8 SMA Bands (Points)The "8 SMA Bands (Points)" indicator creates a set of eight Simple Moving Average (SMA) bands with adjustable offsets, overlaid on a price chart.
Here’s a breakdown:
Purpose: It tracks price trends using multiple SMAs of varying lengths (default 25, 50, 100, 200, 400, 800, 1600 periods) and adds upper and lower bands around each SMA based on point offsets, helping identify potential support, resistance, and trend strength.
Key Components:
SMAs: Eight SMAs are calculated using closing prices with lengths ranging from 25 to 1600 periods. Each SMA is plotted with a distinct color and line thickness (e.g., MA 1 is blue, MA 8 is white with thicker lines).
Bands: For each SMA, upper and lower bands are created by adding or subtracting a point-based offset (suggestions are to use default Murray Math based numbers e.g., 0.305176 for MA 1, 39.062528 for MA 8) multiplied by a global multiplier (default 1.0). These offsets define the band width and are customizable.
Customization: Users can adjust SMA lengths, offset points, colors, and the global multiplier via input settings grouped by each MA.
Visuals: SMAs are plotted as solid lines with increasing thickness for longer periods (e.g., MA 6–8 use thicker lines or circles).
Bands are plotted as semi-transparent lines matching the SMA color, with longer-term bands (MA 6–7) using a different style for emphasis.
Usage: The indicator helps traders visualize trend direction (upward if price is above most SMAs, downward if below) and potential reversal zones where price interacts with band boundaries.
The flattening or crossing of bands can signal momentum shifts. The coming together of multiple envelope tops/bottoms can signal reversal zones of various degrees based on how many envelopes come together. More envelopes converging mean a more significant top or bottom.
This indicator is particularly useful for identifying multi-timeframe trends and volatility zones on assets like Gold Futures, with flexibility to fine-tune based on market conditions.
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Balance of Risks (with Strength & Scale)This helps outline higher time frame tilt, to help assess probabilities
SuperTrend Optimizer Remastered[CHE] SuperTrend Optimizer Remastered — Grid-ranked SuperTrend with additive or multiplicative scoring
Summary
This indicator evaluates a fixed grid of one hundred and two SuperTrend parameter pairs and ranks them by a simple flip-to-flip return model. It auto-selects the currently best-scoring combination and renders its SuperTrend in real time, with optional gradient coloring for faster visual parsing. The original concept is by KioseffTrading Thanks a lot for it.
For years I wanted to shorten the roughly two thousand three hundred seventy-one lines; I have now reduced the core to about three hundred eighty lines without triggering script errors. The simplification is generalizable to other indicators. A multiplicative return mode was added alongside the existing additive aggregation, enabling different rankings and often more realistic compounding behavior.
Motivation: Why this design?
SuperTrend is sensitive to its factor and period. Picking a single pair statically can underperform across regimes. This design sweeps a compact parameter grid around user-defined lower bounds, measures flip-to-flip outcomes, and promotes the combination with the strongest cumulative return. The approach keeps the visual footprint familiar while removing manual trial-and-error. The multiplicative mode captures compounding effects; the additive mode remains available for linear aggregation.
Originally (by KioseffTrading)
Very long script (~2,371 lines), monolithic structure.
SuperTrend optimization with additive (cumulative percentage-sum) scoring only.
Heavier use of repetitive code; limited modularity and fewer UI conveniences.
No explicit multiplicative compounding option; rankings did not reflect sequence-sensitive equity growth.
Now (remastered by CHE)
Compact core (~380 lines) with the same functional intent, no compile errors.
Adds multiplicative (compounding) scoring alongside additive, changing rankings to reflect real equity paths and penalize drawdown sequences.
Fixed 34×3 grid sweep, live ranking, gradient-based bar/wick/line visuals, top-table display, and an optional override plot.
Cleaner arrays/state handling, last-bar table updates, and reusable simplification pattern that can be applied to other indicators.
What’s different vs. standard approaches?
Baseline: A single SuperTrend with hand-picked inputs.
Architecture differences:
Fixed grid of thirty-four factor offsets across three ATR offsets.
Per-combination flip-to-flip backtest with additive or multiplicative aggregation.
Live ranking with optional “Best” or “Worst” table output.
Gradient bar, wick, and line coloring driven by consecutive trend counts.
Optional override plot to force a specific SuperTrend independent of ranking.
Practical effect: Charts show the currently best-scoring SuperTrend, not a static choice, plus an on-chart table of top performers for transparency.
How it works (technical)
For each parameter pair, the script computes SuperTrend value and direction. It monitors direction transitions and treats a change from up to down as a long entry and the reverse as an exit, measuring the move between entry and exit using close prices. Results are aggregated per pair either by summing percentage changes or by compounding return factors and then converting to percent for comparison. On the last bar, open trades are included as unrealized contributions to ranking. The best combination’s line is plotted, with separate styling for up and down regimes. Consecutive regime counts are normalized within a rolling window and mapped to gradients for bars, wicks, and lines. A two-column table reports the best or worst performers, with an optional row describing the parameter sweep.
Parameter Guide
Factor (Lower Bound) — Starting SuperTrend factor; the grid adds offsets between zero and three point three. Default three point zero. Higher raises distance to price and reduces flips.
ATR Period (Lower Bound) — Starting ATR length; the grid adds zero, one, and two. Default ten. Longer reduces noise at the cost of responsiveness.
Best vs Worst — Ranks by top or bottom cumulative return. Default Best. Use Worst for stress tests.
Calculation Mode — Additive sums percents; Multiplicative compounds returns. Multiplicative is closer to equity growth and can change the leaderboard.
Show in Table — “Top Three” or “All”. Fewer rows keep charts clean.
Show “Parameters Tested” Label — Displays the effective sweep ranges for auditability.
Plot Override SuperTrend — If enabled, the override factor and ATR are plotted instead of the ranked winner.
Override Factor / ATR Period — Values used when override is on.
Light Mode (for Table) — Adjusts table colors for bright charts.
Gradient/Coloring controls — Toggles for gradient bars and wick coloring, window length for normalization, gamma for contrast, and transparency settings. Use these to emphasize or tone down visual intensity.
Table Position and Text Size — Places the table and sets typography.
