Fx_Shepherd Lot Size Calculator [ALLDYN]This "Fx_Shepherd Lot Size Calculator" script is a basic yet essential tool designed for traders to calculate the appropriate lot size based on account balance, risk percentage, and stop-loss pips. It promotes disciplined risk management by ensuring that the user only risks a defined percentage of their account on each trade. The script also features a toggleable table that displays the account size, risk percentage, and calculated lot size, offering clear, real-time visualization for the user. This helps traders maintain consistency and avoid over-leveraging.
This "Fx_Shepherd Lot Size Calculator" script stands out as a unique utility for traders in several ways:
### 1. **Real-Time Lot Size Calculation**:
- The script provides an automatic, real-time calculation of the optimal lot size based on the account balance, risk percentage, and stop loss (SL) in pips. This offers traders immediate guidance on how much risk they are exposing their account to in each trade, streamlining risk management decisions.
### 2. **Dynamic Table Display**:
- The toggle-able table feature allows users to show or hide the lot size table on the chart. This makes the script non-intrusive for traders who may not want constant table overlays, providing more flexibility for chart space management.
### 3. **Customizable Inputs**:
- Inputs such as **balance**, **risk percentage**, and **stop loss** are easily configurable, allowing users to adjust the calculations to suit different trading strategies, account sizes, and risk tolerances.
- The `truncate()` function ensures the lot size is presented in a simple, rounded format, which is crucial for precise order placement and reduces the chance of errors.
### 4. **Responsive and Clean UI**:
- The table is color-coded for easy reading, with a sleek design that places key information — account size, risk percentage, and calculated lot size — in a clear, organized structure. The black background with white text for the data points improves readability, while the border and table cell colors (green and black) provide a professional look.
### 5. **Risk Management Focus**:
- The primary purpose of this script is to ensure that traders maintain consistent risk management by aligning their lot size with their defined risk per trade and stop loss distance. This automated approach to risk ensures that traders stay disciplined with risk exposure.
### 6. **Efficiency for All Trading Styles**:
- Whether a trader is scalping, day trading, or swing trading, this calculator adjusts dynamically, allowing it to be used across various timeframes and asset classes. It helps traders avoid manual calculations for each trade, thus improving efficiency and reducing human error.
### 7. **Non-Intrusive Clean-Up**:
- The feature to **clear** the table when not needed ensures the chart remains clean and decluttered when the table is hidden. This improves the user experience, especially for traders who switch between different strategies or charts.
Overall, this script combines simplicity and efficiency while being flexible enough to fit the needs of a broad spectrum of traders. Its focus on user customization, clean interface, and emphasis on risk management makes it a valuable tool for both novice and experienced traders.
การวิเคราะห์คลื่น
Inamdar Wave - Winning Wave
The **"Inamdar Wave"**, also known as the **"Winning Wave"**, is a cutting-edge market indicator designed to help traders ride the waves of momentum and capitalize on high-probability opportunities. With its unique ability to adapt to market shifts, the Inamdar Wave ensures you're always in sync with the market's most profitable moves, making it an indispensable tool for traders looking for consistent success.
### Key Features of the "Inamdar Wave":
1. **Dynamic Market Movement Detection**:
- The **Inamdar Wave** tracks the market’s momentum and identifies clear waves of movement, allowing traders to catch both upswings and downswings with ease.
- This indicator dynamically adjusts based on price action and volatility, ensuring you're always aligned with the market’s natural flow.
- Whether the market is trending or ranging, the **Inamdar Wave** keeps you on the right path, helping you surf the market's waves effortlessly.
2. **Highly Profitable Buy/Sell Signals**:
- The **Inamdar Wave** generates precise buy and sell signals that guide you to the most profitable entry and exit points.
- Its built-in filters ensure you avoid market noise, focusing only on high-probability trades that maximize your potential for profit.
- You’ll confidently enter trades at the start of each new wave, ensuring you ride the momentum for maximum gains.
3. **Visual Wave Highlighting**:
- Color-coded zones help you easily spot bullish (upward) and bearish (downward) waves.
- Green highlights signal upward waves, while red zones indicate downward waves, making it visually simple to recognize the current market direction.
- This feature allows for quick decision-making and a clear understanding of the market's direction at a glance.
4. **Tailored for Any Market Condition**:
- Whether you’re trading a calm or highly volatile market, the **Inamdar Wave** adapts to the changing conditions, ensuring consistent performance across all environments.
- Its flexibility allows it to work seamlessly with any asset class—stocks, forex, crypto, or commodities—making it an all-in-one solution for traders.
- The **Inamdar Wave**'s real-time adjustments keep it relevant regardless of market conditions or timeframes.
5. **Real-Time Alerts**:
- Get instant alerts when a new wave begins, whether it's a buy, sell, or wave reversal.
- You’ll never miss out on a profitable opportunity with real-time notifications that keep you one step ahead of the market.
- These alerts help you act quickly, maximizing the potential of every market movement.
### Inputs:
- **Wave Period**: Customize the sensitivity of the wave detection with adjustable periods to suit your trading style.
- **Signal Source**: Choose from different price sources to fine-tune how the **Inamdar Wave** reacts to market movements.
- **Signal Strength**: Control the sensitivity of wave detection to focus on only the strongest and most profitable moves.
- **Buy/Sell Signals**: Easily toggle buy/sell signals on your chart for enhanced clarity.
- **Wave Highlighting**: Turn visual wave highlights on or off, depending on your preference.
### Use Case:
The **Inamdar Wave** is perfect for traders looking to capture the most profitable waves in any market. Whether you're a short-term scalper or a long-term trend follower, this indicator keeps you in sync with the market’s natural rhythm, ensuring that you're always riding the winning wave. With its powerful buy/sell signals and dynamic wave detection, you'll be better positioned to take advantage of market momentum and secure consistent profits.
In conclusion, the **"Inamdar Wave"** is not just another indicator—it’s your key to riding the market’s most profitable waves with precision and confidence. By following the signals and staying in tune with the market’s natural flow, you’ll be able to maximize your gains and minimize your risks, ensuring a successful trading journey.
TechniTrend: Dynamic Local Fibonacci LevelsTechniTrend: Dynamic Local Fibonacci Levels
Description: The "Dynamic Local Fibonacci Levels" indicator dynamically displays Fibonacci levels only when the market is experiencing significant volatility. By detecting volatile price movements, this tool helps traders focus on Fibonacci retracement levels that are most relevant during high market activity, reducing noise from calm market periods.
Key Features:
Adaptive Fibonacci Levels: The indicator calculates and plots Fibonacci levels (from 0 to 1) only during periods of high volatility. This helps traders focus on actionable levels during significant price swings.
Customizable Chart Type: Users can choose between Candlestick charts (including shadows) or Line charts (excluding shadows) to determine the high and low price points for Fibonacci level calculations.
Volatility-Based Detection: The Average True Range (ATR) is used to detect significant volatility. Traders can adjust the ATR multiplier to fine-tune the sensitivity of the indicator to price movements.
Fully Customizable Fibonacci Levels: Traders can modify the default Fibonacci levels according to their preferences or trading strategies.
Real-Time Volatility Confirmation: Fibonacci levels are displayed only if the price range between the local high and low exceeds a user-defined volatility threshold, ensuring that these levels are only plotted when the market is truly volatile.
Customization Options:
Chart Type: Select between "Candles (Includes Shadows)" and "Line (Excludes Shadows)" for detecting price highs and lows.
Length for High/Low Detection: Choose the period for detecting the highest and lowest price in the given time frame.
ATR Multiplier for Volatility Detection: Adjust the sensitivity of the volatility threshold by setting the ATR multiplier.
Fibonacci Levels: Customize the specific Fibonacci levels to be displayed, from 0 to 1.
Usage Tips:
Focus on Key Levels During Volatility: This indicator is best suited for periods of high volatility. It can help traders identify potential support and resistance levels that may be more significant in turbulent markets.
Adjust ATR Multiplier: Depending on the asset you're trading, you might want to fine-tune the ATR multiplier to better suit the market conditions and volatility.
Recommended Settings:
ATR Multiplier: 1.5
Fibonacci Levels: Default levels set to 0.00, 0.114, 0.236, 0.382, 0.5, 0.618, 0.786, and 1.0
Length for High/Low Detection: 55
Use this indicator to detect key Fibonacci retracement levels in volatile market conditions and make more informed trading decisions based on price dynamics and volatility.
Big 5 Checklist | XEONEDIAThe Big 5 Checklist | XEONEDIA indicator is a powerful trading tool designed to help traders prepare their trading decisions in a structured and effective manner. The indicator encompasses five key areas:
Strategy Documentation :
✅ Ensure that the trading strategy is clearly defined and documented.
✅ Conduct backtesting.
✅ Perform demo testing with an 80% success rate.
✅ Analyze trading results.
✅ Regularly refine the strategy.
Risk Management :
✅ Minimize financial losses and ensure responsible trading.
✅ Set a risk limit of 1-2%.
✅ Use stop-loss orders.
✅ Ensure a risk-reward ratio of at least 2:1.
✅ Adjust position sizes.
Technical Analysis :
✅ Evaluate charts and indicators to identify trading opportunities.
✅ Identify support and resistance levels.
✅ Use technical indicators (e.g., RSI).
✅ Set entry and exit points.
✅ Establish alerts for specific market conditions.
Market Conditions :
✅ Consider external factors that may influence trading.
✅ Monitor the economic calendar.
✅ Apply fundamental analysis.
✅ Observe market volatility.
✅ Analyze global trends.
Psychological Management :
✅ Control emotions and mindset during trading.
✅ Adhere to the trading plan.
✅ Manage emotions while trading.
✅ Set realistic expectations.
✅ Take regular mental breaks.
Mastercheck
The Mastercheck provides a digital checklist where traders can track their progress live. Users can make their own notes and view their checklist on any TradingView device, ensuring they stay informed about their trading readiness and can make adjustments in real-time. ✅
Overall, the Big 5 Checklist | XEONEDIA indicator helps minimize risks and maximize the chances of successful trades by promoting systematic and comprehensive trading preparation.
