Dise prev Gen Long/Short
This script builds levels based on the High and Low of the previous trading day; a middle line is also added, which is the average value of these data. The indicator generates a long signal when the High level of the previous day is broken, as well as a short signal when the low is broken. The idea of the indicator is to capture volatility in the crypto market. You can try small takes of 1-2% of the movement, they will be more likely to work out. The script is intended rather to search for interesting “strong” assets within a day, for further analysis of whether it is worth trading or not.
Volatility
EMA Scalping StrategyEMA Slope Indicator Overview:
The indicator plots two exponential moving averages (EMAs) on the chart: a 9-period EMA and a 15-period EMA.
It visually represents the EMAs on the chart and highlights instances where the slope of each EMA exceeds a certain threshold (approximately 30 degrees).
Scalping Strategy:
Using the EMA Slope Indicator on a 5-minute timeframe for scalping can be effective, but it requires adjustments to account for the shorter time horizon.
Trend Identification: Look for instances where the 9-period EMA is above the 15-period EMA. This indicates an uptrend. Conversely, if the 9-period EMA is below the 15-period EMA, it suggests a downtrend.
Slope Analysis: Pay attention to the slope of each EMA. When the slope of both EMAs is steep (exceeds 30 degrees), it signals a strong trend. This can be a favorable condition for scalping as it suggests potential momentum.
Entry Points:
For Long (Buy) Positions: Consider entering a long position when both EMAs are sloping upwards strongly (exceeding 30 degrees) and the 9-period EMA is above the 15-period EMA. Look for entry points when price retraces to the EMAs or when there's a bullish candlestick pattern.
For Short (Sell) Positions: Look for opportunities to enter short positions when both EMAs are sloping downwards strongly (exceeding -30 degrees) and the 9-period EMA is below the 15-period EMA. Similar to long positions, consider entering on retracements or bearish candlestick patterns.
Exit Strategy: Use tight stop-loss orders to manage risk, and aim for small, quick profits. Since scalping involves short-term trading, consider exiting positions when the momentum starts to weaken or when the price reaches a predetermined profit target.
Risk Management:
Scalping involves high-frequency trading with smaller profit targets, so it's crucial to implement strict risk management practices. This includes setting stop-loss orders to limit potential losses and not risking more than a small percentage of your trading capital on each trade.
Backtesting and Optimization:
Before implementing the strategy in live trading, backtest it on historical data to assess its performance under various market conditions. You may also consider optimizing the strategy parameters (e.g., EMA lengths) to maximize its effectiveness.
Continuous Monitoring:
Keep a close eye on market conditions and adjust your strategy accordingly. Market dynamics can change rapidly, so adaptability is key to successful scalping.
NZTVolumeDESCRIPTION IN ENGLISH
🔶 INTRODUCTION
NZTVolume is an advanced indicator for TradingView , inspired by the mentor Almaz . It is intended to facilitate the analytical work of traders who actively use data on real trading volumes in their analysis. The indicator also has many features that simplify operation and provide great opportunities for analysis , including the key function - identification of effective and ineffective movements, which are described below.
🔶 CONTENT
This tool provides detailed visualization of real volume . Other features such as candlestick color change depending on volume, histogram display percentage change in volume , and display candles that have gained liquidity, but the most unique function is the determination of effective and ineffective movements, alerts for them are built into the indicator, and traders will have a unique opportunity by setting alerts to wait for the first effective movement (its meaning and description below) , all this is implemented through advanced computational algorithms applied in the code.
Key features include Real Volume Histogram, Dynamic Candle Color Change, Average Volume Table, Volume Percent Change, Liquidity taken Candle, Volume Moving Averages, Effective and ineffective movements with their lines, 3 types of customizable Volume Alerts.
🔶 LOGIC
🔹 Dynamic Candle Color Change (Изменять цвет свечей)
Candles change to a contrasting color if their volume exceeds that of the previous candle , differentiated into bullish and bearish , including settings for transparency and colors . Can be configured, enabled of or disabled.
🔹 Real Volume Histogram (Показывать гистограмму объемов)
Automatically retrieves data on volumes and shows it on a chart. Can be configured, enabled of or disabled.
🔹 Liquidity Taken Candle (Показывать свечу собравшую ликвидность)
A candle that has taken/captured liquidity , which is determined in the code by the high and low prices of the candle and the volume it has , is displayed on the histogram . Can be configured, enabled or disabled.
🔹 Percent Change Volume (Показывать гистограмму процентного изменения объема)
Calculates and displays volume percent changes on a histogram. Can be configured, enabled or disabled.
🔹 Effective and Ineffective movement/column (Показывать эффективные и неэффективные движения)
By calculating the average volatility of the last bars, as well as calculating the average volume of the last bars, comparing and contrasting them, we obtain the principle of effective and ineffective movement/column. The code includes alerts that allow you to notify the user when the first effective movement/candle appears, which can significantly improve trading and maintain concentration. Basically it's a specific column on histogram, but is called movement so that's it's easier to understand its logic.
🔹 Line of efficiency and inefficiency (Показывать линии эффективности и неэффективности)
These lines connect all effective and ineffective movements' highs on the histogram, allowing traders to practice, as well as build their trading strategy for the trading day.
🔹 Average Volume Table (Показывать таблицу со средним объемом)
Displays the average volume per bar for selected time intervals with the ability to customize the period . Can be configured, enabled or disabled.
🔹 Volume Moving Averages (Показывать среднюю скользящую объема)
Three lines corresponding to users' set time intervals show the change in volume with color and thickness settings. Can be configured, enabled or disabled.
🔹 Alerts (Во сколько раз объем свечи должен превышать предыдущую для алерта)
Alerts can be triggered by 3 conditions
1. if on the selected timeframe the volume of the current candle exceeds the volume of the previous candle by a user-specified number of times , an alert will be triggered.
2. if a liquidity candle appears on the selected timeframe , an alert is triggered.
3. if an effective column/movement appears on the selected timeframe, an alert is triggered.
It can be configured, enabled or disabled.
🔶 TECHNICAL SPECIFICATION AND UNIQUENESS
At the core of NZTVolume is a series of advanced algorithms that analyze volume data in real-time.
Some of them are:
Calculate average volumes by given time period (in hours).
Candles, that took liquidity - considers high volume and wicks' size.
Percent volume change histogram - calculate percent change of volume for every bar and shows it on graph.
Effective and ineffective movement - calculates by algorithm that considers average volume and average volatility, assuming that big market players will contribute the volume.
🔶 DEMONSTRATION OF HOW THE INDICATOR WORKS ON DIFFERENT ASSETS
NZTLevel + NZTVolume Together
🔶 SETTINGS
🔹 Candles (Свечи)
Enable/disable color changes of candles based on volume . Customize colors of contrasting and standard candles, adjust transparency.
🔹 Histogram Settings (Настройки Гистограммы)
Show volume histogram , show liquidity taken candle, show volume percent change histogram, show effective, ineffective movements, show efficiency/inefficiency line.
🔹 Display settings on the Histogram (Настройки отображения на Гистограмме)
Customizable colors for bullish, bearish, liquidity taken columns as well as for effective and ineffective movement/columns and for lines that connect them.
🔹 Table (Таблица)
Toggle the display of the average volume table, customize the background, and set time ranges (3 parameters, multi-timeframe support). Tables shows "average volume over 24/48/72 hours" in translation
🔹 Lines (Линии)
Option to display/hide average volume lines , select colors and thickness for each of the three lines.
🔹 Alerts (Алерты)
As was said before, there are 3 types of alerts , that can be turned off , there is a parameter can be chosen - How many times volume of the current candle should exceeds the volume of the previous candle to trigger alert
🔶 RECOMMENDATIONS FOR USE
It is recommended to set and save the indicator settings that best match your trading preferences to ensure efficiency and ease of use.
NZTVolume stands out among other indicators for its universal functions, versatility, simplicity of installation and setup, high performance, and extensive customization capabilities, making it an indispensable tool for traders of all levels.
The indicator was developed by Temirlan Tolegenov for NZT Trader Community, April 2024, Prague, Czech Republic
ОПИСАНИЕ НА РУССКОМ ЯЗЫКЕ
🔶 ВСТУПЛЕНИЕ
NZTVolume — это продвинутый индикатор для TradingView , вдохновленный ментором Алмазом . Он предназначен для облегчения аналитической работы трейдеров, которые активно используют данные о реальных объёмах торгов в своем анализе. Индикатор также имеет множество функций, которые упрощают работу и предоставляют большие возможности для анализа , включая ключевую функцию - выявление эффективных и неэффективных движений, которые описаны ниже.
🔶 СОДЕРЖАНИЕ
Индикатор обеспечивает детальную визуализацию реального объема . Другие функции, такие как изменение цвета свечей в зависимости от объема, отображение гистограммы процентное изменение объема и отображение свечи, собравшей ликвидность, но самой уникальной функцией является определение эффективных и неэффективных движений, оповещения по ним встроены в индикатор, и у трейдеров появится уникальная возможность установить оповещения на ожидание первого эффективного движения (его смысл и описание ниже). ) , всё это реализовано посредством продвинутых вычислительных алгоритмов, примененных в коде.
Ключевые функции включают в себя гистограмму реального объема, динамическое изменение цвета свечи, таблицу среднего объема, процентное изменение объема, свечу, взявшую ликвидности, скользящие средние объема, эффективные и неэффективные движения с их линиями, 3 типа настраиваемых параметров. Оповещения об объеме.
🔶 ЛОГИКА
🔹 Динамическое изменение цвета свечей (Изменить цвет свечей)
Свечи меняют цвет на контрастный , если их объем превышает объем предыдущей свечи , дифференцируются на бычьи и медвежьи , включая настройки прозрачности и цвета . Можно настроить, включить или отключить.
🔹 Гистограмма реального объёма (Показывать гистограмму объёмов)
Автоматически извлекает данные по объемам и отображает их на графике. Можно настроить, включить или отключить.
🔹 Свеча, собравшая ликвидность (Показывать свечу собравшую ликвидность)
Свеча, собравшая ликвидность , которая определена в коде максимальной и минимальной ценой свечи и объемом, который она имеет , отображается на гистограмма . Можно настроить, включить или отключить.
🔹 Процентное изменение объема (Показывать гистограмму процентного изменения объема)
Вычисляет и отображает процентные изменения объема на гистограмме. Можно настроить, включить или отключить.
🔹 Эффективные и неэффективные движения(Показать Эффективныеи неэффективные движения)
Рассчитав среднюю волатильность последних баров, а также вычислив средний объем последних баров, сравнивая и противопоставляя их, мы получаем принцип эффективного и неэффективного движения/столбца. В код включены оповещения, которые позволяют оповещать пользователя при появлении первого эффективного движения/свечи, что позволяет существенно улучшить торговлю и сохранить концентрацию. По сути, это отдельный столбец на гистограмме, но он называется движением, потому что так, его логику будет легче понять.
🔹 Линия эффективности и неэффективности (Показывать линии эффективности и неэффективности)
Эти линии соединяют хаи всех эффективных и неэффективных движений на гистограмме, позволяя трейдерам практиковаться, а также строить свою торговую стратегию на торговый день.
🔹 Таблица среднего объема (Показать таблицу со значением определения)
Отображает средний объем на бар для выбранных временных интервалов с возможностью настройки периода . Можно настроить, включить или отключить.
🔹 Скользящие средние объёма (Показать среднюю скользящую объём)
Три линии, соответствующие установленным пользователем временным интервалам , показывают изменение объема с настройками цвета и толщины. Можно настроить, включить или отключить.