Reading & Interpretation
The auto SuperTrend plots one line for up regimes and one for down regimes. Color intensity reflects consecutive trend persistence within the chosen window. A small square at the bottom encodes the same gradient as a compact status channel. Optional wick coloring uses the same gradient for maximum contrast. The performance table lists parameter pairs and their cumulative return under the chosen aggregation; positive values are tinted with the up color, negative with the down color. “Long” labels mark flips that open a long in the simplified model.
Practical Workflows & Combinations
Trend following: Use the auto line as your primary bias. Enter on flips aligned with structure such as higher highs and higher lows. Filter with higher-timeframe trend or volatility contraction.
Exits/Stops: Consider conservative exits when color intensity fades or when the opposite line is approached. Aggressive traders can trail near the plotted line.
Override mode: When you want stability across instruments, enable override and standardize factor and ATR; keep the table visible for sanity checks.
Multi-asset/Multi-TF: Defaults travel well on liquid instruments and intraday to daily timeframes. Heavier assets may prefer larger lower bounds or multiplicative mode.
Behavior, Constraints & Performance
Repaint/confirmation: Signals are based on SuperTrend direction; confirmation is best assessed on closed bars to avoid mid-bar oscillation. No higher-timeframe requests are used.
Resources: One hundred and two SuperTrend evaluations per bar, arrays for state, and a last-bar table render. This is efficient for the grid size but avoid stacking many instances.
Known limits: The flip model ignores costs, slippage, and short exposure. Rapid whipsaws can degrade both aggregation modes. Gradients are cosmetic and do not change logic.
Sensible Defaults & Quick Tuning
Start with the provided lower bounds and “Top Three” table.
Too many flips → raise the lower bound factor or period.
Too sluggish → lower the bounds or switch to additive mode.
Rankings feel unstable → prefer multiplicative mode and extend the normalization window.
Visuals too strong → increase gradient transparency or disable wick coloring.
What this indicator is—and isn’t
This is a parameter-sweep and visualization layer for SuperTrend selection. It is not a complete trading system, not predictive, and does not include position sizing, transaction costs, or risk management. Combine with market structure, higher-timeframe context, and explicit risk controls.
Attribution and refactor note: The original work is by KioseffTrading. The script has been refactored from approximately two thousand three hundred seventy-one lines to about three hundred eighty core lines, retaining behavior without compiler errors. The general simplification pattern is reusable for other indicators.
Metadata
Name/Tag: SuperTrend Optimizer Remastered
Pine version: v6
Overlay or separate pane: true (overlay)
Core idea/principle: Grid-based SuperTrend selection by cumulative flip returns with additive or multiplicative aggregation.
Primary outputs/signals: Auto-selected SuperTrend up and down lines, optional override lines, gradient bar and wick colors, “Long” labels, performance table.
Inputs with defaults: See Parameter Guide above.
Metrics/functions used: SuperTrend, ATR, arrays, barstate checks, windowed normalization, gamma-based contrast adjustment, table API, gradient utilities.
Special techniques: Fixed grid sweep, compounding vs linear aggregation, last-bar UI updates, gradient encoding of persistence.
Performance/constraints: One hundred and two SuperTrend calls, arrays of length one hundred and two, label budget, last-bar table updates, no higher-timeframe requests.
Recommended use-cases/workflows: Trend bias selection, quick parameter audits, override standardization across assets.
Compatibility/assets/timeframes: Standard OHLC charts across intraday to daily; liquid instruments recommended.
Limitations/risks: Costs and slippage omitted; mid-bar instability possible; not suitable for synthetic chart types.
Debug/diagnostics: Ranking table, optional tested-range label; internal counters for consecutive trends.
Disclaimer
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts.
Best regards and happy trading
Chervolino
Total Points Moved by exp3rtsThis lightweight utility tracks the total intraday range of price movement, giving you real-time insight into market activity.
It calculates:
🟩 Bullish Points – Total range from bullish candles (close > open)
🟥 Bearish Points – Total range from bearish candles (close < open)
🔁 Total Points Moved (TPM) – Sum of all high–low ranges for the day
Values are pulled from the 1-second chart for high precision and displayed in a compact tag in the top-right corner.
Wolfhis code is a Range Filter with entry signals.
How it works:
It calculates the average candle range (the difference between the price and its previous value) using EMA.
Based on this range, it builds a filter — a “smoothed line” (central level) along with upper and lower bands.
If the price moves above the filter → uptrend (green zone). If it moves below → downtrend (red zone).
Trade conditions:
longCondition (buy): price is above the filter and the filter has turned upward.
shortCondition (sell): price is below the filter and the filter has turned downward.
On the chart it displays:
the filter (line),
upper/lower bands,
colored candles (if enabled),
BUY/SELL labels and alerts.
In simple terms: it’s an indicator that filters out market noise and shows when the price changes trend direction, giving entry signals.
MTF EMA200 Dashboard (No Trend Column)Show ema200 position on multiple timeframe, so that in run time we can see price strength and weekness
TPFX - Unified Strategy v8.1 (COT + Valuation + S/D + Seasonal)
TPFX - Unified Strategy v8.1: A 5-in-1 Confluence Model
The TPFX Unified Strategy is a comprehensive trading model that integrates five distinct market analysis modules into a single indicator. Its primary function is to generate high-confluence entry and exit signals by requiring validation across multiple layers of market analysis. This approach aims to minimize noise and focus trading activity on moments of strong directional agreement.
Core Analytical Modules:
1. COT Index (Commitment of Traders): Quantifies the relative extreme positioning of major market participants (Commercials, Large Speculators) over a user-defined lookback period to identify overextended sentiment.
2. COT Momentum: Utilizes Commercial net positioning to detect momentum shifts, based on either a new high/low logic or a Moving Average crossover.
3. Valuation Trigger: Compares the relative performance of the current symbol against a reference asset (e.g., DXY) to determine periods of comparative overvaluation or undervaluation.
4. Supply and Demand (S/D) Zones: Automatically identifies and plots institutional S/D zones based on specific candle patterns. These zones provide precise entry, stop-loss, and dynamic take-profit targets upon activation and retest.
