Sun Moon Conjunctions Trine Oppositions 2025this script is an astrological tool designed to overlay significant Sun-Moon aspect events for 2025 on a Bitcoin chart. It highlights key lunar phases and aspects—Conjunctions (New Moon) in blue, Squares in red, Oppositions (Full Moon) in purple, and Trines in green—using background colors and labeled markers. Users can toggle visibility for each aspect type and adjust label sizes via customizable inputs. The script accurately marks events from January through December 2025, with labels appearing once per event, making it a valuable resource for exploring potential correlations between lunar cycles and Bitcoin price movements.
Zyklen
Gold Opening 15-Min ORB INDICATOR by AdéThis indicator is designed for trading Gold (XAUUSD) during the first 15 minutes of major market openings: Asian, European, and US sessions. It highlights these key time windows, plots the high and low ranges of each session, and generates breakout-based buy/sell signals. Ideal for traders focusing on volatility at market opens.
Features:Session Windows:
Asian: 1:00–1:15 AM Barcelona time (23:00–23:15 UTC, CEST-adjusted).
European: 9:00–9:15 AM Barcelona time (07:00–07:15 UTC).
US: 3:30–3:45 PM Barcelona time (13:30–13:45 UTC).
Marked with yellow (Asian), green (Europe), and blue (US) triangles below bars.
High/Low Ranges:Plots horizontal lines showing the highest high and lowest low of each session’s first 15 minutes.Lines appear after each session ends and persist until the next day, color-coded to match the sessions.Breakout Signals:Buy (Long): Triggers when the closing price breaks above the highest high of the previous 5 bars during a session window (lime triangle above bar).Sell (Short): Triggers when the closing price breaks below the lowest low of the previous 5 bars during a session window (red triangle below bar).
Signals are restricted to the 15-minute session periods for focused trading.Usage:Timeframe: Optimized for 1-minute XAUUSD charts.Timezone: Set your chart to UTC for accurate session timing (script uses UTC internally, based on Barcelona CEST, UTC+2 in April).Strategy:
Use buy/sell signals for breakout trades during volatile market opens, with session ranges as support/resistance levels.Customization: Adjust the lookback variable (default: 5) to tweak signal sensitivity.Notes:Tested for April 2025 (CEST, UTC+2).
Adjust timestamp values if using outside daylight saving time (CET, UTC+1) or for different broker timezones.Best for scalping or short-term trades during high-volatility periods. Combine with other indicators for confirmation if desired.How to Use:Apply to a 1-minute XAUUSD chart.Watch for session markers (triangles) and breakout signals during the 15-minute windows.Use the high/low lines to gauge potential breakout targets or reversals.
AsianRange&Midnight 2.2### Midnight Setup: Trading Strategy
#### **Bias Definition (Trend Identification)**
- The Daily (D) bias is defined the previous day and validated on the line chart.
- On the Daily chart, identify the nearest V-shaped formation that has broken close to the current price. This formation determines the Daily bias direction.
#### **H4 Bias Analysis (Trend Confirmation)**
- Switch to an H4 chart to refine the analysis.
- Identify a similar V-shaped formation that has broken in the H4 timeframe.
- If the Daily and H4 biases are aligned, the setup is valid.
#### **Entry Strategy (Position Entries)**
- **Bearish Bias (D and H4 identical):**
- Short entry at the high level of the Midnight range.
- **Bullish Bias (D and H4 identical):**
- Long entry at the low level of the Midnight range.
#### **Bias Divergence (Context Adaptation)**
- If the H4 bias is opposite to the Daily bias, this indicates an H4 retracement of the Daily bias.
- Enter a counter-trend trade with reduced risk.
- No TP target beyond 50% of the extension validating the Daily break. It is also not recommended to enter against this divergence beyond 50%.
#### **Divergence Scenarios (Reactions to Divergences)**
- **Daily Bearish Bias, H4 Bullish Bias:**
- Long entry at the Midnight Low.
- **Daily Bullish Bias, H4 Bearish Bias:**
- Short entry at the Midnight High.
#### **Daily Bias Resumption (Trend Alignment)**
- As soon as the H4 bias resumes the Daily bias direction, follow this trend and adjust the position accordingly.
#### **Instructions for Divergent Bias (Managing Divergence)**
- When holding a position with a divergent bias, it is crucial to manage it carefully.
- Exit counter-trend trades as soon as the H4 bias realigns with the Daily bias.
- Limit the duration of counter-trend trades per session and adjust the H4 bias for the next session if needed.
#### **SL/TP Management (Profit Taking and Protection Optimization)**
- **Take Profit (TP):**
- Entry in M15 with a minimum RR of 3.
- TP at 5H NYE, or RR 5, or 15H NYE.
- **Stop Loss (SL):**
- Minimum 15 pips, placed just above the nearest swing to the entry point to protect capital.
- **Red Announcement Days:**
- Either abstain from trading or set a 40-pip SL to limit volatility impact.
- **At 6H/7H NYE:**
- Manage the trade based on its progress: exit, set to BE (Break Even), or keep the SL in place.
- Any SL adjustment outside these rules can only be made if supported by data or backtests.
#### **Risk Management (Capital Protection)**
- Maximum risk of **1% of capital per trade** (allowing for **10 consecutive losses** without significantly affecting capital).
- In case of a loss, **reduce risk by 50% on the next trade** until the loss is recovered.
#### **Efficiency Conditions (When This Setup Works Best)**
- This setup is particularly effective in **strong trends**, where the market has a clear direction.
- It is **less effective in ranging markets**, where prices move within a narrow range without a clear trend.
Setup Midnight : Stratégie de Trading
Order Flow Hawkes Process [ScorsoneEnterprises]This indicator is an implementation of the Hawkes Process. This tool is designed to show the excitability of the different sides of volume, it is an estimation of bid and ask size per bar. The code for the volume delta is from www.tradingview.com
Here’s a link to a more sophisticated research article about Hawkes Process than this post arxiv.org
This tool is designed to show how excitable the different sides are. Excitability refers to how likely that side is to get more activity. Alan Hawkes made Hawkes Process for seismology. A big earthquake happens, lots of little ones follow until it returns to normal. Same for financial markets, big orders come in, causing a lot of little orders to come. Alpha, Beta, and Lambda parameters are estimated by minimizing a negative log likelihood function.
