TLM HTF CandlesTLM HTF Candles
Higher timeframe candles displayed on your current chart, optimized for The Lab Model (TLM) trading methodology.
What It Does
Plots up to 6 HTF candles side-by-side on the right of your chart with automatic swing detection, expansion bias coloring, and a quick-reference info table. Watch multiple timeframes at once without switching charts.
Swing Detection - Solid lines for confirmed swings, dashed for potential swings. Detects when HTF levels get swept and rejected.
Expansion Bias - Candles colored green (bullish), red (bearish), or orange (conflicted) based on 3-candle patterns showing expected price expansion.
HTF Info Table - Compact dashboard showing time to close, active swings, and expansion direction for all timeframes. Toggle dark/light mode.
Equilibrium Lines - 50% midpoint from previous candle to current, great for mean reversion targets.
Based on "ICT HTF Candles" by @fadizeidan -
Heavily customized with swing analysis, expansion patterns, and info table for TLM trading concepts.
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Ichimoku Screener [Pineify]Advanced Multi-Timeframe Ichimoku Screener - Complete Market Analysis Tool
This sophisticated Ichimoku Screener represents a comprehensive approach to multi-timeframe market analysis, combining four distinct Ichimoku-based indicators into a unified screening system. Unlike traditional single-symbol indicators, this screener provides simultaneous analysis across multiple assets and timeframes, enabling traders to identify optimal trading opportunities with enhanced precision and efficiency.
Key Features
Multi-asset screening capability for up to 10 symbols simultaneously
Four customizable timeframes per symbol for comprehensive analysis
Four integrated Ichimoku-based indicators working in harmony
Real-time visual feedback with color-coded signals
Customizable Ichimoku parameters for personalized analysis
Clean, organized table display for easy interpretation
Automated signal strength assessment and timing
How It Works
The screener employs the traditional Ichimoku Kinko Hyo methodology, utilizing five core components: Conversion Line (Tenkan-sen), Base Line (Kijun-sen), Leading Span A (Senkou Span A), Leading Span B (Senkou Span B), and displacement calculations. Each component is mathematically calculated using specific period lengths:
Conversion Line = (Highest High + Lowest Low) / 2 over conversion period
Base Line = (Highest High + Lowest Low) / 2 over base period
Leading Span A = (Conversion Line + Base Line) / 2
Leading Span B = (Highest High + Lowest Low) / 2 over lagging span period
The screener processes these calculations across multiple securities simultaneously using TradingView's security() function, enabling real-time cross-asset analysis. The system tracks state changes using barssince() functions to provide precise timing information for each signal type.
Trading Ideas and Insights
This screener excels in identifying momentum convergence patterns where multiple Ichimoku components align across different timeframes. The most powerful signals occur when:
Cloud color aligns with price position relative to the cloud
Conversion Line crosses above/below Base Line in the same direction as cloud bias
Multiple timeframes show consistent directional bias
Entry signals appear with minimal bars since formation (indicating fresh momentum)
For trend following strategies , focus on symbols where the cloud maintains consistent color across higher timeframes while showing recent entry signals on lower timeframes. For reversal opportunities , identify assets where cloud color changes coincide with price re-entering the cloud after extended periods above or below.
The screener particularly excels in cryptocurrency and forex markets where momentum shifts can be dramatic and sustained. By monitoring multiple timeframes simultaneously, traders can identify when short-term signals align with longer-term trends, significantly improving trade success probability.
How Multiple Indicators Work Together
The four integrated indicators create a comprehensive analytical framework through synergistic interaction:
Ichimoku Cloud (IchiCld) establishes the primary trend bias by comparing Leading Span A with Leading Span B. When Span A > Span B, the cloud displays bullish characteristics; when Span A < Span B, bearish characteristics emerge. The indicator tracks duration since the last cloud color change, providing momentum persistence insight.
Ichimoku Lagging Cloud (IchiLagCld) determines price position relative to the displaced cloud formation. This indicator identifies whether current price action occurs above, below, or within the cloud structure, revealing support/resistance dynamics and trend confirmation signals.
Conversion vs Base (IchiC>Base) monitors the relationship between short-term (Conversion Line) and medium-term (Base Line) momentum. Crossovers in this relationship often precede significant price movements and provide early trend change warnings.
Ichimoku Entry (IchiEnt) synthesizes all components into actionable signals by requiring alignment between cloud bias, price position, and conversion/base relationship. This multi-factor confirmation approach significantly reduces false signals while maintaining sensitivity to genuine momentum shifts.
The mathematical foundation ensures that each indicator contributes unique information while maintaining logical consistency. The system's strength lies in requiring multiple confirmations before generating entry signals, following Ichimoku's original philosophy of comprehensive market analysis.
Unique Aspects
This implementation distinguishes itself through several innovative features:
Advanced State Tracking : Unlike standard Ichimoku indicators that show current values, this screener tracks duration since state changes , providing crucial timing information for signal freshness and momentum strength assessment.
Multi-Asset Efficiency : The screener eliminates the need to manually check multiple charts by presenting comparative analysis across assets and timeframes in a single view, dramatically improving analytical efficiency.
Customizable Visual Feedback : The color-coding system adapts to different signal types and strengths, with recent signals receiving enhanced visual prominence to draw attention to fresh opportunities.
Professional Table Architecture : The organized display accommodates up to 40 symbol-timeframe combinations (10 symbols × 4 timeframes), with intelligent pagination for optimal screen utilization.
Signal Correlation Analysis : By displaying multiple timeframes for each symbol, traders can quickly identify timeframe confluence and divergence patterns that would otherwise require extensive manual analysis.
How to Use
Symbol Configuration : Enter up to 10 symbols in the Symbol input group. Use full exchange:ticker format for optimal compatibility (e.g., "BINANCE:BTCUSDT").
Timeframe Selection : Configure four timeframes in ascending order for logical analysis progression. Recommended combinations include 1m/5m/15m/1h for intraday analysis or 1h/4h/1D/1W for swing trading.
Ichimoku Parameters : Adjust the four core parameters based on your trading style:
Conversion Line Length (default: 9) - Controls short-term momentum sensitivity
Base Line Length (default: 26) - Determines medium-term trend identification
Leading Span B Length (default: 52) - Sets long-term trend calculation period
Displacement (default: 26) - Controls forward projection of cloud structure
Signal Interpretation :
Green backgrounds indicate bullish conditions
Red backgrounds indicate bearish conditions
Numerical values show bars since last state change
"L:" prefix indicates long entry signals
"S:" prefix indicates short entry signals
"N/A" indicates neutral/transitional states
Trading Workflow : Scan for symbols showing consistent signals across multiple timeframes, prioritize fresh signals (low bar counts), and use individual charts for precise entry timing and risk management.
Customization
The screener accommodates various trading approaches through parameter adjustment:
Scalping Configuration : Use shorter periods (Conversion: 5, Base: 13, Span B: 26) with 1m/3m/5m/15m timeframes for high-frequency opportunities.
Swing Trading Setup : Employ standard parameters with 4h/1D/3D/1W timeframes for position trading across days or weeks.
Cryptocurrency Optimization : Given crypto's 24/7 nature, consider using 4h/8h/1D/3D combinations for optimal signal timing.
Symbol selection can focus on correlated assets (e.g., major cryptocurrencies) for sector analysis or diverse assets for portfolio opportunity identification. The flexible timeframe configuration allows adaptation to any market's characteristic volatility and trading patterns.
Conclusion
This Advanced Multi-Timeframe Ichimoku Screener transforms traditional single-chart analysis into a comprehensive market monitoring system. By integrating multiple Ichimoku components across various timeframes and assets, it provides traders with unprecedented analytical efficiency and signal reliability.
The mathematical rigor of traditional Ichimoku analysis combines with modern Pine Script capabilities to deliver a professional-grade screening tool. Whether used for identifying trend continuation opportunities, spotting potential reversals, or conducting broad market analysis, this screener offers the analytical depth and practical functionality required for serious trading applications.
