Multi Level ZigZag Harmonic PatternsLets make things bit complicated.
Main difference between this script and the earlier Multi Zigzag Harmonic Pattern is the calculation logic of Zigzag 2, 3 and 4
In the earlier script, all zigzags were plain and were calculated on the basis of different lengths. (Such as 5, 10, 15, 20). These were derived on the basis of Multi Zigzag indicator
In this script, Zigzag 2, 3 and 4 are calculated in slightly different way. They are calculated on the basis of previous zigzag. This means, Zigzag 1 will be the input for Zigzag2 calculation and Zigzag 2 will be the input for Zigzag3 and so on. This is demonstrated in the script - Multi Level Zigzag
One important parameter which is specific to this script is: UseZigZagChain
If checked:
Zigzag2 is formed based on Zigzag1
Zigzag3 is formed based on Zigzag2
Zigzag4 is formed based on Zigzag3
This can lead to patterns covering huge number of candles as this chaining causes exponential effect in each levels. (Effective length grows exponentially in each level)
If unchecked:
Zigzag2 is formed based on Zigzag1 (Same as when checked)
Zigzag3 is formed based on Zigzag1. But, length is set to zigzag2Length + zigzag3Length
Zigzag4 is formed based on Zigzag1. But, length is set to zigzag2Length + zigzag3Length + zigzag4Length
This reduces exponential increase of zigzag lengths over next levels.
Logical ratios of patterns are coded as below:
Notations:
Lines XABCD forms the pattern in all cases. (OXABCD in case of Three drives )
abc = BC retacement of AB, xab = AB retracement of XA and so on
ABCD Classic
0.618 <= abc <= 0.786
1.272 <= bcd <= 1.618
AB=CD
Price difference between AB and CD are equal
Time difference between AB and CD are equal
ABCD Extension
0.618 <= abc <= 0.786
1.272 <= AD/ BC (price) <= 1.618
Gartley
xab = 0.618
0.382 <= abc <= 0.886
1.272 <= bcd <= 1.618 OR xad = 0.786
Crab
0.382 <= xab <= 0.618
0.382 <= abc <= 0.886
2.24 <= bcd <= 3.618 OR xad = 1.618
Deep Crab
xab = 0.886
0.382 <= abc <= 0.886
2.0 <= bcd <= 3.618 OR xad = 1.618
Bat
0.382 <= xab <= 0.50
0.382 <= abc <= 0.886
1.618 <= bcd <= 2.618 OR xad = 0.886
Butterfly
xab = 0.786
0.382 <= abc <= 0.886
1.618 <= bcd <= 2.618 OR 1.272 <= xad <= 2.618
Shark
xab = 0.786
1.13 <= abc <= 1.618
1.618 <= bcd <= 2.24 OR 0.886 <= xad <= 1.13
Cypher
0.382 <= xab <= 0.618
1.13 <= abc <= 1.414
1.272 <= bcd <= 2.0 OR xad = 0.786
Three Drives
oxa = 0.618
1.27 <= xab <= 1.618
abc = 0.618
1.27 <= bcd <= 1.618
5-0
1.13 <= xab <= 1.618
1.618 <= abc <= 2.24
bcd = 0.5
Double Bottom
Last two pivot High Lows make W shape
Last Pivot Low is higher than previous Last Pivot Low.
Last Pivot High is lower than previous last Pivot High.
Price has not gone below Last Pivot Low
Price breaks out of last Pivot High to complete W shape
Double Top
Last two pivot High Lows make M shape
Last Pivot Low is higher than previous Last Pivot Low.
Last Pivot High is lower than previous last Pivot High.
Price has not gone above Last Pivot High
Price breaks out of last Pivot Low to complete M shape
在脚本中搜索"high low"
Strongholds - Objective & Accurate Reference Points / StructuresVery early in my trading career, I came across Pivot Points only to find out that there are as many calculations as one pleases. It was hard to find out which ones work. Most of them probably did only out of randomness, so I ditched the strategy and looked for something else.
I previously used my Oracle Eye and Reference Points scripts but it is time for an upgrade.
Stronghold is a script I have used for quite some time now. I ditched daily and weekly closing prices as not that important. Instead, Strongholds are equipped with:
►Daily High & Low • Azure color
►Weekly High & Low • Dark blue
►Weekly old High & Low • Semi-transparent dark circles
►Monthly High & Low • Wizardly purple
There is an option to print:
►4h High & Low • Semi-transparent red
►VWAP • Lovely purple
►Weekly VWAP • Black
All of the levels and lines are set for 1m, 5m, 10m, 15m, 30m, 1h, 4h, 1D timeframes. If you use any alien timeframe, you may need to enter the code.
You can opt-in and out for certain timeframes. For example, daily levels are visible from 15m or 30, so the indicator won't draw them unless you want to. However, they will not be seen on higher timeframes as there is no reason to show them and oversaturate the chart with lines.
▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬
Remember that if you use this script with auto-scale, you need to tick Scale Price Chart Only . Otherwise, your chart will fly to the moon!
Good luck & have fun!
TSI Strength Meter vs USD with divergenceThis indicator consists of two lines. One is a gray line (USD) and the asset indicator is green or red.
The basis of this indicator is the true strength indicator (TSI) with parameters 5,15. Both line sets are based on a TSI (5,15).
The lookback period is for new highs / new lows. Default value is 200 periods.
GREEN/RED LINE
The first that is green and red is whatever you choose to display ( BTC in this case).
