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### A Pluto.jl notebook ### | ||
# v0.19.40 | ||
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using Markdown | ||
using InteractiveUtils | ||
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# This Pluto notebook uses @bind for interactivity. When running this notebook outside of Pluto, the following 'mock version' of @bind gives bound variables a default value (instead of an error). | ||
macro bind(def, element) | ||
quote | ||
local iv = try Base.loaded_modules[Base.PkgId(Base.UUID("6e696c72-6542-2067-7265-42206c756150"), "AbstractPlutoDingetjes")].Bonds.initial_value catch; b -> missing; end | ||
local el = $(esc(element)) | ||
global $(esc(def)) = Core.applicable(Base.get, el) ? Base.get(el) : iv(el) | ||
el | ||
end | ||
end | ||
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# ╔═╡ 3fd38d00-d413-11ee-35a1-a9c997e0c8fe | ||
begin | ||
import Pkg | ||
Pkg.activate(mktempdir()) | ||
Pkg.add([ | ||
Pkg.PackageSpec(url = "https://github.com/femtotrader/IncTA.jl"), | ||
]) | ||
Pkg.add(["PlutoUI", "Plots", "DataStructures"]) | ||
using PlutoUI, Plots, DataStructures | ||
using Dates | ||
gr() | ||
using IncTA | ||
using IncTA: StatLag | ||
end | ||
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# ╔═╡ f78dc6f0-f725-4829-bda4-827b96bf1517 | ||
md"""# Feed IncTA indicators with live random data""" | ||
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# ╔═╡ 72e8c266-b3d4-45ad-be3f-36f74a9e3105 | ||
begin | ||
ticks_per_sec = 20 | ||
ΔT_s = 1 / ticks_per_sec | ||
ΔT = Dates.Millisecond(round(ΔT_s * 1_000)) | ||
last_time = [0.0] | ||
buffsize = 500 | ||
cb_dt = CircularBuffer{DateTime}(buffsize) | ||
cb_randomwalk = CircularBuffer{Float64}(buffsize) | ||
cb_framerate = CircularBuffer{Float64}(buffsize) | ||
dt_now = now(Dates.UTC) | ||
append!(cb_dt, dt_now - buffsize * ΔT:ΔT:dt_now) | ||
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fill!(cb_randomwalk, 0.0) | ||
ma_fast = StatLag(SMA{Float64}(period=3), buffsize) | ||
ma_slow = StatLag(SMA{Float64}(period=21), buffsize) | ||
rsi_fast = StatLag(RSI{Float64}(period=9), buffsize) | ||
rsi_slow = StatLag(RSI{Float64}(period=14), buffsize) | ||
for i in 1:buffsize | ||
fit!(ma_fast, 0.0) | ||
fit!(ma_slow, 0.0) | ||
fit!(rsi_fast, 0.0) | ||
fit!(rsi_slow, 0.0) | ||
end | ||
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fill!(cb_framerate, 0.0) | ||
end | ||
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# ╔═╡ 3b5db701-72c9-4bba-8ea5-7b1d69217c4e | ||
@bind ticks Clock(ΔT_s, true) | ||
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# ╔═╡ 3e4843e6-fcd6-4b7f-bcdc-9fb412aba795 | ||
begin | ||
ticks | ||
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price_plt = plot(cb_dt, cb_randomwalk, label="price", leg=:left, color=:cyan4) | ||
plot!(cb_dt, value.(value(ma_fast.lag)), label="ma_fast", color=:red) | ||
plot!(cb_dt, value.(value(ma_slow.lag)), label="ma_slow", color=:green) | ||
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rsi_plt = plot(cb_dt, value.(value(rsi_fast.lag)), label="rsi_fast", color=:red, leg=:left) | ||
plot!(cb_dt, value.(value(rsi_slow.lag)), label="rsi_slow", color=:green) | ||
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framerate_plt = plot(cb_dt, cb_framerate, label="framerate", leg=:left) | ||
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plot(price_plt, rsi_plt, framerate_plt, layout=(3, 1)) | ||
end | ||
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# ╔═╡ 1a842954-19fa-4ceb-8271-093651063150 | ||
begin | ||
ticks | ||
new_val = cb_randomwalk[end] + randn() | ||
push!(cb_randomwalk, new_val) | ||
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fit!(ma_fast, new_val) | ||
fit!(ma_slow, new_val) | ||
fit!(rsi_fast, new_val) | ||
fit!(rsi_slow, new_val) | ||
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dt = now(Dates.UTC) | ||
push!(cb_dt, dt) | ||
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new_time = datetime2unix(dt) | ||
delta = new_time - last_time[1] | ||
last_time[1] = new_time | ||
push!(cb_framerate, 1 / delta) | ||
end; | ||
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# ╔═╡ Cell order: | ||
# ╠═f78dc6f0-f725-4829-bda4-827b96bf1517 | ||
# ╠═3fd38d00-d413-11ee-35a1-a9c997e0c8fe | ||
# ╠═72e8c266-b3d4-45ad-be3f-36f74a9e3105 | ||
# ╠═3b5db701-72c9-4bba-8ea5-7b1d69217c4e | ||
# ╠═3e4843e6-fcd6-4b7f-bcdc-9fb412aba795 | ||
# ╠═1a842954-19fa-4ceb-8271-093651063150 |