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在腳本中搜尋"神户胜利+VS+磐田喜悦"

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
Static K-means Clustering | InvestorUnknownStatic K-Means Clustering is a machine-learning-driven market regime classifier designed for traders who want a data-driven structure instead of subjective indicators or manually drawn zones. This script performs offline (static) K-means training on your chosen historical window. Using four engineered features: RSI (Momentum) CCI (Price deviation / Mean reversion) CMF (Money flow / Strength) MACD Histogram (Trend acceleration) It groups past market conditions into K distinct clusters (regimes). After training, every new bar is assigned to the nearest cluster via Euclidean distance in 4-dimensional standardized feature space. This allows you to create models like: Regime-based long/short filters Volatility phase detectors Trend vs. chop separation Mean-reversion vs. breakout classification Volume-enhanced money-flow regime shifts Full machine-learning trading systems based solely on regimes Note: This script is not a universal ML strategy out of the box. The user must engineer the feature set to match their trading style and target market. K-means is a tool, not a ready made system, this script provides the framework. Core Idea K-means clustering takes raw, unlabeled market observations and attempts to discover structure by grouping similar bars together. // STEP 1 — DATA POINTS ON A COORDINATE PLANE // We start with raw, unlabeled data scattered in 2D space (x/y). // At this point, nothing is grouped—these are just observations. // K-means will try to discover structure by grouping nearby points. // // y ↑ // | // 12 | • // | • // 10 | • // | • // 8 | • • // | // 6 | • // | // 4 | • // | // 2 |______________________________________________→ x // 2 4 6 8 10 12 14 // // // // STEP 2 — RANDOMLY PLACE INITIAL CENTROIDS // The algorithm begins by placing K centroids at random positions. // These centroids act as the temporary “representatives” of clusters. // Their starting positions heavily influence the first assignment step. // // y ↑ // | // 12 | • // | • // 10 | • C2 × // | • // 8 | • • // | // 6 | C1 × • // | // 4 | • // | // 2 |______________________________________________→ x // 2 4 6 8 10 12 14 // // // // STEP 3 — ASSIGN POINTS TO NEAREST CENTROID // Each point is compared to all centroids. // Using simple Euclidean distance, each point joins the cluster // of the centroid it is closest to. // This creates a temporary grouping of the data. // // (Coloring concept shown using labels) // // - Points closer to C1 → Cluster 1 // - Points closer to C2 → Cluster 2 // // y ↑ // | // 12 | 2 // | 1 // 10 | 1 C2 × // | 2 // 8 | 1 2 // | // 6 | C1 × 2 // | // 4 | 1 // | // 2 |______________________________________________→ x // 2 4 6 8 10 12 14 // // (1 = assigned to Cluster 1, 2 = assigned to Cluster 2) // At this stage, clusters are formed purely by distance. Your chosen historical window becomes the static training dataset , and after fitting, the centroids never change again. This makes the model: Predictable Repeatable Consistent across backtests Fast for live use (no recalculation of centroids every bar) Static Training Window You select a period with: Training Start Training End Only bars inside this range are used to fit the K-means model. This window defines: the market regime examples the statistical distributions (means/std) for each feature how the centroids will be positioned post-trainin Bars before training = fully transparent Training bars = gray Post-training bars = full colored regimes Feature Engineering (4D Input Vector) Every bar during training becomes a 4-dimensional point: This combination balances: momentum, volatility, mean-reversion, trend acceleration giving the algorithm a richer "market fingerprint" per bar. Standardization To prevent any feature from dominating due to scale differences (e.g., CMF near zero vs CCI ±200), all features are standardized: standardize(value, mean, std) => (value - mean) / std Centroid Initialization Centroids start at diverse coordinates using various curves: linear sinusoidal sign-preserving quadratic tanh compression init_centroids() => // Spread centroids across using different shapes per feature for c = 0 to k_clusters - 1 frac = k_clusters == 1 ? 