How TensorAlgo works
TensorAlgo supports a structured workflow for creating trading rules, monitoring market conditions, reviewing trade activity, and analyzing recorded results.
1. Build or acquire a Playbook
A Playbook contains the market, strategy conditions, trade-management settings, and other configuration needed to monitor a trading idea.
Users can:
- create a Playbook manually;
- use AI Playbook Builder to create a complete Playbook with one supported strategy;
- rent or purchase an eligible Playbook from the Marketplace.
An AI-generated Playbook can be saved immediately or saved and activated when validation passes. After saving, the user can edit it and add more strategies up to the account's plan limits.
2. Activate the Playbook
An active Playbook monitors supported market data for its configured conditions.
The number of Playbooks and strategies that can be active at the same time depends on the account's current plan limits.
3. Review setups and trade activity
When the configured conditions are met, TensorAlgo can surface the resulting setup and lifecycle information through dashboard features such as Playbook cards, Trade Tape, and Trade History.
4. Analyze saved results
Trade Intelligence Center provides deterministic performance analytics without requiring AI credits.
Users can optionally run an AI-powered analysis for a more detailed review. AI-powered actions use AI credits according to the current account and credit rules.
The platform is designed for review and process discipline. Market context and past results do not guarantee future performance.
