Turning X Posts into Binance TradFi Stock Perpetual Signals

Summary

This document describes an event-driven system that tracks posts from a selected X account and uses a large language model to extract named stocks, direction, confidence, and rationale. It filters out ambiguous or low-confidence posts, then checks whether each stock maps to a Binance TradFi equity perpetual contract. The stated focus is translating specialist commentary, such as analysis of AI and semiconductor supply chains, into structured trade ideas.

The system can send alerts or place trades sized as a share of account equity. It describes limiting concurrent positions and managing them with a fixed loss threshold and a profit trail that activates after gains. The document gives implementation settings and a workflow, but no performance results or validation evidence. It warns that posts can be wrong or stale, models can misread context, feeds can fail, and prices may move before execution. TradFi perpetuals also carry funding, liquidity, pricing, and rule-change risks, and do not confer stock ownership. It recommends observing signals in notification mode before enabling automated trading.

Key ideas

• An RSS feed supplies new posts, while stored identifiers help prevent duplicate analysis.
• A language model converts post text into ticker, direction, confidence, and rationale fields.
• Trades require a clear direction, sufficient confidence, and a matching TradFi equity contract.
• The system supports alerts or automated orders with position limits, a hard stop, and trailing profit exit.
• The document presents no results and identifies interpretation, latency, execution, and derivative risks.

Tags

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