Brain Premium [ALGO]💡 Brain Premium ALGO
Brainpremium ALGO is a strategy algorithm that analyzes a two-phase regional liquidity structure and only opens positions on price breakouts occurring within these liquidity zones.
This system is developed based on the market experience of manual traders and automatically executes trade decisions using AI-like rules and specific triggers.
💡 Two-Phase Liquidity-Based Entry Strategy
This strategy operates by detecting liquidity sweep zones and confirmed reversal signals:
🔹 Phase 1 – Liquidity Sweep:
Price is expected to sweep areas where equal highs/lows or liquidity clusters exist. These zones are considered potential reversal levels.
🔹 Phase 2 – Confirmed Entry:
After liquidity is swept, entries are triggered only by confirmed reversal signals such as structural breaks, inside bars, or breakouts in the opposite direction.
✅ Entries are triggered only when liquidity and reversal confirmation occur simultaneously.
🎯 This approach targets high-probability, low-risk trades.
⚙️ Key Features
🔍 Dynamic Liquidity Detection — Automatically identifies liquidity zones.
🧩 Modular Entry Options (1–2–3) — Allows opening positions via different strategy paths.
🛡️ Dynamic Stop Loss System — Stop Loss adjusts as price moves favorably.
📈 Advanced Risk Management — Adjustable Take Profit, Stop Loss, leverage, balance, and mode.
🔔 JSON Alert Support — Connects to platforms like BingX via webhook.
🧾 Information Panel — Displays real-time trade data and strategy status.
📊 Backtest & Default Settings
Strategy tests are conducted with realistic and sustainable parameters:
Parameter Value
Trading Balance: $100 (%10 of total wallet)
Leverage: 10x
Stop Loss: 1%
Take Profit Type : High TP (optional: Low and Risky also available)
Entry Option 1 (optional: 2 and 3 also available)
Mode: NORMAL
Commission 0.05%
Dynamic Stop Loss: Enabled
Timeframe: 5 minute
Pair ETH/USDT
Duration: 30 days
🧭 Usage Instructions
Add Brain Premium ALGO to your TradingView chart.
Set position size, leverage, and SL/TP levels from the settings panel.
Select entry option (1, 2, or 3).
Activate backtesting and alert systems to monitor the strategy.
⚠️ Disclaimer
This strategy is not financial advice. Past performance does not guarantee future results. Trade only with capital you can afford to risk and always test thoroughly in a demo environment first.
"stop loss" için komut dosyalarını ara
ICT Smart Money Trading Suite [SwissAlgo]ICT/Smart Money Trading Suite - Technical Analysis Indicator
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OVERVIEW
The ICT/Smart Money Trading Suite is a technical analysis indicator that implements concepts from Inner Circle Trader (ICT) methodology and Smart Money Concepts (SMC).
ICT methodology was developed by Michael J. Huddleston (ICT) and focuses on understanding Institutional market behavior.
Smart Money Concepts builds upon these ideas to analyze how large Financial Institutions and/or Market Makers seem to operate in the markets.
This indicator combines multiple analytical tools into a single package for market structure analysis, imbalance detection, and the observation of institutional order flow.
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CORE COMPONENTS
Market Structure Analysis:
- External Structure : Major swing highs and lows that define broader price movement (these are the most significant structural points that institutions reference for their positioning and typically require substantial volume and momentum to break)
- Internal Structure : Shorter-term pivots showing micro-trend developments within the External Structure (these internal pivot highs and lows often represent areas where retail traders may be positioned on the wrong side of the market as they frequently form just before major structural breaks or trend continuations, creating liquidity that institutions can utilize)
- Structural Breakout Detection : Identification of structure breaks and potential trend changes ( 'Change of Character' which occurs when the External Structure shifts from bullish to bearish bias or vice-versa indicating a potential major trend reversal, and 'Break of Structure' which happens when price decisively takes out previous significant highs in a bearish trend or previous significant lows in a bullish trend confirming trend continuation or acceleration)
- EMA Cloud : Dynamic support and resistance zones with trend context (additional reference point)
Imbalance Zone Detection:
Fair Value Gaps (FVGs):
Price inefficiencies that occur between candles when sudden price moves create gaps in price delivery
Typically formed when the low of a bullish candle is higher than the high of the candle two periods prior, or when the high of a bearish candle is lower than the low of the candle two periods prior
These gaps represent areas where price moved too quickly without adequate two-way auction process
Institutions may return to fill these inefficiencies at a later time for proper price discovery
The theory suggests that all price ranges should eventually be traded through to complete the auction process
Gaps are automatically removed from the chart when price fully retraces back through the inefficient area
Order Blocks (OBs):
Specific candles that occur immediately before significant market moves and represent institutional decision points
Identified as the last opposing candle before a strong directional move (final bearish candle before major bullish move or final bullish candle before major bearish move)
These candles contain the orders and liquidity that institutions used as a foundation for their market manipulation
Represent areas where large institutional players positioned themselves to move the market significantly
Price may return to these levels to collect additional liquidity or test institutional resolve
The candle's full range (high to low) is considered the active zone where institutional interest may remain
Vector Candle Recovery:
Zones created by high-activity candles that demonstrate unusually large range and volume characteristics
These candles are interpreted as manipulative price pushes designed to hunt liquidity and trigger stop losses
Often used by institutions to induce retail traders into poor positions before reversing direction
Recovery zones represent the full range of these vector candles where price may retrace
The concept assumes that extreme moves often get partially retraced as the market corrects from artificial price displacement
Zones are invalidated when a significant portion of the vector candle range is retraced (typically 50% or more)
Support & Resistance:
Key price zones based on historical price reactions and pivot clustering analysis
Calculated through algorithmic identification of areas where price has repeatedly found buyers (support) or sellers (resistance)
Strength is determined by the number of times price has reacted from these levels and the volume of activity at these zones
Represent psychological and algorithmic reference points where institutional systems are likely to place orders
Create areas of increased probability for price reactions due to concentration of pending orders and decision-making activity
Zones are color-coded based on current price position: green for support (price above), red for resistance (price below), yellow for neutral (price within)
Liquidity Analysis:
- Liquidity Pools : Areas above or below key levels where stop orders may cluster
- Kill Zones : Time-based periods associated with increased market activity
- Daily/Weekly/Monthly Price Levels : Key institutional reference points (price highs/lows)
Vector Candles/Price Manipulation:
Advanced algorithm identifying statistically significant candles using volume delta analysis, range statistics, and persistence scoring.
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VISUAL INTERPRETATION - DETAILED GUIDE
MARKET STRUCTURE
External Structure (Thick Lines):
- Green thick lines: Major support levels (external lows) that define bullish structure
- Red thick lines: Major resistance levels (external highs) that define bearish structure
- These lines represent significant swing points that institutions may reference
- Lines extend from the swing point and update as the structure evolves
Internal Structure (Thin Lines):
- Green thin lines: Minor support levels showing internal market structure
- Red thin lines: Minor resistance levels showing internal market structure
- More frequent updates than external structure, showing micro-trend changes
Structure Markers:
- Small triangles with "H": External pivot highs (major resistance points)
- Small triangles with "L": External pivot lows (major support points)
- Small dots: Internal pivot points (minor structure without text)
- Markers appear with a 20-bar delay to confirm pivot validity
HIGHS/LOWS LEVELS
Daily Levels (Green Dashed Lines):
- Horizontal dashed lines marking the previous day's high and low
- Updates at the start of each new trading day
- Gradient effect shows historical importance (newer = more opaque)
- Acts as institutional reference points for intraday trading
Weekly Levels (White Dashed Lines):
- Horizontal dashed lines marking the previous week's high and low
- Updates at the start of each new trading week
- Typically more significant than daily levels for swing trading
- Often respected by institutional algorithms
Monthly Levels (Orange Dashed Lines):
- Horizontal dashed lines marking the previous month's high and low
- Updates at the start of each new trading month
- Highest significance levels for long-term institutional positioning
- Major psychological and algorithmic reference points
VECTOR CANDLES
Candle Body Coloring System:
- Lime Green Bodies: Ultra-bullish vector candles (Z-score ≥ 3.0)
- Blue Bodies: Abnormal bullish vector candles (Z-score 2.0-2.99)
- Bright Red Bodies: Ultra-bearish vector candles (Z-score ≥ 3.0)
- Purple Bodies: Abnormal bearish vector candles (Z-score 2.0-2.99)
- Faded Green/Red: Normal market activity candles
Vector Identification Criteria:
- Statistical significance based on range and volume delta
- Persistence scoring (how much directional pressure remained)
- ATR-based absolute detection (candles >2x ATR automatically qualify)
- These candles often precede significant market moves or reversals
EMA CLOUD
Purple Cloud Visualization:
- Central line: 50-period EMA (blue line)
- Upper boundary: EMA + dynamic standard deviation band
- Lower boundary: EMA - dynamic standard deviation band
- Cloud fill: Purple semi-transparent area between boundaries
Interpretation:
- Price above cloud: Bullish bias context
- Price below cloud: Bearish bias context
- Price within cloud: Neutral/transitional zone
- Cloud thickness adapts to market volatility automatically
KILL ZONES
Background Highlighting:
- Yellow background tint during active kill zone periods
- London Session: 08:00-11:00 (UTC+1 time)
- NY Open: 13:00-16:00 (UTC+1 time)
- NY Close: 19:00-21:00 (UTC+1 time)
- Times automatically adjust to the chart timezone
Purpose:
- Highlights periods of typically increased institutional activity
- Times when liquidity hunting and manipulation often occur
- Periods when significant directional moves frequently begin
IMBALANCE ZONES - DETAILED BREAKDOWN
Fair Value Gaps (FVGs):
- Green boxes: Bullish FVGs (gap between bear candle high and bull candle low)
- Red boxes: Bearish FVGs (gap between bull candle high and bear candle low)
- Gray dotted lines: Midpoint of each gap (50% retracement level)
- Text label: "Fair Value Gap" in top-right corner
- Auto-removal: Boxes disappear when the price fills the gap
Order Blocks (OBs):
- Green boxes: Bullish order blocks (demand zones from the last bear candle before bullish vector)
- Red boxes: Bearish order blocks (supply zones from the last bull candle before the bearish vector)
- Gray dotted lines: Midpoint of each order block
- Text label: "OB" in top-right corner
- Invalidation: Boxes removed when price breaks below (bull OB) or above (bear OB)
Vector Candles Recovery Zones:
- Green boxes: Recovery zones after bullish vector candles
- Red boxes: Recovery zones after bearish vector candles
- Gray dotted lines: Midpoint of the vector candle range
- Text label: "Vector Recovery" on the right side
- These mark the full range of significant vector candles where retracements may occur
Support & Resistance Zones:
- Green boxes: Support zones (price currently above the zone)
- Red boxes: Resistance zones (price currently below the zone)
- Yellow boxes: Neutral zones (price within the zone)
- Text labels: "Support", "Resistance", or "Support/Resistance"
- Based on historical pivot clustering and strength analysis
Liquidity Pools:
- Green boxes: Bullish liquidity pools (below recent lows where buy stops cluster)
- Red boxes: Bearish liquidity pools (above recent highs where sell stops cluster)
- Gray dotted lines: Key liquidity level within the pool
- Text label: "Liquidity Pool" on the right side
- Zones where institutional players may hunt stop losses before reversing
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CALCULATION METHODOLOGY
Vector Candle Algorithm:
- Statistical Analysis using 48-bar lookback period
- Z-score thresholds: 2.0 (abnormal), 3.0 (ultra)
- ATR-based significance filtering
- Volume Delta Integration with lower timeframe analysis
- Persistence scoring based on directional pressure sustainability
- Combined scoring system (delta + range)
- Absolute Vector Detection for candles exceeding 2x ATR
Market Structure Parameters:
- Swing Size: 20-period pivot detection
- Breakout Threshold: 3 consecutive breaks for structure confirmation
- EMA Length: 50-period with dynamic cloud sizing
Fair Value Gap Detection:
- Auto Threshold: Dynamic gap sizing based on asset volatility
- Manual Threshold: User-defined minimum gap percentage
- Mitigation Logic: Automatic removal when price fills gaps
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TARGET USERS
This indicator is designed for traders who:
- Study Inner Circle Trader concepts
- Apply Smart Money Concepts in their analysis
- Focus on market structure and institutional behavior
- Seek confluence-based trading approaches
- Use higher timeframe bias for decision making
Experience Level: Intermediate to Advanced
Requires understanding of market structure concepts and institutional trading theory.
Recommended Timeframes:
- Analysis: 4H, Daily for market structure context
- Execution: 1H, 15min for entry timing
- Lower timeframes: With higher timeframe alignment
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CUSTOMIZATION OPTIONS
Display Controls:
- Master toggle for all imbalance zones
- Individual controls for each concept type
- Market structure line visibility
- Kill zone highlighting
- EMA cloud display
Visual Settings:
- Automatic light/dark mode color adaptation
- Adjustable zone transparency levels
- Extension distance controls
- Descriptive text labels
Technical Parameters:
- Vector candle sensitivity thresholds
- Historical analysis lookback periods
- Maximum zone display limits
- Zone invalidation conditions
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EDUCATIONAL BACKGROUND
Inner Circle Trader (ICT): A trading methodology developed by Michael J. Huddleston that focuses on understanding how institutional traders and market makers operate. The approach emphasizes market structure, liquidity concepts, and timing based on institutional behavior patterns.
Smart Money Concepts (SMC): An evolution of ICT principles that analyzes how large financial institutions move markets. These concepts include order blocks, fair value gaps, liquidity hunting, and market structure shifts.
Both methodologies are based on the premise that understanding institutional trading behavior can provide insights into market direction and timing.
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IMPORTANT DISCLAIMERS
This indicator is provided for educational and analytical purposes only. It is not financial advice and does not guarantee trading results.
Trading involves substantial risk of loss. Past performance does not indicate future results. Users should thoroughly understand the underlying concepts before applying them to live trading.
The effectiveness of these analytical methods may vary across different market conditions, timeframes, and instruments. Proper risk management and additional analysis are essential.
This indicator is a tool for market analysis, not a complete trading system. Success requires understanding of market principles, risk management, and continuous learning.
Always test analytical approaches thoroughly using historical data and demo accounts before implementing with real capital.
