RSI Crossover Strategy with Compounding (Monthly)Explanation of the Code:
Initial Setup:
The strategy initializes with a capital of 100,000.
Variables track the capital and the amount invested in the current trade.
RSI Calculation:
The RSI and its SMA are calculated on the monthly timeframe using request.security().
Entry and Exit Conditions:
Entry: A long position is initiated when the RSI is above its SMA and there’s no existing position. The quantity is based on available capital.
Exit: The position is closed when the RSI falls below its SMA. The capital is updated based on the net profit from the trade.
Capital Management:
After closing a trade, the capital is updated with the net profit plus the initial investment.
Plotting:
The RSI and its SMA are plotted for visualization on the chart.
A label displays the current capital.
Notes:
Test the strategy on different instruments and historical data to see how it performs.
Adjust parameters as needed for your specific trading preferences.
This script is a basic framework, and you might want to enhance it with risk management, stop-loss, or take-profit features as per your trading strategy.
Feel free to modify it further based on your needs!
Cari dalam skrip untuk "entry"
Cypher Harmonic Pattern [TradingFinder] Cypher Pattern Detector🔵 Introduction
The Cypher Pattern is one of the most accurate and advanced harmonic patterns, introduced by Darren Oglesbee. The Cypher pattern, utilizing Fibonacci ratios and geometric price analysis, helps traders identify price reversal points with high precision. This pattern consists of five key points (X, A, B, C, and D), each playing an important role in determining entry and exit points in the financial markets.
The reversal point typically occurs in the XD region, with the Fibonacci ratio ranging between 0.768 and 0.886. This zone is referred to as the Potential Reversal Zone (PRZ), where traders anticipate price changes to occur.
The Cypher harmonic pattern is popular among professional traders due to its high accuracy in identifying market trends and reversal points. The pattern appears in two forms: bullish Cypher pattern and bearish Cypher pattern.
In the bullish Cypher pattern, after a price correction, the price moves upward, while in the bearish Cypher pattern, the price moves downward after a temporary increase. These patterns help traders use technical analysis to identify strong reversal points in the PRZ and execute more optimal trades.
Bullish Cypher Pattern :
Bearish Cypher Pattern :
🔵 How to Use
The Cypher pattern is one of the most complex and precise harmonic patterns, leveraging Fibonacci ratios to help traders identify price reversals. This pattern is comprised of five key points, each playing a critical role in determining entry and exit points.
The Cypher pattern appears in two main types :
Bullish Cypher pattern : This pattern appears as an M shape on the chart and indicates a trend reversal to the upside after a price correction. Traders can prepare for buying after identifying this pattern in technical analysis.
Bearish Cypher pattern : This pattern appears as a W shape and signals the start of a downtrend after a temporary price increase. Traders can use this pattern to enter short positions.
🟣 How to Identify the Cypher Pattern on a Chart
Identifying the Cypher pattern requires precision and the use of advanced technical analysis tools. The pattern consists of four main legs, each identified using Fibonacci ratios and geometric analysis.
To spot the Cypher pattern on a chart, first, identify the five key points : X, A, B, C, and D.
XA leg : The initial move from point X to A.
AB leg : The first correction after the XA move, where the price moves to point B.
BC leg : After the correction, the price moves upwards to point C.
CD leg : The final price move that reaches point D, where a price reversal is expected.
In a bullish Cypher pattern, point D indicates the start of a new uptrend, while in a bearish Cypher pattern, point D signals the beginning of a downtrend. Correctly identifying these points helps traders determine the best time to enter a trade.
🟣 How to Trade Using the Cypher Pattern
Once the Cypher pattern is identified on the chart, traders can use it to set entry and exit points. Point D is the key point for trade entry. In the bullish Cypher pattern, the trader can enter a long position after point D forms, while in the bearish Cypher pattern, point D serves as the ideal point for entering a short position.
🟣 Entering a Buy Trade with the Bullish Cypher Pattern
In a bullish Cypher pattern, traders wait for the price to reach point D, after which they can enter a buy position. At this point, the price is expected to start rising.
🟣 Entering a Sell Trade with the Bearish Cypher Pattern
In a bearish Cypher pattern, the trader enters a sell position at point D, expecting the price to move downward after reaching this point. For additional confirmation, traders can use technical indicators such as RSI or MACD.
🟣 Risk Management in Cypher Pattern Trades
Risk management is one of the most critical aspects of any trade, and this holds true for trading the Cypher pattern. Traders should always use stop-loss orders to prevent larger losses in case the pattern fails.
In the bullish Cypher pattern, the stop-loss is usually placed slightly below point D to exit the trade if the price continues to drop.
In the bearish Cypher pattern, the stop-loss is placed above point D to limit losses if the price rises unexpectedly.
🟣 Combining the Cypher Pattern with Other Technical Tools
The Cypher pattern is a powerful tool in technical analysis, but combining it with other methods such as price action and technical indicators can improve trading accuracy.
🟣 Combining with Price Action
Traders can use price action to confirm the Cypher pattern. Candlestick patterns like reversal candlesticks can provide additional confirmation for price reversals at point D.
🟣 Using Technical Indicators
Incorporating technical indicators such as RSI and MACD can also help traders receive stronger signals for entering trades based on the Cypher pattern. These indicators help identify overbought or oversold conditions, allowing traders to make more informed decisions.
🟣 Advantages and Disadvantages of the Cypher Pattern in Technical Analysis
Advantages :
High accuracy : The Cypher pattern, using Fibonacci ratios and geometric analysis, provides high precision in identifying reversal points.
Applicable in various markets : This pattern can be used in a wide range of financial markets, including forex, stocks, and cryptocurrencies.
Disadvantages :
Rarit y: The Cypher pattern appears less frequently on charts compared to other harmonic patterns.
Complexity : Accurately identifying this pattern requires significant experience, which may be challenging for novice traders.
🔵 Setting
🟣 Logical Setting
ZigZag Pivot Period : You can adjust the period so that the harmonic patterns are adjusted according to the pivot period you want. This factor is the most important parameter in pattern recognition.
Show Valid Forma t: If this parameter is on "On" mode, only patterns will be displayed that they have exact format and no noise can be seen in them. If "Off" is, the patterns displayed that maybe are noisy and do not exactly correspond to the original pattern.
Show Formation Last Pivot Confirm : if Turned on, you can see this ability of patterns when their last pivot is formed. If this feature is off, it will see the patterns as soon as they are formed. The advantage of this option being clear is less formation of fielded patterns, and it is accompanied by the latest pattern seeing and a sharp reduction in reward to risk.
Period of Formation Last Pivot : Using this parameter you can determine that the last pivot is based on Pivot period.
🟣 Genaral Setting
Show : Enter "On" to display the template and "Off" to not display the template.
Color : Enter the desired color to draw the pattern in this parameter.
LineWidth : You can enter the number 1 or numbers higher than one to adjust the thickness of the drawing lines. This number must be an integer and increases with increasing thickness.
LabelSize : You can adjust the size of the labels by using the "size.auto", "size.tiny", "size.smal", "size.normal", "size.large" or "size.huge" entries.
🟣 Alert Setting
Alert : 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 Cypher harmonic pattern is one of the most powerful and accurate patterns used in technical analysis. Its high precision in identifying price reversal points, particularly within the Potential Reversal Zone (PRZ), has made it a popular tool among professional traders. The PRZ, located between the Fibonacci ratios of 0.768 and 0.886 in the XD region, offers traders a clear indication of where price reversals are likely to occur.
However, to use this pattern successfully, traders must employ proper risk management and combine it with supplementary tools like technical indicators and price action. By understanding how to utilize the PRZ, traders can enhance the accuracy of their trade entries and exits.
Ultimately, the Cypher pattern, when used in conjunction with the PRZ, helps traders make more precise decisions in the financial markets, leading to more successful and well-informed trades.
M & W Checklistindicator to Validate & Grade M & W Patterns.
