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1337 VolumeThis volume indicator gives you a unique perspective and ability to analyze volume in any market. The upper line that is always >=0 represents average up volume over a user definable period while the lower line that is always <= 0 represents the average down volume over a user definable period. green == bullish candle but volume lower than average lime == bullish candle with above average volume crimson == bearish candle with below average volume red == bearish candle with above average volume This indicator is very useful for spotting bottoms / tops (do a visual backtest and observe its behavior) as well as entry opportunities. By default, the lookback period for average volume is 7, but I encourage you to change this value in order to find settings that work best for your particular market. If you have any feedback or ideas for improvement, please comment. Enjoy :D
Wskaźnik Pine Script®
od LARP_Capital
7
PPO Bull/Bear Divergence to High/Low StrategyA simple strategy that uses the PPO divergences to open trades and the highs/lows to close them. Credit to Pekipek for this PPO Divergence indicator (I changed the visuals a bit) STRATEGY Purple circle - bullish divergence - enter LONG Orange circle - bearish divergence - enter SHORT Green dot - high point - exit LONG Red dot - low point - exit SHORT That's it. Not very profitable, but I like Pekipek's indicator a lot so figured I'd see what a strategy was like. Would love to see any variations.
Strategia Pine Script®
od scarf
11
[NM]Improved Linear Regression Bull and Bear Power v02Hi guys, I'm back with a little improvement on the Bull and Bear Signal I published just last week thanks to some feedback I received from a couple of users, which is of course highly appreciated. Here are the changes that have been implemented compared to v01 : (version 1 is the top indicator, version 2 is the bottom one) in the chart above Formula adapted to calculate the signal if no data is available for either bull or bear Added the possibility to smoothen the signal using Arnaud Legroux Moving Average (the benefit of this is that it does not add any lag to the signal) Zero line was added If you have any further ideas on how to improve the indicator or if you are happy with it and want to share your settings or rules of engagement, please feel free to share them below. Oh, and don't forget to click that like button ! :)
Wskaźnik Pine Script®
od Profit_Through_Patience
28
Candlestick Patterns Identified (updated 3/11/15)I decided to republish this one without the trend filter and with all the major symbols active. This will allow for all the patterns to show up. Due to 15 different candlestick formations in this one script, it will be difficult to turn off the last few due to screen size. You can turn off individual patterns on the settings screen. I have everything spelled out except the hammer and inverted hammer. They are "H" and "IH" respectively on the charts. They show up so often that they cluttered the charts. The default script has: Doji, Evening Star, Morning Star, Shooting Star, Hammer, Inverted Hammer, Bearish Harami, Bullish Harami, Bearish Engulfing, Bullish Engulfing, Piercing Line, Bullish Belt, Bullish Kicker, Bearish Kicker, Hanging man, and Dark Cloud Cover. You can turn off what you don't like. The Piercing Line, Bullish Belt, and the Kickers will usually show up better in the daily charts. I recommend watching videos with Stephen Bigalow to get a feel for how to trade these. You will want to add an 8 EMA to your chart with his setups. Enjoy. If you want the old version: Take a look at the related ideas below.
Wskaźnik Pine Script®
od repo32
255
Candlesticks Patterns IdentifiedI was using another script that colored the bars to show the different candle patterns. Thanks to HPotter (www.tradingview.com). Unfortunately, I can't think that fast when looking across a screen of charts with different color bars. Fortunately, Tradingview came up with symbols and names on 2/26/15. I decided to take my favorite symbols and attach them to a name. This makes it easier to see what is going on and where your entry would be if it confirms. Works beautifully for me. Decided to share. I also added the ability to alter what shows up based upon a look back. A bullish engulfing at the top of a trend, or a bearish harami at the bottom of the trend, is nearly useless and clutters the chart. I have the default set for the open of the current bar to be higher or lower than the open from 5 bars back. You can adjust in the settings to what you like. This trend setting is on all the patterns except doji. If you want to see all the candle patterns, set it to "1". The doji can be adjusted as well. I left some other patterns at the bottom of the script, but they are turned off. They became too much of a clutter for me. I prefer DovCaspi's pattern finder for hammers and stars: I use his due to the clean appearance. The default script has: Doji, Bearish Harami, Bullish Harami, Bearish Engulfing, Bullish Engulfing, Piercing Line, Bullish Belt, Bullish Kicker, and Bearish Kicker. You can turn off what you don't like. The Piercing Line, Bullish Belt, and the Kickers will usually show up better in the daily charts. If you would like the updated version, see the Related Ideas below:
Wskaźnik Pine Script®
od repo32
30
Custom Indicator Clearly Shows If Bulls or Bears are in Control!The Two Versions of this Indicator I learned from Two Famous and Highly Successful Traders. This Indicator shows With No Lag Clear Up and Down Trends in Market by Documenting Clearly If Bulls or Bears are in Control. The Version In SubChart 1 Shows Consecutive Closes if the Current Close is Greater than of Less than the Midpoint of the Previous Bar (Why Midpoint Explained in Detail in 1st Post). The Version in SubChart 2 Shows Consecutive Closes that are Greater than or Less Than the Previous Close (Will Discuss Specific Uses in 1st Post). Works on Stocks, Forex, Futures, on All Timeframes.
Wskaźnik Pine Script®
od ChrisMoody
37
Bearish signal using Point of Control (POC) with PAC by guruThis indicator code helps traders identify potential sell opportunities using several important technical indicators: Point of Control (POC) – This is the price level where the most volume was traded over the past several days. Previous Day's Low – This shows the lowest price reached during the previous day. PAC (Price Action Channel) EMA – These are two moving averages (one based on the low price and one based on the close price) that help determine if the price is trending within a certain range. Volume SMA – This is a 3-day simple moving average (SMA) of volume, which helps filter out signals based on market activity. What the Script Does: Point of Control (POC): The script looks at the last 50 days (configurable) and calculates which price level had the highest trading volume. It then plots a red line on the chart at the POC level. This is important because it helps identify areas where there was strong market interest in the past. Volume Moving Average: The script calculates a 3-day SMA of volume, but it excludes the current day to avoid premature signals based on today’s trading. The volume SMA is used to ensure there’s enough market activity (with a threshold set to 25 units) before triggering a sell signal. Price Action Channel (PAC) EMA: The PAC consists of two exponential moving averages (EMAs): The PAC Low EMA: This is based on the low prices over the last 34 periods (configurable). The PAC Close EMA: This is based on the closing prices over the last 34 periods. These EMAs help determine if the price is trending above or below certain price levels. Sell Signal Logic: The script checks three conditions before displaying a "Sell" signal: Price Below POC and Previous Day’s Low: The close price must be below both the Point of Control (POC) and the previous day's low. Volume SMA Above 25: The 3-day volume SMA must be greater than 25. This ensures the signal only triggers when there’s enough trading volume in the market. Today’s Low is Above PAC EMAs: Today's low price must be above both the PAC low EMA and the PAC close EMA. This prevents sell signals when prices are already significantly below the PAC, indicating possible exhaustion in the downtrend. If all three conditions are met, the script will display a red "Sell" label on the chart, signaling a potential selling opportunity. No Sell Signal if Price Reverses: If the price crosses back above the POC or the previous day's low, the script will remove the sell signal and reset for a new opportunity. Summary of Conditions: For the script to display a "Sell" label: The close price must be below the Point of Control (POC) and the previous day’s low. The 3-day volume SMA (excluding today) must be greater than 25 units. The low price of the current day must be above both the PAC low EMA and the PAC close EMA. If these conditions are met, a red sell label appears on the chart as a potential signal for a short (sell) trade.
