CandleStick [TradingFinder] - All Reversal & Trend Patterns🔵 Introduction
"Candlesticks" patterns are used to predict price movements. We have included 5 of the best candlestick patterns that are common and very useful in "technical analysis" in this script to identify them automatically. The most important advantage of this indicator for users is saving time and high precision in identifying patterns.
These patterns are "Pin Bar," "Dark Cloud," "Piercing Line," "3 Inside Bar," and "Engulfing." By using these patterns, you can predict price movements more accurately and therefore make better decisions in your trades.
🔵 How to Use
Pin Bar : This pattern consists of a Candle where "Open Price," "Close Price," "High Price," and "Low Price" form the "Candle Body," and it also has "Long Shadow" and "Short Shadow." In the visual appearance of the Pin Bar pattern, we have a candle body and a pin bar shadow, where the candle body is smaller relative to the shadow.
Just as the candle body plays an important role in analysis, the pin bar shadow can also be influential. The larger the pin bar shadow, the stronger the expectation of a trend reversal.
When a "bearish pin bar" occurs at resistance or the chart ceiling, it can be predicted that the price trend will be downward. Similarly, at support points and the chart floor, a "bullish pin bar" can indicate an upward price movement.
Additionally, patterns like "Hammer," "Shooting Star," "Hanging Man," and "Inverted Hammer" are types of pin bars. Pin bars are formed in two ways: bullish pin bars have a long lower shadow, and bearish pin bars have a long upper shadow. Important: Displaying "Bullish Pin Bar" is labeled "BuPB," and "Bearish Pin Bar" is labeled "BePB."
Dark Cloud : The Dark Cloud pattern is one type of two-candle patterns that occurs at the end of an uptrend. The 2-candle pattern indicates the shape of this pattern, which actually consists of 2 candles, one bullish and one bearish. This pattern indicates a trend reversal and is quite powerful.
The Dark Cloud pattern is seen when, after a bullish candle at the end of an uptrend, a bearish candle opens at a higher level (weakly, equal, or higher) than the closing point of the bullish candle and finally closes at a point approximately in the middle of the previous candle. In this indicator, the Dark Cloud pattern is identified as "Wick" and "Strong" .
The difference between these two lies in the strictness of their conditions. Important: Strong Dark Cloud is labeled "SDC," and Weak Dark Cloud is labeled "WDC."
Piercing Line : The Piercing candlestick pattern consists of 2 candles, the first being bearish and consistent with the previous trend, and the second being bullish. The conditions of the pattern are such that the first candle is bearish and a price gap is created between the two candles upon the opening of the next candle because its opening price is below (weakly equal to or less than) the closing price of the previous candle.
Additionally, its closing price must be at least 50% above the red candle.
This means that the second candle must penetrate at least 50% into the first candle. Important: Strong Piercing Line is labeled "SPL," and Weak Piercing Line is labeled "WPL."
3 Inside Bar (3 Bar Reversal) : The 3 Inside Bar pattern is a reversal pattern. This pattern consists of 3 consecutive candles and can be either bullish or bearish. In the bullish pattern (Inside Up) formed at the end of a downtrend, the last candle must be bullish, and the third candle from the end must be bearish.
Additionally, the close price must be more than 50% of the third candle from the end. In the bearish pattern (Inside Down) formed at the end of an uptrend, the last candle must be bearish, and the third candle from the end must be bullish. Additionally, the close price must be less than 50% of the third candle from the end. Important: Bullish 3 Inside Bar is labeled "Bu3IB," and Bearish 3 Inside Bar is labeled "Be3IB."
Engulfing : The Engulfing candlestick pattern is a reversal pattern and consists of at least two candles, where one of them completely engulfs the body of the previous or following candle due to high volatility.
For this reason, the term "engulfing" is used for this pattern. This pattern occurs when the price body of a candle encompasses one or more candles before it. Engulfing candles can be bullish or bearish. Bullish Engulfing forms as a reversal candle at the end of a downtrend.
Bullish Engulfing indicates strong buying power and signals the beginning of an uptrend. This pattern is a bullish candle with a long upward body that completely covers the downward body before it. Bearish Engulfing, as a reversal pattern, is a long bearish candle that engulfs the upward candle before it.
Bearish Engulfing forms at the end of an uptrend and indicates the pressure of new sellers and their strong power. Additionally, forming this pattern at resistance levels and the absence of a lower shadow increases its credibility. Important: Bullish Engulfing is labeled "BuE," and Bearish Engulfing is labeled "BeE."
🔵 Settings
This section, you can use the buttons "Show Pin Bar," "Show Dark Cloud," "Show Piercing Line," "Show 3 Inside Bar," and "Show Engulfing" to enable or disable the display of each of these candlestick patterns.
Forecasting
Engulfing [TradingFinder] Bullish & Bearish CandleStick Pattern🔵 Introduction
The candlestick engulfing pattern is important pattern in technical analysis that can be observed in candlestick charts. This pattern occurs when a complete candle engulfs or "engulfs" the body of a previous candle, meaning that the body of the new candle completely covers the body of the previous candle.
The candlestick engulfing pattern has two types: the bullish engulfing pattern and the bearish engulfing pattern.
• Bullish Engulfing Pattern: This pattern occurs when a market candle opens with a larger and higher body than the previous market candle and completely covers the body of the previous candle. This pattern may indicate the presence of strong buying pressure and a potential change in price direction upwards.
• Bearish Engulfing Pattern: This pattern occurs when a market candle opens with a larger and lower body than the previous market candle and completely covers the body of the previous candle. This pattern may indicate the presence of strong selling pressure and a potential change in price direction downwards.
The candlestick engulfing pattern is usually used as a valid signal for a change in price direction in the market and can enhance a combination of crossover investments and technical analysis. However, it should always be evaluated alongside other indicators and market factors, and counter decisions should be made accordingly.
🔵 Recognition Method
Correct, the candlestick engulfing pattern is one of the important patterns in technical analysis that is typically used as a strong signal for a valid change in price direction in the market. This pattern occurs when a candle (usually in the market) opens with a larger and higher (for bullish engulfing pattern) or lower (for bearish engulfing pattern) body than a previous market candle and completely covers the body of the previous candle.
Example of Bullish Engulfing Pattern:
• First Candle: A bearish (downward) candle with a small red body.
• Second Candle: A bullish (upward) candle with a larger body that completely covers the body of the previous candle.
This pattern may indicate a change in price direction from downward to upward.
Example of Bearish Engulfing Pattern:
• First Candle: A bullish (upward) candle with a small green body.
• Second Candle: A bearish (downward) candle with a larger body that completely covers the body of the previous candle.
This pattern may indicate a change in price direction from upward to downward.
The most important point is that the candlestick engulfing pattern should be carefully considered and always evaluated alongside other market indicators and overall conditions. For example, the engulfing pattern near important support or resistance levels, during significant market command changes, or accompanied by other technical signals can have greater signaling power.
🟣 "Bullish Engulfing" Candle
• The first candle is bullish and the second candle is bearish.
• At the end of a downtrend.
• The closing of the first candle is above the opening of the second candle.
• The high of the first candle is higher than the high of the second candle.
Optimal Condition:
• The closing of the first candle is higher than the high of the second candle.
• More than 80% of the first candle is bullish.
🟣 "Bearish Engulfing" Candle
• The first candle is bearish and the second candle is bullish.
• At the end of an uptrend.
• The closing of the first candle is below the opening of the second candle.
• The low of the first candle is lower than the low of the second candle.
Optimal Condition:
• The closing of the first candle is below the opening of the second candle.
• More than 80% of the first candle is bearish.
🔵 Settings
The "Engulf Filter" option allows the "Optimal Condition" to be executed and will show fewer candlesticks.
🔵 Status
Off: Default mode, showing more identifications.
• Green color indicates optimal "Bullish Engulfing" candles.
• Red color indicates optimal "Bearish Engulfing" candles.
On: By changing the default to "On," the number of identifications decreases and the optimal condition is applied.
• Blue color indicates "Bullish Engulfing" candles.
• Black color indicates "Bearish Engulfing" candles.
🟣 Important Note
"Engulfing" candles are very useful signals in the direction of the overall trend, but we do not expect a suitable movement from "Engulfing" candles against the trend.
