Quarterly Theory ICT 01 [TradingFinder] XAMD + Q1-Q4 Sessions🔵 Introduction
The Quarterly Theory ICT indicator is an advanced analytical system based on the concepts of ICT (Inner Circle Trader) and fractal time. It divides time into quarterly periods and accurately determines entry and exit points for trades by using the True Open as the starting point of each cycle. This system is applicable across various time frames including annual, monthly, weekly, daily, and even 90-minute sessions.
Time is divided into four quarters: in the first quarter (Q1), which is dedicated to the Accumulation phase, the market is in a consolidation state, laying the groundwork for a new trend; in the second quarter (Q2), allocated to the Manipulation phase (also known as Judas Swing), sudden price changes and false moves occur, marking the true starting point of a trend change; the third quarter (Q3) is dedicated to the Distribution phase, during which prices are broadly distributed and price volatility peaks; and the fourth quarter (Q4), corresponding to the Continuation/Reversal phase, either continues or reverses the previous trend.
By leveraging smart algorithms and technical analysis, this system identifies optimal price patterns and trading positions through the precise detection of stop-run and liquidity zones.
With the division of time into Q1 through Q4 and by incorporating key terms such as Quarterly Theory ICT, True Open, Accumulation, Manipulation (Judas Swing), Distribution, Continuation/Reversal, ICT, fractal time, smart algorithms, technical analysis, price patterns, trading positions, stop-run, and liquidity, this system enables traders to identify market trends and make informed trading decisions using real data and precise analysis.
♦ Important Note :
This indicator and the "Quarterly Theory ICT" concept have been developed based on material published in primary sources, notably the articles on Daye( traderdaye ) and Joshuuu . All copyright rights are reserved.
🔵 How to Use
The Quarterly Theory ICT strategy is built on dividing time into four distinct periods across various time frames such as annual, monthly, weekly, daily, and even 90-minute sessions. In this approach, time is segmented into four quarters, during which the phases of Accumulation, Manipulation (Judas Swing), Distribution, and Continuation/Reversal appear in a systematic and recurring manner.
The first segment (Q1) functions as the Accumulation phase, where the market consolidates and lays the foundation for future movement; the second segment (Q2) represents the Manipulation phase, during which prices experience sudden initial changes, and with the aid of the True Open concept, the real starting point of the market’s movement is determined; in the third segment (Q3), the Distribution phase takes place, where prices are widely dispersed and price volatility reaches its peak; and finally, the fourth segment (Q4) is recognized as the Continuation/Reversal phase, in which the previous trend either continues or reverses.
This strategy, by harnessing the concepts of fractal time and smart algorithms, enables precise analysis of price patterns across multiple time frames and, through the identification of key points such as stop-run and liquidity zones, assists traders in optimizing their trading positions. Utilizing real market data and dividing time into Q1 through Q4 allows for a comprehensive and multi-level technical analysis in which optimal entry and exit points are identified by comparing prices to the True Open.
Thus, by focusing on keywords like Quarterly Theory ICT, True Open, Accumulation, Manipulation, Distribution, Continuation/Reversal, ICT, fractal time, smart algorithms, technical analysis, price patterns, trading positions, stop-run, and liquidity, the Quarterly Theory ICT strategy acts as a coherent framework for predicting market trends and developing trading strategies.
🔵b]Settings
Cycle Display Mode: Determines whether the cycle is displayed on the chart or on the indicator panel.
Show Cycle: Enables or disables the display of the ranges corresponding to each quarter within the micro cycles (e.g., Q1/1, Q1/2, Q1/3, Q1/4, etc.).
Show Cycle Label: Toggles the display of textual labels for identifying the micro cycle phases (for example, Q1/1 or Q2/2).
Table Display Mode: Enables or disables the ability to display cycle information in a tabular format.
Show Table: Determines whether the table—which summarizes the phases (Q1 to Q4)—is displayed.
Show More Info: Adds additional details to the table, such as the name of the phase (Accumulation, Manipulation, Distribution, or Continuation/Reversal) or further specifics about each cycle.
