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M-oscillator

Zero Lag Moving Average Convergence Divergence (ZLMACD) [EVAI]Zero Lag Moving Average Convergence Divergence (ZLMACD) ZLMACD is a MACD-style momentum oscillator that keeps the standard MACD structure while adding a practical “zero-lag” option through ZLEMA. It is intended for traders who like the familiar MACD workflow but want an oscillator that can respond earlier during transitions without turning into an overly noisy trigger. The indicator plots the MACD line, the signal line, and the histogram around a zero baseline. If you already understand MACD, you already understand how to read this. The difference is that you can choose whether the oscillator and signal are driven by EMA, SMA, or ZLEMA, which changes the responsiveness and smoothness of the indicator. Default behavior This script defaults to the preset mode “ZLEMA osc + EMA signal.” In this configuration, the fast and slow oscillator averages are computed using ZLEMA, while the signal line remains an EMA of the MACD line. The reason for this mix is simple: ZLEMA tends to reduce lag in the oscillator, while EMA on the signal line helps keep crossovers readable and avoids excessive micro-signals. In practice, this default preset often behaves like a “faster MACD” that still feels like MACD. It can highlight momentum turns earlier than a traditional EMA MACD while keeping the signal line stable enough to use for timing and confirmation. Custom mode and MA selection If you switch Mode to “Custom,” the indicator will use your selected moving average types for both the oscillator and the signal line. In Custom mode, the oscillator type applies to both fast and slow averages, and the signal type applies to the smoothing of the MACD line. If you are in the default preset mode, the custom MA dropdowns will not change the calculations. This is intentional: the preset locks the MA types so the default behavior remains consistent and reproducible across charts and users. Reading the indicator The histogram reflects the distance between the MACD line and the signal line. When the histogram is above zero, the MACD line is above the signal line and momentum is biased upward; when it is below zero, the MACD line is below the signal line and momentum is biased downward. Changes in histogram height help visualize strengthening versus weakening momentum, while the zero baseline provides regime context by indicating whether the fast average is above or below the slow average. Crossovers between MACD and signal behave exactly as they do in standard MACD, but the timing and “feel” will vary depending on the MA choices. ZLEMA on the oscillator typically makes turns appear earlier; SMA typically smooths more but can be slower; EMA tends to be the balanced baseline. Alerts Two alert conditions are included to detect histogram polarity shifts. One triggers when the histogram switches from non-negative to negative, and the other triggers when it switches from non-positive to positive. These are useful if you want simple notifications for momentum regime flips without staring at the chart continuously. Notes This indicator is provided for informational and educational purposes only and is not financial advice. Always test settings per instrument and timeframe and use risk management.
Pine Script® indicator
by evaiinvesting
Adaptive Strength Overlay (MTF) [BackQuant]Adaptive Strength Overlay (MTF) A multi-timeframe RSI strength visualizer that projects oscillator “pressure” directly onto price using adaptive gradient fills between percent bands. Built to make strength, exhaustion, and regime context readable at a glance, without needing to stare at a separate oscillator panel. Mean-Reversion mode example What this indicator does This indicator converts RSI strength into a chart overlay that reacts to momentum and extremes, then visualizes it as colored “pressure zones” around price. Instead of plotting RSI in a sub-window, it: Builds 1 to 3 symmetric percent bands above and below price. Computes RSI strength on up to 3 different timeframes (MTF). Smooths RSI with your selected moving average type. Maps RSI values into discrete transparency “buckets”. Fills between the bands with a gradient whose opacity reflects strength or exhaustion. Displays a compact RSI table for all enabled timeframes. Provides alert conditions for extremes and midline shifts on each timeframe. The result is an overlay that looks like a dynamic envelope. When strength rises, the envelope “lights up” in the direction of the move. When strength becomes stretched, the outer zones become visually prominent. Core idea: “Strength as an overlay” RSI is normally interpreted in a separate oscillator panel. That makes context-switching slow: You check price action. You look down at RSI. You mentally translate RSI into risk or trend bias. This script removes that translation step by projecting strength directly onto the price area, using band fills as a visual language: More visible fill = stronger strength or more extreme condition (depending on mode). Less visible fill = weak strength or neutral state. Two operating modes 1) Trend mode Trend mode emphasizes strength aligned with direction: When RSI is strong on the upside, upper bands become more visible. When RSI is strong on the downside, lower bands become more visible. Neutral RSI fades, so the chart de-clutters during chop. Use Trend mode when: You want a clean trend-following overlay. You want to quickly see which timeframe(s) are powering the move. You want to filter entries to moments when strength confirms direction. 2) Mean-Reversion mode Mean-Reversion mode flips the emphasis to highlight exhaustion against the move : Upper extremes become a “potential exhaustion” cue. Lower extremes become a “potential exhaustion” cue. The overlay is tuned to make stretched conditions obvious. This is not an automatic “short overbought / long oversold” system. It is a visualization mode that makes “extended” conditions stand out faster, especially when multiple timeframes align. How the bands work (Percent Bands) The indicator constructs up to three symmetric envelopes around price: Band 1: percent1 scaled by scale Band 2: percent2 scaled by scale (optional) Band 3: percent3 scaled by scale (optional) The percent bands are simple deviations from the selected price source: Upper = price * (1 + (percent * scaling)/100) Lower = price * (1 - (percent * scaling)/100) Why this matters: It anchors “strength visualization” to meaningful price distance. It makes the overlay comparable across assets because it’s percent-based. It gives you a consistent spatial frame for reading momentum versus extension. Multi-timeframe engine (MTF) The script runs the same strength calculation on up to three timeframes: Timeframe 1 uses the chart timeframe by default (empty string input). Timeframe 2 is optional and defaults to Daily. Timeframe 3 is optional and defaults to Weekly. Each timeframe has: Its own RSI period (len, len2, len3). Its own smoothing length (slen, slen2, slen3). The same smoothing type selection (EMA, HMA, etc). This creates a layered view: TF1 often reflects tactical pressure (entries/exits). TF2 reflects structural pressure (swing context). TF3 reflects macro bias (regime context). When multiple timeframes agree, the fills stack and the overlay becomes visually louder. When they disagree, the overlay looks mixed or muted, which is exactly the point. Smoothing options (why so many) Raw RSI can be noisy. This script lets you smooth RSI with multiple MA types, which changes how “responsive” the overlay feels: EMA/RMA smooth without lagging as hard as SMA. HMA responds faster but can be twitchy. LINREG can feel more “structural”. ALMA and T3/TEMA provide heavier smoothing profiles with different lag characteristics. This isn’t cosmetic. Your smoothing choice affects: How early the overlay “lights up” in Trend mode. How long extremes remain highlighted in Mean-Reversion mode. How often fills flicker in chop. Strength mapping (the transparency buckets) Instead of mapping RSI to a continuous color scale, the script uses a discrete transparency ladder. That creates a clean, readable visual that avoids constant flickering. The logic assigns two transparency values per timeframe: Upper-side transparency responds to lower RSI zones (weak upside strength). Lower-side transparency responds to higher RSI zones (strong upside strength). Then the script uses those transparencies differently depending on mode: Trend mode shows “strength aligned with direction”. Mean-Reversion mode swaps the emphasis so “extremes” stand out as potential stretch. You can think of it as: Trend mode highlights continuation strength. Mean-Reversion mode highlights potential exhaustion. Fill stacking (how the overlay is built) The overlay uses layered fills: Fill from price to Band 1 Fill from Band 1 to Band 2 (if enabled) Fill from Band 2 to Band 3 (if enabled) Upper side uses the negative color (typically red) and lower side uses the positive color (typically green), because upper bands represent “above price” space and lower bands represent “below price” space. The intensity is controlled by the computed transparency per timeframe and selected mode. Important behavior: Disabling Band 2 or Band 3 can change how the stacked fills look, because you are removing fill segments. If you want a clean look, run only Band 1. If you want a “regime heat” look, run Bands 1–3 with higher scaling. Table (MTF RSI dashboard) A compact table prints RSI values for each configured timeframe: Row labels show TF. Values show the smoothed RSI output that drives the overlay. Use it for quick confirmation: If overlay looks strong but table RSI is neutral, your band settings might be too tight. If TF3 RSI is extreme while TF1 is neutral, you are likely in a macro stretched regime with local consolidation. Alerts (built-in) Alerts are provided for each timeframe separately, covering: Entering upper extreme (cross above 70) Exiting upper extreme (cross below 70) Entering lower extreme (cross below 30) Exiting lower extreme (cross above 30) Bullish midline cross (cross above 50) Bearish midline cross (cross below 50) This enables workflows like: Notify when TF2 enters extreme, then wait for TF1 mean-reversion confirmation. Notify when TF3 crosses midline, then only take TF1 trend setups in that direction. How to use it (practical reads) Trend mode reads Strong continuation: TF1 and TF2 fills become clearly visible on the same side. Healthy pullback: TF1 fades but TF2 stays visible, suggesting underlying structure remains strong. Chop warning: fills alternate or remain mostly invisible, indicating neutral strength. Mean-Reversion mode reads Exhaustion zones: outer fills become prominent near the extremes, signaling stretched conditions. Compression after extreme: fill fades while price stabilizes, suggesting “cooling off” rather than immediate reversal. Multi-TF stretch: TF2 and TF3 extremes together often mark higher significance zones. Recommended setup presets Preset A: Clean trend overlay Mode: Trend Bands: only Band 1 Scale: 1–2 Smoothing: EMA, moderate slen (6–10) TF2: Daily on intraday charts Preset B: Regime and exhaustion mapper Mode: Mean-Reversion Bands: Bands 1–3 Scale: 2–4 Smoothing: T3 or RMA, slightly higher slen TF2: Daily, TF3: Weekly Limitations This is a strength visualization tool, not a full entry/exit system. Percent bands are not volatility-adjusted, they are distance frames. In very high vol conditions, you may need higher band percentages or higher scaling. MTF values update on their own timeframe closes, so higher timeframes will step rather than update every bar.
