Tracking Lines with TP/SL + Labels at LeftA simple indicator so you can set your TP and SL tolerance along with capital and leverage.
A red line and green line will represent where current TP and SL would be on the chart along with the number of tokens you need to trade to meet the USD capital to be trades.
Just gives a visual representation of SL to key zones on the chart so you can judge scalp entries a little better :)
Indicadores e estratégias
Sigma (Standard Deviation)Calculates the standard deviation (sigma) of a stock in percentages. You can edit the length as per your need.
BB Breakout + Momentum Squeeze [Strategy]This Strategy is Based on 3 free indicators
- Bollinger Bands Breakout Oscillator: Link
- TTM Squeeze Pro: Link
- Rolling ATR Bands: Link
Bollinger Bands Breakout Oscillator - This tool shows how strong a market trend is by measuring how often prices move outside their normal Bollinger bands range. It helps you see whether prices are strongly moving in one direction or just moving sideways. By looking at how much and how frequently prices push beyond their typical boundaries, you can identify which direction the market is heading over your selected time period.
TM Squeeze Pro - This is a custom version of the TTM Squeeze indicator.
It's designed to help traders spot consolidation phases in the market (when price is coiling or "squeezing") and to catch breakouts early when volatility returns. The logic is based on the relationship between Bollinger Bands and Keltner Channels, combined with a momentum oscillator to show direction and strength.
Rolling ATR Bands - This indicator combines volatility bands (ATR) with momentum and trend signals to show where the market might be breaking out, retesting, or trending. It's highly visual and helpful for traders looking to time entries/exits during trending or volatile moves.
Logic Of the Strategy:
We are going to use the Bollinger Bands Breakout to determine the direction of the market. Than check the Volatility of the price by looking at the TTM Squeeze indicator. And use the ATR Bands to determine dynamic Stop Losses and based on the calculate the Take Profit targets and quantity for each position dynamically.
For the Long Setup:
1. We need to see the that Bull Power (Green line of the Bollinger Bands Breakout Oscilator) is crossing the level of 50.
2. Check the presence of volatility (Green dot based on the TTM Squeeze indicator)
For the Short Setup:
1. We need to see the that Bear Power (Red line of the Bollinger Bands Breakout Oscilator) is crossing the level of 50.
2. Check the presence of volatility (Green dot based on the TTM Squeeze indicator)
Stop Loss is determined by the Lower ATR Band (for the Long entry) and Upper ATR Band (For the Short entry)
Take Profit is 1:1.5 risk reward ration, which means if the Stop loss is 1% the TP target will be 1.5%
Move stop Loss to Breakeven: If the price will go in the direction of the trade for at least half of the Risk Reward target then the stop will automatically be adjusted to the entry price. For Example: the Stop Loss is 1%, the price has move at least 0.5% in the direction of your trade and that will move the Stop Loss level to the Entry point.
You can Adjust the parameters for each indicator used in that script and also adjust the Risk and Money management block to see how the PnL will change.
Deadzone Pro @DaviddTechDeadzone Pro by @DaviddTech – Adaptive Multi-Strategy NNFX Trading System
Deadzone Pro by @DaviddTech is a meticulously engineered trading indicator that strictly adheres to the No-Nonsense Forex (NNFX) methodology. It integrates adaptive trend detection, dual confirmation indicators, advanced volatility filtering, and dynamic risk management into one powerful, visually intuitive system. Ideal for traders seeking precision and clarity, this indicator consistently delivers high-probability trade setups across all market conditions.
🔥 Key Features:
The Setup:
Adaptive Hull Moving Average Baseline: Clearly identifies trend direction using an advanced, gradient-colored Hull MA that intensifies based on trend strength, providing immediate visual clarity.
Dual Confirmation Indicators: Combines Waddah Attar Explosion (momentum detector) and Bull/Bear Power (strength gauge) for robust validation, significantly reducing false entries.
Volatility Filter (ADX): Ensures entries are only made during strong trending markets, filtering out weak, range-bound scenarios for enhanced trade accuracy.
Dynamic Trailing Stop Loss: Implements a SuperTrend-based trailing stop using adaptive ATR calculations, managing risk effectively while optimizing exits.
Dashboard:
💎 Gradient Visualization & User Interface:
Dynamic gradient colors enhance readability, clearly indicating bullish/bearish strength.
Comprehensive dashboard summarizes component statuses, real-time market sentiment, and entry conditions at a glance.
Distinct and clear buy/sell entry and exit signals, with adaptive stop-loss levels visually plotted.
Candlestick coloring based on momentum signals (Waddah Attar) for intuitive market reading.
📈 How to Interpret Signals:
Bullish Signal: Enter when Hull MA baseline trends upward, both confirmation indicators align bullish, ADX indicates strong trend (>25), and price breaks above the previous trailing stop.
Bearish Signal: Enter short or exit long when Hull MA baseline trends downward, confirmations indicate bearish momentum, ADX confirms trend strength, and price breaks below previous trailing stop.
📊 Recommended Usage:
Timeframes: Ideal on 1H, 4H, and Daily charts for swing trading; effective on shorter (5M, 15M) charts for day trading.
Markets: Compatible with Forex, Crypto, Indices, Stocks, and Commodities.
The Entry & Exit:
🎯 Trading Styles:
Choose from three distinct trading modes:
Conservative: Requires full alignment of all indicators for maximum accuracy.
Balanced (Default): Optimized balance between signal frequency and reliability.
Aggressive: Fewer confirmations needed for more frequent trading signals.
