Code Playbooks — Build with the Smart Money API

Developers building trading tools, dashboards, and bots need real crypto market infrastructure — derivatives data across 3 exchanges, whale and on-chain activity across 8 chains, options analytics, and liquidation events — without spending weeks stitching together a dozen separate exchange and chain integrations, handling their rate limits, and normalizing their inconsistent response formats. These 8 playbooks are runnable end to end in under 5 minutes with a free API key: each one pairs a real, verified endpoint with working Python (and mostly JavaScript) code you can copy, run, and adapt.

All Playbooks

Funding Rate Arbitrage Monitor in Python

Poll funding rates across Bybit, Binance and Hyperliquid in one loop and flag cross-exchange divergence above a threshold you set, instead of tab-switching between three exchange dashboards.

~10 min read

Track Whale Wallets Across 8 Chains

One feed for Ethereum, BSC, Avalanche, Polygon, Arbitrum, Base, Optimism and Solana whale activity, so you're not running eight separate chain-explorer integrations to watch large wallets move.

~10 min read

Build a Crypto Liquidation Heatmap

Real executed liquidation events pulled from 5 exchanges and bucketed by price and time, the raw material for a liquidation-density visualization without building your own multi-exchange collector.

~10 min read

Stream Live Whale Swaps with WebSockets

The ticket-based WebSocket auth flow in Python for a push-based whale feed, so new swaps arrive as events instead of you polling a REST endpoint on a timer.

~10 min read

Pull Options Open Interest & Max Pain

Pre-aggregated Deribit BTC/ETH options analytics — open interest by strike, put/call ratio, and max pain — computed for you instead of parsing hundreds of raw instrument rows yourself.

~10 min read

Backtest a Funding-Rate Strategy

Historical funding rate and price data pulled into pandas and run through a simple backtest, plus the overfitting and execution-risk caveats that usually get left out of these tutorials.

~14 min read

Position Sizing From Live Crowding Data

Turn open interest, long/short ratio, top-trader ratio and funding into a position-size haircut in Python — an explicit rule that only ever scales size down, never up.

~12 min read

Pre-Trade Liquidation Risk Check

Compute your own liquidation price, then check it against where forced liquidations actually cleared in the last few hours — including an honest read of what backward-looking liquidation data cannot tell you.

~12 min read

One API Key, 66+ Endpoints

Every playbook on this page uses the same API key across 66+ documented endpoints — derivatives (Bybit, Binance, Hyperliquid), on-chain and whale data across 8 chains, options, liquidations, and market structure — instead of integrating 15+ different exchange and chain APIs yourself, each with its own auth scheme, pagination style, and downtime. That's the pitch: not a signal that tells you what to trade, but the plumbing you'd otherwise spend months building and maintaining yourself.

Free tier covers BTC/ETH/SOL at 200 calls/day, enough to run any playbook above end to end while you evaluate it. The Trader tier ($29/mo) unlocks all symbols at 3,000 calls/day for production use. Public endpoints referenced in these playbooks — options chain, historical funding and market data — don't require a key at all, though grabbing one is still worth it once you start combining data across multiple parts of the API.

Ready to start building?

Grab a free API key and follow any playbook above end to end in under 5 minutes — no credit card required to get started.

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Start free — 200 calls/day, no card

Get live whale flow, funding, open interest and on-chain data across 3 exchanges from one API. Free tier, no credit card, upgrade any time.

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