QLitCycle QuarterlyQLITCYCLE
QLitCycle is an intraday cycle visualization tool that divides each trading day into multiple segments, helping traders identify time-based patterns and recurring market behaviors. By splitting the day into distinct periods, this indicator allows for better analysis of intraday rhythms, cycle alignment, and time-specific market tendencies.
It can be applied to various markets and timeframes, but is most effective on intraday charts where precise time segmentation can reveal valuable insights.
Cari dalam skrip untuk "纳斯达克期货cfd"
Kaos CHoCH M15 – Confirm + BOS H4 Bias (no repinta)Marca choch en dirección del Bias de H4 para seguir con la tendencia.
EDWARDS SQUEEZE 3MINUTE DOWSqueeze Momentum Strategy with EMA780 Trend Filter, ATR-SL, PT, EMA5 Exit Filter, and 3:57 PM Close
Contracts Calculator by NQLOGIEST🧮 Contracts Calculator by NQLOGIEST
This tool helps futures traders quickly calculate how many micro contracts to trade based on their dollar risk and stop size. It supports the following micro instruments:
MNQ – Micro Nasdaq 100
MES – Micro S&P 500
MCL – Micro Crude Oil Futures
MGC – Micro Gold Futures
🔧 Features:
Dynamic Contract Calculation based on:
Selected instrument
Dollar risk amount
Stop size (in points)
Instrument-aware $/point logic:
MNQ: $2/pt
MES: $5/pt
MCL: $1/pt
MGC: $1/pt
Customizable Table Position: Pin the results table to any corner of your chart.
Clean and lightweight — no chart clutter.
📋 How to Use:
Select the instrument you're trading from the dropdown (NQ, ES, CL, or GC).
Set your risk amount in dollars.
Set your stop loss size in points.
The indicator will calculate how many micro contracts you can trade while staying within your risk tolerance.
4 EMA Multi-Length / Abbas4 EMA Multi Length indicator
in case you need to make 4 different EMA/s for your chart
for swinging you'll need 50/100/150/200
for scalping perhaps 9/20/50
this indicator allows you to combine up to 4 EMAS in one indicator instead of 4 separate ones.
Smart Money Breakout Moving Strength [GILDEX]🟠OVERVIEW
This script draws breakout detection zones called “Smart Money Breakout Channels” based on volatility-normalized price movement and visualizes them as dynamic boxes with volume overlays. It identifies temporary accumulation or distribution ranges using a custom normalized volatility metric and tracks when price breaks out of those zones—either upward or downward. Each channel represents a structured range where smart money may be active, helping traders anticipate key breakouts with added context from volume delta, up/down volume, and a visual gradient gauge for momentum bias.
🟠CONCEPTS
The script calculates normalized price volatility by measuring the standard deviation of price mapped to a scale using the highest and lowest prices over a set lookback period. When normalized volatility reaches a local low and flips upward, a boxed channel is drawn between the highest and lowest prices in that zone. These boxes persist until price breaks out, either with a strong candle close (configurable) or by touching the boundary. Volume analysis enhances interpretation by rendering delta bars inside the box, showing volume distribution during the channel. Additionally, a real-time visual “gauge” shows where volume delta sits within the channel range, helping users spot pressure imbalances.
Smart Money Breakout Moving Strength [GILDEX]🟠OVERVIEW
This script draws breakout detection zones called “Smart Money Breakout Channels” based on volatility-normalized price movement and visualizes them as dynamic boxes with volume overlays. It identifies temporary accumulation or distribution ranges using a custom normalized volatility metric and tracks when price breaks out of those zones—either upward or downward. Each channel represents a structured range where smart money may be active, helping traders anticipate key breakouts with added context from volume delta, up/down volume, and a visual gradient gauge for momentum bias.
🟠CONCEPTS
The script calculates normalized price volatility by measuring the standard deviation of price mapped to a scale using the highest and lowest prices over a set lookback period. When normalized volatility reaches a local low and flips upward, a boxed channel is drawn between the highest and lowest prices in that zone. These boxes persist until price breaks out, either with a strong candle close (configurable) or by touching the boundary. Volume analysis enhances interpretation by rendering delta bars inside the box, showing volume distribution during the channel. Additionally, a real-time visual “gauge” shows where volume delta sits within the channel range, helping users spot pressure imbalances.
Trading Sessionsconst string TZ_TOOLTIP_TEXT = "The session's time zone, specified in either GMT notation (e.g., 'GMT-5') or as an IANA time zone database name (e.g., 'America/New_York')."
