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Quarterly Theory Cycles + Alerts (Weekly/Daily/90-Minute Cycles)Quarterly Theory Cycles (90m • Daily • Weekly)
Purpose
Built for Quarterly Theory. This indicator maps repeating quarters across three rhythms—90-minute, Daily, and Weekly (18:00 NY → 18:00 NY)—so you can track where price is within the current quarter and how it reacts to the previous quarter’s high/low.
Quarter Structure
90-Minute Quarters
Labels:Q1 / Q2 / Q3 / Q4
Sessions: Asia, London, NY, PM (each split into four 90-minute quarters).
Daily Quarters
Labels: [D-Q1 / D-Q2 / D-Q3 / D-Q4
Windows (America/New_York):
D-Q1: 18:00–00:00
D-Q2: 00:00–06:00
D-Q3: 06:00–12:00
D-Q4: 12:00–18:00
Weekly Quarters
Labels: W-Q1 / W-Q2 / W-Q3 / W-Q4
Trading days defined 18:00 NY → 18:00 NY (DST-aware).
W-Q1 = Monday, W-Q2 = Tuesday, W-Q3 = Wednesday, W-Q4 = Thursday
Friday intentionally excluded (no W-Q5) to preserve theory behavior.
Use for higher-timeframe context and weekly narrative (e.g., expansion vs. distribution days).
What It Draws
Live, extending range boxes for the active quarter (H/L updates in real time).
Stored previous quarter’s high/low for each rhythm (90m, Daily, Weekly).
Alerts (Quarterly Theory-friendly )
Fires when price first breaks the previous quarter’s high/low:
90m: “Previous 90min cycle (…) high/low broken”
Daily: “Previous daily cycle (…) high/low broken”
Weekly: “Previous weekly cycle (…) high/low broken”
One alert per side per new quarter—clean signals for liquidity grabs or SSMTs.
Customization
Master Toggles: Show/hide Asia, London, NY, PM, Daily, Weekly blocks fast.
Independent Transparencies: Separate opacity sliders for 90m vs Daily vs Weekly.
Per-Quarter Controls: Toggle range, edit label (defaults already set to Q1 / D-Q1 / W-Q1 formats), and color.
Styling: Optional outlines and labels for minimal or annotated charts.
Time Zones: Use exchange time or a custom UTC offset for session windows. Weekly boundaries always use America/New_York at 18:00.
Notes
Designed for theory workflows: prior-quarter liquidity, session rotation, and narrative alignment, SSMTS.
Friday is excluded from Weekly quarters by design.
Indicator draws ranges and triggers alerts; it does not place trades.
kiss and flay strategyfor more details contact us on telegram , this is trend following strategy , you can trade in 3&5 min time frame in all segments
SANGAM ENTRYThis setup is highly effective in helping traders catch entries before a major move begins. When all the LINES converge and merge together, it signals an opportunity to take buy or sell entries with low risk and high reward. It serves as one of the best confirmations for both trend continuation and breakout trades. Many traders can benefit from this approach, as it is absolutely simple, practical, and easy to manage when planning their entries.
OHLC Session ProjectorOHLC Session Projector
Clean, session-aware OHLC levels — projected to a right-side rail for instant context.
Define up to four intraday sessions (chart timezone). While a session is live, the indicator draws a right-offset rail with O/H/L/C ticks and tiny labels, keeping price candles uncluttered. When the session closes, values freeze and the entire block (rail + ticks + labels, and optionally the box) is projected to the right by a user-set distance for crystal-clear levels.
Why traders use it
Fast read of intraday structure. See each session’s opening print, the true extremes, and settlement at a glance.
Clarity during the session. Live rail shifts to the right so bars stay clean.
Consistent post-session levels. Projected rails mark where reactions tend to happen next session.
Key features
Sessions: Up to 4 custom time ranges (uses chart timezone).
Right-rail projector:
Vertical rail spanning session H↔L
Ticks: O/C (solid), H/L (dashed)
Labels: O/H/L/C with optional price, offset to the right
Live Clean Mode: Shift the live rail by N bars to the right (configurable).
Session Box (optional): With separate live vs final styling (fade while live, solid when closed).
Projection: After session close, freeze values and project rail + ticks + labels + box to the right by extendBars.
Styling controls: Colors, widths, tick lengths, label offset.
No repainting of closed values: H/L/O/C are finalized at session end. (During the session, H/L/C update in real time—as expected.)
How it works
While in session, the script tracks O/H/L/C, draws a right-offset rail and ticks, and updates labels live.
On session close, values are frozen and the whole rail block is repositioned to the projected location.
Accumulation → Manipulation → Distribution (AMD
The graphic shows a common intraday sequence across sessions:
Accumulation blue : price ranges and builds liquidity.
Manipulation red : a quick sweep/false break as sessions hand off.
Distribution green : the real directional move that follows.
How the OHLC Session Projector helps
Projects each session’s Open/High/Low/Close to a clean right-side rail, so you can see when manipulation sweeps prior O/H/L and where distribution is likely to run.
Freezes levels at session close and carries them forward as targets (retests of Open, runs to High/Low).
“Live Clean” keeps rails offset during the session, letting you track AMD without clutter while price is developing.
Credits & disclaimer
Built for educational purposes. Not financial advice. Trade responsibly.
FibPulse144 [CHE] FibPulse144 — ADX-gated 13/21 crossover with 144-trend regime and closed-bar labels
Summary
FibPulse144 combines a fast moving-average crossover with a 144-period trend regime and an ADX strength gate. Signals are confirmed on closed bars only and drawn as labels on the price chart, while an ADX line in a separate pane provides context. Color gradients are derived from normalized ADX, so visual intensity reflects trend strength without changing the underlying logic. The approach reduces false flips during weak conditions and keeps entries aligned with the dominant trend.
Motivation: Why this design?
Traditional crossover signals can flip repeatedly during sideways phases and often trigger against the higher-time regime. By requiring alignment with a slower trend proxy and by gating entries through a rising ADX condition, FibPulse144 favors structurally cleaner transitions. Gradient coloring communicates strength visually, helping users temper aggressiveness without additional indicators.
What’s different vs. standard approaches?
Baseline: Classic dual-MA crossover with unconditional signals.
Architecture differences:
Two-bar regime confirmation against a 144-period trend average.
Pending-signal logic that waits for regime and optional ADX approval.
ADX strength gate using the prior reading relative to a user threshold and earlier value.
Gradient colors scaled by an ADX window with gamma controls.
Price-chart labels enforced via overlay on an otherwise pane-based indicator.
Practical effect: Fewer signals during weak or choppy conditions, labels that appear only after a bar closes, and color intensity that mirrors trend quality.
How it works (technical)
The script computes fast and slow moving averages using the selected method and lengths. A separate 144-length average defines the regime using a two-bar confirmation above or below it. Crossovers are observed on the previous bar to avoid intrabar ambiguity; once a prior crossover is detected, it is stored as pending. A pending long requires regime alignment and, if enabled, an ADX condition based on the previous reading being above the threshold and greater than an earlier reading. The state machine holds neutral, long, or short until an exit condition or ADX reset is met. ADX is normalized within a user window, scaled with gamma, and mapped to up and down color palettes to render gradients. Labels on the price panel are forced to overlay, while the ADX line and threshold guide remain in a separate pane.
