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SENTINEL CANVAS | ANONYCRYPTOUSSentinel Canvas | Anonycryptous Complete Description & User Manual Pine Script v6 · TradingView ═══════════════════════════════════════ Important note, read first! Sentinel Canvas does not generate trading signals in the traditional sense. It does not tell you when to buy or sell. It does not predict market direction. It does not replace your own technical analysis or strategy. All references to possible entries, stop-loss levels, or targets in this manual are purely illustrative examples of how the indicator can be read. They are not trading recommendations. Always conduct your own research and consult a qualified financial advisor before making any trading decisions. ═══════════════════════════════════════ 1. Overview Sentinel Canvas is a comprehensive market context indicator built for traders who want everything they need to read the market on a single chart — without running five separate indicators. Before placing a trade, you need to understand the environment. What session are you in? Where is the macro trend? Is volume confirming the move? Where are the key levels? Are there open imbalances nearby? What is the daily range usage? Sentinel Canvas answers all of these questions simultaneously, combining six independent analysis frameworks into one unified indicator with a clean dashboard, full color customization, and preset configurations for specific trading styles. The indicator brings together: - A five-EMA suite with adaptive cloud - EMA crossover trend signals with candle coloring - Stochastic RSI background alerts - PVSRA volume vector candle analysis with zone tracking - Eight global market sessions with DST awareness - Average Daily, Weekly and Monthly Range levels - Classic pivot points with M levels - Daily open reference - Fair Value Gap detection with Consequent Encroachment lines - Weekly psychological level tracking - A live dashboard with fourteen data points ═══════════════════════════════════════ 2. Core Concepts 2.1 EMA Suite — The Trend Backbone Five exponential moving averages plotted simultaneously: 5, 13, 50, 200, and 800. These cover short-term momentum, medium-term trend, macro trend, and long-term structural bias. The 50 EMA is wrapped in a dynamic cloud calculated using two standard deviations of price — the cloud expands during volatility and contracts during consolidation. A widening cloud signals active price discovery. A thinning cloud signals equilibrium. The EMA 200 is the primary macro bias filter. Price above the 200 is a bullish environment. Price below is bearish. 2.2 EMA Cross — Macro Trend Direction Tracks a fast EMA crossing a slow EMA and produces bull and bear signals on the crossover bar. All subsequent candles continue in that color until the opposite cross fires. This is a trend state indicator, not a trade signal. Three display modes are available: show both EMAs, consolidated single line, or hidden with signals only. 2.3 Stochastic RSI — Momentum State Runs a standard Stochastic RSI calculation and produces background color alerts based on crossover conditions at configurable band levels. Four alert types: - Middle band crossover (K crosses D near the 50 level) - OB/OS crossover (K crosses D from overbought or oversold) - K crosses above upper band (entering overbought) - K crosses below lower band (entering oversold) The dashboard shows the current Stoch RSI state at a glance. 2.4 PVSRA — Volume Vector Analysis Colors candles based on volume relative to the 10-bar average and the relationship between volume and candle spread. Four vector types: - Green vector: bull bar with volume ≥ 200% of 10-bar average, or volume × spread ≥ highest of 10 bars. Strong bullish institutional activity. - Red vector: same conditions on a bear bar. Strong bearish activity. - Blue vector: bull bar with volume ≥ 150% of 10-bar average. Elevated bullish volume. - Violet vector: same conditions on a bear bar. Elevated bearish volume. - Grey: no vector conditions met. Vector Candle Zones draw boxes at each vector candle and track them until price moves through the zone — marking areas where institutional activity was detected. The PVSRA override allows using a different symbol for volume calculation — useful when the charted instrument has unreliable volume data. 2.5 Market Sessions Eight global market sessions tracked simultaneously, each with DST awareness: London (08:00–16:30 UTC) New York (14:30–21:00 UTC) Tokyo (00:00–06:00 UTC) Hong Kong (01:30–08:00 UTC) Sydney (22:00–06:00 UTC) EU Brinks (08:00–09:00 UTC) — London open spike window US Brinks (14:00–15:00 UTC) — NY pre-open window Frankfurt (07:00–16:30 UTC) Each session draws a live expanding box with H/L lines. A session label appears above the high and tracks it in real time. DST is tracked for London, New York, and Sydney automatically — no manual adjustment needed. 2.6 Range Levels — ADR / AWR / AMR Three range frameworks: ADR — Average Daily Range. The expected high and low for today based on the average daily range over N days. Price reaching the ADR high or low indicates the day's expected range has been fulfilled. Further moves beyond ADR are extension moves. AWR — Average Weekly Range. Same concept applied to the weekly timeframe. AMR — Average Monthly Range. Same concept applied to the monthly timeframe. Each framework has a 50% variant that draws the midpoint between the high and low levels — useful as an intra-range equilibrium reference. The Measure from Daily Open option for ADR calculates the range starting from the daily open price, making the levels static for the entire day. The dashboard shows ADR % used — how much of today's expected range has already been consumed. Above 80% signals the day is near its expected limit. Below 50% means there is statistical room to move. 2.7 Pivot Points Classic pivot points are calculated from the previous session's H/L/C and plotted as reference levels: PP, R1/S1, R2/S2, R3/S3, and M (midpoint) levels. All individually toggleable with customizable colors and styles. 2.8 Fair Value Gaps A Fair Value Gap is a three-candle pattern where there is a price gap leaving one candle untested. These gaps represent imbalances where price moved too fast for two-sided trading to occur. Sentinel Canvas draws FVG boxes in real time and tracks them until partial or full mitigation. A Consequent Encroachment line marks the midpoint of each gap. Mitigate to CE mode removes the box when price touches the CE midpoint rather than waiting for a full fill. 2.9 Weekly Psychological Levels Weekly Psy Levels track the prior week's high and low as psychological reference points. These are areas where price often reacts on approach. Type detection is automatic based on the instrument — crypto or forex — or can be overridden manually. ═══════════════════════════════════════ 3. Presets Clean Scalper — essentials only for fast timeframes Full Context — everything enabled for pre-session analysis PVSRA Pro — volume vector analysis as primary focus Signal Focus — EMA cross signals with minimal background noise Minimal — clean chart with macro bias only Custom — full manual control ═══════════════════════════════════════ 4. Settings Reference 4.1 EMA Suite Show EMA Suite | Lengths: 5, 13, 50, 200, 800 (configurable) Cloud toggle with transparency | Individual EMA color control Master opacity offset (Custom preset only) 4.2 EMA Cross Show EMA Cross | Fast and Slow EMA lengths Show Mode: both / consolidated / off Show Signals | Show Labels Bull/Bear colors and transparency 4.3 Stochastic RSI Show Stoch RSI alerts | RSI and Stoch lengths OB/OS band levels | Individual alert type toggles Alert colors and transparency 4.4 PVSRA Show PVSRA | Average length Override Symbol toggle and input Show Vector Candle Zones | Zone transparency Individual vector type colors 4.5 Candle Coloring Mode Options: EMA Cross / PVSRA / EMA 200 / Off Bull/Bear candle color and transparency 4.6 Market Sessions Show Market Sessions | Session Timezone Show on Weekends Session H/L line style and width Per session: show toggle, box color + transparency, label color 4.7 Range Levels Show ADR / AWR / AMR (individual toggles) ADR/AWR/AMR length (lookback periods) Show 50% midpoint levels Measure from Daily Open (ADR only) Color, transparency, line width, line style, show labels 4.8 Pivot Points Show Pivot Point / R1S1 / R2S2 / R3S3 / M Levels Show Labels | Extend Lines Both Directions PP / R Level / S Level / M Level color, transparency, line style 4.9 Daily Open Show Daily Open | Show Label Show Historical Daily Opens Color, transparency, line width 4.10 Fair Value Gaps Show FVGs | Lookback Days Show Bullish FVGs / Bearish FVGs (individual toggles with color) Show CE Line | Mitigate to CE | Use candle bodies for mitigation Delete filled boxes 4.11 Psy Levels Show Psy Levels | Show Labels | Show Historical Psy Levels Psy High/Low color and transparency Override Psy Type | Type: Crypto / Forex 4.12 DST Info Show DST Info Table | Position | Colors 4.13 Dashboard Show Dashboard | Position | Size ═══════════════════════════════════════ 5. How to Use — Step by Step 5.1 Initial Setup 1. Select your preset based on your primary trading style. 2. Set session timezone to match your location or exchange. 3. If you use PVSRA and your instrument has unreliable volume, enable the override symbol and set it to an appropriate correlated instrument. 4. Set ADR Length to your preference. 14 days is standard. 5. If using FVGs, set Lookback Days to match your trading window. 7 days for intraday. 14–21 for swing contexts. 