Commencez

Cycles

7 Wonder Moving Average [DR Trade]Moving Averages are easy-to-learn indicators for beginners. We provide seven moving average indicators that can be customized to suit each trader's needs. We also offer a selection of moving averages: the Simple Moving Average, the Exponential Moving Average, and the Hull Moving Average. We provide the Hull Moving Average for traders to more accurately identify trends and potential reversals. The HMA is more responsive to recent price changes than the SMA or EMA, while still maintaining a smooth trendline. The HMA was first introduced by Alan Hull to address the lag and noise of traditional moving averages (MAs). The best way to use the HMA indicator is to use a 100-period indicator on the H1 timeframe. The other six indicators can be customized by each trader. Thank you.
Indicateur Pine Script®
par deddyrinaldo
Intraday Toolkit1. Visual Components of the Indicator Understanding the visual cues is essential for quick decision-making during fast-moving intraday sessions: Trend Background: The background color represents the Primary Cycle (80-period) bias. Green indicates a bullish trend (price is above the primary cycle), and red indicates a bearish trend (price is below the primary cycle). The Three Cycles: Yellow Line: Short Cycle (20) – Used for momentum triggers. Orange Line: Mid Cycle (40) – Represents the baseline for volatility envelopes. Red Line: Primary Cycle (80) – Defines the overall trend direction. Volatility Envelopes: Two green lines plotted at a distance (1.5x ATR) from the Mid Cycle. These act as exhaustion zones where price is likely to revert or consolidate. Rule 3 Signals (Purple Circles): These appear when a specific 3-candle momentum breakout occurs. 2. Trading Strategy for 5m & 15m This toolkit is most effective when you use the 15m chart for trend confirmation and the 5m chart for precise entries. Long (Buy) Setup Enter a long position when the following alignment occurs: Bullish Bias: The background must be Green (Price > Primary Cycle). Cycle Low: A pivot low must have been detected (the indicator identifies a local bottom). Momentum Trigger: Price must close above the Yellow Short Cycle line while the previous candle was below it. Rule 3 Confirmation: If a purple circle appears simultaneously, it confirms strong buying momentum. Short (Sell) Setup Enter a short position when the following alignment occurs: Bearish Bias: The background must be Red (Price < Primary Cycle). Cycle High: A pivot high must have been detected (the indicator identifies a local top). Momentum Trigger: Price must close below the Yellow Short Cycle line while the previous candle was above it. Rule 3 Confirmation: A purple circle above the price confirms a bearish momentum shift. 3. Exit and Take-Profit Logic The script includes "State Control" to manage your exits effectively: Targeting the Envelopes: The primary profit target is the Outer Green Envelope. If price touches the upper envelope (for longs) or lower envelope (for shorts), the trend may be exhausted. Momentum Exit: If price crosses back over the Yellow Short Cycle line in the opposite direction of your trade, the toolkit considers the move over and signals an exit. 4. Specific Tips for Day Trading Avoid "Counter-Trend" Signals: Do not take Buy signals if the background is Red, or Sell signals if the background is Green. The logic is built to filter these out for better win rates. The "Rule 3" Advantage: Use the purple circles as a "second chance" entry. If you missed the initial Buy/Sell signal, a Rule 3 circle indicates momentum is still strong in that direction. Timeframe Synergy: * 15m: Best for seeing the "Big Picture" and avoiding noise. 5m: Best for finding entries with smaller stop-losses near the Yellow Short Cycle line.
Indicateur Pine Script®
par sunya
FED Net Liquidity (WALCL - TGA - RRP)a measure of FED net liquidity with color codes. What is FED Net Liquidity? FED Net Liquidity is a proxy for how much usable US-dollar liquidity is actually available to financial markets. It combines three balance-sheet items from the Federal Reserve and the US Treasury into one number: FED Net Liquidity = FED Balance Sheet (WALCL) − Treasury General Account (TGA) − Reverse Repo (RRP) The goal is simple: to estimate how much money is “in play” for risk assets, rather than parked or withdrawn.
