Recursive Micro Zigzag🎲 Overview
Zigzag is basic building block for any pattern recognition algorithm. This indicator is a research-oriented tool that combines the concepts of Micro Zigzag and Recursive Zigzag to facilitate a comprehensive analysis of price patterns. This indicator focuses on deriving zigzag on multiple levels in more efficient and enhanced manner in order to support enhanced pattern recognition.
The Recursive Micro Zigzag Indicator utilises the Micro Zigzag as the foundation and applies the Recursive Zigzag technique to derive higher-level zigzags. By integrating these techniques, this indicator enables researchers to analyse price patterns at multiple levels and gain a deeper understanding of market behaviour.
🎲 Concept:
Micro Zigzag Base : The indicator utilises the Micro Zigzag concept to capture detailed price movements within each candle. It allows for the visualisation of the sequential price action within the candle, aiding in pattern recognition at a micro level.
Basic implementation of micro zigzag can be found in this link - Micro-Zigzag
Recursive Zigzag Expansion : Building upon the Micro Zigzag base, the indicator applies the Recursive Zigzag concept to derive higher-level zigzags. Through recursive analysis of the Micro Zigzag's pivots, the indicator uncovers intricate patterns and trends that may not be evident in single-level zigzags.
Earlier implementations of recursive zigzag can be found here:
Recursive Zigzag
Recursive Zigzag - Trendoscope
And the libraries
rZigzag
ZigzagMethods
The major differences in this implementation are
Micro Zigzag Base - Earlier implementation made use of standard zigzag as base whereas this implementation uses Micro Zigzag as base
Not cap on Pivot depth - Earlier implementation was limited by the depth of level 0 zigzag. In this implementation, we are trying to build the recursive algorithm progressively so that there is no cap on the depth of level 0 zigzag. But, if we go for higher levels, there is chance of program timing out due to pine limitations.
These algorithms are useful in automatically spotting patterns on the chart including Harmonic Patterns, Chart Patterns, Elliot Waves and many more.
Cerca negli script per "trend"
Custom Trend Indicator with Reversal ArrowsThe Custom Trend Indicator with Reversal Arrows is a user-friendly script designed to help traders identify trends and trend reversals on the TradingView platform. This indicator analyzes price action and generates trend lines based on user-defined rules for uptrends, downtrends, and no-trend conditions. Additionally, it highlights trend reversal points with arrows for easy identification.
Features:
Customizable Line Offset Multiplier: Allows users to set the distance between the trend line and the candlesticks. This makes the trend lines more visually discernible.
Trend Identification:
Uptrend: The indicator plots a green line when the current high, low, and close are greater than the previous high, low, and close, respectively.
Downtrend: The indicator plots a red line when the current high, low, and close are less than the previous high, low, and close, respectively.
No Trend: The indicator plots a black line when neither an uptrend nor a downtrend is identified.
Trend Reversal Arrows: The script displays green arrows pointing upwards for bullish trend reversals and red arrows pointing downwards for bearish trend reversals.
To use this indicator, simply copy and paste the provided Pine Script into the Pine editor on TradingView, and add the indicator to your chart. This powerful and customizable tool will enhance your ability to identify trends and capitalize on trend reversals in your trading strategy.
Please note that this indicator is intended for educational purposes only and should not be considered as financial advice. Always perform your own due diligence and consult with a financial professional before making any trading decisions.
Recursive Reversal Chart Patterns [Trendoscope]Caution: This algorithm is very heavy and bound to cause timeouts. If that happens, there are few settings you can change to reduce the load. (Will explain them in the description below)
🎲 Recursive Reversal Chart Patterns Indicator
Welcome to another exploration of Zigzag and Pattern ecosystem components. Previously we derived Pitchfork and Recursive Zigzag indicators. This indicator is designed to scan and highlight few popular "Reversal Chart Patterns". Similar to other indicators in the ecosystem, this too is built on recursive zigzags.
Double Taps
Triple Taps
Cup and Handles
Head and Shoulders
Indicator however names the patterns separately for bullish and bearish formations. So, the actual names you see on the screen are
Double Top
Double Bottom
Triple Top
Triple Bottom
Cup and Handle
Inverted Cup and Handle
Head and Shoulders
Inverse Head and Shoulders
Here is a snapshot on how each category of patterns look on the chart.
🎲 Architecture
Many of you may be cursing me for publishing too many libraries. But, these are all preparations for something big. Like other indicators in the Zigzag and Patterns Ecosystem, this too uses a bunch of libraries.
🎯Major direct dependencies
ZigzagTypes
ZigzagMethods
ReversalChartPatternLibrary
🎯Indirect dependencies
DrawingTypes
DrawingMethods
🎯Minor dependencies
Utils
TradeTracker
🎲 Indicator Settings
🎯Generic and Zigzag Settings.
Note: In case of timeout, please decrease the value of depth parameter
🎯Pattern Selection
Having all the patterns selected on chart may also cause timeouts and will make the chart look messy. It is better to limit one or two patterns on the chart to have clear picture.
