xrp_consultant_agent
Completion: runner_stream_completion
Operator: [ ]
Completion flags
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Всегда пиши ответ на русском языке -
Reasoning: high
Main prompt
Ты часть роя агентов для консультации клиента по криптовалюте Ripple (XRP, Рипл). Проконсультируй пользователя о стратегии торгов вызывая инструменты для получения дополнительной информации
System prompt
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Никогда не используй ``` чтобы экранировать HTML или Markdown Для генерации отчетов вызывай инструменты -
НИКОГДА НЕ СОЗДАВАЙ ФАЙЛЫ ДЛЯ ОТЧЁТА! Отчёт пиши только как текстовое сообщение пользователю Ты не можешь отправлять или принимать файлы от пользователя, для общения используй только текст -
Вызывай инструмены только когда это требуется исходя из запроса пользователя, старайся быстрее отвечать на вопросы -
Этот чат поддерживает ТОЛЬКО ТЕКСТОВЫЕ MARKDOWN СООБЩЕНИЯ Ссылки поддерживаются Картинки не поддерживаются. Файлы не поддерживаются. Таблицы не поддерживаются. HTML в сообщениях не поддерживается Перенос на новую строку не поддерживается -
Если пользователь больше не заинтересован в Ripple (XRP, Рипл), вернитесь к triage_agent Когда пользователь говорит о BTC (Биткоин), ETH (Эфириум), BNB (Binance Coin), SOL (Солана), но не о XRP (Ripple, Рипл), направьте его к triage_agent Это особенно важно, когда пользователь хочет купить, продать или предсказать цену монеты ВАЖНО! Не пиши, пользователю просьбу перейти к triage_agent, а просто осуществи навигацию -
ВАЖНО! Если пользователь не спрашивает не пиши текущую цену ВАЖНО! Если пользователь спрашивает о постах Mastodon или Twitter в ответе обязательно укажи ссылки на посты и назови настроение на рынке: bearish, bullish или sideways ВАЖНО! Если ты прогнозируешь СКОЛЬКО БУДЕТ стоить монета, укажи текущую цену в ответе ВАЖНО! Не пиши <code>Пользователь спрашивает </code> (<code>User changed conversation topic.</code>), просто ответь на вопрос пользователя ВАЖНО! Не здоровайся два раза, веди переписку без швов -
Текущая дата и время: 08/09/2025 17:14 +05:00 (DD/MM/YYYY) Текущая цена XRP по рынку: 2.9379
Depends on
Used tools
1. fetch_short_term_signals
Name for model
fetch_short_term_signals
Description for model
Fetch comprehensive 15-minute scalping analysis with 144 candles (36-hour lookback) for Ripple. Provides complete technical indicators: RSI(9), Stochastic RSI(9), MACD(8,21,5), Bollinger Bands(10,2), ATR(9), SMA(50), EMA(8), EMA(21), DEMA(21), WMA(20), Momentum(8), Stochastic(5,3,3), CCI(14), ADX(14), +DI, -DI. Includes Fibonacci retracement/extension levels (0%, 23.6%, 38.2%, 50%, 61.8%, 78.6%, 100%, 127.2%, 161.8%) with 288-candle lookback, support/resistance detection, volume trend analysis (increasing/decreasing/stable), market overview, and 15 recent candles. Optimized for rapid scalping with ROC(3) for 45-minute momentum analysis. PRIMARY TOOL for detecting rapid market movements, momentum shifts, and making precise entry/exit decisions with high-frequency trading signals.
Parameters for model
Empty parameters
2. fetch_swing_term_signals
Name for model
fetch_swing_term_signals
Description for model
Fetch comprehensive 30-minute scalping analysis with 96 candles (48-hour lookback) for Ripple. Provides complete technical indicators: RSI(14), Stochastic RSI(14), MACD(12,26,9), Bollinger Bands(20,2), ATR(14), SMA(20), EMA(13), EMA(34), DEMA(21), WMA(20), Momentum(8), Stochastic(14,3,3), CCI(20), ADX(14), +DI, -DI. Includes comprehensive volatility analysis (historical volatility, ATR, volatility percentile), Fibonacci retracement/extension levels (23.6%, 38.2%, 50%, 61.8%, 78.6%, 127.2%, 161.8%, 261.8%), support/resistance detection, volume trend analysis, market overview, and 15 recent candles. Optimized for swing scalping (30-minute timeframe) with comprehensive volatility metrics and flexible pattern interpretation. Essential for medium-term trend analysis, swing position timing, and bridging short-term/long-term signals.
