AI trading bot builder

Build a Trading Bot With AI, No Code Required

Describe your strategy in plain English and AI builds the whole bot: indicators, entries, exits, and risk rules. Test it with $10,000 of virtual money, then move to paper trading and controlled live execution.

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Step-by-step guide

How to build your trading bot, step by step

Each step below shows the exact screen you will work with on Setup.Cash, with the key actions highlighted. Follow along and you can have a bot trading on virtual money in a few minutes, no code required.

Step 1

Create your free account

Setup.Cash signup page with the email field, invisible bot protection, and Create account button highlighted

Everything starts at the signup page. Pick a username, enter your email and a password, and accept the terms. Bot protection runs invisibly in the background, there are no puzzles to solve.

The free account is enough to follow this whole guide: you get AI credits to generate a strategy, the full no-code builder, and one simulator run with a $10,000 virtual balance. No card required.

  • You can also continue with Google in one click.
  • Free accounts include 2 AI generations, enough to build your first bot with AI.
Create your account

Step 2

Describe your strategy in plain English (or skip to templates)

Setup.Cash dashboard with the AI strategy prompt circled in red and the Generate Setup button circled in orange

This is your dashboard. The fastest way to a working bot is the Strategy Prompt box: type what you want in normal language, for example “Build a London open forex breakout on EUR/USD with ATR stops, session filter, and 0.5% risk per trade”, and press Generate Setup.

The AI wires everything for you: the indicators, the entry and exit conditions, the session filter, the stop-loss and take-profit, and the risk settings. What you get back is not a black box, it is a complete, editable strategy that you can open in the builder and change block by block.

  • Be specific about risk (“0.5% per trade”) and stops (“ATR stop”), the AI uses exactly what you say.
  • The chips under the box (London Breakout, BTC Swing, Earnings Momentum) fill in proven example prompts.

Step 3

Or launch a proven starter template in one click

The Your First Bot page with four starter strategies and the Launch as paper bot link circled

Not sure what to build? The First Bot page gives you four battle-tested starters: EMA Crossover (trend following), MACD Pulse Trend (momentum), VWAP Band Reversion (mean reversion), and Stochastic Range Fade (range trading).

Every starter scans all seven USD forex majors at once, EUR/USD, GBP/USD, USD/JPY, USD/CHF, USD/CAD, AUD/USD, and NZD/USD, so the bot always hunts for the best setup across the whole basket instead of staring at one pair.

One click on “Launch as paper bot” and it is running on our servers with virtual money. No broker account, no configuration, nothing to install.

  • Paper bots keep trading even when your computer is off, they run server-side.
  • You get a notification the moment your bot makes its first move.
Open Your First Bot

Step 4

Shape the logic in the no-code builder

The Simple Blueprint scratch builder with template levels, Save Strategy, and Run Simulator highlighted

This is the Simple Blueprint builder, Scratch-style blocks you drag, snap, and nest. The green ENTRY block holds your buy logic (“IF RSI(14) crosses… THEN BUY”), the red EXIT block holds the way out, and the dark core blocks define the market, session, trading days, and regime.

Template levels L1 to L5 give you working starting points, from a one-pair starter RSI setup to a five-pair multi-timeframe scanner. Pick one, then swap indicators and conditions freely, the toolbox on the left has categories for indicators, price action, logic, risk, guards, and exits.

The status pills at the top tell you everything live: Valid means the logic compiles, Wiring OK means all blocks are connected, and Draft saved means you cannot lose work. When you are happy, hit Save Strategy, then Run Simulator to test it with $10,000 of virtual money.

  • Builder modes: Basic keeps the toolbox clean, Advanced adds more signal depth, Pro unlocks institutional controls.
  • Auto Fix Tools repairs common wiring mistakes for you.
  • Prefer full node-graphs? “Open Full Builder” switches to the advanced canvas with the same strategy.
Open the builder

Step 5

Launch: your bot goes live on paper

Confirmation screen that says Your bot is live on paper, with buttons to watch it live, see all bots, or edit the strategy

This is the moment: your bot is live with $10,000 of demo money. It scans the market and trades on its own, even when the page is closed or your computer is off, and notifies you the moment it makes its first move.

From here you can watch it live, jump to all your bots, or go back and edit the strategy. Nothing is locked in: pause, tweak, and relaunch as often as you like.

