pandas_taLibrary "pandas_ta"
Level: 3
Background
Today is the first day of 2022 and happy new year every tradingviewers! May health and wealth go along with you all the time. I use this chance to publish my 1st PINE v5 lib : pandas_ta
This is not a piece of cake like thing, which cost me a lot of time and efforts to build this lib. Beyond 300 versions of this script was iterated in draft.
Function
Library "pandas_ta"
PINE v5 Counterpart of Pandas TA - A Technical Analysis Library in Python 3 at github.com
The Original Pandas Technical Analysis (Pandas TA) is an easy to use library that leverages the Pandas package with more than 130 Indicators and Utility functions and more than 60 TA Lib Candlestick Patterns.
I realized most of indicators except Candlestick Patterns because tradingview built-in Candlestick Patterns are even more powerful!
I use this to verify pandas_ta python version indicators for myself, but I realize that maybe many may need similar lib for pine v5 as well.
Function Brief Descriptions (Pls find details in script comments)
bton --> Binary to number
wcp --> Weighted Closing Price (WCP)
counter --> Condition counter
xbt --> Between
ebsw --> Even Better SineWave (EBSW)
ao --> Awesome Oscillator (AO)
apo --> Absolute Price Oscillator (APO)
xrf --> Dynamic shifted values
bias --> Bias (BIAS)
bop --> Balance of Power (BOP)
brar --> BRAR (BRAR)
cci --> Commodity Channel Index (CCI)
cfo --> Chande Forcast Oscillator (CFO)
cg --> Center of Gravity (CG)
cmo --> Chande Momentum Oscillator (CMO)
coppock --> Coppock Curve (COPC)
cti --> Correlation Trend Indicator (CTI)
dmi --> Directional Movement Index(DMI)
er --> Efficiency Ratio (ER)
eri --> Elder Ray Index (ERI)
fisher --> Fisher Transform (FISHT)
inertia --> Inertia (INERTIA)
kdj --> KDJ (KDJ)
kst --> 'Know Sure Thing' (KST)
macd --> Moving Average Convergence Divergence (MACD)
mom --> Momentum (MOM)
pgo --> Pretty Good Oscillator (PGO)
ppo --> Percentage Price Oscillator (PPO)
psl --> Psychological Line (PSL)
pvo --> Percentage Volume Oscillator (PVO)
qqe --> Quantitative Qualitative Estimation (QQE)
roc --> Rate of Change (ROC)
rsi --> Relative Strength Index (RSI)
rsx --> Relative Strength Xtra (rsx)
rvgi --> Relative Vigor Index (RVGI)
slope --> Slope
smi --> SMI Ergodic Indicator (SMI)
sqz* --> Squeeze (SQZ) * NOTE: code sufferred from very strange error, code was commented.
sqz_pro --> Squeeze PRO(SQZPRO)
xfl --> Condition filter
stc --> Schaff Trend Cycle (STC)
stoch --> Stochastic (STOCH)
stochrsi --> Stochastic RSI (STOCH RSI)
trix --> Trix (TRIX)
tsi --> True Strength Index (TSI)
uo --> Ultimate Oscillator (UO)
willr --> William's Percent R (WILLR)
alma --> Arnaud Legoux Moving Average (ALMA)
xll --> Dynamic rolling lowest values
dema --> Double Exponential Moving Average (DEMA)
ema --> Exponential Moving Average (EMA)
fwma --> Fibonacci's Weighted Moving Average (FWMA)
hilo --> Gann HiLo Activator(HiLo)
hma --> Hull Moving Average (HMA)
hwma --> HWMA (Holt-Winter Moving Average)
ichimoku --> Ichimoku Kinkล Hyล (ichimoku)
jma --> Jurik Moving Average Average (JMA)
kama --> Kaufman's Adaptive Moving Average (KAMA)
linreg --> Linear Regression Moving Average (linreg)
mgcd --> McGinley Dynamic Indicator
rma --> wildeR's Moving Average (RMA)
sinwma --> Sine Weighted Moving Average (SWMA)
ssf --> Ehler's Super Smoother Filter (SSF) ยฉ 2013
supertrend --> Supertrend (supertrend)
xsa --> X simple moving average
swma --> Symmetric Weighted Moving Average (SWMA)
t3 --> Tim Tillson's T3 Moving Average (T3)
tema --> Triple Exponential Moving Average (TEMA)
trima --> Triangular Moving Average (TRIMA)
vidya --> Variable Index Dynamic Average (VIDYA)
vwap --> Volume Weighted Average Price (VWAP)
vwma --> Volume Weighted Moving Average (VWMA)
wma --> Weighted Moving Average (WMA)
zlma --> Zero Lag Moving Average (ZLMA)
entropy --> Entropy (ENTP)
kurtosis --> Rolling Kurtosis
skew --> Rolling Skew
xev --> Condition all
zscore --> Rolling Z Score
adx --> Average Directional Movement (ADX)
aroon --> Aroon & Aroon Oscillator (AROON)
chop --> Choppiness Index (CHOP)
xex --> Condition any
cksp --> Chande Kroll Stop (CKSP)
dpo --> Detrend Price Oscillator (DPO)
long_run --> Long Run
psar --> Parabolic Stop and Reverse (psar)
short_run --> Short Run
vhf --> Vertical Horizontal Filter (VHF)
vortex --> Vortex
accbands --> Acceleration Bands (ACCBANDS)
atr --> Average True Range (ATR)
bbands --> Bollinger Bands (BBANDS)
donchian --> Donchian Channels (DC)
kc --> Keltner Channels (KC)
massi --> Mass Index (MASSI)
natr --> Normalized Average True Range (NATR)
pdist --> Price Distance (PDIST)
rvi --> Relative Volatility Index (RVI)
thermo --> Elders Thermometer (THERMO)
ui --> Ulcer Index (UI)
ad --> Accumulation/Distribution (AD)
cmf --> Chaikin Money Flow (CMF)
efi --> Elder's Force Index (EFI)
ecm --> Ease of Movement (EOM)
kvo --> Klinger Volume Oscillator (KVO)
mfi --> Money Flow Index (MFI)
nvi --> Negative Volume Index (NVI)
obv --> On Balance Volume (OBV)
pvi --> Positive Volume Index (PVI)
dvdi --> Dual Volume Divergence Index (DVDI)
xhh --> Dynamic rolling highest values
pvt --> Price-Volume Trend (PVT)
Remarks
I also incorporated func descriptions and func test script in commented mode, you can test the functino with the embedded test script and modify them as you wish.
This is a Level 3 free and open source indicator library.
Feedbacks are appreciated.
This is not the end of pandas_ta lib publication, but it is start point with pine v5 lib function and I will add more and more funcs into this lib for my own indicators.
Function Name List:
bton()
wcp()
count()
xbt()
ebsw()
ao()
apo()
xrf()
bias()
bop()
brar()
cci()
cfo()
cg()
cmo()
coppock()
cti()
dmi()
er()
eri()
fisher()
inertia()
kdj()
kst()
macd()
mom()
pgo()
ppo()
psl()
pvo()
qqe()
roc()
rsi()
rsx()
rvgi()
slope()
smi()
sqz_pro()
xfl()
stc()
stoch()
stochrsi()
trix()
tsi()
uo()
willr()
alma()
wcx()
xll()
dema()
ema()
fwma()
hilo()
hma()
hwma()
ichimoku()
jma()
kama()
linreg()
mgcd()
rma()
sinwma()
ssf()
supertrend()
xsa()
swma()
t3()
tema()
trima()
vidya()
vwap()
vwma()
wma()
zlma()
entropy()
kurtosis()
skew()
xev()
zscore()
adx()
aroon()
chop()
xex()
cksp()
dpo()
long_run()
psar()
short_run()
vhf()
vortex()
accbands()
atr()
bbands()
donchian()
kc()
massi()
natr()
pdist()
rvi()
thermo()
ui()
ad()
cmf()
efi()
ecm()
kvo()
mfi()
nvi()
obv()
pvi()
dvdi()
xhh()
pvt()
Cari dalam skrip untuk "vwap"
Bogdan Ciocoiu - Looking Glassโบ Description
The script shows a multi-timeline suite of information for the current ticker. This information refers to configurable moving averages, RSI, Stochastic RSI, VWAP and TSI data. The timeframes reflected in the script vary from 1m to 1h. I recommend the tool for 3m scalping as it provides good visibility upwards.
