Swing Trader ($2.5K per position): High Volatility Stocks for Active Trading (TA&FA)
Description:
This AI Robot is designed to cater to the needs of traders who prefer trading in high volatility stocks but do not want to incur significant losses during downtrends. The robot uses a combination of technical indicators to identify reversal points, which enables it to balance short and long positions and prevent prolonged drawdowns.
The robot comes equipped with a basic risk management strategy that is tailored for a trading balance of $100,000 and a position size of $2,500 per trade. Traders can adjust their trading balance according to their requirements, and the position size will adjust proportionally. For example, if the trading balance is changed to $50,000, the position size will automatically adjust to $1,250.
The robot is suitable for active traders who have enough time to track 40-50 trades at once. The average duration of a trade is one day, which allows users to efficiently utilize their capital and avoid getting stuck in a trade for an extended period.
To select stocks, the robot uses a proprietary method developed by a team of quants to assess the strength and quality of momentum of the most active stocks in the US stock market. Furthermore, a complex algorithm consisting of a pool of technical indicators processed using neural networks determines the entry points to the position.
Once the robot enters a trade, it places a fixed "Take profit" order at the level of 3.5% of the position opening price. To exit a position, the robot uses two options: a fixed stop loss of 3% of the position opening price and a flexible trailing stop that enables traders to retain most of their profit if the market reverses.
The robot's trading results are presented without using margin. To view the full trading statistics and equity chart, traders can click on the "show more" button on the robot page. The "Open Trades" tab displays how the robot selects equities, enters and exits in paper trades. The "Closed Trades" tab enables users to review all prior trades made by the 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 03.14.2023.
Summary (21 days)
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