Pine Script® indicator
by BackQuant
Nexus Flow ProNexus Flow Pro is a trading tool that combines "deep trend insight" with "precise trading signals." It navigates trending waves and accurately displays reversal signals; it is one of the most logically sound and visually appealing oscillator indicators. This indicator employs a "dual-engine" logic, isolating and layering market trends: Primary Engine: Based on an enhanced T3 smoothing algorithm, it captures the market's medium- to long-term trends. Visually, it serves as the background of the main chart, providing clear trend guidance. Secondary Engine: Responsible for fine-grained momentum filtering and crossover point identification. It displays intensely contested price points in a more compact and lightweight manner, combining this with the main trend guidance to identify correct trading opportunities. Each dot represents a different voice in the market, used to observe market dynamics and identify genuine trading opportunities. Use 【Advanced Dynamic RSI Pro】 to determine market depth and avoid making the wrong entry point.
Pine Script® indicator
by mertzbrant
Quality-Controlled Trend Strategy v2 (Expectancy Focused)This script focuses on quality control rather than curve-fitting. No repainting, no intrabar tricks, no fake equity curves. It uses confirmed-bar entries, ATR-based risk, and clean trend logic so backtests reflect what could actually be traded live. If you publish scripts, this is the minimum structure worth sharing. Why this script exists TradingView’s public scripts are flooded with: repainting indicators no stop-loss logic curve-fit entries that collapse live strategies that look good only in hindsight This script is intentionally boring but honest. No repainting. No intrabar tricks. No fake equity curves The goal is quality control, not hype. What this strategy enforces ✔ Confirmed bars only ✔ Single source of truth for indicators ✔ Fixed risk structure ✔ No signal repainting ✔ Clean exits with unique IDs ✔ Works on any liquid market Trading Logic (simple & auditable) Trend filter EMA 50 vs EMA 200 Entry Pullback to EMA 50 RSI confirms momentum (not oversold/overbought) Risk ATR-based stop Fixed R:R One position at a time This is the minimum bar for a strategy to be considered publish-worthy. Why this helps TradingView quality Most low-value scripts fail because they: hide repainting logic skip exits entirely use inconsistent calculations rely on hindsight candles This strategy forces discipline: every signal is confirmed every trade has defined risk behavior is repeatable across symbols & timeframes If more scripts followed this baseline, TradingView’s public library would be far more usable.
Pine Script® strategy
by AIScripts
Stochastic MAs+ (K Logit Bands)Below is a ready-to-paste **English TradingView publish description** that is detailed enough to satisfy the “Originality & usefulness” and “Description” house-rule expectations. It explains **what is original**, **why the components are combined**, **how they work together**, and **how to use it**, including practical presets and cautions. --- ## Title **Stochastic MAs+ (K Logit Bands) — Extreme-Zone Reversion with Adaptive Percentile Bands** ## Overview This script is a **Stochastic-based extreme-zone tool** designed for traders who want signals that occur **near statistically-defined extremes**, while reducing noise and overtrading. It combines three ideas into one coherent workflow: 1. **Stochastic %K/%D with selectable smoothing MAs** (EMA/ZEMA/SMA/KAMA) 2. **Adaptive Logit Percentile Bands** computed **on %K** (not price) to define “extreme” zones dynamically 3. A **two-step signal workflow** (Touch → Re-entry → First K/D Cross) with **cooldown + invalidation rules** to suppress repeated signals in choppy markets This is not a “mashup for convenience.” The logit-percentile bands and the signal state-machine are explicitly built to **solve a common Stochastic problem**: fixed 20/80 levels are often too generic, and raw K/D crosses can fire repeatedly in ranges. The components here work together to make Stochastic extremes more **context-aware** and signals more **selective**. --- ## What makes it original / useful ### 1) Dynamic extremes based on the oscillator’s own distribution Instead of using fixed 20/80, the script builds **percentile-based bands on transformed %K values**: * **Logit transform** is used to expand sensitivity near 0 and 100 (where Stochastic tends to compress). * A rolling buffer stores recent transformed values. * **Percentiles** (e.g., 15% / 85%) define adaptive low/high bands that respond to changing volatility regimes. Result: “Extreme” zones are **relative to recent market behavior**, which is often more practical than static thresholds. ### 2) A structured signal process to reduce overtrading Classic Stochastic crossovers can spam signals. This script uses a **state-based trigger**: **Long logic** 1. %K drops below the **adaptive low band** (touch/arm) 2. %K re-enters above the low band (re-entry) 3. The first bullish crossover occurs (K crosses above D) while K remains below the mid-band **Short logic** is symmetrical. Then it adds: * **Cooldown**: prevents clustered entries during noisy periods * **Max wait**: invalidates old setups if confirmation takes too long * **Mid-band invalidation**: if K moves too far (crosses mid), the setup is considered late and discarded This turns Stochastic into a **controlled mean-reversion trigger** rather than an always-on crossover machine. --- ## How it works (plain-language) ### A) Stochastic with selectable smoothing (MAK/MAD) * `%K` is computed from the standard Stochastic formula, then smoothed with your chosen MA. * `%D` is computed by smoothing `%K` with a chosen MA. **MA options** * **EMA**: baseline responsive smoothing * **ZEMA**: reduced lag (faster reactions) * **SMA**: heavier smoothing (less noise) * **KAMA**: adaptive smoothing (reacts faster when price moves, slower in noise) ### B) K-based Logit Percentile Bands The script builds bands from **%K**, not from price: * Convert K into logit space → store in rolling buffer * Compute low/high percentiles in logit space * Convert back to 0–100 space with logistic function * Produce: **kLo / kHi / kMid** This keeps the bands stable and meaningful even when volatility changes. ### C) Signal state-machine * **Touch**: K enters extreme zone * **Re-entry**: K exits the extreme zone * **Trigger**: first K/D cross after re-entry, while still in the “early” half of the band (before mid) The idea is to catch reversals **early**, but not on the very first noisy bounce. --- ## How to use ### 1) Baseline setup (recommended starting point) These defaults are already aligned with the script’s intent: * Stoch: **21 / 3 / 7** * Bands: **bandLen 200**, **low/high 0.15/0.85**, **logitGain 1.0** * Signals: **cooldown 8**, **maxWait 24**, **Use D Direction Confirm ON** This typically produces fewer, more selective signals than traditional 14/3/3 style settings. ### 2) Interpreting the plots * **%K (purple)** and **%D (yellow)** are