Liquidity Sweep Filter Strategy [AlgoAlpha X PineIndicators]This strategy is based on the Liquidity Sweep Filter developed by AlgoAlpha. Full credit for the concept and original indicator goes to AlgoAlpha.
The Liquidity Sweep Filter Strategy is a non-repainting trading system designed to identify liquidity sweeps, trend shifts, and high-impact price levels. It incorporates volume-based liquidation analysis, trend confirmation, and dynamic support/resistance detection to optimize trade entries and exits.
This strategy helps traders:
Detect liquidity sweeps where major market participants trigger stop losses and liquidations.
Identify trend shifts using a volatility-based moving average system.
Analyze volume distribution with a built-in volume profile visualization.
Filter noise by differentiating between major and minor liquidity sweeps.
How the Liquidity Sweep Filter Strategy Works
1. Trend Detection Using Volatility-Based Filtering
The strategy applies a volatility-adjusted moving average system to determine trend direction:
A central trend line is calculated using an EMA smoothed over a user-defined length.
Upper and lower deviation bands are created based on the average price deviation over multiple periods.
If price closes above the upper band, the strategy signals an uptrend.
If price closes below the lower band, the strategy signals a downtrend.
This approach ensures that trend shifts are confirmed only when price significantly moves beyond normal market fluctuations.
2. Liquidity Sweep Detection
Liquidity sweeps occur when price temporarily breaks key levels, triggering stop-loss liquidations or margin call events. The strategy tracks swing highs and lows, marking potential liquidity grabs:
Bearish Liquidity Sweeps – Price breaks a recent high, then reverses downward.
Bullish Liquidity Sweeps – Price breaks a recent low, then reverses upward.
Volume Integration – The strategy analyzes trading volume at each sweep to differentiate between major and minor sweeps.
Key levels where liquidity sweeps occur are plotted as color-coded horizontal lines:
Red lines indicate bearish liquidity sweeps.
Green lines indicate bullish liquidity sweeps.
Labels are displayed at each sweep, showing the volume of liquidated positions at that level.
3. Volume Profile Analysis
The strategy includes an optional volume profile visualization, displaying how trading volume is distributed across different price levels.
Features of the volume profile:
Point of Control (POC) – The price level with the highest traded volume is marked as a key area of interest.
Bounding Box – The profile is enclosed within a transparent box, helping traders visualize the price range of high trading activity.
Customizable Resolution & Scale – Traders can adjust the granularity of the profile to match their preferred time frame.
The volume profile helps identify zones of strong support and resistance, making it easier to anticipate price reactions at key levels.
Trade Entry & Exit Conditions
The strategy allows traders to configure trade direction:
Long Only – Only takes long trades.
Short Only – Only takes short trades.
Long & Short – Trades in both directions.
Entry Conditions
Long Entry:
A bullish trend shift is confirmed.
A bullish liquidity sweep occurs (price sweeps below a key level and reverses).
The trade direction setting allows long trades.
Short Entry:
A bearish trend shift is confirmed.
A bearish liquidity sweep occurs (price sweeps above a key level and reverses).
The trade direction setting allows short trades.
Exit Conditions
Closing a Long Position:
A bearish trend shift occurs.
The position is liquidated at a predefined liquidity sweep level.
Closing a Short Position:
A bullish trend shift occurs.
The position is liquidated at a predefined liquidity sweep level.
Customization Options
The strategy offers multiple adjustable settings:
Trade Mode: Choose between Long Only, Short Only, or Long & Short.
Trend Calculation Length & Multiplier: Adjust how trend signals are calculated.
Liquidity Sweep Sensitivity: Customize how aggressively the strategy identifies sweeps.
Volume Profile Display: Enable or disable the volume profile visualization.
Bounding Box & Scaling: Control the size and position of the volume profile.
Color Customization: Adjust colors for bullish and bearish signals.
Considerations & Limitations
Liquidity sweeps do not always result in reversals. Some price sweeps may continue in the same direction.
Works best in volatile markets. In low-volatility environments, liquidity sweeps may be less reliable.
Trend confirmation adds a slight delay. The strategy ensures valid signals, but this may result in slightly later entries.
Large volume imbalances may distort the volume profile. Adjusting the scale settings can help improve visualization.
Conclusion
The Liquidity Sweep Filter Strategy is a volume-integrated trading system that combines liquidity sweeps, trend analysis, and volume profile data to optimize trade execution.
By identifying key price levels where liquidations occur, this strategy provides valuable insight into market behavior, helping traders make better-informed trading decisions.
Key use cases for this strategy:
Liquidity-Based Trading – Capturing moves triggered by stop hunts and liquidations.
Volume Analysis – Using volume profile data to confirm high-activity price zones.
Trend Following – Entering trades based on confirmed trend shifts.
Support & Resistance Trading – Using liquidity sweep levels as dynamic price zones.
This strategy is fully customizable, allowing traders to adapt it to different market conditions, timeframes, and risk preferences.
Full credit for the original concept and indicator goes to AlgoAlpha.
Поиск скриптов по запросу "trigger"
CandelaCharts - Swing Failure Pattern (SFP)# SWING FAILURE PATTERN
📝 Overview
The Swing Failure Pattern (SFP) indicator is designed to identify and highlight Swing Failure Patterns on a user’s chart. This pattern typically emerges when significant market participants generate liquidity by driving price action to key levels. An SFP occurs when the price temporarily breaks above a resistance level or below a support level, only to quickly reverse and return within the previous range. These movements are often associated with stop-loss hunting or liquidity grabs, providing traders with potential opportunities to anticipate reversals or key market turning points.
A Bullish SFP occurs when the price dips below a key support level, triggering stop-loss orders, but then swiftly reverses upward, signaling a potential upward trend or reversal.
A Bearish SFP happens when the price spikes above a key resistance level, triggering stop-losses of short positions, but then quickly reverses downward, indicating a potential bearish trend or reversal.
The indicator is a powerful tool for traders, helping to identify liquidity grabs and potential reversal points in real-time. Marking bullish and bearish Swing Failure Patterns on the chart, it provides clear visual cues for spotting market traps set by major players, enabling more informed trading decisions and improved risk management.
📦 Features
Bullish/Bearish SFPs
Styling
⚙️ Settings
Length: Determines the detection length of each SFP
Bullish SFP: Displays the bullish SFPs
Bearish SFP: Displays the bearish SFPs
Label: Controls the size of the label
⚡️ Showcase
Bullish
Bearish
Both
📒 Usage
The best approach is to combine a few complementary indicators to gain a clearer market perspective. This doesn’t mean relying on the Golden Cross, RSI divergences, SFPs, and funding rates simultaneously, but rather focusing on one or two that align well in a given scenario.
The example above demonstrates the confluence of a Bearish Swing Failure Pattern (SFP) with an RSI divergence. This combination strengthens the signal, as the Bearish SFP indicates a potential reversal after a liquidity grab, while the RSI divergence confirms weakening momentum at the key level. Together, these indicators provide a more robust setup for identifying potential market reversals with greater confidence.
🚨 Alerts
This script provides alert options for all signals.
Bearish Signal
A bearish signal is triggered when a Bearish SFP is formed.
Bullish Signal
A bullish signal is triggered when a Bullish SFP is formed.
⚠️ Disclaimer
Trading involves significant risk, and many participants may incur losses. The content on this site is not intended as financial advice and should not be interpreted as such. Decisions to buy, sell, hold, or trade securities, commodities, or other financial instruments carry inherent risks and are best made with guidance from qualified financial professionals. Past performance is not indicative of future results.
3 EMA + RSI with Trail Stop [Free990] (LOW TF)This trading strategy combines three Exponential Moving Averages (EMAs) to identify trend direction, uses RSI to signal exit conditions, and applies both a fixed percentage stop-loss and a trailing stop for risk management. It aims to capture momentum when the faster EMAs cross the slower EMA, then uses RSI thresholds, time-based exits, and stops to close trades.
Short Explanation of the Logic
Trend Detection: When the 10 EMA crosses above the 20 EMA and both are above the 100 EMA (and the current price bar closes higher), it triggers a long entry signal. The reverse happens for a short (the 10 EMA crosses below the 20 EMA and both are below the 100 EMA).
RSI Exit: RSI crossing above a set threshold closes long trades; crossing below another threshold closes short trades.
Time-Based Exit: If a trade is in profit after a set number of bars, the strategy closes it.
Stop-Loss & Trailing Stop: A fixed stop-loss based on a percentage from the entry price guards against large drawdowns. A trailing stop dynamically tightens as the trade moves in favor, locking in potential gains.
Detailed Explanation of the Strategy Logic
Exponential Moving Average (EMA) Setup
Short EMA (out_a, length=10)
Medium EMA (out_b, length=20)
Long EMA (out_c, length=100)
The code calculates three separate EMAs to gauge short-term, medium-term, and longer-term trend behavior. By comparing their relative positions, the strategy infers whether the market is bullish (EMAs stacked positively) or bearish (EMAs stacked negatively).
Entry Conditions
Long Entry (entryLong): Occurs when:
The short EMA (10) crosses above the medium EMA (20).
Both EMAs (short and medium) are above the long EMA (100).
The current bar closes higher than it opened (close > open).
This suggests that momentum is shifting to the upside (short-term EMAs crossing up and price action turning bullish). If there’s an existing short position, it’s closed first before opening a new long.
Short Entry (entryShort): Occurs when:
The short EMA (10) crosses below the medium EMA (20).
Both EMAs (short and medium) are below the long EMA (100).
The current bar closes lower than it opened (close < open).
This indicates a potential shift to the downside. If there’s an existing long position, that gets closed first before opening a new short.
Exit Signals
RSI-Based Exits:
For long trades: When RSI exceeds a specified threshold (e.g., 70 by default), it triggers a long exit. RSI > short_rsi generally means overbought conditions, so the strategy exits to lock in profits or avoid a pullback.
For short trades: When RSI dips below a specified threshold (e.g., 30 by default), it triggers a short exit. RSI < long_rsi indicates oversold conditions, so the strategy closes the short to avoid a bounce.
Time-Based Exit:
If the trade has been open for xBars bars (configurable, e.g., 24 bars) and the trade is in profit (current price above entry for a long, or current price below entry for a short), the strategy closes the position. This helps lock in gains if the move takes too long or momentum stalls.
Stop-Loss Management
Fixed Stop-Loss (% Based): Each trade has a fixed stop-loss calculated as a percentage from the average entry price.
For long positions, the stop-loss is set below the entry price by a user-defined percentage (fixStopLossPerc).
For short positions, the stop-loss is set above the entry price by the same percentage.
This mechanism prevents catastrophic losses if the market moves strongly against the position.
Trailing Stop:
The strategy also sets a trail stop using trail_points (the distance in price points) and trail_offset (how quickly the stop “catches up” to price).
As the market moves in favor of the trade, the trailing stop gradually tightens, allowing profits to run while still capping potential drawdowns if the price reverses.
Order Execution Flow
When the conditions for a new position (long or short) are triggered, the strategy first checks if there’s an opposite position open. If there is, it closes that position before opening the new one (prevents going “both long and short” simultaneously).
RSI-based and time-based exits are checked on each bar. If triggered, the position is closed.
If the position remains open, the fixed stop-loss and trailing stop remain in effect until the position is exited.
Why This Combination Works
Multiple EMA Cross: Combining 10, 20, and 100 EMAs balances short-term momentum detection with a longer-term trend filter. This reduces false signals that can occur if you only look at a single crossover without considering the broader trend.
RSI Exits: RSI provides a momentum oscillator view—helpful for detecting overbought/oversold conditions, acting as an extra confirmation to exit.
Time-Based Exit: Prevents “lingering trades.” If the position is in profit but failing to advance further, it takes profit rather than risking a trend reversal.
Fixed & Trailing Stop-Loss: The fixed stop-loss is your safety net to cap worst-case losses. The trailing stop allows the strategy to lock in gains by following the trade as it moves favorably, thus maximizing profit potential while keeping risk in check.
Overall, this approach tries to capture momentum from EMA crossovers, protect profits with trailing stops, and limit risk through both a fixed percentage stop-loss and exit signals from RSI/time-based logic.
