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Original Sales Page: https://quantra.quantinsti.com/all-courses-bundle
[Premium] Quantra Quantinsti – All Courses Bundle |
8 Learning Tracks – 50+ Courses
WHY GO FOR ALL COURSES ?
Highest Possible Savings
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Immerse in unique and exclusive set of quant trading courses, tailored for your success
Learn trading strategies, machine learning, options trading, portfolio management & live trading
Develop a solid foundation in quant trading, covering essential concepts, strategies, and tools
8 LEARNING TRACKS – FROM NOVICE TO NINJA
Track 1 : Algorithmic Trading for Beginners
Use 25+ strategies like Intraday Trading, Machine Learning, and Quant techniques to optimize your trading portfolio.
Track 2 : Technical Analysis Using Quantitative Methods
Technical indicators and candlesticks, sentiment trading, swing trading, volatility trading and backtesting.
Track 3 : Quantitative Trading in Futures and Options Markets
Options pricing models and strategies such as gamma scalping, dispersion and delta hedging diversified futures trading strategies.
Track 4 : Machine Learning & Deep Learning in Trading – I
From data cleaning aspects to optimising AI models, learn how to create your prediction algorithms using classification and regression techniques.
Track 5 : Machine Learning & Deep Learning in Trading – II
Step-wise training on the complete lifecycle of trading strategies and portfolio management using machine learning. Learn from experts!
Track 6 : Algorithmic Trading in Cryptocurrency and Forex
8+ strategies such as Ichimoku Cloud, Aroon Indicator, unsupervised learning and pairs trading to trade cryptocurrencies & FX markets effectively.
Track 7 : Portfolio Management and Position Sizing using Quantitative Methods
Apply effective position sizing techniques and optimise your portfolio. Include machine learning to gain a competitive edge.
Track 8 : Advanced Algorithmic Trading Strategies
A series of courses where you will learn more than 18+ new strategies such as mean-reversion, index arbitrage, long-short, breakout, ARIMA, GARCH
