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Index Construction Tool🙏🏻 The most natural mathematical way to construct an index || portfolio, based on contraharmonic mean || contraharmonic weighting. If you currently traded assets do not satisfy you, why not make your own ones? Contraharmonic mean is literally a weighted mean where each value is weighted by itself. ... Now let me explain to you why contraharmonic weighting is really so fundamental in two ways: observation how the industry (prolly unknowably) converged to this method, and the real mathematical explanation why things are this way. How it works in the industry. In indexes like TVC:SPX or TVC:DJI the individual components (stocks) are weighted by market capitalization. This market cap is made of two components: number of shares outstanding and the actual price of the stock. While the number of shares holds the same over really long periods of time and changes rarely by corporate actions , the prices change all the time, so market cap is in fact almost purely based on prices itself. So when they weight index legs by market cap, it really means they weight it by stock prices. That’s the observation: even tho I never dem saying they do contraharmonic weighting, that’s what happens in reality. Natural explanation Now the main part: how the universe works. If you build a logical sequence of how information ‘gradually’ combines, you have this: Suppose you have the one last datapoint of each of 4 different assets; The next logical step is to combine these datapoints somehow in pairs. Pairs are created only as ratios , this reveals relationships between components, this is the only step where these fundamental operations are meaningful, they lose meaning with 3+ components. This way we will have 16 pairs: 4 of them would be 1s, 6 real ratios, and 6 more inverted ratios of these; Then the next logical step is to combine all the pairs (not the initial single assets) all together. Naturally this is done via matrices, by constructing a 4x4 design matrix where each cell will be one of these 16 pairs. That matrix will have ones in the main diagonal (because these would be smth like ES/ES, NQ/NQ etc). Other cells will be actual ratios, like ES/NQ, RTY/YM etc; Then the native way to compress and summarize all this structure is to do eigendecomposition . The only eigenvector that would be meaningful in this case is the principal eigenvector, and its loadings would be what we were hunting for. We can multiply each asset datapoint by corresponding loading, sum them up and have one single index value, what we were aiming for; Now the main catch: turns out using these principal eigenvector loadings mathematically is Exactly the same as simply calculating contraharmonic weights of those 4 initial assets. We’re done here. For the sceptics, no other way of constructing the design matrix other than with ratios would result in another type of a defined mean. Filling that design matrix with ratios Is the only way to obtain a meaningful defined mean, that would also work with negative numbers. I’m skipping a couple of details there tbh, but they don’t really matter (we don’t need log-space, and anyways the idea holds even then). But the core idea is this: only contraharmonic mean emerges there, no other mean ever does. Finally, how to use the thing: Good news we don't use contraharmonic mean itself because we need an internals of it: actual weights of components that make this contraharmonic mean, (so we can follow it with our position sizes). This actually allows us to also use these weights but not for addition, but for subtraction. So, the script has 2 modes (examples would follow): Addition: the main one, allows you to make indexes, portfolios, baskets, groups, whatever you call it. The script will simply sum the weighted legs; Subtraction: allows you to make spreads, residual spreads etc. Important: the script will subtract all the symbols From the first one. So if the first we have 3 symbols: YM, ES, RTY, the script will do YM - ES - RTY, weights would be applied to each. At the top tight corner of the script you will see a lil table with symbols and corresponding weights you wanna trade: these are ‘already’ adjusted for point value of each leg, you don’t need to do anything, only scale them all together to meet your risk profile. Symbols have to be added the way the default ones are added, one line : one symbol. Pls explore the script’s Style setting: You can pick a visualization method you like ! including overlays on the main chart pane ! Script also outputs inferred volume delta, inferred volume and inferred tick count calculated with the same method. You can use them in further calculations. ... Examples of how you can use it ^^ Purple dotted line: overlay from ICT script, turned on in Style settings, the contraharmonic mean itself calculated from the same assets that are on the chart: CME_MINI:RTY1! , CME_MINI:ES1! , CME_MINI:NQ1! , CBOT_MINI:YM1! ^^ precious metals residual spread ( COMEX:GC1! COMEX:SI1! NYMEX:PL1! ) ^^ CBOT:ZC1! vs CBOT:ZW1! grain spread ^^ BDI (Bid Dope Index), constructed from: NYSE:MO , NYSE:TPB , NYSE:DGX , NASDAQ:JAZZ , NYSE:IIPR , NASDAQ:CRON , OTC:CURLF , OTC:TCNNF ^^ NYMEX:CL1! & ICEEUR:BRN1! basket ^^ resulting index price, inferred volume delta, inferred volume and inferred tick count of CME_MINI:NQ1! vs CME_MINI:ES1! spread ... Synthetic assets is the whole new Universe you can jump into and never look back, if this is your way ... ∞
Pine Script® indicator
by gorx1
Selected Days Indicator V3-TrDoes the stock drop every Wednesday? Do March months always move similarly? Does the 1st week of the month behave differently? Do you ever say "it always makes this move in these months"? Don't you want to see more clearly whether it actually makes this move or not? Don't you want to see and test periodically repeating price patterns? Hisse her Çarşamba düşüyor mu? Mart ayları hep benzer mi hareket ediyor? Ayın 1. haftası farklı mı davranıyor? Bazen "bu aylarda hep bu hareketi yapıyor" dediğiniz oluyor mu? Gerçekten de bu hareketi yapıp yapmadığını daha net görmek istemez misiniz? Periyodik tekrarlayan fiyat kalıplarını görmek ve test etmek istemiyor musunuz? 1. Problem Some stocks or crypto assets exhibit systematic behaviors on certain days, weeks, or months. But it's hard to see - everything is mixed together on the chart. This indicator isolates the days/weeks/months you want and shows only them. Hides everything else. 2. How It Works Three-layer filter: Day (Monday, Tuesday...), Week (1st, 2nd, 3rd week of the month), Month (January, February...). Select what you want, let the rest disappear. Example: Show only Thursdays of March-June-September. Or compare every 1st week of the month. View as candlestick, line, or column chart. 3. What's It Good For? Test "end-of-month effect". Find "day-of-the-week anomaly". Analyze crypto volatility by days. See seasonality in commodities. Discover patterns specific to your own strategy. Past data doesn't guarantee the future but provides statistical advantage.
