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Momentum SNR VIP [3 TP + Max 50 Pip SL]//@version=6 indicator("Momentum SNR VIP ", overlay=true) // === Settings === pip = input.float(0.0001, "Pip Size", step=0.0001) sl_pip = 50 * pip tp1_pip = 40 * pip tp2_pip = 70 * pip tp3_pip = 100 * pip lookback = input.int(20, "Lookback for S/R", minval=5) // === SNR === pivotHigh = ta.pivothigh(high, lookback, lookback) pivotLow = ta.pivotlow(low, lookback, lookback) supportZone = not na(pivotLow) resistanceZone = not na(pivotHigh) plotshape(supportZone, title="Support", location=location.belowbar, color=color.blue, style=shape.triangleup, size=size.tiny) plotshape(resistanceZone, title="Resistance", location=location.abovebar, color=color.red, style=shape.triangledown, size=size.tiny) // === Price Action === bullishEngulfing = close < open and close > open and close > open and open <= close bearishEngulfing = close > open and close < open and close < open and open >= close bullishPinBar = close < open and (low - math.min(open, close)) > 1.5 * math.abs(close - open) bearishPinBar = close > open and (high - math.max(open, close)) > 1.5 * math.abs(close - open) buySignal = supportZone and (bullishEngulfing or bullishPinBar) sellSignal = resistanceZone and (bearishEngulfing or bearishPinBar) // === SL & TP === rawBuySL = low - 10 * pip buySL = math.max(close - sl_pip, rawBuySL) buyTP1 = close + tp1_pip buyTP2 = close + tp2_pip buyTP3 = close + tp3_pip rawSellSL = high + 10 * pip sellSL = math.min(close + sl_pip, rawSellSL) sellTP1 = close - tp1_pip sellTP2 = close - tp2_pip sellTP3 = close - tp3_pip // === Plot Lines === plot(buySignal ? buySL : na, title="Buy SL", color=color.red, style=plot.style_line, linewidth=1) plot(buySignal ? buyTP1 : na, title="Buy TP1", color=color.green, style=plot.style_line, linewidth=1) plot(buySignal ? buyTP2 : na, title="Buy TP2", color=color.green, style=plot.style_line, linewidth=1) plot(buySignal ? buyTP3 : na, title="Buy TP3", color=color.green, style=plot.style_line, linewidth=1) plot(sellSignal ? sellSL : na, title="Sell SL", color=color.red, style=plot.style_line, linewidth=1) plot(sellSignal ? sellTP1 : na, title="Sell TP1", color=color.green, style=plot.style_line, linewidth=1) plot(sellSignal ? sellTP2 : na, title="Sell TP2", color=color.green, style=plot.style_line, linewidth=1) plot(sellSignal ? sellTP3 : na, title="Sell TP3", color=color.green, style=plot.style_line, linewidth=1) // === Floating Labels on Right Side === if buySignal label.new(x=bar_index + 50, y=buySL, text="SL", style=label.style_label_right, color=color.red, textcolor=color.white) label.new(x=bar_index + 50, y=buyTP1, text="TP1", style=label.style_label_right, color=color.green, textcolor=color.white) label.new(x=bar_index + 50, y=buyTP2, text="TP2", style=label.style_label_right, color=color.green, textcolor=color.white) label.new(x=bar_index + 50, y=buyTP3, text="TP3", style=label.style_label_right, color=color.green, textcolor=color.white) if sellSignal label.new(x=bar_index + 50, y=sellSL, text="SL", style=label.style_label_right, color=color.red, textcolor=color.white) label.new(x=bar_index + 50, y=sellTP1, text="TP1", style=label.style_label_right, color=color.green, textcolor=color.white) label.new(x=bar_index + 50, y=sellTP2, text="TP2", style=label.style_label_right, color=color.green, textcolor=color.white) label.new(x=bar_index + 50, y=sellTP3, text="TP3", style=label.style_label_right, color=color.green, textcolor=color.white) // === Signal Markers === plotshape(buySignal, title="Buy Signal", location=location.belowbar, color=color.green, style=shape.labelup, text="BUY") plotshape(sellSignal, title="Sell Signal", location=location.abovebar, color=color.red, style=shape.labeldown, text="SELL") // === Alerts === alertcondition(buySignal, title="Buy Alert", message="🟢 BUY at Support Zone + Price Action") alertcondition(sellSignal, title="Sell Alert", message="🟡 SELL at Resistance Zone + Price Action")
Penunjuk Pine Script®
oleh shakalss7
VWAP SlopePositive (green) bars mean today’s (or this interval’s) VWAP is higher than the prior one → volume‐weighted average price is drifting up → bullish flow. Negative (red) bars mean VWAP is lower than before → volume is skewed to sellers → bearish flow. Bar height shows how much VWAP has shifted, so taller bars = stronger conviction. Why it’s useful: It gives you a real-time read on whether institutions are consistently buying at higher prices or selling at lower prices. Use it as a bias filter: for shorts you want to see red bars (VWAP down-slope) at your entry, and for longs green bars (VWAP up-slope). Because it updates tick-by-tick (or per bar), you get a live snapshot of volume-weighted momentum on top of your price‐action and oscillator signals.
