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Pivot HL+50 EMA Hariss 369A simple indicator detects pivot highs and lows. Buy signal is fired when pivot high crosses and closes over previous pivot high and price is above 50 EMA in order to trade with trend. Sell signal is fired when pivot low crosses and closes below the previous pivot low and price is below 50 EMA. It is very simple to use this and one can visualize the trend with this indicator. It can be used for any type of asset and in any time frame.
อินดิเคเตอร์ Pine Script®
โดย Hariss369
4
Trend Trader//@version=6 indicator("Trend Trader", shorttitle="Trend Trader", overlay=true) // User-defined input for moving averages shortMA = input.int(10, minval=1, title="Short MA Period") longMA = input.int(100, minval=1, title="Long MA Period") // User-defined input for the instrument selection instrument = input.string("US30", title="Select Instrument", options= ) // Set target values based on selected instrument target_1 = instrument == "US30" ? 50 : instrument == "NDX100" ? 25 : instrument == "GER40" ? 25 : instrument == "GOLD" ? 5 : 5 // default value target_2 = instrument == "US30" ? 100 : instrument == "NDX100" ? 50 : instrument == "GER40" ? 50 : instrument == "GOLD" ? 10 : 10 // default value // User-defined input for the start and end times with default values startTimeInput = input.int(12, title="Start Time for Session (UTC, in hours)", minval=0, maxval=23) endTimeInput = input.int(17, title="End Time Session (UTC, in hours)", minval=0, maxval=23) // Convert the input hours to minutes from midnight startTime = startTimeInput * 60 endTime = endTimeInput * 60 // Function to convert the current exchange time to UTC time in minutes toUTCTime(exchangeTime) => exchangeTimeInMinutes = exchangeTime / 60000 // Adjust for UTC time utcTime = exchangeTimeInMinutes % 1440 utcTime // Get the current time in UTC in minutes from midnight utcTime = toUTCTime(time) // Check if the current UTC time is within the allowed timeframe isAllowedTime = (utcTime >= startTime and utcTime < endTime) // Calculating moving averages shortMAValue = ta.sma(close, shortMA) longMAValue = ta.sma(close, longMA) // Plotting the MAs plot(shortMAValue, title="Short MA", color=color.blue) plot(longMAValue, title="Long MA", color=color.red) // MACD calculation for 15-minute chart = request.security(syminfo.tickerid, "15", ta.macd(close, 12, 26, 9)) macdColor = macdLine > signalLine ? color.new(color.green, 70) : color.new(color.red, 70) // Apply MACD color only during the allowed time range bgcolor(isAllowedTime ? macdColor : na) // Flags to track if a buy or sell signal has been triggered var bool buyOnce = false var bool sellOnce = false // Tracking buy and sell entry prices var float buyEntryPrice_1 = na var float buyEntryPrice_2 = na var float sellEntryPrice_1 = na var float sellEntryPrice_2 = na if not isAllowedTime buyOnce :=false sellOnce :=false // Logic for Buy and Sell signals buySignal = ta.crossover(shortMAValue, longMAValue) and isAllowedTime and macdLine > signalLine and not buyOnce sellSignal = ta.crossunder(shortMAValue, longMAValue) and isAllowedTime and macdLine <= signalLine and not sellOnce // Update last buy and sell signal values if (buySignal) buyEntryPrice_1 := close buyEntryPrice_2 := close buyOnce := true if (sellSignal) sellEntryPrice_1 := close sellEntryPrice_2 := close sellOnce := true // Apply background color for entry candles barcolor(buySignal or sellSignal ? color.yellow : na) /// Creating buy and sell labels if (buySignal) label.new(bar_index, low, text="BUY", style=label.style_label_up, color=color.green, textcolor=color.white, yloc=yloc.belowbar) if (sellSignal) label.new(bar_index, high, text="SELL", style=label.style_label_down, color=color.red, textcolor=color.white, yloc=yloc.abovebar) // Creating labels for 100-point movement if (not na(buyEntryPrice_1) and close >= buyEntryPrice_1 + target_1) label.new(bar_index, high, text=str.tostring(target_1), style=label.style_label_down, color=color.green, textcolor=color.white, yloc=yloc.abovebar) buyEntryPrice_1 := na // Reset after label is created if (not na(buyEntryPrice_2) and close >= buyEntryPrice_2 + target_2) label.new(bar_index, high, text=str.tostring(target_2), style=label.style_label_down, color=color.green, textcolor=color.white, yloc=yloc.abovebar) buyEntryPrice_2 := na // Reset after label is created if (not na(sellEntryPrice_1) and close <= sellEntryPrice_1 - target_1) label.new(bar_index, low, text=str.tostring(target_1), style=label.style_label_up, color=color.red, textcolor=color.white, yloc=yloc.belowbar) sellEntryPrice_1 := na // Reset after label is created if (not na(sellEntryPrice_2) and close <= sellEntryPrice_2 - target_2) label.new(bar_index, low, text=str.tostring(target_2), style=label.style_label_up, color=color.red, textcolor=color.white, yloc=yloc.belowbar) sellEntryPrice_2 := na // Reset after label is created
อินดิเคเตอร์ Pine Script®
โดย Renbrandt2023
