RSI Swing Trading Setup (2-Period)A simple script that adjusts the RSI visibly in order to better accommodate swing trading and certain swing trading setups/strategies.
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Best used in conjunction with "Linear Regression Channel by LonesomeTheBlue" with 2.2σ (std.dev) and Show Fib Levels.
^Click image for a redirect to that script.
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In certain price action patterns:
A bearish reversal from a previously bullish move can indicate tops of a rally if the RSI moves from 0-40 to 60 (1)
A bullish reversal from a previously bearish move can indicate bottoms of a pullback if the RSI moves from 60-100 to 40 (2)
(USE THE LINEAR REGRESSION CHANNEL TO VALIDIFY THE RETRACEMENTS)
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(1)
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(2)
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Indicators
Multi Asset + Correlation OverlayFrom time to time, you may want to overlay multiple assets on the same chart instead of using multi-chart views. This can be a much cleaner way of viewing and comparing multiple assets. There is some functionality built into TradingView that lets you do this to a certain extent, but I wanted additional options, correlation labeling and ways to adjust the overlay location. So, today I am releasing to the community my Multi-Asset + Correlation Overlay script / indicator.
What is does: This script allows you to overlay the price of any ticker onto your chart. It also labels the line with the ticker name, and calculates / labels the correlation coefficient of your newly overlayed asset.
How to use it: Add the indicator to your chart. Then, go into the indicator settings to set the ticker of the asset you want to pull in along with how you want to "offset" it. Your 2 tickers may not be priced near each-other, so the offset setting allows you to pull the ticker you added up/down to better visually align with your chart's price range/layout. For instance, if the asset you added is priced $400 higher than the underlying chart price, you may want to set the offset to -400.
If you would like to add multiple tickers and multiple overlays, you can do that by just adding the indicator to your chart more than once. The color is adjustable, and the ticker of the asset will print to the right of the line representing the asset price. The script also calculates the correlation coefficient between the ticker overlay and the underlying chart asset. The correlation coefficient prints to the right of the ticker.
Indicators OverlayHello All,
This script shows the indicators in separate windows on the main chart. Included indicators are RSI, CCI, OBV, Stochastic, Money Flow Index, Average True Range and Chande Momentum Oscillator. indicator windows are located at the top or bottom of the chart according to last moves of the Closing price. Different colors are used for each indicator. Horizontal levels are shown as dashed line and label as well.
Using the options;
You can enable/disable the indicators you want to see or not
You can change source and length for each indicator
You can set window length. using this length indicator windows are located on the chart
After you added this indicator to your chart I recommend: right click on any of the indicator windows => "Visual Order" => "Bring to front" as seen screenshot below:
in this example only 3 indicators enabled and period is set as 80:
indicator windows moves to the top or bottom of the chart according to the close price:
P.S. if you want to see any other indicator in the options then leave a comment under the indicator ;)
Enjoy!
taLibrary "ta"
█ OVERVIEW
This library holds technical analysis functions calculating values for which no Pine built-in exists.
Look first. Then leap.
█ FUNCTIONS
cagr(entryTime, entryPrice, exitTime, exitPrice)
It calculates the "Compound Annual Growth Rate" between two points in time. The CAGR is a notional, annualized growth rate that assumes all profits are reinvested. It only takes into account the prices of the two end points — not drawdowns, so it does not calculate risk. It can be used as a yardstick to compare the performance of two instruments. Because it annualizes values, the function requires a minimum of one day between the two end points (annualizing returns over smaller periods of times doesn't produce very meaningful figures).
Parameters:
entryTime : The starting timestamp.
entryPrice : The starting point's price.
exitTime : The ending timestamp.
exitPrice : The ending point's price.
Returns: CAGR in % (50 is 50%). Returns `na` if there is not >=1D between `entryTime` and `exitTime`, or until the two time points have not been reached by the script.
█ v2, Mar. 8, 2022
Added functions `allTimeHigh()` and `allTimeLow()` to find the highest or lowest value of a source from the first historical bar to the current bar. These functions will not look ahead; they will only return new highs/lows on the bar where they occur.
allTimeHigh(src)
Tracks the highest value of `src` from the first historical bar to the current bar.
Parameters:
src : (series int/float) Series to track. Optional. The default is `high`.
Returns: (float) The highest value tracked.
allTimeLow(src)
Tracks the lowest value of `src` from the first historical bar to the current bar.
Parameters:
src : (series int/float) Series to track. Optional. The default is `low`.
Returns: (float) The lowest value tracked.
█ v3, Sept. 27, 2022
This version includes the following new functions:
aroon(length)
Calculates the values of the Aroon indicator.
Parameters:
length (simple int) : (simple int) Number of bars (length).
Returns: ( [float, float ]) A tuple of the Aroon-Up and Aroon-Down values.
coppock(source, longLength, shortLength, smoothLength)
Calculates the value of the Coppock Curve indicator.
Parameters:
source (float) : (series int/float) Series of values to process.
longLength (simple int) : (simple int) Number of bars for the fast ROC value (length).
shortLength (simple int) : (simple int) Number of bars for the slow ROC value (length).
smoothLength (simple int) : (simple int) Number of bars for the weigted moving average value (length).
Returns: (float) The oscillator value.
dema(source, length)
Calculates the value of the Double Exponential Moving Average (DEMA).
Parameters:
source (float) : (series int/float) Series of values to process.
length (simple int) : (simple int) Length for the smoothing parameter calculation.
Returns: (float) The double exponentially weighted moving average of the `source`.
dema2(src, length)
An alternate Double Exponential Moving Average (Dema) function to `dema()`, which allows a "series float" length argument.