Penunjuk Pine Script®
oleh ahmedfarhatx22
Momentum SNR VIP [3 TP + Max 50 Pip SL]//@version=6 indicator("Momentum SNR VIP ", overlay=true) // === Settings === pip = input.float(0.0001, "Pip Size", step=0.0001) sl_pip = 50 * pip tp1_pip = 40 * pip tp2_pip = 70 * pip tp3_pip = 100 * pip lookback = input.int(20, "Lookback for S/R", minval=5) // === SNR === pivotHigh = ta.pivothigh(high, lookback, lookback) pivotLow = ta.pivotlow(low, lookback, lookback) supportZone = not na(pivotLow) resistanceZone = not na(pivotHigh) plotshape(supportZone, title="Support", location=location.belowbar, color=color.blue, style=shape.triangleup, size=size.tiny) plotshape(resistanceZone, title="Resistance", location=location.abovebar, color=color.red, style=shape.triangledown, size=size.tiny) // === Price Action === bullishEngulfing = close < open and close > open and close > open and open <= close bearishEngulfing = close > open and close < open and close < open and open >= close bullishPinBar = close < open and (low - math.min(open, close)) > 1.5 * math.abs(close - open) bearishPinBar = close > open and (high - math.max(open, close)) > 1.5 * math.abs(close - open) buySignal = supportZone and (bullishEngulfing or bullishPinBar) sellSignal = resistanceZone and (bearishEngulfing or bearishPinBar) // === SL & TP === rawBuySL = low - 10 * pip buySL = math.max(close - sl_pip, rawBuySL) buyTP1 = close + tp1_pip buyTP2 = close + tp2_pip buyTP3 = close + tp3_pip rawSellSL = high + 10 * pip sellSL = math.min(close + sl_pip, rawSellSL) sellTP1 = close - tp1_pip sellTP2 = close - tp2_pip sellTP3 = close - tp3_pip // === Plot Buy/Sell Signal plotshape(buySignal, title="Buy Signal", location=location.belowbar, color=color.green, style=shape.labelup, text="BUY") plotshape(sellSignal, title="Sell Signal", location=location.abovebar, color=color.red, style=shape.labeldown, text="SELL") // === Plot SL & TP lines plot(buySignal ? buySL : na, title="Buy SL", color=color.red, style=plot.style_linebr, linewidth=1) plot(buySignal ? buyTP1 : na, title="Buy TP1", color=color.green, style=plot.style_linebr, linewidth=1) plot(buySignal ? buyTP2 : na, title="Buy TP2", color=color.green, style=plot.style_linebr, linewidth=1) plot(buySignal ? buyTP3 : na, title="Buy TP3", color=color.green, style=plot.style_linebr, linewidth=1) plot(sellSignal ? sellSL : na, title="Sell SL", color=color.red, style=plot.style_linebr, linewidth=1) plot(sellSignal ? sellTP1 : na, title="Sell TP1", color=color.green, style=plot.style_linebr, linewidth=1) plot(sellSignal ? sellTP2 : na, title="Sell TP2", color=color.green, style=plot.style_linebr, linewidth=1) plot(sellSignal ? sellTP3 : na, title="Sell TP3", color=color.green, style=plot.style_linebr, linewidth=1) // === Labels if buySignal label.new(x=bar_index, y=buySL, text="SL : " + str.tostring(buySL, "#.0000"), style=label.style_label_down, color=color.red, textcolor=color.white) label.new(x=bar_index, y=buyTP1, text="TP1 : " + str.tostring(buyTP1, "#.0000"), style=label.style_label_up, color=color.green, textcolor=color.white) label.new(x=bar_index, y=buyTP2, text="TP2 : " + str.tostring(buyTP2, "#.0000"), style=label.style_label_up, color=color.green, textcolor=color.white) label.new(x=bar_index, y=buyTP3, text="TP3 : " + str.tostring(buyTP3, "#.0000"), style=label.style_label_up, color=color.green, textcolor=color.white) if sellSignal label.new(x=bar_index, y=sellSL, text="SL : " + str.tostring(sellSL, "#.0000"), style=label.style_label_up, color=color.red, textcolor=color.white) label.new(x=bar_index, y=sellTP1, text="TP1 : " + str.tostring(sellTP1, "#.0000"), style=label.style_label_down, color=color.green, textcolor=color.white) label.new(x=bar_index, y=sellTP2, text="TP2 : " + str.tostring(sellTP2, "#.0000"), style=label.style_label_down, color=color.green, textcolor=color.white) label.new(x=bar_index, y=sellTP3, text="TP3 : " + str.tostring(sellTP3, "#.0000"), style=label.style_label_down, color=color.green, textcolor=color.white) // === Alerts alertcondition(buySignal, title="Buy Alert", message="🟢 BUY at Support Zone + Price Action") alertcondition(sellSignal, title="Sell Alert", message="🟡 SELL at Resistance Zone + Price Action")
