Nifty OTM Option SellNSE Nifty 50, Options OTM 1, when the options premium 3 minutes candle close below the VWAP, options sell, stop loss same candle high, target 50 point in premium.
Concept
True Liquidity BlocksSo basically I've been deep diving into liquidity trading concepts similar to ICT (Inner Circle Trader) and developed an indicator that breaks down market movement through a volume-centric lens.
Key Concept:
Markets move not just by price, but by resolving trapped positions
Volume segments, not time intervals, show true market dynamics
VWAP (Volume Weighted Average Price) becomes a key structural reference
What Makes This Different:
Tracks volume segments instead of fixed time frames
Identifies "trapped" trader positions
Measures liquidity level efficiency
Color-codes bars based on nearest liquidity zone
Indicator Features:
Cyan/Red liquidity levels showing buy/sell pressure
Efficiency tracking for each level
Dynamic volume-based segmentation
Bar coloring to show nearest liquidity zone
Theoretical Inspiration: Viewed markets as energy systems where:
Positions create potential energy
Price movement resolves this energy
Trends form through systematic position liquidation
VWAP Recalculation in Each Segment:
Segment Start:
VWAP resets when volume threshold User Inputtable (600,000) is reached
Uses the last 4 price values (High, Low, Close, Close) for calculation
Weighted by volume traded during that segment
Calculation Method:
pineCopy = ta.vwap(hlcc4, na(segment_start) ? true : na, 1)
hlcc4: Combines high, low, close prices
na(segment_start): Ensures reset at new segment
Weighted by volume, not equal time intervals
Key Points:
Dynamic recalculation each segment
Reflects most recent trading activity
Provides real-time fair price reference
Tracks positioning
Essentially, VWAP resets and recalculates with each new volume segment, creating a rolling, volume-weighted average price that maps trader positioning.
BSL (Buy Side Liquidity) and SSL (Sell Side Liquidity) Explained:
When a volume segment closes relative to VWAP, it creates natural positioning traps:
BSL (Cyan) - Created when price closes BELOW THAT SEGMENT'S VWAP:
Bulls are positioned BELOW VWAP (trapped)
Shorts are positioned ABOVE VWAP (In Profit)
SSL (Red) - Created when price closes ABOVE THAT SEGMENT"S VWAP:
Bulls are positioned ABOVE VWAP (trapped)
Shorts are positioned BELOW VWAP (trapped)
Core Mechanism:
VWAP acts as a reference point for trader positioning
Trapped positions create inherent market tension
Levels expand to show accumulating pressure
Color-coded for quick identification of potential move direction
The goal: Visualize where traders are likely "stuck" and must eventually resolve their positions or liquidate other's, driving market movement.
It was just a fun experiment but If ya'll have any thoughts on it or what I could do to improve it, I would appreciate it.
Just a little note, It's optimized for futures, but if u uncheck the "Rest at Futures Open ?" setting, it allow full reign of any asset with volume data.
29&71 Goldbach levelsThe indicator automatically plots horizontal lines at the 29 and 71 price levels on your chart. These levels serve as psychological barriers in the market, where price action may react or consolidate, just as prime numbers are fundamental in the theory of numbers.
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Features:
- 29 Level: Identifies significant areas where market participants may encounter support or resistance, similar to the importance of prime numbers in Goldbach's conjecture.
- 71 Level: Marks another key zone that might indicate possible price breakouts or reversals, offering traders a reference point for decision-making.
- Customizable: You can adjust the colors, line styles, or alerts associated with these levels to fit your trading preferences.
How to Use:
- Use the 29 and 71 levels to spot potential areas of support or resistance on the chart.
- Watch for price reactions at these levels for possible breakout or reversal setups.
- Combine the levels with other technical indicators for added confirmation.
---
This indicator blends the theory of prime numbers with market analysis, offering traders a novel approach to identifying key levels that might influence price movements.
SMT Divergence [TakingProphets]The SMT (Smart Money Technique) Divergence indicator identifies potential market manipulation and smart money footprints by comparing price action between correlated instruments. It uses a dual-detection system to catch both frequent local SMTs and larger structural SMTs:
• Primary detection uses a shorter lookback period (default 5) to identify common SMT patterns
• Secondary detection uses a longer lookback period (default 8) to catch larger structural SMTs
• Automatically filters significant moves to prevent noise
• Labels are placed clearly outside of price action for better visibility
• Toggle between showing all SMTs or only significant liquidity sweeps
Compare any two instruments to spot divergences in their price action. Particularly useful for:
- Futures vs Spot markets
- Related currency pairs
- Index vs its components
- Any correlated instruments
Default settings are optimized for intraday trading but can be adjusted for different timeframes.
Note: This indicator works best when comparing closely correlated instruments and should be used alongside other technical analysis tools.
Korea Premium (Upbit&Binance) by LastMoney
Thought about publishing description을 몇 초 동안
Crafting the indicator
I’m tasked with creating a detailed indicator for TradingView, highlighting its features like comparing Upbit and Binance prices, and including selection checkboxes and table display adjustments in both Korean and English.
다음은 이 지표를 TradingView에 퍼블리시할 때 사용할 수 있는 한글 및 영어 설명문입니다. 필요에 따라 내용을 수정하여 사용하세요.
한글 설명
지표명: Korea Premium Custom (Checkbox & Color)
개요:
이 지표는 국내 대표 암호화폐 거래소인 업비트의 가격과 해외 대표 거래소인 바이낸스의 가격을 비교하여 “김치프리미엄(한국 프리미엄)”을 계산해줍니다. 선택한 코인들의 업비트와 바이낸스(USD 가격에 USD/KRW 환율 적용) 가격을 실시간으로 불러와, 두 가격 간의 프리미엄을 백분율(%)로 나타냅니다.
주요 기능:
코인 선택 기능: 체크박스를 통해 BTC, ETH, XRP, ADA, DOGE, SOL, TRX, DOT 등 원하는 코인들을 선택하여 표시할 수 있습니다.
가격 표시: 업비트와 바이낸스의 가격을 원화 기준으로 불러오며, 천 단위 구분자(콤마)를 사용해 가독성을 높였습니다.
프리미엄 계산: 업비트 가격과 바이낸스 가격 차이를 백분율로 계산하여 “김프” 값을 제공합니다.
사용자 정의 색상: 배경, 셀 텍스트, 타이틀, 테두리 색상을 사용자가 원하는 색상으로 설정할 수 있습니다.
크기 축소 옵션: 체크박스로 5%, 10%, 15%, 20% 축소 옵션을 선택하여 테이블의 텍스트 크기를 조정할 수 있습니다.
알림 기능: 설정한 프리미엄 임계값을 초과할 경우 알림 조건이 활성화되어, 트레이딩뷰의 Alert 기능을 통해 사용자에게 경고를 제공합니다.
사용 방법:
차트에 지표를 추가한 후, 입력창에서 원하는 코인을 체크박스로 선택합니다.