0.0 : c / (k_clusters - 1.0) // 0 → 1 v = frac * 2 - 1 // -1 → +1 array.set(cent_rsi, c, v) // linear array.set(cent_cci, c, math.sin(v)) // sinusoidal array.set(cent_cmf, c, v * v * (v < 0 ? -1 : 1)) // quadratic sign-preserving array.set(cent_mac, c, tanh(v)) // compressed This makes initial cluster spread “random” even though true randomness is hardly achieved in pinescript. K-Means Iterative Refinement The algorithm repeats these steps: (A) Assignment Step, Each bar is assigned to the nearest centroid via Euclidean distance in 4D: distance = sqrt(dx² + dy² + dz² + dw²) (B) Update Step, Centroids update to the mean of points assigned to them. This repeats iterations times (configurable). LIVE REGIME CLASSIFICATION After training, each new bar is: Standardized using the training mean/std Compared to all centroids Assigned to the nearest cluster Bar color updates based on cluster No re-training occurs. This ensures: No lookahead bias Clean historical testing Stable regimes over time CLUSTER BEHAVIOR & TRADING LOGIC Clusters (0, 1, 2, 3…) hold no inherent meaning. The user defines what each cluster does. Example of custom actions: Cluster 0 → Cash Cluster 1 → Long Cluster 2 → Short Cluster 3+ → Cash (noise regime) This flexibility means: One trader might have cluster 0 as consolidation. Another might repurpose it as a breakout-loading zone. A third might ignore 3 clusters entirely. Example on ETHUSD Important Note: Any change of parameters or chart timeframe or ticker can cause the “order” of clusters to change The script does NOT assume any cluster equals any actionable bias, user decides. PERFORMANCE METRICS & ROC TABLE The indicator computes average 1-bar ROC for each cluster in: Training set Test (live) set This helps measure: Cluster profitability consistency Regime forward predictability Whether a regime is noise, trend, or reversion-biased EQUITY SIMULATION & FEES Designed for close-to-close realistic backtesting. Position = cluster of previous bar Fees applied only on regime switches. Meaning: Staying long → no fee Switching long→short → fee applied Switching any→cash → fee applied Fee input is percentage, but script already converts internally. Disclaimers ⚠️ This indicator uses machine-learning but does not predict the future. It classifies similarity to past regimes, nothing more. ⚠️ Backtest results are not indicative of future performance. ⚠️ Clusters have no inherent “bullish” or “bearish” meaning. You must interpret them based on your testing and your own feature engineering.
Pine Script®指標
由InvestorUnknown提供
Chop Meter + Trade Filter 1H/30M/15M (Ace PROFILE CLEAN v2)What this indicator does Name: Chop Meter + Trade Filter 1H/30M/15M (Ace PROFILE CLEAN v2) This is not an entry signal indicator. It’s a market condition filter: It checks how compressed or expanded price is on 1H, 30M, and 15M. It labels each TF as CHOP or NORMAL. If 2 or more of those are in CHOP, it prints NO TRADE. If 0 or 1 are in CHOP, it prints TRADE. You use it to answer one question: “Is this a session I should be pushing the button, or is this a day to sit on my hands?” How it works (simple version) For each timeframe (1H, 30M, 15M), the script: Looks back N bars (ATR length). Measures: ATR over N bars Price range over N bars (highest high − lowest low) Computes a compression value: compression = ATR / range. Then it compares that to the Threshold: If compression > threshold → CHOP (market boxed / compressed) If compression ≤ threshold → NORMAL (market expanded / trending) Finally: It counts how many TFs are CHOP. If 2 or 3 TFs are CHOP → NO TRADE. If 0 or 1 TFs are CHOP → TRADE. Inputs / Profiles At the top you see: Profile Overnight 4/0.40 – for Asia / London / overnight sessions NYO 5/0.45 – for New York Open profile (default) Custom – lets you type your own values When Custom is selected, you can set: ATR Length (Custom) – how many bars to use in the compression calc Chop Threshold (ATR ÷ Range) (Custom) – where you cut between CHOP vs NORMAL Higher threshold → more bars counted as NORMAL, less CHOP Lower threshold → more bars counted as CHOP, fewer TRADE environments For NYO, you normally keep: Profile = NYO 5/0.45 (ATR over 5 bars, threshold 0.45) What you see on the chart A single line panel at the bottom-right, like: 1H: NORMAL | 30M: CHOP | 15M: NORMAL | TRADE | NYO 5/0.45 Meaning: 1H: NORMAL → the last 1H window is expanded enough (not boxed). 30M: CHOP → 30M is compressed (inside a tighter range). 15M: NORMAL → 15M has opened up. TRADE → Only 1 TF is CHOP, so the majority says OK to trade. NYO 5/0.45 → just a tag to remind which profile you’re using. If instead you see: 1H: CHOP | 30M: CHOP | 15M: NORMAL | NO TRADE | NYO 5/0.45 That means: 1H and 30M are boxed 15M opened a bit, but 2 TFs are CHOP Final verdict: NO TRADE environment How to use it in your trading 1. As a gatekeeper before any entry model No matter what entry you use (MSS + FVG, OB, purge setups, etc.): If the panel says NO TRADE → You do not open new positions. You’re in “observe only” mode. You can still study price, mark levels, and journal, but you’re not pressing the button. If the panel says TRADE → The environment is acceptable. Now you can look for your entry model (e.g. MSS + FVG retest, SMT, OB, etc.). Think of it as your first filter every session: “Panel says NO TRADE? I don’t care how good the candle looks – I’m waiting.” 2. Reading each timeframe 1H: CHOP → Day is still boxed on the higher frame; big expansion hasn’t kicked in. 30M: CHOP → Classic 30M dealing range; many fake breaks and wicks likely. 