Double Median SD Bands | MisinkoMasterThe Double Median SD Bands (DMSDB) is a trend-following tool designed to capture market direction in a way that balances responsiveness and smoothness, filtering out excessive noise without introducing heavy lag.
Think of it like a house:
A jail (too restrictive) makes you miss opportunities.
No house at all (too unsafe) leaves you exposed to false signals.
DMSDB acts like a comfortable house with windows—protecting you from the noise while still letting you see what’s happening in the market.
🔎 Methodology
The script works in the following steps:
Standard Deviation (SD) Calculation
Computes the standard deviation of the selected price source (ohlc4 by default).
The user can choose whether to use biased (sample) or unbiased (population) standard deviation.
Raw Bands Construction
Upper Band = source + (SD × multiplier)
Lower Band = source - (SD × multiplier)
The multiplier can be adjusted for tighter or looser bands.
First Median Smoothing
Applies a median filter over half of the length (len/2) to both bands.
This reduces noise without creating excessive lag.
Second Median Smoothing
Applies another median filter over √len to the already smoothed bands.
This produces a balance:
Cutting the length → maintains responsiveness.
Median smoothing → reduces whipsaws.
The combination creates a fast yet clean band system ideal for trend detection.
📈 Trend Logic
The trend is detected based on price crossing the smoothed bands:
Long / Bullish (Purple) → when price crosses above the upper band.
Short / Bearish (Gold) → when price crosses below the lower band.
Neutral → when price remains between the bands.
🎨 Visualization
Upper and lower bands are plotted as colored lines.
The area between the bands is filled with a transparent zone that reflects the current bias:
Purple shading = Bullish zone.
Golden shading = Bearish zone.
This creates a visual tunnel for trend confirmation, helping traders quickly identify whether price action is trending or consolidating.
⚡ Features
Adjustable Length parameter (len) for dynamic control.
Adjustable Band Multiplier for volatility adaptation.
Choice between biased vs. unbiased standard deviation.
Double median smoothing for clarity + responsiveness.
Works well on cryptocurrencies (e.g., BTCUSD) but is flexible enough for stocks, forex, and indices.
✅ Use Cases
Trend Following → Ride trends by staying on the correct side of the bands.
Entry Timing → Use crossovers above/below bands for entry triggers.
Filter for Other Strategies → Can serve as a directional filter to avoid trading against the trend.
⚠️ Limitations & Notes
This is a trend-following tool, so it will perform best in trending conditions.
In sideways or choppy markets, whipsaws may still occur (although smoothing reduces them significantly).
The indicator is not a standalone buy/sell system. For best results, combine with volume, momentum, or higher-timeframe confluence.
All of this makes for a really unique & original tool, as it removes noise but keeps good responsitivity, using methods from many different principles which make for a smooth a very useful tool
Educational
Staolin Trade maxx V1This script is a custom TradingView indicator named "Staolin Trade maxx V1". It overlays on price charts and includes features for visualizing support and resistance zones, trendlines, EMA-based trend fills, higher high/lower low labels, range boxes, Supertrend buy/sell signals, risk management lines with SL/TP levels, and customizable moving averages. Inputs allow toggling elements like trendlines, EMA trends, labels, ranges, and levels, as well as adjusting lengths, colors, sensitivities, signal strengths, and risk-reward ratios. Zones appear as gradient-filled bands (red for upper, green for lower), trendlines as extending lines (teal up, red down), EMA fills as translucent ribbons (green up, red down), labels as triangles (green HH, red LL), ranges as colored boxes (blue unbroken, green/red broken), signals as labels (green buy, red sell), SL/TP as extending lines with emoji-labeled tags (blue entry, red SL, green TPs), and MAs as lines (blue 5, red 13, green 20).
Bull/Bear Thermometer - GSK-VIZAG-AP-INDIABull/Bear Thermometer - GSK-VIZAG-AP-INDIA
Overview
The Bull/Bear Thermometer is a visual volume-based indicator designed to gauge the cumulative buying (bullish) and selling (bearish) pressure over customization time intervals on any chart. It uses Cumulative Volume Delta (CVD) to track buying and selling dominance and visually represents this data as vertical bar meters with percentage scales.
