ChatGPT Plugin

TraderSpy

Crypto signals and whale data

Brand: TraderSpy

Category: Finance
Primary Subcategory: Crypto Exchanges & Market Data

Integration details

Description

TraderSpy connects ChatGPT to live crypto futures data, so you can ask about the market instead of tab-hopping between exchanges. Ask what the AI signal engine has published for a coin and you get the entry, the take-profit ladder, the stop and what actually happened to earlier signals — not just a direction. Ask what the whales are doing and you get real positions held by top-performing traders on Binance, Hyperliquid, Bybit and OKX, plus a leaderboard scored on PnL, win rate, ROI and consistency. Prices, candles and 13 technical indicators are one question away, and with your own account connected you can ask how far a position sits from liquidation. Every tool is read-only. TraderSpy cannot place, close or modify an order and has no withdrawal or transfer tool — it answers questions, you place your own trades. A free account is enough to start.

Integration type: Plugin
Verification status: Not applicable
Platform: ChatGPT
Category: Finance
Primary Subcategory: Crypto Exchanges & Market Data
Secondary Subcategories: None listed
Brand: TraderSpy
Access: Account required
First tracked: 2026-08-28
Tool count: 17
Geography: US

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Primary Subcategory

Competing in ChatGPT Crypto Exchanges & Market Data

View Category

Listed in alphabetical order

Primary Subcategory

AIXBTComing soonGet notified

BinanceComing soonGet notified

BlockworksComing soonGet notified

BybitComing soonGet notified

CoinGeckoComing soonGet notified

TraderSpyComing soonGet notified

Tools

17 tools agents can invoke

What happened AFTER a condition in the past, on one symbol and timeframe — "how did BTC do after RSI dropped below 30 on 4h", "is a golden cross on ETH daily actually bullish", "what usually follows a −5% day on SOL". Runs an event study over the whole stored tape (up to 1000 candles: ~41 days on 1h, ~166 days on 4h, ~3 years on 1d): occurrences, average / median forward return, win rate, average best and worst excursion per horizon, the unconditional baseline over the same tape and the EDGE the condition adds over it, the last five episodes, and whether the condition is active on the latest bar. Same condition vocabulary as screen_symbols. Quote the edge and the sample size together — a 3-sample stat is an anecdote.
backtest_condition
Use this when the user asks for recent public AI crypto trading signals, optionally filtered by coin, importance, strategy (the preset that produced them, by name) or pagination. When the user names a count ("last 5 signals"), pass it as `limit` — the card view renders exactly what was fetched, so over-fetching shows more cards than the user asked for.
get_signals
Get OHLCV (Open, High, Low, Close, Volume) candle data for a crypto futures symbol. Useful for charting, price history, and technical analysis.
get_candles
Use this when the user specifically asks for the elite leaderboard by SmartScore across exchanges.
get_elite_leaderboard
Funding rate, open interest and positioning for Binance USDⓈ-M perpetual futures — the derivatives questions candles cannot answer: is funding high (who is paying whom, annualized), is open interest building or unwinding (24h/4h change, and the OI×price regime: new longs, short covering, new shorts, long liquidation), and which way accounts lean (top-trader long/short by position, all-account ratio, taker buy/sell flow). Each symbol carries plain-language notes — quote those. Up to 5 symbols per call; data is 60s fresh.
get_derivatives
Get real-time price data for one or more crypto futures symbols. Returns current price, 24h high/low, volume, and 24h price change percentage.
get_price
Use this when the user asks for aggregate market stats (positions, PNL, win rate), optionally scoped by source and period.
get_market_stats
Use this when the user needs full details for one AI signal by ID, including review and resolution data.
get_signal_details
Use this when the user asks for aggregate AI signal performance statistics over a specific period — overall, or for one strategy (preset) by name. The answer also breaks the period down per strategy (byStrategy), which is how to learn the strategy names for get_signals.
get_signal_stats
Use this when the user asks for current or historical smart-money positions, optionally filtered by status, source, or symbol.
get_positions
Technical analysis for a crypto futures symbol. 19 indicators: RSI, MACD, EMA, SMA, Bollinger Bands, ATR, ADX (+DI/−DI), Stochastic, OBV (with price divergence), VWAP, CCI, MFI, Williams %R, ROC, SuperTrend, Ichimoku, Keltner Channels, classic pivot points and swing support/resistance levels. Every indicator returns its current value, the previous bar, a rising/falling/flat direction, a short `series` history and — where it applies — zones and crossovers. EMA/SMA accept several periods at once (default 20/50/200); every period is overridable via `periods`. Pass `intervals` (up to 3) to get 1h/4h/1d in ONE call with a multi-timeframe `confluence` verdict. Each timeframe also carries a `summary` (bias, trend, momentum, volatility, volume, plain-language notes) computed from a fixed indicator set — quote its notes rather than the raw score. For several coins pass `symbols` (up to 3) instead of one call per coin: ONE call and one quota unit, one entry per symbol in `data`.
get_technical_indicators
Use this when the user wants ranked smart-money traders across supported exchanges with sorting and filtering.
get_top_traders
Use this when the user asks which exchanges are currently available in TraderSpy smart-money tracking.
get_exchanges
List all crypto futures symbols currently tracked by TraderSpy with real-time candle data available.
get_tracked_symbols
Use this when the user asks for closed trade history of a specific trader.
get_trader_position_history
Use this when the user needs one trader profile, including metrics and latest positions.
get_trader_profile
Screen MANY crypto futures symbols at once on one timeframe — "which coins are oversold on 4h", "what is above its 200 EMA with rising volume", "show me squeezes". Give up to 3 AND-ed conditions from a fixed metric list (RSI, stochastic, CCI, MFI, Williams %R, ADX, ROC, MACD histogram, ATR%, volume ratio, Bollinger %B / width, price vs EMA, EMA spread, SuperTrend, change %, price) with lt / gt / crossAbove / crossBelow. Scans the most-traded symbols by 24h volume (default 50, max 100) or an explicit list; every row carries the metric values plus bias, trend, RSI, ADX, ATR% and 24h change. With NO conditions and explicit `symbols` it is a side-by-side comparison table ("compare BTC, ETH, SOL"). ONE quota unit however many symbols — always prefer this over calling get_technical_indicators in a loop.
screen_symbols

FAQs

TraderSpy ChatGPT Plugin FAQ

How the directory, categories and Discoverability Score work.

Read the methodology

How do I improve TraderSpy's ChatGPT Plugin discoverability?

The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

What are TraderSpy alternatives on ChatGPT?

As of 2026-10-12, TraderSpy competes with AIXBT, Binance, Blockworks, Bybit, CoinGecko, CoinMarketCap, CryptoAudit, CryptoSocials and 9 more in ChatGPT Crypto Exchanges & Market Data, ranked by public Discoverability Score.

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.