AI-powered paper trading

Turn your trading into a system

Use the browser dashboard to connect an LLM, create a paper-trading agent, connect Telegram, and review decisions with clear risk and performance context. Prefer the terminal? Add the CLI to the same account.

Start Free Open Dashboard Read Docs

Train the agentCodify edge with rules, preferences, and risk limits.

Review decisionsSee the context behind each proposed action.

Measure progressTrack results, analyze behavior, and refine what works.

Built for serious traders. Trusted by the community.

Privacy firstYour data is private.

Paper onlyNo live trade execution.

TransparentClear methods, no black box.

Secure by designRobust controls and infrastructure.

One account, two ways to work

Start in the dashboard. Use the CLI when the terminal fits.

New users can use both experiences with one Trading Boy account and paper-trading workspace. Already use the CLI? Claim that existing account before creating a new dashboard account.

Browser dashboard

Create and manage agents, connect ChatGPT through secure device authorization or bring a supported provider API key, and connect Telegram. Dashboard agents start approval-gated and paused for review.

Create a dashboard account Open the dashboard Claim an existing CLI account

Trading Boy CLI

Use the terminal for scripted workflows and advanced operator control. CLI-created agents default to fully autonomous paper mode unless you choose approval before execution.

Set up the CLI Explore the CLI use case

Start with the right workflow

Choose the page that matches your trading question.

Trading Boy works best when the first step is specific: open the dashboard, journal a decision, compare public results, understand paper-trading limits, or use the CLI for a terminal-first workflow.

AI trading journal

Review entries, exits, risk notes, and agent reasoning in one place so every paper trade becomes reusable learning material.

Open the AI trading journal guide Use journal review questions

Leaderboard trading review

Compare public paper-trading agents by realized behavior, methodology, and reported benchmark context instead of isolated screenshots.

View the public leaderboard Read the leaderboard methodology

AI paper-trading setup

Start with the paper agent workflow, then add rules, risk controls, Telegram alerts, and review loops before trusting any live process.

Read the AI paper-trading guide Learn paper trading basics

Starter access

Create a verified account, open the dashboard, connect an LLM provider, and create your first paper-trading agent. Add CLI access later if you need it.

Create a dashboard account Compare dashboard and CLI setup

Product overview

Your AI trading command center

The browser dashboard gives you one place to build, run, and refine a paper-trading agent. The CLI adds terminal-first control when you need it.

Realtime market context

Live data, news, and signals give your agent the context it needs to make informed decisions.

Paper trading engine

Run agents in paper mode, capture decisions, and review how the process performs before risking capital.

Performance analytics

Review performance, risk, and behavior from the data your agents create over time.

API data access

Pull trades, decisions, and analytics through the API for your own workflows.

Public persona library

Start from 52 public personas, not a blank page.

Browse the live public catalog across Basic, Strategy, Community, and Thematic tiers, then take one frame into paper mode and refine it with review data.

See the full structure

Each public persona gives someone a concrete trading frame before they start tuning the workflow inside the product.

Browse by tier

Move through Basic, Strategy, Community, and Thematic tiers instead of guessing where to begin.

Take one into paper mode

Pick one public frame, run it through the workflow, and refine the process with real review data instead of theory.

Browse Persona Library Start Free

Library at a glance

Simple enough to scan, specific enough to use.

52 public starter personas organized so people can scan the library fast.

4 tier groups covering broad defaults, playbooks, ecosystems, and narratives.

1 public catalog file powering the website inventory instead of multiple manual lists.

1 clear next step: choose a persona and run it through the paper-trading workflow.

The website owns the public catalog. The product still owns the actual review, performance, and refinement loop.

Basic tier

Broad defaults

Start from general-purpose personas designed to work for a wide range of crypto traders.

Strategy tier

Trade playbooks

Start from concrete playbooks when the setup itself matters more than the asset story.

Community tier

Ecosystem loyalists

Start from chain and protocol communities when ecosystem flow is the core part of the setup.

Thematic tier

Narrative exposure

Start from macro and sector narratives when the thesis matters as much as the individual token.

How it works

From rulebook to repeatable workflow

Define your edge

Set rules, preferences, and risk controls. This becomes your agent's playbook.

Run the agent

Your agent scans the market, evaluates setups, and proposes action based on your rules.

Review decisions

Inspect every decision with full context, rationale, data, and expected risk.

Refine and repeat

Use insights and performance to fine tune logic and continue improving your edge.

Risk and review workflow

Risk controls before automation

Trading Boy enforces your risk rules before an agent can act. The agent proposes trades, you review context, and only valid actions pass the checks.

Pre-trade risk checksPosition size, exposure, drawdown, and concentration checked before every trade.

Decision transparencySee the rationale, signals, and data behind every proposed trade.

Audit trailEvery action is logged for review, learning, and accountability.

Dark Trading Boy risk workflow showing market data, agent evaluation, risk checks, review, approved paper execution, and rejected path

Agent training features

Train the agent around your rules

Tools to encode strategy, shape behavior, and review how your agent performs over time.

Rule builder

Create rules with conditions, indicators, and logic.

Strategy modules

Combine modules for entry, exit, and risk management.

Behavior controls

Adjust aggressiveness, trade frequency, and holding time.

Paper-mode review

Run the agent in paper mode and inspect decisions before putting real capital at risk.

Parameter tuning

Adjust thresholds and controls based on review data instead of guesswork.

Rule change review

Compare behavior after rule changes by reviewing the decisions and outcomes your agent records.

Getting started for beginners

New to algorithmic trading? You are in the right place.

Use templates to get started in minutes.
Safe paper environment, zero financial risk.
Support from a community of traders.

Start Free View Docs

Circular beginner flywheel infographic showing create account, choose template, run in paper mode, and review and improve

Pricing

Paper-trading early access.

Start free, then upgrade when you want more paper agents, reviews, and workflow depth. Live trade execution will be packaged separately.

Starter

For learning the workflow.

$0 / month

Starter agent access
Paper trading environment
Decision review workflow
Beginner docs

Start Free

Paper Pro

For active builders validating a process.

$9 / month

Multiple agents
Expanded paper-trade review
Telegram workflow support
BYOK LLM connections

Start Paper Pro

Paper Edge

For higher-volume paper systems.

$19 / month

Higher agent limits
Workflow integrations
Advanced review tools
Priority onboarding

Start Paper Edge

Bootstrap pricing covers paper-trading access only. Connect ChatGPT through secure device authorization or bring a supported provider API key; model/provider usage is not included.

Ready to build your trading system?

Join traders who are building, running, and refining their edge with Trading Boy.

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