Şimdi başlat

Komut dosyalarını "bear" için ara

Multi Timeframe ADX and DI w/ AlertsThis script is based off the public DMI code and used to get a quick visual of trend and direction across 3 different timeframes. Alert conditions have been setup for trend changes to bull/bear for all 3 timeframes. This script is meant to pull together the concepts of multi-time frame indicators, custom functions, and custom alert conditions. The primary instructions for this script was to find a version of the ADX Indicator and give it the same treatment as we did with the Heiken Ashi demo (displaying green/red/gray circles to indicate trend and direction) over a configurable time frame. Display a matrix of each timeframe and the corresponding directional color (green=bull, red=bear, gray=non-trending). Have it produce an alert when the state of indicator changes to either bull or bear.
Pine Script® göstergesi
JoshuaMcGowan tarafından
5
Elder impulse system with double exponential moving average dema This version of impulse uses the double exponential moving average instead of the typical ema both to calculate macd and the moving slow and fast moving average that are plotted. The impulse system : The Impulse System combines two simple but powerful indicators. One measures market inertia, the other its momentum. When both point in the same direction, they identify an impulse worth following. We get an entry signal when both indicators get in gear. The Impulse System uses an exponential moving average to find uptrends and downtrends. When the EMA rises, it shows that inertia favors the bulls. When EMA falls, inertia works for the bears. The sec- ond component is MACD-Histogram, an oscillator whose slope reflects changes of power among bulls or bears. When MACD-Histogram rises, it shows that bulls are becoming stronger. When it falls, it shows that bears are growing stronger. The Impulse System flags those bars where both the inertia and the momentum point in the same direction. When both the EMA and MACD-Histogram rise, they show that bulls are roaring and the uptrend is accelerating.
Pine Script® göstergesi
Biticon tarafından
2
MACD Zero lag impulse systemThis version of impulse uses the double exponential moving average instead of the typical ema. The impulse system : The Impulse System combines two simple but powerful indicators. One measures market inertia, the other its momentum. When both point in the same direction, they identify an impulse worth following. We get an entry signal when both indicators get in gear. The Impulse System uses an exponential moving average to find uptrends and downtrends. When the EMA rises, it shows that inertia favors the bulls. When EMA falls, inertia works for the bears. The sec- ond component is MACD-Histogram, an oscillator whose slope reflects changes of power among bulls or bears. When MACD-Histogram rises, it shows that bulls are becoming stronger. When it falls, it shows that bears are growing stronger. The Impulse System flags those bars where both the inertia and the momentum point in the same direction. When both the EMA and MACD-Histogram rise, they show that bulls are roaring and the uptrend is accelerating.
Pine Script® göstergesi
Biticon tarafından
6
Elder impulse system with barcolor + Safezone stops + emasThe impulse system : The Impulse System combines two simple but powerful indicators. One measures market inertia, the other its momentum. When both point in the same direction, they identify an impulse worth following. We get an entry signal when both indicators get in gear. The Impulse System uses an exponential moving average to find uptrends and downtrends. When the EMA rises, it shows that inertia favors the bulls. When EMA falls, inertia works for the bears. The sec- ond component is MACD-Histogram, an oscillator whose slope reflects changes of power among bulls or bears. When MACD-Histogram rises, it shows that bulls are becoming stronger. When it falls, it shows that bears are growing stronger. The Impulse System flags those bars where both the inertia and the momentum point in the same direction. When both the EMA and MACD-Histogram rise, they show that bulls are roaring and the uptrend is accelerating. The SafeZone Stop : Once in a trade, where should you put your stop? This is one of the hardest questions in technical analysis. After answering it, you’ll face an even harder one—when and where to move that stop with the pas- sage of time. Put a stop too close and it’ll get whacked by some mean- ingless intraday swing. Put it too far, and you’ll have very skimpy protection. The Parabolic System, described in Trading for a Living, tried to tackle this problem by moving stops closer to the market each day, accelerating whenever a stock or a commodity reached a new extreme. The trouble with Parabolic was that it kept moving even if the market stayed flat and often got hit by meaningless noise. SafeZone trails prices with stops tight enough to protect capital but remote enough to keep clear of most random fluctuations. Engineers design filters to suppress noise and allow the signal to come through. If the trend is the signal, then the countertrend motion is the noise. When the trend is up, we can define noise as that part of each day’s range that protrudes below the previous day’s low. When the trend is down, we can define noise as that part of each day’s range that pro- trudes above the previous day’s high. SafeZone measures market noise and places stops at a multiple of noise level away from the market. We can make our lookback period 100 days or so if we want to aver- age long-term market behavior. SafeZone offers an original approach to placing stops. It monitors changes in prices and adapts stops to the current levels of activity. It places stops at individually tailored distances rather than at obvious support and resistance levels.
Pine Script® göstergesi
Biticon tarafından
3
10/5 Weekly/Daily EMAs with ConfirmationsPlots Daily and Weekly 10 & 5 EMAs (but fully customizable to your own). In addition to plotting the EMAs it color coordinates trend bias and has cross confirmation signals. Philosophy and how to read: I use this indicator when trading strictly on the daily timeframe. I have not tested it on other timeframes. In my trade system I start with both the monthly and weekly charts to define overall bias. Here’s the general rule of thumb. 10 EMA is direction (bias) and 5 EMA is price. If 5EMA is below 10EMA there is a bear bias. If 5EMA is above 10EMA there is a bull bias. This indicator will plot both the daily and weekly 10 & 5 EMAs. It will also color code the background based on how these EMAs relate to each other. Light red typically is just the daily is confirmed bear (typically because it could be either or) Dark red, both daily and weekly in confirmed bear. Light green, typically just daily is confirmed bull (typically because it could be either or) Dark green, both daily and weekly in confirmed bull. In addition to background highlight there is confirmation crosses. The daily confirmation cross is default yellow triangle. Down triangle is 5 crossing the 10 downward. Up triangle is the 5 crossing the 10 upward. The weekly confirmation is the same only is aqua color. Generally, on a color change you want to see one or both confirmation in the direction of the bias change. If you only want to plot the daily bias in the options unclick the setting: Include Weekly Background Plotting. Unclicking this will remove the background coloring for the weekly bias. This might be helpful if you only want to see the strength of what the weekly timeframe is telling you. Also, I’m primarily a trend trader but I also do have a reversal system I trade with lower R:R parameters. A good reversal confirmation signal I’ve noticed is the instrument that you are trading should go through a cycle of light color to dark color. You could also create alerts with this indicator based on just signals. When the signal fires the value will be 1. Future Updates: I want to find some way to correlate the distance between these EMAs to enhance the signal. Also to include a velocity component. Plus a few more things. If you like this indicator please like and leave a comment down below.
Pine Script® göstergesi
RexDogActual tarafından
1
MWho is in ControlWho is in Control. This study shows who is in control by showing just the Bull side, the Bear side or a combined view. This study follows the same philosophy of simplicity I try to use as much as possible in my studies. The least number of parameters and as understandable as possible. Len : length of the period Signal : Signal to show change of trend Disp Bull : Display/Hide Bull Side Disp Bear : Display/Hide Bear Side Disp Differential : Display/Hide the differential between Bulls and Bears.