Indicateur Pine Script®
par vbarink
Nifty 50 Logarithmic Rainbow (7 Bands)This description is written to be pasted directly into the "Description" field on TradingView when you publish or share the indicator. It explains the logic, how to read it, and the specific calibration for the Nifty 50.Description: Nifty 50 Logarithmic Regression Rainbow (Calibrated)OverviewThis indicator is a long-term valuation tool for the Nifty 50, inspired by the logarithmic regression models used by Benjamin Cowen for Bitcoin. Unlike standard linear trendlines, this model accounts for the exponential growth and diminishing volatility of a maturing stock index over decades.It is designed to help investors identify historical cycle extremes—distinguishing between "generational buying opportunities" and "overheated bubble territory."The MathematicsThe indicator uses a Power Law regression model based on over 30 years of Nifty 50 historical data (from 1990 to the present):$$\ln(\text{Price}) = a + b \cdot \ln(\text{Time} + \text{Offset})$ PSECZ:FIXED Parameters: The slope and intercept are hard-coded based on a best-fit analysis of the Nifty’s history, ensuring the bands remain stable and do not "jump" or repaint when you scroll through the chart.Time Offset: A specific 10,000-day offset is applied to the origin. This flattens the curve to perfectly match the Nifty's stable growth transition from the 1990s through the 2008 and 2020 cycles.How to Read the 7-Band RainbowThe chart is divided into 7 distinct color-coded zones:Red / Orange (Upper Bands): Cycle Peaks. Historically, when the Nifty enters these zones (like in 1992 and 2008), it is significantly overvalued and a correction or consolidation is likely.Yellow (Upper-Mid): Overheated. The index is trading above its fair value.Green / Cyan (Center Bands): Fair Value. This represents the "Mean" of the index. During healthy bull markets, the Nifty 50 spends the majority of its time oscillating within these zones.Blue / Purple (Lower Bands): Generational Value. These zones represent extreme undervaluation. Historically, these have aligned with major market bottoms, such as the 2003 accumulation phase, the 2008 crash bottom, and the 2020 COVID-19 lows.How to UseTimeframe: Optimized for Weekly (W) and Daily (D) views.Scale: IMPORTANT: You MUST enable Logarithmic Scale on your TradingView chart (click the 'Log' button in the bottom right) for the bands to display their intended geometric curves.Customization: You can adjust the Band Width in the settings to fine-tune how strictly the bands wrap around historical peaks and troughs.DisclaimerThis indicator is a mathematical model based on historical data. Past performance is not indicative of future results. It is intended for educational and macro-analysis purposes and should not be used as the sole basis for financial decisions.
Indicateur Pine Script®
par arora_rohit0999
The Fantastic 4 - Momentum Rotation StrategyOverview The Fantastic 4 is a tactical momentum rotation indicator. It rotates capital monthly across four carefully selected assets based on their 75-day Rate of Change (ROC), allocating only to assets with positive momentum and proportionally weighting them by their momentum strength. This indicator tracks the strategy's historical performance, displays current allocation recommendations, and sends monthly rebalance alerts so you can easily manage your portfolio. Simply set your capital amount and the indicator shows exactly how much to invest in each asset. Why These Four Assets? The selection of 20-year Bonds, Gold, Russell 2000, and Emerging Markets is based on their specific volatility and decorrelation characteristics, which allow the strategy to react quickly to market shifts while providing protection during downturns. Russell 2000 (Small Caps) Chosen over the S&P 500 because it is more "lively" and active (Nowadays you could use also the Nasdaq). Its trends are steeper and more vertical, making it easier for a momentum indicator to catch clear trends. While the S&P 500 has more inertia, the Russell 2000 develops faster, allowing the strategy to capture gains in shorter periods. Emerging Markets Included because they can act like a "rocket," offering explosive growth potential while maintaining high decorrelation from developed equity markets. When emerging markets trend, they trend hard. 20-Year Bonds Selected because they are the most decorrelated asset from equities. When a stock market crash occurs, capital typically flows into fixed income, and long-term bonds (20-year) notice this influx the most, making their price reaction more significant and easier to trade. This is the strategy's primary "safe haven." Gold Along with bonds, gold serves as a defensive asset providing a "shield" for the portfolio when general market conditions deteriorate. It offers additional decorrelation and crisis protection. How the Strategy Works The 75-Day Momentum Engine The strategy uses a 75-day momentum lookback (roughly 3.5 months), which is considered very "agile" compared to other models like Global Equity Momentum (GEM) that use 200-day periods. This shorter window allows the strategy