Grok/Claude Quantum Signal Pro * Enhanced v2# QSig Pro+ v2 — Dynamic RSI Enhancement ## Release: Quantum Signal Pro Enhanced v2 **Author:** ralis24 (with Claude assistance) **Version:** 2.0 **Platform:** TradingView (Pine Script v6) --- ## Overview Version 2 introduces **Trend-Adaptive RSI Thresholds** — a significant enhancement that dynamically adjusts buy and sell levels based on real-time trend strength. This allows the indicator to more effectively capture dips in uptrends and sell bounces in downtrends, rather than waiting for extreme oversold/overbought conditions that rarely occur during strong directional moves. --- ## The Problem v2 Solves In the original QSig Pro+, RSI thresholds were fixed at 30 (oversold) and 70 (overbought). While these levels work well in ranging markets, they create issues in trending conditions: - **Strong Uptrends:** Price rarely drops to RSI 30. Pullbacks typically bottom around RSI 40-50, causing missed buy opportunities. - **Strong Downtrends:** Relief rallies rarely push RSI above 70. Bounces often exhaust around RSI 55-65, causing missed sell opportunities. The v2 solution: **Let the market's trend strength dictate the appropriate RSI levels.** --- ## New Feature: Dynamic RSI Thresholds ### How It Works The indicator now detects three distinct market states and applies corresponding RSI thresholds: | Market State | Detection Criteria | RSI Buy Level | RSI Sell Level | |--------------|-------------------|---------------|----------------| | **Strong Uptrend** | +DI > -DI, ADX > 24, ADX rising | < 40 | > 80 | | **Strong Downtrend** | -DI > +DI, ADX > 24, ADX rising | < 20 | > 60 | | **Neutral/Ranging** | ADX < 24 or ADX falling | < 30 | > 70 | ### Trend State Detection Logic ``` Strong Uptrend = (+DI > -DI) AND (ADX > threshold) AND (ADX > ADX ) Strong Downtrend = (-DI > +DI) AND (ADX > threshold) AND (ADX > ADX ) Neutral = Neither condition met ``` ### Anti-Whipsaw Protection To prevent rapid switching between threshold sets during choppy transitions, a **confirmation buffer** requires the trend state to persist for a configurable number of bars (default: 2) before the indicator switches regimes. --- ## New Input Parameters A new input group "**Dynamic RSI Thresholds**" has been added with the following settings: | Parameter | Default | Range | Description | |-----------|---------|-------|-------------| | Enable Trend-Adaptive RSI Levels | ON | toggle | Master switch for the feature | | ADX Strong Trend Threshold | 24 | 15-40 | ADX must exceed this to qualify as "strong" trend | | ADX Rising Lookback (bars) | 3 | 1-10 | ADX must be higher than N bars ago to confirm rising | | Trend Confirmation Bars | 2 | 1-5 | Bars trend must persist before switching thresholds | | RSI Buy Level (Strong Uptrend) | 40 | 30-55 | Oversold threshold during confirmed uptrends | | RSI Sell Level (Strong Uptrend) | 80 | 70-90 | Overbought threshold during confirmed uptrends | | RSI Buy Level (Strong Downtrend) | 20 | 10-30 | Oversold threshold during confirmed downtrends | | RSI Sell Level (Strong Downtrend) | 60 | 50-70 | Overbought threshold during confirmed downtrends | | RSI Buy Level (Neutral/Ranging) | 30 | 20-40 | Standard oversold threshold | | RSI Sell Level (Neutral/Ranging) | 70 | 60-80 | Standard overbought threshold | --- ## Enhanced Info Panel The information panel now displays two new rows: 1. **Trend State** — Shows current regime: "STRONG UP" (green), "STRONG DOWN" (red), or "NEUTRAL" (gray) 2. **RSI Levels** — Displays the currently active thresholds (e.g., "40 / 80" during uptrends) Additionally, the **ADX row** now includes a directional arrow (↑ or ↓) indicating whether ADX is rising or falling. --- ## Enhanced Signal Labels Buy and sell labels on the chart now include contextual information: **Before (v1):** ``` BUY: 97,234.50 ``` **After (v2):** ``` BUY: 97,234.50 STRONG UP | RSI<40 ``` This provides immediate visual confirmation of which threshold regime triggered the signal. --- ## Enhanced Alert System ### New Alert Conditions Three new alerts have been added for trend state changes: - **🔼 Strong Uptrend Started** — Fires when market transitions to strong uptrend (thresholds shift to 40/80) - **🔽 Strong Downtrend Started** — Fires when market transitions to strong downtrend (thresholds shift to 20/60) - **⚖️ Trend Neutralized** — Fires when trend weakens and thresholds reset to 30/70 ### Enhanced Webhook JSON The JSON alert payload now includes additional fields for bot integration: ```json { "action": "BUY", "symbol": "BTC/USDT", "price": "97234.50", "rsi": "38.5", "rsi_threshold": "40", "adx": "28.3", "fisher": "-1.87", "trend_state": "STRONG UP" } ``` --- ## Bonus Enhancement: Dynamic Fisher Thresholds As an additional refinement, the Fisher Transform thresholds now adjust slightly based on trend state: | Trend State | Fisher Buy Level | Fisher Sell Level | |-------------|------------------|-------------------| | Strong Uptrend | -1.5 (loosened) | -2.0 (standard) | | Strong Downtrend | -2.0 (standard) | +1.5 (loosened) | | Neutral | -2.0 (standard) | +2.0 (standard) | This allows the indicator to trigger signals in strong trends where momentum oscillators rarely reach extreme levels. --- ## Practical Trading Impact ### Strong Uptrend Example (BTC rally) - **Before:** Waiting