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Indicatori e strategie

Pulse FlowPulse Flow is a market structure indicator that extracts the hidden rhythm of price. It combines micro-structure detection with a rule-based trend engine, making waves and turning points visible in real time. Instead of drawing swings by hand or guessing breakouts, Pulse Flow enforces strict, objective rules for what counts as structure. What it shows Micro-Structure (Fractals): Internal swings are extracted from baseline crosses (EMA or ALMA). These fractals show how price oscillates inside the wave, providing context for micro pullbacks and internal breaks. Trend (HH, HL, LH, LL): Pulse Flow uses a finite state machine (FSM) to track the current trend. Every trend represents a wave. - Confirmed higher highs and higher lows define bullish waves. - Confirmed lower highs and lower lows define bearish waves. - When a wave breaks, a new wave begins. Turning points are explicitly marked as WH (wave high) and WL (wave low). Active Range (RL & RH): The indicator continuously maintains the current range, based on closing prices rather than wicks. This ensures consistent behavior during liquidity events, where extremes are often tested intrabar. Retracement Levels (0.50 & 0.71): Inside each active range, Pulse Flow plots the midrange and the 0.71 “optimal entry zone,” highlighting areas where pullbacks most often react. Breakout Confirmation: A breakout is only valid if: - The close extends beyond RL or RH by at least an ATR-based threshold. - A second candle confirms the move. This filters false signals and ensures structural integrity. How it helps Pulse Flow helps traders by taking the guesswork out of structure. Instead of debating whether a high or low should count, the indicator applies objective rules and marks every confirmed swing directly on the chart. Each wave is highlighted the moment the trend flips, so you always see where the market has turned and which direction the active wave is heading. The internal fractal structure reveals how price moves within the range, while the explicit HH, HL, LH, and LL points define the external trend. This distinction allows you to make tactical decisions on internal breaks and strategic decisions on external breaks, giving you clarity across timeframes. Because ranges are calculated using closing prices, the levels remain stable even when liquidity sweeps occur, making the indicator reliable in volatile markets. Combined with automatically plotted retracement levels, you gain a consistent framework for spotting likely reaction zones without redrawing lines or relying on subjective judgment. How it works Under the hood, Pulse Flow combines two engines. The pivot engine extracts micro swings by tracking how price crosses a baseline, which can be either EMA or ALMA, depending on your settings. Each cross defines a candidate high or low, and together these pivots form the fractal zigzag that represents the market’s micro-structure. On top of this, a finite state machine manages the active range. It tracks the range high and range low, validates breakouts only when price closes beyond these levels with ATR-based confirmation, and waits for a pullback before locking in the new structure. When the FSM confirms a new trend, Pulse Flow explicitly marks the turning point as a wave high or wave low. In this way, every confirmed HH, HL, LH, and LL is not a guess but the logical outcome of strict structural rules. The interaction between pivots and the FSM creates a complete and consistent map of the market’s waves, from micro oscillations to macro trend shifts. Summary Pulse Flow extracts micro-structure, defines waves, and highlights turning points. It shows the active range with key retracement levels and confirms breakouts with ATR + candle logic. By using closing prices to define RL/RH, it stays consistent even through liquidity sweeps. For traders who trade based on structure, Pulse Flow is not just another tool. It is a framework: a rule-based map of how markets actually move in waves.
Indicatore Pine Script®
di falko_loeffler
2
RSI with Divergence and Multi TimeframeThe VEGA RSI detects divergences according to the standard rules of valid divergences and plots 2 more additional timeframes as a dot with a label for the timeframe. Divergences can indicate weakening momentum and potential reversals. For the divergences the indicator uses the following rules: - Divergences are within the set lookback period. The standard rule is 14 bars. This is also the default setting. Traders can change the lookback period in the settings if they want to be less aggressive on the standard rule. - A valid bullish divergence is oversold first and does not reset too close to the midline in between its lows. - A valid bearish divergence is overbought first and does not reset too close to the midline in between its highs. This eliminates invalid divergences that occur between 70 and 50 or between 30 and 50. And it eliminates divergences that are invalid because the RSI was reset in between. Traders can also change the aggressiveness of the pivot detection in the settings. Additionally the VEGA RSI plots two more timeframes of the traders choice. To make it visually appealing and not too crowded with lines the indicator only plots the current value and not historic values. The intended use for this feature is to choose two different timeframes than the traders most used chart timeframe and to keep an overview of where the RSI on those two timeframes is. Its usefulness can be compared to that of an RSI screener that shows traders where the asset's RSI is on specified timeframes to gauge for strength or weakness.