Charan_Trading_IndicatorCharan_Trading_Indicator Overview:
The Charan_Trading_Indicator combines several technical analysis tools, including Bollinger Bands, RSI (Relative Strength Index), VWAP (Volume-Weighted Average Price), and ATR (Average True Range), to provide buy and sell signals. The script incorporates multiple strategies, such as crack snap setups, overbought/oversold levels, and trend continuation indicators, all tailored for precise market entry and exit points.
Key Components:
RSI (Relative Strength Index):
The indicator uses RSI to detect overbought (RSI > 70) and oversold (RSI < 30) market conditions.
Alerts are triggered when prices are within the specified buy/sell range and RSI crosses these thresholds.
Bollinger Bands:
Bollinger Bands are calculated based on a configurable moving average and standard deviation.
The script identifies potential buy signals when the price dips below the lower Bollinger Band and recovers, and sell signals when the price exceeds the upper Bollinger Band and retraces.
Crack Snap Strategies:
The indicator incorporates multiple variations of the crack snap strategy:
Buy Signals: Triggered when price opens below the lower Bollinger Band and closes above it, alongside certain conditions in previous candles.
Sell Signals: Triggered when price opens above the upper Bollinger Band and closes below it, with similar candle patterns.
Variations such as 3-candle (3C) and 4-candle (4C) versions refine the crack snap setups for more robust signals.
Isolated Candle Conditions:
The indicator tracks isolated candles, where the entire candle lies above or below the Bollinger Bands, to identify potential reversal points.
Trend Continuation Signals:
Conditions based on the candle range and previous highs/lows allow the indicator to generate signals for trend continuation:
Buy signals when price breaks above the previous two highs.
Sell signals when price breaks below the previous two lows.
VWAP (Volume-Weighted Average Price):
The indicator integrates VWAP to give additional support and resistance levels, ensuring signals align with volume trends.
ATR-Based Stop Loss:
For both buy and sell conditions, the script plots stop-loss levels based on the ATR (Average True Range), giving dynamic risk management levels.
Buy/Sell Ranges:
The user can set minimum and maximum price ranges for buy and sell signals, ensuring that the indicator only generates alerts within desired price ranges.
How It Works:
Buy Signals: The script generates buy signals based on multiple conditions, including the crack snap strategy, oversold RSI levels, and trend continuation setups. When these conditions are met, green triangles appear below the price bars, and an alert is triggered.
Sell Signals: Sell signals are triggered when the opposite conditions are met (overbought RSI, crack snap sell setups, trend breaks), and red triangles appear above the price bars.
Visual Indicators: The script plots upper and lower Bollinger Bands, stop loss levels, and VWAP on the chart, providing a comprehensive view of market conditions and support/resistance levels.
This indicator is versatile, combining multiple technical tools for robust decision-making in trading. It generates alerts, plots visual markers, and integrates risk management, making it a well-rounded tool for technical analysis.
This indicator is versatile, combining multiple technical tools for robust decision-making in trading. It generates alerts, plots visual markers, and integrates risk management, making it a well-rounded tool for technical analysis.
Volume Delta Trailing Stop [LuxAlgo]The ' Volume Delta Trailing Stop ' indicator uses Lower Time Frame (LTF) volume delta data which can provide potential entries together with a Volume-Delta based Trailing Stop-line .
🔶 USAGE
Our 'Volume Delta Trailing Stop' script can show potential entries/Stop Loss lines
A trigger line needs to be broken before a position is taken, after which a Volume Delta-controlled Trailing Stop-line is created:
🔶 DETAILS
🔹 Volume rises when bought or sold
🔹 When the opening price appears on the chart, a buy/sell order has been executed.
If that order is less than the available supply of that particular price, volume will rise, without moving the price.
🔹 When the opening price is the same as the closing price, the volume of that bar can be seen as "neutral volume" (nV); nor "up", nor "down" volume.
Example
A buy order doesn't fill the first available supply in the order book. This price will be the opening price with a certain volume.
When at closing time, price still hasn't moved (the first available supply in the order book isn't filled, or no movement downwards),
the closing price will be equal to the opening price, but with volume. This can be seen as "neutral volume (nV)".
🔹 Delta Volume (ΔV): this is "up volume" minus "down volume"
🔹 Standard volume is colored red when closing price is lower than opening price ( = "down volume").
🔹 Standard volume is colored green when closing price is higher OR equal (nV) than opening price ( = "up volume").
🔹 Neutral Volume
The "Neutral-Volume" is considered "Up-Volume" - setting will dictate whether nV is considered as green 'buy' volume or not.
🔶 EXAMPLE
29 July 10:00 -> 10:05, chart timeframe 5 minutes, open 29311.28, close 29313.89
close > open, so the volume (39.55) is colored green ("up volume").
(The Volume script used in the following examples is the open-source publication Volume Columns w. Alerts (V) from LucF )
Let's zoom to the 1-minute TF:
The same period is now divided into more bars, volume direction (color) is dependable on the difference between open and close.
Counting up and down volume gives a more detailed result, it remains in an upward direction though):
(ΔV = +15.51)
Let's further zoom in to the 1-second TF:
The same period is now divided into even more bars (more possibility for changing direction on each bar)
Here we see several bars that haven't moved in price, but they have volume ("neutral" volume).
(neutral volume is coloured light green here, while up volume is coloured darker green)
When we count all green and red volume bars, the result is quite different:
(ΔV = -0.35)
In total more volume is found when price went downwards, yet price went up in these 5 minutes.
-> This is the heart of our publication, when this divergence occurs, you can see a barcolor changement:
• orange: when price went up, but LTF Volume was mainly in a downward direction.
• blue: when price went down, but LTF Volume was mainly in an upwards direction.
When we split the green "up volume" into "up" and "neutral", the difference is even higher
(here "neutral volume" is colored grey):
(ΔV = -12.76; "up" - "down")
🔶 CONCEPTS
bullishBear = current bar is red but LTF volume is in upward direction -> blue bar
bearishBull = current bar is green but LTF volume is in downward direction -> orange bar
🔹 Potential positioning - forming of Trigger-line
When not in position, the script will wait for a divergence between price and volume direction. When found, a Trigger-line will appear:
• at high when a blue bar appears ( bullishBear ).
• at low when an orange bar appears ( bearishBull ).
Next step is when the Trigger-line is broken by close or high/low (settings: Trigger )
Here, the closing price went under the grey Trigger-line -> bearish position:
🔹 Trailing Stop-line
When the Trigger-line is broken, the Trailing Stop-line (TS-line) will start:
• low when bullish position
• high when bearish position
You can choose (settings -> Trigger -> Close or H/L ) whether close price or high/low should break the Trigger-line
When alerts are enabled ("Any alert() function call"), you'll get the following message:
• ' signal up ' when bullish position
• ' signal down' when bearish position
After that, the TS-line will be adjusted when:
• a blue bullishBear bar appears when in bullish position -> lowest of {low , previous blue bar's high or orange bar's low}
• an orange bearishBull bar appears when in bearish position -> highest of {high, previous blue bar's high or orange bar's low}
When alerts are enabled ("Any alert() function call"), and the TS-line is broken, you'll get the following message:
• ' TS-line broken down ' when out bullish position
• ' TS-line broken up ' when out bearish position
🔹 Reference Point
Default the direction of price will be evaluated by comparing closing price with opening price.
When open and close are the same, you'll get "neutral volume".
You can use "previous close" instead (as in built-in volume indicator) to include gaps.
If close equals open , but close is lower than previous close , it will be regarded as " down volume ",
similar, when close is higher than previous close , it will be regarded as " up volume "
Note, the setting applies for the current timeframe AND Lower timeframe:
Based on: " open " (close - open)
Based on: " previous close " (close - previous close)
🔹 Adjustment
When the TS-line changes, this can be adjusted with a percentage of price , or a multiple of " True Range "
Default (Δ line -> Adjustment - 0)
Δ line -> Adjustment 0.03% (of price)
Δ line -> Mult of TR (10)
🔶 SETTINGS
🔹 LTF: choose your Lower TimeFrame: 1S (seconds), 5S, 10S, 15S, 30S, 1 minute)
🔹 Trigger: Choose the trigger for breaking the Trigger-line ; close or H/L (high when bullish position, low when bearish position)
🔹 Δ line ( Trailing Stop-line ): add/subtract an adjustment when the TS-line changes ( default: Adjustment ):
• Adjustment ( default: 0 ): add/subtract an extra % of price
• Mult of TR : add/subtract a multiple of True Range
🔹 Based on: compare closing price against:
• open
• previous close
🔹 "Neutral-Volume" is considered "Up-Volume" : this setting will dictate whether nV is considered as green 'buy' volume or not.
🔶 CONSIDERATIONS
🔹 The lowest LTF (1S) will give you more detail and will get data close to tick data.
However, a maximum of 100,000 intrabars can be used in calculations .
This means on the daily chart you won't see anything since 1 day ~ 86400 seconds. (just over 1 bar)
-> choose a lower chart timeframe, or choose a higher LTF (5S, 10S, ... 1 minute)
🔹 Always choose a LTF lower than the current chart timeframe.
🔹 Pine Script™ code using this request.security_lower_tf() may calculate differently on historical and real-time bars, leading to repainting .
Realtime Delta Volume Action [LucF]█ OVERVIEW
This indicator displays on-chart, realtime, delta volume and delta ticks information for each bar. It aims to provide traders who trade price action on small timeframes with volume and tick information gathered as updates come in the chart's feed. It builds its own candles, which are optimized to display volume delta information. It only works in realtime.
█ WARNING
This script is intended for traders who can already profitably trade discretionary on small timeframes. The high cost in fees and the excitement of trading at small timeframes have ruined many newcomers to trading. While trading at small timeframes can work magic for adrenaline junkies in search of thrills rather than profits, I DO NOT recommend it to most traders. Only seasoned discretionary traders able to factor in the relatively high cost of such a trading practice can ever hope to take money out of markets in that type of environment, and I would venture they account for an infinitesimal percentage of traders. If you are a newcomer to trading, AVOID THIS TOOL AT ALL COSTS — unless you are interested in experimenting with the interpretation of volume delta combined with price action. No tool currently available on TradingView provides this type of close monitoring of volume delta information, but if you are not already trading small timeframes profitably, please do not let yourself become convinced that it is the missing piece you needed. Avoid becoming a sucker who only contributes by providing liquidity to markets.
The information calculated by the indicator cannot be saved on charts, nor can it be recalculated from historical bars.
If you refresh the chart or restart the script, the accumulated information will be lost.
█ FEATURES
Key values
The script displays the following key values:
• Above the bar: ticks delta (DT), the total ticks for the bar, the percentage of total ticks that DT represents (DT%)
• Below the bar: volume delta (DV), the total volume for the bar, the percentage of total volume that DV represents (DV%).
Candles
Candles are composed of four components:
1. A top shaped like this: ┴, and a bottom shaped like this: ┬ (picture a normal Japanese candle without a body outline; the values used are the same).
2. The candle bodies are filled with the bull/bear color representing the polarity of DV. The intensity of the body's color is determined by the DV% value.
When DV% is 100, the intensity of the fill is brightest. This plays well in interpreting the body colors, as the smaller, less significant DV% values will produce less vivid colors.
3. The bright-colored borders of the candle bodies occur on "strong bars", i.e., bars meeting the criteria selected in the script's inputs, which you can configure.
4. The POC line is a small horizontal line that appears to the left of the candle. It is the volume-weighted average of all price updates during the bar.
Calculations
This script monitors each realtime update of the chart's feed. It first determines if price has moved up or down since the last update. The polarity of the price change, in turn, determines the polarity of the volume and tick for that specific update. If price does not move between consecutive updates, then the last known polarity is used. Using this method, we can calculate a running volume delta and ticks delta for the bar, which becomes the bar's final delta values when the bar closes (you can inspect values of elapsed realtime bars in the Data Window or the indicator's values). Note that these values will all reset if the script re-executes because of a change in inputs or a chart refresh.