Key Features
Multi-Time frame Accumulation: Allows users to select accumulation intervals - Daily, Weekly, or Monthly - adapting to their trading style and time frame.
Cumulative Volume Delta (CVD) Computation: Calculates the net buying and selling volume by comparing volume on bullish and bearish bars to measure market strength.
Visual Thermometer Display: Presents buying (CVD+) and selling (CVD-) dominance in colorful vertical bars on an easy-to-read table overlay on the price chart.
Percentage Scale with Highlights: Includes a percentage scale from 0% to 100%, highlighting the important 50% benchmark with a yellow line for quick reference.
Clear Color Coding: Uses green and red color schemes to represent bullish and bearish pressure, with distinctive numeric labels.
Customization Reset Points: Weekly reset day and Monthly reset date options ensure the accumulation aligns with user preference or trading strategy cycles.
Inputs and Usage
Select Time frame: Choose how the buying/selling volume is accumulated — Daily, Weekly (reset day configurable), or Monthly (reset date configurable).
Volume-Based Signals: Monitor changes in buying and selling pressure levels as the market tides shift.
Table Display: A table positioned at the bottom right corner overlays the price chart showing percentage bars for both buying and selling dominance.
Ideal for: Day traders, swing traders, and volume-focused market analysts who want a quick visual summary of market sentiment.
How It Works
The indicator tracks volume on each bar, assigning positive or negative values depending on whether the bar closes higher or lower than the previous.
It accumulates these values over the selected time frame to calculate the cumulative buying (green) and selling (red) volumes.
The data is then converted to percentages and mapped as vertical colored bars in the table.
The midpoint (50%) is highlighted with a yellow line, helping traders quickly assess bullish/bearish balance.
Why Use This Indicator?
Simplicity: Easy to interpret visual thermometer of market sentiment.
Customization: Flexible period settings align with different trading styles.
Volume Insight: Goes beyond price action, factoring volume momentum for deeper market understanding.
Non-intrusive Overlay: Displayed neatly on chart without clutter or distraction.
Recommended Pairings
Use alongside price action or trend indicators.
Suitable for equities, futures, forex, and crypto instruments where volume data is reliable.
Sampat R3 170925This is simple trend analysis,
Sharp Entery at 1 minute time frame.
If 5 munute & 15 minute time frame shown uptrend, take Buy entry on 1 munute time frame, with help of LSMA Green signal.
If 5 munute & 15 minute time frame shown downtrend, take Sale entry on 1 munute time frame, with help of LSMA Red signal.
On 1 minute time frame we also find both Buy & Sale signal are profitable, But following the trend is profitable.
*Subject ot indivisual financial risk*
EMA 8/33 Optimized Crossover w/FilterThis strategy is ideal for fast-moving assets like cryptocurrencies (e.g., SOLUSDT) on intraday to swing trading timeframes. Its robust filtering aims for fewer trades but with higher accuracy, producing a smoother equity curve and lower drawdown in your backtests.
You can further optimize the EMA lengths, minimum candle size, and TP/SL percentages to suit your preferred asset and timeframe.
Auto Hourly Deviations {Module+}Description
This indicator automatically calculates and visualizes the prior hour’s price structure and its deviation levels. By combining core reference lines (high, low, EQ, quarters, open) with dynamic deviation levels and shaded zones, it provides a framework for understanding intraday price behavior relative to the most recent hourly range.
The tool has three functional sections that work together:
Core Hourly Structure – Captures the prior hour’s high, low, EQ (50%), and quarter levels (25% and 75%), plus the current open.
Deviation Levels – Projects standardized deviation multiples (±0.33, ±0.5, ±0.66, ±1.0, ±1.33, ±1.66, ±2.0) above and below the prior hour’s range.
Shading & Anchoring – Fills zones between key deviation levels for visual emphasis, while allowing projection offsets and anchor line references for precise chart alignment.
Together, these layers give traders a structured map of price movement around hourly ranges, making it easier to track expansion, retracement, and trend continuation.