Indicatore Pine Script®
di VEGAlgo
SuperSmoother MA OscillatorSuperSmoother MA Oscillator - Ehlers-Inspired Lag-Minimized Signal Framework Overview The SuperSmoother MA Oscillator is a crossover and momentum detection framework built on the pioneering work of John F. Ehlers, who introduced digital signal processing (DSP) concepts into technical analysis. Traditional moving averages such as SMA and EMA are prone to two persistent flaws: excessive lag, which delays recognition of trend shifts, and high-frequency noise, which produces unreliable whipsaw signals. Ehlers’ SuperSmoother filter was designed to specifically address these flaws by creating a low-pass filter with minimal lag and superior noise suppression, inspired by engineering methods used in communications and radar systems. This oscillator extends Ehlers’ foundation by combining the SuperSmoother filter with multi-length moving average oscillation, ATR-based normalization, and dynamic color coding. The result is a tool that helps traders identify market momentum, detect reliable crossovers earlier than conventional methods, and contextualize volatility and phase shifts without being distracted by transient price noise. Unlike conventional oscillators, which either oversimplify price structure or overload the chart with reactive signals, the SuperSmoother MA Oscillator is designed to balance responsiveness and stability. By preprocessing price data with the SuperSmoother filter, traders gain a signal framework that is clean, robust, and adaptable across assets and timeframes. Theoretical Foundation Traditional MA oscillators such as MACD or dual-EMA systems react to raw or lightly smoothed price inputs. While effective in some conditions, these signals are often distorted by high-frequency oscillations inherent in market data, leading to false crossovers and poor timing. The SuperSmoother approach modifies this dynamic: by attenuating unwanted frequencies, it preserves structural price movements while eliminating meaningless noise. This is particularly useful for traders who need to distinguish between genuine market cycles and random short-term price flickers. In practical terms, the oscillator helps identify: Early trend continuations (when fast averages break cleanly above/below slower averages). Preemptive breakout setups (when compressed oscillator ranges expand). Exhaustion phases (when oscillator swings flatten despite continued price movement). Its multi-purpose design allows traders to apply it flexibly across scalping, day trading, swing setups, and longer-term trend positioning, without needing separate tools for each. The oscillator’s visual system - fast/slow lines, dynamic coloration, and zero-line crossovers - is structured to provide trend clarity without hiding nuance. Strong green/red momentum confirms directional conviction, while neutral gray phases emphasize uncertainty or low conviction. This ensures traders can quickly gauge the market state without losing access to subtle structural signals. How It Works The SuperSmoother MA Oscillator builds signals through a layered process: SuperSmoother Filtering (Ehlers’ Method) At its core lies Ehlers’ two-pole recursive filter, mathematically engineered to suppress high-frequency components while introducing minimal lag. Compared to traditional EMA smoothing, the SuperSmoother achieves better spectral separation - it allows meaningful cyclical market structures to pass through, while eliminating erratic spikes and aliasing. This makes it a superior preprocessing stage for oscillator inputs. Fast and Slow Line Construction Within the oscillator framework, the filtered price series is used to build two internal moving averages: a fast line (short-term momentum) and a slow line (longer-term directional bias). These are not plotted directly on the chart - instead, their relationship is transformed into the oscillator values you see. The interaction between these two internal averages - crossovers, separation, and compression - forms the backbone of trend detection: Uptrend Signal : Fast MA rises above the slow MA with expanding distance, generating a positive oscillator swing. Downtrend Signal : Fast MA falls below the slow MA with widening divergence, producing a negative oscillator swing. Neutral/Transition : Lines compress, flattening the oscillator near zero and often preceding volatility expansion. This design ensures traders receive the information content of dual-MA crossovers while keeping the chart visually clean and focused on the oscillator’s dynamics. ATR-Based Normalization Markets vary in volatility. To ensure the oscillator behaves consistently across assets, ATR (Average True Range) normalization scales outputs relative to prevailing volatility conditions. This prevents the oscillator from appearing overly sensitive in calm markets or too flat during high-volatility regimes. Dynamic Color Coding Color transitions reflect underlying market states: Strong Green : Bullish alignment, momentum expanding. Strong Red : Bearish alignment, momentum expanding. These visual cues allow traders to quickly gauge trend direction and strength at a glance, with expanding colors indicating increasing conviction in the underlying momentum. Interpretation The oscillator offers a multi-dimensional view of price dynamics: Trend Analysis : Fast/slow line alignment and zero-line interactions reveal trend direction and strength. Expansions indicate momentum building; contractions flag weakening conditions or potential reversals. Momentum & Volatility : Rapid divergence between lines reflects increasing momentum. Compression highlights periods of reduced volatility and possible upcoming expansion. Cycle Awareness : Because of Ehlers’ DSP foundation, the oscillator captures market cycles more cleanly than conventional MA systems, allowing traders to anticipate turning points before raw price action confirms them. Divergence Detection : When oscillator momentum fades while price continues in the same direction, it signals exhaustion - a cue to tighten stops or anticipate reversals. By focusing on filtered, volatility-adjusted signals, traders avoid overreacting to noise while gaining early access to structural changes in momentum. Strategy Integration The SuperSmoother MA Oscillator adapts across multiple trading approaches: Trend Following Enter when fast/slow alignment is strong and expanding: A fast line crossing above the slow line with expanding green signals confirms bullish continuation. Use ATR-normalized expansion to filter entries in line with prevailing volatility. Breakout Trading Periods of compression often precede breakouts: A breakout occurs when fast lines diverge decisively from slow lines with renewed green/red strength. Exhaustion and Reversals Oscillator divergence signals weakening trends: Flattening momentum while price continues trending may indicate overextension. Traders can exit or hedge positions in anticipation of corrective phases. Multi-Timeframe Confluence Apply the oscillator on higher timeframes to confirm the directional bias. Use lower timeframes for refined entries during compression → expansion transitions. Technical Implementation Details SuperSmoother Algorithm (Ehlers) : Recursive two-pole filter minimizes lag while removing high-frequency noise. Oscillator Framework : Fast/slow MAs derived from filtered prices. ATR Normalization : Ensures consistent amplitude across market regimes. Dynamic Color Engine : Aligns visual cues with structural states (expansion and contraction). Multi-Factor Analysis : Combines crossover logic, volatility context, and cycle detection for robust outputs. This layered approach ensures the oscillator is highly responsive without overloading charts with noise. Optimal Application Parameters Asset-Specific Guidance: Forex : Normalize with moderate ATR scaling; focus on slow-line confirmation. Equities : Balance responsiveness with smoothing; useful for capturing sector rotations. Cryptocurrency : Higher ATR multipliers recommended due to volatility. Futures/Indices : Lower frequency settings highlight structural trends. Timeframe Optimization: Scalping (1-5min) : Higher sensitivity, prioritize fast-line signals. Intraday (15m-1h) : Balance between fast/slow expansions. Swing (4h-Daily) : Focus on slow-line momentum with fast-line timing. Position (Daily-Weekly) : Slow lines dominate; fast lines highlight cycle shifts. Performance Characteristics High Effectiveness: Trending environments with moderate-to-high volatility. Assets with steady liquidity and clear cyclical structures. Reduced Effectiveness: Flat/choppy conditions with little directional bias. Ultra-short timeframes (<1m), where noise dominates. Integration Guidelines Confluence : Combine with liquidity zones, order blocks, and volume-based indicators for confirmation. Risk Management : Place stops beyond slow-line thresholds or ATR-defined zones. Dynamic Trade Management : Use expansions/contractions to scale position sizes or tighten stops. Multi-Timeframe Confirmation : Filter lower-timeframe entries with higher-timeframe momentum states. Disclaimer The SuperSmoother MA Oscillator is an advanced trend and momentum analysis tool, not a guaranteed profit system. Its effectiveness depends on proper parameter settings per asset and disciplined risk management. Traders should use it as part of a broader technical framework and not in isolation.
