The Amplifier - Two Day Historical Bitcoin Volatility PlotThe 3rd piece to the other two pieces to our CoT study. This is the Amplifier, which turns select signals into 'Super' Buys/Sells
The other two being the 'Bitcoin Insider CoT Delta', and the on chart Price indicator most will have, if no others the 'Hunt Bitcoin CoT Buy/Sell Signals' that will indicate the key signals, ave 4 a year on the chart as they occur.
Why Bother another CoT signal?
Its different & focused on the Insider's.
Performance -
This Indicator provided a
1. Signal 1 = 26th March 2019 = SUPER LONG at $4,500 that saw a near $14,000 run up
2. Signal 2 = 18th & 24th June 2019 = SHORT at the second & final level $11,700 after repeated attempts & failure in the $13K range, the mini Echo Bitcoin Bull of 2019
3. Signal 3 = 17th December 2019 = LONG $6,900, Bitcoin rallied to Mid $10,500's
4. Signal 4 = 18th Feb 2020 = SUPER SHORT from $9,700's to a final extreme Low of $3,000, calling the CV-19 collapse
5. Signal 5 = 17th March 2020 = LONG from $5,400 no closure point yet
6. Signal 6 = 29th June 2020 = SUPER LONG reiterate from $10,700 no closure sell signal yet
7. Signal 7 = 17th May 2020 = LONG another accumulate LONG with no sell signal yet generated at Post H&S's low of $33,000
Note - This indicator only commences March 2019, as Bitcoin futures were a recent introduction and needed to settle for 6 months in both use and data, no signals were meaningful prior & data was light.
What is Provided. - Please note the need to also add the Hunt Bitcoin Historical Volatility Indicator for full understanding.
We provide 3 things with the 3 indicators.
'Insider' indications from Largest players in the futures market.
1. Bitcoin Macro Buy Signals.
a) The Bitcoin Commitment of Traders results see us focus solely on Largest 4 Short Open Interest & Largest 4 Long Open Interest aspects of the CoT Release data.
When the difference - is tight, a kind of pinch, these have been great Buy signals in Bitcoin.
We call this difference the Delta & When Delta is 5% or less Bitcoin is a Buy.
2. Bitcoin Macro Sells.
a) A sell signal is Triggered in Bitcoin at any point the Largest 4 short OI > or = to 70
3. AMPLIFIER Trade signals 'Super' Longs or Shorts -
Extreme low volatility events leads to highly impulsive & volatile subsequent moves, if either of 1 or 2 above occur, combined with extreme low volatility
a 'Super Long' or 'SUPER SELL' is generated. In the case of the short side, given Bitcoins general expansive and MACRO Bull trend since inception, we seek an additional component
that is an extreme differential/Delta reading between 4 biggest Longs & Shorts OI.
Namely CoT Delta also must be > 47.5%
We also have a Cautionary level, where it is not necessarily a good idea to accumulate Bitcon, as a better opportunity lower may avail itself, see conditions below.
So the required logic explicitly stated below for all Signals.
1. Long - Hunt Bitcoin CoT Delta < or = 5
2. SUPER Long - Hunt Bitcoin CoT Delta < or = 5; and 2 Day Historical Bitcoin Volatility = or < 20
3. Short - Largest 4 Sellers OI = or > 70
4. SUPER Short - Largest 4 Sellers OI = or > 70; AND..
Hunt Bitcoin CoT Delta = or > 47.5 AND 2 Day Historical BTC Volatility = or < 20
5. Caution - Largest 4 Sellers OI = or > 67.5 AND Hunt Bitcoin CoT Delta = or > 45
WARNING SEE Notes Below
Note 1 - = Largest 4 Open Interest Shorts
Note 2 - = Largest 4 Open Interest Longs
Note 3 - = Hunt Cot Delta = (Largest 4 sellers OI) -( Largest 4 Buyers OI)
Caution = Avoid new Bitcoin Accumulation Right Now, A sell signal might follow Enter on next Long
Note 4 - The Hunt Bitcoin COT Delta signal is a Largest 'Insider' Tracking tool based on a segment of Commitment of Traders data on Bitcoin Futures, released once a week on a Friday.
