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อินดิเคเตอร์และกลยุทธ์

Gold and Bitcoin: The Evolution of Value!The Eternal Luster of Gold In the dawn of time, when the earth was young and rivers whispered secrets to the stones, a wanderer named Elara found a gleam in the silt of a sun-kissed stream. It was pure gold, radiant like a captured star fallen from the heavens. She held it in her palm, feeling its warmth pulse like a heartbeat, and in that moment, humanity’s soul awakened to the allure of eternity. As seasons turned to centuries, gold wove itself into the story of empires. In ancient Egypt, pharaohs crowned themselves with its glow, believing it to be the flesh of gods. It built pyramids that reached for the sky and tombs that guarded kings forever. Across the sands in Mesopotamia, merchants traded it for spices and silks, its weight a promise of power and trust. Translation moment: Gold became the first universal symbol of value. People trusted it more than words or promises because it did not rust, fade, or vanish. The Greeks saw in gold not only wealth but wisdom, the symbol of the sun’s eternal fire. Alexander the Great carried it across the continent, forging an empire of golden threads. Rome rose on its back, minting coins whose clink echoed through history. Through the ages, gold endured the rush of California’s dreamers, the halls of Versailles, and the quiet vaults of modern fortunes. It has been both a curse and a blessing, the fuel of wars and the gift of love, whispering of beauty’s fragility and the human desire for something that lasts beyond the grave. In its shine, we see ourselves fragile yet forever chasing light. The Digital Dawn of Bitcoin Centuries later, under the glow of computer screens, a visionary named Satoshi dreamed of a new gold born not from the earth but from the ether of ideas. Bitcoin appeared in 2009 amid a world weary of banks and broken trust. Like gold’s ancient gleam, Bitcoin was mined not with picks but with puzzles solved by machines. It promised freedom, a currency without kings, flowing from person to person, unbound by borders or empires. Translation moment: Bitcoin works like digital gold. Instead of digging the ground, miners use computers to solve problems and unlock new coins. No one controls it, and that is what makes it powerful. Through doubt and frenzy, it rose as a beacon for those seeking sovereignty in a digital world. Its volatility became its soul, a reminder that true value is built on belief. Bitcoin speaks to ingenuity and rebellion, a star of code guiding us toward a future where wealth is weightless yet profoundly honest. Gold’s Cycles: Echoes of War and Crisis In the early 20th century, gold was held under fixed prices until the Great Depression of 1929 shattered these illusions. The 1934 dollar devaluation lifted it from 20.67 to 35, restoring faith amid despair. When World War II erupted in 1939, gold’s role as a refuge was muted by controls, yet it quietly held its place as the world’s silent guardian. The 1970s awakened its wild spirit. The Nixon Shock of 1971 freed gold from 35, sparking a bull run during the 1973 Oil Crisis. The 1979 Iranian Revolution led to a 1980 peak of 850, a leap of more than 2,000 percent, as investors sought safety from the chaos. Translation moment: When fear rises, people rush to gold. Every major war or economic crisis has sent gold upward because it feels safe when paper money loses trust. The 1987 stock crash caused brief dips, but the 1990 Gulf War reignited its glow. Around 2000, after the Dot-com Bust, gold found new life, climbing from $ 270 to over $1,900 during the 2008 Financial Crisis. It dipped to 1050 in 2015, then surged again past 2000 during the 2020 pandemic. The 2022 Ukraine War added another chapter with prices climbing above 2700 by 2025. Across a century of crises, gold has risen whenever fear tested humanity’s resolve, teaching patience and fortitude through its quiet endurance. Bitcoin’s Cycles: Echoes of Innovation and Crisis Born from the ashes of the 2008 Financial Crisis, Bitcoin began its story at mere cents. It traded below $1 until 2011, when it reached $30 before crashing by 90 percent following the MTGOX collapse. In 2013, it soared to 1242 only to fall