Build & Test Trading Algorithms in Python
Write strategy scripts, backtest them against real historical data bar-by-bar, and analyze every trade. Start from built-in templates or code from scratch — the Algo Playground gives you everything you need to develop and refine algorithmic trading strategies.
Everything You Need to Build Trading Algorithms.
A complete environment for writing, testing, and analyzing Python trading strategies — with built-in templates, real-time backtesting, and TopStep API compatibility.
Python Code Editor
Write strategies in Python with a full-featured Monaco code editor. Syntax highlighting, auto-completion, and real-time error feedback.
Built-in Templates
Start fast with pre-built strategy templates — SMA crossover, RSI scalper, channel breakout, and more. Customize parameters or use as a starting point.
Real-Time Backtesting
Watch your strategy execute against real historical data bar-by-bar. Track account balance, positions, and P&L as the backtest runs.
Strategy Comparison
Save multiple runs and compare performance side-by-side. Test different parameters, timeframes, or instruments to find your edge.
TopStep API Compatible
Scripts use the same API as the TopStep ProjectX Gateway. Transition from backtesting to live trading with minimal code changes.
Trade Logs & Metrics
Every trade is logged with entry, exit, P&L, and duration. View equity curves, win rate, and drawdown for each strategy run.
How It Works
Choose a Template
Pick from built-in strategy templates or start with a blank canvas in the code editor.
Configure Your Backtest
Select the instrument, timeframe, date range, and execution speed for your strategy run.
Run & Monitor
Execute your strategy and watch it trade in real time. Pause, adjust speed, or stop at any point.
Analyze Results
Review trade logs, equity curves, and performance metrics. Save runs and compare across strategies.
Write Strategies in Pure Python
Code, Test, Iterate
The Algo Playground gives you a full-featured code editor with syntax highlighting, auto-completion, and real-time error feedback. Write your strategy logic in Python using a simple, intuitive API.
Every strategy receives market data bar-by-bar and can place orders, check positions, and manage risk — just like a real trading bot. When your strategy is ready, hit run and watch it execute against historical data in real time.
Scripts use the same API structure as the TopStep ProjectX Gateway, so transitioning from backtesting to live trading requires minimal code changes.
def on_bar(bar, account, api):
sma_fast = sma(account.bars, 10)
sma_slow = sma(account.bars, 30)
if sma_fast > sma_slow and not account.position:
api.place_order("BUY", qty=1)
elif sma_fast < sma_slow and account.position:
api.place_order("SELL", qty=1)Frequently Asked Questions
What programming language does the Algo Playground use?
Do I need programming experience?
Is the Algo Playground a Pro feature?
Can I use my strategies on a live trading platform?
Ready to Build Your First Strategy?
Start from a template or write your own from scratch. The Algo Playground gives you everything you need to develop, test, and refine trading algorithms.
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