Indicator Inputs
Table Color Palette
• Position Valid : Positions the Valid Trade table on the chart.
• Position Grade : Positions the Grade table on the chart, hover over the Column 1 Row 1 for a description of the bands.
• Size: Text size for all tables.
• Text Color : Sets text color.
• Border Color : Sets the table border color for all tables.
• Background Color : Sets table backgroud color for all tables.
Valid Trade Table
Checkboxes to indicate if the trade is valid. Fail is displayed if unchecked, Pass if checked.
Grade Table
• S/R Level 1: distance between neckline and 1st resistance area in % of the total distance between neckline and take profit. This is not for road blocks but pivot points etc before the initial run up/down in price. I have this set to 30% , this means that if there is a pivot point between the neckline and 30% of the TP level I weight it negatively.
• S/R Level 2: distance between neckline and 1st resistance area in % of the total distance between neckline and take profit. This is not for road blocks but pivot points etc before the initial run up/down in price. I have this set to 50% , this means that if there is a pivot point between the neckline and 50% of the TP level 2 weight it negatively but less so than level 1.
• S/R Level 3: distance between neckline and 1st resistance area in % of the total distance between neckline and take profit. This is not for road blocks but pivot points etc before the initial run up/down in price. I have this set to 70% , this means that if there is a pivot point between the neckline and 70% of the TP level 3 weight it negatively but less so than level 1 & level 2.
• Checkboxes are self explanatory, they are binary options, all are weighted negatively if checked and are weighted positively if unchecked. Divergence values for weighting are neutral if unckecked & weighted positively if checked.
• The select options are neutral weighting if set to neutral , if set to For its weighted positive and set to Against weighted negatively.
Technical Specification of the Scoring and Band System
Overview
The scoring system is designed to evaluate a set of technical trade conditions, assigning weights to various criteria that influence the quality of the trade. The system calculates a total score based on both positive and negative conditions. Based on the final score, the system assigns a grade or band (A, B, or C) for positive scores, and a "Negative" label for negative scores.
Scoring System
The system calculates the score by evaluating a set of 12 conditions (gradeCondition1 to gradeCondition12). These conditions are manually input by the user via checkboxes or dropdowns in a technical indicator (written in Pine Script for TradingView). The score weights vary according to the relative importance of each condition.
Condition Breakdown and Weighting:
1. Divergences (GradeCondition1 & GradeCondition2):
◦ 1H Divergence: +5 points if condition is true.
◦ 4H Divergence: +10 points if condition is true (stronger weight than 1H).
2. Support/Resistance at Neckline (GradeCondition3):
◦ Negative if present: -15 points if true (carries significant negative weight).
3. RB near Entry (GradeCondition4):
◦ Very Negative: -20 points if true (this is a critical negative condition).
4. RB can Manage (GradeCondition5):
◦ Slightly Negative: -5 points if true.
5. Institutional Value Zones (GradeCondition6 to GradeCondition8):
◦ For the trade: +5 points.
◦ Against the trade: -5 points.
◦ Neutral: 0 points.
6. S/R between Neckline & Targets (GradeCondition9 to GradeCondition11):
◦ Level 1: -10 points if true, +7 points if false.
◦ Level 2: -7 points if true, +7 points if false.
◦ Level 3: -5 points if true, +7 points if false.
◦ Use fib tool or Gann Box to measure any S/R levels setup according to your preferences.
7. News Timing (GradeCondition12):
◦ News within 3 hours: -20 points if true (strong negative factor).
◦ No upcoming news: +10 points if false.
Scoring Calculation Formula:
totalScore = score1 + score2 + score3 + score4 + score5 + score6 + score7 + score8 + score9 + score10 + score11 + score12
Where:
• score1 to score12 represent the points derived from the conditions described above.
Coloring and Visual Feedback:
• Positive Scores: Displayed in green.
• Negative Scores: Displayed in red.
Band System
The Band System classifies the total score into different grades, depending on the final value of totalScore. This classification provides an intuitive ranking for trades, helping users quickly assess trade quality.
Band Classification:
• Band A: If the totalScore is 41 or more.
◦ Represents a highly favorable trade setup.
• Band B: If the totalScore is between 21 and 40.
◦ Represents a favorable trade setup with good potential.
• Band C: If the totalScore is between 1 and 20.
◦ Represents a trade setup that is acceptable but may have risks.
• Negative: If the totalScore is 0 or less.
◦ Represents a poor trade setup with significant risks or unfavorable conditions.
Band Calculation Logic (in Pine Script):
var string grade = ""
if (totalScore >= 41)
grade := "Band A"
else if (totalScore >= 21)
grade := "Band B"
else if (totalScore >= 1)
grade := "Band C"
else
grade := "Negative"
Technical Key Points:
• Highly Negative Conditions:
◦ The system penalizes certain conditions more heavily, especially those that suggest significant risks (e.g., News in less than 3 hours, RB near Entry).
• Positive Trade Conditions:
◦ Divergences, Institutional Value Zones in favor of the trade, and lack of significant nearby resistance all contribute positively to the score.
• Flexible System:
◦ The system can be adapted or fine-tuned by adjusting the weights of individual conditions according to trading preferences.
Use Case Example:
• If a trade has 1H and 4H Divergence, RB near Entry (negative), and no upcoming news:
◦ 1H Divergence: +5 points.
◦ 4H Divergence: +10 points.
◦ RB near Entry: -20 points.
◦ No news: +10 points.
◦ Total Score: 5 + 10 - 20 + 10 = 5 → Band C.
This modular and flexible scoring system allows traders to systematically evaluate trades and quickly gauge the trade's potential based on technical indicators
Summary:
Maximum Score: 61
Minimum Score: -97
These are the bounds of the score range based on the current logic of the script.
Super IndicatorOverview of the Combined Indicator
This combined indicator leverages three major technical analysis tools:
Bollinger Bands
Linear Regression Channels
Scalping Strategy Indicators (RSI, MACD, SMA)
Each of these tools provides unique insights into market conditions, and their integration offers a comprehensive view of price movements, trends, and potential trading signals.
1. Bollinger Bands
Purpose:
Bollinger Bands are used to measure market volatility and identify overbought or oversold conditions.
Components:
Basis (Middle Band): Typically a 20-period Simple Moving Average (SMA).
Upper Band: Basis + (2 * Standard Deviation).
Lower Band: Basis - (2 * Standard Deviation).
Why They Complement:
Bollinger Bands expand and contract based on market volatility. When the bands are narrow, it indicates low volatility and potential for a significant move. Wide bands indicate high volatility. This helps traders gauge the strength of market moves and potential reversals.
2. Linear Regression Channels
Purpose:
Linear Regression Channels identify the overall trend direction and measure deviation from the mean price over a specific period.
Components:
Middle Line (Linear Regression Line): The line of best fit through the price data over a specified period.
Upper and Lower Lines: Channels created by adding/subtracting a multiple of the standard deviation or another deviation measure from the regression line.
Why They Complement:
Linear Regression Channels provide a clear visual representation of the trend direction and the range within which prices typically fluctuate. This can help traders identify trend continuations and reversals, making it easier to spot entry and exit points.
3. Scalping Strategy Indicators
Purpose:
The RSI, MACD, and SMA are used to generate short-term buy and sell signals, which are essential for scalping strategies aimed at capturing quick profits from small price movements.
Components:
RSI (Relative Strength Index): Measures the speed and change of price movements, typically over 14 periods. It helps identify overbought and oversold conditions.
MACD (Moving Average Convergence Divergence): Consists of the MACD line, Signal line, and histogram. It helps identify changes in the strength, direction, momentum, and duration of a trend.
SMA (Simple Moving Average): The average price over a specified period, used to smooth out price data and identify trends.
Why They Complement:
These indicators provide short-term signals that can confirm or refute the signals given by Bollinger Bands and Linear Regression Channels. For example, a buy signal might be more reliable if the price is near the lower Bollinger Band and the MACD crosses above its signal line.
