ICT Silver Bullet Vertical Lines by Fahmi EshaqThis indicator is designed for users interested in backtesting the Silver Bullet strategy. It eliminates the need for manual drawing of vertical lines by automatically highlighting specific times known as ICT Silver Bullet times. These times correspond to periods when smart money are active the market. The indicator marks these Silver Bullet times with vertical lines, making them easily identifiable. The specified Silver Bullet times are 3AM-4AM, 10AM-11AM, and 2PM-3PM New York time. Additionally, a vertical line is added at 12:00AM to demarcate the start of each day, as days begin at midnight.
Chart-Muster
Doji Followed by Bullish or Bearish CandleThis indicator identifies instances where a doji candlestick pattern is followed by either a bullish or bearish candle, indicating potential reversal or continuation signals in the market.
Features:
Doji Detection: Utilizes the concept of doji candlesticks, where the difference between the open and close prices is minimal compared to the candle's overall range.
Candlestick Identification: Determines whether the following candle is bullish (close > open) or bearish (close < open).
Customizable Threshold: Allows users to adjust the sensitivity of the doji detection by modifying the doji body factor parameter.
Alerts: Generates alerts when a doji candle is followed by a bullish or bearish candle, signaling potential trading opportunities.
How to Use:
When a blue triangle appears below a candle, it indicates that a doji candle was followed by a bullish or bearish candle.
Traders can interpret these signals as potential entry or exit points in their trading strategies.
Note: This indicator should be used in conjunction with other technical analysis tools and indicators for comprehensive market analysis.
TrendLine Toolkit w/ Breaks (Real-Time)The TrendLine Toolkit script introduces an innovating capability by extending the conventional use of trendlines beyond price action to include oscillators and other technical indicators. This tool allows traders to automatically detect and display trendlines on any TradingView built-in oscillator or community-built script, offering a versatile approach to trend analysis. With breakout detection and real-time alerts, this script enhances the way traders interpret trends in various indicators.
🔲 Methodology
Trendlines are a fundamental tool in technical analysis used to identify and visualize the direction and strength of a price trend. They are drawn by connecting two or more significant points on a price chart, typically the highs or lows of consecutive price movements (pivots).
Drawing Trendlines:
Uptrend Line - Connects a series of higher lows. It signals an upward price trend.
Downtrend Line - Connects a series of lower highs. It indicates a downward price trend.
Support and Resistance:
Support Line - A trendline drawn under rising prices, indicating a level where buying interest is historically strong.
Resistance Line - A trendline drawn above falling prices, showing a level where selling interest historically prevails.
Identification of Trends:
Uptrend - Prices making higher highs and higher lows.
Downtrend - Prices making lower highs and lower lows.
Sideways (or Range-bound) - Prices moving within a horizontal range.
A trendline helps confirm the existence and direction of a trend, providing guidance in aligning with the prevailing market sentiment. Additionally, they are usually paired with breakout analysis, a breakout occurs when the price breaches a trendline. This signals a potential change in trend direction or an acceleration of the existing trend.
The script adapts this methodology to oscillators and other indicators. Instead of relying on price pivots, which can only be detected in retrospect, the script utilizes a trailing stop on the oscillator to identify potential swings in real-time, you may find more info about it here (SuperTrend toolkit) . We detect swings or pivots simply by testing for crosses between the indicator and its trailing stop.
type oscillator
float o = Oscillator Value
float s = Trailing Stop Value
oscillator osc = oscillator.new()
bool l = ta.crossunder(osc.o, osc.s) => Utilized as a formed high
bool h = ta.crossover (osc.o, osc.s) => Utilized as a formed low
This approach enables the algorithm to detect trendlines between consecutive pivot highs or lows on the oscillator itself, providing a dynamic and immediate representation of trend dynamics.
🔲 Breakout Detection
The script goes beyond trendline creation by incorporating breakout detection directly within the oscillator. After identifying a trendline, the algorithm continuously monitors the oscillator for potential breakouts, signaling shifts in market sentiment.
🔲 Setup Guide
A simple example on one of my public scripts, Z-Score Heikin-Ashi Transformed
🔲 Settings
Source - Choose an oscillator source of which to base the Toolkit on.
Zeroing - The Mid-Line value of the oscillator, for example RSI & MFI use 50.
Sensitivity - Calibrates the Sensitivity of which TrendLines are detected, higher values result in more detections.
🔲 Alerts
Bearish TrendLine
Bullish TrendLine
Bearish Breakout
Bullish Breakout
As well as the option to trigger 'any alert' call.
By integrating trendline analysis into oscillators, this Toolkit enhances the capabilities of technical analysis, bringing a dynamic and comprehensive approach to identifying trends, support/resistance levels, and breakout signals across various indicators.
Big RunnerPresenting the "Big Runner" technique, dubbed "Sprinter," which is intended to help traders looking for momentum chances recognise important market swings. This approach maximises profit potential while controlling risk by using trend ribbons and moving averages to identify entry and exit locations.
Important characteristics:
Moving Averages: To determine the direction of the underlying trend, moving averages, both rapid and slow, are used. Depending on their preferred trading strategy, traders can alter the duration of these averages.
Trend Ribbon: Shows phases of bullish and bearish momentum by using a ribbon indicator to visualise the strength of the trend. Trend transitions are simple to spot for traders so they can make wise decisions.
Buy and Sell Signals: This tool generates buy and sell signals that indicate possible entry and exit opportunities based on the crossing and crossunder of moving averages.
Stop Loss/Take Profit Management: This feature enables traders to successfully apply risk management methods by giving them the ability to set stop loss and take profit levels as a percentage of the entry price.
Dynamic Position Sizing: Optimises capital allocation for every trade by dynamically calculating position size depending on leverage and portfolio proportion.