1. Core Hourly Structure
Plots the prior hour’s high and low as key reference points.
Automatically calculates EQ (midpoint), 25%, and 75% levels.
Tracks the open of the current hour for immediate orientation.
Optional anchor line marks the start of each hourly window for time alignment.
Use: Frames the “hourly box” and subdivides it for intraday structure analysis.
2. Deviation Levels
Uses the prior hour’s range as a baseline.
Projects deviation levels above and below: ±0.33, ±0.5, ±0.66, ±1.0, ±1.33, ±1.66, and ±2.0.
Each level can be individually toggled with full line/label styling.
Use: Quantifies how far price is moving relative to the last hour’s volatility — useful for spotting overextensions, retraces, and probable reaction zones.
3. Shading & Anchoring
Shaded zones between selected deviation bands (e.g., +0.33 to +0.66 or +1.33 to +1.66) highlight potential liquidity or reaction areas.
Projection offsets allow levels to extend forward into future bars for planning.
Labels and color controls make the chart highly customizable.
Use: Provides quick visual cues for potential trading ranges and deviations without clutter.
Intended Use
This is a visualization tool, not a buy/sell system. Traders can use it to:
Track how price interacts with the prior hour’s high/low.
Measure hourly expansion through deviation levels.
Spot retracements or continuation zones inside and beyond the prior hour’s range.
Limitations & Disclaimers
Levels are derived from completed hourly candles; they do not predict outcomes.
Deviations are static calculations and do not account for fundamentals or volatility shifts.
This indicator does not provide financial advice or trading signals.
For informational and educational purposes only.
Trading involves risk; always apply proper risk management.
Closed-source (Protected): Logic is accessible on charts, but the source code is hidden. A TradingView paid plan is required for protected indicators.
Gustavo Status barA Pine Script v6 chart overlay that shows a persistent status table with continuously updating Buy/Sell percentages, driven by 15-minute microstructure but governed (and capped) by the selected main timeframe’s market structure (default 1H) using HH/HL vs LL/LH with smooth easing.
DTT ⴵDTT ⴵ — Watermarks, Sessions & HTF Countdown
DTT ⴵ is a clean, lightweight utility for adding professional watermarks and time-based reminders to any chart. It displays your brand/title, live market data (ticker/price/timeframe), the current date, configurable trading sessions (with your own reminder header), and an optional higher-timeframe (HTF) bar-close countdown —each with independent positioning, sizing, and auto-contrast.
Designed for focus and discipline: use it to keep risk reminders visible, mark key session windows, and glance the next HTF close without cluttering the chart.
What it shows
Main Watermark (brand/message)
Big title + subtitle, anywhere on the chart, with optional auto color that adapts to light/dark themes.
Market Data Watermark
Per-line display for Ticker, Last Price, and Timeframe (formatted as M5 / H1 / D1 / W1 / MN1, etc.). Each line has its own color, or you can enable a global auto-contrast override.
Date Watermark
Current date in your preferred format (e.g., yyyy-MM-dd, MMM dd, yyyy), with optional auto-contrast.
HTF Countdown (optional)
Minutes (or smart d/h/m) remaining to the next close of selected higher timeframes (5m → Monthly). Can auto-hide lower TFs relative to the current chart timeframe.
Session Watermarks (up to 3)
Three time windows with names, colors, and a timezone selector. Show a prominent header like “Reminder ⚠︎” or “Check Position Size” and only display sessions when they’re currently active.
Quick Start
In Main Watermark, set your Title and optional Subtitle.
In Market Data, choose which lines you want (Ticker/Price/Timeframe) and their position.
In Date Watermark, pick a format and position.
Toggle HTF Countdown on (optional). Choose which TFs to track (e.g., D/W), and whether to Auto-Hide Lower TF.
In Session Watermarks, set your Timezone and edit any of the three sessions (name, time window, color). Only active sessions will render.
Inputs & Controls
Main Watermark
Enable Main Watermark — show/hide.
Position — any of the 9 corners/centers.
Main Title / Subtitle — free text.
