ATA v4 StrategyAta strategy is include 3 different time frame = MTF
2 different moving average =MA
Oversold/overbought for relative strength index =RSI
Strategy exit for trailing stop loss %2 =TSL
MTF like 1 day, 4h and 5 min, between 2 moving averages like fibo numbers 21 and 34. Also strategy test for oversold up to 60 and overbought under the 25 with RSI. Stratefy exit include trailing stop loss %2 persantage for max. gain. It was created by XMAXPRO. This system is open to development.
Поиск скриптов по запросу "mtf"
EMA FAST-SLOWThis indicator has the following
ema fast (length 3 and 8 ) based on 240 min
ema slow (length 3 and 8 ) based on daily MTF
The reason for the two length in each EMA is to give us the the insight of shorter trend in larger trend
so the large trend is when ema fast 240 min is above the daily ema slow this is shown in the bullish or bearish zones
the smaler trend for each MTF is shown in different color (lime:red) for ema fast 240 min , and (green:orange) for the slow daily EMA
when we this setting on smaller time frame so it more easy to see where the asset is going this the basic idea
you can change the setting as you wish in oreder to find the best one for your time frame
Crypto Indicators #u9tusA set of low timeframe (LTF), medium timeframe (MTF), and high timeframe (HTF) indicators for use in crypto currencies / bitcoin.
Traditionally the 10, 20, 50, 100, and 200 SMAs are used in TA. With cryptos, I've found that the 8 EMA, 21, 55, and 128 SMAs backtest better, while no change in length was necessary for the 200. I wanted to combine all these into one indicator to easily add them to a chart layout, hence this script.
You can customize the length of each MA to your liking in the settings, or accept the defaults.
LTF Indicators:
8 EMA in blue hues, medium line stroke.
MTF Indicators:
21, 55 SMA in purple hues, medium line stroke.
HTF Indicators:
128, 200 SMA in yellow hues, thick line stroke.
Defaults are for daily timeframes and lower; suggest changing up the intervals for weekly and monthly to:
21 -> 30
55 -> 50
128 -> 100
$BTC, $ETH, #ALTS
twitter.com
(c) @jhaurawachsman 20190515
X system v1Similar to X system but here I use the super trend with MTF function
the sell option depend on the % channel sell seen in red as bearish rule (so both need to agree)
the buy option depend only on the MTF which is set on 2 hour on 1 hour candles. you can try to modify if you want shorter times to see if it better
if you want it sell more just remove the and bearish rule from t green for buy in the code
try to make it better and I hope it can help you :)
Donochian CCISo this indicator have the following:
1. MTF CCI
2. donochian channel MTF both non repaint mode
buliish and bearish zone determine by ratio of the the donochian cahnnel
enter or exit can be either the bullish or bearish change of color or by cross over or under of the CCI
or combination of both
The high max and low max of the donochian channel show in hilated bar
Donochian zonesThis indicator give the ratio between the high and low of donochian channel and if we take ratio and add it to each other then we can calculate if it + meaning bullish trend or negative meaning bearish trend
using non repainting MTF we can see the zone of the channel at different time set
we can use this indicator to filter bad signal or make it stand alone
here example of amazon stock with 360 min mtf over one hour graph
here facebook 240min over 15 min graph
linreg-areas (like fib system just more accurate) So this system is a different approach to form a daily fib like system.
Its based on linear regression and its slope , we calculate the slope of the line and we put it in MTF format that is without security and non repainting (int2=1440 min)
As you in graph the coin in this case BTC has cycle from low to high similar to the fibs system.
the lowest level is bellow -0.2 , next level is -0.1 ,0,0.1 and above 0.2 is consider the highest
with this system its easy to find the highs and the lows as the coin go between the levels either up or down like the fibs system.
one can use this together with fibs system in order to make analysis more accurate.
also it easy to set signals once the slope go between levels either up or down . another advantage for this system compare to fibs system is the ability to reduce the MTF to lower frame let say 4 hour or even less and then by the same logic to create system of high and lows to the most smaller frames (but if you do that you need in code to change the levels setting numbers so it fit the best )
follow the direction of the slope and you will find the road that you wish:))
Moving Average Stop and Reverse alertsNothing fancy here , the main study is this one
so all credit to him. I change the MTF settings (int2 is contol of that ) and adds alerts
So in basic its a better SAR with MTF function
DEMARSIV1 alerts and take profitThis version is the same as DEMARSI with following differences
I add take profit to short and long when DEMA MTF 1 is crossing DEMA MTF 2 (they are calculated different that why when you increase int2 in min to longer time the difference between them increse)
if you want the TP to be on signal of fast and slow DEMA RSI 2 (just change the code inside) by putting the long cond to be as the buy cond
for any questions please ask
BSP-colorsIts MTF of the BSP model. here i need to warn you that this model can repaint. so I did not create any signals to it. On the other hand since its design for this mistake. you can use it to see the bullish or bearish zones in easy way.
So the basic idea here is to see the zones of buy and sell of weis model in mTF format.
Inverse Fisher-rsi-crudeSo this is a crude version just to show the idea. I use the code of capissoimo, www.tradingview.com
together with my older code and I just change few things. in next version I will try make it more correct, but this is just to show the idea of the MTF reverse fisher RSI
this is setting for 30 min graph with MTF of 120 min
so have fun
Gomoku_V2I tried to improve the one - step equilibrium table.
Since the original glance consisted of the middle line of the Hiroo band, something is calculated from the upper and lower lines.
Leading span A = Double the width of the HiLo band (Green 2) * (1-75 (≒ 76.4% return)), the central complex clouds only changed the expression at a glance.
It is unified to shift all lines at first glance by 25. The old lagging span was renamed to the preceding price span.
You can use the first line of conversion line and reference line with the combination of the preceding conversion line, the preceding reference line and the preceding price span.
The part surrounded by the preceding conversion line and the preceding reference line is defined as rain cloud.
The leading span B is the interpretation of the rain cloud and the effective value of the cloud.
(the width of the reference line and the leading span A) ÷ The width of the rain cloud is like the intensity of the cloud.
Rain clouds have the same properties as clouds, and the twisted parts are weak.
When the type of cloud and rain cloud are different, it is countervailing and resistance seems to be weak.
Even when the width of the leading span A and the leading reference line is narrow, the resistance seems to be weak.
It seems there are clouds above and below as well because it was the motivation for development so there are two clouds each above and below. The clouds are five (although it is actually six) so it is the fifth grade.
It should normally be bounced back in the green zone.
There is a red zone for abnormal price fluctuations.
It seems that the upper and lower clouds only bounce back toward the center.
If you are not satisfied with price movements overall it seems that you are in the range market, often breaking through for the passage of time.
Update Ver 2.0
integrate MTF amagumo
Devices of color arrangement
The resistance is strong where the cloud color is thin.
It should be weak as the force is canceled as much as it is black.
Batch display option for each part
Specealthanks
Ichimoku kinkou hyou
KazmaxFAN Club # Place for technical discussion
一目均衡表を改良してみました。
元の一目はハイローバンドの中線から構成されていたので、上下の線から何かを算出しています。
先行スパンA＝ハイローバンドの幅の2倍（Green2）*（1-75（≒76.4％戻し）） という発見により、中央の複雑な雲は一目の表現を変えるだけにしました。
一目の線は全て25前にずらすのに統一です。旧遅行スパンは先行価格スパンに改名しました。
先行転換線と先行基準線と先行価格スパンの組み合わせで一目の転換線と基準線の使い方が出来ます。
先行転換線と先行基準線で囲まれた部分は雨雲と定義。
先行スパンBは雨雲と雲の実効値という解釈です。
（基準線と先行スパンAの幅）÷雨雲の幅が雲の強度という感じです。
雨雲も雲と同じ性質を持っていて、ねじれた部分は弱いぽいです。
雲と雨雲の種類が異なる時は打ち消しあって抵抗が弱いようです。
先行スパンAと先行基準線の幅が狭い時も抵抗が弱いようです。
上下にも雲があるように思えたのが開発の動機だったので上下に各２本雲があります。雲が５本（本当は６本ですが）だから五目です。
通常はグリーンゾーンで跳ね返されるはずです。
異常な価格変動用にレッドゾーンがあります。
上下の雲は中央に向けて跳ね返すくらいしかしないようです。
全体的に価格移動に困ればレンジ相場になって、時間の経過で強行突破することが多いように見えます。
Update Ver2.0
MTF amagumoを統合
配色を工夫
雲の色が薄い所は抵抗が強いです。
黒い所ほど力が打ち消しあって弱いはずです。
各パーツごとに一括表示オプション
Specealthanks
一目均衡表
KazmaxFAN倶楽部 ＃テクニカル議論の場
1MTF MACD Alignement XAUUSD - Webhook v6//@version=6
indicator("MTF MACD Alignement XAUUSD - Webhook v6", overlay=false)
// ===== Paramètres utilisateur =====
fast_len = input.int(12, "Fast Length")
slow_len = input.int(26, "Slow Length")
signal_len = input.int(9, "Signal Length")
repl_secret = input.string(title="Webhook secret (doit matcher WEBHOOK_SECRET)", defval="Covid-19@2020")
// ===== Fonction MACD histogramme =====
f_macd_hist(src) =>
macd = ta.ema(src, fast_len) - ta.ema(src, slow_len)
signal = ta.ema(macd, signal_len)
hist = macd - signal
hist
// ===== Récupération multi-timeframe =====
hist4h = request.security(syminfo.tickerid, "240", f_macd_hist(close), lookahead=barmerge.lookahead_off)
hist1h = request.security(syminfo.tickerid, "60", f_macd_hist(close), lookahead=barmerge.lookahead_off)
hist15m = request.security(syminfo.tickerid, "15", f_macd_hist(close), lookahead=barmerge.lookahead_off)
hist5m = request.security(syminfo.tickerid, "5", f_macd_hist(close), lookahead=barmerge.lookahead_off)
// ===== Signes de MACD =====
s4 = hist4h > 0 ? 1 : (hist4h < 0 ? -1 : 0)
s1 = hist1h > 0 ? 1 : (hist1h < 0 ? -1 : 0)
s15 = hist15m > 0 ? 1 : (hist15m < 0 ? -1 : 0)
s5 = hist5m > 0 ? 1 : (hist5m < 0 ? -1 : 0)
// ===== Vérification alignement TF supérieurs =====
three_same = (s4 != 0) and (s4 == s1) and (s1 == s15)
// ===== Confirmation 5M =====
five_in_same = three_same and (s5 == s4)
// ===== Préparation du JSON pour webhook =====
signal_type = s4 == 1 ? "BUY" : (s4 == -1 ? "SELL" : "NEUTRAL")
alert_json = '{"secret":"'+repl_secret+'","symbol":"'+syminfo.ticker+'","signal":"'+signal_type+'","time":"'+str.tostring(time, "yyyy-MM-dd HH:mm:ss")+'","aligned": }'
// ===== Alertcondition compilable =====
// v6 n’accepte pas message dynamique, donc on met un message fixe
alertcondition(five_in_same and ta.change(five_in_same), title="MACD Align + 5M confirm", message="MACD alignement détecté")
// ===== Affichage optionnel des histogrammes =====
plot(hist4h, title="hist 4H", color=color.new(color.green, 0), linewidth=1)
plot(hist1h, title="hist 1H", color=color.new(color.blue, 0), linewidth=1)
plot(hist15m, title="hist 15M", color=color.new(color.orange, 0), linewidth=1)
plot(hist5m, title="hist 5M", color=color.new(color.purple, 0), linewidth=1)
Diganta Trend MTF 10 MIn / 2 MinThe Script does the following :
Buy Condition - Blue Dot gets plotted
1. On both 10 mins and 2 Mins TF
2. Close above 33 ema high
3. RSI > 55
4. +di > -Di & +di > 25
Sell Conditions - Red Dot gets plotted
1. On both 10 mins and 2 Mins TF
2. Close below 33 ema low
3. RSI < 45
4. -di > +Di & -di > 25
Multi-Tool VWAP + EMAs (Multi-Timeframe) + Key LevelsDescription
This indicator combines several commonly used technical analysis tools into a single script, especially useful for traders using the free version of TradingView or anyone looking to reduce the number of indicators on their chart.
