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Indicatori e strategie

Omega Correlation [OmegaTools]Omega Correlation (Ω CRR) is a cross-asset analytics tool designed to quantify both the strength of the relationship between two instruments and the tendency of one to move ahead of the other. It is intended for traders who work with indices, futures, FX, commodities, equities and ETFs, and who require something more robust than a simple linear correlation line. The indicator operates in two distinct modes, selected via the “Show” parameter: Correlation and Anticipation. In Correlation mode, the script focuses on how tightly the current chart and the chosen second asset move together. In Anticipation mode, it shifts to a lead–lag perspective and estimates whether the second asset tends to behave as a leader or a follower relative to the symbol on the chart. In both modes, the core inputs are the chart symbol and a user-selected second symbol. Internally, both assets are transformed into normalized log-returns: the script computes logarithmic returns, removes short-term mean and scales by realized volatility, then clips extreme values. This normalisation allows the tool to compare behaviour across assets with different price levels and volatility profiles. In Correlation mode, the indicator computes a composite correlation score that typically ranges between –1 and +1. Values near +1 indicate strong and persistent positive co-movement, values near zero indicate an unstable or weak link, and values near –1 indicate a stable anti-correlation regime. The composite score is constructed from three components. The first component is a normalized return co-movement measure. After transforming both instruments into normalized returns, the script evaluates how similar those returns are bar by bar. When the two assets consistently deliver returns of similar sign and magnitude, this component is high and positive. When they frequently diverge or move in opposite directions, it becomes negative. This captures short-term co-movement in a volatility-adjusted way. The second component focuses on high–low swing alignment. Rather than looking only at closes, it examines the direction of changes in highs and lows for each bar. If both instruments are printing higher highs and higher lows together, or lower highs and lower lows together, the swing structure is considered aligned. Persistent alignment contributes positively to the correlation score, while repeated mismatches between the swing directions reduce it. This helps differentiate between superficial price noise and structural similarity in trend behaviour. The third component is a classical Pearson correlation on closing prices, computed over a longer lookback. This serves as a stabilising backbone that summarises general co-movement over a broader window. By combining normalized return co-movement, swing alignment and standard price correlation with calibrated weights, the Correlation mode provides a richer view than a single linear measure, capturing both short-term dynamic interaction and longer-term structural linkage. In Anticipation mode, Omega Correlation estimates whether the second asset tends to lead or lag the current chart. The output is again a continuous score around the range. Positive values suggest that the second asset is acting more as a leader, with its past moves bearing informative value for subsequent moves of the chart symbol. Negative values indicate that the second asset behaves more like a laggard or follower. Values near zero suggest that no stable lead–lag structure can be identified. The anticipation score is built from four elements inspired by quantitative lead–lag and price discovery analysis. The first element is a residual lead correlation, conceptually similar to Granger-style logic. The script first measures how much of the chart symbol’s normalized returns can be explained by its own lagged values. It then removes that component and studies the correlation between the residuals and lagged returns of the second asset. If the second asset’s past returns consistently explain what the chart symbol does beyond its own autoregressive behaviour, this residual correlation becomes significantly positive. The second element is an asymmetric lead–lag structure measure. It compares the strength of relationships in both directions across multiple lags: the correlation of the current symbol with lagged versions of the second asset (candidate leader) versus the correlation of lagged values of the current symbol with the present values of the second asset. If the forward direction (second asset leading the first) is systematically stronger than the backward direction, the structure is skewed toward genuine leadership of the second asset. The third element is a relative price discovery score, constructed by building a dynamic hedge ratio between the two prices and defining a spread. The indicator looks at how changes in each asset contribute to correcting deviations in this spread over time. When the chart symbol tends to do most of the adjustment while the second asset remains relatively stable, it suggests that the second asset is taking a greater role in determining the equilibrium price and the chart symbol is adjusting to it. The difference in adjustment intensity between the two instruments is summarised into a single score. The fourth element is a breakout follow-through causality component. The script scans for breakout events on the second asset, where its price breaks out of a recent high or low range while the chart symbol has not yet done so. It then evaluates whether the chart symbol subsequently confirms the breakout direction, remains neutral, or moves against it. Events where the second asset breaks and the first asset later follows in the same direction add positive contribution, while failed or contrarian follow-through reduce this component. The contribution is also lightly modulated by the strength of the breakout, via the underlying normalized return. The four elements of the Anticipation mode are combined into a single leading correlation score, providing a compact and interpretable measure of whether the second asset currently behaves as an effective early signal for the symbol you trade. To aid interpretation, Omega Correlation builds dynamic bands around the active series (correlation or anticipation). It estimates a long-term central tendency and a typical deviation around it, plotting upper and lower bands that highlight unusually high or low values relative to recent history. These bands can be used to distinguish routine fluctuations from genuinely extreme regimes. The script also computes percentile-based levels for the correlation series and uses them to track two special price levels on the main chart: lost correlation levels and gained correlation levels. When the correlation drops below an upper percentile threshold, the current price is stored as a lost correlation level and plotted as a horizontal line. When the correlation rises above a lower percentile threshold, the current price is stored as a gained correlation level. These levels mark zones where a historically strong relationship between the two markets broke down or re-emerged, and can be used to frame divergence, convergence and spread opportunities. An information panel summarises, in real time, whether the second asset is behaving more as a leading, lagging or independent instrument according to the anticipation score, and suggests whether the current environment is more conducive to de-alignment, re-alignment or classic spread behaviour based on the correlation regime. This makes the tool directly interpretable even for users who are not familiar with all the underlying statistical details. Typical applications for Omega Correlation include intermarket analysis (for example, index vs index, commodity vs related equity sector, FX vs bonds), dynamic hedge sizing, regime detection for algorithmic strategies, and the identification of lead–lag structures where a macro driver or benchmark can be monitored as an early signal for the instrument actually traded. The indicator can be applied across intraday and higher timeframes, with the understanding that the strength and nature of relationships will differ across horizons. Omega Correlation is designed as an advanced analytical framework, not as a standalone trading system. Correlation and lead–lag relationships are statistical in nature and can change abruptly, especially around macro events, regime shifts or liquidity shocks. A positive anticipation reading does not guarantee that the second asset will always move first, and a high correlation regime can break without warning. All outputs of this tool should be combined with independent analysis, sound risk management and, when appropriate, backtesting or forward testing on the user’s specific instruments and timeframes. The intention behind Omega Correlation is to bring techniques inspired by quantitative research, such as normalized return analysis, residual correlation, asymmetric lead–lag structure, price discovery logic and breakout event studies, into an accessible TradingView indicator. It is intended for traders who want a structured, professional way to understand how markets interact and to incorporate that information into their discretionary or systematic decision-making processes.