the smoothed oscillator lines. * **kLo / kHi / kMid** are the adaptive bands. * Labels: * **“L”** appears near the low band when a long setup completes * **“S”** appears near the high band when a short setup completes ### 3) Practical trading workflow * Prefer using signals as **timing cues**, not as a complete strategy by themselves. * Many traders combine this with: * a trend filter (e.g., EMA200 direction) * a volatility filter (avoid low-vol chop) * or higher timeframe confirmation The script is designed to give **high-quality entry timing near extremes**, but you still need a trade plan for exits and risk management. --- ## Tuning guide (fast) ### Want signals closer to extremes (more selective)? * Decrease / increase percentiles: * lowPct **0.12** and highPct **0.88** * Increase logitGain slightly: * logitGain **1.1–1.2** * Increase cooldown: * cooldown **10–14** ### Want earlier signals (faster confirmations)? * Use faster MA for %D (or reduce periodD): * maD = **ZEMA** (or EMA) * Reduce cooldown a bit: * cooldown **5–8** ### Getting too many signals in ranges? * Increase periodK to reduce chop: * periodK **34** * Increase cooldown * Keep D confirm enabled --- ## Strengths * **Adaptive extreme zones**: bands adjust to changing regimes (better context than static 20/80) * **Reduced noise**: the Touch→Re-entry→Cross structure avoids many “random” crosses * **Configurable smoothing**: lets you tune response vs stability via MA type * **Risk-friendly by design**: cooldown + invalidation reduce repeated entries during chop ## Limitations * **Not a full strategy**: no position management, take-profit/stop rules, or trend filter included * **Mean-reversion bias**: in strong trends, Stochastic can stay overbought/oversold for long periods * **Band buffer needs history**: percentile bands are more reliable after enough bars have accumulated (bandLen) --- ## Notes on repainting / confirmations * The percentile band buffer uses **confirmed bars** (optional) to avoid unstable band updates during an incomplete candle. * Signal labels are plotted when the full signal conditions are met (you can enforce confirmed-bar signals via settings). --- ## Suggested disclaimer (TradingView-friendly) This indicator is for research and educational purposes and does not constitute financial advice. Always test settings on your market/timeframe and use proper risk management.
Pine Script® indicator
by illbecmo
Goldilocks Pivot FractalsGOLDILOCKS PIVOT FRACTALS - DESCRIPTION Overview Goldilocks Pivot Fractals identifies swing highs and lows using fractal pattern recognition with professional visual presentation. This indicator marks potential reversal points where price creates distinct peaks and valleys - perfect pivot points for support, resistance, and market structure analysis. The "Goldilocks" name reflects the perfectly balanced visual presentation: not too cluttered, not too plain, just right for professional traders. Unlike standard fractal indicators, this edition features fully customizable Buy/Sell labels with tick-based positioning, independent toggle controls, and a high-contrast color scheme optimized for both dark and light chart themes. What Makes It Unique: - Professional label system with full customization (colors, sizes, tick-based offsets) - Toggle labels and arrow shapes independently - High-contrast default colors (teal/maroon) optimized for maximum visibility - Clean, trader-friendly interface with intuitive settings - Works flawlessly on all timeframes and instruments How to Use PERIOD ADJUSTMENT & ADJUSTING SENSITIVITY The Period(s) setting controls how many signals you see: • Period = 2 (default): Shows more signals, catches smaller price swings - best for day trading and scalping • Period = 3-4: Shows medium amount of signals, filters out tiny moves - good for swing trading (holding days to weeks) • Period = 5 or higher: Shows fewer signals, only the biggest turning points - best for long-term position trading - Simple rule: Lower number = more signals. Higher number = fewer, but stronger signals. SIGNALS 🟢 "BUY Label" (Down Fractal) - Marks swing lows and potential support zones - Look for price bouncing up after the fractal forms - Use for identifying pullback entry points in uptrends - Place stops below recent BUY fractals 🔴 "SELL Label" (Up Fractal) - Marks swing highs and potential resistance zones - Look for price rejecting down after the fractal forms - Use for identifying profit targets or short entries - Place stops above recent SELL fractals REPAINTING BEHAVIOR ⚠️ This indicator repaints by design. Fractals require N bars on both sides to confirm, so they appear N bars after the actual pivot point. This is normal and ensures accurate pivot identification. Wait for complete confirmation before trading. TRADING APPLICATIONS 1. Support/Resistance: Mark key price levels for entries and exits 2. Market Structure: higher BUY fractals = uptrend, lower SELL fractals = downtrend 3. Stop Placement: Use recent fractals as logical stop-loss levels 4. Breakout Trading: Monitor price breaking above/below fractal levels 5. Trend Following: Enter on pullbacks to BUY fractals in uptrends 6. Swing Trading: Identify major swing points for position entries CUSTOMIZATION OPTIONS • Show BUY/SELL Labels**: Toggle professional text labels on/off • Show Shapes: Toggle arrow shapes independently • Offset (ticks): Adjust label distance from price bars for perfect positioning • Colors: Customize backgrounds (default: teal/maroon) and text (default: white/yellow) • Label Size: Choose from tiny, small, normal, large, or huge The high-contrast default colors provide excellent visibility without adjustment, but full customization is available to match any chart theme. Key Settings Periods (n) (default: 2): Number of bars on each side of pivot. Lower = more signals, Higher = fewer, stronger signals Show BUY/SELL Labels (default: ON): Display professional text labels Show Shapes (default: ON): Display arrow shapes BUY offset (ticks) (default: 8): Distance BUY labels appear below lows SELL offset (ticks) (default: 8): Distance SELL labels appear above highs Colors: Full customization - defaults optimized for visibility Label size (default: normal): Visual prominence control Key Features ✅ Professional pivot fractal detection ✅ Fully customizable Buy/Sell labels ✅ Independent toggle for labels and shapes ✅ Tick-based offset positioning ✅ High-contrast color scheme ✅ Works on all timeframes and instruments ✅ Clean, intuitive interface ✅ Adjustable sensitivity ✅ Perfect for support/resistance identification ✅ Ideal for market structure analysis
Pine Script® indicator
by NPR21
1
