Methodology: how CryptoPulsar AI indicators and models work

Every widget and model in CryptoPulsar AI comes with a method description, the same one the "?" button opens next to the data in the app. This page collects them in one place, grouped by module.

The descriptions explain how values are computed and how to interpret them. They do not contain current readings: those live in the app, next to the data, with the time of the last update.

Market cycle

• Cycle score: A detailed table breaking the total cycle score down into individual indicators, grouped into three sections: short term, medium term and long term.
• Cycle Score (CryptoPulsar): A comprehensive picture of where the selected cryptocurrency sits in the market cycle.
• MVRV Ratio: MVRV (Z-Score) compares market value with realized value (the network's average acquisition price). It shows whether holders are collectively deep in profit or in loss.
• NVT Ratio: NVT (Network Value to Transactions) compares the network's market value with the transaction value it actually processes: this is a blockchain equivalent of the price/earnings ratio.
• RSI (Relative Strength Index): RSI (Relative Strength Index, 14) is a momentum oscillator on a 0–100 scale that measures how fast and how strongly price has risen or fallen over the recent period.
• MACD: MACD (Moving Average Convergence Divergence) shows trend momentum via the difference between two moving averages plus a histogram. It tells whether an uptrend is strengthening or fading.
• MA Cross (Moving Average Cross): A long moving-average cross (e.g. 50/200) shows the structural trend direction: a golden cross (bullish) or death cross (bearish).
• Funding Rate: The funding rate is the periodic fee between longs and shorts on perpetual futures. It shows which leveraged side pays the other, i.e. where the crowding is.
• Fear & Greed Index: The Fear & Greed Index aggregates market sentiment into a single 0–100 number: from extreme fear to extreme greed.
• BTC Dominance: The percentage share of Bitcoin, Ethereum and the remaining alts in total market cap, shown as an area chart. It tells where capital concentrates and whether BTC or alts lead the market.
• Halving (Bitcoin): Halving is the cyclical (roughly every 4 years) halving of Bitcoin's miner reward. It sets the rhythm of supply and has historically shaped the entire market-cycle structure.
• ATH (All-Time High): Distance from ATH shows how far the current price is from the all-time high; it is a measure of how far the asset is "discounted" from its record.
• Active Addresses: Active addresses count how many unique wallets actually transacted in the last 24 hours: a measure of real network usage.
• Exchange Supply %: Exchange supply shows how large a share of coins sits in exchange wallets: i.e. how much potential sell-side supply is at hand.

AI analyses

• AI analysis of a coin: A synthetic project assessment generated by CryptoPulsar algorithms: a potential and risk score (0–10), a concise summary, and lists of pros and cons. A condensed view of strengths and weaknesses in one place.
• Advanced AI Forecasts with Scenarios: Multi-scenario price forecasts generated by CryptoPulsar proprietary algorithms.
• Social sentiment: The project's social and developer reach: Twitter/X followers and posts, Reddit subscribers and activity, GitHub stars and forks, plus a combined social score. Measures attention and engagement around the project.
• Market context: Market backdrop for a single project in one panel: overall sentiment (Fear & Greed), global market-cap health, Ethereum gas fees, plus the coin's standing in volume and RSI rankings.

Derivatives

• Live Liquidations: Forced position closures (liquidations) from the futures market: a real-time stream from Binance Futures (the !forceOrder channel via our relay server), with OKX and Bybit data added on a periodic refresh.
• Liquidation Cascades: A rolled-up view of liquidations across the futures market (Binance Futures, OKX and Bybit): how much capital was force-closed in the last hour, in four hours and in a day, how it splits between longs and shorts, and whether the last hour clearly stands out from a typical hour of the day.
• Long/Short Ratio (trader positioning): The ratio of accounts holding long positions to accounts holding short positions on derivatives exchanges (Binance Futures, OKX and Bybit; global accounts, 5-minute periods) for roughly the 10 largest coins.
• Long/short ratio chart: The Long/Short ratio history (pink line, left axis) for the selected coin over a 4 h–7 d window, optionally overlaid with price (blue dashed line, right axis). The gold dashed line marks 1.0: long/short balance.
• Advanced Indicators (Funding Rate, Open Interest, futures sentiment): Professional indicators from the derivatives market show not the price itself but the positioning and bias of leveraged traders. A window into where the crowd placed its money and how leveraged it is.
• Options Market: Current state and history of the options market for major cryptocurrencies (BTC, ETH).
• Exchange Divergence (price gaps): Comparison of derivatives markets across exchanges: Binance, OKX and Bybit. It shows differences in Funding Rates and Long/Short Ratios for the same coins, highlighting local market tensions (Tension Score).
• Order Book Depth: Aggregated liquidity on the Bid and Ask sides visible in the Order Book for selected coins. The widget summarizes total depth, order imbalance in various price deviation bands, and the history of spread width.

