[TTI] All-time-high (ATH), (ATL), 52 week high and low Dots––––History & Credit
I wanted to show our community the idea that stocks that make All Time High are likely to continue making ATHs for some time. It goes contrary to the idea "buy cheap sell high". Actually, in the real market leaders the stocks that make 100+% return are just getting started on returns to few THOUSAND percent. I have used code from QuantNovad scrip in this one too. So thanks to him as well, since it speeded writing it from scratch!
–––––What it does
The script paints dots and shows stats.
The dots are 4 types:
🟢 = Every time a new ATH is achieved, a green dot paints above the bar
🟣 = Every time a new 52week High is achieved, a purple dot paints above the bar
🟡 = Every time a new ATL is achieved, a yellow dot paints below the bar
🟠 = Every time a new 52week Low is achieved, a orange dot paints below the bar
Stats =
Show in a box in the bottom right corner of the screen. How many times has this stock achieved:
👉 ATHs
👉 52WK High
👉 ATLs
👉 52WK LOW
–––––How to use it
This is really an illustrative script to get the idea of the methodology "buy high sell higher', that we teach as momentum traders.
Some notable examples to check are:
HOOD
MSFT
TSLA
AAPL
See the stock dynamics and understand that bottom fishing doesn't result in stocks making massive moves.
MÍNIMA
Hi-Lo Trend BarsI present to you a simple but useful indicator.
The basic logic is an indicator that tracks the high of the high bars in the specified range and the low of the low bars in the specified range.
I used two multipliers in order to go out of certain ranges and I tried to provide precision by subtracting this multiplier value from the lowest and highest values.
I set the steps of the multipliers to 0.01 so that it is easy to use on instruments that require finer tuning.
Because every instrument has its own dynamics. You should change the multiplier values according to the instrument dynamics.
For example, under Spot, these multiplier values work efficiently with a large multiplier such as 2.0. It is more efficient in the range of 0.1 - 0.2 in the stock market.
I hope your transactions will be of some use in directional evaluation.
Thanks.
Buy / Sell indicator light version [Crypto_BCT]The indicator is based on the search for the lowest bars in a given period (can be customized).
You can add a search for the highest bars to determine the closed order points.
You can add a filter by the value of the RSI (you can customized it separately for buying and selling).
Alerts for buying and selling are set.
It can be used to work with bots, for example 3COMMAS DCA bot.
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Signal Condition Settings:
(Buy) Lowest Bar
The closing of the current bar is lower than the closing of the bars back in this range
(Buy) RSI value <
The RSI index is below this value
(Sell) Highest Bar
The closing of the current bar is higher than the closing of bars in this range
(Sell) RSI value >
The RSI index is higher than this value
Buy alert [Crypto_BCT]Hello everyone!
I bring to your attention a simple indicator to determine the point of purchase.
It is based on oscillators and a moving average.
It can be used to work with bots, for example 3COMMAS DCA bot.
Signal Condition Settings:
ATR
The current candle is larger than the ATR for this period
EMA
The signal is necessarily below the EMA of the specified period
MFI low
The MFI index is below this value
CCI low
CCI index is below this value
RSI low
The RSI index is below this value
Lowest bar from
The closing of the current bar is lower than the closing of the bars back in this range
Lowest EMA bar ago
During a given distance back, the EMA value only decreased
I hope it will be useful!
Percentage Levels by TimeframePlots the positive and negative percentage levels from a selection of timeframes and sources for any ticker. You can use this within a pullback trading system. For example, if you historically look at the average pullback of large cap stocks and ETF's, you can use this indicator to plot the levels it could pullback to for an entry to go long. It can be used as potential targets when trading a ticker short. Another use for this is to backtest the set percentage targets using TradingView's bar replay feature to see how ETF's and large cap stocks have reacted at these levels. Note: This is intended to be used at timeframes equal to higher than the chart's as it may cause re-painting issues.
Currently percentage levels are statically set to 1, 3, 5, 10, 15, 20, 25, and 30% levels above and below the chosen source (open, high, low, close). You can also display the data based on timeframes from Daily (1D) all the way up to Yearly (12M)
*Not financial advice but in my opinion the current percentage levels set (see above) are best used for ETF's and Large Cap Stocks.
Jan 2
Release Notes: Added the ability to select the historical bars to look back when plotting levels
Jan 2
Release Notes: To get a better display or proper resolution on your charts, change the view settings to "Scale Price Chart Only"
Jan 2
Release Notes: To add % labels for this indicator on the price axis, change your chart settings to include "Indicator Name Label" & "Indicator Last Value". You can find this under the Label section after hitting the gear icon in the bottom right of your chart.
