True Breakout Pattern [TradingFinder] Breakout Signal Indicator🔵 Introduction
In many market conditions, what initially appears to be a decisive breakout often turns out to be nothing more than a false breakout or fake breakout. Price breaks through a key swing level or an important support and resistance zone, only to quickly return to its previous range.
These failed breakouts, which are often the result of liquidity traps or market manipulation, serve more as a warning sign of structural weakness than confirmation of a new trend.
This indicator is designed around the concept of the fake breakout.
The logic is simple but precise : when price breaks a swing level and returns to that level within a maximum of five candles, the move is considered a false breakout. At this point, a Fibonacci retracement is applied to the recent price swing to evaluate the pullback area.
If price, within ten candles after the return to the breakout level, enters the Fibonacci zone between 0.618 and 1.0, the setup becomes valid for a potential entry. This area is identified as a long entry zone, with the stop loss placed just beyond the 1.0 level and the take profit defined based on the desired risk-to-reward ratio.
By combining accurate detection of false breakouts, analysis of price reaction to swing levels, and alignment with Fibonacci retracement logic, this framework allows traders to identify opportunities often missed by others. In a market where failed breakouts are a common and recurring phenomenon, this indicator aims to transform these traps into measurable trading opportunities.
Long Setup :
Short Setup :
🔵 How to Use
This indicator operates based on the recognition of false breakouts from structural levels in the market, specifically swing levels, and combines that with Fibonacci retracement analysis.
In this strategy, trades are only considered when price returns to the broken level within a defined time window and reacts appropriately inside a predefined Fibonacci range. Depending on the direction of the initial breakout, the system outlines two scenarios for long and short setups.
🟣 Long Setup
In the long setup, price initially breaks below a support level or swing low. If the price returns to the broken level within a maximum of five candles, the move is identified as a fake breakout.
At this stage, a Fibonacci retracement is drawn from the recent high to the low. If price, within ten candles of returning to the level, moves into the 0.618 to 1.0 Fibonacci zone, the conditions for a long entry are met.
The stop loss is placed slightly below the 1.0 level, while the take profit is set based on the trader’s preferred risk-reward ratio. This setup aims to capture deeply discounted entries at low risk, aligned with smart money reversals.
🟣 Short Setup
In the short setup, the price breaks above a resistance level or swing high. If the price returns to that level within five candles, the move is again treated as a false breakout. Fibonacci is then drawn from the recent low to the high to observe the retracement area.
Should price enter the 0.618 to 1.0 Fibonacci range within ten candles of returning, a short entry is considered valid. In this case, the stop loss is placed just above the 1.0 level, and the take profit is adjusted based on the intended risk-reward target. This method allows traders to identify high-probability short setups by focusing on failed breakouts and deep pullbacks.
🔵 Settings
🟣 Logical settings
Swing period : You can set the swing detection period.
Valid After Trigger Bars : Limits how many candles after a fake breakout the entry zone remains valid.
Max Swing Back Method : It is in two modes "All" and "Custom". If it is in "All" mode, it will check all swings, and if it is in "Custom" mode, it will check the swings to the extent you determine.
Max Swing Back : You can set the number of swings that will go back for checking.
🟣 Display settings
Displaying or not displaying swings and setting the color of labels and lines.
🟣 Alert Settings
Alert False Breakout : Enables alerts for Breakout.
Message Frequency : Determines the frequency of alerts. Options include 'All' (every function call), 'Once Per Bar' (first call within the bar), and 'Once Per Bar Close' (final script execution of the real-time bar). Default is 'Once per Bar'.
Show Alert Time by Time Zone : Configures the time zone for alert messages. Default is 'UTC'.
🔵 Conclusion
A sound understanding of the false breakout phenomenon and its relationship to structural price behavior is essential for technical traders aiming to improve precision and consistency. Many poor trading decisions stem from misinterpreting failed breakouts and entering too early into weak signals.
A structured approach, grounded in the analysis of swing levels and validated through specific price action and timing rules, can turn these misleading moves into valuable trade opportunities.
This indicator, by combining fake breakout detection with time filters and Fibonacci-based retracement zones, helps traders only engage with the market when multiple confirming factors are in alignment. The result is a strategy that emphasizes probability, risk control, and clarity in decision-making, offering a solid edge in navigating today’s volatile markets.
Educational
Scalping Candle [MMT]Based on Crak's X post . From the backtest, I think this is best suitable for 10m or 15m. If you scalp 10-15pts NQ, this also works well with SL at the high/low of the signal candle.
MENOLAK RUGI TRADING PLAN "MENOLAK RUGI TRADING PLAN"
is a customizable trading plan table designed to help Smart Money Concept (SMC) traders visualize their execution checklist directly on the chart.
With this tool, you can select multiple timeframes for analysis, define your POI (Point of Interest) entry types, entry system preferences, stop-loss parameters, target exit strategies, break-even setup conditions, and risk per trade — all displayed in a clean, organized table.
🔧 Features:
Multi-timeframe selection (D1 to M1)
Multi-select POI Entry, Entry System, and Target Exit
Customizable SL levels (10–100 pips)
BEP setup from 1R to 5R
Risk/Trade options from 0.1% to 1%
Full control over table color, font size, and position
Perfect for discretionary and rule-based traders who want to remain consistent, accountable, and structured in their trading approach.
Range Breakout Statistics [Honestcowboy]
⯁ Overview
The Range Breakout Statistics uses a very simple system to detect ranges/consolidating markets. The principle is simple, it looks for areas where the slope of a moving average is flat compared to past values. If the moving average is flat for X amount of bars that's a range and it will draw a box.
