Mulai

Oscillatore

Haar Wavelet RSI [Jamallo]Author's Note This is the oscillator companion to the Haar Wavelet Range Filter. Both indicators share the same MODWT Haar wavelet foundation, creating a synergistic effect when used together — trend and momentum derived from the same mathematical decomposition of price. Introduction The Haar Wavelet RSI is a momentum oscillator that replaces the standard price-difference input of a traditional RSI with wavelet detail coefficients derived from a Maximal Overlap Discrete Wavelet Transform (MODWT) with a Haar basis. Instead of measuring bar-to-bar price change, it measures momentum at a specific frequency scale — filtering out the noise above and below that scale before the RSI calculation even begins. How It Works MODWT Haar Wavelet Decomposition The script decomposes hl2 through up to 5 wavelet levels using a shift-invariant Haar transform. At each level, the detail coefficients capture the local price delta at that specific scale — Level 1 is 2-bar momentum, Level 3 is 8-bar momentum, Level 5 is 32-bar momentum. These detail coefficients become the input to the RSI in place of raw price change, meaning the oscillator is measuring directional energy at a single isolated frequency rather than the full noisy price series. Wavelet RSI Calculation The selected detail coefficient is split into its upward and downward components, smoothed with Wilder's RMA, and fed into the standard RSI formula. The math is identical to a conventional RSI — the only difference is what it is measuring. Because the detail coefficients are already frequency-isolated, the resulting RSI is inherently cleaner than applying RSI to raw price. Adaptive Deadband Step-Hold The wavelet RSI output is then passed through an adaptive deadband filter. The threshold is self-derived from the RSI's own recent volatility — a short rolling average of absolute RSI changes — scaled by the deadband multiplier. The RSI only updates when it departs from its held value by more than this threshold. Below the threshold it holds flat. This eliminates the continuous micro-oscillation that makes standard RSI difficult to read on noisy bars, producing a stepped line that moves with conviction or not at all. Closing This is not a standard RSI with cosmetic changes. The wavelet decomposition fundamentally changes what the oscillator is measuring — momentum at a defined frequency scale rather than raw bar-to-bar noise. The decomposition level is the most important setting: lower levels suit faster timeframes and shorter momentum cycles, higher levels filter more aggressively and are better suited to swing-level momentum reads.
Indikator Pine Script®
oleh Jamallo22
Long/Short Ratio [BigBeluga]🔵 OVERVIEW Long/Short Ratio is a lower-timeframe volume imbalance analyzer that estimates real-time buyer vs seller dominance inside each bar. Instead of relying on exchange-reported positioning data, this indicator reconstructs directional pressure by aggregating volume from lower timeframes and separating it into buy-side and sell-side flow. The result is a dynamic percentage-based long/short ratio that reflects immediate participation shifts and short-term positioning pressure. 🔵 CORE CONCEPT Directional Volume Segmentation — Volume is classified as positive (buyers) when close > open, and negative (sellers) when close < open. Lower-Timeframe Aggregation — The script pulls volume data from smaller internal timeframes and aggregates it into the current chart bar. Buyer vs Seller Percentage — Total positive and negative volumes are converted into percentage ratios. Momentum Shift Detection — A smoothed change of the ratio helps detect acceleration or deceleration in positioning pressure. 🔵 HOW IT WORKS 1️⃣ Lower-Timeframe Volume Sampling The script automatically determines an internal lower timeframe based on the current chart timeframe. Volume is requested using request.security_lower_tf() . array delta_sign = request.security_lower_tf('', lower_tf, (close > open ? volume : -volume)) This allows intra-bar analysis instead of using only finalized candle volume. 2️⃣ Buyer / Seller Calculation If close > open → volume counts as buyer pressure. If close < open → volume counts as seller pressure. Buyer and seller totals are accumulated separately. Percentages are calculated: Buy % = Buyers / Total Volume Sell % = Sellers / Total Volume 3️⃣ Ratio Visualization Long (Buy %) plotted as teal columns. Short (Sell %) plotted as maroon columns. 50% midline represents balance between buyers and sellers. A stepline tracks the Buy % ratio for clarity. 4️⃣ Smoothed Ratio Momentum The indicator calculates a smoothed HMA of the user-defined change in Buy %. This produces a momentum curve showing acceleration in dominance. Color logic: Teal → Increasing long pressure Maroon → Increasing short pressure A dynamic midline (average of recent values) provides equilibrium reference. 5️⃣ Main Chart Dashboard A dedicated heads-up display (HUD) is anchored to the top-right of your main price chart (via force_overlay). This table provides the exact real-time Buy/Sell percentages of the current candle at a glance. Provides instant clarity without having to look down at the indicator pane. 6️⃣ Extreme Sentiment Signals Visual plotshape icons appear directly on the main chart when sentiment hits user-defined extreme thresholds. Extreme Buy: A triangle appears at the bottom of the price chart when buyers exceed the limit (default 80%). Extreme Sell: A triangle appears at the top of the price chart when sellers exceed the limit (default 80%). These markers help identify potential reversal points or "exhaustion" spikes. 🔵 KEY FEATURES Lower-timeframe volume reconstruction. Real-time Buy vs Sell percentage display. Main chart dashboard for immediate data access. Adjustable Extreme Sentiment markers and thresholds. Customizable colors and smoothing periods for the momentum curve. Clear 50% equilibrium reference line. Dynamic long/short stepline. Automatic timeframe adaptation. Visual Buy / Sell labels with live percentage updates. 🔵 HOW TO USE Above 50% Buy → Long pressure dominance. Below 50% Buy → Short pressure dominance. Watch for strong divergence between price and ratio. Use the smoothed ratio curve to detect acceleration in positioning. Extreme spikes (marked by triangles) can indicate exhaustion or breakout fuel. Best used on 5-minute and higher timeframes for reliable aggregation. 🔵 INTERPRETING POSITIONING Rising price + rising Buy % → Confirmed bullish participation. Rising price + falling Buy % → Weak trend / potential divergence. Falling price + rising Buy % → Absorption. Extreme imbalance → Potential short squeeze or long squeeze setup. 🔵 CONCLUSION Long/Short Ratio provides a clean, data-driven view of intrabar participation pressure without relying on external exchange positioning feeds. By combining lower-timeframe aggregation, percentage imbalance, and smoothed momentum detection—now enhanced with a main chart dashboard and extreme signal icons—it offers a practical tool for spotting positioning shifts, divergence, and participation-driven breakouts.
Indikator Pine Script®
oleh BigBeluga
8
AG Pro Williams %R Exhaustion Map [AGPro Series]AG Pro Williams %R Exhaustion Map Overview / What it does AG Pro Williams %R Exhaustion Map is a bounded-oscillator reaction map built to study exhaustion behavior around the extreme ends of Williams %R. Instead of treating Williams %R as a simple overbought/oversold trigger, this script maps whether an extreme reading is only being touched briefly, held with persistence, beginning to release, failing to release, or unwinding with more structure. The goal is to organize extreme-zone behavior into readable states rather than reduce the tool to a basic reversal shortcut. The script is designed for traders who want to understand when an extreme condition is still being sustained and when that same condition may be starting to lose efficiency. In practice, that means the script focuses less on isolated crossings and more on the sequence around them: entry into an extreme zone, time spent there, the first release attempt, the possibility of a failed release, and the confirmation of an exhaustion unwind. This sequence-based framing is what gives the tool its map identity. Within the AG Pro series, this script is intentionally separate from tools that revolve around trend confirmation, centerline balance, divergence, or generic momentum shifts. It is also intentionally separate from the series' Stochastic-based exhaustion work. Stochastic can be useful for reading swing rhythm and rotational turns, while this Williams %R version is centered more tightly on bounded extreme persistence and release behavior. In other words, this script is not presented as an alternative skin for another oscillator. It is a different framework for reading how price behaves when an oscillator remains pinned near an edge and then attempts to escape that condition. Unique Edge The unique edge of this script is not that it plots Williams %R, but that it classifies the life cycle of an extreme reading. The script distinguishes between stretch, locked conditions, release attempts, failed releases, and exhaustion unwinds. That structure helps separate three situations that are often mixed together in standard oscillator use: 1) an extreme reading that is still being sustained, 2) an extreme reading that has started to weaken but may still fail, and 3) an extreme reading that is releasing with enough follow-through to qualify as an exhaustion unwind. This matters because many standard oscillator workflows treat every exit from an extreme zone as if it carried the same informational value. This script does not. It places more emphasis on persistence, release quality, and post-release follow-through, which can help users avoid treating every early reversal attempt as equivalent. Methodology The script begins with Williams %R and user-defined extreme thresholds. From there, it evaluates how long the oscillator remains in the upper or lower extreme zone and how deeply it is embedded in that zone. This forms the basis of the lock-strength logic. A fast touch into an extreme area and an extended embedded condition are therefore not interpreted in the same way. Once an extreme condition has persisted long enough, the script begins monitoring for a release. A release is not defined as any random movement away from the boundary. It requires the prior extreme condition to have had sufficient persistence and then looks for a buffered move away from the threshold. This helps reduce noise from trivial fluctuations around the extreme lines. After a release is detected, the script continues to track what happens next. If the oscillator quickly slips back into the same extreme region, the move can be classified as a failed release. If the move continues far enough away from the release anchor within the confirmation window, it can be classified as an exhaustion unwind. This post-release tracking is a central part of the script's design because it helps distinguish between temporary relief and more meaningful exhaustion release. The panel summarizes this process using state, side, lock strength, and release quality. Lock strength is intended to reflect how established the prior extreme condition was. Release quality is intended to reflect the quality of the release sequence, not forecast what price must do next. These metrics are descriptive and contextual. They are not guarantees. Signals & Alerts This script provides event-style labels and alert conditions for the main transitions in the exhaustion sequence. The alerts are deterministic and tied to explicit script conditions rather than discretionary interpretation. Main event types: - Bullish release detected - Bearish release detected - Bullish release failed - Bearish release failed - Bull exhaustion unwind confirmed - Bear exhaustion unwind confirmed How to interpret them: - A release event marks the first qualified move away from a persistent extreme condition. - A failed release marks a release attempt that reverted back into the prior extreme condition too quickly. - An exhaustion unwind confirmation marks a release that traveled far enough from its anchor within the configured window to qualify as a more established unwind sequence. These events are intended to help structure chart reading. They are not standalone trade instructions, and they are not framed as guaranteed reversal signals. Key Inputs Williams %R Length Controls the oscillator lookback period. Upper Extreme / Lower Extreme Define the zones used to classify upper and lower exhaustion behavior. Lock Bars Controls how much persistence is required before an extreme condition is treated as locked rather than only stretched. Release Buffer Adds distance beyond the raw threshold so the script does not treat every minor edge fluctuation as a release. Confirm Distance / Confirm Window Control how far and how quickly a release must extend to qualify as an exhaustion unwind. Fail Window Controls how quickly a release can revert back into the extreme zone and still be classified as a failed release. Event Memory Bars Controls how long the release state is remembered on the chart. Visual Settings Allow users to control event labels, minimum spacing between labels, background tint, and optional price-bar coloring. Panel Settings Allow users to control panel visibility, placement, font size, and theme. How this differs from related AG Pro scripts This script should not be confused with the series' other momentum or exhaustion tools. Compared with Stochastic-based exhaustion work in the AG Pro series, this script is less about oscillator rhythm and more about the persistence and release structure of a bounded extreme condition. The emphasis here is on whether Williams %R remains pinned, whether the first escape attempt fails, and whether the unwind becomes established. Compared with RSI-, CCI-, or MFI-oriented workflows, this script is not a centerline trend model, not a divergence engine, and not a money-flow proxy. Its purpose is narrower and more specific: to map the state transition of extreme Williams %R conditions. Compared with broader trend or regime tools in the AG Pro series, this script is not trying to classify the full market environment by itself. It is better understood as a focused reaction map that can be used alongside a user's own structure, trend, or risk framework. Limitations & Transparency This is an indicator, not a strategy. It does not place orders, it does not calculate performance statistics, and it does not claim to predict future price direction. It visualizes oscillator-state transitions derived from Williams %R and user-defined thresholds. Like all bounded oscillators, Williams %R can remain in extreme territory for extended periods during strong directional conditions. For that reason, an extreme reading should not automatically be interpreted as a reversal condition. This script attempts to improve that interpretation by separating stretch, lock, release, failed release, and unwind behavior, but it does not eliminate false positives. Results can vary meaningfully with symbol, timeframe, volatility regime, and input configuration. Traders should expect the script to behave differently on very quiet markets, strongly trending markets, and highly reactive instruments. Label frequency and state persistence can also change materially when thresholds and confirmation settings are adjusted. This tool is intended to support chart organization and decision framing. It should be used with the user's own market structure analysis, execution model, and risk management process. Risk Disclosure This script is provided for educational and analytical purposes only. It is not financial advice, not a solicitation, and not a promise of results. Trading and investing involve risk, including the risk of loss. No indicator can remove uncertainty from markets, and no exhaustion signal guarantees reversal, continuation, or trade success. Users should validate any workflow with their own testing, judgment, and risk controls before using it in live decision-making.
