Liquidity TrendlineOverview:
Liquidity Trendline draws dynamic support and resistance lines by connecting successive swing highs and lows (pivot points) over a configurable lookback period. It optionally plots parallel “padding” lines to visualize zones of potential liquidity breaks, and flags breakout points with up/down triangles when price decisively crosses these trendlines.
Key Features:
Pivot detection: Identifies swing highs/lows using ta.pivothigh and ta.pivotlow over a user-defined period (Period).
Dynamic trendlines : Connects the last two pivots to form trendlines, continually extending them into the future.
Liquidity zones : Draws a parallel offset line at a distance defined by Padding, creating a shaded “zone” with linefill to highlight areas where liquidity may accumulate.
Breakout signals: When price closes beyond the trendline zone, “triangle” markers appear above/below the bar (Show Breakouts toggle).
Multi-timeframe support : Defines separate Primary/Secondary trendlines on different chart resolutions if desired.
Usage :
Add the script to a price chart (overlaid).
Adjust Period to control sensitivity (smaller = more pivots/lines).
Tweak Padding to set how wide the liquidity zone appears.
Enable Show Breakouts to mark clear price breaks through the zone.
(Optional) Use multi-timeframe Primary/ Secondary TL Period to compare higher- and lower-timeframe trendlines in one view.
How it works (brief):
Every new pivot high/low is stored.
When two successive pivots form, a trendline is drawn between them.
A second line is drawn at a fixed offset (Padding) below/above the trendline to visualize a liquidity buffer.
Both lines are extended bar-by-bar; if price crosses beyond the offset line, the script considers the trendline “broken” and resets.
Chart Screenshot Guidelines:
Publish with a single clean chart showing only this indicator overlaid on price.
Clearly display the symbol, timeframe and version annotation.
Avoid clutter—no unrelated indicators or drawings.
Pine Script Version: v5
Source: No-Open-source
Garisan Trend
Trendline Breakouts With Targets [ Custom by MinhVo ]Trendline Breakout Strategy With Stoploss and Target
Each order if matched stoploss will lose 10% of current balance value and the order have ratio R:R is 1:1.2 as default.
Breakout Patterns Detector: Triangle & Wedge [Splirus]This indicator identifies Breakout Patterns such as Ascending Triangles , Descending Triangles , Symmetric Triangles , Ascending Wedges , and Descending Wedges , using candlestick charts and Trendlines. It provides visual cues, stop-loss (SL), and take-profit (TP) levels, alongside a detailed dashboard to evaluate performance. The indicator supports two alert modes: Manual Mode for trader notifications and Bot Mode for automated trading signals.
To achieve optimal results, users are encouraged to experiment with indicator parameters and analyze the dashboard summary to find the perfect configuration for each timeframe, pair, and market condition.
Pattern Identification
The indicator detects the following breakout patterns based on pivot highs and lows:
Ascending Triangle : Flat upper trendline, rising lower trendline.
Descending Triangle : Flat lower trendline, declining upper trendline.
Symmetric Triangle : Converging trendlines with similar slopes (within a user-defined threshold).
Ascending Wedge : Both trendlines slope upward, converging.
Descending Wedge : Both trendlines slope downward, converging.
Patterns are identified using configurable left and right bars for small and big patterns, with slope thresholds normalized by ATR. A trend confirmation filter ensures breakouts align with market direction, and users can adjust breakout confirmation bars to validate signals.
The goal is to fine-tune these settings to suit specific timeframes and pairs, as each combination may require a unique setup for optimal performance.
Stop-Loss Calculation
Stop-loss levels are calculated dynamically based on pattern type and breakout direction:
Symmetric Triangle : SL is set at the first pivot of the opposite trendline, adjusted by a buffer percentage.
Ascending/Descending Triangle : SL is placed at the breakout trendline’s price, plus the buffer.
Ascending/Descending Wedge : SL is set at the second pivot of the opposite trendline, adjusted by the buffer.
The indicator calculates leverage based on a user-defined risk tolerance percentage. Users should adjust the SL buffer and risk tolerance to balance risk and reward, monitoring the dashboard to assess how these settings impact performance across different timeframes and pairs.
Take-Profit Calculation
Three take-profit levels ( TP1 , TP2 , TP3 ) are calculated using pattern height and user-defined multipliers:
For Ascending/Descending Triangles, height is the difference between the max and min prices within the pattern.
For Symmetric Triangles and Wedges, height is the vertical distance between trendlines at the pattern’s start.
TP levels are set as:
TP1 = Breakout price ± (Height × TP1 Multiplier).
TP2 = Breakout price ± (Height × TP2 Multiplier).
TP3 = Breakout price ± (Height × TP3 Multiplier, with a 1.5x adjustment for Wedges).
Experiment with TP multipliers to optimize the risk-reward ratio, using the dashboard to evaluate TP hit rates and overall profitability for each configuration.
Symmetric Triangle:
Ascending/Descending Wedge:
Ascending/Descending Triangles:
Finding the Perfect Configuration
The indicator’s dashboard provides a comprehensive summary of performance metrics, including total trades, TP1/TP2/TP3 hits, SL hits, profit/loss percentages, and win rates for bullish, bearish, and combined trades. These metrics are crucial for identifying the ideal parameter settings:
Timeframe and Pair Variability : Each timeframe (e.g., 15m, 30min, 1H, 4H, Daily) and pair (e.g., BTC/USD, EUR/USD) behaves differently. Adjust parameters like left/right bars, minimum pattern length, and breakout confirmation bars to match the volatility and trend characteristics of the chosen pair and timeframe.
Parameter Tuning : Modify slope thresholds, trend confirmation filters, and bars inside the pattern to filter out false breakouts. For example, a higher breakout confirmation bar setting may reduce signals but increase reliability on longer timeframes.
Dashboard Analysis : Focus on the dashboard’s win rate, profit/loss ratio, and TP/SL hit frequencies. A “Perfect” win rate (>66%) or high TP hit rate indicates a strong configuration. If the SL hit rate is high, consider tightening the trend confirmation filter or increasing the SL buffer.
Iterative Testing : Test different combinations of settings (e.g., small vs. big patterns, aggressive vs. conservative breakout confirmation) and compare dashboard results over time. The goal is to find a balance where the indicator consistently delivers high win rates and profitability for your specific trading setup.
Alert Modes
The indicator supports two alert modes to suit different trading styles:
Manual Mode : Generates alerts for breakouts with entry price, SL, TP1/TP2/TP3, and leverage, tailored for Crypto or Forex markets. Use this mode to manually evaluate signals while refining configurations.
Bot Mode : Sends automated trading signals. To avoid conflicts, Bot Mode ensures no short position alert is triggered while a long position is active, and vice versa. This mode is ideal once you’ve identified an optimal configuration via the dashboard.
Additional Features
Historical Patterns : Displays past trendlines with customizable transparency and extension, helping users analyze how patterns performed under different settings.
Customizable Settings : Adjust pattern size, breakout confirmation, trend filters, and visual preferences (colors, dashboard location) to match your trading style.
Market Compatibility : Supports Crypto and Forex markets across all timeframes, but requires careful tuning for each market type.
Usage Notes
Start with default settings and monitor the dashboard to establish a baseline performance for your chosen timeframe and pair.
Gradually adjust one parameter at a time (e.g., left/right bars, TP multipliers) and compare dashboard results to identify improvements.
Use historical pattern analysis to understand how past breakouts performed under different configurations, guiding your optimization process.
Once a high win rate and profitability are achieved, consider automating trades with Bot Mode for consistent execution.
Disclaimer
This indicator is intended for educational purposes only and should not be considered financial advice. Trading involves significant risk, and past performance is not indicative of future results. Users are strongly advised to thoroughly test and validate the indicator’s signals in a demo environment before using it in live trading. The author is not responsible for any financial losses incurred while using this indicator. Always conduct your own research and consult with a qualified financial advisor before making trading decisions.
Exponential Trend [AlgoAlpha]OVERVIEW
This script plots an adaptive exponential trend system that initiates from a dynamic anchor and accelerates based on time and direction. Unlike standard moving averages or trailing stops, the trend line here doesn't follow price directly—it expands exponentially from a pivot determined by a modified Supertrend logic. The result is a non-linear trend curve that starts at a specific price level and accelerates outward, allowing traders to visually assess trend strength, persistence, and early-stage reversal points through both base and volatility-adjusted extensions.
