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在腳本中搜尋"volume profile"

Range Sentiment Profile [LuxAlgo]The Range Sentiment Profile indicator is inspired from the volume profile and aims to indicate the degree of bullish/bearish variations within equidistant price areas inside the most recent price range. The most bullish/bearish price areas are highlighted through lines extending over the entire range. 🔶 SETTINGS Length: Most recent bars used for the calculation of the indicator. Rows: Number of price areas the price range is divided into. Use Intrabar: Use intrabar data to compute the range sentiment profile. Timeframe: Intrabar data timeframe. 🔶 USAGE This tool can be used to easily determine if a certain price area contain more significant bullish or bearish price variations. This is done by obtaining an estimate of the accumulation of all the close to open variations occurring within a specific profile area. A blue range background indicates a majority of bullish variations within each area while an orange background indicates a majority of bearish variations within each area. Users can easily identify the areas with the most bullish/bearish price variations by looking at the bullish/bearish maximums. It can be of interest to see where profile bins might have no length, these can indicate price areas with price variations with alternating signs (bullish variations are followed by a bearish sign) and similar body. They can also indicate a majority of either bullish or bearish variations alongside a minority of more significant opposite variations. These areas can also provide support/resistance, as such price entering these areas could reverse. Users can obtain more precise results by allowing the profile to use intrabar data. This will change the calculation of the profile, see the details section for more information. 🔶 DETAILS The Range Sentiment Profile's design is similar to the way a volume profile is constructed. First the maximum/minimum values over the most recent Length bars are obtained, these define the calculation range of the profile. The range is divided into Rows equidistant areas. We then see if price lied within a specific area, if it's the case we accumulate the difference between the closing and opening price for that specific area. Let d = close - open . The length of the bin associated to a specific area is determined as follows: length = Width / 100 * Area / Max Where Area is the accumulated d within the area, and Max the maximum value between the absolute value of each accumulated d of all areas. The percentage visible on each bin is determined as 100 multiplied by the accumulated d within the area divided by the total absolute value of d over the entire range. 🔹 Intrabar Calculation When using intrabar data the range sentiment profile is calculated differently. For a specific area and candle within the interval, the accumulated close to open difference is accumulated only if the intrabar candle of the user selected timeframe lies within the area. This can return more precise results compared to the standard method, at the cost of a higher computation time.
Pine Script®指標
由LuxAlgo提供
38
Price Map Profile [BigBeluga]An advanced volume-based tool designed to map out how trading activity is distributed across price levels. It combines dynamic volume profiling with structural pivot detection to highlight key levels of interest in the market — including hidden support/resistance zones and dominant liquidity areas. Unlike traditional volume profiles locked to fixed sessions, this indicator continuously processes historical bars to build a real-time "map" of volume distribution. It intelligently reveals where buyers and sellers were most active, helping traders pinpoint high-impact zones with clarity. 🔵 KEY FEATURES Creates a volume map profile by scanning price action over a defined lookback window (`length`). Divides price vertically into volume bins (default: 100) and aggregates either total volume or bar count per bin. Bins are plotted as horizontal zones extending to the right of the chart — wider offset means more volume at that price. Each zone is color-coded using gradients to represent volume magnitude: - Below average volume = cool tones (blue/teal) - Above average volume = warm tones (red/orange) The highest volume bin is highlighted with a red label showing the exact volume, helping to identify strong price agreement. Detects pivot highs and lows using a 15-bar swing method, marking them as potential S/R levels. If a pivot level is located inside a low-volume zone (volume < average), it is emphasized with a dashed line and label . Pivot line color matches direction: - High pivots = yellow - Low pivots = aqua The volume of the bin containing the pivot is shown alongside the pivot, providing volume context for the structural level. Filters out nearby duplicate pivots using ATR-based distance checks to ensure clean and non-redundant signals. 🔵 HOW TO USE Use the wide red zones as liquidity and consolidation areas where price may stall, reverse, or absorb volume. Pivot-based dashed lines within low-volume zones highlight hidden support/resistance levels where price may react sharply. Combine this indicator with trend or order flow tools to validate reversal or breakout setups . Switch between Volume and Frequency modes to adapt to the type of data your asset provides. 🔵 CONCLUSION The Price Map Profile transforms raw volume into an actionable visual map. By aligning volume depth with key market structure levels, it helps traders identify where market participants are most active — and where hidden inefficiencies lie. Ideal for traders seeking precision entries, dynamic S/R zones, and deeper volume structure insight.
Pine Script®指標
由BigBeluga提供
15
Dashboard MTF profile volume Indicator Description This indicator, titled "Swing Points and Liquidity & Profile Volume," combines multiple features to provide a comprehensive market analysis: Volume Profile: Displays buy and sell volumes across multiple timeframes (1 minute, 5 minutes, 15 minutes, 1 hour, 4 hours, 1 day). Volume Moving Averages: Plots two moving averages (short and long) to analyze volume trends. Dashboard: A summary dashboard shows buy and sell volumes for each timeframe, with distinct colors for better visualization. Swing Points: Identifies liquidity levels and swing points to help pinpoint key entry and exit zones. How to Use 1. Indicator Installation Go to TradingView. Open the Pine Script Editor. Copy and paste the provided code. Click on "Add to Chart." 2. Indicator Settings The indicator offers several customizable parameters: Display Volume (1 minute, 5 minutes, 15 minutes, 1 hour, 4 hours, 1 day): Enable or disable volume display for each timeframe. Short Moving Average Length (MA): Set the short moving average period (default: 5). Long Moving Average Length (MA): Set the long moving average period (default: 14). Dashboard Position: Choose where to display the dashboard (bottom-right, bottom-left, top-right, top-left). Text Color: Customize the text color in the dashboard. Text Size: Choose text size (small, normal, large). 3. Using the Indicator Volume Analysis The dashboard displays buy (Buy Volume) and sell (Sell Volume) volumes for each timeframe. Buy Volume: Volume of trades where the closing price is higher than the opening price (aggressive buying). Sell Volume: Volume of trades where the closing price is equal to or lower than the opening price (aggressive selling). Volumes are displayed in real-time and update with each new candle. Volume Moving Averages Two moving averages are plotted on the chart: MA Volume (Short): Short moving average (blue) to identify short-term volume trends. MA Volume (Long): Long moving average (red) to identify long-term volume trends. Use these moving averages to spot accumulation or distribution periods. Swing Points and Liquidity Swing points are identified based on price levels where volumes are highest. These levels can act as support/resistance zones or liquidity areas to plan entries and exits. Usage Guidelines 1. Entering a Position Buy (Long): When Buy Volume is significantly higher than Sell Volume across multiple timeframes. When the short moving average (blue) crosses above the long moving average (red). Sell (Short): When Sell Volume is significantly higher than Buy Volume across multiple timeframes. When the short moving average (blue) crosses below the long moving average (red). 2. Exiting a Position Use liquidity levels (swing points) to set profit targets or stop-loss levels. Monitor volume changes to anticipate trend reversals. 3. Risk Management Use stop-loss orders to limit losses. Avoid trading during low-volume periods to reduce false signals. Compliance with Trading View Guidelines Intellectual Property: The code is provided for educational and personal use. You may modify and use it but cannot resell or distribute it as your own work. Responsible Use: Trading View encourages responsible use of indicators. Test the indicator on a demo account before using it in live trading. Transparency: The code is fully transparent and can be reviewed in the Pine Script Editor. You may modify it to suit your needs. Practical Examples Scenario 1: Bullish Trend Buy Volume is high on 1-hour and 4-hour time frames. The short moving average (blue) is above the long moving average (red). Action: Open a long position (Buy) and set a stop-loss below the last swing low. Scenario 2: Bearish Trend Sell Volume is high on 1-hour and 4-hour time frames. The short moving average (blue) is below the long moving average (red). Action: Open a short position (Sell) and set a stop-loss above the last swing high.
Pine Script®指標
由SESE04提供
Wave Consolidation [LuxAlgo]The Wave Consolidation indicator uses market profiles to highlight consolidation zones based on upward and downward moves determined when a Higher-High or Lower-Low is created. Users can control the amount of consolidation zones to display and the sensitivity of the swing point detection used to return those zones. 🔶 USAGE These zones are intended as areas of interest to traders where price has seen historical interactions, which can be interpreted as support and resistance. By identifying these areas of interest before the price returns to them, traders are able to anticipate and prepare for various scenarios and respond dynamically to the behavior of the market, as seen below. Rejection: A quick move away from the zone may indicate that the area is either overvalued or undervalued, leading to a fast movement in the opposite direction. Breakthrough: Moving beyond a zone could indicate acceptance at that specific price, potentially signaling a shift in momentum or the start of a new trend. In a strong major trend, zones created from smaller trends could be used as price targets for taking profit and managing risk. Consolidation: Holding these zones might suggest a market in balance at these levels, this could lead to opportunities for range-bound trading. Below is an example of the Rejection and Consolidation scenarios described above. Note: By analyzing the tests and retests of these zones, traders can also gain further insight into where participants are interacting in the market. 🔶 DETAILS The full process for acquiring and managing these zones is described in the sub-sections below. 🔹 Creation By only considering market movements creating a higher-high or lower-low, we can identify meaningful, directional, moves which can then be used to calculate zones. Once a move is identified, the script calculates a volume profile spanning the length of the given move. The width of the zones is determined starting from the POC of the profile and expanding outwards until the value of the profile's row falls below the profile's average. Note: By increasing the "Multiplier" Input, Users can increase the threshold the script uses to determine zone width in multiples of Standard Deviations above the Average. While this area is similar to a VP Value Area, it is not intended to replicate a value zone. The calculation is not concerned with capturing any % of the total profile's volume within the zone and only analyzes based on a fixed inclusion threshold. 🔹 Management To keep clutter to a minimum, If a new zone overlaps a recently created zone, the zones are grouped as one. This is especially helpful in areas where prices are ranging, creating multiple zones in a very similar area. Zones before management: Zones after management: 🔹 Deletion Just because a zone is crossed, does not make it immediately unimportant! Once a Zone is mitigated (crossed in the opposite direction of its bias) it is reduced to a single dotted line representing the outer threshold for the zone. These lines are important to watch, as the price will often retest a break. For this reason, they will stay on the chart until the next swing point is detected when they will finally be deleted for good. Below is an example of activity around a broken zone before it is deleted. Below is the same example 2bBars later , once the new swing is confirmed, the dotted lines are deleted and new zones are created. Notice how the newly formed resistance zone is in the same area where we noticed sellers previously. 🔶 SETTINGS 🔹 Structure Display Structure: Determines if swing structures are displayed. Structure Length: Sets Length for structure identification. 🔹 Zones Volume-Based Calculations: Opt to use a "Volume" based Profile Calculation instead of the default "Price Action" based Calculation. Display Count: Sets the specific number of bullish and bearish zones to display on the chart. Multiplier: Sets the multiplier to use for the value cut-off for determining zone boundaries. 🔹 Style Display Average Lines: Toggles on/off the average (mid) lines for the zones.
