지금 시작

밴드 및 채널

Checklist DisorderChecklist Disorder is a confirmation checklist indicator designed for Forex trading. It provides a structured, visual framework to validate trade setups across multiple timeframes by tracking session bias, higher- and lower-timeframe directional alignment, Fibonacci zone confluence, and overall market structure or schema. The indicator helps traders enforce discipline, reduce impulsive decisions, and ensure that all required conditions are met before executing a trade, making it especially useful for backtesting, replay analysis, and live execution workflows. If you want it more aggressive, more institutional, or more educational, tell me the vibe and I tune it.
Pine Script® 인디케이터
gato_boina의
Intraday Levels ProIntraday Levels (IDLevels) — View‑Safe Session Levels (v6) Intraday Levels is a lightweight, view‑safe session levels indicator that plots the most important intraday reference prices without spamming labels or cluttering your chart. Every level is drawn as one persistent line + one persistent label, updated in real time as the session develops. What it plots Intraday Sessions Premarket High / Low (PMH / PML) Regular Session (RTH) Day High / Low (DH / DL) Afterhours High / Low (AHH / AHL) Prior Day Levels (Optional) Previous Day High / Low (PDH / PDL) Previous Day Close (PDC) 2 Days Ago High / Low (PDH2 / PDL2) Weekly Levels Week High / Low (WH / WL) Previous Week High / Low (PWH / PWL) Built for “View‑Safe” charts (no label spam) This script updates the same objects instead of creating new ones every bar: ✅ One label per level (updated in place) ✅ One line per level (updated in place) ✅ No repeated labels stacking on the right side of the chart Display Modes Choose how levels behave across the chart: 1) Today only Levels extend to the right, anchored to the current day/session 2) Most recent across chart Levels extend across the full chart (great for quick context) Labels & Styling Toggle lines on/off Toggle labels on/off Toggle price on labels (e.g., PMH 7027.25) Choose Short names (PMH/PDH/etc.) or Full names (Premarket High/Prev Day High/etc.) Adjustable label size + label offset Style controls for intraday/prior/weekly lines (solid/dashed/dotted) Optional Force Dotted mode to make everything dotted quickly Premarket data handling (QQQ / SPY / Futures friendly) If your symbol doesn’t provide reliable Premarket data (or you are on a feed/session without PM candles), there’s an optional fallback: PM Proxy Toggle If no Premarket session exists, the script can use the first X minutes of RTH as a Premarket proxy range. Notes Session times are exchange‑time based using TradingView session inputs. Intended for intraday traders who want clean, high-signal levels without chart compression or label clutter.
Pine Script® 인디케이터
chandranewagetrader의
WaveTrend with Crosses + AlertsWaveTrend with Crosses + Alerts This is a clean WaveTrend oscillator based on the original LazyBear WaveTrend with Crosses, with one key upgrade: built-in alerts for the cross dots (green/red). What it shows WT1 (green) and WT2 (red) WaveTrend lines The WT1–WT2 spread as a blue area (helps visualize momentum swings) Cross dots printed when WT1 crosses WT2: Green dot = WT1 crosses up over WT2 (bullish cross) Red dot = WT1 crosses down under WT2 (bearish cross) Overbought / oversold guide levels: OB1 / OB2 (default: 60 / 53) OS1 / OS2 (default: -60 / -53) Alerts (new) You can create TradingView alerts directly from the indicator: WT Green Dot (Bullish Cross) → triggers when the green dot prints (WT1 crosses up WT2) WT Red Dot (Bearish Cross) → triggers when the red dot prints (WT1 crosses down WT2) How traders commonly use it Trend / momentum timing: Cross dots can help time momentum shifts. Higher quality signals: Many traders prefer bullish crosses occurring near/under the oversold zones and bearish crosses near/above overbought zones. Confirmation: Combine with structure, trend filter, or higher timeframe bias for cleaner entries. Default settings This script ships with commonly used defaults: Channel Length: 9 Average Length: 12 OB/OS levels: 60 / 53 / -60 / -53
Pine Script® 인디케이터
d_jaeger의
Ripster RVOL Saty ATR Levels v6 - NewRipster RVOL Saty ATR Levels v6 is a clean, options-focused dashboard that combines Ripster multi-timeframe trend bias, real-time RVOL analysis, and the Saty ATR framework into a single, readable on-chart layout. This version introduces view-safe controls to keep charts readable on lower timeframes while preserving higher-timeframe context. What this script shows 1) Ripster Multi-Timeframe Bias (LT Panel) Displays bullish/bearish bias from higher-timeframe Ripster EMA clouds: 1H Daily (two EMA sets) Weekly (5/12 and 34/50) Helps align intraday trades with higher-timeframe structure. 2) Short-Term Price Action (ST Panel) Uses Ripster clouds (34/50 and 5/12) to show short-term direction. Optional setting to calculate ST signals on 10-minute data, regardless of chart timeframe. 3) RVOL Panel Current candle volume (clean, formatted) RVOL Now (%) RVOL Previous (%) Color-coded thresholds to quickly identify abnormal volume. 4) Saty ATR Levels (Table) Displays: Period range vs ATR % Upper / lower trigger levels ±1 ATR reference levels Optional Calls / Puts labeling for options traders. Designed for context, not clutter. 5) Optional Saty ATR Level Lines Stepline plots for: Previous close Upper / lower trigger ±1 ATR Optional ±2 ATR extensions View-Safe Enhancements (v6) To prevent candle compression on small intraday timeframes, this version adds smart visual controls: “Show Saty ATR lines only on TF ≥ 30m” (recommended) When enabled, Saty ATR plot lines are automatically hidden below 30-minute charts. The Saty table remains visible, so information is never lost. Auto-disable ±2 ATR extensions on low TFs Reduces autoscale distortion from far-away levels. Status label anchored in-range Prevents y-axis stretching caused by labels plotted far from price. These changes keep execution charts clean while preserving higher-timeframe structure. Presets Options Scalper – Clean, focused view for fast decisions Options Swing – Full context with ATR extensions (30m+ recommended) 0DTE Only – Compact intraday layout with RVOL and bias A master toggle allows you to quickly enable or disable the entire dashboard. Best Use Cases Intraday / Scalping: Use ST + RVOL + Saty table without line clutter Options Trading: Fast ATR context with Calls/Puts framing Swing Trading: Enable ATR plots on 30m+ for structure and targets Notes ATR plot lines are intentionally limited on lower timeframes to avoid chart compression. If you prefer seeing all ATR lines on low TFs, simply disable the ≥30m toggle (not recommended for readability). Works best on liquid tickers with reliable extended-hours data.