The green and red lines indicate going up or going down.
GRAY LINE
The gray line is the US Dollar . So everything is relative to that by default.
ZERO LINE CROSSES
These are momentum shifts. If you see a crossover of both around the zero line, its a good indication there is a change in momentum and a reversal of trend.
NEW HIGHS NEW LOWS
There are 4 new colors added to this indicator. For the asset you are viewing, a lime color means new highs within the lookback period. A new low is indicated by a yellow line color.
The new lows for the USD are white for new lows within the lookback period and blue line for the new highs.
DIVERGENCE
You can also spot divergences easily. For example, if a lime color is seen on the indicator line, that means "new high" but if it occurs below the last "new high" it means the asset is going up to new highs but the indicator is showing us that the readings are below the previous new highs, indicating a negative divergence.
The same goes for the yellow colored lines. higher yellows mean positive divergence.
And with the US Dollar , blue lines dropping means a negative divergence in the US Dollar , while white lines moving up means a positive dollar divergence.
INTERPRETATION
Examples:
If you see a green and sometimes red line of the asset indicator and a gray line that drops below the zero line; it may mean the asset is rising and the trend is up.
If you see a green and red line below the zero line and with a gray line above the zero line , it indicates there is a negative trend. If you suddenly see blue lines on the USD, this means its hitting new lows. If these blue lines then start to slowly move downwards; then we have a positive divergence. If that were to be followed by the green line crossing the zero line, its a pretty good be that the trend is changing and its a very good buying oportunity.
Cumulative Pivot HighLowThis indicator counts number of higher highs/lows and number of lower highs/lows and calculates trend based on that.
Indicator line shows (sum of higher highs/lows - sum of lower highs/lows) derived from last loopback periods. Indicator is green if last two consecutive highs/lows formed are on higher side. Red if on lower side. (Consecutive numbers can be controlled by parameter direction_threshold )
combineHighsAndLows if unselected shows not cumulative version but last consecutive highs and lows marked in red or green according to the trend.
Ichimoku Strategy with Buy and Sell ZonesIchimoku strategy with Buy and Sell Zones basicly using Ichimoku Cloud
Tenkan-sen (Conversion Line): (9-period high + 9-period low)/2
On a daily chart, this line is the midpoint of the 9-day high-low range, which is almost two weeks.
Kijun-sen (Base Line): (26-period high + 26-period low)/2
On a daily chart, this line is the midpoint of the 26-day high-low range, which is almost one month.
Senkou Span A (Leading Span A): (Conversion Line + Base Line)/2
This is the midpoint between the Conversion Line and the Base Line. The Leading Span A forms one of the two Cloud boundaries. It is referred to as “Leading” because it is plotted 26 periods in the future and forms the faster Cloud boundary.
Senkou Span B (Leading Span B): (52-period high + 52-period low)/2
On the daily chart, this line is the midpoint of the 52-day high-low range, which is a little less than 3 months. The default calculation setting is 52 periods, but it can be adjusted. This value is plotted 26 periods in the future and forms the slower Cloud boundary.
Chikou Span: Represents the closing price and is plotted 26 days back.
Kumo Cloud: Kumo cloud between Senkuo Span A and Senkou Span B lines. It can be green or red. Color can be change with the trend.
And, it has 2 zones includes Buy and Sell Zone
For Buy Zone Alert;
- Tenkansen (Conversion Line) should crossover Kijunsen (Base line) above the highest line of cloud
- Price should be above the highest line of cloud
- Chikouspan should be above the cloud
For Sell Zone Alert:
- Kijunsen (Base Line) should crossover Tenkansen (Conversion Line) below the lowest line of cloud
- Price should be below the lowest line of cloud
- Chikouspan should be below the cloud
The indicator has some of Simple Moving Averages and Exponentianl Moving Averages
It includes:
- SMA 50
- SMA 200
- EMA 21
- EMA 500
You have chance to show or hide everything from settings section.
If you hide everything you can only see Buy and Sell zones.
Fibonacci Pivot RangeThis is based on Fibonacci Pivot Points. I forked "CristianD CD_PivotR" code for this. Thanks
"Fibonacci Pivot Points start just the same as Standard Pivot Points. From the base Pivot Point, Fibonacci multiples of the high-low differential are added to form resistance levels and subtracted to form support levels."
Pivot Point (P) = (High + Low + Close)/3
Support 1 (S1) = P - {.382 * (High - Low)}
Support 2 (S2) = P - {.618 * (High - Low)}
Resistance 1 (R1) = P + {.382 * (High - Low)}
Resistance 2 (R2) = P + {.618 * (High - Low)}
Adding more support or resistance levels should be really easy.
CryptoManic_Pivots_fibonacciPivot point fibonacci levels with formula
R3 = PP + ((High - Low) x 1.000)
R2 = PP + ((High - Low) x 0.618)
R1 = PP + ((High - Low) x 0.382)
PP = (H + L + C) / 3
S1 = PP - ((High - Low) x 0.382)
S2 = PP - ((High - Low) x 0.618)
S3 = PP - ((High - Low) x 1.000)
Heikin-Ashi Smoothed with option to change MA types CryptoJoncisPine Script version=3
Author CryptoJoncis
Heikin-Ashi Smoothed
The Heikin-Ashi Smoothed study is based upon the standard Heikin-Ashi study with additional moving average calculations. The following is the calculation formula for the bars:
1. The current bar Open, High, Low, Close values are smoothed individually by using the moving average type specified by the Moving Average Type 1 Input with a length/period specified by the Moving Average Period 1 Input.
