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Auto TrendLines [TradingFinder] Support Resistance Signal Alerts🔵 Introduction The trendline is one of the most essential tools in technical analysis, widely used in financial markets such as Forex, cryptocurrency, and stocks. A trendline is a straight line that connects swing highs or swing lows and visually indicates the market’s trend direction. Traders use trendlines to identify price structure, the strength of buyers and sellers, dynamic support and resistance zones, and optimal entry and exit points. In technical analysis, trendlines are typically classified into three categories: uptrend lines (drawn by connecting higher lows), downtrend lines (formed by connecting lower highs), and sideways trends (moving horizontally). A valid trendline usually requires at least three confirmed touchpoints to be considered reliable for trading decisions. Trendlines can serve as the foundation for a variety of trading strategies, such as the trendline bounce strategy, valid breakout setups, and confluence-based analysis with other tools like candlestick patterns, divergences, moving averages, and Fibonacci levels. Additionally, trendlines are categorized into internal and external, and further into major and minor levels, each serving unique roles in market structure analysis. 🔵 How to Use Trendlines are a key component in technical analysis, used to identify market direction, define dynamic support and resistance zones, highlight strategic entry and exit points, and manage risk. For a trendline to be reliable, it must be drawn based on structural principles—not by simply connecting two arbitrary points. 🟣 Selecting Pivot Types Based on Trend Direction The first step is to determine the market trend: uptrend, downtrend, or sideways. Then, choose pivot points that match the trend type : In an uptrend, trendlines are drawn by connecting low pivots, especially higher lows. In a downtrend, trendlines are formed by connecting high pivots, specifically lower highs. It is crucial to connect pivots of the same type and structure to ensure the trendline is valid and analytically sound. 🟣 Pivot Classification This indicator automatically classifies pivot points into two categories : Major Pivots : MLL : Major Lower Low MHL : Major Higher Low MHH : Major Higher High MLH : Major Lower High These define the primary structure of the market and are typically used in broader structural analysis. Minor Pivots : mLL: minor Lower Low mHL: minor Higher Low mHH: minor Higher High mLH: minor Lower High These are used for drawing more precise trendlines within corrective waves or internal price movements. Example : In a downtrend, drawing a trendline from an MHH to an mHH creates structural inconsistency and introduces noise. Instead, connect points like MHL to MHL or mLH to mLH for a valid trendline. 🟣 Drawing High-Precision Trendlines To ensure a reliable trendline : Use pivots of the same classification (Major with Major or Minor with Minor). Ensure at least three valid contact points (three touches = structural confirmation). Draw through candles with the least deviation (choose wicks or bodies based on confluence). Preferably draw from right to left for better alignment with current market behavior. Use parallel lines to turn a single trendline into a trendline zone, if needed. 🟣 Using Trendlines for Trade Entries Bounce Entry: When price approaches the trendline and shows signs of reversal (e.g., a reversal candle, divergence, or support/resistance), enter in the direction of the trend with a logical stop-loss. Breakout Entry: When price breaks through the trendline with strong momentum and a confirmation (such as a retest or break of structure), consider trading in the direction of the breakout. 🟣 Trendline-Based Risk Management For bounce entries, the stop-loss is placed below the trendline or the last pivot low (in an uptrend). For breakout entries, the stop-loss is set behind the breakout candle or the last structural level. A broken trendline can also act as an exit signal from a trade. 🟣 Combining Trendlines with Other Tools (Confluence) Trendlines gain much more strength when used alongside other analytical tools : Horizontal support and resistance levels Moving averages (such as EMA 50 or EMA 200) Fibonacci retracement zones Candlestick patterns (e.g., Engulfing, Pin Bar) RSI or MACD divergences Market structure breaks (BoS / ChoCH) 🔵 Settings Pivot Period : This defines how sensitive the pivot detection is. A higher number means the algorithm will identify more significant pivot points, resulting in longer-term trendlines. Alerts Alert : Enable or disable the entire alert system Set a custom alert name Choose how often alerts trigger (every time, once per bar, or on bar close) Select the time zone for alert timestamps (e.g., UTC) Each trendline type supports two alert types : Break Alert : Triggered when price breaks the trendline React Alert : Triggered when price reacts or bounces off the trendline These alerts can be independently enabled or disabled for all trendline categories (Major/Minor, Internal/External, Up/Down). Display : For each of the eight trendline types, you can control : Whether to show or hide the line Whether to delete the previous line when a new one is drawn Color, line style (solid, dashed, dotted), extension direction (e.g., right only), and width Major lines are typically thicker and more opaque, while minor lines appear thinner and more transparent. All settings are designed to give the user full control over the appearance, behavior, and alert system of the indicator, without requiring manual drawing or adjustments. 🔵 Conclusion A trendline is more than just a line on the chart—it is a structural, strategic, and flexible tool in technical analysis that can serve as the foundation for understanding price behavior and making trading decisions. Whether in trending markets or during corrections, trendlines help traders identify market direction, key zones, and high-potential entry and exit points with precision. The accuracy and effectiveness of a trendline depend on using structurally valid pivot points and adhering to proper market logic, rather than relying on guesswork or personal bias. This indicator is built to solve that exact problem. It automatically detects and draws multiple types of trendlines based on actual price structure, separating them into Major/Minor and Internal/External categories, and respecting professional analytical principles such as pivot type, trend direction, and structural location.