While this method of calculating is not perfect, it is by far the most precise way of calculating volume delta available on TradingView at the moment. Calculating more precise results would require scripts to have access to tick data from any chart timeframe. Charts at seconds timeframes do use exchange/broker ticks when the feeds you are using allow for it, and this indicator will run on them, but tick data is not yet available from higher timeframes. Also, note that the method used in this script is far superior to the intrabar inspection technique used on historical bars in my other "Delta Volume" indicators. This is because volume and ticks delta here are calculated from many more realtime updates than the available intrabars in history. Unfortunately, the calculation method used here cannot be used on historical bars, where intrabar inspection remains, in my opinion, the optimal method.
Inputs
The script's inputs provide many ways to personalize all the components: what is displayed, the colors used to display the information, and the marker conditions. Tooltips provide details for many of the inputs; I leave their exploration to you.
Markers
Markers provide a way for you to identify the points of interest of your choice on the chart. You control the set of conditions that trigger each of the five available markers.
You select conditions by entering, in the field for each marker, the number of each condition you want to include, separated by a comma. The conditions are:
1 — The bar's polarity is up/dn.
2 — `close` rises/falls ("rises" means it is higher than its value on the previous bar).
3 — DV's polarity is +/–.
4 — DV% rises (↕).
5 — POC rises/falls.
6 — The quantity of realtime updates rises (↕).
7 — DV > limit (You specify the limit in the inputs. Since DV can be +/–, DV– must be less than `–limit` for a short marker).
8 — DV% > limit (↕).
9 — DV+ rises for a long marker, DV– falls for a short.
10 — Consecutive DV+/DV– on two bars.
11 — Total volume rises (↕).
12 — DT's polarity is +/–.
13 — DT% rises (↕).
14 — DT+ rises for a long marker, DT– falls for a short.
Conditions showing the (↕) symbol do not have symmetrical states; they act more like filters. If you only include condition 4 in a marker's setup, for example, both long and short markers will trigger on bars where DV% rises. To trigger only long or short markers, you must add a condition providing directional differentiation, such as conditions 1 or 2. Accordingly, you would enter "1,4" or "2,4".
For a marker to trigger, ALL the conditions you specified for it must be met. Long markers appear on the chart as "Mx▲" signs under the values displayed below candles. Short markers display "Mx▼" over the number of updates displayed above candles. The marker's number will replace the "x" in "Mx▲". The script loads with five markers that will not trigger because no conditions are associated with them. To activate markers, you will need to select and enter the set of conditions you require for each one.
Alerts
You can configure alerts on this script. They will trigger whenever one of the configured markers triggers. Alerts do not repaint, so they trigger at the bar's close—which is also when the markers will appear.
█ HOW TO USE IT
As a rule, I do not prescribe expected use of my indicators, as traders have proved to be much more creative than me in using them. Additionally, I tend to think that if you expect detailed recommendations from me to be able to use my indicators, it's a sign you are in a precarious situation and should go back to the drawing board and master the necessary basics that will allow you to explore and decide for yourself if my indicators can be useful to you, and how you will use them. I will make an exception for this thing, as it presents fairly novel information. I will use simple logic to surmise potential uses, as contrary to most of my other indicators, I have NOT used this one to actually trade. Markets have a way of throwing wrenches in our seemingly bullet-proof rationalizing, so drive cautiously and please forgive me if the pointers I share here don't pan out.
The first thing to do is to disable your normal bars. You can do this by clicking on the eye icon that appears when you hover over the symbol's name in the upper-left corner of your chart.
The absolute value and polarity of DV mean little without perspective; that's why I include both total volume for the bar and the percentage that DV represents of that total volume. I interpret a low DV% value as indecision. If you share that opinion, you could, let's say, configure one of the markers on "DV% > 80%", for example (to do so you would enter "8" in the condition field of any marker, and "80" in the limit field for condition 8, below the marker conditions).
I also like to analyze price action on the bar with DV%. Small DV% values should often produce small candle bodies. If a small DV% value occurs on a bar with much movement and high volume, I'm thinking "tough battle with potential explosive power when one side wins". Conversely, large bodies with high DV% mean that large volume is breaching through multiple levels, or that nobody is suddenly willing to take the other side of a normal volume of trades.
I find the POC lines really interesting. First, they tell us the price point where the most significant action (taking into account both price occurrences AND volume) during the bar occurred. Second, they can be useful when compared against past values. Third, their color helps us in figuring out which ones are the most significant. Unsurprisingly, bunches of orange POCs tend to appear in consolidation zones, in pauses, and before reversals. It may be useful to often focus more on POC progression than on `close` values. This is not to say that OHLC values are not useful; looking, as is customary, for higher highs or lower lows, or for repeated tests of precise levels can of course still be useful. I do like how POCs add another dimension to chart readings.
What should you do with the ticks delta above bars? Old-time ticker tape readers paid attention to the sounds coming from it (the "ticker" moniker actually comes from the sound they made). They knew activity was picking up when the frequency of the "ticks" increased. My thinking is that the total number of ticks will help you in the same way, since increasing updates usually mean growing interest—and thus perhaps price movement, as increasing volatility or volume would lead us to surmise. Ticks delta can help you figure out when proportionally large, random orders come in from traders with other perspectives than the short-term price action you are typically working with when you use this tool. Just as volume delta, ticks delta are one more informational component that can help you confirm convergence when building your opinions on price action.
What are strong bars? They are an attempt to identify significance. They are like a default marker, except that instead of displaying "Mx▲/▼" below/above the bar, the candle's body is outlined in bright bull/bear color when one is detected. Strong bars require a respectable amount of conditions to be met (you can see and re-configure them in the inputs). Think of them as pushes rather than indications of an upcoming, strong and multi-bar move. Pushes do, for sure, often occur at the beginning of strong trends. You will often see a few strong bars occur at 2-3 bar intervals at the beginning or middle of trends. But they also tend to occur at tops/bottoms, which makes their interpretation problematic. Another pattern that you will see quite frequently is a final strong bar in the direction of the trend, followed a few bars later by another strong bar in the reverse direction. My summary analyses seemed to indicate these were perhaps good points where one could make a bet on an early, risky reversal entry.
The last piece of information displayed by the indicator is the color of the candle bodies. Three possible colors are used. Bull/bear is determined by the polarity of DV, but only when the bar's polarity matches that of DV. When it doesn't, the color is the divergence color (orange, by default). Whichever color is used for the body, its intensity is determined by the DV% value. Maximum intensity occurs when DV%=100, so the more significant DV% values generate more noticeable colors. Body colors can be useful when looking to confirm the convergence of other components. The visual effect this creates hopefully makes it easier to detect patterns on the chart.
One obvious methodology that comes to mind to trade with this tool would be to use another indicator like Technical Ratings at a higher timeframe to identify the larger context's trend, and then use this tool to identify entries for short-term trades in that direction.
█ NOTES AND RAMBLINGS
Instant Calculations
This indicator uses instant values calculated on the bar only. No moving averages or calculations involving historical periods are used. The only exception to this rule is in some of the marker conditions like "Two consecutive DV+ values", where information from the previous bar is used.
Trading Small vs Long Timeframes
I never trade discretionary at the 5sec–5min timeframes this indicator was designed to be used with; I trade discretionary at 1D, 1W and 1M timeframes, and let systems trade at smaller timeframes. The higher the timeframe you trade at, the fewer fees you will pay because you trade less and are not churning trading volume, as is inevitable at smaller timeframes. Trading at higher timeframes is also a good way to gain an instant edge on most of the trading crowd that has its nose to the ground and often tends to forget the big picture. It also makes for a much less demanding trading practice, where you have lots of time to research and build your long-term opinions on potential future outcomes. While the future is always uncertain, I believe trades riding on long-term trends have stronger underlying support from the reality outside markets.
To traders who will ask why I publish an indicator designed for small timeframes, let me say that my main purpose here is to showcase what can be done with Pine. I often see comments by coders who are obviously not aware of what Pine is capable of in 2021. Since its humble beginnings seven years ago, Pine has grown and become a serious programming language. TradingView's growing popularity and its ongoing commitment to keep Pine accessible to newcomers to programming is gradually making Pine more and more of a standard in indicator and strategy programming. The technical barriers to entry for traders interested in owning their trading practice by developing their personal tools to trade have never been so low. I am also publishing this script because I value volume delta information, and I present here what I think is an original way of analyzing it.
Performance
The script puts a heavy load on the Pine runtime and the charting engine. After running the script for a while, you will often notice your chart becoming less responsive, and your chart tab can take longer to activate when you go back to it after using other tabs. That is the reason I encourage you to set the number of historical values displayed on bars to the minimum that meets your needs. When your chart becomes less responsive because the script has been running on it for many hours, refreshing the browser tab will restart everything and bring the chart's speed back up. You will then lose the information displayed on elapsed bars.
Neutral Volume
This script represents a departure from the way I have previously calculated volume delta in my scripts. I used the notion of "neutral volume" when inspecting intrabar timeframes, for bars where price did not move. No longer. While this had little impact when using intrabar inspection because the minimum usable timeframe was 1min (where bars with zero movement are relatively infrequent), a more precise way was required to handle realtime updates, where multiple consecutive prices often have the same value. This will usually happen whenever orders are unable to move across the bid/ask levels, either because of slow action or because a large-volume bid/ask level is taking time to breach. In either case, the proper way to calculate the polarity of volume delta for those updates is to use the last known polarity, which is how I calculate now.
The Order Book
Without access to the order book's levels (the depth of market), we are limited to analyzing transactions that come in the TradingView feed for the chart. That does not mean the volume delta information calculated this way is irrelevant; on the contrary, much of the information calculated here is not available in trading consoles supplied by exchanges/brokers. Yet it's important to realize that without access to the order book, you are forfeiting the valuable information that can be gleaned from it. The order book's levels are always in movement, of course, and some of the information they contain is mere posturing, i.e., attempts to influence the behavior of other players in the market by traders/systems who will often remove their orders when price comes near their order levels. Nonetheless, the order book is an essential tool for serious traders operating at intraday timeframes. It can be used to time entries/exits, to explain the causes of particular price movements, to determine optimal stop levels, to get to know the traders/systems you are betting against (they tend to exhibit behavioral patterns only recognizable through the order book), etc. This tool in no way makes the order book less useful; I encourage all intraday traders to become familiar with it and avoid trading without one.
Zindarra Multi Alerts Advanced (8 Symbols, 8 Levels) by RRBZindarra Multi Alerts Advanced by RRB by RagingRocketBull 2018
Version 1.0
This indicator lets you configure multiple alert levels for several assets. Zindarra Multi Alerts Advanced supports 8 symbols with 8 custom alert levels.
You can have an M:M relationship betweeen symbols and levels, for example:
- 4 symbols each boxed by 2 alerts above/below the price
- 3 symbols with 1 alert each
- 2 symbols, 1st with 2 alerts, 2nd - with 6 alerts
- 1 symbol with 8 alerts etc
There are several versions: Simple, Pro, Advanced and Ultimate. This is the Advanced version. The Differences are listed below.
- Simple: 10 Alert Levels, 1 plot mode, alert type: cross, no colors/triggered alerts
- Pro: 9 Alert Levels, 2 plot modes: plot/price line, alert type: cross, +change/swap colors, +hide/disable triggered alerts, 2 penetration modes (close, high/low), trigger on confirmed close
- Advanced: 8 Symbols/Tickers, 8 Alert Levels, +alert types: cross up/cross down, no color change. Display sources as lines/candles, normalize, scale/shift independently
- Ultimate: 5 Symbols/Tickers, 8 Alert Levels, +alert types: volume/price %/abs change, volume/ema/time cross
Features:
- 8 custom symbols, symbols:levels = M:M
- 8 custom alert levels with labels. For each alert there must be a corresponding non-empty symbol (can be a duplicate)
- alert types: cross/cross up/cross down
- normalize symbols (and alert levels) to 100% to compare,
- scale and shift each symbol (and alert levels) to position on a chart independently
- 1 alert levels plot mode: plot
- 2 symbol types: line/candles
- colorize symbol candles
- high/low or close level penetration modes
- show/hide levels/labels
- keep or auto disable triggered alerts
- trigger alerts only after a confirmed close
You will see all symbols on a single chart at the same time with their corresponding alert levels. From this chart you can manage all alerts configured for multiple assets.
Although TradingView has 2 percentage scale modes (Percent, Indexed to 100), somehow they still fail to be usefull when comparing multiple assets.
