S&R Zones MTF (TechnoBlooms)S&R Zones MTF – Multi-Timeframe Support & Resistance Boxes
🔍 Overview
S&R Zones MTF is a professional-grade yet beginner-friendly indicator that dynamically plots Support & Resistance zones across multiple timeframes, helping traders recognize high-probability reversal areas, entry confirmations, and price reaction points.
This tool visualizes structured zones as colored boxes, allowing both new and experienced traders to analyze multi-timeframe confluence with ease and clarity.
🧠 What Is This Indicator?
S&R Zones MTF automatically detects the most significant support and resistance levels from up to four custom timeframes, using a configurable lookback period. These zones are displayed as colored horizontal boxes directly on the chart, making it easy to:
Spot where price has historically reacted
Identify potential reversal or breakout zones
Confirm entries with institutional-style precision
🛠️ Key Features
✅ Multi-Timeframe Zone Detection (up to 4 timeframes)
📦 Auto Plotted Boxes for Support (Blue) & Resistance (Pink)
🧱 Dynamic Height based on average price range or fixed input
🏷️ Timeframe Labels to instantly identify zone origin
🎛️ Customizable inputs: Lookback length, box color, height style
🔁 Real-time updates as price structure changes
🎓 Educational & Easy to Use
Whether you’re a new trader learning about price structure, or a professional applying institutional concepts, this tool offers an educational layout to understand:
How price respects historic zones
Why multi-timeframe zones offer stronger confluence
How to use zones for entry, exit, or risk placement
📈 How to Use (Multi-Timeframe Strategy)
Select Your Timeframes – Customize up to 4 higher timeframes (e.g., 1m, 5m, 15m, 1h).
Observe Overlapping Zones – When multiple timeframes agree, those zones are more significant.
Entry Confirmation – Wait for price to reach a zone, then look for reversal patterns (engulfing candle, pin bar, etc.)
Combine with Other Tools – Use alongside indicators like RSI, MACD, or Order Blocks for added confidence.
💡 Pro Tips
Zones from higher timeframes (1H, 4H) are often more powerful and reliable.
Confluence matters: If a 15m support zone aligns with a 1H support zone — that's a high-probability reaction area.
Use break-and-retest strategies with zone rejections for sniper entries.
Enable "Auto Height" for a more adaptive, volatility-based zone display.
🌟 Summary
S&R Zones MTF blends precision, clarity, and professional analysis into a visual structure that’s easy to understand. Whether you're learning support & resistance or optimizing your MTF edge — this tool will bring clarity to your charts and confidence to your trades.
Educational
🗓️ Day Separator🗓️ Day Separator – Visual Day Markers for Your Chart
This script adds automatic vertical lines to visually separate each trading day on your chart. It helps you quickly identify where each day starts and ends — especially useful for intraday and scalping strategies.
✅ Features:
Distinct colored lines for each weekday (Monday to Friday)
Optional day-of-week labels (toggle on/off)
Custom label position (top or bottom of the chart)
Works on any timeframe
Whether you're tracking market sessions or reviewing daily price action, this tool gives you a clean structure to navigate your charts with more clarity.
Advanced DMA Pattern Detection SystemAdvanced DMA Pattern Detection System with Smart Intelligence
Professional-grade moving average indicator that combines traditional DMA analysis with advanced pattern recognition and probabilistic forecasting.
Core Features:
6 Key DMAs (5, 10, 20, 50, 100, 200) with descriptive labels showing trading purpose
Advanced Pattern Recognition - Detects Institutional Accumulation, Distribution Phases, Bull/Bear Transitions, and Choppy Markets
Probability Engine - Assigns confidence scores (0-100%) with Low/Medium/High classifications
Historical Validation - Tracks success rate of last 20 pattern signals for real performance data
Smart Alert System - Only triggers on significant pattern changes (20%+ probability shifts)
Dual Display System:
Movable Information Table - Shows current pattern, probability, confidence level, success rate, and recommended action
Chart Alerts & Background Colors - Visual confirmation of high-confidence setups (80%+ patterns)
Traditional DMA Labels - Clear identification of each average's trading significance
Complete Customization:
Master on/off controls for entire system
Individual toggles for all components (DMAs, table, alerts, colors)
Adjustable alert sensitivity (Conservative/Medium/Aggressive)
6 table positions to fit any chart layout
Perfect For: Swing traders, position traders, and anyone wanting systematic trend analysis with quantified probability scores rather than subjective interpretation.
Bottom Line: Transforms basic moving averages into an intelligent trading system that tells you exactly what the market structure means and what to do about it.
BE-Indicator Aggregator toolkit█ Overview:
BE-Indicator Aggregator toolkit is a toolkit which is built for those we rely on taking multi-confirmation from different indicators available with the traders. This Toolkit aid's traders in understanding their custom logic for their trade setups and provides the summarized results on how it performed over the past.
█ How It Works:
Load the external indicator plots in the indicator input setting
Provide your custom logic for the trade setup
Set your expected SL & TP values
█ Legends, Definitions & Logic Building Rules:
Building the logic for your trade setup plays a pivotal role in the toolkit, it shall be broken into parts and toolkit aims to understand each of the logical parts of your setup and interpret the outcome as trade accuracy.
Toolkit broadly aims to understand 4 types of inputs in "Condition Builder"
Comments : Line which starts with single quotation ( ' ) shall be ignored by toolkit while understanding the logic.
Note: Blank line space or less than 3 characters are treated equally to comments.
Long Condition: Line which starts with " L- " shall be considered for identifying Long setups.
Short Condition: Line which starts with " S- " shall be considered for identifying Short setups.
Variables: Line which starts with " VAR- " shall be considered as variables. Variables can be one such criteria for Long or short condition.
Building Rules: Define all variables first then specify the condition. The usual declare and assign concept of programming. :p)
Criteria Rules: Criteria are individual logic for your one parent condition. multiple criteria can be present in one condition. Each parameter should be delimited with ' | ' key and each criteria should be delimited with ' , ' (Comma with a space - IMPORTANT!!!)
█ Sample Codes for Conditional Builder:
For Trading Long when Open = Low
For Trading Short when Open = High with a Red candle
'Long Setup <---- Comment
L-O|E|L
' E <- in the above line refers to Equals ' = '
'Short Setup
S-AND:O|E|H, O|G|C
' 2 Criteria for used building one condition. Since, both have to satisfied used "AND:" logic.
Understanding of Operator Legends:
"E" => Refers to Equals
"NE" => Refers to Not Equals
"NEOR" => Logical value is Either Comparing value 1 or Comparing value 2
"NEAND" => Logical value is Comparing value 1 And Comparing value 2
"G" => Logical value Greater than Comparing value 1
"GE" => Logical value Greater than and equal to Comparing value 1
"L" => Logical value Lesser than Comparing value 1
"LE" => Logical value Lesser than and equal to Comparing value 1
"B" => Logical value is Between Comparing value 1 & Comparing value 2
"BE" => Logical value is Between or Equal to Comparing value 1 & Comparing value 2
"OSE" => Logical value is Outside of Comparing value 1 & Comparing value 2
"OSI" => Logical value is Outside or Equal to Comparing value 1 & Comparing value 2
"ERR" => Logical value is 'na'
"NERR" => Logical value is not 'na'
"CO" => Logical value Crossed Over Comparing value 1
"CU" => Logical value Crossed Under Comparing value 1
Understanding of Condition Legends:
AND: -> All criteria's to be satisfied for the condition to be True.
NAND: -> Output of AND condition shall be Inversed for the condition to be True.
OR: -> One of criteria to be satisfied for the condition to be True.
NOR: -> Output of OR condition shall be Inversed for the condition to be True.
ATLEAST:X: -> At-least X no of criteria to be satisfied for the condition to be True.
Note: "X" can be any number
NATLEAST:X: -> Output of ATLEAST condition shall be Inversed for the condition to be True
WASTRUE:X: -> Single criteria WAS TRUE within X bar in past for the condition to be True.
