Sectoral Rotation, or Relative Rotational charts, are a powerful visual tool in assessing how different sectors compare in terms of their relative strength and momentum; it’s easier to spot stronger and weaker sectors, thus highlighting possible changes in market leadership and trends in asset performance
Sectoral Rotation, or Relative Rotational charts, are a powerful visual tool in assessing how different sectors compare in terms of their relative strength and momentum; it’s easier to spot stronger and weaker sectors, thus highlighting possible changes in market leadership and trends in asset performance
Sectoral Rotation, or Relative Rotational charts, are a powerful visual tool in assessing how different sectors compare in terms of their relative strength and momentum; it’s easier to spot stronger and weaker sectors, thus highlighting possible changes in market leadership and trends in asset performance
Sectoral Rotation, or Relative Rotational charts, are a powerful visual tool in assessing how different sectors compare in terms of their relative strength and momentum; it’s easier to spot stronger and weaker sectors, thus highlighting possible changes in market leadership and trends in asset performance
Sectoral Rotation, or Relative Rotational charts, are a powerful visual tool in assessing how different sectors compare in terms of their relative strength and momentum; it’s easier to spot stronger and weaker sectors, thus highlighting possible changes in market leadership and trends in asset performance
Sectoral Rotation, or Relative Rotational charts, are a powerful visual tool in assessing how different sectors compare in terms of their relative strength and momentum; it’s easier to spot stronger and weaker sectors, thus highlighting possible changes in market leadership and trends in asset performance
Sectoral Rotation, or Relative Rotational charts, are a powerful visual tool in assessing how different sectors compare in terms of their relative strength and momentum; it’s easier to spot stronger and weaker sectors, thus highlighting possible changes in market leadership and trends in asset performance
This is an example of a scan that demonstrates the enhanced “relperf()” and “rank()” functions; these functions can be used to compute and compare the % change of a portfolio’s components with any Index
1–2 minutes
This functionality was introduced in October 2023 (Version 23.10.1)
Below is an illustration of an enhanced scan that can be created using the Advanced Scanner in ChartAlert.
List symbols where relperf(cl,3,m) > Symbol Value(relperf(cl,3,m),NIFTY)
Add Column cl
Add Column Symbol Value(c,nifty) as CNifty
Add Column relperf(cl,3,m) as RP
Add Col Symbol Value(relperf(cl,3,m),NIFTY) as RPNifty
Add Column rank(relperf(cl,3,m), DESCENDING) as Rank
Sort on Column Rank
Apply to Nifty
Below is a breakdown of the scan presented in a step-by-step manner.
This is an example of an optimized scan that demonstrates the enhanced (“Set chart type to…”) function; it can replace the need for writing several scans (as was required in the older versions of ChartAlert)
1–2 minutes
This functionality was introduced in October 2023 (Version 23.10.1)
Below is an illustration of an optimized scan that can be created using the Advanced Scanner in ChartAlert.
This one enhanced scan now replaces the need for maintaining two separate scans as was required in the previous versions of ChartAlert.
[BEGIN Bullish SuperT Candlestick]
List symbols where Close has crossed above SUPERTREND(10,3)
Add Column C
Add Column SUPERTREND(10,3) as SuperT
Apply to NiftyTotal
Plot Template SuperTrend heikinAshi
[END]
[BEGIN Bullish SuperT HeikinAshi]
List symbols where Close has crossed above SUPERTREND(10,3)
Add Column C
Add Column SUPERTREND(10,3) as SuperT
Set chart type to Heikinashi
Apply to NiftyTotal
Plot Template SuperTrend heikinAshi
[END]
Below is a breakdown of the scan presented in a step-by-step manner.
This is an example of an optimized scan that demonstrates some enhanced functionality; it can replace the need for writing several scans (as was required in the older versions of ChartAlert)
1–2 minutes
This functionality was introduced in October 2023 (Version 23.10.1)
Below is an illustration of an optimized scan that can be created using the Advanced Scanner in ChartAlert.
This one enhanced scan, wherein multiple parameters/ variables can now accept multiple values/ inputs, now replaces the need for writing at least 26 separate scans as was required in the previous versions of ChartAlert.
[BEGIN Top20 M2 mths ago]
Set OptVar M1 = Min:1, Max:13, Step:1
Set OptVar M2 = Min:0, Max:12, Step:1
List symbols
Add Column C M1 bars ago as C1
Add Column C M2 bars ago as C2
Add Column Date M1 bars ago as D1
Add Column Date M2 bars ago as D2
Add Column Chg%(C M2 bars ago, C M1 bars ago) as chg%
Sort on Column chg% desc limit 20
Apply to Nifty
Set periodicity to Monthly
[END]
[BEGIN Bot20 M2 mths ago]
Set OptVar M1 = Min:1, Max:13, Step:1
Set OptVar M2 = Min:0, Max:12, Step:1
List symbols
Add Column C M1 bars ago as C1
Add Column C M2 bars ago as C2
Add Column Date M1 bars ago as D1
Add Column Date M2 bars ago as D2
Add Column Chg%(C M2 bars ago, C M1 bars ago) as chg%
Sort on Column chg% limit 20
Apply to Nifty
Set periodicity to Monthly
[END]
Below is a breakdown of the scan presented in a step-by-step manner.