The goal is to provide clear visual references for trend, structure, and key levels—without generating buy/sell signals or automated trading functions.
Included Features
1. VWAP (session-anchored)
Source: HLC3
Purple line, thickness 2
Useful as a reference for daily institutional average price.
2. EMAs of the current timeframe
EMA 200 (red, thickness 3)
EMA 9 (green, thickness 1)
These EMAs help visualize long-term trend and short-term momentum.
3. Dynamic EMAs (MTF – Multi-Timeframe)
The indicator displays the 200 EMA from higher timeframes as dynamic horizontal levels:
5 minutes
15 minutes
30 minutes
1 hour
4 hours
1 day
Each level includes a descriptive label such as “15 min EMA 200”.
These EMAs serve as reference points for potential support/resistance areas coming from higher timeframes.
4. Automatic Key Levels
The indicator plots several important price levels:
Previous day:
PDH (Previous Day High)
PDL (Previous Day Low)
Previous Day 50% Fibonacci level
Pre-market (04:00–09:30 exchange time):
PMH (Pre-Market High)
PML (Pre-Market Low)
Current session:
Open (session opening price)
Previous Close (prior day’s closing price)
Purpose and Scope
This script is designed to provide basic visual reference points to support discretionary analysis.
It does not generate signals or trading suggestions, and it is not intended to predict future price movements.
How to Use It
Enable or disable each block in the Inputs section according to your analysis style.
Observe how the levels, EMAs, and VWAP interact with market structure.
Use it as a visual complement to your personal technical analysis.
Limitations
This indicator is not a trading system and does not guarantee results.
It does not include alerts, backtesting, or entry/exit logic.
Some values (such as PMH/PML) depend on the symbol’s exchange trading hours.
Credits
Designed as an educational and analytical tool for traders seeking to simplify their charts without losing key information.
Custom MTF VWAP 5x This is a combination of all VWAPs I use to find high probability trade setups and targets by only taking trades when different VWAPs align
MACD Momentum Structure & Volume Profile Sniper [MTF]**Description and Methodology**
This script offers a unique approach to Market Structure by moving away from traditional fractal-based highs and lows (which can be noisy). Instead, it utilizes **MACD Momentum Swings** to identify significant structural points, combined with an automated Fixed Range Volume Profile to pinpoint high-probability entry zones.
**1. Why MACD Structure? (The Core Concept)**
Traditional "ZigZag" or Fractal indicators rely solely on price action, often leading to fake-outs during low-volume consolidation.
* This script defines a "Swing High" only when the MACD Histogram crosses below zero (Momentum shifts Bearish).
* This script defines a "Swing Low" only when MACD crosses above zero (Momentum shifts Bullish).
By linking structure to momentum, we filter out weak price movements and focus on the true "heartbeat" of the trend.
**2. The "Mashup" Synergy: Structure + Volume + Logic**
This is not a random combination of indicators. Each component serves a specific step in the trading execution sequence:
* **Step 1 (Structure):** The script identifies a Change of Character (CHoCH) based on the MACD peaks described above.
* **Step 2 (Liquidity/Value):** When a CHoCH occurs, the script *automatically* draws a **Fixed Range Volume Profile (FRVP)** specifically covering the impulse leg that caused the break. This reveals the "Point of Control" (POC)—the hidden price level where the most volume occurred during the move.
* **Step 3 (The Sniper Entry):** The script creates a "Zone" around that POC. It then waits for Price to retrace into this zone.
* **Step 4 (Confirmation):** Once the zone is touched, the script monitors a lower timeframe (User selectable, default M1) for a fresh MACD crossover to trigger the final entry signal.
**Features**
* **Multi-Timeframe Dashboard:** Monitor the MACD Trend direction across 4 different timeframes simultaneously.
* **Dynamic Trendlines:** Automatically connects confirmed MACD peaks to visualize trend integrity.
* **Fibo Time Zones:** Projects potential future pivot points based on the duration of the previous swing.
* **Alert System:** Integrated alerts for Zone Touches and "Sniper" entries (Zone Touch + LTF Momentum Confirmation).
**How to Use**
1. **Identify Trend:** Look for the CHoCH labels. Green indicates a shift to Bullish, Red to Bearish.
2. **Wait for Pullback:** Do not chase the break. Wait for price to return to the Yellow POC Zone generated by the Volume Profile.
3. **Entry Trigger:** Watch for the "BUY" or "SELL" marks. These appear only when price hits the zone AND the lower-timeframe momentum aligns with the trade direction.
**Settings & Inputs**
* **Global MACD:** Adjust the sensitivity of the swing detection (Default 12, 26, 9).
* **Sniper Entry:** Select the timeframe used for the final confirmation (e.g., use M1 confirmation for an H1 chart structure).
* **VP Settings:** Customize how the Volume Profile looks on the chart.
*Disclaimer: This script is intended for educational purposes and market analysis. It does not provide financial advice.*
MTFToolkit-LibraryLibrary "MTFToolkit"
Multi-Timeframe Utilities Library: conversions, Fibonacci, TF sorting, MTF helpers, color gradients, demo table
timeframeToMinutes(tf)
Converts a timeframe string to minutes
Parameters:
tf (string) : Timeframe string (e.g., "1", "15", "1D", "1W", "1M")
Returns: Number of minutes as float
minutesToTimeframe(minutes)
Converts minutes to a timeframe string
Parameters:
minutes (float) : Number of minutes
Returns: Timeframe string
timeframeToSeconds(tf)
Converts a timeframe string to seconds
Parameters:
tf (string) : Timeframe string
Returns: Number of seconds
secondsToTimeframe(seconds)
Converts seconds to a timeframe string
Parameters:
seconds (float) : Number of seconds
Returns: Timeframe string
fiboGenerate(n)
Generates Fibonacci sequence up to n elements
Parameters:
n (int) : Number of elements
Returns: Array of Fibonacci numbers
fiboMapToTV(arrFibo)
Maps Fibonacci values to TradingView timeframe strings
Parameters:
arrFibo (array) : Array of Fibonacci numbers
Returns: Array of timeframe strings
arrayMergeUnique(arr1, arr2)
Merges two string arrays and keeps unique values
Parameters:
arr1 (array) : First array
arr2 (array) : Second array
Returns: Merged array with unique strings
arrayFilterMax(arr, maxMinutes)
Filters TF array by max minutes
Parameters:
arr (array) : Array of timeframe strings
maxMinutes (float) : Maximum allowed minutes
Returns: Filtered array
arraySortTF(tf_array, show_array, ascending)
Sorts TF array by minutes, optionally ascending
Parameters:
tf_array (array) : Array of timeframes
show_array (array) : Array of bool flags (for visibility)
ascending (bool)
masterTF(arr)
Returns the largest TF from array (master)
Parameters:
arr (array) : Array of TF strings
Returns: Master TF
slaveTF(arr)
Returns all TFs except master (slaves)
Parameters:
arr (array) : Array of TF strings
Returns: Array of slave TFs
isTFIncreasing(prevTF, nextTF)
Checks if next TF is larger than previous
Parameters:
prevTF (string) : Previous timeframe
nextTF (string) : Next timeframe
Returns: true if nextTF > prevTF
TFScore(values)
Computes simple average as score
Parameters:
values (array) : Array of float
Returns: Simple average (na if empty)
gradient_triangular(value, mid_point, min_color, mid_color, max_color)
Produces a triangular gradient between 3 colors
Parameters:
value (float) : Current value (0–100 or any scale)
mid_point (float) : Center point of gradient
min_color (color) : Color at low end
mid_color (color) : Color at midpoint
max_color (color) : Color at high end
Returns: A color value
TFColorGradient(tf_val, min_val, max_val)
Timeframe color gradient helper
Converts a timeframe (in minutes) into a color using a
red → yellow → green gradient.
