Hi
Not sure where to post this so here goes:

1. fetch_csv has 2 uses, fetching signals and stock data.

2. stock info can be accessed through data.fetcher_assets

3. data.fetcher_assets is not populated if one fetches signals after stock data

4a and 4b.
In 4a, fetch_csv(signals) before fetch_csv(stocks) results in data.fetcher_assets being populated.
In 4b, fetch_csv(signals) after fetch_csv(stocks) results in data.fetcher_assets not being populated.

4a. Example in this setup, data.fetcher_assets is populated

#Pseudocode.  
#Replace signalFile and stockDataFile with urls to formatted csv files  
def initialize(context):  
    #Fetching example signal file  
    fetch_csv(signalFile,  
    symbol = "colName")

    #Fetching example stock file  
    fetch_csv(stockDataFile)

    schedule_function(at_market_open, date_rule=date_rules.every_day(), time_rule=time_rules.market_open(hours=1))  
def at_market_open(context, data):  
    #We get stuff that is in data.fetcher_assets  
    print(data.fetcher_assets)  
    pass  

4b. Example in this setup, data.fetcher_assets is NOT populated. Note order of fetch_csv

#Pseudocode  
#Replace signalFile and stockDataFile with urls to formatted csv files  
def initialize(context):  
    #Fetching example stock file  
    fetch_csv(stockDataFile)

    #Fetching example signal file  
    fetch_csv(signalFile,  
    symbol = "colName")

    schedule_function(at_market_open, date_rule=date_rules.every_day(), time_rule=time_rules.market_open(hours=1))  
def at_market_open(context, data):  
    #We get []  
    print(data.fetcher_assets)  
    pass