Implementation:
Long Entry: Started when a bullish trend is indicated by a price cross above the fast and slow moving averages. To control risk and lock in earnings, stop loss and take profit thresholds are established appropriately.
Short Entry: Indicates a bearish trend when the price crosses below both moving averages. The concepts of risk management are similar, with dynamic calculations used to determine take-profit and stop-loss levels.
Extra Personalisation:
Take Profit/Stop Loss Management: Provides the ability to select a take profit and stop loss
API Integration: This feature improves execution flexibility and efficiency by enabling traders to include custom parameters for automated trading.
Notice:
Trading entails risk, and performances in the past do not guarantee future outcomes. Before making any trades with this approach, careful analysis and risk management are necessary.
In summary:
By integrating risk management procedures with technical indicators, the "Big Runner" strategy provides a thorough method for identifying noteworthy market changes and achieving the best possible trading results. Traders can adjust parameters to suit their interests and style of trading, giving them the confidence to traverse volatile market situations.
Three ma cross alertThis indicator displays three moving averages and can set alarms.
The default values for the three moving averages are set to 20,35,60, which can be changed by the user.
It is based on the idea of considering the moving average as an up-trend when it is in a positive arrangement and a down-trend when it is in a reverse arrangement.
If the candle reaches each moving average when the moving average is in a positive arrangement, it is considered a price adjustment
Therefore when the candles touch each line with the ma in the same arrangement, an alarm occurs.
The alarm reference time zone is set by 1D default, , and can be modified from the settings.
You can use it when you want to see the simple 3 moving averages without an alarm.
The alarm occurs before the closing price of the candle is closed in real time.
If there is any improvement, please contact us
Thanks
QTE Scalper ModifiedA modified version of the QTE scalper indicator. Produces a buy/sell signal based on a 2 candle pattern. For long signals it produces a signal when the high and low of the second candle are below the high and low of the first candle and both candles close above the 10 period EMA. The reverse is true for short signals.
Added functionality so that signals will trigger an alert: Add the indicator to the chart on the instrument and timeframe you wish to use it on. Add an alert and in the 'condition' section choose the indicator and set the trigger as 'once per bar close'. You will have to set individual alerts for both long and short signals and if you change the time period on the chart.
Price Action Fractal Forecasts [AlgoAlpha]🔮 Price Action Fractal Forecasts - Unleash the Power of Historical Patterns! 🌌✨
Dive into the future with AlgoAlpha's Price Action Fractal Forecasts ! This innovative indicator utilizes the mesmerizing complexity of fractals to predict future price movements, offering traders a unique edge in the market. By analyzing historical price action and identifying repeating patterns, this tool forecasts future price trends, providing visually engaging and actionable insights.
Key Features:
🔄 Flexible Data Series Selection: Choose your preferred data series for precise analysis.
🕰 Flexible Training and Reference Data Windows: Customize the length of training data and reference periods to match your trading style.
📈 Custom Forecast Length: Adjust the forecast horizon to suit your strategic objectives.
🌈 Customizable Visual Elements: Tailor the colors of forecast deviation cones, data reference areas, and more for optimal chart readability.
🔄 Anticipatory and Repetitive Forecast Modes: Select between anticipating future trends or identifying repetitive patterns for forecasts.
🔎 Enhanced Similarity Search: Leverages correlation metrics to find the most similar historical data segments.
📊 Forecast Deviation Cone: Visualize potential price range deviations with adjustable multipliers.
🚀 Quick Guide to Maximizing Your Trading with Price Action Fractal Forecasts:
🛠 Add the Indicator: Search for "Price Action Fractal Forecasts" in TradingView's Indicators & Strategies. Customize settings according to your trading strategy.
📊 Strategic Forecasting: Monitor the forecast deviation cone and forecast directional changes for insights into potential future price movements.
🔔 Alerts for Swift Action: Set up notifications based on forecast changes to stay ahead of market movements without constant monitoring.
Behind the Magic: How It Works
The core of the Price Action Fractal Forecasts lies in its ability to compare current market behavior with historical data to unearth similar patterns. It first establishes a training data window to analyze historical prices. Within this window, it then defines a reference length to identify the most recent price action that will serve as the basis for comparison. The indicator searches through the historical data within the training window to find segments that closely match the recent price action in the reference period.
Depending on whether you choose the anticipatory or repetitive forecast mode, the indicator either looks ahead to predict future prices based on past outcomes following similar patterns or focuses on the repeating patterns within the reference period itself for forecasts. The forecast's direction can be configured to reflect the mean average of forecasted prices or the end-point relative to the start-point of the forecast, offering flexibility in how forecasts are interpreted.
To enhance the comprehensiveness and visualization, the indicator features a forecast deviation cone. This cone represents the potential range of price movements, providing a visual cue for volatility and uncertainty in the forecasted prices. The intensity of this cone can be adjusted to suit individual preferences, offering a visual guide to the level of risk and uncertainty associated with the forecasted price path.
Embrace the fractal magic of markets with AlgoAlpha's Price Action Fractal Forecasts and transform your trading today! 🌟🚀
Pi Cycle Indicator Low and High
The Pi Cycle Indicator is a technical analysis tool used in finance, particularly within cryptocurrency markets, to identify potential market tops or bottoms. It is based on two moving averages: the 111-day moving average and the 350-day moving average of Bitcoin's price. The indicator suggests that when these two moving averages converge or cross each other, it may signal significant market turning points. The name "Pi Cycle" comes from the mathematical relationship between these two moving averages, roughly equivalent to the mathematical constant Pi (3.14). Traders and analysts use this indicator to gauge potential trend reversals and make informed decisions regarding their trading strategies. However, like any technical analysis tool, it should be used in conjunction with other indicators and fundamental analysis for a comprehensive understanding of market conditions.
