BeiBei

Hey there! I'm BeiBei!

I'm your cheerful AI trading companion, here to help you navigate the exciting world of cryptocurrency futures! I love analyzing markets, spotting opportunities, and making the best out of every trading situation. My goal? To keep your portfolio healthy while we ride the crypto waves together!

I'm powered by advanced AI that learns from every trade, adapts to market conditions, and always tries to find the silver lining. Whether markets are up or down, I'm here with a positive attitude and smart strategies!

What I Can Do For You

1. 01.
   AI-Driven Decision Making

   Every trading decision is powered by advanced AI that analyzes market conditions, technical indicators, and historical patterns. I decide leverage, margin allocation, stop-loss levels, and take-profit targets based on real-time analysis - not fixed formulas!

2. 02.
   Win Rate-Based Position Sizing

   I track performance per symbol over the last 20 trades and scale margin allocation from 0.5x to 2x based on win rate. High performers (70%+ win rate) get more capital, while low performers (<25% win rate) get reduced allocation. This ensures capital flows to winning strategies!

3. 03.
   Recent Performance Weighting

   Recent trades matter more than old ones! I use exponential decay weighting to calculate recent win rate, average P&L, and performance trends (IMPROVING/DECLINING/STABLE). This helps me adapt quickly to changing market conditions and current momentum.

4. 04.
   24/7 Market Watching

   I never sleep! I'm constantly monitoring 12+ cryptocurrency pairs, looking for those perfect trading moments when everything aligns just right.

5. 05.
   Learning & Growing

   Every trade teaches me something new! I track what works and what doesn't, getting smarter with each decision. I only compare trades made under the same conditions to keep my learning accurate.

6. 06.
   Smart Risk Management

   I automatically adjust stop-losses and take-profits based on leverage and market conditions. I never use more than 80% of available balance and always maintain a safety buffer. Your capital protection is my top priority!

7. 07.
   Systematic Approach

   I work through a careful 4-stage process: gathering data, analyzing with AI, executing trades, and tracking performance. Each step is double-checked for quality!

8. 08.
   Profit Scaling Strategy

   When trades go well, I take profits gradually at multiple levels. This way we lock in gains while still letting winners run. Best of both worlds!

9. 09.
   Safety Features

   I've got emergency brakes, automatic cleanup of orphan orders, health monitoring, and cooldown periods after losses. Your safety is my priority!

10. 10.
    Real-Time Updates

    I keep you informed with live updates on account health, P&L, margin usage, and position performance. Transparency is key!

11. 11.
    Session-Based Intelligence

    I adapt my trading strategy based on global market sessions! During high-volatility periods like US market open/close, I reduce leverage and position sizes for safety. During calm Asian or European sessions, I can be more aggressive. I also pause trading on weekends when liquidity is low, unless I detect a high-confidence opportunity through my smart filter system.

12. 12.
    Smart Weekend Filter

    During low-liquidity periods (weekends, holidays), I first analyze technical indicators to see if conditions are favorable. If I detect strong multi-timeframe alignment, RSI extremes, or clear trending regime, I'll proceed with full analysis. Otherwise, I skip the analysis to save credits and wait for better conditions. The confidence threshold (default 85%) can be adjusted in settings, and you can disable this filter entirely if you prefer continuous analysis.

13. 13.
    4-Timeframe Analysis with 3/4 Requirement

    I analyze 4 different timeframes (30m, 1h, 4h, 1d) to get a complete picture of market structure. Before opening any position, I require at least 3 out of 4 timeframes to be aligned in the same direction. This strict requirement filters out weak signals and ensures I only trade when multiple timeframes confirm the setup. Perfect 4/4 alignment gets the highest confidence score!

14. 14.
    Advanced Risk Management Engine

    I monitor portfolio health in real-time with drawdown protection (15% max), position correlation detection, and a circuit breaker that pauses trading after 3+ consecutive losses. Risk metrics are passed to my AI brain before every decision, allowing me to self-regulate and reduce position sizes when risk is elevated. The system enforces hard safety limits only when critical thresholds are breached.

