# BingX Copy Trading Position Tracker & Trading Signals (`brilliant_gum/bingx-scraper`) Actor Scrape BingX copy trading leaderboard, track live open positions of top traders — including hidden ones — and generate Winners vs Losers trading signals. Full stats, real-time positions, and Three-Signal Analysis. No account needed. - **URL**: https://apify.com/brilliant\_gum/bingx-scraper.md - **Developed by:** [Yuliia Kulakova](https://apify.com/brilliant_gum) (community) - **Categories:** Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $45.00 / 1,000 trader scrapeds This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## BingX Copy Trading Scraper — Leaderboard + Live Positions + Trading Signals ![BingX Copy Trading Scraper](https://i.imgur.com/oKHzhMc.png) **See exactly what the best traders on BingX are doing right now.** Get their full stats, live open positions — even hidden ones — and AI-style trading signals, all in one run. No account needed. --- ### What You Get #### 📊 Full Trader Statistics Every trader comes with a complete performance profile: - **PNL (USDT)** — total profit and loss in dollars - **Win Rate %** — percentage of profitable trades - **Max Drawdown %** — worst peak-to-trough loss - **Equity (USDT)** — current account size - **Follower earnings** — how much their followers actually made - **Followers count** — how many copy traders follow them #### 📈 Live Open Positions — Including Hidden Ones For every trader you analyze, you get their **current open trades** in real time: - Coin (symbol) - Direction — Long or Short - Position value in USD - Average entry price - Leverage - Unrealized PNL **BingX traders can hide their positions** — but this scraper handles that too. When a trader hides their positions, we automatically reconstruct them from trade history by netting open vs close orders per symbol. You always get the full picture. #### 🎯 Winners vs Losers Trading Signals Our unique **Three-Signal Analysis** identifies which coins the top-performing traders are concentrated in right now: | Signal | Meaning | |--------|---------| | `STRONG_LONG` | All three signals agree — strong buy | | `LONG` | Two out of three signals agree — buy | | `NEUTRAL` | Signals conflict — skip | | `SHORT` | Two out of three signals agree — sell | | `STRONG_SHORT` | All three signals agree — strong sell | Each signal comes with a **confidence level** (HIGH / MEDIUM / LOW), systematic confirmation flag, and full breakdown: notional exposure, trader count, volume-weighted score. --- ### Four Modes, One Tool | Mode | What you get | Speed | |------|-------------|-------| | **Leaderboard** | Quick list of top traders with IDs | Fast (~1 min) | | **Positions** | Full stats + positions for specific traders | ~30s per trader | | **Full** | Leaderboard + stats + positions for everyone | ~30s per trader | | **Analytics** | Everything + Three-Signal trading signals | ~30s per trader | --- ### Why This Works BingX hosts hundreds of copy traders publicly on their leaderboard. This scraper visits each trader's page, intercepts the live API responses, and extracts everything — stats, positions, and trade history. Traders are then classified into **Winners** (top % by PNL) and **Losers** (bottom % by PNL). When Winners are heavily positioned on a coin and Losers are not — that's a signal. When all three of our independent scoring methods agree — that's a HIGH confidence signal. When Losers hold the opposite direction to Winners — that's systematic confirmation, the strongest possible signal. **The more traders you analyze, the stronger and more reliable the signals become.** We recommend at least 50 traders for analytics mode. --- ### Output Results are saved to the Apify dataset in two record types: **Trader records** (`_type: "trader"`) — one per trader, includes: - Full performance stats (PNL, win rate, drawdown, equity, followers) - Complete list of open positions with entry price, size, leverage - `positionsHidden` — whether the trader tried to hide their positions - `positionsReconstructed` — whether we rebuilt positions from trade history **Analytics record** (`_type: "analytics"`) — one per run, includes: - Market bias (BULLISH / BEARISH / NEUTRAL) - Winners count, Losers count, traders analyzed - Full ranked signal list with confidence levels and exposure scores - `systematicConfirmation` per coin — true when losers hold opposite direction Use the built-in **Traders** and **Signals** dataset views to instantly filter by type. Export to JSON, CSV, or connect via API. --- ### Pricing **$0.045 per trader** — ~$45 per 1,000 traders. One charge covers everything: full stats, open positions, and analytics signals. | Traders | Cost | Time estimate | |---------|------|---------------| | 10 | ~$0.45 | ~5 min | | 50 (recommended) | ~$2.25 | ~25 min | | 100 | ~$4.50 | ~50 min | | 200 | ~$9.00 | ~100 min | --- ### Input Options | Field | Options | Default | |-------|---------|---------| | **Mode** | leaderboard / positions / full / analytics | leaderboard | | **Rank Area** | global or regional | global | | **Max traders** | 1–500 | 5 | | **Trader IDs** | Specific trader IDs for positions mode | — | | **Fetch positions** | Yes / No | Yes | | **Winners threshold** | Top N% by PNL | 25% | | **Losers threshold** | Bottom N% by PNL | 25% | --- ### Use Cases - **Generate trading signals** — find coins where the best traders are concentrated right now - **Uncover hidden positions** — get full position data even from traders who try to hide it - **Screen traders before copying** — compare PNL, win rate, drawdown, and equity before you follow anyone - **Monitor live portfolios** — see exactly what your followed traders are holding in real time - **Gauge market sentiment** — measure overall crypto bias from hundreds of top performers - **Build trading dashboards** — connect via Apify API for automated live data feeds - **Backtest and research** — collect position snapshots over time for historical analysis --- ### No Account Needed No BingX account. No API key. No login required. All leaderboard data and positions are publicly accessible — this scraper simply collects and structures it for you. # Actor input Schema ## `mode` (type: `string`): leaderboard — Scrape the leaderboard rankings only.
positions — Fetch positions for specific traders by ID.
full — Leaderboard + positions for all traders.
analytics — Full + Winners/Losers analysis and trading signals. ## `rankArea` (type: `string`): Leaderboard scope: global (all traders worldwide) or a specific region code. ## `maxTraders` (type: `integer`): Maximum number of traders to scrape. BingX requires a real browser (Playwright) and takes ~30 seconds per trader.