🔵 Conclusion
Quarterly Theory ICT provides a fractal and recurring approach to analyzing price behavior by dividing time into four quarters (Q1, Q2, Q3, and Q4) and defining the True Open at the beginning of the second phase.
The Accumulation, Manipulation (Judas Swing), Distribution, and Continuation/Reversal phases repeat in each cycle, allowing traders to identify price patterns with greater precision across annual, monthly, weekly, daily, and even micro-level time frames.
Focusing on the True Open as the primary reference point enables faster recognition of potential trend changes and facilitates optimal management of trading positions. In summary, this strategy, based on ICT principles and fractal time concepts, offers a powerful framework for predicting future market movements, identifying optimal entry and exit points, and managing risk in various trading conditions.
Educational
Quarterly Theory ICT 02 [TradingFinder] True Open Session 90 Min🔵 Introduction
The Quarterly Theory ICT indicator is an advanced analytical system built on ICT (Inner Circle Trader) concepts and fractal time. It divides time into four quarters (Q1, Q2, Q3, Q4), and is designed based on the consistent repetition of these phases across all trading timeframes (annual, monthly, weekly, daily, and even shorter trading sessions).
Each cycle consists of four distinct phases: the first phase (Q1) is the Accumulation phase, characterized by price consolidation; the second phase (Q2), known as Manipulation or Judas Swing, is marked by initial false movements indicating a potential shift; the third phase (Q3) is Distribution, where price volatility peaks; and the fourth phase (Q4) is Continuation/Reversal, determining whether the previous trend continues or reverses.
🔵 How to Use
The central concept of this strategy is the "True Open," which refers to the actual starting point of each time cycle. The True Open is typically defined at the beginning of the second phase (Q2) of each cycle. Prices trading above or below the True Open serve as a benchmark for predicting the market's potential direction and guiding trading decisions.
The practical application of the Quarterly Theory strategy relies on accurately identifying True Open points across various timeframes.
True Open points are defined as follows :
Yearly Cycle :
Q1: January, February, March
Q2: April, May, June (True Open: April Monthly Open)
Q3: July, August, September
Q4: October, November, December
Monthly Cycle :
Q1: First Monday of the month
Q2: Second Monday of the month (True Open: Daily Candle Open price on the second Monday)
Q3: Third Monday of the month
Q4: Fourth Monday of the month
Weekly Cycle :
Q1: Monday
Q2: Tuesday (True Open: Daily Candle Open Price on Tuesday)
Q3: Wednesday
Q4: Thursday
Daily Cycle :
Q1: 18:00 - 00:00 (Asian session)
Q2: 00:00 - 06:00 (True Open: Start of London Session)
Q3: 06:00 - 12:00 (NY AM)
Q4: 12:00 - 18:00 (NY PM)
90 Min Asian Session :
Q1: 18:00 - 19:30
Q2: 19:30 - 21:00 (True Open at 19:30)
Q3: 21:00 - 22:30
Q4: 22:30 - 00:00
90 Min London Session :
Q1: 00:00 - 01:30
Q2: 01:30 - 03:00 (True Open at 01:30)
Q3: 03:00 - 04:30
Q4: 04:30 - 06:00
90 Min New York AM Session :
Q1: 06:00 - 07:30
Q2: 07:30 - 09:00 (True Open at 07:30)
Q3: 09:00 - 10:30
Q4: 10:30 - 12:00
90 Min New York PM Session :
Q1: 12:00 - 13:30
Q2: 13:30 - 15:00 (True Open at 13:30)
Q3: 15:00 - 16:30
Q4: 16:30 - 18:00
Micro Cycle (22.5-Minute Quarters) : Each 90-minute quarter is further divided into four 22.5-minute sub-segments (Micro Sessions).
True Opens in these sessions are defined as follows :
Asian Micro Session :
True Session Open : 19:30 - 19:52:30
London Micro Session :
T rue Session Open : 01:30 - 01:52:30
New York AM Micro Session :
True Session Open : 07:30 - 07:52:30
New York PM Micro Session :
True Session Open : 13:30 - 13:52:30
By accurately identifying these True Open points across various timeframes, traders can effectively forecast the market direction, analyze price movements in detail, and optimize their trading positions. Prices trading above or below these key levels serve as critical benchmarks for determining market direction and making informed trading decisions.
