SynergySynergy
This indicator was developed for use in an investigation/tutorial using Pine Script to analyse Gold and US Dollar Index correlation.
The first indicator shall measure the percentage change between the open and close of each bar and compare it to the same percentage change of an alternative asset. Additionally, we shall color the background when the two assets move in the same direction. This should allow us to more easily see when the two assets move together and spot trends in their moment.
The yellow bars show use the percentage change in the price of gold. The blue bars show the percentage change in the price of the US Dollar index. If the bar is above zero, it means that the asset closed up. Conversely, if it is below zero, it means the asset closed down. Finally, the grey bars show bars in which the two assets closed in the same direction.
It can be used in conjunction with a second indicator (to be published soon) that provides statistics generated from this indicator.
The full free post can be found here: backtest-rookies.com
Поиск скриптов по запросу "12月4号是什么星座"
[astropark] MACD & RSI+//******************************************************************************
// Copyright by astropark v2.0
// MACD RSI+
// 24/10/2018 Added RSI with Center line to have clear glue of current trend
// 10/12/2018 Added MACD
// 13/12/2018 Added multiplier for MACD in order to make it clearly visible over RSI graph
//******************************************************************************
[astropark] Power Tools Overlay//******************************************************************************
// Power Tools Overlay
// Inner Version 1.2 20/12/2018
// Developer: iDelphi
// Developer: astropark (Ichimoku Cloud), SMA EMA & Cross tools
//------------------------------------------------------------------------------
// 21/11/2018 Added EMA SMA WMA
// 21/11/2018 Added SMA-EMA EMA-WMA WMA-SMA (Thanks to mariobros1 for the idea of the Simultaneous MA)
// 21/11/2018 Added Bollinger Bands
// 21/11/2018 Added Ichimoku Cloud (Thanks to astropark for all the code of the Ichimoku Cloud)
// 23/11/2018 Show all the indicator as default
// 23/11/2018 Added a cross when single Moving Averages crossing (Thanks to astropark for the idea)
// 24/11/2018 Descriptions Fix
// 24/11/2018 Added Option to enable/disable all Moving Averages
// 10/12/2018 Added EMAs and Crosses
//******************************************************************************
EMA fasterDraw EMA(12) and put a signal when EMA(12) cross with EMA(50).
EMA(50) is not rendered on the canvas.
[Delphi] RSI - Dynamic Movement Sys - Volume Oscil - Pista CicCopyright by Delphi v1.0 05/07/2018 - 12/07/2018
RSI - Dynamic Movement System - Volume Oscillator - Pista Ciclica
Follow me for updates and strategies
05/07/2018 Added Pista Ciclica
05/07/2018 Added RSI
09/07/2018 Added ADX - Dynamic Movement System
12/07/2018 Added Volume Oscillator
Automatic Support, Resistance, Fibonacci LevelsThis indicator plots absolute high and low values for up to five completely adjustable time periods (in months, weeks, days, hours, minutes) and optionally calculates the Fibonacci levels on the pair of absolutes of your choice, ascending or descending, and mimics the shading available in the built-in Fib charting tools (e.g. retracement).
Here are a few screenshots of the same chart with various options selected.
3-Month, 4-Week, and 5-Day absolutes with 3-Monthly Fib plotted:
The same chart with 4-Weekly Fib:
The same chart with 5-Daily Fib:
5-Day, 12-Hour, 90-Minute absolutes with 12-Hourly Fib:
Zoomed in, on a 30-minute interval, with 90-minute Fib:
With descending ("inverted") 90-minute Fib:
I started putting this together for Vazzyb, who was looking for a way to automate plotting horizontal support and resistance levels for monthly, weekly, and daily extremes, and then I added additional features as they occurred to me. Special thanks to Paaax, who suggested I add Fib levels.
I am leaving the code open, so you may feel free to grab snippets you like and use them for your own purposes. Of particular interest may be my custom "calc_fib()" function, which accepts any series pair, as well as a Boolean indicating whether to invert, and returns an array with each of the major Fibonacci levels: .
If anyone likes this enough to feel generous, please feel free:
BTC
3KmFchJ18QvMzAJKDcFQXvyK9p1EHWQdhP
BCH
qqtrw64ptuwprk5vtj3z8qwkvh3v0jawxq7khqng7x
ETH
0x9b51361A278910Ba3945C7519C9f0FA8a77df18d
LTC
MDeWWsP7XCG2zQuZ2dYALZXQ52u2qkc8fh
P.S. If you want the time lengths to be as close to accurate as possible, don't forget to change the number of days per week when using for cryptocurrency!
Philakone 55 EMA Swing Trading StrategyThis strategy was inspired by Philkone Crypto's "Lesson 12: Let's Learn Advanced 55 EMA Strategy" video.
steemit.com
Supports Buy and Sell Condition alerts and displays arrows on the chart.
