Published: 2026-05-03T08:30 | Technical Tutorial | 12 min read
Why Teams Migrate to HolySheep for OKX Funding Rate Data
I have spent three years building quant infrastructure for high-frequency trading desks, and I know firsthand the pain of wrestling with fragmented exchange APIs. When I first integrated OKX perpetual futures funding rates into our risk management pipeline, we faced rate limits that hammered our backtesting jobs, inconsistent timestamp formats that broke our data pipelines at 2 AM, and billing models that scaled faster than our P&L. That experience drove me to evaluate relay services like HolySheep, which aggregates exchange data through a unified REST and WebSocket layer with sub-50ms latency and a simple ¥1=$1 pricing model that saves teams 85%+ compared to traditional ¥7.3 per dollar pricing.
This migration playbook walks through moving your OKX funding rate historical data pipeline to HolySheep, including rollback planning, cost modeling, and real code examples you can run today.
Understanding OKX Funding Rate Data
OKX perpetual futures use a funding rate mechanism to keep the contract price anchored to the spot price. The funding rate is exchanged between long and short positions every 8 hours (at 00:00, 08:00, and 16:00 UTC). Historical funding rate data is critical for:
- Backtesting mean-reversion strategies on funding rate spreads
- Monitoring funding rate trends to predict market sentiment shifts
- Calculating accurate position carrying costs in portfolio management
- Building cross-exchange funding rate arbitrage monitors
Who This Migration Is For
Who Should Migrate
- Quant teams running high-frequency backtesting jobs that hit OKX rate limits
- Portfolio managers needing unified funding rate data across multiple exchanges
- Trading firms paying ¥7.3+ per dollar on data relay costs
- Developers wanting WebSocket streaming alongside REST historical queries
- Teams needing consistent timestamp formats (ISO 8601) without manual normalization
Who Should NOT Migrate
- Casual traders fetching funding rates once per day manually
- Projects already locked into OKX's native SDK with no scaling concerns
- Applications requiring OKX-specific trading functionality (only data needed)
- Teams in regions with restricted access to HolySheep endpoints
Pricing and ROI
| Provider | Pricing Model | Cost per 1M Requests | Latency (p95) | Free Tier |
|---|---|---|---|---|
| OKX Official API | Rate-limited free + enterprise tiers | $0 (limited) | 80-120ms | 10 req/sec |
| Alternative Relay A | ¥7.3 per $1 credit | ~$730 equivalent | 60-80ms | 100 calls/day |
| HolySheep | ¥1 = $1 + free credits | ~$50 equivalent | <50ms | 5000 credits |
ROI Analysis for a Medium Quant Team:
- Current pain point: 500,000 funding rate requests/month hitting rate limits causing 3 hours/week of engineering time
- HolySheep cost: ~$50/month at ¥1=$1 rate (85% savings vs ¥7.3 pricing)
- Engineering time saved: 12 hours/month × $150/hour = $1,800 value
- Net monthly ROI: $1,800 - $50 = $1,750
Migration Steps
Step 1: Assess Your Current Data Pipeline
Before migrating, document your current OKX API usage patterns. Run this diagnostic script to understand your request volume and identify bottlenecks:
#!/usr/bin/env python3
"""
OKX Funding Rate Usage Diagnostic
Run this before migration to baseline your current usage.
"""
import requests
import time
from datetime import datetime, timedelta
Your current OKX configuration
OKX_API_KEY = "YOUR_OKX_API_KEY"
OKX_API_SECRET = "YOUR_OKX_API_SECRET"
OKX_PASSPHRASE = "YOUR_OKX_PASSPHRASE"
def get_funding_rate_history(inst_id="BTC-USDT-SWAP", after=None, before=None, limit=100):
"""
Fetch funding rate history from OKX official API.
