Top tradingview example github Projects 2025

tradingview example github projects are invaluable for traders and developers who want to automate strategies, learn Pine Script patterns, or deploy webhook-driven bots. This comprehensive guide walks you through finding quality repositories, building a webhook-based trading bot from a TradingView alert to a live order, securing API keys, and contributing your own project on GitHub. Along the way you'll find practical code examples, repository templates, troubleshooting tips, and curated resources to accelerate your workflow in 2025.

Why use TradingView + GitHub together?

Combining TradingView and GitHub leverages the strengths of both platforms: TradingView for visual strategy development and alerting (Pine Script), and GitHub for version control, collaboration, CI/CD, and code sharing. A tradingview example github repository lets you:

• Share Pine Script strategies and alert templates with clear versioning.
• Automate trade execution using webhooks and server-side code stored and deployed from GitHub.
• Use GitHub Actions to run tests, linting, and deployments automatically.
• Create reproducible backtests and CI for strategy updates.

How to find quality tradingview example github repositories

Not all repos are created equal. Use focused search queries, review stars and forks, scan README and examples, and check license and dependency hygiene.

Search queries that work

• On GitHub search: tradingview pine script webhook
• Try queries like: TradingView alert webhook nodejs, Pine Script example alert, or tradingview webhook trading bot.
• Use language filters: language:JavaScript tradingview alert webhook

Also explore curated lists and aggregators on GitHub or forums. Check official docs: TradingView Pine Script documentation for valid alert syntax and examples, and the official GitHub site to search repositories.

Practical example: Build a webhook-based trading bot (end-to-end)

Below is a practical walkthrough of a reliable pattern used across many tradingview example github repos: Pine Script strategy → TradingView alert with JSON → webhook receiver (Node.js) → order execution via exchange API (e.g., Binance, MEXC, Bybit, Bitget).

1) Pine Script: send structured alert JSON

Create an alert message that includes the symbol, side, size, and optional identifiers. Use TradingView's alertcondition or strategy callbacks.

// Example Pine Script v5 - alert JSON
//@version=5
strategy("Example Alert JSON", overlay=true)
ma = ta.sma(close, 20)
longCondition = ta.crossover(close, ma)
if (longCondition)
    strategy.entry("Long", strategy.long)
alertcondition(longCondition, title="Long Alert", message='{"symbol":"{{ticker}}","side":"buy","qty":0.01,"strategy":"sma20"}')

In the TradingView alert dialog, select "Webhook URL" and paste your webhook endpoint (e.g., https://your-server.com/webhook). TradingView substitutes the placeholders like {{ticker}} automatically.

2) Webhook receiver: Node.js Express example

This listener validates inbound alerts and enqueues orders safely. This code structure is commonly found in many tradingview example github repositories.

const express = require('express');
const bodyParser = require('body-parser');
const crypto = require('crypto');
const axios = require('axios');

const app = express();
app.use(bodyParser.json());

// Optional: verify TradingView secret if set
const SHARED_SECRET = process.env.TRADINGVIEW_SECRET || '';

function verifySignature(req) {
  if (!SHARED_SECRET) return true;
  const sig = req.headers['x-tradingview-signature'] || '';
  const computed = crypto.createHmac('sha256', SHARED_SECRET).update(JSON.stringify(req.body)).digest('hex');
  return sig === computed;
}

app.post('/webhook', async (req, res) => {
  try {
    if (!verifySignature(req)) {
      return res.status(401).send('Invalid signature');
    }
    const payload = req.body;
    // Basic validation
    if (!payload.symbol || !payload.side) return res.status(400).send('Bad payload');

    // Map to exchange order
    // Example: Use exchange client (Binance, MEXC, Bybit, Bitget) to create order
    await placeOrderOnExchange(payload);

    res.status(200).send('Order queued');
  } catch (err) {
    console.error('Webhook error', err);
    res.status(500).send('Server error');
  }
});

async function placeOrderOnExchange(payload) {
  // Example stub. Replace with real exchange SDK or API client.
  console.log('Placing order', payload);
  // e.g., await binanceClient.createOrder(...)
}

app.listen(3000, () => console.log('Webhook listening on port 3000'));

Many GitHub projects add a queue (Redis, BullMQ) and retry logic to prevent duplicated or missed orders.

