Datasets:
metadata
license: mit
task_categories:
- time-series-forecasting
tags:
- finance
- cryptocurrency
- stocks
- commodities
- ohlcv
- price-data
- bittensor
- synth-subnet
size_categories:
- 100K<n<1M
Synth Price Data
Historical price data for the Bittensor Synth subnet (subnet 50), formatted as realized price paths matching the exact validator scoring intervals.
191,447 price path windows across 12 assets and 2 horizons.
Dataset Files
| File | Horizon | Time Increment | Points/Window | Assets | Entries |
|---|---|---|---|---|---|
synth_dataset_24h.jsonl |
24h | 300s (5 min) | 289 | 12 | 121,633 |
synth_dataset_1h.jsonl |
1h | 60s (1 min) | 61 | 5 | 69,814 |
Format
Each line is a JSON object:
{
"asset": "BTC",
"horizon": "24h",
"start_time": "2024-06-05T00:00:00Z",
"time_increment": 300,
"time_length": 86400,
"real_prices": [67869.22, 67798.38, ...],
"source": "historical_1m"
}
| Field | Type | Description |
|---|---|---|
asset |
string | Subnet asset name (BTC, ETH, SOL, etc.) |
horizon |
string | "24h" or "1h" |
start_time |
string | ISO 8601 UTC start time |
time_increment |
int | Seconds between price points (300 for 24h, 60 for 1h) |
time_length |
int | Total window in seconds (86400 for 24h, 3600 for 1h) |
real_prices |
list[float] | Realized prices at each interval (289 or 61 points) |
source |
string | Data source identifier |
Asset Coverage
24h Dataset (12 assets, 5-min intervals)
| Asset | Class | Source | Windows | Coverage |
|---|---|---|---|---|
| BTC | Crypto | Binance | 17,496 | 2 years |
| ETH | Crypto | Binance | 17,496 | 2 years |
| SOL | Crypto | Binance | 17,496 | 2 years |
| XRP | Crypto | Binance | 17,496 | 2 years |
| HYPE | Crypto | Bybit | 7,878 | ~11 months |
| SPYX | Stock | Polygon.io | 7,369 | ~2 years |
| NVDAX | Stock | Polygon.io | 6,683 | ~2 years |
| TSLAX | Stock | Polygon.io | 6,819 | ~2 years |
| AAPLX | Stock | Polygon.io | 7,656 | ~2 years |
| GOOGLX | Stock | Polygon.io | 7,475 | ~2 years |
| XAU | Commodity | Polygon.io | 6,676 | ~2 years |
| WTIOIL | Commodity | yfinance | 1,093 | ~71 days |
1h Dataset (5 assets, 1-min intervals)
| Asset | Class | Source | Windows | Coverage |
|---|---|---|---|---|
| BTC | Crypto | Binance | 17,536 | 2 years |
| ETH | Crypto | Binance | 17,536 | 2 years |
| SOL | Crypto | Binance | 17,536 | 2 years |
| XAU | Commodity | Polygon.io | 11,723 | ~2 years |
| HYPE | Crypto | Bybit | 5,483 | ~8 months |
Data Sources
- Binance API: BTC, ETH, SOL, XRP — 1-minute and 5-minute klines (2 years)
- Bybit API: HYPE — 1-minute and 5-minute klines (~11 months, all available)
- Polygon.io: SPYX, NVDAX, TSLAX, AAPLX, GOOGLX, XAU — 1-minute and 5-minute aggregates (~2 years)
- yfinance: WTIOIL — 5-minute data (~71 days, limited by source)
Usage
import json
# Load 24h dataset
with open("synth_dataset_24h.jsonl") as f:
for line in f:
entry = json.loads(line)
# entry["real_prices"] has 289 price points at 5-min intervals
# Use with tune_walk_forward.py, purged_walkforward_backtest.py, etc.
break
Notes
- Stock tickers map to subnet names: SPY→SPYX, NVDA→NVDAX, TSLA→TSLAX, AAPL→AAPLX, GOOGL→GOOGLX
- Commodity tickers: GC=F→XAU (Gold), CL=F→WTIOIL (Crude Oil)
- All timestamps in UTC
- Prices are from exchange APIs (Binance/Bybit/Polygon/yfinance), not Pyth Network
- WTIOIL 5m data limited to ~71 days — WTIOIL only receives 24h prompts on the subnet
- HYPE data starts from coin launch (~July 2025) — all available history included