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Liquidity Price Depth Chart [LuxAlgo]The Liquidity Price Depth Chart is a unique indicator inspired by the visual representation of order book depth charts, highlighting sorted prices from bullish and bearish candles located on the chart's visible range, as well as their degree of liquidity. Note that changing the chart's visible range will recalculate the indicator. 🔶 USAGE The indicator can be used to visualize sorted bullish/bearish prices (in descending order), with bullish prices being highlighted on the left side of the chart, and bearish prices on the right. Prices are highlighted by dots, and connected by a line. The displacement of a line relative to the x-axis is an indicator of liquidity, with a higher displacement highlighting prices with more volume. These can also be easily identified by only keeping the dots, visible voids can be indicative of a price associated with significant volume or of a large price movement if the displacement is more visible for the price axis. These areas could play a key role in future trends. Additionally, the location of the bullish/bearish prices with the highest volume is highlighted with dotted lines, with the returned horizontal lines being useful as potential support/resistances. 🔹 Liquidity Clusters Clusters of liquidity can be spotted when the Liquidity Price Depth Chart exhibits more rectangular shapes rather than "V" shapes. The steepest segments of the shape represent periods of non-stationarity/high volatility, while zones with clustered prices highlight zones of potential liquidity clusters, that is zones where traders accumulate positions. 🔹 Liquidity Sentiment At the bottom of each area, a percentage can be visible. This percentage aims to indicate if the traded volume is more often associated with bullish or bearish price variations. In the chart above we can see that bullish price variations make 63.89% of the total volume in the range visible range. 🔶 SETTINGS 🔹 Bullish Elements Bullish Price Highest Volume Location: Shows the location of the bullish price variation with the highest associated volume using one horizontal and one vertical line. Bullish Volume %: Displays the bullish volume percentage at the bottom of the depth chart. 🔹 Bearish Elements Bearish Price Highest Volume Location: Shows the location of the bearish price variation with the highest associated volume using one horizontal and one vertical line. Bearish Volume %: Displays the bearish volume percentage at the bottom of the depth chart. 🔹 Misc Volume % Box Padding: Width of the volume % boxes at the bottom of the Liquidity Price Depth Chart as a percentage of the chart visible range
Pine Script®指標
由LuxAlgo提供
16
Range Detector [LuxAlgo]The Range Detector indicator aims to detect and highlight intervals where prices are ranging. The extremities of the ranges are highlighted in real-time, with breakouts being indicated by the color changes of the extremities. 🔶 USAGE Ranging prices are defined by a period of stationarity, that is where prices move within a specific range. Detecting ranging markets is a common task performed manually by traders. Price breaking one of the extremities of a range can be indicative of a new trend, with an uptrend if price breaks the upper range extremity, and a downtrend if price breaks the lower range extremity. Ranges are highlighted as zones and are set retrospectively, that is the starting point of a range is offset in the past. The exact moment a range is detected is highlighted by a gray background color. The average between the maximum/minimum of a zone is also highlighted as a dotted line and is also set retrospectively. The range extremities are set in real-time, blue extremities indicate the range extremities were not broken, green extremities indicate that price broke the upper range extremity, while red extremities indicate price broke the lower range extremity. Extremities are extended until a new range is detected, allowing past ranges extremities can be used as future support/resistances. 🔶 DETAILS The detection algorithm used to detect ranges tests if all the prices within a user-set window are all within two extremities. These extremities are determined by the mean of the detection window plus/minus an ATR value. When a new range is detected, the script checks if this new range overlaps with a previously detected range, if this is the case, both ranges are merged into one; updating the extremities of the previous range. This can be observed with the real-time extremities changing within a highlighted zone. 🔶 SETTINGS Minimum Range Length: Minimum amount of bars needed to detect a range. Range Width: Multiplicative factor for the ATR used to detect new ranges. Lower values detect ranges with a lower width. Using higher values might return false positives. ATR Length: ATR length used to determine the range width.
Pine Script®指標
由LuxAlgo提供
73
Fibonacci Ranges (Real-Time) [LuxAlgo]The "Fibonacci Ranges" indicator combines Fibonacci ratio-derived ranges (channels), together with a Fibonacci pattern of the latest swing high/low. 🔶 USAGE The indicator draws real-time ranges based on Fibonacci ratios as well as retracements. Breakouts from a Fibonacci Channel are also indicated by labels, indicating a potential reversal. Each range extremity/area can also be used as support/resistance. 🔶 CONCEPTS Fibonacci Channels Latest Fibonacci Both, Latest Fibonacci and Fibonacci Channels , display different Fibonacci levels (labels not included in the code): However, the 2 react in a totally different way. 🔹 Fibonacci Channels 2 conditions must be fulfilled until a Fibonacci Channel is displayed: New swing high/low close has to be between chosen limits/levels ( Break level ) As visual guidance, chosen Break levels are accentuated by 2 small gray blocks: Once the channel is displayed, it will remain visible until x consecutive bars break out of the chosen Break level at closing time. • x consecutive bars is set by Break count . The amount of breaks is counted in the code. When the price, without breaking the user-set limit, closes back between the 2 levels, the count is reset to 0. By enabling Channels and Shadows you can see previous channels (" Shadows ", which is always delayed with 1 bar) Previous channels can be helpful in finding potential support/resistance areas, especially from large channel blocks The more narrow Break levels are set the less chance the price closes between these 2 levels, and the quicker close breaks out. In other words, narrow levels give fewer & smaller channels, broader levels give more & larger channels. Note: • swing settings: L & R • Break count (x consecutive bars that close outside chosen levels to invalidate the Fibonacci Channel ) will also be of influence in displaying the channels. • Show breaks enable you to visualize signals when there is a break: • Alerts can also be set ( Break Down / Break Up ) 🔹 Latest Fibonacci This displays the Fibonacci levels between the latest swing high and swing low, independently from the Fibonacci Channel . The Lastest Fibonacci can be helpful in detecting the current trend against the larger Fibonacci Channel . 🔶 SETTINGS 🔹 Swing Settings L: set left of pivothigh / pivotlow R: set right of pivothigh / pivotlow 🔹 Fibonacci Channels Channel : Channel / Channels + Shadows / None Break level -0.382 - 1.382   0.000 - 1.000   0.236 - 0.764   0.382 - 0.618 Break count 🔹 Fibonacci Toggle Colours: [ -0.382 - 0 ], [ 0.236 - 0.382 ], [ 0.5 ], [ 0.618 - 0.764 ], [ 1 - 1.382 ]
Pine Script®指標
由LuxAlgo提供
25
Doji TrenderDoji Trender searches multiple timeframes for candles where open and close are less than dojiPercent apart (default 0.025%), and plots the trends between them. Experiment with dojiPercent to change the number of "dojis" detected. I will add doji sub-type indication if it appears to be meaningful. By default, it plots the 5m (red), 15m (orange), 1h (yellow), 4h (green), and chart (cyan). If the chart timeframe is any of the configurable ones, the chart copy won't be drawn. (I might reverse that, so that cyan is always drawn.) Since doji points are somewhat sparse, and the lookback is short (default 10), the EMA's make drastic corrections toward new indecision. (I'm not convinced the EMA's are useful and/or relevant.) This works on any timeframe, but seems to work best on the 1D. (5m is somewhat irrelevant on the 1D, so there are tweaks to be made.) Dojis from a timeframe are corrections to a doji trend from a higher timeframe. Red corrects to orange, corrects to yellow, corrects to green. If the chart timeframe is > 4h, the others will correct to cyan. Otherwise, cyan will fit in-between the adjacent timeframes. Multiple indecision candles within a short timespan forming sharp peaks indicate retests, backtests, rejections, and bounces off of support/resistance. With a correct larger-timeframe channel, one would expect lower-timeframe indecision at/along typical levels. Although the doji's have unpredictable wicks, the dots printed by this indicator do not. Matched with volume, they reveal the prices where the most violent battles between bulls and bears took place, and are likely to take place, again. One could: 1) Put trends on the longest segments, then look for confluence along them, and/or near the intersections. 2) Use lower-timeframe doji trends to estimate the direction of the higher-timeframe doji trends, before they become detectable to Doji Trender. Confirm by looking for confluence where those trends intersect with horizontal support/resistance, this indicator, and/or others. 3) Notice that multiple legs on the same trend line are close to parallel, if not colinear. 4) Notice that many of the doji segments point toward (very-distant) future dojis. 5) Drop horizontal lines on the dots where we previously reversed, and find confluence in VRVP when we revisit them. 6) Create parallel (fib/whatever) channels that more-closely match MM's intent. The segments one uses to set the angle of the channel, and those used to align the channel, vertically, are not always the same: a) Match the channel slope to as many doji slopes as possible, considering every trend. b) Figure out where the channel actually belongs, re-considering every trend.
Pine Script®指標
由Kerbal提供
Price Action (ValueRay)With this indicator, you gain access to up to 5 moving averages from a selection of 15 different types. This flexibility allows you to customize your trading strategy based on your preferences and market conditions. Whether you're a fan of simple moving averages, exponential moving averages, or weighted moving averages, our indicator has got you covered! Additionally, all the MAs are Multi-Time-Frame! The indicator also provides trading signals. By analyzing market trends and price movements, it generates accurate buy and sell signals, providing you with clear entry and exit points. You can choose between Fast, Mid, and Slow signal speeds. Trendlines are another crucial aspect of effective trading, and our indicator seamlessly integrates them, helping you visualize the market's direction. Furthermore, the indicator empowers you with recent highs and lows. By highlighting these key levels, it becomes easier than ever to spot support and resistance areas, aiding you in making well-informed trading choices. Additionally, you can switch the ADR% (Average Daily Range as a Percentage) on and off. This number instantly provides you with information on how much the stock usually moves per day as a percentage. Key Features: Up to 5 Moving Averages, each with its own timeframe. SMA, EMA, WMA, RMA, Triangular, Volume Weighted, Elastic Volume Weighted, Least Squares, ZLEMA, Hull, Double EMA, Triple EMA, T3, ALMA, KAMA (more to come in future versions). Recent High and Low Pivot Points acting as support/resistance. Trendline indicating the current trend. Buy/Sell Signals (recommended for use as exit points, stop loss, or take profit levels). Signals can have three different speeds: Fast, Mid, and Slow. You can switch them anytime depending on how quickly or slowly you want to exit a trade. The predefined colors are best suited for a dark background, and the predefined settings provide a solid starting point that many traders use in their daily work. Unlock the full potential of your trading strategy with our comprehensive indicator and start making informed trading decisions today!
Pine Script®指標
由derMatzeImNetz提供
8
Liquidity Hunter - FattyTradesThis indicator is used to automatically identify and plot two forms of liquidity that will be targeted by market makers. The first form of liquidity is based on multi-time fame highs and lows. It plots 1H, 4H, D, W, & M liquidity on an intraday chart to make it easier to identify. I believe hat liquidity is what drives the market and the most common form of this liquidity can be identified through higher time frame highs and lows. You can use whatever method you prefer to determine which liquidity pool will be targeted. When the liquidity is purged, it will be shown as dotted lines. This should not be used as traditional support/resistance, but rather as targets for the market. The second form of liquidity is in the form of imbalances or fair value gaps. You can select a higher time frame to be plotted along with the current time frame you're viewing to identify imbalances that will likely be targeted intraday. We know that higher time frame fair value gaps work equally well as targets for market makers. When a higher time frame FVG is broken into, it can also act as a very powerful form of support and resistance. By default, when a fair value gap has been mitigated it will be removed from the chart, however this can be disabled. Between these two forms of market maker liquidity targets on the chart, it will be easier to formulate a thesis intraday to determine where the market will move. It can help minimize the amount of switching between higher time frames that needs to be done, allowing you to identify targets while trading on your favorite intraday time frame for optimal risk/reward. In the near future, I will build in alerting mechanism to alert when liquidity on higher time frames as been purged/mitigated.
Pine Script®指標
由kfatkin提供
11
CPR PRICE ACTION TODAY AND TOMMOROWThis script is based on the Secret of Pivot Boss book by Frank Ochoa. Suitable for Intraday Trading. You can view the Daily timeframe CPR / support/resistance. You can view the Weekly timeframe CPR / support/resistance. You can view the Monthly timeframe CPR / support/resistance. You can also view Previous Day High/Low. You can also view Previous Week High/Low. You can also view Previous Month High/Low. You can also turn it on/off as per your wish.
Pine Script®指標
由thejatin提供
9
Polynomial Regression Extrapolation [LuxAlgo]This indicator fits a polynomial with a user set degree to the price using least squares and then extrapolates the result. Settings Length: Number of most recent price observations used to fit the model. Extrapolate: Extrapolation horizon Degree: Degree of the fitted polynomial Src: Input source Lock Fit: By default the fit and extrapolated result will readjust to any new price observation, enabling this setting allow the model to ignore new price observations, and extend the extrapolation to the most recent bar. Usage Polynomial regression is commonly used when a relationship between two variables can be described by a polynomial. In technical analysis polynomial regression is commonly used to estimate underlying trends in the price as well as obtaining support/resistances. One common example being the linear regression which can be described as polynomial regression of degree 1. Using polynomial regression for extrapolation can be considered when we assume that the underlying trend of a certain asset follows polynomial of a certain degree and that this assumption hold true for time t+1...,t+n . This is rarely the case but it can be of interest to certain users performing longer term analysis of assets such as Bitcoin. The selection of the polynomial degree can be done considering the underlying trend of the observations we are trying to fit. In practice, it is rare to go over a degree of 3, as higher degree would tend to highlight more noisy variations. Using a polynomial of degree 1 will return a line, and as such can be considered when the underlying trend is linear, but one could improve the fit by using an higher degree. The chart above fits a polynomial of degree 2, this can be used to model more parabolic observations. We can see in the chart above that this improves the fit. In the chart above a polynomial of degree 6 is used, we can see how more variations are highlighted. The extrapolation of higher degree polynomials can eventually highlight future turning points due to the nature of the polynomial, however there are no guarantee that these will reflect exact future reversals. Details A polynomial regression model y(t) of degree p is described by: y(t) = β(0) + β(1)x(t) + β(2)x(t)^2 + ... + β(p)x(t)^p The vector coefficients β are obtained such that the sum of squared error between the observations and y(t) is minimized. This can be achieved through specific iterative algorithms or directly by solving the system of equations: β(0) + β(1)x(0) + β(2)x(0)^2 + ... + β(p)x(0)^p = y(0) β(0) + β(1)x(1) + β(2)x(1)^2 + ... + β(p)x(1)^p = y(1) ... β(0) + β(1)x(t-1) + β(2)x(t-1)^2 + ... + β(p)x(t-1)^p = y(t-1) Note that solving this system of equations for higher degrees p with high x values can drastically affect the accuracy of the results. One method to circumvent this can be to subtract x by its mean.
Pine Script®指標
由LuxAlgo提供
33
Moving Average WavesThis indicator displays up to 20 fully editable moving averages. Go to MA Waves settings and play around to get your favorite visual display, there are plenty of combinations to chose from. Depending on time frame and tuning, it can be used as a trend/momentum & volatility indicator or to identify supports/resistances. Longer moving averages represent a stronger "area of value" and the price loves it. I made this one mostly because it looked cool, if you get ideas to make better use of it let me know. Hope you enjoy!
