Mulakan

Kitaran

Alerts Killzones + PD/WL/ML Levels (No Labels)This indicator automatically highlights the London and New York killzones and triggers alerts at key price levels — without adding any labels or text clutter to the chart. Features: Highlights London (10:00–13:00) and New York (15:00–17:00) sessions (GMT+3, Romania). Draws and updates key levels automatically: PDH / PDL – Previous Day High & Low WH / WL – Previous Week High & Low MH / ML – Previous Month High & Low Alerts when price touches any of these levels. Alerts at session opens and closes for both London and New York. Clean interface – no labels or extra markers on chart. Ideal for: Traders who follow ICT concepts, session-based setups, or liquidity sweeps and want precise alerts without chart noise.
Penunjuk Pine Script®
oleh danutz3llu
Economic Cycle Signal (USA)📊 Economic Cycle Signal (USA) This indicator overlays both the U.S. Federal Reserve Funds Rate (Fed Funds) and the U.S. Inflation Rate YoY directly onto your stock market chart (e.g., S&P 500). It visually connects monetary policy and inflation dynamics with equity market performance, helping traders and analysts understand how macroeconomic shifts impact risk assets. 🔹 Key Features • Plots the monthly U.S. Fed Funds Rate alongside your chart. • Overlays the U.S. Inflation Rate YoY, offering a direct and realistic view of inflation pressure instead of CPI. • Shades the background to reflect different economic cycle phases (recovery, recession, expansion, late cycle). • Highlights how the stock market reacts during shifting monetary and inflationary conditions. • Provides a clear traffic-light style signal for quick macro interpretation. • Now includes dynamic inflation color logic based on the Fed’s 2% target and 5% threshold (explained below). 🔹 Inflation Line Color Logic (New) The inflation line now changes color dynamically to show whether inflation is within or outside the Federal Reserve’s comfort zone, and whether it’s rising or falling: Inflation Condition Interpretation Line Color Inflation > 5% and Rising Inflation overheating (well above target) 🔴 Red Inflation > 5% and Falling Cooling off from high levels 💚 Lime Inflation < 5% and Falling Disinflation / stable price environment 🟢 Green Inflation < 5% and Rising Early inflation rebound 🟡 Yellow This color-coded logic mirrors the interest rate phase colors, giving traders an instant visual cue about inflationary pressure and possible policy turning points. 🔹 How Traders & Analysts Can Use It • Visualize the interaction between U.S. monetary policy and inflation cycles in real time. • Identify historically supportive phases when low or easing rates follow moderate inflation. • Detect tightening cycles when inflation spikes first and the Fed reacts, signaling potential equity headwinds. • Use as a macro compass to anticipate inflation pressure, policy changes, and market regime shifts. • Combine with technical analysis, fundamentals, or leading indicators for deeper macro insights. 🔹 Color Legend (Economic Phases) 🟩 Light Green → Recovery (Early Cycle) • Rates: low or falling • Inflation: low/stable 🟩 Green → Recession (Down Cycle) • Rates: cut aggressively • Inflation: falling 🟨 Yellow → Expansion (Mid Cycle) • Rates: rising gradually • Inflation: moderate 🟥 Red → Overheating (Late Cycle) • Rates: high / rising fast • Inflation: high 🔹 Inflation Context • Inflation typically leads the policy rate cycle, offering early insight into future Fed actions. • The U.S. Inflation Rate YoY provides a direct measure of consumer price changes compared to the same month last year — a clearer gauge of inflation pressure than CPI. • The new color logic helps visualize whether inflation is accelerating or cooling, relative to the Fed’s 2% target and 5% upper threshold. • This dual-overlay makes it easy to interpret the cause (inflation) and effect (interest rate policy) in one synchronized chart. ⚠️ Disclaimer This script is for educational and informational purposes only. It does not provide financial advice or trading signals. Always combine it with your own research, proper risk management, and professional judgment.
Penunjuk Pine Script®
oleh khuramkhawaja
Economic Cycle Signal (Pakistan)📊 Economic Cycle Signal (Pakistan) This indicator overlays both the Pakistan Policy Rate (PKINTR) and the Pakistan Inflation Rate YoY (PKIRYY) directly onto your KSE or Pakistan market chart. It visually connects monetary policy and inflation dynamics with market performance, helping traders and analysts understand how shifts in economic conditions impact risk assets in Pakistan. 🔹 Key Features • Plots the monthly Pakistan Policy Rate alongside your chart. • Overlays the Pakistan Inflation Rate YoY to track how price pressures evolve before policy rate adjustments. • Shades the background to reflect different economic cycle phases (recovery, recession, expansion, late cycle). • Highlights how equities and other risk assets react during shifting monetary and inflationary conditions. • Provides a clear traffic-light style signal for quick macro interpretation. • Now includes dynamic inflation color logic based on the State Bank of Pakistan’s (SBP) 5–7% target range and thresholds for overheating or cooling inflation. 🔹 Inflation Line Color Logic (New) The inflation line color dynamically reflects whether inflation is within or outside SBP’s target range, and whether it’s rising or falling: Inflation Condition Interpretation Line Color Inflation > 7% and Rising Inflation overheating (well above SBP target) 🔴 Red Inflation > 7% and Falling Cooling off from high levels 💚 Lime Inflation < 5% and Falling Disinflation / stable price environment 🟢 Green Inflation < 5% and Rising Early inflation rebound 🟡 Yellow This adaptive color logic mirrors the interest rate cycle signals, helping traders instantly interpret Pakistan’s inflation trajectory and anticipate potential monetary policy turning points. 🔹 How Traders & Analysts Can Use It • Visualize Pakistan’s monetary policy cycles and inflation trends in real time. • Identify supportive phases when rate cuts or low policy rates follow controlled inflation. • Detect tightening cycles when inflation spikes and the SBP reacts with rate hikes, often creating headwinds for equities. • Use as a macro compass to anticipate inflation pressure, potential policy actions, and shifts in market risk appetite. • Combine with technical analysis, fundamentals, or macro indicators for deeper insights into Pakistan’s economic conditions. 🔹 Color Legend (Economic Phases) 🟩 Light Green → Recovery (Early Cycle) • Rates: low or falling • Inflation: low/stable 🟩 Green → Recession (Down Cycle) • Rates: cut aggressively • Inflation: falling 🟨 Yellow → Expansion (Mid Cycle) • Rates: rising gradually • Inflation: moderate 🟥 Red → Overheating (Late Cycle) • Rates: high / rising fast • Inflation: high 🔹 Inflation Context • SBP’s medium-term inflation target range is 5–7%, aimed at balancing growth and price stability. • The script applies the same visual logic used in the U.S. version, now calibrated to Pakistan’s macro environment. • The Pakistan Inflation Rate YoY (PKIRYY) line color shifts dynamically — clearly showing when inflation is rising above target, cooling, or stabilizing. • This dual-overlay helps interpret both the cause (inflation) and effect (policy response) within Pakistan’s economic cycle, giving investors a clear macro perspective. ⚠️ Disclaimer This script is for educational and informational purposes only. It does not provide financial advice or trading signals. Always combine it with your own research, proper risk management, and professional judgment.
