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KlickAnalytics CLI Playground
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KlickAnalytics CLI Playground

Type ka help to see available commands. Use ↑↓ for history.

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Quick:
$ ka
Documentation
Quick Start
help ?
How to use the ka commands
Company Profile ?
Full company profile including business description, sector, industry, CEO, employees, IPO date, exchange, country, and website. Output includes a structured summary with key company identifiers and a narrative business overview.
ka profile -s TSLA ▶ Run
ka profile -s AAPL ▶ Run
Latest Quote ?
Real-time or latest market quote for any symbol. Returns bid, ask, open, high, low, close, volume, 52-week high/low, market cap, P/E ratio, and day change percentage. Output is a formatted market snapshot.
ka quote -s TSLA ▶ Run
ka quote -s AAPL ▶ Run
Stock Screener ?
Advanced multi-table stock screener filtering across price data (returns, volume, range, gap, trend), technical indicators (RSI, SMA/EMA, ADX, Bollinger Bands, CCI, signals), and company fundamentals (sector, industry, market cap, country). Filter syntax: 'field op value' with AND logic. Operators: > < >= <= = != IN NOT IN LIKE. Supports multi-value filters (sector IN Technology,Healthcare), glob patterns (sector LIKE Tech*), and custom sort/limit. Use -fields 1 to see available filter fields.
ka screener -filter "return_1m > 5 AND rsi14 < 70 AND sector = Technology" ▶ Run
ka screener -filter "return_1w > 3 AND volume_avg_20d > 1000000" -sort return_1w ▶ Run
ka screener -filter "rsi14 < 30 AND sma50 > sma200" -limit 20 ▶ Run
ka screener -filter "sector IN Technology,Healthcare AND marketcap > 10000000000" ▶ Run
ka screener -filter "adx14 > 30 AND return_1m > 0" -sort adx14 -sort_dir desc ▶ Run
ka screener -fields 1 ▶ Run
ka screener -filter "return_1d > 5 AND volume_ratio > 2" -limit 10 ▶ Run
ka screener -filter "rsi14 > 70 AND return_3m > 20" -output json ▶ Run
Price & Market Data
Historical Prices ?
Historical OHLCV (Open, High, Low, Close, Volume) price data with split and dividend adjustments. Supports custom date ranges and result limits. Output includes adjusted and unadjusted close prices for each trading day.
ka prices -s TSLA ▶ Run
ka prices AAPL -sd 2024-01-01 -ed 2024-12-31 ▶ Run
ka prices -s SPY -l 252 ▶ Run
ka prices -s MSFT -sd 2023-01-01 ▶ Run
ka prices -s NVDA -l 60 ▶ Run
ka prices -s BTCUSD -l 365 ▶ Run
ka prices -s TSLA -output json ▶ Run
ka prices -s AAPL -sd 2020-01-01 -ed 2020-12-31 ▶ Run
Best & Worst Days ?
Top N best and worst single-day return events in a symbol's history. Shows date, return percentage, and surrounding market context. Useful for understanding tail risk, volatility events, and how the stock behaves during extreme market moves.
ka bestdays -s TSLA ▶ Run
ka bestdays -s AAPL ▶ Run
ka bestdays -s SPY ▶ Run
ka bestdays -s NVDA ▶ Run
ka bestdays -s BTCUSD ▶ Run
ka bestdays -s AMZN -l 20 ▶ Run
ka bestdays -s TSLA -output json ▶ Run
ka bestdays -s GME ▶ Run
Seasonal Patterns ?
Monthly and quarterly seasonal return patterns based on full price history. Shows average return, win rate, and best/worst months for each calendar period. Useful for timing entries and exits based on historical tendencies.
ka seasonality -s TSLA ▶ Run
ka seasonality -s AAPL ▶ Run
ka seasonality -s SPY ▶ Run
ka seasonality -s TSLA -output json ▶ Run
Price Distribution ?
Statistical price distribution analysis showing where a stock has spent most of its time. Includes frequency histogram, percentile ranking of current price, mean, median, standard deviation, and skewness of the price distribution. Useful for understanding price ranges and current price context.
ka price-dist -s TSLA ▶ Run
ka price-dist -s AAPL ▶ Run
ka price-dist -s SPY ▶ Run
Up/Down Rally Analysis ?
Analyzes historical rally and pullback cycles. Shows average rally duration (days), average rally magnitude (%), average pullback duration, average pullback magnitude, and current cycle status. Useful for estimating how long and how far typical moves last for a given symbol.
ka updown -s TSLA ▶ Run
ka updown -s AAPL ▶ Run
ka updown -s SPY ▶ Run
Gap Analysis ?
Statistical analysis of historical price gaps. Categorizes gaps by type (gap-up / gap-down), shows fill rate (how often gaps close), average gap size, median time to fill, and frequency. Useful for gap trading strategies and understanding price behavior after gaps.
ka gap-analysis -s TSLA ▶ Run
ka gap-analysis -s AAPL ▶ Run
ka gap-analysis -s NVDA ▶ Run
ka gap-analysis -s TSLA -output json ▶ Run
Earnings & Fundamentals
Earnings History ?
Quarterly and annual earnings data including EPS (actual vs estimate), revenue (actual vs estimate), surprise percentage, and reporting date. Useful for tracking earnings trends and beat/miss history over time.
ka earnings -s TSLA ▶ Run
ka earnings -s AAPL ▶ Run
ka earnings -s MSFT -l 12 ▶ Run
ka earnings -s TSLA -output json ▶ Run
Earnings Reaction Moves ?
Historical earnings reaction analysis: how much the stock moved in the trading session immediately after each earnings report. Shows pre-earnings implied move vs actual move, gap direction, and trend over recent quarters. Useful for options traders and earnings event strategies.
ka earnings-moves -s TSLA ▶ Run
ka earnings-moves AMZN -l 12 ▶ Run
ka earnings-moves -s TSLA -output json ▶ Run
Stock Split History ?
Historical stock split data for a symbol. Shows split dates, split ratios (e.g., 4:1, 3:1, 2:1), and pre/post split prices. Important for understanding historical price context — a stock at $150 that did a 4:1 split was effectively $600. Relevant for back-adjusting prices, options analysis around split events, and historical performance review.
ka splits TSLA ▶ Run
ka splits AAPL ▶ Run
ka splits NVDA ▶ Run
ka splits -s AMZN ▶ Run
ka splits GOOGL ▶ Run
ka splits -s MSFT ▶ Run
ka splits BRK-B ▶ Run
ka splits -s TSLA -output json ▶ Run
Dividend History ?
Historical dividend payment data for a symbol. Shows ex-dividend dates, payment dates, dividend amounts, frequency, and yield calculation. Useful for income-focused investors analyzing dividend growth, consistency, and payout trends. Also important for options sellers managing covered call strategies around ex-dividend dates.
ka dividends AAPL ▶ Run
ka dividends MSFT ▶ Run
ka dividends JNJ ▶ Run
ka dividends -s KO ▶ Run
ka dividends T -l 20 ▶ Run
ka dividends -s TSLA ▶ Run
ka dividends SPY ▶ Run
ka dividends -s AAPL -output json ▶ Run
Earnings Summary ?
Summary of recent earnings performance trends. Shows EPS and revenue trajectory over the last 8-12 quarters, growth rates, beat/miss streak, and forward estimates if available. Provides a quick fundamental health check through the earnings lens.
ka earnings-summary -s TSLA ▶ Run
ka earnings-summary -s AAPL ▶ Run
ka earnings-summary -s NVDA ▶ Run
ka earnings-summary -s MSFT ▶ Run
ka earnings-summary -s AMZN ▶ Run
ka earnings-summary -s TSLA -output json ▶ Run
ka earnings-summary -s META ▶ Run
ka earnings-summary -s GOOGL ▶ Run
Post-Earnings Drift ?
Post-earnings price drift analysis: how the stock performs in the 1, 5, 10, 20, and 60 days after each earnings report. Shows average drift by beat/miss/in-line outcome, and cumulative drift chart. Based on the academic Post-Earnings Announcement Drift (PEAD) effect.
ka earnings-drift -s TSLA ▶ Run
ka earnings-drift -s AAPL ▶ Run
ka earnings-drift -s NVDA ▶ Run
Technical Analysis
Chart Pattern Scanner ?
Comprehensive chart pattern scanner detecting 50+ patterns across 8 categories: reversal (Head & Shoulders, Double/Triple Top/Bottom, V-Top), continuation (Flag, Pennant, Wedge, Cup & Handle), bilateral (Symmetrical Triangle, Broadening), directional (Ascending/Descending Triangle, Channel), volatility (VCP, Inside Bar, NR4/NR7, Compression Breakout), harmonic (ABCD, Gartley, Bat, Butterfly, Crab), price action (BOS, CHOCH, FVG, Liquidity Sweep), and hybrid patterns. Each pattern scored 0-100 for confidence.
ka patterns TSLA ▶ Run
ka patterns AAPL -categories reversal,continuation ▶ Run
ka patterns NVDA -min_confidence 70 ▶ Run
ka patterns -s SPY -lookback 500 ▶ Run
ka patterns MSFT -categories harmonic ▶ Run
ka patterns -s TSLA -output json ▶ Run
ka patterns QQQ -categories volatility ▶ Run
ka patterns AMD -categories price_action ▶ Run
Candlestick Patterns ?
Detected candlestick patterns in recent price history. Identifies reversal and continuation patterns including Doji, Hammer, Shooting Star, Engulfing, Morning/Evening Star, and Harami. Each pattern shows detection date, direction (bullish/bearish), and signal strength.
ka candle_patterns -s TSLA ▶ Run
ka candle_patterns -s AAPL ▶ Run
ka candle_patterns -s SPY ▶ Run
ka candle_patterns -s NVDA ▶ Run
ka candle_patterns -s MSFT -l 60 ▶ Run
ka candle_patterns -s TSLA -output json ▶ Run
Fibonacci Levels ?