MistaB SMC Navigation ToolkitMistaB SMC Navigation Toolkit
A complete Smart Money Concepts (SMC) toolkit designed for precision navigation of market structure, order flow, and premium/discount trading zones. Perfect for traders following ICT-style concepts and multi-timeframe confluence.
Features
✅ Order Blocks (OBs)
• Automatic bullish & bearish OB detection
• Optional displacement & high-volume filters
• Midline display for quick equilibrium view
• Auto-expiry and broken OB cleanup
✅ Fair Value Gaps (FVGs)
• Bullish & bearish gap detection
• HTF bias filtering for higher accuracy
• Compact boxes with labels
• Automatic removal when filled
✅ Market Structure (BoS / CHoCH)
• Fractal-based swing detection
• Break of Structure & Change of Character labeling
• Dynamic HTF bias dimming
✅ Premium / Discount Zones
• Auto-calculated mid-level
• Highlighted zones for optimal trade placement
✅ Higher Timeframe (HTF) Confirmation
• Configurable confirmation timeframe
• On-chart HTF status label (Bullish / Bearish / Not Required)
✅ Automatic Cleanup System
• Fast or delayed cleanup for expired/broken zones
• Dimmed colors for invalidated levels
How to Use
Set your preferred HTF in the settings.
Look for OB/FVGs aligned with HTF bias.
Enter in discount zones for longs or premium zones for shorts.
Confirm with BoS / CHoCH signals before entry.
Manage trades towards opposing liquidity zones or HTF levels.
Disclaimer
This indicator is for educational purposes only. It does not provide financial advice or guarantee future results. Always practice proper risk management and test thoroughly before live trading.
Heiken Ashi + Ichimoku Baseline ScalperHi
This a trend identification strategy. You can hold your trade as long as the signals are in your favor.
Correlation HeatMap Matrix Data [TradingFinder]🔵 Introduction
Correlation is a statistical measure that shows the degree and direction of a linear relationship between two assets.
Its value ranges from -1 to +1 : +1 means perfect positive correlation, 0 means no linear relationship, and -1 means perfect negative correlation.
In financial markets, correlation is used for portfolio diversification, risk management, pairs trading, intermarket analysis, and identifying divergences.
Correlation HeatMap Matrix Data TradingFinder is a Pine Script v6 library that calculates and returns raw correlation matrix data between up to 20 symbols. It only provides the data – it does not draw or render the heatmap – making it ideal for use in other scripts that handle visualization or further analysis. The library uses ta.correlation for fast and accurate calculations.
It also includes two helper functions for visual styling :
CorrelationColor(corr) : takes the correlation value as input and generates a smooth gradient color, ranging from strong negative to strong positive correlation.
CorrelationTextColor(corr) : takes the correlation value as input and returns a text color that ensures optimal contrast over the background color.
Library
"Correlation_HeatMap_Matrix_Data_TradingFinder"
CorrelationColor(corr)
Parameters:
corr (float)
CorrelationTextColor(corr)
Parameters:
corr (float)
Data_Matrix(Corr_Period, Sym_1, Sym_2, Sym_3, Sym_4, Sym_5, Sym_6, Sym_7, Sym_8, Sym_9, Sym_10, Sym_11, Sym_12, Sym_13, Sym_14, Sym_15, Sym_16, Sym_17, Sym_18, Sym_19, Sym_20)
Parameters:
Corr_Period (int)
Sym_1 (string)
Sym_2 (string)
Sym_3 (string)
Sym_4 (string)
Sym_5 (string)
Sym_6 (string)
Sym_7 (string)
Sym_8 (string)
Sym_9 (string)
Sym_10 (string)
Sym_11 (string)
Sym_12 (string)
Sym_13 (string)
Sym_14 (string)
Sym_15 (string)
Sym_16 (string)
Sym_17 (string)
Sym_18 (string)
Sym_19 (string)
Sym_20 (string)
🔵 How to use
Import the library into your Pine Script using the import keyword and its full namespace.
Decide how many symbols you want to include in your correlation matrix (up to 20). Each symbol must be provided as a string, for example FX:EURUSD .
Choose the correlation period (Corr\_Period) in bars. This is the lookback window used for the calculation, such as 20, 50, or 100 bars.
Call Data_Matrix(Corr_Period, Sym_1, ..., Sym_20) with your selected parameters. The function will return an array containing the correlation values for every symbol pair (upper triangle of the matrix plus diagonal).