The system's emphasis on signal confluence across multiple timeframes and indicators significantly improves trade selection quality while reducing analysis time. For traders seeking to leverage Ichimoku's proven methodology across multiple markets simultaneously, this screener represents an essential analytical upgrade to traditional single-symbol approaches.
Candle Color [AY¹]Visually highlight specific time periods with custom colors on intraday charts.
Ideal for session-based traders who want to emphasize New York, London or any custom trading hours. Developed by AY¹
Candle Color Highlighter
A simple yet powerful intraday visualization tool that colors candles or chart background during your chosen trading sessions.
Perfect for traders who rely on time-based confluences — such as ICT, SMC, or session scalping frameworks.
🔧 Key Features
✅ Highlight up to four custom time periods (e.g. London Open, NY Open, Lunch Hour, etc.)
✅ Supports multiple highlight styles:
• Bar Color only
• Background only
• Both
✅ Full timezone control (Exchange, UTC, New York, London, Tokyo, or custom UTC+3)
✅ Works on all intraday timeframes or only those you select (1m–4h).
✅ Optional labels marking session starts.
✅ Integrated alerts when any period becomes active.
✅ Informative status table showing timezone, timeframe, and active period.
🕒 Use Cases
Highlight New York Killzone (07:30–09:30) or London Open (02:00–03:00)
Separate different liquidity windows
Emphasize your backtest periods
Combine with volume, displacement, or structure indicators for time-based confluence setups
🎨 Customization
Each of the four configurable periods allows you to choose:
Start/End time
Custom color and transparency
Session label visibility
Highlight style preference
💡 Example Setup
Period Session Time Color Notes
Period 1 02:00–03:00 Magenta London Killzone
Period 2 07:30–08:30 Yellow NY Pre-market
Period 3 08:30–09:30 Blue NY Open
Period 4 09:30–10:00 Green Initial Balance
Tchwella Stocks Custom WatermarkThis Pine Script v5 indicator adds a customizable watermark to TradingView charts, displaying key stock information while allowing for flexible positioning and formatting.
📌 Features & Functionality:
✅ Custom Positioning:
• Fixed to the top-left corner.
• Adjustable spacing ensures the text is properly aligned.
✅ Displayed Information (Configurable):
• Company Name & Market Cap (Optional: Shows dynamically calculated market cap)
• Stock Ticker & Timeframe
• Industry & Sector
✅ Customization Options:
• Font Size: Huge, Large, Normal, Small
• Text Color & Transparency: Adjustable
• Proper Left Alignment for a clean, structured display
• Vertical Offset Tweaks to move text down for better visibility
✅ Optimized Table Layout:
• Uses table.new() for persistent placement.
• Added an empty row to fine-tune positioning, ensuring the watermark doesn’t overlap key chart areas.
🔧 Use Case:
Designed for traders who want a clear, customizable stock watermark to enhance their charting experience without obstructing price action.
Feb 1
Release Notes
Updated version: now you can decide your location for the watermark
Micha Stocks Custom Watermark (MSWM) – TradingView Script
This Pine Script v5 indicator adds a customizable watermark to TradingView charts, displaying key stock information while allowing for flexible positioning and formatting.
📌 Features & Functionality:
✅ Custom Positioning:
• Fixed to the top-left corner.
• Adjustable spacing ensures the text is properly aligned.
✅ Displayed Information (Configurable):
• Company Name & Market Cap (Optional: Shows dynamically calculated market cap)
• Stock Ticker & Timeframe
• Industry & Sector
✅ Customization Options:
• Font Size: Huge, Large, Normal, Small
• Text Color & Transparency: Adjustable
• Proper Left Alignment for a clean, structured display
• Vertical Offset Tweaks to move text down for better visibility
✅ Optimized Table Layout:
• Uses table.new() for persistent placement.
• Added an empty row to fine-tune positioning, ensuring the watermark doesn’t overlap key chart areas.
🔧 Use Case:
Designed for traders who want a clear, customizable stock watermark to enhance their charting experience without obstructing price action.
Feb 7
Release Notes
Micha Stocks Custom Watermark – Updated Version 🚀
This updated Micha Stocks Custom Watermark script enhances your TradingView experience by adding an ATR-based volatility signal alongside the existing customizable stock watermark.
🆕 New Features & Improvements:
✅ ATR (14-Day) with Dynamic Volatility Indicator
• Displays the ATR value and its percentage relative to price.
• Includes a color-coded volatility signal:
• 🔴 High Volatility (Above user-defined Red Threshold)
• 🟡 Moderate Volatility (Between Red & Yellow Thresholds)
• 🟢 Low Volatility (Below user-defined Yellow Threshold)
✅ Fully Customizable ATR Thresholds
• Users can set their own ATR % levels for Red, Yellow, and Green signals.
✅ Improved Watermark Customization
• Users can still adjust the position, size, and color of the watermark.
• Includes Company Name, Ticker, Market Cap, Industry, and Sector.
• ATR can be turned on/off in settings for flexibility.
🔧 How to Use:
1️⃣ Go to Indicator Settings → Enable or Disable ATR Display
2️⃣ Adjust ATR % Thresholds to fit your volatility preference
3️⃣ Customize Text Position, Color, and Size to match your chart setup
This update makes it easier to quickly assess market volatility while keeping a clean and professional chart layout.
💡 Why Use This Indicator?
• Effortlessly track key stock info without cluttering your chart.
• Quickly identify volatile conditions using ATR percentage signals.
• Adjust settings on the fly to match your trading strategy.
📢 Update Now & Enjoy a Smarter Charting Experience!
Gap ZonesThis TradingView indicator automatically detects daily price gaps and plots them clearly on any timeframe (intraday or daily).
It helps visualize where unfilled gaps are sitting, track whether they’ve been filled, and control how far the zone extends.
Key Features
1. Daily Gap Detection
• Works even when you’re on intraday charts (uses daily OHLC data).
• Marks both gap up (potential support zones) and gap down (potential resistance zones).
2. Shaded Gap Zones
• Each gap is highlighted as a band (greenish for up, reddish for down).
• Option to turn shading off if you just want horizontal lines.
3. Hide When Filled
• Once price closes or touches the far side of the gap, it disappears (configurable: Touch vs Close).
4. Lookback Window
• Gaps only show if they occurred within the past X trading days (default: 30).
• Prevents your chart from being cluttered with ancient gaps.
5. Multiple Gaps Tracked
• Can track up to 5 recent gaps simultaneously.
• Oldest gaps “roll off” as new ones form.
6. Finite Right-Edge Guides
• Optional horizontal guide lines extend to the right, but only for a fixed number of bars (default: 50).
• Cleaner than infinite extensions.
7. Gap-Day Marker
• Optional vertical line drawn on the bar where the gap first occurred.
⸻
⚙️ Inputs & Settings
When you apply the indicator, you’ll see these options:
• Lookback (trading days): How far back to scan for gaps (default 30).
• Max gaps to show (1..5): How many simultaneous gap zones to display.
• Min gap size (% of prior close): Filter out tiny gaps (default 0.25%).
• Hide gaps once filled: Removes a gap from the chart once filled.
• Fill rule uses CLOSE (off = Touch):
• Touch = filled when price trades through the level intraday.
• Close = filled only when a candle close crosses it.
• Show shading: Toggle zone fills on/off.
• Show vertical marker on gap day: Toggle gap-day marker line.
• Show finite right-edge lines: Toggle horizontal lines extending right.
• Right line length (bars): How far those lines extend (default 50 bars).
⸻
🟢 How to Use It
1. Apply on Any Chart
• Works best on daily or intraday (5m, 15m, 1h).
• Gaps are always calculated from daily data, so intraday charts will show higher-timeframe gaps correctly.
2. Interpret Colors
• Green shading = Gap Up (often acts as support).
• Red shading = Gap Down (often acts as resistance).
3. Watch for Fills
• When price re-enters the gap zone, the indicator checks if it’s “filled” (based on your Touch/Close setting).
• If “Hide When Filled” is on, the zone vanishes.
4. Trade Context
• Many traders use gaps as targets (expecting a fill) or levels of support/resistance.
