Pivotal Point Detection
The indicator highlights price gaps (overnight gaps) with significantly increased volume in the daily chart only. These price jumps can occur after earnings reports or other significant news and often point to an important event (e.g., a new product or business model). According to Jesse Livermore, these are called Pivotal Points.
The price jumps displayed by the indicator are not a guarantee that they represent a true Pivotal Point, but they provide a hint of a significant business development - especially when they occur repeatedly alongside revenue growth. This can help identify potentially strong growth stocks and high-performing investments. However, the underlying events and connections must be investigated through additional research.
make posible to find stocks like:
NYSE:PLTR NASDAQ:ROOT NASDAQ:NVDA NYSE:CVNA NYSE:LRN
A "pivotal price line" is drawn at the opening price of the Pivotal Point. This line is considered a support level. If the price falls below this line, the Pivotal Point loses its validity.
Growth-stocks
Optimal Buy Day (Zeiierman)█ Overview
The Optimal Buy Day (Zeiierman) indicator identifies optimal buying days based on historical price data, starting from a user-defined year. It simulates investing a fixed initial capital and making regular monthly contributions. The unique aspect of this indicator involves comparing systematic investment on specific days of the month against a randomized buying day each month, aiming to analyze which method might yield more shares or a better average price over time. By visualizing the potential outcomes of systematic versus randomized buying, traders can better understand the impact of market timing and how regular investments might accumulate over time.
These statistics are pivotal for traders and investors using the script to analyze historical performance and strategize future investments. By understanding which days offered more shares for their money or lower average prices, investors can tailor their buying strategies to potentially enhance returns.
█ Key Statistics
⚪ Shares
Definition: Represents the total number of shares acquired on a particular day of the month across the entire simulation period.
How It Works: The script calculates how many shares can be bought each day, given the available capital or monthly contribution. This calculation takes into account the day's opening price and accumulates the total shares bought on that day over the simulation period.
Interpretation: A higher number of shares indicates that the day consistently offered better buying opportunities, allowing the investor to acquire more shares for the same amount of money. This metric is crucial for understanding which days historically provided more value.
⚪ AVG Price
Definition: The average price paid per share on a particular day of the month, averaged over the simulation period.
How It Works: Each time shares are bought, the script calculates the average price per share, factoring in the new shares purchased at the current price. This average evolves over time as more shares are bought at varying prices.
Interpretation: The average price gives insight into the cost efficiency of buying shares on specific days. A lower average price suggests that buying on that day has historically led to better pricing, making it a potentially more attractive investment strategy.
⚪ Buys
Definition: The total number of transactions or buys executed on a particular day of the month throughout the simulation.
How It Works: This metric increments each time shares are bought on a specific day, providing a count of all buying actions taken.
Interpretation: The number of buys indicates the frequency of investment opportunities. A higher count could mean more consistent opportunities for investment, but it's important to consider this in conjunction with the average price and the total shares acquired to assess overall strategy effectiveness.
⚪ Most Shares
Definition: Identifies the day of the month on which the highest number of shares were bought, highlighting the specific day and the total shares acquired.
How It Works: After simulating purchases across all days of the month, the script identifies which day resulted in the highest total number of shares bought.
Interpretation: This metric points out the most opportune day for volume buying. It suggests that historically, this day provided conditions that allowed for maximizing the quantity of shares purchased, potentially due to lower prices or other factors.
⚪ Best Price
Definition: Highlights the day of the month that offered the lowest average price per share, indicating both the day and the price.
How It Works: The script calculates the average price per share for each day and identifies the day with the lowest average.
Interpretation: This metric is key for investors looking to minimize costs. The best price day suggests that historically, buying on this day led to acquiring shares at a more favorable average price, potentially maximizing long-term investment returns.
⚪ Randomized Shares
Definition: This metric represents the total number of shares acquired on a randomly selected day of the month, simulated across the entire period.
How It Works: At the beginning of each month within the simulation, the script selects a random day when the market is open and calculates how many shares can be purchased with the available capital or monthly contribution at that day's opening price. This process is repeated each month, and the total number of shares acquired through these random purchases is tallied.
Interpretation: Randomized shares offer a comparison point to systematic buying strategies. By comparing the total shares acquired through random selection against those bought on the best or worst days, investors can gauge the impact of timing and market fluctuations on their investment strategy. A higher total in randomized shares might indicate that over the long term, the specific days chosen for investment might matter less than consistent market participation. Conversely, if systematic strategies yield significantly more shares, it suggests that timing could indeed play a crucial role in maximizing investment returns.