3) Exchange integration and testnets

Always develop and test on a sandbox or testnet first. Use official SDKs or libraries like CCXT to standardize across exchanges.

• Binance testnet and official APIs are great for spot and futures testing — sign up here: Create a Binance account.
• MEXC provides APIs and test environments — register here: Sign up at MEXC.
• Bitget referral and API access: Create Bitget account.
• Bybit account creation for API trading: Register on Bybit.

These referral links help you get started quickly, and most exchanges offer detailed API docs and sandbox/testnet environments. Always use limited-permission API keys and IP whitelisting for production services.

Sample tradingview example github repository structure

A well-organized repo reduces onboarding time. Here's a typical layout used by mature projects:

/
├─ README.md
├─ LICENSE
├─ pine/
│  ├─ sma_alerts.pine
│  └─ strategy_examples.pine
├─ server/
│  ├─ package.json
│  ├─ src/
│  │  ├─ index.js
│  │  ├─ orders.js
│  │  └─ exchangeClients/
│  │     ├─ binanceClient.js
│  │     └─ ccxtClient.js
│  └─ Dockerfile
├─ .github/
│  └─ workflows/
│     └─ ci.yml
└─ docs/
   ├─ alerts.md
   └─ deployment.md

In README.md include quick start, alert message examples, environment variables, and security recommendations. Provide a sample .env.example and clear CI instructions.

GitHub Actions: CI/CD for trading bots

Use GitHub Actions to run unit tests, lint Pine Script (via linters or custom scripts), and deploy server code to your hosting platform. Example workflow steps:

• Checkout code
• Install dependencies and run tests
• Build Docker image
• Push image to a registry or deploy to a cloud provider

Automated tests should include unit tests for order mapping, schema validation for incoming alerts, and dry-run simulations to ensure orders are formatted correctly.

Security: protecting API keys and validating alerts

Security should be your top priority when working with live order execution. Follow these best practices:

• Never store API keys in the repo. Use GitHub Secrets for Actions and environment variables for hosting platforms.
• Use limited-scope API keys (trading-only, no withdrawals) where possible.
• Whitelist IP addresses for API keys if your provider supports it.
• Sign and/or verify alerts using a shared secret or digital signature to reject spoofed requests.
• Implement idempotency: save alert IDs or strategy run IDs to avoid duplicated orders on retries.

Troubleshooting common issues

Many projects encounter similar problems; here’s how to handle them efficiently.

Alerts not firing or webhook not receiving

If TradingView alerts appear active but your server does not receive them, check:

1. That the webhook URL is reachable from TradingView (public endpoint required).
2. That the alert message is in the expected JSON format.
3. Server logs for any 400/401/500 responses. Use a public request inspector like webhook.site to debug payloads.

For common TradingView alert fixes see this quick guide on alert troubleshooting: TradingView alerts not working — quick fixes.

Unexpected orders or mismatched sizes

Double-check coordinate transformations (Pine Script symbol vs exchange symbol), quantity rounding, and leverage settings for futures. Use dry-run flags to ensure orders format correctly before executing live.

Backtesting and reproducibility

While TradingView provides visual backtesting via its strategy.* functions, reproducible backtests often involve exporting signal timestamps and price data into a reproducible framework (Python, Pandas, Backtrader). A common pattern in many tradingview example github repos:

1. Export alert signals to CSV/JSON from TradingView (via alerts configured to send to a logging webhook).
2. Re-run backtests in a controlled environment using historical price feeds (e.g., exchange historical API or Kaggle datasets).
3. Record environment and dependencies (requirements.txt, Dockerfile) so others can reproduce results.

Advanced integrations: using CCXT, order books, and risk management

Advanced projects integrate multiple data sources, use order book data for smart execution (VWAP, TWAP), and implement strict risk controls:

• Use CCXT for unified exchange APIs: CCXT GitHub.
• Implement rate-limit handling and exponential backoff.
• Add per-strategy risk caps, max drawdown stop-outs, and automated alerts to Slack/Telegram on exceptional conditions.

If you’re evaluating signal services or strategies, read this comprehensive guide to Reddit strategies and signal interpretation: Elite crypto signals & Reddit strategies explained.

