is_strategyCorrection-Adaptive Trend Strategy (Open-Source)
Core Advantage: Designed specifically for the is_correction indicator, with full transparency and customization options.
Key Features:
Open-Source Code:
✅ Full access to the strategy logic – study how every trade signal is generated.
✅ Freedom to customize – modify entry/exit rules, risk parameters, or add new indicators.
✅ No black boxes – understand and trust every decision the strategy makes.
Built for is_correction:
Filters out false signals during market noise.
Works only in confirmed trends (is_correction = false).
Adaptable for Your Needs:
Change Take Profit/Stop Loss ratios directly in the code.
Add alerts, notifications, or integrate with other tools (e.g., Volume Profile).
For Developers/Traders:
Use the code as a template for your own strategies.
Test modifications risk-free on historical data.
How the Strategy Works:
Main Goal:
Automatically buys when the price starts rising and sells when it starts falling, but only during confirmed trends (ignoring temporary pullbacks).
What You See on the Chart:
📈 Up arrows ▼ (below the candle) = Buy signal.
📉 Down arrows ▲ (above the candle) = Sell signal.
Gray background = Market is in a correction (no trades).
Key Mechanics:
Buy Condition:
Price closes higher than the previous candle + is_correction confirms the main trend (not a pullback).
Example: Red candle → green candle → ▼ arrow → buy.
Sell Condition:
Price closes lower than the previous candle + is_correction confirms the trend (optional: turn off short-selling in settings).
Exit Rules:
Closes trades automatically at:
+0.5% profit (adjustable in settings).
-0.5% loss (adjustable).
Or if a reverse signal appears (e.g., sell signal after a buy).
User-Friendly Settings:
Sell – On (default: ON):
ON → Allows short-selling (selling when price falls).
OFF → Strategy only buys and closes positions.
Revers (default: OFF):
ON → Inverts signals (▼ = sell, ▲ = buy).
%Profit & %Loss:
Adjust these values (0-30%) to increase/decrease profit targets and risk.
Example Scenario:
Buy Signal:
Price rises for 3 days → green ▼ arrow → strategy buys.
Stop loss set 0.5% below entry price.
If price keeps rising → trade closes at +0.5% profit.
Correction Phase:
After a rally, price drops for 1 day → gray background → strategy ignores the drop (no action).
Stop Loss Trigger:
If price drops 0.5% from entry → trade closes automatically.
Key Features:
Correction Filter (is_correction):
Acts as a “noise filter” → avoids trades during temporary pullbacks.
Flexibility:
Disable short-selling, flip signals, or tweak profit/loss levels in seconds.
Transparency:
Open-source code → see exactly how every signal is generated (click “Source” in TradingView).
Tips for Beginners:
Test First:
Run the strategy on historical data (click the “Chart” icon in TradingView).
See how it performed in the past.
Customize It:
Increase %Profit to 2-3% for volatile assets like crypto.
Turn off Sell – On if short-selling confuses you.
Trust the Stop Loss:
Even if you think the price will rebound, the strategy will close at -0.5% to protect your capital.
Where to Find Settings:
Click the strategy name on the top-left of your chart → adjust sliders/toggles in the menu.
Русская Версия
Трендовая стратегия с открытым кодом
Главное преимущество: Полная прозрачность логики и адаптация под ваши нужды.
Особенности:
Открытый исходный код:
✅ Видите всю «кухню» стратегии – как формируются сигналы, когда открываются сделки.
✅ Меняйте правила – корректируйте тейк-профит, стоп-лосс или добавляйте новые условия.
✅ Никаких секретов – вы контролируете каждое правило.
Заточка под is_correction:
Игнорирует ложные сигналы в коррекциях.
Работает только в сильных трендах (is_correction = false).
Гибкая настройка:
Подстройте параметры под свой риск-менеджмент.
Добавьте свои индикаторы или условия для входа.
Для трейдеров и разработчиков:
Используйте код как основу для своих стратегий.
Тестируйте изменения на истории перед реальной торговлей.
Простыми словами:
Почему это удобно:
Открытый код = полный контроль. Вы можете:
Увидеть, как именно стратегия решает купить или продать.
Изменить правила закрытия сделок (например, поставить TP=2% вместо 1.5%).
Добавить новые условия (например, торговать только при высоком объёме).
Примеры кастомизации:
Новички: Меняйте только TP/SL в настройках (без кодинга).
Продвинутые: Добавьте RSI-фильтр, чтобы избегать перекупленности.
Разработчики: Встройте стратегию в свою торговую систему.
Как начать:
Скачайте код из TradingView.
Изучите логику в разделе strategy.entry/exit.
Меняйте параметры в блоке input.* (безопасно!).
Тестируйте изменения и оптимизируйте под свои цели.
Как работает стратегия:
Главная задача:
Автоматически покупает, когда цена начинает расти, и продаёт, когда падает. Но делает это «умно» — только когда рынок в основном тренде, а не во временном откате (коррекции).
Что видно на графике:
📈 Стрелки вверх ▼ (под свечой) — сигнал на покупку.
📉 Стрелки вниз ▲ (над свечой) — сигнал на продажу.
Серый фон — рынок в коррекции (не торгуем).
Как это работает:
Когда покупаем:
Если цена закрылась выше предыдущей и индикатор is_correction показывает «основной тренд» (не коррекция).