IronRod Trigger SystemIRONROD TRIGGER SYSTEM DESCRIPTION IronRod Trigger System is a momentum oscillator based on the Stochastic Momentum Index (SMI) that identifies trend changes, momentum shifts, and range-bound "chop" zones. Features color-changing SMI lines, histogram columns showing momentum strength, and a visual chop zone that highlights when to trade versus when to stay on the sidelines. The system combines momentum direction (green/red lines), momentum strength (histogram columns), and market context (chop zone cloud) into one clean visual package. The dynamic zero line changes color to signal trade conditions (cyan) versus hold conditions (orange). What Makes It Unique: Dual color-changing lines (SMI and AvgSMI) show momentum direction Histogram columns display momentum strength Chop zone cloud identifies low-momentum periods Dynamic zero line (cyan = trade, orange = hold) Three-color histogram (green = strong up, red = strong down, gray = weak) Adjustable chop zone threshold How to Use THE DISPLAY Lines: Green = bullish momentum (rising) Red = bearish momentum (falling) Gray = neutral/sideways Histogram Columns: Green = strong bullish momentum Red = strong bearish momentum Gray = weak/choppy momentum Zero Line: Cyan (blue) = trade zone - momentum is directional Orange = chop zone - momentum is weak, avoid trading Chop Zone Cloud: Gray shaded area = range where momentum is indecisive (±30 default) TRADING STRATEGIES 1. Chop Zone Trading Trade: Only when SMI is outside gray cloud AND zero line is cyan Avoid: When SMI is inside cloud OR zero line is orange Long: Green line appears above chop zone Short: Red line appears below chop zone This is the key feature - dramatically reduces whipsaws 2. Zero Line Crosses Buy: SMI crosses above zero with cyan zero line Sell: SMI crosses below zero with cyan zero line Strongest signals when AvgSMI follows SMI across zero Ignore crosses when zero line is orange (choppy) 3. Histogram Strength Strong trend: Multiple consecutive green/red columns Momentum building: Columns getting taller Momentum fading: Columns turning gray = exit warning Reversal signal: Gray columns after strong trend 4. Divergence Trading Bearish divergence: Price higher high, SMI lower high → take red line signal Bullish divergence: Price lower low, SMI higher low → take green line signal Most powerful outside chop zone ENTRIES & EXITS Entries: SMI line turns green outside chop zone (long) SMI line turns red outside chop zone (short) SMI crosses zero with cyan zero line Exits: SMI line changes color SMI enters chop zone (orange zero line) Histogram turns gray Stops: Below recent swing low (longs) Above recent swing high (shorts) ADJUSTING SETTINGS Chop Zone (±) (default: 30): Lower (15-25) = More trades, more whipsaws Higher (35-50) = Fewer trades, higher quality Adjust based on instrument volatility Percent K Length (default: 5): Lower (3-4) = More sensitive, faster signals - good for scalping Higher (7-10) = Less sensitive, smoother - good for swing trading Percent D Length (default: 4): Controls smoothing SMI Bar Buffer (default: 4): Histogram color sensitivity TIMEFRAME GUIDE Scalping (1-5m): K=3, watch histogram color flips Day trading (15-60m): Default settings, focus on zero crosses outside chop Swing trading (4H-Daily): K=7-10, trade only strong trends outside chop Key Settings Percent K Length (default: 5): Lookback period - controls sensitivity Percent D Length (default: 4): Smoothing period Chop Zone (±) (default: 30): Range-bound zone threshold SMI Bar Buffer (default: 4): Histogram color change sensitivity Histogram Width (default: 1): Column thickness Key Features ✅ Dual color-changing momentum lines ✅ Histogram columns show strength ✅ Chop zone cloud filters bad trades ✅ Dynamic zero line color ✅ Three-color histogram ✅ Adjustable chop threshold ✅ All timeframes ✅ Reduces whipsaws
Pine Script® indicator
by NPR21
SMI Trigger SystemSMI TRIGGER SYSTEM - DESCRIPTION Overview SMI Trigger System is a momentum oscillator that identifies trend changes and reversals using the Smoothed Stochastic Momentum Index (SMI). Features a color-changing line (green = bullish, red = bearish), cloud shading for momentum zones, and triangle markers that appear exactly when momentum flips. What Makes It Unique: Real-time color-changing momentum line Cloud shading split at zero line Triangle triggers at exact momentum flip points Overbought/oversold limit lines Built-in alerts for all key signals Fully customizable appearance Works on all timeframes How to Use THE DISPLAY Green line/cloud: Bullish momentum Red line/cloud: Bearish momentum Above zero: Bulls in control Below zero: Bears in control Upper limit (+40): Overbought Lower limit (-40): Oversold SIGNALS 🟢 Green Triangle (▲) - Momentum flipping bullish. Buy signal, most powerful below zero. 🔴 Red Triangle (▼) - Momentum flipping bearish. Sell signal, most powerful above zero. TRADING STRATEGIES 1. Trend Following In uptrends: Only take green triangles, ignore red In downtrends: Only take red triangles, ignore green Use higher timeframe for trend, lower for entries Example: Daily uptrend → trade green triangles on 1H chart 2. Limit Reversals Red triangle at upper limit (+40) = strong reversal signal, go short Green triangle at lower limit (-40) = strong reversal signal, go long Wait for triangle AND price confirmation Most reliable on 4H/Daily timeframes 3. Zero Line Trading SMI crosses above zero → bullish bias, take green triangles SMI crosses below zero → bearish bias, take red triangles Zero acts as momentum baseline 4. Divergence Setups Price higher high + SMI lower high = bearish divergence → take next red triangle Price lower low + SMI higher low = bullish divergence → take next green triangle Most powerful at overbought/oversold limits ENTRIES & EXITS Enter: On triangle appearance Stop: Beyond recent opposite-color triangle Target: Limit levels or opposite triangle Add: Additional same-color triangles in strong trends TIMEFRAME GUIDE Scalping (1-5m): Lower %K to 3-4, take all trend-aligned triangles Day trading (15-60m): Default settings (5/3), focus on limit reversals Swing trading (4H-Daily): Higher %K to 7-10, trade only extreme readings ADJUSTING SENSITIVITY SMI %K Length (default: 5): Lower (3-4) = More signals, faster - good for scalping Higher (7-10) = Fewer signals, stronger - good for swing trading SMI %D Length (default: 3): Lower (1-2) = More responsive Higher (5-7) = Smoother ALERTS Built-in alerts for: Triangle appears (momentum flips) SMI crosses zero (trend change) SMI crosses limits (overbought/oversold) Enable in settings, configure in TradingView alert dialog. CUSTOMIZATION Toggle cloud/triangles on/off Adjust triangle size and positioning Customize all colors Triangle label cap prevents clutter Key Settings SMI %K Length (default: 5): Controls sensitivity and signal frequency SMI %D Length (default: 3): Controls smoothing SMI Limit (default: 40): Overbought/oversold threshold Show SMI Cloud (default: ON): Cloud shading Show SMI Flip Triangles (default: ON): Trigger markers Triangle Size/Offset: Appearance customization Enable Alerts (default: ON): Alert notifications Key Features ✅ Color-changing momentum line ✅ Cloud shading for momentum zones ✅ Triangle triggers at exact flips ✅ Overbought/oversold limits ✅ Built-in alert system ✅ Fully customizable ✅ All timeframes ✅ Adjustable sensitivity NPR21 Disclaimer The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by TradingView.