📝 Credits & Originality:
Deadzone Pro incorporates advanced concepts inspired by:
Hull Moving Average by @Julien_Eche
Waddah Attar Explosion by @LazyBear
Bull Bear Power by @Pinecoders
ADX methodology by @BeikabuOyaji
This system has been significantly refactored and enhanced by @DaviddTech to maximize synergy, clarity, and usability, standing apart distinctly from its original components.
Deadzone Pro exemplifies precision and discipline, aligning fully with NNFX principles to provide traders with a comprehensive yet intuitive trading advantage.
False Breakout PRO📌 False Breakout PRO – Enhanced False Breakout Detection Tool
False Breakout PRO is an advanced version of the original "False Breakout (Expo)" indicator by .
This tool is designed to help traders detect bullish and bearish false breakouts with high precision. By offering a more customizable and smarter interface, it helps reduce noise and false signals through various filtering and visualization options.
🔍 How It Works
The script continuously scans for new highs or lows based on a user-defined period.
It identifies false breakouts when price briefly breaks out of a recent high/low but then quickly reverses. These are often seen as market traps, and this indicator aims to highlight them early.
✅ Key Features in the PRO Version
📌 Toggle to display all signals or only the most recent one
💬 Price labels with clean text and optional visibility
📊 Smart summary table for instant signal reference
📈 Auto-extended lines that follow price action
⚡ Lightweight and optimized for speed and real-time responsiveness
🛠 Configurable Settings
False breakout detection period
Signal validity window (how long a signal is considered active)
Smoothing types: Raw (💎), WMA, or HMA
Aggressive mode for early signal generation
Enable or disable:
Price labels
Summary table
Only latest signal mode
⚠️ License Notice
This script is derived from @Zeiierman’s original work and is published under the Creative Commons BY-NC-SA 4.0 license.
🔒 Commercial use is NOT allowed. Attribution to the original author is required.
🇸🇦 False Breakout PRO – أداة متقدمة لكشف الكسر الكاذب
False Breakout PRO هو إصدار مطور من السكريبت الأصلي "False Breakout (Expo)" من تطوير ، وتم تحسينه لتقديم تجربة استخدام أكثر احترافية ومرونة للمستخدمين للكشف عن الكسر الكاذب
🔍 آلية العمل
يقوم السكريبت بمراقبة القمم والقيعان الجديدة بناءً على فترة يتم تحديدها من قبل المستخدم.
ثم يحدد الكسر الكاذب عندما يكسر السعر مستوى مرتفعًا أو منخفضًا ثم يعود بسرعة. هذه الحركة غالبًا ما تكون خداعًا للمضاربين، ويقوم المؤشر بكشفها مبكرًا.
✅ أهم ميزات النسخة PRO
📌 التبديل بين عرض جميع الإشارات أو أحدث إشارة فقط
💬 عرض سعر الإشارة بنص نظيف واختياري
📊 جدول ملخص ذكي لعرض آخر الإشارات بسرعة
📈 تمديد تلقائي للخطوط لمتابعة حركة السعر
⚡ واجهة خفيفة وسريعة ومناسبة للعرض اللحظي
🛠 الإعدادات القابلة للتعديل
فترة تحديد الكسر الكاذب
مدة صلاحية الإشارة
أنواع الفلترة: 💎 خام، WMA، أو HMA
وضع الكشف العدواني (Aggressive)
خيارات العرض:
إظهار أو إخفاء السعر
إظهار أو إخفاء الجدول
عرض آخر إشارة فقط
⚠️ رخصة الاستخدام
تم تطوير هذا السكريبت بالاعتماد على السكريبت الأصلي من @Zeiierman
وهو مرخص بموجب Creative Commons BY-NC-SA 4.0
🔒 الاستخدام التجاري غير مسموح. ويجب نسب الفضل للمطور الأصلي.
Pullback Entry Zone FinderPullback Entry Zone Finder
Overview:
This indicator is designed to help traders identify potential buying opportunities during short-term pullbacks, particularly when faster-moving averages show signs of converging back towards slower ones. It visually flags potential zones where price might find support and resume its upward movement, based on moving average dynamics and price proximity.
How It Works:
The indicator utilizes four customizable moving averages (Trigger, Short-term, Intermediate, and Long-term) and Average True Range (ATR) to pinpoint specific conditions:
Pullback Detection: It identifies when the fast 'Trigger MA' is below the 'Short-term MA', indicating a potential short-term pullback or consolidation phase.
MA Convergence: Crucially, it looks for signs that the pullback might be weakening by detecting when the gap between the Short-term MA and the Trigger MA is narrowing (maConverging). This suggests the faster average is starting to catch up, potentially preceding a move back up.
Base Buy Zone (Orange Diamond): This signal appears when both the Pullback and Convergence conditions are met simultaneously. It indicates the general area where conditions are becoming favourable for a potential entry.
Refined Entry Zones:
Prime Entry Zone (Green Diamond): This appears within a Base Buy Zone if the bar's low comes within a specified percentage (Max Distance %) of the Short-term MA. It suggests price has pulled back close to the dynamic support of the Short MA.
ATR Entry Zone (Purple Diamond): This appears within a Base Buy Zone if the bar's low comes within the specified percentage (Max Distance %) of an ATR-based target level. This target level (Buy ATR Target Level, plotted as a purple line when active) is calculated by adding a multiple (ATR Multiplier %) of the ATR to the Short-term MA, providing a volatility-adjusted potential entry area.
Visual Elements:
Moving Averages: Four lines representing the Trigger, Short-term, Intermediate, and Long-term MAs (colors and opacity are customizable). Use the Intermediate and Long-term MAs to gauge the broader market trend.
