LA - EMA Bands with MTF DashboardDetailed Explanation of the LA - EMA Bands with MTF Dashboard Indicator
This custom Pine Script v6 indicator, designed for Trading View, overlays EMA-based price channels on the chart while incorporating a multi-timeframe (MTF) dashboard for broader market context. It focuses on visualizing trend direction and momentum through three sets of EMA bands, each representing different time horizons, and extends this with a tabular dashboard that summarizes signals across user-selected timeframes. The bands help identify support, resistance, and trend shifts, while the dashboard provides at-a-glance alignment across multiple periods, aiding in confirming trades or spotting divergences. Unlike volatility-based channels (e.g., Bollinger or Keltner), it relies solely on EMAs for simplicity and lag-reduced responsiveness.
Inputs Section
The script begins with user-configurable options grouped for ease. A timeframe input allows specifying a resolution for the EMA bands' data fetching, defaulting to the chart's timeframe if left empty—this enables higher-timeframe overlays on lower charts for context.
Next, a shared source input defines the price data for all midlines, defaulting to the midpoint of high and low (hl2) but customizable to close, open, or others.
The EMA bands have dedicated toggles and length inputs for each of the three sets: the first (long-term) defaults to 144 periods, the second (medium-term) to 72, and the third (short-term) to 12. These are inlined for compact settings panels, with minimum lengths of 1 to prevent errors.
A boolean toggle controls the visibility of the MTF dashboard. Following this are nine pairs of inputs for dashboard timeframes: each pair includes a show/hide toggle and an editable timeframe string (e.g., '1' for 1-minute, 'D' for daily). Defaults progress from short (1, 3, 5 minutes) to longer (15, 30, 60 minutes, daily, weekly, monthly), grouped in inlines for organization. Only enabled and non-empty timeframes appear in the dashboard.
Helpers Section
Two utility functions are defined here. The first computes an EMA on any source series over a specified length using Trading View's built-in function, reused throughout for midlines and bands.
The second function generates a signal string ("B" for buy/bullish, "S" for sell/bearish, or "-" for neutral) based on the direction of an EMA applied to high prices. It compares the current EMA value to the previous one, mirroring the band fill logic for consistency in the dashboard.
Core Components per Band Set:
Midline: An EMA calculated on a user-selectable source price (default: hl2, which is the midpoint between high and low prices). This acts as the central trend line.
Upper Band: An EMA applied directly to the high prices of each bar.
Lower Band: An EMA applied to the low prices of each bar.
These form a channel that captures the smoothed range of price action, highlighting potential support (lower band), resistance (upper band), and overall trend direction (midline).
Multiple Band Sets: The indicator includes three independent EMA band sets, each with its own length parameter for customization:
EMA1 (default length: 144) – Focuses on long-term trends.
EMA2 (default length: 72) – Targets medium-term trends.
EMA3 (default length: 12) – Emphasizes short-term momentum.
Each set can be toggled on or off via input checkboxes, allowing users to reduce chart clutter if needed.
Visual Elements:
Midline Plot: Displayed as a line colored based on its direction compared to the previous bar: green for rising (bullish), red for falling (bearish), and black for neutral (flat).
Band Fill: The area between the upper and lower bands is filled with a semi-transparent color indicating the trend of the upper band: light green for rising (suggesting expanding highs/upward momentum) and light pink for falling (contracting highs/downward pressure). The bands themselves are plotted in blue with a thin linewidth.
Multi-Timeframe Support: Users can input a custom timeframe (e.g., 'D' for daily), and the indicator fetches data from that resolution. This enables higher-timeframe context on lower-timeframe charts, such as viewing daily EMA bands on a 1-hour chart.
Calculation Mechanics:
All EMAs are computed using Trading View's built-in ta.ema() function.
Data is retrieved in a single request.security() call for efficiency, with lookahead enabled to avoid repainting.
No multipliers or volatility adjustments are included, making it a simple EMA-based envelope rather than a true volatility channel.
In practice, this indicator helps traders identify trend strength, potential breakouts (price crossing bands), or mean-reversion opportunities (price bouncing within bands). It's particularly useful for swing or position trading where multi-period alignment (e.g., all midlines green) signals conviction.
Pros
Multi-Period Insight: By combining short (12), medium (72), and long (144) periods, it offers a layered view of trends across time horizons, helping confirm alignments or divergences without needing multiple separate indicators.
Visual Clarity: Color-coded trends and fills make it easy to spot bullish/bearish shifts at a glance, reducing analysis time.
Flexibility: Custom timeframe input allows for multi-timeframe analysis, while shared source and toggles provide user control.
Simplicity and Efficiency: Purely EMA-based, it's computationally light and avoids overcomplication, making it accessible for beginners while still useful for spotting channel-based setups like squeezes or expansions.
No Repainting: With lookahead, plots are stable once bars close.
Cons
Lagging Nature: EMAs inherently lag price action, especially longer ones like 144-period, which may cause delayed signals in fast-moving or ranging markets.
Lack of Volatility Adjustment: Unlike Keltner Channels or Bollinger Bands, it doesn't incorporate ATR or standard deviation, so bands may not accurately reflect true volatility—potentially leading to false breakouts in high-volatility environments.
Chart Clutter: Displaying all three band sets simultaneously can overcrowd the chart, particularly on lower timeframes or volatile assets.
Subjective Interpretation: Color changes and band interactions require trader discretion; there's no built-in alerting or quantitative signals, which might lead to inconsistent results.
Market Dependency: Defaults may not suit all assets (e.g., stocks vs. crypto); shorter periods like 12 could whipsaw in noisy markets, while 144 might be too slow for intraday trading.
Justification for Default Values (12, 72, and 144)
The default lengths of 12, 72, and 144 are not arbitrary but draw from established trading principles, particularly W.D. Gann's geometric and numerical theories, as well as Fibonacci sequences, to create a harmonic progression for short-, medium-, and long-term analysis. Here's the rationale:
12 (Short-Term): This is a common period for capturing recent momentum in technical indicators, often seen in setups like the MACD (which uses 12- and 26-day EMAs). It aligns with natural cycles, such as the 12 months in a year, and in Gann theory, 12 serves as a base unit for squaring price and time (e.g., in the "Square of 12" where multiples like 12, 24, etc., measure cycles in days, weeks, or months). At 12 periods, the EMA reacts quickly to price changes without excessive noise, making it ideal for short-term trend detection.
