Stock Backtesting. The Tesla Stocks 5-Minute Chart Breakdown Strategy

The Importance of Stock Backtesting in Trading

In the world of trading, it is very important to be able to distinguish a working strategy from random luck. Therefore, stock backtesting — testing on historical data — becomes a fundamental tool for a trader. However, a backtest is impossible without a clear trading algorithm: before doing a stock backtesting, it is necessary to decide on a trading strategy and clearly formalize it.

Why is Stock Backtesting Important

Stock backtesting is the process of testing a trading strategy on historical stock data to see how it would have performed in the past. The goal is to evaluate its profitability, resilience to drawdowns, percentage of profitable trades, profit factor, and other metrics before applying it with real money.

Without stock backtesting, you risk launching a strategy based on intuition or untested ideas. But if a strategy passes a strict stock backtesting with adequate parameters — you get a foundation with which it is already worth working further, optimizing and testing for different markets.

But a backtest alone is not enough — it is important to test the strategy on out-of-sample data, in real time with a small capital — and constantly check how market conditions change.

What is TradingView and its Strategy Tester

TradingView is a popular platform for chart analysis, indicator building, stock backtesting and strategy automation, as well as general trading. One of its key features is the Strategy Tester. This is a built-in module that allows you to apply Pine strategy code to historical data and immediately see its results on a selected asset and timeframe for a certain period of time.

TradingView allows you to backtest any strategy created in the Pine Editor for free. The only limit is the length of the testing period. If you are interested in this topic, I have an article with a more detailed analysis How to Back Test Trading Strategy in TradingView for Free.

Advantages of using TradingView for stock backtesting:

• Ultimate customization of any trading strategy using Pine Script
• Visual analysis of trades directly on the chart
• Detailed statistics: profit, drawdowns, ratios
• Ability to quickly change parameters and see how the result changes
• Convenience for beginners and advanced users
• Ability to run algorithmic strategies in automatic mode

There are many different strategies on the stock market, and in the classical understanding, these are no longer trading strategies but investment strategies, based only on stock growth. But I propose to consider a trading strategy based on breaking the range at the opening of the US trading session on Tesla stocks, using the TradingView platform and any broker that provides instruments such as CFDs.

CFD (Contract for Difference) is an instrument that allows you to speculate on the price change of an asset without actually buying it. The ORB trading algorithm is one of the few short-term strategies that really work and have justified risk management. With this approach, you can earn not only on stock growth but also on their decline.

What is ORB and Why it works

What is ORB

ORB (Opening Range Breakout) is a trading concept where a range is formed at the beginning of a trading session (usually the first 5, 15, or 30 minutes), and a buy or sell signal is given when the price breaks up or down this range. An excellent strategy for intraday or Swing, especially on active stocks.

Advantages:

• Clear entry levels (top of range / bottom of range)
• Simple logic
• You can add filters to weed out false breakouts

Why ORB Works

High volatility is often observed at the start of the session — market participants are actively opening positions.
A range breakout can signal that the bears have defeated the bulls or vice versa, which means the trend may continue in perspective.

ORB Strategy with Filters Script_Algo

This strategy combines three powerful elements:

1. Range Breakout (opening range breakout) — standard ORB
2. SuperTrend indicator — to confirm the trend direction
3. Volume filter — requires that the volume on the breakout candle is above average

The peculiarity of this strategy is that the algorithm waits for confirmation of the candle body closing outside the range boundaries, which increases the chance that it is a real breakout and not just stop-loss hunting.

There is also the possibility to precisely configure how many candles are used to build the range, which allows adapting the strategy to specific assets and timeframes.

How it works (logic):

1. The range (high/low) for the first N candles after the session start is determined.
2. We wait for the price to close a candle above the range (for long) or below the range (for short).
3. We check if the direction coincides with SuperTrend (for example, if the trend is upward, then only longs).
4. We check the volume: the breakout candle must have a volume above a certain threshold.
5. When all conditions are met — entry into a position. A stop signal occurs if the candle body closes beyond the opposite range line, and we determine the take in the settings as a risk/reward ratio coefficient.

This scheme makes the strategy more predictable, understandable, and resistant to false breakouts.

How to Install the Strategy on a Chart in TradingView

Now let’s go step by step:

Open a Chart

Go to TradingView.
Select an asset — in our example, Tesla.
Select a 5-minute (5M) timeframe.

Add a Strategy

In the indicators / strategies menu, find Script_Algo – ORB Strategy with Filters.
Apply it to the chart. On the chart, if the default settings are correct, you should see:

• ORB range lines
• SuperTrend lines
• Marked entries and exits
• Visual markers for when stop-loss and take-profit conditions triggered

Go to the Strategy Tester tab — a subsection “Overview”, “Performance Summary”, “List of Trades”, etc. will appear there.

Strategy Configuration

Go to the Strategy Tester tab at the bottom left — a subsection “Overview”, “Performance Summary”, “List of Trades”, etc. will appear there. Parameters and capital.

