Volatility Range Breakout Strategy [wbburgin]The "Volatility Range Breakout Strategy" uses deviations of high-low volatility to determine bullish and bearish breakouts.
HOW IT WORKS
The volatility function uses the high-low range of a lookback period, divided by the average of that range, to determine the likelihood that price will break in a specific direction.
High and low ranges are determined by the relative volatility compared to the current closing price. The high range, for example, is the (volatility * close) added to the close, the low range is this value subtracted by the close.
A volatility-weighted moving average is taken of these high and low ranges to form high and low bands.
Finally, breakouts are identified once the price closes above or below these bands. An upwards breakout (bullish) occurs when the price breaks above the upper band, while a downwards breakout (bearish) occurs when the price breaks below the lower band. Positions can be closed either by when the price falls out of its current band ("Range Crossover" in settings under 'Exit Type') or when the price falls below or above the volatility MA (default because this allows us to catch trends for longer).
INPUTS/SETTINGS
The AVERAGE LENGTH is the period for the volatility MA and the weighted volatility bands.
The VOLATILITY LENGTH is how far the lookback should be for highs/lows for the volatility calculation.
Enjoy! Let me know if you have any questions.
Волатильность
Bollinger Band ribbonThis indicator plots 9 upper and lower lines with increasing length. Lines are 0.618 upper and lower level of Bollinger band.
Momentum-Adjusted Volatility Ratio (MAVR)The Momentum-Adjusted Volatility Ratio (MAVR) indicator is designed to help you understand the strength of price movements relative to the market's volatility. It combines the concepts of rate of change (ROC) and average true range (ATR) and then calculates their ratio, which is then smoothed using an exponential moving average (EMA). Here's a general guide on how to use the MAVR indicator:
Identify the trend: Look for the overall direction of the EMA of the MAVR. When the EMA is above the zero line, it indicates that the momentum is positive and the trend is generally bullish. Conversely, when the EMA is below the zero line, it indicates that the momentum is negative, and the trend is generally bearish.
Assess momentum strength: Pay attention to the distance between the EMA of the MAVR and the zero line. A larger distance indicates a stronger momentum, while a smaller distance suggests weaker momentum. If the EMA of the MAVR moves further away from the zero line, it indicates that the price movement is becoming more robust relative to the market's volatility.
Look for potential entry and exit signals: When the EMA of the MAVR crosses the zero line, it could provide a potential trading signal. For instance, a cross from below to above the zero line may indicate a potential buying opportunity, while a cross from above to below the zero line may signal a potential selling opportunity. Keep in mind that the MAVR indicator should not be used in isolation, and it's essential to combine it with other technical analysis tools and risk management techniques.
Monitor for divergences: Sometimes, the price and the EMA of the MAVR can show divergences. For example, if the price makes a higher high while the EMA of the MAVR makes a lower high, it could signal a bearish divergence, suggesting a potential trend reversal. Similarly, if the price makes a lower low while the EMA of the MAVR makes a higher low, it could indicate a bullish divergence, suggesting a possible trend reversal.
Remember that no indicator is perfect, and the MAVR should be used in conjunction with other technical analysis tools and a solid trading strategy to increase the chances of success. Always use proper risk management techniques to protect your capital.
Swing Data - ADR% / RVol / PVol / Float % / Avg $ VolThis table presents consolidated data that swing traders can refer to quickly for their benefit. I am of the firm belief that the information provided in this uncomplicated table is precisely what you require to optimize your trading efficiency, and ultimately, profitability.
The data includes;
1. Market Capitalization - a measure of the total value of a publicly traded company's outstanding shares.
2. Float % - the percentage of a company's outstanding shares that are available for trading on the open market. It is calculated by dividing the number of a company's outstanding shares that are available for trading on the open market by the total number of outstanding shares. A lower float percentage generally means that there are fewer shares available for trading, which can lead to increased volatility in the stock price. On the other hand, a higher float percentage generally means that there are more shares available for trading, which can lead to greater stability in the stock price.
3. ADR% - a technical analysis indicator that measures the average daily price movement as a percentage of its current price. It is calculated by taking the difference between the average high and low prices for a time period, and then dividing it by the current price. The resulting value is then multiplied by 100 to give the ADR% for that day. The ADR% can be useful for traders to assess the potential volatility of a stock. A higher ADR% indicates a greater potential for price movement.
4. ATR - measures the range of price movements of an asset over a specified period of time, taking into account any gaps in price. It is calculated by taking the highest value of the following three values:
The difference between the current high and the current low
The absolute value of the difference between the current high and the previous close
The absolute value of the difference between the current low and the previous close
The resulting value is then averaged over the specified period of time to create the ATR value. This indicator is reflects the average volatility of the asset over the specified period of time.
