X Research

X Research

The X Research skill is a real-time sentiment engine. It taps directly into the financial subcultures of X (Twitter), extracting high-signal analysis from fund managers, corporate executives, and algorithmic traders, while aggressively filtering out the millions of spam bots and retail noise.

Why Trade the Timeline?

Financial news networks are slow. By the time a headline hits the television, the information is already priced into the stock market. In modern finance, breaking news, activist short reports, CEO resignations, and massive strategy shifts almost always happen on X (Twitter) first.

More importantly, the market is driven by narrative. A stock's fundamentals might be terrible, but if a powerful narrative takes hold on "FinTwit" (Financial Twitter), the stock can rally 200% on pure sentiment alone. If you are not monitoring the real-time social narrative, you are trading blind.

However, searching X manually is a nightmare. It is flooded with spam bots spamming cryptocurrency airdrops, fake gurus selling courses, and low-signal retail traders screaming into the void.

The X Research skill solves this. It acts as an autonomous data miner. It runs complex, multi-operator queries across the X timeline, isolating highly liked, high-signal tweets from verified experts, and synthesizes the raw data into a clean, actionable sentiment briefing.

How Pierce AI Executes It

When you ask Pierce to check the social pulse on a given ticker or topic, it runs an agentic extraction loop:

1. Query Decomposition: Pierce doesn't just search "$TSLA." It attacks the question from multiple angles. It runs separate queries for bearish signals (e.g., $TSLA (overvalued OR bubble OR risk)), bullish signals, and specific expert voices (from:username).
2. Noise Eradication: Pierce applies algorithmic filters natively. It restricts queries to original posts only (ignoring hundreds of useless replies), adds strict min_likes thresholds to guarantee engagement quality, and aggressively blocks crypto spam (e.g., -airdrop -giveaway).
3. Execution & iteration: It pulls the raw feed using the native x_search compute tool. If the query returns 10,000 garbage tweets, Pierce autonomously tightens the filters and re-runs the search until it finds pure signal.
4. Synthesis Engine: Pierce reads the isolated high-quality tweets, groups them by theme, and writes a professional briefing quantifying exactly what the social consensus is.

Key Metrics & Deliverables

By running the X Research skill, you receive a perfectly curated social intelligence report:

• The Sentiment Themes: Grouped findings broken down cleanly (e.g., "The Bullish Catalyst Theme," "The Macro Bearish Theme").
• Direct Sourcing: Exact quotes from influential accounts regarding your topic, complete with the amount of "Likes" the tweet received to verify its algorithmic reach, and a direct hyperlink to the original post.
• The Overall Verdict: A concise summary detailing the predominant tone (Bullish, Bearish, or Mixed) and an assessment of confidence levels.
• Retail vs. Institutional Divergence: Pierce will explicitly note if high-follower fund managers are saying one thing, but the retail crowd is saying another.

Example Prompts & Use Cases

You can actively push Pierce to harvest the timeline using these specific prompts:

• "What is FinTwit saying about the new Apple product launch? Run an X Research report."
• "Check X/Twitter sentiment on $NVDA today. Are people bullish going into earnings?"
• "Search X for thoughts on the Federal Reserve rate hike. Give me only high-signal expert takes."
• "Run a bearish scan on PLTR. What are the critics on Twitter focused on right now?"

By explicitly asking to "search X," check "Twitter sentiment," or "What is CT (Crypto Twitter) saying," you trigger the multi-query extraction.

Methodology Notes & Limitations

X is the fastest news source in the world, but it is also the most volatile. Keep these guardrails active:

• Sentiment is Not Reality: Just because every timeline on X is massively bullish on a stock does not mean the stock will go up. A wildly bullish, euphoric sentiment read is often a contrarian indicator that the trade is too "crowded" and a vicious pullback is imminent.
• The Short-Term Window: The X Research skill prioritizes the now. It generally searches the last 7 to 14 days of data to give you the immediate narrative momentum. It is not designed to pull tweets from five years ago.
• Vocal Minority Bias: Remember that angry and extremely euphoric people tweet the most. The rational, quiet institutions are rarely posting their theses publicly. Use X Research for narrative momentum, but always verify the trade with technical and fundamental data.

Built for the Narrative Trader

Markets run on stories. The X Research skill ensures you never miss a plot twist. By autonomously filtering the spam and extracting direct quotes from legitimate market operators, it gives you a real-time feed directly into the collective psychology of Wall Street—all without ever having to open the app yourself.

Note: The X Research skill heavily utilizes live, external data fetching via the x_search API loop and is included in the Pro tier.