Pine Script® göstergesi
TFlab tarafından
7
Dynamic Touch Trendlines [QuantVue]The Dynamic Touch Trendlines (DTT) indicator automatically draws and manages trendlines on your chart, helping traders identify key support and resistance levels. What sets the DTT indicator apart from other trendline indicators is its ability to let traders customize the number of touches required to validate a trendline. This flexibility allows you to fine-tune the indicator for different markets or trading styles, ensuring only strong trendlines with the specified number of touches are considered valid. This indicator features both uptrend lines (drawn from pivot lows) and downtrend lines (drawn from pivot highs), making it suitable for detecting bullish and bearish trends. An uptrend line connects three (default setting) or more significant lows, showing where price has historically found support. Traders often look for price to bounce off this line during pullbacks in an uptrend. When price breaks below an uptrend line, it suggests a weakening of the bullish trend. This could mean that buyers are losing strength, and the market may be transitioning into a bearish phase, providing a potential opportunity for traders to enter short positions or exit long positions. Conversely, a downtrend line connects three (default setting) or more significant highs, indicating potential resistance in a downtrend. Price action below this line can signal continued bearish momentum. When price breaks above a downtrend line, it indicates a potential reversal of the bearish trend. This can signal the end of selling pressure and the beginning of a new bullish phase, offering traders a potential opportunity to enter long positions. Key settings: Minimum Touches: This sets the number of price touches required to validate a trendline. Increasing the minimum touches filters out weaker trends, ensuring that only more reliable trendlines are drawn. Buffer: The buffer is used to account for minor price overshoots or near misses relative to the trendline. It creates a margin around the trendline, allowing price to come close to the line—whether it overshoots slightly or falls just short—and still count as a valid touch. This helps ensure that small price fluctuations or market noise don’t prevent valid trendline touches from being recognized, making the trendlines more reliable. Trendline Break Source: Allows traders to define how a trendline is considered broken—either based on the close of the price bar or the wicks (highs and lows) of the price action. The DTT indicator also features alerts whenever a new trendline is detected or an existing trendline is broken!
Pine Script® göstergesi
QuantVue tarafından
6
TrendLine Toolkit w/ Breaks (Real-Time)The TrendLine Toolkit script introduces an innovating capability by extending the conventional use of trendlines beyond price action to include oscillators and other technical indicators. This tool allows traders to automatically detect and display trendlines on any TradingView built-in oscillator or community-built script, offering a versatile approach to trend analysis. With breakout detection and real-time alerts, this script enhances the way traders interpret trends in various indicators. 🔲 Methodology Trendlines are a fundamental tool in technical analysis used to identify and visualize the direction and strength of a price trend. They are drawn by connecting two or more significant points on a price chart, typically the highs or lows of consecutive price movements (pivots). Drawing Trendlines: Uptrend Line - Connects a series of higher lows. It signals an upward price trend. Downtrend Line - Connects a series of lower highs. It indicates a downward price trend. Support and Resistance: Support Line - A trendline drawn under rising prices, indicating a level where buying interest is historically strong. Resistance Line - A trendline drawn above falling prices, showing a level where selling interest historically prevails. Identification of Trends: Uptrend - Prices making higher highs and higher lows. Downtrend - Prices making lower highs and lower lows. Sideways (or Range-bound) - Prices moving within a horizontal range. A trendline helps confirm the existence and direction of a trend, providing guidance in aligning with the prevailing market sentiment. Additionally, they are usually paired with breakout analysis, a breakout occurs when the price breaches a trendline. This signals a potential change in trend direction or an acceleration of the existing trend. The script adapts this methodology to oscillators and other indicators. Instead of relying on price pivots, which can only be detected in retrospect, the script utilizes a trailing stop on the oscillator to identify potential swings in real-time, you may find more info about it here (SuperTrend toolkit) . We detect swings or pivots simply by testing for crosses between the indicator and its trailing stop. type oscillator float o = Oscillator Value float s = Trailing Stop Value oscillator osc = oscillator.new() bool l = ta.crossunder(osc.o, osc.s) => Utilized as a formed high bool h = ta.crossover (osc.o, osc.s) => Utilized as a formed low This approach enables the algorithm to detect trendlines between consecutive pivot highs or lows on the oscillator itself, providing a dynamic and immediate representation of trend dynamics. 🔲 Breakout Detection The script goes beyond trendline creation by incorporating breakout detection directly within the oscillator. After identifying a trendline, the algorithm continuously monitors the oscillator for potential breakouts, signaling shifts in market sentiment. 🔲 Setup Guide A simple example on one of my public scripts, Z-Score Heikin-Ashi Transformed 🔲 Settings Source - Choose an oscillator source of which to base the Toolkit on. Zeroing - The Mid-Line value of the oscillator, for example RSI & MFI use 50. Sensitivity - Calibrates the Sensitivity of which TrendLines are detected, higher values result in more detections. 🔲 Alerts Bearish TrendLine Bullish TrendLine Bearish Breakout Bullish Breakout As well as the option to trigger 'any alert' call. By integrating trendline analysis into oscillators, this Toolkit enhances the capabilities of technical analysis, bringing a dynamic and comprehensive approach to identifying trends, support/resistance levels, and breakout signals across various indicators.