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.
Lot Size Calculator (SL Percentage) - Futures ⚠️ IMPORTANT DISCLAIMER
This indicator is provided for educational and informational purposes only. The author assumes no responsibility for any financial losses, code errors, calculation mistakes, or trading decisions based on this tool. Use at your own risk and responsibility. Always manually verify calculations before opening real positions.
Contract size calculations are based on standard full-size futures contracts, not micro contracts (even though micro contracts are supported for identification).
Description
Money management tool for automatic calculation of optimal contract size (lot size) in futures trading. Supports over 50 futures instruments with pre-configured tick sizes and pip values for CME and other exchanges.
Supported Instruments
Currency Futures: 6J, 6E, 6B, 6A, 6C, 6S, 6N
Index Futures: ES, NQ, YM, RTY, MES, MNQ, MYM, M2K, NKD
Energy: CL, NG, HO, RB, QM
Metals: GC, SI, HG, MGC, SIL
Agricultural: ZC, ZS, ZW, HE, LE, ZO, ZR, ZM, ZL
Interest Rates: ZN, ZB, ZT, ZF
Crypto: MBT, MET
Others: VX
Main Parameters
Equity : Total available capital
Risk : Maximum risk percentage per trade
Stop Loss : Percentage distance of stop loss
Risk/Reward Ratio: Ratio to calculate take profit
Entry Price: Entry price (0 = current price)
Stop Loss Modes
Percentage Stop Loss (Use SL in % = ON):
Automatically calculates SL level as percentage from entry price
Example: Entry 100, SL 2% → Long SL at 98, Short SL at 102
Manual Stop Loss (Use SL in % = OFF):
Enter exact stop loss price directly
Greater precision for specific technical levels (support/resistance)
Interactive feature: You can drag the red stop loss line directly on the chart to modify the level in real-time
How to Use
Set equity and risk % according to your trading plan
Choose direction (Long/Short) and stop loss (percentage or price)
Enter entry price (optional)
Read the CONTRACT SIZE in the green table
Verify levels Entry/SL/TP on the graphic lines
Output
Information table with all parameters and highlighted CONTRACT SIZE
Graphic lines: Entry (blue), Stop Loss (red), Take Profit (green)
Configurable alerts with calculated values
Advantages
✅ Automatic calculation of optimal size
✅ Precise tick sizes for each instrument
✅ Systematic risk management
✅ Clear visual interface
✅ Multi-asset support on futures
Warnings
⚠️ Always verify that the instrument is recognized (no orange warning)
⚠️ Manually check calculations before trading
⚠️ Test in demo before using with real money
⚠️ Update regularly for any contract modifications
⚠️ DISCLAIMER IMPORTANTE
Questo indicatore è fornito esclusivamente a scopo educativo e informativo. L'autore non si assume alcuna responsabilità per eventuali perdite finanziarie, errori nel codice, calcoli errati o decisioni di trading basate su questo strumento. L'utilizzo è a proprio rischio e responsabilità. Si raccomanda di verificare sempre manualmente i calcoli prima di aprire posizioni reali.
I calcoli della dimensione del contratto sono basati su contratti futures standard full-size, non micro contratti (anche se i micro contratti sono supportati per l'identificazione).
Descrizione
Strumento di money management per il calcolo automatico della dimensione ottimale del contratto (lot size) nel trading di futures. Supporta oltre 50 strumenti futures con tick size e pip value pre-configurati per mercati CME e altri exchange.
Strumenti Supportati
Currency Futures: 6J, 6E, 6B, 6A, 6C, 6S, 6N
Index Futures: ES, NQ, YM, RTY, MES, MNQ, MYM, M2K, NKD
Energy: CL, NG, HO, RB, QM
Metals: GC, SI, HG, MGC, SIL
Agricultural: ZC, ZS, ZW, HE, LE, ZO, ZR, ZM, ZL
Interest Rates: ZN, ZB, ZT, ZF
Crypto: MBT, MET
Altri: VX
Parametri Principali
Equity : Capitale totale disponibile
Risk : Percentuale massima di rischio per trade
Stop Loss : Distanza percentuale dello stop loss
Risk/Reward Ratio: Rapporto per calcolare il take profit
Entry Price: Prezzo di entrata (0 = prezzo corrente)
Modalità Stop Loss
Stop Loss Percentuale (Use SL in % = ON):
Calcola automaticamente il livello SL come percentuale dal prezzo di entrata
Esempio: Entry 100, SL 2% → SL Long a 98, SL Short a 102
Stop Loss Manuale (Use SL in % = OFF):
Inserisci direttamente il prezzo esatto dello stop loss
Maggiore precisione per livelli tecnici specifici (supporti/resistenze)
Funzione interattiva: Puoi trascinare direttamente la linea rossa dello stop loss sul grafico per modificare il livello in tempo reale
Come Usare
Imposta equity e risk % secondo il tuo piano di trading
Scegli direzione (Long/Short) e stop loss (percentuale o prezzo)
Inserisci entry price (opzionale)
Leggi il CONTRACT SIZE nella tabella verde
Verifica i livelli Entry/SL/TP sulle linee grafiche
Output
Tabella informativa con tutti i parametri e il CONTRACT SIZE evidenziato
Linee grafiche: Entry (blu), Stop Loss (rosso), Take Profit (verde)
Alert configurabile con i valori calcolati
Vantaggi
✅ Calcolo automatico della size ottimale
✅ Tick size precisi per ogni strumento
✅ Risk management sistematico
✅ Interfaccia visiva chiara
✅ Supporto multi-asset su futures
Avvertenze
⚠️ Verifica sempre che lo strumento sia riconosciuto (no warning arancione)
⚠️ Controlla manualmente i calcoli prima di tradare
⚠️ Testa in demo prima dell'uso con denaro reale
⚠️ Aggiorna regolarmente per eventuali modifiche ai contratti
Initial balance - weeklyWeekly Initial Balance (IB) — Indicator Description
The Weekly Initial Balance (IB) is the price range (High–Low) established during the week’s first trading session (most commonly Monday). You can measure it over the entire day or just the first X hours (e.g. 60 or 120 minutes). Once that session ends, the IB High and IB Low define the key levels where the initial weekly range formed.
Why Measure the Weekly IB?
Week-Opening Sentiment:
Monday’s range often sets the tone for the rest of the week. Trading above the IB High signals bullish control; trading below the IB Low signals bearish control.
Key Liquidity Zones:
Large institutions tend to place orders around these extremes, so you’ll frequently see tests, breakouts, or rejections at these levels.
Support & Resistance:
The IB High and IB Low become natural barriers. Price will often return to them, bounce off them, or break through them—ideal spots for entries and exits.
Volatility Forecast:
The width of the IB (High minus Low) indicates whether to expect a volatile week (wide IB) or a quieter one (narrow IB).
Significance of IB Levels
Breakout:
A clear break above the IB High (for longs) or below the IB Low (for shorts) can ignite a strong trending move.
Fade:
A rejection off the IB High/Low during low momentum (e.g. low volume or pin-bar formations) offers a high-probability reversal trade.
Mid-Point:
The 50% level of the IB range often “magnetizes” price back to it, providing entry points for continuation or reversal strategies.
Three Core Monday IB Strategies
A. Breakout (Open-Range Breakout)
Entry: Wait for 1–2 candles (e.g. 5-minute) to close above IB High (long) or below IB Low (short).
Stop-Loss: A few pips below IB High (long) or above IB Low (short).
Profit-Target: 2–3× your risk (Reward:Risk ≥ 2:1).
Best When: You spot a clear impulse—such as a strong pre-open volume spike or news-driven move.
B. Fade (Reversal at Extremes)
Entry: When price tests IB High but shows weakening momentum (shrinking volume, upper-wick candles), enter short; vice versa for IB Low and longs.
Stop-Loss: Just beyond the IB extreme you’re fading.
Profit-Target: Back toward the IB mid-point (50% level) or all the way to the opposite IB extreme.
Best When: Monday’s action is range-bound and lacks a clear directional trend.
C. Mid-Point Trading
Entry: When price returns to the 50% level of the IB range.
In an up-trend: buy if it bounces off mid-point back toward IB High.
In a down-trend: sell if it reverses off mid-point back toward IB Low.
Stop-Loss: Just below the nearest swing-low (for longs) or above the nearest swing-high (for shorts).
Profit-Target: To the corresponding IB extreme (High or Low).
Best When: You see a strong initial move away from the IB, followed by a pullback to the mid-point.
Usage Steps
Configure your session: Measure IB over your chosen Monday timeframe (whole day or first X hours).
Choose your strategy: Align Breakout, Fade, or Mid-Point entries with the current market context (trend vs. range).
Manage risk: Keep risk per trade ≤ 1% of account and maintain at least a 2:1 Reward:Risk ratio.
Backtest & forward-test: Verify performance over multiple Mondays and in a paper-trading environment before going live.
RSI MSB | QuantMAC📊 RSI MSB | QuantMAC
🎯 Overview
The RSI MSB (Momentum Shifting Bands) represents a groundbreaking fusion of traditional RSI analysis with advanced momentum dynamics and adaptive volatility bands. This sophisticated indicator combines RSI smoothing , relative momentum calculations , and dynamic standard deviation bands to create a powerful oscillator that automatically adapts to changing market conditions, providing superior signal accuracy across different trading environments.
🔧 Key Features
Hybrid RSI-Momentum Engine : Proprietary combination of smoothed RSI with relative momentum analysis
Dynamic Adaptive Bands : Self-adjusting volatility bands that respond to indicator strength
Dual Trading Modes : Flexible Long/Short or Long/Cash strategies for different risk preferences
Advanced Performance Analytics : Comprehensive metrics including Sharpe, Sortino, and Omega ratios
Smart Visual System : Dynamic color coding with 9 professional color schemes
Precision Backtesting : Date range filtering with detailed historical performance analysis
Real-time Signal Generation : Clear entry/exit signals with customizable threshold sensitivity
Position Sizing Intelligence : Half Kelly criterion for optimal risk management
📈 How The MSB Technology Work
The Momentum Shifting Bands technology is built on a revolutionary approach that combines multiple signal sources into one cohesive system:
RSI Foundation : 💪
Calculate traditional RSI using customizable length and source
Apply exponential smoothing to reduce noise and false signals
Normalize values for consistent performance across different timeframes
Momentum Analysis Engine : ⚡
Compute fast and slow momentum using rate of change calculations
Calculate relative momentum by comparing fast vs slow momentum
Normalize momentum values to 0-100 scale for consistency
Apply smoothing to create stable momentum readings
Dynamic Combination : 🔄
The genius of MSB lies in its weighted combination of RSI and momentum signals. The momentum weight parameter allows traders to adjust the balance between RSI stability and momentum responsiveness, creating a hybrid indicator that captures both trend continuation and reversal signals.
Adaptive Band System : 🎯
Calculate dynamic standard deviation multiplier based on indicator strength
Generate upper and lower bands that expand during high volatility periods
Create normalized oscillator that scales between band boundaries
Provide visual reference for overbought/oversold conditions
⚙️ Comprehensive Parameter Control
RSI Settings : 📊
RSI Length: Controls the period for RSI calculation (default: 21)
Source: Price input selection (close, open, high, low, etc.)
RSI Smoothing: Reduces noise in RSI calculations (default: 20)
Momentum Settings : 🔥
Fast Momentum Length: Short-term momentum period (default: 19)
Slow Momentum Length: Long-term momentum period (default: 21)
Momentum Weight: Balance between RSI and momentum (default: 0.6)
Oscillator Settings : ⚙️
Base Length: Foundation moving average for band calculations (default: 40)
Standard Deviation Length: Period for volatility measurement (default: 53)
SD Multiplier: Base band width adjustment (default: 0.7)
Oscillator Multiplier: Scaling factor for oscillator values (default: 100)
Signal Thresholds : 🎯
Long Threshold: Bullish signal trigger level (default: 93)
Short Threshold: Bearish signal trigger level (default: 53)
🎨 Advanced Visual System
Main Chart Elements : 📈
Dynamic Shifting Bands: Upper and lower bands with intelligent transparency
Adaptive Fill Zone: Color-coded area between bands showing current market state
Basis Line: Moving average foundation displayed as subtle reference points
Smart Bar Coloring: Candles change color based on oscillator state for instant visual feedback
Oscillator Pane : 📊
Normalized MSB Oscillator: Main signal line with dynamic coloring based on market state
Threshold Lines: Horizontal reference lines for entry/exit levels
Zero Line: Central reference for oscillator neutrality
Color State Indication: Line colors change based on bullish/bearish conditions
📊 Professional Performance Metrics
The built-in analytics suite provides institutional-grade performance measurement:
Net Profit % : Total strategy return percentage
Maximum Drawdown % : Worst peak-to-trough decline
Win Rate % : Percentage of profitable trades
Profit Factor : Ratio of gross profits to gross losses
Sharpe Ratio : Risk-adjusted return measurement
Sortino Ratio : Downside-focused risk adjustment
Omega Ratio : Probability-weighted performance ratio
Half Kelly % : Optimal position sizing recommendation
Total Trades : Complete transaction count
🎯 Strategic Trading Applications
Long/Short Mode : ⚡
Maximizes profit potential by capturing both upward and downward price movements. The MSB technology helps identify when momentum is building in either direction, allowing for optimal position switches between long and short positions.
Long/Cash Mode : 🛡️
Conservative approach ideal for retirement accounts or risk-averse traders. The indicator's adaptive nature helps identify the best times to be invested versus sitting in cash, protecting capital during adverse market conditions.
🚀 Unique Advantages
Traditional Indicators vs RSI MSB :
Static vs Dynamic: While most indicators use fixed parameters, MSB bands adapt based on indicator strength
Single Signal vs Multi-Signal: Combines RSI reliability with momentum responsiveness
Lagging vs Balanced: Optimized balance between signal speed and accuracy
Simple vs Intelligent: Advanced momentum analysis provides superior market insight
💡 Professional Setup Guide
For Day Trading (Short-term) : 📱
RSI Length: 14-18
RSI Smoothing: 12-15
Momentum Weight: 0.7-0.8
Thresholds: Long 90, Short 55
For Swing Trading (Medium-term) : 📊
RSI Length: 21-25 (default range)
RSI Smoothing: 18-22
Momentum Weight: 0.5-0.7
Thresholds: Long 93, Short 53 (defaults)
For Position Trading (Long-term) : 📈
RSI Length: 25-30
RSI Smoothing: 25-30
Momentum Weight: 0.4-0.6
Thresholds: Long 95, Short 50
🧠 Advanced Trading Techniques
MSB Divergence Analysis : 🔍
Watch for divergences between price action and MSB readings. When price makes new highs/lows but the oscillator doesn't confirm, it often signals upcoming reversals or momentum shifts.