to: React quickly to changes in trend Catch upward movements in volatile assets early Exit quickly when trends break Monthly Rebalancing Process At the end of each month: Step 1: Calculate 75-day ROC for each asset Step 2: Filter out assets with negative momentum (they receive 0% allocation) Step 3: Distribute capital proportionally based on momentum strength Step 4: Apply 5% minimum threshold (smaller allocations become zero) Step 5: Apply 80% maximum cap (no single asset exceeds 80%, remainder stays in cash) The 80% Ceiling Rule There is an 80% investment ceiling for any single asset to prevent over-exposure. If only one asset (like bonds) has positive momentum, 80% goes to that asset and 20% remains in cash/liquidity. Behavior in Bearish Markets When markets turn bearish, the strategy protects capital through several mechanisms: Automatic Risk-Off Because the strategy only invests in assets with positive momentum, it automatically moves away from crashing equities. If an asset's trend becomes negative, the strategy stays "on the sidelines" for that asset. The Bond Haven During prolonged bearish periods or sudden crashes (like COVID-19), the strategy typically shifts into 20-year bonds. During the COVID-19 crash in March 2020, while global markets were collapsing, strategies like this reportedly yielded positive returns by being positioned in bonds. Full Liquidity Option If no assets show positive momentum, the strategy moves to 100% cash. This is rare given the decorrelation between the four assets—when equities crash, bonds and gold typically rise. What This Indicator Does This is a tracking and alerting tool that: Calculates the optimal allocation based on current momentum Shows historical monthly performance of the strategy Simulates portfolio equity growth from your specified starting capital Displays exact dollar amounts to invest in each asset Sends monthly rebalance alerts with complete instructions Detects missing data to prevent false signals Features Dynamic allocation table showing weights, dollar amounts, and ROC values Monthly returns history with color-coded performance Data availability detection with visual status indicators Configurable alerts for rebalancing, go-to-cash, and missing data Simulated equity curve from initial capital Settings Guide Assets Configure your four ETFs. The default European ETFs are: Asset 1 - XETR:IS04: iShares 20+ Year Treasury Bond (Bonds) Asset 2 - XETR:GZUR: Gold ETC Asset 3 - XETR:XRS2: Xtrackers Russell 2000 (Small Caps) Asset 4 - XETR:XMME: Xtrackers Emerging Markets (EM) For US markets, consider: TLT (20-year bonds), GLD (Gold), IWM (Russell 2000), EEM (Emerging Markets) Strategy Settings ROC Period - Momentum lookback in daily bars. Default: 75 days (~3.5 months) Max Allocation % - Maximum weight for any single asset. Default: 80% Min Allocation % - Threshold below which allocation becomes zero. Default: 5% Capital Initial Capital - Your portfolio value. The indicator calculates exact amounts for each asset based on this. Default: $20,000 Display Table Positions - Position the allocation and history tables on screen Months of History - How many past months to display (3-24) Alerts Monthly Rebalance Alert - Sends complete allocation details at month end Go-to-Cash Alert - Alerts when all assets have negative momentum Missing Data Alert - Warns when asset data is unavailable How to Use Initial Setup Add indicator to any chart and switch to MONTHLY timeframe Configure your four ETF tickers Set your portfolio capital amount Position the tables where you prefer Setting Up Alerts Click Alert button or press Alt+A Set Condition to "Fanta4" Select "Any alert() function call" Choose notification method (Email, Push, Webhook, etc.) Set expiration to "Open-ended" Monthly Workflow Receive rebalance alert at the start of each month Alert shows exact percentages AND dollar amounts for each asset Adjust your portfolio accordingly No action needed during the month Reading the Tables Green = positive returns/momentum Red = negative returns/momentum Orange "N/A" = missing data Alloc column shows weight distribution (e.g., "45/35/20/—") Alert Message Example Monthly alerts include: Target month for the new allocation Current portfolio value Each asset's percentage AND dollar amount Each asset's momentum (ROC) value Cash allocation if applicable Total return since inception Historical Context This strategy combines elements of: Dual Momentum (Gary Antonacci) - Relative and absolute momentum Global Equity Momentum (GEM) - But with shorter 75-day vs 200-day lookback Risk parity concepts - Decorrelated asset selection The key innovation is the specific asset selection optimized for momentum trading and the agile 75-day lookback period that allows faster reactions to trend changes. Data Requirements The strategy activates only when all four assets have valid price data (minimum 75 days of history). The data status row shows checkmarks for available data. Note: Some ETFs have limited history (e.g., XMME data starts June 2017). Limitations This is a tracking indicator, not an automated trading system Past performance is hypothetical and does not guarantee future results Requires all four assets to have valid data; partial allocation not supported Monthly rebalancing may miss shorter-term momentum shifts Transaction costs, slippage, and taxes are not included in simulation ETF availability and liquidity vary by region The 75-day momentum may whipsaw in choppy, trendless markets Disclaimer This indicator is for educational and informational purposes only. It does not constitute financial advice. Version History v1.0 - Initial release with momentum rotation, allocation tables, data validation, and monthly alerts