🎯Scanner Settings
🎯Indicators.
These are options to use indicators as secondary confirmation to calculate divergence. If selected, the patterns are shown only if the divergence data is inline. Option also available to plugin external indicator. These calculations are not straightforward and not easy to measure by manual inspection. This feature at present is purely experimental.
Have a go and let me know how you feel :)
Session Filter [Trendoscope]🎲 Session Filter: A Customisable Trading Indicator for Defining Preferred Trade Sessions
Session Filter is a simple trading indicator that enables traders to define their preferred trading sessions and optimise their approach based on individual preferences. By providing a range of flexible customisation options, Session Filter can help traders reduce risk, increase accuracy, by helping them to adhere to their trading sessions. Features include
🎯 Customisable Trading Sessions
One of the key features of Session Filter is the ability to select from four different trading sessions. These sessions are designed to be flexible, making it easy to tailor your approach to specific markets, assets, and trading styles. By selecting the sessions that are most relevant to your strategy, you can reduce the risk of making trades during less favourable market conditions.
For example, if you prefer to trade during the Asian session, you can set the session times to "Asian Session" in input settings. This will highlight the specific times when the Asian markets are open, allowing you to focus your trading activity during these periods. By doing so, you can avoid trading during times when the market is less active or more volatile.
🎯 Customisable Timezone and Days of the Week:
In addition to customisable trading sessions, Session Filter also allows users to select a timezone and specific days of the week. This ensures that the displayed trading zones and signals are aligned with your local time, and that you can tailor your approach to your preferred schedule. This is particularly useful for traders who have other commitments, or who prefer to focus on specific markets or assets on certain days.
For example, if you are based in New York and prefer to trade during the European session, you can select the "European Session" option in Session Filter and adjust the timezone to reflect your local time. You can also select specific days of the week when you prefer to trade during the European session, such as Tuesday through Thursday. This allows you to optimize your approach based on your personal preferences and schedule.
🎯 Easy Visual Interpretation:
Session Filter uses green and red overlays on the chart to indicate the trading zones, making it easy for users to visually identify their trading sessions
For example, when a green overlay is displayed on the chart, this indicates that the market is within the selected trading session and that it may be a good time to start trade. Conversely, when a red overlay is displayed, this indicates that the market is outside of the selected trading session and that it may be a good time close all trading. By providing this visual feedback, Session Filter helps traders stay focused and disciplined, and avoid making impulsive trading decisions.
🎯Force Exit Signal for Risk Management:
Session Filter also offers the ability to generate a force exit signal when not in any of the selected sessions. This can be used in conjunction with alerts to exit all trades outsize session zone.
For example, if you are using Session Filter to trade during the European session, but the market is particularly volatile during a specific day, the force exit signal will be generated to indicate that it may be a good time to exit your trade. This helps you avoid potential losses and stay disciplined during periods of market turbulence.
🎯External Signal Plots:
In addition to the chart overlays, Session Filter also plots signals on the data window that can be used as external inputs in other indicators and strategies. This feature allows traders to incorporate the signals generated by Session Filter into their existing trading systems and this can be used as additional filters on an existing strategy or methodology.
🎯Alerts using Alert Conditions
Alerts are provided for start and end of session so that users can make use of it to set auto turn on or off their bots.
Settings are pretty simple and are explained here.
Recursive Zigzag [Trendoscope]Here is an another outcome of Object Oriented Zigzag and Pattern Ecosystem of Libraries.
We already have another implementation of recursive zigzag which makes use of earlier library rzigzag . Here in this example, we make use of similar logic but leverage the new type and method based Zigzag system libraries to derive the indicator.
🎲 Design Overview
Similar to Recursive Auto Pitchfork, here too the indicator code is around 50 lines. Whereas most of the heavy lifting is done by the libraries.
🎲 Base Libraries
Base libraries are those which does not have any dependency. They form basic structures which are later used in other libraries. These libraries need to be crafted carefully so that minimal updates are done later on. Any updates on these libraries will impact all the dependent libraries and scripts.
🎯 Drawing
DrawingTypes - Defines basic drawing types Point, Line, Label, Box, Linefill and related property types.
DrawingMethods - All the methods or functionality surrounding Basic types are defined here.
🎲 Layer 1 Libraries
These are the libraries which has direct dependency on base libraries.
🎯 Zigzag
ZigzagTypes - Types required for defining Zigzag and Divergence
ZigzagMethods - Methods associated with Zigzag Type definitions.
🎲Indicator
Indicator draws zigzags based on given length. And then recursively derives next level zigzags based on previous levels. As per the utility, indicator is useful in several ways
Visualising price structure based on zigzag pivots - which in turn can help visualise patterns.
Ability to add any oscillator makes it easy to spot divergences with choice of indicators.
Programmers can use the derived values to build complex algorithms such as automatic pattern recognition.
🎯 Settings
Settings are explained via tooltips. These are very much straight forward and directly related to zigzag, oscillators and divergence.
