Cumulative Buying and Selling Volume with 3 Lookback PeriodsScript Overview:
This script is designed to help traders identify market momentum by analyzing buying and selling volume. It calculates the cumulative buying and selling pressure over three different lookback periods, providing insights into whether the bulls or bears are dominating at any given time. The script does this by computing the cumulative buying and selling volume for each period and comparing them through exponential moving averages (EMA) to smooth out short-term fluctuations.
Purpose and Use:
The primary goal of this script is to highlight shifts in market sentiment based on volume dynamics. Volume is a critical component in market analysis, often signaling the strength behind price movements. By focusing on cumulative buying and selling pressure, the script gives traders an idea of whether the market is trending towards more buying or selling during specific periods. Traders can use this tool to:
Identify potential entry points when buying pressure is strong.
Recognize potential selling opportunities when selling pressure is increasing.
Detect periods of indecision when neither buying nor selling dominates.
Key Concepts:
1. Buying Volume (BV):
The buying volume is calculated based on the price range of each candle. It represents the volume allocated to the bullish side of the market:
When the close is near the high, the buying volume is higher.
Formula: BV = volume * (close - low) / (high - low).
2. Selling Volume (SV):
Similarly, selling volume is derived based on the position of the close relative to the low:
When the close is near the low, selling volume is higher.
Formula: SV = volume * (high - close) / (high - low)
3. Lookback Periods:
The script allows users to define three different lookback periods (5, 10, and 20 by default). These periods smooth out the cumulative buying and selling volumes using EMA calculations:
Shorter periods capture more immediate changes in volume dynamics.
Longer periods provide a broader perspective on market trends.
4. Cumulative Volume Calculation:
For each lookback period, cumulative buying and selling volumes are tracked separately and then smoothed with EMA:
emaBuyVol and emaSellVol are the smoothed values for buying and selling volumes over the lookback periods.
5. Market Pressure Comparison:
Buying Pressure: If the EMA of buying volume is greater than the EMA of selling volume for a particular lookback period, the script considers that buying pressure dominates for that period.
Selling Pressure: Conversely, if selling volume dominates over buying volume for a period, the script registers selling pressure.
6. Overall Market Pressure:
The script aggregates the buying and selling pressures from the three lookback periods to determine the overall market sentiment:
If the majority of periods show buying pressure, the market is bullish.
If the majority show selling pressure, the market is bearish.
If neither side dominates, it suggests a neutral or indecisive market.
Visual Cues:
The script provides visual feedback to help traders quickly interpret the market pressure:
Background Color:
Green (#2bff00) when buying pressure dominates.
Red (#ff0000) when selling pressure dominates.
Gray (#404040) when there is no clear dominance.
Bar Color: The script also colors the price bars based on the dominant market pressure:
Green for buying pressure.
Red for selling pressure.
Gray for neutral or balanced market pressure.
Reset Mechanism:
At the start of each new candle, the cumulative volumes for all three periods are reset to zero. This ensures that the cumulative volumes are only measured for the current candle, preventing carryover from previous periods that could distort the analysis.
How Traders Can Use This Script:
Trend Confirmation: Traders can use the script as a trend confirmation tool. When the background turns green (buying dominance), it suggests bullish momentum. When red, bearish momentum is likely. This information can be used to confirm existing positions or signal new trades in the direction of the market pressure.
Reversal Detection: A sudden shift in the background color (from green to red or vice versa) can indicate a potential reversal. This can be particularly useful when combined with other technical indicators such as price action or support/resistance levels.
Multiple Timeframes: Since the script supports three different lookback periods, it provides a comprehensive view of market pressure across short-term, medium-term, and long-term perspectives. Traders can tailor the lookback periods based on their preferred timeframe to match their trading style, whether it’s intraday trading or longer-term swing trading.
Risk Management: The script's clear visual cues help traders manage risk by highlighting when selling pressure increases, allowing them to consider reducing long positions or tightening stop-losses.
Cari dalam skrip untuk "high low"
Weekly Profiles [TFO]This Weekly Profiles indicator was built to overlay historical data to show how prior weeks of price action have unfolded under specified input conditions.
When "Show Historical Weekly Profiles" is enabled, the indicator draws out how prior weeks have traded. This is done by tracking weekly price movements, measuring the percent change from each week's respective weekly open price, and translating that percent change to the current week's open price to visually describe how price fluctuated in those previous weeks.
With "Show Weekly Profile Table" enabled, we can observe some basic statistics on the weekly profiles that have been collected, such as the average range and which days have made the high/low of the week from the given dataset.
There are also options to refine the dataset by specifying which days have made the high/low of the week, which will only show profiles that meet said criteria. For instance, by enabling "Low of Week" and selecting "Monday", the indicator will show every weekly profile that made its low on a Monday. In the following chart, we can again use the table to observe that we currently have 14 such weeks on NQ1! (from the data available on our current chart timeframe and TradingView plan), whose average range is 3.65% from the week's low to the week's high, and from those 14 weeks, the high of the week was made on a Friday 10 times or 71% of the time.
The "Profile Resolution" option specifies the interval at which to show changes in price (given that it is greater than or equal to the current chart timeframe). In the below chart, the Profile Resolution is set to 4 hours. As such, it simplifies the profiles by tracking the close price of each 4 hour candle (again as a percent change from each profile's respective open price). The larger Profile Resolution can make it easier to observe commonalities between profiles, such as the below chart of NQ1! that highlights a noticeable price decrease during the New York morning session across several of the available weekly profiles.
There is also an option to "Highlight Closest Profiles" which does exactly that. Essentially, all weekly profiles are given a score according to how close the current week's price action is matching each profile up until the current point in time. For example, if one were observing this indicator on a Wednesday afternoon, each profile would be scored according to how close price is to each profile, starting from the weekly open, up until the Wednesday afternoon of each profile. Everything after that point in time is disregarded since it hasn't happened yet and can't be measured. With this in mind, profiles with greater similarity to the current week are highlighted with deeper colors, and profiles with lesser similarity are given lighter, more transparent colors.
The "Randomize Colors" option will use various colors for the weekly profiles for easier visual differentiation (especially where there are several profiles crowding each other), as opposed to otherwise having one color for all profiles. Lastly, there are basic styling options to control the table position, table size, and the line width of all weekly profiles.
[r380]Bear & Bull Pivot Signal Indicator_(Lite))Bear & Bull Pivot Signal Indicator
Overview:
The Bear & Bull Multi Pivot Signal Indicator is a comprehensive trading tool designed to identify potential market reversal points and trend changes. This indicator combines multiple technical analysis strategies such as RSI, MACD, and pivot points to generate reliable signals. By overlapping these signals, the indicator increases the possibility of accurate trend predictions, providing traders with valuable insights for informed decision-making.
"This indicator is primarily optimized for Bitcoin on a 15-minute timeframe and is recommended for short-term trading. Reliability on other timeframes is not guaranteed."
Key Features:
Bear and Bull Signals: Clearly indicate potential market reversal points using bear and bull emojis.
Support and Resistance Signals: Indicated with sun and snowflake emojis to show critical price levels.
Overheat Cooldown Pivot: Detects market exhaustion points to signal potential reversals.
Settings:
RSI Settings: Adjust the RSI period and thresholds to match your trading strategy. Default values are optimized for short-term trading.
MACD Settings: The MACD settings are pre-configured but can be customized if needed.
Visual Settings: If excessive signals cause visual discomfort, you can selectively enable or disable features in the visual settings.
Signal Descriptions:
🐻 Bear Signal: Indicates a potential high point where the market may reverse downwards. Combines RSI and MACD conditions to provide a reliable overbought signal. When accompanied by high volume, it can indicate a strong resistance level.
🐮 Bull Signal: Indicates a potential low point where the market may reverse upwards. Uses both RSI and MACD conditions to highlight oversold situations. When accompanied by high volume, it can indicate a strong support level.
❄️ Resistance Signal: Shows a resistance level where the price has difficulty moving higher. When the price crosses below this level, it signals a potential downward movement. Combined with high volume, it can signify robust resistance.
☀️ Support Signal: Shows a support level where the price has difficulty moving lower. When the price crosses above this level, it signals a potential upward movement. Combined with high volume, it can signify strong support.
Detailed Explanation:
This indicator is not simply a combination of multiple indicators but is designed to increase the probability of detecting potential trend reversal signals by using multiple signals. If signals only appear when multiple conditions are met, how many trades can we make in a year? Because there is no 100% certainty in any situation, we need to use various signals to construct our strategy and proceed with trading. For example, if only one signal appears, the reliability of the trend reversal signal is somewhat weak, so we can strategize by betting only a portion of the capital. If multiple signals appear simultaneously, we can consider it a highly reliable trend reversal signal and increase the betting amount and stop loss accordingly. The essence of this indicator, in my view, is not to blindly trade based on signals but to use it as an auxiliary tool for strategic decision-making.
RSI (Relative Strength Index), MACD, and Stochastic RSI: By using various indicators to confirm trend reversal signals, bear and bull emojis are included. If the RSI reaches an oversold zone and then drops by a certain amount, while the MACD turns negative and the Stochastic RSI makes a gold or dead cross, the bear and bull signals are activated.
Pivot Points: Calculated based on the high, low, and close prices over a specific lookback period. These points are used to determine support and resistance levels. Pivot points provide a framework for assessing market sentiment and potential reversal zones. The values calculated this way activate the sun and snowflake signals.
The Overheat Cooldown Pivot: captures moments when the market shows signs of exhaustion, particularly when overbought or oversold conditions are accompanied by a drop in volume. This helps traders anticipate market turning points more effectively. These signals appear as red or green triangles indicating potential reversals. Although similar to the bear and bull signals in detecting market cool-off points, these signals rely on volume and may have slightly lower reliability.
Practical Application:
By using this indicator, traders can strategically adjust their bet sizes based on the reliability of the signals. When multiple signals coincide, it indicates a higher probability of a trend reversal, allowing for larger position sizes. Conversely, when signals occur independently, it suggests a lower probability, warranting smaller position sizes. This approach enables traders to manage their risk effectively and capitalize on high-probability trading opportunities without excessively reducing trading frequency.