🔹 Оповещения (Во сколько раз объем свечи должен превышать предыдущую для оповещения)
Оповещения могут быть вызваны тремя условиями
1. Если на выбранном таймфрейме объем текущей свечи превысит объем предыдущей свечи в заданное пользователем количество раз , сработает оповещение
2. Если на выбранном таймфрейме появляется свеча ликвидности , срабатывает оповещение
3. Если на выбранном таймфрейме появляется эффективный столбец/движение , срабатывает оповещение.
Это можно настроить, включить или отключить.
🔶 ТЕХНИЧЕСКИЕ ХАРАКТЕРИСТИКИ И УНИКАЛЬНОСТЬ
В основе NZTVolume лежит серия продвинутых алгоритмов, которые анализируют данные об объемах в режиме реального времени.
Некоторые из них:
Рассчёт средние объёмы за заданный период времени (в часах).
Свечи, снявшие ликвидность - учитывает большой объем и размер шпилей.
Процентное изменение объема на гистограмме — рассчитывает процентное изменение объема для каждого бара и отображает его на графике.
Эффективное и неэффективное движение - рассчитывается по алгоритму, учитывающему средний объем и среднюю волатильность, предполагая, что объем крупных игроков будет сигнализировать о намерении рынка и силе движения.
🔶 НАСТРОЙКИ
🔹 Свечи
Включить/отключить изменение цвета свечей в зависимости от объема . Настройте цвета контрастных и стандартных свечей, настройте прозрачность.
🔹 Настройки гистограммы
Показать гистограмму объема , показать свечу взятой ликвидности, показать гистограмму процентного изменения объема, показать эффективные и неэффективные движения, показать линию эффективности/неэффективности.
🔹 Настройки отображения на гистограмме
Настраиваемые цвета для бычьих, медвежьих, свечей, собравших ликвидность столбцов, а также для эффективных и неэффективных движений/столбцов и линий, которые их соединяют.
🔹 Таблица
Переключайте отображение таблицы среднего объема, настраивайте фон и устанавливайте временные диапазоны (3 параметра, мультитаймфрейм).
🔹 Линии
Возможность отобразить/скрыть линии среднего объема , выбрать цвет и толщину для каждой из трех линий.
🔹 Алерты
Как было сказано ранее, есть 3 типа оповещений , которые можно отключить , можно выбрать параметр — во сколько раз объем текущей свечи должен превышать объем предыдущей свечи, чтобы сработало оповещение.
🔶 РЕКОМЕНДАЦИИ К ИСПОЛЬЗОВАНИЮ
Рекомендуется установить и сохранить настройки индикатора, которые лучше всего соответствуют вашим торговым предпочтениям, чтобы обеспечить эффективность и простоту использования.
NZTVolume выделяется среди других индикаторов своими универсальными функциями, универсальностью, простотой установки и настройки, высокой производительностью и широкими возможностями настройки, что делает его незаменимым инструментом для трейдеров всех уровней.
Индикатор разработан Темирланом Толегеновым для международного сообщества NZT Trader , Апрель 2024, Прага, Чешская Республика.
The indicator is published in accordance and respect to all House Rules of the TradingView platform.
Индикатор опубликован в соответствии и уважением ко всем внутренним правилами платформы TradingView.
Master Candle Breakout Trading Strategy - Omkar BanneDiscover the Power of Master Candle Trading with Our Indicator! 📈
What does it do?
This indicator scans price action to identify 'Master Candle' formations, a powerful signal indicating potential trend continuations.
A Master Candle occurs when the high and low of the next 4 candles are within the range of the previous candle, suggesting a period of consolidation followed by a breakout.
How can it be used?
Swing Trading
Capture significant price movements by entering trades at the breakout of Master Candle formations.
It can also be used for Intraday trading.
Trend Reversals
Identify potential trend reversals early by recognizing Master Candle patterns.
Entry
The indicator displays the entry price depending on the high of the master candle.
Risk Management
Set stop-loss levels and take-profit targets based on the size of the Master Candle, enhancing risk management.
Customizable Threshold
Adjust tolerance levels for high and low prices to suit your trading style.
Background
It highlights the master candle using a different background colour.
Box
It draws a box around the pattern formation.
Theme Options
Choose between light and dark themes for optimal visibility.
Whether you're a beginner or an experienced trader, our Master Candle Trading Strategy Indicator can enhance your trading arsenal and improve your profitability.
TradeTale Reversal Cluster ▲▼This script explains how an Oscillator along with Moving Average & Deviation can be used to catch "Reversal Points (Highest points above Overbought & Lowest points below Oversold)".
What is an Oscillator:-
An oscillator is a technical analysis tool that constructs high and low bands between two extreme values and then builds a trend indicator that fluctuates within these bounds. Traders use the trend indicator to discover short-term overbought or oversold conditions. An oscillator with MA & Deviation is used along with minor calculations (maths) in this Oscillator for generating Long (Green Triangles) and Short signals (Red Triangles).
Moving Average (MA):-
A moving average (MA) is used in technical analysis, used to help smooth out price data by creating a constantly updated average price. A rising moving average indicates that the security is in an uptrend, while a declining moving average indicates a downtrend.
Standard Deviation:-
It is a statistical measure of the amount of variation or dispersion in a set of values. It is used to measure the volatility of an asset's price. It is used to measure how much the price varies from its average price over a certain period of time. A higher standard deviation indicates that the prices are more spread out from the mean, suggesting higher volatility, while a lower standard deviation indicates more stable prices.
Calculation of Standard Deviation
- Find the average value of the data set.
- Find the difference between each data point and the mean.
- Square each of these differences.
- Find the average of the squared differences.
- Take the square root of the variance.
Logic of this indicator:-
This indicator calculates the average price using the formula (high + low + close * 2)/4.
Moving Average & its standard deviation is calculated over a period of 5.
It calculates an oscillator value using a special formula which includes MA & Deviation with Price Action over a period of 5. after that :-
- It determines the highest points for Bearish Red Triangles (Bearish Reversal) and
- It also determines the lowest points for Bullish Green Triangle (Bullish Reversal).
These Triangle signals are based on the calculations of the oscillator values and their MAs & Deviation, and they aim to identify potential reversal points in the price action, when goes above (Bearish Reversal) and when goes below (Bullish Reversal). An oscillator that fluctuates between zero and 100 makes it easy to use for many traders. Its easy to identify extremes because an Oscillator is range-bound.
"Green Triangles" signal in is Long Signal and also exit Short signal. (Bullish Entry/Bearish Exit)
"Red Triangles" signal is Short Signal and also exit Long signal. (Bearish Entry/Bullish Exit)
Caution:-
But remember that Oscillators works best in range bound market and is less trustworthy in trending markets. (caution)
A new trader need to be cautious because during strong trends in the market/security, An oscillator may remain in overbought or oversold condition for extended periods.
Chart Timeframe:-
This Indicator works on all timeframes.
Traders should set stop loss and take profit levels as per risk reward ratio.
Note:-
Like other technical indicators, This indicator also is not a holy grail. It can only assist you in building a good strategy. You can only succeed with proper position sizing, risk management and following correct trading Psychology (No overtrade, No greed, No revenge trade etc).
THIS INDICATOR IS FOR EDUCATIONAL PURPOSE AND PAPER TRADING ONLY. YOU MAY PAPER TRADE TO GAIN CONFIDENCE AND BUILD FURTHER ON THESE. PLEASE CONSULT YOUR FINANCIAL ADVISOR BEFORE INVESTING. WE ARE NOT SEBI REGISTERED.
Hope you all like it
happy learning.
Candle Strength based on Relative Strength of EMAOverview:
The EMA-Based Relative Strength Labels indicator provides a dynamic method to visualize the strength of price movements relative to an Exponential Moving Average (EMA). By comparing the current price to the EMA, it assigns labels (A, B, C for bullish and X, Y, Z for bearish) to candles, indicating the intensity of bullish or bearish behavior.
Key Features:
Dynamic EMA Comparison: The indicator calculates the difference between the current price and the EMA, expressing it as a percentage to determine relative strength.
Configurable Thresholds: Users can set custom thresholds for strong, moderate, and low bullish or bearish movements, allowing for tailored analysis based on personal trading strategy or market behavior.
Clear Visual Labels: Each candle is labeled directly on the chart, making it easy to spot significant price movements at a glance.
Usage:
Trend Confirmation: The labels help confirm the prevailing trend's strength, aiding traders in decision-making regarding entry or exit points.
Risk Management: By identifying the strength of the price movements, traders can better manage stop-loss placements and avoid potential false breakouts.
Strategy Development: Incorporate the indicator into trading systems to enhance strategies that depend on trend strength and momentum.
How It Works:
The script calculates the EMA of the closing prices and measures the relative strength of each candle to this average.
Bullish candles above the EMA and bearish candles below the EMA are further analyzed to determine their strength based on predefined percentage thresholds.
Labels 'A', 'B', and 'C' are assigned for varying degrees of bullish strength, while 'X', 'Y', and 'Z' denote levels of bearish intensity.
Customization:
Users can adjust the EMA period and modify the strength thresholds for both bullish and bearish conditions to suit different instruments and timeframes.
Best Practices:
Combine this indicator with volume analysis and other technical tools for comprehensive market analysis.
Regularly update the thresholds based on market volatility and personal risk tolerance to maintain the effectiveness of the labels.
Pine Script Chart ViewerDisplay your custom charts exported from anywhere in TradingView.
Put your candles on candles :
var Candle candles = array.from(...)
For instance:
var Candle candles = array.from(Candle.new(2.0, 4.0, 1.0, 3.0), Candle.new(3.0, 5.0, 2.0, 4.0))
Candle details:
Candle.new(open_1, high_1, low_1, close_1)
Swing Harmony IndicatorThis indicator is called "Swing Harmony Indicator" and it calculates the average of the highest high and lowest low prices over a certain period, along with a simple moving average of the closing prices. It then plots these values on the chart, with the color of the average line dynamically changing based on whether the second average is less than or greater than the first average.
Dynamic Price Oscillator (Zeiierman)█ Overview
The Dynamic Price Oscillator (DPO) by Zeiierman is designed to gauge the momentum and volatility of asset prices in trading markets. By integrating elements of traditional oscillators with volatility adjustments and Bollinger Bands, the DPO offers a unique approach to understanding market dynamics. This indicator is particularly useful for identifying overbought and oversold conditions, capturing price trends, and detecting potential reversal points.
█ How It Works
The DPO operates by calculating the difference between the current closing price and a moving average of the closing price, adjusted for volatility using the True Range method. This difference is then smoothed over a user-defined period to create the oscillator. Additionally, Bollinger Bands are applied to the oscillator itself, providing visual cues for volatility and potential breakout signals.
█ How to Use
⚪ Trend Confirmation
The DPO can serve as a confirmation tool for existing trends. Traders might look for the oscillator to maintain above or below its mean line to confirm bullish or bearish trends, respectively. A consistent direction in the oscillator's movement alongside price trend can provide additional confidence in the strength and sustainability of the trend.
⚪ Overbought/Oversold Conditions
With the application of Bollinger Bands directly on the oscillator, the DPO can highlight overbought or oversold conditions in a unique manner. When the oscillator moves outside the Bollinger Bands, it signifies an extreme condition.
⚪ Volatility Breakouts
The width of the Bollinger Bands on the oscillator reflects market volatility. Sudden expansions in the bands can indicate a breakout from a consolidation phase, which traders can use to enter trades in the direction of the breakout. Conversely, a contraction suggests a quieter market, which might be a signal for traders to wait or to look for range-bound strategies.
