Buy/Sell Signal via Trend Pullback Trend Pullback Micro-Entry Indicator (M1/M5/H1)
I am currently developing a TradingView indicator designed to identify trend pullbacks on very low timeframes (M1) and continuation on HTF.
The core idea is to trade continuations within an existing trend, focusing on controlled pullbacks instead of chasing breakouts or random price moves.
The indicator provides clear visual signals and is meant to support the trader’s decision-making process — not to replace experience, discretion, or discipline.
Strong Focus on Risk Management
Risk management is a central part of this indicator’s concept:
Every setup is based on a predefined stop-loss
Profits are managed step-by-step, not all at once
Take-profit levels adapt to current market volatility
No martingale, no grid trading, no position averaging
The goal is to limit losses while allowing profitable trades to develop naturally — however, losses are a normal part of trading and cannot be avoided entirely.
Important Risk Disclaimer
⚠️ Trading involves significant risk.
You can lose part or all of your trading capital.
This indicator:
does not guarantee profits
is not financial advice
is not an automated money-making system
It is a tool, not a promise.
All trading decisions and risks remain entirely the responsibility of the user.
Looking for Testers
I am currently looking for interested testers who:
Trade or study scalping / intraday strategies (M1–M5 preferred)
Are willing to test the indicator live or in replay
Can provide honest feedback on:
signal quality
risk management behavior
real-world usability
Constructive criticism is highly appreciated — especially when something does not work as expected.
Project Goal
The objective of this project is not to build an over-complicated system, but to create a:
clean
structured
realistic trading tool
that helps traders act more consistently, calmly, and disciplined in fast markets.
Final words of the author: Lets become rich and free together :)
Trend Analysis
MTF EMA Traffic Light System Trend Alignment for ScalpersMTF EMA Traffic Light – Trend Bias System
This indicator is designed to help traders quickly identify high-probability trend alignment using multiple timeframes and EMAs.
It analyzes price relative to the 13 EMA and 55 EMA on:
1 Minute
5 Minute
15 Minute
1 Hour
4 Hour
Then it converts that data into a simple Traffic Light system to guide trade decisions.
🚦 How It Works
Each timeframe is classified as:
🟢 BULL – Price above both EMAs
🔴 BEAR – Price below both EMAs
🟡 MIXED – No clear direction
The system focuses on lower-timeframe alignment:
When 1m + 5m + 15m are aligned → Strong setup
When mixed → Caution
When misaligned → Stand aside
🟢 GREEN State (Full Trade Mode)
Triggered when:
✔ 1m, 5m, and 15m are all BULL → Long Bias
✔ 1m, 5m, and 15m are all BEAR → Short Bias
Rules:
Full position size
Trade with trend
Look for EMA pullbacks
Let winners run
🟡 YELLOW State (Caution Mode)
Triggered when:
✔ Lower timeframes are mixed
Rules:
Reduce size
Take quick profits
No holding
Defensive trading
🔴 RED State (No Trade)
Triggered when:
✔ No clear alignment
Rules:
Stay out
Mark key levels
Protect capital
📋 Dashboard Panel
The indicator displays a real-time table showing:
Each timeframe’s bias
Overall market state
Trade rules
This allows you to read market structure in seconds without switching charts.
🎯 Best Use
This tool works best for:
✔ Scalping
✔ Intraday trading
✔ Trend continuation setups
✔ EMA pullback strategies
Recommended for:
Forex
Indices
Gold
Crypto
⚠️ Risk Disclaimer
This indicator is a decision-support tool, not a guarantee of profits.
Always use:
Proper risk management
Stop losses
Personal trade rules
Never risk more than you can afford to lose.
CEO Watchlist Momentum CloudThe CEO Watchlist Momentum Cloud is a trend-based momentum indicator designed to help traders stay on the right side of the market while avoiding low-quality chop.
It visually highlights trend direction, momentum strength, and potential pullback opportunities so you can make faster, more confident decisions without cluttering your chart.
This indicator is built to simplify trend trading and help you focus on high-probability setups instead of guessing tops and bottoms.
What This Indicator Helps You Do
• Identify bullish and bearish market conditions
• Stay aligned with trend direction
• Spot pullbacks within strong trends
• Avoid trading against momentum
• Improve timing on entries and exits
The Momentum Cloud is especially useful for traders who prefer clean charts and want a quick visual read of market strength.
How To Use It
Green Cloud
• Market is in a bullish phase
• Look for long opportunities
• Best used for buying pullbacks in uptrends
Red Cloud
• Market is in a bearish phase
• Look for short setups or risk-off conditions
• Helps avoid long entries during downtrends
Buy Signals
• Appear when price pulls back during an uptrend
• Designed to highlight continuation opportunities
Sell Signals
• Appear when momentum weakens or trend stalls
• Useful for managing exits or avoiding bad entries
This indicator works best when used alongside:
• Support and resistance
• Higher timeframe trend direction
• Volume or momentum confirmation
Disclaimer
This indicator is for educational and informational purposes only.
It does not provide financial advice or trade recommendations.
All trading involves risk. Always use proper risk management and confirm signals with your own analysis before entering any trade.
LTF FVG + IFVG ExtractorShort description
Minimalist tool that tracks low-timeframe Fair Value Gaps (FVGs) and their inversions (IFVGs).
It keeps all IFVGs on the chart and always highlights the nearest bullish FVG below price and the nearest bearish FVG above price.
What it does
Detects standard 3-bar LTF FVGs (same logic as ICT-style 3-candle gaps).
Tracks when an FVG is inverted (price closes through the opposite side of the gap) and creates a persistent IFVG zone.
Freezes the original FVG when it’s broken or expired, so the “parent” level stays visible for context.
Among all still-active LTF FVGs it:
Highlights the closest bearish FVG above current price.