🔵 Setting
Show True Range : Enable or disable the display of the True Range on the chart, including the option to customize the color.
Extend True Range Line : Choose how to extend the True Range line on the chart, with the following options:
None: No line extension
Right: Extend the line to the right
Left: Extend the line to the left
Both: Extend the line in both directions (left and right)
Show Table : Determines whether the table—which summarizes the phases (Q1 to Q4)—is displayed.
Show More Info : Adds additional details to the table, such as the name of the phase (Accumulation, Manipulation, Distribution, or Continuation/Reversal) or further specifics about each cycle.
🔵 Conclusion
The Quarterly Theory ICT, by dividing time into four distinct quarters (Q1, Q2, Q3, and Q4) and emphasizing the concept of the True Open, provides a structured and repeatable framework for analyzing price action across multiple time frames.
The consistent repetition of phases—Accumulation, Manipulation (Judas Swing), Distribution, and Continuation/Reversal—allows traders to effectively identify recurring price patterns and critical market turning points. Utilizing the True Open as a benchmark, traders can more accurately determine potential directional bias, optimize trade entries and exits, and manage risk effectively.
By incorporating principles of ICT (Inner Circle Trader) and fractal time, this strategy enhances market forecasting accuracy across annual, monthly, weekly, daily, and shorter trading sessions. This systematic approach helps traders gain deeper insight into market structure and confidently execute informed trading decisions.
Trend Structure Shift By BCB Elevatebcbelevate.gumroad.com
Trend Structure Shift By BCB Elevate
Overview:
This indicator is a streamlined tool designed to assess the market’s trend structure by pinpointing key price swings. By detecting higher highs and lower lows, the indicator categorizes the market as Bullish, Bearish, or Neutral. Developed by BCB Elevate, it serves as an educational tool for traders seeking to enhance their technical analysis toolkit.
Script Details:
Swing Length Input:
The user can define the “Swing Length” (default is 10 bars) to set the period over which the indicator calculates price extremes.
The script determines the highest high (hh) and the lowest low (ll) within this defined period using ta.highest and ta.lowest functions.
Comparison With Previous Swings:
The script calculates the previous swing’s high (prev_hh) and low (prev_ll) over a period of twice the swing length (using a one-bar offset) to provide a basis for comparison.
If the current highest high exceeds the previous swing’s high, the market is flagged as Bullish.
Conversely, if the current lowest low falls below the previous swing’s low, the market is flagged as Bearish.
If neither condition is met, the market remains Neutral.
Trend Variable and Logical Flow:
A persistent variable trend is declared to store the current trend state.
Using the conditional operator (?:), the script assigns a value of 1 for Bullish, -1 for Bearish, or maintains the previous trend if no new swing condition is met.
Visual Table Display:
The indicator creates a table on the chart to display the current trend status.
The user can choose the table’s position from four options (Top Right, Top Left, Bottom Right, or Bottom Left) to ensure the display aligns with their chart layout.
The table updates dynamically with the text “Bullish,” “Bearish,” or “Neutral” and uses corresponding colors (green for bullish, red for bearish, and gray for neutral) for easy visual interpretation.
Usage & Interpretation:
Input Customization:
Adjust the Swing Length to either capture more granular swings or to smooth out the noise for longer-term trends.
Choose your preferred table position to integrate the indicator seamlessly into your existing chart setup.
Trend Signals:
Bullish Trend: Displayed when a new higher high is identified compared to the previous swing period. This suggests that buyers are in control.
Bearish Trend: Displayed when a new lower low is observed relative to the prior period, indicating selling pressure.
Neutral: Indicates that no significant new swing has been detected, meaning the market may be in a consolidation phase.
Important Notices and Compliance:
Educational Purpose:
This indicator is provided for educational and informational purposes only. It is not intended as financial advice.
Always perform your own analysis or consult with a professional advisor before making any trading decisions.
Final Thoughts:
The "Trend Structure Shift By BCB Elevate" indicator offers a clear, customizable method for evaluating market trends based on price swings. Whether you are a beginner or an experienced trader, understanding these key swing dynamics can enhance your market perspective and assist in making more informed trading decisions.