Indicatore Pine Script®
di BOSWaves
5
CB Charts - GEX MESZ2025/ESZ2025Last Updated: 09/22/2025 6:41 a.m. PST *DISCLAIMER: Only intended for ESZ2025/MESZ2025 charts. This indicator plots horizontal levels based on batched GEX levels for ESZ2025/MESZ2025. The batched data is derived from contracts expiring: 0DTE, 1DTE, EoW, EoM, Next Week, Next Month and 3-months out. Labels are available for a high-level view of which levels are which. Hovering (or long-pressing on mobile TV) over the labels will display the nominal values and Rank. This script is manually updated and may not be always updated. When and what to use: - Most respected levels come from 1DTE, EoW and EoM. - 0DTE is included for when this script becomes intraday updated. (CURRENTLY NOT UPDATED INTRADAY) - Next Week setting is best used only for Friday and Sunday trading - Next Month setting is best for weeks close to the end of the current month Powered by the Camels of Wallstreet
Indicatore Pine Script®
di thabaker91
Vortex Filter PATThe Vortex Filter is your guide to smarter trend trading and position scaling. This indicator goes beyond simple buy/sell signals by identifying a critical zone for potential averaging, allowing you to improve your position and risk management in real-time. A clear 'Long' or 'Short' signal is generated when a new trend is confirmed. When the price pulls back into the specially defined averaging zone, you receive a signal to "BUY" or "SELL" consider adding to your position. This two-tiered approach to market entry and management is a game-changer for traders who want to build profitable positions and manage risk effectively
Indicatore Pine Script®
di Impextejas04
1
LW Outside Day Flip【SpeculationLab】Applicable Timeframe ⚠️ Note: This indicator is primarily designed for the Daily timeframe. Larry Williams’ original discussion and statistics were based on daily data. While it can technically be applied to other timeframes, results may vary. It is strongly recommended to use it on daily charts. Overview This indicator marks a classic “Outside Day + Extreme Close” price action pattern. The idea comes from Larry Williams’ Long-Term Secrets to Short-Term Trading (2nd edition, Chapter 7). The indicator does not execute trades or generate alerts — it simply plots visual markers on the chart when the pattern conditions are met, to assist research and review. Logic Outside Bar Condition Current high > previous high Current low < previous low Extreme Close Filter Long signal: Close < previous low Short signal: Close > previous high Confirmation Signals are only confirmed at bar close (barstate.isconfirmed), to avoid repainting during intrabar movement. Chart Display When a long signal is triggered, a green downward triangle is plotted above the bar. When a short signal is triggered, a red upward triangle is plotted below the bar. Signals are overlaid directly on the price chart (overlay=true) and serve only as visual cues. Usage Notes Best used as a filter or secondary confirmation tool, not as a standalone entry trigger. Consider combining with higher timeframe trend, key support/resistance, or volume analysis. Entries, stop losses, and profit targets should be defined and tested independently by the trader. Limitations and Risks In strong trending markets, these signals may fail. In low-liquidity or gapping conditions, accuracy may be reduced. A single candlestick pattern cannot ensure consistent profitability. Disclaimer This script is for educational and research purposes only. It is not financial advice. Trading carries risk, and users are solely responsible for their own decisions and results. =================== 指标适用范围 ⚠️ 特别提示：本指标主要适用于日线图（Daily Timeframe）。 Larry Williams 的原始讨论与统计均基于日线数据。虽然技术上可以在其它周期应用，但效果可能会不同，建议严格以日线作为主要参考周期。 功能概述 本指标用于在图表上标记一种经典的“外包线 + 极端收盘”的价格行为形态。思路参考 Larry Williams 在《Long-Term Secrets to Short-Term Trading》（第二版，第七章）中对日线“Outside Day”与反向收盘的讨论。指标不包含交易执行或提醒功能，仅在满足条件时绘制信号标记，用于辅助研究。 计算逻辑 外包线（Outside Bar）判定 最高价高于前一根K线的最高价； 最低价低于前一根K线的最低价。 极端收盘过滤 做多信号（Long）：收盘价低于前一根K线的最低价； 做空信号（Short）：收盘价高于前一根K线的最高价。 确认方式 仅在K线收盘后确认（避免盘中信号反复出现/消失）。 绘图说明 触发做多条件时，在K线 上方 绘制 绿色 向下三角形标记。 触发做空条件时，在K线 下方 绘制 红色 向上三角形标记。 信号直接叠加在价格图上（overlay=true），仅作提示。 使用建议 建议作为筛选条件或二次确认工具，不要单独作为入场依据； 可以配合趋势方向、关键支撑/阻力、成交量等其他因素一起使用； 入场、止损与止盈需由使用者自行定义和验证。 限制与风险 在强趋势行情中，信号可能失效； 在低流动性或跳空行情中，信号准确度下降； 单一形态不能保证稳定盈利。 免责声明 本指标仅用于教育与研究，不构成投资建议。实际交易风险由使用者自行承担。
Indicatore Pine Script®
di SpeculationLab
Momentum Shift Oscillator (MSO) [SharpStrat]Momentum Shift Oscillator (MSO) The Momentum Shift Oscillator (MSO) is a custom-built oscillator that combines the best parts of RSI, ROC, and MACD into one clean, powerful indicator. Its goal is to identify when momentum shifts are happening in the market, filtering out noise that a single momentum tool might miss. Why MSO? Most traders rely on just one momentum indicator like RSI, MACD, or ROC. Each has strengths, but also weaknesses: RSI → great for overbought/oversold, but often lags in strong trends. ROC (Rate of Change) → captures price velocity, but can be too noisy. MACD Histogram → shows trend strength shifts, but reacts slowly at times. By blending all three (with adjustable weights), MSO gives a balanced view of momentum. It captures trend strength, velocity, and exhaustion in one oscillator. How MSO Works Inputs: RSI, ROC, and MACD Histogram are calculated with user-defined lengths. Each is normalized (so they share the same scale of -100 to +100). You can set weights for RSI, ROC, and MACD to emphasize different components. The components are blended into a single oscillator value. Smoothing (SMA, EMA, or WMA) is applied. MSO plots as a smooth line, color-coded by slope (green rising, red falling). Overbought and oversold levels are plotted (default: +60 / -60). A zero line helps identify bullish vs bearish momentum shifts. How to trade with MSO Zero line crossovers → crossing above zero suggests bullish momentum; crossing below zero suggests bearish momentum. Overbought and oversold zones → values above +60 may indicate exhaustion in bullish moves; values below -60 may signal exhaustion in bearish moves. Slope of the line → a rising line shows strengthening momentum, while a falling line signals fading momentum. Divergences → if price makes new highs or lows but MSO does not, it can point to a possible reversal. Why MSO is Unique Combines trend + momentum + velocity into one view. Filters noise better than standalone RSI/MACD. Adapts to both trend-following and mean-reversion styles. Can be used across any timeframe for confirmation.
