Strategy Management.Run a desk of one thousand.
Tag, version, promote, and monitor every strategy from draft to live deployment. Six lifecycle states, git-style lineage, real-time IC and drawdown alerts. One workbench, no spreadsheet.
The desk at a glance.
Every strategy in your universe, counted, sorted, and observable. The numbers a portfolio manager would ask for, on the home screen.
From last week's drafts to year-old live veterans. One workbench, every state.
Draft, backtesting, paper, live, paused, archived. A clean promotion path, with no "it lives in a notebook".
Composed into the alpha factory, monitored for IC and drawdown in real time.
Roll back to any tagged commit, branch a variant, compare equity curves.
Anatomy of a managed strategy.
Every strategy carries the same metadata, the same lineage, the same state machine. Boring, in the best possible way.
Git-style versioning, built in.
Every parameter change is a commit. Branch a variant, compare equity curves, roll back to a tagged version. No more strat_v2_FINAL_final2.py.
Six states, one promotion path.
Every strategy lives in exactly one state. Gates enforce promotion criteria, so you don't accidentally take a half-tested draft live because the row caught your eye in the wrong tab.
Live IC, Sharpe, drawdown, all streamed.
Every live strategy publishes its metrics to the dashboard and to your webhook. Set drawdown thresholds; auto-pause anything that breaches; ping Slack when something interesting happens.
Find any strategy in three keystrokes.
Tag by family, instrument, regime, model, whatever your taxonomy demands. Pin folders for research vs production. Full-text search over names, descriptions, and parameter values.
Why this beats a folder of .py files.
Most quants manage their universe in a directory tree, a spreadsheet, and willpower. That works for ten strategies. It does not work for a thousand.
strat_v2_FINAL_final2.pyManaging scale is not a tooling luxury. It is the entire job. A signal factory without a workbench is just a graveyard. Strategy Management is the workbench.
Three steps from idea to live.
No state machine to memorise, no Confluence page to consult. The promotion path is the same for every strategy, and it is visible right in the row.
Organise the universe as it grows.
Tag by family, instrument, regime, or any taxonomy you invent. Folders for research vs production. Full-text search across descriptions, parameters, and lineage notes.
Move through the six states.
Draft → backtesting → paper → live, with explicit gates. Set a paper-trade minimum (say, 30 days) before live is even an option. Every transition is reversible and logged.
Watch what runs. Kill what dies.
Live IC, Sharpe, drawdown, and hit-rate, streamed off the engine and alerted via webhook. The strategy that earned a slot keeps it only as long as the numbers say so.
The dashboard, in full.
Every strategy in your universe, in one view. Filter by state, tag, family, owner. Click any row to open the full detail pane: versions, equity curve, parameter history, audit log.
Go deeper.
Two threads to pull on next: read the playbook library these strategies are forked from, or learn the indicator math underneath.
23 strategies, read-first.
Every strategy in your dashboard starts as a fork of one of these. Read the playbook once, then watch the variations multiply across your universe.
Browse the playbook →38 indicators in full mathematical form.
The primitives every managed strategy is built from. Formula, visual, edge cases, reference code. The math under your dashboard rows.
Read the indicators reference →Run a desk of your own.
The free tier ships with the C++23 engine, the full Strategy Management workbench, and YFinance + Dukascopy data. Six-state lifecycle, git-style versioning, and alerts, all from one strategy.
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