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Historical

Session Probability Grid [JOAT]Session Probability Grid Introduction Session Probability Grid is an open-source session auction map. It builds percent-based ladder levels from the active session open, tracks historical hit behavior for those levels, and displays probability-style context for expansion, exhaustion, and unusual session movement. The problem it solves is session framing. Traders often know the open is important, but they may not know whether a move is normal for the current symbol and timeframe. This scri
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von officialjackofalltrades
Historical IQBy:MasterTonyTA --- **Historical IQ— Track % Bull/Bear to gauge Historical Context of moves** This indicator measures the historical reliability of key percentage levels derived from pivot highs and pivot lows. Rather than simply drawing support and resistance zones, it scores each level based on what price actually did when it arrived there — giving you a data-driven read on whether a level is worth trading or fading. CUSTOM PICK A % MOVE TO SEE HOW PRICE AS REACTED AT THAT % --- **HOW IT
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von MasterTonyTA
Adaptive Volatility Matrix [JOAT]Adaptive Volatility Matrix Introduction The Adaptive Volatility Matrix (AVM) is an advanced open-source volatility regime classification indicator that combines Bollinger Band Width Percentile (BBWP), ATR percentile analysis, regime transition prediction, volatility clustering detection, and historical regime statistics to classify market conditions into distinct volatility regimes. This indicator helps traders adapt their strategies to current market conditions by systematically identifyi
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von officialjackofalltrades
ADR Study [TFO]This indicator is focused on the Average Daily Range (ADR), with the goal of collecting data to show how often price reaches/closes through these levels, as well as a look at historical moves that reached ADR and at similar times of day to study how price moved for the remainder of the session. The ADR here (blue line) is calculated using the difference between a day's highest and lowest points. If our ADR length is 5, then we are taking this difference from the last 5 days and averaging them t
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von tradeforopp
Historical Price Projection [LuxAlgo]The Historical Price Projection tool aims to project future price behavior based on historical price behavior plus a user defined growth factor. The main feature of this tool is to plot a future price forecast with a surrounding area that exactly matches the price behavior of the selected period, with or without added drift. Other features of the tool include: User-selected period up to 500 bars anywhere on the chart within 5000 bars User selected growth factor from 0 (no growth) to 1
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von LuxAlgo
18
ADR % RangesThis indicator is designed to visually represent percentage lines from the open of the day. The % amount is determined by X amount of the last days to create an average...or Average Daily Range (ADR). 1. ADR Percentage Lines: The core function of the script is to apply lines to the chart that represent specific percentage changes from the daily open. It first calculates the average over X amount of days and then displays two lines that are 1/3rd of that average. One line goes above the other li
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von GoodGains
4
Historic Volume/Market ProfilesHistoric Volume/Market Profile is a Periodic Volume Profile with all of the improvements known in the original Volume/Market Profile. VMP is a 2 in 1 Volume and Market Profile Indicator. HVMP uses the base of VMP to offer a quick and simple view at multiple historic profiles at the same time. This includes: Cluster Identification for High Volume and Low Volume Areas. Maximizing granularity by utilizing boxes and lines to get up to 1000 rows. New Inclusions in HVMP vs VMP: HVMP gra
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von SamRecio
10
Seasonal Performance for Stocks & CryptoThe Seasonal Performance indicator quickly allows you to see if you are in a bullish or bearish time of year for an underlying security and where the current performance stacks up compared to the same time of year historically. Table is fully customizable from colors to what data to see. Table Displays Average Performance Best Performance Worst Performance Last Performance Current Performance Note this indicator will only work with Stocks, ETF's, Index's or Crypto.