MCDX+RSI+SMA[THANHCONG]### Detailed Analysis of the MCDX+RSI+SMA Indicator
The MCDX+RSI+SMA indicator is designed to help investors conduct a deeper analysis of market trends by combining multiple technical factors into a single chart. This integration of popular indicators such as RSI, SMA, and Stochastic RSI provides investors with a comprehensive view of market movements, particularly in distinguishing between "Banker" and "Hot Money"—representing large and small capital flows.
#### Key Components of the Indicator:
1. **RSI for Banker and Hot Money:**
- **RSI (Relative Strength Index)** is a momentum oscillator that measures the speed and change of price movements, indicating overbought or oversold conditions. In this indicator, there are two distinct RSI lines configured for Banker (large capital) and Hot Money (small capital).
- Investors can adjust parameters like the RSI calculation period, baseline levels, and sensitivity for each type of capital flow, providing flexibility to adapt to varying market conditions.
2. **Moving Average (MA) of RSI:**
- The indicator employs two common types of Moving Averages: **SMA (Simple Moving Average)** and **EMA (Exponential Moving Average)**. These help smooth the RSI signals for Banker, offering a clearer view of the long-term trend of large capital in the market.
- Investors can select the type and period of the MA, allowing them to optimize the indicator for their trading style.
3. **Stochastic RSI:**
- The **Stochastic RSI** is incorporated to monitor overbought and oversold conditions over a specified timeframe. Parameters related to %K and %D of the Stochastic can also be adjusted to refine the accuracy of market signal analysis.
- A notable feature is the normalization of %K and %D on a 0-20 scale, making these lines compatible with other RSI charts, thus providing consistency in evaluating market strength.
4. **Overbought and Oversold Levels:**
- The indicator includes reference lines for overbought and oversold levels, aiding investors in identifying potential reversal zones in the market. This helps to avoid buying at excessively high prices or selling at excessively low prices.
#### Benefits for Investors:
- **Comprehensive View:** The indicator combines insights from both large (Banker) and small (Hot Money) capital flows, enabling investors to analyze not just trends but also the participation of each type of capital in the market.
- **Enhanced Technical Analysis:** By integrating multiple technical indicators within a single chart, investors can track important factors such as market momentum, overbought/oversold conditions, and capital flow shifts without needing to switch between various charts.
- **Flexibility and Customization:** The indicator allows adjustment of key parameters like the RSI period, sensitivity, type of MA, and Stochastic RSI settings, enabling investors to tailor the indicator to their trading strategy and timeframe.
- **Higher Reliability:** The combination of indicators like RSI, Stochastic RSI, and MA helps investors confirm trading signals more confidently. For instance, when both RSI and Stochastic RSI indicate overbought conditions, the likelihood of a reversal may be higher, reducing risk for investors.
#### Unique Features of the Indicator:
The MCDX+RSI+SMA indicator is a unique tool that integrates various market analysis factors into a single framework. This not only provides investors with a complete view of capital flows but also aids in optimizing decision-making based on multiple market aspects. Furthermore, its customizable parameters make it suitable for various trading strategies, from short-term to long-term.
Absolute ZigZagThis ZigZag Indicator is a bit unique in it's kind.
It uses my own Absolute ZigZag Lib to calculate the pivots:
Instead of using percentages or looking more than 1 bar left or right, this Zigzag library calculates pivots by just looking at the current bar highs and lows and the ones of one bar earlier. This is a very fast and accurate way of calculating pivots.
The library also features a solution for bars that have both a higher high and a higher low like seen below.
You can also use your own colors for the labels and the lines:
You can also quickly select a one-colored theme without changing all colors at once:
Market Structure Inducements ICT [TradinFinder] CHoch BOS Sweeps🔵 Introduction
Market Structure is the foundation for identifying trends in the market, crucial in technical analysis and strategies like ICT and SMC. Understanding key concepts such as Break of Structure (BOS) and Change of Character (CHOCH) helps traders recognize critical shifts in the market. BOS, referring to a Market Structure Change (BMS), and CHOCH or Market Structure Shift (MSS) signal trend reversals in the market.
Additionally, the concept of Inducement, a vital tool in Smart Money strategies, allows traders to avoid price traps. Identifying valid pullback, valid inducement, POI, and Liquidity Grab helps traders find optimal entry and exit points and leverage Smart Money movements effectively.
Bullish Market Structure :
Bearish Market Structure :
🔵 How to Use
The Market Structure indicator is designed to help traders better understand market structure and detect price traps. By using this indicator, you can identify the right entry and exit points based on structural changes in the market and avoid unprofitable trades. Below, we explain the key concepts and how to apply them in trading.
🟣 Market Structure
Market Structure refers to the overall pattern of price movement in the market. Using this indicator, traders can identify uptrends and downtrends and make better trading decisions based on changes in market structure. The two key concepts here are Break of Structure (BOS) and Change of Character (CHOCH).
Change of Character (CHOCH) : CHOCH occurs when the market shifts from an uptrend to a downtrend or vice versa. These changes typically indicate a broader trend reversal, and the indicator assists you in identifying them accurately.
Break of Structure (BOS) : When the market breaks a key support or resistance level, it signals a change in market structure. This indicator helps you identify these breakouts in time and take advantage of trading opportunities.
🟣 Inducement
Inducement refers to price traps set by Smart Money to trick retail traders into making the wrong trades. This indicator helps you recognize these traps and avoid unprofitable trades.
Valid Inducement : Valid Inducement refers to deliberately created price traps by major market players to gather liquidity from retail traders. Once the market has collected sufficient liquidity, it makes the real move, and professional traders use this moment to enter.
🟣 Valid Pullback
A Valid Pullback refers to a temporary market retracement, indicating a price correction within the main trend. This concept is crucial in technical analysis as it helps traders enter trades at the right time and profit from the continuation of the trend. The Market Structure indicator can identify these valid retracements, allowing traders to enter trades with greater confidence.
🟣 Point of Interest (POI)
Another important concept in market analysis is the Point of Interest (POI), referring to key price areas on the chart. POI includes zones where significant price movements are likely to occur. The Market Structure indicator helps you locate these key points and use them as entry signals for trades.
🟣 Liquidity Grab
Liquidity Grab refers to a scenario where the market intentionally moves to areas where retail traders' stop losses are placed. The goal is to gather liquidity, allowing major players to execute trades at better prices. By using this indicator, you can spot these liquidity grabs and avoid falling into price traps.
🔵 Setting
ChoCh Detector Period : The period of identifying the major market levels that occur when they break ChoCh.
BoS & Liquidity Detector Period : The period of identifying minor levels, which are used to identify BoS and Liquidity levels.
Inducement Detector Period : The period of identification of Inducement levels.
Fast Trend Detector : This feature will help you update the major market structure levels sooner.
Inducement Type Detector : Two modes "Sweeps" and "Total" can be used to identify the levels of Inducement. In "Sweeps" mode only Levels detected by touch shadow. In "Total" mode, all Levels are detected.
🔵 Conclusion
In financial market analysis and forex trading, identifying Market Structure and Inducement is crucial. Market Structure helps you detect uptrends and downtrends, and understand Break of Structure (BOS) and Change of Character (CHOCH). The concept of Inducement also enables traders to spot Smart Money price traps and avoid unprofitable trades.
The Market Structure indicator is a powerful tool that, by analyzing the market structure and concepts like valid pullback and valid inducement, helps you make more precise trade entries. Additionally, by identifying POI and Liquidity Grab, the indicator gives you the ability to spot key market zones and use them to your advantage in trading.
Custom Buy BID StrategyThis Pine Script strategy is designed to identify and capitalize on upward trends in the market using the Average True Range (ATR) as a core component of the analysis. The script provides the following features:
Customizable ATR Calculation: Users can switch between different methods of ATR calculation (traditional or simple moving average).
Adjustable Parameters: The strategy allows for adjustable ATR periods, ATR multipliers, and custom time windows for executing trades.
Buy Signal Alerts: The strategy generates buy signals when the market shifts from a downtrend to an uptrend, based on ATR and price action.
Profit and Stop-Loss Management: Built-in take profit and stop-loss conditions are calculated as a percentage of the entry price, allowing for automatic position management.
Visual Enhancements: The script highlights the uptrend with green lines and optionally colors bars to help visualize market direction.
Flexible Timeframe: Users can configure a specific date range to activate the strategy, offering more control over when trades are executed.
This strategy is ideal for traders looking to automate their buy entries and manage risk with a straightforward trend-following approach. By utilizing customizable settings, it adapts to various market conditions and timeframes.
[BRAIN] Absolute Volatility of Price
Hello traders!
Today I want to share with you a series of scripts and strategies that I developed a few years ago. This is one of my first works, born from the curiosity of seeing a candlestick representation in a different way, without considering the price movement along the y-axis.
Imagine observing the price movement in dollars and percentages, always starting from the same reference point: the 0 axis. This approach can offer new insights and ideas on how and how much prices move.
To explain it better, the open of each candle does not start from the previous close negotiations but always starts from the 0 axis . In this way, it is possible to clearly compare the bodies of the candles with each other.
Script Visualization Methods and Input
- Study Normal: Simply reports the prices, including the negative ones of the red candles, on the same scale in absolute terms (ABS), as shown in the first indicator above.
- Study Normal Neg: In this version, the red candles vary negatively below zero, instead of in absolute terms above zero, as shown in the second indicator above.
- Study Perc: Similar to "Study Normal" but uses percentage values instead of dollars, useful for very low timeframes and low variations with many decimals, such as 1 minute on EUR/USD.
- Study Perc Neg: Similar to "Study Normal Neg" but uses percentage values.
Additionally, I have added the possibility to display or not, through two buttons, an average of the candle bodies adjustable in length via input and the range of each candle, always correlated in dollars or percentages, as per the main study setting.
I hope this work can be useful to many of you. I invite you to like if you appreciate my scripts and want to see more like these. Do not hesitate to comment or contact me for any doubts or questions.
PS: If you notice that in the script the sum of the percentage values between the shadow and the body of the candle does not correspond to the range, it is only a rounding issue. Change the precision setting to a lower value and you will see that the rounding disappears.