Пример: Была красная свеча → стала зелёная → появилась стрелка ▼ → покупаем.
Когда продаём:
Если цена закрылась ниже предыдущей и is_correction подтверждает тренд (опционально, можно отключить в настройках).
Когда закрываем сделку:
Автоматически при достижении:
+0.5% прибыли (можно изменить в настройках).
-0.5% убытка (можно изменить).
Или если появился противоположный сигнал (например, после покупки пришла стрелка продажи).
Настройки для чайников:
«Sell – On» (включено по умолчанию):
Если включено → стратегия будет продавать в шорт.
Если выключено → только покупки и закрытие позиций.
«Revers» (выключено по умолчанию):
Если включить → стратегия будет работать наоборот (стрелки ▼ = продажа, ▲ = покупка).
«%Profit» и «%Loss»:
Меняйте эти цифры (от 0 до 30), чтобы увеличить/уменьшить прибыль и риски.
Пример работы:
Сигнал на покупку:
Цена 3 дня растет → появляется зелёная стрелка ▼ → стратегия покупает.
Стоп-лосс ставится на 0.5% ниже цены входа.
Если цена продолжает расти → сделка закрывается при +0.5% прибыли.
Коррекция:
После роста цена падает на 1 день → фон становится серым → стратегия игнорирует это падение (не закрывает сделку).
Стоп-лосс:
Если цена упала на 0.5% от точки входа → сделка закрывается автоматически.
Важные особенности:
Фильтр коррекций (is_correction):
Это «защита от шума» — стратегия не реагирует на мелкие откаты, работая только в сильных трендах.
Гибкие настройки:
Можно запретить шорты, перевернуть сигналы или изменить уровни прибыли/убытка за 2 клика.
Прозрачность:
Весь код открыт → вы можете увидеть, как формируется каждый сигнал (меню «Исходник» в TradingView).
Советы для новичков:
Начните с теста:
Запустите стратегию на исторических данных (кнопка «Свеча» в окне TradingView).
Посмотрите, как она работала в прошлом.
Настройте под себя:
Увеличьте %Profit до 2-3%, если торгуете валюты.
Отключите «Sell – On», если не понимаете шорты.
Доверяйте стоп-лоссу:
Даже если кажется, что цена развернётся — стратегия закроет сделку при -0.5%, защитив ваш депозит.
Где найти настройки:
Кликните на название стратегии в верхнем левом углу графика → откроется меню с ползунками и переключателями.
Важно: Стратегия предоставляет «рыбу» – чтобы она стала «уловистой», адаптируйте её под свой стиль торговли!
Correction
Comprehensive Trading Toolkit [BigBeluga]Trading Toolkit is a comprehensive indicator inspired by the trading strategies of the renowned crypto influencer Michaël van de Poppe . This tool combines RSI divergences, correction zones, and advanced support/resistance levels to provide traders with a robust framework for analyzing market movements.
🔵 Key Features:
RSI Divergences on Chart:
Automatically identifies and plots RSI divergences (bullish and bearish) directly on the main price chart.
Green lines indicate bullish divergences, suggesting potential upward reversals.
Red lines indicate bearish divergences, signaling possible downward movements.
Correction Boxes:
Traders typically define a correction as a drop in value of 10% or more. This drop can happen over a few hours or a few days. Also, it can last for less than 24 hours or many months.
This indicator visualizes corrections with blue shaded boxes, triggered by a percentage decline defined in the settings.
The boxes highlight sharp price drops, helping traders identify significant market movements quickly.
Advanced Support and Resistance Levels:
Dynamically detects key support and resistance levels based on price pivots.
When the price is above a level, it plots a green shaded area from the cross point, marking support.
When the price drops below a level, it plots a red shaded area, highlighting resistance.
Dashed lines indicate weaker levels, while solid lines represent stronger, more reliable levels.
🔵 Usage:
Identify Divergences: Use plotted RSI divergences to detect potential market reversals and align them with price action.
Analyze Correction Zones: Utilize correction boxes to evaluate significant price declines and find potential buying opportunities during these corrections.
Leverage Support and Resistance Levels: Confirm breakouts, reversals, or consolidation zones with the color-coded areas.
Enhance Risk Management: Combine divergences and correction zones to set informed stop-loss or take-profit levels.
Trading Toolkit empowers traders with actionable insights into market trends, corrections, and support/resistance dynamics, making it an invaluable tool for crypto and forex markets.
ICSM (Impulse-Correction & SCOB Mapper) [WinWorld]DESCRIPTION
ICSM (Impulse-Correction SCOB Mapper) is the indicator that analyzes the price movement and identifies valid impulses, corrections and SCOBs. It is a powerful tool that can be used with any type of technical analysis because it's flexible, informative, easy to use and it does substantially improve trader's awareness of the most liquid zones of interest.
SETTINGS
General | Visuals
Colour theme — defines the colour theme of the ICSM.
SCOB | Visuals
Show SCOB — enables/disables SCOB;
Mark SCOB with — represents a list of style options for SCOB representation;
SCOB colour — defines the colour of the SCOB;
ICM | Visuals
Show ICM lines — enables/disables ICM (Impulse-Correction Mapper) lines;
Show IC trend — enables/disables visualization of impulse-correction trend via coloured divider at the bottom of the chart;
Line colour — defines the colour of the ICM lines;
Line style — defines the style of the ICM lines;
Alerts
ICM — enables/disables alert for breaking ICM lines;
SCOB — enables/disables alert for SCOB creation;
ICM+SCOB — enables/disables alert for SCOB occurance at the end of the single impulse/correction, which grabs ICM line's liquidity.