Parameter Guide
Source — Input data for all calculations. Default: close. Tip: keep consistent with your chart.
MA Type — EMA or SMA. Default: EMA. EMA reacts faster; SMA is smoother.
Fast / Slow — Fast and slow lengths for crossover. Defaults: 13 and 21. Shorter reacts earlier; longer reduces noise.
Trend — Regime average length. Default: 144. Larger values stabilize regime; smaller values increase sensitivity.
Use 144 as trend filter — Enables regime gating. Default: true. Disable to allow raw crossovers.
Use ADX filter — Requires ADX strength. Default: true. Disable to allow signals regardless of strength.
ADX Len — DI and ADX smoothing length. Default: 14. Higher values smooth strength; lower values react faster.
ADX Thresh — Minimum strength for signals. Default: 25. Raise to reduce flips; lower to capture earlier moves.
Entry/Exit labels (price) — Price-panel labels on state changes. Default: true.
Signal labels in ADX pane — Small markers at the ADX value on entries. Default: true.
Label size — tiny, small, normal, large. Default: normal.
Enable barcolor — Optional candle tint by regime and gradient. Default: false.
Enable gradient — Turns on ADX-driven color blending. Default: true.
Window — Bars used to normalize ADX for colors. Default: 100; minimum: 5.
Gamma bars / Gamma plots — Nonlinear scaling for bar and line intensities. Default: 0.80; between 0.30 and 2.00.
Gradient transp (0–90) — Transparency for gradient colors. Default: 0.
MA fill transparency (0–100) — Fill opacity between fast and slow lines. Default: 65.
Palette colors (Up/Down) — Dark and neon endpoints for up and down gradients. Defaults as in the code.
Reading & Interpretation
Fast/Slow lines: When the fast line is above the slow line, the line and fill use the long palette; when below, the short palette is used.
Trend MA (144): Neutral gray line indicating the regime boundary.
Labels on price: “LONG” appears when the state turns long; “SHORT” when it turns short. Labels appear only after the bar closes and conditions are satisfied.
ADX pane: The ADX line shows current strength. The dotted threshold line is the user level for gating. Optional small markers indicate entries at the ADX value.
Bar colors (optional): Candle tint intensity reflects normalized ADX. Higher intensity implies stronger conditions.
Practical Workflows & Combinations
Trend following: Use long entries when fast crosses above slow and price has held above the trend average for two bars, with ADX above threshold. Mirror this for shorts below the trend average.
Exits and stops: Consider reducing exposure when price closes on the opposite side of the trend average for two consecutive bars or when ADX fades below the threshold if the ADX filter is enabled.
Structure confirmation: Combine with higher-timeframe structure such as swing highs and lows or a simple market structure overlay for confirmation.
Multi-asset/Multi-TF: Works across liquid assets. For lower timeframes, consider a slightly lower ADX threshold; for higher timeframes, maintain or raise the threshold to avoid unnecessary flips.
Behavior, Constraints & Performance
Repaint/confirmation: Signals are based on previous-bar crossovers and are confirmed on bar close. No higher-timeframe or security calls are used. Intrabar markers are not relied upon.
Resources: The script declares `max_bars_back` of 2000, uses no loops or arrays, and employs persistent variables for pending signals and state.
Known limits: Crossover systems can lag after sudden reversals. During tight ranges, disabling the ADX filter may increase flips; keeping it enabled may skip early transitions.
Sensible Defaults & Quick Tuning
Starting point: EMA, 13/21/144, ADX length 14, ADX threshold 25, gradients on, barcolor off.
Too many flips: Increase ADX threshold or length; increase trend length; consider SMA instead of EMA.
Too sluggish: Lower ADX threshold slightly; shorten fast and slow lengths; reduce the trend length.
Colors overpowering: Increase gradient transparency or reduce gamma values toward one.
What this indicator is—and isn’t
This is a visualization and signal layer that combines crossover, regime, and strength gating. It does not predict future movements, manage risk, or execute trades. Use it alongside clear structure, risk controls, and a defined position management plan.
Disclaimer
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts.
Best regards and happy trading
Chervolino
Quarter Strength Table (3M) [CHE] Quarter Strength Table (3M) — quarterly seasonality overview for the current symbol
Is there seasonality in certain assets? Some YouTubers claim there is—can you test it yourself?
Summary
This indicator builds a compact table that summarizes quarterly seasonality from three-month bars. It aggregates the simple return of each historical quarter, counts observations, computes the average return and the win rate for each quarter, and flags the historically strongest quarter. The output is a five-column table rendered on the chart, designed for quick comparison rather than signal generation. Because it processes only confirmed higher-timeframe bars, results are stable once a quarter has closed.
Motivation: Why this design?
Seasonality tools often mix intraperiod estimates with live bars, which can lead to misleading flips and inconsistent statistics. The core idea here is to restrict aggregation to completed three-month bars only and to deduplicate events by timestamp. This avoids partial information and double counting, so the table reflects a consistent, closed-bar history.
What’s different vs. standard approaches?
Baseline: Typical seasonality studies that compute monthly or quarterly stats directly on the chart timeframe or update on live higher-timeframe bars.
Architecture differences:
Uses explicit higher-timeframe requests for open, close, time, and calendar month from three-month bars.
Confirms the higher-timeframe bar before recording a sample; deduplicates by the higher-timeframe timestamp.
Keeps fixed arrays of length four for the four quarters; renders a fixed five-by-five table with zebra rows.
Practical effect: Once a quarter closes, counts and averages are stable. The “Best” column marks the highest average quarter so you can quickly identify the historically strongest period.
How it works (technical)
On every chart bar, the script requests three-month open, close, time, and the calendar month derived from that bar’s time. When the three-month bar is confirmed, it computes the simple return for that bar and maps the month to a quarter index between zero and three. A guard stores the last seen three-month timestamp to avoid duplicate writes. Per quarter, it accumulates the sum of returns, the number of samples, and the number of positive samples. From these, it derives average return and win rate. The table header is created once on the first bar; content updates only on the last visible chart bar for efficiency. No forward references are used, and lookahead is disabled in all higher-timeframe requests to avoid peeking.
Parameter Guide
Percent — Formats values as percentages. Default: true. Trade-off: Easier visual comparison; disable if you prefer raw unit returns.
Decimals — Number of digits shown. Default: two. Bounds: zero to six. Trade-off: More digits improve precision but reduce readability.
Show table — Toggles table rendering. Default: true. Trade-off: Disable when space is limited or for batch testing.
Reading & Interpretation
The table shows rows for Q1 through Q4 and columns for Count, Avg Ret, P(win), and Best.
Count: Number of completed three-month bars observed for that quarter.
Avg Ret: Average simple return across all samples in that quarter.
P(win): Share of samples with a positive return.
Best: An asterisk marks the quarter with the highest average return among those with at least one sample.
Use the combination of average and win rate to judge both magnitude and consistency. Low counts signal limited evidence.
