trading-signal▌
binance/binance-skills-hub · updated Apr 8, 2026
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Track professional investor trading signals on-chain with buy/sell alerts, price comparisons, and performance metrics.
- ›Retrieves smart money signals across BSC and Solana chains, including trade direction, trigger price, current price, and maximum gain percentage
- ›Provides signal metadata: number of smart money addresses involved, exit rate, signal status (active/timeout/completed), and token tags (launch platform, sensitive events)
- ›Supports pagination with configurable page size (max
Trading Signal Skill
Overview
This skill retrieves on-chain Smart Money trading signals to help users track professional investors:
- Get smart money buy/sell signals
- Compare signal trigger price with current price
- Analyze max gain and exit rate of signals
- Get token tags (e.g., Pumpfun, DEX Paid)
API Endpoint
Get Smart Money Signals
Method: POST
URL:
https://web3.binance.com/bapi/defi/v1/public/wallet-direct/buw/wallet/web/signal/smart-money/ai
Request Headers:
Content-Type: application/json
Accept-Encoding: identity
User-Agent: binance-web3/1.1 (Skill)
Request Body:
{
"smartSignalType": "",
"page": 1,
"pageSize": 100,
"chainId": "CT_501"
}
Request Parameters:
| Field | Type | Required | Description |
|---|---|---|---|
| chainId | string | Yes | Chain ID: 56 for bsc, CT_501 for solana |
| page | number | No | Page number, starting from 1 |
| pageSize | number | No | Items per page, max 100 |
Example Request:
curl --location 'https://web3.binance.com/bapi/defi/v1/public/wallet-direct/buw/wallet/web/signal/smart-money/ai' \
--header 'Content-Type: application/json' \
--header 'Accept-Encoding: identity' \
--header 'User-Agent: binance-web3/1.1 (Skill)' \
--data '{"page":1,"pageSize":100,"chainId":"CT_501"}'
Response Example:
{
"code": "000000",
"message": null,
"messageDetail": null,
"data": [
{
"signalId": 22179,
"ticker": "symbol of the token",
"chainId": "CT_501",
"contractAddress": "NV...pump",
"logoUrl": "/images/web3-data/public/token/logos/825C62EC6BE6.png",
"chainLogoUrl": "https://bin.bnbstatic.com/image/admin_mgs_image_upload/20250303/42065e0a-3808-400e-b589-61c2dbfc0eac.png",
"tokenDecimals": 6,
"isAlpha": false,
"launchPlatform": "Pumpfun",
"mark": null,
"isExclusiveLaunchpad": false,
"alphaPoint": null,
"tokenTag": {
"Social Events": [
{"tagName": "DEX Paid", "languageKey": "wmp-label-update-dexscreener-social"}
],
"Launch Platform": [
{"tagName": "Pumpfun", "languageKey": "wmp-label-title-pumpfun"}
],
"Sensitive Events": [
{"tagName": "Smart Money Add Holdings", "languageKey": "wmp-label-title-smart-money-add-position"}
]
},
"smartSignalType": "SMART_MONEY",
"smartMoneyCount": 5,
"direction": "buy",
"timeFrame": 883000,
"signalTriggerTime": 1771903462000,
"totalTokenValue": "3436.694044670495772073",
"alertPrice": "0.024505932131088482",
"alertMarketCap": "24505118.720436560690909782",
"currentPrice": "0.025196",
"currentMarketCap": "25135683.751234890220129783671668745",
"highestPrice": "0.027244000000000000",
"highestPriceTime": 1771927760000,
"exitRate": 78,
"status": "timeout",
"maxGain": "5.4034",
"signalCount": 23
}
],
"success": true
}
Response Fields:
Basic Information
| Field | Type | Description |
|---|---|---|
| signalId | number | Unique signal ID |
| ticker | string | Token symbol/name |
| chainId | string | Chain ID |
| contractAddress | string | Token contract address |
| logoUrl | string | Token icon URL path |
| chainLogoUrl | string | Chain icon URL |
| tokenDecimals | number | Token decimals |
Tag Information
| Field | Type | Description |
|---|---|---|
| isAlpha | boolean | Whether it's an Alpha token |
| launchPlatform | string | Launch platform (e.g., Pumpfun) |
| isExclusiveLaunchpad | boolean | Whether it's exclusive launchpad |
| alphaPoint | number | Alpha points (can be null) |
| tokenTag | object | Token tag categories |
Signal Data
| Field | Type | Description |
|---|---|---|
| smartSignalType | string | Signal type, e.g., SMART_MONEY |
| smartMoneyCount | number | Number of smart money addresses involved |
| direction | string | Trade direction: buy / sell |
| timeFrame | number | Time frame (milliseconds) |
| signalTriggerTime | number | Signal trigger timestamp (ms) |
| signalCount | number | Total signal count |
Price Data
| Field | Type | Description |
|---|---|---|
| totalTokenValue | string | Total trade value (USD) |