Pine Script® indicator
by ExperiMentalist
Session Volume Profile Sniffer: HVN & Rejection ZonesA simple tool built for traders who rely on intraday volume structure. What this script does This script tracks volume distribution inside a selected session and highlights two key price levels: High Volume Nodes (HVNs) — areas where price spent time building heavy participation. Low Volume Nodes (LVNs) — thin zones where price moved quickly with very little interest. Instead of plotting a full profile, this tool gives you the exact rejection-level lines you usually hunt manually. Why these levels matter HVN → price tends to react, stall, or flip direction LVN → price often rejects strongly since liquidity is thin Rejection patterns around these areas give clean entry signals Positioning trades around HVN/LVN helps filter noise in choppy sessions This script removes the trouble of drawing profiles, counting bins, or guessing node levels. Everything is calculated inside the session you choose. How the detection works Inside your session window, the script: 1. Tracks each tick-based price bucket 2. Accumulates raw volume for every bucket Identifies: HVNs = buckets with volume above a tier LVNs = buckets with volume below a tier 3. Prints each level as a single clean line 4. Generates: Long signal → bounce from LVN Short signal → rejection from HVN Built-in exits use ATR-based conditions for quick testing. Features Session-based volume mapping HVN + LVN levels drawn automatically Entry triggers based on rejection ATR exits for experimental backtests Clean, minimal visual output Best use cases Intraday futures Index scalping FX sessions (London / NY) Crypto sessions (user-timed) Anyone who trades around volume structure Adjustable settings Session window Volume bin size HVN multiplier LVN multiplier Enable/disable zone lines This keeps it flexible enough for both scalpers and slow-paced intraday setups. Important note This script is built for study + idea testing. It is not intended as a final system. Once you identify how price behaves around these nodes, you can blend this tool into your own setup.
Pine Script® strategy
by AIScripts
Ichimoku Trading Checklist - 5 Rules🧠 Description This indicator implements a rule-based checklist built on Ichimoku Kinko Hyo, complemented with RSI and price structure, designed to help traders objectively evaluate whether a bullish setup is valid or not. ⚠️ This indicator does NOT generate buy or sell signals. ⚠️ It is NOT a trading system or financial advice. The core philosophy is discipline and consistency: If there is no setup, there is no trade. ________________________________________ ✅ The 5 Rules Evaluated 1. Chikou Span above price (26 bars back) Confirms that current price is above historical price, validating a bullish context. 2. Bullish TK Cross (Tenkan-sen > Kijun-sen) Measures bullish momentum within the Ichimoku framework. 3. Bullish divergence or convergence between RSI and price Evaluates relative strength using recent RSI pivots and price structure. 4. Kumo breakout followed by a valid pullback Requires a bullish cloud breakout and a pullback that respects the structure. 5. Bullish Kumo (green cloud / twist) Confirms that the Ichimoku cloud supports a bullish bias. ________________________________________ 🚦 Decision Traffic Light (Final Row) The last row of the table provides a traffic-light style summary: • 🟢 5/5 rules met → Valid setup • 🟡 1–4 rules met → Incomplete setup • 🔴 0 rules met → No trade Core message displayed: “No setup, No trade!” 🚫 ________________________________________ 🎨 Customization Through the Inputs panel, users can customize: • Header, body, and footer background colors • Traffic-light colors and icons (🟢 🟡 🔴) • Text alignment (left / center / right) • Optional rule counter (x/5) ⚠️ Tables do not use TradingView’s Style tab; all customization is handled via Inputs. ________________________________________ ⏱️ Timeframe The indicator is timeframe-agnostic, but it was designed and tested primarily on the 1H timeframe, where Ichimoku and RSI structure tend to be more consistent. ________________________________________ ⚠️ Disclaimer This script is provided for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any asset. Trading involves risk, and all decisions remain the sole responsibility of the user. Remember that every strategy is based on probabilities and scenarios that you have already tested in hundreds of trades. ________________________________________ 👤 Author © Yesid Correa Cano Pine Script v6 License: Mozilla Public License 2.0 (MPL-2.0)
Pine Script® indicator
by Yesid_Correa_Cano
Reversal Strength with Momentum Ratings on 4hr charts Here's a quick breakdown of what you'll see on your chart and how to actually use the indicator! Reversal Labels: ↑ = Bullish reversal (price reversing upward) ↓ = Bearish reversal (price reversing downward) STRONG (bright green/red) = High-confidence reversal (score > 65) weak (faded green/red) = Low-confidence reversal (score ≤ 65) Number on label = Reversal strength score (0-100) Momentum Table (Top Right): Overall Score (0-100) = Total momentum strength Green (80+) = Very strong momentum Yellow (40-60) = Moderate momentum Orange/Red (<40) = Weak/stalling momentum Individual Momentum Scores (each worth 0-20 points): Volume = How much trading activity vs average Price ROC = How fast price is moving (rate of change) MA Spacing = How spread out the moving averages are (trend strength) ADX = Directional movement indicator (trend conviction) RSI Mom. = How far RSI is from neutral 50 (momentum extreme) Status Indicators: 🔥 STRONG = Momentum > 70 (strong move happening) 📈 BUILDING = Momentum 50-70 (gaining strength) ⚠️ WEAK = Momentum 30-50 (losing steam) 💤 STALLING = Momentum < 30 (very weak/choppy) Background Tint: Light green background = Strong momentum (>70) Light red background = Very weak momentum (<30) The key is: look for STRONG reversal labels when momentum is building/strong for the best trade setups! Also this is mainly for the 4hr time frame.
