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Quantitative Trading Course
Ntshetsa pele mosebetsi wa hao wa ditjhelete ka Quantitative Trading Course ya rona, e etseditsweng ditsebi tse batlang ho tseba botebo ba algorithmic trading. Kena ka hara tlhahiso ya di-algorithm, taolo ya data, le backtesting ho ntlafatsa maqheka a kgwebo. Ithute ho sebedisa dipalo tsa ditjhelete tse kang Sharpe Ratio le ROI, mme o hlohlomise maqheka a fapaneng ho kenyeletsa momentum le arbitrage. Fumana boiphihlelo bo sebetsang ho ngola ditlaleho le visualization ya data, ho netefatsa hore o ka hlahisa temohisiso e matla ya ditjhelete. Kena hona jwale ho fetola tsebo ya hao ya kgwebo.
- Tseba algorithmic trading: Hlahisa le ho ntlafatsa di-algorithm tsa kgwebo ka katleho.
- Sekaseka data ya ditjhelete: Bokella, hlatswa le ho laola data ya letoto la dinako ka bokgabane.
- Etsa backtesting: Kenyelletsa meralo mme o hlalose dipalo tsa tshebetso ka nepo.
- Ngola ditlaleho tsa ditjhelete: Hlophisa, bona ka mahlo le ho hlahisa temohisiso e tsamaiswang ke data ka ho hlaka.
- Sebedisa maqheka a kgwebo: Phethahatsa maqheka a momentum, arbitrage, le mean reversion.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Ntshetsa pele mosebetsi wa hao wa ditjhelete ka Quantitative Trading Course ya rona, e etseditsweng ditsebi tse batlang ho tseba botebo ba algorithmic trading. Kena ka hara tlhahiso ya di-algorithm, taolo ya data, le backtesting ho ntlafatsa maqheka a kgwebo. Ithute ho sebedisa dipalo tsa ditjhelete tse kang Sharpe Ratio le ROI, mme o hlohlomise maqheka a fapaneng ho kenyeletsa momentum le arbitrage. Fumana boiphihlelo bo sebetsang ho ngola ditlaleho le visualization ya data, ho netefatsa hore o ka hlahisa temohisiso e matla ya ditjhelete. Kena hona jwale ho fetola tsebo ya hao ya kgwebo.
Elevify advantages
Develop skills
- Tseba algorithmic trading: Hlahisa le ho ntlafatsa di-algorithm tsa kgwebo ka katleho.
- Sekaseka data ya ditjhelete: Bokella, hlatswa le ho laola data ya letoto la dinako ka bokgabane.
- Etsa backtesting: Kenyelletsa meralo mme o hlalose dipalo tsa tshebetso ka nepo.
- Ngola ditlaleho tsa ditjhelete: Hlophisa, bona ka mahlo le ho hlahisa temohisiso e tsamaiswang ke data ka ho hlaka.
- Sebedisa maqheka a kgwebo: Phethahatsa maqheka a momentum, arbitrage, le mean reversion.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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