Pine Script®指標
由LucasVivien提供
6
Volume Adaptive Chikou Scalping StudyIDEA PLACEMENT This indicator uses “Chikou” cross concept of Ichimoku cloud indicator and enhances usage of High/Low data with Volume Breakout and Volatility based dynamic adaption. I’ve been working on making Moving Averages more adaptive based on Volume Breakout and Volatility but as we know Mas work better on close values. I wanted to create a study that may have maximum data available and that’s how I came up with the concept of making adaptive Ichimoku Cloud. Except, I used different concept than Ichimoku. As we know that Tenkan-sen and Kijun-sen from Ichimoku Cloud average out highest and lowest values within 26 and 9 period respectively but I tried making it Volume Breakout and Volatility based Adaptive but couldn’t get better results. Along the way I came up with an idea of instead of averaging out just keeping the High/Low values data separate and intact and to do so I took Linear regression of High values of Volume Breakout and Volatility based Adaptive dynamic period and similarly with Low values. Then the strategy was to use Chikou for crossover and crossunder indication and for this purpose I used Chikou with same dynamic length as used before in High/Low linear regression. The idea becomes simple as when Adaptive Dynamic Chikou crosses Adaptive Dynamic Linear Regression of High/Low values then Lowest / Highest value within current Adaptive Dynamic Length becomes the next Support / Resistance. SIGNALS Not every Chikou cross would give signal instead signal should be supported by either Volume Breakout or Volatility whatever you have selected from. FIBONACCI EVELOPE BANDS I’ve included ATR based Fibonacci multiple bands which would act as good support/resistance zones. DEFAULT SETTINGS I’ve set default Minimum length to 20 and Maximum length to 50 which I’ve found works best for almost all timeframes but you can change this delta to adpat your timeframe accordingly with more precision. Dynamic length adoption is enabled based on both Volume and Volatility but only one or none of them can also be selected. Trend signals verification is enabled based on Volume but Volatility can also be enabled for more precise confirmations. In “RVSI” settings TFS Volume Oscillator is set to default but others work good too especially Volume Zone Oscillator. For more details about Volume Breakout you can check “MZ RVSI Indicator” ATR breakout is set to be true if period 14 exceeds period 46 but can be changed if more adaption with volatility is required. FURTHER ENHANCEMENTS I’ve used Linear Regression of High/Low values because I found better results with it but SMA and HMA can also be used. I’m planning to perpetually use this study for Dynamically length adaption and trades confirmations in other strategies.
Pine Script®指標
由MightyZinger提供
3
Baekdoo baselineHi forks, I'm trader Baekdoosan who trading Equity from South Korea. This Baekdoo baseline will give you the idea of big whale's approximate average price. The idea behind this indicator is to combine volume and price. Here's one of the equation. ... HT4=highest(volume, 250) NewH4=valuewhen(volume>HT4 , (open+close+low+high+close)/5, 1) result4=ema(NewH4, 20) ... As you can see it will update when highest volume is updated by certain period of time. At that update will be the price of the close weighted price. and I put shift value of 20 (offset of input value) due to putting time theorem of Ichimoku Balance Table. 20 days means for 1 month of market day. Why this idea work? It is mainly for the support / resistance. Resistance is made for lots of individual's buy. When the price goes down, they are tend to hold. As time goes by price getting high to their average price, then they are selling it with small profit or the same price or with small loss. So resistance is made by lots of individuals. And supports are made by small number of big whales. If we see the volume only, then we cannot differentiate easily for lots of individuals and small number of big whales. But lower price's large volume will most probably be the whale where higher price's large volume will most probably tons of individuals. hope this will help your trading on equity as well as crypto. I didn't try it on futures. Best of luck all of you. Gazua~!
Pine Script®指標
由traderbaekdoosan提供
1
Horizontal line for Market open price by NB(ENG) Since meaningful movements starts based on the first bar of the market's opening time (usually GMT + 0), this indicator is creat to be used as a tool to use it as support and resistance. Look at the bar of just 15 minutes passed after market opened, and when the bar closed with positive candlestick then draw horizontal line at high price, when the bar closed negative candlestick then draw horizontal line at low price. I use diffrent colors to help visualization. If you look these at from a distance, you can see sections that are tightly entangled and sections those are not. This makes it possible to distinguish between strong and weak support/resistance sections. For convenience, I put only color and transparency adjustments. No future upgrades are planned. Thanks to ADOL_ for this great idea, and also to Bjorn Mistiaen for helping me to make the source code. (KOR) 마켓의 오픈 시간(보통 GMT 0시)에 첫 바를 기준으로 의미 있는 움직임이 시작되기에 이를 지지와 저항으로 활용하는 도구로 쓰기 위하여 만든 지표입니다. GMT 0시 15분 봉 마감 기준으로, 양봉이면 그 양봉의 고점을 이어 가로줄을 긋고, 음봉이면 저점을 이어 가로줄을 긋습니다. 서로 색을 달리하여 시각화를 돕습니다. 이를 멀리서 보면 촘촘히 얽힌 구간이 나오고 그렇지 않은 구간이 나옵니다. 이를 통해 지지/저항이 강한 구간과 약한 구간을 구별할 수가 있습니다. 편의를 돕기 위해 색과 투명도 조절까지만 넣어 놓았습니다. 추후 업그레이드는 예정되어 있지 않습니다. 이 대단한 아이디어를 주신 ADOL_에게 감사드리며, 소스 코드를 만들게 해주신 Bjorn Mistiaen에게도 감사를 드립니다.
Pine Script®指標
由NBForever提供
8
On Chart Anticipated Moving Average Crossover IndicatorIntroducing the on chart moving average crossover indicator. This is my On Chart Pinescript implementation of the Anticipated Simple Moving Average Crossover idea. This indicator plots 6 user defined moving averages. It also plots the 5 price levels required on the next close to cross a user selected moving average with the 5 other user defined moving averages It also gives signals of anticipated moving average crosses as arrows on chart and also as tradingview alerts with a very high degree of accuracy Much respect to the creator of the original idea Mr. Dimitris Tsokakis Moving Averages A moving average simplifies price data by smoothing it out by averaging closing prices and creating one flowing line which makes seeing the trend easier. Moving averages can work well in strong trending conditions, but poorly in choppy or ranging conditions. Adjusting the time frame can remedy this problem temporarily, although at some point, these issues are likely to occur regardless of the time frame chosen for the moving average(s). While Exponential moving averages react quicker to price changes than simple moving averages. In some cases, this may be good, and in others, it may cause false signals. Moving averages with a shorter look back period (20 days, for example) will also respond quicker to price changes than an average with a longer look back period (200 days). Trading Strategies — Moving Average Crossovers Moving average crossovers are a popular strategy for both entries and exits. MAs can also highlight areas of potential support or resistance. The first type is a price crossover, which is when the price crosses above or below a moving average to signal a potential change in trend. Another strategy is to apply two moving averages to a chart: one longer and one shorter. When the shorter-term MA crosses above the longer-term MA, it's a buy signal, as it indicates that the trend is shifting up. This is known as a "golden cross." Meanwhile, when the shorter-term MA crosses below the longer-term MA, it's a sell signal, as it indicates that the trend is shifting down. This is known as a "dead/death cross." MA and MA Cross Strategy Disadvantages Moving averages are calculated based on historical data, and while this may appear predictive nothing about the calculation is predictive in nature. Moving averages are always based on historical data and simply show the average price over a certain time period. Therefore, results using moving averages can be quite random. At times, the market seems to respect MA support/resistance and trade signals, and at other times, it shows these indicators no respect. One major problem is that, if the price action becomes choppy, the price may swing back and forth, generating multiple trend reversal or trade signals. When this occurs, it's best to step aside or utilize another indicator to help clarify the trend. The same thing can occur with MA crossovers when the MAs get "tangled up" for a period of time during periods of consolidation, triggering multiple losing trades. Ensure you use a robust risk management system to avoid getting "Chopped Up" or "Whip Sawed" during these periods.
Pine Script®指標
由The_Caretaker提供
2
Anticipated Simple Moving Average Crossover IndicatorIntroducing the Anticipated Simple Moving Average Crossover Indicator This is my Pinescript implementation of the Anticipated Simple Moving Average Crossover Indicator Much respect to the original creator of this idea Dimitris Tsokakis This indicator removes one bar of lag from simple moving average crossover signals with a high degree of accuracy to give a slight but very real edge. Moving Averages A moving average simplifies price data by smoothing it out by averaging closing prices and creating one flowing line which makes seeing the trend easier. Moving averages can work well in strong trending conditions, but poorly in choppy or ranging conditions. Adjusting the time frame can remedy this problem temporarily, although at some point, these issues are likely to occur regardless of the time frame chosen for the moving average(s). While Exponential moving averages react quicker to price changes than simple moving averages. In some cases, this may be good, and in others, it may cause false signals. Moving averages with a shorter look back period (20 days, for example) will also respond quicker to price changes than an average with a longer look back period (200 days). Trading Strategies — Moving Average Crossovers Moving average crossovers are a popular strategy for both entries and exits. MAs can also highlight areas of potential support or resistance. The first type is a price crossover, which is when the price crosses above or below a moving average to signal a potential change in trend. Another strategy is to apply two moving averages to a chart: one longer and one shorter. When the shorter-term MA crosses above the longer-term MA, it's a buy signal, as it indicates that the trend is shifting up. This is known as a "golden cross." Meanwhile, when the shorter-term MA crosses below the longer-term MA, it's a sell signal, as it indicates that the trend is shifting down. This is known as a "dead/death cross." MA and MA Cross Strategy Disadvantages Moving averages are calculated based on historical data, and while this may appear predictive nothing about the calculation is predictive in nature. Moving averages are always based on historical data and simply show the average price over a certain time period. Therefore, results using moving averages can be quite random. At times, the market seems to respect MA support/resistance and trade signals, and at other times, it shows these indicators no respect. One major problem is that, if the price action becomes choppy, the price may swing back and forth, generating multiple trend reversal or trade signals. When this occurs, it's best to step aside or utilize another indicator to help clarify the trend. The same thing can occur with MA crossovers when the MAs get "tangled up" for a period of time during periods of consolidation, triggering multiple losing trades. Ensure you use a robust risk management system to avoid getting "Chopped Up" or "Whip Sawed" during these periods.
Pine Script®指標
由The_Caretaker提供
11
Crack XThis indicator looks for cracks (de-correlation of 2 indicators), what you have to do is simple, first look at the trend in a higher frame, there are many indicators for this, then look for cracks as wide as possible (you can configure the size in the configuration) and that they are not close to important supports / resistances. This indicator can be very useful for Swing, Coverages, to increase existing positions.The confirmation of the crack occurs when the black lines cross + bar closure. - Added Alerts
Pine Script®指標
由Dreadblitz提供
11
Zenith BladeThis script is based heavily on "Support/Resistance Zones x3" by Lij_MC What I did is went and added alerts for when price breakouts the support line/zone. You have the options to change if it is based on a zone breakout or a line breakout You also can choose when it will go off, so for example you want an alert to trigger only between 7am and 8am then you can change that in the menu. Lastly you can choose whither or not to show the Williams Alligator on the chart as I have found it beneficial in conjunction with the script since its based primarily on fractals to calculate Support and Resistance.
Pine Script®指標
由savisoffical提供
1
Support & Resistance with MA Ribbons LITE Support & Resistance with MA Ribbon LITE Overview Support & Resistance with MA Ribbon LITE is a technical analysis indicator for TradingView that combines a flexible Moving Average (MA) Ribbon with a dynamic Support & Resistance (S/R) system. The indicator is designed as a visual decision-support tool, allowing traders to evaluate trend structure, momentum context, and key price reaction zones within a single, uncluttered chart overlay. This script is published as open source under the Mozilla Public License 2.0 , encouraging transparency, learning, and community-driven development. Core Components 1. Moving Average Ribbon System The MA Ribbon consists of two configurable moving averages (Fast and Slow) with multiple calculation and smoothing options, including: EMA, SMA, WMA, VWMA DEMA, TEMA, Zero-Lag EMA Hull MA, Linear Regression MA Super Smoother, Smoothed MA, Laguerre MA Key features include: Trend-aware ribbon fill (bullish / bearish) Optional candle coloring aligned with ribbon state Minute-based anchor timeframe logic for consistent trend structure Optional MA cross, swing, and continuation markers Alert support for MA-related events The MA Ribbon is intended to provide trend context , not standalone trade signals. 2. Support & Resistance Engine The Support & Resistance system is based on pivot structure analysis and dynamically adapts to new price data. Features include: Main and strong support/resistance levels Up to 12 active levels displayed on the chart Preset sensitivities (Scalp, Intraday, Swing) and custom configuration Optional multi-timeframe (MTF) level detection Adaptive labels with automatic contrast handling Optional strength filtering based on historical interactions Optional heat map visualization reflecting level interaction frequency All levels are plotted directly on the price chart for immediate contextual reference. Alert System The script includes a configurable alert framework covering: Main and strong level touches Breakouts and breakdowns Retests of broken levels Optional rejection detection (wick beyond a level with close back inside) Cooldown logic to limit repeated alerts in consolidation phases Alerts are informational only and should always be confirmed visually. Customization & Performance Unified color presets (Classic, Aqua, Cosmic, Ember, Neon, Custom) Independent opacity control for MA Ribbon and candles Modular on/off controls for MA Ribbon and S/R components Optimized plotting to remain within TradingView limits Designed for stable performance across lower and higher timeframes Intended Use This indicator is designed to assist with chart interpretation and market structure analysis. It may help users: Identify prevailing trend conditions Observe price behavior around structurally relevant levels Combine trend context with horizontal market structure Reduce chart clutter by consolidating multiple concepts into one script This indicator is not a trading strategy, does not provide financial advice, and should be used alongside independent analysis and appropriate risk management. How to Use 1. Chart Setup Add the indicator to any chart and timeframe. Both the MA Ribbon and Support & Resistance systems are enabled by default and can be managed independently via the Master Controls section. General guidance: Higher timeframes for structural context Lower timeframes for execution and refinement Applicable across different markets and instruments 2. Using the MA Ribbon The MA Ribbon visualizes trend direction and momentum context. General interpretation: Price above both MAs → bullish bias Price below both MAs → bearish bias Ribbon color reflects trend alignment Ribbon compression may indicate consolidation or transition Optional features include candle coloring, MA cross markers, and filtered continuation arrows. Best practice: Use the MA Ribbon to identify the market regime before reacting to support or resistance levels. MA Ribbon – Minute-Based Timeframe Logic Anchor Timeframe (Minutes) Anchors MA calculations to a fixed timeframe expressed in minutes. Examples: 60 = 1 hour 240 = 4 hours 0 = use current chart timeframe How It Works The anchor automatically scales MA lengths so that the same trend structure is preserved across different chart timeframes. Example (Anchor = 60): 5-minute chart → follows 1-hour structure 15-minute chart → follows the same 1-hour structure 1-hour chart → standard calculation Show Ribbon Only If Chart TF > Anchor Optionally hides the MA Ribbon on chart timeframes lower than the anchor to reduce visual noise. 3. Using Support & Resistance Levels Support and resistance levels are derived from pivot structures and update dynamically. Level types: Main Support / Resistance (most recent and relevant) Strong Support / Resistance (confirmed pivots) Additional historical levels (up to 12 total) Usage guidelines: Focus on price behavior around levels rather than exact prices Combine level reactions with MA Ribbon trend context Use strength filtering to reduce weaker levels Heat map mode highlights frequently interacted zones 4. Combining Trend and Structure The indicator is most effective when both systems are used together: In uptrends, focus on reactions near support In downtrends, focus on reactions near resistance Breakouts are more relevant when aligned with trend context Retests gain importance when structure and trend agree Customization Tips Use preset sensitivities (Scalp / Intraday / Swing) for quick setup Enable MTF S/R to reference higher-timeframe structure Adjust label size, offset, and precision for readability Disable unused components to improve performance on lower-end systems This combined view helps improve contextual clarity and reduce noise. 5. Alerts Usage Alerts are optional and fully configurable. Cooldown settings can be used to limit repeated notifications during ranging conditions. All alerts are informational and should be visually validated. Open Source & Credits This script is released as open source under the Mozilla Public License 2.0. Parts of the MA Ribbon logic and conceptual inspiration are derived from publicly shared work by JustUncleL on TradingView. Respect and thanks are extended for these contributions. You are free to: Study the code Modify it for personal use Share improvements under the same license terms Disclaimer This indicator is provided for educational and informational purposes only. No guarantees are made regarding accuracy, performance, or outcomes. Use at your own discretion.
