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?
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Instant context – Users can immediately see where the AI flipped bullish or bearish.
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Enhanced UX – Traders love visual confirmation.
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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
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Token Metrics API key (sign up free)
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Charting library (e.g., Chart.js, TradingView, ApexCharts)
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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:
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“Trader Grade: 86”
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“Signal: Bullish”
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“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:
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Web dashboards for traders
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Telegram bots with chart screenshots
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Browser extensions for price tracking
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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:
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Trader Grades
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Bull/Bear Signals
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5,000 API calls/month
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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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