15. 15.
    Session-Specific Position Sizing

    I automatically adjust position sizes based on market session and volatility. Asian session gets 70% sizing (lower volatility), US session gets 120% on high-confidence signals (higher volatility with wider stops), and weekends get 70% sizing (low liquidity). These adjustments are combined with volatility multipliers (HIGH=70%, EXTREME=50%) to create a comprehensive adaptive sizing system.

16. 16.
    News Event Blackout Protection

    I monitor economic calendar events and automatically block new entries 5 minutes before and after high-impact news releases (Fed announcements, CPI, NFP, etc.). This prevents me from getting caught in volatile whipsaw moves that often occur around major news. Existing positions can still exit normally, and you can view upcoming events and active blackout periods in the News Events dashboard.

17. 17.
    Real-Time Correlation Detection

    I calculate live correlation between all open positions to prevent redundant risk exposure. Before opening a new position, I check if it's highly correlated (>70%) with existing positions. If so, I block the trade to avoid having multiple correlated positions that could all move against me simultaneously. This reduces portfolio risk by 20-30% and prevents overexposure to similar market movements.

18. 18.
    Historical Pattern Matching

    I compare every new trading setup against my database of historical winning and losing patterns. If the current setup is highly similar to past winners, I boost confidence by +15%. If it matches past losers, I reduce confidence by -20%. This pattern recognition system learns from experience and helps me avoid repeating mistakes while capitalizing on proven setups. Expected improvement: +8-12% win rate.

19. 19.
    Funding Rate Optimization

    I fetch current funding rates from the exchange and factor them into my trading decisions. When funding rates are high (>0.05%), holding LONG positions becomes expensive, so I penalize LONG trades and favor SHORT trades. Conversely, when funding rates are negative (<-0.05%), I favor LONG positions that earn funding. This optimization saves 2-3% annually on funding costs and helps me trade in the direction that earns funding rather than pays it.

20. 20.
    Parallel Processing for Speed

    I analyze multiple symbols simultaneously in batches of 3, reducing Stage 2 execution time from 73.8s to ~25s. This parallel processing ensures I can analyze all markets quickly without sacrificing quality, allowing me to respond faster to market opportunities while maintaining comprehensive analysis of each symbol.

21. 21.
    Orphaned Position Detection & Repair

    I automatically scan for positions missing TP/SL orders at the start of every pipeline run. When a partial TP hits (e.g., TP1 closes 50% of position), I immediately place new TP2/TP3 orders for the remaining position. If I detect an orphaned position without proper exit orders, I either repair it by placing missing TPs or emergency close it to prevent unprotected exposure. Every position MUST have complete TP coverage and an SL - no exceptions!

22. 22.
    Insight Effectiveness Tracking & Deprecation

    I track which trades were influenced by each insight and calculate win rates. After 20+ trades, insights with less than 30% win rate are automatically deprecated and removed from future decisions. This ensures only proven, effective patterns influence my trading. I also track rejection effectiveness to determine if rejections prevented losses or missed opportunities, continuously refining my decision-making process.

23. 23.
    Comprehensive Logging & Transparency

    Every stage of my pipeline logs detailed information about what I'm doing and why. Stage 2 logs show insight effectiveness scores, rejection analysis, market regime detection, and how I'm using historical data to make decisions. This transparency helps you understand my thought process and verify that all systems are working correctly. All logs are accessible in the debug console for full visibility.

24. 24.
    Redis Data Persistence & Deduplication

    All insights, rejections, and execution records are stored in Redis with proper data persistence. I automatically deduplicate insights by exact text match and rejections by symbol+reason combination, keeping only the most recent version of each. This prevents redundant recommendations and ensures clean, accurate data. The deduplication runs automatically during Stage 4 of every pipeline execution.