Pine Script®指標
由alpprofitmax提供
2
Optimus S/R ZonesEnhanced S/R Zones Pro is a sophisticated Support and Resistance indicator designed for traders who need reliable, validated S/R levels with professional-grade visualization. Unlike basic pivot indicators, this tool validates levels based on historical price interaction and provides comprehensive analysis of your current position within the market structure. ✨ Key Features 📊 Extended Lookback Analysis Lookback Range: 20-500 bars (far beyond standard 80-bar limits) Pivot Strength: Adjustable 2-10 bars for confirmation Separate Controls: Independent max levels for support (1-8) and resistance (1-8) Smart Filtering: Automatic level spacing with customizable minimum distance (0.3-5%) 🎨 Advanced Zone Visualization Three Zone Styles: Filled: Solid colored zones Outlined: Border-only zones Both: Combined for maximum visibility Adjustable Transparency: 50-95% opacity control Dynamic Extension: Zones extend to the right indefinitely Custom Zone Width: 0.05-1.0% of price 💪 Level Strength System Touch Validation: Only shows levels tested multiple times Minimum Touches: Filter for 1-5 minimum confirmations Color Intensity: Stronger levels (more touches) display darker/brighter Touch Detection: Customizable sensitivity (0.1-1.0% range) Independent Display: Show touch counts without color coding 📱 Enhanced Dashboard Level Count: Active support/resistance zones Distance Metrics: Percentage to nearest S/R levels Range Position: Where price sits between S/R (0-100%) Color Coding: Visual feedback on market position Four Positions: Top/Bottom, Left/Right placement 🎭 Customizable Visuals Label Sizes: Tiny, Small, Normal, Large, Huge Adjustable Line Width: 1-4 pixels Custom Colors: Full color picker for support/resistance Optional Touch Count: Toggle touch numbers on/off Midpoint Line: Shows equilibrium between nearest S/R 🔔 Smart Alerts Proximity Alerts: Triggers when approaching support zones Resistance Alerts: Triggers when nearing resistance zones Customizable Range: Based on touch detection sensitivity 🔧 How It Works 1. Pivot Detection The indicator scans historical price action using configurable pivot strength to identify significant highs and lows. Extended lookback allows detection of major structural levels that shorter timeframes might miss. 2. Touch Validation Each potential level is validated by counting how many times price has tested it within the specified touch detection range. Only levels meeting the minimum touch threshold are displayed. 3. Strength Ranking Levels are ranked by: Number of touches (primary) Proximity to current price (secondary) This ensures the most reliable and relevant levels are always shown. 4. Smart Filtering The minimum distance filter prevents level clustering, keeping your chart clean and focusing only on distinct, actionable zones. 💡 Use Cases Swing Trading Identify major support/resistance for position entries Set profit targets at strong resistance levels Place stops below validated support zones Day Trading Quick identification of intraday S/R Monitor range position for mean reversion trades Use proximity alerts for entry timing Position Trading Extended lookback reveals major structural levels Touch count validation ensures reliability Range position helps time accumulation/distribution Risk Management Distance metrics help size positions appropriately Strong levels (high touch count) for tight stops Midpoint line for partial profit taking ⚙️ Settings Guide Core Settings Lookback Period: Start with 100 for swing trading, 50 for day trading Pivot Strength: Higher values = fewer but stronger levels Max Levels: 2-3 support and 2-3 resistance recommended Min Distance: 1.0% prevents clustering, increase for volatile assets Zone Settings Zone Width: 0.25% default works well for most assets Zone Style: "Both" for maximum visibility Extend Zones: Keep enabled to track levels forward Transparency: 85% provides good visibility without clutter Level Strength Show Level Strength: Enable for color-coded importance Min Touches: 2-3 for validated levels Touch Detection: 0.3% for precise levels, increase for volatile markets Visual Settings Label Size: Small/Normal for most charts Show Touch Count: Enable to see level validation Line Width: 2 for standard, 3-4 for presentation charts 📈 Best Practices Start Conservative: Begin with default settings, adjust based on asset volatility Combine Timeframes: Use different lookback periods on multiple charts Respect Strong Levels: Higher touch counts indicate institutional interest Watch Range Position: <30% = near support, >70% = near resistance Use Alerts: Set proximity alerts to avoid constant chart watching Validate Breaks: Zone width shows where true breaks occur vs. fakeouts 🚀 What Makes This Different Unlike basic pivot indicators that simply mark highs/lows: ✅ Validates levels through touch count analysis ✅ Ranks levels by actual strength, not just recency ✅ Visualizes zones, not just lines ✅ Quantifies your position within market structure ✅ Extends lookback far beyond standard limits ✅ Separates support and resistance controls 🎓 Tips for New Users First Time Setup: Add indicator to chart Enable dashboard in settings (default on) Observe which levels price respects Adjust lookback/strength to match your trading style Set proximity alerts for your key levels Optimization: Forex: 0.2-0.3% zone width, 100-200 lookback Stocks: 0.3-0.5% zone width, 50-150 lookback Crypto: 0.4-0.6% zone width, 100-200 lookback Indices: 0.2-0.4% zone width, 100-250 lookback ⚠️ Disclaimer This indicator is a technical analysis tool and should not be used as the sole basis for trading decisions. Support and resistance levels are not guarantees of price behavior. Always use proper risk management, combine with other analysis methods, and consider fundamental factors. Past performance does not guarantee future results.
Pine Script®指標
由Jazzman34提供
7
NW Curved Interest ZonesThis indicator automatically scans and plots curved (non-linear) interest zones using Nadaraya-Watson kernel regression smoothing to create a dynamic, adaptive "mean" curve. It then identifies and draws the strongest parallel curved zones where price has repeatedly bounced with statistical validation – perfect for non-linear, organic trending or ranging markets. How It Works (Technical Methodology) Curved Mean Calculation The core curve is generated via Nadaraya-Watson kernel regression (Gaussian weighting): Smooths closing prices over the lookback period with user-adjustable bandwidth (default 30.0) – higher = smoother/less reactive, lower = tighter fit. Range methods: "Lookback Bars" (default 400), "Fixed Start Date", or "Entire History". Channel Envelope Detection Measures maximum deviations above/below the smoothed curve across the period. Defines full channel height and base offset for percentage-based zoning. Stable Update & Anti-Repaint Logic Full recalculation only after user-defined closed bars (default 50) OR on forced break (if price escapes visible zone envelope). All data (curve points, slope for projection, levels, scores) snapshotted and frozen until next confirmed update. Prevents flickering/live-bar repainting while allowing adaptive refresh. Auto Mode Scanning When enabled: Scans channel height in % steps (default 1.0%). Each candidate creates a thin curved zone parallel to the NW curve (thickness % of price, default 0.01%). Counts valid "hits": Price touches zone and holds without break for user-defined bars (default 20). Break source: "Close" (conservative) or "Wick" (sensitive). Direction inferred from close relative to zone center. Level Selection Ranks by hit count, filters close clusters (min distance %), limits to max zones (default 8). Manual mode: Directly applies user percentages (e.g., 0/50/100 for bottom/median/top). Curved Zone Construction Zones drawn as smooth, filled polylines (curved=true) following the kernel regression shape. Historical section uses exact smoothed points; future projection uses last slope for realistic extension. Optional long future extension or limited projection. Dynamic coloring: Supply (above price), Demand (below price). Dashboard Table displays current price at each zone (stable during bar), % level, hit count (green when strong). Update status with countdown or "TRIGGERED!" on force break. How to Use Ideal for markets with natural curvature (parabolic moves, rounded bottoms/tops, organic trends). High hit counts: Proven curved support/resistance – expect strong reactions. Bandwidth: Higher (50+) for major structural curves; lower (10–20) for shorter-term adaptive zones. Hold Bars: Increase for stricter validation in noisy assets. Force Break Update: Keeps zones relevant during strong trends/breakouts. Supply Zones (Curved above price): Dynamic overhead resistance. Demand Zones (Curved below price): Dynamic underlying support. Confluence: Excellent with volume, order blocks, or divergence for entries/exits. Manual Mode: Quickly overlay classic % (e.g., channel parallels). Smooth, non-repainting curved zones provide superior visual alignment to real price action compared to linear channels. Disclaimer This indicator is a technical analysis tool and should be used in conjunction with other forms of analysis. Past performance does not guarantee future results. Always use proper risk management.
Pine Script®指標
由s3u1l提供
3
ORB Fusion🎯 CORE INNOVATION: INSTITUTIONAL ORB FRAMEWORK WITH FAILED BREAKOUT INTELLIGENCE ORB Fusion represents a complete institutional-grade Opening Range Breakout system combining classic Market Profile concepts (Initial Balance, day type classification) with modern algorithmic breakout detection, failed breakout reversal logic, and comprehensive statistical tracking. Rather than simply drawing lines at opening range extremes, this system implements the full trading methodology used by professional floor traders and market makers—including the critical concept that failed breakouts are often higher-probability setups than successful breakouts . The Opening Range Hypothesis: The first 30-60 minutes of trading establishes the day's value area —the price range where the majority of participants agree on fair value. This range is formed during peak information flow (overnight news digestion, gap reactions, early institutional positioning). Breakouts from this range signal directional conviction; failures to hold breakouts signal trapped participants and create exploitable reversals. Why Opening Range Matters: 1. Information Aggregation : Opening range reflects overnight news, pre-market sentiment, and early institutional orders. It's the market's initial "consensus" on value. 2. Liquidity Concentration : Stop losses cluster just outside opening range. Breakouts trigger these stops, creating momentum. Failed breakouts trap traders, forcing reversals. 3. Statistical Persistence : Markets exhibit range expansion tendency —when price accepts above/below opening range with volume, it often extends 1.0-2.0x the opening range size before mean reversion. 4. Institutional Behavior : Large players (market makers, institutions) use opening range as reference for the day's trading plan. They fade extremes in rotation days and follow breakouts in trend days. Historical Context: Opening Range Breakout methodology originated in commodity futures pits (1970s-80s) where floor traders noticed consistent patterns: the first 30-60 minutes established a "fair value zone," and directional moves occurred when this zone was violated with conviction. J. Peter Steidlmayer formalized this observation in Market Profile theory, introducing the "Initial Balance" concept—the first hour (two 30-minute periods) defining market structure. 📊 OPENING RANGE CONSTRUCTION Four ORB Timeframe Options: 1. 5-Minute ORB (0930-0935 ET): Captures immediate market direction during "opening drive"—the explosive first few minutes when overnight orders hit the tape. Use Case: • Scalping strategies • High-frequency breakout trading • Extremely liquid instruments (ES, NQ, SPY) Characteristics: • Very tight range (often 0.2-0.5% of price) • Early breakouts common (7 of 10 days break within first hour) • Higher false breakout rate (50-60%) • Requires sub-minute chart monitoring Psychology: Captures panic buyers/sellers reacting to overnight news. Range is small because sample size is minimal—only 5 minutes of price discovery. Early breakouts often fail because they're driven by retail FOMO rather than institutional conviction. 2. 15-Minute ORB (0930-0945 ET): Balances responsiveness with statistical validity. Captures opening drive plus initial reaction to that drive. Use Case: • Day trading strategies • Balanced scalping/swing hybrid • Most liquid instruments Characteristics: • Moderate range (0.4-0.8% of price typically) • Breakout rate ~60% of days • False breakout rate ~40-45% • Good balance of opportunity and reliability Psychology: Includes opening panic AND the first retest/consolidation. Sophisticated traders (institutions, algos) start expressing directional bias. This is the "Goldilocks" timeframe—not too reactive, not too slow. 3. 30-Minute ORB (0930-1000 ET): Classic ORB timeframe. Default for most professional implementations. Use Case: • Standard intraday trading • Position sizing for full-day trades • All liquid instruments (equities, indices, futures) Characteristics: • Substantial range (0.6-1.2% of price) • Breakout rate ~55% of days • False breakout rate ~35-40% • Statistical sweet spot for extensions Psychology: Full opening auction + first institutional repositioning complete. By 10:00 AM ET, headlines are digested, early stops are hit, and "real" directional players reveal themselves. This is when institutional programs typically finish their opening positioning. Statistical Advantage: 30-minute ORB shows highest correlation with daily range. When price breaks and holds outside 30m ORB, probability of reaching 1.0x extension (doubling the opening range) exceeds 60% historically. 4. 