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在腳本中搜尋"西班牙人VS奥萨苏纳"

RedK_Directional Index / K xDMIHere's a modern take on the famous DMI/ADX. i first wrote this on another platform few years ago, so i'm happy to be able to share it on TradingView quick refresher: what does DMI/ADX tell us: ------------------------------------------------------ in simple terms, at the core of this indicator, there are 3 main calculations / lines: the Plus Directional Index ( +DI ) which represents how much the bulls are able to push the high of a bar compared to previous one, the Minus Directional Index ( -DI ), showing how much the bears are able to push the low of a bar from previous one, then the Average Directional index ( ADX ) line, which creates an oscillator of the +DI and -DI to represent the strength of a trend -- usually the lines will be colored accordingly (bulls = green, bears = red, and any different color for the ADX ) Similar to my version of the RSI , we take a classic concept, then use the computing and visualization "super powers" available to us today, to extend and improve on what those masters created in the past. I guess they sort of expected us to do exactly that :) this "extended" version of DMI/ADX provides couple of highly needed features (in my opinion) -- let's explore: trying as much as possible to avoid jargon - pls forgive me if i failed in some places. ------------------------------------------------------------------------------------------------- 1 - the big change: the ability to visualize the ADX in a way that makes some more sense. - the original calculation restricted the ADX to oscillate below zero - i'm sure they had a good reason to build it that way in the past - but to me, it becomes super hard to interpret what the ADX line means, especially when a negative trend (the bears) take over. by removing that restriction and allowing the ADX to oscillate up or down (and we're free to do that, so the indicator shows *us* what *we need* to see), we end up with an improved representation of the trend and the trend strength. - also the original calculation applies a moving average (default 14 bars) of a moving average (another 14 of the Directional Indexes, which represent the strength of bulls vs bears) to calculate the ADX - that makes the ADX very "removed" from the base price values - i change that, and just smooth the initial +Di / -Di then calculate the ADX from there. again, this shows me the outcome of the (relatively) immediate moves. 2 - i use weighted average WMA () in all my averaging calculations .. i believe this type of average is the best to express the importance of recent days / bars vs the ones further in the past, compared to other averaging techniques 3 - ability to make the DMI volume-weighted .. but contrary to my RSI , this is not set by default. 4 - couple of options to view the unrestricted ADX (as an area or as histogram/columns .. which i call Vertical Bars) for improved visualization other stuff: 5 - a "step" option for the ADX .. you can set the step option to an increment of, say 5 or 10. this is in case you prefer to see the trend more in "quality" terms - so the equivalent of weak, medium, strong, v. strong...etc -- since in reality, a number like 47.7683 doesn't really mean anything specific 6 - optional "strong trend" adjustable level Settings & usage suggestion: ----------------------------------- i prefer to use the defaults (length = 7, smoothing = 3, ..etc) -- i believe these are more suitable to the much faster trading that we have now. you can review the comparison chart and see if this works for you, and adjust as you need. from a "signal" standpoint, you can use the xDMI as you use the classic DMI/ADX, bulls (or bears) are in control when the corresponding DI line crosses the other going up, *AND* moving above the "strong trend" level that you can set as an extra filter (usually a value between 20 to 30), while ADX will show the quality/strength of the trend. i suggest you also utilize this indicator with other trend / momentum confirmation methods, and additional analysis and not in isolation - as well as inspecting the prevailing / longer time frame to ensure you're acting in the direction of the broader move / trend. the above chart includes a side-by-side comparison between our new xDMI with the classic DMI/ADX using the same settings - then we add at the bottom panel also the xDMI, but with my default (faster) settings and showing other visualization options that can be utilized - the Moving Averages on the top / price panel is just to help put the price movement into perspective in terms of trend and trend strength. The code is open and commented - please feel free to use, share, comment & provide feedback. if you're a DMI fan, and you find this useful in your trading, i would be more than happy to hear about it Good luck!
Pine Script®指標
由RedKTrader提供
7
BEST Engulfing + Breakout StrategyHello traders This is a simple algorithm for a Tradingview strategy tracking a convergence of 2 unrelated indicators. Convergence is the solution to my trading problems. It's a puzzle with infinite possibilities and only a few working combinations. Here's one that I like - Engulfing pattern - Price vs Moving average for detecting a breakout Definition Take out the notebooks :) and some coffee (good for focus). I'm bullish in coffee The engulfing pattern is a two-candle reversal pattern. The second candle completely ‘engulfs’ the real body of the first one, without regard to the length of the tail shadows. The bullish Engulfing pattern appears in a downtrend and is a combination of one red candle followed by a larger green candle The bearish Engulfing pattern appears in a downtrend and is a combination of one green candle followed by a larger red candle Example: imgur.com We're bored sir... what's the point of all this? In summary, an engulfing is a pattern to track reversals. (the whole TradingView audience stands up now giving a standing ovation) Adding the Price vs Moving average filters allows to track reversals with momentums (half of the audience collapsed because this is too awesome) Ok sir... you picked up my interest I included some cool backtest filters: - date range filtering - flexible take profit in USD value (plotted in blue) - flexible stop loss in USD value (plotted in red) All the best Dave
Pine Script®策略
由Daveatt提供
22
Premium/Discount (Input)Used to show Contango or Backwardation in futures contracts vs spot price. You can input your own tickers so can technically can be used to compare anything. * In this example I'm showing Okex Quarterly contract vs Okex spot index price because it showcases it better. * If you are using this after 2019 the default setting will not work because I set it to Bitmex which does not currently have a "current contract in front" ticker available. It should be fairly self explanatory, but just ask below if you have any questions.