Indikator Pine Script®
oleh AGProLabs
3
AG Pro CCI Reversion Quality [AGPro Series]AG Pro CCI Reversion Quality Overview AG Pro CCI Reversion Quality is a chart-based analysis framework designed to evaluate the quality of potential mean reversion conditions after meaningful CCI displacement. The script is not built around the simplistic idea that every overextended reading should immediately reverse. Instead, it focuses on whether a stretch condition begins to mature into a more structured, readable, and context-aware reversion environment. The core objective is to separate raw CCI extremes from higher-quality reversion candidates. In many conventional oscillator workflows, a high positive or negative CCI reading is treated as a direct trigger. This script does not follow that approach. A strong stretch may still reflect healthy continuation, trend persistence, or unstable counter-trend conditions. For that reason, the script evaluates the quality of the reversion setup rather than the existence of a threshold breach alone. The indicator is built for users who want a more selective framework around mean reversion. It examines whether price has deviated enough from an EMA-based reference mean, whether the reversion path remains meaningful, whether trend pressure is working against the setup, and whether recent structure suggests a cleaner or more crowded return path. The output is a contextual quality view rather than a one-dimensional overbought or oversold label. This means the script should be understood as a decision-support tool for chart study and workflow organization. It is intended to help users distinguish between conditions that are immature, weak, blocked, developing, or stronger within a mean reversion context. It does not guarantee that price will reverse, and it does not assume that every stretch condition deserves a fade. What the script does The script monitors CCI displacement and then evaluates whether that displacement is beginning to convert into a more credible reversion environment. In practical terms, the workflow asks a sequence of questions. First, is there a meaningful stretch? Second, is the move beginning to lose directional quality or show reversion readiness? Third, is there enough room back toward the mean to matter? Fourth, is dominant trend pressure still strong enough to reduce the attractiveness of fading the move? Fifth, is nearby structure relatively clean, or is the path crowded by congestion and repeated mean interaction? By combining those layers, the script attempts to reduce the noise associated with raw oscillator threshold logic. A positive stretch does not automatically imply a short setup. A negative stretch does not automatically imply a long setup. The script instead checks whether the overall reversion context is becoming more coherent. This framework can be useful in discretionary workflows where users want to prioritize cleaner mean reversion candidates over mechanically reacting to every extreme oscillator reading. It is also useful for users who prefer a visual structure that summarizes context rather than one that continuously emits aggressive directional prompts. Unique edge The unique edge of this script is that it treats CCI as the starting point of the analysis, not the end point. Many oscillator-based studies stop at the detection of an extreme value. AG Pro CCI Reversion Quality continues beyond that stage and asks whether the extreme is maturing into a higher-quality reversion environment. This makes the tool different from a basic CCI threshold script, a classic overbought/oversold marker, or a simple cross-based reversal detector. The script is not designed to label every extreme. It is designed to grade the environment around the extreme. The indicator also keeps a clear distinction between stretch direction and stretch intensity. A market may be in a positive stretch or a negative stretch, but the degree of that stretch can still vary between mild, extended, and extreme conditions. In parallel, the script separately estimates reversion quality, trend pressure against the reversion idea, distance back to the reference mean, and structural friction. This multi-layered structure is meant to help users avoid treating all extreme readings as equivalent. Another important difference is that the script explicitly accounts for context that can weaken a counter-trend reversion idea. Strong directional pressure, repeated interactions with the mean, and crowded local structure can all reduce the clarity of a fade. Instead of ignoring those conditions, the model reflects them in the displayed quality state. Methodology The script begins with a CCI calculation and identifies whether price is in a neutral regime, a positive stretch regime, or a negative stretch regime. It then classifies stretch intensity according to threshold-based displacement logic. The purpose of this stage is to define whether the market is extended enough for reversion analysis to become relevant. From there, the indicator evaluates reversion readiness. This layer looks for signs that the stretch may be beginning to lose directional quality. Rather than relying on one isolated condition, the readiness component blends several pieces of information, such as directional change in CCI behavior, body structure, wick behavior, and simple stalling characteristics. This is meant to produce a broader view of whether reversion conditions are starting to organize. The model then evaluates distance to mean. This matters because a reversion concept is less meaningful if price is already too close to the reference mean, while a more meaningful opportunity may exist when displacement remains materially extended. The reference anchor used here is an EMA-based mean, and the script also visualizes an ATR-based reversion zone around that mean. Trend pressure is treated as a separate contextual penalty. This is a key design choice. A mean reversion idea that opposes strong directional pressure may be materially weaker than a similar stretch in a less forceful trend environment. The script therefore estimates how much prevailing directional pressure works against the reversion idea and reduces the effective quality view accordingly. Structure friction is also included. This component is intended to reflect whether the recent path is relatively clean or crowded. Repeated interaction with the mean, compression, and congestion can reduce the clarity of a reversion path. Instead of assuming that all distance from the mean is equally attractive, the script attempts to reflect when the path back toward the mean is noisy or structurally inefficient. All of these elements are combined into a composite Reversion Quality view. The final output is then expressed through panel information, chart labels, the zone display, and state logic. State model The state model is intentionally selective. It is meant to help users read context, not flood the chart with constant directional calls. NEUTRAL indicates that there is no active stretch regime currently qualifying for reversion analysis. WATCH indicates that a stretch exists and some reversion characteristics are forming, but the overall quality remains in an earlier or less mature stage. READY indicates that the reversion quality has advanced enough to meet the preferred threshold defined by the user inputs. This does not imply certainty or guaranteed reversal. It simply means that the model sees a stronger monitored reversion context than it did at lower-quality states. WEAK indicates that a stretch may exist, but the quality remains below the preferred threshold. This state is intentionally treated with caution. BLOCKED indicates that the environment is materially impaired by elevated opposing pressure or structural friction. In other words, the stretch may exist, but the model does not consider the reversion context clean enough. These states are designed to provide a workflow hierarchy rather than a promise hierarchy. The purpose is to help users prioritize and interpret, not to replace judgment. Visual structure The reference mean is displayed as an EMA-based mean line. Around it, the script plots an ATR-based reversion zone. This zone is intended to help users see the region surrounding the mean that is being used as the reversion anchor. The zone becomes more visually expressive when an active stretch context is present and more neutral when no active stretch is in focus. The on-chart labels are designed to show the dominant local state when relevant. Depending on user settings, the script can display WATCH, READY, BLOCKED, and optionally WEAK labels. The label system is filtered by spacing logic so the chart remains more readable and does not endlessly repeat the same message on adjacent bars. The information panel summarizes the active context. It is designed to show state, current reversion side, stretch direction, stretch intensity, reversion quality, trend pressure versus reversion, distance to mean, structure friction, setup bias, and a short risk note. The panel can also be repositioned from the settings, allowing the user to adapt placement to chart layout and personal preference. The chart guide labels are included to make the mean and zone easier to identify visually. Their role is descriptive, not predictive. Signals and alerts The alert structure is built around monitored reversion states rather than trading promises. The available alert conditions include Ready Long Reversion, Ready Short Reversion, Watch Long Reversion, Watch Short Reversion, Reversion Quality Upgrade, and Reversion Quality Breakdown. These alerts are designed to notify the user that the modeled reversion environment is changing. They should not be interpreted as guaranteed turning points. The script does not know future price behavior and does not claim to identify all reversals. It only identifies conditions that fit its internal reversion-quality logic. Because different assets, sessions, and volatility structures behave differently, users should always validate whether the alert behavior matches their own chart-reading process and timeframe preference. Key inputs The script includes inputs for CCI length, reference mean length, multiple stretch thresholds, READY and WATCH thresholds, trend pressure filter strength, structure friction lookback, reversion zone width, label spacing, background highlight transparency, and visual display controls. These inputs are intended to let users adapt the framework to different instruments and chart conditions. The script is not presented as universally optimal out of the box for all markets or all styles. Some users may prefer a more selective threshold structure, while others may prefer earlier WATCH states. Similarly, different assets may respond differently to the