60-Minute ORB (0930-1030 ET) - Initial Balance: Steidlmayer's "Initial Balance"—the foundation of Market Profile theory. Use Case: • Swing trading entries • Day type classification • Low-frequency institutional setups Characteristics: • Wide range (0.8-1.5% of price) • Breakout rate ~45% of days • False breakout rate ~25-30% (lowest) • Best for trend day identification Psychology: Full first hour captures A-period (0930-1000) and B-period (1000-1030). By 10:30 AM ET, all early positioning is complete. Market has "voted" on value. Subsequent price action confirms (trend day) or rejects (rotation day) this value assessment. Initial Balance Theory: IB represents the market's accepted value area . When price extends significantly beyond IB (>1.5x IB range), it signals a Trend Day —strong directional conviction. When price remains within 1.0x IB, it signals a Rotation Day —mean reversion environment. This classification completely changes trading strategy. 🔬 LTF PRECISION TECHNOLOGY The Chart Timeframe Problem: Traditional ORB indicators calculate range using the chart's current timeframe. This creates critical inaccuracies: Example: • You're on a 5-minute chart • ORB period is 30 minutes (0930-1000 ET) • Indicator sees only 6 bars (30min ÷ 5min/bar = 6 bars) • If any 5-minute bar has extreme wick, entire ORB is distorted The Problem Amplifies: • On 15-minute chart with 30-minute ORB: Only 2 bars sampled • On 30-minute chart with 30-minute ORB: Only 1 bar sampled • Opening spike or single large wick defines entire range (invalid) Solution: Lower Timeframe (LTF) Precision: ORB Fusion uses `request.security_lower_tf()` to sample 1-minute bars regardless of chart timeframe: ``` For 30-minute ORB on 15-minute chart: - Traditional method: Uses 2 bars (15min × 2 = 30min) - LTF Precision: Requests thirty 1-minute bars, calculates true high/low ``` Why This Matters: Scenario: ES futures, 15-minute chart, 30-minute ORB • Traditional ORB: High = 5850.00, Low = 5842.00 (range = 8 points) • LTF Precision ORB: High = 5848.50, Low = 5843.25 (range = 5.25 points) Difference: 2.75 points distortion from single 15-minute wick hitting 5850.00 at 9:31 AM then immediately reversing. LTF precision filters this out by seeing it was a fleeting wick, not a sustained high. Impact on Extensions: With inflated range (8 points vs 5.25 points): • 1.5x extension projects +12 points instead of +7.875 points • Difference: 4.125 points (nearly $200 per ES contract) • Breakout signals trigger late; extension targets unreachable Implementation: ```pinescript getLtfHighLow() => float ha = request.security_lower_tf(syminfo.tickerid, "1", high) float la = request.security_lower_tf(syminfo.tickerid, "1", low) ``` Function returns arrays of 1-minute high/low values, then finds true maximum and minimum across all samples. When LTF Precision Activates: Only when chart timeframe exceeds ORB session window: • 5-minute chart + 30-minute ORB: LTF used (chart TF > session bars needed) • 1-minute chart + 30-minute ORB: LTF not needed (direct sampling sufficient) Recommendation: Always enable LTF Precision unless you're on 1-minute charts. The computational overhead is negligible, and accuracy improvement is substantial. ⚖️ INITIAL BALANCE (IB) FRAMEWORK Steidlmayer's Market Profile Innovation: J. Peter Steidlmayer developed Market Profile in the 1980s for the Chicago Board of Trade. His key insight: market structure is best understood through time-at-price (value area) rather than just price-over-time (traditional charts). Initial Balance Definition: IB is the price range established during the first hour of trading, subdivided into: • A-Period : First 30 minutes (0930-1000 ET for US equities) • B-Period : Second 30 minutes (1000-1030 ET) A-Period vs B-Period Comparison: The relationship between A and B periods forecasts the day: B-Period Expansion (Bullish): • B-period high > A-period high • B-period low ≥ A-period low • Interpretation: Buyers stepping in after opening assessed • Implication: Bullish continuation likely • Strategy: Buy pullbacks to A-period high (now support) B-Period Expansion (Bearish): • B-period low < A-period low • B-period high ≤ A-period high • Interpretation: Sellers stepping in after opening assessed • Implication: Bearish continuation likely • Strategy: Sell rallies to A-period low (now resistance) B-Period Contraction: • B-period stays within A-period range • Interpretation: Market indecisive, digesting A-period information • Implication: Rotation day likely, stay range-bound • Strategy: Fade extremes, sell high/buy low within IB IB Extensions: Professional traders use IB as a ruler to project price targets: Extension Levels: • 0.5x IB : Initial probe outside value (minor target) • 1.0x IB : Full extension (major target for normal days) • 1.5x IB : Trend day threshold (classifies as trending) • 2.0x IB : Strong trend day (rare, ~10-15% of days) Calculation: ``` IB Range = IB High - IB Low Bull Extension 1.0x = IB High + (IB Range × 1.0) Bear Extension 1.0x = IB Low - (IB Range × 1.0) ``` Example: ES futures: • IB High: 5850.00 • IB Low: 5842.00 • IB Range: 8.00 points Extensions: • 1.0x Bull Target: 5850 + 8 = 5858.00 • 1.5x Bull Target: 5850 + 12 = 5862.00 • 2.0x Bull Target: 5850 + 16 = 5866.00 If price reaches 5862.00 (1.5x), day is classified as Trend Day —strategy shifts from mean reversion to trend following. 📈 DAY TYPE CLASSIFICATION SYSTEM Four Day Types (Market Profile Framework): 1. TREND DAY: Definition: Price extends ≥1.5x IB range in one direction and stays there. Characteristics: • Opens and never returns to IB • Persistent directional movement • Volume increases as day progresses (conviction building) • News-driven or strong institutional flow Frequency: ~20-25% of trading days Trading Strategy: • DO: Follow the trend, trail stops, let winners run • DON'T: Fade extremes, take early profits • Key: Add to position on pullbacks to previous extension level • Risk: Getting chopped in false trend (see Failed Breakout section) Example: FOMC decision, payroll report, earnings surprise—anything creating one-sided conviction. 2. NORMAL DAY: Definition: Price extends 0.5-1.5x IB, tests both sides, returns to IB. Characteristics: • Two-sided trading • Extensions occur but don't persist • Volume balanced throughout day • Most common day type Frequency: ~45-50% of trading days Trading Strategy: • DO: Take profits at extension levels, expect reversals • DON'T: Hold for massive moves • Key: Treat each extension as a profit-taking opportunity • Risk: Holding too long when momentum shifts Example: Typical day with no major catalysts—market balancing supply and demand. 3. ROTATION DAY: Definition: Price stays within IB all day, rotating between high and low. Characteristics: • Never accepts outside IB • Multiple tests of IB high/low • Decreasing volume (no conviction) • Classic range-bound action Frequency: ~25-30% of trading days Trading Strategy: • DO: Fade extremes (sell IB high, buy IB low) • DON'T: Chase breakouts • Key: Enter at extremes with tight stops just outside IB • Risk: Breakout finally occurs after multiple failures Example: [/b> Pre-holiday trading, summer doldrums, consolidation after big move. 4. DEVELOPING: Definition: Day type not yet determined (early in session). Usage: Classification before 12:00 PM ET when IB extension pattern unclear. ORB Fusion's Classification Algorithm: ```pinescript if close > ibHigh: ibExtension = (close - ibHigh) / ibRange direction = "BULLISH" else if close < ibLow: ibExtension = (ibLow - close) / ibRange direction = "BEARISH" if ibExtension >= 1.5: dayType = "TREND DAY" else if ibExtension >= 0.5: dayType = "NORMAL DAY" else if close within IB: dayType = "ROTATION DAY" ``` Why Classification Matters: Same setup (bullish ORB breakout) has opposite implications: • Trend Day : Hold for 2.0x extension, trail stops aggressively • Normal Day : Take profits at 1.0x extension, watch for reversal • Rotation Day : Fade the breakout immediately (likely false) Knowing day type prevents catastrophic errors like fading a trend day or holding through rotation. 🚀 BREAKOUT DETECTION & CONFIRMATION Three Confirmation Methods: 1. Close Beyond Level (Recommended): Logic: Candle must close above ORB high (bull) or below ORB low (bear). Why: • Filters out wicks (temporary liquidity grabs) • Ensures sustained acceptance above/below range • Reduces false breakout rate by ~20-30% Example: • ORB High: 5850.00 • Bar high touches 5850.50 (wick above) • Bar closes at 5848.00 (inside range) • Result: NO breakout signal vs. • Bar high touches 5850.50 • Bar closes at 5851.00 (outside range) • Result: BREAKOUT signal confirmed Trade-off: Slightly delayed entry (wait for close) but much higher reliability. 2. Wick Beyond Level: Logic: [/b> Any touch of ORB high/low triggers breakout. Why: • Earliest possible entry • Captures aggressive momentum moves Risk: • High false breakout rate (60-70%) • Stop runs trigger signals • Requires very tight stops (difficult to manage) Use Case: Scalping with 1-2 point profit targets where any penetration = trade. 3. Body Beyond Level: Logic: [/b> Candle body (close vs open) must be entirely outside range. Why: • Strictest confirmation • Ensures directional conviction (not just momentum) • Lowest false breakout rate Example: Trade-off: [/b> Very conservative—misses some valid breakouts but rarely triggers on false ones. Volume Confirmation Layer: All confirmation methods can require volume validation: Volume Multiplier Logic: Rationale: [/b> True breakouts are driven by institutional activity (large size). Volume spike confirms real conviction vs. stop-run manipulation. Statistical Impact: [/b> • Breakouts with volume confirmation: ~65% success rate • Breakouts without volume: ~45% success rate • Difference: 20 percentage points edge Implementation Note: [/b> Volume confirmation adds complexity—you'll miss breakouts that work but lack volume. However, when targeting 1.5x+ extensions (ambitious goals), volume confirmation becomes critical because those moves require sustained institutional participation. Recommended Settings by Strategy: [/b> Scalping (1-2 point targets): [/b> • Method: Close • Volume: OFF • Rationale: Quick in/out doesn't need perfection Intraday Swing (5-10 point targets): [/b> • Method: Close • Volume: ON (1.5x multiplier) • Rationale: Balance reliability and opportunity Position Trading (full-day holds): [/b> • Method: Body • Volume: ON (2.0x multiplier) • Rationale: Must be certain—large stops require high win rate 🔥 FAILED BREAKOUT SYSTEM The Core Insight: [/b> Failed breakouts are often more profitable [/b> than successful breakouts because they create trapped traders with predictable behavior. Failed Breakout Definition: [/b> A breakout that: 1. Initially penetrates ORB level with confirmation 2. Attracts participants (volume spike, momentum) 3. Fails to extend (stalls or immediately reverses) 4. Returns inside ORB range within N bars Psychology of Failure: [/b> When breakout fails: • Breakout buyers are trapped [/b>: Bought at ORB high, now underwater • Early longs reduce: Take profit, fearful of reversal • Shorts smell blood: See failed breakout as reversal signal • Result: Cascade of selling as trapped bulls exit + new shorts enter Mirror image for failed bearish breakouts (trapped shorts cover + new longs enter). Failure Detection Parameters: [/b> 1. Failure Confirmation Bars (default: 3): [/b> How many bars after breakout to confirm failure? Logic: Settings: [/b> • 2 bars: Aggressive failure detection (more signals, more false failures) • 3 bars Balanced (default) • 5-10 bars: Conservative (wait for clear reversal) Why This Matters: Too few bars: You call "failed breakout" when price is just consolidating before next leg. Too many bars: You miss the reversal entry (price already back in range). 2. Failure Buffer (default: 0.1 ATR): [/b> How far inside ORB must price return to confirm failure? Formula: Why Buffer Matters: clear rejection [/b> (not just hovering at level). Settings: [/b> • 0.0 ATR: No buffer, immediate failure signal • 0.1 ATR: Small buffer (default) - filters noise • [b>0.2-0.3 ATR: Large buffer - only dramatic failures count Example: Reversal Entry System: [/b> When failure confirmed, system generates complete reversal trade: For Failed Bull Breakout (Short Reversal): [/b> Entry: [/b> Current close when failure confirmed Stop Loss: [/b> Extreme high since breakout + 0.10 ATR padding Target 1: [/b> ORB High - (ORB Range × 0.5) Target 2: Target 3: [/b> ORB High - (ORB Range × 1.5) Example: • ORB High: 5850, ORB Low: 5842, Range: 8 points • Breakout to 5853, fails, reverses to 5848 (entry) • Stop: 5853 + 1 = 5854 (6 point risk) • T1: 5850 - 4 = 5846 (-2 points, 1:3 R:R) • T2: 5850 - 8 = 5842 (-6 points, 1:1 R:R) • T3: 5850 - 12 = 5838 (-10 points, 1.67:1 R:R) [b>Why These Targets? [/b> • T1 (0.5x ORB below high): Trapped bulls start panic • T2 (1.0x ORB = ORB Mid): Major retracement, momentum fully reversed • T3 (1.5x ORB): Reversal extended, now targeting opposite side Historical Performance: [/b> Failed breakout reversals in ORB Fusion's tracking system show: • Win Rate: 65-75% (significantly higher than initial breakouts) • Average Winner: 1.2x ORB range • Average Loser: 0.5x ORB range (protected by stop at extreme) • Expectancy: Strongly positive even with <70% win rate Why Failed Breakouts Outperform: [/b> 1. Information Advantage: You now know what price did (failed to extend). Initial breakout trades are speculative; reversal trades are reactive to confirmed failure. 2. Trapped Participant Pressure: Every trapped bull becomes a seller. This creates sustained pressure. 3. Stop Loss Clarity: Extreme high is obvious stop (just beyond recent high). Breakout trades have ambiguous stops (ORB mid? Recent low? Too wide or too tight). 4. Mean Reversion Edge: Failed breakouts return to value (ORB mid). Initial breakouts try to escape value (harder to sustain). Critical Insight: [/b> "The best trade is often the one that trapped everyone else." Failed breakouts create asymmetric opportunity because you're trading against [/b> trapped participants rather than with [/b> them. When you see a failed breakout signal, you're seeing real-time evidence that the market rejected directional conviction—that's exploitable. 📐 FIBONACCI EXTENSION SYSTEM Six Extension Levels: [/b> Extensions project how far price will travel after ORB breakout. Based on Fibonacci ratios + empirical market behavior. 1. 1.272x (27.2% Extension): [/b> Formula: [/b> ORB High/Low + (ORB Range × 0.272) Psychology: [/b> Initial probe beyond ORB. Early momentum + trapped shorts (on bull side) covering. Probability of Reach: [/b> ~75-80% after confirmed breakout Trading: [/b> • First resistance/support after breakout • Partial profit target (take 30-50% off) • Watch for rejection here (could signal failure in progress) Why 1.272? [/b> Related to harmonic patterns (1.272 is √1.618). Empirically, markets often stall at 25-30% extension before deciding whether to continue or fail. 2. 