For example :
var string Sym_1 = '' , var string Sym_2 = '' , var string Sym_3 = '' , var string Sym_4 = '' , var string Sym_5 = '' , var string Sym_6 = '' , var string Sym_7 = '' , var string Sym_8 = '' , var string Sym_9 = '' , var string Sym_10 = ''
var string Sym_11 = '', var string Sym_12 = '', var string Sym_13 = '', var string Sym_14 = '', var string Sym_15 = '', var string Sym_16 = '', var string Sym_17 = '', var string Sym_18 = '', var string Sym_19 = '', var string Sym_20 = ''
switch Market
'Forex' => Sym_1 := 'EURUSD' , Sym_2 := 'GBPUSD' , Sym_3 := 'USDJPY' , Sym_4 := 'USDCHF' , Sym_5 := 'USDCAD' , Sym_6 := 'AUDUSD' , Sym_7 := 'NZDUSD' , Sym_8 := 'EURJPY' , Sym_9 := 'EURGBP' , Sym_10 := 'GBPJPY'
,Sym_11 := 'AUDJPY', Sym_12 := 'EURCHF', Sym_13 := 'EURCAD', Sym_14 := 'GBPCAD', Sym_15 := 'CADJPY', Sym_16 := 'CHFJPY', Sym_17 := 'NZDJPY', Sym_18 := 'AUDNZD', Sym_19 := 'USDSEK' , Sym_20 := 'USDNOK'
'Stock' => Sym_1 := 'NVDA' , Sym_2 := 'AAPL' , Sym_3 := 'GOOGL' , Sym_4 := 'GOOG' , Sym_5 := 'META' , Sym_6 := 'MSFT' , Sym_7 := 'AMZN' , Sym_8 := 'AVGO' , Sym_9 := 'TSLA' , Sym_10 := 'BRK.B'
,Sym_11 := 'UNH' , Sym_12 := 'V' , Sym_13 := 'JPM' , Sym_14 := 'WMT' , Sym_15 := 'LLY' , Sym_16 := 'ORCL', Sym_17 := 'HD' , Sym_18 := 'JNJ' , Sym_19 := 'MA' , Sym_20 := 'COST'
'Crypto' => Sym_1 := 'BTCUSD' , Sym_2 := 'ETHUSD' , Sym_3 := 'BNBUSD' , Sym_4 := 'XRPUSD' , Sym_5 := 'SOLUSD' , Sym_6 := 'ADAUSD' , Sym_7 := 'DOGEUSD' , Sym_8 := 'AVAXUSD' , Sym_9 := 'DOTUSD' , Sym_10 := 'TRXUSD'
,Sym_11 := 'LTCUSD' , Sym_12 := 'LINKUSD', Sym_13 := 'UNIUSD', Sym_14 := 'ATOMUSD', Sym_15 := 'ICPUSD', Sym_16 := 'ARBUSD', Sym_17 := 'APTUSD', Sym_18 := 'FILUSD', Sym_19 := 'OPUSD' , Sym_20 := 'USDT.D'
'Custom' => Sym_1 := Sym_1_C , Sym_2 := Sym_2_C , Sym_3 := Sym_3_C , Sym_4 := Sym_4_C , Sym_5 := Sym_5_C , Sym_6 := Sym_6_C , Sym_7 := Sym_7_C , Sym_8 := Sym_8_C , Sym_9 := Sym_9_C , Sym_10 := Sym_10_C
,Sym_11 := Sym_11_C, Sym_12 := Sym_12_C, Sym_13 := Sym_13_C, Sym_14 := Sym_14_C, Sym_15 := Sym_15_C, Sym_16 := Sym_16_C, Sym_17 := Sym_17_C, Sym_18 := Sym_18_C, Sym_19 := Sym_19_C , Sym_20 := Sym_20_C
= Corr.Data_Matrix(Corr_period, Sym_1 ,Sym_2 ,Sym_3 ,Sym_4 ,Sym_5 ,Sym_6 ,Sym_7 ,Sym_8 ,Sym_9 ,Sym_10,Sym_11,Sym_12,Sym_13,Sym_14,Sym_15,Sym_16,Sym_17,Sym_18,Sym_19,Sym_20)
Loop through or index into this array to retrieve each correlation value for your custom layout or logic.
Pass each correlation value to CorrelationColor() to get the corresponding gradient background color, which reflects the correlation’s strength and direction (negative to positive).