Pine Script® göstergesi
Madrid tarafından
7
: Volume Zone Oscillator & Price Zone Oscillator LB Update JRMThis is a simple update of Lazy Bear's " Indicators: Volume Zone Indicator & Price Zone Indicator" Script. PZO plots on the same indicator. The horizontal plot lines are taken primarily from two articles by Wahalil and Steckler "In The Volume Zone" May 2011, Stocks and Commodities and "Entering The Price Zone"June 2011, Stocks and Commodities. With both indicators on the same plot it is easier to see divergences between the indicators. I did add a plot line at 80 and -80 as well because that is getting into truly extreme price/volume territory where one might contemplate a close your eyes and sell or cover particularly if confirmed at a higher time frame with the expectation of some type of corrective move.. The inputs and plot lines can be edited as per Lazy Bear's original script and follows the original format. Many thanks to Lazy Bear.
Pine Script® göstergesi
jayy tarafından
4
ITM 2x15// © 2025 Intraday Trading Machine // This script is open-source. You may use and modify it, but please give credit. // Colors the current 15-minute candle body green or red if the two previous candles were both bullish or bearish. This script is designed for traders using the Scalping Intraday Trading Machine technique. It highlights when two consecutive 15-minute candles close in the same direction — either both bullish or both bearish. For example, if you see two consecutive bearish candles, you might look for a long entry on a break above the high of the first bearish candle. This tool helps you visually identify these setups with clean, directional candle coloring — no clutter.
Pine Script® göstergesi
Lord-Of-Ticks tarafından
Enhanced Ichimoku Cloud Strategy V1 [Quant Trading]Overview This strategy combines the powerful Ichimoku Kinko Hyo system with a 171-period Exponential Moving Average (EMA) filter to create a robust trend-following approach. The strategy is designed for traders seeking to capitalize on strong momentum moves while using the Ichimoku cloud structure to identify optimal entry and exit points. This is a patient, low-frequency trading system that prioritizes quality over quantity. In backtesting on Solana, the strategy achieved impressive results with approximately 3600% profit over just 29 trades, demonstrating its effectiveness at capturing major trend movements rather than attempting to profit from every market fluctuation. The extended parameters and strict entry criteria are specifically optimized for Solana's price action characteristics, making it well-suited for traders who prefer fewer, higher-conviction positions over high-frequency trading approaches. What Makes This Strategy Original This implementation enhances the traditional Ichimoku system by: Custom Ichimoku Parameters: Uses non-standard periods (Conversion: 7, Base: 211, Lagging Span 2: 120, Displacement: 41) optimized for different market conditions EMA Confirmation Filter: Incorporates a 171-period EMA as an additional trend confirmation layer State Memory System: Implements a sophisticated memory system to track buy/sell states and prevent false signals Dual Trade Modes: Offers both traditional Ichimoku signals ("Ichi") and cloud-based signals ("Cloud") Breakout Confirmation: Requires price to break above the 25-period high for long entries How It Works Core Components Ichimoku Elements: -Conversion Line (Tenkan-sen): 7-period Donchian midpoint -Base Line (Kijun-sen): 211-period Donchian midpoint -Span A (Senkou Span A): Average of Conversion and Base lines, plotted 41 periods ahead -Span B (Senkou Span B): 120-period Donchian midpoint, plotted 41 periods ahead -Lagging Span (Chikou Span): Current close plotted 41 periods back EMA Filter: 171-period EMA acts as a long-term trend filter Entry Logic (Ichi Mode - Default) A long position is triggered when ALL conditions are met: Cloud Bullish: Span A > Span B (41 periods ago) Breakout Confirmation: Current close > 25-period high Ichimoku Bullish: Conversion Line > Base Line Trend Alignment: Current close > 171-period EMA State Memory: No previous buy signal is still active Exit Logic Positions are closed when: Ichimoku Bearish: Conversion Line < Base Line Alternative Cloud Mode When "Cloud" mode is selected, the strategy uses: Entry: Span A crosses above Span B with additional cloud and EMA confirmations Exit: Span A crosses below Span B with cloud and EMA confirmations Default Settings Explained Strategy Properties Initial Capital: $1,000 (realistic for average traders) Position Size: 100% of equity (appropriate for backtesting single-asset strategies) Commission: 0.1% (realistic for most brokers) Slippage: 3 ticks (accounts for realistic execution costs) Date Range: January 1, 2018 to December 31, 2069 Key Parameters Conversion Periods: 7 (faster than traditional 9, more responsive to price changes) Base Periods: 211 (much longer than traditional 26, provides stronger trend confirmation) Lagging Span 2 Periods: 120 (custom period for stronger support/resistance levels) Displacement: 41 (projects cloud further into future than standard 26) EMA Period: 171 (long-term trend filter, approximately 8.5 months of daily data) How to Use This Strategy Best Market Conditions Trending Markets: Works best in clearly trending markets where the cloud provides strong directional bias Medium to Long-term Timeframes: Optimized for daily charts and higher timeframes Volatile Assets: The breakout confirmation helps filter out weak signals in choppy markets Risk Management The strategy uses 100% equity allocation, suitable for backtesting single strategies Consider reducing position size when implementing with real capital Monitor the 25-period high breakout requirement as it may delay entries in fast-moving markets Visual Elements Green/Red Cloud: Shows bullish/bearish cloud conditions Yellow Line: Conversion Line (Tenkan-sen) Blue Line: Base Line (Kijun-sen) Orange Line: 171-period EMA trend filter Gray Line: Lagging Span (Chikou Span) Important Considerations Limitations Lagging Nature: Like all Ichimoku strategies, signals may lag significant price moves Whipsaw Risk: Extended periods of consolidation may generate false signals Parameter Sensitivity: Custom parameters may not work equally well across all market conditions Backtesting Notes Results are based on historical data and past performance does not guarantee future results The strategy includes realistic slippage and commission costs Default settings are optimized for backtesting and may need adjustment for live trading Risk Disclaimer This strategy is for educational purposes only and should not be considered financial advice. Always conduct your own analysis and risk management before implementing any trading strategy. The unique parameter combinations used may not be suitable for all market conditions or trading styles. Customization Options Trade Mode: Switch between "Ichi" and "Cloud" signal generation Short Trading: Option to enable short positions (disabled by default) Date Range: Customize backtesting period All Ichimoku Parameters: Fully customizable for different market conditions This enhanced Ichimoku implementation provides a structured approach to trend following while maintaining the flexibility to adapt to different trading styles and market conditions.