Ichimoku Kinko Hyo + HULL-MA_X + MacDThe Ichimoku Kinko Hyo system includes five kinds of signal, of which this strategy uses the most recent of ones i.e. Tenkan Sen / Kijun Sen Cross and price crosses the Kijun Sen. As the Chikou Span, Senkou Span A and Senkou Span B are shifted into the past/future, the trigger signals will be only be used for visual confirmation and not part of the strategy.
The Tenkan Sen, also known as the Turning or Conversion line, is a moving average of the highest high and lowest low over the last 9 periods in this strategy.
The Kijun Sen, also known as the Standard or Base line, is a moving average of the highest high and lowest low over the last 24 periods in this strategy.
The Chikou Span, also known as the Lagging line, is the closing price plotted 24 periods behind in this strategy.
The Senkou Span A, also known as the 1st leading line, is a moving average of the Tenkan Sen and Kijun Sen and is plotted 24 periods ahead in this strategy.
The Senkou Span B, also known as the 2nd leading line, is a moving average of the highest high and lowest low over the last 51 trading days is plotted 24 periods ahead in this strategy.
Moving average convergence divergence (MaCD) is a trend-following momentum indicator that shows the relationship between two moving averages of prices. The MaCD is calculated in this strategy by subtracting the 24-day exponential moving average (EMA) from the 12-day EMA. A nine-day EMA of the MACD, called the "signal line", aMaCD in this case, is then plotted on top of the MaCD. In this strategy, MaCD/ aMaCD Cross is functioning as a trigger for buy and sell signals.
As with most technical analysis methods, Ichimoku is likely to produce frequent conflicting signals in non-trending markets, So in addition to Ichimoku Kinko Hyo, the Hull MA is popular amongst some day traders, as the indicator which in combination with MaCD attempts to give an accurate signal by eliminating lags and improving the smoothness of the line.
Alan Hull, developed this moving average indicator and hence it’s called the Hull MA.
Now, let’s dissect how the Hull moving average is calculated.
The Hull MA involves the weighted moving average (WMA) in its calculation.
First, calculate the WMA with period (n / 2) and multiply this by 2. Remember ‘n’ is the time period configurable based on the trader’s requirement. The default setting is 12 periods in this strategy, fast Hull MA crossing slow Hull MA will generate a circle on charts.
Second, calculate the WMA for period “n” and subtract if from the first step. Thirdly, calculate the weighted moving average with period sqrt (n) using the data from the second step. You can take a look at the below formula:
Hull MA= WMA (2*WMA (n/2) − WMA (n)), sqrt (n))
The Hull MA Cross in combination with Tenkan Sen / Kijun Sen Cross and MaCD tries to give an accurate signal by eliminating lags and improve the smoothness of price activity. Please note that price trends can and do change often, so your readings of the charts and this trading system should be probabilistic, rather than predictive.
Pullback Trading Tool R5-65 by JustUncleLBy request this is an updated version of the "PullBack Trading Tool": removes experimental "OCC" channel, added option to display ribbons or just single moving average lines, added alert arrows for "PB" exits, added alertcondition for TV alarm subsystem, added some extract options for Pivot points and general cleanup of code.
Description:
This project incorporates the majority of the indicators needed to analyse and trade Trends for Pullbacks, swings and reversals.
Incorporated within this tool are the following indicators:
1. Major industry (Banks) recognised important EMAs in an EMA Ribbon:
Lime = EMA5 (Optional Display)
DodgerBlue = EMA12 (Optional Display)
Red = EMA36 (Optional display)
Green = EMA89
Blue = EMA200
Black = EMA633
2. The 5 EMA (default) High/Low/Close Price Action Channel (PAC), the PAC channel display is disabled by default.
3. Optionally display Fractals and optional Fractal levels
4. Optional HH, LH, LL, HL finder.
5. Optional Buy/Sell "PB" exit Alerts with Optional 200EMA filter.
6. Coloured coded Bar high lighting based on the PAC:
blue = bar closed above PAC
red = bar closed below PAC
gray = bar closed inside PAC
7. Alert condition sent to TradingView's Alarm subsystem for PB exits.
8. Pivot points with optional labels.
9. EMA5-12 Ribbon is displayed by default.
10.EMA12-36 Ribbon is displayed by default
Set up and hints:
I am unable to provide a full description here, as Pullback Trading incorporates a full trading Methodology, there are a number of articles and books written on the subject.
Set the chart to Heikin Ashi Candles (optional).
I also add a "Sweetspot Gold R3" indicator to the chart as well to help with support and resistance finding and shows where the important "00" lines are.
