Ratio

Realized Profit & Loss [BigBeluga]The Realized Loss & Profit indicator aims to find potential dips and tops in price by utilizing the security function syminfo.basecurrency + "_LOSSESADDRESSES". The primary objective of this indicator is to present an average, favorable buying/selling opportunity based on the number of people currently in profit or loss. The script takes into consideration the syminfo.basecurrency, so it should automatically adapt to the current coin. 🔶 USAGE Users have the option to enable the display of either Loss or Profit, depending on their preferred visualization. Examples of displaying Losses: Example of displaying Profits: 🔶 CONCEPTS The concept aims to assign a score to the data in the ticker representing the realized losses. This score will provide users with an average of buying/selling points that are better to the typical investor. 🔶 SETTINGS Users have complete control over the script settings. 🔹 Calculation • Profit: Display people in profit on an average of the selected length. • Loss: Display people in loss on an average of the selected length. 🔹 Candle coloring • True: Color the candle when data is above the threshold. • False: Do not color the candle. 🔹 Levels - Set the level of a specific threshold. • Low: Low losses (green). • Normal: Low normal (yellow). • Medium: Low medium (orange). • High: Low high (red). 🔹 Z-score Length: Length of the z-score moving window. 🔹 Threshold: Filter out non-significant values. 🔹 Histogram width: Width of the histogram. 🔹 Colors: Modify the colors of the displayed data. 🔶 LIMITATIONS • Since the ticker from which we obtain data works only on the daily timeframe, we are restricted to displaying data solely from the 1D timeframe. • If the coin does not have any realized loss data, we can't use this script.

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The Strat with Continuity [starlord_xrp]This indicator shows entry and exit points for The Strat as well as potential setups. It also has full time frame continuity detection.

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by starlord_xrp

Ratio To Average - The Quant Science Ratio To Average - The Quant Science is a quantitative indicator that calculates the percentage ratio of the market price in relation to a reference average. The indicator allows the calculation of the ratio using four different types of averages: SMA, EMA, WMA, and HMA. The ratio is represented by a series of histograms that highlight periods when the ratio is positive (in green) and periods when the ratio is negative (in red). What is the Ratio to Average? The Ratio to Average is a measure that tracks the price movements with one of its averages, calculating how much the price is above or below its own average, in percentage terms. USER INTERFACE Lenght: it adjusts the number of bars to include in the calculation of the average. Moving Average: it allows you to choose the type of average to use. Color Up/Color Down : it allows you to choose the color of the indicator for positive and negative ratios.

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by thequantscience

TTP OI + LS signal filter This oscillator helps filtering specific conditions in the market based on open interest (OI) and the ratio of longs and shorts (LS) for crypto assets. Currently it works with BINANCE:BTCUSDT.P but soon I'll be adding support for more assets. It flags areas of interest like: - Too many longs, too many shorts in the market - Open interest too high or too low It accepts an external signal as a source in which case filters can be applied to the original signal. For example the external signal might trigger and plot a 1 when RSI break below 70. By connecting such signal with this oscillator you'll be able to only pass-through the ones that occur when any of the areas of interest mentioned above are also valid. If both filter are applied it acts as an OR. For example, if too many longs and too many shorts are active, it will pass through the signal in either condition. The results of the original signal filtered is printed to be able to later use it in any external backtester strategy that accepts external sources too. If external source signal is disabled it will trigger any time the combined filters are returning true. Open interest and the ratio of longs/shorts is considered too high whenever the stochastic RSI calculation of the OI or ratio LS reaches a level above 80 and too low when below 20 The ratio of long/shorts is calculated by dividing the ratio of longs vs shorts from BITFINEX:BTCUSDLONGS and BITFINEX:BTCUSDSHORTS

