Finml Toolkit

MCP Tools

A curated list of practical financial machine learning tools and applications. financial machine learning, python, algorithmic-trading, cryptocurrency.

Install

openclaw skills install finml-toolkit

FinML Toolkit

A utility toolkit for logging, tracking, and managing financial ML operations. Each command records timestamped entries to its own log file for auditing and review.

Commands

Core Operations

Command	Description
`run <input>`	Log a run entry (view recent entries if no input given)
`check <input>`	Log a check entry for verification tasks
`convert <input>`	Log a convert entry for format conversion tasks
`analyze <input>`	Log an analyze entry for analysis tasks
`generate <input>`	Log a generate entry for generation tasks
`preview <input>`	Log a preview entry for preview tasks
`batch <input>`	Log a batch entry for batch processing tasks
`compare <input>`	Log a compare entry for comparison tasks
`export <input>`	Log an export entry for export tasks
`config <input>`	Log a config entry for configuration tasks
`status <input>`	Log a status entry for status tracking
`report <input>`	Log a report entry for reporting tasks

Utility Commands

Command	Description
`stats`	Show summary statistics across all log files
`export <fmt>`	Export all data in json, csv, or txt format
`search <term>`	Search all log entries for a term (case-insensitive)
`recent`	Show the 20 most recent entries from history
`status`	Health check — version, data dir, entry count, disk usage
`help`	Show available commands
`version`	Show version (v2.0.0)

Data Storage

All data is stored in ~/.local/share/finml-toolkit/:

Each command writes to its own log file (e.g., run.log, check.log, analyze.log)
All actions are also recorded in history.log with timestamps
Export files are written to the same directory as export.json, export.csv, or export.txt
Log format: YYYY-MM-DD HH:MM|<input> (pipe-delimited)

Requirements

Bash (no external dependencies)
Works on Linux and macOS

When to Use

When you need to log and track financial ML operations over time
To maintain an audit trail of run, check, convert, analyze, or generate actions
When you want to search or export historical operation records
For batch tracking of ML processing pipelines
To compare and report on financial data processing tasks
When managing configurations for finml workflows

Examples

# Log operations
finml-toolkit run "backtest strategy alpha-3"
finml-toolkit check "validate portfolio weights"
finml-toolkit convert "csv to parquet format"
finml-toolkit analyze "correlation matrix on sector data"
finml-toolkit generate "monthly performance report"
finml-toolkit batch "process all Q4 earnings files"
finml-toolkit compare "strategy A vs strategy B returns"
finml-toolkit config "set risk_threshold=0.05"

# View recent entries for a command (no args)
finml-toolkit run
finml-toolkit analyze

# Search and export
finml-toolkit search "portfolio"
finml-toolkit export json
finml-toolkit stats
finml-toolkit recent
finml-toolkit status

Configuration

Set FINML_TOOLKIT_DIR environment variable to change the data directory. Default: ~/.local/share/finml-toolkit/

Output

All commands output to stdout. Redirect with finml-toolkit run > output.txt.