3 Bar PlayThe "3 Bar Play" is a simple yet powerful pattern that traders look for as a signal of potential market movement. The pattern is defined by a sequence of three bars (or candlesticks) on the chart:
I saw Rake Trades post about this pattern. It not a new concept just wanted it to automatically be plotted on my chart rather then looking out for it.
Up 3 Bar Play: This pattern signals a potential upward movement.
The first bar (two bars ago from the current bar) must close higher than it opened, indicating a bullish bar.
The second bar (the previous bar) must close lower than it opened, indicating a bearish bar, but its low should be higher than the low of the first bar, showing that bears couldn't push the price much lower.
The third bar (the current bar) must open and close higher than the previous bar, closing above the high of the second bar, confirming the bullish sentiment.
Down 3 Bar Play: This pattern signals a potential downward movement.
The first bar (two bars ago from the current bar) must close lower than it opened, indicating a bearish bar.
The second bar (the previous bar) must close higher than it opened, indicating a bullish bar, but its high should be lower than the high of the first bar, showing that bulls couldn't push the price much higher.
The third bar (the current bar) must open and close lower than the previous bar, closing below the low of the second bar, confirming the bearish sentiment.
Plotting the Patterns
plotshape(): This function is used to plot shapes on the chart to visually highlight where the patterns occur.
For an "Up 3 Bar Play", a green triangle pointing upwards is plotted below the bullish pattern to indicate a potential buy signal.
For a "Down 3 Bar Play", a red triangle pointing downwards is plotted above the bearish pattern to indicate a potential sell signal.
Key Points
This script helps traders quickly identify potential entry points based on the 3 Bar Play pattern without manually scanning the charts.
It's important to remember that no single pattern guarantees market movements, and it's often used in conjunction with other indicators and analysis methods.
This script is a practical tool for those looking to incorporate the 3 Bar Play pattern into their trading strategy, offering a clear visual cue on the chart whenever the pattern is identified.
Please understand the 3 bar play and where you should set your stop loss
Smart Money Setup 01 [TradingFinder]Double Order Blocks Proof🔵 Introduction
The Price Action, styled as the "Smart Money Concept" or "SMC," was introduced by Mr. David J. Crouch in 2000 and is one of the most modern technical styles in the financial world. In financial markets, Smart Money refers to capital controlled by major market players (central banks, funds, etc.), and these traders can accurately predict market trends and achieve the highest profits.
In the "Smart Money" style, various types of "order blocks" can be traded. This indicator uses a type of "order block" originating from "BoS" (Breakout of Structure). The most important feature of this indicator is the confirmation of two order blocks.
🟣 Important
For example, after the first "BoS" and the formation of the first Order Block, if a second "BoS" occurs before touching the price of the first Order Block and the formation of the second Order Block, a trading setup with 2 order blocks is formed, which confirms the dominant market trend.
For a better understanding of this subject, see the explanations in the following two images.
Bullish Setup Details :
Bearish Setup Details :
🔵 How to Use
After adding the indicator to the chart, you should wait for the formation of the trading setup. You can observe different trading positions by changing the "Time Frame" and "Pivot Period." Generally, the higher the "Time Frame" and "Pivot Period," the more valid the formed setup is.
Bullish Setup Details on Chart :
Bearish Setup Details on Chart :
You can access the "Pivot Period" input through the settings.
Order-Block Detector ICT/SMT + FVG + SignalsOrderBlock-Finder
This script shows order-blocks (OB) and fair-value-gaps (FVG). Additionaly there are entry signals for OB and FVG. The Dist-Parameter tell how many candles should exist between the beginning of the OB or FVG and the pullback.
Order-Blocks
An order block in trading typically refers to a significant grouping of buy or sell orders at a particular price level within a financial market. These blocks of orders can influence price movement when they are executed. Here's a breakdown:
Buy Order Block: This occurs when there's a large concentration of buy orders at a specific price level. It indicates a significant interest among traders to purchase the asset if the price reaches that level.
Sell Order Block: Conversely, a sell order block happens when there's a notable accumulation of sell orders at a particular price level. This suggests that many traders are willing to sell the asset if the price reaches that level.
Impact on Price: Order blocks can influence price movement because when the market approaches these levels, the orders within the block may be triggered, leading to increased buying or selling pressure, depending on the type of block. This surge in trading activity can cause the price to either bounce off the level or break through it.
Support and Resistance: Order blocks are often associated with support and resistance levels. A buy order block may act as support, preventing the price from falling further, while a sell order block may serve as resistance, hindering upward price movement.
Fair-Value-Gap
The fair value gap in trading refers to the difference between the current market price of an asset and its calculated fair value. This concept is often used in financial markets, especially in the context of stocks and other securities. Here's a breakdown:
Market Price: The market price is the price at which an asset is currently trading in the market. It is determined by the interaction of supply and demand forces, as well as various other factors such as news, sentiment, and economic conditions.
Fair Value: Fair value represents the estimated intrinsic value of an asset based on fundamental analysis, which includes factors such as earnings, dividends, cash flow, growth prospects, and prevailing interest rates. It's essentially what an asset should be worth based on its fundamentals.
Fair Value Calculation: Analysts and investors use various methods to calculate the fair value of an asset. Common approaches include discounted cash flow (DCF) analysis, comparable company analysis (CCA), and dividend discount models (DDM), among others.
Fair Value Gap: The fair value gap is the numerical difference between the calculated fair value of an asset and its current market price. If the market price is higher than the fair value, it suggests that the asset may be overvalued. Conversely, if the market price is lower than the fair value, it indicates that the asset may be undervalued.
Trading Implications: Traders and investors often pay attention to the fair value gap to identify potential trading opportunities. If the market price deviates significantly from the fair value, it may present opportunities to buy or sell the asset with the expectation that the market price will eventually converge towards its fair value.
