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Updated 2025-06-04·Editorial policy·Trading system

What is Paper Trading?

Paper trading executes strategy on live or historical data without real money risk.

Formula

Paper Trading Process: 1. Open a Paper Account - Virtual capital: $100,000 - Real-time market data - Same order types as live trading 2. Trade as If It Were Real - Analyze charts and setups - Place buy/sell orders - Set stop-losses and targets - Trades execute at market prices 3. Track and Review Performance - Monitor open positions - Review closed trades - Calculate win rate and P&L - Identify what's working Example Trade: Buy 50 shares AAPL at $185.00 (paper) Stop-loss at $181.50 (paper) Sell at $192.00 (paper) Paper profit: $350 Real money at risk: $0

Indian market context (NSE)

Reference levels: Nifty 50 at 24,300, Reliance Industries at ₹1,300, Bank Nifty futures at 55,000 (lot size 30). Examples below show how Paper Trading shows up on Indian index, equity, and futures books — update to live quotes in your journal.

Nifty 50 perspective

Paper Trading on Nifty (24,300): backtest includes 9:15 liquidity and expiry-day behaviour; edge on index may vanish outside 10:00–14:30 window.

Reliance Industries perspective

Paper Trading on Reliance (₹1,300): liquidity is deep but event gaps dominate — strategy rules need explicit earnings blackout weeks.

Bank Nifty futures perspective

Paper Trading on Bank Nifty futures (55,000): high beta suits shorter holds; overnight paper trading must state NRML risk and gap plan in writing.

How to validate

  • Validate Paper Trading only after costs — gross win rate can hide negative expectancy.
  • Use walk-forward windows (e.g. last 60 / prior 60 trades) for stability.
  • Retire or refactor the tag if Paper Trading expectancy turns negative with 50+ trades.
  • Ensure no overlapping tags duplicate the same trades.

How to track in TradeLyser

  • Define Paper Trading in Strategy Board with entry/exit/skip criteria.
  • Enforce single-tag discipline — no secondary discretionary entries.
  • Review expectancy, win rate, and avg R monthly on the tag only.
  • Archive tag version when rules change; do not blend old and new trades.

Best practices

  • One playbook page per Paper Trading strategy with non-negotiable rules.
  • Paper trade rule changes for two weeks before live size.
  • Track costs explicitly on high-frequency Paper Trading variants.
  • Compare versioned tags after each rule amendment.

Common pitfalls

  • Adding discretionary trades under the Paper Trading tag.
  • Scaling up after one lucky week of Paper Trading results.
  • Ignoring brokerage drag on high-frequency variants.
  • Retiring a tag without exporting final statistics.

How to use this in TradeLyser

Tag paper vs live explicitly; do not merge in expectancy analytics.

Related terms

FAQ

Paper too long?

Set promotion criteria — e.g. 30 sim trades with rule compliance.

Broker paper vs spreadsheet?

Broker sim closer to fills — note tool used.

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