Practical Workflows & Combinations
Trend following filter: Favor setups when the upcoming or active quarter historically shows a positive average and a stable win rate. Combine with structure analysis such as higher highs and higher lows to avoid fighting dominant trends.
Exits and risk: When entering during a historically weak quarter, consider tighter risk controls and quicker profit taking.
Multi-asset and multi-timeframe: The default settings work across most liquid symbols. For assets with sparse history, treat results as low confidence due to small sample sizes.
Behavior, Constraints & Performance
Repaint and confirmation: Aggregation occurs only when the three-month bar is confirmed; values do not change afterward for that bar. During an open quarter, no new sample is added.
Higher-timeframe usage: All higher-timeframe requests disable lookahead and rely on confirmation to mitigate repaint.
Resources: Declared `max_bars_back` is two thousand. Arrays are fixed at length four. The script updates the table only on the last visible bar to reduce work.
Known limits: Averages can be affected by outliers and structural market changes. Limited history reduces reliability. Corporate actions and contract rolls may influence returns depending on the symbol’s data source. This is a visualization and not a trading system.
Sensible Defaults & Quick Tuning
Starting values: Percent true; Decimals two; Show table true.
If numbers feel noisy: Decrease decimals to one to reduce visual clutter.
If you need raw values: Turn off Percent to display unit returns.
If the table overlaps price: Toggle Show table off when annotating, or reposition via your chart’s table controls.
What this indicator is—and isn’t
This is a historical summary of quarterly behavior. It visualizes evidence and helps frame expectations. It is not predictive, does not generate trade signals, and does not manage positions or risk. Always combine with market structure, liquidity considerations, and independent risk controls.
Inputs with defaults
Percent: true, boolean.
Decimals: two, integer between zero and six.
Show table: true, boolean.
Pine version: v6
Overlay: true
Primary outputs: Table with five columns and five rows.
Metrics/functions used: Higher-timeframe data requests, table rendering, arrays, bar state checks, month mapping.
Special techniques: Closed-bar aggregation, deduplication by higher-timeframe timestamp, zebra row styling.
Performance/constraints: Two thousand bars back, small fixed loops, higher-timeframe requests without lookahead.
Compatibility/assets/timeframes: Works on time-based charts across most assets with sufficient history.
Limitations/risks: Sample size sensitivity, regime shifts, data differences across venues.
Debug/diagnostics: (Unknown/Optional)
Disclaimer
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts.
Best regards and happy trading
Chervolino
Vertical Lines at 10:00 & 11:30Sales-Style Description
This script is a simple but powerful TradingView add-on that automatically marks your chart with clear, bold vertical lines at exactly 10:00 AM and 11:30 AM every day. No more manually drawing lines or setting reminders — it does the work for you.
Always on time: It tracks the market clock in real-time and drops a line the moment your chart hits those times.
Clean visibility : The lines are bright blue (#2962FF), solid, and drawn with thickness level 3, so they stand out against any background or chart theme.
Automatic housekeeping: It keeps your workspace clean by automatically deleting old lines once you reach a set limit, so your chart never gets cluttered.
Customizable : You can change the time zone, thickness, and the number of days’ worth of lines to keep.
Set it and forget it: Once added to your chart, it runs quietly in the background — you’ll always know when the 10:00 and 11:30 sessions hit without lifting a finger.
Wyckoff PhaseMap Overlay [FxalgoxPro]📊 Wyckoff PhaseMap Overlay
Professional Wyckoff Market Cycle Indicator for TradingView
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🎯 OVERVIEW
The Wyckoff PhaseMap Overlay is a sophisticated indicator that automatically identifies and visualizes the four phases of the Wyckoff Market Cycle on your price chart, combining price action analysis with volume confirmation to detect:
Phase 1: Accumulation (Cause)
Phase 2: Mark Up (Effect)
Phase 3: Distribution (Cause)
Phase 4: Mark Down (Effect)
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🔑 KEY FEATURES
📈 Phase Detection
Accumulation : Identifies selling climax (SC), automatic rally (AR), secondary tests (ST), and springs
Mark Up : Detects sustained uptrend with higher highs/higher lows structure
Distribution : Recognizes buying climax (BC), UTAD (upthrust after distribution), and range formation
Mark Down : Confirms breakdown with volume and downtrend structure
🎨 Visual Elements
Phase Background Colors : Optional color-coded backgrounds for each phase
Range Lines : Dynamic support/resistance levels during accumulation and distribution
Event Markers : Clear labels for Spring, UTAD, JTC (Jump the Creek), and breakdowns
Trend MA Overlay : Moving average for trend confirmation
Phase Labels : Large, descriptive labels when phases change
📊 Dashboard
Real-time phase status
Volume climax indicator
Event counters (Spring, UTAD, JTC)
Customizable position and size
🔔 Alerts
Phase change notifications
Spring detection
UTAD detection
Jump the Creek confirmation
Breakdown signals
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⚙️ CONFIGURATION
Wyckoff Phases (Main Settings)
Parameter | Default | Description
---------------------------- | ------- | -------------
Trend MA Length | 50 | Moving average for trend detection
Volume Climax Threshold | 1.5 | Multiplier for average volume to detect climax events
Range Detection Length | 14 | Lookback period for range identification
Phase 1: Accumulation
Toggle accumulation phase display
Show/hide Spring events
Show/hide AR (Automatic Rally) and ST (Secondary Test)
Customize phase and spring colors
Phase 2: Mark Up
Toggle mark up phase display
Show/hide Jump The Creek (JTC) events
Customize phase and JTC colors
Phase 3: Distribution
Toggle distribution phase display
Show/hide UTAD events
Show/hide BC (Buying Climax)
Customize phase and UTAD colors
Phase 4: Mark Down
Toggle mark down phase display
Customize phase and breakdown colors
Visual Settings
Show Phase Labels : Display large phase transition labels
Show Event Markers : Display Spring, UTAD, JTC markers
Show Phase Background : Color-code background by current phase
Dashboard
Show Dashboard : Toggle statistics panel
Position : Top Right / Bottom Right / Bottom Left
Size : Tiny / Small / Normal
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🧠 HOW IT WORKS
Phase Detection Logic
1️⃣ Accumulation (Cause)
Triggers:
- Selling climax detected (high volume + down move)
- Price enters range-bound consolidation
- Low volume compression
- Spring: False breakdown below support with low volume
2️⃣ Mark Up (Effect)
Triggers:
- Jump The Creek (JTC): Breakout from accumulation range
- Volume confirms breakout (>1.3x average)
- Higher highs and higher lows structure
- Price above trend MA
3️⃣ Distribution (Cause)
Triggers:
- Buying climax detected (high volume + up move)
- Price enters range-bound consolidation after uptrend
- UTAD: False breakout above resistance with volume
- Range compression
4️⃣ Mark Down (Effect)
Triggers:
- Breakdown from distribution range
- Volume confirms breakdown (>1.3x average)
- Lower lows and lower highs structure
- Price below trend MA
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📝 EVENT DEFINITIONS
Event | Phase | Description | Visual
-------- | ------------- | ------------------------------------------------ | -------------------------
SC | Accumulation | Selling Climax - panic selling with high volume | Volume spike + price drop
AR | Accumulation | Automatic Rally - bounce from oversold | Recovery move
ST | Accumulation | Secondary Test - retest of lows | Low volume test
