adds Compat package and fixes tuplecopalyse errors and Dict warnings

REQUIRE

@@ -5,3 +5,4 @@ MarketTechnicals
 Match
 Reactive
 Docile
+Compat 0.4.0

src/TradingLogic.jl

@@ -8,7 +8,7 @@ using Reactive, Match, FinancialSeries, MarketTechnicals
 
 module TradingLogic
 
-using Docile
+using Docile, Compat
 
 if VERSION < v"0.4-"
     using Dates
@@ -51,7 +51,8 @@ In-place modifies `blotter` (adds transactions to it).
 Returns `Bool`-signal for the overall status of the trading system
 (false if problems are detected).
 """
-function runtrading!{M}(blotter::Dict{DateTime,(Int64,Float64)},
+#function runtrading!{M}(blotter::Dict{DateTime,(Int64,Float64)},
+function runtrading!{M}(blotter::Dict{DateTime,@compat(Tuple{Int64,Float64})},
                         backtest::Bool,
                         s_ohlc::Input{FinancialTimeSeries{Float64,2,M}},
                         s_pnow::Signal{Float64},

src/orderhandl.jl

@@ -18,7 +18,8 @@ if stop-price of stoplimit order is reached.
 Overwrites `orde` and returns `Bool` request status.
 """
 function targ2order!(orde::Order,
-                     targ::(Int64, Vector{Float64}),
+                     #targ::(Int64, Vector{Float64}),
+                     targ::@compat(Tuple{Int64, Vector{Float64}}),
                      trig::ASCIIString,
                      position_actual::Int64,
                      backtest::Bool)
@@ -75,11 +76,14 @@ In-place modifies:
  and `backtestblotter` associative collection.
 Returns `Bool` system status.
 """
-function orderhandling!(targ::(Int64, Vector{Float64}),
-                        pnow::Float64, tnow::DateTime,
+#function orderhandling!(targ::(Int64, Vector{Float64}),
+function orderhandling!(targ::@compat(Tuple{Int64, Vector{Float64}}),
+                        pnow::Float64, 
+                        tnow::DateTime,
                         position_actual_mut::Vector{Int64},
                         ordcurr::Order,
-                        blotter::Dict{DateTime,(Int64,Float64)},
+                        #blotter::Dict{DateTime,(Int64,Float64)},
+                        blotter::Dict{DateTime,@compat(Tuple{Int64,Float64})},
                         backtest::Bool
                         )
   posact = position_actual_mut[1]

src/performance.jl

@@ -4,9 +4,11 @@ Trade analysis for `blotter` provided as
 Input `metrics` specifies what to calculate.
 Returns: tuple ( DateTime (ordered) array , assoc. collection of perf metrics ).
 """
-function tradeperf(blotter::Dict{DateTime,(Int64,Float64)},
+#function tradeperf(blotter::Dict{DateTime,(Int64,Float64)},
+function tradeperf(blotter::Dict{DateTime,@compat(Tuple{Int64,Float64})},
                    metrics::Vector{Symbol})
-  perfm = (Symbol=>Vector{Float64})[]
+  #perfm = (Symbol=>Vector{Float64})[]
+  perfm = @compat Dict{Symbol, Vector{Float64}}()
   ### TODO (later): accociative collections syntax changes in Julia 0.4
 
   # timestamps in order
@@ -40,7 +42,7 @@ faster verision (minimizing memory allocation) to be used
 in e.g. parameter optimization workflow.
 Returns: final profit/loss `Float64` scalar.
 """
-function tradepnlfinal(blotter::Dict{DateTime,(Int64,Float64)})
+function tradepnlfinal(blotter::Dict{DateTime,@compat(Tuple{Int64,Float64})})
   # timestamps in order
   vt = sort!(collect(keys(blotter)))
   nt = length(vt)

src/types.jl

@@ -50,7 +50,8 @@ end
 Initialize empty blotter as an associative collection
 `DateTime => (Qty::Int64, FillPrice::Float64)`
 """
-emptyblotter() = (DateTime=>(Int64,Float64))[]
+#emptyblotter() = (DateTime=>(Int64,Float64))[]
+emptyblotter() = @compat Dict{DateTime, Tuple{Int64,Float64}}()
 ### TODO (later): accociative collections syntax changes in Julia 0.4