Predictions Latest

Get the most recent predictions from top-performing miners.

GET /v2/prediction/latest

Parameters

Parameter	Type	Required	Description
asset	string	Yes	BTC, ETH, SOL, XAU, SPYX, NVDAX, TSLAX, AAPLX, GOOGLX
time_increment	integer	Yes	300 (5min) or 60 (1min)
time_length	integer	Yes	86400 (24h) or 3600 (1h)
limit	integer	No	Top miners (default: 10)

Request examples

cURL

curl

curl "https://api.synthdata.co/v2/prediction/latest?asset=BTC&time_increment=300&time_length=86400&limit=10" \
  -H "Authorization: Apikey YOUR_API_KEY"

Python

Response

[
  {
    "miner_uid": 42,
    "start_time": 1738329600,
    "predictions": [
      [98234.56, 98456.78, ...],
      [98345.67, 98567.89, ...],
      ...
    ]
  }
]

Example: aggregate and compute statistics (Python)

import requests
import numpy as np

headers = {"Authorization": "Apikey YOUR_API_KEY"}
params = {"asset": "BTC", "time_increment": 300, "time_length": 86400, "limit": 10}

response = requests.get(
    "https://api.synthdata.co/v2/prediction/latest",
    headers=headers,
    params=params
)

predictions = response.json()

# Aggregate paths
all_paths = []
for miner in predictions:
    all_paths.extend(miner['predictions'])

# Calculate probabilities
final_prices = [path[-1] for path in all_paths]
median = np.median(final_prices)
prob_up = sum(1 for p in final_prices if p > all_paths[0][0]) / len(final_prices)

print(f"Median: ${median:,.2f}")
print(f"Prob up: {prob_up:.1%}")

Next Steps

• Get historical predictions

• Trading strategies