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Cnagda Trading ToolCnagda Trading Tools - complete set of intraday trading 1. Trendline breakout based On ATR. 2. Live RSI, volume/candle average 20 Periods, trend direction last 34 periods, and some useful dashboard features. 3. Ma Scalp Line provide trend support and resistance + Where Line More Flat Previous Time You Also Use That Range As Support And Resistance 4. RSI based POC ( Point Of Control) indicate high Volume Area like fixed Range Volume profile 5. London session breakout with buy/sell Signal and NewYork session opening half hour range breakout with Buy/sell signal Ma Scalp Buy And Sell Signal For Short term Scalping ( 5 Min Timeframe) Based on Ema And Wma Crossover I hope these tools will improve your trading, but you should trade only after proper research, this indicator is not responsible for any loss.
Penunjuk Pine Script®
oleh cnagda3
Approx STH Unrealized Profit [Relative %]This indicator estimates the unrealized profit or loss of short-term holders (STH) without requiring on-chain data. Instead of using actual STH Realized Price (average purchase price), it employs a 155-day Simple Moving Average (SMA) to approximate the behavior of "recent buyers." How It Works The indicator calculates the percentage deviation between the current price and the 155-day SMA using the formula: (Current Price - 155 SMA) / 155 SMA * 100%. Positive values indicate profit, while negative values show loss. Key threshold levels are set at +50% (overbought) and -30% (oversold). Trading Applications Profit > 50% - STH are experiencing significant profits, suggesting potential correction. Consider taking partial profits. 0% < Profit < 50% - Moderate profits indicate the trend may continue. Maintain positions. Profit ≈ 0% - Price is near STH's average entry point, showing market indecision. -30% < Profit < 0% - STH are at a loss, potentially signaling accumulation opportunities. Profit < -30% - Extreme oversold conditions may present buying opportunities. Limitations SMA only approximates STH behavior. May produce false signals during sideways markets. SMA lag can be noticeable in strong trending markets. Recommendation For improved accuracy, combine this indicator with trend-following tools (200 EMA, Volume analysis) and other technical indicators. It serves best as a supplementary tool for identifying overbought/oversold market conditions within your trading strategy.
Penunjuk Pine Script®
oleh ALMCorporation
Parabolic Stoch SAR VisualizerParabolic Stoch SAR Visualizer — Momentum-Driven Trend Precision Tool Overview: Parabolic Stoch SAR Visualizer is a thoughtfully engineered hybrid indicator that blends momentum oscillation and trend-following mechanics into one robust system. By applying a custom Parabolic SAR calculation directly on a double-smoothed stochastic oscillator (rather than on price), it generates cleaner signals with enhanced trend detection and fewer false positives than typical Parabolic RSI or standard SAR variants. Unique Functionality: Momentum smoothing : The base stochastic %K undergoes double smoothing via consecutive simple moving averages, significantly cutting down random noise and erratic swings common in raw stochastic readings. This stabilizes momentum tracking, isolating true price strength and weakness. Custom Parabolic SAR on smoothed momentum : Traditional SAR algorithms operate on price data, acting as trailing stops. This indicator repurposes SAR to work on smoothed stochastic values, effectively converting it into a momentum-driven directional filter. This yields a more adaptive and responsive trend signal focused on genuine momentum shifts instead of price noise. Bounded SAR range and adjustable acceleration : SAR values are mathematically restricted between 0 and 100, aligning with the stochastic scale to prevent distortions. Traders can customize acceleration parameters (start, increment, max) to fine-tune trend sensitivity relative to market volatility or specific strategies. Signal clarity through filterin g: Minimum bar spacing and minimum SAR movement thresholds between plotted dots reduce chart clutter, highlighting only meaningful trend changes and filtering out insignificant fluctuations. Enhanced visuals : The oscillator line smoothly transitions its color gradient between defined uptrend and downtrend hues, intuitively signaling momentum strength. Parabolic SAR dots are offset from the oscillator line with multi-layered glow effects, making trend flips easy to spot at a glance. Trading Application: Trend identification : Momentum-based SAR dots offer precise marking of trend shifts, helping traders avoid false breakouts and premature trades. Entry and exit timing : Combining the double-smoothed stochastic oscillator and SAR dots creates a reliable framework to confirm momentum shifts and optimal trade entries or exits. Customizable for volatility regimes : Adjustable acceleration and filtering parameters allow scalpers to increase signal sensitivity, while swing traders can dial back noise for smoother trend recognition. Visual clarity for fast decisions : Gradient color coding and glowing SAR dots facilitate immediate momentum assessment without complex analysis, empowering quicker, more confident trade actions. Advantages over Parabolic RSI and similar indicators: Parabolic RSI’s direct application of SAR on RSI often results in noisy, choppy signals prone to whipsaws. This indicator’s double-smoothed stochastic foundation delivers a cleaner, steadier signal. Applying SAR to smoothed momentum rather than price transforms it into a directional filter that better captures true market strength with reduced lag. Adaptive plotting thresholds and enhanced visuals minimize clutter and ambiguity, improving trader focus and execution speed.