필요에 따라 “Show Price”, “Simple Mode”, “한국어” 및 “Future (바이낸스 선물)” 옵션을 조정합니다.
사용자 정의 색상 옵션에서 표의 배경, 텍스트, 타이틀, 테두리 색상을 선택할 수 있습니다.
크기 축소 옵션에서 5%, 10%, 15%, 20% 중 하나를 선택하여 표의 텍스트 크기를 조정할 수 있습니다.
프리미엄 임계값을 설정하면, 선택한 코인 중 하나라도 해당 임계값을 초과할 때 트레이딩뷰의 Alert 시스템을 통해 알림을 받을 수 있습니다.
참고:
이 지표는 TradingView에서 제공하는 데이터(업비트 및 바이낸스)를 기반으로 합니다.
퍼블리쉬 시 설명에 데이터 출처 및 사용 조건을 명시해주시기 바랍니다.
English Description
Indicator Name: Korea Premium Custom (Checkbox & Color)
Overview:
This indicator compares cryptocurrency prices between Korea’s leading exchange (Upbit) and a major international exchange (Binance) to calculate the “Korea Premium” (also known as “Kimchi Premium”). It fetches real-time prices for selected coins from Upbit (in KRW) and Binance (USD prices converted to KRW using the USD/KRW exchange rate), then displays the premium as a percentage.
Key Features:
Coin Selection: Choose the coins you want to display (BTC, ETH, XRP, ADA, DOGE, SOL, TRX, DOT) using checkboxes.
Price Display: Prices from Upbit and Binance are shown in Korean Won with thousand separators to enhance readability.
Premium Calculation: The indicator computes the premium as the percentage difference between the Upbit and Binance prices.
Customizable Colors: Users can set their preferred colors for the background, cell text, title, and border.
Size Scaling Options: Four size reduction options (5%, 10%, 15%, 20%) are available as checkboxes, which adjust the table’s text size accordingly.
Alert Functionality: An alert condition is provided; if the premium for any selected coin exceeds the specified threshold, an alert is triggered through TradingView’s alert system.
How to Use:
Add the indicator to your chart and select the desired coins via the checkboxes.
Adjust the options such as “Show Price”, “Simple Mode”, “Korean”, and “Future (Binance Futures)” as needed.
Customize the table’s appearance by choosing your preferred colors for background, text, title, and border.
Use the size scaling options (5%, 10%, 15%, or 20%) to adjust the text size in the table.
Set the premium threshold; if any coin’s premium exceeds this value, an alert will be triggered using TradingView’s Alert system.
Note:
This indicator is based on data provided by TradingView from Upbit and Binance.
When publishing, please include data source information and any usage disclaimers as needed.
Global M2 Index Percentage### **Global M2 Index Percentage**
**Description:**
The **Global M2 Index Percentage** is a custom indicator designed to track and visualize the global money supply (M2) in a normalized percentage format. It aggregates M2 data from major economies (e.g., the US, EU, China, Japan, and the UK) and adjusts for exchange rates to provide a comprehensive view of global liquidity. This indicator helps traders and investors understand the broader macroeconomic environment, identify trends in money supply, and make informed decisions based on global liquidity conditions.
---
### **How It Works:**
1. **Data Aggregation**:
- The indicator collects M2 data from key economies and adjusts it using exchange rates to calculate a global M2 value.
- The formula for global M2 is:
\
2. **Normalization**:
- The global M2 value is normalized into a percentage (0% to 100%) based on its range over a user-defined period (default: 13 weeks).
- The formula for normalization is:
\
3. **Visualization**:
- The indicator plots the M2 Index as a line chart.
- Key reference levels are highlighted:
- **10% (Red Line)**: Oversold level (low liquidity).
- **50% (Black Line)**: Neutral level.
- **80% (Green Line)**: Overbought level (high liquidity).
---
### **How to Use the Indicator:**
#### **1. Understanding the M2 Index:**
- **Below 10%**: Indicates extremely low liquidity, which may signal economic contraction or tight monetary policy.
- **Above 80%**: Indicates high liquidity, which may signal loose monetary policy or potential inflationary pressures.
- **Between 10% and 80%**: Represents a neutral to moderate liquidity environment.
#### **2. Trading Strategies:**
- **Long-Term Investing**:
- Use the M2 Index to assess global liquidity trends.
- **High M2 Index (e.g., >80%)**: Consider investing in risk assets (stocks, commodities) as liquidity supports growth.
- **Low M2 Index (e.g., <10%)**: Shift to defensive assets (bonds, gold) as liquidity tightens.
- **Short-Term Trading**:
- Combine the M2 Index with technical indicators (e.g., RSI, MACD) for timing entries and exits.
- **M2 Index Rising + RSI Oversold**: Potential buying opportunity.
- **M2 Index Falling + RSI Overbought**: Potential selling opportunity.
#### **3. Macroeconomic Analysis**:
- Use the M2 Index to monitor the impact of central bank policies (e.g., quantitative easing, rate hikes).
- Correlate the M2 Index with inflation data (CPI, PPI) to anticipate inflationary or deflationary trends.
---
### **Key Features:**
- **Customizable Timeframe**: Adjust the lookback period (e.g., 13 weeks, 26 weeks) to suit your trading style.
- **Multi-Economy Data**: Aggregates M2 data from the US, EU, China, Japan, and the UK for a global perspective.
- **Normalized Output**: Converts raw M2 data into an easy-to-interpret percentage format.
- **Reference Levels**: Includes key levels (10%, 50%, 80%) for quick analysis.
---
### **Example Use Case:**
- **Scenario**: The M2 Index rises from 49% to 62% over two weeks.
- **Interpretation**: Global liquidity is increasing, potentially due to central bank stimulus.
- **Action**:
- **Long-Term**: Increase exposure to equities and commodities.
- **Short-Term**: Look for buying opportunities in oversold assets (e.g., RSI < 30).
---
### **Why Use the Global M2 Index Percentage?**
- **Macro Insights**: Understand the broader economic environment and its impact on financial markets.
- **Risk Management**: Identify periods of high or low liquidity to adjust your portfolio accordingly.
- **Enhanced Timing**: Combine with technical analysis for better entry and exit points.
---
### **Conclusion:**
The **Global M2 Index Percentage** is a powerful tool for traders and investors seeking to incorporate macroeconomic data into their strategies. By tracking global liquidity trends, this indicator helps you make informed decisions, whether you're trading short-term or planning long-term investments. Add it to your TradingView charts today and gain a deeper understanding of the global money supply!
---
**Disclaimer**: This indicator is for informational purposes only and should not be considered financial advice. Always conduct your own research and consult with a professional before making investment decisions.
Gold Pro StrategyHere’s the strategy description in a chat format:
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**Gold (XAU/USD) Trend-Following Strategy**
This **trend-following strategy** is designed for trading gold (XAU/USD) by combining moving averages, MACD momentum indicators, and RSI filters to capture sustained trends while managing volatility risks. The strategy uses volatility-adjusted stops to protect gains and prevent overexposure during erratic price movements. The aim is to take advantage of trending markets by confirming momentum and ensuring entries are not made at extreme levels.
