American Approximation Bjerksund & Stensland 2002 [Loxx]American Approximation Bjerksund & Stensland 2002 is an American Options pricing model. This indicator also includes numerical greeks. You can compare the output of the American Approximation to the Black-Scholes-Merton value on the output of the options panel.
The Bjerksund & Stensland (2002) Approximation
The Bjerksund and Stensland (2002) approximation divides the time to maturity into two parts, each with a separate flat exercise boundary. It is thus a straightforward generalization of the Bjerksund-Stensland 1993 algorithm. The method is fast and efficient and should be more accurate than the Barone-Adesi and Whaley (1987) and the Bjerksund and Stensland (1993b) approximations. The algorithm requires an accurate cumulative bivariate normal approximation. Several approximations that are described in the literature are not sufficiently accurate, but the Genze algorithm works.
C = alpha2*S^B - alpha2*phi(S, t1, B, I2, I2)
+ phi(S, t1, I2, I2) - phi(S, t1, I, I1, I2)
- X*phi(S, t1, 0, I2, I2) + X*phi(S, t1, 0, I1, I2)
+ alpha1*phi(X, t1, B, I1, I2) - alpha1*psi*St, T, B, I1, I2, I1, t1)
+ psi(S, T, 1, I1, I2, I1, t1) - psi(S, T, 1, X, I2, I1, t1)
- X*psi(S, T, 0, I1, I2, I1, t1) + psi(S, T, 0 ,X, I2, I1, t1)
where
alpha1 = (I1 - X)*I1^-B
alpha2 = (I2 - X)*I2^-B
B = (1/2 - b/v^2) + ((b/v^2 - 1/2)^2 + 2*(r/v^2))^0.5
The function psi(S, T, y, H, I) is given by
psi(S, T, gamma, H, I) = e^lambda * S^gamma * (N(-d) - (I/S)^k * N(-d2))
d = (log(S/H) + (b + (gamma - 1/2) * v^2) * T) / (v * T^0.5)
d2 = (log(I^2/(S*H)) + (b + (gamma - 1/2) * v^2) * T) / (v * T^0.5)
lambda = -r + gamma * b + 1/2 * gamma * (gamma - 1) * v^2
k = 2*b/v^2 + (2 * gamma - 1)
and the trigger price I is defined as
I1 = B0 + (B(+infi) - B0) * (1 - e^h1)
I2 = B0 + (B(+infi) - B0) * (1 - e^h2)
h1 = -(b*t1 + 2*v*t1^0.5) * (X^2 / ((B(+infi) - B0))*B0)
h2 = -(b*T + 2*v*T^0.5) * (X^2 / ((B(+infi) - B0))*B0)
t1 = 1/2 * (5^0.5 - 1) * T
B(+infi) = (B / (B - 1)) * X
B0 = max(X, (r / (r - b)) * X)
Moreover, the function psi(S, T, gamma, H, I2, I1, t1) is given by
psi(S, T, gamma, H, I2, I1, t1, r, b, v) = e^(lambda * T) * S^gamma * (M(-e1, -f1, rho) - (I2/S)^k * M(-e2, -f2, rho)
- (I1/S)^k * M(-e3, -f3, -rho) + (I1/I2)^k * M(-e4, -f4, -rho))
where (see screenshot for e and f values)
b=r options on non-dividend paying stock
b=r-q options on stock or index paying a dividend yield of q
b=0 options on futures
b=r-rf currency options (where rf is the rate in the second currency)
Inputs
S = Stock price.
K = Strike price of option.
T = Time to expiration in years.
r = Risk-free rate
c = Cost of Carry
V = Variance of the underlying asset price
cnd1(x) = Cumulative Normal Distribution
cbnd3(x) = Cumulative Bivariate Normal Distribution
nd(x) = Standard Normal Density Function
convertingToCCRate(r, cmp ) = Rate compounder
Numerical Greeks or Greeks by Finite Difference
Analytical Greeks are the standard approach to estimating Delta, Gamma etc... That is what we typically use when we can derive from closed form solutions. Normally, these are well-defined and available in text books. Previously, we relied on closed form solutions for the call or put formulae differentiated with respect to the Black Scholes parameters. When Greeks formulae are difficult to develop or tease out, we can alternatively employ numerical Greeks - sometimes referred to finite difference approximations. A key advantage of numerical Greeks relates to their estimation independent of deriving mathematical Greeks. This could be important when we examine American options where there may not technically exist an exact closed form solution that is straightforward to work with. (via VinegarHill FinanceLabs)
Things to know
Only works on the daily timeframe and for the current source price.