Penunjuk Pine Script®
oleh shakalss7
Momentum SNR VIP [INDICATOR ONLY]//@version=6 indicator("Momentum SNR VIP ", overlay=true) // === Inputs === lookback = input.int(20, "Lookback for S/R", minval=5) rr_ratio = input.float(2.0, "Risk-Reward Ratio", minval=0.5, step=0.1) // === SNR Detection === pivotHigh = ta.pivothigh(high, lookback, lookback) pivotLow = ta.pivotlow(low, lookback, lookback) supportZone = not na(pivotLow) resistanceZone = not na(pivotHigh) plotshape(supportZone, title="Support", location=location.belowbar, color=color.blue, style=shape.triangleup, size=size.tiny) plotshape(resistanceZone, title="Resistance", location=location.abovebar, color=color.red, style=shape.triangledown, size=size.tiny) // === Price Action === bullishEngulfing = close < open and close > open and close > open and open <= close bearishEngulfing = close > open and close < open and close < open and open >= close bullishPinBar = close < open and (low - math.min(open, close)) > 1.5 * math.abs(close - open) bearishPinBar = close > open and (high - math.max(open, close)) > 1.5 * math.abs(close - open) buySignal = supportZone and (bullishEngulfing or bullishPinBar) sellSignal = resistanceZone and (bearishEngulfing or bearishPinBar) // === SL & TP === buySL = low - 10 buyTP = close + (close - buySL) * rr_ratio sellSL = high + 10 sellTP = close - (sellSL - close) * rr_ratio // === Plot Signals plotshape(buySignal, title="Buy Signal", location=location.belowbar, color=color.green, style=shape.labelup, text="BUY") plotshape(sellSignal, title="Sell Signal", location=location.abovebar, color=color.red, style=shape.labeldown, text="SELL") plot(buySignal ? buySL : na, title="Buy SL", color=color.red, style=plot.style_linebr, linewidth=1) plot(buySignal ? buyTP : na, title="Buy TP", color=color.green, style=plot.style_linebr, linewidth=1) plot(sellSignal ? sellSL : na, title="Sell SL", color=color.red, style=plot.style_linebr, linewidth=1) plot(sellSignal ? sellTP : na, title="Sell TP", color=color.green, style=plot.style_linebr, linewidth=1) // === Labels (Fixed) if buySignal label.new(x=bar_index, y=buySL, text="SL : " + str.tostring(buySL, "#.00"), style=label.style_label_down, color=color.red, textcolor=color.white) label.new(x=bar_index, y=buyTP, text="TP 1 : " + str.tostring(buyTP, "#.00"), style=label.style_label_up, color=color.green, textcolor=color.white) if sellSignal label.new(x=bar_index, y=sellSL, text="SL : " + str.tostring(sellSL, "#.00"), style=label.style_label_up, color=color.red, textcolor=color.white) label.new(x=bar_index, y=sellTP, text="TP 1 : " + str.tostring(sellTP, "#.00"), style=label.style_label_down, color=color.green, textcolor=color.white) // === Alerts alertcondition(buySignal, title="Buy Alert", message="🟢 BUY at Support Zone + Price Action") alertcondition(sellSignal, title="Sell Alert", message="🟡 SELL at Resistance Zone + Price Action")
Penunjuk Pine Script®
oleh shakalss7
Repeating Trend HighlighterThis custom indicator helps you see when the current price trend is similar to a past trend over the same number of candles. Think of it like checking whether the market is repeating itself. You choose three settings: • Lookback Period: This is how many candles you want to measure. For example, if you set it to 10, it looks at the price change over the last 10 bars. • Offset Bars Ago: This tells the indicator how far back in time to look for a similar move. If you set it to 50, it compares the current move to what happened 50 bars earlier. • Tolerance (%): This is how closely the moves must match to be considered similar. A smaller number means you only get a signal if the moves are almost the same, while