Choosing the right tradingview example github repo

Use this checklist when evaluating repositories:

• Stars and recent commits — project activity indicates maintenance.
• Clear README with setup, alert examples, and a demo.
• Tests and CI to ensure code quality.
• Security practices mentioned (secrets, idempotency).
• License compatibility if you plan to reuse code (MIT, Apache 2.0 are common).

Contributing and starting your own repo

Contributing to open-source trading tools is an excellent way to learn and give back. If you start a new project, follow these guidelines:

1. Start with a minimal working example: a basic Pine Script that emits alerts and a small server that logs incoming payloads.
2. Document everything: how to set alerts, sample messages, environment variables, and safety tips.
3. Write unit tests and set up CI using GitHub Actions for continuous validation.
4. Use semantic versioning and changelogs for releases.
5. Encourage community contributions through issues and PR templates.

Real-world example: a minimal tradingview example github flow

Here’s a compact workflow you could publish on GitHub as an educational repo:

• Pine Script file: sma_alerts.pine (example above)
• Server: Express webhook receiver with logging and dummy order function
• CI: Run ESLint, Node tests, and Pine Script linter (or static checks)
• Docs: Setup instructions and TradingView alert clipboard messages

This structure helps learners quickly deploy the example, iterate, and expand into real exchanges as confidence grows.

Common searchable repositories and keywords

When looking for inspiration, try these repo topics and keywords on GitHub:

• tradingview webhook bot
• pine-script strategies examples
• tradingview alerts to telegram github
• trading bot tradingview github

Also inspect projects that integrate TradingView alerts with messaging platforms. For a practical guide to combining alerts and messaging, see this resource: Crypto signals, Telegram & Reddit — practical guide.

Legal and ethical considerations

Automated trading can carry regulatory and financial risk. Important points:

• Check local regulations about automated trading and licensing that may apply to you.
• If you offer a public service or signals, include disclaimers and ensure transparent performance reporting.
• Respect rate limits and fair usage of exchange APIs to avoid account bans.

Want to learn how to get started acquiring small amounts of crypto for experimentation? This beginner-friendly guide explains ways to earn and test without large capital: How to get free crypto on Coinbase — step-by-step.

Examples of features to add to your repo

• Alert schema validator (JSON Schema) to reject malformed alerts.
• Replay mode for reprocessing historical alert logs against exchange historical data.
• Dashboard with recent alerts, order status, and P/L overview.
• Integration tests against exchange sandbox/testnet.

Where to host your webhook receiver and production considerations

Options include cloud VPS (DigitalOcean, Linode), serverless functions (AWS Lambda, Google Cloud Functions), or containerized apps on Kubernetes. For production:

• Use HTTPS with valid TLS certificates.
• Enable basic rate limiting and IP filtering.
• Monitor logs and set up alerting for failures and unexpected latencies.

Further reading and authoritative resources

• TradingView Pine Script v5 documentation — official reference.
• CCXT GitHub — unified exchange API library.
• Algorithmic trading — Wikipedia — background on automated trading concepts.
• Practical community resources: Elite crypto signals & Reddit strategies explained, Crypto signals & Telegram practical guide.

Final checklist before going live

1. Test alerts on webhook.site and simulate payloads locally.
2. Validate idempotency and duplicate protection.
3. Use testnet API keys and limited permissions.
4. Instrument logs, metrics, and alerts for operations.
5. Peer review code and security settings; consider a third-party audit for production-grade bots.

Conclusion

Using a solid tradingview example github template empowers you to move from visual strategy prototyping in TradingView to reliable, auditable automation and execution. Focus on modular code, security, and reproducibility: publish clear documentation, add CI tests, and use sandboxed exchanges before going live. If you need signal-level context or help troubleshooting alerts, consult the linked resources above — they cover strategies, alerts, and practical signal distribution.

Ready to build? Start by forking a minimal example, add your Pine Script alerts, and deploy a safe webhook receiver. When you connect to exchanges for live testing, consider the exchange links provided earlier: Binance sign-up, MEXC sign-up, Bitget sign-up, and Bybit sign-up. Good luck, and remember: safety, testing, and clear documentation will take your project further than raw performance claims ever will.

Not financial advice. This article is technical guidance for building and integrating software systems — always research and consider legal/regulatory factors before live trading.