Indicatore Pine Script®
di SharpStrat
ninu3q merged//@version=6 indicator("Ultimate Trend + Momentum + Volume Pro (merged)", overlay=true, max_boxes_count=700, max_lines_count=300, max_labels_count=300) // ----------------------------- // 1) EMA Trend + VWAP Layer (combined) // ----------------------------- ema200 = ta.ema(close, 200) ema50 = ta.ema(close, 50) vwap = ta.vwap ema200Plot = plot(ema200, "EMA 200", color=color.red, linewidth=2, style=plot.style_line) ema50Plot = plot(ema50, "EMA 50", color=color.teal, linewidth=1, style=plot.style_line) vwapPlot = plot(vwap, "VWAP", color=color.orange, linewidth=1, style=plot.style_line) // Trick: combine them into a group so TradingView counts less plot(na) // placeholder, only one is really required // ----------------------------- // 2) UT Bot Alerts // ----------------------------- utAtrPeriod = input.int(10, "UT ATR Period") utAtrMultiplier = input.float(2.0, "UT ATR Multiplier") utAtr = ta.atr(utAtrPeriod) utUpper = close + utAtrMultiplier * utAtr utLower = close - utAtrMultiplier * utAtr utBuy = ta.crossover(close, utUpper) utSell = ta.crossunder(close, utLower) plotshape(utBuy, "UT Buy", location=location.belowbar, color=color.green, style=shape.labelup, text="BUY") plotshape(utSell, "UT Sell", location=location.abovebar, color=color.red, style=shape.labeldown, text="SELL") // ----------------------------- // 3) Volume Profile (anchored to last N bars) // ----------------------------- barsBack = input.int(150, "Bars Back", minval=1, maxval=5000) cols = input.int(35, "Columns", minval=5, maxval=200) vaPct = input.float(70.0, "Value Area %", minval=40.0, maxval=99.0) histWidth = input.int(24, "Histogram Width (bars)", minval=6, maxval=200) direction = input.string("Into chart (left)", "Histogram Direction", options= ) // Block/line styles blockFillColor = input.color(#B0B0B0, "Volume Block Fill Color") blockFillOpacity = input.int(70, "Volume Block Fill Opacity %", minval=0, maxval=100) blockBorderColor = input.color(#000000, "Volume Block Border Color") blockBorderOpacity = input.int(0, "Volume Block Border Opacity %", minval=0, maxval=100) showPOC = input.bool(true, "Show POC Line") pocColor = input.color(#FF0000, "POC Color") pocWidth = input.int(2, "POC Width", minval=1, maxval=6) showVA = input.bool(false, "Show VAH/VAL Lines") vaColor = input.color(#FFA500, "VA Color") vaWidth = input.int(1, "VA Width", minval=1, maxval=6) showVWAP = input.bool(false, "Show AVWAP Line") vwapColor = input.color(#0000FF, "AVWAP Color") vwapWidth = input.int(1, "AVWAP Width", minval=1, maxval=6) showLabels = input.bool(false, "Show Line Labels") priceForBin = hlcc4 // Draw registries var boxesArr = array.new_box() var linesArr = array.new_line() var labelsArr = array.new_label() f_wipe() => while array.size(boxesArr) > 0 box.delete(array.pop(boxesArr)) while array.size(linesArr) > 0 line.delete(array.pop(linesArr)) while array.size(labelsArr) > 0 label.delete(array.pop(labelsArr)) if barstate.islast f_wipe() eff = math.min(barsBack, bar_index + 1) if eff > 1 float pMin = na float pMax = na float pvSum = 0.0 float vSum = 0.0 for look = 0 to eff - 1 lo = low hi = high pMin := na(pMin) ? lo : math.min(pMin, lo) pMax := na(pMax) ? hi : math.max(pMax, hi) pvSum += priceForBin * volume vSum += volume anchoredVWAP = vSum > 0 ? pvSum / vSum : na if not na(pMin) and not na(pMax) and pMax > pMin step = (pMax - pMin) / cols step := step == 0.0 ? syminfo.mintick : step var vols = array.new_float() var lows = array.new_float() var highs = array.new_float() array.clear(vols), array.clear(lows), array.clear(highs) for i = 0 to cols - 1 array.push(vols, 0.0) lo = pMin + i * step hi = lo + step array.push(lows, lo) array.push(highs, hi) for look = 0 to eff - 1 pr = priceForBin vol = volume idx = int(math.floor((pr - pMin) / step)) idx := idx < 0 ? 0 : idx > cols - 1 ? cols - 1 : idx array.set(vols, idx, array.get(vols, idx) + vol) pocIdx = 0 pocVol = 0.0 totalVol = 0.0 for i = 0 to cols - 1 v = array.get(vols, i) totalVol += v if v > pocVol pocVol := v pocIdx := i targetVol = totalVol * (vaPct / 100.0) left = pocIdx right = pocIdx cumVA = array.get(vols, pocIdx) while cumVA < targetVol and (left > 0 or right < cols - 1) vLeft = left > 0 ? array.get(vols, left - 1) : -1.0 vRight = right < cols - 1 ? array.get(vols, right + 1) : -1.0 if vRight > vLeft right += 1 cumVA += array.get(vols, right) else if vLeft >= 0 left -= 1 cumVA += array.get(vols, left) else break VAH = array.get(highs, right) VAL = array.get(lows, left) profileStart = bar_index - (eff - 1) rightStart = bar_index + 1 rightEnd = bar_index + 1 + histWidth intoChart = direction == "Into chart (left)" for i = 0 to cols - 1 v = array.get(vols, i) len = pocVol > 0 ? (v / pocVol) : 0.0 px = int(math.round(len * histWidth)) x1 = intoChart ? (rightEnd - px) : rightStart x2 = intoChart ? rightEnd : (rightStart + px) y1 = array.get(lows, i) y2 = array.get(highs, i) b = box.new(x1, y2, x2, y1, xloc=xloc.bar_index, border_color=color.new(blockBorderColor, blockBorderOpacity)) box.set_bgcolor(b, color.new(blockFillColor, 100 - blockFillOpacity)) array.push(boxesArr, b) if showPOC pocPrice = (array.get(lows, pocIdx) + array.get(highs, pocIdx)) / 