Orange Diamond (Below Bar): Indicates a 'Base Buy Zone' where a pullback and MA convergence are detected.
Green Diamond (Below Bar): Indicates a 'Prime Entry Zone' where price is close to the Short-term MA during a Base Buy Zone.
Purple Diamond (Below Bar): Indicates an 'ATR Entry Zone' where price is close to the ATR-based target level during a Base Buy Zone.
Purple Line: Plots the calculated 'Buy ATR Target Level' only when the Base Buy Zone condition is active.
Input Parameters:
Moving Averages: Customize the Length and Type (EMA, SMA, WMA, VWMA) for all four moving averages.
ATR Settings: Adjust the ATR Length, the ATR Multiplier % (for calculating the target level), and the Max Distance % (for triggering the Prime and ATR Entry Zones).
Visualization: Set the colors for the four Moving Average lines.
How to Use:
Look for the Orange Diamond as the initial signal that pullback/convergence conditions are met.
The Green and Purple Diamonds suggest price has reached potentially more optimal entry levels within that zone, based on proximity to the Short MA or the ATR target, respectively.
Always consider the signals within the context of the broader trend, indicated by the Intermediate and Long-term MAs. This indicator is generally more effective when used to find entries during pullbacks within an established uptrend (e.g., Intermediate MA > Long MA).
Combine these signals with other forms of analysis, such as chart patterns, support/resistance levels, volume analysis, or other indicators for confirmation.
Disclaimer:
You should always use proper risk management techniques and conduct your own analysis before making any trading decisions. This indicator, or any other, will be of no use if you don't have good risk management.
Bull Bear Pivot by RawstocksThe "Bull Bear Pivot" indicator is a custom Pine Script (v5) tool designed for TradingView to assist traders in identifying key price levels and pivot points on intraday charts (up to 1-hour timeframes). It combines time-based open price markers, pivot high/low detection, and candlestick visualization to provide a comprehensive view of potential support, resistance, and trend reversal levels. Below is a detailed description of the indicator’s functionality, features, and intended use.
Indicator Overview:
The "Bull Bear Pivot" indicator is tailored for intraday trading, focusing on specific times of the day to mark significant price levels (open prices) and detect pivot points. It plots horizontal lines at the open prices of user-defined sessions, identifies pivot highs and lows on the current chart timeframe, and overlays custom candlesticks to highlight price action. The indicator is designed to work on timeframes of 1 hour or less (e.g., 1-minute, 3-minute, 5-minute, 15-minute, 30-minute, 60-minute) and includes a warning mechanism for invalid timeframes.
Key Features:
Time-Based Open Price Markers:
The indicator allows users to define up to five time-based sessions (e.g., 4:00 AM, 8:30 AM, 9:30 AM, 10:00 AM, and a custom time) to capture the open price at the start of each session.
For each session, it plots a horizontal line at the 1-minute open price, extending from the session start to the market close at 4:00 PM EST.
Each line is accompanied by a label positioned 5 bars to the right of the market close (4:00 PM EST), with the text right-aligned and vertically centered on the line.
Users can enable/disable each marker, customize the session time, label text, line color, and text color via the indicator’s settings.
Pivot Highs and Lows:
The indicator calculates pivot highs and lows on the current chart timeframe using the ta.pivothigh and ta.pivotlow functions.
Pivot highs are marked with green triangles above the bars, and pivot lows are marked with red triangles below the bars.
The pivot period (lookback/lookforward) is user-configurable, allowing flexibility in detecting short-term or longer-term reversals.
Custom Candlesticks:
The indicator overlays custom candlesticks on the chart, colored green for bullish candles (close > open) and red for bearish candles (close < open).
This feature helps visualize price action alongside the open price markers and pivot points.
Timeframe Restriction:
The indicator is designed to work on timeframes of 1 hour or less. If the chart timeframe exceeds 1 hour (e.g., 4-hour, daily), a warning label ("Timeframe > 1H Indicator Disabled") is displayed, and no elements are plotted.
Customizable Appearance:
Users can customize the appearance of the open price marker lines, including the line style (solid, dashed, dotted) and line width.
Labels for the open price markers have no background (transparent) and use customizable text colors.
Fibonacci Levels with SMA SignalsThis strategy leverages Fibonacci retracement levels along with the 100-period and 200-period Simple Moving Averages (SMAs) to generate robust entry and exit signals for long-term swing trades, particularly on the daily timeframe. The combination of Fibonacci levels and SMAs provides a powerful way to capitalize on major trend reversals and market retracements, especially in stocks and major crypto assets.
The core of this strategy involves calculating key Fibonacci retracement levels (23.6%, 38.2%, 61.8%, and 78.6%) based on the highest high and lowest low over a 365-day lookback period. These Fibonacci levels act as potential support and resistance zones, indicating areas where price may retrace before continuing its trend. The 100-period SMA and 200-period SMA are used to define the broader market trend, with the strategy favoring uptrend conditions for buying and downtrend conditions for selling.
This indicator highlights high-probability zones for long or short swing setups based on Fibonacci retracements and the broader trend, using the 100 and 200 SMAs.
In addition, this strategy integrates alert conditions to notify the trader when these key conditions are met, providing real-time notifications for optimal entry and exit points. These alerts ensure that the trader does not miss significant trade opportunities.
Key Features:
Fibonacci Retracement Levels: The Fibonacci levels provide natural price zones that traders often watch for potential reversals, making them highly relevant in the context of swing trading.
100 and 200 SMAs: These moving averages help define the overall market trend, ensuring that the strategy operates in line with broader price action.