Indicateur Pine Script®
par luiscaballero
TSLA Cycle Timing - 122-Day Reversal Map (Adaptive Framework)This indicator is a timing map built specifically for Tesla (TSLA) on the Daily chart. It plots a repeating set of vertical, color-coded timing markers inside a 122-bar cycle (commonly treated as ~122 trading days on the Daily timeframe). These markers highlight reversal “zones”—areas where TSLA has historically shown a tendency to pivot from high-to-low and low-to-high within the cycle. The script includes: 23 TSLA-derived set points (Points 1–23): the core timing map used to mark the most repeatable reversal areas. Two optional “Inversion Points” (INV A / INV B): manual markers you can enable when TSLA’s high/low sequence appears to flip due to a structural deviation. One additional optional marker (OPT C) for user customization. This is not an auto-buy/sell system. It is a cycle-structure framework designed to help you anticipate when a reversal is more likely to occur, so you can combine it with your own confirmation tools (price action, trend context, support/resistance, volume, etc.). Definitions (How this script interprets highs/lows) In the context of cycle mapping: A High Point is the highest price reached between two neighboring high pivots. A Low Point is the lowest price reached between two neighboring low pivots. The vertical lines are timing markers, not “guaranteed pivot candles.” Price may top/bottom slightly before or after a line. That’s why the script includes an optional ± window (in bars) to visualize a small tolerance zone around each marker. How it works (Conceptually) The script defines a repeating cycle length (default 122 bars). Inside each cycle, each point has an offset measured in bars from the cycle start. For every cycle instance (past, current, and optional future cycles), the script draws: a vertical dotted line at each enabled point offset optional ± window bands around the line optional labels (numbers for set points and “INV” labels for inversion points) Because this is a Tesla-specific map, the default offsets for Points 1–23 are preconfigured based on TSLA’s observed structure, and the remaining optional points are user-controlled. How to Use (Important) 1) Use the Daily chart first This model is designed around TSLA’s Daily cycle behavior. Start with: Symbol: TSLA Timeframe: 1D If you use other timeframes, the cycle “tempo” can change and may require different offsets. 2) Identify the cycle start (anchor) Cycle mapping depends on where the current cycle is anchored. Use “Bars Back to Current Cycle Start” to shift the cycle start so that the script’s point sequence aligns with your most recent known cycle beginning. Once aligned, the points should repeat near each 122-bar interval. 3) Read the vertical markers as reversal zones The colored vertical lines represent areas where reversals have historically occurred, not a promise that price must reverse exactly on the line. A practical approach: Use the marker as a “heads-up” zone Wait for confirmation (trend break, candle structure, momentum shift, key level reaction, etc.) 4) Understand “set points” vs “Inversion Points” Set Points (1–23) These are the primary TSLA reversal zones that tend to recur within the 122-bar structure. Specific numbered points often appear near the same relative position inside each cycle. Inversion Points (INV A / INV B) Occasionally, TSLA’s cycle behavior can flip—meaning the expected high-to-low (or low-to-high) progression temporarily swaps order. This is what I refer to as an inversion. When you see a cycle behaving “backwards” relative to the usual sequence: Enable INV A and/or INV B Place their offsets at the bar locations where the flip becomes obvious Use these markers as manual annotations so your cycle notes stay consistent even when TSLA deviates from its typical rhythm These inversion markers do not force the script to predict a flip—they allow you to document it cleanly. 5) Use the ± Window Bands to manage real-world variance Markets don’t pivot on perfect timestamps. If a reversal tends to happen “around” a point: Enable ± Window Bands Set Window ± Bars (commonly 1–3 bars on 1D) This gives a realistic visual tolerance zone around each timing marker. Settings Guide (Practical) Cycle Length (bars): 122 (TSLA Daily baseline) Lookback Bars: increase to study more history, decrease for performance Future Cycles: use sparingly; future markers are guidance zones, not guarantees Past Cycles: Lines Only: recommended ON for stable performance Labels at Top: helps keep the chart clean and readable Final Notes / Limitations This is a historical timing framework designed to map TSLA’s repeating reversal structure. It helps estimate when reversal pressure tends to appear, but it does not replace risk management or confirmation. Cycle behavior can stretch, compress, or invert during unusual volatility regimes—hence the inclusion of optional inversion markers.
