select cs_window_max(Close,3) from Quote_get('IBM');
           cs_window_max           
-----------------------------------
 float4:{10.5,20.2,30.2,40.2,50.5}
(1 row)

select cs_window_min(Close,3) from Quote_get('IBM');
        cs_window_min        
-----------------------------
 float4:{0,0,10.5,20.2,30.2}
(1 row)

select cs_window_sum(Close,3) from Quote_get('IBM');
                                   cs_window_sum                                   
-----------------------------------------------------------------------------------
 float8:{10.5,30.7000007629395,60.9000015258789,90.6000022888184,120.900001525879}
(1 row)

select cs_window_avg(Close,3) from Quote_get('IBM');
                                  cs_window_avg                                   
----------------------------------------------------------------------------------
 float8:{3.5,10.2333335876465,20.3000005086263,30.2000007629395,40.3000005086263}
(1 row)

select cs_window_var(Close,3) from Quote_get('IBM');
                                   cs_window_var                                   
-----------------------------------------------------------------------------------
 float8:{24.5,68.0422272915312,64.6866716512046,66.6666666666667,68.6866614786786}
(1 row)

select cs_window_dev(Close,3) from Quote_get('IBM');
                                         cs_window_dev                                         
-----------------------------------------------------------------------------------------------
 float8:{4.94974746830583,8.24877125949866,8.04280247495887,8.16496580927726,8.28774163923313}
(1 row)

--- Leave only elements corresponding to entire window
select cs_limit(cs_window_max(Close,3), 2) from Quote_get('IBM');
        cs_limit         
-------------------------
 float4:{30.2,40.2,50.5}
(1 row)

select cs_window_min(Close,3) << 2 from Quote_get('IBM');
        ?column?         
-------------------------
 float4:{10.5,20.2,30.2}
(1 row)

select cs_window_sum(Close,3) << 2 from Quote_get('IBM');
                          ?column?                           
-------------------------------------------------------------
 float8:{60.9000015258789,90.6000022888184,120.900001525879}
(1 row)

select cs_window_avg(Close,3) << 2 from Quote_get('IBM');
                          ?column?                           
-------------------------------------------------------------
 float8:{20.3000005086263,30.2000007629395,40.3000005086263}
(1 row)

select cs_window_var(Close,3) << 2 from Quote_get('IBM');
                          ?column?                           
-------------------------------------------------------------
 float8:{64.6866716512046,66.6666666666667,68.6866614786786}
(1 row)

select cs_window_dev(Close,3) << 2 from Quote_get('IBM');
                          ?column?                           
-------------------------------------------------------------
 float8:{8.04280247495887,8.16496580927726,8.28774163923313}
(1 row)

--- 2-days EMA (Exponential Moving Average)
select cs_window_ema(Close,3) from Quote_get('IBM');
                                  cs_window_ema                                  
---------------------------------------------------------------------------------
 float8:{10.5,15.3500003814697,22.7750005722046,31.487500667572,40.993750333786}
(1 row)

--- 2-days ATR (Average True Range)
select cs_window_atr(cs_maxof(High-Low,cs_concat('float4:{0}',cs_maxof(cs_abs((High<<1) - Close), cs_abs((Low<<1) - Close)))), 3) << 2 from Quote_get('IBM');
                          ?column?                           
-------------------------------------------------------------
 float8:{7.16666666666667,8.37777752346463,9.18518476132993}
(1 row)