Sizes — Tiny / Small / Normal / Large / Huge (independent per line).
Auto-Adjust Colors to Chart — adapts title/subtitle to theme, with extra protection on extremely bright/dark backgrounds.
Manual Colors — choose title/subtitle colors when Auto is off.
Market Data Watermark
Enable Market Data — show/hide.
Position / Text Size — independent of the main watermark.
Show Ticker / Price / Timeframe — toggle each line.
Ticker/Price/Timeframe Colors — per-line colors.
Auto-Adjust All Colors — override individual colors with automatic contrast to chart background.
Timeframe formatting is normalized:
1,3,5,15,30,45 → M1/M3/M5/M15/M30/M45
60,120,180,240 → H1/H2/H3/H4
D or 1D → D1 ; multi-day → D2, D3, …
W or 1W → W1 ; multi-week → W2, …
M or 1M → MN1 ; multi-month → MN2, …
Date Watermark
Enable Date
Position / Text Size
Date Format — yyyy-MM-dd, MM/dd/yyyy, dd/MM/yyyy, MMM dd, yyyy, dd MMM yyyy
Date Color or Auto-Adjust Color
HTF Countdown
Enable HTF Countdown
Position / Text Size
Show Header / Header Text / Header Color
Auto-Hide Lower Timeframes — when ON, only show countdowns above the current chart TF.
Pick TFs — 5m, 15m, 30m, 1h, 4h, D, W, M (toggle any).
Format — Smart (d/h/m) or Minutes Only (m).
Countdown Color or Auto-Adjust Colors (applies to header & lines).
Session Watermarks
Enable Session Watermarks
Position / Text Size
Timezone — select from common regions or Exchange (uses the symbol’s exchange).
Show Header / Header Text / Header Color — e.g., “Reminder ⚠︎”, “Risk Management 🔔”.
Session 1 / 2 / 3
Enable
Name — e.g., “Potential News”, “NY Open”, “Close Positions”
Time — HHMM-HHMM (24-hour) using the selected Timezone
Color
Text Opacity — 0 = fully opaque text, 100 = fully transparent text.
Auto-Adjust Session Colors — auto-contrast against background (applies opacity too).
Sessions only render when the current time is inside their time window.
How it works (under the hood)
Tables on last bar: All watermarks render via table.* only on the last bar for performance (barstate.islast).
Auto-contrast: The script inspects chart.bg_color to detect light/dark and extreme backgrounds, choosing white/black when needed.
Market data: Uses syminfo.ticker, close, and a formatter for timeframe.period.
Date: Formatted with str.format from the current bar’s time.
HTF countdowns:
Pulls time(tf) to anchor the current HTF bar start and computes the minutes until the next close.
Smart mode chooses Xd Yh, Xh Ym, or Xm automatically; Minutes Only shows Xm.
Daily/Weekly/Monthly calculations use current clock values. Weekly assumes the next week starts Monday; monthly uses actual month length for countdown display.
Auto-Hide Lower TFs compares TFs in minutes vs. the current chart TF and hides anything at or below it.
Sessions: input.session windows are evaluated in the selected timezone (or exchange hours if “Exchange” is chosen). A session row appears only while in-session.
Tips & Best Practices
Use Auto-Adjust color options when sharing charts across themes (dark/light).
Keep the Main Watermark subtle (e.g., Normal/Small) and move Market Data to a corner to avoid covering price.
For scalping charts, enable D and W countdowns—great for anticipating session/HTF closes.
Set Session 1 to your news-check window and keep the header on (e.g., “Check Position Size ”).
Limitations / Notes
Countdown logic depends on TradingView’s session/time context; exotic custom sessions may not match exchange close rules.
Weekly countdown assumes week rollover on Monday.
“Monthly” duration comparisons use an approximate 30-day minute value only for thresholding in some helpers; the visible countdown uses the real month length.
No alerts—this is a visual utility.
Performance
Very light; all drawing is table-based and only refreshed on the last bar.
Works on any symbol and timeframe.
Built for the DTT Trading Community ⴵ to promote clarity, patience, and time-based discipline on the chart.