Macro

• Macro Barometer (BTC, Gold, S&P500): A dashboard of eight key macro assets seen through a crypto investor's eyes: Bitcoin, gold, the S&P 500, Nasdaq, the CD20 index (top-20 crypto), the Dollar Index DXY, the fear gauge VIX, and the US 10-year Treasury yield.
• Correlation of Bitcoin with macro assets: A correlation matrix of Bitcoin against key macro assets (gold, S&P 500, Nasdaq, CD20 and others).
• Macro assets chart: An interactive comparison chart of eight macro assets: BTC, gold, the S&P 500, Nasdaq, CD20, DXY, VIX and US10Y.
• Altcoin season in the macro view: A market-regime indicator: ALTSEASON versus BTC Season. It compares Bitcoin's dynamics with the CD20 index (top-20 altcoins). When CD20 rises faster than BTC, capital rotates from Bitcoin into altcoins (altseason).
• AI macro commentary: An expert macroeconomic commentary generated by AI from 7-day data across all macro assets (BTC, gold, S&P 500, Nasdaq, CD20, DXY, VIX, US10Y) and their correlations.
• Market Liquidity: Two independent measures of market "dry powder". The first is total stablecoin market cap with its 7- and 30-day change: a growing supply means more cash sitting ready on the market.
• Currency & Crypto Exchange: A real-time currency and crypto exchange desk. It shows major currency rates against the dollar plus any pairs you add yourself: fiat/fiat, crypto/fiat and crypto/crypto. Every pair has a live rate and a 24h change.
• ETF Flows (spot BTC/ETH): How much money entered the exchange-traded funds for Bitcoin and Ethereum over a day, and how much left them.

Heatmap

• Crypto Heatmap: A heat map of the entire market as a treemap. Each tile's size reflects the project's market cap, and its color reflects the price change over the selected period (green = up, red = down).
• Market Dominance: How crypto market capital is distributed between Bitcoin, Ethereum and the rest.

Seasonality

• Seasonal Pattern Detector (historical tendency): Recurring, statistically significant historical tendencies in prices: day-of-week seasonality (e.g. "BTC Mondays") and conditional probability (what historically happened AFTER a given condition).
• Day of week seasonality: The average daily price change (%) for each day of the week separately over the selected window (1–3 years).
• Month by year seasonality: The month × year heat map: each cell is the total price change in that month of that year, and the summary column is the month's average across all years in the window.
• Conditional market patterns: The list of detected conditional patterns: “after a day meeting condition X, the next day was up in Y% of cases”.
• Day of week statistics: The table of numbers behind the day-of-week chart: for each day n (how many days entered the mean), the mean change %, the 95% confidence interval, the share of up days and the quality badges.
• Turn of the month effect: The turn-of-month effect: the mean change over the last and first days of the month (the turn window) versus all remaining days, with n, the 95% confidence interval, the share of up days and the quality badges.
• Weekend effect: A comparison of the weekend (Saturday+Sunday) with weekdays: mean change, 95% confidence interval, share of up days and badges for both groups, computed from the same daily series as the other models.
• Volume by day of week: Relative trading volume by day of week: each day's average volume expressed as an index where 100 = the whole-period average.
• Average path of the week: The averaged week path: a line accumulating from Monday, where each point is the sum of the mean daily changes up to and including that day. The shaded band around the line is the 95% confidence interval.

Observations

• Model forecasts: A summary of current QWave forecasts for the coins in the basket: P(up), median change and the P10-P90 band for the chosen horizon, with direction hit rate and interval coverage and their settled count below.
• Probabilistic coin forecast: The QWave forecast for this coin: 10,000 simulated price paths built from hourly history and similar market setups.
• Market regime: The character of the market for the selected coin, reduced to one of three states: uptrend, downtrend or consolidation (range-bound).
• AI Forecasts (price direction): Algorithmic directional forecasts (bullish/bearish/neutral) for top coins over the chosen horizon (24h/7d/30d), with a percentage probability. Based on RSI, momentum and volatility.

Quantum View

• Quantum View: 3D market map: A three-dimensional universe of the crypto market.
• Growth Potential (Universe): A ranking of projects by a factor-based growth potential score (0–100) built from six market dimensions: momentum, trend, capital flow, network activity, cycle phase and distance from the mean.
• Smart Lab: A single direction score for a coin, built from eight independent market features: flows to and from exchanges, liquidations, order book imbalance, whale moves, funding, open interest, price pace and supply held on exchanges.
• Satellite Radar (Lead-Lag, 1-3h lag): The satellite radar measures how a sector's satellites (smaller coins) follow its driver (the sector's largest coin) with a 1, 2 or 3 hour lag.