Wskaźnik Pine Script®
od Guru7208
Trend Telescope v4 Basic Configuration pine // Enable only the components you need Order Flow: ON Delta Volume: ON Volume Profile: ON Cumulative Delta: ON Volatility Indicator: ON Momentum Direction: ON Volatility Compression: ON 📊 Component Breakdown 1. Order Flow Analysis Purpose: Identifies buying vs selling pressure Visual: Histogram (Green=Buying, Red=Selling) Calculation: Volume weighted by price position Usage: Spot institutional order blocks 2. Delta Volume Values Purpose: Shows volume imbalance Bull Volume (Green): Volume on up bars Bear Volume (Red): Volume on down bars Usage: Identify volume divergences 3. Anchored Volume Profile Purpose: Finds high-volume price levels POC (Point of Control): Price with highest volume Profile Length: Adjustable (default: 50 bars) Usage: Identify support/resistance zones 4. Cumulative Volume Delta Purpose: Tracks net buying/selling pressure over time Trend Analysis: Rising=Buying pressure, Falling=Selling pressure Divergence Detection: Price vs Delta divergences Usage: Confirm trend strength 5. Volatility Indicator Purpose: Measures market volatility with cycle detection Volatility Ratio: ATR as percentage of price Volatility Cycle: SMA of volatility (identifies periods) Histogram: Difference between current and average volatility Usage: Adjust position sizing, identify breakout setups 6. Real-time Momentum Direction Purpose: Multi-factor momentum assessment Components: Price momentum (50%), RSI momentum (30%), Volume momentum (20%) Visual: Line plot with color coding Labels: Clear BULLISH/BEARISH/NEUTRAL signals Usage: Trend confirmation, reversal detection 7. Volatility Compression Analysis Purpose: Identifies low-volatility consolidation periods Compression Detection: True Range below threshold Strength Meter: How compressed the market is Histogram: Red when compressed, Gray when normal Usage: Predict explosive moves, prepare for breakouts ⚙️ Advanced Configuration Optimal Settings for Different Timeframes pine // Scalping (1-15 min) Profile Length: 20 ATR Period: 10 Momentum Length: 8 Compression Threshold: 0.3 // Day Trading (1H-4H) Profile Length: 50 ATR Period: 14 Momentum Length: 14 Compression Threshold: 0.5 // Swing Trading (Daily) Profile Length: 100 ATR Period: 20 Momentum Length: 21 Compression Threshold: 0.7 Alert Setup Guide Enable "Enable Alerts" in settings Choose alert types: Momentum Alerts: When momentum changes direction Compression Alerts: When volatility compression begins Set alert frequency to "Once Per Bar" Configure notification preferences 🎯 Trading Strategies Strategy 1: Compression Breakout pine Entry Conditions: 1. Volatility Compression shows RED histogram 2. Cumulative Delta trending upward 3. Momentum turns BULLISH 4. Price breaks above POC level Exit: When Momentum turns BEARISH or Compression ends Strategy 2: Momentum Reversal pine Entry Conditions: 1. Strong Order Flow in opposite direction 2. Momentum divergence (price makes new high/low but momentum doesn't) 3. Volume confirms the reversal Exit: When Order Flow returns to trend direction Strategy 3: Institutional Accumulation pine Identification: 1. High Cumulative Delta but flat/sideways price 2. Consistent Order Flow in one direction 3. Volume Profile shows accumulation at specific levels Trade: Enter in direction of Order Flow when price breaks level 📈 Interpretation Guide Bullish Signals ✅ Order Flow consistently green ✅ Cumulative Delta making higher highs ✅ Momentum above zero and rising ✅ Bull Volume > Bear Volume ✅ Price above POC level Bearish Signals ✅ Order Flow consistently red ✅ Cumulative Delta making lower lows ✅ Momentum below zero and falling ✅ Bear Volume > Bull Volume ✅ Price below POC level Caution Signals ⚠️ Momentum divergence (price vs indicator) ⚠️ Volatility compression (potential big move coming) ⚠️ Mixed signals across components 🔧 Troubleshooting Common Issues & Solutions Problem: Indicators not showing Solution: Check "Show on Chart" is enabled Problem: Alerts not triggering Solution: Verify alert is enabled in both script and TradingView alert panel Problem: Performance issues Solution: Reduce number of enabled components or increase timeframe Problem: Volume Profile not updating Solution: Adjust Profile Length setting, ensure sufficient historical data Performance Optimization Disable unused components Increase chart timeframe Reduce historical bar count Use on lower timeframes with fewer indicators enabled 💡 Pro Tips Risk Management Use Volatility Indicator for position sizing Monitor Cumulative Delta for trend confirmation Use POC levels for stop-loss placement Multi-Timeframe Analysis Use higher timeframe for trend direction Use current timeframe for entry timing Correlate signals across timeframes Market Condition Adaptation Trending Markets: Focus on Momentum + Order Flow Ranging Markets: Focus on Volume Profile + Compression High Volatility: Use smaller position sizes Low Volatility: Prepare for compression breakouts 📚 Educational Resources Key Concepts to Master Volume-price relationships Market microstructure Institutional order flow Volatility regimes Momentum vs mean reversion Recommended Learning Path Start with Order Flow + Momentum only Add Volume Profile once comfortable Incorporate Volatility analysis Master multi-component correlation 🆘 Support Getting Help Check component toggles are enabled Verify sufficient historical data is loaded Test on major pairs/indices first Adjust settings for your trading style Continuous Improvement Backtest strategies thoroughly Keep a trading journal Adjust parameters based on market conditions Combine with price action analysis Remember: No indicator is perfect. Use this tool as part of a comprehensive trading plan with proper risk management. Always test strategies in demo accounts before live trading. Happy Trading! 📈
Wskaźnik Pine Script®
od lohanineeraj
OTS Confirmation (RSI + Thrust)# OTS Confirmation Panel – Operator Guide This guide covers `apps/tradingview/pine/panel_ots_confirmation.pine`, the companion panel for the OTS Trend Suite. It explains how to deploy the script, decode every visual layer, tune the inputs for different markets, and wire alerts for automated workflows. Use this doc when onboarding new analysts, preparing TradingView alerts, or logging QA runs in `docs/qa/`. --- ## 1. Add the Panel to a Chart 1. In TradingView open **Pine Editor**, paste the contents of `apps/tradingview/pine/panel_ots_confirmation.pine`, and click **Add to chart**. 2. The script renders as a non-overlay panel. Keep the default settings for a full session to let the auto-calibration warm up. 3. Pair it with `overlay_ots_trend.pine` on the main chart. The panel acts as a momentum confirmation layer for OTS structure calls. 