Fractal Trend Trading System [DW]This is an advanced utility that uses fractal dimension and trend information to generate useful insights about price activity and potential trade signals.
In this script, my Advanced FDI algorithm is used to estimate the fractal dimension of the dataset over a user defined period.
Fractal dimension, unlike spatial or topological dimension, measures how complexity or detail in an "object" changes as its unit of measurement changes, rather than the number of axes it occupies.
Many forms of time series data (seismic data, ECG data, financial data, etc.) have been theoretically shown to have limited fractal properties.
Consequently, we can estimate the fractal dimension from this data to get an approximate measure of how rough or convoluted the data stream is.
Financial data's fractal dimension is limited to between 1 and 2, so it can also be used to roughly approximate the Hurst Exponent by the relationship H = 2 - D.
When D=1.5, data statistically behaves like a random walk. D above 1.5 can be considered more rough or "mean reverting" due to the increase in complexity of the series.
D below 1.5 can be considered more prone to trending due to the decrease in complexity of the series.
In this script, you are given the option to apply my Band Shelf EQ algorithm to the dataset before estimating dimension.
This enables you to transform your data and observe how its newly measured complexity changes the outputs.
Whether you want to give emphasis to some frequencies, isolate specific bands, or completely alter the shape of your waveform, EQ filtration makes for an interesting experience.
The default EQ preset in this script removes the low shelf, then attenuates low end and high end oscillations.
The dominant cyclical components (bands 3 - 5 on default settings) are passed at 100%, keeping emphasis on 8 to 64 sample per cycle oscillations.
The estimated dimension is then used to calculate the High Dimension Zone and the Error Bands.
Both of these components are great for analyzing trends and for estimating support and resistance values.
The High Dimension Zone is composed of a high line, low line, and midline that update their values when D is at or above the user defined zone activation threshold.
The zone is then averaged over a user defined amount of updates and zone width is multiplied by a user defined value.
The Error Bands are composed of a high, low, and middle band that are calculated using an error adjusted adaptive filter algorithm that utilizes dimension as the smoothing constant modulator.
The basis filter for the error bands has two calculation types built in:
-> MA - Calculates the filters as adaptive moving averages modulated by D.
-> WAP - Calculates the filters as adaptive weighted average prices modulated by D.
The WAP starting point can be based on the High Dimension Zone being moved or a user defined interval.
You can also define the WAP's minimum and maximum periods for additional control of the initial and decayed sensitivity states.
The alpha (smoothing constant) modulator can be fine tuned using the designated dimension thresholds.
When D is at or below the low dimension threshold, the filter is most responsive, and vice-versa for the high dimension threshold.
Alpha is then multiplied by a user defined amount for additional control of sensitivity.
Band width is then multiplied by a user defined value.
A Hull transformation can be optionally performed on the zone averaging and band filter algorithms as well, which will alter the frequency and phase responses at the cost of some overshoot.
This transformation is the same as a typical Hull equation, but with custom filters being used instead of WMA.
The calculated outputs are then used to gauge the trend for signal and color scheme calculations.
First, a dominant trend indication is selected from its designated dropdown tab.
The available built in indications to choose from are:
-> Band Trend (Outer) - Detects band breakouts and saves their direction to gauge trend.
-> Band Trend (Median) - Uses disparity between source and the band median to gauge trend.
-> Zone Trend (Expansion) - Detects when the high fractal zone expands and saves its direction to gauge trend.
-> Zone Trend (Outer Levels) - Detects zone breakouts and saves their direction to gauge trend.
-> Zone Trend (Median) - Uses disparity between source and the zone median to gauge trend.
Then the trend output is optionally filtered before triggering signals.
There are multiple trend filtration options built into this script that can be used individually or in unison:
-> Filter Trend With High Fractal Zone - Filters the trend using the specified zone level or combination of levels with either disparity or crossover conditions.
There is a set of options for bullish and bearish trends.
-> Filter Trend With Error Bands - Filters the trend using the specified band level or combination of levels with either disparity or crossover conditions.
There is a set of options for bullish and bearish trends.
-> Filter Trend With Band - Zone Disparity Condition - Filters the trend using the specified band level, zone level, and disparity direction.
There is a set of options for bullish and bearish trends.
-> Filter By Zone That Moves With The Trend - Filters the specified trend by detecting when the high fractal zone’s direction correlates.
-> Filter By Bands That Move With The Trend - Filters the specified trend by detecting when the error bands’ direction correlates.
-> Filter Using Wave Confirmation - Filters the specified trend by detecting when source is in a correlating wave with user defined length.
You can also choose separate lengths for bullish and bearish trends.
-> Filter By Bars With Decreasing Dimension - Filters the specified trend by detecting when fractal dimension is decreasing, suggesting source is approaching more linear movement.
The filtered trend output is then used to generate entry and exit signals.
There are multiple options included to fine tune how these signals behave.
For entries, you have the following options built in:
-> Limit Entry Dimension - Limits the range of dimensional values that are acceptable for entry with user defined thresholds.
This can be incredibly useful for filtering out entries taken when price is moving in a more complex pattern,
or when price is approaching a peak and you’re a little late to the party.
-> Enable Position Increase Signals - Enables more entry signals to fire up to a user defined number of times when a position is active.
This is helpful for those who incrementally increase their positions, or for those who want to see additional signals as reference.
-> Limit Number Of Consecutive Trades - Limits the number of consecutive trades that can be opened in a single direction to a user defined maximum.
This is especially useful for markets that only trend for brief durations.
By limiting the amount of trades you take in one direction, you have more control over your market exposure.
There is a set of these options for both bullish and bearish entries.
For exits, you have the following options built in:
-> Include Exit Signals From High Fractal Zone - Enables exit signals generated from either crossover or disparity conditions between price and a specified zone level.
-> Include Exit Signals From Error Bands - Enables exit signals generated from either crossover or disparity conditions between price and a specified zone level.
-> Include Inactive Trend Output For Exits - Triggers exit signals when the filtered trend output is an inactive value.
-> Dimension Target Exit Method - Triggers exit signals based on fractal dimension hitting a user defined threshold.
You can either choose for the exit to trigger instantly, or after dimension reverts from the target by a user specified amount.
-> Exit At Maximum Entry Dimension - Triggers exit signals when dimension exceeds the maximum entry limit.
-> Number Of Signals Required For 100% Exit - Controls the number of exit signals required to close the position.
You can also choose whether or not to include partial exits.
Enabling them will fire a partial signal when an exit occurs, but the position is not 100% closed.
Of course, there is a set of these options for bullish and bearish exits.
In my opinion, no system is complete without some sort of risk management protocol in place.
So in this script, bullish and bearish trades come equipped with optional protective SL and TP levels with signals.
The levels can be fixed or trailing, and are calculated with a user defined scale.
The available scales for SL and TP distances are ticks, pips, points, % of price, ATR, band range, zone range, or absolute numerical value.
Now what if you have some awesome signals of your own that you’d like to use in conjunction with this script?
Well good news. You can!
In addition to all of the customizable features built into the script, you can integrate your own signals into the system using the external data inputs and linking your script.
This adds a whole new layer of customization to the system.
With external signals, you can use your own custom dominant trend indication, filter the dominant trend, and trigger exits and protective stops using custom signals.
The signal input is an integer format. 1=Bull Signal, -1=Bear Signal, 2=Bull Exit, -2=Bear Exit, 3=Bull SL Hit, -3=Bear SL Hit, 4=Bull TP Hit, -4=Bear TP Hit.
You can also use the external input as a custom source value for either dimension or global sources to further tailor the system to your liking.
The color scheme in this script utilizes two custom gradients that can be chosen for bar and background colors:
-> Trend (Dominant or Filtered) - A polarized gradient that shows green scaled values for bullish trend and red scaled values for bearish trend.
The colors are brighter and more vibrant as perceived trend strength increases.
-> Dimension - A thermal gradient that shows cooler colors when dimension is higher, and hotter colors when dimension is lower.
Both color schemes are dependent on the designated dimension thresholds.
The script comes equipped with alerts for entries, additional entries, exits, partial exits, and protective stops so you can automate more and stare at your charts less.
And lastly, the script comes equipped with additional external outputs to further your analysis:
-> Entry And Exit Signals - Outputs in the same format as the external signal input with these additions: 5=Bull Increase, -5=Bear Increase, 6=Bull Reduce, -6=Bear Reduce.
You can use these to send to other scripts, including strategy types so you can backtest your performance on TV’s engine.
-> Dominant Trend - Outputs 1 for bullish and -1 for bearish. Can be used to send trend signals to another script.
I designed this tool with individuality in mind.
Every trader has a different situation. We trade on different schedules, markets, perspectives, etc.
Analytical systems of basically any type are very seldom (if ever) “one size fits all” and usually require a fair amount of modification to achieve desirable results.
That’s why this system is so freely customizable.
Your system should be flexible enough to be tailored to your analytical style, not the other way around.
When a system is limited in what you can control, it limits your experience, analytical potential, and possibly even profitability.
This is not your typical pre-set system. If you're looking for just another "buy, sell" script that requires minimal thought, look elsewhere.
If you’re ready to dive into a powerful technical system that allows you to tailor the experience to your style, welcome!
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This is a premium script, and access is granted on an invite-only basis.
To gain access, get a copy of the system overview, or for additional inquiries, send me a direct message.
I look forward to hearing from you!
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General Disclaimer:
Trading stocks, futures, Forex, options, ETFs, cryptocurrencies or any other financial instrument has large potential rewards, but also large potential risk.
You must be aware of the risks and be willing to accept them in order to invest in stocks, futures, Forex, options, ETFs or cryptocurrencies.
Don’t trade with money you can’t afford to lose.
This is neither a solicitation nor an offer to Buy/Sell stocks, futures, Forex, options, ETFs, cryptocurrencies or any other financial instrument.
No representation is being made that any account will or is likely to achieve profits or losses of any kind.
The past performance of any trading system or methodology is not necessarily indicative of future results.
"the script" için komut dosyalarını ara
TradeChartist TrendRider Companion ™TradeChartist TrendRider Companion is an exceptionally beautiful and a functional indicator that can be used as a companion with ™TradeChartist TrendRider or as a standalone indicator and can also be used with other scripts. The indicator plots the trend based on Momentum, Volatility , detecting critical zones of Support and Resistance along the way, which helps the indicator find the right trend to ride, plotting Trend Intensity and Trend Markers based on only one piece of User input - TrendRider Type (Aggressive, Normal or Laid Back).
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What does ™TradeChartist TrendRider Companion do?
TrendRider Companion plots Trend Intensity along with Bull and Bear Trend Markers on chart, which helps the user get a visual confirmation of the Trend.
TrendRider Companion paints Trend strength on price bars based on the Color Scheme, if this option is enabled from the indicator settings.
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The script is pretty straight forward to use on any chart to track the trend intensity. ™TradeChartist TrendRider uses the same logic to detect the trend but TrendRider also plots critical Support/Resistance zones, detecting any breaches or fail of those levels on a candle close before reversing the Trend Ride.
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Best Practice: Test with different settings first using Paper Trades before trading with real money
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This is not a free to use indicator. Get in touch with me (PM me directly if you would like trial access to test the indicator)
Premium Scripts - Trial access and Information
Trial access offered on all Premium scripts.
PM me directly to request trial access to the scripts or for more information.
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TradeChartist PowerTrader ProTradeChartist PowerTrader Pro is a versatile Signal generator and Signal plotter on the main price chart based on signals from other compatible scripts like TradeChartist PowerTracer Pro . This elegantly designed script plots the following based on user preference.
BUY and SELL signals based on external compatible signal source
Automatic Targets if opted from settings
Trailing or Fixed Stop Loss based on user input
Take Profit % and Quantity to trade based on user input
PowerTrader Dashboard displaying 14 period RSI, Stoch and 20 EMA
Real-Time Gains Tracker displaying Max Gains and open PnL
Past Performance labels displaying Max Gains and Max Drawdown for each trade
Higher Highs since BUY and Lower Lows since SELL
Once the external Signal is connected to the script, the results based on signal backtester ( TradeChartist PowerTracer Pro Backtester ) can be used to optimise the settings to generate plots and also to set Alerts for the following.
Long and Short Signals
Long and Short Stop Loss Hit
Long and Short TP Hit
Move up/down Trailing SL
To create alerts, the user must choose PowerTrader Pro from the alert condition drop-down and choose the required alert. Since the signals are generated only after confirmation, "Once per bar" must be used for Alerts.
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This is not a free to use indicator. Get in touch with me (PM me directly if you would like trial access to test the indicator)
Premium Scripts - Trial access and Information
Trial access offered on all Premium scripts.
PM me directly to request trial access to the scripts or for more information.
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Dual Purpose Pine Based CorrelationThis is my "Pine-based" correlation() function written in raw Pine Script. Other names applied to it are "Pearson Correlation", "Pearson's r", and one I can never remember being "Pearson Product-Moment Correlation Coefficient(PPMCC)". There is two basic ways to utilize this script. One is checking correlation with another asset such as the S&P 500 (provided as a default). The second is using it as a handy independent indicator correlated to time using Pine's bar_index variable. Also, this is in fact two separate correlation indicators with independent period adjustments, so I guess you could say this indicator has a dual purpose split personality. My intention was to take standard old correlation and apply a novel approach to it, and see what happens. Either way you use it, I hope you may find it most helpful enough to add to your daily TV tool belt.
You will notice I used the Pine built-in correlation() in combination with my custom function, so it shows they are precisely equal, even when the first two correlation() parameters are reversed on purpose or by accident. Additionally, there's an interesting technique to provide a visually appealing line with two overlapping plot()s combined together. I'm sure many members may find that plotting tactic useful when a bird's nest of plotting is occurring on the overlay pane in some scenarios. One more thing about correlation is it's always confined to +/-1.0 irregardless of time intervals or the asset(s) it is applied to, making it a unique oscillator.
As always, I have included advanced Pine programming techniques that conform to proper "Pine Etiquette". For those of you who are newcomers to Pine Script, this code release may also help you comprehend the "Power of Pine" by employing advanced programming techniques in Pine exhibiting code utilization in a most effective manner. One of the many tricks I applied here was providing floating point number safeties for _correlation(). While it cannot effectively use a floating point number, it won't error out in the event this should occur especially when applying "dominant cycle periods" to it, IF you might attempt this.
NOTICE: You may have observed there is a sqrt() custom function and you may be thinking... "Did he just sick and twistedly overwrite the Pine built-in sqrt() function?" The answer is... YES, I am and yes I did! One thing I noticed, is that it does provide slightly higher accuracy precision decimal places compared to the Pine built-in sqrt(). Be forewarned, "MY" sqrt() is technically speaking slower than snail snot compared to the native Pine sqrt(), so I wouldn't advise actually using it religiously in other scripts as a daily habit. It is seemingly doing quite well in combination with these simple calculations without being "sluggish". Lastly, of course you may always just delete the custom sqrt() function, via Pine Editor, and then the script will still operate flawlessly, yet more efficiently.
Features List Includes:
Dark Background - Easily disabled in indicator Settings->Style for "Light" charts or with Pine commenting
AND much, much more... You have the source!
The comments section below is solely just for commenting and other remarks, ideas, compliments, etc... regarding only this indicator, not others. When available time provides itself, I will consider your inquiries, thoughts, and concepts presented below in the comments section, should you have any questions or comments regarding this indicator. When my indicators achieve more prevalent use by TV members, I may implement more ideas when they present themselves as worthy additions. As always, "Like" it if you simply just like it with a proper thumbs up, and also return to my scripts list occasionally for additional postings. Have a profitable future everyone!
TFi Pivot Reversal StudyThe Pivot Reversal Study script uses pivot points to create a support and resistance level; based on this levels the script creates virtual stop-market orders to catch the trend if the price is crossing the pivot lines.
A configurable trailing-stop and stop-loss is being used to exit an open position.
The entry and exit points are visualized in the chart via green arrows and crosses; the position follows the exact behavior of the strategy script.
The study also creates alerts, which follow the exact position of the entry/exit markers. Via the input parameter "Alert Message Type" it is possible to select a predefined alertcondition message; right now the script supports a generic default message and a trading setup for Alertatron.
How to use
The study works with all timeframes; the current chart setting is using a 15min timeframe. The strategy enters about 10 trades per day, depending on the used settings.
I'm also providing a "strategy" version of this study, which can be used to backtest the strategy.
How to access
This strategy is a "Invite Only" script. You can can subscribe or purchase the strategy ; please use the link below or send me a message via Tradingview to obtain access to the strategy and study script.
For enabling the script in your Tradingview chart window, click on "Indicators" and select "Invite-Only Scripts".
Full list of alerts:
'Enter Long' ... Enter long position
'Enter Short' ... Enter short position
'Exit Long PT' ... Exit long position - profit-target reached
'Exit Short PT' ... Exit short position - profit-target reached
'Exit Long SL' ... Exit long position - stop-loss
'Exit Short SL' ... Exit short position - stop-loss
Full list of parameters:
"Pivot Left Bars" ... Number of bars on the left of the pivot point - used for pivot/peak detection
"Pivot Right Bars" ... Number of bars on the right of the pivot point - used for pivot/peak detection
"Entry Offset " ... Entry price offset after crossing pivot line (in %)
"Trailing Activation Level " ... Trailing stop activation level above/below average price (in %)
"Trailing Offset " ... Trailing stop price (in %)
"Stop Loss " ... Absolute stop-loss (in %)
"Alert Message Type" ... Alert message type: generic or Alertatron
"Backtest ..." ... Backtest timeframe; area outside this timeframe will be grayed out
I'm looking forward to any feedback, reviews and change requests!
CryptoSnaxAllinOne > 5 Scripts in 1 > Saving Time and Efficiency5 Scripts in 1 > Saving Time and Efficiency in My Daily Life
Tired of doing those repetivie tasks with Trading View?
- Spending Hours finding Support or Resistance?, Looking for Entry or Exit Signals? Looking for Pivot High/Low?
- Only to do it all again, when changing timeframes or asset!
- Fear Not > My All in One script should help.
Please find an overview of the All in One Script I have been building.
- This is purely for educational purposes.
- This script is not financial advice.
- I hold no responsibility for anyone using this script.
- I do not guarantee lifetime support for this script (if TV update version from 3 to 4, code will need to be updated)
- If you would like to use the script, please message me on TradingView.
- Script One > Give overall direction of trend with
- Script Two > Much Easier to see the Highs and the Lows of the Candles. Easier to Spot Resistance & Support. [Highest High / Lowest Low of Candle/Wick > 20Bars Eitherside)
- Script Three > 1st Confirmation of Pivot High and Low Plot > My 1st Confirmation of High or Low. [Pivot High/Low 20Bars Eitherside > 1st Confirm)
- Script Four > 2nd Confirmation of Pivot High and Low Plot > Entry and Exit > My 2nd Confirmation of High or Low. [Pivot High/Low 10Bars Eitherside > 2nd Confirm)
- Script Five > Plot in the Main Chart Red IF OverBought / Green if OverSold
NOTE > White Support Lines were Manually Drawn. I Drew them from the Script Data. I.e. Looking for Strong Support / Resistance Zones + Possible Fib = Manually Draw and Much Quicker to Make Qualified Decisions on the Probability.
