Notes at Toronto Quant Trading Seminar powered by FXCM #FXCM #notes #powered #Quant #Seminar #Toronto #trading This was promoted by a local broker where FXCM provides the technology Aggregate of real time Bid ask spread Python package technical analysis Fully Fxcm py with back testing py ti https://github.com/kylejusticemagnuson/pyti GitHub python fxcm check London or Dublin expo code project PisAno: 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 Link: https://quantlabs.net/blog/2019/03/notes-at-toronto-quant-trading-seminar-powered-by-fxcm/

(Last Updated On: March 27, 2019)

Notes at Toronto Quant Trading Seminar powered by FXCM This was promoted by a local broker where FXCM provides the technology Aggregate of real time Bid ask spread Python package technical analysis Fully Fxcm py with back testing py ti https://github.com/kylejusticemagnuson/pyti GitHub python fxcm check London or Dublin expo code project PisAno: 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 Link: https://quantlabs.net/blog/2019/03/notes-at-toronto-quant-trading-seminar-powered-by-fxcm/

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Notes at Toronto Quant Trading Seminar powered by FXCM #FXCM #notes #powered #Quant #Seminar #Toronto #trading This was promoted by a local broker where FXCM provides the technology Aggregate of real time Bid ask spread Python package technical analysis Fully Fxcm py with back testing py ti https://github.com/kylejusticemagnuson/pyti GitHub python fxcm check London or Dublin expo code project PisAno: 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 Link: https://quantlabs.net/blog/2019/03/notes-at-toronto-quant-trading-seminar-powered-by-fxcm/

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About caustic

Hi i there My name is Bryan Downing. I am part of a company called QuantLabs.Net This is specifically a company with a high profile blog about technology, trading, financial, investment, quant, etc. It posts things on how to do job interviews with large companies like Morgan Stanley, Bloomberg, Citibank, and IBM. It also posts different unique tips and tricks on Java, C++, or C programming. It posts about different techniques in learning about Matlab and building models or strategies. There is a lot here if you are into venturing into the financial world like quant or technical analysis. It also discusses the future generation of trading and programming Specialties: C++, Java, C#, Matlab, quant, models, strategies, technical analysis, linux, windows P.S. I have been known to be the worst typist. Do not be offended by it as I like to bang stuff out and put priorty of what I do over typing. Maybe one day I can get a full time copy editor to help out. Do note I prefer videos as they are much easier to produce so check out my many video at youtube.com/quantlabs