FMA Pro v1.0Foxbrady Moving Average Pro - uses EMA for tick based charts and SMA for time based charts, automatically.
经济周期
Boxes & Lines### Boxes & Lines Indicator
This indicator overlays horizontal lines, vertical lines, and boxes on the chart to highlight user-defined sessions, opening prices, and specific times. It supports up to 10 customizable instances each for opening prices, time markers, and session ranges. The source code is protected to preserve the implementation details, but the functionality is designed to provide flexible visual aids for intraday analysis on timeframe.isintraday charts.
#### Purpose
The script allows traders to mark key intraday periods with visual elements such as price lines from session opens, dotted vertical lines at specific times, and boxed ranges with optional projections, mid-levels, equilibrium lines, and point counts. It uses a selected timezone to align elements accurately across different symbols.
#### How It Works
- **Custom Opening Prices (COP)**: Draws horizontal lines at the opening price of specified sessions, extending to the session end or a custom point. Each can be enabled individually with a session time and color.
- **Custom Times (CT)**: Places dotted vertical lines at user-defined times, extending across the chart height. Supports up to 10 with unique colors.
- **Custom Sessions (CS)**: Creates boxes for session ranges, updating dynamically with high/low extremes. Options include:
- Background and border colors with adjustable border width.
- Projections: Extends levels beyond the box based on session range (e.g., full range or half for anchored modes).
- Mid-levels: Short horizontal lines at halfway points between projections.
- Equilibrium (EQ) Line: A dotted line at the session midpoint, optionally extended to a custom end time.
- Point Count: Labels the session range in points (using syminfo.mintick).
- Anchoring: Optionally bases projections on a separate anchor time's open instead of the session's range.
The script uses functions like request.security_lower_tf() for minute-level data and custom string handling for session parsing. It resets visuals at session starts and updates in real-time during active sessions.
#### How to Use
1. Add the indicator to your chart.
2. In the inputs:
- Select a **Timezone** from the dropdown (default: UTC-4) to match your market.
- For each **Custom Opening Price (1-10)**: Enable "Show Custom Opening Price X", set the session (e.g., '0900-1400'), and choose a color.
- For each **Custom Time (1-10)**: Enable "Mark Custom Time X with Vertical Line", set the time (e.g., '0900-0905'), and choose a color.
- For each **Custom Session (1-10)**: Enable "Plot Custom Session X", set the session time (e.g., '0900-1700'), and configure:
- Background and border colors, border size.
- Number of projections (default: 3).
- Toggles for projections, mid-levels, EQ line, point label, and EQ extension.
- Optional anchoring with a separate anchor time.
3. Apply changes; visuals appear on intraday timeframes during or after specified sessions.
This indicator is original and intended as a tool for visualizing time-based structures. It does not generate signals or provide trading advice. Test on historical data to understand behavior on your symbols. Updates may include release notes for any changes.
Triple Close Indicator (TCI)Triple Close Indicator (TCI)
Overview:
The Triple Close Indicator (TCI) is a trend-following and entry signal tool designed to simplify market decision-making. Using a 50-period moving average (MA) as the primary trend filter, TCI identifies consecutive close patterns to generate high-probability bullish and bearish entry signals. Its clean design ensures minimal chart clutter while highlighting actionable points.