2. The Heikin-Ashi bar Open, High, Low, Close values are set using the smoothed values from step 1. This is performed using the standard Heikin-Ashi formula.
3. The final Heikin-Ashi Open, High, Low, Close values are calculated by doing a second smoothing of the bar values from step 2 by using the moving average type specified by the Moving Average Type 2 Input with a length/period specified by the Moving Average Period 2 Input.
If you choose to tick the box where it offers to use only one smoothed HA then it skips the third/final step and you do not need to choose the second MA type for it to work.
Remember, using FRAMA, always make sure you use even number for length.
For simple Heikin-Ashi, please tick single smoothed and DEFAULT (Not smoothed as there are no MA used)
Heikin-Ashi bars are calculated:
1. Close = (Open + High + Low + Close) / 4
This is the average price of the current bar.
2. Open = (Open of Previous Bar + Close of Previous Bar) / 2
This is the midpoint of the previous bar.
3. High = Max of (High, Open, Close)
Highest value of the three.
4. Low = Min of (Low, Open, Close)
Lowest value of the three.
Any questions/suggestions/errors or spelling mistakes? Please leave a comment and let me know. I will try to fix it.
This took me few days to finish, so I hope you will find it useful.
Would you like to have more MA type choices? Please comment down with any other which aren't included in this indicator and I will research them and add.
MA included in this script:
Tillson Moving Average (T3)
Double Exponential Moving Average (DEMA)
Arnaud Legoux Moving Average (ALMA)
Least Squares Moving Average (LSMA)
Simple Moving Average (SMA)
Exponential Moving Average (EMA)
Weighted Moving Average (WMA)
Smoothed Moving Average (SMMA)
Triple Exponential Moving Average (TEMA)
Hull Moving Average (HMA)
Adaptive moving average (AMA)
Fractal Adaptive Moving Average (FAMA)
Variable Index Dynamic Average (VIDYA)
Triangular Moving Average (TRIMA)
You can use,publish,modify this code in any way as you wish, but only if you reference me after.
You are not allowed to sell it as it is.
If this code is useful to you, then consider to buy me a coffee (or better a pint of beer) by donating Bitcoin or Etherium to:
BTC: 3FiBnveHo3YW6DSiPEmoCFCyCnsrWS3JBR
ETH: 0xac290B4A721f5ef75b0971F1102e01E1942A4578
References:
www.sierrachart.com
www.investopedia.com
www.binarytribune.com
www.investopedia.com
www.stockfetcher.com
www.mql5.com
www.incrediblecharts.com
help.cqg.com
www.blastchart.com
Heiken Ashi + Ichimoku Kinko Hyo StrategyHeikin-Ashi:
Instead of using the open-high-low-close (OHLC) bars like standard candlestick charts, it uses a modified formula. Out of which only following two are used in this strategy.
High = Max (High,Open,Close)
Low = Min (Low,Open, Close)
Ichimoku Kinko Hyo:
The Ichimoku Kinko Hyo system includes five kinds of signal, of which this strategy uses four signals i.e. Tenkan Sen / Kijun Sen Cross, price crosses the Kijun Sen, Chikou Span and Kumo. Although the Chikou Span, Senkou Span A and Senkou Span B (Kumo) are shifted into the past/future, these trigger signals enhances 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.
ORB + Fair Value Gaps (FVG/iFVG) Suite with Daily 50% MidlineA complete smart-money–focused price-action toolkit combining the New York Open Range Breakout (ORB), ICT-style Fair Value Gaps, Inverted FVGs, and a dynamic Daily 50% Midline.
Designed for traders who want a clean, fast, and highly visual way to track liquidity, imbalances, and intraday directional bias.
📌 Key Features
1. NY Session ORB (09:30–09:45 New York Time)
Automatically plots:
ORB High
ORB Low
Labels for ORB high/low
Optional 5-minute chart restriction
Lines extend forward for easy reference
Used to identify breakout conditions, liquidity sweeps, and directional bias into the morning session.
📌 2. ICT-Style Fair Value Gaps (FVGs)
Full automated detection of bullish & bearish FVGs based on the classic 3-candle displacement structure:
Bullish FVG: high < low
Bearish FVG: low > high
Each FVG is drawn as a box with:
Custom colour
Custom border style (solid, dashed, dotted)
Automatic extension to the right until filled
Optional size text showing the gap in points (font size/colour adjustable)
Adjustable max lookback for performance
📌 3. Inverted FVGs (iFVGs)
Once price fully fills an FVG, it automatically becomes an iFVG, shown with:
Custom iFVG colour
Custom border style
Extension to the right
Once price trades through the zone from the opposite side, the iFVG is considered “consumed” and:
It stops extending
And optionally auto-deletes based on user settings
This makes it easy to track meaningful imbalances that turn into liquidity pockets.
📌 4. “Show Only After ORB” Filter
Optionally hide all FVGs/iFVGs formed before the ORB completes.
This is especially useful for intraday strategies focused on NY session structure only.
📌 5. Daily 50% Midline (OHLC Midpoint)
A dynamic, always-updating midpoint of the current daily candle:
Mid = (Daily High + Daily Low) / 2
Features:
Custom colour
Dashed styling
Extends left and right as a horizontal ray
Updates live as the daily candle forms
Great for bias filters, mean reversion, and daily liquidity zones.