---
**Key Components**
1. **Trend Identification**
- **50 vs 200 EMA Crossover**
- **Bullish Trend:** 50 EMA crosses above 200 EMA, and the price closes above the 200 EMA
- **Bearish Trend:** 50 EMA crosses below 200 EMA, and the price closes below the 200 EMA
2. **Momentum Confirmation**
- **MACD (12,26,9)**
- **Buy Signal:** MACD line crosses above the signal line
- **Sell Signal:** MACD line crosses below the signal line
- **RSI (14 Period)**
- **Bullish Zone:** RSI between 50-70 to avoid overbought conditions
- **Bearish Zone:** RSI between 30-50 to avoid oversold conditions
3. **Entry Criteria**
- **Long Entry:** Bullish trend, MACD bullish crossover, and RSI between 50-70
- **Short Entry:** Bearish trend, MACD bearish crossover, and RSI between 30-50
4. **Exit & Risk Management**
- **ATR Trailing Stops (14 Period):**
- Initial Stop: 3x ATR from entry price
- Trailing Stop: Adjusts to lock in profits as price moves favorably
- **Position Sizing:** 100% of equity per trade (high-risk strategy)
---
**Key Logic Flow**
1. **Trend Filter:** Use the 50/200 EMA relationship to define the market's direction
2. **Momentum Confirmation:** Confirm trend momentum with MACD crossovers
3. **RSI Validation:** Ensure RSI is within non-extreme ranges before entering trades
4. **Volatility-Based Risk Management:** Use ATR stops to manage market volatility
---
**Visual Cues**
- **Blue Line:** 50 EMA
- **Red Line:** 200 EMA
- **Green Triangles:** Long entry signals
- **Red Triangles:** Short entry signals
---
**Strengths**
- **Clear Trend Focus:** Avoids counter-trend trades
- **RSI Filter:** Prevents entering overbought or oversold conditions
- **ATR Stops:** Adapts to gold’s inherent volatility
- **Simple Rules:** Easy to follow with minimal inputs
---
**Weaknesses & Risks**
- **Infrequent Signals:** 50/200 EMA crossovers are rare
- **Potential Missed Opportunities:** Strict RSI criteria may miss some valid trends
- **Aggressive Position Sizing:** 100% equity allocation can lead to large drawdowns
- **No Profit Targets:** Relies on trailing stops rather than defined exit targets
---
**Performance Profile**
| Metric | Expected Range |
|----------------------|---------------------|
| Annual Trades | 4-8 |
| Win Rate | 55-65% |
| Max Drawdown | 25-35% |
| Profit Factor | 1.8-2.5 |
---
**Optimization Recommendations**
1. **Increase Trade Frequency**
Adjust the EMAs to shorter periods:
- `emaFastLen = input.int(30, "Fast EMA")`
- `emaSlowLen = input.int(150, "Slow EMA")`
2. **Relax RSI Filters**
Adjust the RSI range to:
- `rsiBullish = rsi > 45 and rsi < 75`
- `rsiBearish = rsi < 55 and rsi > 25`
3. **Add Profit Targets**
Introduce a profit target at 1.5% above entry:
```pine
strategy.exit("Long Exit", "Long",
stop=longStopPrice,
profit=close*1.015, // 1.5% target
trail_offset=trailOffset)
```
4. **Reduce Position Sizing**
Risk a smaller percentage per trade:
- `default_qty_value=25`
---
**Best Use Case**
This strategy excels in **strong trending markets** such as gold rallies during economic or geopolitical crises. However, during sideways or choppy market conditions, the strategy might require manual intervention to avoid false signals. Additionally, integrating fundamental analysis—like monitoring USD weakness or geopolitical risks—can enhance its effectiveness.
---
This strategy offers a balanced approach for trading gold, combining trend-following principles with risk management tailored to the volatility of the market.
Daily Asian RangeDaily Asian Range Indicator
This indicator is an enhanced version inspired by @toodegrees' "ICT Friday's Asian Range" indicator. While maintaining the core concepts, this version expands functionality for daily analysis and adds comprehensive customization options.
### Overview
The Asian Range indicator identifies and visualizes potential liquidity areas based on price action during the Asian session (8:00 PM - 12:00 AM ET). It plots both body and wick ranges along with multiple standard deviation levels that can serve as potential price targets or areas of interest.
### Features
- Flexible Display Options
- Choose between Body, Wick, or Both for range boxes and deviation lines
- Customizable colors, styles, and borders for all visual elements
- Historical sessions display (0-20 previous sessions)
- Advanced Standard Deviation Levels
- Multiple deviation multipliers (1.0, 1.5, 2.0, 2.3, 3.5)
- Separate visualization for body and wick-based deviations
- Clear labeling system for easy identification
- Precise Time Management
- Asian session: 8:00 PM - 12:00 AM ET
- Deviation lines extend through the following trading day
- Proper timezone handling for accuracy
### Usage
- Works on timeframes from 1 to 15 minutes
- Use the range boxes to identify key price levels from the Asian session
- Standard deviation levels can serve as potential targets or areas of interest
- Combine with other indicators for enhanced analysis
### Credits
Original concept and base implementation by @toodegrees
Enhanced and expanded by @Omarqqq
### Disclaimer
This indicator is for educational and informational purposes only. Always conduct your own analysis and use proper risk management.
Minute Markers ATT MethodStrategic Implementation Guide: Time-Based Market Analysis Indicator
Overview:
The Minute Markers indicator is designed to provide traders with precise time-based reference points throughout the trading session. By marking specific minutes of each hour with vertical lines, this tool enables traders to identify potential market turning points and execute trades with enhanced timing precision.
Key Features:
The indicator displays vertical lines at minutes 3, 11, 17, 29, 41, 47, 53, and 59 of each hour within user-defined trading hours. These specific time markers have been selected to align with common institutional trading patterns and market microstructure elements.
Strategic Applications:
Market Structure Analysis:
The indicator helps traders identify recurring patterns in market behavior at specific times during each hour. This can be particularly valuable for understanding institutional order flow and potential price action patterns that may develop around these time points.
Trade Timing Optimization:
Traders can use these time markers to:
Refine entry and exit points for their trades
Avoid entering positions during potentially volatile time periods
Plan their trades around known institutional trading windows
Coordinate their trading activities with specific market events
Risk Management:
The customizable trading hours feature allows traders to focus on their preferred market sessions while avoiding periods of reduced liquidity or increased volatility. This can help in managing risk exposure during specific market conditions.
Implementation Recommendations:
Initial Observation Phase:
Begin by observing how your traded instruments behave around these time markers over several trading sessions. Document any recurring patterns or notable price action characteristics.