again to 200 in 2015 as regulations tightened. The 2017 bull run lifted it to nearly 20000 before another long winter brought it to 3200 in 2018. Each fall taught resilience, each rise renewed belief. During the 2020 pandemic, it fell below 5000 before rallying to 69000 in 2021. The Ukraine War and the FTX collapse of 2022 brought it down to 16000, but also proved its role in humanitarian aid. By 2024, the halving and ETF approvals helped it break 100000, marking Bitcoin’s rise as digital gold. Translation moment: Bitcoin’s rhythm follows four-year halving cycles when mining rewards are cut in half. This keeps supply limited, which often triggers new bull runs as demand returns. Every four years, it's halving cycles 2012, 2016, 2020, 2024, fueling new waves of adoption and correction. Bitcoin grows strongest in times of uncertainty, echoing humanity’s drive to evolve beyond limits. The Harmony of Gold and Bitcoin Modern Parallels In today’s markets, gold’s ancient glow meets Bitcoin’s electric pulse. As of October 17, 2025, their correlation stands near 0.85, close to its historic high of 0.9. Both rise as guardians against inflation and the erosion of trust in the dollar. Gold trades near 4310 per ounce a record high while Bitcoin hovers around 104700 showing brief fractures in their unity. Gold offers the comfort of touch while Bitcoin provides the thrill of code. Together, they reflect fear and hope, the twin emotions that drive every market. Translation moment: A correlation of 0.85 means they often move in the same direction. When fear or inflation rises, both gold and Bitcoin tend to rise in tandem. Analysts warn of bubbles in stocks, gold, and crypto, yet optimism remains for Bitcoin’s growth through 2026, while gold holds its defensive strength. Gold carries risks of storage cost and theft, but steadiness in chaos. Bitcoin carries volatility and regulatory challenges, but it also offers unmatched innovation and reach. One is the anchor, the other the dream, and both reward those who hold conviction through uncertainty. Epilogue: The Timeless Balance Gold and Bitcoin form a bridge between the ancient and the future. Gold, the earth’s eternal treasure, stands as a symbol of stability and truth. Bitcoin, the digital heir, shines with the spark of innovation and freedom. Experts view gold as the ultimate inflation hedge, forged in fire and tested over centuries. They see Bitcoin as its digital counterpart, scarce by code and limitless in reach. Gold’s weight grounds us in reality while Bitcoin’s light expands our imagination. In 2025, as gold surpasses $4,346 and Bitcoin hovers near $105,000, the wise investor sees not rivals but reflections. Translation moment: Gold reminds us to protect what we have. Bitcoin reminds us to dream of what could be. Together, they balance caution and courage, the two forces every generation must master. One whispers of legacy, the other of evolution, yet together they tell humanity’s oldest story, our unending quest to preserve value against time and to chase the light that never fades. 🙏 I ask (Allah) for guidance and success. 🤲
อินดิเคเตอร์ Pine Script®
โดย HamadaMark
9
Aggregated Long Short Ratio (Binance + Bybit)This indicator displays the Long/Short Ratio (LSR) from Binance and Bybit exchanges, plus an aggregated average. LSR shows the ratio between traders holding long positions vs short positions. Settings AvailableExchanges Group: ☑️Show Binance - Display Binance LSR line ☑️ Show Bybit - Display Bybit LSR line ☑️ Show Aggregated LSR - Display combined average Timeframe - Choose data timeframe (leave empty for chart timeframe) Visualization Group: 🎨 Binance Color - Default: Yellow 🎨 Bybit Color - Default: Orange 🎨 Aggregated Color - Default: White 📖 How to Read the Indicator ⚠️ CRITICAL: Always analyze LSR together with Open Interest (OI) Key Levels: LSR = 1.0 (gray dashed line) = Balance - Equal longs and shorts LSR > 1.0 = More longs than shorts (bullish sentiment) LSR < 1.0 = More shorts than longs (bearish sentiment) Extreme Zones: LSR > 1.5 (green zone) = Very bullish - Possible market top LSR < 0.5 (red zone) = Very bearish - Possible market bottom Why Open Interest Matters: LSR alone doesn't tell the full story. You MUST check Open Interest: Rising OI + High LSR (>1.5) = New longs opening → Strong momentum OR potential trap Rising OI + Low LSR (<0.5) = New shorts opening → Strong momentum OR potential trap Falling OI + Extreme LSR = Positions closing → Weak signal, avoid trading Stable OI + Extreme LSR = No new positions → Less reliable signal 💡 Trading Interpretation ⚠️ ALWAYS combine LSR with Open Interest analysis! Contrarian Strategy (High Leverage Zones): High LSR (>1.5) + Rising OI → Many new longs → Potential short squeeze OR reversal down Low LSR (<0.5) + Rising OI → Many new shorts → Potential long squeeze OR reversal up Trend Confirmation: Rising LSR + Rising price + Rising OI = Strong bullish trend with new positions Falling LSR + Falling price + Rising OI = Strong bearish trend with new positions Weak Signals (Avoid): Extreme LSR + Falling OI = Positions closing → Low conviction Extreme LSR + Stable OI = No new money → Wait for confirmation Divergences: Price higher highs but LSR falling + Rising OI = Bearish divergence (shorts accumulating) Price lower lows but LSR rising + Rising OI = Bullish divergence (longs accumulating) Best Setups: Reversal: Extreme LSR (>1.5 or <0.5) + Rising OI + Price rejection Trend: LSR trending with price + Steadily rising OI Caution: Extreme LSR + Falling OI = Ignore signal Built-in Alerts The indicator includes 4 preset alerts: LSR Crossed Above 1.0 - Market turned bullish LSR Crossed Below 1.0 - Market turned bearish LSR Very High - Above 1.5 (possible top) LSR Very Low - Below 0.5 (possible bottom) To Set Up Alerts: Click the "..." on the indicator Select "Add Alert" Choose the condition you want Configure notification method Best Practices MANDATORY: Always add Open Interest indicator to your chart alongside LSR To add OI: Click Indicators → Search "Open Interest" → Add official TradingView OI Use on perpetual futures charts (symbols ending in .P) Works best on USDT pairs (BTCUSDT, ETHUSDT, etc.) Combine LSR + OI + price action + support/resistance levels Higher timeframes (4h, 1D) give more reliable signals Don't trade LSR extremes without confirming OI direction Golden Rule: Rising OI = Strong signal | Falling OI = Weak signal ⚠️ Important Notes Indicator requires TradingView Premium or above (uses Request library) Only works on crypto perpetual futures Data availability depends on exchange API NA values mean data is not available for that exchange/symbol Never use LSR without Open Interest context
อินดิเคเตอร์ Pine Script®
โดย carlosbucci
Open Interest + Continuation/Discontinuation Patterns📈 Open Interest + Continuation/Discontinuation Patterns This indicator analyzes Open Interest data to detect four key convergence/divergence patterns that signal potential trend continuation or reversal: Buyer Continuation Seller Continuation Buyer Discontinuation Seller Discontinuation Each pattern is identified by comparing price action with Open Interest behavior, using pivot-based logic and ATR filtering for precision. When a valid pattern is detected, the indicator draws visual lines on the chart and triggers custom alert conditions for each type, enabling timely decision-making. The Open Interest data is plotted as a candle-style oscillator, offering a clear view of momentum shifts. The detection logic is fully configurable, allowing users to adjust pivot sensitivity, lookback ranges, and ATR filters to suit different market conditions. Key features: 🔍 Detects continuation and discontinuation patterns via convergence/divergence logic 🔔 Alerts for all four pattern types 🕯️ Candle-style visualization of Open Interest ⚙️ ATR-based filtering and pivot customization Perfect for traders seeking to enhance their market timing using Open Interest dynamics and divergence-based signals.
อินดิเคเตอร์ Pine Script®
โดย victhoreb
Delta Volume ReversalThis script displays Delta Volume-based reversal arrows by analyzing buying vs. selling volume from a lower timeframe. An up arrow appears when a red candle closes with dominant buying volume (bullish delta), while a down arrow appears on green candles with dominant selling volume (bearish delta). This highlights potential hidden strength or weakness in price action. Credits: Original from Delta Volume by SiddWolf — adapted and enhanced with reversal arrow visualization.
