立即開始

在腳本中搜尋"reversal"

Recursive Reversal Chart Patterns [Trendoscope]Caution: This algorithm is very heavy and bound to cause timeouts. If that happens, there are few settings you can change to reduce the load. (Will explain them in the description below) 🎲 Recursive Reversal Chart Patterns Indicator Welcome to another exploration of Zigzag and Pattern ecosystem components. Previously we derived Pitchfork and Recursive Zigzag indicators. This indicator is designed to scan and highlight few popular "Reversal Chart Patterns". Similar to other indicators in the ecosystem, this too is built on recursive zigzags. Double Taps Triple Taps Cup and Handles Head and Shoulders Indicator however names the patterns separately for bullish and bearish formations. So, the actual names you see on the screen are Double Top Double Bottom Triple Top Triple Bottom Cup and Handle Inverted Cup and Handle Head and Shoulders Inverse Head and Shoulders Here is a snapshot on how each category of patterns look on the chart. 🎲 Architecture Many of you may be cursing me for publishing too many libraries. But, these are all preparations for something big. Like other indicators in the Zigzag and Patterns Ecosystem, this too uses a bunch of libraries. 🎯Major direct dependencies ZigzagTypes ZigzagMethods ReversalChartPatternLibrary 🎯Indirect dependencies DrawingTypes DrawingMethods 🎯Minor dependencies Utils TradeTracker 🎲 Indicator Settings 🎯Generic and Zigzag Settings. Note: In case of timeout, please decrease the value of depth parameter 🎯Pattern Selection Having all the patterns selected on chart may also cause timeouts and will make the chart look messy. It is better to limit one or two patterns on the chart to have clear picture. 🎯Scanner Settings 🎯Indicators. These are options to use indicators as secondary confirmation to calculate divergence. If selected, the patterns are shown only if the divergence data is inline. Option also available to plugin external indicator. These calculations are not straightforward and not easy to measure by manual inspection. This feature at present is purely experimental. Have a go and let me know how you feel :)
Pine Script®指標
由Trendoscope提供
47
1-2-3 Pattern (Expo)█ Overview The 1-2-3 pattern is the most basic and important formation in the market. Almost every great market move has started with this formation. That is why you must use this pattern to detect the next big trend. In fact, every trader has used the 1-2-3 formation to detect a trend change without realizing it. Our 1-2-3 Pattern (Expo) indicator helps traders quickly identify the 1-2-3 Reversal Pattern automatically. By analyzing the price action data, the indicator shows the pattern in real-time. When the pattern is discovered, the 1-2-3 Pattern (Expo) Indicator notifies you via its built-in alert feature! Catching the upcoming big move can't be that much simpler. █ How to use The 1-2-3 pattern is used to spot trend reversals. The pattern indicates that a trend is coming to an end and a new one is forming. ----------------- Disclaimer The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information. All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs. My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
Pine Script®指標
由Zeiierman提供
31
RSI Momentum Acceleration by TartigradiaPlots the momentum acceleration oscillators from price and RSI, rescaled and with areas above/below highlighted. Usage: in a nutshell, when the background is yellow, it's bearish (RSI decelerates faster than price), whereas when the background is green, it's bullish (RSI accelerates faster than price). It appears to detect early some reversals that are otherwise difficult to detect. Note: it supports using any other indicator's output as the second source input, instead of RSI. PineScript does not allow for more than one source to receive input from other indicators, all the others must only use price as an input. This indicator uses the core routine to calculate Momentum Acceleration Oscillators by DGT: This indicator is based on the idea of stinkbug : "RSI is a good momentum indicator showing how excited ppl are on a move, this is why divergences on it work so well. I would like to see the change accelerating or slowing on a move up or down.."
Pine Script®指標
由tartigradia提供
8
PivotThis library was designed to create three different datasets using Bill Williams fractals. The goal is to spot trends in reversal data and ultimately use these datasets to help predict future price reversals. First, the pivot() function is used to initialize and populate three separate arrays (high pivot , low pivot , all pivots ). Since each high/low price depends on the bar_index, the bar_index, pivot direction(high/low), and high/low values are compressed into a string to maintain the data's integrity ("__"). Once each string array is populated and organized by bar_index, all three are returned inside a tuple. The return value must be deconstructed H,L,A =pivot() for each array's values to be accessed using getPivot() . This boilerplate allows for data to be accessed more efficiently in a recursive environment. getPivot() was designed to be used inside of a for or while block to populate matrices for further analyses. Again, getPivot() return values must be exposed through deconstruction. x,d,y =getPivot(). See code for more details. pivot(int XLR) initializes and populates arrays Parameters XLR - number of bars to the left and right that must be lower for a high to be considered a pivotHigh, or vice versa. This number will drastically change the size and scope of the returned datasets. smaller values will produce much larger datasets, which might model short term price activity well. In contrast, larger values will produce smaller datasets which might model longer term price activity well. Returns - tuple [string ] getPivot(string arrayID, int index) accesses array data Parameters arrayID - the variable name for one of the three arrays returned by pivot(). index - the index of the provided array, with 0 being the most recent pivot point. can be set to " i " in a loop to access values recursively Returns - tuple
Pine Script®腳本庫
由NeoDaNomad提供
Volume Records + AlertContents Overall Introduction Settings menu parameters Usage How to use alerts Limits Overall Introduction This indicator is a "volume analysis" tool for confirming the direction and strength of price trend and spotting trend reversals. This tool consists of two parts: 1- The colored graph is a custom volume oscillator which shows the relative changes in volume. The darkening of the color of the bars is a sign of increasing volume. 2- Triangular labels that show trading volume records over different time periods based on the absolute values of the volume. By creating an alert, you can be notified of new trading volume records. These records are: Highest / lowest volume in one year, Highest / lowest volume in six month Highest / lowest volume in three month Highest / lowest volume in one month Highest / lowest volume in one week Settings menu parameters {Short Length} => The fast volume MA of the Volume Oscillator. {Long Length} => The slow volume MA of the Volume Oscillator. {Visual Parameters} => Parameters to personalize the appearance of the indicator. {Alert Conditions Part 01: Highest Records ⏰ } => Parameters to customize the alert. {Alert Conditions Part 02: Lowest Records ⏰ } => Parameters to customize the alert. Usage This indicator is a "volume analysis" tool for confirming the direction and strength of price trend and spotting trend reversals. What Is Volume Analysis? Volume analysis involves examining relative or absolute changes in an asset's trading volume in order to make inferences about future price movements. A significant price increase along with a significant volume increase, for example, could be a credible sign of a continued bullish trend or a bullish reversal. The gradual darkening of the bars is a sign of the strength of the trend. Volume can be an indicator of market strength, as rising markets on increasing volume are typically viewed as strong and healthy. How to use alerts Note that by creating an alert, an instance of the indicator, with all your settings, will be activated on the site's server and alerts will be triggered by it. After that, changing the indicator settings on the chart will no longer affect the alert. Open the settings window and select the alert conditions as you wish Click the Create Alert button (or press the A key while holding down the ALT key) In the Condition section, select the name of the indicator. Make the rest of the settings as you wish. Finally, click on the Create button. It's finished. After a few moments, your alert will be added to the Alerts menu. Limits The labels are displayed after the bars close. Labels are displayed for the last 10,000 bars.