Penunjuk Pine Script®
oleh BOSWaves
Wolf Exit Oscillator Enhanced # Wolf Exit Oscillator Enhanced ## What it is (quick take) **Wolf Exit Oscillator Enhanced** is a clean, rules-first **exit timing tool** built on the **True Strength Index (TSI)** with two optional safeguards: 1. **Signal-line crossover** (to avoid bailing on shallow dips), and 2. **EMA confirmation** (price-based “is the trend actually weakening/strengthening?” check). Use it to standardize when you **take profits, cut losers, or scale out**—especially after momentum runs hot or cold. > Works best **paired** with: > > * **ABS NR — Fail-Safe Confirm (v4.2.2)** for entries > * **ABS Companion Oscillator — Trend / Exhaustion / New Trend** for trend/exhaustion context --- ## How to use it (operational workflow) 1. **Set your bands** * `exitHigh` and `exitLow` mark “overcooked” zones on the TSI scale (default: +60 / –60). * Above `exitHigh` = momentum stretched **up** (good place to **exit shorts** or **take long profits**). * Below `exitLow` = momentum stretched **down** (good place to **exit longs** or **take short profits**). 2. **Choose strictness** * **Base mode**: the moment TSI crosses out of a band, you get an exit signal. * **Add Signal-Line Cross** (`enableSignalX = true`): require TSI to cross its signal in the same direction → **fewer, cleaner exits**. * **Add EMA Filter** (`enableEMAFilter = true`): also require **price** to confirm (e.g., long exit only if price < EMA). This avoids bailing during healthy trends. 3. **Execute with structure** * **Full exit** when a signal fires, or * **Scale out** (e.g., 50% on first signal, remainder on trail/secondary signal), or * **Move stop** to lock gains once an exit signal prints. 4. **Alerts** * Set to **“Once per bar close”** to avoid intrabar flip-flop. * Use the two provided alert names for automation (see “Alerts” below). --- ## Signals & visuals * **TSI line** (solid) and **Signal line** (dashed) with optional **histogram** (TSI − Signal). * **Horizontal bands** at `exitHigh` and `exitLow`. * **Labels**: * **Exit Long** appears when long-side momentum breaks down (below `exitLow`, plus any enabled filters). * **Exit Short** appears when short-side momentum breaks down (above `exitHigh`, plus any enabled filters). **Alerts (stable names):** * **WolfExit — Exit Long** * **WolfExit — Exit Short** --- ## Non-repainting behavior (what to expect) * The oscillator is computed with **EMAs on current timeframe**—no higher-timeframe lookahead, no repaint. * **Intrabar**: TSI/Signal can fluctuate; use **bar-close evaluation** (and alert setting “Once per bar close”) to lock signals. * If you enable the EMA filter, that check is also evaluated at bar close. --- ## Every input explained (and how changing it alters behavior) ### Momentum engine (TSI) * **TSI Long EMA Length (`tsiLongLen`, default 25)** Higher = smoother, slower momentum; fewer signals. Lower = twitchier, more signals. * **TSI Short EMA Length (`tsiShortLen`, default 13)** Fine-tunes responsiveness on top of the long length. Lower short → snappier TSI. * **TSI Signal Line Length (`tsisigLen`, default 7)** Higher = slower signal line (harder to cross) → fewer signals. Lower = easier crosses → more signals. ### Thresholds (the bands) * **Exit Threshold High (`exitHigh`, default +60)** Raise to demand **stronger** overbought before signaling short exits / long profit-takes. Lower to trigger sooner. * **Exit Threshold Low (`exitLow`, default −60)** Raise (toward 0) to trigger **earlier** on longs; lower (more negative) to wait for deeper downside stretch. ### Confirmation layers * **Require Signal Line Crossover (`enableSignalX`, default true)** On = TSI must cross its signal (same direction as exit) → **filters out shallow wiggles**. Off = faster, more frequent exits. * **Enable EMA Confirmation Filter (`enableEMAFilter`, default true)** On = require **price < EMA** for **Exit Long** and **price > EMA** for **Exit Short**. * **EMA Exit Confirmation Length (`exitEMALen`, default 50)** Higher = **trendier** filter (harder to flip) → fewer exits; Lower = more reactive → more exits. ### Visuals * **Show Histogram (`showHist`)** On = quick visual for TSI–Signal spread (helps spot weakening momentum before a cross). * **Plot Exit Signals (`showSignals`)** Toggle labels if you only want the lines/bands with alerts. --- ## Tuning recipes (quick, practical) * **Strong trend days (avoid premature exits)** * Keep **`enableSignalX = true`** and **`enableEMAFilter = true`** * Increase **`exitEMALen`** (e.g., 80) * Consider raising **`exitHigh`** to 65–70 (and lowering **`exitLow`** to −65/−70) * **Choppy/range days (exit faster, take the cash)** * **`enableEMAFilter = false`** (don’t wait for price filter) * **`enableSignalX`** optional; try off for quicker responses * Bring bands closer to **±50** to take profits earlier * **Scalping / lower timeframes** * Shorten **TSI lengths** a bit (e.g., 21/9/5) * Consider **`exitHigh=55 / exitLow=-55`** * Keep **histogram on** to visualize momentum flip risk * **Swing trading / higher timeframes** * Lengthen **TSI** (e.g., 35/21/9) and **`exitEMALen`** (e.g., 100) * Wider bands (±65 to ±75) to catch bigger moves before exiting --- ## Playbooks (how to actually trade it) * **Entry from ABS NR FS, exit with Wolf** * Take entries from **ABS NR — Fail-Safe Confirm** (triangle). * Use **Wolf Exit** to scale out: 50% on first exit label, trail remainder with price/EMA or your stop logic. * **Pyramid & protect** * Add on re-accelerations (TSI pulls back toward zero without breaching the opposite band). * The first **Exit** signal → take partial, raise stop to last higher low / lower high. * **Mean-reversion fade management** * When fading with ABS NR (KC band pokes + stretched |Z|), target the first opposite **Exit** signal as your “don’t overstay” cue. --- ## Suggested starting points * **Day trading (5–15m):** * TSI: **25 / 13 / 7** (default) * Bands: **+60 / −60** * Confirmations: **SignalX = on**, **EMA Filter = on**, **EMA Len = 50** * Alerts: **Once per bar close** * **Scalping (1–3m):** * TSI: **21 / 9 / 5** * Bands: **±55** * Confirmations: **SignalX = on**, **EMA Filter = off** (optional for speed) * **Swing (1h–D):** * TSI: **35 / 21 / 9** * Bands: **+65 / −65** (or ±70) * Confirmations: **SignalX = on**, **EMA Filter = on**, **EMA Len = 100** --- ## Best-practice pairings * **Entries:** **ABS NR — Fail-Safe Confirm (v4.2.2)** * Take ABS triangles; let Wolf standardize exits so you’re not guessing. * **Context:** **ABS Companion Oscillator** * Prefer holding longer when the companion stays above (for longs) or below (for shorts) its neutral band and **no EXH tag** prints. * If companion flags **EXH** against your position, tighten stops; Wolf’s next exit signal becomes high priority. --- ## Notes & disclaimers * This is an **exit signal tool**, not a strategy or broker. * Signals are strongest when aligned with your **entry logic** and a **risk framework** (position sizing, stops, partials). * All evaluations are **current timeframe**; no higher-timeframe lookahead is used. * Markets change—tune the bands and confirmations per symbol/timeframe. --- **Tip:** Keep your alerts simple—one for **Exit Long**, one for **Exit Short**, **Once per bar close**. Use partial exits on the first signal, and let your stop/trailing logic handle the rest.