Pattern Recognition:
Pay particular attention to:
Price reaction at these time points
Volume changes around the marked times
Trend continuation or reversal patterns
Changes in volatility
Strategy Integration:
Incorporate these time markers into your existing trading strategy by:
Using them as potential entry or exit points
Setting time-based stop losses
Planning position sizing based on time-related volatility patterns
Adjusting trade management techniques around these specific times
Performance Optimization:
The indicator's customizable visual settings allow traders to:
Adjust line styles for better visibility
Modify colors to match their chart theme
Set specific trading hours to focus on their preferred sessions
Conclusion:
The Minute Markers indicator serves as a sophisticated timing tool that can enhance trading precision and market analysis capabilities. When properly integrated into a comprehensive trading strategy, it can provide valuable insights into market structure and help optimize trade execution timing.
TDGS Dynamic Grid Trading Strategy [CoinFxPro]Advanced Dynamic Grid Trading Strategy
Logic and Working Principle:
This strategy uses a dynamic grid system to support both long and short trades. Grid trading aims to capitalize on price fluctuations within a predefined range by executing buy and sell orders systematically. The system calculates grid levels based on a base price and dynamically trades within these levels.
Grid Levels:
Grid levels are calculated based on the initial price and the user-defined grid spacing percentage.
Long Mode: Buys when the price decreases and sells when the price increases.
Short Mode: Sells when the price increases and buys when the price decreases.
Grid Updates:
Grid levels are recalculated based on the market price when the price moves by a user-defined update percentage.
For example;
In Long mode, when the price shows an upward trend, that is, when it rises by the Grid Update Percentage specified by the user, Grid levels are recreated and trades are made according to the new grid levels. While the price and grid levels are updated according to the new price, the Stop level is also updated upwards and the stop is followed with the TrailingStop logic.
In short mode, the same system operates with reverse logic. In other words, as prices decrease downwards, the grids are updated downwards when the Grid update percentage determined by the user decreases. The stop level is also updated accordingly.
The difference of the strategy from other Gridbots is that the grid levels are automatically updated and the levels are recreated with the price percentage difference determined by the user. Old levels can be tracked on the chart.
As the price updates, the self-updating grid levels are updated upwards in long mode and downwards in short mode.
The number of buying lots and selling lots are separated, allowing both trading within the position and the opportunity to collect lots and increase the position.
When trading with the grid trading logic, when buying and selling between grids, there is no repeated purchase at the same level unless there is a sale at the upper grid level. In this way, each level will be traded within itself.
For example, in a long condition, when the price is going up, after deducting the selling lot from the buying lot at each level, the remaining lots will be collected while the price is going up and an opportunity will be provided from the price rise.
Different preferences have been added to the profit taking conditions, allowing the robot to continue or stop after profit taking, if desired.
The system, which acts entirely according to user parameters, constantly updates itself as long as it moves in the direction determined by itself, and in these conditions, transactions are carried out according to profit or stop conditions.
Parameters:
Grid Parameters:
Settings such as buy lot size, sell lot size, grid count, and grid spacing percentage allow flexibility and customization.
Risk Management:
Stop loss (%) and take profit (%) levels help limit potential losses and secure profits at predefined thresholds.
Objective:
The goal of this strategy is to systematically capitalize on market price fluctuations through automated grid trading. This method is particularly effective in volatile markets where the price oscillates within a specific range.
The strategy works with a complete algorithm logic, and in appropriate instruments (especially instruments with depth and transaction volume should be preferred), buying and selling transactions are made according to the parameters determined at the beginning, and if the conditions go beyond the conditions, the stop is made, and when the profit taking conditions are met, it takes profit and prices according to the determined value. When it is updated, the values are updated again and the parameter works algorithmically.
Risk Management Recommendations:
Initial Capital: Grid trading involves frequent transactions, so sufficient initial capital is essential.
Stop Loss: Always set stop loss levels to prevent significant losses.
Grid Count and Spacing: A higher number of grids provides more trading opportunities but using grids that are too close may increase transaction costs due to small price movements.
First of all, it is important for risk management that you choose instruments that have depth and high transaction volume.
Strategy results may differ as a result of the parameters entered. Therefore, before trading in your real account, it is recommended that you start real transactions after backtesting with different parameters.
If you are stuck on something, you can mention it in the comments.
SMA Ichimoku CrossesSMA Ichimoku Crosses displays the moving average between the last two crossings of the Tenkan-Sen and Kijun-Sen lines from Ichimoku Kinko Hyo. The line is calculated based on the closing prices at the time of the crossings and is added directly to the price chart, making it a convenient tool for trend analysis and identifying entry and exit points.
Features:
- Automatic calculation of Tenkan-Sen and Kijun-Sen lines.
- Fixation of closing prices at the point of line crossings.
- Calculation of the average price between the last two crossings.
- Display of a pink line on the price chart for convenient analysis.
How to use:
- Identify potential trend reversal zones by observing the line’s position relative to the price.
- Use the line as a dynamic level of support or resistance.
- Include the indicator in your Ichimoku strategies to enhance the accuracy of signals.
Suitable for:
- Traders using Ichimoku in their trading.
- Trend analysis enthusiasts.
- Those looking for additional filters for entry and exit points.
NWOG with FVGThe New Week Opening Gap (NWOG) and Fair Value Gap (FVG) combined indicator is a trading tool designed to analyze price action and detect potential support, resistance, and trade entry opportunities based on two significant concepts:
New Week Opening Gap (NWOG): The price range between the high and low of the first candle of the new trading week.
Fair Value Gap (FVG): A price imbalance or gap between candlesticks, where price may retrace to fill the gap, indicating potential support or resistance zones.
When combined, these two concepts help traders identify key price levels (from the new week open) and price imbalances (from FVGs), which can act as powerful indicators for potential market reversals, retracements, or continuation trades.
1. New Week Opening Gap (NWOG):
Definition:
The New Week Opening Gap (NWOG) refers to the range between the high and low of the first candle in a new trading week (often, the Monday open in most markets).
Purpose:
NWOG serves as a significant reference point for market behavior throughout the week. Price action relative to this range helps traders identify:
Support and Resistance zones.
Bullish or Bearish sentiment depending on price’s relation to the opening gap levels.
Areas where the market may retrace or reverse before continuing in the primary trend.
How NWOG is Identified:
The high and low of the first candle of the new week are drawn on the chart, and these levels are used to assess the market's behavior relative to this range.
Trading Strategy Using NWOG:
Above the NWOG Range: If price is trading above the NWOG levels, it signals bullish sentiment.
Below the NWOG Range: If price is trading below the NWOG levels, it signals bearish sentiment.
Price Touching the NWOG Levels: If price approaches or breaks through the NWOG levels, it can indicate a potential retracement or reversal.
2. Fair Value Gap (FVG):
Definition:
A Fair Value Gap (FVG) occurs when there is a gap or imbalance between two consecutive candlesticks, where the high of one candle is lower than the low of the next candle (or vice versa), creating a zone that may act as a price imbalance.
Purpose:
FVGs represent an imbalance in price action, often indicating that the market moved too quickly and left behind a price region that was not fully traded.
FVGs can serve as areas where price is likely to retrace to fill the gap, as traders seek to correct the imbalance.