Pine Script®指標
由LuxAlgo提供
18
Market Profile Visible RangeSup TV, 2 important points . 1) surprisingly, it's the first MP Visible Range script on TV; 2) This one doesn't use any bagging/binning*, instead each row represents the time spent on the actual minimal price steps (aka ticks). The script will be further extended with usual market profile related functionally in future updates. At this point we have: - Profile itself (each row represents how many bars touch the given price); - Mode of the profile (called POC)**; * Still it will be introduced in future when I will find / design the proper aggregating technique. It is vital for processing very wide price ranges (for example, 500 days on ES futures). ** The script correctly calculates POC by finding all the modes in the data & choosing the closest one to data's midrange. For this kind of technical instrument finally it was more convenient to use Pine Script 5 (btw it's my first Pine 5). Basically this script is a side-effect of another R&D I'm doing, the stuff is useful tho so let's go. By choosing length we both specify the amount of data to be processed & the profile's location screen-wise. It's pretty cool and & useful, on my screen it's always almost touching the left side and still always visible. The code is heavily commented in order to be understood fast, nothing fantastic, just a lil patience required this time. Rationale Market & volume profiles are well known concepts, lotta info available, the most important point of all that is that MP is just another way of visualizing data that lets you notice things you don't usually notice on sequential charts. From my side I can only add that it's better to use your own brain for thinking and reconsidering using volume profile in all the cases, especially on decentralized markets (unless you're aggregating ALL the volume data from everywhere, including options, OTC etc). Here is it, for you
Pine Script®指標
由gorx1提供
9
VolumeProfileLibrary "VolumeProfile" Analyzes volume and price and calculates a volume profile, in particular the Point Of Control and Value Area values. new(rowSizeInTicks, valueAreaCoverage, startTime)   Constructor method that creates a new Volume Profile   Parameters:      rowSizeInTicks (float) : Internal row size (aka resolution) of the volume profile. Useful for most futures contracts would be '1 / syminfo.mintick'. Default '4'.      valueAreaCoverage (int) : Percentage of total volume that is considered the Value Area. Default '70'      startTime (int) : Start time (unix timestamp in milliseconds) of the Volume Profile. Default 'time'.   Returns: VolumeProfile object method calculatePOC(vp)   Calculates current Point Of Control of the VP   Namespace types: VolumeProfile   Parameters:      vp (VolumeProfile)   Returns: void method calculateVA(vp)   Calculates current Value Area High and Low of the VP   Namespace types: VolumeProfile   Parameters:      vp (VolumeProfile)   Returns: void method update(vp, h, l, v, t)   Processes new chart data and sorts volume into rows. Then calls calculatePOC() and calculateVA() to update the VP. Parameters are usually the output of request.security_lower_tf.   Namespace types: VolumeProfile   Parameters:      vp (VolumeProfile)      h (array) : Array of highs      l (array) : Array of lows      v (array) : Array of volumes      t (array) : Array of candle times   Returns: void method setSessionHigh(vp, h)   Sets the high of the session the VP is tracking   Namespace types: VolumeProfile   Parameters:      vp (VolumeProfile)      h (float)   Returns: void method setSessionLow(vp, l)   Sets the low of the session the VP is tracking   Namespace types: VolumeProfile   Parameters:      vp (VolumeProfile)      l (float)   Returns: void method getPOC(vp)   Gets the current Point Of Control   Namespace types: VolumeProfile   Parameters:      vp (VolumeProfile)   Returns: Point Of Control (float) method getVAH(vp)   Gets the current Value Area High   Namespace types: VolumeProfile   Parameters:      vp (VolumeProfile)   Returns: Value Area High (float) method getVAL(vp)   Gets the current Value Area Low   Namespace types: VolumeProfile   Parameters:      vp (VolumeProfile)   Returns: Value Area Low (float) VolumeProfile   Fields:      rowSizeInTicks (series float)      valueAreaCoverage (series int)      startTime (series int)      valueAreaHigh (series float)      pointOfControl (series float)      valueAreaLow (series float)      sessionHigh (series float)      sessionLow (series float)      volumeByRow (map)      totalVolume (series float)      pocRow (series float)      pocVol (series float)
Pine Script®腳本庫
由tom-tempest提供
3
Volume Footprint Voids [BigBeluga]Volume Footprint Voids is a unique tool that uses lower timeframe calculation to plot different styles of single candle POC. This indicator is very powerful for scalping and finding very precise entry and exits, spotting potential trapped traders, and more. Unlike many other volume profiles, this aims to plot single candle profiles as well as their own footprints. 🔶 FEATURES The script includes the following settings: Windows: Plotting style and calculations Coloring modes Display modes lower-timeframe calculations 🔶 CALCULATION In the image above we can see how the script calculates each level position that will serve as a calculation process to see how much volume/closes there are within the levels. In the image above, we can have a more clear example of how we count each candle close. We use the prior screenshot as an example, after setting each level we will use the lower-timeframe input to measure the amount of closes within the ranges. Depending on the lot size, the box will be larger or smaller, usually the POC will always have the highest box size. NOTE: Size is the starting point, always from the low of the candle. To find more voids, select a closer LTF to the current one you're using. To find fewer voids, select a timeframe away from your current one. Due to Pine Script limitations, we are only able to plot a certain amount of footprints, and we can't plot the whole history chart. POC will be the largest block displayed, indicating the time point of control Gray areas are closes above the average Black are Void or imbalance that price will fill in the future, like FVG The image above shows an incorrect size input that will lead to bad calculations, while on the other side, a correct size input that will lead to a clear vision and better calculation. 🔶 WINDOWS The "▲▼" Mode will display delta buyers and delta sellers coloring with voids as black. It also offers a gradient mode for a beautier visualization The "Total Volume" mode will display the net volume within the lot size (closes within the levels). This is useful to spot possible highest net volume within the same highest lot size. The "POC + Gaps" will show both POC and Gaps as the highest block while all the rest will be considered as the smaller block. This is useful to see where the highest lot were and if there are higher or lower imbalances within the candle The last option "Gaps" will simply display the gaps as the highest block, while the POC as the lowest block. This is useful to have a better view of the gaps areas 🔶 EXAMPLE This is one of the most basic examples of how this script can be used. POC at the bottom creating a strong support area as price holds and creates higher voids gap that price fills while rising. 🔶 SETTINGS Users have full control over the script, from colors to choosing the lower-timeframe inputs to disabling the lot size.
Pine Script®指標
由BigBeluga提供
37
Magnifying Glass (LTF Candles) by SiddWolf█  OVERVIEW This indicator displays The Lower TimeFrame Candles in current chart, Like Zooming in on the Candle to see it's Lower TimeFrame Structure. It plots intrabar OHLC data inside a Label along with the volume structure of LTF candle in an eloquent format. █  QUICK GUIDE Just apply it to the chart, Hover the mouse on the Label and ta-da you have a Lower Timeframe OHLC candles on your screen. Move the indicator to the top and shrink it all the way up, because all the useful data is inside the label. Inside the label: The OHLC ltf candles are pretty straightforward. Volume strength of ltf candles is shown at bottom and Volume Profile on the left. Read the Details below for more information. In the settings, you will find the option to change the UI and can play around with Lower TimeFrame Settings. █  DETAILS First of all, I would like to thank the @TradingView team for providing the function to get access to the lower timeframe data. It is because of them that this magical indicator came into existence. Magnifying Glass indicator displays a Candle's Lower TimeFrame data in Higher timeframe chart. It displays the LTF candles inside a label. It also shows the Volume structure of the lower timeframe candles. Range percentage shown at the bottom is the percentage change between high and low of the current timeframe candle. LTF candle's timeframe is also shown at the bottom on the label. This indicator is gonna be most useful to the price action traders, which is like every profitable trader. How this indicator works: I didn't find any better way to display ltf candles other than labels. Labels are not build for such a complex behaviour, it's a workaround to display this important information. It gets the lower timeframe information of the candle and uses emojis to display information. The area that is shown, is the range of the current timeframe candle. Range is a difference between high and low of the candle. Range percentage is also shown at the bottom in the label. I've divided the range area into 20 parts because there are limitation to display data in the labels. Then the code checks out, in what area does the ltf candle body or wick lies, then displays the information using emojis. The code uses matrix elements for each block and relies heavily on string manipulation. But what I've found most difficult, is managing to fit everything correctly and beautifully so that the view doesn't break. Volume Structure: Strength of the Lower TimeFrame Candles is shown at the bottom inside the label. The Higher Volume is shown with the dark shade color and Lower Volume is shown with the light shade. The volume of candles are also ranked, with 1 being the highest volume, so you can see which candle have the maximum to minimum volume. This is pretty important to make a price action analysis of the lower timeframe candles. Inside the label on the left side you will see the volume profile. As the volume on the bottom shows the strength of each ltf candles, Volume profile on the left shows strength in a particular zone. The Darker the color, the higher the volume in the zone. The Highest volume on the left represents Point of Control (Volume Profile POC) of the candle. Lower TimeFrame Settings: There is a limitation for the lowest timeframe you can show for a chart, because there is only so much data you can fit inside a label. A label can show upto 20 blocks of emojis (candle blocks) per row. Magnifying Glass utilizes this behaviour of labels. 16 blocks are used to display ltf candles, 1 for volume profile and two for Open and Close Highlighter. So for any chart timeframe, ltf candles can be 16th part of htf candle. So 4 hours chart can show as low as 15 minutes of ltf data. I didn't provide the open settings for changing the lower timeframe, as it would give errors in a lot of ways. You can change the timeframe for each chart time from the settings provided. Limitations: Like I mentioned earlier, this indicator is a workaround to display ltf candles inside a label. This indicator does not work well on smaller screens. So if you are not able to see the label, zoom out on your browser a bit. Move the indicator to either top or bottom of all indicators and shrink it's space because all details are inside the label. █  How I use MAGNIFYING GLASS: This indicator provides you an edge, on top of your existing trading strategy. How you use Magnifying Glass is entirely dependent on your strategy. I use this indicator to get a broad picture, before getting into a trade. For example I see a Doji or Engulfing or any other famous candlestick pattern on important levels, I hover the mouse on Magnifying Glass, to look for the price action the ltf candles have been through, to make that pattern. I also use it with my "Wick Pressure" indicator, to check price action at wick zones. Whenever I see price touching important supply and demand zones, I check last few candles to read chart like a beautiful price action story. Also volume is pretty important too. This is what makes Magnifying Glass even better than actual lower timeframe candles. The increasing volume along with up/down trend price shows upward/downward momentum. The sudden burst (peak) in the volume suggests volume climax. Volume profile on the left can be interpreted as the strength/weakness zones inside a candle. The low volume in a price zone suggests weakness and High volume suggests strength. The Highest volume on the left act as POC for that candle. Before making any trade, I read the structure of last three or four candles to get the complete price action picture. █  Conclusion Magnifying Glass is a well crafted indicator that can be used to track lower timeframe price action. This indicator gives you an edge with the Multi Timeframe Analysis, which I believe is the most important aspect of profitable trading. ~ @SiddWolf
Pine Script®指標
由SiddWolf提供
16
VP and POCThis code is credited to juliangonzaconde. Have taken his help to modify his beautiful creation. Volume profile is a key study when comes to understanding the auction trading process. Volume Profiles will show you exactly how much volume, as well as relative volume, occurred at each price as well as the exact number of contracts for the entire session. It is a visualization tool to understand the high activity zone and low activity zone. Volume profile measures the confidence of the traders in the market. From short term trading perspective monitoring the developing volume profile in realtime make more sense to track current market participation behavior to take better trading decisions. Hope this helps you in trading on daily timeframe. Happy Trading.
Pine Script®指標
由AbishekThakur提供
9
Advanced Moving Average ChannelAdvanced Moving Average Channel (MAC) is a comprehensive technical analysis tool that combines multiple moving average types with volume analysis to provide a complete market perspective. Key Features: 1. Dynamic Channel Formation - Configurable moving average types (SMA, EMA, WMA, VWMA, HMA, TEMA) - Separate upper and lower band calculations - Customizable band offsets for precise channel adjustment 2. Volume Analysis Integration - Multi-timeframe volume analysis (1H, 24H, 7D) - Relative volume comparison against historical averages - Volume trend detection with visual indicators - Price-level volume distribution profile 3. Market Context Indicators - RSI integration for overbought/oversold conditions - Channel position percentage - Volume-weighted price levels - Breakout detection with visual signals Usage Guidelines: 1. Channel Interpretation - Price within channel: Normal market conditions - Price above upper band: Potential overbought condition - Price below lower band: Potential oversold condition - Channel width: Indicates market volatility 2. Volume Analysis - High relative volume (>150%): Strong market interest - Low relative volume (<50%): Weak market interest - Volume trend arrows: Indicate increasing/decreasing market participation - Volume profile: Shows price levels with highest trading activity 3. Trading Signals - Breakout arrows: Potential trend continuation - RSI extremes: Confirmation of overbought/oversold conditions - Volume confirmation: Validates price movements Customization: - Adjust MA length for different market conditions - Modify band offsets for tighter/looser channels - Fine-tune volume analysis parameters - Customize visual appearance This indicator is designed for traders who want to combine price action, volume analysis, and market structure in a single, comprehensive tool.
