TraderSpy

Reviewed Jan 1, 2000.

• tools: 17 tools scanned
• metadata: scanned

No findings.

Tools (17)

• get_signals

  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_signal_details

  Use this when the user needs full details for one AI signal by ID, including review and resolution data.

• get_signal_stats

  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_top_traders

  Use this when the user wants ranked smart-money traders across supported exchanges with sorting and filtering.

• get_elite_leaderboard

  Use this when the user specifically asks for the elite leaderboard by SmartScore across exchanges.

• get_trader_profile

  Use this when the user needs one trader profile, including metrics and latest positions.

• get_trader_position_history

  Use this when the user asks for closed trade history of a specific trader.

• get_positions

  Use this when the user asks for current or historical smart-money positions, optionally filtered by status, source, or symbol.

• get_market_stats

  Use this when the user asks for aggregate market stats (positions, PNL, win rate), optionally scoped by source and period.

• get_exchanges

  Use this when the user asks which exchanges are currently available in TraderSpy smart-money tracking.

• get_price

  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_candles

  Get OHLCV (Open, High, Low, Close, Volume) candle data for a crypto futures symbol. Useful for charting, price history, and technical analysis.

• get_tracked_symbols

  List all crypto futures symbols currently tracked by TraderSpy with real-time candle data available.

• get_technical_indicators

  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_derivatives

  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.

• screen_symbols

  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.

• backtest_condition

  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.