The statistics part of the script is a bit more complicated. The aim of this script is to expand analysis of trading signals in a different way than a regular backtest. It also highlights the polyline tool, one of my favorite drawing tools on the tradingview platform.
⯁ Statistics Methods
The script has 2 different modes of analyzing a trading signals strength/robustness. It will do that for 2 signals native to the script.
Upper breakout: first price breakout at top of box, before max bars (100 bars by default)
Lower breakout: first price breakout at bottom of box, before max bars
The analysis methods themselves are straightforward and it should be possible for tradingview community to expand this type of analysis to other trading signals. This script is a demo for this analysis, yet some might still find the native signals helpful in their trading, that's why the script includes alerts for the 2 native signals. I've also added a setting to disable any data gathering, which makes script run faster if you want to automate it.
For both of the analysis methods it uses the same data, just with different calculations and drawing methods. The data set is all past price action reactions to the signals saved in a matrix. Below a chart for explaining this visually.
⯁ Method 1: Averages Projection
The idea behind this is that just showing all price action that happened after signal does not give actionable insights. It's more a spaghetti jumble mess of price action lines. So instead the script averages the data out using 3 different approaches, all selectable in the settings menu.
Geometric Average: useful as it accurately reflects compound returns over time, smoothing out the impact of large gains or losses. Accounts for volatility drift.
Arithmetic Average: a standard average calculation, can be misleading in trading due to volatility drift. It is the most basic form of averaging so I included it.
Median: useful as any big volatility huge moves after a signal does not really impact the mean as it's just the middle value of all values.
These averages are the 2 lines you will find in the middle of the projection. Having a clear difference between a lower break average and upper break average price reaction can signal significance of the trading signal instead of pure chaos.
Outside of this I also included calculations for the maximum and minimum values in the dataset. This is useful for seeing price reactions range to the signal, showing extreme losses or wins are possible. For this range I also included 2 matrices of highs and lows data. This makes it possible to draw a band between the range based on closing price and the one using high/low data.
Below is a visualisation of how the averages data is shown on chart.
⯁ Method 2: Equity Simulation
This method will feel closer to home for traders as it more closely resembles a backtest. It does not include any commissions however and also is just a visualisation of price reaction to a signal. This method will simulate what would happen if you would buy at the breakout point and hold the trade for X amount of bars. With 0 being sell at same bar close. To test robustness I've given the option to visualise Equity simulation not just for 1 simulation but a bunch of simulations.
On default settings it will draw the simulations for 0 bars holding all the way to 10 bars holding. The idea behind it is to check how stable the effect is, to have further confirmation of the significance of the signal. If price simulation line moves up on average for 0 bars all the way to 10 bars holding time that means the signal is steady.
Below is a visualisation of the Equity Simulation.
⯁ Signal filtering
For the boxes themselves where breakouts come from I've included a simple filter based on the size of the box in ATR or %. This will filter out all the boxes that are larger top to bottom than the ATR or % value you setup.
⯁ Coloring of Script
The script includes 5 color themes, each carefully created using color themes from the pantone color institute. There are no color settings or other visual settings in the script, the script themes are simple and always have colors that work well together. Equity simulation uses a gradient based on lightness to color the different lines so it's easier to differentiate them while still upper breaks having a different color than lower breaks.
This script is not created to be used in conjunction with other scripts, it will force you into a background color that matches the theme. It's purpose is a research tool for systematic trading, to analyse signals in more depth.
Metaverse color theme:
⯁ Conclusion
I hope this script will help traders get a deeper understanding of how different assets react to their assets. It should be possible to convert this script into other signals if you know how to code on the platform. It is my intention to make more publications that include this type of analysis. It is especially useful when dealing with signals that do not happen often enough, so a regular backtest is not enough to test their significance.
Unicorn Trade Indicator - EnhancedThis script displays breaker blocks and if the correct conditions are met it will indicate a unicorn entry with a yellow diamond.
Users need to experiment with setting the swing length option, I found 2 or 3 to work best.
I decided to build this indicator as I could not find an open source one that worked adequately
Enjoy
IU Engulfing Candlestick PatternDISCRIPTION
📈 The IU Engulfing Candlestick Pattern indicator spotlights both bullish and bearish engulfing formations in real‑time. It shades each pattern with a transparent box and drops a concise label so you can catch potential reversals at a glance—no clutter, no noise, just the candles that matter.
USER INPUTS :
1. Pattern Recognition Based on = “Both” | “Wicks” | “Body” ( Default Both )
• Both → only highlights candles that satisfy **both** wick‑and‑body engulfing rules
• Wicks → checks full candle range (high‑to‑low)
• Body → checks only the real bodies (open‑to‑close)
2. Show Labels ( Default true )
If ticked then it will show the text as "Bullish Engulfing" or "Bearish Engulfing".
3. Show The Box ( Default true)
if ticked then it will show the green or red boxes.
INDICATOR LOGIC:
🔹 Bullish Engulfing (green box)
– Current bar closes higher than it opens and fully “wraps” the prior bar per your chosen rule.
🔹 Bearish Engulfing (red box)
– Current bar closes lower than it opens and fully “wraps” the prior bar per your chosen rule.
🔸 When a pattern confirms:
1. The script records the local high/low range.
2. Draws a semi‑transparent box spanning the engulfing pair.
3. Prints a compact up/down label exactly at the reaction point.
4. Fires a once‑per‑bar alert (“Bullish Engulfing” / “Bearish Engulfing”) you can route to webhooks or notifications.
WHY IT IS UNIQUE:
✨ Combines classic body‑only engulfing with an optional wick filter, letting traders demand stricter confirmation when markets are noisy.