Parameters:
tf_val (float) : Timeframe value in minutes
min_val (float) : Minimum expected minutes
max_val (float) : Maximum expected minutes
Returns: Color based on position between min_val and max_val
------------------------------------------------------------
TFColorGradientEx(tf_val, min_val, mid_val, max_val, low_color, mid_color, high_color)
Extended customizable timeframe gradient
Parameters:
tf_val (float) : Timeframe value in minutes
min_val (float) : Minimum minutes
mid_val (float) : Middle minutes
max_val (float) : Maximum minutes
low_color (color) : Color at min_val
mid_color (color) : Color at mid_val
high_color (color) : Color at max_val
Returns: Color determined by TF position
------------------------------------------------------------
demoTable(tf_arr, show_arr, dashboard_position, horizontal_table, show_header)
Creates a demo table for testing TF arrays
Parameters:
tf_arr (array) : Array of TF strings
show_arr (array) : Array of bools to show TFs
dashboard_position (string) : Position string
horizontal_table (bool) : true=horizontal, false=vertical
show_header (bool) : Show header row
V Stop MTF → STRATEGY Why this strategy works so well (your backtest proves it):
FeatureBenefitMulti-timeframe Volatility StopSmarter trend detection than single TFRepainting controlYou can choose safe non-repainting modeLimbo/breach detectionAvoids whipsaws during HTF conflictsReversing systemAlways in the market → captures all trendsCandle coloring on reversalInstant visual confirmation
Recommended settings that match your +17.33% result:
Symbol: SP:SPX or ES1!
Timeframe: 9min or 15min Heikin-Ashi
HTF: "Multiple Of Current TF" × 3 → gives ~45min on 15min chart
ATR Length: 20
ATR Factor: **2.0
$MTF Fractal Echo DetectorMIL:MTVFR FRACTAL ECHO DETECTOR by Timmy741
The first public multi-timeframe fractal convergence system that actually works.
Market makers don’t move price randomly.
They test the same fractal structure on lower timeframes first → then execute the real move on higher timeframes.
This indicator catches the “echo” — when 3–5 timeframes are printing fractals at almost the exact same price level.
That’s not coincidence. That’s preparation.
FEATURES
• 5 simultaneous timeframes (1min → 4H by default)
• Real Williams Fractal detection (configurable period)
• Dynamic echo tolerance & minimum TF alignment
• Visual S/R zones from every timeframe
• Bullish / Bearish echo convergence signals
• Strength meter (3/5, 4/5, 5/5 TF alignment)
• Zero repainting — uses proper lookahead=off
• Fully Pine v6 typed + optimized
USE CASE
When you see a 4/5 or 5/5 echo:
→ That level is being defended or attacked with intent
→ 80%+ chance the next real move comes from there
→ Trade the breakout or reversal at that exact fractal cluster
Works insane on:
• BTC / ETH (all timeframes)
• Nasdaq / SPX futures
• Forex majors (especially GBP & gold)
• 2025 small-cap rotation setups
100% Open Source • MPL 2.0 • Built by Timmy741 • December 2024
If you know about fractal echoes… you already know.
#fractal #mtf #echo #williamsfractal #multitimeframe #smartmoney #ict #smc #orderflow #convergence #timmy741 #snr #structure
1D & 1W Institutional Trend The 1D & 1W Institutional Trend is a multi-timeframe (MTF) trend-following system designed to align traders with major "macro" market moves. Instead of relying on noisy intraday data, this indicator pulls data from the Daily (1D) and Weekly (1W) timeframes to construct a robust trend baseline, regardless of the chart timeframe you are currently viewing.
The core logic is based on the interaction between a Fast Institutional EMA (Daily) and a Slow Institutional EMA (Weekly). When the Daily trend crosses above the Weekly trend, it signals a significant shift in market structure. To ensure signal quality, the script incorporates a "Smart Filter" engine that checks for Momentum (RSI) and Volatility (ATR) before generating entry signals, preventing trades during exhausted or dead markets.
Key Features
Multi-Timeframe Engine: Projects Daily and Weekly moving averages onto lower timeframe charts (e.g., 1H or 4H) to show the "Big Picture."
Non-Repainting Logic: Utilizes closed-bar data to ensure that historical signals match live trading conditions strictly.
Algorithmic Filtering:
Momentum Filter: Rejects Buy signals if RSI is overbought and Sell signals if RSI is oversold.
Volatility Filter: Rejects signals during low-volatility "compression" zones using ATR.
Institutional Dashboard: A data panel tracking the macro trend status, trend strength (Spread %), and filter conditions.
How to Use
1. The Trend Cloud The visual core of the indicator is the "Cloud" formed between the two Moving Averages.
Green Cloud: The Daily Average is above the Weekly Average. The macro trend is Bullish. Look for long positions.
Red Cloud: The Daily Average is below the Weekly Average. The macro trend is Bearish. Look for short positions.
The Midline: The gray line represents the "Fair Value" price between the two timeframes. It often acts as dynamic support or resistance during a trend.
2. Signal Triangles Discrete shapes appear only when a crossover is confirmed AND all filters are met.
Up Triangle: Confirmed Bullish Crossover (Daily crosses over Weekly) + RSI is not overbought + Volatility is active.
Down Triangle: Confirmed Bearish Crossover (Daily crosses under Weekly) + RSI is not oversold + Volatility is active.
3. The Dashboard Located in the bottom right, this table provides a health check of the current trend:
Macro Trend: Displays BULLISH or BEARISH based on the cloud direction.
Trend Spread %: Measures the distance between the two EMAs. A widening percentage indicates a strengthening trend, while a narrowing percentage suggests momentum loss.
RSI Condition: Displays "SAFE" (good to trade) or "EXTENDED" (too risky).
Volatility: Displays "EXPANSION" (good movement) or "COMPRESSION" (flat market).
4. Timeframe Rules Because this indicator uses Daily and Weekly data, your chart timeframe must be lower than the Fast Trend Timeframe.
Correct: Viewing a 1-Hour chart with 1D/1W settings.
Incorrect: Viewing a Weekly chart with 1D/1W settings (this will trigger an error message on the screen).
Disclaimer: This indicator is provided for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a guarantee of future results.
Multi-Timeframe Supertrend + MACD + MTF Dashboard if you like it click source code and save it in notepad for back up .
The Multi-Timeframe Supertrend Dashboard is a powerful tool designed to give traders a clear view of market trends across multiple timeframes, all from a single dashboard. This indicator leverages the Supertrend method to calculate buy and sell signals based on the direction of price relative to dynamically calculated support and resistance lines. The dashboard is optimized for dark mode and provides easy-to-interpret color-coded signals for each timeframe.
How It Works
The Supertrend indicator is a trend-following indicator that uses the Average True Range (ATR) to set upper and lower bands around the price, adapting dynamically as volatility changes. When the price is above the Supertrend line, the market is considered in an uptrend, triggering a "BUY" signal. Conversely, when the price falls below the Supertrend line, the market is in a downtrend, triggering a "SELL" signal.
This Multi-Timeframe Supertrend Dashboard calculates Supertrend signals for the following timeframes:
1 minute
5 minutes
15 minutes
1 hour
Daily
Weekly
Monthly
For each timeframe, the dashboard shows either a "BUY" or "SELL" signal, allowing traders to assess whether trends align across timeframes. A "BUY" signal displays in green, and a "SELL" signal displays in red, giving a quick visual reference of the overall trend direction for each timeframe.
Customization Options
ATR Period: Defines the period for the Average True Range (ATR) calculation, which determines how responsive the Supertrend lines are to changes in market volatility.
Multiplier: Sets the sensitivity of the Supertrend bands to price movements. Higher values make the bands less sensitive, while lower values increase sensitivity, allowing quicker reactions to changes in price.
How to Interpret the Dashboard
The Multi-Timeframe Supertrend Dashboard allows traders to see at a glance if trends across multiple timeframes are aligned. Here’s how to interpret the signals:
BUY (Green): The current timeframe’s price is in an uptrend based on the Supertrend calculation.
SELL (Red): The current timeframe’s price is in a downtrend based on the Supertrend calculation.
For example:
If all timeframes display "BUY," the asset is in a strong uptrend across multiple time horizons, which may indicate a bullish market.
If all timeframes display "SELL," the asset is likely in a strong downtrend, signaling a bearish market.
Mixed signals across timeframes suggest market consolidation or differing trends across short- and long-term periods.
Use Cases
Trend Confirmation: Use the dashboard to confirm trends across multiple timeframes before entering or exiting a position.
Quick Market Analysis: Get a snapshot of market conditions across timeframes without having to change charts.