Pine Script® stratejisi
Quant_Trading_Pro tarafından
EMA Trend Dashboard Trend Indicator using 3 custom EMA lines. Displays a table with 5 rows(position configurable) -First line shows relative position of EMA lines to each other and outputs Bull, Weak Bull, Flat, Weak Bear, or Bear. EMA line1 should be less than EMA line2 and EMA line 2 should be less than EMA line3. Default is 9,21,50. -Second through fourth line shows the slant of each EMA line. Up, Down, or Flat. Threshold for what is considered a slant is configurable. Also added a "steep" threshold configuration for steep slants. -Fifth line shows exhaustion and is a simple, configurable calculation of the distance between EMA line1 and EMA line2. --Lines one and five change depending on its value but ALL other colors are able to be changed. --Default is somewhat set to work well with Micro E-mini Futures but this indicator can be changed to work on anything. I created it to help get a quick overview of short-term trend on futures. I used ChatGPT to help but I am still not sure if it actually took longer because of it.
Pine Script® göstergesi
NoMorePaperTrading tarafından
1
Gabriel's Andean Oscillator📈 Gabriel's Andean Oscillator — Enhanced Trend-Momentum Hybrid Gabriel's Andean Oscillator is a sophisticated trend-momentum indicator inspired by Alex Grover’s original Andean Oscillator concept. This enhanced version integrates multiple envelope types, smoothing options, and the ability to track volatility from both open/close and high/low dynamics—making it more responsive, adaptable, and visually intuitive. 🔍 What It Does This oscillator measures bullish and bearish "energy" by calculating variance envelopes around price. Instead of traditional momentum formulas, it builds two exponential variance envelopes—one capturing the downside (bullish potential) and the other capturing the upside (bearish pressure). The result is a smoothed oscillator that reflects internal market tension and potential breakouts. ⚙️ Key Features 📐 Envelope Types: Choose between: "Regular" – Uses single EMA-based smoothing on open/close variance. Ideal for shorter timeframes. "Double Smoothed" – Adds an extra layer of smoothing for noise reduction. Ideal for longer timeframes. 📊 Bullish & Bearish Components: Bull = Measures potential upside using price lows (or open/close). Bear = Measures downside pressure using highs (or open/close). These can optionally be derived from high/low or open/close for flexible interpretation. 📏 Signal Line: A customizable EMA of the dominant component to confirm momentum direction. 📉 Break Zone Area Plot: An optional filled area showing when bull > bear or vice versa, useful for detecting expansion/contraction phases. 🟢 High/Low Overlay Option (Use Highs and Lows?): Visualize secondary components derived from high/low prices to compare against the open/close dynamics and highlight volatility asymmetry. 🧠 How to Use It Trend Confirmation: When bull > bear and rising above signal → bullish bias. When bear > bull and rising above signal → bearish bias. Breakout Potential: Watch the Break area plot (√(bull - bear)) for rapid expansion, signaling volatility bursts or directional moves. High/Low Envelope Divergence: Enabling the high/low comparison reveals hidden strength or weakness not visible in open/close alone. 🛠 Customizable Inputs Envelope Type: Regular vs. Double Smoothed EMA Envelope Lengths: For both regular and smoothed logic Signal Length: Controls EMA smoothing for the signal Use Highs and Lows?: Toggles second set of envelopes; the original doesn't include highs and lows. Plot Breaks: Enables the filled “break” zone area, the squared difference between Open and Close. 🧪 Based On: Andean Oscillator - Alpaca Markets Licensed under CC BY-NC-SA 4.0 Developed by Gabriel, based on the work of Alex Grover
Pine Script® göstergesi
GabrielAmadeusLau tarafından
SDR Dashboard v3.1: 结构距离与节奏SDR Dashboard v3.1: User Guide & Trading Strategy 1. Introduction The SDR Dashboard is a comprehensive technical indicator designed to identify high-probability trend-following trade opportunities. It is built on the core principle of "buying the dip in an uptrend" and "selling the rally in a downtrend." To achieve this, the indicator combines three key elements of market analysis: Rhythm (The Long-Term Trend): Determines the overall market direction. Distance (The Pullback Location): Identifies when the price has pulled back to an area of potential value. Momentum (The Entry Trigger): Provides the final confirmation to enter a trade. A signal is only generated when all three conditions align, providing a clear and disciplined approach to trading. 2. Core Components Explained The indicator's logic is visualized through the background color and the oscillator at the bottom of the chart. Rhythm: The Background Color The background color is determined by the 200-period Exponential Moving Average (EMA), which defines the long-term trend. 🟦 Blue Background: The price is above the 200 EMA. The market is in an uptrend. You should ONLY look for BUY signals. 🟥 Red Background: The price is below the 200 EMA. The market is in a downtrend. You should ONLY look for SELL signals. ⬜ Gray Background: The price is hovering around the 200 EMA. The trend is unclear or the market is in a consolidation phase. You should STAY OUT and wait for a clear trend to establish. Distance: The Oscillator & Zones The multi-colored line at the bottom is the "Distance Oscillator." It measures how overbought or oversold the price is relative to its recent range (defaulting to the last 50 bars). Overbought Zone (Red Area > +80): In a downtrend, this indicates the price has rallied to a potential resistance level and may be due for a turn back down. Oversold Zone (Green Area < -80): In an uptrend, this indicates the price has dipped to a potential support level and may be due for a turn back up. Momentum: The Stochastic Cross (The Hidden Trigger) This indicator uses a standard Stochastic Oscillator in the background (not plotted to keep the chart clean) as the final entry trigger. A bullish crossover (K-line crossing above D-line) confirms that downside momentum is fading and buying pressure is returning. A bearish crossunder (K-line crossing below D-line) confirms that upside momentum is fading and selling pressure is returning. 3. How to Use: Trading Rules BUY Signal (Long Entry) Look for a green "▲" arrow below a candle. This signal appears ONLY when the following three conditions are met in order: Rhythm is Bullish: The chart background must be BLUE. Distance is Oversold: The Distance Oscillator must have recently dipped into the green "Support Zone" (below -80) within the last 3 bars. This shows a pullback has occurred. Momentum Confirms: The Stochastic Oscillator has just executed a bullish crossover. This is the trigger. Strategy: In a clear uptrend (blue background), wait for a price dip into the support area. Enter when the green arrow appears, confirming the dip is likely over and the uptrend is resuming. SELL Signal (Short Entry) Look for a red "▼" arrow above a candle. This signal appears ONLY when the following three conditions are met in order: Rhythm is Bearish: The chart background must be RED. Distance is Overbought: The Distance Oscillator must have recently pushed into the red "Resistance Zone" (above +80) within the last 3 bars. This shows a rally has occurred. Momentum Confirms: The Stochastic Oscillator has just executed a bearish crossunder. This is the trigger. Strategy: In a clear downtrend (red background), wait for a price rally into the resistance area. Enter when the red arrow appears, confirming the rally is likely over and the downtrend is resuming. 4. Best Practices & Risk Management No Indicator is Perfect: This tool provides high-probability setups, not guaranteed wins. Always use proper risk management, including setting a stop-loss for every trade. Context is Key: The indicator works best in trending markets. Be cautious during periods of low volatility or sideways chop (gray background). Parameter Tuning: The default settings are a balanced starting point. Feel free to experiment with the lookback periods and thresholds in the indicator's settings to optimize for different assets and timeframes.
