Relative Strength Scoring SystemRelative Strength Scoring System :
Important prerequisite :
This indicator can be loaded on any forex chart, i.e. a currency pair, but must not be loaded on any other asset due to certain market closures.
The chart timeframe must be less than or equal to the trading timeframe, which is the indicator's first parameter. A timeframe equal to that of the "Trading Timeframe" parameter is preferable.
Introduction :
This indicator measures the relative strength of a currency against all other currencies using spread formulas. It gives an indication of which currencies are bullish, neutral or bearish. The ultimate aim of this indicator is to find out which pair will generate a higher probability of gain than the others by pairing the most bullish pair with the most bearish pair.
Spread formulas :
To find the relative strength of a currency compared with others, we use the following spreads formulas :
USD = (FX:USDJPY/100+SAXO:USDEUR+FX:USDCHF+SAXO:USDGBP+FX:USDCAD+SAXO:USDAUD+FX_IDC:USDNZD)/7
JPY = (SAXO:JPYUSD/100+FX_IDC:JPYAUD/100+FX_IDC:JPYCAD/100+FX_IDC:JPYNZD/100+FX_IDC:JPYCHF/100+SAXO:JPYEUR/100+FX_IDC:JPYGBP/100)/7
CHF = (FX:CHFJPY/100+SAXO:CHFUSD+SAXO:CHFEUR+FX_IDC:CHFGBP+FX_IDC:CHFCAD+SAXO:CHFAUD+FX_IDC:CHFNZD)/7
EUR = (FX:EURJPY/100+FX:EURUSD+FX:EURCHF+FX:EURGBP+FX:EURCAD+FX:EURAUD+FX:EURNZD)/7
GBP = (FX:GBPJPY/100+FX:GBPUSD+FX:GBPCHF+SAXO:GBPEUR+FX:GBPCAD+FX:GBPAUD+FX:GBPNZD)/7
CAD = (FX:CADJPY/100+SAXO:CADUSD+FX:CADCHF+FX_IDC:CADGBP+SAXO:CADEUR+FX_IDC:CADAUD+FX_IDC:CADNZD)/7
AUD = (FX:AUDJPY/100+FX:AUDUSD+FX:AUDCHF+SAXO:AUDGBP+FX:AUDCAD+SAXO:AUDEUR+FX:AUDNZD)/7
NZD = (FX:NZDJPY/100+FX:NZDUSD+FX:NZDCHF+SAXO:NZDGBP+FX:NZDCAD+SAXO:NZDAUD+SAXO:NZDEUR)/7
CRYPTO = (BITSTAMP:BTCUSD+BITSTAMP:ETHUSD+BITSTAMP:LTCUSD+BITSTAMP:BCHUSD)/4
Timeframes :
As mentioned in the prerequisites, the chart timeframe must not be greater than the trading timeframe. The latter corresponds to the timeframe chosen by the trader to enter a position, and is the indicator's first parameter. Once this has been chosen, the algorithm selects the timeframes of the "Trend" and "Velocity" charts. Here's how it allocates them :
Trading TF => ("Velocity TF", "Trend TF")
"5min" => ("15min ", "60min")
"15min" => ("60min ", "4h")
"30min" => ("2h ", "8h")
"60min" => ("4h ", "12h")
"4h" => ("12h", "1D")
"6h" => ("1D", "3D")
"8h" => ("1D", "4D")
"12h" => ("2D", "1W")
"1D" => ("3D", "1W")
Trend Scoring System :
When the timeframe of the trend graph has been allocated, the algorithm will establish this graph's score using three criteria :
Trend chart pivot points: if the last two pivots, high and low, are increasing, the score is 1; if they are decreasing, the score is -1; else the score is 0.
SMA: if its slope is increasing with a candle strictly above the SMA value, the score is 1; if its slope is decreasing with a candle strictly below it, the score is -1; otherwise, it is 0.
MACD: if the MACD is positive, the score is 1, if it is negative, the score is -1; else it's 0.
We then sum the scores of these three criteria to find the trend score.
Velocity Scoring System :
In the same way, we analyze the score of the "velocity" graph with its corresponding timeframe using three criteria :
The EMA: if its slope is increasing with a candle strictly above the EMA value, the score is 1; if its slope is decreasing with a candle strictly below it, the score is -1; otherwise, it is 0.
The RSI: if the RSI's EMA has an increasing slope with an RSI strictly greater than the value of this EMA, the score is 1; and if the RSI's EMA has a decreasing slope with an RSI strictly less than this EMA, the score is -1; otherwise it is 0.
SAR parabolic: if the SAR is below the price, the score is 1; if it is above the price, the score is -1.
We then sum the scores of these three criteria to find the velocity score.
Relative Strength Scoring System :
Once the trend score and velocity score have been calculated, we determine the relative strength score of each currency using the following algorithm :
If trend score >=2 and velocity score >=2, the currency is bullish.
If trend score <=2 and velocity score <=2, currency is bearish
If (trendScore>=2 or velocityScore>=2) and (trendScore=1 or velocityScore=1) the currency is not yet bullish
If (trendScore<=2 or velocityScore<=2) and (trendScore=-1 or velocityScore=-1) the currency is not yet bearish.
Otherwise the currency is neutral
Parameters :
Trading Timeframe: the trading timeframe chosen by the trader for which he makes his position entry and exit decisions. Default is 1h
Pivot Legs: Parameter used for the chart "Trend" setting the pivot strength to the right and left of high/low. Default is 2
SMA Length: SMA length of the chart "Trend". Default is 20
MACD Fast Length: Length of the MACD fast SMA calculated on the chart "Trend". Default is 12
MACD Slow Length: Length of the MACD slow SMA calculated on the chart "Trend". Default is 26
MACD Signal Length: Length of the MACD signal SMA calculated on the chart "Trend". Default is 9
EMA Length: EMA length of the "Velocity" graph. Default is 13
RSI Length: RSI length of the "Velocity" graph. Default is 14
RSI EMA Length: Length of the RSI EMA. Default is 9
Parabolic SAR Start: Start of the SAR parabola in the "Velocity" graph. Default is 0.02
Parabolic SAR Increment: Increment of the SAR parabola in the "Velocity" graph. Default is 0.02
Parabolic SAR Max: Maximum of the SAR parabola in the "Velocity" graph. Default is 0.2
Conclusion :
This indicator has been designed to determine the relative strength of the major currencies against each other. The aim is to know which pair to trade at the right time in order to maximize the probability of a successful trade. For example, if the USD is bullish and the NZD bearish, we'll short the NZDUSD pair.
Enjoy this indicator and don't forget to take the trade ;)
Cerca negli script per "跨境通12月4日地天板"
[The_lurker] RSI-MFI-WPR Indicatoris an advanced trading indicator developed for the TradingView platform, which synergistically refers to the insights of three popular technical analysis tools: the Relative Strength Index (RSI), the Money Flow Index (MFI) and the Williams Indicator. Percentage range (WPR). This indicator is precisely designed to help traders identify potential buy and sell opportunities by accurately interpreting market momentum, volume, and price position relative to recent highs and lows.
The primary goal of the RSI-MFI-WPR Indicator is to provide a comprehensive tool that leverages the combined power of RSI, MFI and WPR to detect overbought and oversold conditions, indicating potential market reversal points. This multi-faceted approach aims to provide traders with a more robust framework for making informed decisions, and enhance their trading strategy through multi-indicator analysis.
Explanation of the indicator conditions
The essence of this indicator lies in its strategic conditions that indicate possible entry and exit points:
Oversold Condition (Condition): This is determined when the RSI and MFI are below 30, and the WPR drops below -91, indicating a strong oversold condition in the market. Such a scenario usually indicates a buying opportunity, assuming that the market may rebound from this oversold state.
Divergence Condition (Condition 1): Checks if the MFI exceeds 2.1 times the RSI. This unique case aims to highlight instances where there is a significant inflow of funds into an asset, which is not proportionately reflected in its RSI, which may indicate an upcoming price increase or highlight an unusual market situation for further From the analysis.
Overbought Warning (conditionExit): An exit signal is triggered when both the MFI and RSI exceed 85, and the WPR is above -15. This combination indicates an overbought condition in the market, indicating that the asset may be overvalued and that a price correction or reversal may be imminent, thus indicating a potential selling opportunity or a warning of initiating new positions.
Application and visualization
The RSI-MFI-WPR Indicator not only provides numerical insights but also displays these conditions on a TradingView chart. Through the use of color coding and plotting, it provides traders with an intuitive way to distinguish market conditions, enabling quick and effective decision-making. Incorporating alert conditions ensures that traders are immediately notified of important market events, in line with their strategic trading objectives.
