Incomplete Session Candle - Incomplete Timeframe Candle Marker The "Incomplete Session Candle - Incomplete Timeframe Candle Marker" is an advanced tool tailored for technical analysts who understand the importance of accurate timeframes in their charting. While the indicator is not limited to the Indian market, its genesis is rooted in the nuances of trading sessions like those in India, which span 375 minutes from 9:15 AM to 3:30 PM.
Key Features:
Detects if the current timeframe is intraday (minutes or hours).
Calculates the expected duration of the candle for the chosen timeframe.
Highlights candles that don't achieve their expected session duration by placing a cross shape above the bar.
Compatible across various intraday timeframes, aiding traders in spotting discrepancies promptly.
Why We Made This: Not Just for India:
While we looked at the Indian market, this indicator works everywhere. Regular timeframes like 30 minutes, 1 hour, and 2 hours often end with incomplete candles, especially at the end of the trading day. For example:
A 30-minute timeframe makes 13 candles, but the last one is only 15 minutes long.
A 1-hour timeframe shows 7 candles, but the last one is just the last 15 minutes.
By switching to different timeframes like 25 minutes, 75 minutes, and 125 minutes, you get more complete information for better trading decisions. Learn more about this in our article: "Power of 25, 75, and 125-Minute Timeframes in the Indian Market", recognized by Trading View's Editors' Pick.
Benefits:
The indicator extends its benefits even to users without access to certain timeframes. It accommodates traders using a 1-hour timeframe (pertaining to Indian traders). By employing this indicator, traders consistently remain mindful of incomplete candles within their chosen timeframe
For those who utilize concepts like RBR, RBD, DBR, and DBD, this indicator is paramount. An incomplete candle can skew analysis, leading to potential misinterpretations of base or leg candles.
Final thoughts:
In markets like the Indian stock market, adopting such a tool is not just beneficial, but necessary. Whether you have access to unconventional timeframes or are using traditional ones, recognizing and accounting for the limitations of incomplete candles is critical & it's important to know if your candles fit the timeframe properly. This indicator gives you a better view of the market, which helps you make smarter trades.
Lastly, Thank you for your support! Your likes & comments. If you want to give any feedback then you can give in comment section.
Let's conquer the markets together!
在腳本中搜尋"smart"
HTF Oscillators RSI/ROC/MFI/CCI/AO - Dynamic SmoothingThe Interplay of Time Frames: A Balanced View
Navigating the markets often involves interpreting trends from multiple angles. The HTF Oscillators with Dynamic Smoothing indicator enables you to do just that. This tool provides the option to integrate smoothed oscillator readings from Higher Time Frames (HTF) into lower time frame charts, such as a 1-minute chart. By doing so, the indicator offers a balanced viewpoint that bridges the gap between micro and macro perspectives, helping you make informed decisions without losing sight of the broader market context.
Features
Multi-Oscillator Support
Choose from a range of popular oscillators like the Relative Strength Index (RSI), Rate of Change (ROC), Money Flow Index (MFI), Commodity Channel Index (CCI), and Awesome Oscillator (AO). These oscillators are commonly used as foundational building blocks in trading strategy scripts by traders worldwide. Switch effortlessly between them, depending on your trading strategy and requirements. To maintain consistency and a familiar user experience, our script adopts the same visual aesthetics that you'll find in Pine Script indicators on TradingView: a sleek purple line for the oscillator and a transparent band filling. These visual elements are not only pleasing to the eye but also widely appreciated by the trading community.
Dynamic Smoothing
The unique dynamic smoothing feature calculates a smoothing factor based on the ratio of minutes between the Higher Time Frame (HTF) and your current time frame. This provides a sleek and responsive oscillator line that still holds the weight of the longer trend. One of the significant advantages of this feature is user experience; when you change your time frame, the HTF-values in your settings will remain consistent. This ensures that you can easily switch between different time frames without losing the insights provided by your selected HTF.
Visual Aids
Visual cues are an essential part of any trading strategy. The indicator not only plots signals to mark overbought and oversold conditions based on the dynamically smoothed oscillator but also provides you with the flexibility to customize your visual experience. You have the option to toggle on/off the display of these signals depending on your specific needs. Additionally, bands can be displayed at overbought and oversold levels, along with a reference middle line. If you switch between different oscillators (available in the parameter settings), remember to manually adjust the bands in the input settings to ensure signals matches with the type of oscillator to your liking.
User-Friendly Settings
We've grouped related settings together, making it easier for you to find what you're looking for. Adjust the oscillator type, length of bars, smoothing settings, and more with just a few clicks.
Information Table
A standout feature of this indicator is the real-time information table, which displays the values of all selected oscillators based on your specified Higher Time Frame (HTF) settings. This can be particularly useful for traders who depend on multiple indicators for their decision-making process. The data presented in the table is synchronized with the HTF options you've configured in the input settings, allowing for a more efficient and quick scan of values from higher time frames.
Educational Corner: The Power of the Information Table and Customization
The table incorporated into this indicator isn't just eye-candy; it's a practical tool designed to elevate your trading strategy. It dynamically displays real-time values of various oscillators for the HTF you've chosen. This is an exemplary use of TradingView's scripting capabilities to blend multiple indicators into a single visual panel, streamlining your analysis and decision-making process.
But here's the best part: You're not limited to what we've created. With some basic understanding of TradingView's scripting language, Pine Script, you can easily adapt this table to include different indicators that suit your unique trading style. The logic in the script is modular and can serve as a foundation for your own customized trading dashboard. So, go ahead, get creative and explore new combinations of indicators that will help you excel in your trading endeavors!
You no longer have to toggle between different charts or indicators to get the information you need; it's all there in one neatly organized table. We encourage you to tap into this feature and make it your own, empowering your trading like never before.
By doing so, you not only gain a more comprehensive toolset, but you also engage more deeply with your trading strategy, understanding its nuances and, ultimately, making more informed decisions.
Conclusion
The HTF Oscillators with Dynamic Smoothing is a versatile and powerful tool that brings together the best of both worlds: the perspective of higher time frames and the granularity of shorter ones. Its feature-rich setting options and real-time information table make it a potential useful addition to your trading toolkit.
Remember, while this indicator offers a comprehensive and smarter way to look at the markets, it is not a foolproof method for predicting market movements. Always use it in conjunction with other analysis methods and risk management strategies.
Daylight Saving Time [Open Source]Are you tired of manually tracking daylight saving time transitions on your trading charts? Say goodbye to confusion and hello to a smarter approach with our innovative indicator.
Designed to streamline your trading experience, this indicator automatically detects and highlights the exact moments when daylight saving time shifts occur, ensuring you stay on top of time changes without the hassle.
Key Features:
Customizable Display: Choose between two distinct display modes - "Flag" or "Emoticons" - to suit your visual preference and enhance your chart's clarity.
Global Compatibility: Tailor the indicator to your region by selecting your country for daylight saving time calculations. Choose from popular options like the European Union (EU) or the United States and Canada (US_CA).
Seamless Transitions: No more guessing when daylight saving time starts or ends. Our indicator will automatically mark the transition points, helping you to avoid costly trading mistakes due to incorrect time calculations.
Background Coloring: Elevate your chart's visibility by optionally coloring the background during the transition periods. With a simple toggle, you can make sure you never miss an important shift.
Experience a new level of trading precision and accuracy with the "Daylight Saving Time Indicator". Take control of your trading strategy by focusing on the market instead of time changes. Try it now and witness the difference it makes in your trading routine!
About Daylight Saving Time:
Daylight Saving Time (DST) is a practice observed by many countries to make better use of daylight during the longer days of summer. The EU and California (US_CA) have specific rules for DST transitions:
EU DST Rules:
DST begins on the last Sunday of March.
DST ends on the last Sunday of October.
US_CA DST Rules:
DST begins on the second Sunday of March.
DST ends on the first Sunday of November.
About the code
The code is briefly commented. Please feel free to use or further customize it ... And, of course, I would be happy to be named and/or linked. If you're satisfied, maybe buy me a coffee ;-)
I'm curious to see how this indicator will develop with more ideas - Please keep me updated by commenting below or by sending me a message.
Lune Oscillator Premium⬛️ Overview
Lune Oscillator is an advanced and innovative TradingView indicator designed to enhance your market analysis. Rather than merely improving visuals or merging traditional indicators, it introduces a series of unique features, each with its unique value proposition. This script stands out due to its originality, and the significant utility it brings to traders.