Pine Script® göstergesi
gogptssss tarafından
IDKFAIDKFA - Advanced Order Blocks & Volume Profile with Market Structure Analysis Why IDKFA? Named after the legendary DOOM cheat code that gives players "all weapons and full ammo," IDKFA provides traders with a comprehensive arsenal of market analysis tools. Just as the cheat code arms players with everything needed for combat, this indicator equips traders with essential market structure tools: Order Blocks, Volume Profile, LVN/HVN areas, Fibonacci retracements, and intelligent buy/sell signals - all in one unified system. Core Features Order Blocks Detection Automatically identifies institutional order blocks using pivot high/low analysis Extends blocks dynamically until price interaction occurs Bullish blocks (demand zones) and bearish blocks (supply zones) Customizable opacity and extend functionality Advanced Volume Profile Real-time volume profile calculation for multiple session types Point of Control (POC), Value Area High (VAH), and Value Area Low (VAL) Mode 1: Side-by-side bull/bear volume display Mode 2: Overlapped volume display with percentage analysis Shows buying vs selling pressure at each price level LVN/HVN Area Detection Low Volume Nodes (LVN): Areas below VAL where price moves quickly High Volume Nodes (HVN): Areas above VAH with strong resistance NPOC (Naked Point of Control): Single print areas within Value Area Volume-based gradient coloring shows relative activity levels Smart Fibonacci Retracements Auto-detects trend direction for proper fibonacci orientation Dynamic color coding: Red levels in uptrends, Gold in downtrends Special 88.6% level turns lime green in downtrends Key levels: 23.6%, 38.2%, 50%, 61.8%, 65%, 78.6%, 88.6% Intelligent Signal System Works best on higher timeframes Identifies high-probability reversal setups at key levels Buy signals: Large bearish rejection followed by bullish reclaim Sell signals: Large bullish rejection followed by bearish breakdown Signals only trigger near significant support/resistance areas Signal Analysis & Usage Guidelines Buy Signal Mechanics The buy signal triggers when: Previous candle shows significant bearish movement (minimum ATR multiplier) Current candle reclaims a configurable percentage of the previous candle's range Price is near a key support level (order blocks, fibonacci, volume levels) Sell Signal Mechanics The sell signal triggers when: Previous candle shows significant bullish movement (minimum ATR multiplier) Current candle rejects below a configurable percentage of the previous candle's range Price is near a key resistance level (order blocks, fibonacci, volume levels) When to TAKE Signals High Probability Buy Signals: Signal appears AT or BELOW the VAL (Value Area Low) Signal occurs at bullish order block confluence Price is in LVN area below VAL (momentum acceleration zone) Signal aligns with fibonacci 61.8% or 78.6% support Multiple session POC levels provide support confluence Previous session's VAL acting as current support High Probability Sell Signals: Signal appears AT or ABOVE the VAH (Value Area High) Signal occurs at bearish order block confluence Price is in HVN area above VAH (heavy resistance zone) Signal aligns with fibonacci 61.8% or 78.6% resistance Multiple session POC levels provide resistance confluence Previous session's VAH acting as current resistance When to AVOID Signals Avoid Buy Signals When: Signal appears ABOVE the VAH (buying into resistance) Price is in HVN red zones (high volume resistance areas) No clear support structure below current price Volume profile shows heavy selling pressure (high bear percentages) Signal occurs during low-volume periods between major sessions Multiple bearish order blocks exist below current price Avoid Sell Signals When: Signal appears BELOW the VAL (selling into support) Price is in LVN green zones (momentum could continue) No clear resistance structure above current price Volume profile shows heavy buying pressure (high bull percentages) Signal occurs during Asian session ranges without clear direction Multiple bullish order blocks exist above current price Volume Profile Context for Signals Understanding Bull/Bear Percentages: 70%+ Bull dominance at a level = Strong support expected 70%+ Bear dominance at a level = Strong resistance expected 50/50 Split = Neutral zone, less predictable Use percentages to gauge conviction behind moves POC (Point of Control) Interactions: Signals above POC in uptrend = Higher probability Signals below POC in downtrend = Higher probability Signals against POC bias require extra confirmation POC often acts as magnetic level for price return Trading Strategies Strategy 1: VAL/VAH Bounce Strategy Wait for price to approach VAL (support) or VAH (resistance) Look for signal confirmation at these critical levels Enter with tight stops beyond the Value Area Target opposite boundary or next session's levels Strategy 2: Order Block + Volume Confluence Identify order block alignment with VAL/VAH Wait for signal within the confluence zone Enter on signal with stop beyond order block Use LVN areas as acceleration zones for targets Strategy 3: LVN/HVN Strategy LVN (Green) Areas: "Go Zones" - expect quick price movement through low volume HVN (Red) Areas: "Stop Zones" - expect resistance and potential reversals NPOC Areas: "Fill Zones" - price often returns to fill single print gaps Strategy 4: Multi-Session Analysis Use Daily/Weekly for major structure context Use 4H for intermediate levels Use 1H for precise entry timing Ensure all timeframes align before taking signals Strategy 5: Fibonacci + Volume Profile Buy signals at 61.8% or 78.6% fibonacci near VAL Sell signals at 61.8% or 78.6% fibonacci near VAH Use 88.6% level as final support/resistance before major moves 50% level often aligns with POC for confluence Signal Quality Assessment Grade A Signals (Highest Probability): Signal at VAL/VAH with order block confluence Fibonacci level alignment (61.8%, 78.6%) Volume profile shows 70%+ dominance in signal direction Multiple timeframe structure alignment Signal occurs during high-volume sessions (London/NY) Grade B Signals (Moderate Probability): Signal near POC with some confluence Fibonacci 50% or 38.2% alignment Mixed volume profile readings (50-70% dominance) Some timeframe alignment present Signal during overlap sessions Grade C Signals (Lower Probability): Signal with minimal confluence Weak fibonacci alignment or none Volume profile neutral or against signal Conflicting timeframe signals Signal during low-volume periods Risk Management Guidelines Position Sizing Based on Signal Quality: Grade A: Standard position size Grade B: Reduced position size (50-75%) Grade C: Minimal position size (25%) or skip entirely Stop Loss Placement: Beyond order block boundaries Outside Value Area (VAL/VAH) Below/above fibonacci confluence levels Account for session volatility ranges Profit Targets: First target: Opposite VAL/VAH boundary Second target: Next session's key levels Final target: Major order blocks or fibonacci extensions Credits & Attribution Original components derived from: Market Sessions & Volume Profile by © Leviathan (Mozilla Public License 2.0) Volume Profile elements inspired by @LonesomeTheBlue's volume profile script Pivot Order Blocks by TradingWolf / © MensaTrader (Mozilla Public License 2.0) Auto Fibonacci Retracement code (public domain) Significant enhancements and modifications include: Advanced LVN/HVN detection and visualization Bull/Bear percentage analysis for Mode 2/3 Comprehensive alert system with market context Integrated buy/sell signals at key levels Performance optimizations and extended session support Enhanced Mode 2/3 with percentage pressure analysis Important Disclaimers This indicator is a technical analysis tool designed for educational purposes. It does not provide financial advice, investment recommendations, or trading signals that guarantee profits. All trading involves substantial risk of loss, and past performance does not guarantee future results. Users should conduct their own research, understand the risks involved, and consider consulting with qualified financial advisors before making trading decisions. The signals and analysis provided are based on historical price patterns and volume data, which may not predict future market movements accurately. Best Practices Never trade signals blindly - always consider volume profile context Wait for confluence between multiple tools before entering Respect the Value Area - avoid buying above VAH or selling below VAL Use session context - Asian ranges vs London/NY breakouts Practice proper risk management - position size based on signal quality Understand the bigger picture - use multiple timeframes for context Remember: Like the IDKFA cheat code, having all the tools doesn't guarantee success. The key is learning to use them together effectively and understanding when NOT to take a signal is often more important than knowing when to take one.