📌 6. Performance-Optimized (Fast!)
Built with:
Fully configurable max lookback
Memory-efficient arrays
Auto-cleaning of old FVG/iFVG objects
Lightweight daily midline recalculation
This allows extremely fast rendering even on 1-minute charts.
📌 7. Alerts
Includes a clean alert condition:
Price returned to a Fair Value Gap
Works for both bullish and bearish FVG revisits.
🎯 Who This Indicator Is For
This tool is ideal for traders who use:
ICT / SMC concepts
Liquidity-based trading
ORB strategies
Imbalance-driven price action
Intraday or NY session-focused setups
Futures, crypto, forex, and equities
🎁 Summary
This indicator gives you:
A clean ORB framework
Automatic, dynamic FVG and iFVG analysis
Real-time daily candle context
Customizable visuals
Powerful session filtering
Efficient performance
All in one clean, intuitive package built for real-time decision making.
Ultimate Multi-Asset Correlation System by able eiei Ultimate Multi-Asset Correlation System - User Guide
Overview
This advanced TradingView indicator combines WaveTrend oscillator analysis with comprehensive multi-asset correlation tracking. It helps traders understand market relationships, identify regime changes, and spot high-probability trading opportunities across different asset classes.
Key Features
1. WaveTrend Oscillator
Main Signal Lines: WT1 (blue) and WT2 (red) plot momentum and its moving average
Overbought/Oversold Zones: Default levels at +60/-60
Cross Signals:
🟢 Bullish: WT1 crosses above WT2 in oversold territory
🔴 Bearish: WT1 crosses below WT2 in overbought territory
Higher Timeframe (HTF) Analysis: Shows WT1 from 4H, Daily, and Weekly timeframes for trend confirmation
2. Multi-Asset Correlation Tracking
Monitors relationships between:
Major Assets: Gold (XAUUSD), Dollar Index (DXY), US 10-Year Yield, S&P 500
Crypto Assets: Bitcoin, Ethereum, Solana, BNB
Cross-Asset Analysis: Correlation between traditional markets and crypto
3. Market Regime Detection
Automatically identifies market conditions:
Risk-On: High correlation + positive sentiment (🟢 Green background)
Risk-Off: High correlation + negative sentiment (🔴 Red background)
Crypto-Risk-On: Strong crypto correlations (🟠 Orange background)
Low-Correlation: Divergent market behavior (⚪ Gray background)
Neutral: Mixed signals (🟡 Yellow background)
How to Use
Basic Setup
Add to Chart: Apply the indicator to any chart (works on all timeframes)
Choose Display Mode (Display Options):
All: Shows everything (recommended for comprehensive analysis)
WaveTrend Only: Focus on momentum signals
Correlation Only: View market relationships
Heatmap Only: Simplified correlation view
Enable Asset Groups:
✅ Major Assets: Traditional markets (stocks, bonds, commodities)
✅ Crypto Assets: Digital currencies
Mix and match based on your trading focus
Reading the Charts
WaveTrend Section (Bottom Panel)
Above 0 = Bullish momentum
Below 0 = Bearish momentum
Above +60 = Overbought (potential reversal)
Below -60 = Oversold (potential bounce)
Lighter lines = Higher timeframe trends
Correlation Histogram (Colored Bars)
Blue bars: Major asset correlations
Orange bars: Crypto correlations
Purple bars: Cross-asset correlations
Bar height: Correlation strength (-50 to +50 scale)
Background Color
Intensity reflects correlation strength
Color shows market regime
Dashboard Elements
🎯 Market Regime Analysis (Top Left)
Current Regime: Overall market condition
Average Correlation: Strength of relationships (0-1 scale)
Risk Sentiment: -100% (risk-off) to +100% (risk-on)
HTF Alignment: Multi-timeframe trend agreement
Signal Quality: Confidence level for current signals
📊 Correlation Matrix (Top Right)
Shows correlation values between asset pairs:
1.00: Perfect positive correlation
0.75+: Strong correlation (🟢 Green)
0.50+: Medium correlation (🟡 Yellow)
0.25+: Weak correlation (🟠 Orange)
Below 0.25: Negative/no correlation (🔴 Red)
🔥 Correlation Heatmap (Bottom Right)
Visual matrix showing:
Gold vs. DXY, BTC, ETH
DXY vs. BTC, ETH
BTC vs. ETH
Color-coded strength
📈 Performance Tracker (Bottom Left)
Tracks individual asset momentum:
WT1 Values: Current momentum reading
Status: OB (overbought) / OS (oversold) / Normal
Trading Strategies
1. High-Probability Trend Following
✅ Entry Conditions:
WaveTrend bullish/bearish cross
HTF Alignment matches signal direction
Signal Quality > 70%
Correlation supports direction
2. Regime Change Trading
🎯 Watch for regime shifts:
Risk-Off → Risk-On = Consider long positions
High correlation → Low correlation = Reduce position size
Crypto-Risk-On = Focus on crypto longs
3. Divergence Trading
🔍 Look for:
Strong correlation breakdown = Potential volatility
Cross-asset correlation surge = Follow the leader
Volume-price correlation extremes = Trend confirmation
4. Overbought/Oversold Reversals
⚡ Trade reversals when:
WT crosses in extreme zones (-60/+60)
