Model deep-dives, product news, and crypto data tutorials from the CryptoTrckr team.
Metrics That MatterWe track MAE/MAPE, direction hit-rate, and error distributions across horizons. Backtests are walk-forward with leakage checks.Sampling & LeakageTrain/valida…
Why Whale Flow?Large transactions and exchange netflows can foreshadow liquidity shifts. We transform these on-chain features into a composite signal.Key InputsWhale transfers abov…
Cryptocurrency is digital money that lives on the internet. It uses cryptography and public blockchains to verify and record transactions without a central bank. Popular examples include Bitcoin (BTC) and Ethereum (ETH).
Coins (e.g., BTC, ETH) usually run on their own blockchains and are used for payments, fees, or security. Tokens are built on another chain (e.g., ERC-20 tokens on Ethereum) and can represent utilities, governance, or assets.
A blockchain is a distributed database shared across many computers. Transactions are grouped into blocks, linked in time order, and secured with cryptography. This makes data tamper-resistant and auditable.
Common steps:
On your exchange, place a sell order for the amount you want to convert to cash, then withdraw to your bank. Check withdrawal fees, processing times, and tax rules in your country.
A wallet stores the private keys that control your crypto. Custodial wallets are managed by an exchange. Non-custodial wallets (apps or hardware) give you full control—and responsibility—over your keys.
Exchange: where you buy/sell and often keep funds (custodial). Wallet: where you hold your private keys (non-custodial) for more control and security.
Price volatility, exchange hacks, phishing, smart-contract bugs, and regulatory changes. Use 2FA, cold storage for larger balances, and never share seed phrases.
Only what you can afford to lose. Many start with a small test purchase (e.g., $20–$100) to learn how buying, selling, and transfers work.
Trading fees (maker/taker), network fees for transfers, and spread (difference between buy/sell price). Fees vary by exchange and blockchain congestion.
“On-chain” refers to data recorded directly on the blockchain—like transactions, wallet flows, and DeFi activity. It can reveal investor behavior and market regimes.
CryptoTrckr analyzes price, momentum, volatility, and on-chain signals with 12 prediction models. We visualize trends, show model confidence, and alert you when conditions change—so you avoid guesswork and act with data.
We provide a mix of baseline indicators (e.g., moving averages), pro time-series models (ARIMA, Prophet, Kalman), and elite models that blend on-chain and AI features. Each model targets different market conditions.
No. Markets are risky and unpredictable. Our models provide probabilistic guidance—not certainties. Use them alongside risk management and your own research.
A moving average smooths price noise to reveal trend direction. Crossovers (short over long) can hint at momentum shifts. CryptoTrckr includes SMA/EMA variants as fast baselines.
Volatility measures how much price moves. High volatility can create opportunity—but also larger drawdowns. Our ATR channel model adapts to volatility to spot potential breakouts.
Set price thresholds or enable model-driven signals. We notify you by email (and integrations on paid plans) when conditions you care about are met.
Your time horizon is how far ahead you plan a trade or investment (e.g., 1h, 24h, 7d). Different models perform better at different horizons; CryptoTrckr shows results per horizon.
Yes. Add coins across portfolios and exchanges. CryptoTrckr aggregates balances, shows value changes, and runs predictions per coin and per time horizon.
Consider small position sizes, stop-losses, and diversification. Avoid over-leveraging. Use data from CryptoTrckr to plan entries/exits instead of chasing hype.
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