Buy and Sell Signals: The strategy generates buy signals when the price is above the 200 SMA and retraces to the 61.8% Fibonacci level. Sell signals are triggered when the price is below the 200 SMA and retraces to the 38.2% Fibonacci level.
Alert Conditions: The alert conditions notify traders when the price is at the key Fibonacci levels in the context of an uptrend or downtrend, allowing for efficient monitoring of trade opportunities.
Application:
This strategy is ideal for long-term swing trades in both stocks and major cryptocurrencies (such as BTC and ETH), particularly on the daily timeframe. The daily timeframe allows for capturing broader, more sustained trends, making it suitable for identifying high-quality entries and exits. By using the 100 and 200 SMAs, the strategy filters out noise and focuses on larger, more meaningful trends, which is especially useful for longer-term positions.
This script is optimized for swing traders looking to capitalize on retracements and trends in markets like stocks and crypto. By combining Fibonacci levels with SMAs, the strategy ensures that traders are not only entering at optimal levels but also trading in the direction of the prevailing trend.
Adaptable Relative Momentum Index [ParadoxAlgo]The Adaptable Relative Momentum Index (RMI) by ParadoxAlgo is an advanced momentum-based indicator that builds upon the well-known RSI (Relative Strength Index) concept by introducing a customizable momentum length. This indicator measures price momentum over a specified number of periods and applies a Rolling Moving Average (RMA) to both the positive and negative price changes. The result is a versatile tool that can help traders gauge the strength of a trend, pinpoint overbought/oversold levels, and potentially identify breakout opportunities.
⸻
Smart Configuration Feature
What sets this version of the RMI apart is ParadoxAlgo’s exclusive “Smart Configuration” functionality. Instead of manually adjusting parameters, traders can simply select their Asset Class (e.g., Stocks, Forex, Futures/Indices, Crypto, Commodities) and Trading Style (e.g., Scalping, Day Trading, Swing Trading, Short-Term Investing, Long-Term Investing). Based on these selections, the indicator automatically optimizes its core parameters:
• Length – The period over which the price changes are smoothed.
• Momentum Length – The number of bars used to calculate the price change.
By automating this process, users save time on tedious trial-and-error adjustments, ensuring that the RMI’s settings are tailored to the characteristics of specific markets and personal trading horizons.
⸻
Key Features & Benefits
1. Momentum-Based Insights
• Uses RMA to smooth price movements, helping identify shifts in market momentum more clearly than a basic RSI.
• Enhanced adaptability for a wide range of asset classes and time horizons.
2. Simple Yet Powerful Configuration
• Smart Configuration automatically sets optimal parameter values for each combination of asset class and trading style.
• Eliminates guesswork and manual recalibration when switching between markets or timeframes.
3. Overbought & Oversold Visualization
• Integrated highlight zones mark potential overbought and oversold extremes (default at 80 and 20).
• Optional breakout highlighting draws attention to times when the indicator crosses these key thresholds, helping spot possible entry or exit signals.
4. Intuitive Design & Ease of Use
• Clean plotting and color-coded signal lines make it easy to interpret bullish or bearish shifts in momentum.
• Straightforward dropdown menus keep the interface user-friendly, even for novice traders.
⸻
Practical Applications
• Early Trend Detection: Spot emerging trends when the RMI transitions from oversold to higher levels or vice versa.
• Breakout Confirmation: Confirm potential breakout trades by tracking overbought/oversold breakouts alongside other technical signals.
• Support/Resistance Confluence: Combine RMI signals with horizontal support/resistance levels to reinforce trade decisions.
• Trade Timing: Quickly gauge when momentum could be shifting, helping you time entries and exits more effectively.
⸻
Disclaimer
As with any technical indicator, the Adaptable Relative Momentum Index should be used as part of a broader trading strategy that includes risk management, fundamental analysis, and other forms of technical confirmation. Past performance does not guarantee future results.
⸻
Enjoy using the Adaptable RMI and experience a more streamlined, flexible approach to momentum analysis. Feel free to explore different asset classes and trading styles to discover which configurations resonate best with your unique trading preferences.
RSI Support & Resistance Breakouts with OrderblocksThis tool is an overly simplified method of finding market squeeze and breakout completely based on a dynamic RSI calculation. It is designed to draw out areas of price levels where the market is pushing back against price action leaving behind instances of short term support and resistance levels you otherwise wouldn't see with the common RSI.
It uses the changes in market momentum to determine support and resistance levels in real time while offering price zone where order blocks exist in the short term.
In ranging markets we need to know a couple things.
1. External Zone - It's important to know where the highs and lows were left behind as they hold liquidity. Here you will have later price swings and more false breakouts.
2. Internal Zone - It's important to know where the highest and lowest closing values were so we can see the limitations of that squeeze. Here you will find the stronger cluster of orders often seen as orderblocks.
In this tool I've added a 200 period Smoothed Moving Average as a trend filter which causes the RSI calculation to change dynamically.
Regular Zones - without extending
The Zones draw out automatically but are often too small to work with.
To solve this problem, you can extend the zones into the future up to 40 bars.
This allows for more visibility against future price action.
--------------------------------------------
Two Types of Zones
External Zones - These zones give you positioning of the highest and lowest price traded within the ranging market. This is where liquidity will be swept and often is an ultimate breaking point for new price swings.
How to use them :
External Zones - External zones form at the top of a pullback. After this price should move back into its impulsive wave.
During the next corrective way, if price breaches the top of the previous External Zone, this is a sign of trend weakness. Expect a divergence and trend reversal.