Note: "X" can be any number.
ISTRUE:X: -> Single criteria is TRUE since X bar in past for the condition to be True.
Note: "X" can be any number.
Understanding of Variable Legends:
While Condition Supports 8 Types, Variable supports only 6 Types listed below
AND: -> All criteria's to be satisfied for the Variable to be True.
NAND: -> Output of AND condition shall be Inversed for the Variable to be True.
OR: -> One of criteria to be satisfied for the Variable to be True.
NOR: -> Output of OR condition shall be Inversed for the Variable to be True.
ATLEAST:X: -> At-least X no of criteria to be satisfied for the Variable to be True.
Note: "X" can be any number
NATLEAST:X: -> Output of ATLEAST condition shall be Inversed for the Variable to be True
█ Sample Outputs with Logics:
1. RSI Indicator + Technical Indicator: StopLoss: 2.25 against Reward ratio of 1.75 (3.94 value)
Plots Used in Indicator Settings:
Source 1:- RSI
Source 2:- RSI Based MA
Source 3:- Strong Buy
Source 4:- Strong Sell
Logic Used:
For Long Setup : RSI Should be above RSI Based MA, RSI has been Rising when compared to 3 candles ago, Technical Indicator signaled for a Strong Buy on the current candle, however in last 6 candles Technical indicator signaled for Strong Sell.
Similarly Inverse for Short Setup.
L-AND:ES1|GE|ES2, ES1|G|ES1
L-ES3|E|1
L-OR:ES4 |E|1, ES4 |E|1, ES4 |E|1, ES4 |E|1, ES4 |E|1, ES4 |E|1
S-AND:ES1|LE|ES2, ES1|L|ES1
S-ES4|E|1
S-OR:ES3 |E|1, ES3 |E|1, ES3 |E|1, ES3 |E|1, ES3 |E|1, ES3 |E|1
'Note: Last OR condition can also be written by using WASTRUE definition like below
'L-WASTRUE:6:ES4|E|1
'S-WASTRUE:6:ES3|E|1
Output:
2. Volumatic Support / Resistance Levels :
Plots Used in Indicator Settings:
Source 1:- Resistance
Source 2:- Support
Logic Used:
For Long Setup : Long Trade on Liquidity Support.
For Short Setup : Short Trade on Liquidity Resistance.
'Variable Named "ChkLowTradingAbvSupport" is declared to check if last 3 candles is trading above support line of liquidity.
VAR-ChkLowTradingAbvSupport:AND:L|G|ES2, L |G|ES2, L |G|ES2
'Variable Named "ChkCurBarClsdAbv4thBarHigh" is declared to check if current bar closed above the high of previous candle where the Liquidity support is taken (4th Bar).
VAR-ChkCurBarClsdAbv4thBarHigh:OR:C|GE|H , L|G|H
'Combining Condition and Variable to Initiate Long Trade Logic
L-L |LE|ES2
L-AND:ChkLowTradingAbvSupport, ChkCurBarClsdAbv4thBarHigh
VAR-ChkHghTradingBlwRes:AND:H|L|ES1, H |L|ES1, H |L|ES1
VAR-ChkCurBarClsdBlw4thBarLow:OR:C|LE|L , H|L|L
S-H |GE|ES1
S-AND:ChkHghTradingBlwRes, ChkCurBarClsdBlw4thBarLow
Output 1: Day Trading Version
Output 2: Scalper Version
Output 3: Position Version
Gold vs DXYThe 30-day rolling correlation between Gold (XAU/USD) and the US Dollar Index (DXY) shows how closely the two move together — or more often, in opposite directions — over the last 30 trading days. In most market environments, the relationship is pretty straightforward: when the dollar goes up, gold tends to go down, and vice versa. That’s because gold is priced in dollars, so a stronger dollar makes it more expensive for international buyers, which usually softens demand.
But it’s not always that simple. There are times when this inverse correlation breaks down. For example, if real yields (like the US 10-year yield minus inflation expectations) are rising, that can pressure gold even if the dollar is falling — because higher real returns elsewhere make gold less attractive. Another case is when other currencies, like the euro or yen, rally strongly on their own central bank decisions. This can pull DXY lower without necessarily signaling weakness in the U.S. economy — meaning gold might not benefit much.
There are also “risk-on” moments where investors rotate into equities or crypto, selling off both gold and the dollar in favor of yield or momentum. And during periods of crisis or uncertainty, both gold and the dollar can rise together as safe-haven assets, breaking the usual pattern entirely.
That’s why tracking the rolling correlation is helpful. It shows whether the historical relationship between gold and the dollar is still holding — or if we’re entering a different market regime. It’s not about predicting exact price moves, but about understanding the current backdrop. When gold and DXY are moving out of sync as expected, it can support your trade thesis. But when the correlation flattens or flips, it’s often a sign to dig deeper — macro forces may be shifting.
HMA Trend Line (Croc Signal Line)HMA Trend Line (Croc Signal Line) — The Ultimate Hull Moving Average Trend Indicator
Full English description here:
What is the HMA Trend Line (Croc Signal Line)?
The HMA Trend Line (Croc Signal Line) is a powerful, adaptive trend indicator for TradingView, based on the Hull Moving Average (HMA). This indicator is designed to help traders identify real market trends with less lag and reduced noise compared to traditional moving averages like SMA (Simple Moving Average) and EMA (Exponential Moving Average).
Why use the HMA Trend Line?
+ Faster Trend Detection: The Hull Moving Average (HMA) responds more quickly to price action, giving you earlier buy and sell signals.
+ Smoother and Cleaner: It provides a visually clean trend line that avoids the choppiness of classic EMAs and SMAs.
+ Reduced Lag: The HMA Trend Line follows the market closer, helping you avoid late entries or exits and spot trend reversals sooner.
+ Dynamic Support and Resistance: Use the line as a dynamic support or resistance to manage trades and identify pullbacks or breakouts.
What does “Croc Signal Line” mean?
The “Croc” in Croc Signal Line stands for:
+ Clean
+ Responsive
+ Optimized
+ Curve
This highlights the unique advantage of this indicator: a curve that is both fast-reacting and smooth, helping traders focus on real trends and filter out market noise.
How does the Hull Moving Average (HMA) work?
The HMA was developed by Alan Hull and uses weighted moving averages and a unique calculation to deliver both responsiveness and smoothness. Unlike standard moving averages, the HMA reacts faster to new price moves and avoids false signals in ranging or volatile markets.
How to use the HMA Trend Line (Croc Signal Line) on TradingView?
+ Watch for price crossing above the trend line for potential bullish signals, and below for bearish signals.
+ Use on any timeframe: from 1-minute scalping to daily, weekly, or even monthly charts.
+ Works with all asset classes: Forex, stocks, indices, cryptocurrencies, commodities, and futures.
+ Combine with other indicators (like Stochastics, RSI, or volume) for confirmation and to build your unique trading strategy.
+ Adjust the Signal Line Period for your market and style: shorter periods for faster markets, longer for smoother trends.
Who should use this indicator?
+ Day traders, swing traders, and long-term investors looking for reliable, actionable trend signals.
+ Anyone seeking a cleaner, more responsive alternative to the classic moving averages.
+ Traders who want a simple, visually clear way to filter out market noise and see real price direction.
Disclaimer:
This indicator is for educational and study purposes only. Please perform your own backtesting and analysis before using it in live trading. This script does not constitute financial advice. Use at your own risk.
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Fair Value MSThis indicator introduces rigid rules to familiar concepts to better capture and visualize Market Structure and Areas of Support and Resistance in a way that is both rule-based and reactive to market movements.
Typical "Market Structure" or "Zig-Zag" methods determine swing points based on fixed thresholds (length or percentage). While this does provide rigid structure, the results may be lagging or confusing due to the timing, since it is fixed to static parameters.
I believe the concept of Fair Value Gaps can solve this problem.
As you will notice, there are no length settings in this indicator.