Recursive Auto-Pitchfork [Trendoscope]"Say Hi" to object oriented programming with Pinescript using types and methods. This is the beginning of new era of Pinescript where we are moving from isolated scripts containing indicator and strategies to whole ecosystem of Object Oriented Programming with libraries of highly reusable components. Those who are familiar with programming would have already realised how big these improvements are and what it brings to the table.
With this script, I am not just providing an indicator for traders but also an introduction for programmers on how to design and build object oriented components in Pinescript using types and methods. Big thanks to Tradingview and Pine development team for making this happen. We look forward for many such gifts in the future :)
🎲 Architecture
As mentioned before, we are not just building an indicator here. But, an ecosystem of components. Using Types and Methods we can visualise libraries as Classes. Thus, we can build an ecosystem of libraries in layered approach to enhance effective code reusability.
Generic architecture can be visualised as below
Coming to the specific case of Auto Pitchfork indicator, the indicator code is less than 50 lines for logic and around 100 lines of inputs. But, most of the heavy-lifting is done by the libraries underneath. Here is a snapshot of related libraries and how they are connected.
All libraries are divided into two portions.
Types - Contains only type definitions
Methods - Contains only method definitions related to the types defined in the Types library
Together, these libraries can be visualised as Class. Methods are defined in such a way all exported methods are related to Types and no other functions or features are defined. If we need further functionality which does not depend on the types, we need to do this via some other library and use them here. Similarly, we should not define any methods related to these types in other libraries.
Reason for splitting the libraries to types and methods is to enable updating methods without disturbing types. Since libraries create interdependencies due to versioning, it is best if we do less updates on the type definitions. Splitting the two enables adding more features while keeping the type definition version intact.
🎲 Base Libraries
Base libraries are those which does not have any dependency. They form basic structures which are later used in other libraries. These libraries need to be crafted carefully so that minimal updates are done later on. Any updates on these libraries will impact all the dependent libraries and scripts.
🎯 Drawing
DrawingTypes - Defines basic drawing types Point, Line, Label, Box, Linefill and related property types.
DrawingMethods - All the methods or functionality surrounding Basic types are defined here.
🎲 Layer 1 Libraries
These are the libraries which has direct dependency on base libraries.
🎯 Zigzag
ZigzagTypes - Types required for defining Zigzag and Divergence
ZigzagMethods - Methods associated with Zigzag Type definitions.
🎯Pitchfork
PitchforkTypes - Basic and Drawing Types for Pitchfork objects
PitchforkMethods - Methods associated with Pitchfork type definitions
🎲 Indicator and Settings
Indicator draws pitchfork based on recursive zigzag configurations. Recursive zigzag is derived with following logic:
Base level zigzag is calculated with regular zigzag algorithm with given length and depth
Next level zigzag is calculated based on base zigzag. And we recursively calculate higher level zigzags until we are left with 4 or less pivots or when no further reduction is possible
On every level of zigzag, we then check the last 3 pivots and draw pitchfork based on the retracement ratio.
Indicator settings are summarised in the tooltips and are as below.
Finally, big thanks to my partner @CryptoArch_ for bringing up the topic of pitchfork for our next development.
RSI Impact Heat Map [Trendoscope]Here is a simple tool to measure and display outcome of certain RSI event over heat map.
🎲 Process
🎯Event
Event can be either Crossover or Crossunder of RSI on certain value.
🎯Measuring Impact
Impact of the event after N number of bars is measured in terms of highest and lowest displacement from the last close price. Impact can be collected as either number of times of ATR or percentage of price. Impact for each trigger is recorded separately and stored in array of custom type.
🎯Plotting Heat Map
Heat map is displayed using pine tables. Users can select heat map size - which can vary from 10 to 90. Selecting optimal size is important in order to get right interpretation of data. Having higher number of cells can give more granular data. But, chart may not fit into the window. Having lower size means, stats are combined together to get less granular data which may not give right picture of the results. Default value for size is 50 - meaning data is displayed in 51X51 cells.
Range of the heat map is adjusted automatically based on min and max value of the displacement. In order to filter out or merge extreme values, range is calculated based on certain percentile of the values. This will avoid displaying lots of empty cells which can obscure the actual impact.
🎲 Settings
Settings allow users to define their event, impact duration and reference, and few display related properties. The description of these parameters are as below:
🎲 Use Cases
In this script, we have taken RSI as an example to measure impact. But, we can do this for any event. This can be price crossing over/under upper/lower bollinger bands, moving average crossovers or even complex entry or exit conditions. Overall, we can use this to plot and evaluate our trade criteria.
🎲 Interpretation
Q1 - If more coloured dots appear on the top right corner of the table, then the event is considered to trigger high volatility and high risk environment.
Q2 - If more coloured dots appear on the top left corner, then the events are considered to trigger bearish environment.
Q3 - If more coloured dots appear on the bottom left corner of the chart, then the events are considered insignificant as they neither generate higher displacement in positive or negative side. You can further alter outlier percentage to reduce the bracket and hence have higher distribution move towards
Q4 - If more coloured dots appear on the bottom right corner, then the events are considered to trigger bullish environment.