• Combined with your bull put/bear call spread strategies, it helps confirm strong levels.
Level Founder indicatorQuesto strumento, ideato per l'individuazione dei livelli orizzontali sensibili si prepone l'obiettivo di semplificare la lettura tecnica dei grafici. Alla base di questo indicatore c'è il concetto di volatilità, inteso come scontro tra domanda ed offerta, come escursione delle forze nel campo di battaglia fino alla determinazione del prezzo finale di ogni candela. Di fatto, andando a cogliere quella che è la volatilità candela per candela, l'indicatore la calcola in termini assoluti rendendola un numericamente comparabile, in un range tra 0 e 100. Quando questo valore tocca i 100 si genera un picco di volatilità, il quale va ad identificare un punto di attenzione sul grafico di uno strumento. In corrispondenza di questi picchi si osserva dove la battaglia tra compratori e venditori si è conclusa, ovvero dove domanda ed offerta si sono incontrati per definire un prezzo: la chiusura di candela. In corrispondenza di tale prezzo si ha, quindi, un accordo certo tra domanda ed offerta dopo un periodo di contrattazione volatile, andando a certificare quello che è un livello di prezzo "sudato" per un determinato sottostante. Tale soglia si traduce in un livello orizzontale sensibile, che in futuro (avendo il mercato memoria degli scontri passati) potrà comportarsi da supporto o da resistenza, a seconda della situazione. In breve quindi, si traccia una linea orizzontale in corrispondenza delle chiusure di candela che condividono un picco sull'indicatore "Level Founder Indicator". Funziona su ogni time-frame e sottostante.
N.B. A ridosso di questi livelli si possono cercare pattern per l'operatività oppure cercare delle rotture di questi livelli per delle conferme/inversioni, spaziando dal trading intraday all'investimento di lungo periodo.
ENGLISH VERSION:
This tool, designed to identify sensitive horizontal levels, aims to simplify the technical reading of charts. This indicator is based on the concept of volatility, understood as the clash between supply and demand, the oscillation of forces on the battlefield until the final price of each candlestick is determined. By capturing the volatility candlestick by candlestick, the indicator calculates it in absolute terms, making it numerically comparable, within a range between 0 and 100. When this value reaches 100, a volatility spike is generated, which identifies a point of focus on an instrument's chart. At these peaks, we observe where the battle between buyers and sellers has concluded, that is, where supply and demand have met to define a price: the candlestick's close. At this price, therefore, a definite agreement between supply and demand occurs after a period of volatile trading, certifying what is a "hard-earned" price level for a given underlying asset. This threshold translates into a sensitive horizontal level, which in the future (given the market's memory of past clashes) could act as support or resistance, depending on the situation. In short, a horizontal line is drawn at the candlestick closes that share a peak on the "Level Founder Indicator." It works on any timeframe and underlying asset.
N.B.: Near these levels, you can look for trading patterns or look for breakouts of these levels for confirmations/reversals, ranging from intraday trading to long-term investing.
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
Seasonal Pattern DecoderSeasonal Pattern Decoder
The Seasonal Pattern Decoder is a powerful tool designed for traders and analysts who want to uncover and leverage seasonal tendencies in financial markets. Instead of cluttering your chart with complex visuals, this indicator presents a clean, intuitive table that summarizes historical monthly performance, allowing you to spot recurring patterns at a glance.
How It Works
The indicator fetches historical monthly data for any symbol and calculates the percentage return for each month over a specified number of years. It then organizes this data into a comprehensive table, providing a clear, year-by-year and month-by-month breakdown of performance.
Key Features
Historical Performance Table: Displays monthly returns for up to a user-defined number of years, making it easy to compare performance across different periods.
Color-Coded Heatmap: Each cell is colored based on the performance of the month. Strong positive returns are shaded in green, while strong negative returns are shaded in red, allowing for immediate visual analysis of monthly strength or weakness.
Annual Summary: A "Σ" column shows the total percentage return for each full calendar year.
AVG Row: Calculates and displays the average return for each month across all the years shown in the table.
WR Row: Shows the "Win Rate" for each month, which is the percentage of time that month had a positive return. This is crucial for identifying high-probability seasonal trends.
How to Use
Add the "Seasonal Pattern Decoder" indicator to your chart. Note that it works best on Daily, Weekly, or Monthly timeframes. A warning message will be displayed on intraday charts.
In the indicator settings, adjust the "Lookback Period" to control how many years of historical data you want to analyze.
Use the "Show Years Descending" option to sort the table from the most recent year to the oldest.
The "Heat Range" setting allows you to adjust the sensitivity of the color-coding to fit the volatility of the asset you are analyzing.
This tool is ideal for confirming trading biases, developing seasonal strategies, or simply gaining a deeper understanding of an asset's typical behavior throughout the year.
## Disclaimer
This indicator is designed as a technical analysis tool and should be used in conjunction with other forms of analysis and proper risk management.
Past performance does not guarantee future results, and traders should thoroughly test any strategy before implementing it with real capital.
BayesStack RSI [CHE]BayesStack RSI — Stacked RSI with Bayesian outcome stats and gradient visualization
Summary
BayesStack RSI builds a four-length RSI stack and evaluates it with a simple Bayesian success model over a rolling window. It highlights bull and bear stack regimes, colors price with magnitude-based gradients, and reports per-regime counts, wins, and estimated win rate in a compact table. Signals seek to be more robust through explicit ordering tolerance, optional midline gating, and outcome evaluation that waits for events to mature by a fixed horizon. The design focuses on readable structure, conservative confirmation, and actionable context rather than raw oscillator flips.
Motivation: Why this design?
Classical RSI signals flip frequently in volatile phases and drift in calm regimes. Pure threshold rules often misclassify shallow pullbacks and stacked momentum phases. The core idea here is ordered, spaced RSI layers combined with outcome tracking. By requiring a consistent order with a tolerance and optionally gating by the midline, regime identification becomes clearer. A horizon-based maturation check and smoothed win-rate estimate provide pragmatic feedback about how often a given stack has recently worked.
What’s different vs. standard approaches?
Reference baseline: Traditional single-length RSI with overbought and oversold rules or simple crossovers.
Architecture differences:
Four fixed RSI lengths with strict ordering and a spacing tolerance.
Optional requirement that all RSI values stay above or below the midline for bull or bear regimes.
Outcome evaluation after a fixed horizon, then rolling counts and a prior-smoothed win rate.
Dispersion measurement across the four RSIs with a percent-rank diagnostic.
Gradient coloring of candles and wicks driven by stack magnitude.
A last-bar statistics table with counts, wins, win rate, dispersion, and priors.
Practical effect: Charts emphasize sustained momentum alignment instead of single-length crosses. Users see when regimes start, how strong alignment is, and how that regime has recently performed for the chosen horizon.
How it works (technical)
The script computes RSI on four lengths and forms a “stack” when they are strictly ordered with at least the chosen tolerance between adjacent lengths. A bull stack requires a descending set from long to short with positive spacing. A bear stack requires the opposite. Optional gating further requires all RSI values to sit above or below the midline.
For evaluation, each detected stack is checked again after the horizon has fully elapsed. A bull event is a success if price is higher than it was at event time after the horizon has passed. A bear event succeeds if price is lower under the same rule. Rolling sums over the training window track counts and successes; a pair of priors stabilizes the win-rate estimate when sample sizes are small.
Dispersion across the four RSIs is measured and converted to a percent rank over a configurable window. Gradients for bars and wicks are normalized over a lookback, then shaped by gamma controls to emphasize strong regimes. A statistics table is created once and updated on the last bar to minimize overhead. Overlay markers and wick coloring are rendered to the price chart even though the indicator runs in a separate pane.
Parameter Guide
Source — Input series for RSI. Default: close. Tips: Use typical price or hlc3 for smoother behavior.
Overbought / Oversold — Guide levels for context. Defaults: seventy and thirty. Bounds: fifty to one hundred, zero to fifty. Tips: Narrow the band for faster feedback.