4. Save your TradingView template so inputs reload automatically. --- ## 2. What the Panel Shows | Layer | Engine | Interpretation | Typical Use | | --- | --- | --- | --- | | **RSI stack** (gray/orange/blue) | RSI(21/14/7) | Gray = slow regime, orange = baseline, blue = fast | Gauge momentum alignment; look for spreads between lines. | | **RSI crosses** (“RSI↑” / “RSI↓”) | `ta.crossover` / `ta.crossunder` of RSI(14) against fast/slow envelopes | Momentum shifts inside larger structure | Pair with thrust color to time entries/exits. | | **Divergence dots** (“Div↑” / “Div↓”) | Price vs RSI(14) over `look=20` bars | Early warning for exhaustion | Treat as heads-up; wait for thrust/RSI confirmation. | | **Thrust columns** | Robust z-score of ATR-normalized price change × volume factor | Colored buckets flag institutional-like pressure | Immediate confirmation of impulsive moves. | --- ## 3. Input Reference ### 3.1 Momentum Stack - `Source` – price series feeding the RSI trio (default `close`). - `RSI Fast/Normal/Slow` – lookbacks for the fast (7), baseline (14), and slow (21) curves. Keep the 3:2:1 ratio unless you have a strong reason to change it. - `Show simple divergences` – toggles the divergence markers. ### 3.2 Thrust Engine - `Thrust lookback (z-score)` – rolling window for the robust median/MAD statistics. Smaller values react faster but can flicker in noisy tape. - `Price ROC length` – horizon for price change (1 = bar-to-bar impulse). - `Volume SMA for norm` – smooths volume before computing the relative weight. ### 3.3 Session Gating - `Use RTH only (09:30–16:00 ET)` – restrict thrust calculations to the defined session. - `RTH Session (exchange time)` – session string; defaults to U.S. equity hours. - Under the hood the script uses `time()` to check whether the current bar belongs to the session. Outside the session the thrust column paints blue and quantile buffers pause. ### 3.4 Auto Buckets - `Auto thrust buckets (quantiles)` – enables rolling quantile calibration. - `Auto bucket window` – sample length for quantiles (default 180 bars). - `Green quantile (auto)` / `Orange quantile (auto)` – percentile thresholds that define “meaningful” vs “extreme” thrust. Lower green or higher orange to tighten filters. --- ## 4. Thrust Computation Cheat Sheet 1. Compute ATR-normalized price move: `move = change(close, rocLen) / atr(14)`. 2. Scale by the square root of relative volume: `volNorm = volume / sma(volume, volSmaL)`. 3. Multiply: `raw = move * sqrt(volNorm)` to emphasize high-volume impulses. 4. Stabilize with robust statistics: subtract the rolling median and divide by MAD (scaled by 1.4826 to map to σ). 5. Gate by session. If `Use RTH` is true, values outside the session revert to zero so alerts do not spam during illiquid after-hours prints. 6. Quantile buckets update only during valid session bars, which prevents thin-tail expansion on micro-cap tapes. Color mapping: - **Orange Up** – `z` exceeds the orange quantile → extreme bullish thrust. - **Green** – `z` between green and orange thresholds → constructive buying pressure. - **Blue** – outside session or neutral thrust. - **Red** – `z` below `-green` → constructive selling pressure. - **Orange Down** – `z` below `-orange` → extreme bearish thrust. --- ## 5. Playbooks ### 5.1 Trend Continuation (with Overlay) 1. Confirm OTS overlay track is lime (bullish) or red (bearish). 2. Wait for a matching RSI cross (`RSI↑` in longs, `RSI↓` in shorts). 3. Require the thrust column to print Green or Orange in the trade direction. 4. Scale out when thrust fades back to Blue or opposing RSI cross fires. ### 5.2 Reversal Scouts 1. Spot a divergence dot against the prevailing move. 2. Wait for thrust to flip from Orange/Red to Blue/Green plus an RSI cross confirmation. 3. Use tighter stops; reversals are lower probability unless the overlay also signals a pivot (e.g., `B✓`/`T✓`). ### 5.3 Session-Aware Scalps 1. Keep `Use RTH` enabled on equities. The panel flags off-session bars as Blue so you can ignore outliers. 2. For 24/7 assets (crypto, some FX), disable the gate or edit the session string to match your synthetic “prime hours”. 3. If thrust never leaves Blue during valid hours, reduce `Auto bucket window` or lower the quantile thresholds slightly. --- ## 6. Alerts The script pre-registers four alerts so TradingView never drops them: - **Thrust ORANGE Up** – extreme bullish thrust. - **Thrust ORANGE Down** – extreme bearish thrust. - **RSI Bullish Momentum** – `RSI(14)` crosses above both fast and slow anchors. - **RSI Bearish Momentum** – `RSI(14)` crosses under both anchors. To deploy: right-click the chart → **Add alert…** → choose this indicator and the alert name → set message/routing. The panel exposes `Use RTH` as a guard, so alerts only fire within session when the toggle is on. --- ## 7. Tuning & Troubleshooting | Symptom | Likely Cause | Remedy | | --- | --- | --- | | Thrust columns stay blue all day | Session window excludes the instrument or auto buckets are too strict | Adjust session string or lower `Green/Orange quantile`. | | Orange prints constantly | `Auto bucket window` too small or the asset is very volatile | Increase window or raise quantiles. | | Divergence markers feel noisy | 20-bar lookback too tight | Increase the `look` constant in code or disable the toggle for automation. | | Alerts firing after the bell | `Use RTH` disabled | Enable the toggle or update session hours. | --- ## 8. QA Checklist Before Publishing 1. **Warm-up pass** – load at least 200–250 bars so auto buckets stabilize. 2. **Session sanity** – confirm blue columns outside the chosen session, green/orange inside when impulsive moves occur. 3. **Overlay sync** – run alongside the OTS overlay and capture screenshots where thrust confirms `AVWM` entries or `T/B` confirms. 4. **Alert audit** – manually trigger each alert in replay mode and ensure they remain in TradingView’s alert dropdown. 5. **QA notes** – log findings, symbol/timeframe coverage, and screenshots in `docs/qa/-ots-confirmation.md`. --- Keep this panel as a confirmation filter rather than a standalone signal generator. Primary decisions should respect structure from the overlay; use thrust and RSI timing to validate momentum before committing risk.
Wskaźnik Pine Script®
od yordam
Alpha Candles-Candlestick Pattern Recognition — Multi-Pattern DeCandlestick Pattern Recognition — Multi-Pattern Detector Description: This Pine Script intelligently scans price action to automatically detect and label multiple candlestick patterns directly on your TradingView chart. It’s designed for traders who want to combine price psychology and pattern-based setups into their technical analysis. Using built-in and custom logic, the script identifies both bullish and bearish reversal & continuation patterns, dynamically marking them on the chart for quick visual recognition. ✨ Key Features 🔍 Pattern Detection: Automatically identifies major candlestick formations such as: Bullish Reversal Patterns: Hammer, Morning Star, Bullish Engulfing, Piercing Line, Three White Soldiers Bearish Reversal Patterns: Shooting Star, Evening Star, Bearish Engulfing, Dark Cloud Cover, Three Black Crows Continuation Patterns: Rising Three, Falling Three, Marubozu, Doji, Spinning Top 🧠 Smart Filtering: Optionally filters signals based on trend direction, volume confirmation, or body-to-wick ratios for higher accuracy. 🕯️ Custom Labels: Each detected pattern is plotted with a clean, color-coded label (green for bullish, red for bearish). ⚙️ Adjustable Sensitivity: Fine-tune thresholds like wick size, body ratio, or lookback periods to adapt detection to your preferred timeframe or asset class. 📈 Multi-Timeframe Ready: Works seamlessly across intraday, daily, and weekly charts. How It Works The script measures the relative body and wick sizes of recent candles and compares them against pattern-specific ratios. For example: A Bullish Engulfing is confirmed when the latest candle’s body fully engulfs the previous candle’s body, following a downtrend. A Hammer is identified when the lower wick is at least twice the body size, appearing after a price decline. These detections are then plotted as visual markers on your chart, helping you instantly spot momentum shifts or trend exhaustion zones. Use Case Perfect for: Traders using price action-based entries Backtesting pattern-based strategies Educators demonstrating candlestick psychology Analysts combining pattern recognition with indicators (RSI, EMAs, etc.)
