flow chart for quant strategies
TRANSCRIPT
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7/25/2019 Flow Chart for Quant Strategies
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Trade System DevelopmentFlow Chart
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Return Objective: 90%
Ideal t-score: 3.50
Ruin: -30%
Time Horizon (Trades): 1000
Start
Objectives
Paradigm
ShiftDefine the Base System
(Theory) & Null-
Hypothesis
Entry Rules
Exit RulesFilters
Execution Rules
Time Frame
Backtest
Base
System
Sample Data
Out - SampleIn -SampleBacktest Base System
Backtest
Reports
Add one new
rule
Optimize
BacktestYes
No
Is the t-score greater
then the Critical (t)Value?
Yes No
(Start over)
Is the t-score greater
then the Critical (t)Value?
(Drop Rule)
(Add Rule to the
base system)
NoIs the t-score
greater then Ideal
t-score Number?
Yes
Test robustness, runon multiple time
frames
Are the other timeframe
higher than the Critical (t)
Value?
No (Start over)
Yes
Reject the Null-
Hypothesis
1
1Backtest system on
entire sample.
Apply risk
management and
run Monte CarloDoes the Monte Carlos
meet the defined
objectives?
No (Start over)
Yes
Did the run
meet the
objectives?No
Start over
Curve fitted
Yes
Walk Forward
Testing
Chi Distribution
Test
System Pass
or fail the Chi
test?
Fail
Pass
Start over, check
execution rules!
Finish
Robustness
Report
Risk Management &
Monte Carlo
Walk
Forward
Report
Chi -
squared
test
Full -run
Report
Keep the In-Sample to a small
portion of the entire sample in
order to avoid curve fitting and to
When running live monitor trades and make sure
that the system is following the same probabilities
calculated with another Chi-test.
First rule should be
MAE and MFE
by: Aaron Soderstrom internal use only