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Adaptive RSI-Stoch with Butterworth Filter [UAlgo]The Adaptive RSI-Stoch with Butterworth Filter is a technical indicator designed to combine the strengths of the Relative Strength Index (RSI), Stochastic Oscillator, and a Butterworth Filter to provide a smooth and adaptive momentum-based trading signal. This custom-built indicator leverages the RSI to measure market momentum, applies Stochastic calculations for overbought/oversold conditions, and incorporates a Butterworth Filter to reduce noise and smooth out price movements for enhanced signal reliability. By utilizing these combined methods, this indicator aims to help traders identify potential market reversal points, momentum shifts, and overbought/oversold conditions with greater precision, while minimizing false signals in volatile markets. 🔶 Key Features Adaptive RSI and Stochastic Oscillator: Calculates RSI using a configurable period and applies a dual-smoothing mechanism with Stochastic Oscillator values (K and D lines). Helps in identifying momentum strength and potential trend reversals. Butterworth Filter: An advanced signal processing filter that reduces noise and smooths out the indicator values for better trend identification. The filter can be enabled or disabled based on user preferences. Customizable Parameters: Flexibility to adjust the length of RSI, the smoothing factors for Stochastic (K and D values), and the Butterworth Filter period. 🔶 Interpreting the Indicator RSI & Stochastic Calculations: The RSI is calculated based on the closing price over the user-defined period, and further smoothed to generate Stochastic Oscillator values. The K and D values of the Stochastic Oscillator provide insights into short-term overbought or oversold conditions. Butterworth Filter Application: What is Butterworth Filter and How It Works? The Butterworth Filter is a type of signal processing filter that is designed to have a maximally flat frequency response in the passband, meaning it doesn’t distort the frequency components of the signal within the desired range. It is widely used in digital signal processing and technical analysis to smooth noisy data while preserving the important trends in the underlying data. In this indicator, the Butterworth Filter is applied to the trigger value, making the resulting signal smoother and more stable by filtering out short-term fluctuations or noise in price data. Key Concepts Behind the Butterworth Filter: Filter Design: The Butterworth filter works by calculating weighted averages of current and past inputs (price or indicator values) and outputs to produce a smooth output. It is characterized by the absence of ripple in the passband and a smooth roll-off after the cutoff frequency. Cutoff Frequency: The period specified in the indicator acts as a control for the cutoff frequency. A higher period means the filter will remove more high-frequency noise and retain longer-term trends, while a lower period means it will respond more to short-term fluctuations in the data. Smoothing Process: In this script, the Butterworth Filter is calculated recursively using the following formula, butterworth_filter(series float input, int period) => float wc = math.tan(math.pi / period) float k1 = 1.414 * wc float k2 = wc * wc float a0 = k2 / (1 + k1 + k2) float a1 = 2 * a0 float a2 = a0 float b1 = 2 * (k2 - 1) / (1 + k1 + k2) float b2 = (1 - k1 + k2) / (1 + k1 + k2) wc: This is the angular frequency, derived from the period input. k1 and k2: These are intermediate coefficients used in the filter calculation. a0, a1, a2: These are the feedforward coefficients, which determine how much of the current and past input values will contribute to the filtered output. b1, b2: These are feedback coefficients, which determine how much of the past output values will contribute to the current output, effectively allowing the filter to "remember" past behavior and smooth the signal. Recursive Calculation: The filter operates by taking into account not only the current input value but also the previous two input values and the previous two output values. This recursive nature helps it smooth the signal by blending the recent past data with the current data. float filtered_value = a0 * input + a1 * prev_input1 + a2 * prev_input2 filtered_value -= b1 * prev_output1 + b2 * prev_output2 input: The current input value, which could be the trigger value in this case. prev_input1, prev_input2: The previous two input values. prev_output1, prev_output2: The previous two output values. This means the current filtered value is determined by the combination of: A weighted sum of the current input and the last two inputs. A correction based on the last two output values to ensure smoothness and remove noise. In conclusion when filter is enabled, the Butterworth Filter smooths the RSI and Stochastic values to reduce market noise and highlight significant momentum shifts. The filtered trigger value (post-Butterworth) provides a cleaner representation of the market's momentum. Cross Signals for Trade Entries: Buy Signal: A bullish crossover of the K value above the D value, particularly when the values are below 40 and when the Stochastic trigger is below 1 and the filtered trigger is below 35. Sell Signal: A bearish crossunder of the K value below the D value, particularly when the values are above 60 and when the Stochastic trigger is above 99 and the filtered trigger is above 90. These signals are plotted visually on the chart for easy identification of potential trading opportunities. Overbought and Oversold Zones: The indicator highlights the overbought zone when the filtered trigger surpasses a specific threshold (typically above 100) and the oversold zone when it drops below 0. The color-coded fill areas between the Stochastic and trigger lines help visualize when the market may be overbought (likely a reversal down) or oversold (potential reversal up). 🔶 Disclaimer Use with Caution: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Users should exercise caution and perform their own analysis before making trading decisions based on the indicator's signals. Not Financial Advice: The information provided by this indicator does not constitute financial advice, and the creator (UAlgo) shall not be held responsible for any trading losses incurred as a result of using this indicator. Backtesting Recommended: Traders are encouraged to backtest the indicator thoroughly on historical data before using it in live trading to assess its performance and suitability for their trading strategies. Risk Management: Trading involves inherent risks, and users should implement proper risk management strategies, including but not limited to stop-loss orders and position sizing, to mitigate potential losses. No Guarantees: The accuracy and reliability of the indicator's signals cannot be guaranteed, as they are based on historical price data and past performance may not be indicative of future results.