a larger number allows more flexibility. When the current price move is close enough to the past move you picked, the background of your chart turns light green. This makes it easy to spot repeating trends without studying numbers manually. You’ll also see two lines under your chart if you enable them: a blue line showing the percentage change of the current move and an orange line showing the change in the past move. These help you compare visually. This tool is useful in several ways. You can use it to confirm your trading setups, for example if you suspect that a strong rally or pullback is happening again. You can also use it to filter trades by combining it with other indicators, so you only enter when trends repeat. Many traders use it as a learning tool, experimenting with different lookback periods and offsets to understand how often similar moves happen. If you are a scalper working on short timeframes, you can set the lookback to a small number like 3–5 bars. Swing traders who prefer daily or weekly charts might use longer lookbacks like 20–30 bars. Keep in mind that this indicator doesn’t guarantee price will move the same way again—it only shows similarity in how price changed over time. It works best when you use it together with other signals or market context. In short, it’s like having a simple spotlight that tells you: “This move looks a lot like what happened before.” You can then decide if you want to act on that information. If you’d like, I can help you tweak the settings or combine it with alerts so it notifies you when these patterns appear.
Penunjuk Pine Script®
oleh SupertradeOfficial
EVaR Indicator and Position SizingThe Problem: Financial markets consistently show "fat-tailed" distributions where extreme events occur with higher frequency than predicted by normal distributions (Gaussian or even log-normal). These fat tails manifest in sudden price crashes, volatility spikes, and black swan events that traditional risk measures like volatility can underestimate. Standard deviation and conventional VaR calculations assume normally distributed returns, leaving traders vulnerable to severe drawdowns during market stress. Cryptocurrencies and volatile instruments display particularly pronounced fat-tailed behavior, with extreme moves occurring 5-10 times more frequently than normal distribution models would predict. This reality demands a more sophisticated approach to risk measurement and position sizing. The Solution: Entropic Value at Risk (EVAR) EVaR addresses these limitations by incorporating principles from statistical mechanics and information theory through Tsallis entropy. This advanced approach captures the non-linear dependencies and power-law distributions characteristic of real financial markets. Entropy is more adaptive than standard deviations and volatility measures. I was inspired to create this indicator after reading the paper " The End of Mean-Variance? Tsallis Entropy Revolutionises Portfolio Optimisation in Cryptocurrencies " by by Sana Gaied Chortane and Kamel Naoui. Key advantages of EVAR over traditional risk measures: Superior tail risk capture: More accurately quantifies the probability of extreme market moves Adaptability to market regimes: Self-calibrates to changing volatility environments Non-parametric flexibility: Makes less assumptions about the underlying return distribution Forward-looking risk assessment: Better anticipates potential market changes (just look at the charts :) Mathematically, EVAR is defined as: EVAR_α(X) = inf_{z>0} {z * log(1/α * M_X(1/z))} Where the moment-generating function is calculated using q-exponentials rather than conventional exponentials, allowing precise modeling of fat-tailed behavior. Technical Implementation This indicator implements EVAR through a q-exponential approach from Tsallis statistics: Returns Calculation: Price returns are calculated over the lookback period