Pine Script® göstergesi
MessyJess tarafından
4
Uptrick: Fusion Trend Reversion SystemOverview The Uptrick: Fusion Trend Reversion System is a multi-layered indicator designed to identify potential price reversals during intraday movement while keeping traders informed of the dominant short-term trend. It blends a composite fair value model with deviation logic and a refined momentum filter using the Relative Strength Index (RSI). This tool was created with scalpers and short-term traders in mind and is especially effective on lower timeframes such as 1-minute, 5-minute, and 15-minute charts where price dislocations and quick momentum shifts are frequent. Introduction This indicator is built around the fusion of two classic concepts in technical trading: identifying trend direction and spotting potential reversion points. These are often handled separately, but this system merges them into one process. It starts by computing a fair value price using five moving averages, each with its own mathematical structure and strengths. These include the exponential moving average (EMA), which gives more weight to recent data; the simple moving average (SMA), which gives equal weight to all periods; the weighted moving average (WMA), which progressively increases weight with recency; the Arnaud Legoux moving average (ALMA), known for smoothing without lag; and the volume-weighted average price (VWAP), which factors in volume at each price level. All five are averaged into a single value — the raw fusion line. This fusion acts as a dynamically balanced centerline that adapts to price conditions with both smoothing and responsiveness. Two additional exponential moving averages are applied to the raw fusion line. One is slower, giving a stable trend reference, and the other is faster, used to define momentum and cloud behavior. These two lines — the fusion slow and fusion fast — form the backbone of trend and signal logic. Purpose This system is meant for traders who want to trade reversals without losing sight of the underlying directional bias. Many reversal indicators fail because they act too early or signal too frequently in choppy markets. This script filters out noise through two conditions: price deviation and RSI confirmation. Reversion trades are considered only when the price moves a significant distance from fair value and RSI suggests a legitimate shift in momentum. That filtering process gives the trader a cleaner, higher-quality signal and reduces false entries. The indicator also visually supports the trader through colored bars, up/down labels, and a filled cloud between the fast and slow fusion lines. These features make the market context immediately visible: whether the trend is up or down, whether a reversal just occurred, and whether price is currently in a high-risk reversion zone. Originality and Uniqueness What makes this script different from most reversal systems is the way it combines layers of logic — not just to detect signals, but to qualify and structure them. Rather than relying on a single MA or a raw RSI level, it uses a five-MA fusion to create a baseline fair value that incorporates speed, stability, and volume-awareness. On top of that, the system introduces a dual-smoothing mechanism. It doesn’t just smooth price once — it creates two layers: one to follow the general trend and another to track faster deviations. This structure lets the script distinguish between continuation moves and possible turning points more effectively than a single-line or single-metric system. It also uses RSI in a more refined way. Instead of just checking if RSI is overbought or oversold, the script smooths RSI and requires directional confirmation. Beyond that, it includes signal memory. Once a signal is generated, a new one will not appear unless the RSI becomes even more extreme and curls back again. This memory-based gating reduces signal clutter and prevents repetition, a rare feature in similar scripts. Why these indicators were merged Each moving average in the fusion serves a specific role. EMA reacts quickly to recent price changes and is often favored in fast-trading strategies. SMA acts as a long-term filter and smooths erratic behavior. WMA blends responsiveness with smoothing in a more balanced way. ALMA focuses on minimizing lag without losing detail, which is helpful in fast markets. VWAP anchors price to real trade volume, giving a sense of where actual positioning is happening. By combining all five, the script creates a fair value model that doesn’t lean too heavily on one logic type. This fusion is then smoothed into two separate EMAs: one slower (trend layer), one faster (signal layer). The difference between these forms the basis of the trend cloud, which can be toggled on or off visually. RSI is then used to confirm whether price is reversing with enough force to warrant a trade. The RSI is calculated over a 14-period window and smoothed with a 7-period EMA. The reason for smoothing RSI is to cut down on noise and avoid reacting to short, insignificant spikes. A signal is only considered if price is stretched away from the trend line and the smoothed RSI is in a reversal state — below 30 and rising for bullish setups, above 70 and falling for bearish ones. Calculations The script follows this structure: Calculate EMA, SMA, WMA, ALMA, and VWAP using the same base length Average the five values to form the raw fusion line Smooth the raw fusion line with an EMA using sens1 to create the fusion slow line Smooth the raw fusion line with another EMA using sens2 to create the fusion fast line If fusion slow is rising and price is above it, trend is bullish If fusion slow is falling and price is below it, trend is bearish Calculate RSI over 14 periods Smooth RSI using a 7-period EMA Determine deviation as the absolute difference between current price and fusion slow A raw signal is flagged if deviation exceeds the threshold A raw signal is flagged if RSI EMA is under 30 and rising (bullish setup) A raw signal is flagged if RSI EMA is over 70 and falling (bearish setup) A final signal is confirmed for a bullish setup if RSI EMA is lower than the last bullish signal’s RSI A final signal is confirmed for a bearish setup if RSI EMA is higher than the last bearish signal’s RSI Reset the bullish RSI memory if RSI EMA rises above 30 Reset the bearish RSI memory if RSI EMA falls below 70 Store last signal direction and use it for optional bar coloring Draw the trend cloud between fusion fast and fusion slow using fill() Show signal labels only if showSignals is enabled Bar and candle colors reflect either trend slope or last signal direction depending on mode selected How it works Once the script is loaded, it builds a fusion line by averaging five different types of moving averages. That line is smoothed twice into a fast and slow version. These two fusion lines form the structure for identifying trend direction and signal areas. Trend bias is defined by the slope of the slow line. If the slow line is rising and price is above it, the market is considered bullish. If the slow line is falling and price is below it, it’s considered bearish. Meanwhile, the script monitors how far price has moved from that slow line. If price is stretched beyond a certain distance (set by the threshold), and RSI confirms that momentum is reversing, a raw reversion signal is created. But the script only allows that signal to show if RSI has moved further into oversold or overbought territory than it did at the last signal. This blocks repetitive, weak entries. The memory is cleared only if RSI exits the zone — above 30 for bullish, below 70 for bearish. Once a signal is accepted, a label is drawn. If the signal toggle is off, no label will be shown regardless of conditions. Bar colors are controlled separately — you can color them based on trend slope or last signal, depending on your selected mode. Inputs You can adjust the following settings: MA Length: Sets the period for all moving averages used in the fusion. Show Reversion Signals: Turns on the plotting of “Up” and “Down” labels when a reversal is confirmed. Bar Coloring: Enables or disables colored bars based on trend or signal direction. Show Trend Cloud: Fills the space between the fusion fast and slow lines to reflect trend bias. Bar Color Mode: Lets you choose whether bars follow trend logic or last signal direction. Sens 1: Smoothing speed for the slow fusion line — higher values = slower trend. Sens 2: Smoothing speed for the fast line — lower values = faster signal response. Deviation Threshold: Minimum distance price must move from fair value to trigger a signal check. Features This indicator offers: A composite fair value model using five moving average types. Dual smoothing system with user-defined sensitivity. Slope-based trend definition tied to price position. Deviation-triggered signal logic filtered by RSI reversal. RSI memory system that blocks repetitive signals and resets only when RSI exits overbought or oversold zones. Real-time tracking of the last signal’s direction for optional bar coloring. Up/Down labels at signal points, visible only when enabled. Optional trend cloud between fusion layers, visualizing current market bias. Full user control over smoothing, threshold, color modes, and visibility. Conclusion The Fusion Trend-Reversion System is a tool for short-term traders looking to fade price extremes without ignoring trend bias. It calculates fair value using five diverse moving averages, smooths this into two dynamic layers, and applies strict reversal logic based on RSI deviation and momentum strength. Signals are triggered only when price is stretched and momentum confirms it with increasingly strong behavior. This combination makes the tool suitable for scalping, intraday entries, and fast market environments where precision matters. Disclaimer This indicator is for informational and educational purposes only. It does not constitute financial advice. All trading involves risk, and no tool can predict market behavior with certainty. Use proper risk management and do your own research before making trading decisions.