Indicatore Pine Script®
di OmegaTools
Stratégie SMC V18.2 (BTC/EUR FINAL R3 - Tendance)This strategy is an automated implementation of Smart Money Concepts (SMC), designed to operate on the Bitcoin/Euro (BTC/EUR) chart using the 15-minute Timeframe (M15).It focuses on identifying high-probability zones (Order Blocks) after a confirmed Break of Structure (BOS) and a Liquidity Sweep, utilizing an H1/EMA 200 trend filter to only execute trades in the direction of the dominant market flow.Risk management is strict: every trade uses a fixed Risk-to-Reward Ratio (R:R) of 1:3.🧱 Core Logic Components 1. Trend Filter (H1/EMA 200)Objective: To avoid counter-trend entries, which has allowed the success rate to increase to nearly $65\%$ in backtests.Mechanism: A $200$-period EMA is plotted on a higher timeframe (Default: H1/60 minutes).Long (Buy): Entry is only permitted if the current price (M15) is above the trend EMA.Short (Sell): Entry is only permitted if the current price (M15) is below the trend EMA. 2. Order Block (OB) DetectionA potential Order Block is identified on the previous candle if it is accompanied by an inefficiency (FVG - Fair Value Gap). 3. Advanced SMC ValidationBOS (Break of Structure): A recent BOS must be confirmed by breaking the swing high/low defined by the swing length (Default: 4 M15 candles).Liquidity (Liquidity Sweep): The Order Block zone must have swept recent liquidity (defined by the Liquidity Search Length) within a certain tolerance (Default: $0.1\%$).Point of Interest: The OB must form in a premium zone (for shorts) or a discount zone (for longs) relative to the current swing range (above or below the $50\%$ level of the range). 4. Execution and Risk ManagementEntry: The trade is triggered when the price touches the active Order Block (mitigation).Stop Loss (SL): The SL is fixed at the low of the OB (for longs) or the high of the OB (for shorts).Take Profit (TP): The TP is strictly set at a level corresponding to 3 times the SL distance (R:R 1:3).Lot Sizing: The trade quantity is calculated to risk a fixed amount (Default: 2.00 Euros) per transaction, capped by a Lot Max and Lot Min defined by the user. Input Parameters (Optimized for BTC/EUR M15)Users can adjust these parameters to modify sensitivity and risk profile. The default values are those optimized for the high-performing backtest (Profit Factor $> 3$).ParameterDescriptionDefault Value (M15)Long. Swing (BOS)Candle length used to define the swing (and thus the BOS).4Long. Recherche Liq.Number of candles to scan to confirm a liquidity sweep.7Tolérance Liq. (%)Price tolerance to validate the liquidity sweep (as a percentage of price).0.1Timeframe TendanceChart timeframe used for the EMA filter (e.g., 60 = H1).60 (H1)Longueur EMA TendancePeriods used for the trend EMA.200Lot Max (Quantité Max BTC)Maximum quantity of BTC the strategy is allowed to trade.0.01Lot Min Réel (Exigence Broker)Minimum quantity required by the broker/exchange.0.00001
Strategia Pine Script®
di rico2956
لbsm15// This work is licensed under a Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) creativecommons.org // © LuxAlgo //@version=5 indicator("لbsm15", overlay = true, max_lines_count = 500, max_boxes_count = 500, max_bars_back = 3000) //------------------------------------------------------------------------------ //Settings //-----------------------------------------------------------------------------{ liqGrp = 'Liquidity Detection' liqLen = input.int (7, title = 'Detection Length', minval = 3, maxval = 13, inline = 'LIQ', group = liqGrp) liqMar = 10 / input.float (6.9, 'Margin', minval = 4, maxval = 9, step = 0.1, inline = 'LIQ', group = liqGrp) liqBuy = input.bool (true, 'Buyside Liquidity Zones, Margin', inline = 'Buyside', group = liqGrp) marBuy = input.float(2.3, '', minval = 1.5, maxval = 10, step = .1, inline = 'Buyside', group = liqGrp) cLIQ_B = input.color (color.new(#4caf50, 0), '', inline = 'Buyside', group = liqGrp) liqSel = input.bool (true, 'Sellside Liquidity Zones, Margin', inline = 'Sellside', group = liqGrp) marSel = input.float(2.3, '', minval = 1.5, maxval = 10, step = .1, inline = 'Sellside', group = liqGrp) cLIQ_S = input.color (color.new(#f23645, 0), '', inline = 'Sellside', group = liqGrp) lqVoid = input.bool (false, 'Liquidity Voids, Bullish', inline = 'void', group = liqGrp) cLQV_B = input.color (color.new(#4caf50, 0), '', inline = 'void', group = liqGrp) cLQV_S = input.color (color.new(#f23645, 0), 'Bearish', inline = 'void', group = liqGrp) lqText = input.bool (false, 'Label', inline = 'void', group = liqGrp) mode = input.string('Present', title = 'Mode', options = , inline = 'MOD', group = liqGrp) visLiq = input.int (3, '    # Visible Levels', minval = 1, maxval = 50, inline = 'MOD', group = liqGrp) //-----------------------------------------------------------------------------} //General Calculations //-----------------------------------------------------------------------------{ maxSize = 50 atr = ta.atr(10) atr200 = ta.atr(200) per = mode == 'Present' ? last_bar_index - bar_index <= 500 : true //-----------------------------------------------------------------------------} //User Defined Types //-----------------------------------------------------------------------------{ // @type used to store pivot high/low data // // @field d (array) The array where the trend direction is to be maintained // @field x (array) The array where the bar index value of pivot high/low is to be maintained // @field y (array) The array where the price value of pivot high/low is to be maintained type ZZ int d int x float y // @type bar properties with their values // // @field o (float) open price of the bar // @field h (float) high price of the bar // @field l (float) low price of the bar // @field c (float) close price of the bar // @field i (int) index of the bar type bar float o = open float h = high float l = low float c = close int i = bar_index // @type liquidity object definition // // @field bx (box) box maitaing the liquity level margin extreme levels // @field bxz (box) box maitaing the liquity zone margin extreme levels // @field bxt (box) box maitaing the labels // @field brZ (bool) mainains broken zone status // @field brL (bool) mainains broken level status // @field ln (line) maitaing the liquity level line // @field lne (line) maitaing the liquity extended level line type liq box bx box bxz box bxt bool brZ bool brL line ln line lne //-----------------------------------------------------------------------------} //Variables //-----------------------------------------------------------------------------{ var ZZ aZZ = ZZ.new( array.new (maxSize, 0), array.new (maxSize, 0), array.new (maxSize, na) ) bar b = bar.new() var liq b_liq_B = array.new (1, liq.new(box(na), box(na), box(na), false, false, line(na), line(na))) var liq b_liq_S = array.new (1, liq.new(box(na), box(na), box(na), false, false, line(na), line(na))) var b_liq_V = array.new_box() var int dir = na, var int x1 = na, var float y1 = na, var int x2 = na, var float y2 = na //-----------------------------------------------------------------------------} //Functions/methods //-----------------------------------------------------------------------------{ // @function maintains arrays // it prepends a `value` to the arrays and removes their oldest element at last position // @param aZZ (UDT, array, array>) The UDT obejct of arrays // @param _d (array) The array where the trend direction is maintained // @param _x (array) The array where the bar index value of pivot high/low is maintained // @param _y (array) The array where the price value of pivot high/low is maintained // // @returns none method in_out(ZZ aZZ, int _d, int _x, float _y) => aZZ.d.unshift(_d), aZZ.x.unshift(_x), aZZ.y.unshift(_y), aZZ.d.pop(), aZZ.x.pop(), aZZ.y.pop() // @function (build-in) sets the maximum number of bars that is available for historical reference max_bars_back(time, 1000) //-----------------------------------------------------------------------------} //Calculations //-----------------------------------------------------------------------------{ x2 := b.i - 1 ph = ta.pivothigh(liqLen, 1) pl = ta.pivotlow (liqLen, 1) if ph dir := aZZ.d.get(0) x1 := aZZ.x.get(0) y1 := aZZ.y.get(0) y2 := nz(b.h ) if dir < 1 aZZ.in_out(1, x2, y2) else if dir == 1 and ph > y1 aZZ.x.set(0, x2), aZZ.y.set(0, y2) if per count = 0 st_P = 0. st_B = 0 minP = 0. maxP = 10e6 for i = 0 to maxSize - 1 if aZZ.d.get(i) == 1 if aZZ.y.get(i) > ph + (atr / liqMar) break else if aZZ.y.get(i) > ph - (atr / liqMar) and aZZ.y.get(i) < ph + (atr / liqMar) count += 1 st_B := aZZ.x.get(i) st_P := aZZ.y.get(i) if aZZ.y.get(i) > minP minP := aZZ.y.get(i) if aZZ.y.get(i) < maxP maxP := aZZ.y.get(i) if count > 2 getB = b_liq_B.get(0) if st_B == getB.bx.get_left() getB.bx.set_top(math.avg(minP, maxP) + (atr / liqMar)) getB.bx.set_rightbottom(b.i + 10, math.avg(minP, maxP) - (atr / liqMar)) else b_liq_B.unshift( liq.new( box.new(st_B, math.avg(minP, maxP) + (atr / liqMar), b.i + 10, math.avg(minP, maxP) - (atr / liqMar), bgcolor=color(na), border_color=color(na)), box.new(na, na, na, na, bgcolor = color(na), border_color = color(na)), box.new(st_B, st_P, b.i + 10, st_P, text = 'Buyside liquidity', text_size = size.tiny, text_halign = text.align_left, text_valign = text.align_bottom, text_color = color.new(cLIQ_B, 25), bgcolor = color(na), border_color = color(na)), false, false, line.new(st_B , st_P, b.i - 1, st_P, color = color.new(cLIQ_B, 0)), line.new(b.i - 1, st_P, na , st_P, color = color.new(cLIQ_B, 0), style = line.style_dotted)) ) alert('buyside liquidity level detected/updated for ' + syminfo.ticker) if b_liq_B.size() > visLiq getLast = b_liq_B.pop() getLast.bx.delete() getLast.bxz.delete() getLast.bxt.delete() getLast.ln.delete() getLast.lne.delete() if pl dir := aZZ.d.get (0) x1 := aZZ.x.get (0) y1 := aZZ.y.get (0) y2 := nz(b.l ) if dir > -1 aZZ.in_out(-1, x2, y2) else if dir == -1 and pl < y1 aZZ.x.set(0, x2), aZZ.y.set(0, y2) if per count = 0 st_P = 0. st_B = 0 minP = 0. maxP = 10e6 for i = 0 to maxSize - 1 if aZZ.d.get(i) == -1 if aZZ.y.get(i) < pl - (atr / liqMar) break else if aZZ.y.get(i) > pl - (atr / liqMar) and aZZ.y.get(i) < pl + (atr / liqMar) count += 1 st_B := aZZ.x.get(i) st_P := aZZ.y.get(i) if aZZ.y.get(i) > minP minP := aZZ.y.get(i) if aZZ.y.get(i) < maxP maxP := aZZ.y.get(i) if count > 2 getB = b_liq_S.get(0) if st_B == getB.bx.get_left() getB.bx.set_top(math.avg(minP, maxP) + (atr / liqMar)) getB.bx.set_rightbottom(b.i + 10, math.avg(minP, maxP) - (atr / liqMar)) else b_liq_S.unshift( liq.new( box.new(st_B, math.avg(minP, maxP) + (atr / liqMar), b.i + 10, math.avg(minP, maxP) - (atr / liqMar), bgcolor=color(na), border_color=color(na)), box.new(na, na, na, na, bgcolor=color(na), border_color=color(na)), box.new(st_B, st_P, b.i + 10, st_P, text = 'Sellside liquidity', text_size = size.tiny, text_halign = text.align_left, text_valign = text.align_top, text_color = color.new(cLIQ_S, 25), bgcolor=color(na), border_color=color(na)), false, false, line.new(st_B , st_P, b.i - 1, st_P, color = color.new(cLIQ_S, 0)), line.new(b.i - 1, st_P, na , st_P, color = color.new(cLIQ_S, 0), style = line.style_dotted)) ) alert('sellside liquidity level detected/updated for ' + syminfo.ticker) if b_liq_S.size() > visLiq getLast = b_liq_S.pop() getLast.bx.delete() getLast.bxz.delete() getLast.bxt.delete() getLast.ln.delete() getLast.lne.delete() for i = 0 to b_liq_B.size() - 1 x = b_liq_B.get(i) if not x.brL x.lne.set_x2(b.i) if b.h > x.bx.get_top() x.brL := true x.brZ := true alert('buyside liquidity level breached for ' + syminfo.ticker) x.bxz.set_lefttop(b.i - 1, math.min(x.ln.get_y1() + marBuy * (atr), b.h)) x.bxz.set_rightbottom(b.i + 1, x.ln.get_y1()) x.bxz.set_bgcolor(color.new(cLIQ_B, liqBuy ? 73 : 100)) else if x.brZ if b.l > x.ln.get_y1() - marBuy * (atr) and b.h < x.ln.get_y1() + marBuy * (atr) x.bxz.set_right(b.i + 1) x.bxz.set_top(math.max(b.h, x.bxz.get_top())) if liqBuy x.lne.set_x2(b.i + 1) else x.brZ := false for i = 0 to b_liq_S.size() - 1 x = b_liq_S.get(i) if not x.brL x.lne.set_x2(b.i) if b.l < x.bx.get_bottom() x.brL := true x.brZ := true alert('sellside liquidity level breached for ' + syminfo.ticker) x.bxz.set_lefttop(b.i - 1, x.ln.get_y1()) x.bxz.set_rightbottom(b.i + 1, math.max(x.ln.get_y1() - marSel * (atr), b.l)) x.bxz.set_bgcolor(color.new(cLIQ_S, liqSel ? 73 : 100)) else if x.brZ if b.l > x.ln.get_y1() - marSel * (atr) and b.h < x.ln.get_y1() + marSel * (atr) x.bxz.set_rightbottom(b.i + 1, math.min(b.l, x.bxz.get_bottom())) if liqSel x.lne.set_x2(b.i + 1) else x.brZ := false if lqVoid and per bull = b.l - b.h > atr200 and b.l > b.h and b.c > b.h bear = b.l - b.h > atr200 and b.h < b.l and b.c < b.l if bull l = 13 if bull st = math.abs(b.l - b.l ) / l for i = 0 to l - 1 array.push(b_liq_V, box.new(b.i - 2, b.l + i * st, b.i, b.l + (i + 1) * st, border_color = na, bgcolor = color.new(cLQV_B, 90) )) else st = math.abs(b.l - b.h ) / l for i = 0 to l - 1 if lqText and i == 0 array.push(b_liq_V, box.new(b.i - 2, b.h + i * st, b.i, b.h + (i + 1) * st, text = 'Liquidity Void ', text_size = size.tiny, text_halign = text.align_right, text_valign = text.align_bottom, text_color = na, border_color = na, bgcolor = color.new(cLQV_B, 90) )) else array.push(b_liq_V, box.new(b.i - 2, b.h + i * st, b.i, b.h + (i + 1) * st, border_color = na, bgcolor = color.new(cLQV_B, 90) )) if bear l = 13 if bear st = math.abs(b.h - b.h) / l for i = 0 to l - 1 array.push(b_liq_V, box.new(b.i - 2, b.h + i * st, b.i, b.h + (i + 1) * st, border_color = na, bgcolor = color.new(cLQV_S, 90) )) else st = math.abs(b.l - b.h) / l for i = 0 to l - 1 if lqText and i == l - 1 array.push(b_liq_V, box.new(b.i - 2, b.h + i * st, b.i, b.h + (i + 1) * st, text = 'Liquidity