CodeBull is a next‑generation trading playground designed for both human traders and algorithms. Explore markets in a fully risk‑free environment, replay historical sessions on demand and deploy bots that follow your rules. Whether you prefer hands‑on experimentation or automated execution, CodeBull brings the future of trading to your browser.
Join the BetaBuild confidence and competence by experimenting with your own trading strategies in a risk‑free environment. CodeBull combines a powerful simulation engine with intuitive manual trading tools, a full automation stack for bots and deep analytics to help you improve. Replay historical sessions to sharpen your skills and see how your ideas would have performed in different market conditions.
Welcome to CodeBull, the gamified trading platform where you learn to build bots, simulate markets, and outsmart strategy-driven AIs using real data. Designed for teens, beginners, and future fintech engineers, CodeBull lets you learn Python, experiment in a risk-free sandbox, and level up your trading IQ in a fun, competitive environment.
🟢 Start building today at codebull.app
Stream live prices for stocks, forex and crypto. Replay markets on any historical date range and respond to price movements in milliseconds using up‑to‑the‑second data streams. Real‑time feeds ensure your simulations mirror actual trading conditions and keep leaderboard rankings precise.
Prefer to trade by hand? Use our manual simulation tools to analyse charts and record trades yourself—just like manual backtesting. Pick a time period, set your entry and exit rules and watch how your strategy unfolds. Manual practice helps you understand market behaviour and refine decision‑making skills.
CodeBull’s automation stack lets you build custom bots without limits. Design strategies using simple rules or complex code, integrate with third‑party charting tools and let the bot execute trades automatically. Backtest and refine your bot before deploying it across multiple asset classes so it follows your rules precisely.
Evaluate your ideas on historical data to identify strengths, weaknesses and profitability. CodeBull’s simulator enables both manual and automated backtesting and lets you replay tick‑level data at any timeframe. Practise via paper trading to build confidence before risking real capital, using features like one‑minute data windows and realistic order execution.
Engage with peers and climb the ranks on our real‑time leaderboard. The leaderboard highlights top traders and updates automatically to reflect current performance and aggregates returns across accounts. A competitive atmosphere motivates you to sharpen your skills and share strategies, while the community provides support and inspiration.
Analyse every trade with comprehensive metrics such as win/loss ratios, drawdowns and Sharpe ratios, presented in interactive charts. Integrated risk management tools let you set fixed or trailing stop‑loss orders, compute risk‑to‑reward ratios and determine position size based on the 1–2% rule. These features ensure you manage risk effectively and trade consistently.
CodeBull offers a flexible scripting interface that lets you create customised trading bots. Whether you prefer a simple moving average crossover or a complex machine‑learning strategy, our platform supports it all. Build and backtest your strategy using familiar charting tools and configure webhooks to fire your trading signals.
Write your logic using JavaScript or Python‑like syntax, test it instantly in the simulator and refine it until you’re satisfied. When you're ready, connect your bot and let it execute trades automatically across multiple assets—your bot, your rules. Then join the competition and see how it ranks on the leaderboard.
# Example strategy: Moving average crossover
fast_period = 10
slow_period = 30
close_prices = []
position = False
def on_new_tick(price):
global position
close_prices.append(price)
if len(close_prices) < slow_period:
return
fast_ma = average(close_prices[-fast_period:])
slow_ma = average(close_prices[-slow_period:])
if not position and fast_ma > slow_ma:
buy()
position = True
elif position and fast_ma < slow_ma:
sell()
position = False
def average(arr):
return sum(arr) / len(arr)
Can you beat our best performers? Our leaderboard updates in real time to showcase top traders and motivates you to refine your strategies. Hone your skills and see how you rank against others.
| Rank | User | Strategy | Return (%) |
|---|
Welcome to CodeBull.
We believe that the world of trading and finance shouldn't be locked behind jargon, expensive tuition, or the fear of losing real money. It should be fun, accessible, and hands-on—especially for the next generation of developers, traders, and fintech innovators.
CodeBull was born from a simple idea:
What if you could learn the stock market the same way you learn to play a game or build with code?
We wanted to give teenagers, beginners, and curious minds everywhere the power to simulate real markets, write their own trading bots, and compete in strategy challenges—without needing a finance degree or risking a single dollar.
To empower a new generation of fintech creators by turning code, competition, and curiosity into a powerful learning experience.
We’re here to spark the minds of future quants, devs, entrepreneurs—and maybe even the next fintech unicorn founder.
Sign up to receive updates on CodeBull’s launch, new features and exclusive beta invites.