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Non-repainting

Realtime Non-Repaint PathName: Realtime Non-Repaint Path Searchable Name: Realtime Non-Repaint Path Technical name: Realtime Non-Repaint Percentage-Reversal Path Short title: RT NR Path Summary Realtime Non-Repaint Path is a standalone path-visualization and path-state script designed to show live non-repainting directional path structure and a simplified hidden path reveal. It uses a percentage-reversal path model to classify live path direction, maintain a live anchor/candidate structure, draw a live eased path, rebuild a simplified hidden path from reversal pivots, and display state labels, alerts, and a compact status table. Its strongest advantages are live path clarity, non-repainting state transitions on closed bars, simpler path interpretation, and visual structure that can complement entry-focused scripts. Its main known weakness is that it is not a full trading engine: it does not perform full pivot confirmation, trade management, advanced filtering, replay-state reconstruction, or broader regime/stat handling. This script is best understood as a path-focused operational visualization and state-classification script rather than a complete trading engine. It is designed to be useful on its own while remaining simple enough to inspect, test, and modify. How it works The script begins with a simple percentage-reversal path model. It tracks a live anchor price, a live candidate extreme, and a current live path direction. When price moves far enough away from the current anchor by the user-defined reversal percentage, a live directional path is established. As long as price continues making new extremes in that direction, the live candidate continues updating. When price reverses enough from that candidate extreme by the same percentage threshold, the live path flips and a new anchor/candidate cycle begins. The displayed live path is not drawn as a raw straight jump between points. Instead, it is eased between the current live anchor and live candidate so that the path remains visually readable while still staying tied to the current live state model. Because the live state is updated bar by bar using only information available so far, the live path is intended to function as a non-repainting path-state view on closed bars rather than as a hindsight-only reconstruction. In addition to the live path, the script can also reveal a simplified hidden path. That hidden path is rebuilt from percentage-reversal pivots over a user-defined recent history window. It detects reversal pivots using the same percentage-reversal logic and then draws an eased pivot-to-pivot hidden path across the selected history range. This keeps the script path-focused, visually useful, and easier to interpret. The script also displays optional confirmed turn labels, a last-bar live state label, path-up/path-down alerts, background coloring based on current path direction, and a compact status table showing the current live state, anchor, candidate, and percentage distances. These features make it useful as a visual path-state companion script rather than as a full signal-and-execution engine. Path model note This script’s path model is based on percentage reversal. That makes it intentionally simpler and easier to understand, but it also means it does not attempt to replicate the broader complexity of a full trading engine. The hidden path shown here should be interpreted as a simplified path reveal, not as a complete trade-selection or execution model. Features Live non-repainting path state machine User-defined percentage reversal threshold Live anchor and candidate path structure Eased live path display Simplified hidden path reveal over recent history Confirmed path turn labels Last-bar live state label Background coloring by live path direction Path-up and path-down alerts Compact status table with anchor/candidate/path-distance information Strengths Path Clarity edge — provides a cleaner live view of path direction than raw candles alone. Non-Repainting State edge — live path direction and flips are based on the current bar-by-bar percentage-reversal model rather than hindsight-only reconstruction. Simplicity edge — simpler structure makes it easier to inspect, test, and modify. Companion Script edge — pairs naturally with entry-oriented scripts by showing whether path direction is currently up, down, or neutral. Visual Structure edge — live path, hidden path, labels, background, and status table make path structure easier to read quickly. Interpretability edge — the script is straightforward enough to be useful as both a live visual aid and a path-study tool. Weaknesses Not a full trading engine weakness — does not include full trade management, entry/exit