Pine Script®指標
由UAlgo提供
Super Trend ReversalsMain Concept The core idea behind the Super Trend Reversals indicator is to assess the momentum of automated trading bots (often referred to as 'Supertrend bots') that enter the market during critical turning points. Specifically, the indicator is tuned to identify when the market is nearing bottoms or peaks, but just before it shifts direction based on the triggered Supertrend signals. This approach helps traders engage with the market right as the reversal momentum builds up, allowing for entry just as conditions become favorable and exit before momentum wanes. How It Works The Super Trend Reversals uses multiple Supertrend calculations, each with different period and multiplier settings, to form a comprehensive view of the trend. The total trend score from these calculations is then analyzed using the Relative Strength Index (RSI) and Exponential Moving Averages (EMA) to gauge the strength and sustainability of the trend. A key feature of this indicator is the isCurrentRangeSmaller() function, which evaluates if the current price range is lower than the average over the recent period. This function is critical as it helps determine the stability of the market environment, reducing the likelihood of entering or exiting trades based on erratic price movements that could lead to false signals.
Pine Script®指標
由UnknownUnicorn13336802提供
6
Bat Harmonic Pattern [TradingFinder] Bat Chart Indicator🔵 Introduction The Bat Harmonic Pattern, created by Scott Carney in the 1990s, is a sophisticated tool in technical analysis, used to identify potential reversal points in price movements by leveraging Fibonacci ratios. This pattern is classified into two primary types: the Bullish Bat Pattern, which signals the end of a downtrend and the beginning of an uptrend, and the Bearish Bat Pattern, which indicates the conclusion of an uptrend and the onset of a downtrend. 🟣 Bullish Bat Pattern The Bullish Bat Pattern is designed to identify when a downtrend is likely to end and a new uptrend is about to begin. The key feature of this pattern is Point D, which typically aligns near the 88.6% Fibonacci retracement of the XA leg. This point is considered a strong buy zone. When the price reaches Point D after a significant downtrend, it often indicates a potential reversal, presenting a buying opportunity for traders anticipating the start of an upward movement. 🟣 Bearish Bat Pattern In contrast, the Bearish Bat Pattern forms when an uptrend is nearing its conclusion. Point D, which also typically aligns near the 88.6% Fibonacci retracement of the XA leg, serves as a critical point for traders. This point is regarded as a strong sell zone, signaling that the uptrend may be ending, and a downtrend could be imminent. Traders often open short positions when they identify this pattern, aiming to capitalize on the anticipated downward movement. 🔵 How to Use The Bat Pattern consists of five key points: X, A, B, C, and D, and four waves: XA, AB, BC, and CD. Fibonacci ratios play a crucial role in this pattern, helping traders pinpoint precise entry and exit points. In both the Bullish and Bearish Bat Patterns, the 88.6% retracement of the XA leg is a critical level for identifying potential reversal points. 🟣 Bullish Bat Pattern Traders typically enter buy positions after Point D forms, expecting the downtrend to end and a new uptrend to start. This point, located near the 88.6% retracement of the XA leg, serves as a reliable buy signal. 🟣 Bearish Bat Pattern Traders usually open short positions after identifying Point D, expecting the uptrend to end and a downtrend to begin. This point, also near the 88.6% retracement of the XA leg, acts as a valid sell signal. 