Penunjuk Pine Script®
oleh jensenvilhelm
Relative OIThis indicator provides a normalized view of Open Interest (OI) from the two largest cryptocurrency perpetual futures exchanges: Binance and Bybit. Unlike a standard aggregated OI indicator that is heavily weighted by the largest exchange's volume, this tool normalizes the data, giving equal significance to the sentiment from both platforms. The indicator's core function is to assess market sentiment by identifying extremes in futures market participation. It achieves this by performing the following steps: Normalization: Open Interest data from both Binance and Bybit is fetched on a daily timeframe. A custom Z-score function then normalizes this data, measuring how many standard deviations the current Open Interest is from its recent average. This ensures that a significant change in OI on a smaller exchange has the same impact on the final signal as a significant change on a larger one. Aggregation: The normalized Z-scores from both exchanges are aggregated. This combined value represents a true "relative" sentiment signal, as it is no longer dominated by one exchange's raw volume. RSI Calculation: A standard Relative Strength Index (RSI) is calculated on this aggregated, normalized data. - Written by Gemini <3 - Inspired by Abetrade <3
Penunjuk Pine Script®
oleh nagnapleinad
Relative Volatility Mass [SciQua]The ⚖️ Relative Volatility Mass (RVM) is a volatility-based tool inspired by the Relative Volatility Index (RVI) . While the RVI measures the ratio of upward to downward volatility over a period, RVM takes a different approach: It sums the standard deviation of price changes over a rolling window, separating upward volatility from downward volatility . The result is a measure of the total “volatility mass” over a user-defined period, rather than an average or normalized ratio. This makes RVM particularly useful for identifying sustained high-volatility conditions without being diluted by averaging. ──────────────────────────────────────────────────────────── ╭────────────╮ ‎ ‎ ‎ ‎ ‎ ‎ How It Works ╰────────────╯ 1. Standard Deviation Calculation ‎ ‎ ‎ ‎ ‎ • Computes the standard deviation of the chosen `Source` over a `Standard Deviation Length` (`stdDevLen`). ‎ 2. Directional Separation ‎‎ ‎ ‎ ‎ • Volatility on up bars (`chg > 0`) is treated as upward volatility . ‎ ‎ ‎ ‎ ‎‎ • Volatility on down bars (`chg < 0`) is treated as downward volatility . 3. Rolling Sum ‎ ‎ ‎ ‎ ‎ • Over a `Sum Length` (`sumLen`), the upward and downward volatilities are summed separately using `math.sum()`. 4. Relative Volatility Mass ‎‎ ‎ ‎ ‎ • The two sums are added together to get the total volatility mass for the rolling window. Formula: RVM = Σ(σ up) + Σ(σ down) where σ is the standard deviation over `stdDevLen`. ╭────────────╮ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ Key Features ╰────────────╯ Directional Volatility Tracking – Differentiates between volatility during price advances vs. declines. Rolling Volatility Mass – Shows the total standard deviation accumulation over a given period. Optional Smoothing – Multiple MA types, including SMA, EMA, SMMA (RMA), WMA, VWMA. Bollinger Band Overlay – Available when SMA is selected, with adjustable standard deviation multiplier. Configurable Source – Apply RVM to `close`, `open`, `hl2`, or any custom source. ╭─────╮ ‎ ‎ ‎ ‎ ‎ ‎ Usage ╰─────╯ Trend Confirmation: High RVM values can confirm strong trending conditions. Breakout Detection: Spikes in RVM often precede or accompany price breakouts. Volatility Cycle Analysis: Compare periods of contraction and expansion. RVM is not bounded like the RVI, so absolute values depend on market volatility and chosen parameters. Consider normalizing or using smoothing for easier visual comparison. ╭────────────────╮ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ Example Settings ╰────────────────╯ Short-term volatility detection: `stdDevLen = 5`, `sumLen = 10` Medium-term trend volatility: `stdDevLen = 14`, `sumLen = 20` Enable `SMA + Bollinger Bands` to visualize when volatility is unusually high or low relative to recent history. ╭───────────────────╮ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ Notes & Limitations ╰───────────────────╯ Not a directional signal by itself — use alongside price structure, volume, or other indicators. Higher `sumLen` will smooth short-term fluctuations but reduce responsiveness. Because it sums, not averages, values will scale with both volatility and chosen window size. ╭───────╮ ‎ ‎ ‎ ‎ ‎ ‎ Credits ╰───────╯ Based on the Relative Volatility Index concept by Donald Dorsey (1993). TradingView SciQua - Joshua Danford
Penunjuk Pine Script®
oleh JoshuaDanford
SMT Oscillator: Smarter Money Divergence Detector [PhenLabs]📊Phenlabs - SMT Oscillator: Smarter Money Divergence Detector Version: PineScript™v6 📌Description The SMT Oscillator is a sophisticated tool designed to identify smart money divergence between two correlated assets. By analyzing the momentum and volume-weighted price action of a primary and secondary symbol, traders can spot subtle shifts in market dynamics that often precede significant price movements. This indicator is built to provide a clearer, more filtered view of inter-market relationships, solving the common problem of false signals and market noise. Its primary purpose is to equip traders with a quantifiable edge in detecting potential reversals or continuations that are not obvious on a standard price chart. 🚀Points of Innovation Dual-Symbol Divergence Core: Directly compares momentum (RSI or MACD) between two user-selected symbols to pinpoint true SMT divergence. Volume-Weighted Analysis: Integrates volume delta into the divergence calculation, giving more weight to moves backed by significant market participation. Entropy Filter for Noise Reduction: Employs an entropy calculation to filter out low-quality signals during choppy or consolidating market conditions. Predictive Forecast Line: Utilizes a linear regression model to project the oscillator’s future trajectory, offering a forward-looking glimpse of potential momentum shifts. Customizable Signal Sensitivity: Allows fine-tuning of overbought and oversold levels to adapt to different market volatilities and trading styles. Integrated Signal Alerts: Provides built-in alerts for bullish/bearish zero crosses and overbought/oversold conditions. 🔧Core Components Momentum Engine: The user can select either RSI or MACD as the underlying engine for the divergence calculation, allowing for flexibility in analysis. Normalization Function: Price data from both symbols is normalized using percentage change to ensure a true “apples-to-apples” comparison, regardless of their nominal price differences. Divergence Calculator: The core algorithm that subtracts the secondary symbol’s momentum from the primary’s and normalizes the result using the combined standard deviation. Smoothing Mechanism: An Exponential Moving Average (EMA) is applied to the raw oscillator output to reduce choppiness and provide a clearer signal line. 