Planning and alerts in “RSI-MFI-WPR Indicator”
Collected alert status
CombinedAlertCondition is a logical statement that combines all individual conditions (Condition, Condition1, Condition Exit, and The_lurkerMFI_oversold) into a single alert trigger. This condition becomes true and triggers an alert if any of the conditions specified for potential trading opportunities or warnings are met. It is designed to provide a comprehensive alert system that informs the trader of any important signal identified by the indicator, including entry and exit signals as well as oversold conditions.
Visual indicators
Background color for oversold condition: The script sets the background color to a specific shade of blue ( with 90% transparency) when the custom MFI indicates an oversold condition (The_lurkerMFI_oversold). This visual signal helps traders quickly recognize periods when the market may be undervalued and potentially poised for a rebound.
Drawing warning and exit signs:
Entry Signals: For Condition and Condition 1, which identify potential entry points, the indicator draws upward pointing triangles below the price bars. These triangles are colored in specific shades to differentiate signals from a fundamental oversold condition and a divergence condition, making it intuitive for traders to recognize the type of signal.
Exit Signals: For an exit condition, which indicates overbought conditions that may indicate an impending price correction, red downward-pointing triangles are drawn above the price bars. This serves as a clear visual warning to consider exiting positions or proceed with caution.
Configure the alarm
The script uses the conditional alert function to create an alert based on the AlertCondition combination. When this condition is met, any of the predefined signals are indicated
Conclusion
In short, the “RSI-MFI-WPR Indicator” stands out as a versatile and dynamic indicator that enriches a trader's toolkit by combining the analytical strengths of RSI, MFI and WPR. By setting clear conditions for entry and exit points from the market, it facilitates a proactive approach to trading, based on a detailed examination of market dynamics. This indicator demonstrates how mixing multiple technical tools can lead to more informed and accurate market analysis, with the aim of elevating the trading experience on Tradingview.
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هو مؤشر تداول متقدم تم تطويره لمنصة TradingView،
والذي يشير بشكل تآزري إلى رؤى ثلاث أدوات تحليل فني شائعة:
1- مؤشر القوة النسبية (RSI)،
2- مؤشر تدفق الأموال (MFI)،
3- مؤشر ويليامز. نطاق النسبة المئوية (WPR).
تم تصميم هذا المؤشر بدقة لمساعدة المتداولين على تحديد فرص الشراء والبيع المحتملة من خلال التفسير الدقيق لزخم السوق وحجمه وموقع السعر بالنسبة إلى الارتفاعات والانخفاضات الأخيرة.
الهدف الأساسي لمؤشر RSI-MFI-WPR هو توفير أداة شاملة تستفيد من القوة المشتركة لمؤشر RSI وMFI وWPR للكشف عن ظروف ذروة الشراء والمبالغة في البيع، مما يشير إلى نقاط انعكاس السوق المحتملة. ويهدف هذا النهج متعدد الأوجه إلى تزويد المتداولين بإطار أكثر قوة لاتخاذ قرارات مستنيرة، وتعزيز استراتيجية التداول الخاصة بهم من خلال تحليل متعدد المؤشرات.
شرح شروط المؤشر
يكمن جوهر هذا المؤشر في ظروفه الإستراتيجية التي تشير إلى نقاط الدخول والخروج المحتملة:
حالة ذروة البيع (الحالة): يتم تحديد ذلك عندما يكون مؤشر القوة النسبية RSI وMFI أقل من 30، وينخفض WPR إلى أقل من -92، مما يشير إلى حالة ذروة بيع قوية في السوق. يشير مثل هذا السيناريو عادةً إلى فرصة شراء، على افتراض أن السوق قد ينتعش من حالة ذروة البيع هذه.
شرط الاختلاف (الشرط 1): يتحقق مما إذا كانت السيولة تتجاوز 2.1 مرة مؤشر القوة النسبية. تهدف هذه الحالة الفريدة إلى تسليط الضوء على الحالات التي يوجد فيها تدفق كبير للأموال إلى أحد الأصول، وهو ما لا ينعكس بشكل متناسب في مؤشر القوة النسبية الخاص به، مما قد يشير إلى زيادة قادمة في الأسعار أو يسلط الضوء على وضع غير عادي في السوق لمزيد من التحليل.
تحذير ذروة الشراء (conditionExit): يتم إطلاق إشارة خروج عندما يتجاوز مؤشر MFI ومؤشر القوة النسبية 85، ويكون WPR أعلى من -15. يشير هذا المزيج إلى حالة ذروة الشراء في السوق، مما يشير إلى أن الأصل قد يكون مبالغًا في قيمته وأن تصحيح السعر أو انعكاسه قد يكون وشيكًا، مما يشير إلى فرصة بيع محتملة أو تحذير ببدء مراكز جديدة.
التطبيق والتصور
لا يوفر مؤشر RSI-MFI-WPR رؤى رقمية فحسب، بل يعرض أيضًا هذه الشروط على مخطط TradingView. من خلال استخدام الترميز اللوني والتخطيط، فإنه يوفر للمتداولين طريقة بديهية للتمييز بين ظروف السوق، مما يتيح اتخاذ قرارات سريعة وفعالة. يضمن دمج شروط التنبيه إخطار المتداولين على الفور بأحداث السوق المهمة، بما يتماشى مع أهدافهم التجارية الإستراتيجية.
التخطيط والتنبيهات في مؤشر RSI-MFI-WPR
حالة التنبيه التي تم جمعها ( CombinedAlertCondition ) عبارة منطقية تجمع كل الشروط الفردية
Condition، Condition1، Condition Exit، وThe_lurkerMFI_oversold في مشغل تنبيه واحد.
ليصبح هذا الشرط صحيحًا ويطلق تنبيهًا في حالة استيفاء أي من الشروط المحددة لفرص التداول المحتملة أو التحذيرات. وهو مصمم لتوفير نظام تنبيه شامل يُعلم المتداول بأي إشارة مهمة يحددها المؤشر، بما في ذلك إشارات الدخول والخروج بالإضافة إلى ظروف ذروة البيع.
المؤشرات البصرية
لون الخلفية لحالة ذروة البيع: يقوم البرنامج النصي بتعيين لون الخلفية إلى ظل معين من اللون الأزرق (بشفافية 90٪) عندما تشير مؤسسة التمويل الأصغر المخصصة إلى حالة ذروة البيع (The_lurkerMFI_oversold). تساعد هذه الإشارة المرئية المتداولين على التعرف بسرعة على الفترات التي قد تكون فيها السوق مقومة بأقل من قيمتها الحقيقية ومن المحتمل أن تكون مستعدة للانتعاش.
رسم علامات التحذير والخروج:
إشارات الدخول: بالنسبة للحالة والحالة 1، التي تحدد نقاط الدخول المحتملة، يرسم المؤشر مثلثات تشير إلى الأعلى أسفل أشرطة السعر. يتم تلوين هذه المثلثات بظلال محددة لتمييز الإشارات عن حالة ذروة البيع الأساسية وحالة التباعد، مما يجعل من السهل على المتداولين التعرف على نوع الإشارة.
إشارات الخروج: بالنسبة لحالة الخروج، التي تشير إلى ظروف ذروة الشراء التي قد تشير إلى تصحيح وشيك للسعر، يتم رسم مثلثات حمراء تشير إلى الأسفل فوق أشرطة السعر. يعد هذا بمثابة تحذير مرئي واضح للنظر في الخروج من المواقف أو المضي قدمًا بحذر.
تكوين المنبه
يستخدم البرنامج النصي وظيفة التنبيه الشرطي لإنشاء تنبيه بناءً على مجموعة AlertCondition. عند استيفاء هذا الشرط، تتم الإشارة إلى أي من الإشارات المحددة مسبقًا
خاتمة
باختصار، يبرز "مؤشر RSI-MFI-WPR" كمؤشر متعدد الاستخدامات وديناميكي يثري مجموعة أدوات المتداول من خلال الجمع بين نقاط القوة التحليلية لـ RSI وMFI وWPR. ومن خلال وضع شروط واضحة لنقاط الدخول والخروج من السوق، فإنه يسهل اتباع نهج استباقي للتداول، بناءً على فحص تفصيلي لديناميكيات السوق. يوضح هذا المؤشر كيف أن الجمع بين أدوات فنية متعددة يمكن أن يؤدي إلى تحليل سوق أكثر استنارة ودقة، بهدف رفع مستوى تجربة التداول على Tradingview.