Trading Method:
The basic setup is for Bitcoin on a 15-minute timeframe, and short-term trading is recommended by the creator. Upon signal activation, if only one signal appears, verify the volume and support/resistance lines, calculate the risk-reward ratio, and enter a position with a low betting ratio. If three signals activate simultaneously, enter a position with a higher betting ratio.
Reliability Order:
🐻🐮 > ❄️☀️ > 🔻🔺 (replacing green triangle emojis)
This indicator provides a powerful method for detecting multiple potential market reversals and trend continuations.
Note: Have realistic expectations and understand the limitations of technical analysis tools. This indicator is a tool to assist in your trading decisions and not a guaranteed prediction of market movements.
Warning! Do not trade solely based on this indicator.
Additionally, if you find the settings lacking, feel free to adjust them yourself! Thank you!
Korean Version
곰돌이와 송아지 멀티 피봇 시그널 인디케이터
개요:
곰돌이와 송아지 멀티 피봇 시그널 인디케이터는 잠재적 시장 반전 지점과 추세 변화를 식별하기 위해 설계된 종합 거래 도구입니다. 이 인디케이터는 RSI, MACD, 피봇 포인트 등의 여러 기술 분석 전략을 결합하여 신뢰할 수 있는 신호를 생성합니다. 이러한 신호들을 중첩함으로써 정확한 추세 예측의 가능성을 높여, 트레이더가 정보를 기반으로 결정을 내리는 데 유용한 통찰력을 제공합니다.
기본적으로 비트코인 15분봉을 기준으로 하며 매매 방법은 단타를 권장합니다. 다른 타임프레임에서의 신뢰는 보장 하지 않습니다.
주요 기능:
곰돌이와 송아지 신호: 시장의 잠재적 반전 지점을 곰돌이와 송아지 이모지로 명확하게 표시합니다.
지지 및 저항 신호: 중요한 가격 수준을 나타내기 위해 태양과 눈송이 이모지로 표시합니다.
오버히트 쿨다운 피봇: 시장 피로 지점을 감지하여 잠재적 반전 신호를 제공합니다.
세팅방법:
RSI 설정: RSI 기간과 임계값을 조정하여 자신의 거래 전략에 맞춥니다. 기본값은 단기 거래에 최적화되어 있습니다.
MACD 설정: MACD 설정은 미리 구성되어 있으며, 필요에 따라 사용자 정의가 가능합니다.
비쥬얼 세팅: 과도한 시그널 때문에 눈이 아프시다면 비쥬얼세팅에서 선택적으로 기능들을 켜거나 끌 수 있으니 참고하세요.
신호 설명:
🐻 곰돌이 신호: 시장이 하락할 가능성이 있는 고점을 나타냅니다. RSI와 MACD 조건을 결합하여 신뢰할 수 있는 과매수 신호를 제공합니다. 높은 거래량과 함께 나타나면 강한 저항 수준을 나타낼 수 있습니다.
🐮 송아지 신호: 시장이 상승할 가능성이 있는 저점을 나타냅니다. RSI와 MACD 조건을 사용하여 과매도 상황을 강조합니다. 높은 거래량과 함께 나타나면 강한 지지 수준을 나타낼 수 있습니다.
❄️ 저항 신호: 가격이 더 이상 상승하기 어려운 저항 수준을 나타냅니다. 가격이 이 수준 아래로 하락하면 잠재적 하락 움직임을 신호합니다. 높은 거래량과 함께 나타나면 강력한 저항을 의미할 수 있습니다.
☀️ 지지 신호: 가격이 더 이상 하락하기 어려운 지지 수준을 나타냅니다. 가격이 이 수준 위로 상승하면 잠재적 상승 움직임을 신호합니다. 높은 거래량과 함께 나타나면 강한 지지를 의미할 수 있습니다.
상세 설명:
이 인디케이터는 여러 인디케이터를 단순히 결합한 것이 아니라, 여러가지 시그널들을 사용해서 잠재적 추세전환 신호 감지 확률을 높이는 것에 목적이 있습니다. 단순히 여러가지 조건들이 중첩되었을때만 신호가 뜬다면 우리는 1년에 몇번이나 매매를 할 수 있을까요. 모든경우에 100% 라는 경우가 없기때문에 우리는 다양한 신호들을 활용하여 전략을 구성하고 매매를 진행 해야합니다. 예를들어 1개의 시그널만 뜬다면 추세전환 신호의 신뢰도가 다소 약하기 때문에 시드의 일부 금액만 배팅 하는 식으로 전략을 구성 할 수도 있고, 만약 여러가지 시그널들이 충접적으로 뜬다면 신뢰도 높은 추세전환의 신호로 인식하여 배팅금액을 높이고 스탑로스를 높게 잡는 방향으로 전략을 구성 할 수 있습니다. 단순히 맹목적으로 시그널이 떳다고 매매하는것이 아닌 보조 신호로써의 기능, 이것이 내가 생각하는 인디케이터의 역할이자 본질 이라고 생각합니다.
RSI (상대 강도 지수)와 MACD, 스토캐스틱 RSI: 여러가지 지표들을 기반으로 추세 반전의 신호를 확인 할 수 있는 곰돌이와 송아지를 넣었습니다. RSI 가 과매도 구간에 도달한 이후일정 수치 이상 하락하는 동시에 MACD가 음수로 변하고 스토캐스틱 RSI가 골드, 데드 크로스가 된다면 곰돌이와 송아지 신호가 활성화 됩니다.
피봇 포인트: 특정 되돌아보기 기간 동안의 최고, 최저, 종가를 기반으로 계산됩니다. 이 포인트는 지지 및 저항 수준을 결정하는 데 사용됩니다. 피봇 포인트는 시장 심리와 잠재적 반전 영역을 평가하는 프레임워크를 제공합니다. 이렇게 계산된 값을 기반으로 눈송이와 해 신호가 활성화 됩니다.
오버히트 쿨다운 피봇: 는 과매수 또는 과매도 상태에서 거래량이 감소할 때 시장 피로 지점을 포착하여 잠재적 반전 지점을 신호합니다. 이러한 피로 지점을 식별함으로써 인디케이터는 트레이더가 시장의 전환점을 보다 효과적으로 예측할 수 있도록 돕습니다. 그렇게 추세 반전의 신호로 녹색 또는 붉은색 삼각형 시그널이 뜹니다. 과열된 시장이 냉각되는 포인트를 찾는점에서는 곰돌이 송아지 신호와 비슷하지만 거래량을 기반으로 하고 있기 때문에 명백히 다른 시그널이며 신뢰도는 약간 낮을 수도 있습니다
실용적 적용:
이 인디케이터를 사용함으로써, 트레이더는 신호의 신뢰도에 따라 베팅 크기를 전략적으로 조정할 수 있습니다. 여러 신호가 동시에 나타날 때, 이는 추세 반전의 가능성이 높음을 나타내며, 더 큰 포지션 크기를 허용합니다. 반대로, 신호가 독립적으로 발생할 때는 낮은 가능성을 나타내므로 작은 포지션 크기가 적합합니다. 이 접근 방식은 트레이더가 효과적으로 리스크를 관리하고 높은 확률의 거래 기회를 활용하면서 거래 빈도를 과도하게 줄이는 것을 방지할 수 있게 합니다.
매매방법:
기본적인 세팅은 비트코인 15분 타임프레임이며 제작자는 단타를 추천합니다. 포지션 진입시 시그널이 1개가 뜬다면 거래량과 지지와 저항라인을 확인하고 손익비를 계산후 낮은 배팅 비율로 포지션에 진입합니다. 만약에 3개의 시그널이 동시에 활성화 된다면 보다 높은 비율로 포지션에 진입합니다.
신뢰도 순서:
]🐻🐮 > ❄️☀️ > 🔻🔺(초록 삼각이모지가 없기때문에 이것으로 대체)
이 지표는 여러 잠재적인 시장 반전 및 추세 지속성을 감지하는 강력한 방법을 제공합니다.
참고: 현실적인 기대를 가지고 기술 분석 도구의 한계를 이해하십시오. 이 지표는 시장 움직임을 보장하는 예측이 아니라 거래 결정을 돕기 위한 도구입니다.
경고! 절대 이 지표만을 가지고 매매하지 마십쇼.
추가적으로 제작자는 지표 세팅에 허접이라 꼬우면 당신이 세팅하십쇼! 감사합니다!
Smart Money Oscillator [ChartPrime]The "Smart Money Oscillator " is a premium and discount zone oscillator with BOS and CHoCH built in for further analysis of price action. This indicator works by first determining the the premium and discount zones by using pivot points and high/lows. The top of this oscillator represents the current premium zone while the bottom half of this oscillator represents the discount zone. This oscillator functionally works like a stochastic oscillator with more sophisticated upper and lower bounds generated using smart money concept theories. We have included a moving average to allow the user to visualize the currant momentum in the oscillator. Another key feature we have included lagging divergences to help traders visualize potential reversal conditions.
Understanding the concepts of Premium and Discount zones, as well as Break of Structure (BoS) and Change of Character (CHoCH), is crucial for traders using the Smart Money Oscillator. These concepts are rooted in market structure analysis, which involves studying price levels and movements.
Premium Zone is where the price is considered to be relatively high or 'overbought'. In this zone, prices have risen significantly and may indicate that the asset is becoming overvalued, potentially leading to a reversal or slowdown in the upward trend.
The Discount Zone represents a 'discount' or 'oversold' area. Here, prices have fallen substantially, suggesting that the asset might be undervalued. This could be an indicator of a potential upward reversal or a pause in the downward trend.
Break of Structure (BoS) is about the continuation of a trend. In a bullish trend, a BoS is identified by the break of a recent higher high. In a bearish trend, it's the break of a recent Lower Low. BoS indicates that the trend is strong and likely to continue in its current direction. It's a sign of strength in the prevailing trend, whether up or down.