Moment Generating Function: Approximated using q-exponentials to account for fat tails EVAR Computation: Derived from the MGF and confidence parameter Normalization: Scaled to for intuitive visualization Position Sizing: Inversely modulated based on normalized EVAR The q-parameter controls tail sensitivity—higher values (1.5-2.0) increase the weighting of extreme events in the calculation, making the model more conservative during potentially turbulent conditions. Indicator Components 1. EVAR Risk Visualization Dynamic EVAR Plot: Color-coded from red to green normalized risk measurement (0-1) Risk Thresholds: Reference lines at 0.3, 0.5, and 0.7 delineating risk zones 2. Position Sizing Matrix Risk Assessment: Current risk level and raw EVAR value Position Recommendations: Percentage allocation, dollar value, and quantity Stop Parameters: Mathematically derived stop price with percentage distance Drawdown Projection: Maximum theoretical loss if stop is triggered Interpretation and Application The normalized EVAR reading provides a probabilistic risk assessment: < 0.3: Low risk environment with minimal tail concerns 0.3-0.5: Moderate risk with standard tail behavior 0.5-0.7: Elevated risk with increased probability of significant moves > 0.7: High risk environment with substantial tail risk present Position sizing is automatically calculated using an inverse relationship to EVAR, contracting during high-risk periods and expanding during low-risk conditions. This is a counter-cyclical approach that ensures consistent risk exposure across varying market regimes, especially when the market is hyped or overheated. Parameter Optimization For optimal risk assessment across market conditions: Lookback Period: Determines the historical window for risk calculation Q Parameter: Controls tail sensitivity (higher values increase conservatism) Confidence Level: Sets the statistical threshold for risk assessment For cryptocurrencies and highly volatile instruments, a q-parameter between 1.5-2.0 typically provides the most accurate risk assessment because it helps capturing the fat-tailed behavior characteristic of these markets. You can also increase the q-parameter for more conservative approaches. Practical Applications Adaptive Risk Management: Quantify and respond to changing tail risk conditions Volatility-Normalized Positioning: Maintain consistent exposure across market regimes Black Swan Detection: Early identification of potential extreme market conditions Portfolio Construction: Apply consistent risk-based sizing across diverse instruments This indicator is my own approach to entropy-based risk measures as an alterative to volatility and standard deviations and it helps with fat-tailed markets. Enjoy!
Penunjuk Pine Script®
oleh HenriqueCentieiro
XAUUSD BOS + Retest Looser Bot//@version=5 indicator("SMC Map — BOS/CHoCH + PD + Liquidity + Killzones", overlay=true) // === CONFIG === pd_tf = input.timeframe("240", "HTF for PD array") show_killzone = input.bool(true, "Show Killzones") // === HTF SWINGS === htf_high = request.security(syminfo.tickerid, pd_tf, high) htf_low = request.security(syminfo.tickerid, pd_tf, low) pd_mid = (htf_high + htf_low) / 2 // Plot PD midline plot(pd_mid, title="PD 50%", color=color.gray, linewidth=2) // === SWING STRUCTURE === var float swing_high = na var float swing_low = na is_swing_high = ta.highest(high, 3) == high and close < high is_swing_low = ta.lowest(low, 3) == low and close > low if (is_swing_high) swing_high := high if (is_swing_low) swing_low := low // === BOS / CHoCH === bos_up = not na(swing_high) and close > swing_high bos_down = not na(swing_low) and close < swing_low var int structure_dir = 0 // 0=neutral, 1=up, -1=down choch_up = false choch_down = false if (bos_up) choch_up := structure_dir == -1 structure_dir := 1 if (bos_down) choch_down := structure_dir == 1 structure_dir := -1 // === PLOTS === plotshape(bos_up, title="BOS