For example :
Corr.CorrelationColor(SYM_3_10)
Pass the same correlation value to CorrelationTextColor() to get the correct text color for readability against that background.
For example :
Corr.CorrelationTextColor(SYM_1_1)
Use these colors in a table or label to render your own heatmap or any other visualization you need.
MT High/Low Boxes"Box out the High/Low at User-Defined Time Frame"
This feature allows users to set a custom time frame via an input panel, following TradingView's time frame conventions (e.g., "60," "240," "D," etc.).
The script dynamically captures timestamps for each custom interval to detect the start of new segments.
The box width is calculated based on the number of bars within the custom time frame, ensuring accurate coverage of the corresponding time range.
A central dashed line (yellow dotted) reflects the real-time midpoint between the high and low of the interval.
The background color adjusts based on bullish/bearish bias, comparing the opening price to the current closing price.
Simply select your desired time frame in the indicator settings—flexible and compatible with multiple time frames, including non-minute/hour units (e.g., daily, weekly).
EFXU Banker Level Price GridThe EFXU Banker Level Price Grid indicator draws fixed horizontal price levels at key whole-number intervals for Forex pairs, regardless of zoom level or timeframe. It’s designed for traders who want consistent visual reference points for major and minor price zones across all charts.
Features:
Major 1000-pip zones (bold lines) above and below a fixed origin price (auto-detects 1.00000 for non-JPY pairs and 100.000 for JPY pairs, or set manually).
500-pip median levels (dashed lines) between each major zone.
100-pip subdivisions (dotted lines) within each 1000-pip zone.
Adjustable number of zones above and below the origin.
Customizable colors, line widths, and label sizes.
Optional labels on the right edge for quick zone identification.
Works on all timeframes and stays visible regardless of zoom or price position.
Use case:
This tool is ideal for traders using institutional-level zones, psychological price levels, or “big money” areas for planning entries, exits, and risk management. Perfect for swing traders, position traders, and scalpers who rely on major pip milestones for market structure context.
Relative Volatility Mass [SciQua]The ⚖️ Relative Volatility Mass (RVM) is a volatility-based tool inspired by the Relative Volatility Index (RVI) .
While the RVI measures the ratio of upward to downward volatility over a period, RVM takes a different approach:
It sums the standard deviation of price changes over a rolling window, separating upward volatility from downward volatility .
The result is a measure of the total “volatility mass” over a user-defined period, rather than an average or normalized ratio.
This makes RVM particularly useful for identifying sustained high-volatility conditions without being diluted by averaging.
────────────────────────────────────────────────────────────
╭────────────╮
How It Works
╰────────────╯
1. Standard Deviation Calculation
• Computes the standard deviation of the chosen `Source` over a `Standard Deviation Length` (`stdDevLen`).
2. Directional Separation
• Volatility on up bars (`chg > 0`) is treated as upward volatility .
• Volatility on down bars (`chg < 0`) is treated as downward volatility .
3. Rolling Sum
• Over a `Sum Length` (`sumLen`), the upward and downward volatilities are summed separately using `math.sum()`.
4. Relative Volatility Mass
• The two sums are added together to get the total volatility mass for the rolling window.
Formula:
RVM = Σ(σ up) + Σ(σ down)
where σ is the standard deviation over `stdDevLen`.
╭────────────╮
Key Features
╰────────────╯
Directional Volatility Tracking – Differentiates between volatility during price advances vs. declines.
Rolling Volatility Mass – Shows the total standard deviation accumulation over a given period.
Optional Smoothing – Multiple MA types, including SMA, EMA, SMMA (RMA), WMA, VWMA.
Bollinger Band Overlay – Available when SMA is selected, with adjustable standard deviation multiplier.
Configurable Source – Apply RVM to `close`, `open`, `hl2`, or any custom source.
╭─────╮
Usage
╰─────╯
Trend Confirmation: High RVM values can confirm strong trending conditions.
Breakout Detection: Spikes in RVM often precede or accompany price breakouts.
Volatility Cycle Analysis: Compare periods of contraction and expansion.
RVM is not bounded like the RVI, so absolute values depend on market volatility and chosen parameters.
Consider normalizing or using smoothing for easier visual comparison.
╭────────────────╮
Example Settings
╰────────────────╯
Short-term volatility detection: `stdDevLen = 5`, `sumLen = 10`
Medium-term trend volatility: `stdDevLen = 14`, `sumLen = 20`
Enable `SMA + Bollinger Bands` to visualize when volatility is unusually high or low relative to recent history.