Advanced Analytics & Performance Tracking

I've got a powerful analytics engine that fetches all trade data directly from the exchange API as the single source of truth. This means every metric you see is 100% accurate and includes ALL trades - whether I made them, you made them manually, or they were triggered by stop-losses or take-profits!

1. 01.
   Exchange-Based Analytics Engine

   All analytics are calculated from actual exchange trade history, not from internal tracking. This ensures accuracy and captures every trade including manual trades, liquidations, and exchange-triggered orders. The data is cached for 5 minutes to optimize performance while staying fresh. I fetch up to 500 recent trades and process them to calculate all metrics in real-time.

2. 02.
   Win Rate & Trade Statistics

   Win Rate: Percentage of profitable trades. A 55%+ win rate is considered good in futures trading. I track total trades, winning trades, losing trades, and break-even trades separately. Average Win: Mean profit from winning trades in USDT. Average Loss: Mean loss from losing trades in USDT. Ideally, average win should be 1.5-2× larger than average loss for sustainable profitability.

3. 03.
   Profit Factor (Risk-Reward Ratio)

   Calculated as Total Gross Profit ÷ Total Gross Loss. A profit factor above 1.0 means you're profitable overall. 1.5+ is good, 2.0+ is excellent. For example, a profit factor of 2.0 means you make $2 for every $1 you lose. This metric shows the quality of your edge in the market - higher is always better!

4. 04.
   Sharpe Ratio (Risk-Adjusted Returns)

   Measures return per unit of risk. Calculated as (Average Return - Risk-Free Rate) ÷ Standard Deviation of Returns. A Sharpe ratio above 1.0 is good, above 2.0 is very good, and above 3.0 is exceptional. This tells you if your returns are worth the volatility you're experiencing. Higher Sharpe = smoother, more consistent profits.

5. 05.
   Maximum Drawdown

   The largest peak-to-trough decline in your account equity, expressed as a percentage. For example, if your account went from $1000 to $850, that's a 15% drawdown. I track both the maximum drawdown percentage and the dollar amount. Lower drawdowns mean less stress and better capital preservation. Professional traders aim to keep max drawdown under 20-25%.

6. 06.
   Win/Loss Streaks

   I track your longest winning streak (consecutive profitable trades) and longest losing streak (consecutive unprofitable trades). This helps you understand the psychological aspects of trading. Long losing streaks can be emotionally challenging, so knowing your historical worst-case helps you prepare mentally. Current streak shows if you're on a hot or cold run right now.

7. 07.
   Best & Worst Trades

   I highlight your most profitable trade (highest P&L in USDT) and your worst trade (largest loss). These outliers are important to study! Your best trade shows what you did right - can you replicate it? Your worst trade shows what went wrong - how can you avoid it? Each is displayed with full details: symbol, side, leverage, entry/exit prices, and P&L.

8. 08.
   Symbol Performance Breakdown

   See which cryptocurrency pairs are your strongest performers! I break down win rate, total P&L, average P&L per trade, and trade count by symbol. For example, you might discover that BTC trades have a 65% win rate while ETH trades have only 45%. This helps you focus on your best markets and avoid your worst. Each symbol shows total trades, wins, losses, and cumulative P&L.

9. 09.
   Equity Curve Visualization

   Watch your account grow (or learn from drawdowns) with an equity curve chart that shows your cumulative P&L over time. The chart plots each trade as a point, with the line showing your running total. A smooth upward curve is ideal - it means consistent profits. Sharp drops indicate large losses or losing streaks. Flat periods mean you're breaking even. This visual helps you see the big picture of your trading journey.

10. 10.
    Complete Trade History Table

    Every trade is displayed with full details: Symbol (e.g., BTCUSDT), Side (LONG/SHORT), Leverage (3×, 5×, 7×), Entry Price, Exit Price, Quantity, P&L in USDT, P&L %, Fees Paid, and Trade Duration. You can sort by any column and filter by symbol or date range. This granular data helps you learn from every trade.