Pine Script®指標
由YouNesta提供
Volume Range Profile with Fair Value (Zeiierman)█ Overview The Volume Range Profile with Fair Value (Zeiierman) is a precision-built volume-mapping tool designed to help traders visualize where institutional-level activity is occurring within the price range — and how that volume behavior shifts over time. Unlike traditional volume profiles that rely on fixed session boundaries or static anchors, this tool dynamically calculates and displays volume zones across both the upper and lower ends of a price range, revealing point-of-control (POC) levels, directional volume flow, and a fair value drift line that updates live with each candle. You’re not just looking at volume anymore. You’re dissecting who’s in control — and at what price. ⚪ In simple terms: Upper Zone = The upper portion of the price range, showing concentrated volume activity — typically where selling or distribution may occur Lower Zone = The lower portion of the price range, highlighting areas of high volume — often associated with buying or accumulation POC Bin = The bin (price level) with the highest traded volume in the zone — considered the most accepted price by the market Fair Value Trend = A dynamic trend line tracking the average POC price over time — visualizing the evolving fair value Zone Labels = Display real-time breakdown of buy/sell volume within each zone and inside the POC — revealing who’s in control █ How It Works ⚪ Volume Zones Upper Zone: Anchored at the highest high in the lookback period Lower Zone: Anchored at the lowest low in the lookback period Width is user-defined via % of range Each zone is divided into a series of volume bins ⚪ Volume Bins (Histograms) Each zone is split into N bins that show how much volume occurred at each level: Taller = More volume The POC bin (Point of Control) is highlighted Labels show % of volume in the POC relative to the whole zone ⚪ Buy vs Sell Breakdown Each volume bin is split by: Buy Volume = Close ≥ Open Sell Volume = Close < Open The script accumulates these and displays total Buy/Sell volume per zone. ⚪ Fair Value Drift Line A POC trend is plotted over time: Represents where volume was most active across each range Color changes dynamically — green for rising, red for falling Serves as a real-time fair value anchor across changing market structure █ How to Use ⚪ Identify Key Control Zones Use Upper/Lower Zone structures to understand where supply and demand is building. Zones automatically adapt to recent highs/lows and re-center volume accordingly. ⚪ Follow Institutional Activity Watch for POC clustering near price tops or bottoms. Large volumes near extremes may indicate accumulation or distribution. ⚪ Spot Fair Value Drift The fair value trend line (average POC price) gives insight into market equilibrium. One strategy can be to trade a re-test of the fair value trend, trades are taken in the direction of the current trend. █ Understanding Buy & Sell Volume Labels (Zone Totals) These labels show the total buy and sell volume accumulated within each zone over the selected lookback period: Buy Vol (green label) → Total volume where candles closed bullish Sell Vol (red label) → Total volume where candles closed bearish Together, they tell you which side dominated: Higher Buy Vol → Bullish accumulation zone Higher Sell Vol → Bearish distribution zone This gives a quick visual insight into who controlled the zone, helping you spot areas of demand or supply imbalance. █ Understanding POC Volume Labels The POC (Point of Control) represents the price level where the most volume occurred within the zone. These labels break down that volume into: Buy % – How much of the volume was buying (price closed up) Sell % – How much was selling (price closed down) Total % – How much of the entire zone’s volume happened at the POC Use it to spot strong demand or supply zones: High Buy % + High Total % → Strong buying interest = likely support High Sell % + High Total % → Strong selling pressure = likely resistance It gives a deeper look into who was in control at the most important price level. █ Why It’s Useful Track where fair value is truly forming Detect aggressive volume accumulation or dumping Visually split buyer/seller control at the most relevant price levels Adapt volume structures to current trend direction █ Settings Explained Lookback Period: Number of bars to scan for highs/lows. Higher = smoother zones, Lower = reactive. Zone Width (% of Range): Controls how much of the range is used to define each zone. Higher = broader zones. Bins per Zone: Number of volume slices per zone. Higher = more detail, but heavier on resources. ----------------- Disclaimer The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information. All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Pine Script®指標
由Zeiierman提供
12
Volume Footprint POC for Every CandleCalculating and plotting the Point of Control (POC) for every candle on a volume footprint chart can provide valuable insights for traders. Here are some interpretations and uses of this information: 1. Identify Key Price Levels Highest Traded Volume: The POC represents the price level with the highest traded volume for each candle. This level often acts as a significant support or resistance level. Confluence Zones: When multiple POCs align at similar price levels over several candles, it indicates strong support or resistance zones. 2. Gauge Market Sentiment Buyer and Seller Activity: High volume at certain price levels can indicate where buyers and sellers are most active. A rising POC suggests stronger buying activity, while a falling POC suggests stronger selling activity. Volume Profile: Analyzing the volume profile helps in understanding the distribution of traded volume across different price levels, providing insights into market sentiment and potential reversals. 3. Spot Trends and Reversals Trend Continuation: Consistent upward or downward shifts in POC levels can indicate a trend continuation. Traders can use this information to stay in trending positions. Reversal Signals: A sudden change in the POC direction may signal a potential reversal. This can be used to take profits or enter new positions. 4. Intraday Trading Strategies Short-Term Trading: Intraday traders can use the POC to make informed decisions on entry and exit points. For example, buying near the POC during an uptrend or selling near the POC during a downtrend. Scalping Opportunities: High-frequency traders can use shifts in the POC to scalp small profits from price movements around these key levels. 5. Volume-Based Indicators Confirmation of Other Indicators: The POC can be used in conjunction with other technical indicators (e.g., moving averages, RSI) to confirm signals and improve trading accuracy. Support and Resistance: Combining the POC with traditional support and resistance levels can provide a more comprehensive view of the market dynamics. In summary, the Point of Control (POC) is a valuable tool for traders to understand market behavior, identify key levels, and make more informed trading decisions. If you have specific questions or need further details on how to use this information in your trading strategy, feel free to ask! 😊
Pine Script®指標
由GTR511提供
5
MM Day Trader LevelsAs an intraday trader, there are certain key levels that I care about for short-term price action on every single chart. When I first began day trading, each morning I would painstakingly mark those key levels off on the charts I planned to trade each day. Depending on the number of charts I was watching, this would take up quite a bit of my time that I felt would have been much better spent doing other things. It also meant that those levels would often be left behind, and on later days I might be trading a symbol and get confused when a line appeared and I'd be paying attention to it only to later discover that it wasn't from prior day, but from some other day in the past when I had marked it off. I looked all over TradingView to find indicators that did this automatically for me, and I found a lot of them. One by one I tried them, and inevitably I would always find that something was wrong with them. Often they didn't have all of the levels I wanted (so I would have to combine multiple indicators), but more often I found that the levels would be incorrect, or they would be buggy and not appear consistently, or they would not appear at the right time, or they would not work on futures! The list of problems went on and on. And the biggest issue I found was that nobody knew how to get session volume profile in an indicator. So, over the course of a few years I figured out how to solve all of those problems and now I'm thrilled to present this free indicator for everyone like me who trades intraday and wants a clean consistent way to see the prior day levels that they care about automatically on every single chart (even futures). The levels the indicator provides are: Yesterday High & Low Value Area High & Low & Point of Control Today's Open Yesterday's Close (aka "Settlement" on futures) Premarket High & Low (non-futures only) Overnight High & Low (futures only) These levels are extremely important, and I expect price to be reactive to them, so each level has a shaded background behind it so that the levels stand out against other lines you may have on your chart. I try to keep configuration as simple as possible, but there are configuration options that allow you to: Hide any of the levels Change the color for the levels Shade the value area (or not) Change the label text, size, type (basic label or plain text) and location (how far to the right of last candle to place the label Adjust session volume profile value area volume & number of rows The biggest advantage to this indicator over others on TradingView is how it handles session volume profile. When it comes to futures, TradingView does differentiate between regular trading hours and "electronic" trading hours on the charts, but their timeframes for those sessions are unusual, and they do not provide any programmatic way to differentiate between them. So, I created a whole new library for dealing with futures sessions that is fully integrated into both my Session Volume Profile library and this indicator, allowing me to bring you the best and only custom indicator available on TradingView that provides you with true regular session volume profile information across every type of symbol, including futures. I'm incredibly proud of everything I've been able to provide with this indicator, and even more thrilled to say that I'm proud of how the indicator has been implemented. Once again releasing this indicator and all associated code for free and open source. I encourage you to take a look at the source code to see how it all works, take advantage of the free underlying libraries I created to make all of this possible: Session Library and Session Volume Profile Library.
Pine Script®指標
由jmosullivan提供
52
Volume Positive & Negative Levels [ChartPrime]Volume Positive & Negative Levels Overview: The Volume Positive & Negative Levels indicator by ChartPrime is designed to provide traders with a clear visualization of volume activity across different price levels. By plotting volume levels as histograms, this tool helps identify significant areas of buying (positive volume) and selling (negative volume) pressure, enhancing the ability to spot potential support and resistance zones. Key Features: ⯁ Lookback Period: - The `lookbackPeriod` parameter, set to 500 bars, determines the range over which the volume analysis is conducted, ensuring a comprehensive view of the market’s volume activity. The maximum lookback period is 500 bars or the bars currently visible on the chart, whichever is smaller. ⯁ Dynamic Volume Calculation: - Volume is calculated dynamically based on the price action, with positive volume indicating buying pressure (close > open) and negative volume indicating selling pressure (close < open). ⯁ Color Coding for Clarity: - Positive Volume: Represented with a distinct color (`#ad9a2c`), making it easy to identify areas of buying interest. - Negative Volume: Highlighted with another color (`#ad2cad`), simplifying the detection of selling pressure. Volume Threshold and Bins: - The indicator allows users to set a volume threshold (`volume_level`) to highlight significant volume levels, with the default set at 70. - The number of bins (`numBins`) defines the granularity of the volume profile, with a higher number providing more detail. ⯁ Volume Profile Visualization: - The volume profile is plotted as a histogram, with the height of each bar proportional to the volume at that price level. This visualization helps in quickly assessing the strength of volume at various price points. ⯁ Interactive Labels and Threshold Indicators: - Labels: The indicator uses labels to mark significant volume levels, providing quick reference points for traders. - Threshold Lines: Lines are drawn at specified volume thresholds, with colors and widths dynamically adjusted based on the volume levels. ⯁ User Inputs: - Volume Threshold (`volume_level`): Sets the minimum volume required to highlight significant levels. - Number of Bins (`numBins`): Determines the resolution of the volume profile. - Line Width (`line_withd`): Specifies the width of the lines used in the visualization. The Volume Positive & Negative Levels indicator is a powerful tool for traders looking to gain deeper insights into market dynamics. By providing a clear visual representation of volume activity across different price levels, it helps traders identify key support and resistance zones, spot trends, and make more informed trading decisions. Whether you are a day trader or a swing trader, this indicator enhances your ability to analyze volume data effectively, improving your overall trading strategy.