W and M Pattern with Trend AlertThis script detects W and M patterns in price action and alerts the trader when these patterns occur, providing potential trading opportunities.
W Pattern: A W pattern forms when the price creates two bottoms, separated by a higher low in the middle. It often indicates a reversal from a downtrend to an uptrend. The script plots a green line at the neckline of the W pattern.
M Pattern: An M pattern forms when the price creates two tops, separated by a lower high in the middle. It often indicates a reversal from an uptrend to a downtrend. The script plots a red line at the neckline of the M pattern.
Key Features:
Alerts: The script generates alerts when W or M patterns are detected, allowing traders to stay informed of potential trading opportunities.
Recent Breakout: W and M pattern lines are drawn only after the recent breakout of support or resistance levels, helping traders focus on current market conditions.
Visual Representation: The script visually represents W and M patterns with vertical lines at the neckline, making it easier for traders to identify potential reversal points.
Usage:
Watch for alerts indicating the detection of W or M patterns.
Verify the pattern visually on the chart, paying attention to recent support or resistance levels.
Consider entering a trade based on the direction suggested by the pattern (e.g., long on W pattern, short on M pattern), using additional technical analysis to confirm the trade setup.
TTrades Daily Bias [TFO]Inspired by @TTrades_edu video on daily bias, this indicator aims to develop a higher timeframe bias and collect data on its success rate. While a handful of concepts were introduced in said video, this indicator focuses on one specific method that utilizes previous highs and lows. The following description will outline how the indicator works using the daily timeframe as an example, but the weekly timeframe is also an included option that functions in the exact same manner.
On the daily timeframe, there are a handful of possible scenarios that we consider: if price closes above its previous day high (PDH), the following day's bias will target PDH; if price trades above its PDH but closes back below it, the following day's bias will target its previous day low (PDL).
Similarly, if price closes below its PDL, the following day's bias will target PDL. If price trades below its PDL but closes back above it, the following day's bias will target PDH.
If price trades as an inside bar that doesn't take either PDH or PDL, it will refer to the previous candle for bias. If the previous day closed above its open, it will target PDH and vice versa. If price trades as an outside bar that takes both PDH and PDL, but closes inside that range, no bias is assigned.
With a rigid framework in place, we can apply it to the charts and observe the results.
As shown above, each new day starts by drawing out the PDH and PDL levels. They start out as blue and turn red once traded through (these are the default colors which can be changed in the indicator's settings). The triangles you see are plotted to indicate the time at which PDH or PDL was traded through. This color scheme is also applied to the table in the top right; once a bias is determined, that cell's color starts out as blue and turns red once the level is traded through.
The table indicates the success rate of price hitting the levels provided by each period's bias, followed by the success rate of price closing through said levels after reaching them, as well as the sample size of data collected for each scenario.
In the above crude oil futures (CL1!) 30m chart, we can glean a lot of information from the table in the top right. First we may note that the "PDH" cell is red, which indicates that the current day's bias was targeting PDH and it has already traded through that level. We might also note that the "PWH" cell is blue, which indicates that the weekly bias is targeting the previous week high (PWH) but price has yet to reach that level.
As an example of how to read the table's data, we can look at the "PDH" row of the crude oil chart above. The sample size here indicates that there were 279 instances where the daily bias was assigned as PDH. From this sample size, 76.7% of instances did go on to trade through PDH, and only 53.7% of those instances actually went on to close through PDH after hitting that level.
Of course, greater sample sizes and therefore greater statistical significance may be derived from higher timeframe charts that may go further back in time. The amount of data you can observe may also depend on your TradingView plan.
If we don't want to see the labels describing why bias is assigned a certain way, we can simply turn off the "Show Bias Reasoning" option. Additionally, if we want to see a visual of what the daily and weekly bias currently is, we can plot that along the top and bottom of the chart, as shown above. Here I have daily bias plotted at the top and weekly bias at the bottom, where the default colors of green and red indicate that the bias logic is expecting price to draw towards the given timeframe's previous high or low, respectively.
For a compact table view that doesn't take up much chart space, simply deselect the "Show Statistics" option. This will only show the color-coded bias column for a quick view of what levels are being anticipated (more user-friendly for mobile and other smaller screens).
Alerts can be configured to indicate the bias for a new period, and/or when price hits its previous highs and lows. Simply enable the alerts you want from the indicator's settings and create a new alert with this indicator as the condition. There will be options to use "Any alert() function call" which will alert whatever is selected from the settings, or you can use more specific alerts for bullish/bearish bias, whether price hit PDH/PDL, etc.
Lastly, while the goal of this indicator was to evaluate the effectiveness of a very specific bias strategy, please understand that past performance does not guarantee future results.
Nightrangers IndicatorDescription
This indicator combines three EMA's, Ichimoku Cloud, RSI and MACD. By combining and modifying their use case this turns into an extremely powerful and accessible indicator for finding long and short position entries, below is a description of how to use this indicator, and what makes it different.
Primary Use case
The three EMA's would be the initial indicators you would be looking at, they are based on the 7d, 25d and 200d MA - Used on their own, they would be worthless, and this is where the Ichimoku Cloud comes into it, I have removed all other aspects of the Ichimoku Cloud and only kept the baseline, combine this with the three MA's and we have a very powerful indicator for finding Long entries, that is used uniquely in a way to which the Ichimoku Cloud is not originally meant to be used for.
An early indication of a LONG entry would be when the 7d MA crosses above the Ichimoku Baseline, through this early indicator, you are able to watch and monitor the chart, you would be waiting to see if the 25d MA then also crosses above the Ichimoku Baseline, This would be the second important indication of a long entry. The 200d MA helps here when making decisions on where to set your own personal take profits - If the Ichimoku baseline, and the MA's are below the 200d MA, you would be expecting a bounce point here, or heavy resistance so the long entry could be over a shorter period, than that if it was above the 200d MA, which is why it is included here, to help make a better informed choice.