Parameters:
src : (series int/float) Series of values to process.
length : (series int/float) Length for the smoothing parameter calculation.
Returns: (float) The double exponentially weighted moving average of the `src`.
dm(length)
Calculates the value of the "Demarker" indicator.
Parameters:
length (simple int) : (simple int) Number of bars (length).
Returns: (float) The oscillator value.
donchian(length)
Calculates the values of a Donchian Channel using `high` and `low` over a given `length`.
Parameters:
length (int) : (series int) Number of bars (length).
Returns: ( [float, float, float ]) A tuple containing the channel high, low, and median, respectively.
ema2(src, length)
An alternate ema function to the `ta.ema()` built-in, which allows a "series float" length argument.
Parameters:
src : (series int/float) Series of values to process.
length : (series int/float) Number of bars (length).
Returns: (float) The exponentially weighted moving average of the `src`.
eom(length, div)
Calculates the value of the Ease of Movement indicator.
Parameters:
length (simple int) : (simple int) Number of bars (length).
div (simple int) : (simple int) Divisor used for normalzing values. Optional. The default is 10000.
Returns: (float) The oscillator value.
frama(source, length)
The Fractal Adaptive Moving Average (FRAMA), developed by John Ehlers, is an adaptive moving average that dynamically adjusts its lookback period based on fractal geometry.
Parameters:
source (float) : (series int/float) Series of values to process.
length (int) : (series int) Number of bars (length).
Returns: (float) The fractal adaptive moving average of the `source`.
ft(source, length)
Calculates the value of the Fisher Transform indicator.
Parameters:
source (float) : (series int/float) Series of values to process.
length (simple int) : (simple int) Number of bars (length).
Returns: (float) The oscillator value.
ht(source)
Calculates the value of the Hilbert Transform indicator.
Parameters:
source (float) : (series int/float) Series of values to process.
Returns: (float) The oscillator value.
ichimoku(conLength, baseLength, senkouLength)
Calculates values of the Ichimoku Cloud indicator, including tenkan, kijun, senkouSpan1, senkouSpan2, and chikou. NOTE: offsets forward or backward can be done using the `offset` argument in `plot()`.
Parameters:
conLength (int) : (series int) Length for the Conversion Line (Tenkan). The default is 9 periods, which returns the mid-point of the 9 period Donchian Channel.
baseLength (int) : (series int) Length for the Base Line (Kijun-sen). The default is 26 periods, which returns the mid-point of the 26 period Donchian Channel.
senkouLength (int) : (series int) Length for the Senkou Span 2 (Leading Span B). The default is 52 periods, which returns the mid-point of the 52 period Donchian Channel.
Returns: ( [float, float, float, float, float ]) A tuple of the Tenkan, Kijun, Senkou Span 1, Senkou Span 2, and Chikou Span values. NOTE: by default, the senkouSpan1 and senkouSpan2 should be plotted 26 periods in the future, and the Chikou Span plotted 26 days in the past.
ift(source)
Calculates the value of the Inverse Fisher Transform indicator.
Parameters:
source (float) : (series int/float) Series of values to process.
Returns: (float) The oscillator value.
kvo(fastLen, slowLen, trigLen)
Calculates the values of the Klinger Volume Oscillator.
Parameters:
fastLen (simple int) : (simple int) Length for the fast moving average smoothing parameter calculation.
slowLen (simple int) : (simple int) Length for the slow moving average smoothing parameter calculation.
trigLen (simple int) : (simple int) Length for the trigger moving average smoothing parameter calculation.
Returns: ( [float, float ]) A tuple of the KVO value, and the trigger value.
pzo(length)
Calculates the value of the Price Zone Oscillator.
Parameters:
length (simple int) : (simple int) Length for the smoothing parameter calculation.
Returns: (float) The oscillator value.
rms(source, length)
Calculates the Root Mean Square of the `source` over the `length`.
Parameters:
source (float) : (series int/float) Series of values to process.
length (int) : (series int) Number of bars (length).
Returns: (float) The RMS value.
rwi(length)
Calculates the values of the Random Walk Index.
Parameters:
length (simple int) : (simple int) Lookback and ATR smoothing parameter length.
Returns: ( [float, float ]) A tuple of the `rwiHigh` and `rwiLow` values.
stc(source, fast, slow, cycle, d1, d2)
Calculates the value of the Schaff Trend Cycle indicator.
Parameters:
source (float) : (series int/float) Series of values to process.
fast (simple int) : (simple int) Length for the MACD fast smoothing parameter calculation.
slow (simple int) : (simple int) Length for the MACD slow smoothing parameter calculation.
cycle (simple int) : (simple int) Number of bars for the Stochastic values (length).
d1 (simple int) : (simple int) Length for the initial %D smoothing parameter calculation.
d2 (simple int) : (simple int) Length for the final %D smoothing parameter calculation.
Returns: (float) The oscillator value.
stochFull(periodK, smoothK, periodD)
Calculates the %K and %D values of the Full Stochastic indicator.
Parameters:
periodK (simple int) : (simple int) Number of bars for Stochastic calculation. (length).
smoothK (simple int) : (simple int) Number of bars for smoothing of the %K value (length).
periodD (simple int) : (simple int) Number of bars for smoothing of the %D value (length).
Returns: ( [float, float ]) A tuple of the slow %K and the %D moving average values.
stochRsi(lengthRsi, periodK, smoothK, periodD, source)
Calculates the %K and %D values of the Stochastic RSI indicator.
Parameters:
lengthRsi (simple int) : (simple int) Length for the RSI smoothing parameter calculation.
periodK (simple int) : (simple int) Number of bars for Stochastic calculation. (length).
smoothK (simple int) : (simple int) Number of bars for smoothing of the %K value (length).
periodD (simple int) : (simple int) Number of bars for smoothing of the %D value (length).
source (float) : (series int/float) Series of values to process. Optional. The default is `close`.
