TradingView API Pricing GitHub: Costs, Code & Alternatives

Published On: 2025-10-20

Prepared by Jameson Richman and our team of experts with over a decade of experience in cryptocurrency and digital asset analysis. Learn more about us.

If you’re researching "tradingview api pricing github", this guide breaks down what that search intent usually means — where to find TradingView-related code on GitHub, how pricing and licensing affect projects that use TradingView, realistic cost components, and best practices for evaluating repositories and deploying integrations safely and legally. You’ll get actionable setup examples, cost estimates, repository vetting checklists, and SEO tips to help this topic rank well.

What is the TradingView API ecosystem?

TradingView is a popular charting and technical analysis platform used by traders worldwide. It offers a set of commercial products (Charting Library, Widgets, Broker API) and community-facing features (Pine Script, public charts). There is no single “public free REST API” maintained by TradingView for market data in the same way many exchange APIs exist; instead, developers interact with TradingView through:

Official commercial products — Charting Library and Widgets (licensed for integration in commercial products).
Broker API — designed for brokers to integrate execution into TradingView charts.
Webhooks and alerts — TradingView alerts can POST to a webhook you control.
Unofficial/open-source wrappers — community projects on GitHub that scrape or wrap certain endpoints or parse data; these are not officially supported and may violate TradingView’s terms if they reverse-engineer proprietary endpoints.

For an official overview, see TradingView’s product pages and documentation, and a neutral description on Wikipedia: TradingView — Wikipedia.

Why people search for "tradingview api pricing github"

Search phrases combining TradingView, pricing, and GitHub usually reflect one or more intents:

Find open-source code that integrates with TradingView (wrappers, alert handlers, automation).
Understand costs associated with using TradingView features in a project (subscriptions, licensing fees, data costs).
Compare open-source alternatives or check whether GitHub projects include pricing/paid tiers or commercial licenses.

A GitHub repo may advertise integration examples but won’t necessarily reflect official pricing — that information is usually on TradingView’s product pages or available via sales teams. When evaluating costs, you must separate what you pay to TradingView from costs of infrastructure, exchanges, and any third-party services referenced in GitHub projects.

Official TradingView pricing and licensing (what matters to devs)

There are several cost categories directly related to TradingView:

User subscriptions: TradingView offers personal account tiers (Free, Pro, Pro+, Premium) impacting features and limits for charting/alerts. See the current plans on TradingView’s official pricing page (search TradingView GoPro or visit the help pages).
Charting Library & Widgets licensing: The Charting Library is a downloadable integration intended for websites and apps; commercial use generally requires contacting TradingView for a license and potentially paying one-time or recurring fees. Read TradingView’s Charting Library info for licensing specifics.
Broker API: For firms integrating execution, TradingView’s Broker API has onboarding steps and commercial terms negotiated with TradingView.
Data & exchange fees: If you need real-time exchange data (especially for stocks, futures, and certain markets), you may incur exchange fees or pay data vendors.

Official pages and documentation are your authoritative source; always verify pricing directly with TradingView or its sales representatives for commercial deployments.

What you’ll find on GitHub and how it affects costs

GitHub hosts many repositories that reference "TradingView" in their README or code. Typical repo types include:

Alert webhook receivers (server code that accepts TradingView alert webhooks and executes logic).
Pine Script examples and community indicators (code you can copy into TradingView charts).
Wrappers or scrapers that attempt to fetch data from TradingView endpoints (generally unofficial).
Integration projects showing how to use the Charting Library with data backends.

Important: a GitHub repo that claims to provide a "TradingView API" may not reflect official or permissible methods. Many unofficial wrappers may scrape data or automate the web UI. Using such code in production can raise legal and reliability problems and does not change TradingView’s own licensing or pricing policies.

How GitHub relates to pricing

GitHub projects may be free, but integration can still require paid services (TradingView licenses, data fees, server hosting).
Some repos provide paid premium features or offer hosted services; their pricing will be listed in the repo or an affiliated website.
Commercial projects using TradingView’s Charting Library must license it officially, regardless of GitHub code availability.