🟣 Trading Tips for the Bat Pattern Accurate Fibonacci Point Identification : Accurately identify Points X, A, B, C, and D, and calculate the Fibonacci ratios between these points. Point D should ideally be near the 88.6% retracement of the XA leg. Signal Confirmation with Other Tools : To enhance the pattern's accuracy, avoid trading solely based on the Bat Pattern. Risk Management : Always use stop-loss orders. In a Bullish Bat Pattern, place the stop-loss below Point X, and in a Bearish Bat Pattern, above Point X. This helps limit potential losses if the pattern fails. Wait for Price Movement Confirmation : After identifying Point D, wait for the price to move in the anticipated direction to confirm the pattern's validity before entering a trade. Set Realistic Profit Targets : Use Fibonacci retracement levels to set realistic profit targets, such as 38.2%, 50%, and 61.8% retracement levels of the CD leg. This strategy helps maximize profits and prevents premature exits. 🔵 Setting 🟣 Logical Setting ZigZag Pivot Period : You can adjust the period so that the harmonic patterns are adjusted according to the pivot period you want. This factor is the most important parameter in pattern recognition. Show Valid Forma t: If this parameter is on "On" mode, only patterns will be displayed that they have exact format and no noise can be seen in them. If "Off" is, the patterns displayed that maybe are noisy and do not exactly correspond to the original pattern. Show Formation Last Pivot Confirm : if Turned on, you can see this ability of patterns when their last pivot is formed. If this feature is off, it will see the patterns as soon as they are formed. The advantage of this option being clear is less formation of fielded patterns, and it is accompanied by the latest pattern seeing and a sharp reduction in reward to risk. Period of Formation Last Pivot : Using this parameter you can determine that the last pivot is based on Pivot period. 🟣 Genaral Setting Show : Enter "On" to display the template and "Off" to not display the template. Color : Enter the desired color to draw the pattern in this parameter. LineWidth : You can enter the number 1 or numbers higher than one to adjust the thickness of the drawing lines. This number must be an integer and increases with increasing thickness. LabelSize : You can adjust the size of the labels by using the "size.auto", "size.tiny", "size.smal", "size.normal", "size.large" or "size.huge" entries. 🟣 Alert Setting Alert : On / Off Message Frequency : This string parameter defines the announcement frequency. Choices include: "All" (activates the alert every time the function is called), "Once Per Bar" (activates the alert only on the first call within the bar), and "Once Per Bar Close" (the alert is activated only by a call at the last script execution of the real-time bar upon closing). The default setting is "Once per Bar". Show Alert Time by Time Zone : The date, hour, and minute you receive in alert messages can be based on any time zone you choose. For example, if you want New York time, you should enter "UTC-4". This input is set to the time zone "UTC" by default. 🔵 Conclusion The Bat Harmonic Pattern is a powerful tool in technical analysis, offering traders the ability to identify critical reversal points using Fibonacci ratios. By recognizing the Bullish and Bearish Bat Patterns, traders can anticipate potential trend reversals and make informed trading decisions. However, it is essential to combine the Bat Pattern with other technical analysis tools and confirm signals for better trading outcomes. With proper use, this pattern can help traders minimize risk and optimize their entry and exit points in the market.