Fibonacci retracement and extension levels calculated from the most significant recent swing high and low. Shows key levels at 23.6%, 38.2%, 50%, 61.8%, 78.6%, and extension levels at 127.2% and 161.8%. Useful for identifying potential support, resistance, and price targets.
ka fib -s NVDA ▶ Run
ka fib -s BTCUSD ▶ Run
ka fib MSFT -tf 6m ▶ Run
ka fib -s TSLA -output json ▶ Run
Price Action Strategies ?
Price action signal analysis including breakout detection, support/resistance tests, trend line breaks, and inside/outside bar patterns. Shows recent signals with date, pattern type, direction, and historical success rate for each pattern type.
ka price-actions -s TSLA ▶ Run
ka price-actions -s AAPL ▶ Run
ka price-actions -s TSLA -output json ▶ Run
Technical Analysis Report ?
Full technical analysis report combining price data with key indicators. Includes RSI (9/14/20), MACD line/signal/histogram, Bollinger Bands, ATR, ADX/+DI/-DI, all moving averages (SMA/EMA 20/50/100/200), and a composite signal summary. Best for a quick complete technical picture of any symbol.
ka ta -s TSLA ▶ Run
ka ta -s AAPL ▶ Run
Technical Analysis Signals ?
Comprehensive technical signal pack covering 15+ indicators. Includes MA crossover signals (SMA/EMA 20/50/200), RSI overbought/oversold, MACD crossover, Bollinger Band squeeze/breakout, Stochastic, ADX trend strength, and CCI signals. Output: signal table with direction (buy/sell/neutral) and strength.
ka ta-signals -s TSLA ▶ Run
ka ta-signals -s AAPL ▶ Run
ka ta-signals -s SPY ▶ Run
ka ta-signals -s NVDA ▶ Run
ka ta-signals -s MSFT ▶ Run
ka ta-signals -s TSLA -output json ▶ Run
ka ta-signals -s QQQ ▶ Run
ka ta-signals -s BTCUSD ▶ Run
Technical Rank ?
Multi-symbol 0-100 composite score leaderboard. Ranks symbols across 6 components: Momentum (25%), Trend Quality (20%), Relative Strength (15%), RSI Positioning (15%), Volume Confirmation (15%), and ATH Distance (10%). Outputs a ranked leaderboard for quick comparative screening.
ka technical-rank -s AAPL,MSFT,NVDA,TSLA,GOOGL,META ▶ Run
ka technical-rank -s SPY,QQQ,IWM,DIA,GLD,TLT,SLV,USO ▶ Run
ka technical-rank -s AAPL,MSFT,GOOGL,AMZN,META,NVDA,TSLA,AVGO,AMD,ORCL ▶ Run
ka technical-rank -s JPM,BAC,WFC,GS,MS,C ▶ Run
ka technical-rank -s XOM,CVX,COP,SLB,EOG ▶ Run
ka technical-rank -s TSLA,RIVN,NIO,LCID,F,GM ▶ Run
ka technical-rank -s AAPL,MSFT,NVDA,TSLA -output json ▶ Run
ka technical-rank -s SPY,QQQ,IWM,EFA,EEM,GLD,TLT,BND ▶ Run
Support & Resistance Levels ?
Identifies key support and resistance levels using three methods: volume profile (high-volume nodes), swing pivot analysis (local H/L extremes), and price clustering density (KDE-based). Levels are scored 0-100 based on volume, touches, density, recency, and method overlap. Outputs separate support and resistance lists sorted by proximity to current price.
ka levels -s TSLA ▶ Run
ka levels -s AAPL -tf 2y ▶ Run
ka levels -s NVDA -n_levels 10 ▶ Run
ka levels TSLA -n_levels 15 -swing_lb 8 ▶ Run
ka levels -s TSLA -output json ▶ Run
ka levels MSFT -tf 6m ▶ Run
Trend Quality Score ?
5-component trend quality score (0-100) covering: R² of log-price regression (30%), ADX strength (25%), Higher High/Higher Low consistency (20%), volume-adjusted slope t-statistic (15%), and percentage of trending days (10%). Output includes multi-timeframe scores (20d, 63d, 126d) plus full window, with detailed component breakdown.
ka trend -s TSLA ▶ Run
ka trend -s AAPL ▶ Run
ka trend -s TSLA -tf 2y ▶ Run
ka trend -s SPY -adx_period 20 ▶ Run
ka trend -s NVDA -output json ▶ Run
Volume & Volatility
Historical Volatility ?
Historical (realized) volatility analysis across multiple rolling windows (10d, 20d, 30d, 60d, 90d, 1y). Shows annualized volatility percentages, volatility trend, and comparison to 52-week average. Useful for options pricing, risk assessment, and position sizing.
ka volatility -s TSLA ▶ Run
ka volatility -s AAPL ▶ Run
ka volatility TSLA -sd 2024-01-01 -ed 2024-12-31 ▶ Run
ka volatility -s VIX ▶ Run
Volume Profile ?
Volume profile analysis showing price levels with the highest and lowest trading activity. Identifies the Point of Control (highest volume price), Value Area High/Low (70% of volume range), and high-volume nodes (HVN) / low-volume nodes (LVN). Key for institutional-level support/resistance analysis.
ka vol-profile -s TSLA ▶ Run
ka vol-profile -s AAPL ▶ Run
ka vol-profile -s SPY ▶ Run
ka vol-profile -s NVDA ▶ Run
Unusual Volume ?
Detects days with statistically unusual trading volume — both spikes and unusually low volume. Shows date, actual volume, average volume, volume ratio, and price return on that day. Useful for spotting institutional accumulation, distribution, or news-driven volume events.
ka vol-unusual -s TSLA ▶ Run
ka vol-unusual -s AAPL ▶ Run
Analytics
Quant Statistics ?
Comprehensive quantitative statistics report. Includes CAGR, Sharpe ratio, Sortino ratio, Calmar ratio, max drawdown, win rate, profit factor, average gain/loss, best/worst day, monthly returns breakdown, and risk-adjusted performance metrics.
ka quantstats -s TSLA ▶ Run
ka quantstats -s AAPL ▶ Run
ka quantstats -s SPY -l 252 ▶ Run
ka quantstats -s NVDA -l 504 ▶ Run
ka quantstats -s BTCUSD ▶ Run
ka quantstats -s MSFT -output json ▶ Run
ka quantstats -s QQQ -l 756 ▶ Run
ka quantstats -s GLD ▶ Run
Stretch & Reversion Analysis ?
How far is price from its mean, and what historically happens next? Computes z-score of close vs SMA20/SMA50/SMA200, Bollinger %B and bandwidth, RSI(14), and percent deviation from each MA. The key insight: finds every historical stretch event (crossing the z-score threshold) in the same direction as the current stretch, then measures forward returns at 5d/10d/20d/63d and reversion probability. Quantifies whether buying the dip or fading the rip has edge on this specific symbol.
ka mean-reversion TSLA ▶ Run
ka mean-reversion AAPL ▶ Run
ka mean-reversion NVDA -stretch_z 2.0 ▶ Run
ka mean-reversion -s SPY ▶ Run
ka mean-reversion MSFT -lookback 1000 ▶ Run
ka mean-reversion -s TSLA -output json ▶ Run
ka mean-reversion QQQ -exit_z 0.3 ▶ Run
ka mean-reversion BTC-USD ▶ Run
Trader Statistics ?
Trading-focused statistics: win rate, average gain, average loss, profit factor, expectancy, average holding period, largest win/loss, and consecutive win/loss streaks. Helps evaluate the historical tradability and edge of a symbol.
ka traderstats -s TSLA ▶ Run
ka traderstats -s AAPL ▶ Run
ka traderstats -s SPY -l 252 ▶ Run
ka traderstats -s TSLA -output json ▶ Run
Market Regime Detection ?
Classifies the current market regime using five independent statistical lenses: Trend (ADX, +DI/-DI, SMA alignment), Volatility (HV short/long ratio, percentile), Memory (Hurst exponent via R/S analysis), Momentum (return autocorrelation at lag-1 and lag-5), and Structure (price vs SMA50/200, slope). Primary regimes: TRENDING-UP, TRENDING-DOWN, RANGING, BREAKOUT. Volatility regime: HIGH-VOL, NORMAL-VOL, LOW-VOL. Memory: PERSISTENT, RANDOM, MEAN-REVERTING. Suggests optimal strategy per regime.
ka regime SPY ▶ Run
ka regime TSLA ▶ Run
ka regime NVDA ▶ Run
ka regime -s AAPL -lookback 500 ▶ Run
ka regime QQQ ▶ Run
ka regime -s SPY -adx_period 20 ▶ Run
ka regime BTC-USD ▶ Run
ka regime -s TSLA -output json ▶ Run
Correlation Matrix ?
Pearson correlation matrix for 2-10 symbols over a selected time period. Shows pairwise correlations from -1 (perfectly inverse) to +1 (perfectly correlated). Useful for portfolio diversification analysis and identifying hedging relationships. Includes a formatted heatmap-style text output.
ka corr-matrix -s TSLA,AAPL,MSFT,NVDA,GOOGL ▶ Run
ka corr-matrix -s SPY,QQQ,IWM,DIA ▶ Run
ka corr-matrix -s TSLA,GLD,TLT,SPY ▶ Run
ka corr-matrix -s AAPL,MSFT,GOOGL,META,AMZN -tf 2y ▶ Run
ka corr-matrix -s BTCUSD,ETHUSD,SPY,GLD ▶ Run
ka corr-matrix -s XOM,CVX,COP,SLB -tf 1y ▶ Run
ka corr-matrix -s TSLA,RIVN,NIO,LCID ▶ Run
ka corr-matrix -s AAPL,MSFT,NVDA,TSLA,GOOGL,META,AMZN -output json ▶ Run
Drawdown Analysis ?