Pine Script® 인디케이터
chandranewagetrader의
PoW Floor OscillatorThis model was proposed by @paulewaulpaul as an attempt to model the cost of BTC production using Difficulty (input) and Issuance (output) as the key parameters. The following is paraphrased from the original research piece: Difficulty D is taken as the estimated number of hashes required to mine a block (denoted in raw hashes). This is proportional to the energy consumption and the energy efficiency and reflects the demand. We use difficulty to estimate production costs. As mining becomes more efficient over time, hash rate becomes cheaper. Therefore we add a damping coefficient k and a scaling factor a (the cost per unit of adjusted difficulty). To get the value per coin, we divide by the issuance I. We get the values for a and k by fitting the function to price. For this we use the lows of the last two halving cycles, deep in the bear market when only the most efficient mining was profitable. The PoW Floor Model is thus calculated as follows: PoW Floor Pricing Model = 2/3 * (sma(D,180)^0.41 / sum(I,180)) The damping coefficient is k = 0.41 and scaling factor a = 2/3. Statistically, this means that doubling the difficulty increases the estimated production cost by ~33%. We use a moving average for the difficulty and look at a 180 day period. For the upper bands we use the 1.41 and 2 multiples where the factor of 2 estimates the cost of production after the next halving event (assuming constant difficulty). Coined By kuntah in Bitcoin: Difficulty per Issuance - A PoW Pricing Model, Oct 2022
Pine Script® 인디케이터
M48384의
PoW Floor Pricing ModelThis model was proposed by @paulewaulpaul as an attempt to model the cost of BTC production using Difficulty (input) and Issuance (output) as the key parameters. The following is paraphrased from the original research piece: Difficulty D is taken as the estimated number of hashes required to mine a block (denoted in raw hashes). This is proportional to the energy consumption and the energy efficiency and reflects the demand. We use difficulty to estimate production costs. As mining becomes more efficient over time, hash rate becomes cheaper. Therefore we add a damping coefficient k and a scaling factor a (the cost per unit of adjusted difficulty). To get the value per coin, we divide by the issuance I. We get the values for a and k by fitting the function to price. For this we use the lows of the last two halving cycles, deep in the bear market when only the most efficient mining was profitable. The PoW Floor Model is thus calculated as follows: PoW Floor Pricing Model = 2/3 * (sma(D,180)^0.41 / sum(I,180)) The damping coefficient is k = 0.41 and scaling factor a = 2/3. Statistically, this means that doubling the difficulty increases the estimated production cost by ~33%. We use a moving average for the difficulty and look at a 180 day period. For the upper bands we use the 1.41 and 2 multiples where the factor of 2 estimates the cost of production after the next halving event (assuming constant difficulty). Coined By kuntah in Bitcoin: Difficulty per Issuance - A PoW Pricing Model, Oct 2022
Pine Script® 인디케이터
M48384의
MTF Std Dev Regression ChannelsMulti-Timeframe Linear Regression Channel with Price Labels Displays linear regression channels from a higher timeframe (default 1-hour) on your current chart. Uses the same calculation method as thinkorswim's standard deviation channels. Features: Smooth diagonal channel lines (not stepped) from HTF data Configurable lookback length and source timeframe Shows ±0.5σ, ±1σ, ±1.5σ, ±2σ, ±2.5σ, and ±3σ levels Price axis labels for whole number sigma levels (±1σ, ±2σ, ±3σ) Chart labels for all levels with 5-bar offset Line extension options (Right, Left, Both, None) Fully customizable colors Perfect for traders who want to monitor higher timeframe regression channels while trading on lower timeframes.
Pine Script® 인디케이터
backflip89의
Recursive Least Squares Forecast [LuxAlgo]The Recursive Least Squares Forecast indicator uses an adaptive linear regression algorithm to estimate price trends in real-time, projecting future movements via a "Ghost Line" and providing dynamic bands and mean reversion signals for identifying market extremes. By continuously updating its internal model with every new bar, the script provides a highly responsive framework for both trend forecasting and volatility-adjusted trading. 🔶 USAGE The indicator aims to identify trend direction and potential exhaustion points. The central RLS mean line represents the current equilibrium price based on the adaptive model, while the bands represent volatility-adjusted extremes. Users can utilize the tool for both trend following and mean reversion strategies: Trend Following: Observe the slope and direction of the RLS Mean and the "Ghost Line" projection to determine the prevailing market bias. Mean Reversion: Use the dynamic bands to identify when price has deviated significantly from its adaptive equilibrium. Responsiveness: Adjust the Forgetting Factor (λ) to control the model's memory. A lower value (e.g., 0.95) makes the model react quickly to new price pivots, while a higher value (e.g., 0.99) provides a smoother, more stable trend line. 