Stacking tolerance (epsilon) — Minimum spacing between adjacent RSIs to qualify as a stack. Default: zero point twenty-five RSI points. Trade-off: Higher values reduce false stacks but delay entries.
Horizon H — Bars ahead for outcome evaluation. Default: three. Trade-off: Longer horizons reduce noise but delay success attribution.
Rolling window — Lookback for counts and wins. Default: five hundred. Trade-off: Longer windows stabilize the win rate but adapt more slowly.
Alpha prior / Beta prior — Priors used to stabilize the win-rate estimate. Defaults: one and one. Trade-off: Larger priors reduce variance with sparse samples.
Show RSI 8/13/21/34 — Toggle raw RSI lines. Default: on.
Show consensus RSI — Weighted combination of the four RSIs. Default: on.
Show OB/OS zones — Draw overbought, oversold, and midline. Default: on.
Background regime — Pane background tint during bull or bear stacks. Default: on.
Overlay regime markers — Entry markers on price when a stack forms. Default: on.
Show statistics table — Last-bar table with counts, wins, win rate, dispersion, priors, and window. Default: on.
Bull requires all above fifty / Bear requires all below fifty — Midline gate. Defaults: both on. Trade-off: Stricter regimes, fewer but cleaner signals.
Enable gradient barcolor / wick coloring — Gradient visuals mapped to stack magnitude. Defaults: on. Trade-off: Clearer regime strength vs. extra rendering cost.
Collection period — Normalization window for gradients. Default: one hundred. Trade-off: Shorter values react faster but fluctuate more.
Gamma bars and shapes / Gamma plots — Curve shaping for gradients. Defaults: zero point seven and zero point eight. Trade-off: Higher values compress weak signals and emphasize strong ones.
Gradient and wick transparency — Visual opacity controls. Defaults: zero.
Up/Down colors (dark and neon) — Gradient endpoints. Defaults: green and red pairs.
Fallback neutral candles — Directional coloring when gradients are off. Default: off.
Show last candles — Limit for gradient squares rendering. Default: three hundred thirty-three.
Dispersion percent-rank length / High and Low thresholds — Window and cutoffs for dispersion diagnostics. Defaults: two hundred fifty, eighty, and twenty.
Table X/Y, Dark theme, Text size — Table anchor, theme, and typography. Defaults: right, top, dark, small.
Reading & Interpretation
RSI stack lines: Alignment and spacing convey regime quality. Wider spacing suggests stronger alignment.
Consensus RSI: A single line that summarizes the four lengths; use as a smoother reference.
Zones: Overbought, oversold, and midline provide context rather than standalone triggers.
Background tint: Indicates active bull or bear stack.
Markers: “Bull Stack Enter” or “Bear Stack Enter” appears when the stack first forms.
Gradients: Brighter tones suggest stronger stack magnitude; dull tones suggest weak alignment.
Table: Count and Wins show sample size and successes over the window. P(win) is a prior-stabilized estimate. Dispersion percent rank near the high threshold flags stretched alignment; near the low threshold flags tight clustering.
Practical Workflows & Combinations
Trend following: Enter only on new stack markers aligned with structure such as higher highs and higher lows for bull, or lower lows and lower highs for bear. Use the consensus RSI to avoid chasing into overbought or oversold extremes.
Exits and stops: Consider reducing exposure when dispersion percent rank reaches the high threshold or when the stack loses ordering. Use the table’s P(win) as a context check rather than a direct signal.
Multi-asset and multi-timeframe: Defaults travel well on liquid assets from intraday to daily. Combine with higher-timeframe structure or moving averages for regime confirmation. The script itself does not fetch higher-timeframe data.
Behavior, Constraints & Performance
Repaint and confirmation: Stack markers evaluate on the live bar and can flip until close. Alert behavior follows TradingView settings. Outcome evaluation uses matured events and does not look into the future.
HTF and security: Not used. Repaint paths from higher-timeframe aggregation are avoided by design.
Resources: max bars back is two thousand. The script uses rolling sums, percent rank, gradient rendering, and a last-bar table update. Shapes and colored wicks add draw overhead.
Known limits: Lag can appear after sharp turns. Very small windows can overfit recent noise. P(win) is sensitive to sample size and priors. Dispersion normalization depends on the collection period.
Sensible Defaults & Quick Tuning
Start with the shipped defaults.
Too many flips: Increase stacking tolerance, enable midline gates, or lengthen the collection period.
Too sluggish: Reduce stacking tolerance, shorten the collection period, or relax midline gates.
Sparse samples: Extend the rolling window or increase priors to stabilize P(win).
Visual overload: Disable gradient squares or wick coloring, or raise transparency.
What this indicator is—and isn’t
This is a visualization and context layer for RSI stack regimes with simple outcome statistics. It is not a complete trading system, not predictive, and not a signal generator on its own. Use it with market structure, risk controls, and position management that fit your process.
Metadata
- Pine version: v6
- Overlay: false (price overlays are drawn via forced overlay where applicable)
- Primary outputs: Four RSI lines, consensus line, OB/OS guides, background tint, entry markers, gradient bars and wicks, statistics table
- Inputs with defaults: See Parameter Guide
- Metrics and functions used: RSI, rolling sums, percent rank, dispersion across RSI set, gradient color mapping, table rendering, alerts
- Special techniques: Ordered RSI stacking with tolerance, optional midline gating, horizon-based outcome maturation, prior-stabilized win rate, gradient normalization with gamma shaping
- Performance and constraints: max bars back two thousand, rendering of shapes and table on last bar, no higher-timeframe data, no security calls
- Recommended use-cases: Regime confirmation, momentum alignment, post-entry management with dispersion and recent outcome context
- Compatibility: Works across assets and timeframes that support RSI
- Limitations and risks: Sensitive to parameter choices and market regime changes; not a standalone strategy
- Diagnostics: Statistics table, dispersion percent rank, gradient intensity
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.
Best regards and happy trading
Chervolino.
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.
ARGT Possible entry and exit points:This is just an observation, and not any type of financial advice.
]To identify key entry and exit points. In addition, this is based on YTD and yearly charts. This is a work in progress.
4 Stages of StockThis script uses 40Weekly MA to baseline larges trends in the stock. This is based on Puru's idea of 4 Stage of Stock.
Stage 1 (Basing)
Stage 2 (Advancing)
Stage 3 (Topping)
Stage 4 (Declining)
This is best viewed and understood on weekly charts.
NY Open OR/ATR Diff Planner – v2.8 NY Open OR/ATR Diff Planner – v2.8 (Hi-Contrast)
Trade the Opening Range Breakout with a plan, not vibes.
This tool builds the NY Opening Range (OR) from the cash open and overlays a complete, risk-based execution plan: precise entry, structural stop, position size, targets, and R:R — all tied to the Daily ATR(14) and the remaining ATR “fuel” left in the day.
What it does
Opening Range: First N minutes after 09:30 ET (choose 5/15/30/60).
Today-only lines: Automatically resets at 09:30; no carry-over from prior days.
Session aware: Works on RTH or ETH charts. OR always anchors at 09:30 ET.
Fuel model: Computes Session Range (since 09:30) and ATR Diff Left = Daily ATR − Session Range.
Entries & Stops:
Long plan: Entry = ORH, Stop = ORL
Short plan: Entry = ORL, Stop = ORH
Targets:
TP1 = 1R (distance of entry→stop)
TP (ATR-diff cap): Entry ± ATR Diff Left (caps greed when the day’s ATR is nearly spent)
Sizing & R:R: Position size = Account × Risk% / Risk per share, with live R:R to ATR-diff target.
Hi-contrast table: Clear readout of Daily ATR, OR size, OR/ATR%, Session Range, ATR left, entries/stops/TPs, size, and max $ risk.
Inputs
Opening Range (minutes): 5 / 15 / 30 / 60
Account Size ($) and Risk % per trade
Session mode: RTH (09:30–16:00) or ETH (chart’s session; still anchored at 09:30)
Also show Short plan (toggle)
Show info table (toggle)
How to use
Add on a 1–5m chart.