⚪ Momentum Trading
Momentum traders can use the DPO to spot moments when the market momentum is picking up. A sharp move of the oscillator towards either direction, especially when crossing the Bollinger Bands, can indicate the start of a strong price movement.
⚪ Mean Reversion
The DPO is also useful for mean reversion strategies, especially considering its volatility adjustment feature. When the oscillator touches or breaches the Bollinger Bands, it indicates a deviation from the normal price range. Traders might look for opportunities to enter trades anticipating a reversion to the mean.
⚪ Divergence Trading
Divergences between the oscillator and price action can be a powerful signal for reversals. For instance, if the price makes a new high but the oscillator fails to make a corresponding high, it may indicate weakening momentum and a potential reversal. Traders can use these divergence signals to initiate counter-trend moves.
█ Settings
Length: Determines the lookback period for the oscillator and Bollinger Bands calculation. Increasing this value smooths the oscillator and widens the Bollinger Bands, leading to fewer, more significant signals. Decreasing this value makes the oscillator more sensitive to recent price changes, offering more frequent signals but with increased noise.
Smoothing Factor: Adjusts the degree of smoothing applied to the oscillator's calculation. A higher smoothing factor reduces noise, offering clearer trend identification at the cost of signal timeliness. Conversely, a lower smoothing factor increases the oscillator's responsiveness to price movements, which may be useful for short-term trading but at the risk of false signals.
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Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
GKD-BT Optimizer SCSC Backtest [Loxx]The Giga Kaleidoscope GKD-BT Optimizer SCSC Backtest (Solo Confirmation Super Complex) is a Backtest module included in AlgxTrading's "Giga Kaleidoscope Modularized Trading System." (see the section Giga Kaleidoscope (GKD) Modularized Trading System below for an explanation of the GKD trading system)
**the backtest data rendered to the chart above and all screenshots below use $5 commission per trade and 10% equity per trade with $1 million initial capital**
█ GKD-BT Optimizer SCSC Backtest
The GKD-BT Optimizer SCSC Backtest is a comprehensive backtesting module designed to optimize the combination of key GKD indicators within AlgxTrading's "Giga Kaleidoscope Modularized Trading System." This module facilitates precise strategy refinement by allowing traders to configure and optimize the following critical GKD indicators:
GKD-B Baseline
GKD-V Volatility/Volume
GKD-C Confirmation 1
GKD-C Continuation
Each indicator is equipped with an "Optimizer" mode, enabling dynamic feedback and iterative improvements directly into the backtesting environment. This integrated approach ensures that each component contributes effectively to the overall strategy, providing a robust framework for achieving optimized trading outcomes.
The GKD-BT Optimizer supports granular test configurations including a single take profit and stop loss setting, and allows for targeted testing within specified date ranges to simulate forward testing with historical data. This feature is essential for evaluating the resilience and effectiveness of trading strategies under various market conditions.
Furthermore, the module is designed with user-centric features such as:
Customizable Trading Panel: Displays critical backtest results and trade statistics, which can be shown or hidden as per user preference.
Highlighting Thresholds: Users can set thresholds for Total Percent Wins, Percent Profitable, and Profit Factor, which helps in quickly identifying the most relevant metrics for analysis.
The detailed setup ensures that traders can not only adjust their strategies based on historical performance but also fine-tune their approach to meet specific trading objectives.
🔶 To configure this indicator: ***all GKD indicators listed below are all included in the AlgxTrading trading system package***
1. Add GKD-C Confirmation, GKD-B Baseline, GKD-V Volatility/Volume, and GKD-C Continuation to your chart
2. In the GKD-B Baseline indicator, change "Baseline Type" to "Optimizer"
3. In the GKD-V Volatility/Volume indicator, change "Volatility/Volume Type" to "Optimizer"
4. In the GKD-C Confirmation 1 indicator, change "Confirmation Type" to "Optimizer"
5. In the GKD-C Continuation indicator, change "Confirmation Type" to "Optimizer"
An example of steps 2-5. In the screenshot example below, we change the value "Confirmation Type" in the GKD-C Fisher Transform indicator to "Optimizer"
6. In the GKD-BT Optimizer SCSC Backtest, import the value "Input into NEW GKD-BT Backtest" from the GKD-B Baseline indicator into the field "Import GKD-B Baseline indicator"
7. In the GKD-BT Optimizer SCSC Backtest, import the value "Input into NEW GKD-BT Backtest" from the GKD-V Volatility/Volume indicator into the field "Import GKD-V Volatility/Volume indicator"
8. In the GKD-BT Optimizer SCSC Backtest, import the value "Input into NEW GKD-BT Backtest" from the GKD-C Confirmation 1 indicator into the field "Import GKD-C Confirmation 1 indicator"
9. In the GKD-BT Optimizer SCSC Backtest, import the value "Input into NEW GKD-BT Backtest" from the GKD-C Continuation indicator into the field "Import GKD-C Continuation indicator"
An example of steps 6-9. In the screenshot example below, we import the value "Input into NEW GKD-BT Backtest" from the GKD-C Fisher Transform indicator into the GKD-BT Optimizer SCSC Backtest
10. Decide which of the 5 indicators you wish to optimize in first in the GKD-BT Optimizer SCSC Backtest. Change the value of the import from "Input into NEW GKD-BT Backtest" to "Input into NEW GKD-BT Optimizer Signals"
An example of step 10. In the screenshot example below, we chose to optimize the Confirmation 1 indicator, the GKD-C Fisher Transform. We change the value of the field "Import GKD-C Confirmation 1 indicator" from "Input into NEW GKD-BT Backtest" to "Input into NEW GKD-BT Optimizer Signals"
11. In the GKD-BT Optimizer SCSC Backtest and under the "Optimization Settings", use the dropdown menu "Optimization Indicator" to select the type of indicator you selected from step 12 above: "Baseline", "Volatility/Volume", "Confirmation 1", or "Continuation"
12. In the GKD-BT Optimizer SCSC Backtest and under the "Optimization Settings", import the value "Input into NEW GKD-BT Optimizer Start" from the indicator you selected to optimize in step 12 above into the field "Import Optimization Indicator Start"
13. In the GKD-BT Optimizer SCSC Backtest and under the "Optimization Settings", import the value "Input into NEW GKD-BT Optimizer Skip" from the indicator you selected to optimize in step 12 above into the field "Import Optimization Indicator Skip"
An example of step 11. In the screenshot example below, we select "Confirmation 1" from the "Optimization Indicator" dropdown menu
An example of steps 12 and 13. In the screenshot example below, we import "Import Optimization Indicator Start" and "Import Optimization Indicator Skip" from the GKD-C Fisher Transform indicator into their respective fields
🔶 This backtest includes the following metrics
Net profit: Overall profit or loss achieved.
Total Closed Trades: Total number of closed trades, both winning and losing.
Total Percent Wins: Total wins, whether long or short, for the selected time interval regardless of commissions and other profit-modifying addons.
Percent Profitable: Total wins, whether long or short, that are also profitable, taking commissions into account.
Profit Factor: The ratio of gross profits to gross losses, indicating how much money the strategy made for every unit of money it lost.
Average Profit per Trade: The average gain or loss per trade, calculated by dividing the net profit by the total number of closed trades.
Average Number of Bars in Trade: The average number of bars that elapsed during trades for all closed trades.
🔶 Summary of notable settings not already explained above
🔹 Backtest Properties
These settings define the financial and logistical parameters of the trading simulation, including:
Initial Capital: Specifies the starting balance for the backtest, setting the baseline for measuring profitability and loss.
Order Size: Determines the size of trades, which can be fixed or a percentage of the equity, affecting risk and return.
Order Type: Chooses between fixed contract sizes or a percentage-based order size, allowing for static or dynamic trading volumes.
Commission per Order: Accounts for trading costs, subtracting these from profits to provide a more accurate net performance result.
🔹 Signal Qualifiers
This group of settings establishes criteria related to the strategy's Baseline, and Volatility/Volume indicators in relation to the GKD-C Confirmation 1 indicator, which is crucial for validating trade signals. These include:
Maximum Allowable Post Signal Baseline Cross Bars Back: Sets the maximum number of bars that can elapse after a signal generated by a GKD-C Confirmation 1 indicator triggers. If the GKD-C Confirmation 1 indicator generates a long/short signal that doesn't yet agree with the trend position of the Baseline, then should the Baseline "catch-up" to the long/short trend of the GKD-C Confirmation 1 indicator within the number of bars specified by this setting, then a signal is generated.
Maximum Allowable Post Signal Volatility/Volume Cross Bars Back: Sets the maximum number of bars that can elapse after a signal generated by a GKD-C Confirmation 1 indicator triggers. If the GKD-C Confirmation 1 indicator generates a long/short signal that doesn't yet agree with the position of the Volatility/Volume, then should the Volatility/Volume "catch-up" with the long/short of the GKD-C Confirmation 1 indicator within the number of bars specified by this setting, then a signal is generated.
🔹 Signal Settings
Signal Options: These settings allow users to toggle the visibility of different types of entries based on the strategy criteria, such as standard entries, baseline entries, and continuation entries.
Standard Entry Rules Settings: Detailed criteria for standard entries can be customized here, including conditions on baseline agreement, price within specific zones, and agreement with other confirmation indicators.
1-Candle Rule Standard Entry Rules Settings: Similar to standard entries, but with a focus on conditions that must be met within a one-candle timeframe.
Baseline Entry Rules Settings: Specifies rules for entries based on the baseline, including conditions on confirmation agreement and price zones.
Volatility/Volume Entry Rules Settings: This includes settings for entries based on volatility or volume conditions, with specific rules on confirmation agreement and baseline agreement.
Continuation Entry Rules Settings: This group outlines the conditions for continuation entries, focusing on agreement with baseline and confirmation indicators since the entry signal trigger.
🔹 Volatility Settings
Volatility PnL Settings: Parameters for defining the type of volatility measure to use, its period, and multipliers for profit and stop levels.
Volatility Types Included
Standard Deviation of Logarithmic Returns: Quantifies asset volatility using the standard deviation applied to logarithmic returns, capturing symmetric price movements and financial returns' compound nature.
Exponential Weighted Moving Average (EWMA) for Volatility: Focuses on recent market information by applying exponentially decreasing weights to squared logarithmic returns, offering a dynamic view of market volatility.
Roger-Satchell Volatility Measure: Estimates asset volatility by analyzing the high, low, open, and close prices, providing a nuanced view of intraday volatility and market dynamics.
Close-to-Close Volatility Measure: Calculates volatility based on the closing prices of stocks, offering a streamlined but limited perspective on market behavior.
Parkinson Volatility Measure: Enhances volatility estimation by including high and low prices of the trading day, capturing a more accurate reflection of intraday market movements.
Garman-Klass Volatility Measure: Incorporates open, high, low, and close prices for a comprehensive daily volatility measure, capturing significant price movements and market activity.
Yang-Zhang Volatility Measure: Offers an efficient estimation of stock market volatility by combining overnight and intraday price movements, capturing opening jumps and overall market dynamics.
Garman-Klass-Yang-Zhang Volatility Measure: Merges the benefits of Garman-Klass and Yang-Zhang measures, providing a fuller picture of market volatility including opening market reactions.
Pseudo GARCH(2,2) Volatility Model: Mimics a GARCH(2,2) process using exponential moving averages of squared returns, highlighting volatility shocks and their future impact.
ER-Adaptive Average True Range (ATR): Adjusts the ATR period length based on market efficiency, offering a volatility measure that adapts to changing market conditions.
Adaptive Deviation: Dynamically adjusts its calculation period to offer a nuanced measure of volatility that responds to the market's intrinsic rhythms.