🔥Key Features Multi-Asset Comparison: Go beyond single-asset analysis by comparing correlated pairs like ES/NQ or BTC/ETH to uncover hidden trading opportunities. Heatmap Visualization: An optional heatmap mode provides an intuitive visual representation of divergence strength, making it easier to gauge market sentiment at a glance. Configurable Lookback and Timeframe: Adjust the lookback period and analysis timeframe to suit your specific strategy, from short-term scalping to long-term trend analysis. Signal Markers: Visual markers are plotted directly on the chart for bullish and bearish zero-line crossovers, providing clear entry and exit signals. 🎨Visualization SMT Oscillator Line: The primary visual element, colored blue for bullish (positive) divergence and orange for bearish (negative) divergence. Zero Line: A solid horizontal line at the zero level, indicating the equilibrium point between the two assets. Crossovers of this line signal a shift in relative strength. Overbought/Oversold Zones: Dotted lines at the +80 and -80 levels (customizable) that highlight extreme divergence readings, often indicating potential exhaustion points. Forecast Line: A predictive line that plots the anticipated path of the oscillator, giving traders an advanced warning of potential changes in momentum. 📖Usage Guidelines Setting Categories Primary Symbol Default: (Chart Symbol) Description: The main asset you are analyzing. Leave blank to use the symbol currently on your chart. Secondary Symbol Default: CME_MINI:ES1! (used with NASDAQ futures due to inherent heavy correlation Description: The asset to compare against the primary symbol. Lookback Period Default: 14 Range: 8-100 Description: Controls the calculation window for momentum (RSI/MACD). Higher values result in a smoother, less sensitive oscillator. Divergence Type Default: RSI Options: RSI, MACD Description: Choose the momentum indicator to use for the divergence calculation. Enable Volume Weighting Default: true Description: When enabled, gives more weight to divergence signals that are accompanied by significant volume. ✅Best Use Cases Identifying high-probability reversal points by spotting divergence in overbought or oversold territory. Confirming the strength of a trend by observing sustained positive or negative divergence. Pairs trading by taking a long position on the outperforming asset and a short position on the underperforming one during a divergence. Risk management by recognizing when a current trend is losing its underlying momentum. ⚠️Limitations Requires Correlated Assets: The indicator’s effectiveness is highly dependent on the selection of two assets with a known correlation (e.g., ES and NQ). Not a Standalone System: Divergence signals should be used in conjunction with other forms of analysis (price action, market structure) and not as a complete trading system. Lagging by Nature: As it is based on moving averages and past price data, the oscillator is inherently lagging and may not capture all rapid price changes. 💡What Makes This Unique Combined Momentum & Volume: Unlike standard oscillators, it fuses momentum with volume delta for a more robust “Smart Money” perspective. Noise-Filtering Mechanism: The proprietary entropy filter is a unique feature designed to weed out insignificant market chatter and focus on high-conviction signals. 🔬How It Works Data Normalization: The script first normalizes the price data of the two selected symbols into percentage changes. This ensures that the comparison is fair, regardless of the difference in their price scales. Momentum Calculation: It then calculates the chosen momentum value (either RSI or MACD histogram) for each of the normalized price series. Divergence Computation: The core of the indicator lies in subtracting the momentum of the secondary symbol from the primary one. This raw divergence is then optionally weighted by volume and filtered for market noise (entropy) to produce the final oscillator value. 💡Note: For best results, use this indicator on adequate timeframes to filter out market noise. Always confirm signals with price action analysis before entering a trade.
Penunjuk Pine Script®
oleh PhenLabs
RSI Z-score | Lemniscuss🧠 Introducing RSI Z-Score (RSI-Z) by Lemniscuss 🛠️ Overview RSI Z-Score (RSI-Z) is a momentum-based market condition detector that transforms the classic Relative Strength Index (RSI) into a standardized volatility framework. By applying Z-Score normalization to the RSI, this tool allows traders to identify statistically significant deviations in momentum — cutting through noise and highlighting high-probability turning points. RSI-Z is optimized for trend inflection detection and overextension spotting, providing both visual clarity and actionable trade signals with dynamic labeling and optional bar coloring. 🔍 How It Works 1️⃣ RSI Foundation The system starts with a standard RSI calculation on a user-defined source and length (default: 45). 2️⃣ Z-Score Normalization The RSI values are standardized by subtracting their mean and dividing by the standard deviation over the same lookback. This converts RSI into a statistical measure — revealing how many standard deviations current momentum is from its mean. 3️⃣ Threshold Logic Two customizable thresholds define actionable zones: • Long Threshold → Signals bullish momentum shifts when crossed upward • Short Threshold → Signals bearish momentum shifts when crossed downward 4️⃣ Signal State Tracking A state variable locks in a bias (Long / Short / Neutral) until an opposing trigger appears, ensuring clear and consistent market bias mapping. ✨ Key Features 🔹 Statistically Driven Momentum Detection — Moves beyond fixed RSI overbought/oversold levels by using standard deviations for adaptive accuracy. 🔹 Customizable Thresholds — Fine-tune long/short triggers for different volatility environments. 🔹 Clear Visual Feedback — Candle coloring and signal labels make trade setups instantly recognizable. 🔹 Overlay-Friendly — Works directly on your main chart or in a separate pane. ⚙️ Custom Settings • Source: Price stream for RSI calculation (default: close) • RSI Length: Lookback period for RSI & Z-Score (default: 45) • Long Threshold: Z-score value for bullish signal (default: 1) • Short Threshold: Z-score value for bearish signal (default: -1.9) • Long/Cash Signal Labels: Toggle for "Long"/"Short" markers • Bar Coloring: Toggle for trend-based candle coloring 📌 Trading Applications ✅ Trend Reversals → Spot statistically significant shifts in momentum before traditional RSI signals trigger ✅ Overextension Monitoring → Identify when momentum has deviated too far from the mean ✅ Mean Reversion Setups → Use extreme Z-score values as potential reversion points ✅ Bias Confirmation → Combine with trend tools for higher conviction entries/exits 📌 Conclusion RSI-Z by Lemniscuss offers a clean, statistics-backed upgrade to the classic RSI. By framing momentum in standard deviation terms, it empowers traders to separate normal fluctuations from truly significant market moves — making it a valuable tool for both trend traders and mean reversion specialists. 🔹 Summary Highlights 1️⃣ Statistical upgrade to RSI for higher-quality signals 2️⃣ Threshold-based, customizable long/short triggers 3️⃣ Visual candle coloring & signal labels for clarity 4️⃣ Adaptable to trend, swing, or intraday strategies 📌 Disclaimer: Past performance is not indicative of future results. No indicator guarantees profitability — always test and manage risk appropriately.
