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import sys |
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import streamlit as st |
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import pandas as pd |
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import time |
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from streamlit.components import v1 as components |
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from utils import complete_test |
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def complete_backtest(): |
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st.markdown( |
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""" |
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# Algorithmic Trading Dashboard |
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## Evaluate Strategy |
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""" |
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) |
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limits = pd.read_csv('data/yahoo_limits.csv') |
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period_list = ['1d', '5d', '1mo', '3mo', '6mo', '1y', '2y', '5y', '10y', 'ytd', 'max'] |
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c1, c2 = st.columns(2) |
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with c1: |
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strategy = st.selectbox("Select Strategy", ['Order Block', 'Order Block with EMA', 'Structure trading'], index=2) |
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with c2: |
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swing_hl = st.number_input("Swing High/Low Window Size", min_value=1, value=10) |
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c1, c2 = st.columns(2) |
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with c1: |
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interval = st.selectbox("Select Interval", limits['interval'].tolist(), index=3) |
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with c2: |
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limit = limits[limits['interval'] == interval]['limit'].values[0] |
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idx = period_list.index(limit) |
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period_options = period_list[:idx + 1] + ['max'] |
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period = st.selectbox("Select Period", period_options, index=3) |
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if strategy == "Order Block with EMA": |
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c1, c2, c3 = st.columns(3) |
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with c1: |
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ema1 = st.number_input("Fast EMA Length", min_value=1, value=9) |
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with c2: |
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ema2 = st.number_input("Slow EMA Length", min_value=1, value=21) |
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with c3: |
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cross_close = st.checkbox("Close trade on EMA crossover", value=False) |
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else: |
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ema1, ema2, cross_close = None, None, None |
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multiprocess = st.checkbox("Multiprocess", value=True) |
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if st.button("Run"): |
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start = time.time() |
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st.session_state.results = complete_test(strategy, period, interval, multiprocess, swing_hl=swing_hl, ema1=ema1, ema2=ema2, cross_close=cross_close) |
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st.success(f"Analysis finished in {round(time.time()-start, 2)} seconds") |
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if "results" in st.session_state: |
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st.write("⬇️ Select a row in index column to get detailed information of the respective stock run.") |
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cols = ['stock', 'Start', 'End', 'Return [%]', 'Equity Final [$]', 'Buy & Hold Return [%]', '# Trades', 'Win Rate [%]', 'Best Trade [%]', 'Worst Trade [%]', 'Avg. Trade [%]'] |
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df = st.dataframe(st.session_state.results, hide_index=True, column_order=cols, on_select="rerun", selection_mode="single-row") |
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df.selection.rows = 1 |
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if df.selection.rows: |
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row = df.selection.rows |
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plot = st.session_state.results['plot'].values[row] |
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components.html(plot[0], height=1067) |
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complete_backtest() |