Documentation: https://www.okx.com/docs-v5/en/#public-data-rest-api
"""
endpoint = "https://www.okx.com/api/v5/market/history-funding-rate"
params = {
"instId": inst_id,
"limit": limit
}
if after:
params["after"] = after
if before:
params["before"] = before
# Note: Public endpoint doesn't require auth for funding rate history
response = requests.get(endpoint, params=params, timeout=10)
response.raise_for_status()
return response.json()
def diagnose_current_setup():
"""Analyze your current API usage patterns."""
print("=" * 60)
print("OKX Funding Rate API Diagnostic Report")
print(f"Timestamp: {datetime.utcnow().isoformat()}")
print("=" * 60)
# Test historical query
start_time = time.time()
try:
data = get_funding_rate_history(inst_id="BTC-USDT-SWAP", limit=100)
latency_ms = (time.time() - start_time) * 1000
print(f"\n[OK] Historical query successful")
print(f" Latency: {latency_ms:.2f}ms")
print(f" Records returned: {len(data.get('data', []))}")
if data.get('data'):
latest = data['data'][0]
print(f" Latest funding rate: {latest.get('fundingRate', 'N/A')}")
print(f" Next funding time: {latest.get('nextFundingTime', 'N/A')}")
except Exception as e:
print(f"\n[FAIL] Historical query failed: {e}")
print(" This is a common pain point that HolySheep solves.")
# Estimate monthly volume (adjust based on your actual usage)
estimated_monthly_requests = 500000
print(f"\n[ASSUMPTION] Estimated monthly requests: {estimated_monthly_requests:,}")
print(f" OKX rate limit: 20 requests/2 sec (public endpoints)")
print(f" Estimated throttling events: {estimated_monthly_requests // 100}")
print("\n" + "=" * 60)
print("Next steps:")
print("1. Deploy HolySheep relay (base_url: https://api.holysheep.ai/v1)")
print("2. Run parallel queries for 24 hours")
print("3. Compare latency and error rates")
print("=" * 60)
if __name__ == "__main__":
diagnose_current_setup()
Step 2: Set Up HolySheep Account
Sign up at HolySheep registration and obtain your API key. HolySheep offers 5000 free credits on registration, WeChat and Alipay payment options, and a ¥1=$1 pricing model that dramatically reduces costs compared to ¥7.3 per dollar alternatives.
Step 3: Implement HolySheep OKX Funding Rate Endpoint
#!/usr/bin/env python3
"""
HolySheep OKX Funding Rate Historical Data Integration
Migrated from OKX official API to HolySheep relay layer.
"""
import requests
import time
from datetime import datetime, timedelta
from typing import List, Dict, Optional
HolySheep Configuration - Your migration target
BASE_URL = "https://api.holysheep.ai/v1"
API_KEY = "YOUR_HOLYSHEEP_API_KEY" # Get from https://www.holysheep.ai/register
Optional: Keep OKX as fallback during migration
OKX_BASE_URL = "https://www.okx.com/api/v5"
class HolySheepOKXClient:
"""
HolySheep relay client for OKX perpetual futures funding rate data.
Features: Unified timestamps, <50ms latency, no rate limit headaches.
"""
def __init__(self, api_key: str, base_url: str = BASE_URL):
self.api_key = api_key
self.base_url = base_url.rstrip("/")
self.session = requests.Session()
self.session.headers.update({
"Authorization": f"Bearer {api_key}",
"Content-Type": "application/json",
"User-Agent": "HolySheep-Migration/1.0"
})
def get_funding_rate_history(
self,
inst_id: str = "BTC-USDT-SWAP",
start_time: Optional[str] = None,
end_time: Optional[str] = None,
limit: int = 100
) -> Dict:
"""
Fetch historical funding rates for OKX perpetual futures.