How it works
There are a few components to this script, so we’ll go into the equation and then the other functions used in this script.
hawkes_process(params, events, lkb) =>
alpha = clamp(array.get(params, 0), 0.01, 1.0)
beta = clamp(array.get(params, 1), 0.1, 10.0)
lambda_0 = clamp(array.get(params, 2), 0.01, 0.3)
intensity = array.new_float(lkb, 0.0)
events_array = array.new_float(lkb, 0.0)
for i = 0 to lkb - 1
array.set(events_array, i, array.get(events, i))
for i = 0 to lkb - 1
sum_decay = 0.0
current_event = array.get(events_array, i)
for j = 0 to i - 1
time_diff = i - j
past_event = array.get(events_array, j)
decay = math.exp(-beta * time_diff)
past_event_val = na(past_event) ? 0 : past_event
sum_decay := sum_decay + (past_event_val * decay)
array.set(intensity, i, lambda_0 + alpha * sum_decay)
intensity
The parameters alpha, beta, and lambda all represent a different real thing.
Alpha (α):
Definition: Alpha represents the excitation factor or the magnitude of the influence that past events have on the future intensity of the process. In simpler terms, it measures how much each event "excites" or triggers additional events. It is constrained between 0.01 and 1.0 (e.g., clamp(array.get(params, 0), 0.01, 1.0)). A higher alpha means past events have a stronger influence on increasing the intensity (likelihood) of future events. Initial value is set to 0.1 in init_params. In the hawkes_process function, alpha scales the contribution of past events to the current intensity via the term alpha * sum_decay.
Beta (β):
Definition: Beta controls the rate of exponential decay of the influence of past events over time. It determines how quickly the effect of a past event fades away. It is constrained between 0.1 and 10.0 (e.g., clamp(array.get(params, 1), 0.1, 10.0)). A higher beta means the influence of past events decays faster, while a lower beta means the influence lingers longer. Initial value is set to 0.1 in init_params. In the hawkes_process function, beta appears in the decay term math.exp(-beta * time_diff), which reduces the impact of past events as the time difference (time_diff) increases.
Lambda_0 (λ₀):
Definition: Lambda_0 is the baseline intensity of the process, representing the rate at which events occur in the absence of any excitation from past events. It’s the "background" rate of the process. It is constrained between 0.01 and 0.3 .A higher lambda_0 means a higher natural frequency of events, even without the influence of past events. Initial value is set to 0.1 in init_params. In the hawkes_process function, lambda_0 sets the minimum intensity level, to which the excitation term (alpha * sum_decay) is added: lambda_0 + alpha * sum_decay
Alpha (α): Strength of event excitation (how much past events boost future events).
Beta (β): Rate of decay of past event influence (how fast the effect fades).
Lambda_0 (λ₀): Baseline event rate (background intensity without excitation).
Other parts of the script.
Clamp
The clamping function is a simple way to make sure parameters don’t grow or shrink too much.
ObjectiveFunction
This function defines the objective function (negative log-likelihood) to minimize during parameter optimization.It returns a float representing the negative log-likelihood (to be minimized).
How It Works:
Calls hawkes_process to compute the intensity array based on current parameters.Iterates over the lookback period:lambda_t: Intensity at time i.event: Event magnitude at time i.Handles na values by replacing them with 0.Computes log-likelihood: event_clean * math.log(math.max(lambda_t_clean, 0.001)) - lambda_t_clean.Ensures lambda_t_clean is at least 0.001 to avoid log(0).Accumulates into log_likelihood.Returns -log_likelihood (negative because the goal is to minimize, not maximize).
It is used in the optimization process to evaluate how well the parameters fit the observed event data.
Finite Difference Gradient:
This function calculates the gradient of the objective function we spoke about. The gradient is like a directional derivative. Which is like the direction of the rate of change. Which is like the direction of the slope of a hill, we can go up or down a hill. It nudges around the parameter, and calculates the derivative of the parameter. The array of these nudged around parameters is what is returned after they are optimized.
Minimize:
This is the function that actually has the loop and calls the Finite Difference Gradient each time. Here is where the minimizing happens, how we go down the hill. If we are below a tolerance, we are at the bottom of the hill.
Applied
After an initial guess the parameters are optimized with a mix of bid and ask levels to prevent some over-fitting for each side while keeping some efficiency. We initialize two different arrays to store the bid and ask sizes. After we optimize the parameters we clamp them for the calculations. We then get the array of intensities from the Hawkes Process of bid and ask and plot them both. When the bids are greater than the ask it represents a bullish scenario where there are likely to be more buy than sell orders, pushing up price.
Tool examples:
The idea is that when the bid side is more excitable it is more likely to see a bullish reaction, when the ask is we see a bearish reaction.
We see that there are a lot of crossovers, and I picked two specific spots. The idea of this isn’t to spot crossovers but avoid chop. The values are either close together or far apart. When they are far, it is a classification for us to look for our own opportunities in, when they are close, it signals the market can’t pick a direction just yet.
The value works just as well on a higher timeframe as on a lower one. Hawkes Process is an estimate, so there is a leading value aspect of it.
The value works on equities as well, here is NASDAQ:TSLA on a lower time frame with a lookback of 5.
Inputs
Users can enter the lookback value and timeframe.
No tool is perfect, the Hawkes Process value is also not perfect and should not be followed blindly. It is good to use any tool along with discretion and price action.
Fibonacci Levels with SMA SignalsThis strategy leverages Fibonacci retracement levels along with the 100-period and 200-period Simple Moving Averages (SMAs) to generate robust entry and exit signals for long-term swing trades, particularly on the daily timeframe. The combination of Fibonacci levels and SMAs provides a powerful way to capitalize on major trend reversals and market retracements, especially in stocks and major crypto assets.
The core of this strategy involves calculating key Fibonacci retracement levels (23.6%, 38.2%, 61.8%, and 78.6%) based on the highest high and lowest low over a 365-day lookback period. These Fibonacci levels act as potential support and resistance zones, indicating areas where price may retrace before continuing its trend. The 100-period SMA and 200-period SMA are used to define the broader market trend, with the strategy favoring uptrend conditions for buying and downtrend conditions for selling.
This indicator highlights high-probability zones for long or short swing setups based on Fibonacci retracements and the broader trend, using the 100 and 200 SMAs.
In addition, this strategy integrates alert conditions to notify the trader when these key conditions are met, providing real-time notifications for optimal entry and exit points. These alerts ensure that the trader does not miss significant trade opportunities.
Key Features:
Fibonacci Retracement Levels: The Fibonacci levels provide natural price zones that traders often watch for potential reversals, making them highly relevant in the context of swing trading.
100 and 200 SMAs: These moving averages help define the overall market trend, ensuring that the strategy operates in line with broader price action.