Trading agent

• Momentum Signals: Coins that are accelerating RIGHT NOW (not the ones with the biggest 24-hour gain).

Other methods

• AI Correlation Comments: The price correlation coefficient for crypto pairs over the last 7 days, with a short analytical comment.
• AI Correlations: The most strongly correlated coin pairs with a 7-day Pearson coefficient (from -1 to +1) and direction arrows. It shows which assets move together and which move opposite.
• AI cycle commentary: An AI expert commentary that translates the raw numbers of the CryptoCycle model into plain language.
• AI Market Alerts: A combined stream of market alerts: price spikes and drops, volume anomalies, breakouts, dominance and AI insights, sorted by priority. A notification hub for what is happening in the market now.
• AI Predictions + Voting: A ranking of projects with algorithmic price predictions and community sentiment. It blends a computed price target, the probability of reaching it, and user votes (bullish vs bearish).
• AI risk report: An automated scam-risk report for the project: a threat level, a list of red flags and a detailed AI analysis. It only appears when real risk is detected, so its very presence is a warning sign.
• Alerts (price, sector, correlations): Your configured price alerts with target, direction (above/below) and a progress bar toward the level. It shows which alerts are active and which have already triggered.
• Altseason Index: The SHARE of top-market coins that outperformed Bitcoin over the last 90 days. 100 means "every counted coin beat BTC", 0 means "none did".
• Average purchase price (DCA): A backward DCA simulator: it computes how regularly adding a fixed amount to a chosen coin from the start date to the end date (today by default) would have looked.
• BTC Whale Summary: A compact summary of whale activity for Bitcoin over the last 60 days in one card.
• Chart Comparison: A comparison of price performance for up to 5 cryptocurrencies on one chart.
• Coin comparator: A table lining up to five projects side by side across key parameters: price, changes over time, market cap, volume, supply, ATH and FDV.
• Coin correlations: How the project's price moves relative to other coins, grouped into positive, neutral and negative correlations with a coefficient from -1 to +1.
• Coin Diversification & Fit: A description of how coins behaved RELATIVE TO EACH OTHER: which pairs moved almost identically (that is, effectively duplicated the same behaviour), which moved independently, and which moved in opposite directions.
• Coin market data: A full market-data card for the project: rank and market cap, volume and its ratio to cap, supply (circulating, total, max), FDV, plus all-time highs and lows (ATH/ATL).
• Coin on-chain data: Raw on-chain data for the project broken down by chain: active addresses, 24h transaction count, holder count, token balance and the contract address. Real evidence of network usage, independent of price.
• Coin price scenarios: Speculative price-move forecasts for three horizons (24h, 7d, 30d): direction (bullish / bearish / neutral), signal strength in percent, the predicted price range, plus the indicators used and the reasoning.
• Community (Score): The community score measures the size and activity of a project's community, that is followers, discussions and channel engagement.
• Crypto sector metrics: Grouped on-chain, exchange-flow, infrastructure, DeFi, social and developer metrics for a given project category. It lets you judge fundamentals depending on the coin type (L1, L2, DeFi, meme, etc.).
• Day Start (morning market radar): A short, descriptive crypto market digest to start the day: what happened overnight with BTC and ETH, how dominance looks, sentiment (Fear & Greed) and the macro backdrop.
• Day Summary: A concise, descriptive recap of the crypto trading day: how BTC and ETH ended the day, what the volume, dominance and sentiment looked like. A close-of-day context, not a buy/sell signal.
• DeFi (Decentralized Finance): DeFi dominance shows the decentralized-finance sector's share of the market, which means a measure of risk appetite and capital rotation toward DeFi protocols.
• Developer Activity: Developer activity measures real work on the project: commits, updates and developer engagement in the code repositories.
• DEX volume breakdown: Decentralized exchange (DEX) trading volume over the last 24h, broken down by protocol (Uniswap, PancakeSwap, Curve and others). It shows total turnover, the number of trades and each DEX share.
• DXY (US Dollar Index): DXY (the dollar index) measures the strength of the US dollar against a basket of currencies. It is a key macro context: crypto has historically moved inversely to the dollar.
• EMA (Exponential Moving Average): The EMA 9/21 cross compares two fast exponential moving averages to capture the direction of the short-term price trend.
• ETH Gas Tracker: The current cost of sending a transaction on Ethereum, in Gwei. It shows three priority tiers (Low, Average, High) plus the protocol base fee.
• Exchange Flow: Exchange netflow shows the difference between coins flowing into exchanges and out of them, meaning the balance of supply and demand pressure.