Penunjuk Pine Script®
oleh khuramkhawaja
RSI Colored by Relative StrengthThis indicator enhances the traditional RSI by combining it with Relative Strength (RS) — the ratio of an asset’s price to a chosen benchmark (e.g., SPY, QQQ, BTCUSD) — to create a more accurate, powerful, and dynamic momentum confirmation tool. Instead of relying solely on RSI’s internal momentum, this version color-codes RSI values and backgrounds based on whether the asset is outperforming, underperforming, or neutral relative to the benchmark, not only identifying the RSI value, but color codes it in relation to the overall market to give more accurate confirmations. • RS > 1 → The asset is outperforming the benchmark (relative strength). • RS < 1 → The asset is underperforming. • RS ≈ 1 → Neutral or moving in sync with the benchmark. Gradient background zones: • Green tones = outperformance (RS > 1). • Red tones = underperformance (RS < 1). • Gray neutral band = parity (RS ≈ 1). Intensity adjusts dynamically based on how far RS deviates from 1, giving an at-a-glance view of market leadership strength. • Color-coded RSI line: Green when RS > 1, red when RS < 1. • Optional markers and labels show confirmed RS+RSI crossovers with smart spacing to prevent clutter. • Alerts included for bullish and bearish RS+RSI alignment events. How to Use 1. Add your preferred benchmark symbol (default: SPY). 2. Move this indicator into the same pane as your RSI (No need to overlay, does so automatically) and can also be used standalone. 3. Watch for: • Green RSI & background: Significant momentum strength (asset trending upward and outpacing the market). • Red RSI & background: False or insignificant momentum (asset lagging). • Gray zone: neutral phase — consolidation or rotation period. Use this as a trend-confirmation filter rather than a signal generator. For example: • Confirm and refine breakout entries when RS > 1 (RSI support = stronger conviction). • Take profits when RSI weakens and RS slips below 1.
Penunjuk Pine Script®
oleh TylerisTrading
Aurum DCX AVE Gold and Silver StrategySummary in one paragraph Aurum DCX AVE is a volatility break strategy for gold and silver on intraday and swing timeframes. It aligns a new Directional Convexity Index with an Adaptive Volatility Envelope and an optional USD/DXY bias so trades appear only when direction quality and expansion agree. It is original because it fuses three pieces rarely combined in one model for metals: a convexity aware trend strength score, a percentile based envelope that widens with regime heat, and an intermarket DXY filter. Scope and intent • Markets. Gold and silver futures or spot, other liquid commodities, major indices • Timeframes. Five minutes to one day. Defaults to 30min for swing pace • Default demo used in this publication. TVC:GOLD on 30m • Purpose. Enter confirmed volatility breaks while muting chop using regime heat and USD bias • Limits. This is a strategy. Orders are simulated on standard candles only Originality and usefulness • Unique fusion. DCX combines DI strength with path efficiency and curvature. AVE blends ATR with a high TR percentile and widens with DCX heat. DXY adds an intermarket bias • Failure mode addressed. False starts inside compression and unconfirmed breakouts during USD swings • Testability. Each component has a named input. Entry names L and S are visible in the list of trades • Portable yardstick. Weekly ATR for stops and R multiples for targets • Open source. Method and implementation are disclosed for community review Method overview in plain language You score direction quality with DCX, size an adaptive envelope with a blend of ATR and a high TR percentile, and only allow breaks that clear the band while DCX is above a heat threshold in the same direction. An optional DXY filter favors long when USD weakens and short when USD strengthens. Orders are bracketed with a Weekly ATR stop and an R multiple target, with optional trailing to the envelope. Base measures • Range basis. True Range and ATR over user windows. A high TR percentile captures expansion tails used by AVE • Return basis. Not required Components • Directional Convexity Index DCX. Measures directional strength with DX, multiplies by path efficiency, blends a curvature term from acceleration, scales to 0 to 100, and uses a rise window • Adaptive Volatility Envelope AVE. Midline ALMA or HMA or EMA plus bands sized by a blend of ATR and a high TR percentile. The blend weight follows volatility of volatility. Band width widens with DCX heat • DXY Bias optional. Daily EMA trend of DXY. Long bias when USD weakens. Short bias when USD strengthens • Risk block. Initial stop equals Weekly ATR times a multiplier. Target equals an R multiple of the initial risk. Optional trailing to AVE band Fusion rule • All gates must pass. DCX above threshold and rising. Directional lead agrees. Price breaks the AVE band in the same direction. DXY bias agrees when enabled Signal rule • Long. Close above AVE upper and DCX above threshold and DCX rising and plus DI leads and DXY bias is bearish • Short. Close below AVE lower and DCX above threshold and DCX falling and minus DI leads and DXY bias is bullish • Exit and flip. Bracket exit at stop or target. Optional trailing to AVE band Inputs with guidance Setup • Symbol. Default TVC:GOLD (Correlation Asset for internal logic) • Signal timeframe. Blank follows the chart • Confirm timeframe. Default 1 day used by the bias block Directional Convexity Index • DCX window. Typical 10 to 21. Higher filters more. Lower reacts earlier • DCX rise bars. Typical 3 to 6. Higher demands continuation • DCX entry threshold. Typical 15 to 35. Higher avoids soft moves • Efficiency floor. Typical 0.02 to 0.06. Stability in quiet tape • Convexity weight 0..1. Typical 0.25 to 0.50. Higher gives curvature more influence Adaptive Volatility Envelope • AVE window. Typical 24 to 48. Higher smooths more • Midline type. ALMA or HMA or EMA per preference • TR percentile 0..100. Typical 75 to 90. Higher favors only strong expansions • Vol of vol reference. Typical 0.05 to 0.30. Controls how much the percentile term weighs against ATR • Base envelope mult. Typical 1.4 to 2.2. Width of bands • Regime adapt 0..1. Typical 0.6 to 0.95. How much DCX heat widens or narrows the bands Intermarket Bias • Use DXY bias. Default ON • DXY timeframe. Default 1 day • DXY trend window. Typical 10 to 50 Risk • Risk percent per trade. Reporting field. Keep live risk near one to two percent • Weekly ATR. Default 14. Basis for stops • Stop ATR weekly mult. Typical 1.5 to 3.0 • Take profit R multiple. Typical 1.5 to 3.0 • Trail with AVE band. Optional. OFF by default Properties visible in this publication • Initial capital. 20000 • Base currency. USD • request.security lookahead off everywhere • Commission. 0.03 percent • Slippage. 5 ticks • Default order size method percent of equity with value 3% of the total capital available • Pyramiding 0 • Process orders on close ON • Bar magnifier ON • Recalculate after order is filled OFF • Calc on every tick OFF Realism and responsible publication • No performance claims. Past results never guarantee future outcomes • Shapes can move while a bar forms and settle on close • Strategies use standard candles for signals and orders only Honest limitations and failure modes • Economic releases and thin liquidity can break assumptions behind the expansion logic • Gap heavy symbols may prefer a longer ATR window • Very quiet regimes can reduce signal contrast. Consider higher DCX thresholds or wider bands • Session time follows the exchange of the chart and can change symbol to symbol • Symbol sensitivity is expected. Use the gates and length inputs to find stable settings Open source reuse and credits • None Mode Public open source. Source is visible and free to reuse within TradingView House Rules Legal Education and research only. Not investment advice. You are responsible for your decisions. Test on historical data and in simulation before any live use. Use realistic costs.