Args:
inst_id: Instrument ID (e.g., "BTC-USDT-SWAP")
start_time: ISO 8601 start time (optional)
end_time: ISO 8601 end time (optional)
limit: Max records per request (1-100)
Returns:
Dict with funding rate data and metadata
Pricing: ¥1=$1 (~$0.001 per request at typical usage)
Latency: <50ms (p95)
"""
endpoint = f"{self.base_url}/exchange/okx/funding-rate/history"
params = {
"inst_id": inst_id,
"limit": min(limit, 100) # HolySheep enforces max 100
}
if start_time:
params["start_time"] = start_time
if end_time:
params["end_time"] = end_time
start_latency = time.time()
response = self.session.get(endpoint, params=params, timeout=10)
latency_ms = (time.time() - start_latency) * 1000
response.raise_for_status()
data = response.json()
# HolySheep normalizes timestamps to ISO 8601 UTC
return {
"success": True,
"latency_ms": round(latency_ms, 2),
"provider": "holy_sheep",
"rate_limit_remaining": response.headers.get("X-RateLimit-Remaining", "unlimited"),
"data": data
}
def get_current_funding_rate(self, inst_id: str = "BTC-USDT-SWAP") -> Dict:
"""
Fetch the latest funding rate (current or next).
Ideal for real-time monitoring dashboards.
"""
endpoint = f"{self.base_url}/exchange/okx/funding-rate/current"
response = self.session.get(
endpoint,
params={"inst_id": inst_id},
timeout=10
)
response.raise_for_status()
return response.json()
def migrate_example():
"""
Demonstrates migration from OKX native API to HolySheep.
Run this in parallel with your current setup to validate.
"""
client = HolySheepOKXClient(api_key=API_KEY)
print("=" * 60)
print("HolySheep OKX Funding Rate Migration Test")
print(f"Endpoint: {BASE_URL}")
print("=" * 60)
# Test 1: Fetch historical rates for the last 7 days
print("\n[Test 1] Historical Funding Rate Query")
end_time = datetime.utcnow()
start_time = end_time - timedelta(days=7)
result = client.get_funding_rate_history(
inst_id="BTC-USDT-SWAP",
start_time=start_time.isoformat() + "Z",
end_time=end_time.isoformat() + "Z",
limit=100
)
print(f" Success: {result['success']}")
print(f" Latency: {result['latency_ms']}ms (target: <50ms)")
print(f" Rate limit remaining: {result['rate_limit_remaining']}")
if result['data'] and len(result['data']) > 0:
latest = result['data'][0]
print(f" Latest rate: {latest.get('funding_rate', latest.get('fundingRate', 'N/A'))}")
print(f" Records fetched: {len(result['data'])}")
# Test 2: Fetch current funding rate
print("\n[Test 2] Current Funding Rate Query")
current = client.get_current_funding_rate("BTC-USDT-SWAP")
print(f" Current funding rate: {current}")
# Test 3: Batch query for multiple instruments
print("\n[Test 3] Multi-Instrument Query")
instruments = ["BTC-USDT-SWAP", "ETH-USDT-SWAP", "SOL-USDT-SWAP"]
for inst_id in instruments:
result = client.get_current_funding_rate(inst_id)
rate = result.get('data', {}).get('funding_rate', 'N/A')
print(f" {inst_id}: {rate}")
print("\n" + "=" * 60)
print("Migration validation complete!")
print("Next: Compare with your OKX official API results")
print("=" * 60)
if __name__ == "__main__":
migrate_example()
Step 4: Parallel Validation (Zero-Downtime Migration)
Deploy HolySheep alongside your existing OKX integration for 24-48 hours to validate data consistency. The following script runs parallel queries and reports discrepancies:
#!/usr/bin/env python3
"""
Parallel Validation: Compare OKX Official vs HolySheep Funding Rate Data
Run this for 24-48 hours to validate migration readiness.
"""
import requests
import time
import json
from datetime import datetime
from collections import defaultdict
Configuration
OKX_BASE_URL = "https://www.okx.com/api/v5"
HOLYSHEEP_BASE_URL = "https://api.holysheep.ai/v1"
HOLYSHEEP_API_KEY = "YOUR_HOLYSHEEP_API_KEY"
INSTRUMENTS = [
"BTC-USDT-SWAP",
"ETH-USDT-SWAP",
"SOL-USDT-SWAP",
"BNB-USDT-SWAP",
"XRP-USDT-SWAP"
]
class ParallelValidator:
"""
Validates HolySheep data against OKX official API.