Pine Script®指標
由Plumptoiletduck提供
8
Volume Profile Free Ultra SLI (100 Levels Value Area VWAP) - RRBVolume Profile Free Ultra SLI by RagingRocketBull 2019 Version 1.0 This indicator calculates Volume Profile for a given range and shows it as a histogram consisting of 100 horizontal bars. This is basically the MAX SLI version with +50 more Pinescript v4 line objects added as levels. It can also show Point of Control (POC), Developing POC, Value Area/VWAP StdDev High/Low as dynamically moving levels. Free accounts can't access Standard TradingView Volume Profile, hence this indicator. There are several versions: Free Pro, Free MAX SLI, Free Ultra SLI, Free History. This is the Free Ultra SLI version. The Differences are listed below: - Free Pro: 25 levels, +Developing POC, Value Area/VWAP High/Low Levels, Above/Below Area Dimming - Free MAX SLI: 50 levels, 2x SLI modes for Buy/Sell or even higher res 150 levels - Free Ultra SLI: 100 levels, packed to the limit, 2x SLI modes for Buy/Sell or even higher res 300 levels - Free History: auto highest/lowest, historic poc/va levels for each session Features: - High-Res Volume Profile with up to 100 levels (line implementation) - 2x SLI modes for even higher res: 300 levels with 3x vertical SLI, 100 buy/sell levels with 2x horiz SLI - Calculate Volume Profile on full history - POC, Developing POC Levels - Buy/Sell/Total volume modes - Side Cover - Value Area, VAH/VAL dynamic levels - VWAP High/Low dynamic levels with Source, Length, StdDev as params - Show/Hide all levels - Dim Non Value Area Zones - Custom Range with Highlighting - 3 Anchor points for Volume Profile - Flip Levels Horizontally - Adjustable width, offset and spacing of levels - Custom Color for POC/VA/VWAP levels, Transparency for buy/sell levels WARNING: - Compilation Time: 1 min 20 sec Usage: - specify max_level/min_level/spacing (required) - select range (start_bar, range length), confirm with range highlighting - select volume type: Buy/Sell/Total - select mode Value Area/VWAP to show corresponding levels - flip/select anchor point to position the buy/sell levels - use Horiz Buy/Sell SLI mode with 100 or Vertical SLI with 300 levels if needed - use POC/Developing POC/VA/VWAP High/Low as S/R levels. Usually daily values from 1-3 days back are used as levels for the current day. SLI: use SLI modes to extend the functionality of the indicator: - Horiz Buy/Sell 2x SLI lets you view 100 Buy/Sell Levels at the same time - Vertical Max_Vol 3x SLI lets you increase the resolution to 300 levels - you need at least 2 instances of the indicator attached to the same chart for SLI to work 1) Enable Horiz SLI: - attach 2 indicator instances to the chart - make sure all instances have the same min_level/max_level/range/spacing settings - select volume type for each instance: you can have a buy/sell or buy/total or sell/total SLI. Make sure your buy volume instance is the last attached to be displayed on top of sell/total instances without overlapping. - set buy_sell_sli_mode to true for indicator instances with volume_type = buy/sell, for type total this is optional. - this basically tells the script to calculate % lengths based on total volume instead of individual buy/sell volumes and use ext offset for sell levels - Sell Offset is calculated relative to Buy Offset to stack/extend sell after buy. Buy Offset = Zero - Buy Length. Sell Offset = Buy Offset - Sell Length = Zero - Buy Length - Sell Length - there are no master/slave instances in this mode, all indicators are equal, poc/va levels are not affected and can work independently, i.e. one instance can show va levels, another - vwap. 2) Enable Vertical SLI: - attach the first instance and evaluate the full range to roughly determine where is the highest max_vol/poc level i.e. 0..20000, poc is in the bottom half (third, middle etc) or - add more instances and split the full vertical range between them, i.e. set min_level/max_level of each corresponding instance to 0..10000, 10000..20000 etc - make sure all instances have the same range/spacing settings - an instance with a subrange containing the poc level of the full range is now your master instance (bottom half). All other instances are slaves, their levels will be calculated based on the max_vol/poc of the master instance instead of local values - set show_max_vol_sli to true for the master instance. for slave instances this is optional and can be used to check if master/slave max_vol values match and slave can read the master's value. This simply plots the max_vol value - you can also attach all instances and set show_max_vol_sli to true in all of them - the instance with the largest max_vol should become the master Auto/Manual Ext Max_Vol Modes: - for auto vertical max_vol SLI mode set max_vol_sli_src in all slave instances to the max_vol of the master indicator: "VolumeProfileFree_MAX_RRB: Max Volume for Vertical SLI Mode". It can be tricky with 2+ instances - in case auto SLI mode doesn't work - assign max_vol_sli_ext in all slave instances the max_vol value of the master indicator manually and repeat on each change - manual override max_vol_sli_ext has higher priority than auto max_vol_sli_src when both values are assigned, when they are 0 and close respectively - SLI is disabled - master/slave max_vol values must match on each bar at all times to maintain proper level scale, otherwise slave's levels will look larger than they should relative to the master's levels. - Max_vol (red) is the last param in the long list of indicator outputs - the only true max_vol/poc in this SLI mode is the master's max_vol/poc. All poc/va levels in slaves will be irrelevant and are disabled automatically. Slaves can only show VWAP levels. - VA Levels of the master instance in this SLI mode are calculated based on the subrange, not the whole range and may be inaccurate. Cross check with the full range. WARNING! - auto mode max_vol_sli_src is experimental and may not work as expected - you can only assign auto mode max_vol_sli_src = max_vol once due to some bug with unhandled exception/buffer overflow in Tradingview. Seems that you can clear the value only by removing the indicator instance - sometimes you may see a "study in error state" error when attempting to set it back to close. Remove indicator/Reload chart and start from scratch - volume profile may not finish to redraw and freeze in an ugly shape after an UI parameter change when max_vol_sli_src is assigned a max_vol value. Assign it to close - VP should redraw properly, but it may not clear the assigned max_vol value - you can't seem to be able to assign a proper auto max_vol value to the 3rd slave instance - 2x Vertical SLI works and tested in both auto/manual, 3x SLI - only manual seems to work (you can have a mixed mode: 2nd instance - auto, 3rd - manual) Notes: - This code uses Pinescript v3 compatibility framework - This code is 20x-30x faster (main for cycle is removed) especially on lower tfs with long history - only 4-5 sec load/redraw time vs 30-60 sec of the old Pro versions - Instead of repeatedly calculating the total sum of volumes for the whole range on each bar, vol sums are now increased on each bar and passed to the next in the range making it a per range vs per bar calculation that reduces time dramatically - 100 levels consist of 50 main plot levels and 50 line objects used as alternate levels, differences are: - line objects are always shown on top of other objects, such as plot levels, zero line and side cover, it's not possible to cover/move them below. - all line objects have variable lengths, use actual x,y coords and don't need side cover, while all plot levels have a fixed length of 100 bars, use offset and require cover. - all key properties of line objects, such as x,y