> FVG Market Structure
Fair Value Gaps are a well known concept used to indicate directional intent, forming when price moves aggressively in one direction, leaving behind an imbalance between buyers and sellers. While the term FVG was popularized by ICT, the underlying concept predates them, known historically as imbalances, inefficiencies, or liquidity voids in institutional trading.
Note: For simplicity, in this indicator they'll be called FVGs.
By reading into this, we are able to clearly and rigidly define market structure simply by "looking" at the chart, using objective price events rather than subjective interpretation, or lengths.
By using FVGs to determine structure direction, the length, and speed of identification lies entirely on the market. If an FVG Down occurs immediately after a New Higher High forms, it is reasonable to assume there was a seller at that point, so the script would indicate a New Swing High.
The script is NOT stuck, waiting for a % retrace, or # bars to pass to identify it as such.
Sometimes the market is in a steady trend in a single direction and no FVGs form; therefore, no structure forms. -> Why would we try to impose structure on a clear trend?
Ultimately, the FVG Structure Method uses real reactions from the market to determine Market structure, and is not fixed to specific parameters.
As with other market structure indicators, "Market Structure Breaks" are still identifiable when price moves outside the most recent swing points.
These are helpful to indicate larger direction. In the following section you will see how these help us determine when we should start the search for an "Area of Interest (AOI)".
> Areas of Interest (AOIs)
"Area of Interest (AOI)" is a generalized term, and could refer to many types of zones you might recognize under different names. While the AOIs in this indicator are specialized in their own way, I have chosen to simply use the term "Area of Interest" because it’s more important to understand how they behave and why they exist than to focus on what they’re called.
The goal of an AOI is to point out reasonable areas where buyers or sellers may be staging, as is typical with support and resistance.
In order to reasonably identify these areas, we look for cause and effect relationships. When considering these relationships, it's easier to understand the placement of the points to define each zone.
(Buyer Examples)
Cause: Strong Buyers step in at Swing Low
Effect: Fair Value Gap Forms
Cause: Sustained Buying Pressure
Effect: Market Structure Breaks
In this example, The zone is drawn from the Swing Low, to the Bottom of the FVG closest to the swing point.
In theory, the participation at the swing point was strong and aggressive enough to create the FVG imbalance. Which then found acceptance and continued into a Market Structure Break. So with these AOIs, we are trying to locate the aggressive Buyers or Sellers which were positioned BEFORE the FVG.
These Zones are intended to act as areas to look for reactions from market participants, to judge where price may be going. When revisiting these zones, we look for a reaction or a break, to further provide us information to if the buyers or sellers are still there.
As seen in the screenshot above, The information we gain is not from the creation of these zones, but from the behavior we witness when these zones are revisited.
Technical Note: In this indicator, Market Structure Breaks are only considered when price closes outside the recent swing points. Wicks are not considered as confirmation, therefore are not used to detect structural breaks.
Inside each AOI you can optionally display a readout of the volume which accumulated during the time starting at the swing point and going until the closing bar of the FVG.
Note: We are counting volume until the closing bar of the FVG since the FVG is a 3 bar formation, and aggressive volume is required throughout to create the imbalance.
There are multiple FVGs that typically occur in a single direction, but we do not look to every single one to be indicative of structure, only the first FVG in the opposite direction of the previous direction (which is determined by previous FVGs)
You will probably notice, the AOIs do not form from the closest swing or FVG to the break, this is because we are targeting larger directional changes to draw these AOIs from.
Since they do not always happen perfectly every time, the AOI formation waits for an FVG to occur AND a Market structure break to happen. One without the other will result in no Zone displaying.
> Reflection Lines
While they may seem slightly redundant, Reflection Lines serve as reminders of previous support and resistance pivots. They are drawn at the same Pivots where and AOI is formed, and extend beyond the mitigation of the AOI.
These lines are often points of price to look for "Support Flips", a re-test pattern where price trades through previous support (or resistance) then returns to it and rejects, continuing into a larger move or trend.
Their namesake is based on the behavior of price, "reflecting" at these levels.
The Reflection lines are simple and change color based on price's location.
If price is above, we would typically look to a reflection line in with support in mind.
As a basic filter, these lines use an average price to determine their color, this way they will not change their color as frequently in choppy situations.
> Session Start/End Lines
For analysis purposes and trade review, it is helpful to analyze with context.
For that reason, I have implemented start and end session lines into the indicator, these are helpful when reviewing historical charts to not provide additional context.
By default, they are set to the NYSE Session, but can be changed to fit any needs.
These lines are not advanced, and simply draw a line as the chart passes the start and end of the sessions. It's very likely that you may need to adjust the session for your specific needs.
Note: The Timezone can be adjusted within the code if needed. By Default, the indicator uses "America/New_York" Timezone.
> Conclusion
If you’ve ever felt like your structure tools were confusing or lagging, drawing zones too late, or zones that simply don't make sense, this should feel like a breath of fresh air.
By removing arbitrary length settings and instead using FVGs to define structure and as a basis for AOIs, you're getting a more accurate look at what price is doing and where it's reacting from.
This indicator is rule-based, reactive, and aims to keep things logical without fluff or false confidence.
Enjoy!
TheDevashishratio-MomentumThis custom momentum indicator is inspired by Fibonacci principles but builds a unique sequence with steps of 0.5 (i.e., 0, 0.5, 1, 1.5, 2, ...). Instead of traditional Fibonacci numbers, each step functions as a dynamic lookback period for a momentum calculation. By cycling through these fractional steps, you capture a layered view of price momentum over varying intervals.
The "Fibonacci" Series Used
Sequence:
0, 0.5, 1, 1.5, 2, … up to a user-defined maximum
For trading indicators, lag values (lookback) must be integers, so each step is rounded to the nearest integer and duplicates are removed, resulting in lookbacks:
1, 2, 3, 4, ... N
Indicator Logic
For each selected lookback, the indicator calculates momentum as:
Momentum
n
=
close
−
close
Momentum
n
=close−close
Where:
close = current price
n = integer from your series of
You can combine these momenta for an averaged or weighted momentum profile, displaying the composite as an oscillator.
How To Use
Bullish: Oscillator above zero indicates positive composite momentum.
Bearish: Oscillator below zero indicates negative composite momentum.
Crosses: A cross from below to above zero may signal emerging bullish momentum, and vice versa.
Customization
Adjust max_step to control how many interval lags you want in your composite.
This oscillator averages across many short and mid-term momenta, reducing noise while still being sensitive to changes.
Summary
TheDevashishratio-Momentum offers a fresh momentum oscillator, blending a "Fibonacci-like" progression with technical analysis, and can be easily copy-pasted into TradingView to experiment and refine your edge.
For more on momentum indicator logic or how to use arrays and series in Pine Script, explore TradingView's official documentation and open-source scripts
Ease of Movement Z-Score Trend | DextraGeneral Description:
The "Ease of Movement Z-Score Trend | Dextra" (EOM-Z Trend) is an innovative technical analysis tool that combines the Ease of Movement (EOM) concept with Z-Score to measure how easily price moves relative to volume, while identifying market trends with intuitive visualization. This indicator is designed to help traders detect uptrend and downtrend phases with precision, enhanced by candle coloring for direct trend representation on the chart.
Key Features
Ease of Movement (EOM): Measures how easily price moves based on the change in the midpoint price and volume, normalized with Z-Score for statistical analysis.
Z-Score Normalization: Provides an indication of deviations from the mean, enabling the identification of overbought or oversold conditions.
Adjustable Thresholds: Users can customize upper and lower thresholds to define trend boundaries.
Candle Coloring: Visual trend representation with green (uptrend), red (downtrend), and gray (neutral) candles.
Flexibility: Adjustable for different timeframes and assets.
How It Works
The indicator operates through the following steps:
EOM Calculation:
hl2 = (high + low) / 2: Calculates the average midpoint price per bar.
eom = ta.sma(10000 * ta.change(hl2) * (high - low) / volume, length): EOM is computed as the smoothed average of the price midpoint change multiplied by the price range per unit volume, scaled by 10,000, over length bars (default 20).