You can adjust the text size to fit the screen
Search in scripts for "ST+A股+股票列表"
Trend SuggestionsThis brings together a number of variables to produce trend predictions that could be utilized as decision-making tools.
Uses the aforementioned price and volume derivatives
- A moving average and three weighted moving averages (WMA1, WMA2, WMA3)
- Super Trend Line (ST)
- Opening Range Breakout on Five Minutes, Resistance Bands Pocket pivots, support, and price volume
he Direction is determined by the High and Low Bands of WMAs and the Supertrend Line, which are used to determine the Upper and Lower Lines around the Price. When the price passes below the lower boundary of the band, a downtrend is said to have begun.
Similarly, for an uptrend, this continues until the price passes over the upper edge of the band. Teal for an uptrend and fuchsia for a downturn area shared by the band to identify the trend.
The first five minutes of the breakout lines have a tiny buffer augmentation of 11% applied to them.
Based on what has been observed, support and resistance zones have been somewhat changed from the figures that are often utilized (might work other markets as well)
The markings that may be seen are as follows:
- Blue Triangle indicates a pocket pivot with an upward bias;
- Maroon Triangle indicates a pocket pivot with a downward bias;
- Teal colored Diamonds indicate price upthrusts and potential trend confirmation locations, depending on success or failure.
- Similar backdrop color changes that look as vertical shading are also used to identify them.
- Fuchsia-colored diamonds indicate price declines and a potential trend, depending on whether it persists or fails.
- Dark green and maroon square boxes indicate potential price reversals in the support and resistance bands, respectively.
It goes without saying that this work is derived from numerous other open-source community initiatives.
Feel free to adjust anything you'd like, and we appreciate any feedback.
FDI-Adaptive Supertrend w/ Floating Levels [Loxx]FDI-Adaptive Supertrend w/ Floating Levels is a Fractal Dimension Index adaptive Supertrend indicator. This allows Supertrend to better adaptive to volatility of the market. This also includes floating levels that act as support and resistance, stop loss or take profit, or indication of market reversal. Additional signal types will be added in the future based on these floating levels.
What is the Fractal Dimension Index?
The goal of the fractal dimension index is to determine whether the market is trending or in a trading range. It does not measure the direction of the trend. A value less than 1.5 indicates that the price series is persistent or that the market is trending. Lower values of the FDI indicate a stronger trend. A value greater than 1.5 indicates that the market is in a trading range and is acting in a more random fashion.
What is the Supertrend?
Supertrend indicator was created by Olivier Seban to work on different time frames. It works for futures , forex, and equities. It is used in 15 minutes, hourly, weekly, and daily charts . Based on the parameters of multiplier and period, the indicator normally uses 3 for multiplier and 7 for the ATR period as default values. Average True Range is represented by the number of days while the multiplier is the value by which the range is multiplied.
Included:
Bar coloring
Alerts
Signals
Hitokiri rsi and bbNG : This indicator is created by combining the standard period RSI indicator with an Oversold limit of 32, an Overbought limit of 70 and a period of 14 (these values can be changed optionally from the entries and still tabs of the indicator settings) and the Bollinger Band . indicator with a standard deviation of 2 and a period of 20. Also, the RSI Oversold is an upward green triangle where the price simultaneously falls below the BB and the lower limit (Low) (i.e. below 32), where the RSI Overbought (i.e. above 70) at the same time the price rises above the BB and the upper limit (Upper) is a downward red triangle. is indicated by a triangle. An alarm condition is established on these conditions. Source codes are posted visually and written in clear language and with explanations for beginners to learn to pine.
