Research & Analytics

60 days of data, real orderbook depth, and multi-factor scoring. Ask your AI and get answers no dashboard can show you.

Why this matters

Most funding rate tools show you a table of current rates. ProFunding gives your AI access to 60 days of historical data, real-time orderbook depth, and proprietary scoring that combines seven risk factors.

Ask a question in plain language. Get quantitative analysis that would take hours to do manually.

Full pair analysis

The analyze_pair tool runs five queries in parallel and returns everything in one response:

Current rates. Live funding on both exchanges with net APR and breakeven
7-day backtest. Simulated PnL, funding earned, fees paid, Sharpe ratio, spread impact
30-day intelligence. Smart score, stability percentage, risk level, depth tier
Orderbook depth. Both legs analyzed at your position size. Real slippage, not estimates
Price spread risk. Average and max divergence between exchanges over 7 days

One command. Full picture.

Example: "Analyze ETH on Hyperliquid vs Lighter for a $5,000 position"

Smart scoring

The Smart Score ranks opportunities by more than just APR. Seven factors, weighted together:

Factor	What it catches
APR	Raw return. Higher is better, but not enough on its own
Stability	How steady is the rate? A pair that jumps between 200% and -50% scores poorly
Consistency	What percentage of hours was the spread actually positive?
Trend	Is the rate improving or declining? Catches fading opportunities
Spread risk	Price divergence between exchanges. High divergence means your "neutral" position has directional risk
Depth	Can you actually fill at this size? Based on real orderbook data
Data confidence	New pairs with 2 days of data get discounted vs pairs with 30 days

A 300% APR pair with 40% stability and thin books will score below a 60% APR pair that's been consistent for a month with deep liquidity. That's the point.

Pair intelligence

30 days of hourly data condensed into actionable metrics:

Backtested APR. Not current rate. What you'd have actually earned over 30 days
Stability. Percentage of hours the spread was positive
Spread volatility. Standard deviation of hourly spreads. Lower is more predictable
Risk level. Low, medium, or high based on volatility and consistency
Depth score. Orderbook liquidity tier ($10k+, $5-10k, $1-5k, or under $1k)
Adjusted breakeven. Fee breakeven accounting for spread risk

Updated every 5 minutes. Ask: "What's the intelligence on SOL across all exchanges?"

Momentum movers

Spot opportunities as they form. get_momentum_movers compares funding rates from the last 3 hours against 5-7 hours ago and shows the biggest jumps.

Example output:

BTC/USDC  Hyperliquid/Lighter  42% → 58% APR (↑+16%)
ETH/USDC  Aster/Extended       35% → 48% APR (↑+13%)

Only shows pairs currently above 30% APR. Sorted by jump size.

Ask: "Any momentum movers right now?"

Active streaks

get_still_paying finds pairs that have been above 50% APR for 24+ hours straight and are still paying right now.

These aren't spikes. These are sustained opportunities that have proven themselves over at least a full day. The tool shows average APR during the streak and estimated earnings on a $1K position at 5x leverage.

Ask: "What's still paying above 50% right now?"

Liquidity checks

check_liquidity queries the live orderbook and shows real slippage at multiple position sizes:

ETH/USDC on Hyperliquid
  Spread: 0.0012% (156 bid / 148 ask levels)
  $100:  buy 0.0003% / sell 0.0004%
  $500:  buy 0.0008% / sell 0.0012%
  $1000: buy 0.0015% / sell 0.0021%
  $5000: buy 0.0045% / sell 0.0068%

Plus 24h volume and open interest. No guessing. Real book depth.

Ask: "Check liquidity for PROVE on Aster at $2,000"

Price spread risk

Two exchanges list the same asset but their prices can drift apart. get_price_spread_data shows how much.

Average divergence over your chosen period
Maximum divergence (worst case)
Hours above 0.5% spread (when it gets risky)

If the spread between exchanges is consistently wide, your "delta-neutral" position has hidden directional risk. This tool quantifies it.

Ask: "What's the price spread risk on BTC between Hyperliquid and Lighter over 14 days?"

Backtests

run_backtest simulates holding a delta-neutral position over any period from 1 to 60 days.

You set: pair, exchanges, position size, period, execution cost in basis points.

You get:

Total PnL with ROI percentage
Funding earned and fees paid separately
Sharpe ratio (risk-adjusted return)
Price spread PnL (did exchange divergence help or hurt?)
Daily breakdown with cumulative PnL curve

Ask: "Backtest DOGE on Hyperliquid vs Aster, $3K, 30 days"

60 days of history

Every pair, every exchange, every hour. get_historical_rates returns the raw funding rate time series for any combination.

Average, min, and max APR over the period. Use it to spot seasonal patterns or validate that a pair's current rate is typical, not an outlier.

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