CONCEPTS
This indicator builds on the idea that trend-following tools often need dynamic, non-static expansion to reflect real market behavior. It uses a simplified Supertrend mechanism to define directional context and anchor levels, then applies an exponential growth function to simulate trend acceleration over time. The exponential growth is unidirectional and resets only when the direction flips, preserving trend memory. This method helps avoid whipsaws and adds time-weighted confirmation to trends. A volatility buffer—derived from ATR and modifiable by a width multiplier—adds a second layer to indicate zones of risk around the main trend path.
FEATURES
Exponential Trend Logic : Once a directional anchor is set, the base trend line accelerates using an exponential formula tied to elapsed bars, making the trend stronger the longer it persists.
Volatility-Adjusted Extension : A secondary band is plotted above or below the base trend line, widened by ATR to visualize volatility zones, act as soft stop regions or as a better entry point (Dynamic Support/Resistance).
Color-Coded Visualization : Clear green/red base and extension lines with shaded fills indicate trend direction and confidence levels.
Signal Markers & Alerts : Triangle markers indicate confirmed trend reversals. Built-in alerts notify users of bullish or bearish direction changes in real-time.
USAGE
Use this script to identify strong trends early, visually measure their momentum over time, and determine safe areas for entries or exits. Start by adjusting the *Exponential Rate* to control how quickly the trend expands—the higher the rate, the more aggressive the curve. The *Initial Distance* sets how far the anchor band is placed from price initially, helping filter out noise. Increase the *Width Multiplier* to widen the volatility zone for more conservative entries or exits. When the price crosses above or below the base line, a new trend is assumed and the exponential projection restarts from the new anchor. The base trend and its extension both shift over time, but only reset on a confirmed reversal. This makes the tool especially useful for momentum continuation setups or trailing stop logic in trending markets.
Trendline Breakout Navigator [LuxAlgo]The Trendline Breakout Navigator indicator shows three trendlines, representing trends of different significance between Swing Points.
Dots highlight a Higher Low (HL) or Lower High (LH) that pierces through the Trendline without the closing price breaking the Trendline.
A bar color and background color option is included, which offers insights into the price against the trendlines.
🔶 USAGE
Trendlines (TL) are drawn, starting as a horizontal line from a Swing Point.
When an HL (in the case of a bullish TL) or an LH (bearish TL) is found, this Swing Point is connected to the first Swing Point. In both cases, the TL can be optimized when one or more historical close prices breach the TL (see DETAILS).
A solid-styled long-term trendline represents the overall market direction, while a dashed-styled medium-term trendline captures medium-term movements within the long-term trend. Finally, a dotted-styled short-term trendline tracks short-term fluctuations.
🔹 Swing Points vs. Trend
A "Higher High" (HH) or "Lower Low" (LL) will initialize a new trendline, respectively, starting from the previous "Swing Low" or Swing High".
To spot the trend shift, "HH/LL" labels and an optional background color are included. They can be enabled/disabled or set at "Long, Medium, or Short" term TL (Settings—"MS", "HH/LL" and "Background Color").
These features are linked to one Trendline of choice only.
Where the "HH/LL" labels can show a potential trend shift, the background color is:
Green from the moment the close price breaks above a bearish trendline or when an HH occurs
Red from the moment the close price breaks below a bullish trendline or when an LL occurs
🔹 Bar Color
The bar color will depend on the location of the closing price against the three trendlines. When a trendline is unavailable (for example, if the close price breaks the TL and there is no HH/LL), the last known trendline value will be considered.
All three trendlines influence the bar color.
If the close price is above the "Long Term" TL, the bar color will show a gradient of green, darker when the close price is below the "Medium Term" and/or "Short Term" TLs.
On the other hand, when the close price is below the "Long Term" TL, the bar color will show a gradient of red, which becomes darker when the close price is above the "Medium Term" and/or "Short Term" TLs.
To keep the above example simple, only the "Long Term" TL is considered. The white line (not included in the script) resembles the actual value of the TL at each bar, where you can see the effect on the bar color.
Combined with the trendlines and dots, the bar color can provide extra depth and insights into the underlying trends.
🔹 Tested Trendlines
If a new HL/LH pierces the Trendline without the close price breaking the Trendline, the Trendline will be updated.
The exact location where the price exceeded the Trendline is visualized by a dot, colored blue on a bullish trendline and orange when bearish.
These dots can be indicative of a potential trend continuation or reversal.
🔹 Higher TimeFrame Option
The "Period" setting enables users to visualize higher-timeframe trendlines as long as the line length doesn't exceed 5000 bars.
🔶 DETAILS
When a new trendline is drawn, the script first draws a preliminary line and then checks whether a historical close price exceeded this line above (in the case of a bearish TL) or below (in a bullish case).
Subsequently, the most valid point in between is chosen as the starting point of the Trendline.
🔶 SETTINGS
Period: Choose "chart" for trendlines from the current chart timeframe, or choose a higher timeframe
🔹 Swing Length
Toggle and Swing Length for three trendlines: Period used for the swing detection, with higher values returning longer-term Swing Levels.
🔹 Style
Trendline: color for bullish/bearish Trendline
Wick Dot: color for bullish/bearish trendline test
Term: Long-, medium- or short-term
HH/LL: Show HH/LL labels (with or without previous Swing High/Low) of chosen Term
Background Color: Green when the closing price is above the trendline of choice, red otherwise
Bar Color
RSI Trendlines [RG]Overview
RSI Trendlines combines the power of automatic trendline detection with the popular Relative Strength Index (RSI) indicator. This tool identifies and plots dynamic support and resistance trendlines directly on the RSI chart, helping you spot potential trend changes and divergences in momentum before they appear in price.
Key Features
Automatically detects and draws trendlines on the RSI indicator
Identifies significant pivot points in RSI momentum
Customizable appearance with adjustable colors and line widths
Built-in alerts for trendline breaks
How It Works
The indicator calculates the standard RSI using your preferred settings
It identifies pivot highs and lows in the RSI using the specified lookback period
Valid trendlines are drawn connecting consecutive pivots
Lines extend until they experience a confirmed break
Customization Options
RSI Parameters: Adjust length and source to your preference
Trendline Settings: Control pivot detection sensitivity and maximum lines
Visual Options: Customize colors, line widths, and optional midline display
Ideal For
Identifying established trends in momentum
Spotting potential RSI divergences early
Timing entries and exits based on momentum shifts
Confirming trend changes with objective trendline breaks
This indicator aims to help traders move beyond static overbought/oversold levels by revealing the dynamic structure of momentum trends and highlighting potential reversals and continuations.
Please don't use this as a buy and sell indicator. Use it to get an idea on the market trend and as an extra confirmation for your trades. Happy Trading :)
Auto Trendlines [RG]Auto Trendlines
Overview
Auto Trendlines automatically identifies, draws, and manages dynamic support and resistance trendlines based on pivot points. It continuously monitors price action to validate and update trendlines.
Key Features
Automatically identifies support (green) and resistance (red) trendlines
Validates trendlines against historical price action
Configurable lookback period and maximum active lines
Clean visualization with customizable line widths
How It Works
The indicator detects pivot highs and lows using your specified lookback period
It connects consecutive pivots to create potential trendlines
Lines are extended to the right until a confirmed price break
Older lines are automatically removed when the maximum is reached
Customization Options
Lookback Period: Controls the sensitivity of pivot detection
Maximum Active Lines: Limits the number of trendlines displayed
Line Width: Separate width controls for support and resistance lines
Ideal For
Identifying dynamic support and resistance levels.
Spotting potential reversal zones.
This indicator will help you identify trendlines, which you can then sophisticate and redraw more accurately. Please use this indicator only to identify trendline scenarios. Keep in mind that this is not a buy and sell indicator. Trendline breaks and bounces are not always respected, as prices can turn around at any moment. Happy Trading :)
Auto TrendLines [TradingFinder] Support Resistance Signal Alerts🔵 Introduction
The trendline is one of the most essential tools in technical analysis, widely used in financial markets such as Forex, cryptocurrency, and stocks. A trendline is a straight line that connects swing highs or swing lows and visually indicates the market’s trend direction.
Traders use trendlines to identify price structure, the strength of buyers and sellers, dynamic support and resistance zones, and optimal entry and exit points.
In technical analysis, trendlines are typically classified into three categories: uptrend lines (drawn by connecting higher lows), downtrend lines (formed by connecting lower highs), and sideways trends (moving horizontally). A valid trendline usually requires at least three confirmed touchpoints to be considered reliable for trading decisions.