It is a Macro Timeframe signal , and should not be used for Day trading and Short Timeframe analysis , Entries may be optimised after a Hunt Bitcoin CoT Signal is generated by separate shorter Timeframe analysis.
Note 5 - The Historical Bitcoin Volatility is an additional 'Amplifier' component to the 'Hunt Bitcoin Cot Delta' Insider Signal
Note 6 - The Historical Bitcoin Volatility criteria varies by timeframe, the above levels are those applying on a Two Day TF Chart, select this custom timeframe in Trading View.
if additional criteria are met for LONG & SHORT insider signals, they may become 'Super Longs/Shorts', see conditions box above.
Cerca negli script per "Volatility"
Volatility Switch Indicator [LazyBear]The Volatility Switch (VOLSWITCH) indicator, by Ron McEwan, estimates current volatility in respect to historical data, thus indicating whether the market is trending or in mean reversion mode. Range is normalized to 0 - 1.
When Volatility Switch rises above the 0.5 level, volatility in the market is increasing, thus the price action can be expected to become choppier with abrupt moves. When the indicator falls below the 0.5 level from recent high readings, volatility decreases, which may be considered a sign of trend formation.
Trading strategy as suggested by Ron McEwan is:
- If VOLSWITCH is less than 0.5, volatility decreases, which may be considered a sign of trend formation
- If VOLSWITCH is greater than 0.5, market is in high volatility mode. Can be choppy. Use RSI to look for OB/OS levels.
I have implemented support for 2 lengths (14 and 21) Note that, Pine doesn't support loops. Once it is introduced, I will publish an updated version.
Building a strategy out of this is straightforward (refer to my strategy explanation above), I strongly encourage new Pinescript coders to try to a plotarrow() based overlay indicator to get more familiar with Pine.
More info:
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The Volatility (Regime) Switch Indicator : traders.com
Complete list of my indicators:
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docs.google.com
Volatility Zones (STDEV %)This indicator calculates and visualizes the relative price volatility of any asset, expressed as a percentage of standard deviation over a rolling window.
🧠 How it works:
- Calculates rolling standard deviation of price (close) as a percentage of the current price.
- Classifies market into three volatility regimes :
• Low Volatility (≤2%) → Blue zone
• Medium Volatility (2–4%) → Orange zone
• High Volatility (>4%) → Red zone
📊 Why it matters:
Volatility structure reflects the underlying regime of the market — ranging, expanding, or trending. This tool helps traders:
- Spot optimal low-risk entry conditions
- Avoid chop zones or highly erratic moves
- Time breakouts or trend initiations
🛠 Usage:
- Works on any timeframe and instrument
- Adjustable lookback period
- Best used alongside trend filters or entry signals (e.g., SuperTrend, EMAs, etc.)
Volatility BandsThe Volatility Bands script is a custom indicator designed to help traders visualize volatility levels in the market. It calculates dynamic bands around a central moving average, providing insights into potential support and resistance levels based on recent price action.
The script calculates multiple volatility bands (u0, u1, u2, d0, d1, d2) that adjust based on recent price movements. The outer bands (u2 and d2) represent extreme volatility levels, while the inner bands (u0, u1, d0, d1) indicate more immediate support and resistance.
Look for price reactions at the band levels. A touch of the upper bands may indicate overbought conditions, while a touch of the lower bands may indicate oversold conditions.
Central Moving Average: A smoothed moving average that adapts to price changes, providing a clear trend direction.
The script has no input parameters.
Script Functions:
erf(x): Calculates the error function for a given input x. Used in the calculation of the smoothing factor for the UMA.
uma(input): Provides a smoothed average that adapts to recent price changes, reducing lag compared to traditional moving averages.
dev(input, mu): Used to calculate the volatility bands around the central moving average.