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by TheTradingParrot

Put to Call Ratio Correlation Hello! Excited to share this with the community! This is actually a very simple indicator but actually usurpingly helpful, especially for those who trade indices such as SPX, IWM, QQQ, etc. Before I get into the indicator itself, let me explain to you its development. I have been interested in the use of option data to detect sentiment and potential reversals in the market. However, I found option data on its own is full of noise. Its very difficult if not impossible for a trader to make their own subjective assessment about how option data is reflecting market sentiment. Generally speaking, put to call ratios generally range between 0.8 to 1.1 on average. Unless there is a dramatic pump in calls or puts causing an aggressive spike up to over this range, or fall below this range, its really difficult to make the subjective assessment about what is happening. So what I thought about trying to do was, instead of looking directly at put to call ratio, why not see what happens when you perform a correlation analysis of the PTC ratio to the underlying stock. So I tried this in pinescript, pulling for Tradingview's ticker PCC (Total Equity Put to Call Ratio) and using the ta.correlation function against whichever ticker I was looking at. I played around with this idea a bit, pulled the data into excel and from this I found something interesting. When there is a very significant negative or positive correlation between PTC ratio and price movement, we see a reversal impending. In fact, a significant negative or positive correlation (defined as a R value of 0.8 or higher or -0.8 or lower) corresponded to a stock reversal about 92% of the time when data was pulled on a 5 minute timeframe on SPY. But wait, what is a correlation? If you are not already familiar, a correlation is simply a statistical relationship. It is defined with a Pearson R correlation value which ranges from 0 (no correlation) to 1 (significant positive correlation) and 0 to -1 (significant negative correlation). So what does positive vs negative mean? A significant positive correlation means the correlation is moving the same as the underlying. In the case of this indicator, if there is a significant positive correlation could mean the stock price is climbing at the same time as the PTC ratio. Inversely, it could mean the stock price is falling as well as the PTC ratio. A significant negative correlation means the correlation is moving in the opposite direction. So in this case, if the stock price is climbing and the PTC ratio is falling proportionately, we would see a significant negative correlation. So how does this work in real life? To answer this, let's get into the actual indicator! In the image above, you will see the arrow pointing to an area of significant POSITIVE correlation. The indicator will paint the bars on the actual chart purple (customizable of course) to signify this is an area of significant correlation. So, in the above example this means that the PTC ratio is increase proportionately to the increase in the stock price in the SAME direction (Puts are going up proportionately to the stock price). Thus, we can make the assumption that the underlying sentiment is overwhelmingly BEARISH. Why? Because option trading activity is significantly proportionate to stock movement, meaning that there is consensus among the options being traded and the movement of the market itself. And in the above example we will see, the stock does indeed end up selling: In this case, IWM fell roughly 1 point from where there was bearish consensus in the market. Let's use this same trading day and same example to show the inverse: You will see a little bit later, a significant NEGATIVE correlation developed. In this case identified, the stock wise RISING and the PTC ratio was FALLING. This means that Puts were not being bought up as much as calls and the sentiment had shifted to bullish . And from that point, IWM ended up going up an additional 0.75 points from where there was a significant INVERSE correlation. So you can see that it is helpful for identifying reversals. But what is also can be used for is identifying areas of LOW conviction. Meaning, areas where there really is no relationship between option activity and stock movement. Let's take spy on the 1 hour timeframe for this example: You can see in the above example there really is no consensus in the option trading activity with the overarching sentiment. The price action is choppy and so too is option trading activity. Option traders are not pushing too far in one direction or the other. We can also see the lack of conviction in the option trading activity by looking at the correlation SMA (the white line). When a ticker is experiencing volatile and good movement up and down, the SMA will generally trade to the top of the correlation range (roughly + 1.0) and then make a move down to the bottom (roughly - 1.0), see the example below: When the SMA is not moving much and accumulating around the centerline, it generally means a lot of indecision. Additional Indicator Information: As I have said, the indicator is very simple. It pulls the data from the ticker PCC and runs a correlation assessment against whichever ticker you are on. PCC pulls averaged data from all equities within the market and is not limited to a single equity. As such, its helpful to use this with indices such as SPY, IWM and QQQ, but I have had success with using it on individual tickers such as NVDA and AMD. The correlation length is defaulted to 14. You can modify it if you wish, but I do recommend leaving it at this as the default and the testing I have done with this have all been on the 14 correlation length. You can chose to smooth the SMA over whichever length of period you wish as well. When the indicator is approaching a significant negative or positive relationship, you will see the indicator flash red in the upper or lower band to signify the relationship. As well, the chart will change the bar colour to purple: Everything else is pretty straight forward. Let me know your questions/comments or suggestions around the indicator and its applications. As always, no indicator is meant to provide a single, reliable strategy to your trading regimen and no indicator or group of indicators should be relied on solely. Be sure to do your own analysis and assessments of the stock prior to taking any trades. Safe trades everyone!