Change of Character (CHoCH) is an indication of a potential end to a trend. It occurs when there's a significant change in the market's behavior, contradicting the current trend. For example, in an uptrend characterized by higher highs and higher lows, a CHoCH may occur if a new high is formed but then is followed by an impulsive move downwards. This suggests that the bullish trend may be weakening and a bearish reversal could be imminent. CHoCH is essentially a sign of trend exhaustion and potential reversal.
With each consecutive BoS, the signal line of the oscillator will deepen in color. This allows you to visually see the strength of the current trend. The maximum strength of the trend is found by keeping track of the maximum number of consecutive BoS's within a window of 10. This calculation excludes periods without any BoS's to allow for a more stable max.
Quick Update is a feature that implements a more aggressive algorithm to update the highs and lows. Instead of updating the pivot points exclusively to update the range levels, it will attempt to use the current historical highs/lows to update the bounds. This results in a more responsive range at the cost of stability. There are pros and cons for both settings. With Quick Update disabled, the indicator will allow for strong reversals to register without the indicator maxing out. With Quick Update enabled, the indicator will show shorter term extremes with the risk of the signal being pinned to the extremities during strong trends or large movements. With Quick Update disabled, the oscillator prioritizes stability, using a more historical perspective to set its bounds. When Quick Update is enabled, the oscillator becomes more responsive, adjusting its bounds rapidly to reflect the latest market movements.
The Scale Offset feature allows the indicator to break the boundaries of the oscillator. This can be useful when the market is breaking highs or lows allowing the user to identify extremities in price. With Scale Offset disabled the oscillator will always remain inside of the boundaries because the extremities will be updated instantly. When this feature is enabled it will update the boundaries one step behind instead of updating it instantly. This allows the user to more easily see overbought and oversold conditions at the cost of incurring a single bar lag to the boundaries. Generally this is a good idea as this behavior makes the oscillator more sensitive to recent price spikes or drops, reflecting sudden market movements more accurately. It accentuates the extremities of the market conditions, potentially offering a more aggressive analysis. The main trade-off with the Scale Offset feature is between sensitivity and potential overreaction. It offers a more immediate and exaggerated reflection of market conditions but might also lead to misinterpretations in certain scenarios, especially in highly volatile markets.
Divergence is used to predict potential trend reversals. It occurs when the price of an asset and the reading of an oscillator move in opposite directions. This discrepancy can signal a weakening of the current trend and possibly indicate a potential reversal.
Divergence doesn't always lead to a trend reversal, but it's a warning sign that the current trend might be weakening. Divergence can sometimes give false signals, particularly in strongly trending markets where the oscillator may remain in overbought or oversold conditions for extended periods. The lagging nature of using pivot points to calculate divergences means that all divergences are limited by the pivot look forward input. The upside of using a longer look forward is that the divergences will be more accurate. The obvious con here is that it will be more delayed and might be useless by the time it appears. Its recommended to use the built in divergences as a way to learn how these are formed so you can make your own in real time.
By default, the oscillator uses a smoothing of 3 to allow for a more price like behavior while still being rather smooth compared to raw price data. Conversely, you can increase this value to make this indicator behave smoother. Something to keep in mind is that the amount of delay from real time is equal to half of the smoothing period.
We have included a verity of alerts in this indicator. Here is a list of all of the available alerts: Bullish BOS, Bearish BOS, Bullish CHoCH, Bearish CHoCH, Bullish Divergence, Hidden Bullish Divergence, Bearish Divergence, Hidden Bearish Divergence, Cross Over Average, Cross Under Average.
Below are all of the inputs and their tooltips to get you started:
Settings:
Smoothing: Specifies the degree of smoothing applied to the oscillator. Higher values result in smoother but potentially less responsive signals.
Average Length: Sets the length of the moving average applied to the oscillator, affecting its sensitivity and smoothness.
Pivot Length: Specifies the forward-looking length for pivot points, affecting how the oscillator anticipates future price movements. This directly impacts the delay in finding a pivot.
Max Length: Sets the maximum length to consider for calculating the highest values in the oscillator.
Min Length: Defines the minimum length for calculating the lowest values in the oscillator.
Quick Update: Activates a faster update mode for the oscillator's extremities, which may result in less stable range boundaries.
Scale Offset: When enabled, delays updating minimum and maximum values to enhance signal directionality, allowing the signal to occasionally exceed normal bounds.
Candle Color: Enables coloring of candles based on the current directional signal of the oscillator.
Labels:
Enable BOS/CHoCH Labels: Activates the display of BOS (Break of Structure) and CHoCH (Change of Character) labels on the chart.
Visual Padding: Turns on additional visual padding at the top and bottom of the chart to accommodate labels. Determines the amount of visual padding added to the chart for label display.
Divergence:
Divergence Pivot: Defines the number of bars to the right of the pivot in divergence calculations, influencing the oscillator's responsiveness.
Divergence Pivot Forward: Directly impacts latency. Longer periods results in more accurate results at the sacrifice of delay.
Upper Range: Sets the upper range limit for divergence calculations, influencing the oscillator's sensitivity to larger trends.
Lower Range: Determines the lower range limit for divergence calculations, affecting the oscillator's sensitivity to shorter trends.
Symbol: Allows selection of the label style for divergence indicators, with options for text or symbolic representation.
Regular Bullish: Activates the detection and marking of regular bullish divergences in the oscillator.
Hidden Bullish: Enables the identification and display of hidden bullish divergences.
Regular Bearish: Turns on the feature to detect and highlight regular bearish divergences.
Hidden Bearish: Activates the functionality for detecting and displaying hidden bearish divergences.
Color:
Bullish: Determines the minimum/maximum color gradient for bullish signals, impacting the chart's visual appearance.
Bearish: Defines the minimum/maximum color gradient for bearish signals, affecting their visual representation.
Average: Specifies the color for the average line of the oscillator, enhancing chart readability.
CHoCH: Sets the color for bullish/bearish CHoCH (Change of Character) signals.
Premium/Discount: Determines the color for the premium/discount zone in the oscillator's visual representation.
Text Color: Sets the color for the text in BoS/CHoCH labels.
Regular Bullish: Defines the color used to represent regular bullish divergences.
Hidden Bullish: Specifies the color for hidden bullish divergences.
Regular Bearish: Determines the color for hidden bearish divergences.
Divergence Text Color: Specifies the color for the text in divergence labels.
The Ultimate Buy and Sell IndicatorThis indicator should be used in conjunction with a solid risk management strategy that does not over-leverage positions and uses stop-losses. You can not rely 100% on the signals provided by this indicator (or any other for that matter).
With that said, this indicator can provide some excellent signals.
It has been designed with a large number of customization options intended for advanced traders, but you do not HAVE to be an advanced user to simply use the indicator. I have tried to make it easy to understand, and this section will provide you with a better understanding of how to use it.
NOTE:
While NOT REQUIRED, I would recommend also finding my indicator called, "Ultimate RSI", which is designed to work together with this indicator (visually). They both contain the same settings and allow you to visualize changes made in this indicator that can not be displayed on the main chart.
This indicator creates it's own candles(bars), so you have to go into your main settings and turn off the "body, border and wick" color settings. Using a dark background is also recommended.
How does it work?
The indicator mainly relies on the RSI indicator with Bollinger Bands for signals. (Though not entirely)
First, there are something that I call "Watch Signals", which are various Bollinger Band crossing events. This could be the price crossing Bollinger Bands or the RSI crossing Bollinger Bands.
There are separate watch signals for buys and sells. Buy watch signals are colored orange to match the BUY signal candle color and Fuchsia (kind of a bright purple) to match SELL signal candles.
In order for most buy or sell signals to be created, there must first be a watch signal. There is a lookback period (or length) for watch signals to be used, and after that many candles (bars) have passed, they will be ignored. You can set a length to look back as well as a time to wait before creating any.
What this means is that if there has previously been (for instance) a sell signal. You can tell it to wait 10 bars before creating any buy watch signals. You can then also tell it that it should look back 10 bars from the current one in order to find any buy watch signals. This means that if you had it set up that way 10 to wait and 10 to validate, it would start allowing buy watch signals 11 bars after a sell, and then once you hit 20 bars, it will start leaving a gap (invisible to you) as the 10 bar lookback period starts moving forward with each new bar. This is useful in order to keep signals more spaced apart as some bad signals come quickly after another one.
Example: You may get a sell signal where the Bollinger bands are tight, then the price easily drops down into the lower band creating a buy watch signal, then you get a "fake" or short pump up and it says buy, but then drops dramatically afterwards. The wait period can ensure that the sell stays in effect longer before a buy is considered by blocking any buy watch signals for a period of time.
After you get a watch signal, the system then looks for various other things to happen to create buy or sell signals. This could be the RSI crossing the (slow) RSI Basis line (from its Bollinger bands), it could be the price crossing its basis line, it could be MACD crosses, it could even be RSI crossing certain levels. All of these are options. If you like the MACD strategy and want it to give you buy and sell signals from just MACD crosses, simply select that option for signals.
It is also able to use the first of any of the options that takes place.
I included an option to force alternating buy and sell signals, rather than showing groups of, or subsequent buy, buy, buy signals, for instance.
Moving on....
You can change the moving average that is used to calculate the RSI. The standard moving average for RSI is the RMA (aka SWMA). Changes to this can dramatically change your signals. You also have the option to change the moving average type used in the Bollinger bands calculation. You can change the length of these as well. The same goes for the Bollinger bands over the Price chart. I added an ATR option for the RSI Bollinger bands to play with, as well. You are able to adjust the standard deviation (multiplier) of the bands as well, which will of course affect the signals.
The ways you can play with signals are nearly infinite, so have fun figuring it out.
The indicator allows for moving averages to be shown as well, with a variety of types to choose from. The standard numbers are 5, 10, 20, 50, 100 and 200, with the addition of a custom moving average of your choice. You can also change the color of this one. You can choose to show them all or any of them you want to show, in any combination, although the TYPE of moving average (SMA, EMA, WMA, etc.) will apply to all of them.