Internal Zones - (OrderBlocks) Current price will move in relation to previous internal zones. The internal zone is where a majority of price action and trading took place. It's a stronger SQUEEZE area. Current price action will often have a hard time closing beyond the previous Internal Zones high or low. You can expect these zones to show you where the market will flip over. In these same internal zones you'll find large rejection candles.
**Important Note** Size Doesn't Matter
The size of the internal zone does not matter. It can be very small and still very powerful.
Once an internal zone has been hit a few times, its often not relevant any longer.
Order Block Zone Examples
In this image you can see the Internal Zone that was untouched had a STRONG price reaction later on.
Internal Zones that were touched multiple times had weak reactions later as price respected them less over time.
Zone Overlay Breakdown
The Zones form and update in real time until momentum has picked up and price begins to trend. However it leaves behind the elements of the inducement area and all the key levels you need to know about for future price action.
Resistance Fakeout : Later on after the zone has formed, price will return to this upper zone of price levels and cause fakeouts. A close above this zone implies the market moves long again.
Midline Equilibrium : This is simply the center of the strongest traded area. We can call this the Point of Control within the orderblock. If price expands through both extremes of this zone multiple times in the future, it eliminates the orderblock.
Support Fakeout : Just like its opposing brother, price will wick through this zone and rip back causing inducement to trap traders. You would need a clear close below this zone to be in a bearish trend.
BARCOLOR or Candle Color: (Optional)
Bars are colored under three conditions
Bullish Color = A confirmed bullish breakout of the range.
Bearish Color = A confirmed bearish breakout of the range.
Squeeze Color = Even if no box is formed a candle or candles can have a squeeze color. This means the ranging market happened within the high and low of that singular candle.
(US) Historical Trade WarsHistorical U.S. Trade Wars Indicator
Overview
This indicator visualizes major U.S. trade wars and disputes throughout modern economic history, from the McKinley Tariff of 1890 to recent U.S.-China tensions. This U.S.-focused timeline is perfect for macro traders, economic historians, and anyone looking to understand how America's trade conflicts correlate with market movements.
Features
Comprehensive U.S. Timeline: Covers 130+ years of U.S.-centered trade disputes with historically accurate dates.
Color-Coded Events:
🔴 Red: Marks the beginning of a U.S. trade war or major dispute.
🟡 Yellow: Highlights significant events within a trade conflict.
🟢 Green: Shows resolutions or ends of trade disputes.
Global Partners/Rivals: Tracks U.S. trade relations with China, Japan, EU, Canada, Mexico, Brazil, Argentina, and others.
Country Flags: Uses emoji flags for easy visual identification of nations in trade relations with the U.S.
Major Trade Wars Covered:
McKinley Tariff (1890-1894)
Smoot-Hawley Tariff Act (1930-1934)
U.S.-Europe Chicken War (1962-1974)
Multifiber Arrangement Quotas (1974-2005)
Japan-U.S. Trade Disputes (1981-1989)
NAFTA and Softwood Lumber Disputes
Clinton and Bush-Era Steel Tariffs
Obama-Era China Tire Tariffs
Rare Earth Minerals Dispute (2012-2014)
Solar Panel Dispute (2012-2015)
TPP and TTIP Negotiations
U.S.-China Trade War (2018-present)
Airbus-Boeing Dispute
Usage
Analyze how markets historically responded to trade war initiations and resolutions.
Identify patterns in market behavior during periods of trade tensions.
Use as an overlay with price action to examine correlations.
Perfect companion for macro analysis on daily, weekly, or monthly charts.
About
This indicator is designed as a historical reference tool for traders and economic analysts focusing on U.S. trade policy and its global impact. The dates and events have been thoroughly researched for accuracy. Each label includes emojis to indicate the U.S. and its trade partners/rivals, making it easy to track America's evolving trade relationships across time.
Note: This indicator works best on larger timeframes (daily, weekly, monthly) due to the historical span covered.
EMA Distance OscillatorI was inspired to make this because I rely on ema trading in my SPY day trading strategy.
## 📈 **EMA Distance Oscillator**
**Author:** *Your Name or Alias*
**Category:** Trend Strength / Momentum
**Timeframes:** Optimized for 1–5min, works on all
---
### 🔍 **What It Does**
The **EMA Distance Oscillator** is a dual-purpose tool that helps visualize **momentum shifts**, **trend strength**, and **EMA divergence/convergence** in real time.
It plots two separate signals:
#### 1. 🟩 Histogram Bars
A zero-centered histogram that shows the **difference between two EMAs** (default: EMA 48 and EMA 200).
- Color-coded based on:
- Whether the EMA spread is **above or below zero**
- Whether the spread is **increasing or decreasing**
- Helps visualize **trend acceleration** or **loss of momentum**
#### 2. 📉 Delta Line
A smooth line showing the **difference between a second EMA pair** (default: EMA 13 and EMA 48).
- Color-coded:
- **White** when rising (spread widening)
- **Gray** when falling (spread tightening)
---
### ⚙️ **Customizable Inputs**
You have full control over:
- EMA lengths for **both histogram and line**
- Smoothing for each plot
- Colors for each bar state and line condition
- Momentum thresholds (±1 by default, adjustable)
---
### 🧠 **How to Use It**
- Use the **bar histogram** to quickly spot moments when short-term and long-term EMAs are diverging or converging
- Use the **delta line** to track smoother shifts in short-term momentum
- Look for:
- Expanding green bars = uptrend gaining strength
- Shrinking bars = potential reversals or cooldowns
- Line crossing zero = EMA crossover (fast vs slow)
- **Threshold lines** at +1 / -1 help mark **high-momentum zones** (fully customizable)
---
### 🧭 **Pro Tips**
- Try with EMA 13/48 for the line and EMA 48/200 for the histogram on 1–5min charts
- Add alerts (optional) for when:
- Histogram changes color (momentum flip)
- Line crosses zero
- Threshold levels are breached
---
Let me know if you want me to help prep alert conditions or auto-generate different versions (e.g., strategy version, simplified mode, mobile-friendly layout, etc).