for RSI < 30 means missing most pullback entries - **After:** RSI < 40 triggers buy signals on normal pullbacks within the trend ### Strong Downtrend Example (Bear market bounce) - **Before:** Waiting for RSI > 70 means holding through entire relief rallies - **After:** RSI > 60 triggers sell signals on bounce exhaustion ### Ranging Market - Thresholds remain at traditional 30/70 levels where mean reversion works best --- ## Backward Compatibility The dynamic RSI feature can be completely disabled by turning off "Enable Trend-Adaptive RSI Levels" in the settings. When disabled, the indicator behaves identically to v1 using the neutral threshold values (30/70). --- ## Summary of Changes | Component | v1 | v2 | |-----------|----|----| | RSI Thresholds | Fixed 30/70 | Dynamic based on trend state | | Trend State Detection | Not present | +DI/-DI + ADX + Rising confirmation | | Whipsaw Protection | Not present | Configurable confirmation bars | | Info Panel Rows | 10 | 12 (added Trend State, RSI Levels) | | ADX Display | Value only | Value + direction arrow | | Signal Labels | Price only | Price + Trend State + Threshold | | Alert Conditions | 10 | 13 (added 3 trend state alerts) | | Webhook Fields | 5 | 7 (added rsi_threshold, trend_state) | | Fisher Thresholds | Fixed | Adaptive (subtle adjustment) | --- ## Recommended Settings by Market Type ### Crypto (High Volatility) - ADX Strong Trend Threshold: 24 - RSI Buy (Uptrend): 40-45 - RSI Sell (Downtrend): 55-60 ### Forex (Medium Volatility) - ADX Strong Trend Threshold: 22 - RSI Buy (Uptrend): 38-42 - RSI Sell (Downtrend): 58-62 ### Stocks/Indices (Lower Volatility) - ADX Strong Trend Threshold: 20 - RSI Buy (Uptrend): 35-40 - RSI Sell (Downtrend): 60-65 --- ## Installation 1. Open TradingView and navigate to Pine Editor 2. Remove or rename existing QSig Pro+ indicator 3. Paste the complete v2 code 4. Click "Add to Chart" 5. Configure Dynamic RSI Thresholds in settings as desired --- *QSig Pro+ v2 — Smarter entries through trend-aware signal generation*
อินดิเคเตอร์ Pine Script®
โดย ralis24
Fib Golden RatioDynamic Fib High → Low (0.5 & 0.618) This indicator automatically tracks the current day’s High and Low and plots the key Fibonacci retracement levels 0.5 (50%) and 0.618 (Golden Ratio) based on the live intraday price range. The tool is designed for traders who want simple, clean, and dynamic intraday Fibonacci levels without clutter on the chart. How It Works Detects the start of a new trading day Tracks the highest high and lowest low of the current day Continuously recalculates: Fibonacci 0.5 (Midpoint) Fibonacci 0.618 (Golden Ratio) Plots clean continuous lines across the chart Fib is calculated from High → Low, matching how typical intraday fib tools are visually applied Why This Indicator No drawings to manually adjust No user configuration required Extremely lightweight and fast Automatically adjusts as the day progresses Perfect for identifying intraday mean reversion zones, pullback zones, and reaction levels Ideal Use Cases Intraday directional trading Scalping pullbacks Mean reversion setups Identifying dynamic support/resistance zones Option scalping (CE/PE)
อินดิเคเตอร์ Pine Script®
โดย Ramesh_G
Anchored VWAP + Bands + Signals//@version=5 indicator("Anchored VWAP + Bands + Signals", overlay=true) // ===== INPUTS ===== anchorTime = input.time(timestamp("2025-12-02 00:00"), "Anchor Date/Time") std1 = input.float(1.0, "±1σ Band") std2 = input.float(2.0, "±2σ Band") // ===== VWAP CALCULATION ===== var float cumPV = 0.0 var float cumVol = 0.0 if time >= anchorTime cumPV += close * volume cumVol += volume vwap = cumVol != 0 ? cumPV / cumVol : na // ===== STANDARD DEVIATION ===== barsSinceAnchor = bar_index - ta.valuewhen(time >= anchorTime, bar_index, 0) sd = barsSinceAnchor > 1 ? ta.stdev(close, barsSinceAnchor) : 0 // ===== BANDS ===== upper1 = vwap + std1 * sd lower1 = vwap - std1 * sd upper2 = vwap + std2 * sd lower2 = vwap - std2 * sd plot(vwap, color=color.orange, title="VWAP") plot(upper1, color=color.green, title="+1σ Band") plot(lower1, color=color.green, title="-1σ Band") plot(upper2, color=color.red, title="+2σ Band") plot(lower2, color=color.red, title="-2σ Band") // ===== SIGNALS ===== buySignal = ta.crossover(close, lower1) sellSignal = ta.crossunder(close, upper1) plotshape(buySignal, style=shape.triangleup, location=location.belowbar, color=color.green, size=size.small, title="Buy Signal") plotshape(sellSignal, style=shape.triangledown, location=location.abovebar, color=color.red, size=size.small, title="Sell Signal") alertcondition(buySignal, title="Buy Alert", message="Price touched lower 1σ band – Buy Opportunity") alertcondition(sellSignal, title="Sell Alert", message="Price touched upper 1σ band – Sell Opportunity")
อินดิเคเตอร์ Pine Script®
โดย contentChart48013