This indicator lets you normalize all symbols to 100% making a direct single scale comparison between assets with vastly different price levels possible.
All alert levels will be normalized as well.
TradingView does not let you move the plots attached to left scale. When scaled they all remain stuck in the center and can't be moved vertically or relative to each other.
This indicator lets you position all symbols independently using individual scale and shift settings. For example, you can:
- split your screen in 3 horiz areas and have a symbol in each of them without overlapping or
- have several partially overlapping assets with different scale each or
- have all assets fully overlapping and normalized to the same 100% scale
You have to manually create an alert in Manage Alerts Panel and configure it to use with this indicator.
Free accounts are limited to only 1 alert slot and this indicator will take it (any existing alerts must be disabled/stopped).
Once the alert is configured, the indicator can be removed from chart to free a slot for another indicator, but you won't see the alert levels.
Usage:
1. attach indicator to a chart
2. define alert levels in UI settings
3. in TradingView's Manage Alerts panel on the right:
- for free accounts: disable/stop all existing alerts, you are limited to 1 alert slot only. Otherwise you won't be able to save.
- create a new Alert:
- select 'Multi Alerts' indicator name in the Condition dropdown box, leave Level 1 and Multi Alerts Cross as default options
- select 'Once Per Bar' or 'Once Per Minute' instead of 'Only Once' to trigger the alert multiple times
5. click Save. Your 9 alerts are enabled now.
Change Settings:
1. change levels/settings in UI. Any changes will also reset already triggered levels visibility.
2. in Manage Alerts panel:
- open/edit the alert you created
- select new instance of 'Multi Alerts' indicator name in the Condition dropdown box (appears at the bottom)
- check the Condition dropdown again - a single instance should remain selected.
3. click Save. Your alert settings are updated.
Notes on using alerts:
- attaching this indicator to a chart and configuring alert levels will not automatically enable the alerts - you have to manually create/configure a new alert in the Alerts Panel
- removing this indicator from chart will not disable the alerts, you have to manually disable the alert you created in the Alerts Panel
- your alert in the Alerts Panel uses another instance (copy) of indicator/settings. Any changes won't affect the alert. You have to manually update the alert every time you change any settings in the indicator.
- recompiling and attaching your own version of indicator will require creating a new Alert (delete the old one).
- alerts are designed to work in realtime. In replay mode you will see triggered alert levels hiding/changing colors but there will be no system alert messages. It's best to test the indicator in realtime on M1 (1 min) chart
- you will only see 1 system alert per bar/60 sec when multiple alert levels are crossed with a single bar or across several symbols at the same time. However all of these levels will hide in the indicator as expected.
- you can only see the alert levels when the indicator is attached to chart, they are not shown by the system alert.
- For source=high/low a directional level penetration is used automatically (crossunder/low and crossover/high). For source=close a standard bidirectional cross is used unless another alert type is specified.
- normalization breaks/distorts alert levels and symbol price - this is normal and is expected. To view the real price of alert levels uncheck normalize - the first 8 outputs are alert levels. Unnormalized levels are straight lines.
- you will see alerts from all symbols in the system alert message box of the current symbol - a bit confusing, but there's no workaround, you can't have a customized alert message for each symbol/level
- many tickers as arguments can stretch/break TradingView's Create New Alert dialog but it's still possible to push all required buttons and Save.
- duplicate symbols will be displayed by default. You can manually hide duplicates using show/hide flags.
- empty tickers (and corresponding alerts) are essentially disabled
1. uses plot*, cross*, barssince, highest, security, alertcondition
Low Volume Pullback [TraderPost]ACKAGE 1: TraderPost Edition (Tradovate)
1. The Strategy Guide
Strategy: Low Volume Pullback Detector (VPA)
Concept: Identifies trend continuation trades by looking for "weak" pullbacks against the main trend where volume dries up (institutions are not selling).
Trend Filter: Only trades above/below the 50 EMA.
The Trigger: Enters when price breaks out of the weak pullback structure.
Automation:
Smart Payloads: Automatically calculates Stop Loss and Take Profit prices and sends them to TraderPost.
Cooldown: Prevents over-trading by sleeping for 10 mins after a signal.
Entry Timing: You can choose to enter immediately on the signal candle close or wait for an extra confirmation candle.
TraderPost Setup Steps
Add Script: Paste the code above into the Pine Editor and click "Add to Chart".
Get Webhook: Go to your TraderPost Dashboard > Webhooks and copy your URL.
Create Alert:
In TradingView, create a new Alert.
Condition: Select Low Volume Pullback .
Trigger: Select "Any function call".
Webhook: Paste your TraderPost URL in the Webhook box.
Message: LEAVE EMPTY (The script handles this).
Click Create.
ChromaFlows Momentum Index | LUPENIndicator Guide: ChromaFlows Momentum Index
Overview
The ChromaFlows Momentum Index is a next-generation momentum oscillator designed to filter out market noise and visualize pure trend strength. Unlike traditional indicators that often give conflicting signals, ChromaFlows uses a Consensus Algorithm. It simultaneously analyzes three distinct engines—RSI, Fast Stochastic, and Slow Stochastic—and only lights up when they all agree on the market direction.
The result is a fluid, glowing "Wave" that provides an immediate visual read on market sentiment:
Green Glow: Strong Bullish Consensus (Safe to buy/hold).
Red Glow: Strong Bearish Consensus (Safe to sell/short).
Gray/Neutral: Indecision or Choppy Market (Stay out or tread carefully).
Key Visual Components
1. The Gradient Wave (Main Oscillator)
This is the heartbeat of the indicator. It is usually based on the Slow Stochastic (customizable in settings) but its color is determined by the Consensus Logic.
How to read it: The higher the wave, the more overbought; the lower, the more oversold. However, pay attention to the Glow Intensity. A bright, solid color indicates all underlying indicators are aligned.
2. The SMI Line (Gold Line)
Overlaid on the wave is the SMI (Stochastic Momentum Index) Blau line. This acts as a fast-moving "Signal Line".
Usage: Watch for how this line interacts with the main wave. It leads price action and often signals reversals before they happen.
3. Signal Arrows (Triangles on the Wave)
▲ Cyan Triangle: SMI Crossover UP. This occurs when the Main Wave crosses above the SMI Signal line. This is a potential Long Entry.
▼ Magenta Triangle: SMI Crossover DOWN. This occurs when the Main Wave crosses below the SMI Signal line. This is a potential Short Entry.
4. Hull Trend Markers (Circles/Shapes at Edges)
Located at the very top and bottom of the indicator panel are the Hull Moving Average (HMA) filters.
Bottom Blue/Green Marker: The longer-term Hull Trend is UP.
Top Orange/Red Marker: The longer-term Hull Trend is DOWN.
How to Trade Strategy
✅ The "Flow" Setup (High Probability)
This strategy focuses on taking trades with the momentum consensus.
Wait for the Glow: Look for the Wave to turn Neon Green (Bullish) or Neon Red (Bearish). This confirms momentum is present.
Check the Filter: Ensure the Hull Trend Marker (at the top/bottom) matches the wave color (e.g., Blue marker + Green Wave).
The Trigger: Enter when a Triangle Signal Arrow appears in the direction of the color.
Example: Wave is Green + Cyan Triangle appears = STRONG BUY.
⚠️ The "Reversal" Setup (Aggressive)
Divergence: Price makes a new high, but the ChromaFlows Wave makes a lower high.
Color Shift: The wave changes from Green to Gray (Neutral), indicating momentum is dying.
The Trigger: Wait for a Magenta Triangle (Cross Down) to confirm the reversal.
⛔ The "No-Trade" Zone
When the Wave is Gray and hovering near the zero line, the markets are ranging or the indicators are conflicting. It is statistically safer to stand aside until the "ChromaFlow" (Green or Red color) returns.
Settings Configuration
Wave Source: Choose which oscillator drives the main wave (Default: Stochastic_2).
Consensus Sensitivity: Adjust the periods of the RSI and Stochastics to make the "Glow" appear faster (more signals) or slower (more filtering).
Visuals: All colors are fully customizable via Hex codes to match your chart theme.
MACD-v Bullish/Bearish DivergenceMACD-v Bullish/Bearish Divergence
Overview This indicator is a specialized divergence detector based on the MACD-v (Volatility Normalized Momentum) concept. Unlike standard MACD which uses absolute price differences, MACD-v normalizes values against volatility (ATR), allowing for fixed, universal Overbought/Oversold thresholds across all assets and timeframes.
Recommendation: This script is highly effective when paired with the original MACD-v by Alex Spiroglou. While this indicator focuses on identifying and visualizing divergence entries, using the original oscillator alongside it provides the best visual context for the overall momentum structure.
How It Works
This tool uses a dual-signal mechanism (Raw Line + Signal Smooth) to identify specific divergence setups:
Setup (Yellow/Blue Dots): Identifies when price momentum has extended significantly into extreme zones (Overbought/Oversold).
Trigger (Red/Green Dots): Fires when price fails to make a new momentum extreme despite price action (classic divergence/failure swing).
Active State (Background Color): Once a trigger fires, the background highlights (Red for Bearish, Green for Bullish) to indicate an active divergence play.
Reset (Exit): The signal state clears when momentum returns to the neutral "safe zone."
Important Note: Momentum Washout
The colored background persists as long as the divergence trade remains valid. Traders should note the concept of "Momentum Washout":
Signal End: The background color turns off when the MACD returns to the neutral range, indicating the primary high-velocity impulse is over.
Performance Continuation: Significant positive or negative price performance can often continue even after the background signal ends. This period allows the remaining momentum to "wash out" or drift before the next major impulse.
Strategy Tip: The indicator is designed to capture the high-volatility portion of the reversal. Do not assume the end of the signal is the absolute top or bottom of the trend; it simply marks the normalization of momentum.
Strategy Recommendation: Multi-Timeframe Analysis
Divergence signals are most powerful when confirmed across timeframes. It is highly recommended to look for alignment before taking a trade:
Trend Confirmation: If you see a signal on a lower timeframe (e.g., 5m or 15m), check a higher timeframe (e.g., 1H or 4H). A bullish divergence on the 5m is significantly more reliable if the 1H momentum is already bullish or oversold.
Signal Stacking: Valid signals often appear sequentially—first on the 1m, then the 5m, and finally the 15m. Waiting for this "cascade" can filter out false reversals.
Visual Guide
🔵 Blue Dot: Bullish Divergence Setup (Watch for entry).
🟢 Green Dot: Bullish Divergence Trigger (Long Entry).
🟡 Yellow Dot: Bearish Divergence Setup (Watch for entry).
🔴 Red Dot: Bearish Divergence Trigger (Short Entry).
Background Color: Indicates an active trade (Red = Bearish / Green = Bullish).
Settings
Auto-Detect: Automatically switches between Scalping settings (tighter thresholds) for low timeframes and Swing settings for high timeframes.
Strict Invalidation: If enabled, cancels a setup if momentum pushes too far in the opposite direction before triggering.
Active Signal Multiplier: Dynamically smooths the signal line only when a trade is active to prevent premature exits during choppy corrections.
Disclaimer: This tool is for educational purposes and trend analysis only. Always manage your risk appropriately.
cd_VW_Cx IMPROVED - Quant VWAP System: Regime, Magnets & Z-ScoQuant VWAP System: Regime, Magnets & Z-Score Matrix
This indicator is a comprehensive Quantitative Trading System designed to move beyond simple support and resistance. Instead of static lines, it uses Statistical Probability (Z-Score) and Standard Deviation to define the current market regime, identify institutional value zones, and project high-probability liquidity targets.
It is engineered for Day Traders and Scalpers (Crypto & Futures) who need to know if the market is Trending, Ranging, or preparing for a Breakout.
1. The "Regime" System (Standard Deviation Bands)
The core engine anchors a VWAP (Volume Weighted Average Price) to your chosen timeframe (Daily, Weekly, or Monthly) and projects volatility bands based on market variance.
The Trend Zone (Inner Band / 1.0 SD): This is the "Fair Value" zone. In a healthy trend, price will pull back into this zone and hold. A hold here signals a high-probability continuation (Trend Following).
The Reversion Zone (Outer Band / 2.0 SD): This represents a statistical extreme. Price rarely sustains movement beyond 2 Standard Deviations without a reversion. A touch of this band signals "Overbought" or "Oversold" conditions.
