Deriv Bot (DBot)

Deriv Bot, or DBot, isn’t your typical binary signal service that spits out buy or sell alerts. It’s an automated trading system built into the Deriv platform, allowing you to create your own signal logic using a drag-and-drop strategy builder. Instead of relying on someone else’s algorithm, you define the exact conditions that trigger a trade, and DBot executes it for you in real time.

Visit Deriv’s DBot

Headlines

  • DBot stands apart from most broker-run “signal” tools, earning an 8.3/10 during testing. Where others spoon-feed unverified trading ideas, Deriv hands you the keys to build a rules-based environment.
  • We found DBot surprisingly easy to use, stable, and transparent during testing. Over roughly 30 demo trades, our best-performing bots achieved win rates around 62–66%, with losses contained thanks to automated stop logic.
  • When we deliberately created a flawed setup, stacking conflicting indicators or using overly tight thresholds, the bot exposed those flaws instantly. That reinforced an important point: DBot doesn’t make you a better trader, but it makes you more disciplined.
  • However, if you want a plug-and-play win rate, DBot probably isn’t for you. Success depends entirely on the quality of the strategy you create.

Pros & Cons

Pros

  • Completely free to use: DBot is available to every Deriv account holder with no hidden costs, paid tiers (used by some binary brokers), or limited features.
  • True transparency: You design every rule yourself, so you know exactly what triggers each trade; no black-box algorithms or marketing hype.
  • Powerful automation without coding: The drag-and-drop interface makes it easy to build complex logic using indicators like Moving Averages, RSI, and Bollinger Bands.
  • Built-in risk controls: Stop blocks, profit caps, and max trade limits work automatically, enforcing discipline and protecting your balance.
  • Stable and reliable execution: During our tests, orders fired instantly when signal conditions were met, with no freezing or lag.

Cons

  • No preset win rate: There’s no plug-and-play signal accuracy figure; performance depends entirely on the strategy you build.
  • Browser-dependent unless hosted: By default, DBot stops when you close your session unless you move it to a VPS or API connection.
  • Learning curve for new users: The visual builder is simple, but effective bot design still requires understanding indicators and risk logic.
  • Limited backtesting history: You can view trade logs, but annoyingly you cannot run long historical backtests directly within DBot itself.
  • Potential to overfit: With unlimited freedom comes the temptation to over-tune parameters to past data, which can hurt live results.

How To Use DBot

When you open DBot from the main Deriv dashboard, you’ll see a workspace made up of visual building blocks. Each block represents a command or rule, for example:

  1. If Relative Strength Index crosses below 30, buy the contract
  2. If profit reaches $10, stop the bot
  3. If Moving Average trend is down, don’t open trades

You can chain these rules together into a complete signal sequence without writing a single line of code. The interface is intuitive enough to design and launch a simple trading bot in under 10 minutes.

DBot supports several built-in indicators, including Moving Averages, MACD, Bollinger Bands, and Relative Strength Index (RSI). You can also fine-tune parameters like timeframe, trade size, and payout target.

Once the logic is set, DBot monitors live market data from Deriv’s servers, automatically executing trades whenever your signal conditions are met.

DBot configuration

DBot dashboard

You can also run DBot on multiple assets simultaneously, including forex pairs, synthetic indices, commodities, and cryptocurrencies, all within the same interface. Because it’s browser-based, it runs continuously as long as your tab or session stays active, though more advanced users can host it on Deriv’s cloud or link through API for uninterrupted operation.

What stands out is how transparent the process felt compared with the usual “black box” signal services we’ve tested. You know exactly why a trade is taken because you built the logic yourself. That’s a big plus if you’re the kind of trader who wants control and traceability instead of mystery algorithms and unverifiable win-rate claims.

Claims vs Reality

What Deriv claims:

Deriv presents DBot as a no-code automation tool that lets traders “build a bot, set it running, and let it trade for you.”

The company emphasizes transparency, speed, and smart execution, all of which are built on Deriv’s in-house data feeds.

Marketing materials mention that the bot can use up to 50 custom blocks, combine multiple technical indicators, and manage trades using profit and loss limits automatically.

What’s notably different from some other platforms’ “signal” claims is that Deriv doesn’t promise a specific win rate or edge. Instead, it emphasizes control; you get out what you put in.

The idea is that DBot simply executes your logic perfectly, without emotion or hesitation. Accuracy, therefore, depends entirely on how well you design the conditions behind each signal trigger.

What we found during testing:

We tested DBot across several short-term setups, mainly using synthetic indices like the Volatility 75, and a few forex pairs like EUR/USD and GBP/USD. Each bot used a simple combination of RSI, Moving Average, and profit target/stop blocks to simulate a realistic retail setup.

In terms of execution, DBot performed smoothly, with no missed trades or platform freezes. Signals were triggered exactly when our indicator conditions were met, and the bot reacted instantly, even during higher-volatility bursts.

That level of responsiveness stood out compared with many broker-based signal systems, which often lag behind live price data.

However, results varied depending on market type. On synthetic indices, which run 24/7, the bots behaved consistently and gave stable data to back-test ideas. On live forex pairs, outcomes were less predictable due to fast directional shifts.

Over roughly 30 trades, our basic setups produced win rates of between 55% and 63%, depending on asset and parameter tuning, entirely in line with expectations for rule-based signals without discretionary intervention.

Summary:

Deriv doesn’t exaggerate what DBot can do. The performance matched the promise: it executes your logic faithfully and efficiently. But the key is that DBot doesn’t create an edge; it just automates it. Your results will rise or fall based on the strength of your strategy, not the bot’s code.