5. LoD dist. - also refer to Low Of Day distance, a range level gauge of current price based on historical volatility of the price movement, in this case I use ATR. for the historical volatility. Please find below as example for the calculation.
eg. LoD dist. = 104%
Current price (A) = $24.49
Low Price (B) = $22.16
Difference (A) - (B) = $2.33
ATR = $2.25
LoD dist = $2.33 / $2.25 = 103.55% (round up to nearest whole number = 104%)
6. Average Daily $ Volume - used to measure the average amount of money that is traded in a stock or a security over a particular period of time, typically a day. It is calculated by multiplying the average daily trading volume of a security by its average price.
7. Average Daily Volume - used to measure the average no. of share that is traded in a stock or a security over a particular period of time, typically a day.
8. Projected Volume - an estimate of the total volume of trading activity that is expected to occur for the day (from the specific time data), based on an average volume over a specific period of time. Projected volume can be used by traders and investors to help make informed decisions about buying or selling securities, and can also be used as an indicator of market sentiment and volatility. However, it's important to note that projected volume is an estimate and actual trading activity may vary.
9. Relative Volume - a measure of the volume of a stock that is trading at the specific time, relative to its average trading volume over a longer period. It is expressed as a percentage and is often used by traders and investors to identify stocks that are trading with higher or lower than usual volume.
Yesterday’s High Breakout - Trend Following StrategyYesterday’s High Breakout it is a trading system based on the analysis of yesterday's highs, it works in trend-following mode therefore it opens a long position at the breakout of yesterday's highs even if they occur several times in one day.
There are several methods for exiting a trade, each with its own unique strategy. The first method involves setting Take-Profit and Stop-Loss percentages, while the second utilizes a trailing-stop with a specified offset value. The third method calls for a conditional exit when the candle closes below a reference EMA.
Additionally, operational filters can be applied based on the volatility of the currency pair, such as calculating the percentage change from the opening or incorporating a gap to the previous day's high levels. These filters help to anticipate or delay entry into the market, mitigating the risk of false breakouts.
In the specific case of NULS, a 9% Take-Profit and a 3% Stop-Loss were set, with an activated trailing-stop percentage. To postpone entry and avoid false breakouts, a 1% gap was added to the price of yesterday's highs.
Name : Yesterday's High Breakout - Trend Follower Strategy
Author : @tumiza999
Category : Trend Follower, Breakout of Yesterday's High.
Operating mode : Spot or Futures (only long).
Trade duration : Intraday.
Timeframe : 30M, 1H, 2H, 4H
Market : Crypto
Suggested usage : Short-term trading, when the market is in trend and it is showing high volatility.
Entry : When there is a breakout of Yesterday's High.
Exit : Profit target or Trailing stop, Stop loss or Crossunder EMA.
Configuration :
- Gap to anticipate or postpone the entry before or after the identified level
- Rate of Change for Entry Condition
- Take Profit, Stop Loss and Trailing Stop
- EMA length
Backtesting :
⁃ Exchange: BINANCE
⁃ Pair: NULSUSDT
⁃ Timeframe: 2H
⁃ Fee: 0.075%
⁃ Slippage: 1
- Initial Capital: 10000 USDT
- Position sizing: 10% of Equity
- Start : 2018-07-26 (Out Of Sample from 2022-12-23)
- Bar magnifier: on
Credits : LucF for Pine Coders (f_security function to avoid repainting using security)
Disclaimer : Risk Management is crucial, so adjust stop loss to your comfort level. A tight stop loss can help minimise potential losses. Use at your own risk.
How you or we can improve? Source code is open so share your ideas!
Leave a comment and smash the boost button!
Thanks for your attention, happy to support the TradingView community.
Adaptive Channel BreakoutIntroducing the "Adaptive Channel Breakout" indicator, an advanced charting tool that employs the acb function from the PeacefulIndicators library. This powerful indicator helps traders detect potential breakouts and trends by displaying an adaptive channel on the chart.
Key features of the Adaptive Channel Breakout indicator include:
Customizable input parameters: Adjust the moving average length, volatility length, and multiplier to suit your trading preferences and strategy.
Utilizes the acb function from the PeacefulIndicators library, which calculates the adaptive channel using a simple moving average (SMA) and standard deviation to measure volatility. The function also tracks the trend direction based on price crossovers and crossunders.
Clear visual representation: The adaptive channel is displayed as a linebr plot, with the color indicating the current trend direction (green for uptrends and red for downtrends).
Trend signals: The indicator includes up and down arrow labels that signify potential trend reversals, providing traders with valuable entry and exit points.
Overlay functionality: Designed to be displayed directly on the price chart for easy analysis and correlation with price action.
To use the Adaptive Channel Breakout indicator, simply add the script to your chart and customize the input parameters as needed.