How It Works:
Trend Identification
The 50 MA is the core trend filter:
Price above 50 MA → bullish trend
Price below 50 MA → bearish trend
Signal Lines (Green/Red Lines)
Green Line: Marks every 3rd consecutive higher close
Red Line: Marks every 3rd consecutive lower close
Signal lines extend 6 bars forward for reference
Users can customize line width, transparency, and style (solid/dotted)
Entry Signals (Triangles)
Bullish Entry:
Green line above 50 MA → look for a candle closing above this line within the next configurable lookback window (default 5 bars)
Red line above 50 MA → if a candle closes above this line within the lookback window, bullish entry is triggered
Bearish Entry:
Red line below 50 MA → look for a candle closing below this line within the lookback window
Green line below 50 MA → if a candle closes below this line within the lookback window, bearish entry is triggered
Visuals
50 MA line – yellow, main trend filter
Signal lines – green/red with customizable width, transparency, and style
Entry triangles – lime for bullish, red for bearish
Alerts are available for real-time notifications
How to Use Effectively:
Trend Confirmation
Only take long entries above 50 MA and short entries below 50 MA
Avoid counter-trend entries to reduce false signals
Signal Validation
Wait for a candle close beyond the signal line to confirm the entry
Use the configurable lookback window to capture the most recent valid candle
Combine with Other Filters (Optional)
Use volume, ATR, or RSI to filter low-probability setups
Multi-timeframe analysis can enhance signal reliability
Alerts
Use built-in TradingView alerts for real-time execution
Customize messages for notifications on mobile, email, or webhook
Inputs & Customization:
MA Type & Length: Choose SMA, EMA, WMA, or VWMA for 50 MA
Signal Line Colors: Green (bullish), Red (bearish)
Line Width & Transparency: Adjust visual clarity
Line Style: Solid or Dotted
Lookback Window: Number of bars to check for valid entry after a signal line
Best Practices:
Use higher timeframes (1H, 4H, daily) for more reliable signals
Avoid trading in tight consolidation zones; the indicator works best in trending markets
Combine with risk management: define stop-loss below/above signal lines or ATR multiples
Daily Pivot Points - Fixed Until Next Day(GeorgeFutures)We have a pivot point s1,s2,s3 and r1,r2,r3 base on calcul matematics
Bitcoin Cycle History Visualization [SwissAlgo]BTC 4-Year Cycle Tops & Bottoms
Historical visualization of Bitcoin's market cycles from 2010 to present, with projections based on weighted averages of past performance.
-----------------------------------------------------------------
CALCULATION METHODOLOGY
Why Bottom-to-Bottom Cycle Measurement?
This indicator defines cycles as bottom-to-bottom periods. This is one of several valid approaches to Bitcoin cycle analysis:
- Focuses on market behavior (price bottoms) rather than supply schedule events (halving-to-halving)
- Bottoms may offer good reference points for some analytical purposes
- Tops tend to be extended periods that are harder to define precisely
- Aligns with how some traditional asset cycles are measured and the timing observed in the broader "risk-on" assets category
- Halving events are shown separately (yellow backgrounds) for reference
- Neither halving-based nor bottom-based measurement is inherently superior
Different analysts prefer different cycle definitions based on their analytical goals. This approach prioritizes observable market turning points.
Cycle Date Definitions
- Approximate monthly ranges used for each event (e.g., Nov 2022 bottom = Nov 1-30, 2022)
- Cycle 1: Jul 2010 bottom → Jun 2011 top → Nov 2011 bottom
- Cycle 2: Nov 2011 bottom → Dec 2013 top → Jan 2015 bottom
- Cycle 3: Jan 2015 bottom → Dec 2017 top → Dec 2018 bottom
- Cycle 4: Dec 2018 bottom → Nov 2021 top → Nov 2022 bottom
- Future cycles will be added as new top/bottom dates become firm
Duration Calculations
- Days = timestamp difference converted to days (milliseconds ÷ 86,400,000)
- Bottom → Top: days from cycle bottom to peak
- Top → Bottom: days from peak to next cycle bottom
- Bottom → Bottom: full cycle duration (sum of above)
Price Change Calculations
- % Change = ((New Price - Old Price) / Old Price) × 100
- Example: $200 → $19,700 = ((19,700 - 200) / 200) × 100 = 9,750% gain
- Approximate historical prices used (rounded to significant figures)
Weighted Average Formula
Recent cycles weighted more heavily to reflect the evolved market structure:
- Cycle 1 (2010-2011): EXCLUDED (too early-stage, tiny market cap)
- Cycle 2 (2011-2015): Weight = 1x
- Cycle 3 (2015-2018): Weight = 3x
- Cycle 4 (2018-2022): Weight = 5x
Formula: Weighted Avg = (C2×1 + C3×3 + C4×5) / (1+3+5)
Example for Bottom→Top days: (761×1 + 1065×3 + 1066×5) / 9 = 1,032 days
Projection Method
- Projected Top Date = Nov 2022 bottom + weighted avg Bottom→Top days
- Projected Bottom Date = Nov 2022 bottom + weighted avg Bottom→Bottom days
- Current days elapsed compared to weighted averages
- Warning symbol (⚠) shown when the current cycle exceeds the historical average
Technical Implementation
- Historical cycle dates are hardcoded (not algorithmically detected)
- Dates represent approximate monthly ranges for each event
- The indicator will be updated as the Cycle 5 top and bottom dates become confirmed
- Updates require manual code maintenance - not automatic
- Users should verify they're using the latest version for current cycle data
-----------------------------------------------------------------
FEATURES
- Background highlights for historical tops (red), bottoms (green), and halving events (yellow)
- Data table showing cycle durations and price changes
- Visual cycle boundary boxes with subtle coloring
- Projected timeframes displayed as dashed vertical lines
- Toggle on/off for each visual element
- Customizable background colors
-----------------------------------------------------------------
DISPLAY SETTINGS
- Show/hide cycle tops, bottoms, halvings, data table, and cycle boxes
- Customizable background colors for each event type
- Clean, institutional-grade visual design suitable for analysis
UPDATES & MAINTENANCE
This indicator is maintained as new cycle events occur. When Cycle 5's top and bottom are confirmed with sufficient time elapsed, the code and projections will be updated accordingly. Check for the latest version periodically.