🟦 Features
Oscillator features an assortment of sophisticated tools aimed at refining your trading strategies:
🔹 Trend Oscillator: This feature integrates market trend and momentum analysis into one dynamic oscillator. It's designed to facilitate market trend and momentum analysis, and is invaluable to traders as it combines both trend and momentum analysis into one tool. For instance, if a ticker shows signs of slowing momentum after a recent rally, the Trend Oscillator could predict a potential trend reversal. The Trend Oscillator’s sensitivity and velocity settings can be tailored to suit your trading style and strategy. It is developed using a custom formula similar to WaveTrend but optimized for better detection of trend and momentum shifts.
🔹 Market Peak: Market Peak identifies potential market peaks and troughs using a percentile-based system. It's aimed at detecting overextensions in the Trend Oscillator, indicating potential market reversals. Compact and user-friendly, this feature signals potential trade exit points in case of an impending market reversal. Its sensitivity can be adjusted to react to either short-term or long-term market changes. By analyzing the market's average move, it detects overbought or oversold conditions when the percentage gets too extreme.
🔹 Money Pulse: The Money Pulse feature serves as a radar for money inflow or outflow, helping users detect nascent trends and reversals. It enables traders to spot early opportunities and reversals and align their strategies with institutional and large players. For example, a bullish Money Pulse during market consolidation could signal money influx and the beginning of an accumulation phase. The sensitivity of the Market Pulse can be adapted to short-term or long-term changes. This feature employs an improved version of the Money Flow concept.
🔹 Liquidity Pulse: Liquidity Pulse provides a unique perspective of asset liquidity by tracking market inflow and outflow volumes. It assists traders in understanding the market's liquidity sentiment, which is particularly useful for long-term trades and confluence. For instance, a bullish Liquidity Pulse could signal abundant liquidity, potentially driving up the price. The sensitivity setting can be adjusted for short-term or long-term liquidity changes. This feature utilizes an enhanced version of the On-Balance Volume concept.
🔹 Institutional Wave: This feature tracks the cumulative inflow and outflow for a specific ticker, helping traders monitor institutional money flows. It enables the analysis of a ticker's accumulation and distribution, assisting in detecting early trade entries and avoiding dumps. For example, a decrease in volume during consolidation after a price rally could indicate sell-off and potential price drop. The Institutional Wave's sensitivity can be adapted to either short-term or long-term changes. It operates on the Accumulation and Distribution concept.
🔹 Power Wave: The Power Wave evaluates market strength and momentum, indicating market power shifts. It helps traders understand the true power behind a market move. For instance, a decreasing Power Wave during a bullish move could indicate a weakening trend, suggesting a bearish strategy instead. The sensitivity of the Power Wave can be set for short-term or long-term market changes. The Power Wave calculates market strength by evaluating price change volatility.
🔹 Market Pressure: This feature detects shifts in buy and sell pressure, signaling potential turning points. It helps traders understand the power balance in the market. For example, a bullish Market Pressure shift during a short trade could suggest a momentum gain by bulls, indicating a trade exit. The Market Pressure's sensitivity can be adjusted for short-term or long-term changes. This feature uses volume data and moving averages to detect market pressure shifts, filtering out false and volatile signals.
🔹 Oscillator Copilot: Incorporating Smart Bias and Reversal Radar, the Oscillator Copilot helps identify market trends and potential reversals. It searches for confluence within multiple Oscillator features, providing a straightforward assistive tool. For example, a bullish Smart Bias signal during a long trade could suggest staying in the trade longer, while a bearish Reversal Radar signal could indicate the need to exit the trade.
🔹 Divergence Detection: This feature offers a sophisticated detection system for both regular and hidden market divergences, providing additional confluence and highlighting hard-to-detect divergences. For instance, a bullish Regular Divergence could signal a potential trade entry or exit depending on your overall market sentiment and bias. This feature uses fractals to effectively detect divergences in the market based on the Trend Oscillator.
🔹 Color Themes: Personalize your charting experience with various color themes. This feature enhances the visual appeal of your chart, offering easy setup and use. For example, use the “Ice” theme for a unique and colorful experience or the “Dark” theme for a more subdued look. Themes available include Default, Light, Dark, and Ice. This feature modifies the colors of your candles and features based on the selected theme.
These features and tools collectively offer a comprehensive solution for traders to understand and navigate the financial markets. It's important to remember that they are designed to assist in making informed trading decisions and should be used as part of a balanced trading strategy.
🟧 Usage
Lune Oscillator's features are designed to be both standalone tools and components of a larger, integrated trading strategy. It is important to understand each feature and experiment with different configurations to best suit your unique trading needs.
🔸 Example #1: The following demonstrates how the Oscillator Copilot can be an excellent trade assistant.
The Oscillator Copilot leverages multiple Lune Oscillator features, allowing traders to quickly assess overall market sentiment. It uses Smart Bias and Reversal Radar tools to deliver these insights. For instance, at point 1, a bullish Smart Bias (denoted by a green circle) represents a collective bullish sentiment from multiple components of Lune Oscillator, often leading to a price increase. Conversely, at point 2, we identify two bearish reversal signals from the Reversal Radar (highlighted by red triangles). This convergence of bearish signals from multiple components hints at a potential market reversal, often followed by a gradual price decline.
🔸 Example #2: This example shows how the Market Peak feature can aid in detecting potential market tops and bottoms.
Market Peak calculates how overbought or oversold a ticker is using a percentile system, offering insights into potential reversals. At points 1 and 2, we observe bearish Market Peaks suggesting overbought conditions and indicating a possible shift in trend. Subsequent to these peaks, we witness a price drop, mirroring the overbought market conditions. In contrast, at point 3, a bullish Market Peak suggests an oversold market, indicating a potential trend reversal and subsequent price increase.
🔸 Example #3: This is an example of how combining various features such as the Money Pulse, Liquidity Pulse, Institutional Wave, and Market Peak, can help make more informed trades.
Money Pulse and Liquidity Pulse provide insights into the money and liquidity flow in the market, respectively, while the Institutional Wave monitors the cumulative volume shifts and changes. Together with Market Peak, they offer a comprehensive view of the market's state.
At point 1, the positive Liquidity Wave (crossing above 0) suggests a bullish market volume. At point 2, a bullish Market Pressure indicates an increase in buying pressure, reinforcing the bullish sentiment. At point 3, a negative Liquidity Wave (crossing below 0) indicates a bearish sentiment, suggesting that market participants are exiting their positions. The concurrent Market Pressure hints at an increase in selling activity. Taking all these factors into account provides a strong indicator that the market sentiment has turned bearish.
🟥 Conclusion
Lune Oscillator aims to provide a suite of tools that bring unique value to traders. Each feature is designed to offer different, yet complementary, perspectives on the market, allowing users to piece together a more comprehensive understanding of their trading environment.
🔻 Access
You can see the Author's instructions below to get instant access to this indicator & our Premium Suite.
🔻 Disclaimer
Lune Oscillator is a tool for aiding in market analysis and is not a guarantee of future market performance or individual trading success. We strongly recommend that users combine our tool with their trading strategies and do their due diligence before making any trading decisions.
Remember, past performance is not indicative of future results. Please trade responsibly.
Price based concepts / quantifytools- Overview
Price based concepts incorporates a collection of multiple price action based concepts. Main component of the script is market structure, on top of which liquidity sweeps and deviations are built on, leaving imbalances the only standalone concept included. Each concept can be enabled/disabled separately for creating a selection of indications that one deems relevant for their purposes. Price based concepts are quantified using metrics that measure their expected behavior, such as historical likelihood of supportive price action for given market structure state and volume traded at liquidity sweeps. The concepts principally work on any chart, whether that is equities, currencies, cryptocurrencies or commodities, charts with volume data or no volume data. Essentially any asset that can be considered an ordinary speculative asset. The concepts also work on any timeframe, from second charts to monthly charts. None of the indications are repainted.
Market structure
Market structure is an analysis of support/resistance levels (pivots) and their position relative to each other. Market structure is considered to be bullish on a series of higher highs/higher lows and bearish on a series of lower highs/lower lows. Market structure shifts from bullish to bearish and vice versa on a break of the most recent pivot high/low, indicating weak ability to defend a key level from the dominating side. Supportive market structure typically provides lengthier and sustained trending environment, making it an ideal point of confluence for establishing directional bias for trades.
Liquidity sweeps
Liquidity sweeps are formed when price exceeds a pivot level that served as a provable level of demand once and is expected to display demand again when revisited. A simple way to look at liquidity sweeps is re-tests of untapped support/resistance levels.
Deviations
Deviations are formed when price exceeds a reference level (market structure shift level/liquidity sweep level) and shortly closes back in, leaving participating breakout traders in an awkward position. On further adverse movement, stuck breakout traders are forced to cover their underwater positions, creating ideal conditions for a lengthier reversal.