Returns: ( [float, float ]) A tuple of the slow %K and the %D moving average values.
supertrend(factor, atrLength, wicks)
Calculates the values of the SuperTrend indicator with the ability to take candle wicks into account, rather than only the closing price.
Parameters:
factor (float) : (series int/float) Multiplier for the ATR value.
atrLength (simple int) : (simple int) Length for the ATR smoothing parameter calculation.
wicks (simple bool) : (simple bool) Condition to determine whether to take candle wicks into account when reversing trend, or to use the close price. Optional. Default is false.
Returns: ( [float, int ]) A tuple of the superTrend value and trend direction.
szo(source, length)
Calculates the value of the Sentiment Zone Oscillator.
Parameters:
source (float) : (series int/float) Series of values to process.
length (simple int) : (simple int) Length for the smoothing parameter calculation.
Returns: (float) The oscillator value.
t3(source, length, vf)
Calculates the value of the Tilson Moving Average (T3).
Parameters:
source (float) : (series int/float) Series of values to process.
length (simple int) : (simple int) Length for the smoothing parameter calculation.
vf (simple float) : (simple float) Volume factor. Affects the responsiveness.
Returns: (float) The Tilson moving average of the `source`.
t3Alt(source, length, vf)
An alternate Tilson Moving Average (T3) function to `t3()`, which allows a "series float" `length` argument.
Parameters:
source (float) : (series int/float) Series of values to process.
length (float) : (series int/float) Length for the smoothing parameter calculation.
vf (simple float) : (simple float) Volume factor. Affects the responsiveness.
Returns: (float) The Tilson moving average of the `source`.
tema(source, length)
Calculates the value of the Triple Exponential Moving Average (TEMA).
Parameters:
source (float) : (series int/float) Series of values to process.
length (simple int) : (simple int) Length for the smoothing parameter calculation.
Returns: (float) The triple exponentially weighted moving average of the `source`.
tema2(source, length)
An alternate Triple Exponential Moving Average (TEMA) function to `tema()`, which allows a "series float" `length` argument.
Parameters:
source (float) : (series int/float) Series of values to process.
length (float) : (series int/float) Length for the smoothing parameter calculation.
Returns: (float) The triple exponentially weighted moving average of the `source`.
trima(source, length)
Calculates the value of the Triangular Moving Average (TRIMA).
Parameters:
source (float) : (series int/float) Series of values to process.
length (int) : (series int) Number of bars (length).
Returns: (float) The triangular moving average of the `source`.
trima2(src, length)
An alternate Triangular Moving Average (TRIMA) function to `trima()`, which allows a "series int" length argument.
Parameters:
src : (series int/float) Series of values to process.
length : (series int) Number of bars (length).
Returns: (float) The triangular moving average of the `src`.
trix(source, length, signalLength, exponential)
Calculates the values of the TRIX indicator.
Parameters:
source (float) : (series int/float) Series of values to process.
length (simple int) : (simple int) Length for the smoothing parameter calculation.
signalLength (simple int) : (simple int) Length for smoothing the signal line.
exponential (simple bool) : (simple bool) Condition to determine whether exponential or simple smoothing is used. Optional. The default is `true` (exponential smoothing).
Returns: ( [float, float, float ]) A tuple of the TRIX value, the signal value, and the histogram.
uo(fastLen, midLen, slowLen)
Calculates the value of the Ultimate Oscillator.
Parameters:
fastLen (simple int) : (series int) Number of bars for the fast smoothing average (length).
midLen (simple int) : (series int) Number of bars for the middle smoothing average (length).
slowLen (simple int) : (series int) Number of bars for the slow smoothing average (length).
Returns: (float) The oscillator value.
vhf(source, length)
Calculates the value of the Vertical Horizontal Filter.
Parameters:
source (float) : (series int/float) Series of values to process.
length (simple int) : (simple int) Number of bars (length).
Returns: (float) The oscillator value.
vi(length)
Calculates the values of the Vortex Indicator.
Parameters:
length (simple int) : (simple int) Number of bars (length).
Returns: ( [float, float ]) A tuple of the viPlus and viMinus values.
vzo(length)
Calculates the value of the Volume Zone Oscillator.
Parameters:
length (simple int) : (simple int) Length for the smoothing parameter calculation.
Returns: (float) The oscillator value.
williamsFractal(period)
Detects Williams Fractals.
Parameters:
period (int) : (series int) Number of bars (length).
Returns: ( [bool, bool ]) A tuple of an up fractal and down fractal. Variables are true when detected.
wpo(length)
Calculates the value of the Wave Period Oscillator.
Parameters:
length (simple int) : (simple int) Length for the smoothing parameter calculation.
Returns: (float) The oscillator value.
█ v7, Nov. 2, 2023
This version includes the following new and updated functions:
atr2(length)
An alternate ATR function to the `ta.atr()` built-in, which allows a "series float" `length` argument.
Parameters:
length (float) : (series int/float) Length for the smoothing parameter calculation.
Returns: (float) The ATR value.
changePercent(newValue, oldValue)
Calculates the percentage difference between two distinct values.
Parameters:
newValue (float) : (series int/float) The current value.
oldValue (float) : (series int/float) The previous value.
Returns: (float) The percentage change from the `oldValue` to the `newValue`.
donchian(length)
Calculates the values of a Donchian Channel using `high` and `low` over a given `length`.
Parameters:
length (int) : (series int) Number of bars (length).
Returns: ( [float, float, float ]) A tuple containing the channel high, low, and median, respectively.
highestSince(cond, source)
Tracks the highest value of a series since the last occurrence of a condition.