Strategi Pine Script®
oleh exlux
2
Puell Multiple Variants [OperationHeadLessChicken]Overview This script contains three different, but related indicators to visualise Bitcoin miner revenue. The classical Puell Multiple : historically, it has been good at signaling Bitcoin cycle tops and bottoms, but due to the diminishing rewards miners get after each halving, it is not clear how you determine overvalued and undervalued territories on it. Here is how the other two modified versions come into play: Halving-Corrected Puell Multiple : The idea is to multiply the miner revenue after each halving with a correction factor, so overvalued levels are made comparable by a horizontal line across cycles. After experimentation, this correction factor turned out to be around 1.63. This brings cycle tops close to each other, but we lose the ability to see undervalued territories as a horizontal region. The third variant aims to fix this: Miner Revenue Relative Strength Index (Miner Revenue RSI) : It uses RSI to map miner revenue into the 0-100 range, making it easy to visualise over/undervalued territories. With correct parameter settings, it eliminates the diminishing nature of the original Puell Multiple, and shows both over- and undervalued revenues correctly. Example usage The goal is to determine cycle tops and bottoms. I recommend using it on high timeframes, like monthly or weekly . Lower than that, you will see a lot of noise, but it could still be used. Here I use monthly as the example. The classical Puell Multiple is included for reference. It is calculated as Miner Revenue divided by the 365-day Moving Average of the Miner Revenue . As you can see in the picture below, it has been good at signaling tops at 1,3,5,7. The problems: - I have to switch the Puell Multiple to a logarithmic scale - Still, I cannot use a horizontal oversold territory - 5 didn't touch the trendline, despite being a cycle top - 9 touched the trendline despite not being a cycle top Halving-Corrected Puell Multiple (yellow): Multiplies the Puell Multiple by 1.63 (a number determined via experimentation) after each halving. In the picture below, you can see how the Classical (white) and Corrected (yellow) Puell Multiples compare: Advantages: - Now you can set a constant overvalued level (12.49 in my case) - 1,3,7 are signaled correctly as cycle tops - 9 is correctly not signaled as a cycle top Caveats: - Now you don't have bottom signals anymore - 5 is still not signaled as cycle top Let's see if we can further improve this: Miner Revenue RSI (blue): On the monthly, you can see that an RSI period of 6, an overvalued threshold of 90, and an undervalued threshold of 35 have given historically pretty good signals. Advantages: - Uses two simple and clear horizontal levels for undervalued and overvalued levels - Signaling 1,3,5,7 correctly as cycle tops - Correctly does not signal 9 as a cycle top - Signaling 4,6,8 correctly as cycle bottoms Caveats: - Misses two as a cycle bottom, although it was a long time ago when the Bitcoin market was much less mature - In the past, gave some early overvalued signals Usage Using the example above, you can apply these indicators to any timeframe you like and tweak their parameters to obtain signals for overvalued/undervalued BTC prices You can show or hide any of the three indicators individually Set overvalued/undervalued thresholds for each => the background will highlight in green (undervalued) or red (overvalued) Set special parameters for the given indicators: correction factor for the Corrected Puell and RSI period for Revenue RSI Show or hide halving events on the indicator panel All parameters and colours are adjustable
Penunjuk Pine Script®
oleh OperationHeadLessChicken
Gold–Bitcoin Correlation (Offset Model) by KManus88This indicator analyzes the correlation between Gold (XAU/USD) and Bitcoin (BTC/USD) using a time-offset model adjustable by the user. The goal is to detect cyclical leads or lags between both assets, highlighting how capital flows into Gold may precede or follow movements in the crypto market. Key Features: Dynamic correlation calculation between Gold and Bitcoin. Adjustable offset in days (default: 107) to fine-tune the temporal shift. Automatic labels and on-chart visualization. Compatible with multiple timeframes and logarithmic scales. Interpretation: Positive correlation suggests synchronized trends between both assets. Negative correlation signals divergence or rotation of liquidity. The time-offset parameter helps estimate when a shift in Gold could later reflect in Bitcoin. Recommended use: For macro-financial and global liquidity cycle analysis. As a complementary tool in cross-asset momentum strategies. © 2025 – Developed by KManus88 | Inspired by monetary correlation studies and global liquidity cycles. This script is for educational purposes only and does not constitute financial advice.
Penunjuk Pine Script®
oleh kmanus88
Adaptive Pulse Frequency & Amplitude TrendAdaptive Pulse Frequency & Amplitude Trend Indicator This Pine Script indicator is designed to identify strong bullish or bearish trends by analyzing volume dynamics on a lower timeframe than the one currently displayed on the chart. It operates on the principle of detecting significant spikes in buying or selling pressure, referred to as "pulses," and then evaluating their frequency, strength, and dominance over the opposing market forces. Core Concepts Lower Timeframe Volume Analysis: The script requests up-volume and down-volume data from a more granular, lower timeframe (e.g., 1-minute data when on a 15-minute chart). This provides a higher-resolution view of the flow of buy and sell orders. Adaptive Pulse Detection: A "pulse" is defined as a bar with an unusually high net volume (up volume minus down volume). Instead of using a fixed value, the indicator calculates an adaptive threshold based on the 90th percentile of net volume over a 100-bar lookback period. Any bar with a net volume exceeding this dynamic threshold is flagged as a pulse, categorized as either bullish (positive net volume) or bearish (negative net volume). Frequency and Amplitude: The indicator measures two key aspects of these pulses over user-defined lookback periods: Net Frequency: The number of bullish pulses minus the number of bearish pulses. A positive value indicates more buying pulses, while a negative value indicates more selling pulses. Net Amplitude : The cumulative volume of bullish pulses minus the cumulative volume of bearish pulses. This measures the overall strength and conviction behind the pulses. Primary Trend Signal The indicator's primary signal comes from a strict dominance condition. It doesn't just look for more buying or selling pulses; it checks if these pulses are powerful enough to overwhelm the total opposite pressure in the market. Bullish Dominance (Green Background): A strong bullish signal is generated when the total volume of all bullish pulses within a lookback period is greater than the total down-volume from all bars (not just pulses) in that same period. Bearish Dominance (Red Background): A strong bearish signal is generated when the total volume of all bearish pulses is greater than the total up-volume from all bars in that period. The chart background is colored green for bullish dominance and red for bearish dominance, providing a clear visual cue for when one side has taken decisive control. Plotted Data In addition to the background coloring, the indicator plots several lines in its own pane for more detailed analysis: Net Frequency: Shows the trend in the number of bull vs. bear pulses. Net Amplitude: Shows the trend in the strength of bull vs. bear pulses. Bullish/Bearish Amplitude: The individual cumulative volumes for bull and bear pulses. Dynamic Threshold: The adaptive value used to identify pulses. By combining an adaptive detection method with a strict dominance condition, this tool aims to filter out market noise and highlight periods of genuinely strong, volume-backed trends.