TR : Bu gösterge OverSold sınırı 32, OverBought sınırı 70 ve periodu 14 olan (bu değerler tercihe göre indikatör ayarlarının girdiler ve still sekmelerinden değiştirilebilir) standart periodluk RSI göstergesi ile standart sapma değeri 2, periodu 20 olan Bollinger Bandı göstergesinin birleştirilmesiyle oluşturulmuş olup ilaveten RSI'nin OverSold iken (yani 32 altına düştüğü) aynı anda fiyatın BBand alt sınırı (Lower) altına düştüğü yerleri yukarı yönlü yeşil üçgenle, RSI'nin OverBought iken (yani 70 üstüne çıktığı) aynı anda fiyatın BBand üst sınırı (Upper) üstüne çıktığı yerleri aşağı yönlü kırmızı üçgenle belirtmektedir. Bu şartlar üzerine de alarm kondüsyonu oluşturulmuştur. Kaynak kodları görünür olarak yayınlanmış olup, pine öğrenmeye yeni başlayanlar için anlaşılır dilde ve açıklamalar eklenerek yazılmıştır.
Adaptive Supertrend w/ Floating Levels [Loxx]Adaptive Supertrend w/ Floating Levels is a Supertrend indicator made adaptive by comparing the coefficient of determination / average of the least squares. The basic concept is this: use correlation with an r-squared line to adapt the period of the indicator, thereby resulting in a more versatile Supertrend. This adaptive formula makes the Supertrend more reactive to small fluctuation in the market while still doing what it's supposed to do: track trend. In addition, floating levels are drawn above or below the Supertrend which are calculated with percentage of the highest and lowest values of the Supertrend within the last “lookback” period. These floating levels act as filter to detect / prevent false trend reversals. T
What is the Supertrend?
Supertrend indicator was created by Olivier Seban to work on different time frames. It works for futures, forex, and equities. It is used in 15 minutes, hourly, weekly, and daily charts. Based on the parameters of multiplier and period, the indicator normally uses 3 for multiplier and 7 for the ATR period as default values. Average True Range is represented by the number of days while the multiplier is the value by which the range is multiplied.
Included
-Toggle on/off bar coloring
-Toggle on/off adaptivity
-Toggle on/off fill coloring
Strategy Table LibraryLibrary "table_library"
TODO: With this library, you can add tables to your strategies.
strategy_table()
Returns: Strategy Profit Table
Adds a table to the graph of the strategy for which you are calling the function. You can see data such as net profit in this table.
No parameters. Just call the function inside the strategy.
Example Code :
import only_fibonacci/table_lib/1 as st
st.strategy_table()
RSI and BBand simultaneously OverSoldENG : This indicator is created by combining the standard period RSI indicator with an Oversold limit of 32, an Overbought limit of 70 and a period of 14 (these values can be changed optionally from the entries and still tabs of the indicator settings) and the Bollinger Band. indicator with a standard deviation of 2 and a period of 20. Also, the RSI Oversold is an upward green triangle where the price simultaneously falls below the BB and the lower limit (Low) (i.e. below 32), where the RSI Overbought (i.e. above 70) at the same time the price rises above the BB and the upper limit (Upper) is a downward red triangle. is indicated by a triangle. An alarm condition is established on these conditions. Source codes are posted visually and written in clear language and with explanations for beginners to learn to pine.
TR : Bu gösterge OverSold sınırı 32, OverBought sınırı 70 ve periodu 14 olan (bu değerler tercihe göre indikatör ayarlarının girdiler ve still sekmelerinden değiştirilebilir) standart periodluk RSI göstergesi ile standart sapma değeri 2, periodu 20 olan Bollinger Bandı göstergesinin birleştirilmesiyle oluşturulmuş olup ilaveten RSI'nin OverSold iken (yani 32 altına düştüğü) aynı anda fiyatın BBand alt sınırı (Lower) altına düştüğü yerleri yukarı yönlü yeşil üçgenle, RSI'nin OverBought iken (yani 70 üstüne çıktığı) aynı anda fiyatın BBand üst sınırı (Upper) üstüne çıktığı yerleri aşağı yönlü kırmızı üçgenle belirtmektedir. Bu şartlar üzerine de alarm kondüsyonu oluşturulmuştur. Kaynak kodları görünür olarak yayınlanmış olup, pine öğrenmeye yeni başlayanlar için anlaşılır dilde ve açıklamalar eklenerek yazılmıştır.