╭───────────────────╮
Notes & Limitations
╰───────────────────╯
Not a directional signal by itself — use alongside price structure, volume, or other indicators.
Higher `sumLen` will smooth short-term fluctuations but reduce responsiveness.
Because it sums, not averages, values will scale with both volatility and chosen window size.
╭───────╮
Credits
╰───────╯
Based on the Relative Volatility Index concept by Donald Dorsey (1993).
TradingView
SciQua - Joshua Danford
Market Open Impulse [LuciTech]Market Open Impulse Strategy
The Market Open Impulse Strategy is designed to capture significant price movements that occur at market open (2:30 PM UK time). This strategy identifies impulsive candles with high volatility and enters trades based on the direction and strength of the initial market reaction.
How It Works:
The strategy activates exclusively at 2:30 PM UK time during market open sessions. It uses ATR-based volatility filtering to identify impulsive candles that exceed a configurable multiplier (default 1.5x ATR). Long entries are triggered when an impulsive candle closes above its midpoint and above the opening price, while short entries occur when an impulsive candle closes below its midpoint and below the opening price.
Risk management is handled through precise stop loss placement at the opposite extreme of the impulse candle (high for short positions, low for long positions). Take profit levels are calculated using a configurable risk-reward ratio with a default setting of 3:1. Position sizing is automatically calculated based on the percentage risk per trade, and an optional breakeven feature can move the stop loss to the entry price at specified profit levels.
The strategy incorporates time-based filtering to ensure trades only occur during the specified market open window. Visual indicators highlight qualifying impulsive candles and plot all entry and exit levels for clear trade management. The system offers flexible risk management with customizable risk percentage, risk-reward ratios, and breakeven settings, along with multiple stop loss calculation methods including both ATR-based and candle-based options.
Key Parameters:
Market open timing is fully configurable through hour and minute settings for strategy activation. The impulse ATR multiple sets the minimum volatility threshold required for trade qualification, with visual highlighting available for qualifying setups. Risk management parameters include the percentage of account equity to risk per trade, target profit multiples relative to initial risk, and the profit level threshold for breakeven stop loss adjustment. Users can choose between ATR-based or candle-based stop loss calculation methods and adjust technical parameters for volatility calculation including ATR length and smoothing methods.
Applications:
This strategy is particularly effective for trading market open volatility and momentum, capturing institutional order flow during key timing windows, executing short-term swing trades on significant price impulses, and trading markets with predictable opening patterns and consistent volatility characteristics.
Momentum_EMABand📢 Reposting Notice
I am reposting this script because my earlier submission was hidden due to description requirements under TradingView’s House Rules. This updated version fully explains the originality, the reason for combining these indicators, and how they work together. Follow me for future updates and refinements.
🆕 Momentum EMA Band, Rule-Based System
Momentum EMA Band is not just a mashup — it is a purpose-built trading tool for intraday traders and scalpers that integrates three complementary technical concepts into a single rules-based breakout & retest framework.
Originality comes from the specific sequence and interaction of these three filters:
Supertrend → Sets directional bias.
EMA Band breakout with retest logic → Times precise entries.
ADX filter → Confirms momentum strength and avoids noise.
This system is designed to filter out weak setups and false breakouts that standalone indicators often fail to avoid.
🔧 How the Indicator Works — Combined Logic
1️⃣ EMA Price Band — Dynamic Zone Visualization
Plots upper & lower EMA bands (default: 9-period EMA).
Green Band → Price above upper EMA = bullish momentum
Red Band → Price below lower EMA = bearish pressure
Yellow Band → Price within band = neutral zone
Acts as a consolidation zone and breakout trigger level.
2️⃣ Supertrend Overlay — Reliable Trend Confirmation
ATR-based Supertrend adapts to volatility:
Green Line = Uptrend bias
Red Line = Downtrend bias
Ensures trades align with the prevailing trend.
3️⃣ ADX-Based No-Trade Zone — Choppy Market Filter
Manual ADX calculation (default: length 14).
If ADX < threshold (default: 20) and price is inside EMA Band → gray background marks low-momentum zones.
🧩 Why This Mashup Works
Supertrend confirms trend direction.
EMA Band breakout & retest validates the breakout’s strength.
ADX ensures the market has enough trend momentum.
When all align, entries are higher probability and whipsaws are reduced.
📈 Example Trade Walkthrough
Scenario: 5-minute chart, ADX threshold = 20.
Supertrend turns green → trend bias is bullish.
Price consolidates inside the yellow EMA Band.