Happy Trading!
NDX Scalping StrategySignals Long and Short Entries using moving averages with profit targets on NDX
Trend & Entry SignalsScript for trend analysis, entry signals, and dynamic stop-loss placement.
How It Works:
✅ Uses EMA (50 & 200) for trend detection
✅ MACD Crossovers confirm bullish or bearish entries
✅ RSI > 50 strengthens buy signals
✅ ATR-based stop-loss for dynamic risk management
Cumulative New Highs - New Lows IndicatorThis indicator is designed to track market momentum by calculating and plotting the cumulative sum of 52 weeks High-Low for different indices, alongside a customizable moving average.
Index Selection:
Users can choose from multiple indices, including:
Total Stock Market (default)
NYSE Composite
Nasdaq Composite
S&P 500
Nasdaq 100
Russell 2000
Moving Average Customization:
The script allows you to select between a Simple Moving Average (SMA) or an Exponential Moving Average (EMA) for smoothing the cumulative data. The window length of the moving average is also adjustable, letting you tailor the sensitivity of the trend analysis.
Dynamic Background Plotting:
With the background plot option enabled, the indicator changes the chart's background color dynamically:
Green: When the cumulative sum is above its moving average, suggesting bullish momentum.
Red: When it is below the moving average, indicating bearish conditions.
Visual Representation:
Two key lines are plotted:
Cumulative Index Line: Displayed in a subtle blue, representing the aggregated market movement.
Moving Average Line: Shown in an orange tone, offering a smoothed perspective that aids in identifying trend shifts.
Inspiration:
I took inspiration from the indicator made by YoxTrades (I can't put links, but you can check their profile) and added a few features I wanted on top of it.
Investor ToolSummary of the investor tool Indicator The 2-Year MA Multiplier is a long-term investment tool for Bitcoin, designed to identify optimal buying and selling periods.
How It Works:
Buying below the 2-Year MA has historically led to high returns. Selling above 2-Year MA × 4 has been effective for taking profits.
Candle Size Alerts (Manual size)This TradingView Pine Script (v6) is an indicator that triggers alerts based on the size of the previous candle. Here's a breakdown of how it works:
1. Indicator Definition
//@version=6
indicator('Candle Size Alerts (Manual size)', overlay = true)
The script is written in Pine Script v6.
indicator('Candle Size Alerts (Manual size)', overlay = true):
Defines the indicator name as "Candle Size Alerts (Manual size)".
overlay = true means it runs directly on the price chart (not as a separate panel).
2. Calculate the Previous Candle's Body Size
candleSize = math.abs(close - open )
close and open refer to the previous candle’s closing and opening prices.
math.abs(...) ensures that the size is always a positive value, regardless of whether it's a green or red candle.
3. Define a User-Adjustable Candle Size Threshold
candleThreshold = input(500, title = 'Fixed Candle Size Threshold')
input(500, title = 'Fixed Candle Size Threshold'):
Allows users to set a custom threshold (default is 500 points).
If the previous candle's body size exceeds or equals this threshold, an alert is triggered.
4. Check if the Candle Size Meets the Condition
sizeCondition = candleSize >= candleThreshold
This evaluates whether the previous candle's size is greater than or equal to the threshold.
If true, an alert will be generated.
5. Determine Candle Color
isRedCandle = close < open
isGreenCandle = close > open
isRedCandle: The candle is red if the closing price is lower than the opening price.
isGreenCandle: The candle is green if the closing price is higher than the opening price.
6. Generate Alerts Based on Candle Color
if sizeCondition
if isRedCandle
alert('SHORT SIGNAL: Previous candle is RED, body size = ' + str.tostring(candleSize) + ' points (Threshold: ' + str.tostring(candleThreshold) + ')', alert.freq_once_per_bar)
else if isGreenCandle
alert('LONG SIGNAL: Previous candle is GREEN, body size = ' + str.tostring(candleSize) + ' points (Threshold: ' + str.tostring(candleThreshold) + ')', alert.freq_once_per_bar)
If the candle size meets the threshold (sizeCondition == true):
If red, a SHORT SIGNAL alert is triggered.