Trendlines can serve as the foundation for a variety of trading strategies, such as the trendline bounce strategy, valid breakout setups, and confluence-based analysis with other tools like candlestick patterns, divergences, moving averages, and Fibonacci levels.
Additionally, trendlines are categorized into internal and external, and further into major and minor levels, each serving unique roles in market structure analysis.
🔵 How to Use
Trendlines are a key component in technical analysis, used to identify market direction, define dynamic support and resistance zones, highlight strategic entry and exit points, and manage risk. For a trendline to be reliable, it must be drawn based on structural principles—not by simply connecting two arbitrary points.
🟣 Selecting Pivot Types Based on Trend Direction
The first step is to determine the market trend: uptrend, downtrend, or sideways.
Then, choose pivot points that match the trend type :
In an uptrend, trendlines are drawn by connecting low pivots, especially higher lows.
In a downtrend, trendlines are formed by connecting high pivots, specifically lower highs.
It is crucial to connect pivots of the same type and structure to ensure the trendline is valid and analytically sound.
🟣 Pivot Classification
This indicator automatically classifies pivot points into two categories :
Major Pivots :
MLL : Major Lower Low
MHL : Major Higher Low
MHH : Major Higher High
MLH : Major Lower High
These define the primary structure of the market and are typically used in broader structural analysis.
Minor Pivots :
mLL: minor Lower Low
mHL: minor Higher Low
mHH: minor Higher High
mLH: minor Lower High
These are used for drawing more precise trendlines within corrective waves or internal price movements.
Example : In a downtrend, drawing a trendline from an MHH to an mHH creates structural inconsistency and introduces noise. Instead, connect points like MHL to MHL or mLH to mLH for a valid trendline.
🟣 Drawing High-Precision Trendlines
To ensure a reliable trendline :
Use pivots of the same classification (Major with Major or Minor with Minor).
Ensure at least three valid contact points (three touches = structural confirmation).
Draw through candles with the least deviation (choose wicks or bodies based on confluence).
Preferably draw from right to left for better alignment with current market behavior.
Use parallel lines to turn a single trendline into a trendline zone, if needed.
🟣 Using Trendlines for Trade Entries
Bounce Entry: When price approaches the trendline and shows signs of reversal (e.g., a reversal candle, divergence, or support/resistance), enter in the direction of the trend with a logical stop-loss.
Breakout Entry: When price breaks through the trendline with strong momentum and a confirmation (such as a retest or break of structure), consider trading in the direction of the breakout.
🟣 Trendline-Based Risk Management
For bounce entries, the stop-loss is placed below the trendline or the last pivot low (in an uptrend).
For breakout entries, the stop-loss is set behind the breakout candle or the last structural level.
A broken trendline can also act as an exit signal from a trade.
🟣 Combining Trendlines with Other Tools (Confluence)
Trendlines gain much more strength when used alongside other analytical tools :
Horizontal support and resistance levels
Moving averages (such as EMA 50 or EMA 200)
Fibonacci retracement zones
Candlestick patterns (e.g., Engulfing, Pin Bar)
RSI or MACD divergences
Market structure breaks (BoS / ChoCH)
🔵 Settings
Pivot Period : This defines how sensitive the pivot detection is. A higher number means the algorithm will identify more significant pivot points, resulting in longer-term trendlines.
Alerts
Alert :
Enable or disable the entire alert system
Set a custom alert name
Choose how often alerts trigger (every time, once per bar, or on bar close)
Select the time zone for alert timestamps (e.g., UTC)
Each trendline type supports two alert types :
Break Alert : Triggered when price breaks the trendline
React Alert : Triggered when price reacts or bounces off the trendline
These alerts can be independently enabled or disabled for all trendline categories (Major/Minor, Internal/External, Up/Down).
Display :
For each of the eight trendline types, you can control :
Whether to show or hide the line
Whether to delete the previous line when a new one is drawn
Color, line style (solid, dashed, dotted), extension direction (e.g., right only), and width
Major lines are typically thicker and more opaque, while minor lines appear thinner and more transparent.
All settings are designed to give the user full control over the appearance, behavior, and alert system of the indicator, without requiring manual drawing or adjustments.
🔵 Conclusion
A trendline is more than just a line on the chart—it is a structural, strategic, and flexible tool in technical analysis that can serve as the foundation for understanding price behavior and making trading decisions. Whether in trending markets or during corrections, trendlines help traders identify market direction, key zones, and high-potential entry and exit points with precision.
The accuracy and effectiveness of a trendline depend on using structurally valid pivot points and adhering to proper market logic, rather than relying on guesswork or personal bias.
This indicator is built to solve that exact problem. It automatically detects and draws multiple types of trendlines based on actual price structure, separating them into Major/Minor and Internal/External categories, and respecting professional analytical principles such as pivot type, trend direction, and structural location.
Trendline Breaks with Multi Fibonacci Supertrend StrategyTMFS Strategy: Advanced Trendline Breakouts with Multi-Fibonacci Supertrend
Elevate your algorithmic trading with institutional-grade signal confluence
Strategy Genesis & Evolution
This advanced trading system represents the culmination of a personal research journey, evolving from my custom " Multi Fibonacci Supertrend with Signals " indicator into a comprehensive trading strategy. Built upon the exceptional trendline detection methodology pioneered by LuxAlgo in their " Trendlines with Breaks " indicator, I've engineered a systematic framework that integrates multiple technical factors into a cohesive trading system.
Core Fibonacci Principles
At the heart of this strategy lies the Fibonacci sequence application to volatility measurement:
// Fibonacci-based factors for multiple Supertrend calculations
factor1 = input.float(0.618, 'Factor 1 (Weak/Fibonacci)', minval = 0.01, step = 0.01)
factor2 = input.float(1.618, 'Factor 2 (Medium/Golden Ratio)', minval = 0.01, step = 0.01)
factor3 = input.float(2.618, 'Factor 3 (Strong/Extended Fib)', minval = 0.01, step = 0.01)
These precise Fibonacci ratios create a dynamic volatility envelope that adapts to changing market conditions while maintaining mathematical harmony with natural price movements.
Dynamic Trendline Detection
The strategy incorporates LuxAlgo's pioneering approach to trendline detection:
// Pivotal swing detection (inspired by LuxAlgo)
pivot_high = ta.pivothigh(swing_length, swing_length)
pivot_low = ta.pivotlow(swing_length, swing_length)
// Dynamic slope calculation using ATR
slope = atr_value / swing_length * atr_multiplier
// Update trendlines based on pivot detection
if bool(pivot_high)
upper_slope := slope
upper_trendline := pivot_high
else
upper_trendline := nz(upper_trendline) - nz(upper_slope)
This adaptive trendline approach automatically identifies key structural market boundaries, adjusting in real-time to evolving chart patterns.
Breakout State Management
The strategy implements sophisticated state tracking for breakout detection:
// Track breakouts with state variables
var int upper_breakout_state = 0
var int lower_breakout_state = 0
// Update breakout state when price crosses trendlines
upper_breakout_state := bool(pivot_high) ? 0 : close > upper_trendline ? 1 : upper_breakout_state
lower_breakout_state := bool(pivot_low) ? 0 : close < lower_trendline ? 1 : lower_breakout_state
// Detect new breakouts (state transitions)
bool new_upper_breakout = upper_breakout_state > upper_breakout_state
bool new_lower_breakout = lower_breakout_state > lower_breakout_state
This state-based approach enables precise identification of the exact moment when price breaks through a significant trendline.
Multi-Factor Signal Confluence
Entry signals require confirmation from multiple technical factors:
// Define entry conditions with multi-factor confluence
long_entry_condition = enable_long_positions and
upper_breakout_state > upper_breakout_state and // New trendline breakout
di_plus > di_minus and // Bullish DMI confirmation
close > smoothed_trend // Price above Supertrend envelope
// Execute trades only with full confirmation
if long_entry_condition
strategy.entry('L', strategy.long, comment = "LONG")
This strict requirement for confluence significantly reduces false signals and improves the quality of trade entries.