Pine Script® göstergesi
Uptrick tarafından
1
PulseWave + DivergenceOverview PulseWave + Divergence is a momentum oscillator designed to optimize the classic RSI. Unlike traditional RSI, which can produce delayed or noisy signals, PulseWave offers a smoother and faster oscillator line that better responds to changes in market dynamics. By using a formula based on the difference between RSI and its moving average, the indicator generates fewer false signals, making it a suitable tool for day traders and swing traders in stock, forex, and cryptocurrency markets. How It Works Generating the Oscillator Line The PulseWave oscillator line is calculated as follows: RSI is calculated based on the selected data source (default: close price) and RSI length (default: 20 periods). RSI is smoothed using a simple moving average (MA) with a selected length (default: 20 periods). The oscillator value is the difference between the current RSI and its moving average: oscillator = RSI - MA(RSI). This approach ensures high responsiveness to short-term momentum changes while reducing market noise. Unlike other oscillators, such as standard RSI or MACD, which rely on direct price values or more complex formulas, PulseWave focuses on the dynamics of the difference between RSI and its moving average. This allows it to better capture short-term trend changes while minimizing the impact of random price fluctuations. The oscillator line fluctuates around zero, making it easy to identify bullish trends (positive values) and bearish trends (negative values). Divergences The indicator optionally detects bullish and bearish divergences by comparing price extremes (swing highs/lows) with oscillator extremes within a defined pivot window (default: 5 candles left and right). Divergences are marked with "Bull" (bullish) and "Bear" (bearish) labels on the oscillator chart. Signals Depending on the selected signal type, PulseWave generates buy and sell signals based on: Crosses of the overbought and oversold levels. Crosses of the oscillator’s zero line. A combination of both (option "Both"). Signals are displayed as triangles above or below the oscillator, making them easy to identify. Input Parameters RSI Length: Length of the RSI used in calculations (default: 20). RSI MA Length: Length of the RSI moving average (default: 20). Overbought/Oversold Level: Oscillator overbought and oversold levels (default: 12.0 and -12.0). Pivot Length: Number of candles used to detect extremes for divergences (default: 5). Signal Type: Type of signals to display ("Overbought/Oversold", "Zero Line", "Both", or "None"). Colors and Gradients: Full customization of line, gradient, and label colors. How to Use Adjust Parameters: Increase RSI Length (e.g., to 30) for high-volatility markets to reduce noise. Decrease Pivot Length (e.g., to 3) for faster divergence detection on short timeframes. Interpret Signals: Buy Signal: The oscillator crosses above the oversold level or zero line, especially with a bullish divergence. Sell Signal: The oscillator crosses below the overbought level or zero line, especially with a bearish divergence. Combine with Other Tools: Use PulseWave alongside moving averages or support/resistance levels to confirm signals. Monitor Divergences: "Bull" and "Bear" labels indicate potential trend reversals. Set up alerts to receive notifications for divergences.