Will also look forward to implement this as library so that any conditions or events can be plugged into it.
Harmonic Patterns Based SupertrendExtending the earlier implemented concept of Harmonic-Patterns-Based-Trend-Follower , in this script, lets make it work as supertrend so that it is more easier to operate.
🎲 Process
🎯 Derive Zigzag and scan harmonic patterns for last 5 confirmed pivots
🎯 If a pattern is found, bullish and bearish zones are calculated based on parameter Base
🎯 These bullish and bearish zones act as supertrend based on current trade in progress.
🎯 When in bullish mode, bearish zone will only go up irrespective of new pattern forming new low. Similarly when in bearish mode, bullish zones will only come down - this is done to imitate the standard supertrend behaviour.
🎲 Note
Patterns are not created on latest pivot as last pivot will be unconfirmed and moving. Due to this, patterns appear after certain delay - patterns will not be real time. But, this is expected and does not impact the overall process.
Here are few chart captures to demonstrate how it works.
🎲 Settings
Settings are explained in the screenshot below.
Wolfe Strategy [Trendoscope]Hello Everyone,
Wish you all Merry X-Mas and happy new year. Lets start 2023 with fresh new strategy built on Wolfe Indicator. Details of the indicator can be found here
🎲 Wolfe Concept
Wolfe concept is simple. Whenever a wedge is formed, draw a line joining pivot 1 and 4 as shown in the chart below:
For simplicity, we will only consider static value for Target and Stop. But, entry is done based on breaking the triangle. Revised strategy looks something like this:
🎲 Settings
Settings are simple and details of each are provided via tooltips.
Out of these, the most important one is minimum risk reward ratio. If you set lower risk reward threshold then losing few trades may generate more losses than more winning trades. Similarly higher value will filter out most of the trades and may not work efficiently. Default value set to 1 to make sure optimal risk reward is present before placing trade. Also make note that since the entry bar is always moving towards stop, as and when pattern progress, the RR will also increase. Hence, a pattern which is below RR threshold may become good to trade at certain point of time in future.
🎲 Strategy Parameters
Default strategy parameters are initialised via definition. Margins are set to 100 to disable leveraged trades. Appropriate values are chosen for other parameters. These can be altered based on individual strategy and trading plan.
As the strategy concentrates on the single pattern, number of trades generated are comparatively less. But, there is chance to increase the algorithm further to catch more such patterns on larger scale. Will try to work on them in next versions.
🎲 Pine Strategy limitations
Backtest can only be done on one direction as pine strategy cannot have both long and short open trades together. Hence, it is mandatory to chose either long/short trades in settings.
Since pyramiding is limited to 1, there is possibility of a pattern not generating trade even though the entry conditions are met. They are just based on pine limitations and not necessarily mean patterns are not good for placing trades.
Channel Based Zigzag [HeWhoMustNotBeNamed]🎲 Concept
Zigzag is built based on the price and number of offset bars. But, in this experiment, we build zigzag based on different bands such as Bollinger Band, Keltner Channel and Donchian Channel. The process is simple:
🎯 Derive bands based on input parameters
🎯 High of a bar is considered as pivot high only if the high price is above or equal to upper band.
🎯 Similarly low of a bar is considered as pivot low only if low price is below or equal to lower band.
🎯 Adding the pivot high/low follows same logic as that of regular zigzag where pivot high is always followed by pivot low and vice versa.
🎯 If the new pivot added is of same direction as that of last pivot, then both pivots are compared with each other and only the extreme one is kept. (Highest in case of pivot high and lowest in case of pivot low)
🎯 If a bar has both pivot high and pivot low - pivot with same direction as previous pivot is added to the list first before adding the pivot with opposite direction.
🎲 Use Cases
Can be used for pattern recognition algorithms instead of standard zigzag. This will help derive patterns which are relative to bands and channels.
Example: John Bollinger explains how to manually scan double tap using Bollinger Bands in this video: www.youtube.com This modified zigzag base can be used to achieve the same using algorithmic means.
🎲 Settings
Few simple configurations which will let you select the band properties. Notice that there is no zigzag length here. All the calculations depend on the bands.
With bands display, indicator looks something like this
Note that pivots do not always represent highest/lowest prices. They represent highest/lowest price relative to bands.
As mentioned many times, application of zigzag is not for buying at lower price and selling at higher price. It is mainly used for pattern recognition either manually or via algorithms. Lets build new Harmonic, Chart patterns, Trend Lines using the new zigzag?
Next Pivot Projection [Trendoscope]Still experimental. Extending further on the divergence backtest results - in this script we try to project next 2 pivots (including one unconfirmed pivot)
🎲 Previous experiments
1. Divergence-Backtester
2. Divergence-Backtester-V2
🎲 Additions
Apart from collecting the stats on number of occurrences of HH, HL, LH, LL - this script also keeps track of average ratio for each levels and average bars.
Based on these data, we try to calculate the next pivot projections including possible bar and price.