Choose your OR window (e.g., 15m = 09:30–09:45).
Set Account Size and Risk % (e.g., 4–5% for small accounts; adjust to taste).
Wait for the OR to complete.
Trade the break/retest with the levels shown:
Long: Break of ORH, SL at ORL, TP1 = 1R, TP2 = ATR-diff cap.
Short: Mirror logic.
If OR/ATR% > ~50% (red), the “fuel” is thin — be selective.
Why it helps build an edge
Objective structure: Clear levels and sizing remove guesswork.
Context-aware targets: ATR-diff keeps targets realistic to the day’s potential.
Discipline by design: One framework that’s easy to review, journal, and iterate.
Notes
This is an indicator (visual planner), not an order-placing strategy.
If you want a back testable version (one trade/day, optional retest rule, TP/SL logic), say the word — I can publish a strategy variant.
Keywords: ORB, Opening Range, ATR, Risk Management, Position Sizing, Day Trading, NYSE Open, Mean Reversion Fuel, Execution Planner
Inversion Fair Value Gap Signals [AlgoAlpha]🟠 OVERVIEW
This script is a custom signal tool called Inversion Fair Value Gap Signals (IFVG) , designed to detect, track, and visualize fair value gaps (FVGs) and their inversions directly on price charts. It identifies bullish and bearish imbalances, monitors when these zones are mitigated or rejected, and extends them until resolution or expiration. What makes this script original is the inclusion of inversion logic—when a gap is filled, the area flips into an opposite "inversion fair value gap," creating potential reversal or continuation zones that give traders additional context beyond classic FVG analysis.
🟠 CONCEPTS
The script builds on the Smart Money Concepts (SMC) principle of fair value gaps, where inefficiencies form when price moves too quickly in one direction. Detection requires a three-bar sequence: a strong up or down move that leaves untraded price between bar highs and lows. To refine reliability, the script adds an ATR-based size filter and prevents overlap between zones. Once created, gaps are tracked in arrays until mitigation (price closing back into the gap), expiration, or transformation into an inversion zone. Inversions act as polarity flips, where bullish gaps become bearish resistance and bearish gaps become bullish support. Lower-timeframe volume data is also displayed inside zones to highlight whether buying or selling pressure dominated during gap creation.
🟠 FEATURES
Automatic detection of bullish and bearish FVGs with ATR-based thresholding.
Inversion logic: mitigated gaps flip into opposite-colored IFVG zones.
Volume text overlay inside each zone showing up vs down volume.
Visual markers (△/▽ for FVG, ▲/▼ for IFVG) when price exits a zone without mitigation.
🟠 USAGE
Apply the indicator to any chart and enable/disable bullish or bearish FVG detection depending on your focus. Use the colored gap zones as areas of interest: bullish gaps suggest possible continuation to the upside until mitigated, while bearish gaps suggest continuation down. When a gap flips into an inversion zone, treat it as potential support/resistance—bullish IFVGs below price may act as demand, while bearish IFVGs above price may act as supply. Watch the embedded up/down volume data to gauge the strength of participants during gap formation. Use the △/▽ and ▲/▼ markers to spot when price rejects gaps or inversions without filling them, which can indicate strong trending momentum. For practical use, combine alerts with your trade plan to track when new gaps form, when old ones are resolved, or when key zones flip into inversions, helping you align entries, targets, or reversals with institutional order flow logic.
Sols Day Trading Signals (5m / 10m)This indicator is designed for day trading on the 5-minute and 10-minute charts.
Includes:
EMA 9 & EMA 21 crossover signals
MACD momentum confirmation
RSI trend filter (50+)
Buy/Sell labels directly on the chart
💡 How to Use:
Go long when EMA 9 crosses above EMA 21, MACD is positive, and RSI is above 50
Go short when EMA 9 crosses below EMA 21, MACD is negative, and RSI is below 50
Best used with proper risk management (1-2% per trade)
⚠️ Disclaimer: This is for educational purposes only — always backtest and trade responsibly.
Bollinger Bands (Log Scale)📈 Bollinger Bands on log scale are broken.
Many traders use log charts for better price symmetry—but still apply Bollinger Bands calculated on linear price. That mismatch creates distorted signals.
Here’s what I found:
- Standard deviation becomes misleading on log scale
- Band width no longer reflects true volatility
- Breakout signals lose behavioral clarity
🛠 So I rewrote the logic.
My version calculates Bollinger Bands using log(price) for both mean and deviation, then maps the result back to price. It behaves correctly on log charts and aligns better with behavioral scoring.
Multi-TF 👀### Multi-Timeframe Analysis (MTF-Analysis)
**Overview**
The Multi-Timeframe Analysis indicator is a powerful visualization tool designed for traders who incorporate multi-timeframe (MTF) strategies into their decision-making process. It overlays compact, customizable candle representations from up to four higher timeframes directly on your chart, positioned to the right of the last bar for quick reference. This allows you to monitor price action, momentum via EMAs, and key levels like Fair Value Gaps (FVGs) across multiple resolutions without switching charts. Built with efficiency in mind, it supports automatic timeframe detection, real-time updates, and a clean, non-intrusive design that enhances your trading workflow.
Ideal for day traders, swing traders, and scalpers, this indicator helps identify alignments between timeframes, spot potential reversals or continuations, and validate entries/exits based on higher-timeframe context. It leverages Pine Script v6 for smooth performance, with optimizations to handle up to 5000 bars back and extensive drawing limits.
**Key Features**
- **Multi-Timeframe Candle Display**: Renders recent candles (configurable from 5 to 100 per timeframe) from selected higher timeframes (e.g., 5m, 15m, 1H, 4H) as compact bars with customizable width, spacing, and padding. Bullish and bearish candles are color-coded for instant recognition.
- **Automatic Timeframe Adaptation**: When enabled, the indicator intelligently selects complementary timeframes based on your chart's resolution (e.g., on a 1m chart, it might show 5m, 15m, and 1H). Manual overrides are available for full control.
- **EMA Overlays**: Plots EMA9, EMA21, and EMA50 on each MTF section using a user-defined source (e.g., OHLC/4, close). EMAs can be dashed for clarity and enabled/disabled per timeframe, helping to gauge momentum and trend strength.
- **Fair Value Gaps (FVGs)**: Detects bullish (+FVG) and bearish (-FVG) gaps with a configurable lookback length (5-50 bars). Gaps are visualized as dotted boxes extending from the candle, highlighting potential support/resistance zones or imbalances.
- **Time Labels and Debugging**: Displays timestamp labels under every fourth candle for chronological context. A debug mode expands spacing and adds detailed labels (e.g., OHLC, volume, EMA values) for testing and verification.
- **Customization Options**: Extensive inputs for colors (bodies, wicks, EMAs, FVGs), label sizes/styles, and layout ensure seamless integration with your chart theme. Supports futures symbols with a time offset adjustment.
- **Performance Optimizations**: Uses arrays for efficient data management, clears drawings on realtime updates or timeframe changes, and limits buffer sizes to prevent overload.
**How to Use**
1. Add the indicator to your chart via TradingView's "Indicators" menu.
2. Configure timeframes: Enable/disable up to four TFs and set the number of candles to display. Use "Auto Timeframe" for smart defaults.
3. Adjust EMAs: Select the source type and toggle per TF to focus on relevant momentum signals (e.g., EMA9 crossovers for short-term trades).
4. Enable FVGs: Activate per TF and tweak the length to suit your market (shorter for volatile assets, longer for trends).
5. Fine-tune appearance: Modify padding, candle width, and colors to avoid clutter. Use debug mode during setup.
6. Interpret: Align your chart's price action with MTF candles—look for confluence in trends, FVGs filling as support/resistance, or EMA alignments for high-probability setups.
**Input Settings**
- **General**: Hour offset for time adjustments (useful for futures).
- **Timeframes**: Enable TFs 1-4, select resolutions (e.g., "5m"), and set candle counts. Auto mode simplifies this.
- **FVG/iFVG**: Toggle per TF, customize colors and detection length.
- **EMA**: Enable per TF, choose source, colors, and dashed style.