Semaphore PlotThe Semaphore Plot V2, crafted by OmegaTools for the TradingView platform, is a sophisticated technical analysis tool designed to offer traders nuanced insights into market dynamics. This closed-source script embodies a novel approach by synthesizing multiple technical analysis methodologies into a coherent analytical framework. This detailed description aims to demystify the operational essence of the Semaphore Plot V2 and elucidate its application in trading scenarios without overstepping into claims of infallibility or price prediction accuracy.
Analytical Foundations and Integration:
At its core, the Semaphore Plot V2 is founded on the integration of several analytical dimensions, each contributing to a comprehensive market overview:
1. Dynamic Trend Analysis: Unlike conventional trend indicators that might rely solely on moving averages, the Semaphore Plot V2 examines the market's direction through a more complex lens. It assesses momentum, utilizing derivatives of price movements to understand the velocity and acceleration of trends. This analysis is deepened by examining the rate of change (ROC), providing a multi-tiered view of how swiftly market conditions are evolving.
2. Volatility Insights: Recognizing volatility as a pivotal component of market behavior, the script incorporates volatility metrics to analyze market conditions. By evaluating historical price ranges and applying statistical models, it aims to gauge the potential for future price fluctuations, thus offering insights into market stability or turbulence without predicting specific movements.
3. Linear Regression and Predictive Analysis: The script utilizes linear regression to analyze price data points over a specified period, offering a statistical basis to understand the trajectory of market trends. This regression analysis is complemented by market momentum indicators, forming a predictive model that suggests potential areas where market activity might concentrate. It's important to note that these "predictions" are not certainties but rather statistically derived zones of interest based on historical data.
4. Market Sentiment and Risk Evaluation: Incorporating an evaluation of market sentiment, the script analyzes trends in trading volume and price action to deduce the prevailing market mood. Risk assessment tools, such as the analysis of statistical deviations and Value at Risk (VaR), are also applied to offer a perspective on the risk associated with current market conditions.
Operational Mechanism:
- By processing the integrated analysis, the script generates semaphore signals which are plotted on the trading chart. These signals are not direct buy or sell signals but are designed to highlight areas where, based on the script’s complex analysis, market activity might see significant developments.
- Additionally, the Semaphore Plot V2 features an information table that provides a retrospective analysis of the signals' alignment with market movements, offering traders a tool to assess the script's historical context.
Application and Utility:
- Traders can leverage the Semaphore Plot V2 by applying it to their TradingView charts and adjusting input settings such as lookback periods and sensitivity according to their preferences.
- The semaphore signals serve as markers for areas of potential interest. Traders are encouraged to interpret these signals within the context of their overall market analysis, incorporating other fundamental and technical analysis tools as necessary.
- The informational table serves as a resource for evaluating the historical context of the signals, providing an additional layer of insight for informed decision-making.
The Essence of Originality:
The Semaphore Plot V2 distinguishes itself through the innovative melding of traditional technical analysis components into a unique analytical concoction. This originality lies not in the creation of new technical indicators but in the novel integration and application of existing methodologies to offer a holistic view of market conditions.
Responsible Usage Disclaimer:
The financial markets are characterized by uncertainty, and the Semaphore Plot V2 is intended to serve as an analytical tool within a trader's arsenal, not a standalone solution for trading decisions. It is critical for users to understand that the script does not guarantee trading success nor does it claim to predict exact price movements. Traders should employ the Semaphore Plot V2 alongside comprehensive market analysis and sound risk management practices, acknowledging that past performance is not indicative of future results and that trading involves the risk of loss.
Machine Learning: Multiple Logistic Regression
Multiple Logistic Regression Indicator
The Logistic Regression Indicator for TradingView is a versatile tool that employs multiple logistic regression based on various technical indicators to generate potential buy and sell signals. By utilizing key indicators such as RSI, CCI, DMI, Aroon, EMA, and SuperTrend, the indicator aims to provide a systematic approach to decision-making in financial markets.
How It Works:
Technical Indicators:
The script uses multiple technical indicators such as RSI, CCI, DMI, Aroon, EMA, and SuperTrend as input variables for the logistic regression model.
These indicators are normalized to create categorical variables, providing a consistent scale for the model.
Logistic Regression:
The logistic regression function is applied to the normalized input variables (x1 to x6) with user-defined coefficients (b0 to b6).
The logistic regression model predicts the probability of a binary outcome, with values closer to 1 indicating a bullish signal and values closer to 0 indicating a bearish signal.
Loss Function (Cross-Entropy Loss):
The cross-entropy loss function is calculated to quantify the difference between the predicted probability and the actual outcome.
The goal is to minimize this loss, which essentially measures the model's accuracy.
// Error Function (cross-entropy loss)
loss(y, p) =>
-y * math.log(p) - (1 - y) * math.log(1 - p)
// y - depended variable
// p - multiple logistic regression
Gradient Descent:
Gradient descent is an optimization algorithm used to minimize the loss function by adjusting the weights of the logistic regression model.
The script iteratively updates the weights (b1 to b6) based on the negative gradient of the loss function with respect to each weight.
// Adjusting model weights using gradient descent
b1 -= lr * (p + loss) * x1
b2 -= lr * (p + loss) * x2
b3 -= lr * (p + loss) * x3
b4 -= lr * (p + loss) * x4
b5 -= lr * (p + loss) * x5
b6 -= lr * (p + loss) * x6
// lr - learning rate or step of learning
// p - multiple logistic regression
// x_n - variables
Learning Rate:
The learning rate (lr) determines the step size in the weight adjustment process. It prevents the algorithm from overshooting the minimum of the loss function.
Users can set the learning rate to control the speed and stability of the optimization process.
Visualization:
The script visualizes the output of the logistic regression model by coloring the SMA.
Arrows are plotted at crossover and crossunder points, indicating potential buy and sell signals.
Lables are showing logistic regression values from 1 to 0 above and below bars
Table Display:
A table is displayed on the chart, providing real-time information about the input variables, their values, and the learned coefficients.
This allows traders to monitor the model's interpretation of the technical indicators and observe how the coefficients change over time.
How to Use:
Parameter Adjustment:
Users can adjust the length of technical indicators (rsi_length, cci_length, etc.) and the Z score length based on their preference and market characteristics.
Set the initial values for the regression coefficients (b0 to b6) and the learning rate (lr) according to your trading strategy.
Signal Interpretation:
Buy signals are indicated by an upward arrow (▲), and sell signals are indicated by a downward arrow (▼).
The color-coded SMA provides a visual representation of the logistic regression output by color.
Table Information:
Monitor the table for real-time information on the input variables, their values, and the learned coefficients.
Keep an eye on the learning rate to ensure a balance between model adjustment speed and stability.
Backtesting and Validation:
Before using the script in live trading, conduct thorough backtesting to evaluate its performance under different market conditions.
Validate the model against historical data to ensure its reliability.
Difference from Highest Price (Last N Candles)The output of this TradingView indicator is a label that appears below the latest candle on the chart. This label provides information about:
The highest high of the last N candles.
The highest close of the last N candles.
The current trading price.
The percentage difference between the highest high and the current trading price.
The percentage difference between the highest close and the current trading price.
The percentage change in price from the previous candle.
The N-day average percentage change.
This information is useful for traders to understand the relationship between the current price and recent price action, as well as to identify potential overbought or oversold conditions based on the comparison with recent highs and closes.
Here's a breakdown of what the code does:
It takes an input parameter for the number of days (or candles) to consider (input_days).
It calculates the highest high and highest close of the last N candles (highest_last_n_high and highest_last_n_close).
It calculates the difference between the close of the current candle and the close of the previous candle (diff), along with the percentage change.
It maintains an array of percentage changes of the last N days (percentage_changes), updating it with the latest percentage change.
It calculates the sum of percentage changes and the N-day average percentage change.
It calculates the difference between the highest high/highest close of the last N candles and the current trading price, along with their percentage differences.
Finally, it plots this information as a label below the candle for the latest bar.
HSI - Halving Seasonality Index for Bitcoin (BTC) [Logue]Halving Seasonality Index (HSI) for Bitcoin (BTC) - The HSI takes advantage of the consistency of BTC cycles. Past cycles have formed macro tops around 538 days after each halving. Past cycles have formed macro bottoms every 948 days after each halving. Therefore, a linear "risk" curve can be created between the bottom and top dates to measure how close BTC might be to a bottom or a top. The default triggers are set at 98% risk for tops and 5% risk for bottoms. Extensions are also added as defaults to allow easy identification of the dates of the next top or bottom according to the HSI.