ICM+SCOB (same candle) — enables/disables alert for SCOB occurance at the candle, which grabs ICM line's liquidity.
IMPORTANT CONCEPTS
In order to fully understand what ICSM can do, let's do a quick overview of the most important concepts that this indicator is built on.
By ICM we mean the liquidity grabbing of Impulse-Correction Mapper's lines (ICM lines; represented as dashed horizontal lines on the chart ). Saying shortly, liquidity grabs of ICM lines posses great opportunities for finding great entries.
SCOB (Single Candle Order Block) builds up by 3 simple rules:
Previous candle's liquidity is grabbed;
Current candle closes inside previous candle;
Imbalance occurs on the next candle.
SCOB is a quite useful zone of interest, from which the price usually reverses. You can also use SCOB as POI* on HTF** or as entry zone on LTF***.
* POI — Point Of Interest
* HTF — Higher TimeFrame
* LTF — Lower TimeFrame
"ICM+SCOB" is a short name that we use for event, at which price first grabs the liquidity from ICM line and then creates a SCOB at the same impulse/correction movement ( on the same ICM line, that does the liquidity grab ). Usually the SCOB that occurs after this event represents a highly liquid zone of interest , which should be considered when choosing entry level.
"ICM+SCOB (same candle)" is basically the same as "ICM+SCOB" event but with one major difference — the candle, which grabs the liquidity of ICM line, is also the candle at which the SCOB occurs, making such SCOB an even better zone of interest than a regular SCOB from ICM+SCOB event.
BIGGEST ADVANTAGES
ICSM precisely identifies impulses and corrections. Huge load of indicators on the TradingView does only show the simplest zones of interests, while ICSM uses our team's signature algorithms to precisely identify true impulses and corrections in the market, allowing traders to see both local and global price direction better and at the same time providing traders with the most liquid zones of interest;
ICSM shows points of interest and liquidity. The indicator identifies the nearest points of interest and zones, where the liquidity is concentrated, allowing you to find great entry and exit points for your trades;
ICSM has SCOB (Single Candle Order Block) detection function. ICM is packed with the extremely useful in SMC trading SCOB detetction feature, which allows you find even more solid points of interest;
ICSM has super minimalistic design, which contains only the things you really need. Your chart will not be overloaded with unnecessary information. You will only see clear points of interest, liquidity and price movement.
WHY SHOULD YOU USE IT?
As was said above, ICSM allows you to see the most profitable points and zones of interest, which professional SMC traders consider as one of the best in the market, because they are historically the areas from which the price bounces the most, allowing the smartest traders to get quick an clean profits with low drawdown.
In the ICSM indicator these zones are SCOB and ICM line liquidity grabs. By using these zones of interest to find entry points, you increase the chance to open a trade at the most lucrative price and reduce trading risks.
Considering what was said above, this indicator can help traders reduce drawdown risks and increase potential profits simply by showing the most liquid zones of interest, which are perfect for opening a trading position.
Here are some of the examples of how you leverage ICSM in your trading process:
Example of the short trade:
Price shows overall short trend. Trend liquidity is being formed.
Price grabs liduiqity from three ICM lines in a row and then creates a long SCOB at the end of 3rd liquidity grab.
SCOB, which occured at the end of ICM line, represents much stronger zone of interest than a regular SCOB. In this case it represents a zone, which we will use to find an entry.
The entry for the trade will be SCOB candle's low, stop-loss target should be put above SCOB candle's high. Our take-profit target is trend liquidity. See the screenshot above for better understanding.
▼ Now let's see the long trade example. ▼
Example of the long trade:
Price creates trend liquidity by showing equal highs ( EQH ).
Price grabs liduiqity from four ICM lines in a row and then creates a long SCOB at the end of 4th liquidity grab.
Again: SCOB, which occured at the end of ICM line, represents much stronger zone of interest than a regular SCOB. In this case it represents a zone, which we will use to find an entry.
The entry for the trade will be SCOB candle's high, stop-loss target should be put below SCOB candle's low. Our take-profit target is EQH. See the screenshot above for better understanding.
ALERTS
ICSM provides simple and easy alert customization, allwoing to choose only the alerts you want to receive. You can choose from the following alert options:
ICM — impulse or correction liquidity grab;
SCOB — SCOB is formed, wether or not the liquidity is grabbed from the impulse or correction;
SCOB+ICM — SCOB is formed after grabbing the liquidity of the ICM line;
SCOB+ICM (same candle) — SCOB is formed in the liquidity area of the impulse or correction.
HOW CAN I GET THE MOST OUT OF IT?
ICSM displays only the first liquidity of an impulse or correction, which matches the IDM (Inducement) in the Advanced SMC strategy . This strategy is completely covered in the World Class SMC indicator and is available for free for PDF in three parts.
You can also ICSM with any other strategy, because ICSM is a very flexible indicator and will help anyone improve their trading by making one aware of the high-quality liquidity on the chart.
Let's see how you can leverage ICSM with our World Class SMC indicator and other different strategies:
Example of the long & short trades with World Class SMC.