Imbalances
Imbalances, also known as fair value gaps or single prints, depict areas of inefficient and one sided transacting. Given inclination for markets to trade efficiently, price is naturally attracted to areas that lack proper participation, making imbalances ideal targets for entries or exits.
Key takeaways
- Price based concepts consists of market structure, liquidity sweeps, deviations and imbalances.
- Market structure shifts from bullish to bearish and vice versa on a break of the most recent pivot high/low, indicating weak ability to defend a key level from the dominating side.
- Supportive market structure tends to provide lengthier and sustained movement for the dominating side, making it an ideal foundation for establishing directional bias for trades.
- Liquidity sweeps are formed when price exceeds an untapped support/resistance level that served as a provable level of demand in the past, likely to show demand again when revisited.
- Deviations are formed when price exceeds a key level and shortly closes back in, leaving breakout traders in an awkward position. Further adverse movement compels trapped participants to cover their positions, creating ideal conditions for a reversal.
- Imbalances depict areas of inefficient and one sided transacting where price is naturally attracted to, making them ideal targets for entries or exits.
- Price based concepts are quantified using metrics that measure expected behavior, such as historical likelihood of supportive structure and volume traded at liquidity sweeps.
- For practical guide with practical examples, see last section.
Accessing script 🔑
See "Author's instructions" section, found at bottom of the script page.
Disclaimer
Price based concepts are not buy/sell signals, a standalone trading strategy or financial advice. They also do not substitute knowing how to trade. Example charts and ideas shown for use cases are textbook examples under ideal conditions, not guaranteed to repeat as they are presented. Price based concepts notify when a set of conditions are in place from a purely technical standpoint. Price based concepts should be viewed as one tool providing one kind of evidence, to be used in conjunction with other means of analysis.
Price based concepts are backtested using metrics that reasonably depict their expected behaviour, such as historical likelihood of supportive price movement on each market structure state. The metrics are not intended to be elaborate and perfect, but to serve as a general barometer for feedback created by the indications. Backtesting is done first and foremost to exclude scenarios where the concepts clearly don't work or work suboptimally, in which case they can't be considered as valid evidence. Even when the metrics indicate historical reactions of good quality, price impact can and inevitably does deviate from the expected. Past results do not guarantee future performance.
- Example charts
Chart #1 : BTCUSDT
Chart #2 : EURUSD
Chart #3 : ES futures
Chart #4 : NG futures
Chart #5 : Custom timeframes
- Concepts
Market structure
Knowing when price has truly pivoted is much harder than it might seem at first. In this script, pivots are determined using a custom formula based on volatility adjusted average price, a fundamentally different approach to the widely used highest/lowest price within X amount of bars. The script calculates average price within set period and adjusts it to volatility. Using this formula, the script determines when price has turned significantly enough and aggressively enough to constitute a relevant pivot, resulting in high accuracy while ruling out subjective decision making completely. Users can adjust length of market structure basis and sensitivity of volatility adjustment to achieve desired magnitude of pivots, reflected on the average swing metrics. Note that structure pivots are backpainted. Typical confirmation time for a pivot is within 2-3 bars after peak in price.
Market structure shifts
Generally speaking, traders consider market structure to have shifted when most recent structure high/low gets taken out, flipping underlying bias from one side over to the other (e.g. from bullish structure favoring upside to bearish structure favoring downside). However, there are many ways to approach the concept and the most popular method might not always be the best one. Users can determine their own market structure shift rules by choosing source (close, high, low, ohlc4 etc.) for determining structure shift. Users can also choose additional rules for structure shift, such as two consecutive closes above/below pivot to qualify as a valid shift.
Liquidity sweeps
Users can set maximum amount of bars liquidity levels are considered relevant from the moment of confirmed pivot. By default liquidity levels are monitored for 250 bars and then discarded. Level of tolerance can be set to anything between 100 and 1000 bars. For each liquidity sweep, relative volume (volume relative to volume moving average) is stored and added to average calculations for keeping track of typical depth of liquidity found at sweeps.
Deviations
Users can set a maximum amount of bars price has to spend above/below reference level to consider a deviation to be in place. By default set to 6 bars.
Imbalances
Users can set a desired fill point for imbalances using the following options: 100%, 75%, 50%, 25%. Users can also opt for excluding insignificant imbalances to attain better relevance in indications.
- Backtesting
Built-in backtesting is based on metrics that are considered to reasonably quantify expected behaviour of the main concept, market structure. Structure feedback is monitored using two metrics, supportive structure and structure period gain. Rest of the metrics provided are informational in nature, such as average swing and average relative volume traded at liquidity sweeps. Main purpose of the metrics is to form a general barometer for monitoring whether or not the concepts can be viewed as valid evidence. When the concepts are clearly not working optimally, one should adjust expectations accordingly or take action to improve performance. To make any valid conclusions of performance, sample size should also be significant enough to eliminate randomness effectively. If sample size on any individual chart is insufficient, one should view feedback scores on multiple correlating and comparable charts to make up for the loss.
For more elaborate backtesting, price based concepts can be used in any other script that has a source input, including fully mechanic strategies utilizing Tradingview's native backtester. Each concept and their indications (e.g. higher low on a bearish structure, lower high on a bullish structure, market structure shift up, imbalance filled etc.) can be utilized separately and used as a component in a backtesting script of your choice.
Structure feedback
Structure feedback is monitored using two metrics, likelihood of supportive price movement following a market structure shift and average structure period gain. If either of the two employed tests indicate failed reactions beyond a tolerable level, one should take action to improve feedback by adjusting the settings. If feedback metrics after adjusting the settings are still insufficient, the concepts are working suboptimally for the given chart and cannot be regarded as valid technical evidence as they are.
Metric #1 : Supportive structure
Each structure pivot is benchmarked against its respective structure shift level. Feedback is considered successful if structure pivot takes place above market structure shift level (in the case of bullish structure) or below market structure shift level (in the case of bearish structure). Structure feedback constitutes as one test indicating how often a market structure state results in price movement that can be considered supportive.
Metric #2 : Structure period gain
Each structure period is expected to present favorable appreciation, measured from one market structure shift level to another. E.g. bullish structure period gain is measured from market structure shift up level to market structure shift down level that ends the bullish structure period. Bearish structure is measured in a vice versa manner, from market structure shift down level to market structure shift up level that ends the bearish structure period. Feedback is considered successful if average structure period gain is supportive for a given structure (positive for bullish structure, negative for bearish structure).
Additional metrics
On top of structure feedback metrics, percentage gain for each swing (distance between a pivot to previous pivot) is recorded and stored to average calculations. Average swing calculations shed light on typical pivot magnitude for better understanding changes made in market structure settings. Average relative volume traded at liquidity sweep on the other hand gives a clue of depth of liquidity typically found on a sweeps.
Feedback scores
When market structure (basis for most concepts) is working optimally, quality threshold for both feedback metrics are met. By default, threshold for supportive structure is set to 66%, indicating valid feedback on 2/3 of backtesting periods on average. On top, average structure period gain needs to be positive (for bullish structures) and negative (for bearish structure) to qualify as valid feedback. When both tests are passed, a tick indicating valid feedback will appear next to feedback scores, otherwise an exclamation mark indicating suboptimal performance on either or both. If both or either test fail, market structure parameters need to be optimized for better performance or one needs to adjust expectations accordingly.
Verifying backtest calculations
Backtest metrics can be toggled on via input menu, separately for bullish and bearish structure. When toggled on, both cumulative and average counters used in backtesting will appear on "Data Window" tab. Calculation states are shown at a point in time where cursor is hovered. E.g. when hovering cursor on 4th of January 2021, backtest calculations as they were during this date will be shown.
- Alerts
Available alerts are the following.
- HH/HL/LH/LL/EQL/EQH on a bullish/bearish structure
- Bullish/bearish market structure shift
- Bullish/bearish imbalance created
- Bullish/bearish imbalance filled
- Bullish/bearish liquidity sweep
- Bullish/bearish deviation
- Visuals
Each concept can be enabled/disabled separately for creating a selection indications that one deems relevant for their purposes. On top, each concept has a stealth visual option for more discreet visuals.
Unfilled imbalances and untapped liquidity levels can be extended forward to better gauge key areas of interest.
Liquidity sweeps have an intensity option, using color and width to visualize volume traded at sweep.
Market structure states and market structure shifts can be visualized as chart color.
Metric table can be offsetted horizontally or vertically from any four corners of the chart, allowing space for tables from other scripts.
Table sizes, label sizes and colors are fully customizable via input menu.
- Practical guide
The basic idea behind market structure is that a side (bulls or bears) have shown significant weakness on a failed attempt to defend a key level (most recent pivot high/low). In the same way, a side has shown significant strength on a successful attempt to break through a key level. This successful break through a key level often leads to sustained lengthier movement for the side that provably has the upper hand, making it an ideal tool for establishing directional bias.