Z-Score Calculation:
mean_eom = ta.sma(eom, z_length): Average EOM over z_length bars (default 93).
std_dev_eom = ta.stdev(eom, z_length): Standard deviation of EOM.
z_score = (eom - mean_eom) / std_dev_eom: Z-Score indicating how far EOM deviates from its mean in standard deviation units.
Trend Detection:
upperthreshold (default 1.03) and lowerthreshold (default -1.63): Thresholds to classify uptrend (if Z-Score > upperthreshold) and downtrend (if Z-Score < lowerthreshold).
eom_is_up and eom_is_down: Logical variables for trend status.
Visualization:
plot(z_score, ...): Z-Score line plotted with green (uptrend), red (downtrend), or gray (neutral) coloring.
plotcandle(...): Candles colored green, red, or gray based on trend.
hline(...): Dashed lines marking the thresholds.
Input Settings
EOM Length (default 20): Period for calculating EOM, determining sensitivity to price changes.
Z-Score Lookback Period (default 93): Period for calculating the Z-Score mean and standard deviation.
Uptrend Threshold (default 1.03): Minimum Z-Score value to classify an uptrend.
Downtrend Threshold (default -1.93): Maximum Z-Score value to classify a downtrend.
How to Use
Installation: Add the indicator via the "Indicators" menu in TradingView and search for "EOM-Z Trend | Dextra".
Customization:
Adjust EOM Length and Z-Score Lookback Period based on the timeframe (e.g., 20 and 93 for daily timeframes).
Set Uptrend Threshold and Downtrend Threshold according to preference or asset characteristics (e.g., lower to 0.8 and -1.5 for volatile markets).
Interpretation:
Uptrend (Green): Z-Score above upperthreshold, indicating strong upward price movement.
Downtrend (Red): Z-Score below lowerthreshold, indicating significant downward movement.
Neutral (Gray): Conditions between thresholds, suggesting a sideways market.
Use candle coloring as the primary visual guide, combined with the Z-Score line for confirmation.
Advantages
Intuitive Visualization: Candle coloring simplifies trend identification without deep analysis.
Flexibility: Customizable parameters allow adaptation to various markets.
Statistical Analysis: Z-Score provides a robust perspective on price deviations from the norm.
No Repainting: The indicator uses historical data and does not alter values after a bar closes.
Limitations
Volume Dependency: Requires accurate volume data; an error occurs if volume is unavailable.
Market Context: Effectiveness depends on properly tuned thresholds for specific assets.
Lack of Additional Signals: No built-in alerts or supplementary confirmation indicators.
Recommendations
Ideal Timeframe: Daily (1D) or (2D) for stable trends.
Combination: Pair with others indicators for signal validation.
Optimization: Test thresholds on historical data of the traded asset for optimal results.
Important Notes
This indicator relies entirely on internal TradingView data (high, low, close, volume) and does not integrate on-chain data. Ensure your data provider supports volume to avoid errors. This version (1.0) is the initial release, with potential future updates including features like alerts or multi-timeframe analysis.
Max Drawdown (Asset-Based Lookback)Max Drawdown (Long-Term Trading)
🟦 Majors BTC, ETH, BNB, LTC 180 – 365
Captures full correction cycles and recovery patterns (6–12 months).
🟩 Altcoins SOL, ADA, DOT, LINK, AVAX 90 – 180
Alts move faster than majors; 3–6 months catches most large swings.
🟥 Meme coins DOGE, SHIB, PEPE, FLOKI 60 – 120
Volatile with quick trend reversals; 2–4 months captures parabolic runs + drawdowns.
📅 Chart Timeframe:
Use Daily (1D) timeframe for all these.
For extra macro insight, try Weekly (1W) with 52 bars (≈ 1 year).
Compare multiple assets using the same period to assess relative risk.
If you're building a long-term portfolio, combine this with:
200-day SMA or EMA for trend context.
Sharpe Ratio or Sortino Ratio if you're looking for risk-adjusted return metrics.
8 AM & 9 AM NY Candle HighlighterThis indicator helps me to know when the 9am NY candle has closed above or below the previous candle.
Expansion Triangle [TradingFinder] MegaPhone Broadening🔵 Introduction
The Expanding Triangle, also known as the Broadening Formation, is one of the key technical analysis patterns that clearly reflects growing market volatility, increasing indecision among participants, and the potential for sharp price explosions.
This pattern is typically defined by a sequence of higher highs and lower lows, forming within two diverging trendlines. Unlike traditional triangles that converge to a breakout point, the expanding triangle pattern becomes wider over time, leaving no precise apex for a breakout to occur.
From a price action perspective, the pattern represents a prolonged tug-of-war between buyers and sellers, where neither side has taken control yet. Each aggressive swing opens the door to new opportunities whether it's a trend reversal, range trading, or a momentum breakout. This dual nature makes the pattern highly versatile across market conditions, from exhausted trend ends to volatile consolidation zones.
The custom-built indicator for this pattern uses a combination of smart algorithms and detailed analysis of swing dynamics to automatically detect expanding triangles and highlight low-risk entry points.
Traders can use this tool to capitalize on high-probability setups from shorting near the upper edge of the structure with confirmation, to trading bearish breakouts during trend continuations, or entering long positions near the lower boundary during bullish reversals. The chart examples included in this article demonstrate these three highly practical trading scenarios in live market conditions.
A major advantage of this indicator lies in its structural filtering engine, which analyzes the behavior of each price leg in the triangle. With four adjustable filter levels from Very Aggressive, which highlights all potential patterns, to Very Defensive, which only triggers when price actually touches the triangle's trendlines the indicator ensures that only structurally sound and verified setups appear on the chart, reducing noise and false signals significantly.
Long Setup :
Short Setup :
🔵 How to Use
The pattern typically forms in conditions of heightened uncertainty and volatility, where price swings generate a series of higher highs and lower lows. The expanding triangle consists of three key legs bounded by diverging trendlines. The indicator intelligently analyzes each leg's direction and angle to determine whether a valid pattern is forming.
At the core of the indicator’s logic is its leg filtering system, which controls the quality of the pattern and filters out weak or noisy setups. Four structural filter modes are available to suit different trading styles and risk preferences. In Very Aggressive mode, filters are disabled, and the indicator detects any pattern purely based on the sequence of swing points.
This mode is ideal for traders who want to see everything and apply their own discretion.
In Aggressive mode, the indicator checks whether each new leg extends no more than twice the length of the previous one. If a leg overshoots excessively, the structure is invalidated.
In Defensive mode, the filter enforces a minimum movement requirement each leg must move at least 2% of the previous one. This prevents the formation of shallow, weak patterns that visually resemble triangles but lack substance.
The strictest setting, Very Defensive, combines all previous filters and additionally requires the price to physically touch the triangle’s trendlines before issuing a signal. This ensures that setups only appear when real market interaction with key structural levels has occurred, not based on assumptions or geometry alone. This mode is ideal for traders seeking maximum precision and minimal risk.
🟣 Bullish Setup
A bullish setup within the Expanding Triangle pattern occurs when price revisits the lower support boundary after a series of broad swings typically near the third leg of the formation. This area often represents a shift in momentum, where sellers begin to lose strength and buyers prepare to take control.
Ideally, the setup is accompanied by a bullish reversal candle (e.g. doji, pin bar, or engulfing) near the lower trendline. If the Very Defensive filter is active, the indicator will only issue a signal if price makes a confirmed touch on the trendline and reacts from that level. This significantly improves signal accuracy and filters out premature entries.
After confirmation, traders may choose to enter a long position on the bullish candle or shortly afterward. A logical stop-loss is placed just below the recent swing low within the pattern. The target can be set at or near the upper trendline, or projected using the full height of the triangle added to the breakout point. On higher timeframes, this reversal often marks the beginning of a strong uptrend.