coords, color can be modified, objects can be moved/deleted, while this is not possible for static plot levels. - large width values cause line objects to expand only up/down from center while their length remains the same and stays within the level's start/end points similar to an area style. - large width values make plot levels expand in all directions (both h/v), beyond level start/end points, sometimes overlapping zero line, making them an inaccurate % length representation, as opposed to line objects/plot levels with area style. - large width values translate into different widths on screen for line objects and plot levels. - you can't compensate for this unwanted horiz width expansion of plot levels because width uses its own units, that don't translate into bars/pixels. - line objects are visible only when num_levels > 50, plot levels are used otherwise - Since line objects are lines, plot levels also use style line because other style implementations will break the symmetry/spacing between levels. - if you don't see a volume profile check range settings: min_level/max_level and spacing, set spacing to 0 (or adjust accordingly based on the symbol's precision, i.e. 0.00001) - you can view either of Buy/Sell/Total volumes, but you can't display Buy/Sell levels at the same time using a single instance (this would 2x reduce the number of levels). Use 2 indicator instances in horiz buy/sell sli mode for that. - Volume Profile/Value Area are calculated for a given range and updated on each bar. Each level has a fixed length. Offsets control visible level parts. Side Cover hides the invisible parts. - Custom Color for POC/VA/VWAP levels - UI Style color/transparency can only change shape's color and doesn't affect textcolor, hence this additional option - Custom Width - UI Style supports only width <= 4, hence this additional option - POC is visible in both modes. In VWAP mode Developing POC becomes VWAP, VA High and Low => VWAP High and Low correspondingly to minimize the number of plot outputs - You can't change buy/sell level colors from input (only transparency) - this requires 2x plot outputs => 2x reduces the number of levels to fit the max 64 limit. That's why 2 additional plots are used to dim the non Value Area zones - You can change level transparency of line objects. Due to Pinescript limitations, only discrete values are supported. - Inverse transp correlation creates the necessary illusion of "covered" line objects, although they are shown on top of the cover all the time - If custom lines_transp is set the illusion will break because transp range can't be skewed easily (i.e. transp 0..100 is always mapped to 100..0 and can't be mapped to 50..0) - transparency can applied to lines dynamically but nva top zone can't be completely removed because plot/mixed type of levels are still used when num_levels < 50 and require cover - transparency can't be applied to plot levels dynamically from script this can be done only once from UI, and you can't change plot color for the past length bars - All buy/sell volume lengths are calculated as % of a fixed base width = 100 bars (100%). You can't set show_last from input to change it - Range selection/Anchoring is not accurate on charts with time gaps since you can only anchor from a point in the future and measure distance in time periods, not actual bars, and there's no way of knowing the number of future gaps in advance. - Adjust Width for Log Scale mode now also works on high precision charts with small prices (i.e. 0.00001) - in Adjust Width for Log Scale mode Level1 width extremes can be capped using max deviation (when level1 = 0, shift = 0 width becomes infinite) - There's no such thing as buy/sell volume, there's just volume, but for the purposes of the Volume Profile method, assume: bull candle = buy volume, bear candle = sell volume P.S. I am your grandfather, Luke! Now, join the Dark Side in your father's steps or be destroyed! Once more the Sith will rule the Galaxy, and we shall have peace...
Pine Script®指標
由RagingRocketBull提供
112
Volume Profile Free MAX SLI (50 Levels Value Area VWAP) by RRBVolume Profile Free MAX SLI by RagingRocketBull 2019 Version 1.0 All available Volume Profile Free MAX SLI versions are listed below (They are very similar and I don't want to publish them as separate indicators): ver 1.0: style columns implementation ver 2.0: style histogram implementation ver 3.0: style line implementation This indicator calculates Volume Profile for a given range and shows it as a histogram consisting of 50 horizontal bars. It can also show Point of Control (POC), Developing POC, Value Area/VWAP StdDev High/Low as dynamically moving levels. Free accounts can't access Standard TradingView Volume Profile, hence this indicator. There are several versions: Free Pro, Free MAX SLI, Free History. This is the Free MAX SLI version. The Differences are listed below: - Free Pro: 25 levels, +Developing POC, Value Area/VWAP High/Low Levels, Above/Below Area Dimming - Free MAX SLI: 50 levels, packed to the limit, 2x SLI modes for Buy/Sell or even higher res 150 levels - Free History: auto highest/lowest, historic poc/va levels for each session Features: - High-Res Volume Profile with up to 50 levels (3 implementations) - 20-30x faster than the old Pro versions especially on lower tfs with long history - 2x SLI modes for even higher res: 150 levels with 3x vertical SLI, 50 buy/sell levels with 2x horiz SLI - Calculate Volume Profile on full history - POC, Developing POC Levels - Buy/Sell/Total volume modes - Side Cover - Value Area, VAH/VAL dynamic levels - VWAP High/Low dynamic levels with Source, Length, StdDev as params - Show/Hide all levels - Dim Non Value Area Zones - Custom Range with Highlighting - 3 Anchor points for Volume Profile - Flip Levels Horizontally - Adjustable width, offset and spacing of levels - Custom Color for POC/VA/VWAP levels and Transparency for buy/sell levels Usage: - specify max_level/min_level/spacing (required) - select range (start_bar, range length), confirm with range highlighting - select volume type: Buy/Sell/Total - select mode Value Area/VWAP to show corresponding levels - flip/select anchor point to position the buy/sell levels - use Horiz SLI mode for 50 Buy/Sell or Vertical SLI for 150 levels if needed - use POC/Developing POC/VA/VWAP High/Low as S/R levels. Usually daily values from 1-3 days back are used as levels for the current day. SLI: - use SLI modes to extend the functionality of the indicator: - Horiz Buy/Sell 2x SLI lets you view 50 Buy/Sell Levels at the same time - Vertical Max_Vol 3x SLI lets you increase the resolution to 150 levels - you need at least 2 instances of the indicator attached to the same chart for SLI to work 1) Enable Horiz SLI: - attach 2 indicator instances to the chart - make sure all instances have the same min_level/max_level/range/spacing settings - select volume type for each instance: you can have a buy/sell or buy/total or sell/total SLI. Make sure your buy volume instance is the last attached to be displayed on top of sell/total instances without overlapping. - set buy_sell_sli_mode to true for indicator instances with volume_type = buy/sell, for type total this is optional. - this basically tells the script to calculate % lengths based on total volume instead of individual buy/sell volumes and use ext offset for sell levels - Sell Offset is calculated relative to Buy Offset to stack/extend sell after buy. Buy Offset = Zero - Buy Length. Sell Offset = Buy Offset - Sell Length = Zero - Buy Length - Sell Length - there are no master/slave instances in this mode, all indicators are equal, poc/va levels are not affected and can work independently, i.e. one instance can show va levels, another - vwap. 2) Enable Vertical