OPEN SOURCE
Code available for review, modification, and improvement. Educational transparency is prioritized.
-----------------------------------------------------------------
IMPORTANT LIMITATIONS
⚠ EXTREMELY SMALL SAMPLE SIZE
Based on only 4 complete cycles (2011-2022). In statistical analysis, this is insufficient for reliable predictions.
⚠ CHANGED MARKET STRUCTURE
Bitcoin's market has fundamentally evolved since early cycles:
- 2010-2015: Tiny market cap, retail-only, unregulated
- 2024-2025: Institutional adoption, spot ETFs, regulatory frameworks, macro correlation
The environment that created past patterns no longer exists in the same form.
⚠ NO PREDICTIVE GUARANTEE
Historical patterns can and do break. Market cycles are not laws of physics. Past performance does not guarantee future results. The next cycle may not follow historical averages.
⚠ LENGTHENING CYCLE THEORY
Some analysts believe cycles are extending over time (diminishing returns, maturing market). If true, simple averaging underestimates future cycle lengths.
⚠ SELF-FULFILLING PROPHECY RISK
The halving narrative may be partially circular - it works because people believe it works. Sufficient changes in market structure or participant behavior can invalidate the pattern.
⚠ APPROXIMATE DATA
Historical prices rounded to significant figures. Exact bottom/top dates vary by exchange. Month-long ranges are used for simplicity.
EDUCATIONAL USE ONLY
This indicator is designed for historical analysis and understanding Bitcoin's past behavior. It is NOT:
- Trading advice or financial recommendations
- A guarantee or prediction of future price movements
- Suitable as a sole basis for investment decisions
- A replacement for fundamental or technical analysis
The projections show "what if the pattern continues exactly" - not "what will happen."
Always conduct independent research, understand the risks, and consult qualified financial advisors before making investment decisions. Only invest what you can afford to lose.
BTC Cycle Halving Thirds NicoThe bold black vertical lines are the INDEX:BTCUSD halvings.
The background speak for itself.
Time to be bearish?
Pi Cycle PersonalizadoYou can adjust it for any crypto asset to help identify each cycle’s peaks.
Example:
Cardano → Fast SMA: 150 Slow SMA: 350
Ethereum → Fast SMA: 250 Slow SMA: 625
Fib Retrace + Extensions (v6– safe version) v 1🌀 Fib Extension Plus Retracement Strategy: Complete Overview
📊 Purpose and Core Idea
The Fib Extension Plus Retracement Strategy is a hybrid price-action methodology that blends Fibonacci Retracement and Fibonacci Extension tools to map high-probability entry, exit, and target zones within trending markets.
It is designed for precision timing, measured risk exposure, and trend-continuation trading.
By uniting both retracement and extension logic, traders can capture the entire lifecycle of a move — from the pullback phase to the breakout and projected expansion wave.
Europe & US Session Highlighter
Bitcoin trading volumes peak during the Europe-US session overlap (13:30–17:00 UTC), driven by institutional activity and market news. This indicator helps traders:
- Focus on high-liquidity periods for better trade execution.
- Avoid low-volume, high-volatility periods outside major sessions.
- Plan entries and exits during Bitcoin’s most active hours.
How to Use:
- Apply the indicator to any Bitcoin intraday chart (e.g., 1M, 5M, 15M).