🟣 Bearish Setup
A bearish setup forms when price climbs toward the upper resistance trendline, usually as the third leg completes. This is where buyers often begin to show exhaustion, and sellers step in with strength providing an ideal low-risk entry point for short positions.
As with the bullish setup, if the Candle Confirmation filter is enabled, the indicator will only show a signal when a bearish reversal candle forms at the point of contact. If Defensive or Very Defensive filters are also active, the setup must meet strict criteria of proportionate leg movement and an actual trendline touch to qualify.
Once confirmed, traders can enter on the reversal candle, placing a stop-loss slightly above the recent high. The target can be set at the lower trendline or calculated based on the triangle's full height, projected downward. This setup is particularly useful at the end of weak bullish trends or in volatile market tops.
🔵 Settings
🟣 Logic Settings
Pivot Period : Defines how many bars are analyzed to identify swing highs and lows. Higher values detect larger, slower structures, while lower values respond to faster patterns. The default value of 13 offers a balanced sensitivity.
Pattern Filter :
Very Aggressive : Detects all patterns based on point sequence with no structural checks.
Aggressive : Ensures each leg is no more than 2x the size of the previous one.
Defensive : Requires each leg to be at least 2% the size of the previous leg.
Very Defensive : The strictest level; only confirms patterns when price touches trendlines.
Candle Confirmation : When enabled, the indicator requires a valid confirmation candle (doji, pin bar, engulfing) at the interaction point with the trendline before issuing a signal. This reduces false entries and improves entry precision.
🟣 Alert Settings
Alert : Enables alerts for SSS.
Message Frequency : Determines the frequency of alerts. Options include 'All' (every function call), 'Once Per Bar' (first call within the bar), and 'Once Per Bar Close' (final script execution of the real-time bar). Default is 'Once per Bar'.
Show Alert Time by Time Zone : Configures the time zone for alert messages. Default is 'UTC'.
🔵 Conclusion
The Expanding Triangle pattern, with its wide structure and volatility-driven nature, represents chaos but also opportunity. For traders who can read its behavior, it provides some of the most powerful setups for reversals, breakouts, and range-based trades. While the pattern may seem messy at first glance, it is built on clear logic and when properly detected, it offers high-probability opportunities.
This indicator doesn’t just draw expanding triangles it intelligently evaluates their structural quality, validates price interaction through candle confirmation, and allows the trader to fine-tune the detection logic through adjustable filter levels. Whether you’re a reversal trader looking for a turning point, or a breakout trader hunting momentum, this tool adapts to your strategy.
In volatile or uncertain markets, where fakeouts and sudden shifts are common, this indicator can become a cornerstone of your trading system helping you turn volatility into structured, high-quality opportunities.
MA Signal IndicatorMA Signal Indicator
The MA Signal Indicator is a customizable designed to identify potential trading opportunities based on price interactions with a Simple Moving Average (SMA). It incorporates risk management features such as stop-loss (SL), take-profit (TP), and breakeven levels, calculated using the Average True Range (ATR). The indicator is visually intuitive, overlaying trade signals, price levels, and colored zones directly on the chart.
Key Features:
1. Moving Average-Based Signals:
• Generates buy (long) signals when the price crosses above a user-defined SMA (default: 55 periods).
• Generates sell (short) signals when the price crosses below the SMA.
• Long and short trades can be independently enabled or disabled via input settings.
2. Risk Management:
• Stop-Loss (SL): Set as a multiple of the ATR (default: 1x ATR) below the entry price for long trades or above for short trades.
• Take-Profit (TP): Set as a multiple of the ATR (default: 5x ATR) above the entry price for long trades or below for short trades.
• Breakeven Level: A trigger level (default: 2x ATR) where traders may choose to move their stop-loss to breakeven, optionally displayed on the chart.
3. Visual Feedback:
• SMA Line: Plotted in orange (default: 55-period SMA) for trend reference.
• Trade Zone: Highlights the area between the stop-loss and take-profit levels with a semi-transparent green (long) or red (short) background.
• Price Lines: Displays entry price (white), stop-loss (red), take-profit (green), and breakeven level (gray, optional) as horizontal lines during active trades.
• Signal Markers: Triangular markers indicate entry points (green triangle up for long, red triangle down for short).
• Exit Markers: Labels show when a trade hits the take-profit (green checkmark) or stop-loss (red cross).
4. Trade Logic:
• Only one trade is active at a time (long or short).
• Trades are exited when either the stop-loss or take-profit is hit, resetting the indicator for the next signal.
• Ensures signals are only triggered when not already in a trade, avoiding duplicate entries.
Inputs:
• MA Period: Length of the SMA (default: 55).
• ATR Period: Period for ATR calculation (default: 5).
• SL Multiplier: ATR multiplier for stop-loss (default: 1.0).
• TP Multiplier: ATR multiplier for take-profit (default: 5.0).
• Move to Breakeven After: ATR multiplier for breakeven trigger (default: 2.0).
• Show Break Even Line: Option to display the breakeven level (default: true).
• Allow Long Trades: Enable/disable long signals (default: true).
• Allow Short Trades: Enable/disable short signals (default: true).
Use Case:
This indicator is ideal for trend-following traders who want a clear, visual system for entering and exiting trades based on SMA crossovers, with predefined risk and reward levels. It suits both manual and automated trading strategies, providing flexibility to adjust parameters for different markets or timeframes.
Notes:
• The indicator is overlaid on the price chart for easy integration with other analysis tools.
• Users should test and adjust parameters (e.g., MA length, ATR multipliers) to suit their trading style and market conditions.
• The breakeven line is a visual guide; manual adjustment of stops is required as the indicator does not automatically modify trade positions.
This indicator provides a robust framework for disciplined trading with clear entry, exit, and risk management visuals.
Liquidity Swings [Nix]Liquidity Swings Indicator!
It marks recent swing highs and lows on the chart using lines and labels.
Another great feature is that it tracks whether those swing levels are SWEPT (price crosses them again) and either:
Removes swept levels, or
Fades them to indicate they’ve been taken.
You can customize:
Number of swings shown.
Colors, styles, and visibility of lines/labels.
Whether to show highs, lows, or both.
Useful for liquidity analysis.
Usually when these special swings are swept, you can consider moving stops to BE. This is because there should be enough stop losses at the swing points to liquidate others and give more fuel to your trade direction!
CQ_MTF Target Price Lines [BITCOIN HOY]Comprehensive Indicator Script Overview
Intraday, Four Hour, Daily, and Weekly Price Target Lines—A Versatile Tool for Traders
Welcome to a powerful and flexible indicator script designed to enhance your trading experience across multiple timeframes. This script empowers users to interactively set, visualize, and manage price targets, entries, and objectives for both short-term and long-term trading strategies. Whether you are a day trader seeking to mark crucial intraday levels or a long-term investor planning strategic entries, this tool offers an all-encompassing solution.
Key Features
• Multi-Time Frame Price Target Lines: Effortlessly input and display calculated price targets for Intraday, Four Hour, Daily, and Weekly periods, ensuring you always have a clear view of the market objectives at every scale.
• X-Axis Price Control: Set precise x-axis price points for each timeframe, granting you granular control over how and where your target lines appear on the chart.
• Weekly Price Objectives: Enter your calculated price objectives for the current week to remain aligned with your trading plan and adapt to evolving market conditions.
• Long-Term Investment Entry Events: Document and display significant entry events for long-term investments, helping you maintain a strategic perspective while navigating short-term fluctuations.
• Long-Term Price Objectives: Input and track price objectives for your long-term trades, supporting your investment decisions with clearly visualized milestones.
• Customizable Labels and Lines: Each price target is accompanied by clearly labeled lines, making it easy to distinguish between timeframes and targets at a glance.
Optional Price Gauge for Intraday Dynamics
For users who wish to monitor real-time market sentiment, the script includes an optional price gauge. This dynamic feature tracks intraday price movement, providing visual cues to quickly assess whether the prevailing tendency is bullish or bearish. The intuitive gauge aids in confirming your intraday strategies or alerting you to potential reversals.