Pine Script® göstergesi
EliCobra tarafından
5
Trend Gauge [BullByte]Trend Gauge Summary A multi-factor trend detection indicator that aggregates EMA alignment, VWMA momentum scaling, volume spikes, ATR breakout strength, higher-timeframe confirmation, ADX-based regime filtering, and RSI pivot-divergence penalty into one normalized trend score. It also provides a confidence meter, a Δ Score momentum histogram, divergence highlights, and a compact, scalable dashboard for at-a-glance status. ________________________________________ ## 1. Purpose of the Indicator Why this was built Traders often monitor several indicators in parallel - EMAs, volume signals, volatility breakouts, higher-timeframe trends, ADX readings, divergence alerts, etc., which can be cumbersome and sometimes contradictory. The “Trend Gauge” indicator was created to consolidate these complementary checks into a single, normalized score that reflects the prevailing market bias (bullish, bearish, or neutral) and its strength. By combining multiple inputs with an adaptive regime filter, scaling contributions by magnitude, and penalizing weakening signals (divergence), this tool aims to reduce noise, highlight genuine trend opportunities, and warn when momentum fades. Key Design Goals Signal Aggregation Merged trend-following signals (EMA crossover, ATR breakout, higher-timeframe confirmation) and momentum signals (VWMA thrust, volume spikes) into a unified score that reflects directional bias more holistically. Market Regime Awareness Implemented an ADX-style filter to distinguish between trending and ranging markets, reducing the influence of trend signals during sideways phases to avoid false breakouts. Magnitude-Based Scaling Replaced binary contributions with scaled inputs: VWMA thrust and ATR breakout are weighted relative to recent averages, allowing for more nuanced score adjustments based on signal strength. Momentum Divergence Penalty Integrated pivot-based RSI divergence detection to slightly reduce the overall score when early signs of momentum weakening are detected, improving risk-awareness in entries. Confidence Transparency Added a live confidence metric that shows what percentage of enabled sub-indicators currently agree with the overall bias, making the scoring system more interpretable. Momentum Acceleration Visualization Plotted the change in score (Δ Score) as a histogram bar-to-bar, highlighting whether momentum is increasing, flattening, or reversing, aiding in more timely decision-making. Compact Informational Dashboard Presented a clean, scalable dashboard that displays each component’s status, the final score, confidence %, detected regime (Trending/Ranging), and a labeled strength gauge for quick visual assessment. ________________________________________ ## 2. Why a Trader Should Use It Main benefits and use cases 1. Unified View: Rather than juggling multiple windows or panels, this indicator delivers a single score synthesizing diverse signals. 2. Regime Filtering: In ranging markets, trend signals often generate false entries. The ADX-based regime filter automatically down-weights trend-following components, helping you avoid chasing false breakouts. 3. Nuanced Momentum & Volatility: VWMA and ATR breakout contributions are normalized by recent averages, so strong moves register strongly while smaller fluctuations are de-emphasized. 4. Early Warning of Weakening: Pivot-based RSI divergence is detected and used to slightly reduce the score when price/momentum diverges, giving a cautionary signal before a full reversal. 5. Confidence Meter: See at a glance how many sub-indicators align with the aggregated bias (e.g., “80% confidence” means 4 out of 5 components agree ). This transparency avoids black-box decisions. 6. Trend Acceleration/Deceleration View: The Δ Score histogram visualizes whether the aggregated score is rising (accelerating trend) or falling (momentum fading), supplementing the main oscillator. 7. Compact Dashboard: A corner table lists each check’s status (“Bull”, “Bear”, “Flat” or “Disabled”), plus overall Score, Confidence %, Regime, Trend Strength label, and a gauge bar. Users can scale text size (Normal, Small, Tiny) without removing elements, so the full picture remains visible even in compact layouts. 8. Customizable & Transparent: All components can be enabled/disabled and parameterized (lengths, thresholds, weights). The full Pine code is open and well-commented, letting users inspect or adapt the logic. 9. Alert-ready: Built-in alert conditions fire when the score crosses weak thresholds to bullish/bearish or returns to neutral, enabling timely notifications. ________________________________________ ## 3. Component Rationale (“Why These Specific Indicators?”) Each sub-component was chosen because it adds complementary information about trend or momentum: 1. EMA Cross o Basic trend measure: compares a faster EMA vs. a slower EMA. Quickly reflects trend shifts but by itself can whipsaw in sideways markets. 2. VWMA Momentum o Volume-weighted moving average change indicates momentum with volume context. By normalizing (dividing by a recent average absolute change), we capture the strength of momentum relative to recent history. This scaling prevents tiny moves from dominating and highlights genuinely strong momentum. 3. Volume Spikes o Sudden jumps in volume combined with price movement often accompany stronger moves or reversals. A binary detection (+1 for bullish spike, -1 for bearish spike) flags high-conviction bars. 4. ATR Breakout o Detects price breaking beyond recent highs/lows by a multiple of ATR. Measures breakout strength by how far beyond the threshold price moves relative to ATR, capped to avoid extreme outliers. This gives a volatility-contextual trend signal. 5. Higher-Timeframe EMA Alignment o Confirms whether the shorter-term trend aligns with a higher timeframe trend. Uses request.security with lookahead_off to avoid future data. When multiple timeframes agree, confidence in direction increases. 6. ADX Regime Filter (Manual Calculation) o Computes directional movement (+DM/–DM), smoothes via RMA, computes DI+ and DI–, then a DX and ADX-like value. If ADX ≥ threshold, market is “Trending” and trend components carry full weight; if ADX < threshold, “Ranging” mode applies a configurable weight multiplier (e.g., 0.5) to trend-based contributions, reducing false signals in sideways conditions. Volume spikes remain binary (optional behavior; can be adjusted if desired). 7. RSI Pivot-Divergence Penalty o Uses ta.pivothigh / ta.pivotlow with a lookback to detect pivot highs/lows on price and corresponding RSI values. When price makes a higher high but RSI makes a lower high (bearish divergence), or price makes a lower low but RSI makes a higher low (bullish divergence), a divergence signal is set. Rather than flipping the trend outright, the indicator subtracts (or adds) a small penalty (configurable) from the aggregated score if it would weaken the current bias. This subtle adjustment warns of weakening momentum without overreacting to noise. 