FiniteStateMachine🟩 OVERVIEW
A flexible framework for creating, testing and implementing a Finite State Machine (FSM) in your script. FSMs use rules to control how states change in response to events.
This is the first Finite State Machine library on TradingView and it's quite a different way to think about your script's logic. Advantages of using this vs hardcoding all your logic include:
• Explicit logic : You can see all rules easily side-by-side.
• Validation : Tables show your rules and validation results right on the chart.
• Dual approach : Simple matrix for straightforward transitions; map implementation for concurrent scenarios. You can combine them for complex needs.
• Type safety : Shows how to use enums for robustness while maintaining string compatibility.
• Real-world examples : Includes both conceptual (traffic lights) and practical (trading strategy) demonstrations.
• Priority control : Explicit control over which rules take precedence when multiple conditions are met.
• Wildcard system : Flexible pattern matching for states and events.
The library seems complex, but it's not really. Your conditions, events, and their potential interactions are complex. The FSM makes them all explicit, which is some work. However, like all "good" pain in life, this is front-loaded, and *saves* pain later, in the form of unintended interactions and bugs that are very hard to find and fix.
🟩 SIMPLE FSM (MATRIX-BASED)
The simple FSM uses a matrix to define transition rules with the structure: state > event > state. We look up the current state, check if the event in that row matches, and if it does, output the resulting state.
Each row in the matrix defines one rule, and the first matching row, counting from the top down, is applied.
A limitation of this method is that you can supply only ONE event.
You can design layered rules using widlcards. Use an empty string "" or the special string "ANY" for any state or event wildcard.
The matrix FSM is foruse where you have clear, sequential state transitions triggered by single events. Think traffic lights, or any logic where only one thing can happen at a time.
The demo for this FSM is of traffic lights.
🟩 CONCURRENT FSM (MAP-BASED)
The map FSM uses a more complex structure where each state is a key in the map, and its value is an array of event rules. Each rule maps a named condition to an output (event or next state).
This FSM can handle multiple conditions simultaneously. Rules added first have higher priority.
Adding more rules to existing states combines the entries in the map (if you use the supplied helper function) rather than overwriting them.
This FSM is for more complex scenarios where multiple conditions can be true simultaneously, and you need to control which takes precedence. Like trading strategies, or any system with concurrent conditions.
The demo for this FSM is a trading strategy.
🟩 HOW TO USE
Pine Script libraries contain reusable code for importing into indicators. You do not need to copy any code out of here. Just import the library and call the function you want.
For example, for version 1 of this library, import it like this:
import SimpleCryptoLife/FiniteStateMachine/1
See the EXAMPLE USAGE sections within the library for examples of calling the functions.
For more information on libraries and incorporating them into your scripts, see the Libraries section of the Pine Script User Manual.
🟩 TECHNICAL IMPLEMENTATION
Both FSM implementations support wildcards using blank strings "" or the special string "ANY". Wildcards match in this priority order:
• Exact state + exact event match
• Exact state + empty event (event wildcard)
• Empty state + exact event (state wildcard)
• Empty state + empty event (full wildcard)
When multiple rules match the same state + event combination, the FIRST rule encountered takes priority. In the matrix FSM, this means row order determines priority. In the map FSM, it's the order you add rules to each state.
The library uses user-defined types for the map FSM:
• o_eventRule : Maps a condition name to an output
• o_eventRuleWrapper : Wraps an array of rules (since maps can't contain arrays directly)
Everything uses strings for maximum library compatibility, though the examples show how to use enums for type safety by converting them to strings.
Unlike normal maps where adding a duplicate key overwrites the value, this library's `m_addRuleToEventMap()` method *combines* rules, making it intuitive to build rule sets without breaking them.
🟩 VALIDATION & ERROR HANDLING
The library includes comprehensive validation functions that catch common FSM design errors:
Error detection:
• Empty next states
• Invalid states not in the states array
• Duplicate rules
• Conflicting transitions
• Unreachable states (no entry/exit rules)
Warning detection:
• Redundant wildcards
• Empty states/events (potential unintended wildcards)
• Duplicate conditions within states
You can display validation results in tables on the chart, with tooltips providing detailed explanations. The helper functions to display the tables are exported so you can call them from your own script.
🟩 PRACTICAL EXAMPLES
The library includes four comprehensive demos:
Traffic Light Demo (Simple FSM) : Uses the matrix FSM to cycle through traffic light states (red → red+amber → green → amber → red) with timer events. Includes pseudo-random "break" events and repair logic to demonstrate wildcards and priority handling.
Trading Strategy Demo (Concurrent FSM) : Implements a realistic long-only trading strategy using BOTH FSM types:
• Map FSM converts multiple technical conditions (EMA crosses, gaps, fractals, RSI) into prioritised events
• Matrix FSM handles state transitions (idle → setup → entry → position → exit → re-entry)
• Includes position management, stop losses, and re-entry logic
Error Demonstrations : Both FSM types include error demos with intentionally malformed rules to showcase the validation system's capabilities.
🟩 BRING ON THE FUNCTIONS
f_printFSMMatrix(_mat_rules, _a_states, _tablePosition)
Prints a table of states and rules to the specified position on the chart. Works only with the matrix-based FSM.
Parameters:
_mat_rules (matrix)
_a_states (array)
_tablePosition (simple string)
Returns: The table of states and rules.
method m_loadMatrixRulesFromText(_mat_rules, _rulesText)
Loads rules into a rules matrix from a multiline string where each line is of the form "current state | event | next state" (ignores empty lines and trims whitespace).
This is the most human-readable way to define rules because it's a visually aligned, table-like format.
Namespace types: matrix
Parameters:
_mat_rules (matrix)
_rulesText (string)
Returns: No explicit return. The matrix is modified as a side-effect.
method m_addRuleToMatrix(_mat_rules, _currentState, _event, _nextState)
Adds a single rule to the rules matrix. This can also be quite readble if you use short variable names and careful spacing.
Namespace types: matrix
Parameters:
_mat_rules (matrix)
_currentState (string)
_event (string)
_nextState (string)
Returns: No explicit return. The matrix is modified as a side-effect.
method m_validateRulesMatrix(_mat_rules, _a_states, _showTable, _tablePosition)
Validates a rules matrix and a states array to check that they are well formed. Works only with the matrix-based FSM.
Checks: matrix has exactly 3 columns; no empty next states; all states defined in array; no duplicate states; no duplicate rules; all states have entry/exit rules; no conflicting transitions; no redundant wildcards. To avoid slowing down the script unnecessarily, call this method once (perhaps using `barstate.isfirst`), when the rules and states are ready.
Namespace types: matrix
Parameters:
_mat_rules (matrix)
_a_states (array)
_showTable (bool)
_tablePosition (simple string)
Returns: `true` if the rules and states are valid; `false` if errors or warnings exist.
method m_getStateFromMatrix(_mat_rules, _currentState, _event, _strictInput, _strictTransitions)
Returns the next state based on the current state and event, or `na` if no matching transition is found. Empty (not na) entries are treated as wildcards if `strictInput` is false.
Priority: exact match > event wildcard > state wildcard > full wildcard.
Namespace types: matrix
Parameters:
_mat_rules (matrix)
_currentState (string)
_event (string)
_strictInput (bool)
_strictTransitions (bool)
Returns: The next state or `na`.
method m_addRuleToEventMap(_map_eventRules, _state, _condName, _output)
Adds a single event rule to the event rules map. If the state key already exists, appends the new rule to the existing array (if different). If the state key doesn't exist, creates a new entry.
Namespace types: map
Parameters:
_map_eventRules (map)
_state (string)
_condName (string)
_output (string)
Returns: No explicit return. The map is modified as a side-effect.
method m_addEventRulesToMapFromText(_map_eventRules, _configText)
Loads event rules from a multiline text string into a map structure.
Format: "state | condName > output | condName > output | ..." . Pairs are ordered by priority. You can have multiple rules on the same line for one state.
Supports wildcards: Use an empty string ("") or the special string "ANY" for state or condName to create wildcard rules.
Examples: " | condName > output" (state wildcard), "state | > output" (condition wildcard), " | > output" (full wildcard).
Splits lines by \n, extracts state as key, creates/appends to array with new o_eventRule(condName, output).
Call once, e.g., on barstate.isfirst for best performance.
Namespace types: map
Parameters:
_map_eventRules (map)
_configText (string)
Returns: No explicit return. The map is modified as a side-effect.
f_printFSMMap(_map_eventRules, _a_states, _tablePosition)
Prints a table of map-based event rules to the specified position on the chart.
Parameters:
_map_eventRules (map)
_a_states (array)
_tablePosition (simple string)
Returns: The table of map-based event rules.
method m_validateEventRulesMap(_map_eventRules, _a_states, _a_validEvents, _showTable, _tablePosition)
Validates an event rules map to check that it's well formed.
Checks: map is not empty; wrappers contain non-empty arrays; no duplicate condition names per state; no empty fields in o_eventRule objects; optionally validates outputs against matrix events.
NOTE: Both "" and "ANY" are treated identically as wildcards for both states and conditions.
To avoid slowing down the script unnecessarily, call this method once (perhaps using `barstate.isfirst`), when the map is ready.
Namespace types: map
Parameters:
_map_eventRules (map)
_a_states (array)
_a_validEvents (array)
_showTable (bool)
_tablePosition (simple string)
Returns: `true` if the event rules map is valid; `false` if errors or warnings exist.
method m_getEventFromConditionsMap(_currentState, _a_activeConditions, _map_eventRules)
Returns a single event or state string based on the current state and active conditions.
Uses a map of event rules where rules are pre-sorted by implicit priority via load order.
Supports wildcards using empty string ("") or "ANY" for flexible rule matching.
Priority: exact match > condition wildcard > state wildcard > full wildcard.
Namespace types: series string, simple string, input string, const string
Parameters:
_currentState (string)
_a_activeConditions (array)
_map_eventRules (map)
Returns: The output string (event or state) for the first matching condition, or na if no match found.
o_eventRule
o_eventRule defines a condition-to-output mapping for the concurrent FSM.
Fields:
condName (series string) : The name of the condition to check.
output (series string) : The output (event or state) when the condition is true.
o_eventRuleWrapper
o_eventRuleWrapper wraps an array of o_eventRule for use as map values (maps cannot contain collections directly).
Fields:
a_rules (array) : Array of o_eventRule objects for a specific state.
Hilly's Advanced Crypto Scalping Strategy - 5 Min ChartTo determine the "best" input parameters for the Advanced Crypto Scalping Strategy on a 5-minute chart, we need to consider the goals of optimizing for profitability, minimizing false signals, and adapting to the volatile nature of cryptocurrencies. The default parameters in the script are a starting point, but the optimal values depend on the specific cryptocurrency pair, market conditions, and your risk tolerance. Below, I'll provide recommended input values based on common practices in crypto scalping, along with reasoning for each parameter. I’ll also suggest how to fine-tune them using TradingView’s backtesting and optimization tools.
Recommended Input Parameters
These values are tailored for a 5-minute chart for liquid cryptocurrencies like BTC/USD or ETH/USD on exchanges like Binance or Coinbase. They aim to balance signal frequency and accuracy for day trading.
Fast EMA Length (emaFastLen): 9
Reasoning: A 9-period EMA is commonly used in scalping to capture short-term price movements while remaining sensitive to recent price action. It reacts faster than the default 10, aligning with the 5-minute timeframe.
Slow EMA Length (emaSlowLen): 21
Reasoning: A 21-period EMA provides a good balance for identifying the broader trend on a 5-minute chart. It’s slightly longer than the default 20 to reduce noise while confirming the trend direction.
RSI Length (rsiLen): 14
Reasoning: The default 14-period RSI is a standard choice for momentum analysis. It works well for detecting overbought/oversold conditions without being too sensitive on short timeframes.
RSI Overbought (rsiOverbought): 75
Reasoning: Raising the overbought threshold to 75 (from 70) reduces false sell signals in strong bullish trends, which are common in crypto markets.
RSI Oversold (rsiOversold): 25
Reasoning: Lowering the oversold threshold to 25 (from 30) filters out weaker buy signals, ensuring entries occur during stronger reversals.
MACD Fast Length (macdFast): 12
Reasoning: The default 12-period fast EMA for MACD is effective for capturing short-term momentum shifts in crypto, aligning with scalping goals.
MACD Slow Length (macdSlow): 26
Reasoning: The default 26-period slow EMA is a standard setting that works well for confirming momentum trends without lagging too much.
MACD Signal Smoothing (macdSignal): 9
Reasoning: The default 9-period signal line is widely used and provides a good balance for smoothing MACD crossovers on a 5-minute chart.
Bollinger Bands Length (bbLen): 20
Reasoning: The default 20-period Bollinger Bands are effective for identifying volatility breakouts, which are key for scalping in crypto markets.
Bollinger Bands Multiplier (bbMult): 2.0
Reasoning: A 2.0 multiplier is standard and captures most price action within the bands. Increasing it to 2.5 could reduce signals but improve accuracy in highly volatile markets.
Stop Loss % (slPerc): 0.8%
Reasoning: A tighter stop loss of 0.8% (from 1.0%) suits the high volatility of crypto, helping to limit losses on false breakouts while keeping risk manageable.
Take Profit % (tpPerc): 1.5%
Reasoning: A 1.5% take-profit target (from 2.0%) aligns with scalping’s goal of capturing small, frequent gains. Crypto markets often see quick reversals, so a smaller target increases the likelihood of hitting profits.
Use Candlestick Patterns (useCandlePatterns): True
Reasoning: Enabling candlestick patterns (e.g., engulfing, hammer) adds confirmation to signals, reducing false entries in choppy markets.
Use Volume Filter (useVolumeFilter): True
Reasoning: The volume filter ensures signals occur during high-volume breakouts, which are more likely to sustain in crypto markets.
Signal Arrow Size (signalSize): 2.0
Reasoning: Increasing the arrow size to 2.0 (from 1.5) makes buy/sell signals more visible on the chart, especially on smaller screens or volatile price action.
Background Highlight Transparency (bgTransparency): 85
Reasoning: A slightly higher transparency (85 from 80) keeps the background highlights subtle but visible, avoiding chart clutter.
How to Apply These Parameters
Copy the Script: Use the Pine Script provided in the previous response.
Paste in TradingView: Open TradingView, go to the Pine Editor, paste the code, and click "Add to Chart."
Set Parameters: In the strategy settings, manually input the recommended values above or adjust them via the input fields.
Test on a 5-Minute Chart: Apply the strategy to a liquid crypto pair (e.g., BTC/USDT, ETH/USDT) on a 5-minute chart.
Fine-Tuning for Optimal Performance
To find the absolute best parameters for your specific trading pair and market conditions, use TradingView’s Strategy Tester and optimization features:
Backtesting:
Run the strategy on historical data for your chosen pair (e.g., BTC/USDT on Binance).
Check metrics like Net Profit, Profit Factor, Win Rate, and Max Drawdown in the Strategy Tester.
Focus on a sample period of at least 1–3 months to capture various market conditions (bull, bear, sideways).
Parameter Optimization:
In the Strategy Tester, click the settings gear next to the strategy name.
Enable optimization for key inputs like emaFastLen (test range: 7–12), emaSlowLen (15–25), slPerc (0.5–1.5), and tpPerc (1.0–3.0).
Run the optimization to find the combination with the highest net profit or best Sharpe ratio, but avoid over-optimization (curve-fitting) by testing on out-of-sample data.
Market-Specific Adjustments:
Volatile Pairs (e.g., DOGE/USDT): Use tighter stop losses (e.g., 0.5–0.7%) and smaller take-profit targets (e.g., 1.0–1.2%) to account for rapid price swings.
Stable Pairs (e.g., BTC/USDT): Slightly wider stop losses (e.g., 1.0–1.2%) and take-profit targets (e.g., 1.8–2.5%) may work better.
Trending Markets: Increase emaSlowLen (e.g., to 25–30) to follow stronger trends.
Choppy Markets: Tighten bbMult (e.g., to 1.8) and lower rsiOverbought/rsiOversold (e.g., to 70/30) to filter noise.
Forward Testing:
After backtesting, run the strategy in real-time on a demo account for 1–2 weeks to validate performance under current market conditions.
Important Notes
No Universal "Best" Numbers: Optimal parameters vary by crypto pair, exchange, and market conditions (e.g., bull vs. bear market). The suggested values are a starting point based on common scalping practices.
Risk Management: Never risk more than 1–2% of your account per trade. Adjust position sizing in TradingView’s strategy settings to align with your risk tolerance.
Market Volatility: Crypto markets are highly volatile. Test the strategy on your specific pair and adjust parameters if signals are too frequent or too rare.
Not Financial Advice: This is an educational tool. Backtest thoroughly and use a demo account before trading with real funds.
If you want me to generate a chart showing backtest performance for specific parameters or to tweak the script further (e.g., adding more indicators or adjusting signal logic), let me know!can you add clear buy ans sell signs above the candles in this codeTo add clear buy and sell signals above the candles in the provided Pine Script, I'll modify the existing code to include prominent text labels directly above (for sell signals) and below (for buy signals) the candles. These labels will be larger, color-coded, and positioned to avoid clutter, ensuring they are easily visible on the chart. The core strategy logic (EMA, RSI, MACD, Bollinger Bands, candlestick patterns, and volume filter) will remain unchanged, and I'll reuse the same artifact_id since this is an update to the previous script.AdvancedCryptoScalpingStrategy.pinex-pine
Multi-Timeframe Continuity Custom Candle ConfirmationMulti-Timeframe Continuity Custom Candle Confirmation
Overview
The Timeframe Continuity Indicator is a versatile tool designed to help traders identify alignment between their current chart’s candlestick direction and higher timeframes of their choice. By coloring bars on the current chart (e.g., 1-minute) based on the directional alignment with selected higher timeframes (e.g., 10-minute, daily), this indicator provides a visual cue for confirming trends across multiple timeframes—a concept known as Timeframe Continuity. This approach is particularly useful for day traders, swing traders, and scalpers looking to ensure their trades align with broader market trends, reducing the risk of trading against the prevailing momentum.
Originality and Usefulness
This indicator is an original creation, built from scratch to address a common challenge in trading: ensuring that price action on a lower timeframe aligns with the trend on higher timeframes. Unlike many trend-following indicators that rely on moving averages, oscillators, or other lagging metrics, this script directly compares the bullish or bearish direction of candlesticks across timeframes. It introduces the following unique features:
Customizable Timeframes: Users can select from a range of higher timeframes (5m, 10m, 15m, 30m, 1h, 2h, 4h, 1d, 1w, 1M) to check for alignment, making it adaptable to various trading styles.
Neutral Candle Handling: The script accounts for neutral candles (where close == open) on the current timeframe by allowing them to inherit the direction of the higher timeframe, ensuring continuity in trend visualization.
Table: A table displays the direction of each selected timeframe and the current timeframe, helping identify direction in the event you don't want to color bars.