- Look for blue (London), green (NY), or purple (overlap) backgrounds to identify active sessions.
Daily High/Low/Mid (Prev Day Mid-vs-Next-Mid BG)it gives background depending upon previous day and next day midline.
4H + 15m Sell Signals It shows sell positions on the 15 min based on 4 hour ,imbalance, order block and swing high and low frameworks.
BTC Time CycleThis indicator helps track Bitcoin's historical four-year cycles by dividing time from market bottoms into Fibonacci-based segments, providing clear visual cues for potential bullish and bearish phases.
How It Works: This indicator overlays repeating Fibonacci-based time cycles onto weekly BTC charts , plotting vertical lines at key Fib ratios (0, 0.25, 0.382, 0.5, 0.618, 0.75, 1.0) to track cycle progress. Each cycle concludes at 1.0 and seamlessly resets as the next cycle's 0, capturing historical trough-to-trough intervals like those observed from 2018 to 2022. The week preceding the 0.75 Fibonacci ratio typically signals the cycle peak and bear market onset, transitioning through the final phase until 1.0 initiates a new cycle.
Disclaimer: This pattern has consistently repeated in past cycles, but financial markets are inherently unpredictable—it is not guaranteed to persist and remains valid only until disproven. Treat it as an analytical aid, not a predictive certainty.
This is merely a curiosity and is: True until it isn't™
MTF TR HelperThe “MTF TR Helper” is a TradingView indicator that displays TC888’s Time Rotation (TR) slots for the London and New York sessions. It’s designed for intraday traders who want precise timing references based on TC888’s method.
It marks expert-level (orange) and sweetspot (green) TR timings directly on the chart using small visual cues. These slots help identify potential points of interest during active market hours. The script is optimized for lower timeframes and automatically filters out markers on higher timeframes to reduce clutter.
Key Features:
• 🔶 Orange lines = Expert TR slots (per TC888)
• 🟢 Green lines = Sweetspot TR slots (per TC888)
• ⚪ Dots = Hourly rotation points, including new 4-hour bars
• 📈 Works best on 1m and 5m charts; adapts visibility based on timeframe
• 🕒 Built on London and New York time zone references
This tool follows the timing logic of TC888, offering a clean and practical way to stay aligned with key session-based rotations.
Daily High/Low/Mid (Prev Day Extended Split + VWAP BG) it will tell you market bias with the help of vwap and previous day middle line
Pops Master Overlay -Soft Cloud + EMA 5/20/200 + EMA 13/48/200 ⚙️ SETUP & PURPOSE
This indicator combines everything you and I built into one clean, eye-friendly suite:
Soft Cloud Bands for volatility & trend confirmation
Bollinger & Keltner “Squeeze” logic for compression signals
Two EMA families for short-term vs. momentum trend
VWAP toggle for intraday equilibrium reference
🧭 QUICK START
Apply to Chart
Add the script (overlay=true) — works best on 2-minute to daily timeframes.
Choose Theme
Default: Graphite Gray (gentle and easy on the eyes)
You can switch to Soft Teal or Smoke Blue in settings.
Adjust Cloud
“Show Cloud Fill” → toggles the soft volatility zone
“Cloud Transparency” → 92–96 = softer background
“Show Background Tint” → adds a barely visible page hue
🧠 EMA SYSTEMS (Your Two Trading Views)
🔹 Set A – 5 / 20 / 200 EMA
Purpose: Fast, reactive, perfect for momentum & scalp entries
EMA 5 → micro trend (very short-term speed)
EMA 20 → intraday rhythm
EMA 200 → master bias line (above = bullish, below = bearish)
Usage Tip:
When EMA 5 crosses above EMA 20 while price is above the 200, that’s your “early push” confirmation.
Reverse for short bias.
➡ Toggle visibility:
Settings → EMA Set A → turn each one on/off individually.
🔹 Set B – 13 / 48 / 200 EMA
Purpose: Slower, smoother, designed for swing trades & trend filtering
EMA 13 → trend guide
EMA 48 → intermediate momentum
EMA 200 → long-term direction
Usage Tip:
Look for 13 > 48 > 200 stacking for clean, trending structure.
If they’re twisted together, it’s chop — step aside.
➡ Toggle visibility:
Settings → EMA Set B → turn each one on/off individually.
