Analytics

Comprehensive performance tracking and trade analysis across all your accounts. Analytics provides detailed insights into your trading performance with charts, statistics, and trade-by-trade breakdowns.

What’s in Analytics?

1. Performance Metrics

High-level stats at a glance Shows:

Total Trades (closed positions)
Win Rate (% of profitable trades)
Total P/L (aggregate profit/loss)
Average Profit (per trade)
Best Trade (highest profit)
Worst Trade (biggest loss)

2. Equity Curve

Visual chart of account growth X-axis: Time (date/time of trades) Y-axis: Account balance Shows:

Starting balance
Current balance
Growth trajectory
Drawdown periods
Recovery periods

Interactive: Hover over points to see exact balance at that time

3. Trade History Table

Detailed list of all closed trades Columns:

Symbol (trading pair)
Type (BUY/SELL)
Volume (lot size)
Entry Price
Exit Price
Profit/Loss
Open Time
Close Time
Duration
Account

Sortable: Click column headers to sort Filterable: Use filters to narrow down

4. Filters

Filter trades by: Date Range:

Today
Last 7 days
Last 30 days
Last 90 days
Custom range

Account:

All accounts
Specific account(s)

Symbol:

All symbols
Specific pair(s)

Result:

All trades
Winners only
Losers only

Using Analytics

Step 1: Select Date Range

Default: Last 30 days To change:

Click Date Range dropdown
Select preset (Today, 7 days, 30 days, 90 days)
OR click “Custom” → Pick start/end dates
Data refreshes automatically

Step 2: Filter by Account (Optional)

Show trades from specific accounts:

Click Account filter
Check/uncheck accounts
Only selected accounts’ trades show

Use case: Compare performance across accounts

Step 3: Filter by Symbol (Optional)

Show trades for specific pairs:

Click Symbol filter
Select symbol(s) from list
Only those symbols show

Use case: “How am I performing on EURUSD vs GBPUSD?”

Step 4: Analyze Data

Review metrics:

Is win rate improving?
Is average profit increasing?
Where are biggest losses?

Study equity curve:

Smooth growth = consistent
Sharp drops = risky trades
Long flat periods = no trading

Drill into trades:

Click trade row to see details
Find patterns in losers
Replicate winners

Key Metrics Explained

Total Trades

Count of closed positions Formula: Number of trades closed in date range Example: 45 total trades Good or bad? Depends on strategy

Scalper: 100+/day is normal
Swing trader: 5/week is normal

Win Rate

Percentage of profitable trades Formula: (Winning trades ÷ Total trades) × 100 Example: 27 wins, 18 losses = 60% win rate Benchmarks:

Below 40% = Poor
40-50% = Average
50-60% = Good
Above 60% = Excellent

Note: Can be profitable with \u003c50% win rate if winners \u003e\u003e losers

Total P/L

Aggregate profit or loss Formula: Sum of all closed trade P/L in date range Example: +

1,234.56 (profitable) or -

567.89 (losing) This is: Net result across all trades In account currency: USD, EUR, etc.

Average Profit

Average P/L per trade Formula: Total P/L ÷ Total Trades Example:

Total P/L: $500
Total Trades: 50
Average: $10/trade

Interpretation:

Positive = Profitable on average
Negative = Losing on average
Close to $0 = Breakeven

Best Trade

Highest single trade profit Example: +$345.67 (EURUSD long) Look for: What made this trade successful?

Setup quality
Entry timing
Risk/reward ratio

Goal: Replicate this

Worst Trade

Biggest single trade loss Example: -$123.45 (GBPUSD short) Look for: What went wrong?

Ignored SL?
Bad entry?
News event?