✨ Box overlays visually segment the engulfed range—clearer than single‑bar markers.
✨ Lightweight: one input, zero repaint, and capped at 500 boxes to keep charts responsive.
✨ Ready‑to‑use alerts—no extra code needed for automation.
HOW USER CAN BENIFIT FROM IT :
- Spot early reversal zones or continuation thrusts without scanning candle by candle.
- Pair the alerts with trading bots, TradingView strategy testers, or mobile push notifications.
- Adapt the strictness (Body vs. Wicks vs. Both) to suit different assets, timeframes, or volatility regimes.
- Use the colored range boxes as dynamic support/resistance references for entries, targets, and stop‑loss placement.
📌 Tip: Test on multiple instruments and timeframes to find the sweet spot that matches your risk profile. This script is for educational purposes—always combine with sound risk management and confirm signals with broader market context.
Disclaimer :
This Video is not financial advice, it's for educational purposes only highlighting the power of coding( pine script) in TradingView, I am not a SEBI-registered advisor. Trading and investing involve risk, and you should consult with a qualified financial advisor before making any trading decisions. I do not guarantee profits or take responsibility for any losses you may incur.
CQ_MTF Target Price Lines [BITCOIN HOY]Introducing the “BITCOIN HOY” Price Action Indicator
A Practical Tool Inspired by Esteban Perez for Efficient Market Tracking
Welcome to everyone subscribed to the YouTube channel “BITCOIN HOY”! Today, we are excited to present a specialized indicator designed for traders and enthusiasts following the guidance and strategies of Esteban Perez. This indicator was created in direct response to Esteban’s suggestion—providing the community with a more organized, digital alternative to the traditional trading notebook.
Purpose and Inspiration
The foundation of this indicator rests on a simple yet powerful concept: making it easier to track weekly and daily price action updates, along with calculated support, resistance, and target levels across different time frames. By digitizing the process, you no longer need to write each level by hand—the indicator does the plotting for you, presenting a clear, organized view directly on your chart.
Key Features
• Manual Entry for Multi-Time Frame Targets: Enter your own calculated price targets for intraday (1H), short-term (4H), daily (1D), and weekly (1W) charts.
• Visual Price Labels: Each inputted target draws a corresponding line and price label, making it easy to visualize and reference directly on your trading platform.
• Central Operations Axis: For each time frame, you can specify the central axis of operations, reflecting strategic zones or pivotal price points as described in Esteban Perez’s methodology.
• Related Event Tracking: Document and associate key market events with their respective price zones, helping contextualize market movements and decisions.
• Intuitive Organization: Adheres to the structure and terminology familiar to followers of “BITCOIN HOY,” ensuring everyone can use it with confidence.
How to Use the Indicator
• Step 1: Calculate your desired price targets for each time frame (1H, 4H, 1D, 1W) using your preferred methods or following Esteban’s recommendations.
• Step 2: Enter the targets into the indicator input fields, separated by commas for multiple entries on the same time frame.
• Step 3: Input individual prices for weekly targets and for the central operations axis in the dedicated fields.
• Step 4: Optionally, annotate related events or notes corresponding to particular levels, giving further clarity to your analysis.
• Step 5: Observe your chart—the indicator will draw lines and labels, offering a visual roadmap for your trading decisions.
Benefits
• Saves Time: No more repetitive manual note-taking—everything is streamlined and visible in one place.
• Reduces Errors: Visual price labels help minimize mistakes that can occur with hand-written notes or misreads.
• Enhances Consistency: Maintains the disciplined, methodical approach advocated on the “BITCOIN HOY” channel.
• Supports Strategic Planning: Easily reference central axes and event annotations to make informed decisions.
Acknowledgments
This tool is made possible through the dedication and insight of Esteban Perez. His commitment to educating and empowering the “BITCOIN HOY” community has inspired many, and his willingness to share both his knowledge and his strategies continues to elevate everyone following his channel. Thank you, Esteban, for your hard work and generosity.
Confluence checklistConfluences by Scalpr
Custom Confluences Checklist - Trading Setup Confirmation Tool
A clean and customizable confluence tracking indicator designed to help traders confirm high-probability setups by monitoring multiple technical factors simultaneously.
Key Features:
10 Fully Customizable Confluences - Name each confluence to match your trading strategy (Premium/Discount zones, Liquidity sweeps, Market structure, etc.)
Dynamic Dashboard - Only appears when confluences are active, keeping your chart clean
Visual Confirmation - Green checkmarks (✅) for each confirmed confluence with custom color coding
Flexible Display Options - Choose dashboard position (4 corners) and size (Small/Normal/Large)
Real-time Counter - Shows active confluence count in header
Professional Layout - Confluence names on left, checkmarks on right for easy scanning
How to Use:
Setup Phase - Enable and rename confluences in settings to match your analysis criteria
Analysis Phase - Check/uncheck confluences as market conditions align with your setup
Confirmation Phase - Use the dashboard as a visual checklist to confirm trade entries
Perfect For:
ICT traders tracking premium/discount, liquidity sweeps, and market structure
Multi-timeframe analysis confirmation
Setup validation before trade execution
Educational purposes for learning confluence-based trading
Momentum_EMABandThe Momentum EMA Band V1 is a precision tool designed for intraday traders & scalpers. This is the first version of the script, combining three powerful technical elements to help traders identify directional moves while filtering out weak, choppy market phases.