Buy and Sell Signals: The strategy generates buy signals when the price is above the 200 SMA and retraces to the 61.8% Fibonacci level. Sell signals are triggered when the price is below the 200 SMA and retraces to the 38.2% Fibonacci level.
Alert Conditions: The alert conditions notify traders when the price is at the key Fibonacci levels in the context of an uptrend or downtrend, allowing for efficient monitoring of trade opportunities.
Application:
This strategy is ideal for long-term swing trades in both stocks and major cryptocurrencies (such as BTC and ETH), particularly on the daily timeframe. The daily timeframe allows for capturing broader, more sustained trends, making it suitable for identifying high-quality entries and exits. By using the 100 and 200 SMAs, the strategy filters out noise and focuses on larger, more meaningful trends, which is especially useful for longer-term positions.
This script is optimized for swing traders looking to capitalize on retracements and trends in markets like stocks and crypto. By combining Fibonacci levels with SMAs, the strategy ensures that traders are not only entering at optimal levels but also trading in the direction of the prevailing trend.
RSI Support & Resistance Breakouts with OrderblocksThis tool is an overly simplified method of finding market squeeze and breakout completely based on a dynamic RSI calculation. It is designed to draw out areas of price levels where the market is pushing back against price action leaving behind instances of short term support and resistance levels you otherwise wouldn't see with the common RSI.
It uses the changes in market momentum to determine support and resistance levels in real time while offering price zone where order blocks exist in the short term.
In ranging markets we need to know a couple things.
1. External Zone - It's important to know where the highs and lows were left behind as they hold liquidity. Here you will have later price swings and more false breakouts.
2. Internal Zone - It's important to know where the highest and lowest closing values were so we can see the limitations of that squeeze. Here you will find the stronger cluster of orders often seen as orderblocks.
In this tool I've added a 200 period Smoothed Moving Average as a trend filter which causes the RSI calculation to change dynamically.
Regular Zones - without extending
The Zones draw out automatically but are often too small to work with.
To solve this problem, you can extend the zones into the future up to 40 bars.
This allows for more visibility against future price action.
--------------------------------------------
Two Types of Zones
External Zones - These zones give you positioning of the highest and lowest price traded within the ranging market. This is where liquidity will be swept and often is an ultimate breaking point for new price swings.
How to use them :
External Zones - External zones form at the top of a pullback. After this price should move back into its impulsive wave.
During the next corrective way, if price breaches the top of the previous External Zone, this is a sign of trend weakness. Expect a divergence and trend reversal.
Internal Zones - (OrderBlocks) Current price will move in relation to previous internal zones. The internal zone is where a majority of price action and trading took place. It's a stronger SQUEEZE area. Current price action will often have a hard time closing beyond the previous Internal Zones high or low. You can expect these zones to show you where the market will flip over. In these same internal zones you'll find large rejection candles.
**Important Note** Size Doesn't Matter
The size of the internal zone does not matter. It can be very small and still very powerful.
Once an internal zone has been hit a few times, its often not relevant any longer.
Order Block Zone Examples
In this image you can see the Internal Zone that was untouched had a STRONG price reaction later on.
Internal Zones that were touched multiple times had weak reactions later as price respected them less over time.
Zone Overlay Breakdown
The Zones form and update in real time until momentum has picked up and price begins to trend. However it leaves behind the elements of the inducement area and all the key levels you need to know about for future price action.
Resistance Fakeout : Later on after the zone has formed, price will return to this upper zone of price levels and cause fakeouts. A close above this zone implies the market moves long again.
Midline Equilibrium : This is simply the center of the strongest traded area. We can call this the Point of Control within the orderblock. If price expands through both extremes of this zone multiple times in the future, it eliminates the orderblock.
Support Fakeout : Just like its opposing brother, price will wick through this zone and rip back causing inducement to trap traders. You would need a clear close below this zone to be in a bearish trend.
BARCOLOR or Candle Color: (Optional)
Bars are colored under three conditions
Bullish Color = A confirmed bullish breakout of the range.
Bearish Color = A confirmed bearish breakout of the range.
Squeeze Color = Even if no box is formed a candle or candles can have a squeeze color. This means the ranging market happened within the high and low of that singular candle.
(US) Historical Trade WarsHistorical U.S. Trade Wars Indicator
Overview
This indicator visualizes major U.S. trade wars and disputes throughout modern economic history, from the McKinley Tariff of 1890 to recent U.S.-China tensions. This U.S.-focused timeline is perfect for macro traders, economic historians, and anyone looking to understand how America's trade conflicts correlate with market movements.
Features
Comprehensive U.S. Timeline: Covers 130+ years of U.S.-centered trade disputes with historically accurate dates.
Color-Coded Events:
🔴 Red: Marks the beginning of a U.S. trade war or major dispute.
🟡 Yellow: Highlights significant events within a trade conflict.
🟢 Green: Shows resolutions or ends of trade disputes.
Global Partners/Rivals: Tracks U.S. trade relations with China, Japan, EU, Canada, Mexico, Brazil, Argentina, and others.
Country Flags: Uses emoji flags for easy visual identification of nations in trade relations with the U.S.
Major Trade Wars Covered:
McKinley Tariff (1890-1894)
Smoot-Hawley Tariff Act (1930-1934)
U.S.-Europe Chicken War (1962-1974)
Multifiber Arrangement Quotas (1974-2005)
Japan-U.S. Trade Disputes (1981-1989)
NAFTA and Softwood Lumber Disputes
Clinton and Bush-Era Steel Tariffs
Obama-Era China Tire Tariffs
Rare Earth Minerals Dispute (2012-2014)
Solar Panel Dispute (2012-2015)
TPP and TTIP Negotiations
U.S.-China Trade War (2018-present)
Airbus-Boeing Dispute
Usage
Analyze how markets historically responded to trade war initiations and resolutions.
Identify patterns in market behavior during periods of trade tensions.
Use as an overlay with price action to examine correlations.
Perfect companion for macro analysis on daily, weekly, or monthly charts.
About
This indicator is designed as a historical reference tool for traders and economic analysts focusing on U.S. trade policy and its global impact. The dates and events have been thoroughly researched for accuracy. Each label includes emojis to indicate the U.S. and its trade partners/rivals, making it easy to track America's evolving trade relationships across time.
Note: This indicator works best on larger timeframes (daily, weekly, monthly) due to the historical span covered.