Advanced Risk Management
The strategy includes sophisticated risk controls with multiple methodologies:
// Calculate stop loss based on selected method
get_long_stop_loss_price(base_price) =>
switch stop_loss_method
'PERC' => base_price * (1 - long_stop_loss_percent)
'ATR' => base_price - long_stop_loss_atr_multiplier * entry_atr
'RR' => base_price - (get_long_take_profit_price() - base_price) / long_risk_reward_ratio
=> na
// Implement trailing functionality
strategy.exit(
id = 'Long Take Profit / Stop Loss',
from_entry = 'L',
qty_percent = take_profit_quantity_percent,
limit = trailing_take_profit_enabled ? na : long_take_profit_price,
stop = long_stop_loss_price,
trail_price = trailing_take_profit_enabled ? long_take_profit_price : na,
trail_offset = trailing_take_profit_enabled ? long_trailing_tp_step_ticks : na,
comment = "TP/SL Triggered"
)
This flexible approach adapts to varying market conditions while providing comprehensive downside protection.
Performance Characteristics
Rigorous backtesting demonstrates exceptional capital appreciation potential with impressive risk-adjusted metrics:
Remarkable total return profile (1,517%+)
Strong Sortino ratio (3.691) indicating superior downside risk control
Profit factor of 1.924 across all trades (2.153 for long positions)
Win rate exceeding 35% with balanced distribution across varied market conditions
Institutional Considerations
The strategy architecture addresses execution complexities faced by institutional participants with temporal filtering and date-range capabilities:
// Time Filter settings with flexible timezone support
import jason5480/time_filters/5 as time_filter
src_timezone = input.string(defval = 'Exchange', title = 'Source Timezone')
dst_timezone = input.string(defval = 'Exchange', title = 'Destination Timezone')
// Date range filtering for precise execution windows
use_from_date = input.bool(defval = true, title = 'Enable Start Date')
from_date = input.time(defval = timestamp('01 Jan 2022 00:00'), title = 'Start Date')
// Validate trading permission based on temporal constraints
date_filter_approved = time_filter.is_in_date_range(
use_from_date, from_date, use_to_date, to_date, src_timezone, dst_timezone
)
These capabilities enable precise execution timing and market session optimization critical for larger market participants.
Acknowledgments
Special thanks to LuxAlgo for the pioneering work on trendline detection and breakout identification that inspired elements of this strategy. Their innovative approach to technical analysis provided a valuable foundation upon which I could build my Fibonacci-based methodology.
This strategy is shared under the same Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) license as LuxAlgo's original work.
Past performance is not indicative of future results. Conduct thorough analysis before implementing any algorithmic strategy.
Machine Learning Trendlines Cluster [LuxAlgo]The ML Trendlines Cluster indicator allows traders to automatically identify trendlines using a machine learning algorithm based on k-means clustering and linear regression, highlighting trendlines from clustered prices.
For trader's convenience, trendlines can be filtered based on their slope, allowing them to filter out trendlines that are too horizontal, or instead keep them depending on the user-selected settings.
🔶 USAGE
Traders only need to set the number of trendlines (clusters) they want the tool to detect and the algorithm will do the rest.
By default the tool is set to detect 4 clusters over the last 500 bars, in the image above it is set to detect 10 clusters over the same period.
This approach only focuses on drawing trendlines from prices that share a common trading range, offering a unique perspective to traditional trendlines. Trendlines with a significant slope can highlight higher dispersion within its cluster.
🔹 Trendline Slope Filtering
Traders can filter trendlines by their slope to display only steep or flat trendlines relative to a user-defined threshold.
The image above shows the three different configurations of this feature:
Filtering disabled
Filter slopes above threshold
Filter slopes below threshold
🔶 DETAILS
K-means clustering is a popular machine-learning algorithm that finds observations in a data set that are similar to each other and places them in a group.
The process starts by randomly assigning each data point to an initial group and calculating the centroid for each. A centroid is the center of the group. K-means clustering forms the groups in such a way that the variances between the data points and the centroid of the cluster are minimized.
The trendlines are displayed according to the linear regression function calculated for each cluster.
🔶 SETTINGS
Window Size: Maximum number of bars to get data from
Clusters: Maximum number of clusters (trendlines) to detect
🔹 Optimization
Maximum Iteration Steps: Maximum loop iterations for cluster computation
🔹 Slope Filter
Threshold Multiplier: Multiplier applied to a volatility measure, higher multiplier equals higher threshold
Filter Slopes: Enable/Disable Trendline Slope Filtering, select to filter trendlines with slopes ABOVE or BELOW the threshold
🔹 Style
Upper Zone: Color to display in the top zone
Lower Zone: Color to display in the bottom zone
Lines: Style for the lines
Size: Line size
[GrandAlgo] ATR Trend MatrixThe ATR Trend Matrix is a dynamic trendline indicator designed to help traders visualize market structure using ATR-based trend projections. This tool adapts to price action and highlights potential support and resistance zones based on Average True Range (ATR) calculations.
Key Features
ATR-Based Trendlines – Calculates and plots dynamic trendlines using an adjustable ATR factor.
Multi-Level Matrix System – Provides up to four matrix levels, each customizable with different ATR multipliers.
Swing High & Low Detection – Automatically detects market pivots to serve as anchor points for trendlines.
Adjustable Trend Length – Fine-tune the sensitivity of trendlines using the Swing Length and Trend-Line Length Multiplier.
Auto-Adjustment Mode – When enabled, trendlines update dynamically as ATR evolves.
Buy & Sell Signals – Marks potential trade setups when price crosses below or above Matrix Level 1.
How It Works
Detects Swing Points – Identifies key highs and lows in the market using the length setting.
Plots ATR-Based Trendlines – Calculates trendlines using ATR with user-defined multipliers for four matrix levels.
Adjusts Dynamically – If Auto Adjust is enabled, trendlines shift with ATR movements.
Identifies Trade Signals – Highlights potential buy/sell zones when price interacts with Matrix Level 1 trendlines.
Manages Active Trendlines – Automatically updates and removes trendlines based on price interaction.
User Settings
General Settings
ATR Factor – Controls the ATR multiplier for trendline calculation.
Swing Length – Defines the number of bars for swing high/low detection.
Trend-Line Length Multiplier – Adjusts the extension length of trendlines.
Auto Adjust Trendlines – Enables real-time adjustment of trendlines as ATR changes.
Matrix Settings
Matrix Level 1-4 – Enable or disable individual trendline levels.
Matrix Factors – Customize the ATR multipliers for each matrix level.
Trading Applications
Trend Confirmation – Use the primary trendline and matrix levels to gauge trend strength.
Support & Resistance Zones – ATR-based trendlines can act as dynamic support/resistance.
Breakout & Rejection Signals – Identify potential breakouts or reversals when price interacts with matrix levels.
Volatility-Based Trading – ATR helps adjust trendlines based on market volatility.
The ATR Trend Matrix is a powerful tool for traders who want a dynamic, adaptive trendline system that reacts to market structure and volatility. With customizable settings, multi-level ATR projections, and trade signal detection, this indicator provides a comprehensive approach to price action analysis.
MEMEQUANTMEMEQUANT
This script is a comprehensive and specialized tool designed for tracking trends and money flow within meme coins and DEX tokens. By combining various features such as trend lines, Fibonacci levels, and category-based indices, it helps traders make informed decisions in highly volatile markets.
Key Features:
1. Category-Based Indices:
• Tracks the performance of token categories like:
• AI Agent Tokens
• AI Tokens
• Animal Tokens
• Murad Picks
• Each category consists of leader tokens, which are selected based on their higher market cap and trading volume. These tokens act as benchmarks for their respective categories.
• Visualizes category indices in a line chart to identify trends and compare money flow between categories.
2. Fibonacci Correction Zones:
• Highlights key retracement levels (e.g., 60%, 70%, 80%).
• These levels are crucial for identifying potential reversal zones, commonly observed in meme coin trading patterns.
• Fully customizable to match individual trading strategies.
3. Trend Lines:
• Automatically detects major support and resistance levels.
• Separates long-term and short-term trend lines, allowing traders to focus on significant price movements.
4. Enhanced Info Table:
• Provides real-time insights, including:
• % Distance from All-Time High (ATH)
• Current Trading Volume
• 50-bar Average Volume
• Volume Change Percentage
• Displays information in an easy-to-read table on the chart.
5. Customizable Settings:
• Users can adjust transparency, colors, and ranges for Fibonacci zones, trend lines, and the table.
• Enables or disables individual features (e.g., Fibonacci, trend lines, table) based on preferences.
How It Works:
1. Tracking Money Flow Across Categories:
• The script calculates the market cap to volume ratio for each category of tokens to help identify the dominant trend.