PS: In the script, to better visualize the percentage growth and decline of the instrument on very high timeframes, I decided to represent it as follows:
- If close ≥ open: (high - low) / low * 100
- If close < open: (high - low) / high * 100
The same method is also applied for calculating the percentage variations of the shadows relative to themselves.
I hope you like this version! If you need any further modifications or adjustments, let me know. Good luck with your project!
(In the photos below I show 3 versions of the indicator open on 3 different tickers as an example: from top to bottom in the 3 indicators are set these Study: Study Normal, Study Perc and Study Perc Neg)
Volume Wave Trend ConfirmationUtility of the Indicator
The core utility of this indicator lies in its ability to utilize volume, a less frequently exploited metric in MACD analysis, providing several strategic advantages:
Trend Confirmation: By focusing on volume, the indicator confirms whether movements in price are backed by significant trading activity. A rising MACD line above the signal line, paired with increasing volume, can confirm the strength of an uptrend. Conversely, if the histogram turns negative while the MACD line falls below the signal line during a price drop, it confirms a robust downtrend.
Early Warning Signals: Changes in the histogram and divergences between the MACD and Signal lines can serve as early warnings of potential reversals or slowdowns in market momentum. For instance, a shrinking histogram in an uptrend might suggest that the upward movement is losing steam.
Market Sentiment: The integration of volume into the MACD framework allows the indicator to provide insights into underlying market sentiment. Higher volumes during price movements indicate stronger conviction among traders, making the trend more reliable.
Indicator Functionality
The "Volume Wave Trend Confirmation" indicator is built on the Moving Average Convergence Divergence (MACD) framework, but with a unique twist: it uses the smoothed moving averages (SMA) of trading volumes instead of price. The indicator calculates two specific SMAs of the volume — a shorter 33-period SMA and a longer 100-period SMA — and computes their difference. This difference is then used as the input for the MACD calculation, with typical parameters set at 12, 26, and a signal line of 9.
MACD Line (Blue): Represents the main line, calculated as the difference between the 12-period and 26-period exponential moving averages (EMA) of the volume difference.
Signal Line (Orange): A 9-period EMA of the MACD line, acting as a trigger for buy or sell signals.
Histogram (Blue/Purple): Measures the distance between the MACD line and the Signal line, colored blue when positive (above the Signal line) and purple when negative (below the Signal line).
DCA, Support and Resistance with RSI and Trend FilterThis script is based on
script from Kieranj with added pyramiding and DCA
The buy condition (buyCondition) is triggered when the RSI crosses above the oversold threshold (ta.crossover(rsi, oversoldThreshold)), the trend filter confirms an uptrend (isUptrend is true), and the close price is greater than or equal to the support level (close >= supportLevel).
The partial sell condition (sellCondition) is triggered when the RSI crosses below the overbought threshold (ta.crossunder(rsi, overboughtThreshold)) and profit goal is reached, the trend filter confirms a downtrend (isUptrend is false), and the close price is less than or equal to the resistance level (close <= resistanceLevel).
Full sell will be triggered if trend is broken and profit goal is reached
With this implementation, the signals will only be generated in the direction of the trend on the 4-hour timeframe. The trend is considered up when the 50-period SMA is below the 200-period SMA (ta.sma(trendFilterSource, 50) < ta.sma(trendFilterSource, 200)).
Pyramiding should be activated, values like 100, so every DCA step should be around 1%
i have best results on 5 min charts
Gaussian Filter [BigBeluga]The Gaussian Filter - BigBeluga indicator is a trend-following tool that uses a Gaussian filter to smooth price data and identify directional shifts in the market. It provides dynamic signals for entering and exiting trades based on trend changes, helping traders stay aligned with the market's momentum. What sets this indicator apart is its ability to display precise entry and exit points with real-time tracking of percentage price changes, making it ideal for trend-based strategies.
SP500:
NIFTY50:
🔵 KEY FEATURES & USAGE
◉ Gaussian Filter Trend Line:
//@function GaussianFilter is used for smoothing, reducing noise, and computing derivatives of data.
//@param src (float) The source data (e.g., close price) to be smoothed.
//@param params (GaussianFilterParams) Gaussian filter parameters that include length and sigma.
//@returns (float) The smoothed value from the Gaussian filter.
gaussian_filter(float src, params) =>
var float weights = array.new_float(params.length) // Array to store Gaussian weights
total = 0.0
pi = math.pi
for i = 0 to params.length - 1
weight = math.exp(-0.5 * math.pow((i - params.length / 2) / params.sigma, 2.0))
/ math.sqrt(params.sigma * 2.0 * pi)
weights.set(i, weight)
total := total + weight
for i = 0 to params.length - 1
weights.set(i, weights.get(i) / total)
sum = 0.0
for i = 0 to params.length - 1
sum := sum + src * weights.get(i)
sum
The core functionality of the Gaussian Filter line is to show trend direction. When the trend line increases four times consecutively, it indicates an uptrend signal. Similarly, if it decreases four times in a row, it signals a downtrend. The smoothness of the filter helps traders stay on the right side of the market by filtering out noise and emphasizing the dominant trend direction.
◉ Entry and Exit Levels with Real-Time Price and Performance Data:
Each time the indicator detects a trend change, it plots an entry or exit level on the chart. For an uptrend, an entry level is marked, and for a downtrend, an exit level is plotted. These levels display the price at the time of the signal.
While the trend is ongoing, the indicator tracks the percentage change in price from the initial entry or exit signal to the current bar, updating in real-time. When a trend concludes, it displays the total percentage change from the entry or exit point to the trend's end. This feature provides valuable insights into how much the price has moved during each trend phase and allows traders to monitor the performance of each trade.
◉ Color-Coded Candlestick Representation with Trend Shift Alerts:
In addition to coloring the candlesticks based on the trend direction, the indicator also uses gray candles to highlight potential early trend shifts. For example, if the Gaussian Filter detects a downtrend but the price moves above the filter line, the candles turn gray, signaling a possible reversal or shift in momentum. Similarly, in an uptrend, if the price moves below the Gaussian Filter line, the candles turn gray as an early indication of potential bearish momentum. This visual cue helps traders stay alert to possible faster shifts in market direction, allowing for quicker decision-making.
🔵 CUSTOMIZATION
Length and Sigma for Gaussian Filter:
Adjust the length and sigma parameters to control how the Gaussian Filter smooths the price data. A longer length provides smoother trend lines, while adjusting sigma can fine-tune the level of smoothing applied.
Levels Display and Candle Coloring:
You can toggle the visibility of entry and exit levels as well as enable or disable the dynamic coloring of candlesticks based on the trend direction. The additional gray color setting provides an extra layer of information, allowing you to spot potential trend reversals early.
🔵 CONCLUSION
The Gaussian Filter indicator is a powerful tool for identifying and following market trends. By providing clear entry and exit signals, along with real-time tracking of price changes, it gives traders a structured way to manage trades and monitor performance. The color-coded candles, including gray to highlight possible trend shifts, add another dimension to visualizing market dynamics. The added flexibility of customizing colors and trend levels makes it a versatile indicator suitable for both trend-following and reversal strategies.
COMBINED EMA & SMA + DOUBLE DEMA, $TOTAL 1W / 5D -- Ruslan CRYPTOCAP:TOTAL
This Pine Script indicator, **"EMAS"**, provides an enhanced visualization of multiple types of moving averages, including both **Exponential Moving Averages (EMA)**, **Simple Moving Averages (SMA)**, and **Double Exponential Moving Averages (DEMA)**. It allows the user to observe the relationship between these different types of moving averages and apply regime-based coloring to price bars based on the comparison between the EMAs and DEMAs.
#### Key Features:
1. **EMA & SMA:**
- **EMA (Exponential Moving Average):** Calculated using a customizable lookback period (default 17), the EMA places greater weight on more recent prices, making it react faster to price changes.
- **SMA (Simple Moving Average):** Uses an equal-weighted average over a customizable lookback period (default 14), providing a slower-moving average compared to the EMA.
2. **DEMA (Double Exponential Moving Average):**
- Two separate DEMA lines are plotted using different lookback periods (default 2 and 14). The DEMA is a smoother and faster-responding version of the EMA, intended to reduce lag while retaining trend-following characteristics.
3. **Combined Signals:**
- The script calculates ratios between EMA/SMA (`comb`) and DEMA1/DEMA2 (`combd`) to generate a **regime-based bar coloring system**:
- If `combd > comb`: The bars are colored **green**, indicating that DEMAs are outperforming the EMAs, potentially signaling a stronger trend or momentum.
- If `comb > combd`: The bars are colored **red**, suggesting that the EMAs are dominant, which may indicate a different phase of the market.
4. **Signal SMA:**
- A 21-period **SMA** is plotted as a general trend-following signal. It provides a broader perspective on the current price trend, helping to smooth out short-term fluctuations.
5. **Customizable Options:**
- **"Show MAs?"**: The user has the option to toggle the display of the EMA, SMA, and DEMA lines on or off.
- **Custom Period Inputs**: Each type of moving average can have its period length customized via the input settings for better adaptability to different market conditions.
#### How to Use the Indicator:
- **Trend Following**:
The **EMA, SMA, and DEMA** values can help you determine the direction of the trend. When the EMA is above the SMA, it could indicate a stronger, more recent upward momentum. Similarly, DEMA comparisons provide smoother and faster trend signals.
- **Bar Coloring Regime**:
The **bar color** gives a quick visual cue of the regime:
- **Green bars** suggest that DEMAs are indicating stronger bullish or bearish signals compared to the EMAs.
- **Red bars** imply the opposite, where EMAs may be showing stronger signals, but possibly with more noise or lag.
- **Signal SMA**:
The **21-period SMA** line can be used as a simple trend indicator. When the price is above this line, it could signify an uptrend, while price movement below the line might indicate a downtrend.
#### Custom Inputs:
- **EMA Length**: Default is 17, but can be adjusted to fit your trading style.
- **SMA Length**: Default is 14.
- **DEMA Lengths**: Two customizable inputs for DEMA (default 2 and 14).
- **Source Selection**: You can choose which price source (close, open, high, low, etc.) to use for each calculation (default is the closing price).