5. Seasonal Filter: Applies a calendar-based constraint to limit trade entry to historically favorable or unfavorable periods for the specific asset.
Key Strategy Features:
* Modular Control: All five modules can be independently enabled or disabled via input settings, allowing the user to customize the required confluence level for signal generation.
* Flexible Exit Management: The strategy supports four primary exit methodologies:
* Fixed TP/SL: Standard point or percentage-based risk management.
* Dynamic (S/D Zones): Uses the S/D zone boundaries for stop-loss and either a fixed R:R ratio or the nearest opposite zone for take-profit.
* Opposite Signal: Closes a position when a full, confirmed signal in the opposite direction is generated.
* Mean Reversion: Closes the position when the COT Index or Valuation Line reverts to a defined mean level.
* Risk Parameters: Includes configurable order size, trade direction filtering (Long, Short, Both), and adjustable parameters for S/D zone detection logic.
v8.1 Update: This version features a syntax correction within the Supply/Demand Zones calculation block to ensure reliable zone detection and trigger logic.
This tool is designed for systematic traders seeking to align their decisions with fundamental flows and order book imbalances.
(Note: Full functionality relies on access to the Commitment of Traders data feed, which may require a subscription.)
Enhanced Std Dev Oscillator (Z-Score)Enhanced Std Dev Oscillator (Z-Score)
Overview
The Enhanced Std Dev Oscillator (ESDO) is a refined Z-Score indicator that normalizes price deviations from a moving mean using standard deviation, smoothed for clarity and equipped with divergence detection. This oscillator shines in identifying extreme overbought/oversold conditions and potential reversals, making it ideal for mean-reversion strategies in stocks, forex, or crypto. By highlighting when prices stray too far from the norm, it helps traders avoid chasing trends and focus on high-probability pullbacks.
Key Features
Customisable Mean & Deviation: Choose SMA or EMA for the mean (default: SMA, length 14); opt for Population or Sample standard deviation for precise statistical accuracy.
Smoothing for Clarity: Apply a simple moving average (default: 3) to the raw Z-Score, reducing noise without lagging signals excessively.
Zone Highlighting: Background colours flag extreme zones—red tint above +2 (overbought), green below -2 (oversold)—for quick visual scans.
Divergence Alerts: Automatically detects bullish (price lows lower, Z-Score higher) and bearish (price highs higher, Z-Score lower) divergences using pivot points (default length: 5), with labeled shapes for easy spotting.
Built-in Alerts: Notifications for Z-Score crossovers into OB/OS zones and divergence events to keep you informed without constant monitoring.
How It Works
Core Calculation: Computes the mean (SMA/EMA) over the specified length, then standard deviation (Population or adjusted Sample formula for N>1). Z-Score = (Source - Mean) / Std Dev, handling edge cases like zero deviation.
Smoothing: Averages the Z-Score with an SMA to create a cleaner plot oscillating around zero.
Levels & Zones: Plots horizontal lines at ±1 (orange dotted) and ±2 (red dashed) for reference; backgrounds activate in extreme zones.
Divergence Logic: Scans for pivot highs/lows in price and Z-Score; flags divergences when price extremes diverge from oscillator extremes (looking back 2 pivots for confirmation).
Visualisation: Blue line for the smoothed Z-Score; green/red labels for bull/bear divergences.
Usage Tips
Buy Signal: Z-Score crosses below -2 (oversold) or bullish divergence forms—pair with volume spike for confirmation.
Sell Signal: Z-Score crosses above +2 (overbought) or bearish divergence—watch for resistance alignment.
Customisation: Use EMA mean for trendier assets; enable Sample std dev for smaller datasets. Increase pivot length (7-10) in volatile markets to filter false signals.
Timeframes: Excels on daily/4H for swing trades; test smoothing on lower frames to avoid over-smoothing. Always combine with trend filters like a 200-period MA.
This open-source script is licensed under Mozilla Public License 2.0. Backtest thoroughly—past performance isn't indicative of future results. Trade with discipline! 📈
© HighlanderOne
Advanced Directional Stoch RSIAdvanced Directional Stochastic RSI
Overview
The Advanced Directional Stochastic RSI (Adv Stoch RSI Dir) is a powerful oscillator that combines the classic Stochastic RSI with John Ehlers' SuperSmoother filter for ultra-smooth signals and reduced noise. Unlike traditional Stoch RSI, this indicator incorporates directional coloring based on price action relative to a smoothed trend line, helping traders quickly spot bullish or bearish momentum. It's designed for swing traders and scalpers looking for clearer overbought/oversold conditions in volatile markets.
Key Features
Directional Coloring: %K line turns green when price is above the trend MA (bullish) and red when below (bearish), providing instant visual bias.
Multi-Pass SuperSmoothing: Apply Ehlers' SuperSmoother filter up to 5 times for customizable noise reduction—dial in passes (default: 2) to balance responsiveness and smoothness.
Trend-Aware Baseline: Uses a cascaded smoothed moving average (default length: 20) to gauge overall direction, making the oscillator more context-aware.
Classic Stoch RSI Core: Built on RSI (default: 14) and Stochastic (default: 14), with SMA smoothing for %K (3) and %D (3).
Visual Aids: Includes overbought (80), oversold (20), and midline (50) levels, plus a subtle blue fill between OB/OS zones for easy reference.
How It Works
Source Smoothing: The input source (default: close) is passed through the SuperSmoother filter multiple times to create a trend MA.
Stoch RSI Calculation: Computes RSI on the source, then applies Stochastic to the RSI values, followed by SMA smoothing for base %K and %D.
Advanced Smoothing: Extra SuperSmoother layers are applied to %K and %D based on your chosen passes, minimizing whipsaws.
Directional Logic: Compares current close to the trend MA to color %K dynamically.
Plotting: %K (thick line, colored) and %D (thin orange) oscillate between 0-100, highlighting crossovers and divergences.
Usage Tips
Buy Signal: Green %K crosses above %D below 50, or bounces off oversold (20) in uptrends.
Sell Signal: Red %K crosses below %D above 50, or rejects overbought (80) in downtrends.
Customization: Increase smoothing passes (3-5) for choppy markets; reduce for faster signals. Pair with volume or support/resistance for confirmation.