Pine Script® indicator
by NPR21
3
DCA + VA (Value Averaging) | UA versionDCA + VA (Value Averaging) | UA version DCA + VA is a practical portfolio simulator for TradingView that compares two long-term investing approaches on any symbol: • DCA (Dollar-Cost Averaging) — invest a fixed amount on a fixed schedule. • VA (Value Averaging) — invest (and optionally sell) to keep the invested part of the portfolio close to a target growth path. The indicator is plotted in a separate lower pane and is designed for realistic capital efficiency analysis, including the effect of cash sitting idle (“cash drag”). What you see on the chart • Two thick yellow lines — DCA line: portfolio value under classic DCA — VA line: portfolio value under Value Averaging • Trade dots — Small green dots : buys — Small red dots : sells (VA only, if enabled) • UA table + right-side labels — key portfolio metrics for both strategies Core assumptions • Trades are executed at bar close ( close ) • Dividends and broker commissions are ignored (for now) • Optional tax logic is available for VA sells: tax is applied to realized profit using average cost basis Line mode • Капітал+Кеш (default): shows total portfolio value = holdings + cash (honest “cash drag”) • Лише капітал : shows holdings value only (invested part) DCA logic (classic) Start from Start date . On each scheduled period ( Week / Month / Half-year / Year ) the script: • adds the deposit amount to cash • buys the asset for that amount (if cash is available) VA logic (Value Averaging) VA maintains a target value for the invested holdings (asset value only, cash not included ). On each VA step: Regular deposit is added to VA cash Target is updated by period growth g (derived from annual CAGR and selected frequency) If holdings value is below target → buy using cash (optionally add extra if enabled) If holdings value is above target and selling is enabled → sell down to target (cash increases; optional profit tax applies) Target update formula: Target = Target × (1 + g) + Regular deposit Optional controls • Sell excess ( vaSellExcess ): allow sells when above target • Add extra on drawdowns ( vaAddExtra ): allow additional contributions when cash isn’t enough • Max extra per period ( vaMaxExtra ): cap extra contributions ( 0 = unlimited ) • Tax on sells ( vaUseTax / vaTaxRate ): apply tax to realized profit (average cost basis) Table metrics (UA) For both DCA and VA: • Накопичено — total contributed cash • Інвестовано — current invested cost basis • Кеш — cash balance • Капітал — portfolio value (based on selected line mode) • Прибуток % — ROI in percent • CAGR стратегії — annualized return based on elapsed time Best use (recommended settings) • Best timeframe: 1W Weekly candles make long-term simulations cleaner and more realistic: less noise, fewer “micro” fluctuations, and more stable periodic triggers for DCA/VA steps. • Recommended workflow: Set chart timeframe to 1W Choose deposit frequency (usually Тиждень or Місяць ) Start with Капітал+Кеш to see true cash drag Compare DCA vs VA using Прибуток % and CAGR (not only absolute $) • How to interpret results: — If VA has higher capital but lower ROI %, it usually means you contributed more (extra funding enabled). — If VA sells rarely, your target path may be aggressive (high CAGR + large deposits), so holdings don’t exceed the target often. Notes • If VA shows higher capital but lower profit % , it usually means more total contributions (extra funding enabled). • Sells can be rare if the target path grows aggressively (high CAGR + large deposits).
Pine Script® indicator
by livesey83
SCR Signals(개요) 스토캐스틱, CCI, RSI를 결합한 지표입니다. 편의상 SCR이라고 명명할게요 * 블로거 'SOXL연구원님의 SCR을 지표화했습니다. (지표설명) 1. 스토캐스틱은 %K길이, %K스무딩, %D스무딩이 각각 5,1,3 이 기본입니다. 어퍼밴드(과매수)는 80, 로우어밴드(과매도)는 20이며 설정해서 수정 가능합니다. 2. CCI는 길이 20이 기본입니다. 어퍼밴드(과매수)는 100, 로우어밴드(과매도)는 -100이며 역시 설정에서 변경가능합니다. 3. RSI 길이 14가 기본입니다. 어퍼밴드(과매수)는 70, 로우어밴드(과매도)는 30이며 역시 설정에서 변경가능합니다. (시그널) 세개 지표 중 1개지표가 동시에 과매수 해소되는 순간 S1, 2개지표가 동시에 과매수 해소되는 순간 S2, 3개지표 동시에 과매수 해소시 S3로 하고 캔들 위쪽에 표시 / 세개 지표 중 1개지표가 과매도 진입시 B1, 2개지표가 동시에 과매도 진입시 B2, 3개지표가 동시에 과매도 진입시 B3로 하고 캔들 아래쪽에 표시 Overview SCR is a combined signal system built from Stochastic, CCI, and RSI. For convenience, I call this indicator SCR. This script is an implementation/visualization of the SCR concept shared by the blogger “SOXL Researcher” (SOXL연구원). Indicator Settings Stochastic Default parameters: %K Length = 5, %K Smoothing = 1, %D Smoothing = 3 Default bands: Overbought (Upper) = 80, Oversold (Lower) = 20 All values can be changed in the settings. CCI Default length: 20 Default bands: Overbought (Upper) = 100, Oversold (Lower) = -100 All values can be changed in the settings. RSI Default length: 14 Default bands: Overbought (Upper) = 70, Oversold (Lower) = 30 All values can be changed in the settings. Signals (Plotted on the Main Price Chart) Signals are generated when the indicators trigger their conditions on the same bar (simultaneously). Overbought Resolution Signals (S) — plotted above candles S1: Exactly 1 of the three indicators resolves overbT (overbought resolution) on the same bar S2: Exactly 2 indicators resolve overbought on the same bar S3: All 3 indicators resolve overbought on the same bar Oversold Entry Signals (B) — plotted below candles B1: Exactly 1 of the three indicators enters oversold on the same bar B2: Exactly 2 indicators enter oversold on the same bar B3: All 3 indicators enter oversold on the same bar
Pine Script® indicator
by lisnuby
Multi-Indicator DashboardMulti-timeframe trading dashboard overlay on your chart. Analyzes Trend, Momentum, Swing, Strength, Direction, Volatility, and delivers a final VIEW (Bullish/Bearish/Flat) across 5 key timeframes. Perfect for quick multi-TF alignment checks! W → D → 2H → 1H → 15M Features Color-Coded Cells: Green (Bullish), Red (Bearish), Gray (Neutral). Historical Mode: Toggle "Enable Historical View" → Slider picks N bars back (chart TF-aware: e.g., 10 bars = 2.5H on 15M). Yellow vertical line + date label marks the exact bar Quick Setup Add to chart → Customize inputs. Historical: Enable + slide "Bars Back" for past data snapshots. Views Update Live: Real-time on current/historical bars.
Pine Script® indicator
by prabhu_ken01
Market Entropy [Alpha Extract]A sophisticated information theory-based market analysis system that measures price randomness and structural order using Shannon entropy calculations across price, returns, and volume distributions. Utilizing adaptive percentile-based thresholds and multi-timeframe confirmation, this indicator delivers institutional-grade regime classification distinguishing between structured trending conditions and chaotic ranging environments. The system's composite entropy framework combined with dynamic gradient visualization and MTF alignment validation provides comprehensive market state assessment for optimal strategy selection and risk management. 🔶 Advanced Shannon Entropy Engine Implements pure information theory methodology using histogram distribution analysis with configurable bin counts to calculate normalized entropy values for price, returns, and volume metrics. The system constructs probability distributions from rolling windows, applies logarithmic entropy calculations, and normalizes against theoretical maximum entropy to produce 0-1 bounded measurements of market randomness and predictability. float entropy = 0.0 float total = float(len) for i = 0 to bins - 1 float count = array.get(bin_counts, i) if count > 0 float prob = count / total entropy -= prob * math.log(prob) / math.log(2) float max_entropy = math.log(bins) / math.log(2) result := entropy / max_entropy 🔶 Adaptive Percentile Threshold System Features intelligent threshold determination using rolling percentile calculations over configurable calibration periods to establish structure and chaos zones that adapt to changing market characteristics. The system calculates lower percentile for structure threshold (ordered markets) and upper percentile for chaos threshold (random markets), enabling regime classification that adjusts automatically to market evolution. 🔶 Multi-Timeframe Alignment Framework Implements comprehensive MTF entropy analysis retrieving composite entropy from three configurable higher timeframes with alignment validation logic. The system calculates divergence between current timeframe entropy and higher timeframe values, generating confirmation signals only when all timeframes exhibit entropy agreement within tolerance bands for enhanced signal reliability. 🔶 Three-Regime Classification Engine Provides sophisticated market state determination classifying conditions as structure (entropy below lower threshold), chaos (entropy above upper threshold), or neutral (entropy between thresholds) with regime strength measurement. The system tracks regime transitions and calculates conviction scores based on distance from thresholds, enabling nuanced assessment of market order versus randomness. 🔶 Composite Entropy Architecture Combines three distinct entropy measurements weighted by relevance to create unified market randomness metric with exponential smoothing for stability. The system applies 40% weight to price entropy (distribution shape), 35% to return entropy (movement patterns), and 25% to volume entropy (participation randomness), capturing comprehensive market microstructure information. 