The headings from the table are:
{Close} - {MA1}
{Close} - {MA2}
{Close} - {MA3}
{MA1} - {MA2}
{MA2} - {MA3}
{RSI}
{Stoch RSI K}
{Stoch RSI D}
{VWAP}
{TSI}
{TSI EMA}
{TSI} - {TSI EMA}
โบ Originality and usefulness
This tool is helpful because it helps users read a chart much quicker than if they were to navigate between timeframes. The colour coding indicates an accident/descendant trend between any two values (i.e. close vs MA1, MA1-MA2, RSI K vs RSI D, etc.).
โบ Open-source reuse
www.tradingview.com
www.tradingview.com
www.tradingview.com
www.tradingview.com
www.tradingview.com
WaveTrend 4h/24mWaveTrend 4h/24m is a trading tool based on two WaveTrend timeframes.
For this script the WaveTrend calculations made by LazyBear were used. WaveTrend is a widely used indicator for finding direction of an asset.
The strategy is developed by Youtuber Jayson Casper. The main strategy on the 4 hour and 24 minute timeframes, this will be the default timeframes. Timeframes can be adjusted in the indicator interface.
With Jaysons' we wait for both timeframes to have last printed a green dot for longs, and both timeframes to have last printed a red dot for shorts. When this occurs a green diamond will be printed for longs, a red diamond for shorts.
Make sure to always use the chart from the smallest timeframe you're using, so by defaults use the 24 minute chart.
Features of the indicator:
- WaveTrend Timeframe 1 (Blue/Lightblue wave).
- WaveTrend Timeframe 2 (Blue/Purple line with filled background between the lines).
- VWAP (Yellow wave which is turned off by default)
- Green/Red Diamonds
What to look for?
This script is all about the Green and Red Diamonds.
A Green diamond will be printed when on both the 4 hour and 24 minute timeframe the last printed dot was a green dot.
A Red diamond will be printed when on both the 4 hour and 24 minute timeframe the last printed dot was a red dot.
What are the Green and Red Diamonds based on?
When both VWAP timeframes are ABOVE 0, a green diamond will be printed. This is equivalent to the last dot on both WaveTrend timeframes being a green dot.
When both VWAP timeframes are BELOW 0, a red diamond will be printed. This is equivalent to the last dot on both WaveTrend timeframes being a red dot.
Happy Trading!
PROFIT INDICATORFirst let me tell you which indicators have been used in this script so that you have the confidence while taking the trade:
(a) Bollinger Band with 20 SMA Inside it - Currently it is off, you can turn it on from settings.
(b) HMA 33, I have added the option of using two HMA's simultaneously. You can use HMA, EMA, SMA as per your settings and it would be color trending.
(c) VWAP- you can turn it on from settings
(d) CPR- you can turn it on from settings
(e) EMA's 20, 50, 200. Currently off, you can turn it on from settings.
(d) SMA's 50 and 200. Currently off, yu can turn it on from settings, if you want to use 20 SMA you can use bollinger band basis that is 20 period SMA.
(f) Trend bar at bottom on the basis of 50 EMA.
(g) Half Trend
(h) Trend strength Detector
(d) EMA 50 high and low to show the pac channel. I am not using this however as per request I have added this. Currently, it is trun on and you can turn it off from settings.
(f) Auto Fib levels
Please use a stick note for few days and mention imp notes before taking trade to check if all the conditions are matching to take the trade.
Buy Condition:-
1. Bolling band should be widely open.
2. Check the support and resistance from CPR. Candle should close above support in green.
3. Check the trend bar at bottom, it should be green, if it is grey in colour dont enter in trade.
4. Candle should be closing above EMA 50 and its upto you if you need additional confirmation, you can use EMA 20, 50, 200 and SMA 50 and 200, this is optional.
5. You can use VWAP as support or resistance and you can turn it on from settings.
6. Trending HMA of 33 should be in green for buy.
7. Half trend Indicator should give buy signal.
8. Trend Strength Indicator for checking the strength of the trend, if the arrow is big upside, you can go for buy.
9. Exit from buy trade when it start showing very small arrow which means trend is about to change.
10.Exit buy trade at 61.8 Fib level
Sell Condition:-
1. Bolling band should be widely open.
2. Check the support and resistance from CPR. Candle should close below resistance in red.
3. Check the trend bar at bottom, it should be red, if it is grey in colour dont enter in trade.
4. Candle should be closing below EMA 50 and its upto you if you need additional confirmation, you can use EMA 20, 50, 200 and SMA 50 and 200, this is optional.
5. You can use VWAP as support or resistance and you can turn it on from settings.
6. Trending HMA of 33 should be in red for sell.
7. Half trend Indicator should give sell signal.
8. Trend Strength Indicator for checking the strength of the trend, if the arrow is big downside, you can go for sell.
9. Exit from sell trade when down arrows start showing very small in size which means trend is about to change.
10.Exit sell trade at 61.8 Fib level
Pulu's 3 Moving Averages
Pulu's 3 Moving Averages
Release version 1, date 2021-09-28
This script allows you to customize three sets of moving averages, turn on/off, set color and parameters. It also tags the start date of the last set of moving average if there is. This, release version 1, supports eight moving average algorithms:
ALMA, Arnaud Legoux Moving Average
EMA, Exponential Moving Average
RMA, Adjusted exponential moving average (aka Wilderโs EMA)
SMA, Simple Moving Average
SWMA, Symmetrically-Weighted Moving Average
VWAP, Volume-Weighted Average Price
VWMA, Volume-Weighted Moving Average
WMA, Weighted Moving Average
The availability and function parameters
Func. Availability Parameters
ALMA
MA1, MA2, MA3
source
length
offset
sigma
EMA
RMA
SMA
VWMA
WMA
MA1, MA2, MA3
source
length
SWMA
VWAP
MA1
source
Parameters
Parameter Description
source the series of values to process. The default is to use the closing price to calculate the moving average.
length an integer value that defines the number of bars to calculate the moving average on. The SWMA and VWAP do not use this parameter.
ALMA offset a floating-point value that controls the tradeoff between smoothness (with a value closer to 1) and responsiveness (with a value closer to 0). This parameter is only used by ALMA.
ALMA sigma a floating-point value that specifies the ALMAโs smoothness. The larger this value, the smoother the moving average is. This parameter is only used by ALMA.
I'm not sure if it is needed, so I do not let the three Moving Averages of the script to have indivial algorithm setting. Because that will involve much complicated condition testing and use up more TradingView script lines limit. If you need to combine different algorithms in the three sets of moving averages, or have other ideas, leave a message to let me know; maybe I will try it in the next update.
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Exponential moving averages Convergence to identify Strength of Exponential moving averages Convergence to identify Strength of the stock.
Description:
This script is developed to find Convergences for many indicators. It analyses Convergences of 20days, 50days, 100days, 150days and 200days exponential moving averages. When all the plotted lines are converged and Price of stock is above the Convergence the stock is bullish, similarly if the price of the stock is below the convergence stock is bearish.
This indicator gives you VWAP and EMAโs for convergence along with Bollinger Bands.
VWAP and Bollinger bands and EMAโs can be altered as you required.
In settings menu we can enable and disable VWAP, EMAโS & Bollinger bands and in style menu even we can choose required EMA
It helps for convergence.
TWAP TrendHere we are experimenting with using TWAP for trend analysis. It appears to work better than VWAP on lower timeframes.
TWAP is a tool used by algorithm based traders that allows them to distribute their orders throughout the day without disturbing price or having their positions known to rival traders in the market. It's similar to VWAP and serves the same function, except it lacks the volume aspect. This can be an issue when position entry/exit may be affected by slippage.