Weighted VolatilityIntroducing the "Weighted Volatility" indicator, a powerful tool that incorporates the PeacefulIndicators library to measure the price volatility and volume in the market. This indicator is designed to help you detect potential opportunities and enhance your trading analysis.
The Weighted Volatility indicator offers the following features:
Adjustable input parameters, allowing you to modify the source (close by default) and the length parameter to suit your trading style and preferences.
A visually clear display, with the Weighted Volatility line in blue and a horizontal line at zero, making it easy to interpret the indicator's signals.
The core functionality of the Weighted Volatility indicator is powered by the weighted_volatility_oscillator function from the PeacefulIndicators library, ensuring accurate and reliable results.
To start using the Weighted Volatility indicator in your trading analysis, simply add the script to your chart and customize the input parameters as needed. We hope this script, built upon the PeacefulIndicators library, proves to be a valuable addition to your trading strategy.
Trend Reversal DetectionIntroducing the "Trend Reversal Detection" indicator, a sophisticated and user-friendly script that utilizes the PeacefulIndicators library to identify potential trend reversals in the market. This indicator is designed to help you stay ahead of market changes and enhance your trading analysis.
The Trend Reversal Detection indicator offers the following features:
Customizable input parameters, allowing you to adjust the Rate of Change (ROC) length, Moving Average (MA) length, and MA type (SMA, EMA, or WMA) according to your trading preferences and style.
A visually intuitive display, using orange and blue markers to indicate potential trend reversals, making it easy to interpret the indicator's signals.
The core functionality of the Trend Reversal Detection indicator is powered by the trendReversalDetection function from the PeacefulIndicators library, ensuring accurate and reliable reversal detection.
To start using the Trend Reversal Detection indicator in your trading analysis, simply add the script to your chart and customize the input parameters as needed. We hope this script, built upon the PeacefulIndicators library, proves to be a valuable addition to your trading strategy.
BitcoinSwingTrader 1-5-15minThis script can be used on various trading pairs and assets, including BTC/USDT, it has been observed to perform better on BTCUSDT due to its unique price behavior and volatility. The indicator is designed to identify potential support and resistance levels and generate buy or sell signals based on the relationship between price and a weighted average middle line, which is particularly effective on BTCUSDT. However, traders should exercise caution and consider additional factors such as market trends, news events, and risk management strategies when making trading decisions.
VIX Futures Spread StrategyThis script was an exercise in learning Pinescript and exploring the futures curve of the VIX in relation to SPY. Was deleted by TV, trying to republish it now with updated parameters for slippage and commission and a more detailed description.
"VIX Futures Spread Strategy" is a trading strategy that capitalizes on the spread between the 3-month VIX futures (VIX3M) and the spot VIX index. This strategy is based on the idea that the VIX futures spread can serve as a contrarian indicator of market sentiment, with extreme negative spreads potentially signaling oversold conditions and opportunities for long positions.
Ordinarily the VIX curve is in contango as futures contracts are priced at a premium to the current spot price and are used to hedge future uncertainty in the market. When the spot price of VIX spikes the curve can invert and enter backwardation; this strategy detects this condition and uses it as a trigger to open a long position in SPY. The spread going negative tends to correlate with excessive fear and uncertainty in the short term while expecting lower volatility in the long term, in this case 3 months out.
The strategy is designed to enter a long position when the VIX futures spread is negative and to exit the position when the spread rises above 3 -- when the curve is in contango again. The strategy employs a pyramiding approach, allowing up to 10 additional orders to be placed while the entry condition is met, with each order consisting of 10 contracts. This approach aims to maximize potential profits during periods of favorable market conditions.
In this strategy, the VIX futures spread is calculated as the difference between the 3-month VIX futures (VIX3M) and the spot VIX index. The spread is plotted as a histogram on the chart, with the zero line representing no spread, and horizontal lines at 0 and 3 indicating the entry and exit thresholds, respectively.
The strategy's backtesting settings use an initial capital of HKEX:10 ,000, a commission of 0.5% per trade, and a maximum of 10 pyramiding orders, and a slippage of 2 ticks.
Please note that this strategy is intended for educational purposes and should not be considered as financial advice. Before using this strategy in live trading, make sure to thoroughly test and optimize its parameters to suit your risk tolerance and specific trading conditions.
Deviations from ARL (DARL)Similar to Bollinger Bands, this indicator uses standard deviations but from Adaptive Rebound Lines (See: 'ARL').
The adaptiveness of the 'ARL' is further affected by volatility and helps greatly in spotting the possible strength and direction of rebounds.
All this information is presented with minimal lag thanks to the rebound qualities of the 'ARL' adapting to market volatility.
----- HOW TO USE IT -----
1) Use with 1h time frame.
2) Smaller width typically means that price will be moving is smaller movements.
3) Small price movements while the width is increasing typically means that a large price move will occur soon.
