AI-Assisted Trading Workflow Platform

Structure your trading.
Execute with intelligence.

TensorAlgo helps traders structure their own decision workflows using scenario conditions, risk guardrails, and AI-assisted market context summaries.

Software platform only. No financial advice, trade recommendations, or guaranteed outcomes.
TensorExec Engine
User-Defined Execution Context
WORKFLOW ACTIVE
Market StateData shows open interest concentration below VWAP
Scenario Continuation scenario defined if VWAP reclaim is observed with increased volume
Guardrail User-defined rule: avoid entries near resistance cluster until liquidity sweep is observed
Next Step Await user-defined confirmation conditions

From idea to structured workflow.

TensorAlgo is not a signal service or financial advisor. It provides a structured system for building, managing, and refining your own trading workflows by organizing complex market data into clear, user-defined frameworks - built, reviewed, and controlled entirely by you.

Scenario Framework

Organize market conditions into contextual scenarios with transparent data factors so your decision criteria remain consistent, structured, and reviewable across every session.

Strategy Builder

Structure your own trading logic into clearly defined rules, filters, and scenario conditions so your workflow remains consistent, testable, and easy to refine over time.

Workflow Discipline

Define structured level maps, no-trade conditions, and confirmation rules so your execution process remains consistent, controlled, and less influenced by emotional decisions.

Built as a structured decision system.

Each engine processes one dimension of market data and organizes it into your workflow - keeping your decision criteria clear, consistent, and expandable.

Context EngineOrganizes price location, VWAP, options positioning, and multi-timeframe data into structured contextual market states.
Scenario EngineConverts your defined rules into conditional workflow states with user-defined scenario conditions and multi-factor confluence summaries.
TensorExec EngineMonitors active workflow states against user-defined guardrails and highlights when predefined conditions are met.
Playbook TemplatesBuild, store, and refine structured strategy templates to support consistent execution and ongoing self-review.

Three ways to turn trading logic into a Playbook.

Choose a ready-made Playbook, describe your own trading idea with AI assistance, or build every condition yourself. TensorAlgo supports different levels of experience without forcing every trader into the same creation process.

Start with a creator-built trading workflow.

Explore Playbooks designed for different markets and trading approaches. Compare individual strategies and multi-strategy bundles, review available historical performance, and choose rental or lifetime access.

Best for: Traders who want a structured starting point without building a strategy from scratch.

Explore Marketplace

Build precise Playbooks with full strategy control.

Create the market logic, execution filters, risk rules, and strategy combinations you want, then review and validate the complete structure before saving or activation.

Best for: Experienced traders who want detailed control over how each strategy behaves.

Build Manually
Ready-made, AI-assisted, or fully custom — one Playbook framework.

One Playbook framework. Different ways to trade.

TensorAlgo adapts the same structured Playbook framework to different levels of experience and different approaches to execution — from guided rule-following to detailed systematic strategy design.

Active Intraday Traders

Use structured workflows to organize real-time market context, predefined conditions, and execution rules as conditions change throughout the trading session.

Developing Traders

Follow a clearer decision process with defined conditions, risk guardrails, and repeatable rules that help reduce impulsive or emotionally driven execution.

Systematic Traders

Convert market observations into detailed, rule-based strategies that can be reviewed, refined, combined, and applied consistently across different market conditions.

A consistent Playbook structure across experience levels and trading styles

Institutional-style data. User-controlled workflows.

TensorAlgo provides a structured set of capabilities for organizing and managing your trading process - from real-time data context to structured review and refinement.

Real-Time Market ContextContinuous processing of market structure data including options positioning, volume activity, and price-level context across sessions.
Options Positioning & OI VisualizationVisualize open interest distribution and delta activity to better understand how positioning is structured across the market.
Multi-Factor ConfluenceCombine multiple data inputs into structured confluence summaries to support clearer and more consistent decision criteria.
Contextual Level MappingIdentify and organize key levels based on observed market activity, liquidity zones, and session-based behavior patterns.
Workflow State TrackingTrack active workflow conditions and scenario states within your structured decision process - providing clear visibility across changing market conditions.
Trade Journal & Self-ReviewAutomatically log your trades and review your decision process with structured statistics and optional AI-assisted insights - supporting consistency and ongoing refinement.

Structured for traders building consistency.

TensorAlgo is now accepting early access applications. Join the waitlist to get access to structured workflow tools designed to help organize your decision process and reduce randomness across different market conditions.

Build Your Own Playbook
Limited early access - initial group only