The main benefit of TWAP is deciding how to distribute orders throughout the chosen timeframe. However, just like the VWAP traders will normally use it as a moving average or target for price action to pull into.
There is an option to change the timeframe that TWAP is calculated from.
Originally by NeoButane:
Non Parametric Adaptive Moving AverageIntroduction
Not be confused with non-parametric statistics, i define a "non-parametric" indicator as an indicator who does not have any parameter input. Such indicators can be useful since they don't need to go through parameter optimization. I present here a non parametric adaptive moving average based on exponential averaging using a modified ratio of open-close to high-low range indicator as smoothing variable.
The Indicator
The ratio of open-close to high-low range is a measurement involving calculating the ratio between the absolute close/open price difference and the range (high - low) , now the relationship between high/low and open/close price has been studied in econometrics for some time but there are no reason that the ohlc range ratio may be an indicator of volatility, however we can make the hypothesis that trending markets contain less indecision than ranging market and that indecision is measured by the high/low movements, this is an idea that i've heard various time.
Since the range is always greater than the absolute close/open difference we have a scaled smoothing variable in a range of 0/1, this allow to perform exponential averaging. The ratio of open-close to high-low range is calculated using the vwap of the close/high/low/open price in order to increase the smoothing effect. The vwap tend to smooth more with low time frames than higher ones, since the indicator use vwap for the calculation of its smoothing variable, smoothing may differ depending on the time frame you are in.
1 minute tf
1 hour tf
Conclusion
Making non parametric indicators is quite efficient, but they wont necessarily outperform classical parametric indicators. I also presented a modified version of the ratio of open-close to high-low range who can provide a smoothing variable for exponential averaging. I hope the indicator can help you in any way.
Thanks for reading !
CPR-Based Fib S/R with Circles by Arthavidhi๐ **CPR-Based Fibonacci S/R with Circles โ Description**
This indicator combines the power of **CPR (Central Pivot Range)** and **Fibonacci ratios** to plot highly probable intraday and swing Support/Resistance levels derived from the **daily price structure**.
### ๐ง **How It Works**
* It uses the **Daily High, Low, and Close** to calculate the **Pivot Point** (P) as:
`P = (High + Low + Close) / 3`
* Then it calculates the **daily range**:
`Range = High - Low`
* Using this pivot and range, it derives both **Fibonacci-based Support and Resistance levels**:
* **Support levels** at: 0.382, 0.5, 0.618, 1.0, 1.272, 1.618 below pivot
* **Resistance levels** at: 0.382, 0.5, 0.618, 1.0, 1.272, 1.618 above pivot
These are **plotted as small colored circles** on your chart, with **labels on the left** for easy identification of each Fib level (e.g., "0.382", "1.618").
---
### ๐ **How to Use It**
๐น **Intraday or Swing Traders**:
* Use these levels to **anticipate reversals**, **breakouts**, or **targets**.
* The levels act like a **natural price magnet** โ price tends to pause, bounce, or reverse near them.
๐น **Entry/Exit Zones**:
* Combine with price action (like pin bars, engulfing, or inside bars) or volume near these levels to plan entries.
* **R1.618 and S1.618** are great for extended targets or aggressive reversal setups.
๐น **CPR Center Line**:
* Acts as a key mean-reversion zone or midline. You can combine this with VWAP or RSI for confirmation.
---
### ๐งฉ **Best Practices**
* **Higher Timeframe Confluence**: Align this with HTF S/R or trendlines.
* **Use Alerts**: Combine this with price action alerting tools (manually or with separate indicators).
* **Do Not Use Alone**: For best results, combine with a strategy (e.g., Supply/Demand, VWAP bounce, Trendline breaks).
Functionally Weighted Moving AverageOVERVIEW
An anchor-able moving average that weights historical prices with mathematical curves (shaping functions) such as Smoothstep , Ease In / Out , or even a Cubic Bรฉzier . This level of configurability lends itself to more versatile price modeling, over conventional moving averages.
SESSION ANCHORS
Aside from VWAP, conventional moving averages do not allow you to use the first bar of each session as an anchor. This can make averages less useful near the open when price is sufficiently different from yesterdays close. For example, in this screenshot the EMA (blue) lags behind the sessionally anchored FWMA (yellow) at the open, making it slower to indicate a pivot higher.
An incrementing length is what makes a moving average anchor-able. VWAP is designed to do this, indefinitely growing until a new anchor resets the average (which is why it doesn't have a length parameter). But conventional MA's are designed to have a set length (they do not increment). Combining these features, the FWMA treats the length like a maximum rather than a set length, incrementing up to it from the anchor (when enabled).
Quick aside: If you code and want to anchor a conventional MA, the length() function in my UtilityLibrary will help you do this.
Incrementing an averages length introduces near-anchor volatility. For this reason, the FWMA also includes an option to saturate the anchor with the source , making values near the anchor more resistant to change. The following screenshot illustrates how saturation affects the average near the anchor when disabled (aqua) and enabled (fuchsia).
AVERAGING MATH
While there's nothing special about the math, it's worth documenting exactly how the average is affected by the anchor.
Average = Dot Product / Sum of Weights
Dot Product
This is the sum of element-wise multiplication between the Price and Weight arrays.
Dot Product = Price1 ร Weight1 + Price2 ร Weight2 + Price3 ร Weight3 ...
When the Price and Weight arrays are equally sized (aka. the length is no longer incrementing from the anchor), there's a 1-1 mapping between Price and Weight indices. Anchoring, however, purges historical data from the Price array, making it temporarily smaller. When this happens, a dot product is synthesized by linearly interpolating for proportional indices (rather than a 1-1 mapping) to maintain the intended shape of weights.
Synthetic Dot Product = FirstPrice ร FirstWeight + ... MidPrice ร MidWeight ... + LastPrice ร LastWeight
Sum of Weights
Exactly what it sounds like, the sum of weights used by the dot product operation. The sum of used weights may be less than the sum of all weights when the dot product is synthesized.
Sum of Weights = Weight1 + Weight2 + Weight3 ...
CALCULATING WEIGHTS
Shaping functions are mathematical curves used for interpolation. They are what give the Functionally Weighted Moving Average its name, and define how each historical price in the look back period is weighted.
The included shaping functions are:
Linear (conventional WMA)
Smoothstep (S curve)
Ease In Out (adjustable S curve)
Ease In (first half of Ease In Out)
Ease Out (second half of Ease In Out)
Ease Out In (eases out and then back in)
Cubic Bรฉzier (aka. any curve you want)
In the following screenshot, the only difference between the three FWMA's is the shaping function (Ease In, Ease In Out, and Ease Out) illustrating how different curves can influence the responsiveness of an average.
And here is the same example, but with anchor saturation disabled .
ADJUSTING WEIGHTS
Each function outputs a range of values between 0 and 1. While you can't expand or shrink the range, you can nudge it higher or lower using the Scalar . For example, setting the scalar to -0.2 remaps to , and +0.2 remaps to . The following screenshot illustrates how -0.2 (lightest blue) and +0.2 (darkest blue) affect the average.
Easing functions can be further adjusted with the Degree (how much the shaping function curves). There's an interactive example of this here and the following illustrates how a degrees 0, 1, and 20 (dark orange, orange, and light orange) affect the average.
This level of configurability completely changes how a moving average models price for a given length, making the FWMA extremely versatile.
INPUTS
You can configure:
Length (how many historical bars to average)
Source (the bar value to average)
Offset (horizontal offset of the plot)
Weight (the shaping function)
Scalar (how much to adjust each weight)
Degree (how much to ease in / out)
Bรฉzier Points (controls shape of Bรฉzier)
Divisor & Anchor parameters
Style of the plot
BUT ... WHY?
We use moving averages to anticipate trend initialization, continuation, and termination. For a given look back period (length) we want the average to represent the data as accurately and smoothly as possible. The better it does this, the better it is at modeling price.