Pine Script®指標
由TFlab提供
Volume-Based Reversal and Breakout [The_lurker]Indicator Overview: The "Volume-Based Reversal and Breakout Indicator" is designed for use on the TradingView platform. Its primary function is to identify potential reversal candles using volume and price criteria and to mark significant breakout points. This tool is particularly valuable for traders who incorporate reversal patterns and volume analysis in their trading strategies. Detailed Functionality: Customizable Label Color: Traders can choose the color of the labels that mark breakout points, allowing for personalization and better visibility on different chart backgrounds. Volume Multiplier Input: Users can set a 'Volume Multiplier' to define what constitutes significant trading volume. This multiplier is used to compare the current candle's volume with that of the previous candle. A higher volume on the current candle, as defined by this multiplier, is indicative of a significant trading activity. Reversal Candle Criteria: The script identifies a candle as a reversal candle if it meets the following conditions: The closing price of the candle is lower than its opening price, indicating a bearish sentiment. The trading volume of the candle is greater than the product of the previous candle's volume and the user-set volume multiplier. This implies increased trading activity during the formation of this candle. The length of the candle's lower tail is greater than its body, suggesting a rejection of lower prices and potential bullish sentiment building up. Breakout Identification and Marking: Upon detecting a reversal candle, the indicator draws lines at the high and low of this candle. These lines represent potential breakout levels. A breakout is confirmed if the price crosses above the high (indicating a bullish breakout) or below the low (indicating a bearish breakout) of the reversal candle. When a breakout occurs, the indicator places an arrow marker at the breakout point. The direction of the arrow (upwards or downwards) and its color (customizable by the user) indicate the nature of the breakout. Breakout Alerts: The indicator includes an alert condition that notifies traders when a breakout occurs. This feature helps traders to quickly react to potential trading opportunities. Practical Application: The indicator is best used in markets with distinct volume patterns, as volume is a key component of its analysis. It can be combined with other technical analysis tools, such as trend lines or moving averages, for additional confirmation of trading signals. Traders should consider adjusting the volume multiplier based on the typical volume characteristics of the specific asset they are analyzing. Conclusion: This "Volume-Based Reversal and Breakout Indicator" is a robust tool that aids traders in identifying potential reversals and breakouts with an emphasis on volume analysis. It's customizable and alert-enabled features make it a versatile addition to a trader's toolkit, suitable for various trading styles and market conditions. Disclaimer: This indicator is provided "as is" without any warranties, either express or implied. The information and data contained within this indicator do not constitute investment advice or a recommendation to buy or sell any security. Users assume full responsibility for any trading decisions made based on the use of this indicator. Past performance of indicators does not guarantee future results. Investing in financial markets involves risks, including the potential loss of capital. It is strongly advised to consult with a qualified financial advisor before making any investment decisions. The development of this indicator does not constitute an endorsement or recommendation by TradingView or any other entity. All trademarks and trade names mentioned herein are the property of their respective owners.
Pine Script®指標
由The_lurker提供
Reversion Zone IndexThe Reversion Zone Index (RZI) is an indicator that combines the Commodity Channel Index (CCI), Choppiness Index (CI), and Bollinger Bands Percentage (BBPct) to identify mean reversion signals in the market. It is plotted as an Exponential Moving Average (EMA) smoothed oscillator with overbought and oversold zones, and mean reversion signals are represented by red and green arrows. The three indicators are combined to benefit from their complementary aspects and create a more comprehensive view of mean reversion conditions. Here's a brief overview of each indicator's benefits: 1. Commodity Channel Index (CCI): CCI measures the current price level relative to its average over a specified period. It helps identify overbought and oversold conditions, as well as potential trend retracements. By incorporating CCI, the RZI gains insights into momentum and potential turning points. 2. Choppiness Index (CI): CI quantifies the market's choppiness or trendiness by analyzing the range between the highest high and lowest low over a specific period. It indicates whether the market is in a trending or ranging phase. CI provides valuable information about the market state, which can be useful in mean reversion analysis. 3. Bollinger Bands Percentage (BBPct): BBPct measures the current price's position relative to the Bollinger Bands. It calculates the percentage difference between the current price and the bands, identifying potential overbought or oversold conditions. BBPct helps gauge the market's deviation from its typical behavior and highlights potential reversal opportunities. The RZI combines the three indicators by taking an average of their values and applying further calculations. It smooths the combined oscillator using an EMA to reduce noise and enhance the visibility of the trends. Smoothing with EMA provides a more responsive representation of the overall trend and helps filter out short-term fluctuations. The overbought and oversold zones are marked on the chart as reference levels. When the combined oscillator is above the overbought zone or below the oversold zone, it suggests a potential mean reversion signal. Red and green arrows are displayed to visually indicate these mean retracement signals. The RZI is a valuable tool for identifying mean reversion opportunities in the market. It incorporates multiple indicators, each providing unique insights into different aspects of mean reversion, such as momentum, volatility, and price positioning. Traders can use this indicator to spot potential turning points and time their trades accordingly.