The latter is reversed for finding short positions, and entries. This indicator is completely reliant on each other to find the best possible entry/exit by complementing each other, and by using the Ichimoku Baseline on it's own, and not as the Ichimoku Cloud is intended.
Just using these though, is not enough, which is why the RSI and MACD are also combined, once the conditions are met above, You may find that there can be false positives for entries, and this is where the RSI has multiple use cases within this script.
Firstly the backdrop colour will change based on whether the chart is in an uptrend or downtrend, This is a visual indicator provided to work simultaneaously on the chart itself to help identification of entries/exits easier to identify in conjunction with the above.
Secondly, It is used to display in the top right, The current Trend in a text format, as well as if the current chart is in one of three phases, these are Overbrought, Oversold and accumulation.
And finally it will display the current RSI Value on the last candle in a clear to see blue Label, This helps with the visual accessible side, to help you make a more informed choice depending on your own personal tolerance.
This ties into the above Indicators, by combining the information, you would not be looking to take a long, if for example, the RSI showed it was over-brought, and in a downtrend, even if the MA's had crossed above the Baseline, as this would most likely be a fakeout.
However if the Indicators above, showed a potential long, and the backdrop had flipped green, indicating an uptrend, and it was in an accumulation phase, you would consider this position. and this is where the MACD comes into play.
You would use the MACD to see whether or not the Signal line has crossed over the MACD line, and vice versa - However this script uses it to simplify and portray current market sentiment, and visually display by reducing clutter on screen, and making it more accessible.
It is designed to portray an easy to read and understand visual indicator by displaying in the top right simply as Bullish or Bearish, with markers above the candles ( "M" and "MX" ).
The M indicator is to show where the MACD Crosses above the Signal, and if aligned with all the other indicators within the script, shows a very strong confirmation for a buying opportunity, and vice versa for the "MX" indicator if aligned with the other indicators in reverse, provides a very strong confirmation for opening a short position or for selling.
Secondary Use case
By combining the indicators above, the secondary conditions you would be looking for, If you opened a LONG position, would be knowing when to sell, On top of what has been described above already regarding this, you would be looking to start taking profits, when the 7d MA crosses above or across the candles, and looking to close the position, when the 25d MA also crosses above the candles, and respectively, in reverse for closing short positions. This is shown across the charts to be extremely useful, however, combine this with the other indicators, portrayed in an easy to use and understand visual representation, you are now able to make more informed decisions, on whether to close a position or not.
How is it different and not just a mash up
I have combined these indicators to make the world of trading more accessible for everyone regardless of circumstances, by creating an easy to understand visual representation, keeping colours vibrant and easy to stand out, with clear and simple to read text indications. So whether you are a seasoned trader, or just starting out, you can make more informed choices, without the need of learning how to use multiple different indicators, and learning how to combine them all, or if you have difficulties learning, this indicator also simplifies a lot of the more technical intricacies, by still allowing you to make a more informed choice.
Divergence Toolkit (Real-Time)The Divergence Toolkit is designed to automatically detect divergences between the price of an underlying asset and any other @TradingView built-in or community-built indicator or script. This algorithm provides a comprehensive solution for identifying both regular and hidden divergences, empowering traders with valuable insights into potential trend reversals.
🔲 Methodology
Divergences occur when there is a disagreement between the price action of an asset and the corresponding indicator. Let's review the conditions for regular and hidden divergences.
Regular divergences indicate a potential reversal in the current trend.
Regular Bullish Divergence
Price Action - Forms a lower low.
Indicator - Forms a higher low.
Interpretation - Suggests that while the price is making new lows, the indicator is showing increasing strength, signaling a potential upward reversal.
Regular Bearish Divergence
Price Action - Forms a higher high.
Indicator - Forms a lower high.
Interpretation - Indicates that despite the price making new highs, the indicator is weakening, hinting at a potential downward reversal.
Hidden divergences indicate a potential continuation of the existing trend.
Hidden Bullish Divergence
Price Action - Forms a higher low.
Indicator - Forms a lower low.
Interpretation - Suggests that even though the price is retracing, the indicator shows increasing strength, indicating a potential continuation of the upward trend.
Hidden Bearish Divergence
Price Action - Forms a lower high.
Indicator - Forms a higher high.
Interpretation - Indicates that despite a retracement in price, the indicator is still strong, signaling a potential continuation of the downward trend.
In both regular and hidden divergences, the key is to observe the relationship between the price action and the indicator. Divergences can provide valuable insights into potential trend reversals or continuations.
The methodology employed in this script involves the detection of divergences through conditional price levels rather than relying on detected pivots. Traditionally, divergences are created by identifying pivots in both the underlying asset and the oscillator. However, this script employs a trailing stop on the oscillator to detect potential swings, providing a real-time approach to identifying divergences, you may find more info about it here (SuperTrend Toolkit) . We detect swings or pivots simply by testing for crosses between the indicator and its trailing stop.
type oscillator
float o = Oscillator Value
float s = Trailing Stop Value
oscillator osc = oscillator.new()
bool l = ta.crossunder(osc.o, osc.s) => Utilized as a formed high
bool h = ta.crossover (osc.o, osc.s) => Utilized as a formed low
// Note: these conditions alone could cause repainting when they are met but canceled at a later time before the bar closes. Hence, we wait for a confirmed bar.
// The script also includes the option to immediately alert when the conditions are met, if you choose so.