Long (1-3):
Price reached previous OB-EXT . This is the first sign for the potential price reversal;
ICM+SCOB happened after price reached OB-EXT;
After that, you can need to look for an entry on LTF. If you don't know how to do it, you can refer to our education materials.
Short (4-6):
Price reached OB-IDM , which is also a great sign for a potential upcoming price reversal;
ICM+SCOB occured after liquidity grab of the previous SCOB. This fact does strengthen the probability of the potential upcoming price reversal;
Now you need to switch to LTF and find an entry there.
Example of the short trade with simple Fibonacci retracement strategy.
Price grabs the liquidity of the ICM lines three times in a row, forming SCOB after the 3rd grab;
Price performs correctional move down without testing the SCOB, leaving no entry opportunity by our initial strategy, so we can add another strategy — Fibonacci retracement from 0.618 level — to our analysis in order to find an entry ;
We use Fibonacci grid with our initial strategy to find the best POI, that will align with the trend direction and will eventually become our entry point.
SUMMARY
ICSM is a unique indicator that indentifies zones and points of interests with high-quiality liquidity and can be both a stand-alone tool and can be integrated into any other strategy to increase the efficiency of analysis, accuracy of trading entries and reduce trading risks.
If you want to learn the SMC strategies that our team uses in our products, you can refer to our educational materials.
We hope that you will find a great use of ICSM and it will help you improve your perfomance as a trader. Best of luck, traders!
— with love, WinWorld Team
Comprehensive Correlation Meter with Multiple MarketsThe Comprehensive Correlation Meter is designed to provide traders and investors with insights into the relationships between multiple financial instruments. This script expands upon an existing idea on TradingView about correlation by introducing the ability to analyze the correlation between three markets, offering deeper insights into market relationships. It helps users understand how these markets move in relation to each other, aiding in risk management and portfolio diversification.
Key Features:
Multiple Market Analysis: This script allows you to analyze the correlation between your primary market and two other selected markets.
Customizable Inputs: Users can select any symbols for the reference and third markets, and these selections must be confirmed before use.
Correlation Coefficients: Calculates and plots the correlation coefficients for:
Current Market vs. Reference Market
Third Market vs. Reference Market
Current Market vs. Third Market
An average correlation of all three markets combined.
Visual Aids: Plots reference lines at +1, 0, and -1 to indicate maximum positive correlation, no correlation, and maximum negative correlation.
How It Works:
Input Symbols: Select the symbols for the reference and third markets. The current market is based on the chart you are viewing.
Data Collection: The script collects the closing prices of the selected markets and calculates the percentage changes.
Correlation Calculation: Using the collected data, the script computes the covariance and standard deviations to determine the correlation coefficients.
Visualization: The correlation coefficients and covariances are plotted for visual analysis.
How to Use:
Select Symbols:
Use the input fields to specify the reference and third market symbols. Confirm your selections to proceed.
Customize Display:
Choose whether to display the covariance, reference market, current market, and third market.
Select which correlation coefficients to display.
Interpret Results:
A correlation coefficient close to +1 indicates a strong positive correlation.
A coefficient close to -1 indicates a strong negative correlation.
A coefficient around 0 indicates little to no correlation.
Use these insights to manage risk and diversify your portfolio effectively.
Example Use Case:
Suppose you are trading the S&P 500 and want to understand its correlation with the NASDAQ 100 and a particular stock, such as Apple. By setting the S&P 500 as the reference market, the NASDAQ 100 as the third market, and observing the current market (Apple), you can see how these instruments move in relation to each other. This can help you decide on hedging strategies or identify opportunities for diversification. However this is Not a Financial advise
OverbalanceOverbalance script tracks trend moves and biggest corrections in those moves.
Based on last trend extreme value (low or high) it can draw line symbolizing correction equal to
the biggest correction in that trend. It can track up to 20 independent (both up and down) trends on one chart.
Overbalance method works on an assumption that trend continues until we have correction bigger than the biggest existing correction in that trend. Comparing the historically biggest correction with the current one can give a warning signal.
There are markets and instruments for which the size of corrections is repeated, and tracking corrections in the trend can be used to predict the trend change moment. - Just remember that if something happened in the past it is not guaranteed that it will happen again.
This script can be used by ANY user. You DO NOT NEED to have PRO or PREMIUM account to use it.
Script settings:
Trend min change - Filter out price moves smaller than % of current price.
OB up - Showing overbalance in up trends
OB down - Showing overbalance in down trends
Historical with precision - Showing corrections moves that were equal to biggest previous correction in that trend with a given (%) precision.
OB prediction up - Showing overbalance threshold in current up trends
OB prediction down - Showing overbalance threshold in current down trends
OB Exceeded - Showing broken overbalance thresholds
Arrows - Showing overbalance thresholds with an arrows
(with labels) - Showing labels over overbalance threshold arrows
Price line - It draws a line at the price level, under the arrows.
Troubleshooting:
In case of any problems, send error details to the author of the script.
Pullback WarningThe Pullback Warning indicator is a simple indicator that highlights the potential for a market pullback, by measuring distances between certain key moving averages.
John Pocorobba recently shared in his general market updates, research showing that when the distance between the closing price and the 9 day exponential moving average is greater than the distance between the 9 day exponential moving average and the 20 day exponential moving average a pullback is likely.
