CryptoCrispy – Quarterly Performance Analysis
Period covered: 28 Feb 2025 ➜ 29 May 2025 • Report generated 30 May 2025
Executive Summary
Over the last three months our AI assistant analysed 550 predictions across 11 coins, delivering an average accuracy of 92 % and an average ROI of 7.03 %. The best-performing asset during the period was PI.
Total Predictions Analysed
550
Coins Analysed
11
Average Accuracy
92 %
Average ROI
7.03 %
Key Highlights
- Steady accuracy above the long-term 90 % benchmark across most assets.
- Risk-adjusted returns remained favourable, driven by disciplined exit criteria.
- Sharpe ratio outliers reflect zero risk-free assumptions; focus on relative ROI instead.
ROI vs Risk Appetite
Methodology Snapshot
Statistics are based on trade-by-trade back-testing using a documented pipeline. ROI figures are net of exchange fees; accuracy measures directional correctness. Sharpe ratios employ a 0 % risk-free rate for consistency across pairs. Full JSON output is available for audit and further analysis.
Market terms used here
CryptoCrispy reports score cryptocurrency trading signals on USDT spot pairs — Bitcoin (BTC), Ethereum (ETH), and altcoins such as SOL, XRP, BNB, and RENDER. Published Telegram buy/sell alerts are counted separately from in-app AI Assistant suggestions.
- Take-profit (TP1–TP5) — staged profit targets on a long or short. A target hit counts only after the signal is decided.
- Stop-loss (SL) — risk exit. A stop is a loss, not a timeout.
- Hit rate / TP vs SL — wins among decided signals. Open or no-result (NR) rows are not wins.
- AI Assistant — in-app long/short suggestions. Modes: default mix, technical analysis, social sentiment, and AI/on-chain data.
- Telegram Official Signals — published channel alerts, often a rolling last-40 window.
- Core vs tactical — investor-book split: persistent hold versus a smaller rotating sleeve.
- ROI — return after pairing BUY then SELL on the same symbol, fees subtracted, on trading pages.
- Risk appetite — separate risk modes; the headline is sample-weighted, not the best bucket.
See how these numbers are counted and the crypto trading reports library.