Wskaźnik Pine Script®
od DrFerozkhan
Dynamic Market Structure (MTF) - Dow TheoryDynamic Market Structure (MTF) OVERVIEW This advanced indicator provides a comprehensive and fully customizable solution for analyzing market structure based on classic Dow Theory principles. It automates the identification of key structural points, including Higher Highs (HH), Higher Lows (HL), Lower Lows (LL), and Lower Highs (LH). Going beyond simple pivot detection, this tool visualizes the flow of the trend by plotting dynamic Breaks of Structure (BOS) and potential reversals with Changes of Character (CHoCH). It is designed to be a flexible and powerful tool for traders who use price action and trend analysis as a core part of their strategy. CORE CONCEPTS The indicator is built on the foundational principles of Dow Theory: Uptrend: A series of Higher Highs and Higher Lows. Downtrend: A series of Lower Lows and Lower Highs. Break of Structure (BOS): Occurs when price action continues the current trend by creating a new HH in an uptrend or a new LL in a downtrend. Change of Character (CHoCH): Occurs when the established trend sequence is broken, signaling a potential reversal. For example, when a Lower Low forms after a series of Higher Highs. CALCULATION METHODOLOGY This section explains the indicator's underlying logic: Pivot Detection: The indicator's core logic is based on TradingView's built-in ta.pivothigh() and ta.pivotlow() functions. The sensitivity of this detection is fully controlled by the user via the Pivot Lookback Left and Pivot Lookback Right settings. Structure Calculation (BOS/CHoCH): The script identifies market structure by analyzing the sequence of these confirmed pivots. A bullish BOS is plotted when a new ta.pivothigh is confirmed at a price higher than the previous confirmed ta.pivothigh. A bearish CHoCH is plotted when a new ta.pivotlow is confirmed at a price lower than the previous confirmed ta.pivotlow , breaking the established sequence of higher lows. The logic is mirrored for bearish BOS and bullish CHoCH. Invalidation Levels: This feature identifies the last confirmed pivot before a structure break (e.g., the last ta.pivotlow before a bullish BOS) and plots a dotted line from it to the breakout bar. This level is considered the structural invalidation point for that move. MTF Confirmation: This unique feature provides confluence by analyzing a second, lower timeframe. When a pivot (e.g., a Higher Low) is confirmed on the main chart, the script requests pivot data from the user-selected lower timeframe. If a corresponding trend reversal is detected on that lower timeframe (e.g., a break of its own minor downtrend), the pivot is labeled "Firm" (FHL); otherwise, it is labeled "Soft" (SHL). KEY FEATURES This indicator is packed with advanced features designed to provide a deeper level of market insight: Dynamic Structure Lines: BOS and CHoCH levels are plotted with clean, dashed lines that dynamically start at the old pivot and terminate precisely at the breakout bar, keeping the chart clean and precise. Invalidation Levels: For every structure break, the indicator can plot a dotted "Invalidation" line (INV). This marks the critical support or resistance pivot that, if broken, would negate the previous move, providing a clear reference for risk management. Multi-Timeframe (MTF) Confirmation: Add a layer of confluence to your analysis by confirming pivots on a lower timeframe. The indicator can label Higher Lows and Lower Highs as either "Firm" (FHL/FLH) if confirmed by a reversal on a lower timeframe, or "Soft" (SHL/SLH) if not. Flexible Pivot Detection: Fully adjustable Pivot Lookback settings for the left and right sides allow you to tune the indicator's sensitivity to match any timeframe or trading style, from long-term investing to short-term scalping. Full Customization: Take complete control of the indicator's appearance. A dedicated style menu allows you to customize the colors for all bullish, bearish, and reversal elements, including the transparency of the trend-based candle coloring. HOW TO USE Trend Identification: Use the sequence of HH/HL and LL/LH, along with the trend-colored candles, to quickly assess the current market direction on any timeframe. Entry Signals: A confirmed BOS can signal a potential entry in the direction of the trend. A CHoCH can signal a potential reversal, offering an opportunity to enter a new trend early. Risk Management: Use the automatically plotted "Invalidation" (INV) lines as a logical reference point for placing stop losses. A break of this level indicates that the structure you were trading has failed. Confluence: Use the "Firm" pivot signals from the MTF analysis to identify high-probability swing points that are supported by price action on multiple timeframes. SETTINGS BREAKDOWN Pivot Lookback Left/Right: Controls the sensitivity of pivot detection. Higher numbers find more significant (but fewer) pivots. MTF Confirmation: Enable/disable the "Firm" vs. "Soft" pivot analysis and select your preferred lower timeframe for confirmation. Style Settings: Customize all colors and the transparency of the candle coloring to match your chart's theme. Show Invalidation Levels: Toggle the visibility of the dotted invalidation lines. This indicator is a powerful tool for visualizing and trading with the trend. Experiment with the settings to find a configuration that best fits your personal trading strategy.
Wskaźnik Pine Script®
od Leree123
Match on Selectable Percentage Change + RangeIndicator Overview: Match on Selectable Percentage Change + Range is a powerful analytical tool designed for traders and analysts who want to identify historical price bars that match a specific percentage variation, and then evaluate how price evolved in the following days. It combines precision filtering with visual tabular feedback, making it ideal for pattern recognition, backtesting, and scenario analysis. What It Does This indicator scans historical bars to find instances where the percentage change between two consecutive closes matches a user-defined target (± a customizable tolerance). Once matches are found, it displays: The date of each match (most recent first) The actual variation searched The percentage change after 2, 10, 20, and 30 bars The min-max range (in %) over those same periods All results are shown in a dynamic table directly on the chart. Inputs & Controls Input Description Which variation do you want to analyze? (%) Set the target percentage change to look for (e.g. 2.5%) % deviation from the variation to be considered (%) Define the tolerance range around the target (e.g. ±0.5%) Bars to analyze (max 9999) Set how many past bars to scan Show match table Toggle to enable/disable the entire table Show percentage variations (2d, 10d, 20d, 30d) Toggle to show/hide post-match percentage changes Show min-max ranges (2d, 10d, 20d, 30d) Toggle to show/hide post-match high/low ranges Table Structure Each row in the table represents a historical match. Columns include: Date: When the match occurred Variation in: The actual % change that triggered the match 2d / 10d / 20d / 30d: % change after those days Min-Max 2d / 10d / 20d / 30d: Range of price movement after those days Color coding helps quickly identify bullish (green) vs bearish (red) outcomes. Use Cases Backtesting: See how similar past moves evolved over time Scenario modeling: Estimate potential outcomes after a known variation Pattern recognition: Spot recurring setups or volatility clusters Risk analysis: Understand post-variation drawdowns and upside potential Tips for Use Use tighter deviation (e.g. 0.3%) for precision, or wider (e.g. 1%) for broader pattern capture. Combine with other indicators to validate setups (e.g. volume, RSI, trend filters). Toggle off variation or range columns to focus only on the metrics you need.
Wskaźnik Pine Script®
od FrancescoG65
Relative Strength Index Remastered [CHE]Relative Strength Index Remastered — Enhanced RSI with robust divergence detection using price-based pivots and line-of-sight validation to reduce false signals compared to the standard RSI indicator. Summary RSI Remastered builds on the classic Relative Strength Index by adding a more reliable divergence detection system that relies on price pivots rather than RSI pivots alone, incorporating a line-of-sight check to ensure the RSI path between points remains clear. This approach filters out many false divergences that occur in the original RSI indicator due to its volatile pivot detection on the RSI line itself. Users benefit from clearer reversal and continuation signals, especially in noisy markets, with optional hidden divergence support for trend confirmation. The core RSI calculation and smoothing options remain familiar, but the divergence logic provides materially fewer alerts while maintaining sensitivity. Motivation: Why this design? The standard RSI indicator often generates misleading divergence signals because it detects pivots directly on the RSI values, which can fluctuate erratically in volatile conditions, leading to frequent false positives that confuse traders during ranging or choppy price action. RSI Remastered addresses this by shifting pivot detection to the underlying price highs and lows, which are more stable, and adding a validation step that confirms the RSI line does not cross the direct