You may also notice the Bollinger Bands over the Price are colored, and become more or less transparent.
The color is derived from the trend of the RSI or the RSI basis (your choice). It looks back at the value however many bars you want and compares the values and that's how it determines if it is trending up or down. Since RSI is a directional momentum indicator, this can be quite useful. If you see the bands are getting darker, this will explain why.
The indicator has a lookback period for determining the widest the bands (which measure volatility) have been over that period of time. This is the baseline. It then will make the bands disappear (by making them more transparent) if the volatility is low. This indicates that a change in volatility is coming and that price isn't really changing much compared to the past (default 500) bars. If they become bright, this is because price has started trending in a direction and volatility is increasing.
I should also note that the candles are colored based on RSI levels.
If you use the Ultimate Companion indicator, you will be able to see the RSI levels (zones) that the colors are based on. As RSI moves into a new range, the candle color will change.
I have created a yellow zone where the candles turn yellow. This is when RSI is between (default) 45 and 55, indicating there is basically no momentum and price is going sideways. This is a good place to get trapped in bad trades, and there is a Yellow RSI Filter to block signals in this area to keep you from entering bad trades.
Green candles indicate values over 55 (getting brighter as RSI rises) and red candles are RSI values under 45 (getting brighter as RSI values get lower). If you see white, this means RSI is either over 80 or under 20. A sharp reversal is almost always imminent at this stage.
When we talk about Buy and Sell Signals, they draw a green or red triangle and it literally says BUY or SELL. There is an option to color the background for added visibility. These signals do not "repaint", what this means is that they can be late. To account for this, I have included a background color that will flash as a warning that a buy or sell could be imminent, although it may fail to break through and set a buy or sell signal. This is simply an advanced warning. The reason is that sometimes a candle may be very large and you won't be told to buy or sell during the candle until the move is completely over and now you're getting in on the next one. That's not a great feeling, so I made it repaint the background color and not repaint the completed signal. You get the best of both worlds.
This indicator also uses complex logic to handle things.
When there is a buy signal, it enters into a state of having been bought, or a "bought state". The same for sells. If Force alternating signals is off, you could have more than one buy in a bought state, or more than one sell in a sell state. There is an option to color the background green during the full duration of a bought state, or red during the full duration of a sold state.
I have added divergence.
This shows that the lows or highs of RSI and PRICE are different. If RSI is making higher highs but the price is not, then the price is likely to follow this bullish divergence, if the opposite happens, it's bearish. It will draw a line on the chart connecting the highs and lows and call it bearish or bullish. You can adjust this as well.
I have an RSI High/Low filter. If the RSI basis (or average) is very high or low, you can block signal from this area since the price is likely to continue in that direction before actually reversing.
You can change the settings of the MACD if you choose to use it for signals, and if you want to see it, you'll have to run that indicator below the chart and match the settings to see what is going on, just like the RSI.
Going back to Watch Signals. You can also choose to require more than one watch signal if you choose. You can skip watch signals, so it will ignore the first or second one, whatever you want to do. You can color the background to show you where watch signals have been skipped.
Regarding the wait period for creating watch signals after a sell or after a buy, you can also color the background to see where these were blocked by the wait period.
Lastly you can choose which type of watch signals to use, or keep them from being shown on the chart. This allows you to study the history of how the asset you are trading behaves and customize the behavior of signals based on your study of it.
Everything in the settings area has tooltips, which will explain what that thing does to help you along this journey.
I hope this indicator (and perhaps Ultimate RSI alongside this) will help you take your trading to the next level.
Long-Only Opening Range Breakout (ORB) with Pivot PointsIntraday Trading Strategy: Long-Only Opening Range Breakout (ORB) with Pivot Points
Background:
Opening Range Breakout (ORB) is a popular long-only trading strategy that capitalizes on the early morning volatility in financial markets. It's based on the idea that the initial price movements during the first few minutes or hours of the trading day can set the tone for the rest of the session. The strategy involves identifying a price range within which the asset trades during the opening period and then taking long positions when the price breaks out to the upside of this range.
Pivot Points are a widely used technical indicator in trading. They represent potential support and resistance levels based on the previous day's price action. Pivot points are calculated using the previous day's high, low, and close prices and can help traders identify key price levels for making trading decisions.
How to Use the Script:
Initialization: This script is written in Pine Script, a domain-specific language for trading strategies on the TradingView platform. To use this script, you need to have access to TradingView.
Apply the Script: You can do this by adding it to your favorites, then selecting the script in the indicators list under favorites or by searching for it by name under community scripts.
Customize Settings: The script allows you to customize various settings through the TradingView interface. These settings include:
Opening Session: You can set the time frame for the opening session.
Max Trades per Day: Specify the maximum number of long trades allowed per trading day.
Initial Stop Loss Type: Choose between using a percentage-based stop loss or the previous candles low for stop loss calculations.
Stop Loss Percentage: If you select the percentage-based stop loss, specify the percentage of the entry price for the stop loss.
Backtesting Start and End Time: Set the time frame for backtesting the strategy.
Strategy Signals:
The script will display pivot points in blue (R1, R2, R3, R4, R5) and half-pivot points in gray (R0.5, R1.5, R2.5, R3.5, R4.5) on your chart.
The green line represents the opening range.
The script generates long (buy) signals based on specific conditions:
---The open price is below the opening range high (h).
---The current high price is above the opening range high.
---Pivot point R1 is above the opening range high.
---It's a long-only strategy designed to capture upside breakouts.
---It also respects the maximum number of long trades per day.
The script manages long positions, calculates stop losses, and adjusts long positions according to the defined rules.
Trailing Stop Mechanism
The script incorporates a dynamic trailing stop mechanism designed to protect and maximize profits for long positions. Here's how it works:
1. Initialization:
The script allows you to choose between two types of initial stop loss:
---Percentage-based: This option sets the initial stop loss as a percentage of the entry price.
---Previous day's low: This option sets the initial stop loss at the previous day's low.
2. Setting the Initial Stop Loss (`sl_long0`):
The initial stop loss (`sl_long0`) is calculated based on the chosen method:
---If "Percentage" is selected, it calculates the stop loss as a percentage of the entry price.
---If "Previous Low" is selected, it sets the stop loss at the previous day's low.
3. Dynamic Trailing Stop (`trail_long`):
The script then monitors price movements and uses a dynamic trailing stop mechanism (`trail_long`) to adjust the stop loss level for long positions.
If the current high price rises above certain pivot point levels, the trailing stop is adjusted upwards to lock in profits.
The trailing stop levels are calculated based on pivot points (`r1`, `r2`, `r3`, etc.) and half-pivot points (`r0.5`, `r1.5`, `r2.5`, etc.).
The script checks if the high price surpasses these levels and, if so, updates the trailing stop accordingly.
This dynamic trailing stop allows traders to secure profits while giving the position room to potentially capture additional gains.
4. Final Stop Loss (`sl_long`):
The script calculates the final stop loss level (`sl_long`) based on the following logic:
---If no position is open (`pos == 0`), the stop loss is set to zero, indicating there is no active stop loss.
---If a position is open (`pos == 1`), the script calculates the maximum of the initial stop loss (`sl_long0`) and the dynamic trailing stop (`trail_long`).
---This ensures that the stop loss is always set to the more conservative of the two values to protect profits.
5. Plotting the Stop Loss:
The script plots the stop loss level on the chart using the `plot` function.
It will only display the stop loss level if there is an open position (`pos == 1`) and it's not a new trading day (`not newday`).
The stop loss level is shown in red on the chart.
By combining an initial stop loss with a dynamic trailing stop based on pivot points and half-pivot points, the script aims to provide a comprehensive risk management mechanism for long positions. This allows traders to lock in profits as the price moves in their favor while maintaining a safeguard against adverse price movements.
End of Day (EOD) Exit:
The script includes an "End of Day" (EOD) exit mechanism to automatically close any open positions at the end of the trading day. This feature is designed to manage and control positions when the trading day comes to a close. Here's how it works:
1. Initialization:
At the beginning of each trading day, the script identifies a new trading day using the `is_newbar('D')` condition.
When a new trading day begins, the `newday` variable becomes `true`, indicating the start of a new trading session.
2. Plotting the "End of Day" Signal:
The script includes a plot on the chart to visually represent the "End of Day" signal. This is done using the `plot` function.
The plot is labeled "DayEnd" and is displayed as a comment on the chart. It signifies the EOD point.
3. EOD Exit Condition:
When the script detects that a new trading day has started (`newday == true`), it triggers the EOD exit condition.
At this point, the script proceeds to close all open positions that may have been active during the trading day.
4. Closing Open Positions:
The `strategy.close_all` function is used to close all open positions when the EOD exit condition is met.
This function ensures that any remaining long positions are exited, regardless of their current profit or loss.
The function also includes an `alert_message`, which can be customized to send an alert or notification when positions are closed at EOD.
Purpose of EOD Exit
The "End of Day" exit mechanism serves several essential purposes in the trading strategy:
Risk Management: It helps manage risk by ensuring that positions are not left open overnight when markets can experience increased volatility.
Capital Preservation: Closing positions at EOD can help preserve trading capital by avoiding potential adverse overnight price movements.
Rule-Based Exit: The EOD exit is rule-based and automatic, ensuring that it is consistently applied without emotions or manual intervention.
Scalability: It allows the strategy to be applied to various markets and timeframes where EOD exits may be appropriate.
By incorporating an EOD exit mechanism, the script provides a comprehensive approach to managing positions, taking profits, and minimizing risk as each trading day concludes. This can be especially important in volatile markets like cryptocurrencies, where overnight price swings can be significant.
Backtesting: The script includes a backtesting feature that allows you to test the strategy's performance over historical data. Set the start and end times for backtesting to see how the long-only strategy would have performed in the past.
Trade Execution: If you choose to use this script for live trading, make sure you understand the risks involved. It's essential to set up proper risk management, including position sizing and stop loss orders.