Pine Script®指標
由ChartPrime提供
10
Lorentzian Classification - Advanced Trading DashboardLorentzian Classification - Relativistic Market Analysis A Journey from Theory to Trading Reality What began as fascination with Einstein's relativity and Lorentzian geometry has evolved into a practical trading tool that bridges theoretical physics and market dynamics. This indicator represents months of wrestling with complex mathematical concepts, debugging intricate algorithms, and transforming abstract theory into actionable trading signals. The Theoretical Foundation Lorentzian Distance in Market Space Traditional Euclidean distance treats all feature differences equally, but markets don't behave uniformly. Lorentzian distance, borrowed from spacetime geometry, provides a more nuanced similarity measure: d(x,y) = Σ ln(1 + |xi - yi|) This logarithmic formulation naturally handles: Scale invariance: Large price moves don't overwhelm small but significant patterns Outlier robustness: Extreme values are dampened rather than dominating Non-linear relationships: Captures market behavior better than linear metrics K-Nearest Neighbors with Relativistic Weighting The algorithm searches historical market states for patterns similar to current conditions. Each neighbor receives weight inversely proportional to its Lorentzian distance: w = 1 / (1 + distance) This creates a "gravitational" effect where closer patterns have stronger influence on predictions. The Implementation Challenge Creating meaningful market features required extensive experimentation: Price Features: Multi-timeframe momentum (1, 2, 3, 5, 8 bar lookbacks) Volume Features: Relative volume analysis against 20-period average Volatility Features: ATR and Bollinger Band width normalization Momentum Features: RSI deviation from neutral and MACD/price ratio Each feature undergoes min-max normalization to ensure equal weighting in distance calculations. The Prediction Mechanism For each current market state: Feature Vector Construction: 12-dimensional representation of market conditions Historical Search: Scan lookback period for similar patterns using Lorentzian distance Neighbor Selection: Identify K nearest historical matches Outcome Analysis: Examine what happened N bars after each match Weighted Prediction: Combine outcomes using distance-based weights Confidence Calculation: Measure agreement between neighbors Technical Hurdles Overcome Array Management: Complex indexing to prevent look-ahead bias Distance Calculations: Optimizing nested loops for performance Memory Constraints: Balancing lookback depth with computational limits Signal Filtering: Preventing clustering of identical signals Advanced Dashboard System Main Control Panel The primary dashboard provides real-time market intelligence: Signal Status: Current prediction with confidence percentage Neighbor Analysis: How many historical patterns match current conditions Market Regime: Trend strength, volatility, and volume analysis Temporal Context: Real-time updates with timestamp Performance Analytics Comprehensive tracking system monitors: Win Rate: Percentage of successful predictions Signal Count: Total predictions generated Streak Analysis: Current winning/losing sequence Drawdown Monitoring: Maximum equity decline Sharpe Approximation: Risk-adjusted performance estimate Risk Assessment Panel Multi-dimensional risk analysis: RSI Positioning: Overbought/oversold conditions ATR Percentage: Current volatility relative to price Bollinger Position: Price location within volatility bands MACD Alignment: Momentum confirmation Confidence Heatmap Visual representation of prediction reliability: Historical Confidence: Last 10 periods of prediction certainty Strength Analysis: Magnitude of prediction values over time Pattern Recognition: Color-coded confidence levels for quick assessment Input Parameters Deep Dive Core Algorithm Settings K Nearest Neighbors (1-20): More neighbors create smoother but less responsive signals. Optimal range 5-8 for most markets. Historical Lookback (50-500): Deeper history improves pattern recognition but reduces adaptability. 100-200 bars optimal for most timeframes. Feature Window (5-30): Longer windows capture more context but reduce sensitivity. Match to your trading timeframe. Feature Selection Price Changes: Essential for momentum and reversal detection Volume Profile: Critical for institutional activity recognition Volatility Measures: Key for regime change detection Momentum Indicators: Vital for trend confirmation Signal Generation Prediction Horizon (1-20): How far ahead to predict. Shorter horizons for scalping, longer for swing trading. Signal Threshold (0.5-0.9): Confidence required for signal generation. Higher values reduce false signals but may miss opportunities. Smoothing (1-10): EMA applied to raw predictions. More smoothing reduces noise but increases lag. Visual Design Philosophy Color Themes Professional: Corporate blue/red for institutional environments Neon: Cyberpunk cyan/magenta for modern aesthetics Matrix: Green/red hacker-inspired palette Classic: Traditional trading colors Information Hierarchy The dashboard system prioritizes information by importance: Primary Signals: Largest, most prominent display Confidence Metrics: Secondary but clearly visible Supporting Data: Detailed but unobtrusive Historical Context: Available but not distracting Trading Applications Signal Interpretation Long Signals: Prediction > threshold with high confidence Look for volume confirmation - Check trend alignment - Verify support levels Short Signals: Prediction < -threshold with high confidence Confirm with resistance levels - Check for distribution patterns - Verify momentum divergence - Market Regime Adaptation Trending Markets: Higher confidence in directional signals Ranging Markets: Focus on reversal signals at extremes Volatile Markets: Require higher confidence thresholds Low Volume: Reduce position sizes, increase caution Risk Management Integration Confidence-Based Sizing: Larger positions for higher confidence signals Regime-Aware Stops: Wider stops in volatile regimes Multi-Timeframe Confirmation: Align signals across timeframes Volume Confirmation: Require volume support for major signals Originality and Innovation This indicator represents genuine innovation in several areas: Mathematical Approach First application of Lorentzian geometry to market pattern recognition. Unlike Euclidean-based systems, this naturally handles market non-linearities. Feature Engineering Sophisticated multi-dimensional feature space combining price, volume, volatility, and momentum in normalized form. Visualization System Professional-grade dashboard system providing comprehensive market intelligence in intuitive format. Performance Tracking Real-time performance analytics typically found only in institutional trading systems. Development Journey Creating this indicator involved overcoming numerous technical challenges: Mathematical Complexity: Translating theoretical concepts into practical code Performance Optimization: Balancing accuracy with computational efficiency User Interface Design: Making complex data accessible and actionable Signal Quality: Filtering noise while maintaining responsiveness The result is a tool that brings institutional-grade analytics to individual traders while maintaining the theoretical rigor of its mathematical foundation. Best Practices - Parameter Optimization - Start with default settings and adjust based on: Market Characteristics: Volatile vs. stable Trading Timeframe: Scalping vs. swing trading Risk Tolerance: Conservative vs. aggressive Signal Confirmation Never trade on Lorentzian signals alone: Price Action: Confirm with support/resistance Volume: Verify with volume analysis Multiple Timeframes: Check higher timeframe alignment Market Context: Consider overall market conditions Risk Management Position Sizing: Scale with confidence levels Stop Losses: Adapt to market volatility Profit Targets: Based on historical performance Maximum Risk: Never exceed 2-3% per trade Disclaimer This indicator is for educational and research purposes only. It does not constitute financial advice or guarantee profitable trading results. The Lorentzian classification system reveals market patterns but cannot predict future price movements with certainty. Always use proper risk management, conduct your own analysis, and never risk more than you can afford to lose. Market dynamics are inherently uncertain, and past performance does not guarantee future results. This tool should be used as part of a comprehensive trading strategy, not as a standalone solution. Bringing the elegance of relativistic geometry to market analysis through sophisticated pattern recognition and intuitive visualization. Thank you for sharing the idea. You're more than a follower, you're a leader! @vasanthgautham1221 Trade with precision. Trade with insight. — Dskyz , for DAFE Trading Systems
Pine Script®指標
由DskyzInvestments提供
6
Profile Any Indicator [Kioseff Trading]Create a visible-range profile for almost any indicator! Hello! This script "Profile Any Indicator" allows you to create a visible-range profile for *almost* any indicator hosted on TradingView. Therefore, the only requirement: 1. Indicator must have a retrievable plot value. Should your indicator have a retrievable plot value (most indicators do), you can use this script to create a visible-range profile of its values! Consequently, the profile's always oriented to the left-most or right-most side of your chart - updating as you scroll left or right. The image above shows me using the indicator to create a profile for MACD. I am largely zoomed out and the profile has adjusted to chart orientation. Let's zoom in and see what happens! Voila! The indicator adjusted to my chart positioning and created a new visible-range profile! No manual adjustments are required (: Instructions 1. Load the indicator you'd like to profile on the chart. The image above shows me applying the OBV indicator to the chart. Additionally, the "Profile Any Indicator" script is also loaded on the chart, instructing me to add an indicator to its settings. 2. From the settings for "Profile Any indicator", locate the "Indicator" setting and select the indicator you would like to profile. The image above shows me selecting the OBV indicator in the settings for "Profile Any Indicator". Once steps 1 and 2 are complete you'll have a visible-range profile for the selected indicator on your chart! The image above shows the completion of the process. 3. Merge the indicator pane or select to plot the selected indicator in the current pane. From here, you can select to plot the value of the selected indicator in the current pane or merge the selected indicator's pane (which must stay on the chart) with the pane designated to the "Profile Any Indicator" script. The image above shows the two panes merged. The image above shows the two panes separate. Alternatively, in the settings for "Profile Any Indicator", I selected to plot OBV in its pane. You can select to populate the visible-range profile on the right of the chart! Additionally, you can modify the POC line, value area %, and, essentially, any parameter you'd find for a volume-profile-like indicator! Thanks for checking this out (:
Pine Script®指標
由KioseffTrading提供
26
Supertrend Advance Pullback StrategyHandbook for the Supertrend Advance Strategy 1. Introduction Purpose of the Handbook: The main purpose of this handbook is to serve as a comprehensive guide for traders and investors who are looking to explore and harness the potential of the Supertrend Advance Strategy. In the rapidly changing financial market, having the right tools and strategies at one's disposal is crucial. Whether you're a beginner hoping to dive into the world of trading or a seasoned investor aiming to optimize and diversify your portfolio, this handbook offers the insights and methodologies you need. By the end of this guide, readers should have a clear understanding of how the Supertrend Advance Strategy works, its benefits, potential pitfalls, and practical application in various trading scenarios. Overview of the Supertrend Advance Pullback Strategy: At its core, the Supertrend Advance Strategy is an evolution of the popular Supertrend Indicator. Designed to generate buy and sell signals in trending markets, the Supertrend Indicator has been a favorite tool for many traders around the world. The Advance Strategy, however, builds upon this foundation by introducing enhanced mechanisms, filters, and methodologies to increase precision and reduce false signals. 1. Basic Concept: The Supertrend Advance Strategy relies on a combination of price action and volatility to determine the potential trend direction. By assessing the average true range (ATR) in conjunction with specific price points, this strategy aims to highlight the potential starting and ending points of market trends. 2. Methodology: Unlike the traditional Supertrend Indicator, which primarily focuses on closing prices and ATR, the Advance Strategy integrates other critical market variables, such as volume, momentum oscillators, and perhaps even fundamental data, to validate its signals. This multidimensional approach ensures that the generated signals are more reliable and are less prone to market noise. 3. Benefits: One of the main benefits of the Supertrend Advance Strategy is its ability to filter out false breakouts and minor price fluctuations, which can often lead to premature exits or entries in the market. By waiting for a confluence of factors to align, traders using this advanced strategy can increase their chances of entering or exiting trades at optimal points. 4. Practical Applications: The Supertrend Advance Strategy can be applied across various timeframes, from intraday trading to swing trading and even long-term investment scenarios. Furthermore, its flexible nature allows it to be tailored to different asset classes, be it stocks, commodities, forex, or cryptocurrencies. In the subsequent sections of this handbook, we will delve deeper into the intricacies of this strategy, offering step-by-step guidelines on its application, case studies, and tips for maximizing its efficacy in the volatile world of trading. As you journey through this handbook, we encourage you to approach the Supertrend Advance Strategy with an open mind, testing and tweaking it as per your personal trading style and risk appetite. The ultimate goal is not just to provide you with a new tool but to empower you with a holistic strategy that can enhance your trading endeavors. 2. Getting Started Navigating the financial markets can be a daunting task without the right tools. This section is dedicated to helping you set up the Supertrend Advance Strategy on one of the most popular charting platforms, TradingView. By following the steps below, you'll be able to integrate this strategy into your charts and start leveraging its insights in no time. Setting up on TradingView: TradingView is a web-based platform that offers a wide range of charting tools, social networking, and market data. Before you can apply the Supertrend Advance Strategy, you'll first need a TradingView account. If you haven't set one up yet, here's how: 1. Account Creation: • Visit TradingView's official website. • Click on the "Join for free" or "Sign up" button. • Follow the registration process, providing the necessary details and setting up your login credentials. 