1.5x (50% Extension): Formula: [/b> ORB High/Low + (ORB Range × 0.5) Psychology: [/b> Breakout gaining conviction. Requires sustained buying/selling (not just momentum spike). Probability of Reach: [/b> ~60-65% after confirmed breakout Trading: [/b> • Major partial profit (take 50-70% off) • Move stops to breakeven • Trail remaining position Why 1.5x? [/b> Classic halfway point to 2.0x. Markets often consolidate here before final push. If day type is "Normal," this is likely the high/low for the day. 3. 1.618x (Golden Ratio Extension): [/b> Formula: [/b> ORB High/Low + (ORB Range × 0.618) Psychology: [/b> Strong directional day. Institutional conviction + retail FOMO. Probability of Reach: [/b> ~45-50% after confirmed breakout Trading: [/b> • Final partial profit (close 80-90%) • Trail remainder with wide stop (allow breathing room) Why 1.618? [/b> Fibonacci golden ratio. Appears consistently in market geometry. When price reaches 1.618x extension, move is "mature" and reversal risk increases. 4. 2.0x (100% Extension): [/b> Formula: ORB High/Low + (ORB Range × 1.0) Psychology: [/b> Trend day confirmed. Opening range completely duplicated. Probability of Reach: [/b> ~30-35% after confirmed breakout Trading: Why 2.0x? [/b> Psychological level—range doubled. Also corresponds to typical daily ATR in many instruments (opening range ~ 0.5 ATR, daily range ~ 1.0 ATR). 5. 2.618x (Super Extension): Formula: [/b> ORB High/Low + (ORB Range × 1.618) Psychology: [/b> Parabolic move. News-driven or squeeze. Probability of Reach: [/b> ~10-15% after confirmed breakout [b>Trading: Why 2.618? [/b> Fibonacci ratio (1.618²). Rare to reach—when it does, move is extreme. Often precedes multi-day consolidation or reversal. 6. 3.0x (Extreme Extension): [/b> Formula: [/b> ORB High/Low + (ORB Range × 2.0) Psychology: [/b> Market melt-up/crash. Only in extreme events. [b>Probability of Reach: [/b> <5% after confirmed breakout Trading: [/b> • Close immediately if reached • These are outlier events (black swans, flash crashes, squeeze-outs) • Holding for more is greed—take windfall profit Why 3.0x? [/b> Triple opening range. So rare it's statistical noise. When it happens, it's headline news. Visual Example: ES futures, ORB 5842-5850 (8 point range), Bullish breakout: • ORB High : 5850.00 (entry zone) • 1.272x : 5850 + 2.18 = 5852.18 (first resistance) • 1.5x : 5850 + 4.00 = 5854.00 (major target) • 1.618x : 5850 + 4.94 = 5854.94 (strong target) • 2.0x : 5850 + 8.00 = 5858.00 (trend day) • 2.618x : 5850 + 12.94 = 5862.94 (extreme) • 3.0x : 5850 + 16.00 = 5866.00 (parabolic) Profit-Taking Strategy: Optimal scaling out at extensions: • Breakout entry at 5850.50 • 30% off at 1.272x (5852.18) → +1.68 points • 40% off at 1.5x (5854.00) → +3.50 points • 20% off at 1.618x (5854.94) → +4.44 points • 10% off at 2.0x (5858.00) → +7.50 points [b>Average Exit: Conclusion: [/b> Scaling out at extensions produces 40% higher expectancy than holding for home runs. 📊 GAP ANALYSIS & FILL PSYCHOLOGY [b>Gap Definition: [/b> Price discontinuity between previous close and current open: • Gap Up : Open > Previous Close + noise threshold (0.1 ATR) • Gap Down : Open < Previous Close - noise threshold Why Gaps Matter: [/b> Gaps represent unfilled orders [/b>. When market gaps up, all limit buy orders between yesterday's close and today's open are never filled. Those buyers are "left behind." Psychology: they wait for price to return ("fill the gap") so they can enter. This creates magnetic pull [/b> toward gap level. Gap Fill Statistics (Empirical): [/b> • Gaps <0.5% [/b>: 85-90% fill within same day • Gaps 0.5-1.0% [/b>: 70-75% fill within same day, 90%+ within week • Gaps >1.0% [/b>: 50-60% fill within same day (major news often prevents fill) Gap Fill Strategy: [/b> Setup 1: Gap-and-Go Gap opens, extends away from gap (doesn't fill). • ORB confirms direction away from gap • Trade WITH ORB breakout direction • Expectation: Gap won't fill today (momentum too strong) Setup 2: Gap-Fill Fade Gap opens, but fails to extend. Price drifts back toward gap. • ORB breakout TOWARD gap (not away) • Trade toward gap fill level • Target: Previous close (gap fill complete) Setup 3: Gap-Fill Rejection Gap fills (touches previous close) then rejects. • ORB breakout AWAY from gap after fill • Trade away from gap direction • Thesis: Gap filled (orders executed), now resume original direction [b>Example: Scenario A (Gap-and-Go): • ORB breaks upward to $454 (away from gap) • Trade: LONG breakout, expect continued rally • Gap becomes support ($452) Scenario B (Gap-Fill): • ORB breaks downward through $452.50 (toward gap) • Trade: SHORT toward gap fill at $450.00 • Target: $450.00 (gap filled), close position Scenario C (Gap-Fill Rejection): • Price drifts to $450.00 (gap filled) early in session • ORB establishes $450-$451 after gap fill • ORB breaks upward to $451.50 • Trade: LONG breakout (gap is filled, now resume rally) ORB Fusion Integration: [/b> Dashboard shows: • Gap type (Up/Down/None) • Gap size (percentage) • Gap fill status (Filled ✓ / Open) This informs setup confidence: • ORB breakout AWAY from unfilled gap: +10% confidence (gap becomes support/resistance) • ORB breakout TOWARD unfilled gap: -10% confidence (gap fill may override ORB) [b>📈 VWAP & INSTITUTIONAL BIAS [/b> [b>Volume-Weighted Average Price (VWAP): [/b> Average price weighted by volume at each price level. Represents true "average" cost for the day. [b>Calculation: Institutional Benchmark [/b>: Institutions (mutual funds, pension funds) use VWAP as performance benchmark. If they buy above VWAP, they underperformed; below VWAP, they outperformed. 2. [b>Algorithmic Target [/b>: Many algos are programmed to buy below VWAP and sell above VWAP to achieve "fair" execution. 3. [b>Support/Resistance [/b>: VWAP acts as dynamic support (price above) or resistance (price below). [b>VWAP Bands (Standard Deviations): [/b> • [b>1σ Band [/b>: VWAP ± 1 standard deviation - Contains ~68% of volume - Normal trading range - Bounces common • [b>2σ Band [/b>: VWAP ± 2 standard deviations - Contains ~95% of volume - Extreme extension - Mean reversion likely ORB + VWAP Confluence: [/b> Highest-probability setups occur when ORB and VWAP align: Bullish Confluence: [/b> • ORB breakout upward (bullish signal) • Price above VWAP (institutional buying) • Confidence boost: +15% Bearish Confluence: [/b> • ORB breakout downward (bearish signal) • Price below VWAP (institutional selling) • Confidence boost: +15% [b>Divergence Warning: • ORB breakout upward BUT price below VWAP • Conflict: Breakout says "buy," VWAP says "sell" • Confidence penalty: -10% • Interpretation: Retail buying but institutions not participating (lower quality breakout) 📊 MOMENTUM CONTEXT SYSTEM [b>Innovation: Candle Coloring by Position Rather than fixed support/resistance lines, ORB Fusion colors candles based on their [b>relationship to ORB : [b>Three Zones: [/b> 1. Inside ORB (Blue Boxes): [/b> [b>Calculation: • Darker blue: Near extremes of ORB (potential breakout imminent) • Lighter blue: Near ORB mid (consolidation) [b>Trading: [/b> Coiled spring—await breakout. [b>2. Above ORB (Green Boxes): [b>Calculation: 3. Below ORB (Red Boxes): Mirror of above ORB logic. [b>Special Contexts: [/b> [b>Breakout Bar (Darkest Green/Red): [/b> The specific bar where breakout occurs gets maximum color intensity regardless of distance. This highlights the pivotal moment. [b>Failed Breakout Bar (Orange/Warning): [/b> When failed breakout is confirmed, that bar gets orange/warning color. Visual alert: "reversal opportunity here." [b>Near Extension (Cyan/Magenta Tint): [/b> When price is within 0.5 ATR of an extension level, candle gets tinted cyan (bull) or magenta (bear). Indicates "target approaching—prepare to take profit." [b>Why Visual Context? [/b> Traditional indicators show lines. ORB Fusion shows [b>context-aware momentum [/b>. Glance at chart: • Lots of blue? Consolidation day (fade extremes). • Progressive green? Trend day (follow). • Green then orange? Failed breakout (reversal setup). This visual language communicates market state instantly—no interpretation needed. 🎯 TRADE SETUP GENERATION & GRADING [/b> [b>Algorithmic Setup Detection: [/b> ORB Fusion continuously evaluates market state and generates current best trade setup with: • Action (LONG / SHORT / FADE HIGH / FADE LOW / WAIT) • Entry price • Stop loss • Three targets • Risk:Reward ratio • Confidence score (0-100) • Grade (A+ to D) [b>Setup Types: [/b> [b>1. ORB LONG (Bullish Breakout): [/b> [b>Trigger: [/b> • Bullish ORB breakout confirmed • Not failed [b>Parameters: • Entry: Current close • Stop: ORB mid (protects against failure) • T1: ORB High + 0.5x range (1.5x extension) • T2: ORB High + 1.0x range (2.0x extension) • T3: ORB High + 1.618x range (2.618x extension) [b>Confidence Scoring: [b>Trigger: [/b> • Bearish breakout occurred • Failed (returned inside ORB) [b>Parameters: [/b> • Entry: Close when failure confirmed • Stop: Extreme low since breakout + 0.10 ATR • T1: ORB Low + 0.5x range • T2: ORB Low + 1.0x range (ORB mid) • T3: ORB Low + 1.5x range [b>Confidence Scoring: [b>Trigger: • Inside ORB • Close > ORB mid (near high) [b>Parameters: [/b> • Entry: ORB High (limit order) • Stop: ORB High + 0.2x range • T1: ORB Mid • T2: ORB Low [b>Confidence Scoring: [/b> Base: 40 points (lower base—range fading is lower probability than breakout/reversal) [b>Use Case: [/b> Rotation days. Not recommended on normal/trend days. [b>6. FADE LOW (Range Trade): Mirror of FADE HIGH. [b>7. WAIT: [b>Trigger: [/b> • ORB not complete yet OR • No clear setup (price in no-man's-land) [b>Action: [/b> Observe, don't trade. [b>Confidence: [/b> 0 points [b>Grading System: ``` Confidence → Grade 85-100 → A+ 75-84 → A 65-74 → B+ 55-64 → B 45-54 → C 0-44 → D ``` [b>Grade Interpretation: [/b> • [b>A+ / A: High probability setup. Take these trades. • [b>B+ / B [/b>: Decent setup. Trade if fits system rules. • [b>C [/b>: Marginal setup. Only if very experienced. • [b>D [/b>: Poor setup or no setup. Don't trade. [b>Example Scenario: [/b> ES futures: • ORB: 5842-5850 (8 point range) • Bullish breakout to 5851 confirmed • Volume: 2.0x average (confirmed) • VWAP: 5845 (price above VWAP ✓) • Day type: Developing (too early, no bonus) • Gap: None [b>Setup: [/b> • Action: LONG • Entry: 5851 • Stop: 5846 (ORB mid, -5 point risk) • T1: 5854 (+3 points, 1:0.6 R:R) • T2: 5858 (+7 points, 1:1.4 R:R) • T3: 5862.94 (+11.94 points, 1:2.4 R:R) [b>Confidence: LONG with 55% confidence. Interpretation: Solid setup, not perfect. Trade it if your system allows B-grade signals. [b>📊 STATISTICS TRACKING & PERFORMANCE ANALYSIS [/b> [b>Real-Time Performance Metrics: [/b> ORB Fusion tracks comprehensive statistics over user-defined lookback (default 50 days): [b>Breakout Performance: [/b> • [b>Bull Breakouts: [/b> Total count, wins, losses, win rate • [b>Bear Breakouts: [/b> Total count, wins, losses, win rate [b>Win Definition: [/b> Breakout reaches ≥1.0x extension (doubles the opening range) before end of day. [b>Example: [/b> • ORB: 5842-5850 (8 points) • Bull breakout at 5851 • Reaches 5858 (1.0x extension) by close • Result: WIN [b>Failed Breakout Performance: [/b> • [b>Total Failed Breakouts [/b>: Count of breakouts that failed • [b>Reversal Wins [/b>: Count where reversal trade reached target • [b>Failed Reversal Win Rate [/b>: Wins / Total Failed [b>Win Definition for Reversals: [/b> • Failed bull → reversal short reaches ORB mid • Failed bear → reversal long reaches ORB mid [b>Extension Tracking: [/b> • [b>Average Extension Reached [/b>: Mean of maximum extension achieved across all breakout days • [b>Max Extension Overall [/b>: Largest extension ever achieved in lookback period [b>Example: 🎨 THREE DISPLAY MODES [b>Design Philosophy: [/b> Not all traders need all features. Beginners want simplicity. Professionals want everything. ORB Fusion adapts. [b>SIMPLE MODE: [/b> [b>Shows: [/b> • Primary ORB levels (High, Mid, Low) • ORB box • Breakout signals (triangles) • Failed breakout signals (crosses) • Basic dashboard (ORB status, breakout status, setup) • VWAP [b>Hides: [/b> • Session ORBs (Asian, London, NY) • IB levels and extensions • ORB extensions beyond basic levels • Gap analysis visuals • Statistics dashboard • Momentum candle coloring • Narrative dashboard [b>Use Case: [/b> • Traders who want clean chart • Focus on core ORB concept only • Mobile trading (less screen space) [b>STANDARD MODE: [b>Shows Everything in Simple Plus: [/b> • Session ORBs (Asian, London, NY) • IB levels (high, low, mid) • IB extensions • ORB extensions (1.272x, 1.5x, 1.618x, 2.0x) • Gap analysis and fill targets • VWAP bands (1σ and 2σ) • Momentum candle coloring • Context section in dashboard • Narrative dashboard [b>Hides: [/b> • Advanced extensions (2.618x, 3.0x) • Detailed statistics dashboard [b>Use Case: [/b> • Most traders • Balance between information and clarity • Covers 90% of use cases [b>ADVANCED MODE: [b>Shows Everything: • All session ORBs • All IB levels and extensions • All ORB extensions (including 2.618x and 3.0x) • Full gap analysis • VWAP with both 1σ and 2σ bands • Momentum candle coloring • Complete statistics dashboard • Narrative dashboard • All context metrics [b>Use Case: [/b> • Professional traders • System developers • Those who want maximum information density [b>Switching Modes: [/b> Single dropdown input: "Display Mode" → Simple / Standard / Advanced Entire indicator adapts instantly. No need to toggle 20 individual settings. 