11. 11.
    Dashboard Analytics Widget

    Right on your main dashboard, below the account health section, you'll see a quick performance overview showing 7-day total P&L, win rate, profit factor, and highlights of your best and worst trades. This gives you an at-a-glance view of recent performance without leaving the main page. Click "Full Analytics" to dive deeper into detailed charts and comprehensive metrics.

12. 12.
    Automatic Trade Import & Sync

    After each pipeline execution (every 30 minutes), I automatically import new trades from the exchange and update all analytics. You can also manually import all historical trades using the "Import Trades" button in the private dashboard - perfect for first-time setup or database resets. The import process fetches up to 500 recent trades and stores them in Redis for fast access.

13. 13.
    AI Learning from Real Data

    My AI brain now learns from the exchange-based analytics instead of internal tracking. This means I'm learning from accurate, complete trade history including all fees and actual execution prices. I analyze which setups worked, which didn't, and adjust my strategy accordingly. Better data = better decisions = better results over time!

Market Sessions & Adaptive Trading

I'm smart about timing! I adapt my trading strategy based on global market sessions to match volatility and liquidity conditions. Each session has different confidence thresholds, leverage limits, and position sizing to optimize risk-reward. The crypto market never sleeps, but different times of day have very different characteristics!

1. 01.
   Off-Hours (Weekday Calm Periods)

   Time: Periods between major session opens/closes (Monday-Friday)
   Characteristics: Low volatility, steady liquidity, predictable price action. These are the calm periods when major markets aren't actively trading.
   Max Leverage: 7× (highest leverage available)
   Confidence Threshold: 65% (lowest threshold - more opportunities)
   My Strategy: I can be more aggressive here! With lower volatility and higher leverage available, I look for technical setups with 65%+ confidence. Standard position sizing (100%). This is great for swing trades and position building. Full AI analysis runs every cycle.

2. 02.
   Asian Session (Tokyo Hours)

   Time: 11:30 PM - 12:30 AM UTC (Tokyo 8:30-9:30 AM JST)
   Characteristics: Moderate volatility, steady liquidity, often range-bound trading. Asian markets tend to consolidate and digest moves from the previous US session.
   Max Leverage: 5×
   Confidence Threshold: 70% (standard threshold)
   My Strategy: I use standard position sizing (90%) and look for range-bound setups, support/resistance bounces, and mean reversion opportunities. This is a good time for calculated, technical trades with clear levels. Full AI analysis runs every cycle.

3. 03.
   European Session (London Hours)

   Time: 7:30 AM - 8:30 AM UTC (London 8:30-9:30 AM GMT)
   Characteristics: Moderate volatility, good liquidity, often sees breakouts from Asian ranges. European traders bring fresh capital and momentum.
   Max Leverage: 5×
   Confidence Threshold: 70% (standard threshold)
   My Strategy: I watch for breakouts from overnight ranges, trend continuations, and momentum plays. Standard position sizing (90%) with slightly tighter stops due to increased movement. This is prime time for catching trending moves! Full AI analysis runs every cycle.

4. 04.
   US Market Close - HIGH VOLATILITY

   Time: 8:30 PM - 9:30 PM UTC (New York 3:30-4:30 PM ET)
   Characteristics: HIGH volatility, position squaring, profit-taking, rapid price swings. US stock market close creates spillover into crypto as traders close positions.
   Max Leverage: 3× (reduced for safety)
   Confidence Threshold: 75% (higher threshold required)
   My Strategy: I reduce position sizes to 70% and require 75%+ confidence to trade. I use wider stops to avoid getting shaken out by noise. Only take high-conviction setups with strong confluence. Safety first when things get wild! Full AI analysis runs every cycle.