15M: CHOP → Intraday still coiling; scalping environment at best. When 2 or 3 say CHOP, expect: Whipsaw MSS both ways Failed FVGs News spikes that die in the box Perfect time to protect your psychology and capital. When 2 or 3 say NORMAL, expect: Cleaner swings Better follow-through after MSS / FVG Easier to hold for targets 3. How it pairs with your MSS/FVG indicator With your Chop + MSS/FVG Retest indicator: Chop meter = environment filter MSS/FVG indicator = entry trigger Your process becomes: Check chop meter: If NO TRADE → hands off. If TRADE → go to step 2. On your chart, wait for: Purge / SMT at the edges MSS in the right direction FVG + retest Only take L/S when both: Chop meter = TRADE, and Entry model = L/S signal in the right area (premium/discount). That way, you’re not just trading every L/S the MSS script spits out—you’re trading L/S only when the higher-timeframe environment is worth it.
Pine Script®指標
由TIMEANDPRICEPR提供
Multi Time Frame EMA & MA IndicatorThis indicator automatically applies prime-number EMAs and MAs based on the current chart timeframe, using faster cool-tone EMAs and slower warm-tone MAs to clearly distinguish momentum vs trend. It adapts dynamically for 1m, 5m, 15m, 1H, 4H, and 1D charts, and uses a visual hierarchy where thinner lines represent faster averages and thicker lines represent slower ones, ensuring clarity in both light and dark themes. An on-chart label displays which EMA and MA lengths are active for the selected timeframe.
Pine Script®指標
由ajaychobey7提供
Time-Decay Liquidity Zones [BackQuant]Time-Decay Liquidity Zones A dynamic liquidity map that turns single-bar exhaustion events into fading, color-graded zones, so you can see where trapped traders and unfinished business still matter, and when those areas have finally stopped pulling price. What this is This indicator detects unusually strong impulsive moves into wicks, converts them into supply or demand “zones,” then lets those zones decay over time. Each zone carries a strength score that fades bar by bar. Zones that stop attracting or rejecting price are gradually de-emphasized and eventually removed, while the most relevant areas stay bright and obvious. Instead of static rectangles that live forever, you get a living liquidity map where: Zones are born from objective criteria: volatility, wick size, and optional volume spikes. Zones “age” using a configurable decay factor and maximum lifetime. Zone color and opacity reflect current relative strength on a unified clear → green → red gradient. Zones freeze when broken, so you can distinguish “active reaction areas” from “historical levels that have already given way”. Conceptual idea Large wicks with strong volatility often mark areas where aggressive orders met hidden liquidity and got absorbed. Price may revisit these areas to test leftover interest or to relieve trapped positions. However, not every wick matters for long. As time passes and more bars print, the market “forgets” some areas. Time-Decay Liquidity Zones turns that idea into a rule-based system: Find bars that likely reflect strong aggressive flows into liquidity. Mark a zone around the wick using ATR-based thickness. Assign a strength score of 1.0 at birth. Each bar, reduce that score by a decay factor and remove zones that fall below a threshold or live too long. Color all surviving zones from weak to strong using a single gradient scale and a visual legend. How events are detected Detection lives in the Event Detection group. The script combines range, wick size, and optional volume filters into simple rules. Volatility filter ATR Length — computes a rolling ATR over your chosen window. This is the volatility baseline. Min range in ATRs — bar range (High–Low) must exceed this multiple of ATR for an event to be considered. This avoids tiny bars triggering zones. Wick filters For each bar, the script splits the candle into body and wicks: Upper wick = High minus the max(Open, Close). Lower wick = min(Open, Close) minus Low. Then it tests: Upper wick condition — upper wick must be larger than Min wick size in ATRs × ATR. Lower wick condition — lower wick must be larger than Min wick size in ATRs × ATR. Only bars with a sufficiently long wick relative to volatility qualify as candidate “liquidity events”. Volume filter Optionally, the script requires a volume spike: Use volume filter — if enabled, volume must exceed a rolling volume SMA by a configurable multiplier. Volume SMA length — period for the volume average. Volume spike multiplier — how many times above the SMA current volume needs to be. This lets you focus only on “heavy” tests of liquidity and ignore quiet bars. Event types Putting it together: Upper event (potential supply / long liquidation, etc.) Occurs when: Upper wick is large in ATR terms. Full bar range is large in ATR terms. Volume is above the spike threshold (if enabled). Lower event (potential demand / short