🔧 How the Indicator Works — Combined Logic
This indicator merges well-known but distinct concepts into a unified visual framework:
1️⃣ EMA Price Band — Dynamic Zone Visualization
Plots upper and lower EMA bands based on user input (default: 9-period EMA).
Price relative to the bands provides immediate visual cues:
Green Band: Price above the upper EMA — bullish strength.
Red Band: Price below the lower EMA — bearish pressure.
Yellow Band: Price within the band — neutral zone.
2️⃣ Supertrend Overlay — Reliable Trend Confirmation
ATR-based Supertrend logic (customizable ATR length & factor).
Green Supertrend Line: Uptrend confirmation.
Red Supertrend Line: Downtrend confirmation.
Helps traders ride trends with dynamic levels that adjust to volatility.
3️⃣ ADX-Based No Trade Zone — Choppy Market Filter
Manual ADX calculation measures trend strength (default ADX length: 14).
When ADX is below a user-defined threshold (default: 20) and price is within the EMA Band buffer, a gray background highlights sideways or indecisive market conditions — suggesting no new trade or low momentum zone
Optional gray triangle marker shows the start of each No-Trade Zone phase.
🎯 Key Features
✅ Combines EMA Bands, Supertrend & ADX filtering for comprehensive market context.
✅ Visual No-Trade Zone shading keeps traders out of low-probability setups.
✅ Supertrend Line tracks evolving trend bias.
✅ Fully customizable — adjust EMA, ATR, ADX settings to match different instruments or styles.
✅ Clean, focused chart presentation for easy interpretation.
💡 Practical Application
Momentum Breakouts: Enter trades when price breaks beyond the EMA Band, with Supertrend confirmation.
Avoid Sideways Traps: Refrain from trading during gray-shaded No-Trade Zones, minimizing exposure to whipsaws.
Scalping & Intraday Edge: Particularly effective on lower timeframes where choppy periods are common.
⚠️ Important Disclaimer
This is Version 1 — future versions may expand on features based on trader feedback.
This script is for educational purposes only. Always combine with risk management and thorough strategy validation.
No indicator guarantees profitability — use this tool as part of a broader trading system.
Zen Open - 18 Bar v2Zen Open – 18 Bar Box (RTH Study Tool)
📄 Description:
This script highlights the first 18 bars of each Regular Trading Hours (RTH) session with a visual box and optional range label. It is intended as a study aid for traders analyzing early session structure.
Features:
• Draws a box around the first 18 bars of the RTH session
• Displays the total range as a label (optional)
• Fully customizable box color and transparency
Intended Use:
This is an educational and visual analysis tool to help traders research how the RTH open influences the rest of the session.
Tight opening range may suggest range expansion
Wide opening range may indicate reduced movement or reversal risk
This script does not generate trading signals, does not offer financial advice, and does not promote any service. It is provided for discretionary study and chart analysis only.
200 EMA, 50 EMA, 21 EMAEMA Indicator 3 in 1 (21,50,200) Why download three individual indicator in you can have all in one.
Position Size Calculator with Fees# Position Size Calculator with Portfolio Management - Manual
## Overview
The Position Size Calculator with Portfolio Management is an advanced Pine Script indicator designed to help traders calculate optimal position sizes based on their total portfolio value and risk management strategy. This tool automatically calculates your risk amount based on portfolio allocation percentages and determines the exact position size needed while accounting for trading fees.
## Key Features
- **Portfolio-Based Risk Management**: Calculates risk based on total portfolio value
- **Tiered Risk Allocation**: Separates trading allocation from total portfolio
- **Automatic Trade Direction Detection**: Determines long/short based on entry vs stop loss
- **Fee Integration**: Accounts for trading fees in position size calculations
- **Risk Factor Adjustment**: Allows scaling of position size up or down
- **Visual Display**: Shows all calculations in a clear, color-coded table
- **Automatic Risk Calculation**: No need to manually input risk amount
## Input Parameters
### Total Portfolio ($)
- **Purpose**: The total value of your investment portfolio
- **Default**: 0.0
- **Range**: Any positive value
- **Step**: 0.01
- **Example**: If your total portfolio is worth $100,000, enter 100000
### Trading Portfolio Allocation (%)
- **Purpose**: The percentage of your total portfolio allocated to active trading
- **Default**: 20.0%
- **Range**: 0.0% to 100.0%
- **Step**: 0.01
- **Example**: If you allocate 20% of your portfolio to trading, enter 20
### Risk from Trading (%)
- **Purpose**: The percentage of your trading allocation you're willing to risk per trade
- **Default**: 0.1%
- **Range**: Any positive value
- **Step**: 0.01
- **Example**: If you risk 0.1% of your trading allocation per trade, enter 0.1
### Entry Price ($)
- **Purpose**: The price at which you plan to enter the trade
- **Default**: 0.0
- **Range**: Any positive value
- **Step**: 0.01
### Stop Loss ($)
- **Purpose**: The price at which you will exit if the trade goes against you
- **Default**: 0.0
- **Range**: Any positive value
- **Step**: 0.01
### Risk Factor
- **Purpose**: A multiplier to scale your position size up or down
- **Default**: 1.0 (no scaling)
- **Range**: 0.0 to 10.0
- **Step**: 0.1
- **Examples**:
- 1.0 = Normal position size
- 2.0 = Double the position size
- 0.5 = Half the position size
### Fee (%)
- **Purpose**: The percentage fee charged per transaction
- **Default**: 0.01% (0.01)
- **Range**: 0.0% to 1.0%
- **Step**: 0.001
## How Risk Amount is Calculated
The script automatically calculates your risk amount using this formula:
```
Risk Amount = Total Portfolio × Trading Allocation (%) × Risk % ÷ 10,000
```
### Example Calculation:
- Total Portfolio: $100,000
- Trading Allocation: 20%
- Risk per Trade: 0.1%
**Risk Amount = $100,000 × 20 × 0.1 ÷ 10,000 = $20**
This means you would risk $20 per trade, which is 0.1% of your $20,000 trading allocation.