Comprehensive drawdown analysis showing all historical drawdown periods. Includes maximum drawdown, average drawdown, median recovery time, current drawdown from peak, longest drawdown period, and underwater equity curve. Essential for risk assessment and strategy evaluation.
ka drawdown -s TSLA ▶ Run
ka drawdown -s AAPL ▶ Run
ka drawdown -s TSLA -tf 3y ▶ Run
ka drawdown QQQ -tf 5y ▶ Run
ka drawdown -s TSLA -output json ▶ Run
Momentum Analysis ?
Multi-period momentum analysis showing returns across 1-day, 1-week, 1-month, 3-month, 6-month, and 1-year timeframes. Includes momentum rank within peer group, RSI, trend direction, and 52-week high/low context. Useful for momentum screening and trend confirmation.
ka momentum -s TSLA ▶ Run
ka momentum -s AAPL ▶ Run
ka momentum -s NVDA ▶ Run
Multi-Symbol Comparison ?
Side-by-side comparison of 2-10 symbols across key metrics: returns (1d/1m/3m/1y), volatility, Sharpe ratio, beta vs SPY, RSI, ADX, max drawdown, and market cap. Output is a formatted comparison table. Ideal for peer analysis, ETF comparison, and portfolio candidate screening.
ka compare -s AAPL,MSFT,GOOGL,META,AMZN ▶ Run
ka compare -s TSLA,RIVN,NIO,LCID ▶ Run
ka compare -s SPY,QQQ,IWM,DIA,GLD,TLT ▶ Run
ka compare -s TSLA,AAPL -tf 2y ▶ Run
ka compare -s JPM,BAC,WFC,GS,MS ▶ Run
ka compare -s BTCUSD,ETHUSD,GLD,SPY ▶ Run
ka compare -s NVDA,AMD,INTC,TSM ▶ Run
ka compare -s AAPL,MSFT,GOOGL,AMZN -output json ▶ Run
Beta Analysis ?
Beta analysis vs a benchmark (default: SPY). Reports beta, alpha, R-squared, correlation, and tracking error over multiple timeframes. Includes rolling beta chart to show how beta has changed over time. Useful for understanding a stock's systematic risk and market sensitivity.
ka beta -s TSLA ▶ Run
ka beta -s AAPL ▶ Run
ka beta -s TSLA -b QQQ ▶ Run
ka beta GLD -b SPY ▶ Run
ka beta -s TSLA -tf 2y ▶ Run
Relative Strength Rating ?
Relative strength rating (0-99) measuring price performance vs a universe of stocks and a benchmark over multiple periods. A score of 99 means the stock outperformed 99% of the universe. Includes 1-month, 3-month, 6-month, and 1-year RS components with composite score.
ka rel-strength -s TSLA ▶ Run
ka rel-strength -s AAPL ▶ Run
ka rel-strength -s TSLA -tf 2y ▶ Run
ka rel-strength -s NVDA -output json ▶ Run
streaks ?
Multi-type streak analysis for a symbol. Tracks consecutive up/down price days, days trading above or below key moving averages (SMA20, SMA50, SMA200), consecutive high or low volume days, and RSI zone streaks (overbought, oversold, bullish, bearish). Each streak type shows the current active streak, historical stats (count, average length, max length, average return), and the top longest historical streaks. Use -type to focus on a specific streak category, -threshold to filter noise from small price moves, and -lookback to control the analysis window.
ka streaks -s AAPL ▶ Run
ka streaks -s TSLA -type price ▶ Run
ka streaks -s NVDA -type sma ▶ Run
ka streaks -s MSFT -type volume ▶ Run
ka streaks -s AAPL -type rsi ▶ Run
ka streaks -s TSLA -lookback 504 ▶ Run
ka streaks -s AAPL -type price -threshold 1 ▶ Run
ka streaks -s GOOGL -top_n 10 -output json ▶ Run
Pairs Trading Analysis ?
Quantitative pairs trading analysis for two symbols. Computes hedge ratio via OLS regression, spread statistics, rolling z-score (current divergence from mean), ADF cointegration test with p-value, half-life of mean reversion, correlation, historical spread extremes, and entry/exit signals at configurable z-score thresholds. Supports log-price and raw-price spread types. Essential for statistical arbitrage and market-neutral strategies.
ka pairs -s TSLA,RIVN ▶ Run
ka pairs -s NVDA,AMD ▶ Run
ka pairs -s AAPL,MSFT -lookback 500 ▶ Run
ka pairs -s KO,PEP ▶ Run
ka pairs -s XOM,CVX -entry_z 2.5 ▶ Run
ka pairs -s GOOGL,META -spread_type price ▶ Run
ka pairs -s GLD,GDX ▶ Run
ka pairs -s TSLA,RIVN -output json ▶ Run
Portfolio & Risk
Formula Scanner ?
Custom OHLCV formula scanner. Evaluate any mathematical expression over historical price data and see when the condition was true. Supports functions like avg(), std(), max(), min() over rolling windows. Useful for backtesting entry signals and custom indicator research.
ka formula-scan TSLA -expr "(C > avg(C,20)) and (C > avg(C,50))" ▶ Run
ka formula-scan AAPL -expr "(C/avg(C,20) - 1) > 0.05" ▶ Run
ka formula-scan SPY -expr "(V > 2*avg(V,20)) and (C > avg(C,20))" ▶ Run
ka formula-scan NVDA -expr "(H - L) / avg(H-L, 14) > 2" ▶ Run
ka formula-scan TSLA -expr "(C > avg(C,50)) and (avg(C,20) > avg(C,50))" ▶ Run
ka formula-scan -s TSLA -expr "(C > O) and (V > avg(V,10))" ▶ Run
ka formula-scan AAPL -expr "C < avg(C,200) * 0.95" ▶ Run
ka formula-scan -s SPY -output json -expr "C > avg(C,20)" ▶ Run
Portfolio Analytics ?
Portfolio-level analytics for 2-20 symbols with optional position details (shares, cost basis, purchase date). Computes weighted returns, portfolio volatility, Sharpe ratio, correlation matrix, individual risk contribution, and minimum-variance optimization. Holdings format: SYMBOL:shares:avg_cost:purchase_date (all fields after symbol are optional).
ka portfolio -s AAPL,MSFT,GOOGL,TSLA ▶ Run
ka portfolio -s SPY,QQQ,GLD,TLT,BND ▶ Run
ka portfolio -holdings "AAPL:100:150.50:2024-01-15,MSFT:50:280.00:2023-06-01,TSLA:20:350.00" ▶ Run
ka portfolio -holdings "SPY:200:420.00,QQQ:150:340.00,GLD:100:185.00,TLT:100:95.00" ▶ Run
ka portfolio -s AAPL,MSFT,GOOGL,TSLA -weights 0.4,0.3,0.2,0.1 ▶ Run
ka portfolio -s AAPL,MSFT,GOOGL,TSLA -tf 2y -rf 4.5 ▶ Run
ka portfolio -s AAPL,MSFT,NVDA,TSLA,META,GOOGL,AMZN -tf 3y ▶ Run
ka portfolio -s AAPL,MSFT,GOOGL,TSLA -output json ▶ Run
Risk Dashboard ?
Comprehensive risk dashboard computing: VaR (95% and 99% confidence), CVaR/Expected Shortfall, Ulcer Index, Pain Ratio, Tail Ratio, Skewness, Excess Kurtosis, Downside Deviation, Sortino Ratio, and Calmar Ratio. All computed from raw price history in Python — no reliance on external risk databases.
ka risk -s TSLA ▶ Run
ka risk -s AAPL -tf 3y ▶ Run
ka risk -s SPY ▶ Run
ka risk NVDA -tf 2y ▶ Run
ka risk BTCUSD -tf 1y ▶ Run
ka risk -s TSLA -rf 0.045 ▶ Run
ka risk SPY -tf all ▶ Run
ka risk -s NVDA -output json ▶ Run
Research & AI
Peer Comparison ?
Side-by-side comparison of peer companies in the same sector/industry. Shows current price, 1-month and 1-year return, market cap, P/E ratio, and RSI for each peer. Useful for sector rotation and relative value analysis.
ka peers -s TSLA ▶ Run
ka peers -s AAPL ▶ Run
News Summary ?
AI-generated summary of the latest news and sentiment for a symbol. Aggregates recent news articles, extracts key themes, and provides an overall sentiment assessment (bullish/bearish/neutral). Useful for quick fundamental event scanning.
ka news-summary -s TSLA ▶ Run
ka news-summary -s AAPL ▶ Run
ka news-summary -s NVDA ▶ Run
ka news-summary -s TSLA -output json ▶ Run
AI Chart Analysis ?
AI-powered technical chart pattern analysis. Identifies chart patterns (head & shoulders, cup & handle, triangles, flags, double tops/bottoms), evaluates trend structure, key support/resistance, and provides a narrative summary of the current technical setup. Powered by Claude AI.
ka analyze-chart -s TSLA ▶ Run
ka analyze-chart -s AAPL ▶ Run
ka analyze-chart -s SPY ▶ Run
ka analyze-chart -s NVDA ▶ Run
ka analyze-chart -s BTCUSD ▶ Run
ka analyze-chart -s TSLA -tf 6m ▶ Run
ka analyze-chart -s TSLA -output json ▶ Run
Other
List Commands ?