In this screenshot, both the FWMA (yellow) and EMA (blue) have a length of 9. They are both smooth, but one of them more accurately models price.
You wouldn't necessarily want to trade with these FWMA parameters, but knowing it does a better job of modeling price allows you to confidently expand the model to larger timeframes for bigger moves. Here, both the FWMA (yellow) and EMA (blue) have a length of 195 (aka. 50% of NYSE market hours).
INSPIRATION
I predominantly trade ETF derivatives and hold the position that markets are chaotic, not random . The salient difference being that randomness is entirely unpredictable, and chaotic systems can be modeled. The kind of analysis I value requires a very good pricing model.
The term "model" sounds more intimidating than it is. Math terms do that sometimes. It's just a mathematical estimation . That's it. For example, a regression is an "average regressing" model (aka. mean reversion ), and LOWESS (Locally Weighted Scatterplot Smoothing) is a statistically rigorous local regression .
LOWESS is excellent for modeling data. Also, it's not practical for trading. It's computationally expensive and uses data to the right of the point it's averaging, which is impossible in realtime (everything to the right is in the future). But many techniques used within LOWESS are still valuable.
My goal was to create an efficient real time emulation of LOWESS. Specifically I wanted something that was weighted non-linearly, was efficient, left-side only, and data faithful. Incorporate trading paradigms (like anchoring) and you get a Functionally Weighted Moving Average.
The formulas for determining the weights in LOWESS are typically chosen just because they seem to work well. Meaning ... they can be anything, and there's no justification other than "looks about right". So having a variety of functions (aka. kernels) for the FWMA, and being able to slide the weight range higher or lower, allows you to also make it "look about right".
William Cleveland, prominent figure in statistics known for his contributions to LOWESS, preferred using a tri-cube weighting function. Using Weight = Ease Out In with the Degrees = 3 is comparable to this. Enjoy!
Intraday Trading IndicatorIndicator Overview
Moving Averages: Uses a fast EMA (9-period) and a slow EMA (21-period) to determine the trend direction.
Market Profile Approximation: Utilizes VWAP (Volume Weighted Average Price) as a simplified proxy for value area, acting as a dynamic support/resistance level.
SMC: Incorporates the concept of trend confirmation and price interaction with key levels, focusing on pullbacks to the fast EMA within a trending market.
Signals: Generates buy and sell signals when price crosses the fast EMA, filtered by the trend (fast EMA vs. slow EMA) and VWAP position, aiming for high-probability setups.
This design ensures responsiveness on short timeframes while filtering out noise, aligning with the goal of accurate signals for intraday trading.
Timeframe StrategyThis is a multi-timeframe trading strategy inspired by Ross Cameron's style, optimized for scalping and trend-following across various timeframes (1m, 5m, 15m, 1h, and 1D). The strategy integrates a comprehensive set of technical indicators, dynamic risk management, and visual tools.
Core Features
Dynamic Take Profit, Stop Loss & Trailing Stop
> Separate settings per timeframe for:
-TP% (Take Profit)
-SL% (Stop Loss)
-Trailing Stop %
-Cooldown bars
> Configurable via UI inputs.
>Smart Entry Conditions
Bullish entry: EMA9 crossover EMA20 and EMA50 > EMA200
Bearish entry: EMA9 crossunder EMA20 and EMA50 < EMA200
>Additional confirmation filters:
-Volume Filter (enabled/disabled via UI)
-Time Filter (e.g., only between 15:00โ20:00 UTC)
-Spike Filter: rejects high-volatility candles
-RSI Filter: above/below 50 for trend confirmation
-ADX Filter (only applied on 1m, e.g., ADX > 15)
-Micro-Volatility Filter: minimum range percentage (1m only)
-Trend Filter (1m only): price must be above/below EMA200
>Trailing Stop Logic
-Configurable for each timeframe.
- Optional via toggle (use_trailing).
>Trade Cooldown Logic
-Prevents consecutive trades within X bars, configurable per timeframe.
>Technical Indicators Used
-EMA 9 / 20 / 50 / 200
-VWAP
-RSI (14)
-ATR (14) for volatility-based spike filtering
-Custom-calculated ADX (14) (manually implemented)
>Visual Elements
๐ผ/๐ฝ Entry signals (long/short) plotted on the chart.
๐ Table in bottom-left:
Displays current values of EMA/VWAP/volume/ATR/ADX.
> Optional "Tab info" panel in top-right (toggleable):
-Timeframe & strategy settings
-Live status of filters (volume, time, cooldown, spike, RSI, ADX, range, trend)
-Uses emoji (โ
/ โ) for quick diagnostics.
>User Customization
-Inputs per timeframe for all key parameters.
-Toggle switches for:
-Trailing stop
-Volume filter
-Info table visibility
This strategy is designed for active traders seeking a balance between momentum entry, risk control, and adaptability across timeframes. It's ideal for backtesting quick reversals or breakout setups in fast markets, especially at lower timeframes like 1m or 5m.
John's Sig PROJohn's Sig PRO is a powerful Wyckoff-style trade detection tool that identifies potential long and short setups based on pivot formations, trading range analysis, and optional confluence filters.
๐น Core Features:
Pivot-Based Springs and Upthrusts (customizable "Loose" or "Strict" setups)
Dynamic Risk Management:
Static % Risk OR ATR-based stops
2 Risk/Reward Targets (Target 1 and Target 2)
Volume Confirmation (optional)
Dynamic Range Monitoring: Highest high/Lowest low over user-defined periods
๐น Optional Setup Filters (for higher probability entries):
โ
EMA Filter (Price above/below EMA)
โ
RSI Oversold/Overbought Confirmation
โ
MACD Cross Confirmation
โ
VWAP Filter (Price above/below VWAP)
โ
SuperTrend Direction Confirmation
๐น Visual Highlights:
Entry, Stoploss, Target 1, Target 2 auto-plotted with lines
Setup labels colored based on strength (Loose/Strict)
Real-time alert generation (LONG/SHORT)
๐น How to Use:
Enable Loose Springs for more aggressive setups or keep strict validation.
Customize risk settings: ATR-based dynamic stops or static pivot % risk.
Turn on optional filters to tighten your entry criteria.
Watch for plotted signals and set alerts!
โก Ideal For:
Intraday Traders
Swing Traders
Wyckoff Enthusiasts
Traders wanting automated pivot-based signals + multi-filter confluence
Created with โค๏ธ by John.
Trade smart, not hard!
PowerHouse SwiftEdge AI v2.10 with Custom Filters & AI AnalysisPowerHouse SwiftEdge AI v2.10 with Custom Filters & AI Analysis
Overview
PowerHouse SwiftEdge AI v2.10 is an advanced TradingView Pine Script indicator designed to identify high-probability trading setups by combining pivot-based structure analysis, multi-timeframe trend detection, and adaptive AI-driven signal filtering. The script integrates Change of Character (CHoCH) and Break of Structure (BOS) signals with customizable momentum, volume, breakout, and trend filters to enhance trade precision. Additionally, it offers an optional AI Market Analysis module that predicts future price trends across multiple timeframes, providing traders with a comprehensive market outlook.
The script is highly customizable, allowing users to tailor inputs to their trading style, whether for scalping, swing trading, or long-term strategies. It is suitable for all asset classes, including stocks, forex, crypto, and commodities, and performs optimally on timeframes ranging from 1-minute to daily charts.
Key Features
Pivot-Based Signal Generation:
Identifies pivot highs and lows to detect CHoCH (reversal patterns) and BOS (continuation patterns).
Signals are plotted as "Buy" or "Sell" labels with optional "Get Ready" pre-signals to prepare traders for potential setups.
Take-profit (TP) levels are automatically calculated based on user-defined points, with optional TP box visualization.
Multi-Timeframe Trend Analysis:
Analyzes trends across seven timeframes (1M, 5M, 15M, 30M, 1H, 4H, D) using EMA and VWAP to determine bullish, bearish, or neutral conditions.
Displays a futuristic AI-Trend Matrix dashboard showing trend direction, strength, and confidence levels for quick decision-making.