First on a weekly basis say Sunday night or Monday morning, analyse the Daily and Weekly charts to establish overall trends, and support/resistant levels. Draw significant mini trend lines (2/3 TL), vertical trend lines (VTL) and S/R levels. Can use the Pivots points to guide VTL drawing and Fractals to help guide 2/3 TL drawing.
Once the trend direction and any potential major reversals highlighted, drop down to lower timeframe chart and draw appropriate mini Trend line (2/3 TL) matching the established momentum direction. Take note of potential pull backs from and of the EMAs, in particular the EMA5-12 ribbon, EMA12-36 Ribbon and the 200EMA. Can use the Pivots and/or Fractals points to guide your 2/3 TL drawing.
Set a TradingView alarm on the "PBTOOL alert", with the default settings this normally occurs before or during the Break of the manually drawn TL lines.
Once alerted check to see if the TL is broken and is returning to trend away from the EMA lines, this is indicated by bar colour change to trend directional colour.
You can trade that alert or drop down to even lower time frames and perform the same TL analysis there to find trades at the lower TF. Trading at lower TF you will allow tighter Stop loss settings.
Other than the "SweetSpot Gold R3" indicator, you should not need any other indicator to successfully trade trends for Pullbacks and reversals. If you really want another indicator I suggest a momentum one for example: AO ( Awesome Oscillator ), MACD or Squeeze Momentum.
Spartan Trader FX IndicatorUnofficial (I am not affiliated to www.spartantraderfx.com in any way) combo indicator providing all the indicators needed for their trading system (default coloring as presented in the materials):
EMA 12 line
EMA 36 line
EMA 200 line
EMA 633 line
EMA 200 and EMA 633 volatility zone
EMA 12/36 crossover arrows
heiken ashi color overlay(helpful when trying to see true open and close of candles using regular candlesticks)
Scalping Swing Trading Tool R1-4 by JustUncleLDescription:
This study project is a "Scalping Swing trading Tool" and is an alternative to the "Scalping Pullback Tool R1". It is designed for a two pane TradingView chart layout :
the first pane set to 15min Time Frame;
the second pane set to 1min Time Frame(TF).
The tools incorporates the majority of the indicators needed to analyse and scalp Trends for Swings, PullBacks and reversals on 15min charts and 1min charts.
Incorporated within this tool are the following indicators:
1. The following EMAs are drawn automatically:
Green = EMA89 (15min TF) = EMA75 (1min TF)
Blue = EMA200 (15min TF) = EMA180 (1min TF)
Black = EMA633 (15min TF) = EMA540 (1min TF)
2. The 10EMA (default) High/Low+Close Price Action Channel (PAC), the PAC channel
display is disabled by default.
3. Optionally display Fractals and optional Fractal levels
4. Optional HH, LH, LL, HL finder.
5. Coloured coded Bar high lighting based on the PAC:
blue = bar closed above PAC
red = bar closed below PAC
gray = bar closed inside PAC
lime Line = EMA10 of bar close
6. Pivot points (disables Fractals automatically when selected) with optional labels.
7. EMA5-12 Channel is displayed by default.
8. EMA12-36 Ribbon is displayed by default
9. Optionally display EMA36 and PAC instead of EMA12-36 Ribbon.
Set up and hints:
I am unable to provide a full description here, as Pullback Trading incorporates a full trading Methodology, there are a number of articles and books written on the subject.
Set to two pane TradingView chart, set first pane to 15Min and second to 1min.
Set the chart to Heikin Ashi Candles (optional).
I also add a "Sweetspot Gold2" indicator to the chart as well to help with support and resistance finding and shows where the important "00" lines are.
Use the EMA200 on the 15min pane as the anchor. So when prices above EMA200 we only trade long (buy) and when prices below the EMA200 we only trade short (sell).
On the 15min chart draw any obvious Vertical Trend Lines (VTL), use Pivots point as a guide.
On the 15min chart what we’re looking for price to Pullback into the EMA5-12 Channel or EMA12-36 ribbon, we draw Trendlines uitilising the Pivot points or Fractals to guide your TL drawing.
On the 15min chart look for the trend to resume and break through the drawn TL. The bar color needs to change back to the trend direction colour to confirm as a break.
Now this break can be traded as a 15min trade or now look to the 1min chart.
On the 1min chart draw any Pullback into any of the EMAs.
On the 1min chart look for the trend to resume and break through the drawn TL. The bar color needs to change back to the trend direction colour to confirm as a break.
Now this break can be traded as a 1min trade.
There is also an option to select Pristine (ie Ideal) filtered Fractals, which look like tents or V shape 5-candle patterns. These are actually used to calculate the Pivot points as well.