List all available KlickAnalytics CLI commands with descriptions and sample usage.
ka list-commands ▶ Run
Changelog ?
View the KlickAnalytics CLI changelog — lists all recent updates, new commands, and improvements.
ka changelog ▶ Run
AI Chat ?
Ask AI any market question — uses GPT to answer with context from KlickAnalytics data. Supports free-form queries about stocks, markets, earnings, and more.
ka ai-chat -q "latest information on TSLA" ▶ Run
ka ai-chat -m "summarize MSFT latest earnings" ▶ Run
ka ai-chat -q "compare NVDA vs AMD revenue growth" ▶ Run
ka ai-chat -q "what happened to AAPL stock today" ▶ Run
Financial Statements ?
Income statement, balance sheet, cash flow statement, and key financial metrics from quarterly and annual filings. Shows revenue, gross profit, operating income, net income, EPS, total assets, total debt, free cash flow, margins, ROE, ROIC, and more. Supports quarterly and annual periods with configurable history depth. Essential for fundamental analysis, financial modeling, and company valuation.
ka financials TSLA ▶ Run
ka financials AAPL -period annual ▶ Run
ka financials NVDA -l 12 ▶ Run
ka financials -s MSFT -period annual -l 5 ▶ Run
ka financials AMZN ▶ Run
ka financials -s GOOGL -period quarter ▶ Run
ka financials META -l 8 ▶ Run
ka financials -s TSLA -output json ▶ Run
Analyst Estimates & Consensus ?
Forward analyst estimates for EPS and revenue, price targets, and recommendation consensus (Strong Buy/Buy/Hold/Sell/Strong Sell). Shows consensus EPS estimate, high/low range, number of analysts, and price target range for upcoming quarters. Useful for understanding market expectations and identifying potential earnings surprises when actual results deviate from consensus.
ka estimates TSLA ▶ Run
ka estimates AAPL ▶ Run
ka estimates NVDA -l 8 ▶ Run
ka estimates -s MSFT ▶ Run
ka estimates AMZN ▶ Run
ka estimates -s GOOGL ▶ Run
ka estimates META ▶ Run
ka estimates -s TSLA -output json ▶ Run
Institutional Ownership ?
Institutional holder analysis: top holders, percentage of shares held by institutions, and quarterly changes in position size. Shows holder name, shares held, portfolio weight, change from prior quarter, and market value. Useful for tracking smart money positioning — increasing institutional ownership can signal confidence, while decreasing may signal distribution.
ka institutional TSLA ▶ Run
ka institutional AAPL ▶ Run
ka institutional NVDA -l 30 ▶ Run
ka institutional -s MSFT ▶ Run
ka institutional AMZN ▶ Run
ka institutional -s GOOGL ▶ Run
ka institutional META ▶ Run
ka institutional -s TSLA -output json ▶ Run
Earnings Calendar ?
Upcoming and recent earnings announcement dates for a symbol. Shows next earnings date, days until next report, previous earnings dates, and reporting time (before market / after market). Critical for swing traders who need to avoid holding through binary earnings events, and for event traders who position around earnings catalysts.
ka earnings-calendar TSLA ▶ Run
ka earnings-calendar AAPL ▶ Run
ka earnings-calendar NVDA ▶ Run
ka earnings-calendar -s MSFT ▶ Run
ka earnings-calendar AMZN ▶ Run
ka earnings-calendar -s GOOGL ▶ Run
ka earnings-calendar META ▶ Run
ka earnings-calendar -s TSLA -output json ▶ Run
Social Sentiment ?
Social media sentiment analysis from StockTwits and Twitter/X. Shows post counts, comments, likes, impressions, and sentiment trends over a configurable window (default 30 days). Tracks bullish vs bearish sentiment shifts and volume of social discussion. Useful for gauging retail crowd positioning and identifying sentiment extremes that may signal contrarian opportunities.
ka sentiment TSLA ▶ Run
ka sentiment AAPL ▶ Run
ka sentiment NVDA ▶ Run
ka sentiment -s GME ▶ Run
ka sentiment MSFT -days 60 ▶ Run
ka sentiment -s TSLA -output json ▶ Run
ka sentiment AMC ▶ Run
ka sentiment BTC-USD ▶ Run
Analyst Estimate Revisions ?
Tracks how analyst EPS and revenue estimates have changed over time for upcoming quarters. Rising estimates signal positive earnings momentum, falling estimates signal deterioration. Shows current consensus estimate, estimate 30/60/90 days ago, revision direction and magnitude, number of analysts, and consensus recommendation (strong buy / buy / hold / sell / strong sell). A leading indicator of earnings surprise direction.
ka estimate-revisions TSLA ▶ Run
ka estimate-revisions AAPL ▶ Run
ka estimate-revisions NVDA ▶ Run
ka estimate-revisions -s MSFT ▶ Run
ka estimate-revisions AMZN -l 12 ▶ Run
ka estimate-revisions -s GOOGL ▶ Run
ka estimate-revisions META ▶ Run
ka estimate-revisions -s TSLA -output json ▶ Run
Insider Trading Activity ?
Recent insider trading activity from SEC Form 4 filings. Shows insider name, title (CEO, CFO, Director, etc.), transaction type (buy/sell/exercise), shares traded, price, total value, and filing date. Insider buying is a strong bullish signal — executives putting their own money into the stock. Cluster buying (multiple insiders buying) is especially significant.
ka insiders TSLA ▶ Run
ka insiders AAPL ▶ Run
ka insiders NVDA ▶ Run
ka insiders -s MSFT ▶ Run
ka insiders AMZN -l 30 ▶ Run
ka insiders -s JPM ▶ Run
ka insiders META ▶ Run
ka insiders -s TSLA -output json ▶ Run
HMM Regime Detection ?
Hidden Markov Model regime detection fitting a 2-3 state Gaussian HMM to daily returns via the Baum-Welch (EM) algorithm. Probabilistically identifies bull, bear, and sideways regimes. Returns current regime probabilities, state transition matrix, expected duration per regime, full regime history timeline, and per-regime statistics (mean return, volatility, Sharpe). Pure Python implementation — no external ML dependencies.
ka regime-hmm SPY ▶ Run
ka regime-hmm TSLA ▶ Run
ka regime-hmm NVDA -states 2 ▶ Run
ka regime-hmm -s AAPL -tf 10y ▶ Run
ka regime-hmm QQQ -states 3 ▶ Run
ka regime-hmm -s SPY -max_iter 200 ▶ Run
ka regime-hmm BTC-USD -tf 3y ▶ Run
ka regime-hmm -s TSLA -output json ▶ Run
Chart Image Generator ?
Composable chart image generator — build any technical chart by stacking overlays on the price axis and indicator panels below. Overlays: sma(), ema(), bb(), kc(), vwap, env(). Panels: vol, rsi(), macd(), stoch(), adx(), obv, atr(), cci(), willr(), mfi(). Each indicator takes inline params like bb(20,2.5) or macd(12,26,9). Special types: compare (multi-symbol), drawdown, histogram. Custom title via -title. Dark and light themes. Returns image/png or base64 JSON.
ka chart -s TSLA ▶ Run
ka chart -s AAPL -type line -tf 1y ▶ Run
ka chart -s SPY -type ohlc -tf 3m -size sm ▶ Run
ka chart -s TSLA -overlay sma(20),sma(50),sma(200) -panel vol -tf 1y ▶ Run
ka chart -s NVDA -overlay bb(20,2) -panel rsi(14),vol -tf 6m -size lg ▶ Run
ka chart -s AAPL -overlay ema(12),ema(26) -panel macd(12,26,9) -tf 1y ▶ Run
ka chart -s SPY -overlay bb(20,2),sma(200) -panel rsi(14),macd(12,26,9) -tf 1y -title "SPY Full Setup" -size lg ▶ Run
ka chart -s TSLA -overlay kc(20,1.5),bb(20,2) -panel vol -tf 6m -title "TSLA Squeeze" ▶ Run
ka chart -s MSFT -panel rsi(9),rsi(14),rsi(21) -tf 1y ▶ Run
ka chart -s NVDA -overlay sma(50) -panel adx(14),vol -tf 2y -title "NVDA Trend" -size xl ▶ Run
ka chart -s TSLA -overlay bb(20,3) -panel stoch(14,3),vol -tf 3m -size sm ▶ Run
ka chart -s AAPL -panel rsi(14),macd(12,26,9),adx(14),vol -tf 1y -title "AAPL Indicator Stack" ▶ Run
ka chart -s NVDA,AMD,TSLA,AAPL -type compare -tf 1y -title "AI vs Tech 2025" ▶ Run
ka chart -s SPY -type drawdown -tf 5y -title "SPY Drawdown" -size lg ▶ Run
ka chart -s TSLA -type histogram -tf 3y -title "TSLA Return Dist" ▶ Run
ka chart -s BTCUSD -overlay bb(20,2.5) -panel rsi(14),vol -tf 2y -title "BTC Technical" ▶ Run
ka chart -s META -overlay sma(20),sma(50),sma(200) -panel macd(12,26,9),vol -theme light ▶ Run
ka chart -s TSLA -overlay bb(10,1.5),bb(20,2),bb(20,3) -tf 3m -title "TSLA Multi-BB" ▶ Run
ka chart -s JPM -overlay vwap,sma(20) -panel obv,mfi(14) -tf 6m -title "JPM Flow" -size xl ▶ Run
ka chart -s GOOGL -panel stoch(14,3),cci(20) -sd 2024-06-01 -title "GOOGL Momentum" -size md ▶ Run
BB Squeeze Detector ?