⚪ Randomized Price
Definition: The average price paid per share for the shares acquired on the randomly selected days throughout the simulation period.
How It Works: Each time shares are bought on a randomly chosen day, the script calculates the average price paid for all shares bought through this randomized strategy. This average price is updated as the simulation progresses, reflecting the cost efficiency of random buying decisions.
Interpretation: The randomized price metric helps investors understand the cost implications of a non-systematic, random investment approach. Comparing this average price to those achieved through more deliberate, systematic strategies can reveal whether consistent investment timing strategies outperform random investment actions in terms of cost efficiency. A lower randomized price suggests that random buying might not necessarily result in higher costs, while a higher average price indicates that systematic strategies might provide better control over investment costs.
█ How to Use
Traders can use this tool to analyze historical data and simulate different investment strategies. By inputting their initial capital, regular contribution amount, and start year, they can visually assess which days might have been more advantageous for buying, based on historical price actions. This can inform future investment decisions, especially for those employing dollar-cost averaging strategies or looking to optimize entry points.
█ Settings
StartYear: This setting allows the user to specify the starting year for the investment simulation. Changing this value will either extend or shorten the period over which the simulation is run. If a user increases the value, the simulation begins later and covers a shorter historical period; decreasing the value starts the simulation earlier, encompassing a longer time frame.
Capital: Determines the initial amount of capital with which the simulation begins. Increasing this value simulates starting with more capital, which can affect the number of shares that can be initially bought. Decreasing this value simulates starting with less capital.
Contribution: Sets the monthly financial contribution added to the investment within the simulation. A higher contribution increases the investment each month and could lead to more shares being purchased over time. Lowering the contribution decreases the monthly investment amount.
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Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
Fair Value by MMEnglish
IMPORTANT NOTICE
This indicator is used to find fair value based on historical data. Past growth data may not be sustainable, which will cause the price targets given by the indicator to be inaccurate. Any price on this indicator cannot be considered as investment advice. Trading decisions are the responsibility of the person using the indicator.
What is the Fair Value by MM indicator?
This is an indicator that tries to find the fair value of a stock by looking at its historical data and growth over a certain period of time. By analyzing a stock's historical growth data, it generates a fair value and potential price estimate.
The indicator presents the financial data of a stock with 3 different data sets.
1. Summary and Valuation
2. Average Quarterly Growth
3. Profit margins
** Number of Lookback Periods for Quarters **
The first input of the indicator is where you specify how many quarters back to value the stock. By default, it is based on the last 12 quarters, i.e. 3 years. Since there is not enough historical data for newly listed companies, you can change this figure according to the company you are analyzing.
** Show Summary **
The Indicator starts in this mode by default. This mode gives you data such as sales, EBITDA, EBIT, net profit and free cash flow in PER SHARE and TTM values. The reason for using per share values is that a company's price is per share, and it saves you time to look at all other metrics on a per share basis. For example, if a company with a share price of $10 has sales per share of $5, we can say that this company has generated half of its market capitalization in sales revenue in the last 1 year.
In the indicator's default mode (Show Summary);
1. Sales per share TTM (Red)
2. EBITDA per share TTM (Orange)
3. EBIT per share TTM (Yellow)
4. Net Income per share TTM (Blue)
5. Free Cash Flow per share TTM (Green)
6. Share close price (White)
7. Fair value of the share (Green if price is below fair value, Red if price is above fair value)
8. Price target for the next 12 months (Yellow)
** Show AVG Growth QoQ **
When this option is selected, you can see the average quarterly growth in sales, EBITDA, EBIT, net profit and free cash flow, respectively, over the period you have selected (e.g. the last 12 quarters). This data gives an idea about the company's growth and the pace of its growth.
** Show Profit Margins **
When this option is selected, you can see gross profit margin, EBITDA margin, EBIT margin, net profit margin and free cash flow margin data respectively. It provides a quick overview to determine whether the company is increasing revenue by narrowing profit margins or increasing both revenue growth and profit margins.
** Include Sales **
When this option is selected, sales revenues are included in the company's valuation.
** Include Ebitda **
When this option is selected, EBITDA is included in the valuation of the company.
** Include Ebit **
When this option is selected, EBIT is included in the valuation of the company.
** Include Net Profit **
When this option is selected, net profit is included in the valuation of the company.
** Include FCF **
When this option is selected, free cash flow is included in the valuation of the company.
By default, the valuation is based on sales, EBITDA and EBIT. Net profit and free cash flow can be optionally selected. Or the metrics you do not want can be excluded from the valuation calculation.
What do the colors mean?