🔹 Mean Reversion Signals The indicator identifies mean reversion opportunities using a two-step process: Overextension: A setup begins when the price crosses outside the Upper or Lower Band, indicating an overbought or oversold state. Entry Signal: A "BUY" or "SELL" signal is triggered when the price crosses back inside the band, suggesting a return to the RLS mean. Targets: The RLS mean line serves as the primary take-profit target for these mean reversion setups. 🔶 DETAILS The model assumes a linear relationship where the intercept and slope are updated recursively. The RLS algorithm is an adaptive filter that effectively "learns" the trend at every bar. It uses a state-space approach where the transition matrix is updated using a gain vector, ensuring the most efficient estimate of the current trend trajectory. Unlike standard Moving Averages, the Recursive Least Squares (RLS) algorithm minimizes the sum of squared prediction errors by giving more weight to recent data. This allows the mean line to pivot quickly when market conditions change without the lag associated with traditional smoothing techniques. The "Ghost Line" extends from the last bar into the future, providing a linear projection of where the current trend is headed. Surrounding this projection are "Standard Deviation Forecast Bands," which indicate the expected range of price movement based on the current model state. 🔶 SETTINGS Forgetting Factor (λ): Controls how quickly the model forgets old data. Values closer to 1.0 make the model stable, while lower values make it more adaptive to recent price changes. Band Multiplier: Standard deviation multiplier for the forecast bands, controlling the width of the mean reversion zones. Forecast Horizon: Number of bars to project the "Ghost Line" and uncertainty bands into the future. Show Ghost Line & Bands: Toggles the visibility of the future projection polylines. Show Mean Reversion Signals: Toggles the visibility of the BUY/SELL labels on the chart.
Pine Script® 인디케이터
LuxAlgo의
5
TS Pressure OscillatorThis indicator is a TS Pressure Oscillator. Its job is to turn a lot of small “TS events” (liquidity sweeps + rejection) into a single, easy-to-read curve that helps you spot short-term exhaustion and possible trend shifts. What it detects (TS events) A “TS” here means a candle that: briefly breaks the previous candle’s high and then closes back below it (bearish rejection), or briefly breaks the previous candle’s low and then closes back above it (bullish rejection). In simple words: price tried to continue, failed, and got rejected. What the oscillator measures Instead of counting every TS equally, this version gives each event a score based on its quality: Wick size vs ATR (how meaningful the sweep was) Body size vs ATR (how strong the rejection candle was) Then it filters events by context: bearish TS only matter most near the top of a recent range bullish TS only matter most near the bottom of a recent range After that, it combines multiple timeframes (M15 / M5 / M1) into one curve: If bearish TS pressure dominates, the oscillator tends to move up (more rejection from above). If bullish TS pressure dominates, the oscillator tends to move down (more rejection from below). Why there are two lines (Main vs EMA) Main line shows the current pressure. EMA line is the smoothed version (the “trend” of the pressure). The gap between them is useful: when the Main line pulls away from the EMA, it often means pressure is accelerating. The most important part: parameters This indicator is only as good as its tuning. The key settings control what it considers “relevant” TS events: Zone lookback (HH/LL): defines what “top” and “bottom” mean Zone thresholds (zoneHi / zoneLo): how strict the “extreme area” filter is Window lengths per timeframe: how much history you’re measuring ATR length + caps: how sensitive the scoring is Baseline: prevents the oscillator from sticking at extremes If your parameters are too loose, you’ll get noise. If they’re too strict, you’ll miss opportunities. Dialing them in for each asset/session is the difference between a “nice curve” and a useful signal. If you want, tell me the asset (e.g., XAUUSD) and your main chart timeframe, and I’ll suggest a solid starting preset for the parameters.
Pine Script® 인디케이터
Fran_Pineda의
Multi Basis Bollinger Bands ProMulti Basis Bollinger Bands Pro is a volatility and trend-focused indicator using multiple Bollinger Bands with customizable moving average types (SMA, EMA, WMA) and sources. Trend bias is determined by the SMA 20 on higher timeframes (H1, H4, Daily). High-source bands (BB1 & BB2) are used for BUY signals when price touches their lower gap. Low-source bands (BB3 & BB4) are used for SELL signals when price touches their upper gap. Both upper and lower band gaps are highlighted with configurable green/red fills for clear visual zones. Includes a standard Bollinger Band reference for context. This strategy helps traders align entries with higher timeframe trends, filter trades, and visually spot volatility extremes and breakout zones.