Void ', text_size = size.tiny, text_halign = text.align_right, text_valign = text.align_top, text_color = na, border_color = na, bgcolor = color.new(cLQV_S, 90) )) else array.push(b_liq_V, box.new(b.i - 2, b.h + i * st, b.i, b.h + (i + 1) * st, border_color = na, bgcolor = color.new(cLQV_S, 90) )) if b_liq_V.size() > 0 qt = b_liq_V.size() for bn = qt - 1 to 0 if bn < b_liq_V.size() cb = b_liq_V.get(bn) ba = math.avg(cb.get_bottom(), cb.get_top()) if math.sign(b.c - ba) != math.sign(b.c - ba) or math.sign(b.c - ba) != math.sign(b.l - ba) or math.sign(b.c - ba) != math.sign(b.h - ba) b_liq_V.remove(bn) else cb.set_right(b.i + 1) if b.i - cb.get_left() > 21 cb.set_text_color(color.new(color.gray, 25)) //-----------------------------------------------------------------------------}
Indicatore Pine Script®
di bsamasaeid11
stock-vs-industry using NQUSB benchmark idexesOriginal idea from Stock versus Industry by Tr33man . ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ═══ PRIMARY IMPROVEMENT: NQUSB Hierarchical Index Benchmarks ═══ The KEY improvement: Multi-Level Industry Granularity with Drill-Down/Drill-Up Navigation From: Simple ETF Comparison (1 Level) Stock → Industry ETF (e.g., "SOXX" for all semiconductors) To: NQUSB Hierarchical Comparison (4 Levels) Level 4 (Primary): NQUSB10102010 → Semiconductors (most specific) Level 3 (Secondary): NQUSB101020 → Technology Hardware and Equipment Level 2 (Tertiary): NQUSB101010 → Software and Computer Services Level 1 (Quaternary): NQUSB10 → Technology (broadest sector) Users can now drill up and down the industry hierarchy to see how their stock performs against different levels of industry classification! ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ═══ WHY THIS MATTERS ═══ Original Limitations: Single comparison level - ETF only No drill-down capability - Can't zoom in to more specific industries No drill-up capability - Can't zoom out to broader sectors ETF limitations - Not all industries have dedicated ETFs Arbitrary mappings - Manual ETF selection may not represent true industry Improved Capabilities: 4-level hierarchical navigation - Drill-down and drill-up through industry classifications 361 NQUSB official indices - NASDAQ US Benchmark Index structure Official NASDAQ classification - Industry-standard taxonomy Large Mid Cap (LM) option - Focus on larger companies when needed Enhanced UI - Clear level indicators and full index descriptions ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ═══ EXAMPLE: ANALYZING NVDA (Semiconductors) ═══ Level 4 - Primary (Most Specific): NQUSB10102010 - Semiconductors → NVDA vs. AMD, AVGO, QCOM, TXN, etc. (direct competitors) Level 3 - Secondary (Broader): NQUSB101020 - Tech Hardware & Equipment → NVDA vs. AAPL, CSCO + semiconductors Level 2 - Tertiary (Even Broader): NQUSB101010 - Software and Computer Services → NVDA vs. all tech hardware Level 1 - Quaternary (Broadest): NQUSB10 - Technology Sector → NVDA vs. entire technology sector You can now zoom in to see direct competitors or zoom out to understand macro sector trends - all in one indicator! ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ═══ COMPARISON SUMMARY ═══ Original Version: Comparison System: Industry ETFs Industry Levels: 1 (flat ETF mapping) Total Classifications: ~140 industries Hierarchy Navigation: ❌ No Data Source: Manual ETF curation Improved Version: Comparison System: NQUSB Official Indices Industry Levels: 4 (hierarchical drill-down/up) Total Classifications: 361 NQUSB indices Hierarchy Navigation: ✅ 4-level drill navigation Data Source: NASDAQ official taxonomy Large/Mid Cap Option: ✅ LM variant toggle Level Indicator: ✅ to labels ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ═══ ADDITIONAL FEATURES ═══ Dual Comparison System - Toggle between ETF mode (original) and Index Benchmark mode (NQUSB hierarchy) Better Fallback Logic - Manual Override > NQUSB Index > ETF > SPY default Enhanced Display - 4-row information table with full NQUSB index description Backward Compatible - All original ETF mappings still work, existing charts won't break Large Mid Cap Toggle - Optional "LM" suffix for focusing on larger companies only ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ For complete documentation, data files, technical details, and the full NQUSB hierarchy structure, visit the GitHub repository. The result: More accurate, more flexible, and more comprehensive industry strength analysis - enabling traders to understand exactly where their stock's performance comes from by drilling through multiple levels of industry classification.