2. Liquidity Magnets (Virgin VWAPs)
The script automatically tracks "Unvisited VWAPs" from previous sessions. These are price levels where significant volume occurred but have not yet been re-tested.
The Logic: Algorithms often target these "open loops." The script visualizes them as Blue Dashed Lines with price tags.
Smart Scaling (Anti-Scrunch): Includes a custom "Ghost Engine" that automatically hides or "ghosts" magnets that are too far away. This prevents your chart from being squashed (scrunched) on lower timeframes, keeping your candles perfectly readable while still tracking targets in the background.
3. The Quant Matrix (Dashboard)
A real-time Heads-Up Display (HUD) that interprets the data for you:
Regime: Detects Volatility Squeezes. If the bands compress, it signals "⚠ SQUEEZE", warning you to stop mean-reversion trading and prepare for an explosive breakout.
Bias: Color-coded Trend Direction (Bullish/Bearish) based on VWAP slope.
Signal: actionable text prompts such as "BUY DIP" (Trend Following), "FADE EXT" (Mean Reversion), or "PREP BREAK" (Squeeze).
4. Visual Intelligence
Bold Day Separators: Clear, vertical dotted dividers with Date Stamps to instantly separate trading sessions.
Dynamic Labels: Floating labels on the right axis identify exactly which deviation level is which, preventing chart confusion.
How to Use
Strategy A: The Trend Pullback (continuation)
Check Matrix: Ensure Bias is BULLISH (Green).
Wait: Allow price to pull back into the Inner Band (Dark Green Zone).
Trigger: If price holds the Center VWAP or the -1.0 SD line, enter Long.
Target: The next Liquidity Magnet above or the +2.0 SD band.
Strategy B: The Reversion Fade (Counter-Trend)
Check Matrix: Ensure price is labeled "EXTREME" or Signal says "FADE EXT".
Trigger: Price touches or pierces the Outer Band (2.0 SD).
Action: Enter counter-trend (Short) with a target back to the Center VWAP (Mean Reversion).
Strategy C: The Magnet Target
Identify a "MAGNET" line (Blue Dashed) near current price.
These act as high-probability Take Profit levels. Price will often rush to these levels to "close the loop" before reversing.
Settings
Anchor: Daily (default), Weekly, or Monthly.
Magnet Focus Range: Adjusts how aggressively the script hides distant magnets to fix chart scaling (Default: 2%).
Visuals: Fully customizable colors, label sizes, and dashboard position.
SMT Divergence [Kodexius]SMT Divergence is a correlation-based divergence detector built around the Smart Money Technique concept: when two normally correlated instruments should be making similar swing progress, but one prints a new extreme while the other fails to confirm it. This “disagreement” can be a valuable contextual signal around liquidity runs, distribution phases, and potential reversal or continuation points.
The script compares the chart symbol (primary) with a user-selected comparison symbol (for example BTC vs ETH, ES vs NQ, EUR/USD vs GBP/USD) and automatically scans both instruments for confirmed swing highs and swing lows using pivot logic. Once swings are established, it checks for classic SMT conditions:
Primary makes a new swing extreme while the comparison symbol forms a non-confirming swing .
To support a wider range of markets, the indicator includes an Inverse Correlation option for pairs that typically move opposite to each other (for example DXY vs EUR/USD). With this enabled, the divergence rules are logically flipped so that the script still detects “non-confirmation” in a way that is consistent with the pair’s relationship.
The indicator is designed to be readable and actionable. It can draw divergence labels directly on the main chart, connect the relevant swing points with lines, show a compact information table with the last signal and settings, and optionally render the comparison symbol as a mini candle chart in the indicator pane for quick visual validation.
🔹 Features
🔸 Two-Symbol SMT Analysis (Primary vs Compare)
Select any comparison symbol to evaluate correlation structure and divergence. The script fetches the comparison OHLC data using the current chart timeframe to keep both series aligned for analysis.
🔸 Inverse Correlation Mode
For inversely correlated pairs, enable “Inverse Correlation” so the script interprets confirmation appropriately (for example, a higher low on the comparison instrument might be expected to correspond to a lower low on the primary, depending on the relationship). This helps avoid false conclusions when the pair naturally moves opposite.
🔸 Pivot-Based Swing with Adjustable Sensitivity
Swings are detected using confirmed pivots (left bars and right bars). This provides cleaner structural swing points compared with raw candle-to-candle comparisons, and it lets you control sensitivity for different market conditions and timeframes. The script also limits stored swing history to keep performance stable.
🔸 Flexible Detection Mode: Time Matched or Independent Swings
You can choose how swings are paired across instruments:
Time Matched searches for a comparison swing that occurred at the same pivot time as the primary swing.
Independent Swings compares each symbol’s own last two swings without requiring an exact time match.
🔸 Range Control and Noise Filtering
To reduce weak or irrelevant signals:
“Max Bars Between Swings” ensures the two swings being compared are close enough in structure to be meaningful.
“Min Price Diff (%)” can require a minimum percentage change between the primary’s last two swing prices to confirm the move is significant.
🔸 Clear Visual Output with Tooltips
When a divergence is detected, the script can print a label (“SMT”) with bullish or bearish styling and a tooltip that includes the symbol pair and the primary swing price for quick context.
🔸 Divergence Lines for Context
Optional lines connect the relevant swing points, making it easier to see the exact structure that triggered the signal. One line can be drawn on the main chart and another in the indicator pane for the comparison series.
🔸 Info Table (At a Glance)
A compact table can display the active symbols, correlation mode, total divergences stored, and the most recent signal type.
🔸 Alerts Included
Built-in alert conditions are provided for bullish SMT, bearish SMT, and any SMT event so you can automate notifications without editing the code.
🔸 Optional Comparison Candle Panel
If enabled, the indicator can plot the comparison symbol as candles in the indicator pane. This is useful for confirming whether the divergence is happening around major levels, consolidations, or impulsive legs on the secondary instrument.
🔹 Calculations
This section summarizes the core logic used by the script.
1. Data Synchronization (Comparison Symbol)
The comparison instrument is requested on the chart’s current timeframe so swing calculations are performed consistently:
=
request.security(compareSymbolInput, timeframe.period, )
This ensures pivots and swing times are derived from the same bar cadence as the primary chart.
2. Swing Detection via Confirmed Pivots
Swings are detected using pivot logic with user-defined left and right bars:
primaryPivotHigh = ta.pivothigh(high, pivotLeftBars, pivotRightBars)
primaryPivotLow = ta.pivotlow(low, pivotLeftBars, pivotRightBars)
Because pivots are confirmed only after the “right bars” have closed, the script stores each swing using an offset so the swing’s bar index and time reflect where the pivot actually occurred, not where it was confirmed.
3. Swing Storage and Retrieval
Both symbols maintain arrays of SwingPoint objects. Each new swing is pushed into the array, and older swings are dropped once the array exceeds the configured maximum. This makes the divergence engine predictable and prevents uncontrolled memory growth.
The script then retrieves the last and previous swing highs and lows (per symbol) to evaluate structure.
4. Matching Logic (Time Matched vs Independent)
When “Time Matched” is selected, the script searches the comparison swing array for a pivot that occurred at the exact same timestamp as the primary swing. When “Independent Swings” is selected, it simply uses the comparison symbol’s last two swings of the same type.
5. Bullish SMT Condition (LL vs HL)
A bullish SMT event is defined as:
Primary forms a lower low (last low < previous low)
Comparison forms a higher low (last low > previous low)
If inverse correlation is enabled, the comparison condition flips to maintain logical confirmation rules
The two primary swings must be within the configured bar distance window
Optional minimum percentage difference must be satisfied
A simple anti duplication rule prevents repeated triggers on the same structure
These checks are implemented directly in the bullish detection block.
6. Bearish SMT Condition (HH vs LH)
A bearish SMT event is defined as:
Primary forms a higher high (last high > previous high)
Comparison forms a lower high (last high < previous high)
Inverse correlation flips the comparison rule
Range checks, minimum difference filtering, and duplicate protection apply similarly
These checks are implemented in the bearish detection block.
7. Percentage Difference Filter
The optional “Min Price Diff (%)” filter measures the relative distance between the last two primary swing prices. This prevents very small structural changes from being treated as valid SMT signals.
priceDiffPerc = math.abs(lastSwing.price - prevSwing.price) / prevSwing.price * 100.0
The divergence condition is only allowed to trigger if this value exceeds the user defined threshold.
priceOk = priceDiffPerc >= minPriceDiff
This filter is especially useful on higher timeframes or during low volatility conditions, where micro structure noise can otherwise produce misleading signals.
8. Visualization and Output
When a divergence is confirmed, the script:
Stores the event in a divergence array (limited by “Max Divergences to Display”)
Draws a directional SMT label with a tooltip (optional)
Draws connecting lines using time based coordinates for clean alignment (optional)
It also updates an information table on the last bar only, and exposes alertconditions for automation workflows.
9 EMA Trend-Flow StrategyThis strategy avoids trading inside the noise and waits for Bitcoin to "coil up" before exploding.
1. Chart Setup
Timeframe: 5 Minutes
Bollinger Bands: Length 20, Standard Deviation 2 (Default).
RSI (Relative Strength Index): Length 14.
EMA (Exponential Moving Average): Length 200 (Trend Filter).
2. The Rules
Long Setup (Buy)
The Trend Filter: Price must be above the 200 EMA.
The Squeeze: The Bollinger Bands must visually contract (narrow), indicating volatility is dying down.
The Trigger: A 5m candle closes strongly above the Upper Bollinger Band.
Confirmation: RSI must be rising and above 50 (but ideally not yet "pegged" at 90+).
Short Setup (Sell)
The Trend Filter: Price must be below the 200 EMA.
The Squeeze: The Bollinger Bands contract.
The Trigger: A 5m candle closes strongly below the Lower Bollinger Band.
Confirmation: RSI must be falling and below 50.
Execution Guide
Entry Technique
Don't enter immediately when the candle touches the band. Wait for the candle close.
Why? Bitcoin frequently "wicks" through bands to trap traders (fakeouts) before reversing. A solid close outside the band confirms momentum.
Exit Strategy (Take Profit)
Target 1 (Conservative): Close 50% of the position when price expands to a fixed risk-reward ratio (e.g., 1.5R).
Target 2 (Runner): Keep the remaining position open as long as price "walks the band" (stays outside or touching the outer band). Close the rest when a candle finally closes back inside the Bollinger Bands.
Stop Loss
Placement: Place your Stop Loss (SL) slightly below the Middle Band (the 20 SMA) at the time of entry.
Trailing: As the price moves in your favor, move your SL to trail the Middle Band.
EMA Slope Angle V2 Auto Threshold# EMA Slope Angle Indicator
## Overview
The EMA Slope Angle Indicator visualizes the Exponential Moving Average (EMA) slope as an angle in degrees, providing traders with a clear, quantitative measure of trend strength and direction. The indicator features **automatic threshold calculation based on Gaussian distribution**, making it adaptive to any market and timeframe.
## Key Features
### 🎯 **Automatic Threshold Calculation (NEW!)**
- **Gaussian Distribution-Based**: Automatically calculates optimal thresholds from the 50% interquartile range (IQR) of historical angle data
- **Asset-Adaptive**: Thresholds adjust to each instrument's unique volatility and price characteristics
- **No Manual Tuning Required**: Simply enable "Use Auto Thresholds" and let the indicator optimize itself
### 📊 **Dynamic EMA Coloring**
- **Color Intensity**: EMA line color intensity reflects slope strength
- **Visual Feedback**:
- Green shades for uptrends (darker = stronger)
- Red shades for downtrends (darker = stronger)
- Gray for flat/neutral conditions
### 📈 **Regime Detection**
- **Three Regimes**: RISING, FALLING, and FLAT
- **Smart Classification**: Based on statistical distribution of angles
- **Non-Repainting**: All calculations use confirmed bars only
### 🔔 **Trend-Shift Signals**
- **Visual Arrows**: Automatic signals when transitioning from FLAT to RISING/FALLING
- **Configurable**: Enable/disable signals as needed
- **Reliable**: Only triggers on significant regime changes
### 📋 **KPI Dashboard**
- **Real-Time Metrics**: Current angle, regime, and last signal
- **Auto-Threshold Display**: Shows calculated thresholds when auto-mode is active
- **Statistics**: Optional angle distribution statistics
- **Clean Layout**: Top-right corner, non-intrusive
### 📊 **Angle Statistics (Optional)**
- **Distribution Analysis**: Histogram of angle ranges
- **Dynamic Buckets**: Automatically adjusts to data distribution when auto-mode is enabled
- **Percentage Breakdown**: See how often each angle range occurs
## Settings
### Main Settings
- **EMA Length**: Period for the Exponential Moving Average (default: 50)
- **Slope Lookback Bars**: Number of bars to calculate slope over (default: 5)
### Angle Settings
- **Use Auto Thresholds**: Enable automatic threshold calculation (recommended!)