same mean length or zone width. The visual controls are included to help users keep the chart readable. Users can enable or disable signal labels, WATCH labels, WEAK labels, background highlights, guide labels, and the information panel. Label size and panel text size are also configurable. How to interpret the tool A useful way to interpret the script is to think of it as a contextual filter around reversion conditions. A high stretch value alone is not enough. The quality concept becomes more meaningful when stretch, readiness, distance to mean, and contextual penalties begin to align. If the script is neutral, it is signaling that no active stretch regime is currently in focus. If it is in WATCH, the script sees an emerging reversion environment, but one that may still be early or incomplete. If it reaches READY, the model is identifying a stronger monitored reversion context according to its current thresholds. If the state is BLOCKED, the model is emphasizing that pressure or structure is reducing the attractiveness of the reversion idea. The panel is especially helpful for separating why a setup is weak. In some cases, quality may be limited because distance to mean is too thin. In other cases, trend pressure may still be high. In others, structure friction may be elevated even if displacement exists. This decomposition is intentional because it gives the user a more transparent framework than a single opaque signal. What this script is not This script is not a simple CCI threshold indicator. It is not designed to mark every move above or below a fixed level as a reversal opportunity. It is not a guaranteed turning-point detector. Markets can remain extended for longer than expected, and strong trends can continue even after oscillator readings become extreme. It is not a standalone execution system. The script does not account for all trade management variables, liquidity considerations, news catalysts, slippage, or user-specific risk parameters. It is not a substitute for independent chart reading. It is intended to support analysis, not replace it. Limitations and transparency Like any chart-based model, this script has limitations. CCI extremes can persist, and a stretch can remain extended longer than a reversion-focused framework may prefer. In strong continuation phases, what appears to be a mature stretch can still fail to revert meaningfully. The reversion-quality approach is also sensitive to the interaction between volatility, price structure, and trend behavior. Different markets can produce different behavior profiles. A configuration that feels balanced on one asset or timeframe may feel too early or too conservative on another. The structure friction layer is an estimate, not an objective statement of future path quality. The trend pressure component is likewise a contextual model, not a certainty model. The script uses observable chart information to organize conditions, but it does not predict future order flow. Users should also understand that visualization choices are meant to improve readability, not imply certainty. The mean line, reversion zone, state labels, and background highlights are interpretive aids. Risk disclosure This script is provided for chart analysis, research, and workflow support. It does not provide financial, investment, legal, or tax advice. Nothing displayed by the script should be interpreted as a promise of outcome or a guarantee of reversal. All markets involve risk. Mean reversion concepts can fail, continuation can persist, and volatility conditions can change rapidly. Users should apply independent judgment, appropriate risk controls, and broader market context before acting on any chart-based interpretation. The script should be used as one analytical layer among many, not as a self-sufficient decision engine. Summary AG Pro CCI Reversion Quality is a selective mean reversion quality framework built around CCI displacement, EMA-based mean reference logic, distance-to-mean context, trend pressure, and structure friction. Its purpose is not to say that every extreme should fade. Its purpose is to help identify when an extreme begins to organize into a more structured reversion environment. The model is intended for users who want a cleaner, more context-aware interpretation of stretch conditions than a traditional threshold-only oscillator can provide. By separating stretch direction, stretch intensity, reversion quality, and contextual penalties, the script aims to make mean reversion analysis more structured, more transparent, and more selective.
Indikator Pine Script®
oleh AGProLabs
1
Quantum Relative Performance Oscillator [Pineify]Quantum Relative Performance Oscillator A sophisticated relative strength indicator that normalizes performance metrics to identify true momentum shifts between an asset and its benchmark. The Quantum Relative Performance Oscillator (RPO) is an advanced technical indicator designed to measure and visualize how a specific asset performs relative to a benchmark index. Unlike traditional relative strength indicators that can drift over time, this indicator normalizes the RS ratio to center around zero, providing traders with a clearer, more accurate picture of momentum shifts. The Quantum RPO addresses a fundamental limitation in traditional relative strength analysis. While standard RS indicators show whether an asset is outperforming or underperforming a benchmark, they don't easily reveal when that outperformance is accelerating or decelerating. This indicator solves that problem by normalizing the relative strength ratio and applying weighted moving average smoothing to create clear, actionable trading signals. Key Features Normalized RS Calculation: Centers the relative strength ratio around zero, eliminating long-term drift and making it easier to identify current momentum trends Weighted Moving Average (WMA) Processing: Uses WMA instead of simple moving averages for more responsive calculations that give greater weight to recent price action Dynamic Color Histogram: Visual representation of momentum acceleration and deceleration with intelligent color coding Crossover Signals: Clear bullish and bearish momentum shift indicators when the RS Ratio crosses above or below the signal line Customizable Benchmark: Compare any asset against a user-selected benchmark symbol (default: SPY) Adjustable Parameters: Configurable lookback length and signal smoothing for different timeframes and trading styles Built-in Alerts: Automated notifications for momentum shift events How It Works The indicator fetches closing prices for both the current asset and the user-defined benchmark symbol It calculates the raw Relative Strength (RS) by dividing the asset's close price by the benchmark's close price A Weighted Moving Average (WMA) is applied to the RS to establish a baseline equilibrium level The RS Ratio is calculated as: (RS / WMA) * 100 - 100, which normalizes the value around zero A Signal Line is created by applying additional WMA smoothing to the RS Ratio The histogram (Performance Delta) shows the difference between the RS Ratio and Signal Line, indicating momentum strength Trading Ideas and Insights Momentum Confirmation: Use the RS Ratio crossing above zero as confirmation that an asset is gaining relative strength against its benchmark Trend Reversal Signals: Watch for bullish crossovers (RS Ratio crossing above Signal Line) to identify potential trend reversals Relative Strength Screening: Compare multiple assets using the same benchmark to identify the strongest performers in a sector Divergence Detection: Look for situations where price makes new highs but the RS Ratio fails to confirm, indicating weakening relative momentum Sector Rotation: Use different benchmarks (sector ETFs) to identify rotation between sectors How Multiple Indicators Work Together This indicator combines three separate but complementary calculations to create a comprehensive relative strength tool: The raw RS calculation provides the fundamental comparison between asset and benchmark performance The WMA normalization removes drift and creates a centered oscillator that oscillates around zero The signal line smoothing filters out noise and provides clear crossover points for trading signals The histogram visualization combines both elements to show the magnitude and direction of momentum in one clear display Unique Aspects Unlike traditional RS indicators that can drift indefinitely higher or lower over time, the Quantum RPO's normalized calculation ensures the oscillator remains centered, making it easier to identify overbought and oversold conditions in relative terms The dynamic color histogram provides intuitive visual feedback about whether momentum is accelerating or decelerating, helping traders avoid false signals The use of Weighted Moving Averages rather than simple moving averages provides more responsive calculations that adapt faster to changing market conditions The built-in alert system allows traders to receive notifications automatically when momentum shifts occur, without needing to constantly monitor the chart How to Use Apply the indicator to any asset's chart Select your preferred benchmark symbol in the settings (SPY for US stocks, BTCUSD for crypto, etc.) Interpret the RS Ratio: Positive values indicate outperformance, negative values indicate underperformance Use the Signal Line crossovers for entry signals: Buy when RS Ratio crosses above Signal Line, Sell when it crosses below Monitor the histogram for momentum confirmation: Green columns rising indicate strengthening bullish momentum, red columns falling indicate strengthening bearish momentum Set up alerts for bullish and bearish momentum shifts to receive notifications Customization Benchmark Symbol: Change the comparison asset (SPY, QQQ, BTCUSD, etc.) Lookback Length: Adjust the period for WMA calculations (default: 20). Higher values produce smoother results with more lag; lower values are more responsive but may generate more false signals Signal Length: Modify the smoothing period for the signal line (default: 9) Color Customization: Customize the bullish (outperforming) and bearish (underperforming) colors to match your preferences These parameters can be adjusted to suit different trading timeframes, from intraday scalping to long-term position trading The Quantum Relative Performance Oscillator is a powerful tool for traders who want to understand not just whether an asset is outperforming its benchmark, but whether that outperformance is accelerating or losing steam. By normalizing the relative strength calculation and providing clear visual and alert-based signals, it helps traders make more informed decisions about entries, exits, and asset allocation across different markets and timeframes.
