CLI
MACK-CALI REALTY CORP
stock NYSE

[https://github.com/Mosaic-agent/Mosaic-fund-agent](https://github.com/Mosaic-agent/Mosaic-fund-agent)
following command currently works without llm
### 1. Data Ingestion & Configuration (Pure ETL/System)
• import — Import historical market data (stocks, ETFs, MF NAV, commodities, indices, or AMC disclosures) into ClickHouse.
• config — Display current non-sensitive configuration settings.
• telemetry — Display live system telemetry dashboard.
### 2. Market Scanners, Alerts & Reports (Non-LLM/Deterministic)
• signals — Combine macro, news, valuation, flow, ML, and anomaly signals into a unified per-ETF composite score.
• macro — Scan live macro & geopolitical events and map them to ETF impact.
• macro-themes — Run the long/short macro themes engine (uses Google News RSS + Yahoo Finance prices, no LLM required). Defined in
macro_theme_agent.py.
• comex — Run COMEX commodity pre-market signal analysis (Gold/Silver/Copper).
• premium-alerts — Scarcity Premium Alerts for international ETFs (MAFANG, HNGSNGBEES, etc.).
• scan-setups — Scan all 18 tracked ETFs for volume-volatility setups.
• scan-trends — Scan all 18 tracked ETFs for short, medium, and long term trend status.
• etf-news — Fetch free news that can impact Indian ETFs.
### 3. Quantitative Sizing, Models & Backtesting (Mathematical)
• risk — Adaptive Kelly position sizing — blends LightGBM forecast with GARCH Risk Governor.
• drift-monitor — Monitor GOLDBEES ML prediction model drift (evaluates hit ratios, directional accuracy, and AUC over time).
• crossover — Run a Moving Average Crossover backtest (SMA/EMA) for a stock or ETF.
• correlate — Map stock anomalies to company filings and global macro trigger events (uses purely mathematical filters and event mappings).
Defined in correlation_tools.py.
### 4. Dashboards & Services (Port Listeners)
• ui — Launch the Mosaic Data Hub web UI (Streamlit server at :8501 ).
• studio — Launch the Mosaic Studio workspace React UI (runs on :8502 ).
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All commands are declared in the CLI entry point file main.py.
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### Summary of Work Done
1. Inspected main.py command imports and verified that commands like news , ask , chat , analyze , deepdive , research , and
portfolio-wf utilize LLM agents or LangGraph synthesis steps.
2. Verified that scripts like macro_theme_agent.py and correlation_tools.py contain no LLM components.
3. Formulated and presented the filtered list of non-LLM CLI commands.

Kroger is the only grocery store I know with a coherent public API.
I have literally built automation / a [CLI](https://github.com/VargasDevelopment/kroget) on top of it to make my life easier.
Weirdly this makes sense to me. They're more savvy than they project.