Multi-Timeframe ATR MonitorThis indicator displays a table of ATR values across multiple user-defined timeframes (1m, 3m, 5m, 15m, 60m, daily by default) and tracks the session range since 18:00. Customize the timeframes and ATR length via inputs.
Timed Reversion Markers (Custom Session Alerts)This script plots vertical histogram markers at specific intraday time points defined by the user. It is designed for traders who follow time-based reversion or breakout setups tied to predictable market behavior at key clock times, such as institutional opening moves, midday reversals, or end-of-day volatility.
Unlike traditional price-action indicators, this tool focuses purely on time-based triggers, a technique often used in time cycle analysis, market internals, and volume-timing strategies.
The indicator includes eight fully customizable time inputs, allowing users to mark any intraday minute with precision using a decimal hour format (for example, 9.55 for 9:55 AM). Each input is automatically converted into hour and minute format, and a visual histogram marker is plotted once per day at that exact time.
Example use cases:
Mark institutional session opens (e.g., 9:30, 10:00, 15:30)
Time-based mean reversion or volatility windows
Backtest recurring time-based reactions
Highlight algorithmic spike zones
The vertical plots serve as non-intrusive, high-contrast visual markers for scalping setups, session analysis, and decision-making checkpoints. All markers are displayed at the top of the chart without interfering with price candles.
CME Price Limits (Futures Prop Firm Rule)This indicator shows the CME Price Limit, combined with a safety distance that is used by several futures prop firms. Trading in the highlighted area means a rule violation for many Futures prop firm accounts.
The levels are calculated from the "Settlement as close" closing price of the previous daily candle.
JPMorgan Collar LevelsThis indicator visualizes the current JPMorgan Hedging Collar strategy commonly used by institutional funds like JHEQX. It plots three key levels:
– Short Call strike (upper bound)
– Long Put strike (protection level)
– Short Put strike (cost reduction)
The area between the long put and short call is shaded to represent the active hedging zone. This setup is updated quarterly and can influence SPX market behavior near expiration dates.
Inputs are customizable to reflect the latest collar configuration. Useful for traders tracking institutional hedging flows or analyzing market structure near key option expirations.
[SM-042] EMA 5-8-13 with ADX FilterWhat is the strategy?
The strategy combines three exponential moving averages (EMAs) — 5, 8, and 13 periods — with an optional ADX (Average Directional Index) filter. It is designed to enter long or short positions based on EMA crossovers and to exit positions when the price crosses a specific EMA. The ADX filter, if enabled, adds a condition that only allows trades when the ADX value is above a certain threshold, indicating trend strength.
Who is it for?
This strategy is for traders leveraging EMAs and trend strength indicators to make trade decisions. It can be used by anyone looking for a simple trend-following strategy, with the flexibility to adjust for trend strength using the ADX filter.
When is it used?
- **Long trades**: When the 5-period EMA crosses above the 8-period EMA, with an optional ADX condition (if enabled) that requires the ADX value to be above a specified threshold.
- **Short trades**: When the 5-period EMA crosses below the 8-period EMA, with the ADX filter again optional.
- **Exits**: The strategy exits a long position when the price falls below the 13-period EMA and exits a short position when the price rises above the 13-period EMA.
Where is it applied?
This strategy is applied on a chart with any asset on TradingView, with the EMAs and ADX plotted for visual reference. The strategy uses `strategy.entry` to open positions and `strategy.close` to close them based on the set conditions.
Why is it useful?
This strategy helps traders identify trending conditions and filter out potential false signals by using both EMAs (to capture short-term price movements) and the ADX (to confirm the strength of the trend). The ADX filter can be turned off if not desired, making the strategy flexible for both trending and range-bound markets.
How does it work?
- **EMA Crossover**: The strategy enters a long position when the 5-period EMA crosses above the 8-period EMA, and enters a short position when the 5-period EMA crosses below the 8-period EMA.
- **ADX Filter**: If enabled, the strategy checks whether the ADX value is above a set threshold (default is 20) before allowing a trade.
- **Exit Conditions**: Long positions are closed when the price falls below the 13-period EMA, and short positions are closed when the price rises above the 13-period EMA.
- **Plotting**: The strategy plots the three EMAs and the ADX value on the chart for visualization. It also displays a horizontal line at the ADX threshold.
This setup allows for clear decision-making based on the interaction between different time-frame EMAs and trend strength as indicated by ADX.
Multi-Timeframe Price LevelsThis indicator displays key price levels from multiple timeframes on your chart, helping you identify important support and resistance zones.
## Features
- **Multiple Timeframes**: View price levels from 4H, Daily, 3-Day, Weekly, and Monthly charts simultaneously
- **Customizable Price Types**: Choose to display Open, Close, High, and Low prices
- **Color-Coded**: Each timeframe has its own color for easy identification
- **Fully Customizable**: Enable/disable specific timeframes and price types as needed
## How to Use
1. Add the indicator to your chart
2. Use the input options to select which timeframes and price types you want to display
3. Look for areas where multiple price levels converge - these often act as strong support/resistance zones
## Color Guide
- **Red**: 4-Hour timeframe
- **Blue**: Daily timeframe
- **Green**: 3-Day timeframe
- **Purple**: Weekly timeframe
- **Orange**: Monthly timeframe
For each timeframe, the transparency varies by price type:
- Open: 70% transparency
- Close: 50% transparency
- High: 30% transparency
- Low: 10% transparency (most visible)
## Trading Applications
- Identify key support and resistance levels
- Spot multi-timeframe confluences for stronger trade setups
- Plan entries and exits based on historical price reactions
- Set stop losses and take profit targets at significant levels
This indicator works best when combined with your existing trading strategy to confirm important price zones.