2. Navigating the Dashboard: • Once logged in, you'll be taken to your dashboard. Here, you'll see a variety of tools, including watchlists, alerts, and the main charting window. • To begin charting, type in the name or ticker of the asset you're interested in the search bar at the top. 3. Configuring Chart Settings: • Before integrating the Supertrend Advance Strategy, familiarize yourself with the chart settings. This can be accessed by clicking the 'gear' icon on the top right of the chart window. • Adjust the chart type, time intervals, and other display settings to your preference. Integrating the Strategy into a Chart: Now that you're set up on TradingView, it's time to integrate the Supertrend Advance Strategy. 1. Accessing the Pine Script Editor: • Located at the top-center of your screen, you'll find the "Pine Editor" tab. Click on it. • This is where custom strategies and indicators are scripted or imported. 2. Loading the Supertrend Advance Strategy Script: • Depending on whether you have the script or need to find it, there are two paths: • If you have the script: Copy the Supertrend Advance Strategy script, and then paste it into the Pine Editor. • If searching for the script: Click on the “Indicators” icon (looks like a flame) at the top of your screen, and then type “Supertrend Advance Strategy” in the search bar. If available, it will show up in the list. Simply click to add it to your chart. 3. Applying the Strategy: • After pasting or selecting the Supertrend Advance Strategy in the Pine Editor, click on the “Add to Chart” button located at the top of the editor. This will overlay the strategy onto your main chart window. 4. Configuring Strategy Settings: • Once the strategy is on your chart, you'll notice a small settings ('gear') icon next to its name in the top-left of the chart window. Click on this to access settings. • Here, you can adjust various parameters of the Supertrend Advance Strategy to better fit your trading style or the specific asset you're analyzing. 5. Interpreting Signals: • With the strategy applied, you'll now see buy/sell signals represented on your chart. Take time to familiarize yourself with how these look and behave over various timeframes and market conditions. 3. Strategy Overview What is the Supertrend Advance Strategy? The Supertrend Advance Strategy is a refined version of the classic Supertrend Indicator, which was developed to aid traders in spotting market trends. The strategy utilizes a combination of data points, including average true range (ATR) and price momentum, to generate buy and sell signals. In essence, the Supertrend Advance Strategy can be visualized as a line that moves with the price. When the price is above the Supertrend line, it indicates an uptrend and suggests a potential buy position. Conversely, when the price is below the Supertrend line, it hints at a downtrend, suggesting a potential selling point. Strategy Goals and Objectives: 1. Trend Identification: At the core of the Supertrend Advance Strategy is the goal to efficiently and consistently identify prevailing market trends. By recognizing these trends, traders can position themselves to capitalize on price movements in their favor. 2. Reducing Noise: Financial markets are often inundated with 'noise' - short-term price fluctuations that can mislead traders. The Supertrend Advance Strategy aims to filter out this noise, allowing for clearer decision-making. 3. Enhancing Risk Management: With clear buy and sell signals, traders can set more precise stop-loss and take-profit points. This leads to better risk management and potentially improved profitability. 4. Versatility: While primarily used for trend identification, the strategy can be integrated with other technical tools and indicators to create a comprehensive trading system. Type of Assets/Markets to Apply the Strategy: 1. Equities: The Supertrend Advance Strategy is highly popular among stock traders. Its ability to capture long-term trends makes it particularly useful for those trading individual stocks or equity indices. 2. Forex: Given the 24-hour nature of the Forex market and its propensity for trends, the Supertrend Advance Strategy is a valuable tool for currency traders. 3. Commodities: Whether it's gold, oil, or agricultural products, commodities often move in extended trends. The strategy can help in identifying and capitalizing on these movements. 4. Cryptocurrencies: The volatile nature of cryptocurrencies means they can have pronounced trends. The Supertrend Advance Strategy can aid crypto traders in navigating these often tumultuous waters. 5. Futures & Options: Traders and investors in derivative markets can utilize the strategy to make more informed decisions about contract entries and exits. It's important to note that while the Supertrend Advance Strategy can be applied across various assets and markets, its effectiveness might vary based on market conditions, timeframe, and the specific characteristics of the asset in question. As always, it's recommended to use the strategy in conjunction with other analytical tools and to backtest its effectiveness in specific scenarios before committing to trades. 4. Input Settings Understanding and correctly configuring input settings is crucial for optimizing the Supertrend Advance Strategy for any specific market or asset. These settings, when tweaked correctly, can drastically impact the strategy's performance. Grouping Inputs: Before diving into individual input settings, it's important to group similar inputs. Grouping can simplify the user interface, making it easier to adjust settings related to a specific function or indicator. Strategy Choice: This input allows traders to select from various strategies that incorporate the Supertrend indicator. Options might include "Supertrend with RSI," "Supertrend with MACD," etc. By choosing a strategy, the associated input settings for that strategy become available. Supertrend Settings: 1. Multiplier: Typically, a default value of 3 is used. This multiplier is used in the ATR calculation. Increasing it makes the Supertrend line further from prices, while decreasing it brings the line closer. 2. Period: The number of bars used in the ATR calculation. A common default is 7. EMA Settings (Exponential Moving Average): 1. Period: Defines the number of previous bars used to calculate the EMA. Common periods are 9, 21, 50, and 200. 2. Source: Allows traders to choose which price (Open, Close, High, Low) to use in the EMA calculation. RSI Settings (Relative Strength Index): 1. Length: Determines how many periods are used for RSI calculation. The standard setting is 14. 2. Overbought Level: The threshold at which the asset is considered overbought, typically set at 70. 3. Oversold Level: The threshold at which the asset is considered oversold, often at 30. MACD Settings (Moving Average Convergence Divergence): 1. Short Period: The shorter EMA, usually set to 12. 2. Long Period: The longer EMA, commonly set to 26. 3. Signal Period: Defines the EMA of the MACD line, typically set at 9. CCI Settings (Commodity Channel Index): 1. Period: The number of bars used in the CCI calculation, often set to 20. 2. Overbought Level: Typically set at +100, denoting overbought conditions. 3. Oversold Level: Usually set at -100, indicating oversold conditions. SL/TP Settings (Stop Loss/Take Profit): 1. SL Multiplier: Defines the multiplier for the average true range (ATR) to set the stop loss. 2. TP Multiplier: Defines the multiplier for the average true range (ATR) to set the take profit. Filtering Conditions: This section allows traders to set conditions to filter out certain signals. For example, one might only want to take buy signals when the RSI is below 30, ensuring they buy during oversold conditions. Trade Direction and Backtest Period: 1. Trade Direction: Allows traders to specify whether they want to take long trades, short trades, or both. 2. Backtest Period: Specifies the time range for backtesting the strategy. Traders can choose from options like 'Last 6 months,' 'Last 1 year,' etc. It's essential to remember that while default settings are provided for many of these tools, optimal settings can vary based on the market, timeframe, and trading style. Always backtest new settings on historical data to gauge their potential efficacy. 5. Understanding Strategy Conditions Developing an understanding of the conditions set within a trading strategy is essential for traders to maximize its potential. Here, we delve deep into the logic behind these conditions, using the Supertrend Advance Strategy as our focal point. Basic Logic Behind Conditions: Every strategy is built around a set of conditions that provide buy or sell signals. The conditions are based on mathematical or statistical methods and are rooted in the study of historical price data. The fundamental idea is to recognize patterns or behaviors that have been profitable in the past and might be profitable in the future. Buy and Sell Conditions: 1. Buy Conditions: Usually formulated around bullish signals or indicators suggesting upward price momentum. 2. Sell Conditions: Centered on bearish signals or indicators indicating downward price momentum. Simple Strategy: The simple strategy could involve using just the Supertrend indicator. Here: • Buy: When price closes above the Supertrend line. • Sell: When price closes below the Supertrend line. Pullback Strategy: This strategy capitalizes on price retracements: • Buy: When the price retraces to the Supertrend line after a bullish signal and is supported by another bullish indicator. • Sell: When the price retraces to the Supertrend line after a bearish signal and is confirmed by another bearish indicator. Indicators Used: EMA (Exponential Moving Average): • Logic: EMA gives more weight to recent prices, making it more responsive to current price movements. A shorter-period EMA crossing above a longer-period EMA can be a bullish sign, while the opposite is bearish. RSI (Relative Strength Index): • Logic: RSI measures the magnitude of recent price changes to analyze overbought or oversold conditions. Values above 70 are typically considered overbought, and values below 30 are considered oversold. MACD (Moving Average Convergence Divergence): • Logic: MACD assesses the relationship between two EMAs of a security’s price. The MACD line crossing above the signal line can be a bullish signal, while crossing below can be bearish. CCI (Commodity Channel Index): • Logic: CCI compares a security's average price change with its average price variation. A CCI value above +100 may mean the price is overbought, while below -100 might signify an oversold condition. And others... As the strategy expands or contracts, more indicators might be added or removed. The crucial point is to understand the core logic behind each, ensuring they align with the strategy's objectives. Logic Behind Each Indicator: 1. EMA: Emphasizes recent price movements; provides dynamic support and resistance levels. 2. RSI: Indicates overbought and oversold conditions based on recent price changes. 3. MACD: Showcases momentum and direction of a trend by comparing two EMAs. 4. CCI: Measures the difference between a security's price change and its average price change. Understanding strategy conditions is not just about knowing when to buy or sell but also about comprehending the underlying market dynamics that those conditions represent. As you familiarize yourself with each condition and indicator, you'll be better prepared to adapt and evolve with the ever-changing financial markets. 6. Trade Execution and Management Trade execution and management are crucial aspects of any trading strategy. Efficient execution can significantly impact profitability, while effective management can preserve capital during adverse market conditions. In this section, we'll explore the nuances of position entry, exit strategies, and various Stop Loss (SL) and Take Profit (TP) methodologies within the Supertrend Advance Strategy. Position Entry: Effective trade entry revolves around: 1. Timing: Enter at a point where the risk-reward ratio is favorable. This often corresponds to confirmatory signals from multiple indicators. 2. Volume Analysis: Ensure there's adequate volume to support the movement. Volume can validate the strength of a signal. 3. Confirmation: Use multiple indicators or chart patterns to confirm the entry point. For instance, a buy signal from the Supertrend indicator can be confirmed with a bullish MACD crossover. Position Exit Strategies: A successful exit strategy will lock in profits and minimize losses. Here are some strategies: 1. Fixed Time Exit: Exiting after a predetermined period. 2. Percentage-based Profit Target: Exiting after a certain percentage gain. 3. Indicator-based Exit: Exiting when an indicator gives an opposing signal. Percentage-based SL/TP: • Stop Loss (SL): Set a fixed percentage below the entry price to limit potential losses. • Example: A 2% SL on an entry at $100 would trigger a sell at $98. • Take Profit (TP): Set a fixed percentage above the entry price to lock in gains. • Example: A 5% TP on an entry at $100 would trigger a sell at $105. Supertrend-based SL/TP: • Stop Loss (SL): Position the SL at the Supertrend line. If the price breaches this line, it could indicate a trend reversal. • Take Profit (TP): One could set the TP at a point where the Supertrend line flattens or turns, indicating a possible slowdown in momentum. Swing high/low-based SL/TP: • Stop Loss (SL): For a long position, set the SL just below the recent swing low. For a short position, set it just above the recent swing high. • Take Profit (TP): For a long position, set the TP near a recent swing high or resistance. For a short position, near a swing low or support. And other methods... 1. Trailing Stop Loss: This dynamic SL adjusts with the price movement, locking in profits as the trade moves in your favor. 2. Multiple Take Profits: Divide the position into segments and set multiple TP levels, securing profits in stages. 3. Opposite Signal Exit: Exit when another reliable indicator gives an opposite signal. Trade execution and management are as much an art as they are a science. They require a blend of analytical skill, discipline, and intuition. Regularly reviewing and refining your strategies, especially in light of changing market conditions, is crucial to maintaining consistent trading performance. 7. Visual Representations Visual tools are essential for traders, as they simplify complex data into an easily interpretable format. Properly analyzing and understanding the plots on a chart can provide actionable insights and a more intuitive grasp of market conditions. In this section, we’ll delve into various visual representations used in the Supertrend Advance Strategy and their significance. Understanding Plots on the Chart: Charts are the primary visual aids for traders. The arrangement of data points, lines, and colors on them tell a story about the market's past, present, and potential future moves. 1. Data Points: These represent individual price actions over a specific timeframe. For instance, a daily chart will have data points showing the opening, closing, high, and low prices for each day. 2. Colors: Used to indicate the nature of price movement. Commonly, green is used for bullish (upward) moves and red for bearish (downward) moves. Trend Lines: Trend lines are straight lines drawn on a chart that connect a series of price points. Their significance: 1. Uptrend Line: Drawn along the lows, representing support. A break below might indicate a trend reversal. 2. Downtrend Line: Drawn along the highs, indicating resistance. A break above might suggest the start of a bullish trend. Filled Areas: These represent a range between two values on a chart, usually shaded or colored. For instance: 1. Bollinger Bands: The area between the upper and lower band is filled, giving a visual representation of volatility. 