Automated RWA Stock Perpetual Trading with Sentiment and Technical Signals

Summary

This workflow describes an automated approach to tokenized US stock perpetual contracts. On a scheduled cycle, it collects current position details, news sentiment, and daily US equity candles. It computes MACD, RSI, ATR, and OBV, then uses language-model steps to score short- and longer-horizon sentiment and combine those scores with technical indicators and position information.

A decision step selects among opening or closing a long or short position, or taking no action, and routes that choice to contract execution with mobile notifications. The workflow also describes a stop-loss and take-profit check when no action is chosen, with stated thresholds of 1% loss and 3% profit. It prioritizes risk review when a position exists and gives separate position-sizing suggestions for short and longer horizons. This is an implementation outline rather than empirical evidence: no backtest results or validation are presented. The document itself flags experimental status, thin liquidity, de-pegging, slippage, AI errors, and leverage-related losses as material risks.

Key ideas

• The workflow combines exchange position data, financial news, and daily stock indicators in an automated decision cycle.
• A language model scores short- and longer-term sentiment before a second analysis step produces a trade recommendation.
• Execution choices include opening or closing either direction, or taking no action.
• The workflow describes profit and loss thresholds as an additional risk check when no action is selected.
• No performance validation is provided, and the document identifies liquidity, price divergence, slippage, and model error risks.

Tags

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.