How to Develop Your Own Trading System

Person with a pen and folders at a desk while learning how to develop your own trading system

If you want to know how to develop your own trading system, start small: pick one market and timeframe, write entry, exit and risk rules you can check yes or no, then test them on past charts before risking money. A system is only finished when its rules are fixed and its results have been measured, not when it feels right.

Quick answer: how do you develop your own trading system?

1) Choose one market, timeframe and style. 2) State the idea you are testing. 3) Write filters, a trigger, a stop and a target as yes/no rules. 4) Fix risk per trade. 5) Backtest at least 50 to 100 trades by hand. 6) Forward test on demo or tiny size. 7) Review by expectancy, then go live.

What a trading system is (and how it differs from a plan)

A trading system is a set of rules that decides when you enter, where your stop goes, when you exit and how big the position is. Our older post on removing the human factor with systems trading explains why we trade this way: fixed rules take gut feeling out of the decision.

A system is not the same as a trading plan. The system is the rules engine; the plan, covered in our guide on how to create a trading plan with a fill-in template, wraps around it with hours, loss limits and review.

Strategy vs system vs plan: what each one covers
TermWhat it coversExample
StrategyThe trading ideaBuy pullbacks in an uptrend
SystemExact, testable rules for that ideaEntry, stop, target and size rules
PlanThe system plus routine and limitsHours, loss limits, review day
Open spiral notebook and crayons on a desk, ready for separating a trading strategy, system and plan

How to develop your own trading system in seven steps

We build systems in this order, because each step narrows the next.

  1. Choose your market, timeframe and style. One market and one entry timeframe that fit the hours you actually have.
  2. State the idea. One sentence you can test, such as “pullbacks to demand in an uptrend tend to continue”.
  3. Write the entry rules. Filters that must all be true, then one trigger that starts the trade.
  4. Write the exit rules. Where the stop goes, where profit is taken and what happens if price stalls.
  5. Fix the risk. A set percentage of the account per trade, turned into a position size every time.
  6. Backtest by hand. Apply the rules to past charts and log every result.
  7. Forward test, then review. Run the rules live on demo or very small size before trading normally.

Step 1: fit the system to your life

A system that needs you watching five-minute charts at 2pm is useless if you work nine to five. Our guide to scalping, day, swing and position trading styles helps you choose a timeframe you can stick to.

Turning a price action idea into testable rules

Price action traders can build a system too, as long as every rule can be ticked yes or no by someone else looking at the same chart.

Hand ticking boxes on a paper checklist, writing trading system rules as yes or no checks

Filters and a trigger

We split every entry into filters and a trigger. Filters are the context, such as trend direction and location at a zone; the trigger is the one price event that gets you in. Our filters and triggers trade entry checklist sets out the full process.

For the trend filter, define it precisely: for example, the last two swing highs and lows on the daily chart are both higher. Our guide to identifying market structure from highs and lows shows how to mark those swings consistently.

Vague rules versus testable rules

  • Vague: “Buy when price looks strong at support.” Testable: “Buy when a candle closes back above the top of a marked demand zone.”
  • Vague: “Use a sensible stop.” Testable: “Stop goes beyond the zone and the last swing low.”

Fixing risk and position size

The risk rule is the part of a system you should never leave to judgement. We use a fixed percentage of the account per trade, explained in how much to risk per trade.

The stop distance then decides the size. Our guide to calculating position size for forex, CFDs and spread bets gives the formula. If your system uses leveraged products such as CFDs or spread bets, remember that losses can exceed what you expected when markets gap through a stop.

Calculator resting on a notepad while working out the position sizing rules of a trading system

Testing your system without fooling yourself

A backtest applies your rules to past charts. You do not need code: scroll a chart back, move forward one candle at a time, and log every trade the rules give you, including the ones you would rather skip.

Record the date, direction, entry, stop, target and result in R, where 1R is the amount risked. We aim for at least 50 to 100 trades across different market conditions before drawing any conclusion.

Why fewer rules usually test better

The danger is overfitting: adjusting rules until the past looks perfect. Research by Sullivan, Timmermann and White on data snooping in technical trading rules shows why this matters, because when many rule variants are tried, the best one can look good partly by chance.

Our defences are simple. Write the rules before you test, keep them to a handful, and hold back a recent stretch of charts you never look at until the main test is done.

Forward testing

Next, run the rules in real time on demo or very small size for a few weeks. This catches spreads, slippage, missed entries and hesitation. Our guide on when to move from demo to live trading covers the next step.

Tablet and keyboard on a wooden table, ready for logging backtest results for a new trading system

A worked example: judging a system by expectancy

Example: a hypothetical backtest of 80 trades gives 32 winners averaging +2R and 48 losers averaging −1R. That is a 40% win rate, which many beginners would call a failure.

Expectancy is (0.40 × 2R) − (0.60 × 1R) = +0.2R per trade, before costs. On a £5,000 account risking 1%, 1R is £50, so the test suggests about £10 per trade on average, before spreads and slippage.

Win rate alone tells you very little, as we explain in win rate vs risk:reward. If expectancy is close to zero after realistic costs, the system is not ready, however good its best trades looked.

Common mistakes when building a trading system

  • Too many rules. Each extra condition makes the backtest look tidier and the future less certain.
  • Changing rules mid-test. Any change means the test starts again.
  • Tiny samples. Ten trades prove nothing either way.
  • System hopping. Abandoning the rules after a normal losing run, then starting from scratch.
Printed results sheet beside a coffee cup, checked for common mistakes in a trading system

Decide in advance what would make you stop trading a system, such as a drawdown twice as deep as the worst one in testing. Then review it on a schedule, using a routine like our weekly trading review process.

Frequently asked questions

What are the main components of a trading system?

A market and timeframe, entry rules (filters and a trigger), exit rules for the stop and target, and a risk rule that sets position size. Everything else, such as hours and loss limits, belongs in the wider trading plan.

Do I need to know how to code to build a trading system?

No. A price action system can be tested by hand on past charts, as long as every rule is a clear yes or no.

How many trades do I need to test a system?

We look for at least 50 to 100 trades in the backtest, covering trending and ranging periods. Fewer than that and a lucky or unlucky streak can dominate the result.

Next steps

Now that you know how to develop your own trading system, write your seven steps on one page and start the backtest this week. Then place the system inside our trading plan pillar and template, and sharpen the entry with the price action filters and triggers guide.

A filters and trigger process and a rules-based risk model are both part of our price action trading course, and the basics section is free to start.

This article is for education only and is not financial advice. Trading leveraged products such as CFDs and spread bets carries a high risk of losing money.