Volatility Percentile (H-LINES)A simple script that adjusts the Volatility Percentile Indicator visibly in order to better accommodate entries/exits and certain trading setups/strategies.
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TL;DR - Remember after a full reset, we are looking for initial crosses UP on the UpperSwingline and crosses DOWN on the LowerSwingline for primary and secondary signal derivation.
Vice versa also works great but the prior method mentioned is a little more consistent in my experience, but you should mess around and optimise this for your own setups and strategies anyway.
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ORIGINAL SCRIPT HERE:
^Click image for a redirect to that script.
ALL CREDIT GOES TO: www.tradingview.com
He wrote everything so give credit where it's due, good bit of kit this here script is.
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HOW I USE MY VISUALLY ALTERED VERSION OF THIS SCRIPT
First of all, the alterations I've made seem only to be consistently viable with renko charts though if you can get the sought after results using candles or any other chart type then perfect, but be wary. All my back-testing done only with LinReg, HMA and SWMA - ATR type settings exclusively on renko charts. The changes I've made to the original script essentially just turns it visibly into an oscillator and uses a couple horizontal lines to generate signals, very simple - absolutely nothing has changed in the actual code of calculating this indicator.
What I believe my adjustments have achieved is quite simple. A full reset/oscillation on the indicator tries to map the strongest parts of a move or at least the part of the move where volume and the rate of transactions is at its peak to even facilitate said move. *take this statement with a pinch of salt though I do believe it's interacting with accumulation/distribution patterns, which is expected of volatility*
For ease of communication let's refer to the area between the the first UpperSwingline cross to the subsequent LowerSwingline cross, as the primary move. Then afterwards when it crosses the UpperSwingline again to make the full reset, the area in between those two points referred to as the secondary move.
Though more interestingly/practically the indicator ends up giving you two signals. In order for this to work we have to first decide that a spike up in volatility which crosses the UpperSwingline implies a significant level of interest at that price level. Usually that means a reversal is brewing, if price has already moved, trended and is approaching a certain area of value; which causes a spike of new positions to be taken, then you know that this is a level where contrarians are looking to enter. Now here's the tricky part, when volatility crosses the LowerSwingline price action becomes a little more open for interpretation, the way I personally like to look at this secondary signal is the potential for an exhaustion period to prolong itself a little longer. I know that's not the perfect analysis for what's going on, a more in-depth look into what's going on would best be described using Elliott Wave Theory, if a cross on the UpperSwingline near a significant area of value gives us a reversal trade lets just assume for the sake of argument that a new Elliott Wave can begin forming here. Making the move from that initial UpperSwngline cross to the cross on the LowerSwingline, the area that encompasses those two points: the impulse wave. After this point my analogy kind of falls apart and sadly my knowledge just isn't what it needs to be in order for me to properly analyse what's going on here but I must digress. Price after crossing the LowerSwingline up until the point where it makes a full reset by crossing the UpperSwingline again, within this area price seems to do either one of two things:
Situation 1 - Most likely occurs after a major trend reversal from major support/resistance or area of value (price has trended to new territory, maybe spent time a little time consolidating but hasn't broken the key level, momentum shifts, price action breaks current structure and you get the signal that primary move is a reversal) = Exhaustion Period, price will continue in direction of primary move during the secondary move. This here is for our trend-followers, you wanna take a continuation trade? Just wait for the pullback/rally to hit a FiB retracement level and enter - or any other means to find a decent support/resistance to enter.
Situation 2 - Most likely occurs when market enters a range or consolidation (price was previously seen as being at either a discount or premium so Situation 1 could have already played out and now you're looking at a full reset after that, imagine this spot to be the centre line of a linear regression channel or bang in the middle of your range, could even occur if price breaks a key moving average and decides it ought to consolidate around it for a while. Basically at any point where a somewhat prolonged consolidation is expected and not a quick reversal) = Corrective Wave, price will move against the direction of primary move during the secondary move. Now you might be expecting me to say this ones for you reversal traders but not really, if this is occurring then there probably isn't a definitive direction the market has chosen so you can use this opportunity to take range trades in the direction or against the direction of whatever the current trend or latest trend was depending on whatever slight bias you may have. <--- Situation 2 is very useful for finding cleaner entries if you do have a trend bias, say price underwent Situation 1, is now at key moving average but your bias is that it will break and continue up, so you wait and allow the secondary move of Situation 2 to take your entry to a much better R:R before entering a position.