Timeframes: Best on 1H-4H charts for stocks/crypto; adjust lengths for forex.
This open-source script is licensed under Mozilla Public License 2.0. Backtest thoroughly—past performance isn't indicative of future results. Enjoy trading smarter with less noise! 🚀
© HighlanderOne
Stage 2 BasesStage 2 Bases
What is a Stage 2 Base?
Stage 2 = Advancing Phase in Stock price cycle.
Stocks in Stage 2 are in uptrend (50 > 150 > 200-day moving averages).
A pause (consolidation) in an ongoing uptrend.
Price moves sideways for weeks to months after an advance.
Builds energy for the next leg up and allows accumulation.
Strong prior uptrend before the base.
Base length typically 4+ weeks.
Base depth generally 10–40% pullback.
Volume contracts during consolidation.
Breakout occurs above prior highs on strong volume.
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Why They Matter?
Institutions accumulate shares during the base.
Resets overbought conditions without breaking the trend.
Valid breakout often leads to next strong rally.
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How to read this indicator?
Complete Stage 2 bases in Daily Timeframe
Complete Stage 2 bases in Weekly Timeframe
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Key Characteristics
Works on Daily and Weekly Timeframes
Past Stage 2 Bases are marked as well
Base Counts, Depth, Consolidation Range, Move from one base to another and No of days/weeks move are marked
Base 1 are marked when a stock is coming out of Stage 1 (After Golden cross 50SMA > 200 SMA)
Base count is increased when a move from base is more than 20% (Can be modified in Indicator settings)
Base resets to 1 when the base undercuts the previous base
Base markings are stopped when the 200 SMA > 50 SMA
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Indicator Settings
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Limitations
Base markings are stopped when the 200 SMA > 50 SMA but if a stock doesn't go down beyond 40% and the Price action is good within the base then its good to keep the stock in watchlist. This scenario is not handled.
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Disclaimer
This indicator is created purely for educational and informational purposes. It is not a buy or sell recommendation , nor should it be considered financial advice. Trading and investing in the stock market involves risk, and you should do your own research or consult with a qualified financial advisor before making any investment decisions. The creator of this indicator is not responsible for any losses incurred by using this tool.
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Daily Midnight Lines# Daily Midnight Lines
A simple and efficient TradingView indicator that automatically draws vertical lines at the start of each new day.
* *
## Features
✅ **Precise Timing**: Draws lines at exactly 00:00 or on the first bar of the new day
✅ **Calendar Days**: Uses calendar days, not trading sessions
✅ **Customizable Design**: Green color with transparency for comfortable viewing
✅ **High Performance**: Optimized code without unnecessary calculations
✅ **Universal**: Works on all timeframes and instruments
## Settings
- **Line Color**: Green with 30% transparency (customizable)
- **Line Width**: 1 pixel (1 to 3)
- **Mode**: Exactly at 00:00 or first bar of new day
## Applications
- Separating trading days on the chart
- Analyzing price behavior at the start of the day
- Planning trading strategies
- Statistical analysis by days
## Compatibility
- Pine Script v6
- All timeframes (1m - 1M)
- All instruments (stocks, forex, crypto, futures)
- All markets (24/7, daily, night sessions)
Perfect for day traders, scalpers, and analysts who want better chart orientation and intraday pattern analysis.
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## Ежедневные Полночные Линии
Простой и эффективный индикатор TradingView, который автоматически рисует вертикальные линии в начале каждого нового дня.
## Особенности
✅ **Точное время**: Рисует линии в 00:00 или на первом баре нового дня
✅ **Календарные дни**: Использует календарные дни, а не торговые сессии
✅ **Настраиваемый дизайн**: Зеленый цвет с прозрачностью для комфортного просмотра
✅ **Высокая производительность**: Оптимизированный код без лишних вычислений
✅ **Универсальность**: Работает на всех таймфреймах и инструментах
## Настройки
- **Цвет линий**: Зеленый с прозрачностью 30% (настраивается)
- **Толщина линий**: 1 пиксель (от 1 до 3)
- **Режим**: Точно в 00:00 или первый бар нового дня
## Применение
- Разделение торговых дней на графике
- Анализ поведения цены в начале дня
- Планирование торговых стратегий
- Статистический анализ по дням
## Совместимость
- Pine Script v6
- Все таймфреймы (1м - 1М)
- Все инструменты (акции, форекс, крипто, фьючерсы)
- Все рынки (24/7, дневные, ночные сессии)
Идеально подходит для дневных трейдеров, скальперов и аналитиков, которые хотят лучше ориентироваться на графике и анализировать внутридневные паттерны.
**Pine Script v6** | **Updated: October 2024** | **Обновлено: Октябрь 2024**
Monday Range LinesMarks high and lows of the Monday for the full week. Amount of weeks and color can be adjusted.
高频策略优化版-空头Open Condition Reversal: Change the condition of the TEMA fast line above the slow line to the condition of the fast line below the slow line RSI condition from " buy above the threshold " to " short below the threshold ", and adjust the default threshold from 30 to 70 (more suitable for shorting overbought area) moving average direction judgment from up to down stop-loss direction adjustment: Short stop-loss Settings above the entry price (entry price * (1 + i _ sl) ) Short stop-loss set below the entry price (entry price * (1-tp) Tracking stop-loss level adjusted to below the entry price MACD logic adjustment: Preferred use of the bearish pattern as a short signal bullish pattern for closing risk management: Maintained a dynamic stop-loss mechanism, adjusted to protect the market from the bottom of the visual stop-loss strategy: The visual marking of the ACD energy column is convenient for monitoring signals to be fully tested before use, especially for adjusting RSI thresholds and stop-loss parameters to suit the characteristics of specific trading varieties.
VX1! vs VX2! ComparatorCompare VX1 and VX2
Sofern VX1 größer als VX2 wird, wechselt der Ausgabewert auf 1
Kootch Moon Phase Strategy🌙 Moon Phases Equity Strategy
This strategy explores the relationship between lunar cycles and equity price action.
It is based on a simple idea: markets may respond differently around New Moons and Full Moons.
🛠 How it works
• New Moon → Long Entry
The strategy enters a long position at the first bar after a New Moon event.