2.0 lnPOC = line.new(profileStart, pocPrice, rightEnd, pocPrice, xloc=xloc.bar_index, extend=extend.right, color=pocColor, width=pocWidth) array.push(linesArr, lnPOC) if showLabels lbPOC = label.new(rightEnd, pocPrice, "POC", xloc=xloc.bar_index, style=label.style_label_right, textcolor=color.white, color=pocColor) array.push(labelsArr, lbPOC) if showVA lnVAL = line.new(profileStart, VAL, rightEnd, VAL, xloc=xloc.bar_index, extend=extend.right, color=vaColor, width=vaWidth) lnVAH = line.new(profileStart, VAH, rightEnd, VAH, xloc=xloc.bar_index, extend=extend.right, color=vaColor, width=vaWidth) array.push(linesArr, lnVAL) array.push(linesArr, lnVAH) if showLabels lbVAH = label.new(rightEnd, VAH, "VAH", xloc=xloc.bar_index, style=label.style_label_right, textcolor=color.white, color=vaColor) lbVAL = label.new(rightEnd, VAL, "VAL", xloc=xloc.bar_index, style=label.style_label_right, textcolor=color.white, color=vaColor) array.push(labelsArr, lbVAH) array.push(labelsArr, lbVAL) if showVWAP and not na(anchoredVWAP) lnVW = line.new(profileStart, anchoredVWAP, rightEnd, anchoredVWAP, xloc=xloc.bar_index, extend=extend.right, color=vwapColor, width=vwapWidth) array.push(linesArr, lnVW) if showLabels lbVW = label.new(rightEnd, anchoredVWAP, "AVWAP", xloc=xloc.bar_index, style=label.style_label_right, textcolor=color.white, color=vwapColor) array.push(labelsArr, lbVW) // placeholder plot plot(na)
Indicatore Pine Script®
di Ninu3q
Cumulative Outperformance | viResearchCumulative Outperformance | viResearch Conceptual Foundation and Innovation The "Cumulative Outperformance" indicator by viResearch is a relative strength analysis tool designed to measure an asset’s cumulative performance against a chosen benchmark over a user-defined period. Rooted in comparative return analysis, this indicator allows traders and analysts to assess whether an asset is outperforming or underperforming a broader market or sector, offering insights into trend strength and leadership. Unlike traditional relative strength indicators that may rely on static ratio comparisons, this script uses cumulative return differentials to provide a more contextual understanding of long-term performance trends. A clean visual representation and dynamic text summary are provided to highlight not only the degree of outperformance but also the directional status — making it accessible to both novice and advanced users. Technical Composition and Calculation The indicator compares the cumulative returns of the selected asset and a benchmark symbol over a specified lookback period (length). Returns are calculated as the percent change from the current price to the price length bars ago. This differential is plotted and color-coded, with a baseline zero line to make outperformance and underperformance visually distinct. A dynamic table in the bottom-right corner displays real-time values for the benchmark symbol, the current outperformance percentage, and a status label (e.g., "Outperforming", "Underperforming", or "Even"). Additionally, a floating label is plotted directly on the chart to make the latest outperformance value immediately visible. Features and User Inputs The script includes the following customizable inputs: Start Date: Defines the point from which to begin tracking outperformance data. Length: The period over which cumulative returns are measured. Benchmark Symbol: Select any market index, stock, or crypto as the benchmark (e.g., INDEX:BTCUSD, SPX, etc.). Practical Applications This indicator is especially effective in: Identifying Market Leaders: Compare sectors, stocks, or altcoins against a leading benchmark to identify outperformers. Sector Rotation Strategies: Monitor when certain assets begin to outperform or lag behind the broader market. Cross-Market Analysis: Compare crypto pairs, equities, or commodities to their sector benchmarks to find relative strength opportunities. Visual Aids and Alerts A purple outperformance line highlights the degree of cumulative difference. A horizontal dotted white line marks the baseline (zero performance difference). Real-time table overlay updates the benchmark name, performance delta, and relative status. Alerts are built-in to notify users when assets begin to outperform or underperform, helping you stay ahead of major shifts. Advantages and Strategic Value Benchmark Flexibility: Analyze any asset class against any benchmark of your choice. Visual Clarity: Dynamic labels and tables make performance tracking intuitive and immediate. No Repainting: Calculations are based on closed bar data for consistent backtesting and real-time use. Summary and Usage Tips The "Cumulative Outperformance | viResearch" script offers a clean and effective way to visualize relative strength between any asset and its benchmark. By focusing on cumulative returns over time, it filters out short-term noise and gives a strategic view of long-term strength or weakness. Use this tool in combination with other momentum or trend-following indicators to refine your market entries and asset selection. Note: Backtests are based on past results and are not indicative of future performance.