Pine Script® indicator
by wateriskey6689
MP SESSIONS, DST, OTTMP SESSIONS, DST, OTT – What this indicator does This script is a multi-session market timing tool that: Draws full trading sessions on the chart (Asia, Sydney, Tokyo, Shanghai, Europe, London, New York, NYSE) Automatically adjusts for Daylight Saving Time (DST) for Sydney, London, and New York Shows a live info table with session times, DST status, and whether each session is currently open or closed Adds optional custom “OTT” vertical lines at user-defined intraday times (for your own models, killzones, or time blocks) Main Features (high level) 1. Market mode & time zone handling Market Mode: Forex Stock User Custom (you type your own session ranges) TFlab suggestion (predefined “optimized” session times) Time Zone Mode: UTC Session Local Time (local exchange time: Sydney, Tokyo, London, New York etc.) Your Time Zone (converts to the user-selected TZ, e.g. UTC-4:00) Handles separate time zones for: Asia, Sydney, Tokyo, Shanghai, Europe, London, New York, NYSE Has logic to recalculate session start/end depending on DST and the chosen mode. 2. Daylight Saving Time (DST) engine The function DST_Detector: Calculates when DST starts and ends for: Australia/Sydney Europe/London America/New_York Detects the correct Sunday (2nd, 4th, etc.) for start/end using day-of-week and week counts. Returns 'Active' or 'Inactive' for each region. These values are then used to shift the sessions (e.g. New York 13:00–21:00 vs 12:00–20:00 in UTC). The script can also draw vertical lines on the chart when DST starts/ends and label them: “Sydney DST Started / Ended” “London DST Started / Ended” “New York DST Started / Ended” 3. Session timing & sessions on the chart The function Market_TimeZone_Calculator: Based on Market Mode + Time Zone Mode + DST state, it returns: Time ranges for: Sydney, Tokyo, Shanghai, Asia (combined), Europe, London, New York, NYSE These ranges are in "HHMM-HHMM" format. Then the script: Converts these to time() conditions using the proper time zone Creates boolean series like On_sesAsia, On_sesEurope, On_sesNewYork, etc., which are 1 when the session is open and 0 when closed. 4. Session high/low boxes & labels The function LowHighSessionDetector: Tracks high and low of each session while it’s active. When a new session starts: Resets and starts recording the session high/low. While session is active: Updates High with the max of current bar high and previous session high. Updates Low with the min of current bar low and previous session low. When the session is "on": Draws a box from session low to high (box.new) and extends it to the right as long as the session continues. Places a label with session name (Asia, London, New York, etc.) near the high: Style depends on the session (down/right/left). You have visibility toggles per session: Asia Session, Sydney Session, Tokyo Session, Shanghai Session, Europe Session, London Session, New York Session, NYSE (for TFlab mode). So you visually see: A shaded box for each session The full H/L range for that session A text label with the session name. 5. Info table The indicator builds a table in a corner of the chart showing: Header: “FOREX Session”, “Stock Market Trading Hours”, “User Custom Session”, or “TFlab suggestion” depending on mode. Columns: Session name (Asia, Sydney, Tokyo, Shanghai, Europe, London, New York, NYSE) DST status for that region (“Active 🌞 / Inactive 🍂 / Not Observed”) Session start time Session end time Current status (“Open / Closed”, with green/red background) The function SplitFunction: Parses the "HHMM-HHMM" strings for each session. Converts them into: Either raw times (if viewing in UTC/session local) Or converted times in Your Time Zone using timestamp and hour/ minute with YourTZ. Returns formatted Start and End strings like 9:30, 13:00, etc. So the table is effectively a live session schedule that: Auto-adjusts to DST Can show times in your own time zone Shows which session is open right now. 6. OTT vertical lines (custom intraday markers) At the bottom, there is an OTT section which lets you draw up to three sets of vertical lines at specific times: Each OTT block has: Enable toggle (Enable OTT 1/2/3) Start hour & minute End hour & minute Color Global OTT settings: Line style: Solid / Dashed / Dotted Line width Toggle: “Show OTT Labels?” Logic: is_ott_time() checks if current bar’s hour and minute match the OTT input time. draw_ott(): When the bar time matches, draws a vertical line through the candle from low to high (extend.both). Optionally adds a label above the bar, like "OTT1 Start", "OTT1 End", etc. Use cases: Marking open/close of your trading session Defining killzones, news times, or custom model windows Visual anchors for your intraday routine (NY open, 10 AM candle, etc.)
Pine Script® indicator
by markoparkhomenko
Volatility Targeting: Single Asset [BackQuant]Volatility Targeting: Single Asset An educational example that demonstrates how volatility targeting can scale exposure up or down on one symbol, then applies a simple EMA cross for long or short direction and a higher timeframe style regime filter to gate risk. It builds a synthetic equity curve and compares it to buy and hold and a benchmark. Important disclaimer This script is a concept and education example only . It is not a complete trading system and it is not meant for live execution. It does not model many real world constraints, and its equity curve is only a simplified simulation. If you want to trade any idea like this, you need a proper strategy() implementation, realistic execution assumptions, and robust backtesting with out of sample validation. Single asset vs the full portfolio concept This indicator is the single asset, long short version of the broader volatility targeted momentum portfolio concept. The original multi asset concept and full portfolio implementation is here: That portfolio script is about allocating across multiple assets with a portfolio view. This script is intentionally simpler and focuses on one symbol so you can clearly see how volatility targeting behaves, how the scaling interacts with trend direction, and what an equity curve comparison looks like. What this indicator is trying to demonstrate Volatility targeting is a risk scaling framework. The core idea is simple: If realized volatility is low relative to a target, you can scale position size up so the strategy behaves like it has a stable risk budget. If realized volatility is high relative to a target, you scale down to avoid getting blown around by the market. Instead of always being 1x long or 1x short, exposure becomes dynamic. This is often used in risk parity style systems, trend following overlays, and volatility controlled products. This script combines that risk scaling with a simple trend direction model: Fast and slow EMA cross determines whether the strategy is long or short. A second, longer EMA cross acts as a regime filter that decides whether the system is ACTIVE or effectively in CASH. An equity curve is built from the scaled returns so you can visualize how the framework behaves across regimes. How the logic works step by step 1) Returns and simple momentum The script uses log returns for the base return stream: ret = log(price / price ) It also computes a simple momentum value: mom = price / price - 1 In this version, momentum is mainly informational since the directional signal is the EMA cross. The lookback input is shared with volatility estimation to keep the concept compact. 2) Realized volatility estimation Realized volatility is estimated as the standard deviation of returns over the lookback window, then annualized: vol = stdev(ret, lookback) * sqrt(tradingdays) The Trading Days/Year input controls annualization: 252 is typical for traditional markets. 