Penunjuk Pine Script®
oleh Cmo22
Cyclical Phases of the Market🧭 Overview “Cyclical Phases of the Market” automatically detects major market cycles by connecting swing lows and measuring the average number of bars between them. Once it learns the rhythm of past cycles, it projects the next expected cycle (in time and price) using a dashed orange line and a forecast label. In simple terms: The indicator shows where the next potential low is statistically expected to occur, based on the timing and depth of previous cycles. ⚙️ Core Logic – Step by Step 1️⃣ Pivot Detection The script uses the built-in ta.pivotlow() and ta.pivothigh() functions to find local turning points: pivotLow marks a local swing low, defined by pivotLeft and pivotRight bars on each side. Only confirmed lows are used to define the major cycle points. Each new pivot low is stored in two arrays: cycleLows → price level of the low cycleBars → bar index where the low occurred 2️⃣ Cycle Identification and Drawing Every time two consecutive swing lows are found, the indicator: Calculates the number of bars between them (cycle length). If that distance is greater than or equal to minCycleBars, it draws a teal line connecting the two lows — visually representing one complete cycle. These teal lines form the historical cycle structure of the market. 3️⃣ Average Cycle Length Once there are at least three completed cycles, the script calculates the average duration (mean number of bars between lows). This value — avgCycleLength — represents the dominant periodicity or cycle rhythm of the market. 4️⃣ Forecasting the Next Cycle When a valid average cycle length exists, the model projects the next expected cycle: Time projection: Adds avgCycleLength to the last cycle’s ending bar index to find where the next low should occur. Price projection: Estimates the vertical amplitude by taking the difference between the last two cycle lows (priceDiff). Adds this same difference to the last low price to forecast the next probable low level. The result is drawn as an orange dashed line extending into the future, representing the Next Expected Cycle. 5️⃣ Forecast Label An orange label 🔮 appears at the projected future point showing: Text: 🔮 Upcoming Cycle Forecast Price: The label marks the probable area and timing of the next cyclical low. (Note: the date/time calculation currently multiplies bar count by 7 days, so it’s designed mainly for daily charts. On other timeframes, that conversion can be adapted.) 📊 How to Read It on the Chart Visual Element Meaning Interpretation Teal lines Completed historical cycles (low to low) Show actual periodic rhythm of the market Orange dashed line Projection of the next expected cycle Anticipated path toward the next cyclical low Orange label 🔮 Upcoming Cycle Forecast Displays expected price and bar location Average cycle length Internal variable (bars between lows) Represents the dominant cycle period 📈 Interpretation When teal segments show consistent spacing, the market is following a stable rhythm → cycles are predictable. When cycle spacing shortens, the market is accelerating (volatility rising). When it widens, the market is slowing down or entering accumulation. The orange dashed line represents the next expected low zone: If the market drops near this line → cyclical pattern confirmed. If the market breaks well below → cycle amplitude has increased (trend weakening). If the market rises above and delays → a new longer cycle may be forming. 🧠 Practical Use Combine with oscillators (e.g., RSI or TSI) to confirm momentum alignment near projected lows. Use in conjunction with volume to identify accumulation or exhaustion near the expected turning point. Compare across timeframes: weekly cycles confirm long-term rhythm; daily cycles refine short-term entries. ⚡ Summary Aspect Description Purpose Detect and forecast recurring market cycles Cycle basis Low-to-Low pivot analysis Visuals Teal historical cycles + Orange forecast line Forecast Next expected low (price and time) Ideal timeframe Daily Main outputs Average cycle length, next projected cycle, visual cycle map
Penunjuk Pine Script®
oleh LanfryBil
1
Fair Value Lead-Lag Model [BackQuant]Fair Value Lead-Lag Model A cross-asset model that estimates where price "should" be relative to a chosen reference series, then tracks the deviation as a normalized oscillator. It helps you answer two questions: 1) is the asset rich or cheap vs its driver, and 2) is the driver leading or lagging price over the next N bars. Concept in one paragraph Many assets co-move with a macro or sector driver. Think BTC vs DXY, gold vs real yields, a stock vs its sector ETF. This tool builds a rolling fair value of the charted asset from a reference series and shows how far price is above or below that fair value in standard deviation units. You can shift the reference forward or backward to test who leads whom, then use the deviation and its bands to structure mean-reversion or trend-following ideas. What the model does Reference mapping : Pulls a reference symbol at a chosen timeframe, with an optional lead or lag in bars to test causality. Fair value engine : Converts the reference into a synthetic fair value of the chart using one of four methods: Ratio : price/ref with a rolling average ratio. Good when the relationship is proportional. Spread : price minus ref with a rolling average spread. Good when the relationship is additive. Z-Score : normalizes both series, aligns on standardized units, then re-projects to price space. Good when scale drifts. Beta-Adjusted : rolling regression style. Uses covariance and variance to compute beta, then builds a fair value = mean(price) + beta * (ref − mean(ref)). Deviation and bands : Computes a z-scored deviation of price vs fair value and plots sigma bands (±1, ±2, ±3) around the fair value line on the chart. Correlation context : Shows rolling correlation so you can judge if deviations are meaningful or just noise when co-movement is weak. Visuals : Fair value line on price chart with sigma envelopes. Deviation as a column oscillator and optional line. Threshold shading beyond user-set upper and lower levels. Summary table with reference, deviation, status, correlation, and method. Why this is useful Mean reversion framework : When correlation is healthy and deviation stretches beyond your sigma threshold, probability favors reversion toward fair value. This is classic pairs logic adapted to a driver and a target. Trend confirmation : If price rides the fair value line and deviation stays modest while correlation is positive, it supports trend persistence. Pullbacks to negative deviation in an uptrend can be buyable. Lead-lag discovery : Shift the reference forward by +N bars. If correlation improves, the reference tends to lead. Shift backward for the reverse. Use the best setting for planning early entries or hedges. Regime detection : Large persistent deviations with falling correlation hint at regime change. The relationship you relied on may be breaking down, so reduce confidence or switch methods. How to use it step by step Pick a sensible reference : Choose a macro, index, currency, or sector driver that logically explains the asset’s moves. Example: gold with DXY, a semiconductor stock with SOXX. Test lead-lag : Nudge Lead/Lag Periods to small positive values like +1 to +5 to see if the reference leads. If correlation improves, keep that offset. If correlation worsens, try a small negative value or zero. Select a method : Start with Beta-Adjusted when the relationship is approximately linear with drift. Use Ratio if the assets usually move in proportional terms. Use Spread when they trade around a level difference. Use Z-Score when scales wander or volatility regimes shift. Tune windows : Rolling Window controls how quickly fair value adapts. Shorter equals faster but noisier. Normalization Period controls how deviations are standardized. Longer equals stabler sigma sizing. Correlation Length controls how co-movement is measured. Keep it near the fair value window. Trade the edges : Mean reversion idea : Wait for deviation beyond your Upper or Lower Threshold with positive correlation. Fade back toward fair value. Exit at the fair value line or the next inner sigma band. Trend idea : In an uptrend, buy pullbacks when deviation dips negative but correlation remains healthy. In a downtrend, sell bounces when deviation spikes positive. Read the table : Deviation shows how many sigmas you are from fair value. Status tells you overvalued or undervalued. Correlation color hints confidence. Method tells you the projection style used. Reading the display Fair value line on price chart: the model’s estimate of where price should trade given the reference, updated each bar. Sigma bands around fair value: a quick sense of residual volatility. Reversions often target inner bands first. Deviation oscillator : above zero means rich vs fair value, below zero means cheap. Color bins intensify with distance. Correlation line (optional): scale is folded to match thresholds. Higher values increase trust in deviations. Parameter tips Start with Rolling Window 20 to 30, Normalization Period 100, Correlation Length 50. Upper and Lower Threshold at ±2.0 are classic. Tighten to ±1.5 for more signals or widen to ±2.5 to focus on outliers. When correlation drifts below about 0.3, treat deviations with caution. Consider switching method or reference. If the fair value line whipsaws, increase Rolling Window or move to Beta-Adjusted which tends to be smoother. Playbook examples Pairs-style reversion : Asset is +2.3 sigma rich vs reference, correlation 0.65, trend flat. Short the deviation back toward fair value. Cover near the fair value line or +1 sigma. Pro-trend pullback : Uptrend with correlation 0.7. Deviation dips to −1.2 sigma while price sits near the −1 sigma band. Buy the dip, target the fair value line, trail if the line is rising. Lead-lag timing : Reference leads by +3 bars with improved correlation. Use reference swings as early cues to anticipate deviation turns on the target. Caveats The model assumes a stable relationship over the chosen windows. Structural breaks, policy shocks, and index rebalances can invalidate recent history. Correlation is descriptive, not causal. A strong correlation does not guarantee future convergence. Do not force trades when the reference has low liquidity or mismatched hours. Use a reference timeframe that captures real overlap. Bottom line This tool turns a loose cross-asset intuition into a quantified, visual fair value map. It gives you a consistent way to find rich or cheap conditions, time mean-reversion toward a statistically grounded target, and confirm or fade trends when the driver agrees.