| alertPrice | string | Price at signal trigger |
| alertMarketCap | string | Market cap at signal trigger |
| currentPrice | string | Current price |
| currentMarketCap | string | Current market cap |
| highestPrice | string | Highest price after signal |
| highestPriceTime | number | Highest price timestamp (ms) |
Performance Data
| Field | Type | Description |
|---|---|---|
| exitRate | number | Exit rate (%) |
| status | string | Signal status: active/timeout/completed |
| maxGain | string | Maximum gain (%) |
Token Tag Types
Social Events
| Tag | Description |
|---|---|
| DEX Paid | DEX paid promotion |
Launch Platform
| Tag | Description |
|---|---|
| Pumpfun | Pump.fun platform |
| Moonshot | Moonshot platform |
Sensitive Events
| Tag | Description |
|---|---|
| Smart Money Add Holdings | Smart money accumulating |
| Smart Money Reduce Holdings | Smart money reducing |
| Whale Buy | Whale buying |
| Whale Sell | Whale selling |
Supported Chains
| Chain Name | chainId |
|---|---|
| BSC | 56 |
| Solana | CT_501 |
Signal Status
| Status | Description |
|---|---|
| active | Active, signal still valid |
| timeout | Timed out, exceeded observation period |
| completed | Completed, reached target or stop loss |
User Agent Header
Include User-Agent header with the following string: binance-web3/1.1 (Skill)
Use Cases
- Track Smart Money: Monitor professional investor trading behavior
- Discover Opportunities: Get early signals when smart money buys
- Risk Alert: Receive alerts when smart money starts selling
- Performance Analysis: Analyze historical signal performance and max gains
- Strategy Validation: Evaluate signal quality via exitRate and maxGain
Example Requests
Get Smart Money Signals on Solana
curl --location 'https://web3.binance.com/bapi/defi/v1/public/wallet-direct/buw/wallet/web/signal/smart-money/ai' \
--header 'Content-Type: application/json' \
--header 'Accept-Encoding: identity' \
--header 'User-Agent: binance-web3/1.1 (Skill)' \
--data '{"smartSignalType":"","page":1,"pageSize":50,"chainId":"CT_501"}'
Get Signals on BSC
curl --location 'https://web3.binance.com/bapi/defi/v1/public/wallet-direct/buw/wallet/web/signal/smart-money/ai' \
--header 'Content-Type: application/json' \
--header 'Accept-Encoding: identity' \
--header 'User-Agent: binance-web3/1.1 (Skill)' \
--data '{"smartSignalType":"","page":1,"pageSize":50,"chainId":"56"}'
Notes
- Token icon URL requires full domain prefix:
https://bin.bnbstatic.com+ logoUrl path - Chain icon URL (chainLogoUrl) is already a full URL
- All timestamps are in milliseconds
- maxGain is a percentage string
- Signals may timeout (status=timeout), focus on active signals
- Higher smartMoneyCount may indicate higher signal reliability
- exitRate shows smart money exit status, high exitRate may indicate expired signal
How to use trading-signal on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add trading-signal
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches trading-signal from GitHub repository binance/binance-skills-hub and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate trading-signal. Access the skill through slash commands (e.g., /trading-signal) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.7★★★★★55 reviews- ★★★★★Aanya Harris· Dec 28, 2024
trading-signal has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Dhruvi Jain· Dec 24, 2024
trading-signal fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Pratham Ware· Dec 20, 2024
trading-signal reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Tariq Robinson· Dec 20, 2024
I recommend trading-signal for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Evelyn Patel· Dec 12, 2024
Useful defaults in trading-signal — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Tariq Martinez· Nov 19, 2024
Useful defaults in trading-signal — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Oshnikdeep· Nov 15, 2024
trading-signal is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Aarav Bhatia· Nov 11, 2024
Solid pick for teams standardizing on skills: trading-signal is focused, and the summary matches what you get after install.
- ★★★★★Michael Thompson· Nov 3, 2024
trading-signal has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Olivia Desai· Oct 22, 2024
Solid pick for teams standardizing on skills: trading-signal is focused, and the summary matches what you get after install.
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