TradeMEP ChecklisteThe TradeMEP Checklist is a visual tool for structured trade analysis and preparation.
The indicator clearly displays the most important entry and exit conditions for trend reversals and trend continuations.
All points can be individually checked off, providing a clear overview of whether the requirements for a setup are met.
Features:
Separate checklists for trend reversal and trend continuation
Ability to show or hide each section
Color highlighting when all conditions are fulfilled
Flexible positioning and adjustable font sizes
This indicator is designed specifically for traders who follow clear rules and want to systematically review their setups.
It does not replace analysis but helps to avoid mistakes and work consistently according to defined criteria.
Malaysian SnR + Storyline This indicator combines the Malaysian Support & Resistance (SnR) method with a Multi-Timeframe Storyline view.
🔹 Malaysian SnR (A/V levels)
Plots Support & Resistance using candlestick bodies only (close → open).
“A” shape = Resistance (bullish close → bearish open).
“V” shape = Support (bearish close → bullish open).
Supports Fresh/Unfresh logic with wick-touch validation.
🔹 Storyline (W/D/H4/H1 bias lines)
Weekly = Big map / macro bias.
Daily = Medium trend / retracement.
H4 = Intraday bias confirmation.
H1 = Execution bias (entry filter).
Lines extend forward and only update when a new pivot confirms.
🔹 Extra Features
Alignment Rule: option to hide A/V levels when TF biases don’t align (e.g. W=D=H4=H1).
Story Labels: optional text labels describing each TF storyline.
History filter: show storyline for the last X days only, for cleaner charts.
This script is designed for price action traders who want to combine body-based SnR levels with a clear multi-timeframe bias storyline, making it easier to align intraday execution with higher timeframe context.
Ameebha D Equities Buy IndicatorShows Buy Decision and key metrics (RS, EMA, Supertrend, Close Price)
CAGR Indicator (Flexible Holding Period)CAGR Indicator (Flexible Holding Period)
The CAGR Indicator (Flexible Holding Period) is designed to convert any cumulative investment outcome into a standardized, annualized growth rate that can be compared across assets, strategies, and time horizons. Its core metric is the compound annual growth rate, which represents the constant yearly rate that, if compounded smoothly, transforms an initial value into a final value over a specified horizon. By annualizing returns, the indicator removes distortions caused by unequal test lengths and allows direct comparison with benchmarks such as index returns or risk-free rates.
Conceptually, the indicator proceeds in two stages: measuring growth and normalizing time. Growth is summarized by the growth multiple, which is the ratio of ending value to starting value when concrete values are provided, or equivalently 1 plus total percentage return divided by 100 when only a cumulative percent is known. Time is normalized by converting the user’s holding period into a year-equivalent, so that a 45-day, 30-week, 18-month, or multi-year interval can all be mapped onto a common annual scale. The conversions use widely accepted approximations: days divided by 365.25, weeks divided by approximately 52.1429, and months divided by 12, while years are used as entered.
Once growth and time are expressed in compatible units, the indicator applies the standard compounding identity: CAGR = (Growth Multiple)^(1/T) − 1, where T is the year-equivalent holding period. This transformation inverts the compounding process and yields the geometric mean rate of return per year. Because the geometric mean is path-independent, the CAGR summarizes start-to-finish performance without reference to the sequence of gains and losses. The output therefore reflects the constant annual rate that would have produced the observed terminal value from the initial value if returns had been smooth.
The indicator admits two data entry modes to accommodate common reporting practices. In Start/End Values mode, the user supplies initial and final portfolio values; the indicator computes the growth multiple as end divided by start and also displays absolute profit or loss in currency terms to aid practical interpretation. In Total PnL (%) mode, the user supplies a cumulative return percentage; the indicator converts this to a growth multiple and estimates a corresponding ending value for display, while the CAGR computation itself relies only on the multiple and the time horizon.