Penunjuk Pine Script®
oleh BackQuant
NY 4H Wyckoff State Machine [CHE] NY 4H Wyckoff State Machine — Full (Re-Entry, Breakout, Wick, Re-Accum/Distrib, Dynamic Table) — One-Candle Wyckoff Re-Entry (OCWR) Summary OCWR operationalizes a one-candle session workflow: mark the first four-hour New York candle, fix its high and low as the session range when the window closes, and drive entries through a Wyckoff-style state machine on intraday bars. The script adds an ATR-scaled buffer around the range and requires multi-bar acceptance before treating breaks or re-entries as valid. Optional wick-cluster evidence, a proximity retest, and simple volume or RSI gates increase selectivity. Background tints expose regimes, shapes mark events, a dynamic table explains the current state, and hidden plots supply alert payloads. The design reduces random flips and makes state transitions auditable without higher-timeframe calls. Origin and name Method name: One-Candle Wyckoff Re-Entry (OCWR) Transcript origin: The source idea is a “stupid simple one-candle scalping” routine: mark the first New York four-hour candle (commonly between one and five in the morning New York time), drop to five minutes, observe accumulation inside, wait for a manipulation move outside, then trade the re-entry back inside. Stops go beyond the excursion extreme; targets are either a fixed reward multiple or the opposite side of the range. Preference is given to several manipulation candles. This indicator codifies that workflow with explicit states, acceptance counters, buffers, and optional quality filters. Any external performance claims are not part of the code. Motivation: Why this design? Session levels are widely respected, yet single-bar breaches around them are noisy. OCWR separates range discovery from trade logic. It locks the range at the end of the window, applies an ATR-scaled buffer to ignore marginal oversteps, and requires acceptance over several bars for breaks and re-entries. Wick evidence and optional retest proximity help confirm that an excursion likely cleared liquidity rather than launched a trend. This yields cleaner transitions from test to commitment. What’s different vs. standard approaches? Baseline: Static session lines or one-shot Wyckoff tags without process control. Architecture: Dual long and short state machines; ATR-buffered edges; multi-bar acceptance for breaks and re-entries; optional wick dominance and cluster checks; optional retest tolerance; direct and opposite breakout paths; cooldown after fires; distribution timeout; dynamic table with highlighted row. Practical effect: Fewer single-bar head-fakes, clearer hand-offs, and on-chart explanations of the machine’s view. Wyckoff structure by example — OCWR on five minutes One-candle setup: On the four-hour chart, mark the first New York candle’s high and low, then switch to five minutes. Solid lines show the fixed range; dashed lines show ATR-buffered edges. Long path (verbal mapping): Phase A, Stopping Action: Price stabilizes inside the range. Phase B, Consolidation: Sustained balance while the window is closed and after the range is fixed. Phase C, Test (Spring): Excursion below the buffered low with preference for several outside bars and dominant lower wicks, then a return inside. Re-entry acceptance: A required run of inside bars validates the test. Phase D, Breakout to Markup: Long signal fires; stop beyond the excursion extreme; objective is the opposite range or a fixed reward multiple. Phase E, Trend (Markup) and Re-Accumulation: Advance continues until target, stop, confirmation back against the box, or timeout. A pause inside trend may register as re-accumulation. Short path mirrors the above: A UTAD-style move forms above the buffered high, then re-entry leads to Markdown and possible re-distribution. Variant map (verbal): Accumulation after a downtrend: with Spring and Test, or without Spring; both proceed to Markup and may pause in Re-Accumulation. Distribution after an uptrend: with UTAD and Test, or without UTAD; both proceed to Markdown and may pause in Re-Distribution. Note: Phases A through E occur within each variant and are not separate variants. How it works (technical) Session window: A configurable four-hour New York window records its high and low. At window end, the bounds are fixed for the session. ATR buffer: A margin above and below the fixed range discourages triggers from tiny oversteps. Inside and outside: Users choose close-based or wick-based detection. Overshoot requirements are expressed verbally as a fraction of the range with an optional absolute minimum. Manipulation tracking: The machine counts bars spent outside and records the side extreme. Re-entry acceptance: After a return inside, a specified number of inside bars must print before acceptance. Direct and opposite breakouts: Direct breakouts from accumulation and opposite breakouts after manipulation are supported, subject to acceptance and optional filters. Targets and exits: Choose the opposite boundary or a fixed reward multiple. Distribution ends on target, stop, confirmation back against the range, or timeout. Context filters (optional): Volume above a scaled SMA, RSI thresholds, and a trend SMA for simple regime context. Diagnostics: Background tints for regimes; arrows for re-entries; triangles for breakouts; table with row highlights; hidden plots for alert values. Central table (Wyckoff console) The table sits top-right and explains the machine’s stance. Columns: Structure label, plain-English description, active state pair for long and short, and human phase tags. Rows: Start and range building; accumulation branch with Spring and Test as well as direct breakout; Markup and re-accumulation; distribution branch with UTAD and Test as well as direct short breakout; Markdown and re-distribution. Only the active state cell is rewritten each last bar, for example “L_ACCUM slash S_ACCUM”. Row highlighting is context-aware: accumulation, Spring or UTAD, breakout, Markup or Markdown, and re-accumulation or re-distribution checks can highlight independently so users see simultaneous conditions. The table is created once, updated only on the last bar for efficiency, and functions as a read-only console to audit why a signal fired and where the path currently sits. Parameter Guide Session window and time zone: First four hours of New York by default; time zone “America/New_York”. ATR length and buffer factor: Control buffer size; larger reduces sensitivity, smaller reacts faster. Minimum overshoot (fraction and absolute): Demand meaningful extension beyond the buffer. Break mode: Close-based is stricter; wick-based is more reactive. Acceptance counts: Separate counts for break, re-entry, and opposite breakout; higher values reduce noise. Minimum bars outside: Ensures manipulation is not a single spike. Wick detection and clusters (optional): Dominance thresholds and cluster size within a short window. Retest required and tolerance (optional): Gate re-entry by proximity to the buffered edge. Volume and RSI filters (optional): Simple gates on activity and momentum. TP mode and reward multiple: Opposite range or fixed multiple. Cooldown and distribution timeout: Rate-limit signals and prevent endless distribution. Visualization toggles: Background phases, labels, table, and helper lines. Reading & Interpretation Solid lines are the fixed session bounds; dashed lines are buffers. Backgrounds tint accumulation, manipulation, and distribution. Arrows show accepted re-entries; triangles