5.2 Reading the Chart Start with the dashboard. It tells you the session, trend direction, EMA 200 position, Stoch RSI state, PVSRA candle type, ADR usage, open FVG count, Psy level position, and daily open reference — all at a glance without scanning the chart. Check EMA alignment. Are the 13, 50, and 200 stacked in the same direction? Stacked alignment is stronger than a single cross. Check ADR %. Below 50% means the day has statistical room to move. Above 80% means extension is likely happening and mean reversion risk is elevated. Look for open FVGs near current price. An unmitigated FVG in the direction of the trend is a possible precision entry zone. Check the Psy Level. If price is testing the prior week's high or low, be aware of possible reaction at these psychological references. 5.3 Possible Long Setup — Educational Example Illustrative only. Not a trading recommendation. 1. Dashboard shows EMA 200 above, EMA cross bullish, Stoch RSI oversold, session London, ADR 32% used. 2. Price is above EMA 200 with a bullish EMA cross. Stoch RSI is oversold — a possible bounce setup is developing. 3. A green PVSRA vector candle fires at a prior bullish FVG zone. 4. Price wicks into the FVG. The box shrinks showing the CE line. Price bounces from the CE level. 5. A possible long entry could be considered at the CE bounce. A possible stop could be placed below the full FVG. A possible target could be the daily pivot PP or ADR high level. 5.4 Possible Short Setup — Educational Example Illustrative only. Not a trading recommendation. 1. Dashboard shows EMA 200 below, EMA cross bearish, Stoch RSI overbought, session New York, ADR 45% used. 2. Price is below EMA 200 with a bearish EMA cross. Stoch RSI is overbought — a possible pullback setup is developing. 3. A red PVSRA vector candle fires as price tests a bearish FVG from below. 4. Price enters the FVG and touches the CE line. The box shrinks. Stoch RSI begins crossing down from overbought. 5. A possible short entry could be considered at the CE rejection. A possible stop could be placed above the full FVG top. A possible target could be the ADR low or S1 pivot level. ═══════════════════════════════════════ 6. Tips & Best Practices Timeframe guide: - 1m–3m: Clean Scalper preset | Candle Mode: EMA Cross - 5m–15m: Clean Scalper or Signal Focus - 30m–1H: Full Context | Use ADR + Pivots - 4H–Daily: Full Context or Minimal Session timezone: set to your local timezone and all session times adjust automatically. No manual offset required. PVSRA override: use when your broker's volume data is unreliable or aggregated, when you trade a CFD or derivative with synthetic volume, or when you want spot market volume for a futures chart. FVG settings: - Intraday scalping (1m–5m): Lookback 3–5 days. CE mode on. - Intraday swing (15m–1H): Lookback 7–14 days. - Higher timeframe (4H+): Lookback 30 days. Master opacity offset (Custom preset): add +10 to +20 to dim the chart if it feels cluttered. Subtract −10 to −20 to brighten. This affects all elements simultaneously without touching individual settings. ADR % as a session filter: check before every entry. Below 30% means significant range potential remains. 30–70% is normal consumption. Above 80% — be cautious with trend-following entries, mean reversion setups become more probable. Not every element is needed at once. Sentinel Canvas is a complete toolkit, not a requirement to use everything simultaneously. Most traders will find 3–4 elements provide the context they need. ═══════════════════════════════════════ Educational purpose only. Sentinel Canvas and all content in this manual are provided for educational and informational purposes only. Nothing in this document constitutes financial advice, investment advice, or any trading recommendation. Trading financial instruments involves substantial risk of loss. Past performance of any indicator is not indicative of future results. Always conduct your own independent research before making any trading or investment decisions. Anonycryptous accepts no responsibility or liability for any losses incurred as a result of using this indicator. ═══════════════════════════════════════ Sentinel Canvas | Anonycryptous · v1.0 © 2026 Anonycryptous. All rights reserved.
Penunjuk Pine Script®
oleh Anonycryptous
AG Pro Stochastic Exhaustion Map [AGPro Series]AG Pro Stochastic Exhaustion Map OVERVIEW AG Pro Stochastic Exhaustion Map is not designed as a classic overbought / oversold reversal script. This tool uses a stochastic framework to map trend maturity, extension pressure, momentum fatigue, and reset behavior. The objective is not to label every extreme reading as a turning point. Instead, the script is built to show whether a move still looks fresh, whether it is becoming stretched, whether exhaustion risk is increasing, or whether the market is moving through a reset phase after an extended run. That distinction is important. In strong trends, stochastic values can remain elevated or depressed for long periods. This script does not assume that an extreme reading automatically means the move should reverse. It treats those conditions as contextual information and then evaluates whether the move still has healthy drive, whether it is becoming late-stage, or whether the structure is normalizing. The result is a state-based reading model rather than a basic signal-only oscillator. The emphasis is on chart context, trend maturity, and fatigue mapping. WHAT THIS SCRIPT DOES This script organizes stochastic behavior into a compact state model built around five practical conditions: • Build-Up • Drive • Stretch • Exhaustion Risk • Reset These states are not intended to predict exact tops or bottoms. They are designed to help the user evaluate where the current move may sit within its broader development cycle. In practical terms, the script focuses on questions such as: • Is the move still behaving like an active and healthy expansion? • Has the move become stretched? • Is momentum support beginning to weaken? • Has the market started to normalize after an extended push? • Is current behavior better described as continuation pressure or late-stage fatigue? That is the core purpose of the indicator. UNIQUE EDGE The unique edge of this script is that it does not reduce stochastic analysis to simple line crosses or fixed threshold reactions. Instead of treating the oscillator as a binary overbought / oversold tool, the script uses it as a context engine for reading trend fatigue. The internal logic emphasizes four broad components: 1) Persistence in extreme zones How long the oscillator remains in an extended area matters. Persistence alone is not treated as a reversal condition, but prolonged persistence can indicate that a move is progressing into a more mature phase. 2) Momentum decay A move can remain extended while its internal strength starts to weaken. The script evaluates whether the oscillator is still advancing with conviction or whether follow-through is becoming less efficient. 3) Push efficiency Price can continue expanding while oscillator quality becomes less supportive. That mismatch can be relevant when assessing whether the move still looks healthy or whether it is becoming increasingly vulnerable to a reset. 4) Reset behavior After extended conditions, the market often goes through a normalization phase. The script attempts to identify when that process is occurring so the user can distinguish late-move fatigue from post-extension reset behavior. Together, these components form a stochastic-based exhaustion map instead of a traditional threshold trigger script. HOW IT WORKS The script begins with a smoothed stochastic structure and then builds a higher-level state model on top of it. The model evaluates: • extreme-zone persistence • directional decay in stochastic slope • push-efficiency deterioration • reset-zone normalization Those components are blended into an Exhaustion Score, which is then interpreted through the state engine. The state engine classifies the current condition as one of the following: Build-Up An early or re-engaging phase where activity is present but extension pressure is still relatively modest. Drive An active expansion phase where the move still appears supported and not yet meaningfully fatigued. Stretch A more mature condition where extension is becoming more visible and the move should be read with greater caution. Exhaustion Risk A late-stage condition where extension and internal weakening combine strongly enough to raise fatigue risk. Reset A normalization phase following recent extreme behavior, where the market is no longer best described as active drive or rising exhaustion. This is why the script should be read as a contextual map rather than a standalone trade-decision engine. SUMMARY PANEL The panel is designed to keep the reading compact and practical. It includes: • current state • directional bias • exhaustion score • persistence profile • decay profile • reset quality • context label The panel is not intended to replace chart reading. It is there to summarize the current exhaustion model in a clean format. HOW TO INTERPRET THE STATES Build-Up Early participation or reactivation. The move is not yet heavily stretched. Drive The move appears active and supported. This does not mean it must continue. It simply means the exhaustion model is not yet describing the condition as late-stage. Stretch The move is becoming more mature. This is a cautionary condition rather than an automatic reversal condition. Exhaustion Risk The model is detecting stronger signs of extension plus weakening support. This still does not guarantee reversal. It indicates that late-stage fatigue risk is becoming more relevant. Reset The market is moving away from an extended condition and toward normalization. This state can be useful when separating active fatigue from post-extension cooling. ALERTS Alerts are state-based and intentionally descriptive. They are designed to notify the user when the model shifts into meaningful phases such as Build-Up, Stretch, Exhaustion Risk, or Reset. These alerts should be interpreted as contextual transitions rather than direct instructions. HOW THIS DIFFERS FROM AG PRO RSI PRESSURE MAP This difference should be understood very clearly. AG Pro RSI Pressure Map is centered on pressure. AG Pro Stochastic Exhaustion Map is centered on