อินดิเคเตอร์ Pine Script®
โดย wendachye
Gold Market Cap vs BTC Market Cap Ratio What the script calculates Gold market cap: XAUUSD spot price × total above-ground stock (converted to troy ounces) in trillions USD.​ BTC market cap: Live data from TradingView's CRYPTOCAP:BTC symbol, which provides Bitcoin's circulating market cap (already in USD, converted to trillions here).​ Ratio: Gold market cap ÷ BTC market cap (e.g., 1.0 means gold market cap equals BTC; 2.0 means gold is twice BTC's market cap)
อินดิเคเตอร์ Pine Script®
โดย imiksha
Risk ModuleThis indicator provides a visual reference for position sizing and approximate stop and target placement. It supports trade planning by calculating equalized risk per trade and maintaining consistent exposure across different markets. For more information about the concept, see the post Position Sizing and Risk Management . Fixed Fractional Risk The indicator calculates the number of shares that can be traded to maintain consistent monetary risk. The formula is based on the distance between the current price and stop reference, adjusting position size proportionally. A closer stop results in a larger position size, while a wider stop results in a smaller one. Position Size = (Account Size × Risk %) ÷ (Entry Price – Stop Price) Stop and Target Stop placement is derived from volatility using the Average True Range (ATR). The target is plotted as a multiple of the stop distance, defining the risk-to-reward relationship in R units. Stop = Price ± ATR × Multiplier Target = Price ± (R × Risk Distance) Chart Elements The stop and target levels are plotted above and below the current price, with the stop marked by a red dot and the target by a green dot. The information table displayed on the chart shows the number of shares to trade, stop level, and target level. Setup and Configuration This configuration only needs to be set once, but can be adjusted later if preferred. 1. Start by setting the account size and risk percentage per trade to define the monetary amount risked on each trade. These values form the basis for position size calculation. 2. Set the ATR multiplier to determine stop distance, common values range between 1 and 3 ATR. Lower values place stops closer to price, increasing sensitivity but risking short-term noise. Higher values widen the stop, which reduces noise impact but extends time in risk. 3. Set the R-multiple to determine target distance relative to the stop. A value of 1 represents a 1:1 risk-to-reward relationship. Lower values reduce potential reward but tend to increase win rate, whereas higher values increase potential reward but tend to reduce win rate. The selection depends on system characteristics and trade expectancy. When the parameters are defined, the indicator displays the stop, target, and calculated position size on the chart. All that remains is to enter the trade with the number of shares shown in the table and place bracket orders at the plotted stop and target levels. Settings Overview Account Size / Risk %: Defines account capital and per-trade exposure. ATR Multiplier: Adjusts stop distance relative to volatility. R Multiple: Sets target distance relative to stop (risk-reward ratio). Position: Choose Long or Short direction. Table Position: Controls information table placement and scale.
อินดิเคเตอร์ Pine Script®
โดย StockLeave
ATR StopThe Stoploss based on ATR indicator sets dynamic stop levels using market volatility measured by the Average True Range (ATR). When volatility increases, the stop widens; when it decreases, the stop tightens. Upper line = High + ATR × Multiplier → stop for shorts Lower line = Low - ATR × Multiplier → stop for longs Use - Volatility-based stoploss: adjusts automatically to market conditions. - Trailing stop: moves in the direction of the trend.
อินดิเคเตอร์ Pine Script®
โดย Mackie_FX
Timebender - Fractal CloseTimebender – Fractal Close displays which higher-timeframe candles (Daily, Weekly, Monthly) are scheduled to close within the next 24 hours — helping traders anticipate potential volatility and liquidity shifts around key session or higher-TF closes. It automatically scans: • Daily: 1D → 11D • Weekly: 1W → 3W • Monthly: 1M → 12M The detected timeframes are shown in a compact on-chart table that can be positioned anywhere (top, middle, bottom — left, center, or right). You can also customize text color, background, and font size for visual clarity. Use it to align intraday setups with higher-timeframe structure, or to prepare for major session transitions as multiple fractal closes converge.
