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Power Struggle [GOODY]๐Ÿ“Š Power Struggle โ€“ Gauge the Battle Between Bulls & Bears "Power Struggle " is an advanced, multi-layered market strength and momentum analysis tool. It combines the classic Elder Impulse System and Elder-Ray Power Columns with modern enhancements like visual gauges, momentum shift alerts, and volume-based divergence detection โ€” all in one clean and intuitive interface. ________________________________________ ๐Ÿง  What This Indicator Shows You: โœ… Bull vs Bear Power Columns โ€ข Visualize whoโ€™s in control with clean columns showing Bull and Bear dominance. โ€ข Fully integrated with EMA-based Impulse logic to detect trend conviction. โœ… Buy/Sell Signal Labels & Alerts โ€ข Trend-following signals based on dynamic power thresholds. โ€ข Green = Bull Confirmed | Red = Bear Confirmed โ€ข Alerts included for all signal and divergence conditions. โœ… Dynamic Volume Gauge (Horizontal or Vertical) โ€ข A powerful gauge showing real-time buyer/seller strength. โ€ข Includes divergence detection when volume and price disagree, often a warning sign. โ€ข ๐Ÿ”„ Fully customizable layout, position, flip, rotation, and gradient styling. โœ… Active Column Gauge โ€ข Tracks real-time momentum shifts within each candle. โ€ข Highlights power shifts with emoji markers (๐Ÿ‚/๐Ÿป), and calculates where price closes within each candle's range. โœ… Volume-in-Candle Labels (Optional) โ€ข See raw Buy vs Sell volume numbers inside the candles. โ€ข Easily spot if price moves are supported by actual volume. ________________________________________ โš™๏ธ Customizable Settings โ€ข ๐ŸŽš๏ธ Set thresholds for signal strictness โ€ข ๐Ÿ”” Use built-in alerts for: o Bullish/Bearish Impulse o Bull/Bear Power Thresholds o Bullish/Bearish Divergences o Momentum Shifts
Penunjuk Pine Scriptยฎ
oleh BAJI26
Trapped Traders Order BlocksHow It Works The Trapped Traders Order Blocks indicator identifies specific price action patterns that suggest large market participants ("big money") have been trapped in losing positions after significant price sweeps, creating potential opportunities for reversals. The indicator detects both "bullish trap blocks" (where bearish traders are trapped) and "bearish trap blocks" (where bullish traders are trapped). Hereโ€™s the step-by-step process for each: Bullish Trap Block (Bears Trapped): A bearish candle (Candle A) must sweep the high of the previous candle (Candle B), meaning its high exceeds the high of the prior candle. This bearish candle must have a longer upper wick than its lower wick, indicating rejection of higher prices. The candle must not be a doji (i.e., it must have a significant body, defined as the body being at least 10% of the candle's range). The next candle (Candle C) must close above the body of the bearish candle (Candle A), suggesting that price has immediately moved against the bearish sweep, potentially trapping bearish traders who entered short positions expecting a downward move. The body of the bearish candle (Candle A) is marked as a "bullish trap block." A box is drawn around this candle's body, and a label ("Bullish Trap") is placed below it. Bearish Trap Block (Bulls Trapped): A bullish candle (Candle A) must sweep the low of the previous candle (Candle B), meaning its low is below the low of the prior candle. This bullish candle must have a longer lower wick than its upper wick, indicating rejection of lower prices. The candle must not be a doji. The next candle (Candle C) must close below the body of the bullish candle (Candle A), suggesting that price has immediately moved against the bullish sweep, potentially trapping bullish traders who entered long positions expecting an upward move. The body of the bullish candle (Candle A) is marked as a "bearish trap block." A box is drawn around this candle's body, and a label ("Bearish Trap") is placed above it. Dynamic Box Extension: For both bullish and bearish trap blocks, the box extends dynamically to the current bar unless it exceeds a user-defined age (default is 52 bars), at which point it stops at the maximum age. Sweep Detection: Bullish Sweep (of any trap block, bullish or bearish): The current candle's open is above the top of the box. The low is below the top of the box. The close is above the top of the box. The lower wick is longer than the upper wick (indicating rejection of lower prices). The close is above 50% of the candle's range (ensuring a strong bullish bias). When a bullish sweep occurs, a label ("Bullish Sweep") is placed at the low of the candle, pointing upward, and an alert is triggered. Bearish Sweep (of any trap block, bullish or bearish): The current candle's open is below the bottom of the box. The high is above the bottom of the box. The close is below the bottom of the box. The upper wick is longer than the lower wick (indicating rejection of higher prices). The close is below 50% of the candle's range (ensuring a strong bearish bias). When a bearish sweep occurs, a label ("Bearish Sweep") is placed at the high of the candle, pointing downward, and an alert is triggered. When to Be Used The Trapped Traders Order Blocks indicator is best used in the following scenarios: Reversal Trading: Use this indicator to identify potential reversal points in the market. Bullish trap blocks suggest that trapped bears may unwind their short positions, leading to a potential bullish move. Bearish trap blocks suggest that trapped bulls may unwind their long positions, leading to a potential bearish move. Look for sweeps of these blocks as confirmation of a directional move. A bullish sweep indicates a potential upward move, while a bearish sweep indicates a potential downward move. Range-Bound Markets: In sideways or ranging markets, trapped blocks can highlight key levels where large players have been caught off-guard. These levels often act as support or resistance, and a sweep of the block can signal a breakout or continuation in the direction of the sweep. Confluence with Other Indicators: Combine the trapped blocks with other technical analysis tools, such as support/resistance levels, Fibonacci retracements, or volume analysis, to increase the probability of a successful trade. For example, a bullish trap block near a strong support level with a bullish sweep can provide a high-probability setup for a long position, while a bearish trap block near a strong resistance level with a bearish sweep can signal a short opportunity. Timeframes: The indicator is most effective on higher timeframes such as 1-day (1D), 1-week (1W), and 1-month (1M) charts. These timeframes are more likely to capture significant moves involving large market participants, reducing noise and false signals compared to lower timeframes. While it can be used on lower timeframes (e.g., 1-hour or 4-hour), the signals may be less reliable due to increased market noise. Logic Behind It The logic behind the Trapped Traders Order Blocks indicator is rooted in market psychology and the behavior of large market participants ("big money"). When a large sweep candle occurs where price spikes in one direction but then quickly reverses it often indicates that traders have entered positions in the direction of the sweep, expecting a continuation. However, if the price immediately moves against them, these traders are now trapped in losing positions. Bullish Trap Block (Bears Trapped): A large bearish sweep candle (spiking upward but closing lower) suggests that bearish traders (bears) have entered short positions at the top of the move, expecting a downward continuation. If the next candle closes above the bearish candle's body, these bears are trapped in losing positions. The body of the bearish candle becomes a "bullish trap block" because the trapped bears are likely to have placed their stop-loss orders or break-even exit orders just above the high of the sweep candle or within the body of the candle. As price revisits this level in the future, these trapped traders may attempt to unwind their positions by buying back their shorts, which can drive the price higher. This unwinding process often attracts new buyers, leading to a potential bullish reversal or continuation. The bullish sweep conditions (e.g., close > box top, longer lower wick, and close above 50% of the range) ensure that the price action at the block level shows strong bullish momentum and rejection of lower prices, confirming the potential for a move higher. Bearish Trap Block (Bulls Trapped): A large bullish sweep candle (spiking downward but closing higher) suggests that bullish traders (bulls) have entered long positions at the bottom of the move, expecting an upward continuation. If the next candle closes below the bullish candle's body, these bulls are trapped in losing positions. The body of the bullish candle becomes a "bearish trap block" because the trapped bulls are likely to have placed their stop-loss orders or break-even exit orders just below the low of the sweep candle or within the body of the candle. As price revisits this level in the future, these trapped traders may attempt to unwind their positions by selling their longs, which can drive the price lower. This unwinding process often attracts new sellers, leading to a potential bearish reversal or continuation. The bearish sweep conditions (e.g., close < box bottom, longer upper wick, and close below 50% of the range) ensure that the price action at the block level shows strong bearish momentum and rejection of higher prices, confirming the potential for a move lower. Summary Bullish Trap Block: Occurs when bears get trapped after a bearish sweep candle is immediately followed by a bullish candle, indicating a potential reversal as trapped bears may unwind their positions. Bearish Trap Block: Occurs when bulls get trapped after a bullish sweep candle is immediately followed by a bearish candle, indicating a potential bearish reversal. Use Case: Ideal for identifying reversal opportunities, especially in range-bound markets or at key support/resistance levels on higher timeframes like 1D, 1W, and 1M, and can be combined with other indicators for confluence. Logic: Large sweep candles followed by an immediate reversal suggest that big money has been trapped, and these traders may unwind their positions at break-even in the near future, driving price in the opposite direction of their initial trade. This indicator provides a visual and actionable way to identify these trapped trader scenarios, with customizable settings for box display, sweep visuals, and alerts to help traders capitalize on these opportunities, particularly on higher timeframes where the signals are most reliable.
Penunjuk Pine Scriptยฎ
oleh mindyourbuisness
24
Democratic MultiAsset Strategy [BerlinCode42]Happy Trade, Intro Included Trade Concept Included Indicators and Compare-Functions Usage and Example Settings Menu Declaration for Tradingview House Rules on Script Publishing Disclaimer Conclusion 1. Intro This is the first multi-asset strategy available on TradingViewโ€”a market breadth multi-asset trading strategy with integrated webhooks, backtesting capabilities, and essential strategy components like Take Profit, Stop Loss, Trailing, Hedging, Time & Session Filters, and Alerts. How It Trades? At the start of each new bar, one asset from a set of eight is selected to go long or short. As long there is available cash and the selected asset meets the minimum criteria. The selection process works through a voting system, similar to a democracy. Each asset is evaluated using up to five indicators that the user can choose. The asset with the highest overall voting score is picked for the trade. If no asset meets all criteria, no trade is executed, and the cash reserve remains untouched for future opportunities. How to Set Up This Market Breadth Strategy: Choose eight assets from the same market (e.g., cryptos or big tech stocks). Select one to five indicators for the voting system. Refine the strategy by adjusting Take Profit, Stop Loss, Hedging, Trailing, and Filters. 2. Voting as the included Trade Concept The world of financial trading is filled with both risks and opportunities, and the key challenge is to identify the right opportunities, manage risks, and do both right on time. There are countless indicators designed to spot opportunities and filter out risks, but no indicator is perfectโ€”they only work statistically, hitting the right signals more often than the wrong ones. The goal of this strategy is to increase the accuracy of these Indicators by: Supervising a larger number of assets Filtering out less promising opportunities This is achieved through a voting system that compares indicator values across eight different assets. It doesn't just compare long tradesโ€”it also evaluates long vs. short positions to identify the most promising trade. Why focus on one asset class? While you can randomly select assets from different asset classes, doing so prevents the algorithm from identifying the strongest asset within a single class. Think about, within one asset class there is often a major trend whereby different asset classes has not really such behavior. And, you donโ€™t necessarily need trading in multiple classesโ€”this algorithm is designed to generate profits in both bullish and bearish markets. So when ever an asset class rise or fall the voting system ensure to jump on the strongest asset. So this focusing on one asset class is an integral part of this strategy. This all leads to more stable and robust trading results compared to handling each asset separately. 3. Included Indicators and Compare-Functions You can choose from 17 different indicators, each offering different types of signals: Some provide a directional signal Some offer a simple on/off signal Some provide both Available Indicators: RSI, Stochastic RSI, MFI, Price, Volume, Volume Oscillator, Pressure, Bilson Gann Trend, Confluence, TDI, SMA, EMA, WMA, HMA, VWAP, ZLMA, T3MA However, these indicators alone do not generate trade signals. To do so, they must be compared with thresholds or other indicators using specific comparison functions. Example โ€“ RSI as a Trade Signal. The RSI provides a value between 0 and 100. A common interpretation is: RSI over 80 โ†’ Signal to go short or exit a long trade RSI under 20 โ†’ Signal to go long or exit a short trade Here, two comparison functions and two thresholds are used to determine trade signals. Below is the full set of available comparison functions, where: I represents the indicatorโ€™s value and A represents the comparatorโ€™s value. I < A if I smaller A then trade signal I > A if I bigger A then trade signal I = A if I equal to A then trade signal I != A if I not equal to A then trade signal A <> B if I bigger A and I smaller B then trade signal A >< B if I smaller A then long trade signal or if I bigger B then short trade signal Image 1 In Image 1, you can see one of five input sections, where you define an indicator along with its function, comparator, and constants. For our RSI example, we select: Indicator: RSI Function: >< (greater/less than) Comparator: Constant Constants: A = 20, B = 80 With these settings a go short signal is triggered when RSI crosses above 80. And a go long signal is triggered when RSI crosses below 20. Relative Strength Indicator: The RSI from the public TradingView library provides a directional trade signal. You can adjust the price source and period length in the indicator settings. Stochastic Relative Strength Indicator: As above the Stoch RSI offers a trade signal with direction. It is calculated out of the RSI, the stochastic derivation and the SMA from the Tradingview library. You can set the in-going price source and the period length for the RSI, for the Stochastic Derivation and for the SMA as blurring in the Indicator settings section. Money Flow Indicator: As above the MFI from the public Tradingview library offers a trade signal with direction. You can set the in-going price source and the period length in the Indicator settings section. Price: The Price as Indicator is as simple as it can be. You can chose Open, High, Low or Close or combinations of them like HLC3 or even you can import an external Indicator. The absolute price or value can later be used to generate a trade signals when certain constant thresholds or other indicators signals are crossed. Volume: Similar as above the Volume as Indicator offers the average volume as absolute value. You can set the period length for the smoothing and you can chose where it is presented in the base currency $ or is the other. For example the trade pair BTCUSD you can chose to present the value in $ or in BTC. Volume Oscillator: The Volume Oscillator Indicator offers a value in the range of . Whereby a value close to 0 means that the volume is very low. A value around 1 means the volume is same high as before