Indicator

by Steversteves

Momentum Ratio Oscillator [Loxx]What is Momentum Ratio Oscillator? The theory behind this indicator involves utilizing a sequence of exponential moving average (EMA) calculations to achieve a smoother value of momentum ratio, which compares the current value to the previous one. Although this results in an outcome similar to that of some pre-existing indicators (such as volume zone or price zone oscillators), the use of EMA for smoothing is what sets it apart. EMA produces a smooth step-like output when values undergo sudden changes, whereas the mathematics used for those other indicators are completely distinct. This is a concept by the beloved Mladen of FX forums. To utilize this version of the indicator, you have the option of using either levels, middle, or signal crosses for signals. The indicator is range bound from 0 to 1. What is an EMA? EMA stands for Exponential Moving Average, which is a type of moving average that is commonly used in technical analysis to smooth out price data and identify trends. In a simple moving average (SMA), each data point is given equal weight when calculating the average. For example, if you are calculating the 10-day SMA, you would add up the prices for the past 10 days and divide by 10 to get the average. In contrast, in an EMA, more weight is given to recent prices, while older prices are given less weight. The formula for calculating an EMA involves using a smoothing factor that is multiplied by the difference between the current price and the previous EMA value, and then adding this to the previous EMA value. The smoothing factor is typically calculated based on the length of the EMA being used. For example, a 10-day EMA might use a smoothing factor of 2/(10+1) or 0.1818. The result of using an EMA is that the line produced is more responsive to recent price changes than a simple moving average. This makes it useful for identifying short-term trends and potential trend reversals. However, it can also be more volatile and prone to whipsaws, so it is often used in combination with other indicators to confirm signals. Overall, the EMA is a widely used and versatile tool in technical analysis, and its effectiveness depends on the specific context in which it is applied. What is Momentum? In technical analysis, momentum refers to the rate of change of an asset's price over a certain period of time. It is often used to identify trends and potential trend reversals in financial markets. Momentum is calculated by subtracting the closing price of an asset X days ago from its current closing price, where X is the number of days being used for the calculation. The result is the momentum value for that particular day. A positive momentum value suggests that prices are increasing, while a negative value indicates that prices are decreasing. Traders use momentum in a variety of ways. One common approach is to look for divergences between the momentum indicator and the price of the asset being traded. For example, if an asset's price is trending upwards but its momentum is trending downwards, this could be a sign of a potential trend reversal. Another popular strategy is to use momentum to identify overbought and oversold conditions in the market. When an asset's price has been rising rapidly and its momentum is high, it may be considered overbought and due for a correction. Conversely, when an asset's price has been falling rapidly and its momentum is low, it may be considered oversold and due for a bounce back up. Momentum is also often used in conjunction with other technical indicators, such as moving averages or Bollinger Bands, to confirm signals and improve the accuracy of trading decisions. Overall, momentum is a useful tool for traders and investors to analyze price movements and identify potential trading opportunities. However, like all technical indicators, it should be used in conjunction with other forms of analysis and with consideration of the broader market context. Extras Alerts Signals Loxx's Expanded Source Types, see here for details