#### Conclusion:
This indicator is useful for traders who wish to blend **trend-following strategies** (using EMA, SMA, and DEMA) with **visual regime indicators** (bar coloring). It is highly customizable, allowing traders to adjust settings based on their market approach. The combination of EMAs and DEMAs provides a nuanced view of price dynamics, potentially leading to better-informed trading decisions.
GKD-C Wavelet Oscillator [Loxx]The Giga Kaleidoscope GKD-C Wavelet Oscillator is a Confirmation module included in AlgxTrading's "Giga Kaleidoscope Modularized Trading System."
█ GKD-C Wavelet Oscillator, a brief overview
The Wavelet Oscillator is an advanced technical analysis tool that integrates wavelet transformations with the Kalman filter to provide a nuanced understanding of market trends and momentum. At the heart of this oscillator is the Haar wavelet transform, a mathematical technique that breaks down price data into different frequency components. The Haar transform works by analyzing the price series in pairs, calculating the average and difference between adjacent data points, effectively separating the underlying signal (trend) from noise or minor fluctuations. This decomposition allows the oscillator to isolate significant price movements and reconstruct them with greater clarity through the inverse Haar transform. The Kalman filter is then applied to further smooth the signal, refining the data and reducing the impact of short-term volatility.
This process enhances the oscillator's ability to detect subtle shifts in market dynamics that might be missed by conventional indicators. The GKD-C Wavelet Oscillator utilizes these refined signals to generate two types of trading signals: Zero-line crosses, where the oscillator moves above or below a central reference point, indicating potential bullish or bearish momentum, and Signal crosses, where the current oscillator value crosses its previous value, signaling possible trend reversals. These features make the Wavelet Oscillator particularly effective in identifying key turning points in the market, providing traders with a powerful tool for anticipating and responding to changes in price momentum within the GKD trading system. (Read the sections below to learn how traders can test these different signal types using AlgxTrading's GKD trading system.)
GKD-C Wavelet Oscillator in Zero-line crosses mode
GKD-C Wavelet Oscillator in Signal crosses mode
To explain the features included in the GKD-C Wavelet Oscillator, let's first dive into the details of the Giga Kaleidoscope (GKD) Modularized Trading System.
█ Giga Kaleidoscope (GKD) Modularized Trading System
The GKD Trading System is a comprehensive, algorithmic trading framework from AlgxTrading, designed to optimize trading strategies across various market conditions. It employs a modular approach, incorporating elements such as volatility assessment, trend identification through a baseline, multiple confirmation strategies for signal accuracy, and volume analysis. Key components also include specialized strategies for entry and exit, enabling precise trade execution. The system allows for extensive backtesting, providing traders with the ability to evaluate the effectiveness of their strategies using historical data. Aimed at reducing setup time, the GKD system empowers traders to focus more on strategy refinement and execution, leveraging a wide array of technical indicators for informed decision-making.
🔶 Core components of a GKD Algorithmic Trading System
Each GKD indicator is denoted with a module identifier of either: GKD-BT, GKD-B, GKD-C, GKD-V, GKD-M, or GKD-E. This allows traders to understand to which module each indicator belongs and where each indicator fits into the GKD system. The GKD algorithm is built on the principles of trend, momentum, and volatility. There are eight core components in the GKD trading algorithm:
🔹 Volatility - In the GKD trading system, volatility is used as a part of the system to help determine the appropriate stop loss and take profit levels for a trade. There are 17+ different types of volatility available in the GKD system including Average True Range (ATR), True Range Double (TRD), Close-to-Close, Garman-Klass, and more.
🔹 Baseline (GKD-B) - The baseline is essentially a moving average and is used to determine the overall direction of the market. The baseline in the GKD trading system is used to filter out trades that are not in line with the long-term trend of the market. The baseline is plotted on the chart along with other GKD indicators.
Trades are only taken when the price is in the same direction as the baseline. For example, if the baseline is sloping upwards or price is above the baseline, then only long trades are taken, and if the baseline is sloping downwards or price is below the baseline, then only short trades are taken. This approach helps to ensure that trades are in line with the overall trend of the market, and reduces the risk of entering trades that are likely to fail.
🔹 Confirmation 1, Confirmation 2, Continuation (GKD-C) - The GKD trading system incorporates technical confirmation indicators for the generation of its primary long and short signals, essential for its operation.
The GKD trading system distinguishes three specific categories. The first category, Confirmation 1, encompasses technical indicators designed to identify trends and generate explicit trading signals. The second category, Confirmation 2, a technical indicator used to identify trends; this type of indicator is primarily used to filter the Confirmation 1 indicator signals; however, this type of confirmation indicator also generates signals*. Lastly, the Continuation category includes technical indicators used in conjunction with Confirmation 1 and Confirmation 2 to generate a special type of trading signal called a "Continuation"
In a full GKD trading system all three categories generate signals. (see the section “GKD Trading System Signals” below)
🔹 Volatility/Volume (GKD-V) - Volatility/Volume indicators are used to measure the amount of buying and selling activity in a market. They are based on the trading Volatility/Volume of the market, and can provide information about the strength of the trend. In the GKD trading system, Volatility/Volume indicators are used to confirm trading signals generated by the various other GKD indicators. In the GKD trading system, Volatility is a proxy for Volume and vice versa.
Volatility/Volume indicators reduce the risk of false signals and improve the overall profitability of trades. These indicators can provide additional information about the market that is not captured by GKD-C confirmation and GKD-B baseline indicators.
🔹 Exit (GKD-E) - The exit indicator in the GKD system is an indicator that is deemed effective at identifying optimal exit points. The purpose of the exit indicator is to identify when a trend is likely to reverse or when the market conditions have changed, signaling the need to exit a trade. By using an exit indicator, traders can manage their risk and prevent significant losses.
🔹 Backtest (GKD-BT) - The GKD-BT backtest indicators link all other GKD-C, GKD-B, GKD-E, GKD-V, and GKD-M components together to create a GKD trading system. GKD-BT backtests generate signals (see the section “GKD Trading System Signals” below) from the confluence of various GKD indicators that are imported into the GKD-BT backtest. Backtest types include: GKD-BT solo and full GKD backtest strategies used for a single ticker; GKD-BT optimizers used to optimize a single indicator or the full GKD trading system; GKD-BT Multi-ticker used to backtest a single indicator or the full GKD trading system across up to ten tickers; GKD-BT exotic backtests like CC, Baseline, and Giga Stacks used to test confluence between GKD components to then be injected into a core GKD-BT Multi-ticker backtest or single ticker strategy.
🔹 Metamorphosis (GKD-M)** - The concept of a metamorphosis indicator involves the integration of two or more GKD indicators to generate a compound signal. This is achieved by evaluating the accuracy of each indicator and selecting the signal from the indicator with the highest accuracy. As an illustration, let's consider a scenario where we calculate the accuracy of 10 indicators and choose the signal from the indicator that demonstrates the highest accuracy.
The resulting output from the metamorphosis indicator can then be utilized in a GKD-BT backtest by occupying a slot that aligns with the purpose of the metamorphosis indicator. The slot can be a GKD-B, GKD-C, GKD-E, or GKD-V slot, depending on the specific requirements and objectives of the indicator. This allows for seamless integration and utilization of the compound signal within the GKD-BT framework.
*(see the section “GKD Trading System Signals” below)
**(not a required component of the GKD algorithm)
🔶 What does the application of the GKD trading system look like?
Example trading system:
Volatility: Average True Range (ATR) (selectable in all backtests and other related GKD indicators)
GKD-B Baseline: GKD-B Multi-Ticker Baseline using Hull Moving Average
GKD-C Confirmation 1: GKD-C Advance Trend Pressure
GKD-C Confirmation 2: GKD-C Dorsey Inertia
GKD-C Continuation: GKD-C Stochastic of RSX
GKD-V Volatility/Volume: GKD-V Damiani Volatmeter
GKD-E Exit: GKD-E MFI
GKD-BT Backtest: GKD-BT Multi-Ticker Full GKD Backtest
GKD-M Metamorphosis: GKD-M Baseline Optimizer
**all indicators mentioned above are included in the same AlgxTrading package**
Each module is passed to a GKD-BT backtest module. In the backtest module, all components are combined to formulate trading signals and statistical output. This chaining of indicators requires that each module conform to AlgxTrading's GKD protocol, therefore allowing for the testing of every possible combination of technical indicators that make up the various indictor types in the GKD algorithm.
🔶 GKD Trading System Signals
🔹 Standard Entry requires a sequence of conditions including a confirmation signal from GKD-C, baseline agreement, price criteria related to the Goldie Locks Zone, and concurrence from a second confirmation and volatility/volume indicators.
🔹 1-Candle Standard Entry introduces a two-phase process where initial conditions must be met, followed by a retraction in price and additional confirmations in the subsequent candle, including baseline, confirmations 1 and 2, and volatility/volume criteria.
🔹 Baseline Entry focuses on signals generated by the GKD-B Baseline, requiring agreement from confirmation signals, specific price conditions within the Goldie Locks Zone, and a timing condition related to the confirmation 1 signal.
🔹 1-Candle Baseline Entry mirrors the baseline entry but adds a requirement for a price retraction and subsequent confirmations in the following candle, maintaining the focus on the baseline's guidance.
🔹 Volatility/Volume Entry is predicated on signals from volatility/volume indicators, requiring support from confirmations, price criteria within the Goldie Locks Zone, baseline agreement, and a timing condition for the confirmation 1 signal.
🔹 1-Candle Volatility/Volume Entry adapts the volatility/volume entry to include a phase of initial signal and agreement, followed by a retracement phase that seeks further agreement from the system's components in the subsequent candle.
🔹 Confirmation 2 Entry is based on the second confirmation signal, requiring the first confirmation's agreement, specific price criteria, agreement from volatility/volume indicators, and baseline, with a timing condition for the confirmation 1 signal.
🔹 1-Candle Confirmation 2 Entry adds a retracement requirement to the confirmation 2 entry, necessitating additional agreements from the system's components in the candle following the signal.
🔹 PullBack Entry initiates with a baseline signal and agreement from the first confirmation, with a price condition related to volatility. It then looks for price to return within the Goldie Locks Zone and seeks further agreement from the system's components in the subsequent candle.