path between pivot points. This design targets the real problem of over-signaling in the original, promoting more actionable insights without altering the RSI's core momentum measurement. What’s different vs. standard approaches? - Reference baseline: The classical TradingView RSI indicator, which uses simple RSI-based pivot detection for divergences. - Architecture differences: - Pivot identification on price extremes (highs and lows) instead of RSI values, extracting RSI levels at those points for comparison. - Addition of a line-of-sight validation that checks the RSI path bar by bar between pivots to prevent signals where the line is interrupted. - Inclusion of hidden divergence types alongside regular ones, using the same robust framework. - Configurable drawing of connecting lines between validated pivot RSI points for visual clarity. - Practical effect: Charts show fewer but higher-quality divergence markers and lines, reducing clutter from the original's frequent RSI pivot triggers; this matters for avoiding whipsaws in intraday trading, where the standard version might flag dozens of invalid setups per session. Key Comparison Aspects Aspect: Title/Shorttitle Original RSI: "Relative Strength Index" / "RSI" Robust Variant: "Relative Strength Index Remastered " / "RSI RM" Aspect: Max. Lines/Labels Original RSI: No specification (Standard: 50/50) Robust Variant: max_lines_count=200, max_labels_count=200 (for more lines/markers in divergences) Aspect: RSI Calculation & Plots Original RSI: Identical: RSI with RMA, Plots (line, bands, gradient fills) Robust Variant: Identical: RSI with RMA, Plots (line, bands, gradient fills) Aspect: Smoothing (MA) Original RSI: Identical: Inputs for MA types (SMA, EMA etc.), Bollinger Bands optional Robust Variant: Identical: Inputs for MA types (SMA, EMA etc.), Bollinger Bands optional Aspect: Divergence Activation Original RSI: input.bool(false, "Calculate Divergence") (disabled by default) Robust Variant: input.bool(true, "Calculate Divergence") (enabled by default, with tooltip) Aspect: Pivot Calculation Original RSI: Pivots on RSI (ta.pivotlow/high on RSI values) Robust Variant: Pivots on price (ta.pivotlow/high on low/high), RSI values then extracted Aspect: Lookback Values Original RSI: Fixed: lookbackLeft=5, lookbackRight=5 Robust Variant: Input: L=5 (Pivot Left), R=5 (Pivot Right), adjustable (min=1, max=50) Aspect: Range Between Pivots Original RSI: Fixed: rangeUpper=60, rangeLower=5 (via _inRange function) Robust Variant: Input: rangeUpper=60 (Max Bars), rangeLower=5 (Min Bars), adjustable (min=1–6, max=100–300) Aspect: Divergence Types Original RSI: Only Regular Bullish/Bearish: - Bull: Price LL + RSI HL - Bear: Price HH + RSI LH Robust Variant: Regular + Hidden (optional via showHidden=true): - Regular Bull: Price LL + RSI HL - Regular Bear: Price HH + RSI LH - Hidden Bull: Price HL + RSI LL - Hidden Bear: Price LH + RSI HH Aspect: Validation Original RSI: No additional check (only pivot + range check) Robust Variant: Line-of-Sight Check: RSI line must not cross the connecting line between pivots (line_clear function with slope calculation and loop for each bar in between) Aspect: Signals (Plots/Shapes) Original RSI: - Plot of pivot points (if divergence) - Shapes: "Bull"/"Bear" at RSI value, offset=-5 Robust Variant: - No pivot plots, instead shapes at RSI , offset=-R (adjustable) - Shapes: "Bull"/"Bear" (Regular), "HBull"/"HBear" (Hidden) - Colors: Lime/Red (Regular), Teal/Orange (Hidden) Aspect: Line Drawing Original RSI: No lines Robust Variant: Optional (showLines=true): Lines between RSI pivots (thick for regular, dashed/thin for hidden), extend=none Aspect: Alerts Original RSI: Only Regular Bullish/Bearish (with pivot lookback reference) Robust Variant: Regular Bullish/Bearish + Hidden Bullish/Bearish (specific "at latest pivot low/high") Aspect: Robustness Original RSI: Simple, prone to false signals (RSI pivots can be volatile) Robust Variant: Higher: Price pivots are more stable, line-of-sight filters "broken" divergences, hidden support for trend continuations Aspect: Code Length/Structure Original RSI: ~100 lines, simple if-blocks for bull/bear Robust Variant: ~150 lines, extended helper functions (e.g., inRange, line_clear), var group for inputs How it works (technical) The indicator first computes the core RSI value based on recent price changes, separating upward and downward movements over the specified length and smoothing them to derive a momentum reading scaled between zero and one hundred. This value is then plotted in a separate pane with fixed upper and lower reference lines at seventy and thirty, along with optional gradient fills to highlight overbought and oversold zones. For smoothing, a moving average type is applied to the RSI if enabled, with an option to add bands around it based on the variability of recent RSI values scaled by a multiplier. Divergence detection activates on confirmed price pivots: lows for bullish checks and highs for bearish. At each new pivot, the system retrieves the bar index and values (price and RSI) for the current and prior pivot, ensuring they fall within a configurable bar range to avoid unrelated points. Comparisons then assess whether the price has made a lower low (or higher high) while the RSI at those points moves in the opposite direction—higher for bullish regular, lower for bearish regular. For hidden types, the directions reverse to capture trend strength. The line-of-sight check calculates the straight path between the two RSI points and verifies that the actual RSI values in between stay entirely above (for bullish) or below (for bearish) that path, breaking the signal if any bar violates it. Valid signals trigger shapes at the RSI level of the new pivot and optional lines connecting the points. Initialization uses built-in functions to track prior occurrences, with states persisting across bars for accurate historical comparisons. No higher timeframe data is used, so confirmation occurs after the right pivot bars close, minimizing live-bar repaints. Parameter Guide Length — Controls the period for measuring price momentum changes — Default: 14 — Trade-offs/Tips: Shorter values increase responsiveness but add noise and more false signals; longer smooths trends but delays entries in fast markets. Source — Selects the price input for RSI calculation — Default: Close — Trade-offs/Tips: Use high or low for volatility focus, but close works best for most assets; mismatches can skew overbought/oversold reads. Calculate Divergence — Enables the enhanced divergence logic — Default: True — Trade-offs/Tips: Disable for pure RSI view to save computation; essential for signal reliability over the standard method. Type (Smoothing) — Chooses the moving average applied to RSI — Default: SMA — Trade-offs/Tips: None for raw RSI; EMA for quicker adaptation, but SMA reduces whipsaws; Bollinger Bands option adds volatility context at cost of added lines. Length (Smoothing) — Period for the smoothing average — Default: 14 — Trade-offs/Tips: Match RSI length for consistency; shorter boosts signal speed but amplifies noise in the smoothed line. BB StdDev — Multiplier for band width around smoothed RSI — Default: 2.0 — Trade-offs/Tips: Lower narrows bands for tighter signals, risking more touches; higher widens for fewer but stronger breakouts. Pivot Left — Bars to the left for confirming price pivots — Default: 5 — Trade-offs/Tips: Increase for stricter pivots in noisy data, reducing signals; too high delays confirmation excessively. Pivot Right — Bars to the right for confirming price pivots — Default: 5 — Trade-offs/Tips: Balances with left for symmetry; longer right ensures maturity but shifts signals backward. Max Bars Between Pivots — Upper limit on distance for valid pivot pairs — Default: 60 — Trade-offs/Tips: Tighten for short-term trades to focus recent action; widen for swing setups but risks unrelated comparisons. Min Bars Between Pivots — Lower limit to avoid clustered pivots — Default: 5 — Trade-offs/Tips: Raise to filter micro-moves; too low invites overlapping signals like the original RSI. Detect Hidden — Includes trend-continuation hidden types — Default: True — Trade-offs/Tips: Enable for full trend analysis; disable simplifies to reversals only, akin to basic RSI. Draw Lines — Shows connecting lines between valid pivots — Default: True — Trade-offs/Tips: Turn off for cleaner charts; helps visually confirm line-of-sight in backtests. Reading & Interpretation The main RSI line oscillates between zero and one hundred, crossing above fifty suggesting building momentum and below indicating weakness; touches near seventy or thirty flag potential extremes. The optional smoothed line and bands provide a filtered view—price above the upper band on the RSI pane hints at overextension. Divergence shapes appear as upward labels for bullish (lime for regular, teal for hidden) and downward for bearish (red regular, orange hidden) at the pivot's RSI level, signaling a mismatch only after validation. Connecting lines, if drawn, slope between points without RSI interference, their color matching the shape type; a dashed style denotes hidden. Fewer shapes overall compared to the standard RSI mean higher conviction, but always confirm with price structure. Practical Workflows & Combinations - Trend following: Enter longs on