By testing for conditional price levels, the script achieves similar outcomes without the delays associated with pivot-based methods.
type bar
float o = open
float h = high
float l = low
float c = close
bar b = bar.new()
bool hi = b.h < b.h => A higher price level has been created
bool lo = b.l > b.l => A lower price level has been created
// Note: These conditions do not check for certain price swings hence they may seldom result in inaccurate detection.
🔲 Setup Guide
A simple example on one of my public scripts, Standardized MACD
🔲 Utility
We may auto-detect divergences to spot trend reversals & continuations.
🔲 Settings
Source - Choose an oscillator source of which to base the Toolkit on.
Zeroing - The Mid-Line value of the oscillator, for example RSI & MFI use 50.
Sensitivity - Calibrates the sensitivity of which Divergencies are detected, higher values result in more detections but less accuracy.
Lifetime - Maximum timespan to detect a Divergence.
Repaint - Switched on, the script will trigger Divergencies as they happen in Real-Time, could cause repainting when the conditions are met but canceled at a later time before bar closes.
🔲 Alerts
Bearish Divergence
Bullish Divergence
Bearish Hidden Divergence
Bullish Hidden Divergence
As well as the option to trigger 'any alert' call.
The Divergence Toolkit provides traders with a dynamic tool for spotting potential trend reversals and continuations. Its innovative approach to real-time divergence detection enhances the timeliness of identifying market opportunities.
Auto-magnifier / quantifytools- Overview
Auto-magnifier shows a lower timeframe view of candles and volume bars inside any main timeframe candle by zooming into it. Candles and volume bars as they develop are shown chronologically from left to right. By default, magnifier is triggered when less than 3 candles are visible on the chart.
By default, 20 lower timeframe candles are displayed by splitting main timeframe into 20 parts. The amount of candles displayed is a target rate, meaning the script will use a lower timeframe that has the closest match to 20 candles and therefore will vary a bit. Users can override automatic timeframe calculation and opt in to display any specific lower timeframe or adjust amount of candles shown (e.g. 20 -> 30 candles) per each main timeframe candle.
Example
Main timeframe set to 30 minute, candles displayed set to 20 -> Magnifying using 2 minute candles (30 minute/20 candles = 1.5 min, rounded to 2 min)
Main timeframe set to 30 minute, override set to 5 minutes -> Displaying 5 minute candles
Size of volume bars is calculated using relative volume (volume relative to volume SMA20), lowest bar representing relative volume values of under or equal to 1x the moving average and from there onwards progressively growing.
- Limitations and considerations
Amount of candles shown might flow over from the background on smaller screen sizes, in which case you would want to decrease the amount shown. Opposite is true for bigger screens, this value can be increased as more candles fit.
This indicator involves a lot of tricks with text elements to make it work automatically by zooming in. Size of wicks, bodies and volume bars are calculated by adding more text elements on big candles and less text elements on smaller candles. This means the displayed candles won't be a 100% match, but a rather a fair representation of the view, e.g. candle is green = lower timeframe candle is green, candle has a big wick = lower timeframe candle has a big wick (but not a 100% match).
Example
Magnified lower timeframe chart vs. Actual lower timeframe chart
Most mismatch will be found on the price levels where lower timeframe candles are shown, which is sacrificed for the sake of getting a better readability on the overall shape of lower timeframe price action. Users can alternatively optimize calculations for more accuracy, giving a better representation of the price levels where candles truly originated. This typically comes with the cost of worse readability however.
Example
Optimized for readability vs. Optimized for accuracy
- Visuals
All visual elements are fully customizable.
Dynamic Intraday HLC levels [Sudeb]This is a simple indicator which will mark High & Low of last three days.
Close of Previous Day
The High lines will show in RED color, Low lines in green & close lines in Yellow.
The advantage of using this indicator is - It will greyed out or fade the color of any previous day level if the price is breached of that level.
For example if 2 day's ago High price is breached by 1 day's ago High, then the 2 Day's ago High level color will greyed out in current day chart. Thus giving you a confirmation whether it's a fresh or already tested levels.
Breaker Blocks Screener | Flux Charts💎 GENERAL OVERVIEW
Introducing our new Breaker Blocks Screener! This screener can provide information about the latest breaker blocks in up to 5 tickers. You can also customize the algorithm that finds the breaker blocks and the styling of the screener.
Features of the new Breaker Blocks Screener :
Find Latest Breaker Blocks Accross 5 Tickers
Latest Status, Restests & Volume
Customizable Algoritm / Styling
📌 HOW DOES IT WORK ?
Breaker blocks form when an order block fails, or "breaks". It is often associated with market going in the opposite direction of the broken order block, and they can be spotted by following order blocks and finding the point they get broken, ie. price goes below a bullish order block.
The volume of a breaker block is simply the total volume of the bar that the original order block is broken. Often the higher the breaking bar's volume, the stronger the breaker block is.
This screener then finds breaker blocks accross 5 different tickers, and shows the latest information about them.
Status ->
Far -> The current price is far away from the breaker block.
Approaching ⬆️/⬇️ -> The current price is approaching the breaker block, and the direction it's approaching from.
Inside -> The price is currently inside the breaker block.
Retests -> Retest means the price to invalidate the breaker block, but failed to do so. Here you can see how many times the price retested the breaker block.
For the volume, check the top of the "How Does It Work" section.
🚩UNIQUENESS
This screener can detect latest breaker blocks and give information about them for up to 5 tickers. This saves the user time by showing them all in a dashboard at the same time. The screener shows the number of the retests of the breaker block as an unique trait. Another unique ability of the screener is that it shows the latest valid breaker block's volume in the dashboard.
⚙️SETTINGS
1. Tickers
You can set up to 5 tickers for the screener to scan breaker blocks here. You can also enable / disable them and set their individual timeframes.
2. General Configuration
Zone Invalidations -> Select between Wick & Close price for Order & Breaker Block Invalidation.
