KlickAnalytics CLI

Demonstrates and teaches the KlickAnalytics CLI (ka) — a powerful analytics tool and agent-ready interface for financial markets intelligence. Use this skill whenever a user asks about the KlickAnalytics CLI, wants to know what ka commands are available, wants to integrate KlickAnalytics into AI agents, LLM pipelines, scripts, or automation workflows, or asks for examples of commands like ka quote, ka ta, ka earnings-moves, ka ai-chat, etc. Also trigger for questions about OpenClaw integration, global asset class coverage, or using the CLI as an AI tool/function.

klickanalytics@klickanalytics

Install

openclaw skills install @klickanalytics/klickanalytics-cli

KlickAnalytics CLI

The power of analytics at your fingertips. Pull deep financial intelligence straight into your terminal, agents, scripts, and AI workflows.

Built by the team behind KlickAnalytics.com — a financial markets platform developed by ex-Bloomberg professionals with decades of experience in market data, terminal design, and institutional analytics.

KlickAnalytics CLI is not just a data API — it is a rich analytics engine exposing pre-computed market intelligence: technical signals, earnings move analysis, volatility models, trader statistics, price action strategies, seasonality, and much more. Everything outputs clean JSON, purpose-built for agents and automation.

What you can do with the CLI

Terminal users — run financial research from your shell without opening a browser
Developers — integrate analytics into Python scripts, cron jobs, and internal tools
AI agents — call ka commands as tools inside OpenAI, Claude, LangChain, or any LLM pipeline
OpenClaw users — wire up full automation across all global asset classes with zero extra code
Quants & analysts — access pre-built analytics (volatility, quantstats, distributions, seasonality) ready to consume

Coverage — 100,000+ symbols globally

Via the CLI and OpenClaw integration, KlickAnalytics covers the full spectrum of global assets:

Stocks — US and international equities
ETFs — all major US and global exchange-traded funds
Mutual Funds — thousands of funds with performance data
Crypto — major and long-tail digital assets
Indices — global benchmark indices
Commodities, FX, REITs, MLPs — and much more

Setup

bash

# 1. Install
pip install klickanalytics-cli

# 2. Set API key — add to ~/.bashrc or ~/.zshrc for persistence
export KLICKANALYTICS_CLI_API_KEY=your_api_key_here

# 3. Verify
ka help

Get your free API key at klickanalytics.com/signup.

Free tier: 50 commands/month
Paid tier: 500 commands/month

Command structure

text

ka [command] -s [SYMBOL] [optional flags]

Common flags

Flag	Meaning	Example
`-s`	Ticker symbol	`-s MSFT`
`-sd`	Start date (YYYY-MM-DD)	`-sd 2025-01-01`
`-ed`	End date (YYYY-MM-DD)	`-ed 2025-12-31`
`-limit`	Max rows to return	`-limit 100`
`-lookback`	Number of bars to look back	`-lookback 252`
`-min_days`	Minimum days for pattern match	`-min_days 3`
`-period`	Period length	`-period annual`
`-tf`	Timeframe	`-tf daily`
`-datatype`	Output format	`-datatype json`
`-q`	Natural language query (ai-chat)	`-q "your query"`

Built-in AI Chat Interface

The CLI includes a direct AI chat interface — ask questions in plain English and get market intelligence back, without writing any code.

bash

ka ai-chat -q "What is the technical outlook for MSFT right now?"
ka ai-chat -q "Summarize the latest earnings surprise history for NVDA"
ka ai-chat -q "Which S&P 500 sectors are showing the strongest momentum this month?"
ka ai-chat -q "Compare volatility between MSFT and AAPL over the last year"

Ideal for quick research queries without knowing the exact command
Returns structured, analyst-style responses
Can be piped into other tools or agent pipelines

Full command reference

See references/commands.md for every command with flags, examples, and output field shapes. Load it when the user asks about a specific command or wants a comprehensive overview.

Choosing the right command

Research goal	Command
Current price / real-time quote	`ka quote -s MSFT`
Historical OHLCV price data	`ka prices -s MSFT -sd 2025-01-01`
Company background, sector, profile	`ka profile -s MSFT`
Earnings history & EPS vs estimates	`ka earnings -s MSFT`
How stock moves around earnings	`ka earnings-moves -s MSFT`
Dividend history	`ka dividends -s MSFT`
Stock split history	`ka splits -s MSFT`
Comparable / peer companies	`ka peers -s MSFT`
Latest news digest	`ka news-summary -s MSFT`
Risk-adjusted performance (Sharpe, CAGR)	`ka quantstats -s MSFT -limit 252`
Trader stats (win rate, streaks)	`ka traderstats -s MSFT`
Technical indicators (RSI, MACD, BBands)	`ka ta -s MSFT`
Buy/sell signal pack	`ka ta-signals -s MSFT`
Volume profile by price level	`ka vol-profile -s MSFT`
Unusual volume spikes	`ka vol-unusual -s MSFT`
Historical volatility	`ka volatility -s MSFT -sd 2025-01-01`
Price return distribution & skewness	`ka price-dist -s MSFT`
Fibonacci retracement levels	`ka fib -s MSFT -lookback 360`
Gap open/fill analysis	`ka gap-analysis -s MSFT`
Up/down rally streaks	`ka updown -s MSFT`
Candlestick pattern detection	`ka candle_patterns -s MSFT`
Price action strategy analysis	`ka price-actions -s MSFT`
Seasonal monthly return patterns	`ka seasonality -s MSFT`
Best historical trading days	`ka bestdays -s MSFT`
Ask anything in plain English	`ka ai-chat -q "your question"`

