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Kent Directional Filter🧭 Kent Directional Filter Author: GabrielAmadeusLau Type: Filter 📖 What It Is The Kent Directional Filter is a directionality-sensitive smoothing tool inspired by the Kent distribution, a probability model used to describe directional and elliptical shapes on a sphere. In this context, it's repurposed for analyzing the angular trajectory of price movements and smoothing them for actionable insights. It’s ideal for: Detecting directional bias with probabilistic weighting Enhancing momentum or trend-following systems Filtering non-linear price action 🔬 How It Works Price Angle Estimation: Computes a rough angular shift in price using atan(src - src ) to estimate direction. Kent Distribution Weighting: κ (kappa) controls concentration strength (how sharply it prefers a direction). β (beta) controls ellipticity (bias toward curved vs. linear moves). These parameters influence how strongly the indicator favors movements at ~45° angles, simulating a directional “lens.” Smoothing: A Simple Moving Average (SMA) is applied over the raw directional probabilities to reduce noise and highlight the underlying trend signal. ⚙️ Inputs Source: Price series used for angle calculation (default: close) Smoothing Length: Window size for the moving average Pi Divisor: Pi / 4 would be 45 degrees, you can change the 4 to 3, 2, etc. Kappa (κ): Controls how focused the directionality is (higher = sharper filter) Beta (β): Adds curvature sensitivity; higher values accentuate asymmetrical moves 🧠 Tips for Best Results Use κ = 1–2 for moderate directional filtering, and β = 0.3–0.7 for smooth elliptical bias. Combine with volume-based indicators to confirm breakout strength. Works best in higher timeframes (1h–1D) to capture macro directional structure. I might revisit this.
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GabrielAmadeusLau tarafından
Squeeze Momentum Indicator With EMAThis is a upgraded verison of the most popular Squeeze Momentum Indicator with highlighted lines on the chart to better show entry and exits. Also includes arrows for easy visibility. Can also set up ALERTS easily and you can change the color of the momentum highlighted areas to your preference. HOW TO USE : ***ENTER/EXIT WHEN*** 1.Ema 56 / 112 / 672 lines up 2.WHEN CROSSOVER ABOVE = Highlighted green with arrows means bullish entry or bearish exit. 3.WHEN CROSSOVER DOWN = Highlighted red with arows means bearish entry or bullish exit. 4.Exit when black areas occur ***AVOID TRADING WHEN*** 1.Arrows within black areas (Non momentum areas or non-squeeze areas) 2.Arrows not following trend(Down arrow during an upwards EMA trend) **Caution** You can decide to hold onto a position if you'd like durin the trend, but look at price action before exiting.
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bforbae46 tarafından
Cartelscope | Alchemical IntelSUMMARY This unique tool looks beneath the surface of price, at a range of fundamental core catalyst metrics that tend to lead & influence price -- the price of most high cap crypto assets, most of the time. Cartelcope offers a range of fundamental visualizations out-of-the-box, derived from first principles crypto metrics. Like Stablecoin Supply, Coinbase Premium & Tether Dominance, as well as custom metrics that measure whale activity and macro sentiment. Stack them vertically into a dashboard, for a top down view of some of the most relevant leading indicators. All normalized to each other. TRADE SIGNALS Cartelscope generates long & short signals, utilizing cumulative volume thresholds & horizontal oscillator thresholds. Signals are designed for use with most (but certainly not all) high cap crypto assets. See the list of recommended assets at the end of these docs. Most Cartelscope signals will make good trade entries (or exits), but no signals are perfect, and Cartelscope will never have a 100% hit rate. ALERTS ENABLED Cartelscope alerts are enabled out-of-the-box. With JSON automation available to Premium users. SIGNAL CONFLUENCE A confluence of signals from multiple metrics is a high probability trade setup. Consider stacking & minimizing your leading indicators, for the clearest view of all signals. Cartelscope's first two settings are important: SCOPE & LENS. SCOPE is your data source: What's being visualized. LENS is your zoom: Cumulative (zoomed out) for better long & short signals. Realtime (zoomed in) for more precision data. CUMULATIVE & REALTIME SIGNALS Cumulative signals should be expected to out-perform realtime signals. They're higher timeframe, and higher conviction. Realtime signals are shorter term. Their main use case is day to day momentum scalps, in the direction of HTF trend, with conservative targets. Their other use case is market visualization, in a dashboard. Your focus should probably skew cumulative, but there's room for both. SCOPES AT A GLANCE The scopes tooltip is a helpful quickview of each use case -- expanded upon in much greater depth throughout the rest of these docs. EXPLORING EACH SCOPE, AND THEIR USE CASES: SMART EXCHANGE VOLUME Volume & open interest from exchanges dominated by whales and smart money. Divided by the opposite -- volume from 'dumb money' exchanges. Kim Chi Premium was made for that. No disrespect to our Korean friends. Setting LENS set to cumulative reveals picture perfect buy signals, at every local low for the last 3 years. Setting LENS to realtime offers shorter term trade signals. The stronger the indicator print, the higher (or lower) it goes on its Y axis -- the stronger you should consider the signal. FIAT LIQUIDITY RATIO USDT / USD, a proxy for Tether entering (or exiting) centralized exchanges. Expect price to follow Tether closely, in either direction. COINBASE PREMIUM Coinbase spot BTC premium (or discount) / BTCUSD Index Frequent cumulative & realtime signals, for shorter term swing entries. STABLECOIN SUPPLY USDT + USDC market cap Unlike Fiat Liquidity Ratio, which visualizes stablecoin inflow momentum, this metric measures market cap -- raw purchasing power across the marketplace. Which tends to reliably lead price. In cumulative mode, signals are good, but we're less interested in them. For Stablecoin Supply, we're interested in oscillator momentum. Which reliably tends to lead price -- by days, sometimes by weeks. In realtime mode, outsized changes to stablecoin supply tend to resolve in the direction of the change, later that same day or the next day. BITFINEX BTC MARGIN LONGS / MARGIN SHORTS Some call it Tether's 'man behind the curtain'. The ratio of BTC margin longs to shorts on Bitfinex plays an outsized role in day-to-day price action. This metric paradoxically counter-trades the broader market in realtime mode, while revealing true market direction in cumulative mode. The cumulative higher timeframe view: In Realtime, on lower timeframes: ESCOBAR EXPRESS Cartelscope's most lethal weapon & highest hit rate scope. Escobar signals are highly directionally accurate, within a 24-48 hour window. Cumulative signals should be considered dated after 48 hours. Realtime signals are usually excellent. TETHER DOMINANCE USDT.D Cumulative USDT.D generates extraordinary buy signals at key swing low pivots, like smart exchange volume. Realtime USDT.D tends to generate well-timed lower timeframe long & short signals. MACRO CREDIT SPREADS This global macro metric generates some of our most reliable swing entries, in cumulative mode. SIGNAL STRENGTH HOW TO NAVIGATE MIXED SIGNALS RECOMMENDED ASSETS The author has tested all of the above signals on the following list of high cap crypto assets. Signals generally perform well on each of these assets. Other assets may or may not perform as well with these signals. The lower the token's FDV, the less you should expect these signals to perform. TIMEFRAMES FOR USE For HTF big picture, use the 4H, 8H or 12H. To zoom in for day to day use, use the 1H or 15M. SPREAD SYMBOL TRADEOFFS Spread symbols in tradingview have limited history. Which means less backtesting data than we prefer. Most of our metrics print 2 years of history. Some print more. Also, our scopes are 'pinned' to a timeframe -- so you see the same print, no matter what timeframe you like to use. That's a good thing. But it has the same tradeoffs -- limited history, less backtesting data.