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Volatility Trackerhi there, fellows.
this is a very simple and quite straightforward indicator.
so far the simplest we've built.
on what it does
in regard to current chart and timeframe it plots
a. Open - Close as a percentage of the Open (we regard open as more relevant than close, for as you can use latest estimates in current candle) in daily change coloring (so one may have an idea if there is a trend or sideways move unfolding)
b. High - Low as a percentage of the Open, so one may compare extreme moves with final ones in the period
c. Volume as a percentage distance from its WMA200 (always this one, a way better reference for normalcy). (e. g. a positive value x means Volume is x% above its WMA200)
on what it means
to the best of our imperfect and incomplete understanding, we believe that low volatility periods lead to high volatility periods, so one might want to enter the market in low volatility periods to enjoy wild rides afterwards. such a trade of course would be, for the sake of making sense, a long volatility one.
the timing for entrance could be once that the volatility waves fades to chart minimums.
we're open to critics, suggestions and comments.
best regards.
Full Volatility Statistics and Forecast
This is a tool designed to translate the data from the expected volatility of different assets, such as for example VIX, which measures the volatility of SP500 index.
Once get the data from the volatility asset we want to measure(for this test I have used VIX), we are going to translate it the required timeframe expected move by dividing the initial value into :
252 = if we want to use the daily timeframe, since there are ~252 aproximative daily trading days
52 = if we want to use the weekly timeframe, since there 52 trading weeks in a year
12 = if we want to use the monthly timeframe, since there are 12 months in a year
For this example I have used 252 with the daily timeframe.
In this scenario, we can see that we had 5711 total cnadles which we analysed, and in this case, we had 942 crosses, where the daily movement ended up either above or below the channel made from the opening daily candle value + expected movement from the volatility, giving as a total of 16.5% of occurances that volatility was higher than expected, and in 83.5% of the times, we can see that the price stayed within our channel.
At the same time, we can see that we had 6 max losses in a row ( OUT) AND 95 max wins in a row (IN), and at the same time in those moments when the volatility crosses happen we had a 0.51% avg movements when the top crossed happened, and 0.67% avg movements when the bot happened.
Lastly on the second part of the panel, we had E which means the expected movement of today, for example it has 61.056$ , so lets say price opened on 4083, our top is 4083 + 61 and our bot is 4083 - 61 ( giving us the daily channel). At continuation we can see that overall the avg bull candle os 0.714% and avg bear candle was 0.805% .
I hope this tool will help you with your future analysis and trades !
If you have any questions please let me know !
Candle Volatility Index [by NicoadW]This is the migration of the CandleVolatilitIndex from MT4.
The indicator works as following:
Step 1: The "Volatility Value" is calculated by applying a moving average to the change of the selected source (default: 10-Period-SMA applied to the change from last close to this close -> SMA(close-close , 10) )
Step 2: The signal line is calculated by applying a moving average onto the "Volatility Value" calculated in step 1.
The default settings are the same as in the original MT4 version.
Visualization:
The histogram shows the "Volatility Value" calculated in step 1.
Case 1:
The value is above the signal line (blue bar) -> Volatility is given
Case 2:
The value is below the signal line (grey bar) -> Volatility is not there
This is intended to be used as a Volume/Volatility Indicator for a NNFX-System but can be used in any strategy.
BTC Volatility Band StrategyThis script/strategy is a pullback system designed for securities with high volatility so naturally Bitcoin is an excellent choice for trading this. This could be used both on a daily chart or on lower timeframes (I found good results on 3hr timeframe but haven't tested it on anything under 1hr).