Highlights the closest bullish FVG below current price.
All IFVGs and frozen FVGs stay on the chart (up to the configured limit) so you can study how price respects old liquidity gaps.
Key features
LTF timeframe override – use chart timeframe or specify a custom LTF (e.g. 1m on a 5m chart).
Lifetime model for FVGs – gap lifetime in bars is derived from timeframe (shorter on low TF, longer on high TF).
Inversion logic (IFVG)
Only inverts FVGs that are younger than Source LTF FVG Max Age.
IFVGs are drawn with fixed bar length (LTF Inverted FVG Length) and do not repaint.
Frozen parent FVGs
When a live FVG is broken or expires, it’s turned into a static “historical” zone and kept on the chart.
Load control
Max IFVG boxes kept to avoid hitting TradingView’s object limits.
Inputs (high level)
LTF Timeframe Override – leave blank to use chart, or set eg. 1 or 5.
Bullish / Bearish LTF Zone Color – colors for “live” LTF gaps.
LTF Inverted FVG Length (bars) – how long newly created IFVGs extend in bars.
LTF Inverted FVG Color – color for IFVGs.
Only Invert If Source Younger Than N Bars / Source LTF FVG Max Age – age filter for which FVGs are allowed to invert.
Max IFVG boxes kept – cap on how many IFVG boxes are stored and displayed.
How to use it
Put the script on your LTF chart or higher timeframe with an LTF override.
Use the highlighted bearish FVG above and bullish FVG below as the current closest “liquidity magnets”.
Use the IFVGs + frozen parent FVGs as historical context for where price previously left and reclaimed imbalances.
This script is designed as a clean FVG/IFVG layer that you can stack with your own OB, VWAP or session tools without clutter from anything else.
Gap Fill Probability & Statistics [ES/NQ]
🎯 What This Indicator Does
This indicator shows you the real probability of gap fill based on historical data analysis of 2,600+ ES and 2,700+ NQ trading days.
Unlike other gap indicators that just draw lines, this one tells you:
What's the chance this gap will fill today?
How long does it typically take?
How much risk (drawdown) to expect?
What happens after the gap fills?
All statistics are context-specific — calculated for your exact gap type (size + direction), not generic averages.
📊 Key Features
Real-Time Gap Tracking
Automatic gap detection at RTH open (9:30 AM ET)
Visual fill levels on chart (25%, 50%, 75%, 100%)
Live status updates as price moves
Historical Statistics Panel
Fill probability by time (10:30, Noon, Close)
Typical fill time in minutes
Sample size for statistical confidence
Risk Metrics
MAE (Max Adverse Excursion) — typical drawdown before fill
Worst 10% scenarios
Whipsaw probability (fills then reverses)
Timing Analysis
When do most fills happen?
Cumulative fill probability by time bucket
After-Fill Behavior
Does price continue or reverse after fill?
Extension beyond gap close
📈 Gap Classification
Gaps are classified by size relative to ATR:
Tiny: < 0.3x ATR
Small: 0.3x - 0.7x ATR
Medium: 0.7x - 1.2x ATR
Large: > 1.2x ATR
Statistics are calculated separately for each size AND direction (Up/Down), giving you 8 unique contexts instead of one generic number.
⚙️ Customization
Toggle individual sections on/off:
Today's Gap
History Stats
Fill Chances (ladder)
Live Status
Risk Info
Best Time to Fill
Opening Range
After Gap Fills
🔔 Alerts
Built-in alerts for:
25% fill
50% fill
75% fill
100% fill (complete)
📋 Data Source
Statistics derived from analysis of:
ES (E-mini S&P 500): 2,646 trading days
NQ (E-mini Nasdaq): 2,791 trading days
Data includes gaps from 2014-2024, covering various market conditions.
⚠️ Disclaimer
This indicator provides statistical probabilities based on historical data. Past performance does not guarantee future results. Use as one input in your trading decisions, not as the sole basis for trades.
💡 How to Use
Add indicator to ES or NQ futures chart
Select correct symbol in settings
At market open, check the probability and typical fill time
Use MAE data to set appropriate stop levels
Monitor live status throughout the session
Best used on 1-minute to 15-minute timeframes during RTH session.
Multi-Asset Rotation ModelOverview
This indicator provides a quantitative framework for analyzing a dual-leg rotation model between growth assets (Equities) and defensive assets (Precious Metals). It uses a mathematical approach—selectable between DMI-based Trend Spread or Rate of Change (ROC)—to determine relative strength and simulate a hypothetical rebalanced portfolio.
How it Works
The script evaluates two primary "legs" of a portfolio:
Domestic Growth: Rotates between Midcap (NSE:NIFTYMIDSML400) and Metals based on relative momentum.
International Growth: Rotates between NASDAQ-100 (NSE:MON100) and Metals.
Hedge Logic: When the model shifts to defensive mode, it further splits the allocation between Gold and Silver based on their internal relative strength.
Key Features
Dual Signal Engine: Toggle between a DMI (Directional Movement Index) spread or simple ROC (Rate of Change) to suit your research style.
Friction Modeling: Includes a user-defined "Slippage" input to account for the impact of transaction costs and tracking errors in hypothetical historical data.
Performance Dashboard: Displays total return, CAGR (Average Annual Return), Sharpe Ratio, and Rolling Returns for the model vs. benchmarks.
Dynamic Visualization: The Strategy NAV line changes color based on the model's current regime (Aggressive vs. Defensive).
Compliance & Risk Warning
Hypothetical Performance: This script displays a "Net Asset Value" (NAV) line based on historical data. These results are hypothetical and do not represent actual trading.
Educational Use Only: This tool is intended for research and backtesting analysis. It does not provide trade signals or investment advice.
No Future Predictions: Past performance, as modeled here, is not indicative of future market behavior.