Indikator Pine Script®
oleh Pineify
1
Thermal Momentum Gauge [JOAT]Thermal Momentum Gauge Introduction The Thermal Momentum Gauge is an open-source institutional-grade pressure and volatility monitoring system that combines market pressure measurement, volatility temperature analysis, volume steam detection, and multi-factor explosion identification into a unified oscillator. This sophisticated system integrates multiple proven momentum methodologies to identify high-probability explosive move conditions where pressure, temperature, and steam factors converge. The indicator is designed for traders who understand that explosive market moves occur when multiple pressure systems align simultaneously. By synthesizing RSI pressure, WaveTrend momentum, Money Flow Index analysis, Stochastic pressure, ATR temperature, Bollinger Band width, volume steam detection, and confluence scoring, this tool helps identify structural market explosion points with thermal precision. Why This Integration Exists This indicator combines seven distinct pressure and volatility measurement frameworks that complement each other: Multi-Component Pressure System: Combines RSI, WaveTrend, MFI, and Stochastic RSI for comprehensive pressure measurement Thermal Temperature Analysis: Uses ATR and Bollinger Band width to measure market volatility temperature Volume Steam Detection: Analyzes volume spikes and directional volume pressure for steam identification Explosion Detection Engine: Multi-factor confluence system that identifies when all pressure systems align Momentum Confirmation System: Ensures signals occur at genuine turning points through momentum analysis Pressure Zone Classification: Defines thermal zones from extreme oversold to extreme overbought Signal Filtering System: Prevents overlapping signals while maintaining precision timing Each component addresses different aspects of market thermal dynamics. Pressure measurement reveals directional bias, temperature analysis shows volatility energy, steam detection indicates volume explosions, and confluence scoring quantifies setup quality. Together, they create a comprehensive thermal view that traditional single-dimension momentum indicators cannot provide. Core Components Explained 1. Multi-Component Pressure System (0-100 Scale) The system combines four pressure measurements for comprehensive analysis: RSI Pressure: RSI Pressure = RSI(close, rsi_length) // Standard 0-100 scale WaveTrend Pressure: ESA = ema(hlc3, wt_channel_length) D = ema(abs(hlc3 - ESA), wt_channel_length) CI = (hlc3 - ESA) / (0.015 * D) WT1 = ema(CI, wt_average_length) WT Pressure = (WT1 + 100) / 2 // Normalize -100 to 100 → 0 to 100 MFI Pressure: MFI Pressure = MFI(hlc3, mfi_length) // Money Flow Index 0-100 Stochastic RSI Pressure (Optional): Stochastic RSI = Stochastic(RSI(close, rsi_length), stoch_length) Stoch Pressure = sma(Stochastic RSI, 3) Combined Pressure: Total Pressure = (RSI + WT + MFI + Stoch) / 4 // With Stochastic Total Pressure = (RSI + WT + MFI) / 3 // Without Stochastic 2. Thermal Temperature System (0-100 Scale) Measures market volatility energy through dual methods: ATR-Based Temperature: ATR Percentage = (ATR(atr_length) / close) * 100 ATR Temperature = ATR Percentage * temperature_multiplier Bollinger Band Width Temperature (Optional): BB Basis = sma(close, bb_length) BB Deviation = bb_multiplier * stdev(close, bb_length) BB Width = ((BB Upper - BB Lower) / BB Basis) * 100 BB Temperature = BB Width * 5 // Scale to 0-100 Combined Temperature: Temperature = min((ATR Temperature + BB Temperature) / 2, 100) // With BB Temperature = min(ATR Temperature, 100) // Without BB 3. Volume Steam Detection (0-100 Scale) Analyzes volume explosions and directional pressure: Volume Steam Base: Volume Ratio = volume / sma(volume, volume_length) Steam Base = Volume Ratio * 50 Volume Delta (Optional): Buy Volume = close > open ? volume : 0 Sell Volume = close < open ? volume : 0 Volume Delta = (Buy Volume - Sell Volume) / volume * 50 Combined Steam: Steam = min(Steam Base + abs(Volume Delta), 100) Steam Classifications: - Steam Burst: Steam > steam_threshold (default 80) - Extreme Steam: Steam > 90 - Volume Spike Direction: Bullish (close > open) or Bearish (close < open) 4. Explosion Detection Engine Multi-factor confluence system with momentum confirmation: Momentum Confirmation: Pressure Momentum = change(Total Pressure) Pressure Acceleration = change(Pressure Momentum) Momentum Shift = (momentum > 0 AND momentum <= 0) OR (momentum < 0 AND momentum >= 0) Confluence Score (0-5): Confluence Components: - Pressure Factor: Total Pressure > pressure_threshold ? 1 : 0 - Temperature Factor: Temperature > temperature_threshold ? 1 : 0 - Steam Factor: Steam > steam_threshold ? 1 : 0 - WaveTrend Extreme: WT Pressure > 80 OR WT Pressure < 20 ? 1 : 0 - Extreme Steam: Steam > 90 ? 1 : 0 Confluence Score = Sum of all factors (0-5) Explosion Conditions: Explosion = Confluence Score >= minimum_confluence AND (Momentum Shift OR abs(Pressure Acceleration) > 2) Bull Explosion = Explosion AND Total Pressure > 50 AND Pressure Momentum > 0 Bear Explosion = Explosion AND Total Pressure < 50 AND Pressure Momentum < 0 Perfect Explosion (Rare): Perfect Explosion = Confluence Score == 5 AND abs(Pressure Momentum) > 3 Perfect Bull = Perfect Explosion AND Total Pressure > 50 AND Pressure Momentum > 0 Perfect Bear = Perfect Explosion AND Total Pressure < 50 AND Pressure Momentum < 0 5. Thermal Zone Classification The system defines seven thermal pressure zones: Extreme Overbought: Pressure > 80 (Critical thermal level) Overbought: Pressure 70-80 (High thermal level) Neutral High: Pressure 55-70 (Warm thermal level) Equilibrium: Pressure 45-55 (Neutral thermal zone) Neutral Low: Pressure 30-45 (Cool thermal level) Oversold: Pressure 20-30 (Low thermal level) Extreme Oversold: Pressure < 20 (Critical thermal level) 6. Signal Filtering System Prevents overlapping signals while maintaining precision: Minimum Bars Between Signals = 8 Signal Filtering Logic: - Perfect signals take priority over regular explosions - Regular explosions are filtered if perfect signal occurred recently - Warning signals are filtered if explosion signals are active - Steam bursts are filtered to minimum 3 bars apart Visual Elements Thermal Pressure Wave: Main oscillator with thermal gradient coloring and glow effects Component Pressures: Individual RSI, WT, MFI, and Stochastic lines (hidden by default) Temperature Background: Heat map style background coloring based on volatility temperature Steam Burst Histograms: Volume spike visualization with directional coloring Thermal Zone References: Critical levels at 20, 30, 50, 70, 80 with neutral zone highlighting Explosion Markers: Diamond shapes for perfect explosions, triangles for regular explosions Warning Signals: Circle markers for approaching explosion conditions Pressure Meter: Visual gauge showing current pressure level with thermal gradient Dashboard: Comprehensive real-time display of all thermal components and status How Components Work Together The integration creates a thermal momentum analysis approach: Layer 1 - Pressure Measurement: Multi-component system reveals directional pressure across four dimensions Layer 2 - Temperature Analysis: Volatility measurement shows market energy and expansion potential Layer 3 - Steam Detection: Volume analysis identifies explosive energy release conditions Layer 4 - Momentum Confirmation: Ensures signals occur at genuine turning points, not random noise Layer 5 - Confluence Scoring: Quantifies setup quality by counting aligned factors Layer 6 - Explosion Detection: Identifies rare moments when all thermal systems align Layer 7 - Signal Filtering: Prevents overlap while maintaining precision timing Example scenario: Pressure reaches extreme oversold (Layer 1) with high temperature (Layer 2), volume steam burst (Layer 3), momentum shift confirmation (Layer 4), confluence score of 5 (Layer 5), triggering perfect bull explosion (Layer 6) with proper signal filtering (Layer 7). This represents maximum thermal alignment for explosive upward move. Input Parameters Pressure Settings: RSI Length: Period for RSI calculation (default: 14) WT Channel Length: WaveTrend channel period (default: 10) WT Average Length: WaveTrend smoothing period (default: 21) MFI Length: Money Flow Index period (default: 14) Stochastic Length: Stochastic RSI period (default: 14) Use Stochastic Pressure: Toggle fourth pressure component Temperature Settings: ATR Length: Average True Range period (default: 14) Temperature Multiplier: Sensitivity adjustment (default: 10.0) Use Bollinger Band Width: Toggle BB width temperature component BB Length: Bollinger Band period (default: 20) BB Multiplier: Bollinger Band deviation (default: 2.0) Volume Settings: Volume MA Length: Volume average period (default: 20) Steam Threshold: Volume spike multiplier (default: 2.0) Use Volume Delta: Toggle directional volume analysis Show Volume Spikes: Toggle volume spike visualization Explosion Settings: Pressure Threshold: Minimum pressure for explosion (default: 80) Temperature Threshold: Minimum temperature for explosion (default: 70) Steam Threshold: Minimum steam for explosion (default: 80) Minimum Confluence Score: Required factors for explosion (default: 3) Show Explosion Warnings: Toggle warning markers How to Use This Indicator Step 1: Assess Thermal Pressure Check the main pressure gauge and current thermal zone classification in the dashboard. Step 2: Monitor Temperature Levels High temperature (>70) indicates market energy building for potential explosive moves. Step 3: Watch for Steam Bursts Volume steam bursts (>80) show explosive energy release with directional bias. Step 4: Check Confluence Score Scores ≥3 indicate multiple thermal factors aligning for explosion potential. Step 5: Wait for Momentum Confirmation Explosions require momentum shifts or acceleration to confirm genuine turning points. Step 6: Identify Explosion Signals Perfect explosions (diamond markers) offer highest probability, regular explosions (triangles) offer good probability. Step 7: Monitor Warning Signals Warning markers indicate approaching explosion conditions - prepare for potential signals. Best Practices Use on 15-minute to 4-hour timeframes for optimal thermal detection Focus on extreme thermal zones (<20 or >80) for highest explosion probability Perfect explosions are rare but offer exceptional risk:reward opportunities Temperature confirmation adds conviction to pressure-based signals Steam direction (bullish/bearish) should align with expected explosion direction Confluence scores ≥4 significantly increase explosion probability Warning signals help prepare for upcoming explosion opportunities Thermal zone transitions often precede significant price movements Indicator Limitations Thermal pressure can remain extreme longer than expected during strong trends Perfect explosions are rare - patience required for highest probability setups Temperature spikes during news events may create false explosion signals Steam bursts don't guarantee immediate price movement - timing varies Confluence scoring is mathematical, not predictive of future performance Component pressures may conflict, requiring interpretation skills Signal filtering may delay signals in rapidly changing market conditions Requires understanding of multi-factor thermal analysis concepts Technical Implementation Built with Pine Script v6 using: Multi-component pressure calculation with optional Stochastic RSI integration Dual-method temperature analysis using ATR and Bollinger Band width Advanced volume steam detection with directional bias measurement Multi-factor confluence scoring system with momentum confirmation Thermal gradient coloring system with glow effects and heat map backgrounds Anti-overlap signal filtering with priority-based signal management Real-time pressure meter visualization with thermal zone classification Comprehensive dashboard with component breakdown and explosion status The code is fully open-source and can be modified to suit individual trading styles and preferences. Originality Statement This indicator is original in its thermal momentum integration approach. While individual components (RSI, WaveTrend, MFI, ATR, volume analysis) are established concepts, this integration is justified because: It synthesizes seven distinct thermal and momentum methodologies into a unified system The multi-component pressure system provides comprehensive momentum analysis beyond single indicators Thermal temperature analysis combines volatility measurements for energy assessment Volume steam detection adds explosive energy context to momentum signals Multi-factor confluence scoring quantifies setup quality across all thermal dimensions Perfect explosion detection identifies rare, high-probability explosive move conditions Each component contributes unique thermal information: pressure measurement reveals directional momentum, temperature analysis shows volatility energy, steam detection indicates volume explosions, confluence scoring quantifies alignment, and momentum confirmation ensures signal quality. The integration's value lies in identifying moments when all thermal systems align simultaneously for explosive market moves. Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Trading involves substantial risk of loss and is not suitable for all investors. Thermal momentum analysis and explosion detection are analytical concepts that do not guarantee future price movement. Past performance and backtested results do not guarantee future results. Market conditions change, and thermal patterns that worked historically may not work in the future. Always use proper risk management, including stop losses and position sizing appropriate for your account size and risk tolerance. Never risk more than you can afford to lose. Consider consulting with a qualified financial advisor before making investment decisions. The author is not responsible for any losses incurred from using this indicator. Users assume full responsibility for all trading decisions made using this tool. -Made with passion by officialjackofalltrades
Indikator Pine Script®
oleh officialjackofalltrades
Smart Fear & Greed Index [MarkitTick]💡 This comprehensive technical tool is designed to quantify market sentiment on an asset-specific basis, translating complex price action into a singular, normalized gauge of "Fear" and "Greed." While traditional Fear & Greed indices rely on macro-economic data (like put/call ratios or junk bond demand) generally applied to the broad S&P 500, this script calculates a localized index for the specific chart you are viewing. It synthesizes Momentum, Volatility, Volume, and Price Positioning into a bounded 0-100 oscillator, aiming to identify psychological extremes where market reversals are statistically more likely to occur. ✨ Originality and Utility ● Asset-Specific Sentiment Analysis Most sentiment tools are external to the chart (e.g., news sentiment or broad market indices). The Smart Fear & Greed Index is unique because it internalizes this logic, creating a bespoke psychological profile for any ticker—whether it is Crypto, Forex, or Stocks. It allows traders to see if *this specific asset* is overheated (Greed) or oversold (Fear) relative to its own recent history. ● The "Buy the Fear, Sell the Greed" Logic The script employs a contrarian color-coding philosophy aligned with the famous investment adage: "Be fearful when others are greedy, and greedy when others are fearful." When the indicator shows Fear (Low values), it colors the zone Green, signaling a potential buying opportunity (discount). When the indicator shows Greed (High values), it colors the zone Red, signaling potential downside risk (premium). ● Integrated Divergence Detection Unlike standard oscillators that leave interpretation entirely to the user, this tool includes an automated divergence engine. It detects discrepancies between the sentiment index and price action, plotting lines and labels to highlight potential exhaustion points before they become obvious on the price chart. 🔬 Methodology and Concepts The calculation is driven by a custom User-Defined Type (UDT) called QuantEngine , which aggregates four distinct technical "pillars" to form the final Composite Index. • Pillar 1: Momentum (RSI) The engine utilizes the Relative Strength Index to measure the velocity and magnitude of directional price movements. High momentum contributes to the "Greed" score, while collapsing momentum contributes to "Fear." • Pillar 2: Volatility (Inverted Normalized ATR) This component interprets volatility through a psychological lens. Low Volatility is interpreted as complacency or "Greed" (steady uptrends often have low vol). High Volatility is interpreted as "Fear" (panic selling and erratic ranges often spike volatility). The script normalizes the Average True Range (ATR) and inverts it so that stability adds to the score, and instability subtracts from it. • Pillar 3: Volume Strength Volume is analyzed relative to its moving average. However, raw volume isn't enough; the engine applies directional logic. High relative volume on an Up-Close adds to the Greed score. High relative volume on a Down-Close subtracts, adding to the Fear score. • Pillar 4: Price Position (Stochastic) This calculates where the current close sits relative to the recent High-Low range. Closing near the highs indicates confidence (Greed), while closing near the lows indicates pessimism (Fear). • The Composite & Smoothing These four metrics are averaged to create a raw composite, which is then smoothed via an Exponential Moving Average (EMA) to filter out noise and produce the final, readable "Smart Fear & Greed" line. 🎨 Visual Guide ● The Oscillator Line This is the primary fluctuating line that moves between 0 and 100. Values > 50 suggest positive sentiment. Values < 50 suggest negative sentiment. ● Color-Coded Zones The plot changes color dynamically to reflect the psychological state: Red (70-100): Extreme Greed. The market may be irrationally exuberant. Orange (60-70): Greed. Strong bullish conviction. Yellow (40-60): Neutral. Indecisive or transitionary market. Light Green (30-40): Fear. Sentiment is turning bearish. Bright Green (0-30): Extreme Fear. Panic selling, often a precursor to a value bounce. ● Background Highlights A semi-transparent Red Background appears when the index breaches 75, warning of a potential "Top." A semi-transparent Green Background appears when the index drops below 25, highlighting a potential "Bottom." ● Divergence Elements Red Lines/Labels ("Bear"): Bearish Divergence. Price makes a Higher High, but the Index makes a Lower High. This suggests momentum is waning despite rising prices. Green Lines/Labels ("Bull"): Bullish Divergence. Price makes a Lower Low, but the Index makes a Higher Low. This suggests selling pressure is drying up. 📖 How to Use • Identifying Reversals Wait for the oscillator to enter "Extreme" zones. Do not trade immediately upon entry; wait for the line to exit the extreme zone to confirm the reversal. For example, if the line hits 80 (Red) and then crosses back down below 70, it signals that Greed is fading. • Trend Continuation In a strong trend, the indicator may hover in the Greed (Orange) or Fear (Light Green) zones for extended periods. In these cases, use the Neutral (Yellow) zone crosses as re-entry signals in the direction of the trend. • Divergence Confirmation Use the automated divergence lines as high-conviction triggers. If the background turns Green (Extreme Fear) AND a Bullish Divergence label appears, it provides a stronger technical case for a long position than the zone alone. ⚙️ Inputs and Settings ● Calculation Settings Global Lookback Period (Default: 21): The core lookback window for RSI, ATR, Volume, and Stochastic calculations. Increasing this makes the index slower and less reactive; decreasing it makes it faster. Smoothing Length (Default: 5): Determines how smooth the final line is. Higher numbers reduce "whipsaws" but add lag. Color Main Chart Candles : Colors the chart bars based on Fear/Greed sentiment. ● Divergence Settings Divergence Lookback (Default: 5): Determines the pivot strength required to register a high or low for divergence checks. Show Divergence Lines/Labels: Toggles to hide visual clutter if you only want to see the oscillator. 🔍 Deconstruction of the Underlying Scientific and Academic Framework ● Normalization Theory The core scientific principle here is Min-Max Normalization. The script takes heterogeneous data types—Price (Dollars/Cents), Volume (Shares/Contracts), and Volatility (Points)—and standardizes them into a unit-less distribution between 0 and 100. This allows for the summation of disparate market forces into a single vector. ● Mean Reversion and Oscillator Bounds The indicator relies on the statistical concept of Mean Reversion. Markets, like elastic bands, can only stretch so far from their average valuation (represented by the 50 line) before snapping back. The "Extreme" zones (Upper and Lower deciles) represent areas of statistical improbability where the likelihood of a continuation decreases and the likelihood of a reversion increases. ● Divergence and Momentum Theory The divergence logic is grounded in the principle that momentum precedes price. Mathematically, price is the integral of velocity. When the derivative (momentum/sentiment) approaches zero or reverses while the function (price) continues, it signals a non-sustainable anomaly in the data series, often resolved by a price correction. ⚠️ Disclaimer All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
Indikator Pine Script®
oleh MarkitTick
2
Nova Capital MACDNova Capital MACD is a momentum oscillator based on the classic MACD calculation, enhanced with a clean 4-state histogram and optional signal labels. Core calculation: MACD Line = Fast MA − Slow MA Signal Line = MA(MACD Line, Signal Length) Histogram = MACD Line − Signal Line Features in this version: 4-state histogram coloring (positive/negative + rising/falling) to visualize momentum changes more clearly. Optional confirmed-bar behavior (signals trigger only on closed bars). Optional zero-line directional filter: Long labels only when MACD is below 0. Short labels only when MACD is above 0. Built-in alert conditions for Long/Short events. How to use: Watch histogram state changes for momentum transitions. A Long label appears on MACD crossing above the Signal line (optionally below 0). A Short label appears on MACD crossing below the Signal line (optionally above 0). Note: This indicator is not a complete trading system. Use risk management and confirm signals with market context.
Indikator Pine Script®
oleh novacapitalvip
VWAP Gravity Oscillator (VGO) (Intraday Only)VWAP Gravity Oscillator (VGO) The VWAP Gravity Oscillator (VGO) is an intraday analytical indicator designed to quantify price displacement from VWAP and the rate of change of that displacement. The indicator models VWAP as a statistical equilibrium level and evaluates: Price deviation from VWAP (Delta) Momentum and acceleration of that deviation via MACD This framework enables assessment of trend persistence versus mean-reversion pressure in intraday price action. Methodology VWAP Delta Measures the signed distance between price and VWAP, representing directional bias relative to equilibrium. MACD on Delta Captures the first- and second-order dynamics of VWAP deviation, highlighting acceleration, deceleration, and potential inflection points. Zero Line Represents price–VWAP equilibrium. Crossings may indicate regime transitions. Interpretation Guidelines Positive Delta Price is trading above VWAP with positive directional bias. Negative Delta Price is trading below VWAP with negative directional bias. Increasing MACD Expansion of VWAP deviation (trend reinforcement). Decreasing or reversing MACD Contraction of VWAP deviation (mean-reversion risk). Intended Applications Intraday trend validation Early detection of trend exhaustion Mean-reversion risk assessment Filtering low-conviction or balanced market conditions Implementation Notes Designed exclusively for intraday timeframes Automatically suppressed on higher-timeframe charts Intended as a contextual analysis tool, not a standalone signal generator Conceptual Summary VGO evaluates whether price is diverging from, stabilising around, or reverting toward VWAP by analysing both displacement and its rate of change.