and Values higher as 1 means the volume is bigger then before. You can set the period length for the smoothing and you can chose where it is presented in the base currency $ or is the other. For example the trade pair BTCUSD you can chose to present the value in $ or in BTC. Pressure Indicator: The Pressure is an adapted version of LazyBear's script (Squeeze Momentum Indicator) Pressure is a Filter that highlight bars before a bigger price move in any direction. The result are integer numbers between 0 and 4 whereby 0 means no bigger price move excepted, while 4 means huge price move expected. You can set the in-going price source and the period length in the Indicator settings section. Bilson Gann Trend: The Bilson Gann Trend Indicator is a specific re-implementation of the widely known Bilson Gann Count Algorithm to detect Highs and Lows. On base of the last four Highs and Lows a trend direction can be calculated. It is based on 2 rules to confirm a local pivot candidate. When a local pivot candidate is confirmed, let it be a High then it looks for Lows to confirm. The result range is whereby -1 means down trend, 1 means uptrend and 0 sideways. Confluence: The Confluence Indicator is a simplified version of Dale Legan's "Confluence" indicator written by Gary Fritz. It uses five SMAs with different periods lengths. Whereby the faster SMA get compared with the (slower) SMA with the next higher period lengths. Is the faster SMA smaller then the slower SMA then -1, otherwise +1. This is done with all SMAs and the final sum range between . Whereby values around 0 means price is going side way, Crossing under 0 means trend change from bull to bear. Is the value>2 means a strong bull trend and <-2 a strong bear trend. Trades Dynamic Index: The TDI is an adapted version from the "Traders Dynamic Index" of LazyBear. The range of the result is whereby 2 means Top goShort, -2 means Bottom goLong, 0 is neutral, 1 is up trend, -1 is down trend. Simple Moving Average: The SMA is the one from the Tradingview library. You can compare it with the last close price or any other moving average indicator to indicate up and down trends. You can set the in-going price source and the period length in the Indicator settings section. Exponential Moving Average: The EMA as above is the one from the Tradingview library. You can compare it with the last close price or any other moving average indicator to indicate up and down trends. You can set the in-going price source and the period length in the Indicator settings section. Weighted Moving Average: The WMA as above is the one from the Tradingview library. You can compare it with the last close price or any other moving average indicator to indicate up and down trends. You can set the in-going price source and the period length in the Indicator settings section. Hull Moving Average: HMA as above is the one from the Tradingview library. You can compare it with the last close price or any other moving average indicator to indicate up and down trends. You can set the in-going price source and the period length in the Indicator settings section. Volume Weighted Average Price: The VWAP as above is the one from the Tradingview library. You can compare it with the last close price or any other moving average indicator to indicate up and down trends. You can set the in-going price source in the Indicator settings section. Zero Lag Moving Average: The ZLMA by John Ehlers and Ric Way describe in their paper: www.mesasoftware.com As the other moving averages you can compare it with the last close price or any other moving average indicator to indicate up and down trends. You can set the in-going price source and the period length in the Indicator settings section. T3 Moving Average: The T3MA is the one from the Tradingview library. You can compare it with the last close price or any other moving average indicator to indicate up and down trends. You can set the in-going price source, the period length and a factor in the Indicator settings section. Keep this factor at 1 and the T3MA swing in the same range as the input. Bigger 1 and it swings over. Factors close to 0 and the T3MA becomes a center line. All MA's following the price. The function to compare any MA Indicators would be < or > to generate a trade direction. An example follows in the next section. 4. Example and Usage In this section, you see how to set up the strategy using a simple example. This example was intentionally chosen at random and has not undergone any iterations to refine the trade results. We use the RSI as the trade signal indicator and apply a filter using a combination of two moving averages (MAs). The faster MA is an EMA, while the slower MA is an SMA. By comparing these two MAs, we determine a trend direction. If the faster MA is above the slower MA the trend is upwards etc. This trend direction can then be used for filtering trades. The strategy follows these rules: If the RSI is below 20, a buy signal is generated. If the RSI is above 80, a sell signal is generated. However, this RSI trade signal is filtered so that a trade is only given the maximum voting weight if the RSI trade direction aligns with the trend direction determined by the MA filter. So first, you need to add your chosen assets or simply keep the default ones. In Image 2, you can see one of the eight asset input sections. Image 2 This strategy offers some general trade settings that apply equally to all assets and some asset-specific settings. This distinction is necessary because some assets have higher volatility than others, requiring asset-specific Take Profit and Stop Loss levels. Once you have made your selections, proceed to the Indicators and Compare Functions for the voting. Image 3 shows an example of this setup. Image 3 Later on go to the Indicator specific settings shown in Image 4 to refine the trade results. Image 4 For refine the trade results take also a look on the result summary table, development of capital plot, on the list of closed and open trades and screener table shown in Image 5. Image 5 To locate any trade for any asset in the chronological and scroll-able trade list, each trade is marked with a label: An opening label displaying the trade direction, ticker ID, trade number, invested amount, and remaining cash reserves. A closing label showing the closing reason, ticker ID, trade number, trade profit (%), trade revenue ($), and updated cash reserves. Additionally: a green line marks each Take Profit level. An orange line indicates the (trailing) Stop Loss. The summary table in the bottom-left corner provides insights into how effective the trade strategy is. By analyzing the trade list, you can identify trades that should be avoided. To find those bad trades on the chart, use the trade number or timestamp. With replay mode, you can go back in time to review a specific trade in detail. Image 6 In Image 6, you can see an example where replay mode and the start time filter are used to display specific trades within a narrow time range. By identifying a large number of bad trades, you may recognize patterns and formulate conditions to avoid them in the future. This is the backtesting tool that allows you to develop and refine your trading strategy continuously. With each iterationโ€”from general adjustments to detailed optimizationsโ€”you can use these tools to improve your strategy. You can: Add other indicators with trade signals and direction Add more indicators signals as filter Adjust the settings of your indicators to optimize results Configure key strategy settings, such as Time and Session Filters, Stop Loss, Take Profit, and more By doing so, you can identify a profitable strategy and its optimal settings. 5. Settings Menu In the settings menu you will find the following high-lighted sections. Most of the settings have a i mark on their right side. Move over it with the cursor to read specific explanation. Backtest Results: Here you can decide about visibility of the trade list, of the Screener Table and of the Results Summary. And the colors for bullish, side ways, bearish and no signal. Go above and see Image 5. Time Filter: You can set a Start time or deactivate it by leave it unhooked. The same with End Time and Duration Days . Duration Days can also count from End time in case you deactivate Start time. Session Filter: Here, you can chose to activate trading on a weekly basis, specifying which days of the week trading is allowed and which are excluded. Additionally, you can configure trading on a daily basis, setting the start and end times for when trades are permitted. If activated, no new trades will be initiated outside the defined times and sessions. Trade Logic: Here you can set an extra time frame for all indicators. You can enable Longs or Shorts or both trades. The min Criteria percentage setting defines the minimum number of voices an asset has to get to be traded. So if you set this to 50% or less also weak winners of the voting get traded while 100% means that the winner of the voting has to get all possible voices. Additionally, you have the option to delay entry signals. This feature is particularly useful when trade signals exhibit noise and require smoothing. Enable Trailing Stop and force the strategy to trade only at bar closing. Other-ways the strategy trade intrabar, so when ever a voting present an asset to trade, it will send the alert and the webhooks. The Hedging is basic as shown in the following Image 7 and serves as a catch if price moves fast in the wrong direction. You can activate a hedging mechanism, which opens a trade in the opposite direction if the price moves x% against the entry price. If both the Stop Loss and Hedging are triggered within the same bar, the hedging action will always take precedence. Image 6 Indicators to use for Trade Signal Generating: Here you chose the Indicators and their Compare Function for the Voting . Any activated asset will get their indicator valuation which get compared over all assets. The asset with the highest valuation is elected for the trade as long free cash is present and as long the minimum criteria are met. The Screener Table will show all indicators results of the last bar of all assets. Those indicator values which met the threshold get a background color to high light it. Green for bullish, red for bearish and orange for trade signals without direction. If you chose an Indicator here but without any compare function it will show also their results but with just gray background. Indicator Settings: here you can setup the indicator specific settings. for deeper insights see 3. Included Indicators and Compare-Functions . Assets, TP & SL Settings: Asset specific settings. Chose here the TickerID of all Assets you wanna trade. Take Profit 1&2 set the target prices of any trade in relation to the entry price. The Take Profit 1 exit a part of the position defined by the quantity value. Stop Loss set the price to step out when a trade goes the wrong direction. Invest Settings: Here, you can set the initial amount of cash to start with. The Quantity Percentage determines how much of the available cash is allocated to each trade, while the Fee percentage specifies the trading fee applied to both opening and closing positions. Webhooks: Here, you configure the License ID and the Comment . This is particularly useful if you plan to use multiple instances of the script, ensuring the webhooks target the correct positions. The Take Profit and Stop Loss values are displayed as prices. 6. Declaration for Tradingview House Rules on Script Publishing The unique feature of this Democratic Multi-Asset Strategy is its ability to trade multiple assets simultaneously. Equipped with a set of different standard Indicators, it's new democratic Voting System does more robust trading decisions compared to single-asset. Interchangeable Indicators and customizable strategy settings allowing for a wide range of trading strategies. This script is closed-source and invite-only to support and compensate for over a year of development work. Unlike other single asset strategies, this one cannot use TradingView's strategy functions. Instead, it is designed as an indicator. 7. Disclaimer Trading is risky, and traders do lose money, eventually all. This script is for informational and educational purposes only. All content should be considered hypothetical, selected post-factum and is not to be construed as financial advice. Decisions to buy, sell, hold, or trade in securities, commodities, and other investments involve risk and are best made based on the advice of qualified financial professionals. Past performance does not guarantee future results. Using this script on your own risk. This script may have bugs and I declare don't be responsible for any losses. 8. Conclusion Now itโ€™s your turn! Chose an asset class and pick 8 of them and chose some indicators to see the trading results of this democratic voting system. Refine your multi-asset strategy to favorable settings. Once you find a promising configuration, you can set up alerts to send webhooks directly. Configure all parameters, test and validate them in paper trading, and if results align with your expectations, you even can deploy this script as your trading bit. Cheers
Penunjuk Pine Scriptยฎ
oleh BerlinCode42
3
Enhanced Order Flow Pressure GaugeShort Description: Estimates bullish/bearish pressure by analyzing each candleโ€™s close position within its range, then weighting that by volume. Detects potential trend shifts and provides real-time signals. Full Description: 1. Purpose The Enhanced Order Flow Pressure Gauge (OFPG+) is designed to approximate buy vs. sell pressure within each bar, even if you donโ€™t have full Level II / order flow data. By measuring the candleโ€™s close relative to its high-low range and multiplying by volume, OFPG+ provides insights into which side of the market (bulls or bears) is more aggressive in a given interval. 2. Key Components Pressure Score (Histogram): Raw measure of each barโ€™s close position (rangePos) minus midpoint, multiplied by volume. If the bar closes near its high with decent volume, the score is positive (bullish). Conversely, a close near its low yields a negative (bearish) reading. Cumulative Pressure: Sum of all pressure readings over time (similar to cumulative delta), reflecting the overall market bias. Pressure Delta: The change in cumulative pressure from one bar to the next, plotted as a line. Rising values suggest increasing bullish momentum, while falling values show growing bearish influence. 3. Visual Cues & Signals Histogram (Pressure Profile): A color-coded bar for each candle, indicating net bullish (blue) or bearish (gray) intrabar pressure. Pressure Delta Line: Plotted over the histogram. Turns bullish (blue) when net buy pressure is increasing, or bearish (gray) when net selling accelerates. Background Highlights: Turns lightly blue if the smoothed pressure line exceeds the positive threshold, or lightly gray if it goes below the negative threshold. Bullish / Bearish Signals: Bullish Signal occurs when the smoothed pressure line crosses above the positive threshold, combined with a positive Delta. Bearish Signal occurs when the smoothed pressure line crosses below the negative threshold, combined with a negative Delta. Confirmed Signals: After a bullish/bearish signal, OFPG+ checks the highest or lowest smoothed pressure values over a user-defined number of bars (signalLookback) to confirm momentum. Plotshapes (diamond icons) appear on the chart to mark these confirmed reversals. 4. Usage Scenarios Trend-Following / Momentum: Watch for transitions from negative to positive net pressure or vice versa. Helps identify potential turning points. Reversal Confirmation: The threshold-based signals plus the โ€œconfirmedโ€ checks can help filter choppy conditions. Volume-Weighted Insights: By factoring in volume, strong closes near the highs or lows are weighted more heavily, capturing sentiment shifts. 5. Inputs & Parameters Smoothing Length (length): The EMA period for smoothing the raw pressure score. Volume Weight (volWeight): Scales the volume impact on pressure calculations. Pressure Threshold (threshold): Defines when pressure is considered significantly bullish or bearish. Signal Lookback (signalLookback): Number of bars to confirm momentum after a signal. 6. Alerts Bullish Signal & Confirmed Bullish Bearish Signal & Confirmed Bearish These alerts can notify you in real-time about potential shifts in the marketโ€™s buying or selling pressure. 7. Disclaimer This script provides an approximation of order flow by analyzing candle structure and volume. It does not represent actual exchange-level order data. Past performance is not necessarily indicative of future results. Always conduct thorough analysis and use proper risk management. Not financial advice. Use at your own discretion.