CSI - Calendar Seasonality Index for Bitcoin (BTC) [Logue]Calendar Seasonality Index (CSI) for Bitcoin (BTC) - The CSI takes advantage of the consistency of BTC cycles. Past cycles have formed macro tops every four years near November 21st, starting from in 2013. Past cycles have formed macro bottoms every four years near January 15th, starting from 2011. Therefore, a linear "risk" curve can be created between the bottom and top dates to measure how close BTC might be to a bottom or a top. The default triggers are at 98% risk for tops and 5% risk for bottoms. Extensions are also added as defaults to allow easy identification of the dates of the next top or bottom according to the CSI.
BigBeluga - BacktestingThe Backtesting System (SMC) is a strategy builder designed around concepts of Smart Money.
What makes this indicator unique is that users can build a wide variety of strategies thanks to the external source conditions and the built-in one that are coded around concepts of smart money.
🔶 FEATURES
🔹 Step Algorithm
Crafting Your Strategy:
You can add multiple steps to your strategy, using both internal and external (custom) conditions.
Evaluating Your Conditions:
The system evaluates your conditions sequentially.
Only after the previous step becomes true will the next one be evaluated.
This ensures your strategy only triggers when all specified conditions are met.
Executing Your Strategy:
Once all steps in your strategy are true, the backtester automatically opens a market order.
You can also configure exit conditions within the strategy builder to manage your positions effectively.
🔹 External and Internal build-in conditions
Users can choose to use external or internal conditions or just one of the two categories.
Build-in conditions:
CHoCH or BOS
CHoCH or BOS Sweep
CHoCH
BOS
CHoCH Sweep
BOS Sweep
OB Mitigated
Price Inside OB
FVG Mitigated
Raid Found
Price Inside FVG
SFP Created
Liquidity Print
Sweep Area
Breakdown of each of the options:
CHoCH: Change of Character (not Charter) is a change from bullish to bearish market or vice versa.
BOS: Break of Structure is a continuation of the current trend.
CHoCH or BOS Sweep: Liquidity taken out from the market within the structure.
OB Mitigated: An order block mitigated.
FVG Mitigated: An imbalance mitigated.
Raid Found: Liquidity taken out from an imbalance.
SFP Created: A Swing Failure Pattern detected.
Liquidity Print: A huge chunk of liquidity taken out from the market.
Sweep Area: A level regained from the structure.
Price inside OB/FVG: Price inside an order block or an imbalance.
External inputs can be anything that is plotted on the chart that has valid entry points, such as an RSI or a simple Supertrend.
Equal
Greather Than
Less Than
Crossing Over
Crossing Under
Crossing
🔹 Direction
Users can change the direction of each condition to either Bullish or Bearish. This can be useful if users want to long the market on a bearish condition or vice versa.
🔹 Build-in Stop-Loss and Take-Profit features
Tailoring Your Exits:
Similar to entry creation, the backtesting system allows you to build multi-step exit strategies.
Each step can utilize internal and external (custom) conditions.
This flexibility allows you to personalize your exit strategy based on your risk tolerance and trading goals.
Stop-Loss and Take-Profit Options:
The backtesting system offers various options for setting stop-loss and take-profit levels.
You can choose from:
Dynamic levels: These levels automatically adjust based on market movements, helping you manage risk and secure profits.
Specific price levels: You can set fixed stop-loss and take-profit levels based on your comfort level and analysis.
Price - Set x point to a specific price
Currency - Set x point away from tot Currency points
Ticks - Set x point away from tot ticks
Percent - Set x point away from a fixed %
ATR - Set x point away using the Averge True Range (200 bars)
Trailing Stop (Only for stop-loss order)
🔶 USAGE
Users can create a variety of strategies using this script, limited only by their imagination.
Long entry : Bullish CHoCH after price is inside a bullish order block
Short entry : Bearish CHoCH after price is inside a bearish order block
Stop-Loss : Trailing Stop set away from price by 0.2%
Example below using external conditions
Long entry : Bullish Liquidity Prints after bullish CHoCH
Short entry : Bearish Liquidity Prints after Bearish CHoCH
Long Exit : RSI Crossing over 70 line
Short Exit : RSI Crossing over 30 line
Stop-Loss : Trailing Stop set away from price by 0.3%
🔶 PROPERTIES
Users will need to adjust the property tabs according to their individual balance to achieve realistic results.
An important aspect to note is that past performance does not guarantee future results. This principle should always be kept in mind.
🔶 HOW TO ACCESS
You can see the Author Instructions to get access.
Emibap's HEX Uniswap v3 Liquidity PoolThis script will display a histogram of the Uniswap V3 HEX liquidity pool, versus as many tokens as possible.
Current supported pairs:
HEX/USDC
HEX/WETH
HEX/WETH.USD (Ethereum expressed in USD)
HEX/USDT (Just showing the USDC liquidity)
Similar to what you can see in the liquidity section of the Uniswap pool page but conveniently rendered alongside your chart.
It's meant to be used on a HEX / WETH chart only. The price should be expressed in WETH for it to work.
One of the main motivations for using this in your chart is to get an idea of the current sentiment: If most of the volume is above the price it might be an indication of an upcoming move up, for instance.
I'll try to update the liquidity regularly.
Using the 4h, daily, or weekly time frames is highly recommended.
The options are straightforward:
Histogram bars color. Default is blue
Histogram background color. Default is black at 20% opacity
Upper price limit of the diagram: Visible upper bound price limit for the histogram, based on the current price. I.E: 200%: If the price is 1, the histogram will show 3 as the upper bound
Lower price limit of the diagram. Visible lower bound price limit for the histogram, based on the current price. I.E: 99%: If the price is 1, the histogram will show 0. 01 as the upper bound
Width of the widest bar: Width (in bars) for the widest bar of the histogram. The more the higher resolution you'll get
Locked volume marker line thickness
Locked volume marker color
Relative Strength wrt ReferenceThis script evaluates the relative strength of the current symbol with respect to your chosen symbol. At the same time it gives an idea about the trend of the reference symbol.
Under default settings, it evaluates the strength with respect to NIFTY50.
While the value of the bars represents the relative strength, Colors of the bars indicate the relative strength status.
The condition action rules are as follows:
-Bar color blue implies that both the underlying and reference increased.
-Bar color green implies that the underlying increased but reference decreased.
-Bar color purple implies that both the underlying and reference decreased.
-Bar color red implies that the underlying decreased but reference increased.
On the other hand, the background colors indicate the general trend structure in the reference in terms of exponential moving averages and adx.
Green implies strong up trend.
Purple implies sideways to bullish trend.
Blue implies sideways to bearish trend
Red implies existing strong downtrend.
You can change the settings as per your choice.
Gabriels Trend Regularity Adaptive Moving Average Dragon This is an improved version of the trend following Williams Alligator, through the use of five Trend Regularity Adaptive Moving Averages (TRAMA) instead of three smoothed averages (SMMA). This indicator can double as a TRAMA Ribbon indicator by reducing the offset to zero. Whereas the active offset can double as a forecasting indicator for options and futures.
This indicator uses five TRAMAs, set at 8, 21, 55, 144, and 233 periods. They make up the Lips, Teeth, Jaws, Wings, and Tail of the Dragon. This indicator uses convergence-divergence relationships to build trading signals, with the Tail making the slowest turns and the Lips making the fastest turns. The Lips crossing downwards through the other lines signal a short opportunity, whereas Lips crossing upwards through other lines signal a buying opportunity. The downward cross can be referred to as the Dragon "Sleeping" , and the upward cross as the Dragon "Awakening" .
In particular, but not limited to, the Wings and Tail movements possess a Roar-like forecast effect on the market. Respectively, they can be referred to as the Dragon "Spreading its Wings" or "Swinging its Tail" .
The first three lines, stretching apart and constantly moving higher or lower, denote periods in which long or short equity positions should be managed and maintained. This can be referred to as the Dragon "Eating with a mouth wide open" . Whereas indicator lines converging into narrow bands and shifting into a horizontal position can denote a trending period coming to an end, signaling the need for profit-taking and position realignment. Conversely, a previous flat line moving can denote a new trending period starting.
This indicator can double as a Multiple TRAMAs indicator by reducing the offset to zero. As such, very interesting results can be observed when used in a moving average crossover system such as the Williams Alligator or as trailing support and resistance.
The following moving average adapts to the average of the highest high and lowest low made over a specific period, thus adapting to trend strength. The TRAMA can be used like most moving averages, with the advantage of being smoother during ranging markets because it is calculated through exponential averaging.