regular bullish shapes near support with higher highs in price; filter hidden bullish for pullback buys in uptrends, pairing with a rising smoothed RSI above fifty. - Exits/Stops: Use bearish regular as reversal warnings to tighten stops; hidden bearish in downtrends confirms continuation—exit if lines show RSI crossing the path. - Multi-asset/Multi-TF: Defaults suit forex and stocks on one-hour charts; for crypto volatility, widen pivot ranges to ten; scale min/max bars proportionally on daily for swings, avoiding the original's intraday spam. Behavior, Constraints & Performance Signals confirm only after the right pivot bars close, so live bars may show tentative pivots that vanish on close, unlike the standard RSI's immediate RSI-pivot triggers—plan for this delay in automation. No higher timeframe calls, so no security-related repaints. Resources include up to two hundred lines and labels for dense charts, with a loop in validation scanning up to three hundred bars between pivots, which is efficient but could slow on very long histories. Known limits: Slight lag at pivot confirmation in trending markets; volatile RSI might rarely miss fine path violations; not ideal for gap-heavy assets where pivots skip. Sensible Defaults & Quick Tuning Start with defaults for balanced momentum and divergence on most timeframes. For too many signals (like the original), raise pivot left/right to eight and min bars to ten to filter noise. If sluggish in trends, shorten RSI length to nine and enable EMA smoothing for faster adaptation. In high-volatility assets, widen max bars to one hundred but disable hidden to focus essentials. For clean reversal hunts, set smoothing to none and lines on. What this indicator is—and isn’t RSI Remastered serves as a refined momentum and divergence visualization tool, enhancing the standard RSI for better signal quality in technical analysis setups. It is not a standalone trading system, nor does it predict price moves—pair it with volume, structure breaks, and risk rules for decisions. Use alongside position sizing and broader context, not in isolation. Disclaimer The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context. Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved. By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk. Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts. Best regards and happy trading Chervolino
Wskaźnik Pine Script®
od chervolino
Market Zone Analyzer[BullByte]Understanding the Market Zone Analyzer --- 1. Purpose of the Indicator The Market Zone Analyzer is a Pine Script™ (version 6) indicator designed to streamline market analysis on TradingView. Rather than scanning multiple separate tools, it unifies four core dimensions—trend strength, momentum, price action, and market activity—into a single, consolidated view. By doing so, it helps traders: • Save time by avoiding manual cross-referencing of disparate signals. • Reduce decision-making errors that can arise from juggling multiple indicators. • Gain a clear, reliable read on whether the market is in a bullish, bearish, or sideways phase, so they can more confidently decide to enter, exit, or hold a position. --- 2. Why a Trader Should Use It • Unified View: Combines all essential market dimensions into one easy-to-read score and dashboard, eliminating the need to piece together signals manually. • Adaptability: Automatically adjusts its internal weighting for trend, momentum, and price action based on current volatility. Whether markets are choppy or calm, the indicator remains relevant. • Ease of Interpretation: Outputs a simple “BULLISH,” “BEARISH,” or “SIDEWAYS” label, supplemented by an intuitive on-chart dashboard and an oscillator plot that visually highlights market direction. • Reliability Features: Built-in smoothing of the net score and hysteresis logic (requiring consecutive confirmations before flips) minimize false signals during noisy or range-bound phases. --- 3. Why These Specific Indicators? This script relies on a curated set of well-established technical tools, each chosen for its particular strength in measuring one of the four core dimensions: 1. Trend Strength: • ADX/DMI (Average Directional Index / Directional Movement Index): Measures how strong a trend is, and whether the +DI line is above the –DI line (bullish) or vice versa (bearish). • Moving Average Slope (Fast MA vs. Slow MA): Compares a shorter-period SMA to a longer-period SMA; if the fast MA sits above the slow MA, it confirms an uptrend, and vice versa for a downtrend. • Ichimoku Cloud Differential (Senkou A vs. Senkou B): Provides a forward-looking view of trend direction; Senkou A above Senkou B signals bullishness, and the opposite signals bearishness. 2. Momentum: • Relative Strength Index (RSI): Identifies overbought (above its dynamically calculated upper bound) or oversold (below its lower bound) conditions; changes in RSI often precede price reversals. • Stochastic %K: Highlights shifts in short-term momentum by comparing closing price to the recent high/low range; values above its upper band signal bullish momentum, below its lower band signal bearish momentum. • MACD Histogram: Measures the difference between the MACD line and its signal line; a positive histogram indicates upward momentum, a negative histogram indicates downward momentum. 3. Price Action: • Highest High / Lowest Low (HH/LL) Range: Over a defined lookback period, this captures breakout or breakdown levels. A closing price near the recent highs (with a positive MA slope) yields a bullish score, and near the lows (with a negative MA slope) yields a bearish score. • Heikin-Ashi Doji Detection: Uses Heikin-Ashi candles to identify indecision or continuation patterns. A small Heikin-Ashi body (doji) relative to recent volatility is scored as neutral; a larger body in the direction of the MA slope is scored bullish or bearish. • Candle Range Measurement: Compares each candle’s high-low range against its own dynamic band (average range ± standard deviation). Large candles aligning with the prevailing trend score bullish or bearish accordingly; unusually small candles can indicate exhaustion or consolidation. 4. Market Activity: • Bollinger Bands Width (BBW): Measures the distance between BB upper and lower bands; wide bands indicate high volatility, narrow bands indicate low volatility. • Average True Range (ATR): Quantifies average price movement (volatility). A sudden spike in ATR suggests a volatile environment, while a contraction suggests calm. • Keltner Channels Width (KCW): Similar to BBW but uses ATR around an EMA. Provides a second layer of volatility context, confirming or contrasting BBW readings. • Volume (with Moving Average): Compares current volume to its moving average ± standard deviation. High volume validates strong moves; low volume signals potential lack of conviction. By combining these tools, the indicator captures trend direction, momentum strength, price-action nuances, and overall market energy, yielding a more balanced and comprehensive assessment than any single tool alone. --- 4. What Makes This Indicator Stand Out • Multi-Dimensional Analysis: Rather than relying on a lone oscillator or moving average crossover, it simultaneously evaluates trend, momentum, price action, and activity. • Dynamic Weighting: The relative importance of trend, momentum, and price action adjusts automatically based on real-time volatility (Market Activity State). For example, in highly volatile conditions, trend and momentum signals carry more weight; in calm markets, price action signals are prioritized. • Stability Mechanisms: • Smoothing: The net score is passed through a short moving average, filtering out noise, especially on lower timeframes. • Hysteresis: Both Market Activity State and the final bullish/bearish/sideways zone require two consecutive confirmations before flipping, reducing whipsaw. • Visual Interpretation: A fully customizable on-chart dashboard displays each sub-indicator’s value, regime, score, and comment, all color-coded. The oscillator plot changes color to reflect the current market zone (green for bullish, red for bearish, gray for sideways) and shows horizontal threshold lines at +2, 0, and –2. --- 5. Recommended Timeframes • Short-Term (5 min, 15 min): Day traders and scalpers can benefit from rapid signals, but should enable smoothing (and possibly disable hysteresis) to reduce false whipsaws. • Medium-Term (1 h, 4 h): Swing traders find a balance between responsiveness and reliability. Less smoothing is required here, and the default parameters (e.g., ADX length = 14, RSI length = 14) perform well. • Long-Term (Daily, Weekly): Position traders tracking major trends can disable smoothing for immediate raw readings, since higher-timeframe noise is minimal. Adjust lookback lengths (e.g., increase adxLength, rsiLength) if desired for slower signals. Tip: If you keep smoothing off, stick to timeframes of 1 h or higher to avoid excessive signal “chatter.” --- 6. How Scoring Works A. Individual Indicator Scores Each sub-indicator is assigned one of three discrete scores: • +1 if it indicates a bullish condition (e.g., RSI above its dynamically calculated upper bound). • 0 if it is neutral (e.g., RSI between upper and lower bounds). • –1 if it indicates a bearish condition (e.g., RSI below its dynamically calculated lower