User Experience and Customization
• Interactive Inputs: All key parameters—price targets, x-axis prices, entry events, and objectives—are entered manually by the user. This approach ensures the script adapts to your personal analysis and trading methodology.
• Easy Visualization: The clear display of lines, labels, and the optional gauge streamlines your chart, making it easier to make informed decisions at a glance.
• Flexible Application: Whether you’re trading short-term swings or building positions for the long haul, the indicator integrates seamlessly into your workflow.
How to Use
• Input your calculated price targets for each timeframe (Intraday, Four Hour, Daily, and Weekly).
• Specify the exact x-axis price points where you’d like the lines to appear for each timeframe.
• For the current week, enter your weekly price objectives for quick reference and planning.
• If you’re a long-term investor, document your key entry events and set long-term price objectives to track their progression.
• To monitor current market momentum, activate the price gauge and follow the visual cues for bullish or bearish trends.
Benefits
• Comprehensive Market Overview: Simultaneously track multiple timeframes and objectives, keeping all critical information at your fingertips.
• Improved Decision Making: Visual clarity and strategic labeling support faster, more confident trading decisions.
• Customizable and Adaptable: Tailor the script to your unique trading style and analytical approach.
Enjoy using the indicator, and happy trading! Let this versatile tool be your companion in navigating the ever-changing tides of the market.
Economy RadarEconomy Radar — Key US Macro Indicators Visualized
A handy tool for traders and investors to monitor major US economic data in one chart.
Includes:
Inflation: CPI, PCE, yearly %, expectations
Monetary policy: Fed funds rate, M2 money supply
Labor market: Unemployment, jobless claims, consumer sentiment
Economy & markets: GDP, 10Y yield, US Dollar Index (DXY)
Options:
Toggle indicators on/off
Customizable colors
Tooltips explain each metric (in Russian & English)
Perfect for spotting economic cycles and supporting trading decisions.
Add to your chart and get a clear macro picture instantly!
Checklist Dashboard Table# Checklist Dashboard Table – ICT/SMC Trading Helper
Overview
The “Checklist Dashboard Table” is a TradingView indicator designed to help traders structure, organize, and validate their market analyses following the ICT/SMC (Inner Circle Trader / Smart Money Concepts) methodology. It provides a visual and interactive checklist directly on your chart, ensuring you never miss a crucial step in your decision-making process.
Key Features
- Visual Checklist : All your trading criteria are displayed as color-coded checkboxes (green for validated, red for not validated), making your analysis process both clear and efficient.
- Clear Separation Between Analysis and Confirmations :
- Analysis : Reminders for your routine, such as timeframe selection (M3 to H4), trend analysis via RSI, and identification of key zones (Midnight Open, SSL/BSL, Asian High/Low).
- Confirmations : Six customizable criteria to check off as you validate your setup (clear trend, OB + FVG, OTE zone, Premium/Discount, R/R > 1:2, CBDR/Midnight).
- Personal Notes Section : Keep your trade entries, observations, or comments in a dedicated field in the indicator’s settings. Your notes are displayed right in the checklist for quick reference and journaling.
- Elegant and Compact Display : The table is styled for readability and can be positioned anywhere on your chart.
- Quick Customization : Instantly update any criterion or your personal notes via the script settings.
How to Use
1. Add the indicator to your chart.
2. Review the “Analysis” section as your pre-trade routine reminder.
3. Check off the “Confirmations” criteria as you validate your entry strategy.
4. Write your trade notes or comments in the provided notes section.
5. Use the checklist to reinforce discipline and repeatability in your trading.
Why Use This Checklist?
- Prevents you from skipping important steps in your analysis.
- Reinforces trading discipline and consistency.
- Allows you to document and review your trade decisions for ongoing improvement.
Who Is It For?
Perfect for ICT/SMC traders, but also valuable for anyone looking to organize and systematize their trading process.
Happy trading!
NY HIGH LOW BREAKNY HIGH LOW BREAK: A New York Session Breakout Strategy
The "NY HIGH LOW BREAK" indicator is a powerful TradingView script designed to identify and capitalize on breakout opportunities during the New York trading session. This strategy focuses on the initial price action of the New York market open, looking for clear breaches of the high or low established within the first 30 minutes. It's particularly suited for intraday traders who seek to capture momentum-driven moves.
Strategy Logic
The core of the "NY HIGH LOW BREAK" strategy revolves around these key components:
New York Session Opening Range Identification:
The script first identifies the opening range of the New York session. This is defined by the high and low prices established during the first 30 minutes of the New York trading session (from 7:01 AM GMT-4 to 7:31 AM GMT-4).
These crucial levels are then extended forward on the chart as horizontal lines, serving as potential support and resistance zones.
Breakout Signal Generation:
Long Signal: A buy signal is generated when the price breaks above the high of the New York opening range. Specifically, it looks for a candle whose open and close are both above the highLinePrice, and importantly, the previous candle's open was below and close was above the highLinePrice. This indicates a strong upward momentum confirming the breakout.
Short Signal: Conversely, a sell signal is generated when the price breaks below the low of the New York opening range. It looks for a candle whose open and close are both below the lowLinePrice, and the previous candle's open was above and close was below the lowLinePrice. This suggests strong downward momentum confirming the breakdown.
Supertrend Filter (Implicit/Future Enhancement):
While the supertrend and direction variables are present in the code, they are not actively used in the current signal generation logic. This suggests a potential future enhancement where the Supertrend indicator could be incorporated as a trend filter to confirm breakout directions, adding an extra layer of confluence to the signals. For example, only taking long breakouts when Supertrend indicates an uptrend, and short breakouts when Supertrend indicates a downtrend.
Second Candle Confirmation (Possible Future Enhancement):
The close_sec_candle function and openSEC, closeSEC variables indicate an attempt to capture the open and close of a "second candle" (30 minutes after the initial New York open). Currently, closeSEC is used in a specific condition for signal_way but not directly in the primary longSignal or shortSignal logic. This also suggests a potential future refinement where the price action of this second candle could be used for further confirmation or specific entry criteria.
Time-Based Filtering:
Signals are only considered valid within a specific trading window from 8:00 AM GMT-4 to 8:00 AM GMT-4 + 16 * 30 minutes (which is 480 minutes, or 8 hours) on 1-minute and 5-minute timeframes. This ensures that trades are taken during the most active and volatile periods of the New York session, avoiding late-session chop.
The script also highlights the New York session and lunch hours using background colors, providing visual context to the trading day.
Key Features
Automated New York Open Range Detection: The script automatically identifies and plots the high and low of the first 30 minutes of the New York trading session.
Clear Breakout Signals: Visually distinct "BUY" and "SELL" labels appear on the chart when a breakout occurs, making it easy to spot trading opportunities.
Timeframe Adaptability: While optimized for 1-minute and 5-minute timeframes for signal generation, the opening range lines can be displayed on various timeframes.
Customizable Risk-to-Reward (RR): The rr input allows users to define their preferred risk-to-reward ratio for potential trades, although it's not directly implemented in the current signal or trade management logic. This could be used by traders for manual trade management.
Visual Session and Lunch Highlights: The script colors the background to clearly delineate the New York trading session and the lunch break, helping traders understand the market context.
How to Use
Apply the Indicator: Add the "NY HIGH LOW BREAK" indicator to your chart on TradingView.
Select a Relevant Timeframe: For optimal signal generation, use 1-minute or 5-minute timeframes.
Observe the Opening Range: The green and red lines represent the high and low of the first 30 minutes of the New York session.
Look for Breakouts: Wait for price to decisively break above the green line (for a buy) or below the red line (for a sell).
Confirm Signals: The "BUY" or "SELL" labels will appear on the chart when the breakout conditions are met within the active trading window.
Implement Your Risk Management: Use your preferred risk management techniques, including stop-loss and take-profit levels, in conjunction with the signals generated. The rr input can guide your manual risk-to-reward calculations.