If green, a LONG SIGNAL alert is triggered.
alert.freq_once_per_bar ensures that alerts are sent only once per candle (avoiding repeated notifications).
How It Works in TradingView:
The script does not plot anything on the chart.
It monitors the previous candle’s body size.
If the size exceeds the threshold, an alert is generated.
Alerts can be used to notify the trader when big candles appear.
How to set Alerts in Trading View
1. Select Indicator – Ensure the indicator is added and properly configured.
2. Set Time Frame – Make sure it's appropriate for your trading strategy.
3. Open Alerts Panel – Click the "Alerts" tab or use the shortcut (Alt + A on Windows).
4. Create a New Alert – Click "+" or "Create Alert."
5. Select Condition – Pick the relevant indicator condition (e.g., "Candle Size Alerts(Manual size)").
6. Choose Alert Function – Default is "Any Alert() Function Call".
7. Set Expiration & Name – Define how long the alert remains active.
8. Configure Notifications – Choose between pop-up, email, webhook, or app notifications.
9. Create Alert – Click "Create" to finalize.
How to set the size manually:
Add the "Candle Size Alerts (Manual size)" Indicator to your chart.
Open Indicator Settings – Click on the indicator and go to the "Inputs" tab.
Set Fixed Size Threshold – Adjust the "Fixed Size Candle Threshold" to your desired value.
Click OK – This applies the changes.
Reset Alerts – Delete and recreate alerts to reflect the new threshold.
Happy Trading !!!!
Multi-Timeframe Trend & S/RThis TradingView Pine Script indicator is designed to analyze market trends across multiple timeframes—4-hour, 1-hour, and 15-minute charts—to identify bullish and bearish trends, entry/exit points, and key support/resistance levels.
1. Inputs & Timeframe Selection
The script requests data from three different timeframes:
4-hour (240 min)
1-hour (60 min)
15-minute (15 min)
It processes moving averages, RSI values, and price action from these timeframes to determine trend strength and market direction.
2. Trend Analysis Using Moving Averages
A 50-period Simple Moving Average (SMA) is calculated for each timeframe.
If the 15-minute SMA is above the 1-hour SMA and the 1-hour SMA is above the 4-hour SMA, this indicates a strong bullish trend.
Conversely, if the 15-minute SMA is below the 1-hour SMA and the 1-hour SMA is below the 4-hour SMA, it signals a bearish trend.
3. Momentum Confirmation Using RSI (Relative Strength Index)
The RSI (14-period) is calculated for each timeframe.
If the 15-minute RSI is above 50, it supports a bullish trend.
If the 15-minute RSI is below 50, it confirms a bearish trend.
4. Entry & Exit Conditions
The script uses crossovers of moving averages for buy/sell signals:
Buy Signal (Long Entry):
When the 15-minute SMA crosses above the 1-hour SMA while confirming a bullish trend.
Sell Signal (Short Entry):
When the 15-minute SMA crosses below the 1-hour SMA while confirming a bearish trend.
Exit Conditions:
Exit Long: If the 15-minute SMA crosses below the 1-hour SMA.
Exit Short: If the 15-minute SMA crosses above the 1-hour SMA.
Buy signals are marked in green, sell signals in red, and exits in blue/orange.
5. Support & Resistance Levels
The script identifies key support and resistance levels for each timeframe:
Support Levels:
Lowest price over the last 50 bars for 4-hour, 1-hour, and 15-minute timeframes.
Resistance Levels:
Highest price over the last 50 bars for 4-hour, 1-hour, and 15-minute timeframes.
Each support and resistance level is plotted in different colors:
4-Hour Levels: Blue
1-Hour Levels: Green
15-Minute Levels: Purple
6. Visual Representation
Buy & Sell Markers:
Green "BUY" labels appear below the candles for long entries.
Red "SELL" labels appear above the candles for short entries.
Exit Markers:
Blue and orange "X" markers indicate exit points.
Support & Resistance Lines:
Clearly plotted on the chart for traders to recognize major price levels.
How This Indicator Helps Traders
Multi-timeframe analysis for a better market perspective.
Trend confirmation using moving averages and RSI.
Clear buy/sell signals to assist in trade execution.