Timed Reversion Markers (Custom Session Alerts)This script plots vertical histogram markers at specific intraday time points defined by the user. It is designed for traders who follow time-based reversion or breakout setups tied to predictable market behavior at key clock times, such as institutional opening moves, midday reversals, or end-of-day volatility.
Unlike traditional price-action indicators, this tool focuses purely on time-based triggers, a technique often used in time cycle analysis, market internals, and volume-timing strategies.
The indicator includes eight fully customizable time inputs, allowing users to mark any intraday minute with precision using a decimal hour format (for example, 9.55 for 9:55 AM). Each input is automatically converted into hour and minute format, and a visual histogram marker is plotted once per day at that exact time.
Example use cases:
Mark institutional session opens (e.g., 9:30, 10:00, 15:30)
Time-based mean reversion or volatility windows
Backtest recurring time-based reactions
Highlight algorithmic spike zones
The vertical plots serve as non-intrusive, high-contrast visual markers for scalping setups, session analysis, and decision-making checkpoints. All markers are displayed at the top of the chart without interfering with price candles.
Custom Daily % Levels Table📘 Indicator Description
"Custom Daily % Levels – table" is a dynamic and customizable tool designed to help traders visualize daily percentage-based price ranges and key metrics in a compact, table-style format.
🧩 Key Features:
📐 Custom Percent Levels: Automatically calculates upper and lower price levels based on a user-defined base percentage and number of levels, relative to the previous daily close.
🟢🔴 Color Gradient Highlighting: Positive levels are shown with a green gradient, negative levels with red, and the level labels with a neutral tone for easy reference.
📊 Live Asset Info: Displays the current symbol, percentage change from the previous daily close, and 14-period RSI, all color-coded for quick interpretation.
⚙️ Header Control: Toggle the visibility of the main info headers and level headers independently.
📌 Position Customization: Choose where the table appears on your chart (top/bottom, left/right, center).
📈 Clean Layout: Makes it easy to visually track price movement relative to daily expected ranges.
This indicator is especially useful for intraday traders, scalpers, or anyone needing a clear visual of short-term price expansion and contraction based on predefined volatility zones.
Transient Impact Model [ScorsoneEnterprises]This indicator is an implementation of the Transient Impact Model. This tool is designed to show the strength the current trades have on where price goes before they decay.
Here are links to more sophisticated research articles about Transient Impact Models than this post arxiv.org and arxiv.org
The way this tool is supposed to work in a simple way, is when impact is high price is sensitive to past volume, past trades being placed. When impact is low, it moves in a way that is more independent from past volume. In a more sophisticated system, perhaps transient impact should be calculated for each trade that is placed, not just the total volume of a past bar. I didn't do it to ensure parameters exist and aren’t na, as well as to have more iterations for optimization. Note that the value will change as volume does, as soon as a new candle occurs with no volume, the values could be dramatically different.
How it works
There are a few components to this script, so we’ll go into the equation and then the other functions used in this script.
// Transient Impact Model
transient_impact(params, price_change, lkb) =>
alpha = array.get(params, 0)
beta = array.get(params, 1)
lambda_ = array.get(params, 2)
instantaneous = alpha * volume
transient = 0.0
for t = 1 to lkb - 1
if na(volume )
break
transient := transient + beta * volume * math.exp(-lambda_ * t)
predicted_change = instantaneous + transient
math.pow(price_change - predicted_change, 2)
The parameters alpha, beta, and lambda all represent a different real thing.
Alpha (α):
Represents the instantaneous impact coefficient. It quantifies the immediate effect of the current volume on the price change. In the equation, instantaneous = alpha * volume , alpha scales the current bar's volume (volume ) to determine how much of the price change is due to immediate market impact. A larger alpha suggests that current volume has a stronger instantaneous influence on price.
Beta (β):
Represents the transient impact coefficient.It measures the lingering effect of past volumes on the current price change. In the loop calculating transient, beta * volume * math.exp(-lambda_ * t) shows that beta scales the volume from previous bars (volume ), contributing to a decaying effect over time. A higher beta indicates a stronger influence from past volumes, though this effect diminishes with time due to the exponential decay factor.
Lambda (λ):
Represents the decay rate of the transient impact.It controls how quickly the influence of past volumes fades over time in the transient component. In the term math.exp(-lambda_ * t), lambda determines the rate of exponential decay, where t is the time lag (in bars). A larger lambda means the impact of past volumes decays faster, while a smaller lambda implies a longer-lasting effect.
So in full.
The instantaneous term, alpha * volume , captures the immediate price impact from the current volume.
The transient term, sum of beta * volume * math.exp(-lambda_ * t) over the lookback period, models the cumulative, decaying effect of past volumes.
The total predicted_change combines these two components and is compared to the actual price change to compute an error term, math.pow(price_change - predicted_change, 2), which the script minimizes to optimize alpha, beta, and lambda.
Other parts of the script.
Objective function:
This is a wrapper function with a function to minimize so we get the best alpha, beta, and lambda values. In this case it is the Transient Impact Function, not something like a log-likelihood function, helps with efficiency for a high iteration count.
Finite Difference Gradient:
This function calculates the gradient of the objective function we spoke about. The gradient is like a directional derivative. Which is like the direction of the rate of change. Which is like the direction of the slope of a hill, we can go up or down a hill. It nudges around the parameter, and calculates the derivative of the parameter. The array of these nudged around parameters is what is returned after they are optimized.
Minimize:
This is the function that actually has the loop and calls the Finite Difference Gradient each time. Here is where the minimizing happens, how we go down the hill. If we are below a tolerance, we are at the bottom of the hill.
Applied
After an initial guess, we optimize the parameters and get the transient impact value. This number is huge, so we apply a log to it to make it more readable. From here we need some way to tell if the value is low or high. We shouldn’t use standard deviation because returns are not normally distributed, an IQR is similar and better for non normal data. We store past transient impact values in an array, so that way we can see the 25th and 90th percentiles of the data as a rolling value. If the current transient impact is above the 90th percentile, it is notably high. If below the 25th percentile, notably low. All of these values are plotted so we can use it as a tool.
Tool examples:
The idea around it is that when impact is low, there is room for big money to get size quickly and move prices around.
Here we see the price reacting in the IQR Bands. We see multiple examples where the value above the 90th percentile, the red line, corresponds to continuations in the trend, and below the 25th percentile, the purple line, corresponds to reversals. There is no guarantee these tools will be perfect, that is outlined in these situations, however there is clearly a correlation in this tool and trend.
This tool works on any timeframe, daily as we saw before, or lower like a two minute. The bands don’t represent a direction, like bullish or bearish, we need to determine that by interpreting price action. We see at open and at close there are the highest values for the transient impact. This is to be expected as these are the times with the highest volume of the trading day.