Jan 2
Release Notes: Added: Custom Line Plot Extension Settings. Ideally both values should be equal to display optimal extended lines. To return to a base setting: '1' = Historical Lookback & '0' = Offset Lines. Also note this is dependent on the timeframe you are viewing on the chart.
Jan 2
Release Notes: Removed indicator from example chart that was not needed.
Jan 2
Release Notes: Updated some comments in the Pine Script
Jan 2
Release Notes: Update: Added commentary and instructions in the indicator settings to address recommended line plot settings for Stocks/ETF's vs Futures
Jan 2
Release Notes: Changed title from "Calculation Method" to "Calculation Source"
Jan 4 2021
Normal use of security() dictates that it only be used at timeframes equal to or higher than the chart's as it may cause re-painting
K's Volatility BandsVolatility bands come in all shapes and forms contrary to what is believed. Bollinger bands remain the principal indicator in the volatility bands family. K's Volatility bands is an attempt at optimizing the original bands. Below is the method of calculation:
* We must first start by calculating a rolling measure based on the average between the highest high and the lowest low in the last specified lookback window. This will give us a type of moving average that tracks the market price. The specificity here is that when the market does not make higher highs nor lower lows, the line will be flat. A flat line can also be thought of as a magnet of the price as the ranging property could hint to a further sideways movement.
* The K’s volatility bands assume the worst with volatility and thus will take the maximum volatility for a given lookback period. Unlike the Bollinger bands which will take the latest volatility calculation every single step of time, K’s volatility bands will suppose that we must be protected by the maximum of volatility for that period which will give us from time to time stable support and resistance levels.
Therefore, the difference between the Bollinger bands and K's volatility bands are as follows:
* Bollinger Bands' formula calculates a simple moving average on the closing prices while K's volatility bands' formula calculates the average of the highest highs and the lowest lows.
* Bollinger Bands' formula calculates a simple standard deviation on the closing prices while K's volatility bands' formula calculates the highest standard deviation for the lookback period.
Applying the bands is similar to applying any other volatility bands. We can list the typical strategies below:
* The range play strategy : This is the usual reversal strategy where we buy whenever the price hits the lower band and sell short whenever it hits the upper band.
* The band re-entry strategy : This strategy awaits the confirmation that the price has recognized the band and has shaped a reaction around it and has reintegrated the whole envelope. It may be slightly lagging in nature but it may filter out bad trades.
* Following the trend strategy : This is a controversial strategy that is the opposite of the first one. It assumes that whenever the upper band is surpassed, a buy signal is generated and whenever the lower band is broken, a sell signal is generated.
* Combination with other indicators : The bands can be combined with other technical indicators such as the RSI in order to have more confirmation. This is however no guarantee that the signals will improve in quality.
* Specific strategy on K’s volatility bands : This one is similar to the first range play strategy but it adds the extra filter where the trade has a higher conviction if the median line is flat. The reason for this is that a flat line means that no higher highs nor lower lows have been made and therefore, we may be in a sideways market which is a fertile ground for mean-reversion strategies.
Time-of-Day DeviationCreates a 'Time-of-Day' Deviation cone starting from the first bar of the session based upon data from previous days.
DailyDeviationLibrary "DailyDeviation"
Helps in determining the relative deviation from the open of the day compared to the high or low values.
hlcDeltaArrays(daysPrior, maxDeviation, spec, res) Retuns a set of arrays representing the daily deviation of price for a given number of days.
Parameters:
daysPrior : Number of days back to get the close from.
maxDeviation : Maximum deviation before a value is considered an outlier. A value of 0 will not filter results.
spec : session.regular (default), session.extended or other time spec.
res : The resolution (default = '1440').
Returns: Where OH = Open vs High, OL = Open vs Low, and OC = Open vs Close
fromOpen(daysPrior, maxDeviation, comparison, spec, res) Retuns a value representing the deviation from the open (to the high or low) of the current day given number of days to measure from.
Parameters:
daysPrior : Number of days back to get the close from.
maxDeviation : Maximum deviation before a value is considered an outlier. A value of 0 will not filter results.
comparison : The value use in comparison to the current open for the day.
spec : session.regular (default), session.extended or other time spec.
res : The resolution (default = '1440').
Daily DeviationShows you the normal deviation from the OPEN based upon historical data.
Levels measured:
Normal range (1 standard deviation) of the CLOSE (vs the OPEN).
Normal daily HIGH +1, +2, +3, and +4 standard deviations.
Normal daily LOW -1, -2, -3, and -4 standard deviations.
Configuration:
Always shows you the normal CLOSE vs OPEN range for the current session.
Can display previous day's ranges (extra days) based upon the calendar (not trading days).