Median Absolute Deviation (MAD): Provides a robust measure of statistical variability, focusing on deviations from the median price, offering resilience against outliers.
Mean Absolute Deviation (MAD): Measures the average magnitude of deviations from the mean price, facilitating a straightforward understanding of volatility.
ATR (Average True Range): Finds the average of true ranges over a specified period, indicating the expected price movement and market volatility.
True Range Double (TRD): Offers a nuanced view of volatility by considering a broader range of price movements, identifying significant market sentiment shifts.
🔹 Other Settings
Backtest Dates: Users can specify the timeframe for the backtest, including start and end dates, as well as the acceptable entry time window.
Volatility Inputs: Additional settings related to volatility calculations, such as static percent, internal filter period for median absolute deviation, and parameters for specific volatility models.
UI Options: Settings to customize the user interface, including table activation, date panel visibility, and aesthetics like color and text size.
Export Options: Allows users to select the type of data to export from the backtest, focusing on metrics like net profit, total closed trades, and average profit per trade.
█ Giga Kaleidoscope (GKD) Modularized Trading System
The GKD Trading System is a comprehensive, algorithmic trading framework from AlgxTrading, designed to optimize trading strategies across various market conditions. It employs a modular approach, incorporating elements such as volatility assessment, trend identification through a baseline, multiple confirmation strategies for signal accuracy, and volume analysis. Key components also include specialized strategies for entry and exit, enabling precise trade execution. The system allows for extensive backtesting, providing traders with the ability to evaluate the effectiveness of their strategies using historical data. Aimed at reducing setup time, the GKD system empowers traders to focus more on strategy refinement and execution, leveraging a wide array of technical indicators for informed decision-making.
🔶 Core components of a GKD Algorithmic Trading System
Each GKD indicator is denoted with a module identifier of either: GKD-BT, GKD-B, GKD-C, GKD-V, GKD-M, or GKD-E. This allows traders to understand to which module each indicator belongs and where each indicator fits into the GKD system. The GKD algorithm is built on the principles of trend, momentum, and volatility. There are eight core components in the GKD trading algorithm:
🔹 Volatility - In the GKD trading system, volatility is used as a part of the system to help determine the appropriate stop loss and take profit levels for a trade. There are 17+ different types of volatility available in the GKD system including Average True Range (ATR), True Range Double (TRD), Close-to-Close, Garman-Klass, and more.
🔹 Baseline (GKD-B) - The baseline is essentially a moving average and is used to determine the overall direction of the market. The baseline in the GKD trading system is used to filter out trades that are not in line with the long-term trend of the market. The baseline is plotted on the chart along with other GKD indicators.
Trades are only taken when the price is in the same direction as the baseline. For example, if the baseline is sloping upwards or price is above the baseline, then only long trades are taken, and if the baseline is sloping downwards or price is below the baseline, then only short trades are taken. This approach helps to ensure that trades are in line with the overall trend of the market, and reduces the risk of entering trades that are likely to fail.
🔹 Confirmation 1, Confirmation 2, Continuation (GKD-C) - The GKD trading system incorporates technical confirmation indicators for the generation of its primary long and short signals, essential for its operation.
The GKD trading system distinguishes three specific categories. The first category, Confirmation 1 , encompasses technical indicators designed to identify trends and generate explicit trading signals. The second category, Confirmation 2 , a technical indicator used to identify trends; this type of indicator is primarily used to filter the Confirmation 1 indicator signals; however, this type of confirmation indicator also generates signals*. Lastly, the Continuation category includes technical indicators used in conjunction with Confirmation 1 and Confirmation 2 to generate a special type of trading signal called a "Continuation"
In a full GKD trading system all three categories generate signals. (see the section “GKD Trading System Signals” below)
🔹 Volatility/Volume (GKD-V) - Volatility/Volume indicators are used to measure the amount of buying and selling activity in a market. They are based on the trading Volatility/Volume of the market, and can provide information about the strength of the trend. In the GKD trading system, Volatility/Volume indicators are used to confirm trading signals generated by the various other GKD indicators. In the GKD trading system, Volatility is a proxy for Volume and vice versa.
Volatility/Volume indicators reduce the risk of false signals and improve the overall profitability of trades. These indicators can provide additional information about the market that is not captured by GKD-C confirmation and GKD-B baseline indicators.
🔹 Exit (GKD-E) - The exit indicator in the GKD system is an indicator that is deemed effective at identifying optimal exit points. The purpose of the exit indicator is to identify when a trend is likely to reverse or when the market conditions have changed, signaling the need to exit a trade. By using an exit indicator, traders can manage their risk and prevent significant losses.
🔹 Backtest (GKD-BT) - The GKD-BT backtest indicators link all other GKD-C, GKD-B, GKD-E, GKD-V, and GKD-M components together to create a GKD trading system. GKD-BT backtests generate signals (see the section “GKD Trading System Signals” below) from the confluence of various GKD indicators that are imported into the GKD-BT backtest. Backtest types include: GKD-BT solo and full GKD backtest strategies used for a single ticker; GKD-BT optimizers used to optimize a single indicator or the full GKD trading system; GKD-BT Multi-ticker used to backtest a single indicator or the full GKD trading system across up to ten tickers; GKD-BT exotic backtests like CC, Baseline, and Giga Stacks used to test confluence between GKD components to then be injected into a core GKD-BT Multi-ticker backtest or single ticker strategy.
🔹 Metamorphosis (GKD-M) ** - The concept of a metamorphosis indicator involves the integration of two or more GKD indicators to generate a compound signal. This is achieved by evaluating the accuracy of each indicator and selecting the signal from the indicator with the highest accuracy. As an illustration, let's consider a scenario where we calculate the accuracy of 10 indicators and choose the signal from the indicator that demonstrates the highest accuracy.
The resulting output from the metamorphosis indicator can then be utilized in a GKD-BT backtest by occupying a slot that aligns with the purpose of the metamorphosis indicator. The slot can be a GKD-B, GKD-C, GKD-E, or GKD-V slot, depending on the specific requirements and objectives of the indicator. This allows for seamless integration and utilization of the compound signal within the GKD-BT framework.
*see the section “GKD Trading System Signals” below
**not a required component of the GKD algorithm
🔶 What does the application of the GKD trading system look like?
Example trading system:
Volatility: Average True Range (ATR) (selectable in all backtests and other related GKD indicators)
GKD-B Baseline: GKD-B Multi-Ticker Baseline using Hull Moving Average
GKD-C Confirmation 1 : GKD-C Advance Trend Pressure
GKD-C Confirmation 2: GKD-C Dorsey Inertia
GKD-C Continuation: GKD-C Stochastic of RSX
GKD-V Volatility/Volume: GKD-V Damiani Volatmeter
GKD-E Exit: GKD-E MFI
GKD-BT Backtest: GKD-BT Multi-Ticker Full GKD Backtest
GKD-M Metamorphosis: GKD-M Baseline Optimizer
**all indicators mentioned above are included in the same AlgxTrading package**
Each module is passed to a GKD-BT backtest module. In the backtest module, all components are combined to formulate trading signals and statistical output. This chaining of indicators requires that each module conform to AlgxTrading's GKD protocol, therefore allowing for the testing of every possible combination of technical indicators that make up the various indictor types in the GKD algorithm.
🔶 GKD Trading System Signals
Standard Entry requires a sequence of conditions including a confirmation signal from GKD-C, baseline agreement, price criteria related to the Goldie Locks Zone, and concurrence from a second confirmation and volatility/volume indicators.
1-Candle Standard Entry introduces a two-phase process where initial conditions must be met, followed by a retraction in price and additional confirmations in the subsequent candle, including baseline, confirmations 1 and 2, and volatility/volume criteria.
Baseline Entry focuses on signals generated by the GKD-B Baseline, requiring agreement from confirmation signals, specific price conditions within the Goldie Locks Zone, and a timing condition related to the confirmation 1 signal.
1-Candle Baseline Entry mirrors the baseline entry but adds a requirement for a price retraction and subsequent confirmations in the following candle, maintaining the focus on the baseline's guidance.
Volatility/Volume Entry is predicated on signals from volatility/volume indicators, requiring support from confirmations, price criteria within the Goldie Locks Zone, baseline agreement, and a timing condition for the confirmation 1 signal.
1-Candle Volatility/Volume Entry adapts the volatility/volume entry to include a phase of initial signal and agreement, followed by a retracement phase that seeks further agreement from the system's components in the subsequent candle.
Confirmation 2 Entry is based on the second confirmation signal, requiring the first confirmation's agreement, specific price criteria, agreement from volatility/volume indicators, and baseline, with a timing condition for the confirmation 1 signal.
1-Candle Confirmation 2 Entry adds a retracement requirement to the confirmation 2 entry, necessitating additional agreements from the system's components in the candle following the signal.
PullBack Entry initiates with a baseline signal and agreement from the first confirmation, with a price condition related to volatility. It then looks for price to return within the Goldie Locks Zone and seeks further agreement from the system's components in the subsequent candle.
Continuation Entry allows for the continuation of an active position, based on a previously triggered entry strategy. It requires that the baseline hasn't crossed since the initial trigger, alongside ongoing agreements from confirmations and the baseline.
█ Conclusion
The GKD-BT Optimizer SCSC Backtest is a critical tool within the Giga Kaleidoscope Modularized Trading System, designed for precise strategy refinement and evaluation within the GKD framework. It enables the optimization and testing of various trading indicators and strategies under different market conditions. The module's design facilitates detailed analysis of individual trading components' performance, allowing for the optimization of indicators like Baseline, Volatility/Volume, Confirmation, and Continuation. This optimization process aids traders in identifying the most effective configurations, thereby enhancing trading outcomes and strategy efficiency within the GKD ecosystem.
█ How to Access
You can see the Author's Instructions below to learn how to get access.
GKD-BT Optimizer Full GKD Backtest [Loxx]The Giga Kaleidoscope GKD-BT Optimizer Full GKD Backtest is a Backtest module included in AlgxTrading's "Giga Kaleidoscope Modularized Trading System." (see the section Giga Kaleidoscope (GKD) Modularized Trading System below for an explanation of the GKD trading system)
**the backtest data rendered to the chart above and all screenshots below use $5 commission per trade and 10% equity per trade with $1 million initial capital**
█ GKD-BT Optimizer Full GKD Backtest
The GKD-BT Optimizer Full GKD Backtest is a comprehensive backtesting module designed to optimize the combination of key GKD indicators within AlgxTrading's "Giga Kaleidoscope Modularized Trading System." This module facilitates precise strategy refinement by allowing traders to configure and optimize the following critical GKD indicators:
GKD-B Baseline
GKD-V Volatility/Volume
GKD-C Confirmation 1
GKD-C Confirmation 2
GKD-C Continuation
Each indicator is equipped with an "Optimizer" mode, enabling dynamic feedback and iterative improvements directly into the backtesting environment. This integrated approach ensures that each component contributes effectively to the overall strategy, providing a robust framework for achieving optimized trading outcomes.
The GKD-BT Optimizer supports granular test configurations including a single take profit and stop loss setting, and allows for targeted testing within specified date ranges to simulate forward testing with historical data. This feature is essential for evaluating the resilience and effectiveness of trading strategies under various market conditions.
Furthermore, the module is designed with user-centric features such as:
Customizable Trading Panel: Displays critical backtest results and trade statistics, which can be shown or hidden as per user preference.
Highlighting Thresholds: Users can set thresholds for Total Percent Wins, Percent Profitable, and Profit Factor, which helps in quickly identifying the most relevant metrics for analysis.
