How Our Predictions Work
Every prediction goes through four stages before it reaches you. Here is exactly what happens behind the scenes.
Live Market Data Collection
Everything starts with real data. Every five minutes, our system pulls live price data, trading volume, market capitalization, and order book depth for every coin we cover from the CoinMarketCap API. We also collect the Fear and Greed Index, which measures the overall emotional state of the crypto market on a scale from zero to one hundred.
We track on-chain metrics including active wallet addresses, transaction volumes, whale movements, and exchange inflows and outflows. When large amounts of a coin move onto exchanges, that often signals selling pressure ahead. When coins move off exchanges into cold storage, it typically signals long-term holding confidence.
All of this data is cleaned, normalized, and fed into our AI model in real time. We never use delayed or stale data for our predictions. The crypto market moves fast and our data infrastructure is built to keep up.
AI Analysis and Prediction Generation
Our AI model is built on a deep learning architecture that has been trained on years of historical crypto price data combined with the market signals described above. The model has learned to identify patterns that precede significant price movements across different market conditions.
For each coin, the AI analyzes the current price relative to key technical levels, the strength of recent momentum, the relationship between price and volume, sentiment signals from social media and search trends, macroeconomic factors like interest rates and dollar strength, and correlations with Bitcoin and other leading coins.
The model then generates a price target range for the current month rather than a single price point. This is deliberate. Anyone who claims to know exactly where a coin will be on a specific date is either guessing or lying. A range is more honest and more useful for making real investment decisions.
The AI also calculates a confidence score and a risk score for each prediction. The confidence score tells you how strongly the data supports the prediction. The risk score tells you how volatile and unpredictable the coin has historically been.
Competitor Research
We believe the best predictions come from looking at multiple independent sources. After our AI generates its prediction, our system automatically researches what six other leading prediction platforms are saying about the same coin for the same time period.
We cover CoinCodex, WalletInvestor, PricePrediction.net, DigitalCoinPrice, CryptoPredictions.net, and Changelly. Each of these platforms uses different methodologies, ranging from machine learning models to technical analysis to sentiment analysis. When multiple independent systems agree on a direction, that agreement is a strong signal. When they disagree, we flag that divergence clearly.
We show you all six competitor predictions alongside our own so you can see the full picture. We also calculate an overall consensus score based on how aligned all the predictions are. A strong bullish consensus across seven different models is much more meaningful than one model saying bullish while others are neutral or bearish.
Community Validation and Voting
The final layer of our prediction process is community intelligence. After a prediction is published, our 48,000 community members can vote on whether they think the coin will go up, down, or underperform. These votes are weighted by the voter's historical accuracy on past predictions.
This community sentiment data feeds back into the prediction display as an additional signal. It also helps us identify when our AI model might be missing something that experienced human traders can see. The combination of artificial intelligence and collective human wisdom consistently outperforms either approach alone.
Community members can also post reviews, share profit and loss stories, ask questions, and provide analysis. This qualitative information gives context to the quantitative prediction data. A coin might look bullish on paper but if the community is reporting technical issues or regulatory concerns, that context is valuable.
Every prediction page shows the current community vote breakdown so you can see at a glance how the community is positioned alongside our AI prediction.
How We Measure Accuracy
We track every prediction we have ever made against the actual closing price at the end of the target month. A prediction is counted as accurate if the actual price lands within our predicted range. It is counted as close if the actual price is within 10% of our range. Anything outside that is counted as missed.
Our current accuracy rate of 94.2% means that out of every 100 predictions we have made, about 94 of them had the actual price land within or very close to our predicted range. We publish this number publicly and update it monthly because we believe in full transparency.