Normally displays which levels have been exceeded (to reduce noise and keep auto-scale to a minimum), but can show all the ranges for the current session.
The default number of days to measure (50) will affect the accuracy but outliers are cleaned to avoid dramatic variance.
Note:
These are only statistical representations of what has occurred in the past. You can interpret the current price as oversold or overbought for the day (and only that day) relative to the OPEN. Gaps high or low are not considered in the equation.
DailyLevelsLibrary "DailyLevels"
Functions for acquiring daily timeframe data by number of prior days.
openD(daysPrior, spec, res) Gets the open for the number of days prior.
Parameters:
daysPrior : Number of days back to get the open from.
spec : session.regular (default), session.extended or other time spec.
res : The resolution (default = '1440').
Returns: The open for the number of days prior.
highD(daysPrior, extraForward, spec, res) Gets the highest value for the number of days prior.
Parameters:
daysPrior : Number of days back to get the high from.
extraForward : Number of extra days forward to include.
spec : session.regular (default), session.extended or other time spec.
res : The resolution (default = '1440').
Returns: The high for the number of days prior.
lowD(daysPrior, extraForward, spec, res) Gets the lowest value for the number of days prior.
Parameters:
daysPrior : Number of days back to get the low from.
extraForward : Number of extra days forward to include.
spec : session.regular (default), session.extended or other time spec.
res : The resolution (default = '1440').
Returns: The low for the number of days prior.
closeD(daysPrior, spec, res) Gets the close for the number of days prior.
Parameters:
daysPrior : Number of days back to get the open from. 0 produces the current close
spec : session.regular (default), session.extended or other time spec.
res : The resolution (default = '1440').
Returns: The close for the number of days prior.
hlc3D(daysPrior, extraForward, spec, res) Gets the HLC3 value for the number of days prior.
Parameters:
daysPrior : Number of days back to get the HLC3 from.
extraForward : Number of extra days forward to include. Determines the closing value.
spec : session.regular (default), session.extended or other time spec.
res : The resolution (default = '1440').
Returns: The HLC3 for the number of days prior.
Daily HIGH/LOW strategyThis is a DAILY High/LOW strategy combined with a moving average and volume for more accuracy.
The rules are simple :
For long if we had a cross of the high with the previous high and close of the candle is above moving average and chaikin money flow volume is positive we have a long entry.
We exit when we cross down the moving average with the close of the candle.
For short if we had a crossdown of the low with the previous low and close of the candle is below moving average and chaikin money flow volume is negative we have a short entry.
We exit when we cross above the moving average with the close of the candle.
This strategy has no risk management inside so use it with caution.
If you have any questions, let me know
Pi Cycle Bitcoin High/LowThe theory that a Pi Cycle Top might exist in the Bitcoin price action isn't new, but recently I found someone who had done the math on developing a Pi Cycle Low indicator, also using the crosses of moving averages.
The Pi Cycle Top uses the 2x350 Daily MA and the 111 Daily MA
The Pi Cycle Bottom uses the 0.745x471 Daily MA and the 150 Daily EMA
Note: a Signal of "top" doesn't necessarily mean "THE top" of a Bull Run - in 2013 there were two Top Signals, but in 2017 there was just one. There has been one in 2021, but on-chain analysis and macro TA is pointing to there possibly being another one in 2021 or early 2022. Regardless, combining the two indicators (Top and Bottom) means the MAs that converge first will likely give good indication of which will cross first in the next few years.
There is as much of a chance of two "bottom" indications occurring in a single bear market, as nearly happened in the Liquidity Crisis in March 2020.
High Low Open Mid Ranges & Levels (Multi-Timeframe)This indicator automatically plots the chosen timeframe's high, low, mid point and open. These levels on higher timeframes act as support and resistance levels on lower timeframes, helping find entries, stoploss and profit targets.
Most common timeframes to choose are Daily, 1W, 1M, and 3M. Other timeframes that are good include, 2D, 2W and 2M.
For example, you can see in the snapshot below, we are on the 4hr TF showing those levels from the 2W. This historical 2W zone (open and mid) was (and currently still is) resistance. You can see it also provided a good entry to go short.
This is also useful for intraday scalping. Below, we are on the 15min TF with levels set on the 2D timeframe. You can see how the Open and Mid levels acted as resistance, providing good entries on range trades, with take profit set at the previous 2D low.
There is also a table which tells you all the main TFs high, low, open, and mid levels. They are the most important ones to look out for.
This indicator should not be used in isolation; it is best to pair it up with other TA such as orderblocks, S/D zones, S&R or overlay indicators.
Pivot TrackerThis script finds swing lows and swing highs based on input criteria for lookback and lookforward periods, and plots letters accordingly.