HTF alignment shows opposite trend weakening
Correlation confirms mean reversion setup
Customization Tips
Fine-Tuning Parameters
WaveTrend Core:
Channel Length (10): Lower = more sensitive, Higher = smoother
Average Length (21): Adjust for your timeframe
Correlation Settings:
Length (50): Longer = more stable, Shorter = more responsive
Smoothing (5): Reduce noise in correlation readings
Market Regime:
Risk-On Threshold (0.6): Lower = earlier regime signals
High Correlation Threshold (0.75): Adjust sensitivity
Custom Asset Selection
Replace default symbols with your preferred markets:
Major Assets: Any forex, indices, bonds
Crypto: Any digital currencies
Must use correct exchange prefix (e.g., BINANCE:BTCUSDT)
Alert System
Enable "Advanced Alerts" to receive notifications for:
✅ Market regime changes
✅ Correlation breakdowns/surges
✅ Strong signals with high correlation
✅ Extreme volume-price correlation
✅ Complete HTF alignment
Correlation Interpretation Guide
ValueMeaningTrading Implication+0.75 to +1.0Strong positiveAssets move together+0.5 to +0.75Moderate positiveGenerally aligned+0.25 to +0.5Weak positiveLoose relationship-0.25 to +0.25No correlationIndependent movements-0.5 to -0.25Weak negativeSlight inverse relationship-0.75 to -0.5Moderate negativeTend to move opposite-1.0 to -0.75Strong negativeStrongly inversely correlated
Best Practices
Use Multiple Timeframes: Check HTF alignment before trading
Confirm with Correlation: Strong signals work best with supportive correlations
Watch Regime Changes: Adjust strategy based on market conditions
Volume Matters: Enable volume-price correlation for confirmation
Quality Over Quantity: Trade only high-quality setups (>70% signal quality)
Common Patterns to Watch
🔵 Risk-On Environment:
Gold-BTC positive correlation
DXY negative correlation with risk assets
High crypto correlations
🔴 Risk-Off Environment:
Flight to safety (Gold up, stocks down)
DXY strength
Correlation breakdowns
🟡 Transition Periods:
Low correlation across assets
Mixed HTF signals
Use caution, reduce position sizes
Technical Notes
Calculation Period: Uses HLC3 (average of high, low, close)
Correlation Window: Rolling correlation over specified length
HTF Data: Accurately calculated using security() function
Performance: Optimized for real-time calculation on all timeframes
Support
For optimal performance:
Use on 15-minute to daily timeframes
Enable only needed asset groups
Adjust correlation length based on trading style
Combine with your existing strategy for confirmation
Enjoy comprehensive multi-asset analysis! 🚀
SMC BOS/CHoCH + Auto Fib (5m/any TF) durane//@version=6
indicator('SMC BOS/CHoCH + Auto Fib (5m/any TF)', overlay = true, max_lines_count = 200, max_labels_count = 200)
// --------- Inputs ----------
left = input.int(3, 'Pivot Left', minval = 1)
right = input.int(3, 'Pivot Right', minval = 1)
minSwingSize = input.float(0.0, 'Min swing size (price units, 0 = disabled)', step = 0.1)
fib_levels = input.string('0.0,0.236,0.382,0.5,0.618,0.786,1.0', 'Fibonacci levels (comma separated)')
show_labels = input.bool(true, 'Show BOS/CHoCH labels')
lookbackHighLow = input.int(200, 'Lookback for structure (bars)')
// Parse fib levels
strs = str.split(fib_levels, ',')
var array fibs = array.new_float()
if barstate.isfirst
for s in strs
array.push(fibs, str.tonumber(str.trim(s)))
// --------- Find pivot highs / lows ----------
pHigh = ta.pivothigh(high, left, right)
pLow = ta.pivotlow(low, left, right)
// store last confirmed swings
var float lastSwingHighPrice = na
var int lastSwingHighBar = na
var float lastSwingLowPrice = na
var int lastSwingLowBar = na
if not na(pHigh)
// check min size
if minSwingSize == 0 or pHigh - nz(lastSwingLowPrice, pHigh) >= minSwingSize
lastSwingHighPrice := pHigh
lastSwingHighBar := bar_index - right
lastSwingHighBar
if not na(pLow)
if minSwingSize == 0 or nz(lastSwingHighPrice, pLow) - pLow >= minSwingSize
lastSwingLowPrice := pLow
lastSwingLowBar := bar_index - right
lastSwingLowBar
// --------- Detect BOS & CHoCH (simple robust logic) ----------
var int lastBOSdir = 0 // 1 = bullish BOS (price broke above), -1 = bearish BOS
var int lastBOSbar = na
var float lastBOSprice = na
// Look for price closes beyond last structural swings within lookback
// Bullish BOS: close > recent swing high
condBullBOS = not na(lastSwingHighPrice) and close > lastSwingHighPrice and bar_index - lastSwingHighBar <= lookbackHighLow
// Bearish BOS: close < recent swing low
condBearBOS = not na(lastSwingLowPrice) and close < lastSwingLowPrice and bar_index - lastSwingLowBar <= lookbackHighLow
bosTriggered = false
chochTriggered = false
if condBullBOS
bosTriggered := true
if lastBOSdir != 1
// if previous BOS direction was -1, this is CHoCH (change of character)
chochTriggered := lastBOSdir == -1
chochTriggered
lastBOSdir := 1
lastBOSbar := bar_index