The detailed setup ensures that traders can not only adjust their strategies based on historical performance but also fine-tune their approach to meet specific trading objectives.
🔶 To configure this indicator: ***all GKD indicators listed below are all included in the AlgxTrading trading system package***
1. Add GKD-C Confirmation, GKD-B Baseline, GKD-V Volatility/Volume, GKD-C Confirmation 2, and GKD-C Continuation to your chart
2. In the GKD-B Baseline indicator, change "Baseline Type" to "Optimizer"
3. In the GKD-V Volatility/Volume indicator, change "Volatility/Volume Type" to "Optimizer"
4. In the GKD-C Confirmation 1 indicator, change "Confirmation Type" to "Optimizer"
5. In the GKD-C Confirmation 2 indicator, change "Confirmation Type" to "Optimizer"
6. In the GKD-C Continuation indicator, change "Confirmation Type" to "Optimizer"
An example of steps 2-6. In the screenshot example below, we change the value "Confirmation Type" in the GKD-C Fisher Transform indicator to "Optimizer"
7. In the GKD-BT Optimizer Full GKD Backtest, import the value "Input into NEW GKD-BT Backtest" from the GKD-B Baseline indicator into the field "Import GKD-B Baseline indicator"
8. In the GKD-BT Optimizer Full GKD Backtest, import the value "Input into NEW GKD-BT Backtest" from the GKD-V Volatility/Volume indicator into the field "Import GKD-V Volatility/Volume indicator"
9. In the GKD-BT Optimizer Full GKD Backtest, import the value "Input into NEW GKD-BT Backtest" from the GKD-C Confirmation 1 indicator into the field "Import GKD-C Confirmation 1 indicator"
10. In the GKD-BT Optimizer Full GKD Backtest, import the value "Input into NEW GKD-BT Backtest" from the GKD-C Confirmation 2 indicator into the field "Import GKD-C Confirmation 2 indicator"
11. In the GKD-BT Optimizer Full GKD Backtest, import the value "Input into NEW GKD-BT Backtest" from the GKD-C Continuation indicator into the field "Import GKD-C Continuation indicator"
An example of steps 7-11. In the screenshot example below, we import the value "Input into NEW GKD-BT Backtest" from the GKD-C Coppock Curve indicator into the GKD-BT Optimizer Full GKD Backtest
12. Decide which of the 5 indicators you wish to optimize in first in the GKD-BT Optimizer Full GKD Backtest. Change the value of the import from "Input into NEW GKD-BT Backtest" to "Input into NEW GKD-BT Optimizer Signals"
An example of step 12. In the screenshot example below, we chose to optimize the Confirmation 1 indicator, the GKD-C Fisher Transform. We change the value of the field "Import GKD-C Confirmation 1 indicator" from "Input into NEW GKD-BT Backtest" to "Input into NEW GKD-BT Optimizer Signals"
13. In the GKD-BT Optimizer Full GKD Backtest and under the "Optimization Settings", use the dropdown menu "Optimization Indicator" to select the type of indicator you selected from step 12 above: "Baseline", "Volatility/Volume", "Confirmation 1", "Confirmation 2", or "Continuation"
14. In the GKD-BT Optimizer Full GKD Backtest and under the "Optimization Settings", import the value "Input into NEW GKD-BT Optimizer Start" from the indicator you selected to optimize in step 12 above into the field "Import Optimization Indicator Start"
15. In the GKD-BT Optimizer Full GKD Backtest and under the "Optimization Settings", import the value "Input into NEW GKD-BT Optimizer Skip" from the indicator you selected to optimize in step 12 above into the field "Import Optimization Indicator Skip"
An example of step 13. In the screenshot example below, we select "Confirmation 1" from the "Optimization Indicator" dropdown menu
An example of steps 14 and 15. In the screenshot example below, we import "Import Optimization Indicator Start" and "Import Optimization Indicator Skip" from the GKD-C Fisher Transform indicator into their respective fields
🔶 This backtest includes the following metrics
Net profit: Overall profit or loss achieved.
Total Closed Trades: Total number of closed trades, both winning and losing.
Total Percent Wins: Total wins, whether long or short, for the selected time interval regardless of commissions and other profit-modifying addons.
Percent Profitable: Total wins, whether long or short, that are also profitable, taking commissions into account.
Profit Factor: The ratio of gross profits to gross losses, indicating how much money the strategy made for every unit of money it lost.
Average Profit per Trade: The average gain or loss per trade, calculated by dividing the net profit by the total number of closed trades.
Average Number of Bars in Trade: The average number of bars that elapsed during trades for all closed trades.
🔶 Summary of notable settings not already explained above
🔹 Backtest Properties
These settings define the financial and logistical parameters of the trading simulation, including:
Initial Capital: Specifies the starting balance for the backtest, setting the baseline for measuring profitability and loss.
Order Size: Determines the size of trades, which can be fixed or a percentage of the equity, affecting risk and return.
Order Type: Chooses between fixed contract sizes or a percentage-based order size, allowing for static or dynamic trading volumes.
Commission per Order: Accounts for trading costs, subtracting these from profits to provide a more accurate net performance result.
🔹 Signal Qualifiers
This group of settings establishes criteria related to the strategy's Baseline, Volatility/Volume, and Confirmation 2 indicators in relation to the GKD-C Confirmation 1 indicator, which is crucial for validating trade signals. These include:
Maximum Allowable Post Signal Baseline Cross Bars Back: Sets the maximum number of bars that can elapse after a signal generated by a GKD-C Confirmation 1 indicator triggers. If the GKD-C Confirmation 1 indicator generates a long/short signal that doesn't yet agree with the trend position of the Baseline, then should the Baseline "catch-up" to the long/short trend of the GKD-C Confirmation 1 indicator within the number of bars specified by this setting, then a signal is generated.
Maximum Allowable Post Signal Volatility/Volume Cross Bars Back: Sets the maximum number of bars that can elapse after a signal generated by a GKD-C Confirmation 1 indicator triggers. If the GKD-C Confirmation 1 indicator generates a long/short signal that doesn't yet agree with the position of the Volatility/Volume, then should the Volatility/Volume "catch-up" with the long/short of the GKD-C Confirmation 1 indicator within the number of bars specified by this setting, then a signal is generated.
Maximum Allowable Post Signal Confirmation 2 Cross Bars Back: Sets the maximum number of bars that can elapse after a signal generated by a GKD-C Confirmation 1 indicator triggers. If the GKD-C Confirmation 1 indicator generates a long/short signal that doesn't yet agree with the trend position of the Confirmation 2, then should the Confirmation 2 "catch-up" to the long/short trend of the GKD-C Confirmation 1 indicator within the number of bars specified by this setting, then a signal is generated.
🔹 Signal Settings
Signal Options: These settings allow users to toggle the visibility of different types of entries based on the strategy criteria, such as standard entries, baseline entries, and continuation entries.
Standard Entry Rules Settings: Detailed criteria for standard entries can be customized here, including conditions on baseline agreement, price within specific zones, and agreement with other confirmation indicators.
1-Candle Rule Standard Entry Rules Settings: Similar to standard entries, but with a focus on conditions that must be met within a one-candle timeframe.
Baseline Entry Rules Settings: Specifies rules for entries based on the baseline, including conditions on confirmation agreement and price zones.
Volatility/Volume Entry Rules Settings: This includes settings for entries based on volatility or volume conditions, with specific rules on confirmation agreement and baseline agreement.
Confirmation 2 Entry Rules Settings: Settings here define the rules for entries based on a second confirmation indicator, detailing the required agreements and conditions.
Continuation Entry Rules Settings: This group outlines the conditions for continuation entries, focusing on agreement with baseline and confirmation indicators since the entry signal trigger.
🔹 Volatility Settings
Volatility PnL Settings: Parameters for defining the type of volatility measure to use, its period, and multipliers for profit and stop levels.
Volatility Types Included
Standard Deviation of Logarithmic Returns: Quantifies asset volatility using the standard deviation applied to logarithmic returns, capturing symmetric price movements and financial returns' compound nature.
Exponential Weighted Moving Average (EWMA) for Volatility: Focuses on recent market information by applying exponentially decreasing weights to squared logarithmic returns, offering a dynamic view of market volatility.
Roger-Satchell Volatility Measure: Estimates asset volatility by analyzing the high, low, open, and close prices, providing a nuanced view of intraday volatility and market dynamics.
Close-to-Close Volatility Measure: Calculates volatility based on the closing prices of stocks, offering a streamlined but limited perspective on market behavior.
Parkinson Volatility Measure: Enhances volatility estimation by including high and low prices of the trading day, capturing a more accurate reflection of intraday market movements.
Garman-Klass Volatility Measure: Incorporates open, high, low, and close prices for a comprehensive daily volatility measure, capturing significant price movements and market activity.
Yang-Zhang Volatility Measure: Offers an efficient estimation of stock market volatility by combining overnight and intraday price movements, capturing opening jumps and overall market dynamics.
Garman-Klass-Yang-Zhang Volatility Measure: Merges the benefits of Garman-Klass and Yang-Zhang measures, providing a fuller picture of market volatility including opening market reactions.
Pseudo GARCH(2,2) Volatility Model: Mimics a GARCH(2,2) process using exponential moving averages of squared returns, highlighting volatility shocks and their future impact.
ER-Adaptive Average True Range (ATR): Adjusts the ATR period length based on market efficiency, offering a volatility measure that adapts to changing market conditions.
Adaptive Deviation: Dynamically adjusts its calculation period to offer a nuanced measure of volatility that responds to the market's intrinsic rhythms.
Median Absolute Deviation (MAD): Provides a robust measure of statistical variability, focusing on deviations from the median price, offering resilience against outliers.
Mean Absolute Deviation (MAD): Measures the average magnitude of deviations from the mean price, facilitating a straightforward understanding of volatility.
ATR (Average True Range): Finds the average of true ranges over a specified period, indicating the expected price movement and market volatility.
True Range Double (TRD): Offers a nuanced view of volatility by considering a broader range of price movements, identifying significant market sentiment shifts.
🔹 Other Settings
Backtest Dates: Users can specify the timeframe for the backtest, including start and end dates, as well as the acceptable entry time window.
Volatility Inputs: Additional settings related to volatility calculations, such as static percent, internal filter period for median absolute deviation, and parameters for specific volatility models.
UI Options: Settings to customize the user interface, including table activation, date panel visibility, and aesthetics like color and text size.
Export Options: Allows users to select the type of data to export from the backtest, focusing on metrics like net profit, total closed trades, and average profit per trade.
█ Giga Kaleidoscope (GKD) Modularized Trading System
The GKD Trading System is a comprehensive, algorithmic trading framework from AlgxTrading, designed to optimize trading strategies across various market conditions. It employs a modular approach, incorporating elements such as volatility assessment, trend identification through a baseline, multiple confirmation strategies for signal accuracy, and volume analysis. Key components also include specialized strategies for entry and exit, enabling precise trade execution. The system allows for extensive backtesting, providing traders with the ability to evaluate the effectiveness of their strategies using historical data. Aimed at reducing setup time, the GKD system empowers traders to focus more on strategy refinement and execution, leveraging a wide array of technical indicators for informed decision-making.
🔶 Core components of a GKD Algorithmic Trading System
Each GKD indicator is denoted with a module identifier of either: GKD-BT, GKD-B, GKD-C, GKD-V, GKD-M, or GKD-E. This allows traders to understand to which module each indicator belongs and where each indicator fits into the GKD system. The GKD algorithm is built on the principles of trend, momentum, and volatility. There are eight core components in the GKD trading algorithm:
🔹 Volatility - In the GKD trading system, volatility is used as a part of the system to help determine the appropriate stop loss and take profit levels for a trade. There are 17+ different types of volatility available in the GKD system including Average True Range (ATR), True Range Double (TRD), Close-to-Close, Garman-Klass, and more.
