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304 North Cardinal St.
Dorchester Center, MA 02124

Imagine having a trading system that works 24/7, never gets emotional, and executes your strategy perfectly every single time. Sounds like something only programmers with years of experience could build, right?
Wrong.
Deriv’s DBot has changed everything. It’s a visual programming platform that lets anyone—yes, even complete beginners—create sophisticated trading bots by simply dragging and dropping blocks. No coding knowledge required.
This is the future of automated trading, and it’s available right now.
DBot is Deriv’s browser-based bot builder that uses visual programming. Think of it like building with LEGO blocks, except each block represents a trading instruction.
What makes it different:
The big picture: What used to require hiring a $500 programmer and weeks of coding can now be done by anyone in minutes.
Manual trading has inherent problems:
Human limitations:
Bot advantages:
The result: Bots eliminate the psychological component that destroys most traders’ accounts.
Click here to access DBot and let’s build your first bot.
When you open DBot, you’ll see three main sections:
Dashboard: Your bot library and quick stats Bot Builder: Where you create and edit bots Charts: Live market data and bot performance
The workspace: A blank canvas where you drag blocks to build your strategy.
Let’s create a simple but profitable strategy:
The “Rise/Fall Trend Bot”
That’s it. This simple bot follows the trend and uses position sizing to recover losses.
Before risking real money:
Testing period: Run for minimum 100 trades before going live.

DBot comes with proven templates you can use immediately:
Strategy: Double stake after loss, reset after win Best for: Ranging markets, short-term trades Risk level: Medium-high (requires bankroll) Win rate: 60-70% but large drawdowns possible
Strategy: Increase stake by 1 unit after loss, decrease after win Best for: Steady profits, lower risk than Martingale Risk level: Medium Win rate: 55-65% with smaller swings
Strategy: Increase stake after wins, maintain after losses Best for: Trending markets Risk level: Low-medium Win rate: 50-60% but excellent risk control
Strategy: Progressive betting sequence Best for: Catching winning streaks Risk level: Medium Win rate: 45-55% but big wins possible
Strategy: Double stake after wins, reset after loss Best for: Trending markets, momentum Risk level: Low (losses are limited) Win rate: 40-50% but huge upside potential
Pro tip: Start with a template, test it, then modify blocks to improve performance.
Understanding these blocks unlocks infinite possibilities:
Market selection:
Trade types:
Duration options:
Conditions (if/then):
If [condition] then [action]
Else [different action]
Comparisons:
Math operations:
Indicators available:
Example: Buy “Rise” when price > 20 EMA
Position sizing:
Stop loss:
Take profit:
Once you understand the basics, try these proven systems:
Logic:
Markets: Volatility 50 or 75 Expected win rate: 55-60% Why it works: Catches momentum in trending moves
Logic:
Markets: Volatility 75 or 100 Expected win rate: 60-65% Why it works: Mean reversion in volatile markets
Logic:
Markets: Crash 500 or Boom 500 Expected win rate: 50-55% but high RR Why it works: Captures explosive moves
Logic:
Markets: Any forex pair Expected win rate: 65-70% Why it works: Multi-timeframe reduces false signals
Logic:
Markets: EUR/USD or GBP/USD Expected win rate: 55-60% Why it works: Better execution during liquid hours
A good strategy with bad money management fails. A mediocre strategy with excellent money management succeeds.
Never risk more than 1% per trade.
Example: $1,000 account = $10 max stake
This lets you survive 100 consecutive losses (which won’t happen with a decent bot).
For Martingale bots (double after loss):
For fixed stake bots:
Every bot needs these safety limits:
Maximum loss per session: 5% of account Maximum daily trades: 50-100 (prevents overtrading) Losing streak stop: 5-7 consecutive losses Drawdown threshold: Stop at 15% account loss
How to implement: Use DBot’s stop loss blocks to enforce these automatically.
Set realistic goals:
Daily target: 2-5% of account Weekly target: 10-20% of account Monthly target: 30-50% of account
Once hit, stop for the day/week. Protect your profits.