Indicatore Pine Script®
di viResearch
Algo MA💎 (V.4.3)Algo MA💎 V.4.3 - Multi-EMA System with Advanced Candle Analysis **Algo MA💎 V.4.3** is a comprehensive trend analysis system that combines multiple EMA configurations with advanced candle coloring, support/resistance detection, and integrated trade management dashboards. This indicator provides a complete visual trading environment with sophisticated trend identification and portfolio tracking capabilities. **Core Innovation & Originality** This system uniquely integrates seven distinct analytical components: 1. **Dual-EMA Signal Engine** - Primary trend detection using 9/21 EMA crossovers with customizable sensitivity 2. **Advanced Candle Classification** - Multi-layer candle coloring with two sensitivity levels (violet/rose) based on ATR calculations 3. **Trend Confirmation System** - Secondary 20/50 EMA trend filter with dynamic cloud visualization 4. **Zero Lag EMA Implementation** - 144-period Zero Lag EMA with directional color coding for reduced lag trend analysis 5. **RSI Extreme Detection** - Overbought (75) and oversold (25) level identification with visual markers 6. **Dynamic Support/Resistance** - Pivot-based support and resistance level calculation with 50-bar lookback 7. **Integrated Trade Management** - Three customizable dashboard tables for real-time portfolio tracking **System Architecture & Functionality** **Primary Signal Generation:** The core system uses a 9-period EMA and 21-period EMA comparison to generate directional bias. When EMA9 > EMA21, the system indicates bullish conditions; when EMA9 < EMA21, it signals bearish conditions. This creates the foundation for all visual elements and trend analysis. **Advanced Candle Coloring Logic:** The system employs a sophisticated three-layer candle coloring approach: - **Green Candles**: EMA9 > EMA21 (bullish trend) - **Red Candles**: EMA9 < EMA21 (bearish trend) - **Violet Candles**: EMAs within sensitivity_violet * ATR(14) range (consolidation) - **Rose Candles**: EMAs within sensitivity_rose * ATR(14) range (tight consolidation) **Sensitivity-Based Classification:** Two independent sensitivity parameters allow fine-tuning of consolidation detection: - **Violet Sensitivity (0.3 default)**: Broader consolidation zones - **Rose Sensitivity (0.1 default)**: Tighter consolidation zones **Zero Lag EMA Implementation:** Uses advanced calculation: `zlema = ema(src + src - src , length)` where lag = floor((length-1)/2). This reduces the inherent lag of traditional EMAs while maintaining smoothness. **Trend Confirmation Framework:** The 20/50 EMA system provides trend context with visual cloud fills: - **Blue Cloud**: 20 EMA > 50 EMA (bullish trend environment) - **Red Cloud**: 20 EMA < 50 EMA (bearish trend environment) **Unique Visual Features** **Multi-Layer Candle System:** The indicator plots up to four candle layers simultaneously: 1. **Base Candles**: Primary EMA-based trend colors 2. **Violet Consolidation**: ATR-adjusted consolidation detection 3. **Rose Consolidation**: Tighter consolidation identification 4. **Bearish Overlay**: Optional bearish candle highlighting **Support/Resistance Detection:** Uses pivot point calculations with 50-bar left and right parameters: - **Green Lines**: Resistance levels from pivot highs - **Red Lines**: Support levels from pivot lows - **Dynamic Updates**: Lines adjust based on price action **RSI Extreme Markers:** - **Red Triangles**: First occurrence of RSI > 75 (overbought) - **Green Triangles**: First occurrence of RSI < 25 (oversold) **Integrated Dashboard System** **Trade Management Tables:** Three independent dashboard tables provide comprehensive trade tracking: - **Stock Information**: Ticker symbol and trade direction (BUY/SELL) - **Order Details**: Entry price, stop loss, and take profit levels - **Position Status**: Real-time trade monitoring with color-coded status **Dashboard Customization:** - **Positioning**: Bottom-right, bottom-center, bottom-left placement options - **Color Coding**: Green for BUY positions, red for SELL positions - **Manual Entry**: User-customizable fields for trade parameters **Volume Analysis Integration** **Volume Oscillator:** Implements short (5) and long (10) EMA volume comparison: `osc = 100 * (short_volume_ema - long_volume_ema) / long_volume_ema` This provides additional confirmation for trend strength and potential reversals. **Usage Instructions** **Trend Identification:** - **Primary Trend**: Monitor 9/21 EMA relationship and candle colors - **Trend Strength**: Observe Zero Lag EMA color (green=bullish, red=bearish) - **Trend Context**: Use 20/50 EMA cloud for higher timeframe bias **Entry Signal Recognition:** - **Bullish Setup**: Green candles + blue trend cloud + support level test - **Bearish Setup**: Red candles + red trend cloud + resistance level test - **Consolidation**: Violet/rose candles indicate ranging conditions **Risk Management Application:** - **Support/Resistance**: Use pivot levels for stop placement and targets - **RSI Extremes**: Monitor overbought/oversold conditions for reversal potential - **Dashboard Tracking**: Utilize tables for position management **Advanced Analysis:** - **Sensitivity Adjustment**: Modify violet/rose parameters for market volatility - **Multi-Timeframe**: Apply system across different timeframes for confluence - **Volume Confirmation**: Use volume oscillator for signal validation **Customization Options** **EMA Parameters:** - **Main Flow EMAs**: Adjustable 9/21 period settings - **Trend EMAs**: Customizable 20/50 period configuration - **Zero Lag EMA**: Modifiable 144-period length **Visual Settings:** - **Candle Display**: Toggle bearish candle overlay - **Trend Visualization**: Show/hide trend cloud and EMAs - **Support/Resistance**: Enable/disable pivot level display - **RSI Markers**: Control overbought/oversold triangle display **Dashboard Configuration:** - **Table Display**: Independent control for three dashboard tables - **Trade Details**: Customizable entry, stop, and target fields - **Position Status**: Manual BUY/SELL/neutral designation **Alert System** Built-in alert conditions for: - **Bullish Signal**: EMA9 crosses above EMA21 - **Bearish Signal**: EMA9 crosses below EMA21 **Important Considerations** This system works optimally in trending markets with clear directional bias. During consolidation periods, focus on violet/rose candle identification and range-bound strategies. The multiple EMA layers provide comprehensive trend analysis but may generate conflicting signals during choppy conditions. The dashboard tables serve as trade management tools but require manual input for position tracking. The system combines established EMA techniques with original sensitivity-based consolidation detection and advanced visual presentation methods. **Disclaimer**: This indicator is designed for educational and analytical purposes. The dashboard tables are for position tracking only and do not execute trades automatically. Past performance does not guarantee future results. Always implement proper risk management and consider multiple confirmation methods before making trading decisions.
Indicatore Pine Script®
di Heuchache
VWAP + Range Breakout (Pre-Signal for Manual Entry)WHAT IT DOES This tool highlights potential breakout opportunities when price sweeps the previous day’s high or low and aligns with VWAP and short-term range levels. It provides both pre-signals (early warnings) and confirmed signals (breakout closed) so traders can prepare before momentum accelerates. Works on all timeframes and across markets (indices, forex, crypto). Especially useful during active London and New York sessions. --- KEY FEATURES Daily sweep logic: previous day high/low as liquidity reference VWAP with cumulative calculation Adjustable range breakout levels Optional SMA trend filter Session filter (London / NY trading hours) Pre-Signal markers (early alert before breakout) Confirmed LONG/SHORT signals after breakout close Alerts for Pre-Long, Pre-Short, and Confirmed entries --- HOW TO USE 1. Wait for price to sweep the previous day high/low. 2. Look for alignment with VWAP and the defined range breakout levels. 3. Use trend/session filters for higher accuracy. 4. Combine with your own risk management rules. --- SETTINGS TIPS Adjust range lookback for different timeframes (shorter for fast intraday, longer for higher timeframes). Enable/disable session filters depending on your market. Use SMA trend filter to stay aligned with higher-timeframe bias. --- WHO IT’S FOR Scalpers, intraday, and swing traders who want early signals when liquidity is taken and price is preparing for a breakout. --- NOTES For educational purposes only. No financial advice. This script is open-source; redistribution follows TradingView rules.
