How to Track Bot Performance in Real Time Using Selva Analytics

Introduction

Launching a crypto trading bot is just the beginning. To succeed long-term, you need insights—reliable, timely, and actionable data. That’s where Selva Analytics comes in. Integrated directly into the Selva Corebit platform, this feature-rich dashboard gives Canadian traders everything they need to evaluate and adjust their trading bots in real time.

In this guide, you’ll learn how to interpret Selva Analytics data, what key metrics to focus on, and how to fine-tune your bots based on real-time performance insights.


Why Real-Time Analytics Matter

Crypto markets are volatile, fast-moving, and globally connected. Even the best bots require oversight to ensure they stay aligned with your trading strategy and risk profile.

Real-Time Tracking Benefits:

  • Detect underperformance early
  • Identify market shifts instantly
  • Compare strategy vs. outcome
  • Adjust without halting trades
  • Visualize PnL evolution over time

Selva Analytics Dashboard Overview

Upon launching a bot in Selva Corebit, you gain access to an intuitive analytics panel. It offers real-time, hourly, daily, and historical views across several performance categories.

🖥️ Main Components of the Dashboard:

SectionDescription
Live Trade FeedSee every trade executed, with timestamp and rationale
Performance GraphsVisualize cumulative ROI, profit/loss, and drawdowns
Trade MetricsWin rate, average holding time, profit per trade
Risk ProfileVolatility, exposure, margin used
AlertsCustom notifications on bot behaviors or performance

Key Metrics to Monitor

1. ROI Over Time

This is your big-picture indicator. A positive trend suggests the bot is effective under current conditions.

Tip: Compare ROI by week/month to detect cycles or slumps.

2. Win/Loss Ratio

Evaluates trading accuracy. A high volume of trades with low win rate may still be profitable—so analyze alongside PnL per trade.

3. Maximum Drawdown

Critical for capital protection. This shows the largest portfolio decline during a given timeframe.

4. Trade Frequency

Too few trades may signal missed opportunities; too many can indicate overtrading or excessive sensitivity.

5. Time in Trade

Helps identify if your strategy is long-term (AdaptBot) or ultra-short-term (ScalpBot), and whether it matches your expectations.


Live Trade Feed: Reading Between the Lines

The Live Feed shows granular data on every position opened and closed. This includes:

  • Timestamp
  • Exchange used
  • Pair traded
  • Order type (Market/Limit)
  • Reason (AI signal, trailing stop, DCA, etc.)

Pro Tip: Look for repeated patterns in entry/exit timing. It can reveal overfitting or inefficiency.


Setting Custom Alerts

Selva Corebit allows you to configure alerts for real-time monitoring. You’ll receive email or in-dashboard pings based on:

  • Daily loss limits hit
  • Drawdown thresholds breached
  • Number of trades in a set timeframe
  • ROI falling below benchmark

These alerts enable prevention, not reaction—crucial in crypto where 15 minutes can change the game.


Using Analytics to Optimize Your Bot

Here’s how Selva Analytics helps you evolve from passive user to active optimizer.

🟢 Step 1: Review Weekly Performance Summary

Identify patterns: Did performance drop due to market conditions or poor strategy?

🔵 Step 2: Compare Bots Side-by-Side

Use the multi-bot performance comparison view to decide which strategies outperform and which need a reset.

🟡 Step 3: Adjust Settings Mid-Run

Modify stop-loss levels, change intervals, or shift to another trading pair—without disabling the bot.

🔴 Step 4: Use Backtesting + Live Data Together

Overlay current performance on historical benchmarks to validate consistency.


Example Dashboard Snapshot

MetricBot A (ScalpBot)Bot B (AdaptBot)
Weekly ROI+6.2%+2.8%
Win Rate58%72%
Max Drawdown-3.5%-1.2%
Trade Frequency (Daily)405
Average Holding Time12 mins4 hours

ScalpBot generates higher returns but at higher volatility. AdaptBot offers smoother growth.


Common Mistakes to Avoid

  1. Relying on ROI alone — Combine ROI with drawdown and volatility.
  2. Not setting alerts — Without alerts, you miss time-sensitive shifts.
  3. Ignoring analytics for too long — Even passive traders should check weekly.
  4. Comparing bots with different strategies unfairly — Timeframe and trade style matter.

Conclusion: Monitor to Multiply

A crypto bot is only as good as your understanding of its behavior. Selva Analytics puts powerful performance data at your fingertips—without requiring spreadsheets, coding, or third-party tools.

If you’re serious about using bots for long-term profit, then analytics isn’t optional—it’s essential.


💬 Ready to take full control of your trading bots?

👉 Log in to Selva Corebit, open your bot dashboard, and activate Selva Analytics to begin tracking your real-time performance like a pro.

Leave a Reply

Your email address will not be published. Required fields are marked *