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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 [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
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
Enhanced RSI Divergence StrategyCore Strategy Logic 1. Higher Timeframe (HTF) Context Purpose: Align with the dominant trend (e.g., "bullish made new highs"). Tools: Price action (breakouts, key support/resistance levels). Trend confirmation (e.g., 50EMA on 1H/4H charts). 2. Lower Timeframe (LTF) Entry Triggers Momentum Breakdown (Short Example): Signal: Price makes "high of the day" + reversal candlestick (e.g., bearish engulfing). Confirmation: RSI divergence or volume spike. Support Reversion (Long/Short): Signal: False breakout (e.g., "faked bullish breakout and reversed"). Confirmation: Wick rejection at HTF support/resistance. 3. Trade Execution Entry: On 5-minute close after trigger. Stop Loss (SL): Current: Fixed ticks (e.g., 7-13 pts) → Issue: Too tight for US100 volatility. Improved: 1.5x ATR(14) or beyond recent swing high/low. Take Profit (TP): Current: Fixed price levels (e.g., 21523). Improved: Tiered exits (50% at 1:1 RR, trail rest). 4. Position Sizing Fixed contracts (e.g., 10 per trade). Better Approach: Risk 1-2% of capital per trade (adjust size based on SL distance). Key Strengths HTF+LTF Alignment: Avoids counter-trend traps by trading in HTF direction. Flexibility: Adapts to momentum and mean-reversion setups. Journaling: Tracks emotions/mistakes (critical for improvement).
Strategi Pine Script®
oleh mexyeso
EMAs + LSMA Cross Alert (Mejorado)his indicator is designed to identify buy and sell signals based on the behavior of multiple exponential moving averages (EMAs) and a Least Squares Moving Average (LSMA). It includes 5 EMAs and one LSMA, with visual and alert features. 📌 Components: EMA 4 (purple) EMA 9 (Fuchsia) EMA 21 (blue) EMA 50 (Green) EMA 200 (maroon) LSMA 30 (Orange) 🔍 Signal Logic: ✅ Buy Signal: The LSMA (30) must be below both EMA 4 and EMA 9. A bullish crossover occurs: EMA 4 crosses above EMA 9. Only one signal is triggered per crossover, avoiding repeated alerts during trend continuation. ❌ Sell Signal: The LSMA (30) must be above both EMA 4 and EMA 9. A bearish crossover occurs: EMA 4 crosses below EMA 9. Only one signal is triggered per crossover, avoiding repeated alerts during trend continuation. 🖥️ Visual Features: Option to show/hide each EMA and the LSMA. Buy/Sell markers appear at cross points. A white background highlight marks the candle where the signal occurs (optional). Visuals scale dynamically with the chart zoom and axes. 🔔 Alerts: Custom alert conditions for Buy and Sell. Alerts can trigger push notifications to the TradingView mobile app, email, or webhook. Configured to avoid repeating alerts unless the trend resets and a new valid crossover occurs.
Penunjuk Pine Script®
oleh fricci
GX Credit Spread SignalThe GX Credit Spread Signal is an advanced indicator designed for traders who trade options strategies on the SPX index, especially using vertical credit spreads. It combines traditional technical analysis with volatility and option pricing concepts to provide relevant signals and projections on the chart. Main features: Trend analysis: Uses opening gap, position relative to VWAP and simple moving average (SMA 50) to indicate bullish or bearish bias right after the first 15-minute candle. Safe range projection: Calculates a range based on the ATR (Average True Range) multiplied by a safety factor, suggesting potential strikes for credit spreads. Quantitative estimates: Calculates the estimated delta of options via the Black-Scholes formula approximation. Estimated probability of expiring out of the money (OTM). Chart visualizations: Displays projected ATR lines, previous day's levels (high, low, close) and an informative panel with strikes, delta, OTM probability, ATR and VWAP data. Configurable alerts: Notifications for detected bullish or bearish bias, helping the trader to identify opportunities quickly. This indicator is ideal for those who day trade with SPX options, facilitating decision-making by combining technical analysis, volatility and option probabilities in one place.
Penunjuk Pine Script®
oleh GustavoBA
Range Bar Gaps DetectorRange Bar Gaps Detector Overview The Range Bar Gaps Detector identifies price gaps across multiple range bar sizes (12, 24, 60, and 120) on any trading instrument, helping traders spot potential support/resistance zones or breakout opportunities. Designed for Pine Script v6, this indicator detects gaps on range bars and exports data for use in companion scripts like Range Bar Gaps Overlap, making it ideal for multi-timeframe gap analysis. Key Features Multi-Range Gap Detection: Identifies gaps on 12, 24, 60, and 120-range bars, capturing both bullish (gap up) and bearish (gap down) price movements. Customizable Sensitivity: Includes a user-defined minimum deviation (default: 10% of 14-period SMA) for 12-range gaps to filter out noise. 7-Day Lookback: Automatically prunes gaps older than 7 days to focus on recent, relevant price levels. Data Export: Serializes up to 10 gaps per range (tops, bottoms, start bars, highest/lowest prices, and age) for seamless integration with overlap analysis scripts. Debugging Support: Plots gap counts and aggregation data in the Data Window for easy verification of detected gaps. How It Works The indicator aggregates price movements to simulate higher range bars (24, 60, 120) from a base range bar chart. It detects gaps when the price jumps significantly between bars, ensuring gaps meet the minimum deviation threshold for 12-range bars. Gaps are stored in arrays, serialized for external use, and pruned after 7 days to maintain efficiency. Usage Add to your range bar chart (e.g., 12-range) to detect gaps across multiple ranges. Use alongside the Range Bar Gaps Overlap indicator to visualize gaps and their overlaps as boxes on the chart. Check the Data Window to confirm gap counts and sizes for each range (12, 24, 60, 120). Adjust the "Minimal Deviation (%) for 12-Range" input to control gap detection sensitivity. Settings Minimal Deviation (%) for 12-Range: Set the minimum gap size for 12-range bars (default: 10% of 14-period SMA). Range Sizes: Fixed at 24, 60, and 120 for higher range bar aggregation. Notes Ensure the script is published under your TradingView username (e.g., GreenArrow2005) for use with companion scripts. Best used on range bar charts to maintain consistent gap detection. For advanced overlap analysis, pair with the Range Bar Gaps Overlap indicator to highlight zones where gaps from different ranges align. Ideal For Traders seeking to identify key price levels for support/resistance or breakout strategies. Multi-timeframe analysts combining gap data across various range bar sizes. Developers building custom indicators that leverage gap data for advanced charting.