  • Paper first, always: prove the behavior before any real money is involved.
  • When you are confident, the same strategy can run on a broker Demo account, then Real Money, with guardrails.

Step 6

Watch it run: health, balance, and full control

The live run page showing Run Health as Healthy, the live summary with the virtual balance, and Pause and End controls

Every run gets its own live page. Run Health shows the engine heartbeat, a tick every 15 seconds, so you always know your bot is alive. The Live Summary tracks balance, equity, and realized and unrealized P&L in real time, and the chart below shows exactly what the bot is seeing, pair by pair.

You stay in charge: Pause suspends trading instantly, End closes the run, Run Settings adjusts limits mid-flight, and Share to Feed posts your run to the community if you want an audience.

When the simulator results convince you, connect a broker (OANDA API keys or MetaTrader) from Trading Settings and launch the identical strategy in Demo, and eventually Real Money, mode.

  • The engine watches every position server-side with your stop-loss and take-profit rules.
  • Add Telegram or push notifications to get every trade on your phone, the Android app supports native alerts.
See your runs

Ready to build yours?

The whole flow you just read takes about five minutes to do. Create a free account, describe your strategy or pick a starter, and watch your first bot trade on paper today.

How it works

  1. Step 1

    Type your strategy idea in plain English and AI turns it into a complete, editable trading bot.

  2. Step 2

    Refine entries, exits, and filters in a visual no-code builder, or start from proven templates.

  3. Step 3

    Run backtests and a $10,000 virtual simulator to validate behavior before any exposure.

  4. Step 4

    Paper trade the bot server-side, then go live through your broker with risk guardrails.

Features for AI trading bot builder

  • No-code blueprint editor for strategy logic
  • Backtesting workflow and performance review
  • Paper trading for execution rehearsal
  • Risk-first controls (position rules, TP/SL planning)
  • Internal documentation and versioned strategy refinement

Use cases

New traders learning structured strategy design
Experienced traders converting discretionary rules into repeatable logic
Teams standardizing execution checklists across operators
Creators packaging process-driven strategy workflows

In-depth guide

Blueprint first, execution second

Most strategy failures happen before execution because rules are unclear. Start by writing objective conditions for trend context, entry trigger, invalidation, and trade management before opening any position.

A practical trading bot build process should force consistency: same setup definition, same risk-per-trade, and same stop behavior for every run. That consistency lets you measure whether changes improve expectancy or just add noise.

If a rule cannot be tested or reviewed after the fact, it should not be in a production bot. Use your blueprint as an audit trail, not only a trigger engine.

Validation standards before live capital

Require backtesting across multiple periods, then run paper trading to confirm execution behavior in live market conditions. Backtest-only confidence is rarely enough for deployment.

Track drawdown clusters, losing streak tolerance, and average time-in-trade. A strategy can look profitable while still being operationally too unstable for your risk profile.

Only move to live mode when your process remains stable under volatility, slippage, and event-driven session changes.

FAQ

What does "build a trading bot with AI" mean on Setup.Cash?

It means using a visual workflow to define entries, exits, filters, and risk management rules, test the setup, and run it with documented risk controls. The platform is a builder and research workflow, not a guarantee of performance.

Do I need coding skills to use the builder?

No. You can create rule-based blueprints in a no-code interface. Optional advanced logic and indicators can be layered in gradually as your process matures.

Can I backtest before using real money?

Yes. A core workflow is strategy definition, backtesting, and paper trading before any live execution. This helps identify rule issues and reduce avoidable mistakes.

Does Setup.Cash support forex, crypto, and stocks?

The platform is designed for strategy building workflows across forex, crypto, and stock-market use cases. Market availability depends on your data, broker, and execution setup.

Is this financial advice or a profit guarantee?

No. Setup.Cash provides software tools for strategy design, testing, and operational discipline. Trading involves risk, and outcomes depend on market behavior and user decisions.

What should I measure after building a strategy?

Track win/loss distribution, expectancy, drawdown, trade frequency, average hold time, and whether the strategy behavior matches the original blueprint assumptions.

Start here

Build your trading bot workflow with structure

Use Setup.Cash to create, backtest, and paper trade rule-based strategies without relying on guesswork. Not financial advice. Trading involves risk.

Disclaimer

Not financial advice. Trading involves risk. Use backtesting and paper trading to validate assumptions before considering live execution.