How They Work Together
Scenario 1: Confirming Trend Continuations
Bollinger Bands: Price staying near the upper band suggests a strong uptrend.
Linear Regression Channels: Price staying above the middle line confirms the uptrend.
5-Minute Scalping Strategy: RSI not in overbought territory, and MACD showing bullish momentum confirms continuation.
Scenario 2: Identifying Reversals
Bollinger Bands: Price touching or moving outside the lower band suggests oversold conditions.
Linear Regression Channels: Price at the lower channel line indicates potential support.
5-Minute Scalping Strategy: RSI in oversold territory, and MACD showing a bullish crossover indicates a reversal.
Scenario 3: Volatility Breakouts
Bollinger Bands: Bands contracting indicates low volatility and potential breakout.
Linear Regression Channels: Price moving away from the middle line signals potential breakout direction.
Scalping Strategy: MACD and RSI confirming the breakout direction for entry.
Input Parameters:
Define settings for Bollinger Bands, Linear Regression Channels, and the scalping strategy.
Allow users to customize lengths, multipliers, and colors.
Bollinger Bands Calculation:
Calculate the basis (SMA) and standard deviation.
Derive the upper and lower bands from the basis and standard deviation.
Linear Regression Channel Calculation:
Compute the slope, average, and intercept of the linear regression line.
Calculate deviations to plot upper and lower channel lines.
5-Minute Scalping Strategy:
Calculate RSI, MACD, and SMA for short-term trend analysis.
Define buy and sell conditions based on these indicators.
Plotting and Alerts:
Plot Bollinger Bands and Linear Regression Channels on the chart.
Plot buy and sell signals with shapes.
Set alerts for key conditions like exiting the regression channel bounds and trend switches.
Conclusion
By combining Bollinger Bands, Linear Regression Channels, and a 5-minute scalping strategy, this indicator offers a robust tool for traders. Bollinger Bands provide volatility insights, Linear Regression Channels highlight trend direction and potential reversals, and the scalping strategy offers precise entry and exit points. Together, these tools can enhance a trader's ability to make informed decisions in various market conditions.
ACD Indicator [TradingFinder] M Fisher Pivots Methodology Signal🔵 Introduction
The book "The Logical Trader" begins with a comprehensive review of the ACD Methodology principles, which include identifying specific price points related to the opening range.
This method allows you to set reference points for trading and use points "A" and "C" for trade entry. You will also learn about the "Pivot Range" and how to combine them with the ACD method to maximize position size and minimize risk.
In this indicator, the strategy is implemented to make it easier to use.
🔵 How to Use
The "ACD" strategy can be applied to various markets such as stocks, commodities, or forex, providing buy and sell signals that allow you to set your price targets and stop losses.
This strategy is based on the assumption that the opening range of trades is statistically significant each day, meaning the initial market fluctuations influence the market until the end of the day.
The ACD trading strategy is known as a breakout strategy and performs best in volatile or strongly trending markets, such as crude oil and stocks.
Some of the rules for using the ACD strategy include the following :
Consider points A and C as reference points and continuously pay attention to these points during trades. These points serve as entry and exit points for trades.
Examine daily and multi-day pivot ranges to analyze market trends. If the price is above the pivots, the trend is upward, and if below the pivots, the trend is downward.
Trading with the ACD strategy in forex is possible using the ACD indicator. This indicator is a technical tool used to measure the balance between supply and demand in the market. By analyzing trading volume and price, this indicator helps traders identify trend strength and suitable entry and exit points.
To use the ACD indicator, consider the following :
Identifying strong trends: The ACD indicator can help you identify strong and stable trends in the market.
Determining entry and exit points: ACD provides buy and sell signals to enter or exit trades at the best possible time.
Bullish Setup :
When the "A up" line is broken, it is advisable to wait for some time to ensure that this is not a "Fake Breakout" and that the price stabilizes above this line.
After entering the trade, the best stop loss you can choose is below the "A down" line. However, it is recommended to test this in backtests to achieve the best results. The suitable reward-to-risk ratio for this strategy is 1, which should also be backtested.
Bearish Setup :
When the "A down" line is broken, it is advisable to wait for some time to ensure that this is not a "Fake Breakout" and that the price stabilizes below this line.
After entering the trade, the best stop loss you can choose is above the "A up" line. However, it is recommended to test this in backtests to achieve the best results. The suitable reward-to-risk ratio for this strategy is 1, which should also be backtested.
🔵 Setting
NDay Pivot Range Period : Using this entry you can specify the number of days to calculate NDay Pivot Range.
Show Daily Pivot Range : Set the Daily Pivot color and displayed or not.
Show NDay Pivot Range : Set the NDay Pivot color and displayed or not.
ATR Period Levels : Determining the period of the ATR indicator, which is used to determine the A and C levels.
Show Tokyo ACD Setup : Set the Tokyo ACD Setup color and displayed or not.
Tokyo Opening Range Time : The amount of time taken to determine the opening range. You can set this number between 5 and 60 minutes.
Tokyo Session : Market start and end time.
A Level Multiplier : The coefficient that is multiplied by ATR to determine the distance of line A up and A down.
C Level Multiplier : The coefficient that is multiplied by ATR to determine the distance of line C up and C down.
The same settings exist for the London and New York sessions.
Enhanced Forex IndicatorDescription of the "Enhanced Forex Indicator"
The "Enhanced Forex Indicator" is designed for traders who want a comprehensive technical analysis tool on the TradingView platform. This script integrates Exponential Moving Averages (EMAs), support and resistance zones, and candlestick pattern recognition to provide actionable trading signals, particularly useful for Forex and other financial markets. The script is suitable for intraday trading and swing trading.
Components of the Indicator
Exponential Moving Averages (EMAs):
Short EMA (Blue Line): Faster responding average, good for identifying recent trend changes.
Long EMA (Red Line): Slower moving average, helps in confirming longer-term trends.
Support and Resistance Zones:
Resistance Zone (Red): Area where potential selling pressure could overcome buying pressure, halting price increases temporarily or reversing them.
Support Zone (Green): Area where potential buying pressure could overcome selling pressure, supporting prices and preventing them from falling further.
Candlestick Patterns:
Bullish Engulfing Pattern (Green Triangle Up 'BE'): Suggests a potential upward reversal or start of a bullish trend.
Bearish Engulfing Pattern (Red Triangle Down 'BE'): Indicates a potential downward reversal or start of a bearish trend.
Buy/Sell Signals:
Buy Signal (Green Label 'BUY'): Triggered when the price is above both EMAs and a bullish engulfing pattern is detected.
Sell Signal (Red Label 'SELL'): Triggered when the price is below both EMAs and a bearish engulfing pattern is detected.
Trading Setup:
Entry: Consider entering a buy position when the 'BUY' signal appears, indicating bullish conditions. Enter a sell position when the 'SELL' signal appears, indicating bearish conditions.
Exit: Look for closing signals opposite your entry or use predefined take profit and stop loss levels. For instance, exit a buy position on a 'SELL' signal or when the price drops below the support zone.
Risk Management:
Set stop losses just below the support zone for buy orders and above the resistance zone for sell orders to protect against significant losses.
Adjust position sizes according to your risk tolerance and account balance.
Considerations:
Use this indicator in conjunction with other analysis tools and fundamental data to confirm signals and strengthen your trading strategy.
Periodically backtest the strategy based on this indicator to ensure its effectiveness in current market conditions.
Optimization:
Adjust the lengths of the EMAs and the buffer size of the support and resistance zones to better fit the asset's volatility and your trading timeframe.
Volatility Adjusted Weighted DEMA [BackQuant]Volatility Adjusted Weighted DEMA
The Volatility Adjusted Weighted Double Exponential Moving Average (VAWDEMA) by BackQuant is a sophisticated technical analysis tool designed for traders seeking to integrate volatility into their moving average calculations. This innovative indicator adjusts the weighting of the Double Exponential Moving Average (DEMA) according to recent volatility levels, offering a more dynamic and responsive measure of market trends.