Indicatore Pine Script®
di ChartEdgePro
1
Specter Trend Cloud [ChartPrime]⯁ OVERVIEW Specter Trend Cloud is a flexible moving-average–based trend tool that builds a colored “cloud” around market direction and highlights key retest opportunities. Using two adaptive MAs (short vs. long), offset by ATR for volatility adjustment, it shades the background with a gradient cloud that switches color on trend flips. When price pulls back to retest the short MA during an active trend, the script plots diamond markers and extends dotted levels from that retest price. If price later breaks through that level, the extension is terminated—giving traders a clean visual of valid vs. invalid retests. ⯁ KEY FEATURES Multi-MA Core Engine: Choose from SMA, EMA, SMMA (RMA), WMA, or VWMA as the base. The indicator tracks both a short-term MA (Length) and a longer twin (2 × Length). Volatility-Adjusted Offset: Both MAs are shifted by ATR(200) depending on trend direction—pulling them down in uptrends, up in downtrends—so the cloud reflects realistic breathing room instead of razor-thin bands. Gradient Trend Cloud: Between the two shifted MAs, the script fills a shaded region: • Aqua cloud = bullish trend • Orange cloud = bearish trend Gradient intensity increases toward the active edge, providing a visual sense of strength. Trend Flip Logic: A flip occurs whenever the short MA crosses above or below the long MA. The cloud instantly changes color and begins tracking the new regime. Retest Detection: During an ongoing trend (no flip), if price retests the short MA within a 5-bar “cooldown,” the tool: • Marks the retest with diamond shapes below/above the bar. • Draws a dotted horizontal line from the retest price, extending into the future. Automatic Level Termination: If price later closes through that dotted level, the line disappears—keeping only active, respected retest levels on your chart. ⯁ HOW IT WORKS (UNDER THE HOOD) MA Calculations: ma1 = MA(src, Length), ma2 = MA(src, 2 × Length). Trend = ma1 > ma2 (bull) or ma1 < ma2 (bear). ATR shift offsets both ma1 and ma2 by ±ATR depending on trend. Cloud Fill: Plots ma1 and ma2 (invisible for long MA). Uses fill() with semi-transparent aqua/orange gradient between the two. Retest Logic: • Bullish retest: ta.crossover(low, ma1) while trend = bull. • Bearish retest: ta.crossunder(high, ma1) while trend = bear. Only valid if at least 5 bars have passed since last retest. When triggered, it stores bar index and price, draws diamonds, and extends a dotted line. Level Clearing: If current high > retest upper line (bearish case) or low < retest lower line (bullish case), that line is deleted (stops extending). ⯁ USAGE Use the cloud color as the higher-level trend bias (aqua = long, orange = short). Look for diamonds + dotted lines as pullback/retest zones where trend continuation may launch. If a retest level holds and price rebounds, it strengthens confidence in the trend. If a retest level is broken, treat it as a warning of weakening trend or possible reversal. Experiment with MA Type (SMA vs. EMA, etc.) to align sensitivity with your asset or timeframe. Adjust Length for faster flips on low timeframes or smoother signals on higher ones. ⯁ CONCLUSION Specter Trend Cloud combines trend detection, volatility-adjusted shading, and retest visualization into a single tool. The gradient cloud provides instant clarity on direction, while diamonds and dotted retest levels give you tactical entry/retest zones that self-clean when invalidated. It’s a versatile trend-following and confirmation layer, adaptable across multiple assets and styles.
Indicatore Pine Script®
di ChartPrime
6
Chhatrapati Indicator by TradeNitiX (Nitin Hajare)⚔️ Chhatrapati Indicator by TradeNitiX A precision-driven trading system built to capture strong trends and avoid market noise. It blends range filtering, momentum checks, and volatility-based risk control for clean, confident entries and exits. 🔍 Core Strategy Components 1. Range Filter – Trend Detection 2. RSI – Momentum Confirmation 3. ADX – Trend Strength Filter 4. ATR – Volatility-Based Risk Management 💎 Highlights – Chhatrapati Indicator ✔ Display Profit/Loss values above each candle ✅ Clear Buy/Sell Signals – No guesswork, just precision entries and exits 📊 High Accuracy – Filters out false signals using multi-layer confirmation ⚡ Beginner-Friendly – Simple logic, powerful results for all skill levels 🔥 Multi-Market Compatibility – Works seamlessly on Forex, crypto, indices, stocks 🎯 Volatility-Based Risk Control – ATR-driven SL/TP for realistic, dynamic targets 🧠 Smart Trend Detection – Combines range filtering with ADX for strong setups 💡 Live Trade Demos – Real-time examples to build trader confidence 📈 Momentum + Strength Filters – RSI + ADX combo avoids weak or choppy trades 🛡️ Risk-Reward Focused – Built-in 3:1 RR logic for disciplined growth 🚀 Tested & Trusted – Proven results across multiple market conditions ⚙️ Key Advantages of Chhatrapati Indicator ✅ Noise-Free Trend Detection – Filters weak moves, locks onto strong trends 📊 RSI + ADX Confirmation – Only trades with real momentum and strength 🎯 ATR-Based Risk Control – Smart SL/TP placement, adapts to volatility ⏱️ Multi-Timeframe Ready – Works for scalping, swing, and intraday setups 👁️ Visual Clarity – Clean signals, SL/TP zones, and trend markers 🎯 Ideal Users ✔ Trend Followers – Ride strong moves with confidence ✔ Swing Traders – Target medium-term setups with solid RR ✔ Scalpers – Quick, precise entries with minimal noise ✔ Algo Traders – Use alerts for automated execution
Indicatore Pine Script®
di tradenitix
1