Monitoring: Monitor the long-only strategy's performance over time and be prepared to make adjustments as market conditions change.
Disclaimer: Trading carries a risk of capital loss. This script is provided for educational purposes and as a starting point for your own long-only strategy development. Always do your own research and consider seeking advice from a qualified financial professional before making trading decisions.
Average True Range Trailing Mean [Alifer]Upgrade of the Average True Range default indicator by TradingView. It adds and plots a trailing mean to show periods of increased volatility more clearly.
ATR TRAILING MEAN
A trailing mean, also known as a moving average, is a statistical calculation used to smooth out data over time and identify trends or patterns in a time series.
In our indicator, it clearly shows when the ATR value spikes outside of it's average range, making it easier to identify periods of increased volatility.
Here's how the ATR Trailing Mean (atr_mean) is calculated:
atr_mean = ta.cum(atr) / (bar_index + 1) * atr_mult
The ta.cum() function calculates the cumulative sum of the ATR over all bars up to the current bar.
(bar_index + 1) represents the number of bars processed up to the current bar, including the current one.
By dividing the cumulative ATR ta.cum(atr) by (bar_index + 1) and then multiplying it by atr_mult (Multiplier), we obtain the ATR Trailing Mean value.
If atr_mult is set to 1.0, the ATR Trailing Mean will be equal to the simple average of the ATR values, and it will follow the ATR's general trend.
However, if atr_mult is increased, the ATR Trailing Mean will react more strongly to the ATR's recent changes, making it more sensitive to short-term fluctuations.
On the other hand, reducing atr_mult will make the ATR Trailing Mean less responsive to recent changes in ATR, making it smoother and less prone to reacting to short-term volatility.
In summary, adjusting the atr_mult input allows traders to fine-tune the ATR Trailing Mean's responsiveness based on their preferred level of sensitivity to recent changes in market volatility.
IMPLEMENTATION IN A STRATEGY
You can easily implement this indicator in an existing strategy, to only enter positions when the ATR is above the ATR Trailing Mean (with Multiplier-adjusted sensitivity). To do so, add the following lines of codes.
Under Inputs:
length = input.int(title="Length", defval=20, minval=1)
atr_mult = input.float(defval=1.0, step = 0.1, title = "Multiplier", tooltip = "Adjust the sensitivity of the ATR Trailing Mean line.")
smoothing = input.string(title="Smoothing", defval="RMA", options= )
ma_function(source, length) =>
switch smoothing
"RMA" => ta.rma(source, length)
"SMA" => ta.sma(source, length)
"EMA" => ta.ema(source, length)
=> ta.wma(source, length)
This will allow you to define the Length of the ATR (lookback length over which the ATR is calculated), the Multiplier to adjust the Trailing Mean's sensitivity and the type of Smoothing to be used for the ATR.
Under Calculations:
atr= ma_function(ta.tr(true), length)
atr_mean = ta.cum(atr) / (bar_index+1) * atr_mult
This will calculate the ATR based on Length and Smoothing, and the resulting ATR Trailing Mean.
Under Entry Conditions, add the following to your existing conditions:
and atr > atr_mean
This will make it so that entries are only triggered when the ATR is above the ATR Trailing Mean (adjusted by the Multiplier value you defined earlier).
ATR - DEFINITION AND HISTORY
The Average True Range (ATR) is a technical indicator used to measure market volatility, regardless of the direction of the price. It was developed by J. Welles Wilder and introduced in his book "New Concepts in Technical Trading Systems" in 1978. ATR provides valuable insights into the degree of price movement or volatility experienced by a financial asset, such as a stock, currency pair, commodity, or cryptocurrency, over a specific period.
ATR - CALCULATION AND USAGE
The ATR calculation involves three components:
1 — True Range (TR): The True Range is a measure of the asset's price movement for a given period. It takes into account the following factors:
The difference between the high and low prices of the current period.
The absolute value of the difference between the high price of the current period and the closing price of the previous period.
The absolute value of the difference between the low price of the current period and the closing price of the previous period.
Mathematically, the True Range (TR) for the current period is calculated as follows:
TR = max(high - low, abs(high - previous_close), abs(low - previous_close))
2 — ATR Calculation: The ATR is calculated as a Moving Average (MA) of the True Range over a specified period.
The ATR is calculated as follows:
ATR = MA(TR, length)
3 — ATR Interpretation: The ATR value represents the average volatility of the asset over the chosen period. Higher ATR values indicate higher volatility, while lower ATR values suggest lower volatility.
Traders and investors can use ATR in various ways:
Setting Stop Loss and Take Profit Levels: ATR can help determine appropriate stop-loss and take-profit levels in trading strategies. A larger ATR value might require wider stop-loss levels to allow for the asset's natural price fluctuations, while a smaller ATR value might allow for tighter stop-loss levels.
Identifying Market Volatility: A sharp increase in ATR might indicate heightened market uncertainty or the potential for significant price movements. Conversely, a decreasing ATR might suggest a period of low volatility and possible consolidation.
Comparing Volatility Between Assets: Since ATR uses absolute values, it shouldn't be used to compare volatility between different assets, as assets with higher prices will consistently have higher ATR values, while assets with lower prices will consistently have lower ATR values. However, the addition of a trailing mean makes such a comparison possible. An asset whose ATR is consistently close to its ATR Trailing Mean will have a lower volatility than an asset whose ATR continuously moves far above and below its ATR Trailing Mean. This can help traders and investors decide which markets to trade based on their risk tolerance and trading strategies.
Determining Position Size: ATR can be used to adjust position sizes, taking into account the asset's volatility. Smaller position sizes might be appropriate for more volatile assets to manage risk effectively.
HTF Liquidity Dashboard [TFO]The purpose of this indicator is to server as a multi-symbol scanner that indicates when user-defined symbols have exceeded their previous Day/Week/Month highs and lows.
By default, the dashboard will use a compact view where the green ✔ means that price has swept and is currently exceeding the level of interest, the red ❌ implies that price swept the level but reversed back into the original range, and - indicates that the level hasn't been reached. However, the dashboard text can be toggled to show the numerical values of the highs and lows instead of these compact strings, as shown in the following image.
These levels may be shown and customized on the current chart as well via the Show Levels option. By default, levels from the selected timeframes will initially be plotted as black, and will change to red once traded through. Users can optionally increase the Session Limit parameter to show more than one previous high/low on their chart, for each selected timeframe.
Optionally, we can also plot labels to show when any of the user-defined symbols have exceeded their respective highs and lows, for any of the selected timeframes. Alerts can be created for these events as well; simply select the desired symbols and timeframes, create a new alert using this indicator, and you should be alerted when highs and lows are traded through. Note: if you encounter any issues with duplicate alerts, try deleting the alert, navigating to a lower timeframe such as the 1m, and making a new alert.
ICT Sessions_One Setup for Life [MK]The script plots the High/Low of the following trading sessions:
London - 02:00-05:00
NY AM - 09:30-12:00
New York Lunch - 12:00-13:30
New York PM - 13:30-16:00
Due to the high level of liquidity (resting orders), highs and lows of these sessions may be used as buy/sell areas and also as profit target areas. Typically, buy orders would be initiated below a session low and sell orders would be initiated above a
session high.
The script also plots 'RTH (Regular Trading Hours) Opening Gaps'. The RTH gaps are drawn from the closing price of regular trading at 16:15 (EST) to the open price of regular trading at 09:30 (EST). Gaps can be areas that traders might anticipate to be filled at some time in the future. A gap 'midline' is available if needed and yesterday RTH close line can be shown and extended to the current bar.
This script is simply a means to draw boxes around certain areas/periods on the charts. It is in no way a trading strategy and users should spend much time to study the concept and should also perform extensive back-testing before taking any trades.
By setting the lookback value to a much higher value then the default of 6, users can utilise the script to perform their own backtesting studies.
The above chart shows the default setup of the indicator. Note that the user has to choose how far (in days) to lookback and draw the sessions/gaps.
It is also possible to show the session high//low lines and extend them to the current bar time. If this is used it is advised to keep the lookback period as low as possible to ensure charts stay clean/uncluttered.
All boxes/lines styles/colors are fully customisable.
Advanced Choppiness Indicator with CPMA"The Advanced Choppiness Indicator with CPMA is a technical analysis tool designed to assist traders in identifying choppy market conditions and determining trend direction. It combines two key components: the Choppiness Index and a Custom Price Moving Average (CPMA).
The Choppiness Index is calculated using the Average True Range (ATR), which measures market volatility. It compares the ATR to the highest high and lowest low over a specified period. A higher Choppiness Index value indicates choppier market conditions, while a lower value suggests smoother and more directional price movements.
The CPMA is a custom moving average that takes into account various price types, including the close, high, low, and other combinations. It calculates the average of these price types over a specific length. The CPMA provides a smoother trend line that can help identify support and resistance levels more accurately than traditional moving averages.
When using this indicator, pay attention to the following elements:
Yellow range boxes: These indicate choppy zones, where market conditions are characterized by low momentum and erratic price action. Avoid entering trades during these periods.
Histogram bars: Green bars suggest an uptrend, while red bars indicate a downtrend. These bars are based on the CPMA and can help confirm the prevailing trend direction.
CPMA angle: The angle of the CPMA line provides further insight into the trend. A positive angle indicates an uptrend, while a negative angle suggests a downtrend.
Choppiness thresholds: The indicator includes user-defined thresholds for choppiness. Values above the high threshold indicate high choppiness, while values below the low threshold suggest low choppiness.
Trade decisions: Consider the information provided by the indicator to make informed trading decisions. Avoid trading during choppy zones and consider entering trades in the direction of the prevailing trend.
Remember that the indicator's parameters, such as ATR length and CPMA length, can be adjusted to suit your trading preferences and timeframe. However, it's important to use this indicator in conjunction with other technical analysis tools and your trading strategy for comprehensive market analysis."
By combining the Choppiness Index, CPMA, and other visual cues, this indicator aims to help traders identify suitable trading conditions and make more informed decisions based on market trends and volatility.