Previous Candle Range Split into ThirdsThis script plots two horizontal lines over the previous candle to divide its total range (high to low) into three equal parts. The first line marks 33% of the range from the low, and the second marks 66%. This helps users visually identify whether the previous candle closed in the lower, middle, or upper third of its range, providing context on potential buyer or seller dominance during that session.
Users can customize the color, width, and style (solid, dotted, dashed) of each line, as well as toggle their visibility from the script's input settings.
This indicator is designed as a discretionary analysis tool and does not generate buy or sell signals.
RSI-Volume Momentum Signal ScoreRSI-Volume Momentum Signal Score
Description
The RSI-Volume Momentum Signal Score is a predictive technical indicator designed to identify bullish and bearish momentum shifts by combining volume-based momentum with the Relative Strength Index (RSI). It generates a Signal Score derived from:
• The divergence between short-term and long-term volume (Volume Oscillator), and
• RSI positioning relative to a user-defined threshold.
This hybrid approach helps traders detect early signs of price movement based on volume surges and overbought/oversold conditions.
The Signal Score is computed as follows:
Signal Score = Volume Momentum x RSI Divergence Factor
Volume Momentum = tanh ((Volume Oscillator value (vo) – Volume Threshold)/Scaling Factor)
RSI Divergence Factor = ((RSI Threshold – RSI Period)/Scaling Factor)
Or,
Signal Score = tanh((vo - voThreshold) / scalingFactor) * ((rsiThreshold - rsi) / scalingFactor)
The logic of this formula are as follows:
• If Volume Oscillator >= Volume Threshold and RSI <= RSI Threshold: Bullish Signal (+1 x Scaling Factor)
• If Volume Oscillator >= Volume Threshold and RSI >= (100 – RSI Threshold): Bearish Signal (-1 x Scaling Factor)
• Otherwise: Neutral (0)
The tanh function provides the normalization process. It ensures that the final signal score is bounded between -1 and 1, increases sensitivity to early changes in volume patterns based on RSI conditions, and prevent sudden jumps in signals ensuring smooth and continuous signal line.
Input Fields
The input fields allow users to customize the behavior of the indicator based on their trading strategy:
Short-Term Volume MA
- Default: `2`
- Description: The period for the short-term moving average of volume.
- Purpose: Captures short-term volume trends.
Long-Term Volume MA)
- Default: `10`
- Description: The period for the long-term moving average of volume.
- Purpose: Captures long-term volume trends for comparison with the short-term trend.
RSI Period)
- Default: `3`
- Description: The period for calculating the RSI.
- Purpose: Measures the relative strength of price movements over the specified period.
Volume Oscillator Threshold
- Default: `70`
- Description: The threshold for the Volume Oscillator to determine significant volume momentum.
- Purpose: Filters out weak volume signals.
RSI Threshold
- Default: `25`
- Description: The RSI level used to identify overbought or oversold conditions.
- Purpose: Helps detect potential reversals in price momentum.
Signal Scaling Factor
- Default: `10`
- Description: A multiplier for the signal score.
- Purpose: Adjusts the magnitude of the signal score for better visualization.
How To Use It for Trading:
Upcoming Bullish Signal: Signal line turns from Gray to Green or from Green to Gray
Upcoming Bearish Signal: Signal line turns from Gray to Red or from Red to Gray
Note: The price that corresponds to the transition of Signal line from Gray to Green or Red and vise versa is the signal price for upcoming bullish or bearish signal.
The signal score dynamically adjusts based on volume and RSI thresholds, making it adaptable to various market conditions, and this is what makes the indicator unique from other traditional indicators.
Unique Features
Unlike traditional indicators, this indicator combines two different dimensions—volume trends and RSI divergence—for more comprehensive signal generation. The use of tanh() to scale and smooth the signal is a mathematically elegant way to manage signal noise and highlight genuine trends. Traders can tune the scaling factor and thresholds to adapt the indicator for scalping, swing trading, or longer-term investing.
Custom Daily % Levels Table📘 Indicator Description
"Custom Daily % Levels – table" is a dynamic and customizable tool designed to help traders visualize daily percentage-based price ranges and key metrics in a compact, table-style format.
🧩 Key Features:
📐 Custom Percent Levels: Automatically calculates upper and lower price levels based on a user-defined base percentage and number of levels, relative to the previous daily close.
🟢🔴 Color Gradient Highlighting: Positive levels are shown with a green gradient, negative levels with red, and the level labels with a neutral tone for easy reference.
📊 Live Asset Info: Displays the current symbol, percentage change from the previous daily close, and 14-period RSI, all color-coded for quick interpretation.
⚙️ Header Control: Toggle the visibility of the main info headers and level headers independently.
📌 Position Customization: Choose where the table appears on your chart (top/bottom, left/right, center).
📈 Clean Layout: Makes it easy to visually track price movement relative to daily expected ranges.
This indicator is especially useful for intraday traders, scalpers, or anyone needing a clear visual of short-term price expansion and contraction based on predefined volatility zones.
10K's RTH open ±0.35% for CMEInstant Visualization of ±0.35% from RTH Open — Spot Intraday Reversals at a Glance!