ADX rises above 20 → trend momentum confirmed.
Price closes above the green EMA Band after retesting the band as support.
Entry triggered on candle close, stop below band, target based on risk-reward.
Exit when Supertrend flips red or ADX momentum drops.
This sequence prevents premature entries, keeps trades aligned with trend, and avoids ranging markets.
🎯 Key Features
✅ Multi-layered confirmation for precision trading
✅ Built-in no-trade zone filter
✅ Fully customizable parameters
✅ Clean visuals for quick decision-making
⚠ Disclaimer: This is Version 1. Educational purposes only. Always use with risk management.
Market Structure (DeadCat)🌟 Market Structure (DeadCat) - Indicator Overview 🌟
The Market Structure (DeadCat) indicator plots swing highs and lows (HH, HL, LH, LL) using pivot points, helping you spot uptrends, downtrends, and potential reversals. Perfect for traders who use market structure.
🌟 Key Features 🌟
🔹 Swing Point Labels
HH (Higher High): Signals uptrend strength.
HL (Higher Low): Marks bullish support.
LH (Lower High): Hints at weakening uptrend or reversal.
LL (Lower Low): Confirms downtrend momentum.
🔹 Trend Detection
Uptrend: Tracks HH/HL for bullish momentum.
Downtrend: Tracks LH/LL for bearish momentum.
Waits for breaks of prior HH/HL or LH/LL to confirm new swing points, ensuring reliable signals. 🔄
🔹 Customizable Labels
Adjust label text color (default: black) to suit your chart. Supports up to 500 labels for a clean, focused view. 🖌️
🌟 Indicator Settings 🌟
Swing Length: Fixed at 20 bars (left) and 2 bars (right) for pivot detection.
Label Color: Customize text color for better visibility.
Fibs Has Lied 🌟 Fibs Has Lied - Indicator Overview 🌟
Designed for indices like US30, NQ, and SPX, this indicator highlights setups where price interacts with key EMA levels during specific trading sessions (default: 6:30–11:30 AM EST).
🌟 Key Features & Levels 🌟
🔹EMA Crossover Setups
The indicator uses the 100-period and 200-period EMAs to identify bullish and bearish setups:
- Bullish Setup: Triggers when the 100 EMA crosses above the 200 EMA, followed by two consecutive candles opening above the 100 EMA, with the low within a specified point distance (e.g., 20 points for US30).
- Bearish Setup: Triggers when the 100 EMA crosses below the 200 EMA, followed by two consecutive candles opening below the 100 EMA, with the high within the point distance.
- Signals are marked with green (buy) or red (sell) triangles and text, ensuring you don’t miss a setup. 📈
🔹 Reset Conditions for Re-Entries
After an initial setup, the indicator watches for “reset” opportunities:
- Buy Reset: If price moves below the 200 EMA after a bullish crossover, then returns with two consecutive candles where lows are above the 100 EMA (within point distance), a new buy signal is plotted.
- Sell Reset: If price moves above the 200 EMA after a bearish crossover, then returns with two consecutive candles where highs are below the 100 EMA (within point distance), a new sell signal is plotted.
This feature captures additional entries after liquidity grabs or fakeouts, aligning with ICT’s manipulation concepts. 🔄
🔹 Session-Based Filtering
Focus your trades during high-liquidity windows! The default session (6:30–11:30 AM EST, New York timezone) targets the London/NY overlap, where price often seeks liquidity or sets up for reversals. Toggle the time filter off for 24/7 signals if desired. 🕒
🔹Symbol-Specific Point Distance
Customizable entry zones based on your chosen index:
- US30: 20 points from the 100 EMA.
- NQ: 3 points from the 100 EMA.
- SPX: 2.5 points from the 100 EMA.
This ensures setups are tailored to the volatility of your market, maximizing relevance. 🎯
🔹 Market Structure Markers (Optional)
Visualize swing points with pivot-based labels:
- HH (Higher High): Signals uptrend continuation.
- HL (Higher Low): Indicates potential bullish support.
- LH (Lower High): Suggests weakening uptrend or reversal.
- LL (Lower Low): Points to downtrend continuation.
- Toggle these on/off to keep your chart clean while analyzing trend direction. 📊
🔹 EMA Visualization
Optionally plot the 100 EMA (blue) and 200 EMA (red) to see key levels where price reacts. These act as dynamic support/resistance, perfect for spotting liquidity pools or ICT’s Power of 3 setups. ⚖️
🌟 Customization Options 🌟
- Symbol Selection: Choose US30, NQ, or SPX to adjust point distance for entries.