🔶 Dynamic Gradient Visualization System Features advanced color blending engine that transitions between primary and secondary colors based on entropy momentum intensity with glow effects for conviction emphasis. The system calculates entropy rate of change, normalizes against recent extremes, and applies smooth color interpolation from secondary to primary hues as momentum intensifies, creating intuitive visual representation of regime strength. 🔶 Intelligent Zone Fill Architecture Implements multi-layer gradient fills within structure and chaos zones that intensify as entropy moves deeper into extremes, providing immediate visual feedback on regime conviction. The system creates three-tier gradient levels at 33%, 66%, and 100% penetration into zones with progressively lower transparency, emphasizing extreme entropy conditions requiring attention. 🔶 Momentum-Based Divergence Detection Generates entry signals when entropy crosses below bull divergence level or above bear divergence level, identifying potential regime transitions before price confirmation. The system monitors entropy momentum direction during threshold crossings and validates with MTF alignment, producing high-probability reversal signals at entropy extremes. 🔶 Normalized Display Framework Provides 0-100 scaled visualization using adaptive min-max normalization calculated from percentile analysis, ensuring consistent visual interpretation across different market conditions and instruments. The system transforms raw composite entropy into normalized space with dynamic thresholds, enabling cross-market and cross-timeframe entropy comparison. 🔶 Regime Strength Measurement Calculates conviction scores measuring depth of entropy penetration into structure or chaos zones relative to historical ranges, quantifying how definitively current conditions favor trending versus ranging strategies. The system produces 0-1 strength values that modulate visual intensity and can inform position sizing or strategy allocation decisions. 🔶 Performance Optimization Framework Utilizes efficient array operations with optimized histogram calculations and configurable lookback limits to balance accuracy with computational efficiency. The system includes intelligent caching of percentile calculations and streamlined probability summations for smooth real-time entropy updates across extended historical periods. 🔶 Why Choose Market Entropy ? This indicator delivers sophisticated market regime analysis through pure information theory methodology measuring actual randomness versus structure in price behavior. Unlike traditional volatility or trend indicators that measure price movement characteristics, Market Entropy quantifies the fundamental predictability of market conditions using Shannon entropy calculations. The system's composite approach combining price, return, and volume distributions with adaptive thresholds, MTF confirmation, and gradient visualization makes it essential for traders seeking objective regime classification to optimize strategy selection. Low entropy (structure zone) indicates ordered, trending conditions favorable for directional strategies, while high entropy (chaos zone) signals random, ranging markets better suited for mean reversion or reduced exposure. The indicator excels at identifying regime transitions before they become obvious in price action across cryptocurrency, forex, and equity markets.
Pine Script® indicator
by AlphaExtract
Nuh's Complete Multi-Timeframe Dashboard v4.0Nuh's Complete Multi-Timeframe Dashboard v4.0 - Unified Power System Professional Multi-Timeframe Technical Analysis Dashboard Nuh's Complete Multi-Timeframe Dashboard v4.0 represents a comprehensive trading analysis system that unifies 20 powerful technical indicators across up to 6 customizable timeframes into a single, intelligent dashboard. This advanced indicator combines trend analysis (EMA, Alpha Trend, SuperTrend, ADX, DI), momentum oscillators (RSI, Stochastic RSI, MACD, CCI, Williams %R, WaveTrend, KST), volume indicators (OBV, CMF, Volume Analysis, MFI), and volatility measures (Squeeze Momentum, Bollinger Bands, ATR, Williams VIX Fix) to provide traders with a holistic market perspective. Each indicator can be independently enabled or disabled, allowing complete customization based on your trading strategy and preferences. The revolutionary Weighted Power System is the core innovation of this dashboard, transforming raw indicator signals into actionable market power scores. Unlike traditional dashboards that simply count bullish or bearish signals, this system applies sophisticated weighting to each indicator based on your chosen preset (Balanced, Trend Focus, Momentum Focus, Volume Focus) or custom weights. It then combines these weighted signals across multiple timeframes—with timeframe-specific weighting for scalping, day trading, or swing trading styles—to calculate an Overall Market Power score. This provides you with clear percentage-based bullish and bearish power readings, eliminating guesswork and enabling confident trade decisions backed by mathematical confluence. Built for serious traders who demand precision and flexibility, the dashboard features a fully customizable display with 20 indicator rows that can be reordered to match your preferences, color-coded gradient visualization for instant market sentiment recognition, and integrated Wundertrading-compatible alerts for automated trading. The system supports both legacy count-based alerts and modern power-threshold alerts, allowing you to receive notifications when market conditions meet your specified confluence requirements. Whether you're scalping on lower timeframes or swing trading on higher timeframes, this professional-grade tool adapts to your trading style while maintaining clean, readable visualization that won't clutter your charts.
Pine Script® indicator
by nuhkoc1960
Harmonic Liquidity Waves [JOAT]Harmonic Liquidity Waves Overview Harmonic Liquidity Waves is an open-source oscillator indicator that combines multiple volume-based analysis techniques into a unified liquidity flow framework. It integrates VWAP calculations, Chaikin Money Flow (CMF), Money Flow Index (MFI), and Klinger Volume Oscillator (KVO) with custom harmonic wave calculations to provide a comprehensive view of volume dynamics and money flow. What This Indicator Does The indicator calculates and displays: Liquidity Flow - Volume-weighted price movement accumulated over a lookback period Harmonic Wave - Multi-depth smoothed oscillator derived from liquidity flow Chaikin Money Flow (CMF) - Classic accumulation/distribution indicator Money Flow Index (MFI) - Volume-weighted RSI showing buying/selling pressure Klinger Volume Oscillator (KVO) - Trend-volume relationship indicator Wave Interference - Combined constructive/destructive wave patterns Volume Profile POC - Point of Control from simplified volume distribution How It Works The core liquidity flow calculation tracks volume-weighted price changes: calculateLiquidityFlow(series float vol, series float price, simple int period) => float priceChange = ta.change(price) float volumeFlow = vol * math.sign(priceChange) // Accumulated over period using buffer array float avgFlow = flowSum / period avgFlow The harmonic oscillator applies multi-depth smoothing: harmonicOscillator(series float flow, simple int depth, simple int period) => float harmonic = 0.0 for i = 1 to depth float wave = ta.ema(flow, period * i) / i harmonic += wave harmonic / depth CMF measures accumulation/distribution using the Money Flow Multiplier: float mfm = ((close - low) - (high - close)) / (high - low) float mfv = mfm * vol float cmf = ta.sum(mfv, period) / ta.sum(vol, period) * 100 Signal Generation Liquidity shift signals occur when: Bullish Shift: Smoothed wave crosses above signal line Bearish Shift: Smoothed wave crosses below signal line Strong signals require volume indicator confirmation: Strong Bull: Bullish shift + CMF > 0 + MFI > 50 + KVO > 0 Strong Bear: Bearish shift + CMF < 0 + MFI < 50 + KVO < 0 Divergence detection compares price pivots with liquidity wave pivots to identify potential reversals. Dashboard Panel (Bottom-Right) Wave Strength - Normalized wave magnitude Volume Pressure - Current volume vs average percentage Flow Direction - BUYING or SELLING based on wave sign Histogram - Wave minus signal line value CMF - Chaikin Money Flow reading MFI - Money Flow Index value (0-100) KVO - Klinger oscillator value Vol Confluence - Combined volume indicator score Signal - Current actionable status Visual Elements Liquidity Wave - Main oscillator line Wave Signal - Smoothed signal line for crossover detection Wave Histogram - Difference between wave and signal Wave Interference - Area plot showing combined wave patterns CMF/KVO/MFI Lines - Individual volume indicator plots Divergence Labels - BULL DIV / BEAR DIV markers Shift Markers - Triangles for basic shifts, labels for strong shifts Input Parameters Wave Period (default: 21) - Base period for liquidity calculations Volume Weight (default: 1.5) - Multiplier for volume emphasis Harmonic Depth (default: 3) - Number of smoothing layers Smoothing (default: 3) - Final wave smoothing period Suggested Use Cases Identify accumulation/distribution phases using CMF and wave direction Confirm momentum with MFI overbought/oversold readings Watch for divergences between price and liquidity flow Use strong signals when multiple volume indicators align Timeframe Recommendations Best on 15m to Daily charts. Volume-based indicators require sufficient trading activity for meaningful readings. Limitations Volume data quality varies by exchange and instrument Divergence detection uses pivot-based lookback and may lag Volume Profile POC is simplified and not a full profile analysis Open-Source and Disclaimer This script is published as open-source under the Mozilla Public License 2.0 for educational purposes. It does not constitute financial advice. Past performance does not guarantee future results. Always use proper risk management. - Made with passion by officialjackofalltrades