Validity checks ensure that reported numbers are meaningful. The growth multiple must be strictly positive; cumulative losses at or below minus one hundred percent make the multiple nonpositive and render the CAGR undefined. The holding period must be positive and convertible to a year-equivalent. In Start/End mode, the starting value must exceed zero to avoid division by zero and degenerate ratios. When these conditions are not met, the indicator withholds a numeric result and signals that the quantity is not well defined.
Interpreting the output requires recognizing both its strengths and its limits. The CAGR is a concise, comparable measure of long-run performance that abstracts from timing and volatility. It is particularly useful for benchmarking strategies of different durations, setting policy targets for funds, communicating results to stakeholders, and aligning outcomes with hurdle rates. However, because it is path-independent, the CAGR does not reflect interim drawdowns, variance, or tail risk. It also presumes a lump-sum investment with no intermediate cash flows; when deposits or withdrawals occur, internal rate of return methods such as IRR or XIRR are more appropriate.
Typical applications include comparing backtests with unequal sample lengths, reporting consolidated results from discrete projects on a common annual basis, and translating short-horizon event outcomes (for example, a multi-week campaign) into an annualized figure for decision-making. The indicator’s auxiliary displays, such as total profit or loss in currency and the explicit statement of the original holding period alongside its year-equivalent, improve transparency and auditability of the transformation.
Users should remain mindful of several caveats. Time conversions rely on conventional averages and may differ from calendar-exact counts by small amounts, which is usually immaterial but worth noting for edge cases. Selection bias can inflate reported CAGRs if intervals are cherry-picked; robust practice involves rolling windows, out-of-sample tests, and sensitivity analysis. Most importantly, the CAGR should be paired with risk and stability measures—such as maximum drawdown, Sharpe or Sortino ratios, downside deviation, or ulcer index—to form a complete assessment of a strategy’s quality.
In sum, the indicator operationalizes a simple but powerful idea: separate the measurement of growth from the normalization of time, then apply the compounding identity to express outcomes as a consistent per-year rate. By combining flexible period inputs with a rigorous geometric transformation, it enables fair, intelligible comparisons while encouraging the complementary use of risk diagnostics to avoid over-reliance on a single summary statistic.
Whale Money Flow DetectorKey Components:
Volume Analysis: Detects unusual volume spikes compared to average
Money Flow Index: Shows buying vs selling pressure
Whale Detection: Identifies large moves with high volume
Cumulative Flow: Tracks net whale activity over time
Visual Signals: Background colors and whale emoji labels
What it detects:
Large volume transactions (configurable multiplier)
Significant price moves with corresponding volume
Buying vs selling pressure from large players
Cumulative whale flow momentum
Customizable Parameters:
Volume MA Length (default: 20)
Whale Volume Multiplier (default: 2.0x)
Money Flow Length (default: 14)
Detection Sensitivity (default: 1.5)
Visual Features:
Green background for whale buying
Red background for whale selling
Whale emoji labels on significant moves
Real-time stats table
Multiple plot lines for different metrics
How to use:
Copy the code to TradingView's Pine Editor
Apply to your chart
Adjust sensitivity settings based on your asset's behavior
Set up alerts for whale buy/sell signals
Interval — full-screen verticals + H/L + metrics (robust v6)Specify the start date of the analysis and the end date of the analysis, after which 2 vertical lines will appear, the extremes in this period will be marked, and the percentage of deviations will be shown. Next, you can switch assets and see how they behave over the same time interval.
MC RSI + Stoch (multi-level bands)This indicator combines RSI and Stochastic Oscillator into a single panel for easier market analysis. It is designed for traders who want both momentum context and precise timing, with multiple reference levels for better decision-making.
🔧 Features
RSI (Relative Strength Index) with adjustable length (default 14).
Stochastic Oscillator (default 18, 9, 5) with smoothing applied to %K.
Both oscillators plotted in the same scale (0–100) for clear comparison.
Custom horizontal levels:
10 & 90 (purple)
20 & 80 (teal)
30 & 70 (blue)
40 & 60 (gray)
50 midline (red) for balance point reference.
Optional shaded band between 20–80 for quick visualization of momentum extremes.
Toggle switches to show/hide RSI or Stochastic independently.