bound). Examples of individual score assignments: • ADX/DMI: • +1 if ADX ≥ adxThreshold and +DI > –DI (strong bullish trend) • –1 if ADX ≥ adxThreshold and –DI > +DI (strong bearish trend) • 0 if ADX < adxThreshold (trend strength below threshold) • RSI: • +1 if RSI > RSI_upperBound • –1 if RSI < RSI_lowerBound • 0 otherwise • ATR (as part of Market Activity): • +1 if ATR > (ATR_MA + stdev(ATR)) • –1 if ATR < (ATR_MA – stdev(ATR)) • 0 otherwise Each of the four main categories shares this same +1/0/–1 logic across their sub-components. B. Category Scores Once each sub-indicator reports +1, 0, or –1, these are summed within their categories as follows: • Trend Score = (ADX score) + (MA slope score) + (Ichimoku differential score) • Momentum Score = (RSI score) + (Stochastic %K score) + (MACD histogram score) • Price Action Score = (Highest-High/Lowest-Low score) + (Heikin-Ashi doji score) + (Candle range score) • Market Activity Raw Score = (BBW score) + (ATR score) + (KC width score) + (Volume score) Each category’s summed value can range between –3 and +3 (for Trend, Momentum, and Price Action), and between –4 and +4 for Market Activity raw. C. Market Activity State and Dynamic Weight Adjustments Rather than contributing directly to the netScore like the other three categories, Market Activity determines how much weight to assign to Trend, Momentum, and Price Action: 1. Compute Market Activity Raw Score by summing BBW, ATR, KCW, and Volume individual scores (each +1/0/–1). 2. Bucket into High, Medium, or Low Activity: • High if raw Score ≥ 2 (volatile market). • Low if raw Score ≤ –2 (calm market). • Medium otherwise. 3. Apply Hysteresis (if enabled): The state only flips after two consecutive bars register the same high/low/medium label. 4. Set Category Weights: • High Activity: Trend = 50 %, Momentum = 35 %, Price Action = 15 %. • Low Activity: Trend = 25 %, Momentum = 20 %, Price Action = 55 %. • Medium Activity: Use the trader’s base weight inputs (e.g., Trend = 40 %, Momentum = 30 %, Price Action = 30 % by default). D. Calculating the Net Score 5. Normalize Base Weights (so that the sum of Trend + Momentum + Price Action always equals 100 %). 6. Determine Current Weights based on the Market Activity State (High/Medium/Low). 7. Compute Each Category’s Contribution: Multiply (categoryScore) × (currentWeight). 8. Sum Contributions to get the raw netScore (a floating-point value that can exceed ±3 when scores are strong). 9. Smooth the netScore over two bars (if smoothing is enabled) to reduce noise. 10. Apply Hysteresis to the Final Zone: • If the smoothed netScore ≥ +2, the bar is classified as “Bullish.” • If the smoothed netScore ≤ –2, the bar is classified as “Bearish.” • Otherwise, it is “Sideways.” • To prevent rapid flips, the script requires two consecutive bars in the new zone before officially changing the displayed zone (if hysteresis is on). E. Thresholds for Zone Classification • BULLISH: netScore ≥ +2 • BEARISH: netScore ≤ –2 • SIDEWAYS: –2 < netScore < +2 --- 7. Role of Volatility (Market Activity State) in Scoring Volatility acts as a dynamic switch that shifts which category carries the most influence: 1. High Activity (Volatile): • Detected when at least two sub-scores out of BBW, ATR, KCW, and Volume equal +1. • The script sets Trend weight = 50 % and Momentum weight = 35 %. Price Action weight is minimized at 15 %. • Rationale: In volatile markets, strong trending moves and momentum surges dominate, so those signals are more reliable than nuanced candle patterns. 2. Low Activity (Calm): • Detected when at least two sub-scores out of BBW, ATR, KCW, and Volume equal –1. • The script sets Price Action weight = 55 %, Trend = 25 %, and Momentum = 20 %. • Rationale: In quiet, sideways markets, subtle price-action signals (breakouts, doji patterns, small-range candles) are often the best early indicators of a new move. 3. Medium Activity (Balanced): • Raw Score between –1 and +1 from the four volatility metrics. • Uses whatever base weights the trader has specified (e.g., Trend = 40 %, Momentum = 30 %, Price Action = 30 %). Because volatility can fluctuate rapidly, the script employs hysteresis on Market Activity State: a new High or Low state must occur on two consecutive bars before weights actually shift. This avoids constant back-and-forth weight changes and provides more stability. --- 8. Scoring Example (Hypothetical Scenario) • Symbol: Bitcoin on a 1-hour chart. • Market Activity: Raw volatility sub-scores show BBW (+1), ATR (+1), KCW (0), Volume (+1) → Total raw Score = +3 → High Activity. • Weights Selected: Trend = 50 %, Momentum = 35 %, Price Action = 15 %. • Trend Signals: • ADX strong and +DI > –DI → +1 • Fast MA above Slow MA → +1 • Ichimoku Senkou A > Senkou B → +1 → Trend Score = +3 • Momentum Signals: • RSI above upper bound → +1 • MACD histogram positive → +1 • Stochastic %K within neutral zone → 0 → Momentum Score = +2 • Price Action Signals: • Highest High/Lowest Low check yields 0 (close not near extremes) • Heikin-Ashi doji reading is neutral → 0 • Candle range slightly above upper bound but trend is strong, so → +1 → Price Action Score = +1 • Compute Net Score (before smoothing): • Trend contribution = 3 × 0.50 = 1.50 • Momentum contribution = 2 × 0.35 = 0.70 • Price Action contribution = 1 × 0.15 = 0.15 • Raw netScore = 1.50 + 0.70 + 0.15 = 2.35 • Since 2.35 ≥ +2 and hysteresis is met, the final zone is “Bullish.” Although the netScore lands at 2.35 (Bullish), smoothing might bring it slightly below 2.00 on the first bar (e.g., 1.90), in which case the script would wait for a second consecutive reading above +2 before officially classifying the zone as Bullish (if hysteresis is enabled). --- 9. Correlation Between Categories The four categories—Trend Strength, Momentum, Price Action, and Market Activity—often reinforce or offset one another. The script takes advantage of these natural correlations: • Bullish Alignment: If ADX is strong and pointed upward, fast MA is above slow MA, and Ichimoku is positive, that usually coincides with RSI climbing above its upper bound and the MACD histogram turning positive. In such cases, both Trend and Momentum categories generate +1 or +2. Because the Market Activity State is likely High (given the accompanying volatility), Trend and Momentum weights are at their peak, so the netScore quickly crosses into Bullish territory. • Sideways/Consolidation: During a low-volatility, sideways phase, ADX may fall below its threshold, MAs may flatten, and RSI might hover in the neutral band. However, subtle price-action signals (like a small breakout candle or a Heikin-Ashi candle with a slight bias) can still produce a +1 in the Price Action category. If Market Activity is Low, Price Action’s weight (55 %) can carry enough influence—even if Trend and Momentum are neutral—to push the netScore out of “Sideways” into a mild bullish or bearish bias. • Opposing Signals: When Trend is bullish but Momentum turns negative (for example, price continues up but RSI rolls over), the two scores can partially cancel. Market Activity may remain Medium, in which case the netScore lingers near zero (Sideways). The trader can then wait for either a clearer momentum shift or a fresh price-action breakout before committing. By dynamically recognizing these correlations and adjusting weights, the indicator ensures that: • When Trend and Momentum align (and volatility supports it), the netScore leaps strongly into Bullish or Bearish. • When Trend is neutral but Price Action shows an early move in a low-volatility environment, Price Action’s extra weight in the Low Activity State can still produce actionable signals. --- 10. Market Activity State & Its Role (Detailed) The Market Activity State is not a direct category score—it is an overarching context setter for how heavily to trust Trend, Momentum, or Price Action. Here’s how it is derived and applied: 1. Calculate Four Volatility Sub-Scores: • BBW: Compare the current band width to its own moving average ± standard deviation. If BBW > (BBW_MA + stdev), assign +1 (high volatility); if BBW < (BBW_MA × 0.5), assign –1 (low volatility); else 0. • ATR: Compare ATR to its moving average ± standard deviation. A spike above the upper threshold is +1; a contraction below the lower threshold is –1; otherwise 0. • KCW: Same logic as ATR but around the KCW mean. • Volume: Compare current volume to its volume MA ± standard deviation. Above the upper threshold is +1; below the lower threshold is –1; else 0. 2. Sum Sub-Scores → Raw Market Activity Score: Range between –4 and +4. 3. Assign Market Activity State: • High Activity: Raw Score ≥ +2 (at least two volatility metrics are strongly spiking). • Low Activity: Raw Score ≤ –2 (at least two metrics signal unusually low volatility or thin volume). • Medium Activity: Raw Score is between –1 and +1 inclusive. 4. Hysteresis for Stability: • If hysteresis is enabled, a new state only takes hold after two consecutive bars confirm the same High, Medium, or Low label. • This prevents the Market Activity State from bouncing around when volatility is on the fence. 5. Set Category Weights Based on Activity State: • High Activity: Trend = 50 %, Momentum = 35 %, Price Action = 15 %. • Low Activity: Trend = 25 %, Momentum = 20 %, Price Action = 55 %. • Medium Activity: Use trader’s base weights (e.g., Trend = 40 %, Momentum = 30 %, Price Action = 30 %). 