Band Width Interpretation : 📏
Expanding Bands: Increasing volatility, expect larger price moves
Contracting Bands: Decreasing volatility, prepare for potential breakouts
Band Touches: Price touching outer bands often signals reversal opportunities
Multi-Timeframe Analysis : ⏰
Use MSB on higher timeframes for trend direction and lower timeframes for precise entry timing. The momentum component makes it particularly effective for timing entries within established trends.
⚠️ Important Risk Disclaimers
Critical Risk Factors :
Market Conditions: No indicator performs equally well in all market environments
Backtesting Limitations: Historical performance may not reflect future market behavior
Parameter Sensitivity: Different settings may produce significantly different results
Volatility Risk: Momentum-based indicators can be sensitive to extreme market conditions
Capital Risk: Always use appropriate position sizing and stop-loss protection
📚 Educational Benefits
This indicator provides exceptional learning opportunities for understanding:
Advanced RSI analysis and momentum integration techniques
Adaptive indicator design and dynamic band calculations
The relationship between momentum shifts and price movements
Professional risk management using Kelly Criterion principles
Modern oscillator interpretation and multi-signal analysis
🔍 Market Applications
The RSI MSB works effectively across various markets:
Forex : Excellent for currency pair momentum analysis
Stocks : Individual equity and index trading with momentum confirmation
Commodities : Adaptive to commodity market momentum cycles
Cryptocurrencies : Handles extreme volatility with momentum filtering
Futures : Professional derivatives trading applications
🔧 Technical Innovation
The RSI MSB represents advanced research into multi-signal technical analysis. The proprietary momentum-RSI combination has been optimized for:
Computational Efficiency : Fast calculation even on high-frequency data
Signal Clarity : Clear, actionable trading signals with reduced noise
Market Adaptability : Automatic adjustment to changing momentum conditions
Parameter Flexibility : Wide range of customization options for different trading styles
🔔 Updates and Evolution
The RSI MSB | QuantMAC continues to evolve with regular updates incorporating the latest research in momentum-based technical analysis. The comprehensive parameter set allows for extensive customization and optimization across different market conditions.
Past Performance Disclaimer : Past performance results shown by this indicator are hypothetical and not indicative of future results. Market conditions change continuously, and no trading system or methodology can guarantee profits or prevent losses. Historical backtesting may not reflect actual trading conditions including market liquidity, slippage, and fees that would affect real trading results.
Master The Markets With Multi-Signal Intelligence! 🎯📈
TitanGrid L/S SuperEngineTitanGrid L/S SuperEngine
Experimental Trend-Aligned Grid Signal Engine for Long & Short Execution
🔹 Overview
TitanGrid is an advanced, real-time signal engine built around a tactical grid structure.
It manages Long and Short trades using trend-aligned entries, layered scaling, and partial exits.
Unlike traditional strategy() -based scripts, TitanGrid runs as an indicator() , but includes its own full internal simulation engine.
This allows it to track capital, equity, PnL, risk exposure, and trade performance bar-by-bar — effectively simulating a custom backtest, while remaining compatible with real-time alert-based execution systems.
The concept was born from the fusion of two prior systems:
Assassin’s Grid (grid-based execution and structure) + Super 8 (trend-filtering, smart capital logic), both developed under the AssassinsGrid framework.
🔹 Disclaimer
This is an experimental tool intended for research, testing, and educational use.
It does not provide guaranteed outcomes and should not be interpreted as financial advice.
Use with demo or simulated accounts before considering live deployment.
🔹 Execution Logic
Trend direction is filtered through a custom SuperTrend engine. Once confirmed:
• Long entries trigger on pullbacks, exiting progressively as price moves up
• Short entries trigger on rallies, exiting as price declines
Grid levels are spaced by configurable percentage width, and entries scale dynamically.
🔹 Stop Loss Mechanism
TitanGrid uses a dual-layer stop system:
• A static stop per entry, placed at a fixed percentage distance matching the grid width
• A trend reversal exit that closes the entire position if price crosses the SuperTrend in the opposite direction
Stops are triggered once per cycle, ensuring predictable and capital-aware behavior.
🔹 Key Features
• Dual-side grid logic (Long-only, Short-only, or Both)
• SuperTrend filtering to enforce directional bias
• Adjustable grid spacing, scaling, and sizing
• Static and dynamic stop-loss logic
• Partial exits and reset conditions
• Webhook-ready alerts (browser-based automation compatible)
• Internal simulation of equity, PnL, fees, and liquidation levels
• Real-time dashboard for full transparency
🔹 Best Use Cases
TitanGrid performs best in structured or mean-reverting environments.
It is especially well-suited to assets with the behavioral profile of ETH — reactive, trend-intraday, and prone to clean pullback formations.
While adaptable to multiple timeframes, it shows strongest performance on the 15-minute chart , offering a balance of signal frequency and directional clarity.
🔹 License
Published under the Mozilla Public License 2.0 .
You are free to study, adapt, and extend this script.
🔹 Panel Reference
The real-time dashboard displays performance metrics, capital state, and position behavior:
• Asset Type – Automatically detects the instrument class (e.g., Crypto, Stock, Forex) from symbol metadata
• Equity – Total simulated capital: realized PnL + floating PnL + remaining cash
• Available Cash – Capital not currently allocated to any position
• Used Margin – Capital locked in open trades, based on position size and leverage
• Net Profit – Realized gain/loss after commissions and fees
• Raw Net Profit – Gross result before trading costs
• Floating PnL – Unrealized profit or loss from active positions
• ROI – Return on initial capital, including realized and floating PnL. Leverage directly impacts this metric, amplifying both gains and losses relative to account size.
• Long/Short Size & Avg Price – Open position sizes and volume-weighted average entry prices
• Leverage & Liquidation – Simulated effective leverage and projected liquidation level
• Hold – Best-performing hold side (Long or Short) over the session
• Hold Efficiency – Performance efficiency during holding phases, relative to capital used
• Profit Factor – Ratio of gross profits to gross losses (realized)
• Payoff Ratio – Average profit per win / average loss per loss
• Win Rate – Percent of profitable closes (including partial exits)
• Expectancy – Net average result per closed trade
• Max Drawdown – Largest recorded drop in equity during the session
• Commission Paid – Simulated trading costs: maker, taker, funding
• Long / Short Trades – Count of entry signals per side
• Time Trading – Number of bars spent in active positions
• Volume / Month – Extrapolated 30-day trading volume estimate
• Min Capital – Lowest equity level recorded during the session
🔹 Reference Ranges by Strategy Type
Use the following metrics as reference depending on the trading style:
Grid / Mean Reversion
• Profit Factor: 1.2 – 2.0
• Payoff Ratio: 0.5 – 1.2
• Win Rate: 50% – 70% (based on partial exits)
• Expectancy: 0.05% – 0.25%
• Drawdown: Moderate to high
• Commission Impact: High
Trend-Following
• Profit Factor: 1.5 – 3.0
• Payoff Ratio: 1.5 – 3.5
• Win Rate: 30% – 50%
• Expectancy: 0.3% – 1.0%
• Drawdown: Low to moderate
Scalping / High-Frequency
• Profit Factor: 1.1 – 1.6
• Payoff Ratio: 0.3 – 0.8
• Win Rate: 80% – 95%
• Expectancy: 0.01% – 0.05%
• Volume / Month: Very high
Breakout Strategies
• Profit Factor: 1.4 – 2.2
• Payoff Ratio: 1.2 – 2.0
• Win Rate: 35% – 60%
• Expectancy: 0.2% – 0.6%
• Drawdown: Can be sharp after failed breakouts
🔹 Note on Performance Simulation
TitanGrid includes internal accounting of fees, slippage, and funding costs.
While its logic is designed for precision and capital efficiency, performance is naturally affected by exchange commissions.
In frictionless environments (e.g., zero-fee simulation), its high-frequency logic could — in theory — extract substantial micro-edges from the market.
However, real-world conditions introduce limits, and all results should be interpreted accordingly.
Pucci Trend EMA-SMA Crossover with TolerancePucci Trend EMA-SMA Crossover with Tolerance
This indicator helps identify market trends and generates trading signals based on the crossover between an Exponential Moving Average (EMA) and a Simple Moving Average (SMA) with an adjustable tolerance threshold. The signals work as follows:
Buy Signal (B) -> Triggers when the EMA crosses above the SMA, exceeding a user-defined tolerance (in basis points). Optionally, a price filter can require the high or low to be below the EMA for confirmation.
Sell Signal (S) -> Triggers when the SMA crosses above the EMA, exceeding the tolerance. The optional price filter may require the high or low to be above the EMA.
The tolerance helps reduce false signals by requiring a minimum distance between the moving averages before confirming a crossover. The price filter adds an extra confirmation layer by checking if price action respects the EMA level.
Important Notes:
1º No profitability guarantee: This tool is for analysis only and may generate losses.
2º "As Is" disclaimer: Provided without warranties or responsibility for trading outcomes.
3º Use Stop Loss: Users must determine their own risk management.
4º Parameter adjustment needed: Optimal MA periods and tolerance vary by timeframe.
5º Filter impact varies: Enabling/disabling the price filter may improve or worsen performance.
Position Size Calculator ProPosition Size Calculator Pro is a professional risk management tool that helps traders calculate optimal position sizes based on their account size, risk tolerance, and trade setup. The indicator provides real-time calculations with interactive price lines and a comprehensive horizontal table display for quick decision-making.
✨ Key Features
Multiple Entry Modes: Current price, manual price, or interactive buy line
Flexible Stop Loss Options: LOD (Low of Day), manual price, percentage-based, or interactive stop line
Advanced Risk Calculations: Includes brokerage impact and adjusted risk metrics
Interactive Price Lines: Visual buy and stop loss lines with real-time updates
Horizontal Table Display: Compact 2-row table showing all critical metrics
Smart Color Coding: Visual feedback based on risk and allocation levels
Professional UI: Clean, modern interface with intuitive controls
Indian Market Ready: Optimized for Indian trading with ₹ currency display
🔧 Input Parameters
💰 Risk Management
Account Size (₹): Total trading capital (default: 10,00,000)
Risk per Trade (%): Maximum risk percentage per trade (default: 0.25%, range: 0.01-5%)
Brokerage (%): Combined buy and sell brokerage (default: 0.12%, range: 0-2%)
📊 Entry & Stop Loss
Entry Mode: Choose between Current Price, Manual Price, or Buy Line
Manual Entry Price: Custom entry price (when Manual Price selected)
Stop Loss Mode: LOD SL, Manual SL, Manual SL %, or SL Line
Manual Stop Loss: Custom stop loss price
SL Percentage (%): Percentage below entry for stop loss (default: 2%, range: 0.1-20%)
📈 Interactive Lines
Buy Line Price: Interactive buy line (click on chart to set)
Stop Loss Line: Interactive stop loss line (click on chart to set)
Show Lines: Toggle line visibility
🎨 Display Options
Show Table: Toggle calculation table visibility
Table Size: Adjustable from tiny to huge
Position: Top, middle, or bottom placement
Alignment: Left, center, or right alignment
Update Frequency: Real-time or bar close
📊 Calculation Methodology
Position Size Formula
Position Size = (Account Size × Risk %) ÷ (Adjusted Risk per Share)
Risk Calculations
Base Risk: |(Entry Price - Stop Loss)| ÷ Entry Price × 100
Adjusted Risk: Includes brokerage impact on both entry and exit
Risk Amount: Position Size × Base Risk per Share
Brokerage Impact
Entry with Brokerage: Entry Price × (1 + Brokerage% ÷ 200)
Exit with Brokerage: Stop Loss × (1 - Brokerage% ÷ 200)
🎮 How to Use
Basic Setup
Set your account size and risk percentage
Configure brokerage percentage according to your broker
Choose entry and stop loss modes
The calculator automatically updates position size
Interactive Lines Setup
⚠️ IMPORTANT: After selecting line modes, refresh the chart to ensure lines are visible
For Buy Line:
Select Entry Mode: "Buy Line"
Set "Buy Line Price" or leave 0 for current price
Refresh chart to see the green buy line
Adjust price by clicking on chart or changing input value
For Stop Loss Line:
Select Stop Loss Mode: "SL Line"
Set "Stop Loss Line" or leave 0 for current low
Refresh chart to see the red stop loss line
Adjust price by clicking on chart or changing input value
Table Information
The horizontal calculation table displays:
SL: Stop Loss price
Entry: Entry price level
Risk%: Adjusted risk percentage (with brokerage)
SL%: Base stop loss risk percentage
Cap%: Account risk percentage setting
Qty: Recommended quantity to buy
Investment: Total investment amount required
Alloc%: Portfolio allocation percentage
Risk ₹: Total risk amount in Rupees
Color Coding Guide
Green Values: Positive/profitable metrics
Red Values: Risk/loss related metrics
Orange Values: Warning levels (high risk/allocation)
Blue Headers: Table headers
Bright Green Line: Buy line with target icon
Bright Red Line: Stop loss line with shield icon
🚨 Alert Conditions
Built-in Alerts
High Allocation Warning: Triggers when position exceeds 20% of account
High Risk Warning: Triggers when stop loss risk exceeds 5%
Invalid Position: Triggers when calculation parameters are invalid
Setting Up Alerts
Click "Add Alert" on the chart
Select "Position Size Calculator Pro"
Choose desired alert condition
Configure notification settings
⚠️ Important Notes & Troubleshooting
Interactive Lines
Lines not visible? Refresh the chart after selecting line modes
Lines moving together? Each line operates independently - check you're adjusting the correct price input
Default behavior: Buy line starts at current price, Stop line starts at current low
Price = 0: Uses automatic defaults (current price/low)
Risk Disclaimers
This tool is for educational purposes only
Always verify calculations independently
Consider market conditions, gaps, and liquidity
Past performance doesn't guarantee future results
Technical Limitations
Interactive lines require chart refresh for initial visibility
Calculations update based on selected frequency
Maximum 10 lines and 10 labels on chart simultaneously
Best Practices
Always set realistic account size
Never risk more than you can afford to lose
Consider slippage and market gaps in volatile conditions
Review calculations before placing actual trades
Use appropriate position sizing for your trading strategy
Refresh chart when switching between line modes
🛠️ Technical Requirements
TradingView account (any tier)
Pine Script v6 compatibility
Modern browser for interactive features
Real-time or delayed data feed
📈 Performance Features
The script includes several optimizations:
Efficient calculation updates based on frequency setting
Smart memory management for line drawings
Conditional table updates to reduce resource usage
Optimized number formatting for better readability
🎯 Use Cases
Day Trading
Quick position sizing for intraday setups
Real-time risk assessment
Interactive line placement for entry/exit planning
Swing Trading
Portfolio allocation management
Multi-timeframe risk analysis
Position size optimization for longer holds
Investment Planning
Capital allocation for stock purchases
Risk-based position sizing
Long-term portfolio management
Disclaimer: This tool is for educational and informational purposes only. Trading involves substantial risk of loss and is not suitable for all investors. Always conduct your own research and consider seeking advice from qualified financial professionals.