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باختصار :
1- ظهور المثلث الاصفر يعني تواجد سيولة كبيره ( مفيد جدا لعملات البومب ) .
2- ظهور المثلث الأبيض يعني وصول الى مستويات تشبع البيع وهي فرصة ممتازه للشراء ( منطقة دخول ).
3- ظهور خط افقي يعني قرب عكس الاتجاه الى أعلى ( منطقة دخول ) .
4- ظهور مثلث أحمر يعني قرب عكس الاتجاه الى أسفل ( منطقة خروج ) .
5- التنبيه يعمل على جميع ما ذكر أعلاه في تنبيه واحد حتى تسهل المراقبة .
6- أفضل فواصل الاستخدام ( 4 ساعات ، 12 ساعه ، يوم ) .
EPS GridIntroduction:
This simple indicator offers insights into the relationship between stock prices and earnings, aiding in the assessment of valuation dynamics during different periods.
Understanding Price-to-Earnings (P/E) Ratio:
The commonly used Price to Earnings (P/E) ratio, calculated as Current Price divided by Earnings Per Share (EPS) over the trailing 12 months (TTM), serves as a fundamental metric. Here, we use this formula to estimate a stock's price. For instance, multiplying EPS by 10 provides an approximation of the stock price with a P/E ratio of 10.
The Grid Concept:
Utilizing this principle, a visual grid is constructed to illustrate how stock prices correlate with earnings. This grid facilitates the identification of both potential bargains and overvalued stocks.
How to Utilize:
This indicator is pre-configured with earnings multiples of 10, 15, 20, and 25. Simply add it to your chart and observe whether earnings demonstrate consistent growth. If prices lag behind earnings, a potential catch-up phase may ensue in the future.
Happy Investing!
Embark on your investment journey armed with this indicator, and may it guide you towards informed decisions and successful ventures.
[blackcat] L1 Fibonacci MA BandThe true charm of the Fibonacci moving average band lies not only in its predictive ability. Its essence is that it combines the beauty of mathematics with the practicality of market analysis, providing traders with a powerful tool to optimize trading strategies. It's not a simple number game, but a wisdom that sees into the deeper structure of the market.
Next, we will delve into the core technical indicators of the Fibonacci moving average band - WHALES, RESOLINE, STICKLINE functions, and TRENDLINE, as well as their clever applications. The WHALES indicator, with its 12-period exponential moving average, captures short-term market trends; the RESOLINE indicator, through the 120-period EMA, reveals mid-term market movements; the STICKLINE function, distinguishes the relationship between WHALES and RESOLINE with colors, providing clear visual aids; while TRENDLINE, combining price slope with EMA, depicts more detailed market changes for traders.
The integrated application of these indicators has built a multi-dimensional market analysis framework for traders. They help traders examine the market from different angles, judge the market status more accurately, and make wiser decisions in the ever-changing market environment. The Fibonacci moving average band indicator is like a lighthouse, emitting guiding light in the ocean of trader's navigation.
1. `xsl(src, len)` function: This function calculates a value called the linear regression slope. Len defines the length of the linear regression. Then, this function normalizes the difference between the current value of the linear regression and the previous value. The formula is `(lrc - lrprev) / timeframe.multiplier`.
2. `whales`, `resoline`, and `trendline` are Exponential Moving Averages (EMA) calculated in different ways. "whales" is the 13-period closing price EMA, "resoline" is the 144-period closing price EMA, and "trendline" is a more complicated EMA. It is the 50-period EMA calculated by the 21-period closing price slope multiplied by 23 plus the closing price.
3. The `plotcandle` function draws two sets of candlestick charts. One set shows in blue when "whales" is greater than "resoline", and the other set shows in green when "whales" is less than "resoline".
4. The `plot` function draws three lines: "whales", "resoline", and "trendline". "whales" is displayed in orange with a line thickness of 2. "resoline" is displayed in yellow with a line thickness of 1. "trendline" is displayed in red with a line thickness of 3.
5. The last line draws a conditional line. When the closing price is less than the "trendline", the green "trendline" is drawn, otherwise, it is not drawn. This is a logical judgment, the drawing operation is only executed when the condition is met.
ROCE with 3-Year EMAThis Pine Script indicator, "3-Year EMA of Return on Capital Employed (ROCE)," is designed for investors and traders who incorporate both fundamental and technical analysis in their market approach. ROCE is a crucial metric for evaluating the efficiency and profitability of a company's capital employment. Our script enhances this analysis by overlaying a 3-year Exponential Moving Average (EMA) on the ROCE, allowing users to compare current performance against a longer-term trend.
Key Features:
ROCE Calculation: The script calculates the Return on Capital Employed (ROCE) using EBIT (Earnings Before Interest and Taxes) for the Trailing Twelve Months (TTM) and Capital Employed (Total Assets minus Short Term Debt) for the Fiscal Year (FY). This calculation provides a snapshot of how effectively a company is using its capital to generate profits.
3-Year EMA Overlay: The script features a 3-year EMA of the ROCE, providing a smoothed, long-term trend line. This EMA helps in identifying broader trends in a company's operational efficiency and profitability, making it easier to spot deviations from the historical norm.
Customizable for Different Data Frequencies: Whether your data is quarterly, monthly, or weekly, the script is adaptable. The length of the EMA is adjustable to suit the data frequency, ensuring accurate representation over a 3-year period.
Visualization: The ROCE and its 3-year EMA are plotted with distinct colors for easy comparison and analysis. This visual representation aids in quickly assessing the company's current performance against its historical trend.
Customization: Users can adjust the EMA length to match the frequency of their data (e.g., 12 for quarterly, 36 for monthly, 156 for weekly data).
Usage Tips:
Best used on companies with stable and consistent reporting.
Combine with other fundamental and technical indicators fo
r comprehensive analysis.
Disclaimer: This script is provided for informational and educational purposes only and should not be construed as investment advice.
Ticker Screener by Volume Heatmap [SS]Fun little screener that creates a heatmap by daily volume trend.
The numbers expressed are the Sell to Buy ratio (Selling volume / buying volume). The % is the % change over the lookback period.
The default lookback period is 25 days, but you can adjust it as you see fit. The brightness of the green and red will change based on the extent of buying / selling.
Anything 1 or over means there is a lot of selling. A percent change in the negatives is good, it means that selling is decreasing and buying is increasing. Vice versa for a percent change in the positives.
It will accomodate up to 12 tickers, there are some pre-set but you can obviously customize it with your own tickers of interest.
And that's pretty much the indicator, pretty simple indicator but I hope you enjoy!
Safe trades everyone!
Hodl Calculation v1.0I have developed an indicator that calculates the value of our currency if we had periodically bought any stock or cryptocurrency on any exchange. I believe many individuals would be interested in computing such values.
You can customize the start and end times, choose the amount of currency to be used for each deal, and select from two frequency options.
The first option involves specific intervals, such as hourly, every three days, or bi-weekly.
The second option allows purchases at specific dates or times, like every 15th of the month at 12:00 PM, every Monday at 11:00 AM, or every day at 6:00 AM.
After selecting the frequency, the indicator performs calculations and presents statistical information in a table.
The summarized data includes frequency value, total selected period duration, number of deals, total quantity, total cost, current value, and profit/loss status.
RSI Levels On Chart [MisterMoTA]The values of the RSI Levels On Chart are calculated using Reverse Engineering RSI calculations by Giorgos Siligardos, Ph.D.
Instead of using only the 50 line of the RSI on chart I added options for users to define the Extreme Overbought and Oversold values, also simple Oversold and Overbought values, start of Bullish and Bearish zones and the 50 rsi value.
With the RSI Levels On Chart users are able to see on chart the price that a candles need to close for a certain value of the RSI. E.g. what price is needed for the RSI to be at oversold 30 or what would be the price when rsi will cross the 50 line.
The script has the 50 line color coded that will turn red when the line falling and will change to the user input color when it will be rising, helping users to see fast the clear trend of any asset on any timeframe from 1 second to 12 months.
I added few alerts for rsi overbought, oversold, extreme overbought and extreme oversold, crossing 50 level, crossing bullish or bearish zones values and also alerts for the 50 line falling or rising.
You can use RSI Levels On Chart as a simple indicator or you can add your favorite oscilator(s) to have a clear view of the trends of the markets, in this demo I added RSI + Divergences + Alerts with a moving average set to 50 RMA.
forex_factory_decodingLibrary "forex_factory_decoding"
Supporting Utility Library for the Live Economic Calendar by toodegrees Indicator; responsible for formatting and saving Forex Factory News events.
isLeapYear()
Finds if it's currently a leap year or not.