• Exchange net flow: The balance of ETH flowing onto and off exchanges (multichain): how much enters exchanges (inflow), how much leaves (outflow) and the net difference.
• Fed Funds Rate: The Fed funds rate (US Federal Reserve) sets the cost of money in the economy. It is a macro foundation, which affects the liquidity available to risk assets.
• Global Stats: The health of the entire crypto market in one place: how much capital is at play, how intense the trading is, and who dominates (Bitcoin vs Ethereum vs the rest).
• Holder concentration: How concentrated the token supply is among the largest addresses: the share of the top three holders plus a list of tracked wallets with their percentage and balance size.
• Liquidity Pressure (sector accumulation/dump): A scoring layer over raw market data that, for each sector, measures capital pressure (accumulation vs distribution), how safe it is to exit, and a directional probability of a move over the next 1–3h with a confidence level.
• Live price chart: A live interactive candlestick chart for the project (TradingView) paired against USDT. Lets you watch price action across intervals and read candle patterns and technical levels.
• Live Ticker (real-time prices): A ticker of prices and 24h changes for key coins, updated live via WebSocket (with a 10s REST fallback). It gives an instant view of what is rising and falling in real time.
• Live whale transfers: A near-real-time stream of the largest whale transfers (cross-chain, above 100 ETH, from the last hour).
• Logarithmic price chart: A long-term price chart on a logarithmic scale with Bitcoin halvings marked.
• Market Capitalization: The global market-cap change shows how the total value of the whole crypto market is growing or shrinking, serving as a measure of capital inflow or outflow.
• MEV risk score: An MEV (Maximal Extractable Value) risk score for the network on a 0–100 scale with a tier (Low/Medium/High).
• Momentum: Price momentum measures the pace and strength of price change over time, indicating whether a move is accelerating or losing energy.
• Monte Carlo portfolio illustration: A Monte Carlo simulation: thousands of random portfolio value paths based on its historical mean (drift) and volatility. The fan shows a RANGE of possible outcomes, not one predicted scenario.
• Network status: Near-real-time status of the most important chains: Bitcoin block height with the last 24h transaction count, plus the XRP ledger height.
• NUPL (Net Unrealized Profit/Loss): NUPL (Net Unrealized Profit/Loss) shows how large an unrealized profit or loss the whole market holds relative to coins' acquisition price.
• On-Chain Analytics: Raw on-chain data for selected projects: how many real token holders there are, how many transactions passed through the network in 24h, which chain the token lives on, and whether its contract is publicly verified.
• On-chain whale activity: TOP 20 largest ETH transfers (Coinpath) from the last 24 hours, sorted by amount descending: for each move the amount, the time, and the source and destination address with labels and category.
• Passive portfolio: A condensed view of your portfolio: total value, percentage result, 24h change, number of positions, plus the best and worst position. It is an analytical tool to track performance, not investment advice.
• Popular Projects with AI: A grid of featured crypto projects with logo, price and 24h change. A quick overview of the key coins tracked by the platform, each linking to full analysis.
• Portfolio beta: How strongly the portfolio's value moved relative to Bitcoin. Around 1.0 = moves similar to BTC; above 1 = larger swings than BTC; below 1 = milder. A measure of historical co-movement, not a hint.
• Portfolio concentration: How much the portfolio relies on a single position. The main number is the largest position's share; HHI (0–1) summarizes dispersion. A structural measure, not a judgement.
• Portfolio correlation matrix: A correlation matrix of your positions' daily returns. Each cell shows how two coins moved together: +1 = same direction, 0 = independent, −1 = opposite. It shows whether your diversification is real or only apparent.
• Portfolio drawdown: The largest historical drop in portfolio value from a peak to the next trough (over the collected snapshots). Shows how deep drawdowns have been so far. Historical, not a forecast.
• Portfolio health score: A 0–100 diagnostic score of your portfolio's structure with an A–E grade. It is a weighted average of four components: diversification, return-to-risk (Sharpe), drawdown resilience and blue-chip (BTC/ETH) share.
• Portfolio volatility: The standard deviation of daily portfolio value changes: how strongly value swung day to day. A higher number = larger swings. Historical, not a forecast.
• Price with EMA lines: A price chart with two exponential moving averages (EMA 9 and EMA 21) and Bollinger Bands (BB 20,2). It shows the short-term trend direction and volatility, that is, how far price deviates from its mean.
• Project Comparison (2-3): A side-by-side view of 2–3 selected cryptocurrencies across four key metrics: price, 24h change, market cap and 24h volume.
