Synth Data
Query volatility forecasts from Synthdata.co for crypto, commodities, and stocks. Compare assets and run Monte Carlo simulations.
Query volatility forecasts from Synthdata.co for crypto, commodities, and stocks. Compare assets and run Monte Carlo simulations.
Real data. Real impact.
Emerging
Developers
Per week
Open source
Skills give you superpowers. Install in 30 seconds.
Query and analyze volatility forecasts from Synthdata.co for crypto, commodities, and stock indices.
Set your API key:
export SYNTHDATA_API_KEY=your_key_here
# Single asset python3 scripts/synth.py BTCMultiple assets comparison
python3 scripts/synth.py BTC ETH SOL --compare
All assets overview
python3 scripts/synth.py --all
Monte Carlo simulation (24h max)
python3 scripts/synth.py BTC --simulate --hours 12
| Ticker | Name | Category |
|---|---|---|
| BTC | Bitcoin | Crypto |
| ETH | Ethereum | Crypto |
| SOL | Solana | Crypto |
| XAU | Gold | Commodity |
| SPYX | S&P 500 | Index |
| NVDAX | NVIDIA | Stock |
| GOOGLX | Stock | |
| TSLAX | Tesla | Stock |
| AAPLX | Apple | Stock |
================================================== BTC โ Bitcoin ================================================== Price: $77,966 24h Change: ๐ด -0.95% Current Vol: 58.4% ๐ [Elevated] Avg Realized: 53.3% Forecast Vol: 52.2%
| Level | Range | Emoji |
|---|---|---|
| Low | < 20% | ๐ข |
| Moderate | 20-40% | ๐ก |
| Elevated | 40-60% | ๐ |
| High | 60-80% | ๐ด |
| Extreme | > 80% | ๐ด |
python3 scripts/synth.py --all
Get a ranked table of all assets by volatility.
python3 scripts/synth.py BTC --simulate --hours 24 --paths 1000
Generate probabilistic price ranges using forecast volatility (24h max - Synthdata forecast window).
Create a cron job for daily Slack/Telegram forecasts (see examples/use-cases.md).
Monitor for assets crossing volatility thresholds and trigger notifications.
See
references/api.md for full API documentation.
import requestsresp = requests.get( "https://api.synthdata.co/insights/volatility", params={"asset": "BTC"}, headers={"Authorization": f"Apikey {API_KEY}"} ) data = resp.json()
Key fields:
price = data["current_price"] realized_vol = data["realized"]["average_volatility"] forecast_vol = data["forecast_future"]["average_volatility"]
No automatic installation available. Please visit the source repository for installation instructions.
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