It is calculating, using a smoothing factor, the squared simple moving average of the number of highest highs or lowest lows previously made. Where the highest highs and lowest lows are calculated using rolling maximums and minimums. Therefore, squaring allows the moving average to penalize lower values, thus appearing stationary during ranging markets.
As with all moving averages, it is still a lagging indicator, and it can suffer whipsaws when the market moves too violently or when it consolidates in ranging conditions. Despite it working in all timeframes, it won't be as formidable in the 1–5-minute scalping timeframes due to that. I would suggest 5 to 45 minutes if you are a swing trader, or hourly, daily, and weekly if you are a long-term investor.
I hope you enjoy this indicator! It's the first indicator I made, so constructive criticism would be appreciated. Thanks!
MACD Based Price Forecasting [LuxAlgo]The MACD Based Price Forecasting tool is an innovative price forecasting method based on signals generated by the MACD indicator.
The forecast includes an area which can help traders determine the area where price can develop after a MACD signal.
🔶 USAGE
The forecast returned by the tool allows users to obtain a general picture of how price tends to progress after a specific MACD signal. The forecast is constructed based on percentiles of previous price progressions done after a specific MACD signal is generated.
Users can change which condition is used to generate MACD signals from the "Trend Determination" dropdown menu, with "MACD" determining trends based on whether the MACD is positive (uptrend) or negative (downtrend) and "MACD-Signal" determining trends based on the position of the MACD relative to its signal line, with an MACD above the signal line indicating an uptrend, else a downtrend.
Users can introduce bias to the forecast by changing the "Average Percentage" setting, with values above 50% introducing bullish bias, and below bearish bias.
It can be possible for the forecast to highlight potential reversals depending on the selected forecasting horizon as long as reversals can be observed on trends detected by the MACD.
🔹 Forecasting Area
The forecasting area can help visualize the area that will likely contain price after a specific signal. The area width is based on the "Top/Bottom Percentiles" settings, with a higher "Top Percentile" value returning a higher top bound and a lower "Bottom Percentile" value returning a lower bottom bound.
These areas can also serve as potential support/resistance areas.
🔶 SETTINGS
Fast Length: Fast length of the moving average used to compute the MACD
Slow Length: Slow length of the moving average used to compute the MACD
Signal Length: Length of the MACD moving average.
Trend Determination: Method used to determine a trend direction from the MACD.
🔹 Forecast
Maximum Memory: Determines the maximum amount of prices recorded at each steps succeeding a signal. Lower values will return forecasts with a higher degree of variability.
Forecasting Length: Forecasting horizon in bars, this value only serves as a limit of the forecasting horizon and might not be reached depending on user selected MACD settings.
Top Percentile: Percentile value used to determine the upper bound of the forecasting area.
Average Percentile: Percentile value used to determine the forecast.
Lower Percentile: Percentile value used to determine the lower bound of the forecasting area.
Seasonal Tendencies - SMC IndicatorsA Seasonal Tendency refers to a historical price action behaviour that tends to repeat during specific times of the year, month over month.
It's a roadmap to navigate price action on the daily chart to help determine the medium to long-term bias.
Seasonal Tendencies are NOT an exact prediction of future price action but rather serve as a guideline for spotting high-probability opportunities when combined with other elements of SMC Price Action analysis, such as Order Blocks, Fair Value Gaps, etc...
The Seasonal Tendencies Indicator has been tested to match what ICT has taught in his lectures. It can be applied to any Market or Asset. However, it's limited by the maximum number of years available on tradingview.
Traders can use this Seasonal Tendencies indicator to support their already existing analysis as an added confirmation tool. This indicator should not be used as a main reason to enter a trade idea.
The Seasonal Tendencies Indicator can be used in 2 ways:
1) To look for potential points of long-term reversals during specific times of the year.
2) To look for confirmation and align with an existing long-term trend.
So how does it work?
The Seasonal Tendencies Indicator takes the averages of the last 30, 10, and 5 years' prices by default and compares them to the current year's price action (Green Line).
However, the number of years chosen for the averages can be modified in the indicator's setting.
When looking at the historical price action lines, generally, the price tends to make the lows and highs during specific times of the year.
Note that we should not look at the exact dates these lows and highs form, but we take time periods conceptually instead.
In the example below, the SP500 5-year average made the low on 14 March, and the SP500 10-year average made the low on 23 March.
This gives us the idea that "generally" SP500 makes the low of the year around the 2nd to 3rd week of March every year.
So, IF the trader's analysis was pointing out that SP500 is Bullish, then we use the information that we derived from the Seasonal Tendencies Indicator to look for long setups around the 2nd to 3rd week of March for medium to long-term swing trades.
The Seasonal Tendencies Indicator can also be useful for day traders as it helps support their daily bias to look for trades within the direction of the higher timeframe trend.
How do we measure the strength of the Seasonal Tendencies?
When using the Seasonal Tendencies Indicator, it's important to look for periods where the averages converge and get closer to each other. This usually indicates that during those specific periods, there is a high probability for the price to behave in a certain way.
So the closer the averages are to each other, the more likely the price would respect the Seasonal Tendencies.
Bonus Feature
Premium Discount Range
As a bonus feature, split the Seasonal Tendencies Indicator's Range into 4 quarters to indicate when the price is at a Premium (above the 50% level in Red) and when the price is at a Discount (below the 50% level in blue).
Each Premium and Discount range is also split into 2 halves.
Those levels can also be used to identify potential turning points when comparing the Current Year's price positioning in the Yearly Range to historical price action.
As you can see from the example below, most major turning points happen at around key price levels.
Otekura Range Trade Algorithm [Chain Hood]The Range Trade Algorithm calculates the levels for Monday.
On the chart you will see that the Monday levels will be marked as 1 0 -1.
The M High level calculates Monday's high close and plots it on the screen.
M Low calculates the low close of Monday and plots it on the screen.
The coloured lines on the screen are the points of the range levels formulated with fibonacci values.
The indicator has its own Value table. The prices of the levels are written.
Potential Range breakout targets tell prices at points matching the fibonacci values. These are Take profit or reversal points.
Buy and Sell indicators are determined by the range breakout.
Users can set an alarm on the indicator and receive direct notification with their targets when a new range occurs.
Fib values are multiplied by range values and create an average target according to the price situation. These values represent an area. Breakdown targets show that the target is targeted until the area.
CryptoGraph Dynamic DCAA system to backtest and automate comprehensive trading strategies
═════════════════════════════════════════════════════════════════════════
🟣 Supporting Your Trades
CryptoGraph Dynamic DCA serves as a comprehensive tool on TradingView, designed to refine your approach to cryptocurrency trading. It utilises dynamic dollar-cost averaging (DCA), based on external indicator sources, to provide structured market entry and exit strategies. Suitable for both short-term trading and long-term portfolio management, CryptoGraph Dynamic DCA can offer a methodical way to support your trading decisions.
The tool offers an intuitive interface with inputs for strategy customisation, visualised preferences, and bot alert configurations. It can assist traders seeking precision, adaptability, and control in their trading activities. In the example on the chart above, we use the CryptoGraph Entry Builder (part of CryptoGraph Dynamic DCA package) as an external source for our initial entry (base order) and our safety orders, as well as an external source for our second take profit, which can be configured to be signal based.
🟣 Features
External Entry/Exit sources: The strategy is designed to assist with accurate market entries and exits by utilising signals from external indicators. It offers the flexibility to tailor your trading approach, providing an opportunity to leverage the analytical capabilities of various indicators available on TradingView.
Strategic Direction Control: Configure your strategy to go long, short, or both, adapting to market trends and your trading style.
Leverage Customisation: Tailor your leverage settings for isolated or cross margin to align with your risk tolerance, a liquidation estimation level is plotted on the chart, based on your input settings.
Diverse Entry Points: Utilise base orders and safety orders to diversify your entry points, reducing risk and enhancing potential returns.
Tailored Order Size: Fine-tune your order sizes using margin percentages or fixed contract sizes to fit your strategy’s requirements.
Profit Taking & Loss Prevention: Set take profit levels and stop losses with percentage or ATR-based parameters to secure profits and minimise losses. Options for moving the stop loss to entry after Take Profit 1, with an adjustable buffer, give you control over your risk management.
Max Safety Orders Count: Determine the maximum number of safety orders to manage risk effectively.
Price Deviation for DCA Orders: Specify the minimum price deviation percentage to trigger DCA orders, ensuring strategic order placement.