You can run both sets at once to compare momentum vs. structure.
💥 SQUEEZE ZONE
Red dots appear when Bollinger Bands are inside Keltner Channels → low volatility (squeeze forming).
Green dots appear when the squeeze releases → breakout conditions.
💡 Combine this with your EMAs:
If the squeeze releases while both EMA sets align bullishly, it’s often your best breakout timing.
🧮 VWAP
Toggle “Show VWAP (intraday)” to anchor your price bias around session mean value.
Price above VWAP = buyers control; below = sellers control.
👁️ RECOMMENDED SETTINGS
Setting Recommended
Cloud Theme Graphite Gray
Cloud Transparency 92–96
Band Lines Transparency 45
EMA Lines Set A for Day Trading, Set B for Swing
Squeeze Dots ON for momentum confirmation
🕹️ TIPS FOR TOGGLING EMAs
To switch quickly:
Open gear ⚙️ → scroll to “EMA Set A” or “EMA Set B.”
Turn off the ones you don’t want.
You can rename colors in settings to keep them separate (e.g., Green/Gold for A, Lighter Green/Gold for B).
Visual layering trick:
Run Set A (solid) for live momentum.
Run Set B (faint) to see long-term structure behind it.
🌤️ POPS RULE OF THUMB
“When both EMA sets line up, the squeeze releases, and price rides above the cloud —
that’s not a maybe… that’s a momentum wave.”
SSA - Sentiment💠 SSA Sentiment – The Most Accurate Trading Calculator Ever Created
SSA Sentiment is a next-generation trading indicator built to capture the true emotion of the markets — fear, greed, and momentum — and convert them into precise trading signals. Combining advanced sentiment analysis, price action dynamics, and algorithmic intelligence, SSA Sentiment delivers unparalleled accuracy in identifying buy and sell opportunities across crypto, forex, stocks, and indices.
At its core lies the world’s most accurate trading calculator, a powerful analytical engine that measures real-time trader sentiment, market volume, and volatility to forecast movements before they happen. SSA Sentiment decodes what the market is feeling — and shows you exactly how to act.
⚙️ Key Features
AI Sentiment Engine – Tracks market psychology and trader positioning to reveal hidden trends.
Ultra-Accurate Trading Calculator – Computes ideal entry, take-profit, and stop-loss levels dynamically.
Multi-Timeframe Synchronization – Confirms signals across multiple timeframes for ultimate precision.
Smart Alerts – Instantly notifies you of sentiment reversals and potential breakout zones.
Clean, Intuitive Interface – Designed for all trading styles, from scalping to swing and long-term analysis.
💹 Why Traders Choose SSA Sentiment
SSA Sentiment doesn’t just analyze the market — it reads the crowd’s emotions. By combining sentiment data with technical accuracy and AI forecasting, it empowers traders to enter with confidence and exit with precision.
⚡ Trade the Market’s Mood — Trade with SSA Sentiment.
SSA- Statistics💠 SSA Statistics – The Most Accurate Trading Calculator Ever Created
SSA Statistics is a groundbreaking trading indicator engineered for traders who demand absolute precision. Powered by advanced mathematical algorithms and real-time statistical analysis, SSA Statistics identifies the most reliable buy and sell opportunities across crypto, forex, stocks, and indices with unmatched accuracy.
At the heart of this system lies the world’s most accurate trading calculator, built to compute price movements, volatility shifts, and trend probabilities with scientific precision. Using statistical modeling, wave theory, and AI-driven predictive analytics, SSA Statistics transforms raw market data into crystal-clear, actionable insights.
⚙️ Key Features
Precision Trading Calculator – Accurately calculates entry, exit, and stop-loss levels in real time.
Advanced Statistical Engine – Uses data probability, mean reversion, and volatility metrics to forecast price behavior.
Multi-Timeframe Synchronization – Aligns lower and higher timeframe signals for perfect confirmation.
Smart Alerts & Auto Updates – Detects trend reversals and sends alerts before major market shifts.
Professional Yet Simple Interface – Designed for both beginners and expert traders who value clean, data-driven visuals.
💹 Why Traders Trust SSA Statistics
SSA Statistics doesn’t just follow trends — it analyzes, predicts, and adapts to the market’s next move. By combining statistical intelligence with AI refinement, it empowers traders with consistent accuracy, confidence, and clarity in every trade.