SLI: - attach the first instance and evaluate the full range to roughly determine where is the highest max_vol/poc level i.e. 0..20000, poc is in the bottom half (third, middle etc) or - add more instances and split the full vertical range between them, i.e. set min_level/max_level of each corresponding instance to 0..10000, 10000..20000 etc - make sure all instances have the same range/spacing settings - an instance with a subrange containing the poc level of the full range is now your master instance (bottom half). All other instances are slaves, their levels will be calculated based on the max_vol/poc of the master instance instead of local values - set show_max_vol_sli to true for the master instance. for slave instances this is optional and can be used to check if master/slave max_vol values match and slave can read the master's value. This simply plots the max_vol value - you can also attach all instances and set show_max_vol_sli to true in all of them - the instance with the largest max_vol should become the master Auto/Manual Ext Max_Vol Modes: - for auto vertical max_vol SLI mode set max_vol_sli_src in all slave instances to the max_vol of the master indicator: "VolumeProfileFree_MAX_RRB: Max Volume for Vertical SLI Mode". It can be tricky with 2+ instances - in case auto SLI mode doesn't work - assign max_vol_sli_ext in all slave instances the max_vol value of the master indicator manually and repeat on each change - manual override max_vol_sli_ext has higher priority than auto max_vol_sli_src when both values are assigned, when they are 0 and close respectively - SLI is disabled - master/slave max_vol values must match on each bar at all times to maintain proper level scale, otherwise slave's levels will look larger than they should relative to the master's levels. - Max_vol (red) is the last param in the long list of indicator outputs - the only true max_vol/poc in this SLI mode is the master's max_vol/poc. All poc/va levels in slaves will be irrelevant and are disabled automatically. Slaves can only show VWAP levels. - VA Levels of the master instance in this SLI mode are calculated based on the subrange, not the whole range. Cross check with the full range. WARNING! - auto mode max_vol_sli_src is experimental and may not work as expected - you can only assign auto mode max_vol_sli_src = max_vol once due to some bug with unhandled exception/buffer overflow in Tradingview. Seems that you can clear the value only by removing the indicator instance - sometimes you may see a "study in error state" error when attempting to set it back to close. Remove indicator/Reload chart and start from scratch - volume profile may not finish to redraw and freeze in an ugly shape after an UI parameter change when max_vol_sli_src is assigned a max_vol value. Assign it to close - VP should redraw properly, but it may not clear the assigned max_vol value - you can't seem to be able to assign a proper auto max_vol value to the 3rd slave instance - 2x Vertical SLI works and tested in both auto/manual, 3x SLI - only manual seems to work Notes: - This code is 20x-30x faster (main for cycle is removed) especially on lower tfs with long history - only 2-3 sec load/redraw time vs 30-60 sec of the old Pro versions - Instead of repeatedly calculating the total sum of volumes for the whole range on each bar, vol sums are now increased on each bar and passed to the next in the range making it a per range vs per bar calculation that reduces time dramatically - hist_base for levels still results is ugly redraw - if you don't see a volume profile check range settings: min_level/max_level and spacing, set spacing to 0 (or adjust accordingly based on the symbol's precision, i.e. 0.00001) - you can view either of Buy/Sell/Total volumes, but you can't display Buy/Sell levels at the same time using a single instance (this would 2x reduce the number of levels). Use 2 indicator instances in horiz buy/sell sli mode for that. - Volume Profile/Value Area are calculated for a given range and updated on each bar. Each level has a fixed length. Offsets control visible level parts. Side Cover hides the invisible parts. - Custom Color for POC/VA/VWAP levels - UI Style color/transparency can only change shape's color and doesn't affect textcolor, hence this additional option - Custom Width - UI Style supports only width <= 4, hence this additional option - POC is visible in both modes. In VWAP mode Developing POC becomes VWAP, VA High and Low => VWAP High and Low correspondingly to minimize the number of plot outputs - You can't change buy/sell level colors from input (only plot transparency) - this requires 2x plot outputs => 2x reduces the number of levels to fit the max 64 limit. That's why 2 additional plots are used to dim the non Value Area zones - All buy/sell volume lengths are calculated as % of a fixed base width = 100 bars (100%). You can't set show_last from input to change it - There's no such thing as buy/sell volume, there's just volume, but for the purposes of the Volume Profile method, assume: bull candle = buy volume, bear candle = sell volume P.S. Gravitonium Levels Are Increasing. Unobtainium is nowhere to be found! Links on Volume Profile and Value Area calculation and usage: www.tradingview.com stockcharts.com onlinelibrary.wiley.com
Pine Script®指標
由RagingRocketBull提供
25
ST_Trend_ReversalSTRONG TREND REVERSAL INDICATOR The code is the percentage difference between the spot price of a given financial asset and its 200-day MA of that period. My standard setup is Daily, and I think it's got very good predictive power at that timeframe. It can be read in two ways: 1. Values extremely above or below the 200-period MA present chances of buying/selling agains the prevailing trend. 2. Values closely above or below the 200-period MA are make-or-break market periods, where a medium-term trend becomes evident. Breaks above or below the MA are associated with strong chances of directional movements. But it's not fool-proof as false breaks have become commonplace nowadays. Other way to use it is as confirmation of breakdowns: For example, an asset that loses its 200-day MA and then can't rally above it becomes exposed to steep losses afterwards. It's also helpful to use in volatility trading: the closer the asset goes to its MA, the lower goes implied vol, and thus better opportiunities to be long volatility on those occasions where direction is hard to predict. STRI = close/(200dMA) Values over 100 indicate percentage premiums of spot vs its moving average. Values below indicate percentage discounts of spot vs its moving average.
Pine Script®指標
由Daniel_Urdaneta提供
2
Ersoy-intersection(Kesisme)-Update-1website: www.ersoytoptas.com Newspaper : tr.investing.com hi , Friends i wanna be someone who wants to help everyone updated my script he published some time ago. What happened? * intersection When ever Bar Color Yellow Be * Alarms to be more comprehensible * Short and Long Days Choosing a Opportunities * Source Opportunities All Charts Usable( Example ;15,30,60 ... vs) and ALL MARKETS ( Stocks , forex , ... vs) i strive to improve further Easy to get
Pine Script®指標
由Lemnos提供
8