Cloud covering the candles indicate historical levels of average HH, HL, LH, LL projections.
Hover on projection labels to find more details in tooltips.
🎲 Overall method in a nutshell
🎲 Going bit deeper
🎯 Unconfirmed Pivot and its projection - Last pivot of the zigzag is always unconfirmed. Meaning, it can potentially repaint based on further price movements. But, projection of the unconfirmed pivot will not change as it will be based on previous two pivots - both of which are confirmed.
🎯 Next Pivot Projection - Next pivot is projected based on last two pivots - which include last unconfirmed pivot. Hence, these projections can potentially repaint based on the last pivot repaint.
🎯 Historical projections displayed as cloud - Historical projection values are displayed as cloud around pivots.
A cloud above represents area from average lower high range to average higher high range. Cloud color is green if average ratio of pivot high is more than 1. Red Otherwise.
A cloud below represents area from average higher low range to average lower low range. Cloud color is red if average ratio of pivot high is more than 1. Green otherwise
ALMA TrendlineThis is a simple indicator to make ALMA Trendline to be used as STOP LOSS guidance in trending market. The trendline will change color from GREEN to RED and vice versa once price crossing down or crossing up the trendline.
Crypto Volume/Strength ComparatorHello Traders,
Here is an attempt to perform comparative analysis between top cryptos based on strength (oscillator) and volume. Methodology used here is similar to Magic Number formula described in the post : Enhanced Magic Formula for fundamental analysis . But, instead of using fundamentals, we are making use of few technicals to derive similar outcome. Usage of the available stats will not be same as Magic number since we are using technicals.
⬜ Process
▶ Get crypto exchange based on prefix of instrument being used.
▶ For the given exchange, get data for all the tickers available in input fields.
▶ Calculate Oscillator, Momentum based on price for each tickers.
▶ Calculate Oscillator, Momentum based on volume for each tickers.
▶ Calculate Volatility for each tickers.
▶ Rank Price-Oscillator, Price-Momentum, Volume-Oscillator, Volume-Momentum, Volatility for each tickers.
▶ Calculate combined rank by adding up individual ranks.
▶ Calculate movement of rankings from bar to bar
▶ Sort tickers based on rank and populate them on table. Display direction of rankings.
⬜ Components
Display components are as follows:
⬜ Settings
Settings are pretty simple and straightforward
⬜ Calculations
▶ Oscillators : High values of oscillators are considered as ideal as the process is intended towards finding trend.
▶ Momentum : Momentum is calculated on the basis of Squeeze Momentum Indicator by @LazyBear.
▶ Volatility : Volatility is calculated on the basis of Williams Vix Fix by @ChrisMoody. Here too since we are in trend following mode, lower vix fix is considered ideal.
⬜ Few Notes
Tickers will show data only if selected exchange has them. Some tickers are not available in all exchanges. In that case, it will show NAN. This is kind of unavoidable as we need to have fixed size arrays for any calculations.
Indicator works only on crypto tickers which has valid exchange.
Tickers move through the rankings in real time. Background of all stats are based on gradient from green to red.
Tickers on top may not always have better long opportunity or tickers at bottom may not always be optimal for shorting. We need to consider how long the instrument may stay in the position or how fast it is moving in opposite direction. Hence, directions of the ranking movement are also shown on the table.
MA Strength StrategyThis is based on Aligned Moving Average Index published earlier:
But, instead of scoring trend based on how many moving averages are aligned, we are considering upside score. Higher scores are assigned for slower moving averages and lower scores for faster moving averages to give more stress to long term trend.
Buy/Sell conditions are based on moving average crossover on the upside score sum of Loopback days.
This is a very rough idea which seems to have been working ok on long only trades. Can be further improved.
TrendRangeIdentifier V2This is the enhanced version of TrendRangeIdentifier:
Highlights of this version are:
Different ATR multiplier used based on trend.
Supertrend is used for trend bias for determining which ATR to use on which side
Crossover is based on option selected. It can be either high, low or close price which is determined by crossover type selected.
Remaining parameters remain same as that of original indicator.
[PX] Technical TrendbreakThis script identifies a technical break of the current trend. Its shows when the swing point before the most recent extreme (high or low) is taken out. The indicator can help you to identify when the current trend is weakening or momentum is slowing down. It is not a standalone script, that you should use for automated trading. It works best when a clear trend is in progress and new extremes are made (such as all-time-high, all-time-low). It should be avoided for sideways movements.
The length parameter determines how many candles should be taken into consideration for calculation of the extremes.
If you are looking for someone to develop your own indicator or trading strategy, don't hesitate to get in touch with me here on TradingView or below.
Contact:
www.pascal-simon.de
info@pascal-simon.de
Jimb0ws Strategy Trending Info PanelsJimb0ws Strategy — Golden Candles + Bubble Zones
A price-action/EMA strategy built for FX scalping and intraday swings. It colors Golden Candles when strong bodies touch/skim EMA20/50 in trend (“bubble”) and optionally highlights Robin Candles (break of the prior golden body). Signals are throttled per bubble and filtered by multiple higher-timeframe conditions.