⚡ Master the Markets with SSA Statistics — Where Precision Meets Profit.
ANRF++(RSI+MACD+OBV+VR+CCL 自适应融合)· 不重绘ANRF++ is a five-factor adaptive oscillator that fuses RSI, MACD, OBV, VR (Volume Ratio), and CCL (CLV→ADL momentum) into one clean signal. It’s designed to cut noise on lower timeframes while remaining responsive in trends.
How it works (simple)
Each factor is normalized to (MACD/OBV/CCL use z-scores; RSI uses a centered scale; VR is mapped with a ratio transform).
A smooth tanh compression reduces spikes.
Adaptive weights are applied: weight ∝ |score|^p, then re-normalized.
→ Strong, consistent signals get more influence; weak/noisy signals get down-weighted.
The fused line (ANRF, range −1..1) is plotted with:
Deadband (entry filter)
Overbought/Oversold zones (±extLevel)
Signals
Long: ANRF crosses up through +deadband
Short: ANRF crosses down through −deadband
Optional markers when entering Overbought/Oversold.
Built-in alerts for all of the above.
Key Inputs
Factor windows: RSI length, MACD (fast/slow/signal), OBV Δ window, VR window, CCL window.
Fusion controls: base weights per factor, p-exponent, smoothing.
Deadband (signals) and Overbought/Oversold threshold (zones).
Optional display of component scores for tuning.
Notes
Non-repainting (no lookahead/security repainting).
Works on any market/timeframe; for scalping, use a higher deadband and larger p; for strong trends, lower them slightly.
Best used as a direction/quality filter alongside your execution rules (risk management required).
KI-StageSpot V1KI-StageSpot V1 is a stage analysis and base-tracking tool. It overlays key moving averages, highlights crossovers, and marks base highs, lows, and breakouts on weekly charts. It also shows depth and duration stats for each base with customizable labels, alerts, and styling options.
Settings :
1. Start Date → Select manually:
-->> Either post Stage 1 lockout rally
-->> Or 1 week before Stage 2’s first base
2. End Date → Choose up to the point you want to review (for back testing).
3. Label View → Pick between:
-->> Compact view
-->> Expanded view
4. Alert Levels → Helps in identifying faulty bases (can be changed)
Ichimoku PourSamadi Signal [TradingFinder] KijunSen Magic Number🔵 Introduction
The Ichimoku Kinko Hyo system is one of the most comprehensive market analysis tools ever created. Developed by Goichi Hosoda, a Japanese journalist in the 1930s, its purpose was to allow traders to recognize the balance between price, time, and momentum at a single glance. (In Japanese, Ichimoku literally means “one look.”)
At the core of the system lie five key components: Tenkan-sen (Conversion Line), Kijun-sen (Baseline), Chikou Span (Lagging Line), and the two leading spans, Senkou Span A and Senkou Span B, which together form the well-known Kumo or cloud representing both temporal structure and equilibrium zones in the market.
Although Ichimoku is commonly used to identify trends and support/resistance levels, a deeper layer of time philosophy exists within it. Ichimoku was not designed solely for price analysis but equally for time analysis.
In the classical model, the numerical cycles 9, 26, 52 reflect the natural rhythm of the market originally based on the Tokyo Stock Exchange’s trading schedule in the 1930s.
These values repeat across the system’s calculations, forming the foundation of Ichimoku’s time symmetry where price and time ultimately seek equilibrium.
In recent years, modern analysts have explored new approaches to extract time-based turning points from Ichimoku’s structure. One such approach is the analysis of flat segments on the Kijun-sen and Senkou B lines.
Whenever one of these lines remains flat for a period, it signals temporary balance between buyers and sellers; when the flat breaks, the market exits equilibrium and a new cycle begins.
This indicator is built precisely upon that philosophy. Following the timing methodology introduced by M.A. Poursamadi, the focus shifts away from price signals and line crossovers toward identifying flat periods on Kijun-sen (period 52) as time anchors.
From the first candle that changes the line’s slope, the tool begins a temporal count using a fixed sequence of key numbers: 5, 9, 13, 17, 26, 35, 43, 52, 63, 72, 81, 90.
Derived from both classical Ichimoku cycles and empirical testing, these numbers mark potential timing nodes where a market wave may end, a correction may begin, or a new leg may form.