Parameters:
cond (bool) : (series bool) A condition which, when `true`, resets the tracking of the highest `source`.
source (float) : (series int/float) Series of values to process. Optional. The default is `high`.
Returns: (float) The highest `source` value since the last time the `cond` was `true`.
lowestSince(cond, source)
Tracks the lowest value of a series since the last occurrence of a condition.
Parameters:
cond (bool) : (series bool) A condition which, when `true`, resets the tracking of the lowest `source`.
source (float) : (series int/float) Series of values to process. Optional. The default is `low`.
Returns: (float) The lowest `source` value since the last time the `cond` was `true`.
relativeVolume(length, anchorTimeframe, isCumulative, adjustRealtime)
Calculates the volume since the last change in the time value from the `anchorTimeframe`, the historical average volume using bars from past periods that have the same relative time offset as the current bar from the start of its period, and the ratio of these volumes. The volume values are cumulative by default, but can be adjusted to non-accumulated with the `isCumulative` parameter.
Parameters:
length (simple int) : (simple int) The number of periods to use for the historical average calculation.
anchorTimeframe (simple string) : (simple string) The anchor timeframe used in the calculation. Optional. Default is "D".
isCumulative (simple bool) : (simple bool) If `true`, the volume values will be accumulated since the start of the last `anchorTimeframe`. If `false`, values will be used without accumulation. Optional. The default is `true`.
adjustRealtime (simple bool) : (simple bool) If `true`, estimates the cumulative value on unclosed bars based on the data since the last `anchor` condition. Optional. The default is `false`.
Returns: ( [float, float, float ]) A tuple of three float values. The first element is the current volume. The second is the average of volumes at equivalent time offsets from past anchors over the specified number of periods. The third is the ratio of the current volume to the historical average volume.
rma2(source, length)
An alternate RMA function to the `ta.rma()` built-in, which allows a "series float" `length` argument.
Parameters:
source (float) : (series int/float) Series of values to process.
length (float) : (series int/float) Length for the smoothing parameter calculation.
Returns: (float) The rolling moving average of the `source`.
supertrend2(factor, atrLength, wicks)
An alternate SuperTrend function to `supertrend()`, which allows a "series float" `atrLength` argument.
Parameters:
factor (float) : (series int/float) Multiplier for the ATR value.
atrLength (float) : (series int/float) Length for the ATR smoothing parameter calculation.
wicks (simple bool) : (simple bool) Condition to determine whether to take candle wicks into account when reversing trend, or to use the close price. Optional. Default is `false`.
Returns: ( [float, int ]) A tuple of the superTrend value and trend direction.
vStop(source, atrLength, atrFactor)
Calculates an ATR-based stop value that trails behind the `source`. Can serve as a possible stop-loss guide and trend identifier.
Parameters:
source (float) : (series int/float) Series of values that the stop trails behind.
atrLength (simple int) : (simple int) Length for the ATR smoothing parameter calculation.
atrFactor (float) : (series int/float) The multiplier of the ATR value. Affects the maximum distance between the stop and the `source` value. A value of 1 means the maximum distance is 100% of the ATR value. Optional. The default is 1.
Returns: ( [float, bool ]) A tuple of the volatility stop value and the trend direction as a "bool".
vStop2(source, atrLength, atrFactor)
An alternate Volatility Stop function to `vStop()`, which allows a "series float" `atrLength` argument.
Parameters:
source (float) : (series int/float) Series of values that the stop trails behind.
atrLength (float) : (series int/float) Length for the ATR smoothing parameter calculation.
atrFactor (float) : (series int/float) The multiplier of the ATR value. Affects the maximum distance between the stop and the `source` value. A value of 1 means the maximum distance is 100% of the ATR value. Optional. The default is 1.
Returns: ( [float, bool ]) A tuple of the volatility stop value and the trend direction as a "bool".
Removed Functions:
allTimeHigh(src)
Tracks the highest value of `src` from the first historical bar to the current bar.
allTimeLow(src)
Tracks the lowest value of `src` from the first historical bar to the current bar.
trima2(src, length)
An alternate Triangular Moving Average (TRIMA) function to `trima()`, which allows a
"series int" length argument.
GoldenCO Aie2 Use of GoldenCO Aie2
This market price movement trend analysis uses exponential moving average which is ema5/20/50. The purpose of using this EMA is to find out the effect of price changes that occur and the current trend of the market whether bullish or bearish.
It is suitable for short-term or long-term trading.
for short term trading, the trader uses ema5-ema20 and for long term trading the trader can use ema5-ema50 as analysis.
This indicator serves as a guide to traders in trading activities.
we hope that, by recognizing and knowing the trend of this price movement it can help traders in trading activities well and can reduce risk. May it benefit the trader.
DISCLAIMER : This is not Buy/Sell call, just sharing idea analysis for education. Trade at your own risk.
GoldenCO Aie3Use of GCOv3 strategy for market analysis
This gco3 strategy uses exponential moving average analysis which is 5emas to show the movement of stock prices in the market. It is also to track the impending changes to the market price. the use of EMA is more sensitive to trend changes and it is one way to see the trend of price movements and as a guide to the trader.
The parameters used are EMA5/EMA20/EMA50/EMA100/EMA200.
The above parameters indicate a price condition that includes 4 phases of the price trend, namely the accumulation, uptrend, distribution, and ddowntrend phases.
we hope that, by recognizing and knowing the trend of this price movement it can help traders in trading activities well and can reduce risk. May it benefit the trader.