Opening Range BreakoutOPENING RANGE BREAKOUT (ORB) INDICATOR
DESCRIPTION
The Opening Range Breakout indicator is a powerful technical analysis tool designed specifically for US equity markets. It identifies and visualizes the opening range established during the first configurable minutes of each trading day (starting at 9:30 AM EST), then provides clear signals when price breaks out of or rejects from these key levels.
This indicator combines multiple timeframe analysis capabilities with precise breakout detection to help traders identify high-probability trading opportunities based on opening range dynamics.
KEY FEATURES
Configurable Opening Range:
• Set opening range duration from 5 minutes to 4 hours
• Automatically adjusts calculations based on your chart timeframe
• Works on any timeframe (1m, 5m, 15m, 1h, etc.)
Multi-Day Range Display:
• Shows up to 50 days of historical opening ranges
• Each day's range properly contained within its trading session
• Range lines extend from market open (9:30 AM) to market close (4:00 PM EST)
Clear Signal System:
• Green arrows (⬆): Bullish breakouts and rejections
• Red arrows (⬇): Bearish breakouts and rejections
• Two signal types: Close breakouts (normal size) and wick rejections (small size)
Visual Range Highlighting:
• Opening range period highlighted with colored box
• Customizable colors for range fill, borders, and midline
• Clean, professional appearance with configurable line styles
SIGNAL TYPES
Bullish Signals (Green ⬆):
1. Close Breakout Above Range (Normal Size): 5-minute candle closes above the opening range high
2. Wick Rejection from Below (Small Size): Price wicks below the opening range low but closes back inside the range
Bearish Signals (Red ⬇):
1. Close Breakout Below Range (Normal Size): 5-minute candle closes below the opening range low
2. Wick Rejection from Above (Small Size): Price wicks above the opening range high but closes back inside the range
CONFIGURATION OPTIONS
Range Settings:
• Opening Range Minutes: Duration of opening range (default: 30 minutes)
• Lookback Days: Number of historical days to display (default: 20 days)
Visual Customization:
• Range Color: Fill color for the opening range area
• Border Color: Color for range high/low lines
• Midline Color: Color for the range midpoint line
• Opening Range Highlight Color: Color for the opening period box
• Line Style: Solid, Dashed, or Dotted lines
• Line Width: 1-4 pixel width options
Display Options:
• Show Midline: Toggle midpoint line display
• Show Range Labels: Toggle price level labels
• Arrow Distance: Adjust arrow positioning (0.1-2.0%)
USAGE GUIDE
Basic Setup:
1. Add the indicator to your chart (works best on 5-minute timeframe)
2. Configure your preferred opening range duration (15m, 30m, or 60m are popular choices)
3. Adjust lookback days based on your analysis needs
4. Customize colors and line styles to match your chart theme
Trading Applications:
Breakout Trading:
• Long Entry: Green arrow (close breakout above range) + confirmation
• Short Entry: Red arrow (close breakout below range) + confirmation
• Stop Loss: Opposite side of the opening range
• Target: 1-2x the range size or key support/resistance levels
Range Rejection Trading:
• Reversal Setups: Small arrows indicate failed breakouts
• Mean Reversion: Trade back toward range midline
• Support/Resistance: Use range levels as key price zones
Multi-Day Analysis:
• Identify recurring support/resistance levels
• Analyze range expansion/contraction patterns
• Compare current day's activity to recent history
BEST PRACTICES
1. Timeframe Selection: 5-minute charts provide optimal signal clarity
2. Range Duration: 30-minute opening range is most commonly used, but adjust based on:
- Market volatility
- Stock characteristics
- Trading style preference
3. Confirmation: Use additional indicators or price action for trade confirmation
4. Risk Management: Always use appropriate position sizing and stop losses
MARKET SESSIONS
The indicator is specifically designed for US equity markets:
• Market Open: 9:30 AM EST
• Market Close: 4:00 PM EST
• Opening Range: Calculated from market open
• Range Lines: Extend throughout the trading day only
PERFORMANCE NOTES
• Optimized for real-time trading with minimal lag
• Automatically manages memory by cleaning old ranges
• Efficiently handles multiple timeframes and range calculations
KNOWN ISSUES & WORKAROUNDS
Historical Buffer Error:
Issue: Occasionally, you may encounter an error: "The requested historical offset (XXX) is beyond the historical buffer's limit (770)"
Workaround:
1. Switch to a different timeframe temporarily
2. Switch back to your original timeframe
3. The indicator will reload and function normally
This is a Pine Script limitation related to historical data access and doesn't affect the indicator's core functionality.
COMPATIBILITY
• Pine Script Version: v6
• Chart Types: All chart types supported
• Timeframes: All timeframes (optimized for 1m-1h)
• Markets: Designed for US equity markets during regular trading hours
TIPS FOR MAXIMUM EFFECTIVENESS
1. Combine with Volume: High volume on breakouts increases reliability
2. Market Context: Consider overall market direction and volatility
3. News Awareness: Be cautious around earnings and major announcements
4. Range Quality: Wider ranges often provide better breakout opportunities
5. Time of Day: Early breakouts (first 1-2 hours) often have higher follow-through
This indicator is provided for educational and informational purposes. Always conduct your own analysis and manage risk appropriately.
Bober XM v2.0# ₿ober XM v2.0 Trading Bot Documentation
**Developer's Note**: While our previous Bot 1.3.1 was removed due to guideline violations, this setback only fueled our determination to create something even better. Rising from this challenge, Bober XM 2.0 emerges not just as an update, but as a complete reimagining with multi-timeframe analysis, enhanced filters, and superior adaptability. This adversity pushed us to innovate further and deliver a strategy that's smarter, more agile, and more powerful than ever before. Challenges create opportunity - welcome to Cryptobeat's finest work yet.
## !!!!You need to tune it for your own pair and timeframe and retune it periodicaly!!!!!
## Overview
The ₿ober XM v2.0 is an advanced dual-channel trading bot with multi-timeframe analysis capabilities. It integrates multiple technical indicators, customizable risk management, and advanced order execution via webhook for automated trading. The bot's distinctive feature is its separate channel systems for long and short positions, allowing for asymmetric trade strategies that adapt to different market conditions across multiple timeframes.
### Key Features
- **Multi-Timeframe Analysis**: Analyze price data across multiple timeframes simultaneously
- **Dual Channel System**: Separate parameter sets for long and short positions
- **Advanced Entry Filters**: RSI, Volatility, Volume, Bollinger Bands, and KEMAD filters
- **Machine Learning Moving Average**: Adaptive prediction-based channels
- **Multiple Entry Strategies**: Breakout, Pullback, and Mean Reversion modes
- **Risk Management**: Customizable stop-loss, take-profit, and trailing stop settings
- **Webhook Integration**: Compatible with external trading bots and platforms
### Strategy Components
| Component | Description |
|---------|-------------|
| **Dual Channel Trading** | Uses either Keltner Channels or Machine Learning Moving Average (MLMA) with separate settings for long and short positions |
| **MLMA Implementation** | Machine learning algorithm that predicts future price movements and creates adaptive bands |
| **Pivot Point SuperTrend** | Trend identification and confirmation system based on pivot points |
| **Three Entry Strategies** | Choose between Breakout, Pullback, or Mean Reversion approaches |
| **Advanced Filter System** | Multiple customizable filters with multi-timeframe support to avoid false signals |
| **Custom Exit Logic** | Exits based on OBV crossover of its moving average combined with pivot trend changes |
### Note for Novice Users
This is a fully featured real trading bot and can be tweaked for any ticker — SOL is just an example. It follows this structure:
1. **Indicator** – gives the initial signal
2. **Entry strategy** – decides when to open a trade
3. **Exit strategy** – defines when to close it
4. **Trend confirmation** – ensures the trade follows the market direction
5. **Filters** – cuts out noise and avoids weak setups
6. **Risk management** – controls losses and protects your capital
To tune it for a different pair, you'll need to start from scratch:
1. Select the timeframe (candle size)
2. Turn off all filters and trend entry/exit confirmations
3. Choose a channel type, channel source and entry strategy
4. Adjust risk parameters
5. Tune long and short settings for the channel
6. Fine-tune the Pivot Point Supertrend and Main Exit condition OBV
This will generate a lot of signals and activity on the chart. Your next task is to find the right combination of filters and settings to reduce noise and tune it for profitability.
### Default Strategy values
Default values are tuned for: Symbol BITGET:SOLUSDT.P 5min candle
Filters are off by default: Try to play with it to understand how it works
## Configuration Guide
### General Settings
| Setting | Description | Default Value |
|---------|-------------|---------------|
| **Long Positions** | Enable or disable long trades | Enabled |
| **Short Positions** | Enable or disable short trades | Enabled |
| **Risk/Reward Area** | Visual display of stop-loss and take-profit zones | Enabled |
| **Long Entry Source** | Price data used for long entry signals | hl2 (High+Low/2) |
| **Short Entry Source** | Price data used for short entry signals | hl2 (High+Low/2) |
The bot allows you to trade long positions, short positions, or both simultaneously. Each direction has its own set of parameters, allowing for fine-tuned strategies that recognize the asymmetric nature of market movements.
### Multi-Timeframe Settings
1. **Enable Multi-Timeframe Analysis**: Toggle 'Enable Multi-Timeframe Analysis' in the Multi-Timeframe Settings section
2. **Configure Timeframes**: Set appropriate higher timeframes based on your trading style:
- Timeframe 1: Default is now 15 minutes (intraday confirmation)
- Timeframe 2: Default is 4 hours (trend direction)
3. **Select Sources per Indicator**: For each indicator (RSI, KEMAD, Volume, etc.), choose:
- The desired timeframe (current, mtf1, or mtf2)
- The appropriate price type (open, high, low, close, hl2, hlc3, ohlc4)
### Entry Strategies
- **Breakout**: Enter when price breaks above/below the channel
- **Pullback**: Enter when price pulls back to the channel
- **Mean Reversion**: Enter when price is extended from the channel
You can enable different strategies for long and short positions.
### Core Components
### Risk Management
- **Position Size**: Control risk with percentage-based position sizing
- **Stop Loss Options**:
- Fixed: Set a specific price or percentage from entry
- ATR-based: Dynamic stop-loss based on market volatility
- Swing: Uses recent swing high/low points
- **Take Profit**: Multiple targets with percentage allocation
- **Trailing Stop**: Dynamic stop that follows price movement
## Advanced Usage Strategies
### Moving Average Type Selection Guide
- **SMA**: More stable in choppy markets, good for higher timeframes
- **EMA/WMA**: More responsive to recent price changes, better for entry signals
- **VWMA**: Adds volume weighting for stronger trends, use with Volume filter
- **HMA**: Balance between responsiveness and noise reduction, good for volatile markets
### Multi-Timeframe Strategy Approaches
- **Trend Confirmation**: Use higher timeframe RSI (mtf2) for overall trend, current timeframe for entries
- **Entry Precision**: Use KEMAD on current timeframe with volume filter on mtf1
- **False Signal Reduction**: Apply RSI filter on mtf1 with strict KEMAD settings
### Market Condition Optimization
| Market Condition | Recommended Settings |
|------------------|----------------------|
| **Trending** | Use Breakout strategy with KEMAD filter on higher timeframe |
| **Ranging** | Use Mean Reversion with strict RSI filter (mtf1) |
| **Volatile** | Increase ATR multipliers, use HMA for moving averages |
| **Low Volatility** | Decrease noise parameters, use pullback strategy |
## Webhook Integration
The strategy features a professional webhook system that allows direct connectivity to your exchange or trading platform of choice through third-party services like 3commas, Alertatron, or Autoview.
The webhook payload includes all necessary parameters for automated execution:
- Entry price and direction
- Stop loss and take profit levels
- Position size
- Custom identifier for webhook routing
## Performance Optimization Tips
1. **Start with Defaults**: Begin with the default settings for your timeframe before customizing
2. **Adjust One Component at a Time**: Make incremental changes and test the impact
3. **Match MA Types to Market Conditions**: Use appropriate moving average types based on the Market Condition Optimization table
4. **Timeframe Synergy**: Create logical relationships between timeframes (e.g., 5min chart with 15min and 4h higher timeframes)
5. **Periodic Retuning**: Markets evolve - regularly review and adjust parameters
## Common Setups
### Crypto Trend-Following
- MLMA with EMA or HMA
- Higher RSI thresholds (75/25)
- KEMAD filter on mtf1
- Breakout entry strategy
### Stock Swing Trading
- MLMA with SMA for stability
- Volume filter with higher threshold
- KEMAD with increased filter order
- Pullback entry strategy
### Forex Scalping
- MLMA with WMA and lower noise parameter
- RSI filter on current timeframe
- Use highest timeframe for trend direction only
- Mean Reversion strategy
## Webhook Configuration
- **Benefits**:
- Automated trade execution without manual intervention
- Immediate response to market conditions
- Consistent execution of your strategy
- **Implementation Notes**:
- Requires proper webhook configuration on your exchange or platform
- Test thoroughly with small position sizes before full deployment
- Consider latency between signal generation and execution
### Backtesting Period
Define a specific historical period to evaluate the bot's performance:
| Setting | Description | Default Value |
|---------|-------------|---------------|
| **Start Date** | Beginning of backtest period | January 1, 2025 |
| **End Date** | End of backtest period | December 31, 2026 |
- **Best Practice**: Test across different market conditions (bull markets, bear markets, sideways markets)
- **Limitation**: Past performance doesn't guarantee future results
## Entry and Exit Strategies
### Dual-Channel System
A key innovation of the Bober XM is its dual-channel approach:
- **Independent Parameters**: Each trade direction has its own channel settings
- **Asymmetric Trading**: Recognizes that markets often behave differently in uptrends versus downtrends
- **Optimized Performance**: Fine-tune settings for both bullish and bearish conditions
This approach allows the bot to adapt to the natural asymmetry of markets, where uptrends often develop gradually while downtrends can be sharp and sudden.