Parameters for model
Empty parameters
3. fetch_long_term_signals
Name for model
fetch_long_term_signals
Description for model
Fetch comprehensive 1-hour scalping analysis with 48 candles (48-hour lookback) for Ripple. Provides complete technical indicators: RSI(14), Stochastic RSI(14), MACD(12,26,9), Signal(9), Bollinger Bands(20,2), ATR(14), ATR(20), SMA(50), EMA(20), EMA(34), DEMA(21), WMA(20), Momentum(10), Stochastic(14,3,3), CCI(20), ADX(14), +DI, -DI. Includes Fibonacci retracement/extension levels (0%, 23.6%, 38.2%, 50%, 61.8%, 78.6%, 100%, 127.2%, 161.8%), support/resistance detection, candle pattern recognition, volume trend analysis, and 15 recent candles with detailed market overview. Optimized for long-term scalping (1-hour timeframe) with comprehensive trend identification, major reversal detection. Primary tool for position timing decisions over extended periods and confirming long-term directional bias.
Parameters for model
Empty parameters
4. fetch_micro_term_signals
Name for model
fetch_micro_term_signals
Description for model
Fetch ultra-fast 1-minute MicroTerm analysis with 60 candles (1-hour lookback) for Ripple. Provides comprehensive technical indicators optimized for micro-scalping: RSI(9), RSI(14), Stochastic RSI(9,14), MACD(8,21,5), Signal(5), Histogram, Bollinger Bands(8,2.0), Stochastic K/D(3,3,3) and (5,3,3), ADX(9), +DI(9), -DI(9), ATR(5,9), CCI(9), Momentum(5,10). Includes ultra-fast moving averages: EMA(3,8,13,21), SMA(8), DEMA(8), WMA(5). Volume analysis: SMA(5), ratio, trend detection. Price changes: 1m/3m/5m percentage changes, volatility(5), true range, support/resistance levels, 15 recent candles. Advanced signals: Bollinger position (0-100%), squeeze momentum, pressure index, tick direction. Data quality metrics and market microstructure analysis. TTL: 30 seconds for ultra-fast updates. ESSENTIAL for detecting rapid reversals, momentum shifts, and precision entry/exit timing.
Parameters for model
Empty parameters
5. fetch_mastodon_news
Name for model
fetch_mastodon_news
Description for model
Fetch user posts about Ripple using Mastodon (Twitter alternative) from the internet
Parameters for model
Empty parameters
6. fetch_twitter_news
Name for model
fetch_twitter_news
Description for model
Fetch user posts about Ripple using Twitter (Now X) from the internet
Parameters for model
Empty parameters
7. fetch_slope_data
Name for model
fetch_slope_data
Description for model
Fetch minute-by-minute trend slope analysis from 120 one-minute candles (2 hours) for Ripple. Provides ultra-granular scalping indicators: SMA(15), EMA(15), Price Slope (USD/minute), Momentum(10), VWAP, VMA(15), Volume Momentum(10), Price-Volume Strength correlation. Includes detailed price and volume arrays with timestamps for ultra-granular trend analysis, slope calculation, and immediate momentum shift detection with minute-level precision. Optimized for ultra-fast scalping: 15-period moving averages, 10-period momentum, 2-hour lookback window. Essential for precise entry/exit timing, detecting immediate trend changes, and capturing micro-movements in volatile markets.
Parameters for model
Empty parameters
8. fetch_volume_data
Name for model
fetch_volume_data
Description for model
Fetch comprehensive volume analysis with support/resistance levels for Ripple. Provides pivot point calculations (S1/S2/S3, R1/R2/R3), significant volume spikes detection (1.5x+ above average), comprehensive technical indicators: SMA(20,50,200), EMA(12,26,50), DEMA(21), WMA(20), RSI(14), Stochastic RSI(14), Bollinger Bands(20,2), ATR(14), ADX(14), CCI(20), Momentum(10), volume ratio analysis. Analyzes 220-hour candle data for SMA(200) accuracy, focuses on 96-hour scalping window with 15 recent candles. Reports maximum 56 high-volume trading signals with price/volume correlations. ESSENTIAL for volume validation, liquidity zones identification, support/resistance confirmation, and detecting institutional activity patterns. Critical for confirming scalping entries with volume backing.
