How to Overlay Bull/Bear Arrows on Charts Using the Token Metrics copyright API

Adding bull and bear signals directly onto price charts is one of the fastest ways to spot market momentum. If you’re building a copyright dashboard or trading app, visual cues like arrows or indicators make your product smarter—and easier to use.

With the Token Metrics copyright API, you can overlay real-time bull/bear signals on any token’s price chart using just a few lines of code. This guide shows you how to do it.

Why Overlay Signals on Charts?

Instant context – Users can immediately see where the AI flipped bullish or bearish.
Enhanced UX – Traders love visual confirmation.
Actionable insights – Combine with other signals to reinforce strategy confidence.

And the best part? You don’t need a paid plan. The free Basic plan provides bull/bear signals and OHLCV price data for all major coins.

Tools You’ll Need

Token Metrics API key (sign up free)
Charting library (e.g., Chart.js, TradingView, ApexCharts)
JavaScript or Python (depending on stack)

Step 1: Get OHLCV Price Data

First, fetch 30 days of hourly candle data for your token:

import requests

headers = {'x-api-key': 'YOUR_API_KEY'}

res = requests.get('https://api.tokenmetrics.com/ohlcv?symbol=ETH&interval=1h', headers=headers)

ohlcv = res.json()['data']

This gives you timestamps, open, high, low, close, and volume.

Step 2: Pull Bull/Bear Signals

Now request the bull/bear signal for each hour:

res = requests.get('https://api.tokenmetrics.com/bull-bear?symbol=ETH&interval=1h', headers=headers)

signals = res.json()['data']

Each entry will have a timestamp and a signal value (BULL or BEAR).

Step 3: Match Signals to Chart Timestamps

Loop through your price candles and match timestamps where the signal flipped:

for i in range(len(ohlcv)):

if signals[i]['signal'] == 'BULL':

draw_arrow_up(ohlcv[i]['timestamp'])

elif signals[i]['signal'] == 'BEAR':

draw_arrow_down(ohlcv[i]['timestamp'])

You can use Chart.js with custom annotations, or TradingView’s Pine Script plotshape() to display these markers.

Step 4: Add Tooltips and Labels (Optional)

Enhance your chart by adding tooltips like:

“Trader Grade: 86”
“Signal: Bullish”
“Timestamp: 2025-05-30 14:00”

This adds clarity for the end-user and makes your chart feel more intelligent.

Use Case: Upgrade Any Trading Tool

These chart overlays work great in:

Web dashboards for traders
Telegram bots with chart screenshots
Browser extensions for price tracking
Internal tools for portfolio managers

Why Token Metrics?

Most copyright APIs give you data. Token Metrics gives you direction. These signals aren’t random—they’re AI-driven and refreshed hourly.

The free plan includes:

Trader Grades
Bull/Bear Signals
5,000 API calls/month
Historical OHLCV (30 days)

That’s everything you need to build a visual signal layer from scratch.

Final Thoughts

Adding bull/bear overlays isn’t just a cosmetic feature—it’s a strategic enhancement. It transforms a static chart into a decision-making tool.

If you're building in copyright, don't just show price. Show what it means.

Start using the Token Metrics copyright API and make your charts talk.

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