- **Candle Appearance**: Bull/bear colors for bodies/wicks, width/spacing/padding, label size/color.
- **Debug**: Expands view for detailed inspection.
**Notes**
- This indicator is non-repainting and updates in realtime, but performance may vary on lower timeframes with many candles—reduce counts if needed.
- FVGs are calculated locally on recent bars for efficiency; historical gaps beyond the buffer aren't shown.
- Compatible with all symbols, but best on volatile markets like forex, crypto, or indices.
- Feedback welcome—updates may include more MA types or advanced FVG filters.
Enhance your edge with multi-timeframe insights—try MTF-Analysis today!
Key Levels: Open & Midday🔹 Opening Candle (9:30 AM New York Time)
Plots the high and low of the first 5-minute candle after the market opens.
🔹 12:30 PM Candle (3 hours after open)
Plots the high and low of the candle formed exactly 3 hours after the market opens.
These levels are useful for:
Identifying support/resistance zones.
Creating breakout or reversal strategies.
Tracking intraday momentum shifts.
📌 Important Notes:
Designed for 5-minute charts.
Make sure your chart is set to New York time (exchange time) for accurate levels.
Happy Trading!
Foresight Cone (HoltxF1xVWAP) [KedArc Quant]Description:
This is a time-series forecasting indicator that estimates the next bar (F1) and projects a path a few bars ahead. It also draws a confidence cone based on how accurate the recent forecasts have been. You can optionally color the projection only when price agrees with VWAP.
Why it’s different
* One clear model: Everything comes from Holt’s trend-aware forecasting method—no mix of unrelated indicators.
* Transparent visuals: You see the next-bar estimate (F1), the forward projection, and a cone that widens or narrows based on recent forecast error.
* Context, not signals: The VWAP option only changes colors. It doesn’t add trade rules.
* No look-ahead: Accuracy is measured using the forecast made on the previous bar versus the current bar.
Inputs (what they mean)
* Source: Price series to forecast (default: Close).
* Preset: Quick profiles for fast, smooth, or momentum markets (see below).
* Alpha (Level): How fast the model reacts to new prices. Higher = faster, twitchier.
* Beta (Trend): How fast the model updates the slope. Higher = faster pivots, more flips in chop.
* Horizon: How many bars ahead to project. Bigger = wider cone.
* Residual Window: How many bars to judge recent accuracy. Bigger = steadier cone.
* Confidence Z: How wide the cone should be (typical setting ≈ “95% style” width).
* Show Bands / Draw Forward Path: Turn the cone and forward lines on/off.
* Color only when aligned with VWAP: Highlights projections only when price agrees with the trend side of VWAP.
* Colors / Show Panel: Styling plus a small panel with RMSE, MAPE, and trend slope.
Presets (when to pick which)
* Scalp / Fast (1-min): Very responsive; best for quick moves. More twitch in chop.
* Smooth Intraday (1–5 min): Calmer and steadier; a good default most days.
* Momentum / Breakout: Quicker slope tracking during strong pushes; may over-react in ranges.
* Custom: Set your own values if you know exactly what you want.
What is F1 here?
F1 is the model’s next-bar fair value. Crosses of price versus F1 can hint at short-term momentum shifts or mean-reversion, especially when viewed with VWAP or the cone.
How this helps
* Gives a baseline path of where price may drift and a cone that shows normal wiggle room.
* Helps you tell routine noise (inside cone) from information (edges or breaks outside the cone).
* Keeps you aware of short-term bias via the trend slope and F1.
How to use (step by step)
1. Add to chart → choose a Preset (start with Smooth Intraday).
2. Set Horizon around 8–15 bars for intraday.
3. (Optional) Turn on VWAP alignment to color only when price agrees with the trend side of VWAP.
4. Watch where price sits relative to the cone and F1:
* Inside = normal noise.
* At edges = stretched.
* Outside = possible regime change.
5. Check the panel: if RMSE/MAPE spike, expect a wider cone; consider a smoother preset or a higher timeframe.
6. Tweak Alpha/Beta only if needed: faster for momentum, slower for chop.
7. Combine with your own plan for entries, exits, and risk.
Accuracy Panel — what it tells you
Preset & Horizon: Shows which preset you’re using and how many bars ahead the projection goes. Longer horizons mean more uncertainty.
RMSE (error in price units): A “typical miss” measured in the chart’s currency (e.g., ₹).
Lower = tighter fit and a usually narrower cone. Rising = conditions getting noisier; the cone will widen.
MAPE (error in %): The same idea as RMSE but in percent.
Good for comparing different symbols or timeframes. Sudden spikes often hint at a regime change.
Slope T: The model’s short-term trend reading.
Positive = gentle up-bias; negative = gentle down-bias; near zero = mostly flat/drifty.
How to read it at a glance
Calm & directional: RMSE/MAPE steady or falling + Slope T positive (or negative) → trends tend to respect the cone’s mid/upper (or mid/lower) area.
Choppy/uncertain: RMSE/MAPE climbing or jumping → expect more whipsaw; rely more on the cone edges and higher-TF context.
Flat tape: Slope T near zero → mean-revert behavior is common; treat cone edges as stretch zones rather than breakout zones.
Warm-up & tweaks
Warm-up: Right after adding the indicator, the panel may be blank for a short time while it gathers enough bars.
Too twitchy? Switch to Smooth Intraday or increase the Residual Window.
Too slow? Use Scalp/Fast or Momentum/Breakout to react quicker.
Timeframe tips
* 1–3 min: Scalp/Fast or Momentum/Breakout; horizon \~8–12.
* 5–15 min: Smooth Intraday; horizon \~12–15.
* 30–60 min+: Consider a larger residual window for a steadier cone.
FAQ
Q: Is this a strategy or an indicator?
A: It’s an indicator only. It does not place orders, TP/SL, or run backtests.
Q: Does it repaint?
A: The next-bar estimate (F1) and the cone are calculated using only information available at that time. The forward path is a projection drawn on the last bar and will naturally update as new bars arrive. Historical bars aren’t revised with future data.
Q: What is F1?
A: F1 is the indicator’s best guess for the next bar.
Price crossing above/below F1 can hint at short-term momentum shifts or mean-reversion.
Q: What do “Alpha” and “Beta” do?
A: Alpha controls how fast the indicator reacts to new prices
(higher = faster, twitchier). Beta controls how fast the slope updates (higher = quicker pivots, more flips in chop).
Q: Why does the cone width change?
A: It reflects recent forecast accuracy. When the market gets noisy, the cone widens. When the tape is calm, it narrows.
Q: What does the Accuracy Panel tell me?
A:
* Preset & Horizon you’re using.
* RMSE: typical forecast miss in price units.
* MAPE: typical forecast miss in percent.
* Slope T: short-term trend reading (up, down, or flat).
If RMSE/MAPE rise, expect a wider cone and more whipsaw.
Q: The panel shows “…” or looks empty. Why?
A: It needs a short warm-up to gather enough bars. This is normal after you add the indicator or change settings/timeframes.
Q: Which timeframe is best?
A:
* 1–3 min: Scalp/Fast or Momentum/Breakout, horizon \~8–12.
* 5–15 min: Smooth Intraday, horizon \~12–15.
Higher timeframes work too; consider a larger residual window for steadier cones.
Q: Which preset should I start with?
A: Start with Smooth Intraday. If the market is trending hard, try Momentum/Breakout.
For very quick tapes, use Scalp/Fast. Switch back if things get choppy.
Q: What does the VWAP option do?
A: It only changes colors (highlights when price agrees with the trend side of VWAP).
It does not add or remove signals.
Q: Are there alerts?
A: Yes—alerts for price crossing F1 (up/down). Use “Once per bar close” to reduce noise on fast charts.
Q: Can I use this on stocks, futures, crypto, or FX?
A: Yes. It works on any symbol/timeframe. You may want to adjust Horizon and the Residual Window based on volatility.
Q: Can I use it with Heikin Ashi or other non-standard bars?
A: You can, but remember you’re forecasting the synthetic series of those bars. For pure price behavior, use regular candles.