• A higher ratio indicates greater liquidity and stability, while a lower ratio suggests higher volatility or price manipulation.
2. Identifying Retracement Patterns:
• Leverages common retracement behaviors (e.g., 70% correction levels) observed in meme coins to detect potential reversal zones.
• Combines this with trend line analysis for additional confirmation.
3. Leader Tokens as Indicators:
• Each category is represented by its leader tokens, which have historically higher liquidity and market cap. This allows the script to accurately reflect the overall trend in each category.
When to Use:
• Trend Analysis: To identify which category (e.g., AI Tokens or Animal Tokens) is leading the market.
• Reversal Zones: To spot potential support or resistance levels using Fibonacci zones.
• Money Flow: To understand how capital is moving across different token categories in real time.
Who Is This For?
This script is tailored for:
• Traders specializing in meme coins and DEX tokens.
• Those looking for an edge in trend-based trading by analyzing market cap, volume, and retracement levels.
• Anyone aiming to track money flow dynamics between different token categories.
Future Updates:
This is the initial version of the script. Future updates may include:
• Support for additional token categories and DEX data.
• More advanced pattern recognition and alerts for volume and price anomalies.
• Enhanced visualization for historical data trends.
With this tool, traders can combine money flow analysis with the 60-70% retracement strategy, turning it into a powerful assistant for navigating the fast-paced world of meme coins and DEX tokens.
This script is designed to provide meaningful insights and practical utility for traders, adhering to TradingView’s standards for originality, clarity, and user value.
Market StructureThis is an advanced, non-repainting Market Structure indicator that provides a robust framework for understanding market dynamics across any timeframe and instrument.
Key Features:
- Non-repainting market structure detection using swing highs/lows
- Clear identification of internal and general market structure levels
- Breakout threshold system for structure adjustments
- Integrated multi-timeframe compatibility
- Rich selection of 30+ moving average types, from basic to advanced adaptive variants
What Makes It Different:
Unlike most market structure indicators that repaint or modify past signals, this implementation uses a fixed-length lookback period to identify genuine swing points.
This means once a structure level or pivot is identified, it stays permanent - providing reliable signals for analysis and trading decisions.
The indicator combines two layers of market structure:
1. Internal Structure (lighter lines) - More sensitive to local price action
2. General Structure (darker lines) - Shows broader market context
Technical Details:
- Uses advanced pivot detection algorithm with customizable swing size
- Implements consecutive break counting for structure adjustments
- Supports both close and high/low price levels for breakout detection
- Includes offset option for better visual alignment
- Each structure break is validated against multiple conditions to prevent false signals
Offset on:
Offset off:
Moving Averages Library:
Includes comprehensive selection of moving averages, from traditional to advanced adaptive types:
- Basic: SMA, EMA, WMA, VWMA
- Advanced: KAMA, ALMA, VIDYA, FRAMA
- Specialized: Hull MA, Ehlers Filter Series
- Adaptive: JMA, RPMA, and many more
Perfect for:
- Price action analysis
- Trend direction confirmation
- Support/resistance identification
- Market structure trading strategies
- Multiple timeframe analysis
This open-source tool is designed to help traders better understand market dynamics and make more informed trading decisions. Feel free to use, modify, and enhance it for your trading needs.
Linear Regression Channel [TradingFinder] Existing Trend Line🔵 Introduction
The Linear Regression Channel indicator is one of the technical analysis tool, widely used to identify support, resistance, and analyze upward and downward trends.
The Linear Regression Channel comprises five main components : the midline, representing the linear regression line, and the support and resistance lines, which are calculated based on the distance from the midline using either standard deviation or ATR.
This indicator leverages linear regression to forecast price changes based on historical data and encapsulates price movements within a price channel.
The upper and lower lines of the channel, which define resistance and support levels, assist traders in pinpointing entry and exit points, ultimately aiding better trading decisions.
When prices approach these channel lines, the likelihood of interaction with support or resistance levels increases, and breaking through these lines may signal a price reversal or continuation.
Due to its precision in identifying price trends, analyzing trend reversals, and determining key price levels, the Linear Regression Channel indicator is widely regarded as a reliable tool across financial markets such as Forex, stocks, and cryptocurrencies.
🔵 How to Use
🟣 Identifying Entry Signals
One of the primary uses of this indicator is recognizing buy signals. The lower channel line acts as a support level, and when the price nears this line, the likelihood of an upward reversal increases.
In an uptrend : When the price approaches the lower channel line and signs of upward reversal (e.g., reversal candlesticks or high trading volume) are observed, it is considered a buy signal.
In a downtrend : If the price breaks the lower channel line and subsequently re-enters the channel, it may signal a trend change, offering a buying opportunity.
🟣 Identifying Exit Signals
The Linear Regression Channel is also used to identify sell signals. The upper channel line generally acts as a resistance level, and when the price approaches this line, the likelihood of a price decrease increases.
In an uptrend : Approaching the upper channel line and observing weakness in the uptrend (e.g., declining volume or reversal patterns) indicates a sell signal.
In a downtrend : When the price reaches the upper channel line and reverses downward, this is considered a signal to exit trades.
🟣 Analyzing Channel Breakouts
The Linear Regression Channel allows traders to identify price breakouts as strong signals of potential trend changes.
Breaking the upper channel line : Indicates buyer strength and the likelihood of a continued uptrend, often accompanied by increased trading volume.
Breaking the lower channel line : Suggests seller dominance and the possibility of a continued downtrend, providing a strong sell signal.
🟣 Mean Reversion Analysis
A key concept in using the Linear Regression Channel is the tendency for prices to revert to the midline of the channel, which acts as a dynamic moving average, reflecting the price's equilibrium over time.
In uptrends : Significant deviations from the midline increase the likelihood of a price retracement toward the midline.
In downtrends : When prices deviate considerably from the midline, a return toward the midline can be used to identify potential reversal points.
🔵 Settings
🟣 Time Frame
The time frame setting enables users to view higher time frame data on a lower time frame chart. This feature is especially useful for traders employing multi-time frame analysis.
🟣 Regression Type
Standard : Utilizes classical linear regression to draw the midline and channel lines.
Advanced : Produces similar results to the standard method but may provide slightly different alignment on the chart.
🟣 Scaling Type
Standard Deviation : Suitable for markets with stable volatility.
ATR (Average True Range) : Ideal for markets with higher volatility.
🟣 Scaling Coefficients
Larger coefficients create broader channels for broader trend analysis.
Smaller coefficients produce tighter channels for precision analysis.
🟣 Channel Extension
None : No extension.
Left: Extends lines to the left to analyze historical trends.
Right : Extends lines to the right for future predictions.
Both : Extends lines in both directions.
🔵 Conclusion
The Linear Regression Channel indicator is a versatile and powerful tool in technical analysis, providing traders with support, resistance, and midline insights to better understand price behavior. Its advanced settings, including time frame selection, regression type, scaling options, and customizable coefficients, allow for tailored and precise analysis.
One of its standout advantages is its ability to support multi-time frame analysis, enabling traders to view higher time frame data within a lower time frame context. The option to use scaling methods like ATR or standard deviation further enhances its adaptability to markets with varying volatility.
Designed to identify entry and exit signals, analyze mean reversion, and assess channel breakouts, this indicator is suitable for a wide range of markets, including Forex, stocks, and cryptocurrencies. By incorporating this tool into your trading strategy, you can make more informed decisions and improve the accuracy of your market predictions.
EMA Hierarchy Score V.1.0
EMA Hierarchy Score V.1.0
Purpose
The EMA Hierarchy Score indicator assesses the relative positioning of multiple Exponential Moving Averages (EMAs) for a financial asset. This tool provides insights into trend strength by calculating ideal and non-ideal configurations of EMAs, allowing for effective interpretation when used alongside standard EMA charts.
Variables and Inputs
The indicator organizes a set of EMAs and other metrics into a hierarchy for scoring:
* Primary Variables (A–J):
A: Close price
B: Open price
C: Previous close price
D to J: EMAs of configurable periods (5, 9, 13, 21, 26, 52, 100).
* User Inputs:
* Customizable periods for each EMA, allowing users to adjust the indicator’s sensitivity.
* Customizable period and standard deviation multiplier for Bollinger Bands, enabling further control over the indicator’s analysis.
Mathematical Method
The EMA Hierarchy Score calculates how closely the current EMA structure aligns with an “ideal” configuration through a structured scoring system:
1- Hierarchy Scoring:
* Ideal Order: Defined as A > B > C > D > E > F > G > H > I > J, representing a strong upward trend where each EMA progressively increases.
