

My recommendation:
First, go through part or all of the Codecademy Python course which you can find here.

Next, look through the Quantopian discussion board or the Quantopian documentation and find some example algorithms. Try going through the examples and see if you can understand them. From there, you can clone them or copy parts of them to derive your own algorithm from. There are a bunch of good examples here. If you have any questions about Python or Quantopian you can ask and I'll try to help.

Hi Gus

thanks for your recommendation... I will surely try to do that

I have code for my strategy in Amibroker ...I am posting code here....Can you please transfer into Python code so that it will easy for me in to write ..thanks again.

prev=AMA2(C,1,0);  
d=IIf(C>Ref(Max(Max(H,Ref(H,-20)),Max(Ref(H,-10),Ref(H,-15))),-1),Min(Min(L,Ref(L,-20)),Min(Ref(L,-10),Ref(L,-15))),  
IIf(C<Ref(Min(Min(L,Ref(L,-20)),Min(Ref(L,-10),Ref(L,-15))),-1),Max(Max(H,Ref(H,-20)),Max(Ref(H,-10),Ref(H,-15))),PREV));  
a=Cross(Close,d);  
b=Cross(d,Close);  
state=IIf(BarsSince(a)<BarsSince(b),1,0);  
s=state>Ref(state,-1);  
ss=state<Ref(state,-1);  
sss=state==Ref(state,-1);  
col=IIf(state == 1 ,51,IIf(state ==0,4,1));  
Plot(C,"",Col,64);  
PlotShapes( shapeUpArrow * s ,6,0,L);  
PlotShapes( shapeDownArrow *ss ,4,0,H);

Filter = s OR sss OR sss ;  
AddColumn(C,"close",1.2);  
AddColumn( IIf( s, 66,1 ), "buy", formatChar, 1, bkcolor =IIf (s,colorYellow, colorPink ));  
AddColumn( IIf( Ss, 83,1 ), "sell", formatChar, 1, bkcolor =IIf (Ss,colorPink, colorYellow ));  
AddColumn( IIf( sss, 87,1 ), "wait", formatChar, 1, bkcolor =IIf (sss,colorYellow, colorRed ));

_SECTION_BEGIN("");  
_N(Title = "{{NAME}} - {{INTERVAL}} {{DATE}}: "+_DEFAULT_NAME()+" : {{OHLCX}} {{VALUES}}"  
+"\n"+EncodeColor(colorYellow)+  
WriteIf(s,"EXIT all Short positions\nif trading long positions, enter long Now-\nOR at the market price on tomorrow's Open with stop="+EncodeColor(4)+WriteVal(L+.75*ATR(5),1.4)+" ,","")+  
WriteIf(ss,"exit all long positions today with a Market On Close (MOC) order\nOR at the market price on tomorrow's Open with stop="+EncodeColor(4)+WriteVal(Ref(H+.75*ATR(5), -1),1.4)+",","")+  
WriteIf( sss ,"No trading signals today.","") );



_SECTION_BEGIN("swing1");  
no=20;  
res=HHV(H,no);  
sup=LLV(L,no);  
avd=IIf(C>Ref(res,-1),1,IIf(C<Ref(sup,-1),-1,0));  
avn=ValueWhen(avd!=0,avd,1);  
supres=IIf(avn==1,sup,res);

a=Cross(C,supres);  
b=Cross(supres,C);

style = a * styleStaircase + b * styleStaircase;

PlotShapes(a,style, IIf(a,colorGreen,colorRed), 0, IIf(a,Low,High));

_SECTION_END();



_SECTION_BEGIN("trend");  
uptrend=PDI(20)>MDI(10)AND Signal(29)<MACD(13);  
downtrend=MDI(10)>PDI(20)AND Signal(29)>MACD(13);


Plot( 2, /* defines the height of the ribbon in percent of pane width */"ribbon",  
IIf( uptrend, colorGreen, IIf( downtrend, colorRed, 0 )), /* choose color */  
styleOwnScale|styleArea|styleNoLabel, -0.5, 100 );

_SECTION_END();

//d = Close > Ref( ChandelierHL(ATR(3),20), -1);
//e =Close < Ref( ChandelierHL(ATR(3),20), -1);
//f = Close < Ref( ChandelierHL(ATR(3),20), -1);
//g = Close > Ref( ChandelierHL(ATR(3),20), -1);

Buy = s AND a AND uptrend ;  
Short = ss AND b AND downtrend ;  
Sell = ss AND b AND downtrend ;  
Cover = s AND a AND uptrend ;

Buy=ExRem(Buy,Sell);  
Sell=ExRem(Sell,Buy);  
Cover=ExRem(Cover,Short);  
Short=ExRem(Short,Cover);

Filter=Buy OR Sell;  
Filter= Cover OR Short;

AddColumn( Buy, "Buy", 1);  
AddColumn(Sell, "Sell", 1);  
AddColumn(Close,"Close",1.2);  
AddColumn(Volume,"Volume",1.0);

_SECTION_BEGIN("Volume");  
Plot( Volume, _DEFAULT_NAME(), ParamColor("Color", colorLavender ), styleNoTitle | ParamStyle( "Style", styleHistogram | styleOwnScale | styleThick | styleNoLabel, maskHistogram ), 2 );  
_SECTION_END();  
// Plot the Buy and Sell arrows.
shape = Buy * shapeUpArrow + Sell * shapeDownArrow;  
PlotShapes(shape, IIf(Buy,colorGreen,colorRed), 0, IIf(Buy,Low,High));

Plot(supres,"Swing",colorYellow,styleStaircase);

SetChartBkGradientFill( ParamColor("BgTop", ColorRGB( 172,172,172 )),

ParamColor("BgBottom", ColorRGB( 172,172,172 )),ParamColor("titleblock",ColorRGB( 172,172,172 ))); 


GraphXSpace = 5;  

Hi Praveen - I don't know that Gus (or most others) are willing to translate your code. I worked with AmiBroker and AFL for a few months before scraping that (the API and program in general are very unstable, I would run my script multiple times in a row on the same data and get different results!) Your AFL script appears to be straightforward but it is not immediately translatable into Python. AmiBroker actually runs on block matrices in parallel which create significant problems for certain algorithms. Quantopian performs the backtest in a "linear" fashion thru time, which means it runs slower but actually provides the correct result.

As Gus said, your best bet is to comb thru some of the information on Python and take a crack at this yourself. If I have time this evening I will revisit this page and see if I can help get you started.

Dan is right, it's definitely not trivial to port an algorithm from AmiBroker to Python. Even if someone did it for you, you'd be better off working on it yourself since you would be able to adjust it yourself and learn about Python. If you do what I said, and you're already familiar with programming like you are with AmiBroker, you should be able to port it yourself without too much trouble. If you run into any problems along the way, let me know and I'll try to help.

Hi Gus

thanks but as you have given link for Python learning...its show that course haven't started....Can you please give me link that course already done?

I think the course is available to take for free at any time. It's really more like a game, though. Hover over a lesson and hit "Start course". Does that help?