Q: The cone feels too wide/too narrow. What do I change?
A:
* Too wide: lower Alpha/Beta a bit or increase the Residual Window.
* Too narrow (misses moves): raise Alpha/Beta slightly or try Momentum/Breakout.
Q: Why do results change when I switch timeframe or symbol?
A: Different noise levels and trends. The accuracy stats reset per chart, so the cone adapts to each context.
Q: Any limits or gotchas?
A: Extremely large Horizon may hit TradingView’s line-object limits; reduce Horizon or turn
off extra visuals if needed. Big gaps or news spikes will widen errors—expect the cone to react.
Q: Can this predict exact future prices?
A: No. It provides a baseline path and context. Always combine with your own rules and risk management.
Glossary
* TS (Time Series): Data over time (prices).
* Holt’s Method: A forecasting approach that tracks a current level and a trend to predict the next bars.
* F1: The indicator’s best guess for the next bar.
* F(h): The projected value h bars ahead.
* VWAP: Volume-Weighted Average Price—used here for optional color alignment.
* RMSE: Typical forecast miss in price units (how far off, on average).
* MAPE: Typical forecast miss in percent (scale-free, easy to compare).
Notes & limitations
* The panel needs a short warm-up; stats may be blank at first.
* The cone reflects recent conditions; sudden volatility changes will widen it.
* This is a tool for context. It does not place trades and does not promise results.
⚠️ Disclaimer
This script is provided for educational purposes only.
Past performance does not guarantee future results.
Trading involves risk, and users should exercise caution and use proper risk management when applying this strategy.
RMA EMA Crossover | MisinkoMasterThe RMA EMA Crossover (REMAC) is a trend-following overlay indicator designed to detect shifts in market momentum using the interaction between a smoothed RMA (Relative Moving Average) and its EMA (Exponential Moving Average) counterpart.
This combination provides fast, adaptive signals while reducing noise, making it suitable for a wide range of markets and timeframes.
🔎 Methodology
RMA Calculation
The Relative Moving Average (RMA) is calculated over the user-defined length.
RMA is a type of smoothed moving average that reacts more gradually than a standard EMA, providing a stable baseline.
EMA of RMA
An Exponential Moving Average (EMA) is then applied to the RMA, creating a dual-layer moving average system.
This combination amplifies trend signals while reducing false crossovers.
Trend Detection (Crossover Logic)
Bullish Signal (Trend Up) → When RMA crosses above EMA.
Bearish Signal (Trend Down) → When EMA crosses above RMA.
This simple crossover system identifies the direction of momentum shifts efficiently.
📈 Visualization
RMA and EMA are plotted directly on the chart.
Colors adapt dynamically to the current trend:
Cyan / Green hues → RMA above EMA (bullish momentum).
Magenta / Red hues → EMA above RMA (bearish momentum).
Filled areas between the two lines highlight zones of trend alignment or divergence, making it easier to spot reversals at a glance.
⚡ Features
Adjustable length parameter for RMA and EMA.
Overlay format allows for direct integration with price charts.
Visual trend scoring via color and fill for rapid assessment.
Works well across all asset classes: crypto, forex, stocks, indices.
✅ Use Cases
Trend Following → Stay on the right side of the market by following momentum shifts.
Reversal Detection → Crossovers highlight early trend changes.
Filter for Trading Systems → Use as a confirmation overlay for other indicators or strategies.
Visual Market Insight → Filled zones provide immediate context for trend strength.
EMA Ribbon - Adjustable with Toggles📌 Script Name:
EMA Ribbon - Adjustable with Toggles
🧠 Primary Function:
This script plots a customizable Exponential Moving Average (EMA) Ribbon on Trading View charts. It allows the user to enable or disable any of the 8 EMAs individually and shows buy/sell signals based on the crossover between the fastest and slowest EMAs.
⚙️ Key Features:
✅ User Controls:
Toggle ON/OFF each of the 8 EMAs independently.
Set the length of each EMA (from 1 upward).
EMA colors vary based on their speed (green for faster, orange for slower).
📈 EMA Calculation:
Calculates 8 separate EMAs using the closing price (close).
🎨 Chart Visualization:
Plots each EMA with a unique color and transparency.
Draws a colored ribbon between the highest and lowest active EMAs to visualize trend zones.
📊 Trend Direction Logic:
The trend is determined solely based on EMA 1 (fastest) and EMA 8 (slowest).
A bullish trend is when EMA 1 > EMA 8, and bearish when EMA 1 < EMA 8.
📍 Buy/Sell Signals:
Buy Signal: When the trend shifts from bearish to bullish (EMA 1 crosses above EMA 8).
Sell Signal: When the trend shifts from bullish to bearish (EMA 1 crosses below EMA 8).
Signals are displayed as green (buy) and red (sell) triangles on the chart.
🔔 Alerts:
Built-in alert conditions for buy and sell signals.
Custom alert messages in Arabic (can be modified if needed).
🌟 Additional Highlights:
Well-structured and easy to expand.
Great for trend-following strategies using EMA ribbons.
Helps identify consolidation zones and trend confirmation.
Apex Edge Sentinel - Stop Loss HUDApex Edge – ATR Sentinel Stop Loss HUD
The Apex Edge – ATR Sentinel is a complete stop-loss intelligence system built as a clean, always-on HUD.
It delivers institutional-level risk guidance by calculating and displaying live ATR-based stop levels for both long and short trades at multiple risk tolerances.
Forget cluttered charts and repainting lines — Sentinel gives you a clear stop-loss reference panel that updates dynamically with every bar.
✅ Features
• Triple ATR Multipliers
User-defined (e.g. x1.5 / x2.0 / x2.5). Compare tight, medium, and wide stops instantly.
• Dual-Side SL Levels
Both Long and Short safe stop prices displayed side by side. No more guessing trend
bias.
• ATR Transparency
HUD shows ATR(length) so you always know the calculation basis. Default = 14, adjustable
to your style.
• ATR Regime Meter
Detects volatility conditions (LOW / NORMAL / HIGH) by comparing ATR to its SMA. Helps
you avoid over-tight stops in high-volatility markets.
• Tick-Aware Rounding
Stop levels auto-rounded to the instrument’s tick size (Gold = 0.10, FX = 0.0001, indices =
whole points).
Custom HUD Design
• Location: Top/Bottom, Left/Right
• Sizes: Compact / Medium / Large (desktop or mobile)
• Opacity control (25% default Apex styling)
How to Use
1. Load Sentinel on your chart.
2. Check the HUD:
• ATR(14): 2.6 → base volatility measure.
• x1.5 / x2.0 / x2.5 → instant SL levels for both long & short trades.
3. Before entering a trade → decide which multiplier matches your style (tight scalper vs wider swing).
4. Manually place your SL at the level displayed in the HUD.
Sentinel works as both:
• A pre-trade check (is ATR stop too wide for my RR?).
• A live risk compass (updated stop levels every bar).
Why Apex Sentinel?
Most ATR stop indicators clutter charts with lagging lines or repainting trails. Sentinel strips it back to what matters:
• The numbers.
• The risk levels.
• The context.
It’s a pure stop-loss HUD, designed for serious traders who want clarity, discipline, and instant reference points across any market or timeframe.
Notes
• This is a HUD-only system (no automatic SL line). Traders manually apply the SL level
shown in the panel.
• Defaults: ATR(14), multipliers 1.5 / 2.0 / 2.5. Adjust to your trading style.
• Best used on intraday pairs like XAUUSD, EURUSD, indices, but works universally.
Apex Edge Philosophy: Clean. Smart. Institutional.
No clutter. No gimmicks. Just precision tools for modern markets.