DCA Size Method: Choose from scaling or fixed-size DCA orders to align with your capital allocation strategy.
Visualisation & Alerts: Analyse your strategy’s performance with a backtest results table and configure bot alerts for automated trading. Auto configuration methods are integrated for multiple automated trading platforms.
🟣 Features Impression
🟣 Usage Guide
1. Strategy Configuration:
Select the appropriate cryptocurrency pair and exchange that corresponds to your trading preferences.
Choose your desired chart timeframe to align with your trading strategy’s temporal scope.
Ensure that you’re utilising the regular candle type for consistent and reliable data interpretation.
Pick an external entry source to trigger your trades based on predefined indicators or conditions.
Determine your take profit and stop loss levels to manage risks and secure earnings effectively.
Configure your DCA (Dollar-Cost Averaging) settings, including safety orders and the scaling method, to enhance entry points and manage investment distribution.
Always consult the tooltips next to each strategy input, to better understand their functions.
2. Backtest and Analysis:
Run backtests with your configured parameters to assess the strategy’s potential performance.
Review the backtest results and statistics tables to understand the strategy’s effectiveness, risk profile, and profitability.
3. Automated Trading Platform Integration:
Connect the strategy to a compatible automated trading platform to enable real-time execution of trades.
Within the trading platform, ensure the proper API setup of the bot’s configuration to align with the signals from the tool.
4. Alert Configuration in TradingView:
Set up the alert conditions in the TradingView tool to match your strategy triggers for entry, exit, take profit, and stop loss.
Configure the connection parameters within the tool to communicate effectively with your chosen automated trading platform
Activate the alerts, ensuring they are set to trigger actions such as order placement, adjustments, or closures as per your strategy’s logic.
5. Capital Management:
Confirm that your initial capital and order size are logically set, keeping in mind that the sum of all deals, especially when using pyramiding with safety orders, should not exceed your initial capital to avoid overexposure.
🟣 Trade Example
A clear example of a trade. Base order entry, safety order 1 fills, take profit 1 hits at 1%, the remainder of the position runs until the exit signal fires.
🟣 Warning
This tool has been developed to support your trading analysis, yet it’s important to acknowledge the inherent risks associated with trading. It is advisable to perform thorough research, assess your risk tolerance, and utilise this tool as one element of an overall trading strategy. Ensure that you only trade with capital that you are prepared to risk. In addition, due to the complexity of the tool, bugs may be found. Please alert us whenever you think you have found a bug in the system.
Arbitrage Spread v3 : 12 spreads dashboard [Arby.Trade]This indicator allows you to track in real time the change in the spread (the difference in the exchange rate) between two assets simultaneously for 12 trading pairs.
⚙️ How does the indicator work?
In the indicator settings menu, the user selects two trading pairs, for example BTCUSDT on the Binance exchange and BTCUSDT on the Bybit exchange, after which the script will receive prices from both exchanges and compare them with each other, calculating the percentage deviation between prices (spread). The script will do this work with all 12 trading pairs added to the script settings menu. The script can only work with those assets and exchanges that are on board TradingView, and this is not a small thing.
⚡️ How to use it?
At times when the spread value is negative, this means that the price of the asset on the first exchange is less than on the second. That is, by buying an asset on the first exchange and selling it on the second one, you can earn money (of course, it is important to take into account the commissions of the exchanges for these transactions). When the spread is above zero, the opposite is true. The exchanges and the prices at which to buy are displayed in the green Buy row. Prices and exchanges for sale are in the Sell row and highlighted in red. When the spread is zero, the prices on both exchanges are the same and there is no arbitrage situation.
To improve the accuracy of the indicator, try to use the minimum timeframe available for your TradingView subscription – minute or second.
🕒 Counter of arbitration situations
For each trading pair, the table below the Buy row shows the number of arbitrage situations that have been on the asset for a certain period of time. In this case, an arbitrage situation is understood as the moment when the spread value exceeded the Signal Threshold Level set by the user. Each time the spread value of the Signal Threshold Level is exceeded, the counter will add one. The counter takes into account only those arbitrage situations that were on the market during the time period back from the current moment. For example, for a 1-hour period (1h) of the counter, the number of arbitration situations for the last hour will be displayed. For each asset you can simultaneously track the number of arbitrage situations during three selected time periods from 5 minutes to a day.
The counter will allow you to evaluate the prospects of arbitrage of selected trading pairs. For example, if the number of arbitrage situations on a trading pair was 1-2 within an hour, then it is obvious that it is better not to waste time waiting for another such situation on this pair and look for the next one.
🔔 Setting up Alerts
In the script settings, you can set the threshold value of the spread – Spread Signal Threshold. When this level is reached, the table related to the asset whose spread has reached this level will be highlighted. Also, this level is a signal level for setting up alerts from the indicator.
To set up alerts, open the Alerts tab in the TradingView menu on the right. Click the "Create Alert" button. Then, in the window that opens, select this indicator in the "Condition" line. After that, you can set a name for this alert and complete the notification setup by clicking the "Create" button.
We, the authors of this script, have been engaged in cryptocurrency arbitrage for a long time and, first of all, created it for ourselves and our daily arbitrage trading, but this does not prevent you from using it at your discretion for any types of assets and in any markets.
We have a lighter version of the indicator that allows you to track the spread for only one trading pair or three at the same time. In these versions you can also view the chart of the spread itself, which can be useful for assessing the nature of the spread movement in the history. If this indicator seems too heavy for you and your device, you can use these lighter versions:
🧩 Arbitrage Spread v1 : 1 pair + 1 chart
🧩 Arbitrage Spread v2 : 3 pairs + 3 charts
If, on the contrary, the capabilities of your hardware allow, do not forget that you can always add several indicators to your screen – for example, use the version with 12 pairs as a dashboard with many pairs, and in addition to it one of the versions with a spread chart and look at a more detailed picture of one or three instruments separately.
--
Данный индикатор позволяет отслеживать в реальном времени изменение спреда (разницы в курсе) между двумя активами одновременно для 12 торговых пар.
⚙️ Как устроен индикатор?
В меню настроек индикатора пользователь выбирает две торговые пары, например BTCUSDT на бирже Binance и BTCUSDT на бирже Bybit, после чего скрипт получит цены с обеих бирж и сравнит их между собой, рассчитав процентное отклонение между ценами (спред). Такую работу скрипт проделает со всеми 12 торговыми парами добавленными в меню настроек скрипта. Скрипт может работать только с теми активами и биржами, которые есть на борту TradingView, и это не мало.
⚡️ Как пользоваться?
В моменты, когда значение спреда отрицательное, это означает, что цена на актив на первой бирже меньше, чем на второй. То есть, купив актив на первой бирже и продав его на второй можно заработать (конечно при этом важно учитывать комиссии бирж на совершение данных сделок). Когда спред выше нуля - наоборот. Биржи и цены, по которым надо покупать отображаются в зеленой строке Buy. Цены и биржи для продажи – в строке Sell и выделены красным цветом. Когда спред равен нулю – цены на обеих биржах одинаковы и арбитражная ситуация отсутствует.
Для повышения точности работы индикатора старайтесь использовать минимально доступный для вашей подписки TradingView таймфрейм – минутный или секундный.
🕒 Счетчик арбитражных ситуаций
По каждой торговой паре в таблице под строкой Buy отображается количество арбитражных ситуаций, которые были на инструменте в течение определенного промежутка времени. В данном случае под арбитражной ситуацией понимается момент, когда значение спреда превысило установленный пользователем сигнальный уровень спреда Signal Threshold Level. При каждом превышении значения спреда уровня Signal Threshold Level счетчик будет прибавлять единицу. Счетчик учитывает только те арбитражные ситуации, которые были на рынке в течение временного периода назад от текущего момента. К примеру, для 1-часового периода (1h) счетчика будет отображаться количество арбитражных ситуаций за последний час. По каждому инструменту одновременно можно отслеживать количество арбитражных ситуаций в течение трех выбранных временных периода от 5 минут до суток.
Счетчик позволит оценить перспективность арбитража выбранных торговых пар. К примеру, если количество арбитражных ситуаций на торговой паре в течение часа было 1-2, то очевидно, что лучше не тратить время на ожидание очередной такой ситуации на данной паре и поискать следующую.
🔔 Настройка оповещений
В настройках скрипта можно настроить пороговое значение спреда – Spread Signal Threshold. При достижении этого уровня будет подсвечена таблица относящаяся к активу, спред которого достиг этого уровня. Так же, этот уровень является сигнальным для настройки оповещений от индикатора.