Indicateur Pine Script®
par Dinjin
StO Price Action - Luminous Daily RoadmapShort Summary - Luminous Daily Roadmap (LDR) are special trading days - Marks entire trading days using background coloring - Creates a clear daily roadmap directly on the chart - Designed to stay minimal and non-intrusive Full Description Overview - LDR is a proprietary forex trading schedule - Dates of major trend reversals or significant market continuations - Highlights full trading days using background colors - Improves visual structure and day-to-day orientation - Focuses purely on time segmentation, not price signals - Suitable for all markets and timeframes Daily Marking Logic - Each trading day is visually marked across all its bars - Background coloring spans the full session of the day - Works consistently across intraday and higher timeframes Year Look Back (YLB) - YLB defines the starting year for day marking - Markings are only applied from the selected year onward - Allows focused analysis on recent or specific years Visualization - Background color is fully customizable - Uses high transparency to avoid hiding price action Usage - Useful for session-based and daily analysis - Supports routine-based trading and journaling - Enhances visual rhythm of the chart Notes - This indicator is purely visual and non-predictive - No alerts or signals are generated - Best used as a structural overlay for orientation - Can be combined with any price action or indicator-based workflow
Indicateur Pine Script®
par sto_svc
BBMA By K1M4K-ID- Final Validated Re-Entry//@version=6 indicator("BBMA By K1M4K-ID- Final Validated Re-Entry", overlay=true, max_labels_count=500) // === INPUT BB === lengthBB = input.int(20, title="BB Period") devBB = input.float(2.0, title="Deviation") src = input.source(close, title="Source") bbColorMid = input.color(color.purple, title="Mid BB Color") bbColorTop = input.color(color.purple, title="Top BB Color") bbColorLow = input.color(color.purple, title="Low BB Color") showFill = input.bool(true, title="Show BB Fill") showReEntrySignals = input.bool(true, "Show Re-Entry Signals (✅)") showSignalTable = input.bool(true, "Show Signal Table") // === BB CALCULATION === basis = ta.sma(src, lengthBB) dev = devBB * ta.stdev(src, lengthBB) topBB = basis + dev lowBB = basis - dev // === PLOT BB === pMid = plot(basis, title="Mid BB", color=bbColorMid, linewidth=2) pTop = plot(topBB, title="Top BB", color=bbColorTop, linewidth=2) pLow = plot(lowBB, title="Low BB", color=bbColorLow, linewidth=2) fill(pTop, pLow, color=showFill ? color.new(color.purple, 85) : na, title="BB Fill") // === INPUT MA SETTING === ma_func(source, length) => ta.wma(source, length) // === MA HIGH/LOW === ma5_high = ma_func(high, 5) ma10_high = ma_func(high, 10) ma5_low = ma_func(low, 5) ma10_low = ma_func(low, 10) // === PLOT MA === p_ma5_high = plot(ma5_high, title="MA 5 High", color=color.green, linewidth=2) p_ma10_high = plot(ma10_high, title="MA 10 High", color=color.green, linewidth=2) fill(p_ma5_high, p_ma10_high, color=color.new(color.green, 85), title="MA High Fill") p_ma5_low = plot(ma5_low, title="MA 5 Low", color=color.red, linewidth=2) p_ma10_low = plot(ma10_low, title="MA 10 Low", color=color.red, linewidth=2) fill(p_ma5_low, p_ma10_low, color=color.new(color.red, 85), title="MA Low Fill") // === EMA 50 === ema50 = ta.ema(close, 50) plot(ema50, title="EMA 50", color=color.blue, linewidth=3) // === CSA KUKUH (LOGIKA ASLI LU - TIDAK DIUBAH) === var bool hasCsaBuy = false var bool hasCsaSell = false isCsaKukuhBuy = close > ma5_high and close > ma10_high and close > basis isCsaKukuhSell = close < ma5_low and close < ma10_low and close < basis if isCsaKukuhBuy and not hasCsaBuy hasCsaBuy := true hasCsaSell := false else if isCsaKukuhSell and not hasCsaSell hasCsaSell := true hasCsaBuy := false showCsaBuy = isCsaKukuhBuy and not hasCsaBuy showCsaSell = isCsaKukuhSell and not hasCsaSell plotshape(showCsaBuy, title="CSA Kukuh Buy First", location=location.belowbar, color=color.green, style=shape.labelup, text="CSAK", textcolor=color.white, size=size.small) plotshape(showCsaSell, title="CSA Kukuh Sell First", location=location.abovebar, color=color.red, style=shape.labeldown, text="CSAK", textcolor=color.white, size=size.small) // === CSM (HANYA SAAT KELUAR DARI DALAM BB) === wasInsideBB = (close >= lowBB and close <= topBB ) csmBuySignal = wasInsideBB and close > topBB csmSellSignal = wasInsideBB and close < lowBB plotshape(csmBuySignal, title="CSM Buy", location=location.abovebar, color=color.green, style=shape.triangleup, text="CSM", size=size.tiny) plotshape(csmSellSignal, title="CSM Sell", location=location.belowbar, color=color.red, style=shape.triangledown, text="CSM", size=size.tiny) // === CSA (BREAKOUT TANPA MELEWATI