How to choose an Orby strategy: what to consider before trading

If you have just discovered the platform, one of your first questions will probably be: how do you choose an Orby strategy?

The responsible answer is not to point to one bot and call it “the best.”

Each strategy available on Orby has its own logic, can behave differently, and provides specific parameters you can configure. The decision should therefore not start with “which one makes the most money?” but with questions such as: how does this strategy work, which market does it use, what can I configure, and what risks do I need to understand?

In this guide, you will learn a practical process for comparing the strategies available on Orby and choosing where to start with more clarity.

Before choosing: understand what Orby provides

Orby provides automated trading strategies that already have defined logic.

You do not need to build a strategy from scratch.

The basic process is:

choose a strategy → understand its logic → configure the available parameters → choose Demo or Real → start and monitor.

If you are not familiar with the full journey yet, start with our guide on how Orby works.

What separates one strategy from another is how each decides when and how to trade.

Is there a “best strategy” on Orby?

There is no strategy that can responsibly be called universally best for every person and every situation.

A strategy may:

• use a different logic;
• operate different markets;
• generate more or fewer signals;
• require more or less patience;
• provide different parameters;
• react differently under different conditions.

Past results also do not guarantee future performance.

A ranking based only on a recent sequence of trades can therefore lead to poor decisions.

Instead of looking for “the best strategy,” look for one whose logic you can understand and monitor.

First criterion: understand the strategy logic

Before configuring anything, ask:

What is this strategy trying to do?

Some strategies may look for trend movements, others may focus on reversion, price conditions, digits, specific contract types, or combinations of signals.

You do not need to memorise every technical detail before you begin.

You should, however, understand the core idea.

For example, Trend Rider is designed around trend-following behaviour rather than trying to predict the exact top or bottom of a move.

That context helps explain why a strategy may wait for a long time or behave in a particular way.

Second criterion: check which market or contract type it uses

Not every strategy trades in exactly the same way.

Before choosing, check:

• which markets are available;
• which contract type the strategy uses;
• whether that market is available for your account;
• whether you understand the environment at a basic level.

If you are still learning the ecosystem, it can also help to understand what Deriv is and how it works before comparing more advanced strategies.

Knowing the market does not eliminate risk, but it gives you context for how the strategy will be executed.

Third criterion: understand the parameters you can configure

Orby strategies are already built, but they provide configurable parameters.

Depending on the strategy, you may find settings related to:

• stake;
• stop loss;
• stop gain;
• market;
• logic-specific conditions;
• management parameters;
• other settings unique to the strategy.

Before changing a parameter, ask:

What does this change?

Changing many values randomly can make it difficult to understand why the strategy’s behaviour changed.

A more organised approach is to change a small number of variables at a time and observe.

Fourth criterion: consider trading frequency

A strategy that trades more frequently is not automatically better.

Likewise, a strategy that spends a lot of time waiting for a condition is not automatically worse.

Trade frequency depends on the logic and the conditions found.

This is especially important because Orby trades can be short, and several trades may occur within a few minutes.

Therefore:

trade count should not be confused with quality.

When choosing a strategy, consider whether you understand and are comfortable with its pace.

Fifth criterion: start with risk, not potential profit

Before asking:

How much could I make?

ask:

How much am I prepared to lose?

Choosing a strategy should go together with appropriate risk management.

Look at factors such as:

• stake;
• stop loss;
• session limits;
• financial exposure;
• expected behaviour during negative periods.

No strategy should be chosen simply because it recently produced positive results.

Trading involves risk, and you can lose some or all of the money used in Real trades.

Sixth criterion: consider starting in Demo

If you do not yet understand a strategy, Demo can provide a learning environment without real financial risk during those trades.

You can use Demo to:

• learn the logic;
• observe frequency;
• test configurations;
• understand parameters;
• become familiar with execution;
• observe your own reaction to the strategy’s behaviour.

This does not mean Demo is only for beginners.

Experienced users may also use it to explore a different strategy or configuration.

And using Demo does not require you to later move to Real.

Read more in our guide to Deriv Demo vs Real accounts.

Seventh criterion: choose something you can monitor

A strategy should not be a black box to you.

Even when execution is automated, try to understand at least:

• its core logic;
• when it looks for trades;
• which parameters you configured;
• which account environment you are using;
• which stake you selected;
• which limits you defined.

Automation executes rules.

It does not remove your responsibility for the configuration and risk you take.

Strategies available on Orby

Orby’s strategy catalogue may evolve over time.

Strategies presented by the platform include options such as:

• Technical Analysis;
• Higher / Lower;
• Higher/Lower Multi-Market;
• Touch / No Touch;
• Mean Reversion Pro;
• Mean Multi-Market;
• Multi-Market;
• Price Action;
• Machine Learning;
• Accumulator;
• Trend Rider (Multiplier);
• Only Ups / Only Downs;
• Even / Odd;
• Over / Under;
• Digit Recovery;
• Statistical Digits.

Each has a different purpose and logic.

Some of them already have dedicated guides on this blog: Technical Analysis, Higher/Lower, Accumulator, Mean Reversion, Multi-Market, and Trend Rider.

The goal of this list is not to rank them, but to show that there are different approaches to explore.

This list reflects the catalogue shown on the platform as of September 2026.

How to compare two strategies without focusing only on profit

Imagine you are choosing between two strategies.

Instead of comparing only:

Which one made more money?

build a small matrix.