fatigue. RSI Pressure Map focuses on whether directional pressure is building, holding, or weakening. Its primary reading axis is pressure intensity and directional dominance. Stochastic Exhaustion Map focuses on whether a move is fresh, extended, maturing, fatigued, or resetting. Its primary reading axis is trend maturity and exhaustion state. Put simply: • RSI Pressure Map asks: which side is applying pressure? • Stochastic Exhaustion Map asks: how mature or fatigued is the move? That is not a small wording difference. It changes the analytical role of the script. A user looking for pressure development, directional participation, or pressure persistence would generally be closer to the RSI Pressure Map framework. A user looking for extension maturity, late-stage risk, and reset behavior would generally be closer to the Stochastic Exhaustion Map framework. So even though both tools operate in the broader momentum / context space, they are not the same type of instrument and they are not trying to answer the same question. HOW THIS DIFFERS FROM CLASSIC STOCHASTIC SCRIPTS This script is not built as a standard stochastic crossover tool. It is not built as a basic 80 / 20 reversal script. It is not built as a simple divergence detector. Many conventional stochastic scripts are primarily concerned with: • K / D crossovers • overbought and oversold threshold events • simple turn signals from extreme zones This script takes a different route. Here, an extreme reading is not automatically treated as a reversal signal. A crossover is not the main event. The main objective is to describe the condition of the move itself: active, stretched, fatigued, or resetting. That distinction is fundamental. HOW THIS DIFFERS FROM AG PRO STRUCTURAL MOMENTUM OSCILLATOR Structural Momentum Oscillator is more directly concerned with momentum structure and directional behavior inside the move. Stochastic Exhaustion Map is more concerned with where the move stands in its lifecycle. In simplified terms: • Structural Momentum Oscillator = structure and momentum character • Stochastic Exhaustion Map = maturity and exhaustion character The overlap is limited because the purpose is different. HOW THIS DIFFERS FROM AG PRO MACD DRIFT FILTER MACD Drift Filter is centered on drift quality and directional continuation behavior through a MACD-derived lens. Stochastic Exhaustion Map is not trying to grade drift quality in that way. Its emphasis is on extension maturity, internal fatigue, and reset conditions within a stochastic state framework. So the user should not think of this script as a MACD variant with a different formula. The conceptual job is different. HOW THIS DIFFERS FROM GENERIC MEAN REVERSION TOOLS This script does not attempt to force a mean reversion call every time the market becomes extended. It explicitly allows for the reality that strong moves can remain extended for longer than expected. The goal is to map the transition from healthy extension to increasing fatigue risk, not to declare that every extreme must immediately reverse. That design choice is central to the script. LIMITATIONS AND TRANSPARENCY This script has important limitations. First, extreme stochastic conditions can persist during strong trends. For that reason, an elevated reading should not be interpreted as an automatic turning point. Second, exhaustion risk is not the same as reversal confirmation. A market can look stretched and still continue. Third, reset behavior should be read as normalization context, not as a guaranteed reload condition. Fourth, no single oscillator should be used in isolation. This script is intended to complement market structure, trend context, support / resistance analysis, volatility conditions, and the user's broader workflow. The model is deterministic, but deterministic does not mean certain. It means the same conditions will produce the same classification logic. RISK DISCLOSURE This indicator is a chart-analysis and contextual state-mapping tool. It is not a prediction engine. It is not financial advice. It should not be used as the sole basis for entries, exits, or risk decisions.
Penunjuk Pine Script®
oleh AGProLabs
2
Oscillators with DivergencesIf you do enjoy this indicator, check out my Ultimate Indicator! It is another collection of indicators all into one but that is for price chart indicators like Donchian, Keltner, EMAs, VWAP, Super Trend, etc. This is a culmination of hundreds of hours (maybe even a thousand, honestly) of work spent working with dozens of indicators and now taking all of the ones I like the most and combining them into one so you can easily switch between them. On top of that, I have my own custom divergence code that can look back up to five pivots! There's the following indicators all wrapped into this one: MACD RSI CCI Volume-Weighted MACD MFI Stochastic Stochastic RSI I could not get a working method of looking back several pivots from other people's code so I took a 1-pivot lookback method and copied out several times and made necessary changes to work properly. It will also draw an "early divergence" the moment it's happening rather than waiting the normal 5 candles to show. Once the 5 candles have passed, it will pick the furthest back divergence as the one to stay. Let's say you have the divergences set to 3 pivot points. If a divergence happens that goes back 1 pivot point, but later a 3 pivot divergence overlaps it, the 1 pivot will get removed after the 3 pivot early divergence is confirmed after its 5 candles have passed. Just put it on the chart and you'll see, it sounds crazy to explain. I've added a bunch of tooltips to explain each setting. Please read them if you have questions. I've also added notes into my code if you do choose to use it for your own purposes or make changes. I wish you luck haha, it's a bit of a mess. Some things were commented out but elft in there just beacuse I never know when I want to re-enable it or just see what the original code was.
Penunjuk Pine Script®
oleh theehoganator
QTP - Stochastic RSIQTP - Stochastic RSI ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔬 Overview The QTP Stochastic RSI applies a Stochastic oscillator to RSI values rather than raw price — producing a faster, more sensitive momentum reading that catches overbought and oversold conditions earlier than either indicator alone. Designed with a high-contrast dark panel and electric blue/hot pink color scheme for instant visual clarity during fast-moving markets. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚙️ How It Works The indicator first calculates a standard RSI over a configurable period, then runs a Stochastic calculation on that RSI output. This double-processing amplifies momentum shifts — the Stochastic RSI reaches 0 and 100 far more frequently than a standard RSI, making it more responsive to turning points. The %K line (electric blue) represents the smoothed Stochastic of RSI. The %D line (hot pink) is a moving average of %K, acting as a signal line. Crossovers between %K and %D at overbought or oversold extremes mark potential reversal zones. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎯 Key Features ◆ RSI-Based Stochastic — Stochastic calculation applied to RSI values instead of price, producing a more sensitive and earlier-reacting oscillator ◆ Independent Length Controls — RSI Length and Stochastic Length are configured separately, giving full control over the indicator's responsiveness and smoothing ◆ Smoothed %K and %D Lines — Adjustable K and D smoothing factors to tune signal quality from aggressive (low smoothing) to conservative (high smoothing) ◆ High-Contrast Dark Panel — Black background fill between the OB/OS bands creates a clean, high-visibility display that stands out on any chart theme ◆ Electric Blue / Hot Pink Color Scheme — Purpose-chosen colors that are visually distinct from each other and from standard chart elements, reducing eye strain during extended sessions ◆ Configurable Levels — Upper band, lower band, and middle reference line are all adjustable inputs — not hardcoded — so you can fine-tune thresholds to match your trading style ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📐 How To Use Add the indicator to your chart — it appears in a separate lower panel with a dark background for contrast. Watch for %K (blue) crossing above %D (pink) below the lower band — this signals a potential bullish reversal from oversold conditions. Watch for %K (blue) crossing below %D (pink) above the upper band — this signals a potential bearish reversal from overbought conditions. Crossovers in the middle zone (20-80) indicate momentum shifts but carry less conviction than crosses at the extremes. For scalping and intraday, lower the RSI Length and Stochastic Length (e.g. 7/7) for faster signals. For swing trading, keep the defaults (14/14) or increase for smoother readings. Adjust the K and D smoothing to control noise — lower values (1-2) give raw, fast signals while higher values (5-7) produce cleaner but slower crossovers. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📊 Settings Overview ◆ K Smoothing — Smoothing applied to the raw Stochastic of RSI (default: 3) ◆ D Smoothing — Signal line smoothing applied to %K (default: 3) ◆ RSI Length — Lookback period for the underlying RSI calculation (default: 14) ◆ Stochastic Length — Lookback period for the Stochastic applied to RSI (default: 14) ◆ RSI Source — Price source for RSI calculation (default: close) ◆ Upper Band — Overbought threshold (default: 80) ◆ Middle Band — Neutral reference line (default: 50) ◆ Lower Band — Oversold threshold (default: 20) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚠️ Disclaimer This indicator is a technical analysis tool designed to assist with market analysis. It does not constitute financial advice. Past performance is not indicative of future results. Always use proper risk management and perform your own due diligence before making trading decisions.