4) Larger width typically means that price will be moving in larger movements.
5) Very large width with sideways price typically means that the price will have a bias towards the center.
Note: A V-Offset of 1 is also a good setting alternative for this indicator.
----- HOW THIS INDICATOR IS ORIGINAL; WHAT IT DOES AND HOW IT DOES IT -----
This indicator has an original, unique ability in anticipating the strength and direction of a price rebound while at the same time showing the bias of the rebound with minimal lag.
It does this by letting the adaptive qualities of the 'ARL' be affected by market volatility, not just by price movement alone.
----- VERSION -----
This indicator is not a variation, replacement, or presentation of the 'ARL' or the 'ARL' Bands -- it merely derives its base calculations for standard deviations from the 'ARL'.
However, this indicator affects the calculations of the standard 'ARL' with volatility and creates a new, unique calculation.
It thus presents a totally different context for price action.
A standard 'ARL' helps in finding possible rebounds but it does not help in finding the strength of them or the directional bias of a rebound.
This is because a standard 'ARL' is more negligent of market volatility and adapts to price movement alone.
In contrast, this indicator does help in anticipating the strength and direction of the rebound because it adapts deviations from an 'ARL' to market volatility.
Therefore, the lines cannot be adjusted individually but in pairs and only further from their respective, mirroring lines.
BB_MDL_V1Simple indicator that is based on the average line of the bollinger bands and the exponential average of 200 periods.
The customizable variable is bollinger bands length, currently the default is 35, you can tweak it to your liking and see how trend identification changes.
My recommendation is to work in 5-minute time frames in values such as SOL, FTM or MASK (cryptos)
This simple strategy can be combined with many others to gain more insight and get better market entries and exits.
Historical VolatilityThis script calculates the historical volatility of a given market using the standard deviation of its returns over a specified lookback period.
The indicator also includes a volatility Simple Moving Average (SMA), a VIX SMA, and the VIX index as reference market.
The script uses the inputs from the user to adjust the calculation, such as lookback period, volatility SMA period, and reference market.
The Historical Volatility indicator can be a useful tool for traders and investors who want to measure the degree of variation of a market's price over time, which can help them to better understand market trends and potential risks. This script is licensed under the Mozilla Public License 2.0, which means that it can be used, modified, and distributed under the terms of this license.
BinanceUS WicksSo we have noticed some crazy wicks from Binance Us exchange since top, which really directed market after on, so decided to make a simple Indicator to plot those candles on my Btc chart instead of checking Binance us manually .
there is no thing special about the setting , there is only an input which is the div between spot and binanceus low or high wick.
the main reason i made this to have an alert , for both down and up wick , since the indicator has alert condition ..
RSI-ROC Momentum AlertThis is the RSI-ROC Momentum Alert trading indicator, designed to help traders identify potential buy and sell signals based on the momentum of price movements.
The indicator is based on two technical indicators: the Rate of Change (ROC) and the Relative Strength Index (RSI). The ROC measures the speed of price changes over a given period, while the RSI measures the strength of price movements. By combining these two indicators, this trading indicator aims to provide a comprehensive view of the market momentum.
An RSI below its oversold level, which shows as a green background, in addition to a ROC crossing above its moving average (turns green) signals a buying opportunity.
An RSI above its overbought level, which shows as a red background, in addition to a ROC crossing below its moving average (turns red) signals a selling opportunity.
Traders can use this indicator to identify potential momentum shifts and adjust their trading strategies accordingly.
The ROC component of the indicator uses a user-defined length parameter to calculate the ROC and a simple moving average (SMA) of the ROC. The color of the ROC line changes to green when it is above the ROC SMA and to red when it is below the ROC SMA. The ROC SMA color changes whether it's above or below a value of 0.
The RSI component of the indicator uses a user-defined length parameter to calculate the RSI, and user-defined RSI Low and RSI High values to identify potential buy and sell signals. When the RSI falls below the RSI Low value, a green background color is applied to the chart to indicate a potential buy signal. Conversely, when the RSI rises above the RSI High value, a red background color is applied to the chart to indicate a potential sell signal.
This indicator is intended to be used on any time frame and any asset, and can be customized at will.
Days in rangeThis script is a little widget that I made to do some homework on the VIX.
As you can see in the chart I was analyzing the 2008 market crash and the stats that followed it after until the market started to recover.
You can see that theory in my "Ideas" tab.
This is an interactive set of lines that you can use to count the the bars inside and outside of your chosen range, and the percentage outside that range.
You should initially enter the price range of your product in the menu and set some arbitrary dates that you can easily see on your chart.
Drag and drop the lines around to suit what price and the dates you are analyzing.
The table will display the bar count inside and outside of the range, the total bars, and the percentage outside that range.
I personally used this as a tool to study the overall average of the product, compared with the behavior during major market events.