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AlchemicalIntel tarafından
REIT Dashboard🏢 REIT Dashboard – Fundamental Snapshot for REITs This script displays a clear and compact dashboard with key fundamental indicators for REITs (Real Estate Investment Trusts). It pulls financial data from quarterly (FQ), yearly (FY), and trailing twelve months (TTM) reports. 📊 Displayed Metrics: Dividend Yield (TTM) – manually calculated using the sum of the last 4 quarterly dividends, Payout Ratio (TTM) – percentage of earnings paid out as dividends, Debt to Equity (FY) – financial leverage ratio, Debt to EBITDA (FY) – debt in relation to operating earnings, Interest Coverage (FY) – ability to cover interest payments, Revenue Growth YoY (TTM) – revenue growth compared to the same period last year, ROA / ROE (FY) – return on assets / equity, P/FFO (Price to Funds From Operations) – REIT-specific valuation metric. 🎨 Features: Automatically fetches data via request.financial() Values shown as percentages or raw numbers Clear layout with color-coded labels Displayed as an overlay on the main chart 🧠 Who is it for? Fundamental investors focused on REITs who want a quick summary of a company’s financial health directly on the chart. ⚠️ Note: Some numbers (e.g. Dividend Yield) may differ slightly from default TradingView panels, as this script calculates them manually from reported quarterly dividends for better accuracy.
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peacefulGuest74512 tarafından
SignalX PRO📈 SignalX PRO — The Ultimate Indicator for Every Market, Every Timeframe, Every Strategy ✅ What is it? SignalX PRO is a high-precision visual-technical analysis tool designed for TradingView, created for traders seeking clarity, reliability, and full control over every trade — regardless of the market or timeframe. 🔍 Key Features: 🔹 LONG/SHORT Trading Signals Automatically identifies the best entry and exit points, following market structure and trend direction. 🔹 SUPPLY & DEMAND Zones Highlights areas where institutional liquidity is concentrated. These are not just levels — they are true market turning points. 🔹 Compatible with all asset classes: 🪙 Cryptocurrencies: BTC, ETH, SOL, DOGE, and all altcoins 💹 Forex: EUR/USD, GBP/JPY, USD/CAD 📈 Stocks: Tesla, Apple, Amazon 🧱 Indices, commodities, futures: S&P 500, Nasdaq, gold, oil 🔹 Perfect for every timeframe: ⏱ Scalping: 1m, 5m, 15m ⏰ Intraday: 30m, 1H, 4H 📅 Swing & investing: 1D, 1W 🧠 Operational Strategy: Choose your asset and preferred timeframe. Wait for a BUY or SELL signal in a SUPPLY or DEMAND zone. Check the trend direction (the indicator does this for you). Enter on the impulsive move. Take profit in the opposite zones or based on your Risk/Reward. Always protect your capital with a smart stop-loss or breakeven. 🔐 Real Benefits for Serious Traders: 🧭 Adaptable to any trading style: scalping, intraday, swing 🔔 Supports alerts — receive signals directly on your phone 📲 Compatible with smartphones and tablets — trade from anywhere 🎯 Filters market noise, removes uncertainty 📉 Elegant and professional visual design 🚀 Why is SignalX PRO different? Because it’s not just an indicator — it’s a smart companion that reads the market in real-time, identifies key levels, and guides you through the most critical phases of your trades. Whether you're in a professional trading room or trading from your smartphone by the sea, SignalX PRO is with you. 💬 What traders are saying: “Finally, an indicator that shows where the real money is in the market.” — Marco, BTC scalper “SignalX PRO transformed my trading from reactive to strategic.” — Lorenzo, multi-asset trader ⚡️ The future of trading is here. Your competitive edge is called SignalX PRO. It doesn’t matter what you trade, when you trade, or where you are. Only one thing matters: the quality of your decisions. And with SignalX PRO, they will always match the pace of the market.