How it trades
Trend bubbles: Uses EMA20/50/100/200 alignment on the chart timeframe; also reads 1H & 4H bubbles for context.
Entries: BUY/SELL labels appear only when a golden setup aligns with fractal/structure checks and all active filters pass.
Stops/Targets (strategy mode):
• Longs: SL = EMA100 if EMA200 > EMA100, else SL = EMA200.
• Shorts: SL = EMA100 if EMA200 < EMA100, else SL = EMA200.
• TP = RR × risk (default 2R).
An on-chart SL/TP info label prints the exact prices at each signal.
Risk filter options: disable beyond 1H EMA50, proximity band around 1H EMA50, wick overdrive veto, session filter (toggle on/off), max signals per bubble.
Visuals & tools
Colored EMAs (20/50/100/200), bubble zone background.
4H info panel (state, start time, duration); Prev-Day ATR panel sits above it.
Optional 1H info panel and consolidation warning.
Fractal markers (size selectable).
Alerts
1H bubble state change (Long/Short/Consolidation).
BUY/SELL signals.
Inputs worth checking
Session & timezone, min body size, pip tolerances, proximity/WOD filters, max signals per bubble, RR, SL/TP label offset.
Notes
Best on FX pairs; pip = mintick × 10. Backtest and adjust to your instrument and session. This is not financial advice.
Gemini Trend Following SystemStrategy Description: The Gemini Trend Following System
Core Philosophy
This is a long-term trend-following system designed for a position trader or a patient swing trader, not a day trader. The fundamental goal is to capture the majority of a stock's major, multi-month or even multi-year uptrend.
The core principle is: "Buy weakness in a confirmed uptrend, and sell only when the uptrend's structure is fundamentally broken."
It operates on the belief that it's more profitable to ride a durable trend than to chase short-term breakouts or worry about daily price fluctuations. It prioritizes staying in a winning trade over frequent trading.
The Three Pillars of the Strategy
The script's logic is built on three distinct pillars, processed in order:
1. The Regime Filter: "Is This Stock in a Healthy Uptrend?"
Before even considering a trade, the script acts as a strict gatekeeper. It will only "watch" a stock if it meets all the criteria of a healthy, long-term uptrend. This is the most important part of the strategy as it filters out weak or speculative stocks.
A stock passes this filter if:
The 50-day Simple Moving Average (SMA) is above the 200-day SMA. This is the classic definition of a "Golden Cross" state, indicating the medium-term trend is stronger than the long-term trend—a hallmark of a bull market for the stock.
The stock's performance over the last year is positive. The Rate of Change (ROC) must be above a minimum threshold (e.g., 15%). This ensures we are only looking at stocks that have already demonstrated significant strength.
The 200-day SMA itself is rising. This is a crucial check to ensure the very foundation of the trend is solid and not flattening out or beginning to decline.
If a stock doesn't meet these conditions, the script ignores it completely.
2. The Entry Trigger: "When to Buy the Dip"
Once a stock is confirmed to be in a healthy uptrend, the script does not buy immediately. Instead, it patiently waits for a point of lower risk and higher potential reward—a pullback.
The entry trigger is a specific, two-step sequence:
The stock price first dips and closes below its 50-day SMA. This signifies a period of temporary weakness or profit-taking.
The price then recovers and closes back above the 50-day SMA within a short period (10 bars).
This sequence is a powerful signal. It suggests that institutional buyers view the 50-day SMA as a key support level and have stepped in to defend it, overpowering the sellers. The entry occurs at this point of confirmed support, marking the likely resumption of the uptrend. On the chart, this event is highlighted with a teal background.
3. The Exit Strategy: "When is the Trend Over?"
The exit logic is designed to keep you in the trade as long as possible and only sell when the trend's character has fundamentally changed. It uses a dual-exit system:
Primary Exit (Trend Failure): The main reason to sell is a "Death Cross"—when the 50-day SMA crosses below the 200-day SMA. This is a robust, albeit lagging, signal that the long-term uptrend is over and a bearish market structure is taking hold. This exit condition is designed to ignore normal market corrections and only trigger when the underlying trend has truly broken. On the chart, this is highlighted with a maroon background.
Safety-Net Exit (Catastrophic Stop-Loss): To protect against a sudden market crash or a company-specific disaster, a "safety-net" stop-loss is placed at the time of entry. This stop is set far below the entry price, typically underneath the 200-day SMA. It is a "just-in-case" measure that should only be triggered in a severe and rapid decline, protecting your capital from an unexpected black swan event.
Who is This Strategy For?
Position Traders: Investors who are comfortable holding a stock for many months to over a year.
Patient Swing Traders: Traders who want to capture large price swings over weeks and months, not days.
Investors using a Rules-Based Approach: Anyone looking to apply a disciplined, non-emotional system to their long-term portfolio.