** Red **
Represents the company's data related to the company's sales.
** Orange **
Represents the company's data related to the company's EBITDA.
** Yellow **
Represents the company's data related to the company's EBIT.
** Blue **
Represents the company's data related to the company's Net Income.
** Green **
Represents the company's data related to the company's Free Cash Flow.
Turkish
ÖNEMLİ UYARI
Bu indikatör geçmiş verileri baz alarak adil değer bulmaya yarar. Geçmişte oluşan büyüme verileri sürdürelebilir olmayabilir, bu da indikatörün verdiği fiyat hedeflerinin yanılmasına sebep olacaktır. Bu indikatör üzerinde yer alan herhangi bir fiyat, yatırım tavsiyesi kapsamında değerlendirilemez. Alım/satım kararları indikatörü kullanan kişinin sorumluluğundadır.
Fair Value by MM indikatörü nedir?
Bu bir hissenin belirli bir periyotu kapsayan geçmiş verilerine ve gelişimlerine bakarak adil değerini bulmaya çalışan bir indikatördür. Bir hissenin geçmiş büyüme verilerini analiz ederek adil değer ve potansiyel fiyat tahmini oluşturur.
İndikatör bir hissenin finansal datasını 3 farklı veri seti ile sunmaktadır.
1. Özet ve Değerleme
2. Ortalama Çeyreklik Büyümeler
3. Kar marjları
** Number of Lookback Periods for Quarters **
İndikatörün ilk input’u, hisseyi değerlemek için kaç çeyrek geriye bakacağınızı belirttiğiniz kısımdır. Varsayılan olarak son 12 çeyrek, yani 3 yılı baz alır. Yeni arz olmuş şirketlerde yeterli geçmiş veri bulunmadığı için bu rakamı incelediğiniz şirkete göre değiştirebilirsiniz.
** Show Summary **
İndikatör varsayılan olarak bu modda başlar. Bu mod, satışlar, favök, esas faaliyet karı, net kar ve serbest nakit akışı gibi verileri HİSSE BAŞINA ve YILLIKLANDIRILMIŞ değerleri ile size verir. Hisse başına değerlerin kullanılmasındaki sebep, bir şirketin fiyatı hisse başınadır, ve diğer tüm metriklere hisse başına bakmak size zaman kazandırır. Örneğin, hisse fiyatı $10 olan bir şirketin, hisse başına satışları $5 ise, bu şirket son 1 yılda piyasa değerinin yarısı kadar satış geliri elde etmiş diyebiliriz.
İndikatörün varsayılan modunda (Show Summary);
1. Hisse başına yıllıklandırılmış Satışlar (Kırmızı)
2. Hisse başına yıllıklandırılmış FAVÖK (Turuncu)
3. Hisse başına yıllıklandırılmış Esas Faaliyet Karı (Sarı)
4. Hisse başına yıllıklandırılmış Net Kar (Mavi)
5. Hisse başına yıllıklandırılmış Serbest Nakit Akışı (Yeşil)
6. Hisse kapanış fiyatı (Beyaz)
7. Hissenin adil değeri (Fiyat Adil değerin altında ise Yeşil, Üstünde ise Kırmızı)
8. Önümüzdeki 12 aylık fiyat hedefi (Sarı)
** Show AVG Growth QoQ **
Bu seçenek seçildiğinde, sırası ile satışlar, favök, esas faaliyet karı, net kar ve serbest nakit akışının, seçmiş olduğunuz periyotta (örneğin son 12 çeyrek), çeyreklik olarak ortalama % kaç büyüdüğünü görebilirsiniz. Bu veri, şirketin gelişimi ve gelişim hızı hakkında fikir vermektedir.
** Show Profit Margings **
Bu seçenek seçildiğinde, sırası ile brüt kar marjı, favök marjı, esas faaliyet kar marjı, net kar marjı ve serbest nakit akışı marjı verilerini görebilirsiniz. Şirketin karlılık marjlarını daraltarak mı gelirini arttırdığını yoksa hem gelir artışı hem de kar marjlarını arttırdığını tespit etmek için hızlı bir bakış sunar.
** Include Sales **
Bu seçenek seçildiğinde, şirketin değerlemesine satış gelirleri dahil edilir.
** Include Ebitda **
Bu seçenek seçildiğinde, şirketin değerlemesine favök dahil edilir.
** Include Ebit **
Bu seçenek seçildiğinde, şirketin değerlemesine esas faaliyet karları dahil edilir.
** Include Net Profit **
Bu seçenek seçildiğinde, şirketin değerlemesine net kar dahil edilir.