Indicatore Pine Script®
di ama0000
SuperTrend Zone Rejection [STRZ] CONCEPT - This indicator identifies trend-continuation setups by combining the Super Trend with dynamic Average True Range (ATR) value zones. It highlights specific price action behaviour's—specifically wick rejections and momentum closes—that occur during pullbacks into the trend baseline. HOW IT WORKS - The script operates on three logic gates: >> Trend Filter: Uses a standard Super Trend (Factor 3, Period 10 default) to define market direction. >> Dynamic Zones: Projects a volatility-based zone (default 2.0x ATR) above or below the Super Trend line to define a valid pullback area. >> Signal Detection: Identifies specific candle geometries occurring within these zones. >> Rejection: Candles with significant wicks testing the zone support/resistance. >> Momentum: Candles that open within the zone and close in the upper/lower quartile of their range. FEATURES - >> Dynamic Channel: Visualizes the active buy/sell zone using a continuous, non-repainting box. >> Volatile Filtering: Filters out low-volatility candles (doji's/noise) based on minimum ATR size. >> Visuals: Color-coded trend visualization with distinct signal markers for qualified entries. SETTINGS - >> Super Trend: Adjustable Factor and ATR Period. >> Zone Multiplier: Controls the width of the pullback zone relative to ATR. >> Visuals: Customizable colours for zones and signals to fit light/dark themes.
Indicatore Pine Script®
di siddarth_banakar3
Dual MACD AccelerationDual MACD Acceleration Indicator – Synopsis Purpose: This indicator identifies early momentum shifts in the market by comparing a fast MACD (8/20/6) with a slower MACD (12/26/9). It highlights potential strong buy and sell signals when the faster MACD crosses the slower MACD, allowing traders to catch trend accelerations before the full move develops. Components Fast MACD (8/20/6) Responds quickly to short-term price changes. Detects early momentum shifts. Slow MACD (12/26/9) Captures the dominant trend. Provides a smoother reference for comparison. Acceleration Signals Long (▲): Fast MACD crosses above Slow MACD → potential bullish acceleration. Short (▼): Fast MACD crosses below Slow MACD → potential bearish acceleration. Zero Line Optional visual reference for overall trend direction. Crosses above zero = bullish trend, below zero = bearish trend. Key Features Clean, minimal chart display. Optional toggles to show/hide each MACD line. Label markers indicate crossovers. Built-in alert conditions for automated notifications. Trading Use Trend Confirmation: Best used with higher timeframe filters (VWAP or EMAs) to avoid fakeouts. Entry Timing: Enter on the first pullback after a crossover signal. Only trade in the direction of the dominant trend. Stops & Risk: Use recent swing lows/highs for stop placement. TP levels can be structure-based or trailing with price momentum. Synopsis Summary: The Dual MACD Acceleration Indicator is a lightweight, early-momentum tool designed for scalpers and short-term traders. It captures fast shifts in trend by comparing a faster and slower MACD, highlighting strong buy and sell opportunities while remaining clean and easy to read. For higher accuracy, combine with trend filters like VWAP or EMAs.
Indicatore Pine Script®
di Simon20cent
Multi-Ticker Anchored CandlesMulti-Ticker Anchored Candles (MTAC) is a simple tool for overlaying up to 3 tickers onto the same chart. This is achieved by interpreting each symbol's OHLC data as percentages, then plotting their candle points relative to the main chart's open. This allows for a simple comparison of tickers to track performance or locate relationships between them. > Background The concept of multi-ticker analysis is not new, this type of analysis can be extremely helpful to get a gauge of the over all market, and it's sentiment. By analyzing more than one ticker at a time, relationships can often be observed between tickers as time progresses. While seeing multiple charts on top of each other sounds like a good idea...each ticker has its own price scale, with some being only cents while others are thousands of dollars. Directly overlaying these charts is not possible without modification to their sources. By using a fixed point in time (Period Open) and percentage performance relative to that point for each ticker, we are able to directly overlay symbols regardless of their price scale differences. The entire process used to make this indicator can be summed up into 2 keywords, "Scaling & Anchoring". > Scaling First, we start by determining a frame of reference for our analysis. The indicator uses timeframe inputs to determine sessions which are used, by default this is set to 1 day. With this in place, we then determine our point of reference for scaling. While this could be any point in time, the most sensible for our application is the daily (or session) open. Each symbol shares time, therefore, we can take a price point from a specified time (Opening Price) and use it to sync our analysis over each period. Over the day, we track the percentage performance of each ticker's OHLC values relative to its daily open (% change from open). Since each ticker's data is now tracked based on its opening price, all data is now using the same scale. The scale is simply "% change from open". > Anchoring Now that we have our scaled data, we need to put it onto the chart. Since each point of data is relative to it's daily open (anchor point), relatively speaking, all daily opens are now equal to each other. By adding the scaled ticker data to the main chart's daily open, each of our resulting series will be properly scaled to the main chart's data based on percentages. Congratulations, We have now accurately scaled multiple tickers onto one chart. > Display The indicator shows each requested ticker as different colored candlesticks plotted on top of the main chart. Each ticker has an associated label in front of the current bar, each component of this label can be toggled on or off to allow only the desired information to be displayed. To retain relevance, at the start of each session, a "Session Break" line is drawn, as well as the opening price for the session. These can also be toggled. Note: The opening price is the opening price for ALL tickers, when a ticker crosses the open on the main chart, it is crossing its own opening price as well. > Examples In the chart below, we can see NYSE:MCD NASDAQ:WEN and NASDAQ:JACK overlaid on a NASDAQ:SBUX chart. From this, we can see NASDAQ:JACK was the top gainer on the day. While this was the case, it also fell roughly 4% from its peak near lunchtime. Unlike the top gainer, we can see the other 3 tickers ended their day near their daily high. In the explanations above, the daily timeframe is used since it is the default; however, the analysis is not constrained to only days. The anchoring period can be set to any timeframe period. In the chart below, you can observe the Daily, Weekly, and Monthly anchored charts side-by-side. This can be used on all tickers, timeframes, and markets. While a typical application may be comparing relevant assets... the script is not limited. Below we have a chart tracking COMEX:GCV2026 , FX:EURUSD , and COINBASE:DOGEUSD on the AMEX:SPY chart. While these tickers are not typically compared side-by-side, here it is simply a display of the capabilities of the script. Enjoy!