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IOFin F-Score by zdmre 🗣The IOFin F-Score is a discrete score between zero and ten that reflects ten criteria used to determine the strength of a firm's financial position. 🗣It is used to determine the best value stocks, with ten being the best and zero being the worst. The IOFin F-Score broken down into the following categories: Profitability Equity, cash flow, liquidity, and source of funds Operating efficiency Criteria Include: Price to book (P/B) lower than 3 (1 point) Debt to Equity (D/E) lower than 0.5 (1 point) Price to FreeCashFlow (P/FCF) equal to or lower than 20 (1 point) Peg Ratio lower than 1 (1 point) Sustainable Growth Rate higher than 0.3 (1 point) Return on Assets (ROIC) higher than 0.07 (1 point) Return on Equity (ROE) higher than 0.3 (1 point) EnterpriseValue/Ebitda lower than 10 (1 point) Quick Ratio equal to or higher than 1 (1 point) Operating Margin higher than 0.15 (1 point)

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Futures/Spot Ratio what is Futures /Spot Ratio? Although futures and spot markets are separate markets, they are correlated. arbitrage bots allow this gap to be closed. But arbitrage bots also have their limits. so there are always slight differences between futures and spot markets. By analyzing these differences, the movements of the players in the market can be interpreted and important information about the price can be obtained. Futures /Spot Ratio is a tool that facilitates this analysis. what it does? it compresses the ratio between two selected spot and futures trading pairs between 0 and 100. its purpose is to facilitate use and interpretation. it also passes a regression (Colorful Regression) through the middle of the data for the same purpose. about Colorful Regression: how it does it? it uses this formula: how to use it? use it to understand whether the market is priced with spot trades or leveraged positions. A value of 50 is the breakeven point where the ratio of the spot and leveraged markets are equal. Values above 50 indicate excess of long positions in the market, values below 50 indicate excess of short positions. I have explained how to interpret these ratios with examples below.

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Body / Range %Body / Range is a volatility indicator that shows how many percentages the body candle occupies the range. The ratio tells us about the health and confidence of the current candlestick. Since overall candle Range is always bigger than the body range, Body/Range indicator will always fluctuate inside a range of 0 and 100%. I didn't use True Range because it considers gaps and the ratio won't be considering individual candles. Therefore, I used high - low and identified it as Range. In this function, the wicks play obviously role in determining the ratio too without its variable separately in the formula. I wouldn't use wicks here because Range = body + total wicks anyway. It already covers the variable. If I made the ratio with Body / Total Wicks, we wouldn't have stable 0 - 100% range of the indicator by the way. So it's fully justified dividing Body by Range to get some summarized Candle Metrics. Logically we assume that if wicks are relatively bigger than body then the ratio will be relatively smaller and vice versa. Change TF of the indicator is possible. For example, 3 months per bar would look like this:

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Accumulated Put/Call Ratio V2 This is an updated version of the Accumulated P/C Ratio. Some changes include: - Pinescript privacy changed from protected to open. - Utilizes the "request.security_lower_tf" function for weekly and monthly charts. - Now acquires and sums raw put volume (ticker: PVOL) and call volume (ticker: CVOL) separately, then divides the aggregate put to aggregate call to get the P/C ratio, as opposed to the original version which directly sums the put call ratio (ticker: PCC). Mathematically this calculation makes more sense, but the major drawback of this change seems to be that PVOL and CVOL don't have as much historical data as PCC. The way to interpret the indicator is the same as the original version - higher values are bullish while lower values are bearish. A solid (0 transparency) bar means that the value is beyond 3 standard deviations within a particular period.

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Buyer to Seller Volume (BSV) Indicator As promised, here is the buyer to seller volume indicator! About it/How it works: The indicator tracks buying and selling volume. It does it simplistically but effectively simply by looking at red vs green candles and averaging out the volume of each respective candle. It uses the SMA of buying/selling and overall volume to track buyers to sellers and also display the average volume traded over a designated period of time. Legend: Green lines = buying volume Red lines = selling volume Yellow lines = SMA over designated period of time (user input defined, default is 14 candles). Buyers are shown in green and sellers are shown in red: How to Use it: Default, the indicator goes to 1 Day, 14 candle period. My preference personally is to use to have it go to "chart" but you can view any time period on the chart that you want and designate the time period of volume you want to view independently. This can be used for: 1. Identify trends: When buying or selling volume is above selling volume and above the SMA, you know that this persuasively supports a bullish trend. Inverse for the opposite (see below): 2. To identify fakeouts and whether there is volume backing a move: 3. To identify potential changes in trends via a cross: Its also a great reference when you are unsure of a move. This indicator literally just saved me from wrongfully shorting the FOMC bear flag today: Probably many other uses you can find, but these are the things I like to use it for! As always, I have posted a tutorial video for your reference: As always though, if you have any questions, comments or suggestions for the indicator, please share them below! Safe trades and best of luck to all!