Penunjuk Pine Scriptยฎ
oleh AI-signals
2
WIG20 Total Value-Weighted VolumeThis Pine Script creates a custom indicator for TradingView that calculates and visualizes the total "value-weighted volume" of the 20 stocks in the WIG20 index (a major Polish stock market index). Here's a breakdown of what it does: Functionality: Stock Selection: The script allows you to input the ticker symbols for the 20 stocks that make up the WIG20 index (e.g., "PKO" for PKO Bank Polski, "PKN" for PKN Orlen, etc.). These are customizable via input fields, so you can adjust them to match the current WIG20 constituents. Data Retrieval: For each of the 20 stocks, it fetches two pieces of data from the current chart timeframe (e.g., daily, hourly): Volume: The number of shares traded (e.g., v01 for the first stock). Average Price: The midpoint price of the candle, calculated as (open + close) / 2 (e.g., p01 for the first stock). This represents a typical price for that period. Value-Weighted Volume Calculation: For each stock, it multiplies the volume by its average price (e.g., vw01 = v01 * p01). This converts the raw volume (in shares) into a monetary value (e.g., in Polish zล‚oty, PLN, assuming the prices are in PLN). The result, called "value-weighted volume," reflects the total monetary amount traded for each stock rather than just the number of shares. Total Value-Weighted Volume: It sums the value-weighted volumes of all 20 stocks into a single value, totalValueVolume. This represents the combined monetary trading activity across the WIG20 index for each time period (e.g., each candle on the chart). Statistical Analysis: The script calculates a rolling mean and standard deviation of the totalValueVolume over a user-defined lookback period (default is 20 bars, adjustable via input). It then computes a "3-sigma" threshold, which is the mean plus three times the standard deviation. This threshold identifies unusually high trading activity (statistically significant outliers). Candle Direction: It checks whether the current candle on the chart (e.g., the WIG20 index itself) is bullish or bearish: Bullish: If the close price is higher than the open price (close > open). Bearish: If the close price is lower than the open price (close < open). Color-Coded Visualization: The totalValueVolume is plotted as a histogram on the chart with dynamic colors: Blue: If the value-weighted volume is below the 3-sigma threshold (normal trading activity). Green: If the value-weighted volume exceeds the 3-sigma threshold and the candle is bullish (indicating unusually high buying activity). Red: If the value-weighted volume exceeds the 3-sigma threshold and the candle is bearish (indicating unusually high selling activity). Purpose: What It Shows: The indicator highlights the total monetary trading volume across the WIG20 stocks, adjusted for each stockโ€™s price, and flags periods of exceptional activity (above 3 sigma) with colors that indicate market direction (bullish or bearish). Use Case: Traders or analysts might use this to: Identify significant market events where trading volume spikes (e.g., news-driven moves). Assess whether those spikes align with bullish (green) or bearish (red) sentiment, based on the WIG20 indexโ€™s price movement. Compare monetary trading activity across different periods, rather than just share volume, which gives more weight to higher-priced stocks. Key Features: Customizable: You can tweak the stock symbols and lookback period to fit your needs. Statistical Insight: The 3-sigma rule helps spot outliers in trading activity. Visual Clarity: The histogramโ€™s color changes make it easy to see when volume spikes occur and whether theyโ€™re tied to upward or downward price moves. Example Output: On a daily WIG20 chart, if one dayโ€™s total value-weighted volume is exceptionally high (above 3 sigma) and the WIG20 closes higher than it opened, the histogram bar for that day turns green. If it closes lower, it turns red. Otherwise, it stays blue. In essence, this script transforms raw volume data into a price-adjusted, statistically informed indicator that visually emphasizes significant trading events with directional context!
Penunjuk Pine Scriptยฎ
oleh JDtradingCharts
Price-Aligned Trend Indicator - Saerthak AnandThis is a Pine Script (version 6) for TradingView that creates a "Price-Aligned Trend Indicator" with three different T3 moving averages (Fast, Medium, and Slow). The indicator colors the lines based on the trend (bullish, bearish, or neutral) and adds "BREAKOUT" or "BREAKDOWN" labels when the fast moving average crosses the medium moving average. Explanation: T3 Moving Average Calculation: The function calculates the T3 moving average by recursively applying the exponential moving average (EMA) multiple times. Trend Conditions: Bullish: Fast > Medium > Slow. Bearish: Fast < Medium < Slow. Neutral: Any other condition. Plotting: The three T3 moving averages are plotted with different levels of opacity based on the trend. A colored cloud is filled between the fast and medium lines, indicating the current trend. Breakout and Breakdown Labels: A "BREAKOUT" label is displayed when the fast T3 crosses above the medium T3 and the overall trend is bullish. A "BREAKDOWN" label is displayed when the fast T3 crosses below the medium T3 and the overall trend is bearish. Suggestions for Improvement: Performance Optimization: You may want to experiment with higher T3 lengths for smoother trend visualization. Customization: Consider adding options for users to customize colors and label display. Alert Conditions: You can add alertcondition for breakouts and breakdowns for real-time alerts in TradingView. Signal Confirmation: Add further trend confirmation (e.g., volume analysis or RSI) to reduce false signals.
Penunjuk Pine Scriptยฎ
oleh sarthaks31
1
SPY vs TQQQ Candle Divergence# SPY vs TQQQ Candle Divergence Indicator ## Description This indicator monitors and visualizes candlestick divergences between SPY (S&P 500 ETF) and TQQQ (ProShares UltraPro QQQ ETF). It identifies situations where one security is showing bullish movement (green candle) while the other is showing bearish movement (red candle) within the same time period. ## Features - Real-time divergence detection between SPY and TQQQ - Visual markers with distinct colors for each type of divergence - Built-in alert conditions for automated monitoring - Works on any timeframe - Overlay indicator that plots directly on the chart ## Divergence Types ### SPY Bullish / TQQQ Bearish - Condition: SPY forms a green candle while TQQQ forms a red candle - Marker: Green label with "SPY" text above the bar - Alert Message: "SPY is green while TQQQ is red" ### SPY Bearish / TQQQ Bullish - Condition: SPY forms a red candle while TQQQ forms a green candle - Marker: Red label with "SPY" text below the bar - Alert Message: "TQQQ is green while SPY is red" ### TQQQ Bullish / SPY Bearish - Visualization: Blue label with "TQQQ" text above the bar - Indicates TQQQ strength relative to SPY ### TQQQ Bearish / SPY Bullish - Visualization: Purple label with "TQQQ" text below the bar - Indicates TQQQ weakness relative to SPY ## Technical Implementation - Built on Pine Script version 5 - Uses `request.security()` to fetch data for both symbols - Implements simple candle color detection (1 for green, -1 for red, 0 for doji) - Plots markers using `plotshape()` with different colors and positions ## Visual Elements - Label Colors: - SPY Bullish: Green - SPY Bearish: Red - TQQQ Bullish: Blue - TQQQ Bearish: Purple - All labels use white text for visibility - Small label size for clean chart appearance - Labels positioned above/below bars for clear identification ## Alert System Two built-in alert conditions: 1. "SPY Green TQQQ Red Divergence" 2. "TQQQ Green SPY Red Divergence" ## Usage 1. Add the indicator to any chart (preferably SPY or TQQQ) 2. Look for colored labels indicating divergences 3. Set up alerts for automated monitoring 4. Use divergences as potential signals for: - Market sector rotation - Relative strength analysis - Trading opportunities - Risk management ## Notes - Best used in conjunction with other technical indicators - Consider overall market conditions when interpreting signals - Useful for identifying potential market reversals or continuations - Can help in timing entries and exits ## Limitations - Requires data feed for both SPY and TQQQ - Only considers candle color, not candle size or volume - May generate frequent signals in choppy markets ## Disclaimer This indicator is for informational purposes only. Always use proper risk management and consider multiple factors when making trading decisions.
Penunjuk Pine Scriptยฎ
oleh IndicatorCraft
1
Uptrick: FRAMA Matrix RSIUptrick: FRAMA Matrix RSI Introduction The Uptrick: FRAMA Matrix RSI is a momentum-based indicator that integrates the Relative Strength Index (RSI) with the Fractal Adaptive Moving Average (FRAMA). By applying FRAMA's adaptive smoothing to RSIโ€”and further refining it with a Zero-Lag Moving Average (ZLMA)โ€”this script creates a refined and reliable momentum oscillator. The indicator now includes enhanced divergence detection, potential reversal signals, customizable buy/sell signal options, an internal stats table, and a fully customizable bar coloring system for an enhanced visual trading experience. Why Combine RSI with FRAMA Traditional RSI is a well-known momentum indicator but has several limitations. It is highly sensitive to price fluctuations, often generating false signals in choppy or volatile markets. FRAMA, in contrast, adapts dynamically to price changes by adjusting its smoothing factor based on market conditions. By integrating FRAMA into RSI calculations, this indicator reduces noise while preserving RSI's ability to track momentum, adapts to volatility by reducing lag in trending markets and smoothing out choppiness in ranging conditions, enhances trend-following capability for more reliable momentum shifts, and refines overbought and oversold signals by adjusting to the current market structure. With the new enhancements, such as a manual alpha input, noise filtering, divergence detection, and multiple buy/sell signal options, the indicator offers even greater flexibility and precision for traders. This combination improves the standard RSI by making it more adaptive and responsive to market changes. Originality This indicator is unique because it applies FRAMA's adaptive smoothing technique to RSI, creating a dynamic momentum oscillator that adjusts to different market conditions. Many traditional RSI-based indicators either use fixed smoothing methods like exponential moving averages or employ basic RSI calculations without adjusting for volatility. This script stands out by integrating several elements, including the fractal dimension-based smoothing of FRAMA to reduce noise while retaining responsiveness, the use of Zero-Lag Moving Average smoothing to enhance trend sensitivity and reduce lag, divergence detection to highlight mismatches between price action and RSI momentum, a noise filter and manual alpha option to prevent minor fluctuations from generating false signals, customizable buy/sell signal options that let traders choose between ZLMA-based or FRAMA RSI-based signals, an internal stats table displaying real-time FRAMA calculations such as fractal dimension and the adaptive alpha factor, and a fully customizable bar coloring system to visually distinguish bullish, bearish, and neutral conditions. Features Adaptive FRAMA RSI The indicator applies FRAMA to RSI values, making the momentum oscillator adaptive to volatility while filtering out noise. Unlike a traditional RSI that reacts equally to all price movements, FRAMA RSI adjusts its smoothing factor based on market structure, making it more effective for identifying true momentum shifts. Zero-Lag Moving Average (ZLMA) A smoothing technique that minimizes lag while preserving the responsiveness of price movements. It is applied to the FRAMA RSI to further refine signals and ensure smoother trend detection. Bullish and Bearish Threshold Crossovers This system compares FRAMA RSI to a user-defined threshold (default is 50). When FRAMA RSI moves above the threshold, it indicates bullish momentum, while movement below signals bearish conditions. The enhanced noise filter ensures that only significant moves trigger signals. Noise Filter and Manual Alpha A new noise filter input prevents tiny fluctuations from triggering false signals. In addition, a manual alpha option allows traders to override the automatically computed smoothing factor with a custom value, providing extra control over the indicatorโ€™s sensitivity. Divergence Detection The indicator identifies divergence patterns by comparing FRAMA RSI pivots to price action. Bullish divergence occurs when price makes a lower low while FRAMA RSI makes a higher low, and bearish divergence occurs when price makes a higher high while FRAMA RSI makes a lower high. These signals can help traders anticipate potential reversals. Reversal Signals Labels appear on the chart when FRAMA RSI confirms classic RSI overbought (70) or oversold (30) conditions, providing visual cues for potential trend reversals. Buy and Sell Signal Options Traders can now choose between two signal-generation methods. ZLMA-based signals trigger when the ZLMA of FRAMA RSI crosses key overbought (70) or oversold (30) levels, while FRAMA RSI-based signals trigger when FRAMA RSI itself crosses these levels. This added flexibility allows users to tailor the indicator to their preferred trading style. ZLMA: FRAMA: Customizable Alerts Alerts notify traders when FRAMA RSI crosses key levels, divergence signals occur, reversal conditions are met, or buy/sell signals trigger. This ensures that important trading events are not missed. Fully Customizable Bar Coloring System Users can color bars based on different conditions, enhancing visual clarity. Bar coloring modes include: FRAMA RSI threshold (bars change color based on whether FRAMA RSI is above or below the threshold), ZLMA crossover (bars change when ZLMA crosses overbought or oversold levels), buy/sell signals (bars change when official signals trigger), divergence (bars highlight when bullish or bearish divergence is detected), and reversals (bars indicate when RSI reaches overbought or oversold conditions confirmed by FRAMA RSI). The system also remembers the last applied bar color, ensuring a smooth visual transition. Input Parameters and Features Core Inputs RSI Length (default: 14) defines the period for RSI calculations. FRAMA Lookback (default: 16) determines the length for the FRAMA smoothing function. RSI Bull Threshold (default: 50) sets the level above which the market is considered bullish and below which it is bearish. Noise Filter (default: 1.0) ensures that small fluctuations do not trigger false bullish or bearish signals. Additional Features Show Bull and Bear Alerts (default: true) enables notifications when FRAMA RSI crosses the threshold. Enable Divergence Detection (default: false) highlights bullish and bearish divergences based on price and FRAMA RSI pivots. Show Potential Reversal Signals (default: false) identifies overbought (70) and oversold (30) levels as possible trend reversal points. Buy and Sell Signal Option (default: ZLMA) allows traders to choose between ZLMA-based signals or FRAMA RSI-based signals for trade entry. ZLMA Enhancements ZLMA Length (default: 14) determines the period for the Zero-Lag Moving Average applied to FRAMA RSI. Visualization Options Show Internal Stats Table (default: false) displays real-time FRAMA calculations, including fractal dimension and the adaptive alpha smoothing factor. Show Threshold FRAMA Signals (default: false) plots buy and sell labels when FRAMA RSI crosses the threshold level. How It Works FRAMA Calculation FRAMA dynamically adjusts smoothing based on the price fractal dimension. The alpha smoothing factor is derived from the fractal dimension or can be set manually to maintain responsiveness. RSI with FRAMA Smoothing RSI is calculated using the user-defined lookback period. FRAMA is then applied to the RSI to make it more adaptive to volatility. Optionally, ZLMA is applied to further refine the signals and reduce lag. Bullish and Bearish Threshold Crosses A bullish condition occurs when FRAMA RSI crosses above the threshold, while a bearish condition occurs when it falls below. The noise filter ensures that only significant trend shifts generate signals. Buy and Sell Signal Options Traders can choose between ZLMA crossovers or FRAMA RSI crossovers as the basis for buy and sell signals, offering flexibility in trade entry timing. Divergence Detection The indicator identifies divergences where price action and FRAMA RSI momentum do not align, potentially signaling upcoming reversals. Reversal Signal Labels When classic RSI overbought or oversold levels are confirmed by FRAMA RSI conditions, reversal labels are added on the chart to highlight potential exhaustion points. Bar Coloring System Bars are dynamically colored based on various conditions such as RSI thresholds, ZLMA crossovers, buy/sell signals, divergence, and reversals, allowing traders to quickly interpret market sentiment. Alerts and Internal Stats Customizable alerts notify traders of key events, and an optional internal stats table displays real-time calculations (fractal dimension, alpha value, and RSI values) to help users understand the underlying dynamics of the indicator. Summary The Uptrick: FRAMA Matrix RSI offers an enhanced approach to momentum analysis by combining RSI with adaptive FRAMA smoothing and additional layers of signal refinement. The indicator now includes adaptive RSI smoothing to reduce noise and improve responsiveness, Zero-Lag Moving Average filtering to minimize lag, divergence and reversal detection to identify potential turning points, customizable buy/sell signal options that let traders choose between different signal methodologies, a fully customizable bar coloring system to visually distinguish market conditions, and an internal stats table for real-time insight into FRAMA calculation parameters. Whether used for trend confirmation, divergence detection, or momentum-based strategies, this indicator provides a powerful and adaptive approach to trading. Disclaimer This script is for informational and educational purposes only. Trading involves risk, and past performance does not guarantee future results. Always conduct proper research and consult with a financial advisor before making trading decisions.