8. Confidence Meter o Counts how many enabled components currently agree in direction with the aggregated score (i.e., component sign × score sign > 0). Displays this as a percentage. A high percentage indicates strong corroboration; a low percentage warns of mixed signals. 9. Δ Score Momentum View o Plots the bar-to-bar change in the aggregated score (delta_score = score - score ) as a histogram. When positive, bars are drawn in green above zero; when negative, bars are drawn in red below zero. This reveals acceleration (rising Δ) or deceleration (falling Δ), supplementing the main oscillator. 10. Dashboard • A table in the indicator pane’s top-right with 11 rows: 1. EMA Cross status 2. VWMA Momentum status 3. Volume Spike status 4. ATR Breakout status 5. Higher-Timeframe Trend status 6. Score (numeric) 7. Confidence % 8. Regime (“Trending” or “Ranging”) 9. Trend Strength label (e.g., “Weak Bullish Trend”, “Strong Bearish Trend”) 10. Gauge bar visually representing score magnitude • All rows always present; size_opt (Normal, Small, Tiny) only changes text size via text_size, not which elements appear. This ensures full transparency. ________________________________________ ## 4. What Makes This Indicator Stand Out • Regime-Weighted Multi-Factor Score: Trend and momentum signals are adaptively weighted by market regime (trending vs. ranging) , reducing false signals. • Magnitude Scaling: VWMA and ATR breakout contributions are normalized by recent average momentum or ATR, giving finer gradation compared to simple ±1. • Integrated Divergence Penalty: Divergence directly adjusts the aggregated score rather than appearing as a separate subplot; this influences alerts and trend labeling in real time. • Confidence Meter: Shows the percentage of sub-signals in agreement, providing transparency and preventing blind trust in a single metric. • Δ Score Histogram Momentum View: A histogram highlights acceleration or deceleration of the aggregated trend score, helping detect shifts early. • Flexible Dashboard: Always-visible component statuses and summary metrics in one place; text size scaling keeps the full picture available in cramped layouts. • Lookahead-Safe HTF Confirmation: Uses lookahead_off so no future data is accessed from higher timeframes, avoiding repaint bias. • Repaint Transparency: Divergence detection uses pivot functions that inherently confirm only after lookback bars; description documents this lag so users understand how and when divergence labels appear. • Open-Source & Educational: Full, well-commented Pine v6 code is provided; users can learn from its structure: manual ADX computation, conditional plotting with series = show ? value : na, efficient use of table.new in barstate.islast, and grouped inputs with tooltips. • Compliance-Conscious: All plots have descriptive titles; inputs use clear names; no unnamed generic “Plot” entries; manual ADX uses RMA; all request.security calls use lookahead_off. Code comments mention repaint behavior and limitations. ________________________________________ ## 5. Recommended Timeframes & Tuning • Any Timeframe: The indicator works on small (e.g., 1m) to large (daily, weekly) timeframes. However: o On very low timeframes (<1m or tick charts), noise may produce frequent whipsaws. Consider increasing smoothing lengths, disabling certain components (e.g., volume spike if volume data noisy), or using a larger pivot lookback for divergence. o On higher timeframes (daily, weekly), consider longer lookbacks for ATR breakout or divergence, and set Higher-Timeframe trend appropriately (e.g., 4H HTF when on 5 Min chart). • Defaults & Experimentation: Default input values are chosen to be balanced for many liquid markets. Users should test with replay or historical analysis on their symbol/timeframe and adjust: o ADX threshold (e.g., 20–30) based on instrument volatility. o VWMA and ATR scaling lengths to match average volatility cycles. o Pivot lookback for divergence: shorter for faster markets, longer for slower ones. • Combining with Other Analysis: Use in conjunction with price action, support/resistance, candlestick patterns, order flow, or other tools as desired. The aggregated score and alerts can guide attention but should not be the sole decision-factor. ________________________________________ ## 6. How Scoring and Logic Works (Step-by-Step) 1. Compute Sub-Scores o EMA Cross: Evaluate fast EMA > slow EMA ? +1 : fast EMA < slow EMA ? -1 : 0. o VWMA Momentum: Calculate vwma = ta.vwma(close, length), then vwma_mom = vwma - vwma . Normalize: divide by recent average absolute momentum (e.g., ta.sma(abs(vwma_mom), lookback)), clip to . o Volume Spike: Compute vol_SMA = ta.sma(volume, len). If volume > vol_SMA * multiplier AND price moved up ≥ threshold%, assign +1; if moved down ≥ threshold%, assign -1; else 0. o ATR Breakout: Determine recent high/low over lookback. If close > high + ATR*mult, compute distance = close - (high + ATR*mult), normalize by ATR, cap at a configured maximum. Assign positive contribution. Similarly for bearish breakout below low. o Higher-Timeframe Trend: Use request.security(..., lookahead=barmerge.lookahead_off) to fetch HTF EMAs; assign +1 or -1 based on alignment. 2. ADX Regime Weighting o Compute manual ADX: directional movements (+DM, –DM), smoothed via RMA, DI+ and DI–, then DX and ADX via RMA. If ADX ≥ threshold, market is considered “Trending”; otherwise “Ranging.” o If trending, trend-based contributions (EMA, VWMA, ATR, HTF) use full weight = 1.0. If ranging, use weight = ranging_weight (e.g., 0.5) to down-weight them. Volume spike stays binary ±1 (optional to change if desired). 3. Aggregate Raw Score o Sum weighted contributions of all enabled components. Count the number of enabled components; if zero, default count = 1 to avoid division by zero. 4. Divergence Penalty o Detect pivot highs/lows on price and corresponding RSI values, using a lookback. When price and RSI diverge (bearish or bullish divergence), check if current raw score is in the opposing direction:  If bearish divergence (price higher high, RSI lower high) and raw score currently positive, subtract a penalty (e.g., 0.5).  If bullish divergence (price lower low, RSI higher low) and raw score currently negative, add a penalty. o This reduces score magnitude to reflect weakening momentum, without flipping the trend outright. 5. Normalize and Smooth o Normalized score = (raw_score / number_of_enabled_components) * 100. This yields a roughly range. o Optional EMA smoothing of this normalized score to reduce noise. 