Support/resistance plotting for better decision-making.
This script is useful for intraday and swing traders who rely on multiple timeframes for trade confirmation.
Edri Extreme Points Buy & Sell with 100 EMA FilterEdri Extreme Points Buy & Sell with 100 EMA Filter
cashdata by farashahThis indicator is designed to generate wave charts following the NeoWave method.
NeoWave, developed by Glenn Neely in 1990, offers a scientific and objective approach to wave analysis.
A Cash Data is essential for accurate analysis, requiring highs and lows to be plotted in the exact order they occurred—a process that can be complex and time-consuming.
The indicator automates this process by identifying highs and lows for any symbol and timeframe, plotting them in real-time.
For instance, on a monthly timeframe, it finds yearly highs and lows and arranges them sequentially, forming a "Yearly Wave Chart" for NeoWave analysis.
•Generates Wave Charts for multiple timeframes(yearly, monthly, weekly, daily, hourly, minutely).
• Provides real-time auto-updating Wave Charts.
• Supports plotting based on calendar time, bar count, or equal distances.
• Compatible with all account types.
Multi-Session Price Levelsyou can see asia up and down
daily up and down
monday soon in next update!!
Combined Bollinger IndicatorsНиже приведено подробное описание индикатора "Combined Bollinger Indicators" и рекомендации по интерпретации сигналов на графике.
Combined Bollinger Indicators – это комплексный инструмент для анализа динамики цены, основанный на классических полосах Боллинджера и их модификациях. Он сочетает в себе следующие элементы:
1. Стандартные полосы Боллинджера
Basis (средняя линия): Простая скользящая средняя (SMA) за выбранный период, которая служит основой для построения полос.
Верхняя и нижняя полосы: Вычисляются как Basis плюс/минус произведение стандартного отклонения на заданный множитель. Они отражают уровни, где цена считается перекупленной или перепроданной.
2. Double Bollinger Bands (DBB)
Дополнительный набор полос с другим коэффициентом отклонения. DBB позволяет оценить ценовое поведение в более узком диапазоне, предоставляя дополнительную информацию для определения зон входа и выхода.
3. Отображение значений %B и BandWidth
В правом верхнем углу графика выводится таблица с текущими значениями:
Bollinger %B: Позиция цены внутри диапазона между нижней и верхней полосами.
andWidth: Относительная ширина канала, которая отражает уровень волатильности.
Интерпретация сигналов на графике
1. Пробой границ (Breakout Signals )
Сигнал на покупку:
Зеленый треугольник, расположенный под свечой, появляется при условии, что цена пробивает нижнюю полосу или возвращается внутрь диапазона после кратковременного пробоя, при этом значение %B указывает на перепроданность (ниже 0.2).
Сигнал на продажу:
Красный треугольник над свечой сигнализирует о пробое верхней полосы или возврате внутрь диапазона после кратковременного пробоя, при этом %B свидетельствует о перекупленности (выше 0.8).
2. Пересечение центральной линии (Basis Cross)
При пересечении цены со средней линией (Basis) появляется метка с эмодзи «🔄 basis». Это событие может указывать на смену динамики, подтверждая разворот тренда или окончание коррекции.
3. Сжатие диапазона (Bollinger Squeeze)
Когда текущая ширина канала (BandWidth) резко снижается относительно среднего значения за заданный период (умноженного на коэффициент), на графике появляется метка «🔒 squeeze». Это сигнализирует о снижении волатильности и накоплении сил, что может предшествовать резкому движению цены.
4. Сигналы с использованием Double Bollinger Bands (DBB)
Бычий сигнал DBB:
Если цена находится между внутренней верхней полосой (DBB) и основной верхней полосой, появляется метка «DBB» над свечой, что может указывать на предстоящий восходящий импульс.
Медвежий сигнал DBB:
Если цена располагается между внутренней нижней полосой (DBB) и основной нижней полосой, метка «DBB» появляется под свечой, сигнализируя о возможном нисходящем движении.
Как читать сигналы
Смотрите на визуальные метки:
Зеленые и красные треугольники информируют о пробоях границ, а дополнительные метки (с эмодзи «🔄 basis», «🔒 squeeze» и «DBB») помогают оценить моменты смены тренда и потенциального начала движения.