Capital and Risk Management Settings

• Initial Capital — starting capital (example: $100,000)
• Order size — how much in dollars, contracts, or share of capital to use per trade. In the case of the stock market, it is recommended to choose the number of contracts. In this case, I chose 10 contracts, which at a Tesla share price of approximately $400 would be $4,000. This is equivalent to 4% of capital.
• Commission and Slippage — exchange commissions and slippage to make the results realistic. Usually, brokers earn on the spread, but I don’t know how to set the spread on TradingView, so leave the commission at 0.1% and slippage at 1 tick.

Main Strategy Parameters

Go to the inputs tab. First of all, we configure the trend parameters. This is a regular SuperTrend, if you are familiar with trading, you must have heard of it. We set the ATR parameters and the factor. In this case, ATR = 11, and the factor = 2.
The next three parameters are the session opening time settings. Set 9:30 AM GMT New York – the opening time of the US trading session. To make sure the time is set correctly, on the price chart the beginning of the ORB range should coincide with the high low of the selected number of candles.

Next, select the number of candles for the range — in our case, it is 5 candles (selected empirically).
Next, activate the volume filter, set the length to 50. This means the script will only open trades if the volume of the breakout candle is above the average volume of the last 50 candles. This will reduce the risk of weak signals characteristic of a flat market.

Finally, set the risk/reward ratio. The best results are shown by 3. This means that with a stop of 4% of capital, the profit will be 12%. If you are a beginner, I do not recommend risking more than 1% of capital. But note that the algorithm of this strategy is built so that a trade can close before reaching the take profit if the candle closes beyond the opposite range line. This can happen the next day or later. In this case, the take profit will be less than defined in the settings!!!

Now let’s look at the stock backtesting results. Close the settings tab. We see a constantly rising green line of cumulative P&L. This is a positive signal, indicating that the strategy was profitable over this period. Play with the parameters and see how the results change – this is stock backtesting in action. Achieve settings that yield the best performance in terms of profit, drawdown, and profit factor.

Analyzing Stock Backtesting Results

Key Metrics

• Total P&L — net profit. Everything is clear here. Over the given period, the strategy brought a profit of $4,600 or 4.6%. The period is indicated in the upper right corner. In this case, the period was about a year.
• Max Drawdown — the maximum amount by which the strategy was in loss. We see that it is less than one thousand dollars or 1%. I.e., in this case, a risk of 4% of capital is not so critical. But remember, backtest results may not necessarily repeat in the future!!
• Total trades and profitable trades. Everything should be clear here. 177 trades were made and 41% of them were profitable. Make sure the number of trades is sufficiently large for the given period and market conditions. Over 365 days, 177 trades is quite adequate – on average, about 1 trade every two days, considering the stock market is closed on weekends.
• Profit Factor — the ratio of total profit to total loss. The most informative and important indicator. You can have a win rate of 80-90%, but if the profit factor is less than 1, the strategy will be losing. The profit factor was 1.6, which means we could potentially earn 1.6 times more than we lost.

Visual Analysis

Look at how the range breakouts occurred, where there were false breakouts, where stops were triggered, where take profits were, where trades closed before the take profit when the ORB was broken in subsequent days.
How the price reacts to trend and volume filters.
Where a trade lasted several days, where there were several losing trades in a day in a flat manipulative market.

Evaluating the Trading Strategy

Evaluating Stock Backtesting Results

Thus, as a result of analyzing the stock stock backtesting data, we found out that over the year it was potentially possible to earn 4.6% profit on Tesla stocks, the maximum drawdown was less than 1%, 177 trades were made, more than 40% of which were profitable, the profit factor was 1.6. This means that we could potentially earn 1.6 times more than we lost. It is important to evaluate not only the final profit but also stability, drawdowns, and resilience.

What to Pay Special Attention To

Like all short-term strategies in the stock market, this algorithm has a significant drawback related to gaps that occur at the opening of the trading session. Sometimes, on news, the market can open with a large gap, the size of which significantly exceeds the stop-loss size. In such a case, the signal comes when you can no longer close the position in accordance with the specified risk management conditions. Therefore, you should not risk a large percentage of capital.

If you go to the trades analysis tab, you can see the most losing and the most profitable trade for the stock backtesting period. In our case, the most losing trade was $288, which critically exceeds the stop-loss size.

If you go to the list of trades tab, you can see that on February 3, 2025, a short position closed with a large loss. Click on the sight icon of this trade (show on chart) and open the chart.

As you can see on this day, the main trading session opened with a large gap, which led to a loss significantly exceeding the stop loss. Unfortunately, unpredictable situations sometimes happen in the market. Therefore, it is important to observe risk and money management and be prepared for such situations.

However, opening with a gap can play into your hands and the trade can close, on the contrary, with a profit significantly exceeding the set take profit level. As in the case of a short trade that closed with a 13% profit – $578 on December 30, 2024.