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SignalXPRO tarafından
Quantized Market Profile (TPO)Quantized Market Profile (QMP) Advanced TPO-based price distribution built for structural auction clarity. Fully customisable. Built from pure AMT logic. 📊 Core Concept Quantized Market Profile (QMP) builds out classic TPO structures with modern flexibility. Each row represents a quantized price level (TPO row) derived from auto or manual tick sizing. Profiles develop across timeframes or fixed sessions, showing value development, distribution shape, and key auction levels. Unlike TradingView’s built-in TPO/MP tools, QMP supports profiles as small as M5 all the way up to Monthly+ , giving you full control over auction resolution. This tool captures and renders: • Profile shapes • POC • Value Area • Single Prints • Session open/close • Initial Balance • Midpoint extensions • Split or Unsplit profiles ⚙️ How It Works Tick Quantization:  • Auto: Calculates row size from recent high-low range across N bars  • Manual: Fixed row size via user input TPO Rendering:  • Choose letters, squares, or circles to show price visits per row  • Split mode : Each subperiod (e.g. 30m) is shown as a distinct column  • Unsplit mode : TPOs are stacked into a single distribution  • Toggle open/close markers and initial balance display Session Logic:  • Use Intraday (e.g. 30m, 90m), Sessions, Daily, Weekly, Monthly, or Fixed ranges  • Supports custom session times and timezones  • Minimum profile window: 5 minutes  • Maximum: Unlimited POC & Value Area:  • POC = price level with highest TPO count  • Value Area expands around POC to cover the defined percentage  • Optional extensions project levels across the chart IB, Midpoint, and High/Low Extensions:  • Marks Initial Balance range  • Midpoint by High/Low or TPO-weighted median  • Dotted guide lines for session extremes 📈 Visual Output Each TPO rendered as a letter or symbol Profile may be split or stacked depending on context Open/Close markers and profile annotations supported Extensions for VAH, VAL, POC, IB, Midpoint, High/Low 🔧 Inputs Tick Size Mode: Auto or Manual Profile Timeframe: Intraday (minutes), Sessions, Days, Weeks, Months, Fixed Split Profile: Toggle between structured (split) and stacked (unsplit) views Session Time & Timezone: Supports any market type Rendering Options: Font, TPO character, size, open/close display Extensions: Enable/disable guides for key auction levels 🧠 Use Cases Monitor structural shifts in value Support responsive or initiative trade planning Compare session distribution shapes Use extended levels as trade triggers or zones Pair with histogram/bar tools to complete auction view Part of the Quantized AMT Suite: • Quantized Rotation Factor Bars • Quantized Rotation Factor Histogram • Quantized Market Profile Developed by: @luc_crypto License: Mozilla Public License 2.0
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luc_crypto tarafından
Quantized Rotation Factor BarsQuantized Rotation Factor Bars (QRF Bars) A pure Auction Market Theory overlay. Non-cumulative rotation displayed as directional bar structure. 📊 Core Concept QRF Bars use the Rotation Factor to track auction structure at the close of each subperiod (e.g. 30m, 1h). Each bar reflects whether the auction is expanding upward, downward, or coiling — based on quantized TPO logic. This is not a trend tool. It shows market effort in structural terms, period by period. ⚙️ How It Works Tick Quantization:  • Uses either a manual tick size or auto-calculated ticks-per-row  • Auto mode samples a defined number of bars (default: 300) to calculate typical TPO row size Subperiod Rotation Factor:  On each new bar, the current high and low are quantized. Then compared to the previous bar's values:  • +2 = Higher High and Higher Low  • +1 = Higher High only  • 0 = Inside / Equal Range  • –1 = Lower Low only  • –2 = Lower High and Lower Low Independent Logic:  Each bar evaluates structure in isolation. No accumulation or smoothing.  A true read on recent auction behaviour. 📈 Visual Output Custom Candles:  • Plotted directly on chart  • Body, wick, and border style vary depending on the rotation factor  • Strong moves show with vivid accents  • Neutral or zero-rotation bars display transparently Directional Encoding:  • Expansion up/down is immediately visible in bar structure  • Inside bars fade out, highlighting compression or transition Overlay Mode:  • Plots on price chart — integrates seamlessly with your existing strategy or structure 🔧 Inputs Manual Ticks per TPO Row: Optional fixed value. Use 0 to enable auto mode Auto Tick Sample Bars: Defines range for tick auto-calculation 🧠 Use Cases Monitor effort and structural direction Contextual bias for responsive/initiative trades Companion to TPO or Volume Profile tools Read auction strength or failure bar by bar Frame trade entries or exits based on auction shifts Developed by: @luc_crypto License: Mozilla Public License 2.0
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luc_crypto tarafından