• Full Moon → Exit
The strategy closes the long position at the first bar after the following Full Moon.
• Optional Filters
• 200-day Moving Average (on by default): only take longs in bullish regimes.
• ATR-based Stops & Targets: risk management can be added with configurable multiples of ATR.
• Minimum Gap: ensures a cooldown period between trades to avoid clustering.
• Position Sizing: by default, trades risk a configurable % of equity (set to 35%).
📊 Notes
• This script is designed for equities (stocks, ETFs).
• It is a long-only system by default. If you enable “Always Flip,” the script will alternate long/short each lunar phase, but that is more experimental.
• Results can vary widely depending on the underlying asset. Trending stocks (e.g., AMZN, AAPL, SPY) tend to perform better with the long-only mode.
• Risk/Reward tracking in R-multiples is included for more consistent performance evaluation.
⚠️ Disclaimer
This strategy is for educational and research purposes only. It does not guarantee profitability and should not be used as financial advice. Past performance does not indicate future results. Always backtest on your preferred instruments and use sound risk management.
SANGAM ENTRYThis setup is highly effective in helping traders catch entries before a major move begins. When all the LINES converge and merge together, it signals an opportunity to take buy or sell entries with low risk and high reward. It serves as one of the best confirmations for both trend continuation and breakout trades. Many traders can benefit from this approach, as it is absolutely simple, practical, and easy to manage when planning their entries.
OHLC Session ProjectorOHLC Session Projector
Clean, session-aware OHLC levels — projected to a right-side rail for instant context.
Define up to four intraday sessions (chart timezone). While a session is live, the indicator draws a right-offset rail with O/H/L/C ticks and tiny labels, keeping price candles uncluttered. When the session closes, values freeze and the entire block (rail + ticks + labels, and optionally the box) is projected to the right by a user-set distance for crystal-clear levels.
Why traders use it
Fast read of intraday structure. See each session’s opening print, the true extremes, and settlement at a glance.
Clarity during the session. Live rail shifts to the right so bars stay clean.
Consistent post-session levels. Projected rails mark where reactions tend to happen next session.
Key features
Sessions: Up to 4 custom time ranges (uses chart timezone).
Right-rail projector:
Vertical rail spanning session H↔L
Ticks: O/C (solid), H/L (dashed)
Labels: O/H/L/C with optional price, offset to the right
Live Clean Mode: Shift the live rail by N bars to the right (configurable).
Session Box (optional): With separate live vs final styling (fade while live, solid when closed).
Projection: After session close, freeze values and project rail + ticks + labels + box to the right by extendBars.
Styling controls: Colors, widths, tick lengths, label offset.
No repainting of closed values: H/L/O/C are finalized at session end. (During the session, H/L/C update in real time—as expected.)
How it works
While in session, the script tracks O/H/L/C, draws a right-offset rail and ticks, and updates labels live.
On session close, values are frozen and the whole rail block is repositioned to the projected location.
Accumulation → Manipulation → Distribution (AMD
The graphic shows a common intraday sequence across sessions:
Accumulation blue : price ranges and builds liquidity.
Manipulation red : a quick sweep/false break as sessions hand off.
Distribution green : the real directional move that follows.
How the OHLC Session Projector helps
Projects each session’s Open/High/Low/Close to a clean right-side rail, so you can see when manipulation sweeps prior O/H/L and where distribution is likely to run.
Freezes levels at session close and carries them forward as targets (retests of Open, runs to High/Low).
“Live Clean” keeps rails offset during the session, letting you track AMD without clutter while price is developing.
Credits & disclaimer
Built for educational purposes. Not financial advice. Trade responsibly.
FibPulse144 [CHE] FibPulse144 — ADX-gated 13/21 crossover with 144-trend regime and closed-bar labels
Summary
FibPulse144 combines a fast moving-average crossover with a 144-period trend regime and an ADX strength gate. Signals are confirmed on closed bars only and drawn as labels on the price chart, while an ADX line in a separate pane provides context. Color gradients are derived from normalized ADX, so visual intensity reflects trend strength without changing the underlying logic. The approach reduces false flips during weak conditions and keeps entries aligned with the dominant trend.
Motivation: Why this design?
Traditional crossover signals can flip repeatedly during sideways phases and often trigger against the higher-time regime. By requiring alignment with a slower trend proxy and by gating entries through a rising ADX condition, FibPulse144 favors structurally cleaner transitions. Gradient coloring communicates strength visually, helping users temper aggressiveness without additional indicators.
What’s different vs. standard approaches?
Baseline: Classic dual-MA crossover with unconditional signals.
Architecture differences:
Two-bar regime confirmation against a 144-period trend average.
Pending-signal logic that waits for regime and optional ADX approval.
ADX strength gate using the prior reading relative to a user threshold and earlier value.
Gradient colors scaled by an ADX window with gamma controls.
Price-chart labels enforced via overlay on an otherwise pane-based indicator.
Practical effect: Fewer signals during weak or choppy conditions, labels that appear only after a bar closes, and color intensity that mirrors trend quality.
How it works (technical)
The script computes fast and slow moving averages using the selected method and lengths. A separate 144-length average defines the regime using a two-bar confirmation above or below it. Crossovers are observed on the previous bar to avoid intrabar ambiguity; once a prior crossover is detected, it is stored as pending. A pending long requires regime alignment and, if enabled, an ADX condition based on the previous reading being above the threshold and greater than an earlier reading. The state machine holds neutral, long, or short until an exit condition or ADX reset is met. ADX is normalized within a user window, scaled with gamma, and mapped to up and down color palettes to render gradients. Labels on the price panel are forced to overlay, while the ADX line and threshold guide remain in a separate pane.
Parameter Guide
Source — Input data for all calculations. Default: close. Tip: keep consistent with your chart.
MA Type — EMA or SMA. Default: EMA. EMA reacts faster; SMA is smoother.
Fast / Slow — Fast and slow lengths for crossover. Defaults: 13 and 21. Shorter reacts earlier; longer reduces noise.
Trend — Regime average length. Default: 144. Larger values stabilize regime; smaller values increase sensitivity.
Use 144 as trend filter — Enables regime gating. Default: true. Disable to allow raw crossovers.