Donchian ForecastDonchian Forecast – multi-timeframe Donchian/ATR bias with ADX regime blending Donchian Forecast is a multi-timeframe bias tool that turns classic Donchian channels into a normalized trend/mean-reversion “forecast” and a single bias value in . It projects a short polyline path from the current price and shows how that path adapts when the market shifts from ranging to trending (via ADX). --- Concept 1. Donchian position → direction For each timeframe, the script measures where price sits inside its Donchian channel: -1 = near channel low 0 = middle +1 = near channel high This Donchian position is multiplied by ATR to create a **price delta** (how far the forecast moves from current price). 2. Local behavior: trend vs mean-reversion around Donchian The indicator treats the edges vs middle of the Donchian channel differently: * By default, edges behave more “trend-like”, middle more “mean-reverting”. * If you enable the reversed option, this logic flips (edges = mean-reverting, middle = trend- like). * This “local” behavior is controlled smoothly by the absolute Donchian position |pos| (not by hard zone switches). 3. Global ADX modulation (regime aware) ADX is mapped from your chosen low → high thresholds into a signed factor in : * ADX ≤ low → -1 (fully reversed behavior, more range/mean-reversion oriented) * ADX ≥ high → +1 (fully normal behavior, more trend oriented) * Values in between create a **smooth transition**. * This global factor can: * Keep the local behavior as is (trending regime), * Flip it (range regime), or * Neutralize it (indecisive regime). 4. Multi-timeframe aggregation (1x–12x chart timeframe) * The script repeats the same logic across 12 horizons: * 1x = chart timeframe * 2x..12x = multiples of the chart timeframe (e.g., 5m → 10m, 15m, …; 1h → 2h, 3h, …). * For each horizon it builds: * Donchian position * ATR-scaled delta (in price units) * Locally + globally blended delta (after Donchian + ADX logic). * These blended deltas are ATR-weighted and summed into a single bias in , which is then shown as Bias % in the on-chart table. --- ### What you see on the chart * Forecast polyline * Starting at the current close, the indicator draws a short chain of **up to 12 segments**: * Segment 1: from current price → 1x projection * Segment 2: 1x → 2x projection * … up to 12x. * Each segment is: * Green when its blended delta is ≥ 0 (upward bias) * Red when its blended delta is < 0 (downward bias) * This is not future price, but a synthetic path showing how the Donchian/ATR/ADX model “expects” price to drift across multiple horizons. * Bias table (top-center) * `Bias: X.Y%` * > 0% (green) → net upward bias across horizons * < 0% (red) → net downward bias * Magnitude (e.g., ±70–100%) ≈ strength of the directional skew. * `ADX:` current ADX value (from your DMI settings). * `ADXBlend:` the signed ADX factor in : * +1 ≈ fully “trend-interpretation” of Donchian behavior * 0 ≈ neutral / mixed regime * -1 ≈ fully “reversed/mean-reversion interpretation” --- Inputs & settings Core Donchian / ATR * Donchian Length – lookback for Donchian high/low on each horizon. * Price Source – input series used for position inside the Donchian channel (default: close). * ATR Length – ATR lookback for all horizons. * ATR Multiplier – scales the size of each forecast step in price units (higher = longer segments / more aggressive forecast). *Local behavior at high ADX * Reversed local blend at high ADX? * Off (default) – edges behave more trend-like, middle more mean-reverting. * On – flips that logic (edges more mean-reverting, middle more trend-like). * The actual effect is always modulated by the global ADX factor, so you can experiment with how the regime logic feels in different markets. Global ADX blending * DMI DI Length – period for the DI+ and DI- components. * ADX Smoothing – smoothing length for ADX. * ADX low (mean-rev zone) – below this level, the global factor pushes behavior toward reversal/range logic . * ADX high (trend zone) – above this level, the global factor pushes behavior toward **trend logic**. * Values between low and high create a smooth blend rather than a hard on/off switch. --- How to use it (examples) * Directional bias dashboard * Use the Bias % as a compact summary of multi-horizon Donchian/ATR/ADX conditions: * Consider only trades aligned with the sign of Bias (e.g., longs only when Bias > 0). * Use the magnitude to filter for **strong vs weak** directional contexts. * Regime-aware context * Watch ADX and ADXBlend: * High ADX & ADXBlend ≈ +1 → favor trend-continuation ideas. * Low ADX & ADXBlend ≈ -1 → favor range/mean-reversion ideas. * Around 0 → mixed/transition regimes; forecasts will be more muted. * Visual sanity check for systems * Overlay Donchian Forecast on your usual entries/exits to see: * When your system trades **with** the multi-TF Donchian bias. * When it trades **against** it (possible fade setups or no-trade zones). This script does not generate entry or exit signals by itself. It is a contextual/forecast tool meant to sit on top of your own trading logic. --- Notes * Works on most symbols and timeframes; higher-timeframe multiples are built from the chart timeframe. * The forecast line is a model-based projection, not a prediction or guarantee of future price. * Always combine this with your own risk management, testing, and judgement. This is for educational and analytical purposes only and is not financial advice.