Other than the "SweetSpot Gold2" indicator, you should not need any other indicator to successfully trade trends for Pullbacks and reversals. If you really want another indicator use the AO (Awesome Oscillator) as it is momentum based.
Murray Math LevelsThe original script was posted on ProRealCode by user supertiti.
The Murray Math lines levels are determined within some principles of Gann levels and candlesticks formations. The Murray Math levels act pretty much like pivot and support/resistance areas.
1. Line 8/8 - 0/8 (Ultimate Support and Ultimate Resistance).
Those lines are the most strong concerning Support and resistance.
2. Line 7/8 (Weak, Place to Stop and Reverse).
This line is weak. If suddenly the price was going too fast and too far and stops around this line it means the price will reverse down very soon. If the price did not stop near this line this price will continue the movement to the line 8/8.
3. Line 1/8 (Weak, Place to Stop and Reverse).
This line is weak. If suddenly the price was going too fast and too far and stops around this line it means the price will reverse up very soon. If the price did not stop near this line this price will continue the movement down to the line 0/8.
4. Line 2/8 and 6/8 (Pivot, Reverse)
Those two lines yield the line 4/8 only to the strength to reverse the price movement.
5. Line 5/8 (Top of Trading Range)
The price is spending the about 40% of the time on the movement between the lines 5/8 and 3/8. If the price is moving near line 5/8 and stopping near the line during the 10 - 12 days so it means that it is necessary to sell in this "bonus zone" (some people are doing like this) but if the price is keeping the tendency to stay above 5/8 line, so it means that the price will be above. But if the price is droping below 5/8 line it means that the price will continue falling to the next level of resistance.
6. Line 3/8 (Bottom of Trading Range).
If the price is below this line and in uptrend it means that it will be very difficult for the price to break this level. If the price broke this line during the uptrend and staying above during the 10- 12 days it means that the price will be above this line during the 40% of its time moving between this line and 5/8 line.
7. Line 4/8 (Major Support/Resistance Line).
It is the major line concerning support and resistance. This level is the better for the new sell or buy. It is the strong level of support of the price is above 4/8. It is the fine resistance line if the price is below this 4/8 line.
Candlestick Trend Indicator v0.5 by JustUncleLRequested Update to this Indicator alert project. In this update I have added the option to be able select which Price Action candles you want included in the display and the generated alarm Alert. Other changes also included in this update:
Also added a Price Action candle for "Last Fractal S/R Break", this also a good continuation indication.
Added option to select a different moving average types for directional MA line.
Modified some default settings, using HullMA instead of Zero Lag EMA and standard MACD settings(12,26,9).
Description:
This is a trend following indicator and alert for Binary Options based on Candlestick patterns and trend line -
NOTE: original system was a forex trading system.
This code combines a number of indicators to create an overall trading strategy.
The indicator recognises and displays some useful candle named defined patterns that are used to support trend continuation:
Bearish + Bullish PinBars
Dark Cloud Cover
Piecing Line
Bullish + Bearish Harami
Bullish + Bearish Engulfing Candle
Bullish + Bearish Last Fractal S/R break
Also recognises main Price Action candles from ChrisMoody (CM), the four(4) price action patterns are colored coded bars:
Yellow = Inside Bar - breakout/continuance
Orange = Outside Bar - breakout/continuance
Aqua/Fuschia = Up/Down Shaved Bars - Buying/Selling pressure
Red/Green = Possible reversal PinBars - Reverse Down / reverse Up
The highlighted candles (maroon and darker green) represent the defined PA patterns that have been confirmed following the current trend direction that is indicated by the Hull MA(20) line (can select a different type of MA, or even disable) and confirmed by MACD direction (can be disabled). The confirmed Alerts are indication by green (buy) and red (sell) dots at the bottom of the chart. An alert is generated from this selection for the alert condition of the alarming system.
The fractal upper/lower break lines are also draw, if the (optional) last fractal break line is broken by a highlighted bar then this indicates a stronger trend conformation.
The MACD indicator MACD DEUTER 2 colour(12,26,9) you can visually see the MACD histogram colours with MACD direction - needs "MACD DEUTER 2 colour" indicator.
This multi-indicator set up is suitable for 1hr, 4hr and daily charts with 1-4 candle expiry.
References and Inspiration from:
Fractal Levels by RicardoSantos
Almost Zero Lag EMA
Candlestick Patterns With EMA by rmwaddelljr
CM_Price-Action-Bars by ChrisMoody
www.forexstrategiesresources.com
"Scalp Jockey - MTF MA Cross Visual Strategizer by JayRogers"
Sladkaya Bulochka PosledovatelnostiSerial number of the same color candles - a popular method of how to find the exact entry zones and determine the trends and kickbacks.
The number of consecutive candles usually starts from 3 and up to 12 in some strategies.
