A 'Strategy' is a combination of various conditions that define when to buy or sell a particular Trading Symbol on predefined algorithms to trade. For every trading strategy, one needs to define assets to trade, entry/exit points, and money management rules.
Algorithmic Trading strategies are based on technical analysis. They are usually verified by backtesting & optimization where the process should follow the scientific method, and by forward testing e.g. 'paper trading' where they are tested in a simulated trading environment[A2]
The KEEV platform enables users to make Algorithmic trading strategies without programming.
KEEV provides the KEEV Canvas, which is a simple as selecting technical indicators, keying in stop loss and target profit percentage and selecting the stocks you want to trade with to rapidly create and iterate on strategies.
Below is an example of a simple Algo that a user can create :
This Algo, when converted to a strategy using the strategy builder, looks like :
Users can choose from over (Add num+) indicators and candlestick patterns to create millions of strategies. Users can backtest these strategies to optimize them across different asset classes and further trade (paper and live) on the supported exchanges.