Indicatore Pine Script®
di SamRecio
BOS and CHoCHThe market never moves in a straight line. It moves in waves. It makes a High, comes down a bit (Low), then breaks the previous High to make a new High. Similarly, It makes a Low, goes up a bit (High), then breaks the previous Low to make a new Low. BOS (Break Of Structure) - Trend Continuation BOS means the market is continuing its current trend. If the market is in an Uptrend and breaks the old "High" -> Bullish BOS. If the market is in a Downtrend and breaks the old "Low" -> Bearish BOS. 3. CHOCH (Change Of Character) - Trend Reversal CHOCH means the mood of the market has changed. For the first time, the trend has shifted its nature. Bullish to Bearish CHOCH: The market was making Higher Highs, but suddenly it broke its previous "Low". Now the market can fall. Bearish to Bullish CHOCH: The market was falling (Lower Lows), but suddenly it broke its previous "High". Now the market can rise. BOS: Confirms the trend (Breaking the ceiling to go higher). CHOCH: Signals a trend change (Slipping and falling below the previous floor).
Indicatore Pine Script®
di Stable_Logic
TheStrat Failed 2 + 2 Continuation FTFC AlignmentTheStrat “Failed 2 + FTFC Alignment” spots a specific reversal/continuation pattern and layers on higher-timeframe confirmation so newer traders can focus on clean, high-probability setups. WHAT IT LOOKS FOR - A Failed 2 bar (price breaks the prior high/low but closes back through its open). • Failed 2D (bullish): price takes out the previous low but finishes green. • Failed 2U (bearish): price takes out the previous high but finishes red. - The very next bar must be a true “2” continuation in the opposite direction (2U after a Failed 2D or 2D after a Failed 2U). This is the classic “2-2 reversal/continuation” from TheStrat playbook. WHY IT MATTERS When a failed 2 immediately resolves into a clean 2, it signals that buyers or sellers have seized control. These moves often become momentum pushes, especially if the broader timeframes agree. HIGHER-TIMEFRAME FILTER - Checks Monthly, Weekly, and 3-Day opens in real time. - Bull signals only pass when all three are above their opens (full timeframe continuity up). - Bear signals only pass when all three are below their opens (full timeframe continuity down). WHAT YOU GET - Optional labels that mark Failed 2 bars and the confirmed 2-2 signals. - A compact “FTFC” icon on the exact bar where the continuation qualifies. - Toggleable intrabar and bar-close alerts (select “Any alert() function call” for real-time alerts). - A mini panel showing Monthly/Weekly/3-Day arrows so you can verify FTFC at a glance. - Settings to require the continuation candle to be the same color as the failed bar for extra confirmation. HOW TO USE 1. Add the script to your chart and confirm the panel arrows are aligned when icons appear. 2. Turn on the bar-close alert conditions for confirmed signals, or enable intrabar alerts for early warnings. 3. Combine the signal with your entry/stop rules (e.g., trigger on break of the signal bar and use the prior swing for risk). This script serves as training wheels for traders learning TheStrat by automatically filtering for high-quality Failed-2 → 2 reversals that align across multiple timeframes.
Indicatore Pine Script®
di LorPlant
Dynamic Support and Resistance with Trend LinesMain Purpose The indicator identifies and visualizes dynamic support and resistance levels using multiple strategies, plus it includes trend analysis and trading signals. Key Components: 1. Two Support/Resistance Strategies: Strategy A: Matrix Climax Identifies the top 10 (configurable) most significant support and resistance levels Uses a "matrix" calculation method to find price levels where the market has historically reacted Shows these as horizontal lines or zones on the chart Strategy B: Volume Extremes Finds support/resistance levels based on volume analysis Looks for areas where extreme volume occurred, which often become key price levels 2. Two Trend Line Systems: Trend Line 1: Pivot Span Draws trend lines connecting pivot high and pivot low points Uses configurable pivot parameters (left: 5, right: 5 bars) Creates a channel showing the trend direction Styled in pink/purple with dashed lines Trend Line 2: 5-Point Channel Creates a channel based on 5 pivot points Provides another perspective on trend direction Solid lines in pink/purple 3. Trading Signals: Buy Signal: Triggers when Fast EMA (9-period) crosses above Slow EMA (21-period) Sell Signal: Triggers when Fast EMA crosses below Slow EMA Displays visual shapes (labels) on the chart Includes alert conditions you can set up in TradingView 4. Visual Features: Dashboard: Shows key information in a table (top-right by default) Visual Matrix Map: Displays a heat map of support/resistance zones Color themes: Dark Mode or Light Mode Timezone adjustment: For accurate time display 5. Customization Options: Universal lookback length (100 bars default) Projection bars (26 bars forward) Adjustable transparency for different elements Multiple calculation methods available Fully customizable colors and line styles What Traders Use This For: Entry/Exit Points: The EMA crossovers provide clear buy/sell signals Risk Management: Support/resistance levels help set stop-losses and take-profit targets Trend Confirmation: Multiple trend lines confirm trend direction Key Price Levels: Identifies where price is likely to react (bounce or break through) The indicator is quite feature-rich and combines technical analysis elements (pivots, EMAs, volume, support/resistance) into one comprehensive tool for trading decisions.
