This strategy is a fully automated AI-powered quantitative trading workflow designed for RWA tokenized US stock perpetual contracts. It integrates three core modules — market news sentiment analysis, multi-dimensional technical indicator computation, and intelligent trading decision-making — triggered on an hourly basis to complete the full cycle from data collection to trade execution automatically.

Strategy Background

Tokenized US stocks map traditional securities onto the blockchain, allowing users to trade US stock contracts directly with cryptocurrency without opening overseas brokerage accounts. This strategy builds its analytical foundation on real US stock daily data rather than on-chain data. Since tokenized stock prices ultimately converge toward actual stock prices over time, traditional market data offers greater stability, higher technical indicator reliability, and eliminates risks associated with oracle failures and other on-chain technical anomalies.

Data Collection Layer

The workflow is triggered on an hourly schedule and launches three parallel data pipelines simultaneously:

• Position Data Pipeline: Reads current contract position status from the exchange in real time, including direction, size, and average cost
• Market Sentiment Pipeline: Calls a financial data API to retrieve news and sentiment signals for the target asset
• Candlestick & Indicator Pipeline: Pulls US stock daily data and computes four core technical indicators — MACD, RSI, ATR, and OBV — covering trend direction, momentum strength, volatility range, and volume analysis respectively

AI Analysis Engine

After the three data streams are standardized and merged, they flow sequentially through two AI analysis nodes:

1. Sentiment Analysis Node: A large language model performs deep parsing of news text and outputs structured JSON containing a short-term sentiment score (immediate market reaction) and a long-term sentiment score (fundamentals and macroeconomic environment), each ranging from -1 to 1

2. Trading Analysis Node: Synthesizes position status, sentiment scores, and technical indicators to generate a formatted analysis report covering current position assessment, short-term trading recommendations (1–7 days, suggested 30–50% position sizing), long-term investment outlook (1–4 weeks, suggested 20–30% position sizing), key indicator interpretation, and risk warnings — pushed to a Telegram channel in real time

Intelligent Decision-Making & Execution

The analysis report is simultaneously fed into the trading decision node, which evaluates MACD signal strength, RSI overbought/oversold conditions, volume trends, and position cost to output one of five instructions: Open Long, Open Short, Close Long, Close Short, or No Action. The corresponding instruction triggers the relevant contract execution node, with real-time mobile push notifications sent to the user.

When "No Action" is selected, a stop-loss/take-profit detection plugin is additionally triggered as a final risk control layer: positions are automatically closed at a 3% profit target or a 1% loss threshold, dynamically maintaining safe risk boundaries.

Key Features

• Position-Aware Priority Logic: When positions exist, risk management takes precedence; when no positions exist, the focus shifts to identifying optimal entry opportunities
• Dual Time Horizon Analysis: Short-term signals and long-term trends are analyzed in separate layers with differentiated position sizing strategies
• End-to-End Automation: Data retrieval, AI analysis, trade execution, and push notifications are fully integrated with no manual intervention required
• Embedded Risk Control: Every decision cycle includes explicit stop-loss level configuration and dynamic stop-loss/take-profit detection

Risk Disclaimer: This strategy remains in an experimental stage. Tokenized US stock markets may have limited liquidity, with potential price de-pegging and slippage risks. AI decision-making is subject to misjudgment, and high-leverage contracts can result in rapid margin loss. It is strongly recommended to validate thoroughly in paper trading first, maintain strict position and leverage controls, and never rely solely on AI decisions as the final judgment.

Vedio Link：RWA Stocks Workflow