Buyers & sellers Candle Control Dominance Zone @MaxMaserati 3.0Description
The Buyers & Sellers Candle Control Dominance Zone is a surgical price-action tool designed to identify and project key supply and demand zones derived from candle anatomy across multiple timeframes.
By splitting candles into "Sellers Control" (upper wick/shadow) and "Buyers Control" (lower wick/shadow) regions, this script visualizes exactly where price rejection and absorption are occurring. With the new HTF Engine, you can now view these institutional rejection zones from a Higher Timeframe (e.g., 4H) while trading on a Lower Timeframe (e.g., 15m).
How it Works
The indicator identifies specific "Control Zones" based on the battle between buyers and sellers:
Live Control (Current & HTF): Real-time monitoring of the developing candle. See a 4H wick forming live while watching the 1m chart.
Last Closed Control (Current & HTF): Projects the zones from the most recently completed candle.
Dominance Zones (BuBC & BeBC):
BuBC (Bullish Body Close): A "Dominance Zone" triggered when a candle closes above the previous candle's high. Signifies strong bullish momentum.
BeBC (Bearish Body Close): A "Dominance Zone" triggered when a candle closes below the previous candle's low. Signifies aggressive selling pressure.
Key Features
Multi-Timeframe (MTF) Overlay: Plot 4H, Daily, or Weekly control zones directly on your lower timeframe scalping charts.
Smart Labeling: HTF labels automatically update to show the zone type (e.g., "Sellers Control (Live) ") and whether the last candle was a Dominance candle (BuBC/BeBC).
Dynamic Extension: Zones are projected forward to help you catch retests of rejection levels.
Alerts Included: Built-in alerts trigger when price crosses into a Dominance Zone (BuBC/BeBC), allowing you to set it and forget it.
Can be use as:
Support & Resistance: Use Buyers Control zones (lower wicks) as demand zones for longs and Sellers Control zones (upper wicks) as supply zones for shorts.
Trend Confirmation: A BuBC zone often acts as a launchpad for continued upside. If price falls back into a BuBC zone and rejects, it is a high-probability continuation signal.
Fractal Entry: Use the HTF zones to find the "Big Picture" levels, then use the Current TF zones to refine your entry with precision.
Settings
Display Filter: Toggle Current TF zones (Live, Closed, BuBC, BeBC) independently.
Higher Timeframe Settings: Enable/Disable HTF overlay and select your preferred timeframe (e.g., 240 for 4H).
Visuals: Fully adjustable transparency, colors, and extension lengths to keep your chart clean.
KASTE indicator 2 (for 10s Entries)This script is a **1-minute MACD-based trend filter** designed to define clear **bullish or bearish market bias**.
It uses a fast MACD configuration combined with a 50-period EMA to identify short-term trend direction and momentum strength.
A bullish state is shown when price is above the EMA and MACD momentum is rising above zero, while a bearish state is shown when price is below the EMA and momentum is falling below zero.
The background color highlights the current trend, making it easy to align **10-second entry timing** with the higher-timeframe bias and avoid trading in choppy conditions.
AMT Orderflow Profile + Imbalance Highlight + DashboardAMT Orderflow Profile + Imbalance Highlight + Dashboard
This indicator is a price-bin-based orderflow profile designed to expose where aggressive participation is concentrated and sustained, not just where volume traded.
Unlike traditional volume profiles that show where activity occurred, this script focuses on how volume behaved inside price, separating buying and selling pressure and highlighting only statistically dominant imbalance.
🔹 Why This Script Is Original
Most volume profiles and orderflow tools suffer from one or more of the following:
Single-bin imbalance noise
Repeating alerts from already-accepted imbalance
Visual imbalance that does not align with alerts
No distinction between fresh initiative vs historical volume
This script solves those issues by combining price-bin profiling, directional volume classification, and strict imbalance persistence rules into one unified model.
The result is a contextual orderflow tool, not a signal spammer.
🔹 How It Works (Concepts)
Price-Based Binning
The script divides the price range of the lookback window into fixed bins.
Directional Volume Separation
Buy volume: candles closing above open
Sell volume: candles closing below open
Bin-Level Imbalance Calculation
A bin is imbalanced only when one side controls a configurable percentage of total volume:
Side Volume ÷ (Buy + Sell Volume) ≥ Threshold
Persistence Requirement (Noise Filter)
Imbalance is only considered valid when it appears across 3 or more consecutive bins, filtering out isolated prints.
Fresh Print Enforcement
Alerts trigger only when imbalance first appears, never while it persists or after it has already been accepted by price.
🔹 Visual Output
Each bin is drawn as a horizontal box
Imbalanced bins display:
Bold borders
Highlighted background
Text label: BUY IMB or SELL IMB
Box width represents relative volume intensity
Alerts are mathematically locked to these visual labels, ensuring perfect alignment between what you see and what you’re alerted on.
🔹 How Traders Use It
This tool is best used for:
Identifying initiative buying or selling
Spotting absorption vs acceptance
Confirming auction direction within a larger framework
Providing orderflow context alongside VWAP, IB, CVD, or market structure
It is not intended as a standalone entry signal, but as a confirmation and context engine.
🔹 Alerts (Non-Repainting)
BUY alert → fresh 3+ bin buy-side imbalance
SELL alert → fresh 3+ bin sell-side imbalance
Alerts do not repeat unless imbalance fully disappears and reappears
⚠️ Notes
Candle-based volume (not tick footprint)
Non-repainting
Designed for futures and liquid markets
Best used with clean charts for clarity
KASTE Buy & SellThis indicator works like a **MACD-based momentum tool**.
It calculates the difference between a fast and a slow moving average (MACD line) and smooths it with a signal line.