Multi-Timeframe Alignment: Identify alignment across timeframes, which is often a strong indicator of market momentum in one direction.
Dark Mode Optimization
The dashboard has been optimized for dark mode, with white text and contrasting background colors to ensure easy readability on darker TradingView themes.
Nov 4, 2024
Release Notes
Multi-Timeframe Supertrend Dashboard with Alerts
Overview
The Multi-Timeframe Supertrend Dashboard with Alerts is a powerful indicator designed to give traders a comprehensive view of market trends across multiple timeframes. This dashboard uses the Supertrend method to calculate buy and sell signals based on the direction of price relative to dynamic support and resistance levels. The indicator is optimized for dark mode and provides a color-coded display of buy and sell signals for each timeframe, along with optional alerts for trend alignment.
How It Works
The Supertrend indicator is a trend-following indicator that uses the Average True Range (ATR) to set upper and lower bands around the price, adjusting dynamically with market volatility. When the price is above the Supertrend line, the market is considered in an uptrend, triggering a "BUY" signal. Conversely, when the price falls below the Supertrend line, the market is in a downtrend, triggering a "SELL" signal.
The Multi-Timeframe Supertrend Dashboard displays Supertrend signals for the following timeframes:
1 minute
5 minutes
15 minutes
1 hour
Daily
Weekly
Monthly
For each timeframe, the dashboard shows either a "BUY" or "SELL" signal, allowing traders to assess trend alignment across multiple timeframes with a single glance. A "BUY" signal displays in green, and a "SELL" signal displays in red.
Alerts for Trend Alignment
This indicator includes built-in alert conditions that allow traders to receive notifications when all timeframes simultaneously align in a "BUY" or "SELL" signal. This is particularly useful for identifying moments of strong trend alignment across short-term and long-term timeframes. The alerts can be set to notify the trader when:
All timeframes display a "BUY" signal, indicating a strong bullish alignment across all time horizons.
All timeframes display a "SELL" signal, signaling a strong bearish alignment.
Customization Options
ATR Period: Defines the period for the Average True Range (ATR) calculation, which determines how responsive the Supertrend lines are to changes in market volatility.
Multiplier: Sets the sensitivity of the Supertrend bands to price movements. Higher values make the bands less sensitive, while lower values increase sensitivity, allowing quicker reactions to changes in price.
How to Interpret the Dashboard
BUY (Green): The price is above the Supertrend line, indicating an uptrend for that timeframe.
SELL (Red): The price is below the Supertrend line, indicating a downtrend for that timeframe.
Examples:
If all timeframes display "BUY," the asset is in a strong uptrend across multiple time horizons, signaling potential buying opportunities.
If all timeframes display "SELL," the asset is likely in a strong downtrend, signaling potential selling opportunities.
Mixed signals suggest a consolidation phase or differing trends across short- and long-term periods.
Use Cases
Trend Confirmation: Use the dashboard to confirm trends across multiple timeframes before entering or exiting a position.
Alert Notifications: Set alerts to receive notifications when all timeframes align in a "BUY" or "SELL" signal.
Quick Market Analysis: Get an instant overview of market conditions without switching between charts.
Multi-Timeframe Alignment: Identify alignment across timeframes, often a strong indicator of market momentum in one direction.
Dark Mode Optimization
The dashboard has been optimized for dark mode, with white text and contrasting background colors to ensure easy readability on darker TradingView themes.
Nov 6, 2024
Release Notes
Multi-Timeframe Supertrend Dashboard with Custom Alerts
Description:
This Multi-Timeframe Supertrend Dashboard indicator provides a powerful tool for traders who want to monitor multiple timeframes simultaneously and receive alerts when all timeframes align on a single trend (either BUY or SELL). The indicator uses the popular Supertrend calculation, with customizable ATR (Average True Range) period and multiplier values to tailor sensitivity to your trading style.
Key Features:
Customizable Timeframes:
Track and display up to six timeframes, fully configurable to meet any trading strategy. The default timeframes include 1 Minute, 5 Minutes, 15 Minutes, 1 Hour, 1 Day, and 1 Week but can be changed to any intervals supported by TradingView.
Selective Display Options:
With a user-friendly display selection, you can choose which timeframes to show on the dashboard. For example, you may choose to view only Timeframe 1 through Timeframe 5 or any combination of the six.
Real-Time Alignment Alerts:
Alerts can be set to trigger when all selected timeframes align on a BUY or SELL signal. This feature enables traders to catch strong trends across timeframes without constant monitoring. Alerts are fully configurable, allowing for sound notifications, email alerts, or even webhook notifications to automated trading systems.
Custom Supertrend Settings:
Adjust the ATR Period and Multiplier values to control the Supertrend's sensitivity. Lower values result in more frequent trend changes, while higher values smooth out the trend and focus on larger market moves.
Intuitive Color-Coded Dashboard:
The dashboard is visually optimized for quick insights:
Green cells indicate a BUY trend.
Red cells indicate a SELL trend.
Background color changes when all selected timeframes align, giving an instant visual cue for strong trends.
How to Use:
Select Timeframes:
Go to the input settings to choose the timeframes you want to monitor. Each timeframe is labeled (e.g., Timeframe 1, Timeframe 2) for easy reference.
Configure Display Preferences:
Enable or disable specific timeframes to customize your dashboard view. This is useful for focusing only on timeframes relevant to your strategy.
Set ATR and Multiplier Values:
Adjust these settings to define the Supertrend calculation's responsiveness. This customization allows adaptation to various markets, including stocks, forex, and cryptocurrencies.
Enable Alerts:
Turn on alerts to receive notifications when all active timeframes align. Customize the alert type and delivery (sound, popup, email, etc.) to ensure you’re notified on time.
Ideal For:
Trend Traders who want confirmation of trends across multiple timeframes.
Scalpers and Day Traders looking for quick trend changes with smaller timeframes.
Swing Traders who want a broader overview of market alignment across hourly and daily frames.
Automated System Developers looking for reliable signals across multiple timeframes to integrate with other strategies.
Naveen Prabhu with EMA//@version=6
indicator('Naveen Prabhu with EMA', overlay = true, max_labels_count = 500, max_lines_count = 500, max_boxes_count = 500)
a = input(2, title = 'Key Vaule. \'This changes the sensitivity\'')
c = input(5, title = 'ATR Period')
h = input(false, title = 'Signals from Heikin Ashi Candles')
BULLISH_LEG = 1
BEARISH_LEG = 0
BULLISH = +1
BEARISH = -1
GREEN = #089981
RED = #F23645
BLUE = #2157f3
GRAY = #878b94
MONO_BULLISH = #b2b5be
MONO_BEARISH = #5d606b
HISTORICAL = 'Historical'
PRESENT = 'Present'
COLORED = 'Colored'
MONOCHROME = 'Monochrome'
ALL = 'All'
BOS = 'BOS'
CHOCH = 'CHoCH'
TINY = size.tiny
SMALL = size.small
NORMAL = size.normal
ATR = 'Atr'
RANGE = 'Cumulative Mean Range'
CLOSE = 'Close'
HIGHLOW = 'High/Low'
SOLID = '⎯⎯⎯'
DASHED = '----'
DOTTED = '····'
SMART_GROUP = 'Smart Money Concepts'
INTERNAL_GROUP = 'Real Time Internal Structure'
SWING_GROUP = 'Real Time Swing Structure'
BLOCKS_GROUP = 'Order Blocks'
EQUAL_GROUP = 'EQH/EQL'
GAPS_GROUP = 'Fair Value Gaps'
LEVELS_GROUP = 'Highs & Lows MTF'
ZONES_GROUP = 'Premium & Discount Zones'
modeTooltip = 'Allows to display historical Structure or only the recent ones'
styleTooltip = 'Indicator color theme'
showTrendTooltip = 'Display additional candles with a color reflecting the current trend detected by structure'
showInternalsTooltip = 'Display internal market structure'
internalFilterConfluenceTooltip = 'Filter non significant internal structure breakouts'
showStructureTooltip = 'Display swing market Structure'
showSwingsTooltip = 'Display swing point as labels on the chart'