Penunjuk Pine Script®
oleh QTP-CB
CPR OI Toolkit - All in one indicatorThis is experimental indicator which is an extend my pre triple EMA indicator. I have been using this indicator to identify potential entry and exit for commodity market. I had used it for couple of week and it helps. I would like to share with you. It is meant identify and analyze then plan your trade. I have developed this indicator using Google Antigravity , which is an awesome tool for developing trading indicator and strategies. My CPR OI tool kit includes following. Triple EMA Stochastic - for trend catching Previous Low/high base trial and visual indication Price action concepts Reversion logic. Visual indication - buy / sell / setup initialization / exit Visual dashboard. --- ## 🎨 Visual Signal Guide | Marker | Meaning | Action | |--------|---------|--------| | 🔵 Tiny Blue Circle | Stochastic bullish setup START | Wait for EMA + breakout | | 🟢 Green Triangle UP | **LONG ENTRY** - All conditions met | **ENTER LONG** | | 🔴 Red Triangle DOWN | **SHORT ENTRY** | **ENTER SHORT** | | 🟠 Orange Circle | **EXIT** - EMA1/2 cross | **CLOSE POSITION** | | 💧 Aqua "R" | Mean reversion long | Scalp opportunity | | 💜 Fuchsia "R" | Mean reversion short | Scalp opportunity | --- ## 💰 Open Interest Interpretation | Status | Price vs Prev | OI Change | Meaning | |--------|---------------|-----------|---------| | **Long Accumulation**🟢 | ↑ | ↑ | Bulls building positions | | **Short Accumulation**🔴 | ↓ | ↑ | Bears building positions | | **Short Covering**🟡 | ↑ | ↓ | Bears exiting (bullish) | | **Long Unwinding**🟠 | ↓ | ↓ | Bulls exiting (bearish) | --- ## 🔔 Alerts (All Enabled by Default) 1. "LONG Signal | Stochastic confirmed | EMA Bullish" 2. "SHORT Signal | Stochastic confirmed | EMA Bearish" 3. "EMA Alignment: BULLISH/BEARISH" 4. "Position CLOSED - Trailing Stop Hit" ---
Penunjuk Pine Script®
oleh trade_crush
8
[SM-021] Gaussian Trend System [Optimized]This script is a comprehensive trend-following strategy centered around a Gaussian Channel. It is designed to capture significant market movements while filtering out noise during consolidation phases. This version (v2) introduces code optimizations using Pine Script v6 Arrays and a new Intraday Time Control feature. 1. Core Methodology & Math The foundation of this strategy is the Gaussian Filter, originally conceptualized by @DonovanWall. Gaussian Poles: Unlike standard moving averages (SMA/EMA), this filter uses "poles" (referencing signal processing logic) to reduce lag while maintaining smoothness. Array Optimization: In this specific iteration, the f_pole function has been refactored to utilize Pine Script Arrays. This improves calculation efficiency and rendering speed compared to recursive variable calls, especially when calculating deep historical data. Channel Logic: The strategy calculates a "Filtered True Range" to create High and Low bands around the main Gaussian line. Long Entry: Price closes above the High Band. Short Entry: Price closes below the Low Band. 2. Signal Filtering (Confluence) To reduce false signals common in trend-following systems, the strategy employs a "confluence" approach using three additional layers: Baseline Filter: A 200-period (customizable) EMA or SMA acts as a regime filter. Longs are only taken above the baseline; Shorts only below. ADX Filter (Volatility): The Average Directional Index (ADX) is used to measure trend strength. If the ADX is below a user-defined threshold (default: 20), the market is considered "choppy," and new entries are blocked. Momentum Check: A Stochastic RSI check ensures that momentum aligns with the breakout direction. 3. NEW: Intraday Session Filter Per user requests, a time-based filter has been added to restrict trading activity to specific market sessions (e.g., the New York Open). How it works: Users can toggle a checkbox to enable/disable the filter. Configuration: You can define a specific time range (Default: 09:30 - 16:00) and a specific Timezone (Default: New York). Logic: The strategy longCondition and shortCondition now check if the current bar's timestamp falls within this window. If outside the window, no new entries are generated, though existing trades are managed normally. 4. Risk Management The strategy relies on volatility-based exits rather than fixed percentage stops: ATR Stop Loss: A multiple of the Average True Range (ATR) is calculated at the moment of entry to set a dynamic Stop Loss. ATR Take Profit: An optional Reward-to-Risk (RR) ratio can be set to place a Take Profit target relative to the Stop Loss distance. Band Exit: If the trend reverses and price crosses the opposite band, the trade is closed immediately to prevent large drawdowns. Credits & Attribution Original Gaussian Logic: Developed by @DonovanWalll. This script utilizes his mathematical formula for the pole filters. Strategy Wrapper & Array Refactor: Developed by @sebamarghella. Community Request: The Intraday Session Filter was added to assist traders focusing on specific liquidity windows. Disclaimer: This strategy is for educational purposes. Past performance is not indicative of future results. Please use the settings menu to adjust the Session Time and Risk parameters to fit your specific asset class.
Strategi Pine Script®
oleh sebamarghella
REMS - Deep SynergyThis is a more flexible version of the REMS Synergy indicator. Like other indicators in the REMS family, it builds upon the foundations assessing the relationships between RSI, EMAs, MACDs, and Stochastic RSI across multiple timeframes. Designed to help traders identify less frequent, but high probability entries across 2 time frames. Uses 3 levels of confluence indicators for both long and short moves. Features 3 levels of confluence across 2 timeframes. All 3 levels allow filtering of any combination of REMS filters. Features more options and customization than previous REMS Synergy. Includes VWAP and 4 EMAs as optional visual representations. Includes 'Enhanced Candles' than can colour code candlesticks for better visual identification. (off by default) Originally designed with 5 minute and 2 minute timeframes in mind, and pairs well with REMS First Strike and/or REMS Snap Shot indicators. This version features no hard-coded inputs and allows for more freedom than previous version. With the added flexibility comes the ability for the indicator to be more easily stacked.
Penunjuk Pine Script®
oleh KodiakMarket
Stochastic BTC OptimizedEnhanced Stochastic for Bitcoin (BTC) – Optimized for Daily Timeframe This enhanced Stochastic oscillator is specifically fine-tuned for BTC/USD on the 1D timeframe, leveraging historical data from Bitstamp (2011–2025) to minimize false signals and maximize reliability in Bitcoin's volatile swings. Unlike the classic Stochastic (14, 3, 3), this version uses optimized parameters: - K Period = 21 – smoother reaction, better suited for BTC’s macro cycles - D Period = 3, Smooth K = 3 – reduces noise while preserving responsiveness - Overbought = 85, Oversold = 15 – accounts for BTC’s tendency to trend strongly within extreme zones without immediate reversal ✅ Smart Signal Logic: Buy/sell signals appear only when %K crosses %D inside the oversold (≤15) or overbought (≥85) zones, and only the first signal is shown to avoid whipsaws. Visual Enhancements: - Thick lines when %K/%D are in overbought/oversold zones - Green/red background highlights on valid signals - Optional up/down arrows for clear entry visualization - Customizable colors, line widths, and transparency 🔒 No alerts included – clean, focused on price action and momentum. 💡 Pro Tip: For even higher accuracy, use this indicator in combination with a long-term trend filter (e.g., EMA 200). The oscillator excels in ranging or retracement phases but should not be used alone in strong parabolic moves. Based on Mozilla Public License v2.0 – feel free to use, modify, and share. Perfect for swing traders and long-term Bitcoin analysts seeking high-probability reversal zones. перевод на русский Улучшенный Stochastic для Bitcoin (BTC) — оптимизирован для дневного таймфрейма Этот улучшенный осциллятор Stochastic специально настроен под BTC/USD на дневном графике, с учётом исторических данных Bitstamp (2011–2025), чтобы минимизировать ложные сигналы и повысить надёжность в условиях высокой волатильности биткоина. В отличие от классического Stochastic (14, 3, 3), эта версия использует оптимизированные параметры: - Период K = 21 — более плавная реакция, лучше соответствует макроциклам BTC - Период D = 3, Сглаживание K = 3 — снижает шум, сохраняя отзывчивость - Уровень перекупленности = 85, перепроданности = 15 — учитывает склонность BTC к сильным трендам в экстремальных зонах без немедленного разворота ✅ Интеллектуальная логика сигналов: Покупка/продажа отображается только при пересечении %K и %D внутри зоны перепроданности (≤15) или перекупленности (≥85), и только первый сигнал фиксируется, чтобы избежать «хлыстов». Улучшенная визуализация: - Жирные линии, когда %K/%D находятся в экстремальных зонах - Зелёный/красный фон при появлении сигналов - Опциональные стрелки для чёткого отображения точек входа - Настройка цветов, толщины линий и прозрачности 🔒 Без алертов — чистый инструмент, сфокусированный на цене и импульсе. 💡 Совет профессионала: для ещё большей точности используйте этот индикатор вместе с трендовым фильтром (например, EMA 200). Осциллятор лучше всего работает в фазах консолидации или отката, но не стоит применять его в одиночку во время сильных параболических движений. На основе Mozilla Public License v2.0 — свободно используйте, модифицируйте и делитесь. Идеален для свинг-трейдеров и аналитиков Bitcoin, ищущих зоны с высокой вероятностью разворота.