Ethereum Sleepy Wallets – 6-Month DormancyWhat This Indicator Does It measures how many Ethereum addresses have been completely inactive for at least 6 months (≥ 180 days) — using official Glassnode and CryptoQuant on-chain metrics. This reveals deep conviction among long-term ETH holders Core Concept: Direct 6-Month Dormancy The indicator uses two precise on-chain signals: Total Unique ETH Addresses From GLASSNODE:ETH_ADDRESSES or CRYPTOQUANT:ETH_TOTAL_ADDRESSES Counts every address ever used on Ethereum Addresses Inactive ≥ 180 Days From GLASSNODE:ETH_ADDRESSES_GREATER_THAN_180_DAYS Counts every address that has not sent or received ETH in 6+ months Sleepy ETH = Dormant ≥ 180 Days Sleepy Ratio % = (Sleepy / Total) × 100 This is not an estimate — it’s direct, real dormancy. Why 6-Month Dormancy Matters Short-term activity (7-day) = noise from DeFi, NFTs, trading 180-day inactivity = true HODLing — coins untouched through entire market cycles Historically: Rising dormancy → supply drying up → bullish pressure Falling dormancy → long-term holders selling → bearish warning How It Works (Step-by-Step) Fetches daily data from Glassnode (Pro+) or CryptoQuant (free) Selects real data if available; otherwise uses robust fallback Calculates raw sleepy wallets = addresses inactive ≥ 180 days Smooths the signal with a 21-day simple moving average (SMA) to filter noise Computes Sleepy Ratio % for instant conviction reading Displays live info table with exact values on every bar How to Use It Signal Interpretation Suggested Action Sleepy Ratio > 75% and rising Extreme long-term HODLing Strong accumulation — buy/hold Smooth Sleepy trending up Dormancy growing over 21 days Bullish supply shock forming Sleepy Ratio < 68% and falling Long-term coins re-entering circulation Caution — possible distribution Smooth Sleepy dropping fast HODLers breaking after 6+ months Bearish warning — consider exits Use on Daily (D) or Weekly (W) charts for clean, reliable signals. Pro+ vs Free Mode Mode Data Source Accuracy Pro+ (Glassnode ON) Real 180-day dormancy metric 100% precise Free (Glassnode OFF) CryptoQuant + price-scaled estimate ~80% historical correlation Toggle in settings: Use Glassnode Data What Makes This Indicator Original First open-source script to directly plot Ethereum’s 6-month dormancy using official ADDRESSES_GREATER_THAN_180_DAYS No fake math — uses true inactivity, not active address subtraction Dual-source logic ensures usability on any TradingView plan Dual output: raw sleepy count + 21-day SMA for precision and trend Live info table shows real-time values and data source
Pine Script®指標
由bristleconewealth提供
Dynamic Liquidity HeatMap Profile [BigBeluga]🔵 OVERVIEW The Dynamic Liquidity HeatMap Profile is a smart-flow liquidity tracker that maps where stop-loss clusters and resting limit orders are likely positioned. Instead of traditional volume profiles based only on executed transactions, this tool projects probable liquidity pools — areas where traders are trapped or positioned and where smart money may hunt stops or fill orders. It dynamically scans recent price swings, builds liquidity zones above and below price, and visualizes them as a heat map + histogram — highlighting areas with the greatest liquidity attraction. Orange highlights the highest-concentration liquidity (POC), making potential sweep targets obvious. 🔵 CONCEPTS Liquidity pools form above swing highs (buy stops) and below swing lows (sell stops). Market makers & large players often push price into these zones to trigger stops and capture liquidity. The indicator uses recent volatility + volume expansion to estimate where these pools exist. Horizontal heat bars show depth and intensity of probable liquidity. Profile side histogram displays buy-side vs sell-side liquidity distribution. 🔵 FEATURES Dynamic Liquidity Detection — finds potential stop-loss clusters from recent swing behavior. Dual-Side Heatmap — split liquidity view above (short stops) and below (long stops) current price. Volume-Weighted Levels — higher volatility & volume = deeper liquidity expectation. Real-Time Heat Coloring • Lime = liquidity below price (potential buy-side fuel) • Blue = liquidity above price (potential sell-side fuel) • Orange = peak liquidity (POC) Liquidity Profile Histogram — plotted at right side, layered by strength. Auto-Cleaning Engine — removes invalidated liquidity after breaks. Adjustable lookback window and bin resolution . 🔵 HOW TO USE Look for price moving toward dense liquidity zones — high probability of wick raids or sweeps. Orange POC often acts as magnet — strong target zone for smart money. Combine with SFP / BOS logic to time reversals after liquidity hunts. In trend, price repeatedly sweeps opposite-side liquidity before continuation. Use liquidity walls as bias filters — heavy liquidity above often precedes downward move, and vice-versa. Great for scalping sessions, indices, FX, BTC, ETH. 🔵 CONCLUSION The Dynamic Liquidity HeatMap Profile gives traders a tactical edge by revealing where the market’s hidden liquidity resides. It highlights where shorts and longs are positioned, identifies likely sweep zones, and marks the most attractive liquidity magnet (POC). Use it to anticipate stop hunts, avoid getting trapped, and align with smart-money flow instead of fighting it.
Pine Script®指標
由BigBeluga提供
19
BUY LOW, BUY MORE, SELL HIGH -BUFFET STRATEGY LITE__________________________________________________________________________ Buy Low, Buy More, Sell High With Buffett Meter (LITE – JTMarketAI) __________________________________________________________________________ Category: Quantitative Momentum & Liquidity Flow Author: JTMarketAI Architecture: Non-Repainting This strategy accumulates into validated pullbacks during fear cycles, scales intelligently as price declines into liquidity support, and exits when momentum weakens after meaningful run-ups. It uses synthetic higher-timeframe OHLC data (non-repainting), liquidity imbalance confirmation, adaptive KAMA trend logic, RSI validation, and a live Buffett macro valuation gauge. This is a patient, conviction-based accumulation engine designed for equities. It is not a scalp bot. __________________________________________________________________________ Core Features __________________________________________________________________________ Non-repainting (confirmed bars only) Synthetic HTF OHLC (no lookahead) Dynamic trailing exit preserves ~80–87% of peak profit Bull vs Bear liquidity dominance and flow imbalance Rolling lowest-low tracking (LLL) NY-session alignment (default) Buffett Macro Meter integration Technical Highlights Flow-confidence derived from volume-order pressure Adaptive KAMA smoothing for lower-lag confirmation Daily > Weekly > Monthly synthetic aggregation LLL progression display for trend exhaustion Fully profiler-optimized Supports averaging down when pyramiding enabled __________________________________________________________________________ Why It Does Not Repaint __________________________________________________________________________ All state updates occur only on confirmed bars Synthetic HTFs built without lookahead Persistent arrays freeze historical values Trailing highs updated only after confirmation No forward-reference to future bars __________________________________________________________________________ Lite Edition Notes __________________________________________________________________________ Manual trading focused Buffett Meter enabled Up to 20 trades per session Visual dashboard included No alerts, automation, or webhooks (PRO unlocks IBKR + TradersPost) __________________________________________________________________________ Limitations __________________________________________________________________________ Best on intraday equities (1m–4h) Designed for US stocks only High-resource if full visuals enabled Avoid penny stocks and extremely low-volume tickers Does not guard against after-hours gaps or major news moves __________________________________________________________________________ Warnings __________________________________________________________________________ Contrarian scaling requires discipline and patience Expect longer-duration trades, not rapid scalps Use on quality tickers unlikely to permanently collapse Confirm price behavior outside cash session Test manually before automating anything Not suitable for every market environment or asset Notes on Philosophy This strategy attempts to accumulate when markets overshoot lower, and distribute after recovery momentum fades. It reflects a patient, value-driven approach built on the principle of buying fear and reducing exposure into strength. __________________________________________________________________________ Disclaimer __________________________________________________________________________ For research and educational use only. Not financial advice. Past performance does not guarantee future results. Test thoroughly and use appropriate risk management. __________________________________________________________________________ Hashtags __________________________________________________________________________ #buffett #quantstrategy #valuemomentum #accumulation #contrarian #nonrepaint #equitystrategy #swingtrading #liquidityanalysis #synthetichtf #tradingviewstrategy