It is currently my opinion that post 2020 analysis needs to take into account the behavior of any given product prior to 2020 when the
VIX was in its comfort zone. Not to say that a price valuation hasn't been set, but that the movement to that price was outside of "Normal Market Conditions,"
and the time factor to return to that value might be skewed. Other factors would need to be considered at that point pertaining to your specific product or corelating indicator.
I could see this tool being useful to Forex and commodities traders. But that isn't my field so that that for what it is. I do think it would perform best on something that is more
pegged to a price range. I personally would use it on product's, like the VIX, that I use as an indicator product. That is what it was designed for.
But I suppose it could be used for Mean price and time related analysis, maybe with a Vwap, SMA or other breakout style indicators.
Volume analysis might be pretty sporty. Possibly time patterns... the possibilities could be endless. Or... limited.
I am publishing this for my trade group so that it can be tinkered with to find other helpful ways to use it.
If anyone finds something interesting with other indicators, please drop a comment below and I could consider creating a script to integrate with this tool.
Net Positions (Net Longs & Net Shorts) - By LeviathanThis script is an experimental indicator that visualizes the entering and exiting of long and short positions in the market. It also includes other useful tools, such as NL/NS Profile, NL/NS Delta, NL/NS Ratio, Volume Heatmap, Divergence finder, Relative Strength Index of Net Longs and Net Shorts, EMAs and VWMAs and more.
To avoid misinterpretation, it's important to understand some basics. The “real” ratio between net long and net short positions in a given market is always 1:1. A futures contract is an agreement between two parties to buy or sell an underlying asset at an agreed-upon price. Each contract has a long side and a short side, with one party agreeing to buy (long) and the other party agreeing to sell (short) the asset at the agreed-upon price. The long position holder anticipates that the asset's price will rise, while the short position holder expects it to fall. Because every futures contract involves both a buyer and a seller, it is impossible to have more net longs than net shorts or vice versa (in terms of the net value). For every long position opened, there must be a corresponding short position taken by another market participant (and vice versa), thus maintaining the 1:1 ratio between longs and shorts. While there can be an imbalance in the number of traders/accounts holding long and short contracts, the net value of positions held on each side remains 1 to 1.
Open Interest (OI) is a metric that tracks the number of open (unsettled) contracts in a given market. For example, Open Interest of 100 BTC means that there are currently 100 BTC worth of longs and 100 BTC worth of shorts open in the market. There may be more traders on one side holding smaller positions, and fewer traders on the other side holding larger positions, but the net value of positions on one side is equal to the net value of positions on the other side → 100 BTC in longs and 100 BTC in shorts (1:1). Consider a scenario in which a trader decides to open a long position for 1 BTC at a price of HKEX:30 ,000. For this long order to be executed, a counterparty must take the opposite side of the contract by placing an order to short 1 BTC at the same price of HKEX:30 ,000. When both the long and short orders are matched and executed, the open interest increases by 1 BTC, reflecting the addition of this new contract to the market.
Changes in Open Interest essentially tell us 3 things:
- OI Increase - new positions entered the market (both longs and shorts!)
- OI Decrease - positions exited the market (both longs and shorts!)
- OI Flat - no change in open positions due to low activity or simply lots of transfers of contracts
However, different concepts can be used to analyze sentiment, aggressiveness, and activity in the market by analyzing data such as Open Interest, price, volume, etc. This indicator combines Open Interest data and price action to simplify the visualization of positions entering and exiting the market. It is based on the following concept:
Increase in Open Interest + Increase in price = Longs Opening
Decrease in Open Interest + Decrease in price = Longs Closing
Increase in Open Interest + Decrease in price = Shorts Opening
Decrease in Open Interest + Increase in price = Shorts Closing
When "Longs Opening" occurs, the OI Delta value is added to the running total of Net Longs, and when "Longs Closing" occurs, the OI Delta value is subtracted from the running total of Net Longs.
When "Shorts Opening" occurs, the OI Delta value is added to the running total of Net Shorts, and when "Shorts Closing" occurs, the OI Delta value is subtracted from the running total of Net Shorts.
To summarize:
Net Longs: Cumulative value of Longs Opening and Longs Closing (LO - LC)
Net Shorts: Cumulative value of Shorts Opening and Shorts Closing (SO - SC)
Net Delta: Net Longs - Net Shorts
Net Ratio: Net Longs / Net Shorts
This is the fundamental logic of how this script functions, but it also includes several other tools and options. Here is an overview of the settings:
Type:
- Net Positions (display values of Net Longs, Net Shorts, Net Delta, Net Ratio as described above)
- Relative Strength (display Net Longs, Net Shorts, Net Delta, Net Ratio in the form of a momentum oscillator that measures the speed and change of movements. Same logic as RSI for price)
Display as:
- Candles (display the data in the form of candlesticks)
- Lines (display the data in the form of candlesticks)
- Columns (display the data in the form of columns)
Cumulation:
- Visible Range (data is cumulated from the first visible bar on your chart)
- Full Data (data is cumulated from the beginning)
Quoted in:
- Base Currency (all data is presented in the pair’s base currency eg. BTC)
- Quote Currency (all data is presented in the pair’s quote currency eg USDT)
OI Sources
- Pick the sources from where the data is collected (if available).