Returns: Returns True if the current year is a leap year.
daysMonth(M)
Provides the days in a given month of the year, adjusted during leap years.
Parameters:
M (int) : Month in numerical integer format (i.e. Jan=1).
Returns: Days in the provided month.
MMM(M)
Converts a month from a numerical integer format to a MMM format (i.e. 'Jan').
Parameters:
M (int) : Month in numerical integer format (i.e. Jan=1).
Returns: Month in MMM format (i.e. 'Jan').
array2string(S, FWD)
Converts a string array to a simple string, concatenating its elements.
Parameters:
S (string ) : String array, or string array slice, to turn into a simple string.
FWD (bool) : Boolean defaulted to True. If True the array will be concatenated from head to tail, reversed order if False.
Returns: Returns the simple string equivalent of the provided string array.
month2number(M)
Converts a month string in 'MMM' format to its integer equivalent.
Parameters:
M (string) : Month string, in 'MMM' format.
Returns: Returns the integer equivalent of the provided Month string in 'MMM' format.
shiftFWD_Days(D)
Shifts forward the current Date by N days.
Parameters:
D (int) : Number of days to forward-shift, default is 7.
Returns: Returns the forward-shifted date in 'MMM %D' format (i.e. Jan 8, Sep 12).
ff_dow(D)
Converts a numbered day of the week string in format to 'DDD' format (i.e. "1" = Sun).
Parameters:
D (string) : Numbered day of the week from 1 to 7, starting on Sunday.
Returns: Returns the day of the week in 'DDD' format (i.e. "Fri").
ff_currency(C)
Converts a numbered currency string in format to 'CCC' format (i.e. "1" = AUD).
Parameters:
C (string) : Numbered currency, where "1" = "AUD", "2" = "CAD", "3" = "CHF", "4" = "CNY", "5" = "EUR", "6" = "GBP", "7" = "JPY", "8" = "NZD", "9" = "USD".
Returns: Returns the currency in 'CCC' format (i.e. "USD").
ff_t(T)
Converts a time of the day in 'hhmm' format into an intger.
Parameters:
T (string) : Time of the day string in 'hhmm' format.
Returns: Returns the time of the day integer in 'hhmm' format, or -1 if all day.
ff_tod(T)
Converts a time of the day from an integer 'hhmm' format into 'hh:mm' format.
Parameters:
T (int)
Returns: Returns the N Forex Factory News array with time of the day string in 'hh:mm' format, or 'All Day'.
ff_impact(I)
Converts a number from 1 to 4 to a relative color based on Forex Factory Impact types.
Parameters:
I (string) : Impact number string from 1 to 4, where "1" = Holiday, "2" = Low Impact, "3" = Medium Impact, "4" = High Impact.
Returns: Returns the color associated to the impact number based on Forex Factory Impact types.
ff_tmst(D, T)
Parameters:
D (string)
T (string)
decode(ID)
Decodes TOODEGREES_FOREX_FACTORY_SLOT_n Symbols' Pine Seeds data into Forex Factory News Events.
Parameters:
ID (int) : Identifier of the Forex Factory News Event, in "DCHHMMI%T" format (D = day of the week from 1 to 7, C = currency from 1 to 9, HHMM = hour:minute in 24h, I = impact from 1 to 4, %T = event title ID) .
Returns: Returns the Forex Factory News Event.
method pullNews(N, n)
Decodes the Forex Factory News Event and adds it to the Forex Factory News array.
Namespace types: ffUtil.News
Parameters:
N (News type from toodegrees/forex_factory_utility/1) : Forex Factory News array.
n (float) : imported data from custom feed.
Returns: void
method readNews(N, S)
Pulls the individual Forex Factory News Event from the custom data feed format (joint News string), decodes them and adds them to the Forex Factory News array.
Namespace types: ffUtil.News
Parameters:
N (News type from toodegrees/forex_factory_utility/1) : Forex Factory News array.
S (string) : joint string of the imported data from custom feed.
Returns: void
marketClosed(N, S, S1, S2, S3, S4, S5, S6, S7, S8, S9)
If the current ticker's market is closed, Pine Seeds data will be pushed twice upon new day. This function saves the data pushed from the missing day.
Parameters:
N (News type from toodegrees/forex_factory_utility/1) : Forex Factory News array.
S (string ) : String array containing the Pine Seeds daya from the missing day.
S1 (string) : Data coming from TOODEGREES_FOREX_FACTORY_SLOT_1.
S2 (string) : Data coming from TOODEGREES_FOREX_FACTORY_SLOT_2.
S3 (string) : Data coming from TOODEGREES_FOREX_FACTORY_SLOT_3.
S4 (string) : Data coming from TOODEGREES_FOREX_FACTORY_SLOT_4.
S5 (string) : Data coming from TOODEGREES_FOREX_FACTORY_SLOT_5.
S6 (string) : Data coming from TOODEGREES_FOREX_FACTORY_SLOT_6.
S7 (string) : Data coming from TOODEGREES_FOREX_FACTORY_SLOT_7.
S8 (string) : Data coming from TOODEGREES_FOREX_FACTORY_SLOT_8.
S9 (string) : Data coming from TOODEGREES_FOREX_FACTORY_SLOT_9.
Returns: Updated string array containing the Pine Seeds daya from the missing day.
itradesize /\ Silver Bullet x Macro x KillzoneThis indicator shows the best way to annotate ICT Killzones, Silver Bullet and Macro times on the chart. With the help of a new pane, it will not distract your chart and will not cause any distractions to your eye, or brain but you can see when will they happen.
The indicator also draws everything beforehand when a proper new day starts.
You can customize them how you want to show up.
Collapsed or full view?
You can hide any of them and keep only the ones you would like to.
All the colors can be customized, texts & sizes or just use shortened texts and you are also able to hide those drawings which are older than the actual day.
You should minimize the pane where the script has been automatically drawn to therefore you will have the best experience and not show any distractions.
The script automatically shows the time-based boxes, based on the New York timezone.
Killzone Time windows ( for indices ):
London KZ 02:00 - 05:00
New York AM KZ 07:00 - 10:00
New York PM KZ 13:30 - 16:00
Silver Bullet times:
03:00 - 04:00
10:00 - 11:00
14:00 - 15:00
Macro times:
02:33 - 03:00
04:03 - 04:30
08:50 - 0910
09:50 - 10:10
10:50 - 11:10
11:50 - 12:50
MACD Crossover with +/- FilterThis is to directly target when MACD crosses the Signal line. The purpose of this script is to target a +/- change of 3 in the MACD value after the most recent cross. It uses the value of the MACD line and holds it until a value of 3.00 + or - a crossover or crossunder happens. That's the significance of the red and green circles that appear on the chart. This is not financial advice, but I wanted to recreate what a friend of mine was doing manually and automate it for him.
The first circle that appears after MACD/SIGNAL lines cross would represent a potential trade idea. The circles after the first one match the intention of the first dot as they meet the condition of more than a value of -3 or +3 as the previous dot.
Inputs:
Standard Inputs as normal MACD (Moving Average Converging Divergence) within TradingView
Fast Length: User can change it to any value they want
Slow Length: User can change it to any value they want
Standard 12, 26, 9 as normal MACD // 9 being signal smoothing
Oscillator and Signal Line moving average type is using EMA's
Timeframe is dependent on user chart.
Circles are used for signaling the change in values. Red indicates a short-term bearish trend. Green indicates a short-term bullish trend.
Tested on lower timeframes:
1m, 3m, 5m, 15m, 60m
Not used as much on higher timeframes. Used for trading futures. This is what I use it for. It can be used for other futures than just NQ or ES, but those 2 are the ones that I've tested. Code it shown below for users to tinker with.
Style of indication symbol can be changed via settings within the indicator in the "Style" tab, as well as location of the symbol(s). Additionally, color can be changed as well, if you prefer different colors.
Not financial advice. Just trade ideas.
SandTigerSandTiger is an auto-counting tool that counts naturally occurring events in a price series. This version has been reduced to 377 lines of code and should run faster than previous versions. Although not shown here, I highly recommend running my 'ELB' script with SandTiger. ELB is an 'event locator' and will mark all points that SandTiger numbers - giving you visual cues as to where these points are located. ELB also displays support/resistance levels.
SandTiger is designed to be used with MAGENTA - a counting system for Forex and other markets.
MAGENTA is a free and open framework for understanding and explaining price movement in financial markets. Any materials associated with MAGENTA are strictly for educational purposes only.
SandTiger tracks Component Values, Dyads, and Sum Table Values (STV's) over straight and curved trends, allowing a trader to discern where directional shifts are likely to occur.