6. Interpretation o Sign: >0 = net bullish bias; <0 = net bearish bias; near zero = neutral. o Magnitude Zones: Compare |score| to thresholds (Weak, Medium, Strong) to label trend strength (e.g., “Weak Bullish Trend”, “Medium Bearish Trend”, “Strong Bullish Trend”). o Δ Score Histogram: The histogram bars from zero show change from previous bar’s score; positive bars indicate acceleration, negative bars indicate deceleration. o Confidence: Percentage of sub-indicators aligned with the score’s sign. o Regime: Indicates whether trend-based signals are fully weighted or down-weighted. ________________________________________ ## 7. Oscillator Plot & Visualization: How to Read It Main Score Line & Area The oscillator plots the aggregated score as a line, with colored fill: green above zero for bullish area, red below zero for bearish area. Horizontal reference lines at ±Weak, ±Medium, and ±Strong thresholds mark zones: crossing above +Weak suggests beginning of bullish bias, above +Medium for moderate strength, above +Strong for strong trend; similarly for bearish below negative thresholds. Δ Score Histogram If enabled, a histogram shows score - score . When positive, bars appear in green above zero, indicating accelerating bullish momentum; when negative, bars appear in red below zero, indicating decelerating or reversing momentum. The height of each bar reflects the magnitude of change in the aggregated score from the prior bar. Divergence Highlight Fill If enabled, when a pivot-based divergence is confirmed: • Bullish Divergence : fill the area below zero down to –Weak threshold in green, signaling potential reversal from bearish to bullish. • Bearish Divergence : fill the area above zero up to +Weak threshold in red, signaling potential reversal from bullish to bearish. These fills appear with a lag equal to pivot lookback (the number of bars needed to confirm the pivot). They do not repaint after confirmation, but users must understand this lag. Trend Direction Label When score crosses above or below the Weak threshold, a small label appears near the score line reading “Bullish” or “Bearish.” If the score returns within ±Weak, the label “Neutral” appears. This helps quickly identify shifts at the moment they occur. Dashboard Panel In the indicator pane’s top-right, a table shows: 1. EMA Cross status: “Bull”, “Bear”, “Flat”, or “Disabled” 2. VWMA Momentum status: similarly 3. Volume Spike status: “Bull”, “Bear”, “No”, or “Disabled” 4. ATR Breakout status: “Bull”, “Bear”, “No”, or “Disabled” 5. Higher-Timeframe Trend status: “Bull”, “Bear”, “Flat”, or “Disabled” 6. Score: numeric value (rounded) 7. Confidence: e.g., “80%” (colored: green for high, amber for medium, red for low) 8. Regime: “Trending” or “Ranging” (colored accordingly) 9. Trend Strength: textual label based on magnitude (e.g., “Medium Bullish Trend”) 10. Gauge: a bar of blocks representing |score|/100 All rows remain visible at all times; changing Dashboard Size only scales text size (Normal, Small, Tiny). ________________________________________ ## 8. Example Usage (Illustrative Scenario) Example: BTCUSD 5 Min 1. Setup: Add “Trend Gauge ” to your BTCUSD 5 Min chart. Defaults: EMAs (8/21), VWMA 14 with lookback 3, volume spike settings, ATR breakout 14/5, HTF = 5m (or adjust to 4H if preferred), ADX threshold 25, ranging weight 0.5, divergence RSI length 14 pivot lookback 5, penalty 0.5, smoothing length 3, thresholds Weak=20, Medium=50, Strong=80. Dashboard Size = Small. 2. Trend Onset: At some point, price breaks above recent high by ATR multiple, volume spikes upward, faster EMA crosses above slower EMA, HTF EMA also bullish, and ADX (manual) ≥ threshold → aggregated score rises above +20 (Weak threshold) into +Medium zone. Dashboard shows “Bull” for EMA, VWMA, Vol Spike, ATR, HTF; Score ~+60–+70; Confidence ~100%; Regime “Trending”; Trend Strength “Medium Bullish Trend”; Gauge ~6–7 blocks. Δ Score histogram bars are green and rising, indicating accelerating bullish momentum. Trader notes the alignment. 3. Divergence Warning: Later, price makes a slightly higher high but RSI fails to confirm (lower RSI high). Pivot lookback completes; the indicator highlights a bearish divergence fill above zero and subtracts a small penalty from the score, causing score to stall or retrace slightly. Dashboard still bullish but score dips toward +Weak. This warns the trader to tighten stops or take partial profits. 4. Trend Weakens: Score eventually crosses below +Weak back into neutral; a “Neutral” label appears, and a “Neutral Trend” alert fires if enabled. Trader exits or avoids new long entries. If score subsequently crosses below –Weak, a “Bearish” label and alert occur. 5. Customization: If the trader finds VWMA noise too frequent on this instrument, they may disable VWMA or increase lookback. If ATR breakouts are too rare, adjust ATR length or multiplier. If ADX threshold seems off, tune threshold. All these adjustments are explained in Inputs section. 6. Visualization: The screenshot shows the main score oscillator with colored areas, reference lines at ±20/50/80, Δ Score histogram bars below/above zero, divergence fill highlighting potential reversal, and the dashboard table in the top-right. ________________________________________ ## 9. Inputs Explanation A concise yet clear summary of inputs helps users understand and adjust: 1. General Settings • Theme (Dark/Light): Choose background-appropriate colors for the indicator pane. • Dashboard Size (Normal/Small/Tiny): Scales text size only; all dashboard elements remain visible. 2. Indicator Settings • Enable EMA Cross: Toggle on/off basic EMA alignment check. o Fast EMA Length and Slow EMA Length: Periods for EMAs. • Enable VWMA Momentum: Toggle VWMA momentum check. o VWMA Length: Period for VWMA. o VWMA Momentum Lookback: Bars to compare VWMA to measure momentum. • Enable Volume Spike: Toggle volume spike detection. o Volume SMA Length: Period to compute average volume. o Volume Spike Multiplier: How many times above average volume qualifies as spike. o Min Price Move (%): Minimum percent change in price during spike to qualify as bullish or bearish. • Enable ATR Breakout: Toggle ATR breakout detection. o ATR Length: Period for ATR. o Breakout Lookback: Bars to look back for recent highs/lows. o ATR Multiplier: Multiplier for breakout threshold. • Enable Higher Timeframe Trend: Toggle HTF EMA alignment. o Higher Timeframe: E.g., “5” for 5-minute when on 1-minute chart, or “60” for 5 Min when on 15m, etc. Uses lookahead_off. • Enable ADX Regime Filter: Toggles regime-based weighting. o ADX Length: Period for manual ADX calculation. o ADX Threshold: Value above which market considered trending. o Ranging Weight Multiplier: Weight applied to trend components when ADX < threshold (e.g., 0.5). • Scale VWMA Momentum: Toggle normalization of VWMA momentum magnitude. o VWMA Mom Scale Lookback: Period for average absolute VWMA momentum. • Scale ATR Breakout Strength: Toggle normalization of breakout distance by ATR. o ATR Scale Cap: Maximum multiple of ATR used for breakout strength. • Enable Price-RSI Divergence: Toggle divergence detection. o RSI Length for Divergence: Period for RSI. o Pivot Lookback for Divergence: Bars on each side to identify pivot high/low. o Divergence Penalty: Amount to subtract/add to score when divergence detected (e.g., 0.5). 