Анализируйте таблицу значений:
Значения Bollinger %B и BandWidth дают понимание о том, где цена находится внутри диапазона и насколько узкий или широкий канал, что помогает принимать решение об открытии позиции.
Комбинируйте сигналы для подтверждения:*
Например, пробой нижней полосы в сочетании с низким %B может служить подтверждением для покупки, а сигнал сжатия диапазона может указывать на накопление потенциала для сильного движения.
DBB сигнал:
Расположение цены между двумя наборами полос (DBB и основными полосами) дополнительно указывает на возможное направление движения. Метка «DBB» помогает быстро идентифицировать такие моменты.
Этот индикатор предоставляет комплексный анализ, позволяющий учитывать как волатильность, так и уровни перекупленности/перепроданности, что помогает принимать более обоснованные торговые решения.
UT Bot Alerts – Time Filtered with ExitsThis indicator combines several technical approaches to generate precise entry and exit signals, while incorporating time filters that ensure signals are sent only during desired time windows and with defined cooldown periods. It is based on the original idea by QuantNomad.
Main Components:
ATR-based Trailing Stop:
Using the Average True Range (ATR) and an adjustable multiplier ("Key Value"), a dynamic trailing stop is calculated that adapts to the current price. This trailing stop forms the basis for the signal generation.
EMA-based Entry Signals:
A very short exponential moving average (EMA, period 1) is used in combination with the trailing stop to identify clear buy (long) and sell (short) signals via crossovers. An additional buffer zone helps reduce false signals.
Persistent Trade State:
The current state (long, short, or neutral) is maintained so that the system remains in the trend until a new signal is generated.
Linear Regression as Reference:
A linear regression line computed over a defined period serves as a reference for determining exit levels.
Exit Signals with Delay:
Exit signals are generated when the price deviates from the linear regression line by a defined percentage (Exit Signal Deviation) and the condition persists for at least a specified number of bars (Exit Signal Delay). Only one exit signal is issued per trade to avoid excessive exits.
Time Filters and Cooldown:
Session Filter: A user-defined session (e.g., "2200-0500") can disable signals during specified periods.
Cooldown Period: After a signal is triggered, a cooldown phase (in minutes) can be set during which no new signals are sent.
Visual Display and Alerts:
Entry Signals: Buy and sell signals are displayed as labels (green for long, red for short).
Exit Signals: Exit signals appear as triangles, with the exit long signal text displayed in white.
Reference Lines:
The upper exit level (Exit Short Level) is drawn as a solid line in turquoise (color.aqua).
The lower exit level (Exit Long Level) is drawn as a solid line in yellow.
Additionally, the ATR trailing stop and the linear regression line are clearly plotted on the chart.
Alerts can be configured for all signal types.
In Summary:
The indicator delivers precise entry signals based on an ATR trailing stop and a short EMA, supplemented by dynamic exit levels determined via linear regression. With integrated time filters (session and cooldown) and a flexible exit mechanism, this indicator offers controlled trade management—ideal for traders who wish to receive signals only during desired time periods.
Original Author: QuantNomad
Futures Spread TableСчитает спреды с вечными фьючами на моексе.
Все валютные пары. Акции с вечными. Моекс.
Moving Average Exponential with Buy/SellThe Enhanced EMA Signals Indicator is a powerful trend-following tool designed to help traders identify potential buy and sell opportunities based on the crossover of two Exponential Moving Averages (EMAs). It provides clear visual cues, customizable settings, and alert notifications to enhance trading efficiency.
EMA 22 & EMA 55//@version=5
indicator("EMA 22 & EMA 55", overlay=true)
// Define EMA periods
ema22 = ta.ema(close, 22)
ema55 = ta.ema(close, 55)
// Plot EMAs
plot(ema22, title="EMA 22", color=color.blue, linewidth=2)
plot(ema55, title="EMA 55", color=color.red, linewidth=2)
Cruzamento de MME 6 e 24entrada no cruzamento das medias 6 com a 24
a média de 6 cruzando a media de 24 para cia da uma oportunidade de compra
a média de 6 cruzando a média de 24 para baixo da uma oportunidade de venda
Candle SMA & Institutional FlowI think this would help the people. When they want to take the benefit of trading along side institutions.