Toggles for Flexibility: Options to disable bar coloring and the debug table allow users to customize the indicator’s visual output for cleaner charts or focused analysis.
This indicator is not a mashup of existing scripts but a purpose-built tool to visualize timeframe alignment directly through candlestick direction, offering traders a straightforward way to confirm trend consistency.
What It Does
The Timeframe Continuity Indicator colors bars on your chart when the direction of the current timeframe’s candlestick (bullish, bearish, or neutral) aligns with the direction of the selected higher timeframes:
Lime: The current bar (e.g., 1m) is bullish or neutral, and all selected higher timeframes (e.g., 10m) are bullish.
Pink: The current bar is bearish or neutral, and all selected higher timeframes are bearish.
Default Color: If the directions don’t align (e.g., 1m bar is bearish but 10m is bullish), the bar remains the default chart color.
The indicator also includes a debug table (toggleable) that shows the direction of each selected timeframe and the current timeframe, helping traders diagnose alignment issues.
How It Works
The script uses the following methodology:
1. Direction Calculation: For each timeframe (current and selected higher timeframes), the script determines the candlestick’s direction:
Bullish (1): close > open / Bearish (-1): close < open / Neutral (0): close == open
Higher timeframe directions are fetched using Pine Script’s request.security function, ensuring accurate data retrieval.
2. Alignment Check: The script checks if all selected higher timeframes are uniformly bullish (full_bullish) or bearish (full_bearish).
o A higher timeframe must have a clear direction (bullish or bearish) to trigger coloring. If any selected timeframe is neutral, alignment fails, and no coloring occurs.
3. Coloring Logic: The current bar is colored only if its direction aligns with the higher timeframes:
Lime if the higher timeframes are bullish and the current bar is bullish or neutral.
Maroon if the higher timeframes are bearish and the current bar is bearish or neutral.
If the current bar’s direction opposes the higher timeframe (e.g., 1m bearish, 10m bullish), the bar remains uncolored.
Users can disable bar coloring entirely via the settings, leaving bars in their default chart color.
4. Direction Table:
A table in the top-right corner (toggleable) displays the direction of each selected timeframe and the current timeframe, using color-coded labels (green for bullish, red for bearish, gray for neutral).
This feature helps traders understand why a bar is or isn’t colored, making the indicator accessible to users unfamiliar with Pine Script.
How to Use
1. Add the Indicator: Add the "Timeframe Continuity Indicator" to your chart in TradingView (e.g., a 1m chart of SPY).
2. Configure Settings:
Timeframe Selection: Check the boxes for the higher timeframes you want to compare against (default: 10m). Options include 5m, 10m, 15m, 30m, 1h, 2h, 4h, 1D, 1W, and 1M. Select multiple timeframes if you want to ensure alignment across all of them (e.g., 10m and 1d).
Enable Bar Coloring: Default: true (bars are colored lime or maroon when aligned). Set to false to disable coloring and keep the default chart colors.
Show Table: Default: true (table is displayed in the top-right corner). Set to false to hide the table for a cleaner chart.
3. Interpret the Output:
Colored Bars: Lime bars indicate the current bar (e.g., 1m) is bullish or neutral, and all selected higher timeframes are bullish. Maroon bars indicate the current bar is bearish or neutral, and all selected higher timeframes are bearish. Uncolored bars (default chart color) indicate a mismatch (e.g., 1m bar is bearish while 10m is bullish) or no coloring if disabled.
Direction Table: Check the table to see the direction of each selected timeframe and the current timeframe.
4. Example Use Case:
On a 1m chart of SPY, select the 10m timeframe.
If the 10m timeframe is bearish, 1m bars that are bearish or neutral will color maroon, confirming you’re trading with the higher timeframe’s trend.
If a 1m bar is bullish while the 10m is bearish, it remains uncolored, signaling a potential misalignment to avoid trading.
Underlying Concepts
The indicator is based on the concept of Timeframe Continuity, a strategy used by traders to ensure that price action on a lower timeframe aligns with the trend on higher timeframes. This reduces the risk of entering trades against the broader market direction. The script directly compares candlestick directions (bullish, bearish, or neutral) rather than relying on lagging indicators like moving averages or RSI, providing a real-time, price-action-based confirmation of trend alignment. The handling of neutral candles ensures that minor indecision on the lower timeframe doesn’t interrupt the visualization of the higher timeframe’s trend.
Why This Indicator?
Simplicity: Directly compares candlestick directions, avoiding complex calculations or lagging indicators.
Flexibility: Customizable timeframes and toggles cater to various trading strategies.
Transparency: The debug table makes the indicator’s logic accessible to all users, not just those who can read Pine Script.
Practicality: Helps traders confirm trend alignment, a key factor in successful trading across timeframes.
Uptrick: Oscillator SpectrumUptrick: Oscillator Spectrum is a versatile trading tool designed to bring together multiple aspects of technical analysis—oscillators, momentum signals, divergence checks, correlation insights, and more—into one script. It includes customizable overlays and alert conditions intended to address a wide range of market conditions and trading styles.
Developed in Pine Script™, Uptrick: Oscillator Spectrum represents an extended version of the classic Ultimate Oscillator concept. It consolidates short-, medium-, and long-term momentum readings, applies correlation analysis across different symbols, and offers optional table-based metrics to provide traders with a more structured overview of potential trade setups. Whether used alongside your existing charts or as a standalone toolkit, it aims to build on and enhance the functionality of the standard Ultimate Oscillator.
### A Few Key Features
- Momentum Insights: Multiple timeframes for oscillators, plus buy/sell signal modes for flexible identification of overbought/oversold situations or crossovers.
- Divergence Detection: Automated checks for bullish/bearish divergences, aiming to help traders spot potential shifts in momentum.
- Correlation Meter: A visual histogram summarizing how selected assets are collectively trending. It is useful for tracking the bigger market picture.
- Gradient Overlays & Bar Coloring: Dynamic color transitions designed to emphasize changes in momentum, trend shifts, and overall sentiment without cluttering the chart.
- Money Flow Tracker: Tracks the flow of money into and out of the market using a smoothed Money Flow Index (MFI). Highlights overbought/oversold conditions with dynamic bar coloring and visual gradient fills, helping traders assess volume-driven sentiment shifts.
- Advanced Table Metrics: An optional table showing return on investment (ROI), collateral risk, and other contextual metrics for supported assets.
- Alerts & Automation: Configurable alerts covering divergence events, crossing of critical levels, and more, helping to keep traders informed of developments in real time.
### Intended Usage
- For Multiple Markets: Works on various markets (cryptocurrencies, forex pairs, stocks) to deliver a consistent view of momentum, potential entry/exit signals, and correlation.
- Adaptable Trading Styles: With customizable input settings, you can enable or disable specific features to align with your preferred strategies—intraday scalping, swing trading, or position holding.
By combining these elements under one indicator, Uptrick: Oscillator Spectrum allows traders to streamline analysis workflows, helping them stay focused on interpreting market moves and making informed decisions rather than juggling multiple scripts.
Purpose
Purpose of the “Uptrick: Oscillator Spectrum” Indicator
The “Uptrick: Oscillator Spectrum” indicator is intended to bring together several technical analysis elements into one tool. It combines oscillator-based momentum readings across different lookback periods, checks for potential divergences, provides optional buy/sell signal triggers, and offers correlation-based insights across multiple symbols. Additionally, it includes features such as bar coloring, gradient visualization, and user-configurable alerts to help highlight various market conditions.
By consolidating these functions, the script aims to help users systematically observe changing momentum, identify when prices reach user-defined overbought or oversold levels, detect when oscillator movements diverge from price, and examine whether different assets are aligning or diverging in their trends. The indicator also allows for optional advanced metric tables, which can supply further context on risk, ROI calculations, or other factors for supported assets. Overall, the script’s purpose is to organize multiple layers of technical analysis so that users have a structured way to evaluate potential trade opportunities and market behavior.
## Usage Guide
Below is an outline of how you can utilize the various components and features of Uptrick: Oscillator Spectrum in your charting workflow.
---
### 1. Using the Core Oscillator
- Basic View: By default, the script calculates a multi-timeframe oscillator (commonly displayed as the “Ultimate Oscillator”). This oscillator combines short-, medium-, and long-term measurements of buying pressure and true range.
- Overbought/Oversold Zones: You can configure thresholds (e.g., 70 for overbought, 30 for oversold) to help identify potential turning points. When the oscillator crosses these levels, it may indicate that price is extended in one direction.
- You can use the colors of the main oscillator to help you take short-term trades as well: cyan : Buy , red: Sell
- Alerts: If you enable alerts, the indicator can notify you when the oscillator crosses above or below your chosen overbought/oversold boundaries or when you get buy/sell signals.
---
### 2. Buy/Sell Signals in Overlay Modes
Uptrick: Oscillator Spectrum provides several signal modes and a choice between overlay true and overlay false or both. Additionally, you can pick which “line” (data source) the script uses to generate signals. This is set in the “Line to Analyze” dropdown, which includes Oscillator, HMA of Oscillator, and Moving Average. The following sections describe how each piece fits together.
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#### Line to Analyze - Overlay Flase: Oscillator / HMA of Oscillator / Moving Average
1. Oscillator
- The core momentum reading, reflecting short-, medium-, and long-term periods combined.
2. HMA of Oscillator
- Applies a Hull Moving Average to the oscillator, creating a smoother but still responsive curve.
- Signals will be derived from this smoothed line. Some traders find it filters out minor fluctuations while remaining quicker to react than standard averages.
3. Moving Average
- Uses a user-selected MA type (SMA, EMA, WMA, etc.) over the oscillator values, rather than the raw oscillator itself.
- Tends to be more stable than the raw oscillator, but might delay signals more depending on the chosen MA settings.
---
#### Signal Modes
Regardless of which line you choose to analyze, you can use one of the following seven signal modes in overlay being true:
1. Overbought/Oversold (Pyramiding)
- What It Does:
- Buy signal when the chosen line crosses below the oversold threshold.
- Sell signal when it crosses above the overbought threshold.
- Pyramiding:
- Allows multiple triggers within the same overbought/oversold event.
2. Overbought/Oversold (Non Pyramiding)
- What It Does:
- Same thresholds but only one signal per oversold or overbought event.
- Use Case:
- Prevents repeated signals and chart clutter.
3. Smoothed MA Middle Crossover
- What It Does:
- Uses an MA defined by the user.
- Buy when crossing above the midpoint (50), Sell when crossing below.
- Use Case:
- Generates fewer signals, focusing on broader momentum shifts. There is no pyramiding.
In this image ,for example, the VWMA is used with length of 14 to identify buy sell signals.
4. Crossing Above Overbought/Below Oversold (Non Pyramiding)
- What It Does:
- Buy occurs if the line exits oversold territory by crossing back above it.
- Sell occurs if the line exits overbought territory by crossing back below it.
- Non Pyramiding:
- Restricts repeated signals until conditions reset.
5. Crossing Above Overbought/Below Oversold (Pyramiding)
- What It Does:
- Same thresholds, but allows multiple signals if the line repeatedly dips in and out of overbought or oversold.
- Use Case:
- More frequent entries/exits for active traders.
6. Divergence (Non Pyramiding)
- What It Does:
- Identifies bullish or bearish divergences using the chosen line vs. price.
- Buy for bullish divergence (higher low on the line vs. lower low on price), Sell for bearish divergence.
- Single Trigger:
- Only one signal per identified divergence event. (non pyramiding)
7. Divergence (Pyramiding)
- What It Does:
- Same divergence logic but triggers multiple times if the script sees repeated divergence in the same direction.
- Use Case:
- Could suit traders who layer positions during sustained divergence scenarios.
#### Overlay Modes: True vs. False
1. Overlay True
- Buy/sell arrows or labels plot directly on the main price chart, often at or near candlesticks.
- Bar Coloring:
- Can turn the candlestick bars green (buy) or red (sell), with intensity reflecting signal recency if bar coloring is enabled for this mode. (read below.)
- Advantage:
- Everything (price, signals, bar colors) is in one spot, making it straightforward to associate signals with current market action. You can adjust the periods of the main oscillator or lookback periods of divergences or overbought/oversold thresholds, to play around with your signals.
2. Overlay False
- Signal Placement:
- Signals appear in a sub-window or oscillator panel, leaving the main price chart uncluttered.
- Bar Coloring:
- You may still enable bar colors on the main chart (green for buy, red for sell) if desired.
- Alternatively, you can keep them neutral if you prefer a completely separate display of signals.
- Advantage:
- Clear separation of price action from signals, useful for cleaner charts or if using multiple overlay-based tools.
At the bottom are the signals for overlay being false and on the chart are the signals for overlay being true:
#### Bar Color Adjustments
1. Coloring Logic
- Bars typically go green on buy signals, red on sell signals.
- The opacity or brightness can vary to indicate signal freshness. When a new signal is formed, the color gets brighter. When there is no signal for a longer period of time, then the color slowly fades.
2. Enabling Bar Coloring
- In the indicator’s settings, turn on Bar Coloring.
- Choose “Signals Overlay True” or “Signals Overlay False” from the “Color should depend on:” dropdown, depending on which overlay approach you want to drive your bar colors. You can also chose the cloud fill in overlay false, correlation meter and smoothed HMA to color bars. Read more below:
### Bar Color Options:
When you enable bar coloring in Uptrick: Oscillator Spectrum, you can select which component or signal logic drives the color changes. Below are the five available choices:
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#### Option 1: Overlay True Signals
- What It Does:
- Uses signals generated under the Overlay True mode to color the bars on your main chart.
- If a buy signal is triggered, bars turn green. If a sell signal occurs, bars turn red.
- Color Intensity:
- Bars appear brighter (more opaque) immediately after a new signal fires, then gradually fade over subsequent bars if no new signal appears.
---
#### Option 2: Overlay False Signals
- What It Does:
- Links bar coloring to signals generated when Overlay False mode is active.
- Buy/sell labels typically plot in a separate sub-window instead of the main chart, but your price bars can still change color based on these signals.
- Color Intensity:
- Similar to Overlay True, new buy/sell signals yield stronger color intensity, which fades over time.
- Use Case:
- Helps maintain a clean main chart (with signals off-chart) while still providing an immediate color-coded indication of a buy or sell state.
- Particularly useful if you prefer less clutter from signal markers on your price chart yet still want a visual representation of signal timing.
In this example normal divergence Pyramiding Signals are used in the overlay being true and the signals in overlay false are signals that analyze the HMA. This can help clear out noise (using a combo of both).
Option 3: Money Flow Tracker
What It Does:
The Money Flow Tracker uses the Money Flow Index (MFI), a volume-weighted oscillator, to measure the strength of money flowing into or out of an asset. The script smooths the raw MFI data using an EMA for a more responsive and visually intuitive output.
The feature also includes dynamic color gradients and bar coloring that highlight whether money flow is positive or negative.
Green Fill/Bar Color: Indicates positive money flow, suggesting potential accumulation.
Red Fill/Bar Color: Indicates negative money flow, signaling potential distribution.
Overbought and oversold thresholds are dynamically emphasized with transparency, making it easier to identify high-confidence zones.
Use Case:
Ideal for traders focusing on volume-driven sentiment to identify turning points or confirm existing trends.
Suitable for assessing broader market conditions when used alongside other indicators like oscillators or correlation analysis.
Provides additional clarity in spotting areas of accumulation or distribution, making it a valuable complement to price action and momentum studies.
---
#### Option 4: Correlation Meter
- What It Does:
- Colors the bars based on the indicator’s Correlation Meter output. The script checks multiple chosen tickers and sums up how many are trending positively or negatively.
- If the meter indicates an overall bullish bias (e.g., more than three assets in uptrend), bars turn green; if it’s bearish, bars turn red.
- Trend Readings:
- The correlation meter typically plots a histogram of bullish/neutral/bearish states. The bar color option links your chart’s candlestick coloring to that higher-level market sentiment.
- Use Case:
- Useful for traders wanting a quick visual prompt of whether the broader market (or a selection of related assets) is bullish or bearish at any given time.
- Helps avoid signals that conflict with the market majority.
#### Option 5: Smoothed HMA
- What It Does:
- Bar colors are driven by the slope or state of the Hull Moving Average (HMA) of the oscillator, rather than individual buy/sell triggers or correlation data.
- If the HMA indicates a strong upward slope (possibly darkening), bars may turn green; if the slope is downward (purple in the HMA line), bars turn red.
- Use Case:
- Ideal for those who focus on momentum continuity rather than discrete signals like overbought/oversold or divergence.
- May help identify smoother, more sustained moves, as the HMA filters out minor oscillations.
---
### 3. Using the Hull Moving Average (HMA) of the Oscillator
- HMA Calculation: You can enable a dedicated Hull Moving Average (HMA) for the oscillator. This creates a smoother line of the same underlying momentum reading, typically responding more quickly than classic moving averages.
- Color Intensity: As the HMA sustains an uptrend or downtrend, the script can adjust the line’s color. When slope momentum persists in one direction, the color appears more opaque. This intensification can hint that the existing direction may be well-established.
- Reversal Potential: If you observe the HMA color shifting or darkening after multiple bars of slope in the same direction, it may indicate increasing momentum. Conversely, a sudden flattening or change in color can be a clue that momentum is waning.
---
### 4. Moving Average Overlays & Gradient Cloud
- Oscillator MA: The script allows you to apply moving average types (SMA, EMA, SMMA, WMA, or VWMA) to the core oscillator, rather than to price. This can smooth out noise in the oscillator, potentially highlighting more consistent momentum shifts.
- Gradient Cloud: You can also enable a cloud in overlay true between two moving averages (for instance, a Hull MA and a Double EMA) on the price chart. The cloud fills with different colors, depending on which MA is above the other. This can provide a quick visual reference to bullish or bearish areas.
---
### 5. Divergence Detection
- Bullish & Bearish Divergence: By toggling “Calculate Divergence,” the script looks for oscillator pivots that contrast with price pivots (e.g., price making a lower low while the oscillator makes a higher low).
- A divergence is when the price makes an opposite pivot to the indicator value. E.g. Price makes lower low but indicator does higher low - This suggests a bullish divergence. THe opposite is for a bearish divergence.
- Visual Labels: When a divergence is found, labels (such as “Bull” or “Bear”) appear on the oscillator. This helps you see if the oscillator’s momentum patterns differ from the price movement.
- Filtering Signals: You can combine divergence signals with other features like overbought/oversold or the HMA slope to refine potential entries or exits.
---
### 6. Correlation & Multi-Ticker Analysis
- Correlation Meter: You can select up to five tickers in the settings. The script calculates a slope-based metric for each, then combines those metrics to show an overall bullish or bearish tendency (displayed as a histogram).
- Bar Coloring & Overlay: If you activate correlation-based bar coloring, it will reflect the broader trend alignment among the selected assets, potentially indicating when most are trending in the same direction.
- Use Case: If you trade multiple markets, the correlation histogram can help you quickly see if several major assets support the same market bias or are diverging from one another.