อินดิเคเตอร์ Pine Script®
โดย bon_appetrade
Algo BOT 4.0 updated Strategy Description: Algo BOT 4.0 updated is a sophisticated multi-timeframe trading strategy that identifies high-probability reversal points using technical confluence. The strategy combines: Core Components: Multi-timeframe Pivot Analysis: Daily, Weekly, and Monthly pivot points with CPR (Central Pivot Range) RSI Momentum Filter: Higher timeframe RSI (user-configurable) for trend bias VWAP Dynamics: Volume-weighted average price with moving averages Fibonacci Strength Analysis: Candle close positions relative to 38.2% Fib levels Advanced Cooldown System: Prevents overtrading with dynamic gap requirements Entry Logic: Long Entries: RSI < 57 with bullish candle structure at key support levels Short Entries: RSI > 43 with bearish candle structure at key resistance levels Zone-based Filtering: Identifies trades near significant pivot points (D PP, D R1, D S1, W PP, M PP, VWAP) Risk Management: Dynamic cooldown periods between trades Gap-based entry optimization to ensure sufficient price movement Extreme price tracking for better entry timing Multi-condition validation to reduce false signals Alert System: Real-time alerts for both long and short entries Includes price, RSI value, and zone information Visual signals with triangle markers on chart Comprehensive status monitoring with cooldown timer
อินดิเคเตอร์ Pine Script®
โดย Sudip09m
D Money – EMA/TEMA Touch Strategy (Distance) What it’s trying to capture You want mean-reversion “tags” back to a moving average after price has stretched away and momentum flips: Bearish setup (short): price has been above EMA(9) for a few bars, then MACD turns bearish, and price is far enough above the EMA (by an adaptive threshold). Exit when price tags the EMA. Bullish setup (long): price has been below your chosen TEMA rail (actually an EMA of 50/100/200 you pick) for a few bars, then MACD turns bullish, and price is far enough below that TEMA. Exit when price tags that TEMA. The moving averages it uses EMA(9) — your fast “tag” for short take-profits. “TEMA line” input = one of EMA(50) / EMA(100) / EMA(200). (Labelled “Chosen TEMA” in the plot; it’s an EMA rail you pick.) When it will enter trades It requires four things per side: Short (EMA-Touch Short) MACD bearish cross on the signal bar If “Require NO MA touch on cross bar” = true, the bar’s low must be above EMA(9), so it didn’t touch EMA on the cross bar (fake-out guard). Extension/Context: you’ve had at least barsAbove consecutive closes above EMA(9) (default 3), so it’s truly stretched. Distance test: absolute % distance from price to EMA(9) must be ≥ minDistEMA_eff (an adaptive threshold; details below). Bounce filter: there was no bullish bounce off the EMA in the last bounceLookback bars (excluding the current one). If all pass and you’re inside the backtest window → strategy.entry short. Long (TEMA-Touch Long) MACD bullish cross on the signal bar With the same fake-out guard: the bar’s high must be below the chosen TEMA if the guard is on. Extension/Context: at least barsAbove consecutive closes below the chosen TEMA. Distance test: absolute % distance from price to TEMA must be ≥ minDistTEMA_eff (adaptive). Bounce filter: there was no bearish bounce off the TEMA in the last bounceLookback bars. If all pass and you’re in the window → strategy.entry long. MACD timing option: If Pure MACD Timing = ON, it only checks for the cross. If OFF (default), it also enforces “no touch on the cross bar” if that checkbox is true. That’s your “fake-out” filter. The adaptive distance threshold (the “secret sauce”) You can choose how “far enough away” is determined—per side: Fixed % Short uses Fixed: Min distance ABOVE EMA (%) Long uses Fixed: Min distance BELOW TEMA (%) Auto (ATR%) (default) Short threshold = max(floorEMA, kAtrShort × ATR%) Long threshold = max(floorTEMA, kAtrLong × ATR%) This scales distance by recent volatility, with a floor. Auto (AvgDist%) Short threshold = max(floorEMA, kAvgShort × average(|Dist to EMA|) over avgLen) Long threshold = max(floorTEMA, kAvgLong × average(|Dist to TEMA|) over avgLen) This adapts to the instrument’s typical stretch away from the rails. These become minDistEMA_eff and minDistTEMA_eff and are re-computed each bar. Fake-out / bounce logic (the “don’t get tricked” part) A touch means the bar’s high/low overlapped the MA ± a small buffer % (touchBufPct). A bounce is a touch plus a close on the “wrong” side (e.g., touch EMA and close above it on shorts = bullish bounce). The script blocks entries if a bounce happened within bounceLookback bars (excluding the current signal bar). Exits & risk Take profit: when price touches the target MA: Short TP = touch EMA(9) Long TP = touch chosen TEMA Stop loss: either ATR stop: entry ± (atrMultStop × ATR) (default ON), or Percent stop: entry × (1±stopPct%) Time stop: if timeExitBars > 0, close after that many bars if still open. Quality-of-life features Backtest window (btFrom, btTo) so you can limit evaluation. Labels on signal bars that show: MACD bucket (Small/Moderate/HUGE/Violent — based on % separation on the bar), the current absolute distance to the target MA, and the effective minimum the engine used (plus which engine mode). Data Window fields so you can audit: abs distance to EMA/TEMA, the effective min distance used on each side, ATR%, average absolute distances (for the AvgDist mode). Alerts fire when a short/long signal is confirmed. Optional debug panel to see the exact booleans & thresholds the bar had. Quick mental model Are we properly stretched away from the rail (by an adaptive threshold) and held on that side for a few bars? Did MACD flip the way we want without price already tagging the rail that bar? Have we avoided recent bounces off that rail (no fake-out)? → If yes, enter and aim for a tag back to the rail, with ATR/% stop and optional time stop. If you want, I can add a simple on-chart “rating” (0–100) similar to your Python scorer (distance beyond min, MACD bucket, extension streak) so you can visually rank signals in TradingView too.