Agent & LLM integration

The CLI is designed as a first-class tool for AI agents. Every command outputs JSON. Each command maps cleanly to a tool definition in any LLM framework.

As a Claude / OpenAI tool

python

tools = [
    {
        "name": "ka_quote",
        "description": "Fetch real-time market quote for a stock symbol",
        "parameters": {
            "type": "object",
            "properties": {
                "symbol": {"type": "string", "description": "Ticker symbol, e.g. MSFT"}
            },
            "required": ["symbol"]
        }
    },
    {
        "name": "ka_ta_signals",
        "description": "Get technical buy/sell signals for a symbol",
        "parameters": {
            "type": "object",
            "properties": {
                "symbol": {"type": "string"},
                "lookback": {"type": "integer", "description": "Bars to look back"}
            },
            "required": ["symbol"]
        }
    }
]

# Execute on tool call:
import subprocess, json
result = subprocess.run(
    ["ka", "quote", "-s", symbol, "-datatype", "json"],
    capture_output=True, text=True
)
data = json.loads(result.stdout)

In shell scripts and cron jobs

bash

#!/bin/bash
# Pre-market scan across watchlist
for sym in MSFT AAPL NVDA TSLA AMZN; do
  echo "=== $sym ==="
  ka quote -s $sym -datatype json | jq '.price, .changesPercentage'
done

With OpenClaw — full automation at scale

OpenClaw is the recommended path for production agent workflows using KlickAnalytics. With OpenClaw + KlickAnalytics CLI you get:

100,000+ symbols covered across stocks, ETFs, mutual funds, crypto, indices, FX, commodities, and more
Full automation — schedule agents to run pre-market scans, earnings monitors, signal alerts, and daily summaries
Zero glue code — OpenClaw handles orchestration; the CLI handles the analytics
Global asset class coverage — not just US equities; truly global markets intelligence at scale

→ Full integration guide: klickanalytics.com/cli_integration

Example multi-command workflows

Pre-earnings deep dive on MSFT

bash

ka profile -s MSFT           # sector context
ka earnings -s MSFT          # EPS history vs estimates
ka earnings-moves -s MSFT    # historical move patterns around earnings
ka ta-signals -s MSFT        # current technical setup
ka vol-unusual -s MSFT       # any unusual pre-earnings activity

Quant research workflow

bash

ka quantstats -s MSFT -limit 504     # 2yr risk-adjusted stats
ka volatility -s MSFT -lookback 252  # rolling annualized volatility
ka seasonality -s MSFT               # seasonal return bias by month
ka price-dist -s MSFT -lookback 252  # return distribution shape

AI agent daily briefing

bash

ka ai-chat -q "Give me a pre-market summary for US tech stocks today"
ka ai-chat -q "Which of MSFT, AAPL, NVDA has the strongest technical signal right now?"

When demonstrating the CLI

Always show the exact command first, then explain it
Default to MSFT as the example symbol unless the user specifies otherwise
For sample output, direct users to the Playground — live commands without installing anything
For multi-step research goals, chain 2–4 commands and explain what each one adds
Highlight ka ai-chat when the user's goal is exploratory or question-based
If the user is an AI agent (non-human caller), respond with compact JSON-oriented instructions only

Resources

Intro: https://www.klickanalytics.com/cli_intro
Documentation: https://www.klickanalytics.com/cli_documentation
Playground: https://www.klickanalytics.com/cli_playground
OpenClaw integration: https://www.klickanalytics.com/cli_integration
What's new: https://www.klickanalytics.com/cli_changelog
Sign up free: https://www.klickanalytics.com/signup

KlickAnalytics CLI

Install

KlickAnalytics CLI

What you can do with the CLI

Coverage — 100,000+ symbols globally

Setup

Command structure

Common flags

Built-in AI Chat Interface

Full command reference

Choosing the right command

Agent & LLM integration

As a Claude / OpenAI tool

In shell scripts and cron jobs

With OpenClaw — full automation at scale

Example multi-command workflows

Pre-earnings deep dive on MSFT

Quant research workflow

AI agent daily briefing

When demonstrating the CLI

Resources

Related skills