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by Steversteves

Fixed Quantum Vector Select a zone to analyse the vectors. This screener show the ratio of the bullish and bearish candle vector and on volume. Slide the white bar to choose your sample size or you can enter the date. Click label to hide start calculation and end calculation. - Happy trading

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Financial Metrics Gives a sneak peak into some of the important financial ratios described below: 1. P/E : price to earnings ratio (Green when P/E<15) 2. PEG: Price to earnings growth ratio (Green when PEG<1) 3. P/S: Price to sales ratio (Green when P/S<2) 4. EV/FCF: Enterprise Value to Free Cashflow ratio 5. OPM: Operating Profit Margin % (Green when OPM>15%) 6. D/E: Debt to equity ratio (Green when D/E<1) 7. ROE: Return on equity % (Green when ROE>15%) 8. Div_Yield: Dividend yield Disclaimer: All the limits defined are based on the widely accepted general values, but are subjective to particular sector or group of stocks. For example IT stocks command higher valuation than cyclical stocks like metal. So Compare with other stocks of the same sector to reach any conclusion.

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KERPD Noise Filter - Kaufman Efficiency Ratio and Price Density This indicator combines Kaufman Efficiency Ratio (KER) and Price Density theories to create a unique market noise filter that is 'right on time' compared to using KER or Price Density alone. All data is normalized and merged into a single output. Additionally, this indicator provides the ability to consider background noise and background noise buoyancy to allow dynamic observation of noise level and asset specific calibration of the indicator (if desired). The basic theory surrounding usage is that: higher values = lower noise, while lower values = higher noise in market. Notes: NON-DIRECTIONAL Kaufman Efficiency Ratio used. Threshold period of 30 to 40 applies to Kaufman Efficiency Ratio systems if standard length of 20 is applied; maintained despite incorporation of Price Density normalized data. TRADING USES: -Trend strategies, mean reversion/reversal/contrarian strategies, and identification/avoidance of ranging market conditions. -Trend strategy where KERPD is above a certain value; generally a trend is forming/continuing as noise levels fall in the market. -Mean reversion/reversal/contrarian strategies when KERPD exits a trending condition and falls below a certain value (additional signal confluence confirming for a strong reversal in price required); generally a reversal is forming as noise levels increase in the market. -A filter to screen out ranging/choppy conditions where breakouts are frequently fake-outs and or price fails to move significantly; noise level is high, in addition to the background buoyancy level. -In an adaptive trading systems to assist in determining whether to apply a trend following algorithm or a mean reversion algorithm. THEORY / THOUGHT SPACE: The market is a jungle. When apex predators are present it often goes quiet (institutions moving price), when absent the jungle is loud. There is always background noise that scales with the anticipation of the silence, which has features of buoyancy that act to calibrate the beginning of the silence and return to background noise conditions. Trend traders hunt in low noise conditions. Reversion traders hunt in the onset of low noise into static conditions. Ranges can be avoided during high noise and buoyant background noise conditions. Distance between the noise line and background noise can help inform decision making. CALIBRATION: - Set the Noise Threshold % color change line so that the color cut off is where your trend/reversion should begin. - Set the Background Noise Buoyancy Calibration Decimal % to match the beginning/end of the color change Noise Threshold % line. Match the Background Noise Baseline Decimal %' to the number set for buoyancy. - Additionally, create your own custom settings; 33/34 and 50 length also provides interesting results. - A color change tape option can be enabled by un-commenting the lines at the bottom of this script. Market Usage: Stock, Crypto, Forex, and Others Excellent for: NDQ, J225, US30, SPX Market Conditions: Trend, Reversal, Ranging