A volatility band is created by comparing the candle close price of the previous 2 candles and and it uses this change in price to create a moving average. A band is wrapped around the moving average with a standard deviation of 1 for the inner band and 2 for the outer band. If the price is above a pre-set MA (moving average filter) then it is determined we are in an uptrend so the strategy will issue a buy signal when we are in an uptrend and there is a pullback which causes the lower inner deviation band to be spiked, but if the price continues and falls through the outer deviation band then a buy signal will not issue as this detriments that the volatility spike is to great. You can see a spike "buy" event occur on the indicator where the background is coloured green. For a short/sell then there will be a spike on the upper inner band and we are below the pre-set MA filter, for this it shows with red background on the indicator.
The user can change the date range they wish to test, the moving average period for the volatility tracking and the inner and outer band deviations. On BTC I left the inner deviation and outer deviation bands on standard settings but found the 3 period volatility tracking to be good for trading 1 day chart and the 5 period volatility tracking good for the 3hr chart. Since this is not a buy and hold strategy then for trading you would probably want to stick with the most liquid coins so you can get in and out very fast on any exchange. If you wanted to tray this on less volatile markets then changing the inner deviation band to ~0.75 would work okay in various futures markets likely stocks as well. The take profit and stop loss levels are based on a multiple of the trading range looking back the past 7 candles.
Attached result is trading 1 BTCUSDT contract on Binance.
Best Volatility Calculator (Multi Instruments)Hello traders
A bit of context
Definition: Volatility is defined as the close of current candle - close of the previous N candle
This is an alternative version of my Best Volatility Calculator
The other version is displayed on a panel below. This one overlays on the chart using the "overlay=true" setting
This indicator shows the average volatility, of last N Periods, for the selected time frames and for 2 selected instruments.
You can select up to 2 timeframes with this version
Presented as Currency, Pip, percentage labels in a panel below.
Will calculate in real-time only for the current instrument on the chart.
The indicator is coded to not be repainting
Example
In the indicator screenshot, I used a lookback period of 1.
That compares the current candle close versus the previous one for the daily and weekly timeframe
Showing how the results look like using FOREX instruments (where using the PIPS labels make more sense than with cryptocurrency assets)
Best regards
Dave
R100 Volatility Combo Bands v1 (*v*)The Volatility Combo Bands are made from 4 separate volatility bands- two Bollinger Bands (10 and 20 period) and two Price Headley Acceleration Bands (10 and 20 period). The Volatility Combo Bands plot the innermost upper and lower points from these bands and then plots a mid-line. By default, only the standard 20 period Bollinger Bands and Combo Bands with mid-line are displayed, but can be configured however you want.
Try it out- see squeezes earlier, ride the bands earlier in trending markets, trade pullbacks to the Combo Bands and mid-line, trade the range of the band or use them to help identify potential support and resistance levels. Hopefully they can add another dimension to identifying volatility contraction patterns or whatever you currently use these things for!
I hope you get some value out of it. Only conditions of use are that if you improve it, let me know and if you publish something that uses it, don't hide the code! Enjoy!
Code for the Price Headley Acceleration Bands pinched and modified from LazyBear - thankyou.
Relative Strength Volatility Variable Bands [DW]This is an experimental adaptive trend following study inspired by Giorgos Siligardos's Reverse Engineering RSI and Tushar S. Chande's Variable Moving Average.
In this study, reverse engineered RSI levels are calculated and used to generate a volatility index for VMA calculation.
First, price levels are calculated for when RSI will equal 70 and 30. The difference between the levels is taken and normalized to create the volatility index.
Next, an initial VMA is calculated using the created volatility index. The moving average is an exponential calculation that adjusts the sampling length as volatility changes.
Then, upper and lower VMAs are calculated by taking a VMA of prices above and below the initial VMA. The midline is produced by taking the median of the upper and lower VMAs.