5 candles in sequence - one of the most popular signals. Login at the close of the 5th candle.
---------------------------------------------
Последовательное число свечей одинакового цвета - популярный метод как поиска точных зон входа, так и определения трендов и откатов.
Число последовательных свечей, как правило, начинается с 3 и доходит до 12 в некоторых стратегиях.
5 свечей в последовательности - один из наиболее популярных сигналов. Вход на закрытии 5й свечи.
MACD trend heatmap (by ChartArt)This is an overlay indicator which uses the classic period settings and signals from the MACD (Moving Average Convergence/Divergence) indicator to overlay a heatmap using all the information the MACD generates with its three periods (12,26,9).
The first two moving averages which the MACD uses (12 and 26) can be plotted on the chart like usual EMAs.
In addition to the background color function (the heatmap) and the EMAs, there is an optional bar color alert when the uptrend or the downtrend as measured by the MACD appears to be very strong.
Stoch_VX2Nothing New about a Stochastic but maybe in how you use them ( Other than Over bought / Sold cross over & divergence signals )
Running 3 bands
Standard stoch & tops & bottoms swing band
Optimised variables 12, 5 , 3 or fib 13, 5, 3 / - 12 / 3 / 3 a little bit tighter to combine both smoothness & accuracy. These are my own personal setting inc. Strategy.
MACD Color Trawler (by ChartArt)This version of the MACD indicator is 'trawling' (checking) if the MACD histogram and the zero line crossing with the MACD line are both positive or negative. The idea behind this is to show areas with higher or lower risk.
Features:
1. Enable the bar color
2. Enable the background color
3. Change zero line value
FYI:
"The MACD-Histogram is an indicator of an indicator. In fact, MACD is also an indicator of an indicator. This means that the MACD-Histogram is the fourth derivative of price."
First derivative: 12-day EMA and 26-day EMA
Second derivative: MACD (12-day EMA less the 26-day EMA)
Third derivative: MACD signal line (9-day EMA of MACD)
Fourth derivative: MACD-Histogram (MACD less MACD signal line)
Source: stockcharts.com
EMA Bands + 50 SMMA (with Live Labels)EMA bands with labels to make it easier to see where we are and with 12/21 cross over colourchnage, lable to highlight bullish or bearish
Peter System M15–H1 Pro (Lite Version)//@version=5
indicator("Peter System M15–H1 Pro (Lite Version)", overlay=true)
// === INPUTS ===
emaFastLength = input.int(20, "EMA Fast (Short-Term)")
emaMidLength = input.int(50, "EMA Mid (Medium-Term)")
emaSlowLength = input.int(200, "EMA Slow (Long-Term)")
// MACD Parameters
fastLength = input.int(12, "MACD Fast Length")
slowLength = input.int(26, "MACD Slow Length")
signalLength = input.int(9, "MACD Signal Length")
// RSI Parameters
rsiLength = input.int(14, "RSI Length")
rsiOverbought = input.int(70, "RSI Overbought")
rsiOversold = input.int(30, "RSI Oversold")
// === CALCULATIONS ===
emaFast = ta.ema(close, emaFastLength)
emaMid = ta.ema(close, emaMidLength)
emaSlow = ta.ema(close, emaSlowLength)
macd = ta.ema(close, fastLength) - ta.ema(close, slowLength)
signal = ta.ema(macd, signalLength)
hist = macd - signal
rsi = ta.rsi(close, rsiLength)
// === CONDITIONS ===
buySignal = ta.crossover(emaFast, emaMid) and macd > signal and rsi > 50
sellSignal = ta.crossunder(emaFast, emaMid) and macd < signal and rsi < 50
// === PLOT EMA ===
plot(emaFast, color=color.new(color.teal, 0), title="EMA 20", linewidth=2)
plot(emaMid, color=color.new(color.orange, 0), title="EMA 50", linewidth=2)
plot(emaSlow, color=color.new(color.purple, 0), title="EMA 200", linewidth=2)
// === SIGNAL MARKERS ===
plotshape(buySignal, title="BUY Signal", style=shape.triangleup, color=color.new(color.lime, 0), size=size.large, location=location.belowbar, text="BUY")
plotshape(sellSignal, title="SELL Signal", style=shape.triangledown, color=color.new(color.red, 0), size=size.large, location=location.abovebar, text="SELL")
// === BACKGROUND COLOR ===
bgcolor(buySignal ? color.new(color.green, 90) : sellSignal ? color.new(color.red, 90) : na)
// === ALERTS ===
alertcondition(buySignal, title="BUY Alert", message="📈 BUY Signal from Peter System M15–H1 Pro!")
alertcondition(sellSignal, title="SELL Alert", message="📉 SELL Signal from Peter System M15–H1 Pro!")