This shifts the decision away from a promise of performance and toward factors you can actually evaluate.

Is a strategy with more trades better?

No.

More trades simply mean more trades.

One strategy may place many entries in a short period, while another waits for specific conditions.

Neither characteristic by itself tells you which one is “better.”

Focus on:

• logic;
• risk;
• behaviour;
• configuration;
• how you intend to use it.

Is a strategy with fewer trades safer?

Not necessarily.

Lower frequency does not automatically mean lower risk.

Risk depends on several factors, including:

• contract type;
• stake;
• configuration;
• market;
• strategy logic;
• limits.

Avoid turning a single characteristic into a conclusion about safety.

Can I try several strategies?

Yes, but organisation helps.

If you are learning the platform, trying many strategies at once can make it harder to learn.

One approach is:

1. choose one strategy;
2. understand its logic;
3. configure it;
4. observe its behaviour;
5. record what you learned;
6. then explore another.

This makes comparison more meaningful.

Should I use the same settings as another user?

Not necessarily.

A configuration shared by another user may be useful as a reference for learning, but it should not be treated as a universal recommendation.

Your situation may differ in:

• capital;
• risk tolerance;
• goal;
• experience;
• Demo or Real usage;
• how you monitor the strategy.

Community discussions can be useful for learning.

Copying a configuration without understanding it can lead to poor decisions.

What about backtesting?

Backtesting can be useful when available, but it does not exist for every Orby strategy.

At the moment, the feature is available only for specific strategies: Mean Reversion, Higher/Lower, and Touch/No Touch.

Do not use “has backtesting” as a universal criterion for choosing a strategy.

And even when backtesting is available:

historical results do not guarantee future performance.

Backtesting should be treated as one analysis tool, not proof of future profitability.

Does Demo or Real change which strategy I should choose?

It can change how you decide to explore the strategy, but there is no automatic rule.

Demo lets you learn with virtual funds.

Real carries actual financial risk.

A strategy you do not yet understand may therefore make more sense to explore in Demo first.

But every user does not need to follow exactly the same path.

Orby should allow people to use the environment that fits their current situation and decision.

What NOT to use as a strategy-selection criterion

Avoid choosing only because:

“It made the most money yesterday”

A short period does not represent the future.

“Someone in the group said it is the best”

Another person’s experience does not guarantee yours.

“It places lots of trades”

Frequency does not equal quality.

“It had several positive trades in a row”

Sequences change.

“The aggressive configuration could make more”

Higher exposure can also produce larger losses.

“It is the most complex strategy”

Complexity does not equal quality.

The strategy needs to make sense for how you intend to use it.

A simple process for choosing your first strategy

If you are starting out, use this process:

Step 1 — Read the strategy description

Understand the main idea.

Step 2 — Check the market and trade type

Do not use something you do not understand at a basic level.

Step 3 — Review the parameters

Learn what you can configure.

Step 4 — Define your risk management

Before starting.

Step 5 — Consider Demo

Especially if you are still learning the strategy.

Step 6 — Change only a few variables at a time

Avoid random configurations.

Step 7 — Observe over time

Do not draw conclusions from only a few trades.

Step 8 — Then compare other strategies

With more context, your comparison will be better.

Which Orby strategy is suitable for beginners?

There is no universal recommendation for every beginner.

A strategy that feels simple to one person may feel confusing to another.

To get started, prefer an option whose logic is clearly explained and whose parameters you can understand.

The goal of your first experience should be to learn how the platform and strategy work, not to maximise financial results.

Can I switch strategies later?

Yes.

Choosing a strategy is not a permanent decision.

You can explore different options and learn which types of logic make more sense for you.

What matters is avoiding constant switching only in response to a negative trade.

That can turn learning into impulsive behaviour.

How can the community help?

The Orby community can help users:

• share questions;
• understand how others interpret a strategy;
• discover educational content;
• discuss configurations;
• learn from different experiences.

However, the community should not be treated as a source of “guaranteed signals.”

Use discussions as learning material, not as a substitute for understanding what you are doing.

Frequently asked questions about Orby strategies

What is the best Orby strategy?

There is no single strategy that can responsibly be called best for everyone. Strategies use different logic, parameters, and behaviours.

Which strategy is the most profitable?

Results vary, and future profits cannot be guaranteed. Choosing based only on recent performance is risky.

Are Orby strategies ready-made?

Yes. Strategies already have defined logic. Users choose one and configure the available parameters.

Do I need to know how to code?

You do not need to program the strategy logic. You work with the strategies already available and their parameters.

Can I use strategies in Demo?

Yes, according to the options available in Orby and the connected Deriv account.

Do I need to move to Real after Demo?

No. Real is not a mandatory progression.

Does every strategy have backtesting?

No. Backtesting is available only for specific strategies.

Does a high number of trades mean a better strategy?

No. Trade volume alone is not an indicator of quality or suitability.

Can I copy another user’s configuration?

You can use shared configurations as learning references, but you should understand the parameters and risks before applying them.

Choose based on understanding, not promises

The most useful question is not:

Which strategy will make me the most money?

It is:

Which strategy can I understand, configure, and monitor consciously?

Learn the logic.

Understand the parameters.

Define your limits.

Explore Demo when appropriate.

Compare patiently.

And remember that no automation removes trading risk.

When you are ready, open Orby and explore the strategies available on the platform.