Pine Script®指標
由profitprotrading提供
1
Benner-Fibonacci Reversal Points [CC]This is an original script based on a very old idea called the Benner Theory from the Civil War times. Benner discovered a pattern in pig iron prices (no clue what those are), and this turned out to be a parallel idea to indicators based on Fibonacci numbers. Because a year is 365 days (nearly 377, which is a Fibonacci number), made up of 52 weeks (nearly 55, which is another Fibonacci number), or 12 months (nearly 13, which is another Fibonacci number), Benner theorized that he could find both past and future turning points in the market by using a pattern he found. He discovered that peaks in prices seemed to follow a pattern of 8-9-10, meaning that after a recent peak, it would be 8 bars until the next peak, 9 bars until after that peak for the next, and 10 bars until the following peak. For past peaks, he would just need to reverse this pattern, and so the previous peak would be 10 bars before the most current peak, 9 bars before that peak, and 8 bars before the previous one, and these patterns seemed to repeat. For troughs, he found a pattern of 16,18,20 which follows the same logic, and this idea also seemed to work on long-term peaks and troughs as well. This is my version of the Benner theory and the major difference between my version and his is that he would manually select a year or date and either work backwards or forwards from that point. I chose to go with an adaptive version that will automatically detect those points and plot those past and future points. I have included several options such as allowing the algorithm to be calculated in reverse which seems to work well for Crypto for some reason. I also have both short and long term options to only show one or both if you choose and of course the option to enable repainting or leave it disabled. Big thanks to @HeWhoMustNotBeNamed and @RicardoSantos for helping me fix some bugs in my code and for @kerpiciwuasile for suggesting this idea in the first place.
Pine Script®指標
由cheatcountry提供
8
Extreme Trend Reversal Points [HeWhoMustNotBeNamed]Using moving average crossover for identifying the change in trend is very common. However, this method can give lots of false signals during the ranging markets. In this algorithm, we try to find the extreme trend by looking at fully aligned multi-level moving averages and only look at moving average crossover when market is in the extreme trend - either bullish or bearish. These points can mean long term downtrend or can also cause a small pullback before trend continuation. In this discussion, we will also check how to handle different scenarios. 🎲 Components 🎯 Recursive Multi Level Moving Averages Multi level moving average here refers to applying moving average on top of base moving average on multiple levels. For example, Level 1 SMA = SMA(source, length) Level 2 SMA = SMA(Level 1 SMA, length) Level 3 SMA = SMA(Level 2 SMA, length) .. .. .. Level n SMA = SMA(Level (n-1) SMA, length) In this script, user can select how many levels of moving averages need to be calculated. This is achieved through " recursive moving average " algorithm. Requirement for building such algorithm was initially raised by @loxx While I was able to develop them in minimal code with the help of some of the existing libraries built on arrays and matrix , I also thought why not extend this to find something interesting. Note that since we are using variable levels - we will not be able to plot all the levels of moving average. (This is because plotting cannot be done in the loop). Hence, we are using lines to display the latest moving average levels in front of the last candle. Lines are color coded in such a way that least numbered levels are greener and higher levels are redder. 🎯 Finding the trend and range Strength of fully aligned moving average is calculated based on position of each level with respect to other levels. For example, in a complete uptrend, we can find source > L(1)MA > L(2)MA > L(3)MA ...... > L(n-1)MA > L(n)MA Similarly in a complete downtrend, we can find source < L(1)MA < L(2)MA < L(3)MA ...... < L(n-1)MA < L(n)MA Hence, the strength of trend here is calculated based on relative positions of each levels. Due to this, value of strength can range from 0 to Level*(Level-1)/2 0 represents the complete downtrend Level*(Level-1)/2 represents the complete uptrend. Range and Extreme Range are calculated based on the percentile from median. The brackets are defined as per input parameters - Range Percentile and Extreme Range Percentile by using Percentile History as reference length. Moving average plot is color coded to display the trend strength. Green - Extreme Bullish Lime - Bullish Silver - range Orange - Bearish Red - Extreme Bearish 🎯 Finding the trend reversal Possible trend reversals are when price crosses the moving average while in complete trend with all the moving averages fully aligned. Triangle marks are placed in such locations which can help observe the probable trend reversal points. But, there are possibilities of trend overriding these levels. An example of such thing, we can see here: In order to overcome this problem, we can employ few techniques. 1. After the signal, wait for trend reversal (moving average plot color to turn silver) before placing your order. 2. Place stop orders on immediate pivot levels or support resistance points instead of opening market order. This way, we can also place an order in the direction of trend. Whichever side the price breaks out, will be the direction to trade. 3. Look for other confirmations such as extremely bullish and bearish candles before placing the orders. 🎯 An example of using stop orders Let us take this scenario where there is a signal on possible reversal from complete uptrend. Create a box joining high and low pivots at reasonable distance. You can also chose to add 1 ATR additional distance from pivots. Use the top of the box as stop-entry for long and bottom as stop-entry for short. The other ends of the box can become stop-losses for each side. After few bars, we can see that few more signals are plotted but, the price is still within the box. There are some candles which touched the top of the box. But, the candlestick patterns did not represent bullishness on those instances. If you have placed stop orders, these orders would have already filled in. In that case, just wait for position to hit either stop or target. For bullish side, targets can be placed at certain risk reward levels. In this case, we just use 1:1 for bullish (trend side) and 1:1.5 for bearish side (reversal side) In this case, price hit the target without any issue: Wait for next reversal signal to appear before placing another order :)