Lastly, the band levels are calculated by multiplying the distance from the midline to the upper and lower VMAs by 1, 2, 3, 4, and 5.
Bar colors are included. They're based on the midline trend and price action relative to the upper and lower VMAs.
ka66: Volatility MomentumThis is a 'monitoring' indicator to see if an instrument is viable enough to be traded, by virtue of volatility (or lack of volatility in context may lead to a break out), or may become so. It shows the following information:
Price Range (high - low) averaged across a set of bars: Useful gauging potential trading profits. This was its initial goal, to not measure bars manually!
ATR : As a comparison point for the price range above. Divergence between true range (TR) and plain price range might signal volatility changes occurring in the instrument.
Signal volatility line : a moving average of the larger of the average price range and ATR. This takes inspiration from other indicators like MACD and Stochastic, and is a way of comparing change in recent volatility --- this achieves the momentum part. The larger was chosen to keep things simple, and not have a signal line per range!
avgRange = movingAvg(high - low, avgPeriod)
atr = movingAvg(trueRange, avgPeriod)
signal = movingAvg(max(avgRange, atr), avgPeriod)
Configurable periods and averaging mechanism.
Daily Historical Volatility StdDev LevelsDescription:
This indicator plots Daily Standard deviation levels on price chart based on Historical Volatility (HV). It uses the most common approach for calculating historical volatility as standard deviation of logarithmic returns, based on daily closing/settlement prices.
Assets: Currency Pairs, Commodities, also works on stocks, some indices.
Time Frames: 5min to 60min. This will also work on Daily Chart, by setting "DaystoExpire" to 21
Options:
Use Daily Data to Calculate StdDev HV (default), otherwise use the charts Time Frame
Lookback = number of days/periods to calculate stddev of HV (21 by default)
Annual = number of trading days in a calender year (252 by default)
Days to Expiry = number of days for the life of this option ( for auto calculation
this is 1 for intraday, 21 for daily and annual when chart TF used)
Settlement Source = close price by default, can use another source.
Settlement Volume Weighted Average Length = by setting this to >1 then an average
is used for settlement.
Display ### Standard Deviation Levels = select what levels are to be displayed.
References:
How To Use Standard Deviation In Your Trading Day: www.youtube.com
Deviation Levels Indicator: www.youtube.com
www.macroption.com
Historical Volatility based Standard Deviation_V2 by ucsgears
Historical Volatility Strategy by Hpotter
Trend Volatility Tops and Bottoms
Big Picture:
Overall what this script try's to capture is bounces off of moving trend lines.
What you will see when using this script
one Green line, one red line, two gray lines and circles in colors blue, green, red, and purple.
RED AND GREEN LINES:
There are two trend lines, an upper and a lower line that are 1 to 2 standard deviations from the linear regression line formed by the closing price for a look back period. The green is the distance from the close price and the lower line. The red is the list from the close and the upper line. (you don't see the lower and upper lines, but yo do see the green and red lines)
The goal is too easily see when price is approaching those support and resistance levels.
GRAY LINES:
GRAY lines are a form of volatility metric. GRAYS represent the distance from the RED and GREEN lines talked about above. low volatility mean the two GRAY lines will be close and times of high volatility will be father apart.
COLORED CIRCLES:
the color circles represent possible bounce zones, when price is high or low for for a given time period.
PURPLE is caution that there could be a possible price drop
RED is a critical zone for rejection and price drop
BLUE is caution that there could be a possible price increase
GREEN is a critical zone for bounce and price increase
how its used
feel free to play around and Try new things but, how its intended to be used is on 4hr time Frame looking for longer term trends on assets that tend to be less volatile on average.
settings
some settings:
buy deviation, this will say how many standard deviations do you want the lower bounce line to be from the linear regression line
sell deviation, this will say how many standard deviations do you want the upper bounce line to be from the linear regression line
dist to zero buy: how close dose the price has to be to put out a possible bounce.