Penunjuk Pine Script®
oleh indexrate
1
Stochastic Hash Strat [Hash Capital Research]# Stochastic Hash Strategy by Hash Capital Research ## 🎯 What Is This Strategy? The **Stochastic Slow Strategy** is a momentum-based trading system that identifies oversold and overbought market conditions to capture mean-reversion opportunities. Think of it as a "buy low, sell high" approach with smart mathematical filters that remove emotion from your trading decisions. Unlike fast-moving indicators that generate excessive noise, this strategy uses **smoothed stochastic oscillators** to identify only the highest-probability setups when momentum truly shifts. --- ## 💡 Why This Strategy Works Most traders fail because they: - **Chase prices** after big moves (buying high, selling low) - **Overtrade** in choppy, directionless markets - **Exit too early** or hold losses too long This strategy solves all three problems: 1. **Entry Discipline**: Only trades when the stochastic oscillator crosses in extreme zones (oversold for longs, overbought for shorts) 2. **Cooldown Filter**: Prevents revenge trading by forcing a waiting period after each trade 3. **Fixed Risk/Reward**: Pre-defined stop-loss and take-profit levels ensure consistent risk management **The Math Behind It**: The stochastic oscillator measures where the current price sits relative to its recent high-low range. When it's below 25, the market is oversold (time to buy). When above 70, it's overbought (time to sell). The crossover with its moving average confirms momentum is shifting. --- ## 📊 Best Markets & Timeframes ### ⭐ OPTIMAL PERFORMANCE: **Crude Oil (WTI) - 12H Timeframe** - **Why it works**: Oil markets have predictable volatility patterns and respect technical levels **AAVE/USD - 4H to 12H Timeframe** - **Why it works**: DeFi tokens exhibit strong momentum cycles with clear extremes ### ✅ Also Works Well On: - **BTC/USD** (12H, Daily) - Lower frequency but high win rate - **ETH/USD** (8H, 12H) - Balanced volatility and liquidity - **Gold (XAU/USD)** (Daily) - Classic mean-reversion asset - **EUR/USD** (4H, 8H) - Lower volatility, requires patience ### ❌ Avoid Using On: - Timeframes below 4H (too much noise) - Low-liquidity altcoins (wide spreads kill performance) - Strongly trending markets without pullbacks (Bitcoin in 2021) - News-driven instruments during major events --- ## 🎛️ Understanding The Settings ### Core Stochastic Parameters **Stochastic Length (Default: 16)** - Controls the lookback period for price comparison - Lower = faster reactions, more signals (10-14 for volatile markets) - Higher = smoother signals, fewer trades (16-21 for stable markets) - **Pro tip**: Use 10 for crypto 4H, 16 for commodities 12H **Overbought Level (Default: 70)** - Threshold for short entries - Lower values (65-70) = more trades, earlier entries - Higher values (75-80) = fewer but higher-conviction trades - **Sweet spot**: 70 works for most assets **Oversold Level (Default: 25)** - Threshold for long entries - Higher values (25-30) = more trades, earlier entries - Lower values (15-20) = fewer but stronger bounce setups - **Sweet spot**: 20-25 depending on market conditions **Smooth K & Smooth D (Default: 7 & 3)** - Additional smoothing to filter out whipsaws - K=7 makes the indicator slower and more reliable - D=3 is the signal line that confirms the trend - **Don't change these unless you know what you're doing** --- ### Risk Management **Stop Loss % (Default: 2.2%)** - Automatically exits losing trades - Should be 1.5x to 2x your average market volatility - Too tight = death by a thousand cuts - Too wide = uncontrolled losses - **Calibration**: Check ATR indicator and set SL slightly above it **Take Profit % (Default: 7%)** - Automatically exits winning trades - Should be 2.5x to 3x your stop loss (reward-to-risk ratio) - This default gives 7% / 2.2% = 3.18:1 R:R - **The golden rule**: Never have R:R below 2:1 --- ### Trade Filters **Bar Cooldown Filter (Default: ON, 3 bars)** - **What it does**: Forces you to wait X bars after closing a trade before entering a new one - **Why it matters**: Prevents emotional revenge trading and overtrading in choppy markets - **Settings guide**: - 3 bars = Standard (good for most cases) - 5-7 bars = Conservative (oil, slow-moving assets) - 1-2 bars = Aggressive (only for experienced traders) **Exit on Opposite Extreme (Default: ON)** - Closes your long when stochastic hits overbought (and vice versa) - Acts as an early profit-taking mechanism - **Leave this ON** unless you're testing other exit strategies **Divergence Filter (Default: OFF)** - Looks for price/momentum divergences for additional confirmation - **When to enable**: Trending markets where you want fewer but higher-quality trades - **Keep OFF for**: Mean-reverting markets (oil, forex, most of the time) --- ## 🚀 Quick Start Guide ### Step 1: Set Up in TradingView 1. Open TradingView and navigate to your chart 2. Click "Pine Editor" at the bottom 3. Copy and paste the strategy code 4. Click "Add to Chart" 5. The strategy will appear in a separate pane below your price chart ### Step 2: Choose Your Market **If you're trading Crude Oil:** - Timeframe: 12H - Keep all default settings - Watch for signals during London/NY overlap (8am-11am EST) **If you're trading AAVE or crypto:** - Timeframe: 4H or 12H - Consider these adjustments: - Stochastic Length: 10-14 (faster) - Oversold: 20 (more aggressive) - Take Profit: 8-10% (higher targets) ### Step 3: Wait for Your First Signal **LONG Entry** (Green circle appears): - Stochastic crosses up below oversold level (25) - Price likely near recent lows - System places limit order at take profit and stop loss **SHORT Entry** (Red circle appears): - Stochastic crosses down above overbought level (70) - Price likely near recent highs - System places limit order at take profit and stop loss **EXIT** (Orange circle): - Position closes either at stop, target, or opposite extreme - Cooldown period begins ### Step 4: Let It Run The biggest mistake? **Interfering with the system.** - Don't close trades early because you're scared - Don't skip signals because you "have a feeling" - Don't increase position size after a big win - Don't revenge trade after a loss **Follow the system or don't use it at all.** --- ### Important Risks: 1. **Drawdown Pain**: You WILL experience losing streaks of 5-7 trades. This is mathematically normal. 2. **Whipsaw Markets**: Choppy, range-bound conditions can trigger multiple small losses. 3. **Gap Risk**: Overnight gaps can cause your actual fill to be worse than the stop loss. 4. **Slippage**: Real execution prices differ from backtested prices (factor in 0.1-0.2% slippage). --- ## 🔧 Optimization Guide ### When to Adjust Settings: **Market Volatility Increased?** - Widen stop loss by 0.5-1% - Increase take profit proportionally - Consider increasing cooldown to 5-7 bars **Getting Too Few Signals?** - Decrease stochastic length to 10-12 - Increase oversold to 30, decrease overbought to 65 - Reduce cooldown to 2 bars **Getting Too Many Losses?** - Increase stochastic length to 18-21 (slower, smoother) - Enable divergence filter - Increase cooldown to 5+ bars - Verify you're on the right timeframe ### A/B Testing Method: 1. **Run default settings for 50 trades** on your chosen market 2. Document: Win rate, profit factor, max drawdown, emotional tolerance 3. **Change ONE variable** (e.g., oversold from 25 to 20) 4. Run another 50 trades 5. Compare results 6. Keep the better version **Never change multiple settings at once** or you won't know what worked. --- ## 📚 Educational Resources ### Key Concepts to Learn: **Stochastic Oscillator** - Developed by George Lane in the 1950s - Measures momentum by comparing closing price to price range - Formula: %K = (Close - Low) / (High - Low) × 100 - Similar to RSI but more sensitive to price movements **Mean Reversion vs. Trend Following** - This is a **mean reversion** strategy (price returns to average) - Works best in ranging markets with defined support/resistance - Fails in strong trending markets (2017 Bitcoin, 2020 Tech stocks) - Complement with trend filters for better results **Risk:Reward Ratio** - The cornerstone of profitable trading - Winning 40% of trades with 3:1 R:R = profitable - Winning 60% of trades with 1:1 R:R = breakeven (after fees) - **This strategy aims for 45% win rate with 2.5-3:1 R:R** ### Recommended Reading: - *"Trading Systems and Methods"* by Perry Kaufman (Chapter on Oscillators) - *"Mean Reversion Trading Systems"* by Howard Bandy - *"The New Trading for a Living"* by Dr. Alexander Elder --- ## 🛠️ Troubleshooting ### "I'm not seeing any signals!" **Check:** - Is your timeframe 4H or higher? - Is the stochastic actually reaching extreme levels (check if your asset is stuck in middle range)? - Is cooldown still active from a previous trade? - Are you on a low-liquidity pair? **Solution**: Switch to a more volatile asset or lower the overbought/oversold thresholds. --- ### "The strategy keeps losing money!" **Check:** - What's your win rate? (Below 35% is concerning) - What's your profit factor? (Below 0.8 means serious issues) - Are you trading during major news events? - Is the market in a strong trend? **Solution**: 1. Verify you're using recommended markets/timeframes 2. Increase cooldown period to avoid choppy markets 3. Reduce position size to 5% while you diagnose 4. Consider switching to daily timeframe for less noise --- ### "My stop losses keep getting hit!" **Check:** - Is your stop loss tighter than the average ATR? - Are you trading during high-volatility sessions? - Is slippage eating into your buffer? **Solution**: 1. Calculate the 14-period ATR 2. Set stop loss to 1.5x the ATR value 3. Avoid trading right after market open or major news 4. Factor in 0.2% slippage for crypto, 0.1% for oil --- ## 💪 Pro Tips from the Trenches ### Psychological Discipline **The Three Deadly Sins:** 1. **Skipping signals** - "This one doesn't feel right" 2. **Early exits** - "I'll just take profit here to be safe" 3. **Revenge trading** - "I need to make back that loss NOW" **The Solution:** Treat your strategy like a business system. Would McDonald's skip making fries because the cashier "doesn't feel like it today"? No. Systems work because of consistency. --- ### Position Management **Scaling In/Out** (Advanced) - Enter 50% position at signal - Add 50% if stochastic reaches 10 (oversold) or 90 (overbought) - Exit 50% at 1.5x take profit, let the rest run **This is NOT for beginners.** Master the basic system first. --- ### Market Awareness **Oil Traders:** - OPEC meetings = volatility spikes (avoid or widen stops) - US inventory reports (Wed 10:30am EST) = avoid trading 2 hours before/after - Summer driving season = different patterns than winter **Crypto Traders:** - Monday-Tuesday = typically lower volatility (fewer signals) - Thursday-Sunday = higher volatility (more signals) - Avoid trading during exchange maintenance windows --- ## ⚖️ Legal Disclaimer This trading strategy is provided for **educational purposes only**. - Past performance does not guarantee future results - Trading involves substantial risk of loss - Only trade with capital you can afford to lose - No one associated with this strategy is a licensed financial advisor - You are solely responsible for your trading decisions **By using this strategy, you acknowledge that you understand and accept these risks.** --- ## 🙏 Acknowledgments Strategy development inspired by: - George Lane's original Stochastic Oscillator work - Modern quantitative trading research - Community feedback from hundreds of backtests Built with ❤️ for retail traders who want systematic, disciplined approaches to the markets. --- **Good luck, stay disciplined, and trade the system, not your emotions.**
Strategi Pine Script®
oleh Hash_Capital
Range Oascilator + LessDivergences + MACD+StochRSIRange Oscillator + EMA Filter Calculates a custom oscillator based on the highest high and lowest low over a chosen period. Generates BUY signals when the oscillator crosses up from the oversold zone and price is above the EMA. Generates SELL signals when the oscillator crosses down from the overbought zone and price is below the EMA. MACD (3‑10‑16 EMA Settings) Uses fast EMA = 3, slow EMA = 10, signal EMA = 16. Detects bullish and bearish crossovers. These crossovers only trigger a single unified buy/sell signal if they coincide with Stochastic RSI being in oversold (for buy) or overbought (for sell) zones. Stochastic RSI Standard calculation with %K and %D smoothing. Defines oversold (<20) and overbought (>80) zones. Used both for divergence detection and as a filter for MACD signals. Divergence Detection RSI Divergence: Price makes a lower low but RSI makes a higher low (bullish), or price makes a higher high but RSI makes a lower high (bearish). MACD Histogram Divergence: Price makes a lower low but MACD histogram makes a higher low (bullish), or price makes a higher high but MACD histogram makes a lower high (bearish). Stochastic RSI Divergence: Similar logic applied to %K line. Divergences are flagged only once per pivot to avoid repetitive signals. Visuals EMA plotted on chart. BUY/SELL signals shown as triangles above/below bars. Divergences shown as labels (e.g., “RSI BullDiv”, “MACD BearDiv”). Unified MACD+Stoch RSI signals shown in distinct colors (lime for buy, orange for sell).
Penunjuk Pine Script®
oleh hakantugurlu77
MACD + StochasticMACD + Stochastic 14 Scenarios - Complete Signal Analysis Combines MACD and Stochastic Oscillator to identify 14 different market scenarios based on crossover timing and indicator positioning. 🎯 Signal Strength Classification: • STRONG (⭐⭐⭐⭐⭐): Both indicators cross together - highest confidence • MODERATE (⭐⭐⭐⭐): One crosses while other confirms - good confidence • WEAK (⭐⭐): Conflicting signals - low confidence 📊 Visual Features: ✓ Color-coded shapes on chart (triangles, circles, X marks) ✓ Scenario labels (1-16, excluding 12 & 14) ✓ Real-time info table showing current status ✓ Customizable signal display (show/hide by strength) ✓ Built-in alerts for all signal types Perfect for swing traders and position traders looking for high-probability entries with dual indicator confirmation. Use on daily timeframe for best results. Includes toggleable display options for strong, moderate, and weak signals.
Penunjuk Pine Script®
oleh Sakett_Guptaa
Hyper Strength Index | QuantLapse🧠 Hyper Strength Index (HSI) | QuantLapse Overview: The Hyper Strength Index (HSI) is a composite momentum oscillator designed to unify multiple strength measures into a single, adaptive framework. It combines the Relative Strength Index (RSI), Chande Momentum Oscillator (CMO), Money Flow Index (MFI), and Stochastic RSI to deliver a refined, multidimensional view of market momentum and overbought/oversold conditions. Unlike traditional oscillators that rely on a single formula, the HSI averages four distinct momentum perspectives — price velocity, directional conviction, volume participation, and stochastic behavior — offering traders a more balanced and noise-resistant reading of market strength. ⚙️ Calculation Logic: The Hyper Strength Index is computed as the normalized average of: 📈 RSI — classic measure of relative momentum. 💪 CMO — captures directional bias and intensity of moves. 💵 MFI — integrates volume and money flow pressure. 🔄 Stochastic RSI (K-line) — identifies momentum extremes and short-term turning points. This fusion creates a smoother, more comprehensive signal, mitigating the weaknesses of any single oscillator. 🎯 Interpretation: Overbought Zone (Default: > 75): Indicates potential exhaustion of bullish momentum — a cooling phase or reversal may follow. Oversold Zone (Default: < 7): Suggests bearish exhaustion — a rebound or accumulation phase may emerge. Neutral Zone (Between 7 and 75): Represents balanced market conditions or trend continuation phases. Visual cues highlight key conditions: 🔺 Red Highlights — Overbought regions or downward inflection points. 🔻 Green Highlights — Oversold regions or upward inflection points. Neutral zones are shaded with subtle gray backgrounds for clarity. 💡 Key Features: 🔹 Multi-factor strength analysis (RSI + CMO + MFI + StochRSI). 🔹 Adaptive overbought/oversold detection. 🔹 Visual alerts via colored backgrounds and bar markers. 🔹 Customizable smoothing and length parameters for fine-tuning sensitivity. 🔹 Intuitive visualization ideal for both short-term scalping and swing trading setups. 🧭 Usage Notes: Works best as a momentum confirmation tool — pair with trend filters like EMA, SuperTrend, or ADX. In trending markets, use crossovers from extreme zones as potential continuation or exhaustion signals. In ranging markets, exploit overbought/oversold reversals for high-probability mean reversion trades. 📘 Summary: The Hyper Strength Index | QuantLapse distills multiple dimensions of market strength into a single, cohesive oscillator. By merging price, volume, and directional momentum, it provides traders with a more robust, responsive, and context-aware perspective on market dynamics — a next-generation evolution beyond the limitations of RSI or CMO alone.
