# Paper Trading

## What is Paper Trading?

**Paper trading simulates live trading with fake money and real market data.**

### How It Works

1. Bot connects to live market data feeds
2. Signals trigger based on real-time price action
3. Orders execute using simulated capital
4. Track performance as if trading live
5. No real money at risk

### Why Paper Trade?

**Validate Backtests** - Confirm backtest performance holds in live markets and catch any discrepancies between historical and real-time behavior.

**Build Confidence** - Experience your strategy in action and understand the emotional impact of watching trades unfold without financial risk.

**Test Infrastructure** - Verify API connections, order execution, and data feeds work properly before committing real capital.

**Final Validation** - Catch issues that backtesting missed before risking your actual money.

## Setting Up Paper Trading

### 1. Access Paper Trading Mode

Navigate to: **Strategy Lab → Your Bot → Paper Trade**

### 2. Configure Settings

| Setting              | Recommendation                             | Why                                 |
| -------------------- | ------------------------------------------ | ----------------------------------- |
| **Starting Capital** | Use planned live amount (e.g., $10,000)    | Realistic sizing validates strategy |
| **Trading Pair**     | Match bot config (e.g., BTC-USD)           | Same pair as live trading           |
| **Risk Parameters**  | Same stop loss and position sizing as live | Realistic testing conditions        |
| **Duration**         | 1-2 weeks minimum, 3-4 weeks recommended   | Capture various market conditions   |

### 3. Start Paper Trading

Click **"Start Paper Trading"**

**What happens:** Bot monitors markets 24/7, executes simulated trades when signals trigger, tracks P\&L in real-time, with no actual money involved.

## Monitoring Performance

### Real-Time Dashboard

**Key metrics:** Current P\&L (profit/loss), open positions, win rate, number of trades, and daily performance.

### What to Monitor

| Category              | Watch For                                                           |
| --------------------- | ------------------------------------------------------------------- |
| **Trade Execution**   | Entries at expected prices, slippage, proper fills                  |
| **Strategy Behavior** | Signal frequency, risk management, stop losses triggering correctly |
| **Performance**       | P\&L vs backtest, acceptable drawdowns, similar win rate            |
| **Technical Issues**  | Connection problems, order failures, data feed interruptions        |

## Evaluating Results

### Success Indicators

**Positive signs:** Performance similar to backtest (within 20%), consistent execution without errors, risk management working properly, drawdowns within tolerance, reasonable win rate maintained

**Warning signs:** Much worse than backtest (50%+ worse), frequent execution errors, unexpected behavior, risk limits not working, excessive drawdowns

### Performance Comparison

**Backtest vs Paper Trading:** Compare these metrics: Total return %, win rate, maximum drawdown, average trade profit, number of trades

**Acceptable differences:** 10-20% variance is normal due to live market conditions.

**Concerning differences:** 50%+ worse performance indicates serious issues.

## Common Paper Trading Issues

**No Trades:** Market conditions don't match criteria, parameters too strict, wrong pair → Verify bot active, check parameters, review market conditions **Worse Than Backtest:** Over-optimized backtest, market regime changed, unrealistic assumptions → Review backtest, test different periods, adjust for slippage **Unexpected Behavior:** Strategy logic bugs, edge cases not handled, API issues → Review logs, test edge cases, verify connections

## How Long to Paper Trade?

**Fast** (many trades/day): 1-2 weeks - Enough data, various conditions **Medium** (few trades/day): 2-4 weeks - Accumulate sufficient trades\
**Slow** (weekly trades): 4-8 weeks - Capture enough signals

### Recommended Approach

**Week 1-2: Active Monitoring** - Watch closely for issues, verify execution working, fix problems immediately **Week 3-4: Performance Validation** - Let strategy run naturally, monitor less frequently, accumulate realistic data, build confidence **After 4 Weeks:** Comprehensive review, compare to backtest, decision: proceed to live or iterate

## Paper Trading Best Practices

### Treat It Like Real Trading

**Monitor regularly:** Check performance daily, review trade executions, watch for issues, don't ignore it **Use realistic settings:**

* Same capital as planned live
* Same risk parameters
* Same position sizing
* Same trading hours

### Track Everything

**Keep a journal:** Date started, initial parameters, any changes made, issues encountered, lessons learned

### Test Multiple Market Conditions

**Test through:** Trending markets, range-bound periods, high volatility, low volatility, different times of day **Why:** Strategy might work in trends but fail in ranges. Need to see both.

## Moving to Live Trading

### Ready Checklist

2+ weeks paper trading completed, performance acceptable vs backtest, no unexpected behavior or bugs, execution working smoothly, risk management functioning, comfortable with strategy behavior, understand drawdowns and volatility, capital ready and funded

### Starting Small

**Don't go full size immediately:**

| Phase             | Capital                      | Purpose                            |
| ----------------- | ---------------------------- | ---------------------------------- |
| **Week 1-2 Live** | 10-25% of planned            | Verify real money execution        |
| **Week 3-4 Live** | 50% if performing well       | Monitor closely, stay conservative |
| **Month 2+**      | Scale to full size gradually | Based on continued performance     |

### Expect Differences

**Psychological:**

* Real money feels different
* Losses hurt emotionally
* Temptation to interfere
* Need discipline

**Execution:**

* Real slippage varies
* Liquidity differences
* Actual fees
* Different fills

**Expect:** 5-10% performance degradation vs paper is normal.

## If Paper Trading Fails

### Don't Skip to Live

**If paper results are bad:**

* Don't assume it will be better live
* Don't blame "fake money"
* Don't ignore warning signs

**Paper trading is your safety net.**

### What to Do Instead

| Option                 | Approach                                                   |
| ---------------------- | ---------------------------------------------------------- |
| **Iterate**            | Identify problems, adjust carefully, paper trade again     |
| **Different Strategy** | Try different approach, new backtest → paper cycle         |
| **Different Market**   | Test on different pair, some strategies pair-specific      |
| **Pause and Learn**    | Study more, understand why it failed, develop new approach |

## Quick Reference

### Paper Trading Workflow

1. Complete successful backtest
2. Set up paper trading (2-4 weeks)
3. Monitor actively first week
4. Let run and accumulate data
5. Evaluate performance vs backtest
6. If successful → small live test
7. If unsuccessful → iterate or change strategy

### Red Flags

* Performance 50%+ worse than backtest
* Frequent execution errors
* Risk limits not working
* Unexpected trade behavior
* Connection/data issues
* Much higher drawdowns

### Success Criteria

* Performance within 20% of backtest
* Risk management working correctly
* No technical issues
* Acceptable drawdowns
* Comfortable with behavior
* 2+ weeks consistent operation

***

Paper trading is not optional. It's the critical bridge between backtest and live trading. Take it seriously, but remember: even successful paper trading doesn't guarantee live success. Start small when going live.

**Related:** [Backtesting Guide](/quantsedge-docs/strategy-lab/backtesting.md) | [Live Trading Guide](https://github.com/quantsedgeai/app/blob/wonk/docs/guides/strategy-lab/live-trading.md) | [Performance Analysis](/quantsedge-docs/strategy-lab/performance-analysis.md)


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