3. Score Settings • Smooth Score: Toggle EMA smoothing of normalized score. • Score Smoothing Length: Period for smoothing EMA. • Weak Threshold: Absolute score value under which trend is considered weak or neutral. • Medium Threshold: Score above Weak but below Medium is moderate. • Strong Threshold: Score above this indicates strong trend. 4. Visualization Settings • Show Δ Score Histogram: Toggle display of the bar-to-bar change in score as a histogram. Default true. • Show Divergence Fill: Toggle background fill highlighting confirmed divergences. Default true. Each input has a tooltip in the code. ________________________________________ ## 10. Limitations, Repaint Notes, and Disclaimers 10.1. Repaint & Lag Considerations • Pivot-Based Divergence Lag: The divergence detection uses ta.pivothigh / ta.pivotlow with a specified lookback. By design, a pivot is only confirmed after the lookback number of bars. As a result: o Divergence labels or fills appear with a delay equal to the pivot lookback. o Once the pivot is confirmed and the divergence is detected, the fill/label does not repaint thereafter, but you must understand and accept this lag. o Users should not treat divergence highlights as predictive signals without additional confirmation, because they appear after the pivot has fully formed. • Higher-Timeframe EMA Alignment: Uses request.security(..., lookahead=barmerge.lookahead_off), so no future data from the higher timeframe is used. This avoids lookahead bias and ensures signals are based only on completed higher-timeframe bars. • No Future Data: All calculations are designed to avoid using future information. For example, manual ADX uses RMA on past data; security calls use lookahead_off. 10.2. Market & Noise Considerations • In very choppy or low-liquidity markets, some components (e.g., volume spikes or VWMA momentum) may be noisy. Users can disable or adjust those components’ parameters. • On extremely low timeframes, noise may dominate; consider smoothing lengths or disabling certain features. • On very high timeframes, pivots and breakouts occur less frequently; adjust lookbacks accordingly to avoid sparse signals. 10.3. Not a Standalone Trading System • This is an indicator, not a complete trading strategy. It provides signals and context but does not manage entries, exits, position sizing, or risk management. • Users must combine it with their own analysis, money management, and confirmations (e.g., price patterns, support/resistance, fundamental context). • No guarantees: past behavior does not guarantee future performance. 10.4. Disclaimers • Educational Purposes Only: The script is provided as-is for educational and informational purposes. It does not constitute financial, investment, or trading advice. • Use at Your Own Risk: Trading involves risk of loss. Users should thoroughly test and use proper risk management. • No Guarantees: The author is not responsible for trading outcomes based on this indicator. • License: Published under Mozilla Public License 2.0; code is open for viewing and modification under MPL terms. ________________________________________ ## 11. Alerts • The indicator defines three alert conditions: 1. Bullish Trend: when the aggregated score crosses above the Weak threshold. 2. Bearish Trend: when the score crosses below the negative Weak threshold. 3. Neutral Trend: when the score returns within ±Weak after being outside. Good luck – BullByte
Pine Script® göstergesi
BullByte tarafından
3
Donchian Trend Ranges [AlgoAlpha]🚀🔗 Donchian Trend Ranges 🔗🚀 Elevate your trading game with the Donchian Trend Ranges indicator from AlgoAlpha! 🌟📈 This advanced tool helps you visualize market trends and potential reversal points using Donchian channels, volatility measures, and average true range (ATR). Key Features ⚙️ Customizable Parameters: Adjust the lookback period and range multiplier to fit your trading style. 🎨 Color-Coded Trends: Easily distinguish between uptrends and downtrends with customizable colors. 📊 Dynamic Channels: Visualize multiple dynamic channels based on Donchian ranges and volatility. ☁️ Trend Clouds: See market strength and weakness with upper and lower trend clouds. 🔔 Signal Alerts: Get notified of potential trend shifts and take profit points. How to Use 🛠 Add the Indicator: Add the indicator to favorites. Customize settings such as the lookback period and range multiplier to match your trading needs. 🔍 Analyze Trends: The indicator calculates the highest and lowest prices over a specified period to create dynamic channels. It then uses standard deviation and ATR to adjust these channels for market volatility, plotting upper and lower ranges. Green bars indicate an up trend and red bars for a down trend. 🔔 Set Alerts: Enable notifications for bullish and bearish trend shifts, as well as weak and strong take profit points, ensuring you never miss an opportunity. How it Works The Donchian Trend Ranges indicator calculates the highest and lowest prices over a specified period to create a basis line. It creates a range around the basis based on standard deviations and the clouds' width is determined by a 14 period ATR. The basis line and bar colors changes based on whether the closing price is above or below it, indicating trends. Clouds around these lines represent market reversal zones that can be used as entry levels when used in confluence with momentum indicators, visual signals ("X" and "◆") marking strong and weak take profit points are also printed when the prices revert from the clouds towards the basis. Integrated alerts notify you of significant events like trend shifts and take profit signals, keeping you informed without constant monitoring. Unleash the power of the Donchian Trend Ranges in your trading strategy! 🌐📈✨
Pine Script® göstergesi
AlgoAlpha tarafından
7
Power Trend [MacAlgo]Description: The Power Trend Indicator is a sophisticated technical analysis tool that overlays on your trading charts to identify prevailing market trends. It utilizes a combination of ATR-based trend calculations, moving averages, volume analysis, and momentum indicators to generate reliable buy and sell signals. Additionally, it offers customizable settings to adapt to various trading styles and timeframes. Key Features: Adaptive ATR Calculation: Automatically adjusts the ATR (Average True Range) period and multiplier based on the selected timeframe for more accurate trend detection. Dynamic Trend Lines: Plots continuous trend lines with color-coded bars to visually represent bullish and bearish trends. Buy/Sell Signals: Generates standard and power buy/sell signals to help you make informed trading decisions. Volume Analysis: Incorporates average buy and sell volumes to identify strong market movements. Multiple Timeframe Support: Automatically adjusts the indicator's timeframe or allows for manual selection to suit your trading preferences. Highlighting: Highlights trending bars for easy visualization of market conditions. Alerts: Customizable alert conditions to notify you of potential trading opportunities in real-time. How it Works: 1. ATR-Based Trend Calculation: ATR Period & Multiplier: Calculates ATR based on user-defined periods and multipliers, dynamically adjusting according to the chart's timeframe. Trend Determination: Identifies trends as bullish (1) or bearish (-1) based on price movements relative to ATR-based upper (up) and lower (dn) trend lines. 