Для настройки оповещений откройте вкладку «Оповещения» в меню TradingView справа. Нажмите кнопку «Создать оповещение». Затем в открывшемся окне в строке «Условие» выберете данный индикатор. После чего вы можете задать название данному оповещению и завершить настройку оповещения, нажав кнопку «Создать».
Мы, авторы данного скрипта, давно занимаемся арбитражем криптовалюты и, в первую очередь, создавали его для себя и своей каждодневной арбитражной торговли, но это не мешает вам использовать его по своему усмотрению для любых видов активов и на любых рынках.
У нас есть более легкая версия индикатора, позволяющая отслеживать спред только по одной торговой паре или одновременно по трем. В этих версиях также можно просматривать график самого спреда, что может быть полезным для оценки характера движения спреда в истории. Если данный индикатор покажется для вас и вашего устройства слишком тяжелым вы можете воспользоваться этими более легкими версиями:
🧩 Arbitrage Spread v1 : 1 pair + 1 chart
🧩 Arbitrage Spread v2 : 3 pairs + 3 charts
Если, наоборот, возможности вашего железа позволяют, не забывайте, что вы всегда можете добавить себе на экран несколько индикаторов – например, версию с 12 парами использовать как дашборд с множеством пар, а в дополнение к ней одну из версий с графиком спреда и смотреть более детальную картину по одному или трем инструментам отдельно.
Seasonality ForecastThe Seasonality Forecast indicator equips TradingView users with a detailed analysis of seasonal price trends, utilizing historical data across daily, weekly, and monthly timeframes. By calculating average price movements over selectable periods up to 10 years, it overlays a seasonal chart on the price chart to elucidate potential trends.
Operational Mechanics
Historical Data Analysis: The indicator processes historical data, calculating average price changes from one bar to the next. This forms the basis of the seasonal chart, offering insights into long-term price movements.
Seasonal Chart Overlay: Adjustments are made to ensure the seasonal chart aligns with the price chart in height, providing a unified view. The de-trending process standardizes each year's data, facilitating direct comparison across time without the influence of overarching price trends.
Customization and Methodology
User Inputs: Traders can tailor the analysis with settings for the lookback period, future projection, and smoothing, aligning the tool with diverse trading strategies.
De-trending and Smoothing: The de-trending method isolates cyclical patterns by removing linear trends, while smoothing techniques reduce data noise, sharpening the focus on meaningful trends.
Pivot Point Analysis: It uses algorithms for detecting pivot points based on historical price actions, signaling potential market turns. This analytical method is crucial for identifying shifts that may indicate future market directions.
Technical Foundations
The Seasonality Forecast indicator leverages known financial analysis techniques to enhance its effectiveness:
Time Series Analysis: Fundamental to the indicator's operation is time series analysis, particularly focusing on cyclical patterns within market data. This approach underpins the seasonal trend analysis, offering a structured view of historical price behavior.
Statistical Smoothing: Smoothing methods, such as moving averages, are applied to the seasonal data to clarify trends by mitigating volatility and short-term fluctuations, making underlying patterns more apparent.
Technical Analysis for Pivot Points: The calculation of pivot points draws on principles of technical analysis, identifying areas where the market's direction has historically shown a tendency to change. This aspect of the tool is instrumental in forecasting potential market movements.
Practical Application
This indicator is invaluable for traders aiming to leverage historical market performance in their analysis, enabling:
Strategic planning based on seasonal patterns, enhancing entry and exit decisions.
Adjusted risk management strategies in anticipation of seasonal volatility.
Identification of potential trend reversals or continuations at pivotal moments in the market cycle.
By integrating historical analysis with technical insights, the Seasonality Forecast indicator provides a nuanced tool for traders looking to deepen their market analysis and refine their trading strategies with a historical perspective.
[The_lurker] RSI-MFI-WPR Indicatoris an advanced trading indicator developed for the TradingView platform, which synergistically refers to the insights of three popular technical analysis tools: the Relative Strength Index (RSI), the Money Flow Index (MFI) and the Williams Indicator. Percentage range (WPR). This indicator is precisely designed to help traders identify potential buy and sell opportunities by accurately interpreting market momentum, volume, and price position relative to recent highs and lows.
The primary goal of the RSI-MFI-WPR Indicator is to provide a comprehensive tool that leverages the combined power of RSI, MFI and WPR to detect overbought and oversold conditions, indicating potential market reversal points. This multi-faceted approach aims to provide traders with a more robust framework for making informed decisions, and enhance their trading strategy through multi-indicator analysis.
Explanation of the indicator conditions
The essence of this indicator lies in its strategic conditions that indicate possible entry and exit points:
Oversold Condition (Condition): This is determined when the RSI and MFI are below 30, and the WPR drops below -91, indicating a strong oversold condition in the market. Such a scenario usually indicates a buying opportunity, assuming that the market may rebound from this oversold state.
Divergence Condition (Condition 1): Checks if the MFI exceeds 2.1 times the RSI. This unique case aims to highlight instances where there is a significant inflow of funds into an asset, which is not proportionately reflected in its RSI, which may indicate an upcoming price increase or highlight an unusual market situation for further From the analysis.
Overbought Warning (conditionExit): An exit signal is triggered when both the MFI and RSI exceed 85, and the WPR is above -15. This combination indicates an overbought condition in the market, indicating that the asset may be overvalued and that a price correction or reversal may be imminent, thus indicating a potential selling opportunity or a warning of initiating new positions.
Application and visualization
The RSI-MFI-WPR Indicator not only provides numerical insights but also displays these conditions on a TradingView chart. Through the use of color coding and plotting, it provides traders with an intuitive way to distinguish market conditions, enabling quick and effective decision-making. Incorporating alert conditions ensures that traders are immediately notified of important market events, in line with their strategic trading objectives.
Planning and alerts in “RSI-MFI-WPR Indicator”
Collected alert status
CombinedAlertCondition is a logical statement that combines all individual conditions (Condition, Condition1, Condition Exit, and The_lurkerMFI_oversold) into a single alert trigger. This condition becomes true and triggers an alert if any of the conditions specified for potential trading opportunities or warnings are met. It is designed to provide a comprehensive alert system that informs the trader of any important signal identified by the indicator, including entry and exit signals as well as oversold conditions.
Visual indicators
Background color for oversold condition: The script sets the background color to a specific shade of blue ( with 90% transparency) when the custom MFI indicates an oversold condition (The_lurkerMFI_oversold). This visual signal helps traders quickly recognize periods when the market may be undervalued and potentially poised for a rebound.
Drawing warning and exit signs:
Entry Signals: For Condition and Condition 1, which identify potential entry points, the indicator draws upward pointing triangles below the price bars. These triangles are colored in specific shades to differentiate signals from a fundamental oversold condition and a divergence condition, making it intuitive for traders to recognize the type of signal.
Exit Signals: For an exit condition, which indicates overbought conditions that may indicate an impending price correction, red downward-pointing triangles are drawn above the price bars. This serves as a clear visual warning to consider exiting positions or proceed with caution.
Configure the alarm
The script uses the conditional alert function to create an alert based on the AlertCondition combination. When this condition is met, any of the predefined signals are indicated
Conclusion
In short, the “RSI-MFI-WPR Indicator” stands out as a versatile and dynamic indicator that enriches a trader's toolkit by combining the analytical strengths of RSI, MFI and WPR. By setting clear conditions for entry and exit points from the market, it facilitates a proactive approach to trading, based on a detailed examination of market dynamics. This indicator demonstrates how mixing multiple technical tools can lead to more informed and accurate market analysis, with the aim of elevating the trading experience on Tradingview.
==================================================================================
هو مؤشر تداول متقدم تم تطويره لمنصة TradingView،
والذي يشير بشكل تآزري إلى رؤى ثلاث أدوات تحليل فني شائعة:
1- مؤشر القوة النسبية (RSI)،
2- مؤشر تدفق الأموال (MFI)،
3- مؤشر ويليامز. نطاق النسبة المئوية (WPR).
تم تصميم هذا المؤشر بدقة لمساعدة المتداولين على تحديد فرص الشراء والبيع المحتملة من خلال التفسير الدقيق لزخم السوق وحجمه وموقع السعر بالنسبة إلى الارتفاعات والانخفاضات الأخيرة.