Pine Script® indicator
by officialjackofalltrades
[RoyalNeuron] RSI-SMA [WidowMaker v1.0]Hey everyone,👋 This is WidowMaker v1.0 — my free take on a really clean, zero-lag smoothed RSI that actually helps you see momentum without all the noise. What makes it different: - Smoothed RSI (you pick SMA or EMA) so it doesn’t whipsaw as much as the default one - Green line when momentum is rising, red when it’s falling — super easy to read at a glance - Histogram turns solid green for strong upward push, solid red when things are fading - Very faint green background in oversold (buy zone) and faint red in overbought (caution zone) Quick way to use it: - Green line + solid green histogram near the bottom (oversold) → good spot for longs - Red line + solid red histogram near the top (overbought) → time to think about shorts or taking profit I made it because I was tired of cluttered indicators that look cool but don’t help much in real trading. I am thinking of an updated version, still thinking of what to add so that to add value. Would love your honest feedback — like it, use it, tell me what you’d add. More free tools on the way! Cheers, RoyalNeuron 👑 RSI, Smoothed RSI, Momentum, Oscillator, Overbought, Oversold, Histogram, Green Red, Free, Alerts
Pine Script® indicator
by RoyalNeuron
Relative Strength Index SmoothedDefinition The Relative Strength Index (RSI) is a well versed momentum based oscillator which is used to measure the speed (velocity) as well as the change (magnitude) of directional price movements. Essentially RSI, when graphed, provides a visual mean to monitor both the current, as well as historical, strength and weakness of a particular market. The strength or weakness is based on closing prices over the duration of a specified trading period creating a reliable metric of price and momentum changes. Given the popularity of cash settled instruments (stock indexes) and leveraged financial products (the entire field of derivatives); RSI has proven to be a viable indicator of price movements. History J.Welles Wilder Jr. is the creator of the Relative Strength Index. A former Navy mechanic, Wilder would later go on to a career as a mechanical engineer. After a few years of trading commodities, Wilder focused his efforts on the study of technical analysis. In 1978 he published New Concepts in Technical Trading Systems. This work featured the debut of his new momentum oscillator, the Relative Strength Index, better known as RSI. Over the years, RSI has remained quite popular and is now seen as one of the core, essential tools used by technical analysts the world over. Some practitioners of RSI have gone on to further build upon the work of Wilder. One rather notable example is Andrew Cardwell who used RSI for trend confirmation. Calculation RSI = 100 – 100/ (1 + RS) RS = Average Gain of n days UP / Average Loss of n days DOWN For a practical example, the built-in Pine Script function rsi(), could be replicated in long form as follows. change = change(close) gain = change >= 0 ? change : 0.0 loss = change < 0 ? (-1) * change : 0.0 avgGain = rma(gain, 14) avgLoss = rma(loss, 14) rs = avgGain / avgLoss rsi = 100 - (100 / (1 + rs)) "rsi", above, is exactly equal to rsi(close, 14). The basics As previously mentioned, RSI is a momentum based oscillator. What this means is that as an oscillator, this indicator operates within a band or a set range of numbers or parameters. Specifically, RSI operates between a scale of 0 and 100. The closer RSI is to 0, the weaker the momentum is for price movements. The opposite is also true. An RSI closer to 100 indicates a period of stronger momentum. - 14 days is likely the most popular period, however traders have been known to use a wide variety of numbers of days. What to look for Overbought/Oversold Wilder believed that when prices rose very rapidly and therefore momentum was high enough, that the underlying financial instrument/commodity would have to eventually be considered overbought and a selling opportunity was possibly at hand. Likewise, when prices dropped rapidly and therefore momentum was low enough, the financial instrument would at some point be considered oversold presenting a possible buying opportunity. There are set number ranges within RSI that Wilder consider useful and noteworthy in this regard. According to Wilder, any number above 70 should be considered overbought and any number below 30 should be considered oversold. An RSI between 30 and 70 was to be considered neutral and an RSI around 50 signified “no trend”. Some traders believe that Wilder’s overbought/oversold ranges are too wide and choose to alter those ranges. For example, someone might consider any number above 80 as overbought and anything below 20 as oversold. This is entirely at the trader’s discretion. Divergence RSI Divergence occurs when there is a difference between what the price action is indicating and what RSI is indicating. These differences can be interpreted as an impending reversal. Specifically there are two types of divergences, bearish and bullish. Bullish RSI Divergence – When price makes a new low but RSI makes a higher low. Bearish RSI Divergence – When price makes a new high but RSI makes a lower high. Wilder believed that Bearish Divergence creates a selling opportunity while Bullish Divergence creates a buying opportunity. Failure Swings Failure swings are another occurrence which Wilder believed increased the likelihood of a price reversal. One thing to keep in mind about failure swings is that they are completely independent of price and rely solely on RSI. Failure swings consist of four “steps” and are considered to be either Bullish (buying opportunity) or Bearish (selling opportunity). Bullish Failure Swing RSI drops below 30 (considered oversold). RSI bounces back above 30. RSI pulls back but remains above 30 (remains above oversold) RSI breaks out above its previous high. Bearish Failure Swing RSI rises above 70 (considered overbought) RSI drops back below 70 RSI rises slightly but remains below 70 (remains below overbought) RSI drops lower than its previous low. Cardwell’s trend confirmations Of course no one indicator is a magic bullet and almost nothing can be taken simply at face value. Andrew Cardwell, who was mentioned earlier, was one of those students who took Wilder’s RSI interpretations and built upon them. Cardwell’s work with RSI led to RSI being a great tool not just for anticipating reversals but also for confirming trends. Uptrends/Downtrends Cardwell made keen observations while studying Wilder’s ideas of divergence. Cardwell believed that: Bullish Divergence only occurs in a Bearish Trend. Bearish Divergence only occurs in an Bullish Trend. Both Bullish and Bearish Divergence usually cause a brief price correction and not an actual trend reversal. What this means is that essentially Divergence should be used as a way to confirm trends and not necessarily anticipate reversals. Reversals Cardwell also discovered what are referred to as Positive and Negative Reversals. Positive and Negative Reversals are basically the opposite of Divergence. Positive Reversal occurs when price makes a higher low while RSI makes a lower low. Price proceeds to rise. Positive Reversals only occur in Bullish Trends. Negative Reversal occurs when price makes a lower high while RSI makes a higher high. Price proceeds to fall. Negative Reversals only occur in Bearish Trends. Positive and Negative Reversals can be boiled down to cases where price outperformed momentum. And because Positive and Negative Reversals only occur in their specified trends, they can be used as yet another tool for trend confirmation. Summary For more than four decades the Relative Strength Index (RSI) has been an extremely valuable tool for almost any serious technical analyst. Wilder’s work with momentum laid the groundwork for future chartists and analysts to dive in deeper to further explore the implications of his RSI modeling and its correlation with underlying price movements. As such, RSI is simply one of the best tools or indicators in a trader’s arsenal of market metrics to develop most any trading methodology. Only the novice will take one look at RSI and assume which direction the market will be heading next based off of one number. Wilder believed that a bullish divergence was a sign that the market would soon be on the rise, while Cardwell believed that such a divergence was merely a slight price correction on the continued road of a downward trend. As with any indicator, a trader should take the time to research and experiment with the indicator before relying on it as a sole source of information for any trading decision. When used in proper its perspective, RSI has proven to be a core indicator and reliable metric of price, velocity and depth of market.