Quantized Rotation Factor HistogramQuantized Rotation Factor Histogram (QRF Histogram) Auction Market Theory, quantized. Tracks cumulative rotation factor with precision and visual clarity. 📊 Core Concept This histogram tracks the cumulative Rotation Factor over each defined Auction Period (e.g. Daily, Weekly), using quantized high/low range movement to measure market effort. Each bar represents a structural push or pull in auction behaviour. Built to reveal whether value is being accepted or rejected within a session. ⚙️ How It Works Tick Quantization: Uses either:  • Manual input ticks  • Auto-calculated tick size based on recent range over a sample of bars (default: 300) Auction Periods: User-defined timeframe (default: D) resets the cumulative auctionFactor each period Subperiod Logic: At every new bar (subperiod), compares current quantized high/low to prior to calculate Rotation Factor :  • +2 = Higher High & Higher Low  • +1 = Higher High only  • 0 = Inside/Equal  • –1 = Lower Low only  • –2 = Lower High & Lower Low Cumulative Calculation: Adds each subperiod’s rotation value to build a running total for the Auction Period  Resets cleanly at start of each new auction frame 📈 Visual Output Histogram Columns:  • Plotted at the close of each subperiod  • Height = cumulative auctionFactor  • Colour reflects positive, negative, or neutral direction (fully configurable) Subperiod Labels:  • Alphabet characters (A–Z, a–z) show the bar index since the auction period start  • Helps align subperiod structure with other profile tools (e.g. TPO or bar-based splits) Auction Period Separator:  • Dotted vertical line marks start of each new auction period  • Helps contextualise histogram resets 🔧 Inputs Auction Period: Any higher timeframe (e.g. D, W, 4H) Manual Ticks per TPO Row: Optional override (0 = auto) Auto Tick Sample Bars: Controls how many bars to evaluate when using auto tick mode Plot Colours: Set colours for positive, negative, and zero values Label Size: Customisable subperiod letter display 🧠 Use Cases Intraday or swing auction bias detection Cumulative rotation context inside any TPO structure Effort analysis in initiative or responsive sequences Session strength/weakness tracking Pairs well with volume, delta, or TPO-based overlays Developed by: @luc_crypto License: Mozilla Public License 2.0
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luc_crypto tarafından
aiTrendview.com Technical AnalysisaiTrendview.com Technical Analysis – Study Material Overview : This tool is a multi layered TradingView indicator designed to help traders detect high probability trades by combining order block detection, trendline analysis, volume and ATR filters, and dynamic target projection. Below is a step by step guide with essential formulas to use it effectively. ________________________________________ Key Features and How to Use Them: • Order Block Detection: The script identifies zones where strong buying or selling occurred. • You define the number of consecutive candles (periods) to qualify an order block. • A valid move is detected if \text{Price Move %} = \frac{|Close_{n} - Close_{1}|}{Close_{n}} \times 100 \geq \text{Threshold} • Bullish Order Block: a down candle followed by a sequence of bullish candles. • Bearish Order Block: an up candle followed by a sequence of bearish candles. • Trendline Logic: It uses pivots to draw dynamic support and resistance. • Pivot high and low are calculated over a period (e.g., 10 bars). • Trendline slope is: Slope=Pivotnew−PivotoldTimenew−TimeoldSlope = \frac{Pivot_{new} - Pivot_{old}}{Time_{new} - Time_{old}} • Current resistance or support is extrapolated: Price=StartPrice+Slope×(CurrentTime−StartTime)Price = StartPrice + Slope \times (CurrentTime - StartTime) • Volume and ATR Filters: To avoid weak signals, the script checks for significant volume and volatility. • Average volume over 20 bars is: AvgVol=SMA(Volume,20)AvgVol = \text{SMA}(Volume, 20) A volume spike occurs if: Volume>AvgVol×VolumeThresholdVolume > AvgVol \times VolumeThreshold • ATR is calculated over 14 bars. The range filter checks: (High−Low)>ATR×ATRMultiplier(High - Low) > ATR \times ATRMultiplier • Signal Generation: • A bullish signal appears when a valid bullish order block or resistance breakout occurs, confirmed by filters and trend bias (EMA9 > EMA21 > EMA50). • A bearish signal appears under mirrored conditions with support breakdowns and trend confirmation (EMA9 < EMA21 < EMA50). • Target Projection: Once a signal is confirmed, the script projects target and stop loss levels using ATR: • For a long trade: TP=High+(ATR×2)TP = High + (ATR \times 2) SL=Low−(ATR×1)SL = Low - (ATR \times 1) • For a short trade: TP=Low−(ATR×2)TP = Low - (ATR \times 2) SL=High+(ATR×1)SL = High + (ATR \times 1) • Trade Management: When a trade is active, the indicator updates target and stop loss lines dynamically. If price reaches TP, it records a win; if price hits SL, it records a loss. Win rate is calculated