The trap: Tweaking your bot until it’s “perfect” in backtests The reality: Over-optimized bots fail in live markets The fix: Keep strategies simple, test on demo for weeks
The trap: Running a bot live after 10 successful trades The reality: Small sample size, luck masquerading as edge The fix: Minimum 200 trades on demo before going live
The trap: Focusing only on win rate and total profit The reality: Drawdowns determine if you can survive long enough to profit The fix: Track maximum drawdown, ensure it’s under 30%
The trap: “I’ll just keep doubling until I win” The reality: 10 losses in a row = 1,024x your initial stake The fix: Set maximum martingale level (3-5 steps max)
The trap: “More bots = more profit” The reality: Account fragmentation, impossible to manage The fix: Start with 1-2 bots, add more only after proving profitability
The trap: Running bots without reviewing results The reality: You don’t know what’s working or failing The fix: Check stats daily, keep a spreadsheet of performance
How does DBot compare to other methods?
| Feature | DBot | Manual Trading | MT5 EAs |
|---|---|---|---|
| Coding required | No | N/A | Yes (MQL5) |
| Setup time | 5-10 minutes | Immediate | Hours to days |
| Cost | Free | Free | $0-$500+ per EA |
| Customization | High | Full control | Very high |
| Learning curve | Easy | Medium | Hard |
| 24/7 operation | Yes | No | Yes (requires VPS) |
| Strategy testing | Built-in | Manual | Advanced tester |
| Best for | Beginners to intermediate | All levels | Advanced traders |
The verdict: DBot is perfect for beginners and intermediate traders who want automation without the complexity and cost of traditional EAs.
Let’s set realistic expectations:
Beginner bot traders (Month 1-3):
Intermediate bot traders (Month 3-6):
Advanced bot traders (6+ months):
Important: These are averages. Some months will be better, some worse. Consistency over time is what matters.
Don’t just watch your balance. Track these:
Win rate: Percentage of winning trades (target: 55%+) Profit factor: Total wins / total losses (target: 1.5+) Average win: Average profit per winning trade Average loss: Average loss per losing trade Max drawdown: Largest peak-to-valley decline (keep under 30%) Sharpe ratio: Risk-adjusted returns (higher is better) Max consecutive losses: Longest losing streak (prepare mentally and financially)
DBot analytics: All of these are tracked automatically in your dashboard.
Once comfortable, level up with these:
Run different bots on different markets:
Benefit: Diversification reduces risk, smooths equity curve
Create bots that only trade during optimal hours:
Benefit: Better execution, fewer false signals
Adjust stake based on recent performance:
Benefit: Compound winners, protect during losing streaks
Layer multiple indicators for higher probability:
Benefit: Fewer but higher quality trades
Possible causes:
Fix: Check each block, verify logic, test on demo
Possible causes:
Fix: Stop bot, review last 50 trades, identify pattern, adjust or switch strategies
Possible causes:
Fix: Check stop loss settings, ensure sufficient balance, use stable internet
Bots aren’t “set and forget.” They need regular care:
Even automated trading has mental challenges:
The temptation: Stop the bot after 3 losses The reality: Variance is normal, 3 losses means nothing The solution: Commit to minimum 100 trades before judging
The temptation: Adjust parameters after every losing day The reality: Changing too often prevents gathering meaningful data The solution: Make changes only after significant sample (200+ trades)
The temptation: Expect 100% win rate, steady profits daily The reality: Losing streaks happen, drawdowns are normal The solution: Focus on monthly/quarterly results, not daily swings
The temptation: After a good week, massively increase stakes The reality: Mean reversion, big drawdown coming The solution: Increase stakes gradually (10-20% at a time)
Protect your bots and account:
Once profitable, here’s how to grow:
Traditional barriers to automated trading have fallen:
Old way: Hire programmer for $500+ and weeks of development DBot way: Build in 10 minutes for free
Old way: Learn complex MQL5 programming language DBot way: Drag and drop visual blocks
Old way: Rent VPS server for $30/month DBot way: Runs on Deriv’s servers 24/7 free
Old way: Limited to MT5 compatible markets DBot way: Access all Deriv markets including synthetics
The result: Anyone can now compete with professional algorithmic traders.
You’re 10 minutes away from your first trading bot.
Action plan:
Remember: The best time to start was yesterday. The second best time is right now.
The future of trading isn’t about spending hours glued to charts. It’s about designing systems that work for you while you sleep, work, or enjoy life.
Click here to build your first bot now and join the automated trading revolution.
Risk Disclaimer: Automated trading involves substantial risk. Bots can lose money, especially with aggressive strategies like Martingale. Never risk more than you can afford to lose. Past performance of strategies does not guarantee future results. Always test thoroughly on demo accounts before using real money.
Questions about building your bot? Drop a comment below and I’ll help you out.