This works on futures as well as equities with the same context. Volume can be attributed to volatility as well. In volatile situations, more volatility comes in, and we can perceive it through the transient impact value.
Inputs
Users can enter the lookback value.
No tool is perfect, the transient impact value is also not perfect and should not be followed blindly. It is good to use any tool along with discretion and price action.
High and Low DayHigh and Low Day
This indicator automatically tracks and displays the daily high and low of the current trading session directly on your chart.
Each new day, it resets the levels and plots horizontal lines:
Green Line for the daily high
Red Line for the daily low
It also adds labels (“High Day” and “Low Day”) for easy visual reference.
The levels update in real time as new highs or lows are formed throughout the day.
You can toggle the visibility of these lines and labels using the "Mostrar Linhas do Dia Atual" (Show Current Day Lines) setting.
Perfect for intraday traders looking to keep track of key support and resistance levels during the trading day.
J Weighted Average Price📘 How to Use the OBV VWAP Reentry Signal Effectively
This indicator plots a VWAP based on OBV (On-Balance Volume), along with dynamic bands to identify overbought and oversold conditions in volume flow.
🔺 Red Triangle Up: Appears when OBV crosses back below the upper band → Potential reversal from overbought → Watch for short opportunities.
🔻 Blue Triangle Down: Appears when OBV crosses back above the lower band → Potential reversal from oversold → Watch for long opportunities.
📌 Tip: Use these signals in confluence with price action or trend confirmation to filter false signals. For example:
Enter short after a reentry from upper band and a lower high in price.
Enter long after a reentry from lower band and a bullish candle structure.
This setup helps you catch mean reversion moves based on volume flow, not just price.
Daily Open Levels (Custom Pips)Daily Open Levels Indicator
Overview: The Daily Open Levels indicator is a simple but powerful tool designed for intraday traders who focus on the daily open price and pip-based levels for decision-making. This indicator helps you visualize key price levels based on the daily opening price, with configurable upper and lower levels calculated in pips. It is especially useful for tracking price movements relative to the previous day’s open and can help traders identify breakout zones, potential support/resistance, and key entry/exit points.
eatures:
Daily Open Price: The indicator automatically calculates and plots the daily open of the current trading day.
Upper and Lower Levels: Configurable upper and lower levels based on a user-defined pip interval. These levels can act as potential resistance or support zones.
Adjustable Pip Interval: You can customize the pip distance for the upper and lower levels to suit different trading styles and volatility.
Works for All Pairs: Option to automatically detect JPY pairs with a different pip value (0.1), or you can manually select your pair setting.
Color Customization: You can choose different colors for the daily open line, upper levels, and lower levels for easy visualization.
Immediate Visual Feedback: The indicator immediately draws the lines on the chart when added, without waiting for any market data.
How It Works:
The daily open price is retrieved from the current trading day, and horizontal lines are drawn at this price level, as well as at pip-based distances above and below it.
The pip distance is calculated using the Pip Interval setting and can be adjusted for any pair. For example, a 225-pip interval would create lines at 225 pips above and below the daily open.
The indicator dynamically updates every minute to reflect new daily opens and adjustments for each trading day.
Lines are drawn using the HLine (horizontal line) objects in MetaTrader 5, making them easy to spot and follow.
Parameters:
Pip Interval: Defines the pip distance for upper and lower levels (e.g., 225 pips). This affects how far above and below the daily open the levels are drawn.
Number of Levels: Sets how many upper and lower levels are drawn.
JPY Pairs: An option to adjust the pip value for JPY pairs (0.1 pip for JPY pairs vs. 0.01 pip for others).
Line Colors: Customize the colors for the daily open, upper levels, and lower levels.
Style & Width: Adjust the style (solid/dashed) and width of the lines to match your preferences.
Sahid Strategy v2This script identifies potential buy/sell signals using:
Pivot Points - Detects swing highs/lows (price reversals)
Confirmation Filters - Reduces false signals using:
RSI (momentum)
Moving Average (trend direction)
Optional MACD (trend confirmation)
Key Features
Signal Type Trigger Conditions
BUY - Price makes a swing low (pivot)
Copy
- RSI ≤ 30 (oversold)
- Price above trend MA
- MACD bullish (optional) |
| SELL | - Price makes a swing high (pivot)
- RSI ≥ 70 (overbought)
- Price below trend MA
- MACD bearish (optional) |
Visual Signals
Green "BUY" labels below price bars
Red "SELL" labels above price bars
Purple trend line (20-period EMA/SMA)
Orange/blue circles showing raw pivot points
Optional Tools
Debug Table (top-right): Shows real-time:
RSI value
Price vs MA position
MACD status
Alerts - Triggers audible/visual notifications
Customization
Adjust in settings:
Pivot sensitivity (left/right bars)
RSI levels (30/70 by default)
MA type/length (20-period EMA/SMA)
Toggle MACD filter on/off
Best For: Swing trading in trending markets (1H-4H timeframes). Signals appear faster than classic pivot strategies but still require confirmation from other analysis tools.
50-Line Oscillator // (\_/)
// ( •.•)
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25-Line Oscillator
Description:
The 25-Line Oscillator is a sophisticated technical analysis tool designed to visualize market trends through the use of multiple Simple Moving Averages (SMAs). This indicator computes a series of 26 SMAs, incrementally increasing the base length, providing traders with a comprehensive view of price dynamics.
Features:
Customizable Base Length: Adjust the base length of the SMAs according to trading preferences, enhancing versatility for different market conditions.
Rainbow Effect: The indicator employs a visually appealing rainbow color scheme to differentiate between the various trend lines, making it easy to identify crossovers and momentum shifts.
Crossovers Detection: The script includes logic to detect crossover events between consecutive trend lines, which can serve as signals for potential entry or exit points in trading.
Clear Visualization: Suitable for both novice and seasoned traders, the plots enable quick interpretation of trends and market behavior.
How to Use:
Add the indicator to your chart and customize the base length as desired.
Observe the rainbow-colored lines for trend direction.
Look for crossover events between the SMAs as potential trading signals.
Application: This indicator is particularly useful for swing traders and trend followers who aim to capitalize on market momentum and identify reversals. By monitoring the behavior of multiple SMAs, traders can gain insights into the strength and direction of price movements over various time frames.