🎯 How to Use
RSI gives the overall momentum strength.
Stochastic provides faster entry/exit signals by showing short-term momentum shifts.
Use the multi-level bands to identify different market conditions:
10/90 = Extreme exhaustion zones.
20/80 = Overbought/oversold boundaries.
30/70 = Secondary confirmation levels.
40/60 = Neutral momentum bands.
50 = Midline equilibrium.
Sr.Rma.Breakout.Fib (Merged)DO YOUR DUE DILIGENCE – THIS IS FOR EDUCATIONAL PURPOSE AND NOT A TRADE ADVICE-
This strategy is designed for traders who want to merge pattern recognition (breakouts) with market structure context (Fibonacci), while maintaining disciplined trade management through automated stop-loss and reversal logic. “Once the chart is added, please ensure the candle pattern is set to Heikin Ashi.”
1. Breakout Finder Logic
The breakout finder identifies bullish and bearish breakouts using pivots, thresholds, and test counts:
• Pivot Highs & Lows (PH/PL): Calculated using user-defined periods.
• Breakout Threshold: Dynamic channel width based on recent volatility.
• Confirmation: A breakout is validated when price action clears the breakout Conditions
• Bullish Breakout: Triggered when multiple pivot highs are cleared by bullish Conditions.
• Bearish Breakout: Triggered when multiple pivot lows are broken by bearish Conditions.
• Sessions ignored: Traders can exclude up to three custom time windows to prevent signals during low-quality periods.
Risk & Reversal Controls
• Stop-Loss: Adjustable % thresholds for both long and short trades.
• Reversal Entries: Optional signals that trigger after a stop-loss, capturing potential price reversals.
2. Strategy Order Management
The strategy executes entries and exits based on confirmed breakout and reversal signals:
• Entries:
o Long on confirmed bullish breakout.
o Short on confirmed bearish breakout.
• Stops:
o Automatic closure of open positions when stop-loss conditions are hit.
• Reversals:
o Transition directly from long to short or vice versa when reversal conditions are met.
3. Auto Fibonacci Retracement
A ZigZag-based system automatically plots Fibonacci retracement levels on the chart:
• Swing Context: Derived dynamically from pivots with adjustable depth and deviation settings.
• Fib Levels: Standard retracement and extension levels (0.236, 0.382, 0.5, 0.618, 0.786, 1.0, 1.618, 2.618, 3.618, 4.236, etc.) are supported.
• Custom Options:
o Extend lines left or right.
o Show/hide level prices and percentage values.
o Control label positions (left or right).
o Adjustable transparency for background fills between levels.
• Crossing Alerts: Alerts are fired when the price crosses specific Fibonacci levels, enhancing confluence with breakout signals.
5. Key Benefits
• Comprehensive Trading Framework: Combines breakout confirmation, risk management, and Fibonacci context.
• Visual Clarity: Automatic plotting of breakout structures and Fib levels makes the chart intuitive.
• Flexible Controls: Full customization of pivots, thresholds, sessions, stop-loss %, and Fib settings.
• Automation Ready: Alerts and strategy orders allow seamless integration with brokers or external systems.
Alert: 10m FU at Top of HourWhen an FU happens on the hour, it will typically give a good indication of direction
Pair this with negation and HCS
Candle Range Theory (CRT) +Candle Range Theory (CRT)+
Summary
Purpose: Projects a Higher Timeframe (HTF) candle’s range onto your current chart and adds a compact multi-timeframe confluence table to judge premium/discount, trend vs pullback, and alignment.
What it draws:
HTF Range: Active HTF High, Low, and the 50% Equilibrium (EQ) line. Range updates while the HTF bar is building and resets when a new HTF bar starts.
Confluence Table (optional): Up to 5 rows, each pairing a configurable HTF and LTF. Background tint shows premium/discount relative to that row’s HTF EQ. The row label reports directional state (bullish/bearish and pullback/continuation) using simple bar-close momentum checks and a configurable lookback.
How the Confluence Table works
Rows: Up to five independent HTF/LTF pairs (each row can be toggled on/off and configured).