Ideal Market Conditions
This strategy excels in markets with clear, durable trends. It performs best on strong, leading stocks during a sustained bull market. It will underperform significantly or generate losses in choppy, sideways, or range-bound markets, where the moving averages will frequently cross back and forth, leading to "whipsaw" trades.
Simple Auto Trend LinesOpinionated way of drawing automatic trend lines. It draws automatically trend lines based on specified top/bottom strengths with multiple sets in order to keep track of multiple levels of interest.
Has the ability to hide invalidated trendlines if price moves away from it.
Donchian Channel Trend Tracker by KellyLikesCrypto### Overview
This indicator is written in Pine Script® (version 6) and is designed to overlay on a price chart. It combines the classic Donchian Channel—a tool popular among trend-following traders—with additional trend-tracking features. By identifying when the channel’s highs and lows are making new extreme values, the indicator helps signal potential trend shifts. It is especially suited for scalpers using 1-hour charts, as it provides clear, actionable signals for rapid entry and exit decisions.
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### Key Components & Inputs
1. **User Inputs:**
- **Length:** The period over which the indicator calculates the highest high and the lowest low (default is 27 bars). This value can be adjusted to smooth or tighten the channel based on the trader’s preference.
- **Offset:** A parameter allowing the plotted lines to be shifted left or right on the chart, providing flexibility in aligning the indicator with price action.
2. **Donchian Channel Calculations:**
- **Lower Bound (`lower`):** Calculated using `ta.lowest(length)`, it identifies the lowest low over the defined period.
- **Upper Bound (`upper`):** Determined by `ta.highest(length)`, capturing the highest high during the same period.
- **Basis:** The midline of the channel, computed as the average of the upper and lower bounds. This line can serve as an equilibrium or reference point in the trend analysis.
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### Visual Representation
- **Plotting the Channels:**
- The **basis** is plotted in a standout orange color (#FF6D00) to make the central trend reference easily visible.
- The **upper** and **lower** bounds are plotted in blue (#2962FF), creating clear boundaries for the price action.
- The area between these two lines is filled with a semi-transparent blue, enhancing the visual context of the channel and helping traders quickly assess whether price is near an extreme or within a normal range.
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### Trend Identification Logic
Beyond plotting the basic Donchian Channel, the indicator introduces additional logic to track short-term trend changes:
1. **Higher Highs and Higher Lows:**
- **Higher High (`higherHigh`):** This condition checks if the current upper bound is greater than the previous bar’s upper bound, signaling a potential upward push.
- **Higher Low (`higherLow`):** Similarly, it checks if the current lower bound exceeds the previous bar’s lower bound, reinforcing an upward trend if the support level is rising.
2. **Lower Highs and Lower Lows:**
- **Lower High (`lowerHigh`):** This evaluates if the current upper bound is less than that of the previous bar, indicating a possible downward shift.
- **Lower Low (`lowerLow`):** It verifies if the current lower bound is lower than the previous bar’s, further confirming a bearish tendency.
The use of the `nz()` function ensures that on the very first bar—where no previous data exists—the code handles the values gracefully without causing errors.
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### Visual Markers for Trend Signals
To make trend signals immediately apparent:
- **Markers are Plotted on the Chart:**
- **Green Labels ("HH" and "HL"):** These are placed on the chart when the indicator detects higher highs or higher lows, suggesting bullish momentum.
- **Red Labels ("LH" and "LL"):** These markers are shown when lower highs or lower lows are detected, indicating bearish pressure.
Each label is plotted either above or below the corresponding bar, ensuring that the chart remains uncluttered and that the trend signals are clear.
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### Scalping Strategy on 1-Hour Charts
This indicator is specifically tailored for scalping strategies on 1-hour charts. Scalping involves capturing small, rapid profits from short-term price movements, and the clear trend signals provided by this tool can help traders pinpoint optimal entry and exit points. Here’s how it integrates into a scalping strategy:
- **Quick Trend Identification:** The green markers (HH and HL) suggest bullish conditions ideal for quick long entries, while the red markers (LH and LL) signal bearish conditions suitable for short entries.
- **Timing and Precision:** On a 1-hour chart, the indicator’s sensitivity to higher highs and lower lows allows traders to make rapid decisions aligned with the prevailing trend.
- **Complementary Analysis:** While the indicator provides fast signals, it is recommended to use it alongside additional tools (like oscillators or volume analysis) and strict risk management practices, ensuring that scalpers can confirm entries and exits efficiently.
By leveraging the indicator’s visual cues within a broader scalping framework, traders can enhance their ability to capture quick moves, thus optimizing their overall strategy on 1-hour timeframes.
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### Conclusion
The “Donchian Channel Trend Tracker by KellyLikesCrypto” is a powerful tool for visualizing price extremes and trend direction. By combining the classical Donchian Channel with additional trend-tracking markers, it offers traders a clear and immediate way to assess whether the market is gaining bullish momentum or beginning to turn bearish. Its customizable parameters and clear visual signals make it particularly effective for a scalping strategy on 1-hour charts, where rapid decision-making is crucial.