📖 NARRATIVE DASHBOARD [b>Innovation: Plain-English Market State [/b> Most indicators show data. ORB Fusion explains what the data [b>means [/b>. [b>Narrative Components: [/b> [b>1. Phase: [/b> • "📍 Building ORB..." (during ORB session) • "📊 Trading Phase" (after ORB complete) • "⏳ Pre-Market" (before ORB session) [b>2. Status (Current Observation): [/b> • "⚠️ Failed breakout - reversal likely" • "🚀 Bullish momentum in play" • "📉 Bearish momentum in play" • "⚖️ Consolidating in range" • "👀 Monitoring for setup" [b>3. Next Level: Tells you what to watch for: • "🎯 1.5x @ 5854.00" (next extension target) • "Watch ORB levels" (inside range, await breakout) [b>4. Setup: [/b> Current trade setup + grade: • "LONG " (bullish breakout, A-grade) • "🔥 SHORT REVERSAL " (failed bull breakout, A+-grade) • "WAIT " (no setup) [b>5. Reason: [/b> Why this setup exists: • "ORB Bullish Breakout" • "Failed Bear Breakout - High Probability Reversal" • "Range Fade - Near High" [b>6. Tip (Market Insight): Contextual advice: • "🔥 TREND DAY - Trail stops" (day type is trending) • "🔄 ROTATION - Fade extremes" (day type is rotating) • "📊 Gap unfilled - magnet level" (gap creates target) • "📈 Normal conditions" (no special context) [b>Example Narrative: ``` 📖 ORB Narrative ━━━━━━━━━━━━━━━━ Phase | 📊 Trading Phase Status | 🚀 Bullish momentum in play Next | 🎯 1.5x @ 5854.00 📈 Setup | LONG Reason | ORB Bullish Breakout 💡 Tip | 🔥 TREND DAY - Trail stops ``` [b>Glance Interpretation: [/b> "We're in trading phase. Bullish breakout happened (momentum in play). Next target is 1.5x extension at 5854. Current setup is LONG with A-grade. It's a trend day, so trail stops (don't take early profits)." Complete market state communicated in 6 lines. No interpretation needed. [b>Why This Matters: Beginner traders struggle with "So what?" question. Indicators show lines and signals, but what does it mean [/b>? Narrative dashboard bridges this gap. Professional traders benefit too—rapid context assessment during fast-moving markets. No time to analyze; glance at narrative, get action plan. 🔔 INTELLIGENT ALERT SYSTEM [b>Four Alert Types: [/b> [b>1. Breakout Alert: [/b> [b>Trigger: [/b> ORB breakout confirmed (bull or bear) [b>Message: [/b> ``` 🚀 ORB BULLISH BREAKOUT Price: 5851.00 Volume Confirmed Grade: A ``` [b>Frequency: [/b> Once per bar (prevents spam) [b>2. Failed Breakout Alert: [/b> [b>Trigger: [/b> Breakout fails, reversal setup generated [b>Message: [/b> ``` 🔥 FAILED BULLISH BREAKOUT! HIGH PROBABILITY SHORT REVERSAL Entry: 5848.00 Stop: 5854.00 T1: 5846.00 T2: 5842.00 Historical Win Rate: 73% ``` [b>Why Comprehensive? [/b> Failed breakout alerts include complete trade plan. You can execute immediately from alert—no need to check chart. [b>3. Extension Alert: [b>Trigger: [/b> Price reaches extension level for first time [b>Message: [/b> ``` 🎯 Bull Extension 1.5x reached @ 5854.00 ``` [b>Use: [/b> Profit-taking reminder. When extension hit, consider scaling out. [b>4. IB Break Alert: [/b> [b>Trigger: [/b> Price breaks above IB high or below IB low [b>Message: [/b> ``` 📊 IB HIGH BROKEN - Potential Trend Day ``` [b>Use: [/b> Day type classification. IB break suggests trend day developing—adjust strategy to trend-following mode. [b>Alert Management: [/b> Each alert type can be enabled/disabled independently. Prevents notification overload. [b>Cooldown Logic: [/b> Alerts won't fire if same alert type triggered within last bar. Prevents: • "Breakout" alert every tick during choppy breakout • Multiple "extension" alerts if price oscillates at level Ensures: One clean alert per event. ⚙️ KEY PARAMETERS EXPLAINED [b>Opening Range Settings: [/b> • [b>ORB Timeframe [/b> (5/15/30/60 min): Duration of opening range window - 30 min recommended for most traders • [b>Use RTH Only [/b> (ON/OFF): Only trade during regular trading hours - ON recommended (avoids thin overnight markets) • [b>Use LTF Precision [/b> (ON/OFF): Sample 1-minute bars for accuracy - ON recommended (critical for charts >1 minute) • [b>Precision TF [/b> (1/5 min): Timeframe for LTF sampling - 1 min recommended (most accurate) [b>Session ORBs: [/b> • [b>Show Asian/London/NY ORB [/b> (ON/OFF): Display multi-session ranges - OFF in Simple mode - ON in Standard/Advanced if trading 24hr markets • [b>Session Windows [/b>: Time ranges for each session ORB - Defaults align with major session opens [b>Initial Balance: [/b> • [b>Show IB [/b> (ON/OFF): Display Initial Balance levels - ON recommended for day type classification • [b>IB Session Window [/b> (0930-1030): First hour of trading - Default is standard for US equities • [b>Show IB Extensions [/b> (ON/OFF): Project IB extension targets - ON recommended (identifies trend days) • [b>IB Extensions 1-4 [/b> (0.5x, 1.0x, 1.5x, 2.0x): Extension multipliers - Defaults are Market Profile standard [b>ORB Extensions: [/b> • [b>Show Extensions [/b> (ON/OFF): Project ORB extension targets - ON recommended (defines profit targets) • [b>Enable Individual Extensions [/b> (1.272x, 1.5x, 1.618x, 2.0x, 2.618x, 3.0x) - Enable 1.272x, 1.5x, 1.618x, 2.0x minimum - Disable 2.618x and 3.0x unless trading very volatile instruments [b>Breakout Detection: • [b>Confirmation Method [/b> (Close/Wick/Body): - Close recommended (best balance) - Wick for scalping - Body for conservative • [b>Require Volume Confirmation [/b> (ON/OFF): - ON recommended (increases reliability) • [b>Volume Multiplier [/b> (1.0-3.0): - 1.5x recommended - Lower for thin instruments - Higher for heavy volume instruments [b>Failed Breakout System: [/b> • [b>Enable Failed Breakouts [/b> (ON/OFF): - ON strongly recommended (highest edge) • [b>Bars to Confirm Failure [/b> (2-10): - 3 bars recommended - 2 for aggressive (more signals, more false failures) - 5+ for conservative (fewer signals, higher quality) • [b>Failure Buffer [/b> (0.0-0.5 ATR): - 0.1 ATR recommended - Filters noise during consolidation near ORB level • [b>Show Reversal Targets [/b> (ON/OFF): - ON recommended (visualizes trade plan) • [b>Reversal Target Mults [/b> (0.5x, 1.0x, 1.5x): - Defaults are tested values - Adjust based on average daily range [b>Gap Analysis: • [b>Show Gap Analysis [/b> (ON/OFF): - ON if trading instruments that gap frequently - OFF for 24hr markets (forex, crypto—no gaps) • [b>Gap Fill Target [/b> (ON/OFF): - ON to visualize previous close (gap fill level) [b>VWAP: • [b>Show VWAP [/b> (ON/OFF): - ON recommended (key institutional level) • [b>Show VWAP Bands [/b> (ON/OFF): - ON in Standard/Advanced - OFF in Simple • [b>Band Multipliers (1.0σ, 2.0σ): - Defaults are standard - 1σ = normal range, 2σ = extreme [b>Day Type: [/b> • [b>Show Day Type Analysis [/b> (ON/OFF): - ON recommended (critical for strategy adaptation) • [b>Trend Day Threshold [/b> (1.0-2.5 IB mult): - 1.5x recommended - When price extends >1.5x IB, classifies as Trend Day [b>Enhanced Visuals: • [b>Show Momentum Candles [/b> (ON/OFF): - ON for visual context - OFF if chart gets too colorful • [b>Show Gradient Zone Fills [/b> (ON/OFF): - ON for professional look - OFF for minimalist chart • [b>Label Display Mode [/b> (All/Adaptive/Minimal): - Adaptive recommended (shows nearby labels only) - All for information density - Minimal for clean chart • [b>Label Proximity [/b> (1.0-5.0 ATR): - 3.0 ATR recommended - Labels beyond this distance are hidden (Adaptive mode) [b>🎓 PROFESSIONAL USAGE PROTOCOL [/b> [b>Phase 1: Learning the System (Week 1) [/b> [b>Goal: [/b> Understand ORB concepts and dashboard interpretation [b>Setup: [/b> • Display Mode: STANDARD • ORB Timeframe: 30 minutes • Enable ALL features (IB, extensions, failed breakouts, VWAP, gap analysis) • Enable statistics tracking [b>Actions: [/b> • Paper trade ONLY—no real money • Observe ORB formation every day (9:30-10:00 AM ET for US markets) • Note when ORB breakouts occur and if they extend • Note when breakouts fail and reversals happen • Watch day type classification evolve during session • Track statistics—which setups are working? [b>Key Learning: [/b> • How often do breakouts reach 1.5x extension? (typically 50-60% of confirmed breakouts) • How often do breakouts fail? (typically 30-40%) • Which setup grade (A/B/C) actually performs best? (should see A-grade outperforming) • What day type produces best results? (trend days favor breakouts, rotation days favor fades) [b>Phase 2: Parameter Optimization (Week 2) [/b> [b>Goal: [/b> Tune system to your instrument and timeframe [b>ORB Timeframe Selection: • Run 5 days with 15-minute ORB • Run 5 days with 30-minute ORB • Compare: Which captures better breakouts on your instrument? • Typically: 30-minute optimal for most, 15-minute for very liquid (ES, SPY) [b>Volume Confirmation Testing: • Run 5 days WITH volume confirmation • Run 5 days WITHOUT volume confirmation • Compare: Does volume confirmation increase win rate? • If win rate improves by >5%: Keep volume confirmation ON • If no improvement: Turn OFF (avoid missing valid breakouts) [b>Failed Breakout Bars: [b>Goal: [/b> Develop personal trading rules based on system signals [b>Setup Selection Rules: [/b> Define which setups you'll trade: • [b>Conservative: [/b> Only A+ and A grades • [b>Balanced: [/b> A+, A, B+ grades • [b>Aggressive: [/b> All grades B and above Test each approach for 5-10 trades, compare results. [b>Position Sizing by Grade: [/b> Consider risk-weighting by setup quality: • A+ grade: 100% position size • A grade: 75% position size • B+ grade: 50% position size • B grade: 25% position size Example: If max risk is $1000/trade: • A+ setup: Risk $1000 • A setup: Risk $750 • B+ setup: Risk $500 This matches bet sizing to edge. [b>Day Type Adaptation: [/b> Create rules for different day types: Trend Days: • Take ALL breakout signals (A/B/C grades) • Hold for 2.0x extension minimum • Trail stops aggressively (1.0 ATR trail) • DON'T fade—reversals unlikely Rotation Days: • ONLY take failed breakout reversals • Ignore initial breakout signals (likely to fail) • Take profits quickly (0.5x extension) • Focus on fade setups (Fade High/Fade Low) Normal Days: • Take A/A+ breakout signals only • Take ALL failed breakout reversals (high probability) • Target 1.0-1.5x extensions • Partial profit-taking at extensions Time-of-Day Rules: [/b> Breakouts at different times have different probabilities: 10:00-10:30 AM (Early Breakout): • ORB just completed • Fresh breakout • Probability: Moderate (50-55% reach 1.0x) • Strategy: Conservative position sizing 10:30-12:00 PM (Mid-Morning): • Momentum established • Volume still healthy • Probability: High (60-65% reach 1.0x) • Strategy: Standard position sizing 12:00-2:00 PM (Lunch Doldrums): • Volume dries up • Whipsaw risk increases • Probability: Low (40-45% reach 1.0x) • Strategy: Avoid new entries OR reduce size 50% 2:00-4:00 PM (Afternoon Session): • Late-day positioning • EOD squeezes possible • Probability: Moderate-High (55-60%) • Strategy: Watch for IB break—if trending all day, follow [b>Phase 4: Live Micro-Sizing (Month 2) [/b> [b>Goal: [/b> Validate paper trading results with minimal risk [b>Setup: [/b> • 10-20% of intended full position size • Take ONLY A+ and A grade setups • Follow stop loss and targets religiously [b>Execution: [/b> • Execute from alerts OR from dashboard setup box • Entry: Close of signal bar OR next bar market order • Stop: Use exact stop from setup (don't widen) • Targets: Scale out at T1/T2/T3 as indicated [b>Tracking: [/b> • Log every trade: Entry, Exit, Grade, Outcome, Day Type • Calculate: Win rate, Average R-multiple, Max consecutive losses • Compare to paper trading results (should be within 15%) [b>Red Flags: [/b> • Win rate <45%: System not suitable for this instrument/timeframe • Major divergence from paper trading: Execution issues (slippage, late entries, emotional exits) • Max consecutive losses >8: Hitting rough patch OR market regime changed [b>Phase 5: Scaling Up (Months 3-6) [b>Goal: [/b> Gradually increase to full position size [b>Progression: [/b> • Month 3: 25-40% size (if micro-sizing profitable) • Month 4: 40-60% size • Month 5: 60-80% size • Month 6: 80-100% size [b>Milestones Required to Scale Up: [/b> • Minimum 30 trades at current size • Win rate ≥48% • Profit factor ≥1.2 • Max drawdown <20% • Emotional control (no revenge trading, no FOMO) [b>Advanced Techniques: [b>Multi-Timeframe ORB: Assumes first 30-60 minutes establish value. Violation: Market opens after major news, price discovery continues for hours (opening range meaningless). 2. [b>Volume Indicates Conviction: ES, NQ, RTY, SPY, QQQ—high liquidity, clean ORB formation, reliable extensions • [b>Large-Cap Stocks: AAPL, MSFT, TSLA, NVDA (>$5B market cap, >5M daily volume) • [b>Liquid Futures: CL (crude oil), GC (gold), 6E (EUR/USD), ZB (bonds)—24hr markets benefit from session ORBs • [b>Major Forex Pairs: [/b> EUR/USD, GBP/USD, USD/JPY—London/NY session ORBs work well [b>Performs Poorly On: [/b> • [b>Illiquid Stocks: <$1M daily volume, wide spreads, gappy price action • [b>Penny Stocks: [/b> Manipulated, pump-and-dump, no real price discovery • [b>Low-Volume ETFs: Exotic sector ETFs, leveraged products with thin volume • [b>Crypto on Sketchy Exchanges: Wash trading, spoofing invalidates volume analysis • [b>Earnings Days: [/b> ORB completes before earnings release, then completely resets (useless) • Binary Event Days: FDA approvals, court rulings—discontinuous price action [b>Known Weaknesses: [/b> • [b>Slow Starts: ORB doesn't complete until 10:00 AM (30-min ORB). Early morning traders have no signals for 30 minutes. Consider using 15-minute ORB if this is problematic. • [b>Failure Detection Lag: [/b> Failed breakout requires 3+ bars to confirm. By the time system signals reversal, price may have already moved significantly back inside range. Manual traders watching in real-time can enter earlier. • [b>Extension Overshoot: [/b> System projects extensions mathematically (1.5x, 2.0x, etc.). Actual moves may stop short (1.3x) or overshoot (2.2x). Extensions are targets, not magnets. • [b>Day Type Misclassification: [/b> Early in session, day type is "Developing." By the time it's classified definitively (often 11:00 AM+), half the day is over. Strategy adjustments happen late. • [b>Gap Assumptions: [/b> System assumes gaps want to fill. Strong trend days never fill gaps (gap becomes support/resistance forever). Blindly trading toward gaps can backfire on trend days. • [b>Volume Data Quality: Forex doesn't have centralized volume (uses tick volume as proxy—less reliable). Crypto volume is often fake (wash trading). Volume confirmation less effective on these instruments. • [b>Multi-Session Complexity: [/b> When using Asian/London/NY ORBs simultaneously, chart becomes cluttered. Requires discipline to focus on relevant session for current time. [b>Risk Factors: [/b> • [b>Opening Gaps: Large gaps (>2%) can create distorted ORBs. Opening range might be unusually wide or narrow, making extensions unreliable. • [b>Low Volatility Environments:[/b> When VIX <12, opening ranges can be tiny (0.2-0.3%). Extensions are equally tiny. Profit targets don't justify commission/slippage. • [b>High Volatility Environments:[/b> When VIX >30, opening ranges are