Introduction
The following report presents an assessment of the accuracy of the signals created by our AI for the period of 25 October 2023 to 01 November 2023. The analysis focuses on the accuracy of price predictions for various cryptocurrencies, categorized by different risk appetites - Cautious, Balanced, and Adventurous. ...
Selected Cryptocurrency Performance
| Coin | Risk App | Accuracy |
|---|---|---|
| BNB | Cautious | 100.0% |
| ETH | Adventurous | 67.83% |
| SOL | Cautious | 78.57% |
| XRP | Adventurous | 78.95% |
| DOGE | Cautious | 100.0% |
| ETH | Cautious | 100.0% |
| DOT | Balanced | 77.78% |
The table above presents the performance of selected cryptocurrencies. The table below presents the performance of all cryptocurrencies.
All Cryptocurrency Performance
| Coin | Risk App | Accuracy | Attended Features |
|---|---|---|---|
| ADA | Cautious | 58.82% | Mostly attended social News features |
| ADA | Balanced | 100.0% | Mostly attended AI predictions features |
| ADA | Adventurous | 100.0% | Mostly attended AI predictions features |
| BNB | Cautious | 100.0% | Mostly attended social News features |
| BNB | Balanced | 100.0% | Mostly attended AI predictions features |
| BNB | Adventurous | 72.34% | Mostly attended AI predictions features |
| BTC | Cautious | 36.36% | Mostly attended AI predictions features |
| BTC | Balanced | 42.66% | Mostly attended AI predictions features |
| BTC | Adventurous | 41.26% | Mostly attended Technical Indicators features |
| DOGE | Cautious | 100.0% | Mostly attended On-chain features |
| DOGE | Balanced | 100.0% | Mostly attended On-chain features |
| DOGE | Adventurous | 100.0% | Mostly attended On-chain features |
| DOT | Cautious | 70.79% | Mostly attended On-chain features |
| DOT | Balanced | 77.78% | Mostly attended On-chain features |
| DOT | Adventurous | 79.12% | Mostly attended On-chain features |
| ETH | Cautious | 100.0% | Mostly attended AI predictions features |
| ETH | Balanced | 68.42% | Mostly attended social News features |
| ETH | Adventurous | 67.83% | Mostly attended AI predictions features |
| MATIC | Cautious | 67.13% | Mostly attended Technical Indicators features |
| MATIC | Balanced | 50.0% | Mostly attended On-chain features |
| MATIC | Adventurous | 50.0% | Mostly attended On-chain features |
| SOL | Cautious | 78.57% | Mostly attended social News features |
| SOL | Balanced | 67.31% | Mostly attended On-chain features |
| SOL | Adventurous | 80.0% | Mostly attended AI predictions features |
| XRP | Cautious | 57.89% | Mostly attended Technical Indicators features |
| XRP | Balanced | 62.96% | Mostly attended social News features |
| XRP | Adventurous | 78.95% | Mostly attended social News features |
Conclusion
This report provides a comprehensive overview of the accuracy of the signals created by our AI. The data presented here is based on the performance of various cryptocurrencies over the past week. It is evident that the AI Assistant has been able to provide accurate price predictions for different risk appetites, thereby proving its effectiveness and reliability.
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.