Multi-timeframe view of market structure provides crucial guidance for analyzing market structure states on any individual timeframe. If higher timeframe market structure is bullish, it doesn't make sense to expect contradicting lower timeframe market structure to provide significant adverse movement, but rather a normal correction within a long term trend. In the same way, if lower timeframe market structure is in agreement with higher timeframe market structure, one can expect a reliable trending environment to ensue as multiple points of confluence are in place.
Bullish structure can be considered constructive on a series of higher highs and higher lows, indicating strong interest from bulls to sustain an uptrend. Vice versa is true for bearish structure, a series of lower highs and lower lows can be considered constructive. When structure does not indicate strong interest to maintain a supportive trend (lower highs on bullish structure, higher lows on bearish structure), a structure shift and a turn in trend might be nearing.
Market structure shifts are of great interest for breakout traders who position for continuation. Structure shifts can indeed be fertile ground for executing a breakout trade, but breakouts can easily turn into fakeouts that leave participants in an awkward position. When price moves further away from the underwater participants, potential for snowball effect of covering positions and driving price further away is elevated.
Liquidity sweeps as a concept is based on the premise that pivoting price is evidence of meaningful depth of liquidity found at/around pivot. If liquidity existed at a pivot once, it is likely to exist there in the future as well. When price grinds against liquidity, it is on a path of resistance rather than path of least resistance. Pivots are also attractive placements for traders to set stop-losses, which act as fuel for price to move to the opposite direction when swept and triggered.
Behind tightly formed pivots are potentially many stop-loss orders lulled in the comfort of having many layers of levels protecting their position. Compression that leaves such clusters of unswept liquidity rarely goes unvisited.
As markets strive for efficient and proper transacting most of the time, imbalances serve as points in price where price is naturally attracted to. However, imbalances too are contextual and sometimes one sided trading is rewarded with follow through, rather than with a fill. Identifying market regimes give further clue into what to expect from imbalances. In a ranging environment, one can expect imbalances to fill relatively quick, making them ideal targets for entries and exits.
On a strongly trending environment on the other hand imbalances tend to stick for a much longer time. In such environments continuation can be expected with no fills or only partial fills. Signs of demand preventing fill attempts serve as additional clues for imminent continuation.
SMT Divergences [LuxAlgo]The SMT Divergences indicator highlights SMT divergences between the chart symbol and two user-selected tickers (ES and YM by default).
A dashboard returning the SMT divergences statistics is also provided within the settings.
🔶 SETTINGS
Swing Lookback: Calculation window used to detect swing points.
Comparison Ticker: If enabled, will detect SMT divergences between the chart prices and the prices of the selected ticker.
🔹 Dashboard
Show Dashboard: Displays statistics dashboard on the chart.
Location: Location of the dashboard on the chart.
Size: Size of the displayed dashboard.
🔶 USAGE
SMT Divergences are characterized by diverging swing points between two securities.
The detection of SMT Divergences is performed by detecting swing points using the user chart prices as well as the prices of the selected external tickers. If a swing point on the chart ticker is detected at the same time on external tickers, comparison is performed.
Due to the detection requiring swing point confirmation (3 candles by default), this indicator can better be used to study price behaviors on the occurrence of an SMT divergence.
The dashboard highlights the number of SMT divergences that occurred on a swing high and swing low between the chart ticker and the selected external tickers.
The returned percentage indicates the proportion of swing highs or swing lows that led to an SMT divergence.
SME Backtesting [TFO]This strategy script is an extension of my Smart Money Essentials (SME) indicator and aims to provide a simplified means of backtesting complex trade models that incorporate a variety of Smart Money Concepts.
Among other things, Smart Money Essentials contains logic for:
- Market structure
- Fair Value Gaps
- Order Blocks
- Breaker Blocks
- Optimal Trade Entries
- HTF Market Structure
The Confluence section can then be utilized to build and test trade models from any combination of the included factors. As a basic example, we could test a strategy that only utilizes market structure. With Manual Exit turned off, we would simply be flipping long on bullish market structure shifts, and reversing short on bearish market structure shifts for the duration of the user-defined session.
As one might expect, such a simple strategy isn't expected to produce very reliable results by itself. However, we could build on these ideas by adding extra layers of Confluence, like looking for entries where Market Structure aligns with Order Block interactions. We could also turn on Manual Exit with a 40 tick stop loss and 80 tick profit target (10 points and 20 points, respectively, for ES futures), for more defined exit criteria.
One could expand on these ideas by adding factors like Fair Value Gaps, HTF Market Structure, etc. Any of the core pieces of SME can be used to build and backtest strategies that would otherwise be extremely tedious to do by hand, and as the SME indicator grows, so too will this backtesting script. Ultimately, the purpose of this is to make Smart Money Concepts more objective and easily testable so that users may better understand where these concepts may perform best.
TASC 2023.05 Cong Adaptive Moving Average█ OVERVIEW
TASC's May 2023 edition of Traders' Tips features an article titled "An Adaptive Moving Average For Swing Trading" by Scott Cong. The article presents a new adaptive moving average (AMA) that adjusts its parameters automatically based on market volatility. The AMA tracks price closely during trending movements and remains flat during congestion areas.
█ CONCEPTS
Conventional moving averages (MAs) use a fixed lookback period, which may lead to limited performance in constantly changing market conditions. Perry Kaufman's adaptive moving average , first described in his 1995 book Smarter Trading, is a great example of how an AMA can self-adjust to adapt to changing environments. Scott Cong draws inspiration from Kaufman's approach and proposes a new way to calculate the AMA smoothing factor.
█ CALCULATIONS
Following Perry Kaufman's approach, Scott Cong's AMA is calculated progressively as:
AMA = α * Close + (1 − α) * AMA(1),
where:
Close = Close of the current bar
AMA(1) = AMA value of the previous bar
α = Smoothing factor between 0 and 1, defined by the lookback period
The smoothing factor determines the performance of AMA. In Cong's approach, it is calculated as:
α = Result / Effort,
where:
Result = Highest price of the n period − Lowest price of the n period
Effort = Sum(TR, n ), where TR stands for Wilder’s true range values of individual bars of the n period
n = Lookback period
As the price range is always no greater than the total journey, α is ensured to be between 0 and 1.
Trendmaster - Crypto Flow IndexWhat it is:
The Trendmaster Crypto Flow Index is a unique tool designed to give you an overview of the performance of different Crypto market sectors and sub-sectors. It helps you to identify where you should be focusing your investments for maximum portfolio efficiency and profitability.
What it does:
The Crypto Flow Index presents a visual overview of the flows of retail and institutional capital into the four main market sectors: Large Caps, Alts Coins, Shit Coins, and Stable Coins as well as several other sub-sectors. Each sector is assigned a "Flow Score", which indicates its current performance, demand, and strength in percentage terms. The "Flow Score" also provides insights into the current stage of the market cycle and the typical over and underperformances of assets that correlate to it. Additionally, the index factors in the sector have a "Correlation" to the broader market, allowing you to see the best sectors for trading and investing, either for positional hedging or differential plays.
How to Use it:
To use the Trendmaster Crypto Flow Index, you can simply observe the evolving colored line within the indicator and the table overview. You can identify which sectors are outperforming or underperforming the general market and make informed decisions about where to direct your focus and funds. By monitoring the transitions of Flow between sectors, you can gain invaluable insights into the market cycle and the typical over and underperformances of assets that correlate to it. This information will help you to maximize portfolio efficiency by targeting different market sectors based on their performance to the overall cryptocurrency market. The index covers different sectors, including Large caps, Alts, Shit, Stables, AI, Defi, Dex, Exchange, Gaming, Meme, Metaverse, Nft, Privacy, Smart, and Sports.
Examples of Cryptocurrencies represented in the different market sectors:
Large caps: The biggest market cap cryptocurrencies such as BTC and ETH.
Alts: High-cap and high-volume digital assets that are smaller than large caps, such as LTC and XRP.
Shit coins: Smaller cap projects that are highly speculative and experience significant price volatility, such as BAT and HOT.
Stables: Fiat-pegged assets that provide a stable value, such as USDT and USDC.
AI: Projects that are based on artificial intelligence, such as FET and AGIX.
DeFi: Leverages high volume smart contract platforms to provide financial products in crypto, mainly ERC20 tokens such as LINK and AAVE.
DEX: Decentralized exchanges with their own utility tokens, such as UNI and SUSHI.
Exchange: Centralized exchanges with their own utility tokens, such as BNB and CRO.
Gaming: Web3/crypto gaming platforms with their own utility tokens, such as AXS and GMT.