## Portfolio Structure Example
Let's say you have a $100,000 portfolio:
### Allocation Structure:
- **Total Portfolio**: $100,000
- **Trading Allocation (20%)**: $20,000
- **Long-term Investments (80%)**: $80,000
### Risk Management:
- **Risk per Trade (0.1% of trading)**: $20
- **Maximum trades at risk**: Could theoretically have 1,000 trades before risking entire trading allocation
## How Position Size is Calculated
### Trade Direction Detection
- **Long Trade**: Entry price > Stop loss price
- **Short Trade**: Entry price < Stop loss price
### Position Size Formulas
#### For Long Trades:
```
Position Size = -Risk Factor × Risk Amount / (Stop Loss × (1 - Fee) - Entry Price × (1 + Fee))
```
#### For Short Trades:
```
Position Size = -Risk Factor × Risk Amount / (Entry Price × (1 - Fee) - Stop Loss × (1 + Fee))
```
## Output Display
The indicator displays a comprehensive table with color-coded sections:
### Portfolio Information (Light Blue Background)
- **Portfolio (USD)**: Your total portfolio value
- **Trading Portfolio Allocation (%)**: Percentage allocated to trading
- **Risk as % of Trading**: Risk percentage per trade
### Trade Setup (Gray Background)
- **Entry Price**: Your specified entry price
- **Stop Loss**: Your specified stop loss price
- **Fee (%)**: Trading fee percentage
- **Risk Factor**: Position size multiplier
### Risk Analysis (Red Background)
- **Risk Amount**: Automatically calculated dollar risk
- **Effective Entry**: Actual entry cost including fees
- **Effective Exit**: Actual exit value including fees
- **Expected Loss**: Calculated loss if stop loss is hit
- **Deviation from Risk %**: Accuracy of risk calculation
### Final Result (Blue Background)
- **Position Size**: Number of shares/units to trade
## Usage Examples
### Example 1: Conservative Long Trade
- **Total Portfolio**: $50,000
- **Trading Allocation**: 15%
- **Risk per Trade**: 0.05%
- **Entry Price**: $25.00
- **Stop Loss**: $24.00
- **Risk Factor**: 1.0
- **Fee**: 0.01%
**Calculated Risk Amount**: $50,000 × 15% × 0.05% ÷ 100 = $3.75
### Example 2: Aggressive Short Trade
- **Total Portfolio**: $200,000
- **Trading Allocation**: 30%
- **Risk per Trade**: 0.2%
- **Entry Price**: $150.00
- **Stop Loss**: $155.00
- **Risk Factor**: 2.0
- **Fee**: 0.01%
**Calculated Risk Amount**: $200,000 × 30% × 0.2% ÷ 100 = $120
**Actual Risk**: $120 × 2.0 = $240 (due to risk factor)
## Color Coding System
- **Green/Red Header**: Trade direction (Long/Short)
- **Light Blue**: Portfolio management parameters
- **Gray**: Trade setup parameters
- **Red**: Risk-related calculations and results
- **Blue**: Final position size result
## Best Practices
### Portfolio Management
1. **Keep trading allocation reasonable** (typically 10-30% of total portfolio)
2. **Use conservative risk percentages** (0.05-0.2% per trade)
3. **Don't risk more than you can afford to lose**
### Risk Management
1. **Start with small risk factors** (1.0 or less) until comfortable
2. **Monitor your total exposure** across all open positions
3. **Adjust risk based on market conditions**
### Trade Execution
1. **Always validate calculations** before placing trades
2. **Account for slippage** in volatile markets
3. **Consider position size relative to liquidity**
## Risk Management Guidelines
### Conservative Approach
- Trading Allocation: 10-20%
- Risk per Trade: 0.05-0.1%
- Risk Factor: 0.5-1.0
### Moderate Approach
- Trading Allocation: 20-30%
- Risk per Trade: 0.1-0.15%
- Risk Factor: 1.0-1.5
### Aggressive Approach
- Trading Allocation: 30-40%
- Risk per Trade: 0.15-0.25%
- Risk Factor: 1.5-2.0
## Troubleshooting
### Common Issues
1. **Position Size shows 0**
- Verify all portfolio inputs are greater than 0
- Check that entry price differs from stop loss
- Ensure calculated risk amount is positive
2. **Very small position sizes**
- Increase risk percentage or risk factor
- Check if your risk amount is too small for the price difference
3. **Large risk deviation**
- Normal for very small positions
- Consider adjusting entry/stop loss levels
### Validation Checklist
- Total portfolio value is realistic
- Trading allocation percentage makes sense
- Risk percentage is conservative
- Entry and stop loss prices are valid
- Trade direction matches your intention
## Advanced Features
### Risk Factor Usage
- **Scaling up**: Use risk factors > 1.0 for high-confidence trades
- **Scaling down**: Use risk factors < 1.0 for uncertain trades
- **Never exceed**: Risk factors that would risk more than your comfort level
### Multiple Timeframe Analysis
- Use different risk factors for different timeframes
- Consider correlation between positions
- Adjust trading allocation based on market conditions
## Disclaimer
This tool is for educational and planning purposes only. Always verify calculations manually and consider market conditions, liquidity, and correlation between positions. The automated risk calculation assumes you're comfortable with the mathematical relationship between portfolio allocation and individual trade risk. Past performance doesn't guarantee future results, and all trading involves risk of loss.