Swing Length -> Swing length is used when finding order block formations. Smaller values will result in finding smaller order blocks.
DEMA Adjusted Average True Range [BackQuant]The use of the Double Exponential Moving Average (DEMA) within your Adjusted Average True Range (ATR) calculation serves as a cornerstone for enhancing the indicator's responsiveness to market changes. To delve deeper into why DEMA is employed specifically in the context of your ATR calculation, let's explore the inherent qualities of DEMA and its impact on the ATR's performance.
DEMA and Its Advantages
As previously mentioned, DEMA was designed to offer a more responsive alternative to the traditional Exponential Moving Average (EMA). By giving more weight to recent price data, DEMA reduces the lag typically associated with moving averages. This reduction in lag is especially beneficial for short-term traders looking to capitalize on trend reversals and other market movements as swiftly as possible.
The calculation of DEMA involves the following steps:
Calculate EMA1: This is the Exponential Moving Average of the price.
Calculate EMA2: This is the Exponential Moving Average of EMA1, thus it is a smoothing of a smoothing, leading to a greater lag.
Formulate DEMA: The formula
EMA1 = EMA of price
EMA2 = EMA of EMA1
DEMA = (2 x EMA1) - EMA2
effectively doubles the weighting of the most recent data points by subtracting the lagged, double-smoothed EMA2 from twice the single-smoothed EMA1.
This process enhances the moving average's sensitivity to recent price movements, allowing the DEMA to adhere more closely to the price bars than either EMA1 or EMA2 alone.
Integration with ATR
In the context of your ATR calculation, the integration of DEMA plays a crucial role in defining the indicator's core functionality. Here's a detailed explanation of how DEMA affects the ATR calculation:
Initial Determination of DEMA : By applying the DEMA formula to the chosen source data (which can be adjusted to use Heikin Ashi candle close prices for an even smoother analysis), you set a foundation for a more reactive trend-following mechanism within the ATR framework.
Application to ATR Bands : The calculated DEMA serves as the central line from which the ATR bands are derived. The ATR value, multiplied by a user-defined factor, is added to and subtracted from the DEMA to form the upper and lower bands, respectively. This dynamic adjustment not only reflects the volatility based on the ATR but does so in a way that is closely aligned with the most recent price action, thanks to the utilization of DEMA.
Enhanced Signal Quality : The responsiveness of DEMA ensures that the ATR bands adjust more promptly to changes in market conditions. This quality is vital for traders who rely on the ATR bands to identify potential entry and exit points, trend reversals, or to assess market volatility.
By employing DEMA as the core component in calculating the Adjusted Average True Range, your indicator leverages DEMA's reduced lag and increased weight on recent data to provide a more timely and accurate measure of market volatility. This innovative approach enhances the utility of the ATR by making it not only a tool for assessing volatility but also a more reactive indicator for trend analysis and trading signal generation.
The main concept of combining these is to reduce lag, get a more robust signal and still capture clear trends over medium time horizons.
For me, this is best used in confluence with other indicators, it can be made faster in order to get fasters response time, or slower. This is all depending on the needs of you as a trader.
User Inputs:
The script offers several user-configurable inputs, such as the period lengths for DEMA and ATR calculations, the multiplication factor for the ATR, and options to use Heikin Ashi candles or standard price data. Additionally, it allows for the toggling of visual features, like the plotting of the DEMA ATR and its moving average, and the application of color-coded trends on price bars.
Additional Features:
Moving Average Confluence: Traders can opt to display a moving average of the DEMA ATR, choosing from various types (e.g., SMA, EMA, HMA). This feature provides a layer of confluence, aiding in the identification of trend direction and strength.
Trend Identification :
The script employs logical conditions to ascertain the trend direction based on the movement of the DEMA ATR. It assigns colors to represent bullish or bearish trends, which are reflected in the plotted lines and the coloring of price bars.
Alerts :
Customizable alert conditions for trend reversals enhance the utility of the indicator for active trading, notifying users of significant changes in trend direction.
1D Backtests
We include these backtests as a general proxy for how they work.
Please do your own calibrating to suit it to your own needs and backtest.
Past results don't = future results but they can help you understand how it functions.
INDEX:BTCUSD
INDEX:ETHUSD
BINANCE:SOLUSD
Magic VIBs V1Introducing the "Magic Vib Indicator" V1 Adeed more extention so it works better on higher time frames, Plus a colour changer so now you can pick a colour for bullish and bearish
a powerful tool designed to identify and highlight unique market scenarios known as "magic volume imbalances." This indicator is specifically crafted to recognize specific candlestick patterns that have demonstrated a significant impact on price movements.
The Magic Vib Indicator is meticulously engineered to detect a particular pattern, which occurs when the high of the first candle aligns perfectly with the open of the subsequent candle, while simultaneously witnessing the close of the first candle matching the low of the second candle. These precise conditions generate what is commonly referred to as a "magic vib."
This indicator has been developed with the sole purpose of capturing these magical moments in the market. By systematically scanning and analyzing price data, it spots instances where these extraordinary price imbalances occur. Once identified, the indicator promptly marks these candles on your trading platform, providing clear visual cues for enhanced decision-making.
The Magic Vib Indicator acts as a catalyst for traders and investors, as it has proven to be a reliable precursor to significant price reactions. These marked candles act as potent signals, suggesting an impending shift in market sentiment and a high probability of substantial price movement. The resulting price action often sees significant volatility, making it an enticing opportunity for those seeking substantial gains.
However, it's important to note that while the Magic Vib Indicator offers valuable guidance, it should not be the sole basis for trading decisions. It is crucial to incorporate other technical and fundamental analysis tools, risk management strategies, and market awareness to achieve consistent success.