Assessing Risks and Trading Opportunities

Some may think that 4.6% is too little for a year’s profit. I don’t know if American banks will offer such a deposit yield. Moreover, brokers offer instruments such as CFDs where you can trade on the rise and fall of stocks with leverage. Yes, the risk increases, but so does the profitability. And analysis of stock backtesting results can help assess these risks. For example, if you trade CFDs with 20x leverage, then the capital you use in trading is not $100 thousand, but only $5 thousand. The stock backtesting results show that the maximum drawdown for the year was about $1,000. I.e., a capital of $5,000 would be enough to withstand such a drawdown. In this case, an income of $4.6 thousand with an attracted capital of $5 thousand does not seem so small. But remember, backtest results may not necessarily repeat in the future!! The market is changeable, and no stock backtesting will give you a profit guarantee. It is important to evaluate not only the final profit but also stability, drawdowns, and resilience.

Possibility of Connecting a Broker to TradingView

TradingView supports direct connection to some partner brokers, which, apparently, the platform considers reliable. Such integration allows opening trades directly from the chart. One such broker is Capital.com, which allows trading stocks and indices via CFDs. It is integrated with TradingView, allowing you to open and close trades directly from the TradingView interface, as well as set stop-losses and take-profits without external API.

Connection Process:

1. Register or log in to Capital.com
2. In TradingView, go to “Trading Panel” → select Capital.com
3. Authorize and link the account

Now, when you have a trading strategy that you have checked with stock backtesting on TSLA, seeing the signal of your strategy, you can open a position and set SL and TP with one click. We can say that in this case the strategy becomes semi-automatic: when the strategy gives a signal, you open a trade manually and set the stop and take, all on one TradingView platform. This approach is especially convenient for intraday or swing strategies. As a rule, the signal appears within the first hour of the opening of the US trading session. You can open a position, set a stop and take. Close the position when a signal to exit the trade appears. On TradingView, you can easily set it up so that the signal comes to your app.

For more sophisticated traders ready for the full automation of CFD trading, there is a service called Tradeadapter. You can configure it to transmit entry and exit signals from TradingView to the Capital.com platform in a fully automated mode. If you’re interested, read about this service in our article: Unleashing Algorithmic Power: The Ultimate Tradeadapter Review for Seamless TradingView to MT5 Integration
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Tips for Beginners Trading CFDs on the Stock Market

• Start with small volumes — do not risk large amounts at the initial stages
• Test the strategy in paper trading or on a demo account
• Use only highly liquid stocks where the spread and slippage are lower
• Do not try to “catch up” losses — give the strategy a chance to prove itself
• Regularly review parameters and adapt to new market conditions
• Read the logic of each signal — do not just blindly run the algorithm
• Do not forget about the spread and slippage — they can eat up a significant part of the profit

Alternative fully automated decisions

Given the theme of our site, if you are looking for a reliable, fully automated solution for stock market trading, allow me to recommend the Investfly platform.

Investfly is a cloud-based platform for algorithmic trading, primarily focused on stock and ETF markets. Unlike many crypto-oriented services, it provides legal access to trading through licensed US brokers (such as Interactive Brokers).

Key features:

• Visual strategy builder with no programming required
• Full support for trading stocks, ETFs, and options
• Backtesting with historical data
• Direct integration with brokerage accounts
• Automatic strategy execution

Important note:
The platform requires verification and is mainly suitable for traders who have access to US brokerage accounts. For cryptocurrency trading or use without verification, alternative solutions exist.

This is a professional tool for serious algorithmic trading on traditional financial markets, not just a signal-copying service.

If your goal is to instantly deploy a pre-configured grid, DCA, or signal bot, or to mirror the trades of established professionals, we have the perfect resource for you. Our team has done the heavy lifting, meticulously analyzing the market to bring you a curated list of 10 proven and effective trading bots. We’ve sifted through the clutter and eliminated the subpar options so you don’t have to.

This all-in-one review provides a side-by-side comparison of every critical feature. Think of it as your personal “botopedia”—a trusted reference you can consult anytime to assess different tools and select the ideal bot that aligns with your specific trading goals and preferences.

While TradingView is popular, it’s far from the only option for backtesting. Discover 10 other remarkable platforms we’ve covered in our article Best Strategy Tester for Algo Trading. Irrefutable Justification..

Conclusion

Stock backtesting is the main tool that allows you to make sure whether a strategy works on stocks before launching it with real money. The TradingView platform is one of the most convenient and functional for this: you can build almost any strategy on Pine Script, quickly test it on historical data, visually analyze trades, and adjust parameters. Test on live, but small volumes, and gradually scale up. But always remember that trading and any investments are a risk, and stock backtesting results do not give you a profit guarantee. It is just a tool for assessing your risks and trading hypotheses.

FAQ — Frequently Asked Questions