handling, or execution logic. No advanced filtering weakness — does not include broader filtering or replay/stat reconstruction layers. Threshold sensitivity weakness — path behavior depends heavily on the user-selected reversal percentage, so different settings can materially change the path and turn structure. Path-state, not profit-state weakness — path direction does not guarantee profitable entries or strong follow-through. Simplified hidden path weakness — the hidden path is intentionally simplified and should not be mistaken for a complete internal market model. No regime/stat engine weakness — does not contain broader regime scoring, detailed replay diagnostics, or a larger state/stat engine. Who it’s for This script is best suited for traders and TradingView users who want a simpler live path script, users interested in non-repainting path direction on closed bars, users who want a visual companion to entry-focused scripts, users who want to inspect market path structure with less complexity than a full trading engine, and users interested in learning from or modifying a smaller path-focused script. It is especially suited for users who want a practical path/state layer rather than a complete trading engine. Who it’s not for This script is not best suited for: users looking for a complete pre-built trading engine users expecting advanced pre-entry classification users expecting full entry/exit/trade management users looking for advanced regime, replay, and state/stat reconstruction users expecting this script by itself to solve the false-pivot or follow-through problem users looking for a complete trade-selection and execution workflow rather than a smaller standalone path script Known limitations Realtime Non-Repaint Path is much better at showing live path direction and simplified path structure than it is at acting as a complete trading system. The live path is driven by a percentage-reversal state machine and the hidden path is rebuilt from simplified percentage-reversal pivots with eased pivot-to-pivot connections. Because of that, it should be viewed primarily as a path/state visualization and classification script, not as a complete trade-selection or execution engine. Different reversal-percentage settings can also materially change how often the path flips and how sensitive the script is to movement. Final note This is a standalone path script, not a guaranteed predictive system and not a full operational trading engine. Its strengths are concentrated in live path visibility, simplified hidden path structure, non-repainting state handling on closed bars, and quick visual interpretation. It is best used as a path-focused companion or as a simpler standalone script for studying live path behavior rather than as a substitute for a more complete engine.
Penunjuk Pine Script®
oleh AceInfinity
Hodrick-Prescott filter [Jamallo](2025) Intro The Hodrick-Prescott (HP) filter is a tool originally developed by economists to remove short-term noise from data and reveal the underlying long-term trend — think of it like a moving average, but mathematically smarter. Instead of just averaging recent prices, it solves for the smoothest possible trendline that still follows the data. Applied to price, it produces a cleaner baseline than most traditional moving averages. --- However it comes with 3 problems in practical day trading. Problem #1 Standard HP Repaints History (core issue) The standard HP filter is non-causal — the value at any point in time depends on future values CEPR, meaning past signals can change retroactively. How I solved it: Switching to a one-sided implementation fixes this — it only looks at past data, so history never changes once a bar closes. Problem #2 One-Sided HP Hooks at Turns Going one-sided introduces an endpoint artifact — near turning points the trend line briefly curves in the wrong direction before reversing, producing a false signal. How I solved it: Feeding the HP output into a range filter solves this. The line only moves when HP breaks outside a volatility band, so the false hook gets absorbed into a flat zone and never fires a signal. Problem #3 Fixed Band Would Be Too Rigid A fixed band would whipsaw in volatile markets and lag in calm ones. How I solved it: Instead the band is sized dynamically using a percentile of True Range, scaling automatically with current market conditions.
Penunjuk Pine Script®
oleh Jamallo22
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.
Strategi Pine Script®
oleh AIScripts