How FVG is Identified:
An FVG is detected if:
Bearish FVG: The high of one candle is less than the low of the next (gap up).
Bullish FVG: The low of one candle is greater than the high of the next (gap down).
The area between the gap is drawn as a shaded region, indicating the FVG zone.
Trading Strategy Using FVG:
Price Filling the FVG: Price is likely to retrace to fill the gap. A reversal candle in the FVG zone can indicate a trade setup.
Support and Resistance: FVG zones can act as support (in a bullish FVG) or resistance (in a bearish FVG) if the price retraces to them.
Combined Strategy: New Week Opening Gap (NWOG) and Fair Value Gap (FVG):
The combined use of NWOG and FVG helps traders pinpoint high-probability price action setups where:
The New Week Opening Gap (NWOG) acts as a major reference level for potential support or resistance.
Fair Value Gaps (FVG) represent market imbalances where price might retrace to, filling the gap before continuing its move.
Signal Logic:
Buy Signal:
Price touches or breaks above the NWOG range (indicating a bullish trend) and there is a bullish FVG present (gap indicating a support area).
Price retraces to fill the bullish FVG, offering a potential buy opportunity.
Sell Signal:
Price touches or breaks below the NWOG range (indicating a bearish trend) and there is a bearish FVG present (gap indicating a resistance area).
Price retraces to fill the bearish FVG, offering a potential sell opportunity.
Example:
Buy Setup:
Price breaks above the NWOG resistance level, and a bullish FVG (gap down) appears below. Traders can wait for price to pull back to fill the gap and then take a long position when confirmation occurs.
Sell Setup:
Price breaks below the NWOG support level, and a bearish FVG (gap up) appears above. Traders can wait for price to retrace and fill the gap before entering a short position.
Key Benefits of the Combined NWOG & FVG Indicator:
Combines Two Key Concepts:
NWOG provides context for the market's overall direction based on the start of the week.
FVG highlights areas where price imbalances exist and where price might retrace to, making it easier to spot entry points.
High-Probability Setups:
By combining these two strategies, the indicator helps traders spot high-probability trades based on major market levels (from NWOG) and price inefficiencies (from FVG).
Helps Identify Reversal and Continuation Opportunities:
FVGs act as potential support and resistance zones, and when combined with the context of the NWOG levels, it gives traders clearer guidance on where price might reverse or continue its trend.
Clear Visual Signals:
The indicator can plot the NWOG levels on the chart, and shade the FVG areas, providing a clean and easy-to-read chart with entry signals marked for buy and sell opportunities.
Conclusion:
The New Week Opening Gap (NWOG) and Fair Value Gap (FVG) combined indicator is a powerful tool for traders who use price action strategies. By incorporating the New Week's opening range and identifying gaps in price action, this indicator helps traders identify potential support and resistance zones, pinpoint entry opportunities, and increase the probability of successful trades.
This combined strategy enhances your analysis by adding layers of confirmation for trades based on significant market levels and price imbalances. Let me know if you'd like more details or modifications!
DCA Alpha 1.0 Trading Tool for Dollar-Cost Averaging
Description:
DCA Alpha 1.0 is a precision-engineered trading tool designed to assist traders and investors in accumulating assets during market downturns. Using proprietary algorithms that combine momentum decay, extreme price deviation metrics, trend dynamics, divergence analysis, and mean regression, it identifies potential bottom extreme zones in various asset classes such as indices, stocks, crypto, and commodities.
This indicator highlights market conditions where assets are oversold, undervalued, or experiencing capitulation—providing disciplined, unleveraged dollar-cost averaging (DCA) opportunities. Ideal for long-term growth strategies, DCA Alpha 1.0 helps cut through market noise, pinpointing moments of peak fear and maximum reward potential.
Whether navigating volatile crypto markets, timing corrections in indices, or accumulating commodities, DCA Alpha 1.0 serves as a vital tool for mastering the art of buying low and building your assets up strategically.
Instructions:
Getting Started:
Add the Indicator:
Install DCA Alpha 1.0 on your TradingView chart.
Select your preferred asset class: stocks, indices, crypto, or commodities.
Choose an appropriate timeframe (e.g., daily or weekly for long-term DCA strategies).
Customize Inputs: Adjust the following settings to align with your strategy:
Percentage of Equity to Trade: Define the portion of your portfolio to allocate per signal (default: 1% equity).
Profit Target Percentages: Set thresholds for locking in gains (default: 50% on lower timeframes, 500% on higher timeframes).
Zones and Signals:
Extreme Negative Zones:
What It Represents:
These zones highlight conditions where prices are deeply oversold, indicating extreme bearish sentiment. The market is likely nearing a bottom, offering high-probability buying opportunities.
Entry Signals:
When the price enters these extreme negative zones, visual markers (e.g., green triangles or other indicators) will signal a potential buying opportunity. These moments are indicative of market exhaustion, signaling that a reversal could be imminent.
Momentum Decay & Divergence:
Momentum decay occurs when price movement slows over time. In extreme negative zones, if prices continue to fall but at a diminishing rate (e.g., decreased volume or a fading oscillator), it suggests weakening bearish momentum. This, coupled with bullish divergence (oscillator forming higher lows while price makes lower lows), signifies a reversal, making it an ideal point to consider dollar-cost averaging into the asset.
Neutral Zones:
What It Represents:
The neutral zone is a state of market equilibrium, where prices are neither overbought nor oversold. The market is in a balanced state, with no strong trend emerging.
Mean Regression:
In a neutral zone, the market is reverting to its mean or average price after overreacting in either direction. A price transition from extreme zones (overbought/oversold) to the neutral zone suggests a reversion to the market's long-term average, making this a period of reduced volatility and uncertainty.
Entering or Exiting Neutral Zones:
Traders should avoid entering or exiting positions during neutral zone conditions unless transitioning from an extreme zone (negative or positive). Transitioning from an extreme negative zone to neutral may suggest an opportunity to accumulate assets gradually, while a shift from neutral to an extreme negative zone may indicate a deeper correction and warrant caution.
Momentum Decay & Divergence (Exiting Neutral Zone):
If prices are rising but the oscillator shows lower highs (bearish divergence), and momentum is fading, this could signal a pullback. A transition out of the neutral zone in this context may prompt traders to hold off on new positions or consider profit-taking.
Extreme Positive Zones:
What It Represents:
Markets can also become overbought or overvalued. When price enters extreme positive zones, the asset may be overvalued, suggesting potential selling or a waiting period.
Exit Signals:
Red triangle indicators signal potential exit points when prices reach overbought conditions, signaling a time to lock in profits and reduce exposure.
Momentum Decay & Divergence (Exiting Positive Zone):
When prices are making new highs but momentum is weakening (momentum decay) and the oscillator is showing lower highs (bearish divergence), this could indicate a faltering rally. Such conditions represent an ideal time to reduce exposure or exit positions.
Key Inputs for Customization:
Percentage of Equity to Trade:
This setting allows you to allocate a portion of your total portfolio per buy signal. By default, 1% of equity is used per signal, but this can be adjusted based on your risk tolerance and strategy.