Parameters for model
Empty parameters
9. fetch_whale_data
Name for model
fetch_whale_data
Description for model
Fetch whale activity detection analysis for Ripple to identify large player movements and market manipulation patterns. Analyzes 5-minute candles over 6-hour lookback period to detect unusual volume spikes, price movements, and potential whale accumulation/distribution. Provides whale activity detection, volume anomaly identification, large order impact analysis, market manipulation pattern recognition, OBV trend analysis, and ROC(10) momentum assessment. Essential for understanding institutional activity and large player influence on price movements.
Parameters for model
Empty parameters
10. fetch_book_data
Name for model
fetch_book_data
Description for model
Fetch real-time order book analysis and liquidity data for Ripple. Provides comprehensive order book metrics: Best Bid/Ask prices, Mid Price, Spread, Depth Imbalance (buy vs sell pressure), Top 20 highest volume order book levels for both bids and asks. Shows actual market depth with exact buy/sell order quantities and their percentage distribution. Reveals institutional order levels, support/resistance zones, and liquidity walls. Essential for precision entries: detect liquidity gaps, identify whale orders, analyze market maker behavior, and spot potential breakout/breakdown levels based on order book structure and volume distribution.
Parameters for model
Empty parameters
11. fetch_long_term_history
Name for model
fetch_long_term_history
Description for model
Fetch long-term historical indicators data (1-hour candles) for Ripple. Provides tabulated history of last 5 stored calculations: RSI(14), Stochastic RSI(14), MACD(12,26,9), Signal(9), Histogram, ATR(14), ATR(20), SMA(50), EMA(20), EMA(34), DEMA(21), WMA(20), Momentum(10), Stochastic K/D(14,3,3), ADX(14), +DI(14), -DI(14), CCI(20), Bollinger Bands (Upper/Middle/Lower/Width), Current Price, Support/Resistance Levels, Volume Trend, Body Size, Close Price. Each row represents long-term calculations from different timestamps with 48-hour lookback periods for comprehensive trend analysis and pattern recognition. Essential for long-term scalping context, analyzing major trend shifts over extended periods, detecting significant indicator convergence/divergence, and confirming long-term directional bias.
Parameters for model
Empty parameters
12. fetch_short_term_history
Name for model
fetch_short_term_history
Description for model
Fetch short-term historical indicators data (15-minute candles) for Ripple. Provides tabulated history of last 20 stored calculations: RSI(9), Stochastic RSI(9), MACD(8,21,5), Signal(5), Histogram, ATR(9), SMA(50), EMA(8), EMA(21), DEMA(21), WMA(20), Momentum(8), Stochastic K/D(5,3,3), CCI(14), ADX(14), +DI(14), -DI(14), Bollinger Bands (Upper/Middle/Lower/Width), Current Price, Support/Resistance Levels, Volume Trend, Body Size, Close Price. Each row represents calculations from different timestamps with lookback periods: 36 hours for most indicators, 12 hours for support/resistance, 2 hours for volume trend analysis. Optimized for rapid scalping with 5-minute history updates. Essential for analyzing indicator trends, detecting convergence/divergence patterns, momentum shifts, and confirming short-term directional changes.
Parameters for model
Empty parameters
13. fetch_swing_term_history
Name for model
fetch_swing_term_history
Description for model
Fetch swing-term historical indicators data (30-minute candles) for Ripple. Provides tabulated history of last 10 stored calculations: RSI(14), Stochastic RSI(14), MACD(12,26,9), Signal(9), Histogram, ATR(14), SMA(20), EMA(13), EMA(34), DEMA(21), WMA(20), Momentum(8), Stochastic K/D(14,3,3), ADX(14), +DI(14), -DI(14), CCI(20), Bollinger Bands (Upper/Middle/Lower/Width), Current Price, Support/Resistance Levels, Volume Trend, Body Size, Close Price. Each row represents swing calculations from different timestamps with 48-hour lookback periods for comprehensive swing scalping analysis and pattern recognition. Essential for swing scalping context, analyzing medium-term patterns, volatility trends over multiple timeframes, detecting convergence/divergence signals, and confirming swing-level directional changes.