While this condition occurs frequently, I added sensitivity options to try and filter out the noise. The sensitivity is based on the closing price’s extension from the 50 day simple moving average. Depending on your level of sensitivity, only signals that occur when price is extended either 5, 6, or 7 percent away from the 50 sma will be plotted.
Choose how to see the signal:
Highlight Background
Plot a symbol at desired location
Note this signal works best on indexes, not individual securities.
Correlation prix [SP500, TESLA, BTCBefore you see this post I want to thank all the TradingView team. Every day that passes I learn better and better to use Pine script and I owe this to all those who publish and to the philosophy of TradingView. Thanks from Amos
This trading indicator compares the prices of the S&P 500 Index (SP500), Tesla (TSLA), and Bitcoin (BTC) to find correlations between them. To make the prices of SP500 and Tesla comparable to the price of Bitcoin, the indicator multiplies the closing price of Tesla by 114 and the closing price of the S&P 500 Index by 5.6.
In this way we can superimpose the prices on the BTC chart and see what happens.
Average BTC price/ tesla price = 114, so if we multiply the tesla price by 114 times we can superimpose it on the BTC price
At average BTC/SPX price = 5.6, also in this case we multiply the price of SPX by 5.6 to overlay the graph and see any correlations.
The indicator then calculates the average price between SP500 and Tesla, using the formula (SP500 + Tesla) / 2. This calculation creates a new line on the chart that represents the average price between these two assets.
The BTC_SP_TE variable is then calculated as the average of the closing price of Bitcoin and the previously calculated average price of SP500 and Tesla, using the formula (Btc + SP_TE) / 2. This calculation creates another line on the chart that represents the average price between Bitcoin and the previously calculated average between SP500 and Tesla.
The idea behind calculating these averages is to find correlations and patterns between the prices of these assets, which can help identify potential trading opportunities. By comparing the average prices of different assets, the trader can look for trends and patterns that might not be apparent when looking at each asset individually.
The indicator plots these prices on a chart and fills the area between them with either green or fuchsia, depending on which one is higher. The strategy suggests buying Bitcoin when the average price of SP500 and Tesla is higher than the current price of Bitcoin, and selling when it is lower.
To add visual cues to the trading strategy, the indicator uses the plotchar function to display a small triangle below the chart when it detects a potential buying opportunity. This is done with the following parameters:
Value: BTC_SP_TE < Btc and Btc > Btc1 and Btc1 > Btc , which is a logical expression that checks whether the average price of SP500 and Tesla is less than the current price of Bitcoin (BTC_SP_TE < Btc), and whether the current price of Bitcoin is higher than the price 10 bars ago (Btc > Btc1 ) and higher than the price on the previous bar (Btc1 > Btc ).
Text: "Moyen BTC_SP_Te", which is the text to display inside the marker.
Symbol: "▲", which is the symbol to use for the marker. In this case, it is a small triangle pointing upwards.
Location: location.belowbar, which specifies that the marker should be placed below the bar.
I hope this is an example of how to create an indicator on TradingView, remember that correlations do not always last, it is possible that when you see the graph this correspondence no longer exists, do your studies and get inspired.
Market Crashes/Chart Timeframes HighlightThis extremely helpful indicator allows you to highlight 7 custom date-based timeframes on your charts.
The default dates selected are what I consider to be the most significant 7 most recent market declines, including and since the 87 flash crash.
Note: The default dates are approximate but good enough to highlight the key timeframes of these pullbacks/crashes/corrections.
It's simple to use and does exactly what it should.
I created this indicator to make it easier when looking at the overall story of a chart. I found it helpful to highlight these areas to see how a market or equity has responded during these significant market pullbacks.
The highlight alone I’ve found helpful, and it becomes more powerful if you combine it with your own trusted trade system.
Also, to get the most out of using the default dates it’s important to understand the narrative behind each pullback/crash. Here’s the list of what I consider significant pullbacks:
Black Monday - Oct 87
1990s Recession - Jul 90 to Mar 91
Dot Com Bubble - 2000 to 2002 or so
Real Estate 2008 Crisis - I choose 2007-2009 to cover full insider knowledge and aftermath
2016 - 2018 - This isn't seen as a pullback, but I have it as significant because in many markets and equities, this was an almost equal percentage pullback as 2008. See Notes below
2020 Crash - Covid-19 and related shenanigans pullback
April 2021 to August 2022 - I believe we are in a current SHORT cycle so I've highlighted April 2021 as the start of what might be the start of a major decline testing Dot Com or lower levels.
A few notes on the above.
You'll find on most of the pullbacks listed above most equities and related markets behave similarly or have similar patterns.
The 2016-18 pullback is the most difficult to track. For instance, GE in this timeframe had a -80% decline, whereas BA depending on how you want to measure it had a 50-110% gain.
Waves CorrectionsWave theory tool for tracking waves relations and their corrections. It filters out a sets of formations and count how often correction from them are reaching characteristic correction levels marked on the chart as CL1, CL2, CL3.
It supports 2 rulesets/wave variants:
Low - Based on more sensitive trend detection.
Medium - Based on less sensitive trend detection.
Script settings:
| SCANNER |
Trend type - Trend used by scanner to detect sets of waves.
L - Low
M - Medium
<= W1/W2 * 100% <= - Tresholds describing proportions between 1 and 2 wave in the set.
