Using Machine Learning in Trading and Finance
Tags: Coursera, Deep Learning, Finance, Trading
Categories: Quant
Updated:
Endogenous and Exogenous trading rule
- Endo: long/short decision based on price data
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Exgo: uses other factors to make decision
- Are stock price and voluem data sufficient to enter a trade
- Can patterns of past predict?
- Extrapolate data pattern?
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E.g.
- Monetary policy
- Geopolitical
- Derivative market
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Excit rules
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Profit-exit
- Bid-ask spread, Brokerage commisions, Exchange fees
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Stopped out losses
- Close position at acceptable loss
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To reduce risk: stop-loss level based on risk
tolerance
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market noise can trigger temporary price drops
- volatilie and less liquid market
- Tight/Loose trade off between limiting risk and a lot of small losses
- Static Stop Loss
- Dynamic Stop Loss
- Variable Dynamic Stop Loss
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market noise can trigger temporary price drops
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Time out Exit
- Can’t risk holding overnight
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Profit-exit
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