- **Analysis Period**: Number of bars to analyze for distribution (default: 500)
- **Manual Thresholds**: Flat, Rising, and Falling triggers (used when auto-mode is off)
- **Max Angle for Color Saturation**: Maximum angle for color intensity scaling
### Display Options
- **Colors**: Customize uptrend, downtrend, and flat colors
- **Show Signals**: Enable/disable trend-shift arrows
- **Show Statistics**: Display angle distribution table
- **Show Dashboard**: Toggle KPI dashboard visibility
## How It Works
### Angle Calculation
The indicator calculates the angle between the current EMA value and the EMA value N bars ago:
```
Angle = arctan((EMA_now - EMA_then) / lookback) × 180° / π
```
### Auto-Threshold Calculation
When enabled, the indicator:
1. Analyzes historical angle data over the specified period
2. Calculates mean and standard deviation
3. Determines thresholds based on the 50% interquartile range (IQR):
- **Flat Threshold**: ±0.674σ (middle 50% of data)
- **Rising Trigger**: 75th percentile (mean + 0.674σ)
- **Falling Trigger**: 25th percentile (mean - 0.674σ)
### Regime Classification
- **FLAT**: Angle within ±Flat Threshold
- **RISING**: Angle ≥ Rising Trigger
- **FALLING**: Angle ≤ Falling Trigger
## Use Cases
### Trend Following
- Identify strong trends (high angle values)
- Spot trend reversals (regime changes)
- Filter trades based on trend strength
### Range Trading
- Detect flat/consolidation periods
- Avoid trading during choppy markets
- Enter when regime shifts from FLAT to RISING/FALLING
### Multi-Timeframe Analysis
- Apply to different timeframes for confirmation
- Use higher timeframe for trend direction
- Use lower timeframe for entry timing
## Tips for Best Results
1. **Enable Auto-Thresholds**: Let the indicator adapt to your instrument
2. **Adjust Analysis Period**: Use more bars for stable markets, fewer for volatile ones
3. **Combine with Price Action**: Use regime changes as confirmation, not standalone signals
4. **Multi-Timeframe**: Check higher timeframes for trend context
5. **Backtest First**: Test settings on historical data before live trading
## Technical Details
- **Non-Repainting**: All calculations use `barstate.isconfirmed`
- **Pine Script v6**: Latest version for optimal performance
- **Efficient**: Minimal computational overhead
- **Customizable**: Extensive settings for fine-tuning
## Version History
**v2.0** (Current)
- Added automatic threshold calculation based on Gaussian distribution
- Dynamic bucket adjustment for statistics
- Enhanced dashboard with auto-threshold display
- Improved regime detection using IQR method
**v1.0**
- Initial release with manual thresholds
- Basic EMA coloring
- Trend-shift signals
- KPI dashboard
## Support
For questions, suggestions, or bug reports, please leave a comment or contact the author.
---
**Disclaimer**: This indicator is for educational purposes only. Past performance does not guarantee future results. Always use proper risk management and never risk more than you can afford to lose.
**Keywords**: EMA, slope, angle, trend, automatic thresholds, Gaussian distribution, regime detection, non-repainting, adaptive
Zaka Pro: Clear Structure (HH/LL) + MSS ZonesCertainly! Here is a description of the Pine Script indicator you provided, focusing on its main functions and trading strategy, written in English.
---
## Zaka Pro: Clear Structure (HH/LL) + MSS Zones
This is a technical analysis indicator developed in Pine Script (`//@version=5`) designed to automatically identify and plot key price action structural elements based on the **Zig Zag** method, while incorporating a simplified **Market Structure Shift (MSS)** concept, often used in Smart Money Concepts (SMC) or Wyckoff trading.
### Key Features:
1. **Pivot-Based Structure Identification:**
* The indicator uses the standard **`ta.pivothigh`** and **`ta.pivotlow`** functions, determined by the user-defined `Pivot Length` (`prd`). This forms the foundation of the price "swing" structure.
2. **Structural Labeling (HH/LL/LH/HL):**
* It automatically labels the resulting swing points to clearly show the prevailing trend:
* **HH (Higher High):** Continuation of an uptrend.
* **LL (Lower Low):** Continuation of a downtrend.
* **LH (Lower High):** A potential reversal or weakening of an uptrend.
* **HL (Higher Low):** A potential reversal or weakening of a downtrend.
3. **Zig Zag Plotting:**
* The indicator connects the identified pivot points with a **gray line** to visually represent the market swings.
4. **Market Structure Shift (MSS) Strategy:**
* The core strategy detects a potential **trend reversal** when the price breaks the most recent structural pivot:
* **Buy MSS Trigger:** Detected when the price breaks **above the last High** (`last_high`) while the market was in a confirmed **downtrend** (forming Lower Lows).
* **Sell MSS Trigger:** Detected when the price breaks **below the last Low** (`last_low`) while the market was in a confirmed **uptrend** (forming Higher Highs).
5. **Order Block / Entry Zone Plotting:**
* Upon detection of a confirmed MSS (reversal), the indicator plots a colored **Box** representing a potential re-entry zone:
* **BUY ZONE (Green Box):** Plotted after a Buy MSS (breakout to the upside). The zone is defined by the **High and Low of the two candles preceding the last swing Low** (`ob_low_top`, `ob_low_btm`). This acts as a simplified "Order Block" for potential long entries.
* **SELL ZONE (Red Box):** Plotted after a Sell MSS (breakout to the downside). The zone is defined by the **High and Low of the two candles preceding the last swing High** (`ob_high_top`, `ob_high_btm`). This acts as a simplified "Order Block" for potential short entries.
6. **Alerts:**
* Custom alerts are included to notify the user immediately when a Buy or Sell MSS (Market Structure Shift) is detected.
In summary, the indicator is a visual tool that simplifies price action analysis by drawing structure and highlights potential reversal points (MSS) by painting corresponding re-entry zones (Order Blocks) on the chart.
Money Flow Matrix This comprehensive indicator is a multi-faceted momentum and volume oscillator designed to identify trend strength, potential reversals, and market confluence. It combines a volume-weighted RSI (Money Flow) with a double-smoothed momentum oscillator (Hyper Wave) to filter out noise and provide high-probability signals.
Core Components
1. Money Flow (The Columns) This is the backbone of the indicator. It calculates a normalized RSI and weights it by relative volume.
Green Columns: Positive money flow (Buying pressure).
Red Columns: Negative money flow (Selling pressure).
Neon Colors (Overflow): When the columns turn bright Neon Green or Neon Red, the Money Flow has breached the dynamic Bollinger Band thresholds. This indicates an extreme overbought or oversold condition, suggesting a potential climax in the current move.
2. Hyper Wave (The Line) This is a double-smoothed Exponential Moving Average (EMA) derived from price changes. It acts as the "signal line" for the system. It is smoother than standard RSI or MACD, reducing false signals during choppy markets.
Green Line: Momentum is increasing.
Red Line: Momentum is decreasing.
3. Confluence Zones (Background) The background color changes based on the agreement between Money Flow and Hyper Wave.
Green Background: Both Money Flow and Hyper Wave are bullish. This represents a high-probability long environment.
Red Background: Both Money Flow and Hyper Wave are bearish. This represents a high-probability short environment.
Signal Guide
The Matrix provides three tiers of signals, ranging from early warnings to confirmation entries.
1. Warning Dots (Circles) These appear when the Hyper Wave crosses specific internal levels (-30/30).
Green Dot: Early warning of a bullish rotation.
Red Dot: Early warning of a bearish rotation.
Usage: These are not immediate entry signals but warnings to tighten stop-losses or prepare for a reversal.
2. Major Crosses (Triangles) These occur when Money Flow crosses the zero line, confirmed by momentum direction.
Green Triangle Up: Major Buy Signal (Money Flow crosses above 0).
Red Triangle Down: Major Sell Signal (Money Flow crosses below 0).
Usage: These are the primary trend-following entry signals.
3. Divergences (Labels "R" and "H") The script automatically detects discrepancies between Price action and the Hyper Wave oscillator.
"R" (Regular Divergence): Indicates a potential Reversal.
Bullish R: Price makes a lower low, but Oscillator makes a higher low.
Bearish R: Price makes a higher high, but Oscillator makes a lower high.
"H" (Hidden Divergence): Indicates a potential Trend Continuation.
Bullish H: Price makes a higher low, but Oscillator makes a lower low.
Bearish H: Price makes a lower high, but Oscillator makes a higher high.
Dashboard (Confluence Meter)
Located in the bottom right of the chart, the dashboard provides a snapshot of the current candle's status. It calculates a score based on three factors:
Is Money Flow positive?
Is Hyper Wave positive?
Is Hyper Wave trending up?
Readings:
STRONG BUY: All metrics are bullish.
WEAK BUY: Mixed metrics, but leaning bullish.
NEUTRAL: Metrics are conflicting.
WEAK/STRONG SELL: Bearish equivalents of the buy signals.
Trading Strategies
Strategy A: The Trend Rider
Entry: Wait for a Green Triangle (Major Buy).
Confirmation: Ensure the Background is highlighted Green (Confluence).
Exit: Exit when the background turns off or a Red Warning Dot appears.
Strategy B: The Reversal Catch
Setup: Look for a Neon Red Column (Overflow/Oversold).
Trigger: Wait for a Green "R" Label (Regular Bullish Divergence) or a Green Warning Dot.
Confirmation: Wait for the Hyper Wave line to turn green.
Strategy C: The Pullback (Continuation)
Context: The market is in a strong trend (Green Background).
Trigger: Price pulls back, but a Green "H" Label (Hidden Bullish Divergence) appears.
Action: Enter in the direction of the original trend.
Settings Configuration
The code includes tooltips for all inputs to assist with configuration.
Money Flow Length: Adjusts the sensitivity of the volume calculation. Lower numbers are faster but noisier; higher numbers are smoother.
Threshold Multiplier: Controls the "Neon" overflow bars. Increasing this (e.g., to 2.5 or 3.0) will result in fewer, more extreme signals.
Divergence Lookback: Determines how many candles back the script looks to identify pivots. Increase this number to find larger, macro divergences.
Disclaimer
This source code and the accompanying documentation are for educational and informational purposes only. They do not constitute financial, investment, or trading advice.
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.
BTC Dual Cycle: Stats DashboardOverview
"Price takes the elevator down, but takes the stairs up."
This indicator is a macro-analysis tool designed to visualize the true duration of Bitcoin’s market cycles. Unlike standard oscillators that focus on short-term price action, the Macro Cycle Tracker filters out the noise to answer two fundamental questions:
Are we in a phase of Expansion (Price Discovery)?
Are we in a phase of Recovery (Repairing the damage of a crash)?
It visually separates the market into two distinct regimes based on a configurable drawdown threshold (default: -50%) and provides real-time statistics on how long these phases historically last.
How It Works
The script tracks the All-Time High (ATH) and divides market history into two colored zones:
🟢 The Green Zone (Expansion / Price Discovery)
Trigger: Starts immediately when Bitcoin breaks the previous ATH.
Meaning: The market is healthy, profitable, and exploring new valuation levels.
End: The zone ends when price drops by 50% (configurable) from the cycle top.
🔴 The Red Zone (Recovery / Capitulation)
Trigger: Starts when price drops below the 50% threshold from the peak.
Meaning: The asset is "underwater." This zone remains active persistently—even during relief rallies—until the previous ATH is fully reclaimed.