Penunjuk Pine Scriptยฎ
oleh Uptrick
ZenAlgo - Heavy DeltaThe ZenAlgo - Heavy Delta indicator is a comprehensive technical analysis tool designed for traders seeking a deeper understanding of market dynamics. It combines multiple advanced sub-indicators, including Order Blocks, Moving Averages, VWAP, and Delta Volume analysis, and more to provide actionable insights. This indicator is particularly useful for identifying potential trade entries and exits based on institutional order flow and price action patterns. Features Order Block Detection: Identifies bullish and bearish order blocks with detailed visualization and volume analysis. VWAP (Volume Weighted Average Price): Tracks the average price of a security weighted by volume over various anchor periods. Moving Averages (MA): Customizable MAs (13, 21, 50, 200 periods) to detect trends and momentum shifts. Daily Open and Monday Range: Highlights key levels like daily open and intraday/multi-day high-low ranges for better price context. Delta Volume Analysis: Measures the net difference between buying and selling volume for market sentiment insights. Divergence Detection: Detects regular and hidden bullish/bearish divergences for trend reversal opportunities. Visual Alerts: Displays intuitive symbols for potential buy/sell signals and key price levels. Added Value: Why Is This Indicator Original/Why Shall You Pay for This Indicator? The ZenAlgo - Heavy Delta indicator offers a distinct advantage by integrating multiple analysis techniques into one cohesive tool. While many individual indicators are freely available, this script goes beyond simple overlays to provide an advanced analytical framework. Hereโ€™s why it stands out: 1. Synergy of Indicators Order Blocks: These are not static; the indicator dynamically calculates zones where institutional activity likely occurred, supported by volume-weighted metrics. Delta Volume Analysis: Freely available delta volume tools typically show raw data, but this script filters noise, categorizes volume into meaningful up/down segments, and integrates it with other signals for context. VWAP and Moving Averages: VWAP and customizable MAs are enhanced with divergence checks, color-coded trends, and market state classifications. This integration helps confirm trends and reversals with higher precision. 2. Volume-Based Insights Traditional volume indicators often fail to show the "intent" behind price moves. This script combines delta volume and order block data to highlight areas of significant buying or selling pressure and their potential impacts on future price action. 3. Visual Simplicity with Advanced Logic Unlike using several separate tools, which can clutter your chart, this indicator presents a streamlined interface. Every plotted element serves a clear purpose, minimizing distractions while maximizing actionable insights. 4. Customized for Active Traders The indicator doesnโ€™t just provide standard calculations. It includes proprietary adjustments like mitigation thresholds in order blocks, percentage-based signals for VWAP, and delta volume intensity levels that align better with active market conditions. 5. Why Pay for It? Time and effort savings: Instead of setting up and calibrating multiple tools, this indicator combines them into a single efficient package. Enhanced accuracy: Each sub-indicator validates the others, reducing false signals. Unique features: For instance, the script automatically adjusts for multi-timeframe inconsistencies and uses gradient color fills to convey volume strength in order blocksโ€”a feature absent in free indicators. How It Works The indicator combines individual sub-indicators into a logical framework where each part contributes to the overall analysis. Hereโ€™s how each feature operates: 1. Order Blocks Identification: Uses specific price action patterns to locate zones of likely institutional interest (bullish or bearish blocks). Dynamic Updates: The blocks adjust as new price data comes in, ensuring their relevance. Volume within these zones is weighted, helping assess their strength and potential price reactions. Visual Enhancements: Blocks are color-coded and filled with gradients based on volume intensity, providing immediate visual cues about their importance. 2. VWAP (Volume Weighted Average Price) Calculation: Anchored to user-selected periods (daily, weekly, etc.), VWAP is recalculated in real-time, showing the "fair" price based on traded volume. Integration: Acts as a dynamic support/resistance line, particularly useful in intraday and swing trading. Labels provide percentage deviation for quick interpretation. 3. Moving Averages (MAs) Customization: Supports various types (EMA, SMA, etc.) and lengths (13, 21, 50, 200). Traders can configure these to suit their strategies. Market Status: By comparing the price to these MAs, the indicator classifies the market as Full Bull, Bullish, Neutral, Bearish, or Full Bear. This high-level summary helps traders quickly gauge market sentiment. 4. Delta Volume Core Logic: Calculates the net difference between buying and selling pressure (volume) for each candle. Visual Signals: Plots symbols when significant delta volume changes coincide with other indicator signals, like divergence or order block activity. 5. Daily Open and Monday Range Purpose: Identifies key psychological levels like the daily open and the high/low range for the first trading day of the week. Context: Highlights these levels with dynamic percentage changes, helping traders understand how price is behaving relative to them. 6. Divergence Detection Logic: Tracks discrepancies between price movement and momentum (via Moving Averages, Delta Volume, and Order Blocks). These divergences often precede reversals. Validation: Divergences are only flagged when other features, like delta volume shifts or order block interactions, confirm the setup. By combining these tools in a meaningful way, ZenAlgo - Heavy Delta transforms raw data into actionable intelligence, giving traders a comprehensive view of market dynamics and a significant edge in decision-making. Why Use Heikin Ashi for Heavy Delta? The ZenAlgo - Heavy Delta indicator is optimized for Heikin Ashi (HA) candles, which smooth out market noise and make trends more visually apparent. Heikin Ashi works best for this strategy for several key reasons: Why Heikin Ashi Works Best Trend Clarity: Unlike traditional candlesticks, Heikin Ashi averages price data to create smoother transitions. This helps the indicator better identify sustained trends and reduces false signals caused by short-term price fluctuations. Noise Reduction: HA candles filter out minor fluctuations and emphasize the overall market direction, making it easier to align the indicatorโ€™s signals (like Delta Volume and Order Blocks) with larger market movements. Improved Visual Insights: Features like Order Blocks and Delta Volume align well with Heikin Ashi's smoothed representation, as it avoids the erratic movements that traditional candles sometimes display. Better Support for Trend Strategies: Heikin Ashi candles naturally highlight key reversals and continuation patterns, which complement the analytical goals of this indicator. Important Notes About Heikin Ashi: Synthetic Nature of HA Candles: Heikin Ashi values are calculated differently than traditional candles. For example: a) The open is the average of the prior candle's open and close. b) The close is the average of the high, low, open, and close. This synthetic nature means that HA candles do not reflect actual market prices but rather smoothed averages, which can slightly lag real-time price movements. Lagging Effect: Because HA candles use averaged data, they can lag behind actual price action. This is beneficial for identifying trends but less effective for precise entry/exit timing. Inaccuracy in Low Volatility: In low-volume or low-volatility conditions, HA candles may distort actual price dynamics, leading to less reliable insights. No Direct Alerts or Buy/Sell Signals : Issuing explicit buy or sell signals based on Heikin Ashi candles is not possible due to their averaged, synthetic nature. As such, the ZenAlgo - Heavy Delta indicator does not generate direct trading signals. Instead, the indicator is a decision-support tool that provides insights into trends, volume dynamics, and potential key levels, leaving trade execution to the trader's discretion. Usage Examples Trend Confirmation: Use the MA market status to identify if the market is in a Full Bull or Bear state. Reversal Zones: Monitor order block zones for price rejection or absorption, signaling a potential reversal. Breakout Trading: Trade breakouts when price surpasses VWAP or Monday Range highs/lows. Delta Divergence: Look for positive/negative delta volume divergences during consolidations for breakout cues. Mean Reversion: Use VWAP or MAs as dynamic support/resistance for mean reversion setups. Intraday Scalping: Utilize daily open and intraday levels for short-term trades. Swing Trading: Employ order blocks and multi-day ranges to frame swing trade setups. Volume Climax: Identify volume spikes using Delta Volume to confirm trend continuation or reversal. Momentum Trading: Combine divergence signals with Delta Volume for high-conviction entries. Risk Management: Use defined order block boundaries to set stop losses and targets. Settings Order Blocks: Customize label visibility, label offsets, and block appearance. VWAP: Adjust anchor period and toggle visibility. Moving Averages: Configure length, type (EMA, SMA, etc.), and visibility of MAs (13, 21, 50, 200). Delta Volume: Enable/disable delta symbols and labels, adjust sensitivity multipliers. Daily Open/Monday Range: Toggle visibility and customize display preferences. General Visuals: Adjust label offsets, color schemes, and transparency. Important Notes This indicator is a technical analysis tool and does not guarantee trading success. Use it in conjunction with other indicators and fundamental analysis for a more comprehensive trading strategy. Performance may vary in low-liquidity markets or during sudden news events. Divergence signals might fail in strongly trending markets.
Penunjuk Pine Scriptยฎ
oleh ZenAlgo_Official
SCE - Single Candle EntryThe SCE - Single Candle Entry Strategy indicator is designed for traders looking to capitalize on powerful single-candle patterns and their combinations to identify potential entries and reversals. This indicator focuses specifically on The Strat methodology, making it accessible for both scalpers and swing traders across any timeframe. Key Features Identifies and marks number 3 candles (outside bars) Detects powerful 3-2 combinations Shows extra strong setups with potential reversal signals Clean and uncluttered visual design Customizable display options Comprehensive alert system Understanding the Signals Number 3 Candles A number 3 is an outside bar that makes both a higher high AND lower low than the previous candle Bullish 3: closes above its open (marked with green '3') Bearish 3: closes below its open (marked with red '3') 3-2 Combinations (โ˜…) A powerful setup occurs when a number 2 follows a number 3 in the same direction: Bullish: A bullish 3 followed by a bullish 2 that closes above the high of the 3 Bearish: A bearish 3 followed by a bearish 2 that closes below the low of the 3 Strong 3-2 Combinations (โšก) Even more powerful setups that could indicate potential reversal points: Strong Bullish: A bullish 3-2 that forms after a bearish candle Strong Bearish: A bearish 3-2 that forms after a bullish candle Settings The indicator allows you to toggle: Number 3 candles display Regular 3-2 combinations Strong 3-2 combinations Tips for Usage Look for strong 3-2 combinations (โšก) as potential reversal signals Combine with other indicators or price action for confirmation Use the alerts function to ensure you never miss a setup Works effectively on any timeframe Can be used for both scalping and swing trading Disclaimer This indicator is meant for educational and informational purposes only. Always conduct your own analysis and manage your risk appropriately. Get ready to simplify your entries.
Penunjuk Pine Scriptยฎ
oleh HeddaTrades
6
CVD OscillatorCVD Delta Oscillator A momentum oscillator that measures buying and selling pressure through volume analysis, based on the principle that volume precedes price (cause and effect). How It Works Volume Analysis Measures the force of buying and selling by analyzing how volume interacts with price movement within each bar When price closes higher in a bar's range with strong volume, this indicates stronger buying pressure When price closes lower in a bar's range with strong volume, this indicates stronger selling pressure Momentum Measurement Uses two EMAs (fast and slow) to smooth the volume delta The difference between these EMAs creates an oscillator that shows: Rising values = Buying pressure increasing Falling values = Selling pressure increasing Zero line crossovers = Potential shift in control between buyers and sellers Signal Generation Divergences Bullish: Price falls to new lows while buying pressure increases (potential reversal up) Bearish: Price rises to new highs while selling pressure increases (potential reversal down) Zero-Line Crossovers Bullish: Buying pressure overtakes selling pressure Bearish: Selling pressure overtakes buying pressure Practical Application Reading the Indicator Green columns above zero = Net buying pressure Red columns below zero = Net selling pressure Larger columns = Stronger pressure Divergences and crossovers = Potential turning points Trading Context Helps identify when price movement has strong or weak volume support Shows potential exhaustion points through divergences Confirms trend changes through zero-line crossovers Customization Adjustable EMA periods for different trading styles Toggle-able visual signals Automatic alerts for all signals
Penunjuk Pine Scriptยฎ
oleh mindyourbuisness
3
Pearson's R TrendPearson's R Trend Indicator Overview The Pearson's R Trend Indicator is an advanced technical analysis tool that measures the strength and direction of price trends using statistical correlation. By comparing fast and slow-period Pearson correlation coefficients, this indicator helps identify trend momentum, potential reversals, and overbought/oversold conditions. Key Features Dual timeframe correlation analysis (Fast and Slow periods) Signal line with crossover alerts Dynamic histogram for trend visualization Configurable overbought/oversold levels Multiple visual components with customizable colors Comprehensive alert system Technical Details Core Calculations Fast R: Calculates Pearson's correlation coefficient over the faster period (default: 21 periods) Slow R: Calculates Pearson's correlation coefficient over the slower period (default: 34 periods) R-Diff: Normalized difference between Fast and Slow R values (range: -1 to 1) Signal Line: Smoothed average of R-Diff (default: 3-period SMA) Histogram: Difference between R-Diff and Signal Line Signal Generation Zero Line Crosses โ€ข Bullish: R-Diff crosses above zero โ€ข Bearish: R-Diff crosses below zero Signal Line Crosses โ€ข Bullish: R-Diff crosses above Signal Line โ€ข Bearish: R-Diff crosses below Signal Line Overbought/Oversold Conditions โ€ข Overbought: R-Diff above 0.45 (default) โ€ข Oversold: R-Diff below -0.45 (default) Customization Options Calculation Settings Fast Length: Period for fast correlation calculation (default: 21) Slow Length: Period for slow correlation calculation (default: 34) Signal Smoothing: Moving average period for signal line (default: 3) Price Source: Configurable input source (default: close) Visual Settings Histogram display toggle Signal line display toggle Crossing markers toggle Line width adjustments Custom color schemes for bullish/bearish signals Configurable overbought/oversold levels Interpretation Bullish Signals R-Diff crossing above zero R-Diff crossing above signal line R-Diff emerging from oversold territory Positive histogram expansion Bearish Signals R-Diff crossing below zero R-Diff crossing below signal line R-Diff dropping from overbought territory Negative histogram expansion Alert Conditions Zero line crosses (both directions) Signal line crosses (both directions) Overbought zone entry Oversold zone entry Best Practices Use multiple timeframe analysis for confirmation Combine with volume and price action analysis Watch for divergences between R-Diff and price Pay attention to histogram momentum changes Use overbought/oversold levels as dynamic support/resistance zones Notes The indicator uses statistical correlation to measure trend strength Normalized calculations ensure consistent -1 to 1 range Built-in alert system for all major signal types Customizable visual elements for optimal chart analysis Disclaimer This technical indicator is designed to supplement your trading analysis and should not be used as the sole decision-making tool. Always combine with other forms of analysis and proper risk management techniques.