liquidation, etc.) Symmetric conditions using the lower wick. How zones are constructed Zone geometry lives in Zone Geometry . When an event is detected, the script builds a rectangular box that anchors to the wick and extends in the appropriate direction by an ATR-based thickness. For upper (supply-type) zones Bottom of the zone = event bar high. Top of the zone = event bar high + Zone thickness in ATRs × ATR. The zone initially spans only the event bar on the x-axis, but is extended to the right as new bars appear while the zone is active. For lower (demand-type) zones Top of the zone = event bar low. Bottom of the zone = event bar low − Zone thickness in ATRs × ATR. Same extension logic: box starts on the event bar and grows rightward while alive. The result is a band around the wick that scales with volatility. On high-ATR charts, zones are thicker. On calm charts, they are narrower and more precise. Zone lifecycle, decay, and removal All lifecycle logic is controlled by the Decay & Lifetime group. Each zone carries: Score — a floating-point “importance” measure, starting at 1.0 when created. Direction — +1 for upper zones, −1 for lower zones. Birth index — bar index at creation time. Active flag — whether the zone is still considered unbroken and extendable. 1) Active vs broken Each confirmed bar, the script checks: For an upper zone , the zone is counted as “broken” when the close moves above the top of the zone. For a lower zone , the zone is counted as “broken” when the close moves below the bottom of the zone. When a zone breaks: Its right edge is frozen at the previous bar (no further extension). The zone remains on the chart, but is no longer updated by price interaction. It still decays in score until removal. This lets you see where a major level was overrun, while naturally fading its influence over time. 2) Time decay At each confirmed bar: Score := Score × Score decay per bar . A decay value close to 1.0 means very slow decay and long-lived zones. Lower values (closer to 0.9) mean faster forgetting and more current-focused zones. You are controlling how quickly the market “forgets” past events. 3) Age and score-based removal Zones are removed when either: Age in bars exceeds Max bars a zone can live . This is a hard lifetime cap. Score falls below Minimum score before removal . This trims zones that have decayed into irrelevance even if their age is still within bounds. When a zone is removed, its box is deleted and all associated state is freed to keep performance and visuals clean. Unified gradient and color logic Color control lives in Gradient & Color . The indicator uses a single continuous gradient for all zones, above and below price, so you can read strength at a glance without guessing what palette means what. Base colors You set: Mid strength color (green) — used for mid-level strength zones and as the “anchor” in the gradient. High strength color (red) — used for the strongest zones. Max opacity — the maximum visual opacity for the solid part of the gradient. Lower values here mean more solid; higher values mean more transparent. The script then defines three internal points: Clear end — same as mid color, but with a high alpha (close to transparent). Mid end — mid color at the strongest allowed opacity. High end — high color at the strongest allowed opacity. Strength normalization Within each update: The script finds the maximum score among all existing zones. Each zone’s strength is computed as its score divided by this maximum. Strength is clamped into . This means a zone with strength 1.0 is currently the strongest zone on the chart. Other zones are colored relative to that. Piecewise gradient Color is assigned in two stages: For strength between 0.0 and 0.5: interpolate from “clear” green to solid green. Weak zones are barely visible, mid-strength zones appear as solid green. For strength between 0.5 and 1.0: interpolate from solid green to solid red. The strongest zones shift toward the red anchor, clearly separating them from everything else. Strength scale legend To make the gradient readable, the indicator draws a vertical legend on the right side of the chart: About 15 cells from top (Strong) to bottom (Weak). Each cell uses the same gradient function as the zones themselves. Top cell is labeled “Strong”; bottom cell is labeled “Weak”. This legend acts as a fixed reference so you can instantly map a zone’s color to its approximate strength rank. What it plots At a glance, the indicator produces: Upper liquidity zones above price, built from large upper wick events. Lower liquidity zones below price, built from large lower wick events. All zones colored by relative strength using the same gradient. Zones that freeze when price breaks them, then fade out via decay and removal. A strength scale legend on the right to interpret the gradient. There are no extra lines, labels, or clutter. The focus is the evolving structure of