- use python 2.7
- systematic and swing trading, based on the concepts in "CIMTR" and others. As I'm getting busier each day, most scripts will remain as simple notes from readings
- You can contribute to the project by reporting bugs, suggesting enhancements, exchanging portfolio management experiences or
you can make a donation to this project:
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- Leveraged investment are amplified compared to an otherwise identical unleveraged investment. Gains are higher and losses are worse, so it is a high risk/high reward strategy. The return on a leveraged investment can be calculated as:
- R_li = R_ui + [(D/E) * (R_ui - c)]
- R_li = (Ending value with leverage - starting value with leverage - borrowing cost) / start value with leverage
-- R_li: leveraged return
-- R_ui: unleveraged return
-- D/E : borrowing ratio
-- c : cost of borrowing