MID BB) === isCsaBuy = close > ma5_high and close > ma10_high and close <= basis isCsaSell = close < ma5_low and close < ma10_low and close >= basis plotshape(isCsaBuy, title="CSA Buy", location=location.belowbar, color=color.new(color.green, 60), style=shape.circle, text="CSA", size=size.tiny) plotshape(isCsaSell, title="CSA Sell", location=location.abovebar, color=color.new(color.red, 60), style=shape.circle, text="CSA", size=size.tiny) // === EXTREME === basis_ext = ta.sma(close, 20) dev_ext = 2 * ta.stdev(close, 20) isExtremeBuy() => ta.wma(low, 5) < basis_ext - dev_ext isExtremeSell() => ta.wma(high, 5) > basis_ext + dev_ext plotshape(isExtremeBuy(), title="Extreme Buy", location=location.belowbar, color=color.green, style=shape.labelup, text="E", size=size.tiny, textcolor=color.white) plotshape(isExtremeSell(), title="Extreme Sell", location=location.abovebar, color=color.red, style=shape.labeldown, text="E", size=size.tiny, textcolor=color.white) // === ZZL MA === isZzlBuy = (ma5_high > basis and ma10_high > basis and ma5_low > basis and ma10_low > basis and (ma5_high <= basis or ma10_high <= basis or ma5_low <= basis or ma10_low <= basis)) isZzlSell = (ma5_high < basis and ma10_high < basis and ma5_low < basis and ma10_low < basis and (ma5_high >= basis or ma10_high >= basis or ma5_low >= basis or ma10_low >= basis)) var bool zzlBuyShown = false var bool zzlSellShown = false if isZzlBuy and not zzlBuyShown label.new(bar_index, low, "Z", style=label.style_label_up, color=color.green, textcolor=color.white) zzlBuyShown := true if not isZzlBuy zzlBuyShown := false if isZzlSell and not zzlSellShown label.new(bar_index, high, "Z", style=label.style_label_down, color=color.red, textcolor=color.white) zzlSellShown := true if not isZzlSell zzlSellShown := false // =========================================== // === VALIDASI + RE-ENTRY (H4 & H1) === // =========================================== // --- Ambil data --- = request.security(syminfo.tickerid, "240", ) wasInside_h4 = request.security(syminfo.tickerid, "240", (close >= (ta.sma(close, lengthBB) - devBB * ta.stdev(close, lengthBB) ) and close <= (ta.sma(close, lengthBB) + devBB * ta.stdev(close, lengthBB) ))) csmBuy_h4 = wasInside_h4 and request.security(syminfo.tickerid, "240", close > (ta.sma(close, lengthBB) + devBB * ta.stdev(close, lengthBB))) csmSell_h4 = wasInside_h4 and request.security(syminfo.tickerid, "240", close < (ta.sma(close, lengthBB) - devBB * ta.stdev(close, lengthBB))) csakBuy_h4 = close_h4 > ma5h_h4 and close_h4 > ma10h_h4 and close_h4 > basis_h4 csakSell_h4 = close_h4 < ma5l_h4 and close_h4 < ma10l_h4 and close_h4 < basis_h4 csaBuy_h4 = close_h4 > ma5h_h4 and close_h4 > ma10h_h4 and close_h4 <= basis_h4 csaSell_h4 = close_h4 < ma5l_h4 and close_h4 < ma10l_h4 and close_h4 >= basis_h4 csmBuy_h1 = request.security(syminfo.tickerid, "60", (close >= (ta.sma(close, lengthBB) - devBB * ta.stdev(close, lengthBB) ) and close <= (ta.sma(close, lengthBB) + devBB * ta.stdev(close, lengthBB) )) and close > (ta.sma(close, lengthBB) + devBB * ta.stdev(close, lengthBB))) csmSell_h1 = request.security(syminfo.tickerid, "60", (close >= (ta.sma(close, lengthBB) - devBB * ta.stdev(close, lengthBB) ) and close <= (ta.sma(close, lengthBB) + devBB * ta.stdev(close, lengthBB) )) and close < (ta.sma(close, lengthBB) - devBB * ta.stdev(close, lengthBB))) csakBuy_h1 = request.security(syminfo.tickerid, "60", close > ta.wma(high,5) and close > ta.wma(high,10) and close > ta.sma(close, lengthBB)) csakSell_h1 = request.security(syminfo.tickerid, "60", close < ta.wma(low,5) and close < ta.wma(low,10) and close < ta.sma(close, lengthBB)) csaBuy_h1 = request.security(syminfo.tickerid, "60", close > ta.wma(high,5) and close > ta.wma(high,10) and close <= ta.sma(close, lengthBB)) csaSell_h1 = request.security(syminfo.tickerid, "60", close < ta.wma(low,5) and close < ta.wma(low,10) and close >= ta.sma(close, lengthBB)) csmBuy_m15 = request.security(syminfo.tickerid, "15", close > (ta.sma(close, lengthBB) + devBB * ta.stdev(close, lengthBB))) csmSell_m15 = request.security(syminfo.tickerid, "15", close < (ta.sma(close, lengthBB) - devBB * ta.stdev(close, lengthBB))) csakBuy_d = request.security(syminfo.tickerid, "D", close > ta.wma(high,5) and close > ta.wma(high,10) and close > ta.sma(close, lengthBB)) csakSell_d = request.security(syminfo.tickerid, "D", close < ta.wma(low,5) and close < ta.wma(low,10) and close < ta.sma(close, lengthBB)) csaBuy_d = request.security(syminfo.tickerid, "D", close > ta.wma(high,5) and close > ta.wma(high,10) and close <= ta.sma(close, lengthBB)) csaSell_d = request.security(syminfo.tickerid, "D", close < ta.wma(low,5) and close < ta.wma(low,10) and close >= ta.sma(close, lengthBB)) // --- Validasi --- validCsakH4Buy = csakBuy_h4 and ta.highest(csmBuy_h1 ? 1 : 0, 4) == 1 validCsakH4Sell = csakSell_h4 and ta.highest(csmSell_h1 ? 1 : 0, 4) == 1 validCsakH1Buy = csakBuy_h1 and ta.highest(csmBuy_m15 ? 1 : 0, 4) == 1 validCsakH1Sell = csakSell_h1 and ta.highest(csmSell_m15 ? 1 : 0, 4) == 1 validCsmH1Buy = csmBuy_h1 and (csaBuy_h4 or csakBuy_h4) and ta.highest(csmBuy_m15 ? 