2. Moving Averages: EMA & SMA: Calculates exponential and simple moving averages to smooth price data and identify underlying trends. AlphaTrend Line: Combines a 50-period EMA and a 30-period SMA on a 4-hour timeframe to create the AlphaTrend line, providing a robust trend reference. 3. Volume Analysis: Buy/Sell Volume: Differentiates between buy and sell volumes to gauge market strength. Average Volume: Compares current volume against average buy/sell volumes to detect significant market movements. 4. Momentum Indicators: RSI, MACD, OBV: Incorporates Relative Strength Index (RSI), Moving Average Convergence Divergence (MACD), and On-Balance Volume (OBV) to assess momentum and confirm trend strength. 5. Signal Generation: Standard Signals: Basic buy and sell signals based on trend crossovers. Power Signals: Enhanced signals requiring multiple conditions (e.g., increased volume, momentum confirmation) for higher confidence trades. Customization Options: Tailor the Power Trend Indicator to your specific trading needs with the following settings: ATR Period: Set the period for ATR calculation (default: 8). ATR Multiplier: Adjust the ATR multiplier to fine-tune trend sensitivity (default: 3.0). Source: Choose the price source (e.g., HL2, Close) for calculations. Change ATR Calculation Method: Toggle between different ATR calculation methods. Show Buy/Sell Signals: Enable or disable the display of buy and sell signals on the chart. Highlighting: Turn on or off the bar highlighting feature. Timeframe Adjustment: Choose between automatic timeframe adjustment or manually set the indicator's timeframe. Manual Indicator Timeframe: If manual adjustment is selected, specify the desired timeframe (default: 60 minutes). Visual Components: Trend Lines: Continuous lines representing the current trend, color-coded for easy identification (green for bullish, red for bearish, orange for neutral). Bar Coloring: Bars are colored based on the current trend and its relationship to the AlphaTrend line. Buy/Sell Triangles: Triangular markers appear on the chart to indicate buy and sell signals. Power Signals: Larger triangles highlight strong buy and sell opportunities based on multiple confirming factors. Highlighting: Transparent overlays highlight trending areas to enhance visual clarity. Alerts: Stay informed with customizable alerts that notify you of important market movements: SuperTrend Buy/Sell: Alerts when standard buy or sell signals are generated. Power Buy/Sell Alerts: Notifications for strong buy or sell signals based on comprehensive conditions. Trend Direction Change: Alerts when the trend changes from bullish to bearish or vice versa. How to Use: Add to Chart: Apply the Power Trend Indicator to your preferred trading chart on TradingView. Configure Settings: Adjust the input parameters to match your trading style and the timeframe you are analyzing. Analyze Trends: Observe the trend lines, bar colors, and AlphaTrend line to understand the current market trend. Follow Signals: Look for buy and sell signals or power signals to identify potential entry and exit points. Set Alerts: Enable alerts to receive real-time notifications of significant trading opportunities. Adjust as Needed: Fine-tune the settings based on market conditions and your trading experience. Important Notes: Backtesting: While the Power Trend Indicator is built using robust technical analysis principles, it's essential to backtest and validate its performance within your trading strategy. Market Conditions: The indicator performs best in trending markets. In sideways or highly volatile markets, signal reliability may vary. Risk Management: Always employ proper risk management techniques when trading based on indicator signals to protect your capital. Disclaimer: This indicator is intended for educational purposes only and does not provide financial advice or guarantee future performance. Trading involves risk, and past results are not indicative of future outcomes. Always conduct your own analysis and risk management.
Pine Script® göstergesi
MacAlgo tarafından
Cross-Asset Correlation Trend IndicatorCross-Asset Correlation Trend Indicator This indicator uses correlations between the charted asset and ten others to calculate an overall trend prediction. Each ticker is configurable, and by analyzing the trend of each asset, the indicator predicts an average trend for the main asset on the chart. The strength of each asset's trend is weighted by its correlation to the charted asset, resulting in a single average trend signal. This can be a rather robust and effective signal, though it is often slow. Functionality Overview : The Cross-Asset Correlation Trend Indicator calculates the average trend of a charted asset based on the correlation and trend of up to ten other assets. Each asset is assigned a trend signal using a simple EMA crossover method (two customizable EMAs). If the shorter EMA crosses above the longer one, the asset trend is marked as positive; if it crosses below, the trend is negative. Each trend is then weighted by the correlation coefficient between that asset’s closing price and the charted asset’s closing price. The final output is an average weighted trend signal, which combines each trend with its respective correlation weight. Input Parameters : EMA 1 Length : Sets the period of the shorter EMA used to determine trends. EMA 2 Length : Sets the period of the longer EMA used to determine trends. Correlation Length : Defines the lookback period used for calculating the correlation between the charted asset and each of the other selected assets. Asset Tickers : Each of the ten tickers is configurable, allowing you to set specific assets to analyze correlations with the charted asset. Show Trend Table : Toggle to show or hide a table with each asset’s weighted trend. The table displays green, red, or white text for each weighted trend, indicating positive, negative, or neutral trends, respectively. Table Position : Choose the position of the trend table on the chart. Recommended Use : As always, it’s essential to backtest the indicator thoroughly on your chosen asset and timeframe to ensure it aligns with your strategy. Feel free to modify the input parameters as needed—while the defaults work well for me, they may need adjustment to better suit your assets, timeframes, and trading style. As always, I wish you the best of luck and immense fortune as you develop your systems. May this indicator help you make well-informed, profitable decisions!