Thus, this method serves not merely as another Ichimoku tool but as a temporal metronome for market structure a way to visualize moments when the market is ready to change rhythm, often before candles reveal it.
🔵 How to Use
The Kijun Timing BoX is built entirely on Ichimoku’s concept of time analysis.
Its core idea is that within every flat segment of the Kijun-sen, the market enters a temporary balance between opposing forces.
When that flat breaks, a new time cycle begins. From that first breakout candle, the indicator starts counting forward through the predefined time sequence(5, 9, 13, 17, 26, 35, 43, 52, 63, 72, 81, 90).
This counting framework creates a temporal map of market behavior, where each number represents an area where meaningful price fluctuations often occur.
A “meaningful fluctuation” does not necessarily imply reversal or continuation; rather, it marks a moment when the market’s internal energy balance shifts, typically visible as noticeable reactions on lower timeframes.
🟣 Identifying the Anchor Point
The first step is recognizing a valid flat zone on the Kijun-sen.
When this line remains flat for several candles and then changes slope, the indicator marks that bar as the Anchor, initiating the time count.
From that point onward, vertical gray lines appear at each interval in the key-number sequence, visualizing the time nodes ahead.
🟣 Reading the Timing Lines
Each numbered line represents a timing node a temporal point where a change in price rhythm is statistically more likely to occur.
At these nodes, the market may :
Enter a consolidation or minor correction phase.
Develop range-bound movement.
Or simply alter the speed and intensity of its move.
These behaviors do not imply a specific direction; they only highlight zones where time-based activity tends to cluster, giving traders a clearer view of cyclical rhythm.
🟣 Applying Time Analysis
The indicator’s primary use is to observe temporal order, not to predict price direction.
By tracking the distance between Anchors and the reactions that appear near major timing lines, traders can empirically identify each market’s characteristic rhythm—its own time DNA.
For example, one asset may consistently show significant fluctuations around the 13- and 26-bar marks,while another might react closer to 9 or 52. Recognizing such patterns helps traders understand how long typical cycles last before new phases of volatility emerge.
🟣 Combining with Other Tools
The indicator does not generate buy/sell signals on its own.
Its best use is in combination with price- or structure-based methods, to see whether meaningful price reactions occur around the same timing nodes.
In practice, it helps distinguish structured time-based fluctuations from random, noise-driven moves an insight often overlooked in conventional market analysis.
🔵 Settings
🟣 Logical Settings
KijunSen Period : Defines the baseline period used for timing analysis. Default = 52. It is the main line for detecting flats and generating time anchors.
Flat Event Filter : Controls how flat segments are validated before triggering a new timing event.
All : Every flat triggers a new Timing Box.
Automatic : Only flats longer than the historical average are used (recommended).
Custom : User manually defines the minimum flat length via Custom Count.
Update Timing Analysis BoX Per Event : If enabled, a new Timing Box is drawn each time a new flat event occurs. If disabled, the box completes its 90-bar window before refreshing.
🟣 Ichimoku Settings
TenkanSen Period : Defines the period for the Conversion Line (Tenkan-sen). Default = 9.
KijunSen Period : Sets the standard Ichimoku baseline (not the timing line). Default = 26.
Span B Period : Defines the period for Senkou Span B, the slower cloud boundary. Default = 52.
Shift Lines : Offsets cloud projection into the future. Default = 26.
🟣 Display Settings
Users can show or hide all Ichimoku lines Tenkan-sen, Kijun-sen, Chikou Span, Span A, and Span B as well as the Ichimoku Cloud.
They can also customize the color of each element to match personal chart preferences and improve visibility.
🔵 Conclusion
This analytical approach transforms Ichimoku’s time philosophy into a visual and measurable framework. A flat Kijun-sen represents a moment of market equilibrium; when its slope shifts, a new temporal cycle begins.
The purpose is not to forecast price direction but to highlight periods when meaningful fluctuations are more likely to develop.
Through this perspective, traders can observe the hidden rhythm of market time and expand their analysis beyond price into a broader time-cycle dimension.
Ultimately, the method revives Ichimoku’s original principle: the market can only be truly understood through the simultaneous harmony of price, time, and balance.
50 SMA 5-Candle Crossover50 SMA 5-Candle Crossover. Testing out. Not for trading but for investing. HOLD