showHighLowSwingsTooltip = 'Highlight most recent strong and weak high/low points on the chart'
showInternalOrderBlocksTooltip = 'Display internal order blocks on the chart\n\nNumber of internal order blocks to display on the chart'
showSwingOrderBlocksTooltip = 'Display swing order blocks on the chart\n\nNumber of internal swing blocks to display on the chart'
orderBlockFilterTooltip = 'Method used to filter out volatile order blocks \n\nIt is recommended to use the cumulative mean range method when a low amount of data is available'
orderBlockMitigationTooltip = 'Select what values to use for order block mitigation'
showEqualHighsLowsTooltip = 'Display equal highs and equal lows on the chart'
equalHighsLowsLengthTooltip = 'Number of bars used to confirm equal highs and equal lows'
equalHighsLowsThresholdTooltip = 'Sensitivity threshold in a range (0, 1) used for the detection of equal highs & lows\n\nLower values will return fewer but more pertinent results'
showFairValueGapsTooltip = 'Display fair values gaps on the chart'
fairValueGapsThresholdTooltip = 'Filter out non significant fair value gaps'
fairValueGapsTimeframeTooltip = 'Fair value gaps timeframe'
fairValueGapsExtendTooltip = 'Determine how many bars to extend the Fair Value Gap boxes on chart'
showPremiumDiscountZonesTooltip = 'Display premium, discount, and equilibrium zones on chart'
modeInput = input.string( HISTORICAL, 'Mode', group = SMART_GROUP, tooltip = modeTooltip, options = )
styleInput = input.string( COLORED, 'Style', group = SMART_GROUP, tooltip = styleTooltip,options = )
showTrendInput = input( false, 'Color Candles', group = SMART_GROUP, tooltip = showTrendTooltip)
showInternalsInput = input( false, 'Show Internal Structure', group = INTERNAL_GROUP, tooltip = showInternalsTooltip)
showInternalBullInput = input.string( ALL, 'Bullish Structure', group = INTERNAL_GROUP, inline = 'ibull', options = )
internalBullColorInput = input( GREEN, '', group = INTERNAL_GROUP, inline = 'ibull')
showInternalBearInput = input.string( ALL, 'Bearish Structure' , group = INTERNAL_GROUP, inline = 'ibear', options = )
internalBearColorInput = input( RED, '', group = INTERNAL_GROUP, inline = 'ibear')
internalFilterConfluenceInput = input( false, 'Confluence Filter', group = INTERNAL_GROUP, tooltip = internalFilterConfluenceTooltip)
internalStructureSize = input.string( TINY, 'Internal Label Size', group = INTERNAL_GROUP, options = )
showStructureInput = input( false, 'Show Swing Structure', group = SWING_GROUP, tooltip = showStructureTooltip)
showSwingBullInput = input.string( ALL, 'Bullish Structure', group = SWING_GROUP, inline = 'bull', options = )
swingBullColorInput = input( GREEN, '', group = SWING_GROUP, inline = 'bull')
showSwingBearInput = input.string( ALL, 'Bearish Structure', group = SWING_GROUP, inline = 'bear', options = )
swingBearColorInput = input( RED, '', group = SWING_GROUP, inline = 'bear')
swingStructureSize = input.string( SMALL, 'Swing Label Size', group = SWING_GROUP, options = )
showSwingsInput = input( false, 'Show Swings Points', group = SWING_GROUP, tooltip = showSwingsTooltip,inline = 'swings')
swingsLengthInput = input.int( 50, '', group = SWING_GROUP, minval = 10, inline = 'swings')
showHighLowSwingsInput = input( false, 'Show Strong/Weak High/Low',group = SWING_GROUP, tooltip = showHighLowSwingsTooltip)
showInternalOrderBlocksInput = input( true, 'Internal Order Blocks' , group = BLOCKS_GROUP, tooltip = showInternalOrderBlocksTooltip, inline = 'iob')
internalOrderBlocksSizeInput = input.int( 5, '', group = BLOCKS_GROUP, minval = 1, maxval = 20, inline = 'iob')
showSwingOrderBlocksInput = input( true, 'Swing Order Blocks', group = BLOCKS_GROUP, tooltip = showSwingOrderBlocksTooltip, inline = 'ob')
swingOrderBlocksSizeInput = input.int( 5, '', group = BLOCKS_GROUP, minval = 1, maxval = 20, inline = 'ob')
orderBlockFilterInput = input.string( 'Atr', 'Order Block Filter', group = BLOCKS_GROUP, tooltip = orderBlockFilterTooltip, options = )
orderBlockMitigationInput = input.string( HIGHLOW, 'Order Block Mitigation', group = BLOCKS_GROUP, tooltip = orderBlockMitigationTooltip, options = )
internalBullishOrderBlockColor = input.color(color.new(GREEN, 80), 'Internal Bullish OB', group = BLOCKS_GROUP)
internalBearishOrderBlockColor = input.color(color.new(#f77c80, 80), 'Internal Bearish OB', group = BLOCKS_GROUP)
swingBullishOrderBlockColor = input.color(color.new(GREEN, 80), 'Bullish OB', group = BLOCKS_GROUP)
swingBearishOrderBlockColor = input.color(color.new(#b22833, 80), 'Bearish OB', group = BLOCKS_GROUP)
showEqualHighsLowsInput = input( false, 'Equal High/Low', group = EQUAL_GROUP, tooltip = showEqualHighsLowsTooltip)
equalHighsLowsLengthInput = input.int( 3, 'Bars Confirmation', group = EQUAL_GROUP, tooltip = equalHighsLowsLengthTooltip, minval = 1)
equalHighsLowsThresholdInput = input.float( 0.1, 'Threshold', group = EQUAL_GROUP, tooltip = equalHighsLowsThresholdTooltip, minval = 0, maxval = 0.5, step = 0.1)
equalHighsLowsSizeInput = input.string( TINY, 'Label Size', group = EQUAL_GROUP, options = )
showFairValueGapsInput = input( false, 'Fair Value Gaps', group = GAPS_GROUP, tooltip = showFairValueGapsTooltip)
fairValueGapsThresholdInput = input( true, 'Auto Threshold', group = GAPS_GROUP, tooltip = fairValueGapsThresholdTooltip)
fairValueGapsTimeframeInput = input.timeframe('', 'Timeframe', group = GAPS_GROUP, tooltip = fairValueGapsTimeframeTooltip)
fairValueGapsBullColorInput = input.color(color.new(#00ff68, 70), 'Bullish FVG' , group = GAPS_GROUP)
fairValueGapsBearColorInput = input.color(color.new(#ff0008, 70), 'Bearish FVG' , group = GAPS_GROUP)
fairValueGapsExtendInput = input.int( 1, 'Extend FVG', group = GAPS_GROUP, tooltip = fairValueGapsExtendTooltip, minval = 0)
showDailyLevelsInput = input( false, 'Daily', group = LEVELS_GROUP, inline = 'daily')
dailyLevelsStyleInput = input.string( SOLID, '', group = LEVELS_GROUP, inline = 'daily', options = )
dailyLevelsColorInput = input( BLUE, '', group = LEVELS_GROUP, inline = 'daily')
showWeeklyLevelsInput = input( false, 'Weekly', group = LEVELS_GROUP, inline = 'weekly')
weeklyLevelsStyleInput = input.string( SOLID, '', group = LEVELS_GROUP, inline = 'weekly', options = )
weeklyLevelsColorInput = input( BLUE, '', group = LEVELS_GROUP, inline = 'weekly')
showMonthlyLevelsInput = input( false, 'Monthly', group = LEVELS_GROUP, inline = 'monthly')
monthlyLevelsStyleInput = input.string( SOLID, '', group = LEVELS_GROUP, inline = 'monthly', options = )
monthlyLevelsColorInput = input( BLUE, '', group = LEVELS_GROUP, inline = 'monthly')
showPremiumDiscountZonesInput = input( false, 'Premium/Discount Zones', group = ZONES_GROUP , tooltip = showPremiumDiscountZonesTooltip)
premiumZoneColorInput = input.color( RED, 'Premium Zone', group = ZONES_GROUP)
equilibriumZoneColorInput = input.color( GRAY, 'Equilibrium Zone', group = ZONES_GROUP)
discountZoneColorInput = input.color( GREEN, 'Discount Zone', group = ZONES_GROUP)
type alerts
bool internalBullishBOS = false
bool internalBearishBOS = false
bool internalBullishCHoCH = false
bool internalBearishCHoCH = false
bool swingBullishBOS = false
bool swingBearishBOS = false
bool swingBullishCHoCH = false
bool swingBearishCHoCH = false
bool internalBullishOrderBlock = false
bool internalBearishOrderBlock = false
bool swingBullishOrderBlock = false
bool swingBearishOrderBlock = false
bool equalHighs = false
bool equalLows = false
bool bullishFairValueGap = false
bool bearishFairValueGap = false
type trailingExtremes
float top
float bottom
int barTime
int barIndex
int lastTopTime
int lastBottomTime
type fairValueGap
float top
float bottom
int bias
box topBox
box bottomBox
type trend
int bias
type equalDisplay
line l_ine = na
label l_abel = na
type pivot
float currentLevel
float lastLevel
bool crossed
int barTime = time
int barIndex = bar_index
type orderBlock
float barHigh
float barLow
int barTime
int bias
// @variable current swing pivot high
var pivot swingHigh = pivot.new(na,na,false)
// @variable current swing pivot low
var pivot swingLow = pivot.new(na,na,false)
// @variable current internal pivot high
var pivot internalHigh = pivot.new(na,na,false)
// @variable current internal pivot low
var pivot internalLow = pivot.new(na,na,false)
// @variable current equal high pivot
var pivot equalHigh = pivot.new(na,na,false)
// @variable current equal low pivot
var pivot equalLow = pivot.new(na,na,false)
// @variable swing trend bias
var trend swingTrend = trend.new(0)
// @variable internal trend bias