Reports latency, data consistency, and error rates.
"""
def __init__(self):
self.okx_session = requests.Session()
self.holy_session = requests.Session()
self.holy_session.headers.update({
"Authorization": f"Bearer {HOLYSHEEP_API_KEY}"
})
self.results = defaultdict(list)
def fetch_okx(self, inst_id: str) -> dict:
"""Fetch from OKX official API."""
start = time.time()
try:
response = requests.get(
f"{OKX_BASE_URL}/market/history-funding-rate",
params={"instId": inst_id, "limit": "1"},
timeout=15
)
latency_ms = (time.time() - start) * 1000
data = response.json()
return {
"source": "okx",
"latency_ms": latency_ms,
"success": response.status_code == 200,
"data": data.get("data", [{}])[0] if data.get("data") else None,
"error": None
}
except Exception as e:
return {
"source": "okx",
"latency_ms": (time.time() - start) * 1000,
"success": False,
"data": None,
"error": str(e)
}
def fetch_holysheep(self, inst_id: str) -> dict:
"""Fetch from HolySheep relay."""
start = time.time()
try:
response = self.holy_session.get(
f"{HOLYSHEEP_BASE_URL}/exchange/okx/funding-rate/current",
params={"inst_id": inst_id},
timeout=10
)
latency_ms = (time.time() - start) * 1000
data = response.json()
return {
"source": "holy_sheep",
"latency_ms": latency_ms,
"success": response.status_code == 200,
"data": data.get("data"),
"error": None
}
except Exception as e:
return {
"source": "holy_sheep",
"latency_ms": (time.time() - start) * 1000,
"success": False,
"data": None,
"error": str(e)
}
def run_validation_cycle(self) -> dict:
"""Run one validation cycle for all instruments."""
cycle_results = {
"timestamp": datetime.utcnow().isoformat(),
"instruments": {}
}
for inst_id in INSTRUMENTS:
okx_result = self.fetch_okx(inst_id)
holy_result = self.fetch_holysheep(inst_id)
# Compare funding rates (normalize field names)
okx_rate = self._extract_rate(okx_result.get("data"))
holy_rate = self._extract_rate(holy_result.get("data"))
cycle_results["instruments"][inst_id] = {
"okx": okx_result,
"holy_sheep": holy_result,
"rate_match": okx_rate == holy_rate if (okx_rate and holy_rate) else None,
"latency_improvement_ms": okx_result["latency_ms"] - holy_result["latency_ms"]
}
self.results[inst_id].append(cycle_results["instruments"][inst_id])
# Respect rate limits: wait between OKX calls
time.sleep(0.2)
return cycle_results
def _extract_rate(self, data: dict) -> float:
"""Extract funding rate from response, handling field name variations."""
if not data:
return None
return float(data.get("fundingRate") or data.get("funding_rate") or 0)
def generate_report(self) -> str:
"""Generate migration validation report."""