Hikkake Hunter 2.0This script serves as a successor to a previous script I wrote for identifying Hikkakes nearly two years ago.
The old version has been preserved here:
█ OVERVIEW
This script is a rework of an old script that identified the Hikkake candlestick pattern. While this pattern is not usually considered a part of the standard candlestick patterns set, I found a lot of value when finding a solution to identifying it. A Hikkake pattern is a 3-candle pattern where a middle candle is nested in between the range of the prior candle, and a candle that follows has a higher high and a higher low (bearish setup) or a lower high and a lower low (bullish setup). What makes this pattern unique is the "confirmation" status of the pattern; within 3 candles of this pattern's appearance, there must be a candle that closes above the high (bullish setup) or below the low (bearish setup) of the second candle. Additional flexibility has been added which allows the user to specify the number of candles (up to 5) that the pattern may have to confirm after its appearance.
█ CONCEPTS
This script will cover concepts mainly focusing on candlestick analysis, price analysis (with higher timeframes), and statistical analysis. I believe there is also educational value presented with the use of user-defined-types (UDTs) in accomplishing these concepts that I hope others will find useful.
Candlestick Analysis - Identification and confirmation of the patterns in the deprecated script were clunky and inefficient. While the previous script required the use of 6 candles to perform the confirmations of patterns (restricted solely to identifying patterns that confirmed in 3 candles or less), this script only requires 3 candles to identify and process patterns by utilizing a UDT representing a 'pattern object'. An object representing a pattern will be created when it has been identified, and fields within that object will be set for processing by the functions it is passed to. Pattern objects are held by a var array (values within the array persist between bars) and will be removed from this array once they have been confirmed or non-confirmed.
This is a significant deviation from the previous script's methods, as it prevents unnecessary re-evaluations of the confirmation status of patterns (i.e. Hikkakes confirmed on the first candle will no longer need to be checked for confirmations on the second or third; a pitfall of the deprecated version which required multiple booleans tracking prior confirmation statuses). This deviation is also what provides the flexibility in changing the number of candles that can pass before a pattern is deemed non-confirmed.
As multiple patterns can be confirmed simultaneously, this script uses another UDT representing a linked-list reduction of the pattern object used to process it. This liked-list object will then be used for Price Analysis.
Price Analysis - This script employs the use of a UDT which contains all the returns of confirmed patterns. The user specifies how many candles ahead of the confirmed pattern to calculate its return, as well as where this calculation begins. There are two settings: FROM APPEARANCE and FROM CONFIRMATION (default). Price differences are calculated from the open of the candle immediately following the candle which had confirmed the pattern to the close of the candle X candles ahead (default 10). ( SEE FEATURES )
Because of how Pine functions, this calculation necessitates a lookback on prior candles to identify when a pattern had been confirmed. This is accomplished with the following pseudo-code:
if not na(confirmed linked-list )
for all confirmed in list
GET MATRIX PLACEMENT
offset = FROM CONFIRMATION ? 0 : # of candles to confirm
openAtFind = open
percent return = ((close - openAtFind) / openAtFind) * 100
ADD percent return TO UDT IN MATRIX
All return UDTs are held in a matrix which breaks up these patterns into specific groups covered in the next section.
Higher Timeframes - This script makes a request.security call to a higher timeframe in order to identify a price range which breaks up these patterns into groups based on the 'partition' they had appeared in. The default values for this partitioning will break up the chart into three sections: upper, middle, and lower. The upper section represents the highest 20% of the yearly trading range that an asset has experienced. The lower section represents the trading range within a third (33%) of the yearly low. And the middle section represents the yearly high-low range between these two partitions.
The matrix containing all return UDTs will have these returns split up based on the number of candles required to confirm the pattern as well as the partition the pattern had appeared in. The underlying rationale is that patterns may perform better or worse at different parts of an asset's trading range.
Statistical Analysis - Once a pattern has been confirmed, the matrix containing all return UDTs will be queried to check if a 'returnArray' object has been created for that specific pattern. If not, one will be initialized and a confirmed linked-list object will be created that contains information pertinent to the matrix position of this object.
This matrix contains the returns of both the Bullish and Bearish Hikkake patterns, separated by the number of candles needed to confirm them, and by the partitions they had appeared in. For the standard 3 candles to confirm, this means the matrix will contain 18 elements (dependent on the number of candles allowed for confirmations; its size will range from 12 to 30).
When the required number of candles for Price Analysis passes, a percent return is calculated and added to the returnArray contained in the matrix at the location derived from the confirmed linked-list object's values. The return is added, and all values in the returnArray are updated using Pine's built in array.___ functions. This returnArray object contains the array of all returns, its size, its average, the median, the standard deviation of returns, and a separate 3-integer array which holds values that correspond to the types of returns experienced by this pattern (negative, neutral, and positive)*.
After a pattern has been confirmed, this script will place the partition and all of the aforementioned stats values (plus a 95% confidence interval of expected returns) related to that pattern onto the tooltip of the label that identifies it. This allows users to scroll over the label of a confirmed pattern to gauge its prior performance under specific conditions. The percent return of the specific pattern identified will later be placed onto the label tooltip as well. ( SEE LIMITATIONS )
The stats portion of this script also plays a significant role in how patterns are presented when using the Adaptive Coloring mode described in FEATURES .
*These values are incremented based on user-input related to what constitutes a 'negative' or 'positive' return. Default values would place any return by a pattern between -3% and 3% in the 'neutral' category, and values exceeding either end will be placed in the 'negative' or 'positive' categories.
█ FEATURES
This script contains numerous inputs for modifying its behavior and how patterns are presented/processed, separated into 5 groups.
Confirmation Setting - The most important input for this script's functioning. This input is a 'confirm=true' input and must be set by the user before the script is applied to the chart. It sets the number of candles that a pattern has to confirm once it has been identified.
Alert Settings - This group of booleans sets which types of alerts will fire during the scripts execution on the chart. If enabled, the four alerts will trigger when: a pattern has been identified, a pattern has been confirmed, a pattern has been non-confirmed, and show the return for that confirmed pattern in an alert. Because this script uses the 'alert' function and not 'alertcondition', these must be enabled before 'any alert() function call' is set in TradingView's 'alerts' settings.
Partition Settings - This group of inputs are responsible for creating (and viewing) the partitions that breaks the returns of the patterns identified up into their respective groups. The user may set the resolution to grab the range from, the length back of this resolution the partitions get their values from, the thresholds which breaks the partitions up into their groups, and modify the visibility (if they're shown, the colors, opacity) of these partitions.
Stats Settings - These inputs will drastically alter how patterns are presented and the resulting information derived from them after their appearance. Because of this section's importance, some of these inputs will be described in more detail.
P/L Sample Length - Defines the number of candles after the starting point to grab values from in the % return calculation for that pattern.
P/L Starting Point - Defines the starting point where the P/L calculation will take place. 'FROM APPEARANCE' will set the starting point at the candle immediately following the pattern's appearance. 'FROM CONFIRMATION' will place the starting point immediately following the candle which had confirmed the pattern. ( SEE LIMITATIONS )
Min Returns Needed - Sets how many times a specific pattern must appear (both by number of candles needed to confirm and by partition) before the statistics for that pattern are displayed onto the tooltip (and for gradient coloration in Adaptive Coloring mode).
Enable Adaptive Coloring - Changes the coloration of the patterns based on the bullish/bearishness of the specified Gradient Reference value of that pattern compared to the Return Tolerance values OR the minimum and maximum values of that specified Gradient Reference value contained in the matrix of all returns. This creates a color from a gradient using the user-specified colors and alters how many of the patterns may appear if prior performance is taken into account.
Gradient Reference - Defines which stats measure of returns will be used in the gradient color generation. The two settings are 'AVG' and 'MEDIAN'.
Hard Limit - This boolean sets whether the Return Tolerance values will not be replaced by values that exceed them from the matrix of returns in color gradient generation. This changes the scale of the gradient where any Gradient Reference values of patterns that exceed these tolerances will be colored the full bullish or bearish gradient colors, and anything in between them will be given a color from the gradient.
Visibility Settings - This last section includes all settings associated with the overall visibility of patterns found with this script. This includes the position of the labels and their colors (+ pattern colors without Adaptive Coloring being enabled), and showing patterns that were non-confirmed.
Most of these inputs in the script have these kinds of descriptions to what they do provided by their tooltips.
█ HOW TO USE
I attempted to make this script much easier to use in terms of analyzing the patterns and displaying the information to the user. The previous script would have the user go to the 'data window' side bar on TradingView to view the returns of a pattern after they had specified which pattern to analyze through the settings, needlessly convoluted. This aim at simplicity was achieved through the use of UDTs and specific code-design.
To use, simply apply the indicator to a chart, set the number of candles (between 2 and 5) for confirming this specific pattern and adjust the many settings described above at your leisure.
█ LIMITATIONS
Disclaimer - This is a tool created with the hopes of helping identify a specific pattern and provide an informative view about the performance of that pattern. Previous performance is not indicative of future results. None of this constitutes any form of financial advice, *use at your own risk*.
Statistical Analysis - This script assumes that all patterns will yield a NORMAL DISTRIBUTION regarding their returns which may not be reflective of reality. I personally have limited experience within the field of statistics apart from a few high school/college courses and make no guarantees that the calculation of the 95% confidence interval is correct. Please review the source code to verify for yourself that this interval calculation is correct (Function Name: f_DisplayStatsOnLabel).
P/L Starting Point - Because of when the object related to the confirmation status of a pattern is created (specifically the linked-list object) setting the 'P/L Starting Point' to 'FROM APPEARANCE' will yield the results of that P/L calculation at the same time as 'FROM CONFIRMATION'.
█ EXAMPLES
Default Settings:
Partition Background (default):
Partition Background (Resolution D : Length 30):
Adaptive Coloration:
Show Non-Confirmed:
Elliott Wave [LuxAlgo]The Elliott Wave indicator allows users to detect Elliott Wave (EW) impulses as well as corrective segments automatically on the chart. These are detected and displayed serially, allowing users to keep track of the evolution of an impulse or corrective wave.