Co-relation and St-deviation Strategy - BNB/USDT 15minThis indicator based on statistical analysis. it uses standard deviation and its co-relation to price action to generate signals. and following indicators has been used to calculate standard deviation and its co-relation values. finally it is capable to identify market changes in bottoms to pic most suitable points.
1. Parabolic SAR (parabolic stop and reverse)
2. Supertrend
3. Relative strength index (RSI)
4. Money flow index (MFI)
5. Balance of Power
6. Chande Momentum Oscillator
7. Center of Gravity (COG)
8. Directional Movement Index (DMI)
9. Stochastic
10. Symmetrically weighted moving average with fixed length
11. True strength index (TSI)
12. Williams %R
13. Accumulation/distribution index
14. Intraday Intensity Index
15. Negative Volume Index
16. Positive Volume Index
17. On Balance Volume
18. Price-Volume Trend
19. True range
20. Volume-weighted average price
21. Williams Accumulation/Distribution
22. Williams Variable Accumulation/Distribution
23. Simple Moving Average
24. Exponential Moving Average
25. CCI (commodity channel index)
26. Chop Zone
27. Ease of Movement
28. Detrended Price Oscillator
29. Advance Decline Line
30. Bull Bear Power
Divergence for Many Indicators v4 STHello Traders.
This is the Strategy version of Divergence for Many Indicators v4, an easy and comfortable indicator.
- - - -
*It's been modified a little bit from the original.
*I got permission from the original author.
*I'm not good at English, I'm sorry.
- - - -
< 4 things to check >
1. Since repainting is not performed, the first imprinted signal can be accurately seen.
2. It does not respond to continuous diversions.
3. If the opposite diversity is not imprinted, caution is required as it is designed not to indicate liquidation. Be careful when reading the figures shown in the strategy tester.
4. Added stop loss and take propirane.
< What changed? >
1. pivot period 5 - > 9
2. Money Flow index and Chaikin Money Flow are released.
- - - -
KOR SUB
< 4가지 확인 사항 >
1. 리페인팅이 없으므로 첫 번째로 각인된 신호를 정확히 볼 수 있습니다.
2. 연속된 다이버젼스에 대해서는 반응하지 않습니다.
3. 반대의 다이버젼스가 각인되지 않으면 청산 표시를 하지 않도록 설계되어 있으므로 주의를 요합니다.
4. 스탑 로스와 테이크 프로핏 항목을 추가하였습니다.
< 무엇이 변경되었나? >
1. 피봇 페리어드 값이 조금 수정되었습니다.
2. MFI & CMF 가 체크 해제된 상태입니다.
THANK YOU ^^
Indicator Functions with Factor and HeikinAshiHello all,
This indicator returns below selected indicators values with entered parameters.
Also you can add factorization, functions candles, function HeikinAshi and more to the plot.
VERSION:
Version 1: returns series only source and Length with already defined default values
Version 2: returns series with source, Length, p1 and p2 parameters according to the indicator definition (ex: )
PARAMETERS p1 p2
for defining multi arguments (See indicators list) indicator input value usable with verison=V2 selected.. ex: for alma( src , len ,offset=0.85,sigma=6), set source=source, len=length, p1=0.85 an p2=6
FACTOR:
Add double triple, Quadruple factors to selected indicator (like converting EMA to 2-DEMA, 3-TEMA, 4-QEMA...)
1-Original
2-Double
3-Triple
4-Quadruple
LOG
Log: Use log, log10 on function entries
PLOTTING:
PType: Plotting type of the function on the screen
Original :use original values
Org. Range (-1,1): usable for indicators between range -1 and 1
Stochastic: Convert indicator values by using stochastic calculation between -1 & 1. (use AT/% length to better view)
PercentRank: Convert indicator values by using Percent Rank calculation between -1 & 1. (use AT/% length to better view)
ST/%: length for plotting Type for stochastic and Percent Rank options
Smooth: Use SWMA for smoothing the function
DISPLAY TYPES
Plot Candles: Display the selected indicator as candle by implementing values
Plot Ind: Display result of indicator with selected source
HeikinAshi: Display Selected indicator candles with Heikin Ashi calculation
INDICATOR LIST:
hide = 'DONT DISPLAY', //Dont display & calculate the indicator. (For my framework usage)
alma = 'alma( src , len ,offset=0.85,sigma=6)', // Arnaud Legoux Moving Average
ama = 'ama( src , len ,fast=14,slow=100)', //Adjusted Moving Average
acdst = 'accdist()', // Accumulation/distribution index.