* A **Buy signal** appears when the MACD line crosses **above** the signal line, indicating rising bullish momentum.
* A **Sell signal** appears when the MACD line crosses **below** the signal line, indicating increasing bearish momentum.
The histogram visualizes momentum strength: green bars show bullish momentum and red bars show bearish momentum.
[Beta] J-XAU signalA personal hobby project - signal indicator for XAU.
Still exploring and testing ideas as a beginner.
Combines fundamental context, volume behavior, volatility conditions and etc.
To highlight potential market states. Include VWAP as refference.
Intended for analysis and observations only.
Thanks to anyone who finds it interesting.
Trade by Design - v0.0.1Trade by Design - v0.0.1
📊 Overview
This indicator displays key price levels based on New York trading session times (17:00 NYT). It helps traders identify important support and resistance levels from the previous day, previous week, and the current trading day.
💡 Inspiration
This indicator was inspired by concepts presented in this video: www.youtube.com
Thanks to Annii, her youtube channel is www.youtube.com
Also you can check this video about Mastering the UK session www.youtube.com
I created this indicator for my personal trading needs and decided to share it with the community. Please note that this indicator is in its early development stage (v0.0.1) and may be updated or improved over time based on feedback and my trading experience.
📈 What It Displays
1. Previous Week Levels (HoW / LoW) - Orange
HoW (High of Week): The highest price reached during the previous week
LoW (Low of Week): The lowest price reached during the previous week
Week starts at Sunday 17:00 New York Time
2. Previous Day Levels (HoD / LoD) - Aqua/Cyan
HoD (High of Day): The highest price reached during the previous trading day
LoD (Low of Day): The lowest price reached during the previous trading day
Trading day starts at 17:00 New York Time (aligned with futures market open)
3. Initial Day Levels (iH / iL) - Green
iH (Initial High): The current day's running high
iL (Initial Low): The current day's running low
Displays the percentage range between iH and iL in parentheses
Optional: Include or exclude the gap period (17:00-20:00 NYT)
⚙️ Settings
Colors
Prev Week (LoW/HoW): Color for weekly levels (default: orange)
Prev Day (LoD/HoD): Color for daily levels (default: aqua)
Initial Day (iL/iH): Color for current day levels (default: green)
Style
Line width: Thickness of the lines (1-5)
Line transparency: Transparency for current lines (0-90%)
Historical line transparency: Additional transparency for historical lines (0-90%)
Line style: Solid, Dashed, or Dotted
Label offset: Distance of labels from current price (in bars)
Label size: Tiny, Small, Normal, or Large
History
Number of weeks to display: How many weeks of historical data to show (1-10)
Show historical HoD/LoD: Toggle to show/hide previous days' HoD/LoD levels
Show historical iH/iL: Toggle to show/hide previous days' iH/iL levels
Initial Day (iH/iL)
Include gap (17:00-20:00 NYT):
✅ Checked: iH/iL calculation starts at 17:00 NYT
❌ Unchecked: iH/iL calculation starts at 20:00 NYT (excludes pre-market gap)
🕐 Time Reference
All times are based on New York Time (America/New_York timezone):
17:00 NYT: Start of the trading day (aligned with futures/forex session)
20:00 NYT: Alternative start time for iH/iL when gap is excluded
📝 Label Naming Convention
Current Levels:
HoW, LoW (Previous Week)
HoD, LoD (Previous Day)
iH, iL (Current Day) - includes percentage range
Historical Levels (when enabled):
HoW2, LoW2, HoW3, LoW3... (Older weeks)
HoD2, LoD2, HoD3, LoD3... (Older days)
iH1, iL1, iH2, iL2... (Previous days' initial ranges)
🎯 How to Use
Support & Resistance: Use HoW/LoW and HoD/LoD as potential support and resistance levels
Range Trading: Monitor the iH/iL percentage to gauge daily volatility
Breakout Trading: Watch for price breaking above HoD/HoW or below LoD/LoW
Multi-Timeframe Analysis: Enable multiple weeks to see longer-term levels
⚠️ Disclaimer
This indicator is in early development (v0.0.1) and was created for personal trading use
Past price levels do not guarantee future support/resistance
Always use proper risk management and combine with other analysis methods
This is not financial advice - trade at your own risk
🔄 Version History
v0.0.1 (Current)
Initial release
Previous week high/low (HoW/LoW)
Previous day high/low (HoD/LoD)
Initial day high/low (iH/iL) with percentage range
Multiple weeks history support
Customizable colors, transparency, and label sizes
Gap inclusion/exclusion option for iH/iL
💬 Feedback
This indicator is a work in progress. If you have suggestions for improvements or find any issues, please leave a comment below. Your feedback helps make this tool better for everyone!
Happy Trading! 📈
UCTRPB RSI Price Bands [CoinTadpole]UCTRPB RSI Price Bands
UCTRPB is a predictive price band indicator that reverse-engineers the RSI formula to project exact price levels where RSI would reach specific thresholds. This allows traders to plan systematic entries and exits BEFORE price arrives at key levels.
🔶 WHAT MAKES THIS DIFFERENT FROM EXISTING INDICATORS
This is NOT a simple RSI overlay, threshold alert, or basic reverse-calculation script.
Most open-source RSI tools provide:
- Current RSI value only (reactive, not predictive)
- Single threshold lines displayed on a separate RSI panel
- Alerts triggered AFTER RSI crosses a level (too late for preparation)
UCTRPB provides capabilities that standard RSI indicators cannot offer:
1. Reverse-Engineering Price Projection
While normal RSI calculates momentum FROM price, this indicator works backwards. It solves the RSI equation in reverse using Wilder's smoothing method to determine what price movement would produce a specific RSI value, then projects those levels directly on your price chart as dynamic bands.