Penunjuk Pine Script®
oleh lemniscuss
ALMA & UT Bot Confluence StrategyALMA & UT Bot Confluence Strategy This is a comprehensive trend-following and momentum strategy designed to identify high-probability trade setups by combining multiple layers of confirmation. It is built around an ALMA (Arnaud Legoux Moving Average) and a long-term EMA, and then enhances signal quality with the popular UT Bot indicator, a Volume Filter, and an adaptive hold mechanism. The primary goal of this strategy is to filter out market noise, avoid low liquidity traps, and provide more robust and selective trading logic by adapting its timing to changing market volatility. Key Features and How It Works This strategy is not a simple crossover system. An entry signal is generated by the confluence of only a few conditions: Underlying Trend and Signal Engine: ALMA (Arnaud Legoux Moving Average): Provides a responsive, low-latency signal line for entries. EMA (Exponential Moving Average): A longer-term EMA acts as a primary trend filter, ensuring trades are executed only in line with the overall market trend. Confirmation Layer: UT Bot Confirmation: A trade is considered valid only when the UT Bot indicator provides a relevant buy or sell signal. This acts as a strong secondary confirmation, reducing false entries. Advanced Filters for Signal Quality: Volume Filter: This is an important safety mechanism that prevents trades from being executed in low-volume, illiquid markets where price action can be erratic and unreliable. Momentum Filter (ADX and RSI): The strategy uses the ADX to check for sufficient market momentum and the RSI to ensure it doesn't enter overbought/oversold zones. Volatility Filter (Bollinger Bands): This helps prevent entries when the price deviates too far from its average, preventing "buying at the top" or "selling at the bottom." Adaptive Timing (Dynamic Cool-Down): Instead of a fixed waiting period between trades, this strategy uses a dynamic cooling-down period based on the ATR. It automatically waits longer during periods of high volatility (to prevent volatility) and becomes more responsive in calmer markets. How to Use This Strategy: Long Entry (BUY): When all bullish conditions align, a green "BUY" triangle appears below the price. Short Entry (SELL): When all bearish conditions align, a red "SELL" triangle appears above the price. Trend Visualization: The chart background is color-coded according to UT Bot's trend direction (Green for an uptrend, Red for a downtrend), allowing for at-a-glance market analysis. Double Exit Strategy Options You have full control over how you exit trades: Classic SL/TP: Use a standard Stop-Loss and Take-Profit order based on ATR (Average True Range) multipliers. UT Bot Trailing Stop (Recommended): A dynamic exit mechanism that follows the price allows your winning trades to catch up to larger trends while protecting your profits. Disclaimer This script is for educational purposes only and should not be construed as financial advice. Past performance is not indicative of future results. All trades involve risk. Before risking any capital, we strongly recommend extensively backtesting this strategy across your preferred assets and timeframes to understand its behavior and find settings that suit your personal trading style. The author recommends using this strategy with Heikin-Ashi candlesticks. Using this method will significantly increase the strategy's trading success rate and profitability in backtests. You should change the settings according to your preferred chart time range. You can find the best value for you by observing the value changes you make on the chart.
Strategi Pine Script®
oleh blntduman
Minimalist RSI - Nasdaq (14) with Volume Filter and AlertsDescription: This indicator shows the standard RSI (period 14) adapted for Nasdaq, with a clean and minimalist design. It adds visual levels for overbought (75) and oversold (25), plus an optional centerline 50 to better interpret momentum. It incorporates a high volume visual filter to confirm signals and avoid false entries in low-interest conditions. Buy and sell signals are based on RSI crosses in extreme zones, optionally filtered by volume to improve reliability. You can enable automatic alerts to receive notifications when important signals occur. How to use: Watch the RSI and its position relative to overbought/oversold zones and the 50 line. Wait for high volume confirmation for greater reliability (you can disable this filter if preferred). Use buy and sell signals alongside your price action and overall context analysis to make decisions. Set alerts to not miss opportunities. Important Notice: This indicator is a support tool, not a complete strategy. Trading involves risks and no guarantees. Always use risk management and test the indicator on a demo before using it live. Personal note: This is my first script and I would love to receive constructive feedback to improve and offer better tools to the community. Thanks for trying it! Motivational phrase: “No risk, no reward.”