* Non-Ideal Order: Defined as J > I > H > G > F > E > D > C > B > A, indicating a weak or downward trend where each EMA progressively decreases.
* Optimal Order: Calculated based on achieving maximum alignment with the ideal configuration for each EMA across the chosen period.
* Sub-Optimal Order: The least-aligned structure across the same period.
2- Score Calculation:
* The indicator calculates a score by comparing all EMA pairs in values. For each comparison, a score increment of +1 (ideal) or -1 (non-ideal) is applied.
* The final score reflects the EMA configuration’s deviation from the ideal order:
- Positive Score: Indicates closer alignment with the ideal structure.
- Negative Score: Indicates deviation toward a non-ideal structure.
3- Smoothed and Signal Lines:
* A smoothed score is created using a Simple Moving Average (SMA) of the raw hierarchy score.
* A signal line (an SMA of the smoothed score) further aids in tracking directional shifts in the score.
4- Trend Labels and Bollinger Bands:
* Trend Labels: Display "UP" or "DOWN" based on the smoothed score’s relationship to the signal line.
* Bollinger Bands: Plotted around a selected source (smoothedLine, signalLine, or score) to analyze score volatility and deviations from the mean. The period and standard deviation multiplier for Bollinger Bands are user-configurable.
Result Definition
The Ideal and Non-Ideal Scores represent the upper and lower bounds of achievable configurations, ensuring the score does not exceed these values.
1- Ideal and Non-Ideal Result:
* Calculated based on how closely the current EMA configuration follows the “ideal” ascending or descending order.
* Ideal Score: Defined as +165, representing perfect alignment with the ideal configuration.
* Non-Ideal Score: Defined as -165, indicating full alignment with the descending, non-ideal structure.
* The score is bounded by these values and will not go above or below this range.
2- Optimal and Sub-Optimal Scores:
* Optimal Score: The highest score over the selected scoring period, calculated with the same period as the Bollinger Bands. Using consistent periods reinforces the reliability of the score by aligning with the period already used to gauge volatility.
* Sub-Optimal Score: The lowest score over the same period, capturing points of minimal alignment with the ideal order.
Interpretation and Analysis
1- Use with EMA Charts:
* This indicator is designed to be used alongside EMA charts, as its results provide insights into the relative order of EMAs and their alignment with trend strength.
* The EMA Hierarchy Score interprets the underlying EMA structure, offering additional context on whether current trends are aligned with optimal or non-optimal EMA configurations.
2- Ideal and Non-Ideal Analysis:
* A positive EMA Hierarchy Score indicates an orderly, ideal upward trend, suggesting stronger alignment with the ideal structure.
* A negative score signals a potential downward trend or deviation from the ideal structure.
3 - Trend Indicators and Bands:
* Trend Labels: The "UP" and "DOWN" labels offer real-time feedback on trend direction shifts, based on the smoothed score and signal line relationship.
* Bollinger Bands: Visualize the range of score fluctuations, helping to identify breakout or breakdown points.
4 - Optimal and Sub-Optimal Scores:
* Use the Optimal Score to understand peak trend alignment and Sub-Optimal Score to spot potential reversal or correction zones.
* A consistently high score over time indicates trend stability, while variations may suggest instability.
Quick Reference Table
The table displayed at the top right provides an at-a-glance view of key metrics:
* Ideal and Non-Ideal Score: Fixed at ±165 to represent the calculated ideal and non-ideal configuration.
* Optimal and Sub-Optimal Scores: Show maximum and minimum scores over the scoring period, color-coded green for positive and red for negative values.
This concise table helps users quickly assess indicator values, reducing the need to interpret multiple chart lines and making it easier to understand overall trend strength.
Disclaimer
The EMA Hierarchy Score V.1.0 is a technical analysis tool designed to assist in understanding the alignment and strength of trends as defined by EMA configurations. This indicator does not constitute investment advice, nor does it make specific recommendations for buying or selling assets. Users should consult with a financial advisor before making any trading decisions, as past performance or technical signals do not guarantee future results. The developers of this indicator disclaim all liability for potential financial losses arising from reliance on this tool. Users assume full responsibility for interpreting and applying the indicator’s outputs in their investment decisions.
TrendLines MTF [Cometreon]Trendline is an advanced indicator designed to automatically plot all trendlines on the chart and signal when they are broken, adapting to any symbol and timeframe, including larger ones. This innovative tool uses advanced algorithms to continuously analyze market data, automatically identifying and drawing trendlines on the chart. Trendline offers traders an immediate and clear visualization of market dynamics, saving time in manual analysis and optimizing trading decisions.
Key Features:
Automatic Plotting: The indicator automatically draws and updates trendlines, providing a real-time overview of market trends.
Breakout and Bounce Signaling: Provides immediate notifications when a trendline is broken or the price bounces off it, allowing traders to react promptly to market changes.
Customization: Offers the ability to modify length, touches, colors, and line style to suit individual preferences.
Information Table: Includes a detailed table showing the values of all active trendlines, facilitating the monitoring of key market points.
Configurable Alerts: Allows setting custom alerts for breakouts, bounces, or creation of new trendlines.
Technical Details and Customizable Inputs:
Trendline offers a range of customizable inputs that allow adapting the indicator to specific needs:
Trendline Type: Select between active trendlines, broken ones, both, or none.
Left and Right Length: Defines the extension of maximum and minimum points to identify Trendlines.
Timeframe: You can also modify the timeframe of Trendlines to display a higher timeframe.
Confirm at Timeframe: Allows you to confirm the Trendlines using the chart's timeframe instead of the selected one. This checks whether a candle has already broken the line previously.
Delete at Timeframe: input to remove trendlines based on breakouts with chart candles, instead of using candles of a higher timeframe.
Touch Need: Sets the number of touches needed to confirm a Trendline.
Max Trend Line for Level: Limits the maximum number of Trendlines in a single level.
Extended Line After Break: Option to extend broken Trendlines by a specific value.
Session Range: The "Session Range" offers two options: select a specific date or a period relative to the last candle. The input allows choosing between "Choose" and "Pick Up".
With "Choose", you select a relative period, with two modes:
- Last: shows the trendlines of the selected period, compatible with Replay.
- Real Time: displays all TrendLines, searching from the last selected period.
Example: "1 Month" with "Last" shows the TrendLines from the previous month, while "Real Time" searches without time limits but uses the values from the last month. This allows defining the search depth of the indicator, crucial for computing power. In case of issues, use "Auto".
Trendlines Style: Modify the style for each type of Trendlines (Valid, Break) including color, style, and line thickness.
Trends Trendlines: Enable/disable two different trends:
- Trend Bar Color: based on TrendLines breakouts. Breaking a bearish TrendLine results in a bullish trend, vice versa for breaking a bullish TrendLine.
- Trend Background: based on the number of active TrendLines. For example, if the number of bullish TrendLines is greater than the "Strength", the trend will be bullish.
Signal Style: You can enable or disable breakout and bounce signals, with customizable colors for each signal type.
Alert: Set notifications for breakouts, bounces, or formation of new Trendlines.
Table: Customize the table showing the values of all active trendlines, facilitating the monitoring of key market points. You can modify the appearance of the table, changing the color of cells and text.
These options allow you to optimize the indicator for different trading styles and market conditions, ensuring precise and personalized technical analysis.
How to Use Trendlines:
Market Analysis: Use the displayed Trendlines as critical indicators of market dynamics to make informed trading decisions.
Signal Interpretation: Leverage Trendline breakouts and bounces to identify potential trend changes and trading opportunities.
Strategy Integration: Use Trendlines and generated signals as a basis for creating personalized and innovative trading strategies.
With Trendlines, you can simplify your market analysis, saving time and improving the accuracy of your decisions with clearly visualized and customizable Trendlines.
Don't waste any more time and visit the link to get access to all Cometreon indicators.
Hodrick-Prescott Cycle Component (YavuzAkbay)The Hodrick-Prescott Cycle Component indicator in Pine Script™ is an advanced tool that helps traders isolate and analyze the cyclical deviations in asset prices from their underlying trend. This script calculates the cycle component of the price series using the Hodrick-Prescott (HP) filter, allowing traders to observe and interpret the short-term price movements around the long-term trend. By providing two views—Percentage and Price Difference—this indicator gives flexibility in how these cyclical movements are visualized and interpreted.