อินดิเคเตอร์ Pine Script®
โดย Tradenometry
Bollinger Bands Delta Matrix Analytics [BDMA] Bollinger Bands Delta Matrix Analytics (BDMA) v7.0 Deep Kinetic Engine – 5x8 Volatility & Delta Decision Matrix 1. Introduction & Concept Bollinger Bands Delta Matrix Analytics (BDMA) v7.0 is an analytical framework that merges: - Spatial analysis via Bollinger Bands (%B location), - with a 4-factor Deep Kinetic Engine based on: • Total Volume • Buy Volume • Sell Volume • Delta (Buy – Sell) Z-Scores and converts them into an expanded 5×8 decision matrix that continuously tracks where price is trading and how the underlying orderflow is behaving. BDMA is not a trading system or strategy. It does not generate entry/exit signals. Instead, it provides a structured contextual map of volatility, volume, and delta so traders can: - identify climactic extensions vs. fakeouts, - distinguish strong initiative moves vs. passive absorption, - and detect squeezes, traps, and liquidity voids with a unified visual dashboard. 2. Spatial Engine – Bollinger S-States (S1–S5) The spatial dimension of BDMA comes from classic Bollinger Bands. Price location is expressed as Percent B (%B) and mapped into 5 spatial states (S-States): S1 – Hyper Extension (Above Upper Band) Price has pushed beyond the upper Bollinger Band. Often associated with parabolic or blow-off behavior, late-stage momentum, and elevated reversal risk. S2 – Resistance Test (Upper Zone) Price trades in the upper Bollinger region but remains inside the bands. Represents a sustained test of resistance, typically within an established or emerging uptrend. S3 – Neutral Zone (Middle) Price hovers around the mid-band. This is the mean reversion gravity field where the market often consolidates or transitions between regimes. S4 – Support Test (Lower Zone) Price trades in the lower Bollinger region but inside the bands. Represents a sustained test of support within range or downtrend structures. S5 – Hyper Drop (Below Lower Band) Price extends below the lower Bollinger Band. Often aligned with panic, forced liquidations, or capitulation-type behavior, with increased snap-back risk. These 5 S-States define the vertical axis (rows) of the BDMA matrix. 3. Deep Kinetic Engine – 4-Factor Z-Score & D-States (D1–D8) The Deep Kinetic Engine transforms raw volume and delta into standardized Z-Scores to measure how abnormal current activity is relative to its recent history. For each bar: - Raw Buy Volume is estimated from the candle’s position within its range - Raw Sell Volume is complementary to buy volume - Raw Delta = Buy Volume – Sell Volume - Total Volume = Buy Volume + Sell Volume These 4 series are then normalized using a unified Z-Score lookback to produce: 1. Z_Vol_Total – overall activity and liquidity intensity 2. Z_Vol_Buy – aggression from buyers (attack) 3. Z_Vol_Sell – aggression from sellers (defense or attack) 4. Z_Delta – net victory of one side over the other Thresholds for Extreme, Significant, and Neutral Z-Score levels are fully configurable, allowing you to tune the sensitivity of the kinetic states. Using Z_Vol_Total and Z_Delta (plus threshold logic), BDMA assigns one of 8 Deep Kinetic states (D-States): D1 – Climax Buy Extreme Total Volume + Extreme Positive Delta → Buying climax or blow-off behavior. D2 – Strong Buy High Volume + High Positive Delta → Confirmed bullish initiative activity. D3 – Weak Buy / Fakeout Low Volume + High Positive Delta → Bullish delta without commitment, low-liquidity breakout risk. D4 – Absorption / Conflict High Volume + Neutral Delta → Aggressive two-way trade, strong absorption, war zone behavior. D5 – Neutral Low Volume + Neutral Delta → Low-energy environment with low conviction. D6 – Weak Sell / Fakeout Low Volume + High Negative Delta → Bearish delta without commitment, low-liquidity breakdown risk. D7 – Strong Sell High Volume + High Negative Delta → Confirmed bearish initiative activity. D8 – Capitulation Extreme Volume + Extreme Negative Delta → Panic selling or capitulation regime. These 8 D-States define the horizontal axis (columns) of the BDMA matrix. 4. The 5×8 BDMA Decision Matrix The core of BDMA is a 5×8 matrix where: - Rows (1–5) = Spatial S-States (S1…S5) - Columns (1–8) = Kinetic D-States (D1…D8) Each of the 40 possible combinations (SxDy) is pre-computed and mapped to: - a Status or Regime Title (for example: Climax Breakout, Bear Trap Spring, Capitulation Breakdown), - a Bias (Climactic Bull, Neutral, Strong Bear, Conflict or Reversal Risk, and similar labels), - and a Strategic Signal or Consideration (for example: High reversal risk, Wait for confirmation, Low probability zone – avoid). Internally, BDMA resolves all 40 regimes so the current state can be displayed on the dashboard without performance overhead. 