Penunjuk Pine Script®
oleh ShanksMaster
RSI Momentum Divergence Zones [ChartPrime]⯁ OVERVIEW RSI Momentum Divergence Zones is a hybrid oscillator and chart overlay tool that detects RSI-based momentum divergences and projects them as key zones on the chart. By combining RSI divergence logic with horizontal level plotting, this indicator reveals high-probability support and resistance areas where price has historically reacted to hidden or classic divergences. ⯁ KEY FEATURES Momentum-Based RSI Source: Instead of the classic RSI input, this tool uses the momentum of price as the RSI source: rsiSrc = ta.mom(close, 10) This emphasizes acceleration and deceleration of price moves, sharpening divergence signals and making them more responsive to early shifts in momentum. Automatic Divergence Detection (Optional): When enabled, the indicator continuously scans for: — Bullish Divergence : Price makes a Lower Low while RSI forms a Higher Low — Bearish Divergence : Price makes a Higher High while RSI forms a Lower High It ensures divergence is valid by checking the spacing between pivots (min 5, max 50 bars). Divergence Labels & Markers (RSI Pane + Chart): When a valid divergence is detected: — On RSI pane: Labels appear at HL/LH points (“Bull” / “Bear”) Colored lines show pivot structures — On price chart: Labels (“▲ Bull” / “Bear ▼”) mark price pivot that triggered the divergence Lines highlight the exact price level at the divergence origin Divergence Zones / Levels (Toggleable): The indicator projects horizontal zones across the chart based on confirmed divergence points. These levels dynamically extend as long as price respects them, and auto-expire once broken. They act as S/R levels created by market imbalance caused by divergence reactions. Dynamic Zone Extension Logic: Once plotted, divergence levels will extend to the right: — If price respects the level, the zone keeps growing — If broken in the opposite direction, the level stops extending and turns dashed (visually showing break) Zone Layering and Limit Control: You can limit the number of simultaneous zones shown on the chart (e.g., 10 most recent). Old zones automatically expire and are removed to keep the chart clean and focused. Color Customization and Intensity: Different colors for bullish and bearish zones let you easily distinguish trend direction. Background fill, line width, and transparency are all adjustable. Clean Zone Management with Arrays: Behind the scenes, the script uses custom divLevel type arrays to manage plotted levels, ensuring they stay up-to-date, extend correctly, and delete once invalidated. ⯁ USAGE Use bullish divergence zones as potential demand areas and bearish ones as supply zones. Combine RSI pane labels with price-level zones to confirm strength of reversal. Watch for price approaching a divergence level to anticipate reactions or breakouts. Use divergence levels as trade triggers, stop-loss guides, or take-profit markers. Limit signal count using the “Qty Divergence Zones” setting to reduce chart clutter. Enable divergence detection only when you want to focus on key structural zones — ideal for swing or positional setups. ⯁ CONCLUSION RSI Momentum Divergence Zones blends oscillator divergence logic with price action structure to uncover hidden strength or weakness in the market. With flexible zone plotting and clean visual signals, this tool empowers traders to identify where momentum turns into structure — turning hidden signals into tradable edges.
Penunjuk Pine Script®
oleh ChartPrime
17
EMA Deviation with Min/Max Levelshis indicator visualizes the percentage deviation of the closing price from its Exponential Moving Average (EMA), helping traders identify overbought and oversold conditions. It dynamically tracks the minimum and maximum deviation levels over a user-defined lookback period, highlighting extreme zones with color-coded signals: • 🔵 Normal deviation range • 🔴 Near historical maximum — potential sell zone • 🟢 Near historical minimum — potential buy zone Use it to spot price extremes relative to trend and anticipate possible reversals or mean reversion setups.
Penunjuk Pine Script®
oleh Trade_Hive_Signals
✨Smart Option MACD: Bullish, Bearish, Neutral Logic by AKM ✨The **Smart Option MACD: Bullish, Bearish, Neutral Logic by AKM** is an advanced indicator designed for TradingView, tailored for option traders on indices like NIFTY. It automates options trend scanning by applying MACD analysis to both Call (CE) and Put (PE) options near the ATM (At-The-Money) strike, providing actionable market states—Bullish, Bearish, or Neutral—using distinct logic for both strikes and overall market context. *** ### Core Features - **Option Selection Logic:** The script dynamically calculates ATM, CE, and PE strike prices based on the underlying index spot price and customizable user inputs for expiry, strike distance, and OTM/ITM shift. - **MACD on Option Prices:** For both CE and PE symbols, the indicator computes the MACD (Moving Average Convergence Divergence) and Signal lines. It uses standard MACD settings: 12-period EMA (fast), 26-period EMA (slow), and 9-period Signal. - **Strike Status Classification:** - AZL 🔼: Indicates MACD > 0 for that option, signifying positive momentum. - BZL 🔽: Indicates MACD 0 & crossover up), PE is bearish (MACD<0 & crossover down). - **Bearish:** PE is bullish & crossover up, CE is bearish & crossover down. - **Neutral:** All other scenarios—including mixed or undefined signals. *** ### Table Output A real-time table is displayed on the chart (top-right) with key option and market details: - Spot price - ATM Strike - CE/PE strike status (momentum + crossover logic) - Option prices - Overall market state, color-coded for clarity *** ### How to Use This Indicator - **Entry Signal:** Use the Bullish/Bearish status for directional trades or option strategies. Bullish calls for buying or selling upward momentum options; Bearish favors downside trades. Neutral advises caution or range-bound trades. - **Customizability:** Expiry, strike width, OTM/ITM offset, and chart resolution are user-controlled, allowing adaptation to different market contexts. - **Best Practice:** Use alongside price action, support/resistance zones and other indicators to confirm options momentum, as MACD is powerful yet not infallible. *** ### Who Is It For? - **Option traders** who want to automate trend/momentum detection for CE/PE strikes instead of manual chart switching. - **Index traders** (NIFTY, BANKNIFTY...) seeking systematic edge in intraday/positional strategies tied to option momentum. - **Technical analysts** interested in visual, rule-based signals combining options data and classic MACD logic. *** The Smart Option MACD indicator streamlines multi-strike, multi-option momentum analysis and presents clear actionable logic directly on your chart for enhanced decision-making. Use it as a core part of your TradingView toolkit for options-focused market views.