1 : 0, 4) == 1 validCsmH1Sell = csmSell_h1 and (csaSell_h4 or csakSell_h4) and ta.highest(csmSell_m15 ? 1 : 0, 4) == 1 validCsmH4Buy = csmBuy_h4 and (csaBuy_d or csakBuy_d) and ta.highest(csmBuy_h1 or csmSell_h1 ? 1 : 0, 4) == 1 validCsmH4Sell = csmSell_h4 and (csaSell_d or csakSell_d) and ta.highest(csmBuy_h1 or csmSell_h1 ? 1 : 0, 4) == 1 // --- Re-Entry Area --- inReEntryBuy = low <= math.max(ma5_low, ma10_low) inReEntrySell = high >= math.min(ma5_high, ma10_high) // --- Flag Valid + Hit Detection --- var bool vCsakH4B = false, vCsakH4S = false var bool vCsakH1B = false, vCsakH1S = false var bool vCsmH4B = false, vCsmH4S = false var bool vCsmH1B = false, vCsmH1S = false var bool hitCsakH4B = false, hitCsakH4S = false var bool hitCsakH1B = false, hitCsakH1S = false var bool hitCsmH4B = false, hitCsmH4S = false var bool hitCsmH1B = false, hitCsmH1S = false // Reset hit setiap candle hitCsakH4B := false hitCsakH4S := false hitCsakH1B := false hitCsakH1S := false hitCsmH4B := false hitCsmH4S := false hitCsmH1B := false hitCsmH1S := false // Aktifkan flag saat valid vCsakH4B := validCsakH4Buy ? true : vCsakH4B vCsakH4S := validCsakH4Sell ? true : vCsakH4S vCsakH1B := validCsakH1Buy ? true : vCsakH1B vCsakH1S := validCsakH1Sell ? true : vCsakH1S vCsmH4B := validCsmH4Buy ? true : vCsmH4B vCsmH4S := validCsmH4Sell ? true : vCsmH4S vCsmH1B := validCsmH1Buy ? true : vCsmH1B vCsmH1S := validCsmH1Sell ? true : vCsmH1S // Deteksi & reset saat re-entry if vCsakH4B and inReEntryBuy hitCsakH4B := true vCsakH4B := false if vCsakH4S and inReEntrySell hitCsakH4S := true vCsakH4S := false if vCsakH1B and inReEntryBuy hitCsakH1B := true vCsakH1B := false if vCsakH1S and inReEntrySell hitCsakH1S := true vCsakH1S := false if vCsmH4B and inReEntryBuy hitCsmH4B := true vCsmH4B := false if vCsmH4S and inReEntrySell hitCsmH4S := true vCsmH4S := false if vCsmH1B and inReEntryBuy hitCsmH1B := true vCsmH1B := false if vCsmH1S and inReEntrySell hitCsmH1S := true vCsmH1S := false // --- Plot Re-Entry --- //plotshape(showReEntrySignals and hitCsakH4B, location=location.belowbar, color=color.teal, style=shape.labelup, text="✅", size=size.normal) //plotshape(showReEntrySignals and hitCsakH4S, location=location.abovebar, color=color.orange, style=shape.labeldown, text="✅", size=size.normal) //plotshape(showReEntrySignals and hitCsakH1B, location=location.belowbar, color=color.green, style=shape.labelup, text="✅", size=size.small) //plotshape(showReEntrySignals and hitCsakH1S, location=location.abovebar, color=color.red, style=shape.labeldown, text="✅", size=size.small) //plotshape(showReEntrySignals and hitCsmH1B, location=location.belowbar, color=color.green, style=shape.labelup, text="✅ CSM", size=size.tiny) //plotshape(showReEntrySignals and hitCsmH1S, location=location.abovebar, color=color.red, style=shape.labeldown, text="✅ CSM", size=size.tiny) //plotshape(showReEntrySignals and hitCsmH4B, location=location.belowbar, color=color.teal, style=shape.labelup, text="✅ CSM", size=size.tiny) //plotshape(showReEntrySignals and hitCsmH4S, location=location.abovebar, color=color.orange, style=shape.labeldown, text="✅ CSM", size=size.tiny) // =========================================== // === TABEL SIGNAL H1 & H4 (FINAL) === // =========================================== var table sigTable = table.new(position.top_right, 4, 5, border_width=1) if barstate.islast and showSignalTable table.cell(sigTable, 0, 0, "TF", text_color=color.white, bgcolor=color.black) table.cell(sigTable, 1, 0, "Signal", text_color=color.white, bgcolor=color.black) table.cell(sigTable, 2, 0, "Status", text_color=color.white, bgcolor=color.black) table.cell(sigTable, 3, 0, "Re-Entry", text_color=color.white, bgcolor=color.black) table.cell(sigTable, 0, 1, "H4", text_color=color.white, bgcolor=color.black) table.cell(sigTable, 1, 1, "CSAK Buy", text_color=color.green, bgcolor=color.new(color.green, 90)) table.cell(sigTable, 2, 1, vCsakH4B ? "✅ Valid" : "-", text_color=vCsakH4B ? color.green : color.gray, bgcolor=color.new(vCsakH4B ? color.green : color.gray, 90)) table.cell(sigTable, 3, 1, hitCsakH4B ? "✅ Hit" : "-", text_color=hitCsakH4B ? color.teal : color.gray, bgcolor=color.new(hitCsakH4B ? color.teal : color.gray, 90)) table.cell(sigTable, 0, 2, "H4", text_color=color.white, bgcolor=color.black) table.cell(sigTable, 1, 2, "CSAK Sell", text_color=color.red, bgcolor=color.new(color.red, 90)) table.cell(sigTable, 2, 2, vCsakH4S ? "✅ Valid" : "-", text_color=vCsakH4S ? color.red : color.gray, bgcolor=color.new(vCsakH4S ? color.red : color.gray, 90)) table.cell(sigTable, 3, 2, hitCsakH4S ? "✅ Hit" : "-", text_color=hitCsakH4S ? color.orange : color.gray, bgcolor=color.new(hitCsakH4S ? color.orange : color.gray, 90)) table.cell(sigTable, 0, 3, "H1", text_color=color.white, bgcolor=color.black) table.cell(sigTable, 1, 3, "CSM Buy", text_color=color.green, bgcolor=color.new(color.green, 90)) table.cell(sigTable, 2, 3, vCsmH1B ? "✅ Valid" : "-", text_color=vCsmH1B ? color.green : color.gray, bgcolor=color.new(vCsmH1B ? color.green : color.gray, 90)) table.cell(sigTable, 3, 3, hitCsmH1B ? "✅ Hit" : "-", text_color=hitCsmH1B ? color.teal : color.gray, bgcolor=color.new(hitCsmH1B ? color.teal : color.gray, 90)) table.cell(sigTable, 0, 4, "H1", text_color=color.white, bgcolor=color.black) table.cell(sigTable, 1, 4, "CSM Sell", text_color=color.red, bgcolor=color.new(color.red, 90)) table.cell(sigTable, 2, 4, vCsmH1S ? "✅ Valid" : "-", text_color=vCsmH1S ? color.red : color.gray, bgcolor=color.new(vCsmH1S ? color.red : color.gray, 90)) table.cell(sigTable, 3, 4, hitCsmH1S ? "✅ Hit" : "-", text_color=hitCsmH1S ? color.orange : color.gray, bgcolor=color.new(hitCsmH1S ? color.orange : color.gray, 90))