Meme: Similar to shit coins, but with no real functionality and based purely on social media and memes, such as DOGE and SHIB.
Metaverse: Projects that aim to provide Metaverse assets such as virtual land and assets, such as MANA and SAND.
NFT: Non-fungible tokens with their own token or NFT-based platforms that have their own utility tokens, such as APE and LOOKS.
Privacy: Anonymous and privacy-focused chains, such as XMR and ZEC.
Smart: Projects that provide smart contract alternatives to ETH, such as ADA and AVAX.
Sports: Fan tokens based on real-world sports teams or platforms that support and distribute them, such as CHZ and FLOW.
Liquidity Candles with Prev Day High/Low and Midnight OpenAlright, let's talk about how to use this fancy indicator. But first, let me warn you, using indicators is like driving a car, you can't just press the gas pedal and hope for the best. You need to know what you're doing, or else you'll crash and burn faster than a soufflé in a microwave.
Now, let's get started. The first thing you need to do is understand what this indicator is telling you. Think of it like a signalman at a train station. He's waving flags and giving hand signals to tell you whether it's safe to proceed or if you need to stop and wait. This indicator works the same way.
It's going to give you signals based on price movements, telling you whether it's safe to buy or sell. But don't get too excited, my friend. You still need to use your brain and make smart decisions. Don't just blindly follow the signals, or else you'll end up like a sheep being led to the slaughter.
Now, let's talk about some of ICT's smart money trading concepts. First up, we have "liquidity grabs". This is when the big boys in the market create false breakouts to shake out the weak hands. They're like school bullies stealing lunch money from the little kids. But you can avoid being a victim by watching for signs of a liquidity grab, and using your brain to decide whether it's a real breakout or just a trap.
Next up, we have "stop runs". This is when the big players purposely trigger stop-loss orders to get a better entry or exit. It's like a game of chicken, but with your money on the line. To avoid being run over, keep an eye on your stop-loss orders, and don't be too predictable in your trading.
Finally, we have "market structure". This is like the blueprint of the market, showing you where the support and resistance levels are. It's like a treasure map to finding the best trades. But don't forget that market structure can change over time, so keep updating your map and stay ahead of the game.
So there you have it, my friend. A quick tutorial on using this indicator, with a side of ICT's smart money trading concepts. But remember, indicators are just tools, and you're the one driving the car. Use your brain, stay alert, and don't be a sheep. Happy trading!
Divergent Trades LLC:
Disclaimer: The information provided by the Divergent Trades LLC indicator is for educational and informational purposes only. It should not be considered financial advice or a recommendation to buy, sell, or trade any financial instrument. Divergent Trades LLC is not responsible for any losses incurred as a result of using this indicator. Trading in the financial markets carries a high level of risk and may not be suitable for all investors. Before making any investment decisions, please consult with a financial advisor and do your own due diligence. Past performance is not indicative of future results. By using the Divergent Trades LLC indicator, you acknowledge that you have read and understand this disclaimer and agree to its terms and conditions.
Paradigm Trades_VPA Swing IndicatorThe indicator is designed to identify specific patterns in price and volume movements that can signal potential trading opportunities. It does this by calculating several conditions based on the current bar's price and volume movements.
The code defines five conditions: Narrow Spread Up Bar, Wide Spread Down Bar, No Demand Bar, No Selling Bar, and Churning. These conditions are then plotted on the chart using specific shapes and colors. The code also includes alert conditions for each of the signals, which can be used to generate alerts for traders when a particular pattern is identified.
The VPA Swing Indicator can be used as part of a swing trading strategy to identify potential buy or sell signals. For example, a Narrow Spread Up Bar may indicate bullish momentum, while a Wide Spread Down Bar may indicate bearish momentum. Traders can use these signals to make informed trading decisions and manage their risk accordingly.
Legend:
Spread Up Bar: This is a bullish bar with a small spread, indicating a lack of selling pressure and strong buying activity.
Wide Spread Down Bar: This is a bearish bar with a large spread, indicating strong selling pressure and weak buying activity.
No Demand Bar: This is a bearish bar with a small spread and low volume, indicating a lack of buying interest and the smart money selling off their positions.
No Selling Bar: This is a bullish bar with a small spread and low volume, indicating a lack of selling interest and the smart money buying up positions.
Churning: This is a sideways market with narrow spread bars and low volume, indicating the smart money is distributing shares to the retail traders.
Simple Dominance Momentum IndicatorThe Simple Dominance Momentum Indicator is a powerful tool for tracking market trends in the world of cryptocurrency. By analyzing the relationship between dominance and market movement, this indicator helps traders identify when money is flowing into or out of the market.
Using the pane structure on TradingView, the Dominance Momentum Indicator makes it easy to visualize and track data from CryptoCap charts. Whether you're a seasoned investor or starting out, this indicator can help you make more informed trading decisions.
All this indicator does is create the pane with a line chart using the Dominance charts to allow you to see the data with one button instead of doing it all manually. However with the addition to allow it to toggle between crypto and stables, so if you are using a /BTC pair, you don't have to add a new pane on, it automatically converts. If you are looking at USDT pairs for example, it will highlight that one for you.
While it can work under any conditions, the Dominance Momentum Indicator is particularly effective on higher timeframes, providing valuable insight into the overall plot of the market trend. With a 55EMA and a faster-moving average of 21EMA, this indicator is designed to help you stay ahead of the curve and make smarter trading decisions.
Remember the golden rule for stablecoin dominance. Down = good, and up = bad; however, you can just invert the indicator, so it flows with the market.
When it comes to the dominance of individual cryptocurrencies, for example, DOT.D, you might find that it going up = increasing dominance is STRENGTH. If the dominance of that is increasing it means it's growing.
Creator Credit: Jamie Goodland
Cong Adaptive Moving AverageDr. Scott Cong's new adaptation of an adaptive moving average (AMA), featured in TASC March 2023.
It adjusts its parameters automatically according to the volatility of market, tracking price closely in trending movement, staying flat in congestion areas.
Perry Kaufman’s adaptive moving average, first described in his 1995 book Smarter Trading, is a great example of how an AMA can self-adjust to adapt to changing environments. This indicator presents a new scheme for an adaptive moving average that is responsive, smooth, and robust.
LuBotINTRODUCTION
This indicator was born from a personal need to have everything needed in one place and to allow any trader to see the market as I see it, so that everyone, even the novice trader, immediately feels at ease as I do me when I look at the graphs.
Over time I have also developed other indicators which I associate with the LuBot, however it is designed to be used as a standalone indicator which can suit any trading style.
Of course, no indicator or strategy can predict the future. Only a good mindset and good money management can lead you to be a consistently profitable trader in the long run. Which is why together with the indicator I will provide further examples of use with personal insights and thoughts about my way of seeing the market.
Below you will find everything you need to understand what you will get with this indicator and how to use it, but there are so many configurations that you can do that could make you find a better setup than mine as each of us has different needs and different timing.
Some of us don't mind keeping positions open overnight and others want to close everything by the end of the day. There are those who look at charts with very low timeframes and those like me who prefer to look at higher timeframes like the Daily for reasons of practicality and more "relaxed" timing.
Because of this I don't want to limit the use of the indicator to what is my way of using it. Each of us has different needs, and this indicator is used to show you the way forward and satisfy your needs.
WHAT IS LuBot?
LuBot is a multi-piece indicator that provides any trader with everything they need to trade in one place.
The idea is to make it easier to see the market and give everyone the opportunity to start trading with a simple method that is within everyone's reach.
The LuBot indicator works on any TradingView chart and timeframe and includes several basic components including:
- Long and Short signals: distinguishable in SwingSignals and MultiSignals.
SwingSignals have an alternating Long-Short sequence. The logic of these signals is to indicate the trend to follow which, if supported by the other components, allows inputs in favor of swings. MultiSignals signals add intermediate signals to favor entry even on a single signal and could be used both to add further confirmation to the trend-following trade and for scalping, thus exiting the trade as soon as possible.
- Reversal Bands : placed at the ends of the chart, they indicate an area of probable price reversal (overbought and oversold areas). They are divided into colored bands each of which increases its repelling force as the intensity of the color increases. If the price crosses an extreme we expect an even stronger reversal.
- Customizable Moving Averages : 3 in total which can be modified in length, source and type of moving average (ema, sma, wma, etc.). By default I have entered the settings that I use personally.
- Trend Cloud : colored band according to the trend. By default the colors are green for bullish trend, red for bearish trend and gray for sideways/neutral phase. Coupled with moving averages they are a perfect tool to better follow the trend.
- Swings : shows swings on the chart so you can better understand their structure and refine trend tracking. Excellent as reference points for new trades.