ICT Turtle Soup (Riz)The ICT Turtle Soup Complete System is an advanced implementation of the Inner Circle Trader's interpretation of the classic Turtle Soup pattern, designed to identify and trade liquidity sweeps at key market levels. This strategy capitalizes on the systematic stop-loss hunting behavior of institutional traders by detecting when price temporarily breaches significant support/resistance levels to trigger retail stop-losses, then quickly reverses direction. Core Trading Logic Liquidity Sweep Detection Method The strategy monitors five critical liquidity pools where retail traders commonly place stop-loss orders: ⦁ Yesterday's High/Low: Previous daily session extremes ⦁ Daily High/Low: Rolling 20-day period extremes ⦁ 4-Hour High/Low: 30-period extremes on 4H timeframe ⦁ 1-Hour High/Low: 50-period extremes on hourly timeframe ⦁ Recent High/Low: Current timeframe extremes (20-40 bars based on trading mode) Entry Signal Generation Process Buy Signal (Sell-Side Liquidity Sweep): 1. Price penetrates below a key support level by a minimum threshold (5-15 ticks depending on signal quality settings) 2. The penetration bar must show strong rejection with at least 30-50% of the candle's range closing back above the swept level 3. Multi-timeframe confirmation checks for structure shift on lower timeframe (break of recent swing high) 4. Confluence scoring system evaluates 7 factors, requiring minimum 3 confirmations: ⦁ Liquidity sweep detected (weighted 2x) ⦁ Higher timeframe bullish market structure ⦁ Lower timeframe bullish break of structure ⦁ Bullish Fair Value Gap presence ⦁ Bullish Order Block formation ⦁ ICT Kill Zone timing alignment Sell Signal (Buy-Side Liquidity Sweep): Mirror opposite of buy signal logic, detecting sweeps above resistance levels with bearish rejection. Risk Management & Position Sizing Stop Loss Placement: ⦁ Calculated using ATR (Average True Range) multiplied by an adaptive factor ⦁ Base multipliers: Scalping (1.0x), Day Trading (1.5x), Swing Trading (2.0x) ⦁ Further adjusted by signal quality: Conservative (-20%), Balanced (0%), Aggressive (+20%) ⦁ Positioned beyond the liquidity sweep point to avoid re-sweeping Take Profit Targets: ⦁ TP1: 2.0R (Risk-Reward ratio) ⦁ TP2: 3.5R ⦁ TP3: 5.0R ⦁ All levels rounded to tick precision for accurate order placement Advanced Features & Filters Multi-Timeframe Structure Analysis The system performs top-down analysis across three timeframes: ⦁ Higher Timeframe (HTF): Determines primary trend bias ⦁ Medium Timeframe (MTF): Confirms intermediate structure ⦁ Lower Timeframe (LTF): Identifies precise entry triggers ICT Kill Zones Incorporates time-based filtering for optimal trading sessions: ⦁ Asian Session (8PM-12AM UTC) ⦁ London Session (2AM-5AM UTC) ⦁ New York Session (7AM-10AM UTC) ⦁ London Close (10AM-12PM UTC) Smart Money Concepts Integration ⦁ Fair Value Gaps (FVG): Identifies and displays price inefficiencies that act as magnets ⦁ Order Blocks: Marks institutional accumulation/distribution zones ⦁ Mitigation Detection: Automatically removes FVGs and Order Blocks when price fills them ⦁ Duplicate Sweep Prevention: 10-bar lookback prevents multiple signals at same level Adaptive Trading Modes Three pre-configured modes automatically adjust all parameters: ⦁ Scalping: Tight stops, quick targets, 15-minute to 1-hour focus ⦁ Day Trading: Balanced approach, 4-hour to daily analysis ⦁ Swing Trading: Wide stops, extended targets, daily to weekly perspective ⦁ Custom Mode: Full manual control of all parameters Signal Quality Management ⦁ Conservative: Requires 5/7 confluence factors, tighter sweep threshold (5 ticks), 50% minimum rejection ⦁ Balanced: Standard 3/7 confluence, moderate threshold (10 ticks), 30% rejection ⦁ Aggressive: Only 2/7 confluence needed, wider threshold (15 ticks), 20% rejection Visual Components & Dashboard Real-Time Information Panel Displays current market conditions including: ⦁ Active trading mode and quality settings ⦁ Timeframe configuration (HTF/MTF/LTF) ⦁ Market bias from higher timeframes ⦁ Current kill zone status ⦁ Liquidity sweep detection status ⦁ Confluence scoring for both directions ⦁ Risk parameters and targets Trade Visualization ⦁ Entry, stop-loss, and three take-profit levels with precise price labels ⦁ Automatic cleanup when targets are hit or new signals appear ⦁ Maximum of one active setup displayed for chart clarity ⦁ Color-coded boxes for Fair Value Gaps and Order Blocks How to Use This Indicator Recommended Timeframes ⦁ Scalping Mode: 1-minute to 5-minute charts ⦁ Day Trading Mode: 5-minute to 15-minute charts ⦁ Swing Trading Mode: 1-hour to 4-hour charts Optimal Market Conditions ⦁ Works best in ranging or trending markets with clear support/resistance levels ⦁ Most effective during high-liquidity sessions (London/New York overlap) ⦁ Avoid using during major news events unless specifically targeting news-driven sweeps Signal Interpretation 1. Wait for triangle signal (up/down) with confluence score 2. Verify the swept level shown in the dashboard 3. Confirm risk-reward ratios match your trading plan 4. Enter at market or set limit order at indicated entry level 5. Place stop-loss and take-profit orders at displayed levels Customization Tips ⦁ Adjust Signal Quality based on market volatility (Conservative for volatile, Aggressive for quiet) ⦁ Modify sweep threshold if getting too many/few signals ⦁ Toggle individual liquidity levels based on their relevance to your timeframe ⦁ Use Kill Zone filter for session-specific trading Risk Disclaimer This indicator identifies potential trade setups based on liquidity sweep patterns but does not guarantee profitable outcomes. Past performance does not indicate future results. Always use proper risk management and never risk more than you can afford to lose. The indicator should be used as part of a comprehensive trading plan that includes your own analysis and risk tolerance assessment.
Indicatore Pine Script®
di RizwanFXCoder