Recap
-red and purple = possible upcoming price drop... red is more critical than purple
-green and blue = possible upcoming price increase... green is more critical than blue
-use on less volatile assents and on 4hr timeframe
good luck!
Market Trend using First Derivative of MAs + Volatility Based on Smooth First Derivative Indicator by tbiktag
Volatility also from another public TV script, forgot which one though, sorry if this is yours and I haven't credited your work, let me know if it is and I'll reference it properly.
About this indicator:
Estimates whether market is trending up, down or sideways by adding the slope (first derivatives) of a fast & slow MA. Uptrend = Green, Downtrend = Red, Sideways = Yellow
Uses a minimum slope percentile to determine threshold for uptrend, downtrend & sideways. Definitely adjust this when changing timeframes, for BTCUSD at 1 hour timeframe a value of 25 is decent
Also has a measure of Volatility if you're into that
Explanation of inputs:
Bandwidth - for derivative function
Fastma - period for fast Moving Average
Slowma - period for slow Moving Average
Derivmalength - smooths out the signal, reducing single contrasting bars, but delays the signal. Use 1 if don't want to use
V length - ema of volatility if you want to smooth it
Min Slope Percentile - slope should exceed this percentile to be classified as uptrend (green) or downtrend (red) anything in this bottom percentile will be considered sideways
Mine Slope Lookback Period - # of bars back to calculate Slope Percentile
Annualised Price Volatility %Annualised Price Volatility in percent, also called Instrument Risk, as outlined by Rob Carver in his excellent books, 'Systematic Trading' and 'Leveraged Trading'.
This is written for those who have read one of his books and want to use this tool on TradingView.
Trend strength, oscillators, and volume indicators are all the rage. Finding a great setup is, of course, key. You've decided to go long. Great!
But how much is your capital at risk?
How does that compare with your level of risk tolerance?
When trading, it's key to understand just how risky a certain instrument is. An uptrend is an uptrend, but is it at an annualised volatility of 2% per year or 500% per year? If it's the former, I know I can put a good chunk of capital into trading it. But if its the latter, I don't want to put so much money at risk. Volatility is rarely in a straight line. It's usually up and down.
I won't give the whole game away. To find out more about how to use this concept of risk, I'd highly recommend the books 'Leveraged Trading' and 'Systematic Trading' by Rob Carver.
Do you have any thoughts, ideas, or questions? Let me know in the comments or send me a message! I'd be glad to help you out.
Bitcoin Implied VolatilityThis simple script collects data from FTX:BVOLUSD to plot BTC’s implied volatility as a standalone indicator instead of a chart.
Implied volatility is used to gauge future volatility and often used in options trading.
Indicator: Volatility Quality Index [VQI]Volatility Quality Index (VQI), by Thomas Stridsman, points out the difference between bad and good volatility in order to identify better trade opportunities in the market.
This plots 3 lines:
- Red line is the VQI (actually, sum of VQI).
- Green line is the 9-period SMA of sum_of_VQI.
- Orange line is the 200-period SMA of sum_of_VQI.
Stridsman suggested to buy when VQI has increased in the previous 10 bars (use the SMAs) and sell when it has decreased in the previous 10 bars. IMO, use this with your other indicators as a confirmation signal.
More info: www.3pips.com
To use this indicator in your charts, click on "Share" button (top right on the chart). Click on "Make it mine" button on the dialog that pops up. Now, you will have a copy of this chart with the indicator's source code in it. Click on "{}" to open the source code of VQI_LB and save it to your custom scripts section.
Volatility & Big Market MovesThis indicator shows the volatility per candle, and highlights candles where volatility exceeds a defined threshold.
Data shown:
Furthest %-distance from the previous candle's closing price to the top (positive histogram).
Furthest %-distance from the previous candle's closing price to the bottom (negative histogram).
Candlestick Strength and Volatility ReadoutDisplays a readout on the top right corner of the screen displaying a two basic calculations (volatility and strength; i.e. candlestick size and how close to the highs or lows it closed) for more convenient candlestick (price action) analysis.