lastBOSprice := close
lastBOSprice
if condBearBOS
bosTriggered := true
if lastBOSdir != -1
chochTriggered := lastBOSdir == 1
chochTriggered
lastBOSdir := -1
lastBOSbar := bar_index
lastBOSprice := close
lastBOSprice
// --------- Plot labels for BOS / CHoCH ----------
if bosTriggered and show_labels
if chochTriggered
label.new(bar_index, high, text = lastBOSdir == 1 ? 'CHoCH ↑' : 'CHoCH ↓', style = label.style_label_up, color = color.new(color.orange, 0), textcolor = color.white, yloc = yloc.abovebar)
else
label.new(bar_index, high, text = lastBOSdir == 1 ? 'BOS ↑' : 'BOS ↓', style = label.style_label_left, color = lastBOSdir == 1 ? color.green : color.red, textcolor = color.white, yloc = yloc.abovebar)
// --------- Auto Fibonacci drawing ----------
var array fib_lines = array.new_line()
var array fib_labels = array.new_label()
var int lastFibId = na
// Function to clear previous fibs
f_clear() =>
if array.size(fib_lines) > 0
for i = 0 to array.size(fib_lines) - 1
line.delete(array.get(fib_lines, i))
if array.size(fib_labels) > 0
for i = 0 to array.size(fib_labels) - 1
label.delete(array.get(fib_labels, i))
array.clear(fib_lines)
array.clear(fib_labels)
// Decide anchors for fib: if lastBOSdir==1 (bullish) anchor from lastSwingLow -> lastSwingHigh
// if lastBOSdir==-1 (bearish) anchor from lastSwingHigh -> lastSwingLow
if lastBOSdir == 1 and not na(lastSwingLowPrice) and not na(lastSwingHighPrice)
// bullish fib: low -> high
startPrice = lastSwingLowPrice
endPrice = lastSwingHighPrice
// draw
f_clear()
for i = 0 to array.size(fibs) - 1 by 1
lvl = array.get(fibs, i)
priceLevel = startPrice + (endPrice - startPrice) * lvl
ln = line.new(x1 = lastSwingLowBar, y1 = priceLevel, x2 = bar_index, y2 = priceLevel, xloc = xloc.bar_index, extend = extend.right, color = color.new(color.green, 60), width = 1, style = line.style_solid)
array.push(fib_lines, ln)
lab = label.new(bar_index, priceLevel, text = str.tostring(lvl * 100, '#.0') + '%', style = label.style_label_right, color = color.new(color.green, 80), textcolor = color.white, yloc = yloc.price)
array.push(fib_labels, lab)
if lastBOSdir == -1 and not na(lastSwingHighPrice) and not na(lastSwingLowPrice)
// bearish fib: high -> low
startPrice = lastSwingHighPrice
endPrice = lastSwingLowPrice
f_clear()
for i = 0 to array.size(fibs) - 1 by 1
lvl = array.get(fibs, i)
priceLevel = startPrice + (endPrice - startPrice) * lvl
ln = line.new(x1 = lastSwingHighBar, y1 = priceLevel, x2 = bar_index, y2 = priceLevel, xloc = xloc.bar_index, extend = extend.right, color = color.new(color.red, 60), width = 1, style = line.style_solid)
array.push(fib_lines, ln)
lab = label.new(bar_index, priceLevel, text = str.tostring(lvl * 100, '#.0') + '%', style = label.style_label_right, color = color.new(color.red, 80), textcolor = color.white, yloc = yloc.price)
array.push(fib_labels, lab)
// --------- Optional: plot lastSwing points ----------
plotshape(not na(lastSwingHighPrice) ? lastSwingHighPrice : na, title = 'LastSwingHigh', location = location.absolute, style = shape.triangledown, size = size.tiny, color = color.red, offset = 0)
plotshape(not na(lastSwingLowPrice) ? lastSwingLowPrice : na, title = 'LastSwingLow', location = location.absolute, style = shape.triangleup, size = size.tiny, color = color.green, offset = 0)
// --------- Alerts ----------
alertcondition(bosTriggered and lastBOSdir == 1, title = 'Bullish BOS', message = 'Bullish BOS detected on {{ticker}} @ {{close}}')
alertcondition(bosTriggered and lastBOSdir == -1, title = 'Bearish BOS', message = 'Bearish BOS detected on {{ticker}} @ {{close}}')
alertcondition(chochTriggered, title = 'CHoCH Detected', message = 'CHoCH detected on {{ticker}} @ {{close}}')
// End
Ata Low rsi macd aomacd stochastic and divergensesBrief Description of the Script
The script is a multi‑indicator trading tool for the TradingView platform (Pine Script v5) that combines several technical analysis elements to help traders identify market trends, potential reversals, and entry/exit points.
эту версию скрипта не обновляю. для получения обновлений в лс.
Key features:
Multiple Oscillators
The user can select one of four oscillators to display:
RSI (Relative Strength Index) — identifies overbought/oversold conditions;
Stoch (Stochastic Oscillator) — detects potential reversals via %K and %D line interactions;
MACD (Moving Average Convergence/Divergence) — shows trend direction and momentum shifts;
AO+MACD — combines Awesome Oscillator (AO) for momentum with MACD for trend confirmation.
Divergence Detection
Identifies four types of price‑oscillator divergences:
Bullish regular (price lows vs. higher oscillator lows);
Bullish hidden (higher price lows vs. lower oscillator lows);
Bearish regular (price highs vs. lower oscillator highs);
Bearish hidden (lower price highs vs. higher oscillator highs).
