
Retrieve and plot historical forex data from Alphien sources, loading tickers such as the Japanese yen with notebooks and basic to advanced analytics including Bollinger bands.
learn momentum strategy by ranking currency pairs with the roic mass method, generate trading signals from monthly data, and backtest the basket to compare currency performance.
Explore how the z-score model analyzes forex spreads using moving averages and backtesting to build mean-reverting indicators for predictive analysis.
Learn to use source qlib to access alpha and packets, avoiding the deprecated source alpha exit. Stay ahead of upcoming deprecations in Python setups.
Alphien SAS has a variety of tools such as notebooks and data explorers that people can use for developing custom quant trading algorithms. This course will introduce you to some of these tools, as well as inform you on how to make you own trading strategies, backtesting, and things you can do that will help you become an entry level quant trader.