Customizable Signal Filters:
Momentum Filter: Ensures signals align with significant price changes, adjusted dynamically using ATR-based volatility.
Higher Timeframe Trend Filter: Requires signals to align with the trend of a user-selected higher timeframe (e.g., 1H).
Lower Timeframe Trend Filter: Prevents signals that conflict with the trend of a user-selected lower timeframe (e.g., 5M).
Volume Filter: Optionally requires above-average volume to confirm signals.
Breakout Filter: Optionally requires price to break previous highs/lows for signal validation.
Repeated Signal Restriction: Prevents consecutive signals in the same trend direction until the trend changes on a user-defined timeframe.
AI-Driven Adaptivity:
Incorporates Cumulative Volume Delta (CVD) to assess buying/selling pressure and classify market volatility (Low, Medium, High).
Uses ATR to dynamically adjust momentum thresholds, ensuring signals adapt to current market conditions.
Optional AI Market Analysis module predicts trends across multiple timeframes by combining trend, momentum, and volatility scores.
Visual Elements:
Plots CHoCH and BOS levels as horizontal lines with distinct colors (aqua for CHoCH sell, lime for CHoCH buy, fuchsia for BOS sell, teal for BOS buy).
Draws dynamic support and resistance trendlines based on short and long-term price action, colored by trend strength.
Displays TP levels and pivot highs/lows for easy reference.
How It Works
The script combines several technical analysis concepts to create a robust trading system:
Market Structure Analysis:
Pivot highs and lows are identified using a user-defined lookback period (Pivot Length).
CHoCH occurs when price crosses below a pivot high (bearish reversal) or above a pivot low (bullish reversal).
BOS occurs when price breaks a previous pivot low (bearish continuation) or pivot high (bullish continuation).
Trend and Momentum Integration:
Trends are determined by comparing price to EMA and VWAP on multiple timeframes.
Momentum is calculated as the percentage price change, with thresholds adjusted by ATR to account for volatility.
"Get Ready" signals appear when momentum approaches the threshold, preparing traders for potential CHoCH or BOS signals.
Signal Filtering:
Filters ensure signals align with user-defined criteria (e.g., trend direction, volume, breakouts).
The Restrict Repeated Signals option prevents over-signaling by requiring a trend change on a specified timeframe before generating a new signal in the same direction.
AI Market Analysis:
The optional AI module calculates a score for each timeframe based on trend direction, momentum, and volatility (ATR compared to its SMA).
Scores are translated into predictions (โฒ for bullish, โผ for bearish, โ for neutral), displayed in a dedicated table.
CVD and Volatility Context:
CVD tracks buying vs. selling pressure by accumulating volume based on price direction.
Volatility is classified using CVD magnitude, influencing the scriptโs visual cues and signal sensitivity.
Why This Combination?
The integration of pivot-based structure analysis, multi-timeframe trend filtering, and AI-driven adaptivity addresses common trading challenges:
Precision: CHoCH and BOS signals focus on key market turning points, reducing noise from minor price fluctuations.
Context: Multi-timeframe analysis ensures trades align with broader market trends, improving win rates.
Adaptivity: ATR and CVD adjustments make the script responsive to changing market conditions, avoiding static thresholds that fail in volatile or quiet markets.
Customization: Extensive input options allow traders to adapt the script to their preferred markets, timeframes, and risk profiles.
Predictive Insight: The AI Market Analysis module provides forward-looking trend predictions, helping traders anticipate market moves.
This combination creates a self-contained system that balances responsiveness with reliability, making it suitable for both novice and experienced traders.
How to Use
Add to Chart:
Apply the indicator to your TradingView chart for any asset and timeframe.
Recommended timeframes: 5M to 1H for scalping/day trading, 4H to D for swing trading.
Configure Inputs:
Pivot Length: Adjust (default 5) to control sensitivity to pivot highs/lows. Lower values for faster signals, higher for stronger confirmations.
Momentum Threshold: Set the minimum price change (default 0.01%) for signals. Increase for stricter conditions.
Take Profit Points: Define TP distance (default 10 points). Adjust based on asset volatility.
Signal Filters: Enable/disable filters (momentum, trend, volume, breakout) to match your strategy.
Higher/Lower Timeframe: Select timeframes for trend alignment (e.g., 1H for higher, 5M for lower).
AI Market Analysis: Enable for predictive trend insights across timeframes.
Get Ready Signals: Enable to see pre-signals for potential setups.
Interpret Signals:
Buy/Sell Labels: Act on green "Buy" or red "Sell" labels, confirming with TP levels and trend direction.
Get Ready Labels: Yellow "Get Ready BUY" or orange "Get Ready SELL" indicate potential setups; prepare but wait for confirmation.
CHoCH/BOS Lines: Use aqua/lime (CHoCH) and fuchsia/teal (BOS) lines as key support/resistance levels.
AI-Trend Matrix: Check the top-right dashboard for trend strength (%), confidence (%), and timeframe-specific trends.
AI Market Analysis Table: If enabled, view predictions (โฒ/โผ/โ) for each timeframe to anticipate market direction.
Trading Tips:
Combine signals with other indicators (e.g., RSI, MACD) for additional confirmation.
Use higher timeframe trend alignment for higher-probability trades.
Adjust TP and signal distance based on asset volatility and trading style.
Monitor the AI-Trend Matrix for trend strength; values above 50% or below -50% indicate strong directional bias.
Originality
PowerHouse SwiftEdge AI v2.10 stands out due to its unique blend of:
Adaptive Signal Generation: ATR-based momentum thresholds and CVD-driven volatility context ensure signals remain relevant across market conditions.
Multi-Timeframe Synergy: The scriptโs ability to filter signals based on both higher and lower timeframe trends provides a rare balance of precision and context.
AI-Powered Insights: The AI Market Analysis module offers predictive capabilities not commonly found in traditional indicators, simulating institutional-grade analysis.
Visual Clarity: The futuristic dashboard and color-coded trendlines make complex data accessible, enhancing usability for all trader levels.
Unlike standalone pivot or trend indicators, this script integrates multiple layers of analysis into a cohesive system, reducing false signals and providing actionable insights without requiring external tools or research.
Limitations
False Signals: No indicator is foolproof; signals may fail in choppy or low-volume markets. Use filters to mitigate.
Timeframe Sensitivity: Performance varies by timeframe and asset. Test settings thoroughly.
AI Predictions: The AI Market Analysis is based on historical data and simplified scoring; itโs not a guaranteed forecast.
Resource Usage: Enabling all filters and AI analysis may slow performance on lower-end devices.
Rogue ORB PRORogue ORB Pro is a precision-engineered Opening Range Breakout (ORB) indicator built for active intraday traders who need real signals, not noise.
This tool identifies high-probability breakout entries from the opening range, enhanced with optional ATR-based stop loss levels, deviation targets, cooldown filters, and a relative volume gate to filter weak setups.
๐ Key Features:
Opening Range High/Low: Drawn from a user-defined time window and locked for the day
Deviations: Automatically plots target zones above and below the OR range (e.g. 1, 2 deviations)
Pre-Market Levels: Automatically draws pre market high and low lines at the end of pre market session
Buy/Sell Signals: Triggered on breakout of the OR High/Low with configurable breakout logic (touch or close)
ATR Stop Loss Line: Dynamically drawn at a fixed ATR distance from breakout candle, with optional SL label
Cooldown Period: Prevents back-to-back signals by enforcing a user-defined bar delay between entries, can help with overtrading
Volume Filter: Optional relative volume filter that requires breakout candles to exceed a custom volume threshold
VWAP Overlay: Visual VWAP for directional bias and confluence
Triple Confirmation Scalper v2 - Alarm CompatibleTriple Confirmation Scalper Strategy
A high-probability scalping strategy combining trend momentum, overbought/sold conditions, and volume confirmation to filter low-noise signals.
๐ Strategy Logic
Trend Direction
Dual EMA crossover (9 & 21 periods) for momentum and trend bias.