Indikator Pine Script®
oleh gokul4trading
1
FluxPulse Momentum [JOAT]FluxPulse Momentum - Adaptive Multi-Component Oscillator FluxPulse Momentum is a composite oscillator that blends three distinct momentum components into a single, smoothed signal line. Rather than relying on a single indicator, it synthesizes adaptive RSI, normalized rate of change, and a Kaufman-style efficiency ratio to provide a multi-dimensional view of momentum. What This Indicator Does Combines RSI, Rate of Change (ROC), and Efficiency Ratio into one weighted composite Applies EMA smoothing to reduce noise while preserving responsiveness Displays overbought/oversold zones with optional background highlighting Generates buy/sell signals when the oscillator crosses its signal line in favorable zones Provides a real-time dashboard showing current state, momentum direction, and efficiency Core Components Adaptive RSI (50% weight) — Standard RSI calculation normalized around the 50 level Normalized ROC (30% weight) — Rate of change scaled relative to its recent maximum range Efficiency Ratio (20% weight) — Measures directional movement efficiency, inspired by Kaufman's adaptive concepts The final composite is smoothed twice using EMA to create both a fast line and a signal line. Signal Logic // Buy signal: crossover in lower half buySignal = ta.crossover(qmo, qmoSmooth) and qmo < 50 // Sell signal: crossunder in upper half sellSignal = ta.crossunder(qmo, qmoSmooth) and qmo > 50 Signals are generated only when the oscillator is positioned favorably—buy signals occur below the 50 midline, sell signals occur above it. Dashboard Information The on-chart table displays: Current oscillator value with gradient coloring Momentum state (Overbought, Oversold, Bullish, Bearish, Neutral) Momentum direction and acceleration Efficiency ratio percentage Active signal status Inputs Overview RSI Length — Period for RSI calculation (default: 14) ROC Length — Period for rate of change (default: 10) Smoothing Length — EMA smoothing period (default: 3) Overbought/Oversold Levels — Threshold levels for zone detection Await Bar Confirmation — Wait for bar close before triggering alerts How to Use It Watch for crossovers between the main line and signal line Use overbought/oversold zones to identify potential reversal areas Monitor the histogram for momentum acceleration or deceleration Combine with price action analysis for confirmation Alerts Buy Signal — Bullish crossover in the lower zone Sell Signal — Bearish crossunder in the upper zone Overbought/Oversold Crosses — Level threshold crossings This indicator is provided for educational purposes. It does not constitute financial advice. Always conduct your own analysis before making trading decisions. — Made with passion by officialjackofalltrades
Indikator Pine Script®
oleh officialjackofalltrades
Sinusoidal Cycles OscillatorTitle: Sinusoidal Cycles Oscillator – Multi-Cycle Market Indicator Description: Discover market rhythm with the Sinusoidal Cycles Oscillator, a powerful tool for technical analysis and cyclical trading. Three customizable cycles track short, medium, and long-term market oscillations. Cycle 1 serves as the main reference wave with an optional mirror envelope. Cycles 2 & 3 provide supporting harmonics for deeper insight. Composite wave averages all cycles to reveal overall market phase. Features: Fully adjustable periods and amplitude. Visualize tops, bottoms, and turning points at a glance. Oscillator ranges from -1 to +1 with clear threshold guides. Ideal for traders using cycle analysis, harmonic trading, or market timing. Easy-to-read visual overlay and separate panel option. Use it to: Identify potential price reversals. Compare market cycles across multiple timeframes. Enhance timing and entry/exit decisions.
Indikator Pine Script®
oleh egghen
MTF Signal XpertMTF Signal Xpert – Detailed Description Overview: MTF Signal Xpert is a proprietary, open‑source trading signal indicator that fuses multiple technical analysis methods into one cohesive strategy. Developed after rigorous backtesting and extensive research, this advanced tool is designed to deliver clear BUY and SELL signals by analyzing trend, momentum, and volatility across various timeframes. Its integrated approach not only enhances signal reliability but also incorporates dynamic risk management, helping traders protect their capital while navigating complex market conditions. Detailed Explanation of How It Works: Trend Detection via Moving Averages Dual Moving Averages: MTF Signal Xpert computes two moving averages—a fast MA and a slow MA—with the flexibility to choose from Simple (SMA), Exponential (EMA), or Hull (HMA) methods. This dual-MA system helps identify the prevailing market trend by contrasting short-term momentum with longer-term trends. Crossover Logic: A BUY signal is initiated when the fast MA crosses above the slow MA, coupled with the condition that the current price is above the lower Bollinger Band. This suggests that the market may be emerging from a lower price region. Conversely, a SELL signal is generated when the fast MA crosses below the slow MA and the price is below the upper Bollinger Band, indicating potential bearish pressure. Recent Crossover Confirmation: To ensure that signals reflect current market dynamics, the script tracks the number of bars since the moving average crossover event. Only crossovers that occur within a user-defined “candle confirmation” period are considered, which helps filter out outdated signals and improves overall signal accuracy. Volatility and Price Extremes with Bollinger Bands Calculation of Bands: Bollinger Bands are calculated using a 20‑period simple moving average as the central basis, with the upper and lower bands derived from a standard deviation multiplier. This creates dynamic boundaries that adjust according to recent market volatility. Signal Reinforcement: For BUY signals, the condition that the price is above the lower Bollinger Band suggests an undervalued market condition, while for SELL signals, the price falling below the upper Bollinger Band reinforces the bearish bias. This volatility context adds depth to the moving average crossover signals. Momentum Confirmation Using Multiple Oscillators RSI (Relative Strength Index): The RSI is computed over 14 periods to determine if the market is in an overbought or oversold state. Only readings within an optimal range (defined by user inputs) validate the signal, ensuring that entries are made during balanced conditions. MACD (Moving Average Convergence Divergence): The MACD line is compared with its signal line to assess momentum. A bullish scenario is confirmed when the MACD line is above the signal line, while a bearish scenario is indicated when it is below, thus adding another layer of confirmation. Awesome Oscillator (AO): The AO measures the difference between short-term and long-term simple moving averages of the median price. Positive AO values support BUY signals, while negative values back SELL signals, offering additional momentum insight. ADX (Average Directional Index): The ADX quantifies trend strength. MTF Signal Xpert only considers signals when the ADX value exceeds a specified threshold, ensuring that trades are taken in strongly trending markets. Optional Stochastic Oscillator: An optional stochastic oscillator filter can be enabled to further refine signals. It checks for overbought conditions (supporting SELL signals) or oversold conditions (supporting BUY signals), thus reducing ambiguity. Multi-Timeframe Verification Higher Timeframe Filter: To align short-term signals with broader market trends, the script calculates an EMA on a higher timeframe as specified by the user. This multi-timeframe approach helps ensure that signals on the primary chart are consistent with the overall trend, thereby reducing false signals. Dynamic Risk Management with ATR ATR-Based Calculations: The Average True Range (ATR) is used to measure current market volatility. This value is multiplied by a user-defined factor to dynamically determine stop loss (SL) and take profit (TP) levels, adapting to changing market conditions. Visual SL/TP Markers: The calculated SL and TP levels are plotted on the chart as distinct colored dots, enabling traders to quickly identify recommended exit points. Optional Trailing Stop: An optional trailing stop feature is available, which adjusts the stop loss as the trade moves favorably, helping to lock in profits while protecting against sudden reversals. Risk/Reward Ratio Calculation: MTF Signal Xpert computes a risk/reward ratio based on the dynamic SL and TP levels. This quantitative measure allows traders to assess whether the potential reward justifies the risk associated with a trade. Condition Weighting and Signal Scoring Binary Condition Checks: Each technical condition—ranging from moving average crossovers, Bollinger Band positioning, and RSI range to MACD, AO, ADX, and volume filters—is assigned a binary score (1 if met, 0 if not). Cumulative Scoring: These individual scores are summed to generate cumulative bullish and bearish scores, quantifying the overall strength of the signal and providing traders with an objective measure of its viability. Detailed Signal Explanation: A comprehensive explanation string is generated, outlining which conditions contributed to the current BUY or SELL signal. This explanation is displayed on an on‑chart dashboard, offering transparency and clarity into the signal generation process. On-Chart Visualizations and Debug Information Chart Elements: The indicator plots all key components—moving averages, Bollinger Bands, SL and TP markers—directly on the chart, providing a clear visual framework for understanding market conditions. Combined Dashboard: A dedicated dashboard displays key metrics such as RSI, ADX, and the bullish/bearish scores, alongside a detailed explanation of the current signal. This consolidated view allows traders to quickly grasp the underlying logic. Debug Table (Optional): For advanced users, an optional debug table is available. This table breaks down each individual condition, indicating which criteria were met or not met, thus aiding in further analysis and strategy refinement. Mashup Justification and Originality MTF Signal Xpert is more than just an aggregation of existing indicators—it is an original synthesis designed to address real-world trading complexities. Here’s how its components work together: Integrated Trend, Volatility, and Momentum Analysis: By combining moving averages, Bollinger Bands, and multiple oscillators (RSI, MACD, AO, ADX, and an optional stochastic), the indicator captures diverse market dynamics. Each component reinforces the others, reducing noise and filtering out false signals. Multi-Timeframe Analysis: The inclusion of a higher timeframe filter aligns short-term signals with longer-term trends, enhancing overall reliability and reducing the potential for contradictory signals. Adaptive Risk Management: Dynamic stop loss and take profit levels, determined using ATR, ensure that the risk management strategy adapts to current market conditions. The optional trailing stop further refines this approach, protecting profits as the market evolves. Quantitative Signal Scoring: The condition weighting system provides an objective measure of signal strength, giving traders clear insight into how each technical component contributes to the final decision. How to Use MTF Signal Xpert: Input Customization: Adjust the moving average type and period settings, ATR multipliers, and oscillator thresholds to align with your trading style and the specific market conditions. Enable or disable the optional stochastic oscillator and trailing stop based on your preference. Interpreting the Signals: When a BUY or SELL signal appears, refer to the on‑chart dashboard, which displays key metrics (e.g., RSI, ADX, bullish/bearish scores) along with a detailed breakdown of the conditions that triggered the signal. Review the SL and TP markers on the chart to understand the associated risk/reward setup. Risk Management: Use the dynamically calculated stop loss and take profit levels as guidelines for setting your exit points. Evaluate the provided risk/reward ratio to ensure that the potential reward justifies the risk before entering a trade. Debugging and Verification: Advanced users can enable the debug table to see a condition-by-condition breakdown of the signal generation process, helping refine the strategy and deepen understanding of market dynamics. Disclaimer: MTF Signal Xpert is intended for educational and analytical purposes only. Although it is based on robust technical analysis methods and has undergone extensive backtesting, past performance is not indicative of future results. Traders should employ proper risk management and adjust the settings to suit their financial circumstances and risk tolerance. MTF Signal Xpert represents a comprehensive, original approach to trading signal generation. By blending trend detection, volatility assessment, momentum analysis, multi-timeframe alignment, and adaptive risk management into one integrated system, it provides traders with actionable signals and the transparency needed to understand the logic behind them.