Penunjuk Pine Script®
oleh ASHISH_MAROTKAR
QUANTUM MARKET ANALYZER X7QUANTUM MARKET ANALYZER X7 — Study Material (Learning & Teaching Guide) What this tool is (and isn’t) QUANTUM MARKET ANALYZER X7 is a multi-factor TradingView indicator that summarizes many classic signals into one dashboard. It does not predict the future or guarantee profits. It simply scores what is happening now using oscillators, moving averages, order-block behavior, trendline/channel context, Supertrend bias, and volume/flow clues—so you can make structured, risk-aware decisions. ________________________________________ Quick start (for brand-new traders) 1. Add the indicator to a chart. 2. Pick an Analysis Timeframe (e.g., 60-min for day trading, 4-hour for swing). 3. Read the Summary tile first; then check Oscillators → MAs → OB/Trendline/Supertrend → Volume. 4. Take trades only when multiple sections agree, and always plan stop loss and size before entry. ________________________________________ How the dashboard is built (section by section) Below you’ll learn what each section measures, how the numbers are produced, and how to interpret them. The script converts each sub-signal into a small integer (e.g., +2, +1, 0, −1, −2). These are summed into section totals and then into a Summary score. 1) Summary (the combined score) • What it is: The grand total of all sections (Oscillators + Moving Averages + Advanced: OB, Trendline/Channel, Supertrend, Volume). • How it’s labeled: o Large positive total → BUY / STRONG BUY o Around zero → NEUTRAL o Large negative total → SELL / STRONG SELL • How to use: Treat it as a headline, not a trigger. Confirm with the sections below and price action. ________________________________________ 2) Oscillators (momentum / overbought–oversold) Inputs used on your chosen timeframe: • RSI(14): o 70 → bearish pressure (−) o <30 → bullish pressure (+) • Stochastic (14): o 80 overbought (−), <20 oversold (+) • CCI(20): o +100 (−), <−100 (+) • Williams %R(14): o −20 overbought (−), <−80 oversold (+) • MACD(12,26,9): o MACD line > Signal → (+), below → (−) • Momentum(10): >0 → (+), <0 → (−) • ROC(9): >+2% → (+), <−2% → (−) • Bollinger Bands(20,2): o Price > Upper band → (−), < Lower band → (+) How it scores: Each item contributes between −2 and +2 (or −1/+1 for some). The Oscillator total is their sum. How to use: Oscillators excel for timing. Favor longs when the total is clearly positive and exiting or avoiding when clearly negative. ________________________________________ 3) Moving Averages (trend/structure) MAs used: SMA(10/20/50/100/200) and EMA(10/20/50). Scoring logic: Compares price vs each MA: • Price > MA by >2% → +2 (strongly bullish) • Price > MA by 0–2% → +1 • Price < MA by 0–2% → −1 • Price < MA by >2% → −2 How to use: A clearly positive MA total suggests trend alignment for longs; clearly negative favors shorts or flat. Mixed readings → treat as range/transition. ________________________________________ 4) Order-Block (OB) breakout analysis (support/resistance from clustered reactions) What it approximates: The script searches a lookback window for pivot-like candles and counts repeated “touches” near that level (within ±0.2%) to infer support (bullish OB) or resistance (bearish OB). Settings you can tune • OB Lookback Period: how far back to search. • Min OB Touches: more touches = stronger level. Signals produced • BULLISH BRK: Price crosses above the most recent bearish OB (resistance → breakout). • BEARISH BRK: Price crosses below the most recent bullish OB (support → breakdown). • ABOVE SUP / BELOW RES: Price position relative to the latest OB levels. How to use: Use OB with MAs and Volume. Best when a breakout comes with trend alignment and volume expansion. ________________________________________ 5) Trendline / Channel analysis (context envelope) Rather than a single diagonal line, this module forms a dynamic channel: • Finds highest high and lowest low over your Trendline Lookback. • Builds a midline = (highest + lowest)/2. • Creates an upper/lower channel by multiplying the range with Channel Width Multiplier. Signals produced • UPPER BRK: Price > upper channel (bullish expansion) • LOWER BRK: Price < lower channel (bearish expansion) • ABOVE MID / BELOW MID: Bias zone inside channel How to use: Treat UPPER/LOWER breaks as momentum context. Confirm with MAs and Volume before acting. ________________________________________ 6) Supertrend (ATR-based bias) • Uses ta.supertrend(ATR Multiplier, ATR Period) on your analysis timeframe. • Signal: o BULLISH when Supertrend flips to trend-up state o BEARISH when it flips to trend-down Tuning tips: • Higher ATR Multiplier (e.g., 6) → fewer, higher-quality flips. • Lower multiplier → more responsive, more noise. How to use: Use Supertrend as a trend filter. Avoid fighting it unless higher-timeframe context disagrees and you have strong confluence. ________________________________________ 7) Volume/Flow analysis (participation & pressure) This section combines several volume-based tools: 1. Volume Spike vs MA o Volume MA Period (default 20) o Volume Spike Threshold (e.g., 1.5×) o If current volume / MA > threshold → spike. 2. OBV vs OBV-MA → Accumulation (+) / Distribution (−) 3. VPT vs VPT-MA → Price-volume trend alignment (+/−) 4. MFI(14): >70 (−), <30 (+) 5. Accumulation/Distribution vs its MA → (+/−) Scoring: • Big spike with up bar → +2; with down bar → −2 • Each of OBV, VPT, MFI, A/D adds +1 or −1 Interpretation labels: • HIGH ACC / ACCUM → constructive flow • HIGH DIST / DISTRIB → selling pressure • NEUTRAL → no edge How to use: Favor setups where directional signals + trend + volume point the same way. ________________________________________ Putting it together — a repeatable reading order 1. Summary: What’s the combined bias? 2. Oscillators: Is momentum supportive or stretched? 3. MAs: Is price aligned with the trend structure? 4. OB & Trendline/Channel: Are we breaking key levels/zones? 5. Supertrend: Is the higher-level bias with you or against you? 6. Volume: Is there participation to confirm the move? Only act when at least 3–4 sections agree and you can define a logical stop and position size. ________________________________________ Parameter tuning (step-by-step) 1. Choose timeframe: o 15–60m for active trading; 4h–1D for swing. 2. Oscillators: o Keep defaults first; later tighten or loosen thresholds only if you’ve tested. 3. Moving Averages: o The script’s built-in 0–2% bands around each MA are sensible. o If your market is very volatile, you can consider widening the 2% threshold to reduce whipsaws (requires code edit). 4. Order Blocks: o Start with OB Lookback ~50 and Min Touches = 2. o Increase touches for fewer, stronger zones. 5. Trendline/Channel: o Longer Trendline Lookback and smaller Channel Width → tighter channel (more breaks). o Shorter lookback and larger width → fewer breaks. 6. Supertrend: o If you get too many flips, raise ATR Multiplier. o If it’s lagging, lower it slightly. 