SandTiger requires just 3 things to function accurately:
1) A correct starting point (this will typically be an obvious trend turn high or low in a series of price moves).
2) A 'push 1' count ('push 1' runs from the starting point to the event prior to the first terminal of the first FCT or Fractured Counter-Trend).
3) A 'high prime' value (the high prime count runs from the starting point through to the second terminal of the first FCT with no skips).
FRAMEWORK OVERVIEW: 'Component' values are filtered from the prime set (including the half prime and further reductions). Once we have the comp table we add the values to get a 'total'. With the 'total' we divide and multiply by two to get two additional values. 'Derivatives' are based on various calculations using these three values.
We're looking for 'total/2' to count into either itself, 'total', 'total*2', or a derivative. Comp counts are in Tx form and counted from trend start. If the trend doesn't turn on a comp value it will likely turn on a Dyad or STV value. If that also doesn't happen it's likely you have a 'curved' trend/sequence that will turn on one of the above after moving away from its high/low. This can also be traded using SandTiger's 'Seg Terminals' skip option.
Sum tables and Dyad values are drawn from the 'primes' and Dyads use the 'push1' value as well. In a structural trend, primes are gotten by counting pushpulls 1 & 2 in 'Ti' form. Comps, Sum table values, and Dyads are equivalent, sequences can turn on either value type belonging to the 1st or 2nd prime set. Both STV's and Dyads are counted in 'Tx' form (except where count-through signals occur).
Types and antitypes correlate and are associated with a 12-count 'cycle.' (Ti = 'Terminals Included'; Tx = 'Terminals eXcluded'; both refer to FCT terminals)
THE STRATEGY:
For Structures: Trade Comps, Dyads, and STV's from sets 1 (all) and 2 (Dyads and STV's only) in the 'main' segment then on the 'carry-over' by skipping segment terminals. If a PC or cycle caps the sequence, trade that as well.
For NSM's: Trade movements that flash a signal prior to the end of the initial cycle. The mark will be the push1 value. Twelve will be the 'high prime.' Skip interrupts and trade carry-over values.
The first version of SandTiger was conceived/planned/authored by Erek A.D. and coded by Erek A.D. and @SimpleCryptoLife beginning in August 2022 and finishing in Dec. 2022
The current version was written and developed July 3, 2023 and has been refined and upgraded by Erek A.D. through Jan. 2024...
Market Health MonitorThe Market Health Monitor is a comprehensive tool designed to assess and visualize the economic health of a market, providing traders with vital insights into both current and future market conditions. This script integrates a range of critical economic indicators, including unemployment rates, inflation, Federal Reserve funds rates, consumer confidence, and housing market indices, to form a robust understanding of the overall economic landscape.
Drawing on a variety of data sources, the Market Health Monitor employs moving averages over periods of 3, 12, 36, and 120 months, corresponding to quarterly, annual, three-year, and ten-year economic cycles. This selection of timeframes is specifically chosen to capture the nuances of economic movements across different phases, providing a balanced view that is sensitive to both immediate changes and long-term trends.
Key Features:
Economic Indicators Integration: The script synthesizes crucial economic data such as unemployment rates, inflation levels, and housing market trends, offering a multi-dimensional perspective on market health.
Adaptability to Market Conditions: The inclusion of both short-term and long-term moving averages allows the Market Health Monitor to adapt to varying market conditions, making it a versatile tool for different trading strategies.
Oscillator Thresholds for Recession and Growth: The script sets specific thresholds that, when crossed, indicate either potential economic downturns (recessions) or periods of growth (expansions), allowing traders to anticipate and react to changing market conditions proactively.
Color-Coded Visualization: The Market Health Monitor employs a color-coding system for ease of interpretation:
-- A red background signals unhealthy economic conditions, cautioning traders about potential risks.
-- A bright red background indicates a confirmed recession, as declared by the NBER, signaling a critical time for traders to reassess risk exposure.
-- A green background suggests a healthy market with expected economic expansion, pointing towards growth-oriented opportunities.
Comprehensive Market Analysis: By combining various economic indicators, the script offers a holistic view of the market, enabling traders to make well-informed decisions based on a thorough understanding of the economic environment.
Key Criteria and Parameters:
Economic Indicators:
Labor Market: The unemployment rate is a critical indicator of economic health.
High or rising unemployment indicates reduced consumer spending and economic stress.
Inflation: Key for understanding monetary policy and consumer purchasing power.
Persistent high inflation can lead to economic instability, while deflation can signal weak
demand.
Monetary Policy: Reflected by the Federal Reserve funds rate.
Changes in the rate can influence economic activity, borrowing costs, and investor
sentiment.
Consumer Confidence: A predictor of consumer spending and economic activity.
Reflects the public’s perception of the economy
Housing Market: The housing market often leads the economy into recession and recovery.
Weakness here can signal broader economic problems.
Market Data:
Stock Market Indices: Reflect overall investor sentiment and economic
expectations. No gains in a stock market could potentially indicate that economy is
slowing down.
Credit Conditions: Indicated by the tightness of bank lending, signaling risk
perception.
Commodity Insight:
Crude Oil Prices: A proxy for global economic activity.
Indicator Timeframe:
A default monthly timeframe is chosen to align with the release frequency of many economic indicators, offering a balanced view between timely data and avoiding too much noise from short-term fluctuations. Surely, it can be chosen by trader / analyst.
The Market Health Monitor is more than just a trading tool—it's a comprehensive economic guide. It's designed for traders who value an in-depth understanding of the economic climate. By offering insights into both current conditions and future trends, it encourages traders to navigate the markets with confidence, whether through turbulent times or in periods of growth. This tool doesn't just help you follow the market—it helps you understand it.
Time Matrix TableICT stresses time and liquidity levels in his teachings. This table helps to easily locate these key Time-based price levels. You can use these levels to determine your directional bias and to help generate your narrative for where the market is going.
This indicator creates a table that gives you the price for the following liquidity levels:
PDO - Previous Day Open
PDH - Previous Day High
PDL - Previous Day Low
PDC - Previous Day Close
PDEQ - Equilibrium of the previous day's range. (Calculated by math.abs(((pdh-pdl)/2)+pdl))
PWH - Previous Week High
PWL - Previous Week Low
PDH2 - Two Days Back High
PDL2 - Two Days Back Low
PDH3 - Three Days Back High
PDL3 - Three Days Back Low
And gives you the opening price for the following times:
Daily Open - 6:00pm open for current session
1:30 AM
3:00 AM
4:00 AM
Midnight Open
6:00 AM
7:30 AM
8:30 AM
NY Open
10:00 AM
12:00 PM
NY PM - 1:30pm
2:00 PM
The levels are sorted descending in price in the table, with the background colored based on their relation to price. The prices are also plotted on the chart based on the range you specify in relation to the current price. These lines are also colored based on their relation to price.
This indicator does not give you anything but the price at a specific time, you must determine your own bias and narrative based on the levels that are given.
SILVER Midnight Candle Color Strategy 1-Hour Delay and SL/TP Overview:
The "Midnight Candle Color Strategy with 1-Hour Delay and SL/TP" is a unique trading strategy designed for the Forex market. This strategy capitalizes on the color of the midnight candle based on New York time, making trade decisions one hour later, at 1:00 AM.
Key Features:
Time Zone Adjustment: Automatically adjusts to New York time (UTC-5 or UTC-4 during Daylight Saving Time).
Midnight Candle Analysis: Utilizes the color of the midnight candle to gauge market sentiment.
Trade Execution at 1 AM: Trades are executed one hour after midnight based on the previous day's candle color.
Strategic SL/TP: Incorporates predefined stop loss (SL) and take profit (TP) levels for each trade.
How It Works:
The script first determines whether the current bar represents 12:00 AM or 1:00 AM in New York time.
At midnight, it records the color of the candle (green for bullish, red for bearish).
At 1:00 AM, the strategy:
Enters a long position if the midnight candle was green, with specific TP and SL settings.
Enters a short position if the midnight candle was red, again with defined TP and SL.
Visualization:
Optional markers are plotted on the chart for easy visualization of the strategy's entry points at midnight and 1 AM.
Usage Tips:
Ideal for traders focusing on overnight price movements and early morning trends.
Best suited for SILVER trading due to the 24-hour trading cycle.
We recommend backtesting the strategy with historical data to evaluate performance.
Disclaimer:
This strategy is provided for educational purposes and should not be considered as financial advice. Users should conduct their own research and exercise caution while trading. Past performance is not indicative of future results.