cma = 'cma( src , len )', //Corrective Moving average
dema = 'dema( src , len )', // Double EMA (Same as EMA with 2 factor)
ema = 'ema( src , len )', // Exponential Moving Average
gmma = 'gmma( src , len )', //Geometric Mean Moving Average
hghst = 'highest( src , len )', //Highest value for a given number of bars back.
hl2ma = 'hl2ma( src , len )', //higest lowest moving average
hma = 'hma( src , len )', // Hull Moving Average .
lgAdt = 'lagAdapt( src , len ,perclen=5,fperc=50)', //Ehler's Adaptive Laguerre filter
lgAdV = 'lagAdaptV( src , len ,perclen=5,fperc=50)', //Ehler's Adaptive Laguerre filter variation
lguer = 'laguerre( src , len )', //Ehler's Laguerre filter
lsrcp = 'lesrcp( src , len )', //lowest exponential esrcpanding moving line
lexp = 'lexp( src , len )', //lowest exponential expanding moving line
linrg = 'linreg( src , len ,loffset=1)', // Linear regression
lowst = 'lowest( src , len )', //Lovest value for a given number of bars back.
pcnl = 'percntl( src , len )', //percentile nearest rank. Calculates percentile using method of Nearest Rank.
pcnli = 'percntli( src , len )', //percentile linear interpolation. Calculates percentile using method of linear interpolation between the two nearest ranks.
rema = 'rema( src , len )', //Range EMA (REMA)
rma = 'rma( src , len )', //Moving average used in RSI . It is the exponentially weighted moving average with alpha = 1 / length.
sma = 'sma( src , len )', // Smoothed Moving Average
smma = 'smma( src , len )', // Smoothed Moving Average
supr2 = 'super2( src , len )', //Ehler's super smoother, 2 pole
supr3 = 'super3( src , len )', //Ehler's super smoother, 3 pole
strnd = 'supertrend( src , len ,period=3)', //Supertrend indicator
swma = 'swma( src , len )', //Sine-Weighted Moving Average
tema = 'tema( src , len )', // Triple EMA (Same as EMA with 3 factor)
tma = 'tma( src , len )', //Triangular Moving Average
vida = 'vida( src , len )', // Variable Index Dynamic Average
vwma = 'vwma( src , len )', // Volume Weigted Moving Average
wma = 'wma( src , len )', //Weigted Moving Average
angle = 'angle( src , len )', //angle of the series (Use its Input as another indicator output)
atr = 'atr( src , len )', // average true range . RMA of true range.
bbr = 'bbr( src , len ,mult=1)', // bollinger %%
bbw = 'bbw( src , len ,mult=2)', // Bollinger Bands Width . The Bollinger Band Width is the difference between the upper and the lower Bollinger Bands divided by the middle band.
cci = 'cci( src , len )', // commodity channel index
cctbb = 'cctbbo( src , len )', // CCT Bollinger Band Oscilator
chng = 'change( src , len )', //Difference between current value and previous, source - source.
cmo = 'cmo( src , len )', // Chande Momentum Oscillator . Calculates the difference between the sum of recent gains and the sum of recent losses and then divides the result by the sum of all price movement over the same period.
cog = 'cog( src , len )', //The cog (center of gravity ) is an indicator based on statistics and the Fibonacci golden ratio.
cpcrv = 'copcurve( src , len )', // Coppock Curve. was originally developed by Edwin "Sedge" Coppock (Barron's Magazine, October 1962).
corrl = 'correl( src , len )', // Correlation coefficient . Describes the degree to which two series tend to deviate from their ta. sma values.
count = 'count( src , len )', //green avg - red avg
dev = 'dev( src , len )', //ta.dev() Measure of difference between the series and it's ta. sma
fall = 'falling( src , len )', //ta.falling() Test if the `source` series is now falling for `length` bars long. (Use its Input as another indicator output)
kcr = 'kcr( src , len ,mult=2)', // Keltner Channels Range
kcw = 'kcw( src , len ,mult=2)', //ta.kcw(). Keltner Channels Width. The Keltner Channels Width is the difference between the upper and the lower Keltner Channels divided by the middle channel.