This is a visual tool designed for the U.S. regular trading hours (RTH), which instantly highlights the ±0.35% range from the RTH opening price of futures at the start of the session.
The range is displayed as a light purple box, accompanied by a dashed line marking the exact opening price, helping traders quickly assess how price reacts around this key level.
With adjustable transparency settings, this tool is ideal for intraday analysis of price positioning and directional strength — a valuable aid for short-term trading strategies.
Transient Impact Model [ScorsoneEnterprises]This indicator is an implementation of the Transient Impact Model. This tool is designed to show the strength the current trades have on where price goes before they decay.
Here are links to more sophisticated research articles about Transient Impact Models than this post arxiv.org and arxiv.org
The way this tool is supposed to work in a simple way, is when impact is high price is sensitive to past volume, past trades being placed. When impact is low, it moves in a way that is more independent from past volume. In a more sophisticated system, perhaps transient impact should be calculated for each trade that is placed, not just the total volume of a past bar. I didn't do it to ensure parameters exist and aren’t na, as well as to have more iterations for optimization. Note that the value will change as volume does, as soon as a new candle occurs with no volume, the values could be dramatically different.
How it works
There are a few components to this script, so we’ll go into the equation and then the other functions used in this script.
// Transient Impact Model
transient_impact(params, price_change, lkb) =>
alpha = array.get(params, 0)
beta = array.get(params, 1)
lambda_ = array.get(params, 2)
instantaneous = alpha * volume
transient = 0.0
for t = 1 to lkb - 1
if na(volume )
break
transient := transient + beta * volume * math.exp(-lambda_ * t)
predicted_change = instantaneous + transient
math.pow(price_change - predicted_change, 2)
The parameters alpha, beta, and lambda all represent a different real thing.
Alpha (α):
Represents the instantaneous impact coefficient. It quantifies the immediate effect of the current volume on the price change. In the equation, instantaneous = alpha * volume , alpha scales the current bar's volume (volume ) to determine how much of the price change is due to immediate market impact. A larger alpha suggests that current volume has a stronger instantaneous influence on price.
Beta (β):
Represents the transient impact coefficient.It measures the lingering effect of past volumes on the current price change. In the loop calculating transient, beta * volume * math.exp(-lambda_ * t) shows that beta scales the volume from previous bars (volume ), contributing to a decaying effect over time. A higher beta indicates a stronger influence from past volumes, though this effect diminishes with time due to the exponential decay factor.
Lambda (λ):
Represents the decay rate of the transient impact.It controls how quickly the influence of past volumes fades over time in the transient component. In the term math.exp(-lambda_ * t), lambda determines the rate of exponential decay, where t is the time lag (in bars). A larger lambda means the impact of past volumes decays faster, while a smaller lambda implies a longer-lasting effect.
So in full.
The instantaneous term, alpha * volume , captures the immediate price impact from the current volume.
The transient term, sum of beta * volume * math.exp(-lambda_ * t) over the lookback period, models the cumulative, decaying effect of past volumes.
The total predicted_change combines these two components and is compared to the actual price change to compute an error term, math.pow(price_change - predicted_change, 2), which the script minimizes to optimize alpha, beta, and lambda.
Other parts of the script.
Objective function:
This is a wrapper function with a function to minimize so we get the best alpha, beta, and lambda values. In this case it is the Transient Impact Function, not something like a log-likelihood function, helps with efficiency for a high iteration count.
Finite Difference Gradient:
This function calculates the gradient of the objective function we spoke about. The gradient is like a directional derivative. Which is like the direction of the rate of change. Which is like the direction of the slope of a hill, we can go up or down a hill. It nudges around the parameter, and calculates the derivative of the parameter. The array of these nudged around parameters is what is returned after they are optimized.
Minimize:
This is the function that actually has the loop and calls the Finite Difference Gradient each time. Here is where the minimizing happens, how we go down the hill. If we are below a tolerance, we are at the bottom of the hill.
Applied
After an initial guess, we optimize the parameters and get the transient impact value. This number is huge, so we apply a log to it to make it more readable. From here we need some way to tell if the value is low or high. We shouldn’t use standard deviation because returns are not normally distributed, an IQR is similar and better for non normal data. We store past transient impact values in an array, so that way we can see the 25th and 90th percentiles of the data as a rolling value. If the current transient impact is above the 90th percentile, it is notably high. If below the 25th percentile, notably low. All of these values are plotted so we can use it as a tool.
Tool examples:
The idea around it is that when impact is low, there is room for big money to get size quickly and move prices around.
Here we see the price reacting in the IQR Bands. We see multiple examples where the value above the 90th percentile, the red line, corresponds to continuations in the trend, and below the 25th percentile, the purple line, corresponds to reversals. There is no guarantee these tools will be perfect, that is outlined in these situations, however there is clearly a correlation in this tool and trend.
This tool works on any timeframe, daily as we saw before, or lower like a two minute. The bands don’t represent a direction, like bullish or bearish, we need to determine that by interpreting price action. We see at open and at close there are the highest values for the transient impact. This is to be expected as these are the times with the highest volume of the trading day.
This works on futures as well as equities with the same context. Volume can be attributed to volatility as well. In volatile situations, more volatility comes in, and we can perceive it through the transient impact value.
Inputs
Users can enter the lookback value.
No tool is perfect, the transient impact value is also not perfect and should not be followed blindly. It is good to use any tool along with discretion and price action.
Daily OHLC from 8:00 UTCDisplays Daily Open, High, and Low price levels, resetting at 8:00 AM UTC each day. Ideal for intraday trading reference points.