CryptoPulsar AI features: every crypto analytics module
CryptoPulsar AI is a set of analytics modules, each answering a different question about the crypto market. Below is what each one shows, which data it works on and where to find the description of its methods.
CryptoCycle: market cycle score for Bitcoin and altcoins
A cycle score out of 50 built from on-chain, technical, derivatives and sentiment indicators, split into short, medium and long term, with the weight and contribution of every indicator shown.
- Cycle score out of 50 with a short, medium and long term breakdown
- Per indicator value, weight, points and share of the total
- On-chain valuation: MVRV, NVT, active addresses, exchange supply
- Technical momentum: RSI, MACD, moving average crosses
- Positioning and sentiment: funding rate, Fear and Greed, BTC dominance
- AI commentary that summarises the reading in plain language
Methods in this module
- Cycle score
- Cycle Score (CryptoPulsar)
- MVRV Ratio
- NVT Ratio
- RSI (Relative Strength Index)
- MACD
- MA Cross (Moving Average Cross)
- Funding Rate
- Fear & Greed Index
- BTC Dominance
- Halving (Bitcoin)
- ATH (All-Time High)
- Active Addresses
- Exchange Supply %
AI analyses of cryptocurrencies
AI analyses of individual coins: a potential and risk score from 0 to 10, a short summary, pros and cons, sentiment and market context, refreshed on a schedule.
- Potential and risk score from 0 to 10 for each coin
- Summary with pros and cons
- Scenario forecasts: direction, confidence, range and horizon
- News and social sentiment
- Market context: Fear and Greed, global market cap, BTC dominance
- Generation time shown on every analysis
Methods in this module
Crypto derivatives analytics: funding, OI, long/short ratio and liquidations
Funding rates, open interest, long/short ratios and live liquidations from Binance Futures, OKX and Bybit, with liquidation cascade detection and a per exchange or combined view.
- Live liquidations from Binance Futures, OKX and Bybit
- Liquidation cascade detection against a typical hour baseline
- Long/short account ratio with 5 minute, 15 minute and 1 hour changes
- Funding rate and open interest with 24 hour change
- Combined view or a single exchange view
- Order book depth, options market and exchange price divergence
- AI commentary on derivatives positioning in three languages
Methods in this module
- Live Liquidations
- Liquidation Cascades
- Long/Short Ratio (trader positioning)
- Long/short ratio chart
- Advanced Indicators (Funding Rate, Open Interest, futures sentiment)
- Options Market
- Exchange Divergence (price gaps)
- Order Book Depth
Macro barometer for crypto investors
Bitcoin next to gold, the S&P 500, Nasdaq, the CD20 index, the dollar index DXY, VIX and US 10 year yields, with BTC correlations, altseason context, liquidity and ETF flows.
- Eight macro assets with price, 24h change and BTC correlation
- Risk-on or risk-off reading at a glance
- Altcoin season context and market liquidity
- Spot Bitcoin ETF flows
- Currency monitor
- AI commentary on the macro backdrop
Methods in this module
- Macro Barometer (BTC, Gold, S&P500)
- Correlation of Bitcoin with macro assets
- Macro assets chart
- Altcoin season in the macro view
- AI macro commentary
- Market Liquidity
- Currency & Crypto Exchange
- ETF Flows (spot BTC/ETH)
Crypto market heatmap
A heatmap of the crypto market where tile size is market capitalisation and colour is price change over 1 hour, 24 hours, 7 or 30 days, with global dominance and an up/down counter.
- Tile size by market cap, colour by price change
- Global dominance consistent with the dominance widget
- Period filter: 1h, 24h, 7d or 30d
- Top 20 or top 50 coins with an up/down counter
Methods in this module
Crypto seasonality and statistically tested patterns
Day of week, weekend, turn of month and month by year seasonality for crypto, plus conditional patterns, each with sample size, 95% confidence interval, FDR significance and walk-forward checks.
- Day of week, weekend and turn of month statistics
- Month by year seasonality table
- Conditional patterns: what happened after a condition
- Sample size and 95% confidence interval on every result
- False discovery rate correction and walk-forward validation
- Volume seasonality and the typical path of a week
Methods in this module
- Seasonal Pattern Detector (historical tendency)
- Day of week seasonality
- Month by year seasonality
- Conditional market patterns
- Day of week statistics
- Turn of the month effect
- Weekend effect
- Volume by day of week
- Average path of the week
Observations: probabilistic crypto forecasts with measured accuracy
QWave forecasts for 1, 7 and 30 day horizons: probability of a rise, median change and an 80% interval, with direction hit rate and interval coverage measured on settled forecasts.
- Probability of a rise, median change and 80% interval
- Horizons of 1, 7 and 30 days
- Direction hit rate and interval coverage with sample size
- Live results kept separate from historical tests
- Market regime: uptrend, downtrend or consolidation
Methods in this module
Quantum View: the crypto market as a 3D universe
A 3D map of the crypto market: sphere size is market cap, axes show capital flow, volatility or correlation, colour shows the on-chain signal or sector, with whale activity and a time machine.
- Coins as spheres sized by market cap
- Configurable X, Y and Z axes with presets
- Colour by on-chain signal, sector or 24h change
- Correlation lines and focus on a single coin
- Whale activity and a time machine
Methods in this module
Trading agent: rule based crypto strategies under your control
A trading agent that runs crypto strategies on a paper account or on your own exchange account, within the limits you set, with every decision and its reasons logged.
- Paper account for testing strategies without risk
- Connection to your own exchange account with API keys
- Your limits: position size, daily stop, order caps
- Decision log with the data and reason behind every action
- Strategy templates and results tracked over time