Potential Enhancements & Considerations
Supertrend Confirmation: Integrating the supertrend variable to filter signals would significantly enhance the strategy's robustness by aligning trades with the prevailing trend.
Stop-Loss and Take-Profit Automation: The rr input currently serves as a manual guide. Future versions could integrate automated stop-loss and take-profit placement based on this ratio, potentially using ATR for dynamic sizing.
Volume Confirmation: Adding a volume filter to confirm breakouts would ensure that only high-conviction moves are traded.
Backtesting and Optimization: Thorough backtesting across various assets and market conditions is crucial to determine the optimal settings and profitability of this strategy.
Session Times: The current session times are hardcoded. Making these user-definable inputs would allow for greater flexibility across different time zones and trading preferences.
The "NY HIGH LOW BREAK" is a straightforward yet effective strategy for capturing initial New York session momentum. By focusing on clear breakout levels, it aims to provide timely and actionable trading signals for intraday traders.
Profitable Loser Model [MMT]Profitable Loser Model
Overview
The Profitable Loser Model is a powerful PineScript v6 indicator designed to enhance your trading by visualizing key price levels, session open zones, Fibonacci retracements, and premium/discount zones. This overlay indicator provides traders with a customizable toolkit to analyze market structure across any timeframe, making it ideal for intraday and swing trading strategies.
Features
Open Zone Visualization
- Plots a box based on the open and close of the first candle in a user-defined timeframe (default: 5-minute).
- Customizable box color, projection offset, and label size (Tiny, Small, Normal, Large).
- Displays a timeframe label (e.g., "5m Open Zone") for quick reference, toggleable on/off.
Session Open Lines
- Optionally draws horizontal lines at key session opens (8:30 AM, 9:30 AM, 1:30 PM, Midnight, New York time).
- Customize line color, style (Solid, Dashed, Dotted), width, and label size for each session.
- Perfect for identifying critical intraday price levels.
Premium and Discount Zones
- Highlights premium (above midpoint) and discount (below midpoint) zones based on session high/low.
- Toggleable with customizable colors and projection offsets.
- Helps traders spot overbought/oversold areas for potential mean-reversion trades.
Fibonacci Retracement Levels
- Plots user-defined Fibonacci levels (default: 0.23, 0.35, 0.5, 0.62, 0.705, 0.79, 0.886, 1, 1.1).
- Customizable line style, width, color, and labels (showing percentage and/or price).
- Dynamically adjusts based on price movement relative to the open zone.
Take Profit (TP) and Stop Loss (SL) Levels
- Highlights TP (default: 0.23) and SL (default: 1.1) Fibonacci levels with distinct colors.
- Fully customizable to align with your risk-reward strategy.
How It Works
- Session Detection : Resets daily (or per user-defined timeframe) to capture the first candle's open, high, low, and close.
- Open Zone : Draws a box between the open and close, extended forward by the projection offset.
- Session Lines : Plots lines at specified session opens with customizable styles and labels.
- Fibonacci Retracement : Adjusts levels dynamically based on session high/low and price action.
- Premium/Discount Zones : Calculated from the session range midpoint, updated in real-time.
Settings
- Open Zone :
- Timeframe (default: 5m), Calculate Timeframe (default: Daily).
- Toggle label, adjust size, box color, and projection offset.
- Session Open Lines :
- Enable/disable lines for 8:30 AM, 9:30 AM, 1:30 PM, Midnight.
- Customize color, style, width, label size, and vertical offset.
- Premium/Discount Zones :
- Toggle visibility, set colors, and adjust projection offset.
- Fibonacci Retracement :
- Toggle visibility, set custom levels, line style, width, color, and label options.
- Adjust projection offset.
- TP/SL :
- Set TP/SL Fibonacci levels and colors.
Use Cases
- Intraday Trading : Use session open lines and open zones to trade key market hours.
- Swing Trading : Leverage Fibonacci levels for potential reversal or continuation zones.
- Risk Management : Set precise TP/SL levels based on Fibonacci retracements.
- Market Structure : Identify overbought/oversold zones with premium/discount areas.
Notes
- Optimized with `dynamic_requests = true` for efficient real-time data handling.
- Visual elements (boxes, lines, labels) are cleaned up at the start of each new session.
- Session lines use New York time (`America/New_York`) for alignment with major markets.
National Financial Conditions Index (NFCI)This is one of the most important macro indicators in my trading arsenal due to its reliability across different market regimes. I'm excited to share this with the TradingView community because this Federal Reserve data is not only completely free but extraordinarily useful for portfolio management and risk assessment.
**Important Disclaimers**: Be aware that some NFCI components are updated only monthly but carry significant weighting in the composite index. Additionally, the Fed occasionally revises historical NFCI data, so historical backtests should be interpreted with some caution. Nevertheless, this remains a crucial leading indicator for financial stress conditions.
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## What is the National Financial Conditions Index?
The National Financial Conditions Index (NFCI) is a comprehensive measure of financial stress and liquidity conditions developed by the Federal Reserve Bank of Chicago. This indicator synthesizes over 100 financial market variables into a single, interpretable metric that captures the overall state of financial conditions in the United States (Brave & Butters, 2011).
**Key Principle**: When the NFCI is positive, financial conditions are tighter than average; when negative, conditions are looser than average. Values above +1.0 historically coincide with financial crises, while values below -1.0 often signal bubble-like conditions.
## Scientific Foundation & Research
The NFCI methodology is grounded in extensive academic research:
### Core Research Foundation
- **Brave, S., & Butters, R. A. (2011)**. "Monitoring financial stability: A financial conditions index approach." *Economic Perspectives*, 35(1), 22-43.
- **Hatzius, J., Hooper, P., Mishkin, F. S., Schoenholtz, K. L., & Watson, M. W. (2010)**. "Financial conditions indexes: A fresh look after the financial crisis." *US Monetary Policy Forum Report*, No. 23.
- **Kliesen, K. L., Owyang, M. T., & Vermann, E. K. (2012)**. "Disentangling diverse measures: A survey of financial stress indexes." *Federal Reserve Bank of St. Louis Review*, 94(5), 369-397.
### Methodological Validation
The NFCI employs Principal Component Analysis (PCA) to extract common factors from financial market data, following the methodology established by **English, W. B., Tsatsaronis, K., & Zoli, E. (2005)** in "Assessing the predictive power of measures of financial conditions for macroeconomic variables." The index has been validated through extensive academic research (Koop & Korobilis, 2014).
## NFCI Components Explained
This indicator provides access to all five official NFCI variants:
### 1. **Main NFCI**
The primary composite index incorporating all financial market sectors. This serves as the main signal for portfolio allocation decisions.
### 2. **Adjusted NFCI (ANFCI)**
Removes the influence of credit market disruptions to focus on non-credit financial stress. Particularly useful during banking crises when credit markets may be impaired but other financial conditions remain stable.
### 3. **Credit Sub-Index**
Isolates credit market conditions including corporate bond spreads, commercial paper rates, and bank lending standards. Important for assessing corporate financing stress.
### 4. **Leverage Sub-Index**
Measures systemic leverage through margin requirements, dealer financing, and institutional leverage metrics. Useful for identifying leverage-driven market stress.
### 5. **Risk Sub-Index**
Captures market-based risk measures including volatility, correlation, and tail risk indicators. Provides indication of risk appetite shifts.
## Practical Trading Applications
### Portfolio Allocation Framework
Based on the academic research, the NFCI can be used for portfolio positioning:
**Risk-On Positioning (NFCI declining):**
- Consider increasing equity exposure
- Reduce defensive positions
- Evaluate growth-oriented sectors
**Risk-Off Positioning (NFCI rising):**
- Consider reducing equity exposure
- Increase defensive positioning
- Favor large-cap, dividend-paying stocks
### Academic Validation
According to **Oet, M. V., Eiben, R., Bianco, T., Gramlich, D., & Ong, S. J. (2011)** in "The financial stress index: Identification of systemic risk conditions," financial conditions indices like the NFCI provide early warning capabilities for systemic risk conditions.