Primarily, the single Moving average is very noisy, but can be used in the context of strategy development, where as the crossover, is best used in the context of defining a trading zone/ macro uptrend on higher timeframes.
Why Volatility Adjustment is Beneficial
Volatility is a fundamental aspect of financial markets, reflecting the intensity of price changes. A volatility adjustment in moving averages is beneficial because it allows the indicator to adapt more quickly during periods of high volatility, providing signals that are more aligned with the current market conditions. This makes the VAWDEMA a versatile tool for identifying trend strength and potential reversal points in more volatile markets.
Understanding DEMA and Its Advantages
DEMA is an indicator that aims to reduce the lag associated with traditional moving averages by applying a double smoothing process. The primary benefit of DEMA is its sensitivity and quicker response to price changes, making it an excellent tool for trend following and momentum trading. Incorporating DEMA into your analysis can help capture trends earlier than with simple moving averages.
The Power of Combining Volatility Adjustment with DEMA
By adjusting the weight of the DEMA based on volatility, the VAWDEMA becomes a powerful hybrid indicator. This combination leverages the quick responsiveness of DEMA while dynamically adjusting its sensitivity based on current market volatility. This results in a moving average that is both swift and adaptive, capable of providing more relevant signals for entering and exiting trades.
Core Logic Behind VAWDEMA
The core logic of the VAWDEMA involves calculating the DEMA for a specified period and then adjusting its weighting based on a volatility measure, such as the average true range (ATR) or standard deviation of price changes. This results in a weighted DEMA that reflects both the direction and the volatility of the market, offering insights into potential trend continuations or reversals.
Utilizing the Crossover in a Trading System
The VAWDEMA crossover occurs when two VAWDEMAs of different lengths cross, signaling potential bullish or bearish market conditions. In a trading system, a crossover can be used as a trigger for entry or exit points:
Bullish Signal: When a shorter-period VAWDEMA crosses above a longer-period VAWDEMA, it may indicate an uptrend, suggesting a potential entry point for a long position.
Bearish Signal: Conversely, when a shorter-period VAWDEMA crosses below a longer-period VAWDEMA, it might signal a downtrend, indicating a possible exit point or a short entry.
Incorporating VAWDEMA crossovers into a trading strategy can enhance decision-making by providing timely and adaptive signals that account for both trend direction and market volatility. Traders should combine these signals with other forms of analysis and risk management techniques to develop a well-rounded trading strategy.
Alert Conditions For Trading
alertcondition(vwdema>vwdema , title="VWDEMA Long", message="VWDEMA Long - {{ticker}} - {{interval}}")
alertcondition(vwdema
Nightrangers IndicatorDescription
This indicator combines three EMA's, Ichimoku Cloud, RSI and MACD. By combining and modifying their use case this turns into an extremely powerful and accessible indicator for finding long and short position entries, below is a description of how to use this indicator, and what makes it different.
Primary Use case
The three EMA's would be the initial indicators you would be looking at, they are based on the 7d, 25d and 200d MA - Used on their own, they would be worthless, and this is where the Ichimoku Cloud comes into it, I have removed all other aspects of the Ichimoku Cloud and only kept the baseline, combine this with the three MA's and we have a very powerful indicator for finding Long entries, that is used uniquely in a way to which the Ichimoku Cloud is not originally meant to be used for.
An early indication of a LONG entry would be when the 7d MA crosses above the Ichimoku Baseline, through this early indicator, you are able to watch and monitor the chart, you would be waiting to see if the 25d MA then also crosses above the Ichimoku Baseline, This would be the second important indication of a long entry. The 200d MA helps here when making decisions on where to set your own personal take profits - If the Ichimoku baseline, and the MA's are below the 200d MA, you would be expecting a bounce point here, or heavy resistance so the long entry could be over a shorter period, than that if it was above the 200d MA, which is why it is included here, to help make a better informed choice.
The latter is reversed for finding short positions, and entries. This indicator is completely reliant on each other to find the best possible entry/exit by complementing each other, and by using the Ichimoku Baseline on it's own, and not as the Ichimoku Cloud is intended.
Just using these though, is not enough, which is why the RSI and MACD are also combined, once the conditions are met above, You may find that there can be false positives for entries, and this is where the RSI has multiple use cases within this script.
Firstly the backdrop colour will change based on whether the chart is in an uptrend or downtrend, This is a visual indicator provided to work simultaneaously on the chart itself to help identification of entries/exits easier to identify in conjunction with the above.
Secondly, It is used to display in the top right, The current Trend in a text format, as well as if the current chart is in one of three phases, these are Overbrought, Oversold and accumulation.
And finally it will display the current RSI Value on the last candle in a clear to see blue Label, This helps with the visual accessible side, to help you make a more informed choice depending on your own personal tolerance.
This ties into the above Indicators, by combining the information, you would not be looking to take a long, if for example, the RSI showed it was over-brought, and in a downtrend, even if the MA's had crossed above the Baseline, as this would most likely be a fakeout.
However if the Indicators above, showed a potential long, and the backdrop had flipped green, indicating an uptrend, and it was in an accumulation phase, you would consider this position. and this is where the MACD comes into play.
You would use the MACD to see whether or not the Signal line has crossed over the MACD line, and vice versa - However this script uses it to simplify and portray current market sentiment, and visually display by reducing clutter on screen, and making it more accessible.
It is designed to portray an easy to read and understand visual indicator by displaying in the top right simply as Bullish or Bearish, with markers above the candles ( "M" and "MX" ).
The M indicator is to show where the MACD Crosses above the Signal, and if aligned with all the other indicators within the script, shows a very strong confirmation for a buying opportunity, and vice versa for the "MX" indicator if aligned with the other indicators in reverse, provides a very strong confirmation for opening a short position or for selling.
Secondary Use case
By combining the indicators above, the secondary conditions you would be looking for, If you opened a LONG position, would be knowing when to sell, On top of what has been described above already regarding this, you would be looking to start taking profits, when the 7d MA crosses above or across the candles, and looking to close the position, when the 25d MA also crosses above the candles, and respectively, in reverse for closing short positions. This is shown across the charts to be extremely useful, however, combine this with the other indicators, portrayed in an easy to use and understand visual representation, you are now able to make more informed decisions, on whether to close a position or not.
How is it different and not just a mash up
I have combined these indicators to make the world of trading more accessible for everyone regardless of circumstances, by creating an easy to understand visual representation, keeping colours vibrant and easy to stand out, with clear and simple to read text indications. So whether you are a seasoned trader, or just starting out, you can make more informed choices, without the need of learning how to use multiple different indicators, and learning how to combine them all, or if you have difficulties learning, this indicator also simplifies a lot of the more technical intricacies, by still allowing you to make a more informed choice.
BabyShark VWAP Strategy What the code does:
This Pine Script implements a trading strategy based on two indicators: Volume Weighted Average Price (VWAP) and On Balance Volume (OBV) Relative Strength Index (RSI). The strategy aims to identify potential buy and sell signals based on deviations from VWAP and OBV RSI crossing certain threshold levels.
How it does it:
**VWAP Calculation**: The script calculates the VWAP using either standard deviation or average deviation over a specified length. It then plots the VWAP and its upper and lower deviation bands.
**OBV RSI Calculation**: It computes the OBV and then calculates the RSI using the cumulative changes in OBV. The RSI is plotted and compared against predefined levels.
**Table Visibility and Occurrence Counting**: It allows the user to display a table showing the number of occurrences where the price is above Upper Dev 2, below Lower Dev 2, crosses above a higher RSI level, or crosses below a lower RSI level.