Easy Position Size Calculator with Fees# Easy Position Size Calculator with Fees - Manual
## Overview
The Easy Position Size Calculator is a Pine Script indicator designed to help traders calculate the optimal position size for their trades while accounting for trading fees. This tool automatically determines whether you're planning a long or short position and calculates the exact position size needed to risk a specific dollar amount.
## Key Features
- **Automatic Trade Direction Detection**: Determines if you're going long or short based on entry price vs stop loss
- **Fee Integration**: Accounts for trading fees in position size calculations
- **Risk Management**: Calculates position size based on your specified risk amount
- **Risk Factor Adjustment**: Allows you to scale your position size up or down
- **Visual Display**: Shows all calculations in a clear, organized table
## Input Parameters
### Entry Price ($)
- **Purpose**: The price at which you plan to enter the trade
- **Default**: 0.0
- **Range**: Any positive value
- **Step**: 0.01
### Stop Loss ($)
- **Purpose**: The price at which you will exit the trade if it goes against you
- **Default**: 0.0
- **Range**: Any positive value
- **Step**: 0.01
### Risk ($)
- **Purpose**: The maximum dollar amount you're willing to lose on this trade
- **Default**: 0.0
- **Range**: Any positive value
- **Step**: 0.01
### Risk Factor
- **Purpose**: A multiplier to scale your position size up or down
- **Default**: 1.0 (no scaling)
- **Range**: 0.0 to 10.0
- **Step**: 0.1
- **Examples**:
- 1.0 = Normal position size
- 2.0 = Double the position size
- 0.5 = Half the position size
### Fee (%)
- **Purpose**: The percentage fee charged per transaction (buy/sell)
- **Default**: 0.01% (0.01)
- **Range**: 0.0% to 1.0%
- **Step**: 0.001
## How It Works
### Trade Direction Detection
The script automatically determines your trade direction:
- **Long Trade**: Entry price > Stop loss price
- **Short Trade**: Entry price < Stop loss price
### Position Size Calculation
#### For Long Trades:
```
Position Size = -Risk Factor × Risk Amount / (Stop Loss × (1 - Fee) - Entry Price × (1 + Fee))
```
#### For Short Trades:
```
Position Size = -Risk Factor × Risk Amount / (Entry Price × (1 - Fee) - Stop Loss × (1 + Fee))
```
### Fee Adjustment
The script accounts for fees on both entry and exit:
- **Long trades**: You pay fees when buying (entry) and selling (exit)
- **Short trades**: You pay fees when shorting (entry) and covering (exit)
## Output Display
The indicator displays a table with the following information:
### Trade Information
- **Trade Type**: Shows whether it's a LONG, SHORT, or INVALID trade
- **Entry Price**: Your specified entry price
- **Stop Loss**: Your specified stop loss price
- **Fee (%)**: The fee percentage being used
### Risk Parameters
- **Risk Amount**: The dollar amount you're willing to risk
- **Risk Factor**: The multiplier being applied
### Calculated Values
- **Effective Entry**: The actual cost per share including fees
- **Effective Exit**: The actual exit value per share including fees
- **Expected Loss**: The calculated loss if stop loss is hit
- **Deviation from Risk %**: Shows how close the expected loss is to your target risk
- **Position Size**: The number of shares/units to trade
## Usage Examples
### Example 1: Long Trade
- Entry Price: $100.00
- Stop Loss: $95.00
- Risk Amount: $500.00
- Risk Factor: 1.0
- Fee: 0.01%
**Result**: The script will calculate how many shares to buy so that if the stop loss is hit, you lose approximately $500 (accounting for fees). Position Size: 99.61152
### Example 2: Short Trade
- Entry Price: $50.00
- Stop Loss: $55.00
- Risk Amount: $300.00
- Risk Factor: 1.0
- Fee: 0.01%
**Result**: The script will calculate how many shares to short so that if the stop loss is hit, you lose approximately $300 (accounting for fees). Position Size: 59.87426
## Important Notes
### Validation Requirements
For the script to work properly, all of the following must be true:
- Entry price > 0
- Stop loss > 0
- Risk amount > 0
- Entry price ≠ Stop loss (to determine direction)
### Negative Position Sizes
The script may show negative position sizes, which is normal:
- **Negative values for long trades**: Represents shares to buy
- **Negative values for short trades**: Represents shares to short
### Risk Deviation
The "Deviation from Risk %" shows how closely the calculated position size matches your target risk. Small deviations are normal due to:
- Fee calculations
- Rounding
- Market precision
## Color Coding
The table uses color coding for easy identification:
- **Green**: Long trade information
- **Red**: Short trade information
- **Gray**: Invalid trade (when inputs are incorrect)
- **Blue**: Final position size
- **Red background**: Risk-related calculations
## Troubleshooting
### Common Issues
1. **Position Size shows 0**
- Check that all inputs are greater than 0
- Ensure entry price is different from stop loss
2. **Trade Type shows INVALID**
- Verify that entry price and stop loss are both positive
- Make sure entry price ≠ stop loss
3. **Large Risk Deviation**
- This is normal for very small position sizes
- Consider adjusting your risk amount or price levels
## Best Practices
1. **Always validate your inputs** before placing actual trades
2. **Double-check the trade direction** shown in the table
3. **Review the expected loss** to ensure it aligns with your risk management
4. **Consider the effective entry/exit prices** which include fees
5. **Use appropriate risk factors** - avoid extreme values that could lead to overexposure
## Disclaimer
This tool is for educational and planning purposes only. Always verify calculations manually and consider market conditions, liquidity, and other factors before placing actual trades. The script assumes that fees are charged on both entry and exit transactions.