What This Script Does
This indicator focuses exclusively on the cycle component of the price, which is the deviation of the current price from the long-term trend calculated by the HP filter. This deviation (or "cycle") is what traders analyze for mean-reversion opportunities and overbought/oversold conditions. The script allows users to see this deviation in two ways:
Percentage Difference: Shows the deviation as a percentage of the trend, giving a normalized view of the price’s distance from its trend component.
Price Difference: Shows the deviation in absolute price terms, reflecting how many price units the price is above or below the trend.
How It Works
Trend Component Calculation with the HP Filter: Using the HP filter, the script isolates the trend component of the price. The smoothness of this trend is controlled by the smoothness parameter (λ), which can be adjusted by the user. A higher λ value results in a smoother trend, while a lower λ value makes it more responsive to short-term changes.
Cycle Component Calculation: Percentage Deviation (cycle_pct) calculated as the difference between the current price and the trend, divided by the trend, and then multiplied by 100. This metric shows how far the price deviates from the trend in relative terms. Price Difference (cycle_price) simply the difference between the current price and the trend component, displaying the deviation in absolute price units.
Conditional Plotting: The user can choose to view the cycle component as either a percentage or a price difference by selecting the Display Mode input. The indicator will plot the chosen mode in a separate pane, helping traders focus on the preferred measure of deviation.
How to Use This Indicator
Identify Overbought/Oversold Conditions: When the cycle component deviates significantly from the zero line (shown with a dashed horizontal line), it may indicate overbought or oversold conditions. For instance, a high positive cycle component suggests the price may be overbought relative to the trend, while a large negative cycle suggests potential oversold conditions.
Mean-Reversion Strategy: In mean-reverting markets, traders can use this indicator to spot potential reversal points. For example, if the cycle component shows an extreme deviation from zero, it could signal that the price is likely to revert to the trend. This can help traders with entry and exit points when the asset is expected to correct back toward its trend.
Trend Strength and Cycle Analysis: By comparing the magnitude and duration of deviations, traders can gauge the strength of cycles and assess if a new trend might be forming. If the cycle component remains consistently positive or negative, it may indicate a persistent market bias, even as prices fluctuate around the trend.
Percentage vs. Price Difference Views: Use the Percentage Difference mode to standardize deviations and compare across assets or different timeframes. This is especially helpful when analyzing assets with varying price levels. Use the Price Difference mode when an absolute deviation (price units) is more intuitive for spotting overbought/oversold levels based on the asset’s actual price.
Using with Hodrick-Prescott: You can also use Hodrick-Prescott, another indicator that I have adapted to the Tradingview platform, to see the trend on the chart, and you can also use this indicator to see how far the price is deviating from the trend. This gives you a multifaceted perspective on your trades.
Practical Tips for Traders
Set the Smoothness Parameter (λ): Adjust the λ parameter to match your trading timeframe and asset characteristics. Lower values make the trend more sensitive, which might suit short-term trading, while higher values smooth out the trend for long-term analysis.
Cycle Component as Confirmation: Combine this indicator with other momentum or trend indicators for confirmation of overbought/oversold signals. For example, use the cycle component with RSI or MACD to validate the likelihood of mean-reversion.
Observe Divergences: Divergences between price movements and the cycle component can indicate potential reversals. If the price hits a new high, but the cycle component shows a smaller deviation than previous highs, it could signal a weakening trend.
Hermes Reg FIBONACCI V.4Hermes Reg Fibonacci V.4 Indicator User Guide
Overview
The Hermes Reg Fibonacci V.4 indicator is a versatile tool used for identifying market trends and channels. This indicator analyzes price movements using logarithmic regression and Fibonacci levels, helping users determine the direction of the trend and identify support/resistance levels.
Parameters and Inputs
Source: The price data to be used in the calculations of the indicator. The default is the close price.
Length: The period length for the calculations of the indicator. The default is 262 and the minimum value is 10.
Deviation Multiplier (devlen): Set to 1.6.
Extend Lines: Determines whether the lines should be extended to the right of the chart.
Show Fibonacci Levels: Determines whether Fibonacci levels should be displayed.
Show Broken Channel: Determines whether to display the broken channel lines.
Up Trend Color (upcol): The color of the uptrend line.
Down Trend Color (dncol): The color of the downtrend line.
Fibonacci Up Trend Color (fibupcol): The color of the Fibonacci uptrend line.
Fibonacci Down Trend Color (fibdncol): The color of the Fibonacci downtrend line.
Channel Line Width (widt): The width of the channel line.
Fibonacci Line Width (fibwidt): The width of the Fibonacci line.
Working Mechanism of the Indicator
Logarithmic Source and Regression Channel Calculations:
The indicator takes the logarithm of the price data and calculates the logarithmic regression channel.
It calculates the middle line of the channel, slope, and the starting and ending points.
The standard deviation and the upper/lower boundaries of the channel are determined.
Channel and Fibonacci Levels:
Depending on user preferences, channel lines and Fibonacci levels are drawn on the chart.
Channel lines and Fibonacci levels are dynamically updated based on the slope and price movement.
When the channel is broken, it is displayed with the specified color and style.
Trend Direction and Alert Conditions:
The direction of the trend is determined based on whether the slope is positive or negative.
Alert conditions are defined for trend changes and channel breaks.
Symbols indicating the trend direction are displayed on the chart.
Usage Recommendations
Trend Following: The Hermes Reg Fibonacci V.4 indicator can be used to determine the current trend direction and identify potential trend reversal points.
Support and Resistance Levels: The indicator helps identify support and resistance levels by observing how the price moves within the channel.
Fibonacci Analysis: Fibonacci levels can be used to identify potential retracement and extension points.
Alerts and Notifications: Set alerts for trend changes and channel breaks to avoid missing important price movements.
The Hermes Reg Fibonacci V.4 indicator, with its user-friendly interface and flexible parameters, can be effectively used in different market conditions. By customizing the indicator, you can tailor it to suit your trading strategy.
Stochastic Trendlines with Breakouts [Jamshid] - EnhancedStochastic Trendlines with Breakouts - Enhanced Version
This advanced Stochastic Trendlines with Breakouts script combines several powerful features to provide enhanced breakout detection based on the Stochastic Oscillator and additional confirmation signals. This script is designed to help traders identify key trend reversals, breakout points, and pivot levels with more accuracy by integrating advanced filters such as RSI confirmation, moving average trend filtering, volatility filtering, divergence detection, and multi-timeframe analysis.
Key Features:
Stochastic Oscillator-Based Breakouts:
Automatically detects breakouts based on the smoothed Stochastic Oscillator values (%K and %D), providing insights into overbought and oversold conditions.
Customizable overbought and oversold levels, with a mid-level (50) line for additional reference.
Trendlines on Pivot Points:
Automatically plots dynamic trendlines based on pivot highs and lows of the smoothed Stochastic %K, helping to visualize potential reversal points.
RSI Confirmation (Optional):
Filters breakout signals using the Relative Strength Index (RSI) to confirm breakouts only when the RSI is below 50 for downtrend breakouts and above 50 for uptrend breakouts.
Visual confirmation with a green "RSI Conf." label displayed on the chart when the RSI condition is met.
Moving Average Filter (Optional):
Confirms breakout signals in the direction of a user-defined Moving Average (MA) to trade in the overall market trend direction.
MA length is fully customizable.
Stochastic Divergence Filter (Optional):
Detects bullish or bearish divergence between the price and Stochastic Oscillator values, adding an extra layer of confirmation.
Multi-Timeframe Confirmation (Optional):
Confirms breakouts by checking the Stochastic %K and %D values from a higher timeframe. This helps in avoiding false signals by aligning with the broader market trend.
The higher timeframe can be customized to any timeframe (e.g., daily, weekly, etc.).
Volatility Filter (Optional):
Uses the ATR (Average True Range) to filter out breakouts during periods of low volatility, ensuring signals are only triggered when there is sufficient price movement.
ATR length and multiplier are fully customizable.
Custom Alerts:
Alerts are available for new trendline detections (both pivot high and pivot low) and for confirmed breakout signals. These alerts help traders stay informed in real-time without needing to monitor the chart continuously.
How to Use:
Customize the Stochastic Oscillator settings, such as %K smoothing and %D line parameters, to fit your trading strategy.
Enable or disable additional filtering features (RSI, MA, divergence, MTF, volatility) as needed.
Set up alerts for specific breakout conditions directly in TradingView to stay notified when breakout signals are triggered.