5. Key Regime Families (How to Read the Matrix) 5.1. Breakouts and Breakdowns Climax Breakout (Top-side) Spatial S1 with Kinetic D1 or D2 Bias: Explosive or Extreme Bull Signal: - Strong or climactic upside extension with abnormal bullish orderflow. - Trend continuation is possible, but reversal risk is extremely high after blow-off phases. Low-Conviction Breakout (Fakeout Risk) S1 with D3 (Weak Buy, low liquidity) Bias: Weak Bull – Caution Signal: - Breakout not supported by volume. - Elevated risk of failed auction or bull trap. Capitulation Breakdown (Bottom-side) Spatial S5 with Kinetic D8 Bias: Climactic Bear (panic) Signal: - Capitulation-type selling or forced liquidations. - Trend can still proceed, but snap-back or violent short-covering risk is high. Initiative Breakdown vs. Weak Breakdown - Strong, high-volume breakdown typically corresponds to D7 (Strong Sell). - Low-volume breakdown often corresponds to D6 (Weak Sell or Fakeout) with potential for failure. 5.2. Absorption, Traps and Springs Absorption at Resistance (Top-side conflict) S1 or S2 with D4 (Absorption or Conflict) Bias: Conflict – Extreme Tension Signal: - Heavy two-way trade near resistance. - Potential distribution or reversal if sellers begin to dominate. Bull Trap or Failed Auction Typically S1 with D6 (Weak Sell breakdown behavior after a top-side attempt) Indicates a breakout attempt that fails and reverses, often after poor liquidity structure. Absorption at Support and Bear Trap (Spring) S4 or S5 with D4 or D3 Bias: Conflict or Weak Bear – Reversal Risk Signal: - Aggressive buying into lows (spring or shakeout behavior). - Potential bear trap if price reclaims lost territory. 5.3. Trend Phases Strong Uptrend Phases Typically seen when S2–S3 combine with strong bullish kinetic behavior. Bias: Strong or Extreme Bull Signal: - Pullbacks into S3 or S4 with supportive kinetic states often act as trend continuation zones. Strong Downtrend Phases Typically seen when S3–S4 combine with strong bearish kinetic behavior. Bias: Strong or Extreme Bear Signal: - Rallies into resistance with strong bearish kinetic backing may act as continuation sell zones. 5.4. Neutral, Exhaustion and Squeeze Exhaustion or Liquidity Void S1 or S5 with D5 (Neutral kinetics) Bias: Neutral or Exhaustion Signal: - Spatial extremes without kinetic confirmation. - Often marks the end of a move, with poor follow-through. Choppy, Low-Activity Range S3 with D5 Bias: Neutral Signal: - Low volume, low conviction market. - Typically a low-probability environment where standing aside can be logical. Squeeze or High-Tension Zone S3 with D4 or tightly clustered kinetic values Bias: Conflict or High Tension Signal: - Hidden battle inside a volatility contraction. - Often precedes large directionally-biased moves. 6. Dashboard Layout & Reading Guide When Show Dashboard is enabled, BDMA displays: 1. Title and Status Line Name of the current regime (for example: Climax Breakout, Bear Trap Spring, Mean Reversion). 2. Bias Line Plain-language summary of directional context such as Climactic Bull, Strong Bear, Neutral, or Conflict and Reversal Risk. 3. Signal or Strategic Notes Concise guidance focused on risk and context, not entries. For example: - High reversal risk – aggressive traders only - Wait for confirmation (break or rejection) - Low probability zone – avoid taking new positions 4. Kinetic Profile (4-Factor Z-Score) Shows the current Z-Scores for Total Volume (Activity), Buy Volume (Attack), Sell Volume (Defense), and Delta (Net Result). 5. Matrix Heatmap (5×8) Visual representation of S-State vs. D-State with color coding: - Bullish clusters in a green spectrum - Bearish clusters in a red spectrum - Conflict or exhaustion zones in yellow, amber, or neutral tones The dashboard can be repositioned (top right, middle right, or bottom right) and its size can be adjusted (Tiny, Small, Normal, or Large) to fit different layouts. 7. Inputs & Customization 7.1. Core Parameters (Bollinger and Z-Score) - Bollinger Length and Standard Deviation define the spatial engine. - Z-Score Lookback (All Factors) defines how many bars are used to normalize volume and delta. 7.2. Deep Kinetic Thresholds - Extreme Threshold defines what is considered climactic (D1 or D8). - Significant Threshold distinguishes strong initiative vs. weak or fakeout behavior. - Neutral Threshold is the band within which delta is treated as neutral. These thresholds allow you to tune the sensitivity of the kinetic classification to fit different timeframes or instruments. 7.3. Calculation Method (Volume Delta) Geometry (Approx) - Fast, non-repainting approach based on candle geometry. - Suitable for most users and real-time decision-making. Intrabar (Precise) - Uses lower-timeframe data for more precise volume delta estimation. - Intrabar mode can repaint and requires compatible data and plan support on the platform. - Best used for post-analysis or research, not blind automation. 7.4. Visuals and Interface - Toggle Bollinger Bands visibility on or off. - Switch between Dark and Light color themes. - Configure dashboard visibility, matrix heatmap display, position, and size. 8. Multi-Language Semantic Engine (Asia and Middle East Focus) BDMA v7.0 includes a fully integrated multi-language layer, targeting a wide geographic user base. Supported Languages: English, Türkçe, Русский, 简体中文, हिन्दी, العربية, فارسی, עברית All dashboard labels, regime titles, bias descriptions, and signal texts are dynamically translated via an internal dictionary, while semantic meaning is kept consistent across languages. This makes BDMA suitable for multi-language communities, study groups, and educational content across different regions. However, due to the heavy computational load of the Deep Kinetic Engine and TradingView’s strict Pine Script execution limits, it was not possible to expand support to additional languages. Adding more translation layers would significantly increase memory usage and exceed runtime constraints. For this reason, the current language set represents the maximum optimized configuration achievable without compromising performance or stability. 