Articles on crypto market intelligence, trading APIs, AI agents, derivatives data, and building algorithmic trading systems.
Most "crypto prompts" fail because the model has no live data. These 10 free, copy-paste prompts each plug into a real CryptoDataAPI endpoint — so your LLM analyzes what the market is actually doing, not what it remembers.
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Most vendors sell direction. We tested our own HMM honestly: it nails the current market state within hours and routes strategies measurably — but it does not predict where price goes next. Here are the base rates.
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Options traders watch dealer gamma to know when the market amplifies a move or mean-reverts. Perps have no options chain — so we built the analog from market-maker inventory and on-chain liquidation density.
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Exchange-deposit alerts lag the decision. On Hyperliquid the positions are on-chain, so you can read the live margin book of every $100k+ account — net bias, conviction, and the coins whales hold most.
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An aggregate long/short ratio hides who is actually positioned. This endpoint splits every coin's book by trader type — market maker, whale, and everyone else — so you know whose money is on each side.
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Fanning out two calls per coin across 200+ perps is slow and rate-limit-hungry. This endpoint batches the whole universe's risk model — regime, liquidation risk, volatility and sizing — into one response.
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Would you let a black box size your trades? The model-card endpoint exposes exactly what the regime engine is, how it validated, and whether it's drifting — so your agent can decide whether to trust today's call.
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Most 'historical regimes' are relabeled with hindsight — which quietly poisons any backtest. This timeline is labeled by the same model that runs live, fold-honest, every day since 2019.
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The price history that trains serious quant models isn't behind a paywall — it's a free, checksummed archive on Binance's own CDN. Here's how to pull years of perp klines and funding in an afternoon.
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You can't backtest a regime strategy without knowing the past regime at every hour. Now you can download it — the full 6-regime market history, hourly since 2020, with now/4h/24h probabilities, in one Parquet.
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Most regime tools hand you one label and hide the uncertainty. The quant engine returns a calibrated probability across six market states every hour — so your bot knows the difference between 'definitely ranging' and 'a coin-flip between range and breakout'.
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Price is what you see; depth is what you actually get filled at. This feed exposes live order-book liquidity — depth within bps of mid, spread, and imbalance — so your agent sizes orders the book can actually absorb.
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