Due to restrictions with Pine Script (or my knowledge thereof) only the current and previous candlestick data is shown, rather than the one currently hovered over.
The data is derived via two simple calculations; volatility being division between the range of the candlestick's high and low by the ATR; 'strength' (what I like to call it) being the range of the body by the range of the open to high or low, depending on the facing direction (positive or negative candlestick). These are expressed as percentages and will turn green depending on the set threshold.
Using this, one can effectively automate calculations you'd have to do by hand otherwise. I personally use these as entry filters in my trading, so it helps to not have to measure, remeasure, and divide before each potential entry.
Settings are implemented to change certain variables to your liking.
Volatility and Volume by Hour EXT(Extended republication, use this instead of the old one)
The goal of this indicator is to show a “characteristic” of the instrument, regarding the price change and trading volume. You can see how the instrument “behaved” throughout the day in the lookback period. I've found this useful for timing in day trading.
The indicator creates a table on the chart to display various statistics for each hour of the day.
Important: ONLY SHOWS THE TABLE IF THE CHART’S TIMEFRAME IS 1H!
Explanation of the columns:
1. Volatility Percentage (Volat): This column shows the volatility of the price as a percentage. For example, a value of "15%" means the price movement was 15% of the total daily price movement within the hour.
2. Hourly Point Change (PointCh): This column shows the change in price points for each hour in the lookback period. For example, a value of "5" means the price has increased by 5 points in the hour, while "-3" means it has decreased by 3 points.
3. Hourly Point Change Percentage (PrCh% (LeverageX)): This column shows the percentage change in price points for each hour, adjusted with leverage multiplier. Displayed green (+) or red (-) accordingly. For example, a value of "10%" with a leverage of 2X means the price has effectively changed by 5% due to the leverage.
4. Trading Volume Percentage (TrVol): This column shows the percentage of the daily total volume that was traded in a specific hour. For example, a value of "10%" would mean that 10% of the day's total trading volume occurred in that hour.
5. Added New! - Relevancy Check: The indicator checks the last 24 candle. If the direction of the price movement was the same in the last 24 hour as the statistical direction in that hour, the background of the relevant hour in the second column goes green.
For example: if today at 9 o'clock the price went lower, so as at 9 o'clock in the loopback period, the instrument "behaves" according to statistics . So the statistics is probably more relevant for today. The more green background row the more relevancy.
Settings:
1. Lookback period: The lookback period is the number of previous bars from which data is taken to perform calculations. In this script, it's used in a loop that iterates over a certain number of past bars to calculate the statistics. TIP: Select a period the contains a trend in one direction, because an upward and a downward trend compensate the price movement in opposite directions.
2. Timezone: This is a string input that represents the user's timezone. The default value is "UTC+2". Adjust it to your timezone in order to view the hours properly.
3. Leverage: The default value is 10(!). This input is used to adjust the hourly point change percentage. For FOREX traders (for example) the statistics can show the leveraged percentage of price change. Set that according the leverage you trade the instrument with.
Use at your own risk, provided “as is” basis!
Hope you find it useful! Cheers!
Volatility ZigZagIt calculates and plots zigzag lines based on volatility and price movements. It has various inputs for customization, allowing you to adjust parameters like source data, length, deviation, line styling, and labeling options.
The indicator identifies pivot points in the price movement, drawing lines between these pivots based on the deviation from certain price levels or volatility measures.
The script labels various data points at the ZigZag pivot points on the chart. These labels provide information about different aspects of the price movement and volume around these pivot points. Here's a breakdown of what gets labeled:
Price Change: Indicates the absolute and average percentage change between the two pivot points. It displays the absolute or relative change in price as a percentage. Additionally, the average absolute price increase or the average rate of increase can also be labeled.
Volume: Shows the total volume and average volume between the two pivot points.
Number of Bars: Indicates the number of bars between the current and the last pivot point.
Reversal Price: Displays the price of the reversal point (the previous pivot).