Fibonacci retracements constructed from detected impulse waves are also included.
This script additionally allows users to get alerted on a wide variety of trigger conditions (see the ALERTS section below).
🔶 SETTINGS
🔹 Source
• "high" -> options high, close, maximum of open/close
• "low" -> options low, close, minimum of open/close
🔹 ZigZag
• The source and length are used to check whether a new Pivot Point is found.
Example:
• source = high/low, length = 10:
• There is a new pivot high when:
- previous high is higher than current high
- the highs of 10 bars prior to previous high are all lower
• These pivot points are used to form the ZigZag lines, which in their turn are used for pattern recognition
🔶 USAGE
The basic principles we use to identify Elliott Wave impulses are:
• A movement in the direction of the trend ( Motive/Impulse wave ) is divided in 5 waves (Wave 1 -> 5)
• The Corrective Wave (against the trend) is divided in 3 waves (Wave A -> C)
• The waves can be subdivided in smaller waves
• Wave 2 can’t retrace more than the beginning of Wave 1
• Wave 4 does not overlap with the price territory of Wave 1
Here we see an example:
Let's look at the development:
• 1 bar after point (5) a confirmed 5 Motive Wave pattern is found (1 -> 5; The 5 Waves can also be seen as one large Wave 1 ).
• Next, the script draws a set of Fibonacci lines, which are area's where the Corrective Wave potentially will bounce.
Here we see the fifth wave is getting larger, the previous highest point is updated, and the Wave 5 is larger than Wave 3 :
(At this point, the pattern is invalidated, and it display as dotted)
Further progression in time:
At this point, a confirmed " 3 Corrective Wave pattern " is found (a -> c)
When a new high has developed, a circle is drawn (in the same color of the lines)
However, when the bottom of the drawn box has breached, a red cross will be visualized.
Further progression:
Later on, a bearish confirmed " 5 Motive Wave pattern " is found (1 -> 5):
When a Corrective Wave becomes invalidated, the ABC pattern will display as dashed (not dotted):
🔶 TECHNIQUES
Pine Script™ introduces methods!
• More information can be found here:
• Pine Script™ v5 User Manual 👉 Methods
• Pine Script™ language reference manual 👉 method
🔶 ALERTS
Dynamic alerts are included in the script, you only need to set 1 alert to receive following messages:
• When a new EW Motive Pattern is found (Bullish/Bearish )
• When a new EW Corrective Pattern is found (Bullish/Bearish )
• When an EW Motive Pattern is invalidated (Bullish/Bearish )
• When an EW Corrective Pattern is invalidated (Bullish/Bearish )
• When possible, a start of a new EW Motive Wave is found (Bullish/Bearish )
• Here is information how you can set these alerts()
Strategy: Range BreakoutWhat?
In the price action, levels have a significant role to play. Based on the price moving above/below the levels - the underlying instrument shows some price-action in the direction of breakout/breakdown.
There are plenty of ways level can be determined. Levels are the decision point to take a trade or not. But if we make the level derivation complex, then the execution may get hamper.
This strategy script, developed in PineScript v5, is our attempt at solving this problem at the core by providing this simple, yet elegant solution to this problem.
It's essentially an attempt to Trade Simple by drawing logical (horizontal) lines in the chart and take actions, after multiple associated parameters confirmation, on the breakout / breakdown of the levels.
How?
Let us explain how we are drawing the levels.
We are depending on some of the parameters as described below:
Open Range : During intraday movement, often if prices move beyond a particular level, it exibits more movement in the same swing in same direction. We found out, through our back testing for Indian Indices like NSE:NIFTY , NSE:BANKNIFTY or NSE:CNXFINANCE the first 15m (i.e 09:15 AM to 09:30 AM, IST) is one of such range. For Indian stocks, it is 9:15 to 9:45. And for MCX MCX:CRUDEOIL1! it's 5:00 pm to 6:00 pm. There are our first levels.
PDHCL : Previous Day High, Close, Low. This is our next level
VWAP : The rolling VWAP (volume weighted average price)
In the breakout/breakdown of the Open Range and Previous Day High/Low, we are taking the trade decisions as follows using CEST principle:
C onditions :
If current bar's (say you are in 5m timeframe) closing is broken out the Open Range High or Previous Day High, taken a Buy/Long decision (let's say buying a Call Option CE or selling a Put Option PE or buying the future or cash).
If current bar's (say you are in 5m timeframe) closing is broken down the Open Range Low or Previous Day Low, taken a Sell/Short decision (let's say buying a Put Option CE or selling a Call Option PE or selling the future or cash).
Additionally, and optionally (default ON, one can turn off): we are checking various other associated multiple confirmations as follows:
1. Momentum : Checking 14-period RSI value is more than 50 or less than 50 (all parameters like period, OB, OS ranges are configurable through settings)
2. Current bar's volume is more than the last 20 bars volume average. How much more - that multiplier is also configurable. (default is 1)
3. The breakout candle is bullish (green) or bearish (red).
E ntry :
All of these happens only on the closing of the candle . Means: Non Repainting! .
Clearly in the chart we are showing as green up arrow BO (breakout for buy) and red down arrow BD (breakdown for sell) to take your decision process smooth.
So, on the closing of the decision BO/BD candle we are entering the trade (with a thumping heart and nail biting ...)
S top Loss :
We are relying on the time tasted (last 40 years) mechanism of Average True Range (ATR) of default 14 period. This default period is also configurable.
So for Long trades: the 14 period ATR low band is the SL.
For Short trades: the 14 period ATR high band is the SL.
T arget :
We are depending on the thump rule of 1:2 Risk Reward. It's simple and effective. No fancy thing. We are closing the trade on double the favorable price movement compared to the SL placed. Of course, this RR ratio is confiurable from the settings, as usual.
What's Unqiue in it?
The utter simplicity of this trading mechanism. No fancy things like complex chart pattern, OI data, multiple candlestick patterns, Order flow analysis etc.
Simple level determination,
Marking clearly in the chart.
Making each parameter configurable in Settings and showing tooltip adjacent to the parameter to make you understand it better for your customization,
Wait for the candle close, thus eliminating the chances of repainting menace (as much as possible)
Additional momentum and volume check to trade entry confirmation.
Works with normal candlestick (nothing special ones like HA ...)
Showing everything as a Summary Table (which, again can be turned off optionally) overlaying at the bottom-right corner of the chart,
Optionally the Summary Table can be configured to alert you back (say you get it notified in your email or SMS).
That way, a single, simple, effective trade setup will ease your journey as smooth sail as possible.
Mentions
There are plenty of friends from whom time to time we borrowed some of the ideas while working closely together over last one year.
From tradingview community, we took the spirit of @zzzcrypto123 awesome work done long back (in 2020) as the indicator "ORB - Opening Range Breakout". (We tried to reach him for his explicit consent, unable to catch hold of him).
Some other publicly available materials we have consulted to get the additional checks (like RSI, volume).
Lat word
Use it please and thank you for your constant patronage in following us in this awesome platform. Let's keep growing together.
Disclaimer :
This piece of software does not come up with any warrantee or any rights of not changing it over the future course of time.
We are not responsible for any trading/investment decision you are taking out of the outcome of this indicator.
PivotThis library was designed to create three different datasets using Bill Williams fractals. The goal is to spot trends in reversal data and ultimately use these datasets to help predict future price reversals.
First, the pivot() function is used to initialize and populate three separate arrays (high pivot , low pivot , all pivots ). Since each high/low price depends on the bar_index, the bar_index, pivot direction(high/low), and high/low values are compressed into a string to maintain the data's integrity ("__"). Once each string array is populated and organized by bar_index, all three are returned inside a tuple. The return value must be deconstructed H,L,A =pivot() for each array's values to be accessed using getPivot() . This boilerplate allows for data to be accessed more efficiently in a recursive environment. getPivot() was designed to be used inside of a for or while block to populate matrices for further analyses. Again, getPivot() return values must be exposed through deconstruction. x,d,y =getPivot(). See code for more details.
pivot(int XLR) initializes and populates arrays
Parameters
XLR - number of bars to the left and right that must be lower for a high to be considered a pivotHigh, or vice versa. This number will drastically change the size and scope of the returned datasets. smaller values will produce much larger datasets, which might model short term price activity well. In contrast, larger values will produce smaller datasets which might model longer term price activity well.
Returns - tuple [string ]
getPivot(string arrayID, int index) accesses array data
Parameters
arrayID - the variable name for one of the three arrays returned by pivot().
index - the index of the provided array, with 0 being the most recent pivot point. can be set to " i " in a loop to access values recursively
Returns - tuple
Day High_Low levels with Candle high lowDay's high and low with Candle high low. It shows high and low of the day. Previous candle high and low is shown.
Pivot Based Trailing Maxima & Minima [LuxAlgo]This indicator returns trailing maximums/minimums and the resulting average, each resetting on the occurrence of a pivot point high/low, thus allowing to highlight past and current support and resistance levels.
Note that the user has the option to make the indicator subject to backpainting or not. Backpainting would offset the indicator output to the past and as such would be less suited for real-time applications.
🔶 USAGE
🔹 Non Backpainting
The indicator can highlight points of support and resistance given by the trailing maximum/minimum average.
An uptrend is indicated when the trailing maximum is making a new higher high, while a downtrend is indicated when the trailing minimum makes a new lower low.
🔹 Backpainting
When backpainting is enabled the historical trailing maximum/minimum and their resulting average are offset to the past. However, we extend these to the most recent bar, allowing for real-time applications of the indicator.
Users can easily analyze past trends and determine their type by observing the trailing maximum/minimum behavior. For example, trailing maximums/minimums not making new higher high/lower low would indicate a ranging market.
The frequency of new higher high/lower low can also help determine how bullish/bearish a trend was.
🔶 SETTINGS
Length: Determines the pivot high/low lookback, with higher values allowing to detect longer-term tops and bottoms.