Penunjuk Pine Scriptยฎ
oleh lazy_capitalist
Sector Trend MapThe Sector Trend Map is a powerful tool designed to provide a sentiment heatmap for major market sectors. This indicator tracks the average trend direction across 11 key sectors, including Technology, Financials, Healthcare, Energy, and more. By monitoring each sector's sentiment, the Sector Trend Map helps traders quickly assess whether sectors are bullish or bearish, allowing for better-informed trading decisions. This indicator plots a visual heatmap showing the sentiment strength for each sector on a scale from 0 to 100. The colors range from green for bullish sentiment to red for bearish sentiment. Additionally, it displays a real-time percentage of sectors that are bullish and bearish in a dynamic table located in the bottom right corner of the chart. This indicator simplifies sector sentiment analysis by providing clear visual cues, making it easy to stay on top of market dynamics and make data-driven trading decisions. Key Features: Sentiment Heatmap: Displays a heatmap of sector sentiment ranging from bullish (green) to bearish (red). Bullish/Bearish Percentages: A dynamic table showing the percentage of sectors that are bullish or bearish. Tracks 11 Key Sectors: Monitors sectors such as Technology, Financials, Energy, Healthcare, and more. Simple and Clear Visuals: Provides easy-to-read color coding for quick decision-making. Customizable Moving Averages: Select between SMA, EMA, WMA, or DEMA for the trend calculation. Market Hours Sensitivity: Indicator operates during regular market hours, ensuring relevance for day traders and active traders. Overlay Sentiment Colors on Candles: This feature allows you to overlay the sentiment (green for bullish, red for bearish) directly onto the price chart candles. You can enable or disable this option based on your preference. How to Use the Sector Trend Map: The heatmap is divided into different sectors. Each sector is colored based on its current sentiment: ๐ŸŸข Green (Bullish sentiment) ๐Ÿ”ด Red (Bearish sentiment) Sentiment is calculated on a scale from 0 to 100, with 50 being the neutral point. Sectors above 50 are bullish, while sectors below 50 are bearish. Bullish/Bearish Percentage Table: A table is displayed in the bottom right corner of the screen, showing the percentage of sectors that are currently bullish and bearish. Bullish %: The percentage of sectors above 50 on the sentiment scale. Bearish %: The percentage of sectors below 50 on the sentiment scale. Market Hours Activity: The indicator only calculates and displays data during market hours (09:30 AM to 4:00 PM EST), ensuring it stays relevant to intraday trading. Outside of market hours, the indicator remains inactive. Best Used For: Intraday Traders: Get real-time sector sentiment during market hours and make better trading decisions based on sector strength or weakness. Swing Traders: Monitor sector trends to spot shifts in market sentiment over time. Sector Rotation Strategies: Use the indicator to identify which sectors are gaining or losing strength, aiding in sector rotation strategies. Practical Example: If 7 out of the 11 sectors display a bullish sentiment, the table will show 63.64% as bullish and 36.36% as bearish. The heatmap will show green sectors for those above the 50 sentiment threshold, allowing you to visually spot the sectors leading the market.
Penunjuk Pine Scriptยฎ
oleh EnsoAlphaChad
5
Trading IQ - ICT LibraryLibrary "ICTlibrary" Used to calculate various ICT related price levels and strategies. An ongoing project. Hello Coders! This library is meant for sourcing ICT related concepts. While some functions might generate more output than you require, you can specify "Lite Mode" as "true" in applicable functions to slim down necessary inputs. isLastBar(userTF) โ€ƒโ€ƒIdentifies the last bar on the chart before a timeframe change โ€ƒโ€ƒParameters: โ€ƒโ€ƒโ€ƒโ€ƒ userTF (simple int) : the timeframe you wish to calculate the last bar for, must be converted to integer using 'timeframe.in_seconds()' โ€ƒโ€ƒReturns: bool true if bar on chart is last bar of higher TF, dalse if bar on chart is not last bar of higher TF necessaryData(atrTF) โ€ƒโ€ƒreturns necessaryData UDT for historical data access โ€ƒโ€ƒParameters: โ€ƒโ€ƒโ€ƒโ€ƒ atrTF (float) : user-selected timeframe ATR value. โ€ƒโ€ƒReturns: logZ. log return Z score, used for calculating order blocks. method gradBoxes(gradientBoxes, idColor, timeStart, bottom, top, rightCoordinate) โ€ƒโ€ƒcreates neon like effect for box drawings โ€ƒโ€ƒNamespace types: array โ€ƒโ€ƒParameters: โ€ƒโ€ƒโ€ƒโ€ƒ gradientBoxes (array) : an array.new() to store the gradient boxes โ€ƒโ€ƒโ€ƒโ€ƒ idColor (color) โ€ƒโ€ƒโ€ƒโ€ƒ timeStart (int) : left point of box โ€ƒโ€ƒโ€ƒโ€ƒ bottom (float) : bottom of box price point โ€ƒโ€ƒโ€ƒโ€ƒ top (float) : top of box price point โ€ƒโ€ƒโ€ƒโ€ƒ rightCoordinate (int) : right point of box โ€ƒโ€ƒReturns: void checkIfTraded(tradeName) โ€ƒโ€ƒchecks if recent trade is of specific name โ€ƒโ€ƒParameters: โ€ƒโ€ƒโ€ƒโ€ƒ tradeName (string) โ€ƒโ€ƒReturns: bool true if recent trade id matches target name, false otherwise checkIfClosed(tradeName) โ€ƒโ€ƒchecks if recent closed trade is of specific name โ€ƒโ€ƒParameters: โ€ƒโ€ƒโ€ƒโ€ƒ tradeName (string) โ€ƒโ€ƒReturns: bool true if recent closed trade id matches target name, false otherwise IQZZ(atrMult, finalTF) โ€ƒโ€ƒcustom ZZ to quickly determine market direction. โ€ƒโ€ƒParameters: โ€ƒโ€ƒโ€ƒโ€ƒ atrMult (float) : an atr multiplier used to determine the required price move for a ZZ direction change โ€ƒโ€ƒโ€ƒโ€ƒ finalTF (string) : the timeframe used for the atr calcuation โ€ƒโ€ƒReturns: dir market direction. Up => 1, down => -1 method drawBos(id, startPoint, getKeyPointTime, getKeyPointPrice, col, showBOS, isUp) โ€ƒโ€ƒcalculates and draws Break Of Structure โ€ƒโ€ƒNamespace types: array โ€ƒโ€ƒParameters: โ€ƒโ€ƒโ€ƒโ€ƒ id (array) โ€ƒโ€ƒโ€ƒโ€ƒ startPoint (chart.point) โ€ƒโ€ƒโ€ƒโ€ƒ getKeyPointTime (int) : the actual time of startPoint, simplystartPoint.time โ€ƒโ€ƒโ€ƒโ€ƒ getKeyPointPrice (float) : the actual time of startPoint, simplystartPoint.price โ€ƒโ€ƒโ€ƒโ€ƒ col (color) : color of the BoS line / label โ€ƒโ€ƒโ€ƒโ€ƒ showBOS (bool) : whether to show label/line. This function still calculates internally for other ICT related concepts even if not drawn. โ€ƒโ€ƒโ€ƒโ€ƒ isUp (bool) : whether BoS happened during price increase or price decrease. โ€ƒโ€ƒReturns: void method drawMSS(id, startPoint, getKeyPointTime, getKeyPointPrice, col, showMSS, isUp, upRejections, dnRejections, highArr, lowArr, timeArr, closeArr, openArr, atrTFarr, upRejectionsPrices, dnRejectionsPrices) โ€ƒโ€ƒcalculates and draws Market Structure Shift. This data is also used to calculate Rejection Blocks. โ€ƒโ€ƒNamespace types: array โ€ƒโ€ƒParameters: โ€ƒโ€ƒโ€ƒโ€ƒ id (array) โ€ƒโ€ƒโ€ƒโ€ƒ startPoint (chart.point) โ€ƒโ€ƒโ€ƒโ€ƒ getKeyPointTime (int) : the actual time of startPoint, simplystartPoint.time โ€ƒโ€ƒโ€ƒโ€ƒ getKeyPointPrice (float) : the actual time of startPoint, simplystartPoint.price โ€ƒโ€ƒโ€ƒโ€ƒ col (color) : color of the MSS line / label โ€ƒโ€ƒโ€ƒโ€ƒ showMSS (bool) : whether to show label/line. This function still calculates internally for other ICT related concepts even if not drawn. โ€ƒโ€ƒโ€ƒโ€ƒ isUp (bool) : whether MSS happened during price increase or price decrease. โ€ƒโ€ƒโ€ƒโ€ƒ upRejections (array) โ€ƒโ€ƒโ€ƒโ€ƒ dnRejections (array) โ€ƒโ€ƒโ€ƒโ€ƒ highArr (array) : array containing historical highs, should be taken from the UDT "necessaryData" defined above โ€ƒโ€ƒโ€ƒโ€ƒ lowArr (array) : array containing historical lows, should be taken from the UDT "necessaryData" defined above โ€ƒโ€ƒโ€ƒโ€ƒ timeArr (array) : array containing historical times, should be taken from the UDT "necessaryData" defined above โ€ƒโ€ƒโ€ƒโ€ƒ closeArr (array) : array containing historical closes, should be taken from the UDT "necessaryData" defined above โ€ƒโ€ƒโ€ƒโ€ƒ openArr (array) : array containing historical opens, should be taken from the UDT "necessaryData" defined above โ€ƒโ€ƒโ€ƒโ€ƒ atrTFarr (array) : array containing historical atr values (of user-selected TF), should be taken from the UDT "necessaryData" defined above โ€ƒโ€ƒโ€ƒโ€ƒ upRejectionsPrices (array) : array containing up rejections prices. Is sorted and used to determine selective looping for invalidations. โ€ƒโ€ƒโ€ƒโ€ƒ dnRejectionsPrices (array) : array containing down rejections prices. Is sorted and used to determine selective looping for invalidations. โ€ƒโ€ƒReturns: void method getTime(id, compare, timeArr) โ€ƒโ€ƒgets time of inputted price (compare) in an array of data this is useful when the user-selected timeframe for ICT concepts is greater than the chart's timeframe โ€ƒโ€ƒNamespace types: array โ€ƒโ€ƒParameters: โ€ƒโ€ƒโ€ƒโ€ƒ id (array) : the array of data to search through, to find which index has the same value as "compare" โ€ƒโ€ƒโ€ƒโ€ƒ compare (float) : the target data point to find in the array โ€ƒโ€ƒโ€ƒโ€ƒ timeArr (array) : array of historical times โ€ƒโ€ƒReturns: the time that the data point in the array was recorded method OB(id, highArr, signArr, lowArr, timeArr, sign) โ€ƒโ€ƒstore bullish orderblock data โ€ƒโ€ƒNamespace types: array โ€ƒโ€ƒParameters: โ€ƒโ€ƒโ€ƒโ€ƒ id (array) โ€ƒโ€ƒโ€ƒโ€ƒ highArr (array) : array of historical highs โ€ƒโ€ƒโ€ƒโ€ƒ signArr (array) : array of historical price direction "math.sign(close - open)" โ€ƒโ€ƒโ€ƒโ€ƒ lowArr (array) : array of historical lows โ€ƒโ€ƒโ€ƒโ€ƒ timeArr (array) : array of historical times โ€ƒโ€ƒโ€ƒโ€ƒ sign (int) : orderblock direction, -1 => bullish, 1 => bearish โ€ƒโ€ƒReturns: void OTEstrat(OTEstart, future, closeArr, highArr, lowArr, timeArr, longOTEPT, longOTESL, longOTElevel, shortOTEPT, shortOTESL, shortOTElevel, structureDirection, oteLongs, atrTF, oteShorts) โ€ƒโ€ƒexecutes the OTE strategy โ€ƒโ€ƒParameters: โ€ƒโ€ƒโ€ƒโ€ƒ OTEstart (chart.point) โ€ƒโ€ƒโ€ƒโ€ƒ future (int) : future time point for drawings โ€ƒโ€ƒโ€ƒโ€ƒ closeArr (array) : array of historical closes โ€ƒโ€ƒโ€ƒโ€ƒ highArr (array) : array of historical highs โ€ƒโ€ƒโ€ƒโ€ƒ lowArr (array) : array of historical lows โ€ƒโ€ƒโ€ƒโ€ƒ timeArr (array) : array of historical times โ€ƒโ€ƒโ€ƒโ€ƒ longOTEPT (string) : user-selected long OTE profit target, please create an input.string() for this using the example below โ€ƒโ€ƒโ€ƒโ€ƒ longOTESL (int) : user-selected long OTE stop loss, please create an input.string() for this using the example below โ€ƒโ€ƒโ€ƒโ€ƒ longOTElevel (float) : long entry price of selected retracement ratio for OTE โ€ƒโ€ƒโ€ƒโ€ƒ shortOTEPT (string) : user-selected short OTE profit target, please create an input.string() for this using the example below โ€ƒโ€ƒโ€ƒโ€ƒ shortOTESL (int) : user-selected short OTE stop loss, please create an input.string() for this using the example below โ€ƒโ€ƒโ€ƒโ€ƒ shortOTElevel (float) : short entry price of selected retracement ratio for OTE โ€ƒโ€ƒโ€ƒโ€ƒ structureDirection (string) : current