72 (Medium-Term): This acts as an intermediate bridge, derived from Gann's divisions of the 360-degree circle (a key Gann concept representing a full cycle). Specifically, 72 is 360/5 (relating to pentagonal geometry and natural harmonics) and appears in Gann's time cycle measurements (e.g., as a multiple in the Square of 12: 12×6=72). It's roughly half of 144, providing a balanced midpoint for medium-term trends without overlapping too closely with the others. In practice, 72 periods smooth out short-term fluctuations while still responding to developing trends.
144 (Long-Term): This is a powerhouse number in trading lore, being both 12 squared (12×12=144, central to Gann's "Square of 144" for monthly charts and major cycle turns, as there are 12 months in a year) and a Fibonacci sequence value (1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, 144...). Fibonacci periods are popular in moving averages for their alignment with natural growth patterns in markets, and 144 is often used for long-term regime definition (e.g., confirming trends over 144 bars). It helps identify major support/resistance in extended cycles.
Overall, these values form a geometric/harmonic series (12, 72=12×6, 144=12×12), promoting alignment with market cycles as per Gann and Fibonacci principles, rather than generic lengths like 50 or 200. They can be adjusted based on the asset or timeframe, but the defaults provide a starting point rooted in time-tested trading numerology for balanced multi-period analysis.
Please use this along with other indicators (eg. Pivot, MACD, etc) for better results.
Penunjuk dan strategi
15-Min RSI Scalper [SwissAlgo]15-Min RSI Scalper
Tracks RSI Momentum Loss and Gain to Generate Signals
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WHAT THIS INDICATOR CALCULATES
This indicator attempts to identify RSI directional changes (RSI momentum) using a step-by-step "ladder" method. It reads RSI(14) from the next higher timeframe relative to your chart. On a 15-minute chart, it uses 1-hour RSI. On a 5-minute chart, it uses 15-minute RSI, and so on.
How the ladder logic works:
The indicator doesn't track RSI all the time. It only starts tracking when RSI crosses into potentially extreme territory (these are called "events" in the code):
For sell signals : when RSI crosses above a dynamic upper threshold (typically between 60-80, calculated as the 90th percentile of recent RSI)
For buy signals : when RSI crosses below a dynamic lower threshold (typically between 20-40, calculated as the 10th percentile of recent RSI)
Once tracking begins, RSI movement is divided into 2-point steps (boxes). The indicator counts how many boxes RSI climbs or falls.
A signal generates only when:
RSI reverses direction by at least 2 boxes (4 RSI points) from its extreme
RSI holds that reversal for 3 consecutive confirmed bars
Example: Dynamic threshold is at 68. RSI crosses above 68 → tracking starts. RSI climbs to 76 (4 boxes up). Then it drops back to 72 and stays below that level for 3 bars → sell signal prints. The buy signal works the same way in reverse.
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SIGNAL GENERATION METHODOLOGY
Sell Signal (Red Triangle)
RSI crosses above a dynamic start level (calculated as the 90th percentile of the last 1000 bars, constrained between 60-80)
Indicator tracks upward progression in 2-point boxes
RSI reverses and drops below a boundary 2 boxes below the highest box reached
RSI remains below that boundary for 3 confirmed bars
Red triangle plots above price
Reset condition: RSI returns below 50
Buy Signal (Green Triangle)
RSI crosses below a dynamic start level (10th percentile of last 1000 bars, constrained between 20-40)
Indicator tracks downward progression in 2-point boxes
RSI reverses and rises above a boundary 2 boxes above the lowest box reached
RSI remains above that boundary for 3 confirmed bars
Green triangle plots below price
Reset condition: RSI returns above 50
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TECHNICAL PARAMETERS
All parameters are hardcoded:
RSI Period: 14
Box Size: 2 RSI points
Reversal Threshold: 2 boxes (4 RSI points)
Confirmation Period: 3 bars
Reset Level: RSI 50
Sell Start Range: 60-80 (dynamic)
Buy Start Range: 20-40 (dynamic)
Lookback for Percentile: 1000 bars
Note: Since the code is open source, users can modify these hardcoded values directly in the script to adjust sensitivity. For example, increasing the confirmation period from 3 to 5 bars will produce fewer but more conservative signals. Decreasing the box size from 2 to 1 will make the indicator more responsive to smaller RSI movements.
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KEY FEATURES
Automatic Higher Timeframe RSI
When applied to a 15-minute chart, the indicator automatically reads 1-hour RSI data. This is the next standard timeframe above 15 minutes in the indicator's logic.
Dynamic Adaptive Start Levels
Sell signals use the 90th percentile of RSI over the last 1000 bars, constrained between 60-80. Buy signals use the 10th percentile, constrained between 20-40. These thresholds recalculate on each bar based on recent data.
Ladder Box System
RSI movements are tracked in 2-point boxes. The indicator requires a 2-box reversal followed by 3 consecutive bars maintaining that reversal before generating a signal.
Dual Signal Output
Red down-triangles plot above price when the sell signal conditions are met. Green up-triangles plot below the price when buy signal conditions are met.
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REPAINTING
This indicator does not repaint. All calculations use "barstate.isconfirmed" to ensure signals appear only on closed bars. The request.security() call uses lookahead=barmerge.lookahead_off to prevent forward-looking bias.
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INTENDED CHART TIMEFRAME
This indicator is designed for use on 15-minute charts. The visual reminder table at the top of the chart indicates this requirement.
On a 15-minute chart:
RSI data comes from the 1-hour timeframe
Signals reflect 1-hour momentum shifts
3-bar confirmation equals 45 minutes of price action
Using it on other timeframes will change the higher timeframe RSI source and may produce different behavior.
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WHAT THIS INDICATOR DOES NOT DO
Does not predict future price movements
Does not provide entry or exit advice
Does not guarantee profitable trades
Does not replace comprehensive technical analysis
Does not account for fundamental factors, news events, or market structure
Does not adapt to all market conditions equally
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EDUCATIONAL USE
This indicator demonstrates one approach to momentum reversal detection using:
Multi-timeframe analysis
Adaptive thresholds via percentile calculation
Step-wise momentum tracking
Multi-bar confirmation logic
It is designed as a technical study, not a trading system. Signals represent calculated conditions based on RSI behavior, not trade recommendations. Always do your own analysis before taking market positions.