Market Acceptance Envelope [Interakktive]The Market Acceptance Envelope (MAE) is a diagnostic tool that shows where price statistically belongs — not where it might go. Unlike traditional bands that expand with volatility, MAE expands with acceptance: regions where price rotates comfortably, efficiency drops, and the market agrees on fair value. This is the anti-Bollinger thesis: bands should represent where price IS accepted, not where it MIGHT reach based on standard deviation. █ USAGE The filled corridor represents the current acceptance zone — where price has demonstrated rotational behavior with low directional efficiency. When price is inside the corridor, it's "home." When outside, it's exploring territory the market hasn't yet accepted. For discretionary traders, MAE provides instant context: "Is price where it belongs, or is it extended?" For systematic traders, the exported values (confidence, asymmetry, position) can inform position sizing and filter logic. █ ACCEPTANCE CENTROID Unlike traditional bands centered on a moving average, MAE uses an Acceptance Centroid — a time-weighted price level where acceptance behavior concentrates. The centroid is calculated by weighting price by: • Inverse efficiency (low efficiency = high acceptance) • Volatility stability (stable vol = higher weight) • Dwell factor (time spent near level) This means the centroid drifts toward where price actually rotates, not simply where it averages. █ ASYMMETRIC BOUNDARIES MAE calculates upper and lower boundaries independently. Markets rarely treat up and down equally — during uptrends, the upper boundary may be wider (more accepted upside exploration), while the lower boundary stays tight (quick rejection of dips). This asymmetry is visible on the chart and exported as a metric (-1 to +1). █ CONFIDENCE-BASED VISIBILITY The corridor's opacity reflects acceptance confidence: • High confidence → clearly visible corridor (price is in accepted rotation) • Low confidence → faded corridor (trending/directional market, acceptance not established) When the corridor fades, it's telling you: "Acceptance hasn't been earned here yet." █ WHAT THIS INDICATOR IS • A diagnostic acceptance envelope showing where price statistically belongs • Asymmetric by design — upper and lower calculated independently • Confidence-weighted visibility — fades when acceptance is not earned • Non-repainting — uses closed-bar data only █ WHAT THIS INDICATOR IS NOT • NOT Bollinger Bands (no standard deviation around a mean) • NOT Keltner Channels (no ATR-scaled envelope) • NOT a signal generator — no touches = signals philosophy • NO arrows, NO entries/exits, NO buy/sell recommendations █ HOW IT WORKS MAE uses an acceptance-weighted calculation approach: 1. ACCEPTANCE WEIGHT Each bar receives a weight based on: • Efficiency: (1 - efficiency) — low efficiency = rotational = high acceptance • Volatility Stability: stable vol environment = higher weight • Dwell Factor: price staying near central tendency = higher weight 2. ACCEPTANCE CENTROID Weighted average of price using acceptance weights: centroid = Σ(price × weight) / Σ(weight) Smoothed adaptively — faster during drift, slower when stable. 3. ASYMMETRIC BOUNDARIES Upper and lower distances calculated separately: • rngUp = acceptance-weighted average of (price - centroid) when price > centroid • rngDn = acceptance-weighted average of (centroid - price) when price < centroid 4. CONFIDENCE SCORE Composite of average acceptance weight, volatility stability, and centroid stability. Maps to corridor opacity: high confidence = visible, low confidence = faded. █ SETTINGS Market Acceptance Envelope — Core • Acceptance Lookback (20): Bars to evaluate for acceptance conditions. Higher = smoother, slower response. • Preset (Swing): Scalper = tight/fast, Swing = balanced, Position = wide/stable. • Envelope Sensitivity (1.0): Width multiplier. Higher = wider corridor. Market Acceptance Envelope — Visuals • Show Corridor (true): Display the acceptance corridor. • Show Centroid (false): Display the acceptance centroid line. Market Acceptance Envelope — Data Window • Show Data Window Values (false): Export MAE metrics for external use. █ EXPORTED VALUES When Data Window is enabled: • mae_upper: Upper boundary value • mae_lower: Lower boundary value • mae_centroid: Acceptance centroid value • mae_width: Corridor width (upper - lower) • mae_asymmetry: Asymmetry ratio (-1 to +1, negative = lower wider) • mae_confidence: Acceptance confidence (0-100) • mae_position: Price position (-1 = below, 0 = inside, +1 = above) █ SUITABLE MARKETS Works on all markets: Stocks, Futures, Forex, Crypto, Indices. Works on all timeframes. Higher timeframes show more stable acceptance zones. █ DISCLAIMER This indicator is for educational and informational purposes only. It does not constitute financial advice. Past performance does not guarantee future results. Always conduct your own analysis and use proper risk management. This is a diagnostic tool — it provides context, not signals.
