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EFSDO.lua
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EFSDO.lua
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--[[
https://github.com/nick-nh/qlua
EFDSO Ehlers Fisherized Deviation-Scaled Oscillator
]]
_G.load = _G.loadfile or _G.load
local maLib = load(_G.getWorkingFolder().."\\Luaindicators\\maLib.lua")()
local logFile = nil
--logFile = io.open(_G.getWorkingFolder().."\\LuaIndicators\\EFDSO.txt", "w")
local message = _G['message']
local RGB = _G['RGB']
local TYPE_LINE = _G['TYPE_LINE']
local isDark = _G.isDarkTheme()
local os_time = os.time
local zero_color = isDark and RGB(123, 123, 123) or RGB(70, 70, 70)
_G.Settings= {
Name = "*EFDSO",
period = 20,
poles = 2, --[2, 3]
data_type = 'Close',
obLevel = 2.0, -- уровень перекупленности
osLevel = -2.0, -- уровень перпроданности
line = {
{
Name = 'zero',
Color = zero_color,
Type = TYPE_LINE,
Width = 1
},
{
Name = 'OB',
Color = isDark and RGB(123, 255, 123) or RGB(70, 193, 70),
Type = TYPE_LINE,
Width = 1
},
{
Name = 'OS',
Color = isDark and RGB(255, 150, 150) or RGB(193, 70, 70),
Type = TYPE_LINE,
Width = 1
},
{
Name = 'EFDSO',
Color = isDark and RGB(255, 193, 193) or RGB(23, 23, 23),
Type = TYPE_LINE,
Width = 2
}
}
}
local PlotLines = function() end
local error_log = {}
local function log_tostring(...)
local n = select('#', ...)
if n == 1 then
return tostring(select(1, ...))
end
local t = {}
for i = 1, n do
t[#t + 1] = tostring((select(i, ...)))
end
return table.concat(t, " ")
end
local function myLog(...)
if logFile==nil then return end
logFile:write(tostring(os.date("%c",os_time())).." "..log_tostring(...).."\n");
logFile:flush();
end
------------------------------------------------------------------
--Moving Average
------------------------------------------------------------------
local function Algo(Fsettings, ds)
Fsettings = (Fsettings or {})
local data_type = (Fsettings.data_type or "Close")
local period = Fsettings.period or 9
local poles = Fsettings.poles or 2
local obLevel = Fsettings.obLevel or 2
local osLevel = Fsettings.osLevel or -2
error_log = {}
local fSSF
local out
local efsdo
local avgZeros
local zeros
local scaledFilter
return function (index)
out = nil
local status, res = pcall(function()
if not maLib then return end
local val = maLib.Value(index, data_type, ds)
if fSSF == nil or index == 1 then
efsdo = {}
efsdo[index] = 0
zeros = {}
zeros[index] = 0
avgZeros = {}
avgZeros[index] = 0
fSSF = poles == 2 and maLib.Get2PoleSSF({period = period, data_type = 'Any'}, avgZeros) or maLib.Get3PoleSSF({period = period, data_type = 'Any'}, avgZeros)
fSSF(index)
return
end
zeros[index] = zeros[index-1]
avgZeros[index] = avgZeros[index-1]
efsdo[index] = efsdo[index-1]
--Ehlers Super Smoother Filter
local ssf = fSSF(index)
if not maLib.CheckIndex(index, ds) then
return
end
zeros[index] = val - (maLib.Value(maLib.GetIndex(index, 2, ds, data_type), data_type, ds))
avgZeros[index] = (zeros[index] + zeros[index-1])/2
--Rescale filter in terms of Standard Deviations
local stdev = maLib.Sigma(ssf, nil, index - period + 1, index)
scaledFilter = stdev ~= 0 and ssf[index]/stdev or scaledFilter
--Apply Fisher Transform to establish real Gaussian Probability Distribution
efsdo[index] = math.abs(scaledFilter) < 2 and 0.5*math.log((1 + scaledFilter/2)/(1 - scaledFilter/2)) or efsdo[index]
out = efsdo[index]
end)
if not status then
if not error_log[tostring(res)] then
error_log[tostring(res)] = true
myLog(tostring(res))
message(tostring(res))
end
return nil
end
return 0, obLevel, osLevel, out
end
end
function _G.Init()
PlotLines = Algo(_G.Settings)
return 4
end
function _G.OnChangeSettings()
_G.Init()
end
function _G.OnCalculate(index)
return PlotLines(index)
end