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RISK DISCLOSURE
Trading involves substantial risk of loss. This indicator:
Is for educational and informational purposes only
Does not constitute financial, investment, or trading advice
Should not be used as the sole basis for trading decisions
Has not been tested across all market conditions
May produce false signals, late signals, or no signals in certain conditions
Past performance of any indicator does not predict future results. Users must conduct their own analysis and risk assessment before making trading decisions. Always use proper risk management, including stop losses and position sizing appropriate to your account and risk tolerance.
MIT LICENSE
This code is open source and provided as-is without warranties of any kind. You may use, modify, and distribute it freely under the MIT License.
OB + EMA100/200 + FVG [INTRADING]A powerful all-in-one tool for Smart Money Concepts (SMC) and price action traders, combining three core market structure elements into a clean, customizable visual framework:
Order Blocks (OB): Automatically detects bullish and bearish order blocks after fractal breaks (3-bar or 5-bar). Choose to display blocks based on candle body or wick, and optionally filter only those followed by a Fair Value Gap.
Fair Value Gaps (FVG): Highlights imbalance zones as semi-transparent rectangles with percentage-based filtering. Gaps are automatically removed once price returns to fill them.
EMA 100 & EMA 200: Built-in trend filters (yellow and blue) to help align trades with the broader market direction.
🔹 Fully customizable: adjust line style, color, thickness, and length
🔹 Optional fractal markers for clearer structure identification
🔹 Auto-cleanup: OB lines and FVG zones disappear after being filled
🔹 Watermark-free chart space with subtle author credit
Perfect for traders using ICT, SMC, or institutional order flow strategies who need precise, uncluttered visuals to spot high-probability reversal and continuation zones.
Author: @Denis_IT_Trade
Adaptive Trend CatcherAdaptive Trend Catcher is a custom-built indicator designed to help traders identify and follow market direction with precision. It combines adaptive trend logic with a Hull Moving Average base, ATR-driven dynamic bands, CCI filtering, and hysteresis to reduce false signals. Sensitivity automatically adjusts during high-volatility moves, and built-in alerts notify you instantly when bullish or bearish momentum shifts occur. This makes it a versatile tool for both day traders and swing traders looking to stay ahead of trend reversals in real time.
TOPPER CARORPATI (Non-Repaint, Lookahead On)________________________________________
Warning:
• While this indicator aids in decision-making and risk management, no indicator is 100% accurate.
• Always consider broader market conditions and apply sound risk management techniques.
Global Risk Terminal – Multi-Asset Macro Sentiment IndicatorDescription:
The Global Risk Terminal is a sophisticated macro sentiment indicator that synthesizes signals from three key cross-asset relationships to produce a single, actionable risk appetite score. It is designed to help traders and investors identify whether global markets are in a risk-on (growth-seeking) or risk-off (defensive) regime. The indicator analyzes the behavior of commodities, equities, bonds, and currencies to generate a comprehensive view of market conditions.
Indicator Output:
The Global Risk Terminal produces a normalized risk score ranging from -1 to +1:
Positive values indicate risk-on conditions (growth assets favored)
Negative values indicate risk-off conditions (safe-haven assets favored)
Core Components:
Growth Pulse (Copper to Gold Ratio, HG/GC)
Purpose: Measures investor preference for industrial growth versus safe-haven assets.
Interpretation:
Rising ratio → Copper outperforming gold → Risk-on environment
Falling ratio → Gold outperforming copper → Risk-off environment
Flat ratio → Transitional market phase
Technical Implementation: Dual moving average slope method (fast MA default 20, slow MA default 40). Positive slope = +1, negative slope = -1, flat slope = 0
Equity Rotation (Russell 2000 to S&P 500 Ratio, RTY/ES)
Purpose: Tracks rotation between small-cap and large-cap equities, revealing market risk appetite.
Interpretation:
Rising ratio → Small-caps outperforming → Strong risk-on
Falling ratio → Large-caps outperforming → Defensive positioning
Technical Implementation: Dual moving average slope method (same as Growth Pulse)
Flow Gauge (10-Year Treasury to US Dollar Index, ZN/DXY)
Purpose: Captures liquidity conditions and cross-asset capital flows.
Interpretation:
Rising ratio → Treasury prices rising or USD weakening → Liquidity expansion, risk-on environment
Falling ratio → Treasury prices falling or USD strengthening → Liquidity contraction, risk-off environment
Technical Implementation: Dual moving average slope method
Composite Risk Score Calculation:
Analyze each component for trend using dual moving averages
Assign signal values: +1 (risk-on), -1 (risk-off), 0 (neutral)
Average the three signals:
Risk Score = (Growth Pulse + Equity Rotation + Flow Gauge) / 3
Optional smoothing with exponential moving average (default 3 periods) to reduce noise
Interpreting the Risk Score:
+0.66 to +1.0: Full risk-on – favor cyclical sectors, small-caps, growth strategies
+0.33 to +0.66: Moderate risk-on – mostly bullish environment, watch for fading momentum
-0.33 to +0.33: Neutral/transition – markets in flux, signals mixed, exercise caution
-0.66 to -0.33: Cautious risk-off – favor defensive sectors, reduce high-beta exposure
-1.0 to -0.66: Full risk-off – strong defensive positioning, prioritize safe-haven assets
How to Use the Global Risk Terminal to Frame Trades:
Aligning Trades with Market Regime
Risk-On (+0.33 and above): Look for buying opportunities in cyclical stocks, high-beta equities, commodities, and emerging markets. Use long entries for swing trades or intraday positions, following confirmed price action.
Risk-Off (-0.33 and below): Shift focus to defensive sectors, large-cap quality stocks, U.S. Treasuries, and safe-haven currencies. Prefer short entries or reduced exposure in risky assets.
Entry and Exit Framing
Use the risk score as a macro filter before executing trades:
Example: The risk score is +0.7 (strong risk-on). Prefer long positions in equities or commodities that are showing bullish confirmation on your regular chart.
Conversely, if the risk score is -0.7 (strong risk-off), avoid aggressive longs and consider short or defensive trades.