Penunjuk Pine Script®
oleh Interakktive
2
Continuation Suite v1 — 5m/15mContinuation Suite v1 — 5m/15m (Non-Repainting, S/R + Trend Continuation) What it does Continuation Suite v1 is a practical intraday toolkit that combines non-repainting trend-continuation signals with auto-built Support/Resistance (S/R) from confirmed pivots. It’s designed for fast, liquid names on 5m charts with an optional 15m higher-timeframe (HTF) overlay. You get: stacked-EMA bias, disciplined pullback+reclaim entries, optional volume/volatility gates, a “Strong” signal tier, solid S/R lines or zones, and a compact dashboard for fast reads. ⸻ Why traders use it • Clear bias using fast/mid/slow EMA stacking. • Actionable entries that require a pullback, a reclaim, and (optionally) a minor break of prior extremes. • Signal quality gates (volume vs SMA, ATR%, ADX/DI alignment, EMA spacing, slope). • Non-repainting logic when “Confirm on Close” = ON. Intrabar previews show what’s forming, but confirmed signals only print on bar close. • S/R that matters: confirmed-pivot lines or ATR-sized zones, optional HTF overlay, and auto de-dup to avoid clutter. ⸻ Signal construction (no magic, just rules) Bullish continuation (base): 1. Trend: EMA fast > EMA mid > EMA slow 2. Pullback: price pulls into the stack (lowest low or close vs EMA fast/mid over a lookback) 3. Reclaim: close > EMA fast and close > open 4. Break filter (optional): current bar takes out the prior bar’s high 5. Filters: volume > SMA (if enabled) and ATR% ≤ max (if enabled) 6. Cooldown: a minimum bar gap between signals Bearish continuation (base): mirror of the above. Strong signals: base conditions plus ADX ≥ threshold, DI alignment (DI+>DI- for longs; DI->DI+ for shorts), minimum EMA-spacing %, and minimum fast-EMA slope. Reference stops: • Longs: lowest low over the pullback lookback • Shorts: highest high over the pullback lookback Alerts are included for: Bullish Continuation, Bearish Continuation, STRONG Bullish, STRONG Bearish. ⸻ S/R engine (current TF + optional HTF) • Builds S/R from confirmed pivots only (left/right bars). • Choose Lines (midlines) or Zones (ATR-sized). • Zones merge when a new pivot lands near an existing zone’s mid (ATR-scaled epsilon). • Touches counter tracks significance; you can require a minimum to draw. • HTF overlay (default 15m) draws separate lines/zones with tiny TF tags on the right. • De-dup option hides current-TF zones that sit too close to HTF zones (ATR-scaled), reducing overlap. • Freeze on Close (optional) keeps arrays stable intrabar; snapshots show levels immediately as bars open. ⸻ Presets • Auto: Detects QQQ-like tickers (QQQ, QLD, QID) or SoFi; else defaults to Custom. • QQQ: Tighter ATR% and EMA settings geared to index-ETF behavior. • SoFi: Wider ATR allowances and longer mid/slow for single-name behavior. • Custom: Expose all key inputs to tune for your product. ⸻ Dashboard (top-right) • Preset in use • Bias (Bullish CONT / Bearish CONT / Neutral) • Strong (Yes/No) • Volatility (ATR% bucket) • Trend (ADX bucket) • HTF timeframe tag • Volume (bucket or “off”) • Signals mode (Close-Confirmed vs Intrabar) ⸻ Inputs you’ll actually adjust Trend/Signals • Fast/Mid/Slow EMA lengths • Pullback lookback, Min bars between signals • Volume filter (vol > SMA N) • ATR% max filter (cap excessive volatility) • Require break of prior bar’s high/low • “Strong” gates: min EMA slope, min EMA spacing %, ADX length & threshold Support/Resistance • Lines vs Zones • Pivot left/right bars • Extend left/right (bars) • Max pivots kept (current & HTF) • Zone width (× ATR), Merge epsilon (× ATR), Min gap (× ATR) • Min touches, Max zones per side near price • De-dup current TF vs HTF (× ATR) Repainting control • Confirm on Close: when ON, signals/SR finalize on bar close (non-repainting) • Freeze on Close: freeze S/R intrabar with snapshot updates • Show previews: translucent intrabar labels for what’s forming ⸻ How to use it (straightforward) 1. Load on 5-minute chart (baseline). Keep Confirm on Close ON if you hate repainting. 2. Use Bias + Strong + S/R context. If a long prints into HTF resistance, you have information. 3. Manage risk off the reference stop (pullback extreme). If ATR% reads “Great,” widen expectations; if “Poor,” size down or pass. 4. Alerts: wire the four alert types to your workflow. ⸻ Notes and constraints • Designed for liquid symbols. Thin books and synthetic “volume” will degrade the volume gate. • S/R is pivot-based. On very choppy tape, touch counts help. Increase min touches or switch to Lines to declutter. • If your chart timeframe isn’t 5m, behavior changes because lengths are in bars, not minutes. Tune lengths accordingly. ⸻ Disclaimers This is a research tool. No signals are guaranteed. Markets change, outliers happen, slippage is real. Nothing here is financial advice—use your own judgment and risk management. ⸻ Author: DaddyScruff License: MPL-2.0 (Mozilla Public License 2.0)