I´m not a signal service, however I´m sharing my signals. For free. If you wish to buy something, contact some other signalist, preferably with 5-10-15-20K followers, selling signals on the premium channel, but in reality not trading them themselves. If you will realise after few blown account that something is wrong, ask yourself why is that. Trading is not pushing the buy-sell button and drinking tequila on the beach. If you want to learn, you know what to do.
Tennis Ball ActionInspired by Mark Minervini's sell rules in "Think and Trade Like a Champion".
Used to determine if a stock is behaving well after a breakout
Used to determine when it might by prudent to reduce a position or sell
Used as a visual aid, but based purely off price and volume action
Here's a breakdown of what each condition checks for:
Up Close Counter: Checks for a sequence of upward closes. If there are 12 or more up closes in the last 15 days, it flags up_days as true.
Upper 50% Range Condition: Determines if 9 or more out of the last 15 closes are in the upper 50% of the price range.
Bullish Engulfing: Identifies a bullish engulfing candlestick pattern where the close is higher than the previous high and the open is lower than the previous low.
Stock Up 3% or More: Flags when the stock is up 3% or more on the day.
Inside Day Condition: Checks if the current day's high is lower than the previous day's high and the current day's low is higher than the previous day's low.
Close Below 50-day SMA: Indicates a negative confirmation when the stock closes below the 50-day Simple Moving Average (SMA).
Weak Close Condition: Similar to the Upper 50% Range Condition, but looking for lower closes.
Close Below 20-day SMA: Another negative confirmation when the stock closes below the 20-day SMA.
Three Lower Lows: Identifies a pattern where the current close is lower than the previous two closes.
Down on Above Average Volume: Flags when the stock closes lower than the previous day's close and the volume is higher than the 20-day SMA of volume.
The script then tallies up the confirmations and violations based on these conditions and plots them on a histogram. Confirmations are represented in green, violations in red.
This indicator evaluates both bullish and bearish signals based on various technical conditions to assist traders in decision-making. The confirmations suggest potential bullish movements, while violations indicate potential bearish movements in the stock.
commonThe "Pineify/common" library presents a specialized toolkit crafted to empower traders and script developers with state-of-the-art time manipulation functions on the TradingView platform. It is instead a foundational utility aimed at enriching your script's ability to process and interpret time-based data with unparalleled precision.
Key Features
String Splitter:
The 'str_split_into_two' function is a universal string handler that separates any given input into two distinct strings based on a specified delimiter. This function is especially useful in parsing time strings or any scenario where a string needs to be divided into logical parts efficiently.
Example:
= str_split_into_two("a:b", ":")
// a = "a"
// b = "b"
Time Parser:
With 'time_to_hour_minute', users can effortlessly convert a time string into numerical hours and minutes. This function is pivotal for those who need to exact specific time series data or wish to schedule their trades down to the minute.
Example:
= time_to_hour_minute("02:30")
// time_hour = 2
// time_minute = 30
Unix Time Converter
The 'time_range_to_unix_time' function transcends traditional boundaries by converting a given time range into Unix timestamp format. This integration of date, time, and timezone, accounts for a comprehensive approach, allowing scripts to make timed decisions, perform historical analyses, and account for international markets across different time zones.
Example:
// Support 'hhmm-hhmm' and 'hh:mm-hh:mm'
= time_range_to_unix_time("09:30-12:00")
Summary:
Each function is meticulously designed to minimize complexity and maximize versatility. Whether you are a programmer seeking to streamline your code, or a trader requiring precise timing for your strategies, our library provides the logical framework that aligns with your needs.
The "Pineify/common" library is the bridge between high-level time concepts and actionable trading insights. It serves a multitude of purposes – from crafting elegant time-based triggers to dissecting complex string data. Embrace the power of precision with "Pineify/common" and elevate your TradingView scripting experience to new heights.
DiscordWebhooksLibrary🚀 Introduction
Welcome to the TradingView PineScript Library for Discord Webhook Integration! This library is designed for traders and developers who use TradingView for technical analysis and want to integrate their trading strategies with Discord notifications.
Key Features:
* Embed Creation: Easily create rich and informative embeds for your Discord messages, allowing you to send detailed trading alerts and summaries.
* Flexible Webhook Formatting: Customize your Discord messages with options for usernames, avatars, and text content, providing a personalized touch to your notifications.
* Simple Integration: Designed with simplicity in mind, this library can be integrated into your existing Pine Script trading strategies without extensive coding knowledge.
* Real-time Alerts: Utilize TradingView's alert system to send real-time trade signals and market updates to your Discord server.
Compatibility:
This library is compatible with TradingView's Pine Script version 5.
🍃 Code Snippets and Usage Examples
The following examples demonstrate how to use the Discord Webhook Integration Library in your TradingView Pine Scripts. These snippets cover various scenarios, showcasing the flexibility and utility of the library.
Example 1: Simple Alert with Markdown in Embed Description
embedDesc = "This is a **bold** and _italic_ alert message with a (replace_with_your_link)"
embedJson = createEmbedJSON("Simple Alert", embedDesc, 12345)
content = discordWebhookJSON("Alert from Captain Hook", "Captain Hook", na, embedJson)
Example 2: Multiple Embeds with Different Markdown Styles
embedDesc1 = "First alert with **bold** text"
embedDesc2 = "Second alert with _italic_ text"
embedDesc3 = "Third alert with ~~strikethrough~~"
embedJson1 = createEmbedJSON("Alert 1", embedDesc1, 654321)
embedJson2 = createEmbedJSON("Alert 2", embedDesc2, 123456)
embedJson3 = createEmbedJSON("Alert 3", embedDesc3, 111111)
embeds = embedJson1 + "," + embedJson2 + "," + embedJson3
content = discordWebhookJSON("Multiple Alerts", "Captain Hook", na, embeds)
Example 3: Complex Alert with Full Markdown Usage in Embed
embedDesc = "Alert: **Price Breakout!**\\n\\n" +
"*Symbol*: " + syminfo.ticker + "\\n" +
"*Price*: $" + str.tostring(close) + "\\n\\n" +
" (replace_with_your_link)"
embedJson = createEmbedJSON("Complex Alert", embedDesc, 16711680) // Red color
content = discordWebhookJSON("Complex Alert", "Captain Hook", na, embedJson)
Example 4: Advanced Technical Analysis Alert
rsiValue = ta.rsi(close, 14)
= ta.macd(close, 12, 26, 9)
taMessage = "RSI: " + str.tostring(rsiValue) + "\\nMACD: " + str.tostring(macdLine)
embedJson = createEmbedJSON("Technical Analysis Update", taMessage, 255) // Blue color
content = discordWebhookJSON("TA Alert", "Captain Hook", na, embedJson)
Example 5: Market Summary with Multiple Fields
counterTrend = "Your counter trend criterias"
counterTrendEmbed = createEmbedJSON(title = "Counter Trend", description = counterTrend, color = 15258703)
redFlags = "Your red flag criterias"
redFlagsEmbed = createEmbedJSON(title = "Red Flags", description = redFlags, color = 15229263)
embeds = counterTrendEmbed + "," + redFlagsEmbed
content = discordWebhookJSON(contentText = "Example of how a market analysis could look like", username = "Captain Hook", embeds = embeds)
🚨 Error Handling
Use Escape Characters Correctly: In message strings, remember to use \\n for new lines instead of \n. This ensures that the newline character is correctly interpreted in the JSON format.
It can be helpful to plot the json on the last candle
if barstate.islast
label.new(bar_index, high, text=debugMessage, color=color.red, textcolor=color.white, yloc=yloc.abovebar)
🔥 FAQs
Q1: Can I send alerts for multiple conditions?
A: Yes, you can configure multiple conditions in your script. Use separate if statements for each condition and call the discordWebhookJSON function with the relevant message for each alert.
Q2: Why is my alert not triggering?
A: Ensure your alert conditions are correct and that you've properly set up the webhook in both your script and TradingView's alert configuration. Also, check for any syntax errors in your script.
Q3: How many alerts can I send to Discord?
A: While TradingView doesn't limit the number of alerts, Discord has rate limits for webhooks. Be mindful of these limits to avoid your webhook being temporarily blocked.
Q4: Can I customize the appearance of my Discord messages?
A: Yes, the createEmbedJSON function allows you to customize your messages with titles, descriptions, colors, and more. Experiment with different parameters to achieve the desired appearance.
Q5: Is it possible to include real-time data in alerts?
A: Yes, your script can include real-time price data, indicator values, or any other real-time data available in Pine Script.
Q6: How can I contribute to the library or suggest improvements?