Cost components when using TradingView integrations (real-world breakdown)

Plan a budget by separating costs into categories:

TradingView-related costs
- User subscriptions (if users need Pro features).
- Charting Library commercial license (if embedding charts in a product).
- Broker API commercial integration costs for brokers.
Market data and exchange fees
- Real-time data feeds for stocks, futures, or exchange-specific market data (may require vendor agreements).
- API access costs from exchanges (some are free for limited usage; others charge per connection or per symbol).
Infrastructure
- Hosting (servers, cloud functions, containers).
- Databases for storing alerts, positions, or historical data.
- Monitoring and redundancy for production usage.
Development and maintenance — developer time, code reviews, security audits, and updates for third-party libraries.
Third-party services — SMS/email providers, broker commissions, or paid analytics APIs.

Example monthly cost estimate for a small automation app:

TradingView Pro account (1 user): $15–30
Charting Library commercial license (one-time or negotiated): $0–$X (contact TradingView)
Cloud hosting (AWS/GCP small instance + DB): $40–150
Exchange API or data provider: $0–200
Developer maintenance: variable

Depending on scale and licensing, total costs vary widely. The key is to identify which pieces are required and get firm quotes from vendors for commercial deployments.

Evaluating TradingView-related GitHub repositories

Not all GitHub repos are equal. Use this checklist before adopting a project:

Stars & forks: Popularity signals (but not a substitute for quality).
Recent commits: Is the repo actively maintained? Check last commit activity.
Open issues and responses: Healthy projects respond to issues and fix bugs.
License: Ensure the license allows your intended use (MIT, Apache, GPL, etc.). Commercial use may require a different license.
Readme & docs: Clear installation instructions, configuration, and limitations indicate quality.
Security considerations: Audit code that handles credentials, API keys, or trades.
Compliance with TradingView’s terms: Confirm the project does not recommend scraping private endpoints or violating ToS.

Red flags

Repos that advertise access to private TradingView APIs or "unlimited" data without mention of licensing.
Closed-source binaries or obfuscated code lacking transparency.
No documentation about rate limits, data attribution, or vendor agreements.

Actionable example: Using TradingView alerts with a webhook on GitHub-hosted code

One of the most robust and compliant ways to integrate TradingView into automation is via alerts. TradingView allows users to send alert messages to a webhook URL. You can host the webhook receiver code on GitHub (source) and deploy to a cloud provider. Here’s a high-level step-by-step and a minimal Flask example you can adapt.

Create TradingView alerts with the “Webhook URL” option and include structured JSON in the alert message (for example, symbol, direction, size).
Deploy a secure webhook endpoint (HTTPS) to receive alert POSTs and validate a secret token.
On receiving an alert, validate and parse JSON, then forward to your execution engine, broker API, or notification system.
Implement logging, idempotency, and retries to avoid duplicate executions and ensure reliability.

Minimal Python Flask webhook receiver:

from flask import Flask, request, jsonify
import hmac, hashlib, os

app = Flask(__name__)
WEBHOOK_SECRET = os.environ.get("WEBHOOK_SECRET", "change-me")

def verify_signature(payload, signature):
    mac = hmac.new(WEBHOOK_SECRET.encode(), payload, hashlib.sha256)
    return hmac.compare_digest(mac.hexdigest(), signature)

@app.route("/webhook", methods=["POST"])
def webhook():
    payload = request.data
    signature = request.headers.get("X-Signature", "")
    if not verify_signature(payload, signature):
        return jsonify({"error": "invalid signature"}), 403
    data = request.json
    # Example payload: {"symbol":"BTCUSD","action":"BUY","size":0.1}
    # Add your routing/execution logic here
    print("Received alert:", data)
    return jsonify({"status":"ok"}), 200

if __name__ == "__main__":
    app.run(port=5000)

Notes:

Set a secure secret and never embed it in public repos.
Use HTTPS in production (e.g., deploy to a cloud provider or use an API gateway).
Log alerts and implement idempotency keys to avoid duplicate trades.

Examples of common GitHub projects (what to look for)

You’ll find projects that:

Parse TradingView alert JSON and route it to brokers (e.g., integrations for Binance, Coinbase, or brokers’ REST APIs).
Provide Pine Script indicator libraries and scripts for backtesting within TradingView.
Demonstrate Charting Library integration with a custom data backend (useful for white-labeled charts).