- Reversal Signals : small signals shown as arrows above and below the chart. Those above appear when the price is overbought, conversely those below appear when the price is oversold. They are not entry inputs but they help for both entry and exit of the trade.
- Trend Candles : the candles are colored according to the trend defined in the code. Additional support to avoid entering against the trend or to exit the market when the trend reverses.
- Supports and Resistances : supply and demand levels will appear automatically and will update over time. They take the pivot points as references and it is possible to modify their period. A higher value will show wider levels, a lower value will show levels based on the latest price movements.
- Trend Channel : Show an automatic trend channel based on the period entered in the settings. A value of 100 will show a channel based on the price average of the last 100 candles.
- Alerts : finally we find the alerts both for Long and Short signals and for the appearance of a new swing. Before activating alerts, make sure you have chosen the signal settings you prefer so that you only receive that type of alert. The alert will adapt to the parameters you have chosen and will notify you whenever a new signal or swing appears. The "Any function alert" will alert you whenever a Long or Short SwingSignals appear.
SIGNAL SETTINGS
These are the signal setting modes.
First we open the indicator settings by clicking on the gear in the upper left next to the indicator name, or by double clicking on one of the indicator components in the chart.
At this point a menu will open in which the various components appear in an orderly manner.
The first group concerns the signal settings.
The first item indicates the Signal Type in which we can choose whether to display the SwingSignals or MultiSignals signals.
The second item indicates the Signal Style in which we can choose a value from 0 to 3.
Value 0 will show all signals not filtered by the trend. The value 1 will add a first trend filter and increase the restriction on the trend by increasing the value.
Next we find 3 selectable boxes called Limit Signals.
Each of these boxes will add further filters to the signals in order to limit the signals in periods of laterality and to avoid an excess of signals shown on the chart.
By acting on these settings we could find the right setup that best suits our needs.
Finally, the last modifiable parameter concerns the display of the last signals which by default is set to 3000. This means that all the signals in the last 3000 candles will be displayed on the chart.
HOW I USE IT
As I wrote above my favorite timeframe is the Daily. This timeframe allows me to study the market very calmly and gives me all the time necessary to decide how to behave on the market. Furthermore, the Daily timeframe fits perfectly with my vision of trading, which is the one that allows you to have time for yourself instead of working all day and not being able to devote yourself to family or other businesses.
In this way I observe the market only in the morning or in the evening and thanks to this indicator I can make decisions very quickly unlike when I had to analyze chart by chart with other manual tools. Moreover, thanks to this configuration I can easily do everything from my smartphone. You don't know what satisfaction it feels like to sit comfortably on your sofa in the evening and observe the markets from your mobile phone and open and close trades thanks to this indicator.
Now let's move on to the practical part and see the main actions I take when I look at a graph from scratch. The examples will cover the Long position but the reverse applies for the Short position.
HOW TO ENTER THE MARKET
1- First I set the signals with the Limit Signals type 3 option and use the SwingSignals signals. In this way I avoid too much confusion in the graph and consider the last signal
that points me in the main direction to follow.
2- In the image above we see a Long signal as the last. So from then on I will only look for Long entries.
3- I wait for the TrendCloud to turn green and thus favor the direction bullish.
4- I wait for the price to rise above the ema21 (orange moving average set by default) and the TrendCloud.
5- If the TrendCloud is above the ema100 (blue moving average) and the ema200 (yellow moving average) this increases the idea of bullish strength.
6- I expect a retracement and then a return of prices towards the zone ema21 or TrendCloud.
7- At this point, as we can see from the image below, I start looking at the Swing.
Swings determine the structure and trend of the market.
Increasing highs and lows = Uptrend
Lower highs and lower lows = Bearish trend
If in this case the swing low is positive then HL (HigherLow) we are more likely to enter in favor of a positive trend and be able to bring home a profit.
8- The break of the high of the swing candle (the one where we find the label HL) is already an entry trigger in itself, but to improve the probability of success and avoid
entering false movements we add MultiSignals signals to have input patterns specific.
In this case we have a Long entry pattern so the entry on the break of the maximum is confirmed.
9- A further confirmation is given by the TrendCandles that we can activate from the settings. If the last candles are green and the candle of ours probable trade is also
green, we have a further confirmation of possible rise.
TRADE MANAGEMENT AND EXIT
1- The moment we decide to open the position we need to know in advance where you mainly enter the stop loss and then the take profit.
2- To enter the stop loss we can use the last swing low as reference, or the TrendCloud. Based on the risk you want to get on that trade.
If the conditions are particularly positive you can place the stop loss a few pips below the swing low. The take profit instead it depends on how long you want to hold the
trade. Personally I prefer to exit trades as soon as possible to avoid staying too long exposed to reversal risks. This is about a trading approach short term.
So it could be placed on the level of the previous high as in the following example.
In this case the trade lasts only 4 candles and the overnight costs and the risk of closing the trade with a loss are limited.
3- To view the exit levels for TP and SL you can also use the automatic Support and Resistance tool.
In this example we see that the closest support level coincided with the low of the swing so inserting the stop loss below the low of the swing would have had greater validity. The Take Profit, on the other hand, could be placed on the closest Resistance level.
4- A more conservative approach would lead us to place the stop loss below the TrendCloud or below the previous swing low (more recommended approach). In this way we
will avoid the risk of being stopped and subsequently seeing the market continue in our direction as often happens.
In this example we see a Long trade on a subsequent MultiSignals signal which is stopped when the price makes a retracement on the TrendCloud. In this case we see that if we had placed the stop below the previous swing low or below the TrendCloud we would still have remained in the market and would be positive.
5- In the example above, it must also be considered that the market had already made several positive swings without making a more important retracement on the
TrendCloud, so after making 1 or 2 trades I would avoid forcing too much by chasing all the signals because it is the most correct approach.
After 3-4 consecutive swings without retracements, I recommend waiting.
When the market has made a major retracement then the swing count can start over and we could enter on the next swing high mark or break.
CONCLUSIONS
As you will have understood, the main approach is Trend is Your Friend, the trend is our main friend in trading and insisting on counter-trend operations is not profitable and sustainable in the long run. Even with LuBot you can do countertrend trades but they are not the ones I recommend so I won't talk about them here.
Last but not least it must be said that the indicator does not repaint, this means that the signals will not disappear over time and the alerts are reliable.
Each of these components has been inserted on the basis of a personal need and on the basis of studies done directly by me in the field. This is the first official release after 3 years of developments.
This indicator is not a strategy, does not show backtest results and does not show Take Profit or Stop Loss levels. The purpose of this indicator is to give everyone an idea of price behavior and to implement a discretionary strategy. Signals are not always a reason to enter and TP and SL levels vary depending on the type of trade, which is why an automated backtest could show different results than you might have.
This indicator is intended to help the trader (beginner or not) to find the trades to make more easily and to allow anyone to follow a strategy. Since this is an indicator for discretionary trading, I don't invite you to follow all the signals, but to reason with all the tools available within it. When there are more elements that match, the chances of success are higher. You have to be patient and avoid getting caught up in haste and emotions. Considering that the market is unpredictable and there can be no certainties about its future movement, I take no responsibility for your use of this indicator.
ASE Supply & Demand█ Introduction
ASE Supply & Demand is a multi-timeframe Supply and Demand zone indicator based on the Order Block concept. Order Blocks are a price action concept defined as a basing candle followed by a breakout candle (as seen in the chart below). A basing candle typically shows a slowing down in price action, foreshadowing a reversal and initial institutional activity. The breakout candle then confirms institutional activity with a displacement candle in the opposite direction of the basing candle. Additionally, there is an advanced feature called “Potentials,” which allows us to see price action forming S&D zones beforehand & trapped positions live through the same Order Block concept.
█ Supply and Demand Zones
The Supply & Demand zones are plotted on 8 timeframes (5m, 15m, 30m, 1hr, 2hr, 3hr, 4hr, D). In addition, there are custom settings that allow the trader to filter for the most significant zones and to cohere to their trading style:
Range Multiplier
Filters the creation of a zone based on the basing candle of Supply/Demand(0-5)
The size of the basing candle must be smaller than 0-5 times the True Range Index to create Supply/Demand.
If the basing candle range is smaller than the True Range Index, this can foreshadow the potential of institutional activity as price slows down, and a potential reversal might occur.
True Range Index
The number of bars to calculate the True Range in Range S+D mode.
Displacement Sensitivity
Filters the creation of a zone based on the displacement from the base (0-20)
Calculated by taking the breakout range (as seen in the chart below) divided by the range of the basing candle
0 = less significant, more zones
20 = more significant, fewer zones
Zone Strength Filter %
Filter out current zones based on how strong they are (0-100)
Calculated by the amount of fill within a zone. By changing the Zone Strength Filter, you can display zones that have not breached the filter % you select. For example, if you choose 80% Zone Strength, that means it will only show zones that are 20% filled or less; in other words, zones that have 80% or more yet to be filled.