macd = 'macd( src , len )', // macd
mfi = 'mfi( src , len )', // Money Flow Index
nvi = 'nvi()', // Negative Volume Index
obv = 'obv()', // On Balance Volume
pvi = 'pvi()', // Positive Volume Index
pvt = 'pvt()', // Price Volume Trend
rise = 'rising( src , len )', //ta.rising() Test if the `source` series is now rising for `length` bars long. (Use its Input as another indicator output)
roc = 'roc( src , len )', // Rate of Change
rsi = 'rsi( src , len )', // Relative strength Index
smosc = 'smi_osc( src , len ,fast=5, slow=34)', //smi Oscillator
smsig = 'smi_sig( src , len ,fast=5, slow=34)', //smi Signal
stdev = 'stdev( src , len )', //Standart deviation
trix = 'trix( src , len )' , //the rate of change of a triple exponentially smoothed moving average .
tsi = 'tsi( src , len )', //True Strength Index
vari = 'variance( src , len )', //ta.variance(). Variance is the expectation of the squared deviation of a series from its mean (ta. sma ), and it informally measures how far a set of numbers are spread out from their mean.
wilpc = 'willprc( src , len )', // Williams %R
wad = 'wad()', // Williams Accumulation/Distribution .
wvad = 'wvad()' //Williams Variable Accumulation/Distribution
I will update the indicator list when I will update the library
Thanks to tradingview, @RodrigoKazuma for their open source indicators
Volume TrendsThis script provides clear volume trends on any time frame. You set a long term volume trend moving average (ex 100 periods). A shorter term MA of your choice (10 in this example) will oscillate above and below based on the standard deviations of its current value relative to the long term #.
Similarly, large volume bars are plotted in terms of st dev above the long term MA.
Very useful in spotting capitulation bottoms and/or blow-off tops.
Divergence-Support/ResistenceAnother script based on zigzag, divergence, and to yield support and resistence levels.
This idea started with below two concepts:
▶ Support and resistence are simply levels where price has rejected to go further down or up. Usually, we can derive this based on pivots. But, if we start looking at every pivot, there will be many of them and may be confusing to understand which one to consider.
▶ Lot of people asked about one of my previous script on divergence detector on how to use it. I believe divergence should be considered as area of support and resistence because, they only amount to temporary weakness in momentum and nothing more. As per my understanding
Trend > Hidden Divergence > Divergence > Oscillator Levels of Overbought and Oversold
⬜ Process
▶ Now combining the above two concepts - what we are trying to do here is draw support resistence lines only on pivots which has observed either divergence or hidden divergence. Continuation and indecision pivots are ignored.
▶ Input requires only few parameters.
Zigzag lengths and oscillator to be used. Oscillator periods are automatically calculated based on zigzag length. Hence no other information required. You can also chose custom oscillator via external source.
▶ Display include horizontal lines of support/resistence which are drawn from the candle from where divergence or hidden divergence is detected.
▶ Support resistence lines are colored based on divergence. Green shades for bullish divergence and bullish hidden divergence whereas red shades for bearish divervence and bearish hidden divergence. Please note, red and green lines does not mean they only provide resistence or support. Any lines which are below the price should be treated as support and any line which are above the price should be treated as resistence.
▶ Divergence symbols are also printed on the bar from where divergence/hidden divergence is detected.
↗ - Bullish Hidden Divergence
↘ - Bearish Hidden Divergence
⤴ - Bullish Divergence
⤵ - Bearish Divergence
▶ Script also demonstrates usage of libraries effectively. I have used following libraries in this code.
import HeWhoMustNotBeNamed/ zigzag /2 as zg
import HeWhoMustNotBeNamed/enhanced_ta/8 as eta
import HeWhoMustNotBeNamed/ supertrend /4 as st
Can be good combination to use it with harmonic patterns.
Vol ST VMThis script works with super trend and volume. Based on super trend and MA signal we can go for buy/sell.
Use min 1Hr time frame.
We can use this mostly for 24Hr markets.