2. Volume Profile: Can show a filled area representing the amount of trading activity at different price levels. Stop Loss and Take Profit Lines: These are horizontal lines representing pre-determined exit points for trades. 1. Stop Loss Line: Indicates the level at which a trade will be automatically closed to limit losses. Positioned according to the trader's risk tolerance. 2. Take Profit Line: Denotes the target level to lock in profits. Set according to potential resistance (for long trades) or support (for short trades) or other technical factors. Trailing Stop Lines: A trailing stop is a dynamic form of stop loss that moves with the price. On a chart: 1. For Long Trades: Starts below the entry price and moves up with the price but remains static if the price falls, ensuring profits are locked in. 2. For Short Trades: Starts above the entry price and moves down with the price but remains static if the price rises. Visual representations offer traders a clear, organized view of market dynamics. Familiarity with these tools ensures that traders can quickly and accurately interpret chart data, leading to more informed decision-making. Always ensure that the visual aids used resonate with your trading style and strategy for the best results. 8. Backtesting Backtesting is a fundamental process in strategy development, enabling traders to evaluate the efficacy of their strategy using historical data. It provides a snapshot of how the strategy would have performed in past market conditions, offering insights into its potential strengths and vulnerabilities. In this section, we'll explore the intricacies of setting up and analyzing backtest results and the caveats one must be aware of. Setting Up Backtest Period: 1. Duration: Determine the timeframe for the backtest. It should be long enough to capture various market conditions (bullish, bearish, sideways). For instance, if you're testing a daily strategy, consider a period of several years. 2. Data Quality: Ensure the data source is reliable, offering high-resolution and clean data. This is vital to get accurate backtest results. 3. Segmentation: Instead of a continuous period, sometimes it's helpful to backtest over distinct market phases, like a particular bear or bull market, to see how the strategy holds up in different environments. Analyzing Backtest Results: 1. Performance Metrics: Examine metrics like the total return, annualized return, maximum drawdown, Sharpe ratio, and others to gauge the strategy's efficiency. 2. Win Rate: It's the ratio of winning trades to total trades. A high win rate doesn't always signify a good strategy; it should be evaluated in conjunction with other metrics. 3. Risk/Reward: Understand the average profit versus the average loss per trade. A strategy might have a low win rate but still be profitable if the average gain far exceeds the average loss. 4. Drawdown Analysis: Review the periods of losses the strategy could incur and how long it takes, on average, to recover. 9. Tips and Best Practices Successful trading requires more than just knowing how a strategy works. It necessitates an understanding of when to apply it, how to adjust it to varying market conditions, and the wisdom to recognize and avoid common pitfalls. This section offers insightful tips and best practices to enhance the application of the Supertrend Advance Strategy. When to Use the Strategy: 1. Market Conditions: Ideally, employ the Supertrend Advance Strategy during trending market conditions. This strategy thrives when there are clear upward or downward trends. It might be less effective during consolidative or sideways markets. 2. News Events: Be cautious around significant news events, as they can cause extreme volatility. It might be wise to avoid trading immediately before and after high-impact news. 3. Liquidity: Ensure you are trading in assets/markets with sufficient liquidity. High liquidity ensures that the price movements are more reflective of genuine market sentiment and not due to thin volume. Adjusting Settings for Different Markets/Timeframes: 1. Markets: Each market (stocks, forex, commodities) has its own characteristics. It's essential to adjust the strategy's parameters to align with the market's volatility and liquidity. 2. Timeframes: Shorter timeframes (like 1-minute or 5-minute charts) tend to have more noise. You might need to adjust the settings to filter out false signals. Conversely, for longer timeframes (like daily or weekly charts), you might need to be more responsive to genuine trend changes. 3. Customization: Regularly review and tweak the strategy's settings. Periodic adjustments can ensure the strategy remains optimized for the current market conditions. 10. Frequently Asked Questions (FAQs) Given the complexities and nuances of the Supertrend Advance Strategy, it's only natural for traders, both new and seasoned, to have questions. This section addresses some of the most commonly asked questions regarding the strategy. 1. What exactly is the Supertrend Advance Strategy? The Supertrend Advance Strategy is an evolved version of the traditional Supertrend indicator. It's designed to provide clearer buy and sell signals by incorporating additional indicators like EMA, RSI, MACD, CCI, etc. The strategy aims to capitalize on market trends while minimizing false signals. 2. Can I use the Supertrend Advance Strategy for all asset types? Yes, the strategy can be applied to various asset types like stocks, forex, commodities, and cryptocurrencies. However, it's crucial to adjust the settings accordingly to suit the specific characteristics and volatility of each asset type. 3. Is this strategy suitable for day trading? Absolutely! The Supertrend Advance Strategy can be adjusted to suit various timeframes, making it versatile for both day trading and long-term trading. Remember to fine-tune the settings to align with the timeframe you're trading on. 4. How do I deal with false signals? No strategy is immune to false signals. However, by combining the Supertrend with other indicators and adhering to strict risk management protocols, you can minimize the impact of false signals. Always use stop-loss orders and consider filtering trades with additional confirmation signals. 5. Do I need any prior trading experience to use this strategy? While the Supertrend Advance Strategy is designed to be user-friendly, having a foundational understanding of trading and market analysis can greatly enhance your ability to employ the strategy effectively. If you're a beginner, consider pairing the strategy with further education and practice on demo accounts. 6. How often should I review and adjust the strategy settings? There's no one-size-fits-all answer. Some traders adjust settings weekly, while others might do it monthly. The key is to remain responsive to changing market conditions. Regular backtesting can give insights into potential required adjustments. 7. Can the Supertrend Advance Strategy be automated? Yes, many traders use algorithmic trading platforms to automate their strategies, including the Supertrend Advance Strategy. However, always monitor automated systems regularly to ensure they're operating as intended. 8. Are there any markets or conditions where the strategy shouldn't be used? The strategy might generate more false signals in markets that are consolidative or range-bound. During significant news events or times of unexpected high volatility, it's advisable to tread with caution or stay out of the market. 9. How important is backtesting with this strategy? Backtesting is crucial as it allows traders to understand how the strategy would have performed in the past, offering insights into potential profitability and areas of improvement. Always backtest any new setting or tweak before applying it to live trades. 10. What if the strategy isn't working for me? No strategy guarantees consistent profits. If it's not working for you, consider reviewing your settings, seeking expert advice, or complementing the Supertrend Advance Strategy with other analysis methods. Remember, continuous learning and adaptation are the keys to trading success. Other comments Value of combining several indicators in this script and how they work together Diversification of Signals: Just as diversifying an investment portfolio can reduce risk, using multiple indicators can offer varied perspectives on potential price movements. Each indicator can capture a different facet of the market, ensuring that traders are not overly reliant on a single data point. Confirmation & Reduced False Signals: A common challenge with many indicators is the potential for false signals. By requiring confirmation from multiple indicators before acting, the chances of acting on a false signal can be significantly reduced. Flexibility Across Market Conditions: Different indicators might perform better under different market conditions. For example, while moving averages might excel in trending markets, oscillators like RSI might be more useful during sideways or range-bound conditions. A mashup strategy can potentially adapt better to varying market scenarios. Comprehensive Analysis: With multiple indicators, traders can gauge trend strength, momentum, volatility, and potential market reversals all at once, providing a holistic view of the market. How do the different indicators in the Supertrend Advance Strategy work together? Supertrend: This is primarily a trend-following indicator. It provides traders with buy and sell signals based on the volatility of the price. When combined with other indicators, it can filter out noise and give more weight to strong, confirmed trends. EMA (Exponential Moving Average): EMA gives more weight to recent price data. It can be used to identify the direction and strength of a trend. When the price is above the EMA, it's generally considered bullish, and vice versa. RSI (Relative Strength Index): An oscillator that measures the magnitude of recent price changes to evaluate overbought or oversold conditions. By cross-referencing with other indicators like EMA or MACD, traders can spot potential reversals or confirmations of a trend. MACD (Moving Average Convergence Divergence): This indicator identifies changes in the strength, direction, momentum, and duration of a trend in a stock's price. When the MACD line crosses above the signal line, it can be a bullish sign, and when it crosses below, it can be bearish. Pairing MACD with Supertrend can provide dual confirmation of a trend. CCI (Commodity Channel Index): Initially developed for commodities, CCI can indicate overbought or oversold conditions. It can be used in conjunction with other indicators to determine entry and exit points. In essence, the synergy of these indicators provides a balanced, comprehensive approach to trading. Each indicator offers its unique lens into market conditions, and when they align, it can be a powerful indication of a trading opportunity. This combination not only reduces the potential drawbacks of each individual indicator but leverages their strengths, aiming for more consistent and informed trading decisions. Backtesting and Default Settings • This indicator has been optimized to be applied for 1 hour-charts. However, the underlying principles of this strategy are supply and demand in the financial markets and the strategy can be applied to all timeframes. Daytraders can use the 1min- or 5min charts, swing-traders can use the daily charts. • This strategy has been designed to identify the most promising, highest probability entries and trades for each stock or other financial security. • The combination of the qualifiers results in a highly selective strategy which only considers the most promising swing-trading entries. As a result, you will normally only find a low number of trades for each stock or other financial security per year in case you apply this strategy for the daily charts. Shorter timeframes will result in a higher number of trades / year. • Consequently, traders need to apply this strategy for a full watchlist rather than just one financial security. • Default properties: RSI on (length 14, RSI buy level 50, sell level 50), EMA, RSI, MACD on, type of strategy pullback, SL/TP type: ATR (length 10, factor 3), trade direction both, quantity 5, take profit swing hl 5.1, highest / lowest lookback 2, enable ATR trail (ATR length 10, SL ATR multiplier 1.4, TP multiplier 2.1, lookback = 4, trade direction = both).
Pine Script®策略
由JS_TechTrading提供
1
Adaptive Range Scalper - KetBotAIThe Adaptive Scalper is designed to dynamically adjust entry, take-profit (TP), and stop-loss (SL) levels based on the latest market price. It combines multiple tools to provide traders with actionable insights, suitable for a range of trading styles and timeframes. How the Indicator Works Dynamic Levels: - Yellow Dotted Line: Represents the entry level, following the latest price dynamically. - Green Line: The Take Profit (TP) level, calculated as a multiple of the current price, adapts in real-time. - Red Line: The Stop Loss (SL) level, placed below the price and also dynamically adjusts. Bollinger Bands: Provides context for market volatility and potential overbought/oversold zones. Narrowing bands signal consolidation, while expanding bands indicate increased volatility. Buy and Sell Signals: Buy Signal: Triggered when the price crosses above the lower Bollinger Band. Sell Signal: Triggered when the price crosses below the upper Bollinger Band. These signals help traders time entries and exits based on momentum shifts. Risk/Reward Analysis: Visual shading shows the favorable risk/reward zone between the stop loss and take profit levels. Timeframe Suggestions Short-Term Traders (Scalping): Use on 5-minute to 15-minute charts. Focus on high-volatility periods for quick entries and exits. Intraday Traders: Ideal for 30-minute to 1-hour charts. Provides more stable signals and less noise. Swing Traders: Best suited for 4-hour or daily charts. Captures broader trends with fewer signals, allowing for larger moves. Tool Combination Volume Profile: Combine with volume-based tools to confirm key support/resistance zones around TP and SL levels. Trend Indicators: Use with Moving Averages (e.g., 20-period or 50-period) to identify the broader trend direction. Example: Only take buy signals in an uptrend and sell signals in a downtrend. Momentum Oscillators: Pair with tools like RSI or MACD to avoid entering overbought/oversold conditions. Support/Resistance Lines: Manually mark significant levels to confirm alignment with the indicator’s TP and SL zones. Useful Advice for Traders Risk Management: - Always assess the risk/reward ratio; aim for at least 1:2 (risking 1 to gain 2). - Adjust the multiplier to match your trading style (e.g., higher multiplier for swing trades, lower for scalping). Avoid Overtrading: Use the indicator in conjunction with clear rules to avoid false signals during low-volatility periods. Monitor market volatility: Pay attention to narrowing Bollinger Bands, which signal consolidations. Avoid trading until a breakout occurs. Test on Demo Accounts: Practice using the indicator on a demo account to understand its behavior across different assets and timeframes. Focus on High-Liquidity Markets: For the best results, trade highly liquid instruments like major currency pairs, gold, or stock indices. Summary The Adaptive Range Indicator dynamically adjusts to market conditions, offering clear entry and exit levels. By combining it with Bollinger Bands and other tools, traders can better navigate market trends and avoid noise. It’s versatile across multiple timeframes and assets, making it a valuable addition to any trader’s toolkit.
