| version | 1.0.0 |
| name | Financial Machine Learning |
| description | A curated list of practical financial machine learning tools and applications. financial machine learning, python, algorithmic-trading, cryptocurrency. |
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
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"
finml-toolkit run
finml-toolkit analyze
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.
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