—
### 7. Money Flow Tracker
Money Flow Calculation: The Money Flow Tracker calculates the Money Flow Index (MFI) based on price and volume data, factoring in buying pressure and selling pressure. The output is smoothed using a low-lag EMA to reduce noise and enhance usability.
Visual Features:
Dynamic Gradient Fill:
The space between the smoothed MFI line and the midline (set at 50) is filled with a gradient.
Above 50: Green gradient, with intensity increasing as the MFI moves further above the midline.
Below 50: Red gradient, with intensity increasing as the MFI moves further below the midline.
This gradient provides a clear visual representation of money flow strength and direction, making it easier to assess sentiment shifts at a glance.
Overbought/Oversold Levels: Default thresholds are set at 70 (overbought) and 30 (oversold). When the MFI crosses these levels, it signals potential reversals or trend continuations.
Bar Coloring:
Bars turn green for positive money flow and red for negative money flow.
Color intensity fades over time, ensuring recent signals stand out while older ones remain visible without dominating the chart.
Alerts:
Alerts are triggered when the Money Flow Tracker crosses into overbought or oversold zones, keeping traders informed of critical conditions without constant monitoring.
Practical Applications:
Trend Confirmation: Use the Money Flow Tracker alongside the oscillator or HMA to confirm trends or identify potential reversals.
Volume-Based Reversal Signals: Spot turning points where price action aligns with shifts in money flow direction.
Sentiment Analysis: Gauge whether market participants are accumulating (positive flow) or distributing (negative flow) assets, offering an additional layer of insight into price movement.
(Space for an example chart: “Money Flow Tracker with gradient fills and overbought/oversold levels”)
### 8. Putting It All Together
- Combining Signals: A practical approach might be to watch for a bullish divergence in the oscillator, confirm it with a shift in the HMA slope color, and then wait for the price to be near or below oversold conditions. The correlation histogram may further confirm if the broader market is also leaning bullish at that time.
- Visual Cues: Bar coloring adds another layer, making your chart easier to interpret at a glance. You can also set alerts to ensure you don’t miss key events like divergences, crossovers, or moving average flips.
- Flexibility: Not every feature needs to be used simultaneously. You might opt to focus on divergences and overbought/oversold signals, or you could emphasize the correlation histogram and bar colors. The settings let you enable or disable each module to suit your style.
---
### 9. Tips for Customization
- Adjust Periods: Shorter periods can yield more signals but also more noise. Longer periods may provide steadier, but fewer, signals.
- Set Appropriate Alert Conditions: Only alert on events most relevant to your strategy to avoid overload.
- Explore Different MAs: Depending on the instrument, some moving average types may give a smoother or more responsive indication.
- Monitor Risk Management: As with any tool, these signals do not guarantee performance, so consider position sizing and stop-loss strategies.
---
By toggling and experimenting with the features described above—buy/sell signals, divergences, moving averages, dynamic gradient clouds, and correlation analysis—you can tailor Uptrick: Oscillator Spectrum to your specific trading approach. Each module is designed to give you a clearer, structured view of potential momentum shifts, overbought or oversold states, and the alignment or divergence of multiple assets.
## Features Explanation
Below is a detailed overview of key features in Uptrick: Oscillator Spectrum. Each component is designed to provide different angles of market analysis, allowing you to customize the tool to your preferences.
---
### 1. Main Oscillator
- Purpose: The primary oscillator in this script merges short-, medium-, and long-term views of buying pressure and true range into a single line.
- Calculation: It weights each period’s contribution (e.g., a heavier focus on the short period if desired) and normalizes the result on a 0–100 scale, where higher readings may suggest more robust momentum. (like from the classic Ultimate Oscillator)
- Practical Use:
- Traders can watch for overbought/oversold conditions at user-defined thresholds (e.g., 70/30).
- It can also provide a straightforward momentum reading for those who prefer to see if momentum is rising, falling, or leveling off.
---
### 2. HMA of the Smoothed Oscillator
- What It Is: A Hull Moving Average (HMA) applied to the main oscillator values. The HMA is often more responsive than standard MAs, offering smoother lines while preserving relatively quick reaction to changes.
- How It Works:
- The script takes the oscillator’s output and processes it through a Hull MA calculation.
- The HMA’s slope and color can change more dynamically, highlighting sharper momentum shifts.
- Why It’s Useful:
- By smoothing out minor fluctuations, the HMA can highlight trends in the oscillator’s trajectory.
- If you see an extended run in the HMA slope, it may indicate a more persistent trend in momentum.
- Color Intensity:
- As the HMA continues in one direction for several bars, the script can intensify the color, signaling stronger or more sustained momentum in that direction.
- Sudden changes in color or slope can signal the start of a new momentum swing.
---
### 3. Gradient Fill
This script uses two gradient-based visual elements:
1. Shining/Layered Gradient on the Main Oscillator
- Purpose: Adds multiple layers around the oscillator line (above and below) to emphasize slope changes and highlight how quickly the oscillator is moving up or down.
- Color Changes:
- When the oscillator rises, it uses a color scheme (e.g., aqua/blue) that intensifies as the slope grows.
- When the oscillator declines, it uses a distinct color (e.g., red/pink).
- User Benefit: Makes it easier to see at a glance if momentum is accelerating or decelerating, beyond just the numerical reading.
2. Dynamic Cloud Fill (Between MAs)
- Purpose: Allows you to plot two moving averages (for example, a short-term Hull MA and a longer-term DEMA) and fill the area between them with a color gradient.
- Bullish vs. Bearish:
- When the short MA is above the long MA, the cloud might appear in a greenish hue.
- When the short MA is below the long MA, the cloud can switch to red or another color.
- Transparency/Intensity:
- The fill can get more opaque if the difference between the two MAs is large, indicating a stronger trend but a higher probability of a reversal.
- User Benefit: Helps visualize changes in trend or momentum across multiple time horizons, all within a single chart overlay.
---
### 4. Correlation Meter & Symbol Inputs
- What It Is: This feature looks at multiple user-selected symbols (e.g., BTC, ETH, BNB, etc.) and computes each symbol’s short-term slope. It then aggregates these slopes into an overall “trend” score.
- Inputs Configuration:
1. Ticker Inputs: You can specify up to five different tickers.
2. Timeframe: Decide whether to pull data from different chart timeframes for each symbol.
3. Slope Calculation: The script may compute, for instance, a 5-period SMA minus a 20-period SMA to gauge if each symbol is trending up or down.
- Market Trend Histogram:
- Displays a column that goes above/below zero depending on how many symbols are bullish or bearish.
- If more than three (out of five) symbols are bullish, the histogram can show a green bar at +1; if fewer than three are bullish, it can show red at –1.
- How to Use:
- Quick Glance: Lets you know if most correlated assets are aligning or diverging.
- Bar Coloring (Optional): If enabled, your main chart’s bars can reflect the aggregated correlation, turning green or red depending on the meter’s reading.
---
### 5. Advanced Metrics Table
- What It Is: An optional table displaying additional metrics for several cryptocurrencies (or any symbols you define).
- Metrics Included:
1. ROI (30D): Calculates return relative to the lowest price in a 30-day period.
2. Collateral Risk: Uses standard deviation to assess volatility (higher risk if standard deviation is large).
3. Liquidity Recovery: A rolling average of volume, aiming to show how liquidity flows might recover over time.
4. Weakening (Rate of Change): Reflects how quickly price is changing compared to previous bars.
5. Monetary Bias (SMA): A simple average of recent prices. If price is below this SMA, it might be seen as undervalued relative to the short term.
6. Risk Phase: Categorizes risk as low, medium, or high based on the standard deviation figure.
7. DCA Signal: Suggests “Accumulate” or “Do Not Accumulate” by checking if the current price is below or above the SMA.
- Why It’s Useful:
- Offers a concise view of multiple assets in one place—helpful for portfolio-level insight.
- DCA (Dollar-Cost Averaging) suggestions can guide longer-term strategies, while volatility (collateral risk) helps gauge how aggressive the price swings might be.
---
### 6. Other Vital Aspects
- Alerts & Notifications:
- The script can trigger alerts for various conditions—crossovers, divergence detections, overbought/oversold transitions, or correlation-based signals.
- Useful for automating watchlists or ensuring you don’t miss a key setup while away from the screen.
- Customization:
- Each module (oscillator settings, divergence detection, correlation meter, advanced metrics table, etc.) can be enabled or disabled based on your preferences.
- You can fine-tune parameters (e.g., periods, smoothing lengths, alert triggers) to align the indicator with different trading styles—scalping, swing, or position trading.
- Combining Features:
- One might watch the main oscillator for momentum extremes, confirm via the HMA slope, check if correlation supports the same bias, and look at the table for risk-phase validation.
- This multi-layer approach can help develop a more structured and informed trading view.
(Space for an example chart: “A fully configured layout showing oscillator, HMA, gradient cloud, correlation meter, and table all in use.”)
7. Money Flow Tracker
Purpose: The Money Flow Tracker adds a volume-based perspective to the indicator suite by incorporating the Money Flow Index (MFI), which assesses buying and selling pressure over a defined period. By smoothing the MFI using an exponential moving average (EMA), the feature highlights the directional flow of capital into and out of the market with greater clarity and reduced noise.
Dynamic Gradient Visualization:
The Money Flow Tracker enhances visual analysis with gradient fills that reflect the MFI’s relationship to the midline (50).
Above 50: A green gradient emerges, intensifying as the MFI moves higher, indicating stronger positive money flow.
Below 50: A red gradient appears, with deeper shades signifying increasing selling pressure.
Transparency dynamically adjusts based on the MFI’s proximity to the midline, making high-confidence zones (closer to 0 or 100) visually distinct.
Directional Sensitivity:
The Tracker emphasizes the importance of overbought (above 70) and oversold (below 30) zones. These thresholds help traders identify when an asset might be overextended, signaling potential reversals or trend continuations.
The inclusion of a midline (50) as a neutral zone helps gauge shifts between accumulation (money flowing in) and distribution (money flowing out).
Bar Integration:
By enabling bar coloring linked to the Money Flow Tracker, traders can visualize its impact directly on price bars.
Green bars reflect positive money flow (above 50), signaling bullish conditions.
Red bars indicate negative money flow (below 50), highlighting bearish sentiment.
Intensity adjustments ensure that recent signals are more visually prominent, while older signals gradually fade for a clean, non-cluttered chart.
Key Advantages:
Volume-Informed Context: Traditional oscillators often focus solely on price; the Money Flow Tracker incorporates volume, adding a crucial dimension for analyzing market behavior.
Adaptive Filtering: The EMA-smoothing feature ensures that sudden, insignificant spikes in volume don’t trigger false signals, providing a clearer and more actionable representation of money flow trends.
Early Warning System: Divergences between price movement and the Money Flow Tracker’s trends can signal potential turning points, helping traders anticipate reversals before they occur.
Practical Use Cases:
Trend Confirmation: Pair the Money Flow Tracker with the oscillator or HMA to confirm bullish or bearish trends. For example, a rising oscillator with positive money flow indicates strong buying interest.
Identifying Entry/Exit Zones: Use overbought/oversold conditions as entry/exit points, particularly when combined with other features like divergence detection.
Market Sentiment Analysis: The Tracker’s ability to dynamically assess buying and selling pressure provides a clear picture of market sentiment, helping traders adjust their strategies to align with broader trends.
By understanding these features—main oscillator readings, the HMA’s smoothing capabilities, gradient-based visual highlights, correlation insights, advanced metrics, and the money flow tracker—you can tailor Uptrick: Oscillator Spectrum to your specific needs, whether you’re focusing on quick trades, longer-term market moves, or broad portfolio health.
Originality of the “Uptrick: Oscillator Spectrum” Indicator
While it includes elements of standard momentum analysis, Uptrick: Oscillator Spectrum sets itself apart by adding an array of features that broaden the typical oscillator’s scope:
1. Slope Coloring & Layered Gradient Effects
- Beyond just plotting a single line, the indicator visually highlights momentum shifts using color changes and gradient fills.
- As the oscillator’s slope becomes steeper or flatter, these gradients intensify or fade, helping users see at a glance when momentum is accelerating, slowing, or reversing.
2. Mean Reversion & Divergence Detection
- The script offers optional logic for marking potential mean reversion points (e.g., overbought/oversold crossovers) and flagging divergences between price and the oscillator line.
- These divergence signals come with adjustable lookback parameters, giving traders control over how recent or extended the pivots should be for detection.
- This functionality can reveal subtle momentum discrepancies that a basic oscillator might overlook.
3. Integrated Multi-Asset Correlation Meter
- In addition to monitoring a single symbol, the indicator can fetch data for multiple tickers. It aggregates each symbol’s slope into a histogram showing whether the broader market (or a group of assets) leans bullish or bearish.
- This cross-market insight moves beyond standard “one-symbol, one-oscillator” usage, adding a bigger-picture perspective in one tool.
4. Advanced Metrics Table
- Users can enable a table that covers ROI calculations, volatility-based risk (“Collateral Risk”), liquidity checks, DCA signals, and more.
- Rather than just seeing an oscillator value, traders can view additional metrics for selected assets in one place, helping them judge overall market conditions or assess multiple instruments simultaneously.
5. Flexible Overlay & Bar Coloring
- Signals can be displayed directly on the price chart (Overlay True) or in a sub-window (Overlay False).
- Bars themselves may change color (e.g., green for bullish or red for bearish) according to different rules—signals, dynamic cloud fill, correlation meter states, etc.
- This adaptability allows traders to keep the chart as simple or as info-rich as they prefer.
6. Custom Smoothing Options & HMA Extensions
- The oscillator can be processed further with a Hull Moving Average (HMA) to reduce noise while still reacting quickly to market changes.
- Slope-based coloring on the HMA provides an additional layer of visual feedback, which is not common in a standard oscillator.
By blending traditional momentum checks with slope-based color feedback, mean reversion triggers, divergence signals, correlation analysis, and an optional metrics table, Uptrick: Oscillator Spectrum offers a more rounded approach than a typical oscillator. It integrates multiple market insights—both visual and analytical—into one script, giving users a broader toolkit for studying potential reversals, gauging momentum strength, and assessing multi-asset trends.
## Conclusion
Uptrick: Oscillator Spectrum brings together multiple layers of analysis—oscillator momentum, divergence detection, correlation insights, HMA smoothing, and more—into one adaptable toolkit. It aims to streamline your charting process by offering meaningful visual cues (such as gradient fills and bar color shifts), advanced tables for broader market data, and flexible alerts to keep you informed of potential setups.
Traders can choose the specific features that suit their style, whether they prefer to focus on raw oscillator signals, multi-ticker correlation, or smooth trend cues from the HMA. By centralizing these different methods in one place, Uptrick: Oscillator Spectrum can help users build more structured approaches to spotting trend shifts and extended conditions, while also remaining compatible with additional analysis techniques.
---
### Disclaimer
This script is provided for informational purposes only and does not constitute financial or investment advice. Past performance is not indicative of future results, and all trading involves risk. You should carefully consider your objectives, risk tolerance, and financial situation before making any trading decisions.
DNSE VN301!, SMA & EMA Cross StrategyDiscover the tailored Pinescript to trade VN30F1M Future Contracts intraday, the strategy focuses on SMA & EMA crosses to identify potential entry/exit points. The script closes all positions by 14:25 to avoid holding any contracts overnight.
HNX:VN301!
www.tradingview.com
Setting & Backtest result:
1-minute chart, initial capital of VND 100 million, entering 4 contracts per time, backtest result from Jan-2024 to Nov-2024 yielded a return over 40%, executed over 1,000 trades (average of 4 trades/day), winning trades rate ~ 30% with a profit factor of 1.10.
The default setting of the script:
A decent optimization is reached when SMA and EMA periods are set to 60 and 15 respectively while the Long/Short stop-loss level is set to 20 ticks (2 points) from the entry price.
Entry & Exit conditions:
Long signals are generated when ema(15) crosses over sma(60) while Short signals happen when ema(15) crosses under sma(60). Long orders are closed when ema(15) crosses under sma(60) while Short orders are closed when ema(15) crosses over sma(60).
Exit conditions happen when (whichever came first):
Another Long/Short signal is generated
The Stop-loss level is reached
The Cut-off time is reached (14:25 every day)
*Disclaimers:
Futures Contracts Trading are subjected to a high degree of risk and price movements can fluctuate significantly. This script functions as a reference source and should be used after users have clearly understood how futures trading works, accessed their risk tolerance level, and are knowledgeable of the functioning logic behind the script.
Users are solely responsible for their investment decisions, and DNSE is not responsible for any potential losses from applying such a strategy to real-life trading activities. Past performance is not indicative/guarantee of future results, kindly reach out to us should you have specific questions about this script.
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Khám phá Pinescript được thiết kế riêng để giao dịch Hợp đồng tương lai VN30F1M trong ngày, chiến lược tập trung vào các đường SMA & EMA cắt nhau để xác định các điểm vào/ra tiềm năng. Chiến lược sẽ đóng tất cả các vị thế trước 14:25 để tránh giữ bất kỳ hợp đồng nào qua đêm.
Thiết lập & Kết quả backtest:
Chart 1 phút, vốn ban đầu là 100 triệu đồng, vào 4 hợp đồng mỗi lần, kết quả backtest từ tháng 1/2024 tới tháng 11/2024 mang lại lợi nhuận trên 40%, thực hiện hơn 1.000 giao dịch (trung bình 4 giao dịch/ngày), tỷ lệ giao dịch thắng ~ 30% với hệ số lợi nhuận là 1,10.
Thiết lập mặc định của chiến lược:
Đạt được một mức tối ưu ổn khi SMA và EMA periods được đặt lần lượt là 60 và 15 trong khi mức cắt lỗ được đặt thành 20 tick (2 điểm) từ giá vào.
Điều kiện Mở và Đóng vị thế:
Tín hiệu Long được tạo ra khi ema(15) cắt trên sma(60) trong khi tín hiệu Short xảy ra khi ema(15) cắt dưới sma(60). Lệnh Long được đóng khi ema(15) cắt dưới sma(60) trong khi lệnh Short được đóng khi ema(15) cắt lên sma(60).
Điều kiện đóng vị thể xảy ra khi (tùy điều kiện nào đến trước):
Một tín hiệu Long/Short khác được tạo ra
Giá chạm mức cắt lỗ
Lệnh chưa đóng nhưng tới giờ cut-off (14:25 hàng ngày)
*Tuyên bố miễn trừ trách nhiệm:
Giao dịch hợp đồng tương lai có mức rủi ro cao và giá có thể dao động đáng kể. Chiến lược này hoạt động như một nguồn tham khảo và nên được sử dụng sau khi người dùng đã hiểu rõ cách thức giao dịch hợp đồng tương lai, đã đánh giá mức độ chấp nhận rủi ro của bản thân và hiểu rõ về logic vận hành của chiến lược này.
Người dùng hoàn toàn chịu trách nhiệm về các quyết định đầu tư của mình và DNSE không chịu trách nhiệm về bất kỳ khoản lỗ tiềm ẩn nào khi áp dụng chiến lược này vào các hoạt động giao dịch thực tế. Hiệu suất trong quá khứ không chỉ ra/cam kết kết quả trong tương lai, vui lòng liên hệ với chúng tôi nếu bạn có thắc mắc cụ thể về chiến lược giao dịch này.