huge (2-3%+). Extensions project unrealistic targets. Failed breakouts happen faster (volatility whipsaw). • [b>Algorithm Dominance:[/b> In heavily algorithmic markets (ES during overnight session), ORB levels can be manipulated—algos pin price to ORB high/low intentionally. Breakouts become stop-runs rather than genuine directional moves. [b>⚠️ RISK DISCLOSURE[/b> Trading futures, stocks, options, forex, and cryptocurrencies involves substantial risk of loss and is not suitable for all investors. Opening Range Breakout strategies, while based on sound market structure principles, do not guarantee profits and can result in significant losses. The ORB Fusion indicator implements professional trading concepts including Opening Range theory, Market Profile Initial Balance analysis, Fibonacci extensions, and failed breakout reversal logic. These methodologies have theoretical foundations but past performance—whether backtested or live—is not indicative of future results. Opening Range theory assumes the first 30-60 minutes of trading establish a meaningful value area and that breakouts from this range signal directional conviction. This assumption may not hold during: • Major news events (FOMC, NFP, earnings surprises) • Market structure changes (circuit breakers, trading halts) • Low liquidity periods (holidays, early closures) • Algorithmic manipulation or spoofing Failed breakout detection relies on patterns of trapped participant behavior. While historically these patterns have shown statistical edges, market conditions change. Institutional algorithms, changing market structure, or regime shifts can reduce or eliminate edges that existed historically. Initial Balance classification (trend day vs rotation day vs normal day) is a heuristic framework, not a deterministic prediction. Day type can change mid-session. Early classification may prove incorrect as the day develops. Extension projections (1.272x, 1.5x, 1.618x, 2.0x, etc.) are probabilistic targets derived from Fibonacci ratios and empirical market behavior. They are not "support and resistance levels" that price must reach or respect. Markets can stop short of extensions, overshoot them, or ignore them entirely. Volume confirmation assumes high volume indicates institutional participation and conviction. In algorithmic markets, volume can be artificially high (HFT activity) or artificially low (dark pools, internalization). Volume is a proxy, not a guarantee of conviction. LTF precision sampling improves ORB accuracy by using 1-minute bars but introduces additional data dependencies. If 1-minute data is unavailable, inaccurate, or delayed, ORB calculations will be incorrect. The grading system (A+/A/B+/B/C/D) and confidence scores aggregate multiple factors (volume, VWAP, day type, IB expansion, gap context) into a single assessment. This is a mechanical calculation, not artificial intelligence. The system cannot adapt to unprecedented market conditions or events outside its programmed logic. Real trading involves slippage, commissions, latency, partial fills, and rejected orders not present in indicator calculations. ORB Fusion generates signals at bar close; actual fills occur with delay. Opening range forms during highest volatility (first 30 minutes)—spreads widen, slippage increases. Execution quality significantly impacts realized results. Statistics tracking (win rates, extension levels reached, day type distribution) is based on historical bars in your lookback window. If lookback is small (<50 bars) or market regime changed, statistics may not represent future probabilities. Users must independently validate system performance on their specific instruments, timeframes, and broker execution environment. Paper trade extensively (100+ trades minimum) before risking capital. Start with micro position sizing (5-10% of intended size) for 50+ trades to validate execution quality matches expectations. Never risk more than you can afford to lose completely. Use proper position sizing (0.5-2% risk per trade maximum). Implement stop losses on every single trade without exception. Understand that most retail traders lose money—sophisticated indicators do not change this fundamental reality. They systematize analysis but cannot eliminate risk. The developer makes no warranties regarding profitability, suitability, accuracy, reliability, or fitness for any purpose. Users assume full responsibility for all trading decisions, parameter selections, risk management, and outcomes. By using this indicator, you acknowledge that you have read, understood, and accepted these risk disclosures and limitations, and you accept full responsibility for all trading activity and potential losses. [b>═══════════════════════════════════════════════════════════════════════════════[/b> [b>CLOSING STATEMENT[/b> [b>═══════════════════════════════════════════════════════════════════════════════[/b> Opening Range Breakout is not a trick. It's a framework. The first 30-60 minutes reveal where participants believe value lies. Breakouts signal directional conviction. Failures signal trapped participants. Extensions define profit targets. Day types dictate strategy. Failed breakouts create the highest-probability reversals. ORB Fusion doesn't predict the future—it identifies [b>structure[/b>, detects [b>breakouts[/b>, recognizes [b>failures[/b>, and generates [b>probabilistic trade plans[/b> with defined risk and reward. The edge is not in the opening range itself. The edge is in recognizing when the market respects structure (follow breakouts) versus when it violates structure (fade breakouts). The edge is in detecting failures faster than discretionary traders. The edge is in systematic classification that prevents catastrophic errors—like fading a trend day or holding through rotation. Most indicators draw lines. ORB Fusion implements a complete institutional trading methodology: Opening Range theory, Market Profile classification, failed breakout intelligence, Fibonacci projections, volume confirmation, gap psychology, and real-time performance tracking. Whether you're a beginner learning market structure or a professional seeking systematic ORB implementation, this system provides the framework. "The market's first word is its opening range. Everything after is commentary." — ORB Fusion
Pine Script®指標
由DskyzInvestments提供
10
Market Regime# MARKET REGIME IDENTIFICATION & TRADING SYSTEM ## Complete User Guide --- ## 📋 TABLE OF CONTENTS 1. (#overview) 2. (#regimes) 3. (#indicator-usage) 4. (#entry-signals) 5. (#exit-signals) 6. (#regime-strategies) 7. (#confluence) 8. (#backtesting) 9. (#optimization) 10. (#examples) --- ## OVERVIEW ### What This System Does This is a **complete market regime identification and trading system** that: 1. **Identifies 6 distinct market regimes** automatically 2. **Adapts trading tactics** to each regime 3. **Provides high-probability entry signals** with confluence scoring 4. **Shows optimal exit points** for each trade 5. **Can be backtested** to validate performance ### Two Components Provided 1. **Indicator** (`market_regime_indicator.pine`) - Visual regime identification - Entry/exit signals on chart - Dynamic support/resistance - Info tables with live data - Use for manual trading 2. **Strategy** (`market_regime_strategy.pine`) - Fully automated backtestable version - Same logic as indicator - Position sizing and risk management - Performance metrics - Use for backtesting and automation --- ## THE 6 MARKET REGIMES ### 1. 🟢 BULL TRENDING **Characteristics:** - Strong uptrend - Price above SMA50 and SMA200 - ADX > 25 (strong trend) - Higher highs and higher lows - DI+ > DI- (bullish momentum) **What It Means:** - Market has clear upward direction - Buyers in control - Pullbacks are buying opportunities - Strongest regime for long positions **How to Trade:** - ✅ **BUY dips to EMA20 or SMA20** - ✅ Enter when RSI < 60 on pullback - ✅ Hold through minor corrections - ❌ Don't short against the trend - ❌ Don't sell too early **Expected Behavior:** - Pullbacks are shallow (5-10%) - Bounces are strong - Support at moving averages holds - Volume increases on rallies --- ### 2. 🔴 BEAR TRENDING **Characteristics:** - Strong downtrend - Price below SMA50 and SMA200 - ADX > 25 (strong trend) - Lower highs and lower lows - DI- > DI+ (bearish momentum) **What It Means:** - Market has clear downward direction - Sellers in control - Rallies are selling opportunities - Strongest regime for short positions **How to Trade:** - ✅ **SELL rallies to EMA20 or SMA20** - ✅ Enter when RSI > 40 on bounce - ✅ Hold through minor bounces - ❌ Don't buy against the trend - ❌ Don't cover shorts too early **Expected Behavior:** - Rallies are weak (5-10%) - Selloffs are strong - Resistance at moving averages holds - Volume increases on declines --- ### 3. 🔵 BULL RANGING **Characteristics:** - Bullish bias but consolidating - Price near or above SMA50 - ADX < 20 (weak trend) - Trading in range - Choppy price action **What It Means:** - Uptrend is pausing - Accumulation phase - Support and resistance zones clear - Lower volatility **How to Trade:** - ✅ **BUY at support zone** - ✅ Enter when RSI < 40 - ✅ Take profits at resistance - ⚠️ Smaller position sizes - ⚠️ Tighter stops **Expected Behavior:** - Range-bound oscillations - Support bounces repeatedly - Resistance rejections common - Eventually breaks higher (usually) --- ### 4. 🟠 BEAR RANGING **Characteristics:** - Bearish bias but consolidating - Price near or below SMA50 - ADX < 20 (weak trend) - Trading in range - Choppy price action **What It Means:** - Downtrend is pausing - Distribution phase - Support and resistance zones clear - Lower volatility **How to Trade:** - ✅ **SELL at resistance zone** - ✅ Enter when RSI > 60 - ✅ Take profits at support - ⚠️ Smaller position sizes - ⚠️ Tighter stops **Expected Behavior:** - Range-bound oscillations - Resistance holds repeatedly - Support bounces are weak - Eventually breaks lower (usually) --- ### 5. ⚪ CONSOLIDATION **Characteristics:** - No clear direction - Range compression - Very low ADX (< 15 often) - Price inside tight range - Neutral sentiment **What It Means:** - Market is coiling - Building energy for next move - Indecision between buyers/sellers - Calm before the storm **How to Trade:** - ✅ **WAIT for breakout direction** - ✅ Enter on high-volume breakout - ✅ Direction becomes clear - ❌ Don't trade inside the range - ❌ Avoid choppy scalping **Expected Behavior:** - Narrow range - Low volume - False breakouts possible - Explosive move when it breaks --- ### 6. 🟣 CHAOS (High Volatility) **Characteristics:** - Extreme volatility - No clear direction - Erratic price swings - ATR > 2x average - Unpredictable **What It Means:** - Market panic or euphoria - News-driven moves - Emotion dominates logic - Highest risk environment **How to Trade:** - ❌ **STAY OUT!** - ❌ No positions - ❌ Wait for stability - ✅ Protect existing positions - ✅ Reduce risk **Expected Behavior:** - Large intraday swings - Gaps up/down - Stop hunts - Whipsaws - Eventually calms down --- ## INDICATOR USAGE ### Visual Elements #### 1. Background Colors - **Light Green** = Bull Trending (go long) - **Light Red** = Bear Trending (go short) - **Light Teal** = Bull Ranging (buy dips) - **Light Orange** = Bear Ranging (sell rallies) - **Light Gray** = Consolidation (wait) - **Purple** = Chaos (stay out!) #### 2. Regime Labels - Appear when regime changes - Show new regime name - Positioned at highs (bullish) or lows (bearish) #### 3. Entry Signals - **Green "LONG"** labels = Buy here - **Red "SHORT"** labels = Sell here - Number shows confluence score (X/5 signals) - Hover for details (stop, target, RSI, etc.) #### 4. Exit Signals - **Orange "EXIT LONG"** = Close long position - **Orange "EXIT SHORT"** = Close short position - Shows exit reason in tooltip #### 5. Support/Resistance Lines - **Green line** = Dynamic support (buy zone) - **Red line** = Dynamic resistance (sell zone) - Adapts to regime automatically #### 6. Moving Averages - **Blue** = SMA 20 (short-term trend) - **Orange** = SMA 50 (medium-term trend) - **Purple** = SMA 200 (long-term trend) ### Information Tables #### Top Right Table (Main Info) Shows real-time market conditions: - **Current Regime** - What regime we're in - **Bias** - Long, Short, Breakout, or Stay Out - **ADX** - Trend strength (>25 = strong) - **Trend** - Strong, Moderate, or Weak - **Volatility** - High or Normal - **Vol Ratio** - Current vs average volatility - **RSI** - Momentum (>70 overbought, <30 oversold) - **vs SMA50/200** - Price position relative to MAs - **Support/Resistance** - Exact price levels - **Long/Short Signals** - Confluence scores (X/5) #### Bottom Right Table (Regime Guide) Quick reference for each regime: - What action to take - What strategy to use - Color-coded for quick identification --- ## ENTRY SIGNALS EXPLAINED ### Confluence Scoring System (5 Factors) Each entry signal is scored 0-5 based on how many factors align: #### For LONG Entries: 1. ✅ **Regime Alignment** - In Bull Trending or Bull Ranging 2. ✅ **RSI Pullback** - RSI between 35-50 (not overbought) 3. ✅ **Near Support** - Price within 2% of dynamic support 4. ✅ **MACD Turning Up** - Momentum shifting bullish 5. ✅ **Volume Confirmation** - Above average volume #### For SHORT Entries: 1. ✅ **Regime Alignment** - In Bear Trending or Bear Ranging 2. ✅ **RSI Rejection** - RSI between 50-65 (not oversold) 3. ✅ **Near Resistance** - Price within 2% of dynamic resistance 4. ✅ **MACD Turning Down** - Momentum shifting bearish 5. ✅ **Volume Confirmation** - Above average volume ### Confluence Requirements **Minimum Confluence** (default = 2): - 2/5 = Entry signal triggered - 3/5 = Good signal - 4/5 = Strong signal - 5/5 = Excellent signal (rare) **Higher confluence = Higher probability = Better trades** ### Specific Entry Patterns #### 1. Bull Trending Entry ``` Requirements: - Regime = Bull Trending - Price pulls back to EMA20 - Close above EMA20 (bounce) - Up candle (close > open) - RSI < 60 - Confluence ≥ 2 ``` #### 2. Bear Trending Entry ``` Requirements: - Regime = Bear Trending - Price rallies to EMA20 - Close below EMA20 (rejection) - Down candle (close < open) - RSI > 40 - Confluence ≥ 2 ``` #### 3. Bull Ranging Entry ``` Requirements: - Regime = Bull Ranging - RSI < 40 (oversold) - Price at or below support - Up candle (reversal) - Confluence ≥ 1 (more lenient) ``` #### 4. Bear