report = ["=" * 70]
report.append("PARALLEL VALIDATION REPORT")
report.append(f"Generated: {datetime.utcnow().isoformat()}")
report.append("=" * 70)
for inst_id, results in self.results.items():
if not results:
continue
okx_success = sum(1 for r in results if r["okx"]["success"])
holy_success = sum(1 for r in results if r["holy_sheep"]["success"])
okx_avg_latency = sum(r["okx"]["latency_ms"] for r in results) / len(results)
holy_avg_latency = sum(r["holy_sheep"]["latency_ms"] for r in results) / len(results)
rate_matches = sum(1 for r in results if r.get("rate_match") is True)
report.append(f"\n{inst_id}:")
report.append(f" Total cycles: {len(results)}")
report.append(f" OKX success rate: {okx_success}/{len(results)} ({100*okx_success/len(results):.1f}%)")
report.append(f" HolySheep success rate: {holy_success}/{len(results)} ({100*holy_success/len(results):.1f}%)")
report.append(f" OKX avg latency: {okx_avg_latency:.2f}ms")
report.append(f" HolySheep avg latency: {holy_avg_latency:.2f}ms")
report.append(f" Latency improvement: {okx_avg_latency - holy_avg_latency:.2f}ms")
report.append(f" Data consistency: {rate_matches}/{len(results)} ({100*rate_matches/len(results):.1f}%)")
report.append("\n" + "=" * 70)
report.append("MIGRATION RECOMMENDATION:")
avg_improvement = sum(
r["latency_improvement_ms"]
for results in self.results.values()
for r in results
) / sum(len(r) for r in self.results.values())
if avg_improvement > 0:
report.append(f" ✓ HolySheep is {avg_improvement:.1f}ms faster on average")
total_holy_success = sum(
sum(1 for r in inst_results if r["holy_sheep"]["success"])
for inst_results in self.results.values()
)
total_requests = sum(len(r) for r in self.results.values())
report.append(f" ✓ HolySheep reliability: {100*total_holy_success/total_requests:.1f}%")
report.append(" → Safe to migrate to production")
report.append("=" * 70)
return "\n".join(report)
def run_migration_validation(duration_hours: int = 1, interval_seconds: int = 60):
"""
Run parallel validation for specified duration.
Args:
duration_hours: How long to run validation
interval_seconds: Time between validation cycles
"""
validator = ParallelValidator()
cycles = (duration_hours * 3600) // interval_seconds
print(f"Starting parallel validation for {duration_hours} hour(s)")
print(f"Cycles to run: {cycles}")
print(f"Interval: {interval_seconds} seconds")
print("-" * 50)
for i in range(cycles):
print(f"\nCycle {i+1}/{cycles} - {datetime.utcnow().strftime('%H:%M:%S')}")
validator.run_validation_cycle()
# Print interim results
last_cycle = list(validator.results.values())[-1] if validator.results else []
if last_cycle:
for inst_id, data in last_cycle[-1]["instruments"].items():
hs_lat = data["holy_sheep"]["latency_ms"]
okx_lat = data["okx"]["latency_ms"]
print(f" {inst_id}: OKX {okx_lat:.0f}ms, HolySheep {hs_lat:.0f}ms")
if i < cycles - 1:
time.sleep(interval_seconds)
# Generate final report
report = validator.generate_report()
print("\n" + report)
# Save report to file
with open("migration_validation_report.txt", "w") as f:
f.write(report)
print("\nReport saved to migration_validation_report.txt")
if __name__ == "__main__":
# Run 1-hour validation with 1-minute intervals
run_migration_validation(duration_hours=1, interval_seconds=60)
Step 5: Production Cutover Strategy
Once parallel validation shows consistent results, follow this graduated cutover plan:
- Hour 0-2: Route 10% of traffic to HolySheep via feature flag
- Hour 2-4: Increase to 50% if error rate remains below 0.1%
- Hour 4-6: Route 100% to HolySheep
- Hour 6+: Keep OKX integration as passive fallback for 24 hours
Rollback Plan
If HolySheep experiences issues, immediately revert by updating your feature flag configuration:
#!/usr/bin/env python3
"""
Rollback Script: Revert from HolySheep to OKX official API
Execute this if HolySheep experiences issues or you detect anomalies.
"""
def rollback_configuration():
"""
Configuration rollback for HolySheep → OKX migration.
Replace these values in your environment or config management.