Use ADX filter — Requires ADX strength. Default: true. Disable to allow signals regardless of strength.
ADX Len — DI and ADX smoothing length. Default: 14. Higher values smooth strength; lower values react faster.
ADX Thresh — Minimum strength for signals. Default: 25. Raise to reduce flips; lower to capture earlier moves.
Entry/Exit labels (price) — Price-panel labels on state changes. Default: true.
Signal labels in ADX pane — Small markers at the ADX value on entries. Default: true.
Label size — tiny, small, normal, large. Default: normal.
Enable barcolor — Optional candle tint by regime and gradient. Default: false.
Enable gradient — Turns on ADX-driven color blending. Default: true.
Window — Bars used to normalize ADX for colors. Default: 100; minimum: 5.
Gamma bars / Gamma plots — Nonlinear scaling for bar and line intensities. Default: 0.80; between 0.30 and 2.00.
Gradient transp (0–90) — Transparency for gradient colors. Default: 0.
MA fill transparency (0–100) — Fill opacity between fast and slow lines. Default: 65.
Palette colors (Up/Down) — Dark and neon endpoints for up and down gradients. Defaults as in the code.
Reading & Interpretation
Fast/Slow lines: When the fast line is above the slow line, the line and fill use the long palette; when below, the short palette is used.
Trend MA (144): Neutral gray line indicating the regime boundary.
Labels on price: “LONG” appears when the state turns long; “SHORT” when it turns short. Labels appear only after the bar closes and conditions are satisfied.
ADX pane: The ADX line shows current strength. The dotted threshold line is the user level for gating. Optional small markers indicate entries at the ADX value.
Bar colors (optional): Candle tint intensity reflects normalized ADX. Higher intensity implies stronger conditions.
Practical Workflows & Combinations
Trend following: Use long entries when fast crosses above slow and price has held above the trend average for two bars, with ADX above threshold. Mirror this for shorts below the trend average.
Exits and stops: Consider reducing exposure when price closes on the opposite side of the trend average for two consecutive bars or when ADX fades below the threshold if the ADX filter is enabled.
Structure confirmation: Combine with higher-timeframe structure such as swing highs and lows or a simple market structure overlay for confirmation.
Multi-asset/Multi-TF: Works across liquid assets. For lower timeframes, consider a slightly lower ADX threshold; for higher timeframes, maintain or raise the threshold to avoid unnecessary flips.
Behavior, Constraints & Performance
Repaint/confirmation: Signals are based on previous-bar crossovers and are confirmed on bar close. No higher-timeframe or security calls are used. Intrabar markers are not relied upon.
Resources: The script declares `max_bars_back` of 2000, uses no loops or arrays, and employs persistent variables for pending signals and state.
Known limits: Crossover systems can lag after sudden reversals. During tight ranges, disabling the ADX filter may increase flips; keeping it enabled may skip early transitions.
Sensible Defaults & Quick Tuning
Starting point: EMA, 13/21/144, ADX length 14, ADX threshold 25, gradients on, barcolor off.
Too many flips: Increase ADX threshold or length; increase trend length; consider SMA instead of EMA.
Too sluggish: Lower ADX threshold slightly; shorten fast and slow lengths; reduce the trend length.
Colors overpowering: Increase gradient transparency or reduce gamma values toward one.
What this indicator is—and isn’t
This is a visualization and signal layer that combines crossover, regime, and strength gating. It does not predict future movements, manage risk, or execute trades. Use it alongside clear structure, risk controls, and a defined position management plan.
Disclaimer
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts.
Best regards and happy trading
Chervolino
Quarter Strength Table (3M) [CHE] Quarter Strength Table (3M) — quarterly seasonality overview for the current symbol
Is there seasonality in certain assets? Some YouTubers claim there is—can you test it yourself?
Summary
This indicator builds a compact table that summarizes quarterly seasonality from three-month bars. It aggregates the simple return of each historical quarter, counts observations, computes the average return and the win rate for each quarter, and flags the historically strongest quarter. The output is a five-column table rendered on the chart, designed for quick comparison rather than signal generation. Because it processes only confirmed higher-timeframe bars, results are stable once a quarter has closed.
Motivation: Why this design?
Seasonality tools often mix intraperiod estimates with live bars, which can lead to misleading flips and inconsistent statistics. The core idea here is to restrict aggregation to completed three-month bars only and to deduplicate events by timestamp. This avoids partial information and double counting, so the table reflects a consistent, closed-bar history.
What’s different vs. standard approaches?
Baseline: Typical seasonality studies that compute monthly or quarterly stats directly on the chart timeframe or update on live higher-timeframe bars.
Architecture differences:
Uses explicit higher-timeframe requests for open, close, time, and calendar month from three-month bars.
Confirms the higher-timeframe bar before recording a sample; deduplicates by the higher-timeframe timestamp.
Keeps fixed arrays of length four for the four quarters; renders a fixed five-by-five table with zebra rows.
Practical effect: Once a quarter closes, counts and averages are stable. The “Best” column marks the highest average quarter so you can quickly identify the historically strongest period.
How it works (technical)
On every chart bar, the script requests three-month open, close, time, and the calendar month derived from that bar’s time. When the three-month bar is confirmed, it computes the simple return for that bar and maps the month to a quarter index between zero and three. A guard stores the last seen three-month timestamp to avoid duplicate writes. Per quarter, it accumulates the sum of returns, the number of samples, and the number of positive samples. From these, it derives average return and win rate. The table header is created once on the first bar; content updates only on the last visible chart bar for efficiency. No forward references are used, and lookahead is disabled in all higher-timeframe requests to avoid peeking.
Parameter Guide
Percent — Formats values as percentages. Default: true. Trade-off: Easier visual comparison; disable if you prefer raw unit returns.
Decimals — Number of digits shown. Default: two. Bounds: zero to six. Trade-off: More digits improve precision but reduce readability.
Show table — Toggles table rendering. Default: true. Trade-off: Disable when space is limited or for batch testing.
Reading & Interpretation
The table shows rows for Q1 through Q4 and columns for Count, Avg Ret, P(win), and Best.
Count: Number of completed three-month bars observed for that quarter.
Avg Ret: Average simple return across all samples in that quarter.