Spring | Accumulation | False breakdown below support | 🟢 Label below
JTC | Mark Up | Jump The Creek - confirmed breakout | 🔵 Label (transition)
BC | Distribution | Buying Climax - euphoric buying with high volume | Volume spike + price rise
UTAD | Distribution | Upthrust After Distribution - false breakout | 🟠 Label above
SOW | Mark Down | Sign of Weakness - confirmed breakdown | 🔴 Label (transition)
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🎯 USE CASES
For Traders
Identify accumulation zones for potential long entries
Recognize distribution zones for potential short entries or exits
Confirm trend changes with phase transitions
Avoid false breakouts (Springs and UTADs)
Time entries using Jump The Creek signals
For Analysts
Market structure analysis across multiple timeframes
Volume-price divergence identification
Institutional behavior tracking (accumulation/distribution)
Cycle completion analysis
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🎨 RECOMMENDED SETTINGS
For Swing Trading (Daily/4H)
Trend MA Length: 50
Volume Climax Threshold: 1.5
Range Detection Length: 14
For Intraday Trading (1H/15m)
Trend MA Length: 20
Volume Climax Threshold: 2.0
Range Detection Length: 10
For Long-term Investors (Weekly)
Trend MA Length: 100
Volume Climax Threshold: 1.3
Range Detection Length: 20
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📚 WYCKOFF METHOD RESOURCES
The indicator is based on Richard Wyckoff's market cycle theory:
Accumulation → Smart money accumulates while retail panics
Mark Up → Price rises as smart money distributes to late buyers
Distribution → Smart money exits while retail buys
Mark Down → Price falls as retail holds losing positions
Learn More:
Wyckoff Analytics
Market cycle analysis
Volume Spread Analysis (VSA)
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⚠️ IMPORTANT NOTES
Volume Required : Indicator requires volume data (won't work on some Forex brokers without volume)
Timeframe : Best results on 1H, 4H, Daily, Weekly
Confirmation : Always combine with other analysis methods
Context : Phase detection improves with clean, trending markets
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🐛 TROUBLESHOOTING
Q: Why aren't any phases showing?
Ensure volume data is available for your symbol
Try adjusting Volume Climax Threshold (lower = more sensitive)
Check if Show Phase Background is enabled
Q: Too many false signals?
Increase Volume Climax Threshold for stricter detection
Increase Range Detection Length for better range identification
Use higher timeframes (4H/Daily)
Q: Dashboard not showing?
Check Show Dashboard is enabled in settings
Ensure panel isn't off-screen (try different position)
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👨💻 CREDITS
Developer : Fxalgox
Method : Richard Wyckoff Market Cycle Theory
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💡 TIPS FOR BEST RESULTS
Combine with Market Context : Use alongside market structure analysis
Multi-timeframe Confirmation : Check higher timeframe phase alignment
Volume is Key : Pay attention to volume climax indicators in dashboard
Be Patient : Wait for phase confirmations before taking action
Use Alerts : Set up alerts for phase changes and key events
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Happy Trading! 📈
Remember: This indicator is a tool for analysis, not financial advice. Always manage risk appropriately.
COT Index + COT Report + Valuation Tool + SeasonalityThis powerful 4-in-1 indicator was designed for traders and analysts seeking a competitive edge by delving deeper into the market's layers. Instead of cluttering your chart with multiple scripts, this tool integrates four fundamental analyses into a single window, selectable via a simple dropdown menu.
What tools are included?
1. COT Index (Commitment of Traders Index):
An oscillator that normalizes data from the COT report to show the extreme positioning of large traders (Commercials, Large Speculators). It's ideal for identifying "overbought" or "oversold" conditions in market sentiment and anticipating potential price reversals.
2. COT Report (Commitment of Traders Report):
This shows the net positions (longs vs. shorts) of traders in their raw values. Unlike the index, this tool allows you to see the actual magnitude of the positioning and how it evolves, serving as an excellent trend confirmation.
3. Valuation Tool:
A relative value indicator that compares the performance of the current asset against three other key symbols (by default: DXY, Gold, and Bonds). It helps you visually determine if an asset is overvalued or undervalued in relation to the broader market, offering a unique perspective for your trades.
4. Seasonality:
Plots the average historical price pattern of the asset for a configurable number of years. This tool provides you with a "roadmap" of seasonal tendencies, allowing you to identify if the current price aligns with its historical behavior for a specific time of year.
How to use it?
1. Add the indicator to your chart.
2. Go to the indicator's settings (the ⚙️ gear icon).
3. In the "Choose Indicator to Display" dropdown menu, select the tool you want to view.
4. To see multiple tools at once, simply add the indicator to the chart multiple times and choose a different tool in each panel.
This indicator is ideal for swing traders, position traders, and macro analysts who wish to supplement their technical analysis with high-quality fundamental data.
Power Hour Breakout Signals [LuxAlgo]The Power Hour Breakout tool helps traders identify key price levels from the Power Hour and spot breakouts from those levels easily. This tool features Power Hour extensions, Fibonacci levels, and session break marks for the trader's convenience.
🔶 USAGE
The Power Hour is defined as the last hour of the trading session and is set by default from 3:00 p.m. to 4:00 p.m. New York time. During this period, volume and volatility enter the market. Traders using higher timeframes may use this period to enter or exit positions by placing MOC (Market on Close) orders.
This tool highlights the Power Hour and the top and bottom price levels. Each time prices break out from these levels, a signal is displayed on the chart.
We can use the Power Hour to gauge market sentiment:
Bullish sentiment: Price trades above the Power Hour.
Mixed sentiment: Price trades within the Power Hour.
Bearish sentiment: Price trades below the Power Hour.
🔹 Displaying Power Hours and Breakouts
By default, all detected Power Hours are displayed. Traders can manually adjust this number by disabling the "Display All" parameter in the Settings panel.
Breakouts are displayed by default, too, but this feature can be disabled as well.
The chart above shows different configurations of these parameters.
🔹 Power Hour Extensions
Traders can use Power Hour extensions as potential targets for breakout signals.
In the settings panel, traders can select the percentage of the Power Hour price range to use for each extension. For example, 100% uses the full range, 200% uses the range twice, and so on.
As seen on the chart, traders can configure different percentages for the top and bottom extensions.
🔹 Fibonacci Levels
Traders can display default or custom Fibonacci levels on the Power Hour range to identify retracement opportunities and evaluate market movement strength. Each level can be enabled or disabled, as well as customized by level, color, and line style.
For example, as we can see on the chart, prices attempt to break out at the Power Hour top level, then retrace to the 0.618 Fibonacci level, and then rise to the 200% Power Hour top extension.
🔶 SETTINGS
Display Last X Power Hours: Select how many Power Hours to display or enable the Display All feature.
Power Hour (NY Time): Choose a custom Power Hour in New York time.
🔹 Breakouts
Breakouts: Enable or disable breakouts.
Bullish Breakout: Select color for bullish breakouts.
Bearish Breakout: Select color for bearish breakouts.
🔹 Extensions
Top Extension: Enable or disable the top extension and choose the percentage of Power Hour to use.