Net Positions:
- NET LONGS (show/hide Net Longs plot, choose candle colors, choose line color)
- NET SHORTS (show/hide Net Shorts plot, choose candle colors, choose line color)
- NET DELTA (show/hide Net Delta plot, choose candle colors, choose line color)
- NET RATIO (show/hide Net Ratio plot, choose candle colors, choose line color)
Moving Averages:
- Type (choose between EMA and Volume Weighted Moving Average)
- NET LONGS (show/hide NL moving average plot, choose length, choose color)
- NET SHORTS (show/hide NS moving average plot, choose length, choose color)
- NET DELTA (show/hide ND moving average plot, choose length, choose color)
- NET RATIO (show/hide NR moving average plot, choose length, choose color)
Profile:
- Profile Data (choose the source data of the profile)
- Value Area % (set the percentage width of profile’s value area)
- Positions (set the position of the profile to left or right of the visible range)
- Node Size (set the relative size of nodes to make them appear smaller or larger)
- Rows (select the amount of rows displayed by the profile to control granularity)
- POC (show/hide POC- Point Of Control and select its color)
- VA (show/hide VA- Value Area and select its color)
Divergence finder
- Source (choose the source data used by the script to compare it with price pivot points)
- Maximum distance (the maximum distance between two divergent pivot points)
- Lookback Bars Left (the number of bars to the left of the current bar that the function will consider when looking for a pivot point)
- Lookback Bars Right (the number of bars to the right of the current bar that the function will consider when looking for a pivot point)
Stats:
- Show/Hide the Stats table
- Bars Back (choose the length of data analyzed for stats in number of bars)
- Position (choose the position of the Stats table)
- Select Data you want to display in the Stats table
Additional Settings:
- Volume Heatmap (show/hide volume heatmap and select its color)
- Label Offset (select how much the plot label is shifted to the right
- Position Relative Strength Length (select the length used in the calculation)
- Value Label (show/hide OI Delta values when candles are displayed)
- Plot Labels (show/hide the labels next to the plot)
- Wicks (show/hide wick when candles are displayed)
Code used for generating profiles is taken from @KioseffTrading's "Profile Any Indicator" script (used with author's permission)
Extended Session High/Low - Intraday and daily chartsThis script plots the extended session highest high and lowest low levels. It works on any time frame from 1 minute to daily.
Please note that during the extended session, TradingView stops updating the daily chart. This means that once the script is loaded on a daily chart, it will not be updated until the market opens, unless you manually reload the layout (Ctrl+R). For this reason, it is recommended to use a multi-timeframe layout, so when the pre/post market line is near the extended session high/low on the daily chart, you can compare these values with those on an intraday chart of the same ticker.
The extended session high/low are important for day traders because they represent the maximum and minimum limits within which the trades have taken place during the extended trading hours. This can make them levels of support/resistance that can be useful for planning trend following, reversal and range-bound strategies.
By displaying the extended session high/low on the daily chart, traders can also see if there are any significant levels nearby that are related to the daily time frame, such as trendlines, support/resistance levels, or moving averages. This can help the trader evaluate whether there is enough room for a price movement in the direction of his trading strategy.
Short Sale Restriction (SSR) Level - Intraday and daily chartsThis script plots the Short Sale Restriction (SSR) Level relative to the previous day's closing price. It works on any time frame from 1 minute to daily, showing the correct level even during the extended session.
The Short Sale Restriction (SSR) is a rule of the Securities and Exchange Commission (SEC) that restricts traders from short-selling stocks that are rapidly decreasing in value in an attempt to profit from the price drop. The rule was introduced in 2010, after the 2008 financial crisis, to prevent market manipulation and excessive volatility.
The SSR works as follows: when the price of a particular stock drops 10% compared to the previous day's closing price, the SSR is triggered and a temporary limitation is imposed on traders' ability to short-sell that stock for the rest of the trading day and the following day. During the SSR activation period, traders can still short-sell, but only if the sale is "covered" by another long position on the same stock.
Knowledge of the SSR level is especially important for day traders because it helps them to plan their trading strategies in advance, avoiding situations where short-selling becomes more difficult. Additionally, if a stock has exceeded the SSR threshold, traders can expect an increase in price volatility.