Bollinger Band squeeze detector (TTM Squeeze inspired). When Bollinger Bands contract inside Keltner Channels, volatility is compressed and a directional explosion is imminent. Shows current squeeze status (on/off/fired), squeeze duration, momentum direction bias, BB width percentile, historical squeeze events with 5d/10d/20d post-squeeze returns, win rates, and bullish/bearish outcome ratios. Includes recent bar-by-bar squeeze + momentum table.
ka squeeze -s TSLA ▶ Run
ka squeeze -s NVDA ▶ Run
ka squeeze -s AAPL -tf 2y ▶ Run
ka squeeze -s SPY -tf 3y ▶ Run
ka squeeze -s TSLA -bb_len 20 -kc_mult 1.5 ▶ Run
ka squeeze -s MSFT -sd 2023-01-01 ▶ Run
ka squeeze -s QQQ -tf 1y ▶ Run
ka squeeze -s BTCUSD -tf 2y ▶ Run
ka squeeze -s AMD -tf 5y ▶ Run
ka squeeze -s TSLA -bb_mult 2.0 -kc_mult 1.0 ▶ Run
Multi-TF Trend Sweep ?
Multi-timeframe trend sweep for 1-20 symbols. For each symbol, analyzes trend direction on daily, weekly, and monthly timeframes using SMA alignment (10/20/50/200), ADX trend strength, DI+/DI- directional indicators, and 10-bar rate of change. Master alignment table shows which symbols are aligned across all timeframes (ALIGNED UP/DOWN) vs conflicted. Includes per-symbol detail with price-vs-MA checks, SMA stack order, and ADX strength labels.
ka sweep -s NVDA,AMD,TSLA,AAPL,META ▶ Run
ka sweep -s SPY,QQQ,IWM,DIA ▶ Run
ka sweep -s TSLA ▶ Run
ka sweep -s AAPL,MSFT,GOOGL,AMZN,META,NVDA,TSLA -tf 3y ▶ Run
ka sweep -s XOM,CVX,COP,SLB,EOG -sd 2023-01-01 ▶ Run
ka sweep -s JPM,BAC,WFC,GS,MS,C -sd 2022-01-01 -ed 2024-12-31 ▶ Run
ka sweep -s GLD,SLV,TLT,BND -tf 2y ▶ Run
ka sweep -s BTCUSD,ETHUSD,SPY ▶ Run
ka sweep -s TSLA,RIVN,NIO,LCID -tf 1y ▶ Run
ka sweep -s NVDA,AMD,TSM,AVGO,INTC -sd 2020-01-01 -ed 2025-03-28 ▶ Run
Entry/Exit Zones ?
Entry/exit zone calculator combining Fibonacci retracements, pivot points (daily/weekly/monthly), VWAP anchored levels (YTD/QTD/MTD with sigma bands), and ATR-based stop/target zones into one actionable table. Shows ATR stops (tight/normal/wide), targets at 1R/2R/3R reward, all pivot levels, Fibonacci retracement and extension levels, nearest support/resistance with distance, and a unified sorted level map with current price marker.
ka entry-exit -s TSLA ▶ Run
ka entry-exit -s NVDA ▶ Run
ka entry-exit -s AAPL -tf 1y ▶ Run
ka entry-exit -s SPY ▶ Run
ka entry-exit -s TSLA -atr_mult 2.0 ▶ Run
ka entry-exit -s MSFT -tf 3m ▶ Run
ka entry-exit -s BTCUSD ▶ Run
ka entry-exit -s AMD -sd 2024-01-01 ▶ Run
ka entry-exit -s QQQ -tf 6m ▶ Run
ka entry-exit -s GOOGL -atr_mult 1.0 ▶ Run
Trend Exhaustion Scanner ?
Trend exhaustion scanner — detects when a trend is running on fumes before reversal. Combines 5 signals: RSI divergence (price new high, RSI lower high), volume divergence (price extends on fading volume), DeMark TD Sequential countdown (9/13 setups), MA extension z-score (distance from 20/50/200 SMA), and RSI overbought/oversold extremes. Outputs a 0-100 composite exhaustion score with active signal list and per-component detail.
ka exhaustion -s NVDA ▶ Run
ka exhaustion -s TSLA ▶ Run
ka exhaustion -s SPY -tf 2y ▶ Run
ka exhaustion -s AAPL ▶ Run
ka exhaustion -s QQQ -tf 6m ▶ Run
ka exhaustion -s AMD -tf 1y ▶ Run
ka exhaustion -s MSFT -sd 2024-01-01 ▶ Run
ka exhaustion -s BTCUSD -tf 2y ▶ Run
ka exhaustion -s META ▶ Run
ka exhaustion -s IWM -tf 3y ▶ Run
Relative Rotation Graph ?
Relative Rotation Graph (RRG) analysis placing each symbol in one of 4 quadrants based on JdK RS-Ratio (relative strength vs benchmark, normalized to 100) and JdK RS-Momentum (rate of change of RS-Ratio). Quadrants: LEADING (outperforming & accelerating), WEAKENING (outperforming but decelerating), LAGGING (underperforming & decelerating), IMPROVING (underperforming but accelerating). Shows the clockwise rotation path and identifies which symbols are entering leadership.
ka relative-rotation -s NVDA,AMD,AVGO,QCOM,INTC ▶ Run
ka relative-rotation -s XLK,XLF,XLE,XLV,XLI,XLP -benchmark SPY ▶ Run
ka relative-rotation -s AAPL,MSFT,GOOGL,META,AMZN ▶ Run
ka relative-rotation -s TSLA,RIVN,NIO,LCID -benchmark QQQ ▶ Run
ka relative-rotation -s SPY,QQQ,IWM,DIA -benchmark SPY ▶ Run
ka relative-rotation -s JPM,BAC,WFC,GS,MS ▶ Run
ka relative-rotation -s XOM,CVX,COP,SLB -lookback 500 ▶ Run
ka relative-rotation -s NVDA,AMD,AVGO,TSM -output json ▶ Run
Performance Heatmap ?
Multi-symbol performance heatmap across timeframes. Shows returns for each symbol across 1-day, 1-week, 1-month, 3-month, 6-month, YTD, and 1-year periods in an ASCII color-coded table. Provides at-a-glance comparison of which symbols are leading or lagging across all timeframes. Ideal for sector comparison, portfolio review, and identifying momentum leaders and laggards in a basket.
ka heatmap -s AAPL,MSFT,NVDA,TSLA,GOOGL,META,AMZN ▶ Run
ka heatmap -s XLK,XLF,XLE,XLV,XLI,XLP,XLU ▶ Run
ka heatmap -s SPY,QQQ,IWM,DIA,GLD,TLT ▶ Run
ka heatmap -s TSLA,RIVN,NIO,LCID ▶ Run
ka heatmap -s JPM,BAC,WFC,GS,MS,C ▶ Run
ka heatmap -s NVDA,AMD,TSM,AVGO,QCOM ▶ Run
ka heatmap -s BTC-USD,ETH-USD,SOL-USD,ADA-USD ▶ Run
ka heatmap -s AAPL,MSFT,NVDA,TSLA -output json ▶ Run
Cross-Sectional Dispersion ?
Cross-sectional dispersion measuring how spread out returns are within a basket. High dispersion = stock-picking market (alpha opportunity), low dispersion = macro-driven / correlated (trade the index instead). Computes daily cross-sectional standard deviation, rolling dispersion (20d default), current percentile vs historical range, per-symbol deviation from basket mean (outlier detection), dispersion regime (HIGH/NORMAL/LOW/VERY_LOW), and average pairwise correlation.
ka dispersion -s TSLA,NVDA,AAPL,MSFT,META,AMZN,GOOGL ▶ Run
ka dispersion -s XLK,XLF,XLE,XLV,XLI,XLP -period 1y ▶ Run
ka dispersion -s NVDA,AMD,AVGO,TSM,QCOM -window 30 ▶ Run
ka dispersion -s SPY,QQQ,IWM,DIA -period 2y ▶ Run
ka dispersion -s JPM,BAC,WFC,GS,MS -period 6m ▶ Run
ka dispersion -s TSLA,RIVN,NIO,LCID ▶ Run
ka dispersion -s AAPL,MSFT,GOOGL,META,AMZN -output json ▶ Run
ka dispersion -s BTC-USD,ETH-USD,SOL-USD -period 6m ▶ Run
Event Study ?
Multi-symbol event study inspired by Kensho-style analytics. Define conditions on one or more trigger symbols (e.g. TSLA|C>avg(C,50)) and the engine finds every date where ALL conditions fire simultaneously. Then it measures how a basket of target symbols performs around those events: buy N days before, sell M days after. Returns event count, year/month occurrence matrix, average returns, win rate, profit factor, median return, and best/worst trades per symbol. Historical trades table is available on request with -trades flag.
ka event-study -cond "TSLA|C>avg(C,50)" -trade "-2,2" -s TSLA ▶ Run
ka event-study -cond "AAPL|C>avg(C,20),AAPL|V>2*avg(V,20)" -trade "-1,3" -tf 5y -s AAPL,MSFT,GOOGL ▶ Run
ka event-study -cond "SPY|(C-O)/O*100>2" -trade "0,5" -tf 10y -s TSLA,AAPL,NVDA ▶ Run
ka event-study -cond "TSLA|C<avg(C,200)" -trade "-2,10" -tf 3y -s TSLA ▶ Run
ka event-study -cond "SPY|C<avg(C,50),VIX|C>30" -trade "0,5" -sd 2015-01-01 -ed 2025-12-31 -s SPY,QQQ,IWM ▶ Run
ka event-study -cond "AAPL|(H-L)/C*100>3" -trade "-1,1" -trades -tf 2y -s AAPL ▶ Run
ka event-study -cond "IBM|avg(C,20)>avg(C,50),MSFT|avg(C,20)>avg(C,50)" -trade "-3,5" -s IBM,MSFT,AAPL ▶ Run
ka event-study -cond "TSLA|V>3*avg(V,20)" -trade "0,3" -sd 2022-01-01 -s TSLA,RIVN,NIO ▶ Run
ka event-study -cond "GLD|C>avg(C,50),TLT|C>avg(C,50)" -trade "-1,5" -tf 5y -s GLD,TLT,SPY ▶ Run
ka event-study -cond "NVDA|C>avg(C,20)" -trade "-2,5" -sd 2020-01-01 -ed 2025-03-26 -s NVDA,AMD,TSM,AVGO ▶ Run
Tail Risk Analysis ?