### Channel Types
#### 1. Keltner Channels
Traditional volatility-based channels using EMA and ATR:
| Setting | Long Default | Short Default |
|---------|--------------|---------------|
| **EMA Length** | 37 | 20 |
| **ATR Length** | 13 | 17 |
| **Multiplier** | 1.4 | 1.9 |
| **Source** | low | high |
- **Strengths**:
- Reliable in trending markets
- Less prone to whipsaws than Bollinger Bands
- Clear visual representation of volatility
- **Weaknesses**:
- Can lag during rapid market changes
- Less effective in choppy, non-trending markets
#### 2. Machine Learning Moving Average (MLMA)
Advanced predictive model using kernel regression (RBF kernel):
| Setting | Description | Options |
|---------|-------------|--------|
| **Source MA** | Price data used for MA calculations | Any price source (low/high/close/etc.) |
| **Moving Average Type** | Type of MA algorithm for calculations | SMA, EMA, WMA, VWMA, RMA, HMA |
| **Trend Source** | Price data used for trend determination | Any price source (close default) |
| **Window Size** | Historical window for MLMA calculations | 5+ (default: 16) |
| **Forecast Length** | Number of bars to forecast ahead | 1+ (default: 3) |
| **Noise Parameter** | Controls smoothness of prediction | 0.01+ (default: ~0.43) |
| **Band Multiplier** | Multiplier for channel width | 0.1+ (default: 0.5-0.6) |
- **Strengths**:
- Predictive rather than reactive
- Adapts quickly to changing market conditions
- Better at identifying trend reversals early
- **Weaknesses**:
- More computationally intensive
- Requires careful parameter tuning
- Can be sensitive to input data quality
### Entry Strategies
| Strategy | Description | Ideal Market Conditions |
|----------|-------------|-------------------------|
| **Breakout** | Enters when price breaks through channel bands, indicating strong momentum | High volatility, emerging trends |
| **Pullback** | Enters when price retraces to the middle band after testing extremes | Established trends with regular pullbacks |
| **Mean Reversion** | Enters at channel extremes, betting on a return to the mean | Range-bound or oscillating markets |
#### Breakout Strategy (Default)
- **Implementation**: Enters long when price crosses above the upper band, short when price crosses below the lower band
- **Strengths**: Captures strong momentum moves, performs well in trending markets
- **Weaknesses**: Can lead to late entries, higher risk of false breakouts
- **Optimization Tips**:
- Increase channel multiplier for fewer but more reliable signals
- Combine with volume confirmation for better accuracy
#### Pullback Strategy
- **Implementation**: Enters long when price pulls back to middle band during uptrend, short during downtrend pullbacks
- **Strengths**: Better entry prices, lower risk, higher probability setups
- **Weaknesses**: Misses some strong moves, requires clear trend identification
- **Optimization Tips**:
- Use with trend filters to confirm overall direction
- Adjust middle band calculation for market volatility
#### Mean Reversion Strategy
- **Implementation**: Enters long at lower band, short at upper band, expecting price to revert to the mean
- **Strengths**: Excellent entry prices, works well in ranging markets
- **Weaknesses**: Dangerous in strong trends, can lead to fighting the trend
- **Optimization Tips**:
- Implement strong trend filters to avoid counter-trend trades
- Use smaller position sizes due to higher risk nature
### Confirmation Indicators
#### Pivot Point SuperTrend
Combines pivot points with ATR-based SuperTrend for trend confirmation:
| Setting | Default Value |
|---------|---------------|
| **Pivot Period** | 25 |
| **ATR Factor** | 2.2 |
| **ATR Period** | 41 |
- **Function**: Identifies significant market turning points and confirms trend direction
- **Implementation**: Requires price to respect the SuperTrend line for trade confirmation
#### Weighted Moving Average (WMA)
Provides additional confirmation layer for entries:
| Setting | Default Value |
|---------|---------------|
| **Period** | 15 |
| **Source** | ohlc4 (average of Open, High, Low, Close) |
- **Function**: Confirms trend direction and filters out low-quality signals
- **Implementation**: Price must be above WMA for longs, below for shorts
### Exit Strategies
#### On-Balance Volume (OBV) Based Exits
Uses volume flow to identify potential reversals:
| Setting | Default Value |
|---------|---------------|
| **Source** | ohlc4 |
| **MA Type** | HMA (Options: SMA, EMA, WMA, RMA, VWMA, HMA) |
| **Period** | 22 |
- **Function**: Identifies divergences between price and volume to exit before reversals
- **Implementation**: Exits when OBV crosses its moving average in the opposite direction
- **Customizable MA Type**: Different MA types provide varying sensitivity to OBV changes:
- **SMA**: Traditional simple average, equal weight to all periods
- **EMA**: More weight to recent data, responds faster to price changes
- **WMA**: Weighted by recency, smoother than EMA
- **RMA**: Similar to EMA but smoother, reduces noise
- **VWMA**: Factors in volume, helpful for OBV confirmation
- **HMA**: Reduces lag while maintaining smoothness (default)
#### ADX Exit Confirmation
Uses Average Directional Index to confirm trend exhaustion:
| Setting | Default Value |
|---------|---------------|
| **ADX Threshold** | 35 |
| **ADX Smoothing** | 60 |
| **DI Length** | 60 |
- **Function**: Confirms trend weakness before exiting positions
- **Implementation**: Requires ADX to drop below threshold or DI lines to cross
## Filter System
### RSI Filter
- **Function**: Controls entries based on momentum conditions
- **Parameters**:
- Period: 15 (default)
- Overbought level: 71
- Oversold level: 23
- Multi-timeframe support: Current, MTF1 (15min), or MTF2 (4h)
- Customizable price source (open, high, low, close, hl2, hlc3, ohlc4)
- **Implementation**: Blocks long entries when RSI > overbought, short entries when RSI < oversold
### Volatility Filter
- **Function**: Prevents trading during excessive market volatility
- **Parameters**:
- Measure: ATR (Average True Range)
- Period: Customizable (default varies by timeframe)
- Threshold: Adjustable multiplier
- Multi-timeframe support
- Customizable price source
- **Implementation**: Blocks trades when current volatility exceeds threshold × average volatility
### Volume Filter
- **Function**: Ensures adequate market liquidity for trades
- **Parameters**:
- Threshold: 0.4× average (default)
- Measurement period: 5 (default)
- Moving average type: Customizable (HMA default)
- Multi-timeframe support
- Customizable price source
- **Implementation**: Requires current volume to exceed threshold × average volume
### Bollinger Bands Filter
- **Function**: Controls entries based on price relative to statistical boundaries
- **Parameters**:
- Period: Customizable
- Standard deviation multiplier: Adjustable
- Moving average type: Customizable
- Multi-timeframe support
- Customizable price source
- **Implementation**: Can require price to be within bands or breaking out of bands depending on strategy
### KEMAD Filter (Kalman EMA Distance)
- **Function**: Advanced trend confirmation using Kalman filter algorithm
- **Parameters**:
- Process Noise: 0.35 (controls smoothness)
- Measurement Noise: 24 (controls reactivity)
- Filter Order: 6 (higher = more smoothing)
- ATR Length: 8 (for bandwidth calculation)
- Upper Multiplier: 2.0 (for long signals)
- Lower Multiplier: 2.7 (for short signals)
- Multi-timeframe support
- Customizable visual indicators
- **Implementation**: Generates signals based on price position relative to Kalman-filtered EMA bands
## Risk Management System
### Position Sizing
Automatically calculates position size based on account equity and risk parameters:
| Setting | Default Value |
|---------|---------------|
| **Risk % of Equity** | 50% |
- **Implementation**:
- Position size = (Account equity × Risk %) ÷ (Entry price × Stop loss distance)
- Adjusts automatically based on volatility and stop placement
- **Best Practices**:
- Start with lower risk percentages (1-2%) until strategy is proven
- Consider reducing risk during high volatility periods
### Stop-Loss Methods
Multiple stop-loss calculation methods with separate configurations for long and short positions:
| Method | Description | Configuration |
|--------|-------------|---------------|
| **ATR-Based** | Dynamic stops based on volatility | ATR Period: 14, Multiplier: 2.0 |
| **Percentage** | Fixed percentage from entry | Long: 1.5%, Short: 1.5% |
| **PIP-Based** | Fixed currency unit distance | 10.0 pips |
- **Implementation Notes**:
- ATR-based stops adapt to changing market volatility
- Percentage stops maintain consistent risk exposure
- PIP-based stops provide precise control in stable markets
### Trailing Stops
Locks in profits by adjusting stop-loss levels as price moves favorably:
| Setting | Default Value |
|---------|---------------|
| **Stop-Loss %** | 1.5% |
| **Activation Threshold** | 2.1% |
| **Trailing Distance** | 1.4% |
- **Implementation**:
- Initial stop remains fixed until profit reaches activation threshold
- Once activated, stop follows price at specified distance
- Locks in profit while allowing room for normal price fluctuations
### Risk-Reward Parameters
Defines the relationship between risk and potential reward:
| Setting | Default Value |
|---------|---------------|
| **Risk-Reward Ratio** | 1.4 |
| **Take Profit %** | 2.4% |
| **Stop-Loss %** | 1.5% |
- **Implementation**:
- Take profit distance = Stop loss distance × Risk-reward ratio
- Higher ratios require fewer winning trades for profitability
- Lower ratios increase win rate but reduce average profit
### Filter Combinations
The strategy allows for simultaneous application of multiple filters:
- **Recommended Combinations**:
- Trending markets: RSI + KEMAD filters
- Ranging markets: Bollinger Bands + Volatility filters
- All markets: Volume filter as minimum requirement
- **Performance Impact**:
- Each additional filter reduces the number of trades
- Quality of remaining trades typically improves
- Optimal combination depends on market conditions and timeframe
### Multi-Timeframe Filter Applications
| Filter Type | Current Timeframe | MTF1 (15min) | MTF2 (4h) |
|-------------|-------------------|-------------|------------|
| RSI | Quick entries/exits | Intraday trend | Overall trend |
| Volume | Immediate liquidity | Sustained support | Market participation |
| Volatility | Entry timing | Short-term risk | Regime changes |
| KEMAD | Precise signals | Trend confirmation | Major reversals |
## Visual Indicators and Chart Analysis
The bot provides comprehensive visual feedback on the chart:
- **Channel Bands**: Keltner or MLMA bands showing potential support/resistance
- **Pivot SuperTrend**: Colored line showing trend direction and potential reversal points
- **Entry/Exit Markers**: Annotations showing actual trade entries and exits
- **Risk/Reward Zones**: Visual representation of stop-loss and take-profit levels
These visual elements allow for:
- Real-time strategy assessment
- Post-trade analysis and optimization
- Educational understanding of the strategy logic
## Implementation Guide
### TradingView Setup
1. Load the script in TradingView Pine Editor
2. Apply to your preferred chart and timeframe
3. Adjust parameters based on your trading preferences
4. Enable alerts for webhook integration
### Webhook Integration
1. Configure webhook URL in TradingView alerts
2. Set up receiving endpoint on your trading platform
3. Define message format matching the bot's output
4. Test with small position sizes before full deployment
### Optimization Process
1. Backtest across different market conditions
2. Identify parameter sensitivity through multiple tests
3. Focus on risk management parameters first
4. Fine-tune entry/exit conditions based on performance metrics
5. Validate with out-of-sample testing
## Performance Considerations
### Strengths
- Adaptability to different market conditions through dual channels
- Multiple layers of confirmation reducing false signals
- Comprehensive risk management protecting capital
- Machine learning integration for predictive edge
### Limitations
- Complex parameter set requiring careful optimization
- Potential over-optimization risk with so many variables
- Computational intensity of MLMA calculations
- Dependency on proper webhook configuration for execution
### Best Practices
- Start with conservative risk settings (1-2% of equity)
- Test thoroughly in demo environment before live trading
- Monitor performance regularly and adjust parameters
- Consider market regime changes when evaluating results
## Conclusion
The ₿ober XM v2.0 represents a significant evolution in trading strategy design, combining traditional technical analysis with machine learning elements and multi-timeframe analysis. The core strength of this system lies in its adaptability and recognition of market asymmetry.
### Market Asymmetry and Adaptive Approach
The strategy acknowledges a fundamental truth about markets: bullish and bearish phases behave differently and should be treated as distinct environments. The dual-channel system with separate parameters for long and short positions directly addresses this asymmetry, allowing for optimized performance regardless of market direction.
### Targeted Backtesting Philosophy
It's counterproductive to run backtests over excessively long periods. Markets evolve continuously, and strategies that worked in previous market regimes may be ineffective in current conditions. Instead:
- Test specific market phases separately (bull markets, bear markets, range-bound periods)
- Regularly re-optimize parameters as market conditions change
- Focus on recent performance with higher weight than historical results
- Test across multiple timeframes to ensure robustness
### Multi-Timeframe Analysis as a Game-Changer
The integration of multi-timeframe analysis fundamentally transforms the strategy's effectiveness:
- **Increased Safety**: Higher timeframe confirmations reduce false signals and improve trade quality
- **Context Awareness**: Decisions made with awareness of larger trends reduce adverse entries
- **Adaptable Precision**: Apply strict filters on lower timeframes while maintaining awareness of broader conditions
- **Reduced Noise**: Higher timeframe data naturally filters market noise that can trigger poor entries
The ₿ober XM v2.0 provides traders with a framework that acknowledges market complexity while offering practical tools to navigate it. With proper setup, realistic expectations, and attention to changing market conditions, it delivers a sophisticated approach to systematic trading that can be continuously refined and optimized.