Pine Script®策略
由JTMarketAI提供
1
BUY LOW, BUY MORE, SELL HIGH - MARKET FLOW STRATEGY LITE TV Description - Buffett Meter Lite body{font-family:Arial,Helvetica,sans-serif;max-width:900px;margin:32px auto;line-height:1.4} h1,h2{margin:16px 0 8px} Buy Low, Buy More, Sell High With Buffett Meter (Lite v1283 – JTM) Category: Quantitative Momentum & Liquidity Flow Author: JTM Architecture: Non-Repainting This strategy accumulates into validated pullbacks during fear cycles, scales intelligently as price declines into liquidity support, and exits when momentum weakens after meaningful run-ups. It uses synthetic higher-timeframe OHLC data (non-repainting), liquidity imbalance confirmation, adaptive KAMA trend logic, RSI validation, and a live Buffett macro valuation gauge. This is a patient, conviction-based accumulation engine designed for equities. It is not a scalp bot. Core Features Non-repainting (confirmed bars only) Synthetic HTF OHLC (no lookahead) Dynamic trailing exit preserves ~80–87% of peak profit Bull vs Bear liquidity dominance and flow imbalance Rolling lowest-low tracking (LLL) NY-session alignment (default) Buffett Macro Meter integration Technical Highlights Flow-confidence derived from volume-order pressure Adaptive KAMA smoothing for lower-lag confirmation Daily &gt; Weekly &gt; Monthly synthetic aggregation LLL progression display for trend exhaustion Fully profiler-optimized Supports averaging down when pyramiding enabled Why It Does Not Repaint All state updates occur only on confirmed bars Synthetic HTFs built without lookahead Persistent arrays freeze historical values Trailing highs updated only after confirmation No forward-reference to future bars Lite Edition Notes Manual trading focused Buffett Meter enabled Limit of 20 trades per session Buffet Meter dashboard included No alerts, automation, or webhooks (PRO unlocks IBKR + TradersPost) Limitations Best on intraday equities (1m–4h) Designed for US stocks only High-resource if full visuals enabled Avoid penny stocks and extremely low-volume tickers Does not guard against after-hours gaps or major news moves Warnings Contrarian scaling requires discipline and patience Expect longer-duration trades, not rapid scalps Use on quality tickers unlikely to permanently collapse Confirm price behavior outside cash session Test manually before automating anything Not suitable for every market environment or asset Notes on Philosophy This strategy attempts to accumulate when markets overshoot lower, and distribute after recovery momentum fades. It reflects a patient, value-driven approach built on the principle of buying fear and reducing exposure into strength. This is edge-based, not “trade every wiggle” logic “Be fearful when others are greedy, and greedy when others are fearful.” — Buffett “The stock market transfers money from the impatient to the patient.” — Buffett Disclaimer For research and educational use only. Not financial advice. Past performance does not guarantee future results. Test thoroughly and use appropriate risk management. Hashtags #buffett #quantstrategy #valuemomentum #accumulation #contrarian #nonrepaint #equitystrategy #swingtrading #liquidityanalysis #synthetichtf #tradingviewstrategy
Pine Script®策略
由JTMarketAI提供
1
Yang-Zhang Volatility (YZVol) by CoryP1990 – Quant ToolkitThe Yang-Zhang Volatility (YZVol) estimator measures realized volatility using both overnight gaps and intraday moves. It combines three components: overnight returns, open-to-close returns, and the Rogers–Satchell term, weighted by Zhang’s k to reduce bias. How to read it Line color: Green when YZVol is rising (volatility expansion), Red when falling (volatility compression). Background: Green tint = above High-vol threshold (active regime). Red tint = below Low-vol threshold (quiet regime). Units: Displays Daily % by default on any timeframe (values are normalized to daily). An optional toggle shows Annualized % (√252 × Daily %). Typical uses Spot transitions between quiet and active regimes. Compare realized vol vs implied vol or a risk-target. Adapt position sizing to volatility clustering. Defaults Length = 20 High-vol threshold = 5% (Daily) Low-vol threshold = 1% (Daily) Optional: Annualized % display Example — SPY (1D) During the 2020 crash, YZVol surged to 5.8 % per day, capturing the height of pandemic-era volatility before compressing into a calm regime through 2021. Volatility re-expanded in 2022 due to reinflamed COVID fears and gradually stabilized through 2023. A sharp, liquidity-driven volatility event in August 2024 caused another brief YZVol surge, reflecting the historic one-day VIX spike triggered by market-wide risk-off flows and thin pre-market liquidity. A second, policy-driven expansion followed in April–May 2025, coinciding with the renewed U.S.–China tariff conflict and a sharp equity pullback. Since mid-2025, YZVol has settled near 1 % per day, with the red background confirming that realized volatility has once again compressed into a quiet, low-risk regime. Part of the Quant Toolkit — transparent, open-source indicators for modern quantitative analysis. Built by CoryP1990.
Pine Script®指標
由CoryP1990提供
Ulcer Index (UI) by CoryP1990 – Quant ToolkitThe Ulcer Index measures downside volatility, i.e. how deep and persistent drawdowns are from recent highs. Unlike standard deviation, which treats upside and downside equally, the Ulcer Index focuses purely on pain . It’s a favorite of risk-adjusted performance metrics like the Martin Ratio. How it works Computes the RMS (root-mean-square) of drawdowns over a look-back window. Rising UI → drawdowns worsening (stress increasing). Falling UI → drawdowns shrinking (recovery phase). Red line = Ulcer Index rising. Lime line = Ulcer Index falling. Red background = High-risk regime (above threshold). Green background = Low-risk regime (below threshold). Use cases Gauge portfolio stress levels and timing of recovery phases. Identify “calm vs storm” periods for position sizing. Combine with volatility or sentiment measures for regime classification. Defaults Length = 14 High-risk threshold = 10 Low-risk threshold = 5 Example — NVIDIA (NVDA, 1D) During the sharp decline through 2022, the Ulcer Index repeatedly spiked above 10 while the background turned red, highlighting an extended high-stress drawdown phase. As NVDA began recovering in early 2023, the UI line switched to lime and drifted below 5, marking a transition into a low-risk regime. Throughout 2024–2025, the index stayed mostly sub-5 with brief red pulses on minor corrections, which is clear evidence that downside volatility has remained contained during the broader uptrend. Part of the Quant Toolkit - a series of transparent, open-source indicators designed for professional-grade analytics and education. Built by CoryP1990.