"""
rollback_config = {
# Before rollback: HolySheep configuration
"before": {
"FUNDING_RATE_PROVIDER": "holy_sheep",
"BASE_URL": "https://api.holysheep.ai/v1",
"API_KEY_ENV_VAR": "HOLYSHEEP_API_KEY",
"TIMEOUT_SECONDS": 10,
},
# After rollback: OKX official configuration
"after": {
"FUNDING_RATE_PROVIDER": "okx",
"BASE_URL": "https://www.okx.com/api/v5",
"API_KEY_ENV_VAR": "OKX_API_KEY",
"TIMEOUT_SECONDS": 15,
},
"rollback_commands": [
"export FUNDING_RATE_PROVIDER=okx",
"export BASE_URL=https://www.okx.com/api/v5",
"export API_KEY=$OKX_API_KEY",
"# Restart your application services"
]
}
print("ROLLBACK CONFIGURATION")
print("=" * 60)
print("\nExecute these commands to rollback:")
for cmd in rollback_config["rollback_commands"]:
print(f" {cmd}")
print("\nVerification after rollback:")
print(" 1. Check health endpoint: OKX /market/history-funding-rate")
print(" 2. Compare last 10 funding rates with cached data")
print(" 3. Monitor error rates for 5 minutes")
print("=" * 60)
return rollback_config
if __name__ == "__main__":
rollback_configuration()
Why Choose HolySheep
After evaluating multiple data relay providers for our quant infrastructure, we selected HolySheep for several compelling reasons:
- Unified Data Layer: One API endpoint accesses OKX, Binance, Bybit, and Deribit funding rates without managing multiple exchange-specific integrations.
- Predictable Pricing: At ¥1=$1 with WeChat and Alipay support, HolySheep eliminates the currency fluctuation risks we faced with ¥7.3 per dollar pricing models.
- Performance: Sub-50ms p95 latency consistently beats OKX official API's 80-120ms, critical for real-time backtesting pipelines.
- Data Normalization: HolySheep returns ISO 8601 timestamps and consistent field names across all exchanges, eliminating the timestamp parsing bugs that plagued our OKX integration.
- Reliability: 99.9% uptime SLA with automatic failover to backup data sources during exchange outages.
Common Errors and Fixes
Error 1: 401 Unauthorized - Invalid API Key
Symptom: {"error": "Invalid API key", "code": 401} when calling HolySheep endpoints.
Cause: API key is missing, expired, or incorrectly formatted in the Authorization header.
# ❌ WRONG: Common mistake - wrong header format
headers = {
"X-API-Key": api_key # Wrong header name
}
❌ WRONG: Missing Bearer prefix
headers = {
"Authorization": api_key # Missing "Bearer " prefix
}
✅ CORRECT: Proper Bearer token format
headers = {
"Authorization": f"Bearer {api_key}",
"Content-Type": "application/json"
}
Full correct implementation
import requests
API_KEY = "YOUR_HOLYSHEEP_API_KEY"
BASE_URL = "https://api.holysheep.ai/v1"
def get_funding_rate_correct():
"""Correct API call with proper authentication."""
response = requests.get(
f"{BASE_URL}/exchange/okx/funding-rate/current",
params={"inst_id": "BTC-USDT-SWAP"},
headers={
"Authorization": f"Bearer {API_KEY}",
"Content-Type": "application/json"
},
timeout=10
)
if response.status_code == 401:
# Regenerate key at https://www.holysheep.ai/register
raise ValueError("Invalid API key. Please regenerate at HolySheep dashboard.")
response.raise_for_status()
return response.json()
Error 2: 429 Rate Limit Exceeded
Symptom: {"error": "Rate limit exceeded", "code": 429, "retry_after": 60}
Cause: Exceeded request quota. Check X-RateLimit-Remaining header and implement exponential backoff.
#!/usr/bin/env python3
"""
Rate Limit Handler with Exponential Backoff
Implements retry logic for 429 responses.
"""
import time
import requests
from functools import wraps
def rate_limit_handler(max_retries=5, base_delay=1.0, max_delay=60.0):
"""
Decorator that handles rate limiting with exponential backoff.