<= W3/W1 * 100% <= - Tresholds describing proportions between 3 and 1 wave in the set.
<= W3/W2 * 100% <= - Tresholds describing proportions between 3 and 2 wave in the set.
Show potencial areas - Showing underway sets
Show Arrows - Showing arrows with possible correction on underway set.
Correction from trend UP - Background and border colors for found sets in up trends
Correction from trend Down - Bakcground and border colors for found sets in down trends.
History - Showing sets in historic data.
Stats - Type of statistic table shown on the screen:
H - Hide
% - Statistics with normal font
%s - Statistics with small font
Wn n= - Picking how many waves are taken into account when calculating statistics .
| TREND VISUALIZATION |
Type - Trend visualization types:
H - Hidden
L - Low
M - Medium
B - Both
Alfred - AI assistant that informs about wave confirmation or trend changes (With "Both" type Alfred will monit only Medium wave).
Shadow - Showing second reprezentation of the trend with drawing with the use of minimal and maximal values. It's usefull to determine the delay between the peak and a wave change signal.
Low/Med Line width/color - Width/color of drawn line. Separate setting for Low and Medium trend type.
| IMPULS VISUALIZATION |
Impuls - Drawing impuls modes:
H - Hidden
F - First
S - Second
A - Auto
Impuls color - Color of the first bullish arrow.
Draw arrow - Drawing arrow at the end of the first bullish arrow.
Troubleshooting:
In case of any problems, send error details to the author of the script.
Eurobond CurveABOUT
Dynamically plots 3 no. forward EUROBOND curves. When the curves converge (or worse crossover) there is higher risk of financial uncertainty and potential market correction.
The Eurobond Curves work in a similar way to treasury "yield curve inversion"; except the EUROBOND curves can signal much earlier than Treasuries therefore providing a leading indicator.
The indicator looks the the "near" (next year EUROBOND), "mid" (EUROBOND 2 years out) and "far" (EUROBOND 5 years out) to assess for crossovers.
When the "near" and "mid" curves crossover the "far" curve, concerning economic conditions are developing and it may be a good idea to reduce risk exposure to markets.
LIMITATIONS
The EUROBOND curve crossover events are rare, and this indicator uses data back to 2005 (using approximately 25 TradingView security functions). Given there are relatively few crossover events, the reliability of this indicator should be considered low. Nonetheless, there is decent alignment with treasury yield curve inversions in the 20 year period assessed. Given treasury yield curve inversions have predicted every recession for the last 70 years, we still think the EUROBOND Curves are a useful datapoint to monitor into the future and provide confluence to other risk management strategies.
Bot MasterSqueeze 1.1 (crypt)Countertrend strategy for correction to the average value. The strategy is designed primarily for crypto.
The principle of operation is that with a rapid price change, the strategy tends to take a reverse position to return to the average value, which statistically often happens. It is enough for you to determine the percentage of the offset about the average price and the size of the averaging position as a percentage of the deposit.
With the settings, you determine how to determine the average opening price. It can be MA at the price of opening, closing, etc., and DCMA. Soon I will add a few more options for determining the average opening price
You can also choose the average price at which the transaction will try to close.
Now there are 3 methods:
- closing when returning to the average price
- closing on the first correction candle
- opening on an abnormally large candle in the direction of correction and closing on the first one is opposite
Search for the settings by the selection method for each pair separately. It is better to trade using signals via a bot.
The strategy shows itself best on volatile coins paired with the dollar for 1 hour or more.
Soon I will add new options for opening and closing deals, as well as determining the average price.
ATTENTION: the strategy involves averaging, so be careful with levers and overestimating the percentage of the transaction from the deposit. It is best to allocate no more than 25 percent to the risk of the transaction.
Price Target Pullback Correction or BearPrice Target percent drop is an indicator that allows you to set default percentage down from the 52 week high.
A pullback, correction, bear and a bear market is marked as a 5%, 10%, 20% or 40% drop from the 52 week highest price, so this will show the target price to buy at if these thresholds are hit.
You can change the default values of 5%, 10%, 20% and 40% to any percentage and the price will reflect the change of the default value. Furthermore, the default to use 52 weeks can be changed to find the highest price from the last 26 weeks or 104 weeks.
Swing ComparatorHere I bring you an array of methods to compare the swings and consistency between assets.
This indicator is excellent for swing traders and scalpers looking to maximize their profits by examining which of two closely related pairs provides greater price fluctuation during given period.
This indicator works against two assets, which are to be configured in settings.
This indicator has 5 particular plots for you to examine, each which can be considered for you to contemplate which pair for you to next perform a trade on.
First off, let's start with the blue.
The blue is simply a pearson correlation coefficient, thankfully now included in tradingview. This provides a value of 1 as values show to be close correlation, 0 showing no correlation, and -1 showing negative correlation - meaning an increase in one pair correlates to a decrease in another pair. This will turn green when greater than 0.975, showing a very strong relationship between the two pairs, and red when below -0.975. This is the only plot to be interpreted on a scale from -1 to +1.
Next, we have the purple and yellow background plots, followed by the white and green moving averages. Though similar, these are all slightly different.
For each of these 4 plots, a value greater than 0 indicates greater price swings for your Symbol #1, while a value less than 0 indicates greater price swings for Symbol #2.