DISCLAIMER ; This is not Buy/Sell call, Just analysis idea for education. Trade At Your Own Risk
TRADERS COMPANION BUY AND SELL INDICATORTHE 'PROBLEM'
A lot of buy and sell strategies are based on price action being at a particular (support) level, crossovers of different moving averages or of price action over moving averages. Whilst this is a safe way to trade, the price paid is lost earnings , whilst one waits for price/moving averages to reach a particular level/configuration. So for instance price may have to move X% before it crosses over a critical level and only then is a trade taken - the X% is usually 'lost'.
THE 'SOLUTION'
My motivation was to write a buy and sell indicator which makes (long) calls as early as possible therefore maximising profits and minimising losses whilst also identifying local tops at which profits may be taken if so desired.
THE METHOD
The philosophy of this indicator is centred around analysis of candlestick parameters for the present candle and comparing these to those of previous candles at set points. The results of these comparisons are then correlated with moving averages of price action and in so doing one is able to detect shift reversals earlier than conventional indicators would. Consequently, a signal can be created very close to the bottom of a rally. In addition, a 'take profit' signal can be created from what has been identified as a local top. Please refer to the attached chart where it becomes evident quite immediately that buy and TP signals allow for maximisation of a given trend, hence maximisation of profits.
MARKETS
The script may be applied to any market i.e. crypto, forex, stocks - as long as there's a chart on Tradingview, it will work.
CONDITIONS
The script works well in all time frames. Obviously at higher time frames one gets 'cleaner' signals since high time frames are themselves a kind of filter, given that lower time frames are 'busy' by nature.
CAVEAT
Whilst great care and attention has been put into polishing and re-polishing this script, it needs to be stated that it's not perfect. Two issues that one needs to be aware of:
1.) Sometimes signals will not be made as early as the actual bottom of a rally.
Mitigation for this is two fold:
a.) Most of the calls made by the script are close to a bottom and therefore profits realised from this are far more than any losses accrued from a late call.
b.) The script should never be used in isolation but along with TA strategies and common sense.
2. Sometimes a 'bad' call will be made.
Mitigation for this is two fold:
a.) The script has a 'smart' feature that calls for exit signals as soon as it's realised that the long call was not a favourable one. This enables one to minimise losses by cutting them quickly.
b.) The script should never be used in isolation but along with TA strategies and common sense.
PLEASE PERUSE ATTACHED CHART
I encourage you to please peruse the attached 'GOBTC' chart for a demonstration of the script in play.
HOW TO GET AND USE THE SCRIPT
Since its invite only, please PM me and I will be happy to add you. Once added, you will see the list under Indicators>Inviteonlyscripts>TRADERS COMPANION at which point you click and it will show on your chart. It also needs to be stated that there is a no obligation trial period during which one is encouraged to 'test-drive' the script to ones hearts content.
Technical Analyst by DGTWho needs a Technical Analyst?
yes I can hear someone is asking for, and here is one that can help you with technical analysis
The analyst will present a technical anlaysis report at a glance calculated by the most popular technical indicators , and the good part, the anlayst will do it voluntarily
technical skills of the analyst:
- experienced an all markets
- ability to interpret moving averages
- ability to interpret volume changes
- ability to interpret trend folowing indicators such as:
* directional movement index (dmi), identify trend strength and trend direction
* complex ichimoku cloud , identify trend stregth, and tk crosses
- ability to interpret oscillators such as:
* relative strength index, identify oversold overbought levels, identify the rsi flow
* commodity channel index, identify oversold overbought levels
* awesome identify if grawing or falling
* macd if bullish or bearish, and macd histogram if grawing or falling
- ability to calculate probability and its trend
- non-stop hardworker,
- available 7/24,
- highly dedicated always on duty,
- open for new ideas and willing to learn
- upon request the analyst will create reports with custom settings of your choise
the analyst is not a decition maker, trading success is all about following your trading strategy and the analyst aims to help with the presented reports calculated by the most popular technical indicators
the analyst supports 9 of the popular technical indicators and is willing to learn more , please share your comments and feedbacks and help the analyst improve skills
cheers!
Disclaimer : The script is for informational and educational purposes only. Use of the script does not constitutes professional and/or financial advice. You alone the sole responsibility of evaluating the script output and risks associated with the use of the script. In exchange for using the script, you agree not to hold dgtrd TradingView user liable for any possible claim for damages arising from any decision you make based on use of the script
Convergence/divergence indicatorConvergence/divergence indicator (CDI)
Class : arbitrage oscillator
Trading type : intraday trading
Time frame : 1 hour
Purpose : trading on divergence
Level of aggressiveness : standard
Arbitrage - several logically related transactions aimed at profit from the difference in prices for the same or related assets at the same time in different markets.
Pair trading is a trading strategy based on trading a pair of financial instruments that have some fundamental or statistical relationship, expressed in the fact that the price ratio of these instruments tends to return to a certain average value in the long term.
“Convergence/divergence indicator (CDI)” using correlation analysis from different time frames provides information about statistical relationship between pair of assets.
Correaltion - a statistical relationship between two variables, showing that a larger value (in the case of positive, direct correlation) or a smaller (in the case of negative, inverse correlation) corresponds to a larger value of one value in a certain part of the cases.
The correlation coefficient is a statistical measure of the strength of the relationship between the relative movements of two variables.
The values range between -1.0 and 1.0.
A correlation of -1.0 shows a perfect negative correlation, while a correlation of 1.0 shows a perfect positive correlation.
A correlation of 0.0 shows no linear relationship between the movement of the two variables.
“Convergence/divergence indicator (CDI)” a) allows to find assets where pair arbitrage is possible and determines the moments in time and prices when the conditions for pair arbitrage are ideal.