Profit Target Percentages:
These thresholds help lock in gains once the price moves a set percentage in your favor.
Lower Timeframes: Default profit target of 50%.
Higher Timeframes: Default profit target of 500%.
These settings can be customized for specific risk/reward preferences.
Warning!!! : Aggressive Mode
Aggressive Mode is an advanced feature designed for traders who want to increase the frequency of signals during periods of market volatility. This mode will trigger more frequent entries, even into slightly less extreme zones, capturing short-term reversals.
What Aggressive Mode Does:
It amplifies signals by allowing the tool to identify more frequent price reversals, including brief market corrections, increasing trade frequency. While this can offer more trading opportunities, it also exposes you to higher risk.
Warning:
Aggressive Mode should be used only by experienced traders familiar with short-term volatility. The increased frequency of signals could lead to higher risk exposure. Ensure robust risk management practices, such as stop-loss orders and profit-taking strategies, are in place before activating this mode.
Default Setting:
Aggressive Mode is disabled by default. It can be activated at your discretion based on your experience level and risk appetite.
Best Practices:
Focus on High-Quality Assets: Prioritize assets with strong recovery potential (e.g., major indices, blue-chip cryptocurrencies).
Use Longer Timeframes: Minimize market noise and optimize your DCA strategy by focusing on higher timeframes (e.g., daily or weekly charts).
Review Trading Inputs: Regularly adjust your inputs to ensure they align with your financial goals and risk tolerance.
Implement Risk Management: Use stop-loss orders and profit targets to manage risk, especially when using Aggressive Mode.
Disclaimer:
DCA Alpha 1.0 is designed specifically for unleveraged, long-term dollar-cost averaging strategies. It is not intended for day trading or leveraged positions. The tool excels at identifying market dips but cannot guarantee success. Users are fully responsible for their own risk management, including the use of stop-losses, profit targets, and position sizing.
Aggressive Mode increases trade frequency and may lead to higher exposure and potential losses. Only experienced traders should consider using this mode. Always understand the risks involved before incorporating this tool into your trading strategy.
Big Money by ChartedhighsBig Money by Chartedhighs
Script Overview:
The "Big Money" indicator is designed to help traders easily identify significant price movements on their charts. This script visually highlights candles where the price change from open to close exceeds a user-defined threshold. It draws attention to these key moments, providing a clear indication of potential big-money moves in the market.
Key Features:
Customizable Threshold:
Allows users to set a specific price change threshold via the input menu (Highlight Threshold).
Only candles with a price change greater than or equal to this value are highlighted.
Candle Highlighting:
Uses color-coded bars to emphasize candles meeting the threshold condition.
Candles are highlighted in yellow for immediate visual clarity.
Dynamic Box Annotation:
Draws a semi-transparent yellow box around highlighted candles.
Extends the box dynamically to subsequent bars, providing an area of interest for continued analysis.
Labeling for Key Moments:
Automatically adds a label ("BigMoney") above highlighted bars to further indicate significant price action.
How It Works:
The script calculates the price change for each bar (close - open) and compares it to the user-defined threshold.
If the price change meets or exceeds the threshold:
The bar color changes to yellow.
A box is drawn around the candle to highlight the price movement visually.
A label is added above the candle to emphasize its significance.
The box extends dynamically until the next highlighted candle, allowing users to track zones of activity.
Customization Options:
Highlight Threshold: Modify the threshold value to suit your trading style or instrument volatility.
Use Case:
This indicator is ideal for traders looking to identify significant price movements quickly. It helps to locate areas where "big money" might be flowing into the market, offering potential entry or exit opportunities.
How to Use:
Add the "Big Money by Chartedhighs" script to your TradingView chart.
Set the Highlight Threshold to a value suitable for your market or timeframe.
Observe highlighted candles and boxes for potential trading signals or areas of interest.
This script is highly visual, intuitive, and customizable, making it a great addition to any trader's toolkit!
Time Appliconic Macro | ForTF5m (Fixed)The Time Appliconic Macro (TAMcr) is a custom-built trading indicator designed for the 5-minute time frame (TF5m), providing traders with clear Buy and Sell signals based on precise technical conditions and specific time windows.
Key Features:
Dynamic Moving Average (MA):
The indicator utilizes a Simple Moving Average (SMA) to identify price trends.
Adjustable length for user customization.
Custom STARC Bands:
Upper and lower bands are calculated using the SMA and the Average True Range (ATR).
Includes a user-defined multiplier to adjust the band width for flexibility across different market conditions.
RSI Integration:
Signals are filtered using the Relative Strength Index (RSI), ensuring they align with overbought/oversold conditions.
Time-Based Signal Filtering:
Signals are generated only during specific time windows, allowing traders to focus on high-activity periods or times of personal preference.
Supports multiple custom time ranges with automatic adjustments for UTC-4 or UTC-5 offsets.
Clear Signal Visualization:
Buy Signals: Triggered when the price is below the lower band, RSI indicates oversold conditions, and the time is within the defined range.
Sell Signals: Triggered when the price is above the upper band, RSI indicates overbought conditions, and the time is within the defined range.
Signals are marked directly on the chart for easy identification.
Customizability:
Adjustable parameters for the Moving Average length, ATR length, and ATR multiplier.
Time zone selection and defined trading windows provide a tailored experience for global users.
Who is this Indicator For?
This indicator is perfect for intraday traders who operate in the 5-minute time frame and value clear, filtered signals based on price action, volatility, and momentum indicators. The time window functionality is ideal for traders focusing on specific market sessions or personal schedules.
How to Use:
Adjust the MA and ATR parameters to match your trading style or market conditions.
Set the desired time zone and time ranges to align with your preferred trading hours.
Monitor the chart for Buy (green) and Sell (red) signals, and use them as a guide for entering or exiting trades.
Candle ThermalsThis indicator color candles based on their percentage price change, relative to the average, maximum, and minimum changes over the last 100 candles.
-It calculates the percentage change of all candles
-Calculates the minimum, maximum and average in the last 100 bars in percentage change
-Changes color of the candle based on the range between the current percent and min/max value
-The brightest candle provides the highest compound effect to you account if you act on it at the open.
-Candles that have a percentage close to the average then they are barely visible = lowest compound effect to your account
This indicator functions like a "heatmap" for candles, highlighting the relative volatility of price movements in both directions. Strong bullish candles are brighter green, and strong bearish candles are brighter red. It's particularly useful for traders wanting quick visual feedback on price volatility and strength trends within the last 100 bars.
Diamonds Infiniti - Aynet FiboThe "Diamonds Infiniti - Aynet Fibo" Pine Script combines the geometric visualization of diamond patterns with Fibonacci retracement levels to create an innovative technical indicator for analyzing market trends and potential reversal points. Below is a detailed explanation of the code and its functionality:
Key Features
Dynamic Fibonacci Levels
High and Low Points: The script calculates the highest high and lowest low over a user-defined lookback period (lookback) to establish a price range.