365 is typical for crypto since it trades daily. 3) Volatility targeting multiplier Once realized vol is estimated, the script computes a scaling factor that tries to push realized volatility toward the target: volMult = targetVol / vol This is then clamped into a reasonable range: Minimum 0.1 so exposure never goes to zero just because vol spikes. Maximum 5.0 so exposure is not allowed to lever infinitely during ultra low volatility periods. This clamp is one of the most important “sanity rails” in any volatility targeted system. Without it, very low volatility regimes can create unrealistic leverage. 4) Scaled return stream The per bar return used for the equity curve is the raw return multiplied by the volatility multiplier: sr = ret * volMult Think of this as the return you would have earned if you scaled exposure to match the volatility budget. 5) Long short direction via EMA cross Direction is determined by a fast and slow EMA cross on price: If fast EMA is above slow EMA, direction is long. If fast EMA is below slow EMA, direction is short. This produces dir as either +1 or -1. The scaled return stream is then signed by direction: avgRet = dir * sr So the strategy return is volatility targeted and directionally flipped depending on trend. 6) Regime filter: ACTIVE vs CASH A second EMA pair acts as a top level regime filter: If fast regime EMA is above slow regime EMA, the system is ACTIVE. If fast regime EMA is below slow regime EMA, the system is considered CASH, meaning it does not compound equity. This is designed to reduce participation in long bear phases or low quality environments, depending on how you set the regime lengths. By default it is a classic 50 and 200 EMA cross structure. Important detail, the script applies regime_filter when compounding equity, meaning it uses the prior bar regime state to avoid ambiguous same bar updates. 7) Equity curve construction The script builds a synthetic equity curve starting from Initial Capital after Start Date . Each bar: If regime was ACTIVE on the previous bar, equity compounds by (1 + netRet). If regime was CASH, equity stays flat. Fees are modeled very simply as a per bar penalty on returns: netRet = avgRet - (fee_rate * avgRet) This is not realistic execution modeling, it is just a simple turnover penalty knob to show how friction can reduce compounded performance. Real backtesting should model trade based costs, spreads, funding, and slippage. Benchmark and buy and hold comparison The script pulls a benchmark symbol via request.security and builds a buy and hold equity curve starting from the same date and initial capital. The buy and hold curve is based on benchmark price appreciation, not the strategy’s asset price, so you can compare: Strategy equity on the chart symbol. Buy and hold equity for the selected benchmark instrument. By default the benchmark is TVC:SPX, but you can set it to anything, for crypto you might set it to BTC, or a sector index, or a dominance proxy depending on your study. What it plots If enabled, the indicator plots: Strategy Equity as a line, colored by recent direction of equity change, using Positive Equity Color and Negative Equity Color . Buy and Hold Equity for the chosen benchmark as a line. Optional labels that tag each curve on the right side of the chart. This makes it easy to visually see when volatility targeting and regime gating change the shape of the equity curve relative to a simple passive hold. Metrics table explained If Show Metrics Table is enabled, a table is built and populated with common performance statistics based on the simulated daily returns of the strategy equity curve after the start date. These include: Net Profit (%) total return relative to initial capital. Max DD (%) maximum drawdown computed from equity peaks, stored over time. Win Rate percent of positive return bars. Annual Mean Returns (% p/y) mean daily return annualized. Annual Stdev Returns (% p/y) volatility of daily returns annualized. Variance of annualized returns. Sortino Ratio annualized return divided by downside deviation, using negative return stdev. Sharpe Ratio risk adjusted return using the risk free rate input. Omega Ratio positive return sum divided by negative return sum. Gain to Pain total return sum divided by absolute loss sum. CAGR (% p/y) compounded annual growth rate based on time since start date. Portfolio Alpha (% p/y) alpha versus benchmark using beta and the benchmark mean. Portfolio Beta covariance of strategy returns with benchmark returns divided by benchmark variance. Skewness of Returns actually the script computes a conditional value based on the lower 5 percent tail of returns, so it behaves more like a simple CVaR style tail loss estimate than classic skewness. Important note, these are calculated from the synthetic equity stream in an indicator context. They are useful for concept exploration, but they are not a substitute for professional backtesting where trade timing, fills, funding, and leverage constraints are accurately represented. How to interpret the system conceptually Vol targeting effect When volatility rises, volMult falls, so the strategy de risks and the equity curve typically becomes smoother. When volatility compresses, volMult rises, so the system takes more exposure and tries to maintain a stable risk budget. This is why volatility targeting is often used as a “risk equalizer”, it can reduce the “biggest drawdowns happen only because vol expanded” problem, at the cost of potentially under participating in explosive upside if volatility rises during a trend. Long short directional effect Because direction is an EMA cross: In strong trends, the direction stays stable and the scaled return stream compounds in that trend direction. In choppy ranges, the EMA cross can flip and create whipsaws, which is where fees and regime filtering matter most. Regime filter effect The 50 and 200 style filter tries to: Keep the system active in sustained up regimes. Reduce exposure during long down regimes or extended weakness. It will always be late at turning points, by design. It is a slow filter meant to reduce deep participation, not to catch bottoms. Common applications This script is mainly for understanding and research, but conceptually, volatility targeting overlays are used for: Risk budgeting normalize risk so your exposure is not accidentally huge in high vol regimes. System comparison see how a simple trend model behaves with and without vol scaling. Parameter exploration test how target volatility, lookback length, and regime lengths change the shape of equity and drawdowns. Framework building as a reference blueprint before implementing a proper strategy() version with trade based execution logic. Tuning guidance Lookback lower values react faster to vol shifts but can create unstable scaling, higher values smooth scaling but react slower to regime changes. Target volatility higher targets increase exposure and drawdown potential, lower targets reduce exposure and usually lower drawdowns, but can under perform in strong trends. Signal EMAs tighter EMAs increase trade frequency, wider EMAs reduce churn but react slower. Regime EMAs slower regime filters reduce false toggles but will miss early trend transitions. Fees if you crank this up you will see how sensitive higher turnover parameter sets are to friction. Final note This is a compact educational demonstration of a volatility targeted, long short single asset framework with a regime gate and a synthetic equity curve. If you want a production ready implementation, the correct next step is to convert this concept into a strategy() script, add realistic execution and cost modeling, test across multiple timeframes and market regimes, and validate out of sample before making any decision based on the results.