“Convergence/divergence indicator (CDI)” evaluates the statistical relationship between pair of assets in a particular period of time and, if it is available, seeks for the divergence in price fluctuations of these “identical” assets.
“Convergence/divergence indicator (CDI)” displays the current value and dynamics of the Pearson correlation coefficient for a pair of selected assets based on daily (thick blue line) and hourly (thin red line) data.
Basic parameters:
- asset 1 (name of the trading instrument 1);
- asset 2 (name of the trading instrument 2);
- period_d (number of periods used to calculate daily correlation).
- period_h (number of periods used to calculate hourly correlation).
To gain the access to this indicator, please, send a private message to Trade24Fx.
MichaelIndicator «Michael»
Class : trend indicator
Trading type : intraday trading / mid-term trading
Time frame : 15 min -1 day
Purpose : trend trading, reversal points identification,
Level of aggressiveness : standard
Indicator “ Michael ” indicator is designed to identify a local trend and generate signals for trading in the direction of the current trend. It can be used to trade at time intervals from 15 minutes to 1 day. The frequency of the signals depends on the selected time interval, as well as the indicator settings. For example, on an interval of 15 minutes and standard settings, the number of trades will be about 5-10 per day.
The indicator combines the advantages of average analysis, as well as regression analysis, which allow you to decrease unnecessary noise in price dynamics and concentrate on the overall picture of price movement.
The main feature of the Michael indicator is an attempt to partially offset the main drawback of the analysis of averages - the delay of signals. Averages, by their nature, show what was, and not what will be. As a result, often the predicative abilities of this method of technical analysis are questioned. In order to improve the quality of the signals, auto-regression model is used in the indicator. As the result “Michael” shows not what was, but what will be. That is, the delayed signals of the moving averages are balanced by the auto-regression model. Overall, a trader gets a picture that optimally describes the current reality.
In “ Michael ”, two autoregressive models with different lags are used, which allows monitoring not only general, but also current moods in the market.
Indicator “ Michael ” checks for the presence of price deviations from equilibrium values. If such deviations are detected, the indicator generates signals in the direction of the local trend.
Structure of indicator
The indicator consists of the following elements:
- trend line (center line) - shows the current trend in the market using a special color display. Red is a downward trend, blue is an upward trend, green is a flat;
- volatility lines - black channel lines that monitor the level of volatility in the market. Their divergence is a signal of an increase in market volatility. Convergence - decrease in volatility;
- stop lines - show the calculated value of the stop / profit value for the position in case of signal generation at a specific moment in time.
Parameters of the indicator
To configure the indicator, the following parameters are provided:
- periodFAR (default value is 13) - period for determining a short-term trend. The higher it is, the more conservative will be the perception of an indicator of a trend.
- periodSAR (default value is 34) - period for determining the current trend. Responsible for the level of trade aggressiveness. The lower the value of this parameter, the more signals the indicator will generate and vice versa.
- Stop_period (default value is 21) - period for calculating stop lines.
- Stop_agressor (default value is 1) - the parameter responsible for the aggressiveness of stop losses. The higher it is, the wider the lines of stops are.
Rules of trading
The main purpose of the indicator is to determine the prevailing market sentiments: bullish (the trend line is colored blue), bearish (the trend line is colored red) or neutral (the trend line is colored green). Accordingly, with dominance in the bull market, only buy transactions are allowed, and in a bear market, sells are allowed.
Signals to enter positions are displayed on the chart. Stops are set below (for purchases) or above (for sales) the red lines.
Heiken AshiHeikin Ashi charts are similar to candle charts, but the main difference is that a Heikin Ashi chart uses daily price averages to show the movement of the average price of an asset.
The idea is to use the heikin Ashi technique as an indicator and not as the main chart, to avoid enter or exist the market too late.
Key concepts:
- The averaged open and close help filter some of the market noise, creating a chart that tends to highlight the trend direction better than typical candlestick charts.
- The downside is that some price data is lost with averaging. The most recent price (close) may not reflect the actual price of the asset, which could affect risk.
- Long down candles with little upper shadow represent strong selling pressure. Long up candles with small or no lower shadows signal strong buying pressure.
Extra functions in this indicator:
- Trend Bar indicator, uptrend(green), downtred(red), warning or indecision (yellow).
- Long and Short Labels base on trend and Heikin Ashi entries.
- Change the color of the main chart Candlesticks as the Heikin Ashi indicators.
- Alerts for long and short entries.
- Size of Labels.
Team TemaTema highlights bars based on the triple ema ( tema ) with two different length qualifiers.
The tema is believed to react quicker to price fluctuations than the simple moving average ( sma ), the exponential moving average ( ema ), and the double ema ( dema ). The shorter length tema crossing over the longer one is believed to indicate a bullish trend ahead, highlighted in green. The shorter length crossing below the longer one may indicate a bearish trend is on the way.
Benefits.
It has been found that most traders lose money because they panic early, and don't let profits run. Tema helps me to filter out trading noise , reduce stress and stay in profitable trades longer . Highlighting the candle wicks reveals trends in highs and lows that may be difficult to see otherwise. I like being able to adjust the settings and look back to see how much noise would have been good to filter out.
Things to watch out for.
Like other moving averages, the tema is a lagging indicator , vulnerable to false signals, especially during a large move up or down . Use with other indicators that are better designed for detecting tops and bottoms. Adjust the lengths to filter out what you think may be wrong signals. The settings are subjective , and it depends on the security and the time period. Manually create a note or reminder with your favorite settings for each. You may choose how much price fluctuation to filter out by going into settings, marked with the gear icon.
Unconfirmed sentiment arrow.