Intraday Macro & Flow Indicator# IntraMacroFlow Indicator
## Introduction
IntraMacroFlow is a volume and delta-based indicator that identifies significant price movements within trading sessions. It generates signals when volume spikes coincide with quality price movement, filtered by RSI to avoid overbought/oversold conditions.
> **Note:** This indicator provides multiple signals and should be combined with additional analysis methods such as support/resistance, trend direction, and price action patterns.
## Inputs
### Volume Settings
* **Volume Lookback Period** (14) - Number of bars for volume moving average calculation
* **Volume Threshold Multiplier** (1.5) - Required volume increase over average to generate signals
* **Delta Threshold** (0.3) - Required close-to-open movement relative to bar range (higher = stronger movement)
### Session Configuration
* **Use Dynamic Session Detection** (true) - Automatically determine session times
* **Highlight Market Open Period** (true) - Highlight first third of trading session
* **Highlight Mid-Session Period** (true) - Highlight middle portion of trading session
* **Detect Signals Throughout Whole Session** (true) - Find signals in entire session
* **Session Time** ("0930-1600") - Trading hours in HHMM-HHMM format
* **Session Type** ("Regular") - Select Regular, Extended, or Custom session
### Manual Session Settings
Used when dynamic detection is disabled:
* **Manual Session Open Hour** (9)
* **Manual Session Open Minute** (30)
* **Manual Session Open Duration** (60)
* **Manual Mid-Session Start Hour** (12)
* **Manual Mid-Session End Hour** (14)
## How It Works
The indicator analyzes each bar using three primary conditions:
1. **Volume Condition**: Current volume > Average volume × Threshold
2. **Delta Condition**: |Close-Open|/Range > Delta threshold
3. **Time Condition**: Bar falls within configured session times
When all conditions are met:
* Bullish signals appear when close > open and RSI < 70
* Bearish signals appear when close < open and RSI > 30
## Display Elements
### Shapes and Colors
* Green triangles below bars - Bullish signals
* Red triangles above bars - Bearish signals
* Blue background - Market open period
* Purple background - Mid-session period
* Bar coloring - Green (bullish), Red (bearish), or unchanged
### Information Panel
A dynamic label shows:
* Current volume relative to average (Vol)
* Delta value for current bar (Delta)
* RSI value (RSI)
* Session status (Active/Closed)
## Calculation Method
```
// Volume Condition
volumeMA = ta.sma(volume, lookbackPeriod)
volumeCondition = volume > volumeMA * volumeThreshold
// Delta Calculation (price movement quality)
priceRange = high - low
delta = math.abs(close - open) / priceRange
deltaCondition = delta > deltaThreshold
// Direction and RSI Filter
bullishBias = close > open and entrySignal and not (rsi > 70)
bearishBias = close < open and entrySignal and not (rsi < 30)
```
## Usage Recommendations
### Suitable Markets
* Equities during regular trading hours
* Futures markets
* Forex during active sessions
* Cryptocurrencies with defined volume patterns
### Recommended Timeframes
* 1-minute to 1-hour (optimal: 5 or 15-minute)
### Parameter Adjustments
* For fewer but stronger signals: increase Volume Threshold (2.0+) and Delta Threshold (0.4-0.6)
* For more signals: decrease Volume Threshold (1.2-1.5) and Delta Threshold (0.2-0.3)
### Usage Tips
* Combine with trend analysis for higher-probability entries
* Focus on signals occurring at session boundaries and mid-session
* Use opposite signals as potential exit points
* Configure alerts to receive notifications when signals occur
## Additional Notes
* RSI parameters are fixed at 14 periods with 70/30 thresholds
* The indicator handles overnight sessions correctly
* Fully compatible with TradingView alerts
* Customizable visual elements
## Release Notes
Initial release: This is a template indicator that should be customized to suit your specific trading strategies and preferences.
London Breakout Tracker - Box Style📊 London Breakout Tracker (Pine Script v6)
This script is designed to track the Asian session range and identify breakout opportunities when the London session begins. It highlights high-probability trade setups and helps avoid fakeouts or overly wide ranges.
🧱 1. Session Time Definitions (Adjusted for Kenyan Time)
The Asian session is defined as:
3:00 AM to 11:00 AM (Kenyan Time)
🔐 2. Asian Session High & Low
During the Asian session:
The script tracks the highest high and lowest low to define the range.
These are stored in variables: asianHigh and asianLow.
🧊 3. Box Drawing for the Asian Range
Once the Asian session ends:
A visual box is drawn around the session using box.new().
This box spans from the session start to end bars and from the high to low.
It helps visually see the range price must break out from.
🚨 4. Breakout Signals
After the Asian session:
A Long Breakout signal is generated if:
The candle closes above the Asian High.
A Short Breakout signal is generated if:
The candle closes below the Asian Low.
This corresponds to 00:00 to 08:00 UTC
These are shown with:
✅ Green up label for long breakouts
❌ Red down label for short breakouts
🧯 5. Fakeout Detection
If price breaks out but closes back inside the Asian range, it’s marked as a Fakeout:
Long Fakeout: Price breaks above high, then closes back below.
Short Fakeout: Price breaks below low, then closes back above.
These are marked with orange X-crosses above or below candles.
⚠️ 6. Wide Range Filter
If the Asian session range is too wide (e.g. > 40 pips), a gray background is drawn.
This warns you not to trade that day since breakouts from wide ranges are unreliable.
📣 7. Alert Conditions
The script can trigger alerts in TradingView when:
🔔 A Long or Short Breakout occurs
⚠️ A Fakeout is detected
You can set these up via the TradingView alert system.
🎯 Overall Purpose:
The script helps you:
Clearly see the Asian session range
Identify breakout opportunities at the London open
Avoid trading during fakeouts or wide-range sessions
Get alerted when breakout/fakeout conditions occur
Weekly Levels Prep (Smart Weekly Candle)This script draws key weekly levels based on the most recent completed weekly candle (Monday–Friday). It automatically calculates and plots:
✅ Weekly High & Low
✅ Midpoint (50% level)
✅ Extension levels above and below
All levels are dynamically updated every new week and are visually marked with clean color-coded horizontal lines. Price values are shown near the price axis for clear visibility across all timeframes.
Great for:
Weekly preparation
Swing trading setups
Mean reversion and range breakouts
🔄 Works on all timeframes
🔍 Lightweight and non-intrusive
Built by a trader, for traders. 💼📈
QT NY Session High/LowShows Asia & London High/Low which are key liquidity points price will react to.