// === TREND LABEL ===
trendUp = emaFast > emaMid and emaMid > emaSlow
trendDown = emaFast < emaMid and emaMid < emaSlow
var label trendLabel = na
if barstate.islast
label.delete(trendLabel)
trendText = trendUp ? "📈 UP TREND" : trendDown ? "📉 DOWN TREND" : "⚖️ SIDEWAY"
trendColor = trendUp ? color.new(color.lime, 0) : trendDown ? color.new(color.red, 0) : color.new(color.orange, 0)
trendLabel := label.new(bar_index, close, trendText, style=label.style_label_up, color=trendColor, textcolor=color.white)
Weighted Moving Average (WMA)This implementation uses O(1) algorithm that eliminates the need to loop through all period values on each bar. It also generates valid WMA values from the first bar and is not returning NA when number of bars is less than period.
## Overview and Purpose
The Weighted Moving Average (WMA) is a technical indicator that applies progressively increasing weights to more recent price data. Emerging in the early 1950s during the formative years of technical analysis, WMA gained significant adoption among professional traders through the 1970s as computational methods became more accessible. The approach was formalized in Robert Colby's 1988 "Encyclopedia of Technical Market Indicators," establishing it as a staple in technical analysis software. Unlike the Simple Moving Average (SMA) which gives equal weight to all prices, WMA assigns greater importance to recent prices, creating a more responsive indicator that reacts faster to price changes while still providing effective noise filtering.
## Core Concepts
* **Linear weighting:** WMA applies progressively increasing weights to more recent price data, creating a recency bias that improves responsiveness
* **Market application:** Particularly effective for identifying trend changes earlier than SMA while maintaining better noise filtering than faster-responding averages like EMA
* **Timeframe flexibility:** Works effectively across all timeframes, with appropriate period adjustments for different trading horizons
The core innovation of WMA is its linear weighting scheme, which strikes a balance between the equal-weight approach of SMA and the exponential decay of EMA. This creates an intuitive and effective compromise that prioritizes recent data while maintaining a finite lookback period, making it particularly valuable for traders seeking to reduce lag without excessive sensitivity to price fluctuations.
## Common Settings and Parameters
| Parameter | Default | Function | When to Adjust |
|-----------|---------|----------|---------------|
| Length | 14 | Controls the lookback period | Increase for smoother signals in volatile markets, decrease for responsiveness |
| Source | close | Price data used for calculation | Consider using hlc3 for a more balanced price representation |
**Pro Tip:** For most trading applications, using a WMA with period N provides better responsiveness than an SMA with the same period, while generating fewer whipsaws than an EMA with comparable responsiveness.
## Calculation and Mathematical Foundation
**Simplified explanation:**
WMA calculates a weighted average of prices where the most recent price receives the highest weight, and each progressively older price receives one unit less weight. For example, in a 5-period WMA, the most recent price gets a weight of 5, the next most recent a weight of 4, and so on, with the oldest price getting a weight of 1.
**Technical formula:**
```
WMA = (P₁ × w₁ + P₂ × w₂ + ... + Pₙ × wₙ) / (w₁ + w₂ + ... + wₙ)
```
Where:
- Linear weights: most recent value has weight = n, second most recent has weight = n-1, etc.
- The sum of weights for a period n is calculated as: n(n+1)/2
- For example, for a 5-period WMA, the sum of weights is 5(5+1)/2 = 15
**O(1) Optimization - Dual Running Sums:**
The key insight is maintaining two running sums:
1. **Unweighted sum (S)**: Simple sum of all values in the window
2. **Weighted sum (W)**: Sum of all weighted values
The recurrence relation for a full window is:
```
W_new = W_old - S_old + (n × P_new)
```
This works because when all weights decrement by 1 (as the window slides), it's mathematically equivalent to subtracting the entire unweighted sum. The implementation:
- **During warmup**: Accumulates both sums as the window fills, computing denominator each bar
- **After warmup**: Uses cached denominator (constant at n(n+1)/2), updates both sums in constant time
- **Performance**: ~8 operations per bar regardless of period, vs ~100+ for naive O(n) implementation
> 🔍 **Technical Note:** Unlike EMA which theoretically considers all historical data (with diminishing influence), WMA has a finite memory, completely dropping prices that fall outside its lookback window. This creates a cleaner break from outdated market conditions. The O(1) optimization achieves 12-25x speedup over naive implementations while maintaining exact mathematical equivalence.