Location: Price vs that row’s HTF EQ
Above EQ = Premium (maroon tint by default)
Below EQ = Discount (green tint by default)
Direction/State: A bar-close momentum read combined with HTF location to label:
Bullish continuation / Bearish continuation
Bullish pullback (upward momentum in discount) / Bearish pullback (downward momentum in premium)
Lookback control:
Uniform Lookback ON: HTF and LTF both use a 1-bar lookback (more responsive).
Uniform Lookback OFF: HTF uses a slightly longer lookback on higher frames for stability; LTF remains 1-bar for responsiveness.
Disclaimer:
This script is for educational and informational purposes only and does not constitute financial advice, investment advice, or trading recommendations. Trading involves substantial risk; you can lose some or all of your capital. Past performance or examples are not indicative of future results. The author provides no warranties regarding accuracy, completeness, or fitness for any purpose and disclaims liability for any losses arising from the use of this tool. Always use your own judgment, confirm on bar close, and consider multiple factors (e.g., volatility, liquidity, news) before taking any action. You are solely responsible for your trading decisions.
Navigator Range Pro+Title Navigator Range Pro+
What it is Navigator Range Pro+ is a confluence-first indicator that blends multi-timeframe (MTF) trend bias with a Dealing Range (DR) framework. It helps you quickly see when higher timeframes align and pairs that bias with clean breakout triggers from a current range. Designed to reduce noise and keep charts readable.
What you’ll see
Dealing Range: Auto-detected range top/bottom with a midline. Choose Stuck (pivot-based, fixed) or Dynamic (rolling highest/lowest) modes.
MTF Bias: Higher timeframe trend bias derived from a selectable moving average (SMA/EMA).
Compact Info Panel (table): A configurable on-chart panel that summarizes each higher timeframe’s bias, optional lower-timeframe analog labels, and a confluence tally. You can position it, resize text, and set columns/rows to fit your layout.
Clean Charting: Flip labels are optional and default to off, so alerts can fire without covering price action.
How it works
Bias engine: Computes bullish/bearish bias for each selected higher timeframe using your chosen MA length/type, then aggregates them into a confluence count.
DR engine: Finds or follows the current trading range and calculates a midline reference for signals or context.
Signals: You can use pure confluence, pure DR breakouts, or a combined “Bias + DR” confirmation for higher-quality entries.
Inputs to know
HTF Ranges (comma separated): Higher timeframes to assess (e.g., W,D,240,60,15).
MA Length/Type: Controls the bias engine’s sensitivity.
DR Mode: Stuck (pivot-based, fixed until a new pivot confirms) or Dynamic (rolling high/low by lookback).
Swing Length / Dynamic Lookback / Extend Right: Shape how the range is found and displayed.
Panel Position / Text Size / Panel Columns / Panel Rows: Customize the on-chart table.
Alerts: Min HTFs to align and Strict alignment (no opposite) to refine confluence.
Show Flip Labels on Chart: Optional visual flip labels; alerts are unaffected if kept off.
Alert conditions
Multi-TF Confluence Bullish: Minimum number of HTFs are bullish (optionally strict).
Multi-TF Confluence Bearish: Minimum number of HTFs are bearish (optionally strict).
DR Breakout Up: Close crosses above DR top.
DR Breakout Down: Close crosses below DR bottom.
Bias + DR Combo Bullish: Bullish confluence and price above your DR threshold (Midline or Top/Bottom).
Bias + DR Combo Bearish: Bearish confluence and price below your DR threshold (Midline or Top/Bottom).
Tips
For live trading, “Once per bar close” alerts are the safest and most consistent.
Increase the Min HTFs to align to reduce noise; switch Combo Threshold to Top/Bottom for fewer, stronger momentum entries.
Keep flip labels off to maintain a clean chart (alerts still fire).
Disclaimer This script is for educational and informational purposes only and does not constitute financial, investment, or trading advice. Trading involves risk, including the risk of loss. You are solely responsible for your own trading decisions. Past performance does not guarantee future results. Always test on a demo and consult a licensed professional where appropriate.