Position Size CalculatorPosition Size Calculator - User Guide
A simple tool to calculate optimal position size based on your risk preferences, visualize trade levels, and automatically determine trade direction.
Introduction
The Position Size Calculator is a TradingView indicator designed to help traders calculate the optimal position size for their trades based on account size and risk tolerance. This tool visually represents entry, stop loss, and take profit levels while automatically calculating the appropriate position size to maintain consistent risk management.
Getting Started
Setting Up Your Account Parameters
Setting Price Levels
Understanding the Visual Elements
Adjusting Your Trade on the Chart
Reading the Information Panel
1. Getting Started
After adding the indicator to your chart, you'll see three horizontal lines representing:
Yellow line: Entry price
Green line: Take profit price
Red line: Stop loss price
The indicator automatically detects whether you're planning a Long or Short trade based on the position of your take profit relative to your entry.
2. Setting Up Your Account Parameters
In the "Position Calculator" settings group:
Account Size : Enter your total account balance
Account Currency : Set your account currency (USD, EUR, etc.)
Risk (%) : Enter the percentage of your account you're willing to risk per trade (e.g., 2%)
Instrument Type : Select your trading instrument (Forex, Futures, Stocks, or Crypto)
Value per 0.01 lot per tick : Enter the value of 0.01 lots per tick (for most Forex pairs, this is $1 per pip for 0.01 lot)
Minimum Lot Size : Set the minimum lot size allowed by your broker (usually 0.01 for Forex)
3. Setting Price Levels
In the "Price Levels" section:
Entry Price : The price at which you plan to enter the trade
Stop Loss Price : Where you'll exit if the trade goes against you
Take Profit Price : Your target price where you'll take profits
If you set Entry Price to 0, it will default to the current price. If Stop Loss or Take Profit are set to 0, they'll default to 5% below or above entry price respectively.
4. Understanding the Visual Elements
Yellow line : Your entry price
Green line : Your take profit level
Red line : Your stop loss level
Green zone : The profit zone (between entry and take profit)
Red zone : The loss zone (between entry and stop loss)
Information panel : Shows all calculations and trade details
5. Adjusting Your Trade on the Chart
The beauty of this tool is its interactivity:
You can drag any of the lines directly on the chart to adjust entry, stop loss, or take profit
If you drag the take profit above the entry , the indicator automatically sets up for a Long trade
If you drag the take profit below the entry , it automatically configures for a Short trade
All calculations and visuals update in real-time as you adjust the lines
This means you can quickly test different scenarios and see how they affect your position size and potential profit/loss.
6. Reading the Information Panel
The information panel displays:
Account details : Your account size and currency
Risk information : Your percentage risk and the equivalent monetary amount
Position Size : The optimal lot size calculated based on your risk parameters
Price levels : Entry, Stop Loss, and Take Profit with distances in ticks
Risk/Reward ratio : Shown as 1:X (where X is the reward relative to 1 unit of risk)
Potential outcomes : The exact amount you stand to gain or lose on this trade
Trade direction : Whether this is a Long or Short trade
Visual Settings
You can customize the appearance in the "Visual" settings group:
Adjust colors for profit and loss zones
Change the transparency of colored zones
Toggle the filling of spaces between lines
Adjust how far the lines extend beyond the last candle
Practical Tips
Always double-check your "Value per 0.01 lot per tick" setting for the specific instrument you're trading
For Forex major pairs, the standard is usually $1 per pip for 0.01 lots
For other instruments, consult your broker's specifications
The indicator works best when you place your stop loss at a logical market level (support/resistance, swing high/low) rather than a fixed percentage
Final Thoughts
This Position Size Calculator helps remove emotion from your trading by objectively calculating your position size based on your predefined risk parameters. It ensures that you maintain consistent risk across all your trades, regardless of the stop loss distance, which is a key component of successful risk management.
Remember: The most important goal in trading is capital preservation. This tool helps you ensure that each trade risks only what you've decided is acceptable for your trading strategy.
EMA Cross Pro v2.5 | True PnL Tracking + Break Even SystemEMA Cross Pro v2.5 | True PnL Tracking + Break-Even System
Description
This strategy combines fast and slow EMA crossovers with multi-stage profit-taking, a configurable stop-loss, and an optional break-even mechanism—while tracking real, closed-trade PnL on the chart. It’s designed to show exactly how much you earn or lose on each partial exit, reset your breakeven when a profit target hits, and label every trade’s midpoint profit/loss.
1) Strategy Logic & Rationale
EMA Crossover (Fast = 21 / Slow = 55): Signals trend changes.
Partial Profit-Taking:
TP1 at +0.5% on 60% of position
TP2 at +1.0% on 30%
TP3 at +1.5% on final 10%
This pyramided exit reduces risk and locks in gains in stages.
Stop-Loss at 1.0% ensures maximum risk per trade.
Break-Even: Optionally moves your stop to entry when TP1 (or TP2/TP3) is reached, protecting unrealized gains.
True PnL Tracking: Calculates and plots realized profit/loss—including partial exits and break-even closes—directly on chart labels.
Alerts: Flexible alarms for entry, each TP, SL, and break-even activation.
2) Default Inputs & Execution
Backtest Start Date: Jan 1 2025
Initial Capital: $1 000
Position Sizing: 10% of equity per entry
Commission: 0.10% per side
Slippage: 0.05%
TP & SL Levels:
TP1: +0.5% (60%)
TP2: +1.0% (30%)
TP3: +1.5% (10%)
SL: –1.0% on remaining size
Break-Even Triggers: Activate on TP1 (default), TP2 or TP3
Alerts: All configurable on/off in the settings panel
3) Backtest Parameters & Results
Backtested on BTCUSDT 1H bars from 2025-01-01 to 2025-05-01:
Total Trades: 78
Win Rate: 62.8%
Average Risk/Reward: 1 : 1.25
Max Drawdown: 7.5%
Net Return: +14.2%
(Assumes 0.10% commission and 0.05% slippage. Past performance does not guarantee future results.)
4) How to Use
Add to Chart: Search “EMA Cross Pro v2.5” and apply to your instrument.
Set Inputs: Adjust EMAs, TP/SL levels, break-even triggers and alarms to suit your style.
Monitor Labels: Entry, TP1, TP2, TP3, SL and break-even labels appear on chart with exact $ profit or loss.
Review PnL Panel: A table shows total trades, win rate, net P/L and streaks—updated in real time.
Risk Management: Never risk more than 1% per trade; always factor in commission/slippage.
5) Warnings & Disclaimer
This strategy is for educational purposes only. Always validate with your own data feed, apply robust risk controls, and be aware that backtest results may differ from live performance.
AlphaTrend++AlphaTrend++
Overview
The AlphaTrend++ is an advanced Pine Script indicator designed to help traders identify buy and sell opportunities in trending and volatile markets. Building on trend-following principles, it uses a modified Average True Range (ATR) calculation combined with volume or momentum data to plot a dynamic trend line. The indicator overlays on the price chart, displaying a colored trend line, a filled trend zone, buy/sell signals, and optional stop-loss tick labels, making it ideal for day trading or swing trading, particularly in markets like futures (e.g., MES).
What It Does
This indicator generates buy and sell signals based on the direction and momentum of a custom trend line, filtered by optional time restrictions and signal frequency logic. The trend line adapts to price action and volatility, with a filled zone highlighting trend strength. Buy/sell signals are plotted as labels, and stop-loss distances are displayed in ticks (customizable for instruments like MES). The indicator supports standard chart types for realistic signal generation.
How It Works
The indicator employs the following components:
Trend Line Calculation: A dynamic trend line is calculated using ATR adjusted by a user-defined multiplier, combined with either Money Flow Index (MFI) or Relative Strength Index (RSI) depending on volume availability. The line tracks price movements, adjusting upward or downward based on trend direction and volatility.
Trend Zone: The area between the current trend line and its value two bars prior is filled, colored green for bullish trends (upward movement) or red for bearish trends (downward movement), providing a visual cue of trend strength.
Signal Generation: Buy signals occur when the trend line crosses above its value two bars ago, and sell signals occur when it crosses below, with optional filtering to reduce signal noise (based on bar timing logic). Signals can be restricted to a 9:00–15:00 UTC trading window.
Stop-Loss Ticks: For each signal, the indicator calculates the distance to the trend line (acting as a stop-loss level) in ticks, using a user-defined tick size (default 0.25 for MES). These are displayed as labels below/above the signal.
Time Filter: An optional filter limits signals to 9:00–15:00 UTC, aligning with active trading sessions like the US market open.
The indicator ensures compatibility with standard chart types (e.g., candlestick or bar charts) to avoid unrealistic results associated with non-standard types like Heikin Ashi or Renko.
How to Use It
Add to Chart: Apply the indicator to a candlestick or bar chart on TradingView.
Configure Settings:
Multiplier: Adjust the ATR multiplier (default 1.0) to control trend line sensitivity. Higher values widen the stop-loss distance.
Common Period: Set the ATR and MFI/RSI period (default 14) for trend calculations.
No Volume Data: Enable if volume data is unavailable (e.g., for certain forex pairs), switching from MFI to RSI.
Tick Size: Set the tick size for stop-loss calculations (default 0.25 for MES futures).
Show Buy/Sell Signals: Toggle signal labels (default enabled).
Show Stop Loss Ticks: Toggle stop-loss tick labels (default enabled).
Use Time Filter: Restrict signals to 9:00–15:00 UTC (default disabled).
Use Filtered Signals: Enable to reduce signal frequency using bar timing logic (default enabled).
Interpret Signals:
Buy Signal: A blue “BUY” label below the bar indicates a potential long entry (trend line crossover, passing filters).
Sell Signal: A red “SELL” label above the bar indicates a potential short entry (trend line crossunder, passing filters).
Trend Zone: Green fill suggests bullish momentum; red fill suggests bearish momentum.
Stop-Loss Ticks: Gray labels show the stop-loss distance in ticks, helping with risk management.
Monitor Context: Use the trend line and filled zone to confirm the market’s direction before acting on signals.
Unique Features
Adaptive Trend Line: Combines ATR with MFI or RSI to create a responsive trend line that adjusts to volatility and market conditions.
Tick-Based Stop-Loss: Displays stop-loss distances in ticks, customizable for specific instruments, aiding precise risk management.
Signal Filtering: Optional bar timing logic reduces false signals, improving reliability in choppy markets.
Trend Zone Visualization: The filled zone between trend line values enhances trend clarity, making it easier to assess momentum.
Time-Restricted Trading: Optional 9:00–15:00 UTC filter aligns signals with high-liquidity sessions.
Notes
Use on standard candlestick or bar charts to ensure accurate signals.
Test the indicator on a demo account to optimize settings for your market and timeframe.
Combine with other analysis (e.g., support/resistance, volume spikes) for better decision-making.
The indicator is not a standalone system; use it as part of a broader trading strategy.
Limitations
Signals may lag in highly volatile or low-liquidity markets due to ATR-based calculations.
The 9:00–15:00 UTC time filter may not suit all markets; disable it for 24-hour assets like forex or crypto.
Stop-loss tick calculations assume consistent tick sizes; verify compatibility with your instrument.
This indicator is designed for traders seeking a robust, trend-following tool with customizable risk management and signal filtering, optimized for active trading sessions.
Follow Line Strategy Version 2.5 (React HTF)Follow Line Strategy v2.5 (React HTF) - TradingView Script Usage
This strategy utilizes a "Follow Line" concept based on Bollinger Bands and ATR to identify potential trading opportunities. It includes advanced features like optional working hours filtering, higher timeframe (HTF) trend confirmation, and improved trend-following entry/exit logic. Version 2.5 introduces reactivity to HTF trend changes for more adaptive trading.
Key Features:
Follow Line: The core of the strategy. It dynamically adjusts based on price breakouts beyond Bollinger Bands, using either the low/high or ATR-adjusted levels.
Bollinger Bands: Uses a standard Bollinger Bands setup to identify overbought/oversold conditions.
ATR Filter: Optionally uses the Average True Range (ATR) to adjust the Follow Line offset, providing a more dynamic and volatility-adjusted entry point.
Optional Trading Session Filter: Allows you to restrict trading to specific hours of the day.
Higher Timeframe (HTF) Confirmation: A significant feature that allows you to confirm trade signals with the trend on a higher timeframe. This can help to filter out false signals and improve the overall win rate.
HTF Selection Method: Choose between Auto and Manual HTF selection:
Auto: The script automatically determines the appropriate HTF based on the current chart timeframe (e.g., 1min -> 15min, 5min -> 4h, 1h -> 1D, Daily -> Monthly).
Manual: Allows you to select a specific HTF using the Manual Higher Timeframe input.
Trend-Following Entries/Exits: The strategy aims to enter trades in the direction of the established trend, using the Follow Line to define the trend.
Reactive HTF Trend Changes: v2.5 exits positions not only based on the trade timeframe (TTF) trend changing, but also when the higher timeframe trend reverses against the position. This makes the strategy more responsive to larger market movements.
Alerts: Provides buy and sell alerts for convenient trading signal notifications.
Visualizations: Plots the Follow Line for both the trade timeframe and the higher timeframe (optional), making it easy to understand the strategy's logic.
How to Use:
Add to Chart: Add the "Follow Line Strategy Version 2.5 (React HTF)" script to your TradingView chart.
Configure Settings: Customize the strategy's settings to match your trading style and preferences. Here's a breakdown of the key settings:
Indicator Settings:
ATR Period: The period used to calculate the ATR. A smaller period is more sensitive to recent price changes.
Bollinger Bands Period: The period used for the Bollinger Bands calculation. A longer period results in smoother bands.
Bollinger Bands Deviation: The number of standard deviations from the moving average that the Bollinger Bands are plotted. Higher deviations create wider bands.
Use ATR for Follow Line Offset?: Enable to use ATR to calculate the Follow Line offset. Disable to use the simple high/low.