This detailed breakdown should provide a comprehensive understanding of how each component of the indicator works together and how it can be effectively integrated into a short-term scalping strategy.
Trading the TrendTrading the Trend Indicator by Andrew Abraham (TASC, 1998)
The Trading the Trend indicator, developed by Andrew Abraham, combines volatility and trend-following principles to identify market direction. It uses a 21-period weighted average of the True Range (ATR) to measure volatility and define uptrends and downtrends.
Calculation: The True Range (highest high minus lowest low) is smoothed using a 21-period weighted moving average. This forms the basis for the trend filter, setting dynamic thresholds for trend identification.
Uptrend: Higher highs are confirmed when price stays above the upper threshold, signaling long opportunities.
Downtrend: Lower lows are identified when price stays below the lower threshold, favoring short positions.
This system emphasizes trading only in the direction of the prevailing trend, filtering out market noise and focusing on sustained price movements.
The trendline changes her color. When there is an uptrend the trendline is blue and when the trend is downward the trendline is yellow.
Coins Trend Tracker HTThe Coins Trend Tracker HT script provides a powerful tool for monitoring and comparing the trend signals of multiple cryptocurrencies based on their Exponential Moving Averages (EMAs). This script is particularly useful for traders who want to keep track of multiple coins across different timeframes and identify potential trading opportunities based on EMA crossovers.
Features:
Customizable Coin Selection: Users can select up to four different cryptocurrencies to monitor.
Flexible Timeframes: Users can choose two different timeframes for EMA calculations to suit their trading strategies.
Visual Trend Indicators: The script displays trend indicators (🚀 for bullish and 💀 for bearish) based on the EMA crossover status for each coin and timeframe.
Conditional Cell Coloring: Table cells are color-coded based on the EMA crossover conditions, helping users quickly identify bullish or bearish trends.
Opacity Control: Users can adjust the opacity of the table cell colors for better visualization on the chart.
How It Works:
Coin Selection: Users can select up to four different cryptocurrencies to monitor by entering their ticker symbols.
Timeframe Selection: Users can select two different timeframes for the EMA calculations. The script calculates the 5-period and 20-period EMAs for each coin and timeframe.
EMA Crossovers: The script checks for EMA crossovers (EMA 5 crossing above or below EMA 20) and updates the trend indicators and cell colors accordingly.
Table Display: The script displays a table with the selected coins, their current prices, and trend indicators for the chosen timeframes. The background color of the table cells changes based on the EMA crossover status.
Script Logic:
The get_price function retrieves the latest price of the selected coin for the specified timeframe.
The get_ema_cross function calculates the 5-period and 20-period EMAs and checks for crossover conditions.
The fill_row function populates the table with the coin data, trend indicators, and conditionally colored cells.
The table header and data rows are updated based on the user-selected coins, timeframes, and EMA crossover conditions.
Usage:
Add the script to your TradingView chart.
Customize the coin selection, timeframes, text color, default cell color, bullish and bearish cross colors, and cell opacity through the input settings.
The script will display a table with the selected coins, their current prices, and trend indicators based on the EMA crossovers for the chosen timeframes.
Aleem Trend Supertrend EMA Title: "Supertrend and 200 EMA Crossover Strategy"
Description:
This script is designed to provide traders with a robust and original trading strategy by combining the Supertrend indicator with a 200-period Exponential Moving Average (EMA). The core concept is to utilize the strengths of both indicators to determine optimal entry and exit points.
The Supertrend indicator is well-regarded for its precision in signaling trend reversals by considering the volatility of the market, as measured by the Average True Range (ATR). It is particularly useful for identifying ongoing trends and potential reversals.
The 200 EMA is a widely-used indicator that many traders look to as a determinant of the long-term trend. When the price is above the 200 EMA, the overall market sentiment is considered bullish, and when below, bearish.
By combining these two, the script generates a Buy signal under the following conditions:
When the Supertrend turns bullish (color changes from red to green) with the closing price above the 200 EMA, or
When the price crosses above the 200 EMA while the Supertrend is already green.
A Sell signal is generated when:
The Supertrend turns bearish (color changes from green to red) with the closing price below the 200 EMA, or
The price crosses below the 200 EMA while the Supertrend is already red.
To avoid repetitive signals and to maintain clarity, the script has been enhanced with a feature to prevent multiple consecutive Buy or Sell signals. Once a Buy or Sell signal is generated, the script will not produce another identical signal until an opposing signal or an exit condition is met.
Exit signals for both Buy and Sell positions are provided to indicate when the trend is weakening or reversing, based on the Supertrend's color change in relation to the 200 EMA.
This strategy is flexible and can be utilized across various time frames and asset classes. It aims to aid traders in making more informed decisions by highlighting potential reversals and continuations in the market trend.
Usage:
To use this script, traders should observe the Buy and Sell signals as potential entry points. Exit signals should be taken as prompts to close positions or to protect profits with stop-loss adjustments. As with all strategies, it's recommended to use this in conjunction with other analysis methods and to backtest thoroughly before live implementation.