กลยุทธ์ Pine Script®
โดย dareolowoniyi
Timebender - 90 Minute KillzonesTimebender – 90 Minute Killzones This indicator divides each trading day into sixteen 90-minute blocks based on New York Time. Each zone is color-coded by session: 🔴 Asian  🟢 London  🔵 New York AM  🟣 New York PM It helps visualize recurring intraday rhythms and session overlaps without adding signals or bias. Includes an optional Daily Close Line (18:00 NYT) to mark the end of the trading day, now zoom-safe and toggleable. Built for structure, clarity, and visual balance — nothing more, nothing less.
อินดิเคเตอร์ Pine Script®
โดย bon_appetrade
Real Relative Strength Breakout & BreakdownReal Relative Strength Breakout & Breakdown Indicator What It Does Identifies high-probability trading setups by combining: Technical Breakouts/Breakdowns - Price breaking support/resistance zones Real Relative Strength (RRS) - Volatility-adjusted performance vs benchmark (SPY) Key Insight: The strongest signals occur when price action contradicts market direction—breakouts during market weakness or breakdowns during market strength show exceptional buying/selling pressure. Real Relative Strength (RRS) Calculation RRS measures outperformance/underperformance on a volatility-adjusted basis: Power Index = (Benchmark Price Move) / (Benchmark ATR) RRS = (Stock Price Move - Power Index × Stock ATR) / Stock ATR RRS (smoothed) = 3-period SMA of RRS Interpretation: RRS > 0 = Relative Strength (outperforming) RRS < 0 = Relative Weakness (underperforming) Signal Types 🟢 Large Green Triangle (Premium Long) Condition: Breakout + RRS > 0 Meaning: Stock breaking resistance WHILE outperforming benchmark Best when: Market is weak but stock breaks out anyway = exceptional strength Use: High-conviction long entries 🔵 Small Blue Triangle (Standard Breakout) Condition: Breakout + RRS ≤ 0 Meaning: Breaking resistance but underperforming benchmark Typical: "Rising tide lifts all boats" scenario during market rally Use: Lower conviction—may just be following market 🟠 Large Orange Triangle (Premium Short) Condition: Breakdown + RRS < 0 Meaning: Stock breaking support WHILE underperforming benchmark Best when: Market is strong but stock breaks down anyway = severe weakness Use: High-conviction short entries 🔴 Small Red Triangle (Standard Breakdown) Condition: Breakdown + RRS ≥ 0 Meaning: Breaking support but outperforming benchmark Typical: Stock falling less than market during selloff Use: Lower conviction—may recover when market does Why Large Triangles Matter Large signals show divergence = genuine institutional flow: Stock breaking out while market falls → Aggressive buying despite headwinds Stock breaking down while market rallies → Aggressive selling despite tailwinds These setups reveal where real conviction lies, not just momentum-following behavior. Quick Settings RRS: 12-period lookback, 3-bar smoothing, vs SPY Breakouts: 5-period pivots, 200-bar lookback, 3% zone width, 2 minimum tests
อินดิเคเตอร์ Pine Script®
โดย william2003wakeford
AutoBiasProAuto Bias Indicator – Description The Auto Bias Indicator is a custom technical analysis tool designed to automatically detect and display market bias based on multi-timeframe price action, liquidity, and session-based behavior. Its primary purpose is to help traders quickly identify whether the market is leaning toward bullish or bearish conditions, while providing additional confluence factors to support decision-making. Core Functions Automatic Bias Detection Evaluates higher-timeframe (HTF) and lower-timeframe (LTF) structures. Detects sweeps of liquidity (SSL/BSL), displacement, and continuation or reversal signals. Highlights whether the current bias is aligned with bullish or bearish order flow. Session & Killzone Integration Works in conjunction with session boxes (Asia, London, New York). Displays bias changes within active trading windows to capture intraday setups. Liquidity & Expansion Logic Identifies recent sweeps of highs/lows to show potential market intent. Tracks expansion moves after consolidation, signaling momentum shifts. Dashboard/Visual Output Presents a bias table or dashboard summarizing HTF vs. LTF direction, risk-reward opportunities, and session status. Color-coded visuals (e.g., green for bullish, red for bearish) make it easy to interpret at a glance. Confluence with ICT-style Concepts Incorporates Fair Value Gaps (FVG), Consolidation–Impulse–Shift–Displacement (CISD), and sweep history. Designed to match modern liquidity-based trading frameworks. Benefits Objectivity: Removes guesswork by automating bias detection. Multi-Timeframe Awareness: Keeps traders aligned with higher-timeframe structure while tracking intraday entries. Risk Discipline: Pairs naturally with risk management modules, ensuring setups align with pre-defined rules. Efficiency: Quickly highlights whether conditions favor longs or shorts without manual chart marking.