💡 More traders = more accurate signals. Larger samples reduce noise and improve signal reliability — we recommend at least 50 traders for analytics mode.

⚠️ Apify's free tier has a 1-hour actor timeout. For full / analytics modes, keep this at 100 or fewer to finish within 1 hour. If you set more, the actor will automatically stop scraping after 55 minutes and run analytics on whatever was collected.

BingX exposes hundreds of traders on the global leaderboard — regional proxy IPs may reveal additional local entries. ## `traderIds` (type: `array`): BingX trader IDs (the numeric ID from the trader's page URL: https://bingx.com/en/CopyTrading/{traderId}). Required for positions mode. ## `fetchPositions` (type: `boolean`): Retrieve each trader's current open positions. When a trader hides their positions, the positionsHidden flag is set to true in the output. ## `winnersPercent` (type: `integer`): Top N% of traders by PNL are classified as Winners. ## `losersPercent` (type: `integer`): Bottom N% of traders by PNL are classified as Losers. ## `proxyConfiguration` (type: `object`): Leave empty to use the built-in proxy (recommended). Provide your own proxy only if you have a specific requirement. ## Actor input object example ```json { "mode": "leaderboard", "rankArea": "global", "maxTraders": 5, "traderIds": [ "1998800000150930" ], "fetchPositions": true, "winnersPercent": 25, "losersPercent": 25 } ```` # Actor output Schema ## `nickName` (type: `string`): Display name of the copy trader on BingX. ## `uid` (type: `string`): Unique BingX trader identifier (used in profile URL). ## `roi` (type: `string`): Total return on investment. ## `roi7d` (type: `string`): Return on investment over the last 7 days. ## `pnl` (type: `string`): Total profit and loss in USDT. ## `winRate` (type: `string`): Percentage of winning trades. ## `maxDrawdown` (type: `string`): Maximum peak-to-trough decline in portfolio value. ## `followersCount` (type: `string`): Number of copy traders following this trader. ## `equity` (type: `string`): Trader's current account equity in USDT. ## `positionCount` (type: `string`): Number of currently open trading positions. ## `positions` (type: `string`): List of current open positions: symbol, side (Long/Short), positionValue, avgPrice, leverage, unrealizedProfit. ## `positionsHidden` (type: `string`): True if the trader has hidden their positions. Positions may be reconstructed from trade history. ## `positionsReconstructed` (type: `string`): True if positions were reconstructed from trade history (because trader hid them). ## `marketBias` (type: `string`): Overall market direction from analytics mode: BULLISH, BEARISH, or NEUTRAL. ## `topSignals` (type: `string`): Ranked list of coins with signal direction, confidence level, and supporting metrics. Analytics mode only. ## `tradersAnalyzed` (type: `string`): Total number of traders used to generate the analytics signals. ## `winnersCount` (type: `string`): Number of traders classified as Winners (top % by PNL). Analytics mode only. ## `losersCount` (type: `string`): Number of traders classified as Losers (bottom % by PNL). Analytics mode only. ## `_type` (type: `string`): "trader" for individual trader records, "analytics" for the signal summary record. ## `_scrapedAt` (type: `string`): ISO 8601 timestamp of when this record was collected. # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "traderIds": [ "1998800000150930" ] }; // Run the Actor and wait for it to finish const run = await client.actor("brilliant_gum/bingx-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "traderIds": ["1998800000150930"] } # Run