Futures Risk CalculatorFutures Risk Calculator Script - Description
The Futures Risk Calculator (FRC) is a comprehensive tool designed to help traders effectively manage risk when trading futures contracts. This script allows users to calculate risk/reward ratios directly on the chart by specifying their entry price and stop loss. It's an ideal tool for futures traders who want to quantify their potential losses and gains with precision, based on their trading account size and the number of contracts they trade.
What the Script Does:
1. Risk and Reward Calculation:
The script calculates your total risk in dollars and as a percentage of your account size based on the entry and stop-loss prices you input.
It also calculates two key levels where potential reward (Take Profit 1 and Take Profit 2) can be expected, helping you assess the reward-to-risk ratio for any trade.
2. Customizable Settings:
You can specify the size of your trading account (available $ for Futures trading) and the number of futures contracts you're trading. This allows for tailored risk management that reflects your exact trading conditions.
3. Live Chart Integration:
You add the script to your chart after opening a futures chart in TradingView. Simply click on the chart to set your Entry Price and Stop Loss. The script will instantly calculate and display the risk and reward levels based on the points you set.
Adjusting the entry and stop-loss points later is just as easy: drag and drop the levels directly on the chart, and the risk and reward calculations update automatically.
4. Futures Contract Support:
The script is pre-configured with a list of popular futures symbols (like ES, NQ, CL, GC, and more). If your preferred futures contract isn’t in the list, you can easily add it by modifying the script.
The script uses each symbol’s point value to ensure precise risk calculations, providing you with an accurate dollar risk and potential reward based on the specific contract you're trading.
How to Use the Script:
1. Apply the Script to a Futures Chart:
Open a futures contract chart in TradingView.
Add the Futures Risk Calculator (FRC) script as an indicator.
2. Set Entry and Stop Loss:
Upon applying the script, it will prompt you to select your entry price by clicking the chart where you plan to enter the market.
Next, click on the chart to set your stop-loss level.
The script will then calculate your total risk in dollars and as a percentage of your account size.
3. View Risk, Reward, and (Take Profit):
You can immediately see visual lines representing your entry, stop loss, and the calculated reward-to-risk ratio levels (Take Profit 1 and Take Profit 2).
If you want to adjust the entry or stop loss after plotting them, simply move the points on
the chart, and the script will recalculate everything for you.
4. Configure Account and Contracts:
In the script settings, you can enter your account size and adjust the number of contracts you are trading. These inputs allow the script to calculate risk in monetary terms and as a percentage, making it easier to manage your risk effectively.
5. Understand the Information in the Table:
Once you apply the script, a table will appear in the top-right corner of your chart, providing you with key information about your futures contract and the trade setup. Here's what each field represents:
Account Size: Displays your total account value, which you can set in the script's settings.
Future: Shows the selected futures symbol, along with key details such as its tick size and point value. This gives you a clear understanding of how much one point or tick is worth in dollar terms.
Entry Price: The exact price at which you plan to enter the trade, displayed in green.
Stop Loss Price: The price level where you plan to exit the trade if the market moves against you, shown in red.
Contracts: The number of futures contracts you are trading, which you can adjust in the settings.
Risk: Highlighted in orange, this field shows your total risk in dollars, as well as the percentage risk based on your account size. This is a crucial value to help you stay within your risk tolerance and manage your trades effectively.
ICT Immediate Rebalance [LuxAlgo]The ICT Immediate Rebalance aims at detecting and highlighting immediate rebalances, a concept taught by Inner Circle Trader. The ICT Immediate Rebalance, although frequently overlooked, emerges as one of ICT's most influential concepts, particularly when considered within a specific context.
🔶 USAGE
Immediate rebalances, a concept taught by ICT, hold significant importance in decision-making. To comprehend the concept of immediate rebalance, it's essential to grasp the notion of the fair value gap. A fair value gap arises from market inefficiencies or imbalances, whereas an immediate rebalance leaves no gap, no inefficiencies, or no imbalances that the price would need to return to.
Following an immediate rebalance, the typical expectation is for two extension candles to ensue; failing this, the immediate rebalance is deemed unsuccessful. It's important to note that both failed and successful immediate rebalances hold significance in trading when analyzed within a contextual framework.
Immediate rebalances can manifest across various locations and timeframes. It's recommended to analyze them in conjunction with other ICT tools or technical indicators to gain a more comprehensive understanding of market dynamics.
🔹 Multi Timeframe
The script facilitates multi-timeframe analysis, enabling users to display immediate rebalances from higher timeframes.
Enabling the display of higher timeframe candles helps visualize the detected immediate rebalance patterns.
🔹 Dashboard
The dashboard offers statistical insights into immediate rebalances.
🔶 SETTINGS
🔹 Immediate Rebalances
Timeframe: this option is to identify immediate rebalances from higher timeframes. If a timeframe lower than the chart's timeframe is selected, calculations will be based on the chart's timeframe.
Bullish, and Bearish Immediate Rebalances: color customization options.
Wicks 75%, %50, and %25: color customization options of the wick price levels for the detected immediate rebalances.
Immediate Rebalance Candles: toggles the visualization of higher timeframe candles where immediate rebalance is detected.
Confirmation (Bars): specifies the number of bars required to confirm the validation of the detected immediate rebalance.
Immediate Rebalance Icon: allows customization of the size of the icon used to represent the immediate rebalance.
🔹 Dashboard
Dashboard: toggles the visualization of the dashboard, sets its location, and customizes the size of the dashboard.
🔶 RELATED SCRIPTS
Fair-Value-Gap
Thanks to our community for recommending this script. For more conceptual scripts and related content, we welcome you to explore by visiting >>> LuxAlgo-Scripts .
CCOMET_Scanner_LibraryLibrary "CCOMET_Scanner_Library"
- A Trader's Edge (ATE)_Library was created to assist in constructing CCOMET Scanners
Loc_tIDs_Col(_string, _firstLocation)
TickerIDs: You must form this single tickerID input string exactly as described in the scripts info panel (little gray 'i' that
is circled at the end of the settings in the settings/input panel that you can hover your cursor over this 'i' to read the
details of that particular input). IF the string is formed correctly then it will break up this single string parameter into
a total of 40 separate strings which will be all of the tickerIDs that the script is using in your CCOMET Scanner.
Locations: This function is used when there's a desire to print an assets ALERT LABELS. A set Location on the scale is assigned to each asset.
This is created so that if a lot of alerts are triggered, they will stay relatively visible and not overlap each other.
If you set your '_firstLocation' parameter as 1, since there are a max of 40 assets that can be scanned, the 1st asset's location
is assigned the value in the '_firstLocation' parameter, the 2nd asset's location is the (1st asset's location+1)...and so on.
Parameters:
_string (simple string) : (string)
A maximum of 40 Tickers (ALL joined as 1 string for the input parameter) that is formulated EXACTLY as described
within the tooltips of the TickerID inputs in my CCOMET Scanner scripts:
assets = input.text_area(tIDset1, title="TickerID (MUST READ TOOLTIP)", tooltip="Accepts 40 TICKERID's for each
copy of the script on the chart. TEXT FORMATTING RULES FOR TICKERID'S:
(1) To exclude the EXCHANGE NAME in the Labels, de-select the next input option.
(2) MUST have a space (' ') AFTER each TickerID.
(3) Capitalization in the Labels will match cap of these TickerID's.
(4) If your asset has a BaseCurrency & QuoteCurrency (ie. ADAUSDT ) BUT you ONLY want Labels
to show BaseCurrency(ie.'ADA'), include a FORWARD SLASH ('/') between the Base & Quote (ie.'ADA/USDT')", display=display.none)
_firstLocation (simple int) : (simple int)
Optional (starts at 1 if no parameter added).
Location that you want the first asset to print its label if is triggered to do so.
ie. loc2=loc1+1, loc3=loc2+1, etc.
Returns: Returns 40 output variables in the tuple (ie. between the ' ') with the TickerIDs, 40 variables for the locations for alert labels, and 40 Colors for labels/plots
TickeridForLabelsAndSecurity(_ticker, _includeExchange)
This function accepts the TickerID Name as its parameter and produces a single string that will be used in all of your labels.
Parameters:
_ticker (simple string) : (string)
For this parameter, input the varible named '_coin' from your 'f_main()' function for this parameter. It is the raw
Ticker ID name that will be processed.
_includeExchange (simple bool) : (bool)
Optional (if parameter not included in function it defaults to false ).
Used to determine if the Exchange name will be included in all labels/triggers/alerts.
Returns: ( )
Returns 2 output variables:
1st ('_securityTickerid') is to be used in the 'request.security()' function as this string will contain everything
TV needs to pull the correct assets data.
2nd ('lblTicker') is to be used in all of the labels in your CCOMET Scanner as it will only contain what you want your labels
to show as determined by how the tickerID is formulated in the CCOMET Scanner's input.
InvalID_LblSz(_barCnt, _close, _securityTickerid, _invalidArray, _tablePosition, _stackVertical, _lblSzRfrnce)
INVALID TICKERIDs: This is to add a table in the middle right of your chart that prints all the TickerID's that were either not formulated
correctly in the '_source' input or that is not a valid symbol and should be changed.
LABEL SIZES: This function sizes your Alert Trigger Labels according to the amount of Printed Bars the chart has printed within
a set time period, while also keeping in mind the smallest relative reference size you input in the 'lblSzRfrnceInput'
parameter of this function. A HIGHER % of Printed Bars(aka...more trades occurring for that asset on the exchange),
the LARGER the Name Label will print, potentially showing you the better opportunities on the exchange to avoid
exchange manipulation liquidations.
*** SHOULD NOT be used as size of labels that are your asset Name Labels next to each asset's Line Plot...
if your CCOMET Scanner includes these as you want these to be the same size for every asset so the larger ones dont cover the
smaller ones if the plots are all close to each other ***
Parameters:
_barCnt (float) : (float)
Get the 1st variable('barCnt') from the Security function's tuple and input it as this functions 1st input
parameter which will directly affect the size of the 2nd output variable ('alertTrigLabel') that is also outputted by this function.
_close (float) : (float)
Put your 'close' variable named '_close' from the security function here.
_securityTickerid (string) : (string)
Throughout the entire charts updates, if a '_close' value is never registered then the logic counts the asset as INVALID.
This will be the 1st TickerID variable (named _securityTickerid) outputted from the tuple of the TickeridForLabels()
function above this one.
_invalidArray (array) : (array string)
Input the array from the original script that houses all of the invalidArray strings.
_tablePosition (simple string) : (string)
Optional (if parameter not included, it defaults to position.middle_right). Location on the chart you want the table printed.
Possible strings include: position.top_center, position.top_left, position.top_right, position.middle_center,
position.middle_left, position.middle_right, position.bottom_center, position.bottom_left, position.bottom_right.
_stackVertical (simple bool) : (bool)
Optional (if parameter not included, it defaults to true). All of the assets that are counted as INVALID will be
created in a list. If you want this list to be prited as a column then input 'true' here, otherwise they will all be in a row.
_lblSzRfrnce (string) : (string)
Optional (if parameter not included, it defaults to size.small). This will be the size of the variable outputted
by this function named 'assetNameLabel' BUT also affects the size of the output variable 'alertTrigLabel' as it uses this parameter's size
as the smallest size for 'alertTrigLabel' then uses the '_barCnt' parameter to determine the next sizes up depending on the "_barCnt" value.
Returns: ( )
Returns 2 variables:
1st output variable ('AssetNameLabel') is assigned to the size of the 'lblSzRfrnceInput' parameter.
2nd output variable('alertTrigLabel') can be of variying sizes depending on the 'barCnt' parameter...BUT the smallest
size possible for the 2nd output variable ('alertTrigLabel') will be the size set in the 'lblSzRfrnceInput' parameter.
PrintedBarCount(_time, _barCntLength, _barCntPercentMin)
The Printed BarCount Filter looks back a User Defined amount of minutes and calculates the % of bars that have printed
out of the TOTAL amount of bars that COULD HAVE been printed within the same amount of time.
Parameters:
_time (int) : (int)
The time associated with the chart of the particular asset that is being screened at that point.
_barCntLength (int) : (int)
The amount of time (IN MINUTES) that you want the logic to look back at to calculate the % of bars that have actually
printed in the span of time you input into this parameter.
_barCntPercentMin (int) : (int)
The minimum % of Printed Bars of the asset being screened has to be GREATER than the value set in this parameter
for the output variable 'bc_gtg' to be true.
Returns: ( )
Returns 2 outputs:
1st is the % of Printed Bars that have printed within the within the span of time you input in the '_barCntLength' parameter.
2nd is true/false according to if the Printed BarCount % is above the threshold that you input into the '_barCntPercentMin' parameter.
MoonFlag BTC Daily Swing PredictorThis script mainly works on BTC on the daily timeframe. Other coins also show similar usefulness with this script however, BTC on the daily timeframe is the main design for this script.
(Please note this is not trading advice this is just comments about how this indicator works.)
This script is predictive. It colors the background yellow when the script calculates a large BTC swing is potentially about to happen. It does not predict in which direction the swing will occur but it leads the price action so can be useful for leveraged trades. When the background gets colored with vertical yellow lines - this shows that a largish price swing is probably going to occur.
The scripts also shades bands around the price action that are used to estimate an acceptable volatility at any given time. If the bands are wide that means price action is volatile and large swings are not easily predicted. Over time, with reducing volatility, these price action bands narrow and then at a set point or percentage (%) which can be set in the script settings, the background gets colored yellow. This indicates present price action is not volatile and a large price swing is potentially going to happen in the near future. When price action breaks through the narrowing bands, the background is no longer presented because this is seen as an increase in volatility and a considerable portion of the time, a large sudden drop in price action or momentous gain in price is realized.
This indicator leads price action. It predicts that a swing is possibly going to happen in the near future. As the indicator works on the BTC daily, this means on a day-to-day basis if the bands continually narrow - a breakout is more likely to happen. In order to see how well this indicator works, have a look at the results on the screenshot provided. Note the regions where vertical yellow lines are present on the price action - and then look after these to see if a sizeable swing in price has occurred.
To use this indicator - wait until yellow vertical lines are presented on the BTC daily. Then use your experience to determine which way the price action might swing and consider entering a trade or leveraged trade in this direction. Alternatively wait a while to see in which direction the break-out occurs and considering and attempt to trade with this. Sometimes swings can be unexpected and breakout in one direction before then swinging much larger in the other. Its important to remember/consider that this indicator works on the BTC daily timeframe, so any consideration of entering a trade should be expected to cover a duration over many days or weeks, or possibly months. A large swing is only estimated every several plus months.
Most indicators are based on moving averages. A moving average is not predictive in the sense in that it lags price actions. This indicator creates bands that are based on the momentum of the price action. A change in momentum of price action therefore causes the bands to widen. When the bands narrow this means that the momentum of the price action is steady and price action volatility has converged/reduced over time. With BTC this generally means that a large swing in price action is going to occur as momentum in price action then pick-up again in one direction or another. Trying to view this using moving averages is not easy as a moving average lags price action which means that it is difficult to predict any sudden movements in price action ahead of when they might occur. Although, moving averages will converge over time in a similar manner as the bands calculated by this script. This script however, uses the price action momentum in a predictive manner to estimate where the price action might go based on present price momentum. This script therefore reacts to reduced volatility in price action much faster than a set of moving averages over various timescales can achieve.
MoonFlag
Dividend Calendar (Zeiierman)█ Overview
The Dividend Calendar is a financial tool designed for investors and analysts in the stock market. Its primary function is to provide a schedule of expected dividend payouts from various companies.
Dividends, which are portions of a company's earnings distributed to shareholders, represent a return on their investment. This calendar is particularly crucial for investors who prioritize dividend income, as it enables them to plan and manage their investment strategies with greater effectiveness. By offering a comprehensive overview of when dividends are due, the Dividend Calendar aids in informed decision-making, allowing investors to time their purchases and sales of stocks to optimize their dividend income. Additionally, it can be a valuable tool for forecasting cash flow and assessing the financial health and dividend-paying consistency of different companies.
█ How to Use
Dividend Yield Analysis:
By tracking dividend growth and payouts, traders can identify stocks with attractive dividend yields. This is particularly useful for income-focused investors who prioritize steady cash flow from their investments.
Income Planning:
For those relying on dividends as a source of income, the calendar helps in forecasting income.
Trend Identification:
Analyzing the growth rates of dividends helps in identifying long-term trends in a company's financial health. Consistently increasing dividends can be a sign of a company's strong financial position, while decreasing dividends might signal potential issues.
Portfolio Diversification:
The tool can assist in diversifying a portfolio by identifying a range of dividend-paying stocks across different sectors. This can help mitigate risk as different sectors may react differently to market conditions.
Timing Investments:
For those who follow a dividend capture strategy, this indicator can be invaluable. It can help in timing the buying and selling of stocks around their ex-dividend dates to maximize dividend income.
█ How it Works
This script is a comprehensive tool for tracking and analyzing stock dividend data. It calculates growth rates, monthly and yearly totals, and allows for custom date handling. Structured to be visually informative, it provides tables and alerts for the easy monitoring of dividend-paying stocks.
Data Retrieval and Estimation: It fetches dividend payout times and amounts for a list of stocks. The script also estimates future values based on historical data.
Growth Analysis: It calculates the average growth rate of dividend payments for each stock, providing insights into dividend consistency and growth over time.
Summation and Aggregation: The script sums up dividends on a monthly and yearly basis, allowing for a clear view of total payouts.
Customization and Alerts: Users can input custom months for dividend tracking. The script also generates alerts for upcoming or current dividend payouts.
Visualization: It produces various tables and visual representations, including full calendar views and income tables, to display the dividend data in an easily understandable format.
█ Settings
Overview:
Currency:
Description: This setting allows the user to specify the currency in which dividend values are displayed. By default, it's set to USD, but users can change it to their local currency.
Impact: Changing this value alters the currency denomination for all dividend values displayed by the script.
Ex-Date or Pay-Date:
Description: Users can select whether to show the Ex-dividend day or the Actual Payout day.
Impact: This changes the reference date for dividend data, affecting the timing of when dividends are shown as due or paid.
Estimate Forward:
Description: Enables traders to predict future dividends based on historical data.
Impact: When enabled, the script estimates future dividend payments, providing a forward-looking view of potential income.
Dividend Table Design:
Description: Choose between viewing the full dividend calendar, just the cumulative monthly dividend, or a summary view.
Impact: This alters the format and extent of the dividend data displayed, catering to different levels of detail a user might require.
Show Dividend Growth:
Description: Users can enable dividend growth tracking over a specified number of years.
Impact: When enabled, the script displays the growth rate of dividends over the selected number of years, providing insight into dividend trends.
Customize Stocks & User Inputs:
This setting allows users to customize the stocks they track, the number of shares they hold, the dividend payout amount, and the payout months.
Impact: Users can tailor the script to their specific portfolio, making the dividend data more relevant and personalized to their investments.