When referencing a repo for production use, cross-check whether the project uses official TradingView components (Charting Library or Widgets) or employs unofficial scraping techniques. If a project advertises free access to TradingView data via hidden endpoints, treat it with skepticism.

Alternatives and complementary APIs

If your main need is market data or programmatic trading, consider alternatives or complementary APIs that are explicitly meant for programmatic access:

Alpha Vantage — free tier for historical and intraday data (API key required).
CoinGecko API — cryptocurrency data (free tiers available).
Exchange native APIs (e.g., Binance) — direct exchange APIs for tick-level data and order execution.
API fundamentals — general information about API types and methods (Wikipedia).

Using these APIs in combination with TradingView’s charting or alerts can reduce reliance on unofficial scraping, improve compliance, and simplify pricing by using clearly documented vendor pricing.

How to estimate total cost from GitHub-based projects

Follow these steps to estimate costs for a GitHub-based TradingView integration:

List features you need (real-time quotes, historical data, chart embedding, automated orders).
Identify required vendors (TradingView license, exchanges, data providers).
Gather quotes or check public pricing pages for each vendor.
Estimate infrastructure costs (cloud hosting, storage, backups).
Estimate development time from repository complexity and add a contingency for maintenance.
Consider legal/compliance overhead for broker integrations.

Make a simple spreadsheet to calculate one-time vs. recurring costs and scenarios for scaling to more users or symbols.

SEO tips for ranking content about "tradingview api pricing github"

If you’re writing a web page or repo README to attract traffic for this search phrase, follow current SEO best practices:

Use the exact phrase in the title tag and H1 (naturally). Keep title under ~60 characters to avoid truncation in search results.
Include the phrase once in the opening paragraph and then in related long-tail phrases (e.g., "TradingView GitHub wrappers and pricing", "TradingView Charting Library costs and GitHub examples").
Structure content with clear headings (H2/H3) and descriptive anchor links to relevant sections for readability and rich snippets.
Provide authoritative outbound links (official docs like TradingView, exchange APIs, Wikipedia) to improve E-A-T signals.
Use schema markup where appropriate (Article, HowTo, SoftwareApplication) to increase the chance of rich results.
Optimize page speed, mobile usability, and secure HTTPS hosting — technical SEO matters as much as content.
Include practical examples, code snippets, and downloadable config files to increase dwell time and user satisfaction.
Get high-quality backlinks from relevant sites (developer blogs, trading communities, official docs) and avoid spammy link schemes.

A strong README or blog post that answers common user questions (how to set up, costs, licensing, alternatives, and safety) will be favored by Google’s helpful content updates. Focus on user intent and transparent, actionable guidance.

Legal, compliance, and ethical considerations

Respect TradingView’s terms of service and the law:

Avoid scrapers or unofficial endpoints that might violate terms of service — these may lead to IP blocks, account bans, or legal issues.
For broker integrations, ensure you meet regulatory obligations, KYC/AML requirements, and have appropriate broker-level agreements.
Protect API keys and credentials; never commit secrets to public GitHub repos.
If selling a product that uses TradingView technology, confirm licensing and attribution requirements directly with TradingView.

Summary and recommended next steps

"Tradingview api pricing github" searches bundle technical, legal, and commercial questions. To proceed:

Define the exact feature set you need (alerts only, chart embedding, execution).
Decide whether to use official TradingView products (Charting Library / Broker API) or rely on alternative data/APIs.
Vet any GitHub project carefully: license, maintenance status, and compliance with TradingView policy.
Estimate the total cost by adding TradingView licensing/subscription, data/exchange fees, hosting, and development labor.
Prototype using webhooks and public exchange APIs to minimize licensing risk. If you need Charting Library features, contact TradingView sales early for licensing details.

If you follow the steps and checklists above, you’ll be able to select a GitHub project or build your own integration that balances cost, reliability, and compliance — and create content (or a README) that ranks well for "tradingview api pricing github" by addressing searcher intent comprehensively.