as: WinRate=WinsSignals×100%WinRate = \frac{\text{Wins}}{\text{Signals}} \times 100\% • Practical Usage Steps: • Add the indicator to your chart and configure inputs to match your trading style. • Wait for a BUY or SELL label on the chart. • Confirm direction with trend (EMA alignment), momentum (RSI and MACD), and volume conditions. • Enter trade on the next candle after signal confirmation. • Set your stop loss and target based on the automatically plotted ATR projections. • Monitor price action and exit when targets are hit or trend conditions change. • Alerts: The script supports alerts for bullish or bearish signals, and for TP or SL hits, so you can automate notifications for active trade management. ________________________________________ Disclaimer : aiTrendview.com and this tool and the information provided are strictly for educational and research purposes only. They do not constitute financial advice or investment recommendations. Trading involves significant risk, and past performance is not indicative of future results. You are solely responsible for your trading decisions, including risk management, position sizing, and due diligence. Always test any strategy in a demo account before using real capital, and consult with a qualified financial advisor if needed. 📌
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mmkhan2076 tarafından
Valdes Trading Bots – 6H AutomationValdes Trading Bots – 6H Automation This strategy is designed for 6-hour charts and applies structured logic to identify potential long and short entries. It operates with fixed internal rules and does not rely on user-adjusted inputs for decision-making. Core Functionality: Uses volatility-based entry conditions to trigger directional trades Supports two entries per direction using pyramiding Applies layered take profit levels to scale out of positions Includes breakeven and trailing stop logic to reduce downside risk Configurable comments for long and short entries to support alert workflows Execution Notes: Non-repainting and non-optimized design No reliance on future data or external variables Intended for backtesting and alert integration on 6H timeframes Performance Characteristics: Backtesting over a wide range of assets shows: High win-rate behavior across multiple market types Strong trade frequency and positive risk-to-reward balance Consistent equity growth with defined drawdown limits This script is meant for educational and development purposes and should be tested thoroughly in simulated environments before applying to any live scenario.
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ValdesTradingBot tarafından
HTF TimeFrameAlignment - ROMEFX📊 HTF Timeframe Alignment — ROME A powerful multi-functional indicator designed for higher timeframe confluence and market structure clarity. 🔧 Key Features: HTF Candles Display Visualize higher timeframe (HTF) candles on lower timeframe charts, including optional Heikin Ashi smoothing. Supports both manual and automatic timeframe selection with alignment logic. Timeframe Alignment System Automatically aligns the HTF based on your current chart timeframe using a smart hierarchical structure (e.g., 15m → 4H, 1H → 1D). CISD Bias Logic Implements Change-In-Structure Detection (CISD) to identify potential bullish and bearish structure shifts, visualized via labeled levels (+CISD / -CISD) and supported by optional alerts. Bias can be set to: Neutral (detect both) Bullish (focus on bearish shifts) Bearish (focus on bullish shifts) Customizable Period Separators Add clean visual separators marking the start of new HTF candles to help with session awareness and structure boundaries. HTF Highs and Lows Tracks and updates high/low levels of each HTF candle, useful for identifying key support/resistance and structural turning points. Information Table A real-time info panel displaying: Current symbol Chart and HTF timeframes Selected bias Script status (Live vs Historical) Optional structure state summary (Bullish/Bearish) Optional Custom Open Time Define non-standard candle anchor times (e.g., institutional sessions), especially useful for aligning with Forex or crypto rollovers. 🖌️ Fully Customizable: Candlestick colors, styles, and sizes Line widths, label visibility, and projection overlays Table colors and positions Alerts for CISD level breaks Retention of old CISD levels if desired
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romeictfx tarafından
1
RSI First Condition SignalsBuy signal with the exit of RSI from the bottom to the top of the number 30. Sell signal with RSI exit from above 70 to below. The longer the RSI stays above the overbought zone, i.e above 70, and then breaks below 70, the stronger the sell signal. The longer the RSI stays below thw oversold zone, i.e. below 70, and then exits above 30,the stronger the buy signal. And if the RSI exits below the 70 line with a steeper slope, the sell signal is valid. And if the RSI exits with a steeper slope above 30, the buy signal is valid .