Pine Script® indicator
by BackQuant
1
"Clean Market Structure & Trend Confirmation" TP LADDER(UPDATED)Clean Market Structure & Trend Confirmation — TP Ladder This indicator is designed to identify high-probability intraday trend trades using market structure, momentum confirmation, and a visual ribbon system, with automatic take-profit and stop-loss levels plotted after confirmed signals. WHAT THIS INDICATOR IS FOR This script is built for active intraday traders trading SPY, QQQ, It focuses on trend continuation and directional momentum rather than scalping chop. It works best during regular market hours with extended hours enabled. HOW TO LOAD (IMPORTANT) Add the script to your chart Set chart timeframe to 5-minute Turn Extended Trading Hours ON Use during the NY session (especially open and trend periods) THE RIBBON (MOST IMPORTANT RULE) The ribbon defines the trend. • Blue/Teal ribbon = bullish trend • Red ribbon = bearish trend • Gray ribbon = compression / no trade zone Only trade in the direction of the ribbon. No ribbon alignment = no trade. BULL & BEAR DOTS “BULL” dot appears when structure flips bullish. “BEAR” dot appears when structure flips bearish. These confirm trend direction, not entries by themselves. BUY & SELL ARROWS (ENTRIES) • BUY arrow prints only when bullish ribbon, structure, momentum, and filters align • SELL arrow prints only when bearish ribbon, structure, momentum, and filters align • Arrows are non-repainting when using close-confirmed mode No arrow = no trade. CONTINUATION (C) LOGIC The script allows limited continuation entries after pullbacks when structure realigns. By default, only one continuation per direction per day is allowed to prevent overtrading and signal spam. TAKE-PROFIT (TP) LADDER When a BUY or SELL arrow confirms, the script automatically plots: • TP1 = partial profit • TP2 = extended target • TP3 = final extension • STOP = ATR-based stop loss All levels are calculated using ATR and adjust automatically to volatility. The ladder only appears after a confirmed signal. HOW TO TRADE IT (SIMPLE FLOW) Identify ribbon direction Wait for BUY or SELL arrow Enter on confirmation Scale out at TP1, TP2, TP3 Respect the STOP line If structure breaks or ribbon flips, exit. WHAT TO AVOID • Do not trade against the ribbon • Do not trade in gray ribbon conditions • Do not chase candles without arrows • Do not expect constant signals (quality over quantity)
Pine Script® indicator
by webemoon
3SPC Three Candle Price Action Setup3SPC (Three Candle Price Action Setup) is an open-source indicator designed to detect a simple and clearly defined three-candle price action pattern. The logic is based on the following structure: • The first two candles move in the same direction (bullish or bearish). • The third candle interacts with the real bodies of both previous candles, which may indicate a short-term liquidity sweep or price reaction. • A bullish setup is confirmed when price holds above the open of the first candle. • A bearish setup is confirmed when price holds below the open of the first candle. This script does not use oscillators or lagging indicators. It is intended as a visual aid for discretionary traders and should be used together with market context, risk management and higher timeframe analysis. The script is published as open-source for educational and transparency purposes. UI Labels Translation: - نمایش ستاپ صعودی: Show bullish setups - نمایش ستاپ نزولی: Show bearish setups
Pine Script® indicator
by KittipathSukkho
COIN-Clean Market Structure & Trend Confirmation TP(Updated)COIN-Clean Market Structure & Trend Confirmation TP(Updated) — COIN (Simple Trend + Buy/Sell Confirmation + Take-Profit Targets) This indicator is designed to help you trade COIN by clearly showing trend direction, confirmation signals, and predefined take-profit levels. It removes guesswork and helps you stay on the right side of the move. HOW TO LOAD Add the indicator to a COIN chart. Turn on Extended Hours for best results. The default settings are already optimized and do not need to be changed. THE RIBBON (WHAT TO TRADE) The ribbon shows the overall trend. Teal ribbon = price is trending up (look for BUY setups). Red ribbon = price is trending down (look for SELL setups). Gray ribbon = no clear trend (do not trade). If the ribbon is gray, the indicator will block signals to protect you from choppy markets. BULL AND BEAR DOTS (TREND CHANGE ALERTS) Bull dot appears when the trend turns bullish. Bear dot appears when the trend turns bearish. These dots are early warnings, not entries. Always wait for a BUY or SELL arrow before taking a trade. BUY AND SELL ARROWS (WHEN TO ENTER) BUY arrows appear only when conditions strongly favor upward movement. SELL arrows appear only when conditions strongly favor downward movement. These arrows are confirmation signals. Enter only after the arrow appears. Not every move will get a signal. Fewer, higher-quality signals are intentional. OPENING BIAS (FIRST MINUTES PROTECTION) Right after the market opens, the indicator sets a directional bias. During this time, it will only allow trades in the safer direction. This helps avoid getting chopped up during the opening volatility. TAKE-PROFIT TARGETS AND STOP When a BUY or SELL arrow appears, take-profit levels automatically show on the chart: TP1, TP2, and TP3 are profit targets. STOP is where the trade is considered wrong. You can scale out at each target or exit fully at any level. Only the most recent targets are shown to keep the chart clean. SIMPLE WAY TO USE IT Check the ribbon color (teal or red). Ignore the chart if the ribbon is gray. Wait for a BUY or SELL arrow. Use the take-profit targets and stop provided. Do not chase moves without arrows. IMPORTANT NOTES This indicator does not repaint confirmed signals. It is meant to keep trading simple and disciplined. It works best during strong trend days, not sideways markets.
Pine Script® indicator
by webemoon
Heikin Ashi + Real Price OverlayHeikin-Ashi + Real Price Overlay This indicator combines the smooth trend visualization of Heikin-Ashi candles with the true market price for precise execution. Features: Heikin-Ashi Candles: Provides a clear, smoothed view of market trends and momentum. Real Close Price Overlay: Plots the actual closing price as a line on top of HA candles, ensuring accurate entry, exit, and stop placement. Trend-Based Coloring: The real price line is colored according to HA trend (green for bullish, red for bearish), making trend bias instantly visible. Lightweight and ideal for scalping, day trading, or any strategy where trend bias + exact price matters. Use Case: Use HA candles to identify market bias and momentum. Use the real price line for precise entries, exits, and stop levels. Perfect for traders who want the clarity of HA without sacrificing real price accuracy.