อินดิเคเตอร์ Pine Script®
โดย groupyphantom
Gann Dynamic Levels [SmartFoxy]# 🌌 Gann Dynamic Levels Gann Dynamic Levels is a dynamic Gann-based framework that calculates proportional and exponential levels using customizable methods — including planetary ratios. Perfect for traders focused on cycles , ratios , and harmonic structures . Inspired by the geometric and harmonic principles of W.D. Gann , this multifunctional tool automatically plots time–price projection levels based on user-defined anchor points. It combines multiple calculation techniques to capture both linear and exponentia l market symmetries. The indicator adapts dynamically to price movement, helping traders identify potential reversal zones , time clusters , and harmonic expansions derived from proportional and planetary relationships. --- ## ⚙️ Core Features Five Calculation Methods — Linear, ratio-based, geometric, and exponential spacing for multi-perspective analysis. Planetary Scaling Mode — Optional mode based on astronomical distances (Titius–Bode Law), adding an astronomical dimension to level spacing. Adaptive Offset Control — Shifts all projected levels left or right proportionally without changing their internal spacing. Automatic Label Management — Dynamically updates or reuses labels for better clarity and improved chart performance. Custom Styling — Full control over colors, widths, label positions, and line styles for each method. --- ## 🌐 Purpose Designed for traders who combine Gann theory , harmonic ratios , and cyclical timing to visualize equilibrium zones and future market symmetry. Whether used for short-term timing or long-term structural projections, Gann Dynamic Levels provides an adaptive, geometry-based framework for interpreting market behavior. --- ## 📘 How to Use When first applied, the indicator prompts you to place two points on the chart — for example, at the start and end of a significant price range. The indicator calculates the number of bars between these two points, known as Delta . Delta serves as the base unit for all calculations in Methods #1–#5 . The computed results are displayed in Table 1 , which can be toggled using the parameter “📱 Show Gann Levels Table”. You can reset or reposition the initial points in two ways: Drag the existing points to new positions on the chart. Hover over the indicator name, click ⦁⦁⦁ (More) → select “ Reset Points ”, then set new reference points. --- ## ⚙️ Method Logic Classic – Evenly spaced levels based on the base Delta value. Ideal for identifying key support and resistance zones. Coefficient (Coeff) – Scales Delta by fractional or whole-number coefficients for proportional level spacing. Rounded – Rounds each calculated level to the nearest significant price value to align with major zones. Subtractive – Generates levels by subtracting multiples of Delta from a reference point, emphasizing retracement-type structures. Exponential – Applies an exponential growth model (10a = 4 + 3×2ⁿ) to project dynamic, non-linear level expansion. Planetary – Uses the average distances of planets from the Sun (in Astronomical Units, AU ) as ratio multipliers to create harmonic projections. Planetary distances can be customized in the user settings. Data for Method #6 (Planetary) is displayed in Table 2 , toggled via “ 🪐 Show Planetary Table. ” --- ## ➡️ Additional Feature Offset – Shifts all Gann levels horizontally (left or right) without changing their spacing. Useful for visually aligning levels with key market structures. --- ### 🧭 Summary A multi-method Gann framework combining geometric, harmonic, and planetary ratios for dynamic level projection and cycle analysis.
อินดิเคเตอร์ Pine Script®
โดย nreact25