Deep tail risk analytics for 1-10 symbols. Computes Value-at-Risk (95/99) using historical, normal, and Cornish-Fisher methods. Includes CVaR/Expected Shortfall, skewness, excess kurtosis, tail ratio, multi-horizon risk (1d/5d/20d), drawdown-at-risk, loss frequency distribution, and the 5 worst historical days, weeks, and months. Shows dollar VaR on a $10k position. Multi-symbol mode adds a comparison table. What's the real downside beyond standard deviation?
ka tail-risk -s TSLA ▶ Run
ka tail-risk -s TSLA,NVDA,SPY ▶ Run
ka tail-risk -s AAPL,MSFT,GOOGL,META,AMZN -tf 3y ▶ Run
ka tail-risk -s SPY -tf 5y ▶ Run
ka tail-risk -s BTCUSD -tf 2y ▶ Run
ka tail-risk -s TSLA -sd 2022-01-01 -ed 2023-12-31 ▶ Run
ka tail-risk -s QQQ,IWM,DIA -tf 1y ▶ Run
ka tail-risk -s NVDA,AMD,TSM,AVGO -tf 3y ▶ Run
ka tail-risk -s GLD,TLT,SPY -tf 5y ▶ Run
ka tail-risk -s TSLA,NVDA,SPY -tf 10y ▶ Run
Signal Decay Analysis ?
Signal decay analysis — after RSI, MACD, MA-cross, Bollinger Band, volume spike, or gap signals fire, what are the forward returns at 1d/3d/5d/10d/20d horizons? Shows hit count, average return, median, win rate, profit factor, t-statistic, and a verdict on whether the signal has statistically significant alpha or is noise. Supports individual signals (rsi, macd, bb, ma, vol, gap) or all at once for comparison. 11 built-in signal types with automatic detection.
ka decay -s TSLA -signal rsi ▶ Run
ka decay -s TSLA -signal all ▶ Run
ka decay -s NVDA -signal macd -tf 3y ▶ Run
ka decay -s AAPL -signal bb ▶ Run
ka decay -s SPY -signal ma -tf 10y ▶ Run
ka decay -s TSLA -signal vol -tf 5y ▶ Run
ka decay -s MSFT -signal gap ▶ Run
ka decay -s QQQ -signal rsi_oversold -tf 5y ▶ Run
ka decay -s TSLA -signal all -sd 2022-01-01 -ed 2024-12-31 ▶ Run
ka decay -s AMD -signal macd_bull -tf 3y ▶ Run
Gap Fade Probability ?
Gap fade probability engine — analyzes every historical gap (up/down) by size category (tiny/small/medium/large/huge) and calculates same-day fill rate, multi-day fill rate, average fill time, continuation %, and average close return. Shows today's gap with a fade/no-fade verdict based on historical fill rate for that gap type. Includes day-of-week fill rates, recent gap history, and a fade strategy guide.
ka gap-fade -s TSLA ▶ Run
ka gap-fade -s NVDA -tf 3y ▶ Run
ka gap-fade -s AAPL -tf 5y ▶ Run
ka gap-fade -s SPY ▶ Run
ka gap-fade -s TSLA -min_gap 1.0 ▶ Run
ka gap-fade -s AMD -tf 2y ▶ Run
ka gap-fade -s QQQ -sd 2022-01-01 ▶ Run
ka gap-fade -s MSFT -tf 10y ▶ Run
ka gap-fade -s BTCUSD -tf 3y ▶ Run
ka gap-fade -s META -sd 2023-01-01 -ed 2025-03-28 ▶ Run
Covariance Matrix ?
Variance-covariance matrix with eigenvalue decomposition for 2-10 symbols. Returns the full covariance matrix, correlation matrix, explained variance by principal components (PCA), diversification ratio, and flags indicating diversification quality. Shows how much of the basket's risk is driven by the first few factors. Essential for portfolio construction, risk budgeting, and understanding concentration risk.
ka covariance -s NVDA,AMD,TSLA,AAPL,MSFT ▶ Run
ka covariance -s SPY,QQQ,GLD,TLT -period 2y ▶ Run
ka covariance -s AAPL,MSFT,GOOGL,META,AMZN -period 1y ▶ Run
ka covariance -s JPM,BAC,WFC,GS -period 1y ▶ Run
ka covariance -s XOM,CVX,COP -period 6m ▶ Run
ka covariance -s TSLA,RIVN,NIO -period 1y ▶ Run
ka covariance -s BTC-USD,ETH-USD,SPY,GLD ▶ Run
ka covariance -s NVDA,AMD,TSLA,AAPL -output json ▶ Run
Copula Tail Dependence ?
Tail dependence analysis via Student-t copula fitting. Pearson correlation misses tail co-movement — this quantifies whether assets crash (or rally) together more than linear correlation implies. Fits t-copula parameters (correlation rho, degrees of freedom nu) via maximum pseudo-likelihood, then computes upper and lower tail dependence coefficients. Compares with Gaussian copula baseline (zero tail dependence). Critical for understanding portfolio risk during market stress.
ka copula -s TSLA,NVDA ▶ Run
ka copula -s AAPL,MSFT,GOOGL,META,AMZN ▶ Run
ka copula -s SPY,GLD,TLT -tf 5y ▶ Run
ka copula -s NVDA,AMD,TSM,AVGO ▶ Run
ka copula -s BTC-USD,ETH-USD,SPY ▶ Run
ka copula -s JPM,BAC,WFC,GS -tf 3y ▶ Run
ka copula -s TSLA,RIVN,NIO -tf 2y ▶ Run
ka copula -s AAPL,MSFT,NVDA,TSLA -output json ▶ Run
Spread Trading Analysis ?
Price ratio tracking between 2-3 symbols for relative value monitoring. Shows ratio mean, current z-score, Bollinger Bands on the ratio, and reversion signals. Simpler than the full pairs command (no cointegration or hedge ratios) — focuses on the raw price ratio with band analysis for quick relative value assessment and spread reversion signals.
ka spread -s TSLA,NVDA ▶ Run
ka spread -s AAPL,MSFT -period 2y ▶ Run
ka spread -s KO,PEP -period 1y ▶ Run
ka spread -s XOM,CVX ▶ Run
ka spread -s GLD,SLV -bb_window 30 ▶ Run
ka spread -s NVDA,AMD -bb_mult 2.5 ▶ Run
ka spread -s SPY,QQQ -period 1y ▶ Run
ka spread -s TSLA,NVDA -output json ▶ Run
Lead-Lag Analysis ?
Cross-correlation at various lags (1-5 days) between all pairs in a basket. Finds predictive relationships: does AMD move before NVDA? Does SPY lead the group or follow? Returns a lead-lag matrix with strongest predictive pairs highlighted, per-pair optimal lag and correlation at that lag, leader/follower ranking (who leads the most pairs), and Granger-style directional score per symbol.
ka lead-lag -s NVDA,AMD,TSLA,AAPL,SPY ▶ Run
ka lead-lag -s SPY,QQQ,IWM,DIA -period 1y ▶ Run
ka lead-lag -s NVDA,AMD,TSM,AVGO -max_lag 3 ▶ Run
ka lead-lag -s TSLA,RIVN,NIO -period 6m ▶ Run
ka lead-lag -s JPM,BAC,WFC,GS -period 1y ▶ Run
ka lead-lag -s BTC-USD,ETH-USD,SPY -period 1y ▶ Run
ka lead-lag -s XOM,CVX,COP,SLB ▶ Run
ka lead-lag -s NVDA,AMD,TSLA,AAPL -output json ▶ Run
Basket Performance Tracker ?
Basket performance tracker computing cumulative equal-weight or custom-weighted basket return over time. Like a mini-fund NAV with daily P&L attribution showing which symbols contributed most and least. Includes rolling Sharpe ratio, max drawdown, best/worst contributor per period, and correlation between basket members. Ideal for tracking thematic baskets, sector groups, or custom portfolios.
ka basket -s AAPL,MSFT,GOOGL,TSLA,NVDA ▶ Run
ka basket -s AAPL,MSFT,GOOGL,TSLA,NVDA -weights 0.3,0.2,0.2,0.15,0.15 ▶ Run
ka basket -s NVDA,AMD,TSM,AVGO,QCOM -period 1y ▶ Run
ka basket -s SPY,QQQ,GLD,TLT -period 2y ▶ Run
ka basket -s TSLA,RIVN,NIO,LCID -period 6m ▶ Run
ka basket -s JPM,BAC,WFC,GS,MS -period 1y ▶ Run
ka basket -s BTC-USD,ETH-USD,SOL-USD -period 6m ▶ Run
ka basket -s AAPL,MSFT,NVDA,TSLA -output json ▶ Run
Signal Dashboard ?