Pine Script®指標
由CoryP1990提供
Monthly Color Marker V4 ## 📊 Monthly Color Marker - Historical Month Highlighting ### Overview A unique indicator that allows rapid identification of all monthly candles from a specific month across multiple years. The indicator marks candles with different colors based on their direction (bullish/bearish), enabling quick analysis of seasonal patterns and cyclical behavior of stocks or assets. ### 🎯 Purpose - **Identify Seasonal Patterns (Seasonality)** - Discover recurring trends in specific months - **Quick Historical Analysis** - Visual representation of monthly performance over the years - **Direction Recognition** - Instant understanding of whether a month tends to be bullish or bearish - **Seasonal Trading Planning** - Build strategies based on cyclical patterns ### ⚙️ Adjustable Parameters 1. **Month to Mark (1-12)** - Select the desired month for analysis - 1 = January, 2 = February... 12 = December - Default: 11 (November) 2. **Years Back (1-50)** - Determines how many years back to scan - Recommended: 10-25 years for statistically reliable data - Default: 25 years 3. **Bullish Candle Color** - Color for marking bullish candles (close > open) - Default: Green - Customizable to your personal color scheme 4. **Bearish Candle Color** - Color for marking bearish candles (close < open) - Default: Red - Customizable to your personal color scheme 5. **Show Current Year** - Whether to include the current month in the marking - Useful when the month hasn't finished yet - Default: Yes ### 📈 How to Use the Indicator #### Step 1: Adding to Chart 1. Switch to **Monthly timeframe** - Required! 2. Add the indicator to your chart 3. Select the month you want to analyze #### Step 2: Initial Analysis - **Count green vs red candles** - What's the ratio? - **Look for patterns** - Are there years where the month always rises/falls? - **Identify outliers** - Years where behavior was different #### Step 3: Making Decisions - **Mostly green** → Statistically, the month tends to rise - **Mostly red** → Statistically, the month tends to fall - **Mixed** → No clear seasonal pattern ### 💡 Usage Examples **Example 1: "Santa Claus Rally"** - Select month 12 (December) - Check if there are mostly green candles - If yes, this confirms the well-known year-end rally effect **Example 2: "September Effect"** - Select month 9 (September) - Historically, September is considered a weak month - Do the data support this for this stock? **Example 3: Quarterly Earnings** - Identify which month earnings are released - Check the historical response - Plan entry/exit accordingly ### 🔍 Combining with Other Indicators This indicator works excellently with: - **Historical Monthly Levels** (the first indicator) - Identify nearby price levels - **Volume Profile** - Check volume during those months - **RSI/MACD** - Identify momentum strength in specific months ### ⚠️ Important Notes 1. **Must use Monthly timeframe!** The indicator won't work correctly on other timeframes 2. **Statistical Sample** - More years = more reliable analysis 3. **Not a Guarantee** - Past performance doesn't guarantee future results, use additional analysis 4. **Adjust Colors** - If hard to see, change colors in settings ### 🎨 Tips for Optimal Experience - **Zoom Out** - See more years at a glance - **Clean Chart** - Remove unnecessary indicators for clear analysis - **Compare Stocks** - Check multiple stocks for the same month - **Document Findings** - Take screenshots and save insights for future reference ### 📊 Recommended Statistics After identifying an interesting month: - Calculate success rate (green / total candles) - Check average volatility - Identify outlier years and investigate what happened - Plan entry/exit strategy ### 🚀 Who Is This Indicator For? ✅ **Swing Traders** - Plan medium-term trades ✅ **Seasonal Investors** - Exploit cyclical patterns ✅ **Technical Analysts** - Understand historical behavior ✅ **Portfolio Managers** - Time entries and exits --- ### 📝 Summary The Monthly Color Marker indicator is a powerful and easy-to-use tool for identifying seasonal patterns. The combination of clear visualization with flexible parameters makes it an essential tool for any trader seeking a statistical edge in the market. **Recommendation:** Start with 25 years back, analyze 2-3 key months, and build a data-driven strategy. --- **Version:** 4.0 **Compatibility:** Pine Script v5 **Timeframe:** Monthly only **Author:** 954 ## 📊 Monthly Color Marker - סימון חודשים היסטוריים ### תיאור כללי אינדיקטור ייחודי המאפשר לזהות במהירות את כל הנרות החודשיים מחודש ספציפי לאורך השנים. האינדיקטור מסמן את הנרות בצבעים שונים בהתאם לכיוון התנועה (עלייה/ירידה), ומאפשר ניתוח מהיר של דפוסים עונתיים והתנהגות מחזורית של המניה או הנכס. ### 🎯 מטרת האינדיקטור - **זיהוי דפוסים עונתיים (Seasonality)** - מציאת מגמות חוזרות בחודשים מסוימים - **ניתוח היסטורי מהיר** - ראייה ויזואלית של ביצועי החודש לאורך השנים - **זיהוי כיווניות** - הבנה מיידית האם החודש נוטה להיות שורי או דובי - **תכנון מסחר עונתי** - בניית אסטרטגיות מבוססות מחזוריות ### ⚙️ פרמטרים מתכווננים 1. **חודש לסימון (1-12)** - בחירת החודש הרצוי לניתוח - 1 = ינואר, 2 = פברואר... 12 = דצמבר - ברירת מחדל: 11 (נובמבר) 2. **שנים אחורה (1-50)** - קובע כמה שנים אחורה לסרוק - מומלץ: 10-25 שנים לקבלת תמונה סטטיסטית מהימנה - ברירת מחדל: 25 שנים 3. **צבע נר עולה** - צבע לסימון נרות שורים (close > open) - ברירת מחדל: ירוק - ניתן להתאים לסכמת הצבעים האישית 4. **צבע נר יורד** - צבע לסימון נרות דוביים (close < open) - ברירת מחדל: אדום - ניתן להתאים לסכמת הצבעים האישית 5. **צבע את השנה הנוכחית** - האם לכלול את החודש הנוכחי בסימון - שימושי כאשר החודש טרם הסתיים - ברירת מחדל: כן ### 📈 איך להשתמש באינדיקטור #### שלב 1: הוספה לגרף 1. עבור לטיימפריים **חודשי (Monthly)** - חובה! 2. הוסף את האינדיקטור לגרף 3. בחר את החודש שאתה רוצה לנתח #### שלב 2: ניתוח ראשוני - **ספור נרות ירוקים מול אדומים** - מה היחס? - **חפש דפוסים** - האם יש שנים שבהן החודש תמיד עולה/יורד? - **זהה חריגים** - שנים שבהן ההתנהגות הייתה שונה #### שלב 3: קבלת החלטות - **רוב ירוקים** → סטטיסטית החודש נוטה לעלות - **רוב אדומים** → סטטיסטית החודש נוטה לרדת - **מעורב** → אין דפוס עונתי ברור ### 💡 דוגמאות שימוש **דוגמה 1: "Santa Claus Rally"** - בחר חודש 12 (דצמבר) - בדוק אם יש רוב נרות ירוקים - אם כן, זה מאשר את האפקט הידוע של עליות בסוף השנה **דוגמה 2: "September Effect"** - בחר חודש 9 (ספטמבר) - היסטורית, ספטמבר נחשב לחודש חלש - האם הנתונים תומכים בכך במניה זו? **דוגמה 3: דיווחים רבעוניים** - זהה בחודש אילו נפרסמים דיווחים - בדוק את התגובה ההיסטורית - תכנן כניסה/יציאה בהתאם ### 🔍 שילוב עם אינדיקטורים אחרים האינדיקטור עובד מצוין בשילוב עם: - **Historical Monthly Levels** (האינדיקטור הראשון) - זיהוי רמות מחיר קרובות - **Volume Profile** - בדיקת ווליום באותם חודשים - **RSI/MACD** - זיהוי כוח המומנטום בחודשים ספציפיים ### ⚠️ הערות חשובות 1. **חובה להשתמש בטיימפריים חודשי!