🔹 Baseline (GKD-B) - The baseline is essentially a moving average and is used to determine the overall direction of the market. The baseline in the GKD trading system is used to filter out trades that are not in line with the long-term trend of the market. The baseline is plotted on the chart along with other GKD indicators.
Trades are only taken when the price is in the same direction as the baseline. For example, if the baseline is sloping upwards or price is above the baseline, then only long trades are taken, and if the baseline is sloping downwards or price is below the baseline, then only short trades are taken. This approach helps to ensure that trades are in line with the overall trend of the market, and reduces the risk of entering trades that are likely to fail.
🔹 Confirmation 1, Confirmation 2, Continuation (GKD-C) - The GKD trading system incorporates technical confirmation indicators for the generation of its primary long and short signals, essential for its operation.
The GKD trading system distinguishes three specific categories. The first category, Confirmation 1 , encompasses technical indicators designed to identify trends and generate explicit trading signals. The second category, Confirmation 2 , a technical indicator used to identify trends; this type of indicator is primarily used to filter the Confirmation 1 indicator signals; however, this type of confirmation indicator also generates signals*. Lastly, the Continuation category includes technical indicators used in conjunction with Confirmation 1 and Confirmation 2 to generate a special type of trading signal called a "Continuation"
In a full GKD trading system all three categories generate signals. (see the section “GKD Trading System Signals” below)
🔹 Volatility/Volume (GKD-V) - Volatility/Volume indicators are used to measure the amount of buying and selling activity in a market. They are based on the trading Volatility/Volume of the market, and can provide information about the strength of the trend. In the GKD trading system, Volatility/Volume indicators are used to confirm trading signals generated by the various other GKD indicators. In the GKD trading system, Volatility is a proxy for Volume and vice versa.
Volatility/Volume indicators reduce the risk of false signals and improve the overall profitability of trades. These indicators can provide additional information about the market that is not captured by GKD-C confirmation and GKD-B baseline indicators.
🔹 Exit (GKD-E) - The exit indicator in the GKD system is an indicator that is deemed effective at identifying optimal exit points. The purpose of the exit indicator is to identify when a trend is likely to reverse or when the market conditions have changed, signaling the need to exit a trade. By using an exit indicator, traders can manage their risk and prevent significant losses.
🔹 Backtest (GKD-BT) - The GKD-BT backtest indicators link all other GKD-C, GKD-B, GKD-E, GKD-V, and GKD-M components together to create a GKD trading system. GKD-BT backtests generate signals (see the section “GKD Trading System Signals” below) from the confluence of various GKD indicators that are imported into the GKD-BT backtest. Backtest types include: GKD-BT solo and full GKD backtest strategies used for a single ticker; GKD-BT optimizers used to optimize a single indicator or the full GKD trading system; GKD-BT Multi-ticker used to backtest a single indicator or the full GKD trading system across up to ten tickers; GKD-BT exotic backtests like CC, Baseline, and Giga Stacks used to test confluence between GKD components to then be injected into a core GKD-BT Multi-ticker backtest or single ticker strategy.
🔹 Metamorphosis (GKD-M) ** - The concept of a metamorphosis indicator involves the integration of two or more GKD indicators to generate a compound signal. This is achieved by evaluating the accuracy of each indicator and selecting the signal from the indicator with the highest accuracy. As an illustration, let's consider a scenario where we calculate the accuracy of 10 indicators and choose the signal from the indicator that demonstrates the highest accuracy.
The resulting output from the metamorphosis indicator can then be utilized in a GKD-BT backtest by occupying a slot that aligns with the purpose of the metamorphosis indicator. The slot can be a GKD-B, GKD-C, GKD-E, or GKD-V slot, depending on the specific requirements and objectives of the indicator. This allows for seamless integration and utilization of the compound signal within the GKD-BT framework.
*see the section “GKD Trading System Signals” below
**not a required component of the GKD algorithm
🔶 What does the application of the GKD trading system look like?
Example trading system:
Volatility: Average True Range (ATR) (selectable in all backtests and other related GKD indicators)
GKD-B Baseline: GKD-B Multi-Ticker Baseline using Hull Moving Average
GKD-C Confirmation 1 : GKD-C Advance Trend Pressure
GKD-C Confirmation 2: GKD-C Dorsey Inertia
GKD-C Continuation: GKD-C Stochastic of RSX
GKD-V Volatility/Volume: GKD-V Damiani Volatmeter
GKD-E Exit: GKD-E MFI
GKD-BT Backtest: GKD-BT Multi-Ticker Full GKD Backtest
GKD-M Metamorphosis: GKD-M Baseline Optimizer
**all indicators mentioned above are included in the same AlgxTrading package**
Each module is passed to a GKD-BT backtest module. In the backtest module, all components are combined to formulate trading signals and statistical output. This chaining of indicators requires that each module conform to AlgxTrading's GKD protocol, therefore allowing for the testing of every possible combination of technical indicators that make up the various indictor types in the GKD algorithm.
🔶 GKD Trading System Signals
Standard Entry requires a sequence of conditions including a confirmation signal from GKD-C, baseline agreement, price criteria related to the Goldie Locks Zone, and concurrence from a second confirmation and volatility/volume indicators.
1-Candle Standard Entry introduces a two-phase process where initial conditions must be met, followed by a retraction in price and additional confirmations in the subsequent candle, including baseline, confirmations 1 and 2, and volatility/volume criteria.
Baseline Entry focuses on signals generated by the GKD-B Baseline, requiring agreement from confirmation signals, specific price conditions within the Goldie Locks Zone, and a timing condition related to the confirmation 1 signal.
1-Candle Baseline Entry mirrors the baseline entry but adds a requirement for a price retraction and subsequent confirmations in the following candle, maintaining the focus on the baseline's guidance.
Volatility/Volume Entry is predicated on signals from volatility/volume indicators, requiring support from confirmations, price criteria within the Goldie Locks Zone, baseline agreement, and a timing condition for the confirmation 1 signal.
1-Candle Volatility/Volume Entry adapts the volatility/volume entry to include a phase of initial signal and agreement, followed by a retracement phase that seeks further agreement from the system's components in the subsequent candle.
Confirmation 2 Entry is based on the second confirmation signal, requiring the first confirmation's agreement, specific price criteria, agreement from volatility/volume indicators, and baseline, with a timing condition for the confirmation 1 signal.
1-Candle Confirmation 2 Entry adds a retracement requirement to the confirmation 2 entry, necessitating additional agreements from the system's components in the candle following the signal.
PullBack Entry initiates with a baseline signal and agreement from the first confirmation, with a price condition related to volatility. It then looks for price to return within the Goldie Locks Zone and seeks further agreement from the system's components in the subsequent candle.
Continuation Entry allows for the continuation of an active position, based on a previously triggered entry strategy. It requires that the baseline hasn't crossed since the initial trigger, alongside ongoing agreements from confirmations and the baseline.
█ Conclusion
The GKD-BT Optimizer Full GKD Backtest is a critical tool within the Giga Kaleidoscope Modularized Trading System, designed for precise strategy refinement and evaluation within the GKD framework. It enables the optimization and testing of various trading indicators and strategies under different market conditions. The module's design facilitates detailed analysis of individual trading components' performance, allowing for the optimization of indicators like Baseline, Volatility/Volume, Confirmation, and Continuation. This optimization process aids traders in identifying the most effective configurations, thereby enhancing trading outcomes and strategy efficiency within the GKD ecosystem.
█ How to Access
You can see the Author's Instructions below to learn how to get access.
Market Trend OscillatorMarket Trend Oscillator segments the market into ranged bound and trending aspect. The threshold level segregates both types of market. With higher level, both the risk and reward lower down.
The MTO indicator, is based on Standard Deviation, difference between highest high and lowest low, ATR and ADR. There are two different volatility aspect which are:
Volatility according to the movement of one price e.g. closing price.
Volatility according to the candles.
The minimum of both these aspects gives an insight into the volatility of the market. To segregate a dynamic value with ATR and ADR is used with the threshold level. Moreover, the volatilities can be smoothed to have a smoother decision making.
Coiled Moving AveragesThis indicator detects when 3 moving averages converge and become coiled. This indicates volatility contraction which often leads to volatility expansion, i.e. large price movements.
Moving averages are considered coiled when the percent difference from each moving average to the others is less than the Coil Tolerance % input value.
This indicator is unique in that it detects when moving averages converge within a specified percent range. This is in contrast to other indicators that only detect moving average crossovers, or the distance between price and a moving average.
This indicator includes options such as:
- % difference between the MAs to be considered coiled
- type and length of MAs
- background color to indicate when the MAs are coiled
- arrows to indicate if price is above or below the MAs when they become coiled
While coiling predicts an increased probability for volatility expansion, it does not necessarily predict the direction of expansion. However, the arrows which indicate whether price is above or below the moving average coil may increase the odds of a move in that direction. Bullish alignment of the moving averages (faster MAs above the slower MAs) may also increase the odds of a bullish break, while bearish alignment may increase the odds of a bearish break.
Note that mean reversion back to the MA coil is common after initial volatility expansion. This can present an entry opportunity for traders, as mean reversion may be followed by continuation in the direction of the initial break.
Experiment with different settings and timeframes to see how coiled MAs can help predict the onset of volatility.
Vegas SuperTrend Enhanced - Strategy [presentTrading]█ Introduction and How it is Different
The "Vegas SuperTrend Enhanced - Strategy " trading strategy represents a novel integration of two powerful technical analysis tools: the Vegas Channel and the SuperTrend indicator. This fusion creates a dynamic, adaptable strategy designed for the volatile and fast-paced cryptocurrency markets, particularly focusing on Bitcoin trading.
Unlike traditional trading strategies that rely on a static set of rules, this approach modifies the SuperTrend's sensitivity to market volatility, offering traders the ability to customize their strategy based on current market conditions. This adaptability makes it uniquely suited to navigating the often unpredictable swings in cryptocurrency valuations, providing traders with signals that are both timely and reflective of underlying market dynamics.
BTC 6h LS
█ Strategy, How it Works: Detailed Explanation
This is an innovative approach that combines the volatility-based Vegas Channel with the trend-following SuperTrend indicator to create dynamic trading signals. This section delves deeper into the mechanics and mathematical foundations of the strategy.
Detail picture to show :
🔶 Vegas Channel Calculation
The Vegas Channel serves as the foundation of this strategy, employing a simple moving average (SMA) coupled with standard deviation to define the upper and lower bounds of the trading channel. This channel adapts to price movements, offering a visual representation of potential support and resistance levels based on historical price volatility.
🔶 SuperTrend Indicator Adjustment
Central to the strategy is the SuperTrend indicator, which is adjusted according to the width of the Vegas Channel. This adjustment is achieved by modifying the SuperTrend's multiplier based on the channel's volatility, allowing the indicator to become more sensitive during periods of high volatility and less so during quieter market phases.
🔶 Trend Determination and Signal Generation
The market trend is determined by comparing the current price with the SuperTrend values. A shift from below to above the SuperTrend line signals a potential bullish trend, prompting a "buy" signal, whereas a move from above to below indicates a bearish trend, generating a "sell" signal. This methodology ensures that trades are entered in alignment with the prevailing market direction, enhancing the potential for profitability.