Fibonacci Price Levels: Using the defined price range, the script calculates the Fibonacci retracement levels (0%, 23.6%, 38.2%, 50%, 61.8%, 100%) relative to the low point.
Trend Change Detection
Crossovers and Crossunders: The script monitors whether the closing price crosses over or under the calculated Fibonacci levels. This detection is encapsulated in the isTrendChange function.
Trend Signal: If a trend change occurs at any of the Fibonacci levels (23.6%, 38.2%, 50%, 61.8%), the script flags it as a trend change and stores the bar index of the last signal.
Diamond Pattern Visualization
Diamond Construction: The drawDiamond function draws a diamond shape at a given bar index using a central price, a top price, and a bottom price.
Trigger for Drawing Diamonds: When a trend change is detected, the script draws two diamonds—one on the left and one on the right—connected by a central line. The diamonds are based on the calculated price range (price_range) and a user-defined pattern height (patternHeight).
Fibonacci Level Visualization
Overlay of Fibonacci Levels: The script plots the calculated Fibonacci levels (23.6%, 38.2%, 50%, 61.8%) on the chart as dotted lines for easier visualization.
Scientific and Trading Use Cases
Trend Visualization:
The diamond pattern visually highlights trend changes around key Fibonacci retracement levels, providing traders with clear indicators of potential reversal zones.
Support and Resistance Zones:
Fibonacci retracement levels are widely recognized as key support and resistance zones. Overlaying these levels helps traders anticipate price behavior in these areas.
Adaptive Trading:
By dynamically recalculating Fibonacci levels and diamond patterns based on the most recent price range, the script adapts to changing market conditions.
Possible Enhancements
Multi-Timeframe Support:
Extend the script to calculate Fibonacci levels and diamond patterns across multiple timeframes for broader market analysis.
Alerts:
Add alerts for when the price crosses specific Fibonacci levels or when a new diamond pattern is drawn.
Additional Patterns:
Include other geometric patterns like triangles or rectangles for further trend analysis.
This script is a powerful visualization tool that combines Fibonacci retracement with unique diamond patterns. It simplifies complex price movements into easily interpretable signals, making it highly effective for both novice and experienced traders.
Fibonacci Renko Trend - AynetThe "Fibonacci Renko Trend - Aynet" Pine Script combines the Renko charting technique with Fibonacci retracement levels to create a highly customizable and adaptive trend-following tool. Below is a detailed explanation of the script and its components:
Scientific and Trading Applications
Noise Reduction:
By using Renko charts, the script filters out time-based noise and focuses solely on price movement, making it ideal for trend-following strategies.
Adaptability:
The ATR-based box size ensures that the Renko blocks automatically adjust to market volatility, making the tool versatile for different market conditions and asset classes.
Fibonacci-Based Decision Making:
The integration of Fibonacci retracement levels provides a structured framework for identifying key support and resistance levels. Traders can use these levels to anticipate price reversals or continuations.
Visualization:
The color-coded Renko blocks allow traders to quickly identify trends and potential reversals without additional indicators, improving decision-making efficiency.
Possible Improvements
Signal Generation:
Add entry and exit signals when price crosses significant Fibonacci levels or when a trend reversal is detected.
Multi-Timeframe Support:
Extend the script to compute Renko levels and Fibonacci ratios for multiple timeframes simultaneously.
Alerts:
Implement alert notifications for key events, such as trend changes or Fibonacci level breaches.
This script is a robust tool for traders looking to combine the simplicity of Renko charts with the analytical power of Fibonacci retracement levels. It offers a clear visualization of price trends and potential reversal points, making it suitable for both novice and experienced traders.
Buy and Sell Signal at 50% Retracement, Based on MANDO MODELthe sell is taking out a previous high. leave some runners and practice safe trading.
Explanation of Behavior:
When the price retraces 50% of the defined range (from the low to high), a Buy signal is triggered.
After the Buy signal, if the price moves above the previous high (after retracement), a Sell signal is triggered.
Once a Sell signal is triggered, the range is reset, and a new range needs to form before another signal can be triggered.
Test this:
Apply the script to your chart.
Check for Buy signals when the price crosses the 50% retracement level.
Sell signals will trigger once the price breaks above the previous high after the retracement phase.
Ensure that the signals are plotted as arrows on the chart and that the background color changes to indicate Buy or Sell.
Alerts Setup:
To set up alerts:
Right-click on the chart and select Add Alert.
For Buy Signal: Choose the condition Buy and Sell Signal at 50% Retracement with Top Break > Buy Signal.
For Sell Signal: Choose the condition Buy and Sell Signal at 50% Retracement with Top Break > Sell Signal.
Set your preferred alert type (popup, email, etc.).
Click Create to set the alert.
Infinity Market Grid -AynetConcept
Imagine viewing the market as a dynamic grid where price, time, and momentum intersect to reveal infinite possibilities. This indicator leverages:
Grid-Based Market Flow: Visualizes price action as a grid with zones for:
Accumulation
Distribution
Breakout Expansion
Volatility Compression
Predictive Dynamic Layers:
Forecasts future price zones using historical volatility and momentum.
Tracks event probabilities like breakout, fakeout, and trend reversals.
Data Science Visuals:
Uses heatmap-style layers, moving waveforms, and price trajectory paths.
Interactive Alerts:
Real-time alerts for high-probability market events.
Marks critical zones for "buy," "sell," or "wait."
Key Features
Market Layers Grid:
Creates dynamic "boxes" around price using fractals and ATR-based volatility.
These boxes show potential future price zones and probabilities.
Volatility and Momentum Waves:
Overlay volatility oscillators and momentum bands for directional context.
Dynamic Heatmap Zones:
Colors the chart dynamically based on breakout probabilities and risk.
Price Path Prediction:
Tracks price trajectory as a moving "wave" across the grid.
How It Works
Grid Box Structure:
Upper and lower price levels are based on ATR (volatility) and plotted dynamically.
Dashed green/red lines show the grid for potential price expansion zones.
Heatmap Zones:
Colors the background based on probabilities:
Green: High breakout probability.
Blue: High consolidation probability.
Price Path Prediction:
Forecasts future price movements using momentum.
Plots these as a dynamic "wave" on the chart.
Momentum and Volatility Waves:
Shows the relationship between momentum and volatility as oscillating waves.
Helps identify when momentum exceeds volatility (potential breakouts).
Buy/Sell Signals:
Triggers when price approaches grid edges with strong momentum.
Provides alerts and visual markers.
Why Is It Revolutionary?
Grid and Wave Synergy:
Combines structural price zones (grid boxes) with real-time momentum and volatility waves.
Predictive Analytics:
Uses momentum-based forecasting to visualize what’s next, not just what’s happening.
Dynamic Heatmap:
Creates a living map of breakout/consolidation zones in real-time.
Scalable for Any Market:
Works seamlessly with forex, crypto, and stocks by adjusting the ATR multiplier and box length.