var trend internalTrend = trend.new(0)
// @variable equal high display
var equalDisplay equalHighDisplay = equalDisplay.new()
// @variable equal low display
var equalDisplay equalLowDisplay = equalDisplay.new()
// @variable storage for fairValueGap UDTs
var array fairValueGaps = array.new()
// @variable storage for parsed highs
var array parsedHighs = array.new()
// @variable storage for parsed lows
var array parsedLows = array.new()
// @variable storage for raw highs
var array highs = array.new()
// @variable storage for raw lows
var array lows = array.new()
// @variable storage for bar time values
var array times = array.new()
// @variable last trailing swing high and low
var trailingExtremes trailing = trailingExtremes.new()
// @variable storage for orderBlock UDTs (swing order blocks)
var array swingOrderBlocks = array.new()
// @variable storage for orderBlock UDTs (internal order blocks)
var array internalOrderBlocks = array.new()
// @variable storage for swing order blocks boxes
var array swingOrderBlocksBoxes = array.new()
// @variable storage for internal order blocks boxes
var array internalOrderBlocksBoxes = array.new()
// @variable color for swing bullish structures
var swingBullishColor = styleInput == MONOCHROME ? MONO_BULLISH : swingBullColorInput
// @variable color for swing bearish structures
var swingBearishColor = styleInput == MONOCHROME ? MONO_BEARISH : swingBearColorInput
// @variable color for bullish fair value gaps
var fairValueGapBullishColor = styleInput == MONOCHROME ? color.new(MONO_BULLISH,70) : fairValueGapsBullColorInput
// @variable color for bearish fair value gaps
var fairValueGapBearishColor = styleInput == MONOCHROME ? color.new(MONO_BEARISH,70) : fairValueGapsBearColorInput
// @variable color for premium zone
var premiumZoneColor = styleInput == MONOCHROME ? MONO_BEARISH : premiumZoneColorInput
// @variable color for discount zone
var discountZoneColor = styleInput == MONOCHROME ? MONO_BULLISH : discountZoneColorInput
// @variable bar index on current script iteration
varip int currentBarIndex = bar_index
// @variable bar index on last script iteration
varip int lastBarIndex = bar_index
// @variable alerts in current bar
alerts currentAlerts = alerts.new()
// @variable time at start of chart
var initialTime = time
// we create the needed boxes for displaying order blocks at the first execution
if barstate.isfirst
if showSwingOrderBlocksInput
for index = 1 to swingOrderBlocksSizeInput
swingOrderBlocksBoxes.push(box.new(na,na,na,na,xloc = xloc.bar_time,extend = extend.right))
if showInternalOrderBlocksInput
for index = 1 to internalOrderBlocksSizeInput
internalOrderBlocksBoxes.push(box.new(na,na,na,na,xloc = xloc.bar_time,extend = extend.right))
// @variable source to use in bearish order blocks mitigation
bearishOrderBlockMitigationSource = orderBlockMitigationInput == CLOSE ? close : high
// @variable source to use in bullish order blocks mitigation
bullishOrderBlockMitigationSource = orderBlockMitigationInput == CLOSE ? close : low
// @variable default volatility measure
atrMeasure = ta.atr(200)
// @variable parsed volatility measure by user settings
volatilityMeasure = orderBlockFilterInput == ATR ? atrMeasure : ta.cum(ta.tr)/bar_index
// @variable true if current bar is a high volatility bar
highVolatilityBar = (high - low) >= (2 * volatilityMeasure)
// @variable parsed high
parsedHigh = highVolatilityBar ? low : high
// @variable parsed low
parsedLow = highVolatilityBar ? high : low
// we store current values into the arrays at each bar
parsedHighs.push(parsedHigh)
parsedLows.push(parsedLow)
highs.push(high)
lows.push(low)
times.push(time)
leg(int size) =>
var leg = 0
newLegHigh = high > ta.highest( size)
newLegLow = low < ta.lowest( size)
if newLegHigh
leg := BEARISH_LEG
else if newLegLow
leg := BULLISH_LEG
leg
startOfNewLeg(int leg) => ta.change(leg) != 0
startOfBearishLeg(int leg) => ta.change(leg) == -1
startOfBullishLeg(int leg) => ta.change(leg) == +1
drawLabel(int labelTime, float labelPrice, string tag, color labelColor, string labelStyle) =>
var label l_abel = na
if modeInput == PRESENT
l_abel.delete()
l_abel := label.new(chart.point.new(labelTime,na,labelPrice),tag,xloc.bar_time,color=color(na),textcolor=labelColor,style = labelStyle,size = size.small)
drawEqualHighLow(pivot p_ivot, float level, int size, bool equalHigh) =>
equalDisplay e_qualDisplay = equalHigh ? equalHighDisplay : equalLowDisplay
string tag = 'EQL'
color equalColor = swingBullishColor
string labelStyle = label.style_label_up
if equalHigh
tag := 'EQH'
equalColor := swingBearishColor
labelStyle := label.style_label_down
if modeInput == PRESENT
line.delete( e_qualDisplay.l_ine)
label.delete( e_qualDisplay.l_abel)
e_qualDisplay.l_ine := line.new(chart.point.new(p_ivot.barTime,na,p_ivot.currentLevel), chart.point.new(time ,na,level), xloc = xloc.bar_time, color = equalColor, style = line.style_dotted)
labelPosition = math.round(0.5*(p_ivot.barIndex + bar_index - size))
e_qualDisplay.l_abel := label.new(chart.point.new(na,labelPosition,level), tag, xloc.bar_index, color = color(na), textcolor = equalColor, style = labelStyle, size = equalHighsLowsSizeInput)
getCurrentStructure(int size,bool equalHighLow = false, bool internal = false) =>
currentLeg = leg(size)
newPivot = startOfNewLeg(currentLeg)
pivotLow = startOfBullishLeg(currentLeg)
pivotHigh = startOfBearishLeg(currentLeg)
if newPivot
if pivotLow
pivot p_ivot = equalHighLow ? equalLow : internal ? internalLow : swingLow
if equalHighLow and math.abs(p_ivot.currentLevel - low ) < equalHighsLowsThresholdInput * atrMeasure
drawEqualHighLow(p_ivot, low , size, false)
p_ivot.lastLevel := p_ivot.currentLevel
p_ivot.currentLevel := low
p_ivot.crossed := false
p_ivot.barTime := time
p_ivot.barIndex := bar_index
if not equalHighLow and not internal
trailing.bottom := p_ivot.currentLevel
trailing.barTime := p_ivot.barTime
trailing.barIndex := p_ivot.barIndex
trailing.lastBottomTime := p_ivot.barTime
if showSwingsInput and not internal and not equalHighLow
drawLabel(time , p_ivot.currentLevel, p_ivot.currentLevel < p_ivot.lastLevel ? 'LL' : 'HL', swingBullishColor, label.style_label_up)
else
pivot p_ivot = equalHighLow ? equalHigh : internal ? internalHigh : swingHigh
if equalHighLow and math.abs(p_ivot.currentLevel - high ) < equalHighsLowsThresholdInput * atrMeasure
drawEqualHighLow(p_ivot,high ,size,true)
p_ivot.lastLevel := p_ivot.currentLevel
p_ivot.currentLevel := high
p_ivot.crossed := false
p_ivot.barTime := time
p_ivot.barIndex := bar_index
if not equalHighLow and not internal
trailing.top := p_ivot.currentLevel
trailing.barTime := p_ivot.barTime
trailing.barIndex := p_ivot.barIndex
trailing.lastTopTime := p_ivot.barTime
if showSwingsInput and not internal and not equalHighLow
drawLabel(time , p_ivot.currentLevel, p_ivot.currentLevel > p_ivot.lastLevel ? 'HH' : 'LH', swingBearishColor, label.style_label_down)
drawStructure(pivot p_ivot, string tag, color structureColor, string lineStyle, string labelStyle, string labelSize) =>
var line l_ine = line.new(na,na,na,na,xloc = xloc.bar_time)
var label l_abel = label.new(na,na)
if modeInput == PRESENT
l_ine.delete()
l_abel.delete()
l_ine := line.new(chart.point.new(p_ivot.barTime,na,p_ivot.currentLevel), chart.point.new(time,na,p_ivot.currentLevel), xloc.bar_time, color=structureColor, style=lineStyle)
l_abel := label.new(chart.point.new(na,math.round(0.5*(p_ivot.barIndex+bar_index)),p_ivot.currentLevel), tag, xloc.bar_index, color=color(na), textcolor=structureColor, style=labelStyle, size = labelSize)
deleteOrderBlocks(bool internal = false) =>
array orderBlocks = internal ? internalOrderBlocks : swingOrderBlocks
for in orderBlocks
bool crossedOderBlock = false
if bearishOrderBlockMitigationSource > eachOrderBlock.barHigh and eachOrderBlock.bias == BEARISH
crossedOderBlock := true
if internal
currentAlerts.internalBearishOrderBlock := true
else
currentAlerts.swingBearishOrderBlock := true
else if bullishOrderBlockMitigationSource < eachOrderBlock.barLow and eachOrderBlock.bias == BULLISH
crossedOderBlock := true
if internal
currentAlerts.internalBullishOrderBlock := true
else
currentAlerts.swingBullishOrderBlock := true
if crossedOderBlock
orderBlocks.remove(index)
storeOrdeBlock(pivot p_ivot,bool internal = false,int bias) =>
if (not internal and showSwingOrderBlocksInput) or (internal and showInternalOrderBlocksInput)
array a_rray = na
int parsedIndex = na
if bias == BEARISH
a_rray := parsedHighs.slice(p_ivot.barIndex,bar_index)