Pine Script® indicator
by cpolaritz2
Williams %R Smoothed (EMA colour & bar toggle)From TradingView's description: Williams %R (%R) is a momentum-based oscillator used in technical analysis, primarily to identify overbought and oversold conditions. The %R is based on a comparison between the current close and the highest high for a user defined look back period. %R Oscillates between 0 and -100 (note the negative values) with readings closer to zero indicating more overbought conditions and readings closer to -100 indicating oversold. Typically %R can generate set ups based on overbought and oversold conditions as well overall changes in momentum. What's special? This indicator adds two additional EMA lines to the original Williams %R indicator. Default EMA lengths are 5 and 13. The result is 2 smoother average lines, which are easier to read. This indicator includes: - signals for EMA crosses. EMA crosses can help indicate confirmed trend changes. Default colors are green and red - signals for trend reversals on the faster EMA line. Default colors are blue and orange Alerts available for bullish/bearish crossovers and reversals.
Pine Script® indicator
by cpolaritz2
Stochastic RSI (adjustable fast line color)Definition The Stochastic RSI indicator (Stoch RSI) is essentially an indicator of an indicator. It is used in technical analysis to provide a stochastic calculation to the RSI indicator. This means that it is a measure of RSI relative to its own high/low range over a user defined period of time. The Stochastic RSI is an oscillator that calculates a value between 0 and 1 which is then plotted as a line. This indicator is primarily used for identifying overbought and oversold conditions. History The Stochastic RSI (Stoch RSI) indicator was developed by Tushard Chande and Stanley Kroll. They introduced their indicator in their 1994 book The New Technical Trader. Calculation In this example, a very common 14 Period Stoch RSI is used. Stoch RSI = (RSI - Lowest Low RSI) / (Highest High RSI - Lowest Low RSI) Here are some approximate benchmark levels: 14 Day Stoch RSI = 1 when RSI is at its highest level in 14 Days. 14 Day Stoch RSI = .8 when RSI is near the high of its 14 Day high/low range. 14 Day Stoch RSI = .5 when RSI is in the middle of its 14 Day high/low range. 14 Day Stoch RSI = .2 when RSI is near the low of its 14 Day high/low range. 14 Day Stoch RSI = 0 when RSI is at its lowest level in 14 Days. The basics It is important to remember that the Stoch RSI is an indicator of an indicator making it two steps away from price. RSI is one step away from price and therefore a stochastic calculation of the RSI is two steps away. This is important because as with any indicator that is multiple steps away from price, Stoch RSI can have brief disconnects from actual price movement. That being said, as a range bound indicator, the Stoch RSI's primary function is identifying crossovers as well as overbought and oversold conditions. What to look for Overbought/Oversold Overbought and Oversold conditions are traditionally different than the RSI. While RSI overbought and oversold conditions are traditionally set at 70 for overbought and 30 for oversold, Stoch RSI are typically .80 and .20 respectively. When using the Stoch RSI, overbought and oversold work best when trading along with the underlying trend. During an uptrend, look for oversold conditions for points of entry. During a downtrend, look for overbought conditions for points of entry. Summary When using Stoch RSI in technical analysis, a trader should be careful. By adding the Stochastic calculation to RSI, speed is greatly increased. This can generate many more signals and therefore more bad signals as well as the good ones. Stoch RSI needs to be combined with additional tools or indicators in order to be at its most effective. Using trend lines or basic chart pattern analysis can help to identify major, underlying trends and increase the Stoch RSI's accuracy. Using Stoch RSI to make trades that go against the underlying trend is a dangerous proposition. Inputs K The time period to be used in calculating the %K. 3 is the default. D % D = Percent of Deviation between price and the average of previous prices (Momentum). The time period to be used in calculating the %D. 3 is the default. RSI Length The time period to be used in calculating the RSI Stochastic Length The time period to be used in calculating the Stochastic RSI Source Determines what data from each bar will be used in calculations. Close is the default.
Pine Script® indicator
by cpolaritz2
Elite Cumulative Volume Delta OscillatorOverview The Elite CVD+ is a premium-grade, session-resettable Cumulative Volume Delta indicator designed exclusively for professional futures and volume-profile traders. By focusing on the cleaner and more actionable Line-Focused mode, it transforms raw order flow data into a precise decision engine that reveals institutional buying/selling pressure, absorption, exhaustion, and high-probability reversal/continuation zones. Unlike standard CVD tools that accumulate indefinitely or reset awkwardly, this version resets cleanly at your chosen anchor period (default daily) while pulling granular delta from lower timeframes when desired. The result: a smooth, non-repainting line that highlights real-time shifts in aggressive participation without the noise of perpetual accumulation. Why This Indicator Is Elite-Level Useful True Institutional Footprint Cumulative Volume Delta measures the net aggressive buying (bid hits) vs. selling (ask hits). Sustained positive CVD = buyers in control; negative = sellers dominating. When price makes new highs on weakening CVD → classic bearish divergence signaling distribution. The session reset prevents old data from distorting current conviction, making divergences far more reliable than perpetual CVD. Early Reversal Detection via Absorption & Extremes Absorption highlighting flags scenarios where heavy delta pushes against price but price refuses to follow (e.g., massive selling into lows yet price holds or closes higher) — textbook trapping/retail stop-hunting. Session CVD extremes with dynamic test zones pinpoint where aggressive flow is exhausted. Price returning to test these levels often produces high-R:R reversals. Confluence-Rich Signals Dual EMAs provide trend/filter context (crossovers, zero-line bounces). Dynamic coloring instantly shows momentum strength. Extreme single-bar delta highlights climax buying/selling. Built-in regular + hidden divergences align order flow with price structure. Multi-Timeframe Consistency Optional custom lower-TF delta fetch ensures the same granular data regardless of chart timeframe — critical for traders who switch between 1-min execution charts and 15-min/1H analysis charts. Clean, Low-Lag Visuals Thick CVD line with intelligent coloring, subtle backgrounds, persistent extreme lines, and optional labels keep the pane readable even during fast markets. No clutter from inferior candle representations. How Professional Traders Use Elite CVD+ Most Successfully Primary Setup Framework Use on futures with reliable volume delta (ES, NQ, YM, CL, GC, etc.). Best timeframes: 3–15 minutes for intraday, 1H–4H for swing. Combine with price action structure (order blocks, fair value gaps, market profile highs/lows). Practical Tips for Maximum Edge Anchor Period: '1D' for regular session trading (resets at 00:00 exchange time). Use '1W' for weekly bias or '4H' for London/NY session-specific flow. Lower Timeframe Delta: Enable custom and set to '1' or '3' for maximum granularity on indices. Leave disabled on higher charts for smoother read. Absorption Tuning: Raise threshold to 80–90 on volatile instruments (NQ) to filter noise; lower to 70 on quieter ones (CL, GC). Divergences: Most powerful on 15M+. Disable hidden on very low TFs if too noisy. Alerts: Use the master “Any Event” alert for push/email/webhook notifications of zero crosses or new extremes — perfect for mobile monitoring. Combination Tools: Pair with session VWAP, volume profile (fixed range at highs/lows), or psychological levels for triple confluence.
Pine Script® indicator
by Manifesting_Gains
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