**Entries**: Long and short entry conditions are defined based on the position of the price relative to the VWAP deviation bands and the color of the OBV RSI. Entries are made when specific conditions are met, and there hasn't been a recent entry.
**Exit Conditions**: The script includes stop-loss and take-profit mechanisms. It exits positions based on price crossing the VWAP or a certain percentage, and it prevents further trading after a certain number of consecutive losses.
What traders can use it for:
**Trend Identification**: Traders can use the VWAP and its deviation bands to identify potential trend reversals or continuations.
**Volume Confirmation**: The inclusion of OBV RSI provides confirmation of price movements based on volume changes.
**Entry and Exit Signals**: The script generates buy and sell signals based on the specified conditions, allowing traders to enter and exit positions with defined stop-loss and take-profit levels.
**Statistical Analysis**: The visibility of occurrence counts in the table allows traders to perform statistical analysis on the frequency of price movements relative to the VWAP and OBV RSI levels.
Volatility Visualizer by Oddbeaker LLCUse this to determine if a crypto pair has volatility suitable for your Oddbeaker Synthetic Miner. Draws entry/exit lines over the candles.
"Show me every place on the chart where I could have made X percent gains in Y days or less."
Inputs :
Percent Gain : Minimum percent gains to show on the chart.
Scan Bars : Maximum number of bars allowed to reach the profit target.
Notes :
Lines drawn on the chart indicate the entry and exit times and prices to reach the exact profit target.
The indicator only uses the low price of each candle to determine entry. It does not show every possible entry point.
When counting lines, count any group of lines that cross each other as one. Also, count any group of lines that do not cross but overlap in price over the same time period as one.
Tips :
For best results, set Percent Gain to double the amount of the sum of Min Profit and Min Stash on your Synth Miner. Example: If you have minProfit=5 and minStash=5, 5+5=10, so percentGain should be 20 on the chart.
Use a daily chart and set Scan Bars to 7 or less on highly volatile pairs.
Look for charts with the highest number of lines that don't overlap.
Use this indicator combined with the Synthetic Mining Channel for best results.
Intraday FIB ScalpingThe Intraday Fibonacci Levels Indicator is a powerful tool designed to enhance trading decisions in intraday markets. Leveraging the dynamic nature of Fibonacci retracement levels, this indicator utilizes the high and low prices observed within the first 15 minutes of the trading session to plot key levels and establish potential entry and exit zones.
Key Features:
Automatic Calculation: The indicator swiftly calculates Fibonacci retracement levels based on the highest high and lowest low recorded during the initial 15 minutes of the trading day. This ensures a quick and accurate representation of potential support and resistance levels.
Zone Marking for Precision: The indicator marks specific zones on the chart, providing traders with clear visual cues for potential entry and exit points. These zones are strategically aligned with Fibonacci levels, offering a systematic approach to decision-making.
User-Friendly Interface: With a user-friendly interface, the Intraday Fibonacci Levels Indicator is suitable for both novice and experienced traders. The intuitive design allows for easy interpretation of signals and levels.
By harnessing the power of Fibonacci retracement levels and incorporating them into an intraday context, this indicator empowers traders with a systematic and data-driven approach to decision-making. Whether identifying entry points, setting stop losses, or planning exit strategies, the Intraday Fibonacci Levels Indicator serves as a valuable ally in navigating the complexities of intraday trading.
How to Trade using these Levels?
With this indicator, you can see all the levels between whole number and its corresponding 0.272 were highlighted. That is where we need to look for intraday trade entry. If any of the level broken on either side and the bar closes below ore above the highlighted area, we should enter the trade in that direction with immediate next FIB level as TP1 and subsequent level as TP2. And, an opposite directional close above or below the highlighted level will be considered as stop loss exit.
We prefer to trade in 3 minutes or 5 minutes timeframe for intraday trading.
How we plot the levels?
We are incorporating ORB into Fibonacci to plot intraday trading levels. We use high and low of first 15 minutes candle of each new trading session to arrive the levels for that session.
When market is trading above or below initially plotted levels, user can extend the levels by enabling extentions provided in user settings
The Flash-Strategy with Minervini Stage Analysis QualifierThe Flash-Strategy (Momentum-RSI, EMA-crossover, ATR) with Minervini Stage Analysis Qualifier
Introduction
Welcome to a comprehensive guide on a cutting-edge trading strategy I've developed, designed for the modern trader seeking an edge in today's dynamic markets. This strategy, which I've honed through my years of experience in the trading arena, stands out for its unique blend of technical analysis and market intuition, tailored specifically for use on the TradingView platform.
As a trader with a deep passion for the financial markets, my journey began several years ago, driven by a relentless pursuit of a trading methodology that is both effective and adaptable. My background in trading spans various market conditions and asset classes, providing me with a rich tapestry of experiences from which to draw. This strategy is the culmination of that journey, embodying the lessons learned and insights gained along the way.
The cornerstone of this strategy lies in its ability to generate precise long signals in a Stage 2 uptrend and equally accurate short signals in a Stage 4 downtrend. This approach is rooted in the principles of trend following and momentum trading, harnessing the power of key indicators such as the Momentum-RSI, EMA Crossover, and Average True Range (ATR). What sets this strategy apart is its meticulous design, which allows it to adapt to the ever-changing market conditions, providing traders with a robust tool for navigating both bullish and bearish scenarios.
This strategy was born out of a desire to create a trading system that is not only highly effective in identifying potential trade setups but also straightforward enough to be implemented by traders of varying skill levels. It's a reflection of my belief that successful trading hinges on clarity, precision, and disciplined execution. Whether you are a seasoned trader or just beginning your journey, this guide aims to provide you with a comprehensive understanding of how to harness the full potential of this strategy in your trading endeavors.
In the following sections, we will delve deeper into the mechanics of the strategy, its implementation, and how to make the most out of its features. Join me as we explore the nuances of a strategy that is designed to elevate your trading to the next level.
Stage-Specific Signal Generation
A distinctive feature of this trading strategy is its focus on generating long signals exclusively during Stage 2 uptrends and short signals during Stage 4 downtrends. This approach is based on the widely recognized market cycle theory, which divides the market into four stages: Stage 1 (accumulation), Stage 2 (uptrend), Stage 3 (distribution), and Stage 4 (downtrend). By aligning the signal generation with these specific stages, the strategy aims to capitalize on the most dynamic and clear-cut market movements, thereby enhancing the potential for profitable trades.
1. Long Signals in Stage 2 Uptrends
• Characteristics of Stage 2: Stage 2 is characterized by a strong uptrend, where prices are consistently rising. This stage typically follows a period of accumulation (Stage 1) and is marked by increased investor interest and bullish sentiment in the market.
• Criteria for Long Signal Generation: Long signals are generated during this stage when the technical indicators align with the characteristics of a Stage 2 uptrend.
• Rationale for Stage-Specific Signals: By focusing on Stage 2 for long trades, the strategy seeks to enter positions during the phase of strong upward momentum, thus riding the wave of rising prices and investor optimism. This stage-specific approach minimizes exposure to less predictable market phases, like the consolidation in Stage 1 or the indecision in Stage 3.
2. Short Signals in Stage 4 Downtrends
• Characteristics of Stage 4: Stage 4 is identified by a pronounced downtrend, with declining prices indicating prevailing bearish sentiment. This stage typically follows the distribution phase (Stage 3) and is characterized by increasing selling pressure.
• Criteria for Short Signal Generation: Short signals are generated in this stage when the indicators reflect a strong bearish trend.
• Rationale for Stage-Specific Signals: Targeting Stage 4 for shorting capitalizes on the market's downward momentum. This tactic aligns with the natural market cycle, allowing traders to exploit the downward price movements effectively. By doing so, the strategy avoids the potential pitfalls of shorting during the early or late stages of the market cycle, where trends are less defined and more susceptible to reversals.