You can also adjust the NY AM 6am - 12pm EST range to divide the time frames into 4 quarters
It delivers NY AM true open and the true day open
It gives you previous day high & previous day low
2013-2025 EclipsesIndicator Description: 2013-2025 Eclipses
This Pine Script (version 5) indicator overlays solar and lunar eclipse events on a TradingView chart, covering the period from 2013 to 2025. It is designed for traders and astrology enthusiasts who wish to visualize these significant astronomical events alongside price action, potentially identifying correlations with market movements or key turning points.
Features:
Eclipses:
Visualization: Displayed as a semi-transparent aqua background highlight across the chart.
Data: Includes 48 specific eclipse dates (both solar and lunar) from April 25, 2013, to September 21, 2025.
Purpose: Highlights dates of eclipses, which are often considered powerful astrological events associated with sudden changes, revelations, or significant shifts in energy and market sentiment.
Technical Details:
Overlay: The indicator is set to overlay=true, ensuring it displays directly on the price chart rather than in a separate pane.
Date Matching: Utilizes a helper function is_date(y, m, d) to determine if the current chart date matches any of the predefined eclipse dates, using TradingView's year, month, and dayofmonth variables.
Visualization Method:
bgcolor: Applies a light aqua background (using color.new(color.aqua, 85)) on the specific dates of eclipses. The transparency level of 85 allows price action to remain visible through the highlight.
Time Range: Spans from April 2013 to September 2025, covering a 12+ year period of eclipse events.
Usage:
Add the script to your TradingView chart to see eclipse dates highlighted with an aqua background on your chosen symbol and timeframe.
The background highlight appears only on the exact dates of eclipses, making it easy to spot these events amidst price data.
Ideal for those incorporating astrological analysis into trading or studying the potential impact of eclipses on financial markets.
Notes:
The script uses a single-line definition for eclipse_dates to ensure compatibility with Pine Script v5 syntax and avoid line continuation errors.
The aqua color matches the original circle-based visualization, with transparency adjustable via the color.new(color.aqua, 85) parameter (0 = fully opaque, 100 = fully transparent).
Works best on daily or higher timeframes for clear visibility of individual eclipse dates, though it functions on any TradingView-supported timeframe.
Eclipse dates should be cross-checked with astronomical sources for critical applications, as the script relies on the provided data accuracy.
Purpose:
This indicator provides a straightforward way to track eclipses over a 12-year period, offering a visual representation of these potent celestial events. By using a background highlight instead of markers, it maintains chart clarity while emphasizing the specific days when eclipses occur, potentially aiding in the analysis of their influence on market behavior or personal trading strategies.
Coppock Curve
The Coppock Curve is a long-term momentum indicator, also known as the "Coppock Guide," used to identify potential long-term market turning points, particularly major downturns and upturns, by smoothing the sum of 14-month and 11-month rates of change with a 10-month weighted moving average.
Here's a more detailed breakdown:
What it is:
The Coppock Curve is a technical indicator designed to identify long-term buy and sell signals in major stock market indices and related ETFs.
How it's calculated:
Rate of Change (ROC): The indicator starts by calculating the rate of change (ROC) for 14 and 11 periods (usually months).
Sum of ROCs: The ROC for the 14-period and 11-period are summed.
Weighted Moving Average (WMA): A 10-period weighted moving average (WMA) is then applied to the sum of the ROCs.
Interpreting the Curve:
Buy Signals: A buy signal is often generated when the Coppock Curve crosses above the zero line, suggesting a potential transition from a bearish to a bullish phase.
Sell Signals: While primarily designed to identify market bottoms, some traders may interpret a cross below the zero line as a sell signal or a bearish warning.
Origin and Purpose:
The Coppock Curve was introduced by economist Edwin Coppock in 1962.
It was originally designed to help investors identify opportune moments to enter the market.
Coppock's inspiration came from the Episcopal Church's concept of the average mourning period, which he believed mirrored the stock market's recovery period.
Limitations:
The Coppock Curve is primarily used for long-term analysis and may not be as effective for short-term or intraday trading.
It may lag in rapidly changing markets, and its signals may not always be reliable.
XTE+ Optimized Trend Tracker📊 XTE+ Optimized Trend Tracker (OTT)
XTE+ OTT is a powerful, trend-following indicator designed for traders who value clarity, precision, and advanced analytics. It offers not only accurate entry and exit signals but also visual zones, historical signal analysis, and real-time trend monitoring.
🧠 How It Works
XTE+ OTT is based on an improved version of the Optimized Trend Tracker. It utilizes multiple customizable moving average types (VAR, EMA, SMA, WMA, and more) combined with volatility filtering (ATR logic) to generate cleaner, more reliable trend-following signals.
✅ Features
Trend Direction Detection with automatic switch logic
Buy/Sell Signal Icons with distinct large markers
Entry/Exit Zones drawn visually on chart
Custom Take-Profit / Stop-Loss settings for Buy and Sell signals
Statistical Panel showing:
Current Trend (Up/Down)
Number of total signals
Number of winning trades
Win percentage
Configurable Display Options:
Show/hide signals
Show/hide trend zones
Show/hide OTT and MA lines
Supports multiple MA types including EMA, SMA, VAR, ZLEMA, TSF and more
Non-repainting logic — signals are confirmed at bar close
⚙️ Inputs and Customization
OTT Period & Sensitivity (%)
MA Type Selection (VAR, EMA, etc.)
Entry Zone Visualization On/Off
Trend Panel Display On/Off
TP/SL % per direction (Buy/Sell separately)
Option to disable MA or OTT line display
📈 Visuals
Signal icons: BUY (Green Up Label), SELL (Red Down Label)
Entry zones: circles near breakout levels
Trendlines change color dynamically (green for uptrend, red for downtrend)
Trend Panel is pinned in the top-right corner for quick reference
💡 Usage Tips
Best used on higher timeframes (15min, 1H, 4H+) for more meaningful trend signals
Combine with volume/volatility indicators or support/resistance zones for enhanced decision making
Use TP/SL logic to track signal success over time and optimize strategies
📌 Disclaimer
This script is for educational and informational purposes only. It is not financial advice. Always test and validate your strategy before applying it in live markets.
MÈGAS ALGO : ZIG-ZAG CYCLE INSIGTH [INDICATOR]Overview
The Zig-Zag Cycle Insigth is a revisited version of the classic Zig Zag indicator, designed to provide traders with a more comprehensive and actionable view of price movements.
This advanced tool not only highlights significant price swings but also incorporates additional features such as cycle analysis, real-time data tracking, and Fibonacci retracement levels. These enhancements make it an invaluable resource for identifying trends, potential reversal points, and market structure.