Indikator Pine Script®
oleh EnviAI
Cumulative Volume Delta Divergence [TradingFinder] Periodic EMA🔵 Introduction The Cumulative Volume Delta (CVD) is a powerful tool in technical analysis that is derived from market volume or trading activity. The Cumulative Volume Delta Divergence Detector Indicator helps traders identify Cumulative Volume Delta Divergences (CVD Divergence), which can provide reliable trading signals. These divergences, such as bullish and bearish CVD divergences, act as key indicators of potential trend reversals in financial markets. By analyzing CVD divergences, traders can gain insights into the strength of buying and selling pressure and make more informed predictions about price trends. The CVD indicator is particularly effective for traders who engage in day trading and scalping, as it helps identify price reversal points by analyzing volume and price behavior. Using the CVD indicator in combination with other technical tools such as support and resistance levels and candlestick patterns allows for a more accurate market analysis. 🔵 How to Use Divergences are one of the most important technical analysis signals that indicate the current strength of a price move may not be sustainable. Cumulative Volume Delta Divergence helps traders identify potential trading opportunities that may not be visible on the price chart alone. This type of divergence examines the relationship between buying and selling volume and price, enabling traders to better understand price trends. 🟣 Bullish CVD Divergence A bullish CVD divergence occurs when the price makes a lower low, but the CVD indicator shows a higher low. This indicates increasing buying pressure in the market, even though the price is declining. In other words, despite the price dropping, buyers are gradually gaining strength, which could signal a price reversal and the start of a bullish trend. How to use this signal : In this scenario, traders looking to go long can use this signal as a favorable opportunity to enter the market. After a bullish divergence, the market typically tends to move upward. To reduce risk, traders can wait for further confirmation from the price chart. For example, if the price breaks through the previous high after the divergence or breaks a resistance level, this could be a more reliable signal for entering the market. 🟣 Bearish CVD Divergence A bearish CVD divergence is the opposite of a bullish divergence. In this type of divergence, the price makes a higher high, but the CVD indicator shows a lower high. This indicates decreasing buying pressure and weakening momentum in the current bullish trend. A bearish divergence often serves as a warning of a potential market reversal to the downside. How to use this signal : Traders can use this divergence as an opportunity to exit long positions or enter short positions. When the CVD indicator makes a lower high compared to the price, it signals weakness in buyer strength. If traders receive further confirmation from the price chart, such as a break of key support levels or an increase in selling volume, this can serve as a stronger signal for the beginning of a bearish trend. 🟣 How to Build a Trading Strategy with Cumulative Volume Delta Divergence Using CVD divergence alone may not be sufficient. Traders should combine this tool with other technical analysis techniques and indicators to have more confidence in their decisions. For example, when observing a CVD divergence, traders can also analyze volume, trend lines, or candlestick patterns to get a more accurate market analysis. Additionally, risk management should always be a priority. Using stop-loss orders and properly sizing trades can help traders minimize their losses if they make a mistake. 🔵 Setting Divergence Fractal Period : Determines the period of swings. The minimum and default value is 2. CVD Period : You can set the period of " Periodic " and " EMA " modes. Cumulative Mode : It has three modes "Periodic" and "EMA". In "Periodic" mode, it accumulates the volume periodically and in "EMA" mode, it calculates the moving average of the volume. Market Ultra Data : If you turn on this feature, 26 large brokers will be included in the calculation of the trading volume. The advantage of this capability is to have more reliable volume data. You should be careful to specify the market you are in, FOREX brokers and Crypto brokers are different. 🔵 Conclusion The Cumulative Volume Delta (CVD) indicator is a powerful tool in technical analysis, helping traders better identify price trends and make more accurate market predictions. By identifying CVD divergences, traders can anticipate price reversals and time their market entries and exits accordingly. Bullish and bearish CVD divergences each provide valuable signals that can help traders identify the best entry and exit points in the market. A bullish CVD divergence signals strength in buying that will likely lead to a price increase, while a bearish CVD divergence indicates weakness in the bullish trend and the potential for the beginning of a bearish trend. Overall, combining CVD with other technical analysis tools and employing risk management strategies can help traders make better trading decisions and capitalize on available market opportunities.
Indikator Pine Script®
oleh TFlab
57
KST con HMA---------- ENGLISH DESCRIPTION ---------- The indicator created is called "KST with HMA" and is used to measure the impulse of an asset's price. The code begins by defining four variables representing ROC (Rate of Change) period lengths for calculating the KST (Know Sure Thing) and a variable for the length of the HMA (Hull Moving Average). Next, an HMA function is defined to calculate the Hull Moving Average, a type of weighted moving average that adjusts for price volatility. ROC values are then calculated for the four periods defined above and KST values are calculated as a weighted sum of the ROC values. These values are then normalized with the HMA and the standard deviation of the HMA is calculated. The normalized value is finally plotted with three different color lines: black for values greater than 1, red for values less than -1, and green for values between -1 and 1. Finally, a black dashed line is plotted to represent the zero line. The green line indicates a phase of market uncertainty or lateralization, while the indicator can be used to identify buy points above zero and sell points below zero. ---------- ITALIAN DESCRIPTION ---------- L'indicatore creato è chiamato "KST con HMA" e viene utilizzato per misurare l'impulso del prezzo di un asset. Il codice inizia definendo quattro variabili che rappresentano le lunghezze dei periodi di ROC (Rate of Change) per il calcolo del KST (Know Sure Thing) e una variabile per la lunghezza dell'HMA (Hull Moving Average). Successivamente viene definita una funzione HMA per il calcolo della Hull Moving Average, un tipo di media mobile ponderata che si adatta alla volatilità del prezzo. Vengono poi calcolati i valori ROC per i quattro periodi definiti in precedenza e calcolati i valori KST come somma ponderata dei valori ROC. Questi valori vengono poi normalizzati con l'HMA e viene calcolata la deviazione standard dell'HMA. Il valore normalizzato viene infine plottato con tre diverse linee di colore: nero per valori superiori a 1, rosso per valori inferiori a -1 e verde per valori tra -1 e 1. Infine, viene plottata una linea tratteggiata nera per rappresentare la linea zero. La linea verde indica una fase di incertezza o lateralizzazione del mercato, mentre l'indicatore può essere utilizzato per individuare punti di acquisto sopra lo zero e di vendita al di sotto dello zero.
Indikator Pine Script®
oleh c00l75
TRIX with Momentum----------- ENGLISH -------------- This indicator is called "TRIX with Momentum" and is used to analyze the momentum of an asset's price and predict potential trend reversals. The logic of operation is based on the combination of two indicators: the Triple Exponential Moving Average (TRIX) and the momentum oscillator. The TRIX is calculated using three exponential moving averages (EMA) of the asset's closing price, with a user-defined length (set to 14 by default). The TRIX is then normalized and centered around 0 to facilitate analysis of its relationship with the momentum oscillator. The momentum oscillator is calculated using the EMA of the normalized TRIX with a user-defined length (set to 14 by default). The indicator plots the normalized TRIX and the momentum oscillator on a chart, using different colors to indicate whether the TRIX is above or below 0. Additionally, the color of the y-axis label changes based on the position of the oscillator, while the color of the x-axis label remains gray. The indicator uses a weighted average between the normalized TRIX and the momentum oscillator to create a colored background of the chart, which changes based on the weighted average. If the weighted average is positive, the chart's background is green, otherwise it is red. Finally, a horizontal line is drawn at point 0 to facilitate visual analysis of the chart. ------------ ITALIANO ------------- Questo indicatore è chiamato "TRIX with Momentum" ed è utilizzato per analizzare il momentum del prezzo di un asset e prevedere eventuali inversioni di trend. La logica di funzionamento è basata sulla combinazione di due indicatori: il TRIX (Indicatori di media mobile Tripla Esponenziale) e l'oscillatore momentum. L'indicatore consente all'utente di impostare la lunghezza del TRIX e dell'oscillatore momentum come input personalizzato. Il TRIX viene calcolato utilizzando tre medie mobili esponenziali (EMA) della chiusura dei prezzi dell'asset, mentre l'oscillatore momentum viene calcolato utilizzando l'EMA del TRIX normalizzato. Il TRIX normalizzato viene centrato intorno allo 0 per facilitare l'analisi della sua relazione con l'oscillatore momentum. L'indicatore plotta il TRIX normalizzato e l'oscillatore momentum su un grafico, utilizzando diversi colori per indicare se il TRIX è sopra o sotto lo 0. L'indicatore utilizza una media pesata tra il TRIX normalizzato e l'oscillatore momentum per creare uno sfondo colorato del grafico, che cambia in base alla media pesata. L'utente può impostare il peso da dare al TRIX e all'oscillatore momentum come input personalizzato, e il peso dell'oscillatore momentum verrà automaticamente impostato come complementare al peso del TRIX. Se la media pesata è positiva, lo sfondo del grafico è verde, altrimenti è rosso. Viene tracciata anche una linea orizzontale al punto 0 per facilitare l'analisi visiva del grafico. Infine, il colore dell'etichetta dell'asse y cambia in base alla posizione dell'oscillatore, mentre il colore dell'etichetta dell'asse x rimane sempre grigio.
