Swing Trader: High Volatility Stocks for Active Trading (TA&FA)
Description:
If you're a trader who prefers high-volatility stocks but wants to avoid significant drawdowns during downtrends, our AI robot might be just what you need. Our robot uses a pool of technical indicators to identify uptrend reversal points, which allows it to balance short and long positions and prevent long drawdowns.
This robot is for active traders who can handle monitoring 40-50 trades at the same time. The average duration of a transaction is one day, so our users can make effective use of their capital without getting stuck in trades for long periods.
To select stocks, our robot uses a new proprietary method developed by our team of quants that assesses the strength and quality of momentum in the most active stocks in the US stock market. A complex algorithm, consisting of a pool of technical indicators processed using neural networks, determines the entry points to the position.
Once the trade is entered, our AI Robot places a fixed "Take Profit" order at 3.5% of the position opening price. To exit a position, the robot uses two options: a fixed stop loss at 3% of the position opening price and a flexible trailing stop that can help save most of the profit if the market reverses.
The robot's trading results are shown without using a margin. For a comprehensive view of the robot's performance statistics and equity chart, click the "show more" button on the robot page. In the "Open Trades" tab, users can see live how the AI Robot selects equities, enters, and exits in paper trades. In the "Closed Trades" tab, users can review all previous trades made by the AI Robot.
Disclaimer. The presented paper traded results (annualized returns, % wins/loss, and other statistics) are achieved by the application of the backtested and forward tested models. The past backtested and forward tested performance should not be taken as an indication or guarantee of future performance, and no representation or warranty, expressed or implied is made regarding future performance. Forward testing started on 01.05.2023.
Summary (160 days)
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