BTC 6h Local
█ Trade Direction
A distinctive feature of this strategy is its configurable trade direction input, allowing traders to specify whether they wish to engage in long positions, short positions, or both. This flexibility enables users to tailor the strategy according to their risk tolerance, trading style, and market outlook, providing a personalized trading experience.
█ Usage
To utilize the "Vegas SuperTrend - Enhanced" strategy effectively, traders should first adjust the input settings to align with their trading preferences and the specific characteristics of the asset being traded. Monitoring the strategy's signals within the context of overall market conditions and combining its insights with other forms of analysis can further enhance its effectiveness.
█ Default Settings
- Trade Direction: Both (allows trading in both directions)
- ATR Period for SuperTrend: 10 (determines the length of the ATR for volatility measurement)
- Vegas Window Length: 100 (sets the length of the SMA for the Vegas Channel)
- SuperTrend Multiplier Base: 5 (base multiplier for SuperTrend calculation)
- Volatility Adjustment Factor: 5.0 (adjusts SuperTrend sensitivity based on Vegas Channel width)
These default settings provide a balanced approach suitable for various market conditions but can be adjusted to meet individual trading needs and objectives.
Best Average Candle SizeThis indicator, named "Best Average Candle Size with Dynamic Midline" (BACS), is designed to provide insights into the average candle size of a financial instrument along with a dynamically adjusting midline. Here's a brief description of its components and functionality:
1. **Average Candle Size**: The indicator calculates the average size of candles over a specified period, which is the absolute difference between the open and close prices. This average candle size is plotted on the chart, helping traders understand the typical price movement within each candle.
2. **Dynamic Midline**: In addition to the average candle size, the indicator computes a dynamic midline. This midline is determined by calculating the moving average of the average candle size over another specified period. The dynamic midline adapts to changes in the average candle size, providing a reference point for assessing deviations from the average.
3. **Volatility Analysis**: The indicator incorporates the Average True Range (ATR) to assess volatility. ATR is plotted alongside the average candle size and the dynamic midline. Traders can compare the average candle size to the ATR to gauge volatility levels. Higher average candle sizes relative to ATR may indicate periods of heightened volatility.
4. **Trend Strength Analysis**: The indicator also evaluates trend strength by comparing the average candle size to its dynamic midline. When the average candle size is above the dynamic midline, it suggests potential trend strength. Traders can use this comparison to assess the strength of price movements and identify potential trend reversal points.
5. **Visualization and Highlighting**: The indicator provides visual representations of the average candle size, dynamic midline, and ATR on the price chart. It also highlights conditions of interest, such as periods of high volatility or strong trend strength, using customizable background colours.
Overall, the "Best Average Candle Size with Dynamic Midline" indicator offers traders a comprehensive view of average candle size dynamics, volatility, and trend strength, aiding in their technical analysis and decision-making processes.
Trend, Momentum, Volume Delta Ratings Emoji RatingsThis indicator provides a visual summary of three key market conditions - Trend, Momentum, and Volume Delta - to help traders quickly assess the current state of the market. The goal is to offer a concise, at-a-glance view of these important technical factors.
Trend (HMA): The indicator uses a Hull Moving Average (HMA) to assess the overall trend direction. If the current price is above the HMA, the trend is considered "Good" or bullish (represented by a 😀 emoji). If the price is below the HMA, the trend is "Bad" or bearish (🤮). If the price is equal to the HMA, the trend is considered "Neutral" (😐).
Momentum (ROC): The Rate of Change (ROC) is used to measure the momentum of the market. A positive ROC indicates "Good" or bullish momentum (😀), a negative ROC indicates "Bad" or bearish momentum (🤮), and a zero ROC is considered "Neutral" (😐).
Volume Delta: The indicator calculates the difference between the current trading volume and a simple moving average of the volume (Volume Delta). If the Volume Delta is above a user-defined threshold, it is considered "Good" or bullish (😀). If the Volume Delta is below the negative of the threshold, it is "Bad" or bearish (🤮). Values within the threshold are considered "Neutral" (😐).
The indicator displays these three ratings in a compact table format in the top-right corner of the chart. The table uses color-coding to quickly convey the overall market conditions - green for "Good", red for "Bad", and gray for "Neutral".
This indicator can be useful for traders who want a concise, at-a-glance view of the current market trend, momentum, and volume activity. By combining these three technical factors, traders can get a more well-rounded understanding of the market conditions and potentially identify opportunities or areas of concern more easily.
The user can customize the indicator by adjusting the lengths of the HMA, ROC, and Volume moving average, as well as the Volume Delta threshold. The colors used in the table can also be customized to suit the trader's preferences.
Squeeze Momentum Oscillator [AlgoAlpha]🎉📈 Introducing the Squeeze Momentum Oscillator by AlgoAlpha 📉🎊
Unlock the secrets of market dynamics with our innovative Squeeze Momentum Oscillator! Crafted for those who seek to stay ahead in the fast-paced trading environment, this tool amalgamates critical market momentum and volatility indicators to offer a multifaceted view of potential market movements. Here's why it's an indispensable part of your trading toolkit:
Key Features:
🌈 Customizable Color Schemes: Easily distinguish between bullish (green) and bearish (red) momentum phases for intuitive analysis.
🔧 Extensive Input Settings: Tailor the oscillator lengths for both Underlying and Swing Momentum to match your unique trading approach.
📊 Dedicated Squeeze Settings: Leverage precise volatility insights to identify market squeeze scenarios, signaling potential breakouts or consolidations.
🔍 Advanced Divergence Detection: Utilize sophisticated algorithms to detect and visualize both bullish and bearish divergences, pointing towards possible market reversals.
📈 Hyper Squeeze Detection: Stay alert to high-momentum market movements with our hyper squeeze feature, designed to extremely suppressed market volatility.
🔔 Comprehensive Alert System: Never miss a trading opportunity with alerts for momentum changes, squeeze conditions, and more.
Quick Guide to Using the Squeeze Momentum Oscillator:
🛠 Add the Indicator: Add the indicator to your favourites. Adjust the oscillator and squeeze settings to suit your trading preferences.
📊 Market Analysis: Keep an eye on the squeeze value and momentum z-score for insights into volatility and market direction. Hyper Squeeze signals are your cue for high momentum trading opportunities.
🔔 Alerts: Configure alerts for shifts in underlying and swing momentum, as well as entry and exit points for squeeze conditions, to capture market moves efficiently.
How It Works:
The Squeeze Momentum Oscillator by AlgoAlpha synergistically combines the principles of momentum tracking and market squeeze detection. By integrating the core logic of the Squeeze & Release indicator, it calculates the Squeeze Value (SV) through a comparison of the Exponential Moving Average (EMA) of the Average True Range (ATR) against the high-low price EMA. This SV is further analyzed alongside its EMA to pinpoint squeeze conditions, indicative of potential market breakouts or consolidations. In addition to this, the oscillator employs Hyper Squeeze Detection for identifying extremely low volatility. The momentum aspect of the oscillator evaluates the price movement relative to EMAs of significant highs and lows, refining these observations with a z-score normalization for short-term momentum insights. Moreover, the incorporation of divergence detection aids in identifying potential reversals, making this oscillator a comprehensive tool for traders looking to harness the power of volatility and momentum in their market analysis. The combination of the Squeeze & Release and the Momentum Oscillator allows traders to time their trades with more precision by entering when the market is in a squeeze and front running the volatility of a major move.
Elevate your trading strategy with the Squeeze Momentum Oscillator by AlgoAlpha and gain a competitive edge in deciphering market dynamics! 🌟💼 Happy trading!
NZTLevelDESCRIPTION IN ENGLISH
🔶 INTRODUCTION
NZTLevel is an advanced indicator for TradingView, inspired by mentor Almaz , and designed to provide traders with in-depth analysis of market liquidity and the movements of key players.
🔶 CONTENT
Based on an analysis based on liquidity and tracking a key player , the indicator identifies Breaker levels and UPM (MarketMaker Position Level in RU), which help determine potential pivot points and market direction (trend) , and also shows a direction line , giving information about the state in which each candle is located on the chart (effort, consolidation or normal trend movement without effort), as well as the transparency of the candles , made specifically so that the direction line is clearly and clearly visible.
🔶 LOGIC
🔹Breaker Levels (Local and Global)
Breaker levels , divided into local and global , are identified through a detailed algorithm that takes into account the penetration of levels with high liquidity and the expected subsequent reaction of the market. These levels are visualized on the chart as lines, the color and thickness of which are customizable by the user, providing a clear understanding of the current market situation. Breaker levels allow us to determine the direction of the market , these are the levels from which we can expect a reaction, and after breaking through this level we receive valuable information
🔹UPM (Sell Stop and Buy Stop)
UPM monitors the activity of market makers and helps predict significant market movements . For example, if the last UPM indicates a buy stop, this signals the possibility of long positions, which is extremely valuable for traders looking to optimize their entries and manage risk.
🔹Directional line (Линия направленности)
The Indicator also includes a directional line that changes color depending on the strength and direction of the current movement , providing a visual representation of market trends and consolidation.
🔶 SETTINGS
🔹Text (Текст)
Allows you to configure or turn off/on the display of level text, specifying their type with text at the beginning of the level drawing (labels), as well as its size, the color of the level text at the top or bottom separately.
🔹Levels (Уровни)
Allows you to configure or turn off/on the display of the levels themselves, their color, thickness. As well as the number of penetrations of the level to remove it, as well as the number of candles for consideration and analysis by the indicator on the chart.
🔹Directional Line (Линия направленности)
Allows you to adjust the thickness of this line; you can disable it in the style tab.
🔹Graph and Candle Settings (Настройки графика и свечей)
Allows you to configure how many candles to extend the level to the right, the transparency of candles (can be disabled in styles), default colors of candles (for setting transparency)
🔶 RECOMMENDATIONS FOR USE
Customize the visual display of the indicator through the built-in settings, including the colors of the liquidity lines and their thickness.
NZTLevel surpasses basic indicators such as moving averages, Bollinger Bands, RSI, and others with a unique approach to analyzing liquidity and positioning of major players, providing traders with a comprehensive tool for making informed decisions in the market.
The indicator was developed by Temirlan Tolegenov for NZT Trader Community , March 2024, Prague, Czech Republic
ОПИСАНИЕ НА РУССКОМ ЯЗЫКЕ
🔶 ВСТУПЛЕНИЕ
NZTLevel — это продвинутый индикатор для TradingView, вдохновленный ментором Алмазом , и разработанный с целью предоставить трейдерам глубокий анализ рыночной ликвидности и движения крупных игроков.
🔶 СОДЕРЖАНИЕ
На основе анализа, основанном на ликвидности и отслеживании крупного игрока , индикатор выявляет Брейкер уровни и УПМ (Уровень Позиции МаркетМейкера) , которые помогают определить потенциальные точки разворота и направленность рынка , а так же показывает линию направленности , дающую информацию о состоянии в которой находится каждая свеча на графике (усилие, консолидация или обычное трендовое движения без усилия), а так же прозрачность свечей , сделанная специально для того, чтобы линия направленности была ясно и четко видима.
🔶 ЛОГИКА
🔹Брейкер Уровни (Локальные, Глобальные)
Брейкер уровни , подразделяются на локальные и глобальные , идентифицируются через детализированный алгоритм, учитывающий пробитие уровней с высокой ликвидностью и ожидаемую последующую реакцию рынка. Эти уровни визуализируются на графике в виде линий, цвет и толщина которых настраиваются пользователем, предоставляя четкое понимание текущей рыночной ситуации . Брейкер уровни позволяют нам определить настроение и направлениедвижения рынка , это уровни, от которых мы можем ожидать реакции, и после пробития которых мы получаем ценную информацию .