UP", style=shape.triangleup, location=location.belowbar, color=color.green, size=size.small) plotshape(bos_down, title="BOS DOWN", style=shape.triangledown, location=location.abovebar, color=color.red, size=size.small) plotshape(choch_up, title="CHOCH UP", style=shape.labelup, location=location.belowbar, color=color.lime, size=size.tiny, text="CHOCH") plotshape(choch_down, title="CHOCH DOWN", style=shape.labeldown, location=location.abovebar, color=color.maroon, size=size.tiny, text="CHOCH") plot(swing_high, title="Swing High Liquidity", color=color.new(color.green, 50), style=plot.style_cross, linewidth=1) plot(swing_low, title="Swing Low Liquidity", color=color.new(color.red, 50), style=plot.style_cross, linewidth=1) // === KILLZONE === in_london = (hour >= 6 and hour < 11) in_ny = (hour >= 12 and hour < 18) bgcolor(show_killzone and in_london ? color.new(color.green, 90) : na) bgcolor(show_killzone and in_ny ? color.new(color.blue, 90) : na)
Penunjuk Pine Script®
oleh YashAndThor
Time Zone (with weekends)//@version=5 indicator("Time Zone (with weekends)", overlay=true) // Задаём сессию — например, с 01:00 до 13:00 UTC sessionTime = input.session("0100-1300", "Временной промежуток") zoneColor = input.color(color.new(color.blue, 85), "Цвет зоны") // Проверка, попадает ли текущий бар во временной промежуток inTimeZone = time(timeframe.period, sessionTime) // Закрашиваем фон bgcolor(inTimeZone ? zoneColor : na)
Penunjuk Pine Script®
oleh Alex2784_3513
Stochastic Money Flow IndexThe Stochastic Money Flow Index (or Stochastic MFI ), is a variation of the classic Stochastic RSI that uses the Money Flow Index (MFI) rather than the Relative Strength Index (RSI) in its calculation. While the RSI focuses solely on price momentum, the MFI is a volume-weighted indicator, meaning it incorporates both price and volume data. The Stochastic MFI is intended to provide a more precise and sensitive reading of the MFI by measuring the level of the MFI relative to its range over a specific period. Settings Stochastic Settings %K Length : The number of periods used to calculate the Stochastic. (Default: 14) %K Smoothing : The SMA length used to 'smooth' the %K line. (Default: 3) %D Smoothing : The SMA length used to 'smooth' the %D line. (Default: 1) Money Flow Index Settings MFI Length : The number of periods used to calculate the Money Flow Index. (Default: 14) MFI Source : The source used to calculate the Money Flow Index. (Default: close) Additional Settings Show Overbought/Oversold Gradients? : Toggle the display of overbought/oversold gradients. (Default: true)
Penunjuk Pine Script®
oleh iambrennanwalsh
BTC 现货与期货溢价指数█ Overview / 核心理念 This indicator measures the price difference between the Spot and Futures markets to reveal the true driver of market momentum. 本指标通过衡量现货与期货市场的价格差异，旨在揭示市场动能的真实驱动力。 It helps you answer a key question: Is the current trend driven by solid institutional spot buying or by speculative sentiment in the futures market? 它帮助您回答一个关键问题：当前趋势是由坚实的机构现货买盘驱动，还是由期货市场的投机情绪主导？ █ Core Logic & Calculation / 核心计算逻辑 The core logic is simple yet powerful: Premium = Spot Price - Futures Price. 其核心逻辑简单而强大：溢价 = 现货价格 - 期货价格。 Positive Value (Green Bars): "Spot Premium" 正值 (绿色柱): “现货溢价” This means the spot price is higher than the futures price. It's a strong bullish signal, suggesting significant spot buying pressure, likely from institutions. 这意味着现货价格高于期货价格。这是一个强烈的看涨信号，通常意味着存在巨大的现货买盘压力，可能来自机构。 Negative Value (Red Bars): "Futures Premium" 负值 (红色柱): “期货溢价” This means the futures price is higher than the spot price. It indicates that bullish sentiment is more concentrated in the futures market, or that there is selling pressure in the spot market. 这意味着期货价格高于现货价格。这表明看涨情绪更多地集中在期货市场，或现货市场存在抛售压力。 █ How to Read the Chart / 如何解读图表 Premium Histogram / 溢价柱状图 The height of the bars represents the magnitude of the price difference. Taller bars indicate a greater divergence between the two markets and more extreme sentiment. 