Pine Script® göstergesi
Uncle_the_shooter tarafından
4
Contrarian 100 MAPairs nicely with Enhanced-Stock-Ticker-with-50MA-vs-200MA located here: Description The Contrarian 100 MA is a sophisticated Pine Script v6 indicator designed for traders seeking to identify key market structure shifts and trend reversals using a combination of a 100-period Simple Moving Average (SMA) envelope and Inner Circle Trader (ICT) Break of Structure (BoS) and Market Structure Shift (MSS) logic. By overlaying a semi-transparent SMA-based shadow on the price chart and plotting bullish and bearish structure signals, this indicator helps traders visualize critical price levels and potential trend changes. It leverages higher timeframe (HTF) pivot points and dynamic logic to adapt to various chart timeframes, making it ideal for swing and contrarian trading strategies. Customizable colors, timeframes, and alert conditions enhance its versatility for manual and automated trading setups. Key Features SMA Envelope: Plots a 100-period SMA for high and low prices, creating a semi-transparent (50% opacity) purple shadow to highlight the price range and provide context for price movements. ICT BoS/MSS Logic: Identifies Break of Structure (BoS) and Market Structure Shift (MSS) signals for both bullish and bearish conditions, based on HTF pivot points. Dynamic Timeframe Support: Adjusts pivot detection based on user-selected HTF (default: 1D) and chart timeframe (1M, 5M, 15M, 30M, 1H, 4H, 1D), ensuring adaptability across markets. Visual Signals: Draws dotted lines for BoS (bullish/bearish) and MSS (bullish/bearish) signals at pivot levels, with customizable colors for easy identification. Contrarian Approach: Signals potential reversals by combining SMA context with ICT structure breaks, ideal for traders looking to capitalize on trend shifts. Alert Conditions: Supports alerts for bullish/bearish BoS and MSS signals, enabling integration with TradingView’s alert system for automated trading. Performance Optimization: Uses efficient pivot detection and line management to minimize resource usage while maintaining accuracy. Technical Details SMA Calculation: Computes 100-period SMAs for high (smaHigh) and low (smaLow) prices. Plots invisible SMAs (fully transparent) and fills the area between them with 50% transparent purple for visual context. Pivot Detection: Uses ta.pivothigh and ta.pivotlow to identify HTF swing points, with dynamic lookback periods (rlBars: 5 for daily, 2 for intraday). Tracks pivot highs (pH, nPh) and lows (pL, nPl) using a custom piv type for price and time. BoS/MSS Logic: Bullish BoS: Triggered when price breaks above a pivot high in a bullish trend, drawing a line at the pivot level. Bearish BoS: Triggered when price breaks below a pivot low in a bearish trend. Bullish MSS: Occurs when price breaks a pivot high in a bearish trend, signaling a potential trend reversal. Bearish MSS: Occurs when price breaks a pivot low in a bullish trend. Lines are drawn using line.new with xloc.bar_time for precise alignment, styled as dotted with customizable colors. HTF Integration: Fetches HTF close prices and pivot data using request.security with lookahead_on for accurate signal timing. Line Management: Maintains an array of lines (lin), removing outdated lines when new MSS signals occur to keep the chart clean. Pivot Reset: Clears broken pivots (e.g., when price exceeds a pivot high or falls below a pivot low) to ensure fresh signal generation. How to Use Add to Chart: Copy the script into TradingView’s Pine Editor and apply it to your chart. Configure Settings: SMA Length: Adjust the SMA period (default: 100 bars) to suit your trading style. Structure Timeframe: Set the HTF for pivot detection (default: 1D). Chart Timeframe: Select the chart timeframe (1M, 5M, 15M, 30M, 1H, 4H, 1D) to adjust pivot sensitivity. Colors: Customize bullish/bearish BoS and MSS line colors via input settings. Interpret Signals: Bullish BoS: White dotted line (default) at a broken pivot high in a bullish trend, indicating trend continuation. Bearish BoS: White dotted line at a broken pivot low in a bearish trend. Bullish MSS: White dotted line at a broken pivot high in a bearish trend, suggesting a reversal to bullish. Bearish MSS: White dotted line at a broken pivot low in a bullish trend, suggesting a reversal to bearish. Use the SMA shadow to gauge price position within the recent range. Set Alerts: Create alerts for bullish/bearish BoS and MSS signals using TradingView’s alert system. Customize Visuals: Adjust line colors or SMA fill transparency via TradingView’s settings for better visibility. Example Use Cases Swing Trading: Use MSS signals to enter trades at potential trend reversals, with the SMA envelope confirming price extremes. Contrarian Trading: Capitalize on BoS and MSS signals to trade against prevailing trends, using the SMA shadow for context. Automated Trading: Integrate BoS/MSS alerts with trading bots for systematic entries and exits. Multi-Timeframe Analysis: Combine HTF signals (e.g., 1D) with lower timeframe charts (e.g., 1H) for precise entries. Notes Testing: Backtest the indicator on your chosen market and timeframe to validate performance. Compatibility: Built for Pine Script v6 and tested on TradingView as of June 19, 2025. Limitations: Signals rely on HTF pivot accuracy, which may lag in fast-moving markets. Adjust rlBars or timeframe for sensitivity. Optional Enhancements: Consider uncommenting or adding a histogram for SMA divergence (e.g., smaHigh - smaLow) for additional insights. Acknowledgments This indicator combines ICT’s market structure concepts with a dynamic SMA envelope to provide a unique contrarian trading tool. Share your feedback or suggestions in the TradingView comments, and happy trading!
Pine Script® göstergesi
chuckaschultz tarafından
SuperTrend Adaptive (STD Smooth)Supertrend Adaptive (Smoothed StdDev) Supertrend Adaptive is a refined trend-following indicator based on the classic Supertrend. It enhances the original by incorporating smoothed standard deviation into the volatility calculation, instead of relying solely on ATR. This hybrid approach enables more responsive and adaptive trend detection, reducing noise and false signals in volatile or ranging markets. The indicator also features confidence-weighted signal labels and a clean, uncluttered display, making it practical for any trading timeframe. 🔍 Detailed Methodology and Conceptual Foundation Unlike traditional Supertrend indicators that use only absolute volatility (ATR) to define trend bands, this version blends standard deviation — a relative volatility measure — into the calculation. Standard deviation helps capture the dispersion of price, not just its range, and when smoothed, it filters out erratic jumps caused by sudden spikes or drops. This fusion creates trend bands that expand and contract dynamically based on recent price variability. As a result: Fewer whipsaws : The trend bands adjust to both low and high volatility environments, which helps avoid unnecessary signal flips during consolidation. Stronger trend adherence : Signals are less reactive to momentary price movements. This allows the indicator to hold positions longer in trending markets, giving traders the opportunity to ride extended moves. Bollinger Band-style adaptation : By including standard deviation, this indicator behaves similarly to Bollinger Bands — accounting for relative price change rather than absolute moves alone. These enhancements make the tool suitable not only for identifying directional bias, but also for refining entries and exits with more context-aware volatility filtering. 📈 How to Use the Indicator Trend Direction: The script draws a colored line beneath (uptrend) or above (downtrend) price. Green indicates bullish trend, red indicates bearish. Buy/Sell Labels: Only the most recent signal is shown to reduce clutter: 🟢 Green "Buy" label = trend reversal to bullish, with strong confidence. 🔵 Blue "Buy" label = same reversal, but with lower volume confidence. 🔴 Red "Sell" label = trend reversal to bearish, with strong confidence. 🟠 Orange "Sell" label = bearish signal with lower volume confidence. These color codes are derived from comparing current volume to its average — a higher-than-average volume gives greater confidence to the signal. Settings: ATR Period: Controls the smoothing window for volatility calculation. ATR Multiplier: Adjusts the size of the trend bands. Std Smooth: Controls smoothing applied to standard deviation to reduce jitter. Change ATR Method: Option to toggle between default and smoothed ATR. Show Signals: Toggle for label display. 📢 Alerts The script includes three built-in alert conditions: Buy Signal: Triggered when the trend flips to bullish. Sell Signal: Triggered when the trend flips to bearish. Trend Direction Change: Alerts on any switch in trend regardless of confidence level. These alerts allow traders to automate notifications or integrations with bots or trading platforms. 🧼 Clean Chart Display To ensure clarity and comply with best practices: The chart shows only this indicator. Trend lines are drawn in real time for visual context. Only one label per direction is shown — the most recent one — to keep the chart readable. No drawings or unrelated indicators are included. This setup ensures the script’s signals and structure are immediately understandable at a glance. 📌 Best Use Cases This tool is designed for: Traders who want adaptive volatility filters instead of rigid ATR-based models. Scalpers and swing traders who prefer clean charts with minimal lag and fewer false signals. Any asset class — works well on crypto, FX, and equities. Shortcoming of this tool is sideway price action (will be tackled in next versions). Credit for www.tradingview.com the version which this script extends.