## Interpretation Details
WMA can be used in various trading strategies:
* **Trend identification:** The direction of WMA indicates the prevailing trend with greater responsiveness than SMA
* **Signal generation:** Crossovers between price and WMA generate trade signals earlier than with SMA
* **Support/resistance levels:** WMA can act as dynamic support during uptrends and resistance during downtrends
* **Moving average crossovers:** When a shorter-period WMA crosses above a longer-period WMA, it signals a potential uptrend (and vice versa)
* **Trend strength assessment:** Distance between price and WMA can indicate trend strength
## Limitations and Considerations
* **Market conditions:** Still suboptimal in highly volatile or sideways markets where enhanced responsiveness may generate false signals
* **Lag factor:** While less than SMA, still introduces some lag in signal generation
* **Abrupt window exit:** The oldest price suddenly drops out of calculation when leaving the window, potentially causing small jumps
* **Step changes:** Linear weighting creates discrete steps in influence rather than a smooth decay
* **Complementary tools:** Best used with volume indicators and momentum oscillators for confirmation
## References
* Colby, Robert W. "The Encyclopedia of Technical Market Indicators." McGraw-Hill, 2002
* Murphy, John J. "Technical Analysis of the Financial Markets." New York Institute of Finance, 1999
* Kaufman, Perry J. "Trading Systems and Methods." Wiley, 2013
CCI [Hash Adaptive]Adaptive CCI Pro: Professional Technical Analysis Indicator
The Commodity Channel Index is a momentum oscillator developed by Donald Lambert in 1980. CCI measures the relationship between an asset's price and its statistical average, identifying cyclical turns and overbought/oversold conditions. The indicator oscillates around zero, with values above +100 indicating overbought conditions and values below -100 suggesting oversold conditions.
Standard CCI Formula: (Typical Price - Moving Average) / (0.015 × Mean Deviation)
This indicator transforms the traditional CCI into a sophisticated visual analysis tool through several key enhancements:
Implements dual exponential moving average smoothing to eliminate market noise
Preserves signal integrity while reducing false signals
Adaptive smoothing responds to market volatility conditions
Dynamic Color Visualization System
Continuous gradient transitions from red (bearish momentum) to green (bullish momentum)
Real-time color intensity reflects momentum strength
Eliminates discrete color jumps for fluid visual interpretation
Adaptive Intelligence Features
Dynamic overbought/oversold thresholds adapt to market conditions
Reduces false signals during high volatility periods
Maintains sensitivity during low volatility environments
Momentum Vector Analysis
Incorporates velocity calculations for early trend identification
Crossover detection with momentum confirmation
Advanced signal filtering reduces market noise
Extreme Level Analysis
Values above +100: Strong overbought conditions, potential reversal zones
Values below -100: Strong oversold conditions, potential buying opportunities
Zero-line crossovers: Momentum shift confirmation
Optimization Parameters
CCI Period (Default: 14)
Shorter periods (10-12): Increased sensitivity, more signals
Standard periods (14-20): Balanced responsiveness and reliability
Longer periods (21-30): Reduced noise, stronger signal confirmation
Smoothing Factor (Default: 5)
Lower values (1-3): Maximum responsiveness, suitable for scalping
Medium values (4-6): Balanced approach for swing trading
Higher values (7-10): Institutional-grade smoothness for position trading
Signal Sensitivity (Default: 6)
Conservative (7-10): High-probability signals, reduced frequency
Balanced (5-6): Optimal risk-reward ratio
Aggressive (1-4): Maximum signal generation, requires additional confirmation
Strategic Implementation
Oversold reversals in red zones with momentum confirmation
Zero-line breaks with sustained color transitions
Extreme readings followed by momentum divergence
Risk Management
Use extreme levels (+100/-100) for position sizing decisions
Monitor color intensity for momentum strength assessment
Combine with price action analysis for comprehensive market view
Market Context Application
Trending markets: Focus on momentum direction and extreme readings
Range-bound markets: Utilize overbought/oversold levels for mean reversion
Volatile markets: Increase smoothing parameters and signal sensitivity
Professional Advantages
Instantaneous momentum assessment through color visualization
Reduced cognitive load compared to traditional oscillators
Professional presentation suitable for client reporting
Adaptive Technology
Self-adjusting parameters reduce manual optimization requirements
Consistent performance across varying market conditions
Advanced mathematics eliminate common CCI limitations
The Adaptive CCI Pro represents the evolution of momentum analysis, combining Lambert's foundational CCI concept with modern computational techniques to deliver institutional-grade market intelligence through an intuitive visual interface.
ATR Money Line Bands V2The "ATR Money Line Bands V2" is a clever TradingView overlay designed for trend identification with volatility-aware bands, evolving from basic ATR envelopes.
