Fibonacci Retracement Trading Strategy In Python (2024)

Mathematics and Econometrics This Blog

Mathematics and Econometrics

5 min read

ByIshan Shah

Fibonacci trading tools are used for determining support/resistance levels or to identify price targets. It is the presence of Fibonacci series in nature which attracted technical analysts’ attention to use Fibonacci for trading. Fibonacci numbers work like magic in finding key levels in any widely traded security. In this article, I will explain one of the famous Fibonacci trading strategy: retracement to identify support level.

Fibonacci sequence

Fibonacci sequence is a series of numbers, starting with zero and one, in which each number is the sum of the previous two numbers.

Fibonacci Retracement Trading Strategy In Python (1)

The Fibonacci sequence is 0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, 144, 233, 377, 610……It extends to infinity and can be summarized using below formula:

Xn = Xn-1 + Xn-2

What are some interesting facts about the Fibonacci sequence?

There are some interesting properties of the Fibonacci sequence. Divide any number in the sequence by the previous number; the ratio is always approximately 1.618.

Xn/Xn-1 = 1.61855/34 = 1.61889/55 = 1.618144/89 = 1.618

1.618 is known as the golden ratio. I would suggest searching for the golden ratio examples on the Google images and you will be pleasantly astonished by the relevance of the ratio in nature.

Similarly, divide any number in the sequence by the next number; the ratio is always approximately 0.618.

Xn/Xn+1 = 0.61834/55 = 0.61855/89 = 0.61889/144 = 0.618

0.618 expressed in percentage is 61.8%.The square root of 0.618 is 0.786 (78.6%).

Similar consistency is found when any number in the sequence is divided by a number two places right to it.

Xn/Xn+2 = 0.38213/34 = 0.38221/55 = 0.38234/89 = 0.382

0.382 expressed in percentage is 38.2%

Also, there is consistency when any number in the sequence is divided by a number three places right to it.

Xn/Xn+3 = 0.23621/89 = 0.23634/144 = 0.23655/233 = 0.236

0.236 expressed in percentage terms is 23.6%.

The ratios 23.6%, 38.2%, 61.8%, and 78.6% are known as the Fibonacci ratios.

Fibonacci retracement trading strategy

The Fibonacci ratios, 23.6%, 38.2%, and 61.8%, can be applied for time series analysis to find support level. Whenever the price moves substantially upwards or downwards, it usually tends to retrace back before it continues to move in the original direction. For example, if the stock price has moved from $200 to $250, then it is likely to retrace back to $230 before it continues to move upward. The retracement level of $230 is forecasted using the Fibonacci ratios.

Fibonacci Retracement Trading Strategy In Python (2)

We can arrive at $230 by using a simple mathTotal up move = $250 - $200 = $5038.2% of up move = 38.2% * 50 = $19.1Retracement forecast = $250 - $19.1 = $230.9

Any price level below $230 provides a good opportunity for the traders to enter into new positions in the direction of the trend. Likewise, we can calculate for 23.6%, 61.8% and the other Fibonacci ratios.

How to find Fibonacci retracement levels?

As we now know, retracements are the price movements that go against the original trend. To forecast the Fibonacci retracement level we should first identify the total up move or total down move. To mark the move, we need to pick the most recent high and low on the chart.

Let’s take an example of Exxon Mobil to understand the Fibonacci retracement construction

# To import stock pricesfrom pandas_datareader import data as pdr# To plotimport matplotlib.pyplot as pltdf = pdr.get_data_google('XOM','2017-08-01', '2017-12-31')fig, ax = plt.subplots()ax.plot(df.Close, color='black')

Fibonacci Retracement Trading Strategy In Python (3)

As seen from the graph, there is substantial upward movement in the price from September 2017 to end of October 2017. In this case, the minimum price is $76 and maximum price is $84. The $8 is the total up move.

price_min = 76 #df.Close.min()
price_max = 84 #df.Close.max()

The retracement levels for Fibonacci ratios of 23.6%, 38.2% and 61.8% are calculated as follows:

# Fibonacci Levels considering original trend as upward movediff = price_max - price_minlevel1 = price_max - 0.236 * difflevel2 = price_max - 0.382 * difflevel3 = price_max - 0.618 * diffprint "Level", "Price"print "0 ", price_maxprint "0.236", level1print "0.382", level2print "0.618", level3print "1 ", price_minax.axhspan(level1, price_min, alpha=0.4, color='lightsalmon')ax.axhspan(level2, level1, alpha=0.5, color='palegoldenrod')ax.axhspan(level3, level2, alpha=0.5, color='palegreen')ax.axhspan(price_max, level3, alpha=0.5, color='powderblue')plt.ylabel("Price")plt.xlabel("Date")plt.legend(loc=2)plt.show()

Output:Fibonacci Retracement Trading Strategy In Python (4)

Fibonacci Retracement Trading Strategy In Python (5)

The first retracement level at 23.6% is $82.10, the second retracement level at 38.6% is $80.90, and the next retracement level at 61.8% is $79.05. During mid-November, the Exxon Mobil stock price went down to $80.40, (falling below 38.6% retracement level) and then continued the upward movement.

How to use the Fibonacci retracement trading strategy?

The retracement levels can be used in a situation where you wanted to buy a particular stock but you have not been able to because of a sharp run-up in the stock price. In such a situation, wait for the price to correct to Fibonacci retracement levels such as 23.6%, 38.2%, and 61.8% and then buy the stock.The ratios 38.2% and 61.8% are the most important support levels.

This Fibonacci retracement trading strategy is more effective over a longer time interval and like any indicator, using the strategy with other technical indicators such as RSI, MACD, and candlestick patterns can improve the probability of success.