Pine Script®指標
由Trendoscope提供
82
Combo Strategy 123 Reversal & CMOfilt This is combo strategies for get a cumulative signal. First strategy This System was created from the Book "How I Tripled My Money In The Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies. The strategy buys at market, if close price is higher than the previous close during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50. The strategy sells at market, if close price is lower than the previous close price during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50. Second strategy This indicator plots a CMO which ignores price changes which are less than a threshold value. CMO was developed by Tushar Chande. A scientist, an inventor, and a respected trading system developer, Mr. Chande developed the CMO to capture what he calls "pure momentum". For more definitive information on the CMO and other indicators we recommend the book The New Technical Trader by Tushar Chande and Stanley Kroll. The CMO is closely related to, yet unique from, other momentum oriented indicators such as Relative Strength Index, Stochastic, Rate-of-Change, etc. It is most closely related to Welles Wilder`s RSI, yet it differs in several ways: - It uses data for both up days and down days in the numerator, thereby directly measuring momentum; - The calculations are applied on unsmoothed data. Therefore, short-term extreme movements in price are not hidden. Once calculated, smoothing can be applied to the CMO, if desired; - The scale is bounded between +100 and -100, thereby allowing you to clearly see changes in net momentum using the 0 level. The bounded scale also allows you to conveniently compare values across different securities. WARNING: - For purpose educate only - This script to change bars colors.
Pine Script®指標
由HPotter提供
Combo Backtest 123 Reversal & Bandpass FilterThis is combo strategies for get a cumulative signal. Result signal will return 1 if two strategies is long, -1 if all strategies is short and 0 if signals of strategies is not equal. First strategy This System was created from the Book "How I Tripled My Money In The Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies. The strategy buys at market, if close price is higher than the previous close during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50. The strategy sells at market, if close price is lower than the previous close price during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50. Second strategy The related article is copyrighted material from Stocks & Commodities Mar 2010 You can use in the xPrice any series: Open, High, Low, Close, HL2, HLC3, OHLC4 and ect... WARNING: - For purpose educate only - This script to change bars colors.
Pine Script®策略
由HPotter提供
PivotBoss Wick Reversal SetupPATTERN SUMMARY 1. The body is used to determine the size oftlle reversal wick. A wick tllat is between 2.5 to 3.5 times larger than the size of the body is ideal. 2. For a bullish reversal wick to exist, tlle close ofthe bar should fall witllin tlle top 35 percent of the overall range of the candle. 3. For a bearish reversal wick to exist, the close of the bar should fall within the bottom 35 percent of the overall range of the candle. PATTERN PSYCHOLOGY Figure 2-4 shows several types of bullish and bearish reversal wick candlesticks that can all signal profitable reversal opportunities in the market, especially if these patterns are paired with key pivot levels. In traditional candlestick jargon, these particular candlesticks would have names ranging from hammer , hanging man, inverted hammer , shooting star , gravestone doji , or dragonfly doji , depending on where the candle is placed in a trend. Now you can see why I simply call these candlesticks wicks, or even tails. Instead of fumbling over the proper naming of these candlesticks , I believe it is more important to know what these patterns represent. What are they telling you? Types of Candlestick Reversal Wicks When the market has been trending lower then suddenly forms a reversal wick candlestick , the likelihood of a reversal increases since buyers have finally begun to overwhelm the sellers. Selling pressure rules the decline, but responsive buyers entered the market due to perceived undervaluation. For the reversal wick to open near the high of the candle, sell off sharply intra-bar, and then rally back toward the open of the candle is bullish , as it signifies that the bears no longer have control since they were not able to extend the decline of the candle, or the trend. Instead, the bulls were able to rally price from the lows of the candle and close the bar near the top of its range, which is bullish - at least for one bar, which hadn't been the case during the bearish trend (see Figure 2.5). The Stages of a Reversal Wick Stage 1 Stage 2 Stage 3 Essentially, when a reversal wick forms at the extreme of a trend, the market is telling you that the trend either has stalled or is on the verge of a reversal. Remember, the market auctions higher in search of sellers, and lower in search of buyers. When the market over-extends itself in search of market participants, it will find itself out of value, which means responsive market participants will look to enter the market to push price back toward an area of perceived value. This will help price find a value area for two-sided trade to take place. When the market finds itself too far out of value, responsive market participants will sometimes enter the market with force, which aggressively pushes price in the opposite direction, essentially forming reversal wick candlesticks . This pattern is perhaps the most telling and common reversal setup, but requires steadfast confirmation in order to capitalize on its power. Understanding the psychology behind these formations and learning to identify them quickly will allow you to enter positions well ahead of the crowd, especially if you've spotted these patterns at potentially overvalued or undervalued areas.