** האינדיקטור לא יעבוד נכון בטיימפריים אחרים 2. **מדגם סטטיסטי** - ככל שיש יותר שנים, הניתוח מהימן יותר 3. **לא ערובה** - עבר לא מבטיח עתיד, השתמש בניתוח נוסף 4. **התאם צבעים** - אם קשה לראות, שנה את הצבעים בהגדרות ### 🎨 טיפים לחוויית שימוש מיטבית - **זום אאוט** - ראה יותר שנים במבט אחד - **נקה גרף** - הסר אינדיקטורים מיותרים לניתוח ברור - **השווה מניות** - בדוק מספר מניות לאותו חודש - **תעד ממצאים** - צלם מסך ושמור תובנות לעתיד ### 📊 סטטיסטיקה מומלצת לאחר שזיהית חודש מעניין: - חשב אחוז הצלחה (ירוקים / כל הנרות) - בדוק תנודתיות ממוצעת - זהה שנים חריגות ובדוק מה קרה אז - תכנן אסטרטגיית כניסה/יציאה ### 🚀 למי מתאים האינדיקטור? ✅ **סווינג טריידרים** - תכנון עסקאות לטווח בינוני ✅ **משקיעים עונתיים** - ניצול דפוסים מחזוריים ✅ **אנליסטים טכניים** - הבנת התנהגות היסטורית ✅ **מנהלי תיקים** - תזמון כניסות ויציאות --- ### 📝 סיכום אינדיקטור Monthly Color Marker הוא כלי חזק וקל לשימוש לזיהוי דפוסים עונתיים. השילוב של ויזואליזציה ברורה עם פרמטרים גמישים הופך אותו לכלי חיוני לכל טריידר המחפש יתרון סטטיסטי בשוק. **המלצה:** התחל עם 25 שנים אחורה, נתח 2-3 חודשים מרכזיים, ובנה אסטרטגיה מבוססת נתונים. --- **גרסה:** 4.0 **תאימות:** Pine Script v5 **טיימפריים:** חודשי בלבד **מחבר:** [954 ---
Pine Script®指標
由shmuel954提供
[KF] Multi-Duration Rate Expectations IndicatorAfter last fed cut in Oct then following jump in rates, I was frustrated at not having access to good rate expectations vs actual because the market usually prices in prior to fed action. This indicator was developed to make futures market rate expectations accessible and interpretable without requiring professional bond analytics systems. Summary This Pine Script indicator reveals what the futures market expects for interest rates across three key durations: Fed Funds (overnight), 2-Year, and 10-Year Treasury yields. By comparing futures-implied rates against current spot yields, it provides a clear visual signal of whether the market expects rates to rise, fall, or remain steady. Understanding Rate Futures Fed Funds futures (ZQ1!) use a simple design where the expected rate equals 100 minus the futures price. If ZQ1! trades at 96.12, the market expects a 3.88% Fed Funds rate. Treasury futures work differently - they trade as bond prices (typically 102-115) that move inversely to yields. Converting Treasury futures to implied yields requires complex bond mathematics involving duration and conversion factors. This indicator solves the Treasury futures complexity by implementing a self-calibrating sensitivity model. It observes the historical relationship between futures prices and yields, then uses this to project rate expectations. The model also compares front-month to next-month contracts to detect expected rate direction, automatically adapting as market conditions change. How to Use Add the indicator to any chart and select your desired duration in the settings. The display shows the futures-implied rate, current yield, and the difference between them. Green indicates the market expects higher rates, red means lower expectations, and gray shows expectations in line with current rates. The indicator excels at identifying divergences between market expectations and current rates, which often precede rate movements or futures repricing. Comparing expectations across different durations reveals insights about yield curve positioning and Fed policy anticipation. Technical Note While Fed Funds futures provide exact rate expectations, Treasury futures conversions are sophisticated approximations that provide reliable directional signals and reasonable magnitude estimates sufficient for most trading applications.
Pine Script®指標
由Kanefire提供
DRACO Tomas Delta (Custom/Monthly)🐉 DRACO Delta SessionBox (Custom / Monthly) Overview The DRACO Delta SessionBox is an advanced visual and analytical tool designed to measure and display cumulative buying and selling pressure (Δ — delta) within a user-defined time window, such as a specific custom date range, a recurring monthly period, or the entire current month. It visually represents market accumulation or distribution phases by calculating an approximate delta — the imbalance between bullish and bearish volume — and then aggregates it inside a dynamic “box” that spans only the selected time window. Core Concept Delta in this context is an approximation of the real order-flow delta (buy vs sell volume difference). Since TradingView doesn’t provide raw tick-by-tick trade direction data, this indicator uses a proxy formula based on OHLC and volume data: Δ per bar = Volume × ( Close − Open ) max ⁡ ( High − Low , Tick Size ) Δ per bar=Volume× max(High−Low,Tick Size) (Close−Open) ​ This gives a very effective approximation of intrabar directional pressure — whether volume was dominated by buyers (Δ > 0) or sellers (Δ < 0). Modes The indicator can operate in three distinct modes: 🕒 Custom DateTime The user manually sets an exact date & time range (From – To). The box only measures delta and volume accumulation within this window. Ideal for analyzing specific events, like FOMC weeks, quarterly earnings, or macro periods. 📆 Monthly Window The user selects start and end days of the month (e.g. 5–20). The same window repeats automatically every month. Useful for identifying recurring accumulation or distribution cycles within months. 🧭 Whole Month Automatically measures and visualizes delta for the entire current calendar month. The box resets when a new month begins. Provides a macro-level view of monthly directional bias.
Pine Script®指標
由tomasgudanavicius提供
Directional Volume Cloud MTFThe Directional Volume Cloud MTF transforms raw volume into a visually intuitive cloud histogram that highlights directional bias and exhaustion zones. 🔍 Core Logic - Volume bias is calculated using candle direction (bullish/bearish) and smoothed via EMA. - Bias strength is normalized against average volume to produce a ratio from -1 to +1. - Color and opacity dynamically reflect bias direction and strength — pale clouds indicate weak volume, while vivid clouds signal strong conviction. Features - Customizable bullish/bearish colors - Dynamic opacity based on volume strength - Declining volume signals for potential reversals - Multi-timeframe bias overlay (e.g., daily bias on intraday chart) 📈 Use Cases - Spot volume exhaustion before reversals - Confirm breakout strength with bias intensity - Compare short-term vs long-term volume pressure Whether you're scalping intraday moves or validating swing setups, this cloud-based volume heatmap offers a clean, modular way to visualize market conviction.
Pine Script®指標
由Sjswoop提供