2. Multi-Tier Zone System
Instead of single lines, displays gradient zones with upper and lower boundaries. The oversold zone shows two levels (default: RSI 20 and RSI 25), and the overbought zone shows two levels (default: RSI 73 and RSI 80). This enables systematic position building across multiple price levels.
3. Real-Time Percentage Distance Labels
Displays exact percentage distance from current price to each zone boundary. You instantly see how far price needs to drop to reach oversold (-X%) or rise to reach overbought (+X%).
4. Adaptive EMA Smoothing
User-adjustable smoothing parameter (1-20) adapts band responsiveness to different market conditions. Lower values for volatile low-cap altcoins, higher values for stable large-cap assets like Bitcoin.
5. Integrated Info Dashboard
All critical values displayed in one compact table: Current RSI, Current Price, Oversold Zone range, Overbought Zone range. Monitor everything at a glance without cluttering your chart.
6. Pre-Calculated DCA Entry Targets
Calculates exact prices for multiple RSI thresholds simultaneously, enabling planned Dollar-Cost Averaging entries before price arrives at those levels.
🔶 THE PROBLEM THIS SOLVES
Many traders want to accumulate at RSI oversold levels. However, they face a critical challenge:
The Challenge:
- "I want to buy when RSI hits 20-25"
- But what PRICE will that be?
- You cannot know in advance
- By the time RSI shows oversold, the opportunity requires instant reaction
Manual reverse-calculation of RSI is mathematically complex and practically impossible in real-time. The formula involves Wilder's exponential smoothing with rolling averages that change every bar.
The Solution:
UCTRPB pre-calculates these price levels dynamically, updating with each new bar. You see target prices BEFORE the move happens, allowing systematic order placement rather than reactive decisions.
As shown above, price touched the oversold zone and bounced. The indicator projected this support level BEFORE price arrived there.
🔶 MULTI-LEVEL DCA PLANNING SYSTEM
Unlike single-threshold indicators, UCTRPB displays a dual-boundary zone system for systematic position building:
🟢 Oversold Zone (Green Band) - For Accumulation Planning
The green gradient band shows where RSI would become oversold.
Default settings: RSI 20-25
- Upper boundary (RSI 25): First accumulation target - conservative entry
- Lower boundary (RSI 20): Second accumulation target - aggressive entry
Example: Current price $1.00
- RSI 25 level = $0.88 (-12%) → Place 1st limit buy
- RSI 20 level = $0.82 (-18%) → Place 2nd limit buy
🔴 Overbought Zone (Red Band) - For Take-Profit Planning
The red gradient band represents where RSI would enter overbought territory.
Default settings: RSI 73-80
- Lower boundary (RSI 73): First take-profit target - secure partial gains
- Upper boundary (RSI 80): Second take-profit target - extended target
Example: Current price $1.00
- RSI 73 level = $1.15 (+15%) → Place 1st take-profit
- RSI 80 level = $1.28 (+28%) → Place 2nd take-profit
This systematic approach enables:
- Planned DCA entries at multiple levels instead of single-point entries
- Graduated take-profit strategy to secure gains progressively
- Execution based on predetermined plan rather than emotional reactions
- Clear visibility of risk/reward before entering any position
Labels display exact price range and percentage distance to each zone, allowing precise limit order placement.
🔶 HOW THE ALGORITHM WORKS
The indicator applies reverse RSI calculation using Wilder's smoothing method:
Step 1: Retrieve Current RSI Components
Extracts current Average Gain and Average Loss values calculated using Wilder's exponential smoothing over the specified period (default: 14 bars).
Step 2: Calculate Target RS Ratio
For a target RSI value, calculates the required Relative Strength ratio.
Formula: Target RS = Target RSI / (100 - Target RSI)
Example: For RSI 25 → Target RS = 25/75 = 0.333
Example: For RSI 20 → Target RS = 20/80 = 0.250
Step 3: Determine Required Price Change
Based on current averages and Wilder smoothing formula, calculates what price change in the next bar would produce the target RS ratio. This accounts for how the new bar's gain/loss affects the smoothed averages.
Step 4: Project Price Levels
Converts required price change to actual price levels displayed as bands on the chart.
Step 5: Apply Adaptive Smoothing
EMA smoothing reduces noise while maintaining responsiveness. Adjustable from 1 (raw, responsive) to 20 (smooth, stable).
Mathematical Foundation:
RSI = 100 - (100 / (1 + RS))
where RS = Average Gain / Average Loss
UCTRPB solves this equation BACKWARDS to find the price that would produce a target RSI.
🔶 INFO TABLE DASHBOARD
The information table provides quick reference without cluttering the chart:
- Current RSI: Real-time RSI value
- Current Price: Latest closing price
- Oversold Zone: Price range for oversold territory
- RSI Range: Your configured RSI levels
- Overbought Zone: Price range for overbought territory
All critical values visible at a glance. Table position is adjustable (Top/Bottom, Left/Right).
Dashboard displays Current RSI, Price, and Zone levels in one place for quick reference.
🔶 BAND SMOOTHING SETTINGS
The Line Smoothing parameter (default: 15) controls band appearance:
Lower Values (1-10):
- More responsive, sharper bands
- Reacts quickly to price changes
- Better for volatile, low-cap altcoins with rapid price movements
- May show more noise
Higher Values (15-20):
- Smoother, more stable bands
- Filters out short-term fluctuations
- Better for high market cap assets (BTC, ETH) with substantial liquidity
- Cleaner visual appearance
Adjust based on the asset's typical volatility characteristics.