Watch for threshold crossings (+/-0.33, +/-0.66) as potential inflection points for adjusting position size, stop-loss levels, or sector rotation.
Confirming Trade Decisions
Combine the Global Risk Terminal with price action, volume, and trend indicators:
If equities rally but the risk score is declining, this may indicate a fragile rally driven by few leaders—trade cautiously.
If equities fall but the risk score is rising, consider counter-trend entries or buying dips.
Risk Management and Position Sizing
Strong alignment across components → increase position size and hold with wider stops
Mixed or neutral signals → reduce exposure, tighten stops, or avoid new trades
Defensive regimes → rotate into stable, low-volatility assets and increase cash buffer
Framing Trades Across Timeframes
Use the indicator as a strategic guide rather than a precise timing tool. Even without the MTF table:
Daily trend alignment → Guide swing trade bias
Shorter timeframe price action → Refine entry points and stop placement
Example: Daily chart shows +0.6 risk score → identify high-probability long setups using intraday technical patterns (breakouts, trend continuation).
Sector and Asset Rotation
Risk-On: Focus on cyclical sectors (financials, industrials, materials, energy), small-caps, high-beta instruments
Risk-Off: Focus on defensive sectors (utilities, consumer staples, healthcare), large-caps, safe-haven instruments
Alert Integration
Set alerts on the risk score to notify you when markets move from neutral to risk-on or risk-off regimes. Use these alerts to plan entries, exits, or portfolio adjustments in advance.
Customization Options:
Moving Average Length (5–100): Adjust sensitivity of trend detection
Score Smoothing (1–10): Reduce noise or see raw risk score
Visual Themes: Six preset themes (Cyber, Ocean, Sunset, Monochrome, Matrix, Custom)
Display Options: Show or hide component dashboards, main header, risk level lines, gradient fill, and component signals
Label Size: Tiny, Small, Normal, Large
Alert Conditions:
Risk score crosses above +0.66 → Strong risk-on
Risk score crosses below -0.66 → Strong risk-off
Risk score crosses zero → Neutral line
Risk score crosses above +0.33 → Moderate risk-on
Risk score crosses below -0.33 → Moderate risk-off
Data Sources:
HG1! – Copper Futures (COMEX)
GC1! – Gold Futures (COMEX)
RTY1! – Russell 2000 E-mini Futures (CME)
ES1! – S&P 500 E-mini Futures (CME)
ZN1! – 10-Year U.S. Treasury Note Futures (CBOT)
DXY – U.S. Dollar Index (ICE)
Notes and Limitations:
Works best during clear macro regimes and aligned trends
Use with price action, volume, and other technical tools
Not a standalone trading system; serves as a macro context filter
Equal weighting assumes all three components are equally important, but market conditions may vary
Past performance does not guarantee future results
Conclusion:
The Global Risk Terminal consolidates complex cross-asset signals into a simple, actionable score that informs market regime, portfolio positioning, sector rotation, and trading decisions. Its user-friendly layout and extensive customization options make it suitable for traders of all experience levels seeking macro-driven insights. By framing trades around risk score thresholds and combining macro context with tactical execution, traders can identify higher-probability opportunities and optimize position sizing, entries, and exits across a wide range of market conditions.
NSF/NBF Boxes📘 NSF / NBF Extended Boxes (Wyckoff–VSA Smart Zones)
This indicator automatically detects No Supply (NSF) and No Buying / No Demand (NBF) bars using Wyckoff–VSA principles and marks them with extended boxes and a dashed 50% midline.
🟢 NSF (No Supply) — Bullish accumulation signal
🔴 NBF (No Demand) — Bearish distribution signal
Each box extends forward in time to highlight key supply/demand zones, while the dashed midline represents the equilibrium level within that bar.
When price later retests this 50% level, the script triggers a visual marker and an alert condition, helping you spot potential reversals or continuation confirmations.
🧠 Core Features
Automatic detection of No Supply / No Demand bars
Extended boxes with adjustable length and auto-extension
Midline (50%) retest alerts for precise trade timing
Optional EMA trend filter, volume check, and close bias
Works even on symbols without volume data (crypto, indices, FX)
“Test Mode” included for easy visualization and debugging
⚙️ Usage Tips
Use on 5m–4h charts for crypto or stocks to spot professional activity.
Combine with Wyckoff, VSA, or Smart Money Concepts to confirm accumulation/distribution phases.
Look for NSF retests near support in a downtrend → possible long entry.
Look for NBF retests near resistance in an uptrend → possible short entry.
🧩 Parameters
Ignore Volume: disables volume filters for markets with missing data
Use EMA Trend Filter: only confirm signals in direction of trend
Auto-extend Boxes: keeps zones projecting into future bars
Retest Alerts: triggers when price touches midline after formation
💡 Author’s Note
This tool visualizes the often-hidden behavior of smart money absorption and weak demand exhaustion.
Use it as part of a complete trading plan — not as a standalone buy/sell signal
Camarilla Pivots + 20 EMA StrategyThis is an intraday volatility and trend-following system for commodities like Natural Gas, combining dynamic pivot levels (Camarilla) with a trend filter (20-period EMA) to improve risk-reward and reduce false breakouts.
Core Components
1. Camarilla Pivots:
These are special support and resistance levels (H3, H4, L3, L4) calculated each day based on the previous day's high, low, and close.
The pivots adapt to daily volatility, giving more relevant breakout and bounce zones than static lines.
H4: Aggressive resistance (used for breakout LONG entry)
H3: Moderate resistance/support (used for bounce or stoploss)
L4: Aggressive support (used for breakout SHORT entry)
L3: Moderate support/resistance (used for bounce or stoploss)
2. 20 EMA (Exponential Moving Average):
Plotted on the 30-minute chart, this acts as a trend filter.
If the price is above 20 EMA: Only look for long trades (bullish bias).
If below 20 EMA: Only look for short trades (bearish bias).
How the Strategy Works
Setup (30-Min Chart):
Camarilla pivots for the day are drawn on the chart.
20 EMA is also plotted.
Trade Filter:
Bullish: Trade ONLY if price is above 20 EMA.
Bearish: Trade ONLY if price is below 20 EMA.