Ichimoku Entry Historical Data ExportCSV Ichimoku Entry Historical Data Export
test
The Ichimoku Oscillator is a technical indicator derived from the Ichimoku Kinko Hyo system, designed to measure market momentum and trend strength. It is typically calculated as the difference between the Tenkan-sen (Conversion Line) and the Kijun-sen (Base Line).
Key Aspects:
1. Momentum Measurement:
• A positive value suggests that the short-term trend (Tenkan-sen) is stronger than the medium-term trend (Kijun-sen), indicating bullish momentum.
• A negative value indicates that the short-term trend is weaker than the medium-term trend, signaling bearish momentum.
2. Trend Confirmation & Reversals:
• When the Ichimoku Oscillator crosses above zero, it may indicate a bullish signal.
• When it crosses below zero, it may signal a bearish trend.
3. Divergence Analysis:
• If the price is making new highs while the oscillator is declining, it could indicate a potential reversal.
• If the price is making new lows while the oscillator is rising, it could signal a possible bullish reversal.
4. Integration with Other Indicators:
• Traders often combine it with other Ichimoku components (e.g., Cloud (Kumo), Chikou Span) for more comprehensive analysis.
• It can also be used alongside volume indicators or RSI to confirm momentum shifts.
Candle Size Alert (Open-Close)This Pine Script is a TradingView indicator that checks the size of the previous candle's body (difference between the open and close prices) and triggers an alert if it exceeds a certain threshold.
Breakdown of the Script
1. Indicator Declaration
//@version=5
indicator("Candle Size Alert (Open-Close)", overlay=true)
//@version=5: Specifies that the script is using Pine Script v5.
indicator("Candle Size Alert (Open-Close)", overlay=true):
Creates an indicator named "Candle Size Alert (Open-Close)".
overlay=true: Ensures the script runs directly on the price chart (not in a separate panel).
2. User-Defined Threshold
candleThreshold = input.int(500, title="Candle Size Threshold")
input.int(500, title="Candle Size Threshold"):
Allows the user to set the threshold for candle body size.
Default value is 500 points.
3. Calculate Candle Size
candleSize = math.abs(close - open )
close and open :
close : Closing price of the previous candle.
open : Opening price of the previous candle.
math.abs(...):
Takes the absolute difference between the open and close price.
This gives the candle body size (ignoring whether it's bullish or bearish).
4. Check If the Candle Size Meets the Threshold
sizeCondition = candleSize >= candleThreshold
If the previous candle’s body size is greater than or equal to the threshold, sizeCondition becomes true.
5. Determine Candle Color
isRedCandle = close < open
isGreenCandle = close > open
Red Candle (Bearish):
If the closing price is less than the opening price (close < open ).
Green Candle (Bullish):
If the closing price is greater than the opening price (close > open ).
6. Generate Alerts
if sizeCondition
direction = isRedCandle ? "SHORT SIGNAL (RED)" : "LONG SIGNAL (GREEN)"
alertMessage = direction + ": Previous candle body size = " + str.tostring(candleSize) +
" points (Threshold: " + str.tostring(candleThreshold) + ")"
alert(alertMessage, alert.freq_once_per_bar)
If the candle body size exceeds the threshold, an alert is triggered.
direction = isRedCandle ? "SHORT SIGNAL (RED)" : "LONG SIGNAL (GREEN)":
If the candle is red, it signals a short (sell).
If the candle is green, it signals a long (buy).
The alert message includes:
Signal type (LONG/SHORT).
Candle body size.
The user-defined threshold.
How It Works in TradingView:
The script does not plot anything on the chart.
It monitors the previous candle’s body size.
If the size exceeds the threshold, an alert is generated.
Alerts can be used to notify the trader when big candles appear.
Trading ChecklistChecklist metodología de la academia Streetpips para las entradas. Donde estoy, Mapa de intención, tipo de movimiento (continuación, retroceso, Reversión) y el modelo de confirmación ( mod 1,2,3,4 y/o typ enseñados en la academia)
