Trend following
Trade in the direction of sustained structure, accepting small failed entries while seeking larger directional moves.
Learn / Trading Strategies
Turn an idea into repeatable rules.
A strategy defines the conditions for entering, managing, and exiting a trade. It is not a promise of profit. Its value comes from clear logic, controlled risk, and consistent application across enough observations.
Educational information only—not investment advice, a signal, or a promise of results.
Core concepts
The foundations of trading strategies.
Breakout
Enter when price leaves a defined range. Confirmation and liquidity matter because false breaks are common.
Range trading
Trade between established boundaries while the market lacks direction. A genuine breakout invalidates the premise.
Mean reversion
Expect an unusually extended price to move toward a reference value. Strong trends can remain extended longer than expected.
Momentum
Focus on acceleration and persistence. Entry timing must balance confirmation against chasing an exhausted move.
Event-driven
Prepare scenarios around scheduled catalysts. Outcomes, expectations, liquidity, and slippage all affect the result.
Practical framework
Turn knowledge into a repeatable process.
Work through the sequence in order. Skipping a stage usually transfers uncertainty into the trade.
01
Define the market condition
State whether the method requires a trend, range, volatility expansion, or specific event.
02
Write objective rules
Specify entry, invalidation, stop, target, size, time exit, and conditions that prohibit trading.
03
Test the logic
Review many historical examples without selecting only favorable periods. Include costs and realistic fills.
04
Execute and record
Follow the same rules in demo or controlled size, recording context, decisions, and deviations.
05
Review in samples
Judge a strategy over a meaningful set of trades, not after one win or loss. Change one variable at a time.
Common mistakes
Recognize the failure pattern early.
Strategy hopping
Changing methods after a normal losing sequence prevents meaningful evaluation.
Overfitting
Adding rules until past data looks perfect often produces fragile future performance.
Ignoring costs
Spread, commission, financing, and slippage can remove a small theoretical edge.
Undefined regime
A trend method used in a range—or the reverse—may repeatedly produce poor entries.
Knowledge check
Use the checklist before acting.
If an answer is unclear, pause and improve the plan before adding risk.
- 01
Can every entry and exit rule be stated without interpretation?
- 02
Does the setup match the current market regime?
- 03
Are costs, slippage, and overnight exposure included?
- 04
Is position size derived from planned loss?
- 05
Is there enough evidence to evaluate results as a sample?
Key vocabulary
Understand the terms before using them.
- Edge
- A repeatable statistical advantage; never a guaranteed result.
- Expectancy
- Average outcome per trade across wins and losses.
- Win rate
- Percentage of trades that finish profitable.
- Risk–reward
- Planned potential loss relative to potential gain.
- Drawdown
- Decline from a strategy equity peak.
- Backtest
- Applying rules to historical data to study behavior.
Trading Strategies FAQ
Common questions, direct answers.
Which strategy is best?+
No strategy is best in every market condition. The appropriate method depends on its logic, evidence, costs, risk, and the trader’s ability to execute it consistently.
How many trades prove a strategy works?+
There is no universal number. More observations across different conditions generally provide stronger evidence, but historical success never guarantees future results.
Should rules ever change?+
Yes, but changes should follow documented evidence and controlled testing—not emotion after a recent loss.
Can two strategies conflict?+
Yes. Define which method has priority and avoid combining signals without testing the combined rules.
Important risk warning
CFDs are complex instruments and come with a high risk of losing money rapidly due to leverage. [XX]% of retail investor accounts lose money when trading CFDs with this provider. You should consider whether you understand how CFDs work and whether you can afford to take the high risk of losing your money.
Practice the process before risking capital.
Use a demo environment to understand platform mechanics. Demo results do not predict live performance.