Divergences are marked on the chart with labels and lines.
Customizable Parameters
Users can adjust:
Oscillator periods (e.g., RSI length, Stoch K/D smoothing, MACD fast/slow/signal lengths);
Source prices (close, high, low, etc.);
Visual settings (colors, line widths, label styles);
Divergence sensitivity (minimum bars between swing points).
Trend and Volatility Analysis
EMA crossover (fast/slow) to determine trend direction;
ATR‑based volatility score (1–5 scale);
RSI‑derived trend strength (1–50 scale);
ADX filter to confirm trend strength (>20).
Additional Signals
Awesome Oscillator “Tea Saucer” patterns for potential long/short entries;
Fibonacci‑Bollinger bands to spot price deviations and reversal zones;
Volume filter to confirm reversals;
Session timing table (optional) showing active/upcoming market sessions (Asia, London, NYSE, etc.).
Visual Outputs
Plots for selected oscillator (RSI, Stoch, MACD, or AO);
Shaded zones (e.g., RSI overbought/oversold areas);
Divergence lines and labels (color‑coded by type);
Reversal “circles” (blue for bullish, red for bearish);
Summary label with trend direction, volatility, and strength;
Optional session timing table.
Purpose:
To provide a comprehensive view of market momentum, trend, and potential reversal setups by combining oscillator crossovers, divergences, volatility, volume, and session context — helping traders time entries and exits across multiple timeframes.
ICT Sessions Ranges [SwissAlgo]ICT Session Ranges - ICT Liquidity Zones & Market Structure
OVERVIEW
This indicator identifies and visualizes key intraday trading sessions and liquidity zones based on Inner Circle Trader (ICT) methodology (AM, NY Lunch Raid, PM Session, London Raid). It tracks 'higher high' and 'lower low' price levels during specific time periods that may represent areas where market participants have placed orders (liquidity).
PURPOSE
The indicator helps traders observe:
Session-based price ranges during different market hours
Opening range gaps between market close and next day's open
Potential areas where liquidity may be concentrated and trigger price action
SESSIONS TRACKED
1. London Session (02:00-05:00 ET): Tracks price range during early London trading hours
2. AM Session (09:30-12:00 ET): Tracks price range during the morning New York session
3. NY Lunch Session (12:00-13:30 ET): Tracks price range during typical low-volume lunch period
4. PM Session (13:30-16:00 ET): Tracks price range during the afternoon New York session
CALCULATIONS
Session High/Low: The highest high and lowest low recorded during each active session period
Opening Range Gap: Calculated as the difference between the previous day's 16:00 close and the current day's 09:30 open
Gap Mitigation: A gap is considered mitigated when the price reaches 50% of the gap range
All times are based on America/New_York timezone (ET)
BACKGROUND INDICATORS
NY Trading Hours (09:30-16:00 ET): Optional gray background overlay
Asian Session (20:00-23:59 ET): Optional purple background overlay
VISUAL ELEMENTS
Horizontal lines mark session highs and lows
Subtle background boxes highlight each session range
Labels identify each session type
Orange shaded boxes indicate unmitigated opening range gaps
Dotted line at 50% gap level shows mitigation threshold
FEATURES
Toggle visibility for each session independently
Customizable colors for each session type
Automatic removal of mitigated gaps
All drawing objects use transparent backgrounds for chart clarity
ICT CONCEPTS
This tool relates to concepts discussed by Inner Circle Trader regarding liquidity pools, session-based analysis, and gap theory. The indicator assumes that session highs and lows may represent areas where liquidity is concentrated, and that opening range gaps may attract price until mitigated.
USAGE NOTES
Best used on intraday timeframes (1-15 minute charts)
All sessions are calculated based on actual price movement during specified time periods
Historical session data is preserved as new sessions develop
Gap detection only triggers at 09:30 ET market open
DISCLAIMER
This indicator is for educational and informational purposes only. It displays historical price levels and time-based calculations. Past performance of price levels is not indicative of future results. The identification of "liquidity zones" is a theoretical concept and does not guarantee that orders exist at these levels or that prices will react to them. Trading involves substantial risk of loss. Users should conduct their own analysis and risk assessment before making any trading decisions.
TIME ZONE
Set your timezone to: America/New_York (UTC-5)
ALN Sessions Box Breakout — Auto- DSTDevoleper: Sheikh Rakib
What it does
This indicator draws session range boxes for Asia (Dhaka), London, and New York using each market’s own local time (DST-aware). After a session closes, it watches for the first close above the session high or below the session low and then marks that breakout once per session with clear chart markers and optional alerts.
Key features
Auto-DST, per-city timezones
London session uses Europe/London
New York session uses America/New_York
Asia session uses Asia/Dhaka
Your chart timezone doesn’t matter—the sessions track real local hours.
Clean range boxes with adjustable opacity and optional outlines.
Session labels that auto-center at the end of each session.
One-shot breakout signals per session:
Triangle up when price closes above the session high.
Triangle down when price closes below the session low.
Built-in alerts for: session starts and each breakout direction.
Inputs
London / New York / Asia (Dhaka)
Show Session: toggle each session on/off
Time Range: default London 08:00–17:00 (local), New York 08:00–17:00 (local), Asia 06:00–15:00 (Dhaka)
Colour: box color for each session
Settings
Show Session Labels
Show Range Outline
Opacity Preset: Dark / Medium / Light
(UTC Offset input is kept for display, not used in session detection.)