Indicateur Pine Script®
par groupyphantom
1
ICT Power of 3 identify the high-probability Power of 3 pattern by analyzing price behavior rather than just specific times of day. It focuses on how the market builds, traps, and then expands. 1. Accumulation (The Setup) Logic: The script monitors volatility using the Average True Range (ATR). When volatility drops below its recent average, the script recognizes that orders are being "accumulated." Visual: A Blue Dotted Box appears. This marks the equilibrium zone where buy and sell side liquidity is being engineered above and below the high/low of the range. 2. Manipulation (The Trap) Logic: The script looks for a "Sweep." This is defined as price moving outside the blue accumulation box but failing to sustain that move. In the video, this is the "Judas Swing" or false breakout. Visual: A Red Diamond appears above or below the bar. This signals that the script has detected a liquidity grab—essentially, the market has "tricked" breakout traders into the wrong side of the market. 3. Distribution (The Expansion) Logic: This is identified through Displacement. The script calculates the average candle body size. When a candle appears that is significantly larger (based on your Displacement Multiplier), it confirms that "Smart Money" has entered the market. Visual: A Green Triangle appears. This marks the start of the distribution phase, which is the "meat" of the move where you want to be positioned.
Indicateur Pine Script®
par day_trade_mind
Value Area PRO (TPO/Volume Session VAH/VAL/POC) 📌 AP Capital Value Area PRO (TPO / Volume) AP Capital Value Area PRO is a session-based value area indicator designed for Gold (XAUUSD), NASDAQ (NAS100), and other CFD instruments. It focuses on where the market has accepted price during the current session and highlights high-probability interaction zones used by professional traders. Unlike rolling lookback volume profiles, this indicator builds a true session value area and provides actionable signals around VAH, VAL, and POC. 🔹 Core Features Session-Anchored Value Area Value Area is built only during the selected session Resets cleanly at session start Levels develop during the session and can be extended forward No repainting or shifting due to lookback changes TPO or Volume Mode TPO (Time-at-Price) mode – ideal for CFDs and tick-volume data Volume mode – uses broker volume if preferred Same logic, different weighting method Fixed Price Bin Size Uses a fixed bin size (e.g. 0.10 for Gold, 0.25–0.50 for NAS100) Produces cleaner, more realistic VAH/VAL levels Avoids distorted profiles caused by dynamic bin scaling VAH / VAL / POC Levels VAH (Value Area High) VAL (Value Area Low) POC (Point of Control) (optional) Lines can be extended to act as forward reference levels 🔹 Trading Signals & Alerts Value Re-Entry Identifies false breakouts where price: Trades outside value Then closes back inside Often seen before strong mean-reversion or continuation moves. Acceptance Detects initiative activity using: Multiple consecutive closes outside value Filters out weak single-candle breaks Rejection Flags strong rejection candles: Large candle body Wick outside value Close back inside the value area These conditions are especially effective on Gold intraday. 🔹 Optional Profile Histogram Right-side volume/TPO histogram Buy/sell imbalance visualization Fully optional to reduce chart clutter and improve performance 🔹 Best Use Cases Recommended markets XAUUSD (Gold) NAS100 / US100 Other index or metal CFDs Recommended timeframes 5m, 15m, 30m Suggested settings Mode: TPO Value Area: 70% Bin size: Gold: 0.10 NAS100: 0.25 or 0.50 🔹 How Traders Use It Trade rejections at VAH / VAL Look for acceptance to confirm trend days Use re-entries to fade failed breakouts Combine with trend filters, EMA structure, or session context ⚠️ Disclaimer This indicator is provided for educational and analytical purposes only and does not constitute financial advice. Always manage risk appropriately.
Indicateur Pine Script®
par APCapitalTrading
Week High/LowThis indicator plots the Previous Week High and Low as two horizontal dashed lines. It is designed to appear only on the Daily (D) and Weekly (W) timeframes, ensuring a clean higher-timeframe context without lower-timeframe noise. The levels are calculated from the completed weekly candle and automatically update at the start of each new week. These levels serve as weekly liquidity references, commonly used to assess premium/discount zones, potential stop-run areas, and higher-timeframe market reactions.
Indicateur Pine Script®
par bacle8899