Tema draws an arrow of current sentiment , based on the unconfirmed price action of the faster tema. It shows where it thinks prices are presently going, barring other factors. Its main purpose is to extend a line from the end of the tema, so it is not difficult to see. Remember, it is probably wrong until the last bar closes. And even then, buyers or sellers could come along at any moment and change the outlook.
Entry FactorFind the most relevant price direction changes with ease, with this geometry-based indicator.
Stop wasting your time with moves that don't offer a satisfactory range for good profits.
Predictive channelsWith this powerful and simple indicator, you can easily see where the micro-trend is moving and also find the best entry and exit points for your strategies with one look.
It has 5 behavior options from aggressive to ultra-conservative. It's plug and play, it's really that easy.
Easy Pro Trader IndicatorOur trading indicator is designed for swing traders. A simple but almost perfect indicator, which in itself almost an entire trading system.
You can see our indicator is available for almost every timeline. The timeline can by used in dark and light mode.
The daily timeframe is mostly the best for bigger profits.
Easy Pro Trader is not responsible for any losses you may incur as result of using our Indicator.
Oasis Trend StrategyThis is a simple script developed to give a quick visual of trend on any given time frame.
This is a script that gives signals of trend switches. Can be used to for buying and selling signals.
On larger time Frames we use the Aqua and Fuchsia Clouds to express the larger time frame trends.
This can be used for long term swing trades especially useful with the 4hr, 6 hr, and daily chart to cancel out all the noise within the larger trends. The smaller Blue/Red Clouds can be used within trend if you are a skillful trader.
On smaller time frames (Intraday), we used the Blue and Red intraday price action. Is meant to be used
alongside with the Aqua/Fuchsia to create short term trades decisions within the short term trends indicated by the Aqua and Fuchsia.
The 9 ema is used to keep a close eye on short term directional changes.
You would want to see if price stays above or below this level along with its price action.
This should give you initial signs of strength or weakness.
The 55 ema (Black) is used to determine larger trend directional changes and for confirmation of trend shifts.
If interested, you can learn a lot just by watching the price react to these levels and can really visualize the price action that encompasses these averages.
We recommend that all traders study Technical patterns, Price action, Financial risk management, and other pre-trade planning strategies to minimize drawdown risk.
Please give us a like and a follow if you like this indicator. Its simple and very easy to use.
We are not financial advisors. We do not give financial advise. Please use this indicator at your free will.
We are not responsible for any financial losses or claims.
If you find this indicator very useful as I have, we do appreciate any amount of tips.
This will fund us to create more indicators to be made for your use.
BTC - 3PmVmmsnuLedg7umzVkLnarKRo43g6P5Tp
ETH - 0x9a1Ba8809687D8d9A1D32Ed1602abEef48060aF1
LTC - MAgqbC6Kev1x3L2GvNwzhZacyBRxCKJ8Mi
ZCash - t1UYRLzQxeaHCNYfA9cLChfBX5mbcNqworA
0x - 0x2B07D8BFB20b6eDb9A498113764082211cdFA2cE
Many free Tradingview users can benefit from our indicators as we employ many many useful indicators that can be toggled in each script to surpass the indicator limits.
Big 9 Volume - Volume indicator from exchanges with real volumeHere is a very basic indicator combining the volumes of the 9 biggest exchanges trading BTC/USD or BTC/USDT. These 9 exchanges were chosen based on the report by Bitwise Invest stating that 95% of the volume on CoinMarketCap is fake. On these 9 exchanges, however, volume data appears to be reliable. Please note BitFlyer was not included because it does not trade in USD. Please note also that data on all 9 exchanges is only available from June 2018.
Anyone is welcome to modify this and make it more elegant, this was just a quick implementation.
Linear Momentum and Performance Indicators (IFTA Jan 2019)This a porting to Trading View of the 12 new indicators introduced in IFTA Journal (January Edition) by Akram El Sherbini, MFTA, CFTe, CETA.
Indicators are available in "Linear Momentum and Performance Indicators" at page four.
IFTA Journal is available below:
ifta.org
Indicators implemented herein:
Linear Force Index: The linear force index LFI measures the force of buyers and sellers during rallies and declines, respectively. It combines two important pieces of market information—the price acceleration
and volumes.
Pressure Index: The pressure index PRI measures the buying and selling pressure over a certain range within a time interval by moving around its zero line. The index indicates a rise in buying pressure when it crosses above the zero line and a rise in selling pressure
when it crosses below the zero line level. The buying and selling force moves the last price during the session to form a range with low and high boundaries.
Strength Index Index : The strength index SI is a leading indicator to the pressure index. It measures the ability of buyers to resist sellers and vice versa. SI of today is the ratio of the latest pressure index value to the strain of today.
Power Index : It measures the buying and selling power within a time interval by moving around its zero line.
Intensity Index : The intensity index II measures the buying and selling intensity within a time interval by moving around its zero line.
Dynamic Strength Index : The sole purpose of the dynamic strength index DSI and the integral dynamic strength index IDSI is to lead their intensity indicator peers.
Integral Force Index
Integral Pressure Index
Integral Strength Index
Integral Power Index
Integral Intensity Index
Integral Dynamic Strength Index
The following example shows a trade following the signal while several indicators are crossing the zero line:
Integral performance indicators have a fewer number of trades than the performance indicators. This result is normal, as the integral indicators are less sensitive than their peers. Moreover, the power, intensity, and dynamic strength are less sensitive than the force, pressure, and strength indicators. The same applies for their integrals. Therefore, the integrals of power, intensity, and dynamic strength indicators are more inclined to be medium-term indicators.
As the paper is suggesting "the linear momentum and the new performance indicators should make a significant change in categorizing several indicators in technical analysis."