Ranging Entry ``` Requirements: - Regime = Bear Ranging - RSI > 60 (overbought) - Price at or above resistance - Down candle (rejection) - Confluence ≥ 1 (more lenient) ``` #### 5. Consolidation Breakout ``` Requirements: - Regime = Consolidation - Price breaks above/below range - Volume > 1.5x average (explosive) - Strong directional candle ``` --- ## EXIT SIGNALS EXPLAINED ### Three Types of Exits #### 1. Regime Change Exits (Automatic) - **Long Exit**: Regime changes to Bear Trending or Chaos - **Short Exit**: Regime changes to Bull Trending or Chaos - **Reason**: Market character changed, strategy no longer valid #### 2. Support/Resistance Break Exits - **Long Exit**: Price breaks below support by 2% - **Short Exit**: Price breaks above resistance by 2% - **Reason**: Key level violated, trend may be reversing #### 3. Momentum Exits - **Long Exit**: RSI > 70 (overbought) AND down candle - **Short Exit**: RSI < 30 (oversold) AND up candle - **Reason**: Overextension, take profits ### Stop Loss & Take Profit **Stop Loss** (Automatic in strategy): - Placed at Entry - (ATR × 2) - Adapts to volatility - Protected from whipsaws - Typically 2-4% for stocks, 5-10% for crypto **Take Profit** (Automatic in strategy): - Placed at Entry + (Stop Distance × R:R Ratio) - Default 2.5:1 reward:risk - Example: $2 risk = $5 reward target - Allows winners to run --- ## TRADING EACH REGIME ### BULL TRENDING - Most Profitable Long Environment **Strategy: Buy Every Dip** **Entry Rules:** 1. Wait for pullback to EMA20 or SMA20 2. Look for RSI < 60 3. Enter when candle closes above MA 4. Confluence should be 2+ **Stop Loss:** - Below the recent swing low - Or 2 × ATR below entry **Take Profit:** - At previous high - Or 2.5:1 R:R minimum **Position Size:** - Can use full size (2% risk) - High win rate regime **Example Trade:** ``` Price: $100, pulls back to $98 (EMA20) Entry: $98.50 (close above EMA) Stop: $96.50 (2 ATR) Target: $103.50 (2.5:1) Risk: $2, Reward: $5 ``` --- ### BEAR TRENDING - Most Profitable Short Environment **Strategy: Sell Every Rally** **Entry Rules:** 1. Wait for bounce to EMA20 or SMA20 2. Look for RSI > 40 3. Enter when candle closes below MA 4. Confluence should be 2+ **Stop Loss:** - Above the recent swing high - Or 2 × ATR above entry **Take Profit:** - At previous low - Or 2.5:1 R:R minimum **Position Size:** - Can use full size (2% risk) - High win rate regime **Example Trade:** ``` Price: $100, rallies to $102 (EMA20) Entry: $101.50 (close below EMA) Stop: $103.50 (2 ATR) Target: $96.50 (2.5:1) Risk: $2, Reward: $5 ``` --- ### BULL RANGING - Buy Low, Sell High **Strategy: Range Trading (Long Bias)** **Entry Rules:** 1. Wait for price at support zone 2. Look for RSI < 40 3. Enter on reversal candle 4. Confluence should be 1-2+ **Stop Loss:** - Below support zone - Tighter than trending (1.5 ATR) **Take Profit:** - At resistance zone - Don't hold through resistance **Position Size:** - Reduce to 1-1.5% risk - Lower win rate than trending **Example Trade:** ``` Range: $95-$105 Entry: $96 (at support, RSI 35) Stop: $94 (below support) Target: $104 (at resistance) Risk: $2, Reward: $8 (4:1) ``` --- ### BEAR RANGING - Sell High, Buy Low **Strategy: Range Trading (Short Bias)** **Entry Rules:** 1. Wait for price at resistance zone 2. Look for RSI > 60 3. Enter on rejection candle 4. Confluence should be 1-2+ **Stop Loss:** - Above resistance zone - Tighter than trending (1.5 ATR) **Take Profit:** - At support zone - Don't hold through support **Position Size:** - Reduce to 1-1.5% risk - Lower win rate than trending **Example Trade:** ``` Range: $95-$105 Entry: $104 (at resistance, RSI 65) Stop: $106 (above resistance) Target: $96 (at support) Risk: $2, Reward: $8 (4:1) ``` --- ### CONSOLIDATION - Wait for Breakout **Strategy: Breakout Trading** **Entry Rules:** 1. Identify consolidation range 2. Wait for VOLUME SURGE (1.5x+ avg) 3. Enter on close outside range 4. Direction must be clear **Stop Loss:** - Opposite side of range - Or 2 ATR **Take Profit:** - Measure range height, project it - Example: $10 range = $10 move expected **Position Size:** - Reduce to 1% risk - 50% false breakout rate **Example Trade:** ``` Consolidation: $98-$102 (4-point range) Breakout: $102.50 (high volume) Entry: $103 Stop: $100 (back in range) Target: $107 (4-point range projected) Risk: $3, Reward: $4 ``` --- ### CHAOS - STAY OUT! **Strategy: Preservation** **What to Do:** - ❌ NO new positions - ✅ Close existing positions if near entry - ✅ Tighten stops on profitable trades - ✅ Reduce position sizes dramatically - ✅ Wait for regime to stabilize **Why It's Dangerous:** - Stop hunts are common - Whipsaws everywhere - News-driven volatility - No technical reliability - Even "perfect" setups fail **When Does It End:** - Volatility ratio drops < 1.5 - ADX starts rising (direction appears) - Price respects support/resistance again - Usually 1-5 days --- ## CONFLUENCE SYSTEM ### How It Works The system scores each potential entry on 5 factors. More factors aligning = higher probability. ### Confluence Requirements by Regime **Trending Regimes** (strictest): - Minimum 2/5 required - 3/5 = Good - 4-5/5 = Excellent **Ranging Regimes** (moderate): - Minimum 1-2/5 required - 2/5 = Good - 3+/5 = Excellent **Consolidation** (breakout only): - Volume is most critical - Direction confirmation - Less confluence needed ### Adjusting Minimum Confluence **If too few signals:** - Lower from 2 to 1 - More trades, lower quality **If too many false signals:** - Raise from 2 to 3 - Fewer trades, higher quality **Recommendation:** - Start at 2 - Adjust based on win rate - Aim for 55-65% win rate --- ## STRATEGY BACKTESTING ### Loading the Strategy 1. Copy `market_regime_strategy.pine` 2. Open Pine Editor in TradingView 3. Paste and "Add to Chart" 4. Strategy Tester tab opens at bottom ### Initial Settings ``` Risk Per Trade: 2% ATR Stop Multiplier: 2.0 Reward:Risk Ratio: 2.5 Trade Longs: ✓ Trade Shorts: ✓ Trade Trending Only: ✗ (test both) Avoid Chaos: ✓ Minimum Confluence: 2 ``` ### What to Look For **Good Results:** - Win Rate: 50-60% - Profit Factor: 1.8-2.5 - Net Profit: Positive - Max Drawdown: <20% - Consistent equity curve **Warning Signs:** - Win Rate: <45% (too many losses) - Profit Factor: <1.5 (barely profitable) - Max Drawdown: >30% (too risky) - Erratic equity curve (unstable) ### Testing Different Regimes **Test 1: Trending Only** ``` Trade Trending Only: ✓ Result: Higher win rate, fewer trades ``` **Test 2: All Regimes** ``` Trade Trending Only: ✗ Result: More trades, potentially lower win rate ``` **Test 3: Long Only** ``` Trade Longs: ✓ Trade Shorts: ✗ Result: Works in bull markets ``` **Test 4: Short Only** ``` Trade Longs: ✗ Trade Shorts: ✓ Result: Works in bear markets ``` --- ## SETTINGS OPTIMIZATION ### Key Parameters to Adjust #### 1. Risk Per Trade (Most Important) - **0.5%** = Very conservative - **1.0%** = Conservative (recommended for beginners) - **2.0%** = Moderate (recommended) - **3.0%** = Aggressive - **5.0%** = Very aggressive (not recommended) **Impact:** Higher risk = higher returns BUT bigger drawdowns #### 2. Reward:Risk Ratio - **2:1** = More wins needed, hit target faster - **2.5:1** = Balanced (recommended) - **3:1** = Fewer wins needed, hold longer - **4:1** = Very patient, best in trending **Impact:** Higher R:R = can have lower win rate #### 3. Minimum Confluence - **1** = More signals, lower quality - **2** = Balanced (recommended) - **3** = Fewer signals, higher quality - **4** = Very selective - **5** = Almost never triggers **Impact:** Higher = fewer but better trades #### 4. ADX Thresholds - **Trending: 20-30** (default 25) - Lower = detect trends earlier - Higher = only strong trends - **Ranging: 15-25** (default 20) - Lower = identify ranging earlier - Higher = only weak trends #### 5. Trend Period (SMA) - **20-50** = Short-term trends - **50** = Medium-term (default, recommended) - **100-200** = Long-term trends **Impact:** Longer period = slower regime changes, more stable ### Optimization Workflow **Step 1: Baseline** - Use all default settings - Test on 3+ years - Record: Win Rate, PF, Drawdown **Step 2: Risk Optimization** - Test 1%, 1.5%, 2%, 2.5% - Find best risk-adjusted return - Balance profit vs drawdown **Step 3: R:R Optimization** - Test 2:1, 2.5:1, 3:1 - Check which maximizes profit factor - Consider holding time **Step 4: Confluence Optimization** - Test 1, 2, 3 - Find sweet spot for win rate - Aim for 55-65% win rate **Step 5: Regime Filter** - Test with/without trend filter - Test with/without chaos filter - Find what works for your asset --- ## REAL TRADING EXAMPLES ### Example 1: Bull Trending - SPY **Setup:** - Regime: BULL TRENDING - Price pulls back from $450 to $445 - EMA20 at $444 - RSI drops to 45 - Confluence: 4/5 **Entry:** - Price closes at $445.50 (above EMA20) - LONG signal appears - Enter at $445.50 **Risk Management:** - Stop: $443 (2 ATR = $2.50) - Target: $451.75 (2.5:1 = $6.25) - Risk: $2.50 per share - Position: 80 shares (2% of $10k = $200 risk) **Outcome:** - Price rallies to $452 in 3 days - Target hit - Profit: $6.50 × 80 = $520 - Return: 2.6 × risk (excellent) --- ### Example 2: Bear Ranging - AAPL **Setup:** - Regime: BEAR RANGING - Range: $165-$175 - Price rallies to $174 - Resistance at $175 - RSI at 68 - Confluence: 3/5 **Entry:** - Rejection candle at $174 - SHORT signal appears - Enter at $173.50 **Risk Management:** - Stop: $176 (above resistance) - Target: $166 (support) - Risk: $2.50 - Position: 80 shares **Outcome:** - Price drops to $167 in 2 days - Target hit - Profit: $6.50 × 80 = $520 - Return: 2.6 × risk --- ### Example 3: Consolidation Breakout - BTC **Setup:** - Regime: CONSOLIDATION - Range: $28,000 - $30,000 - Compressed for 2 weeks - Volume declining **Breakout:** - Price breaks $30,000 - Volume surges 200% - Close at $30,500 - LONG signal **Entry:** - Enter at $30,500 **Risk Management:** - Stop: $29,500 (back in range) - Target: $32,000 (range height = $2k) - Risk: $1,000 - Position: 0.2 BTC ($200 risk on $10k) **Outcome:** - Price runs to $33,000 - Target exceeded - Profit: $2,500 × 0.2 = $500 - Return: 2.5 × risk --- ### Example 4: Avoiding Chaos - Tesla **Setup:** - Regime: BULL TRENDING - LONG position from $240 - Elon tweets something crazy - Regime changes to CHAOS **Action:** - EXIT signal appears - Close position immediately - Current price: $242 (small profit) **Outcome:** - Next 3 days: wild swings - High $255, Low $230 - By staying out, avoided: - Potential stop out - Whipsaw losses - Stress **Result:** - Small profit preserved - Capital protected - Re-enter when regime stabilizes --- ## ALERTS SETUP ### Available Alerts 1. **Bull Trending Regime** - Market goes bullish 2. **Bear Trending Regime** - Market goes bearish 3. **Chaos Regime** - High volatility, stay out 4. **Long Entry Signal** - Buy opportunity 5. **Short Entry Signal** - Sell opportunity 6. **Long Exit Signal** - Close long 7. **Short Exit Signal** - Close short ### How to Set Up 1. Click **⏰ (Alert)** icon in TradingView 2. Select **Condition**: Choose indicator + alert type 3. **Options**: Popup, Email, Webhook, etc. 4. **Message**: Customize notification 5. Click **Create** ### Recommended Alert Strategy **For Active Traders:** - Long Entry Signal - Short Entry Signal - Long Exit Signal - Short Exit Signal **For Position Traders:** - Bull Trending Regime (enter longs) - Bear Trending Regime (enter shorts) - Chaos Regime (exit all) **For Conservative:** - Only regime change alerts - Manually review entries - More selective --- ## TIPS FOR SUCCESS ### 1. Start Small - Paper trade first - Then 0.5% risk - Build to 1-2% over time ### 2. Follow the Regime - Don't fight it - Adapt your style - Different tactics for each ### 3. Trust the Confluence - 4-5/5 = Best trades - 2-3/5 = Good trades - 1/5 = Skip unless desperate ### 4. Respect Exits - Don't hope and hold - Cut losses quickly - Take profits at targets ### 5. Avoid Chaos - Seriously, just stay out - Protect your capital - Wait for clarity ### 6. Keep a Journal - Record every trade - Note regime and confluence - Review weekly - Learn patterns ### 7. Backtest Thoroughly - 3+ years minimum - Multiple market conditions - Different assets - Walk-forward test ### 8. Be Patient - Best setups are rare - 1-3 trades per week is normal - Quality over quantity - Compound over time --- ## COMMON QUESTIONS **Q: How many trades per month should I expect?** A: Depends on timeframe and settings. Daily chart: 5-15 trades/month. 4H chart: 15-30 trades/month. **Q: What's a good win rate?** A: 55-65% is excellent. 50-55% is good. Below 50% needs adjustment. **Q: Should I trade all regimes?** A: Beginners: Only trending. Intermediate: Trending + ranging. Advanced: All except chaos. **Q: Can I use this on any timeframe?** A: Best on Daily and 4H. Works on 1H with more noise. Not recommended <1H. **Q: What if I'm in a trade and regime changes?** A: Exit immediately (if using indicator) or let strategy handle it automatically. **Q: How do I know if I'm over-optimizing?** A: If results are perfect on one period but fail on another. Use walk-forward testing. **Q: Should I always take 5/5 confluence trades?** A: Yes, but they're rare (1-2/month). Don't wait only for these. **Q: Can I combine this with other indicators?** A: Yes, but keep it simple. RSI, MACD already included. Maybe add volume profile. **Q: What assets work best?** A: Liquid stocks, major crypto, futures. Avoid forex spot (use futures), penny stocks. **Q: How long to hold positions?** A: Trending: Days to weeks. Ranging: Hours to days. Breakout: Days. Let the regime guide you. --- ## FINAL THOUGHTS This system gives you: - ✅ Clear market context (regime) - ✅ High-probability entries (confluence) - ✅ Defined exits (automatic signals) - ✅ Adaptable tactics (regime-specific) - ✅ Backtestable results (strategy version) **Success requires:** - 📚 Understanding each regime - 🎯 Following the signals - 💪 Discipline to wait - 🧠 Emotional control - 📊 Proper risk management **Start your journey:** 1. Load the indicator 2. Watch for 1 week (no trading) 3. Identify regime patterns 4. Paper trade for 1 month 5. Go live with small size 6. Scale up as you gain confidence **Remember:** The market will always be here. There's no rush. Master one regime at a time, and you'll be profitable in all conditions! Good luck! 🚀
Pine Script®指標
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