Penunjuk Pine Script®
oleh QuantLapse
REMS Synergy OverlayThis 3rd generation REMS indicator builds upon the foundations assessing the relationships between RSI, EMAs, MACDs, and Stochastic RSI across multiple timeframes. Designed to help traders identify less frequent, but high probability entries across 2 time frames. Uses 3 levels of confluence indicators for both long and short moves. Confluence Level 1 (Highest Conviction): Evaluates selected criteria across both timeframes. All selected criteria must be in confluence to trigger signal. Confluence Level 2 (Moderate Conviction): Selected criteria can be selected by each timeframe individually. All selected criteria must be in confluence to trigger signal. Confluence Level 3 (Lower/supportive confluence): Of the selected criteria, this level can evaluate a set number of conditions that must be met. Number of conditions is user-defined. Includes VWAP and 4 EMAs as optional visual representations. Includes 'Enhanced Candles' than can colour code candlesticks for better visual identification. (off by default) Originally designed with 5 minute and 2 minute timeframes in mind, and pairs well with REMS First Strike and/or REMS Snap Shot indicators. Values coded below: RSI -Primary: Length = 14, Smoothing = 20 (via SMA) -Secondary: Length = 7, Smoothing = 20 (via SMA) Stochastic RSI Primary: -RSI Length = 14 -Stochastic Length = 8 -%K = 3, %D = 3 Secondary: -RSI Length = 7 -Stochastic Length = 7 -%K = 3, %D = 2 MACD - applied to both timeframes -Fast = 12, Slow = 26, Signal = 9
Penunjuk Pine Script®
oleh KodiakMarket
Stoch + RSI DashboardIndicator Description MTF Stochastic + RSI Dashboard FLEX with STRONG Alerts A compact, multi-timeframe dashboard that shows Stochastic %K/%D, RSI and signal states across user-defined timeframes. Columns can be toggled on/off to keep the panel as small as you need. Signal texts and colors are fully customizable. The table can be placed in any chart corner, and the background color & opacity are adjustable for perfect readability. What it shows • For each selected timeframe: %K, %D, a signal cell (Bullish/Bearish/Strong), RSI value, and RSI state (Overbought/Oversold/Neutral). • Timeframes are displayed as friendly labels (e.g., 60 → 1h, W → 1w, 3D → 3d). Signals & logic • Bullish/Bearish when %K and %D show a sufficient gap (or an optional confirmed cross). • Strong Bullish when both %K and %D are below the “Strong Bullish max” threshold. • Strong Bearish when both %K and %D are above the “Strong Bearish min” threshold. • Optional confirmation: RSI < 30 for Strong Bullish, RSI > 70 for Strong Bearish. Alerts • Global alerts for any selected timeframes when a STRONG BULLISH or STRONG BEARISH event occurs. Key options • Column visibility toggles (TF, %K, %D, Signal, RSI, RSI Status). • Custom signal texts & colors. • Dashboard position: top-left / top-right / bottom-left / bottom-right. • Table background color + opacity (0 = opaque, 100 = fully transparent). • Sensitivity (minimum %K–%D gap) and optional “cross-only” mode. • Customizable timeframes for display and for alerts. Default settings • Stochastic: K=5, D=3, SmoothK=3 • RSI length: 14 • Decimals: 1 • Strong Bullish max: 20 • Strong Bearish min: 80 • Default TFs & alerts: 3m, 15m, 1h, 3h, 6h, 12h, 1d, 3d, 1w
Penunjuk Pine Script®
oleh Nachbar
1
Stochastic Money Flow IndexThe Stochastic Money Flow Index (or Stochastic MFI ), is a variation of the classic Stochastic RSI that uses the Money Flow Index (MFI) rather than the Relative Strength Index (RSI) in its calculation. While the RSI focuses solely on price momentum, the MFI is a volume-weighted indicator, meaning it incorporates both price and volume data. The Stochastic MFI is intended to provide a more precise and sensitive reading of the MFI by measuring the level of the MFI relative to its range over a specific period. Settings Stochastic Settings %K Length : The number of periods used to calculate the Stochastic. (Default: 14) %K Smoothing : The SMA length used to 'smooth' the %K line. (Default: 3) %D Smoothing : The SMA length used to 'smooth' the %D line. (Default: 1) Money Flow Index Settings MFI Length : The number of periods used to calculate the Money Flow Index. (Default: 14) MFI Source : The source used to calculate the Money Flow Index. (Default: close) Additional Settings Show Overbought/Oversold Gradients? : Toggle the display of overbought/oversold gradients. (Default: true)
Penunjuk Pine Script®
oleh iambrennanwalsh
Stochastic SuperTrend [BigBeluga]🔵 OVERVIEW A hybrid momentum-trend tool that combines Stochastic RSI with SuperTrend logic to deliver clean directional signals based on momentum turns. Stochastic SuperTrend is a straightforward yet powerful oscillator overlay designed to highlight turning points in momentum with high clarity. It overlays a SuperTrend-style envelope onto the Stochastic RSI, generating intuitive up/down signals when a momentum shift occurs across the neutral 50 level. Built for traders who appreciate simplicity without sacrificing reliability. 🔵 CONCEPTS Stochastic RSI: Measures momentum by applying stochastic calculations to the RSI curve instead of raw price. SuperTrend Bands: Dynamic upper/lower bands are drawn around the smoothed Stoch RSI line using a user-defined multiplier. Momentum Direction: Trend flips when the smoothed Stoch RSI crosses above/below the calculated bands. Neutral Bias Filter: Directional arrows only appear when momentum turns above or below the central 50 level—adding confluence. 🔵 FEATURES Trend Detection on Oscillator: Applies SuperTrend logic directly to the Stoch RSI curve. Clean Entry Signals: → 🢁 arrow printed when trend flips bullish below 50 (bottom reversals). → 🢃 arrow printed when trend flips bearish above 50 (top reversals). Custom Multiplier: Adjust sensitivity of SuperTrend band spacing around the oscillator. Neutral Zone Highlight: Visual zone between 0–50 (green) and 50–100 (red) for quick momentum polarity reference. Toggle SuperTrend Line: Option to show/hide the SuperTrend trail on the Stoch RSI. 🔵 HOW TO USE Use 🢁 signals for potential bottom reversals when momentum flips bullish from oversold regions. Use 🢃 signals for potential top reversals when momentum flips bearish from overbought areas. Combine with price-based SuperTrend or support/resistance zones for confluence. Suitable for scalping, swing trading, or momentum filtering across all timeframes. 🔵 CONCLUSION Stochastic SuperTrend is a simple yet refined tool that captures clean momentum shifts with directional clarity. Whether you're identifying reversals, filtering entries, or spotting exhaustion in a trend, this oscillator overlay delivers just what you need— no clutter, just clean momentum structure.
Penunjuk Pine Script®
oleh BigBeluga
4
Stochastic and RSI2 entriesStochastic and RSI2 entries, v1.0 This indicator combines Stochastic and RSI to facilitate "RSI2" entry signals. Buy signals will be shown at the bottom. The default configuration uses non-standard settings for the underlying indicators to tailor it for this type of entry strategy. This is an entry strategy that tries to find entries close to "the dip". A combination of Stochastic crossovers, VWAP, daily SMA50 and daily SMA200 are used to verify buy signals. This indicator is written for bullish signals and aims to find the start of short trends or cheap entries for longer positions. Like with any strategy, some signals will be false, and the user is advised to do some own research before using the buy signals for actual entries. Happy trading!