Pine Script®指標
由BobRivera990提供
10
Supertrend Screener LABELThis screens for Supertrend reversal's in 10 different securities. The main logic for the screener is taken from "Simple Custom Screener in Pinescript" by QuantNomad with his permission. If the label color is not visible due to the text in it being white colored, then choose a different color from settings. Also added a simple supertrend to it. Terminology explanation: Confirmed Reversal: Supertrend reversal that happened in the last bar and cannot be repainted. Potential Reversal: Supertrend reversal that might happen in the current bar but can also not happen depending upon the timeframe closing price. Uptrend/Downtrend : Shows all the tickers that are either currently in uptrend or downtrend.
Pine Script®指標
由zzzcrypto123提供
24
Vortex Trend TrackerThough it may sound complex, the Vortex Indicator is essentially an uptrend line and a downtrend line. The vortex indicator can be used for a variety of purposes, including tracking the strength of trends, identifying/anticipating reversals, and generating entry/exit signals. It’s calculation is shown in the open-source code below. To reduce the number of whipsaws produced by the indicator, we used an Exponential Moving Average of vmPlus and vmNegative values with a default length of 10. Decreasing this length will result in a more responsive vortex at the cost of more whipsaws and false signals. The chart shows the absolute value of the difference between the uptrend and downtrend line displayed as the main histogram. If the uptrend line is greater than the downtrend (thus indicating positive movement), then the histogram bars will be either light green or dark green. If the uptrend line has just now crossed the downtrend line, then the bar will be dark green. Bars will also be dark green when the uptrend line is greater than the downtrend line and the uptrend line is increasing. This means the trend is increasing in strength still. If the uptrend line is greater than the downtrend line, but is decreasing, then the bars will be light green. This means that the upwards trend is losing strength. If the downtrend line is greater than the uptrend line, then there is a negative trend occurring and the bars will be either red or light red. If the downtrend line has just crossed over the uptrend line or is increasing in value, then the bar will be red. If the downtrend line is greater than the uptrend line, but is decreasing in value, then the bars will be light red (meaning the downtrend is weakening). One way to trade using this vortex is to enter a long position when the bar color changes from red to light red. This would mean that the downtrend is decreasing in strength and an upwards reversal is likely to occur soon. Then, traders can exit their long position when the bars change from dark green to light green. When that color change occurs it means that the uptrend is running out of steam and price is unlikely to continue its upwards climb. Traders can also choose to have the uptrend and downtrend lines plotted as well in the input menu. This may make it easier to visualize the Vortex and its usefulness in identifying reversals.
Pine Script®指標
由ProfitProgrammers提供
10
Connors VIX Reversal III invented by Dave LandryThis strategy is based on trading signals derived from the behavior of the Volatility Index (VIX) relative to its 10-day moving average. The rules are split into buying and selling conditions: Buy Conditions: The VIX low must be above its 10-day moving average. The VIX must close at least 10% above its 10-day moving average. If both conditions are met, a buy signal is generated at the market's close. Sell Conditions: The VIX high must be below its 10-day moving average. The VIX must close at least 10% below its 10-day moving average. If both conditions are met, a sell signal is generated at the market's close. Exit Conditions: For long positions, the strategy exits when the VIX trades intraday below its previous day’s 10-day moving average. For short positions, the strategy exits when the VIX trades intraday above its previous day’s 10-day moving average. This strategy is primarily a mean-reversion strategy, where the market is expected to revert to a more normal state after the VIX exhibits extreme behavior (i.e., large deviations from its moving average). About Dave Landry Dave Landry is a well-known figure in the world of trading, particularly in technical analysis. He is an author, trader, and educator, best known for his work on swing trading strategies. Landry focuses on trend-following and momentum-based techniques, teaching traders how to capitalize on shorter-term price swings in the market. He has written books like "Dave Landry on Swing Trading" and "The Layman's Guide to Trading Stocks," which emphasize practical, actionable trading strategies. About Connors Research Connors Research is a financial research firm known for its quantitative research in financial markets. Founded by Larry Connors, the firm specializes in developing high-probability trading systems based on historical market behavior. Connors’ work is widely respected for its data-driven approach, including systems like the RSI(2) strategy, which focuses on short-term mean reversion. The firm also provides trading education and tools for institutional and retail traders alike, emphasizing strategies that can be backtested and quantified. Risks of the Strategy While this strategy may appear to offer promising opportunities to exploit extreme VIX movements, it carries several risks: Market Volatility: The VIX itself is a measure of market volatility, meaning the strategy can be exposed to sudden and unpredictable market swings. This can result in whipsaws, where positions are opened and closed in rapid succession due to sharp reversals in the VIX. Overfitting: Strategies based on specific conditions like the VIX closing 10% above or below its moving average can be subject to overfitting, meaning they work well in historical tests but may underperform in live markets. This is a common issue in quantitative trading systems that are not adaptable to changing market conditions . Mean-Reversion Assumption: The core assumption behind this strategy is that markets will revert to their mean after extreme movements. However, during periods of sustained trends (e.g., market crashes or rallies), this assumption may break down, leading to prolonged drawdowns. Liquidity and Slippage: Depending on the asset being traded (e.g., S&P 500 futures, ETFs), liquidity issues or slippage could occur when executing trades at market close, particularly in volatile conditions. This could increase costs or worsen trade execution. Scientific Explanation of the Strategy The VIX is often referred to as the "fear gauge" because it measures