Pine Script®指標
由ParCorn提供
3
CCI AnalysesThis script analyses the CCI indicator values, showing when a fall in price or a rise in price may happen, or when the CCI is confirming the trend. The user can personalize: The period to be used and the range of the CCI bands ( by default) The slow SMA period to be used and the price percentage variation to react for bullish/bearish Consecutive number of bullish/bearish in order to consider the CCI as a trend confirmation rather than a price reversal
Pine Script®指標
由quirimmo提供
SMC + OB + FVG + Reversal + UT Bot + Hull Suite – by Fatich.id🎯 7 INTEGRATED SYSTEMS: ✓ Mxwll Suite (SMC + Auto Fibs + CHoCH/BOS) ✓ UT Bot (Trend Signals + Label Management) ✓ Hull Suite (Momentum Analysis) ✓ LuxAlgo FVG (Fair Value Gaps) ✓ LuxAlgo Order Blocks (Volume Pivots) ⭐ NEW ✓ Three Bar Reversal (Pattern Recognition) ✓ Reversal Signals (Momentum Count Style) ⚡ KEY FEATURES: • Smart Money Structure (CHoCH/BOS/I-CHoCH/I-BoS) • Auto Fibonacci (10 customizable levels) • Order Block Detection (Auto mitigation) • Fair Value Gap Tracking • Session Highlights (NY/London/Asia) • Volume Activity Dashboard • Multi-Timeframe Support • Clean Label Management 🎨 PERFECT FOR: • Smart Money Concept Traders • Order Flow & Liquidity Analysis • Support/Resistance Trading • Trend Following & Reversals • Multi-Timeframe Analysis 💡 RECOMMENDED SETTINGS: Clean Charts: OB Count 3, UT Signals 3, FVG 5 Detailed Analysis: OB Count 5-10, All Signals Scalping: Low sensitivity, Hull 20-30 Swing Trading: High sensitivity, Hull 55-100
Pine Script®指標
由fatich_id提供
1
WSMR v3.9 — WhaleSplash → Mean Reversal # WSMR v3.9 — WhaleSplash → Mean Reversal *A Non-Repainting Impulse‑Reversal Engine for Systematic Futures Trading* ## Overview WSMR v3.9 is a complete impulse → exhaustion → mean‑reversion framework designed for systematic intraday trading. It identifies high‑energy displacement events (“WhaleSplashes”), measures volatility structure, tracks VWAP deviation, and confirms reversals using RSI divergence, Z‑Score resets, SMA20 reclaim, and pivot-based structure. All signals are non‑repainting and alerts fire on bar close. --- ## Core Components ### 1. WhaleSplash (Short Impulse Event) Triggered when a candle meets displacement conditions: - Large bar range vs ATR - Minimum % move - Volume expansion - VWAP deviation (tick-based) - Z‑Score oversold / RSI exhaustion - Volatility-gated ### 2. Mean Reversal Long (MR) Requires: - RSI bullish divergence - Z‑Score reset - SMA20 reclaim - Higher-low confirmation ### 3. First-Candle Confirmation (Optional) - MR Confirm → first green after MR - WS Confirm → first red after WS - TTL window configurable ### 4. Asia Session Filter Optional restriction to: **23:00 → 09:00 UTC** ### 5. Volatility Monitor Detects: - Normal - Wicky - Spiky - Extreme ### 6. WS Frequency Analytics Rolling frequency calculation across: - Bars / Days / Weeks / Months --- ## Status Panel (Top-Right) Shows: - Mode (Global / Asia-only) - Timeframe + TTL - WS frequency - Volatility state --- ## Alerts - WhaleSplash SHORT - WhaleSplash LONG (MR) - MR Confirm LONG - WS Confirm SHORT - Volatility Warning --- ## Notes - Fully non‑repainting - Stable bar-close logic - Optimised for 1m–5m - Works on futures, indices, metals, FX
Pine Script®指標
由JohnFrancisNolan提供
BUY/SELL/R/BBuy/Sell/R/B by SeanKidd Purpose: A clean, anchored signal system combining StochRSI crossovers, CVI top/bottom detection, and a MACD direction line that moves with price. ⚙️ How It Works BUY / SELL – Generated from a higher-timeframe StochRSI crossover. BUY (Green) → %K crosses above %D SELL (Red) → %K crosses below %D R (Reverse) – Yellow “R” appears above the candle when the CVI model detects a local top or exhaustion point. B (Bottom) – Blue “B” appears below the candle when CVI detects a local bottom. MACD Direction Line – Green = MACD above Signal → bullish momentum Red = MACD below Signal → bearish momentum The line rides just above the candles, offset by ATR so it always tracks price. 