This script is designed for traders who are looking for precision breakout signals with added layers of confirmation to avoid false breakouts and enhance trading accuracy.
Dynamic Touch Trendlines [QuantVue]The Dynamic Touch Trendlines (DTT) indicator automatically draws and manages trendlines on your chart, helping traders identify key support and resistance levels.
What sets the DTT indicator apart from other trendline indicators is its ability to let traders customize the number of touches required to validate a trendline. This flexibility allows you to fine-tune the indicator for different markets or trading styles, ensuring only strong trendlines with the specified number of touches are considered valid.
This indicator features both uptrend lines (drawn from pivot lows) and downtrend lines (drawn from pivot highs), making it suitable for detecting bullish and bearish trends.
An uptrend line connects three (default setting) or more significant lows, showing where price has historically found support. Traders often look for price to bounce off this line during pullbacks in an uptrend.
When price breaks below an uptrend line, it suggests a weakening of the bullish trend. This could mean that buyers are losing strength, and the market may be transitioning into a bearish phase, providing a potential opportunity for traders to enter short positions or exit long positions.
Conversely, a downtrend line connects three (default setting) or more significant highs, indicating potential resistance in a downtrend. Price action below this line can signal continued bearish momentum.
When price breaks above a downtrend line, it indicates a potential reversal of the bearish trend. This can signal the end of selling pressure and the beginning of a new bullish phase, offering traders a potential opportunity to enter long positions.
Key settings:
Minimum Touches: This sets the number of price touches required to validate a trendline. Increasing the minimum touches filters out weaker trends, ensuring that only more reliable trendlines are drawn.
Buffer: The buffer is used to account for minor price overshoots or near misses relative to the trendline. It creates a margin around the trendline, allowing price to come close to the line—whether it overshoots slightly or falls just short—and still count as a valid touch. This helps ensure that small price fluctuations or market noise don’t prevent valid trendline touches from being recognized, making the trendlines more reliable.
Trendline Break Source: Allows traders to define how a trendline is considered broken—either based on the close of the price bar or the wicks (highs and lows) of the price action.
The DTT indicator also features alerts whenever a new trendline is detected or an existing trendline is broken!
Trend LinesThis script, titled "Trend Lines," is designed to detect and plot significant trend lines on a TradingView chart, based on pivot points. It highlights both uptrend and downtrend lines using different colors and allows customization of line styles, including color and thickness. Here's a breakdown of how the script works:
Inputs
Left Bars (lb) and Right Bars (rb): These inputs determine the number of bars to the left and right of a pivot point used to identify significant highs and lows.
Show Pivot Points: A boolean input to display markers at detected pivot points on the chart.
Show Old Line as Dashed: A boolean input to display older trend lines as dashed for visual distinction.
Uptrend Line Color (ucolor) and Downtrend Line Color (dcolor): Color inputs to customize the appearance of uptrend and downtrend lines.
Uptrend Line Thickness (uthickness) and Downtrend Line Thickness (dthickness): Inputs to adjust the thickness of the trend lines.
Calculations
Pivot Highs and Lows: The script calculates potential pivot highs and lows by looking at lb bars to the left and rb bars to the right. If a bar's high is the highest (or low is the lowest) within this window, it is considered a pivot point.
Trend Lines: The script connects the most recent and previous pivot highs to form downtrend lines, and the most recent and previous pivot lows to form uptrend lines. These lines are drawn with the specified color and thickness.
Angles: The angle of each trend line is calculated to determine whether the trend is strengthening or weakening. If the trend changes significantly, the line's extension is adjusted accordingly.
Plotting
Pivot Point Markers: If Show Pivot Points is enabled, markers labeled "H" for highs and "L" for lows are plotted at the pivot points.
Trend Lines: The script draws lines between pivot points, coloring them according to the trend direction (uptrend or downtrend). If Show Old Line as Dashed is enabled, the script sets older lines to a dashed style to indicate they are no longer the most recent trend lines.
This script is useful for traders who want to visually identify key support and resistance levels based on historical price action, helping them to make more informed trading decisions. The customization options allow traders to tailor the appearance of the trend lines to suit their personal preferences or charting style.
Trendline Cross CountThe Trendline Cross Count indicator is an innovative technical analysis tool that revolutionizes the way traders interact with trendlines. This cutting-edge indicator doesn't just identify trendlines - it quantifies their impact on price action in real-time, providing traders with unprecedented insight into market structure.
Core Functionality:
Trendline Cross Quantification:
At the heart of this indicator is its ability to display the actual number of trendlines being crossed by the current price. The algorithm doesn't just count intersections; it evaluates the significance of each trendline, weighing factors such as trendline duration, number of touch points, and historical reliability.
Dynamic Trendline Generation:
The indicator employs an advanced pivot-based trendline detection system. It continuously scans the chart for significant pivot points and constructs trendlines based on these pivots. The innovation lies in its ability to adapt to changing market conditions, constantly updating its trendline library.
Confluence Analysis:
By tracking multiple trendlines simultaneously, the indicator provides a real-time measure of trendline confluence. This allows traders to identify areas where multiple significant trendlines converge, potentially signaling powerful support or resistance levels.
Key Inputs and Their Significance:
Trendline Source:
This input allows traders to select the price data used for trendline analysis. While the default is the closing price, the flexibility to choose other price points enables traders to tailor the analysis to their specific trading style or market preferences.
Pivot Size:
This crucial parameter defines the lookback period for identifying pivot points. The default value of 3 strikes a balance between sensitivity and reliability, but adjusting this value can dramatically alter the indicator's behavior. Lower values increase sensitivity but may introduce noise, while higher values provide more stable, long-term trendlines.
Pivot Sequence:
This innovative feature allows traders to focus on specific market structures. Options include:
"LL" (Lower Lows): Focuses on downtrends
"HH" (Higher Highs): Emphasizes uptrends
"Any": Provides a comprehensive view of all trendlines
What Makes It Unique:
The Trendline Cross Count indicator stands out due to several groundbreaking features:
Quantitative Trendline Analysis:
While most indicators simply draw trendlines, this tool quantifies their impact, providing a numerical representation of market structure complexity.
Adaptive Pivot Detection:
The indicator's ability to dynamically adjust its pivot detection based on market volatility ensures relevance across all market conditions.
Sequence-Based Filtering:
The unique pivot sequence option allows traders to focus on specific trend types, a feature not found in conventional trendline tools.
Real-Time Confluence Measurement:
By providing a live count of intersecting trendlines, traders gain instant insight into potential support and resistance strength.
Significance Algorithm:
Not all trendlines are created equal. This indicator employs an algorithm to weigh the importance of each trendline, ensuring that the cross count reflects truly significant levels.
This indicator represents a significant advancement in trendline analysis, offering insights that are not readily available through traditional methods. Its ability to quantify trendline interactions in real-time provides traders with a unique edge in understanding market structure and potential price movements. The Trendline Cross Count indicator is not just a tool, but a gateway to a new dimension of technical analysis.
Price Action Toolkit Lite [UAlgo]The Price Action Toolkit Lite is a comprehensive indicator designed to enhance your chart analysis with advanced price action tools. This powerful toolkit combines multiple technical analysis concepts to provide traders with a clear visualization of market structure, liquidity levels, order blocks, and trend lines. By integrating these elements, the indicator aims to offer a holistic view of price action, helping traders identify potential entry and exit points, as well as key levels of interest in the market.
🔶 Key Features
Market Structure Analysis: The indicator includes a ZigZag feature to highlight significant market highs and lows, aiding in the visualization of market structure changes and trends.
Liquidity Sweeps Detection: It identifies and displays liquidity sweeps, which are crucial for recognizing potential market reversals and areas of interest where significant price action is likely to occur.
Order Blocks: Automatically detects and draws order blocks, highlighting areas of institutional buying and selling pressure, which can serve as key support and resistance levels.
Trend Lines: The toolkit can draw and extend trend lines based on pivot points, providing a clear view of prevailing market trends and potential breakout points.
Customizable Settings: Users can adjust various settings, including the length of the ZigZag, liquidity detection sensitivity, the number of order blocks to display, and trend line detection parameters, allowing for a tailored analysis experience.
🔶 Disclaimer
The "Price Action Toolkit Lite " is intended for educational and informational purposes only.
It is not financial advice and should not be construed as such. Trading in financial markets involves substantial risk, including the risk of loss.
Past performance is not indicative of future results.
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