Paper trading for algorithmic strategies

Paper trading lets you run automated strategies with simulated money in real market conditions. Learn when to use it, how it differs from backtests, and what to check before going live.

Published September 25, 20265 min readQuantly team

Paper trading is forward testing: your strategy generates orders against live quotes, but fills are simulated (or routed to a broker's paper environment). It bridges the gap between a historical backtest and real capital.

Why paper trade?

  • Validate automation - schedules, reconnects, and order sizing behave differently in production.
  • Observe slippage - see how market orders interact with real spreads during your trade window.
  • Build a track record - equity curves in paper are not investable performance, but they surface operational issues early.

Paper vs backtest

BacktestPaper
TimeHistoricalLive forward
FillsModel-basedBroker or simulator rules
Best forResearch, parameter sweepsOps, scheduling, sanity checks

A strategy that shines in a backtest can still fail paper if liquidity, timing, or corporate actions differ from your model.

What to monitor

  • Did orders submit at the intended session time?
  • Are position sizes within risk limits?
  • Does cash and margin match expectations after fills?
  • Are skipped trades logged with a clear reason?

When to go live

There is no universal rule. Many teams require a minimum paper period, stable metrics versus backtest expectations, and explicit max loss limits before enabling live trading.

Quantly offers automated paper execution on supported broker connections so you can run the same strategy tree you backtested. Join the waitlist for access or open the demo to see the workflow.

Ready to build

Your strategy deserves a real runtime

Paper trade in minutes. Backtest across decades of data. Connect your brokerage when you are ready to go live.