Pine Script®指標
由KetBotAI提供
Normal Distribution CurveThis Normal Distribution Curve is designed to overlay a simple normal distribution curve on top of any TradingView indicator. This curve represents a probability distribution for a given dataset and can be used to gain insights into the likelihood of various data levels occurring within a specified range, providing traders and investors with a clear visualization of the distribution of values within a specific dataset. With the only inputs being the variable source and plot colour, I think this is by far the simplest and most intuitive iteration of any statistical analysis based indicator I've seen here! Traders can quickly assess how data clusters around the mean in a bell curve and easily see the percentile frequency of the data; or perhaps with both and upper and lower peaks identify likely periods of upcoming volatility or mean reversion. Facilitating the identification of outliers was my main purpose when creating this tool, I believed fixed values for upper/lower bounds within most indicators are too static and do not dynamically fit the vastly different movements of all assets and timeframes - and being able to easily understand the spread of information simplifies the process of identifying key regions to take action. The curve's tails, representing the extreme percentiles, can help identify outliers and potential areas of price reversal or trend acceleration. For example using the RSI which typically has static levels of 70 and 30, which will be breached considerably more on a less liquid or more volatile asset and therefore reduce the actionable effectiveness of the indicator, likewise for an asset with little to no directional volatility failing to ever reach this overbought/oversold areas. It makes considerably more sense to look for the top/bottom 5% or 10% levels of outlying data which are automatically calculated with this indicator, and may be a noticeable distance from the 70 and 30 values, as regions to be observing for your investing. This normal distribution curve employs percentile linear interpolation to calculate the distribution. This interpolation technique considers the nearest data points and calculates the price values between them. This process ensures a smooth curve that accurately represents the probability distribution, even for percentiles not directly present in the original dataset; and applicable to any asset regardless of timeframe. The lookback period is set to a value of 5000 which should ensure ample data is taken into calculation and consideration without surpassing any TradingView constraints and limitations, for datasets smaller than this the indicator will adjust the length to just include all data. The labels providing the percentile and average levels can also be removed in the style tab if preferred. Additionally, as an unplanned benefit is its applicability to the underlying price data as well as any derived indicators. Turning it into something comparable to a volume profile indicator but based on the time an assets price was within a specific range as opposed to the volume. This can therefore be used as a tool for identifying potential support and resistance zones, as well as areas that mark market inefficiencies as price rapidly accelerated through. This may then give a cleaner outlook as it eliminates the potential drawbacks of volume based profiles that maybe don't collate all exchange data or are misrepresented due to large unforeseen increases/decreases underlying capital inflows/outflows. Thanks to @ALifeToMake, @Bjorgum, vgladkov on stackoverflow (and possibly some chatGPT!) for all the assistance in bringing this indicator to life. I really hope every user can find some use from this and help bring a unique and data driven perspective to their decision making. And make sure to please share any original implementaions of this tool too! If you've managed to apply this to the average price change once you've entered your position to better manage your trade management, or maybe overlaying on an implied volatility indicator to identify potential options arbitrage opportunities; let me know! And of course if anyone has any issues, questions, queries or requests please feel free to reach out! Thanks and enjoy.
Pine Script®指標
由BlockchainSpecialists提供
4
Pin Candle DetectionPin candles are a variation of hammer candles that are useful in technical analysis . In particular, when combined with volume profile studies, they can be a powerful set up for long entries or other decision making. For example, when looking at volume profiles, a long entry would be a fair value area (i.e. 40%) below the close of a pin candle. When combined with a support level , the set up is stronger. While most scripts look for hammer candles, pin candles are somewhat different in that the length of the wick is significant. This script and its parameters was built for ES futures 15 min chart in mind. This script is unique in that it allows for the below parameters to be adjusted to suit other instruments and timeframes: 1. Fib level: Candle must close within a certain retracement level). My preference is 0.55. Some traders like 0.5, while others prefer 0.33 2. Wick length: Pin candles differ from pure hammers in that the length of the wick must be significant. My preference is 7 points on ES (as in $ and not ticks) Add this script to your alerts to no longer miss these set ups.
Pine Script®指標
由xfuturesgod提供
Bar Bodies [vnhilton]Note: Go to "Chart Settings" & hide "Body" & "Borders". Also uncheck "Labels on price scale" & "Values in status line" as they're not needed. This script plots candlestick bodies with the same thickness as the wicks (similar to the bar chart, but without the horizontal lines to represent the open & close). To do this, it plots an invisible candlestick body with an invisible candlestick border from the high to the close/open for a green/red candle respectively, & uses the low wick as the candlestick body itself by plotting it from the low price to the open/close for a green/red candle respectively. My personal use for this script is to use it in conjunction with TradingView's Periodic Volume Profile, in order to still see OHLC data without obstructing the candlesticks' volume profiles, as seen in the chart snapshot image above.
Pine Script®指標
由vnhilton提供
Liquidity Levels/Voids (VP) [LuxAlgo]The Liquidity Levels/Voids (VP) is a script designed to detect liquidity voids & levels by measuring traded volume at all price levels on the market between two swing points and highlighting the distribution of the liquidity voids & levels at specific price levels. 🔶 USAGE Liquidity is a fundamental market force that shapes the trajectory of assets. The creation of a liquidity level comes as a result of an initial imbalance of supply/demand, which forms what we know as a swing high or swing low. As more players take positions in the market, these are levels that market participants will use as a historical reference to place their stops. When the levels are then re-tested, a decision will be made. The binary outcome here can be a breakout of the level or a reversal back to the mean. Liquidity voids are sudden price changes that occur in the market when the price jumps from one level to another with little trading activity (low volume), creating an imbalance in price. The price tends to fill or retest the liquidity voids area, and traders understand at which price level institutional players have been active. Liquidity voids are a valuable concept in trading, as they provide insights about where many orders were injected, creating this inefficiency in the market. The price tends to restore the balance. 🔶 SETTINGS The script takes into account user-defined parameters and detects the liquidity voids based on them, where detailed usage for each user-defined input parameter in indicator settings is provided with the related input's tooltip. 🔹 Liquidity Levels / Voids Liquidity Levels/Voids: Color customization option for Unfilled Liquidity Levels/Voids. Detection Length: Lookback period used for the calculation of Swing Levels. Threshold %: Threshold used for the calculation of the Liquidity Levels & Voids. Sensitivity: Adjusts the number of levels between two swing points, as a result, the height of a level is determined, and then based on the above-given threshold the level is checked if it matches the liquidity level/void conditions. Filled Liquidity Levels/Voids: Toggles the visibility of the Filled Liquidity Levels/Voids and color customization option for Filled Liquidity Levels/Voids. 🔹 Other Features Swing Highs/Lows: Toggles the visibility of the Swing Levels, where tooltips present statistical information, such as price, price change, and cumulative volume between the two swing levels detected based on the detection length specified above, Coloring options to customize swing low and swing high label colors, and Size option to adjust the size of the labels. 🔹 Display Options Mode: Controls the lookback length of detection and visualization. # Bars: Lookback length customization, in case Mode is set to Present. 🔶 RELATED SCRIPTS Liquidity-Voids-FVG Buyside-Sellside-Liquidity Swing-Volume-Profiles
Pine Script®指標
由LuxAlgo提供
15
Ruckard TradingLatinoThis strategy tries to mimic TradingLatino strategy. The current implementation is beta. Si hablas castellano o espanyol por favor consulta MENSAJE EN CASTELLANO más abajo. It's aimed at BTCUSDT pair and 4h timeframe. STRATEGY DEFAULT SETTINGS EXPLANATION max_bars_back=5000 : This is a random number of bars so that the strategy test lasts for one or two years calc_on_order_fills=false : To wait for the 4h closing is too much. Try to check if it's worth entering a position after closing one. I finally decided not to recheck if it's worth entering after an order is closed. So it is false. calc_on_every_tick=false pyramiding=0 : We only want one entry allowed in the same direction. And we don't want the order to scale by error. initial_capital=1000 : These are 1000 USDT. By using 1% maximum loss per trade and 7% as a default stop loss by using 1000 USDT at 12000 USDT per BTC price you would entry with around 142 USDT which are converted into: 0.010 BTC . The maximum number of decimal for contracts on this BTCUSDT market is 3 decimals. E.g. the minimum might be: 0.001 BTC . So, this minimal 1000 amount ensures us not to entry with less than 0.001 entries which might have happened when using 100 USDT as an initial capital. slippage=1 : Binance BTCUSDT mintick is: 0.01. Binance slippage: 0.1 % (Let's assume). TV has an integer slippage. It does not have a percentage based slippage. If we assume a 1000 initial capital, the recommended equity is 142 which at 11996 USDT per BTC price means: 0.011 BTC. The 0.1% slippage of: 0.011 BTC would be: 0.000011 . This is way smaller than the mintick. So our slippage is going to be 1. E.g. 1 (slippage) * 0.01 (mintick) commission_type=strategy.commission.percent and commission_value=0.1 : According to: binance . com / en / fee / schedule in VIP 0 level both maker and taker fees are: 0.1 %. BACKGROUND Jaime Merino is a well known Youtuber focused on crypto trading His channel TradingLatino features monday to friday videos where he explains his strategy. JAIME MERINO STANCE ON BOTS Jaime Merino stance on bots (taken from memory out of a 2020 June video from him): '~ You know. They can program you a bot and it might work. But, there are some special situations that the bot would not be able to handle. And, I, as a human, I would handle it. And the bot wouldn't do it. ~' My long term target with this strategy script is add as many special situations as I can to the script so that it can match Jaime Merino behaviour even in non normal circumstances. My alternate target is learn Pine script and enjoy programming with it. WARNING This script might be bigger than other TradingView scripts. However, please, do not be confused because the current status is beta. This script has not been tested with real money. This is NOT an official strategy from Jaime Merino. This is NOT an official strategy from TradingLatino . net . HOW IT WORKS It basically uses ADX slope and LazyBear's Squeeze Momentum Indicator to make its buy and sell decisions. Fast paced EMA being bigger than slow paced EMA (on higher timeframe) advices going long. Fast paced EMA being smaller than slow paced EMA (on higher timeframe) advices going short. It finally add many substrats that TradingLatino uses. SETTINGS __ SETTINGS - Basics ____ SETTINGS - Basics - ADX (ADX) Smoothing {14} (ADX) DI Length {14} (ADX) key level {23} ____ SETTINGS - Basics - LazyBear Squeeze Momentum (SQZMOM) BB Length {20} (SQZMOM) BB MultFactor {2.0} (SQZMOM) KC Length {20} (SQZMOM) KC MultFactor {1.5} (SQZMOM) Use TrueRange (KC) {True} ____ SETTINGS - Basics - EMAs (EMAS) EMA10 - Length {10} (EMAS) EMA10 - Source {close} (EMAS) EMA55 - Length {55} (EMAS) EMA55 - Source {close} ____ SETTINGS - Volume Profile Lowest and highest VPoC from last three days is used to know if an entry has a support VPVR of last 100 4h bars is also taken into account (VP) Use number of bars (not VP timeframe): Uses 'Number of bars {100}' setting instead of 'Volume Profile timeframe' setting for calculating session VPoC (VP) Show tick difference from current price {False}: BETA . Might be useful for actions some day. (VP) Number of bars {100}: If 'Use number of bars (not VP timeframe)' is turned on this setting is used to calculate session VPoC. (VP) Volume Profile timeframe {1 day}: If 'Use number of bars (not VP timeframe)' is turned off this setting is used to calculate session VPoC. (VP) Row width multiplier {0.6}: Adjust how the extra Volume Profile bars are shown in the chart. (VP) Resistances prices number of decimal digits : Round Volume Profile bars label numbers so that they don't have so many decimals. (VP) Number of bars for bottom VPOC {18}: 18 bars equals 3 days in suggested timeframe of 4 hours. It's used to calculate lowest session VPoC from previous three days. It's also used as a top VPOC for sells. (VP) Ignore VPOC bottom advice on long {False}: If turned on it ignores bottom VPOC (or top VPOC on sells) when evaluating if a buy entry is worth it. (VP) Number of bars for VPVR VPOC {100}: Number of bars to calculate the VPVR VPoC. We use 100 as Jaime once used. When the price bounces back to the EMA55 it might just bounce to this VPVR VPoC if its price it's lower than the EMA55 (Sells have inverse algorithm). ____ SETTINGS - ADX Slope ADX Slope help us to understand if ADX has a positive slope, negative slope or it is rather still. (ADXSLOPE) ADX cut {23}: If ADX value is greater than this cut (23) then ADX has strength (ADXSLOPE) ADX minimum steepness entry {45}: ADX slope needs to be 45 degrees to be considered as a positive one. (ADXSLOPE) ADX minimum steepness exit {45}: ADX slope needs to be -45 degrees to be considered as a negative one. (ADXSLOPE) ADX steepness periods {3}: In order to avoid false detection the slope is calculated along 3 periods. ____ SETTINGS - Next to EMA55 (NEXTEMA55) EMA10 to EMA55 bounce back percentage {80}: EMA10 might bounce back to EMA55 or maybe to 80% of its complete way to EMA55 (NEXTEMA55) Next to EMA55 percentage {15}: How much next to the EMA55 you need to be to consider it's going to bounce back upwards again. ____ SETTINGS - Stop Loss and Take Profit You can set a default stop loss or a default take profit. (STOPTAKE) Stop Loss % {7.0} (STOPTAKE) Take Profit % {2.0} ____ SETTINGS - Trailing Take Profit You can customize the default trailing take profit values (TRAILING) Trailing Take Profit (%) {1.0}: Trailing take profit offset in percentage (TRAILING) Trailing Take Profit Trigger (%) {2.0}: When 2.0% of benefit is reached then activate the trailing take profit. ____ SETTINGS - MAIN TURN ON/OFF OPTIONS (EMAS) Ignore advice based on emas {false}. (EMAS) Ignore advice based on emas (On closing long signal) {False}: Ignore advice based on emas but only when deciding to close a buy entry. (SQZMOM) Ignore advice based on SQZMOM {false}: Ignores advice based on SQZMOM indicator. (ADXSLOPE) Ignore advice based on ADX positive slope {false} (ADXSLOPE) Ignore advice based on ADX cut (23) {true} (STOPTAKE) Take Profit? {false}: Enables simple Take Profit. (STOPTAKE) Stop Loss? {True}: Enables simple Stop Loss. (TRAILING) Enable Trailing Take Profit (%) {True}: Enables Trailing Take Profit. ____ SETTINGS - Strategy mode (STRAT) Type Strategy: 'Long and Short', 'Long Only' or 'Short Only'. Default: 'Long and Short'. ____ SETTINGS - Risk Management (RISKM) Risk Management Type: 'Safe', 'Somewhat safe compound' or 'Unsafe compound'. ' Safe ': Calculations are always done with the initial capital (1000) in mind. The maximum losses per trade/day/week/month are taken into account. ' Somewhat safe compound ': Calculations are done with initial capital (1000) or a higher capital if it increases. The maximum losses per trade/day/week/month are taken into account. ' Unsafe compound ': In each order all the current capital is gambled and only the default stop loss per order is taken into account. That means that the maximum losses per trade/day/week/month are not taken into account. Default : 'Somewhat safe compound'. (RISKM) Maximum loss per trade % {1.0}. (RISKM) Maximum loss per day % {6.0}. (RISKM) Maximum loss per week % {8.0}. (RISKM) Maximum loss per month % {10.0}. ____ SETTINGS - Decimals (DECIMAL) Maximum number of decimal for contracts {3}: How small (3 decimals means 0.001) an entry position might be in your exchange. EXTRA 1 - PRICE IS IN RANGE indicator (PRANGE) Print price is in range {False}: Enable a bottom label that indicates if the price is in range or not. (PRANGE) Price range periods {5}: How many previous periods are used to calculate the medians (PRANGE) Price range maximum desviation (%) {0.6} ( > 0 ): Maximum positive desviation for range detection (PRANGE) Price range minimum desviation (%) {0.6} ( > 0 ): Mininum negative desviation for range detection EXTRA 2 - SQUEEZE MOMENTUM Desviation indicator (SQZDIVER) Show degrees {False}: Show degrees of each Squeeze Momentum Divergence lines to the x-axis. (SQZDIVER) Show desviation labels {False}: Whether to show or not desviation labels for the Squeeze Momentum Divergences. (SQZDIVER) Show desviation lines {False}: Whether to show or not desviation lines for the Squeeze Momentum Divergences. EXTRA 3 - VOLUME PROFILE indicator WARNING: This indicator works not on current bar but on previous bar. So in the worst case it might be VP from 4 hours ago. Don't worry, inside the strategy calculus the correct values are used. It's just that I cannot show the most recent one in the chart. (VP) Print recent profile {False}: Show Volume Profile indicator (VP) Avoid label price overlaps {False}: Avoid label prices to overlap on the chart. EXTRA 4 - ZIGNALY SUPPORT (ZIG) Zignaly Alert Type {Email}: 'Email', 'Webhook'. ' Email ': Prepare alert_message variable content to be compatible with zignaly expected email content format. ' Webhook ': Prepare alert_message variable content to be compatible with zignaly expected json content format. EXTRA 5 - DEBUG (DEBUG) Enable debug on order comments {False}: If set to true it prepares the order message to match the alert_message variable. It makes easier to debug what would have been sent by email or webhook on each of the times an order is triggered. HOW TO USE THIS STRATEGY BOT MODE: This is the default setting. PROPER VOLUME PROFILE VIEWING: Click on this strategy settings. Properties tab. Make sure Recalculate 'each time the order was run' is turned off. NEWBIE USER: (Check PROPER VOLUME PROFILE VIEWING above!) You might want to turn on the 'Print recent profile {False}' setting. Alternatively you can use my alternate realtime study: 'Resistances and supports based on simplified Volume Profile' but, be aware, it might consume one indicator. ADVANCED USER 1: Turn on the 'Print price is in range {False}' setting and help us to debug this subindicator. Also help us to figure out how to include this value in the strategy. ADVANCED USER 2: Turn on the all the (SQZDIVER) settings and help us to figure out how to include this value in the strategy. ADVANCED USER 3: (Check PROPER VOLUME PROFILE VIEWING above!) Turn on the 'Print recent profile {False}' setting and report any problem with it. JAIME MERINO: Just use the indicator as it comes by default. It should only show BUY signals, SELL signals and their associated closing signals. From time to time you might want to check 'ADVANCED USER 2' instructions to check that there's actually a divergence. Check also 'ADVANCED USER 1' instructions for your amusement. EXTRA ADVICE It's advised that you use this strategy in addition to these two other indicators: * Squeeze Momentum Indicator * ADX so that your chart matches as close as possible to TradingLatino chart. ZIGNALY INTEGRATION This strategy supports Zignaly email integration by default. It also supports Zignaly Webhook integration. ZIGNALY INTEGRATION - Email integration example What you would write in your alert message: ||{{strategy.order.alert_message}}||key=MYSECRETKEY|| ZIGNALY INTEGRATION - Webhook integration example What you would write in your alert message: { {{strategy.order.alert_message}} , "key" : "MYSECRETKEY" } CREDITS I have reused and adapted some code from 'Directional Movement Index + ADX & Keylevel Support' study which it's from TradingView console user. I have reused and adapted some code from '3ema' study which it's from TradingView hunganhnguyen1193 user. I have reused and adapted some code from 'Squeeze Momentum Indicator ' study which it's from TradingView LazyBear user. I have reused and adapted some code from 'Strategy Tester EMA-SMA-RSI-MACD' study which it's from TradingView fikira user. I have reused and adapted some code from 'Support Resistance MTF' study which it's from TradingView LonesomeTheBlue user. I have reused and adapted some code from 'TF Segmented Linear Regression' study which it's from TradingView alexgrover user. I have reused and adapted some code from "Poor man's volume profile" study which it's from TradingView IldarAkhmetgaleev user. FEEDBACK Please check the strategy source code for more detailed information where, among others, I explain all of the substrats and if they are implemented or not. Q1. Did I understand wrong any of the Jaime substrats (which I have implemented)? Q2. The strategy yields quite profit when we should long (EMA10 from 1d timeframe is higher than EMA55 from 1d timeframe. Why the strategy yields much less profit when we should short (EMA10 from 1d timeframe is lower than EMA55 from 1d timeframe)? Any idea if you need to do something else rather than just reverse what Jaime does when longing? FREQUENTLY ASKED QUESTIONS FAQ1. Why are you giving this strategy for free? TradingLatino and his fellow enthusiasts taught me this strategy. Now I'm giving back to them. FAQ2. Seriously! Why are you giving this strategy for free? I'm confident his strategy might be improved a lot. By keeping it to myself I would avoid other people contributions to improve it. Now that everyone can contribute this is a win-win. FAQ3. How can I connect this strategy to my Exchange account? It seems that you can attach alerts to strategies. You might want to combine it with a paying account which enable Webhook URLs to work. I don't know how all of this works right now so I cannot give you advice on it. You will have to do your own research on this subject. But, be careful. Automating trades, if not done properly, might end on you automating losses. FAQ4. I have just found that this strategy by default gives more than 3.97% of 'maximum series of losses'. That's unacceptable according to my risk management policy. You might want to reduce default stop loss setting from 7% to something like 5% till you are ok with the 'maximum series of losses'. FAQ5. Where can I learn more about your work on this strategy? Check the source code. You might find unused strategies. Either because there's not a substantial increases on earnings. Or maybe because they have not been implemented yet. FAQ6. How much leverage is applied in this strategy? No leverage. FAQ7. Any difference with original Jaime Merino strategy? Most of the times Jaime defines an stop loss at the price entry. That's not the case here. The default stop loss is 7% (but, don't be confused it only means losing 1% of your investment thanks to risk management). There's also a trailing take profit that triggers at 2% profit with a 1% trailing. FAQ8. Why this strategy return is so small? The strategy should be improved a lot. And, well, backtesting in this platform is not guaranteed to return theoric results comparable to real-life returns. That's why I'm personally forward testing this strategy to verify it. MENSAJE EN CASTELLANO En primer lugar se agradece feedback para mejorar la estrategia. Si eres un usuario avanzado y quieres colaborar en mejorar el script no dudes en comentar abajo. Ten en cuenta que aunque toda esta descripción tenga que estar en inglés no es obligatorio que el comentario esté en inglés. CHISTE - CASTELLANO ¡Pero Jaime! ¡400.000! ¡Tu da mun!
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