Indicatore Pine Script®
di wateriskey6689
Breakout with Alma & Slope - for high volatility playSometimes best not to overthink, buy at line crosses ;) NFA, DYOR best for 15m-1Hr, high volatility FX,Gold etc Long only when 3 conditions met:- - Fast Alma crosses Slow Alma -Angle Pointing UP -ADX above 20 Short when - aqua line below navy line - navy line pointing down - adx >20 EXIT - Trailing Stop: The trade closes automatically if price hits the **Red Stepped Line** (this is your safety net that follows the price). - Emergency Exit:** The trade closes immediately if the ALMA lines cross back in the opposite direction (Reversal).
Strategia Pine Script®
di hushedDiamond97573
Multi-TF Buy Low Sell High (based on coinrule)This strategy based on idea from Coinrule: help.coinrule.com ENTRY To capture the strength behind the reversal on the asset, the strategy requires that MA50 be lower than the current market price. To capture a contrarian opportunity on the asset, the rule requires that RSI be lower than 35 on a higher timeframe. The rule places the order when both conditions above are met. The buy order only ends up being placed on assets when it seems they are leaving the "oversold" status on the RSI. EXIT This strategy comes with a conditional stop loss and a target take profit. The engine only engages the stop loss if, as a whole, the rule is in a certain pre-defined loss. The rule checks the total cumulative PnL across all trades (open and closed) by that strategy, and if this is greater than the predefined amount, only then does it apply the stop loss logic. This way you can adapt the risk management of the strategy to the market, becoming more risk-averse when the market turns against you and become more risk-loving when you are trading in favourable market conditions.
Strategia Pine Script®
di DesertWayfarer
LETHINH-Swing pa,smc🟦 📌 Title (English) Swing High / Swing Low – 3-Candle Fractal (5-Bar Pivot) | Auto Alerts ⸻ 🟩 📌 Short Description A clean and reliable swing high / swing low detector based on the classic 3-candle (5-bar) fractal pivot. Automatically marks SH/SL and triggers alerts when a swing is confirmed. No repainting after confirmation. ⸻ 🟧 📌 Full Description (for TradingView Publishing) 🔶 Swing High / Swing Low – 3-Candle Fractal (5-Bar Pivot) This indicator identifies Swing Highs (SH) and Swing Lows (SL) using the classic 3-candle fractal pattern, also known as the 5-bar pivot. It marks swing points only after full confirmation, making it highly reliable and suitable for structure-based trading. ⸻ 🔶 📍 How It Works A swing is confirmed when the center candle is higher (or lower) than the two candles on each side: Swing High (SH) high > high , high , high Swing Low (SL) low < low , low , low The confirmation occurs after 2 right candles close, so the indicator does not repaint once a swing is identified. ⸻ 🔶 📍 Key Features • Detects clean and accurate swings • Uses pure price action — no indicators, no lag • Marks swing high (SH) and swing low (SL) directly on the chart • Non-repainting after confirmation • Works on all timeframes and all markets • Extremely lightweight and fast • Includes alert conditions for both SH and SL Perfect for traders using: • Market Structure (BOS / CHoCH) • Order Blocks (OB) • Smart Money Concepts (SMC) • Liquidity hunts • Wyckoff • Support/Resistance • Price Action entries ⸻ 🔶 📍 Why This Indicator Is Useful Swing points are the foundation of market structure. Accurately detecting them helps traders: • Identify trend shifts • Spot BOS / CHoCH correctly • Find key zones (OB, liquidity levels, supply/demand) • Time entries more precisely • Avoid fake structure breaks This indicator ensures swings are plotted only when fully confirmed, reducing noise and confusion. ⸻ 🔶 📍 Alerts You can create alerts for both conditions: • Swing High Confirmed • Swing Low Confirmed Recommended settings: • Once per bar close • Open-ended alert With alerts enabled, TradingView will automatically notify you every time a new swing forms. ⸻ 🔶 📍 No Repainting Once a swing is confirmed and plotted, it will not change or disappear. This makes the indicator reliable for real-time alerts and backtesting. ⸻ 🔶 📍 Pine Script (v5) Paste your indicator code here if you want it visible. Or leave the code hidden if you are publishing as protected. ⸻ 🔶 📍 Final Notes • This indicator focuses on confirmation, not prediction • It is designed for clean structure reading • All markets supported: Forex, Crypto, Stocks, Indexes, Commodities • Suitable for scalping, intraday, swing, and even higher-timeframe trading If you find this tool helpful, feel free to give it a like and add it to your favorites ❤️ Your support helps me share more tools with the community!
Indicatore Pine Script®
di LEDUCTHINH98