Penunjuk Pine Script®
oleh DaddyScruff
1
Smoothing R-Squared ComparisonIntroduction Heyo guys, here I made a comparison between my favorised smoothing algorithms. I chose the R-Squared value as rating factor to accomplish the comparison. The indicator is non-repainting. Description In technical analysis, traders often use moving averages to smooth out the noise in price data and identify trends. While moving averages are a useful tool, they can also obscure important information about the underlying relationship between the price and the smoothed price. One way to evaluate this relationship is by calculating the R-squared value, which represents the proportion of the variance in the price that can be explained by the smoothed price in a linear regression model. This PineScript code implements a smoothing R-squared comparison indicator. It provides a comparison of different smoothing techniques such as Kalman filter, T3, JMA, EMA, SMA, Super Smoother and some special combinations of them. The Kalman filter is a mathematical algorithm that uses a series of measurements observed over time, containing statistical noise and other inaccuracies, and produces estimates of unknown variables that tend to be more accurate than those based on a single measurement. The input parameters for the Kalman filter include the process noise covariance and the measurement noise covariance, which help to adjust the sensitivity of the filter to changes in the input data. The T3 smoothing technique is a popular method used in technical analysis to remove noise from a signal. The input parameters for the T3 smoothing method include the length of the window used for smoothing, the type of smoothing used (Normal or New), and the smoothing factor used to adjust the sensitivity to changes in the input data. The JMA smoothing technique is another popular method used in technical analysis to remove noise from a signal. The input parameters for the JMA smoothing method include the length of the window used for smoothing, the phase used to shift the input data before applying the smoothing algorithm, and the power used to adjust the sensitivity of the JMA to changes in the input data. The EMA and SMA techniques are also popular methods used in technical analysis to remove noise from a signal. The input parameters for the EMA and SMA techniques include the length of the window used for smoothing. The indicator displays a comparison of the R-squared values for each smoothing technique, which provides an indication of how well the technique is fitting the data. Higher R-squared values indicate a better fit. By adjusting the input parameters for each smoothing technique, the user can compare the effectiveness of different techniques in removing noise from the input data. Usage You can use it to find the best fitting smoothing method for the timeframe you usually use. Just apply it on your preferred timeframe and look for the highlighted table cell. Conclusion It seems like the T3 works best on timeframes under 4H. There's where I am active, so I will use this one more in the future. Thank you for checking this out. Enjoy your day and leave me a like or comment. 🧙‍♂️ --- Credits to: ▪@loxx – T3 ▪@balipour – Super Smoother ▪ChatGPT – Wrote 80 % of this article and helped with the research
Penunjuk Pine Script®
oleh simwai
1
VHF Adaptive Linear Regression KAMAIntroduction Heyo, in this indicator I decided to add VHF adaptivness, linear regression and smoothing to a KAMA in order to squeeze all out of it. KAMA: Developed by Perry Kaufman, Kaufman's Adaptive Moving Average (KAMA) is a moving average designed to account for market noise or volatility. KAMA will closely follow prices when the price swings are relatively small and the noise is low. KAMA will adjust when the price swings widen and follow prices from a greater distance. This trend-following indicator can be used to identify the overall trend, time turning points and filter price movements. VHF: Vertical Horizontal Filter (VHF) was created by Adam White to identify trending and ranging markets. VHF measures the level of trend activity, similar to ADX DI. Vertical Horizontal Filter does not, itself, generate trading signals, but determines whether signals are taken from trend or momentum indicators. Using this trend information, one is then able to derive an average cycle length. Linear Regression Curve: A line that best fits the prices specified over a user-defined time period. This is very good to eliminate bad crosses of KAMA and the pric. Usage You can use this indicator on every timeframe I think. I mostly tested it on 1 min, 5 min and 15 min. Signals Enter Long -> crossover(close, kama) and crossover(kama, kama ) Enter Short -> crossunder(close, kama) and crossunder(kama, kama ) Thanks for checking this out! -- Credits to ▪️@cheatcountry – Hann Window Smoohing ▪️@loxx – VHF and T3 ▪️@LucF – Gradient