Aggregate technical signal scan across a watchlist. For each symbol: RSI zone (overbought/neutral/oversold), MACD signal (bullish/bearish crossover), MA alignment (bullish/bearish stack), ADX trend strength, and a net signal score. One table showing which names have the most bullish or bearish signal confluence. Ideal for quickly scanning a watchlist to find the strongest and weakest names.
ka signal-dashboard -s TSLA,NVDA,AAPL,MSFT,META ▶ Run
ka signal-dashboard -s NVDA,AMD,TSM,AVGO,QCOM,INTC ▶ Run
ka signal-dashboard -s SPY,QQQ,IWM,DIA,GLD,TLT ▶ Run
ka signal-dashboard -s TSLA,RIVN,NIO,LCID ▶ Run
ka signal-dashboard -s JPM,BAC,WFC,GS,MS,C ▶ Run
ka signal-dashboard -s XOM,CVX,COP,SLB,EOG ▶ Run
ka signal-dashboard -s AAPL,MSFT,GOOGL,META,AMZN,NVDA,TSLA ▶ Run
ka signal-dashboard -s TSLA,NVDA,AAPL,MSFT -output json ▶ Run
Strategy Backtester ?
Expression-based strategy backtester. Define entry and exit conditions using a custom expression language with OHLCV variables (O, H, L, C, V with bar offsets like C[-1]), operators (+, -, *, /, >, <, and, or), and 50+ functions including SMA, EMA, RSI, ATR, MACD, Bollinger Bands, ADX, Stochastic, CCI, crossup/crossdown, and more. Reports total return, win rate, profit factor, max drawdown, Sharpe, and optional trade-by-trade history table.
ka backtest TSLA -entry "crossup(C,sma(C,50))" -exit "crossdown(C,sma(C,50))" ▶ Run
ka backtest AAPL -entry "rsi(C,14)<30" -exit "rsi(C,14)>50" ▶ Run
ka backtest SPY -entry "C>bbupper(C,20,2)" -exit "C<sma(C,20))" -tf 5y ▶ Run
ka backtest NVDA -entry "adx(14)>25 and diplus(14)>diminus(14)" -exit "adx(14)<20" -trades ▶ Run
ka backtest TSLA -entry "C<bblower(C,20,2) and rsi(C,14)<35" -exit "C>sma(C,20)" ▶ Run
ka backtest -s SPY -entry "crossup(sma(C,20),sma(C,50))" -exit "crossdown(sma(C,20),sma(C,50))" -tf 10y ▶ Run
ka backtest QQQ -entry "C>highest(H,20)" -exit "C<lowest(L,10)" ▶ Run
ka backtest -s TSLA -entry "stochk(14,3)<20" -exit "stochk(14,3)>80" -output json ▶ Run
Factor Exposure Analysis ?
Multi-factor exposure analysis for 1-10 symbols across five dimensions: Momentum (3m/6m/12m returns, RSI, relative strength), Value (P/E, P/B, EV/EBITDA, dividend yield), Quality (ROE, net margin, operating margin, debt/equity), Size (market cap, rank within group), and Volatility (annualized vol, beta proxy, max drawdown). Scores each factor 1-5 within the group (quintile rank), computes a composite score, and shows a factor radar profile.
ka factor -s TSLA,NVDA,AAPL,MSFT,META ▶ Run
ka factor -s SPY,QQQ,IWM,DIA ▶ Run
ka factor -s JPM,BAC,WFC,GS,MS ▶ Run
ka factor -s NVDA,AMD,TSM,AVGO,QCOM ▶ Run
ka factor -s AAPL,MSFT,GOOGL,AMZN ▶ Run
ka factor -s XOM,CVX,COP,SLB ▶ Run
ka factor -s TSLA,RIVN,NIO,LCID ▶ Run
ka factor -s AAPL,MSFT,NVDA,TSLA -output json ▶ Run
Composite Quantitative Ranking ?
Ranks 2-20 symbols across 6 quantitative dimensions: Momentum (3m/6m/12m returns), Quality (Sharpe, Sortino), Risk (max drawdown, volatility), Trend (ADX, MA alignment), Mean-Reversion (z-score distance from mean), and Volume (relative volume, OBV trend). Each dimension scored 0-100 within the peer group and weighted into a composite score. Outputs a ranked leaderboard for systematic screening and selection.
ka rank -s NVDA,AMD,TSM,AVGO,QCOM,INTC ▶ Run
ka rank -s AAPL,MSFT,GOOGL,META,AMZN,NVDA,TSLA ▶ Run
ka rank -s SPY,QQQ,IWM,DIA,GLD,TLT ▶ Run
ka rank -s JPM,BAC,WFC,GS,MS,C ▶ Run
ka rank -s XOM,CVX,COP,SLB,EOG ▶ Run
ka rank -s TSLA,RIVN,NIO,LCID,F,GM ▶ Run
ka rank -s AAPL,MSFT,NVDA,TSLA -tf 2y ▶ Run
ka rank -s NVDA,AMD,TSM,AVGO -output json ▶ Run
Monte Carlo Simulation ?
Monte Carlo price simulation generating N forward paths based on historical return distribution fitted to a Student-t distribution (captures fat tails). Returns median projected price, 5th and 95th percentile cone, probability of hitting a target price by the horizon, and expected price distribution at horizon. Configurable simulation count, horizon, and target price. Useful for probabilistic price forecasting and position sizing.
ka montecarlo TSLA ▶ Run
ka montecarlo AAPL -horizon 120 ▶ Run
ka montecarlo NVDA -target 200 ▶ Run
ka montecarlo -s SPY -horizon 252 ▶ Run
ka montecarlo MSFT -n_sims 5000 ▶ Run
ka montecarlo BTC-USD -horizon 90 ▶ Run
ka montecarlo -s TSLA -horizon 60 -target 400 ▶ Run
ka montecarlo -s NVDA -output json ▶ Run
Return Distribution ?
Return distribution deep-dive with daily, weekly, or monthly frequency. Includes histogram with normal overlay comparison, skewness, kurtosis, Jarque-Bera normality test, fat tail analysis (% beyond ±1/2/3 sigma vs normal expectation), empirical VaR and CVaR at 95/99%, best/worst return deciles, and rolling skewness/kurtosis trend. Quantifies whether returns are normal or fat-tailed — critical for position sizing and risk models.
ka histogram TSLA ▶ Run
ka histogram AAPL -period 2y ▶ Run
ka histogram NVDA -freq weekly ▶ Run
ka histogram -s SPY -period 5y ▶ Run
ka histogram MSFT -freq monthly ▶ Run
ka histogram BTC-USD -period 3y ▶ Run
ka histogram -s TSLA -period 1y -freq daily ▶ Run
ka histogram -s NVDA -output json ▶ Run
Browse Agents ?
Browse and search all 200+ specialized financial agents. Filter by category or search by keyword. Each agent has a unique expertise, analysis workflow, and communication style.
ka agents ▶ Run
ka agents -category Trading ▶ Run
ka agents -category Retail ▶ Run
ka agents -search "swing trader" ▶ Run
ka agents -search crypto ▶ Run
ka agents -category Research ▶ Run
ka agents -category Risk ▶ Run
Agent Analysis ?
Activate a specialized financial agent to analyze a symbol. Each agent has a unique persona, expertise, analytical lens, and output format. The agent auto-runs its priority commands, feeds the data to an LLM, and delivers structured analysis through its specialized lens. Run without arguments to see available agents.
ka agent ▶ Run
ka agent swing-trader-technical -s TSLA ▶ Run
ka agent swing-trader-technical -s NVDA ▶ Run
ka agent swing-trader-technical -s SPY ▶ Run
ka agent swing-trader-technical -s AAPL ▶ Run
Agent Chat ?
Free-form chat with a specialized financial agent. Ask any question and the agent responds through its unique expertise lens. Automatically detects symbols in your message and runs relevant analysis commands. Provide -agent to select the persona.
ka agent-chat -agent swing-trader-technical -q "Is TSLA a good swing trade right now?" ▶ Run
ka agent-chat -agent swing-trader-technical -q "What setups do you see in NVDA?" -s NVDA ▶ Run
ka agent-chat -agent swing-trader-technical -q "Should I buy this dip in AAPL?" ▶ Run
ka agent-chat -agent swing-trader-technical -q "Where do I put my stop on TSLA?" -s TSLA ▶ Run
Intraday Price Data ?
Intraday OHLCV price data with computed EMA(9/20/50), RSI(14), and MACD indicators. Returns a session summary (open, high, low, current, change %, volume) plus a recent bar table. Supports multiple timeframes: 1min, 5min, 15min, 30min, 1hour, 4hour. Essential for day traders monitoring live price action and intraday technical signals.
ka intraday TSLA ▶ Run
ka intraday AAPL -tf 1min ▶ Run
ka intraday NVDA -tf 15min ▶ Run
ka intraday -s SPY -tf 5min ▶ Run
ka intraday MSFT -tf 30min ▶ Run
ka intraday -s TSLA -tf 1min -bars 100 ▶ Run
ka intraday QQQ -tf 5min ▶ Run
ka intraday -s NVDA -output json ▶ Run
Intraday VWAP Analysis ?
Volume-Weighted Average Price (VWAP) analysis anchored to the session start. Computes VWAP with +/- 1 and 2 standard deviation bands, price deviation from VWAP (% and $), VWAP slope direction (rising/flat/falling), and band position label (above/below/at VWAP). Essential for institutional-style execution and VWAP-based trading strategies.
ka intraday-vwap TSLA ▶ Run
ka intraday-vwap AAPL -tf 1min ▶ Run
ka intraday-vwap NVDA -tf 5min ▶ Run
ka intraday-vwap -s SPY ▶ Run
ka intraday-vwap MSFT -tf 15min ▶ Run
ka intraday-vwap -s TSLA -output json ▶ Run
ka intraday-vwap QQQ ▶ Run
ka intraday-vwap AMD -tf 5min ▶ Run
Opening Range Breakout ?