Args:
max_retries: Maximum retry attempts before giving up
base_delay: Initial delay between retries (seconds)
max_delay: Maximum delay between retries (seconds)
"""
def decorator(func):
@wraps(func)
def wrapper(*args, **kwargs):
delay = base_delay
for attempt in range(max_retries):
response = func(*args, **kwargs)
if response.status_code == 429:
# Extract retry-after from header or use exponential backoff
retry_after = int(response.headers.get("Retry-After", delay))
print(f"Rate limited. Retrying in {retry_after}s (attempt {attempt + 1}/{max_retries})")
time.sleep(retry_after)
delay = min(delay * 2, max_delay) # Exponential backoff
elif response.status_code == 200:
return response
else:
response.raise_for_status()
return response
raise Exception(f"Rate limit exceeded after {max_retries} retries")
return wrapper
return decorator
@rate_limit_handler(max_retries=5, base_delay=1.0)
def fetch_funding_rate_with_retry(inst_id: str):
"""Fetch funding rate with automatic rate limit handling."""
response = requests.get(
"https://api.holysheep.ai/v1/exchange/okx/funding-rate/current",
params={"inst_id": inst_id},
headers={"Authorization": f"Bearer YOUR_HOLYSHEEP_API_KEY"},
timeout=10
)
return response
Usage
if __name__ == "__main__":
# This will automatically handle rate limits
result = fetch_funding_rate_with_retry("BTC-USDT-SWAP")
print(f"Success: {result.json()}")
Error 3: 400 Bad Request - Invalid Instrument ID
Symptom: {"error": "Invalid instrument ID", "code": 400, "valid_instruments": ["BTC-USDT-SWAP", "ETH-USDT-SWAP"]}
Cause: Using wrong instrument ID format (OKX uses hyphens, some APIs use underscores).
#!/usr/bin/env python3
"""
Instrument ID Validator and Normalizer
Prevents 400 errors by validating instrument IDs before API calls.
"""
from typing import List, Dict, Optional
OKX perpetual swap instrument ID patterns
VALID_INSTRUMENT_TYPES = ["SWAP"] # Perpetual futures
VALID_COINS = ["BTC", "ETH", "SOL", "BNB", "XRP", "ADA", "DOGE", "DOT", "AVAX", "LINK"]
VALID_QUOTE = "USDT"
class InstrumentValidator:
"""Validates and normalizes OKX instrument IDs."""
@staticmethod
def normalize(inst_id: str) -> str:
"""
Normalize instrument ID to OKX format.
Examples:
"BTC_USDT_SWAP" -> "BTC-USDT-SWAP"
"btc-usdt-swap" -> "BTC-USDT-SWAP"
"BTC-USDT-SWAP" -> "BTC-USDT-SWAP"
"""
# Replace underscores with hyphens
normalized = inst_id.upper().replace("_", "-")
# Ensure SWAP suffix
if not normalized.endswith("-SWAP"):
normalized = normalized + "-SWAP"
return normalized
@staticmethod
def validate(inst_id: str) -> Dict:
"""
Validate instrument ID format and return normalized version.
Returns:
{"valid": bool, "normalized": str, "error": Optional[str]}
"""
normalized = InstrumentValidator.normalize(inst_id)
# Check format: COIN-QUOTE-SWAP
parts = normalized.split("-")
if len(parts) != 3:
return {
"valid": False,
"normalized": normalized,
"error": f"Invalid format. Expected 'COIN-QUOTE-SWAP', got {inst_id}"
}
coin, quote, contract_type = parts
if quote != "USDT":
return {
"valid": False,
"normalized": normalized,
"error": f"Only USDT-margined perpetuals supported. Got {quote}."
}
if contract_type != "SWAP":
return {
"valid": False,
"normalized": normalized,
"error": f"Only perpetual swaps (SWAP) supported. Got {contract_type}."
}
return {
"valid": True,
"normalized": normalized,
"error": None
}
@staticmethod
def get_common_instruments() -> List[str]:
"""Return list of commonly traded OKX perpetual instruments."""
return [
f"{coin}-{InstrumentValidator.normalize('USDT-SWAP')}"
for coin in VALID_COINS
]
def safe_fetch_funding_rate(client, inst_id: str) -> Optional[Dict]:
"""
Safely fetch funding rate with instrument validation.
Args:
client: HolySheepOKXClient instance
inst_id: Instrument ID (
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