Indikator Pine Script®
oleh c00l75
Athena Momentum Squeeze - Short, Lean, and Mean This is a very profitable strategy focusing on 15 minute intervals on the Micro Nasdaq Futures contracts. CME_MINI:MNQH2023 As this contract only keeps positions for on average about an hour risk is managed. At a profit factor of 3.382 with a max drawdown of $123 from January 1st to February 15. Looking back to Dec 2019 still maintains a profit factor of 1.3. See backtesting: www.screencast.com 2019 backtesting: www.screencast.com Based on the classic Lazy Bear Oscillator Squeeze with a number of modifications from ADX, MAs and adding fibonacci levels. We like keeping strategies simple yet powerful, no completely where you can't understand your own trades. Our team is always modifying and improving the strategy. Always open to collaborating on improving as there is no perfect strategy. www.screencast.com
Strategi Pine Script®
oleh jrandolph1046
2
TradeIQ - Crazy Scalping Trading Strategy [Kaspricci]This strategy script is a combination of two indicators developed by LuxAlgo: Triangular Momentum Oscillator & Real Time Divergences ( TMO ) Adjustable MA & Alternating Extremities (AMA) The script combines the BUY and SELL signals from the TMO indicator with the BUY and SELL extremities shown by the AMA script and waits for the smoothed candles to grow in size. It places a SHORT or LONG order and sets a stop loss at the latest swing high or low (highes high or lowest low for a defined number of recent bars). A new LONG trade is highlighted by a green background. A new SHORT trade is highlighted by red background. The trades will be closed once a new TMO indicator BUY or SELL signal appears or the color of the AMA extremities is switching from green to red and vice versa. All parameters of TOM and AMA indicators are added as well and work the same way as in the original scripts provided by LuxAlgo. The idea to combine these two indicators has been provided to me by TradIQ in his youtube video. Please leave a comment in case you find a bug. In case you find a combination of parameters with a high win rat and high PnL I would be interested as well.
Strategi Pine Script®
oleh Best-Algo-Trader
10
Dynamic Zone Range on OMA [Loxx]Dynamic Zone Range on OMA is an One More Moving Average oscillator with Dynamic Zones. What is the One More Moving Average (OMA)? The usual story goes something like this : which is the best moving average? Everyone that ever started to do any kind of technical analysis was pulled into this "game". Comparing, testing, looking for new ones, testing ... The idea of this one is simple: it should not be itself, but it should be a kind of a chameleon - it should "imitate" as much other moving averages as it can. So the need for zillion different moving averages would diminish. And it should have some extra, of course: The extras: it has to be smooth it has to be able to "change speed" without length change it has to be able to adapt or not (since it has to "imitate" the non-adaptive as well as the adaptive ones) The steps: Smoothing - compared are the simple moving average (that is the basis and the first step of this indicator - a smoothed simple moving average with as little lag added as it is possible and as close to the original as it is possible) Speed 1 and non-adaptive are the reference for this basic setup. Speed changing - same chart only added one more average with "speeds" 2 and 3 (for comparison purposes only here) Finally - adapting : same chart with SMA compared to one more average with speed 1 but adaptive (so this parameters would make it a "smoothed adaptive simple average") Adapting part is a modified Kaufman adapting way and this part (the adapting part) may be a subject for changes in the future (it is giving satisfactory results, but if or when I find a better way, it will be implemented here) Some comparisons for different speed settings (all the comparisons are without adaptive turned on, and are approximate. Approximation comes from a fact that it is impossible to get exactly the same values from only one way of calculation, and frankly, I even did not try to get those same values). speed 0.5 - T3 (0.618 Tilson) speed 2.5 - T3 (0.618 Fulks/Matulich) speed 1 - SMA , harmonic mean speed 2 - LWMA speed 7 - very similar to Hull and TEMA speed 8 - very similar to LSMA and Linear regression value Parameters: Length - length (period) for averaging Source - price to use for averaging Speed - desired speed (i limited to -1.5 on the lower side but it even does not need that limit - some interesting results with speeds that are less than 0 can be achieved) Adaptive - does it adapt or not Variety Moving Averages w/ Dynamic Zones contains 33 source types and 35+ moving averages with double dynamic zones levels. What are Dynamic Zones? As explained in "Stocks & Commodities V15:7 (306-310): Dynamic Zones by Leo Zamansky, Ph .D., and David Stendahl" Most indicators use a fixed zone for buy and sell signals. Here’ s a concept based on zones that are responsive to past levels of the indicator. One approach to active investing employs the use of oscillators to exploit tradable market trends. This investing style follows a very simple form of logic: Enter the market only when an oscillator has moved far above or below traditional trading lev- els. However, these oscillator- driven systems lack the ability to evolve with the market because they use fixed buy and sell zones. Traders typically use one set of buy and sell zones for a bull market and substantially different zones for a bear market. And therein lies the problem. Once traders begin introducing their market opinions into trading equations, by changing the zones, they negate the system’s mechanical nature. The objective is to have a system automatically define its own buy and sell zones and thereby profitably trade in any market — bull or bear. Dynamic zones offer a solution to the problem of fixed buy and sell zones for any oscillator-driven system. An indicator’s extreme levels can be quantified using statistical methods. These extreme levels are calculated for a certain period and serve as the buy and sell zones for a trading system. The repetition of this statistical process for every value of the indicator creates values that become the dynamic zones. The zones are calculated in such a way that the probability of the indicator value rising above, or falling below, the dynamic zones is equal to a given probability input set by the trader. To better understand dynamic zones, let's first describe them mathematically and then explain their use. The dynamic zones definition: Find V such that: For dynamic zone buy: P{X <= V}=P1 For dynamic zone sell: P{X >= V}=P2 where P1 and P2 are the probabilities set by the trader, X is the value of the indicator for the selected period and V represents the value of the dynamic zone. The probability input P1 and P2 can be adjusted by the trader to encompass as much or as little data as the trader would like. The smaller the probability, the fewer data values above and below the dynamic zones. This translates into a wider range between the buy and sell zones. If a 10% probability is used for P1 and P2, only those data values that make up the top 10% and bottom 10% for an indicator are used in the construction of the zones. Of the values, 80% will fall between the two extreme levels. Because dynamic zone levels are penetrated so infrequently, when this happens, traders know that the market has truly moved into overbought or oversold territory. Calculating the Dynamic Zones The algorithm for the dynamic zones is a series of steps. First, decide the value of the lookback period t. Next, decide the value of the probability Pbuy for buy zone and value of the probability Psell for the sell zone. For i=1, to the last lookback period, build the distribution f(x) of the price during the lookback period i. Then find the value Vi1 such that the probability of the price less than or equal to Vi1 during the lookback period i is equal to Pbuy. Find the value Vi2 such that the probability of the price greater or equal to Vi2 during the lookback period i is equal to Psell. The sequence of Vi1 for all periods gives the buy zone. The sequence of Vi2 for all periods gives the sell zone. In the algorithm description, we have: Build the distribution f(x) of the price during the lookback period i. The distribution here is empirical namely, how many times a given value of x appeared during the lookback period. The problem is to find such x that the probability of a price being greater or equal to x will be equal to a probability selected by the user. Probability is the area under the distribution curve. The task is to find such value of x that the area under the distribution curve to the right of x will be equal to the probability selected by the user. That x is the dynamic zone. Included 4 signal types Bar coloring Alerts Channels fill
Indikator Pine Script®
oleh loxx
2
Bitcoin Risk Long Term indicatorOBJECTIVE: The purpose of this indicator is to synthesize via an average several indicators from a wide choice with in order to simplify the reading of the bitcoin price and that on a long term vision. Useful for those who want to see things simply, typically to make a smart DCA based on risk. I originally used this script as a sandbox to understand and test the usefulness of several indicators, and to develop my PineScript skills, but finally the Risk Indicator output seems relevant so I decided to share it. USAGE: The selected indicators are the ones that I think give the best market bottoms, but the idea here is that anyone can try and use any set of indicators based on those preferences (post in comments if you find a relevant config) Most of the indicator inputs are configurable. And some are not taken into account in the calculation of the Risk indicator because I consider them not relevant, this script is also a test more than a final version. NOTES : If you have any idea of adding an indicator, modification, criticism, bug found: share them, it is appreciated! In the future I will create another more versatile Risk indicator that will not be focused on bitcoin in weekly. (this indicator is still usable on other assets and timeframe) THANKS: to Benjamin Cowen for inspiring me with his Bitcoin Risk metric to Lazybear for his Wavetrend Indicator and all the scripts he shares to Mabonyi for his Bitcoin Logarithmic Growth Curves & Zones script to VuManChu for his VMC Cypher B Divergence to the Trading view team for developing TV and PineScript And to all the community for all the published codes that allowed me to progress and create this script ---- FR ---- OBJECTIF : L'objectif de cet indicateur est de synthétiser via une moyenne plusieurs indicateurs parmi un large choix avec afin de simplifier la lecture du cours de bitcoin et cela sur une vision longue terme. Utile pour ceux qui veulent voir les choses simplement, typiquement faire un DCA intelligent en fonction du risque. À la base j'ai utilisé ce script comme un bac à sable pour comprendre puis tester l'utilité de plusieurs indicateurs, et développer mes compétences PineScript, mais finalement l'output Risk Indicateur me semble pertinent donc autant le partager. UTILISATION : Les indicateurs sélectionnés sont ceux qui permettent selon moi d'avoir les meilleurs point bas de marché, mais l'idée ici est que chacun puisse essayer et utiliser n'importe quel ensemble d'indicateur en fonction de ces préférences (poster en commentaire si vous trouvez une configuration pertinente) La plupart des inputs indicateurs sont paramétrables. Et certains ne sont pas pris en compte dans le calcul du Risk indicateur car je les estime non pertinent, ce script est aussi un essai plus qu'une version finale. NOTES : Si vous avez la moindre idée d'ajout d'indicateur, modification, critique, bug trouvé : partagez-les, c'est apprécié ! à l'avenir je créerais un autre Risk indicator plus polyvalent qui ne sera pas focalisé sur bitcoin en weekly. (cet indicateur est tout de même utilisable sur d'autre actif et timeframe) REMERCIEMENT : à Benjamin Cowen pour m'avoir inspiré avec son Bitcoin Risk metric à Lazybear pour son Wavetrend Indicator et globalement tout les scripts qu'il partage à Mabonyi pour son script Bitcoin Logarithmic Growth Curves & Zones à VuManChu pour son VMC Cypher B Divergence à l'équipe Trading view pour avoir développé TV et PineScript Et à toute la communauté pour tous les codes publiés qui m'ont permis de progresser et de créer ce script
Indikator Pine Script®
oleh Julien-PH
6