P(win): Share of samples with a positive return.
Best: An asterisk marks the quarter with the highest average return among those with at least one sample.
Use the combination of average and win rate to judge both magnitude and consistency. Low counts signal limited evidence.
Practical Workflows & Combinations
Trend following filter: Favor setups when the upcoming or active quarter historically shows a positive average and a stable win rate. Combine with structure analysis such as higher highs and higher lows to avoid fighting dominant trends.
Exits and risk: When entering during a historically weak quarter, consider tighter risk controls and quicker profit taking.
Multi-asset and multi-timeframe: The default settings work across most liquid symbols. For assets with sparse history, treat results as low confidence due to small sample sizes.
Behavior, Constraints & Performance
Repaint and confirmation: Aggregation occurs only when the three-month bar is confirmed; values do not change afterward for that bar. During an open quarter, no new sample is added.
Higher-timeframe usage: All higher-timeframe requests disable lookahead and rely on confirmation to mitigate repaint.
Resources: Declared `max_bars_back` is two thousand. Arrays are fixed at length four. The script updates the table only on the last visible bar to reduce work.
Known limits: Averages can be affected by outliers and structural market changes. Limited history reduces reliability. Corporate actions and contract rolls may influence returns depending on the symbol’s data source. This is a visualization and not a trading system.
Sensible Defaults & Quick Tuning
Starting values: Percent true; Decimals two; Show table true.
If numbers feel noisy: Decrease decimals to one to reduce visual clutter.
If you need raw values: Turn off Percent to display unit returns.
If the table overlaps price: Toggle Show table off when annotating, or reposition via your chart’s table controls.
What this indicator is—and isn’t
This is a historical summary of quarterly behavior. It visualizes evidence and helps frame expectations. It is not predictive, does not generate trade signals, and does not manage positions or risk. Always combine with market structure, liquidity considerations, and independent risk controls.
Inputs with defaults
Percent: true, boolean.
Decimals: two, integer between zero and six.
Show table: true, boolean.
Pine version: v6
Overlay: true
Primary outputs: Table with five columns and five rows.
Metrics/functions used: Higher-timeframe data requests, table rendering, arrays, bar state checks, month mapping.
Special techniques: Closed-bar aggregation, deduplication by higher-timeframe timestamp, zebra row styling.
Performance/constraints: Two thousand bars back, small fixed loops, higher-timeframe requests without lookahead.
Compatibility/assets/timeframes: Works on time-based charts across most assets with sufficient history.
Limitations/risks: Sample size sensitivity, regime shifts, data differences across venues.
Debug/diagnostics: (Unknown/Optional)
Disclaimer
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts.
Best regards and happy trading
Chervolino
Vertical Lines at 10:00 & 11:30Sales-Style Description
This script is a simple but powerful TradingView add-on that automatically marks your chart with clear, bold vertical lines at exactly 10:00 AM and 11:30 AM every day. No more manually drawing lines or setting reminders — it does the work for you.
Always on time: It tracks the market clock in real-time and drops a line the moment your chart hits those times.
Clean visibility : The lines are bright blue (#2962FF), solid, and drawn with thickness level 3, so they stand out against any background or chart theme.
Automatic housekeeping: It keeps your workspace clean by automatically deleting old lines once you reach a set limit, so your chart never gets cluttered.
Customizable : You can change the time zone, thickness, and the number of days’ worth of lines to keep.
Set it and forget it: Once added to your chart, it runs quietly in the background — you’ll always know when the 10:00 and 11:30 sessions hit without lifting a finger.
Wyckoff PhaseMap Overlay [FxalgoxPro]📊 Wyckoff PhaseMap Overlay
Professional Wyckoff Market Cycle Indicator for TradingView
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🎯 OVERVIEW
The Wyckoff PhaseMap Overlay is a sophisticated indicator that automatically identifies and visualizes the four phases of the Wyckoff Market Cycle on your price chart, combining price action analysis with volume confirmation to detect:
Phase 1: Accumulation (Cause)
Phase 2: Mark Up (Effect)
Phase 3: Distribution (Cause)
Phase 4: Mark Down (Effect)
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🔑 KEY FEATURES
📈 Phase Detection
Accumulation : Identifies selling climax (SC), automatic rally (AR), secondary tests (ST), and springs
Mark Up : Detects sustained uptrend with higher highs/higher lows structure
Distribution : Recognizes buying climax (BC), UTAD (upthrust after distribution), and range formation
Mark Down : Confirms breakdown with volume and downtrend structure
🎨 Visual Elements
Phase Background Colors : Optional color-coded backgrounds for each phase
Range Lines : Dynamic support/resistance levels during accumulation and distribution
Event Markers : Clear labels for Spring, UTAD, JTC (Jump the Creek), and breakdowns
Trend MA Overlay : Moving average for trend confirmation
Phase Labels : Large, descriptive labels when phases change
📊 Dashboard
Real-time phase status
Volume climax indicator
Event counters (Spring, UTAD, JTC)
Customizable position and size
🔔 Alerts
Phase change notifications
Spring detection
UTAD detection
Jump the Creek confirmation
Breakdown signals
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⚙️ CONFIGURATION
Wyckoff Phases (Main Settings)
Parameter | Default | Description
---------------------------- | ------- | -------------
Trend MA Length | 50 | Moving average for trend detection
Volume Climax Threshold | 1.5 | Multiplier for average volume to detect climax events
Range Detection Length | 14 | Lookback period for range identification
Phase 1: Accumulation
Toggle accumulation phase display
Show/hide Spring events
Show/hide AR (Automatic Rally) and ST (Secondary Test)
Customize phase and spring colors
Phase 2: Mark Up
Toggle mark up phase display
Show/hide Jump The Creek (JTC) events
Customize phase and JTC colors
Phase 3: Distribution
Toggle distribution phase display
Show/hide UTAD events
Show/hide BC (Buying Climax)
Customize phase and UTAD colors
Phase 4: Mark Down
Toggle mark down phase display
Customize phase and breakdown colors
Visual Settings
Show Phase Labels : Display large phase transition labels
Show Event Markers : Display Spring, UTAD, JTC markers
Show Phase Background : Color-code background by current phase
Dashboard