show direct or opposite breakouts. Labels can summarize entry, stop, target, and risk. The table highlights the active row and the current state pair. Practical Workflows & Combinations OCWR baseline: Each morning, mark the New York four-hour candle, move to five minutes, prefer multi-bar manipulation outside, then wait for a qualified re-entry inside. Stop beyond the excursion extreme. Target the opposite range for conservative management or a fixed multiple for uniform sizing. Trend following: Favor direct breakouts with trend alignment and no contradictory wick evidence. Quality control: When noise rises, increase acceptance, raise the buffer factor, enable retest, and require wick clusters. Discretionary confluences: Fair-value gaps and trend lines can be added by the user; they are not computed by this script. Behavior, Constraints & Performance Closed-bar confirmation is recommended when you require finality; live-bar conditions can change until close. The script does not call higher-timeframe data. It uses arrays, lines, labels, boxes, and a table; maximum bars back is five thousand; table updates are last-bar only. Known limits include compressed buffers in quiet sessions, unreliable wick evidence in thin markets, and session misalignment if the platform time zone is not New York. Sensible Defaults & Quick Tuning Start with ATR length fourteen, buffer factor near zero point fifteen, overshoot fraction near zero point ten, acceptance counts of two, minimum outside duration three, retest required on. Too many flips: increase acceptance, raise buffer, enable retest, and tighten wick thresholds. Too slow: reduce acceptance, lower buffer, switch to wick-based breaks, disable retest. Noisy wicks: increase minimum wick ratio and cluster size, or disable wick detection. What this indicator is—and isn’t A session-anchored visualization and signal layer that formalizes a Wyckoff-style re-entry and breakout workflow derived from a single four-hour New York candle. It is not predictive and not a complete trading system. Use with structure analysis, risk controls, and position management. Disclaimer The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context. Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved. By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk. Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts. Best regards and happy trading Chervolino
Penunjuk Pine Script®
oleh chervolino
Torus Trend Bands — Windowed HammingTorus Trend Bands — Windowed Hamming This TradingView indicator creates dynamic support and resistance bands on your chart. It uses the mathematical model of a torus (a donut shape) to generate cyclical and responsive channel boundaries. The bands are further refined with an advanced smoothing method called a Hamming window to reduce noise and provide a clearer signal. How It Works The Torus Model: The indicator maps price action onto a geometric torus shape. This is defined by two key parameters: Major Radius (a): The distance from the center of the torus to the center of the tube. This controls the overall size and primary cycle. Minor Radius (b): The radius of the tube itself. This controls the secondary, faster "breathing" motion of the bands. Dual-Phase Engine: The behavior of the bands is driven by two different cyclical inputs, or "phases": Major Rotation (φ): A slow, time-based cycle (φ period) that governs the long-term oscillation of the bands. Minor Rotation (q): A fast, momentum-based cycle derived from the Relative Strength Index (RSI). This makes the bands react quickly to price momentum, expanding and contracting as the market becomes overbought or oversold. Standard Technical Core : The torus model is anchored to the price chart using standard indicators: Midline : A central moving average that acts as the baseline for the channel. You can choose from EMA, SMA, HMA, or VWAP. Width Source: A volatility measure that determines the fundamental width of the bands. You can choose between the Average True Range (ATR) or Standard Deviation. Hamming Window Smoothing: This is a sophisticated weighted averaging technique (a Finite Impulse Response filter) used in digital signal processing. It provides exceptionally smooth results with less lag than traditional moving averages. You can apply this smoothing to the RSI, the midline, and the width source independently to filter out market noise. How to Interpret and Use the Indicator Dynamic Support & Resistance: The primary use is to identify potential reversal or continuation points. The upper band acts as dynamic resistance, and the lower band acts as dynamic support. Trend Identification: The color of the bands helps you quickly see the current trend. Teal bands indicate an uptrend (the midline is rising), while red bands indicate a downtrend (the midline is falling). Volatility Gauge: When the bands widen, it signals an increase in market volatility. When they contract, it suggests volatility is decreasing. Alerts: The indicator includes built-in alerts that can notify you when the price touches or breaks through the upper or lower bands, helping you stay on top of key price action. Key Settings Torus Parameters : Adjust Major radius a and Minor radius b to change the shape and cyclical behavior of the bands. Phase Controls: φ period: Controls the length of the main, slow cycle in bars. RSI length → q: Sets the lookback for the RSI that drives the momentum-based cycle. Midline & Width: Choose the type and length for the central moving average and the volatility source (ATR/StDev) that best fits your trading style. Width & Bias Shaping: Min/Max width ×: Control how much the bands expand and contract. Bias ×: Shifts the entire channel up or down based on RSI momentum, helping the bands better capture strong trends. Hamming Controls: Enable or disable the advanced smoothing on different parts of the indicator and set the Hamming length (a longer length results in more smoothing). This indicator provides a unique and highly customizable way to visualize market cycles, volatility, and trend, combining geometry with proven technical analysis tools.
Penunjuk Pine Script®
oleh Cmo22
4h 相对超跌筛选器 · Webhook v2.0## 指标用途 用于你的「框架第2步」：在**美股 RTH**里，按**4h 收盘**（06:30–10:30 PT 为首根）筛出相对大盘/行业**显著超跌**且结构健康的候选标的，并可**通过 Webhook 自动推送**`symbol + ts`给下游 AI 执行新闻甄别（第3步）与进出场评估（第4步）。 ## 工作原理（核心逻辑） * **结构健康**：最近 80 根 4h 中，收盘 > 4h_SMA50 的占比 ≥ 阈值（默认 55%）。 * **跌深条件**：4h 跌幅 ≤ −4%，且近两根累计（≈8h）≤ −6%。 * **相对劣化**：相对大盘（SPY/QQQ）与相对行业（XLK/XLF/… 或 KWEB/CQQQ）各 ≤ −3%。 * **流动性与价格**：ADV20_USD ≥ 2000 万；价格 ≥ 3 美元。 * **只在 4h 收盘刻评估与触发**，历史点位全部保留，便于回放核验。 * **冷却**：同一标的信号间隔 ≥ N 天（默认 10）。 ## 主要输入参数 * **bench / sector**：大盘与行业基准（例：SPY/QQQ，XLK/XLF/XLY；中概用 KWEB/CQQQ）。 * **advMinUSD / priceMin**：20 日美元成交额下限、最小价格。 * **pctAboveTh**：结构健康阈值（%）。 * **drop4hTh / drop8hTh**：4h/8h 跌幅阈值（%）。 * **relMktTh / relSecTh**：相对大盘/行业阈值（%）。 * **coolDays**：冷却天数。 * **fromDate**：仅显示此日期后的历史信号（图表拥挤时可用）。 * **showTable / tableRows**：是否显示右上角“最近信号表”及行数。 ## 图表信号 * **S2 绿点**：当根 4h 收盘满足全部筛选条件。 * **右上角表格**：滚动列出最近 N 条命中（`SYMBOL @ yyyy-MM-dd HH:mm`，按图表本地时区）。 ## Webhook 联动（生产用） 1. 添加指标 → 🔔 新建警报（Alert）： * **Condition**：`Any alert() function call` * **Options**：`Once per bar close` * **Webhook URL**：填你的接收地址（可带 `?token=...`） * **Message**：留空（脚本内部 `alert(payload)` 会发送 JSON）。 2. 典型 JSON 载荷（举例）： ```json { "event": "step2_signal", "symbol": "LULU", "symbol_id": "NASDAQ:LULU", "venue": "NASDAQ", "bench": "SPY", "sector": "XLY", "ts_bar_close_ms": 1754524200000, "ts_bar_close_local": "2025-06-06 10:30", "price_close": 318.42, "ret_4h_pct": -5.30, "ret_8h_pct": -7.45, "rel_mkt_pct": -4.90, "rel_sec_pct": -3.80 } ``` > 建议以 `symbol + ts_bar_close_ms` 做去重键；接收端先快速 `200 OK`，后续异步处理并交给第3步 AI。 ## 使用建议 * **时间框架**：任意周期可用，指标内部统一拉取 240 分钟数据并仅在 4h 收盘刻触发。 * **行业映射**：尽量选与个股业务最贴近的 ETF；中国 ADR 可用 `PGJ/KWEB/CQQQ` 叠加细分行业对照。 * **回放验证**：Bar Replay **不发送真实 Webhook**；仅用于查看历史命中与表格。测试接收端请用 Alert 面板的 **Test**。 ## 适配说明 * Pine Script **v5**。 * 不含成分筛查逻辑（请在你的 500–600 只候选池内使用）。 * 数字常量不使用下划线分隔；如需大数可用 `20000000` 或 `2e7`。 ## 常见问题 * ⛔️ 报错 `tostring(...)`：Pine 无时间格式化重载，脚本已内置 `timeToStr()`。 * ⛔️ `syminfo.exchange` 不存在：已改用 `syminfo.prefix`（交易所前缀）。 * ⛔️ 多行字符串拼接报 `line continuation`：本脚本已用括号包裹或 `str.format` 规避。 ## 免责声明 该指标仅供筛选与研究使用，不构成投资建议。请结合你的第3步新闻/基本面甄别与第4步执行规则共同决策。