This indicator is not just a tool but a framework for understanding market dynamics at a deeper level. Let me know if you'd like to take it even further — for example, adding machine learning-inspired probability models or multi-timeframe analysis! 🚀
Multi-LTF Fisher Transform -AYNETJohn F. Ehlers is a renowned figure in the field of financial markets and technical analysis. With a strong background in engineering and digital signal processing (DSP), Ehlers has applied his expertise to the development of innovative technical indicators and trading systems. His work focuses on using mathematical concepts, particularly those from signal processing, to analyze financial data. THANKS.
Simple Explanation of the Code
This Pine Script code calculates and plots Fisher Transform values for up to 6 different timeframes. The user can enable or disable each timeframe, and each Fisher Transform line is displayed in a unique color. Labels at the end of the lines indicate the timeframe.
Key Components of the Code
User Inputs:
Timeframes: The user specifies up to 6 different timeframes (ltf_1, ltf_2, etc.).
Enable/Disable Options: The user can choose which timeframes to enable using checkboxes (enable_1, enable_2, etc.).
Fisher Transform Length: The number of periods (fisher_length) used to calculate the Fisher Transform.
Fisher Transform Calculation:
For each enabled timeframe, the Fisher Transform is calculated using the fisher_transform_func() function:
Lowest Low and Highest High over the given period are fetched.
The Fisher Transform formula normalizes the price and transforms it into an oscillating value.
Dynamic Plotting:
Each Fisher Transform is plotted in a unique color if the corresponding timeframe is enabled.
Labels are added at the end of the lines to indicate the timeframe (e.g., "15m", "1H").
Visual Enhancements:
Unique colors for each line (green, blue, orange, etc.).
Labels dynamically display the timeframe names.
What the Code Does
Calculates Fisher Transform:
For example, for a 15m timeframe:
Finds the lowest low and highest high over the specified period.
Applies the Fisher Transform formula to normalize and smooth the values.
Plots Active Timeframes:
Only the enabled timeframes are plotted.
Each enabled Fisher Transform is plotted as a separate line.
Adds Labels:
At the end of each plotted line, a label indicates which timeframe it represents.
How It Looks
Each active timeframe is displayed as a colored oscillating line on the chart.
Labels like "15m" or "1H" appear at the end of the lines.
Inactive timeframes are not shown.
User Interaction
Input Parameters:
Select the desired timeframes (e.g., "15m", "1H", "4H").
Enable or disable specific timeframes.
Adjust the Fisher Transform period length.
Output:
View Fisher Transform lines for active timeframes.
Use labels to identify which line corresponds to which timeframe.
Why It’s Useful
Multi-Timeframe Analysis:
Helps compare momentum across different timeframes.
Customizable:
Users can enable only the timeframes they want.
Visual Clarity:
Unique colors and labels make it easy to distinguish between timeframes.
If you need further simplifications or more details, feel free to ask! 😊
Position Size Calculator by Dr. Rahul Ware.Position Size Calculator
The Position Size Calculator script helps traders determine the optimal position size for their trades based on their account balance, risk percentage, and stop loss parameters. It calculates the number of shares to buy and the total position size in INR (Indian Rupees), providing a clear and concise way to manage risk effectively.
Key Features:
Account Balance Input: Specify your account balance in INR to tailor the position size calculations to your specific trading capital.
Risk Percentage Input: Define the percentage of your account balance you are willing to risk on each trade, ensuring you stay within your risk tolerance.
Stop Loss Options: Choose between using a fixed stop loss price or a stop loss percentage to calculate the risk amount per share.
Dynamic Stop Loss Line: The script plots a red dotted line representing the stop loss price on the chart, updating dynamically for the last bar.
Comprehensive Table Display: View key metrics, including account balance, risk percentage, amount at risk, current price, stop loss price, stop loss percentage, position size in INR, and the number of shares to buy, all in a neatly formatted table.
This tool is designed to enhance your trading strategy by providing precise position sizing, helping you manage risk effectively and make informed trading decisions. Use this script to optimize your trade sizes and improve your overall trading performance.
Smooth Price Oscillator [BigBeluga]The Smooth Price Oscillator by BigBeluga leverages John Ehlers' SuperSmoother filter to produce a clear and smooth oscillator for identifying market trends and mean reversion points. By filtering price data over two distinct periods, this indicator effectively removes noise, allowing traders to focus on significant signals without the clutter of market fluctuations.
🔵 KEY FEATURES & USAGE
● SuperSmoother-Based Oscillator:
This oscillator uses Ehlers' SuperSmoother filter, applied to two different periods, to create a smooth output that highlights price momentum and reduces market noise. The dual-period application enables a comparison of long-term and short-term price movements, making it suitable for both trend-following and reversion strategies.
// @function SuperSmoother filter based on Ehlers Filter
// @param price (float) The price series to be smoothed
// @param period (int) The smoothing period
// @returns Smoothed price
method smoother_F(float price, int period) =>
float step = 2.0 * math.pi / period
float a1 = math.exp(-math.sqrt(2) * math.pi / period)
float b1 = 2 * a1 * math.cos(math.sqrt(2) * step / period)
float c2 = b1
float c3 = -a1 * a1
float c1 = 1 - c2 - c3
float smoothed = 0.0
smoothed := bar_index >= 4
? c1 * (price + price ) / 2 + c2 * smoothed + c3 * smoothed
: price
smoothed
● Mean Reversion Signals:
The indicator identifies two types of mean reversion signals:
Simple Mean Reversion Signals: Triggered when the oscillator moves between thresholds of 1 and Overbought or between thresholds -1 and Ovesold, providing additional reversion opportunities. These signals are useful for capturing shorter-term corrections in trending markets.
Strong Mean Reversion Signals: Triggered when the oscillator above the overbought (upper band) or below oversold (lower band) thresholds, indicating a strong reversal point. These signals are marked with a "+" symbol on the chart for clear visibility.
Both types of signals are plotted on the oscillator and the main chart, helping traders to quickly identify potential trade entries or exits.
● Dynamic Bands and Thresholds:
The oscillator includes overbought and oversold bands based on a dynamically calculated standard deviation and EMA. These bands provide visual boundaries for identifying extreme price conditions, helping traders anticipate potential reversals at these levels.
● Real-Time Labels:
Labels are displayed at key thresholds and bands to indicate the oscillator’s status: "Overbought," "Oversold," and "Neutral". Mean reversion signals are also displayed on the main chart, providing an at-a-glance summary of current indicator conditions.
● Customizable Threshold Levels:
Traders can adjust the primary threshold and smoothing length according to their trading style. A higher threshold can reduce signal frequency, while a lower setting will provide more sensitivity to market reversals.
The Smooth Price Oscillator by BigBeluga is a refined, noise-filtered indicator designed to highlight mean reversion points with enhanced clarity. By providing both strong and simple reversion signals, as well as dynamic overbought/oversold bands, this tool allows traders to spot potential reversals and trend continuations with ease. Its dual representation on the oscillator and the main price chart offers flexibility and precision for any trading strategy focused on capturing cyclical market movements.