Pine Script® indicator
by seeyeahslater
X-Trend Macro Command CenterX-Trend Macro Command Center (MCC) | Institutional Grade Dashboard 📝 Description Body The Invisible Engine of the Market Revealed. Traders often focus solely on Price Action, ignoring the massive underwater currents that actually drive trends: Global Liquidity, Inflation, and Central Bank Policy. We created X-Trend Macro Command Center (MCC) to solve this problem. This is not just an indicator. It is a fundamental heads-up display that bridges the gap between technical charts and macroeconomic reality. 💡 The Idea & Philosophy Markets don't move in a vacuum. Bull runs are fueled by M2 Money Supply expansion and negative real yields. Crashes are triggered by liquidity crunches and aggressive rate hikes. X-Trend MCC was built to give retail traders the same "Macro Awareness" that institutional desks possess. It aggregates fragmented economic data from Federal Reserve databases (FRED) directly onto your chart in real-time. 🚀 Application & Logic This tool is designed for Trend Traders, Crypto Investors, and Macro Analysts. Identify the Regime: Instantly see if the environment is "RISK ON" (High Liquidity, Low Real Rates) or "RISK OFF" (Monetary Tightening). Validate the Trend: Don't buy the dip if Liquidity (M2) is crashing. Don't short the rally if Real Yields are negative. Multi-Region Analysis: Switch instantly between economic powerhouses (US, China, Japan) to see where the capital is flowing. 📊 Dashboard Metrics Explained Every row in the Command Center tells a specific story about the economy: Interest Rate: The "Gravity" of finance. Higher rates weigh down risk assets (Stocks/Crypto). Inflation (YoY): The erosion of purchasing power. We calculate this dynamically based on CPI data. Real Yield (The "Golden" Metric): Calculated as Interest Rate - Inflation. Green: Real Yield is low/negative. Cash is trash, assets fly. Red: Real Yield is high. Cash is King, assets struggle. US Debt & GDP: Fiscal health indicators formatted in Trillions ($T). Watch the Debt-to-GDP ratio—if it spikes >120%, expect currency debasement. M2 Money Supply: The fuel tank of the market. Tracks the total amount of money in circulation. ↗ Trend: Liquidity is entering the system (Bullish). ↘ Trend: Liquidity is drying up (Bearish). 🧩 The X-Trend Ecosystem X-Trend MCC is just the tip of the iceberg. This module is part of the larger X-Trend Project — a comprehensive suite of algorithmic tools being developed to quantify market chaos. While our Price Action algorithms (Lite/Pro/Ultra) handle the Micro, the MCC handles the Macro. Technical Note: Data Sources: Direct connection to FRED (Federal Reserve Economic Data). Zero Repainting: Historical data is requested strictly using closed bars to ensure accuracy. Open Source: We believe in transparency. The code is open for study under MPL 2.0. Build by Dev0880 | X-Trend © 2025
Pine Script® indicator
by Dev0880
EMA COLOR CHANCE indicator("Renk Değiştiren EMA & Mum Al-Sat", overlay=true) emaLength = input.int(50, "EMA Periyodu", minval=1) emaValue = ta.ema(close, emaLength) trendUp = close > emaValue trendDown = close < emaValue plot(emaValue, title="EMA", color = (trendUp ? color.lime : color.red), linewidth=2) barcolor(trendUp ? color.lime : color.red) buySignal = ta.crossover(close, emaValue) sellSignal = ta.crossunder(close, emaValue) plotshape(buySignal, title="BuySignal", location=location.belowbar, style=shape.triangleup, size=size.large, color=color.lime) plotshape(sellSignal, title="SellSignal", location=location.abovebar, style=shape.triangledown, size=size.large, color=color.red) alertcondition(buySignal, title="AL Sinyali", message="AL sinyali - fiyat EMA'yı yukarı kesti") alertcondition(sellSignal, title="SAT Sinyali", message="SAT sinyali - fiyat EMA'yı aşağı kesti")
Pine Script® indicator
by ARMAGAN007
Liquidity Sweep Reentry ToolkitHere’s a clear breakdown of what your Liquidity Sweep Reentry Toolkit script does, and how you can use it on your charts: 🔎 Script Breakdown 1. Visual Controls (Inputs) • : Master toggle to turn all visuals on/off. • : Show labels when a liquidity sweep + ChoCh condition occurs. • : Plot green/red triangles for bullish/bearish reentry signals. • : Prevent multiple signals within the same swing. • : Show HH/HL/LL/LH market structure letters. • : Slider to adjust how dim the background of HH/HL/LL/LH labels appear. 2. Core Conditions • Defines simple bullish () and bearish () candles. • is a placeholder for your Change of Character logic. 3. Sweep Detection • : Detects when price makes a new high compared to the last 5 bars. • : Detects when price makes a new low compared to the last 5 bars. 4. Restriction Flags • Tracks whether a sweep signal has already triggered in the current swing. • Resets when sweeps end, so new signals can appear. 5. Composite Triggers • : Fires when bullish candle + buy-side sweep + ChoCh condition align. • : Fires when bearish candle + sell-side sweep + ChoCh condition align. 6. Visual Labels • Gold labels mark “BS Sweep + ChoCh” or “SS Sweep + ChoCh” events. • Green triangle below bar = bullish reentry. • Red triangle above bar = bearish reentry. • Blue HH/HL/LL/LH labels narrate market structure pivots, with adjustable transparency. 7. Alerts • Alerts can be set for bullish or bearish sweep reentry triggers, so you get notified when conditions align. 📘 How to Use It 1. Apply to Chart Add the script to your TradingView chart (works best on intraday timeframes like 5‑minute). 2. Configure Visuals • Use the Visual Controls panel to toggle features on/off. • Adjust the Label Transparency slider to dim or brighten the HH/HL/LL/LH labels. 3. Interpret Signals • Gold labels show when a sweep + ChoCh condition occurs. • Triangles mark potential reentry points (green = bullish, red = bearish). • HH/HL/LL/LH labels narrate market structure shifts for clarity. 4. Set Alerts • Use the built‑in alert conditions to get notified when bullish or bearish sweep reentry triggers fire. 👉 In short: this toolkit helps you spot liquidity sweeps, confirm with ChoCh, and visualize reentry signals, while also narrating market structure pivots. It’s modular, so you can toggle features depending on how much visual clutter you want. 🛠 Workflow Example 1. Setup • Apply the script to your chart (e.g., 5‑minute S&P futures). • In the indicator settings, decide which visuals you want: • Turn on Sweep + ChoCh labels if you want to see gold tags narrating liquidity events. • Keep Entry triangles on to highlight actionable reentry points. • Adjust the Label Transparency slider so HH/HL/LL/LH structure labels are dim enough not to clutter. 