Dynamic Ray BandsAbout Dynamic Ray Bands
Dynamic Ray Bands is a volatility-adaptive envelope indicator that adjusts in real time to evolving market conditions. It uses a Double Exponential Moving Average (DEMA) as its central trend reference, with upper and lower bands scaled according to current volatility measured by the Average True Range (ATR).
This creates a dynamic structure that visually frames price action, helping traders identify areas of potential trend continuation, overextension, or mean reversion.
How It Works
🟡 Centerline (DEMA)
The central yellow line is a Double Exponential Moving Average, which offers a smoother, less laggy trend signal than traditional moving averages. It represents the market’s short- to medium-term “equilibrium.”
🔵 Outer Bands
Plotted at:
Upper Band = DEMA + (ATR × outerMultiplier)
Lower Band = DEMA - (ATR × outerMultiplier)
These bands define the extreme bounds of current volatility. When price breaks above or below them, it can signal strong directional momentum or overbought/oversold conditions, depending on context. They're often used as trend breakout zones or to time exits after extended runs.
🟣 Inner Bands
Plotted closer to the DEMA:
Inner Upper = DEMA + (ATR × innerMultiplier)
Inner Lower = DEMA - (ATR × innerMultiplier)
These are preliminary volatility thresholds, offering early cues for potential expansion or reversal. They may be used for scalping, tight stop zones, or pre-breakout positioning.
🔁 Dynamic Width (Bands are Dynamically Adjusted Per Tick)
The width of both inner and outer bands is based on ATR (Average True Range), which is recalculated in real time. This means:
During high volatility, the bands expand, allowing for wider price fluctuations.
During low volatility, the bands contract, tightening range expectations.
Unlike fixed-width channels or standard Bollinger Bands (which use standard deviation), this per-tick adjustment via ATR enables Dynamic Ray Bands to reduce false signals in choppy markets and remain more reactive during trending conditions.
⚙️ Inputs
DMA Length — Period for the central DEMA.
ATR Length — Lookback used for ATR volatility calculations.
Outer Band Multiplier — Controls sensitivity of extreme bands.
Inner Band Multiplier — Controls proximity of inner bands.
Show Inner Bands — Toggle for plotting the inner zone.
🔔 Alerts
Alert conditions are included for:
Price closing above/below the outer bands (trend momentum or overextension)
Price closing above/below the inner bands (early signs of strength/weakness)
🧭 Use Cases
Breakout detection — Catch price continuation beyond the outer bands.
Volatility filtering — Adjust trade logic based on band width.
Mean reversion — Monitor for snapbacks toward the DEMA after price stretches too far.
Trend guidance — Use band slope and price position to confirm direction.
⚠️ Disclaimer
This script is intended for educational and informational purposes only. It does not constitute financial advice or a recommendation to trade any specific market or security. Always test indicators thoroughly before using them in live trading.
4 diffs (CB & IBIT Premium)📊 Script Name: 4 diffs (CB & IBIT Premium)
Version: Pine Script® v6
Overlay: Yes (table displayed on chart)
🧠 What it Does:
This script tracks four important Bitcoin price differentials to monitor spot/perpetual/futures price inefficiencies and ETF premium/discounts, and displays them in a live table on the chart. It helps traders identify arbitrage opportunities or institutional pricing signals.
📈 Displayed Metrics:
Coinbase Premium
→ Difference between Coinbase spot and Binance spot prices.
→ Use case: US vs. offshore spot market divergence.
Coinbase Spot vs Binance Perpetual
→ Difference between Coinbase spot and Binance perpetual price.
→ Use case: Spot-perp basis, often used for funding rate insights or market stress.
Bybit vs Binance Perpetual
→ Difference between Bybit perp and Binance perp price.
→ Use case: Compare derivative pricing across major offshore exchanges.
IBIT Premium (CME vs ETF-implied)
→ Compares CME futures price vs. IBIT’s implied spot BTC value
→ IBIT implied BTC = IBIT ETF price ÷ (BTC held / shares outstanding)
→ Use case: Gauge institutional premium/discount and ETF arbitrage clues.
🛠️ Customization:
Text color of the table is adjustable via the input setting.
📌 Visual Output:
A fixed 2×4 table appears in the top-right corner of the chart.
Each row shows a label and the live price difference in USD.
MULTI INDICATOR BY DEEPANINDIAThis TradingView strategy combines EMA, SuperTrend, and swing high/low to identify trend breakouts. A long trade is triggered when the previous candle closes above the EMA High and the current candle breaks the prior high. A short trade occurs (if not in Long Only mode) when the opposite happens with the EMA Low. The SuperTrend confirms trend direction, while swing points act as dynamic stop-loss levels. The script includes customizable inputs for EMA lengths, SuperTrend settings, and swing lookback. It helps traders capture strong trends with defined entries and exits using a rules-based, multi-indicator approach.