6. Impact on netScore: Because category scores (–3 to +3) multiply by these weights, High Activity amplifies the effect of strong Trend and Momentum scores; Low Activity amplifies the effect of Price Action. 7. Market Context Tooltip: The dashboard includes a tooltip summarizing the current state—e.g., “High activity, trend and momentum prioritized,” “Low activity, price action prioritized,” or “Balanced market, all categories considered.” --- 11. Category Weights: Base vs. Dynamic Traders begin by specifying base weights for Trend Strength, Momentum, and Price Action that sum to 100 %. These apply only when volatility is in the Medium band. Once volatility shifts: • High Volatility Overrides: • Trend jumps from its base (e.g., 40 %) to 50 %. • Momentum jumps from its base (e.g., 30 %) to 35 %. • Price Action is reduced to 15 %. Example: If base weights were Trend = 40 %, Momentum = 30 %, Price Action = 30 %, then in High Activity they become 50/35/15. A Trend score of +3 now contributes 3 × 0.50 = +1.50 to netScore; a Momentum +2 contributes 2 × 0.35 = +0.70. In total, Trend + Momentum can easily push netScore above the +2 threshold on its own. • Low Volatility Overrides: • Price Action leaps from its base (30 %) to 55 %. • Trend falls to 25 %, Momentum falls to 20 %. Why? When markets are quiet, subtle candle breakouts, doji patterns, and small-range expansions tend to foreshadow the next swing more effectively than raw trend readings. A Price Action score of +3 in this state contributes 3 × 0.55 = +1.65, which can carry the netScore toward +2—even if Trend and Momentum are neutral or only mildly positive. Because these weight shifts happen only after two consecutive bars confirm a High or Low state (if hysteresis is on), the indicator avoids constantly flipping its emphasis during borderline volatility phases. --- 12. Dominant Category Explained Within the dashboard, a label such as “Trend Dominant,” “Momentum Dominant,” or “Price Action Dominant” appears when one category’s absolute weighted contribution to netScore is the largest. Concretely: • Compute each category’s weighted contribution = (raw category score) × (current weight). • Compare the absolute values of those three contributions. • The category with the highest absolute value is flagged as Dominant for that bar. Why It Matters: • Momentum Dominant: Indicates that the combined force of RSI, Stochastic, and MACD (after weighting) is pushing netScore farther than either Trend or Price Action. In practice, it means that short-term sentiment and speed of change are the primary drivers right now, so traders should watch for continued momentum signals before committing to a trade. • Trend Dominant: Means ADX, MA slope, and Ichimoku (once weighted) outweigh the other categories. This suggests a strong directional move is in place; trend-following entries or confirming pullbacks are likely to succeed. • Price Action Dominant: Occurs when breakout/breakdown patterns, Heikin-Ashi candle readings, and range expansions (after weighting) are the most influential. This often happens in calmer markets, where subtle shifts in candle structure can foreshadow bigger moves. By explicitly calling out which category is carrying the most weight at any moment, the dashboard gives traders immediate insight into why the netScore is tilting toward bullish, bearish, or sideways. --- 13. Oscillator Plot: How to Read It The “Net Score” oscillator sits below the dashboard and visually displays the smoothed netScore as a line graph. Key features: 1. Value Range: In normal conditions it oscillates roughly between –3 and +3, but extreme confluences can push it outside that range. 2. Horizontal Threshold Lines: • +2 Line (Bullish threshold) • 0 Line (Neutral midline) • –2 Line (Bearish threshold) 3. Zone Coloring: • Green Background (Bullish Zone): When netScore ≥ +2. • Red Background (Bearish Zone): When netScore ≤ –2. • Gray Background (Sideways Zone): When –2 < netScore < +2. 4. Dynamic Line Color: • The plotted netScore line itself is colored green in a Bullish Zone, red in a Bearish Zone, or gray in a Sideways Zone, creating an immediate visual cue. Interpretation Tips: • Crossing Above +2: Signals a strong enough combined trend/momentum/price-action reading to classify as Bullish. Many traders wait for a clear crossing plus a confirmation candle before entering a long position. • Crossing Below –2: Indicates a strong Bearish signal. Traders may consider short or exit strategies. • Rising Slope, Even Below +2: If netScore climbs steadily from neutral toward +2, it demonstrates building bullish momentum. • Divergence: If price makes a higher high but the oscillator fails to reach a new high, it can warn of weakening momentum and a potential reversal. --- 14. Comments and Their Necessity Every sub-indicator (ADX, MA slope, Ichimoku, RSI, Stochastic, MACD, HH/LL, Heikin-Ashi, Candle Range, BBW, ATR, KCW, Volume) generates a short comment that appears in the detailed dashboard. Examples: • “Strong bullish trend” or “Strong bearish trend” for ADX/DMI • “Fast MA above slow MA” or “Fast MA below slow MA” for MA slope • “RSI above dynamic threshold” or “RSI below dynamic threshold” for RSI • “MACD histogram positive” or “MACD histogram negative” for MACD Hist • “Price near highs” or “Price near lows” for HH/LL checks • “Bullish Heikin Ashi” or “Bearish Heikin Ashi” for HA Doji scoring • “Large range, trend confirmed” or “Small range, trend contradicted” for Candle Range Additionally, the top-row comment for each category is: • Trend: “Highly Bullish,” “Highly Bearish,” or “Neutral Trend.” • Momentum: “Strong Momentum,” “Weak Momentum,” or “Neutral Momentum.” • Price Action: “Bullish Action,” “Bearish Action,” or “Neutral Action.” • Market Activity: “Volatile Market,” “Calm Market,” or “Stable Market.” Reasons for These Comments: • Transparency: Shows exactly how each sub-indicator contributed to its category score. • Education: Helps traders learn why a category is labeled bullish, bearish, or neutral, building intuition over time. • Customization: If, for example, the RSI comment says “RSI neutral” despite an impending trend shift, a trader might choose to adjust RSI length or thresholds. In the detailed dashboard, hovering over each comment cell also reveals a tooltip with additional context (e.g., “Fast MA above slow MA” or “Senkou A above Senkou B”), helping traders understand the precise rule behind that +1, 0, or –1 assignment. --- 15. Real-Life Example (Consolidated) • Instrument & Timeframe: Bitcoin (BTCUSD), 1-hour chart. • Current Market Activity: BBW and ATR both spike (+1 each), KCW is moderately high (+1), but volume is only neutral (0) → Raw Market Activity Score = +2 → State = High Activity (after two bars, if hysteresis is on). • Category Weights Applied: Trend = 50 %, Momentum = 35 %, Price Action = 15 %. • Trend Sub-Scores: 1. ADX = 25 (above threshold 20) with +DI > –DI → +1. 2. Fast MA (20-period) sits above Slow MA (50-period) → +1. 3. Ichimoku: Senkou A > Senkou B → +1. → Trend Score = +3. • Momentum Sub-Scores: 4. RSI = 75 (above its moving average +1 stdev) → +1. 5. MACD histogram = +0.15 → +1. 6. Stochastic %K = 50 (mid-range) → 0. → Momentum Score = +2. • Price Action Sub-Scores: 7. Price is not within 1 % of the 20-period high/low and slope = positive → 0. 8. Heikin-Ashi body is slightly larger than stdev over last 5 bars with haClose > haOpen → +1. 9. Candle range is just above its dynamic upper bound but trend is already captured, so → +1. → Price Action Score = +2. • Calculate netScore (before smoothing): • Trend contribution = 3 × 0.50 = 1.50 • Momentum contribution = 2 × 0.35 = 0.70 • Price Action contribution = 2 × 0.15 = 0.30 • Raw netScore = 1.50 + 0.70 + 0.30 = 2.50 → Immediately classified as Bullish. • Oscillator & Dashboard Output: • The oscillator line crosses above +2 and turns green. • Dashboard displays: • Trend Regime “BULLISH,” Trend Score = 3, Comment = “Highly Bullish.” • Momentum Regime “BULLISH,” Momentum Score = 2, Comment = “Strong Momentum.” • Price Action Regime “BULLISH,” Price Action Score = 2, Comment = “Bullish Action.” • Market Activity State “High,” Comment = “Volatile Market.” • Weights: Trend 50 %, Momentum 35 %, Price Action 15 %. • Dominant Category: Trend (because 1.50 > 0.70 > 0.30). • Overall Score: 2.50, posCount = (three +1s in Trend) + (two +1s in Momentum) + (two +1s in Price Action) = 7 bullish signals, negCount = 0. • Final Zone = “BULLISH.” • The trader sees that both Trend and Momentum are reinforcing each other under high volatility. They might wait one more candle for confirmation but already have strong evidence to consider a long. --- • . --- Disclaimer This indicator is strictly a technical analysis tool and does not constitute financial advice. All trading involves risk, including potential loss of capital. Past performance is not indicative of future results. Traders should: • Always backtest the “Market Zone Analyzer ” on their chosen symbols and timeframes before committing real capital. • Combine this tool with sound risk management, position sizing, and, if possible, fundamental analysis. • Understand that no indicator is foolproof; always be prepared for unexpected market moves. Goodluck -BullByte! ---
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