Backpaint: Determine if the indicator is subject to backpainting. Enabling this setting would offset the returned results in the past.
Volatility/Volume ImpactWe often hear statements such as follow the big volume to project possible price movements. Or low volatility is good for trend. How much of it is statistically right for different markets. I wrote this small script to study the impact of Volatility and Volume on price movements.
Concept is as below:
Compare volume with a reference median value. You can also use moving average or other types for this comparison.
If volume is higher than median, increment positive value impact with change in close price. If volume is less than median, then increment negative value impact with change in close price.
With this we derive pvd and nvd which are measure of price change when volume is higher and lower respectively. pvd measures the price change when volume is higher than median whereas nvd measures price change when volume is lower than median.
Calculate correlation of pvd and nvd with close price to see what is impacting the price by higher extent.
Colors are applied to plots which have higher correlation to price movement. For example, if pvd has higher correlation to price movement, then pvd is coloured green whereas nvd is coloured silver. Similarly if nvd has higher correlation to price then nvd is coloured in red whereas pvd is coloured in silver.
Similar calculation also applied for volatility.
With this, you can observe how price change is correlated to high/low volume and volatility.
Let us see some examples on different markets.
Example 1: AMEX:SPY
From the chart snapshot below, it looks evident that SPY always thrive when there is low volatility and LOW VOLUME!!
Example 2: NASDAQ:TSLA
The picture will be different if you look at individual stocks. For Tesla, the price movement is more correlated to high volume (unlike SPY where low volume days define the trend)
Example 3: KUCOIN:BTCUSDT
Unlike stocks and indices, high volatility defined the trend for BTC for long time. It thrived when volatility is more. We can see that high volume is still major influencer in BTC price movements.
Settings are very simple and self explanatory.
Hint: You can also move the indicator to chart overlay for better visualisation of comparison with close price.
Closing MomentumClosing momentum calculates the moving averages of closes and highs vs previous highs plus those of closes and lows vs previous lows to create momentum moving averages. Closes above/below previous highs/lows are weighted more strongly than new high or low wicks above/below a previous highs or lows.
If momentum is up, the background will shade green; brighter is stronger. If momentum is down, likewise with red.
Shifts in momentum are indicated by symbols: triangles indicate a minor shifts, arrows moderate, big arrows major. Likewise, the shade of the symbols indicates strength (darker is stronger).
Using the indicator: long continuous stretches of the same color indicate trend - deeper is stronger. If the shade is lightening or clears and/or if symbols of the other color start appearing, the trend is weakening.
K's Volatility BandsVolatility bands come in all shapes and forms contrary to what is believed. Bollinger bands remain the principal indicator in the volatility bands family. K's Volatility bands is an attempt at optimizing the original bands. Below is the method of calculation:
* We must first start by calculating a rolling measure based on the average between the highest high and the lowest low in the last specified lookback window. This will give us a type of moving average that tracks the market price. The specificity here is that when the market does not make higher highs nor lower lows, the line will be flat. A flat line can also be thought of as a magnet of the price as the ranging property could hint to a further sideways movement.
* The K’s volatility bands assume the worst with volatility and thus will take the maximum volatility for a given lookback period. Unlike the Bollinger bands which will take the latest volatility calculation every single step of time, K’s volatility bands will suppose that we must be protected by the maximum of volatility for that period which will give us from time to time stable support and resistance levels.
Therefore, the difference between the Bollinger bands and K's volatility bands are as follows:
* Bollinger Bands' formula calculates a simple moving average on the closing prices while K's volatility bands' formula calculates the average of the highest highs and the lowest lows.
* Bollinger Bands' formula calculates a simple standard deviation on the closing prices while K's volatility bands' formula calculates the highest standard deviation for the lookback period.
Applying the bands is similar to applying any other volatility bands. We can list the typical strategies below:
* The range play strategy : This is the usual reversal strategy where we buy whenever the price hits the lower band and sell short whenever it hits the upper band.
* The band re-entry strategy : This strategy awaits the confirmation that the price has recognized the band and has shaped a reaction around it and has reintegrated the whole envelope. It may be slightly lagging in nature but it may filter out bad trades.
* Following the trend strategy : This is a controversial strategy that is the opposite of the first one. It assumes that whenever the upper band is surpassed, a buy signal is generated and whenever the lower band is broken, a sell signal is generated.
* Combination with other indicators : The bands can be combined with other technical indicators such as the RSI in order to have more confirmation. This is however no guarantee that the signals will improve in quality.
* Specific strategy on K’s volatility bands : This one is similar to the first range play strategy but it adds the extra filter where the trade has a higher conviction if the median line is flat. The reason for this is that a flat line means that no higher highs nor lower lows have been made and therefore, we may be in a sideways market which is a fertile ground for mean-reversion strategies.
Isolated PivotsThis script identifies potential price reversals at pivot high/low points using sets of 3 candles.
Pivot High: The middle candle must have a higher high and a higher low than the two outer candles.
Pivot Low: The middle candle must have a lower low and a lower high than the two outer candles.
Potential usage: When a market is moving higher in an uptrend, if a pivot low is identified then that might be a sign of price weakness.
High timeframe Highs, Lows, Opens, Closes. HTF Candles displayPosting previously requested indicator.
Overlays higher timeframe high and low over the current bars - pictured is daily high and low overlayed on lower timeframe chart.
Can be set to fill between the open and close to show higher timeframe candles by color, with bullish or bearish fills
Very versatile and can be used to display weekly or monthly opens, or used to display previous weekly highs and lows for charting out possible liquidity points, etc.
Originally converted from Chris Moody's HLOC pine version 2 indicator.
CPR_ATR_PIVOTIntroduction
What is so special about this variation of CPR is that it combines three indicators together. It has Central Pivot Range to understand market trend and for taking entry; Average True Range Stop line to identify the stop loss for any trade keeping in view volatility of the instrument; and Standard Pivot Points for profit targets. So overall it combines all essential ingredients for trading in a single indicator.
While CPR and Pivot values will remain fixed, the ATR period and multiple can be changed.
Central Pivot Range: is a useful intraday technical indicator which comprises 3 levels – a Central pivot point (pivot), Top central level (TC), and Bottom central level (BC).
These levels are calculated as follows:
TC = (Pivot – BC) + Pivot
Pivot = (High + Low + Close)/3
BC = (High + Low)/2
The 3 levels are calculated using 3 variables, High, Low, and Close price. When you add CPR levels in a stock’s chart, TC is highest, the pivot is at the center and BC is the lowest level. However, depending on market conditions TC’s value may be lower than BC.
The fundamental idea behind this indicator is that the particular day’s trading range captures everything about the market sentiment, and hence this range can be used to predict the price movement of the following days.
This indicator was first introduced by Mark Fisher in this book “The Logical Trader”. Frank Ochoa added another dimension, central pivot point to this indicator.
Practical Applications:
CPR Breakout:
Any high volume breakout above or below the TC and BC lines respectively indicates a high probability that the movement will continue.
CPR Width
The width of the CPR lines very accurately gives an idea of the expected price movement. If CPR width is narrow, that is the distance between TC and BC lines of CPR is very low, then it indicates a trending market. While if the distance between TC and BC lines is relatively higher it indicates sideways market.
CPR as Support and Resistance
CPR lines can also act as support and resistance. Market may takes support or resistance at the CPR and reverse.
ATR Stop: I am adding another useful indicator known as ATR stop with CPR. Once market takes support and resistance at the CPR, trade can be taken with stoploss under/above (as the case may be) the ATR stop line. It would help in absorbing the intraday volatility in a stock or instrument.
Pivot Points: Pivot points can be taken as target points where partial or full profit (depending upon market conditions and momentum) can be taken.
I hope this indicator would help some traders in taking better trading decisions.
Regards
jjsingh_2020
VWAP forex Yesterday Hi/Low update fix This script is an updte fix of an earlier script that stopped functioning when TradingView updated Pine script. This script plots Forex (24 hour session) VWAP, yesterday's high, low, open and close (HLOC),
the day before's HLOC -
Also plots higher timeframe 20 emas
1 minute 5, 15, 60 period 20 ema
5 minute 15, 60 period 20 ema
15 minute 60, 120 , 240 period 20 ema
60 minute 120, 240 period 20 ema
120 minute 240, D period 20 ema
240 minute D period 20 ema
Also signals inside bars (high is less than or equal to the previous bar's high and the low is greater than or equal to the previous low) the : true inside bars have a maroon triangle below the bar as well as a ">" above the bar.
If subsequest bars are inside the last bar before the last true inside bar they also are marked with an ">"
This is probably a slight variation from the way Leaf_West plots the inside bars.
It appears that he marks all bars that are inside the original bar until one a bar has a high or low
outside the original bar. But I would need to see an example on his charts.
The Time Session Glitch and the Fix FX_IDC, COINBASE and BITSTAMP:
The script will correctly default to 1700 hrs to 1700hrs EDT/EST session for FXCM.
Strangely some securities appear to erroneously start their session at 1200 hrs ie. My guess is that they are somehow tied to GMT+0 instead of New York time (GMT+5). See this for yourself by selecting EURUSD using the FXCM exchange (FX:EURUSD) and then EURUSD from the IDC exchange (FX_IDC:EURUSD). The FX-IDC session opening range starts 5 hours before it actually should at 1700 hrs EDT/EST. To correct for this I have implemented an automatic fix (default) and a user selected "5 hour time shift adjust. ment needed on some securities".
There is also a 4 hour time shift button which might be necessary when New York reverts from Eastern Standard Time to Eastern Daylight Time (1 hour difference) in March (and then back again in November). In the default auto adjust mode you will need to select the 1 hour time shift. That is if this glitch still exists at that time.
I have looked at other scripts, other than my own and where the script is available, that need to use information about the opening bar and all have the same time shift issue
COINBASE and BITSTAMP open at 0000 hours GMT. Since I use lines instead of circles or crosses I had to make a small adjustment to plot the lines correctly.
If it needs work let me know.
Jayy