Show Trade Signals on Chart?: Enable to show BUY/SELL labels on the chart.
Time Filter:
Use Trading Session Filter?: Enable to restrict trading to specific hours of the day.
Trading Session: The trading session to use (e.g., 0930-1600 for regular US stock market hours). Use 0000-2400 for all hours.
Higher Timeframe Confirmation:
Enable HTF Confirmation?: Enable to use the HTF trend to filter trade signals. If enabled, only trades in the direction of the HTF trend will be taken.
HTF Selection Method: Choose between "Auto" and "Manual" HTF selection.
Manual Higher Timeframe: If "Manual" is selected, choose the specific HTF (e.g., 240 for 4 hours, D for daily).
Show HTF Follow Line?: Enable to plot the HTF Follow Line on the chart.
Understanding the Signals:
Buy Signal: The price breaks above the upper Bollinger Band, and the HTF (if enabled) confirms the uptrend.
Sell Signal: The price breaks below the lower Bollinger Band, and the HTF (if enabled) confirms the downtrend.
Exit Long: The trade timeframe trend changes to downtrend or the higher timeframe trend changes to downtrend.
Exit Short: The trade timeframe trend changes to uptrend or the higher timeframe trend changes to uptrend.
Alerts:
The script includes alert conditions for buy and sell signals. To set up alerts, click the "Alerts" button in TradingView and select the desired alert condition from the script. The alert message provides the ticker and interval.
Backtesting and Optimization:
Use TradingView's Strategy Tester to backtest the strategy on different assets and timeframes.
Experiment with different settings to optimize the strategy for your specific trading style and risk tolerance. Pay close attention to the ATR Period, Bollinger Bands settings, and the HTF confirmation options.
Tips and Considerations:
HTF Confirmation: The HTF confirmation can significantly improve the strategy's performance by filtering out false signals. However, it can also reduce the number of trades.
Risk Management: Always use proper risk management techniques, such as stop-loss orders and position sizing, when trading any strategy.
Market Conditions: The strategy may perform differently in different market conditions. It's important to backtest and optimize the strategy for the specific markets you are trading.
Customization: Feel free to modify the script to suit your specific needs. For example, you could add additional filters or entry/exit conditions.
Pyramiding: The pyramiding = 0 setting prevents multiple entries in the same direction, ensuring the strategy doesn't compound losses. You can adjust this value if you prefer to pyramid into winning positions, but be cautious.
Lookahead: The lookahead = barmerge.lookahead_off setting ensures that the HTF data is calculated based on the current bar's closed data, preventing potential future peeking bias.
Trend Determination: The logic for determining the HTF trend and reacting to changes is critical. Carefully review the f_calculateHTFData function and the conditions for exiting positions to ensure you understand how the strategy responds to different market scenarios.
Disclaimer:
This script is for informational and educational purposes only. It is not financial advice, and you should not trade based solely on the signals generated by this script. Always do your own research and consult with a qualified financial advisor before making any trading decisions. The author is not responsible for any losses incurred as a result of using this script.
Open Range Candle [TradeWithRon]This Open Range Break indicator is a tool designed to help traders identify and visualize key price levels using the Opening Range Breakout (ORB) strategy. This indicator dynamically plots critical levels such as the high, low, and middle of a predefined range, along with Fibonacci retracement levels for further analysis. It also features several customization options to fit various trading styles.
Key Features:
Session Setup: Allows the user to set the time offset in GMT - or + to adjust the ORB session to their local time zone.
The default ORB session is set at 9:45 AM but can be adjusted based on user preferences.
Warning: Only supports 5-minute and 15-minute timeframes.
Visual Customization:
Line Styles: Users can choose from Solid, Dotted, or Dashed lines to represent key price levels.
Color Adjustments: Customizable colors for the high, middle, and low levels of the range, as well as Fibonacci levels and vertical lines.
Labeling Options: The labels can be customized in terms of size and color, helping to keep the chart clean and clear.
Fibonacci Retracement Levels: Fibonacci retracement levels are automatically drawn between the high and low of the range. Users can toggle these on or off and customize the offset to suit different trading instruments.
Time-Based Visuals: A vertical line is drawn at the start of the ORB session, providing a clear visual marker of where the breakout starts. This is useful for pinpointing key trade setups.
The indicator supports both 5-minute and 15-minute timeframes.
EMA Integration: The user can enable an Exponential Moving Average (EMA) on any chosen timeframe with adjustable parameters such as the length and color, providing additional trend context.
Dynamic Labeling: The indicator labels the high, middle, and low points of the ORB with custom text. These labels are updated in real-time as new data becomes available.
Limit on Lines and Labels: The indicator allows for a limit on the number of lines and labels drawn to maintain a clean chart, preventing unnecessary clutter as more ORB levels are plotted.
Daily Bias Information: The indicator assesses the daily trend bias (bullish or bearish) based on the relationship between the open and close prices for the last three daily candles, providing context for the current trading session.
Countdown Timer: The remaining time until the end of the current session is displayed in a countdown format, which helps traders to time their entries and exits more precisely.
How To Use:,
- Set the Timeframe to 15 minutes.
- Adjust the Time Zone Offset if needed, based on your local time zone.
- Enable the Show ORB feature for the first 15-minute candle to be drawn as the opening range. - The indicator will automatically mark the high, middle, and low points of the range.
Identify Breakout Points:
Bullish Breakout: If the price breaks above the high of the 15-minute opening range, this indicates a potential bullish breakout. The indicator will plot a vertical line marking the breakout point for further confirmation.
Bearish Breakout: If the price breaks below the low of the 15-minute opening range, this signals a potential bearish breakout. Again, the indicator will plot the breakout point with a vertical line for easy identification.
🔶 Disclaimer
Use with Caution: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Users should exercise caution and perform their own analysis before making trading decisions based on the indicator's signals.
Not Financial Advice: The information provided by this indicator does not constitute financial advice, and the creator (Tradewithron) shall not be held responsible for any trading losses incurred as a result of using this indicator.
Backtesting Recommended: Traders are encouraged to backtest the indicator thoroughly on historical data before using it in live trading to assess its performance and suitability for their trading strategies.
Risk Management: Trading involves inherent risks, and users should implement proper risk management strategies, including but not limited to stop-loss orders and position sizing, to mitigate potential losses.
No Guarantees: The accuracy and reliability of the indicator's signals cannot be guaranteed, as they are based on historical price data and past performance may not be indicative of future
CISD [TradeWithRon]The CISD (Change in State of Delivery) indicator helps traders identify significant price action events by tracking liquidity sweeps and CISD events. It highlights key market structure shifts by marking liquidity levels and failed breakouts, offering insights into potential reversals and breakout confirmations.
Features:
CISD Detection: Identifies high and low CISD events with customizable display settings.
Customizable Display: Users can control how many CISD lines and liquidity lines are shown.
Customization:
- Adjust the number of CISD and liquidity lines displayed.
- Modify the swing length and back-checking period for greater flexibility.
- Choose different colors and line styles to match your charting preferences.
Use Cases:
- Spot traps and reversals.
- Identify breakout confirmations.
- Enhance market structure analysis.
- Combine with other technical indicators for improved decision-making.
🔶 Disclaimer
Use with Caution: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Users should exercise caution and perform their own analysis before making trading decisions based on the indicator's signals.
Not Financial Advice: The information provided by this indicator does not constitute financial advice, and the creator (Tradewithron) shall not be held responsible for any trading losses incurred as a result of using this indicator.
Backtesting Recommended: Traders are encouraged to backtest the indicator thoroughly on historical data before using it in live trading to assess its performance and suitability for their trading strategies.
Risk Management: Trading involves inherent risks, and users should implement proper risk management strategies, including but not limited to stop-loss orders and position sizing, to mitigate potential losses.
No Guarantees: The accuracy and reliability of the indicator's signals cannot be guaranteed, as they are based on historical price data and past performance may not be indicative of future
Order Block Candle [TradeWithRon]Order Block Candle
This indicator is designed to help traders identify and visualize key movements within the market. These order blocks are areas where significant buying or selling has occurred, often leading to a strong price reaction. This script detects both bullish and bearish order blocks (with volume spike), marking them directly on your chart, and offers a variety of customization options to enhance your trading experience.
Features:
Bullish and Bearish Candles: Bullish Order Block: Identified when the current price creates a higher high and closes above the previous price, indicating a zone of potential buying activity by institutional traders.
Bearish Order Block: Identified when the current price creates a lower low and closes below the previous price, suggesting strong institutional selling.
Volume-Weighted Analysis: The indicator allows traders to incorporate volume into the order block detection. When a volume pivot (a significant change in volume) is detected, it strengthens the validity of the identified order block.
Customizable Visuals:
- Users can adjust the color and style of order block lines, including solid, dashed, or dotted styles, to suit personal preferences.
- Bullish Order Block Color: Choose from a range of colors to highlight bullish order blocks (default is green).
- Bearish Order Block Color: Choose a color for bearish order blocks (default is red).
- Users can also customize the color and style of the lines representing order blocks, helping traders visually track key levels.
Candle Body or. Wick: The indicator provides flexibility in defining the price range of the order block. Traders can choose whether to calculate the order block using the candle body (open and close) or the full wick (high and low) to suit their trading strategy.
Dynamic Line Extensions: Order block lines are dynamically extended to provide ongoing support and resistance levels. When a price breaks an order block line, the line changes to a dotted style, marking it as "broken." This allows traders to easily spot when the market invalidates an order block.
Alerts:
- Alert for Bullish Order Block: Get notified when a new bullish order block is detected.
- Alert for Bearish Order Block: Receive alerts when a bearish order block is identified.
- Alert for Broken Lines: Set up alerts to be notified when a bullish or bearish order block line is broken, giving traders a signal for potential market shifts.
Zone Management:
- The indicator tracks upper and lower zone information, marking significant price levels where institutional buying or selling might occur. Traders can adjust settings to define how many previous lines should be displayed on the chart for reference.
Optional Mitigated Order Blocks:
- A feature that highlights mitigated (neutralized) order blocks with a specific color and line style, offering additional insight into market behavior.
Input Settings:
- Length: The number of bars to the left and right of a pivot point for it to be considered a high or low.
- Candle Body: Option to use the candle body for calculations (as opposed to the wick).
- Bullish and Bearish Candle Color: Customizable colors for bullish and bearish order blocks.
- Open Line Style: Choose between solid, dashed, or dotted line styles for order block visualization.
- Removed Old Lines: Control the number of broken lines shown on the chart.
- Mitigated Line Style: Select line style for mitigated order blocks.
- Volume Use: Enable volume-based detection for stronger order block validation.
How to Use:
This indicator is ideal for traders looking to trade around institutional support and resistance levels. The bullish and bearish order blocks can serve as key entry or exit points, while broken lines offer dynamic support/resistance that adapt to market changes. Use the alerts to stay informed of critical market developments and adjust your trading strategy accordingly.
🔶 Disclaimer
Use with Caution: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Users should exercise caution and perform their own analysis before making trading decisions based on the indicator's signals.
Not Financial Advice: The information provided by this indicator does not constitute financial advice, and the creator (Tradewithron) shall not be held responsible for any trading losses incurred as a result of using this indicator.
Backtesting Recommended: Traders are encouraged to backtest the indicator thoroughly on historical data before using it in live trading to assess its performance and suitability for their trading strategies.
Risk Management: Trading involves inherent risks, and users should implement proper risk management strategies, including but not limited to stop-loss orders and position sizing, to mitigate potential losses.
No Guarantees: The accuracy and reliability of the indicator's signals cannot be guaranteed, as they are based on historical price data and past performance may not be indicative of future
Market Structure Break with Volume & ATR#### Indicator Overview:
The *Market Structure Break with Volume & ATR (MSB+VolATR)* indicator is designed to identify significant market structure breakouts and breakdowns using a combination of price action, volume analysis, and volatility (ATR). It is particularly useful for traders who rely on higher timeframes for swing trading or positional trading. The indicator highlights bullish and bearish breakouts, retests, fakeouts, and potential buy/sell signals based on RSI overbought/oversold conditions.
---
### Key Features:
1. *Market Structure Analysis*:
- Identifies swing highs and lows on a user-defined higher timeframe.
- Detects breakouts and breakdowns when price exceeds these levels with volume and ATR validation.
2. *Volume Validation*:
- Ensures breakouts are accompanied by above-average volume, reducing the likelihood of false signals.
3. *ATR Filter*:
- Filters out insignificant breakouts by requiring the breakout size to exceed a multiple of the ATR.
4. *RSI Integration*:
- Adds a momentum filter by considering overbought/oversold conditions using RSI.
5. *Visual Enhancements*:
- Draws colored boxes to highlight breakout zones.
- Labels breakouts, retests, and fakeouts for easy interpretation.
- Displays stop levels for potential trades.
6. *Alerts*:
- Provides alert conditions for buy and sell signals, enabling real-time notifications.
---
### Input Settings and Their Effects:
1. **Timeframe (tf):
- Determines the higher timeframe for market structure analysis.
- *Effect*: A higher timeframe (e.g., 1D) reduces noise and provides more reliable swing points, while a lower timeframe (e.g., 4H) may generate more frequent but less reliable signals.
2. **Lookback Period (length):
- Defines the number of historical bars used to identify significant highs and lows.
- *Effect*: A longer lookback period (e.g., 50) captures broader market structure, while a shorter period (e.g., 20) reacts faster to recent price action.
3. **ATR Length (atr_length):
- Sets the period for ATR calculation.
- *Effect*: A shorter ATR length (e.g., 14) reacts faster to recent volatility, while a longer length (e.g., 21) smooths out volatility spikes.
4. **ATR Multiplier (atr_multiplier):
- Filters insignificant breakouts by requiring the breakout size to exceed ATR × multiplier.
- *Effect*: A higher multiplier (e.g., 0.2) reduces false signals but may miss smaller breakouts.
5. **Volume Multiplier (volume_multiplier):
- Sets the volume threshold for breakout validation.
- *Effect*: A higher multiplier (e.g., 1.0) ensures stronger volume confirmation but may reduce the number of signals.
6. **RSI Length (rsi_length):
- Defines the period for RSI calculation.
- *Effect*: A shorter RSI length (e.g., 10) makes the indicator more sensitive to recent price changes, while a longer length (e.g., 20) smooths out RSI fluctuations.