Penunjuk Pine Script®
oleh simwai
Chandelier Exit ZLSMA StrategyIntroduction Heyo guys, I recently checked out some eye-catching trading strategy videos on YT and found one to test. This indicator is based on the video. Usage The recommended timeframe is 5 min. Signals Long Entry => L Label Price crosses above ZLSMA and Chandelier Exit shows Buy Long Exit => green circle Price crosses below ZLSMA Short Entry => S Label Price crosses below ZLSMA and Chandelier Exit shows Sell Short Exit => orange circle Prices crosses above ZLSMA Ty for checking this out. Enjoy! -- Credits to @netweaver2011 - ZLSMA @everget – Chandelier Exit
Penunjuk Pine Script®
oleh simwai
19
Adaptive Fisherized KSTIntroduction Heyo guys, here is a new adaptive fisherized indicator of me. I applied Inverse Fisher Transform, Ehlers dominant cycle analysis, smoothing and divergence analysis on the Know Sure Thing (KST) indicator. Moreover, the indicator doesn't repaint. Usage I didn't backtest the indicator, but I recommend the 5–15 min timeframe. It can be also used on other timeframs, but I have no experience with that. The indicator has no special filter system, so you need to find an own combo in order to build a trading system. A trend filter like KAMA or my Adaptive Fisherized Trend Intensity Index could fit well. If you find a good combo, let me know it in the comments pls. Signals Zero Line KST crossover 0 => Enter Long KST crossunder 0 => Enter Short Cross KST crossover KST MA => Enter Long KST crossunder KST MA => Enter Short Cross Filtered KST crossover KST MA and KST above 0 => Enter Long KST crossunder KST MA and KST under 0 => Enter Short KST crossunder 0 => Exit Long KST crossover 0 => Exit Short More to read: KST Explanation Enjoy and let me know your opinion! -- Credits to - @tista - @blackcat1402 - @DasanC - @cheatcountry
Penunjuk Pine Script®
oleh simwai
2
Adaptive Fisherized Stochastic Center of GravityIntroduction I modified the script "Fisher Stochastic Center of Gravity" of @DasanC for this indicator. I added inverse Fisher transform, cycle period adaptiveness mode (Ehlers) and smoothing to it. Moreover, I added buy and sell and beautified some stuff. Lastly, it is also non-repainting! Usage This indicator can be used like a normal stochastic, but I don't recommend divergence analysis on it. That fisherization stuff seems to make the graphs unuseable for that because it tries. It works well on every timeframe I would say, but lower timeframes are recommended, because of the fast nature of stochastic. Usually it does a good job on entry confirmation for reversals and trend continuation trades. Recommended indicator to combine with this indicator is RSI cyclic smoothed v2 . This is the best RSI version I know. In trending market it is recommended to look more on the inner bands and in flat market it is recommended to look more on the outer bands. When RSI shows oversold and this indicator shows a crossover of the Center of Gravity plot through the bottom line -> Long entry is confirmed When RSI shows overbought and this indicator shows a crossunder of the Center of Gravity plot through the top line -> Short entry is confirmed Settings The adaptive mode is enabled by default to give you straight the whole indicator experience. The default settings are optimized, but should be changed depending on the market. An example: Market has a low volatility and a high momentum -> I want a slower/higher length to catch the slower new highs and lows. Market has higher volatility and a low momentum, -> I want a faster/lower length to catch the faster new highs and lows Signals Crossover Buy -> cog crossover signalLine Sell -> cog crossunder signalLine Overbought/Oversold Crossover Buy -> cog crossover lowerBand Sell -> cog crossunder lowerBand I use this indicator a lot, because I don't know a better stochastic on this community here. @DasanC did an awesome work with his version I used as base for this script. Enjoy this indicator and let the profit roll! 🔥
Penunjuk Pine Script®
oleh simwai
9