Philosophy: A cycle is not over until the damage is repaired.
Key Features
Cycle Timer: Displays the exact number of days passed for every historical cycle directly on the chart.
Live Counter: Shows the current duration of the active phase (e.g., "ZONE GREEN: 450 Days...").
Statistical Dashboard: A table in the bottom-right corner automatically calculates the Mean and Median duration (in days) for both Green and Red phases. This allows you to compare the current cycle against historical averages.
How to Use
For Investors (HODLers): Use the Red Zone to understand the "Time Cost" of a bear market. It helps visualize that recovery takes patience and that price action below the old ATH is merely accumulation.
For Analysts: Use the Dashboard statistics to project potential cycle turning points based on historical median durations.
Settings
Drop Percent (%): Default is 50%. This defines the "Crash" threshold. You can adjust this to 20% or 30% for more sensitive cycle detection.
Text Size: Adjust the size of the dashboard text to fit your screen resolution.
Disclaimer: This tool is for educational purposes only and does not constitute financial advice. Past performance is not indicative of future results.
Super momentum DBSISuper momentum DBSI: The Ultimate Guide
1. What is this Indicator?
The Super momentum DBSI is a "Consensus Engine." Instead of relying on a single line (like an RSI) to tell you where the market is going, this tool calculates 33 distinct technical indicators simultaneously for every single candle.
It treats the market like a democracy. It asks 33 mathematical "voters" (Momentum, Trend, Volume, Volatility) if they are Bullish or Bearish.
If 30 out of 33 say "Buy," the score is high (Yellow), and the trend is extremely strong.
If only 15 say "Buy," the score is low (Teal), and the trend is weak or choppy.
2. Visual Guide: How to Read the Numbers
The Scores
Top Number (Bears): Represents Selling Pressure.
Bottom Number (Bulls): Represents Buying Pressure.
The Colors (The Traffic Lights)
The colors are your primary signal. They tell you who is currently winning the war.
🟡 YELLOW (Dominance):
This indicates the Winning Side.
If the Bottom Number is Yellow, Bulls are in control.
If the Top Number is Yellow, Bears are in control.
🔴 RED (Weakness):
This appears on the Top. It means Bears are present but losing.
🔵 TEAL (Weakness):
This appears on the Bottom. It means Bulls are present but losing.
3. Trading Strategy
Scenario A: The "Strong Buy" (Long Entry)
The Setup: You are looking for a shift in momentum where Buyers overwhelm Sellers.
Watch the Bottom Number: Wait for it to turn Yellow.
Confirm Strength: Ensure the score is above 15 and rising (e.g., 12 → 18 → 22).
Check the Top: The Top Number should be Red and low (below 10).
Trigger: Enter on the candle close.
Scenario B: The "Strong Sell" (Short Entry)
The Setup: You are looking for Sellers to crush the Buyers.
Watch the Top Number: Wait for it to turn Yellow.
Confirm Strength: Ensure the score is above 15 and rising.
Check the Bottom: The Bottom Number should be Teal and low.
Trigger: Enter on the candle close.
Scenario C: The "No Trade Zone" (Choppy Market)
The Setup: The market is confused.
Visual: Top is Red, Bottom is Teal.
Meaning: NOBODY IS WINNING. There is no Yellow number.
Action: Do not trade. This usually happens during lunch hours, weekends, or right before big news. This filter alone will save you from many false breakouts.
4. What is Inside? (The 33 Indicators)
To give you confidence in the signals, here is exactly what the script is checking:
Group 1: Momentum (Oscillators)
Detects if price is moving fast.
RSI (Relative Strength Index)
CCI (Commodity Channel Index)
Stochastic
Williams %R
Momentum
Rate of Change (ROC)
Ultimate Oscillator
Awesome Oscillator
True Strength Index (TSI)
Stoch RSI
TRIX
Chande Momentum Oscillator
Group 2: Trend Direction
Detects the general path of the market.
13. MACD
14. Parabolic SAR
15. SuperTrend
16. ALMA (Moving Average)
17. Aroon
18. ADX (Directional Movement)
19. Coppock Curve
20. Ichimoku Conversion Line
21. Hull Moving Average
Group 3: Price Action
Detects where price is relative to averages.
22. Price vs EMA 20
23. Price vs EMA 50
24. Price vs EMA 200
Group 4: Volume & Force
Detects if there is money behind the move.
25. Money Flow Index (MFI)
26. On Balance Volume (OBV)
27. Chaikin Money Flow (CMF)
28. VWAP (Intraday)
29. Elder Force Index
30. Ease of Movement
Group 5: Volatility
Detects if price is pushing the outer limits.
31. Bollinger Bands
32. Keltner Channels
33. Donchian Channels
5. Pro Tips for Success
Don't Catch Knives: If the Bear score (Top) is Yellow and 25+, do not try to buy the dip. Wait for the Yellow score to break.
Exit Early: If you are Long and the Yellow Bull score drops from 28 to 15 in one candle, TAKE PROFIT. The momentum has died.
Use Higher Timeframes: This indicator works best on 15m, 1H, and 4H charts. On the 1m chart, it may be too volatile.
FxAST Ichi ProSeries Enhanced Full Market Regime EngineFxAST Ichi ProSeries v1.x is a modernized Ichimoku engine that keeps the classic logic but adds a full market regime engine for any market and instrument.”
Multi-timeframe cloud overlay
Oracle long-term baseline
Trend regime classifier (Bull / Bear / Transition / Range)
Chikou & Cloud breakout signals
HTF + Oracle + Trend dashboard
Alert-ready structure for automation
No repainting: all HTF calls use lookahead_off.
1. Core Ichimoku Engine
Code sections:
Input group: Core Ichimoku
Function: ichiCalc()
Variables: tenkan, kijun, spanA, spanB, chikou
What it does
Calculates the classic Ichimoku components:
Tenkan (Conversion Line) – fast Donchian average (convLen)
Kijun (Base Line) – slower Donchian average (baseLen)
Senkou Span A (Span A / Lead1) – (Tenkan + Kijun)/2
Senkou Span B (Span B / Lead2) – Donchian over spanBLen
Chikou – current close shifted back in time (displace)
Everything else in the indicator builds on this engine.
How to use it (trading)
Tenkan vs Kijun = short-term vs medium-term balance.
Tenkan above Kijun = short-term bullish control; below = bearish control.
Span A / B defines the cloud, which represents equilibrium and support/resistance.
Price above cloud = bullish bias; price below cloud = bearish bias.
Graphic
2. Display & Cloud Styling
Code sections:
Input groups: Display Options, Cloud Styling, Lagging Span & Signals
Variables: showTenkan, showKijun, showChikou, showCloud, bullCloudColor, bearCloudColor, cloudLineWidth, laggingColor
Plots: plot(tenkan), plot(kijun), plot(chikou), p1, p2, fill(p1, p2, ...)
What it does
Lets you toggle individual components:
Show/hide Tenkan, Kijun, Chikou, and the cloud.
Customize cloud colors & opacity:
bullCloudColor when Span A > Span B
bearCloudColor when Span A < Span B
Adjust cloud line width for clarity.
How to use it
Turn off components you don’t use (e.g., hide Chikou if you only want cloud + Tenkan/Kijun).
For higher-timeframe or noisy charts, use thicker Kijun & cloud so structure is easier to see.
Graphic
Before
After
3. HTF Cloud Overlay (Multi-Timeframe)
Code sections:
Input group: HTF Cloud Overlay
Vars: showHTFCloud, htfTf, htfAlpha
Logic: request.security(..., ichiCalc(...)) → htfSpanA, htfSpanB
Plots: pHTF1, pHTF2, fill(pHTF1, pHTF2, ...)
What it does
Pulls higher-timeframe Ichimoku cloud (e.g., 1H, 4H, Daily) onto your current chart.
Uses the same Ichimoku settings but aggregates on htfTf.
Plots an extra, semi-transparent cloud ahead of price:
Greenish when HTF Span A > Span B
Reddish when HTF Span B > Span A
How to use it
Trade LTF (e.g., 5m/15m) only in alignment with HTF trend:
HTF cloud bullish + LTF Ichi bullish → look for longs
HTF cloud bearish + LTF Ichi bearish → look for shorts
Treat HTF cloud boundaries as major S/R zones.
Graphic
4. Oracle Module
Code sections:
Input group: Oracle Module
Vars: useOracle, oracleLen, oracleColor, oracleWidth, oracleSlopeLen
Logic: oracleLine = donchian(oracleLen); slope check vs oracleLine
Plot: plot(useOracle ? oracleLine : na, "Oracle", ...)
What it does
Creates a long-term Donchian baseline (default 208 bars).
Uses a simple slope check:
Current Oracle > Oracle oracleSlopeLen bars ago → Oracle Bull
Current Oracle < Oracle oracleSlopeLen bars ago → Oracle Bear
Slope state is also shown in the dashboard (“Bull / Bear / Flat”).
How to use it
Think of Oracle as your macro anchor :
Only take longs when Oracle is sloping up or flat.
Only take shorts when Oracle is sloping down or flat.
Works well combined with HTF cloud:
HTF cloud bullish + Oracle Bull = higher conviction long bias.
Ideal for Gold / Indices swing trades as a trend filter.
Graphic idea
5. Trend Regime Classifier
Code sections:
Input group: Trend Regime Logic
Vars: useTrendRegime, bgTrendOpacity, minTrendScore
Logic:
priceAboveCloud, priceBelowCloud, priceInsideCloud
Tenkan vs Kijun alignment
Cloud bullish/bearish
bullScore / bearScore (0–3)
regime + regimeLabel + regimeColor
Visuals: bgcolor(regimeColor) and optional barcolor() in priceColoring mode.
What it does
Scores the market in three dimensions :
Price vs Cloud
Tenkan vs Kijun
Cloud Direction (Span A vs Span B)
Each condition contributes +1 to either bullScore or bearScore .
Then:
Bull regime when:
bullScore >= minTrendScore and bullScore > bearScore
Price in cloud → “Range”
Everything else → “Transition”
These regimes are shown as:
Background colors:
Teal = Bull
Maroon = Bear
Orange = Range
Silver = Transition
Optional candle recoloring when priceColoring = true.
How to use it
Filters:
Only buy when regime = Bull or Transition and Oracle/HTF agree.
Only sell when regime = Bear or Transition and Oracle/HTF agree.
No trade zone:
When regime = Range (price inside cloud), avoid new entries; wait for break.
Aggressiveness:
Adjust minTrendScore to be stricter (3) or looser (1).
Graphic
6. Signals: Chikou & Cloud Breakout
Code sections :
Logic:
chikouBuySignal = ta.crossover(chikou, close)
chikouSellSignal = ta.crossunder(chikou, close)
cloudBreakUp = priceInsideCloud and priceAboveCloud
cloudBreakDown = priceInsideCloud and priceBelowCloud
What it does
1. Two key signal groups:
Chikou Cross Signals
Buy when Chikou crosses up through price.
Sell when Chikou crosses down through price.
Classic Ichi confirmation idea: Chikou breaking free of price cluster.
2. Cloud Breakout Signals
Long trigger: yesterday inside cloud → today price breaks above cloud.
Short trigger: yesterday inside cloud → today price breaks below cloud.
Captures “equilibrium → expansion” moves.
These are conditions only in this version (no chart shapes yet) but are fully wired for alerts. (Future Updates)
How to use it
Use Chikou signals as confirmation, not standalone entries:
Eg., Bull regime + Oracle Bull + cloud breakout + Chikou Buy.
Use Cloud Breakouts to catch the first impulsive leg after consolidation.
Graphic
7. Alerts (Automation Ready)
[
b]Code sections:
Input group: Alerts
Vars: useAlertTrend, useAlertChikou, useAlertCloudBO
Alert lines like: "FxAST Ichi Bull Trend", "FxAST Ichi Bull Trend", "FxAST Ichi Cloud Break Up"
What it does
Provides ready-made alert hooks for:
Trend regime (Bull / Bear)
Chikou cross buy/sell
Cloud breakout up/down
Each type can be globally toggled on/off via the inputs (helpful if a user only wants one kind).
How to use it
In TradingView: set alerts using “Any alert() function call” on this indicator.
Then filter which ones fire by:
Turning specific alert toggles on/off in input panel, or
Filtering text in your external bot / webhook side.