market structure direction, this should be "Up" or "Down". This is used to cancel pending orders if market structure changes โ€ƒโ€ƒโ€ƒโ€ƒ oteLongs (bool) : input.bool() for whether OTE longs can be executed โ€ƒโ€ƒโ€ƒโ€ƒ atrTF (float) : atr of the user-seleceted TF โ€ƒโ€ƒโ€ƒโ€ƒ oteShorts (bool) : input.bool() for whether OTE shorts can be executed @exampleInputs oteLongs = input.bool(defval = false, title = "OTE Longs", group = "Optimal Trade Entry") longOTElevel = input.float(defval = 0.79, title = "Long Entry Retracement Level", options = , group = "Optimal Trade Entry") longOTEPT = input.string(defval = "-0.5", title = "Long TP", options = , group = "Optimal Trade Entry") longOTESL = input.int(defval = 0, title = "How Many Ticks Below Swing Low For Stop Loss", group = "Optimal Trade Entry") oteShorts = input.bool(defval = false, title = "OTE Shorts", group = "Optimal Trade Entry") shortOTElevel = input.float(defval = 0.79, title = "Short Entry Retracement Level", options = , group = "Optimal Trade Entry") shortOTEPT = input.string(defval = "-0.5", title = "Short TP", options = , group = "Optimal Trade Entry") shortOTESL = input.int(defval = 0, title = "How Many Ticks Above Swing Low For Stop Loss", group = "Optimal Trade Entry") โ€ƒโ€ƒReturns: void (0) displacement(logZ, atrTFreg, highArr, timeArr, lowArr, upDispShow, dnDispShow, masterCoords, labelLevels, dispUpcol, rightCoordinate, dispDncol, noBorders) โ€ƒโ€ƒcalculates and draws dispacements โ€ƒโ€ƒParameters: โ€ƒโ€ƒโ€ƒโ€ƒ logZ (float) : log return of current price, used to determine a "significant price move" for a displacement โ€ƒโ€ƒโ€ƒโ€ƒ atrTFreg (float) : atr of user-seleceted timeframe โ€ƒโ€ƒโ€ƒโ€ƒ highArr (array) : array of historical highs โ€ƒโ€ƒโ€ƒโ€ƒ timeArr (array) : array of historical times โ€ƒโ€ƒโ€ƒโ€ƒ lowArr (array) : array of historical lows โ€ƒโ€ƒโ€ƒโ€ƒ upDispShow (int) : amount of historical upside displacements to show โ€ƒโ€ƒโ€ƒโ€ƒ dnDispShow (int) : amount of historical downside displacements to show โ€ƒโ€ƒโ€ƒโ€ƒ masterCoords (map) : a map to push the most recent displacement prices into, useful for having key levels in one data structure โ€ƒโ€ƒโ€ƒโ€ƒ labelLevels (string) : used to determine label placement for the displacement, can be inside box, outside box, or none, example below โ€ƒโ€ƒโ€ƒโ€ƒ dispUpcol (color) : upside displacement color โ€ƒโ€ƒโ€ƒโ€ƒ rightCoordinate (int) : future time for displacement drawing, best is "last_bar_time" โ€ƒโ€ƒโ€ƒโ€ƒ dispDncol (color) : downside displacement color โ€ƒโ€ƒโ€ƒโ€ƒ noBorders (bool) : input.bool() to remove box borders, example below @exampleInputs labelLevels = input.string(defval = "Inside" , title = "Box Label Placement", options = ) noBorders = input.bool(defval = false, title = "No Borders On Levels") โ€ƒโ€ƒReturns: void method getStrongLow(id, startIndex, timeArr, lowArr, strongLowPoints) โ€ƒโ€ƒunshift strong low data to array id โ€ƒโ€ƒNamespace types: array โ€ƒโ€ƒParameters: โ€ƒโ€ƒโ€ƒโ€ƒ id (array) โ€ƒโ€ƒโ€ƒโ€ƒ startIndex (int) : the starting index for the timeArr array of the UDT "necessaryData". this point should start from at least 1 pivot prior to find the low before an upside BoS โ€ƒโ€ƒโ€ƒโ€ƒ timeArr (array) : array of historical times โ€ƒโ€ƒโ€ƒโ€ƒ lowArr (array) : array of historical lows โ€ƒโ€ƒโ€ƒโ€ƒ strongLowPoints (array) : array of strong low prices. Used to retrieve highest strong low price and see if need for removal of invalidated strong lows โ€ƒโ€ƒReturns: void method getStrongHigh(id, startIndex, timeArr, highArr, strongHighPoints) โ€ƒโ€ƒunshift strong high data to array id โ€ƒโ€ƒNamespace types: array โ€ƒโ€ƒParameters: โ€ƒโ€ƒโ€ƒโ€ƒ id (array) โ€ƒโ€ƒโ€ƒโ€ƒ startIndex (int) : the starting index for the timeArr array of the UDT "necessaryData". this point should start from at least 1 pivot prior to find the high before a downside BoS โ€ƒโ€ƒโ€ƒโ€ƒ timeArr (array) : array of historical times โ€ƒโ€ƒโ€ƒโ€ƒ highArr (array) : array of historical highs โ€ƒโ€ƒโ€ƒโ€ƒ strongHighPoints (array) โ€ƒโ€ƒReturns: void equalLevels(highArr, lowArr, timeArr, rightCoordinate, equalHighsCol, equalLowsCol, liteMode) โ€ƒโ€ƒused to calculate recent equal highs or equal lows โ€ƒโ€ƒParameters: โ€ƒโ€ƒโ€ƒโ€ƒ highArr (array) : array of historical highs โ€ƒโ€ƒโ€ƒโ€ƒ lowArr (array) : array of historical lows โ€ƒโ€ƒโ€ƒโ€ƒ timeArr (array) : array of historical times โ€ƒโ€ƒโ€ƒโ€ƒ rightCoordinate (int) : a future time (right for boxes, x2 for lines) โ€ƒโ€ƒโ€ƒโ€ƒ equalHighsCol (color) : user-selected color for equal highs drawings โ€ƒโ€ƒโ€ƒโ€ƒ equalLowsCol (color) : user-selected color for equal lows drawings โ€ƒโ€ƒโ€ƒโ€ƒ liteMode (bool) : optional for a lite mode version of an ICT strategy. For more control over drawings leave as "True", "False" will apply neon effects โ€ƒโ€ƒReturns: void quickTime(timeString) โ€ƒโ€ƒused to quickly determine if a user-inputted time range is currently active in NYT time โ€ƒโ€ƒParameters: โ€ƒโ€ƒโ€ƒโ€ƒ timeString (string) : a time range โ€ƒโ€ƒReturns: true if session is active, false if session is inactive macros(showMacros, noBorders) โ€ƒโ€ƒused to calculate and draw session macros โ€ƒโ€ƒParameters: โ€ƒโ€ƒโ€ƒโ€ƒ showMacros (bool) : an input.bool() or simple bool to determine whether to activate the function โ€ƒโ€ƒโ€ƒโ€ƒ noBorders (bool) : an input.bool() to determine whether the box anchored to the session should have borders โ€ƒโ€ƒReturns: void po3(tf, left, right, show) โ€ƒโ€ƒuse to calculate HTF po3 candle @tip only call this function on "barstate.islast" โ€ƒโ€ƒParameters: โ€ƒโ€ƒโ€ƒโ€ƒ tf (simple string) โ€ƒโ€ƒโ€ƒโ€ƒ left (int) : the left point of the candle, calculated as bar_index + left, โ€ƒโ€ƒโ€ƒโ€ƒ right (int) : :the right point of the candle, calculated as bar_index + right, โ€ƒโ€ƒโ€ƒโ€ƒ show (bool) : input.bool() whether to show the po3 candle or not โ€ƒโ€ƒReturns: void silverBullet(silverBulletStratLong, silverBulletStratShort, future, userTF, H, L, H2, L2, noBorders, silverBulletLongTP, historicalPoints, historicalData, silverBulletLongSL, silverBulletShortTP, silverBulletShortSL) โ€ƒโ€ƒused to execute the Silver Bullet Strategy โ€ƒโ€ƒParameters: โ€ƒโ€ƒโ€ƒโ€ƒ silverBulletStratLong (simple bool) โ€ƒโ€ƒโ€ƒโ€ƒ silverBulletStratShort (simple bool) โ€ƒโ€ƒโ€ƒโ€ƒ future (int) : a future time, used for drawings, example "last_bar_time" โ€ƒโ€ƒโ€ƒโ€ƒ userTF (simple int) โ€ƒโ€ƒโ€ƒโ€ƒ H (float) : the high price of the user-selected TF โ€ƒโ€ƒโ€ƒโ€ƒ L (float) : the low price of the user-selected TF โ€ƒโ€ƒโ€ƒโ€ƒ H2 (float) : the high price of the user-selected TF โ€ƒโ€ƒโ€ƒโ€ƒ L2 (float) : the low price of the user-selected TF โ€ƒโ€ƒโ€ƒโ€ƒ noBorders (bool) : an input.bool() used to remove the borders from box drawings โ€ƒโ€ƒโ€ƒโ€ƒ silverBulletLongTP (series silverBulletLevels) โ€ƒโ€ƒโ€ƒโ€ƒ historicalPoints (array) โ€ƒโ€ƒโ€ƒโ€ƒ historicalData (necessaryData) โ€ƒโ€ƒโ€ƒโ€ƒ silverBulletLongSL (series silverBulletLevels) โ€ƒโ€ƒโ€ƒโ€ƒ silverBulletShortTP (series silverBulletLevels) โ€ƒโ€ƒโ€ƒโ€ƒ silverBulletShortSL (series silverBulletLevels) โ€ƒโ€ƒReturns: void method invalidFVGcheck(FVGarr, upFVGpricesSorted, dnFVGpricesSorted) โ€ƒโ€ƒcheck if existing FVGs are still valid โ€ƒโ€ƒNamespace types: array โ€ƒโ€ƒParameters: โ€ƒโ€ƒโ€ƒโ€ƒ FVGarr (array) โ€ƒโ€ƒโ€ƒโ€ƒ upFVGpricesSorted (array) : an array of bullish FVG prices, used to selective search through FVG array to remove invalidated levels โ€ƒโ€ƒโ€ƒโ€ƒ dnFVGpricesSorted (array) : an array of bearish FVG prices, used to selective search through FVG array to remove invalidated levels โ€ƒโ€ƒReturns: void (0) method drawFVG(counter, FVGshow, FVGname, FVGcol, data, masterCoords, labelLevels, borderTransp, liteMode, rightCoordinate) โ€ƒโ€ƒdraws FVGs on last bar โ€ƒโ€ƒNamespace types: map โ€ƒโ€ƒParameters: โ€ƒโ€ƒโ€ƒโ€ƒ counter (map) : a counter, as map, keeping count of the number of FVGs drawn, makes sure that there aren't more FVGs drawn than int FVGshow โ€ƒโ€ƒโ€ƒโ€ƒ FVGshow (int) : the number of FVGs to show. There should be a bullish FVG show and bearish FVG show. This function "drawFVG" is used separately for bearish FVG and bullish FVG. โ€ƒโ€ƒโ€ƒโ€ƒ FVGname (string) : the name of the FVG, "FVG Up" or "FVG Down" โ€ƒโ€ƒโ€ƒโ€ƒ FVGcol (color) : desired FVG color โ€ƒโ€ƒโ€ƒโ€ƒ data (FVG) โ€ƒโ€ƒโ€ƒโ€ƒ masterCoords (map) : a map containing the names and price points of key levels. Used to define price ranges. โ€ƒโ€ƒโ€ƒโ€ƒ labelLevels (string) : an input.string with options "Inside", "Outside", "Remove". Determines whether FVG labels should be inside box, outside, or na. โ€ƒโ€ƒโ€ƒโ€ƒ borderTransp (int) โ€ƒโ€ƒโ€ƒโ€ƒ liteMode (bool) โ€ƒโ€ƒโ€ƒโ€ƒ rightCoordinate (int) : the right coordinate of any drawings. Must be a time point. โ€ƒโ€ƒReturns: void invalidBlockCheck(bullishOBbox, bearishOBbox, userTF) โ€ƒโ€ƒcheck if existing order blocks are still valid โ€ƒโ€ƒParameters: โ€ƒโ€ƒโ€ƒโ€ƒ bullishOBbox (array) : an array declared using the UDT orderBlock that contains bullish order block related data โ€ƒโ€ƒโ€ƒโ€ƒ bearishOBbox (array) : an array declared using the UDT orderBlock that contains bearish order block related data โ€ƒโ€ƒโ€ƒโ€ƒ userTF (simple int) โ€ƒโ€ƒReturns: void (0) method lastBarRejections(id, rejectionColor, idShow, rejectionString, labelLevels, borderTransp, liteMode, rightCoordinate, masterCoords) โ€ƒโ€ƒdraws rejectionBlocks on last bar โ€ƒโ€ƒNamespace types: array โ€ƒโ€ƒParameters: โ€ƒโ€ƒโ€ƒโ€ƒ id (array) : the array, an array of rejection block data declared using the UDT rejection block โ€ƒโ€ƒโ€ƒโ€ƒ rejectionColor (color) : the desired color of the rejection box โ€ƒโ€ƒโ€ƒโ€ƒ idShow (int) โ€ƒโ€ƒโ€ƒโ€ƒ rejectionString (string) : the desired name of the rejection blocks โ€ƒโ€ƒโ€ƒโ€ƒ labelLevels (string) : an input.string() to determine if labels for the block should be inside the box, outside, or none. โ€ƒโ€ƒโ€ƒโ€ƒ borderTransp (int) โ€ƒโ€ƒโ€ƒโ€ƒ liteMode (bool) : an input.bool(). True = neon effect, false = no neon. โ€ƒโ€ƒโ€ƒโ€ƒ rightCoordinate (int) : atime for the right coordinate of the box โ€ƒโ€ƒโ€ƒโ€ƒ masterCoords (map) : a map that stores the price of key levels and assigns them a name, used to determine price ranges โ€ƒโ€ƒReturns: void method OBdraw(id, OBshow, BBshow, OBcol, BBcol, bullishString, bearishString, isBullish, labelLevels, borderTransp, liteMode, rightCoordinate, masterCoords) โ€ƒโ€ƒdraws orderblocks and breaker blocks for data stored in UDT array() โ€ƒโ€ƒNamespace types: array โ€ƒโ€ƒParameters: โ€ƒโ€ƒโ€ƒโ€ƒ id (array) : the array, an array of order block data declared using the UDT orderblock โ€ƒโ€ƒโ€ƒโ€ƒ OBshow (int) : the number of order blocks to show โ€ƒโ€ƒโ€ƒโ€ƒ BBshow (int) : the number of breaker blocks to show โ€ƒโ€ƒโ€ƒโ€ƒ OBcol (color) : color of order blocks โ€ƒโ€ƒโ€ƒโ€ƒ BBcol (color) : color of breaker blocks โ€ƒโ€ƒโ€ƒโ€ƒ bullishString (string) : the title of bullish blocks, which is a regular bullish orderblock or a bearish orderblock that's converted to breakerblock โ€ƒโ€ƒโ€ƒโ€ƒ bearishString (string) : the title