🔹 Continuation Entry allows for the continuation of an active position, based on a previously triggered entry strategy. It requires that the baseline hasn't crossed since the initial trigger, alongside ongoing agreements from confirmations and the baseline.
█ GKD-C Wavelet Oscillator, a deep dive
Now that you have a basic understanding of the GKD trading system. let's dive deeper into the features included in the GKD-C Wavelet Oscillator
🔶 GKD-C Wavelet Oscillator Modes aka "Confirmation Type"
The GKD-C Wavelet Oscillator has 4 modes: Confirmation for confirmation 1 and 2; Continuation; Multi-ticker for multi-ticker confirmation 1 and 2; and Optimizer.
🔹 Confirmation: When in this mode, the GKD-C Wavelet Oscillator generates confirmation 1 and 2 signals. These values can then be exported to a GKD-BT backtest strategy.
Signal Key: L = Long, S = Short
GKD-C Wavelet Oscillator in Confirmation mode
Confirmation Exports
GKD-C Wavelet Oscillator in attached to a GKD-BT backtest strategy
**the backtest data rendered to the chart above uses $5 commission per trade and 10% equity per trade with $1 million initial capital. Each backtest result for each ticker assumes these same inputs. The results are NOT cumulative, they are separate and isolated per ticker and trading side, long or short**
🔹 Continuation: When in this mode, the GKD-C Wavelet Oscillator generates continuation signals.
Signal Key: L = Long, S = Short, CL = Continuation Long, CS = Continuation Short
GKD-C Wavelet Oscillator in Continuation mode
Continuation Exports
🔹 Multi-ticker: When in this mode, the GKD-C Wavelet Oscillator generates multi-ticker confirmation 1 and 2. This mode allows users to generate confirmation 1 and 2, and continuation signals for up to 10 different tickers. These values can then be exported to a GKD-BT Multi-ticker backtest.
Signal Key: L = Long, S = Short
GKD-C Wavelet Oscillator in Multi-ticker mode
Multi-ticker Exports
GKD-C Wavelet Oscillator attached to the GKD-BT Multi-ticker SCS Backtest
**the backtest data rendered to the chart above uses $5 commission per trade and 10% equity per trade with $1 million initial capital. Each backtest result for each ticker assumes these same inputs. The results are NOT cumulative, they are separate and isolated per ticker and trading side, long or short**
🔹 Optimizer: When in this mode, the GKD-C Wavelet Oscillator generates optimization signals. These signals allow the user to backtest a range of input values. These values are exported to a GKD-BT optimizer backtest.
Signal Key: L = Long, S = Short
GKD-C Wavelet Oscillator in Optimizer mode
Optimizer Inputs and Exports
GKD-C Wavelet Oscillator attacked to the GKD-BT Optimizer SCS Backtest
**the backtest data rendered to the chart above uses $5 commission per trade and 10% equity per trade with $1 million initial capital. Each backtest result for each ticker assumes these same inputs. The results are NOT cumulative, they are separate and isolated per ticker and trading side, long or short**
█ Conclusion
The GKD-C Wavelet Oscillator serves as a multi-modal component of the GKD trading system allowing traders to optimize and backtest acorss a range of input parameters and tickers. These features decrease total build time required to create a custom GKD algorithmic trading system by allowing users to spend more time trading and less time guessing.
█ How to Access
You can see the Author's Instructions below to learn how to get access.
Auto Fib Retracement [Syafiq.Jr]This TradingView script is an advanced indicator titled "Auto Fib Retracement Neo ." It's designed to automatically plot Fibonacci retracement levels on a price chart, aiding in technical analysis for traders. Here's a breakdown of its functionality:
Core Functionality :
The script identifies pivot points (highs and lows) on a chart and draws Fibonacci retracement lines based on these points. The lines are dynamic, updating in real-time as the market progresses.
Customizable Inputs :
Depth: Determines the minimum number of bars considered in the pivot point calculation.
Deviation: Adjusts the sensitivity of the script in identifying new pivots.
Fibonacci Levels: Allows users to select which retracement levels (236, 382, 500, 618, 786, 886) are displayed on the chart.
Visual Settings: Customization options include the colors and styles of pivot points, trend lines, and the retracement meter.
Pivot and Line Calculation:
The script calculates the deviation between the current price and the last pivot point. If the deviation exceeds a certain threshold, it identifies a new pivot and draws a trend line between the previous pivot and the current one.
Visual Aids :
The indicator provides extensive visual aids, including pivot points marked with circles, dashed trend lines connecting pivots, and labels displaying additional information like price and delta rate.
Performance :
Optimized to handle large datasets, the script is configured to process up to 4000 bars and can manage numerous lines and labels efficiently.
Background and Appearance :
The script allows for customization of the chart background color, enhancing visibility based on user preferences.
In essence, this script is a powerful tool for traders who rely on Fibonacci retracement levels to identify potential support and resistance areas, allowing for a more automated and visually guided approach to market analysis.
Dow Theory based Strategy (Markttechnik)What makes this script unique?
calculates two trends at the same time: a big one for the overall strong trend - and a small one to trigger a trade after a small correction within the big trend
only if both trends (the small and the big trend) are in an uptrend, a buy signal is created: this prevents a buy signal from being generated in a falling market just because an upward movement begins in a small trend
the exit strategy can be configured very flexibly and individually: use the last low as stop loss and automatically switch to a trialing stop loss as soon as the take profit is reached (instead of finishing the trade)
the take profit strategy can also be configured - e.g. use the last high, a fixed percentage or a combination of it
plots each trade in detail on the chart - e.g. inner candles or the exact progression of the stop loss over the entire duration of the trade to allow you to analyze each trade precisely
What does the script do and how?
In this strategy an intact upward trend is characterized by higher highs and lower lows only if the big trend and the small trend are in an upward trend at the same time.
The following describes how the script calculates a buy signal. Every step is drawn to the chart immediately - see example chart above:
1. the stock rises in the big trend - i.e. in a longer time frame
2. a correction takes place (the share price falls) - but does not create a new low
3. the stock rises again in the big trend and creates a new high
From now on, the big trend is in an intact upward trend (until it falls below its last low).
This is drawn to the chart as 3 bold green zigzag lines.
But we do not buy right now! Instead, we want to wait for a correction in the big trend and for the start of a small upward trend.
4. a correction takes place (not below the low from 2.)
Now, the script also starts to calculate the small trend:
5. the stock rises in the small trend - i.e. in a shorter time frame
6. a small correction takes place (not below the low from 4.)
7. the stock rises above the high from 5.: a new high in the shorter time frame
Now, both trends are in an intact upward trend.
A buy signal is created and both the minor and major trend are colored green on the chart.
Now, the trade is active and:
the stop loss is calculated and drawn for each candle
the take profit is calculated and drawn to the chart
as soon as the price reaches the take profit or the stop loss, the trade is closed
Features and functionalities
Uptrend : An intact upward trend is characterized by higher highs and lower lows. Uptrends are shown in green on the chart.
The beginning of an uptrend is numbered 1, each subsequent high is numbered 2, and each low is numbered 3.
Downtrend: An intact downtrend is characterized by lower highs and lower lows. Downtrends are displayed in red on the chart.
Note that our indicator does not show the numbering of the points of the downtrend.
Trendless phases: If there is no intact trend, we are in a trendless phase. Trendless phases are shown in blue on the chart.
This occurs after an uptrend, when a lower low or a lower high is formed. Or after a downtrend, when a higher low or a higher high is formed.
Buy signals
A buy signal is generated as soon as a new upward trend has been formed or a new high has been established in an intact upward trend.
But even before a buy signal is generated, this strategy anticipates a possible emerging trend and draws the next possible trading opportunity to the chart.
In addition to the (not yet reached) buy price, the risk-reward ratio, the StopLoss and the TakeProfit price is shown.
With this information, you can already enter a StopBuy order, which is thus triggered directly with the then created buy signal.
You can configure, if a buy signal shall be created while the big trend is an uptrend, a downtrend and/or trendless.
Exit strategy
With this strategy, you have multiple possibilities to close your position. All of them can be configured within the settings. In general, you can combine a take profit strategy with a stop loss strategy.
The take profit price will be calculated once for each trade. It will be drawn to the chart for active trade.
Depending on your configuration, this can be the last high (which is often a resistance level), a fixed percentage added to the buy price or the maximum of both.
You can also configure that a trailing stop loss is used as soon as the take profit price is reached once.
The stop loss gets recalculated with each candle and is displayed and plotted for each active and finished trade. With this, you can easily check how the stop loss changed during your trades.
The stop loss can be configured flexibly:
Use the classic "trailing stop loss" that follows the price from below.
Set the stop loss to the last low and tighten it every time the small trend marks a new local low.
Confiure that the stop loss is tightened as soon as the break even is reached. Nothing is more annoying than a trade turning from a win to a loss.
Ignore inside candles (see description below) and relax the stop loss to use the outside candle for its calculation.
Inner candles
Inner candles are created when the candle body is within the maximum values of a previous candle (the outer candle). There can be any number of consecutive inner candles. As soon as you have activated the "Check inner candles" setting, all consecutive inner candles will be highlighted in yellow on the chart.
Prices during an inner candle scenario might be irrelevant for trading and can be interpreted as fluctuations within the outside candle. For this reason, the trailing stop loss should not be aligned with inner candles. Therefore, as soon as an inner candle occurs, the stop loss is reset and the low at the time of the outside candle is used as the calculation for the trailing stop loss. This will all be plotted for you on the chart.
Display of the trades:
All active and closed trades of the last 5 years are displayed in the chart with buy signal, sell, stop loss history, inside candles and statistics.
Backtesting:
The strategy can be simulated for each stock over the period of the last 5 years. Each individual trade is recorded and can be traced and analyzed in the chart including stop loss history. Detailed evaluations and statistics are available to evaluate the performance of the strategy.
Additional Statistics
This strategy immediately displays a statistic table to the chart area giving you an overview of its performance over the last years for the given chart.