Murder Algo Stats: last portion of Indices closing hour (S&P)Stats regarding the 'murder algo' (last 10mins of the closing hour). Works on all sub-1hr timeframes. Best used on 5min, 10min 15min timeframe. Ideal use on 10min timeframe.
Can be applied to other user input sessions also
What i'm calling the 'Murder Algo' is the tendency of dynamic lower time frame price action in the final 10minutes of the S&P closing hour (or any of the three major US indices: S&P, Nasdaq, Dow).
If there are un-met liquidity targets (i.e. clean highs or lows) as we come into the last portion of the closing hour, price has a tendency to stretch up or down to reach these targets, swiftly.
These statisitics are somewhat experimental/research; trying to quantify this tendency. Please comment below if you think of some additions / modifications that may prove useful.
//Purpose:
-To get statistics of the tendency to 'reach' of the final bar (10minute bar in the above) of the closing hour in Indices (3pm - 4pm NY time).
-Specifically to see how often price reaches for HH or LL in the final bar of the closing hour (most of the time); and to see how far it reaches one way when it does (Mean, median, mode).
//Notes:
-Two sets of historical stats; one is based on the 'solo reach' of the last bar; the other is based on the reach of the last bar from the average price of the preceding bars of the session (purple line in the above)
-Works on any timeframe below hourly. Ideally used on 10min timeframe, but may be interesting to plot on 15min or 5min timeframe also.
-Should also work on custom user-defined session; though this indicator was explicly designed to investigate the 'murder algo': that final rush and/or whipsaw tendency of price in the last few minutes of Regular trading on Indices.
-For S&P, best used on SPX, which gives the longest history of all the S&P variants due to only showing Regular trading hours bars (500 days of history on 10min timeframe, for premium users)
-For most stats, i've rounded to ES1! mintick (i.e. rounded to nearest quarter dollar) =>> This allows more meaningful values for 'mode' statistical measure.
-I trade S&P; but this 'muder algo' phenomenon also obviously presents in Nasdaq and Dow.
//User Inputs:
-Session time input (defaults to closing hour 3pm - 4pm NY time)
-Average method (for the average of all the input session EXCEPT the final bar)
-Toggle on/off Average line.
-other formatting options: text color, table position, line color/style/size.
Example usage with annotations on SPX 500 chart 15m timeframe; using closing hour (3pm-4pm NY time) as our session:
ATR by ChampBoyThis is a simple indicator that takes into account the volatility of candles and contains an error setting. Setting the error allows you to bring the value of the indicator closer to real data and detect the stock of the price movement or its absence in time. Just look at history.
Attention! After adding the indicator:
1. Click on the three dots next to the indicator name7
2. Select "move" and "move up" to make it appear on the bar/candle bar
3. Also go to "three points" and select "pin to scale" -> select "pin to right".
Now more about the setup:
Candle Length - length of bars/candles. I use 3 for more reliable information.
Smooth Length - smoothing. I use 2 for noise reduction.
Data - this is the data of the candle. I use candle close
Current/Last - drawing comes from opening the current one or closing the previous one. I use 0 - the opening of the current bar.
Percent High – this parameter is about excluding bars from the calculation, which exceed X times. I am using 1.8
Percent Low - similar, but with the exception of bars that are X times smaller. I am using 0.5.
Error - error setting. I use 30 to 42.
In any case, you can customize for yourself.
На русском языке:
Это простой индикатор, который учитывает волотильность свечей и содержит настройку погрешности. Настройка погрешности позволяет приблизить значение инидикатора к реальным данным и во время обнаружить запас хода цены или его отсуствие. Достаточно посмотреть на историю.
Внимание! После добавления индикатора:
1. Нажмите на три точки рядом с названием индикатора7
2. Выберите "переместить" и "переместить выше", чтобы он появился на панели баров/свечей
3. Также зайдите "в три точки" и выберите "закрепить на шкале" -> выберите "закрепить справа".
Теперь подробнее о настройке:
Candle Length - длина баров/свечей. Я использую 3 для более достоверной информации.
Smooth Length - сглаживание. Я использую 2 для убирания шума.
Data - это данные свечи. Использую закрытие свечи
Current/Last - прорисовка идет от открытия текущей или закрытия предыдущей. Я использую 0 – открытие текущего бара.
Percent High – этот параметр про исключение баров из подсчета, которые превышают в Х раз. Я использую 1.8
Percent Low - аналогично, но исключение баров, которые меньше в Х раз. Я использую 0.5.
Error - настройка погрешности. Я использую от 30 до 42.
В любом случае, вы можете настроить под себя.
Concept Probability ConeThe Concept Probability Cone is a mathematical indicator designed to demonstrate the potential price range of an asset based on its historical volatility and statistical probabilities. Unlike most publicly available probability cone scripts, which often contain inaccuracies and oversimplifications, this tool is developed with a strong focus on precision and accuracy. It is important to note, however, that the Concept Probability Cone is currently in its initial stage, and further improvements and refinements may be introduced over time.