Penunjuk Pine Script®
oleh lvyaofeng19920413
CHAN CRYPTO RS🩷 ATR RS (Crypto / High-based 2.1x, Decimal Safe v2) This indicator is designed for crypto position sizing and stop calculation using ATR-based risk management. It helps traders automatically determine the stop price, per-unit risk, and optimal position size based on a fixed risk amount in USDT. 🔧 Core Logic ATR Length (Daily RMA) — calculates the daily Average True Range (ATR) using RMA smoothing. ATR Multiplier (2.1× default) — defines how far the stop is placed from the daily high. Stop Price (for Longs) = Daily High − ATR × Multiplier Per-Unit Risk = (Entry − Stop) × Point Value Position Size = Risk Amount ÷ Per-Unit Risk Automatically handles decimal precision for micro-priced crypto assets (e.g., PEPE, SHIB). Includes safeguards for minimum size and maximum position caps. 💡 Features Uses Daily ATR without lookahead (no repainting). Dynamically switches between current and previous ATR for stable results when the daily bar isn’t yet confirmed. “Snap to tick” ensures stop prices align with the symbol’s tick size. Table display summarizes ATR, stop price, per-unit risk, total risk, size, and bet amount. Optional stop label on the chart for visual clarity. 🧮 Output Table Metric Description ATR(10) Daily RMA-based ATR ATR used Chosen ATR (current or previous) Stop Calculated stop price Per-unit Risk per coin/unit Risk Total risk in USDT Size Optimal position size Bet Total position value (Entry × Size) 🧠 Ideal For Crypto traders who use fixed-risk ATR strategies and need precise, decimal-safe position sizing even for ultra-low-priced tokens.
Penunjuk Pine Script®
oleh turtlekim
Ahi Ultimate Script v6Ultimate Script v6 – a clean and flexible tool for monitoring price action: Shows key moving lines for tracking market direction, with options to turn each line on or off. Highlights short-term levels where price may react, using small horizontal lines. Displays visual signals like “LONG” or “SELL” directly on the chart to help spot opportunities. Marks important time-based ranges with colored boxes for quick reference. All elements are clear, adjustable, and designed to keep your chart neat and easy to read
Penunjuk Pine Script®
oleh Smartway786
ZS Master Vision Pro - Advanced Multi-Timeframe Trading SystemZS MASTER VISION PRO - PROFESSIONAL TRADING SUITE Created by Zakaria Safri A comprehensive, all-in-one trading system combining multiple proven technical analysis methods into a single, powerful indicator. Designed for traders who demand precision, clarity, and actionable signals across all timeframes. KEY FEATURES CORE TREND ALGORITHM Adaptive ATR-based trend detection with dynamic support and resistance zones. Features Type A and Type B signal modes for different trading styles, strong signal detection in key reversal zones, and optional EMA source smoothing for noise reduction. MULTI-LAYER EMA CLOUD SYSTEM Five customizable EMA cloud layers for multi-timeframe analysis with theme-adaptive color coding across five professional themes. Optional line display for detailed MA tracking with configurable periods from scalping to position trading. WAVE TREND OSCILLATOR Advanced momentum oscillator with channel-based calculations featuring smart reversal detection at extreme overbought and oversold levels. Includes directional strength confirmation and customizable sensitivity with adjustable reaction periods. DIVERGENCE SCANNER Detects four types of divergence automatically: - Regular Bullish: Price making lower lows while oscillator making higher lows - Regular Bearish: Price making higher highs while oscillator making lower highs - Hidden Bullish: Trend continuation signals in uptrends - Hidden Bearish: Trend continuation signals in downtrends Automatic fractal-based detection with clear visual labels on chart. MARKET BIAS INDICATOR Heikin Ashi-based trend strength analysis with real-time bias calculation showing Bullish or Bearish combined with Strong or Weak conditions. Smoothed for cleaner signals and perfect for trend confirmation. MOMENTUM SYSTEM Proprietary momentum calculation using adaptive smoothing with growing and falling state detection. Normalized values for consistent interpretation and responsive to rapid market changes. DYNAMIC SUPPORT AND RESISTANCE Automatic pivot-based support and resistance level detection with adjustable left and right bar lookback. Non-repainting levels with visual clarity through color-coded lines. LIVE INFORMATION DASHBOARD Real-time market analysis panel displaying current trend direction, market bias based on Heikin Ashi, Wave Trend status and value, and momentum trend with state. Customizable display options with theme-adaptive colors. VISUAL CUSTOMIZATION FIVE PROFESSIONAL COLOR THEMES: Pro - Modern green and red color scheme (default) Classic - Traditional teal and red combination Cyberpunk - Neon cyan and magenta contrast Ocean - Blue and orange contrast Sunset - Gold and red warmth SIGNAL STYLES: Labels with emoji indicators (BUY with rocket, SELL with bear, STRONG with lightning) Arrows for clean minimal appearance Triangles for classic approach DISPLAY OPTIONS: Color-coded candles following trend direction Trend background highlighting for instant trend recognition Optional EMA line display for detailed analysis Adjustable transparency levels for personal preference SMART ALERTS Pre-configured alert conditions for all major signals: Buy signals for standard entry opportunities Sell signals for standard exit or short opportunities Strong buy signals for high-confidence long entries Strong sell signals for high-confidence short entries Bullish divergence detection alerts Bearish divergence detection alerts Alert messages automatically include ticker symbol, current price, and specific signal type for quick decision making. HOW TO USE FOR TREND TRADERS: Enable EMA Clouds with focus on Cloud 5 featuring 50 and 200 period moving averages. Wait for trend background color change to confirm direction. Enter on STRONG signals aligned with higher timeframe trend direction. Use support and resistance levels for strategic exits. FOR SWING TRADERS: Enable Wave Trend Oscillator information display. Look for oversold and overbought reversal setups. Confirm potential reversals with divergence scanner. Enter on smart reversal signals with proper risk management. FOR SCALPERS: Use Type B signal mode for more frequent trading signals. Enable Cloud 1 with 5 and 13 periods for quick trend confirmation. Focus on momentum growing and falling states for entry timing. Take quick entries on regular buy and sell signals. FOR POSITION TRADERS: Use Type A mode with higher ATR multiplier set to 3.0 or above. Enable only Cloud 5 with 50 and 200 periods for major trend confirmation. Only take STRONG signals for highest probability setups. Hold positions