Entry:
LONG: Enter when price breaks and closes above the H4 pivot AND is above 20 EMA.
SHORT: Enter when price breaks and closes below the L4 pivot AND is below 20 EMA.
Stop Loss:
LONG: Place stoploss at H3 (the next lower Camarilla resistance).
SHORT: Place stoploss at L3 (the next higher Camarilla support).
Target:
Always set a profit target at 2x the distance (risk) between entry and stoploss (strict R:R 2).
For example, if your entry is at H4 and stoploss at H3, your target is entry + 2*(entry - stoploss).
Alerts & Visuals:
The strategy plots entry arrows, stoploss and target lines for immediate visual reference.
Alerts trigger on breakout signals so you never miss a trade.
Why This Works Well for Natural Gas
Adapts to volatility: The pivots change daily, handling wide-ranging and choppy price moves better than fixed breakouts.
Trend filter: EMA prevents counter-trend whipsaws, only trades with market momentum.
Risk control: Every trade must meet strict risk-reward criteria, so losses are contained and winners can outweigh losers.
FibNavigator XUnlike standard Fibonacci indicators, FibNavigator X automatically integrates multiple timeframes—today, yesterday, this week, last week, this month, and this year—into a single chart.
Multi-timeframe integration (auto plotting)
Color-coded for each timeframe
Easy comparison across periods
一般的なフィボナッチインジケーターが日足や手動線表示に限られるのに対し、FibNavigator Xは複数時間軸（日次・前日・週次・先週・月次・年次）を自動統合して表示します。
複数時間軸の自動統合表示
各期間ごとの色分けで見やすい
過去期間との簡単比較
Delta Profile - OnlyFlowThis script plots a horizontal profile of trading activity based on a chosen lookback window. It can be displayed either as a Volume Profile or as a Delta Profile:
Volume Profile: shows the distribution of total traded volume at each price level.
Delta Profile: approximates buying vs. selling activity by measuring volume signed with candle direction, highlighting where positive or negative pressure was strongest.
Features
Adjustable row size (in ticks) to control price-level granularity.
Configurable lookback window and profile width.
Profiles are drawn on the right side of the chart, with optional offset.
Bars are color-coded: blue for positive delta, red for negative delta, and gray for neutral.
Optional numeric labels show either delta values or volume, with formatting options (K/M/B suffixes, decimal places, text size).
Usage
Enable Volume Profile to view how volume is distributed across price, or switch to Delta Profile to emphasize directional imbalances. The profile updates on the most recent bar and helps visualize where trading interest is concentrated during the selected lookback range.
Daily H/L/M + Open + VWAP + BB + LRC + Session BiasGreat indicator to understand session bias, price high low middle open and great to create a non repainting price action based trading strategy specially for option...
JW Clean Adaptive Channel//@version=5
indicator("JW Clean Adaptive Channel", overlay=true)
// Inputs
emaFast = input.int(20, "EMA Fast")
emaMid = input.int(50, "EMA Mid")
emaSlow = input.int(200, "EMA Slow")
atrLen = input.int(14, "ATR Length")
regLen = input.int(100, "Regression Window")
multATR = input.float(2.0, "Channel Width x ATR", step=0.1)
baseATR = input.int(50, "ATR Baseline")
volCap = input.float(2.5, "Max Vol Mult", step=0.1)
// EMAs
ema20 = ta.ema(close, emaFast)
ema50 = ta.ema(close, emaMid)
ema200 = ta.ema(close, emaSlow)
plot(ema20, "EMA 20", color=color.lime)
plot(ema50, "EMA 50", color=color.yellow)
plot(ema200, "EMA 200", color=color.orange, linewidth=2)
// Adaptive regression channel
atr = ta.atr(atrLen)
bAtr = ta.sma(atr, baseATR)
vRat = bAtr == 0.0 ? 1.0 : math.min(atr / bAtr, volCap)
width = atr * multATR * vRat
basis = ta.linreg(close, regLen, 0)
upper = basis + width
lower = basis - width
slope = basis - basis
chanColor = slope > 0 ? color.lime : slope < 0 ? color.red : color.gray
pU = plot(upper, "Upper", color=chanColor)
pL = plot(lower, "Lower", color=chanColor)
pB = plot(basis, "Basis", color=color.gray)
fill(pU, pL, color=color.new(chanColor, 85))
// Candle and background color
ribbonBull = ema20 > ema50 and ema50 > ema200
ribbonBear = ema20 < ema50 and ema50 < ema200
barcolor(ribbonBull ? color.lime : ribbonBear ? color.red : na)
bgcolor(slope > 0 ? color.new(color.green, 85) : slope < 0 ? color.new(color.red, 85) : na)
// MACD buy/sell markers
= ta.macd(close, 12, 26, 9)
buySig = ta.crossover(macdLine, sigLine) and slope > 0
sellSig = ta.crossunder(macdLine, sigLine) and slope < 0
plotshape(buySig, title="Buy", style=shape.triangleup, color=color.lime, location=location.belowbar, size=size.tiny)
plotshape(sellSig, title="Sell", style=shape.triangledown, color=color.red, location=location.abovebar, size=size.tiny)
// Trend strength label (single-line calls; no dangling commas)
strength = slope * vRat * 1000.0
string tText = "Sideways"
color tCol = color.gray
if strength > 2
tText := "Strong Uptrend"
tCol := color.lime
else if strength > 0.5
tText := "Weak Uptrend"
tCol := color.new(color.lime, 40)
else if strength < -2
tText := "Strong Downtrend"
tCol := color.red
else if strength < -0.5
tText := "Weak Downtrend"
tCol := color.new(color.red, 40)
var label tLbl = na
if barstate.islast
if not na(tLbl)
label.delete(tLbl)
tLbl := label.new(x=bar_index, y=high, text=tText, style=label.style_label_right, textcolor=color.white, color=tCol, size=size.normal, yloc=yloc.price)
// 10-day breakout alerts
hi10 = ta.highest(high, 10)
lo10 = ta.lowest(low, 10)
alertcondition(close > hi10, title="10-Day High Break", message="{{ticker}} 10D HIGH @ {{close}}")
alertcondition(close < lo10, title="10-Day Low Break", message="{{ticker}} 10D LOW @ {{close}}")
alertcondition(buySig, title="Buy Alert", message="BUY {{ticker}} @ {{close}}")
alertcondition(sellSig, title="Sell Alert", message="SELL {{ticker}} @ {{close}}")
Billionaire Gold ClubBillionaire Gold Club
Obey the rules, and you will always win.