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imvkmahato tarafından
🇰🇷 Kim'in Kim'out — Korean Premium TrackerKim’in Kim’out is a premium-tracking TradingView indicator that reveals Korean market sentiment by comparing real-time asset prices on Upbit (KRW) and Binance (USDT). It detects when Korean traders are spot accumulating (Kim’in) or spot distributing (Kim’out) — enhanced by volume confirmation and trend context. Perfect for crypto scalpers, swing traders, and arbitrage hunters. ⚙️ How It Works Kimchi Premium: Measures how much more (or less) Koreans are paying on Upbit compared to Binance. Volume Confirmation: Filters signals by comparing Upbit volume vs its moving average. Signal Logic: 🔼 Kim’in: Premium exceeds the buy threshold + high volume 🔽 Kim’out: Premium drops below the sell threshold + high volume Trend Context: Premium trend line gives insight into sustained interest/disinterest. 🎛️ Settings Overview Input Description Select Cryptocurrency Choose from supported coins (BTC, ETH, SOL, etc.) Buy Threshold (%) How high the premium must be to trigger a Kim’in signal Sell Threshold (%) How low the premium must be to trigger a Kim’out signal Volume MA Period The number of candles for volume average Volume Multiplier Volume spike ratio needed to confirm a signal Show Info Table Toggle detailed premium stats in a side panel Show Premium Zones Visual background zones (green/red/yellow) Debug Mode Shows extra signals that trigger without volume confirmation ✅ How to Use It Add the indicator to any chart (e.g. BTC/USDT) Choose a coin from the dropdown (BTC, ETH, etc.) Watch for: Green Triangle Up (Kim’in) = Korean spot buy pressure confirmed Red Triangle Down (Kim’out) = Korean selloff or disinterest Use the Info Table (top-right) to see: Premium % Volume confirmation Real-time KRW-USD exchange rate Upbit vs Binance price comparison Set Alerts: Right-click on a signal → Add Alert on "Kim’in" or "Kim’out" Or use the prebuilt alertconditions 🔔 Alert Messages 🇰🇷 Korean Premium BUY signal detected → Kim’in 🇰🇷 Korean Premium SELL signal detected → Kim’out 🧪 Best Practices Use on 1H or 4H timeframe for best results Confirm with broader market structure or confluence tools Spot divergences between Binance and Upbit to predict regional flow shifts 🚫 Limitations Works only with coins that have both Binance USDT & Upbit KRW pairs Premium may be delayed by low liquidity or FX rate fluctuations (USDKRW) Not suitable for lowcaps not listed on Upbit Created by UKMC Crypto
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UKMC- tarafından
Multi ZigZag DR Advanced Elliott Wave - DR BASL📊 Multi ZigZag DR – Advanced Elliott Wave Detection by DR BASL 🧠 "ZigZag DR BASL - Elliott Wave" is a high-performance indicator designed to automatically detect Elliott Impulse Waves (0 → 1 → 2) using a multi-ZigZag approach with advanced ATR filtering. 🔍 Core Features: ✅ Detects impulse waves across 4 custom ZigZag lengths. ✅ Draws Entry, Stop Loss, and Take Profit (TP1–TP4) levels. ✅ Filters out market noise using ATR-based movement threshold. ✅ Fully customizable: colors, styles, wave structure, and display settings. ✅ Visual trend coloring (Bullish / Bearish) for directional clarity. ✅ Built-in alerts to notify when a new valid impulse wave is formed. ✅ Optional Pivot Statistics Table for wave validation and analysis. 🧠 Ideal For: Elliott Wave traders looking for precise and automated detection. Swing and structure-based traders using wave confluence. Traders who prefer multi-layered ZigZag logic for confidence. Users seeking visual clarity for entries, targets, and market context. 💡 Developed By: 📌 DR BASL – Designed with precision and flexibility in mind, coded in Pine Script v5, with modular logic and optimization for large-scale structures.
