Explore AI Trading

Automated Trading Platform. Your Way.

Deploy a popular strategy, use AI to create a trading bot, build your own no-code rules, or write a custom Python algorithm. One algorithmic trading platform for stocks, options, crypto, futures, and forex.

  • Ready-to-use templates
  • No-code or Python
  • Paper or live trading
Template — Stocks Example
Ready-made strategies · Minimal setup

Trading on cruise control
in 3 easy steps.

Pick a ready-to-use strategy, make it yours, and let it run. Explore automated trading templates for stocks, options, crypto, forex, and futures.

  1. 01

    Pick a popular strategy

    Browse ready-to-use templates, from momentum to mean reversion. See the rules and backtest results before choosing.

  2. 02

    Customize it to your needs

    Copy a template into your account. Adjust its markets, position sizes, and risk settings to suit your approach.

  3. 03

    Deploy and let it run

    Run with virtual funds or authorize a supported broker account. Investfly runs your strategy; you can monitor or pause it anytime.

For traders with their own ideas

Your trading rules.
No coding required.

Turn the setups you already trade into configuration-based automated trading. Choose indicators, entry and exit rules, position sizes, and schedules in a visual trading bot builder. Investfly handles the execution.

My Strategy Private draft
Illustrative visual builder
YOUR UNIVERSEChoose supported marketsDefine the instruments to evaluate
YOUR CONDITIONSBuild entry logicCombine indicators and criteria you select
YOUR SIZINGSet position rulesChoose sizing and allocation inputs
YOUR EXITSDefine exit controlsReview every exit and risk rule
For Python algo developers

You write the strategy.
We run the infrastructure.

Keep your IDE and your development workflow. Build custom Python trading strategies while Investfly manages supported market data, hosted execution, and account connections. No trading servers to maintain.

  1. Download the Python SDKInstall investfly-sdk and start with sample strategies.
  2. Create and test locallyWrite and type-check your strategy in your own IDE. Test your calculations locally.
  3. Push to InvestflyUpload with the CLI, run platform backtests, and deploy to a virtual portfolio or eligible broker.
MyStrategy.py
Illustrative SDK structure
class MyStrategy(TradingStrategy):
    def getSecurityUniverseSelector(self):
        return SecurityUniverseSelector.fromSymbols(
            SecurityType.STOCK, ["AAPL", "MSFT"]
        )

    @data_trigger(type=DataType.BARS,
                  barInterval=BarInterval.ONE_DAY)
    def onMarketData(self, updatedSecurities):
        orders = []
        # Add your signals and TradeOrder objects
        return orders or None
Market data Hosted execution Broker connections
For beginners and strategy explorers

Real trading practice.
Virtual money.

Explore the markets without risking real money. Use our portfolio simulation platform to place paper trades manually or run an automated strategy. Track cash, orders, positions, and performance together in a full virtual portfolio.

Virtual portfolios are simulations; results do not represent or predict actual trading. Asset access and automation depend on your plan.

Asset, market-data, order, and live-account availability varies by provider, account type, jurisdiction, entitlement, and platform support.

A connected trading toolkit

Automated trading software that works as one connected toolkit.

Screen for opportunities, set alerts, inspect charts, and connect your broker. The everyday tools around your trading live in the same workspace.

NO-CODE

Visual trading bot builder

Translate the rules in your head into a structured strategy you can inspect and revise.

Explore builder
PYTHON

Python algo trading

Write custom logic with supported Python strategy tools.

Explore Python
RESEARCH

Strategy backtesting

Review hypothetical strategy behavior against historical data you select.

Explore backtesting
SIMULATION

Virtual trading portfolio

Place manual paper trades or run strategies, then review positions and performance with virtual funds.

Explore simulation
MONITORING

Stock alerts & trading triggers

Use Market Automation to watch your conditions, send notifications, or trigger a configured order.

Explore automations
DISCOVERY

Stock Screener

Filter supported stocks and ETFs with your own price, fundamental, and indicator criteria. Save screens and inspect matching symbols.

Explore stock screening
CONNECTIONS

Eligible broker accounts

Connect a supported account, review your strategy, and separately authorize it when you decide.

Explore connections
Automated trading software FAQ

Questions before you start?

Choose the starting point that fits you: a template, your own rules, Python code, or a paper trading account.

Explore all features
Can I start with a ready-made trading strategy?

Yes. Pick a strategy template, copy it into your account, customize its inputs, and deploy to a virtual portfolio or an eligible connected account. Templates include rules and hypothetical backtest results you can inspect; they are starting points, not recommendations or guarantees.

What is automated trading software?

Automated trading software lets a user define market conditions and trading rules for a strategy the software can evaluate repeatedly. Investfly combines visual and Python strategy authoring with hypothetical backtesting, virtual portfolio simulation, monitoring, and eligible account connections.

Can I build a trading bot without coding?

Yes. Investfly's no-code trading bot builder lets you configure a supported universe, entry and exit conditions, sizing, scheduling, and risk controls through a visual strategy builder. A Python option is available for users who want custom code.

Can I create a crypto trading bot with Investfly?

You can create user-defined automation for supported crypto instruments and eligible connections. Crypto availability varies by provider, account, jurisdiction, market-data entitlement, instrument, and supported order capability.

How does trading strategy backtesting work?

You select strategy rules and inputs and inspect the available historical range, then review the resulting hypothetical activity. Backtests may omit or simplify fees, slippage, liquidity, latency, taxes, borrowing constraints, and market impact. They are not actual trading and do not predict future performance.

What is the difference between backtesting and a virtual portfolio?

A backtest applies rules to selected historical data. A virtual portfolio simulates eligible strategy activity over time. Both can help you inspect behavior, but neither represents actual execution or predicts real-world results.

Can I paper trade manually without building a bot?

Yes. A virtual portfolio lets you place manual paper trades and track orders, positions, cash, and performance using virtual money. You can also run a strategy in a compatible virtual portfolio. Explore the paper trading simulator to get started.

Can I use Python for algorithmic trading strategies?

Yes. Investfly supports Python strategy tools for users who want to write and review custom strategy logic using the supported SDK and libraries.

How do connected broker accounts work?

After connecting a supported account, the account owner reviews the strategy and separately authorizes eligible live use. Provider, account, jurisdiction, instrument, market-data, and order restrictions apply.

Your starting point. Your pace.

Your next strategy starts here.

Pick a template, automate your own rules, or bring Python. Investfly takes care of running it.

No credit card required. Review current trial and plan terms before subscribing.