Overview
Use Billionaire Gold Club when trading Gold (XAUUSD).
Follow the long-term bullish bias of gold and focus only on Buy opportunities.
Do not look for Sell signals — this tool is built to tell you when to enter and when to wait.
Instructions
Plot 7MA and 200MA on your chart.
When 7MA crosses above 200MA, treat it as a BUY signal. Enter long positions.
When 7MA crosses below 200MA, mark it as Stand by. Do not sell. Wait for the next BUY signal.
Usage Rules
Trade only on 15-minute or higher timeframes.
If you use it on timeframes below 15 minutes, treat it as day trading and close your trade within the same day. Do not hold overnight.
Aim for long-term holding. Keep your lot size small and protect your account.
Signal Guide
🟢 BUY Signal → Enter the trend.
🟠 Stand by Signal → Stop buying. Wait patiently.
Alerts
Set an alert on BUY Signal to know when a Golden Cross is confirmed.
Set an alert on Stand by Signal to know when a Death Cross is confirmed.
Always set alerts to Once per bar close.
Billionaire Gold Club はゴールド（XAUUSD）専用に設計されたトレード支援インジケーターです。
ゴールドの長期的な上昇バイアスを前提とし、Buy シグナルのみを重視します。
Sell シグナルは排除し、「仕込み」と「様子見」に特化しています。
ルールを守れば必ず勝てるというとてもシンプルなコンセプトで構築されています。
仕組み
7MA（短期移動平均線） と 200MA（長期移動平均線） を表示
ゴールデンクロス（7MAが200MAを上抜け）
→ BUY サイン（緑背景・BUYラベル）
デッドクロス（7MAが200MAを下抜け）
→ Stand by サイン（オレンジ背景・Stand byラベル）
使い方
推奨時間足：15分足以上（特に4時間足・日足・週足が最適）
短期足（15分未満）での使用：持ち越さずデイトレードでの使用をしましょう
長期保有を目的とした設計のため、ロットサイズには十分注意してください
このルールを守れば、かなり高い確率で勝つことができます
シグナル解釈
🟢 BUY サイン
→ 長期トレンド再開の仕込みポイント
🟠 Stand by サイン
→ 調整フェーズ。「次の買い場待ち」を意味します
アラート機能
BUY Signal：ゴールデンクロス確定時に通知
Stand by Signal：デッドクロス確定時に通知
アラートは「バー確定ごと（Once per bar close）」で設定してください
健闘を祈ります。頑張りましょう
Triple Close Indicator (TCI)Triple Close Indicator (TCI)
Overview:
The Triple Close Indicator (TCI) is a trend-following and entry signal tool designed to simplify market decision-making. Using a 50-period moving average (MA) as the primary trend filter, TCI identifies consecutive close patterns to generate high-probability bullish and bearish entry signals. Its clean design ensures minimal chart clutter while highlighting actionable points.
How It Works:
Trend Identification
The 50 MA is the core trend filter:
Price above 50 MA → bullish trend
Price below 50 MA → bearish trend
Signal Lines (Green/Red Lines)
Green Line: Marks every 3rd consecutive higher close
Red Line: Marks every 3rd consecutive lower close
Signal lines extend 6 bars forward for reference
Users can customize line width, transparency, and style (solid/dotted)
Entry Signals (Triangles)
Bullish Entry:
Green line above 50 MA → look for a candle closing above this line within the next configurable lookback window (default 5 bars)
Red line above 50 MA → if a candle closes above this line within the lookback window, bullish entry is triggered
Bearish Entry:
Red line below 50 MA → look for a candle closing below this line within the lookback window
Green line below 50 MA → if a candle closes below this line within the lookback window, bearish entry is triggered
Visuals
50 MA line – yellow, main trend filter
Signal lines – green/red with customizable width, transparency, and style
Entry triangles – lime for bullish, red for bearish
Alerts are available for real-time notifications
How to Use Effectively:
Trend Confirmation
Only take long entries above 50 MA and short entries below 50 MA
Avoid counter-trend entries to reduce false signals
Signal Validation
Wait for a candle close beyond the signal line to confirm the entry
Use the configurable lookback window to capture the most recent valid candle
Combine with Other Filters (Optional)
Use volume, ATR, or RSI to filter low-probability setups
Multi-timeframe analysis can enhance signal reliability
Alerts
Use built-in TradingView alerts for real-time execution
Customize messages for notifications on mobile, email, or webhook
Inputs & Customization:
MA Type & Length: Choose SMA, EMA, WMA, or VWMA for 50 MA
Signal Line Colors: Green (bullish), Red (bearish)
Line Width & Transparency: Adjust visual clarity
Line Style: Solid or Dotted
Lookback Window: Number of bars to check for valid entry after a signal line
Best Practices:
Use higher timeframes (1H, 4H, daily) for more reliable signals
Avoid trading in tight consolidation zones; the indicator works best in trending markets
Combine with risk management: define stop-loss below/above signal lines or ATR multiples
⚡ QUANTUM MOMENTUM ⚡Overview
Quantum Momentum is a sophisticated technical analysis tool designed to help traders identify relative strength between assets through advanced momentum comparison. This cyberpunk-themed indicator visualizes momentum dynamics between your current trading symbol and any comparison asset of your choice, making it ideal for pairs trading, crypto correlation analysis, and multi-asset portfolio management.