**Illing, M., & Liu, Y. (2006)** demonstrated in "Measuring financial stress in a developed country: An application to Canada" that composite financial stress measures can be useful for predicting economic downturns.
## Advanced Features of This Implementation
### Dynamic Background Coloring
- **Green backgrounds**: Risk-On conditions - potentially favorable for equity investment
- **Red backgrounds**: Risk-Off conditions - time for defensive positioning
- **Intensity varies**: Based on deviation from trend for nuanced risk assessment
### Professional Dashboard
Real-time analytics table showing:
- Current NFCI level and interpretation (TIGHT/LOOSE/NEUTRAL)
- Individual sub-index readings
- Change analysis
- Portfolio guidance (Risk On/Risk Off)
### Alert System
Professional-grade alerts for:
- Risk regime changes
- Extreme stress conditions (NFCI > 1.0)
- Bubble risk warnings (NFCI < -1.0)
- Major trend reversals
## Optimal Usage Guidelines
### Best Timeframes
- **Daily charts**: Recommended for intermediate-term positioning
- **Weekly charts**: Suitable for longer-term portfolio allocation
- **Intraday**: Less effective due to weekly update frequency
### Complementary Indicators
For enhanced analysis, combine NFCI signals with:
- **VIX levels**: Confirm stress readings
- **Credit spreads**: Validate credit sub-index signals
- **Moving averages**: Determine overall market trend context
- **Economic surprise indices**: Gauge fundamental backdrop
### Position Sizing Considerations
- **Extreme readings** (|NFCI| > 1.0): Consider higher conviction positioning
- **Moderate readings** (|NFCI| 0.3-1.0): Standard position sizing
- **Neutral readings** (|NFCI| < 0.3): Consider reduced conviction
## Important Limitations & Considerations
### Data Frequency Issues
**Critical Warning**: While the main NFCI updates weekly (typically Wednesdays), some underlying components update monthly. Corporate bond indices and commercial paper rates, which carry significant weight, may cause delayed reactions to current market conditions.
**Component Update Schedule:**
- **Weekly Updates**: Main NFCI composite, most equity volatility measures
- **Monthly Updates**: Corporate bond spreads, commercial paper rates
- **Quarterly Updates**: Banking sector surveys
- **Impact**: Significant portion of index weight may lag current conditions
### Historical Revisions
The Federal Reserve occasionally revises NFCI historical data as new information becomes available or methodologies are refined. This means backtesting results should be interpreted cautiously, and the indicator works best for forward-looking analysis rather than precise historical replication.
### Market Regime Dependency
The NFCI effectiveness may vary across different market regimes. During extended sideways markets or regime transitions, signals may be less reliable. Consider combining with trend-following indicators for optimal results.
**Bottom Line**: Use NFCI for medium-term portfolio positioning guidance. Trust the directional signals while remaining aware of data revision risks and update frequency limitations. This indicator is particularly valuable during periods of financial stress when reliable guidance is most needed.
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**Data Source**: Federal Reserve Bank of Chicago
**Update Frequency**: Weekly (typically Wednesdays)
**Historical Coverage**: 1973-present
**Cost**: Free (public Fed data)
*This indicator is for educational and analytical purposes. Always conduct your own research and risk assessment before making investment decisions.*
## References
Brave, S., & Butters, R. A. (2011). Monitoring financial stability: A financial conditions index approach. *Economic Perspectives*, 35(1), 22-43.
English, W. B., Tsatsaronis, K., & Zoli, E. (2005). Assessing the predictive power of measures of financial conditions for macroeconomic variables. *BIS Papers*, 22, 228-252.
Hatzius, J., Hooper, P., Mishkin, F. S., Schoenholtz, K. L., & Watson, M. W. (2010). Financial conditions indexes: A fresh look after the financial crisis. *US Monetary Policy Forum Report*, No. 23.
Illing, M., & Liu, Y. (2006). Measuring financial stress in a developed country: An application to Canada. *Bank of Canada Working Paper*, 2006-02.
Kliesen, K. L., Owyang, M. T., & Vermann, E. K. (2012). Disentangling diverse measures: A survey of financial stress indexes. *Federal Reserve Bank of St. Louis Review*, 94(5), 369-397.
Koop, G., & Korobilis, D. (2014). A new index of financial conditions. *European Economic Review*, 71, 101-116.
Oet, M. V., Eiben, R., Bianco, T., Gramlich, D., & Ong, S. J. (2011). The financial stress index: Identification of systemic risk conditions. *Federal Reserve Bank of Cleveland Working Paper*, 11-30.
Dynamic SL/TP Levels (ATR or Fixed %)This indicator, "Dynamic SL/TP Levels (ATR or Fixed %)", is designed to help traders visualize potential stop loss (SL) and take profit (TP) levels for both long and short positions, refreshing dynamically on each new bar. It assumes entry at the current bar's close price and uses a fixed 1:2 risk-reward ratio (TP is twice the distance of SL in the profit direction). Levels are displayed in a compact table in the chart pane for easy reference, without cluttering the main chart with lines.
Key Features:
Calculation Modes:
ATR-Based (Dynamic): SL distance is derived from the Average True Range (ATR) multiplied by a user-defined factor (default 1.5x). This adapts to the asset's volatility, providing breathing room based on recent price movements.
Fixed Percentage: SL is set as a direct percentage of the current close price (default 0.5%), offering consistent gaps regardless of volatility.
Long and Short Support: Calculates and shows SL/TP for longs (SL below close, TP above) and shorts (SL above close, TP below), with toggles to hide/show each.
Real-Time Updates: Levels recalculate every bar, making them readily available for entry decisions in your trading system.
Display: Outputs to a table in the top-right pane, showing precise values formatted to the asset's tick size (e.g., full decimal places for crypto).
How to Use:
Add the indicator to your chart via TradingView's Pine Editor or library.
Adjust settings:
Toggle "Use ATR?" on/off to switch modes.
Set "ATR Length" (default 14) and "ATR Multiplier for SL" for dynamic mode.
Set "Fixed SL %" for percentage mode.
Enable/disable "Show Long Levels" or "Show Short Levels" as needed.
Interpret the table: Use the displayed SL/TP values when your strategy signals an entry. For risk management, combine with position sizing (e.g., risk 1% of account per trade based on SL distance).
Example: On a volatile asset like BTC, ATR mode might set a wider SL for realism; on stable pairs, fixed % ensures predictability.
This tool promotes disciplined trading by tying levels to price action or fixed rules, but it's not financial advice—always backtest and use with your full strategy. Feedback welcome!
ShadowStats vs Official CPI YoY%This chart visualizes and compares the year-over-year (YoY) percentage change in the Consumer Price Index (CPI) as calculated by the U.S. government versus the alternative methodology used by ShadowStats, which reflects pre-1980 inflation measurement techniques. The red line represents ShadowStats' CPI YoY% estimates, while the blue line shows the official CPI YoY% reported by government sources. This side-by-side view highlights the divergence in reported inflation rates over time, particularly from the 1980s onward, offering a visual representation of how different calculation methods can lead to vastly different interpretations of inflation and purchasing power loss.
Trading CalculatorTrading Calculator Indicator
VIBE CODED WITH GROK 3
The Trading Calculator is a Pine Script indicator designed to perform quick and useful trading-related calculations directly on your chart. It allows traders to execute basic arithmetic operations—such as addition, subtraction, multiplication, and division—as well as calculate percent change and average using either numerical values or trading variables (e.g., close, open, high, low, volume). The indicator displays its results in a table that resembles a calculator interface, making it both functional and visually intuitive. Unlike typical indicators, it does not overlay on the price chart but instead appears in a separate pane.
Inputs
Formula (new | old): First value or variable (e.g., 100, close, close ). Example: close uses the current closing price.
Operator: Mathematical operation (e.g., Plus, Minus, Multiply). Example: Plus adds the two inputs.
Second Input: Second value or variable (e.g., 50, open, close ). Example: open uses the current opening price.