Visuals & alerts
Boxes extend from session open to close, continually updating the high/low.
When the session ends, the final high/low are locked in, the label is centered, and the indicator begins monitoring for a breakout.
Alerts
Session start: Asia/London/New York
Breakouts: “High Breakout” (close > high) and “Low Breakout” (close < low) for each session
Create alerts from the TradingView alert dialog and choose the desired alertcondition.
Logic notes (how signals fire)
While a session is open, its box grows to contain all highs/lows.
On the first bar after close, the script starts listening for a breakout:
Close > session high → one up signal (fires once)
Close < session low → one down signal (fires once)
When the next same session begins, internal flags reset and a new box starts—so signals are inherently scoped to the period between that session’s close and its next open.
Tips
Use on intraday timeframes (e.g., 1m–30m) for clearer box structure.
If you only want specific markets, toggle others off for a cleaner chart.
For systematic entries, combine with your trend/volatility filters and use the breakout alerts as triggers or confirmations—this script doesn’t place trades.
Disclaimer: Market timing and risk management are your responsibility. Past session behavior does not guarantee future performance.
Balanced Delta Volume Profile (Zeiierman)█ Overview
Balanced Delta Volume Profile (Zeiierman) builds a vertical, price-by-price profile that blends total participation with balance quality. Instead of plotting raw volume alone, it weights each price bin by:
how balanced buyers vs. sellers were,
how compressed price was inside that bin,
how often price revisited it.
The result spotlights fair value and acceptance zones while still revealing momentum/imbalance areas—ideal for reading rotation vs. trend, continuation vs. exhaustion, and the prices that truly matter.
Highlights
Balanced score that fuses delta symmetry, price compression, and hit frequency.
Optional heat spectrum for instant read of participation density and balance strength.
POC-like auto highlight of the dominant price level within the lookback window.
Works across timeframes for session profiling, swing context, or regime shifts.
█ How It Works
⚪ Profile Construction
The script scans a fixed History Length and divides the full high–low span into Bin Count price bins. For every bar in the window, its volume is proportionally distributed across the bins it overlaps, so wide-range bars contribute across multiple bins, while narrow bars concentrate where they traded most. This yields per-bin totals for:
Total Volume (participation)
Positive / Negative Volume (up vs. down bar contribution)
Hit Count (how often price touched the bin)
Average Price Range (mean bar range inside the bin; a proxy for compression)
⚪ Delta & Direction
For each bin, delta symmetry is measured via the ratio of |pos − neg| to total volume. Bins with balanced two-sided flow score higher than one-sided, runaway bins. This curbs the tendency of raw volume profiles to over-reward impulsive bursts.
⚪ Balance Score
Each price bin gets a balance score that multiplies three normalized components:
Delta Balance: rewards bins where buy/sell pressure is symmetrical (configurable via Volume Momentum Weight).
Price Compression: rewards bins where average bar range is relatively small (configurable via Price Momentum Weight).
Durability: rewards bins revisited often (configurable via Hits Weight).
A Min Hits Filter removes flimsy, single-touch bins from dominating the score. The profile can display pure totals or Average Mode (Vol/Hit) to compare bins fairly when hit counts differ.
⚪ Display & Heat Spectrum
The final plotted bar length per bin is the display volume (total or average) weighted by the balance score and normalized to 100.
POC-like Highlight: The 100% bin is outlined (and labeled) when Highlight Max Volume Bin is ON.
Heat Spectrum (optional): A background gradient scales with normalized bar length and balance hue.
Balance Hue: Interpolates between Balance Low/High Colors so high-balance bins visually pop as “accepted value.”
█ How to Use
The profile is effectively a map of price acceptance:
High, bright bars = strong participation at balanced prices → fair value/rotation zones.
Thin, muted bars = poor acceptance → imbalance or transition areas.
POC-style level = most influential price in the lookback window.
⚪ Find Fair Value & Acceptance
Thick, high-balance bins mark value. Expect rotation: price often revisits or oscillates around these areas. They’re prime zones for mean-reversion fades, scale-ins, and risk-defined trades against the edges.
⚪ Identify Imbalance & Funnels
Low-balance, low-hit bins often act like air pockets—price can move through them quickly. These zones are helpful for continuation trades into thin areas or for timing breakout pulls back into acceptance.
⚪ POC Dynamics
When price leaves the POC and returns, watch for re-acceptance (price comes back into the POC or high-balance zone and stays there.) vs. rejection (trend continuation away from value). The auto-highlight makes this quick to judge.
█ Settings
History Length – Bars scanned for the profile. Longer = broader context, slower to adapt.
Bin Count – Vertical resolution of bins between the window’s min and max price.
Display Shift – Offsets the rendering rightward for clarity.
Average Mode (Vol/Hit) – ON uses average volume per visit; OFF uses total volume.
Volume Momentum Weight – Emphasizes two-way flow; higher values favor balanced bins over one-sided deltas.
Price Momentum Weight – Emphasizes compression; higher values favor narrow-range, coiling price action.
Hits Weight – Rewards bins revisited often; higher values favor durable acceptance.
Min Hits Filter – Minimum visits a bin needs to qualify for the balance score.
Show Heat Spectrum – Background gradient for quick read of density and balance.
Highlight Max Volume Bin – Outline + raw volume label for the dominant bin.
Max Volume Color – Color used for that highlight.
Balance Low/High Colors – Gradient endpoints for balance hue across the profile.
-----------------
Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