In practice, DBot’s biggest “win” isn’t about accuracy; it’s about removing emotion, enforcing discipline, and letting you test ideas fast. For traders who thrive on data, iteration, and structure, that’s far more valuable than any claimed win-rate figure.

Range of Assets Covered

One of DBot’s biggest strengths is its access to a wide selection of assets under the Deriv ecosystem. When we ran our tests, we were able to deploy bots on:

  • Forex pairs: Majors, minors, and exotics such as EUR/USD, GBP/JPY, and USD/ZAR
  • Synthetic indices: Unique to Deriv, including Volatility, Boom & Crash, and Step indices
  • Commodities: Gold, silver, oil, and a few energy markets
  • Cryptocurrencies: Bitcoin, Ethereum, and several others

The real standout is the synthetic indices range – this is what really piqued our interest while using the service. Because they run 24/7 and are generated by Deriv’s proprietary price engine, they provide consistent volatility and smooth data, suited for automated testing and fine-tuning signal logic.

We found these markets to be the most reliable for back-to-back DBot testing, as they’re never affected by news releases or liquidity gaps.

How Signals Are Triggered

Unlike traditional binary brokers that feed you ready-made alerts, DBot’s signals are entirely user-generated. You design the logic that creates them using indicator conditions such as:

  • Relative Strength Index crosses a threshold
  • Moving Averages crossover or divergence
  • Candle direction changes
  • Price action within Bollinger Bands

Once a signal condition is met, DBot instantly sends the trigger to execute a trade; there’s no manual confirmation step unless you add one deliberately.

During our trials, we saw average execution latency of less than one second between condition and order fill, even during higher tick volatility on synthetic markets.

Delivery and Execution Environment

DBot runs entirely in your browser or in the Deriv account dashboard, so you don’t need to download software or connect via an API. The bot continuously monitors real-time data as long as your browser session remains open.

For longer-term automation, traders can move DBot logic to Deriv’s cloud hosting or run it through API scripts connected to Deriv MT5 accounts.

The delivery model is fast and efficient, allowing you to build, run, and monitor everything in one place. Logs display each trade’s timestamp, entry price, contract type, and outcome, which makes it easy to review performance afterward.

We especially like that you can pause, edit, and resume a running bot mid-session without losing data, something not all brokers’ automation tools allow.

Pricing and Terms

Free Access for All Deriv Users

One of the strongest points about DBot is that it’s completely free. You don’t need to buy a subscription, pay for signals, or unlock higher tiers to use the bot builder.

As soon as you have a verified Deriv account, you can open DBot from the main dashboard and start building automated strategies right away.

Optional Costs and Add-Ons

While DBot itself is free, a few optional extras can introduce costs depending on how advanced you want to go:

  • VPS hosting: If you want the bot to run 24/7 without keeping your browser open, you can connect to a Virtual Private Server. Deriv doesn’t provide one directly, but you can link any external VPS service.
  • API integrations: For developers who want deeper customization, Deriv’s API is also free to access; however, building and maintaining scripts may require external resources or coding assistance.
  • Market exposure: Once you switch to a live account, every trade incurs normal contract costs or spreads. The automation tool doesn’t add any markup beyond that.

During our testing, we didn’t encounter any “hidden” or surprise fees. There’s no upgrade button, no “premium signals” upsell, and no push toward paid indicators. The platform’s transparency in this area stands out, especially in a trading space where automation often comes with hidden paywalls or affiliate plug-ins.

Managing Risk With DBot

One neat things about DBot is that risk management isn’t an afterthought; it’s built into the system. Every bot you design can include specific risk-control blocks that automatically stop trading, limit exposure, or protect profits when things turn against you.

For example, you can easily set:

  • A maximum number of trades per session
  • A daily loss limit or profit target that stops the bot automatically
  • Dynamic stake sizing, where your trade amount adjusts after wins or losses
  • A cool-down period between trades

During our testing, these blocks worked well. When we deliberately set tight loss caps, DBot cut trading exactly on cue and displayed a clear log message explaining why. That level of precision is rare in broker-run automation tools, and it makes DBot more secure for experimentation than systems that just keep firing trades indefinitely.

We also collated some other practical tips:

  • Always use stop logic – even on demo. It’s the best habit you can build early.
  • Start small – DBot lets you set minimum trade sizes as low as $0.35 on synthetic indices.
  • Separate test and live bots – don’t overwrite your best setups; duplicate and experiment safely.
  • Review the trade log – after each session, export results and calculate win/loss ratios manually.
  • Don’t rely on profit targets alone – set both profit and loss caps to keep the system balanced.

DBot’s structure rewards traders who treat automation seriously. The transparency and built-in safeguards make it far more forgiving than the typical “auto signal” tools we’ve tested elsewhere.

Bottom Line

Deriv’s DBot is more than a binary options signal tool; it’s a free, transparent automation engine that lets traders design, test, and execute their own edge with zero coding.

It suits traders who want full control over their trading logic, value transparency, and prefer to build data-driven strategies rather than follow generic alerts.

The platform’s free access, reliable speed, and strong risk-control tools make it one of the most credible automation features we’ve seen from a binary broker.

See our broader Deriv review.

This review is for informational/educational purposes only and is not financial advice. We ran demo trades on DBot, but results will vary by strategy, asset, timing, and market conditions, and demo outcomes can differ from live – don’t assume similar live performance.

 

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