Pine Script® 인디케이터
Williamhwl의
1
Liquidity Depth Indicator [BigBeluga]🔵 OVERVIEW Liquidity Depth Indicator visualizes the distribution, balance, and depth of liquidity within a selected lookback window. It builds a full liquidity profile by scanning how often price interacted with each price level, generating cumulative buy-side and sell-side curves, heatmap intensity zones, and a clear Point of Control (PoC). This provides a deep structural view of where liquidity sits, how it’s stacked, and which side of the market dominates. 🔵 CONCEPTS Liquidity Binning — The full range (High → Low) over the lookback window is divided into 100 micro-price zones. Each candle contributes its volume into the bin closest to its close. Buy/Sell Side Split — • Zones above the midpoint = potential sell-side liquidity concentration. • Zones below midpoint = potential buy-side liquidity concentration. Cumulative Liquidity Curves — Each side builds a flowing curve showing how liquidity stacks from mid toward extremes. Liquidity Heatmap — Highlights volume density at each price level using color intensity for easy visual analysis. Point of Control — The price level with the highest liquidity accumulation (max volume bin). 🔵 FEATURES 100-Level Volume Distribution — Scans all candles inside the lookback period and assigns each close to the nearest bin. Sell-Side Depth Curve — Plotted above the midpoint, showing how sell liquidity increases as price moves toward the top of the range. Buy-Side Depth Curve — Plotted below the midpoint, showing how buy liquidity builds toward the bottom of the range. Volume Labels — Displays total buy-side and sell-side volume at curve peaks. Mid-Range Liquidity Split — Calculates: • Buy-side liquidity % • Sell-side liquidity % Displayed in two vertical boxes next to the profile. Liquidity Heatmap Overlay — Color-coded price strips showing where largest clusters sit: • Above midpoint → Sell zones • Below midpoint → Buy zones PoC Detection — Draws the strongest liquidity level with a bold line and prints its relative volume. Range Frame Lines — High, Low, and Mid lines are plotted to define the liquidity environment. Auto-Cleanup & Rebuild — All curves, boxes, and heatmap segments are refreshed each bar using barstate.islast. 🔵 HOW IT WORKS 1. Determines High, Low, and Mid over the lookback window. 2. Divides the range into 100 bins based on linear spacing. 3. Accumulates volume per bin depending on where each candle’s close lands. 4. Builds total, buy-side, and sell-side cumulative curves . 5. Colors the heatmap based on normalized volume per bin. 6. Locates PoC — the bin with maximum volume. 7. Creates buy/sell percentage distribution boxes . 🔵 HOW TO USE Identify Liquidity Imbalance — Compare the buy vs sell percentage boxes to see which side dominates. Spot Strong Liquidity Walls — Thick portions of cumulative curves represent areas price may reject. Read PoC as a Magnet — Price often gravitates toward the PoC or reacts strongly once reached. Evaluate Breakout Strength — If liquidity is concentrated at extremes, a breakout may face strong absorption. Use Heatmap as Hidden S/R — The brightest zones frequently act as hidden support/resistance. Detect Exhaustion Areas — If a curve sharply thins near highs or lows, the trend may weaken. 🔵 CONCLUSION Liquidity Depth Indicator is a powerful microstructure tool that reveals where liquidity is stacked within a price range. By combining cumulative curves, heat mapping, and PoC identification, it exposes both visible and hidden liquidity layers — helping traders spot absorption zones, reversal clusters, liquidity pools, and trend exhaustion areas with high clarity.
Pine Script® 인디케이터
BigBeluga의
3