Matrix Altcoin-2RSI values of 40 altcoins on one screen
Matrix Altcoin 1 and 2 have a total of 80 altcoins
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Especially reverse scalping traders can follow the momentum from this screen.
BUTUN ALTCOİNLERIN RSİ DEĞERİ İŞTE.NE YAZAYIM NE İSTİYORSUN..
[VJ] Mega Supertrend for IntradayThis is a simple intraday strategy for working on Stocks or commodities based out on Super Trend and intraday's best friend - VWAP . You can modify the start time and end time based on your timezones. Session value should be from market start to the time you want to square-off
Important: The end time should be at least 2 minutes before the intraday square-off time set by your broker
Comment below if you get good returns
Strategy: Tweaked Super trend with VWAP
Indicators used :
Super trend is simple and easy to use indicator and gives a precise reading about an on going trend.It is built with two parameters, namely period and multiplier.The Buy and Sell signal modifies once the indicator tosses over the closing price. When the Super trend closes above the Price, a Buy signal is generated, and when the Super trend closes below the Price, a Sell signal is generated. In this case we use it only for direction .
Multiplier is a vital input for Super trend. If the multiplier value is too high, then lesser number of signals is made.
Volume is important as we don’t want to get stuck with a stock which has few takers, even if you think it is priced attractively. Thus, the VWAP was created to take into account both volume as well as Price so that the potential trader would make the trading decision or not.
In simple terms, the Volume Weighted Average price is the cumulative average price with respect to the volume
Buying/Selling
when the closing price starts moving up/down and farther from the VWAP, there is pressure among the traders to sell/buy, a general belief kicks in that it might be that the stock is overvalued/undervalued .This is the time when we couple the Super trend to take our entries
Usage & Best setting :
Choose a good volatile stock and a time frame - 5m.
ST multiplier : 3
There is stop loss and take profit that can be used to optimise your trade
The template also includes daily square off based on your time.
[VJ] Hulk Smash IntraThis is a simple intraday strategy for working on Stocks or commodities based out on Super Trend and ever reliable ADX . You can modify the start time and end time based on your timezones. Session value should be from market start to the time you want to square-off
Important: The end time should be at least 2 minutes before the intraday square-off time set by your broker
Comment below if you get good returns
Strategy: Supertrend and ADX strength (Hulk Smash)
Indicators used :
Super trend is simple and easy to use indicator and gives a precise reading about an on going trend.It is built with two parameters, namely period and multiplier.The Buy and Sell signal modifies once the indicator tosses over the closing price. When the Super trend closes above the Price, a Buy signal is generated, and when the Super trend closes below the Price, a Sell signal is generated. In this case we use it only for direction .
ADX informs a trader when the market is trending.It filters out anti trend trades to help trend chasing indicators from frequent whipsaws
Multiplier is a vital input for Super trend. If the multiplier value is too high, then lesser number of signals is made.
Buying/Selling
• If the price is going UP, and the ADX indicator is also going UP, then we have the case for a bullish trend.
• The same is true if the price is going down and the ADX indicator is going UP. Then we have the case for a bearish trend.
• Value of ADX below 20 is called trading zone which implies non-trending market
• Trade with Strength only if the Super trend is validating
ADX Values
0 - 20 : Non Trending (Range bound market, phase of Accumulation/Distribution)
20-45 : Strong Signal (helpful for traders)
45-60 : Very strong trend (occur rarely, indicate exhaustion)
60 - 100 : Extremely strong trend (very rare, unsustainable trends, be ready for reversals)
Usage & Best setting :
Choose a good volatile stock and a time frame - 5m.
ADX Factor : vary as per info above
ST multiplier : 3
There is stop loss and take profit that can be used to optimise your trade
The template also includes daily square off based on your time.
Average Volume Levels (Ortalama Hacim Seviyeleri)English:
The indicator is divided into 3 equal parts by taking the average of the incoming volume data. Those that reach the top are volume buying and selling, the middle section is normal buying and selling, and the bottom section is non-volume buying and selling.
I set the average reception length to 90 bars, so I aimed to prevent excessive regional work.
When the candle start and end price are the same, Yellow Color is formed and it is the possible price reversal zone, indicating that one of the buyers or sellers is finished.