Example simple workflow ---> Indicator ---> TV Alert ---> Webhook ---> Bot/Broker
8. FxAST Dashboard
Code sections:
Input group: Dashboard
Vars: showDashboard, dashPos, dash, dashInit
Helper: getDashPos() → position.*
Table cells (updated on barstate.islast):
Row 0: Regime + label
Row 1: Oracle status (Bull / Bear / Flat / Off)
Row 2: HTF Cloud (On + TF / Off)
Row 3: Scores (BullScore / BearScore)
What it does
Displays a compact panel with the state of the whole system :
Current Trend Regime (Bull / Bear / Transition / Range)
Oracle slope state
Whether HTF Cloud is active + which timeframe
Raw Bull / Bear scores (0–3 each)
Position can be set: Top Right, Top Left, Bottom Right, Bottom Left.
How to use it
Treat it like a pilot instrument cluster :
Quick glance: “Are my trend, oracle and HTF all aligned?”
Great for streaming / screenshots: everything important is visible in one place without reading the code.
Graphic (lower right of chart )
3D Institutional Battlefield [SurgeGuru]Professional Presentation: 3D Institutional Flow Terrain Indicator
Overview
The 3D Institutional Flow Terrain is an advanced trading visualization tool that transforms complex market structure into an intuitive 3D landscape. This indicator synthesizes multiple institutional data points—volume profiles, order blocks, liquidity zones, and voids—into a single comprehensive view, helping you identify high-probability trading opportunities.
Key Features
🎥 Camera & Projection Controls
Yaw & Pitch: Adjust viewing angles (0-90°) for optimal perspective
Scale Controls: Fine-tune X (width), Y (depth), and Z (height) dimensions
Pro Tip: Increase Z-scale to amplify terrain features for better visibility
🌐 Grid & Surface Configuration
Resolution: Adjust X (16-64) and Y (12-48) grid density
Visual Elements: Toggle surface fill, wireframe, and node markers
Optimization: Higher resolution provides more detail but requires more processing power
📊 Data Integration
Lookback Period: 50-500 bars of historical analysis
Multi-Source Data: Combine volume profile, order blocks, liquidity zones, and voids
Weighted Analysis: Each data source contributes proportionally to the terrain height
How to Use the Frontend
💛 Price Line Tracking (Your Primary Focus)
The yellow price line is your most important guide:
Monitor Price Movement: Track how the yellow line interacts with the 3D terrain
Identify Key Levels: Watch for these critical interactions:
Order Blocks (Green/Red Zones):
When yellow price line enters green zones = Bullish order block
When yellow price line enters red zones = Bearish order block
These represent institutional accumulation/distribution areas
Liquidity Voids (Yellow Zones):
When yellow price line enters yellow void areas = Potential acceleration zones
Voids indicate price gaps where minimal trading occurred
Price often moves rapidly through voids toward next liquidity pool
Terrain Reading:
High Terrain Peaks: High volume/interest areas (support/resistance)
Low Terrain Valleys: Low volume areas (potential breakout zones)
Color Coding:
Green terrain = Bullish volume dominance
Red terrain = Bearish volume dominance
Purple = Neutral/transition areas
📈 Volume Profile Integration
POC (Point of Control): Automatically marks highest volume level
Volume Bins: Adjust granularity (10-50 bins)
Height Weight: Control how much volume affects terrain elevation
🏛️ Order Block Detection
Detection Length: 5-50 bar lookback for block identification
Strength Weighting: Recent blocks have greater impact on terrain
Candle Body Option: Use full candles or body-only for block definition
💧 Liquidity Zone Tracking
Multiple Levels: Track 3-10 key liquidity zones
Buy/Sell Side: Different colors for bid/ask liquidity
Strength Decay: Older zones have diminishing terrain impact
🌊 Liquidity Void Identification
Threshold Multiplier: Adjust sensitivity (0.5-2.0)
Height Amplification: Voids create significant terrain depressions
Acceleration Zones: Price typically moves quickly through void areas
Practical Trading Application
Bullish Scenario:
Yellow price line approaches green order block terrain
Price finds support in elevated bullish volume areas
Terrain shows consistent elevation through key levels
Bearish Scenario:
Yellow price line struggles at red order block resistance
Price falls through liquidity voids toward lower terrain
Bearish volume peaks dominate the landscape
Breakout Setup:
Yellow price line consolidates in flat terrain
Minimal resistance (low terrain) in projected direction
Clear path toward distant liquidity zones
Pro Tips
Start Simple: Begin with default settings, then gradually customize
Focus on Yellow Line: Your primary indicator of current price position
Combine Timeframes: Use the same terrain across multiple timeframes for confluence
Volume Confirmation: Ensure terrain peaks align with actual volume spikes
Void Anticipation: When price enters voids, prepare for potential rapid movement
Order Blocks & Voids Architecture
Order Blocks Calculation
Trigger: Price breaks fractal swing points
Bullish OB: When close > swing high → find lowest low in lookback period
Bearish OB: When close < swing low → find highest high in lookback period
Strength: Based on price distance from block extremes
Storage: Global array maintains last 50 blocks with FIFO management
Liquidity Voids Detection
Trigger: Price gaps exceeding ATR threshold
Bull Void: Low - high > (ATR200 × multiplier)
Bear Void: Low - high > (ATR200 × multiplier)
Validation: Close confirms gap direction
Storage: Global array maintains last 30 voids
Key Design Features
Real-time Updates: Calculated every bar, not just on last bar
Global Persistence: Arrays maintain state across executions
FIFO Management: Automatic cleanup of oldest entries
Configurable Sensitivity: Adjustable lookback periods and thresholds
Scientific Testing Framework
Hypothesis Testing
Primary Hypothesis: 3D terrain visualization improves detection of institutional order flow vs traditional 2D charts
Testable Metrics:
Prediction Accuracy: Does terrain structure predict future support/resistance?
Reaction Time: Faster identification of key levels vs conventional methods
False Positive Reduction: Lower rate of failed breakouts/breakdowns
Control Variables
Market Regime: Trending vs ranging conditions
Asset Classes: Forex, equities, cryptocurrencies
Timeframes: M5 to H4 for intraday, D1 for swing
Volume Conditions: High vs low volume environments
Data Collection Protocol
Terrain Features to Quantify:
Slope gradient changes at price inflection points
Volume peak clustering density
Order block terrain elevation vs subsequent price action
Void depth correlation with momentum acceleration
Control Group: Traditional support/resistance + volume profile
Experimental Group: 3D Institutional Flow Terrain
Statistical Measures
Signal-to-Noise Ratio: Terrain features vs random price movements
Lead Time: Terrain formation ahead of price confirmation
Effect Size: Performance difference between groups (Cohen's d)
Statistical Power: Sample size requirements for significance
Validation Methodology
Blind Testing:
Remove price labels from terrain screenshots
Have traders identify key levels from terrain alone
Measure accuracy vs actual price action
Backtesting Framework:
Automated terrain feature extraction
Correlation with future price reversals/breakouts
Monte Carlo simulation for significance testing
Expected Outcomes
If hypothesis valid:
Significant improvement in level prediction accuracy (p < 0.05)
Reduced latency in institutional level identification
Higher risk-reward ratios on terrain-confirmed trades
Research Questions:
Does terrain elevation reliably indicate institutional interest zones?
Are liquidity voids statistically significant momentum predictors?
Does multi-timeframe terrain analysis improve signal quality?
How does terrain persistence correlate with level strength?
LuxAlgo BigBeluga hapharmonic
Peter Brandt's 3-Day Trailing StopPeter Brandt's 3-day trailing stop rule is a trend-following exit strategy where a sell signal is triggered after a stock has reached a new high, followed by a close below the low of that high day, and then a break below the low of the next day, which is called the "setup day". The rule can be reversed to exit a short position. For long positions, Day 1 is the "high day" with a new price high, Day 2 is the "setup day" where the price closes below the low of Day 1, and Day 3 is the "trigger day" where a sell is executed if the price falls below the low of the setup day.
Long exit signal
Day 1: High Day: — The stock makes a new high.
Day 2: Setup Day: — The stock closes below the low of Day 1. At this point, the exit signal is now active.
Day 3: Trigger Day: — A sell to close is triggered when the price breaks below the low of the "setup day" (Day 2).
Short exit signal
Day 1: Low Day: — The stock makes a new low.
Day 2: Setup Day: — The stock closes above the high of Day 1.
Day 3: Trigger Day: — A buy to close is triggered when the price breaks above the high of the "setup day" (Day 2).
Darvas Lines/Box1. Overview
The Darvas Lines/Box (v1.0) is a dynamic trend following indicator based on the renowned method developed by Nicolas Darvas. It's designed to identify clear price consolidation ranges and detect decisive breakouts, crucial for positional and swing trading strategies.
This indicator automatically draws and adjusts the consolidation ranges, and includes modern enhancements such as Advanced Retest Confirmation and exposed alert conditions, providing reliable signals for monitoring and acting on trend continuations.
2. Core Features
Custom Display Mode (Lines/Box): Allows the user to toggle the visualization between showing just the Breakout Lines (Lines) or displaying the consolidation area with a filled background box (Box).
Source Selection (Wicks/Body): Users can choose whether the box boundaries are defined by the candlestick wicks (price extremes) or the candlestick body (open/close price). This feature is critical for adjusting sensitivity to market noise.
Dynamic Box Drawing: Draws Darvas boxes automatically by tracking price highs and lows based on user-defined parameters (Bars to Define Range, Max Box Height).
Retest Confirmation: Detects if the old resistance/support line functions effectively after a breakout. When a retest is confirmed, the line is extended and its color changes.
Price Labels (Stable Lock): Displays the highest and lowest box prices, fixed to the left outer edge of the box. This ensures stable visibility.
Progress Labels: Visualizes the current line price and the percentage distance to the closing price on the right side of the box, showing progress toward the next breakout.
3. Trading Strategy: How to Use the Indicator
This indicator is primarily used to identify trend initiation and trend continuation signals.
A. Entry Strategy (Breakout)
Long Entry Action: Consider taking a long entry when the price closes above the Upper Line (Green Line), signaled by a BULLISH BREAKOUT alert.
Signal: Use the BULLISH BREAKOUT alert.
Short Entry Action: Consider taking a short entry when the price closes below the Lower Line (Red Line), signaled by a BEARISH BREAKOUT alert.
Signal: Use the BEARISH BREAKOUT alert.
B. Retest Strategy (Add-on/Confirmation)
Action: When the price pulls back to touch the broken line (signaled by RETEST CONFIRMED), this confirms the break's validity.
Alert: The RETEST CONFIRMED alert is triggered at this moment.
C. Risk Management (General)
Stop Loss: The initial stop-loss is typically set just beyond the opposite side of the broken box. As the trend progresses and new boxes form, the lower boundary of the most recently formed box can be used as a trailing stop for managing risk.
4. Setting Parameters
Line Source (Wicks/Body): Crucial for sensitivity. 'Wicks' tracks price extremes; 'Body' tracks stronger close-to-close movements, ignoring noise.
Bars to Define Range: Defines the calculation period (in bars) for the box.
Cooldown Bars After Breakout: Sets the waiting period after a breakout before a new box can start forming.
Retest Lookback Bars (Phase 3): Sets the maximum number of bars to check for a retest during the cooldown phase.
Max Gap for Retest (%): Defines the maximum percentage distance from the line allowed to confirm a retest (Set to Zero (0.0%) for near-touch detection).
Alert Frequency (Breakout): Allows selection between Continuous and Once per Box for breakout signals.
5. Alerts: How to Set Up the Triggers
This indicator exposes several specific conditions to the TradingView alert panel, allowing you to select the exact event you want to monitor.
Step-by-Step Alert Setup:
Open the Alert Panel on the chart.
In the Condition field, select the indicator's name.
In the Alert Condition field, choose the specific event you want to monitor:
1. ANY DARVAS EVENT (Consolidated)
2. BULLISH BREAKOUT (Individual)
3. BEARISH BREAKOUT (Individual)
4. RETEST CONFIRMED (Individual)
In the Trigger field (Frequency), select your preferred native option (e.g., "Once Per Bar Close" or "Once per bar").