- Time Filter: Enable/disable the 6:30–11:30 AM EST session to focus on high-liquidity periods.
- EMA Display: Toggle 100/200 EMAs on/off to reduce chart clutter.
- Market Structure: Show/hide HH/HL/LH/LL labels for cleaner analysis.
- Signal Markers: Green (buy) and red (sell) triangles with text are auto-plotted for easy identification.
🌟 Usage Tips 🌟
- Best Timeframes: Use on 3m for intraday scalping and 30m for swing trades.
- Combine with ICT Tools: Pair with order blocks, fair value gaps, or kill zones for stronger setups.
- Focus on Session: The default 6:30–11:30 AM EST session captures London/NY volatility—perfect for liquidity-driven moves.
- Avoid Overcrowding: Disable market structure or EMAs if you only want setup signals.
DXY Opening Zones - FixedFull Description:
Overview:
This indicator automates the identification of DXY (Dollar Index) opening zones, a cornerstone of the Funded Trader Academy's "Dixie Open" strategy. It marks the critical gap between market close and open, which acts as a magnetic attraction level for price action throughout the trading day.
Key Features:
✅ Automatic Gap Detection: Identifies opening gaps between market close (6:00 PM EST) and open (7:45 PM EST Sunday, 7:45 PM Mon-Thu)
✅ Smart Zone Expansion: Automatically expands zones when gaps are smaller than 20 pips to include prior candle highs/lows for better trading ranges
✅ Session Highlighting: Visual overlays for London (3 AM - 12 PM EST) and New York (8 AM - 5 PM EST) sessions
✅ Phantom Candle Filter: Ignores glitch/phantom candles smaller than 2 pips to prevent false zones
✅ Time-Based Zone Extension: Zones automatically extend to 5 PM EST (US market close) for full-day relevance
✅ 15-Minute Chart Optimization: Specifically designed for the 15-minute timeframe where the strategy performs best
✅ DXY-Only Protection: Built-in safeguards ensure the indicator only works on Dollar Index symbols
Trading Strategy Context:
The DXY Opening Level strategy capitalizes on the market's tendency to return to opening gaps, offering approximately 70-75% win rate when traded correctly. Best entries occur during London session (after 2:30 AM EST) when volume increases.
Ideal For:
Forex traders using DXY correlation strategies
Mean reversion and gap trading enthusiasts
Traders seeking high-probability setups with defined risk
Those following the Funded Trader Academy methodology
Settings Explained:
Zone Color: Customize the visual appearance of zones
Expand Zone Threshold: Adjust when zones should expand (default 20 pips)
Phantom Filter: Set minimum candle size to consider valid (default 2 pips)
Session Display: Toggle London/NY session backgrounds
Debug Mode: View detailed gap measurements and timing information
Important Notes:
Must be used on 15-minute DXY/Dollar Index charts
Zones mark attraction levels, not direct entry points
Always wait for valid entry signals (engulfing, pin bar, 3-bar reversal)
Trade correlated forex pairs, not DXY directly
Best results during London session (2:30 AM - 12 PM EST)
Risk Disclaimer:
This indicator identifies potential trading zones based on historical patterns. Always use proper risk management and never risk more than you can afford to lose. Past performance does not guarantee future results.
THE TRINTY - Multi-Timeframe MACD Alignment (Single Alert)Analyzes up to 3 timeframes at the same time waiting for MACD alignment plus determines when it's very bullish, very bearish, or just mixed. Ideal for traders who only want to trade in high probability markets to increase your chances at success. Also, there's only 1 single alert system that you can set for each pair making things much easier instead of setting separate bullish and bearish alerts like most other indicators.
LANZ Strategy 6.0🔷 LANZ Strategy 6.0 — NY Session Entry Tool & Multi-Account Risk Manager
LANZ Strategy 6.0 - Is a trading tool designed to help traders plan, execute, and manage operations with a focus on risk management, multi-account handling, and visual clarity.
It works exclusively on the 1-hour timeframe ⏳ and is optimized for the New York market opening dynamics.
🧠 Core Concept
The strategy identifies bullish trading opportunities based on the 09:00 NY candle. Once detected, it automatically calculates and draws:
EP (Entry Price) — The exact level where the trade setup triggers.
SL (Stop Loss) — Based on a customizable percentage of the candle's high–low range or wick extremes.