parsedIndex := p_ivot.barIndex + a_rray.indexof(a_rray.max())
else
a_rray := parsedLows.slice(p_ivot.barIndex,bar_index)
parsedIndex := p_ivot.barIndex + a_rray.indexof(a_rray.min())
orderBlock o_rderBlock = orderBlock.new(parsedHighs.get(parsedIndex), parsedLows.get(parsedIndex), times.get(parsedIndex),bias)
array orderBlocks = internal ? internalOrderBlocks : swingOrderBlocks
if orderBlocks.size() >= 100
orderBlocks.pop()
orderBlocks.unshift(o_rderBlock)
drawOrderBlocks(bool internal = false) =>
array orderBlocks = internal ? internalOrderBlocks : swingOrderBlocks
orderBlocksSize = orderBlocks.size()
if orderBlocksSize > 0
maxOrderBlocks = internal ? internalOrderBlocksSizeInput : swingOrderBlocksSizeInput
array parsedOrdeBlocks = orderBlocks.slice(0, math.min(maxOrderBlocks,orderBlocksSize))
array b_oxes = internal ? internalOrderBlocksBoxes : swingOrderBlocksBoxes
for in parsedOrdeBlocks
orderBlockColor = styleInput == MONOCHROME ? (eachOrderBlock.bias == BEARISH ? color.new(MONO_BEARISH,80) : color.new(MONO_BULLISH,80)) : internal ? (eachOrderBlock.bias == BEARISH ? internalBearishOrderBlockColor : internalBullishOrderBlockColor) : (eachOrderBlock.bias == BEARISH ? swingBearishOrderBlockColor : swingBullishOrderBlockColor)
box b_ox = b_oxes.get(index)
b_ox.set_top_left_point( chart.point.new(eachOrderBlock.barTime,na,eachOrderBlock.barHigh))
b_ox.set_bottom_right_point(chart.point.new(last_bar_time,na,eachOrderBlock.barLow))
b_ox.set_border_color( internal ? na : orderBlockColor)
b_ox.set_bgcolor( orderBlockColor)
displayStructure(bool internal = false) =>
var bullishBar = true
var bearishBar = true
if internalFilterConfluenceInput
bullishBar := high - math.max(close, open) > math.min(close, open - low)
bearishBar := high - math.max(close, open) < math.min(close, open - low)
pivot p_ivot = internal ? internalHigh : swingHigh
trend t_rend = internal ? internalTrend : swingTrend
lineStyle = internal ? line.style_dashed : line.style_solid
labelSize = internal ? internalStructureSize : swingStructureSize
extraCondition = internal ? internalHigh.currentLevel != swingHigh.currentLevel and bullishBar : true
bullishColor = styleInput == MONOCHROME ? MONO_BULLISH : internal ? internalBullColorInput : swingBullColorInput
if ta.crossover(close,p_ivot.currentLevel) and not p_ivot.crossed and extraCondition
string tag = t_rend.bias == BEARISH ? CHOCH : BOS
if internal
currentAlerts.internalBullishCHoCH := tag == CHOCH
currentAlerts.internalBullishBOS := tag == BOS
else
currentAlerts.swingBullishCHoCH := tag == CHOCH
currentAlerts.swingBullishBOS := tag == BOS
p_ivot.crossed := true
t_rend.bias := BULLISH
displayCondition = internal ? showInternalsInput and (showInternalBullInput == ALL or (showInternalBullInput == BOS and tag != CHOCH) or (showInternalBullInput == CHOCH and tag == CHOCH)) : showStructureInput and (showSwingBullInput == ALL or (showSwingBullInput == BOS and tag != CHOCH) or (showSwingBullInput == CHOCH and tag == CHOCH))
if displayCondition
drawStructure(p_ivot,tag,bullishColor,lineStyle,label.style_label_down,labelSize)
if (internal and showInternalOrderBlocksInput) or (not internal and showSwingOrderBlocksInput)
storeOrdeBlock(p_ivot,internal,BULLISH)
p_ivot := internal ? internalLow : swingLow
extraCondition := internal ? internalLow.currentLevel != swingLow.currentLevel and bearishBar : true
bearishColor = styleInput == MONOCHROME ? MONO_BEARISH : internal ? internalBearColorInput : swingBearColorInput
if ta.crossunder(close,p_ivot.currentLevel) and not p_ivot.crossed and extraCondition
string tag = t_rend.bias == BULLISH ? CHOCH : BOS
if internal
currentAlerts.internalBearishCHoCH := tag == CHOCH
currentAlerts.internalBearishBOS := tag == BOS
else
currentAlerts.swingBearishCHoCH := tag == CHOCH
currentAlerts.swingBearishBOS := tag == BOS
p_ivot.crossed := true
t_rend.bias := BEARISH
displayCondition = internal ? showInternalsInput and (showInternalBearInput == ALL or (showInternalBearInput == BOS and tag != CHOCH) or (showInternalBearInput == CHOCH and tag == CHOCH)) : showStructureInput and (showSwingBearInput == ALL or (showSwingBearInput == BOS and tag != CHOCH) or (showSwingBearInput == CHOCH and tag == CHOCH))
if displayCondition
drawStructure(p_ivot,tag,bearishColor,lineStyle,label.style_label_up,labelSize)
if (internal and showInternalOrderBlocksInput) or (not internal and showSwingOrderBlocksInput)
storeOrdeBlock(p_ivot,internal,BEARISH)
fairValueGapBox(leftTime,rightTime,topPrice,bottomPrice,boxColor) => box.new(chart.point.new(leftTime,na,topPrice),chart.point.new(rightTime + fairValueGapsExtendInput * (time-time ),na,bottomPrice), xloc=xloc.bar_time, border_color = boxColor, bgcolor = boxColor)
deleteFairValueGaps() =>
for in fairValueGaps
if (low < eachFairValueGap.bottom and eachFairValueGap.bias == BULLISH) or (high > eachFairValueGap.top and eachFairValueGap.bias == BEARISH)
eachFairValueGap.topBox.delete()
eachFairValueGap.bottomBox.delete()
fairValueGaps.remove(index)
// @function draw fair value gaps
// @returns fairValueGap ID
drawFairValueGaps() =>
= request.security(syminfo.tickerid, fairValueGapsTimeframeInput, [close , open , time , high , low , time , high , low ],lookahead = barmerge.lookahead_on)
barDeltaPercent = (lastClose - lastOpen) / (lastOpen * 100)
newTimeframe = timeframe.change(fairValueGapsTimeframeInput)
threshold = fairValueGapsThresholdInput ? ta.cum(math.abs(newTimeframe ? barDeltaPercent : 0)) / bar_index * 2 : 0
bullishFairValueGap = currentLow > last2High and lastClose > last2High and barDeltaPercent > threshold and newTimeframe
bearishFairValueGap = currentHigh < last2Low and lastClose < last2Low and -barDeltaPercent > threshold and newTimeframe
if bullishFairValueGap
currentAlerts.bullishFairValueGap := true
fairValueGaps.unshift(fairValueGap.new(currentLow,last2High,BULLISH,fairValueGapBox(lastTime,currentTime,currentLow,math.avg(currentLow,last2High),fairValueGapBullishColor),fairValueGapBox(lastTime,currentTime,math.avg(currentLow,last2High),last2High,fairValueGapBullishColor)))
if bearishFairValueGap
currentAlerts.bearishFairValueGap := true
fairValueGaps.unshift(fairValueGap.new(currentHigh,last2Low,BEARISH,fairValueGapBox(lastTime,currentTime,currentHigh,math.avg(currentHigh,last2Low),fairValueGapBearishColor),fairValueGapBox(lastTime,currentTime,math.avg(currentHigh,last2Low),last2Low,fairValueGapBearishColor)))
getStyle(string style) =>
switch style
SOLID => line.style_solid
DASHED => line.style_dashed
DOTTED => line.style_dotted
drawLevels(string timeframe, bool sameTimeframe, string style, color levelColor) =>
= request.security(syminfo.tickerid, timeframe, [high , low , time , time],lookahead = barmerge.lookahead_on)
float parsedTop = sameTimeframe ? high : topLevel
float parsedBottom = sameTimeframe ? low : bottomLevel
int parsedLeftTime = sameTimeframe ? time : leftTime
int parsedRightTime = sameTimeframe ? time : rightTime
int parsedTopTime = time
int parsedBottomTime = time
if not sameTimeframe
int leftIndex = times.binary_search_rightmost(parsedLeftTime)
int rightIndex = times.binary_search_rightmost(parsedRightTime)
array timeArray = times.slice(leftIndex,rightIndex)
array topArray = highs.slice(leftIndex,rightIndex)
array bottomArray = lows.slice(leftIndex,rightIndex)
parsedTopTime := timeArray.size() > 0 ? timeArray.get(topArray.indexof(topArray.max())) : initialTime
parsedBottomTime := timeArray.size() > 0 ? timeArray.get(bottomArray.indexof(bottomArray.min())) : initialTime
var line topLine = line.new(na, na, na, na, xloc = xloc.bar_time, color = levelColor, style = getStyle(style))
var line bottomLine = line.new(na, na, na, na, xloc = xloc.bar_time, color = levelColor, style = getStyle(style))
var label topLabel = label.new(na, na, xloc = xloc.bar_time, text = str.format('P{0}H',timeframe), color=color(na), textcolor = levelColor, size = size.small, style = label.style_label_left)
var label bottomLabel = label.new(na, na, xloc = xloc.bar_time, text = str.format('P{0}L',timeframe), color=color(na), textcolor = levelColor, size = size.small, style = label.style_label_left)
topLine.set_first_point( chart.point.new(parsedTopTime,na,parsedTop))
topLine.set_second_point( chart.point.new(last_bar_time + 20 * (time-time ),na,parsedTop))
topLabel.set_point( chart.point.new(last_bar_time + 20 * (time-time ),na,parsedTop))
bottomLine.set_first_point( chart.point.new(parsedBottomTime,na,parsedBottom))
bottomLine.set_second_point(chart.point.new(last_bar_time + 20 * (time-time ),na,parsedBottom))