Overbought/Oversold Zones
RSI (14-period) to avoid entries at extremes.
Volume Spike Filter
OBV + 20-period volume average to confirm breakout validity.
Dynamic Risk Management
Stop-loss: Adaptive to recent price action (5-candle low/high ยฑ1%).
Take-profit: 1.5% target (1.5:1 risk/reward).
๐ Advanced Features
Precision VWAP (20-period, HLC3-based) for dynamic S/R levels.
Visual Aids:
EMA/VWAP bands + trend-colored background.
Volume spike alerts.
TradingView Alerts pre-configured for long/short signals.
โ๏ธ Default Settings
Commission: 0.1% factored into backtests.
Mode: Supports both long/short positions.
โ ๏ธ Disclaimer
This is a technical analysis tool, not financial advice.
Past performance โ future results. Test thoroughly in a demo account.
Adjust parameters (e.g., EMA periods, RSI thresholds) to match your risk tolerance.
โ
TradingView Compliance Notes:
No exaggerated claims (e.g., "100% win rate").
Clear disclaimer included.
Focus on objective strategy logic (no promotional language).
VSA Tick Volume Zones0
ู
ุคุดุฑ VSA Tick Volume ู
ุน ู
ูุงุทู ุงูุนุฑุถ ูุงูุทูุจ (ุฅุตุฏุงุฑ ุชุฌุฑูุจู)
ู
ุคุดุฑ ู
ุฎุตุต ูู
ูุตุฉ TradingView ูุนุชู
ุฏ ุนูู ุชุญููู ุงูุญุฌู
ูุงูุณุนุฑ (VSA - Volume Spread Analysis)ุ ููููู
ุชููุงุฆููุง ุจุชุญุฏูุฏ ู
ูุงุทู ุงูุทูุจ ูุงูุนุฑุถ ุงุณุชูุงุฏูุง ุฅูู ุฅุดุงุฑุงุช VSA ุงููููุฉ. ููุฏู ุงูู
ุคุดุฑ ุฅูู ูุดู ุชุญุฑูุงุช ุงูู
ุชุฏุงูููู ุงูู
ุญุชุฑููู ูุชุญุฏูุฏ ููุงุท ุงูุงูุนูุงุณ ุงูุฐููุฉ.
---
โ
ุงูู
ูุฒุงุช ุงูุฃุณุงุณูุฉ:
1. ุฅุดุงุฑุงุช VSA:
ุงูู
ุคุดุฑ ูุชุนุฑู ุชููุงุฆููุง ุนูู ุฃุจุฑุฒ ุฅุดุงุฑุงุช ุชุญููู VSA:
- *Climactic Volume (CV):* ุญุฌู
ุชุฏุงูู ู
ุฑุชูุน ุจุดูู ุงุณุชุซูุงุฆู ูุดูุฑ ูููุงูุฉ ุงูุงุชุฌุงู ุงูุญุงูู.
- *No Demand (ND):* ุดู
ูุน ุตุนูุฏูุฉ ุถุนููุฉ ุงูุญุฌู
ุ ุชุดูุฑ ุฅูู ุบูุงุจ ุงูุชู
ุงู
ุงูู
ุดุชุฑูู.
- *No Supply (NS):* ุดู
ูุน ูุจูุทูุฉ ุถุนููุฉ ุงูุญุฌู
ุ ุชุดูุฑ ุฅูู ุบูุงุจ ุงูุชู
ุงู
ุงูุจุงุฆุนูู.
- *Stopping Volume (SV):* ุงุฑุชูุงุน ู
ูุงุฌุฆ ูู ุงูุญุฌู
ุจุนุฏ ุงุชุฌุงู ูุงุจุทุ ูุดูุฑ ูุชุฏุฎู ุงูู
ุดุชุฑูู.
- *UpThrust (UT):* ุงุฎุชุฑุงู ูุงุฐุจ ููุณุนุฑ ูุญู ุงูุฃุนูู ู
ุน ุญุฌู
ูุจูุฑ ูุฅุบูุงู ู
ูุฎูุถ.
- *Test (T):* ุดู
ูุน ุงุฎุชุจุงุฑูุฉ ุจุญุฌู
ู
ูุฎูุถ ููุชุญูู ู
ู ุบูุงุจ ุงูุจุงุฆุนูู ุงุณุชุนุฏุงุฏูุง ููุตุนูุฏ.
2. ุชูููู ุงูุดู
ูุน:
- ูู ุฅุดุงุฑุฉ ุชูููููู ุชููุงุฆููุง ุนูู ุงูุดุงุฑุช ูุชุณููู ุงูู
ุชุงุจุนุฉ ุงูุจุตุฑูุฉ:
- CV ุจุงูููู ุงูุฃุญู
ุฑ
- ND ุจุงูููู ุงูุจุฑุชูุงูู
- NS ุจุงูููู ุงูุฃุฎุถุฑ
- SV ุจุงูููู ุงูุฃุฒุฑู
- UT ุจุงูููู ุงูุฃุฑุฌูุงูู
- Test ุจุงูููู ุงูุณู
ุงูู
3. ุฑุณู
ู
ูุงุทู ุงูุนุฑุถ ูุงูุทูุจ ุชููุงุฆููุง:
- ูุชู
ุชุญุฏูุฏ ุงูู
ูุงุทู ุจูุงุกู ุนูู ุฅุดุงุฑุงุช *UT* ู*SV* ู*Test*ุ ุญูุซ ุชุนุชุจุฑ ู
ูุงุทู ุชู
ุฑูุฒ ุฐูู ููู
ุคุณุณุงุช (Smart Money Zones).
๐ฏ ุงููุฏู ู
ู ุงูู
ุคุดุฑ:
ูุณุงุนุฏ ูุฐุง ุงูู
ุคุดุฑ:
- ุงูู
ุชุฏุงูู ุงูููู
ู ุนูู ุงุชุฎุงุฐ ูุฑุงุฑุงุช ู
ุฏุฑูุณุฉ.
- ุงูู
ุญูู ุงูููู ุนูู ููู
ุงูุณูุงู ุงูู
ุคุณุณุงุชู ููุณูู.
- ุฏุนู
ุงุณุชุฑุงุชูุฌูุงุช ุงูุฏุฎูู ูุงูุฎุฑูุฌ ุจุฏูุฉ ุฃุนูู ู
ู ุฎูุงู ุงูุฏู
ุฌ ุจูู ุฅุดุงุฑุงุช VSA ูุงูู
ูุงุทู ุงููุนููุฉ ููุนุฑุถ ูุงูุทูุจ.
---
๐งช ู
ูุงุญุธุงุช:
- ุงูู
ุคุดุฑ ูุง ูุนุชุจุฑ ุชูุตูุฉ ุดุฑุงุก ุฃู ุจูุน.
- ุงูุฅุดุงุฑุงุช ุชุญุชุงุฌ ุฅูู ุชุฃููุฏ ู
ู ุฎูุงู ุญุฑูุฉ ุงูุณุนุฑ ุฃู ู
ุคุดุฑุงุช ู
ุณุงุนุฏุฉ.
- ูู
ูู ุงุณุชุฎุฏุงู
ู ู
ุน ุฃุฏูุงุช ุฅุถุงููุฉ ู
ุซู RSI ุฃู Moving Averages.
---
โ ุงูุงูุชุฑุงุญุงุช ุงูู
ุณุชูุจููุฉ:
- ุฏู
ุฌ ุฃุฏูุงุช ุชุฏูู ุงูุณูููุฉ (ู
ุซู OBV ุฃู VWAP).
- ุชูุจูู ุตูุชู ูุฅุดุนุงุฑ ุนูุฏ ุธููุฑ ุฅุดุงุฑุงุช ู
ุญุฏุฏุฉ.
- ุชุฎุตูุต ุฃูุจุฑ ููู
ุณุชุฎุฏู
ู
ู ุญูุซ ุงูุฃููุงู ูููุน ุงูุฅุดุงุฑุงุช.