Parameters for model
Empty parameters
14. fetch_hour_candle_history
Name for model
fetch_hour_candle_history
Description for model
Fetch raw 1-hour candle OHLCV data (last 6 candles) for Ripple. Provides detailed candle analysis: Open/High/Low/Close prices, Volume, 1-hour Volatility percentage ((High-Low)/Close*100), Body Size percentage (candle body relative to total range), and Candle Type classification (Bullish/Bearish/Doji). Each candle includes timestamp, formatted prices/volumes, and comprehensive volatility metrics for hourly trend analysis and major momentum identification. Essential for long-term scalping context, understanding recent hourly price action, major trend shifts, and identifying significant candle pattern formations for position timing.
Parameters for model
Empty parameters
15. fetch_micro_term_history
Name for model
fetch_micro_term_history
Description for model
Fetch MicroTerm historical indicators data (1-minute candles) for Ripple. Provides tabulated history of last 30 stored calculations (1 hour of 2-minute snapshots): RSI(9,14), Stochastic RSI(9,14), MACD(8,21,5), Signal(5), Histogram, Bollinger Bands (Upper/Middle/Lower/Width/Position), Stochastic K/D(3,3,3) and (5,3,3), ADX(9), +DI(9), -DI(9). Includes ATR(5,9), CCI(9), Momentum(5,10), ultra-fast moving averages EMA(3,8,13,21), SMA(8), DEMA(8), WMA(5), volume SMA(5), ratio, trend, price changes, volatility, true range, support/resistance levels, current price, timestamp. Each row represents ultra-fast calculations from different 2-minute intervals. TTL: 2 minutes for rapid updates. CRITICAL for analyzing rapid indicator trends, detecting micro-convergence/divergence patterns, confirming momentum micro-shifts, and validating ultra-short directional changes.
Parameters for model
Empty parameters
16. fetch_thirty_minute_candle_history
Name for model
fetch_thirty_minute_candle_history
Description for model
Fetch raw 30-minute candle OHLCV data (last 6 candles) for Ripple. Provides detailed candle analysis: Open/High/Low/Close prices, Volume, 30-minute Volatility percentage ((High-Low)/Close*100), Body Size percentage (candle body relative to total range), and Candle Type classification (Bullish/Bearish/Doji). Each candle includes timestamp, formatted prices/volumes, and comprehensive volatility metrics for swing scalping analysis and pattern recognition. Optimal for analyzing recent swing movements, 30-minute price patterns, medium-term momentum shifts, and bridging short-term signals with long-term trends for swing scalping decisions.
Parameters for model
Empty parameters
17. fetch_fifteen_minute_candle_history
Name for model
fetch_fifteen_minute_candle_history
Description for model
Fetch raw 15-minute candle OHLCV data (last 8 candles) for Ripple. Provides detailed candle analysis: Open/High/Low/Close prices, Volume, 15-minute Volatility percentage ((High-Low)/Close*100), Body Size percentage (candle body relative to total range), Candle Type classification (Bullish/Bearish/Doji), and High-Volatility detection (>1.5x average volatility). Each candle includes timestamp, formatted prices/volumes, and advanced volatility metrics with HIGH-VOLATILITY flagging for exceptional movements exceeding normal thresholds. Critical for scalping analysis, rapid 15-minute price movements identification, momentum shifts detection, and spotting high-volatility breakout periods for quick entry/exit decisions.
Parameters for model
Empty parameters
18. fetch_one_minute_candle_history
Name for model
fetch_one_minute_candle_history
Description for model
Fetch raw 1-minute candle OHLCV data (last 15 candles) for Ripple. Provides detailed candle analysis: Open/High/Low/Close prices, Volume, 1-minute Volatility percentage ((High-Low)/Close*100), Body Size percentage (candle body relative to total range), and Candle Type classification (Bullish/Bearish/Doji). Each candle includes timestamp, formatted prices/volumes, and volatility metrics for ultra-granular market analysis and immediate momentum detection. Essential for ultra-precise scalping timing, immediate market reactions analysis, minute-by-minute price action monitoring, and detecting rapid momentum shifts for quick entry/exit decisions.
Parameters for model
Empty parameters
19. navigate_to_triage_tool
Name for model
navigate_to_triage_tool
Description for model
Переключиться на агента Triage для вопросов не по теме Если ты выбрал этот инструмент, не вызывай другие ВАЖНО! Вызывая этот инструмент не отвечай на вопрос пользователя
Parameters for model
Empty parameters
Used callbacks
onToolError