🔹УПМ (Бай стоп, Селл стоп)
УПМ отслеживает активность МаркетМейкеров и помогает проанализировать значительные рыночные движения . К примеру если последний УПМ указывает на бай стоп, это сигнализирует о возможности длинных позиций, что чрезвычайно ценно для трейдеров, стремящихся к оптимизации своих входов и управлению рисками.
🔹Линия направленности
Так же Индикатор включает линию направленности , которая изменяет цвет в зависимости от силы и направления текущего движения , предоставляя наглядное представление о трендах и консолидации рынка.
🔶 НАСТРОЙКИ
🔹Текст
Позволяет настроить или выключить/включить отображение текста уровней, уточняющий их тип текстом у начала отрисовки уровня (labels), так же его размер, цвет текста уровня сверху, или снизу отдельно.
🔹Уровни
Позволяет настроить или выключить/включить отображение самих уровней, их цвет, толщину. А так же количество пробитий уровня для его удаления, как и количество свеч для рассмотрения и анализа индикатором на графике.
🔹Линия направленности
Позволяет настроить толщину этой линии, отключить ее можно во вкладке style (стиль)
🔹Настройки графика и свечей
Позволяют настроить то, на сколько свеч протягивать уровень направо, прозрачность свечей (можно отключить в стилях (style)), цвета свечей по умолчанию (для настройки прозрачности)
🔶 РЕКОМЕНДАЦИИ К ИСПОЛЬЗОВАНИЮ
Настроить визуальное отображение индикатора через встроенные настройки, включая цвета линий ликвидности и их толщину.
NZTLevel превосходит базовые индикаторы, такие как скользящие средние, Bollinger Bands, RSI, и другие, благодаря уникальному подходу к анализу ликвидности и позиционирования крупных игроков, предоставляя трейдерам комплексный инструмент для принятия обоснованных решений на рынке.
Индикатор разработан Темирланом Толегеновым для международного сообщества NZT Trader , Март 2024, Прага, Чешская Республика
The indicator is published in accordance and respect to all House Rules of the TradingView platform.
Индикатор опубликован в соответствии и уважением ко всем внутренним правилами платформы TradingView.
TrendVista Swing IndicatorOverview
The swing indicator is designed to offer traders a comprehensive analysis of market trends and volatility by integrating Bollinger Bands and the Average True Range (ATR). It aids in the visualization of price movements and volatility across multiple time frames, thereby providing insights into potential buy and sell opportunities.
Key Features
- Multitimeframe Analysis : By default, the indicator examines the market across the following time frames: 1 Day (1D), 4 Hours (4H), 1 Hour (1H), and 15 Minutes (15min). Users have the flexibility to modify these time frames to suit their trading strategy by adjusting the indicator's settings.
- Buy and Sell Timings : The indicator identifies optimal buy signals when the price drops below the lower Bollinger Band and subsequently re-enters the band's range. Additionally, a buy signal is generated during high volatility periods—signified by the ATR exceeding its 10-day average—helping traders spot potential liquidation points. Sell signals are tailored for traders looking to exit long positions rather than for initiating short positions.
- Bollinger Bands Phases : The indicator categorizes the market condition into three phases based on Bollinger Bands movement:
- Neutral Phase : When the closing price is within the Bollinger Bands' upper and lower limits.
- Bullish Phase : Signaled by the price closing above the upper Bollinger Band, suggesting an upward trend until the price closes below the middle band.
- Bearish Phase : Initiated when the price closes below the lower Bollinger Band, indicating a downtrend until the price closes above the middle band.
Users can opt to exclude the neutral phase from the analysis through the indicator's settings for a more focused view on bullish or bearish trends.
Indicator Customization
The swing indicator is versatile, allowing users to customize the time frames and phase visibility according to their preferences. This feature ensures that traders can tailor the indicator to match their specific analysis needs and trading strategies.
Considerations
- The signals provided by the swing indicator are not symmetrically designed for both buy and sell actions. The indicator primarily optimizes for identifying long positions, particularly in bull markets. The sell signals are intended for exiting existing long positions rather than for short selling.
Pivot Length BandsPivot Length Bands Indicator
Description:
The Pivot Length Bands indicator is designed to visualize price volatility based on pivot points and ATR-adjusted pivot points. I. These bands can help traders identify potential support and resistance levels and assess the current volatility of the market.
Inputs:
Swing Length: The length of the swing used to calculate the pivot points and average true range.
Pivot Length Left Hand Side: The number of candles to the left of the current pivot point to consider when calculating the pivot high and low.
Pivot Length Right Hand Side: The number of candles to the right of the current pivot point to consider when calculating the pivot high and low.
Usage:
Traders can use the bands as potential levels for placing stop-loss orders or profit targets.
The width of the bands adjusts dynamically based on the current volatility of the market.
Note:
This indicator is best used in conjunction with other technical analysis tools and should not be relied upon as a standalone trading signal.
EXAMPLE 1:
Entry:
Exit:
EXAMPLE 2:
Entry:
Exit:
MTF BB+KC Avg
Bollinger Bands (BB) are a widely used technical analysis created by John Bollinger in the early 1980’s. Bollinger Bands consist of a band of three lines which are plotted in relation to instrument prices. The line in the middle is usually a Simple Moving Average (SMA) set to a period of 20 days (The type of trend line and period can be changed by the trader; however a 20 day moving average is by far the most popular). This indicator does not plot the middle line. The Upper and Lower Bands are used as a way to measure volatility by observing the relationship between the Bands and price. Typically the Upper and Lower Bands are set to two standard deviations away from the middle line, however the number of standard deviations can also be adjusted in the indicator.
Keltner Channels (KC) are banded lines similar to Bollinger Bands and Moving Average Envelopes. They consist of an Upper Envelope above a Middle Line (not plotted in this indicator) as well as a Lower Envelope below the Middle Line. The Middle Line is a moving average of price over a user-defined time period. Either a simple moving average or an exponential moving average are typically used. The Upper and Lower Envelopes are set a (user-defined multiple) of a range away from the Middle Line. This can be a multiple of the daily high/low range, or more commonly a multiple of the Average True Range.
This indicator is built on AVERAGING the BB and KC values for each bar, so you have an efficient metric of AVERAGE volatility. The indicator visualizes changes in volatility which is of course dynamic.
What to look for
High/Low Prices
One thing that must be understood about this indicator's plots is that it averages by adding BB levels to KC levels and dividing by 2. So the plots provide a relative definition of high and low from two very popular indicators. Prices are almost always within the upper and lower bands. Therefore, when prices move up near the upper or lower bands or even break through the band, many traders would see that price action as OVER-EXTENDED (either overbought or oversold, as applicable). This would preset a possible selling or buying opportunity.
Cycling Between Expansion and Contraction
Volatility can generally be seen as a cycle. Typically periods of time with low volatility and steady or sideways prices (known as contraction) are followed by period of expansion. Expansion is a period of time characterized by high volatility and moving prices. Periods of expansion are then generally followed by periods of contraction. It is a cycle in which traders can be better prepared to navigate by using Bollinger Bands because of the indicators ability to monitor ever changing volatility.
Walking the Bands
Of course, just like with any indicator, there are exceptions to every rule and plenty of examples where what is expected to happen, does not happen. Previously, it was mentioned that price breaking above the Upper Band or breaking below the Lower band could signify a selling or buying opportunity respectively. However this is not always the case. “Walking the Bands” can occur in either a strong uptrend or a strong downtrend.
During a strong uptrend, there may be repeated instances of price touching or breaking through the Upper Band. Each time that this occurs, it is not a sell signal, it is a result of the overall strength of the move. Likewise during a strong downtrend there may be repeated instances of price touching or breaking through the Lower Band. Each time that this occurs, it is not a buy signal, it is a result of the overall strength of the move.
Keep in mind that instances of “Walking the Bands” will only occur in strong, defined uptrends or downtrends.
Inputs
TimeFrame
You can select any timeframe froom 1 minute to 12 months for the bar measured.
Length of the internal moving averages
You can select the period of time to be used in calculating the moving averages which create the base for the Upper and Lower Bands. 20 days is the default.
Basis MA Type
Determines the type of Moving Average that is applied to the basis plot line. Default is SMA and you can select EMA.
Source
Determines what data from each bar will be used in calculations. Close is the default.
StdDev/Multiplier
The number of Standard Deviations (for BB) or Multiplier (for KC) away from the moving averages that the Upper and Lower Bands should be. 2 is the default value for each indicator.
ProTrend Adaptive Indicator by TradingClueThe " ProTrend Adaptive " is an innovative trading indicator, aimed at offering traders an advanced method for detecting market trends with higher precision. This tool ingeniously integrates the principles of the Supertrend indicator with adaptive linear regression channels , enhancing its sensitivity to current market dynamics.
▯ Core Features ▯
✅ Trend Detection
At its heart, the ProTrend Adaptive utilizes a dual-approach for identifying trends. The first layer is derived from the Supertrend indicator, known for its effectiveness in highlighting ongoing trends using price average and volatility. This is visually represented by distinct red and green areas above or below the price candles, indicating bearish or bullish trends, respectively.
✅ Adaptive Linear Regression Channels
The second layer employs adaptive linear regression channels, which dynamically adjust their length based on the Average True Range (ATR), a measure of market volatility. This adaptability ensures the indicator remains attuned to changing market conditions, offering more relevant trend lines and signals.
✅ Signal Sensitivity
By leveraging the ATR not just in the Supertrend calculation but also to dynamically adjust the linear regression channels, the ProTrend Adaptive offers heightened sensitivity to market changes, ensuring traders receive timely and accurate signals.
✅ Entry Signals & Trend Strength
Entry points for potential trades are marked by triangles. Additionally, the indicator includes a feature that displays the strength of a trend through transparent bars below the candles, calculated using the Average Directional Index (ADX), providing users with valuable insight into the vigor of the trend.
▯ Importance of Adaptive Approach ▯
The adaptive nature of the ProTrend Adaptive's linear regression channels is crucial for its performance. Traditional linear regression channels are fixed in their period, which can render them less effective during periods of significant volatility shifts. By making the length of these channels responsive to the ATR, the ProTrend Adaptive ensures that the trend lines and signals it generates are always aligned with the current market context, offering traders a dynamic tool that adjusts in real-time to volatility changes.
▯ Supertrend Indicator Explained ▯
The Supertrend Indicator is a popular tool among traders for its simplicity and effectiveness in identifying market trends. It calculates the average price momentum and volatility to determine whether the market is in a bullish or bearish phase. Its visual simplicity, showing clear bullish and bearish zones, makes it an invaluable component of the ProTrend Adaptive, providing a solid foundation for trend detection upon which the adaptive linear regression channels build.
▯ Example ▯
This example illustrates several robust entry signals. These signals can seamlessly integrate into an overarching trading strategy, with exit points determined through a separate calculation. This approach allows traders to tailor their entry and exit strategies to their specific trading objectives, leveraging the ProTrend Adaptive for precise market entry while applying customized criteria for exit decisions.
Caution: Trading carries a significant risk of financial loss, and past performance does not guarantee future results. Signals may be conflicting or ambiguous. Employ risk reduction techniques, such as setting stop losses, to mitigate potential losses.
Custom spreadThis indictor allows you to plot the spread over an arbitrary period, which can be especially useful for futures and other instruments.
Inputs:
Expression : symbols for calculation and arithmetic operation
Period: from to period and timeframe
The output will show bars for the given period
Particularly useful for comparing two selected contracts on two futures