through minor pullbacks and noise. RECOMMENDED SETTINGS STOCKS ON DAILY TIMEFRAME: Trend Period: 180 ATR Period: 155 ATR Multiplier: 2.1 Signal Mode: Type A FOREX ON HOURLY AND 4-HOUR TIMEFRAMES: Trend Period: 150 ATR Period: 120 ATR Multiplier: 2.5 Signal Mode: Type A CRYPTOCURRENCY ON 15-MINUTE AND 1-HOUR TIMEFRAMES: Trend Period: 100 ATR Period: 80 ATR Multiplier: 3.0 Signal Mode: Type B SCALPING ON 1-MINUTE AND 5-MINUTE TIMEFRAMES: Trend Period: 50 ATR Period: 40 ATR Multiplier: 2.0 Signal Mode: Type B WHAT IS INCLUDED Trend Analysis using ATR-based adaptive algorithm Five EMA Cloud Layers for multi-timeframe confluence Wave Trend Oscillator for momentum and reversal detection Divergence Scanner detecting four types of divergence Market Bias using Heikin Ashi-based trend strength Momentum System with advanced momentum tracking Support and Resistance Levels with automatic pivot detection Live Dashboard showing real-time market analysis Smart Alerts featuring six pre-configured alert types Five Color Themes offering professional visual options TECHNICAL DETAILS CALCULATION METHODS: Average True Range (ATR) for volatility adaptation Exponential Moving Average (EMA) and Simple Moving Average (SMA) for trend smoothing Wave Trend channel oscillator for momentum analysis Fractal-based divergence detection algorithm Heikin Ashi transformation for bias calculation Logarithmic momentum calculation for precision PERFORMANCE CHARACTERISTICS: Optimized for maximum speed and efficiency No repainting signals ensuring reliability Works on all timeframes from 1 minute to monthly Compatible with all instruments including stocks, forex, crypto, and futures RISK DISCLAIMER This indicator is a technical analysis tool and should not be used as the sole basis for trading decisions. Always use proper risk management and never risk more than you can afford to lose. Combine with other analysis methods and practice on demo accounts first. Past performance does not guarantee future results. Trading carries substantial risk and is not suitable for all investors. SUPPORT AND UPDATES Regular updates and continuous improvements Based on proven technical analysis principles Developed following Pine Coders best practices and standards Clean, well-documented, and optimized code structure WHY CHOOSE ZS MASTER VISION PRO All-in-one solution eliminating the need for multiple indicators Highly customizable to adapt to your specific trading style Professional grade analysis with institutional-quality standards Clean interface that is not cluttered or confusing Works everywhere across all markets and all timeframes Smart signals filtered for quality over quantity Beautiful design featuring five professional color themes Active development with regular improvements and updates Transform your trading with ZS Master Vision Pro today. Version 2.0 | Created by Zakaria Safri | Pine Script Version 5
Penunjuk Pine Script®
oleh zakariasafri47
Index of Civilization DevelopmentIndex of Civilization Development Indicator This Pine Script (version 6) creates a custom technical indicator for TradingView, titled Index of Civilization Development. It generates a composite index by averaging normalized stock market performances from a selection of global country indices. The normalization is relative to each index's 100-period simple moving average (SMA), scaled to a percentage (100% baseline). This allows for a comparable "development" or performance metric across diverse markets, potentially highlighting trends in global economic or "civilizational" progress based on equity markets.The indicator plots as a single line in a separate pane (non-overlay) and is designed to handle up to 40 symbols to respect TradingView's request.security() call limits.Key FeaturesComposite Index Calculation: Fetches the previous bar's close (close ) and its 100-period SMA for each selected symbol. Normalizes each: (close / SMA(100)) * 100. Averages the valid normalizations (ignores invalid/NA data) to produce a single "Index (%)" value. Symbol Selection Modes:Top N Countries: Selects from a predefined list of the top 50 global stock indices (by market cap/importance, e.g., SPX for USA, SHCOMP for China). Options: Top 5, 15, 25, or 50. Democratic Countries: ~38 symbols from democracies (e.g., SPX, NI225, NIFTY; based on democracy indices ≥6/10, including flawed/parliamentary systems). Dictatorships: ~12 symbols from authoritarian/hybrid regimes (e.g., SHCOMP, TASI, IMOEX; scores <6/10). Customization:Line color (default: blue). Line width (1-5, default: 2). Line style: Solid line (default), Stepline, or Circles. Data Handling:Uses request.security() with lookahead enabled for real-time accuracy, gaps off, and invalid symbol ignoring. Runs calculations on every bar, with max_bars_back=2000 for historical depth. Arrays are populated only on the first bar (barstate.isfirst) for efficiency. Predefined Symbol Lists (Examples)Top 50: SPX (USA), SHCOMP (China), NI225 (Japan), ..., BAX (Bahrain). Democratic: Focuses on free-market democracies like USA, Japan, UK, Canada, EU nations, Australia, etc. Dictatorships: Authoritarian markets like China, Saudi Arabia, Russia, Turkey, etc. Usage TipsAdd to any chart (e.g., daily/weekly timeframe) to view the composite line. Ideal for macro analysis: Compare democratic vs. authoritarian performance, or track "top world" equity health. Potential Limitations: Relies on TradingView's symbol availability; some exotic indices (e.g., KWSEIDX) may fail if not supported. The 40-symbol cap prevents errors. Interpretation: Values >100 indicate above-trend performance; <100 suggest underperformance relative to recent averages. This script blends financial data with geopolitical categorization for a unique "civilization index" perspective on global markets. For modifications, ensure symbol tickers match TradingView's format.
Penunjuk Pine Script®
oleh iCD_creator
Friday’s Close – Futures Weekend AnchorPurpose: This indicator highlights the US futures weekend close price — the exact level where CME markets end trading on Friday at 4:00 PM CT / 5:00 PM ET. It’s designed primarily for crypto traders who want to compare weekend market behavior to the traditional finance (TradFi) close. Why it matters: Crypto trades 24/7, but global liquidity and sentiment still pivot around the Friday futures close. During the weekend, crypto can “drift” relative to traditional markets — this line shows exactly where the week ended for Wall Street, giving you a clean reference point until futures reopen on Sunday evening. Features Precise Friday close capture (CME weekend close minute, not just daily bar) Works on any ticker — especially useful for BTC, ETH, or other crypto assets Adjustable for time zone (New York / Chicago / custom) Option to select prior weeks with weekOffset Draws a single clean line from Friday’s close forward — no clutter, no vertical stitches Optional right-edge label with the close value and timestamp Usage Tips Keep the chart’s timezone in sync with your anchor (America/New_York = 5 PM ET, America/Chicago = 4 PM CT). Use weekOffset = 1 to view last week’s Friday close. Combine with volume, funding, or open interest indicators to see how weekend moves relate to the TradFi close. Ideal for weekend analysis — shows whether crypto is trading rich or cheap vs. the Friday benchmark before futures reopen. Recommended For Crypto traders, analysts, and quant enthusiasts who monitor TradFi–crypto decoupling or weekend premium behavior.
Penunjuk Pine Script®
oleh GeoffGolder