Bottom extension: Enable or disable the bottom extension and choose the percentage of Power Hour to use.
🔹 Fibonacci Levels
Display Fibonacci: Enable or disable Fibonacci levels.
Reverse: Reverse Fibonacci levels.
Levels, Colors & Style
Display Labels: Enable or disable labels and choose text size.
🔹 Style
Power Hour Colors
Extension Transparency: Choose the extension's transparency. 0 is solid, and 100 is fully transparent.
Session Breaks: Enable or disable session breaks.
ICT Multi-Timeframe Market Structure Tracker [SwissAlgo]ICT Multi-Timeframe Market Structure Tracker
Tracks the ICT market structure across three core timeframes (1-Week, 1-Day, 1-Hour) simultaneously.
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Why this Indicator?
You know market structure matters, whether you trade stocks, Forex, commodities, or crypto.
You've studied ICT concepts - " Change of Character ", " Break of Structure ", " Premium/discount zones ". You understand that multi-timeframe alignment is where the edge lives.
But here's what's probably happening while you apply the ICT concepts for your trading decisions:
You're manually drawing structural highs and lows across three timeframes
You're calculating Fibonacci retracements by hand for each timeframe
You're switching between weekly, daily, and hourly charts, trying to remember where each pivot was, trying to detect the critical events you're waiting for
By the time you've mapped it all out, the setup is gone. Or worse, you missed that the 1-hour just broke the structure while you were checking the weekly bias.
What about seeing all three timeframes at once instead? You need to know immediately when the price enters a premium or discount zone. You need alerts that fire when structure breaks or character changes - across all timeframes - without babysitting your screen.
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The Indicator, at a Glance
This indicator:
tracks ICT market structure across three core timeframes (1-Week, 1-Day, 1-Hour) simultaneously .
automatically plots Fibonacci retracement levels from your defined structural pivots
monitors price position (during retracements) in real-time
sends consolidated alerts when actionable events occur on any timeframe
The 1-Week View: Mid-Term Trend Bias for lower timeframes
The 1-Day View: Swings nested within the 1-Week Structure
The 1-Hour View: Swings nested within the 1-Day Structure
One glance tells you:
* Current trend direction per timeframe
* Exact Fib zone price is trading right now
* Whether the structure just broke or the character changed
* If you're in a potential long/short setup zone
The indicator helps you reduce chart-hopping, manual calculations, and minimize the missed structural shifts.
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Who is this for?
This tool is built for day traders who understand ICT concepts and need efficient multi-timeframe structure tracking. If you know what a Change of Character is, why 0.382-0.5 retracements matter in uptrends, and how to trade external structure, this indicator eliminates the manual structure tracking so you can focus on confirming and executing your trading tactics.
New to ICT? This indicator assumes foundational knowledge of the Inner Circle Trader methodology developed by Michael J. Huddleston. Before using this tool, familiarize yourself with concepts like market structure breaks, premium/discount arrays, and liquidity engineering. The ICT framework offers a unique perspective on institutional order flow and price action - but this indicator is designed for those already applying these concepts, not learning them for the first time.
Critical Skill Required : You must understand the difference between external structure (key swing highs/lows that define market direction) and internal structure (minor fluctuations within the range).
Selecting incorrect pivots - such as marking internal noise instead of true structural points - will generate false signals and undermine the entire analysis. This indicator tracks structure based on YOUR inputs. If those inputs are wrong, every Fibonacci level, alert, and bias signal will be wrong. Learn to identify clean structural breaks before using this tool.
Trading Experience Matters: This tool tracks structure and fires alerts, but interpreting those signals requires understanding context, confluences, and risk management. If you're early in your trading journey, consider this a professional-grade instrument that becomes powerful once you have the conceptual foundation to use it effectively.
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How It Works
Step 1: Define Your Structure
You, the ICT expert or student, define the structural high and low for each timeframe, with their exact dates. This empowers you to control the analysis.
Based on your entries, the indicator establishes trend direction by timeframe and calculates Fibonacci retracement levels automatically.
* Structural High/Low: Key swing points that define external structure per ICT methodology
* Auto-Validation: Built-in autoscan feature confirms your pivot entries match actual price extremes
* Deterministic Behavior: Date stamps ensure the indicator behaves consistently across all sessions
Step 2: Monitor The Tables
Two tables provide a structural context:
Multi-Timeframe Analysis Table (top-right):
Current close, high, low, and 0.5 Fib for all three timeframes
Trend direction (↑/↓)
Days since structure established (i.e., "age" or maturity)
Current Fibonacci zone
Real-time alerts: Trend changes, breakouts, and trade bias signals
Detailed Fibonacci Table (middle-right):
All nine Fib retracement levels (1.0 to 0.0) for the selected timeframe
Exact price at each level
Percentage distance from current price
Visual marker showing current position
Step 3: Monitor The Chart
Visual elements show structure at a glance:
Fibonacci Retracement Zones: Color-coded bands show premium (red), discount (green), and equilibrium (gray) areas based on trend direction
Structural Lines: Red (high) and green (low) horizontal lines mark your defined pivots with automatic fill showing the current range (based on higher timeframe pivots)
Pivot Dots: Optional small markers highlight potential structural turning points on your current timeframe (reference only - always validate pivots yourself)
Trend Indicator: Top-center banner displays the selected timeframe's current trend
Auto-pivot points
Step 4: Get Alerts and Decide the Way Forward
Set one alert on the 1-hour chart only (if you set the alert on other timeframes, you may get delayed feedback).
You'll receive notifications when ANY of these events occur on ANY timeframe:
* Change of Character (ChoC): Trend reversal confirmed by price breaking the opposite structural level
* Break of Structure (BoS): Continuation confirmed by price breaking the same-direction structural level
* Trade Bias Signals: Price entering key Fibonacci zones (0.382-0.5 for longs in uptrend, 0.5-0.618 for shorts in downtrend, with + and ++ variants for deeper retracements)
* Reversal Warnings: Price entering extreme zones (0.882-1.0 or 0.0-0.118), suggesting potential trend exhaustion and reversal towards the opposite direction
All alerts fire once per bar close with a consolidated message showing which timeframes triggered and what conditions were met.
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Understanding the 3 Timeframes Hierarchy
The three timeframes may be conceived as nested layers of structure:
* 1-Week (Macro Bias) : May help you determine your core directional bias (long/short) in a mid-term perspective. The 1-Week TF may operate as your highest-conviction filter and help you contextualize shorter-term market moves (which may align or misalign with the trend appearing on such a timeframe).
* 1-Day (Swing Structure) : Operates within the weekly range. The daily structure can contradict the weekly structure temporarily (due to retracements, consolidations). This is where you may identify intermediate swing opportunities.
* 1-Hour (Execution Structure) : Operates within the daily range. It may help you identify entry timing and short-term bias. Can show opposite trends during retracements, and some traders look for alignment with higher timeframes as part of their setup criteria.
Example: Weekly uptrend (bullish bias) → Daily pulls back into downtrend (retracement phase) → Hourly shows uptrend resumption (this may be interpreted as an entry signal). All three trends can differ simultaneously, but when all three align (in one direction or another), you may start evaluating your moves.