Indicator

by SensitiveSuit

ABC 123 Harmonic Ratio Custom Range Interactive █ OVERVIEW This indicator was designed based on Harmonic Trading : Volume One written by Scott Carney. This is about harmonic ratios which expanded through retracement and projection. Derivation is pretty much explained here such as Primary, Primary Derivation, Secondary Derivation and Secondary Derivation Extreme. Derivation value depends on minimum retracement or maximum projection. This derivation value utilize Fibonacci value which later expand to Harmonic Ratio. █ INSPIRATION Inspired by design, code and usage of CAGR . Basic usage of custom range / interactive, pretty much explained here . Credits to PulseWire. This build is based and visualized upon Harmonic Trading Ratios. This build also was stripped down from XABCD Harmonic Pattern Custom Range Interactive . █ CREDITS Scott Carney, Harmonic Trading : Volume One (Page 18) █ FEATURES Table can positioned by any position and font size can be resized. Labels can be either changed to alphabets or numbers. █ HOW TO USE Draw points from Point A to Point C. Dont worry about magnet, point will attached depends on High or Low of the candle. █ USAGE / TIPS EXAMPLES (Description explained in each image)

Indicator

by RozaniGhani-RG

Bitcoin Golden Pi Cycles Tops are signaled by the fast top MA crossing above the slow top MA, and bottoms are signaled by the slow bottom MA crossing above the fast bottom MA. Alerts can be set on top and bottom prints. Does not repaint. Similar to the work of Philip Swift regarding the Bitcoin Pi Cycle Top, I’ve recently come across a similar mathematically curious ratio that corresponds to Bitcoin cycle bottoms. This ratio was extracted from skirmantas’ Bitcoin Super Cycle indicator . Cycle bottoms are signaled when the 700D SMA crosses above the 137D SMA (because this indicator is closed source, these moving averages were reverse-engineered). Such crossings have historically coincided with the January 2015 and December 2018 bottoms. Also, although yet to be confirmed as a bottom, a cross occurred June 19, 2022 (two days prior to this article) The original pi cycle uses the doubled 350D SMA and the 111D SMA . As pointed out this gives the original pi cycle top ratio: 350/111 = 3.1532 ≈ π Also, as noted by Swift, 111 is the best integer for dividing 350 to approximate π. What is mathematically interesting about skirmanta’s ratio? 700/138 = 5.1095 After playing around with this for a while I realized that 5.11 is very close to the product of the two most numerologically significant geometrical constants, π and the golden ratio, ϕ: πϕ = 5.0832 However, 138 turns out to be the best integer denominator to approximate πϕ: 700/138 = 5.0725 ≈ πϕ This is what I’ve dubbed the Bitcoin Golden Pi Bottom Ratio. In the spirit of numerology I must mention that 137 does have some things going for it: it’s a prime number and is very famously almost exactly the reciprocal of the fine structure constant (α is within 0.03% of 1/137). Now why 350 and 700 and not say 360 and 720? After all, 360 is obviously much more numerologically significant than 350, which is proven by the fact that 360 has its own wikipedia page, and 350 does not! Using 360/115 and 720/142, which are also approximations of π and πϕ respectively, this also calls cycle tops and bottoms. There are infinitely many such ratios that could work to approximate π and πϕ (although there are a finite number whose daily moving averages are defined). Further analysis is needed to find the range(s) of numerators (the numerator determines the denominator when maintaining the ratio) that correctly produce bottom and top signals.