Technical indicators are using biased mathematical implementations. For example Momentum Index is in reality a velocity indicator, Force index a Momentum indicator and so on. From a Physical perspective correct momentum, force, velocity etc. needs to be corrected and re-categorized.
The author also gives important insights in how these indicators can be used "simultaneously to identify price turning points and filter irrelevant divergences."
"This paper will attempt to adjust the price momentum and force concepts introduced by Welles Wilder and Alexander Elder, respectively. By introducing the concept of linear momentum, new indicators will emerge to dissect the market performance into six main elements: market’s force, pressure, strength, power, intensity, and dynamic strength. This will lead to a deeper insight about market action. The leading performance indicators can be used simultaneously to identify price turning points and filter irrelevant divergences. The linear momentum and the new performance indicators should make a significant change in categorizing several indicators in technical analysis."
Suggestions and feedback are welcome
Hope you enjoy this,
CryptoStatistical
multiple SMA EMA BB full mod + timeframeyou can add as much SMA EMA BB as you want by editting the source code
just remove the // from the indicator code
[SSABU] Satoshi Calculator
✅ Satoshi Calculator Indicators.
This indicator is a supplementary index that tells you the price of the alt coin when you enter the price of the key currency and the appropriate satoshi.
Once you have entered the original price of the bit as an input value, you can enter the price of the satco of the desired altcoin to get the original price of the altcoin.
(Same in dollar terms)
✅ Satoshi Calculator 지표 입니다.
본 지표는 기축통화의 가격과 그에 맞는 사토시를 입력하면 알트코인의 가격을 알려주는 보조지표 입니다.
인풋값으로 비트의 원화가격을 입력한 뒤에 원하는 알트코인의 사토시의 가격을 입력하면 알트코인의 원화 가격을 알 수 있습니다.
(달러기준으로 하여도 똑같음)
✅ 매매에 도움되는 다른 보조지표
Basel major swing ver 2.21
PRO FrameworkINVITE ONLY SCRIPT:
FEATURES:
As its name suggests, Framework is here to offer a non-subjective frame of reference to traders. Effectively filtering 90% of prices offering poor risk management opportunities. More importantly this is a multi-timeframe tool that will scan across three time frames all at once, offering a final synthesized rendering. Our goal was to provide a professional grade dynamic price analysis without bloating the chart with numerous plots. Nevertheless they are complex tools requiring extensive learning. To support students in their journey, there is a wide open online community of users in our Discord channel, providing peer-to-peer assistance to progress with the strategy as well as tutored courses.
OUTPUTS:
To share a brief description of the indicators functioning, we will scroll through the major set of outputs that are presented to the user. Please note that the indicator is meant to assist from Junior to Senior expertise, to achieve this we have set different base templates right into the indicators. To keep this description simple, we will present the outputs you’ll see with the beginner setup:
Context Channel: composed of two “ribbons” one above the price and one below. It represents the dynamic zones of supply and demand, where prices are likely to find support and resistance for the given chart timeframe. They are representing complex algorithmic versions of channels evolving over time, while adapting to both ranges and trend conditions. Allowing to visualize the current price channel which the price is trading within, but also review the history of past dynamics. Ultimately, studying both the recent and past context behavior tells us everything we need about the price structure.
Average Price: Corresponding to a simple 20 period moving average synchronized with the context channel reference timeframe. Looking at the channel’s position relative to this average will help us define the “context” of the market, thereby filtering the patterns we will be able to apply to this chart (range, trend, volatility).
Breakout Targets: represented by small plots on the chart (cross, square, diamond) they inform the trader that the market is attempting to move in a particular direction. Given the predetermined context in which that pattern triggers, this will help us in managing the risk.
Price Confirmations: corresponding to the small triangle plots on the chart, they are automatically calculated to determine areas where other traders might have taken actions. These triangles aren’t a trading signal per say, they will be the trigger for our trades with the PRO Strategy, but only when patterns are active (meaning we are in the right context, and have enough risk limitation elements to justify entry).
Auto-Fibonacci: As most of our patterns include certain retracement rules, we decided to include a built-in fibonacci plotting tool. The outputs will automatically update with new prices, allowing users to use it as a trigger for the TradingView alerts system.
Automated Context Detection: the actual real Intellectual property and added value of PRO Indicators resides in our semi-automated system, based on the complex algorithmic detection of potentially favorable contexts to apply the strategy on. This also means that you can set alerts, and let the cloud monitor the market and be notified when the conditions are deemed viable. As you progress to more Senior contexts and adjust the indicators’ template setup, more complex alerts will be detected.
GENERAL STRATEGY:
Overall, the PRO Strategy combines two “core” indicators, Framework and Momentum. Framework is plotted on the main chart section as an overlay, it is definitely the most important as it guides the user through the hard process of filtering prices and timeframes that are suitable for technical analysis. On the other hand, PRO Momentum is on a separate oscillator tab under the chart section, it will study the momentum and cyclical structure, also offering automated pattern detection. Ultimately, our strategy is based on collecting and processing non-subjective rules, emanating from the indicators outputs. Essentially, this means that the indicator actually takes care of producing all the necessary binary outputs, leaving you with the remaining task of combining them correctly following the strategy’s patterns.
RISK LIMITATION:
Even if we provide semi-automated detection of viable contexts, there is no “one-click” or "easy-win” solution, the user still needs to carefully review the elements. When applicable pattern rules are confirmed, the user will gather risk-limitation information (breakout targets, price confirmations, momentum and cyclical coordination) and decide whether or not to trade according to its own risk profile. If so, the position sizing, stop-loss positioning, risk management and profit targets will all be defined according to the same indicator’s outputs. This effectively suppresses most behavioral and personal biases the trader could introduce, creating a stable and statistical risk management structure aiming for a durable profitability.