TP (Take Profit) — Calculated using your chosen Risk–Reward Ratio (e.g., 1:5, 1:3, etc.).
⚙️ Main Features
⏳ Time-Specific Execution
Operates only when the 09:00 NY candle closes bullish.
Ideal for traders who align with the New York Session market structure.
💰 Multi-Account Lot Size Management
Up to 5 independent accounts can be configured with their own capital and risk %, showing the exact lot size to use for each.
📏 Adaptive Risk Control
Supports both Forex and non-Forex assets (indices, gold, oil).
For non-Forex, you can manually define the pip value according to your broker’s specs.
🎨 Visual Trade Map
Automatically plots clean and easy-to-read EP, SL, and TP lines with customizable colors, styles, and thickness.
A floating information panel displays levels, pip distances, and lot sizes.
🔔 Real-Time Alerts
Alerts for:
Entry signal detection.
Stop Loss hit.
Take Profit hit.
Manual close at the defined session end.
📊 Example
If you trade GBPUSD with Account #1 set to $10,000 and 2% risk,
and the 09:00 NY candle closes bullish with SL = 30 pips and RR = 5:1:
EP, SL, and TP levels are drawn instantly.
Risk = $200 (2% of $10,000).
Lot size is calculated automatically.
All details are shown in the on-chart panel.
🛠️ How to Use
Load the indicator on a 1-hour chart.
Configure risk settings and account data.
Wait for the 09:00 NY candle to close bullish.
Use the displayed lot size and levels to execute your trade.
Let the tool alert you for SL, TP, or manual close.
⚠️ Disclaimer:
This script is for educational purposes only. It does not guarantee profits and past performance does not represent future results. Always manage your risk responsibly.
👨💻 Credits:
💡 Developed by: LANZ
🧠 Execution Model & Logic Design: LANZ
📅 Designed for: 1H timeframe and NY-based entries
OBV Breakout Screener (By Tarso)1. Purpose of the Indicator
The "Advanced OBV Breakout Screener" is a specialized tool designed to find a powerful bullish signal. It scans for assets where buying pressure is increasing significantly, even though the price has not yet broken out.
The core strategy is to identify assets where:
Volume is leading Price: The On-Balance Volume (OBV) has already broken its recent high.
Price is still contained: The asset's price has not yet broken its recent high.
This setup helps you find potential trading opportunities right before a possible upward move.
2. How to Set Up the Indicator
First, you need to add the script to your TradingView account.
Open any chart on TradingView.
Click on the "Pine Editor" tab at the bottom of the screen.
Delete any existing code and paste the entire "Advanced OBV Breakout Screener" script into the editor.
Click "Add to chart". The indicator will now appear in a separate panel below your main price chart.
3. How to Use it with the Pine Screener (Step-by-Step)
This is the main purpose of the indicator. The script does all the complex analysis and provides a simple "1" (Signal is ON) or "0" (Signal is OFF). You only need to set up one filter.
Open the Stock Screener (or Crypto/Forex Screener).
Click the Filters button to open the settings panel.
Ensure you are on the Pine Screener tab (this allows you to filter using custom indicators).
In the indicator selection menu (it might say "Select Indicator..."), find and choose Advanced OBV Breakout Screener from your list.
Now, configure the single filter condition as follows:
In the first box, select Advanced Breakout Signal.
In the second box, select Equal to.
In the third box, select Number and type 1.
Your filter setup should look clean and simple, like this:
That's it! The screener will now display a list of all assets that currently meet the "Advanced Breakout" criteria for the timeframe you have selected (e.g., Daily, 4h, 1h).
4. Configuring the Lookback Period
By default, the indicator analyzes the last 20 periods. If you want to change this (for example, to scan for breakouts over 50 days), you must adjust it in the indicator's settings on your chart.
Go back to your chart view.
Find the "Advanced OBV Breakout Screener" panel.
Click the Settings icon (⚙️) next to the indicator's name.
In the "Inputs" tab, change the "Lookback Period (days)" to your desired value.
Click "OK".
The Pine Screener will automatically use this new setting for its market scan.
5. Understanding the On-Chart Visuals
When you add the indicator to your chart, you will see:
Blue Line: This is the On-Balance Volume (OBV).
Red Stepped Line: This represents the highest value the OBV has reached during the lookback period. A breakout happens when the blue line moves above this red line.
Green Triangle (▲): This symbol appears below a price candle whenever the full "Advanced Breakout" condition (OBV breakout + Price containment) is met, giving you a clear visual confirmation.