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Using the Tool effectively
When this indicator signals a potential setup (entering key Fibonacci zones, structure breaks, or bias shifts), treat it as a starting point for deeper analysis, not a direct entry signal.
Before executing, consider using additional tools to refine timing:
Fair Value Gaps (FVG) : Identify imbalances where the price moved too quickly, leaving potential fill zones
Order Blocks : Locate the last opposing candle before a strong move - often institutional entry points
Liquidity Zones : Map where stop losses likely cluster (equal highs/lows, round numbers)
Premium/Discount Confirmation: Verify you're buying at a discount or selling at a premium relative to the current range
Session Timing/Kill Zones : Align entries with high-liquidity sessions (London/New York opens)
This indicator shows you where the structure sits and when it shifts. Your job is to combine that context with precise entry models. The alerts narrow your focus to high-probability zones - then you apply your edge within those zones.
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How to Set Up Alerts
This indicator monitors all three timeframes simultaneously and fires consolidated alerts when any condition triggers. Follow these steps to configure alerts properly:
Step 1: Set Your Chart to the 1-Hour Timeframe
Alerts must be created on the 1-hour chart for optimal timing
Do not use higher timeframes (4H, 1D, 1W) or alerts may be delayed
Lower timeframes (15M, 5M) will work but may generate more frequent notifications
Step 2: Open the Alert Menu
Click the "Alert" button (clock icon) in the top toolbar
Or use keyboard shortcut: Alt+A (Windows) / Option+A (Mac)
Step 3: Configure Alert Settings
Condition: Select "ICT Multi-Timeframe Market Structure Tracker "
Alert Type: Choose "Any alert() function call"
Options: Select "Once Per Bar Close"
Expiration: Set to "Open-ended alert" (no expiration)
Alert Name: Choose a descriptive name (e.g., "BTC Market Structure Alerts")
Step 4: Configure Notifications
Notification Methods: Check your preferred channels (app notification, email, webhook, etc.)
Sound: Optional — choose alert sound if desired
Step 5: Create Alert
Click the "Create" button
Alert is now active and will monitor all three timeframes
Important Notes:
You only need ONE alert setup total — it monitors 1W, 1D, and 1H simultaneously
Alert messages show which timeframe(s) triggered and what conditions were met
Alerts fire once per bar close to avoid mid-bar noise
If you change your structural pivot inputs, the alert continues working with new parameters
Example Alert Message:
BTC Market Structure Alert:
🟢 1D Bullish BoS
📈 1H Long Setup (0.382-0.5)
This tells you the 1-Day broke structure bullishly AND the 1-Hour entered a long setup zone — both events happened on the same bar close.
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Key Features
* Tracks 1-Week, 1-Day, and 1-Hour structure simultaneously
* Automatic Fibonacci retracement calculation (9 levels + extensions up or down, depending on timeframe trend)
* Real-time Change of Character and Break of Structure detection
* Color-coded premium/discount zone visualization
* Multi-condition alerts across all timeframes (single alert setup required)
* Autoscan validation to confirm manual pivot entry accuracy
* Timezone-adjustable for global markets
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Important Notes
* Requires ICT Knowledge: This is not a plug-and-play system. Understanding market structure, liquidity concepts, and Fibonacci confluence is essential for effective use.
* Manual Structure Definition: You define the structural pivots. The indicator tracks and alerts - it doesn't make trading decisions.
* Chart Timeframe: Set alerts on the 1-hour chart for optimal timing across all three monitored timeframes.
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Disclaimer
This indicator is for educational and informational purposes only. It does not constitute financial, investment, or trading advice.
The indicator:
* Makes no guarantees about future market performance
* Cannot predict market movements with certainty
* May generate false indications
* Relies on historical patterns that may not repeat
* Should not be used as the sole basis for trading decisions
Users are responsible for:
* Conducting independent research and analysis
* Understanding the risks of trading
* Making their own investment/divestment decisions
* Managing position sizes and risk exposure appropriately
Trading involves substantial risk and may not be suitable for all investors. Past performance does not guarantee future results. Users should only invest what they can afford to lose and consult qualified professionals before making financial decisions. The indicator’s assumptions may be invalidated by changing market conditions.
By using this tool, users acknowledge these limitations and accept full responsibility for their trading decisions.
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.
369 IPDA Time Table369 IPDA Time Table - Intraday & Macro Analysis Tool
This indicator identifies and displays 369 IPDA (Interbank Price Delivery Algorithm) times based on digital root calculations, helping traders spot potential high-probability price delivery zones.
📊 WHAT IT DOES
The indicator automatically detects your chart timeframe and displays relevant 369 IPDA sequences:
- On charts 5 minutes and below: Shows current time + next 4 upcoming IPDA minutes
- On daily charts: Shows current date + next 4 upcoming IPDA days
- On other timeframes: Hidden (not applicable)
🔢 369 IPDA LOGIC
The indicator uses multiple digital root validation methods to identify IPDA times:
INTRADAY (Minute-Level):
1. Hour + Minute: Adds all digits of hour and minute, reduces to digital root
2. Minute Only: Reduces minute digits to digital root
3. Minute Modulo 9: Traditional method checking if minute % 9 equals 3, 6, or 9
MACRO (Day-Level):
1. Year + Month + Day: Adds all components, reduces to digital root
2. Month + Day: Adds month and day, reduces to digital root
3. Day Only: Reduces day number to digital root
Valid IPDA times occur when the digital root equals 3, 6, or 9.
🎨 VISUAL FEATURES
- Current time/date highlighted in GREEN when it IS a 369 IPDA time
- Current time/date highlighted in YELLOW when it is NOT a 369 IPDA time
- Upcoming IPDA times shown in white
- Clean table layout with bordered columns
- All times displayed in New York timezone (EST/EDT)
⚙️ CUSTOMIZATION
- Table Position: Choose from 4 corner positions (default: Bottom Left)
- Font Size: Select from Tiny, Small, Normal, Large, Huge, or Auto (default: Large)
💡 USE CASES
- Identify potential reversal or continuation points during IPDA minutes
- Plan entries/exits around high-probability time windows
- Track macro IPDA days for swing trading and position timing
- Combine with price action and ICT concepts for confluence
📍 IMPORTANT NOTES
- All times are converted to New York timezone regardless of your local time
- The indicator uses chart time, so it updates as you scrub through historical data
- On intraday charts, any minute matching ANY of the three validation methods is considered an IPDA time
- On daily charts, any day matching ANY of the three date validation methods is considered an IPDA day
🎯 BEST PRACTICES
- Use on 1-minute to 5-minute charts for precise intraday timing
- Use on daily charts for swing trading and macro analysis
- Look for confluence with price structure, liquidity zones, and order blocks
- The green highlight indicates you are currently IN an IPDA time window
This tool is based on the Zeussy's concept of IPDA times and the metaphysical properties of numbers 3, 6, and 9. It's designed to help traders identify time-based algorithmic price delivery windows.
Consecutive Candles CounterThe Consecutive Candles Counter is a simple yet powerful indicator designed to help traders identify and analyze consecutive red or green candle patterns on any timeframe. This tool automatically counts unbroken streaks of bullish or bearish candles within your specified date range, making it easier to spot momentum trends and potential reversal points.