Good luck with Fibonacci trading :)

Next Step

There are many sources for getting data from various cryptocurrencies available on the net. In our post 'Cryptocurrencies Trading Strategy With Data Extraction Technique' learn the use of python library coinmarketcap to fetch data. To learn more Quantitative trading strategies, you can go through the

Quantitative Trading Strategies and Models course

.

Disclaimer:All investments and trading in the stock market involve risk. Any decisions to place trades in the financial markets, including trading in stock or options or other financial instruments is a personal decision that should only be made after thorough research, including a personal risk and financial assessment and the engagement of professional assistance to the extent you believe necessary. The trading strategies or related information mentioned in this article is for informational purposes only.

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Fibonacci Retracement Trading Strategy In Python (2024)

FAQs

How to calculate Fibonacci retracement in Python? ›

Fibonacci Retracement and Extensions for Trading in Python

If we take the Fibonacci sequence 0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89; and divide 55/89 we get 0.618, divide 34/89 we get 0.382, divide 21/89 we get 0.236, etc. The square root of 0.618 is 0.786. While not officially a Fibonacci ratio, 50% is also used.

How to solve Fibonacci sequence in Python? ›

The simplest way to print Fibonacci numbers is using a while loop in Python. We initialize two variables, a and b, with 0 and 1,, representing the series' starting numbers. Inside the while loop, we print the current term and update the variables by adding them. This continues recursively to generate the sequence.

Do professional traders use Fibonacci retracement? ›

Every foreign exchange trader will use Fibonacci retracements at some point in their trading career. Some will use them just some of the time, while others will apply them regularly.

Is Fibonacci retracement a good strategy? ›

Fibonacci retracement levels can significantly improve a trader's market timing by indicating potential reversal points. For example, if a currency pair reaches a 61.8% retracement level, it might signal a trend reversal, providing an opportune moment to enter or exit a position.

How profitable is Fibonacci retracement? ›

Overall, Fibonacci retracement was accurate only 37% of the time. If you exclusively used this indicator for trading, you would have more losing trades than winners. Additionally, the golden rule of 61.8% was no more likely to be reliable than any other Fibonacci level.

What is the golden ratio of Fibonacci in Python? ›

The Fibonacci series in Python unveils the fascinating relationship with the Fibonacci Golden Ratio, commonly symbolized as Phi (Φ), an irrational number hovering around 1.61803398875. This mathematical constant intricately intertwines with the Fibonacci sequence.

What is the easiest way to solve the Fibonacci sequence? ›

Fibonacci Sequence = 0, 1, 1, 2, 3, 5, 8, 13, 21, …. “3” is obtained by adding the third and fourth term (1+2) and so on. For example, the next term after 21 can be found by adding 13 and 21. Therefore, the next term in the sequence is 34.

Which timeframe is best for Fibonacci retracement? ›

The best time frame to identify Fibonacci retracements is a 30-to-60-minute candlestick chart, as it allows you to focus on the daily market swings at regular intervals.

What are the strongest Fibonacci retracement? ›

Summary: Fibonacci Trading

The key Fibonacci retracement levels to keep an eye on are: 23.6%, 38.2%, 50.0%, 61.8%, and 76.4%. The levels that seem to hold the most weight are the 38.2%, 50.0%, and 61.8% levels, which are normally set as the default settings of most forex charting software.

What is the best combination with Fibonacci retracement? ›

Fibonacci Retracement with bollinger bands: Bollinger Bands are a volatility indicator that can help traders identify price levels that are overbought or oversold. By combining Fibonacci retracement with Bollinger Bands, traders can confirm trades and improve their accuracy.

How to master Fibonacci retracement? ›

Finding Fibonacci Retracement Levels

In order to find these Fibonacci retracement levels, you have to find the recent significant Swing Highs and Swings Lows. Then, for downtrends, click on the Swing High and drag the cursor to the most recent Swing Low. For uptrends, do the opposite.

Which indicator is best with Fibonacci retracement? ›

The MACD is one of the most widely used technical analysis oscillators and can confirm almost perfectly the Fibonacci Retracement levels. The MACD actually indicates the relationship between two moving averages. MACD can be used for indicating crossovers, divergences or strong trends.

What are the best Fibonacci levels to take profit? ›

The most commonly used Fibonacci extension levels are 138.2 and 161.8. The rules for take profit orders are very individual, but most traders use it as follows: A 50, 61.8 or 78.6 retracement will often go to the 161 Fibonacci extension after breaking through the 0%-level.

How to calculate Fibonacci retracement? ›

You can calculate the Fibonacci retracement levels using the formulas:
  1. UR = High price - ((High price - Low price) × percentage) in an uptrend market; or.
  2. UR = Low price + ((High price - Low price) × percentage) in a downtrend market, where: UR is the uptrend retracement; DR is the downtrend retracement; and.
Jul 9, 2024

How do you check if a number is in the Fibonacci sequence Python? ›

To check if the given number is a Fibonacci number in Python, use the following property, i.e., A number is Fibonacci if and only if 5n^2 + 4 or 5n^2 – 4 is a perfect square.

What is 38.2 Fibonacci retracement? ›

The 38.2% level is the single most important retracement and is the level we use for the "Golden Rule". This rule being, " any market that is going to keep its current trend must hold 38.2%". As long as it does the trend will continue and it should make new highs/lows from that retracement.

How do you predict Fibonacci retracement? ›

To predict market reversals using Fibonacci retracement levels, you can analyze potential bounce-back or breakout points after a correction. In an uptrend, if the price retraces to the 38.2% level, it suggests a potential continuation of the upward momentum, making it a plausible entry or stop-loss point.

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