Show Dashboard : Toggle statistics panel
Position : Top Right / Bottom Right / Bottom Left
Size : Tiny / Small / Normal
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🧠 HOW IT WORKS
Phase Detection Logic
1️⃣ Accumulation (Cause)
Triggers:
- Selling climax detected (high volume + down move)
- Price enters range-bound consolidation
- Low volume compression
- Spring: False breakdown below support with low volume
2️⃣ Mark Up (Effect)
Triggers:
- Jump The Creek (JTC): Breakout from accumulation range
- Volume confirms breakout (>1.3x average)
- Higher highs and higher lows structure
- Price above trend MA
3️⃣ Distribution (Cause)
Triggers:
- Buying climax detected (high volume + up move)
- Price enters range-bound consolidation after uptrend
- UTAD: False breakout above resistance with volume
- Range compression
4️⃣ Mark Down (Effect)
Triggers:
- Breakdown from distribution range
- Volume confirms breakdown (>1.3x average)
- Lower lows and lower highs structure
- Price below trend MA
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📝 EVENT DEFINITIONS
Event | Phase | Description | Visual
-------- | ------------- | ------------------------------------------------ | -------------------------
SC | Accumulation | Selling Climax - panic selling with high volume | Volume spike + price drop
AR | Accumulation | Automatic Rally - bounce from oversold | Recovery move
ST | Accumulation | Secondary Test - retest of lows | Low volume test
Spring | Accumulation | False breakdown below support | 🟢 Label below
JTC | Mark Up | Jump The Creek - confirmed breakout | 🔵 Label (transition)
BC | Distribution | Buying Climax - euphoric buying with high volume | Volume spike + price rise
UTAD | Distribution | Upthrust After Distribution - false breakout | 🟠 Label above
SOW | Mark Down | Sign of Weakness - confirmed breakdown | 🔴 Label (transition)
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🎯 USE CASES
For Traders
Identify accumulation zones for potential long entries
Recognize distribution zones for potential short entries or exits
Confirm trend changes with phase transitions
Avoid false breakouts (Springs and UTADs)
Time entries using Jump The Creek signals
For Analysts
Market structure analysis across multiple timeframes
Volume-price divergence identification
Institutional behavior tracking (accumulation/distribution)
Cycle completion analysis
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🎨 RECOMMENDED SETTINGS
For Swing Trading (Daily/4H)
Trend MA Length: 50
Volume Climax Threshold: 1.5
Range Detection Length: 14
For Intraday Trading (1H/15m)
Trend MA Length: 20
Volume Climax Threshold: 2.0
Range Detection Length: 10
For Long-term Investors (Weekly)
Trend MA Length: 100
Volume Climax Threshold: 1.3
Range Detection Length: 20
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📚 WYCKOFF METHOD RESOURCES
The indicator is based on Richard Wyckoff's market cycle theory:
Accumulation → Smart money accumulates while retail panics
Mark Up → Price rises as smart money distributes to late buyers
Distribution → Smart money exits while retail buys
Mark Down → Price falls as retail holds losing positions
Learn More:
Wyckoff Analytics
Market cycle analysis
Volume Spread Analysis (VSA)
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⚠️ IMPORTANT NOTES
Volume Required : Indicator requires volume data (won't work on some Forex brokers without volume)
Timeframe : Best results on 1H, 4H, Daily, Weekly
Confirmation : Always combine with other analysis methods
Context : Phase detection improves with clean, trending markets
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🐛 TROUBLESHOOTING
Q: Why aren't any phases showing?
Ensure volume data is available for your symbol
Try adjusting Volume Climax Threshold (lower = more sensitive)
Check if Show Phase Background is enabled
Q: Too many false signals?
Increase Volume Climax Threshold for stricter detection
Increase Range Detection Length for better range identification
Use higher timeframes (4H/Daily)
Q: Dashboard not showing?
Check Show Dashboard is enabled in settings
Ensure panel isn't off-screen (try different position)
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👨💻 CREDITS
Developer : Fxalgox
Method : Richard Wyckoff Market Cycle Theory
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💡 TIPS FOR BEST RESULTS
Combine with Market Context : Use alongside market structure analysis
Multi-timeframe Confirmation : Check higher timeframe phase alignment
Volume is Key : Pay attention to volume climax indicators in dashboard
Be Patient : Wait for phase confirmations before taking action
Use Alerts : Set up alerts for phase changes and key events
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Happy Trading! 📈
Remember: This indicator is a tool for analysis, not financial advice. Always manage risk appropriately.
COT Index + COT Report + Valuation Tool + SeasonalityThis powerful 4-in-1 indicator was designed for traders and analysts seeking a competitive edge by delving deeper into the market's layers. Instead of cluttering your chart with multiple scripts, this tool integrates four fundamental analyses into a single window, selectable via a simple dropdown menu.
What tools are included?
1. COT Index (Commitment of Traders Index):
An oscillator that normalizes data from the COT report to show the extreme positioning of large traders (Commercials, Large Speculators). It's ideal for identifying "overbought" or "oversold" conditions in market sentiment and anticipating potential price reversals.
2. COT Report (Commitment of Traders Report):
This shows the net positions (longs vs. shorts) of traders in their raw values. Unlike the index, this tool allows you to see the actual magnitude of the positioning and how it evolves, serving as an excellent trend confirmation.
3. Valuation Tool:
A relative value indicator that compares the performance of the current asset against three other key symbols (by default: DXY, Gold, and Bonds). It helps you visually determine if an asset is overvalued or undervalued in relation to the broader market, offering a unique perspective for your trades.
4. Seasonality:
Plots the average historical price pattern of the asset for a configurable number of years. This tool provides you with a "roadmap" of seasonal tendencies, allowing you to identify if the current price aligns with its historical behavior for a specific time of year.
How to use it?
1. Add the indicator to your chart.
2. Go to the indicator's settings (the ⚙️ gear icon).
3. In the "Choose Indicator to Display" dropdown menu, select the tool you want to view.
4. To see multiple tools at once, simply add the indicator to the chart multiple times and choose a different tool in each panel.
This indicator is ideal for swing traders, position traders, and macro analysts who wish to supplement their technical analysis with high-quality fundamental data.