In conclusion, the strategy’s emphasis on stage-specific signal generation is a testament to its sophisticated understanding of market dynamics. By tailoring the long and short signals to Stages 2 and 4, respectively, it leverages the most compelling phases of the market cycle, offering traders a clear and structured approach to aligning their trades with dominant market trends.
Strategy Overview
At the heart of this trading strategy is a philosophy centered around capturing market momentum and trend efficiency. The core objective is to identify and capitalize on clear uptrends and downtrends, thereby allowing traders to position themselves in sync with the market's prevailing direction. This approach is grounded in the belief that aligning trades with these dominant market forces can lead to more consistent and profitable outcomes.
The strategy is built on three foundational components, each playing a critical role in the decision-making process:
1. Momentum-RSI (Relative Strength Index): The Momentum-RSI is a pivotal element of this strategy. It's an enhanced version of the traditional RSI, fine-tuned to better capture the strength and velocity of market trends. By measuring the speed and change of price movements, the Momentum-RSI provides invaluable insights into whether a market is potentially overbought or oversold, suggesting possible entry and exit points. This indicator is especially effective in filtering out noise and focusing on substantial market moves.
2. EMA (Exponential Moving Average) Crossover: The EMA Crossover is a crucial component for trend identification. This strategy employs two EMAs with different timeframes to determine the market trend. When the shorter-term EMA crosses above the longer-term EMA, it signals an emerging uptrend, suggesting a potential long entry. Conversely, a crossover below indicates a possible downtrend, hinting at a short entry opportunity. This simple yet powerful tool is key in confirming trend directions and timing market entries.
3. ATR (Average True Range): The ATR is instrumental in assessing market volatility. This indicator helps in understanding the average range of price movements over a given period, thus providing a sense of how much a market might move on a typical day. In this strategy, the ATR is used to adjust stop-loss levels and to gauge the potential risk and reward of trades. It allows for more informed decisions by aligning trade management techniques with the current volatility conditions.
The synergy of these three components – the Momentum-RSI, EMA Crossover, and ATR – creates a robust framework for this trading strategy. By combining momentum analysis, trend identification, and volatility assessment, the strategy offers a comprehensive approach to navigating the markets. Whether it's capturing a strong trend in its early stages or identifying a potential reversal, this strategy aims to provide traders with the tools and insights needed to make well-informed, strategically sound trading decisions.
Detailed Component Analysis
The efficacy of this trading strategy hinges on the synergistic functioning of its three key components: the Momentum-RSI, EMA Crossover, and Average True Range (ATR). Each component brings a unique perspective to the strategy, contributing to a well-rounded approach to market analysis.
1. Momentum-RSI (Relative Strength Index)
• Definition and Function: The Momentum-RSI is a modified version of the classic Relative Strength Index. While the traditional RSI measures the velocity and magnitude of directional price movements, the Momentum-RSI amplifies aspects that reflect trend strength and momentum.
• Significance in Identifying Trend Strength: This indicator excels in identifying the strength behind a market's move. A high Momentum-RSI value typically indicates strong bullish momentum, suggesting the potential continuation of an uptrend. Conversely, a low Momentum-RSI value signals strong bearish momentum, possibly indicative of an ongoing downtrend.
• Application in Strategy: In this strategy, the Momentum-RSI is used to gauge the underlying strength of market trends. It helps in filtering out minor fluctuations and focusing on significant movements, providing a clearer picture of the market's true momentum.
2. EMA (Exponential Moving Average) Crossover
• Definition and Function: The EMA Crossover component utilizes two exponential moving averages of different timeframes. Unlike simple moving averages, EMAs give more weight to recent prices, making them more responsive to new information.
• Contribution to Market Direction: The interaction between the short-term and long-term EMAs is key to determining market direction. A crossover of the shorter EMA above the longer EMA is an indicator of an emerging uptrend, while a crossover below signals a developing downtrend.
• Application in Strategy: The EMA Crossover serves as a trend confirmation tool. It provides a clear, visual representation of the market's direction, aiding in the decision-making process for entering long or short positions. This component ensures that trades are aligned with the prevailing market trend, a crucial factor for the success of the strategy.
3. ATR (Average True Range)
• Definition and Function: The ATR is an indicator that measures market volatility by calculating the average range between the high and low prices over a specified period.
• Role in Assessing Market Volatility: The ATR provides insights into the typical market movement within a given timeframe, offering a measure of the market's volatility. Higher ATR values indicate increased volatility, while lower values suggest a calmer market environment.
• Application in Strategy: Within this strategy, the ATR is instrumental in tailoring risk management techniques, particularly in setting stop-loss levels. By accounting for the market's volatility, the ATR ensures that stop-loss orders are placed at levels that are neither too tight (risking premature exits) nor too loose (exposing to excessive risk).
In summary, the combination of Momentum-RSI, EMA Crossover, and ATR in this trading strategy provides a comprehensive toolkit for market analysis. The Momentum-RSI identifies the strength of market trends, the EMA Crossover confirms the market direction, and the ATR guides in risk management by assessing volatility. Together, these components form the backbone of a strategy designed to navigate the complexities of the financial markets effectively.
1. Signal Generation Process
• Combining Indicators: The strategy operates by synthesizing signals from the Momentum-RSI, EMA Crossover, and ATR indicators. Each indicator serves a specific purpose: the Momentum-RSI gauges trend momentum, the EMA Crossover identifies the trend direction, and the ATR assesses the market’s volatility.
• Criteria for Signal Validation: For a signal to be considered valid, it must meet specific criteria set by each of the three indicators. This multi-layered approach ensures that signals are not only based on one aspect of market behavior but are a result of a comprehensive analysis.
2. Conditions for Long Positions
• Uptrend Confirmation: A long position signal is generated when the shorter-term EMA crosses above the longer-term EMA, indicating an uptrend.
• Momentum-RSI Alignment: Alongside the EMA crossover, the Momentum-RSI should indicate strong bullish momentum. This is typically represented by the Momentum-RSI being at a high level, confirming the strength of the uptrend.
• ATR Consideration: The ATR is used to fine-tune the entry point and set an appropriate stop-loss level. In a low volatility scenario, as indicated by the ATR, the stop-loss can be set tighter, closer to the entry point.
3. Conditions for Short Positions
• Downtrend Confirmation: Conversely, a short position signal is indicated when the shorter-term EMA crosses below the longer-term EMA, signaling a downtrend.
• Momentum-RSI Confirmation: The Momentum-RSI should reflect strong bearish momentum, usually seen when the Momentum-RSI is at a low level. This confirms the bearish strength of the market.
• ATR Application: The ATR again plays a role in determining the stop-loss level for the short position. Higher volatility, as indicated by a higher ATR, would warrant a wider stop-loss to accommodate larger market swings.
By adhering to these mechanics, the strategy aims to ensure that each trade is entered with a high probability of success, aligning with the market’s current momentum and trend. The integration of these indicators allows for a holistic market analysis, providing traders with clear and actionable signals for both entering and exiting trades.
Customizable Parameters in the Strategy
Flexibility and adaptability are key features of this trading strategy, achieved through a range of customizable parameters. These parameters allow traders to tailor the strategy to their individual trading style, risk tolerance, and specific market conditions. By adjusting these parameters, users can fine-tune the strategy to optimize its performance and align it with their unique trading objectives. Below are the primary parameters that can be customized within the strategy:
1. Momentum-RSI Settings
• Period: The lookback period for the Momentum-RSI can be adjusted. A shorter period makes the indicator more sensitive to recent price changes, while a longer period smoothens the RSI line, offering a broader view of the momentum.
• Overbought/Oversold Thresholds: Users can set their own overbought and oversold levels, which can help in identifying extreme market conditions more precisely according to their trading approach.
2. EMA Crossover Settings
• Timeframes for EMAs: The strategy uses two EMAs with different timeframes. Traders can modify these timeframes, choosing shorter periods for a more responsive approach or longer periods for a more conservative one.
• Source Data: The choice of price data (close, open, high, low) used in calculating the EMAs can be varied depending on the trader’s preference.