• Protocol TVL: Total Value Locked: the combined value of capital locked in a DeFi protocol (or network). It shows how much real money actually uses the protocol, i.e. its usefulness and the capital's trust.
• Puell Multiple: The Puell Multiple compares miners' daily revenue with its yearly average, which shows whether miner-side supply is cheap or exceptionally profitable.
• Radar Chart (multi-dimensional): A multi-dimensional project profile across 6 categories (0–10 scale). Instead of a single number it shows strengths and weaknesses at once; the larger and more even the polygon, the better-balanced the project.
• Risk contribution per position: Each position's share of the portfolio's total VOLATILITY (not just of its value). It combines a position's weight, its volatility and its link to the rest of the portfolio, showing where the swings really come from.
• Risk Warnings (scam signals): A shortened, public list of projects where our algorithms raised a warning: name, risk level and a one-sentence reason. It is a warning signal based on public data, not an accusation or proof of fraud.
• RSI Indicators: A list of cryptocurrencies with the most extreme RSI(14) readings: overbought (RSI > 70) and oversold (RSI < 30) shown separately.
• Scam & Rug-Pull Detection: A list of projects flagged by CryptoPulsar algorithms as risky, with a risk level and concrete warning flags. It is a defensive tool that shows where signs of fraud or high risk were detected.
• Sector Driver: Sector rotation shows which categories (e.g. AI, DeFi, L2, memecoins) capital is currently flowing into (and whether the selected coin's sector is in market favor).
• Sharpe ratio of a portfolio: The Sharpe ratio (annualized) plus your portfolio's path compared with BTC and ETH, normalized to a common start = 100. It measures historical return per unit of volatility, meaning how much "stress" a given return cost.
• Smart money flows: A ranking of the most active DEX wallets („smart money”) over the last 24 hours, sorted by trade count. For each wallet it shows the address, the number of trades and the USD volume (when available).
• Social radar of a coin: X sentiment for this specific coin: a deep read (consensus, bull vs bear points, divergences) plus mentions in the daily market snapshots. A social layer as context; it does not feed our numeric score.
• Social Radar: X sentiment: A daily snapshot of sentiment from X (Twitter): how the community talks about top coins, which narratives are trending, and which projects are starting to get loud.
• Social Volume: Social volume measures how often a coin is talked about online: the number of mentions, posts and discussions on social media.
• Spot ETF: ETF flows show how much institutional capital is entering or leaving spot ETFs, which is a direct gauge of large-player demand.
• Stablecoins: Stablecoin inflows show how much "dry powder" (capital in stablecoins) is ready to enter the market, which is potential buying power.
• Technical indicators of a coin: A set of technical indicators for the project with ready-made signals: RSI (14), 7d momentum, 30d volatility and the volume-to-market-cap ratio. Each carries a label (e.g.
• Token Unlock Calendar: A calendar of scheduled one-off token unlocks (cliff type) for the coins we track: these are the days when a predetermined batch from the team, investor or ecosystem allocation enters circulation.
• Top Gainers (24h): The coins with the biggest price gains in the selected time window (24h by default, plus one hour and the shortest window we can honestly compute from our own price history).
• Top Losers (24h): The coins with the biggest price declines in the selected time window: 24h by default, plus one hour and the shortest window we can honestly compute from our own price history.
• Trending Score: The trending score (Trending on CoinGecko) measures how strongly a coin draws attention: searches and positions on popularity lists.
• Underwater chart: An "underwater" chart: for each day it shows how many percent the portfolio was below its prior peak. The line touches zero at new highs and dips deeper during drawdowns.
• Volume Leaders: The top 5 cryptocurrencies by trading volume over the last 24 hours. For each it shows the ranking position, symbol, current price and turnover value.
• Whale activity: Whale (large-wallet) activity for the project: the daily count of large transactions plus individual moves with direction (inflow, outflow, transfer) and USD value.
• Whale Activity Chart: A bar chart of daily whale activity for a chosen token (BTC, ETH or XRP) over the last 60 days. Each bar is the number of whale transactions (>$1M USD) on that day.
• Whale Alert Feed (live): A live stream of the largest transactions (>$1M USD) gathered from the Whale Alert Telegram channel and blockchain intelligence.
• Whale Heatmap: A heatmap of whale activity broken down by day of week (Monday–Sunday) over the last 90 days.
• Whale Pressure (ranking): A ranking of tokens by the number of whale transactions (wallets >$1M USD) over the last 60 days, based on CEX flows across multiple chains.