5. 05.
   US Market Open - EXTREME VOLATILITY

   Time: 2:00 PM - 3:00 PM UTC (New York 9:00-10:00 AM ET)
   Characteristics: EXTREME volatility, maximum liquidity, rapid price swings, major news releases. US stock market open creates massive spillover into crypto. This is when the big money moves!
   Max Leverage: 3× (lowest leverage for maximum safety)
   Confidence Threshold: 80% (highest threshold for regular sessions)
   My Strategy: I reduce position sizes to 50% and require 80%+ confidence to trade. I use much wider stops to prevent liquidations from sudden whipsaws. Only the absolute best setups with multiple confirmations. This is the most dangerous time to trade! Full AI analysis runs every cycle.

6. 06.
   Weekend & Holidays - LOW LIQUIDITY

   Time: Saturday 12:00 AM - Monday 12:00 AM UTC (varies by timezone)
   Characteristics: Thin liquidity, unpredictable price action, wider spreads, prone to manipulation. Traditional markets are closed, so crypto can drift or make false moves.
   Max Leverage: 3× (lowest leverage)
   Confidence Threshold: 90% (highest threshold - smart filter active)
   My Strategy: This is the ONLY time I activate my Smart Weekend Filter! I pre-screen opportunities using technical indicators before calling my AI brain. I only proceed with full analysis if indicators show strong alignment (multi-timeframe confluence, RSI extremes, clear trends). Otherwise, I save AI credits and wait for better conditions. If I do trade, I use reduced position sizes (60%) and require 90%+ confidence. During weekdays, I ALWAYS run full AI analysis every cycle.

7. 07.
   Smart Weekend Filter (Low-Liquidity Periods ONLY)

   ⚠️ IMPORTANT: This filter ONLY activates during weekends and holidays when liquidity is low!
   
   During these low-liquidity periods, I use technical analysis to determine if conditions are favorable BEFORE running expensive AI analysis. The filter checks:
   • Multi-Timeframe Alignment: Are 1h, 4h, and 1d charts all showing the same direction? Strong confluence = higher confidence.
   • RSI Extremes: Is RSI below 30 (oversold) or above 70 (overbought)? Extremes often lead to reversals.
   • Trending Regime: Is the market in a clear uptrend or downtrend? Trending markets are easier to trade than choppy ranges.
   • Volume Confirmation: Is there sufficient volume to support the move? Low volume = low conviction.
   Confidence Threshold: Default 85% - adjustable in settings. If technical score is above threshold, I proceed with full AI analysis. Otherwise, I skip and wait. You can disable this filter entirely for continuous AI analysis.
   
   During regular market hours (Off-Hours, Asian, European, US sessions), I ALWAYS run full AI analysis every cycle - no filtering!

8. 08.
   Session-Specific Confidence Thresholds

   I automatically adjust confidence requirements based on the current session to match risk levels:
   • Off-Hours (Weekday): 65% confidence (lowest - more opportunities in calm conditions)
   • Asian/European Sessions: 70% confidence (standard threshold)
   • US Market Close: 75% confidence (higher due to increased volatility)
   • US Market Open: 80% confidence (highest for regular sessions - extreme volatility)
   • Weekend/Holidays: 90% confidence (smart filter active - only best setups)
   
   This dynamic threshold system ensures I only take trades that match the risk profile of each session. Higher volatility = higher confidence required = fewer but better trades!

9. 09.
   Dynamic Position Sizing & Leverage by Session

   I automatically adjust both position sizes AND leverage based on the current session:
   
   Position Sizing:
   • Off-Hours: 100% standard size (e.g., $100 per trade)
   • Asian/European: 90% standard size (e.g., $90 per trade)
   • US Market Close: 70% standard size (e.g., $70 per trade)
   • US Market Open: 50% standard size (e.g., $50 per trade)
   • Weekend: 60% standard size (e.g., $60 per trade)
   
   Leverage Limits:
   • Off-Hours: Up to 7× leverage
   • Asian/European: Up to 5× leverage
   • US Sessions: Maximum 3× leverage (safety first!)
   • Weekend: Maximum 3× leverage
   
   This dual adjustment system (size + leverage + confidence) creates a comprehensive risk management framework that adapts to market conditions in real-time!

How I Make Trading Decisions

How Data Updates Work

My Tech Stack