the market's expectations of volatility based on options prices. Research has shown that the VIX tends to spike during periods of market stress and revert to lower levels when conditions stabilize . Mean reversion strategies like this one assume that extreme VIX levels are unsustainable in the long run, which aligns with findings from academic literature on volatility and market behavior. Studies have found that the VIX is inversely correlated with stock market returns, meaning that higher VIX levels often correspond to lower stock prices and vice versa . By using the VIX’s relationship with its 10-day moving average, this strategy aims to capture reversals in market sentiment. The 10% threshold is designed to identify moments when the VIX is significantly deviating from its norm, signaling a potential reversal. However, academic research also highlights the limitations of relying on the VIX alone for trading signals. The VIX does not predict market direction, only volatility, meaning that it cannot indicate the magnitude of price movements . Furthermore, extreme VIX levels can persist longer than expected, particularly during financial crises. In conclusion, while the strategy is grounded in well-established financial principles (e.g., mean reversion and the relationship between volatility and market performance), it carries inherent risks and should be used with caution. Backtesting and careful risk management are essential before applying this strategy in live markets.
Pine Script®策略
由EdgeTools提供
MACD with 1D Stochastic Confirmation Reversal StrategyOverview The MACD with 1D Stochastic Confirmation Reversal Strategy utilizes MACD indicator in conjunction with 1 day timeframe Stochastic indicators to obtain the high probability short-term trend reversal signals. The main idea is to wait until MACD line crosses up it’s signal line, at the same time Stochastic indicator on 1D time frame shall show the uptrend (will be discussed in methodology) and not to be in the oversold territory. Strategy works on time frames from 30 min to 4 hours and opens only long trades. Unique Features Dynamic stop-loss system: Instead of fixed stop-loss level strategy utilizes average true range (ATR) multiplied by user given number subtracted from the position entry price as a dynamic stop loss level. Configurable Trading Periods: Users can tailor the strategy to specific market windows, adapting to different market conditions. Higher time frame confirmation: Strategy utilizes 1D Stochastic to establish the major trend and confirm the local reversals with the higher probability. Trailing take profit level: After reaching the trailing profit activation level scrip activate the trailing of long trade using EMA. More information in methodology. Methodology The strategy opens long trade when the following price met the conditions: MACD line of MACD indicator shall cross over the signal line of MACD indicator. 1D time frame Stochastic’s K line shall be above the D line. 1D time frame Stochastic’s K line value shall be below 80 (not overbought) When long trade is executed, strategy set the stop-loss level at the price ATR multiplied by user-given value below the entry price. This level is recalculated on every next candle close, adjusting to the current market volatility. At the same time strategy set up the trailing stop validation level. When the price crosses the level equals entry price plus ATR multiplied by user-given value script starts to trail the price with EMA. If price closes below EMA long trade is closed. When the trailing starts, script prints the label “Trailing Activated”. Strategy settings In the inputs window user can setup the following strategy settings: ATR Stop Loss (by default = 3.25, value multiplied by ATR to be subtracted from position entry price to setup stop loss) ATR Trailing Profit Activation Level (by default = 4.25, value multiplied by ATR to be added to position entry price to setup trailing profit activation level) Trailing EMA Length (by default = 20, period for EMA, when price reached trailing profit activation level EMA will stop out of position if price closes below it) User can choose the optimal parameters during backtesting on certain price chart, in our example we use default settings. Justification of Methodology This strategy leverages 2 time frames analysis to have the high probability reversal setups on lower time frame in the direction of the 1D time frame trend. That’s why it’s recommended to use this strategy on 30 min – 4 hours time frames. To have an approximation of 1D time frame trend strategy utilizes classical Stochastic indicator. The Stochastic Indicator is a momentum oscillator that compares a security's closing price to its price range over a specific period. It's used to identify overbought and oversold conditions. The indicator ranges from 0 to 100, with readings above 80 indicating overbought conditions and readings below 20 indicating oversold conditions. It consists of two lines: %K: The main line, calculated using the formula (CurrentClose−LowestLow)/(HighestHigh−LowestLow)×100 . Highest and lowest price taken for 14 periods. %D: A smoothed moving average of %K, often used as a signal line. Strategy logic assumes that on 1D time frame it’s uptrend in %K line is above the %D line. Moreover, we can consider long trade only in %K line is below 80. It means that in overbought state the long trade will not be opened due to higher probability of pullback or even major trend reversal. If these conditions are met we are going to our working (lower) time frame. On the chosen time frame, we remind you that for correct work of this strategy you shall use 30min – 4h time frames, MACD line shall cross over it’s signal line. The MACD (Moving Average Convergence Divergence) is a popular momentum and trend-following indicator used in technical analysis. It helps traders identify changes in the strength, direction, momentum, and duration of a trend in a stock's price. The MACD consists of three components: MACD Line: This is the difference between a short-term Exponential Moving Average (EMA) and a long-term EMA, typically calculated as: MACD Line=12-period EMA−26-period Signal Line: This is a 9-period EMA of the MACD Line, which helps to identify buy or sell signals. When the MACD Line crosses above the Signal Line, it can be a bullish signal (suggesting a buy); when it crosses below, it can be a bearish signal (suggesting a sell). Histogram: The histogram shows the difference between the MACD Line and the Signal Line, visually representing the momentum of the trend. Positive histogram values indicate increasing bullish momentum, while negative values indicate increasing bearish momentum. In our script we are interested in only MACD and signal lines. When MACD line crosses