of bearish blocks, which is a regular bearish orderblock or a bullish orderblock that's converted to breakerblock โ€ƒโ€ƒโ€ƒโ€ƒ isBullish (bool) : whether the array contains bullish orderblocks or bearish orderblocks. If bullish orderblocks, the array will naturally contain bearish BB, and if bearish OB, the array will naturally contain bullish BB โ€ƒโ€ƒโ€ƒโ€ƒ labelLevels (string) : an input.string() to determine if labels for the block should be inside the box, outside, or none. โ€ƒโ€ƒโ€ƒโ€ƒ borderTransp (int) โ€ƒโ€ƒโ€ƒโ€ƒ liteMode (bool) : an input.bool(). True = neon effect, false = no neon. โ€ƒโ€ƒโ€ƒโ€ƒ rightCoordinate (int) : atime for the right coordinate of the box โ€ƒโ€ƒโ€ƒโ€ƒ masterCoords (map) : a map that stores the price of key levels and assigns them a name, used to determine price ranges โ€ƒโ€ƒReturns: void FVG โ€ƒโ€ƒUDT for FVG calcualtions โ€ƒโ€ƒFields: โ€ƒโ€ƒโ€ƒโ€ƒ H (series float) : high price of user-selected timeframe โ€ƒโ€ƒโ€ƒโ€ƒ L (series float) : low price of user-selected timeframe โ€ƒโ€ƒโ€ƒโ€ƒ direction (series string) : FVG direction => "Up" or "Down" โ€ƒโ€ƒโ€ƒโ€ƒ T (series int) : => time of bar on user-selected timeframe where FVG was created โ€ƒโ€ƒโ€ƒโ€ƒ fvgLabel (series label) : optional label for FVG โ€ƒโ€ƒโ€ƒโ€ƒ fvgLineTop (series line) : optional line for top of FVG โ€ƒโ€ƒโ€ƒโ€ƒ fvgLineBot (series line) : optional line for bottom of FVG โ€ƒโ€ƒโ€ƒโ€ƒ fvgBox (series box) : optional box for FVG labelLine โ€ƒโ€ƒquickly pair a line and label together as UDT โ€ƒโ€ƒFields: โ€ƒโ€ƒโ€ƒโ€ƒ lin (series line) : Line you wish to pair with label โ€ƒโ€ƒโ€ƒโ€ƒ lab (series label) : Label you wish to pair with line orderBlock โ€ƒโ€ƒUDT for order block calculations โ€ƒโ€ƒFields: โ€ƒโ€ƒโ€ƒโ€ƒ orderBlockData (array) : array containing order block x and y points โ€ƒโ€ƒโ€ƒโ€ƒ orderBlockBox (series box) : optional order block box โ€ƒโ€ƒโ€ƒโ€ƒ vioCount (series int) : = 0 violation count of the order block. 0 = Order Block, 1 = Breaker Block โ€ƒโ€ƒโ€ƒโ€ƒ traded (series bool) โ€ƒโ€ƒโ€ƒโ€ƒ status (series string) : = "OB" status == "OB" => Level is order block. status == "BB" => Level is breaker block. โ€ƒโ€ƒโ€ƒโ€ƒ orderBlockLab (series label) : options label for the order block / breaker block. strongPoints โ€ƒโ€ƒUDT for strong highs and strong lows โ€ƒโ€ƒFields: โ€ƒโ€ƒโ€ƒโ€ƒ price (series float) : price of the strong high or strong low โ€ƒโ€ƒโ€ƒโ€ƒ timeAtprice (series int) : time of the strong high or strong low โ€ƒโ€ƒโ€ƒโ€ƒ strongPointLabel (series label) : optional label for strong point โ€ƒโ€ƒโ€ƒโ€ƒ strongPointLine (series line) : optional line for strong point โ€ƒโ€ƒโ€ƒโ€ƒ overlayLine (series line) : optional lines for strong point to enhance visibility โ€ƒโ€ƒโ€ƒโ€ƒ overlayLine2 (series line) : optional lines for strong point to enhance visibility displacement โ€ƒโ€ƒUDT for dispacements โ€ƒโ€ƒFields: โ€ƒโ€ƒโ€ƒโ€ƒ highPrice (series float) : high price of displacement โ€ƒโ€ƒโ€ƒโ€ƒ lowPrice (series float) : low price of displacement โ€ƒโ€ƒโ€ƒโ€ƒ timeAtPrice (series int) : time of bar where displacement occurred โ€ƒโ€ƒโ€ƒโ€ƒ displacementBox (series box) : optional box to draw displacement โ€ƒโ€ƒโ€ƒโ€ƒ displacementLab (series label) : optional label for displacement po3data โ€ƒโ€ƒUDT for po3 calculations โ€ƒโ€ƒFields: โ€ƒโ€ƒโ€ƒโ€ƒ dHigh (series float) : higher timeframe high price โ€ƒโ€ƒโ€ƒโ€ƒ dLow (series float) : higher timeframe low price โ€ƒโ€ƒโ€ƒโ€ƒ dOpen (series float) : higher timeframe open price โ€ƒโ€ƒโ€ƒโ€ƒ dClose (series float) : higher timeframe close price โ€ƒโ€ƒโ€ƒโ€ƒ po3box (series box) : box to draw po3 candle body โ€ƒโ€ƒโ€ƒโ€ƒ po3line (array) : line array to draw po3 wicks โ€ƒโ€ƒโ€ƒโ€ƒ po3Labels (array) : label array to label price points of po3 candle macros โ€ƒโ€ƒUDT for session macros โ€ƒโ€ƒFields: โ€ƒโ€ƒโ€ƒโ€ƒ sessions (array) : Array of sessions, you can populate this array using the "quickTime" function located above "export macros". โ€ƒโ€ƒโ€ƒโ€ƒ prices (matrix) : Matrix of session data -> open, high, low, close, time โ€ƒโ€ƒโ€ƒโ€ƒ sessionTimes (array) : Array of session names. Pairs with array sessions. โ€ƒโ€ƒโ€ƒโ€ƒ sessionLines (matrix) : Optional array for sesion drawings. OTEtimes โ€ƒโ€ƒUDT for data storage and drawings associated with OTE strategy โ€ƒโ€ƒFields: โ€ƒโ€ƒโ€ƒโ€ƒ upTimes (array) : time of highest point before trade is taken โ€ƒโ€ƒโ€ƒโ€ƒ dnTimes (array) : time of lowest point before trade is taken โ€ƒโ€ƒโ€ƒโ€ƒ tpLineLong (series line) : line to mark tp level long โ€ƒโ€ƒโ€ƒโ€ƒ tpLabelLong (series label) : label to mark tp level long โ€ƒโ€ƒโ€ƒโ€ƒ slLineLong (series line) : line to mark sl level long โ€ƒโ€ƒโ€ƒโ€ƒ slLabelLong (series label) : label to mark sl level long โ€ƒโ€ƒโ€ƒโ€ƒ tpLineShort (series line) : line to mark tp level short โ€ƒโ€ƒโ€ƒโ€ƒ tpLabelShort (series label) : label to mark tp level short โ€ƒโ€ƒโ€ƒโ€ƒ slLineShort (series line) : line to mark sl level short โ€ƒโ€ƒโ€ƒโ€ƒ slLabelShort (series label) : label to mark sl level short sweeps โ€ƒโ€ƒUDT for data storage and drawings associated with liquidity sweeps โ€ƒโ€ƒFields: โ€ƒโ€ƒโ€ƒโ€ƒ upSweeps (matrix) : matrix containing liquidity sweep price points and time points for up sweeps โ€ƒโ€ƒโ€ƒโ€ƒ dnSweeps (matrix) : matrix containing liquidity sweep price points and time points for down sweeps โ€ƒโ€ƒโ€ƒโ€ƒ upSweepDrawings (array) : optional up sweep box array. Pair the size of this array with the rows or columns, โ€ƒโ€ƒโ€ƒโ€ƒ dnSweepDrawings (array) : optional up sweep box array. Pair the size of this array with the rows or columns, raidExitDrawings โ€ƒโ€ƒUDT for drawings associated with the Liquidity Raid Strategy โ€ƒโ€ƒFields: โ€ƒโ€ƒโ€ƒโ€ƒ tpLine (series line) : tp line for the liquidity raid entry โ€ƒโ€ƒโ€ƒโ€ƒ tpLabel (series label) : tp label for the liquidity raid entry โ€ƒโ€ƒโ€ƒโ€ƒ slLine (series line) : sl line for the liquidity raid entry โ€ƒโ€ƒโ€ƒโ€ƒ slLabel (series label) : sl label for the liquidity raid entry m2022 โ€ƒโ€ƒUDT for data storage and drawings associated with the Model 2022 Strategy โ€ƒโ€ƒFields: โ€ƒโ€ƒโ€ƒโ€ƒ mTime (series int) : time of the FVG where entry limit order is placed โ€ƒโ€ƒโ€ƒโ€ƒ mIndex (series int) : array index of FVG where entry limit order is placed. This requires an array of FVG data, which is defined above. โ€ƒโ€ƒโ€ƒโ€ƒ mEntryDistance (series float) : the distance of the FVG to the 50% range. M2022 looks for the fvg closest to 50% mark of range. โ€ƒโ€ƒโ€ƒโ€ƒ mEntry (series float) : the entry price for the most eligible fvg โ€ƒโ€ƒโ€ƒโ€ƒ fvgHigh (series float) : the high point of the eligible fvg โ€ƒโ€ƒโ€ƒโ€ƒ fvgLow (series float) : the low point of the eligible fvg โ€ƒโ€ƒโ€ƒโ€ƒ longFVGentryBox (series box) : long FVG box, used to draw the eligible FVG โ€ƒโ€ƒโ€ƒโ€ƒ shortFVGentryBox (series box) : short FVG box, used to draw the eligible FVG โ€ƒโ€ƒโ€ƒโ€ƒ line50P (series line) : line used to mark 50% of the range โ€ƒโ€ƒโ€ƒโ€ƒ line100P (series line) : line used to mark 100% (top) of the range โ€ƒโ€ƒโ€ƒโ€ƒ line0P (series line) : line used to mark 0% (bottom) of the range โ€ƒโ€ƒโ€ƒโ€ƒ label50P (series label) : label used to mark 50% of the range โ€ƒโ€ƒโ€ƒโ€ƒ label100P (series label) : label used to mark 100% (top) of the range โ€ƒโ€ƒโ€ƒโ€ƒ label0P (series label) : label used to mark 0% (bottom) of the range โ€ƒโ€ƒโ€ƒโ€ƒ sweepData (array) silverBullet โ€ƒโ€ƒUDT for data storage and drawings associated with the Silver Bullet Strategy โ€ƒโ€ƒFields: โ€ƒโ€ƒโ€ƒโ€ƒ session (series bool) โ€ƒโ€ƒโ€ƒโ€ƒ sessionStr (series string) : name of the session for silver bullet โ€ƒโ€ƒโ€ƒโ€ƒ sessionBias (series string) โ€ƒโ€ƒโ€ƒโ€ƒ sessionHigh (series float) : = high high of session // use math.max(silverBullet.sessionHigh, high) โ€ƒโ€ƒโ€ƒโ€ƒ sessionLow (series float) : = low low of session // use math.min(silverBullet.sessionLow, low) โ€ƒโ€ƒโ€ƒโ€ƒ sessionFVG (series float) : if applicable, the FVG created during the session โ€ƒโ€ƒโ€ƒโ€ƒ sessionFVGdraw (series box) : if applicable, draw the FVG created during the session โ€ƒโ€ƒโ€ƒโ€ƒ traded (series bool) โ€ƒโ€ƒโ€ƒโ€ƒ tp (series float) : tp of trade entered at the session FVG โ€ƒโ€ƒโ€ƒโ€ƒ sl (series float) : sl of trade entered at the session FVG โ€ƒโ€ƒโ€ƒโ€ƒ sessionDraw (series box) : optional draw session with box โ€ƒโ€ƒโ€ƒโ€ƒ sessionDrawLabel (series label) : optional label session with label silverBulletDrawings โ€ƒโ€ƒUDT for trade exit drawings associated with the Silver Bullet Strategy โ€ƒโ€ƒFields: โ€ƒโ€ƒโ€ƒโ€ƒ tpLine (series line) : tp line drawing for strategy โ€ƒโ€ƒโ€ƒโ€ƒ tpLabel (series label) : tp label drawing for strategy โ€ƒโ€ƒโ€ƒโ€ƒ slLine (series line) : sl line drawing for strategy โ€ƒโ€ƒโ€ƒโ€ƒ slLabel (series label) : sl label drawing for strategy unicornModel โ€ƒโ€ƒUDT for data storage and drawings associated with the Unicorn Model Strategy โ€ƒโ€ƒFields: โ€ƒโ€ƒโ€ƒโ€ƒ hPoint (chart.point) โ€ƒโ€ƒโ€ƒโ€ƒ hPoint2 (chart.point) โ€ƒโ€ƒโ€ƒโ€ƒ hPoint3 (chart.point) โ€ƒโ€ƒโ€ƒโ€ƒ breakerBlock (series box) : used to draw the breaker block required for the Unicorn Model โ€ƒโ€ƒโ€ƒโ€ƒ FVG (series box) : used to draw the FVG required for the Unicorn model โ€ƒโ€ƒโ€ƒโ€ƒ topBlock (series float) : price of top of breaker block, can be used to detail trade entry โ€ƒโ€ƒโ€ƒโ€ƒ botBlock (series float) : price of bottom of breaker block, can be used to detail trade entry โ€ƒโ€ƒโ€ƒโ€ƒ startBlock (series int) : start time of the breaker block, used to set the "left = " param for the box โ€ƒโ€ƒโ€ƒโ€ƒ includes (array) : used to store the time of the breaker block, or FVG, or the chart point sequence that setup the Unicorn Model. โ€ƒโ€ƒโ€ƒโ€ƒ entry (series float) : // eligible entry price, for longs"math.max(topBlock, FVG.get_top())", โ€ƒโ€ƒโ€ƒโ€ƒ tpLine (series line) : optional line to mark PT โ€ƒโ€ƒโ€ƒโ€ƒ tpLabel (series label) : optional label to mark PT โ€ƒโ€ƒโ€ƒโ€ƒ slLine (series line) : optional line to mark SL โ€ƒโ€ƒโ€ƒโ€ƒ slLabel (series label) : optional label to mark SL rejectionBlocks โ€ƒโ€ƒUDT for data storage and drawings associated with rejection blocks โ€ƒโ€ƒFields: โ€ƒโ€ƒโ€ƒโ€ƒ rejectionPoint (chart.point) โ€ƒโ€ƒโ€ƒโ€ƒ bodyPrice (series float) : candle body price closest to the rejection point, for "Up" rejections => math.max(open, close), โ€ƒโ€ƒโ€ƒโ€ƒ rejectionBox (series box) : optional box drawing of the rejection block โ€ƒโ€ƒโ€ƒโ€ƒ rejectionLabel (series label) : optional label for the rejection block equalLevelsDraw โ€ƒโ€ƒUDT for data storage and drawings associated with equal highs / equal lows โ€ƒโ€ƒFields: โ€ƒโ€ƒโ€ƒโ€ƒ connector (series line) : single line placed at the first high or low, y = avgerage of distinguished equal highs/lows โ€ƒโ€ƒโ€ƒโ€ƒ connectorLab (series label) : optional label to be placed at the highs or lows โ€ƒโ€ƒโ€ƒโ€ƒ levels (array) : array containing the equal highs or lows prices โ€ƒโ€ƒโ€ƒโ€ƒ times (array) : array containing the equal highs or lows individual times โ€ƒโ€ƒโ€ƒโ€ƒ startTime (series int) : the time of the first high or low that forms a sequence of equal highs or lows โ€ƒโ€ƒโ€ƒโ€ƒ radiate (array) : options label to "radiate" the label in connector lab. Can be used for anything necessaryData โ€ƒโ€ƒUDT for data storage of historical price points. โ€ƒโ€ƒFields: โ€ƒโ€ƒโ€ƒโ€ƒ highArr (array) : array containing historical high points โ€ƒโ€ƒโ€ƒโ€ƒ lowArr (array) : array containing historical low points โ€ƒโ€ƒโ€ƒโ€ƒ timeArr (array) : array containing historical time points โ€ƒโ€ƒโ€ƒโ€ƒ logArr (array) : array containing historical log returns โ€ƒโ€ƒโ€ƒโ€ƒ signArr (array) : array containing historical price directions โ€ƒโ€ƒโ€ƒโ€ƒ closeArr (array) : array containing historical close points โ€ƒโ€ƒโ€ƒโ€ƒ binaryTimeArr (array) : array containing historical time points, uses "push" instead of "unshift" to allow for binary search โ€ƒโ€ƒโ€ƒโ€ƒ binaryCloseArr (array) : array containing historical close points, uses "push" instead of "unshift" to allow the correct โ€ƒโ€ƒโ€ƒโ€ƒ binaryOpenArr (array) : array containing historical optn points, uses "push" instead of "unshift" to allow the correct โ€ƒโ€ƒโ€ƒโ€ƒ atrTFarr (array) : array containing historical user-selected TF atr points โ€ƒโ€ƒโ€ƒโ€ƒ openArr (array) : array containing historical open points