---
ููุชูุงุตู ุฃู ุงูู
ุณุงูู
ุฉ ูู ุชุทููุฑ ุงูู
ุคุดุฑุ ูุฑุฌู ู
ุฑุงุณูุชู.
VSA Tick Volume Indicator with Supply and Demand Zones (Beta Version)
A custom indicator for the TradingView platform based on Volume and Price Analysis (VSA - Volume Spread Analysis), it automatically identifies supply and demand zones based on strong VSA signals. The indicator aims to uncover the movements of professional traders and identify smart reversal points.
โ
Key Features:
VSA Signals: The indicator automatically detects key VSA analysis signals:
Climactic Volume (CV): Exceptionally high trading volume indicating the end of the current trend.
No Demand (ND): Bullish candles with weak volume, indicating a lack of buyer interest.
No Supply (NS): Bearish candles with weak volume, indicating a lack of seller interest.
Stopping Volume (SV): A sudden volume spike after a downtrend, indicating buyer intervention.
UpThrust (UT): A false price breakout upwards with high volume and a low close.
Test (T): Low-volume test candles to check for the absence of sellers, signaling readiness for an upward move.
Candle Coloring:
Each signal is automatically color-coded on the chart for easy visual tracking:
CV in red
ND in orange
NS in green
SV in blue
UT in purple
Test in cyan
Automatic Supply and Demand Zone Drawing:
Zones are determined based on the UT, SV, and Test signals, which are considered smart money zones.
๐ฏ Purpose of the Indicator:
This indicator helps:
The day trader make informed decisions.
The technical analyst understand the market's institutional context.
Enhance entry and exit strategies with more accuracy by combining VSA signals and actual supply and demand zones.
๐งช Notes:
The indicator is not a buy or sell recommendation.
Signals need confirmation through price action or additional indicators.
Can be used alongside other tools such as RSI or Moving Averages.
โ Future Suggestions:
Integration of liquidity flow tools (such as OBV or VWAP).
Sound alerts and notifications when specific signals appear.
Greater customization options for users regarding colors and signal types.
For inquiries or contributions to the indicator's development, please contact me.
J Weighted Average Price๐ How to Use the OBV VWAP Reentry Signal Effectively
This indicator plots a VWAP based on OBV (On-Balance Volume), along with dynamic bands to identify overbought and oversold conditions in volume flow.
๐บ Red Triangle Up: Appears when OBV crosses back below the upper band โ Potential reversal from overbought โ Watch for short opportunities.
๐ป Blue Triangle Down: Appears when OBV crosses back above the lower band โ Potential reversal from oversold โ Watch for long opportunities.
๐ Tip: Use these signals in confluence with price action or trend confirmation to filter false signals. For example:
Enter short after a reentry from upper band and a lower high in price.
Enter long after a reentry from lower band and a bullish candle structure.
This setup helps you catch mean reversion moves based on volume flow, not just price.
Liquidity Volume Panel Liquidity Volume Panel โ Precision Tool for Scalpers & Intraday Traders
This panel is designed to help traders quickly identify volume-driven moves, liquidity events, and fair-value zones. It combines classic volume analysis with enhanced tools like RVOL and VWAP deviation bands, making it ideal for scalping, momentum trading, and intraday strategies.
๐ Included Features:
โ
Relative Volume (RVOL) Indicator
Displays current volume in relation to its 20-period average โ excellent for spotting low-activity zones or high-pressure breakouts.
โ
Dynamic Volume Coloring & Spike Detection
Color-coded volume logic highlights normal, strong, and extremely high volume, with visual markers for volume spikes (>200% of average).
โ
VWAP with ยฑ1ฯ & ยฑ2ฯ Bands
Industry-standard deviation bands show overbought/oversold conditions and dynamic support/resistance based on volume-weighted pricing.
โ
Background Highlighting
Subtle orange background alerts you when volume surges beyond extreme levels โ making liquidity clusters instantly recognizable.
Usage:
Use this panel as a decision-making tool for entries, reversals, or breakouts โ especially in fast-moving markets.
Best used on lower timeframes for precision scalping.
SemaforThis is the 4 Level Semafor indicator with Daily Open Line and Average Session Range. Also on the chart is the EMA Ribbon indicator.
Credit to:
Devlucem for the Semafor indicator
Quantvue for the Average Session Range
Shusterivi for the Daily Open Line
MYNAMEISBRANDON for the EMA Ribbon
The Semafors are based on the ZigZag indicator and show higher highs/lower lows of a specified period, determined by the user and applied in settings.
The default periods I use are:
10 period (hidden on this chart)
50 period-blue dots
250 period-white dots
615 period-black dots
Just as the ZigZag indicator will recalculate so to will the semafors, as additional candles are built. The semafor indicator is never to be used as a stand alone signal. It must be combined with other indicators to be used effectively. What we look for are the semafor patterns of a large white dot followed by a 1st blue dot opposite of the white. Then a 2nd blue dot in agreement with the white dot. In theory, the 2nd blue dot is seen as confirmation of the establishment of the white semafor..
When combined with Daily Open Line, ADR (Average Sessions Range), EMA cross and VWAP anchored to your 250 semafors, your odds are greatly increased. Add to that the knowledge of basic market structure and the wisdom that comes from patience and you have a very powerful weapon.
The Daily Open...I trade the M1 chart and also draw a H4 Open Line on my chart for the smaller time frames. Price will tend to trade away from the Daily Open Line. In many cases until it reaches certain levels...Fib, Gann, ADR, etc., then runs through a pullback cycle. I like the ADR levels. The ADR can give clues when entering a consolidation phase, ie trading between the buy side and sell side 15% levels. Trading away from the Daily Open(or H4 open) along with breaking the 15% level, while in agreement with a semafor pattern is a good sign.
Add to that confluence the agreement of your MA cross and the 250 semafor Anchored VWAP and you have a solid signal to help determine your actions. This trend following layout will work on any time frame. I just really like the M1 for its precision, not for crazy back and forth all day. With the exception of some strong pull back signals, I don't enter any more trades on the M1 than on M5, 15 or 30.
This is based on and follows the teachings of Xard and his trading strategy. Just as I don't want to take anyone's credit for these indicators, I won't take credit for what I have been taught either.
The trader can obviously use their favorite MA cross indicator. But this one is visually beautiful AND displays the current time frame and 1 time frame higher on the chart...awesome!
Of note, I do run into trouble at times with the 615 period semafor. I have been told it is because TradingView has trouble with extended period indicators. As a matter of fact, I would like a much higher period for my biggest semafor. I would like it set at 1250, but that seems to be a no starter. If anyone has a solution, that would be welcomed news.
Impulse MACD enhancedThis indicator is designed to provide robust trade entry signals by combining multiple technical filters. Hereโs a summary of its key components:
Impulse MACD Calculation:
Uses a Zero-Lag EMA (ZLEMA) based approach to generate a momentum indicator (with a signal line and histogram) that identifies shifts in market momentum.
Simulated Higher Timeframe (HTF) Trend Filter:
Computes an SMA over a multiplied period to simulate a higher timeframe trend. It requires the price to be in line with this broader trend before signaling an entry.
RSI Filter:
Ensures that for bullish entries the RSI is above a set threshold (indicating momentum) and for bearish entries itโs below a threshold.
ADX Filter:
Uses a manually calculated ADX to confirm that the market is in a strong trend (ADX > 30) to reduce false signals in weakly trending or sideways markets.
Volume Filter:
Compares the current volume to a 20โbar SMA of volume, requiring volume to be significantly higher (by a user-defined percentage) to confirm the strength of the move.
VWAP Confirmation:
Uses the Volume-Weighted Average Price as an extra layer of confirmation: bullish signals require the price to be above VWAP, bearish signals below.
Optional Long-Term & Short-Term MA Filters:
These filters can be enabled to ensure the price is trading above (or below) longer-term and shorter-term moving averages, further aligning the trade with the prevailing trend.
ATR Volatility Filter:
Checks that volatility (as measured by the ATR relative to price) is below a maximum threshold, which helps avoid taking trades in overly volatile conditions.