0 = All Zones
100 = Completely unused zones
With these advanced filters and plotting on multiple timeframes, we have created the best Supply and Demand Indicator . In addition, these filters help to eliminate insignificant zones and noise in the market, leaving us a clean chart.
█ Potentials
Potentials foreshadow the possibility of a Supply or Demand Zone forming, the possibility of a Trapped concept, and it works great as targets or influence in our trades.
Potentials are calculated by the same Order Block concept, which allows us to see Supply & Demand/Order Blocks forming in real-time.
When a potential is triggered and holds, the line turns solid. If it continues to hold, it has the potential of forming a Supply/Demand zone based on the trader's Zone Filters. If the price pulls back and fails to hold, it will go back to dotted. Inferring it used the potential as liquidity and is potentially trapping market participants at that potential.
█ How To Use:
Supply and Demand Zones are the ‘Where’ to our trade but not the ‘Why.’ This means that the zones are our POI (Point of Interest) and ‘Where’ we want to be looking for a trade. It is not our ‘Why’ because we do not enter just because we are in a zone. This is because we expect pivots or reversals inside our Supply & Demand zones, and this rarely happens quickly.
What we want to look for in our zones is a solid base for our reversals. Simply put, we want to see new demand forming at our Demand Zones and new supply forming at our Supply Zones. This can be achieved by observing the ‘Potentials’ feature which allows us to see new Order Blocks or ‘Base Candles’ forming. With a trained eye, the ‘Potentials’ feature is highly effective in addition to its ‘Trapped’ logic which can offer entries on their own. The "Trapped" label on potentials shows potential trapped buyers or sellers after we reach that level. Observing and understanding how price action facilitates, especially around the zones, is crucial to its usability. In addition, other strategies or indicators can be used in confluence to support bounces out of demand and rejections out of supply.
Ultimately once we find a viable entry, we want to see a complete cycle. For example, if we caught a bounce out of demand with new demand forming, we would want to see the cycle complete and us reach the next supply or manufacture new supply. The ‘Potentials’ feature is the easiest way to gather multiple targets and at the same time offers stop loss management.
█ Settings:
Enable Supply/Demand/ Zones and Potential Liquidity
STF S&D Zones - Enables 5 minute and 15 minute timeframe for zones
LTF S&D Zones - Enables 30 minute and 1 hour timeframe for zones
HTF S&D Zones - Enables 2 hour, 3 hour, and 4 hour timeframe for zones
Daily S&D Zones - Enables Daily timeframe for zones
Enable Potentials
Supply Demand Zone Models
Range - Filters zones based on the range of candles before supply/demand
Displacement - Filters zones based on the displacement of the breakout candle
Range + Displacement - Filters zones based on the displacement of breakout candle and range of the candles before supply/demand
Supply Demand Zone Filters (see “Supply and Demand Zones” section for usage)
Range Multiplier
True Range Index
Displacement Sensitivity
Zone Strength Filter %
Deletion Conditions
Confirmed - Deletes zone upon time-frame close above supply or below demand
On Break - Deletes zone upon break above the top of supply or break below bottom of demand
On Tap - Deletes zone upon the touch of supply or demand
Other Settings
Price Labels - Turns on Zone Price Levels
Supply/Demand Color Input - Customize color of zones to your liking
Supply Demand Border Width - Change the border width of zones (0 would be completely borderless zones)
Supply Demand Transparency - Change transparency of zones (0 is completely solid zones, 100 is completely transparent)
Transparency Input - "Normal" Transparency stays at the level that's set; "Decrease with price" as price moves through, the zones become more transparent
Default Color - Changes color of any text/labels (default is gray)
Text size - Change size of text on labels
Intrabar Efficiency Ratio█ OVERVIEW
This indicator displays a directional variant of Perry Kaufman's Efficiency Ratio, designed to gauge the "efficiency" of intrabar price movement by comparing the sum of movements of the lower timeframe bars composing a chart bar with the respective bar's movement on an average basis.
█ CONCEPTS
Efficiency Ratio (ER)
Efficiency Ratio was first introduced by Perry Kaufman in his 1995 book, titled "Smarter Trading". It is the ratio of absolute price change to the sum of absolute changes on each bar over a period. This tells us how strong the period's trend is relative to the underlying noise. Simply put, it's a measure of price movement efficiency. This ratio is the modulator utilized in Kaufman's Adaptive Moving Average (KAMA), which is essentially an Exponential Moving Average (EMA) that adapts its responsiveness to movement efficiency.
ER's output is bounded between 0 and 1. A value of 0 indicates that the starting price equals the ending price for the period, which suggests that price movement was maximally inefficient. A value of 1 indicates that price had travelled no more than the distance between the starting price and the ending price for the period, which suggests that price movement was maximally efficient. A value between 0 and 1 indicates that price had travelled a distance greater than the distance between the starting price and the ending price for the period. In other words, some degree of noise was present which resulted in reduced efficiency over the period.
As an example, let's say that the price of an asset had moved from $15 to $14 by the end of a period, but the sum of absolute changes for each bar of data was $4. ER would be calculated like so:
ER = abs(14 - 15)/4 = 0.25
This suggests that the trend was only 25% efficient over the period, as the total distanced travelled by price was four times what was required to achieve the change over the period.
Intrabars
Intrabars are chart bars at a lower timeframe than the chart's. Each 1H chart bar of a 24x7 market will, for example, usually contain 60 intrabars at the LTF of 1min, provided there was market activity during each minute of the hour. Mining information from intrabars can be useful in that it offers traders visibility on the activity inside a chart bar.
Lower timeframes (LTFs)
A lower timeframe is a timeframe that is smaller than the chart's timeframe. This script determines which LTF to use by examining the chart's timeframe. The LTF determines how many intrabars are examined for each chart bar; the lower the timeframe, the more intrabars are analyzed, but fewer chart bars can display indicator information because there is a limit to the total number of intrabars that can be analyzed.
Intrabar precision
The precision of calculations increases with the number of intrabars analyzed for each chart bar. As there is a 100K limit to the number of intrabars that can be analyzed by a script, a trade-off occurs between the number of intrabars analyzed per chart bar and the chart bars for which calculations are possible.
Intrabar Efficiency Ratio (IER)
Intrabar Efficiency Ratio applies the concept of ER on an intrabar level. Rather than comparing the overall change to the sum of bar changes for the current chart's timeframe over a period, IER compares single bar changes for the current chart's timeframe to the sum of absolute intrabar changes, then applies smoothing to the result. This gives an indication of how efficient changes are on the current chart's timeframe for each bar of data relative to LTF bar changes on an average basis. Unlike the standard ER calculation, we've opted to preserve directional information by not taking the absolute value of overall change, thus allowing it to be utilized as a momentum oscillator. However, by taking the absolute value of this oscillator, it could potentially serve as a replacement for ER in the design of adaptive moving averages.
Since this indicator preserves directional information, IER can be regarded as similar to the Chande Momentum Oscillator (CMO) , which was presented in 1994 by Tushar Chande in "The New Technical Trader". Both CMO and ER essentially measure the same relationship between trend and noise. CMO simply differs in scale, and considers the direction of overall changes.
█ FEATURES
Display
Three different display types are included within the script:
• Line : Displays the middle length MA of the IER as a line .
Color for this display can be customized via the "Line" portion of the "Visuals" section in the script settings.
• Candles : Displays the non-smooth IER and two moving averages of different lengths as candles .
The `open` and `close` of the candle are the longest and shortest length MAs of the IER respectively.
The `high` and `low` of the candle are the max and min of the IER, longest length MA of the IER, and shortest length MA of the IER respectively.
Colors for this display can be customized via the "Candles" portion of the "Visuals" section in the script settings.
• Circles : Displays three MAs of the IER as circles .
The color of each plot depends on the percent rank of the respective MA over the previous 100 bars.
Different colors are triggered when ranks are below 10%, between 10% and 50%, between 50% and 90%, and above 90%.
Colors for this display can be customized via the "Circles" portion of the "Visuals" section in the script settings.
With either display type, an optional information box can be displayed. This box shows the LTF that the script is using, the average number of lower timeframe bars per chart bar, and the number of chart bars that contain LTF data.
Specifying intrabar precision
Ten options are included in the script to control the number of intrabars used per chart bar for calculations. The greater the number of intrabars per chart bar, the fewer chart bars can be analyzed.
The first five options allow users to specify the approximate amount of chart bars to be covered:
• Least Precise (Most chart bars) : Covers all chart bars by dividing the current timeframe by four.
