sign in
sign in
// tickerdb vs tradingview

TickerDB vs TradingView

TradingView is the gold standard for charting. TickerDB is purpose-built for a different job — giving your code structured state changes and pre-computed, categorical market data that AI agents can reason about directly.

get started read the docs
// state changes

See exactly what changed, and when.

TradingView alerts tell you something happened. TickerDB tells you exactly what changed, what the previous state was, and what it is now — for every ticker on your watchlist, in a single call.

TradingView alert webhook 
// user-defined webhook message
{
  "ticker": "AAPL",
  "alert": "RSI crossed below 30",
  "time": "2026-03-28T16:00:00Z"
}
// what was RSI before?
// did anything else change?
// what about the other 49 tickers?
TickerDB structured state changes 
// GET /v1/watchlist/changes
{
  "run_date": "2026-03-28",
  "changes": {
    "AAPL": [
      {
        "field": "rsi_zone",
        "from":  "neutral",
        "to":    "oversold"
      },
      {
        "field": "divergence_detected",
        "from":  false,
        "to":    true
      }
    ],
    "NVDA": [
      {
        "field": "macd_state",
        "from":  "bullish",
        "to":    "bearish_cross"
      }
    ]
  },
  "tickers_changed": 2
}
// derived data

Categories, not numbers.

TradingView excels at visualizing raw market data on charts. TickerDB pre-computes that data into categorical labels your agent can reason about without interpreting numbers.

Raw indicator data what you'd extract from a chart 
"rsi": 28.4
"macd": -1.23
"bb_width": 0.041
"sma_20": 182.50
"sma_50": 179.30
"volume": 62338249

// is 28.4 oversold? depends on context
// is -1.23 MACD bearish? need history
// is that volume high? vs what baseline?
TickerDB pre-computed, categorical 
"rsi_zone": "oversold"
"macd_state": "contracting_negative"
"squeeze_active": true
"trend_direction": "downtrend"
"volume_ratio_band": "above_average"
"condition_rarity": "rare"

// AI-ready: branch on "oversold"
// no thresholds to interpret
// context already computed
// where each shines

Different tools, different strengths.

TickerDB TradingView
Best for AI agents & automated pipelines Visual charting & manual analysis
Data format ✓ Derived categories Raw numeric indicators
State change tracking ✓ Automatic, 16 fields, all tickers Manual alert per condition
Change history ✓ Day-over-day and week-over-week diffs Point-in-time triggers only
Programmable access ✓ REST API + Python, Node.js, Go SDKs Pine Script + webhook output
AI / MCP integration ✓ Native MCP server No first-party integration
Search / Filtering ✓ Queryable search (arbitrary filters) GUI screener (not a queryable data API)
Free tier state changes ✓ Full watchlist, all fields Alerts only (no webhooks on free)
// why it matters for ai

Built for agents, not charts.

TradingView is exceptional at what it does — interactive charting and visual analysis. TickerDB is built for a different job: giving your code derived, categorical data it can act on without human interpretation.

Derived data, not raw numbers

An RSI of 28.4 means nothing to an LLM. "rsi_zone": "oversold" is a fact it can reason about. TickerDB pre-computes every indicator into categories — trend, momentum, volatility, volume — so your agent can make decisions without thresholds or math.

State transitions, not triggers

TradingView alerts fire when a condition is met. TickerDB shows the full transition: "from": "neutral" → "to": "oversold". Your agent sees not just what happened, but what the state was before — context that matters for decision-making.

Full watchlist in one call

One GET /v1/watchlist/changes returns every field that changed across every ticker on your watchlist. No alert-per-ticker configuration, no condition limits — just ask what changed and get back structured diffs.

API-first, any language

TickerDB is a REST API with official Python, Node.js, and Go SDKs, plus a native MCP server for AI clients like Claude and Cursor. Your agent can monitor watchlists, scan for opportunities, and compare assets — all programmatically.

// historical context

What happened last time?

TradingView lets you visually scan charts for past oversold periods. But programmatically asking "what happened the last time AAPL was deep oversold?" requires exporting data, computing indicators, and building your own analysis. TickerDB answers that question in one call.

TradingView manual chart analysis 
// step 1: open chart, add RSI indicator
// visually scan for oversold periods

// step 2: manually note each date
// where RSI dipped below threshold

// step 3: for each date, check what
// happened 5, 10, 20 days later

// step 4: compile results manually
// or export to spreadsheet

// no API access to historical events
// no programmatic aftermath data
TickerDB pre-computed aftermath 
// GET /v1/summary/AAPL?field=rsi_zone&band=deep_oversold
{
  "ticker": "AAPL",
  "field": "rsi_zone",
  "events": [{
    "date": "2025-08-12",
    "band": "deep_oversold",
    "prev_band": "oversold",
    "aftermath": {
      "5d":  { "performance": "moderate_gain" },
      "10d": { "performance": "sharp_gain" },
      "20d": { "performance": "moderate_gain" }
    }
  }],
  "total_occurrences": 7,
  "query_range": "5y"
}
// pricing

What you pay.

TradingView is a charting platform. TickerDB is an API. Different products, but if you're building automation, here's how they compare.

TickerDB TradingView
Free tier ✓ 250 requests/day, 3 filters, 30-day history Basic charting with ads, limited alerts
Starting price $29/mo (Plus) ✓ $12.95/mo (Essential)
What you get 50,000 req/day, 5 filters, 2yr history, 1 webhook 2 charts/tab, 5 indicators/chart, 20 alerts
Events & aftermath ✓ Built in: 30d Free, 2yr + aftermath on Plus, 5yr + aftermath on Pro ✗ Not available
Programmatic access ✓ HTTP API + SDKs + MCP Charting libraries, broker APIs, Pine Script, webhooks

Start building.

No credit card required. See derived data and state changes in your first API call.

try TickerDB read the docs