🔶 NON-REPAINTING CONFIRMATION
This indicator does NOT repaint:
- All calculations use closed bar data only
- Historical bands remain fixed after each bar closes
- What you see on historical charts is exactly what was displayed in real-time
- Intrabar fluctuations may show potential levels, but final levels are confirmed only at bar close
🔶 RECOMMENDED SETTINGS
Timeframes:
- 15-minute and 1-hour charts recommended for active trading
- 4-hour and Daily for swing trading setups
- Lower timeframes may produce more noise
Conservative Settings (Fewer but stronger signals):
- Bitcoin: Oversold 20-25, Overbought 75-80
- Large-cap Altcoins: Oversold 20-25, Overbought 73-80
Aggressive Settings (More opportunities):
- Small-cap Altcoins: Oversold 23-28, Overbought 70-75
- Higher RSI thresholds = more frequent zone touches
Price approaching the overbought zone tends to face resistance, as shown above.
🔶 IMPORTANT LIMITATIONS
- This indicator shows where RSI "would be" IF price moved there in the next bar
- Bands recalculate dynamically with each new bar as market conditions change
- This is a planning and analysis tool, not a guarantee of reversal at those levels
- Strong trends can push through oversold/overbought zones without immediate reversal
- Always use in conjunction with other analysis methods (support/resistance, volume, trend)
- Market conditions can change rapidly and invalidate projected levels
🔶 RISK DISCLAIMER
Trading involves substantial risk of loss. This indicator is provided for educational and informational purposes only. It does not constitute financial advice. Past indicator performance does not guarantee future results. All investment decisions are entirely your own responsibility.
🔶 HOW TO GET ACCESS
This script is provided as Invite-Only. To request access, please check the links in my TradingView profile.
ARZOUNI PRICE ACTION SWEEPSARZOUNI PRICE ACTION SWEEPS is a complete Smart Money Concepts & Price Action toolkit featuring Market Structure (BOS, CHoCH, CHoCH+), Inducements (IDM), Liquidity Sweeps, Volumetric Order Blocks, Fair Value Gaps, and MTF trend scanner — all in one clean and powerful indicator.
SUPRA_V2_SISTEMTREND TRACKING SYSTEM
USED IN HEIKIN - ASHI BAR SYSTEM. To access the system:
WhatsApp +905453753334
TrendX Financial Consulting
5-SMA Smart PivotDescription
This indicator is designed to identify short-term trend reversals by detecting pivot points in the 5-period Simple Moving Average (SMA).
How It Works
The script monitors the 5-day SMA for specific turning points:
Turn Down (Purple Arrow): Triggers when the SMA shifts from rising/flat to falling.
Turn Up (White Arrow): Triggers when the SMA shifts from falling/flat to rising.
Key Features
Smart Filter (Price Confirmation): Includes an optional "Weak Signal Filter" enabled by default. This ensures an arrow is only plotted if the price actually closes on the correct side of the SMA (e.g., Price must close below the SMA for a Down arrow). This helps reduce noise in choppy markets.
Clean Settings Menu: Unlike standard scripts that clutter your "Style" tab with dozens of checkboxes, this script uses dynamic labeling. This keeps your settings menu clean while still giving you full control.
Fully Customizable:
Arrow Size: Select from "Tiny" to "Huge" via a simple dropdown menu.
Colors: Fully adjustable colors for the SMA line, Up arrows, and Down arrows.
Settings
SMA Length: Default is 5, but can be adjusted to any length.
Filter Weak Signals: Toggle on/off to require price confirmation.
Visual Style: Change line width, colors, and arrow sizes instantly from the Inputs tab.
Usage
This tool is best used for short-term momentum trading to catch immediate shifts in trend direction. It works well when combined with a longer-term trend filter (like the 20/50 SMA) to take signals only in the direction of the major trend.
Pump and Dump Volatility Context [yigdeli]Overview
Pump and Dump Volatility Context is a market behavior indicator designed to highlight unusual price expansion and contraction by evaluating how current price action deviates from its recent volatility structure.
The indicator focuses on identifying periods of aggressive price displacement, providing a visual framework to help users contextualize extreme market behavior rather than anticipate future outcomes.
The script does not generate trade entries, exits, or predictions.
It provides contextual visual labels to help users observe moments when price behavior deviates significantly from its typical volatility structure.
📸
General overview highlighting periods of abnormal price displacement across the chart.
Core Logic
The indicator uses adaptive volatility measurements combined with short-term momentum context to highlight behavioral extremes during periods of heightened market activity.
It does not focus on direction, execution, or outcomes, but rather on visualizing how price behaves relative to its recent volatility environment.
📸
Close-up view of volatility expansion and contraction markers.
Intended Use
Labels appear during periods of abnormal upward or downward price behavior
All labels are contextual visual references only, not trading signals
All interpretation and decision-making remain entirely the responsibility of the user
📸
Overview of user-adjustable settings available within the indicator.
Data & Chart Behavior
The indicator operates on the active chart’s price data and does not independently generate, transform, or reinterpret candle types.
All outputs adapt dynamically to the chart configuration selected by the user.
Important Notes
Does not predict market direction
Does not identify manipulation
Does not guarantee reversals or outcomes
All outputs are visual context markers only
Disclaimer
This indicator is provided for analytical and visualization purposes only.
It does not constitute financial or trading advice.
Venu Dynamic Supply and Demand Zones [AlgoAlpha]Dynamic Supply and Demand Zones by AlgoAlpha
Modified to show percentages to right side of Supply and Demand zones
Peaks and Troughs📄 Script Description – EN (English)
Peaks and Troughs (P&T) is a price action indicator that identifies confirmed swing highs (peaks) and swing lows (troughs) based on structural trend changes.
Key features:
Trend-break based peak and trough confirmation
Optional engulfing signal at confirmed swing points
Body-break based Mother Bar (Outside Bar) range marking
Clean chart output with only the latest active levels
Unified alert system using Any alert() function call
Designed for discretionary trading, market structure analysis and automation-ready alerting.