signal line there is a high chance that short-term trend reversed to the upside. We use this strategy on 45 min time frame. ATR is used to adjust the strategy risk management to the current market volatility. If volatility is low, we don’t need the large stop loss to understand the there is a high probability that we made a mistake opening the trade. User can setup the settings ATR Stop Loss and ATR Trailing Profit Activation Level to realize his own risk to reward preferences, but the unique feature of a strategy is that after reaching trailing profit activation level strategy is trying to follow the trend until it is likely to be finished instead of using fixed risk management settings. It allows sometimes to be involved in the large movements. Backtest Results Operating window: Date range of backtests is 2023.01.01 - 2024.08.01. It is chosen to let the strategy to close all opened positions. Commission and Slippage: Includes a standard Binance commission of 0.1% and accounts for possible slippage over 5 ticks. Initial capital: 10000 USDT Percent of capital used in every trade: 30% Maximum Single Position Loss: -4.79% Maximum Single Profit: +20.14% Net Profit: +2361.33 USDT (+44.72%) Total Trades: 123 (44.72% win rate) Profit Factor: 1.623 Maximum Accumulated Loss: 695.80 USDT (-5.48%) Average Profit per Trade: 19.20 USDT (+0.59%) Average Trade Duration: 30 hours These results are obtained with realistic parameters representing trading conditions observed at major exchanges such as Binance and with realistic trading portfolio usage parameters. How to Use Add the script to favorites for easy access. Apply to the desired timeframe between 30 min and 4 hours and chart (optimal performance observed on 45 min BTC/USDT). Configure settings using the dropdown choice list in the built-in menu. Set up alerts to automate strategy positions through web hook with the text: {{strategy.order.alert_message}} Disclaimer: Educational and informational tool reflecting Skyrex commitment to informed trading. Past performance does not guarantee future results. Test strategies in a simulated environment before live implementation
Pine Script®策略
由Skyrexio提供
2
Aurora Flow Oscillator [QuantAlgo]The Aurora Flow Oscillator is an advanced momentum-based technical indicator designed to identify market direction, momentum shifts, and potential reversal zones using adaptive filtering techniques. It visualizes price momentum through a dynamic oscillator that quantifies trend strength and direction, helping traders and investors recognize momentum shifts and trading opportunities across various timeframes and asset class. 🟢 Technical Foundation The Aurora Flow Oscillator employs a sophisticated mathematical approach with adaptive momentum filtering to analyze market conditions, including: Price-Based Momentum Calculation: Calculates logarithmic price changes to measure the rate and magnitude of market movement Adaptive Momentum Filtering: Applies an advanced filtering algorithm to smooth momentum calculations while preserving important signals Acceleration Analysis: Incorporates momentum acceleration to identify shifts in market direction before they become obvious Signal Normalization: Automatically scales the oscillator output to a range between -100 and 100 for consistent interpretation across different market conditions The indicator processes price data through multiple filtering stages, applying mathematical principles including exponential smoothing with adaptive coefficients. This creates an oscillator that dynamically adjusts to market volatility while maintaining responsiveness to genuine trend changes. 🟢 Key Features & Signals 1. Momentum Flow and Extreme Zone Identification The oscillator presents market momentum through an intuitive visual display that clearly indicates both direction and strength: Above Zero: Indicates positive momentum and potential bullish conditions Below Zero: Indicates negative momentum and potential bearish conditions Slope Direction: The angle and direction of the oscillator provide immediate insight into momentum strength Zero Line Crossings: Signal potential trend changes and new directional momentum The indicator also identifies potential overbought and oversold market conditions through extreme zone markings: Upper Zone (>50): Indicates strong bullish momentum that may be approaching exhaustion Lower Zone (<-50): Indicates strong bearish momentum that may be approaching exhaustion Extreme Boundaries (±95): Mark potentially unsustainable momentum levels where reversals become increasingly likely These zones are displayed with gradient intensity that increases as the oscillator moves toward extremes, helping traders and investors: → Identify potential reversal zones → Determine appropriate entry and exit points → Gauge overall market sentiment strength 2. Customizable Trading Style Presets The Aurora Flow Oscillator offers pre-configured settings for different trading approaches: Default (80,150): Balanced configuration suitable for most trading and investing situations. Scalping (5,80): Highly responsive settings for ultra-short-term trades. Generates frequent signals and catches quick price movements. Best for 1-15min charts when making many trades per day. Day Trading (8,120): Optimized for intraday movements with faster response than default settings while maintaining reasonable signal quality. Ideal for 5-60min or 4h-12h timeframes. Swing Trading (10,200): Designed for multi-day positions with stronger noise filtering. Focuses on capturing larger price swings while avoiding minor fluctuations. Works best on 1-4h and daily charts. Position Trading (14,250): For longer-term position traders/investors seeking significant market trends. Reduces false signals by heavily filtering market noise. Ideal for daily or even weekly charts. Trend Following (16,300): Maximum smoothing that prioritizes established directional movements over short-term fluctuations. Best used on daily and weekly charts, but can also be used for lower timeframe trading. Countertrend (7,100): Tuned to detect potential reversals and exhaustion points in trends. More sensitive to momentum shifts than other presets. Effective on 15min-4h charts, as well as daily and weekly charts. Each preset automatically adjusts internal parameters for optimal performance in the selected trading context, providing flexibility across different market approaches without requiring complex manual configuration. 