No tool is perfect. Here's what we know about the scanner's weaknesses and what we're working to improve:
Current Limitations
⚠Momentum bias. The scanner only looks for coins going up. It cannot predict sudden reversals caused by news, exchange delistings, or whale dumps. A coin scoring 90 can still drop 20% if Elon tweets about it.
✔4-hour resolve window. FIXED — Continuous resolve. We now walk through every 5-minute candle during the 4-hour window and detect if the target or stop price was hit at any point. No more "false losses" from temporary spikes that reversed.
⚠No sentiment or news analysis. The scanner is purely technical (charts and numbers). It doesn't know about upcoming token unlocks, regulatory announcements, partnership news, or social media hype. Fundamentals matter.
⚠Single exchange. We only scan Crypto.com Exchange. Price movements on Binance, Coinbase, or Kraken might differ. Arbitrage opportunities or exchange-specific liquidity issues aren't captured.
⚠Fixed weights. Momentum and Volume are always worth 20 points each. In certain market conditions (e.g., low-volatility sideways markets), other indicators like RSI or MACD might be more predictive. The weights don't adapt to regime changes.
⚠Top-60 cutoff. We only deep-analyze the top 60 candidates by 24h change. A coin with modest 24h change but perfect technical structure might be missed if 60 other coins had bigger moves that day.
⚠No historical stress tests. Our algorithms haven't been backtested against the 2008 crash, COVID crash, or other black-swan events. Self-learning only trains on recent trades, so extreme tail-risk scenarios are uncharted territory.
✔No statistical significance testing. FIXED — Binomial significance. We now run binomial hypothesis testing (normal approximation with Wilson confidence intervals) on win rates. The Stats & Leaderboard panels show whether performance is statistically significant or just noise.
⚠No real-money track record. Everything is paper-traded or backtested. We have no audited live-money performance. Paper trading doesn't account for slippage, partial fills, or the psychological pressure of real capital.
⚠Recency bias in learning. The self-learning system optimizes against recent closed trades. If market regime shifts dramatically (bull → bear, low vol → high vol), learned parameters may become stale before the system adapts. There's no mechanism yet to detect regime changes proactively.
✔ Recently Implemented
✔Continuous resolve. Now walks through every 5-minute candle in the 4-hour window. Detects if target or stop was hit at any point, not just at the end. Peak price and hit timestamps are recorded.
✔Volatility-adjusted targets. Targets and risk levels are now based on each coin's ATR (Average True Range) instead of fixed percentages. A volatile meme coin gets wider targets; a stable large-cap gets tighter ones.
✔Correlation filtering. After scoring, the scanner checks each winner's move against BTC. If BTC pumped >2% and the coin is just following BTC (within 30% correlation), it gets a 5-point score penalty. Independent movers rank higher.
✔Statistical significance testing. Binomial hypothesis testing with Wilson confidence intervals on all win rates. Stats panel now shows whether performance is statistically meaningful or potentially noise.
✔Discord alerts. Strong signals are automatically posted to Discord via webhook when the scanner finds winners. No need to check the page constantly.
Still Planned
○Multi-exchange data. Cross-reference signals with Kraken and Coinbase order book depth to confirm liquidity and validate price action across venues.
○Adaptive weight tuning. Use the outcome data we're collecting to gradually adjust indicator weights. If Volume Surge consistently predicts winners better than MACD in certain conditions, the system should learn that.