Pine Script® göstergesi
wrathwd tarafından
Magnificent 7 OscillatorThe Magnificent 7 Oscillator is a sophisticated momentum-based technical indicator designed to analyze the collective performance of the seven largest technology companies in the U.S. stock market (Apple, Microsoft, Alphabet, Amazon, NVIDIA, Tesla, and Meta). This indicator incorporates established momentum factor research and provides three distinct analytical modes: absolute momentum tracking, equal-weighted market comparison, and relative performance analysis. The tool integrates five different oscillator methodologies and includes advanced breadth analysis capabilities. Theoretical Foundation Momentum Factor Research The indicator's foundation rests on seminal momentum research in financial markets. Jegadeesh and Titman (1993) demonstrated that stocks with strong price performance over 3-12 month periods tend to continue outperforming in subsequent periods¹. This momentum effect was later incorporated into formal factor models by Carhart (1997), who extended the Fama-French three-factor model to include a momentum factor (UMD - Up Minus Down)². The momentum calculation methodology follows the academic standard: Momentum(t) = / P(t-n) × 100 Where P(t) is the current price and n is the lookback period. The focus on the "Magnificent 7" stocks reflects the increasing market concentration observed in recent years. Fama and French (2015) noted that a small number of large-cap stocks can drive significant market movements due to their substantial index weights³. The combined market capitalization of these seven companies often exceeds 25% of the total S&P 500, making their collective momentum a critical market indicator. Indicator Architecture Core Components 1. Data Collection and Processing The indicator employs robust data collection with error handling for missing or invalid security data. Each stock's momentum is calculated independently using the specified lookback period (default: 14 periods). 2. Composite Oscillator Calculation Following Fama-French factor construction methodology, the indicator offers two weighting schemes: - Equal Weight: Each active stock receives identical weighting (1/n) - Market Cap Weight: Reserved for future enhancement 3. Oscillator Transformation Functions The indicator provides five distinct oscillator types, each with established technical analysis foundations: a) Momentum Oscillator (Default) - Pure rate-of-change calculation - Centered around zero - Direct implementation of Jegadeesh & Titman methodology b) RSI (Relative Strength Index) - Wilder's (1978) relative strength methodology - Transformed to center around zero for consistency - Scale: -50 to +50 c) Stochastic Oscillator - George Lane's %K methodology - Measures current position within recent range - Transformed to center around zero d) Williams %R - Larry Williams' range-based oscillator - Inverse stochastic calculation - Adjusted for zero-centered display e) CCI (Commodity Channel Index) - Donald Lambert's mean reversion indicator - Measures deviation from moving average - Scaled for optimal visualization Operational Modes Mode 1: Magnificent 7 Analysis Tracks the collective momentum of the seven constituent stocks. This mode is optimal for: - Technology sector analysis - Growth stock momentum assessment - Large-cap performance tracking Mode 2: S&P 500 Equal Weight Comparison Analyzes momentum using an equal-weighted S&P 500 reference (typically RSP ETF). This mode provides: - Broader market momentum context - Size-neutral market analysis - Comparison baseline for relative performance Mode 3: Relative Performance Analysis Calculates the momentum differential between Magnificent 7 and S&P 500 Equal Weight. This mode enables: - Sector rotation analysis - Style factor assessment (Growth vs. Value) - Relative strength identification Formula: Relative Performance = MAG7_Momentum - SP500EW_Momentum Signal Generation and Thresholds Signal Classification The indicator generates three signal states: - Bullish: Oscillator > Upper Threshold (default: +2.0%) - Bearish: Oscillator < Lower Threshold (default: -2.0%) - Neutral: Oscillator between thresholds Relative Performance Signals In relative performance mode, specialized thresholds apply: - Outperformance: Relative momentum > +1.0% - Underperformance: Relative momentum < -1.0% Alert System Comprehensive alert conditions include: - Threshold crossovers (bullish/bearish signals) - Zero-line crosses (momentum direction changes) - Relative performance shifts - Breadth Analysis Component The indicator incorporates market breadth analysis, calculating the percentage of constituent stocks with positive momentum. This feature provides insights into: - Strong Breadth (>60%): Broad-based momentum - Weak Breadth (<40%): Narrow momentum leadership - Mixed Breadth (40-60%): Neutral momentum distribution Visual Design and User Interface Theme-Adaptive Display The indicator automatically adjusts color schemes for dark and light chart themes, ensuring optimal visibility across different user preferences. Professional Data Table A comprehensive data table displays: - Current oscillator value and percentage - Active mode and oscillator type - Signal status and strength - Component breakdowns (in relative performance mode) - Breadth percentage - Active threshold levels Custom Color Options Users can override default colors with custom selections for: - Neutral conditions (default: Material Blue) - Bullish signals (default: Material Green) - Bearish signals (default: Material Red) Practical Applications Portfolio Management - Sector Allocation: Use relative performance mode to time technology sector exposure - Risk Management: Monitor breadth deterioration as early warning signal - Entry/Exit Timing: Utilize threshold crossovers for position sizing decisions Market Analysis - Trend Identification: Zero-line crosses indicate momentum regime changes - Divergence Analysis: Compare MAG7 performance against broader market - Volatility Assessment: Oscillator range and frequency provide volatility insights Strategy Development - Factor Timing: Implement growth factor timing strategies - Momentum Strategies: Develop systematic momentum-based approaches - Risk Parity: Use breadth metrics for risk-adjusted portfolio construction Configuration Guidelines Parameter Selection - Momentum Period (5-100): Shorter periods (5-20) for tactical analysis, longer periods (50-100) for strategic assessment - Smoothing Period (1-50): Higher values reduce noise but increase lag - Thresholds: Adjust based on historical volatility and strategy requirements Timeframe Considerations - Daily Charts: Optimal for swing trading and medium-term analysis - Weekly Charts: Suitable for long-term trend analysis - Intraday Charts: Useful for short-term tactical decisions Limitations and Considerations Market Concentration Risk The indicator's focus on seven stocks creates concentration risk. During periods of significant rotation away from large-cap technology stocks, the indicator may not represent broader market conditions. Momentum Persistence While momentum effects are well-documented, they are not permanent. Jegadeesh and Titman (1993) noted momentum reversal effects over longer time horizons (2-5 years). Correlation Dynamics During market stress, correlations among the constituent stocks may increase, reducing the diversification benefits and potentially amplifying signal intensity. Performance Metrics and Backtesting The indicator includes hidden plots for comprehensive backtesting: - Individual stock momentum values - Composite breadth percentage - S&P 500 Equal Weight momentum - Relative performance calculations These metrics enable quantitative strategy development and historical performance analysis. References ¹Jegadeesh, N., & Titman, S. (1993). Returns to buying winners and selling losers: Implications for stock market efficiency. Journal of Finance, 48(1), 65-91. Carhart, M. M. (1997). On persistence in mutual fund performance. Journal of Finance, 52(1), 57-82. Fama, E. F., & French, K. R. (2015). A five-factor asset pricing model. Journal of Financial Economics, 116(1), 1-22. Wilder, J. W. (1978). New concepts in technical trading systems. Trend Research.
Pine Script® göstergesi
EdgeTools tarafından
6