Helps identify trend or lacktherof
HH = higher high
LH = lower high
HL = higher low
LL = lower low
ICHIMOKU Crypto Swing StrategyThis is a crypto swing strategy designed for timeframes bigger than 1h.
The main components are
ICHOMOKU
KDJ
Average High
Average Low
Rules for entry
For long: we have the ichimoku crosses between tenkan and baselines, we have a rising kdj line and at the same time we have a increase in the average high
For short: we have the ichimoku crosses between tenkan and baselines, we have a falling kdj line and at the same time we have an increase in the average low
Rules for exit
We exit when we have inverse conditions than the initial ones used for entry.
Caution
This strategy does not use a risk management, so be careful with it !
If you have any questions let me know !
Michigandolf's 30min Opening RangeThis script plots the 30min Opening Range as well as the previous day's high & low.
Description:
Blue Line = Top of the 30min Opening Range for the session
Pink Line = Bottom of the 30min Opening Range for the session
White Line = Mid-Point of the 30min Opening Range for the session
White Transparent Area = The full range of the 30min Opening Range
Green Line = Yesterday's High for the session
Red Line = Yesterday's Low for the session
Use:
The Opening Range will continue to expand until the first 30minutes of trading has passed, at which point the range will lock in place for the remainder of the trading session. Many traders use these important levels to gauge trade entries and exits (e.g. Mark Fisher's ACD strategy).
This script does not work currently work for futures (e.g. ES, NQ, RTY) due to the session start time. Will configure for futures trading in a future update.
Fib High Low PointsThis is a simple indicator which plot high and lows based on Fibonacci sequence.
Best part of this indicator is it don't rewrite itself once it got plotted on the chart, which make it unique from other High low indicators.
nonoiraq indicator it's very strong i edit this indicator to connect it with my bot to auto trading and he take the info from the volume, so when he is give me a single the bot take just 0.50% to 1% for 3 - 5 trade in day and this perfect, if u use a manual trading this indicator can reach to from 10% to 80% in some point .
the indicator have 3 line
(Red , Purple, Yellow)
1- The yellow line it's high sensitivity this mean it's when rich to the -3 or 3 you can open the order when the bar is close and the signal be sure
and u need to watch the your order because in some case he is reach to 0.30% to 2% and the price reflected to loss and when you wait the price reflected to but my advice you take profit and close the order directly.
2- The purple circles it's medium sensitivity this mean when the purple hit the 2.5 or 3 from down or up in indicator with yellow line you open the order when bar close and the signal is be sure , like example in the photo
3- The red circles it's low sensitivity and this one when reach to 3.0 with any line (yellow or purple) you open directly short or long , like the example in the photo
i am sorry for my english it's not very good
please support me to share other idea or script
Example - Custom Defined Dual-State SessionThis script example aims to cover the following:
defining custom timeframe / session windows
gather a price range from the custom period ( high/low values )
create a secondary "holding" period through which to display the data collected from the initial session
simple method to shift times to re-align to preferred timezone
Articles and further reading:
www.investopedia.com - trading session
Reason for Study:
Educational purposes only.
Before considering writing this example I had seen multiple similar questions
asking how to go about creating custom timeframes or sessions, so it seemed
this might be a good topic to attempt to create a relatively generic example.
OBV High / LOW (On-Balance Volume )This is a simple application of OBV indicator (On-Balance Volume ), to visually determine when a given stock current obv is near the highest or lowest based on the number of lookback bars.
Indicator examples:
### OBV value is near an all-time high ##
breakthrough , stock value could set new all-time highs.
rejection , stock value could come down or consolidate.
Example
Inputs
OBV High Lookback -> numbers of bars to look back for the obv high.
OBV LowLookback -> numbers of bars to look back for the obv low.
OBV EMA Length -> Ema length
Notes:
This script also comes with an ema indicator based on obv for smoothing the obv signal since it gets noise at lower timeframes (by default comes disabled)
OBV information
www.investopedia.com
Comments:
This is my first script any ideas, suggestions, or detected errors (language/script) don´t hesitate to send a message.
Best regards, Mauro.
Magic Band MA20 High LowMA 20 period Magic Band - based on Highs and Lows (as opposed to Close), can be used on any time frame for a better grip on price action.
Stochastic RVIBased on the Stochastic RSI but uses RVI (Relative Volatility Index) as source. Another great tool for finding market lows and entry points. This oscillator is also good for finding accurate diversions.
R-HL-PDWThis script doesn't give buy or sell signals. It gives a reference point to the previous day's high and low as well as the previous week's high/low. This will be helpful for intraday trading decisions.