🟢 Practical Usage Tips 1/ Trend Analysis and Interpretation → Direction Assessment: Evaluate the oscillator's position relative to zero to determine underlying momentum bias → Momentum Strength: Measure the oscillator's distance from zero within the -100 to +100 range to quantify momentum magnitude → Trend Consistency: Monitor the oscillator's path for sustained directional movement without frequent zero-line crossings → Reversal Detection: Watch for oscillator divergence from price and deceleration of movement when approaching extreme zones 2/ Signal Generation Strategies Depending on your trading approach, multiple signal strategies can be employed: Trend Following Signals: Enter long positions when the oscillator crosses above zero Enter short positions when the oscillator crosses below zero Add to positions on pullbacks while maintaining the overall trend direction Countertrend Signals: Look for potential reversals when the oscillator reaches extreme zones (±95) Enter contrary positions when momentum shows signs of exhaustion Use oscillator divergence with price as additional confirmation Momentum Shift Signals: Enter positions when oscillator changes direction after establishing a trend Exit positions when oscillator direction reverses against your position Scale position size based on oscillator strength percentage 3/ Timeframe Optimization The indicator can be effectively applied across different timeframes with these considerations: Lower Timeframes (1-15min): Use Scalping or Day Trading presets Focus on quick momentum shifts and zero-line crossings Be cautious of noise in extreme market conditions Medium Timeframes (30min-4h): Use Default or Swing Trading presets Look for established trends and potential reversal zones Combine with support/resistance analysis for entry/exit precision Higher Timeframes (Daily+): Use Position Trading or Trend Following presets Focus on major trend identification and long-term positioning Use extreme zones for position management rather than immediate reversals 🟢 Pro Tips Price Momentum Period: → Lower values (5-7) increase sensitivity to minor price fluctuations but capture more market noise → Higher values (10-16) emphasize sustained momentum shifts at the cost of delayed response → Adjust based on your timeframe (lower for shorter timeframes, higher for longer timeframes) Oscillator Filter Period: → Lower values (80-120) produce more frequent directional changes and earlier response to momentum shifts → Higher values (200-300) filter out shorter-term fluctuations to highlight dominant market cycles → Match to your typical holding period (shorter holding time = lower filter values) Multi-Timeframe Analysis: → Compare oscillator readings across different timeframes for confluence → Look for alignment between higher and lower timeframe signals → Use higher timeframe for trend direction, lower for earlier entries Volatility-Adaptive Trading: → Use oscillator strength to adjust position sizing (stronger = larger) → Consider reducing exposure when oscillator reaches extreme zones → Implement tighter stops during periods of oscillator acceleration Combination Strategies: → Pair with volume indicators for confirmation of momentum shifts → Use with support/resistance levels for strategic entry and exit points → Combine with volatility indicators for comprehensive market context
Pine Script®指標
由QuantAlgo提供
6
Trending Market Toolkit [LuxAlgo]The Trending Market Toolkit focuses exclusively on trending market structures and high-confluence, high-risk-to-reward entry models. It is designed to complement discretionary trading by offering different entry strategies based on market structure. 🔶 USAGE In the chart above we can see how the tool detects several reversals, draws the broken trendlines, the reversal areas from which the tool starts looking for a trigger, and when it finally happens, a potential trade with risk and reward areas and the risk/reward ratio. 🔹 Detection Mode Traders can choose between three different modes: trend only, reversal only, or both. If both are active, reversals have priority over trends, so the tool will not detect a trend if a reversal is active. In the chart above we can see all three modes. 🔹 Detection on Higher Timeframes Traders can choose to identify structures on the chart timeframe or on a higher timeframe. In the chart above, we have the SP500 futures on the 5m timeframe with different settings: chart timeframe, 30m, and 1H. 🔹 Risk And Targets Depending on whether the high-risk/reward parameter is enabled, traders can choose between three different targets and two different stops. The chart above shows how different choices affect the risk/reward ratio for the same potential trade on the Gold Futures 2m chart. 🔶 SETTINGS Show: Traders can choose between Trends, Reversals or Both. 🔹 Structures Swing Length: Number of candles to confirm a swing high or swing low. A higher number detects larger swings. Custom Timeframe: Traders can make use of the current chart timeframe, or choose a custom timeframe. Reversal Area Threshold: A higher number increases the reversal area. 🔹 Trades Trade Trigger Length: Number of candles to confirm an internal high or internal low. A lower number detects smaller swings. It must be the same size or smaller than the swing length. Target: Traders can choose between the default target (0) or two extended targets (0.27 or 0.618). Risk to Reward Threshold: Set the minimum risk-to-reward ratio to detect trades. Use the 0 value to detect all trades. High Risk to Reward: Enable/Disable the high risk to reward mode.
Pine Script®指標
由LuxAlgo提供
13
Consecutive Bearish Candle Strategy█ STRATEGY DESCRIPTION The "Consecutive Bearish Candle Strategy" is a momentum-based strategy designed to identify potential reversals after a sustained bearish move. It enters a long position when a specific number of consecutive bearish candles occur and exits when the price shows strength by exceeding the previous bar's high. This strategy is optimized for use on various timeframes and instruments. █ SIGNAL GENERATION 1. LONG ENTRY A Buy Signal is triggered when: The close price has been lower than the previous close for at least `Lookback` consecutive bars. This indicates a sustained bearish move, suggesting a potential reversal. The signal occurs within the specified time window (between `Start Time` and `End Time`). 2. EXIT CONDITION A Sell Signal is generated when the current closing price exceeds the high of the previous bar (`close > high `). This indicates that the price has shown strength, potentially confirming the reversal and prompting the strategy to exit the position. █ ADDITIONAL SETTINGS Lookback: The number of consecutive bearish bars required to trigger a Buy Signal. Default is 3. Start Time and End Time: The time window during which the strategy is allowed to execute trades. █ PERFORMANCE OVERVIEW This strategy is designed for markets with frequent momentum shifts. It performs best in volatile conditions where price movements are significant. Backtesting results should be analysed to optimize the `Lookback` parameter for specific instruments.