🧭 How to Use It Add the indicator: Search for Buy/Sell/R/B by SeanKidd under Community Scripts. Click ★ to favorite it. Apply it to your chart. Open ⚙️ Settings → Inputs Calculation Timeframe (StochRSI) → pick how fast or slow you want signals (default Weekly). MACD Line Offset (ATR ×) → raise or lower the MACD line if it overlaps candles. Adjust Top/Bottom thresholds to control how often R/B appear. Toggle Highlight bars or Color candles for visual clarity. Go to Settings → Scales and ensure it’s set to ✅ “Scale with Price Chart” or ✅ same scale side as the candles. This keeps everything perfectly attached to the chart. Optional: Add alerts Create → Alert → Condition → Buy/Sell/R/B by SeanKidd Choose: SRSI BUY, SRSI SELL, Top (R), or Bottom (B). 📈 Reading the Chart Marker Meaning Color Position BUY StochRSI %K cross above %D Lime Below bar SELL StochRSI %K cross below %D Red Above bar R CVI-detected top / reversal Yellow Above bar B CVI-detected bottom Blue Below bar Line MACD momentum direction Green/Red Above highs 💡 Tips Works on any symbol or timeframe. Slower charts (Daily–Weekly) give cleaner swing signals. Faster charts (15m–1h) show short-term reversals. Combine the MACD line direction with BUY/SELL for stronger confirmation.
Pine Script®指標
由Seankidd提供
1
Statistical Price Deviation Index (MAD/VWMA)SPDI is a statistical oscillator designed to detect potential price reversal zones by measuring how far price deviates from its typical behavior within a defined rolling window. Instead of using momentum or moving averages like traditional indicators, SPDI applies robust statistics - a rolling median and Mean Absolute Deviation (MAD) - to calculate a normalized measure of price displacement. This normalization keeps the output bounded (from −1 to +1 by default), producing a stable and consistent oscillator that adapts to changing volatility conditions. The second line in SPDI uses a Volume-Weighted Moving Average (VWMA) instead of a simple price median. This creates a complementary oscillator showing statistically weighted deviations based on traded volume. When both oscillators align in their extremes, strong confluence reversal signals are generated. How It Works For each bar, SPDI calculates the median price of the last N bars (default 100). It then measures how far the current bar’s midpoint deviates from that rolling median. The Mean Absolute Deviation (MAD) of those distances defines a “normal” range of fluctuation. The deviation is normalized and compressed via a tanh mapping, keeping the oscillator in fixed boundaries (−1 to +1). The same logic is applied to the VWMA line to gauge volume-weighted deviations. How to Use The blue line (Price MAD) represents pure price deviation. The green line (VWMA Disp) shows the volume-weighted deviation. Overbought (red) zones indicate statistically extreme upward deviation -> potential short-term overextension. Oversold (green) zones indicate statistically extreme downward deviation -> potential rebound area. Confluence signals (both lines hitting the same extreme) often mark strong reversal points. Settings Tips Lookback length controls how much historical data defines “normal” behavior. Larger = smoother, smaller = more sensitive. Smoothing (RMA length) can reduce noise without changing the overall statistical logic. Output scale can be set to either −1..+1 or 0..100, depending on your visual preference. Alerts and color fills are fully customizable in the Style tab. Summary: SPDI transforms raw price and volume data into a statistically bounded deviation index. When both Price MAD and VWMA Disp reach joint extremes, it highlights probable market turning points - offering traders a clean, data-driven way to spot potential reversals ahead of time.
Pine Script®指標
由exploretranspose提供
2