Penunjuk Pine Script®
oleh GreenArrow2005
My script//@version=5 indicator("MA + OI + Volume Breakout", overlay=true) // === MA Parameters === ma_type = input.string("EMA", title="MA Type", options= ) ma(src, len, type) => type == "SMA" ? ta.sma(src, len) : type == "EMA" ? ta.ema(src, len) : ta.wma(src, len) ma5 = ma(close, 5, ma_type) ma21 = ma(close, 21, ma_type) ma50 = ma(close, 50, ma_type) ma100 = ma(close, 100, ma_type) plot(ma5, "5-day MA", color=color.yellow, linewidth=2) plot(ma21, "21-day MA", color=color.orange, linewidth=2) plot(ma50, "50-day MA", color=color.fuchsia, linewidth=2) plot(ma100, "100-day MA", color=color.blue, linewidth=2) // === Trend Signal === bullish_trend = ma5 > ma21 and ma21 > ma50 and ma50 > ma100 bearish_trend = ma5 < ma21 and ma21 < ma50 and ma50 < ma100 bgcolor(bullish_trend ? color.new(color.green, 85) : bearish_trend ? color.new(color.red, 85) : na) // === Volume Breakout === vol_avg = ta.sma(volume, 20) vol_breakout = volume > 1.5 * vol_avg plotshape(vol_breakout, title="Volume Breakout", location=location.belowbar, style=shape.circle, color=color.aqua, size=size.tiny) // === Open Interest Overlay (assumes OI data via external input or future integration) === // Placeholder: simulate OI input (replace with `request.security(syminfo.tickerid, ..., ...)` if available) oi = input.float(na, title="Open Interest (external feed)") oi_avg = ta.sma(oi, 20) oi_breakout = oi > 1.2 * oi_avg plotshape(not na(oi) and oi_breakout, title="OI Spike", location=location.belowbar, style=shape.diamond, color=color.purple, size=size.tiny) plot(oi, title="Open Interest", color=color.gray, display=display.none) // Optional: hidden line for alerts // === Composite Signal === strong_long = bullish_trend and vol_breakout and oi_breakout plotshape(strong_long, title="Strong Long Signal", location=location.belowbar, style=shape.labelup, text="LONG", size=size.small, color=color.lime) // === Screener Logic === // Use `strong_long` as your filter condition in a screener or dashboard output
Penunjuk Pine Script®
oleh nikhilkapadia
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 [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
💼 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
H turnoverTrading Value refers to the total monetary amount of all transactions for a particular stock or the entire market over a specific period. It is calculated by multiplying the trading volume (the number of shares traded) by the price at which they were traded. For example, if 10,000 shares of a stock are traded in a day at an average price of 50,000 KRW, the trading value for that day would be 500,000,000 KRW. Key points about trading value: Market Activity and Liquidity: A high trading value indicates an active and liquid market. Flow of Investment Funds: Increasing trading value suggests more money is flowing into the market or a particular stock. Relationship with Price Movements: When both trading value and price rise together, it often signals strong buying interest. Conversely, significant price changes with low trading value may be less reliable. Market Sentiment Indicator: Changes in trading value can reflect shifts in investor interest and sentiment. In summary, trading value is the total amount of money exchanged in trades and serves as an important indicator of market activity, liquidity, and investor sentiment.
Penunjuk Pine Script®
oleh qrdkob
H IchimokuIchimoku Kinko Hyo (commonly called the Ichimoku Cloud) is a comprehensive technical analysis indicator developed by Japanese journalist Goichi Hosoda in the 1960s. Its name translates to “one glance equilibrium chart,” reflecting the tool’s purpose: to provide a quick, holistic view of market trend, momentum, and support/resistance levels. The Ichimoku Cloud consists of five main components: Tenkan-sen (Conversion Line): The average of the highest high and lowest low over the past 9 periods. Kijun-sen (Base Line): The average of the highest high and lowest low over the past 26 periods. Senkou Span A (Leading Span A): The average of the Tenkan-sen and Kijun-sen, plotted 26 periods ahead. Senkou Span B (Leading Span B): The average of the highest high and lowest low over the past 52 periods, plotted 26 periods ahead. Chikou Span (Lagging Span): The current closing price plotted 26 periods back. The area between Senkou Span A and B forms the “cloud” (Kumo), which visually highlights key support and resistance zones. Prices above the cloud indicate an uptrend, below the cloud a downtrend, and within the cloud a consolidating or neutral market. Ichimoku is valued for its ability to provide a broad, forward-looking perspective on price action, helping traders identify trends, momentum, and potential reversal points at a glance.
Penunjuk Pine Script®
oleh qrdkob