-----------------
Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
signal_datagramThe purpose of this library is to split and merge an integer into useful pieces of information that can easily handled and plotted.
The basic piece of information is one word. Depending on the underlying numerical system a word can be a bit, octal, digit, nibble, or byte.
The user can define channels. Channels are named groups of words. Multiple words can be combined to increase the value range of a channel.
A datagram is a description of the user-defined channels in an also user-defined numeric system that also contains all runtime information that is necessary to split and merge the integer.
This library simplifies the communication between two scripts by allowing the user to define the same datagram in both scripts.
On the sender's side, the channel values can be merged into one single integer value called signal. This signal can be 'emitted' using the plot function. The other script can use the 'input.source' function to receive that signal.
On the receiver's end based on the same datagram, the signal can be split into several channels. Each channel has the piece of information that the sender script put.
In the example of this library, we use two channels and we have split the integer in half. However, the user can add new channels, change them, and give meaning to them according to the functionality he wants to implement and the type of information he wants to communicate.
Nowadays many 'input.source' calls are allowed to pass information between the scripts, When that is not a price or a floating value, this library is very useful.
The reason is that most of the time, the convention that is used is not clear enough and it is easy to do things the wrong way or break them later on.
With this library validation checks are done during the initialization minimizing the possibility of error due to some misconceptions.
Library "signal_datagram"
Conversion of a datagram type to a signal that can be "send" as a single value from an indicator to a strategy script
method init(this, positions, maxWords)
init - Initialize if the word positons array with an empty array
Namespace types: WordPosArray
Parameters:
this (WordPosArray) : - The word positions array object
positions (int ) : - The array that contains all the positions of the worlds that shape the channel
maxWords (int) : - The maximum words allowed based on the span
Returns: The initialized object
method init(this)
init - Initialize if the channels word positons map with an empty map
Namespace types: ChannelDesc
Parameters:
this (ChannelDesc) : - The channels' descriptor object
Returns: The initialized object
method init(this, numericSystem, channelDesc)
init - Initialize if the datagram
Namespace types: Datagram
Parameters:
this (Datagram) : - The datagram object
numericSystem (simple string) : - The numeric system of the words to be used
channelDesc (ChannelDesc) : - The channels descriptor that contains the positions of the words that each channel consists of
Returns: The initialized object
method add_channel(this, name, positions)
add_channel - Add a new channel descriptopn with its name and its corresponding word positons to the map
Namespace types: ChannelDesc
Parameters:
this (ChannelDesc) : - The channels' descriptor object to update
name (simple string)
positions (int )
Returns: The initialized object
method set_signal(this, value)
set_signal - Set the signal value
Namespace types: Datagram
Parameters:
this (Datagram) : - The datagram object to update
value (int) : - The signal value to set
method get_signal(this)
get_signal - Get the signal value
Namespace types: Datagram
Parameters:
this (Datagram) : - The datagram object to query
Returns: The value of the signal in digits
method set_signal_sign(this, sign)
set_signal_sign - Set the signal sign
Namespace types: Datagram
Parameters:
this (Datagram) : - The datagram object to update
sign (int) : - The negative -1 or positive 1 sign of the underlying value
method get_signal_sign(this)
get_signal_sign - Get the signal sign
Namespace types: Datagram
Parameters:
this (Datagram) : - The datagram object to query
Returns: The sign of the signal value -1 if it is negative and 1 if it is possitive
method get_channel_names(this)
get_channel_names - Get an array of all channel names
Namespace types: Datagram
Parameters:
this (Datagram)
Returns: An array that has all the channel names that are used by the datagram
method set_channel_value(this, channelName, value)
set_channel_value - Set the value of the channel
Namespace types: Datagram
Parameters:
this (Datagram) : - The datagram object to update
channelName (simple string) : - The name of the channel to set the value to. Then name should be as described int the schemas channel descriptor
value (int) : - The channel value to set
method set_all_channels_value(this, value)
set_all_channels_value - Set the value of all the channels
Namespace types: Datagram
Parameters:
this (Datagram) : - The datagram object to update
value (int) : - The channel value to set
method set_all_channels_max_value(this)
set_all_channels_value - Set the value of all the channels
Namespace types: Datagram
Parameters:
this (Datagram) : - The datagram object to update
method get_channel_value(this, channelName)
get_channel_value - Get the value of the channel
Namespace types: Datagram
Parameters:
this (Datagram) : - The datagram object to query
channelName (simple string)
Returns: Digit group of words (bits/octals/digits/nibbles/hexes/bytes) found at the channel accodring to the schema
WordDesc
Fields:
numericSystem (series__string)
span (series__integer)
WordPosArray
Fields:
positions (array__integer)
ChannelDesc
Fields:
map (map__series__string:|WordPosArray|#OBJ)
Schema
Fields:
wordDesc (|WordDesc|#OBJ)
channelDesc (|ChannelDesc|#OBJ)
Signal
Fields:
value (series__integer)
isNegative (series__bool)
words (array__integer)
Datagram
Fields:
schema (|Schema|#OBJ)
signal (|Signal|#OBJ)
ZigZag█ OVERVIEW
This library is a Pine Script™ programmer’s tool containing custom user-defined types and functions to calculate Zig Zag indicators within their scripts. It is not a stand-alone indicator.
Pine Script™ libraries are publications that contain reusable code for importing into Pine Script™ indicators, strategies, and other libraries. For more information on libraries and incorporating them into your scripts, see the Libraries section of the Pine Script™ User Manual .
█ CONCEPTS
Zig Zag
Zig Zag is a popular indicator that filters out minor price fluctuations to denoise data and emphasize trends. Traders commonly use Zig Zag for trend confirmation, identifying potential support and resistance, and pattern detection. It is formed by identifying significant local high and low points in alternating order and connecting them with straight lines, omitting all other data points from their output. There are several ways to calculate the Zig Zag's data points and the conditions by which its direction changes. This script uses pivots as the data points, which are the highest or lowest values over a defined number of bars before and after them. The direction only reverses when a newly formed pivot deviates from the last Zig Zag point in the opposite direction by an amount greater than or equal to a specified percentage.
To learn more about Zig Zag and how to calculate it, see this entry from the Help Center.
█ FOR Pine Script™ CODERS
Notes
This script's architecture utilizes user-defined types (UDTs) to create custom objects which are the equivalent of variables containing multiple parts, each able to hold independent values of different types . UDTs are the newest addition to Pine Script™ and the most advanced feature the language has seen to date. The feature's introduction creates a new runway for experienced coders to push the boundaries of Pine. We recommend that newcomers to the language explore the basics first before diving into UDTs and objects.
Demonstration Code
Our example code shows a simple use case by displaying a Zig Zag with user-defined settings. A new ZigZag object is instantiated on the first bar using a Settings object to control its attributes. The fields for the Settings object are declared using variables assigned to input.* functions, allowing control of the field values from the script's settings. The `update()` function is invoked on each bar to update the ZigZag object's fields and create new lines and labels when required.
Look first. Then leap.
█ TYPES
This library contains the following types:
Settings
Provides calculation and display attributes to ZigZag objects.
Fields:
devThreshold : The minimum percentage deviation from a point before the ZigZag will change direction.
depth : The number of bars required for pivot detection.
lineColor : Line color.
extendLast : Condition allowing a line to connect the most recent pivot with the current close.
displayReversalPrice : Condition to display the pivot price in the pivot label.
displayCumulativeVolume : Condition to display the cumulative volume for the pivot segment in the pivot label.
displayReversalPriceChange : Condition to display the change in price or percent from the previous pivot in the pivot label.
differencePriceMode : Reversal change display mode. Options are "Absolute" or "Percent".
draw : Condition to display lines and labels.
Point
A coordinate containing time and price information.
Fields:
tm : A value in UNIX time.
price : A value on the Y axis (price).
Pivot
A level of significance used to determine directional movement or potential support and resistance.
Fields:
ln : A line object connecting the `start` and `end` Point objects.
lb : A label object to display pivot values.
isHigh : A condition to determine if the pivot is a pivot high.
vol : Volume for the pivot segment.
start : The coordinate of the previous Point.
end : The coordinate of the current Point.
ZigZag
An object to maintain Zig Zag settings, pivots, and volume.
Fields:
settings : Settings object to provide calculation and display attributes.
pivots : An array of Pivot objects.
sumVol : The volume sum for the pivot segment.
extend : Pivot object used to project a line from the last pivot to the last bar.
█ FUNCTIONS
This library contains the following functions:
lastPivot(this)
Returns the last Pivot of `this` ZigZag if there is at least one Pivot to return, and `na` otherwise.
Parameters:
this : (series ZigZag) A ZigZag object.
Returns: (Pivot) The last Pivot in the ZigZag.
update(this)
Updates `this` ZigZag object with new pivots, volume, lines, labels.
Parameters:
this : (series ZigZag) a ZigZag object.
Returns: (bool) true if a new Zig Zag line is found or the last Zig Zag line has changed.
newInstance(settings)
Instantiates a new ZigZag object with `settings`. If no settings are provided, a default ZigZag object is created.
Parameters:
settings : (series Settings) A Settings object.
Returns: (ZigZag) A new ZigZag instance.
Intrabar Efficiency Ratio█ OVERVIEW
This indicator displays a directional variant of Perry Kaufman's Efficiency Ratio, designed to gauge the "efficiency" of intrabar price movement by comparing the sum of movements of the lower timeframe bars composing a chart bar with the respective bar's movement on an average basis.
█ CONCEPTS
Efficiency Ratio (ER)
Efficiency Ratio was first introduced by Perry Kaufman in his 1995 book, titled "Smarter Trading". It is the ratio of absolute price change to the sum of absolute changes on each bar over a period. This tells us how strong the period's trend is relative to the underlying noise. Simply put, it's a measure of price movement efficiency. This ratio is the modulator utilized in Kaufman's Adaptive Moving Average (KAMA), which is essentially an Exponential Moving Average (EMA) that adapts its responsiveness to movement efficiency.
ER's output is bounded between 0 and 1. A value of 0 indicates that the starting price equals the ending price for the period, which suggests that price movement was maximally inefficient. A value of 1 indicates that price had travelled no more than the distance between the starting price and the ending price for the period, which suggests that price movement was maximally efficient. A value between 0 and 1 indicates that price had travelled a distance greater than the distance between the starting price and the ending price for the period. In other words, some degree of noise was present which resulted in reduced efficiency over the period.
As an example, let's say that the price of an asset had moved from $15 to $14 by the end of a period, but the sum of absolute changes for each bar of data was $4. ER would be calculated like so:
ER = abs(14 - 15)/4 = 0.25
This suggests that the trend was only 25% efficient over the period, as the total distanced travelled by price was four times what was required to achieve the change over the period.
Intrabars
Intrabars are chart bars at a lower timeframe than the chart's. Each 1H chart bar of a 24x7 market will, for example, usually contain 60 intrabars at the LTF of 1min, provided there was market activity during each minute of the hour. Mining information from intrabars can be useful in that it offers traders visibility on the activity inside a chart bar.
Lower timeframes (LTFs)
A lower timeframe is a timeframe that is smaller than the chart's timeframe. This script determines which LTF to use by examining the chart's timeframe. The LTF determines how many intrabars are examined for each chart bar; the lower the timeframe, the more intrabars are analyzed, but fewer chart bars can display indicator information because there is a limit to the total number of intrabars that can be analyzed.
Intrabar precision
The precision of calculations increases with the number of intrabars analyzed for each chart bar. As there is a 100K limit to the number of intrabars that can be analyzed by a script, a trade-off occurs between the number of intrabars analyzed per chart bar and the chart bars for which calculations are possible.
Intrabar Efficiency Ratio (IER)
Intrabar Efficiency Ratio applies the concept of ER on an intrabar level. Rather than comparing the overall change to the sum of bar changes for the current chart's timeframe over a period, IER compares single bar changes for the current chart's timeframe to the sum of absolute intrabar changes, then applies smoothing to the result. This gives an indication of how efficient changes are on the current chart's timeframe for each bar of data relative to LTF bar changes on an average basis. Unlike the standard ER calculation, we've opted to preserve directional information by not taking the absolute value of overall change, thus allowing it to be utilized as a momentum oscillator. However, by taking the absolute value of this oscillator, it could potentially serve as a replacement for ER in the design of adaptive moving averages.
Since this indicator preserves directional information, IER can be regarded as similar to the Chande Momentum Oscillator (CMO) , which was presented in 1994 by Tushar Chande in "The New Technical Trader". Both CMO and ER essentially measure the same relationship between trend and noise. CMO simply differs in scale, and considers the direction of overall changes.
█ FEATURES
Display
Three different display types are included within the script:
• Line : Displays the middle length MA of the IER as a line .
Color for this display can be customized via the "Line" portion of the "Visuals" section in the script settings.
• Candles : Displays the non-smooth IER and two moving averages of different lengths as candles .
The `open` and `close` of the candle are the longest and shortest length MAs of the IER respectively.
The `high` and `low` of the candle are the max and min of the IER, longest length MA of the IER, and shortest length MA of the IER respectively.
Colors for this display can be customized via the "Candles" portion of the "Visuals" section in the script settings.
• Circles : Displays three MAs of the IER as circles .
The color of each plot depends on the percent rank of the respective MA over the previous 100 bars.
Different colors are triggered when ranks are below 10%, between 10% and 50%, between 50% and 90%, and above 90%.
Colors for this display can be customized via the "Circles" portion of the "Visuals" section in the script settings.
With either display type, an optional information box can be displayed. This box shows the LTF that the script is using, the average number of lower timeframe bars per chart bar, and the number of chart bars that contain LTF data.
Specifying intrabar precision
Ten options are included in the script to control the number of intrabars used per chart bar for calculations. The greater the number of intrabars per chart bar, the fewer chart bars can be analyzed.
The first five options allow users to specify the approximate amount of chart bars to be covered:
• Least Precise (Most chart bars) : Covers all chart bars by dividing the current timeframe by four.
This ensures the highest level of intrabar precision while achieving complete coverage for the dataset.
• Less Precise (Some chart bars) & More Precise (Less chart bars) : These options calculate a stepped LTF in relation to the current chart's timeframe.
• Very precise (2min intrabars) : Uses the second highest quantity of intrabars possible with the 2min LTF.
• Most precise (1min intrabars) : Uses the maximum quantity of intrabars possible with the 1min LTF.
The stepped lower timeframe for "Less Precise" and "More Precise" options is calculated from the current chart's timeframe as follows:
Chart Timeframe Lower Timeframe
Less Precise More Precise
< 1hr 1min 1min
< 1D 15min 1min
< 1W 2hr 30min
> 1W 1D 60min
The last five options allow users to specify an approximate fixed number of intrabars to analyze per chart bar. The available choices are 12, 24, 50, 100, and 250. The script will calculate the LTF which most closely approximates the specified number of intrabars per chart bar. Keep in mind that due to factors such as the length of a ticker's sessions and rounding of the LTF, it is not always possible to produce the exact number specified. However, the script will do its best to get as close to the value as possible.
Specifying MA type
Seven MA types are included in the script for different averaging effects:
• Simple
• Exponential
• Wilder (RMA)
• Weighted
• Volume-Weighted
• Arnaud Legoux with `offset` and `sigma` set to 0.85 and 6 respectively.
• Hull
Weighting
This script includes the option to weight IER values based on the percent rank of absolute price changes on the current chart's timeframe over a specified period, which can be enabled by checking the "Weigh using relative close changes" option in the script settings. This places reduced emphasis on IER values from smaller changes, which may help to reduce noise in the output.
█ FOR Pine Script™ CODERS
• This script imports the recently published lower_ltf library for calculating intrabar statistics and the optimal lower timeframe in relation to the current chart's timeframe.
• This script uses the recently released request.security_lower_tf() Pine Script™ function discussed in this blog post .
It works differently from the usual request.security() in that it can only be used on LTFs, and it returns an array containing one value per intrabar.
This makes it much easier for programmers to access intrabar information.
• This script implements a new recommended best practice for tables which works faster and reduces memory consumption.
Using this new method, tables are declared only once with var , as usual. Then, on the first bar only, we use table.cell() to populate the table.
Finally, table.set_*() functions are used to update attributes of table cells on the last bar of the dataset.
This greatly reduces the resources required to render tables.
Look first. Then leap.
PriceCatch BOSS IOHi TradingView Community.
I am publishing a script that uses a proprietary logic based on Fibonacci retracement for identifying breakouts. This is a script that focuses on long side trades only.
PriceCatch BOSS IO: - PriceCatch Breakout Screener Script (Invite Only).
This script is not an indicator that plots anything on the chart but is a Screener.
SLIPPED OPPORTUNITIES
One of the problems faced by traders is that while they are watching or studying the chart of one stock or Forex pair, a super opportunity slips by them in another stock or another instrument and it is frustrating when that happens. With the PriceCatch BOSS IO script, you can now capture such moves made by other symbols whilst you are watching some other instrument.
USP:
The uniqueness of this script is that you can screen Nine of your favorite symbols for breakout opportunities simultaneously.
Users can pick Nine symbols of their choice and specify a resolution in the Settings dialog screen that the script will use to find out any probable breakouts in those selected nine symbols continuously.
The symbols could be from any exchange across the world and of any type - stocks, futures, commodities, Forex and Crypto. Simply put, if you can plot the symbol in TradingView, PriceCatch BOSS can monitor that instrument for breakouts on the time interval chosen by you.
ACTIONABLE INFORMATION:
What traders look for and expect from their charts is actionable information. This script does that. It clearly tells you the Entry Price and Stop Loss price for each symbol when a breakout opportunity presents itself in that symbol. You can then open up the chart of that specific symbol to validate the given information with any other indicators that you use and then take the call with regards to a trade. You may also use this script alone without adding any other indicator to your chart. The choice is yours.
CLARITY BEFORE TRADE:
As both Entry Price and Stop Loss Price are identified by the script, you receive advance information about the risk and can set your own Reward based on your personal preferences. So, with the necessary information provided to you in advance, you can plan your trades with clarity.
HOW IT WORKS:
Once the list of symbols are selected and resolution chosen, the script then continuously monitors those given symbols for breakout opportunities. At the close of every interval, it presents the results as shown below:
Results Set
This script shows the results of the screening in a Table as under:
SYMBOL Entry Price Stop Price
TSLA 830.84 802.88
EURUSD 1.13425 1.13160
Similarly for seven more instruments chosen by you.
NOTE: 0.00 under Entry and Stop price columns mean that there is no opportunity in that symbol.
ADVANTAGE:
The advantage of this script is that it helps you spot trades in your favorite symbols without manually loading their charts. With the ability to screen the symbols from Intraday time frames to higher time frames such as Weekly, you will be able to spot opportunities to go long in intraday, swing and even positional trades of longer duration.
Another significant advantage of this script is that while you may be watching a symbol in, say 15 minutes time frame, you can set the script to monitor breakouts in any other higher time frame starting from 15 minutes. This, in effect, gives you unsurpassed advantage.