MULTI INDICATOR BY DEEPANINDIAThis TradingView strategy combines EMA, SuperTrend, and swing high/low to identify trend breakouts. A long trade is triggered when the previous candle closes above the EMA High and the current candle breaks the prior high. A short trade occurs (if not in Long Only mode) when the opposite happens with the EMA Low. The SuperTrend confirms trend direction, while swing points act as dynamic stop-loss levels. The script includes customizable inputs for EMA lengths, SuperTrend settings, and swing lookback. It helps traders capture strong trends with defined entries and exits using a rules-based, multi-indicator approach.
Delta Spike Detector [GSK-VIZAG-AP-INDIA]📌 Delta Spike Detector – Volume Imbalance Ratio
By GSK-VIZAG-AP-INDIA
📘 Overview
This indicator highlights aggressive buying or selling activity by analyzing the imbalance between estimated Buy and Sell volume per candle. It flags moments when one side dominates the other significantly — defined by user-selectable volume ratio thresholds (10x, 15x, 20x, 25x).
📊 How It Works
Buy/Sell Volume Estimation
Approximates buyer and seller participation using candle structure:
Buy Volume = Proximity of close to low
Sell Volume = Proximity of close to high
Delta & Delta Ratio
Delta = Buy Volume − Sell Volume
Delta Ratio = Ratio of dominant volume side to the weaker side
When this ratio exceeds a threshold, it’s classified as a spike.
Spike Labels
Labels are plotted on the chart:
10x B, 15x B, 20x B, 25x B → Buy Spike Labels (below candles)
10x S, 15x S, 20x S, 25x S → Sell Spike Labels (above candles)
The color of each label reflects the spike strength.
⚙️ User Inputs
Enable/Disable Buy or Sell Spikes
Set custom delta ratio thresholds (default: 10x, 15x, 20x, 25x)
🎯 Use Cases
Spotting sudden aggressive activity (e.g. smart money moves, traps, breakouts)
Identifying short-term market exhaustion or momentum bursts
Complementing other trend or volume-based tools
⚠️ Important Notes
The script uses approximated Buy/Sell Volume based on price position, not actual order flow.
This is not a buy/sell signal generator. It should be used in context with other confirmation indicators or market structure.
✍️ Credits
Developed by GSK-VIZAG-AP-INDIA
For educational and research use only.
Period Separators With Dates & PricesPeriod separator with dates and relative high-low prices.
Great tool to identify market structure.
Daily Profiler NFPDaily Profiler NFP
Overview
The Daily Profiler NFP is a comprehensive trading tool designed to track, visualize, and analyze price action during Non-Farm Payroll (NFP) release days. By capturing and displaying high, low, and mid-range levels from these significant market events, traders gain valuable support and resistance reference points that often influence future price movements.
Key Features
Monthly NFP Tracking: Captures and displays the high, low, and mid-range levels for each month's NFP release day
Customizable NFP Dates: Easily set the correct NFP release date for each month of the year
Dynamic Support & Resistance: Identifies the closest NFP levels above and below current price with color-coded boxes
Multi-Timeframe Compatibility: Works seamlessly across intraday, daily, and weekly charts
Comprehensive Visualization Options:
High, low, and mid-range horizontal lines
Price labels with customizable display options
Support and resistance boxes with adjustable opacity and size
NFP range extension boxes showing potential influence zones
Trading Applications
Identify key support and resistance levels based on NFP day price action
Anticipate potential reversal or continuation zones when price approaches historical NFP levels
Develop trading strategies around recurring patterns at NFP price levels
Use as confluence with other technical analysis methods for higher probability trades
Customization
Extensive customization options allow you to:
Adjust color schemes and line styles
Modify box heights and extensions
Show or hide specific elements (high/low lines, midpoint lines, labels, prices)
Set hour offset to match exact NFP release timing
Customize label styles and positions
Perfect for futures, forex, and equity index traders who recognize the significance of NFP releases on market dynamics. The Daily Profiler NFP provides a structured framework for incorporating these major economic events into your technical analysis.
Hedging SimulatorHedging Simulator
The Hedging Simulator is a straightforward hedging tool designed to simulate potential profit and loss outcomes from combined Spot and Futures positions in the cryptocurrency market.
Users can define their equity allocation separately for both spot and futures, allowing for flexible and realistic scenario modelling.
The tool also incorporates MNV (Minimum Notional Value) and MTA (Minimum Trade Amount) parameters to estimate order sizes based on symbol-specific trading rules set by exchanges. While the results may differ slightly from actual exchange calculations, the simulator aims to provide a close approximation for general understanding.
📌Note: Crypto-Only - This tool is designed specifically for cryptocurrency trading and is not intended for use with traditional financial instruments.
Entry Price: Users can input custom entry prices for both spot and futures trades to simulate from specific market positions.
Live Price: The entry price fields for both spot and futures support Live Price based on the currently viewed symbol on your chart.
📌Note: In the real market, spot and futures prices are not always identical—there can be a price gap between them. While the difference is typically small, it's important to understand that the live price shown is only for rough estimation purposes and may not reflect the exact trading price on your chosen exchange.
Expecting Market Price: This represents the projected or target price to simulate potential profit and loss across the hedged position based on market movement.
📌Note: Profit and loss calculations exclude all trading fees. Actual results in live markets may vary due to fees, slippage, and exchange rules.
Feedback: If you notice any bugs, errors on calculation, or have suggestions for better calculations or new features, feel free to share your thoughts. Your feedback helps improve the tool and will be considered for future updates.
⚠️ Disclaimer: This simulator is intended for educational and illustrative purposes only. It does not constitute financial advice or guarantee trading results. Market conditions may vary, and all trading carries inherent risks. Users are solely responsible for any decisions made based on this tool and bear full responsibility for their own trading outcomes.