Key Features
Dual Mode Tracking: Toggle between counting consecutive red (bearish) or green (bullish) candles with a single click
Custom Date Range: Set specific start and end dates to analyze historical patterns or focus on recent price action
Visual Streak Display: Clean line graph showing the progression of consecutive candles over time
Real-Time Information Table: Displays current streak count, candle type, and date range status at a glance
Customizable Interface:
Show/hide the information table
Adjust table size from Tiny to Huge
Color-coded visuals (red for bearish, green for bullish)
Works on All Timeframes: Optimized for daily charts but functions on any timeframe
How It Works
The indicator monitors each candle's close price relative to its open price:
Red Candle: Close < Open (bearish)
Green Candle: Close > Open (bullish)
When consecutive candles of the selected type appear, the counter increases. The streak resets to zero when:
An opposite color candle appears
The price action moves outside your specified date range
Use Cases
Momentum Trading: Identify extended runs of bullish or bearish candles that may signal strong trends
Reversal Detection: Spot when consecutive streaks end, potentially indicating trend exhaustion
Pattern Analysis: Study historical consecutive candle patterns to understand market behavior
Risk Management: Recognize when a trend might be overextended
Backtesting: Test strategies based on consecutive candle counts within specific date ranges
Cycle Indicator CS7This indicator visualizes cyclical structures (including inverse cycles) for financial instruments.
It is highly customizable and comes with a default configuration optimized for cryptocurrencies on a 45-minute timeframe, highlighting the following cycles:
• T-3: Daily cycles
• T-2: Approximately 2-day cycles
• T+1: Bi-weekly cycles
• T-1: Approximately 4-day cycles
• T: Weekly cycles
The same setup can also be applied effectively on a 24-hour timeframe, highlighting the following longer-term cycles:
• T+2: Monthly cycles
• T+3: Quarterly cycles
• T+4: Semi-annual cycles
• T+5: Annual cycles
• T+6: Bi-annual cycles
Users can customize the configurations to suit the specific characteristics of any financial instrument.
Additionally, the indicator includes a prediction system that approximates future cycles, marking them with a “?”.
Predicted Funding RatesOverview
The Predicted Funding Rates indicator calculates real-time funding rate estimates for perpetual futures contracts on Binance. It uses triangular weighting algorithms on multiple different timeframes to ensure an accurate prediction.
Funding rates are periodic payments between long and short position holders in perpetual futures markets
If positive, longs pay shorts (usually bullish)
If negative, shorts pay longs (usually bearish)
This is a prediction. Actual funding rates depend on the instantaneous premium index, derived from bid/ask impacts of futures. So whilst it may imitate it similarly, it won't be completely accurate.
This only applies currently to Binance funding rates, as HyperLiquid premium data isn't available. Other Exchanges may be added if their premium data is uploaded.
Methods
Method 1: Collects premium 1-minunute data using triangular weighing over 8 hours. This granular method fills in predicted funding for 4h and less recent data
Method 2: Multi-time frame approach. Daily uses 1 hour data in the calculation, 4h + timeframes use 15M data. This dynamic method fills in higher timeframes and parts where there's unavailable premium data on the 1min.
How it works
1) Premium data is collected across multiple timeframes (depending on the timeframe)
2) Triangular weighing is applied to emphasize recent data points linearly
Tri_Weighing = (data *1 + data *2 + data *3 + data *4) / (1+2+3+4)
3) Finally, the funding rate is calculated
FundingRate = Premium + clamp(interest rate - Premium, -0.05, 0.05)
where the interest rate is 0.01% as per Binance
Triangular weighting is calculated on collected premium data, where recent data receives progressively higher weight (1, 2, 3, 4...). This linear weighting scheme provides responsiveness to recent market conditions while maintaining stability, similar to an exponential moving average but with predictable, linear characteristics
A visual representation:
Data points: ──────────────>
Weights: 1 2 3 4 5
Importance: ▂ ▃ ▅ ▆ █
How to use it
For futures traders:
If funding is trending up, the market can be interpreted as being in a bull market
If trending down, the market can be interpreted as being in a bear market
Even used simply, it allows you to gauge roughly how well the market is performing per funding. It can basically be gauged as a sentiment indicator too
For funding rate traders:
If funding is up, it can indicate a long on implied APR values
If funding is down, it can indicate a short on implied APR values
It also includes an underlying APR, which is the annualized funding rate. For Binance, it is current funding * (24/8) * 365
For Position Traders: Monitor predicted funding rates before entering large positions. Extremely high positive rates (>0.05% for 8-hour periods) suggest overleveraged longs and potential reversal risk. Conversely, extreme negative rates indicate shorts dominance
Table:
Funding rate: Gives the predicted funding rate as a percentage
Current premium: Displays the current premium (difference between perpetual futures price and the underlying spot) as a percentage
Funding period: You can choose between 1 hour funding (HyperLiquid usually) and 8 hour funding (Binance)
APR: Underlying annualized funding rate
What makes it original
Whilst some predicted funding scripts exist, some aren't as accurate or have gaps in data. And seeing as funding values are generally missing from TV tickers, this gives traders accessibility to the script when they would have to use other platforms
Notes
Currently only compatible with symbols that have Binance USDT premium indices
Optimal accuracy is found on timeframes that are 4H or less. On higher timeframes, the accuracy drops off
Actual funding rates may differ
Inputs
Funding Period: Choose between "8 Hour" (standard Binance cycle) or "1 Hour" (divides the 8-hour rate by 8 for granular comparison)
Plot Type: Display as "Funding Rate" (percentage per interval) or "APR" (annualized rate calculated as 8-hour rate × 3 × 365)
Table: Toggle the information table showing current funding rate, premium, funding period, and APR in the top-right corner
Positive Colour: Sets the colour for positive funding rates where longs pay shorts (default: #00ffbb turquoise)
Negative Colour: Sets the colour for negative funding rates where shorts pay longs (default: red)
Table Background: Controls the background colour and transparency of the information table (default: transparent dark blue)
Table Text Colour: Sets the colour for all text labels in the information table (default: white)
Table Text Size: Controls font size with options from Tiny to Huge, with Small as the default balance of readability and space
Fractal Strength OscillatorThe Fractal Strength Oscillator Indicator combines the Relative Strength Index (RSI) and Fractal Dimension Index (FDI) to identify market momentum and trend direction. By integrating RSI's momentum signals with FDI's fractal-based trend analysis, this indicator provides clear visual cues for bullish and bearish conditions through colored plots and price bars.
How It Works
RSI Calculation: Computes RSI based on a user-selected price source (default: Close) over a configurable period. Optional smoothing with various moving average types (e.g., SMA, EMA, ALMA) enhances signal clarity.
FDI Calculation: Measures market complexity using a fractal dimension over a user-defined period (default: 20). A threshold (default: 1.45) determines trend strength.
Trend Logic
Bullish Signal: RSI > 55 or FDI < threshold indicates upward momentum
Bearish Signal: RSI < 45 or FDI > threshold indicates downward momentum
Customization & Parameters
RSI Parameters: RSI length, smoothing option , MA type, MA length, ALMA sigma
FDI Parameters: FDI length, trend threshold.