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HarmonicCalculation █ OVERVIEW This library is complementary for XABCD Harmonic Pattern Custom Range Interactive PriceDiff() : Price Difference Parameters: : : price_1, price_2 Returns: : PriceDiff TimeDiff() : Time Difference Parameters: : : time_1, time_2 Returns: : TimeDiff ReturnIndexOf3Arrays() : Return Index Of 3 Arrays Parameters: : : id1, id2, id3, _int Returns: : ReturnIndexOf3Arrays AbsoluteRange() : Price Difference Parameters: : : price, y, point Returns: : AbsoluteRange PriceAverage() : To calculate average of 2 prices Parameters: : : price_1, price_2 Returns: : PriceAverage TimeAverage() : To calculate average of 2 times Parameters: : : time_1, time_2 Returns: : TimeAverage StringBool() : To show ratio in 3 decimals format Parameters: : : _value, _bool, _text Returns: : StringBool PricePercent() : To show Price in percent format Parameters: : : _price, PriceRef, str_dir Returns: : PricePercent BoolCurrency() : To show syminfo.currency Parameters: : : _bool Returns: : BoolCurrency RatioText() : To show RatioText in 3 decimals format Parameters: : : _value, _text Returns: : RatioText RangeText() : To display RangeText in Harmonic Range Format Parameters: : : _id1, _id2, _int, _text Returns: : RangeText PriceCurrency() : To show Currency in Price Format Parameters: : : _bool, _value Returns: : PriceCurrency

Library

by RozaniGhani-RG

Harmonic Table Combo Point B █ OVERVIEW This indicator was intended as educational purpose only and alternative way to show value in table as shown in Harmonic Pattern Possibility Table . █ CREDITS Credit to Scott M Carney, Harmonic Trading Volume 3: Reaction vs. Reversal. █ USAGE EXAMPLE

Indicator

by RozaniGhani-RG

Harmonic Pattern Possibility Table █ OVERVIEW This indicator was intended as educational purpose only based on Harmonic Pattern Table (Source Code) and Ratio For Harmonic Points to show Harmonic Pattern Possibility. █ INSPIRATION This indicator was build upon realizing there are some overlap for B = XA among Alternate Bat, Bat, Crab and Gartley. Hence, the values split up to showcase the possibility of non overlap ratio. █ USAGE Possible pattern, priority pattern and selected pattern may differs based value input. Therefore C = AB, D = BC, D = XA and Stop Loss will change based value input and also selected pattern. █ CREDITS Credit to Scott M Carney, Harmonic Trading Volume 3: Reaction vs. Reversal.

Indicator

by RozaniGhani-RG

Ratio For Harmonic Points █ OVERVIEW This indicator was intended as educational purpose only based on Harmonic Pattern Table (Source Code) to show indication of ratio for each Harmonic points from Point B until Stop Loss. █ CREDITS Credit to Scott M Carney, Harmonic Trading Volume 3: Reaction vs. Reversal. █ USAGE EXAMPLE

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by RozaniGhani-RG

Key Financials A simple table with up to 9 key financials on your chart. Simple, easy and configurable.

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Exchange Down / Up Volume Ratio I attended some workshop yesterday and I noticed that one of the presenters had an indicator titled 'price ratio' and had DVOL and UVOL as the inputs. From some deduction, I see that it was basically looking at the ratio of down by up volume on the NYSE exchange; he had a few levels marked as well (which I've also marked on this indicator). Seems like an interesting metric to consider, basically used to get a rough idea of the short term sentiment of the masses; allowing one to see when selling is outpacing buying in pure volume traded on an exchange. I've added a few other exchanges to allow for quick switch between the majors with this info readily available on PulseWire. Supported inputs are: AMEX, NYSE, NASDAQ, ALL (must be in caps) All is the sum of the NYSE, AMEX, and NASDAQ exchange volume. The standard trading view disclaimer applies to this post -- please consult your own investment advisor before making investment decisions. This post is for observation only and has no warranty etc. www.pulsewire.com Best, JM

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Financial Growth This indicator will acquire the financial data provided by Tradview. the data is compare between Quarter, Annual and TTM in term of percent of growth. YoY, QoQ and CAGR is also available by this script (The minimum is 4). in addition, ploting of data, label and table also available (you can check the mark to toggle on / off). Data : Revenue, Net Income, EBITDA, EPS, DVPS, Free Cash Flow and Forward PE . How to use it. just select the financial data, period and size of data to compare. you can check the box to toggle the plotting line, label and table. Enjoy.

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In-depth global business and economic analysis Comprehensive trading education and market insights