7. Volume: o For quieter instruments, reduce the Threshold (e.g., 1.2×). o For very liquid/active markets, 1.5–2.0× works well. ________________________________________ Example playbooks (for practice) A) Pro-trend long continuation • Summary: BUY or STRONG BUY • MAs: clearly positive • Supertrend: BULLISH • OB/Trendline: ABOVE MID or UPPER BRK • Volume: ACCUM or HIGH ACC Plan: Enter on a minor pullback; stop below recent structure; scale out at logical resistance. B) Mean-reversion short (cautious) • Oscillators: multiple overbought readings (RSI>70, price > BB upper) • MAs: still positive (trend up), so this is countertrend • Volume: no spike Plan: If you must, take smaller size, tighter stop, faster targets. Prefer waiting for alignment instead. C) Breakout with confirmation • OB: BULLISH BRK of a known resistance • Trendline/Channel: UPPER BRK • Volume: spike with up bar • Supertrend: recently flipped up Plan: Enter on retest or structured continuation; define stop under breakout level. ________________________________________ Common pitfalls to avoid • Acting on one section alone. Confluence matters. • Chasing after long candles without volume follow-through. • Ignoring timeframe alignment. Check the next higher timeframe. • Oversizing trades just because “Summary = Strong Buy/Sell.” • Moving stops farther instead of accepting a planned loss. ________________________________________ Practice & evaluation routine 1. Replay mode (TradingView Bar Replay) to practice reading the tiles in order. 2. Journal each trade: which sections agreed, where stop/target were, outcome. 3. Weekly review: Were losing trades missing confirmation? Did you respect size rules? 4. Iterate cautiously: Change one setting at a time and observe for a week. ________________________________________ Frequently asked questions Q: Is the Summary score weighted? A: Each sub-signal contributes small integers; totals from Oscillators, MAs, and Advanced sections are added without fancy weighting, keeping it transparent. Q: Can I use this as a standalone system? A: It’s best used as a decision support layer with your own risk rules, not as a mechanical “buy/sell” machine. Q: Which timeframe is best? A: The one that matches your holding period. Always confirm with at least one higher timeframe. ________________________________________ Suggested classroom flow (for teaching) 1. Session 1: Oscillators only → identify good vs stretched momentum. 2. Session 2: Moving Averages → trend structure and bias. 3. Session 3: OB + Trendline/Channel → location and breakouts. 4. Session 4: Supertrend + Volume → confirmation and participation. 5. Session 5: Confluence building → case studies and journaling. 6. Session 6: Risk management, sizing, and review habits. ________________________________________ Disclaimer aiTrendview (please read) This indicator and study material are provided for educational and research purposes only. They do not constitute financial advice, investment recommendations, or a promise of performance. Trading involves substantial risk and may result in losses. Past performance of any method or indicator does not guarantee future results. You are solely responsible for your trading decisions, including risk management, position sizing, and due diligence. Always test ideas in a demo environment before using real capital, and consider consulting a licensed financial advisor.
Penunjuk Pine Script®
oleh aiTrendview-Charting-System
Bollinger Bands Signal Pro(Mastersinnifty)Description Bollinger Bands Signal Pro is a multi-filter trading tool designed to identify high-probability buy and sell opportunities using Bollinger Bands, RSI, volume, and trend confirmation. This indicator provides clear visual signals directly on the chart and a real-time information panel for quick decision-making. How It Works Calculates Bollinger Bands using user-defined length and multiplier. Generates buy signals when price crosses below the lower band with optional RSI oversold, high volume, and bullish trend confirmation. Generates sell signals when price crosses above the upper band with optional RSI overbought, high volume, and bearish trend confirmation. EMA crossovers determine the trend filter direction. Displays a live dashboard showing BB position, RSI value, trend direction, volume condition, and current signal status. Includes alert conditions for automated notifications. Inputs BB Length – Number of bars for Bollinger Bands calculation. BB Multiplier – Standard deviation multiplier for bands. RSI Length – Lookback period for RSI. Volume MA Length – Period for average volume calculation. RSI Oversold/Overbought Levels – Thresholds for filtering signals. Use RSI Filter – Enable/disable RSI-based filtering. Use Volume Filter – Enable/disable volume condition. Use Trend Filter – Enable/disable EMA-based trend confirmation. Use Case Spot overextended market moves with confirmation from multiple conditions. Enhance signal reliability by filtering with RSI, volume, and trend. Receive automated alerts for actionable trading opportunities. Quickly assess market conditions via the built-in signal dashboard. Disclaimer This indicator is a technical analysis tool and should not be considered financial advice. Trading involves risk, and past performance does not guarantee future results. Users are encouraged to test the script in a demo environment and apply proper risk management before trading with real capital.
Penunjuk Pine Script®
oleh Mastersinnifty
Buy/Sell Alert Strong Signals [TCMaster]This indicator combines Smoothed Moving Averages (SMMA), Stochastic Oscillator, and popular candlestick patterns (Engulfing, 3 Line Strike) to highlight potential trend reversal zones. Main features: 4 SMMA lines (21, 50, 100, 200) for short-, medium-, and long-term trend analysis. Trend Fill: Background shading when EMA(2) and SMMA(200) are aligned, visually confirming trend direction. Stochastic Filter: Filters signals based on overbought/oversold conditions to help reduce noise. Candlestick pattern recognition: Bullish/Bearish Engulfing Bullish/Bearish 3 Line Strike Alerts for each pattern when Stochastic conditions are met. ⚠️ Note: This is a technical analysis tool. It does not guarantee accuracy and is not financial advice. Always combine with other analysis methods and practice proper risk management. 🛠 How to Use: 1. SMMA Settings 21 SMMA & 50 SMMA: Short- and medium-term trend tracking. 100 SMMA: Optional mid/long-term filter (toggle on/off). 200 SMMA: Major trend direction reference. 2. Trend Fill EMA(2) > SMMA(200): Background shaded green (uptrend bias). EMA(2) < SMMA(200): Background shaded red (downtrend bias). Can be enabled/disabled in settings. 3. Stochastic Filter K Length, D Smoothing, Smooth K: Adjust sensitivity. Overbought & Oversold: Default 80 / 20 thresholds. Buy signals only valid if Stochastic is oversold. Sell signals only valid if Stochastic is overbought. 4. Candlestick Patterns 3 Line Strike: Bullish: Three consecutive bullish candles followed by one bearish candle closing below the previous, with potential reversal. Bearish: Three consecutive bearish candles followed by one bullish candle closing above the previous, with potential reversal. Engulfing: Bullish: Green candle fully engulfs the prior red candle body. Bearish: Red candle fully engulfs the prior green candle body. 5. Alerts Alerts available for each pattern when Stochastic conditions are met. Example: "Bullish Engulfing + Stochastic confirm". 📌 Important Notes Do not use this indicator as the sole basis for trading decisions. Test on a demo account before applying to live trades. Combine with multi-timeframe analysis, volume, and proper position sizing.
Penunjuk Pine Script®
oleh TCMaster