柱体的高度代表了价格差异的大小。柱体越高，意味着两个市场之间的分歧越大，情绪越极端。 Zero Line / 零轴 This is the watershed between spot-led and futures-led dominance. 这是现货主导与期货主导的分水岭。 Info Panel / 信息面板 A real-time display in the top-right corner shows the current Spot Price, Futures Price, and the precise Premium value. 位于右上角的信息面板，实时显示当前的现货价格、期货价格以及精确的溢价数值。 █ Trading Strategies & Advanced Interpretation / 交易策略与高级解读 The essence of this indicator lies in analyzing the synergy and divergence between price action and premium changes to identify the dominant market force. 本指标的精髓在于结合价格行为与溢价变化，判断出当前主导市场是现货还是期货，从而进行同步或背离分析。 █ Alert System / 警报系统 The indicator includes two built-in alerts based on Bollinger Bands to catch extreme sentiment. 本指标包含两个基于布林带的内置警报，用以捕捉极端情绪。 Spot Premium Too High (Cross Up): 现货溢价过高 (向上突破): Triggers when the green premium bar breaks above the upper Bollinger Band. It signals that spot buying has become excessively "euphoric" and may be due for a short-term cooldown. 当绿色溢价柱向上突破布林带上轨时触发。这标志着现货买盘已进入极度的“狂热”状态，短期内可能面临回调。 Futures Premium Too High / Spot Selling Pressure (Cross Down): 期货溢价过高 / 现货抛压 (向下突破): Triggers when the premium bar breaks below the lower Bollinger Band (deeply negative). It signals intense spot selling pressure or panic, confirming strong bearish sentiment. 当溢价柱向下突破布林带下轨（负值极大）时触发。这标志着强烈的现货抛压或市场恐慌，是看跌情绪强烈的确认信号。 █ Disclaimer / 免责声明 This tool is based on the theory that the spot market has a dominant influence on major trends. Its effectiveness depends on this condition holding true. 本工具的理论基础是“现货市场对主要趋势具有主导影响力”。其有效性取决于该条件的成立。 This indicator is for educational and research purposes only. It does not constitute financial advice. Please use it in conjunction with your own trading system and risk management. 本指标仅用于教育和研究目的，不构成任何财务建议。请结合您自己的交易系统和风险管理进行使用。 Author ID：We1h0.eth Author X：https://x.com/we1h0
Penunjuk Pine Script®
oleh erevus
Bollinger Bands ±2σ & ±3σBollinger Band 2 & 3 standard deviation, clubbed together, so that you can take trade on BKP & BKT. // This Pine Script plots Bollinger Bands with both ±2σ and ±3σ levels for enhanced volatility analysis. // Users can customize the moving average type, length, and standard deviation multipliers directly in the settings. // The indicator overlays a shaded ±2σ region and semi-transparent ±3σ bands to highlight extreme price movements.
Penunjuk Pine Script®
oleh SwastikPrakash
VDN2 - SuperTrend + ADX + Stochastic StrategySuperTrend + ADX + Stochastic Overview:
A trend-following and momentum-confirmation strategy using SuperTrend, ADX (>20 filter), and Stochastic oscillator. Optimized for Gold (XAUUSD) on the 10-minute chart. Backtest Highlights (Last 1 Week): Win Rate: 83.3% (5 out of 6 trades) Net Profit: +56.35 USD (1 contract size) Avg Trade Duration: ~58 bars (~9.6 hours) Max Drawdown: 16.65 USD Avg Win: 9.24 USD, Avg Loss: 0.82 USD Largest Single Profit: 23.28 USD Profit Factor: ~11.27 Core Logic: Enter Long when: * SuperTrend is bullish * ADX > 20 * Stochastic %K > %D and %K < 80 Enter Short when: * SuperTrend is bearish * ADX > 20 * Stochastic %K < %D and %K > 20 No fixed TP/SL. Positions closed on signal reversal.
Strategi Pine Script®
oleh vidinozyer
SuperTrend + ADX + Stochastic Stratejisi SuperTrend + ADX + Stochastic Overview:
A trend-following and momentum-confirmation strategy using SuperTrend, ADX (>20 filter), and Stochastic oscillator. Optimized for Gold (XAUUSD) on the 10-minute chart. Backtest Highlights (Last 1 Week): Win Rate: 83.3% (5 out of 6 trades) Net Profit: +56.35 USD (1 contract size) Avg Trade Duration: ~58 bars (~9.6 hours) Max Drawdown: 16.65 USD Avg Win: 9.24 USD, Avg Loss: 0.82 USD Largest Single Profit: 23.28 USD Profit Factor: ~11.27 Core Logic: Enter Long when: * SuperTrend is bullish * ADX > 20 * Stochastic %K > %D and %K < 80 Enter Short when: * SuperTrend is bearish * ADX > 20 * Stochastic %K < %D and %K > 20 No fixed TP/SL. Positions closed on signal reversal.