This ensures the highest level of intrabar precision while achieving complete coverage for the dataset.
• Less Precise (Some chart bars) & More Precise (Less chart bars) : These options calculate a stepped LTF in relation to the current chart's timeframe.
• Very precise (2min intrabars) : Uses the second highest quantity of intrabars possible with the 2min LTF.
• Most precise (1min intrabars) : Uses the maximum quantity of intrabars possible with the 1min LTF.
The stepped lower timeframe for "Less Precise" and "More Precise" options is calculated from the current chart's timeframe as follows:
Chart Timeframe Lower Timeframe
Less Precise More Precise
< 1hr 1min 1min
< 1D 15min 1min
< 1W 2hr 30min
> 1W 1D 60min
The last five options allow users to specify an approximate fixed number of intrabars to analyze per chart bar. The available choices are 12, 24, 50, 100, and 250. The script will calculate the LTF which most closely approximates the specified number of intrabars per chart bar. Keep in mind that due to factors such as the length of a ticker's sessions and rounding of the LTF, it is not always possible to produce the exact number specified. However, the script will do its best to get as close to the value as possible.
Specifying MA type
Seven MA types are included in the script for different averaging effects:
• Simple
• Exponential
• Wilder (RMA)
• Weighted
• Volume-Weighted
• Arnaud Legoux with `offset` and `sigma` set to 0.85 and 6 respectively.
• Hull
Weighting
This script includes the option to weight IER values based on the percent rank of absolute price changes on the current chart's timeframe over a specified period, which can be enabled by checking the "Weigh using relative close changes" option in the script settings. This places reduced emphasis on IER values from smaller changes, which may help to reduce noise in the output.
█ FOR Pine Script™ CODERS
• This script imports the recently published lower_ltf library for calculating intrabar statistics and the optimal lower timeframe in relation to the current chart's timeframe.
• This script uses the recently released request.security_lower_tf() Pine Script™ function discussed in this blog post .
It works differently from the usual request.security() in that it can only be used on LTFs, and it returns an array containing one value per intrabar.
This makes it much easier for programmers to access intrabar information.
• This script implements a new recommended best practice for tables which works faster and reduces memory consumption.
Using this new method, tables are declared only once with var , as usual. Then, on the first bar only, we use table.cell() to populate the table.
Finally, table.set_*() functions are used to update attributes of table cells on the last bar of the dataset.
This greatly reduces the resources required to render tables.
Look first. Then leap.
Liquidity Levels MTF - SonarlabThis indicator uses Pivot Points to identify Liquidity Levels in the market. Liquidity Levels are levels in the market where you would expect price to be pulled towards.
Liquidity Levels by Sonarlab also has an option to show Higher Timeframe Liquidity Levels.
Below are the indicators settings:
Liquidity Mitigation Options
The Indicator has options for you to choose what happens to the Liquidity line/boxes once it has been mitigated. Either Keep them on the chart, or remove them.
Display Styles
Choose how the levels are displayed, either with Lines or Boxes.
Set the your Extension options, by keeping the lines/boxes "short" or extend to current price, or maximum to the right
Colors and Styles
Set colors and styles for all lines and boxes
[PlayBit] FVG/EMAThis Indicator was made for the PlayBit Community by @FFriZz
This indicator includes 2 of the most used indicators within the community
1. FVG indicator -- Very minimalistic version seems to be the most used
2. EMA indicator -- Indicator made by using two 200 EMAs one tracking highs and one tracking closes -- to form a 200 EMA Channel
-- The EMA Can be used as a single one on the current chart or there are 5 other options that will allow you to track up to 5 timeframes
higher or lower
----- Options ------
-- FVGs --
1. Ability to keep FVGs on chart when Filled/Mitigated or have them Deleted
2. Setting to Change the border of the FVG when it has been tested
3. Can have the FVGs resize to the untapped area
4. Setting to adjust the number of FVGs that are displayed on Chart at a time
-- EMA --
1. Up to 5 Different timeframes
2. Color Switch if close is above or below EMAs
3. Color Settings
Shout out to the PlayBit Community
for being a great community for Trading and in general!
If anyone finds any bugs Please let me know on here or on PlayBit
or if I removed something in this version you would like to see put back..
Hope you enjoy!
@FFriZz | @FrizLabz
Automatic Closest FVG with BPRFair Value Gaps are a hugely popular concept and because of that there are numerous indicators available. This one however, was designed to automate the process of actually using them in trading.
Designed with lower time frame entries in mind (though will work on HTF just as well), this indicator automatically draws the closest, non-mitigated FVG, to the current price, cutting out the work of looking for what FVG is relevant.
The indicator also has an option to show when the current nearest pair of FVGs form a BPR or 'balanced price range'.
There are various option for what counts as mitigation, including no mitigation at all, and when mitigated an FVG is no longer considered for proximity searching.
ICT IPDA Look BackThis script automatically calculates and updates ICT's daily IPDA look back time intervals and their respective discount / equilibrium / premium, so you don't have to :)
IPDA stands for Interbank Price Delivery Algorithm. Said algorithm appears to be referencing the past 20, 40, and 60 days intervals as points of reference to define ranges and related PD arrays.
Intraday traders can find most value in the 20 Day Look Back box, by observing imbalances and points of interest.
Longer term traders can reference the 40 and 60 Day Look Back boxes for a clear indication of current market conditions.
SCREENER:INDEX
TradingView enables traders and investors to make smarter and better investment decisions. TradingView offers to scan 20 or 40 stock or index. Scanner can be shown in dash board as shown in
above image. This dashboard has following figure
1.Column No.1 show sectoral and thematic index.
2. The price is slipped due to aggressive order punched by market participants. There is six types of price slippage. Three are bullish and three are bearish . This price slippage indicates market fear and greed. Green slippage indicates that bullish rally can start while Red slippage indicates that Bearish rally can start. Area of slippage will act as a support and resistance for future price moment. Where column No. 2,3 and 4 shows H.G., W.G. and T.V. shows price slippage.
3.Column No.6 show resistance strength
4.Column No.7 show Volume strength with respect to ( SMA1000X2)
5.Column No.8 show volatility while Column No. 9 shows liquidity
with previous 1000 bar.
6.Column No.10 show relative strength comparison with respect to broader index.
Automated OHLC OLHC LevelsA simple, clean, effective visualization tool, for the OHLC or OLHC of a chosen candle/timeframe.
Apply this indicator using a higher timeframe, in conjunction with other levels and the directional bias, to easily recognize trading opportunities at lower timeframes.
STD-Filtered, Adaptive Exponential Hull Moving Average [Loxx]STD-Filtered, Adaptive Exponential Hull Moving Average is a Kaufman Efficiency Ratio Adaptive Hull Moving Average that uses EMA instead of WMA for its computation. I've also added standard deviation stepping to further smooth the signal. Using EMA instead of WMA turns the Hull into what's called the AEHMA. You can read more about the EHMA here: eceweb1.rutgers.edu
What is the traditional Hull Moving Average?
The Hull Moving Average (HMA) attempts to minimize the lag of a traditional moving average while retaining the smoothness of the moving average line. Developed by Alan Hull in 2005, this indicator makes use of weighted moving averages to prioritize more recent values and greatly reduce lag. The resulting average is more responsive and well-suited for identifying entry points.
What is Kaufman's Efficiency Ratio?
The Efficiency Ratio (ER) was first presented by Perry Kaufman in his 1995 book ‘Smarter Trading‘. It is calculated by dividing the price change over a period by the absolute sum of the price movements that occurred to achieve that change. The resulting ratio ranges between 0 and 1 with higher values representing a more efficient or trending market.
The value of the ER ranges between 0 and 1. It has the value of 1 when prices move in the same direction for the full time over which the indicator is calculated, e.g. n bars period. It has a value of 0 when prices are unchanged over the n periods. When prices move in wide swings within the interval, the sum of the denominator becomes very large compared to the numerator and ER approaches zero.
Some uses for ER:
A qualifier for a trend following trade; a trend is considered “persistent” only when RE is above a certain value, e.g. 0.3 or 0.4 .
A filter to screen out choppy stocks/markets, where breakouts are frequently “fakeouts”.
In an adaptive trading system, helping to determine whether to apply a trend following algorithm or a mean reversion algorithm.
It is used in the calculation of Kaufman’s Adaptive Moving Average (KAMA).
How to calculate the Hull Adaptive Moving Average (HAMA)
Find Signal to Noise ratio (SNR)
Normalize SNR from 0 to 1
Calculate adaptive alphas
Apply EMAs
Included
Bar coloring
Signals
Alerts
Loxx's Expanded Source Types