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KSA_369 tarafından
Seasonal Forecaster ProSeasonal Forecaster Pro This script is an advanced analytical tool designed to uncover and measure historical seasonal (or cyclical) tendencies in any market. It visualizes how an asset has performed on average during specific times of the year and provides a real-time score to gauge how closely the current price action is following these historical patterns. The primary goal is to provide traders with a unique analytical layer, helping to identify periods of historical strength or weakness and to validate current trends against historical norms. Key Features 📈 Multi-Period Seasonality Lines: The indicator plots multiple seasonal patterns simultaneously. Each colored line represents the average historical performance over a different lookback period (e.g., 3-year, 5-year, 10-year average). This allows you to compare short-term versus long-term seasonal trends. 🔮 Forward Projection: The seasonal lines are projected into the future, illustrating the average historical path for the upcoming days and weeks. This is not a price prediction, but a visual guide to an asset's typical behavior based on past data. 📊 Correlation Table: A powerful, real-time dashboard that measures how strongly the current price is correlated with each historical seasonality pattern. High Correlation (> 75%): 🟢 Indicates that the current price is moving in strong alignment with its historical tendency. Medium Correlation (50% to 75%): 🟠 Shows a moderate relationship. Low Correlation (< 50%): 🔴 Signals that the price is currently deviating from its historical norm. 🛡️ Advanced Outlier Filtering: The core calculation uses a robust statistical method to filter out extreme, one-off market events like flash crashes or major news spikes. This ensures that the resulting seasonal patterns are more stable and representative of typical market behavior. ⚙️ Full Customization: You have complete control over the indicator's appearance. You can toggle any seasonality line on or off, and customize the colors, line width, and the on-screen table's position and colors to perfectly match your chart's theme. How It Helps Your Trading This indicator is a tool for analysis and confluence, not for generating buy/sell signals. Here’s how you can integrate it into your strategy: Identify Seasonal Trends: Easily spot times of the year where an asset has historically shown bullish or bearish tendencies. For example, if the lines are consistently trending upwards from March to May, it highlights a period of historical strength. Confirm Trend Strength: Use the correlation table to add confidence to your analysis. If you see an asset is in an uptrend and the correlation score for its dominant seasonal pattern is high and green, it provides powerful confirmation that the move is aligned with historical precedent. Spot Divergences: Identify when the market is behaving abnormally. If the historical pattern suggests an uptrend, but the current price is falling and the correlation score is low and red, it signals a divergence. This can alert you that current market drivers are overriding seasonal tendencies and may warrant extra caution. This script is an analysis tool and does not provide financial advice or trade signals. All trading involves risk, and past performance is not indicative of future results. Please use this indicator as part of a comprehensive trading plan. This script is invite-only and its source code is protected.
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Gold vs DXYThe 30-day rolling correlation between Gold (XAU/USD) and the US Dollar Index (DXY) shows how closely the two move together — or more often, in opposite directions — over the last 30 trading days. In most market environments, the relationship is pretty straightforward: when the dollar goes up, gold tends to go down, and vice versa. That’s because gold is priced in dollars, so a stronger dollar makes it more expensive for international buyers, which usually softens demand. But it’s not always that simple. There are times when this inverse correlation breaks down. For example, if real yields (like the US 10-year yield minus inflation expectations) are rising, that can pressure gold even if the dollar is falling — because higher real returns elsewhere make gold less attractive. Another case is when other currencies, like the euro or yen, rally strongly on their own central bank decisions. This can pull DXY lower without necessarily signaling weakness in the U.S. economy — meaning gold might not benefit much. There are also “risk-on” moments where investors rotate into equities or crypto, selling off both gold and the dollar in favor of yield or momentum. And during periods of crisis or uncertainty, both gold and the dollar can rise together as safe-haven assets, breaking the usual pattern entirely. That’s why tracking the rolling correlation is helpful. It shows whether the historical relationship between gold and the dollar is still holding — or if we’re entering a different market regime. It’s not about predicting exact price moves, but about understanding the current backdrop. When gold and DXY are moving out of sync as expected, it can support your trade thesis. But when the correlation flattens or flips, it’s often a sign to dig deeper — macro forces may be shifting.
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