Strategi Pine Script®
oleh vidinozyer
VDN1 - T3 Tilson + IFT + ATRThis strategy combines three powerful indicators to create a high-quality and low-noise trading system: 🔹 T3 Tilson: Serves as the main trend indicator. It reacts smoothly to market direction changes while reducing noise. 🔹 Inverse Fisher Transform of RSI: A momentum filter that sharpens the signal precision. Only trades in the direction of positive or negative momentum. 🔹 ATR Filter: Avoids entries during low volatility (sideways) periods. Ensures the market is active enough before executing trades. Core Logic: * Long Entry: T3 Tilson rising + IFT(RSI) > 0 + ATR > threshold * Short Entry: T3 Tilson falling + IFT(RSI) < 0 + ATR > threshold * All trades use a fixed size of 1 unit for consistent risk evaluation. Performance Notes: * Works exceptionally well on index futures (e.g., NAS100, US30, GER40) * Shows low drawdown and high profit factor (PF > 3) on those assets * Also performs decently on XAUUSD, even with only \~32% win rate — thanks to favorable risk/reward * BTC and ETH may require modified versions due to higher volatility and whipsaws This is a master version — clean, unoptimized, and stable. Use this as a core engine to build and test enhanced versions (e.g., with TP/SL, dynamic filters, etc.) Happy testing and trading!
Strategi Pine Script®
oleh vidinozyer
💼 Momentum SNR VIP//@version=5 indicator("Momentum", overlay=true) // === SNR Detection === lookback = input.int(20, "Lookback for S/R", minval=5) pivotHigh = ta.pivothigh(high, lookback, lookback) pivotLow = ta.pivotlow(low, lookback, lookback) // Plot SNR Zones plotshape(pivotHigh, title="Resistance", location=location.abovebar, color=color.red, style=shape.triangledown, size=size.small) plotshape(pivotLow, title="Support", location=location.belowbar, color=color.blue, style=shape.triangleup, size=size.small) // === Price Action Detection === // Bullish Engulfing bullishEngulfing = close < open and close > open and close > open and open <= close // Bearish Engulfing bearishEngulfing = close > open and close < open and close < open and open >= close // Pin Bar Bullish bullishPinBar = close > open and (low - math.min(open, close)) > 1.5 * (math.abs(close - open)) // Pin Bar Bearish bearishPinBar = close < open and (math.max(open, close) - high) > 1.5 * (math.abs(close - open)) // === Combined Signal at SNR === supportZone = not na(pivotLow) resistanceZone = not na(pivotHigh) buySignal = (bullishEngulfing or bullishPinBar) and supportZone sellSignal = (bearishEngulfing or bearishPinBar) and resistanceZone // Plot Buy/Sell Arrows plotshape(buySignal, title="Buy Signal", location=location.belowbar, color=color.green, style=shape.labelup, text="BUY") plotshape(sellSignal, title="Sell Signal", location=location.abovebar, color=color.red, style=shape.labeldown, text="SELL") // === SL & TP Calculation === rr_ratio = input.float(2.0, "Risk Reward Ratio", minval=0.5, step=0.5) buySL = low buyTP = close + (close - low) * rr_ratio sellSL = high sellTP = close - (high - close) * rr_ratio plot(buySignal ? buySL : na, title="Buy SL", color=color.red, style=plot.style_linebr, linewidth=1) plot(buySignal ? buyTP : na, title="Buy TP", color=color.green, style=plot.style_linebr, linewidth=1) plot(sellSignal ? sellSL : na, title="Sell SL", color=color.red, style=plot.style_linebr, linewidth=1) plot(sellSignal ? sellTP : na, title="Sell TP", color=color.green, style=plot.style_linebr, linewidth=1) // === Alerts === alertcondition(buySignal, title="Buy Alert", message="GOLD: Potential BUY @ SNR Zone + Price Action") alertcondition(sellSignal, title="Sell Alert", message="GOLD: Potential SELL @ SNR Zone + Price Action")
Penunjuk Pine Script®
oleh shakalss7