Penunjuk Pine Script®
oleh infoq1suh
Oath KeeperOath Keeper - Advanced Money Flow & Market Dynamics Indicator A sophisticated indicator that analyzes market dynamics through money flow patterns, volume analysis, and liquidation detection to identify high-probability trading opportunities. Core Features: • Smart Money Flow Analysis: Proprietary calculation of institutional money movement • Volume-Enhanced Signals: Multi-timeframe volume confirmation • Liquidation Detection: Identifies potential forced liquidation events • Advanced Signal Classification: Regular, Super, and Fakeout signals Signal Types: 1. Regular Signals (Green/Purple Circles) • Volume-confirmed momentum shifts • Money flow threshold breaches • Institutional participation confirmation 2. Super Signals (Green/Purple Squares) • Deep oversold/overbought reversals • High-volume rejection patterns • Liquidation event confirmation 3. Fakeout Signals (Red X) • Rapid sentiment shifts • Trap detection • False breakout warnings Visual Components: • Dynamic Money Flow Line (White/Purple) • Order Flow Clouds (Green/Red with high transparency) • Reference Levels (20, 50, 80) • Multi-type Signal Markers • Color-coded momentum visualization Interpretation Guide: • Green Cloud: Bullish money flow dominance • Red Cloud: Bearish money flow dominance • Circle Markers: Standard reversals • Square Markers: High-conviction moves • X Markers: Potential trap zones Best Practices: • Most effective on 1H+ timeframes • Use with major trading pairs • Wait for candle close confirmation • Combine with support/resistance levels • Monitor volume confirmation • Use multiple timeframe analysis This indicator helps traders identify institutional money flow, potential liquidation events, and market reversals by analyzing volume patterns and money flow dynamics, providing multiple confirmation layers for trade decisions. Note: Performance varies with market conditions and timeframes. Always employ proper risk management.
Penunjuk Pine Script®
oleh RickyTSpanish
Triple SRSI-MFI Ⅲ - Multi TimeframeTriple SRSI-MFI Ⅲ - Multi Timeframe Indicator Description The Triple SRSI-MFI Ⅲ - Multi Timeframe indicator is a powerful tool designed to combine Stochastic RSI (SRSI) and Money Flow Index (MFI) across multiple timeframes (higher, current, and lower). It provides a comprehensive view of market momentum and potential overbought/oversold conditions by calculating a weighted hybrid of SRSI-MFI values from three different timeframes. The indicator also integrates Bollinger Bands to help identify trend direction and volatility. This indicator is ideal for traders who want to analyze market conditions across multiple timeframes without switching charts. It automatically adjusts settings based on the current timeframe and includes a dynamic weighting system optimized for Bitcoin volatility. Additionally, a real-time information panel displays the market state (buy/sell) and signal strength. Key Features Multi-Timeframe Analysis: Combines SRSI-MFI from higher, current, and lower timeframes for a holistic view. Dynamic Weighting: Automatically adjusts weights for each timeframe based on Bitcoin volatility, with an option for manual customization. Bollinger Bands Integration: Visualizes trend direction and volatility using Bollinger Bands, with customizable source selection. Real-Time Info Panel: Displays market state (buy/sell) and signal strength (%) in the top-right corner of the chart. Customizable Settings: Allows users to tweak MFI source, Bollinger Bands parameters, and visibility of individual components. How to Use Add to Chart: Add the "Triple SRSI-MFI Ⅲ - Multi Timeframe" indicator to your chart. Interpret Signals: Market State (Buy/Sell): Shown in the info panel. "Buy" when the average SRSI-MFI is above the Bollinger Bands basis, "Sell" when below. Strength (%): The relative position of the average SRSI-MFI within the Bollinger Bands, scaled from 0% to 100%. Overbought/Oversold Levels: The indicator plots horizontal lines at 80 (overbought) and 20 (oversold). Use these as potential reversal zones. Combine with Price Action: Use the indicator in conjunction with price action or other tools for better decision-making. Adjust Settings: Customize the settings (e.g., Bollinger Bands length, weights, visibility) to match your trading style. Settings MFI Source: Select the source for MFI calculation (default: "hlc3"). Options include "close", "open", "high", "low", "hl2", "hlc3", "ohlc4". Bollinger Bands: Length: Period for Bollinger Bands calculation (default: 20). Multiplier: Standard deviation multiplier for the bands (default: 2.0). Source: Choose which SRSI-MFI value to use for Bollinger Bands ("averageHybrid", "hybrid_higher", "hybrid_current", "hybrid_lower"; default: "hybrid_higher"). Weights: Auto Weight Enabled: Enable/disable automatic weights based on Bitcoin volatility (default: true). Higher/Current/Lower Weights: Manually set weights for each timeframe if auto-weight is disabled (defaults: 1.5, 1.0, 0.5). Indicator On/Off: Toggle visibility for Higher SRSI-MFI, Current SRSI-MFI, Lower SRSI-MFI, Average SRSI-MFI, and Bollinger Bands. How It Works SRSI-MFI Calculation: Stochastic RSI (SRSI) and Money Flow Index (MFI) are calculated for three timeframes: higher, current, and lower. The hybrid value (SRSI * (MFI / 100)) is computed for each timeframe. Weighted Average: The hybrid values are combined into a weighted average (averageHybrid) using dynamic or manual weights. Bollinger Bands: Bollinger Bands are applied to the selected source (e.g., hybrid_higher) to identify trend direction and volatility. Relative Position: The position of averageHybrid within the Bollinger Bands is scaled to a percentage (0% to 100%) for strength assessment. Visualization: Plots individual SRSI-MFI lines, Bollinger Bands, and overbought/oversold levels. A real-time info panel provides market state and signal strength. Notes This indicator is best used as part of a broader trading strategy. It is not a standalone signal generator and should be combined with other forms of analysis. The automatic weights are optimized for Bitcoin (BTC) volatility. For other assets, you may need to adjust the weights manually. The indicator may require sufficient historical data to calculate higher and lower timeframe values accurately.
Penunjuk Pine Script®
oleh illbecmo
Multi-Timeframe Stochastic RSI ArrowsMulti-Timeframe Stochastic RSI Arrows Indicator by The Venetian Dear Moderators before you torch me alive theres nothing groundbreaking just very handy indicator for some users. This indicator provides traders with a jet fighter-style heads-up display for market momentum across multiple timeframes. By displaying Stochastic RSI directional arrows for 12 different timeframes simultaneously, it offers a comprehensive view of market conditions without requiring multiple chart windows. How It Works The indicator calculates the Stochastic RSI for each of 12 common timeframes (1m to 3M) and represents directional movements with intuitive arrows: - ▲ Green up arrow = Rising momentum - ▼ Red down arrow = Falling momentum - ◄► Yellow horizontal arrows = Flat/sideways momentum - ► Gray right arrow = Just peaked (crossed above overbought) - ◄ Gray left arrow = Just bottomed (crossed below oversold) Each timeframe's status appears with its label (e.g., "1m ▲") in a clean, vertically-stacked display using ATR-based spacing to maintain consistent visual appearance regardless of price scale. Key Features - ATR-Based Spacing : Uses Average True Range to maintain consistent distances between labels even as chart scale changes - Multi-Timeframe Analysis: Easily spot divergences and confluences across timeframes (1m, 3m, 5m, 15m, 30m, 1h, 2h, 4h, 1D, 1W, 1M, 3M) - Sensitivity Control: Adjust flat detection sensitivity to filter out noise - Customisable Appearance: Modify arrow size, vertical spacing, and show/hide timeframe labels - Overbought/Oversold Detection: Highlights when momentum has peaked or bottomed at extreme levels - Trading Applications - Trend Alignment: Quickly identify when multiple timeframes align in the same direction - Divergence Detection: Spot when shorter timeframes begin to shift against longer ones - Entry/Exit Timing: Use crossovers of significant timeframes as potential signals - Market Context: Maintain awareness of the bigger picture while trading shorter timeframes This indicator doesn't break new ground technically but excels in presenting complex multi-timeframe information in a clean, actionable format — much like a pilot's heads-up display provides critical information at a glance. The ATR-based positioning ensures consistent visibility across different instruments and market conditions. Great effort has been made for this script to adhere to TradingView's Pine Script house rules and focuses on trader usability rather than introducing novel technical concepts.
Penunjuk Pine Script®
oleh The_Venetian
1