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📄 Script Description – HU (Magyar)
A Peaks and Troughs (P&T) egy price action alapú indikátor, amely megerősített csúcs- (peak) és völgypontokat (trough) azonosít trendváltás alapján.
Főbb jellemzők:
Trendtörés alapú peak és trough meghatározás
Opcionális engulfing jelzés megerősített swing pontokon
Body-break alapú Mother Bar (Outside Bar) tartomány jelölés
Letisztult chart, mindig csak az aktuális szintekkel
Egységes riasztási rendszer (Any alert() function call)
Diszkrecionális kereskedéshez, market structure elemzéshez és automatizált riasztásokhoz optimalizálva.
RSI For Loop | RakoQuantRSI For Loop | RakoQuant is a regime-based momentum oscillator built from first principles using a loop-driven RSI engine, designed for clean trend-state detection and systematic backtesting inside an indicator framework.
This tool is part of the RakoQuant protected research line, combining institutional visuals, persistent regime logic, and a full custom performance table normally reserved for strategies.
Core Concept
This indicator answers one key question:
Is momentum expanding into a bullish regime, collapsing into bearish weakness, or remaining neutral?
Unlike standard RSI implementations, this version computes directional pressure through a for-loop accumulation model, producing a more structural and controlled oscillator.
How It Works
1. For-Loop RSI Engine
Instead of the classic single-step RSI calculation, this script uses:
Loop-based directional gain accumulation
Loop-based directional loss accumulation
RMA smoothing over the loop pressure
This creates a cleaner regime signal that avoids noisy single-candle distortions.
2. Threshold Regime Structure
Two thresholds define the oscillator regime:
Bullish Expansion → RSI breaks above Long Threshold
Bearish Contraction → RSI breaks below Short Threshold
State persists until a flip occurs, creating a true regime model rather than candle-by-candle oscillation.
3. BUY / SELL Flip Labels
On confirmed state transitions:
𝓑𝓾𝔂 prints on bullish regime activation
𝓢𝓮𝓵𝓵 prints on bearish regime breakdown
These flips are designed for:
Trend continuation confirmation
Regime-based positioning
Portfolio directional filters
UniStrat Premium Visual Engine
This protected release includes the full RakoQuant Palette System, supporting:
Alpha
Desert
Premium
Navy
Warm
Toxic
Neo
Matrix
All oscillator plots, candle painting, and tables automatically inherit the active palette.
RQ Custom Metrics Table (Indicator Backtest)
The defining feature of this protected script is its built-in:
♛ RQ Custom Metrics Engine
A full indicator-native backtest system displays:
Equity Max Drawdown
Intra-Trade Max Drawdown
Profit Factor
Win Rate
Sharpe Ratio
Sortino Ratio
Omega Ratio
Half Kelly Exposure
Total Trades
Net Profit %
Displayed in the signature table:
𝓑𝓪𝓬𝓴𝓽𝓮𝓼𝓽 𝓜𝓮𝓽𝓻𝓲𝓬𝓼
This allows systematic evaluation of indicator performance before building full strategies.
How to Use
✅ Momentum regime confirmation tool
✅ Trend continuation oscillator
✅ Portfolio trend filter (RSPS / UniStrat frameworks)
✅ Works best on 4H–1D swing environments
Recommended workflow:
Only trade long when oscillator is bullish
Defensive/cash when oscillator flips bearish
Combine with breakout or trend confluences for execution
Screenshot Placement
📸 Example chart / screenshot:
Keltner Channels For Loop | RakoQuantKeltner Channels For Loop | RakoQuant is a regime-based trend indicator built on a robust volatility engine using a for-loop True Range mean, designed specifically for clean trend-state classification in crypto markets.
This tool is part of the RakoQuant protected research line, combining institutional visuals, persistent breakout logic, and built-in backtest-grade performance metrics.
Core Concept
This indicator answers one key question:
Is price breaking into a bullish expansion regime, or collapsing into bearish volatility?
Unlike standard Keltner Channels that rely on ATR smoothing, this version computes volatility using a loop-based TR mean, producing a more structurally consistent envelope.
How It Works
1. Adaptive Keltner Basis
The channel baseline can be selected from:
EMA (default)
HMA (faster trend anchor)
DEMA (low-lag institutional baseline)
2. For-Loop True Range Volatility Engine
Instead of ATR, volatility is measured by:
True Range calculated per candle
Mean(TR) computed through a for-loop population average
This reduces noise artifacts and creates cleaner trend corridors.
3. Regime Breakout Logic
Two signal modes are supported:
Breakout Persistent Mode
State flips only when price breaks beyond the channel
Live Mode
State updates dynamically based on position relative to bands
Regime states:
Bullish → active bullish expansion
Bearish → defensive contraction
Neutral → no volatility breakout
Visual Engine (UniStrat Palette)
This script uses the full RakoQuant Premium Palette System:
Alpha, Desert, Premium, Navy, Warm, Toxic, Neo, Matrix
Bull and Bear states automatically repaint:
Rails
Candle colors
Buy/Sell labels
BUY / SELL Labels
On confirmed regime flips:
𝓑𝓾𝔂 prints on bullish breakout
𝓢𝓮𝓵𝓵 prints on bearish breakdown
Designed for clean regime shifts — not candle-to-candle noise.
RQ Custom Metrics Table (Built-In Backtest)
This protected release includes the full RakoQuant Indicator Backtest Engine, displaying:
Equity Max Drawdown
Intra-Trade Max Drawdown
Profit Factor
Win Rate
Sharpe Ratio
Sortino Ratio
Omega Ratio
Half Kelly Exposure
Total Trades
Net Profit %
Displayed in the signature:
𝓑𝓪𝓬𝓴𝓽𝓮𝓼𝓽 𝓜𝓮𝓽𝓻𝓲𝓬𝓼
All metrics update live directly from the indicator logic.
