How to Create a Simple Deriv Bot Strategy (Step-by-Step Beginner Guide)
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Automated trading is becoming increasingly popular among online traders. Instead of manually opening and closing positions, traders now use bots to execute trades automatically based on predefined rules.
On platforms like Deriv, users can create automated strategies using Deriv Bot (also known as DBot) — a visual, block-based tool that allows you to build a trading system without coding.
In this guide, you will learn:
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What Deriv Bot is
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How automated strategies work
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How to create a simple bot strategy step by step
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How to apply proper risk management
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Common mistakes to avoid
This tutorial is designed for beginners and focuses on clarity, not hype.
What Is Deriv Bot?
Deriv Bot is a visual strategy builder available on the Deriv platform. It allows traders to create automated trading systems using drag-and-drop blocks instead of writing code.
With Deriv Bot, you can:
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Define entry conditions
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Set stake amounts
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Apply stop-loss and take-profit
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Automate trading logic
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Backtest your strategy
It works mainly with synthetic indices and other available markets on the platform.
Important note: A trading bot is only as good as the logic behind it. It does not eliminate risk.
You can learn more about its core features in the official Deriv Bot guide. Automated strategies should still follow predefined rules. Understanding how to build a trading plan helps traders structure their bot settings more effectively.
How Automated Trading Strategies Work
Before building a bot, you need to understand what makes up a strategy.
A basic trading strategy consists of:
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Market selection
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Entry condition
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Trade type
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Stake size
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Risk management rules
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Exit conditions
Your bot simply follows instructions. It does not think or predict.
For example:
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If the last digit is even → buy a Digit Odd contract
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If volatility increases → reduce stake size
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If 3 losses occur → stop trading
The logic must be clear and consistent.
Some traders consider using a doubling system after losses. Before doing that, read our detailed Martingale risk analysis to understand the potential danger behind it.
Step 1: Define a Simple Strategy Logic
For beginners, keep it simple.
Example beginner logic:
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Market: Volatility 75 Index
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Trade Type: Digit Over 5
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Stake: $1
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Duration: 1 tick
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Stop after 5 consecutive losses
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Take profit after $10
This type of strategy is simple enough to understand and test.
Avoid complex systems at the beginning.
Step 2: Access Deriv Bot
To create your strategy:
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Log in to your Deriv account
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Open Deriv Bot (DBot)
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Choose your market
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Start with a blank template
You will see block categories such as:
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Trade parameters
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Purchase conditions
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Risk management
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Utility blocks
These blocks are combined to form your logic.
Step 3: Set Trade Parameters
Start with the basic setup:
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Select market (e.g., Volatility 75 Index)
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Choose contract type (Digit Over)
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Set duration (1 tick)
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Set barrier (5)
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Set stake amount ($1)
These blocks define what kind of trade your bot will execute.
Keep the stake small while testing.
Step 4: Add Purchase Condition
For a simple beginner strategy, you can use a basic repeating condition.
Example:
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After each trade ends
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Immediately start a new trade
This creates a continuous execution loop.
However, this is very aggressive. A better beginner method is:
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Wait for previous trade result
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Check win/loss
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Adjust stake only if necessary
Step 5: Add Risk Management
Risk management is the most important part of your strategy.
Without it, your bot can drain your balance quickly.
Minimum safety rules:
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Set maximum loss limit (example: $20)
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Set take profit (example: $10)
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Stop after X consecutive losses (example: 5)
Never rely solely on increasing stake after losses.
Martingale-style systems are popular but dangerous if not controlled. Understanding risk management in trading is essential before automating any strategy.
Step 6: Add Stop Conditions
Every bot must know when to stop.
Example stop logic:
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If total profit ≥ $10 → stop bot
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If total loss ≥ $20 → stop bot
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If 5 consecutive losses → stop bot
This prevents emotional overtrading.
Automated trading should reduce emotional mistakes, not create larger ones.
Step 7: Test on Demo First
Never start with real funds.
Use a demo account to:
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Observe win/loss distribution
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Measure drawdown
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Evaluate stability
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Check execution speed
Run the bot for at least 100–200 trades before judging performance.
Short testing periods can be misleading.
Example of a Simple Beginner Structure
Here is a structured example of a conservative beginner setup:
Market: Volatility 50 Index
Contract: Digit Over 5
Stake: $0.50
Duration: 1 tick
Take Profit: $5
Stop Loss: $10
Max consecutive losses: 5
This type of strategy focuses on controlled exposure rather than fast profit.
Understanding the Risk Behind Bot Trading
Many beginners assume automation equals guaranteed profit.
That is incorrect.
A bot:
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Executes faster
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Removes emotional hesitation
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Follows fixed rules
But it does not:
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Predict the market
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Eliminate randomness
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Guarantee outcomes
Synthetic indices are designed to simulate volatility. Results are probabilistic.
Always assume risk exists.
Common Beginner Mistakes
1. Using High Stakes Too Early
Starting with large amounts increases drawdown pressure.
Keep stakes small during testing.
2. Overcomplicating the Strategy
Adding too many indicators and rules creates confusion.
Simple logic is easier to evaluate.
3. No Stop-Loss
Running a bot without a maximum loss limit is extremely risky.
Always define capital protection.
4. Blindly Using Martingale
Increasing stake after every loss can multiply risk quickly.
If used, it must have:
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Maximum step limit
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Clear stop condition
5. Not Backtesting Enough
Testing for 10 trades is meaningless.
You need a large sample size.
If your setup still struggles, explore the most common automated trading mistakes traders make.
How to Improve a Simple Bot Strategy
After testing your basic setup, you can improve it by:
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Adding volatility filters
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Reducing stake after losses
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Pausing after consecutive losses
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Limiting daily trade count
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Trading only during specific time windows
But improve gradually.
Change one variable at a time.
Psychological Benefits of Using a Bot
Automation can help with:
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Avoiding revenge trading
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Reducing emotional bias
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Maintaining discipline
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Following a consistent plan
However, emotional mistakes can still happen if you constantly interfere with the bot.
Trust your testing process.
Should Beginners Use Deriv Bot?
It depends on your goals.
Bots can be useful if:
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You understand risk
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You accept losses as part of probability
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You focus on long-term sustainability
They are not suitable if:
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You expect guaranteed returns
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You plan to recover losses aggressively
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You do not understand drawdown
Education should come first. You can explore Deriv Bot inside your trading dashboard and experiment with simple setups in a controlled environment before making adjustments.
Final Thoughts
Creating a simple Deriv Bot strategy is not about building something complex.
It is about:
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Defining clear logic
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Applying strict risk management
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Testing consistently
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Staying disciplined
Start small.
Focus on understanding how probability and volatility work.
Automation is a tool — not a shortcut to profit.
When used responsibly, it can help structure your trading process and reduce emotional mistakes.
But like all trading activities, it carries risk.
The author writes educational content focused on automated trading systems, probability-based strategies, and risk management principles. Content is designed to help beginners understand trading tools realistically and responsibly, with an emphasis on discipline and long-term learning.
Disclaimer: This content is for educational purposes only and does not constitute financial advice.
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