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Algo Tick API

Institutional-grade crypto market intelligence. Sub-millisecond response times. 16 real-time endpoints. 39 metrics. 4 assets. Updated every 60 seconds.

Interactive API Docs ReDoc Reference →

Quick Start

# Get your API key and start querying in seconds

# 1. Market snapshot — 39 real-time metrics
curl https://algotick.dev/v1/snapshot?api_key=YOUR_KEY

# 2. Bitcoin composite trading signal
curl https://algotick.dev/v1/signals/composite?api_key=YOUR_KEY

# 3. Market regime (HMM classification)
curl https://algotick.dev/v3/signals/regime?api_key=YOUR_KEY

# 4. Whale flow for any coin
curl https://algotick.dev/v1/signals/whale-flow?coin=BTC&api_key=YOUR_KEY

All Endpoints

MethodEndpointDescription
GET/v1/snapshotReal-time market snapshot with 39 metrics
GET/v1/signals/volatilityRealized volatility and regime per coin
GET/v1/signals/spreadsCross-venue spreads and funding rates
GET/v1/signals/compositeMulti-factor composite trading signal
GET/v1/signals/correlationCross-asset correlation matrix
GET/v1/signals/whale-flowWhale order flow and imbalance
GET/v1/signals/depthOrder book depth bands
GET/v1/signals/imbalanceOrder book bid/ask imbalance
GET/v1/signals/liquidationsLiquidation alerts and thresholds
GET/v1/signals/priority-gasEthereum gas prices and congestion
GET/v3/signals/regimeHMM market regime classification
GET/v3/signals/squeezeShort squeeze probability and direction
GET/v3/signals/arbitrageArbitrage opportunities and yields
GET/v3/signals/smart-moneySmart money wallet tracking
GET/v3/signals/safetyCross-signal coherence and safety
GET/v3/analytics/queryHistorical data query (ClickHouse)

Python SDK

import requests

# Initialize
BASE = "https://algotick.dev"
KEY = "YOUR_API_KEY"

# Get all signals in one call
def get_signals():
    endpoints = [
        "/v1/signals/composite",
        "/v3/signals/regime",
        "/v3/signals/safety",
    ]
    results = {}
    for ep in endpoints:
        resp = requests.get(f"{BASE}{ep}", params={"api_key": KEY})
        results[ep] = resp.json()
    return results

signals = get_signals()
print(signals)

Features

Response Time
<1ms
Sub-millisecond API responses
Endpoints
16
Covering all major signal types
Update Frequency
60s
Real-time sensor network data
Assets Tracked
4
BTC, ETH, SOL, HYPE
Metrics
39+
Snapshot, signals, analytics
Uptime
99.9%
Frankfurt & Mumbai infrastructure

Use Cases

🤖 Trading Bots
Automated Trading
Build algorithmic strategies using composite signals, regime detection, and whale flow data. See code templates →
📊 Dashboards
Custom Analytics
Power internal dashboards with real-time market data, correlations, and risk metrics. React template →
🧠 AI Agents
LLM Integration
Connect market intelligence to ElizaOS, LangChain, or custom AI agents. LangChain template →
🤖 Building an AI agent? We natively support Python, TypeScript, ElizaOS, and LangChain. Cookbook & Templates → llms.txt