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von Amphibiantrading
4
Statistics: High & Low timings of custom session; 1yr historyGet statistics of the Session High and Session Low timings for any custom session; based on around 1yr of data. //Purpose: -To get data on the 'time of day' tendencies of an asset. -Narrow in on a custom defined session and get statistics on that session. //Notes: -Input times are always in New York time (but changing the timezone after setting WILL adust both table stats and background highlight correctly. -For particularly long sessions, make sure text size is set to 'tiny' (very long verti
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von twingall
3
Price Data LabelThis indicator gives you the ability to see historical data for each bar on the chart by simply hovering over the high of the bar, similar to the functionality of MarketSmith. Data for each bar includes: Open High Low Close + Change Percentage Change Closing Range Volume Volume Percent based on 50 day average Distance to 4 selectable moving averages Example of stats on a historical bar: * Note this only works on the last 500 historical bars. If you use bar replay it will
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von Amphibiantrading
16
Volatility Gap TrackerThe Volatility Gap Tracker ( *VGT ) indicator calculates the historical volatility of an asset using the standard deviation of the natural logarithm of the closing price relative to the previous period's closing price. *VGT visualizes the HV with gap lines to highlight when the current HV has increased or decreased significantly compared to the previous period, and adds labels to show the HV value for each of those bars. Low HV calculated by *VGT can potentially signify a potential move up or d
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von whvntr
Multi-Asset Month/Month % change 10yr Averages10 Year Averages of Month-on-Month % change: Shows current asset, and 3x user input assets -For comparing seasonal tendencies among different assets. -Choose from a variety of monthly average measures as source: sma(close, length), sma(ohlc4, length); as well as sma's of vwap, vwma, volume, volatility. (sma = simple moving average). -Averages based on month cf previous month: i.e. Feb % = Feb compared to Jan; Jan % = Jan compared to prev year's Dec. Average of the last 10yrs of these values is
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von twingall
2
Percent ResearchPercent Research is an indicator that will plot a color / column on the chart in case custom requirements are met. The requirements are: - Price : Price requirement (equal or above input). - Change % Up : Amount the price have moved up in percent (equal or above input). - Change % Down : Amount the price have moved down in percent (equal or below input). - Change Interval : Amount of bars the above move happened over. - Volume : Volume requirement (equal or above input). - Volume Interva
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von StockLeave
FUNCTION: Limited Historical Data WorkaroundFUNCTION: Limited Historical Data Workaround If you are working with bitcoin weekly charts, or any other ticker with a low amount of price history this function may help you out. For example you want to apply indicators to some shitcoin that just launched? This can help you. It can be frustrating to use certain built-ins since they will only give an output once the full lookback length is available. This function allows you to avoid that situation and start plotting things with almost no h
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von theheirophant
5
10yr, 20yr, 30yr Averages: Month/Month % Change; SeasonalityCalculates 10yr, 20yr and 30yr averages for month/month % change ~shows seasonal tendencies in assets (best in commodities). In above chart: August is a seasonally bullish month for Gold: All the averages agree. And January is the most seasonally bullish month. ~averages represent current month/previous month. i.e. Jan22 average % change represents whole of jan22 / whole of dec21 ~designed for daily timeframe only: I found calling monthly data too buggy to work with, and I thought weekly basis
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von twingall
23
Month/Month Percentage % Change, Historical; Seasonal TendencyTable of monthly % changes in Average Price over the last 10 years (or the 10 yrs prior to input year). Useful for gauging seasonal tendencies of an asset; backtesting monthly volatility and bullish/bearish tendency. ~~User Inputs~~ Choose measure of average: sma(close), sma(ohlc4), vwap(close), vwma(close). Show last 10yrs, with 10yr average % change, or to just show single year. Chose input year; with the indicator auto calculating the prior 10 years. Choose color for labels and size for labe
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von twingall
10
Last Available Bar InfoLibrary "Last_Available_Bar_Info" getLastBarTimeStamp() getAvailableBars() This simple library is built with an aim of getting the last available bar information for the chart. This returns a constant value that doesn't change on bar change. For backtesting with accurate results on non standard charts, it will be helpful. (Especially if you are using non standard charts like Renko Chart). Methods getLastBarTimeStamp() : Returns Timestamp of the last available bar (Co
Bibliothek
von CyberMensch
vol_bracketThis simple script shows an "N" standard deviation volatility bracket, anchored at the opening price of the current month, week, or quarter. This anchor is meant to coincide roughly with the expiration of options issued at the same interval. You can choose between a manually-entered IV or the hv30 volatility model. Unlike my previous scripts, which all show the volatility bracket as a rolling figure, the anchor helps to visualize the volatility estimate in relation to price as it ranges over th
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von taylor_o
3
vol_rangesThis script shows three measures of volatility: historical (hv): realized volatility of the recent past median (mv): a long run average of realized volatility implied (iv): a user-defined volatility Historical and median volatility are based on the EWMA, rather than standard deviation, method of calculating volatility. Since Tradingview's built in ema function uses a window, the "window" parameter determines how much historical data is used to calculate these volatility measures. E.g. 30 on a
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von taylor_o
1
BTC top bottom weekly oscillatorThis indicator is based on the 20 weekly simple moving average and it could be used to help finding potential tops and bottoms on a weekly BTC chart. This version uses an "oscillator" presentation, it fluctuates around the value zero. The indicator plots 0 when the close price is near the 20 weekly moving average. If it's below 0 it reflects the price being below the 20 weekly moving average, and opposite for above. IT's possible to see how many times the price has hit the 0.5 coef support.
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von TheTradingParrot
BTC top bottom weekly bandsThis indicator is based on the 20 weekly simple moving average and it could be used to help finding potential tops and bottoms on a weekly BTC chart. When using the provided "coef" parameter set to the default of 0.5 it shows how most bottoms since 2013 have hit the lower band of this indicator. The lower band is calculated as exp(coef) * sma(close) Instructions: - Use with the symbol INDEX:BTCUSD so you can see the price since 2010 - Set the timeframe to weekly - Use logarithmic chart (togg
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von TheTradingParrot
2