2. Watch for Sweeps • As price pushes above recent highs → a Buy‑side Sweep is detected. • As price dips below recent lows → a Sell‑side Sweep is detected. • If ChoCh logic is true at the same time, you’ll see a gold label (“BS Sweep + ChoCh” or “SS Sweep + ChoCh”). 3. Confirm Reentry • If conditions align (bullish candle + buy‑side sweep + ChoCh), you’ll see a green triangle below the bar. • If bearish candle + sell‑side sweep + ChoCh, you’ll see a red triangle above the bar. • These triangles are your potential reentry triggers. 4. Narrate Market Structure • HH/HL/LL/LH labels appear at pivots, giving you a running commentary of structure shifts. • Example: HH → HL → HH shows bullish continuation; LH → LL → LH shows bearish pressure. • Use the transparency slider to keep these labels subtle but visible. 5. Alerts • Set alerts for “Bullish Sweep Reentry” or “Bearish Sweep Reentry” so you don’t miss signals even if you’re away from the screen. 📘 How to Use in Practice • Intraday trading: On a 5‑minute chart, use the toolkit to spot liquidity grabs and confirm reentry points. • Narration: The HH/HL/LL/LH labels help you keep track of structure without manually marking pivots. • Decision making: Gold labels + triangles = potential trade setups. Structure labels = context for trend bias. • Customization: Dim labels when you want a cleaner chart, brighten them when you’re focused on structure. 👉 In short: this script gives you a modular toolkit — sweeps, ChoCh confirmation, reentry signals, and structure narration — all adjustable so you can tailor the visuals to your workflow. 📈 Bullish Scenario Walkthrough 1. Market Context • You’re watching the 5‑minute chart. • Price has been consolidating near recent highs, building liquidity above. 2. Liquidity Sweep • Price spikes above the prior swing high → the script detects a buy‑side sweep. • A gold label appears: “BS Sweep + ChoCh” (if your ChoCh condition is true). 3. Change of Character (ChoCh) • The candle closes bullish (). • Your ChoCh condition confirms a structural shift. • Together, sweep + ChoCh = potential reentry setup. 4. Reentry Trigger • The script plots a green triangle below the bar. • This marks a bullish sweep reentry signal: price grabbed liquidity and is now showing strength. 5. Market Structure Narration • At the same time, the HH/HL labels update: • The sweep bar prints a new HH. • The next pivot low prints an HL. • This narrates bullish continuation: HH → HL → HH. 6. Trade Decision • You can use the green triangle as your entry cue. • The HH/HL narration gives you confidence that structure supports the trade. • Alerts can be set so you don’t miss the trigger. 7. Risk Management • Stop placement: below the HL pivot or sweep low. • Target: next liquidity pool above, or measured move. 🧭 How to Use This in Practice • Gold label = liquidity event + ChoCh confirmation. • Green triangle = actionable bullish reentry trigger. • HH/HL narration = context for trend bias and trade management. • Transparency slider = keep structure labels subtle so the chart stays clean. 📉 Bearish Scenario Walkthrough 1. Market Context • You’re watching the 5‑minute chart. • Price has been consolidating near recent lows, building liquidity underneath. 2. Liquidity Sweep • Price spikes below the prior swing low → the script detects a sell‑side sweep. • A gold label appears: “SS Sweep + ChoCh” (if your ChoCh condition is true). 3. Change of Character (ChoCh) • The candle closes bearish (). • Your ChoCh condition confirms a structural shift. • Together, sweep + ChoCh = potential bearish reentry setup. 4. Reentry Trigger • The script plots a red triangle above the bar. • This marks a bearish sweep reentry signal: price grabbed liquidity below and is now showing weakness. 5. Market Structure Narration • At the same time, the LH/LL labels update: • The sweep bar prints a new LL. • The next pivot high prints a LH. • This narrates bearish continuation: LH → LL → LH. 6. Trade Decision • You can use the red triangle as your entry cue. • The LH/LL narration gives you confidence that structure supports the short. • Alerts can be set so you don’t miss the trigger. 7. Risk Management • Stop placement: above the LH pivot or sweep high. • Target: next liquidity pool below, or measured move. 🧭 How to Use This in Practice • Gold label = liquidity event + ChoCh confirmation. • Red triangle = actionable bearish reentry trigger. • LH/LL narration = context for trend bias and trade management. • Transparency slider = keep structure labels subtle so the chart stays clean.
Pine Script® indicator
by dscottmuller
BTC - Bitcoin Strategic Dashboard by RM Title: BTC - Bitcoin Strategic Dashboard | RM Overview & Philosophy The Bitcoin Strategic Dashboard is a comprehensive analytics tool designed to provide deeper market context beyond simple price action. While a standard chart displays price history, this dashboard focuses on the structural health of the market. It aims to answer clearer questions: Is the asset statistically overextended? Is the current volatility compressed or expanding? How is Bitcoin currently correlating with traditional equity markets? This script aggregates key data points—Performance, Risk, Valuation, and Macro Correlations—into a single, organized table. It is designed to be a quiet, high-density reference tool that sits unobtrusively in the corner of your screen, helping to contextualize daily price movements without cluttering your workspace. Methodology & Module Breakdown The dashboard is divided into 5 strategic modules. Here is exactly how to read them, how they are calculated, and how to interpret the data. 1. PERFORMANCE This section answers: "Is Bitcoin actually beating the traditional market, and by how much?" BTC Return : The raw percentage growth of Bitcoin. Timeframes: 1-Year (Tactical Trend) and 4-Year (The Halving Cycle). Alpha (vs SPX / Gold): Meaning : "Alpha" measures true outperformance. It tells you how much better your capital worked in Bitcoin compared to the S&P 500 (Stocks) or Gold. Calculation : We use a Relative Growth Ratio. Instead of simple subtraction, we calculate the growth factor of BTC divided by the growth factor of the Benchmark. Interpretation : Green: Bitcoin is outperforming. It is the superior vehicle for capital. Red: Bitcoin is underperforming traditional assets (Opportunity Cost is high). 