Pine Script®策略
由Botnet101提供
FVG Channel [LuxAlgo]The FVG Channel indicator displays a channel constructed from the averages of unmitigated historical fair value gaps (FVG), allowing to identify trends and potential reversals in the market. Users can control the amount of FVGs to consider for the calculation of the channels, as well as their degree of smoothness through user settings. 🔶 USAGE The FVG Channel is constructed by averaging together recent unmitigated Bullish FVGs (contributing to the creation of the upper bands), and Bearish unmitigated FVGs (contributing to the creation of the lower bands) within a lookback determined by the user. A higher lookback will return longer-term indications from the indicator. The channel includes 5 bands, with one upper and one lower outer extremities, as well as an inner series of values determined using the Fibonacci ratios (respectively 0.786, 0.5, 0.236) from the channel's outer extremities. An uptrend can be identified by price holding above the inner upper band (obtained from the 0.786 ratio), this band can also provide occasional support when the price retraces to it while in an uptrend. Breaking below the inner upper band with an unwillingness to reach above again is a clear sign of hesitation in the market and can be indicative of an upcoming consolidation or reversal. This can directly be applied to downtrends as well, below are examples displaying both scenarios. Uptrend Example: Downtrend Example: 🔹 Breakout Levels When the price mitigates all FVGs in a single direction except for 1, the indicator will display a "Breakout Level". This is the level that price will need to cross in order for all FVGs in that direction to be mitigated, because of this they can also be aptly called "Last Stand Levels". These levels can be considered as potential support and resistance levels, however, should always be monitored for breakouts since a substantial push above or below these points would indicate strong momentum. 🔹 Signals The indicator includes Bullish and Bearish Signals, these signals fire when all FVGs for a single direction have been mitigated and an engulfing candle occurs in the opposite direction. These are reversal signals and should be used alongside other indicators to appropriately manage risk. Note: When all FVGs in a single direction have been mitigated, the candles will change colors accordingly. 🔶 DETAILS The script uses a typical identification method for FVGs. Once identified, the script collects and stores the mitigation levels of the respective bullish and bearish FVGs: For Bullish FVGs this is the bottom of the FVG. For Bearish FVGs this is the top of the FVG. The data is managed to only consider a specific amount of FVG mitigation levels, determined by the set "Unmitigated FVG Lookback". If an FVG is mitigated, it frees up a spot in the memory for a new FVG, however, if the memory is full, the oldest will be deleted. The averages displayed (Channel Upper and Lower) are created from 2 calculation steps, the first step involves taking the raw average of the FVG mitigation levels, and the second step applies a simple moving average (SMA) smoothing of the precedent obtained averages. Note: To view the mitigation levels average obtained in the first step, the "Smoothing Length" can be set to 1. 🔶 SETTINGS Unmitigated FVG Lookback: Sets the maximum number of Unmitigated FVG mitigation levels that the script will use to calculate the channel. Smoothing Length: Sets the smoothing length for the channel to reduce noise from the raw data.
Pine Script®指標
由LuxAlgo提供
10
Change in State of Delivery CISD ICT [TradingFinder] Liquidity 1🔵 Introduction 🟣 What is CISD ? Change in State of Delivery (CISD) is a key concept in technical analysis, similar to Change of Character (ChoCh) and Market Structure Shift (MSS) in the ICT (Inner Circle Trader) and Smart Money trading styles. Like ChoCh and MSS, CISD helps traders identify critical changes in market structure and make timely entries into trades. To determine the CISD Level, traders typically review the last 1 to 4 candles to identify the first positive or negative candle. The CISD Level is then set using the opening price of the next candle. In this version of the indicator, support and resistance levels are defined based on liquidity, which includes patterns such as SFP (Swing Failure Pattern), fake breakout, and false breakout. Bullish CISD : Bearish CISD : 🔵 How to Use 🟣 Bullish CISD (Change in State of Delivery Upward) In Bullish CISD, the trend shifts from bearish to bullish after the price hits a liquidity zone, typically indicated by patterns such as SFP, fake breakout, or false breakout. The steps to identify Bullish CISD are as follow s: Identify the liquidity zone (SFP, fake breakout). Review the candles and find the first positive candle. Set the CISD Level using the opening price of the next candle after the positive candle. Confirm the change in state of delivery when the price closes above the CISD Level. Enter the trade after CISD confirmation. 🟣 Bearish CISD (Change in State of Delivery Downward) In Bearish CISD, the trader looks for a shift from a bullish to a bearish trend. This change typically occurs when the price hits a liquidity level, indicated by patterns such as SFP or false breakout. The steps to identify Bearish CISD are : Identify the liquidity zone. Review the candles and find the first negative candle. Set the CISD Level using the opening price of the next candle after the negative candle. Confirm the change in state of delivery when the price closes below the CISD Level. Enter a short trade after CISD confirmation. 🟣 CISD Compared to ChoCh and MSS (CISD Vs ChoCh/ MSS) CISD, ChoCh, and MSS are all tools for identifying trend changes in the market, but they have some differences : CISD: Focuses on a change in the state of delivery and uses liquidity patterns (SFP, fake breakout) and key candles to confirm trend reversals. ChoCh: Identifies a change in the market’s character, often signaling rapid shifts in trend direction. MSS: Focuses on changes in market structure and identifies the breaking of key levels as a signal of trend shifts. 🔵 Settings 🟣 CISD Logical settings Bar Back Check : Determining the return of candles to identify the CISD level. CISD Level Validity : CISD level validity period based on the number of candles. 🟣 SFP Logical settings Swing period : You can set the swing detection period. Max Swing Back Method : It is in two modes "All" and "Custom". If it is in "All" mode, it will check all swings, and if it is in "Custom" mode, it will check the swings to the extent you determine. Max Swing Back : You can set the number of swings that will go back for checking. 🟣 CISD Display settings Displaying or not displaying swings and setting the color of labels and lines. 🟣 SFP Display settings Displaying or not displaying swings and setting the color of labels and lines. 🔵 Conclusion CISD is a powerful tool for identifying trend reversals using liquidity patterns and key candle analysis. Traders can use the CISD Level to detect trend changes and find optimal entry and exit points. This concept is similar to ChoCh and MSS but stands out with its focus on confirming trend changes through liquidity and specific patterns. With the right approach, CISD helps traders capitalize on market movements more effectively.