A: You can provide feedback, suggest improvements, or contribute to the library's development through the community channels or contact points provided in the "Support and Community" section.
formatTimeframe()
discordWebhookJSON(contentText, username, avatar_url, embeds)
Constructs a JSON string for a Discord webhook message. This string includes optional fields for content, username, avatar URL, and embeds.
Parameters:
contentText (string) : (string, optional): The main text content of the webhook message. Default is 'na'.
username (string) : (string, optional): Overrides the default username of the webhook. Default is 'na'.
avatar_url (string) : (string, optional): Overrides the default avatar URL of the webhook. Default is 'na'.
embeds (string) : (string, optional): A string containing one or more embed JSON objects. This should be formatted correctly as a JSON array. Default is 'na'.
createEmbedJSON(title, description, color, authorName, authorUrl, authorIconUrl, fields)
Creates a JSON string for a single embed object for a Discord webhook.
Parameters:
title (string) : (string, optional): The title of the embed. Default is 'na' (not applicable).
description (string) : (string, optional): The description text of the embed. Supports basic formatting. Default is 'na'.
color (int) : (int, optional): The color code of the embed, typically in decimal format. Default is 'na'.
authorName (string) : (string, optional): The name of the author to display in the embed. Default is 'na'.
authorUrl (string) : (string, optional): The URL linked to the author's name. Default is 'na'.
authorIconUrl (string) : (string, optional): The URL of the icon to display next to the author's name. Default is 'na'.
fields (string) : (string, optional): A string containing one or more field JSON objects. This should be formatted correctly as a JSON array. Default is 'na'. Note: Use the 'createEmbedFieldJSON' function to generate these JSON field strings before adding them to the array.
createEmbedFieldJSON(name, value, inline)
Creates a JSON string representing a single field object within an embed for a Discord webhook message.
Parameters:
name (string) : (string): The name of the field, acting as a title for the field content.
value (string) : (string): The value of the field, containing the actual text or information you want to display within the field.
inline (bool) : (bool, optional): A boolean flag indicating whether the field should be displayed inline with other fields. If set to true, the field will be displayed on the same line as the next field
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Temporary imbalances 2.0 This indicator attempts to calculate potential points of imbalance and equilibrium based on VWAPs and modified moving averages. The idea is to determine if there has been a change in volume and perform the calculation from that point It uses the standard deviation to determine the significant imbalance threshold. Candles with bullish imbalances are highlighted in green, while candles with bearish imbalances are highlighted in red.
"It also features a set of VWAPs and modified moving averages that you can enable or disable."
When you activate the 'Show Anchor VWAP' option, it will add five modified VWAPs.
Practical Significance:
The Anchored VWAP is a volume-weighted average price that serves as a dynamic reference to assess the average price during specific moments of market imbalance.
During a bullish imbalance, the anchor_vwap reflects the VWAP at that moment, emphasizing price behavior during that specific period.
Similarly, in a bearish imbalance, the anchor_vwap provides the associated VWAP for that condition, highlighting price movements during the imbalance phase.
How to Use:
The anchor_vwap can be employed to contextualize the volume-weighted average price during critical moments associated with significant changes in market imbalance.
By analyzing price behavior during and after periods of imbalance, the Anchored VWAP can help better understand market dynamics and identify potential areas of support or resistance.
Show VWAP Percent Imbalance"
Definition: Represents the Volume Weighted Average Price (VWAP) adjusted by the volume-weighted average of the price multiplied by volume, with a focus on conditions where the percentage volume variation surpasses a predefined threshold.
Calculation: Utilizes the simple moving average weighted of the product of the volume-weighted average price and volume only when the percentage volume variation exceeds a specific threshold.
Interpretation: Provides insight into the volume-weighted price trend during conditions where the percentage volume variation exceeds a predefined limit.
The "showDeltaVWAP" is a toggleable setting that you can turn on or off. When activated, it displays special lines on the chart. Let's understand what these lines represent:
Delta Anchor VWAP:
A green line (Delta Anchor VWAP) represents a measure of market volume imbalance.
Delta2 Anchor VWAP:
A red line (Delta2 Anchor VWAP) shows another perspective of volume imbalance.
VWAP Delta Volume:
A light blue line (VWAP Delta Volume) displays a volume-weighted average of price.
VWAP Delta Volume2:
An orange line (VWAP Delta Volume2) shows another view of the volume-weighted average of price.
Delta3 Anchor VWAP:
A light blue line (Delta3 Anchor VWAP) represents a combination of the previous measures.
Delta4 Anchor VWAP:
A purple line (Delta4 Anchor VWAP) is another combination, providing an overall view.
These lines are based on different conditions and calculations related to trading volume. When you activate "showDeltaVWAP," these lines appear on the chart, aiding in better understanding market behavior.
"Show Faster Volatility" is an option that you can enable or disable. When activated (set to true), it displays special lines on the chart called "Faster Volatility VWAP," "Faster Volatility VWAP2," and "Faster Volatility VWAP3." Let's understand what these lines represent:
Faster Volatility VWAP:
A purple line (Faster Volatility VWAP) is a Volume Weighted Average Price (VWAP) that is calculated more quickly based on short-term price reversal patterns.
Faster Volatility VWAP2:
A light gray line (Faster Volatility VWAP2) is another Volume Weighted Average Price (VWAP) that is calculated even more quickly based on even shorter-term price reversal patterns.
Faster Volatility VWAP3:
A purple line (Faster Volatility VWAP3) is another Volume Weighted Average Price (VWAP) calculated rapidly based on even shorter-term price reversal patterns.
These lines are designed to indicate moments of possible exhaustion of volatility in the market, suggesting that there may be a subsequent increase in volatility. When you activate "Show Faster Volatility," these lines are displayed on the chart.
"Show Average VWAPs Imbalance" displays weighted averages of different Volume Weighted Average Prices (VWAPs) in relation to specific market conditions. Here's an explanation of each component:
Standard VWAP:
The blue line represents the standard VWAP, a volume-weighted average of asset prices over a specific period.
VWAP with Added Imbalance (avg_vwap2):
The pink line is a weighted average that adds an imbalance value to the standard VWAP. This component highlights periods of market imbalance.
VWAP with Balance (avg_vwap3):
The lilac line is a weighted average that adds balance based on the imbalance between uptrend and downtrend, reflecting changes in volume. This provides insights into supply and demand dynamics.
Overall Average of VWAPs (avg_vwaptl):
The violet line is a weighted average that incorporates both standard and adjusted VWAPs, offering an overview of market behavior under different considered conditions.
Visual Customization (Show Average VWAPs Imbalance):
Users have the option to show or hide these average lines on the chart, allowing for a clear visualization of market trends.
"Show Min Variation VWAP" is associated with the calculation and display of a smoothed version of the Volume Weighted Average Price (VWAP), taking into account the minimum price variation over a specific period.
"How Imbalance Anchor VWAP Calculated as the smoothed relationship between liquidity difference and maximum VWAP equilibrium" is associated with the calculation and display of a smoothed version of the Imbalance Anchor VWAP. Here is a detailed explanation:
Calculations and Smoothing:
The variable "smoothed_difference" represents the exponential moving average (EMA) of the difference between two variables related to liquidity.
"smoothed_difference2" is the division of "smoothed_difference" by the maximum variation of the VWAP Equilibrium.
"smoothed_difference3" involves additional manipulation of "smoothed_difference" and "vwap_delta3."
"smoothed_difference4" incorporates the previous results, adjusted by the value of the VWAP.
Visual Customization:
The user has the option to enable or disable the display on the chart.
The line is colored in a shade of green.
It provides a smoothed representation of the Imbalance Anchor VWAP.
The line is colored in a shade of blue, and the calculation involves the summation of moving averages (20, 50, 200). Afterward, there is division by 3. Additionally, there is the summation of moving averages (766, 866, 966), divided by 3. The final step is to add these results together and divide by 2. media name is Imbalance Value2
Show VWAP Equilibrium (Max Variation) Calculated as the difference between two VWAPs derived from the highest and lowest price changes
Show Equilibrium VWAP Calculated as the sum of VWAP and (sma200 - sma20)
calculate the difference between the media of 200 to 20
Show Equilibrium VWAP Calculated as the sum of VWAP and (766+866+966)/3 - (sma200 - sma20)
Show Equilibrium VWAP Standard Deviation Calculated as the Exponential Moving Average (EMA) of the Standard Deviation of SMA (sma200 + sma20 + sma8)/3
Show Equilibrium VWAP Delta Calculated as the ratio of the smoothed VWAP Delta Result componentes
Show Standard Deviation Equilibrium VWAP Delta: Calculated as the Standard Deviation between the Average of VWAP Delta Result Components and Their Smoothed Versions
This average attempts to calculate the equilibrium."
vwap_equilibrium:
Definition: Represents the Volume Weighted Average Price (VWAP) adjusted by the volume-weighted average of the price (hl2) multiplied by volume, focusing on periods of volume equilibrium.