How to Use
✅ Trend regime filter for swing systems
✅ Volatility breakout confirmation layer
✅ Portfolio regime gating (RSPS / UniStrat frameworks)
✅ Best suited for 4H–1D markets
Trade only in alignment with the active regime:
Bull → long-biased environment
Bear → defensive / short environment
Screenshot Placement
📸 Example chart / screenshot:
Momentum Adaptive EMA | RakoQuantMomentum Adaptive EMA is a trend-following moving average system designed to dynamically adjust its responsiveness based on market momentum.
Instead of using a fixed smoothing speed like a normal EMA, this indicator becomes fast in strong moves and slow in choppy conditions, producing a cleaner adaptive trend structure.
This version also introduces a secondary POT Moving Average for smooth regime confirmation.
Core Idea
This indicator answers one key question:
Is momentum accelerating enough to justify a faster trend response?
By adapting the EMA’s smoothing factor in real time, the indicator avoids the two classic problems of moving averages:
Lag in strong trends
Whipsaws in sideways markets
How It Works
1. Momentum-Based Adaptivity Engine
The indicator measures momentum using a Rate-of-Change style move:
ROC = current price − price N bars ago
That momentum is normalized by volatility:
Momentum Strength = |ROC| ÷ stdev(ROC)
This produces a clean, scale-independent momentum score.
2. Adaptive EMA (Dynamic Alpha)
Instead of a constant EMA alpha, smoothing is adjusted between:
Alpha Min → slow mode (stable markets)
Alpha Max → fast mode (strong trend markets)
Adaptivity is controlled by:
k (Strength Parameter)
High momentum → EMA reacts faster
Low momentum → EMA smooths more
3. POT Moving Average (Weighted Trend Anchor)
A second moving average is calculated using a Power-Weighted POT MA, where the most recent values receive heavier weight:
Stronger emphasis on recent trend shifts
Smooth confirmation without volatility bands
This creates a clean dual-average regime filter:
Adaptive EMA = fast regime line
POT MA = slower structure anchor
Regime Signals
Trend regime is defined by crossovers:
Bullish regime: Adaptive EMA crosses above POT MA
Bearish regime: Adaptive EMA crosses below POT MA
Optional persistence keeps regimes stable instead of flipping constantly.
Visual System
Bull regime → Ice Blue trend state
Bear regime → Navy trend state
Candle painting optionally matches the active regime
The result is a clean institutional trend overlay with adaptive behavior.
Alerts Included
Bull Break Alert → Adaptive EMA crosses ABOVE POT MA
Bear Break Alert → Adaptive EMA crosses BELOW POT MA
Useful for automation or confirmation systems.
How to Use
✅ Trend filter for directional trading
✅ Adaptive MA replacement for classic EMA systems
✅ Works well on higher timeframes (4H / 1D)
✅ Combine with breakouts, momentum triggers, or volume tools for entries
Inputs Summary
Momentum Length → speed of momentum detection
Normalization Length → volatility scaling window
Alpha Min / Alpha Max → slow vs fast response bounds
Adaptivity Strength (k) → aggressiveness of adaptation
POT Length + Power → smoothing of the confirmation MA
Persistent Regime Toggle → stability vs live switching
Candle Paint Toggle → visual regime clarity
Screenshot Placement
📸 Example chart / screenshot: (insert image here)
Tip: show a strong bull trend + one bearish flip so users understand the adaptive behavior.
DEMA Volatility SuperTrend | RakoQuantDEMA Volatility SuperTrend is a clean trend-regime indicator built for volatile markets such as crypto.
It combines a Double Exponential Moving Average (DEMA) baseline with a standard deviation volatility envelope, then applies classic SuperTrend trailing logic to produce persistent bullish and bearish regimes.
This tool is designed for traders who want a smooth but responsive trend structure without relying on ATR alone.
Core Concept
This indicator answers one simple question:
Are we currently in a bullish trend regime or a bearish trend regime?
It does this by building a dynamic volatility corridor around a DEMA baseline and flipping only when price breaks beyond the active band.
How It Works
1. DEMA Baseline (fast + low lag)
A DEMA is used instead of a normal EMA to reduce lag while maintaining smooth trend behavior.
2. Volatility Engine (Standard Deviation)
Volatility bands are created using:
Raw Source Volatility
Classic standard deviation behavior
Residual vs Baseline Volatility
Measures deviations from the DEMA baseline for cleaner regime detection
Band formula:
Upper Band = baseline + multiplier × stdev
Lower Band = baseline − multiplier × stdev
3. SuperTrend Trailing Regime Logic
Instead of flipping every touch, the bands trail using SuperTrend persistence rules:
Bull regime → active lower band acts as support
Bear regime → active upper band acts as resistance
Flips occur only when price breaks beyond the trailing band.
Visual System
Bull regime: Ice-Blue active band
Bear regime: Violet active band
Optional faint inactive bands provide structure
Optional fill highlights the active regime corridor
Optional candle painting matches the regime state instantly
Alerts Included
Bull Flip Alert → regime turns bullish
Bear Flip Alert → regime turns bearish
Perfect for automation or regime-based filtering.
How to Use
✅ Trend filter for swing trading
✅ Regime confirmation layer for systems
✅ Works best on higher timeframes (4H / 1D)
✅ Combine with momentum or breakout triggers for entries
Inputs Summary
DEMA Length → baseline responsiveness
Volatility Length + Multiplier → band width + sensitivity
Volatility Mode → raw vs residual volatility
Flip Source → Close or HL2 for regime switching
Visual toggles → fill, candles, inactive rails
Screenshot Placement
📸 Example chart / screenshot:
Tip: show one bullish flip + one bearish flip with candle painting enabled.