You can receive High Volume Notifications by setting an alarm on the plugin.
Türkçe:
Gelen hacim verilerinin ortalaması alınarak gösterge 3 eşit parçaya bölünür. En üst kısma ulaşanlar hacimli alış ve satışlar, orta kısımda kalan kısım normal alış ve satışlar en alt kısımda kalanlar ise hacimsiz alış ve satışlardır.
Ortalama alış uzunluğunu 90 bar olarak ayarladım böylece aşırı bölgesel çalışılmasının önüne geçmeyi hedefledim.
Mum başlangıç ve bitiş fiyatı aynı olduğunda Sarı Renk oluşur ve muhtemel fiyat dönüş bölgesidir, alıcı yada satıcılardan bir tarafın bitirildiğine işaret eder.
Yüksek Hacim Bildirimlerini eklenti üzerine alarm kurarak alabilirsiniz.
Super SSLSuper SSL Indicator.
SSL + SuperTrend signal filtering.
Signals are delivered by SSL, signals are then filtered out by SuperTrend, in the nnfx way of trading (C1 = SSL, C2 = ST).
SSL deliver signals. Supertrend filter them.
Included 1CR rule option : in the nnfx way, we allow C2 to agree 1 candle later.
Some configuration settings of this tool pass the VP's 5 benchmark (can't be used to pass the private group admission though).
NR4 & NR7 IndicatorDisplays narrow range candles.Can adjust the input value to any period to look back.Ideal to use in daily and weekly time frame. Look out for clusters of NR candles depicting volatility contraction, and subsequent volatility expansion can be look forward to. The code is written by Rounak ST of Trade with trend.
Volume Weighted DeviationsVolume !weighted!
deviations.
Important: I don't really know how people generally compute deviations from VWAP/VWMA, but smth tells me generally it's just a Av Dev/St Dev based on mean, not on appropriate basis, like volume weighted mean in our case. This version is mathematically correct, it first calculates weighted mean, than utilizes this weighted in mean in AvDev & StDef functions modified to take into account weights.
sa-strategy with HTF-TSLEntry- based on HA close above HMA confirmation done with ST and HTF ATR
Exit- based on close below ATR which works as trailing SL
[Daveatt] BEST Quandl Federal Reserve Economic Dashboard 1.0Hello traders
I hope you're all doing well and the quarantine will soon be over in your respective countries.
We all have strong opinions on how it could have been handled by our respective governments but the facts cannot be contested.
And basically, they acted based on a lot of unknown data. Obviously, we can throw away some conspiracy theories but what's the point really?
Conspiracy theorists never ever ever ever made money - Permabulls did historically.
Fight only for what you can change, in other words, YOURSELF. Those 2 months were tremendous for me to adapt, learn, and pivot my different businesses.
I believe that humans are wired to one thing - transform themselves. You'll never be able to change our governments, the banks, the FED printing money (making it the dollar less and less valuable)
Transforming yourself and your life is the only (and the most powerful) hedge you have
Yes, you didn't ask for it, this is not fair. Life is not fair. Only YOU can make it fair for yourself
That's why I stopped listening to the media, social media and all the news related to COVID
Context
I wanted to play with the new Quandl utility function provided by TradingView
With this dashboard, I tried to build a Quandl dashboard based on the Federal Reserve Economic Data data
I pulled out a few metrics from this Quandl page: www.quandl.com
"Federal Reserve Economic Data" or FRED is a project by the Economic Research Department of the Federal Reserve Bank of St Louis.
FRED collects over 200,000 US and international economic time series, from 69 different sources, on a single website. Data coverage includes all major areas of macroeconomic analysis: growth, inflation, employment, interest rates, exchange rates, production and consumption, income and expenditure, savings and investment, and more.
What can you do with the indicator
First, kudos to Pinecoders . I used his color scale and f_print functions to display those labels at the right.
Script Reference:
You can change from the indicator settings:
- Labels horizontal position
- Labels size (tiny, normal, big, huge)
- Labels colors
Final words
Tough times are ahead as we can see from those numbers.
For those having an online business, it's a fantastic period despite the terrible events. Use it at your advantage to learn and share your vibes and knowledge with your audience
Stay brave,
Dave
