There are many trading strategies, but comparing only which one had the best recent result is a weak way to make a decision.
A strategy is a set of rules or criteria used to interpret a situation and determine when to trade, how to trade, and when to stop. To evaluate one properly, you need to look beyond a short positive sequence.
This guide explains the main factors to review before using any strategy, manual or automated.
1. Start with the logic
Ask:
What needs to happen before this strategy considers an entry?
Strategies may be based on:
- trends;
- mean reversion;
- technical indicators;
- price action;
- barriers;
- digit statistics;
- multi-market behaviour;
- other quantitative models.
If you cannot explain the basic idea in simple terms, you probably do not understand it well enough yet.
2. Understand the market
The same logic can behave differently across markets.
Review:
- asset or index;
- volatility level;
- availability;
- contract type;
- data frequency.
Deriv, for example, includes both conventional markets and Synthetic/Derived Indices with distinctive characteristics.
3. Understand the contract type
A Higher/Lower approach is different from Accumulators, Multipliers, Touch/No Touch, and other contracts.
Outcomes can depend on different elements such as:
- final price;
- barrier;
- duration;
- staying inside a range;
- price direction;
- last digit.
The contract is part of the strategy.
4. Learn which parameters change behaviour
Ask:
- which settings exist?
- which affect entries?
- which affect risk?
- which affect frequency?
- which have caps?
Changing many variables at once makes learning harder.
5. Analyse risk before return
Before asking how much a strategy can make, ask how much it can lose.
Review:
- stake;
- loss per trade;
- stop loss;
- accumulated exposure;
- stake progression;
- possible trade frequency;
- negative sequences.
Read stake, stop loss, and stop gain on Orby.
6. Do not confuse frequency with quality
A strategy that trades 30 times quickly is not automatically better than one that trades twice.
Frequency is only frequency.
7. Understand the time horizon
Some strategies use very short conditions; others depend on longer movements.
Evaluate them over an observation window appropriate to their logic.
8. Expect negative periods
Losses should not be treated as an impossible error.
Understand:
- how negative sequences affect capital;
- whether limits exist;
- whether exposure grows after losses;
- whether you can tolerate the chosen configuration.
9. Be careful with past performance
Historical performance can help study behaviour but cannot guarantee the future.
This applies to backtests, Demo results, screenshots, and third-party stories.
10. Demo is a laboratory, not proof
Use Demo to learn, not to “prove” future profitability.
Ask whether you understand entries, settings, pace, and risk limits.
Read Deriv Demo vs Real.
11. Understand indicators
If a strategy uses RSI, MACD, moving averages, or Bollinger Bands, learn their basic function.
Indicators transform data into measures or signals; they do not know the future.
Read RSI, MACD, moving averages and Bollinger Bands.
12. Choose something understandable
Complexity is not quality.
A sophisticated strategy you cannot follow may be less useful for learning than a transparent one.
Understand at least entry, exit, risk, parameters, and expected behaviour.
13. Define evaluation criteria before looking at results
Decide what you want to observe before you begin.
For example:
- parameter behaviour;
- frequency;
- response to conditions;
- respect for limits;
- clarity of logic.
This reduces the temptation to judge everything by the last trade.
14. Compare with a matrix
| Criterion | Strategy A | Strategy B |
|---|---|---|
| I understand the logic | Yes/No | Yes/No |
| I understand the contract | Yes/No | Yes/No |
| I understand the settings | Yes/No | Yes/No |
| Risk is clear | Yes/No | Yes/No |
| Demo is available | Yes/No | Yes/No |
| Pace fits my process | Yes/No | Yes/No |
For Orby specifically, read how to choose an Orby strategy.
15. Automation does not remove responsibility
Software can execute rules automatically, but someone still chooses the strategy, settings, risk, start, and stop decisions.
Read automated trading on Deriv.
Warning signs
Be cautious of claims such as:
- guaranteed returns;
- 100% win rate;
- guaranteed recovery;
- “never loses”;
- guaranteed income;
- “just turn the bot on.”
Trading involves risk.
Frequently asked questions
What is a trading strategy?
A set of rules or criteria used to guide entries, exits, and risk management.
What is the best strategy?
There is no single strategy that is universally best for every user and market condition.
Does backtesting prove a strategy works?
No. It studies historical data and does not guarantee future performance.
Do more trades mean a better strategy?
No.
Does automation remove emotion?
It can reduce discretion during execution, but users can still make emotional decisions about settings and risk.
Understanding comes before trading
A strong strategy review starts before the outcome.
Understand the logic, market, contract, parameters, and risk. Then observe behaviour systematically.
To avoid frequent pitfalls, read 7 common mistakes beginners make with automated trading.
The better question is not “which one will make more?” but “do I understand what this strategy does and the risk I am taking?”