The Bridge Between Your Account
& Artificial Intelligence.
AI scans the market, builds the trade plan, and executes inside risk limits you control — try it risk-free in simulation before you connect a live account.
macOS app download · Built-in SIM or live IBKR brokerage account · Pay-as-you-go credit tokens for AI · Windows coming soon
Less Screen Time. A Clear Authority Boundary.
BrokerBridge is for traders who want AI to do more than answer questions but do not want to hand it unrestricted account control. Choose the mode that matches the job, define the limits, and keep a visible way to stop new work.
Real orders need a boundary
Use supervised review for a one-off proposal, or give one saved Retail Strategy a durable, revocable mandate inside the exact scope you set.
You cannot watch models all day
Council Autopilot runs scheduled LLM Arena cycles under a revocable SIM-only mandate, so the models can build evidence without touching a brokerage account.
Autonomy needs a hard boundary
A Retail Strategy mandate is limited to one saved Strategy, capital sleeve, risk limits, instruments, schedule, broker mode, and emergency controls. Arena automation stays simulated.
One Workspace, Different Authority Modes
For a one-off idea, ask for a structured plan, inspect its data and configured checks, then modify, reject, or approve it. The example at right shows that supervised path.
For recurring broker work, explicitly grant one saved Retail Strategy a standing mandate. It may place qualifying orders without a per-trade tap only while the exact mandate and every runtime gate remain valid. Council Autopilot is separate: it makes and manages simulated decisions inside LLM Arena only, with no broker execution path.
Illustrative sample · Not current market data or actual results
See It In Action
A purpose-built trading interface that keeps you in control. Every screen is designed to reduce friction and enforce discipline.
Screens are illustrative. Figures shown (P&L, balances, win rates) are sample data, not actual results. Trading involves risk of loss.
An AI Trade Journal That Compounds Your Edge.
Every executed trade, fill, stop-loss trigger, and closed outcome is automatically logged into your local Trade Journal. BrokerBridge analyzes your win rate by AI conviction score, extracts recurring learning themes, and delivers automated post-trade AI debriefs so you continuously refine your strategy over time.
Automated Post-Trade Debriefs
After every trade closes, the AI generates a structured debrief analyzing entry timing, target execution, stop behavior, and emotional discipline.
Win Rate by Conviction Score
Track performance across high, medium, and low conviction setups. Know exactly when to size up on your highest-probability setups.
Learning Themes & AI Lessons
BrokerBridge synthesizes trade outcomes into persistent learning themes, preventing repeated mistakes and turning past losses into future profits.
Build Investment Minds Into Your Process.
Create recurring research lenses inspired by the investors whose thinking you respect. Let one part of your portfolio look for macro dislocations, another for asymmetric value, another for momentum. Your portfolio stops having one point of view.
Two Lenses Ship Today
A macro-momentum lens and a quality-value compounding lens are built in, each with its own entry, exit, and sizing discipline running alongside the others.
Name any investor whose framework you want represented — the desk researches their methodology and builds the lens.
Coming Soon: You'll Build Them, Not Just Prompt Them
Describe a deterministic idea in plain English. Turn it into something your desk can scan, monitor, and manage without you babysitting every tick.
One Product. More Than One Mode.
The supervised desk, Retail Strategy mandate runtime, LLM Arena Council Autopilot, journal, provider layer, and managed-credit controls solve different parts of the workflow.
Plug-and-Play LLM Arena & Agent Looping
Select which AI models you want to use (Claude, GPT, Grok, Ollama), guide your prompt schedule, and let AI agents follow your instructions and risk rules automatically.
Strategy Extraction from Any Source
Turn any YouTube video link, chart screenshot, earnings transcript, or Pine Script code into a complete, data-amalgamated trade plan with exact entry, target, and stop levels.
Explicit Risk Enforcement & Retail Strategy Standing Mandate
AI handles market scanning and trade finding while strictly adhering to your explicit capital sleeves, position sizing limits, and max loss boundaries.
AI Trade Journal & Memory Engine
Every trade, fill, and outcome is logged locally. The AI analyzes conviction win rates, delivers post-trade debriefs, and suggests improvements to compound your edge.
Institutional Data Amalgamation
Fuses Options Gamma Exposure (GEX), Commitment of Traders (COT) institutional positioning, Volume Profile (POC/VAH/VAL), and Unusual Whales options flow into every trade setup.
Multi-Model Choice or 100% Offline
Connect Anthropic (Claude Sonnet/Opus 5), OpenAI (GPT-5.6), Google (Gemini 3.5), Grok 4.5, DeepSeek v4, OpenRouter, or run 100% offline with local Ollama models. Free public beta on macOS.
Authority Is a Setting, Not a Slogan.
BrokerBridge keeps planning, broker execution, model research, billing, and review connected while making the selected authority mode visible.
LLM Arena & Model Selection
Pit Claude, GPT-5.6, Gemini 3.5, Grok 4.5, and open-source models head-to-head live on real market setups. See performance graphs, win rates, and drawdowns in built-in simulation so you know exactly which model earns the right to guide your capital.
Instant Strategy Extraction & Desk Chat
Paste any YouTube link, chart screenshot, social post, or Pine Script setup directly into chat. BrokerBridge amalgamates live market data (GEX, COT, Volume Profile) into executable trade proposals with exact entries, stops, and targets.
Explicit Risk Boundaries & Standing Mandates
Never let an AI run wild. Define explicit capital sleeves, position sizing caps, and drawdown limits. Choose supervised tap-to-approve mode or grant a saved strategy a revocable standing mandate inside your exact rules.
AI Trade Journal & Behavioral Memory
Every trade, fill, stop trigger, and outcome is logged locally. The desk analyzes win rates by conviction score, generates post-trade debriefs, and extracts learning themes so your system continuously compounds your edge.
Inspect the Recorded Decision Path
Review proposals, model decisions, configured checks, fills, and authority events recorded by the active workflow. External broker and provider systems remain separate sources of truth.
Your Rules. Checked Automatically.
Configured checks run on the BrokerBridge paths that use them, including supervised proposals, Retail Strategy mandate cycles, and Council Autopilot SIM cycles. A passing result authorizes the next step; it does not make a trade safe or profitable.
In this illustrative example, the daily-loss check blocks the proposal before execution.
Choose the Authority Boundary.
Use direct review for a broker-connected Retail plan, or explicitly authorize one saved Strategy inside an exact, revocable scope. Let Council Autopilot operate only inside LLM Arena's SIM account.
Frequently Asked Questions
Start in SIM. Add Authority Deliberately.
Install the macOS desk, choose your provider lane, set a risk profile, and launch Council Autopilot in SIM before connecting IBKR paper for supervised Retail use or a bounded Retail Strategy mandate.
Start on macOSFree software beta · No YMI membership · Managed-credit checkout default-off