bottomLabel.set_point( chart.point.new(last_bar_time + 20 * (time-time ),na,parsedBottom))
higherTimeframe(string timeframe) => timeframe.in_seconds() > timeframe.in_seconds(timeframe)
updateTrailingExtremes() =>
trailing.top := math.max(high,trailing.top)
trailing.lastTopTime := trailing.top == high ? time : trailing.lastTopTime
trailing.bottom := math.min(low,trailing.bottom)
trailing.lastBottomTime := trailing.bottom == low ? time : trailing.lastBottomTime
drawHighLowSwings() =>
var line topLine = line.new(na, na, na, na, color = swingBearishColor, xloc = xloc.bar_time)
var line bottomLine = line.new(na, na, na, na, color = swingBullishColor, xloc = xloc.bar_time)
var label topLabel = label.new(na, na, color=color(na), textcolor = swingBearishColor, xloc = xloc.bar_time, style = label.style_label_down, size = size.tiny)
var label bottomLabel = label.new(na, na, color=color(na), textcolor = swingBullishColor, xloc = xloc.bar_time, style = label.style_label_up, size = size.tiny)
rightTimeBar = last_bar_time + 20 * (time - time )
topLine.set_first_point( chart.point.new(trailing.lastTopTime, na, trailing.top))
topLine.set_second_point( chart.point.new(rightTimeBar, na, trailing.top))
topLabel.set_point( chart.point.new(rightTimeBar, na, trailing.top))
topLabel.set_text( swingTrend.bias == BEARISH ? 'Strong High' : 'Weak High')
bottomLine.set_first_point( chart.point.new(trailing.lastBottomTime, na, trailing.bottom))
bottomLine.set_second_point(chart.point.new(rightTimeBar, na, trailing.bottom))
bottomLabel.set_point( chart.point.new(rightTimeBar, na, trailing.bottom))
bottomLabel.set_text( swingTrend.bias == BULLISH ? 'Strong Low' : 'Weak Low')
drawZone(float labelLevel, int labelIndex, float top, float bottom, string tag, color zoneColor, string style) =>
var label l_abel = label.new(na,na,text = tag, color=color(na),textcolor = zoneColor, style = style, size = size.small)
var box b_ox = box.new(na,na,na,na,bgcolor = color.new(zoneColor,80),border_color = color(na), xloc = xloc.bar_time)
b_ox.set_top_left_point( chart.point.new(trailing.barTime,na,top))
b_ox.set_bottom_right_point(chart.point.new(last_bar_time,na,bottom))
l_abel.set_point( chart.point.new(na,labelIndex,labelLevel))
// @function draw premium/discount zones
// @returns void
drawPremiumDiscountZones() =>
drawZone(trailing.top, math.round(0.5*(trailing.barIndex + last_bar_index)), trailing.top, 0.95*trailing.top + 0.05*trailing.bottom, 'Premium', premiumZoneColor, label.style_label_down)
equilibriumLevel = math.avg(trailing.top, trailing.bottom)
drawZone(equilibriumLevel, last_bar_index, 0.525*trailing.top + 0.475*trailing.bottom, 0.525*trailing.bottom + 0.475*trailing.top, 'Equilibrium', equilibriumZoneColorInput, label.style_label_left)
drawZone(trailing.bottom, math.round(0.5*(trailing.barIndex + last_bar_index)), 0.95*trailing.bottom + 0.05*trailing.top, trailing.bottom, 'Discount', discountZoneColor, label.style_label_up)
parsedOpen = showTrendInput ? open : na
candleColor = internalTrend.bias == BULLISH ? swingBullishColor : swingBearishColor
plotcandle(parsedOpen,high,low,close,color = candleColor, wickcolor = candleColor, bordercolor = candleColor)
if showHighLowSwingsInput or showPremiumDiscountZonesInput
updateTrailingExtremes()
if showHighLowSwingsInput
drawHighLowSwings()
if showPremiumDiscountZonesInput
drawPremiumDiscountZones()
if showFairValueGapsInput
deleteFairValueGaps()
getCurrentStructure(swingsLengthInput,false)
getCurrentStructure(5,false,true)
if showEqualHighsLowsInput
getCurrentStructure(equalHighsLowsLengthInput,true)
if showInternalsInput or showInternalOrderBlocksInput or showTrendInput
displayStructure(true)
if showStructureInput or showSwingOrderBlocksInput or showHighLowSwingsInput
displayStructure()
if showInternalOrderBlocksInput
deleteOrderBlocks(true)
if showSwingOrderBlocksInput
deleteOrderBlocks()
if showFairValueGapsInput
drawFairValueGaps()
if barstate.islastconfirmedhistory or barstate.islast
if showInternalOrderBlocksInput
drawOrderBlocks(true)
if showSwingOrderBlocksInput
drawOrderBlocks()
lastBarIndex := currentBarIndex
currentBarIndex := bar_index
newBar = currentBarIndex != lastBarIndex
if barstate.islastconfirmedhistory or (barstate.isrealtime and newBar)
if showDailyLevelsInput and not higherTimeframe('D')
drawLevels('D',timeframe.isdaily,dailyLevelsStyleInput,dailyLevelsColorInput)
if showWeeklyLevelsInput and not higherTimeframe('W')
drawLevels('W',timeframe.isweekly,weeklyLevelsStyleInput,weeklyLevelsColorInput)
if showMonthlyLevelsInput and not higherTimeframe('M')
drawLevels('M',timeframe.ismonthly,monthlyLevelsStyleInput,monthlyLevelsColorInput)
xATR = ta.atr(c)
nLoss = a * xATR
src = h ? request.security(ticker.heikinashi(syminfo.tickerid), timeframe.period, close, lookahead = barmerge.lookahead_off) : close
xATRTrailingStop = 0.0
iff_1 = src > nz(xATRTrailingStop , 0) ? src - nLoss : src + nLoss
iff_2 = src < nz(xATRTrailingStop , 0) and src < nz(xATRTrailingStop , 0) ? math.min(nz(xATRTrailingStop ), src + nLoss) : iff_1
xATRTrailingStop := src > nz(xATRTrailingStop , 0) and src > nz(xATRTrailingStop , 0) ? math.max(nz(xATRTrailingStop ), src - nLoss) : iff_2
pos = 0
iff_3 = src > nz(xATRTrailingStop , 0) and src < nz(xATRTrailingStop , 0) ? -1 : nz(pos , 0)
pos := src < nz(xATRTrailingStop , 0) and src > nz(xATRTrailingStop , 0) ? 1 : iff_3
xcolor = pos == -1 ? color.red : pos == 1 ? color.green : color.blue
ema = ta.ema(src, 1)
above = ta.crossover(ema, xATRTrailingStop)
below = ta.crossover(xATRTrailingStop, ema)
buy = src > xATRTrailingStop and above
sell = src < xATRTrailingStop and below
barbuy = src > xATRTrailingStop
barsell = src < xATRTrailingStop
//---------------------------------------------------------------------------------------------------------------------}
//ALERTS
//---------------------------------------------------------------------------------------------------------------------{
alertcondition(currentAlerts.internalBullishBOS, 'Internal Bullish BOS', 'Internal Bullish BOS formed')
alertcondition(currentAlerts.internalBullishCHoCH, 'Internal Bullish CHoCH', 'Internal Bullish CHoCH formed')
alertcondition(currentAlerts.internalBearishBOS, 'Internal Bearish BOS', 'Internal Bearish BOS formed')
alertcondition(currentAlerts.internalBearishCHoCH, 'Internal Bearish CHoCH', 'Internal Bearish CHoCH formed')
alertcondition(currentAlerts.swingBullishBOS, 'Bullish BOS', 'Internal Bullish BOS formed')
alertcondition(currentAlerts.swingBullishCHoCH, 'Bullish CHoCH', 'Internal Bullish CHoCH formed')
alertcondition(currentAlerts.swingBearishBOS, 'Bearish BOS', 'Bearish BOS formed')
alertcondition(currentAlerts.swingBearishCHoCH, 'Bearish CHoCH', 'Bearish CHoCH formed')
alertcondition(currentAlerts.internalBullishOrderBlock, 'Bullish Internal OB Breakout', 'Price broke bullish internal OB')
alertcondition(currentAlerts.internalBearishOrderBlock, 'Bearish Internal OB Breakout', 'Price broke bearish internal OB')
alertcondition(currentAlerts.swingBullishOrderBlock, 'Bullish Swing OB Breakout', 'Price broke bullish swing OB')
alertcondition(currentAlerts.swingBearishOrderBlock, 'Bearish Swing OB Breakout', 'Price broke bearish swing OB')
alertcondition(currentAlerts.equalHighs, 'Equal Highs', 'Equal highs detected')
alertcondition(currentAlerts.equalLows, 'Equal Lows', 'Equal lows detected')
alertcondition(currentAlerts.bullishFairValueGap, 'Bullish FVG', 'Bullish FVG formed')
alertcondition(currentAlerts.bearishFairValueGap, 'Bearish FVG', 'Bearish FVG formed')
alertcondition(buy, 'UT Long', 'UT Long')
alertcondition(sell, 'UT Short', 'UT Short')
plotshape(buy, title = 'Buy', text = 'Buy', style = shape.labelup, location = location.belowbar, color = color.new(color.green, 0), textcolor = color.new(color.white, 0), size = size.tiny)
plotshape(sell, title = 'Sell', text = 'Sell', style = shape.labeldown, location = location.abovebar, color = color.new(color.red, 0), textcolor = color.new(color.white, 0), size = size.tiny)
//--------------------------------------------------------------------------------------
// EMA ADDITIONS (Editable)
//--------------------------------------------------------------------------------------
ema5Len = input.int(5, "5 EMA Length", minval = 1)
ema9Len = input.int(9, "9 EMA Length", minval = 1)
ema5 = ta.ema(src, ema5Len)
ema9 = ta.ema(src, ema9Len)
plot(ema5, "EMA 5", color = color.red, linewidth = 2)
plot(ema9, "EMA 9", color = color.blue, linewidth = 2)
barcolor(barbuy ? color.green : na)
barcolor(barsell ? color.red : na)