Fiery River Torgi### Description of the "Fiery River" (FR) Indicator
**Overview of the Indicator**
"Fiery River" (abbreviated as FR, with variants like "FR-Torg") is a technical indicator for TradingView, written in Pine Script version 6. It combines Fibonacci levels with exponential moving averages (EMAs) and standard deviations to dynamically plot support and resistance zones on price charts. The indicator calculates "effective close" prices based on candlestick bodies for better volatility representation, then derives levels using custom Fibonacci multipliers applied to deviations from the EMA midline. It supports multi-timeframe analysis by incorporating a secondary timeframe, making it ideal for traders analyzing trends, reversals, and extensions in various markets like forex or crypto. The name evokes a "fiery" stream of adaptive levels flowing across the chart. 🔥
**Key Features**
- **Level Construction**: Uses an EMA of the "effective close" price (derived from open/close max/min) and standard deviation to create a midline. Fibonacci levels are calculated by multiplying deviations with coefficients (e.g., 1.55, 1.89, 0.89), resulting in "long" and "short" lines. It plots 9 lines total: 5 for the primary timeframe (green, red, gray, black for shorts, and a midline) and 4 for the secondary timeframe (with transparency for distinction).
- **Color Scheme**: Green for weaker levels, red for stronger, gray for mid-range, and black for shorts/extensions.
- **Fills**: Adds green fills between level pairs to highlight potential trading zones, enhancing visual clarity.
- **Alerts**: Automatic notifications trigger when the price touches specific levels (e.g., "FM-Torgi green!" for the first green line), helping with timely signals.
- **Multi-Timeframe Support**: Pulls data from a secondary timeframe (e.g., daily while main is hourly) using `request.security`, allowing comparison across scales.
- **Customization**: Inputs for EMA periods (default 89), secondary timeframe, and multipliers for flexibility.
**How to Use**
1. Add the indicator to your TradingView chart via the "Indicators" menu.
2. Configure settings: Set EMA periods, choose a secondary timeframe (e.g., 'D' for daily), and adjust Fibonacci multipliers if needed.
3. Interpret levels: Use green/red zones for entries/exits, gray for mid-support, and shorts for extensions. Fills indicate high-probability areas.
4. Enable alerts for real-time notifications on level touches.
Best combined with other tools like RSI or volume for confirmation. It's suited for swing trading or scalping on volatile assets. 📈
**Advantages and Limitations**
- **Pros**: Highly adaptive to price movements, customizable, visually intuitive with fills and multi-timeframe depth. Efficient for identifying Fibonacci-based zones without manual drawing.
- **Cons**: Can clutter the chart with many lines if not managed; requires testing on different symbols as hardcoded multipliers may not fit all markets perfectly. Potential for false signals in sideways markets.
If you'd like me to expand on the code, suggest modifications, or provide examples, let me know! 😊
Nikkei PER Curve (EPS Text Area Input)
This indicator visualizes the PER levels of the Nikkei 225 based on the dates and EPS data entered in the text area.
By plotting multiple PER multiplier lines, it helps users to understand the following:
Potential support and resistance levels based on PER multipliers
Comparison between the current stock price and theoretical valuation levels
Observation of PER trends and detection of deviations from standard valuation levels
Trading Decisions:
When the stock price approaches a specific PER line, it can serve as a reference for support or resistance.
During intraday chart analysis, PER lines are drawn based on the most recent EPS, making them useful as reference levels even during market hours.
Valuation Analysis:
On daily charts, it helps to assess whether the Nikkei is overvalued or undervalued compared to historical levels, or to identify changes in valuation levels.
Risk Management:
The theoretical price lines based on PER can be used as reference points for stop-loss or profit-taking decisions.
Simple Data Input:
EPS data is entered in a text area, one line per date, in comma-separated format:
YYYY/MM/DD,EPS
YYYY/MM/DD,EPS
Multiple entries can be input by using line breaks between each date.
Note: Dates for which no candlestick exists in the chart will not be displayed.
This allows easy updating of PER lines without complex spreadsheets or external tools.
EPS Data Input: Manual input of date and EPS via the text area; supports multiple data entries.
PER Multiplier Lines:
For evenly spaced lines, simply set the central multiplier and the interval between lines. The indicator automatically generates 11 lines (center ±5 lines).
For non-even spacing or individual multiplier settings, you can choose to adjust each line.
Close PER Labels: Displays the PER of the close price relative to the current EPS.
Timeframe Limitation: Use on daily charts (1D) or lower. PER lines cannot be displayed on higher timeframes.
Label Customization: Allows adjustment of text size, color, and position.
EPS Parsing: The indicator reads the input text area line by line, splitting each line by a comma to obtain the date and EPS value.
Data Storage: The dates and EPS values are stored in arrays. These arrays allow the script to efficiently look up the latest EPS for any given date.
PER Calculation: For each chart bar, the indicator calculates the theoretical price for multiple PER multipliers using the formula:
Theoretical Price = EPS × PER multiplier
Line Plotting: PER lines are drawn at these calculated price levels. Labels are optionally displayed for the close price PER.
Date Matching: If a date from the EPS data does not exist as a candlestick on the chart, the corresponding PER line is not plotted.
PER lines are theoretical values: They serve as psychological reference points and do not always act as true support or resistance.
Market Conditions: Lines may be broken depending on market circumstances.
Accuracy of EPS Data: Be careful with EPS input errors, as incorrect data will result in incorrect PER curves.
Input Format: Dates and EPS must be correctly comma-separated and entered one per line. Dates with no corresponding candlestick on the chart will not be plotted. Incorrect formatting may prevent lines from displaying.
Reliability: No method guarantees success in trading; use in combination with backtesting and other technical analysis tools.
このインジケータは、入力した日付とEPSデータを基に日経225のPER水準を視覚化するものです
複数のPER倍率ラインを描画することで、以下を把握するのに役立ちます：
PER倍率に基づく潜在的なサポート・レジスタンス水準や目安
現在の株価と理論上の評価水準との比較
過去から現在までのPER推移の観察
トレード判断:
株価が特定の倍率のPERラインに近づいたとき、抵抗や支持の目安としての活用
日中足表示時は、前日(最新日)のEPSに基づいたPERラインを表示するように作成しているので、場中でも参考目安として使用可能
評価分析:
過去の推移と比較して日経が割高か割安か、またはPER評価水準が変化したかの確認
リスク管理:
PERに基づく理論価格ラインを、損切りや利確の目安としての利用
簡単なデータ入力:
EPSデータはテキストエリアに手動入力。1行につき1日付・EPSをカンマ区切りで記入します
例
2025/09/19,2492.85
2025/09/18,2497.43
行を改行することで複数データ入力が可能
注意: チャート上にローソク足が存在しない日付のデータは表示されません
表計算や外部ツールを使わずに倍率を掛けたPERラインの作成・更新が簡単に行える
PER倍率ライン:
等間隔ラインの場合、中心倍率と各ラインの間隔を設定するだけで、自動的に中心値±5本、計11本のラインを作成
等間隔以外や個別設定したい場合は で調整可能
終値PERラベル: 現在のEPSに対する終値PERを表示
時間足制限: 日足(1日足)以下で使用すること。高い時間足ではPERラインは表示できません
ラベルカスタマイズ: 文字サイズ、色、位置を調整可能
EPSデータの読み取り: 改行を検知し1日分のデータとして識別し、カンマで分割して日付とEPS値を取得
配列への格納: 日付とEPSを配列に格納し、各バーに対して最新のEPSを参照できるようにする
PER計算: 各バーに対して、以下の式で複数のPER倍率の理論価格を計算：
理論価格 = EPS × PER倍率
日付照合: EPSデータの日付がチャート上にローソク足として存在したら格納した配列からデータを取得。ローソク足が存在しない場合、そのPERラインは表示されない
ライン描画: 計算した価格にPERラインを描画。必要に応じて終値PERラベルも表示。
PERラインは理論値であり心理的目安として機能することがありますが、必ずしも機能する訳ではない
その為、過去の検証や他のテクニカル指標と併用推奨
市況によってはラインを無視するように突破する可能性ことがある
EPSデータの入力ミスに注意すること。誤入力するとPER曲線が誤表示される
日付とEPSの入力は1行ずつ、正しい位置でカンマ区切りをいれること
ローソク足が存在しない日付のデータは正しく表示されないことがあるので注意
誤った入力形式ではラインが表示されない場合がある