3. ATR Settings
• Lookback Period: Adjusting the lookback period for the ATR impacts how the indicator measures volatility. A longer period may provide a more stable but less responsive measure, while a shorter period offers quicker but potentially more erratic readings.
• Multiplier for Stop-Loss Calculation: This parameter allows traders to set how aggressively or conservatively they want their stop-loss to be in relation to the ATR value.
Here are the standard settings:
Trading Strategy - Follow The Plan"Trading Strategy - Follow The Plan" is a TradingView indicator specifically crafted for traders dedicated to adhering to a structured approach. It emphasizes the elimination of emotional decision-making by providing clear, actionable steps. This tool allows you to articulate and visually embed your trading strategy directly onto your charts, encompassing your entry plan, exit plan, and any additional notes crucial for maintaining focus and discipline. It's designed to aid in sustaining consistency in your trading executions, ensuring that you remain steadfastly aligned with your predetermined trading methodology.
Features
1. Entry Plan: Allows traders to outline specific criteria for market entry. This could include conditions like divergences on multiple timeframes, specific pattern recognitions, or other entry triggers. The flexibility of this section caters to various trading styles and strategies.
2. Exit Plan: Dedicated to defining exit strategies, this section can include details on profit targets, stop-loss levels, or conditions for position reversal. It serves as a constant reminder of exit strategies during active trades.
3. Notes: A customizable space for traders to jot down essential rules, observations, or reminders. This section is particularly useful for reinforcing risk management practices and maintaining focus on broader trading goals.
4. Visibility Controls: Each section of the trading plan (Entry Plan, Exit Plan, Notes) can be toggled on or off, allowing traders to manage on-screen information and reduce chart clutter.
5. Layout Customization: Users can choose the placement of the trading plan on their chart, with options including Top Right, Top Left, Bottom Right, and Bottom Left. This caters to individual preferences and screen setups.
6. Appearance Customization: The indicator allows for adjustments in text and background colors, and text sizes for titles and content, enhancing readability and personal preference alignment.
DBTVLibrary "DBTV"
entry_message(password, percent, leverage, margin_mode, kis_number)
Create a entry message for POABOT
Parameters:
password (string) : (string) The password of your bot.
percent (float) : (float) The percent for entry based on your wallet balance.
leverage (int) : (int) The leverage of entry. If not set, your levereage doesn't change.
margin_mode (string) : (string) The margin mode for trade(only for OKX). "cross" or "isolated"
kis_number (int) : (int) The number of koreainvestment account. Default 1
Returns: (string) A json formatted string for webhook message.
VWAP with CharacterizationThis indicator is a visual representation of the VWAP (Volume Weighted Average Price), it calculates the weighted average price based on trading volume. Essentially, it provides a measure of the average price at which an asset has traded during a given period, but with a particular focus on trading volume. In our case, the indicator calculates the VWAP for the current trading symbol, using a predefined simple moving average (SMA) with a period of 14. This volume-weighted moving average offers a clearer view of the behavior of the VWAP and, of consequence of market dynamics.
One of the distinctive features of this indicator is its ability to provide a more "linear" representation of the data. This means that the data is "smoothed" to remove noise, allowing you to more easily identify the direction of the market trend. This smoother representation is especially useful because the financial market can be subject to significant fluctuations and volatility, and this indicator can help get a more stable view of the trend.
The indicator also offers a visualization of the market trend in a very intuitive way. Using an evaluation of the highs and lows of the last 10 days, determine whether the market is in an uptrend, downtrend, or no trend at all. To make this evaluation even clearer and more immediate, the indicator line is colored dynamically. When the trend is bullish, the line is blue, while in case of a bearish trend, it takes on a distinctive color, such as pink. If the trend is not defined, the line will be colored differently, for example light yellow. This coloration gives traders an immediate visual indication of the prevailing trend, allowing them to make more informed decisions regarding trading operations.
One potential strategy involves watching candles when they cross the VWAP line strongly. If, for example, a candlestick breaks above the VWAP line, we may look for retest areas near key support levels to gauge a potential long entry. In other words, we would consider that the price may have the potential to rise further after breaking above the VWAP line, and we would look to enter a long position to take advantage of this opportunity.
On the other hand, if a candlestick crosses below the VWAP line, we might consider looking for retest areas near the VWAP line itself, which now serves as potential resistance. This could indicate a possible short entry opportunity, as the price may struggle to break above the resistance represented by the VWAP line after breaking it down. In this case, we would look to take advantage of the expected continuation of the downtrend.
In both cases, the idea is to exploit significant movements across the VWAP line as signals of potential reversal or continuation of the trend. This strategy can help identify key entry points based on price behavior relative to the VWAP line.
Improved EMA & CDC Trailing Stop StrategyImproved EMA & CDC Trailing Stop Strategy
Objective: This strategy seeks to exploit potential trend reversals or continuations using Exponential Moving Averages (EMAs) and a trailing stop based on the Chande Dynamic Convergence Divergence (CDC) ATR method.
Components:
Exponential Moving Averages (EMAs):
60-period EMA (Blue Line): Faster-moving average that reacts more quickly to price changes.
90-period EMA (Red Line): Slower-moving average that provides a smoother indication of long-term price direction.
MACD Indicator:
Utilized to confirm the trend direction. When the MACD line is above its signal line, it may indicate a bullish trend. Conversely, when the MACD line is below its signal line, it may indicate a bearish trend.
CDC Trailing Stop ATR:
Used to set dynamic stop-loss levels that adjust with market volatility. This stop is based on the Average True Range (ATR) with a user-defined multiplier, providing the strategy with a flexible way to protect against adverse price movements.
Profit Targets:
Based on a multiple of the ATR, this sets an objective level at which to take profits, ensuring gains are captured while potentially still leaving room for further profitable movement.
Trading Rules:
Entry:
Long (Buy) Entry Conditions:
Price is above the 60-period EMA.
The 60-period EMA is above the 90-period EMA.
The MACD line is above its signal line.
Price is above the calculated CDC Trailing Stop ATR level.
Short (Sell) Entry Conditions:
Price is below the 60-period EMA.
The 60-period EMA is below the 90-period EMA.
The MACD line is below its signal line.
Price is below the calculated CDC Trailing Stop ATR level.
Exit:
Long (Buy) Exit Conditions:
Price reaches the predetermined profit target based on the ATR.
Price drops below the CDC Trailing Stop ATR level.
Short (Sell) Exit Conditions:
Price reaches the predetermined profit target based on the ATR.
Price rises above the CDC Trailing Stop ATR level.
Visualization:
The strategy displays the 60-period and 90-period EMAs on the chart.
The CDC Trailing Stop ATR levels for both long and short trades are also plotted for clarity.
The MACD Histogram is shown to visualize the difference between the MACD line and its signal line.
Recommendations: Before deploying this strategy, traders should backtest it across various historical data sets and market conditions. Regularly reviewing and potentially adjusting the strategy is recommended as market dynamics evolve.
Position calculator [krazke]This indicator will help you calculate your position. This will automatically calculate potential liquidation price and select leverage for your stop loss and risk size.
How to use it:
1. Select position direction. (long checkmark - selected if it's long)
2. Select entry. If you want to use custom entry price select checkmark and set value. (Current price is default entry)
3. Enter stop loss.
4. Enter risk.
5. Enter max leverage for current ticker.
P.S. Liquidation price is not 100% correct but it almost.
Candle Tick SizeHello everyone!
I dont think it exists, I couldnt find it any way I searched, maybe it is part of a bigger indicator. This is a really basic code, all it does, it shows the tick/pip size of the candles forming. You can adjust on how many candles should it show. Also because the code counts the point size of the candles from high to low, you can adjust that how many ticks are in one point, like for ES and NQ 4 ticks to a point, which is the basic setting. It helps me with entrys when I calculate the contract size so my risk/reward stays pretty much the same depending on the candle size for my entrys.