Key Features
📊 Multi-Asset Momentum Comparison
Dual Symbol Analysis: Compare momentum between your chart symbol and any other tradable asset
Real-Time Tracking: Monitor relative momentum strength as market conditions evolve
Difference Visualization: Clear histogram display showing which asset has stronger momentum
🎯 Multiple Momentum Calculation Methods
Choose from four different momentum calculation types:
ROC (Rate of Change): Traditional percentage-based momentum measurement
RSI (Relative Strength Index): Oscillator-based momentum from 0-100 range
Percent Change: Simple percentage change over the lookback period
Raw Change: Absolute price change in native currency units
📈 Advanced Trend Filtering System
Enable optional trend filters to align momentum signals with prevailing market direction:
SMA (Simple Moving Average): Classic trend identification
EMA (Exponential Moving Average): Responsive trend detection
Price Action: Identifies trends through higher highs/lows or lower highs/lows patterns
ADX (Average Directional Index): Measures trend strength with customizable threshold
🎨 Futuristic Cyberpunk Design
Neon Color Scheme: Eye-catching cyan, magenta, and matrix green color palette
Glowing Visual Effects: Enhanced visibility with luminescent plot lines
Dynamic Background Shading: Subtle trend state visualization
Real-Time Data Table: Sleek information panel displaying current momentum values and trend status
How It Works
The indicator calculates momentum for both your current chart symbol and a comparison symbol (default: BTC/USDT) using your selected method and lookback period. The difference between these momentum values reveals which asset is exhibiting stronger momentum at any given time.
Positive Difference (Green): Your chart symbol has stronger momentum than the comparison asset
Negative Difference (Pink/Red): The comparison asset has stronger momentum than your chart symbol
When the trend filter is enabled, the indicator will only display signals that align with the detected market trend, helping filter out counter-trend noise.
Settings Guide
Symbol Settings
Compare Symbol: Choose any tradable asset to compare against (e.g., major indices, cryptocurrencies, forex pairs)
Momentum Settings
Momentum Length: Lookback period for momentum calculations (default: 14 bars)
Momentum Type: Select your preferred momentum calculation method
Display Options
Toggle visibility of current symbol momentum line
Toggle visibility of comparison symbol momentum line
Toggle visibility of momentum difference histogram
Optional zero line reference
Trend Filter Settings
Use Trend Filter: Enable/disable trend-based signal filtering
Trend Method: Choose from SMA, EMA, Price Action, or ADX
Trend Length: Period for trend calculations (default: 50)
ADX Threshold: Minimum ADX value to confirm trend strength (default: 25)
Best Use Cases
✅ Pairs Trading: Identify divergences in momentum between correlated assets
✅ Crypto Market Analysis: Compare altcoin momentum against Bitcoin or Ethereum
✅ Stock Market Rotation: Track sector or index relative strength
✅ Forex Strength Analysis: Monitor currency pair momentum relationships
✅ Multi-Timeframe Confirmation: Use alongside other indicators for confluence
✅ Mean Reversion Strategies: Spot extreme momentum divergences for potential reversals
Visual Indicators
⚡ Cyan Line: Your chart symbol's momentum
⚡ Magenta Line: Comparison symbol's momentum
📊 Green/Pink Histogram: Momentum difference (positive = green, negative = pink)
▲ Green Triangle: Bullish trend detected (when filter enabled)
▼ Red Triangle: Bearish trend detected (when filter enabled)
◈ Yellow Diamond: Neutral/sideways trend (when filter enabled)
Pro Tips
💡 Look for crossovers between the momentum lines as potential trade signals
💡 Combine with volume analysis for stronger confirmation
💡 Use momentum divergence (price making new highs/lows while momentum doesn't) for reversal signals
💡 Enable trend filter during ranging markets to reduce false signals
💡 Experiment with different momentum types to find what works best for your trading style
Technical Requirements
TradingView Pine Script Version: v6
Chart Type: Works on all chart types
Indicator Placement: Separate pane (overlay=false)
Data Requirements: Needs access to comparison symbol data
Trader Assistant 2Title
Trader Assistant 2 — Multi‑Timeframe ATR Volatility and Intrabar Range Monitor
Summary
Trader Assistant 2 is a compact, multi‑timeframe dashboard that helps you instantly gauge market conditions across 1m, 5m, 15m, 30m, 1h, and 4h. It blends two ATR‑based views:
- Volatility regime: current ATR vs its baseline (ATR moving average).
- Intrabar range usage: how much of ATR the current bar has already traveled from its open.
Each timeframe is color‑coded by the worst of the two signals, so you see risk and heat at a glance. An optional lead cell summarizes active alerts and lists the timeframes that triggered them.
What you see on the chart
- Single‑row table positioned at the bottom‑right of the chart.
- One cell per enabled timeframe:
- Green (soft): normal conditions
- Orange: elevated risk/volatility
- Red: high/critical risk/volatility
- Text turns white when a warning/critical condition is present
- Optional “alert” cell on the left:
- Yellow when any warning is present
- Red when any critical condition is present
- Message indicates which timeframes fired due to Volatility and/or ATR usage (e.g., “Volatility (5m, 15m) | ATR (1m)”)
How it works (high level)
- Volatility regime: compares current ATR to a smoothed ATR baseline. If the ratio exceeds your Elevated or High thresholds, the timeframe escalates to orange or red.
- Intrabar ATR usage: measures absolute distance from the bar’s open. If the move exceeds your Yellow or Red percentage of ATR, the timeframe escalates accordingly.
- Combined color: the cell shows the highest severity between the two checks.
Mermaid (logic overview)
flowchart LR
A --> B
B --> C
C --> D{Vol Severity(Normal/Elevated/High)}
E --> F
F --> G{ATR Usage Severity(Normal/Yellow/Red)}
D --> H
G --> H
H --> I
H --> J
Inputs and defaults
- Timeframe toggles: 1m, 5m, 15m, 30m, 1h, 4h (enable/disable any mix)
- ATR periods per timeframe (defaults):
- 1m: 60
- 5m: 24
- 15m: 16
- 30m: 14
- 1h: 12
- 4h: 12
- ATR baseline smoothing:
- Moving average period: 20 (used to compare current ATR vs average)
- Volatility thresholds (percent of baseline):
- Elevated: 80%
- High: 120%
- Intrabar ATR usage thresholds:
- Yellow: 50% of ATR
- Red: 75% of ATR
Typical use cases
- Session open scan: Quickly see where heat is building and which timeframes require caution.
- News and high‑impact events: Identify heightened conditions before entering or managing positions.
- Trade filtering: Avoid entries during red conditions or tighten risk; favor normal/green regimes for cleaner structure.
- Risk sizing: Reduce size or switch to passive management when multiple timeframes show elevated/high conditions.
Tips and best practices
- Threshold tuning: Different markets/venues need different percentages. Start with defaults, then adjust to your symbol’s volatility.