This includes:
The total win/loss in $ and %
The win/loss per year in %
The active investment time in days and % (e.g. invested 10 of 100 trading days -> 10%)
The total win/loss in %, extrapolated to 100% equity usage: Only with this value can strategies really be compared. Because you are not invested between the trades and could invest in other stocks during this time. This value indicates how much profit you would have made if you had been invested 100% of the time - or to put it another way - if you had been invested 100% of the time in stocks with exactly the same performance. Let's say you had only one trade in the last 5 years that lasted, say, only one month and made 5% profit. This would be significantly better than a strategy with which you were invested for, say, 5 years and made 10% profit.
The total profit/loss per year in %, extrapolated to 100% equity usage
Notifications (alerts):
Get alerted before a new buy signal emerges to create an order if necessary and not miss a trade. You can also be notified when the stop loss needs to be adjusted. The notification can be done in different ways, e.g. by Mail, PopUp or App-Notification. This saves them the annoying, time-consuming and error-prone "click through" all the charts.
Settings: Display Settings
With these settings, you have the possibility to:
Show the small or the big trend as a background color
Configure if the numbers (1-2-3-2-3) shall be shown at all or only for the small, the big trend or both
Settings: Trend calculation - fine tuning
Drawing trend lines on a chart is not an exact science. Some highs and lows are not very clear or significant. And so it will always happen that 2 different people would draw different trendlines for the same chart. Unfortunately, there is no exact "right" or "wrong" here.
With the options under "Trend Calculation - Fine Tuning" you have the possibility to influence the drawing in of trends and to adapt it to your personal taste.
Small Trend, Big Trend : With these settings you can influence how significant a high or low has to be to recognize them as an independent high or low. The larger the values, the more significant a high or low must be to be recognized as such.
High and low recognition : With this setting you can influence when two adjacent, almost identical highs or lows should be recognized as independent highs or lows. The higher the value, the more different "similar" highs or lows must be in order to be recognized as such.
Which default settings were selected and why
Show Trades: true - its often useful to see all recent trades in the chart
Time Frame: 1 day - most common time frame (except for day traders)
Take Profit: combined 10% - the last high is taken as take profit because the trend often changes there, but only if there is at least 10% profit to ensure we do not risk money for a tiny profit
Stop Loss: combined - the last low is used as stop loss because the trend would break there and switch to a trailing stop loss as soon as our take profit is reached to let our profits run without risking them anymore
Stop Loss distance: 3% - we are giving the price 3% air (below the last low) to avoid being stopped out due to a short price drop
Trailing Stop Loss: 2% - we have to give the stop loss some room to avoid being stopped out prematurely; this is a value that is well balanced between a certain downside distance and the profit-taking ratio
Set Stop Loss to break even: true, 2% - once we reached the break even, it is a common practice to not risk our money anymore, the value is set to the same value as the trailing stop loss
Trade Filter: Uptrend - we only start trades if the big trend is an uptrend in the expectation that it will continue after a small correction
Display settings: those will not influence the trades, feel free to change them to your needs
Trend calculation - Fine Tuning: 1/1,5/0,05; influences the internal calculation for highs and lows and how significant they need to be to be considered a new high or low; the default values will provide you nicely calculated trends in the daily time frame; if there are too many or too few lows and highs according to your taste, feel free to play around and immediately see the result drawn to the chart; read the manual for a detailed description of this values
Note that you can (and should) configure the general trading properties like your initial capital, order size, slippage and commission.
Unleash Bitcoin's Next Move with S&P Divergence!BTC_GO_LONG_SONG
This script works like a special helper that watches two things: Bitcoin (a popular type of digital money) and the S&P 500 (which is like a big basket of important companies' stocks).
Imagine Bitcoin and the S&P 500 are connected by an invisible elastic band.
When they move together: The elastic band stays relaxed.
When they move apart: The elastic band stretches.
This script keeps an eye on how much the elastic band stretches.
If Bitcoin starts to move in a different way than the S&P 500 and the band stretches a lot, the script thinks that Bitcoin might snap back or make a big jump soon.
Here’s how it works:
Volume Check: The script looks at how many people are buying or selling Bitcoin. If a lot more people are trading than usual, it’s like a signal that something big might happen.
Price Movement: It watches how Bitcoin’s price is changing. If Bitcoin breaks away from its usual pattern and moves far from where it was recently, it could be a sign that a big change is coming.
Elastic Band Check: The script checks if Bitcoin is moving differently than the S&P 500. If Bitcoin is doing its own thing while the S&P 500 moves in another direction, it’s like the elastic band is being stretched.
When all these things happen together—high trading volume, unusual price movement, and a stretched elastic band—the script shows a green triangle on the chart.
This triangle is a signal for people who believe Bitcoin might go up (the Bulls) that it could be a good time to think about entering a trade because a breakout might be coming.
This explanation uses the idea of an elastic band to describe the relationship between Bitcoin and the S&P 500, making it easier to understand how this script helps traders spot potential breakout opportunities.
Breaker Blocks + Order Blocks confirm [TradingFinder] BBOB Alert🔵 Introduction
In the realm of technical analysis, various tools and concepts are employed to identify key levels on price charts. These tools assist traders in analyzing market trends with greater precision, enabling them to optimize their trading decisions. Among these tools, the Order Block and Breaker Block hold a significant place, serving as effective instruments for analyzing market structure.
🟣 Order Block
An Order Block refers to zones on a chart where large financial institutions and high-volume traders place their orders. Due to the substantial volume of buy or sell orders in these areas, they are often regarded as pivotal points for potential price reversals or temporary pauses in a trend. Order Blocks are particularly crucial when prices react to these zones after a strong market move, acting as strong support or resistance levels.
🟣 Breaker Block
On the other hand, a Breaker Block refers to areas on a chart that previously functioned as Order Blocks but where the price has managed to break through and continue in the opposite direction. These zones are typically recognized as key points where market trends might shift, helping traders identify potential reversal points in the market.
🟣 Overlapping Block (BBOB)
Now, imagine a scenario where these two essential concepts in technical analysis—Order Blocks and Breaker Blocks—overlap on a chart. Although this overlap is not specifically discussed within the ICT (Inner Circle Trader) trading framework, exploring and utilizing this overlap can provide traders with powerful insights into strong support and resistance zones. The combination of these two robust concepts can highlight critical areas in trading, potentially offering significant advantages in making informed trading decisions.
In this article, we will delve into the concept of this overlap, explaining how to utilize it in trading strategies. Additionally, we will analyze the potential outcomes and benefits of incorporating this concept into your trading decisions.
Bullish Overlapping Block (BBOB) :
Bearish Overlapping Block (BBOB) :
🔵 How to Use
The overlap between Order Blocks and Breaker Blocks is a compelling and powerful concept that can help traders identify key levels on the chart with a high probability of success. This overlap is particularly valuable because it combines two well-regarded concepts in technical analysis—zones of high order volume and critical market shifts.
🟣 Here’s how to effectively use this overlap in your trading
1. Dentifying the Overlapping Block : To make the most of the overlap between Order Blocks and Breaker Blocks, begin by identifying these zones separately. Order Blocks are areas where price typically reacts and reverses after a strong market move.
Breaker Blocks are areas where a previous Order Block has been breached, and the price continues in the opposite direction. When these two zones overlap on a chart, it’s crucial to pay close attention to this area, as it represents a high-probability reaction zone.
2. Analyzing the Overlapping Block : After identifying the overlap zone, carefully analyze price action within this region. Candlestick patterns and price behavior can provide essential clues.
If the price reaches this overlap zone and strong reversal patterns such as Pin Bars or Engulfing patterns are observed, it’s likely that this zone will act as a pivotal reversal point. In such cases, entering a trade with confidence becomes more feasible.
3. Entering the Trade : When sufficient signs of price reaction are present in the overlap zone, you can proceed to enter the trade. If the overlap zone is within an uptrend and bullish reversal signals are evident, a long position might be appropriate.
Conversely, if the overlap zone is in a downtrend and bearish reversal signals are observed, a short position would be more suitable.
4. Risk Management : One of the most critical aspects of trading in overlap zones is managing risk. To protect your capital, place your stop loss near the lowest point of the Order Block (for buy trades) or the highest point (for sell trades). This approach minimizes potential losses if the overlap zone fails to hold.
5. Price Targets : After entering the trade, set your price targets based on other key levels on the chart. These targets could include other support and resistance zones, Fibonacci levels, or pivot points.
Bullish Overlapping Block :
Bearish Overlapping Block :
🟣 Benefits of the Overlapping Block Between Order Block and Breaker Block
1. Enhanced Precision in Identifying Key Levels : The overlap between these two zones usually acts as a highly reliable area for price reactions, increasing the accuracy of identifying entry and exit points.
2. Reduced Trading Risk : Given the high importance of the overlap zone, the likelihood of making incorrect decisions is reduced, contributing to overall lower trading risk.
3. Increased Probability of Success : The overlap between Order Blocks and Breaker Blocks combines two powerful concepts, enhancing the likelihood of success in trades, as multiple indicators confirm the importance of the area.
4. Creation of Better Trading Opportunities : Overlap zones often provide traders with more robust trading opportunities, as these areas typically represent strong reversal points in the market.
5. Compatibility with Other Technical Tools : This concept seamlessly integrates with other technical analysis tools such as Fibonacci retracements, trend lines, and chart patterns, offering a more comprehensive market analysis.
🔵 Setting
🟣 Global Setting
Pivot Period of Order Blocks Detector : Enter the desired pivot period to identify the Order Block.
Order Block Validity Period (Bar) : You can specify the maximum time the Order Block remains valid based on the number of candles from the origin.
Mitigation Level Order Block : Determining the basic level of a Order Block. When the price hits the basic level, the Order Block due to mitigation.
Mitigation Level Breaker Block : Determining the basic level of a Breaker Block. When the price hits the basic level, the Breaker Block due to mitigation.
Mitigation Level Overlapping Block : Determining the basic level of a Overlapping Block. When the price hits the basic level, the Overlapping Block due to mitigation.
🟣 Overlapping Block Display
Show All Overlapping Block : If it is turned off, only the last Order Block will be displayed.
Demand Overlapping Block : Show or not show and specify color.
Supply Overlapping Block : Show or not show and specify color.
🟣 Order Block Display
Show All Order Block : If it is turned off, only the last Order Block will be displayed.