One significant difference between the Concept Probability Cone and other publicly available scripts is the incorporation of inverse Cumulative Distribution Functions (CDFs) in its calculations. Inverse CDFs are used to map a random variable's probability distribution to its corresponding quantile, which helps in determining the asset's price boundaries with a higher level of precision. This key feature sets the Concept Probability Cone apart from other tools, addressing the flaws found in many existing probability cone scripts.
This is a proof of concept indicator. Users are encouraged to play around with the tool, explore its features, and gain a deeper understanding of the statistical principles it demonstrates.
Scalper's toolkit - ATR WidgetWidget specifically designed for scalping. Many settings to fit the instrument and view preferences to make it fit into your chart window how you like, even on mobile.
** I have 5 other features to add into this in the very near future, as I use this as my primary tool for Risk reward. This script will be updated in the near future as more features are coded into it. See bottom for notes on plans
Features:
Displays a quick view of the ATR value on the chart, in decimal PIPs or directly in Points - a key value for scalping using the DOM for point value settings and one click trading on fast time frames.
Automatic calculation of stop and target distance for a predetermined Risk Reward Ratio (Set with the settings panel), and then also displayed in PIPs or Points for easy use in quick trading.
Works on most all instruments/pairs/cryptos with multiple precision levels for correct values to be shown in the widget.
Fully customizable -
ATR period Base setting, just like a normal ATR indicator
Display in : PIPs or Points
ATR based stop distance, using a multiplier. 2 is the most common multiplier used, and the default setting.
Risk Reward Calculation using the Stop Loss value.
-Quickly helps with proper target and stop sizing for the volatility in the price on the current trade entry point.
-Set to any ratio you wish, from 1:0.1 all the way to 1:100 or more, unlimited R ratio settings to fit your strategy and risk tolerances.
Position anywhere on the chart window with 9 preset locations available (Pine script limitation)
Show as a column layout or a row layout
Customize the Size, with 5 preset widget sizes, from tiny to huge (Pine script limitation)
-Mobile Friendly - Tiny or Small may be too small on PC, but can be used for Mobile so the widget does not become too large over the chart.
Custom text, background, and boarder colors
Custom Boarder Size - 0 size is no boarder
Set up:
-Open the settings panel.
First section is the basic settings for the ATR - the length (Default is 14) and to use a PIP value display, or Point value display.
Here you also see a "Precision" Setting. **Because each instrument returns different precision ATR values, it is difficult to determine with code what those values will be ahead of time to do the math in the background. Even some 2 decimal instruments return 5 decimal ATR values, so this setting filters that** Just use the dropdown and choose how many decimal places the instrument has from 2 - 5 decimals
The second section is for risk and reward calculations, and can be disabled if you do not want to see these values.
The first value is the "ATR Multiplier" Typically, a 2x multiplier is used on the ATR to determine how far away to place your stop loss from the entry, placing it out of harm's way from normal market activity.
The second value is the Reward target distance, based from the stop loss size. This quickly calculates your target to match your intended reward ratio, saving some manual work to calculate this by hand every trade.
** Note: because of the math used in the code, you may see odd values on some instruments, like indexes. If you have the precision correct, try changing the "Show in Pips" to "Show in Points", as this may solve the issue.
The last two sections are purely for how the widget looks and how/where it shows on the screen. These can be set however you like. To have no boarder, just set the "Frame size" value to 0.
Additional Updates planned:
Pip value calculation (2 feature uses)
-This will serve 2 purposes. The widget will calculate the value of the trade based on the lot size. It will also have a risk limit, so if the ATR get's too high for the current risk settings, It will show red to warn you of a high risk situation before you trade.
Example, you have a set limit of 3 dollars per trade using .02 lot sizing. If the ATR get's too high, The Stop value will be more risk than you would like to use at that trade sizing. Reduce the trade size, or wait for ATR to come lower.
Purpose 2: lot size calculation, so if you wanted to maximize the use of risk available. If you wanted to risk 600 for example, it would use the ATR you have set for the risk, and determine the proper lot size for the amount of volatility in the market. This way, you Risk Exactly, or as close as possible to 600 for the the current trade conditions.
Extra use for this value: Show the Current trade amounts at risk and for gain in money values on the side of the pip/point value. Know what you're risking and also trading for in monetary value.
ATR candle Comparison- Early momentum Detection (2 feature uses)
Will show an additional section on the bottom of the widget to show how each candle compares to the one before, up to the last 5, and show if ATR went down, up, or stayed the same over the last 5 candles.
Show an additional symbol to indicate the current candle status in comparison to the close of the last candle. Real time of if the ATR is getting larger, smaller, or staying the same.
