gate-news-eventexplain

The "Why is it pumping/dumping?" Skill. When the market experiences abnormal volatility and the user asks why, the system traces the event source through multi-step calls, cross-references market data to verify impact magnitude, and delivers a complete "Event → Impact Chain → Market Reaction" analysis report.

Trigger Scenarios: User expresses curiosity about a market anomaly, e.g., "why did BTC crash", "what just happened", "why did ETH suddenly spike".

Routing Rules

Execution Workflow

Step 1: Intent Recognition & Parameter Extraction

Extract from user input:

• coin: The coin involved (e.g., BTC, ETH; may be empty = overall market)
• direction: Up or down (aids search)
• time_hint: Time clue ("just now", "today", "yesterday"; default: past 24h)

Step 2: Phase 1 — Event Search + Market Verification (Parallel)

Both Tools called in parallel.

Step 3: Decision Branch

events response
    │
    ├── Matching event found (event time aligns with volatility onset)
    │   └── → Step 4a: Get event details
    │
    └── No clear event match
        └── → Step 4b: Expand news search

Step 4a: Event Found → Get Details + On-chain Verification

Step 4b: No Event Found → Expand Search

Step 5: LLM Attribution Reasoning

The LLM must complete the following reasoning chain:

1. Confirm the volatility: Based on the market snapshot, confirm the timing, magnitude, and volume change
2. Identify the trigger event: From events/news, find the event with the closest time alignment
3. Verify causality: Did the event precede the price move? Is there corresponding on-chain activity?
4. Assess the impact chain: Event → Direct impact → Sentiment transmission → Price reaction
5. Evaluate follow-on potential: Based on the event's nature, assess whether the impact is short-term or sustained

Step 6: Output Structured Report

Report Template

## {coin} {Pump/Dump} Attribution Analysis

> Analysis time: {timestamp}

### 1. Volatility Summary

| Metric | Value |
|--------|-------|
| Current Price | ${price} |
| Move Magnitude | {change}% (within {timeframe}) |
| High | ${high} ({time}) |
| Low | ${low} ({time}) |
| Volume Change | {volume_change}% (vs 24h average) |
| Futures Liquidations | ${liquidation} (if available) |

### 2. Core Triggering Event

🔴 **{event_title}**

- Event Time: {event_time}
- Event Type: {Regulation / Project Development / Market Manipulation / Macro Economic / Technical Failure / Whale Activity}
- Details: {2-3 sentence description}
- Source: {source}

### 3. Event → Impact Chain

{event} │ ├── Direct Impact: {description} │ e.g., SEC lawsuit → Regulatory uncertainty for the token increases │ ├── Sentiment Transmission: {description} │ e.g., Panic spreads → Fear & Greed Index drops from 65 to 35 │ └── Price Reaction: {description} e.g., {coin} dropped from ${high} to ${low} within 2 hours of the event

### 4. On-chain Verification

{If on-chain data is available:}

| On-chain Metric | Anomaly |
|----------------|---------|
| Exchange Inflows | {increase/decrease}, {description} |
| Large Transfers | {count} transfers exceeding ${threshold} |
| Whale Activity | {description} |
| Futures Funding Rate | {change description} |

{Does the on-chain data corroborate the event narrative?}

### 5. Ripple Effects

{Did this event affect other coins/sectors?}

- {Related coin 1}: {impact description}
- {Related coin 2}: {impact description}
- Sector impact: {e.g., L1 sector declined broadly, DeFi sector affected}

### 6. Forward Outlook

{Based on the event's nature, assess the follow-on impact:}

| Dimension | Assessment |
|-----------|------------|
| Impact Duration | {One-time shock / Short-term (1-3 days) / Medium-term (1-2 weeks) / Long-term} |
| What to Watch Next | {Items to monitor: court ruling, policy details, project response, etc.} |
| Historical Precedent | {Similar past events and their outcomes, if any} |

### ⚠️ Important Notes

- Market moves may be caused by multiple overlapping factors; the above analysis is based on currently available information
- Long-term impact of the event remains uncertain

> The above analysis is based on public information and on-chain data. It does not constitute investment advice.

Template When No Event Can Be Identified

## {coin} Volatility Analysis

> Analysis time: {timestamp}

### Volatility Summary

{Same as above}

### Possible Cause Analysis

⚠️ No single clear triggering event was identified. The following is a composite analysis:

**Possible Factor 1: {description}**
- Evidence: {related news/data}
- Likelihood: {High/Medium/Low}

**Possible Factor 2: {description}**
- Evidence: ...
- Likelihood: ...

**On-chain Clues**
{Any anomalous on-chain data that could help explain the move?}

### Composite Assessment

{LLM's composite analysis, with uncertainty explicitly acknowledged}

> Note: No single clear triggering event was found for this move. The above analysis is an informed assessment based on available data.

Reasoning Logic

Event Matching Logic

Volatility Magnitude Assessment

On-chain Anomaly Assessment

Error Handling

Cross-Skill Routing

Safety Rules

1. No definitive causal claims: Use language like "likely caused by", "the most closely related event is" — avoid absolute causal assertions
2. No follow-on predictions: Do not output "it will continue to rise/fall" style predictions
3. No investment advice: Do not give buy/sell recommendations based on event analysis
4. Acknowledge uncertainty: When the causal link between event and move is uncertain, explicitly state it
5. Source attribution: Events and news must cite their sources
6. Flag missing data: When on-chain data or event details are unavailable, explicitly state it
7. Avoid amplifying panic: When describing crashes or black-swan events, maintain objective, neutral language — no sensationalist rhetoric