Goal: Avoid repeating

Equity Curve Analysis

Healthy Equity Curve

Characteristics:

✅ Smooth upward trend
✅ Small pullbacks
✅ Consistent growth
✅ Quick recovery from drawdowns

Example:

Balance
  $11,000 |                    /---
  $10,500 |                /---
  $10,000 |----/---/---/---
   $9,500 |
           |_____________________
           Jan  Feb  Mar  Apr

Indicates: Consistent, low-risk strategy

Unhealthy Equity Curve

Characteristics:

❌ Sharp drops
❌ Long flat periods
❌ Recovery slower than drawdown
❌ Lower highs

Example:

Balance
  $11,000 |\
  $10,500 | \___
  $10,000 |     \    /--
   $9,500 |      \__/
           |_____________________
           Jan  Feb  Mar  Apr

Indicates: High risk, inconsistent results

Trade History Deep Dive

Reading the Table

Green rows = Profitable trades Red rows = Losing trades White/Gray = Breakeven Sort by:

P/L → See best/worst trades first
Duration → Find long-running trades
Symbol → Group by pair

Analyzing Patterns

Questions to ask: 1. What symbols are most profitable?

Filter by symbol
Check Total P/L for each
Focus on winners

2. What time of day works best?

Look at Open Time column
Group by hour
Find patterns

3. How long should I hold trades?

Check Duration column
Compare winners vs losers
Adjust strategy

4. Are my losses controlled?

Look at worst trades
Check if SL was hit
Verify risk management

Common Use Cases

Weekly Performance Review

Every Friday:

Set date range: Last 7 days
Check Total P/L (profitable week?)
Review win rate (improving?)
Study worst trades (what to avoid?)
Check equity curve (smooth growth?)

Goal: Identify what worked, what didn’t

Symbol Performance Comparison

Which pairs are best?

Filter by Symbol: EURUSD
Note Total P/L + Win Rate
Repeat for GBPUSD, USDJPY, etc.
Rank by profitability
Trade more of top performers

Goal: Focus on profitable pairs

Account Performance Comparison

How are different accounts doing?

Filter by Account A
Note metrics
Filter by Account B
Compare

Example:

FTMO: 65% win rate, +$500
Live: 45% win rate, -$200

Action: Fix live account strategy

Drawdown Analysis

Finding and fixing losing streaks

Look at equity curve
Find sharp drops (drawdowns)
Note dates
Filter trade history to those dates
Find pattern in losses

Common patterns:

Overtrading (too many trades)
Revenge trading after loss
Trading during news

Goal: Identify behavior to fix

Interpreting Results

Good Performance Indicators

✅ Win rate \u003e 50% ✅ Positive Total P/L ✅ Average profit \u003e $0 ✅ Equity curve trending up ✅ Worst loss \u003c Best win (asymmetric risk/reward) ✅ Consistent weekly profits

Warning Signs

⚠️ Win rate \u003c 40% ⚠️ Negative Total P/L ⚠️ Equity curve flat or down ⚠️ Big losses frequent ⚠️ Long losing streaks ⚠️ Erratic equity curve Action: Review strategy, reduce risk, or pause trading

Export Data (Coming Soon)

Future feature: Export trade history to CSV Use for:

Excel analysis
Tax reporting
External tracking tools
Custom analytics

Analytics vs History vs Alerts

What’s the difference?

Page	Shows	Source	Use For
Analytics	Performance stats + charts	Closed trades from all sources	Strategy analysis
History	Raw trade list	Webhook executions	Audit trail
Alerts	Webhook signals	Webhook logs	Debugging automation

Analytics = High-level insights History = Detailed trade data Alerts = Signal-level debugging

Best Practices

✅ DO:

Review weekly
- Every Friday or Monday
- Check performance trends
- Adjust strategy if needed
Track specific metrics
- Focus on 3-5 key stats
- Monitor consistently
- Set improvement goals
Use filters effectively
- Isolate winning symbols
- Find losing patterns
- Compare time periods
Study equity curve
- Check for drawdowns
- Ensure consistent growth
- Identify risk periods
Learn from trades
- Review best trades (replicate)
- Review worst trades (avoid)
- Find patterns

❌ DON’T:

Don’t obsess over every trade
- Focus on overall trends
- One bad trade ≠ bad strategy
Don’t ignore warning signs
- Consecutive losses = pause trading
- Sharp drawdown = reduce risk
- Low win rate = review strategy
Don’t compare short periods
- 1 week ≠ statistically significant
- Need \u003e 100 trades for patterns
- Long-term trends matter most
Don’t trade to improve stats
- Don’t revenge trade to boost win rate
- Quality \u003e Quantity
- Strategy first, metrics second

Tips for Better Analysis

Use longer date ranges for insights

Short-term (7 days): Too noisy, luck-basedMedium-term (30 days): Good for monthly reviewLong-term (90+ days): Best for pattern recognitionRecommendation: Analyze 90+ days, review 30 days, adjust weekly

Track progress over time

Take monthly snapshots:

Month 1: 45% win rate, -$100
Month 2: 52% win rate, +$200
Month 3: 58% win rate, +$450

Trend: Improving! Keep going.

Combine filters for deep insights

Example:

Date: Last 90 days
Account: FTMO Challenge
Symbol: EURUSD
Result: Winners only

Question: What made my EURUSD winners successful on FTMO?Find patterns: Entry time, duration, setup type

Set realistic benchmarks

Don’t compare to:

Trading gurus (cherry-picked results)
Unrealistic YouTube ads

Do compare to:

Your past performance
Industry averages (50% win rate, 1.5:1 R:R)
Your strategy’s theoretical max

Troubleshooting

No data showing

Reasons:

No closed trades → Trade and close positions first
Date range too narrow → Expand to 30+ days
All accounts filtered out → Reset filters

Analytics only shows closed trades, not open positions

Metrics don't match broker

Check:

Same date range?
Same account?
Closed vs open trades (Analytics = closed only)

If still different: Contact support with screenshots

Equity curve looks wrong

Possible:

Deposits/withdrawals show as P/L
Multiple accounts combined
Currency conversion issues

Fix: Filter to single account, check for deposits in date range

Next Steps

Start Trading

Trade to generate analytics data

Automation

Automate trades via webhooks

Copy Trading

Copy trades across accounts

Remember: You need closed trades to see analytics. Start trading, then come back here to analyze performance!

Terminal

Automation

Copy Trading

Analytics

​Analytics

​What’s in Analytics?

​1. Performance Metrics

​2. Equity Curve

​3. Trade History Table

​4. Filters

​Using Analytics

​Step 1: Select Date Range

​Step 2: Filter by Account (Optional)

​Step 3: Filter by Symbol (Optional)

​Step 4: Analyze Data

​Key Metrics Explained

​Total Trades

​Win Rate

​Total P/L

​Average Profit

​Best Trade

​Worst Trade

​Equity Curve Analysis

​Healthy Equity Curve

​Unhealthy Equity Curve

​Trade History Deep Dive

​Reading the Table

​Analyzing Patterns

​Common Use Cases

​Interpreting Results

​Good Performance Indicators

​Warning Signs

​Export Data (Coming Soon)

​Analytics vs History vs Alerts

​Best Practices

​✅ DO:

​❌ DON’T:

​Tips for Better Analysis

​Troubleshooting

​Next Steps

Start Trading

Automation

Copy Trading

Analytics

What’s in Analytics?

1. Performance Metrics

2. Equity Curve

3. Trade History Table

4. Filters

Using Analytics

Step 1: Select Date Range

Step 2: Filter by Account (Optional)

Step 3: Filter by Symbol (Optional)

Step 4: Analyze Data

Key Metrics Explained

Total Trades

Win Rate

Total P/L

Average Profit

Best Trade

Worst Trade

Equity Curve Analysis

Healthy Equity Curve

Unhealthy Equity Curve

Trade History Deep Dive

Reading the Table

Analyzing Patterns

Common Use Cases

Interpreting Results

Good Performance Indicators

Warning Signs

Export Data (Coming Soon)

Analytics vs History vs Alerts

Best Practices

✅ DO:

❌ DON’T:

Tips for Better Analysis

Troubleshooting

Next Steps