Calculation: Utilizes the simple moving average weighted (sma) of the product of the volume-weighted average price and volume only when there is no volume imbalance.
Interpretation: This indicator provides a view of the volume-weighted price trend during moments when the market is in equilibrium, meaning there is no noticeable imbalance in volume conditions. The calculation of VWAP is adjusted to reflect market characteristics during periods of stability.
vwap_percent_condition:
Definition: Represents the Volume Weighted Average Price (VWAP) adjusted by the volume-weighted average of the price multiplied by volume, with a focus on conditions where the percentage volume variation surpasses a predefined threshold.
Calculation: Utilizes the simple moving average weighted of the product of the volume-weighted average price and volume only when the percentage volume variation exceeds a specific threshold.
Interpretation: Provides insight into the volume-weighted price trend during conditions where the percentage volume variation exceeds a predefined limit.
The objective of these two VWAPs is to calculate possible equilibrium points between buyers and sellers.
The indicator works for all timeframes This indicator can be adjusted according to the preferences and characteristics of the specific asset or market. It provides clear visual information and can be used as a complementary tool for technical analysis in trading strategies.
Interesting
Interesting
lookback period 7 , 12, 20,70,200, 500,766,866,966
imbalance threshold 2.4, 3.3 ,4.2
The objective of this indicator is to identify and highlight various points of imbalance and equilibrium.
Candle size in pipsDescription
Enhance your trading strategy with precision using this script, designed to measure the range of a candle from wick to wick in pips. Whether you're implementing a specific pip requirement within a candle for your strategy, or simply seeking to better understand market dynamics, this tool provides valuable insights. The script is calculating the amount of pips between the high and the low then compares it to the minimal size you declared. If the amount of pips is more or equal to minimal size it will show the label.
Features
Alert Functionality: Opt to receive alerts by checking the checkbox (default: false).
Customizable Pip Threshold: Tailor the script to your needs by setting the minimum required pips to display on the screen (default: 12).
Different shape: circle, triangle up, triangle down, none
How to Use
Personalize your trading approach by integrating this script with your preferred strategy. For instance, in my strategy involving a 3M continuation, I leverage this tool to determine the pip count of the M15 candle before making entry decisions.
Note: Ensure you understand your strategy's requirements and adjust the script settings accordingly for optimal result s.
Feel free to reach out if you have any questions or require further assistance in maximizing the utility of this script.
Multi-Timeframe EMA Tracker by Ox_kaliThis script is an advanced trend analysis indicator crafted for traders who seek a detailed and customizable view of market trends across multiple timeframes. This tool utilizes exponential moving averages (EMAs) to offer insights into market direction and momentum.
Key Features:
Multi-Timeframe Analysis: MTEMA-Tracker covers a wide range of timeframes, including 1, 2, 3, 5, 10, 15, 30 minutes; 1, 2, 4, 6, 12 hours; 1 day; and 1 week. This allows traders to analyze market trends from various perspectives, from short-term fluctuations to longer-term movements.
EMA-Based Trend Determination: The indicator employs two EMAs (50 and 200 periods) for each timeframe to ascertain the market trend. A higher EMA50 compared to EMA200 indicates an uptrend, while the opposite scenario suggests a downtrend.
User-Defined Trend Colors: Traders can personalize the appearance of the trend lines with custom colors for upward and downward trends, enhancing visual clarity and quick interpretation.
Selectable Timeframe Display: MTEMA-Tracker by Ox_kali offers the flexibility to choose which timeframes to display, enabling traders to focus on the most relevant data for their trading strategy.
Average Trend Calculation: A unique feature of MTEMA-Tracker is its ability to compute the average trend across all selected timeframes, providing a holistic view of the market's general direction.
List of Parameters:
Color of the trend: Customizable color settings for both upward and downward trends.
Settings for the Lengths of the EMAs: Options to set the lengths of the short and long-term EMAs.
Display Options for Each Timeframe's EMA Trend: Ability to activate or deactivate the display of EMAs for each selected timeframe.
Indicators and Financial Name Label settings: To ensure maximum clarity and understanding of the displayed trends, users should not hesitate to use the function to display "indicators and financial name labels" in their settings. This feature will help in identifying the legends for each trend, making it easier to interpret the market direction for the selected timeframes.
Please note that the MTEMA-Tracker is not a guarantee of future market performance and should be used in conjunction with proper risk management. Always ensure that you have a thorough understanding of the indicator’s methodology and its limitations before making any investment decisions. Additionally, past performance is not indicative of future results.
Zemog Channels[Zemogtrading]Channels Strategy
User Description:
This Channels strategy is a powerful technical analysis tool that empowers traders with a comprehensive view of the market's support and resistance levels. Designed for both beginners and experienced traders, this strategy brings a systematic and adaptable approach to chart analysis.
Default Parameters:
Swing Length (SL): 45
Higher Timeframe: Daily (D)
Multiplier for Level 2: 3.5
Multiplier for Level 3: 12
How It Works:
Swing Analysis: The Swing Length (SL) parameter allows users to fine-tune the sensitivity of the strategy. A higher SL value provides a more smoothed-out analysis, ideal for a broader market perspective, while a lower value enhances responsiveness to short-term price movements.
Higher Timeframe Insights: The Channels fetches high and low prices from a user-specified higher timeframe (default: Daily). This ensures that the strategy is well-informed by significant price levels from a broader market context.
Dynamic ATR Calculation: The Average True Range (ATR) adapts dynamically to changing market conditions. This ensures that support and resistance levels adjust in real-time based on the prevailing volatility, providing traders with adaptive insights.
Smoothed Support and Resistance: Utilizing a Smoothed Moving Average (SMA), the strategy calculates support and resistance levels based on high and low prices from the higher timeframe. This smoothing effect enhances clarity in identifying key levels, facilitating more informed trading decisions.
Additional Levels: The Channels introduces Level 2 and Level 3 support and resistance zones. Users can customize multipliers for these levels, allowing for the identification of secondary zones for potential market reversals.
Visualization: The strategy vividly plots support and resistance levels on the chart. Green lines indicate support, red lines denote resistance, and yellow lines represent additional support at Level 3.
Using Channels is a versatile tool that equips traders with a deeper understanding of crucial market levels. By seamlessly integrating swing analysis, higher timeframe data, and adaptive calculations, this strategy offers a holistic and user-friendly approach to technical analysis.
Scale Ability [TrendX_]Scale Ability indicator can indicate a company’s potential for future growth and profitability.
A scalable company is one that can increase its revenue and market share without increasing its costs proportionally, which can benefit from economies of scale. Therefore, the high-scale ability can generate more value for its shareholders - which is important for investment decisions.
Scale Ability indicator consists of 3 financial components:
Cash Flow from Investing Activities to Total Assets Ratio (CFIA / TA)
Net Income to Total Debt Ratio (NI / TD)
Earnings Before Interest, Taxes, Depreciation and Amortization to Equity Ratio (EBITDA / E)
These measures can help investors assess how efficiently and effectively a company uses its resources to generate revenue and profit.
Note:
This can be customizable between Fiscal Quarter (FQ) and Fiscal Year (Fy)
This is suitable for companies in fast-growing industries.
FUNCTION
CFIA / TA Ratio
A company with a net income to total debt of 9% could indicate that it is investing in its assets to keep up with the market demand and the technological changes which can create competitive advantages.
NI/ TD Ratio
A company with a net income to total debt of 9% could show that it is profitable and has a strong financial position, which can easily cover its debt payments.
EBITDA / E Ratio
A company with a net income to total debt of 14% illustrates that it is generating a high return on its equity.
USAGE
Scale index division:
> 43 : Excellent
32 - 43 : Good
12 - 31 : Above Average
= 11 : Average
8 - 10 : Below Average
5 - 7 : Poor
< 4 : Very Poor
DISCLAIMER
This is only a rough estimate, and the actual ratio may differ significantly depending on the stage of the business cycle and the company’s strategy, and the comparison of each company and its peers.
This indicator is not financial advice, it can only help traders make better decisions. There are many factors and uncertainties that can affect the outcome of any endeavor, and no one can guarantee or predict with certainty what will occur.
Therefore, one should always exercise caution and judgment when making decisions based on past performance.
