Skip to main content

A package for fetching historical and prediction data

Project description

predictoor-data

Python client for accessing Predictoor data and predictions on Ocean Protocol.

Installation

Install via pip:

pip install predictoor-data

Or install from source:

git clone https://github.com/oceanprotocol/predictoor-data
cd predictoor-data
pip install -e .

Quick Start

from predictoor_data import PredictoorClient
from datetime import datetime

# Initialize client
# private key can also be set using PREDICTOOR_PRIVATE_KEY env var
client = PredictoorClient(private_key="your-private-key")  # private_key is optional

# Get current prediction
stake_up, stake_down = client.get_prediction("BTC/USDT", "5m")
print(f"Up stake: {stake_up/1e18} OCEAN")
print(f"Down stake: {stake_down/1e18} OCEAN")

# Fetch historical data
historical_data = client.fetch_historical(
    datetime(2024, 9, 1),
    datetime(2024, 9, 30),
    "BTC/USDT",
    "5m"
)

API Reference

PredictoorClient

Constructor

client = PredictoorClient(private_key=None)
  • private_key: Optional. Your private key for authentication. Can also be set via PREDICTOOR_PRIVATE_KEY environment variable.

Methods

get_prediction(pair: str, timeframe: str) -> Tuple[int, int]

Get current prediction for a trading pair. If the subscription doesn't exist raises an error.

stake_up, stake_down = client.get_prediction("BTC/USDT", "5m")
  • pair: Trading pair (e.g., "BTC/USDT", "ETH/USDT")
  • timeframe: Time interval ("5m", "1h")
  • Returns: Tuple of (stake_up, stake_down) in wei
subscribe_and_get_prediction(pair: str, timeframe: str) -> Tuple[int, int]

If the subscription doesn't exist, subscribes to a trading pair and get current prediction.

stake_up, stake_down = client.subscribe_and_get_prediction("BTC/USDT", "5m")
fetch_historical(start_date: datetime, end_date: datetime, pair: str, timeframe: str) -> pd.DataFrame

Fetch historical prediction data.

df = client.fetch_historical(
    datetime(2023, 1, 1),
    datetime(2023, 1, 31),
    "BTC/USDT",
    "5m"
)

Returns DataFrame with columns:

  • slot_start: Start time of prediction slot
  • slot_target: Target time for prediction
  • stake_up: Amount staked on price going up
  • stake_down: Amount staked on price going down

Supported Trading Pairs

Check predictoor.ai

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

predictoor_data-0.1.7.tar.gz (17.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

predictoor_data-0.1.7-py3-none-any.whl (21.3 kB view details)

Uploaded Python 3

File details

Details for the file predictoor_data-0.1.7.tar.gz.

File metadata

  • Download URL: predictoor_data-0.1.7.tar.gz
  • Upload date:
  • Size: 17.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for predictoor_data-0.1.7.tar.gz
Algorithm Hash digest
SHA256 ad4ed056fae4365b77c1e30c35681cedb95c25a7fec6910eb6171b8e2199ddcb
MD5 77ad8d50599533ef804276b0788b7565
BLAKE2b-256 c29e5954835c066722470d7da592996f09ff3062acade2357f88910de577991f

See more details on using hashes here.

File details

Details for the file predictoor_data-0.1.7-py3-none-any.whl.

File metadata

File hashes

Hashes for predictoor_data-0.1.7-py3-none-any.whl
Algorithm Hash digest
SHA256 a3732f18d1b8d122ef4b0aa37f3b5affe82ee07b21b9b1af3459d8cf616d14b3
MD5 ba19cf6d09ba334cb3d51353f9f38cdd
BLAKE2b-256 90e0d7d84238af75e206a8035438d6f1540b610afd6d4f48796d69fc19285315

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page