- Baseline smoothing: Increase the MA period to reduce noise in the volatility regime.
- Multi‑TF alignment: When higher timeframes turn orange/red, treat lower‑TF signals with extra caution.
- Combine with structure and volume tools for a complete decision framework.
Notes and limitations
- Visual monitor: This is an on‑chart dashboard/visual alert. It does not emit TradingView alert() notifications.
- Multi‑timeframe behavior: Values update according to each source timeframe’s bar closes.
- Strategy‑agnostic: This does not generate buy/sell signals. Use it for context, regime awareness, and risk control.
- Educational only: Not financial advice. Always backtest and validate on your own instruments.
Color legend
- Green: Normal conditions
- Orange: Elevated volatility and/or significant intrabar range usage
- Red: High/critical conditions (exercise caution)
- Yellow alert cell: Warning present in at least one timeframe
- Red alert cell: Critical condition present in at least one timeframe
Quick start
1) Add the indicator to your chart.
2) Enable the timeframes relevant to your trading horizon.
3) Keep defaults or tune ATR periods and thresholds to your symbol.
4) Read the row from left to right: alert cell (if present), then timeframes. Prioritize management when you see orange/red, and be selective with entries during heat.
AMF PG Strategy v2.3 The AMF PG Strategy (Praetorian Guard) is an advanced trading system designed to seamlessly adapt to market conditions. Its unique structure balances precise entries with intelligent protection, giving traders confidence in both trending and volatility environments.
Key points include:
Adaptive Core (AMF Engine) – A dynamic framework that automatically adjusts for clearer long- and short-term opportunities and generates a robust tracking line.
Praetorian Guard – A built-in protective shield that activates in extreme conditions and helps stabilize performance when markets become turbulent.
Versatility – Effective across multiple timeframes, from scalping to swing trading, without constant parameter adjustments.
Clarity – Clear visual signals and color-coded monitoring for instant decision-making.
This strategy is designed for traders who want more than just entries and exits; it offers a command center for disciplined, adaptable, and resilient trading.
Disclaimer:
It should be noted that no strategy is guaranteed. This strategy does not provide buy-sell-hold advice. Responsibility rests with the user.
Version 2.3: Bugs overlooked in Version 2 have been corrected and improvements have been made.
SWR Label SystemSWR Label System -- Sweep · Wait · Reclaim
The SWR Label System is a visual trading companion built to highlight liquidity events and institutional reactions in real time.
It automatically detects:
• 🌀 Sweep – liquidity grabs beyond recent highs or lows
• 🔁 Reclaim – price closing back across the swept level
• 🔊 Volume Spike – significant surges beyond average activity
When all three align, the script plots 🚀 SWR Long or 🔻 SWR Short labels with default 2:1 risk-to-reward targets for rapid evaluation.
Each label includes Entry, Take Profit, and Stop Loss values (Entry ± 2% / 1% by default).
These defaults are for illustration only -- it’s best to adapt TP / SL levels to recent structure, highs, and lows for precision risk management.
Optional toggles allow you to show or hide sweep, reclaim, and volume markers individually, plus a cooldown feature to reduce signal clutter.
⚠️ Educational use only -- not financial advice. Always confirm structure, volume, and context before trading live funds.
Key-Levels - D/W/M High-Low + Fib + MA🧭 Key-Levels – D/W/M High-Low + Fibonacci + Moving Averages
A complete multi-timeframe analysis toolkit that combines Daily, Weekly, and Monthly high/low levels, Fibonacci retracements, and customizable moving averages — all in one clean, efficient display.
Ideal for traders who want to identify key reaction zones, retracement levels, and trend alignment across multiple timeframes.
🔹 Features
1. Prior High/Low Levels
Plots Daily (PDH/PDL), Weekly (PWH/PWL), and Monthly (PMH/PML) key levels
Adjustable colors, styles (Solid / Dashed / Dotted), and line widths
Optional midline display for each timeframe
Displays live labels with price values and % difference from current close
Extend lines rightward to project future price interactions
2. Fibonacci Retracement
Auto-detects swing highs/lows using configurable pivot lengths
Smart pivot logic prioritizes major swings based on % span
Auto-orients retracements depending on trend direction
Customizable visibility and color for each Fibonacci level
Supports 0.236 → 1.618 levels, with optional auto-extension in uptrend scenarios
Displays ratio + price for each level label
3. Pivot Labels
Optionally show pivot high/low labels with customizable text and background colors
Independent control of left/right length and label style
4. Moving Averages
Up to three customizable MAs (default: 8 EMA, 21 EMA, 50 SMA)
Choose between EMA or SMA for each
Toggle individual or all moving averages
Adjustable lengths, colors, and line widths
5. Alerts
Built-in alert condition for price crossing a user-defined level
Clean alert message format with ticker symbol and live price
⚙️ Customization
Flexible style controls for lines, labels, and colors
Adjustable right-extension length for projecting levels
Font size and visibility toggles for all elements
Smart grouping for intuitive settings management
📈 Ideal For
Identifying key reversal or breakout zones
Spotting Fibonacci confluence between retracements and prior highs/lows
Tracking trend structure via multi-timeframe MAs
Swing traders, intraday traders, and technical analysts
💡 Summary
Key-Levels – D/W/M High-Low + Fib + MA is a professional-grade indicator designed to simplify complex multi-timeframe analysis.
It helps you see the bigger picture, find actionable zones, and trade with confidence.
🧩 Compatible with any market and timeframe.
Key Levels :)Key Levels from Anne-Marie Youtube video.
Thanks to her for the time, hope you find it useful.
ADX Buy/Sell Markers (on ADX pane)This TradingView indicator is designed to help traders identify buy and sell opportunities using the Average Directional Index (ADX) combined with directional indicators (+DI and -DI). It works by plotting the ADX line and detecting when the +DI line crosses above or below the -DI line, signaling potential changes in market direction. The indicator only triggers a buy or sell signal if the ADX value is above a certain threshold, ensuring that signals are only generated during stronger trends. By combining these elements, the indicator helps traders filter out weaker signals and focus on higher-probability trading opportunities, making it an important tool for trend-following strategies CME_MINI:NQ1!
Daily High/Low/Mid + Open + Session VWAP + Bollinger BandsVery good indicator for proper price action trading. try it...