DISCIPLINE:
As you choose your nine instruments/assets, the script indirectly inculcates discipline as your attention will be only on the selected instruments and you will not be distracted or search for opportunities in a whole bunch of other symbols / assets / instruments. As you can at any time change the set of nine assets as per your personal preference, you get the flexibility that you seek to work with a different set of symbols. For Forex traders who like to monitor only Major Pairs the ability to scan Nine pairs is quite sufficient. Similarly, to traders who trade S&P500, ES1! and other instruments, the nine symbols flexibility is adequate.
LONG POSITION TOOL
For visual cues, you may use the Long Position tool to set the Entry, Stop and Targets as per your preference on the main chart.
TRICK:
Can I only screen nine instruments? What if I am interested to screen more? Actually, you can screen more instruments. You see, you can add this script on to your chart multiple times and can select a set of nine unique stocks per script instance. That way you can actually screen more than nine stocks!
EXAMPLES:
Nifty 50
TSLA
Maruti
USDJPY
MSFT
UI
The script allows you to fine tune display options as per your personal preferences.
NOTE: This script runs in a separate pane without obstructing the view of your main chart.
NOTE: The formatting of price is based on mintick. As a result, since Forex and Crypto have more number of digits after the Decimal, if your screener list consists of a mix of stocks, Forex and Crypto - please change to a Forex chart to get the correct Forex price and to Crypto for correct Crypto price and so on.
NOTE: You will not get accurate results if you are in a higher time frame chart and the Screener resolution is set to lower time frame. For example, if chart is in 15 MTF and Screener resolution is set to 3 MTF, the results may not be accurate.
TIP: If you have added this script multiple times to your chart, then you may have to maximize the pane to view the results table.
NOTE - PRIOR TO USING THIS SCRIPT:
Please remember that the script is shared with absolutely no assurances about usability and any warranties whatsoever and as a responsible trader, please satisfy yourselves thoroughly and use it only if you are convinced it works for you. Remember, you are 100% responsible for your actions and must, therefore, do your due diligence before using this script and also before every trade. Profits and losses are part and parcel of trading activity and you are solely responsible for both. If you understand and accept that, you may use the script.
QUERIES/FEEDBACK
Please PM me.
Hope you find this script useful. Wish everyone all the best with trading.
3Commas DCA Bot Indicator v1.0Introduction
The indicator attempts to implement a majority all of the settings found on the 3Commas DCA Bot setting page that can be implemented within a TradingView indicator. Specifically, it will implement the "Open new trade ASAP" and "Trading View Custom Signal" deal start conditions. In this way, you can leverage the power of TradingView's backtester to model your settings and analysis past performance as well as leverage TradingView's alert notification subsystem to send Deal Start and Close signals to 3Commas using almost any of the thousands of scripts found in the Public Library (see "What does it do and how does it do it?" section below for more information on how to do this using the RSI indicator as an example).
How is it original and useful?
This indicator is unique in that it's the only one (as of the initial publications) that can handle 28 out of 32 bot settings (88% coverage) that are found on the 3Commas bot settings page. In addition, because it is a TradingView script, you will benefit from the following:
Model your bot's configuration using the backtester on any timeframe and evaluate its performance using the chart's history.
View a table of detailed statistics pertaining to deals started and completed, win/loss rates, daily P&L, true max drawdown, and detailed statistics on bars in deal along with safety orders filled.
View a table of "Used amount for each step" as presented in 3Commas as well.
Ability to link to almost any TradingView chart indicator that provides a single data point for buy/sell signals.
Make use of the 3Commas TA Start Conditions indicator to emulate the 3Commas built-in indicators for further performance evaluation with the backtester.
How does it compare to other scripts in the Public Library?
This indicator offers a very detailed, comprehensive settings and maybe the only one (as of the initial publication) that can handle 28 out of the 32 bot settings that are found on the 3Commas bot settings page (that can be handled within TradingView, because some cannot be modeled due to chart and language constraints). Specifically, the following 3Commas bot settings and inputs are addressed with asterisks denoting specific limitation due to TradingView's platform architecture and/or constraints:
Main settings
✅ Name
❌ Exchange* (Not handled since it is inherited from chart)
⚠ Bot type* (Only Single-pair because you simply apply the indicator to as many pairs you desire in separate charts to simulate a Multi-pair setting)
Pairs
❌ Pairs* (Not handled since it is inheriting the symbol from the chart)
Strategy
✅ Strategy
❌ Profit currency* (Not handled since there is no equivalence in TradingView)
✅ Base order size / unit
✅ Safety order size / unit
✅ Start order type
Deal start condition
⚠ TradingView* (You can modify the "Technical Rating" indicator by TradingView to output a signal yourself like @TheTradingParrot has done in the TV signal for DCA backtest script)
⚠ QFL* (See Quickfingers Luc's Base Breaking Strategy v2.5 - 3Commas Edition for an alternative)
❌ Manually/API* (Not handled since there is no equivalence in TradingView)
✅ Trading View custom signal
✅ Open new trade asap
Take profit
✅ Take profit (%)
✅ Take profit type
✅ Trailing
⚠ Trailing deviation* (modified to handle TradingView's broker emulator properly)
Stop loss
✅ Stop Loss (%)
✅ Stop Loss action
⚠ Stop Loss timeout* (modified to use "bars" as the unit of measure)
Safety orders
✅ Max safety trades count (a total of 100 safety orders are supported!)
⚠ Max active safety trades count* (Not handled since there is no equivalence in TradingView)
✅ Price deviation to open safety orders (% from initial order)
✅ Safety order volume scale
✅ Safety order step scale
Advanced settings
✅ Don't start deal(s) if the daily volume is less than
✅ Minimum price to open deal
✅ Maximum price to open deal
⚠ Deal start delay (QFL and standard TV signals only)* (modified to use "bars" as the unit of measure)
✅ Cooldown between deals
✅ Open deals & stop
Close deal after timeout
⚠ The time after which, deal will be closed automatically* (modified to use "bars" as the unit of measure)
In addition to the above inputs, the script will also support the same output data points that are found on the bot settings page, which are:
Assistant
✅ Balance
✅ Max amount for bot usage (Based on current rate)
✅ Max safety order price deviation
✅ % of available balance to be used by the bot
Table (Used amount for each step)
✅ Order No.
✅ Deviation %
✅ Order Size (Base currency)
✅ Order Volume (Quote currency)
✅ Price
✅ Average price
✅ Required price
✅ Required change
✅ Total Size (Base currency)
✅ Total Volume (Quote currency)
What does it do and how does it do it?
When applied to the chart for the first time, the default settings will work to execute the "Open new trade asap" deal start condition using a take profit of 4%, a base order size of 1.335% of equity (initial capital + net profit), a safety order size of 2.003% of equity (initial capital + net profit), a safety order volume scale of 1.5, a safety order step scale of 1.21, and a max safety trades count of 8. With these settings, as you scroll through the chart's history you should see price action crossing the DCA layers (denoted with blue triangles), and a green take-profit price line will render (with green triangle denoting the crossings). Lastly, in the upper-right corner of the chart the table of DCA statistics will render showing you all the gathered data that took place since the chart's starting history until the current time.
Using the "TV Custom Signal" section will allow you to "link" other chart indicators to supply "Start" and "Close" signals for the script. For example, here's how you can use the standard RSI indicator to generate an entry signal:
1) Add the stock RSI indicator and configure it to your desire.
2) Select the "RSI" indicator in the "Chart/Indicator Data Point" input.
3) Select "Chart/Indicator Data Point" in the "Start Deal When" input.
4) Select "Less Than" in the "Is" input.
5) Select "Custom Value(s)" in the "The Value Of" input.
6) Enter "25" in the "Custom Value 1 (Single or Lower Bound)" input.
7) Select "Trading View Custom Signal" in the "Open new trade" input (in the DEAL START CONDITION section).
8) Lastly, check the checkbox with a horizontal straight line above the "Start Deal When" input.
This means that the indicator will start a deal when the "RSI indicator" is "Less Than" the value of "25".
Strategy Results
The default settings are designed to ensure that the indicator will render chart elements when first loaded as well as to allow the backtester to gather order executions and display performance summary. The chart above is is using $10,000 initial capital, a commission rate of 0.1% for both entries and exits, and a 1 tick slippage setting. It is also using 3.22581% of the equity for the Base Order Size, 6.45161% of equity for the first Safety Order Size. The Maximum Safety Trade Count is 4 with a Safety Order Volume Scale of 2, a Safety Order Step Scale of 1.53, Price Deviation To Option Safety Orders at 5.3, and a take profit of 4.5% with Trailing turned on at a deviation of 1.5%. All other settings are defaults.
It is recommended that the indicator be "tuned" for your specific market in order to best implement the strategy and obtain better desirable results. You do so by using the backtester and statistics table and observe the output values and learn how the indicator is performing in the chart history. Using this information, you can adjust the settings accordingly until you find the settings acceptable to your trading goals and risk tolerance.
Always keep in mind that past performance may not be indicative of future results. Settings that seem favorable for one market may be found to be disastrous in another. Therefore, do take the time needed to understand how the settings will behave with the given chart symbol.
Enjoy! 😊👍
How to obtain access to the script?
You have two choices:
Use the "Website" link below to obtain access to this indicator, or
Send us a private message (PM) in TradingView itself.
3Commas DCA Bot Strategy v1.0Introduction
The strategy attempts to implement a majority all of the settings found on the 3Commas DCA Bot setting page that can be implemented within a TradingView indicator. Specifically, it will implement the "Open new trade ASAP" and "Trading View Custom Signal" deal start conditions. In this way, you can leverage the power of TradingView's backtester to model your settings and analysis past performance as well as leverage TradingView's alert notification subsystem to send Deal Start and Close signals to 3Commas using almost any of the thousands of scripts found in the Public Library (see "What does it do and how does it do it?" section below for more information on how to do this using the RSI indicator as an example).
How is it original and useful?
This strategy is unique in that it's the only one (as of the initial publications) that can handle 28 out of 32 bot settings (88% coverage) that are found on the 3Commas bot settings page. In addition, because it is a TradingView script, you will benefit from the following:
Model your bot's configuration using the backtester on any timeframe and evaluate its performance using the chart's history.
View a table of detailed statistics pertaining to deals started and completed, win/loss rates, daily P&L, true max drawdown, and detailed statistics on bars in deal along with safety orders filled.
View a table of "Used amount for each step" as presented in 3Commas as well.
Ability to link to almost any TradingView chart indicator that provides a single data point for buy/sell signals.
Make use of the 3Commas TA Start Conditions indicator to emulate the 3Commas built-in indicators for further performance evaluation with the backtester.
How does it compare to other scripts in the Public Library?
This strategy offers a very detailed, comprehensive settings and maybe the only one (as of the initial publication) that can handle 28 out of the 32 bot settings that are found on the 3Commas bot settings page (that can be handled within TradingView, because some cannot be modeled due to chart and language constraints). Specifically, the following 3Commas bot settings and inputs are addressed with asterisks denoting specific limitation due to TradingView's platform architecture and/or constraints:
Main settings
✅ Name
❌ Exchange* (Not handled since it is inherited from chart)
⚠ Bot type* (Only Single-pair because you simply apply the indicator to as many pairs you desire in separate charts to simulate a Multi-pair setting)
Pairs
❌ Pairs* (Not handled since it is inheriting the symbol from the chart)
Strategy
✅ Strategy
❌ Profit currency* (Not handled since there is no equivalence in TradingView)
✅ Base order size / unit
✅ Safety order size / unit
✅ Start order type
Deal start condition
⚠ TradingView* (You can modify the "Technical Rating" indicator by TradingView to output a signal yourself like @TheTradingParrot has done in the TV signal for DCA backtest script)
⚠ QFL* (See Quickfingers Luc's Base Breaking Strategy v2.5 - 3Commas Edition for an alternative)
❌ Manually/API* (Not handled since there is no equivalence in TradingView)
✅ Trading View custom signal
✅ Open new trade asap
Take profit
✅ Take profit (%)
✅ Take profit type
✅ Trailing
⚠ Trailing deviation* (modified to handle TradingView's broker emulator properly)
Stop loss
✅ Stop Loss (%)
✅ Stop Loss action
⚠ Stop Loss timeout* (modified to use "bars" as the unit of measure)
Safety orders
✅ Max safety trades count (a total of 100 safety orders are supported!)
⚠ Max active safety trades count* (Not handled since there is no equivalence in TradingView)
✅ Price deviation to open safety orders (% from initial order)
✅ Safety order volume scale
✅ Safety order step scale
Advanced settings
✅ Don't start deal(s) if the daily volume is less than
✅ Minimum price to open deal
✅ Maximum price to open deal
⚠ Deal start delay (QFL and standard TV signals only)* (modified to use "bars" as the unit of measure)
✅ Cooldown between deals
✅ Open deals & stop
Close deal after timeout
⚠ The time after which, deal will be closed automatically* (modified to use "bars" as the unit of measure)
In addition to the above inputs, the script will also support the same output data points that are found on the bot settings page, which are:
Assistant
✅ Balance
✅ Max amount for bot usage (Based on current rate)
✅ Max safety order price deviation
✅ % of available balance to be used by the bot
Table (Used amount for each step)
✅ Order No.
✅ Deviation %
✅ Order Size (Base currency)
✅ Order Volume (Quote currency)
✅ Price
✅ Average price
✅ Required price
✅ Required change
✅ Total Size (Base currency)
✅ Total Volume (Quote currency)
What does it do and how does it do it?
When applied to the chart for the first time, the default settings will work to execute the "Open new trade asap" deal start condition using a take profit of 4%, a base order size of 1.335% of equity (initial capital + net profit), a safety order size of 2.003% of equity (initial capital + net profit), a safety order volume scale of 1.5, a safety order step scale of 1.21, and a max safety trades count of 8. With these settings, as you scroll through the chart's history you should see price action crossing the DCA layers (denoted with blue triangles), and a green take-profit price line will render (with green triangle denoting the crossings). Lastly, in the upper-right corner of the chart the table of DCA statistics will render showing you all the gathered data that took place since the chart's starting history until the current time.
Using the "TV Custom Signal" section will allow you to "link" other chart indicators to supply "Start" and "Close" signals for the script. For example, here's how you can use the standard RSI indicator to generate an entry signal:
1) Add the stock RSI indicator and configure it to your desire.
2) Select the "RSI" indicator in the "Chart/Indicator Data Point" input.
3) Select "Chart/Indicator Data Point" in the "Start Deal When" input.
4) Select "Less Than" in the "Is" input.
5) Select "Custom Value(s)" in the "The Value Of" input.
6) Enter "25" in the "Custom Value 1 (Single or Lower Bound)" input.
7) Select "Trading View Custom Signal" in the "Open new trade" input (in the DEAL START CONDITION section).
8) Lastly, check the checkbox with a horizontal straight line above the "Start Deal When" input.
This means that the indicator will start a deal when the "RSI indicator" is "Less Than" the value of "25".
Strategy Results
The default settings are designed to ensure that the indicator will render chart elements when first loaded as well as to allow the backtester to gather order executions and display performance summary. The chart above is is using $10,000 initial capital, a commission rate of 0.1% for both entries and exits, and a 1 tick slippage setting. It is also using 3.22581% of the equity for the Base Order Size, 6.45161% of equity for the first Safety Order Size. The Maximum Safety Trade Count is 4 with a Safety Order Volume Scale of 2, a Safety Order Step Scale of 1.53, Price Deviation To Option Safety Orders at 5.3, and a take profit of 4.5% with Trailing turned on at a deviation of 1.5%. All other settings are defaults.
It is recommended that the indicator be "tuned" for your specific market in order to best implement the strategy and obtain better desirable results. You do so by using the backtester and statistics table and observe the output values and learn how the indicator is performing in the chart history. Using this information, you can adjust the settings accordingly until you find the settings acceptable to your trading goals and risk tolerance.
Always keep in mind that past performance may not be indicative of future results. Settings that seem favorable for one market may be found to be disastrous in another. Therefore, do take the time needed to understand how the settings will behave with the given chart symbol.
Enjoy! 😊👍
How to obtain access to the script?
You have two choices:
Use the "Website" link below to obtain access to this indicator, or
Send us a private message (PM) in TradingView itself.
TradeChartist Tracker™𝗧𝗿𝗮𝗱𝗲𝗖𝗵𝗮𝗿𝘁𝗶𝘀𝘁 𝗧𝗿𝗮𝗰𝗸𝗲𝗿 is an essential real-time multi Indicator tracking toolkit that can be plotted as a standalone Indicator plot, a multi symbol tracker/screener for upto 10 different symbols and a visual scorecard for upto 5 different symbols. The indicators included in the tracker are Stochastic Oscillator, RSI, CCI, 15 different Moving Averages, MACD, Bollinger Bands %B (including Bollinger Bands and Breakout Signals), Ichimoku Cloud (including Breakout signals), Donchian Channels Oscillator (including Donchian Channels and Breakout Signals), Net Volume and Heikin Ashi Trend.
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™𝗧𝗿𝗮𝗱𝗲𝗖𝗵𝗮𝗿𝘁𝗶𝘀𝘁 𝗧𝗿𝗮𝗰𝗸𝗲𝗿 𝗨𝘀𝗲𝗿 𝗠𝗮𝗻𝘂𝗮𝗹
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™TradeChartist Tracker Plot Types
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1. Indicator plot of Chart Symbol on its own , chosen from the 𝗜𝗻𝗱𝗶𝗰𝗮𝘁𝗼𝗿 𝗧𝘆𝗽𝗲 dropdown, enabling 𝐃𝐢𝐬𝐩𝐥𝐚𝐲 𝐈𝐧𝐝𝐢𝐜𝐚𝐭𝐨𝐫 𝐏𝐥𝐨𝐭 (𝐝𝐢𝐬𝐚𝐛𝐥𝐞𝐬 𝐓𝐫𝐚𝐜𝐤𝐞𝐫/𝐒𝐜𝐨𝐫𝐞𝐜𝐚𝐫𝐝).
In this example Daily chart of XRP-USDT, 55 period Stochastic is tracked for the chart symbol XRP-USDT.
2. Indicator plot of a Symbol different from the Chart Symbol , chosen from the 𝗜𝗻𝗱𝗶𝗰𝗮𝘁𝗼𝗿 𝗧𝘆𝗽𝗲 dropdown by enabling Tʀᴀᴄᴋ ᴀɴᴏᴛʜᴇʀ Sʏᴍʙᴏʟ's Iɴᴅɪᴄᴀᴛᴏʀ and entering the symbol name in the Sʏᴍʙᴏʟ ᴛᴏ Tʀᴀᴄᴋ input box, whilst keeping 𝐃𝐢𝐬𝐩𝐥𝐚𝐲 𝐈𝐧𝐝𝐢𝐜𝐚𝐭𝐨𝐫 𝐏𝐥𝐨𝐭 (𝐝𝐢𝐬𝐚𝐛𝐥𝐞𝐬 𝐓𝐫𝐚𝐜𝐤𝐞𝐫/𝐒𝐜𝐨𝐫𝐞𝐜𝐚𝐫𝐝) enabled.