Perpustakaan Pine Scriptยฎ
oleh Trading-IQ
1
XAUUSD Multi-Timeframe Trend AnalyzerOverview The "XAUUSD Multi-Timeframe Trend Analyzer" is an advanced script designed to provide a comprehensive analysis of the XAUUSD (Gold/US Dollar) trend across multiple timeframes simultaneously. By combining several key technical indicators, this tool helps traders quickly assess the market direction and trend strength for M15, M30, H1, H4, and D1 timeframes. Multi-Timeframe Analysis: Displays the trend direction and strength across M15, M30, H1, H4, and D1 timeframes, allowing for a complete overview in a single glance. Comprehensive Indicator Blend: Utilizes six popular technical indicators to determine the trendโ€”Moving Averages, RSI, MACD, Bollinger Bands, DMI, and Parabolic SAR. Trend Strength Scoring: Provides a numerical trend strength score (from -6 to 6) based on the alignment of the indicators, with positive values indicating uptrends and negative values for downtrends. Visual Table Display: Displays results in a color-coded table (green for uptrend, red for downtrend, yellow for neutral) with a strength score for each timeframe, helping traders quickly assess market conditions. How It Works This script calculates the overall trend and its strength for each selected timeframe by analyzing six widely-used technical indicators: Moving Averages (MA): The script uses a Fast and a Slow Moving Average. When the Fast MA crosses above the Slow MA, it indicates an uptrend. When the Fast MA crosses below, it signals a downtrend. Relative Strength Index (RSI): The RSI is used to assess momentum. An RSI value above 50 suggests bullish momentum, while a value below 50 suggests bearish momentum. Moving Average Convergence Divergence (MACD): MACD measures momentum and trend direction. When the MACD line crosses above the signal line, it signals bullish momentum; when it crosses below, it signals bearish momentum. Bollinger Bands: These measure price volatility. When the price is above the middle Bollinger Band, the script considers the trend to be bullish, and when it's below, bearish. Directional Movement Index (DMI): The DMI compares positive directional movement (DI+) and negative directional movement (DI-). A stronger DI+ over DI- signals an uptrend and vice versa. Parabolic SAR: This indicator is used for determining potential trend reversals and setting stop-loss levels. If the price is above the Parabolic SAR, it indicates an uptrend, and if below, a downtrend. Trend Strength Calculation The script calculates a trend strength score for each timeframe: Each indicator adds or subtracts 1 to the score based on whether it aligns with an uptrend or a downtrend. A score of 6 indicates a Strong Uptrend, with all indicators aligned bullishly. A score of -6 indicates a Strong Downtrend, with all indicators aligned bearishly. Intermediate scores (e.g., 2 or -2) indicate Weak Uptrend or Weak Downtrend, suggesting that not all indicators are in agreement. A score between 1 and -1 indicates a Neutral trend, suggesting uncertainty in the market. How to Use Assess Trend Direction and Strength: The table provides an easy-to-read summary of the trend and its strength on different timeframes. Look for timeframes where the strength is high (either 6 for a strong uptrend or -6 for a strong downtrend) to confirm the marketโ€™s overall direction. Use in Conjunction with Other Strategies: This indicator is designed to provide a comprehensive view of the market. Traders should combine it with other strategies, such as price action analysis or candlestick patterns, to further confirm their trades. Trend Reversal or Continuation: A weak trend (e.g., a strength of 2 or -2) could signal a possible reversal or a trend that has lost momentum. Strong trends (with a strength of 6 or -6) indicate higher confidence in trend continuation. Multiple Timeframe Confirmation: Look for alignment across multiple timeframes to confirm the strength and direction of the trend before entering trades. For example, if M15, M30, and H1 are all showing a strong uptrend, it suggests a higher probability of the trend continuing. Customization Options - Adjustable Indicators: Users can modify the length and parameters of the Moving Averages, RSI, MACD, Bollinger Bands, DMI, and Parabolic SAR to suit their trading style. - Flexible Timeframes: You can toggle between different timeframes (M15, M30, H1, H4, D1) to focus on the intervals most relevant to your strategy. Ideal For - Traders looking for a detailed, multi-timeframe trend analysis tool for XAUUSD. - Traders who rely on trend-following strategies and need confirmation across multiple timeframes. - Those who prefer a multi-indicator approach to avoid false signals and improve the accuracy of their trades. Disclaimer This indicator is for informational and educational purposes only. It is recommended to combine this with proper risk management strategies and your own analysis. Past performance does not guarantee future results. Always perform your own due diligence before making trading decisions.
Penunjuk Pine Scriptยฎ
oleh LexAurum
3
Gabriel's Cyclic Smoothed RSI [Enhanced]Overview Gabriel's Cyclic Smoothed RSI (short title: cRSI ) is a sophisticated technical indicator developed to provide traders with deeper insights into market rhythms and price momentum. Building upon the traditional Relative Strength Index (RSI), this enhanced version incorporates dynamic cycle analysis, divergence detection, and optional stochastic oscillators to deliver a more nuanced understanding of market conditions. Key Features Cyclic Smoothed RSI (cRSI): Adaptive Momentum: The cRSI adapts to the dominant market cycle, providing a smoothed RSI that reacts dynamically to price changes. Ultra-Smooth & Zero-Lag: Designed to minimize lag, ensuring timely signals that closely follow price movements. Accurate Divergence Detection: Identifies both regular and hidden bullish/bearish divergences, enhancing signal reliability. Dynamic Overbought/Oversold Bands: Customizable Thresholds: Set dynamic overbought and oversold levels based on market rhythm analysis. Adaptive Bands: Bands adjust according to the dominant cycle, offering a more accurate representation of market extremes. Stochastic cRSI & KDJ Oscillator (Optional): Enhanced Oscillators: Incorporate stochastic and KDJ oscillators for additional momentum analysis. Ribbon Displays: Visual ribbons provide clarity on oscillator trends and potential reversal points. Divergence Detection: Regular & Hidden Divergences: Detects both regular and hidden bullish/bearish divergences to anticipate potential trend reversals. Customizable Lookback: Adjust pivot lookback periods to fine-tune divergence sensitivity. Visual Enhancements: Triangles & Labels: Visual signals in the form of triangles and labels indicate buy/sell opportunities and divergence events. Bar Coloring: Option to color bars based on signal strength, providing immediate visual cues. Alert Conditions: Custom Alerts: Set up alerts for various signal types, including strong buy/sell signals and divergence events, ensuring you never miss critical market movements. Input Settings cRSI Settings Source: Select the data source for calculations (e.g., Close, Open, High, Low, HLC3, OHLC4). Dominant Cycle Length: Define the dominant market cycle length based on rhythm analysis. Vibration: Adjusts the sensitivity of the cRSI to price changes. Leveling %: Determines the percentage level for dynamic band adjustments. Show cRSI Plot: Toggle the display of the cRSI line. Show Cyclic Smoothed Bands: Toggle the display of dynamic overbought and oversold bands. Show Trend Fill: Enable or disable the trend fill cloud between upper and lower bands. MA Settings MA Type: Choose the type of Moving Average (SMA, Bollinger Bands, EMA, SMMA (RMA), WMA, VWMA) to smooth the cRSI. MA Length: Set the length of the Moving Average. BB StdDev: Define the standard deviation multiplier for Bollinger Bands. Show cRSI-based MA: Toggle the display of the cRSI-based Moving Average line. Stochastic Settings Show Stochastic cRSI: Enable the stochastic oscillator based on cRSI. Ribbon: Enable ribbon display for the Stochastic oscillator. Show KDJ: Toggle the display of the KDJ oscillator. KDJ Ribbon: Enable ribbon display for the KDJ oscillator. Stochastic Length: Set the length for the Stochastic calculation. %K Smoothing: Define the smoothing period for %K. %D Smoothing: Define the smoothing period for %D. Stoch Scaling %: Adjusts the vertical scaling of the stochastic to prevent distortion. Overbought/Oversold Settings Overbought: Set the Overbought threshold for the cRSI. OB Extreme: Define the Extreme Overbought threshold for the Stochastic cRSI. Oversold: Set the Oversold threshold for the cRSI. OS Extreme: Define the Extreme Oversold threshold for the Stochastic cRSI. Divergence Settings Pivot Lookback Right: Number of bars to the right of the pivot for divergence detection. Pivot Lookback Left: Number of bars to the left of the pivot for divergence detection. Max of Lookback Range: Maximum number of bars to look back for divergence detection. Min of Lookback Range: Minimum number of bars to look back for divergence detection. Plot Bullish: Enable plotting of bullish divergence signals. Plot Hidden Bullish: Enable plotting of hidden bullish divergence signals. Plot Bearish: Enable plotting of bearish divergence signals. Plot Hidden Bearish: Enable plotting of hidden bearish divergence signals. Delay Plot Until Candle is Closed: Prevents repainting by delaying the plotting of divergence signals until the candle is fully closed.
Penunjuk Pine Scriptยฎ
oleh GabrielAmadeusLau
1