Demand Main Order Block : Show or not show and specify color.
Demand Sub (Propulsion & BoS Origin) Order Block : Show or not show and specify color.
Supply Main Order Block : Show or not show and specify color.
Supply Sub (Propulsion & BoS Origin) Order Block : Show or not show and specify color.
🟣 Breaker Block Display
Show All Breaker Block : If it is turned off, only the last Breaker Block will be displayed.
Demand Main Breaker Block : Show or not show and specify color.
Demand Sub (Propulsion & BoS Origin) Breaker Block : Show or not show and specify color.
Supply Main Breaker Block : Show or not show and specify color.
Supply Sub (Propulsion & BoS Origin) Breaker Block : Show or not show and specify color.
🟣 Order Block Refinement
Refine Order Blocks : Enable or disable the refinement feature. Mode selection.
🟣 Alert
Alert Name : The name of the alert you receive.
Alert Overlapping Block Mitigation :
On / Off
Message Frequency :
This string parameter defines the announcement frequency. Choices include: "All" (activates the alert every time the function is called), "Once Per Bar" (activates the alert only on the first call within the bar), and "Once Per Bar Close" (the alert is activated only by a call at the last script execution of the real-time bar upon closing). The default setting is "Once per Bar".
Show Alert Time by Time Zone :
The date, hour, and minute you receive in alert messages can be based on any time zone you choose. For example, if you want New York time, you should enter "UTC-4". This input is set to the time zone "UTC" by default.
🔵 Conclusion
The overlap between Order Blocks and Breaker Blocks represents a critical and powerful area in technical analysis that can serve as an effective tool for determining entry and exit points in trading.
These zones, due to the combination of two key concepts in technical analysis, hold significant importance and can help traders make more confident trading decisions.
Although this concept is not specifically discussed in the ICT framework and is introduced as a new idea, traders can achieve better results in their trades through practice and testing.
Utilizing the overlap between Order Blocks and Breaker Blocks, in conjunction with other technical analysis tools, can significantly improve the chances of success in trading.
Jason's Simple Moving Averages WaveUnderstanding the Script:
Purpose: This script identifies potential trend direction and momentum using a moving average and wave amplitude calculation. It shows a green line when the price is trending upwards and a red line when trending downwards.
Strategy: This script doesn't provide a complete trading strategy. It's an indicator designed to be used alongside other tools.
Parameters: You can adjust the "Moving Average Length" input to change the sensitivity of the indicator. A shorter length will react quicker to price changes, while a longer length will be smoother but less responsive.
How to Use it:
Load the Script: In TradingView, navigate to the indicator creation section and paste the provided script code.
Adjust Parameters: Set the "Moving Average Length" based on your preferred timeframe and trading style.
Combine with Other Tools: Use the indicator along with other technical indicators or price action analysis to confirm potential entry and exit points for trades.
Here are some additional points to consider:
Crossovers: You could look for buy signals when the price crosses above the green line and sell signals when it crosses below the red line. However, these can be prone to false signals.
Divergence: Look for divergences between the price movement and the wave indicator. For example, a rising price with a falling wave could indicate overbought conditions and a potential reversal.
Confirmation: Don't rely solely on this indicator. Use it alongside other confirmations from price action, volume analysis, or other indicators to identify higher probability trades.
Important Note:
VS TrendXpert ProThe VS TrendXpert Pro indicator is designed to offer a comprehensive and powerful trading solution by combining trend identification, dynamic candle replication, buy/sell sensitivity signals, and volatility moving averages. This multi-functional tool aids traders in making informed decisions by visualizing trend strength, key price levels, and potential buy/sell opportunities across multiple timeframes and market conditions.
This script is a versatile and easy-to-use tool developed in Pine Script™ (TradingView) to help users identify trends and improve trading accuracy by leveraging advanced gradient color changes, dynamic candle replication, and a sensitivity-based signaling system. The indicator seamlessly blends visual clarity with robust trend analysis, making it suitable for both novice and professional traders.
Indicator Components:
VS Dynamic Trend
VS Dynamic Replicator
VS Sensitivity Buy/Sell
VS Volatile Moving Averages (VMAs)
1. VS Dynamic Trend
Description:
The VS Dynamic Trend component focuses on real-time trend detection by incorporating a gradient coloring system that shifts based on trend strength. This tool enables traders to visually assess the market's bullish or bearish strength using dynamic gradient colors on the chart candles.
What It Does:
Color Gradient Visualization: The candles are colored dynamically to reflect the strength of the trend. The gradient moves from weak to strong in both bullish and bearish conditions.
Gradient Sensitivity: Adjustable sensitivity controls allow traders to modify the color shift intensity, making the indicator responsive to varying market conditions.
How to Use:
Bullish Trend: Candles will gradually change from a neutral color to a strong bullish color (as per the selected gradient).
Bearish Trend: Similarly, in a bearish trend, candles shift from neutral to a strong bearish color.
Neutral Market: If the trend is unclear, candles remain in a neutral color, signaling potential consolidation or indecision.
Inputs:
Gradient Sensitivity: Adjust the responsiveness of the color changes (higher values = less sensitivity).
Toggle Dynamic Gradient: Enable or disable the gradient coloring feature based on user preference.
2. VS Dynamic Replicator
Description:
The VS Dynamic Replicator replicates previous candles based on selected timeframes, projecting the future possible price movements. This component helps users predict price action by visually referencing past price behavior with adjustable offsets and line widths for better readability.
What It Does:
Candle Replication: Recreates a replica of the previous or selected timeframe candle on the chart with full customization of color and size.
Projected Price Levels: Visualizes important price levels (Open, High, Low, Close) with dotted lines extending into the future.
How to Use:
Choose Timeframe: Select the timeframe you want to replicate (e.g., daily, weekly).
Customizable Display: Adjust the offset, candle width, and line thickness to personalize the candle replication display.
Use Labels: Labels display the open, high, low, and close values, helping traders easily recognize critical price levels.
Inputs:
Candle Colors: Customize the colors for bullish and bearish replicated candles.
Timeframe Selection: Select the desired timeframe to replicate past candles.
Offset: Determine how far to project the replicated candle from the current price.
3. VS Sensitivity Buy/Sell
Description:
The VS Sensitivity Buy/Sell module generates buy and sell signals based on the crossover of moving averages. It allows traders to select sensitivity levels to determine the frequency and timing of the signals.
What It Does:
Sensitivity Settings: Offers three sensitivity levels—High, Medium, and Low—to adjust how quickly signals are generated.
Buy/Sell Signals: Signals are plotted as triangles above or below the price, indicating potential entry or exit points.
How to Use:
Adjust Sensitivity: Select High for more frequent signals or Low for fewer but more significant signals.
Monitor Signals: Buy signals are shown as green triangles below bars, while sell signals appear as red triangles above bars.
Inputs:
Sensitivity Levels: Choose between High, Medium, and Low to set the frequency of signals.
Toggle Buy/Sell Signals: Enable or disable the buy and sell signals based on your trading strategy.
4. VS Volatile Moving Averages (VMAs)
Description:
The VS Volatile Moving Averages (VMAs) feature is a set of volatility-adjusted moving averages that reflect market trends with customizable colors. Traders can use VMAs to identify trends across different time horizons (e.g., 20, 50, and 200 periods).
What It Does:
Volatility-Adjusted Averages: Displays three VMAs (20, 50, and 200) that adjust according to market volatility.
Color Coding: Each VMA is color-coded to indicate trend direction (bullish, bearish, or neutral).
Trend Confirmation: The color and slope of the VMAs confirm whether the trend is gaining strength or weakening.
How to Use:
Select VMAs: Choose which moving averages (e.g., VMA 20, 50, 200) to display on the chart.
Color Interpretation: Green indicates a bullish trend, red indicates a bearish trend, and yellow/neutral colors indicate indecision.
Overlay on Chart: The VMAs overlay on your price chart, providing a visual confirmation of trend direction.
Inputs:
Display VMAs: Toggle the display of VMAs on or off.
Adjust Fill Opacity: Modify the transparency of the VMA fill color for clarity on the chart.
Conclusion:
The VS TrendXpert Pro indicator is a robust and customizable tool that combines multiple trading methodologies into one cohesive package. By offering dynamic trend visualization, candle replication, sensitivity-based buy/sell signals, and volatility-driven moving averages, it provides a comprehensive approach to analyzing markets. Suitable for all trader levels, the indicator enhances market insight and helps users make more informed trading decisions.
xBrat SlingshotThe xBrat Slingshot Software is designed to identify measured Pull Backs during trends. The Software then identifies two different types of “with trend” trading signals and 1 “trend failure” signal (discussed further down the logic explanation). It is important to know that every pullback is NOT tradeable and a strong set of rules/logic must be used consistently to first measure the pullback. Then a set of repeatable rules/logic is used to identify trading signals when that pullback has found support or resistance within those measured pullback zones. The xBrat Slingshot Software does this all automatically using the following logic.
Long trade
If False Breakout Stochastics (Stoch) closes below 20%, and then closes above 80%, identify a swing low as the lowest price reached since the close below 20%.
When Stoch then closes back down below N%, the algorithm will identify a swing high as the highest price reached since the close above 80.
Behind the chart the software draws a fib retracement from swing low to swing high.
If price ever closed below the 61.8 at any time between the swing high bar and the bar that closed below N%, the software cancels the setup (and undraws pullback zone visuals).
Otherwise our software draws pullback zones at the following fib percentages that are commonly used when measuring pullbacks against a trend.
Pullback zone 1: 23.6-38.2 (default green, light opacity)
Pullback zone 2: 38.2-50 (default green, medium opacity)
Pullback zone 3: 50-61.8 (default green, dark opacity)
If price enters (either closes inside of or touches) a pullback zone and then closes above it without ever closing past (below) it, the setup is confirmed and fib extension targets are drawn (distance from high swing to end of the pullback, extended from the end of the pullback):
Target zone 1: 110-127 (default green, light opacity)
Target zone 2: 161-176 (default green, medium opacity)
Target zone 3: 262-286 (default green, dark opacity)
If price closes past (below) Pullback zone 3 before the setup is confirmed, cancel the setup (and undraw visuals).