Computes the Opening Range High (ORH) and Opening Range Low (ORL) from the first N minutes of the most recent session (default 30 min). Reports breakout or breakdown status, extension percentage beyond the range, measured-move targets at 1x and 2x range, ATR comparison to gauge range significance, and session progress. A core setup for opening range breakout (ORB) day trading strategies.
ka intraday-opening-range TSLA ▶ Run
ka intraday-opening-range AAPL -period 15 ▶ Run
ka intraday-opening-range NVDA -tf 1min -period 30 ▶ Run
ka intraday-opening-range -s SPY ▶ Run
ka intraday-opening-range MSFT -period 60 ▶ Run
ka intraday-opening-range -s TSLA -output json ▶ Run
ka intraday-opening-range QQQ ▶ Run
ka intraday-opening-range AMD -period 15 -tf 1min ▶ Run
Intraday Relative Volume ?
Intraday Relative Volume (RVOL) comparing today's volume to the historical average at the same time of day across recent sessions. Reports per-bar RVOL, cumulative RVOL for the session, projected daily volume, volume trend classification (extremely high/high/normal/low), and RVOL acceleration. Identifies unusual intraday activity signaling institutional accumulation or distribution.
ka intraday-relative-volume TSLA ▶ Run
ka intraday-relative-volume AAPL -tf 5min ▶ Run
ka intraday-relative-volume NVDA -tf 1min ▶ Run
ka intraday-relative-volume -s SPY ▶ Run
ka intraday-relative-volume MSFT ▶ Run
ka intraday-relative-volume -s TSLA -output json ▶ Run
ka intraday-relative-volume QQQ ▶ Run
ka intraday-relative-volume GME ▶ Run
Intraday Support & Resistance ?
Identifies key intraday support and resistance levels from multiple independent sources: VWAP +/- 1-2 sigma bands, today's session high/low, previous session close/high/low, intraday swing pivots, and volume node clusters. All levels are merged, labeled SUPPORT or RESISTANCE relative to the current price, and ranked by proximity. Essential for intraday entry/exit and stop placement.
ka intraday-levels TSLA ▶ Run
ka intraday-levels AAPL -tf 5min ▶ Run
ka intraday-levels NVDA -n_levels 10 ▶ Run
ka intraday-levels -s SPY ▶ Run
ka intraday-levels MSFT -tf 1min -swing_lb 5 ▶ Run
ka intraday-levels -s TSLA -output json ▶ Run
ka intraday-levels QQQ ▶ Run
ka intraday-levels AMD -tf 5min ▶ Run
Intraday Regime Detection ?
Detects the current intraday market regime using five components: ADX + DI+/DI- for trend strength and direction, R-squared of close price for trend linearity, ATR ratio for volatility context, VWAP cross count (high = mean-reverting), and HH/HL consistency for uptrend bars. Primary regimes: TRENDING_UP, TRENDING_DOWN, RANGING, MEAN_REVERTING. Volatility overlay: HIGH_VOL, NORMAL_VOL, LOW_VOL. Guides strategy selection in real time.
ka intraday-regime TSLA ▶ Run
ka intraday-regime AAPL -tf 5min ▶ Run
ka intraday-regime NVDA -tf 1min ▶ Run
ka intraday-regime -s SPY ▶ Run
ka intraday-regime MSFT -adx_period 10 ▶ Run
ka intraday-regime -s TSLA -output json ▶ Run
ka intraday-regime QQQ ▶ Run
ka intraday-regime AMD -tf 15min ▶ Run
Intraday Volume Profile ?
Builds a volume-by-price profile from today's intraday session bars. Identifies POC (Point of Control — highest volume price), VAH/VAL (Value Area High/Low — 70% of volume range), HVN (High Volume Nodes — key clusters), and LVN (Low Volume Nodes — breakout acceleration zones). Shows current price position vs profile (above/inside/below value area), balance/imbalance assessment, and an ASCII histogram visualization.
ka intraday-volume-profile TSLA ▶ Run
ka intraday-volume-profile AAPL -tf 5min ▶ Run
ka intraday-volume-profile NVDA -n_bins 40 ▶ Run
ka intraday-volume-profile -s SPY ▶ Run
ka intraday-volume-profile MSFT -tf 1min ▶ Run
ka intraday-volume-profile -s TSLA -output json ▶ Run
ka intraday-volume-profile QQQ ▶ Run
ka intraday-volume-profile AMD -tf 5min ▶ Run
Pre-Market Analysis ?
Pre-market gap analysis and level mapping. Shows current pre-market price, previous session stats (close, high, low, VWAP, range), gap size ($ and %), gap classification (FULL_GAP_UP, FULL_GAP_DOWN, PARTIAL, NO_GAP), gap vs daily ATR ratio to gauge significance, and key levels including gap fill target, previous high/low, and extension targets. Includes strategy implications per gap type.
ka intraday-premarket TSLA ▶ Run
ka intraday-premarket AAPL ▶ Run
ka intraday-premarket NVDA ▶ Run
ka intraday-premarket -s SPY ▶ Run
ka intraday-premarket MSFT ▶ Run
ka intraday-premarket -s TSLA -output json ▶ Run
ka intraday-premarket QQQ ▶ Run
ka intraday-premarket AMD ▶ Run
Intraday Screener ?
Screens multiple symbols using live intraday data with filterable metrics: change_pct (open-to-current), range_pct (high-low as % of low), gap_pct (gap from previous close), rvol (relative volume), rsi, adx, vwap_dev (% deviation from VWAP), vwap_pos (ABOVE/BELOW/AT), and cumulative volume. Supports custom filter expressions (e.g. 'change_pct > 1 AND rvol > 1.5') and sorting. Ideal for finding the most active stocks intraday.
ka intraday-screener -s TSLA,NVDA,AAPL,MSFT,META ▶ Run
ka intraday-screener -s TSLA,NVDA,AAPL,AMD,GOOGL -filter "rvol > 1.5" ▶ Run
ka intraday-screener -s SPY,QQQ,IWM,DIA -sort change_pct ▶ Run
ka intraday-screener -s TSLA,NVDA,AMD,AVGO -filter "change_pct > 1 AND rvol > 1.5" ▶ Run
ka intraday-screener -s AAPL,MSFT,GOOGL,META,AMZN -tf 5min ▶ Run
ka intraday-screener -s TSLA,RIVN,NIO,LCID -sort rvol -sortorder desc ▶ Run
ka intraday-screener -s NVDA,AMD,TSM,AVGO -filter "vwap_pos = ABOVE" ▶ Run
ka intraday-screener -s AAPL,MSFT,NVDA,TSLA -output json ▶ Run
Economic Calendar ?
Upcoming and recent economic data releases: CPI, Non-Farm Payrolls, PMI, GDP, FOMC decisions, and more with consensus estimates. Shows event name, date/time, country, importance level (high/medium/low), previous value, consensus forecast, and actual result (when released). Filterable by country and importance. Essential for macro traders and anyone who needs to manage event risk.
ka economic-calendar ▶ Run
ka economic-calendar -days 7 ▶ Run
ka economic-calendar -country US ▶ Run
ka economic-calendar -importance high ▶ Run
ka economic-calendar -country US -importance high ▶ Run
ka economic-calendar -days 30 ▶ Run
ka economic-calendar -country US -days 7 ▶ Run
ka economic-calendar -output json ▶ Run
Treasury Yield Curve ?
US Treasury yield curve across all maturities (1M, 3M, 6M, 1Y, 2Y, 3Y, 5Y, 7Y, 10Y, 20Y, 30Y). Shows current rates, historical comparison, 2Y/10Y spread (inversion detection), and curve shape classification (normal, flat, inverted). Tracks yield curve changes over a configurable window. A foundational macro indicator — inversion historically signals recession risk.
ka yield-curve ▶ Run
ka yield-curve -days 90 ▶ Run
ka yield-curve -days 30 ▶ Run
ka yield-curve -days 365 ▶ Run
ka yield-curve -output json ▶ Run
ka yield-curve -days 7 ▶ Run
ka yield-curve -days 180 ▶ Run
ka yield-curve -days 60 ▶ Run
TIPS Breakeven Inflation ?
TIPS breakeven inflation rates derived from Treasury nominal yields minus TIPS real yields. Shows inflation expectations embedded in the bond market across maturities. Breakeven = Nominal Yield - Real Yield. Rising breakevens signal higher expected inflation; falling breakevens signal disinflation expectations. A key input for real return analysis, TIPS allocation, and macro regime assessment.
ka breakevens ▶ Run
ka breakevens -days 90 ▶ Run
ka breakevens -days 30 ▶ Run
ka breakevens -days 365 ▶ Run
ka breakevens -output json ▶ Run
ka breakevens -days 180 ▶ Run
ka breakevens -days 7 ▶ Run
ka breakevens -days 60 ▶ Run
Market Movers ?
Pre-defined market mover reports: top gainers, top losers, most active by volume, highest momentum, and more across configurable timeframes (1d, 1w, 1m, 3m, 6m, YTD, 1y). Filterable by exchange (NASDAQ, NYSE), sector, asset class (EQUITY, ETF, crypto, forex), and currency. Use 'ka movers list' to see all available report types. Ideal for daily market scanning and finding actionable names.
ka movers top-gainers ▶ Run
ka movers top-losers ▶ Run
ka movers most-active ▶ Run
ka movers top-gainers -tf 1w ▶ Run
ka movers top-gainers -exchange NASDAQ ▶ Run
ka movers top-gainers -sector Technology ▶ Run
ka movers list ▶ Run
ka movers top-gainers -tf 1m -output json ▶ Run

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