In this example Daily chart of XRP-USDT, 55 period Stochastic is tracked for the BTC-USD (different from chart symbol XRP-USDT).
3. Tracker Plot of up to 10 Multiple Symbol Trackers for the Indicator chosen from the 𝗜𝗻𝗱𝗶𝗰𝗮𝘁𝗼𝗿 𝗧𝘆𝗽𝗲 dropdown, by disabling 𝐃𝐢𝐬𝐩𝐥𝐚𝐲 𝐈𝐧𝐝𝐢𝐜𝐚𝐭𝐨𝐫 𝐏𝐥𝐨𝐭 (𝐝𝐢𝐬𝐚𝐛𝐥𝐞𝐬 𝐓𝐫𝐚𝐜𝐤𝐞𝐫/𝐒𝐜𝐨𝐫𝐞𝐜𝐚𝐫𝐝) and by entering the number of trackers required in the 𝐍𝐮𝐦𝐛𝐞𝐫 𝐨𝐟 𝐓𝐫𝐚𝐜𝐤𝐞𝐫𝐬 input box under 𝗧𝗿𝗮𝗰𝗸𝗲𝗿 𝗣𝗹𝗼𝘁𝘀 section. Upto 10 Symbols can be tracked and can be input by the user in the input boxes from Sʏᴍʙᴏʟ 1,...Sʏᴍʙᴏʟ 10 . 𝐃𝐢𝐬𝐩𝐥𝐚𝐲 𝐈𝐧𝐝𝐢𝐜𝐚𝐭𝐨𝐫 𝐏𝐥𝐨𝐭 (𝐝𝐢𝐬𝐚𝐛𝐥𝐞𝐬 𝐓𝐫𝐚𝐜𝐤𝐞𝐫/𝐒𝐜𝐨𝐫𝐞𝐜𝐚𝐫𝐝) must be disabled for this plot type.
In this example Daily chart of Crypto Total Market Cap, Bollinger Bands %B is tracked for the chart symbol + 10 other Crypto symbols using Multi Symbol Trackers
4. Visual Scorecards of up to 5 Symbols for 8 indicators (all except Net Volume and HA Trend) can be plotted with real-time data by enabling 𝗗𝗶𝘀𝗽𝗹𝗮𝘆 𝗩𝗶𝘀𝘂𝗮𝗹 𝗦𝗰𝗼𝗿𝗲𝗰𝗮𝗿𝗱 - (𝟓 𝐓𝐫𝐚𝐜𝐤𝐞𝐫𝐬 𝐋𝐢𝐦𝐢𝐭). 𝐃𝐢𝐬𝐩𝐥𝐚𝐲 𝐈𝐧𝐝𝐢𝐜𝐚𝐭𝐨𝐫 𝐏𝐥𝐨𝐭 (𝐝𝐢𝐬𝐚𝐛𝐥𝐞𝐬 𝐓𝐫𝐚𝐜𝐤𝐞𝐫/𝐒𝐜𝐨𝐫𝐞𝐜𝐚𝐫𝐝) must be disabled for this plot type.
For the same example Daily chart of Crypto Total Market Cap as above, Visual Scorecard is plotted for 5 Symbols as shown.
5. Indicator Tracker labels can be plotted on Price chart by overlaying the Tracker on main chart and by switching from Separate Tracker Pane - Default to Tracker Labels only on Price Scale in the Lᴀʙᴇʟs Dɪsᴘʟᴀʏ Tʏᴘᴇ dropdown box.
In this example chart of 1hr XLM-USDT, Tracker labels of 55 EMA are plotted for 10 different symbols along with the 55 EMA plot of XLM-USDT.
Indicator plot that doesn't fit on price scale can be visualised using a second Tracker added to chart as shown in the ETH-USDT example below tracking Net Volume.
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𝗜𝗻𝗱𝗶𝗰𝗮𝘁𝗼𝗿𝘀 𝗜𝗻𝗰𝗹𝘂𝗱𝗲𝗱 𝗶𝗻 ™𝗧𝗿𝗮𝗱𝗲𝗖𝗵𝗮𝗿𝘁𝗶𝘀𝘁 𝗧𝗿𝗮𝗰𝗸𝗲𝗿
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1. Stochastic Oscillator
2. RSI
3. CCI
4. MA - (15 types included)
5. MACD
6. Bollinger Bands %B + Optional plots of Bollinger Bands and Breakout Signals
7. Ichimoku Cloud Oscillator + Optional plots of Ichimoku Cloud and Breakout Signals
8. Donchian Channels + Optional plots of Donchian Channels and Breakout Signals
9. Net Volume
10. Heikin Ashi Trend
All of the above indicators can be plotted as independent plots of the Chart Symbol or of a different symbol by enabling 𝐃𝐢𝐬𝐩𝐥𝐚𝐲 𝐈𝐧𝐝𝐢𝐜𝐚𝐭𝐨𝐫 𝐏𝐥𝐨𝐭 (𝐝𝐢𝐬𝐚𝐛𝐥𝐞𝐬 𝐓𝐫𝐚𝐜𝐤𝐞𝐫/𝐒𝐜𝐨𝐫𝐞𝐜𝐚𝐫𝐝). Some Oscillators have the option of Pʟᴏᴛ Sᴛʏʟᴇ under their relevant sections, and can be plotted as line, area or a histogram.
Oscillators 1-8 (except 4) require source price, lookback length and smoothing (where available) for the indicator plot. The colour of the tracker blocks is based on the Upper/Lower bands (where available), specified by the user in the respective sections. For example, if the RSI indicator is chosen to be plotted with Upper band at 60 and Lower band at 40, the tracker blocks and the Indicator plot paint the values between 40 and 60 in neutral colour which can be changed from the settings.
Multi Window BTC-USDT 1hr example chart below with various indicators from ™TradeChartist Tracker.
Note: The tracker colour is exactly colour of the Indicator Plot. The Visual Scorecard , however uses the mid values and doesn't take into account the bands specified by the user. For example, RSI score is green on the Visual Scorecard as long as RSI is above 50 and doesn't get affected by the user specified upper/lower band and this applies to all Oscillators. This is shown in the 1hr BTC-USDT chart below.
Moving Averages (MA) and MACD
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Tracker plots and tracks one of 15 Moving Averages that can be chosen from the MA ᴛʏᴘᴇ and by specifying the MA Lᴇɴɢᴛʜ .
MACD uses EMA as default for calculating the MACD plots and Tracker data using Fᴀsᴛ Lᴇɴɢᴛʜ , Sʟᴏᴡ Lᴇɴɢᴛʜ and Sᴍᴏᴏᴛʜɪɴɢ . To experiment or use a different Moving Average to calculate MACD, disable 𝐔𝐬𝐞 𝐄𝐌𝐀 (Uɴᴄʜᴇᴄᴋ ᴛᴏ ᴜsᴇ MA ғʀᴏᴍ ᴀʙᴏᴠᴇ) and select the required Moving Average from MA ᴛʏᴘᴇ drop down of the 𝟰. 𝗠𝗼𝘃𝗶𝗻𝗴 𝗔𝘃𝗲𝗿𝗮𝗴𝗲 section.
Bollinger Bands %B + Optional plots of Bollinger Bands and Breakout Signals
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Bollinger Bands %B is a companion oscillator for Bollinger Bands and helps depict where the price is, in relation to the Bollinger Bands. To plot the actual Bollinger Bands, enable Dɪsᴘʟᴀʏ Bᴏʟʟɪɴɢᴇʀ Bᴀɴᴅs and to plot the Bollinger Bands Breakout Signals, enable Sʜᴏᴡ BB Bʀᴇᴀᴋᴏᴜᴛ Sɪɢɴᴀʟs , with 𝐃𝐢𝐬𝐩𝐥𝐚𝐲 𝐈𝐧𝐝𝐢𝐜𝐚𝐭𝐨𝐫 𝐏𝐥𝐨𝐭 (𝐝𝐢𝐬𝐚𝐛𝐥𝐞𝐬 𝐓𝐫𝐚𝐜𝐤𝐞𝐫/𝐒𝐜𝐨𝐫𝐞𝐜𝐚𝐫𝐝) enabled.
Ichimoku Cloud Oscillator + Optional plots of Ichimoku Cloud and Breakout Signals
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Ichimoku Cloud Oscillator helps visualize the current price in relation to the breakout support/resistance of the Ichimoku Cloud using strict Ichimoku Cloud criteria (including Chikou Span agreeing with the breakout etc.). To plot the actual Ichimoku Cloud, enable Dɪsᴘʟᴀʏ Iᴄʜɪᴍᴏᴋᴜ Cʟᴏᴜᴅ and to plot the Kumo Breakout Signals, enable Sʜᴏᴡ Kᴜᴍᴏ Bʀᴇᴀᴋᴏᴜᴛ Sɪɢɴᴀʟs , with 𝐃𝐢𝐬𝐩𝐥𝐚𝐲 𝐈𝐧𝐝𝐢𝐜𝐚𝐭𝐨𝐫 𝐏𝐥𝐨𝐭 (𝐝𝐢𝐬𝐚𝐛𝐥𝐞𝐬 𝐓𝐫𝐚𝐜𝐤𝐞𝐫/𝐒𝐜𝐨𝐫𝐞𝐜𝐚𝐫𝐝) enabled.
Cloud Settings form the fundamental factor for this indicator to detect the breakouts. The settings for the Ichimoku Cloud is Automatic (detects right settings for the symbol type) by default, but this can be changed to Classic or 24/7 Crypto , based on the user preference from the settings under 𝐂𝐥𝐨𝐮𝐝 𝐓𝐲𝐩𝐞, which also includes a manual input option. Ichimoku traders can experiment different settings combinations under manual settings to suit their trading frequency and timeframe traded.
Donchian Channels + Optional plots of Donchian Channels and Breakout Signals
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Donchian Channels comprises of three plots - a upper band, a lower band and a mean line (or mid line of the channel). The upper band is based on highest high of N periods specified by the user and the lower band is based on the lowest low of N periods specified by the user. These channels help spot price breaching high or low of last N periods clearly, thereby aiding the trader to understand the price action of any symbol better on any given timeframe.
Donchian Channels Oscillator helps visualize the current price in relation to the Mean line of the Donchian Channels of user specified lookback period (specified in the Dᴏɴᴄʜɪᴀɴ Cʜᴀɴɴᴇʟ Lᴇɴɢᴛʜ input box). The sensitivity of the oscillator can be adjusted using smoothing factor in the Sᴍᴏᴏᴛʜɪɴɢ input box. To plot the actual Donchian Channels, enable Dɪsᴘʟᴀʏ Dᴏɴᴄʜɪᴀɴ Cʜᴀɴɴᴇʟs and to plot the Donchian Channels Breakout Signals, enable Sʜᴏᴡ DC Bʀᴇᴀᴋᴏᴜᴛ Sɪɢɴᴀʟs , with 𝐃𝐢𝐬𝐩𝐥𝐚𝐲 𝐈𝐧𝐝𝐢𝐜𝐚𝐭𝐨𝐫 𝐏𝐥𝐨𝐭 (𝐝𝐢𝐬𝐚𝐛𝐥𝐞𝐬 𝐓𝐫𝐚𝐜𝐤𝐞𝐫/𝐒𝐜𝐨𝐫𝐞𝐜𝐚𝐫𝐝) enabled.
Note: Using smoothing factor more than 1 doesn't reflect the actual Donchian Channels Mean line and also impacts the Tracker block colours.
Net Volume and Heikin Ashi Trend
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Net Volume and Heikin Ashi Trend can be tracked and plotted for up to 10 symbols in addition to the chart symbol, but both Net Volume and Heikin Ashi Trend are not included in the Visual Scorecard. Since the colour of the Net Volume depends on candle being bullish or bearish, it can help the user visualize if the current candle close of the symbol tracked is above or below the symbols's candle open.
Note: Bar Replay doesn't update the bar by bar indicator plot for historic bars for symbols other than the chart symbol. However, the Indicator Plot is perfectly usable for the realtime bar as data updates for both the Trackers and the Scorecard in realtime.
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𝗩𝗶𝘀𝘂𝗮𝗹 𝗦𝗰𝗼𝗿𝗲𝗰𝗮𝗿𝗱
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Visual Scorecard plots a green Bull or a red Bear Score colour plot for each Indicator from RSI to Donchian Channels Oscillator against every symbol tracked for up to 5 symbols max (First 5 symbols under 𝗧𝗿𝗮𝗰𝗸𝗲𝗿 𝗣𝗹𝗼𝘁𝘀 section). The gap between the scores can be adjusted using gap factor under Gᴀᴘ Fᴀᴄᴛᴏʀ ʙᴇᴛᴡᴇᴇɴ Sᴄᴏʀᴇs dropdown.
Visual Scorecard scoring method
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RSI > 50 - 🟢
RSI < 50 - 🔴
Stoch > 50 - 🟢
Stoch < 50 - 🔴
CCI > 0 - 🟢
CCI < 0 - 🔴
Close price above MA plot - 🟢
Close price below MA plot - 🔴
MACD > 0 - 🟢
MACD < 0 - 🔴
Bollinger Bands %B > 50 - 🟢
Bollinger Bands %B < 50 - 🔴
Ichimoku Bullish Kumo Trend - 🟢
Ichimoku Bearish Kumo Trend - 🔴
Donchian Channels Oscillator > 0 (or close price above DC Mean Line) - 🟢
Donchian Channels Oscillator < 0 (or close price below DC Mean Line) - 🔴
Note: Bar Replay doesn't update the bar by bar scores/tracker data for historic bars for symbols other than the chart symbol. However, the Scorecard is perfectly usable for the realtime bar as data updates for both the Trackers and the Scorecard in realtime.
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𝗠𝘂𝗹𝘁𝗶 𝗦𝘆𝗺𝗯𝗼𝗹 𝗧𝗿𝗮𝗰𝗸𝗲𝗿𝘀/𝗟𝗮𝗯𝗲𝗹𝘀
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Multi Symbol Tracker blocks continuously track the real-time indicator data of up to 10 symbols (in addition to the chart symbol) based on the number of Symbol Trackers preferred in the 𝐍𝐮𝐦𝐛𝐞𝐫 𝐨𝐟 𝐒𝐲𝐦𝐛𝐨𝐥 𝐓𝐫𝐚𝐜𝐤𝐞𝐫𝐬 (𝟎-𝟏𝟎) input box under the 𝗧𝗿𝗮𝗰𝗸𝗲𝗿 𝗣𝗹𝗼𝘁𝘀 section, and plots Bull, Bear and Neutral colour coded blocks based on both the indicator selected and settings preferred by the user under the relevant indicator section.
Multi Symbol Tracker Labels also continuously track the real-time indicator data in addition to the last close price (if 𝐒𝐡𝐨𝐰 𝐏𝐫𝐢𝐜𝐞 is enabled under 𝗧𝗿𝗮𝗰𝗸𝗲𝗿 𝗣𝗹𝗼𝘁𝘀 section), which helps user see the real-time changes in the indicator values and price changes of the symbols tracked.
The Tracker Label colours are exactly the same as the Tracker Block colours and are filtered based on the user preferred bands on the Oscillator values. This is slightly different to the Visual Scorecard Colour coding as the range between the user preferred bands is colour coded in a neutral colour, whereas the Scorecard uses only Bull and Bear Colours as explained in the 𝗩𝗶𝘀𝘂𝗮𝗹 𝗦𝗰𝗼𝗿𝗲𝗰𝗮𝗿𝗱 heading above. For example, if the user prefers RSI upper band of 60 and lower band of 40, the range between the values of 40 and 60 will be colour coded in neutral colour which can be changed from the 𝗨𝘀𝗲𝗳𝘂𝗹 𝗘𝘅𝘁𝗿𝗮𝘀 section of the indicator settings.
Note 1: Default settings are based on the Oscillator mid values and hence the Tracker Blocks match with the Visual Scorecard colour codes. Using Upper and Lower bands for oscillators help spot the oversold and overbought zones and also helps spot breakout threshold based on Indicator values specified by the user. Example chart with visual depiction below using RSI.
Note 2: Bar Replay doesn't update the bar by bar scores/tracker data for historic bars for symbols other than the chart symbol. However, the Tracker blocks/labels are perfectly usable for the realtime bar as data updates for both the Trackers and the Scorecard in realtime.
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Frequently Asked Questions
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Q: When I load the ™TradeChartist Tracker, why are the values in the labels blurred sometimes?
A: This happens occasionally as shown in the chart below, when the script is loaded for the first time or when a different setting is used.
To resolve this, just hide and unhide the script using the 👁 next to the Indicator title. If it is not visible, just hover the mouse/crosshair over the Indicator Title and it will be visible.
Q: Why does the indicator plot, tracker blocks and labels of Symbols being tracked, not update when I use Bar Replay?
A: As explained in the relevant sections above, historic data for bars and indicators other than chart symbol doesn't update on bar replay. But the chart symbol data does update for every bar on bar replay. This doesn't affect the real-time values and block colours for the symbols tracked.
Q: Can I track real-time values of a currently trading symbol when I'm on a symbol chart that is inactive? For example, can I see labels with real-time BTC values on a Sunday when I'm on a SPX chart when its not in session?
A: Simple answer is no. This is because, the plots are based on bar times of the chart and the symbols are tracked based on the bar time. So if the SPX session ended on Friday, the last known value of the BTC labels will be from Friday and hence it is always recommended to track symbols from a symbol chart that is in session.
Q: Does ™TradeChartist Tracker repaint?
A: This indicator doesn't repaint but it is not recommended to trade a different symbol from the chart based on the real-time data alone without checking if the current symbol chart is in session as inactive price chart will not have updated data on symbols tracked. Also, bar replay doesn't work on data pulled from external symbol data than the chart symbol, but signals confirmed at candle close and confirmed by Tracker blocks with appropriate colour code will be in agreement with the respective indicator and can be double checked for building trust and confidence on the indicator.
Q: Can ™TradeChartist Tracker be connected to other indicators as external source?
A: Yes. ™TradeChartist Tracker can be connected to another script and there are several use cases in doing so. A couple of examples are shown below.
1. ™TradeChartist Tracker 's Bollinger Bands %B 𝗜𝗻𝗱𝗶𝗰𝗮𝘁𝗼𝗿 𝗣𝗹𝗼𝘁 connected to ™TradeChartist Plotter to plot Divergences on the 4hr XAU-USD main price chart.
2. ™TradeChartist Tracker 's 𝐁𝐫𝐞𝐚𝐤𝐨𝐮𝐭 𝐓𝐫𝐞𝐧𝐝 𝐈𝐝𝐞𝐧𝐭𝐢𝐟𝐢𝐞𝐫 connected to ™TradeChartist Plug and Trade as Oscillatory Signal with 0/0 to generate trade signals with Targets and performance information on trades.
More Example Charts
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Best Practice: Test with different settings first using Paper Trades before trading with real money
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This is not a free to use indicator. Get in touch with me (PM me directly if you would like trial access to test the indicator)
Premium Scripts - Trial access and Information
Trial access offered on all Premium scripts.
PM me directly to request trial access to the scripts or for more information.
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