Once target zones are drawn, the setup is confirmed and never undrawn.
Short trade
Reverse of the above long trade logic.
Pullback confirmation value: N%
Default zone colour: Red
Once the pullback zone is identified and sufficient initial Support or Resistance occurs within the pullback zones, they are locked along with the target Target Zones for the current move.
Then further confluences are used with our proprietary logic to identify 3 types of Trading Signals. Just because we have a pullback during a trend, doesn't mean we are going to get straight back to the trend. We have identified 2 special sets of confluences that occur in a predefined order to ensure the trend is being returned to with momentum.
These are the Type 1 and Type 2 Trading Signals Below. Then we have another set of circumstances/confluence for when a Trend Fails and traders need to be able to trade these. This is the 3rd type of Trade, a Type 3 below.
Type 1 Trade Signals - Trend Continuation - The following MUST occur within the 3 pullback zones. This signal uses Crosses of Fast and Slow EMA’s which denote the switch back for slingshot and the trend to resume in its original direction after a measured pullback. Then we apply our proprietary EMA cloud for moving out of the pull back zones as a final confirmation for the signal to be Printed.
Type 1 Buy Signals: Fast EMA (default period N, displacement 0) closes below the slow EMA (default period N, displacement N) while in a green pullback zone, and then the fast EMA closes back above the slow EMA without price ever breaking below the last pullback zone (green zones must still be printing). Draw a horizontal line N ticks for entry above the close of the confirmation bar and extend until the lower EMA cloud line breaks it – at which point the lower EMA cloud line is shown as trailing stop
Type 1 Sell Signals: Fast EMA (default period N, displacement 0) closes above the slow EMA (default period N, displacement N) while in a red pullback zone, and then the fast EMA closes back below the slow EMA without price ever breaking above the last pullback zone (red zones must still be printing). Draw a horizontal line N ticks below the close of the confirmation bar and extend until the upper EMA cloud line breaks it – at which point the upper EMA cloud line is shown as trailing stop.
These are the most common of the trading signals when price action follows all of our standard logic rules for a pullback and starts to return in the direction of the main trend after the measured pullback. The highest probability move is to Target 2.
Type 2 Trades - Trend Continuation - For this signal type the Fast and Slow EMA’s DO NOT Cross. BUT price action has to Enter our proprietary EMA cloud and close in the cloud. Then on a set “N” bars must move back out and close outside of the EMA Cloud back in the direction of the original trend. Again, All this must be done within the Pull back Zones.
Type 2 Buy Signal: A bar closes below the upper cloud line while in a green pullback zone, and then within N bars, a bar closes above the upper cloud line without ever breaking below the last pullback zone or the lower EMA Cloud line (green zones must still be printing). Draw a horizontal line N ticks above the close of this bar and extend until the lower EMA cloud line breaks it – at which point the lower EMA cloud line is shown as trailing stop.
Type 2 Sell Signal: A bar closes above the lower cloud line while in a red pullback zone, and then within N bars, a bar closes below the lower cloud line without ever breaking above the last pullback zone or upper EMA cloud line (red zones must still be printing). Draw a horizontal line N ticks below the close of this bar and extend until the upper cloud line breaks it – at which point the upper cloud line is shown as trailing stop.
These are Shallow pullbacks, but still hit the pullback zones. The price action in this instance returns to the direction of the main trend more quickly but still follows a different set of rules to that of Type 1 trades. The Highest Probability move is to target Two
Type 3 Trades - Trend failure - These are trend failure signals where the pullback zones are printed but the price action does not return to the main trend, BUT breaks the third pullback zone and breaks the slingshot rules for a Trend following trade setup. Our proprietary EMA Cloud positioning is then used to confirm and print the signal once the leading edge( direction dependent) moves out of the last pullback zone and we get a candle close with “N” percentage of the pull backs zone's depth.
Type 3 Buy Signal: A bar closes above the highest red pullback zone without pricing previously having ever touched the first red target zone for previous short with trend move. Draw a horizontal line N ticks above the close of the bar that broke the last zone and extend until the lower cloud line breaks it – at which point the lower cloud line is shown as a trailing stop.
Type 3 Sell Signal: A bar closes below the lowest green pullback zone without pricing having ever touched the previous first green target zone for previous long with trend move. Draw a horizontal line N ticks below the close of the bar that broke the last zone and extend until the upper cloud line breaks it – at which point the upper cloud line is shown as a trailing stop.
The Trailing Stop Line is also printed to help with trade management of these 3 different types of trades. This EMA trailing stop is adjustable.
This strategy is designed for Scalping, Day Trading and even Swing Trading. Works with Forex, Crypto, Futures and Stocks.
Envelop-Ama-VivekThe Adaptive Moving Average (AMA) is a type of moving average developed by Perry Kaufman, designed to adapt to the market's volatility. Unlike traditional moving averages that use fixed periods for smoothing, the AMA adjusts its sensitivity based on the market's noise and trends.
### Key Features of AMA:
1. **Adaptive Sensitivity:**
- The AMA responds more quickly to significant market movements while filtering out minor fluctuations. This is achieved by adjusting the smoothing constant dynamically.
- In trending markets, the AMA becomes more sensitive, allowing it to capture trends faster.
- In choppy or sideways markets, the AMA reduces its sensitivity, thus minimizing the impact of noise and avoiding false signals.
2. **Efficiency Ratio (ER):**
- The ER is a core component of the AMA. It measures the efficiency of price movement by comparing the net price change to the total price change over a given period.
- A higher ER indicates a strong trend, while a lower ER suggests more noise in the market.
3. **Smoothing Constant (SC):**
- The SC determines how much weight is given to the most recent price relative to the previous AMA value.
- The SC is dynamically adjusted based on the ER, with higher values used during strong trends and lower values during volatile or choppy periods.
### Applications of AMA:
- **Trend Detection:** The AMA is useful for identifying the start of a new trend or confirming an existing one, as it adjusts quickly to significant price movements.
- **Noise Reduction:** By adapting to market conditions, the AMA helps in filtering out market noise, making it easier to distinguish between genuine trends and short-term fluctuations.
- **Entry and Exit Signals:** Traders can use the AMA to generate buy and sell signals. For instance, when the price crosses above the AMA, it might indicate a buying opportunity, and when it crosses below, it might signal a selling opportunity.
### Benefits:
- **Adaptive Nature:** Its ability to adjust to market conditions makes the AMA more reliable in different market environments.
- **Reduced Lag:** Compared to traditional moving averages, the AMA reduces lag during trending markets, allowing for quicker responses to price movements.
### Drawbacks:
- **Complexity:** The calculation of the AMA is more complex compared to simple moving averages, which might make it less accessible to some traders.
- **Parameter Sensitivity:** The effectiveness of the AMA can vary depending on the chosen parameters (e.g., length, fast length, slow length), requiring careful tuning.
In summary, the AMA is a powerful tool for traders looking to capture trends while minimizing the impact of market noise. Its adaptive nature makes it suitable for various market conditions, providing a balance between responsiveness and noise reduction.
Marcos Ruiz :Price Change Speed Descripción:
Este indicador en Pine Script está diseñado para analizar y visualizar dinámicamente la velocidad de los cambios de precio en un gráfico de TradingView. El indicador permite a los usuarios seleccionar diferentes tipos de medias móviles y fuentes de precios para calcular y mostrar el cambio porcentual en el precio durante un período especificado
Características:
Selección de Fuente de Precio: Elige entre cierre, apertura, alto, o bajo para los cálculos de precios
Tipos de Media Móvil: Selecciona entre SMA, WMA, EMA, HMA, o VWMA para determinar la media móvil utilizada en el cálculo de la velocidad promedio
Coloreado Dinámico: El color de la línea de la media móvil cambia según la velocidad de cambio de precio
Aumento de Velocidad: Cuando la velocidad del cambio de precio está aumentando, la media móvil se colorea según upColor definido por el usuario
Disminución de Velocidad: Cuando la velocidad está disminuyendo, la media móvil se colorea según downColor definido por el usuario
Posición Neutral: Coloreado adicional para escenarios donde el precio está por encima o por debajo de la media móvil, pero no cumple con las condiciones de aumento/disminución
Factor de Refuerzo: Ajusta la sensibilidad del cálculo del cambio de velocidad
Uso:
Parámetros de Entrada:
Define el Período para establecer la ventana de retroceso para calcular la velocidad
Elige la Fuente de Precio para determinar qué datos de precios usar
Selecciona el Tipo de Media Móvil y ajusta la Longitud de EMA para la comparación
Interpretación:
El indicador traza la media móvil seleccionada con colores dinámicos basados en la velocidad calculada del cambio de precio
Los cambios positivos y negativos en la velocidad se indican con diferentes colores, proporcionando una representación visual del momento y la fuerza de la tendencia del precio
Nota: Este script es el resultado de un desarrollo y pruebas extensivas. Se agradecen mucho sus comentarios y contribuciones
Description:
This Pine Script indicator is designed to dynamically analyze and visualize the speed of price changes on a TradingView chart. The indicator allows users to select different moving average types and price sources to compute and display the percentage change in price over a specified period
Features:
Price Source Selection: Choose from close, open, high, or low for price calculations
Moving Average Types: Select from SMA, WMA, EMA, HMA, or VWMA to determine the moving average used for computing average speed
Dynamic Coloring: The moving average line's color changes based on the speed of price change
Increasing Speed: When the price change speed is increasing, the moving average is colored according to the user-defined upColor
Decreasing Speed: When the speed is decreasing, the moving average is colored according to the user-defined downColor
Neutral Position: Additional coloring for scenarios where the price is above or below the moving average but not meeting the increase/decrease conditions
Reinforcement Factor: Adjusts the sensitivity of the speed change calculation
Usage:
Input Parameters:
Set the Period to define the lookback window for calculating speed
Choose the Price Source to determine which price data to use
Select the Moving Average Type and adjust the EMA Length for comparison
Interpretation:
The indicator plots the selected moving average with dynamic colors based on the calculated speed of price change
Positive and negative changes in speed are indicated by different colors, providing a visual representation of price momentum and trend strength
Note: This script is the result of extensive development and testing. Your feedback and contributions are highly appreciated