7. *RSI Overbought/Oversold Levels*:
- Sets the thresholds for overbought (default: 70) and oversold (default: 30) conditions.
- *Effect*: Adjusting these levels can make the indicator more or less conservative in generating signals.
8. **Stop Loss Multiplier (SL_Multiplier):
- Determines the distance of the stop-loss level from the entry price based on ATR.
- *Effect*: A higher multiplier (e.g., 2.0) provides wider stops, reducing the risk of being stopped out prematurely but increasing potential losses.
---
### How It Works:
1. *Breakout Detection*:
- A bullish breakout occurs when the close exceeds the highest high of the lookback period, with volume above the threshold and breakout size exceeding ATR × multiplier.
- A bearish breakout occurs when the close falls below the lowest low of the lookback period, with similar volume and ATR validation.
2. *Retest Logic*:
- After a breakout, if price retests the breakout zone without closing beyond it, a retest label is displayed.
3. *Fakeout Detection*:
- If price briefly breaks out but reverses back into the range, a fakeout label is displayed.
4. *Buy/Sell Signals*:
- A sell signal is generated when price reverses below a bullish breakout zone and RSI is overbought.
- A buy signal is generated when price reverses above a bearish breakout zone and RSI is oversold.
5. *Stop Levels*:
- Stop-loss levels are plotted based on ATR × SL_Multiplier, providing a visual guide for risk management.
---
### Who Can Use It and How:
1. *Swing Traders*:
- Use the indicator on daily or 4-hour timeframes to identify high-probability breakout trades.
- Combine with other technical analysis tools (e.g., trendlines, Fibonacci levels) for confirmation.
2. *Positional Traders*:
- Apply the indicator on weekly or daily charts to capture long-term trends.
- Use the stop-loss levels to manage risk over extended periods.
3. *Algorithmic Traders*:
- Integrate the buy/sell signals into automated trading systems.
- Use the alert conditions to trigger trades programmatically.
4. *Risk-Averse Traders*:
- Adjust the ATR and volume multipliers to filter out low-probability trades.
- Use wider stop-loss levels to avoid premature exits.
---
### Where to Use It:
- *Forex*: Identify breakouts in major currency pairs.
- *Stocks*: Spot trend reversals in high-volume stocks.
- *Commodities*: Trade breakouts in gold, oil, or other commodities.
- *Crypto*: Apply to Bitcoin, Ethereum, or other cryptocurrencies for volatile breakout opportunities.
---
### Example Use Case:
- *Timeframe*: 1D
- *Lookback Period*: 50
- *ATR Length*: 14
- *ATR Multiplier*: 0.1
- *Volume Multiplier*: 0.5
- *RSI Length*: 14
- *RSI Overbought/Oversold*: 70/30
- *SL Multiplier*: 1.5
In this setup, the indicator will:
1. Identify significant swing highs and lows on the daily chart.
2. Validate breakouts with volume and ATR filters.
3. Generate buy/sell signals when price reverses and RSI confirms overbought/oversold conditions.
4. Plot stop-loss levels for risk management.
---
### Conclusion:
The *MSB+VolATR* indicator is a versatile tool for traders seeking to capitalize on market structure breakouts with added confirmation from volume and volatility. By customizing the input settings, traders can adapt the indicator to their preferred trading style and risk tolerance. Whether you're a swing trader, positional trader, or algorithmic trader, this indicator provides actionable insights to enhance your trading strategy.
Stop/Take BoundsThe Stop/Take Bounds indicator is tool for setting dynamic stop-loss and take-profit levels based on percentage distance from the price. Unlike traditional ATR-based methods, this indicator allows traders to set stop levels as a fixed percentage of the price and define the take-profit multiple.
- Stop-loss distanceis determined as a percentage of the current price (e.g., 1% means the stop-loss is always 1% away from the price).
- Take-profit distance is calculated by multiplying the stop-loss distance by a user-defined multiplier (e.g., a multiplier of 2 places the take-profit level twice as far as the stop-loss).
- The indicator plots red lines for stop-loss levels and green lines for take-profit levels, making it easy to visualize risk-to-reward scenarios.
How to Use
1. Set Stop-Loss Distance (%) – Define how far the stop-loss should be from the price.
2. Set Take-Profit Multiplier – Choose how many times larger the take-profit should be compared to the stop-loss.
3. Apply to Long and Short Trades – The indicator automatically plots levels for both long and short positions.
4. Use in Manual or Algorithmic Trading – Ideal for discretionary traders as well as for integration into algorithmic strategies.
Use Cases
- Risk Management – Helps maintain disciplined risk-to-reward ratios.
- Strategy Development – Can be used in the creation of algorithmic trading systems.
- Trailing Stop Simulation – Can act as a trailing stop mechanism when used dynamically.
This indicator is a great addition to any trading strategy!
IU Gap Fill StrategyThe IU Gap Fill Strategy is designed to capitalize on price gaps that occur between trading sessions. It identifies gaps based on a user-defined percentage threshold and executes trades when the price fills the gap within a day. This strategy is ideal for traders looking to take advantage of market inefficiencies that arise due to overnight or session-based price movements. An ATR-based trailing stop-loss is incorporated to dynamically manage risk and lock in profits.
USER INPUTS
Percentage Difference for Valid Gap - Defines the minimum gap size in percentage terms for a valid trade setup. ( Default is 0.2 )
ATR Length - Sets the lookback period for the Average True Range (ATR) calculation. (default is 14 )
ATR Factor - Determines the multiplier for the trailing stop-loss, helping in risk management. ( Default is 2.00 )
LONG CONDITION
A gap-up occurs, meaning the current session opens above the previous session’s close.
The price initially dips below the previous session's close but then recovers and closes above it.
The gap meets the valid percentage threshold set by the user.
The bar is not the first or last bar of the session to avoid false signals.
SHORT CONDITION
A gap-down occurs, meaning the current session opens below the previous session’s close.
The price initially moves above the previous session’s close but then closes below it.
The gap meets the valid percentage threshold set by the user.
The bar is not the first or last bar of the session to avoid false signals.
LONG EXIT
An ATR-based trailing stop-loss is set below the entry price and dynamically adjusts upwards as the price moves in favor of the trade.
The position is closed when the trailing stop-loss is hit.
SHORT EXIT
An ATR-based trailing stop-loss is set above the entry price and dynamically adjusts downwards as the price moves in favor of the trade.
The position is closed when the trailing stop-loss is hit.
WHY IT IS UNIQUE
Precision in Identifying Gaps - The strategy focuses on real price gaps rather than minor fluctuations.
Dynamic Risk Management - Uses ATR-based trailing stop-loss to secure profits while allowing the trade to run.
Versatility - Works on stocks, indices, forex, and any market that experiences session-based gaps.
Optimized Entry Conditions - Ensures entries are taken only when the price attempts to fill the gap, reducing false signals.
HOW USERS CAN BENEFIT FROM IT
Enhance Trade Timing - Captures high-probability trade setups based on market inefficiencies caused by gaps.
Minimize Risk - The ATR trailing stop-loss helps protect gains and limit losses.
Works in Different Market Conditions - Whether markets are trending or consolidating, the strategy adapts to potential gap fill opportunities.
Fully Customizable - Users can fine-tune gap percentage, ATR settings, and stop-loss parameters to match their trading style.
Multi-Timeframe EMA [TradeWithRon]Multi-Timeframe EMA Indicator
This indicator displays an Exponential Moving Average (EMA) from a higher timeframe on a lower timeframe chart. The EMA is a type of moving average that gives more weight to recent prices, making it more responsive to price changes compared to a Simple Moving Average (SMA). By overlaying a higher timeframe EMA on a lower timeframe chart, you can gain insights into the broader trend while analyzing price action at a more granular level.
🔶 FEATURES
* 5 MTF EMA with price and timeframe labels
* Smoothing: Alter the smoothness of the back-end EMA calculations.
* VWAP
Why Use EMA
Trend Identification: When the price is above the EMA, it suggests an uptrend, while a price below the EMA indicates a downtrend. The steeper the slope of the EMA, the stronger the trend.
Crossovers : A common strategy is to look for crossovers, such as when a short-term EMA crosses above a long-term EMA, signaling a potential buying opportunity (bullish crossover), or when a short-term EMA crosses below a long-term EMA, signaling a potential selling opportunity (bearish crossover).
Support and Resistance : EMAs can act as dynamic support and resistance levels. In an uptrend, the price may bounce off the EMA as support, while in a downtrend, it can act as resistance.
Convergence and Divergence: Traders look for divergences between price and the EMA to spot potential trend reversals. For example, if price makes a new high but the EMA doesn't, it could signal weakening momentum.
Overall, the EMA helps traders follow the market trend, spot potential reversals, and make more informed trading decisions.
After EMA Crosses you may experience A MSS, CISD, SFP. You can use all of these as confluence for a higher probability trade. This is a good way to capitalize on a trade
Another Case
How I Personally Use It:
Shortest EMA ( Example: 10 EMA ) = Entry
Middle EMA ( Example: 50 EMA ) = Short Term Support / Resistance
Longest EMA ( Example: 100 EMA ) = Long Term Support / Resistance
• WARNING
- If your MAIN chart TimeFrame its lower than ( selected TimeFrame ) the Table will not display signals
- Historical Data Unavailable for this resolution is under 2 minute chart, So you will have to use 2 minute and higher
🔶 Disclaimer
Use with Caution: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Users should exercise caution and perform their own analysis before making trading decisions based on the indicator's signals.
Not Financial Advice: The information provided by this indicator does not constitute financial advice, and the creator (Tradewithron) shall not be held responsible for any trading losses incurred as a result of using this indicator.
Backtesting Recommended: Traders are encouraged to backtest the indicator thoroughly on historical data before using it in live trading to assess its performance and suitability for their trading strategies.
Risk Management: Trading involves inherent risks, and users should implement proper risk management strategies, including but not limited to stop-loss orders and position sizing, to mitigate potential losses.
No Guarantees: The accuracy and reliability of the indicator's signals cannot be guaranteed, as they are based on historical price data and past performance may not be indicative of future results.
FVG Breakout Lite by tradingbauhausExplanation of "FVG Breakout Lite by tradingbauhaus"
This script is a trading strategy built for TradingView that helps you spot and trade "Fair Value Gaps" (FVGs)—price areas where the market moved quickly, leaving a gap that might act as support or resistance later. It’s designed to catch breakout opportunities when the price moves strongly in one direction, with extra filters to make trades more reliable. Here’s how it works and how you can use it:
What It Does
1. Finds Fair Value Gaps (FVGs):
A "Bullish FVG" happens when the price jumps up quickly, leaving a gap below where it didn’t trade much (e.g., today’s low is higher than the high from two bars ago).
A "Bearish FVG" is the opposite: the price drops fast, leaving a gap above (e.g., today’s high is lower than the low from two bars ago).
The script draws colored boxes on your chart to show these gaps: green for bullish, red for bearish.
2. Spots Breakouts:
It looks for "strong" FVGs by comparing them to a trend (based on the highest highs and lowest lows over a set period).
If a bullish gap forms above the recent highs, or a bearish gap below the recent lows, it’s marked as a breakout opportunity.
3. Adds a Volume Check:
Trades only happen if the market’s volume is higher than usual (e.g., 1.2x the average volume over the last 20 bars). This helps ensure the breakout has real momentum behind it.
4. Trades Automatically:
Long Trades (Buy): If a bullish breakout FVG forms and volume is high, it buys at the current price.
Short Trades (Sell): If a bearish breakout FVG forms with high volume, it sells short.
Each trade comes with a stop loss (to limit losses) and a take profit (to lock in gains), both adjustable by you.
5. Shows Mitigation Lines (Optional):
If you turn on "Display Mitigation Zones," it draws lines at the edge of each breakout FVG. These lines show where the price might return to "fill" the gap later, helping you see key levels.
6. Includes Webull Costs:
The script factors in real trading fees from Webull, like tiny SEC and FINRA fees for selling, and a daily margin cost if you’re borrowing money to trade. These don’t show up on the chart but affect the strategy’s performance in backtesting.
How to Use It
1. Add to Your Chart:
Copy the script into TradingView’s Pine Editor, click "Add to Chart," and it’ll start drawing FVGs and running the strategy.
2. Customize Settings:
Trend Period (Default: 25): How many bars it looks back to define the trend. Longer periods mean fewer but stronger signals.
Volume Lookback (Default: 20) & Volume Threshold (Default: 1.2): Adjust how it measures "high volume." Increase the threshold for stricter trades.
Stop Loss % (Default: 1.5%) & Take Profit % (Default: 3%): Set how much you’re willing to lose or aim to gain per trade.
Margin Rate % (Default: 8.74%): Webull’s rate for borrowing money—lower it if your account qualifies for a better rate.
Display Mitigation Zones (Default: On): Toggle this to see or hide the gap lines.
Colors: Change the green (bullish) and red (bearish) shades to suit your chart.
3. Backtest It:
Go to the "Strategy Tester" tab in TradingView to see how it performs on past data. It’ll show trades, profits, losses, and Webull fees included.
4. Watch It Work:
Green boxes mean bullish FVGs; red boxes mean bearish FVGs. If volume spikes and the price breaks out, you’ll see trades happen automatically.
What to Expect
Visuals: You’ll see colored boxes for FVGs and optional lines showing where they start. These help you spot key price zones even if you’re not trading.
Trades: It’s selective—only trades when FVGs align with a breakout and volume confirms it. Expect fewer trades but with higher potential.
Risk: The stop loss keeps losses in check, while the take profit aims for a 2:1 reward-to-risk ratio by default (3% gain vs. 1.5% loss).
Costs: Webull’s fees are small but baked into the results, so you’re seeing a realistic picture of profits.
Tips for Users
Test it on a small timeframe (like 5-minute charts) for day trading or a larger one (like daily) for swing trading.
Play with the volume threshold—if you get too few trades, lower it (e.g., 1.1); if too many, raise it (e.g., 1.5).
Watch how price reacts to the mitigation lines—they’re often support or resistance zones traders target.
This strategy is lightweight, focused, and built for traders who like breakouts with a bit of confirmation. It’s not foolproof (no strategy is!), but it gives you a clear way to trade FVGs with some smart filters.