Trading Applications
Momentum Trading: Use RSI and FDI signals for entry/exit points.
Trend Confirmation: Bar coloring aligns with trend signals.
Reversal Detection: Identify shifts when RSI or FDI crosses thresholds
Final Note
The Fractal Strength Oscillator Indicator is a straightforward tool for traders seeking momentum and trend insights. Its combination of RSI, FDI, and visual cues supports informed trading decisions. Backtest thoroughly and use within a broader strategy. This indicator is for educational purposes and not financial advice.
Validated Order Blocks with Fib LevelsThis indicator automatically identifies and displays Smart Money Concepts (SMC) order blocks based on market structure breaks:
How it works:
Bearish Order Blocks (Red): Marks the last bullish candle before a swing high. The OB becomes valid when price breaks below the previous swing low, indicating institutional selling zones. Drawn from the candle's close (body top) to its low (bottom wick).
Bullish Order Blocks (Green): Marks the last bearish candle before a swing low. The OB becomes valid when price breaks above the previous swing high, indicating institutional buying zones. Drawn from the candle's high (top wick) to its close (body bottom).
Features:
Three Fibonacci retracement levels (50%, 75%, 100%) for each order block
Fib 100% faces downward on bearish OBs and upward on bullish OBs
Auto-validation: OBs are removed when price closes through them
Customizable: Adjustable swing detection, timeframe selection, and OB display limits
Optional Break of Structure (BOS) markers to show when OBs activate
Works on any timeframe with HTF analysis support
Perfect for identifying key institutional support/resistance zones and potential reversal areas.
Combined SMA with Murrey Math and Fixed Fractal Bands "Combined SMA with Murrey Math and Fixed Fractal Bands" , overlaying a Simple Moving Average (SMA), Murrey Math (MM) bands, and fixed fractal bands on a price chart. Here's a brief description of its functionality:Inputs:SMA Length: Configurable period for the SMA (default: 180 bars).
Resolution: Optional custom timeframe for data.
Frame Size for MM: Lookback period for Murrey Math calculations (default: 180 bars, adjustable via multiplier).
Ignore Wicks: Option to use open/close prices instead of high/low for MM calculations.
Fixed Fractal Size: Fixed distance in points for fractal bands (default: 1.22).
Shade 3/8-5/8 Overlap: Option to highlight overlapping regions between SMA-centered and absolute MM bands.
Data Source:Uses open, close, high, and low prices from the specified ticker and timeframe.
Optionally ignores wicks (high/low) for MM calculations, using max/min of open/close instead.
SMA Calculation:Computes a Simple Moving Average (SMA) based on the closing price and user-defined length.
Murrey Math Bands:Absolute MM Bands: Calculated using a dynamic range based on the highest/lowest prices over a lookback period, scaled logarithmically to create 13 levels (from -3/8 to +3/8, with 8/8 as the midpoint). These adapt to price action.
SMA-Centered MM Bands: Constructs MM bands relative to the SMA, with levels (0/8 to 8/8) spaced by a calculated increment derived from the absolute MM range.
Colors bands dynamically (green for bullish, red for bearish, gray for neutral) based on changes in the 4/8 level or increment, with labels indicating "Higher," "Lower," or "Same" states.
Fixed Fractal Bands:Plots six fixed-distance bands (±1, ±2, ±3) around the SMA, using a user-defined point value (default: 1.22).
Overlaps and Shading:Detects overlaps between SMA-centered and absolute MM bands at key levels (7/8-8/8, 0/8-1/8, and optionally 3/8-5/8).
Shades overlapping regions with distinct colors (red for 7/8-8/8, green for 0/8-1/8, blue for 3/8-5/8).
Fills specific SMA-centered MM regions (3/8-5/8, 0/8-1/8, 7/8-8/8) for visual emphasis.
Visualization:Plots SMA-centered MM bands, absolute MM bands, and fixed fractal bands as stepped lines with varying colors and transparency.
Displays a table at the bottom-right showing the current MM increment value.
Adds labels when the 4/8 level or increment changes, indicating trend direction.
In summary, this indicator combines a user-defined SMA with Murrey Math bands (both absolute and SMA-centered) and fixed fractal bands to provide a multi-level support/resistance framework. It highlights dynamic price levels, trend direction, and key overlaps, aiding traders in identifying potential reversal or consolidation zones.
Hurst‑Millard FLD Normalized 2.0 – Signals "Hurst-Millard FLD Normalized 2.0 – Signals" indicator. It analyzes price data using a combination of moving averages (MAs) and the Hurst exponent to decompose price movements into trend, swing, and noise components, generating buy and sell signals. Here's a brief overview of its functionality:Inputs and Modes:Offers Auto Mode (cycle-based) and Manual Mode for configuring three moving averages: Long-Term (LT), Mid-Term (MT), and Short-Term (ST).
Auto Mode calculates MA lengths and offsets based on user-defined target cycle lengths (e.g., LT: 400 bars, MT: 100 bars, ST: 25 bars) with predefined offset ratios (0.2, 0.333, 0.5 respectively).
Manual Mode allows direct input of MA lengths and offsets.
Moving Averages:Computes Simple Moving Averages (SMAs) for LT, MT, and ST based on the closing price.
Applies forward-shifting to simulate future price behavior (e.g., maLongFwd shifts the LT MA by the specified offset).
Decomposition:Trend: Derived from the forward-shifted LT MA (maLongFwd).
Swing: Calculated as the difference between MT and LT MAs, scaled as a percentage of the closing price and amplified (using ATR or a manual factor).
Noise: Calculated as the difference between ST and MT MAs, similarly scaled and amplified.
Hurst Exponent:Estimates the Hurst exponent to measure the persistence or mean-reversion of the noise component.
Uses a 50-bar lookback period, smoothed with a 5-period SMA.
Signal Generation:Generates buy signals when the noise component is less than the swing component and their difference is within a user-defined proximity threshold (default: 25% of swing).
Generates sell signals when noise exceeds swing within the same threshold.
Signals are plotted as diamond shapes at the calculated proximity price level.
Visualization:Plots the trend, swing, and noise components as lines with customizable colors and gradient intensity based on their relative strength.
Optional debugging plots for raw forward-shifted MAs and proximity thresholds.
Displays a periodic debug table (every 100 bars) showing key metrics like close price, MAs, trend, swing, noise, Hurst exponent, and more.
Additional Features:Supports ATR-based amplification for scaling swing and noise.
Allows customization of signal colors, diamond offsets, and proximity thresholds.
Includes debugging options to visualize raw MAs and proximity bands.
In summary, this indicator uses cycle-based or manually configured MAs to break down price action into trend, swing, and noise, calculates the Hurst exponent for noise analysis, and generates buy/sell signals based on the relationship between swing and noise within a proximity threshold. It’s designed for traders to identify potential trend reversals or continuations.
Midpoints Table:by AGRThis is midpoint indicator for 5m, 15m, 30m, 60m, Day and Week.
This is simple indicator for intraday use 5, 15 and 30m. unless 30m cross any side dont take trade on that side. Also read along with day and week midpoints