These calculations are performed on a per bar basis, meaning you're likely going to be examining bars longer than what you'll normally be trading on. Use confluence, as well as your own judgement for this.
For example, if symbol #1 provides a bar with an open value 1% greater or less than close, providing a 1% swing on a given bar, but symbol #2 provides 2%, the indicator will fall down toward the negative, as Symbol #2 had the greater swing.
First, yellow focuses on only open/close bar values, and thus the body of the candlestick.
Purple, on the other hand, focuses on the wicks of the candle - thus, the high/low values. I've opted to make these two different values as a wick focuses on the embodiment within the time period, and body focuses on the open/close instant.
Next, the green is an extended EMA of the purple - High/Low ratio. This is important to examine trend overtime, and reduce unneeded noise.
Lastly, the white is simply difference in the standard deviation of the particular bars, between the two symbols you have selected. The tends to usually tie up with the green pretty well.
Considering this is going to by nature be very noisy datasets, I have included in settings the option to extend an EMA for everything. They have their default settings, but if you'd like to examine the trend without an EMA, feel free to set it to 1 to eliminate its effects.
I have additionally added the ability to introduce clipping, as well as scale the correlation coefficient to remain visible when examining very short term time scales. In the future, I hope to properly normalize all plots to remain within a -1 to +1 basis. Please be patient as I have multiple projects ongoing.
Suggestions and constructive criticism are very well encouraged.
Anyone is welcome to utilize this in their code, as well, i just ask you provide credit.
As you reduce to time frames less than a day, you will likely have to reduce the coefficient min/max closer to 0.025, or just hide it entirely.
TODO:
Make it look better. Sorry, folks.
Introduce latency between pairs.
Examine significance of a coefficient of determination
Remove static weights and introduce z-score and linear normalization.
Consider adding room for a 3rd pair. This could get ugly, however.
Ehlers Error Correcting Exponential Moving Average [CC]The Error Correcting Exponential Moving Average was created by John Ehlers and Ric Way (Stocks & Commodities V. 28:11 (30-35)) and this is an excellent moving average that accurately identifies the trend and sticks with the price during trends or choppy periods pretty well. It looks back to find the best gain setting for each day that returns the smallest difference between the current price and the ema based on the gain setting and uses that day's info in it's total calculations and if there is a zero gain for the day then it is just a classic ema. I have included strong buy and sell signals in addition to normal ones so lighter colors are normal and darker colors are strong. Buy when the line turns green and sell when it turns red.
Let me know if there are any other indicators you would like to see me publish!
Relative StrengthPowerful tool to calculate and display the strength of a security compared to another security.
Some Main purposes are:
- finding new leadership in a market correction
- comparing a market leader with a top competitor
- tracking rotation in the market
.. and so much more!
This tool is highly configurable, you can especially change:
- The reference symbol (SPY, QQQ, BTCUSD, ...)
- The time span to indicate a new High or Low in a certain time-frame
- Factorize your RS-Chart to make it fit to the original chart. (Moves the chart up or down)
- Option to repaint your candles / bars when a new RS High occurs in the given timeframe.
Enjoy and have a great day!
Powerful_Trading
Cyclic Smoothed RSI with Motive-Corrective Wave Indicator
This indicator uses the cyclic smoothed Relative Strength Index (cRSI) instead of the traditional Relative Strength Index (RSI). See below for more info on the benefits to the cRSI.
My key contributions
1) A Weighted Moving Average (WMA) to track the general trend of the cRSI signal. This is very helpful in determining when the equity switches from bullish to bearish, which can be used to determine buy/sell points. This is then is used to color the region between the upper and lower cRSI bands (green above, red below).
2) An attempt to detect the motive (impulse) and corrective and waves. Corrective waves are indicated A, B, C, D, E, F, G. F and G waves are not technically Elliot Waves, but the way I detect waves it is really hard to always get it right. Once and a while you could actually see G and F a second time. Motive waves are identified as s (strong) and w (weak). Strong waves have a peak above the cRSI upper band and weak waves have a peak below the upper band.
3) My own divergence indicator for bull, hidden bull, bear, and hidden bear. I was not able to replicate the TradingView style of drawing a line from peak to peak, but for this indicator I think in the end it makes the chart cleaner.
There is a latency issue with an indicator that is based on moving averages. That means they tend to trigger right after key events. Perfect timing is not possible strictly with these indicators, but they do work very well "on average." However, my implementation has minimal latency as peaks (tops/bottoms) only require one bar to detect.
As a bit of an Easter Egg, this code can be tweaked and run as a strategy to get buy/sell signals. I use this code for both my indicator and for trading strategy. Just copy and past it into a new strategy script and just change it from study to a strategy, something like this:
strategy("cRSI + Waves Strategy with VWMA overlay", overlay=overlay)
The buy/sell code is at the end and just needs to be uncommented. I make no promises or guarantees about how good it is as a strategy, but it gives you some code and ideas to work with.
Tuning
1) Volume Weighted Moving Average (VWMA): This is a “hidden strategy” feature implemented that will display the high-low bands of the VWMA on the price chart if run the code using “overlay = true”.
- If the equity does not have volume, then the VWMA will not show up. Uncheck this box and it will use the regular WMA (no volume).
- defines how far back the WMA averages price.
2) cRSI (Black line in the indicator)
- Increase to length that amount of time a band (upper/lower) stays high/low after a peak. Reduce the value to shorten the time. Just increment it up/down to see the effect.