Pine Script®指標
由TFlab提供
7
MTF Williams Vix Market Bottoms [CryptoSea]MTF Williams Vix Fix Indicator is a dynamic tool tailored for traders looking to capture market extremes with high precision. This multi-timeframe indicator leverages the concept of the Williams Vix Fix to spot potential reversals before they occur. Key Features Multi-Timeframe Analysis: Provides simultaneous visibility across multiple timeframes, enabling traders to assess market conditions comprehensively from a single chart. Advanced Volatility Detection: Utilizes a modified Vix Fix formula to highlight extreme price deviations, which often precede significant market reversals. Customizable Settings: Offers extensive input options to tweak the lookback periods, percentile thresholds, and visibility settings, aligning with various trading strategies. Visual Band Indicators: Features upper bands and range highs that signal potential overbought and oversold conditions, enhancing trading decision-making. Below, you can see how the indicator performs across different timeframes, providing valuable insights into market behavior. How it Works Vix Fix Calculation: Determines the worst-case 'panic' sell-offs in price as a percentage of the high, capturing the emotional extremes of the market. Statistical Bands: Employs Bollinger bands over the Vix Fix values to define normal and extreme volatility conditions. Color-Coded Indicators: Uses color differentiation to instantly highlight when readings surpass critical upper band or range high thresholds, signaling key trading opportunities. For instance, in the analysis provided below, notice how the indicator flags significant market moves, allowing traders to anticipate potential entry or exit points. Application Risk Management: Aids in identifying extreme market conditions where prices may revert, helping in effective position sizing and risk management. Strategic Planning: Enhances strategic trading plans by identifying not only when but also where market extremes may occur, considering multiple timeframes. Customization: Adapts seamlessly to different market environments with adjustable settings for volatility thresholds and visual display preferences. The MTF Williams Vix Fix Indicator by is an essential tool for traders aiming to leverage market volatility for optimal entry and exit, ensuring they are well-equipped to handle market extremes with confidence.
Pine Script®指標
由CryptoSeaTV提供
1
Gaussian Fisher Transform Price Reversals - FTRHello Traders ! Looking for better trading results ? "This indicator shows you how to identify price reversals in a timely manner." John F. Ehlers Introduction : The Gaussian Fisher Transform Price Reversals indicator, dubbed FTR for short, is a stat based price reversal detection indicator inspired by and based on the work of the electrical engineer now private trader John F. Ehlers. The Fisher Transform : It is a common assumption that prices have a gaussian / normal probability density function(PDF), i.e. a sample of n close prices would be normally distributed if the probability of observing a price value say at any given standard deviation range is equal to that probability in the case of the normal distribution, e.g. 68% off all samples fell within one standard deviation around the mean, which is what we would expect if the data was normal. However Price Action is not normally distributed and thus can not be conventionally interpreted in this way, Formally the Fisher Transform, transforms the distribution of bounded ranging price action (were price action takes values in a range from -1 to 1) into that of a normal distribution, alternatively it may be said the Fisher Transform changes the PDF of any waveform so that the transformed output has n approximately Gaussian PDF, It does so through the following equations. taken directly from the work of John F. Ehlers - Using The Fisher Transform By substituting price data in the above formulas, bounded ranging price actions (over a given user defined period lookback - this determines the range price ranges in, see the Intermediate formula above) distribution is transformed to that in the normal case. This means when the input, the Intermediate ,(the Midpoint - see formula above) approaches either limit within the range the outputs are greatly amplified, this amplification accentuates /puts more weight on the larger deviations or limits within the range, conversely when price action is varying round the mean of the range the output is approximately equal to unity (the input is approximately equal to the input, the intermediate) The inputs (Intermediates) are converted to normal outputs and the nonlinear Transfer of the Fisher Transform with varying senesitivity's (gammas) can be seen in the graph / image above. Although sensitivity adjustments are not currently available in this script (I forgot to add it) the outputs may be greatly amplified as gamma (the coefficient of the Fisher Transformation - see Fish equation) approaches 1. the purple line show this graphically, as a higher gamma leads to a greater amplification than in the standard case (the red line which is the standard fisher transformation, the black plot is the Fish with a gamma of 1, which is unity sensativity) Reversal plots and Breakouts : - Support lines are plotted with their corresponding Fish value when there is a crossover of the Fish and Fish SMA <= a given standard deviation of Fish - Resistance lines are plotted with their corresponding Fish value when there is a crossunder of the Fish and Fish SMA >= a given standard deviation of Fish - Reversals are these support and resistance line plots Breakouts and Volume bars : Breakouts cause the reversal lines to break (when the high/low is above the resistance/support), Breakouts are more "high quality" when they occur conditional on high volume, the highlighted bars represent volume standard deviations ranging from -3 to 3. When breakouts occure on high volume this may be a sign of the continutaion of the trend (reversals would signify the start of a new trend). Hope you enjoy, Happy Trading ! (be sure to rocket the script if you liked it, this helps me know which of my scripts are the most useful)
Pine Script®指標
由Amjad_S提供
14
Rainbow Collection - BlueSlopes are an increasingly key concept in Technical Analysis. The most basic type is to calculate them on the prices, but also on technical indicators such as moving averages and the RSI. In technical analysis, you generally use the RSI to detect imminent reversal moves within a range. In the case of the Blue indicator, we are calculating the slope of the market price and then calculating the RSI of that slope in order to detect instances of reversal. The Blue indicator is therefore used as follows: * A bullish signal is generated whenever the 21-period RSI of the 21-period market slope surpasses 30 after having been below it but remains below 35. *A bearish signal is generated whenever the 21-period RSI of the 21-period market slope breaks 70 after having been above it but remains above 65. The aim of the Blue indicator is to capture reversals as early as possible through a combination of slopes and entry techniques.