Bracket Trading VisualizerThe Bracket Trading Visualizer highlights locations in the past when a bracket trade would of won.
🔶 Purpose
Show the opportunities a trader had in the past to give a intuitive idea of how to trade the chart.
🔶 How It Works
Red color indicates the location a Short would of won.
Green color indicates the location a Long would of won.
Yellow color indicates the location a Long OR Short would of won.
Empty color indicates the location a Long OR Short would of Lost.
Empty color also indicates undecided, especially on the latest candles as the future has not been drawn yet.
🔶 What Is A Bracket Trade?
A bracket trade is when your take profit and stop loss are automatically set on entry.
Example: Take profit is set to 1%, Stop loss is set to 1%, when entering a trade the take and stop will set above and bellow the entry price by 1% each.
🔶 More Info
The default Take%/Stop% need to be increased for higher time frames as each candle moves larger distances.
The indicator crawls from left to right on each candle to check what part of that candle was a win for longs and shorts.
This Indicator updates past data based on current information, so empty areas are being filled in as new candles are created.
Because of pinescript limitations the script can only see 375 bars into the future. If a trade takes longer then 375 bars to finalize it will be empty color.
🔶 Theme Setup
It wont look as good with basic candles so set candles to "Bars" and color them white.
🔶 Experiments
Set a take profit larger then the stop loss and look at the opportunities, notice how there are Less.
Set a Stop Loss larger then the take profit and look at the opportunities, notice how there are More, including yellow overlaping.
🔶 Settings
Take %: Take Profit percent distance from the entry price
Stop %: Stop Loss percent distance from the entry price
Commission %: Commission is calculated twice for entry and exit. A 0.03% commission will increase take profit by 0.06% and decrease stop loss by 0.06%.
Calculation Bars Back: If you need to see more candles into the past increase this number, its purpose is to speed up calculation time, Higher number is slower. Also if things aren't drawing properly zoom out all the way then zoom back in.
🔶 Community
I hope you guys find this useful, if you have any questions or feature requests leave me a comment! Take care :D
Yesterday's High v.17.07Yesterday’s High Breakout it is a trading system based on the analysis of yesterday's highs, it works in trend-following mode therefore it opens a long position at the breakout of yesterday's highs even if they occur several times in one day.
There are several methods for exiting a trade, each with its own unique strategy. The first method involves setting Take-Profit and Stop-Loss percentages, while the second utilizes a trailing-stop with a specified offset value. The third method calls for a conditional exit when the candle closes below a reference EMA.
Additionally, operational filters can be applied based on the volatility of the currency pair, such as calculating the percentage change from the opening or incorporating a gap to the previous day's high levels. These filters help to anticipate or delay entry into the market, mitigating the risk of false breakouts.
In the specific case of INJ, a 12% Take-Profit and a 1.5% Stop-Loss were set, with an activated trailing-stop percentage, TRL 1 and OFF 0.5.
To postpone entry and avoid false breakouts, a 1% gap was added to the price of yesterday's highs.
Name: Yesterday's High Breakout - Trend Follower Strategy
Author: @tumiza999
Category: Trend Follower, Breakout of Yesterday's High.
Operating mode: Spot or Futures (only long).
Trade duration: Intraday.
Timeframe: 30M, 1H, 2H, 4H
Market: Crypto
Suggested usage: Short-term trading, when the market is in trend and it is showing high volatility.
Entry: When there is a breakout of Yesterday's High.
Exit: Profit target or Trailing stop, Stop loss or Crossunder EMA.
Configuration:
- Gap to anticipate or postpone the entry before or after the identified level
- Rate of Change for Entry Condition
- Take Profit, Stop Loss and Trailing Stop
- EMA length
Backtesting:
⁃ Exchange: BINANCE
⁃ Pair: INJUSDT
⁃ Timeframe: 4H
- Treshold: 1
- Gap%: 1
- SL: 1.5
- TP:12
- TRL: 1
- OFF-TRL: 0.5
⁃ Fee: 0.075%
⁃ Slippage: 1
- Initial Capital: 10000 USDT
- Position sizing: 10% of Equity
- Start : 2018-07-26 (Out Of Sample from 2022-12-23)
- Bar magnifier: on
Credits: LucF for Pine Coders (f_security function to avoid repainting using security)
Disclaimer: Risk Management is crucial, so adjust stop loss to your comfort level. A tight stop loss can help minimise potential losses. Use at your own risk.
How you or we can improve? Source code is open so share your ideas!
Leave a comment and smash the boost button!
Thanks for your attention, happy to support the TradingView community.
Buy&Sell Bullish Engulfing - The Quant Science🇺🇸
GENERAL OVERVIEW
Buy&Sell Bullish Engulfing - The Quant Science It is a Buy&Sell strategy based on the 'Bullish Engulfing' candlestick pattern. The main goal of the strategy is to achieve a consistent and sustainable return over time, with a manageable level of risk.
Bullish Engulfing
The template was developed at the top of the Indicator provided by TradingView called 'Engulfing - Bullish'.
ENTRY AND EXIT CRITERIA
Entry: A single long order is opened when the candlestick pattern is formed, and the percentage size of the order (%) is fixed by the trader through the user interface.
Exit: The long trade is closed on a percentage equity take profit-stop loss.
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PANORAMICA GENERALE
Buy&Sell Bullish Engulfing - The Quant Science è una strategia Buy&Sell basata sul candlestick pattern 'Bullish Engulfing'. L'obiettivo principale della strategia è ottenere un ritorno costante e sostenibile nel tempo, con un livello gestibile di rischio.
Bullish Engulfing
Il template è stato sviluppato al top dell' Indicatore fornito da Trading View chiamato 'Engulfing - Bullish'.
CRITERI DI ENTRATA E USCITA
Entrata: viene aperto un singolo ordine long quando si forma il candlestick pattern, la size percentuale dell'ordine (%) viene selezionato tramite l'interfaccia utente dal trader.
Uscita: la chiusura della posizione avviene unicamente tramite un take profit-stop loss percentuale calcolato sul capitale.
PSAR BBPT ZLSMA BTC 1minLong entry:
PSAR gives buy signal
BBPT prints green histogram
ZLSMA is below the price
ZLSMA has uptrend
SL is smaller than the max SL
Optional Sessions and EMA filters
Short entry
PSAR gives sell signal
BBPT prints red histogram
ZLSMA is above the price
ZLSMA has downtrend
SL is smaller than the max SL
Optional Sessions and EMA filters
SL:
Placed below ZLSMA + offset on long
Placed above ZLSMA + offset on short
TP1:
1x the SL by default
Takes no profit by default, 50% is also a good setting
TP2:
2x the SL by default
Take out all remaining position size.
If price reaches TP1, the SL is set to the entry price.
POALibrary "POA"
This library is a client script for making a webhook signal formatted string to POABOT server.
entry_message(password, percent, leverage, kis_number)
Create a entry message for POABOT
Parameters:
password : (string) The password of your bot.
percent : (float) The percent for entry based on your wallet balance.
leverage : (int) The leverage of entry. If not set, your levereage doesn't change.
kis_number : (int) The number of koreainvestment account.
Returns: (string) A json formatted string for webhook message.
close_message(password, percent, kis_number)
Create a close message for POABOT
Parameters:
password : (string) The password of your bot.
percent : (float) The percent for close based on your wallet balance.
kis_number : (int) The number of koreainvestment account.
Returns: (string) A json formatted string for webhook message.
exit_message(password, percent)
Create a exit message for POABOT
Parameters:
password : (string) The password of your bot.
percent : (float) The percent for exit based on your wallet balance.
Returns: (string) A json formatted string for webhook message.
in_trade(start_time, end_time)
Create a trade start line
Parameters:
start_time : (int) The start of time.
end_time : (int) The end of time.
Returns: (bool) Get bool for trade based on time range.