- defines how far back the SMA averages the cRSI. This affects the purple line in the indicator.
- defines how many bars back the peak detector looks to determine if a peak has occurred. For example, a top is detected like this: current-bar down relative to the 1-bar-back, 1-bar-back up relative to 2-bars-back (look back = 1), c) 2-bars-back up relative to 3-bars-back (lookback = 2), and d) 3-bars-back up relative to 4-bars-back (lookback = 3). I hope that makes sense. There are only 2 options for this setting: 2 or 3 bars. 2 bars will be able to detect small peaks but create more “false” peaks that may not be meaningful. 3 bars will be more robust but can miss short duration peaks.
3) Waves
- The check boxes are self explanatory for which labels they turn on and off on the plot.
4) Divergence Indicators
- The check boxes are self explanatory for which labels they turn on and off on the plot.
Hints
- The most common parameter to change is the . Different stocks will have different levels of strength in their peaks. A setting of 2 may generate too many corrective waves.
- Different times scales will give you different wave counts. This is to be expected. A counter impulse wave inside a corrective wave may actually go above the cRSI WMA on a smaller time frame. You may need to increase it one or two levels to see large waves.
- Just because you see divergence (bear or hidden bear) does not mean a price is going to go down. Often price continues to rise through bears, so take note and that is normal. Bulls are usually pretty good indicators especially if you see them on C,E,G waves.
----------------------------------------------------------------------------------------------------------------------------
cyclic smoothed RSI (cRSI) indicator
----------------------------------------------------------------------------------------------------------------------------
The “core” code for the cyclic smoothed RSI (cRSI) indicator was written by Lars von Theinen and is subject to the terms of the Mozilla Public License 2.0 at mozilla.org Copyright (C) 2017 CC BY, whentotrade / Lars von Thienen. For more details on the cRSI Indicator:
The cyclic smoothed RSI indicator is an enhancement of the classic RSI, adding
1) additional smoothing according to the market vibration,
2) adaptive upper and lower bands according to the cyclic memory and
3) using the current dominant cycle length as input for the indicator.
It is much more responsive to market moves than the basic RSI. The indicator uses the dominant cycle as input to optimize signal, smoothing, and cyclic memory. To get more in-depth information on the cyclic-smoothed RSI indicator, please read Decoding The Hidden Market Rhythm - Part 1: Dynamic Cycles (2017), Chapter 4: "Fine-tuning technical indicators." You need to derive the dominant cycle as input parameter for the cycle length as described in chapter 4.
Hope this helps and good luck.
Takashi Gaps | 2nd Gen | [Alerts]Spot gaps between bars and benefit from the correction of the market as the price restores its position.
Inputs
Value In
Options input. Defines if the gap between bars will be checked by Points or Percent.
Gap Size
Float input. Value to trigger a signal if the gap between bars is bigger than.
To get access to this and other scripts check links below.
WolfeWaves_ULTRA V2 - Wolfe Wave auto lines drawing incl. SignalHI BIG PLAYERS AROUND THE WORLD,
this script allow to draw automatically lines of Wolfe Wave pattern.
Parallel to the automatic drawing, the indicator can give signals as soon as the 5 point of the Wolfe wave is immediately reached or has been reached. This allows the indicator WolfeWaves_ULTRA V2 to give early signals. In the default settings, the signals are displayed with a blue background on the chart.
WolfeWaves_ULTRA V2 is offered for sale. More information can be found below in the signature.
However, anyone can test this indicator for once without any registration in a 3 day trial. You can request access with a simple message to me.
Another trial of 7 days is included in the offer on my website - before the first payment will done.
In the settings it is possible to change the degree of details. This is sometimes necessary because TradingView limited only 55 lines per indicator in Pinescript Version 4.
In extreme cases it is therefore possible to change the settings that the Wolfe Wave pattern represent waves only from 3 lines. This allows the indicator to detect far more wolf waves on the same chart.
For more great indicators everyone is invited to follow me on TradingView.
Kind regards
NXT2017
RSIEW V2 Thermal Falsecolor show Hot (Impulse) Cold (Correction)HI BIG PLAYER AROUND THE WORLD,
here is my new creation of modified RSI Indikator.
In order to the RSIEW Version 1 (look below this text) I build a thermal rainbow chart that shows the spectrum with all overbought and oversell phases. The colour spectrum can be compared with a thermal imaging camera.
In one hand, the hottest candles (going into red) show the extrem points of the chart. In trend direction this is often wave 3 of Elliott Waves theory and in correction phase it show the bounce period.
In other hand, the coldest candles (going into blue) show the weak points of the chart. In trend direction this is often a "cooling down" and in big correction phases it demonstrate frozen prices (really unattractive trading time).
Have fun with this and give me a feedback.
Of course, you are invited to follow me.
KIND REGARDS
NXT2017
CorrelationCorrelation of two stocks based on the percentile difference. Option to choose 4 different periods.
Correction Percent and Days SinceS
Use this script to see the depths of corrections and also to see how long it has been since a correction.
I published this script because the last time the SNP has gone this long without a 5% correction was 1996 excluding bear markets of course.
NOTE: This script is a 2 in 1. In order to see correction depth only use the first 3 plot settings as visible.
In order to see the days since a correction use the last two plot settings.
