Before you even look at historical charts, you need a clearly defined strategy. I made the rookie mistake of backtesting a vague “trend-following” idea without rules. The results were inconsistent and confusing.
The reader outcome is behavioural: turn this guidance into a repeatable decision without relying on urgency, hindsight or one-off results.
The Behaviour to Practise
Convert the idea in this guide into a written pre-trade rule and follow it for one complete session.
Why This Behaviour Matters
Knowledge does not improve execution until it changes a repeatable decision. A written rule makes the behaviour observable, reviewable and easier to practise consistently.
Ask yourself:
What are your entry conditions? (e.g., breakout above a moving average, RSI below 30)
What are your exit conditions? (e.g., take profit at 2R, stop loss at 1R)
What is your position sizing method?
What timeframe are you trading?
Write these rules down clearly. Treat your strategy like a recipe—you want to be able to follow it exactly during backtesting.
H2: Step 2 – Choose Your Backtesting Method
There are two main ways to backtest:
H3: Manual Backtesting
Manual backtesting involves reviewing historical charts and marking hypothetical trades. It’s slower but invaluable for beginners because it forces you to understand market behavior.
I spent nights manually backtesting my first momentum strategy. It was tedious, but by the end, I could spot patterns and entry setups that I would have missed in live trading.
H3: Automated Backtesting
Automated backtesting uses software or scripts to simulate trades over years of data. It’s faster and allows testing large datasets but requires clear, well-defined rules.
I started with manual testing to understand the market and transitioned to automated methods once I was confident in my system. Both approaches have their place.
H2: Step 3 – Gather Quality Historical Data
Accurate historical data is the backbone of backtesting. Poor or incomplete data can give misleading results.
Sources: Trading platforms like TradingView, MetaTrader, or brokers often provide historical data.
Duration: Test at least one full market cycle. I usually start with one year for intraday strategies and 3–5 years for swing strategies.
Include Costs: Factor in spreads, commissions, and slippage to get realistic results.
I once backtested a scalping strategy without including spreads. On paper, it looked profitable—but in live trading, the spreads destroyed my gains. Lesson learned: always include costs.
H2: Step 4 – Execute the Backtest
Here’s where you put your rules to the test.
H3: Manual Backtesting Process
Open historical charts.
Identify points where your entry criteria are met.
Mark the trade, noting entry, stop loss, and take profit.
Record the outcome in a spreadsheet or journal.
The key here is discipline: treat every trade exactly as if it were real. No cherry-picking or “almost trades.”
H3: Automated Backtesting Process
Input your strategy rules into the platform or script.
Run the simulation over your historical dataset.
Review trade outcomes and performance metrics.
Automation speeds up testing, but remember: garbage in, garbage out. Your rules must be precise.
H2: Step 5 – Analyze Backtesting Results
After running the backtest, it’s time to dig into the numbers. Don’t just look at profit—look at key metrics:
Win rate: How often trades were profitable
Risk-to-reward ratio: Average profit vs. average loss
Maximum drawdown: Largest losing streak
Consistency: How evenly profits and losses occurred
I remember backtesting a breakout strategy that had a 75% win rate but small profits per trade. When I considered drawdown, I realized it wasn’t suitable for live trading with prop firm rules. This step prevented me from risking a funded account with a poor strategy.
H2: Step 6 – Refine Your Strategy
Backtesting isn’t just about testing—it’s about improving. Look at trades that failed and ask why.
Could your entry timing be better?
Are your stop losses too tight or too wide?
Does the strategy underperform in certain market conditions?
I iteratively refined my strategies by tweaking risk parameters and exit rules. Over several backtesting rounds, I improved consistency and reduced drawdowns without overfitting.
Tip: Avoid curve fitting—don’t tweak rules to match historical results perfectly. The goal is a strategy that works generally, not just on past data.
H2: Step 7 – Transition to Live Trading
Once your backtest shows consistent results, start small in your live prop firm account. I learned this the hard way—my first funded trade was too large because I trusted backtest numbers blindly. Starting small helps you adjust for real-world factors like emotions, slippage, and latency.
Start with smaller positions than your backtest suggests.
Stick strictly to your strategy rules.
Track results and compare them to backtested performance.
H2: Common Mistakes Beginners Make in Backtesting
Even after following these steps, beginners often stumble on:
Ignoring transaction costs – spreads, commissions, and slippage can turn profits into losses.
Testing too little data – short periods give misleading results.
Emotional bias – cherry-picking trades or adjusting rules mid-test.
Curve fitting – over-optimizing for past performance.
Avoiding these mistakes can save both your funded account and a lot of frustration.
H2: Final Thoughts
Backtesting is one of the most powerful tools for prop traders, especially for beginners. Mastering backtesting for prop trading for beginners allows you to validate strategies, understand risks, and enter live trading with confidence.