Pine Script®指標
由Sofien-Kaabar提供
2
Jurik-Filtered, Adaptive Laguerre PPO [Loxx]Jurik-Filtered, Adaptive Laguerre PPO is an indicator used to find reversals. Smoothing with a Jurik Filter reduces noise and better identifies reversal points. What is Laguerre Filter? The Adaptive Laguerre is based on the Laguerre filter, described by John Ehlers in his paper “Time Warp – Without Space Travel”. It applies a variable gamma factor, based on how well the filter is tracking previous price movement. As with other adaptive moving averages, the Adaptive Laguerre tracks trending markets closely but will see less changes in range-bound markets. The Adaptive Laguerre filter allows for an adjustment of the simple Laguerre filter. When price moves away from the filter, it becomes faster. When price moves sideward, the filter gets slower. Accordingly, this indicator belongs to the same class of moving average as the Kaufman Adaptive Moving Average (KAMA). It similar to the Volatility Index Dynamic Average (VIDYA) developed by Tushar Chande. The Adaptive Laguerre filter is smoother than the VIDYA and will adjust slower to price action after consolidations. What is Jurik Volty? One of the lesser known qualities of Juirk smoothing is that the Jurik smoothing process is adaptive. "Jurik Volty" (a sort of market volatility ) is what makes Jurik smoothing adaptive. The Jurik Volty calculation can be used as both a standalone indicator and to smooth other indicators that you wish to make adaptive. What is the Jurik Moving Average? Have you noticed how moving averages add some lag (delay) to your signals? ... especially when price gaps up or down in a big move, and you are waiting for your moving average to catch up? Wait no more! JMA eliminates this problem forever and gives you the best of both worlds: low lag and smooth lines. Ideally, you would like a filtered signal to be both smooth and lag-free. Lag causes delays in your trades, and increasing lag in your indicators typically result in lower profits. In other words, late comers get what's left on the table after the feast has already begun. Included: -Toggle on/off bar coloring
Pine Script®指標
由loxx提供
Cross UO v1This is my first script. I use 2x UO's as a tool to identify the stability and overall condition of a trend. The UO colored blue is more reactive to price change (candles) than red one, because it takes into account less candles. The difference in rates of change is a mass mental condition of a market. The combo might predict the reversals too. How to read a chart using it? We'd know the uptrend is stable when Blue UO fluctuates OVER Red UO. As blue UO reaches red band - it's time for reversal. To confirm the reversal of an uptrend - Blue UO must cross below Red UO. During downtrend, the blue and red UOs are reaching green band which would indicate that market is oversold. Once Blue UO touches green band and crosses above red UO - it's time for downtrend to reverse it's direction.
Pine Script®指標
由fract提供
3
9 EMA 75% HA Crossover + EMA ReversalThis script identifies potential trend reversal points using Heikin-Ashi candles and the 9-period Exponential Moving Average (EMA). A signal is generated only when: The 9 EMA reverses direction after a consistent trend (up or down). The EMA crosses into at least 75% of the Heikin-Ashi candle body. The highlighted candle must align with the reversal: Green candle for bullish reversal Red candle for bearish reversal This setup helps filter out weak signals by combining price structure, trend behavior, and candle color confirmation.
Pine Script®指標
由tomsantonyv提供
Gap Reversal Signal with Indicators🔍 Gap Reversal Signal with Indicators — 結合 KD、MACD、SAR 與背離分析的多功能指標 🔍 Gap Reversal Signal with Indicators — A Multi-Tool Signal Indicator Combining KD, MACD, SAR, and Divergence Analysis 中文說明： 本指標結合多種常用技術分析工具，包括 KD 隨機指標、MACD 動能交叉、SAR 趨勢方向、以及 MACD 背離偵測，用以辨識潛在的價格反轉區域。適用於日內交易與波段操作，支援各類市場，如加密貨幣、股票與外匯等。 English Description: This indicator combines several popular technical tools: Stochastic KD, MACD momentum crossovers, SAR trend direction, and MACD divergence detection. It helps traders identify potential reversal areas and is ideal for both intraday and swing trading. Works well on crypto, stocks, and forex markets. 🧠 功能特點 | Key Features ✅ KD指標（慢速隨機指標）檢測超買超賣並提供%K與%D交叉訊號 ✅ Stochastic KD (slow) to detect overbought/oversold zones and crossover signals ✅ MACD金叉/死叉與零軸突破捕捉趨勢轉變與動能反轉 ✅ MACD Crossovers + Zero-Line Breaks to capture trend changes and momentum reversals ✅ SAR指標即時顯示多空方向 ✅ Parabolic SAR for real-time trend direction indication ✅ MACD背離偵測協助辨識潛在反轉區域 ✅ MACD Divergence Detection for identifying hidden trend reversals ✅ 圖形提示與標籤提示可視化呈現各類訊號 ✅ Visual Alerts and Labels for easy and quick signal recognition 📈 支援市場 | Supported Markets 📊 台股 / 美股 / 外匯 / 加密貨幣 📊 Taiwan Stocks / US Stocks / Forex / Cryptocurrencies (e.g. BTC, ETH) 🔧 推薦用法 | Recommended Use 搭配缺口策略與支撐壓力位使用 Use with gap-trading strategies and support/resistance zones 用於盤整末期或趨勢反轉的提示 Helpful for end-of-consolidation signals or trend reversals 支援短線與波段交易風格 Suitable for scalping and swing trading styles 💡 把這個指標加入你的圖表，立即體驗多重技術分析所帶來的交易優勢！ 💡 Add this indicator to your chart now and experience the power of multi-tool technical analysis!
Pine Script®指標
由lincheng_SFC提供