In summary, the Magic Vib Indicator represents a breakthrough in technical analysis, specifically tailored to identify and mark candles exhibiting the remarkable characteristics of a "magic volume imbalance." By harnessing the power of this indicator, traders can anticipate substantial price reactions, allowing them to seize opportunities and maximize their trading outcomes.
PA Helper - Draw Next 5 CandlesA user-friendly tool designed for a quick visual preview of the next 5 candles on your trading chart.
Here's how to use it effortlessly:
Set Open Prices:
Adjust the open prices for the upcoming 5 candles using the inputs labeled Next close #1 to Next close #5.
Toggle Candles:
Use the checkboxes (p1 to p5) to enable or disable the drawing of each corresponding next candle.
Offset Option:
Customize your preview by toggling the offset option:
If offset is set to false, the drawing starts from the current candle's close, providing insight into the next 5 candles relative to the current one.
If offset is set to true, the drawing begins with the next candle, offering a preview of the upcoming 5 candles, effectively skipping the current one.
Visual Representation:
The indicator visually displays the next 5 candles on your chart based on your selected open prices, offering a clear and tailored insight into potential market movements.
Fair Value Gaps
Introducing the Fair Value Gaps (FVG) Indicator by OmegaTools, a distinctive and analytical tool designed for TradingView. This script meticulously identifies and visualizes fair value gaps within the market, offering traders a nuanced understanding of potential price movement areas that are not immediately apparent through traditional analysis.
Concept and Methodology:
Fair Value Gaps are identified as areas on a chart where the price has skipped over, leaving a 'gap' that has not been filled. These gaps often occur due to sudden market movements triggered by news events, changes in market sentiment, or large orders that move the price significantly. The FVG Indicator detects these gaps by analyzing price action and identifying discrepancies between high and low prices over a specified period. This approach is rooted in the belief that markets tend to return to these unfilled spaces, providing potential opportunities for traders.
How It Works:
The indicator scans the chart for gaps between the high of one session and the low of the next (or vice versa), marking these gaps visually for easy identification.
Users can customize the lookback period to adjust the sensitivity of the indicator to recent versus historical data.
The FVG Indicator employs color-coding to distinguish between bullish and bearish gaps, allowing traders to quickly gauge market sentiment around these gaps.
Using the FVG Indicator:
Apply the indicator to any chart on TradingView and adjust the input settings, including the extension of FVGs and aesthetic preferences like color, to suit your analysis style.
Use the visual cues provided by the FVG Indicator to identify potential areas where the market may move to fill the gaps.
Combine the insights from the FVG Indicator with other technical analysis tools or fundamental analysis to validate potential trading opportunities.
Originality and Usefulness:
The FVG Indicator stands out due to its focused approach to identifying and visualizing fair value gaps, a concept that is often overlooked in conventional market analysis. By providing a clear visual representation of these gaps, the indicator adds depth to market analysis, aiding in the identification of potential price reversal zones or continuation signals.
Disclaimer and Responsible Use:
The financial markets are complex and unpredictable. The FVG Indicator is designed to offer analytical insights and should be used as part of a comprehensive trading strategy. It does not guarantee profits or predict market movements with absolute certainty. Traders are encouraged to use this tool judiciously, alongside proper risk management practices. Remember, past performance does not guarantee future results, and trading involves risks, including the potential loss of investment.
Liquidity Finder🔵 Introduction
The concept of "liquidity pool" or simply "liquidity" in technical analysis price action refers to areas on the price chart where stop losses accumulate, and the market, by reaching those areas and collecting liquidity (Stop Hunt), provides the necessary energy to move the price. This concept is prominent in the "ICT" and "Smart Money" styles. Imagine, as depicted below, the price is at a support level. The general trader mentality is that there is "demand" for the asset at this price level, and this demand will outweigh "supply" as before. So, it is likely that the price will increase. As a result, they start buying and place their stop loss below the support area.
Stop Hunt areas are essentially traders' "stop loss" levels. These are the liquidity that institutional and large traders need to fill their orders. Consequently, they penetrate the price below support areas or above resistance areas to touch their stop loss and fill their orders, and then the price trend reverses.
Cash zones are generally located under "Swings Low" and above "Swings High." More specifically, they can be categorized as support levels or resistance levels, above Double Top and Triple Top patterns, below Double Bottom and Triple Bottom patterns, above Bearish Trend lines, and below Bullish Trend lines.
Double Top and Triple Top :
Double Bottom and Triple Bottom :
Bullish Trend line and Bearish Trend line :
🔵 How to Use
To optimally use this indicator, you can adjust the settings according to the symbol, time frame, and your needs. These settings include the "sensitivity" of the "liquidity finder" function and the swing periods related to static and dynamic liquidity lines.
"Statics Liquidity Line Sensitivity" is a number between 0 and 0.4. Increasing this number decreases the sensitivity of the "Statics Liquidity Line Detection" function and increases the number of lines identified. The default value is 0.3.
"Dynamics Liquidity Line Sensitivity" is a number between 0.4 and 1.95. Increasing this number increases the sensitivity of the "Dynamics Liquidity Line Detection" function and decreases the number of lines identified. The default value is 1.
"Statics Period Pivot" is set to 8 by default. By changing this number, you can specify the period for the static liquidity line pivots.
"Dynamics Period Pivot" is set to 3 by default. By changing this number, you can specify the period for the dynamic liquidity line pivots.
🔵 Settings
Access to adjust the inputs of Static Dynamic Liquidity Line Sensitivity, Dynamics Liquidity Line Sensitivity, Statics Period Pivot, and Dynamics Period Pivot is possible from this section.
Additionally, you can enable or disable liquidity lines as needed using the buttons for "Show Statics High Liquidity Line," "Show Statics Low Liquidity Line," "Show Dynamics High Liquidity Line," and "Show Dynamics Low Liquidity Line."
