update readme example and manifest versions

Manifest.toml

@@ -25,9 +25,9 @@ version = "0.8.0"
 
 [[Indicators]]
 deps = ["Random", "Statistics", "Temporal", "Test"]
-git-tree-sha1 = "0734fc9e3c33f59bccea03e891ad36b2ce14e328"
+git-tree-sha1 = "8502074e3967a914969cd139f15841fa0706479c"
 uuid = "70c4c096-89a6-5ec6-8236-da8aa3bd86fd"
-version = "0.4.0"
+version = "0.5.0"
 
 [[IniFile]]
 deps = ["Test"]
@@ -118,9 +118,9 @@ uuid = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
 
 [[Temporal]]
 deps = ["Dates", "HTTP", "JSON", "Printf", "Random", "RecipesBase", "Statistics", "Test"]
-git-tree-sha1 = "61d7059e2853e2f375629ca96e7272a4d7281b44"
+git-tree-sha1 = "e46b146e40093cce858f6d730ba08877cee6d9a3"
 uuid = "a110ec8f-48c8-5d59-8f7e-f91bc4cc0c3d"
-version = "0.5.5"
+version = "0.6.0"
 
 [[Test]]
 deps = ["Distributed", "InteractiveUtils", "Logging", "Random"]

README.md

@@ -37,11 +37,10 @@ The key indicator used in this strategy is John Ehlers's MESA Adaptive Moving Av
 This strategy simply goes long when the *MAMA* crosses over the *FAMA*, and goes short when the *FAMA* crosses over the *MAMA*. Below is an implementation that shows how to set default arguments to the `Indicators.mama` function and run a simple backtest using those parameters, and also define specified ranges over which we might like to see how the strategy behaves under different parameter sets.
 
 ```julia
-using Strategems, Temporal, Indicators
-using Dates
+using Strategems, Indicators, Temporal, Dates
 
 # define universe and gather data
-assets = ["CME_CL1", "CME_RB1"]
+assets = ["CHRIS/CME_CL1", "CHRIS/CME_RB1"]
 universe = Universe(assets)
 function datasource(asset::String; save_downloads::Bool=true)::TS
     savedata_path = joinpath(dirname(pathof(Strategems)), "..", "data", "$asset.csv")
@@ -85,18 +84,6 @@ optimize!(strat, samples=0)  # randomly sample the parameter space (0 -> use all
 
 # cumulative pnl for each combination of the parameter space
 strat.backtest.optimization
-9801×3 Array{Float64,2}:
-0.01  0.01   -3194.62
-0.01  0.02   -4098.25
-0.01  0.03    5178.82
-0.01  0.04    6267.24
-0.01  0.05   10996.5
-⋮
-0.99  0.95  -14949.8
-0.99  0.96  -16431.6
-0.99  0.97  -16333.3
-0.99  0.98  -17081.7
-0.99  0.99  -17057.4
 
 # visualizing results with the Plots.jl package
 using Plots