9. Practical Usage Notes BDMA is most powerful when used as a contextual overlay on top of market structure (HH, HL, LH, LL), higher-timeframe trend, key levels, and your own execution framework. Recommended usage: - Identify the current regime (Status and Bias). - Check whether price location (S-State) and kinetic behavior (D-State) agree with your trade idea. - Be especially cautious in climactic and absorption or conflict zones, where volatility and risk can be elevated. Avoid treating BDMA as an automatic green equals buy, red equals sell tool. The real edge comes from understanding where you are in the volatility or kinetic spectrum, not from forcing signals out of the matrix. 10. Limitations & Important Warnings BDMA does not predict the future. It organizes current and recent data into a structured context. Volume data quality depends on the underlying symbol, exchange, and broker feed. Forex, crypto, indices, and stocks may all behave differently. Intrabar mode can repaint and is sensitive to lower-timeframe data availability and your plan type. Use it with extra caution and primarily for research. No indicator can remove the need for clear trading rules, disciplined risk management, and psychological control. 11. Disclaimer This script is provided strictly for educational and analytical purposes. It is not a trading system, signal service, financial product, or investment advice. Nothing in this indicator or its description should be interpreted as a recommendation to buy or sell any asset. Past behavior of any indicator or market pattern does not guarantee future results. Trading and investing involve significant risk, including the risk of losing more than your initial capital in leveraged products. You are solely responsible for your own decisions, risk management, and results. By using this script, you acknowledge that you understand these risks and agree that the author or authors and publisher or publishers are not liable for any loss or damage arising from its use.
อินดิเคเตอร์ Pine Script®
โดย ata_sabanci
Trend Follow Line Point📌 Trend Follow Line Point The Trend Follow Line Point indicator removes the confusing, repainting-based swing connections commonly found in traditional swing tools. It maintains consistent swing-point calculation, keeps structural swing lines intact even when trend lines are broken, and integrates market structure + trend + volatility + volume into one intuitive, visual indicator. This tool is designed for: Trend Following Swing Structure Analysis Volatility-Based Entry & Exit Market Strength Evaluation 📊 Component Explanation 🔹 1. Swing High / Swing Low Detection Based on the user-defined sensitivity (swgLen): A Swing High forms when the current high exceeds the previous swgLen highs. A Swing Low forms when the current low falls below the previous swgLen lows. 🔹 2. Swing-Based Structure Lines Connect Swing Highs → Structural visualization Connect Swing Lows → Structural visualization These lines reveal the underlying market structure without repainting or disappearing unexpectedly. 🔹 3. Dynamic ATR + Volume Weighting ATR values combined with the volume ratio (vol / volMA) create a dynamic volatility channel that reflects real-time market pressure. 🔹 4. Enhanced SuperTrend Calculation Uses ATR-based stability to produce more realistic and smoother trend lines, reducing noise and improving signal clarity. 🔹 5. Trend Color Mapping Up Trend → User-selected color Down Trend → User-selected color Visual trend direction and strength can be identified immediately. 🧭 How to Use When Swing Highs/Lows are detected, structure lines are automatically drawn between previous swings. Use these lines to evaluate support/resistance breaks and overall structural direction. Manage risk with volatility guidance: Higher ATR (volume-weighted) → wider trend spacing → increased risk Lower ATR → tighter spacing → reduced risk This helps with position sizing, entry timing, and exit decisions. +
อินดิเคเตอร์ Pine Script®
โดย c9indicator
Traders edge indicator1Trend Confirmation: The primary trend is determined by the alignment of the long-term EMAs (e.g., 100 and 200). The trade direction should align with this overall trend. Entry/Exit Signals: Shorter EMAs (e.g., 9 or 20) are used for high-probability entry points. Pullbacks to these faster EMAs within the context of a strong trend are common entry signals. Dynamic Support and Resistance: The various EMAs and the VWAP line often act as magnetic levels where price tends to pause, reverse, or consolidate. VWAP as Mean Reversion Target: In a volatile market, if the price moves significantly away from the VWAP, it may be considered "overextended," and a mean-reversion move back towards the VWAP is often anticipated.