2. RISK PROFILE This section answers: "How dangerous is the market right now?" Drawdown (DD): Meaning : The percentage loss from the 1-Year High. Interpretation : Deep Drawdowns (e.g., > -50%) historically signal generational buying opportunities (Deep Red). Small Drawdowns (< -5%) signal we are near "Discovery Mode" (Blue/Green). Sharpe Ratio: Meaning : The industry standard for "Risk-Adjusted Return." It asks: "Is the profit worth the stress?" Timeframe : Annualized over 365 Days. Interpretation : > 1.0: Good. The return justifies the risk. > 2.0: Excellent. (Dark Green). < 0.0: Bad. You are taking risk for negative returns. Sortino Ratio: Meaning : Similar to Sharpe, but it only counts downside volatility as "risk." Bitcoin often rallies aggressively (Good Volatility); Sortino ignores the upside "risk" and focuses only on minimizing losses. Volatility (Vol) & Rank: Meaning : How violently the price is moving. Calculation : We compare the current 30-Day Volatility against the last 4 Years of volatility history (Rank 0-100). Interpretation (The Squeeze Strategy) : BLUE (Cold / <25%): Volatility is historically low. The market is "compressed." Big moves often follow these periods. RED (Hot / >75%): Volatility is extreme. High risk of mean reversion or panic. 3. VALUATION & MOMENTUM This section answers: "Is Bitcoin cheap or expensive?" Mayer Multiple (MM): Meaning: A "Godfather" of Bitcoin ratios. Calculation : Current Price divided by the 200-Day Moving Average. Interpretation : < 0.8 (Blue): Historically "Cheap." 1.0: Fair Value (Price = Trend). > 2.4 (Red): Speculative Bubble territory. RSI (Relative Strength Index): Timeframe : 14 Days. Interpretation : >70 suggests the market is overheated (Red). <30 suggests oversold conditions (Blue). Trend (ADX) : Meaning : The Average Directional Index measures the strength of a trend, not the direction. Interpretation : Values >25 (Green) indicate a strong trend is present. Values <20 (Gray) indicate a choppy/sideways market (no trend). vs 200W (Macro): Meaning : The distance to the 200-Week Moving Average. Interpretation : This line is historically the "Cycle Bottom" or "Absolute Support" for Bitcoin. Being close to it (or below it) is rare and often marks cycle lows. 4. MACRO CORRELATIONS This section answers: "Is Bitcoin moving on its own, or just following the Stock Market?" vs TradFi (SPX): Timeframe : 90-Day Correlation Coefficient. Interpretation : High Positive (Red): BTC is just acting like a tech stock. No "Safe Haven" status. Negative/Zero (Green): BTC is "decoupled." It is moving independently of Wall Street. vs DXY (US Dollar): Interpretation : Bitcoin usually moves inverse to the Dollar. Negative (Green): Normal healthy behavior. Positive (Red): Warning signal. If both DXY and BTC rise, something is breaking in the system. 5. HISTORICAL LEDGER A Year-by-Year breakdown of returns. Feature : You can toggle the comparison column in the settings to compare Bitcoin against either S&P 500 or Gold. Usage : Helps visualize the cyclical nature of returns (e.g., the 4-year cycle pattern of Green-Green-Green-Red). How to Read the Visuals (Heatmap) The dashboard uses a standardized Bloomberg-style heatmap to let you assess the market state in milliseconds: 🟢 Green: Profit / Good Performance / Positive Alpha. 🔴 Red: Loss / Overheating / High Risk. 🔵 Blue: "Cold" / Cheap / Low Volatility (Potential Buy Zones). 🟠 Orange: Warning / High Drawdown. ⚫ Gray/Black: Neutral or Fair Value. Settings & Customization Visuals: Change the text size (Tiny, Small, Normal) to fit your screen resolution. Modules: You can toggle individual sections on/off to save screen space. Calculation: Switch the Historical Benchmark between "S&P 500" and "Gold" depending on your thesis. Disclaimer This script is for research and educational purposes only. The metrics provided (Sharpe, Sortino, Mayer Multiple) are derived from historical data and do not guarantee future performance. "Cheap" (Low Mayer Multiple) does not mean the price cannot go lower. Always manage your own risk. Tags bitcoin, btc, bloomberg, terminal, dashboard, onchain, mayer multiple, sharpe ratio, volatility, alpha, risk management, Rob Maths
Pine Script® indicator
by Rob_Maths
Kinetic RSI [Vel + Accel] + AlertsThe Problem with Standard RSI Most traders use the Relative Strength Index (RSI) to see if a market is "Overbought" (above 70) or "Oversold" (below 30). The problem? A strong trend can stay overbought for days, burning short sellers, or an asset can stay oversold while price continues to crash. Standard RSI tells you where the price is, but it doesn't tell you how hard it is moving. ​The Solution: Kinetic RSI This script reimagines RSI by applying basic physics concepts: Velocity and Acceleration. Instead of asking "Is RSI below 30?", this indicator asks: "Is RSI below 35 AND did it just make a violent, high-speed turn upwards?" ​It filters out lazy, drifting price action and only signals when momentum is accelerating in a new direction. ​How It Works (The Math) ​Velocity: We calculate the speed of the RSI change (Current RSI - Previous RSI). ​Acceleration: We calculate if that speed is increasing (Current Velocity - Previous Velocity). ​The Trigger: A signal is only generated if the RSI is in an extreme zone (<35 or >65) AND it has high Velocity AND positive Acceleration. ​How to Trade It ​1. The "Kick" Signals (Background Highlights) ​🟢 Green Background (Bullish Kick): The RSI was low, but buyers stepped in aggressively. The momentum is not just positive; it is accelerating upward. This is often a "V-Bottom" catch. ​🔴 Red Background (Bearish Kick): The RSI was high, but sellers slammed the price down. Momentum is accelerating downward. ​2. The Line Color ​Lime Line: Velocity is positive (Momentum is rising). ​Fuchsia Line: Velocity is negative (Momentum is falling). ​Usage: If the background flashes Green (Buy Signal), but the line turns back to Fuchsia (Red) a few bars later, the move has failed—exit the trade. ​Settings & Alerts ​RSI Length: Standard 14 (Adjustable). ​Velocity Threshold: Controls sensitivity. ​Lower (e.g., 2-3): More signals, catches smaller reversals. ​Higher (e.g., 5+): Fewer signals, catches only massive "shocks" to the price. ​Alerts Included: You can set alerts for "Bullish Kick," "Bearish Kick," or "Any Kick" to get notified of volatility spikes. ​Best Practices ​Wait for the Close: This indicator measures the closing velocity. Always wait for the bar to close to confirm the background color signal. ​Trend Filtering: This works best as a "Reversal" indicator. If the market is in a super-strong uptrend, ignore the Bearish (Red) signals and only take the Bullish (Green) dips.
Pine Script® indicator
by MonkeyPhone