الهدف الأساسي لمؤشر RSI-MFI-WPR هو توفير أداة شاملة تستفيد من القوة المشتركة لمؤشر RSI وMFI وWPR للكشف عن ظروف ذروة الشراء والمبالغة في البيع، مما يشير إلى نقاط انعكاس السوق المحتملة. ويهدف هذا النهج متعدد الأوجه إلى تزويد المتداولين بإطار أكثر قوة لاتخاذ قرارات مستنيرة، وتعزيز استراتيجية التداول الخاصة بهم من خلال تحليل متعدد المؤشرات.
شرح شروط المؤشر
يكمن جوهر هذا المؤشر في ظروفه الإستراتيجية التي تشير إلى نقاط الدخول والخروج المحتملة:
حالة ذروة البيع (الحالة): يتم تحديد ذلك عندما يكون مؤشر القوة النسبية RSI وMFI أقل من 30، وينخفض WPR إلى أقل من -92، مما يشير إلى حالة ذروة بيع قوية في السوق. يشير مثل هذا السيناريو عادةً إلى فرصة شراء، على افتراض أن السوق قد ينتعش من حالة ذروة البيع هذه.
شرط الاختلاف (الشرط 1): يتحقق مما إذا كانت السيولة تتجاوز 2.1 مرة مؤشر القوة النسبية. تهدف هذه الحالة الفريدة إلى تسليط الضوء على الحالات التي يوجد فيها تدفق كبير للأموال إلى أحد الأصول، وهو ما لا ينعكس بشكل متناسب في مؤشر القوة النسبية الخاص به، مما قد يشير إلى زيادة قادمة في الأسعار أو يسلط الضوء على وضع غير عادي في السوق لمزيد من التحليل.
تحذير ذروة الشراء (conditionExit): يتم إطلاق إشارة خروج عندما يتجاوز مؤشر MFI ومؤشر القوة النسبية 85، ويكون WPR أعلى من -15. يشير هذا المزيج إلى حالة ذروة الشراء في السوق، مما يشير إلى أن الأصل قد يكون مبالغًا في قيمته وأن تصحيح السعر أو انعكاسه قد يكون وشيكًا، مما يشير إلى فرصة بيع محتملة أو تحذير ببدء مراكز جديدة.
التطبيق والتصور
لا يوفر مؤشر RSI-MFI-WPR رؤى رقمية فحسب، بل يعرض أيضًا هذه الشروط على مخطط TradingView. من خلال استخدام الترميز اللوني والتخطيط، فإنه يوفر للمتداولين طريقة بديهية للتمييز بين ظروف السوق، مما يتيح اتخاذ قرارات سريعة وفعالة. يضمن دمج شروط التنبيه إخطار المتداولين على الفور بأحداث السوق المهمة، بما يتماشى مع أهدافهم التجارية الإستراتيجية.
التخطيط والتنبيهات في مؤشر RSI-MFI-WPR
حالة التنبيه التي تم جمعها ( CombinedAlertCondition ) عبارة منطقية تجمع كل الشروط الفردية
Condition، Condition1، Condition Exit، وThe_lurkerMFI_oversold في مشغل تنبيه واحد.
ليصبح هذا الشرط صحيحًا ويطلق تنبيهًا في حالة استيفاء أي من الشروط المحددة لفرص التداول المحتملة أو التحذيرات. وهو مصمم لتوفير نظام تنبيه شامل يُعلم المتداول بأي إشارة مهمة يحددها المؤشر، بما في ذلك إشارات الدخول والخروج بالإضافة إلى ظروف ذروة البيع.
المؤشرات البصرية
لون الخلفية لحالة ذروة البيع: يقوم البرنامج النصي بتعيين لون الخلفية إلى ظل معين من اللون الأزرق (بشفافية 90٪) عندما تشير مؤسسة التمويل الأصغر المخصصة إلى حالة ذروة البيع (The_lurkerMFI_oversold). تساعد هذه الإشارة المرئية المتداولين على التعرف بسرعة على الفترات التي قد تكون فيها السوق مقومة بأقل من قيمتها الحقيقية ومن المحتمل أن تكون مستعدة للانتعاش.
رسم علامات التحذير والخروج:
إشارات الدخول: بالنسبة للحالة والحالة 1، التي تحدد نقاط الدخول المحتملة، يرسم المؤشر مثلثات تشير إلى الأعلى أسفل أشرطة السعر. يتم تلوين هذه المثلثات بظلال محددة لتمييز الإشارات عن حالة ذروة البيع الأساسية وحالة التباعد، مما يجعل من السهل على المتداولين التعرف على نوع الإشارة.
إشارات الخروج: بالنسبة لحالة الخروج، التي تشير إلى ظروف ذروة الشراء التي قد تشير إلى تصحيح وشيك للسعر، يتم رسم مثلثات حمراء تشير إلى الأسفل فوق أشرطة السعر. يعد هذا بمثابة تحذير مرئي واضح للنظر في الخروج من المواقف أو المضي قدمًا بحذر.
تكوين المنبه
يستخدم البرنامج النصي وظيفة التنبيه الشرطي لإنشاء تنبيه بناءً على مجموعة AlertCondition. عند استيفاء هذا الشرط، تتم الإشارة إلى أي من الإشارات المحددة مسبقًا
خاتمة
باختصار، يبرز "مؤشر RSI-MFI-WPR" كمؤشر متعدد الاستخدامات وديناميكي يثري مجموعة أدوات المتداول من خلال الجمع بين نقاط القوة التحليلية لـ RSI وMFI وWPR. ومن خلال وضع شروط واضحة لنقاط الدخول والخروج من السوق، فإنه يسهل اتباع نهج استباقي للتداول، بناءً على فحص تفصيلي لديناميكيات السوق. يوضح هذا المؤشر كيف أن الجمع بين أدوات فنية متعددة يمكن أن يؤدي إلى تحليل سوق أكثر استنارة ودقة، بهدف رفع مستوى تجربة التداول على Tradingview.
==================================================================================
باختصار :
1- ظهور المثلث الاصفر يعني تواجد سيولة كبيره ( مفيد جدا لعملات البومب ) .
2- ظهور المثلث الأبيض يعني وصول الى مستويات تشبع البيع وهي فرصة ممتازه للشراء ( منطقة دخول ).
3- ظهور خط افقي يعني قرب عكس الاتجاه الى أعلى ( منطقة دخول ) .
4- ظهور مثلث أحمر يعني قرب عكس الاتجاه الى أسفل ( منطقة خروج ) .
5- التنبيه يعمل على جميع ما ذكر أعلاه في تنبيه واحد حتى تسهل المراقبة .
6- أفضل فواصل الاستخدام ( 4 ساعات ، 12 ساعه ، يوم ) .
Mean and Standard Deviation Lines Description:
Calculates the mean and standard deviation of close-to-close price differences over a specified period, providing insights into price volatility and potential breakouts.
Manually calculates mean and standard deviation for a deeper understanding of statistical concepts.
Plots the mean line, upper bound (mean + standard deviation), and lower bound (mean - standard deviation) to visualize price behavior relative to these levels.
Highlights bars that cross the upper or lower bounds with green (above) or red (below) triangles for easy identification of potential breakouts or breakdowns.
Customizable period input allows for analysis of short-term or long-term volatility patterns.
Probability Interpretations based on Standard Deviation:
50% probability: mean or expected value
68% probability: Values within 1 standard deviation of the mean (mean ± stdev) represent roughly 68% of the data in a normal distribution. This implies that around 68% of closing prices in the past period fell within this range.
95% probability: Expanding to 2 standard deviations (mean ± 2*stdev) captures approximately 95% of the data. So, in theory, there's a 95% chance that future closing prices will fall within this wider range.
99.7% probability: Going further to 3 standard deviations (mean ± 3*stdev) encompasses nearly 99.7% of the data. However, these extreme values become less likely as you move further away from the mean.
Key Features:
Uses manual calculations for mean and standard deviation, providing a hands-on approach.
Excludes the current bar's close price from calculations for more accurate analysis of past data.
Ensures valid index usage for robust calculation logic.
Employs unbiased standard deviation calculation for better statistical validity.
Offers clear visual representation of mean and volatility bands.
Considerations:
Manual calculations might have a slight performance impact compared to built-in functions.
Not a perfect normal distribution: Financial markets often deviate from a perfect normal distribution. This means probability interpretations based on standard deviation shouldn't be taken as absolute truths.
Non-stationarity: Market conditions and price behavior can change over time, impacting the validity of past data as a future predictor.
Other factors: Many other factors influence price movements beyond just the mean and standard deviation.