อินดิเคเตอร์ Pine Script®
โดย rcvemula
Smart Donchian Channel Hariss 3691. The Donchian Channel is a trend-following indicator. It’s primarily used to identify volatility, breakouts, and price trends. The channel is composed of three lines: Upper Band: The highest high over a specified period (e.g., 20 bars). Lower Band: The lowest low over the same period. Middle Line (optional): The average of the upper and lower bands. 2. How the Donchian Channel Detects Price Momentum The Donchian Channel is based on price extremes, which inherently reflects momentum and market sentiments. Price Above Midline / Upper Band: Indicates strong bullish momentum. Buyers are dominating, pushing price toward new highs. Price Below Midline / Lower Band: Indicates strong bearish momentum. Sellers are in control, pushing price toward new lows. Price Touching the Bands: Upper band breakout: A potential continuation of an uptrend or trend initiation. Lower band breakout: A potential continuation of a downtrend or trend initiation. Bounce from the bands: Signals potential reversals or retracements. Essentially, the Donchian Channel acts as a dynamic support and resistance level. 3. Interpreting Market Conditions Trending Markets: Price moves along or breaks out from the upper/lower band. Donchian Channel expands as volatility increases. Breakouts from the channel often indicate continuation of the trend. Sideways/Range-Bound Markets: Price oscillates between upper and lower bands. Channel width narrows. Bounces from upper/lower bands may produce false signals unless filtered by volume or trend indicators. 4. Trading Applications Breakout Strategy: Buy when price closes above the upper band. Sell when price closes below the lower band. Useful for trend-following systems. Reversal/Bounce Strategy: Buy when price bounces from the lower band. Sell when price rejects the upper band. How this indicator has been designed to reduce false signals: Buy signal fires when price bounces from the lower band with high volume (1.5), bullish RSI and DMI/ADX. Sell signal fires when price reverses from upper band with high volume (1.5) with bearish RSI and DMI/ADX. One can change the RSI and RVOL setting according to trading style and class assets being traded. Trading With this Indicator: Buy when the signal is fired to buy, place Stop Loss just below the low of last candle and take profit @1.5 or 2 times of stop loss. Sell when the signal is fired to sell, place stop loss just above the high of the last candle and take profit @1.5 or 2 times of stop loss. It is to note that, this indicator is a trend following indicator, so be with the trend will avoid missing out trend following levels or early exit.
อินดิเคเตอร์ Pine Script®
โดย Hariss369
Focus On Work time (Tehran)If you only want to analyze the market during specific working hours and ignore the rest, this indicator is for you. It lets you hide or highlight non-working times on your chart, so you can focus only on the sessions that matter to you. Just set your start time and end time for the work session. By default, the time is set to UTC+3:30 (Tehran time), but you can change it to any timezone you like.
อินดิเคเตอร์ Pine Script®
โดย msadeghjoveini
Physics of PricePhysics of Price is a non-repainting kinematic reversal and volatility overlay. It models price as a physical object with position, velocity, and acceleration, then builds adaptive bands and a short-term predictive “ghost cone” to highlight where reversals are statistically more likely. CONCEPT Instead of using only moving averages, the core engine tracks a smoothed price (position), trend speed (velocity), and change in trend speed (acceleration). Standard deviation of the model error defines probabilistic bands around this kinematic centerline. When price stretches too far away and snaps back, the move is treated as a potential exhaustion event. CORE COMPONENTS – Kinematic centerline (Alpha–Beta–Gamma style filter) that bends with trend instead of lagging like a simple MA. – Inner and outer bands based on the standard deviation of residuals between price and the kinematic model. – Regime filter using R² and band width to avoid signals in chaotic or ultra-wide regimes. – Optional RSI “hook” filter that waits for momentum to actually turn instead of buying into a falling RSI. – Optional divergence add-on using kinematic velocity, so a marginal new price extreme with weaker velocity is recognized as a possible exhaustion pattern. REVERSAL EVENTS AND SCORING Raw events are detected when price wicks through the outer band and closes back inside (band hit with snap). These are plotted as diamonds and treated as candidates, not automatic trades. Each event is then scored from 0 to 100 using several factors: – How far price overshot the outer band. – How strongly it snapped back inside. – Whether an RSI hook is present (if enabled). – Regime quality from the kinematic model. – Basic kinematic safety to avoid the most aggressive “knife-catch” situations. – Optional divergence bonus when price makes a new extreme but velocity does not. Only events with a score above the chosen threshold become confirmed signals (triangles labeled PHYSICS REV). GHOST CONE (PREDICTIVE BAND) On the latest bar, the script projects a short-horizon “ghost cone” into the future using position, velocity, and a damped acceleration term. This creates a curved predictive band that visualizes a plausible short-term path and range, rather than a simple straight line. The cone is meant as context for trade management and risk, not as a hard target. FILTERS AND OPTIONS – Regime filter (R² and band width) can be tightened or relaxed depending on how selective you want the engine to be. – RSI and volume filters can be toggled on for extra confirmation or off to see the raw kinematic behavior. – An optional trend baseline (EMA) can be enabled to bias or restrict reversals relative to a higher-timeframe trend. – Dynamic cooldown scales with volatility so the script does not spam signals in fast environments. HOW TO USE Physics of Price is primarily a mean-reversion and exhaustion tool. It works best in markets that respect ranges, swings, and two-sided order flow. Confirmed PHYSICS REV signals near the outer bands, with decent model health and a clean RSI hook, are the core use case. The bands and ghost cone can also be used as a context overlay alongside your own entries, exits, and risk framework. This is an indicator, not a complete trading system. It does not use lookahead or higher-timeframe security calls and is designed for “once per bar close” alerts. Always combine it with your own risk management and confluence.
อินดิเคเตอร์ Pine Script®
โดย Finntech1