This indicator adheres to TradingView's guidelines and is optimized for both technical analysts and active traders who seek deeper insights into market dynamics.
Key Features:
1. Customizable Thresholds for Price Movements:
- Users can set personalized thresholds for price movement percentages and time periods.
This ensures that only significant price swings are plotted, reducing noise and increasing
clarity.
- Straight lines connect swing highs and lows, providing a cleaner visual representation of
the trend.
2. Cycle Analysis Table:
- A dynamic table is included to analyze price cycles based on three key factors:
- Price Change: Measures the magnitude of each swing (high-to-low or low-to-high).
- Time Duration (Bar Count): Tracks the number of bars elapsed between consecutive swings,
offering precise timing insights.
- Volume: Analyzes trading volume during each segment of the cycle.
- The indicator calculates the **maximum**, **minimum**, and **mean** values for each
parameter across all completed cycles, providing deeper statistical insights into market
behavior.
- This table updates in real-time, offering traders a quantitative understanding of how price
behaves over different cycles.
3. Real-Time Data Integration:
- The indicator displays live updates of current price action relative to the last identified
swing high/low. This includes:
- Current distance from the last pivot point.
- Percentage change since the last pivot.
- Volume traded since the last pivot.
4. Fibonacci Retracement Levels:
- Integrated Fibonacci retracement levels are dynamically calculated based on the most
recent significant swing high and low.
- Key retracement levels (23.6%, 38.2%, 50%, 61.8%, and 78.6%) are plotted alongside the Zig
Zag lines, helping traders identify potential support/resistance zones.
- Extension levels (100%, 161.8%, etc.) are also included to anticipate possible breakout
targets.
5. Customizable Alerts:
- Users can configure alerts for specific real-time conditions, such as:
- Price Change
- Duration
- Volume
- Fibonacci Retracement Levels
How It Works:
1. Zig Zag Identification:
- The indicator scans historical price data to identify significant turning points where the
price moves by at least the user-defined percentage threshold.
- These turning points are connected by straight lines to form the Zig Zag pattern.
2. Cycle Analysis:
For each completed cycle (from one swing high/low to the next), the indicator calculates:
- Price Change: Difference between the start and end prices of the cycle.
- Maximum Price Change: The largest price difference observed across all cycles.
- Minimum Price Change: The smallest price difference observed across all cycles.
- Mean Price Change: The average price difference across all cycles.
- Time Duration (Bar Count): Number of bars elapsed between consecutive swings.
- Maximum Duration: The longest cycle in terms of bar count.
- Minimum Duration: The shortest cycle in terms of bar count.
- Mean Duration: The average cycle length in terms of bar count.
- Volume: Total volume traded during the cycle.
- Maximum Volume: The highest volume traded during any single cycle.
- Minimum Volume: The lowest volume traded during any single cycle.
- Mean Volume: The average volume traded across all cycles.
- These calculations provide traders with a statistical overview of market behavior, enabling
them to identify patterns and anomalies in price, time, and volume.
3. Fibonacci Integration:
- Once a new swing high or low is identified, the indicator automatically calculates Fibonacci
retracement and extension levels.
- These levels serve as reference points for potential entry/exit opportunities.
4. Real-Time Updates:
- As the market evolves, the indicator continuously monitors the relationship between the
current price and the last identified swing point.
- Real-time metrics, such as percentage change and volume, are updated dynamically.
5. Alerts Based on Real-Time Parameters:
- The indicator allows users to set customizable alerts based on real-time conditions:
- Price Change Alert: Triggered when the real-time price change is less or greater than a
predefined percentage threshold (e.g., > or < fixed value).
- Duration Alert: Triggered when the cycle duration (in bars) is less or greater than a
predefined
bar count threshold (e.g., > or < fixed value).
- Volume Alert: Triggered when the trading volume during the current cycle is less or greater
than a predefined volume threshold (e.g., > or < fixed value).
Advantages of Zig-Zag Cycle Insigth
- Comprehensive Insights: Combining cycle analysis, Fibonacci retracements, and real-time data
provides a holistic view of market conditions.
- Statistical Analysis: The inclusion of maximum, minimum, and mean values for price change,
duration, and volume offers deeper insights into market behavior.
- Actionable Signals: Customizable alerts ensure traders never miss critical market events based
on real-time price, duration, and volume parameters.
- User-Friendly Design: Clear visuals and intuitive controls make it accessible for traders of all
skill levels.
Reference:
TradingView/ZigZag
TradingView/AutofibRetracement
Please Note:
This indicator is provided for informational and educational purposes only. It is not financial advice, and it should not be considered a recommendation to buy, sell, or trade any financial instrument. Trading involves significant risks, including the potential loss of your entire investment. Always conduct your own research and consult with a licensed financial advisor before making any trading decisions.
The results and images provided are based on algorithms and historical/paid real-time market data but do not guarantee future results or accuracy. Use this tool at your own risk, and understand that past performance is not indicative of future outcomes.
Open Vertical Lines [TradeWithRon]This indicator allows traders to draw vertical lines manually or automatically based on the current or specified higher timeframes. It is a versatile tool designed to help users identify and mark significant changes in the market, such as new candle formations, based on a selected or auto-adjusted timeframe.
Open Source
Features:
Timeframe Customization: Users can either manually specify a desired timeframe (e.g., 1-hour, 1-day, etc.) or enable the "Auto" feature, which automatically adjusts the timeframe based on the current chart's timeframe for better alignment with different trading strategies.
Customizable Line Style: The vertical line can be drawn in three different styles: Solid, Dashed, or Dotted, giving users the flexibility to choose their preferred appearance for better chart readability.
Line Color: Users can select the color of the vertical line with transparency options to match their chart's visual preferences.
Auto Timeframe Adjustments: The "Auto Align" option dynamically adjusts the timeframe used for vertical lines depending on the chart's current timeframe. For example, if you’re using a lower timeframe (e.g., 5 minutes), the indicator will automatically switch to a higher timeframe (e.g., 1 hour or daily) to mark vertical lines, ensuring the lines correspond to higher timeframe price action.
Vertical Line Placement:
A vertical line is placed each time a new candle appears on the chart, marking key moments for the user to analyze market movements. This can be helpful for marking the start of new trading sessions or significant events in the market.
How to Use:
1. Apply the indicator to your chart.
2. Configure the preferred timeframe settings (either fixed or auto-align).
3. Customize the line style and color according to your visual preference.
4. The indicator will automatically place vertical lines on the chart when a new candle is formed, based on your selected timeframe.