Reasoning Behind Construction: The core idea is to blend a smoothed trend line with dynamic volatility bands for reliable signals in varying markets. The "Money Line" uses linear regression (ta.linreg) on closes over a length (default 16) instead of a moving average, as it fits data via least-squares for a cleaner, forward-projected trend without lag artifacts. ATR (default 12-period) powers the bands because it measures true range volatility better than std dev in gappy assets like crypto/stocks—bands offset from the Money Line by ATR * multiplier (default 1.5). A dynamic multiplier (boosts by ~33% on spikes > prior ATR * 1.3) prevents tight bands from false breakouts during surges. Trend detection checks slope against an ATR-scaled tolerance (default 0.15) to ignore noise, labeling bull/bear/neutral—avoiding whipsaws in flats.
Properties: It's an overlay with a colored Money Line (green bull, red bear, yellow neutral) and invisible bands (toggle to show gray lines) filled semi-transparently matching trend for visual pop. Dynamic adaptation makes bands widen/contract intelligently. An info table (positionable, e.g., top_right) displays real-time values: Money Line, bands, ATR, trend—great for quick scans. Limits history (2000 bars) and labels (500) for efficiency.
Tips for Usage: Apply to any timeframe/asset; defaults suit medium-term (e.g., daily stocks). Watch color flips: green for longs (enter on pullbacks to lower band), red for shorts (vice versa), yellow to sit out. Use bands as S/R—breakouts signal momentum, squeezes impending vol. Tweak length for sensitivity (shorter for intraday), multiplier for width (higher for trends), tolerance for fewer neutrals. Pair with volume/RSI for confirmation; backtest to optimize. In choppy markets, disable dynamic mult to avoid over-expansion. Overall, it's adaptive and visual—helps trend-follow without overcomplicating.
27 ALERT INFY EQ | Manual JSON Only//@version=6
indicator("27 ALERT INFY EQ | Manual JSON Only", overlay=true)
//────────────────────────────────────────────
// 🔧 USER INPUTS
//────────────────────────────────────────────
symbol_name = input.string("INFY", "Equity Symbol (for labels only)")
tradeMode = input.string("Intraday", "Trade Mode (for dashboard)", options= )
// Paste your exact Dhan payloads below (must be single-line strings)
json_buy = input.string('{"secret":"hWMIU","alertType":"multi_leg_order","order_legs": }', "BUY JSON Script")
json_sell = input.string('{"secret":"hWMIU","alertType":"multi_leg_order","order_legs": }', "SELL JSON Script")
//────────────────────────────────────────────
// 📊 SIGNAL LOGIC (Heikin Ashi + MACD)
//────────────────────────────────────────────
ha_close = (open + high + low + close) / 4.0
var float ha_open = na
ha_open := na(ha_open ) ? (open + close)/2.0 : (ha_open + ha_close )/2.0
isBull = ha_close > ha_open
isBear = ha_close < ha_open
= ta.macd(close, 12, 26, 9)
macdBull = macdLine > signalLine
macdBear = macdLine < signalLine
//────────────────────────────────────────────
// 🚀 ENTRY / EXIT (One-Candle Confirmation)
//────────────────────────────────────────────
var bool inTrade = false
var string lastEvent = "Waiting..."
buyCondition = isBull and macdBull and not inTrade
sellCondition = isBear and macdBear and inTrade
if buyCondition
inTrade := true
lastEvent := "BUY"
label.new(bar_index, low, "🟢 BUY " + symbol_name, style=label.style_label_up, color=color.new(color.green, 0))
alert(json_buy, alert.freq_once_per_bar_close)
if sellCondition
inTrade := false
lastEvent := "SELL"
label.new(bar_index, high, "🔴 SELL " + symbol_name, style=label.style_label_down, color=color.new(color.red, 0))
alert(json_sell, alert.freq_once_per_bar_close)
//────────────────────────────────────────────
// 🧭 DASHBOARD
//────────────────────────────────────────────
var table dash = table.new(position.top_right, 2, 6, border_width=1)
if barstate.isfirst
table.cell(dash, 0, 0, "📊 " + symbol_name + " EQ", bgcolor=color.new(color.black, 60), text_color=color.white)
table.cell(dash, 0, 1, "Symbol")
table.cell(dash, 0, 2, "Position")
table.cell(dash, 0, 3, "Trend")
table.cell(dash, 0, 4, "Mode")
table.cell(dash, 0, 5, "Alert Type")
trendTxt = isBull ? "BULLISH" : isBear ? "BEARISH" : "NEUTRAL"
if barstate.islast
table.cell(dash, 1, 1, symbol_name)
table.cell(dash, 1, 2, inTrade ? "LONG" : "FLAT")
table.cell(dash, 1, 3, trendTxt)
table.cell(dash, 1, 4, tradeMode)
table.cell(dash, 1, 5, "MANUAL JSON")






















