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# Live example - Try this in the app!
BACKTEST_CONFIG = {
'start_date': '20240101',
'end_date': '20240201',
'initial_capital': 10000
}
def on_bar_close(data_contexts, portfolio, state):
"""Simple momentum strategy"""
data = data_contexts['SPY']
# Buy when price crosses above 20-day average
if data.close > data.sma(20) and portfolio.position('SPY') == 0:
shares = int(portfolio.cash * 0.95 / data.close)
buy('SPY', shares)
# Sell when price drops below average
elif data.close < data.sma(20) and portfolio.position('SPY') > 0:
sell_all('SPY')
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Typical user: Managing substantial capital, running multiple strategies, needs institutional-grade features
Most successful users follow this path:
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Join thousands of traders using data to validate their ideas.
Classic trend-following strategy using moving averages.
Trade price extremes with statistical boundaries.
Ride strong trends with proper risk management.
Protect capital with stops and position sizing.
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