Pine Script® göstergesi
nathanfarmer tarafından
3
Trendlines (long)Hi all! I hope that this indicator helps you to be a more efficient trader. The concept is well known and useful. So this is not some magic algorithm founded by me, but rather a well known concept. The concept is the drawing of trendlines. It draws trendlines that has a retest. It draws the trendlines in different colors, the colors used are blue, red, fuchsia and lime. These are the steps for finding a trendline: 1. Find a generic retest Find a low that has 2 earlier lows and 1 later low that are higher. This is the reason that a trendline will be created "1 bar late". This is the base and the indicator goes on from here, meaning that this needs to be true to continue. 2. Find an uptrend Look back 8 bars to find a low that is lower than the retest low. 3. Create the first point of a trendline Go thru every bar between the user defined "Lookback" and the retest bar (minus the user defined "Skip gap" that's needed between points to create a trendline). From the earliest bar to the latest. 4. Create the second point of the trendline Go thru every bar between the retest bar and the the first point (bar) minus the "Skip gap". From latest bar to the earliest. A trendline between the two bars are invalidated if some of the criteria are met in-between the bars creating the trendline: - closed above the trendline (trendline broken) - is not within the retest bar - the slope of the trendline is upwards (this indicator is for long entries only) - at least 1 of the bars creating the retest (1 main bar and 2 earlier bars) has NOT been above the trendline - is not the created trendline (between the two points) that's closest to the low of the retest bar TODO: - add functionality to draw trendlines directly on breakouts - add volume (high volume needed to create a trendline from a breakout/retest) - ...? I hope this explanation makes sense, let me know otherwise. Also let me know if you have any suggestions on improvements. Best of luck trading!
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mickes tarafından
2
Trend Channels (MTF) | Flux Charts💎 GENERAL OVERVIEW Introducing our new Trend Channels (MTF) indicator! Latest trends play an important role for traders and sometimes it can be hard to spot trends in other timeframes. This indicator can plot latest trend channels across different timeframes, so you can spot trends and their channels easier. More info about the process in the "How Does It Work" section. Features of the new Trend Channels (MTF) indicator : Plot Trend Channels Across Up To 3 Different Timeframes Broad Customizability Of Trend Detection Variety Of Trend Invalidation Options High Visual Customizability 🚩UNIQUENESS While the detection of trend channels is a common concept among traders, trend channels across different timeframes can be as crucial as the ones in the current timeframe. This indicator can find them from up to 3 different timeframes. While the general settings will perform well enough most of the time, the indicator also provides fine-tuning options for trend detection and trend invalidation for more experienced traders. 📌 HOW DOES IT WORK ? Trend channels occur when the price of an asset starts making a strong movement in a bullish or a bearish direction. This indicator detects trend channels using the Simple Moving Average (SMA). When the slope of the SMA line exceeds the user-defined size, a trend channel will occur. To understand how individual settings work, you can check the "⚙️SETTINGS" section. ⚙️SETTINGS 1. General Configuration SMA Length -> Determines the length used in the SMA function. Higher values mean that an average of a longer timespan will be taken into account when spotting trends. Slope Length -> Used while finding the slope of the trend channel. Check this example for slope length : ATR Size -> This setting is taken into calculation while checking if a trend channel is worth plotting. The higher this setting is, the higher the slope of the trend channel must be to get rendered. You can take a look at the chart provided above for a visual explanation. Channel Expander -> When a trend channel occurs, the top and the bottom of the channel are initally determined by the latest highest highs / lowest lows. This setting expands the channel vertically by X times Average True Range (ATR). Check this example : Trend Invalidation -> The trend channel gets invalidated when the bar closes / wicks above the top of the channel, or below the bottom of the channel. With this setting, you can switch the behaviour between bar close / bar wick. Avoid False Invalidation -> This setting makes it harder for trend channels to get invalidated to prevent false invalidations. Retries : The trend channel will have 5 chances for invalidation. First 4 invalidations will not invalidate the channel. The trend channel will only invalidate once the 5th invalidation occur. Volume : The bar that invalidates the trend channel must have a volume higher than 1.5x the average bar volume of the current chart. Otherwise the trend channel will not be invalidated. None : The trend channel will invalidate at the first invalidation.
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fluxchart tarafından
5
Trend Change IndicatorThe Trend Change Indicator is an all-in-one, user-friendly trend-following tool designed to identify bullish and bearish trends in asset prices. It features adjustable input values and a built-in alert system that promptly notifies investors of potential shifts in both short-term and long-term price trends. This alert system is crucial for helping less active investors correctly position themselves ahead of major trend shifts and assists in risk management after a trend is established. It's important to note that this indicator is most effective with assets that historically exhibit strong trends. At the heart of this tool is the interaction between the 30-day and 60-day Exponential Moving Averages (EMA). A bullish trend is indicated in green when the 30-day EMA is above the 60-day EMA, while a bearish trend is signaled in red when the 30-day EMA is below the 60-day EMA. The appearance of gray alerts users to potential shifts in the current trend as the EMAs converge, falling below the Average True Range (ATR) safety margin. This analysis is conducted across both hourly and daily timeframes, with the 4-hour timeframe providing early signals for daily trend changes. The band visually represents the interaction between the daily EMAs and is also displayed in the second row of the table, with the first row showing the same EMA interaction on the 4-hour timeframe. This indicator also includes a 140-day (20-week) Simple Moving Average (SMA), visually represented by a line with predictive dots. This feature significantly enhances the investor's ability to understand long-term trends in asset prices, offering forward-looking insights by projecting the SMA value 10 days into the future. The value of this forecast lies in interpreting the slope of the dots; upward trending dots suggest a bullish underlying trend, while downward trending dots indicate a bearish trend. Generally, prices above the SMA signal bullishness, and prices below indicate bearishness. In summary, the Trend Change Indicator is a comprehensive solution for identifying price trends and managing risk. Its intuitive, color-coded design makes it an indispensable tool for traders and investors who aim to be well-positioned ahead of trend shifts and manage risk once a trend has been established. While it has proven historically valuable in trending markets such as cryptocurrencies, tech stocks, and commodities, it is advisable to use this indicator in conjunction with other technical analysis tools for a more comprehensive and well-rounded decision-making process.
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QuantitativeAlpha tarafından
14