Generate DASH application entitled "Momentum analysis tool" with 6 tabs.
The first tab named "Strgy Analysis" has 2 rows.
On the first row are 5 elements laid out horizontally
The first element is a pulldown labeled  "universe" with items labeled "D30", "N100", "SP500", "R1000" and "FAANNG" that defaults to "FAANNG". 
The second element is a  text field labeled "lags" that allows me to enter a list of comma delimited numbers and initialized with the string "1,3,6,12", 
The third element is a  pulldown labeled  "member count" with 6 items labeled 1-6 that defaults to 6.
The fourth element is a  text field labeled "months back" initialized to 12.
The fifth element is a  check box labeled "Use Cache?" with a default value of "checked".
On the second row are 6 elements laid out horizontally
The first element is a  "Submit" button.
The second element is a FinGPT markdown link which opens a new tab to https://huggingface.co/spaces/FinGPT/FinGPT-Forecaster
The third element is an Article markdown link which opens a new tab to https://docs.google.com/document/d/1WngnKvHFAc8qZEUGt3tBUvFrNFHfeRmHMCX76iD9XMY
The fourth element is a Log markdown link which opens  a new tab to https://docs.google.com/spreadsheets/d/19C-EUB3YiLeyC06nJwEJ0mex6PutRfGGG2_ZqkxgAvw/edit?usp=sharing
The fifth element is a Help markdown link which opens  a new tab to https://docs.google.com/document/d/128e_RkPohXNduVFvwEY0O0xnNi46lnN8Ad9l7uNBCL8/edit?usp=sharing
When "Submit" is pressed, the application calls strategyAnalysis passing (universe,lags,memberCount,monthsback=12,useCache) which returns a returnStd data frame , monthly Returns data frame and a recommendations data frame.
Please print the recommendations data frame in a dataframe area called "Results".
The second tab is labeled "Strgy rtn vs time" and displays a plotly express line chart where you pass in the monthly Returns data frame.
The third tab is labeled "Strgy rtn vs risk" and displays a plotly express scatter chart where you pass in the returnStd data frame and x="std", y="return",text="ticker".

The fourth tab named "Unvrse Analysis" has 2 rows.
On the first row are 4 elements laid out horizontally
The first element is a multiple select item labeled  "universes" with items labeled "D30", "N100", "SP500", "R1000" and "FAANNG". All items are selected.
The second element is a  text field labeled "lags(s)" initialized with the string  "1,3,6,12;1,3,6,6;4-36".
The third element is a pulldown labeled  "U member count" with 6 items labeled 1-6 that defaults to 6.
The fourth element is a text field labeled "U months back" initialized to 12.
On the second row is 
a check box labeled "U Use Cache?" with a default value of "checked".
a "U Submit" button.
When "Submit" is pressed, the application calls univeseAnalysis passing (universes,lags,memberCount,monthsback=12,useCache) which returns a aggregatedReturnStd data frame, aggregatedMonthlyReturns data frame
and a aggregatedRecommendations data frame.
Please print the aggregatedRecommendations data frame in a dataframe area called "Results".

The fifth tab is labeled "Unvrse rtn vs time" and displays a plotly express line chart where you pass in the aggregatedMonthlyReturns data frame.
The sixth tab is labeled "Unvrse rtn vs risk" and displays a plotly express scatter chart where you pass in the aggregatedReturnStd data frame and x="std", y="return",text="ticker".

Do not generate a dummy call to strategyAnalysis
Instead create an "from momentumtiming import strategyAnalysis" import.
Do not pass a "key" argument to st.dataframe.
Do not pass x and y arguments to plotly.
Do not generate a target element for the links
And include this entire prompt as a comment in the header of the generated file.