Notes at Toronto Quant Trading Seminar powered by FXCM

(Last Updated On: March 25, 2019)

This was promoted by a local broker where FXCM provides the technology


Aggregate of real time
Bid ask spread
Python package technical analysis
Fxcm py with back testing py ti

GitHub python fxcm check London or Dublin expo code project

Data driven model : more predictive on result of each data point
Expectancy: bell curve of result on stats
Money management system for positive expectancy
Eg. martingale to double down on result
Pisano uses:
Math model before it happens has deep learning model
Stat model updated in real time with stat model to change output get new parameter

Output is trade algorithmically and self learns and self adapt
Output file generated weekly
Based on mean reversion
Major pairs
No random walk
4m aum
2.3% drawdown 5% max depending on leverage up to 20%
Sharpe 4
Based on cointegration
Says forex volume is going up 😂😂😂😂😅😂

Refer to https://www.leaprate.com/forex/brokers/fxcm-non-us-volumes-drop-21-in-february-to-201-billion/

G7 fx pairs
Pure price no fundamental
Needs momentum
Cta and Osc is technology
Mql execution
Commodity tie to fx correlated

Shamsher vellani Pisano capital

Ernie Chan

NOTE I now post my TRADING ALERTS into my personal FACEBOOK ACCOUNT and TWITTER. Don't worry as I don't post stupid cat videos or what I eat!

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