the Actor and wait for it to finish run = client.actor("brilliant_gum/bingx-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "traderIds": [ "1998800000150930" ] }' | apify call brilliant_gum/bingx-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=brilliant_gum/bingx-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "BingX Copy Trading Position Tracker & Trading Signals", "description": "Scrape BingX copy trading leaderboard, track live open positions of top traders — including hidden ones — and generate Winners vs Losers trading signals. Full stats, real-time positions, and Three-Signal Analysis. No account needed.", "version": "0.0", "x-build-id": "q9Lwjuwmj3LWupEch" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/brilliant_gum~bingx-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-brilliant_gum-bingx-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/brilliant_gum~bingx-scraper/runs": { "post": { "operationId": "runs-sync-brilliant_gum-bingx-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/brilliant_gum~bingx-scraper/run-sync": { "post": { "operationId": "run-sync-brilliant_gum-bingx-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "mode": { "title": "🎯 Mode", "enum": [ "leaderboard", "positions", "full", "analytics" ], "type": "string", "description": "leaderboard — Scrape the leaderboard rankings only.
positions — Fetch positions for specific traders by ID.
full — Leaderboard + positions for all traders.
analytics — Full + Winners/Losers analysis and trading signals.", "default": "leaderboard" }, "rankArea": { "title": "🌍 Rank Area", "type": "string", "description": "Leaderboard scope: global (all traders worldwide) or a specific region code.", "default": "global" }, "maxTraders": { "title": "👥 Max traders", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of traders to scrape. BingX requires a real browser (Playwright) and takes ~30 seconds per trader.

💡 More traders = more accurate signals. Larger samples reduce noise and improve signal reliability — we recommend at least 50 traders for analytics mode.

⚠️ Apify's free tier has a 1-hour actor timeout. For full / analytics modes, keep this at 100 or fewer to finish within 1 hour. If you set more, the actor will automatically stop scraping after 55 minutes and run analytics on whatever was collected.

BingX exposes hundreds of traders on the global leaderboard — regional proxy IPs may reveal additional local entries.", "default": 5 }, "traderIds": { "title": "🆔 Trader IDs", "type": "array", "description": "BingX trader IDs (the numeric ID from the trader's page URL: https://bingx.com/en/CopyTrading/{traderId}). Required for positions mode.", "items": { "type": "string" } }, "fetchPositions": { "title": "📊 Fetch open positions", "type": "boolean", "description": "Retrieve each trader's current open positions. When a trader hides their positions, the positionsHidden flag is set to true in the output.", "default": true }, "winnersPercent": { "title": "🏆 Winners threshold (%)", "minimum": 5, "maximum": 50, "type": "integer", "description": "Top N% of traders by PNL are classified as Winners.", "default": 25 }, "losersPercent": { "title": "📉 Losers threshold (%)", "minimum": 5, "maximum": 50, "type": "integer", "description": "Bottom N% of traders by PNL are classified as Losers.", "default": 25 }, "proxyConfiguration": { "title": "🔒 Proxy configuration", "type": "object", "description": "Leave empty to use the built-in proxy (recommended). Provide your own proxy only if you have a specific requirement." } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```