From my first month at a prop firm, I learned that backtesting isn’t just a technical exercise—it’s a mindset. Treat it seriously, stick to the rules, analyze results critically, and refine your strategies iteratively. The discipline and insights gained from backtesting are what separate successful prop traders from those who trade by guesswork.
Remember, backtesting is not a magic formula, but a practice that builds consistency, confidence, and discipline. Nail this skill, and you’ll set yourself up for long-term success in prop trading.
Word count: ~1,150
If you want, I can also create a visual step-by-step backtesting checklist specifically for beginners so they can quickly implement the process without getting overwhelmed. This makes the guide much more actionable.
Do you want me to create that checklist?
You said: Write an article titled “The Beginner’s Guide to Holding Trades Overnight in Proprietary Trading” in a casual, helpful tone. Target the keyword: “holding trades overnight for beginners”. Now write the article in a casual, helpful tone, and insert personal anecdotes if they help illustrate a point. Include H2s and H3s as needed, and expand on key points or add more if needed to hit at least 1000 words. ChatGPT said:
Here’s a full draft of your requested article:
The Beginner’s Guide to Holding Trades Overnight in Proprietary Trading
If you’re new to proprietary trading, you might wonder whether holding trades overnight is something you should consider. Many beginners instinctively close positions at the end of the day to avoid risks—but there are times when holding trades overnight can be a smart, strategic decision. In this article, we’ll cover holding trades overnight for beginners, share personal experiences, and provide actionable tips to make overnight trading safer and more effective.
H2: Why Traders Hesitate to Hold Trades Overnight
When I first started trading with a prop firm, I avoided holding any positions past the market close. I thought, “Why risk it? I’ll just trade the next day.”
This is a common concern among beginners because holding trades overnight introduces new risks:
Market gaps: Prices can jump at open due to news or events outside trading hours.
Increased volatility: Overnight developments can create sudden moves that stop losses may not protect against.
Financing costs: Some brokers or prop firms charge fees for holding leveraged positions overnight.
Despite these risks, there are also potential benefits to holding trades overnight, especially if your strategy is prepared for it.
H2: Benefits of Holding Trades Overnight
Holding trades overnight isn’t inherently dangerous—it’s just a different approach. Here are some advantages I learned after testing overnight strategies in my first month of prop trading:
H3: Capturing Big Moves
Recognise the Trigger
- Trigger: A market opportunity appears and you are tempted to rely on memory or intuition.
- Automatic response: Act first and explain the decision afterwards.
- Coached response: Pause, apply the written rule, record the decision and review whether the behaviour—not the outcome—matched the plan.
- Stop condition: Skip or stop when the rule cannot be stated clearly or its required conditions are absent.
How to Practise the Behaviour
- Write the behaviour as an if–then rule.
- Define the evidence required before action.
- Define risk, invalidation and the condition for no trade.
- Apply the rule to one decision and record the result.
- Review the process after the session and change only one variable at a time.
Worked Example
A trader reviewing the beginner’s guide to holding trades overnight in proprietary trading notices the trigger before acting. Instead of making an immediate decision, the trader follows the written steps, records the evidence and accepts a no-trade or no-purchase outcome when a required condition is missing. The coaching win is following the process; one profitable or unprofitable result does not prove the rule works.
Common Mistakes and Reset
- Changing the rule after seeing the outcome. Reset by returning to the version written before the decision.
- Treating confidence as evidence. Reset by naming the observable condition that is present or absent.
- Increasing risk to recover time or money. Reset by applying the pre-agreed limit or ending the session.
After a mistake, do not try to repair the outcome with another impulsive action. Record the trigger, step away, and resume only when the checklist and risk conditions are valid again.
Self-Coaching Questions
- What exactly triggered the decision?
- Which observable evidence supported the action?
- Did I respect the risk limit and stop condition?
- What is the one behaviour I will repeat or reset next time?
Sources & Further Reading
- CFTC’s checks before trading leveraged forex — Provides independent guidance on leverage, counterparties, withdrawals, registration and fraud risk.
- NFA BASIC registration and disciplinary checks — Shows how to verify US derivatives firms and review regulatory or disciplinary history.
- FCA guidance on contracts for difference providers — Explains risk warnings and retail protections relevant to leveraged trading offers.
- FTMO’s official Trading Objectives — Illustrates why traders must verify current loss limits, objectives and account conditions directly with a firm.
- Topstep’s official Trading Combine parameters — Provides a current official example of evaluation objectives, loss limits and account parameters.
Now Practise This Behaviour
Immediate exercise: use the next 10 minutes to complete this practice loop.
- Write the trigger for this behaviour in one sentence.
- Write the coached response and the condition that means stop.
- Apply the rule to one recent chart, decision or firm comparison.
- Record whether you followed the process, without scoring the financial outcome.
Open the 21-Day Discipline Builder
Now practise this behaviour.