** Include FCF **
Bu seçenek seçildiğinde, şirketin değerlemesine serbest nakit akışı dahil edilir.
Varsayılan olarak, satışlar, favök ve esas faaliyet karı üzerinden değerleme yapılır. Net kar ve serbest nakit akışı isteğe göre seçilebilir. Ya da istemediğiniz metrikler değerleme hesaplamasından çıkarılabilir.
Renkler ne anlama geliyor?
** Kırmızı **
Şirketin satışları ile ilgili verilerini temsil eder.
** Turuncu **
Şirketin favök’ü ile ilgili verilerini temsil eder.
** Sarı **
Şirketin esas faaliyet karı ile ilgili verilerini temsil eder.
** Mavi **
Şirketin net karı ile ilgili verileri temsil eder.
** Yeşil **
Şirketin serbest nakit akışı ile ilgili verilerini temsil eder.
EPS DashboardThis script creates a little table in an indicator below your chart that allows you to view the earnings per share over the last year as well as calculates the year over year earnings per share growth. According to IBD, strong EPS growth is a great indicator of a potential super-performer stock so hopefully this will make it easier to keep an eye on this metric. Note it does not work on things without financial data like crypto, indexes, and ETFs.
3 Weeks Tight - CANSLIM Technical Indicator3 Weeks Tight - Introduction
3 weeks tight is a bullish continuation pattern discovered by IBD's founder, William O'Neil.
The pattern can used as an opportunity to add to an existing position as it often occurs after a breakout above a cup with handle or other technical pattern.
The 3 weeks tight pattern forms when a stock closes within approximately 1% to 1.5% of the prior week's close for at least two weeks. The reason for the bullishness is that it indciates that investors who moved the stock upward in price since the breakout are not taking profits, the price is holding steady.
The buy point is just above the area of resistance formed at the highs of the three weeks plus 10 cents. The ten cent addition to the price is to ensure a push through the resistance at the high of the range.
Key Points:
It's preferred that closes for each week are in the upper half of the stock's range.
Ideally, volume will increase significantly as the stocks moves past the buy point.
This pattern generally performs best when the market is in an uptrend.
Features:
A configurable horizontal bar that spans the 3 week period.
A vertical band that highlights the tightness pattern.
A label to show the buy price after 3 week tight pattern.
Optional alert when the 3 weeks tight pattern is recognized.
Portfolio and Risk Management: Gold Based Net Growth CoefficientHello, if our topic is stocks, whatever signal we get, we have to divide and reduce the risk.
Apart from the risk, we need inflation-free figures to detect a clear growth.
Gold is one of the most successful tools to beat inflation in this regard in the historical context.
When the economy is good, we have to beat both commodities and inflation.
For this purpose, I found it appropriate to develop a net growth factor free from gold growth.
Investors need several stocks with a high growth rate and as much risk-free as possible.
Personally, I think that the science of portfolio and risk management will last a lifetime and should continue.
I think this subject is a research and development subject.(R & D)
My research and publications on this matter will continue publicly.
I wish everyone a good day.
NOTE : You can determine the return in the time period you want to look back by adjusting the period in the rate you want from the menu.
The standard value is 200 days. (1 year)
Naked Put - Growth IndicatorDISCLAIMER: Do NOT follow this strategy unless you are aware of the risks of selling naked options.
1) I have identified 20 companies with 30%+ YoY revenue growth (using the most recent quarter) and minimum "average trading volume": ZEN, TEAM, BABA, SHOP, RNG, SPLK, NFLX, FB, WIX, SQ, MULE, WDAY, MU, HUBS, ABT, LOGM, NEWR, NVDA, MELI, AMZN, NOW. I like companies that fit this criteria because 30%+ revenue growth means their revenue double every ~2.5 year and their "market cap" is based on their revenue.
2) When you see a green "$" icon above a candle on a DAILY chart, that means it's a good time to "sell naked puts" using the solid green line as the approximate "strike price". I prefer 3-9 months until expiration and "stagger" my expirations so it's not possible for everything to be put to me all at once.
3) I use a "minimum premium" and "max contracts" that I sell that suits my risk tolerance, you will need to calculate your own contract size based on your risk tolerance.
*NOTE: This only works on a DAILY chart, and only works on the companies identified above -- if you are using intraday, weekly or monthly, the "$" signs do NOT appear.
RISK NOTE: I do NOT sell any naked puts unless I am 100% ready to own the shares AND have enough capital in my account if they are put to me, you should do the same. Don't follow this strategy unless you are prepared to OWN shares at expiration.