Always consider other technical and fundamental factors when making trading decisions.
Potential Use Cases:
Identifying periods of high or low volatility.
Discovering potential breakout or breakdown opportunities.
Comparing volatility across different timeframes.
Complementing other technical indicators for confirmation.
Understanding statistical concepts for financial analysis.
UP DOWN Indicator 1Title: UP DOWN Indicator based on ADX Strategy - Accurate Signal Provider with Enhanced Success Potential
Description:
The Martingale ADX Indicator is a groundbreaking tool meticulously crafted to offer traders unparalleled precision in signal generation and risk management. Leveraging the power of the Average Directional Index (ADX), this indicator provides 100% non-repaint signals on the current candle, guiding traders to opportune and prepare for trade entry with remarkable accuracy.
With a focus on empowering traders across various financial markets, including Forex and Binary Options, this ADX Strategy-1 Indicator introduces a unique approach to trading dynamics. By seamlessly integrating the renowned Martingale Step-1 risk management strategy, this indicator not only minimizes losses but also enhances the potential for success, even in volatile market conditions.
Key Features:
Non-Repaint Signals: The Martingale ADX Indicator stands as a testament to reliability, offering 100% non-repaint signals. Traders can trust in the consistency and not removing losing Signals which is very important to trust the previous generated signals also, eliminating uncertainties and facilitating confident decision-making.
ADX-Based Precision: Built upon the robust framework of the Average Directional Index (ADX), this indicator delivers precise signals tailored to prevailing market trends and volatility levels. Whether trading in longer timeframes or engaging in Binary Options, traders can rely on the Martingale Step-1 ADX Indicator for superior insights.
Next Candle Trading: Seamlessly integrated into trading strategies, signals from the Martingale ADX Indicator prompt action on the subsequent candle. This real-time approach ensures traders stay ahead of market movements, seizing opportunities as they emerge. Giving Signals Once Candle ahead makes traders to prepare early and decide whether they want to enter the trade on presented Signal or not as per their own experience too. If the trading candle is loss then the very next candle shall be used for taking Martingale Sep-1 to enhance the Accuracy.
Enhanced Success Potential: With Martingale Step-1 risk management, this ADX Indicator offers more than just signal accuracy – it presents the potential for heightened success rates. Through strategic position sizing and leveraging experience and Price Action insights, traders can elevate overall accuracy to levels ranging from 80% to 90%.
Conclusion:
The UP DOWN Strategy-1 Indicator represents a paradigm shift in trading technology, combining precision signal generation with advanced risk management strategies. Whether you're a seasoned trader or just starting your journey, this indicator empowers you to navigate financial markets with confidence and achieve consistent results.
Experience the difference with the Martingale ADX Indicator – where reliability meets profitability, and success becomes attainable with every trade.
Trade wisely, and may your ventures be marked by prosperity and fulfillment.
Pardon for any descriptive language grammatical error and comment about this indicator and to get my other strategy as well. Happy trading !!
Risk Disclaimer:
Trading in financial markets carries inherent risks and should be approached with caution. It is imperative to exercise sound judgment and trade only with funds that you can afford to lose. We strongly advise against using borrowed funds for trading purposes. First practice on demo for own learning then make decision wisely.
BBO_Roxana_Signals MACD + volDescription of BBO_Roxana_Signals MACD + vol Script
This script is designed to provide trading signals based on a combination of the MACD (Moving Average Convergence Divergence) indicator and volume analysis. Here's a systematic breakdown of how the script functions:
Volume Accumulation Check:
The script first accumulates volume data over time. It ensures that there's volume data available for analysis. If no volume data is provided, it generates a runtime error.
MACD Calculation:
The script calculates the MACD indicator using the provided parameters, including fast and slow lengths for exponential moving averages (EMA), as well as signal smoothing.
It computes the fast and slow EMAs, calculates the MACD line by subtracting the slow EMA from the fast EMA, and then computes the signal line.
Volume Oscillator Calculation:
It calculates a volume oscillator by computing the difference between short and long EMAs of volume and then normalizing the result to a percentage.
Signal Generation:
Long signals are generated when there's a crossover of the MACD line above the zero line and the volume oscillator is above the zero line. These are marked on the chart with upward green triangles.
Short signals are generated when there's a crossunder of the MACD line below the zero line and the volume oscillator is above the zero line. These are marked on the chart with downward red triangles.
Alerts:
The script also provides alerts for long signals, short signals, and combined signals. These alerts can be used for automated trading or as notifications for manual trading decisions.
Recommendation:
This script should be used in conjunction with other technical analysis tools and trend analysis for comprehensive trading decisions.
It's advisable to backtest the strategy on historical data before deploying it in live trading to evaluate its effectiveness and suitability for your trading goals.
By integrating MACD analysis with volume analysis, the script aims to provide signals based on both momentum and volume trends, offering a more comprehensive approach to trading decision-making.
LV Stock Valuation by Benjamin Graham's FormulaBenjamin Graham's stock valuation formula for growth companies is based on the principle that a stock is a part of a business, and that by analyzing the fundamentals of any company in the stock market, you should be able to derive its intrinsic value independent from its current stock price. Graham suggests that over the long-term, the stock price of a company and its intrinsic/fair value will converge towards each other until the stock price reflects the true value of the company. Finally, Graham recommends that after estimating the intrinsic value of a stock, investors should always purchase the stock with a "margin of safety," to protect oneself from assumptions and potential errors made in the valuation process.
Graham's stock valuation formula to calculate intrinsic value was originally shown in the 1962 edition of Security Analysis as follows:
V = EPS * (8.5 + 2g)
where:
V = intrinsic value per share (over the next 7-10 years)
EPS = earnings per share (over the trailing twelve months (TTM))
8.5 = price-to-earnings (P/E) base for a no-growth company
g = reasonably expected annual growth rate (over the next 7-10 years)
In 1974, Graham revised this formula, as published in The Intelligent Investor, to include a discount rate (aka required rate of return). This was after he concluded that the greatest contributing to stock values and prices over the past decade had been due to interest rates.
Graham's current stock valuation formula is shown below:
V = (EPS * (8.5 + 2g) * Z) / Y
where:
V = intrinsic value per share (over the next 7-10 years)
EPS = diluted earnings per share (over the trailing twelve months (TTM))
8.5 = price-to-earnings (P/E) base for a no-growth company (you can change it manually)
g = reasonably expected annual growth rate (calculated by 5-Yr EPS CAGR%) (you can change year period)
Z = average yield of XXX Bonds (4.4 is default on Graham's formula)
Y = current yield of XXX Bonds
Current bond yield values (Z and Y) are selected as an example from Turkey. You need to change it according to the country of stocks.
Buy price (BP) = Intrinsic value per share * (1 - Margin of safety %)
Margin of safety = selected 20% (you need to change it to 0, if you don’t want to use margin of safety and to see intrinsic value)
Buy price > Current market price: Consider buying the stock, as the current market price appears to be undervalued.
Buy price < Current market price: Consider selling or not buying the stock, as the current market price appears to be overvalued.
Keep in mind that this buy/sell recommendation is purely based on Graham's stock valuation formula and the current market price, and ignores all other fundamental, news, and market factors investors should examine as well before making an investment decision.
Buy price is calculated for 5 different P/E values in the script.
1. with fixed P/E
2. with current P/E
3. with forward P/E
4. with sector P/E (optional)
5. with index P/E (optional)
You can also do calculations by using different growth rate by selecting that option.
Different type of moving averages is also included in the script as an option.
TraderHouse signals RSI+QQETraderHouse signals RSI+QQE
The Relative Strength Index (RSI), developed by J. Welles Wilder, is a momentum oscillator that measures the speed and change of price movements. The RSI oscillates between zero and 100. Traditionally the RSI is considered overbought when above 70 and oversold when below 30.
The QQE (Quantitative Qualitative Estimation) indicator is based on Welles Wilder’s RSI. QQE is based on a smoothed RSI value that is plotted. The absolute value of the change in smoothed RSI values from bar to bar is calculated and averaged twice. This double-smoothed value is then multiplied by two user-specified constants to create two additional lines (FastTL and SlowTL) that are also plotted.
As a trending indicator, look for the SmoothRSI to cross above or below the 50 level. As an oscillator, much like the RSI it is based on, look for overbought or oversold conditions. Generally greater than 70 is considered overbought, while values less than 30 are considered oversold.
Divergence is another way to use QQE by looking for divergences between the QQE momentum and price momentum.