Price Action Filter:
Ensures that for a bullish signal the current close is above the highest high over a specified lookback period (and vice versa for bearish), indicating a clear breakout.
Signal Throttling:
Signals are limited to one every 10 bars to prevent excessive trading.
When all these conditions are met, the indicator outputs an entry signal for either a bullish or bearish trade.
This multi-filter approach aims to increase win rate by reducing false signals and aligning trades with strong, confirmed trends while filtering out noise.
Delta VolDelta Volume BTC - Multi Pair
Description The Delta Volume BTC - Multi Pair indicator visualizes the balance between buying and selling volume across multiple Bitcoin exchanges. By analyzing price action within each bar, it provides insight into underlying market pressure that traditional volume indicators miss. This indicator allows traders to:
Compare volume flow across Coinbase, Binance, and Binance Perpetual markets
Identify divergences between exchanges that may signal market shifts
Detect accumulation or distribution patterns through volume imbalances
View exchanges individually or in aggregate for comprehensive analysis
Calculation Methods The indicator offers three volume delta calculation methods:
VWAP Based (default):
price_range = high - low
buy_percent = (close - low) / price_range
sell_percent = (high - close) / price_range
delta = volume * (buy_percent - sell_percent)
This method distributes volume based on where price closed within the bar's range, providing a nuanced view of buying/selling pressure.
Tick Based :
delta = volume * sign(hlc3 - previous_hlc3)
This approach assigns volume based on the direction of typical price movement between bars, capturing momentum between periods.
Simple :
delta = close > open ? volume : close < open ? -volume : 0
A straightforward method that assigns positive volume to up bars and negative volume to down bars.
When Aggregate Mode is enabled, the indicator sums the volume deltas from all selected exchanges:
aggregate_delta = coinbase_delta + binance_delta + binance_perp_delta
Features
Multi-Exchange Support : Track volume delta across Coinbase, Binance, and Binance Perpetual futures
Advanced Calculation Methods : Choose between VWAP-based, tick-based, or simple volume delta algorithms
Flexible Display Options : Visualize as histogram, columns, area, or line charts
Customizable Colors : Distinct color schemes for each exchange and direction
Smoothing Options : Apply EMA, SMA, or WMA to reduce noise
Aggregate Mode : Combine all exchanges to see total market flow
How to Use
Individual Exchange Analysis : Uncheck "Aggregate Mode" to see each exchange separately, revealing where smart money may be positioning
Divergence Detection : Watch for one exchange showing buying while others show selling
Volume Trend Confirmation : Strong price moves should be accompanied by strong delta in the same direction
Liquidity Analysis : Compare spot vs futures volume delta to identify market sentiment shifts
The Delta Volume BTC - Multi Pair indicator helps identify the "hidden" buying and selling pressure that may not be apparent from price action alone, giving you an edge in understanding market dynamics across the Bitcoin ecosystem.
Johnny's Machine Learning Moving Average (MLMA) w/ Trend Alerts๐ Overview
Johnny's Machine Learning Moving Average (MLMA) w/ Trend Alerts is a powerful adaptive moving average indicator designed to capture market trends dynamically. Unlike traditional moving averages (e.g., SMA, EMA, WMA), this indicator incorporates volatility-based trend detection, Bollinger Bands, ADX, and RSI, offering a comprehensive view of market conditions.
The MLMA is "machine learning-inspired" because it adapts dynamically to market conditions using ATR-based windowing and integrates multiple trend strength indicators (ADX, RSI, and volatility bands) to provide an intelligent moving average calculation that learns from recent price action rather than being static.
๐ How It Works
1๏ธโฃ Adaptive Moving Average Selection
The MLMA automatically selects one of four different moving averages:
๐ EMA (Exponential Moving Average) โ Reacts quickly to price changes.
๐ต HMA (Hull Moving Average) โ Smooth and fast, reducing lag.
๐ก WMA (Weighted Moving Average) โ Gives recent prices more importance.
๐ด VWAP (Volume Weighted Average Price) โ Accounts for volume impact.
The user can select which moving average type to use, making the indicator customizable based on their strategy.
2๏ธโฃ Dynamic Trend Detection
ATR-Based Adaptive Window ๐
The Average True Range (ATR) determines the window size dynamically.
When volatility is high, the moving average window expands, making the MLMA more stable.
When volatility is low, the window shrinks, making the MLMA more responsive.
Trend Strength Filters ๐
ADX (Average Directional Index) > 25 โ Indicates a strong trend.
RSI (Relative Strength Index) > 70 or < 30 โ Identifies overbought/oversold conditions.
Price Position Relative to Upper/Lower Bands โ Determines bullish vs. bearish momentum.
3๏ธโฃ Volatility Bands & Dynamic Support/Resistance
Bollinger Bands (BB) ๐
Uses standard deviation-based bands around the MLMA to detect overbought and oversold zones.
Upper Band = Resistance, Lower Band = Support.
Helps traders identify breakout potential.
Adaptive Trend Bands ๐ต๐ด
The MLMA has built-in trend envelopes.
When price breaks the upper band, bullish momentum is confirmed.
When price breaks the lower band, bearish momentum is confirmed.
4๏ธโฃ Visual Enhancements
Dynamic Gradient Fills ๐
The trend strength (ADX-based) determines the gradient intensity.
Stronger trends = More vivid colors.
Weaker trends = Lighter colors.
Trend Reversal Arrows ๐
๐ผ Green Up Arrow: Bullish reversal signal.
๐ฝ Red Down Arrow: Bearish reversal signal.
Trend Table Overlay ๐ฅ
Displays ADX, RSI, and Trend State dynamically on the chart.
๐ข Trading Signals & How to Use It
1๏ธโฃ Bullish Signals ๐
โ
Conditions for a Long (Buy) Trade:
The MLMA crosses above the lower band.
The ADX is above 25 (confirming trend strength).
RSI is above 55, indicating positive momentum.
Green trend reversal arrow appears (confirmation of a bullish reversal).
๐น How to Trade It:
Enter a long trade when the MLMA turns bullish.
Set stop-loss below the lower Bollinger Band.
Target previous resistance levels or use the upper band as take-profit.
2๏ธโฃ Bearish Signals ๐
โ
Conditions for a Short (Sell) Trade:
The MLMA crosses below the upper band.
The ADX is above 25 (confirming trend strength).
RSI is below 45, indicating bearish pressure.
Red trend reversal arrow appears (confirmation of a bearish reversal).
๐น How to Trade It:
Enter a short trade when the MLMA turns bearish.
Set stop-loss above the upper Bollinger Band.
Target the lower band as take-profit.
๐ก What Makes This a Machine Learning Moving Average?
๐ 1๏ธโฃ Adaptive & Self-Tuning
Unlike static moving averages that rely on fixed parameters, this MLMA automatically adjusts its sensitivity to market conditions using:
ATR-based dynamic windowing ๐ (Expands/contracts based on volatility).
Adaptive smoothing using EMA, HMA, WMA, or VWAP ๐.
Multi-indicator confirmation (ADX, RSI, Volatility Bands) ๐.
๐ 2๏ธโฃ Intelligent Trend Confirmation
The MLMA "learns" from recent price movements instead of blindly following a fixed-length average.
It incorporates ADX & RSI trend filtering to reduce noise & false signals.
๐ 3๏ธโฃ Dynamic Color-Coding for Trend Strength
Strong trends trigger more vivid colors, mimicking confidence levels in machine learning models.
Weaker trends appear faded, suggesting uncertainty.
๐ฏ Why Use the MLMA?
โ
Pros
โ Combines multiple trend indicators (MA, ADX, RSI, BB).
โ Automatically adjusts to market conditions.
โ Filters out weak trends, making it more reliable.
โ Visually intuitive (gradient colors & reversal arrows).
โ Works across all timeframes and assets.
โ ๏ธ Cons
โ Not a standalone strategy โ Best used with volume confirmation or candlestick analysis.
โ Can lag slightly in fast-moving markets (due to smoothing).