liquidity zones and their visual strength. How to read the zones Bright red / bright green zones These are your current “major” liquidity areas. They have high scores relative to other zones and have not yet decayed. Expect meaningful reactions, absorption attempts, or spillover moves when price interacts with them. Faded zones Pale, nearly transparent zones are either old, decayed, or minor. They can still matter, but priority is lower. If these are in the middle of a long consolidation, they often become background noise. Broken but still visible zones Zones whose extension has stopped have been overrun by closing price. They show where a key level gave way. You can use them as context for regime shifts or failed attempts. Absence of zones A chart with few or no zones means that, under your current thresholds, there have not been strong enough liquidity events recently. Either tighten the filters or accept that recent price action has been relatively balanced. Use cases 1) Intraday liquidity hunting Run the indicator on lower timeframes (e.g., 1–15 minute) with moderately fast decay. Use the upper zones as potential sell reaction areas, the lower zones as potential buy reaction areas. Combine with order flow, CVD, or footprint tools to see whether price is absorbing or rejecting at each zone. 2) Swing trading context Increase ATR length and range/wick multipliers to focus only on major spikes. Set slower decay and higher max lifetime so zones persist across multiple sessions. Use these zones as swing inflection areas for larger setups, for example anticipating re-tests after breakouts. 3) Stop placement and invalidation For longs, place invalidation beyond a decaying lower zone rather than in the middle of noise. For shorts, place invalidation beyond strong upper zones. If price closes through a strong zone and it freezes, treat that as additional evidence your prior bias may be wrong. 4) Identifying trapped flows Upper zones formed after violent spikes up that quickly fail can mark trapped longs. Lower zones formed after violent spikes down that quickly reverse can mark trapped shorts. Watching how price behaves on the next touch of those zones can hint at whether those participants are being rescued or squeezed. Settings overview Event Detection Use volume filter — enable or disable the volume spike requirement. Volume SMA length — rolling window for average volume. Volume spike multiplier — how aggressive the volume spike filter is. ATR length — period for ATR, used in all size comparisons. Min wick size in ATRs — minimum wick size threshold. Min range in ATRs — minimum bar range threshold. Zone Geometry Zone thickness in ATRs — vertical size of each liquidity zone, scaled by ATR. Decay & Lifetime Score decay per bar — multiplicative decay factor for each zone score per bar. Max bars a zone can live — hard cap on lifetime. Minimum score before removal — score cut-off at which zones are deleted. Gradient & Color Mid strength color (green) — base color for mid-level zones and the lower half of the gradient. High strength color (red) — target color for the strongest zones. Max opacity — controls the most solid end of the gradient (0 = fully solid, 100 = fully invisible). Tuning guidance Fast, session-only liquidity Shorter ATR length (e.g., 20–50). Higher wick and range multipliers to focus only on extreme events. Decay per bar closer to 0.95–0.98 and moderate max lifetime. Volume filter enabled with a decent multiplier (e.g., 1.5–2.0). Slow, structural zones Longer ATR length (e.g., 100+). Moderate wick and range thresholds. Decay per bar very close to 1.0 for slow fading. Higher max lifetime and slightly higher min score threshold so only very weak zones disappear. Noisy, high-volatility instruments Increase wick and range ATR multipliers to avoid over-triggering. Consider enabling the volume filter with stronger settings. Keep decay moderate to avoid the chart getting overloaded with old zones. Notes This is a structural and contextual tool, not a complete trading system. It does not account for transaction costs, execution slippage, or your specific strategy rules. Use it to: Highlight where liquidity has recently been tested hard. Rank these areas by decaying strength. Guide your attention when layering in separate entry signals, risk management, and higher-timeframe context. Time-Decay Liquidity Zones is designed to keep your chart focused on where the market has most recently “cared” about price, and to gradually forget what no longer matters. Adjust the detection, geometry, decay, and gradient to fit your product and timeframe, and let the zones show you which parts of the tape still have unfinished business.
Pine Script®指標
由BackQuant提供
Dobrusky Pressure CoreWhat it does & who it’s for Dobrusky Pressure Core is a volume by time replacement for traders who care about which side actually controls each bar. Instead of just plotting total volume, it splits each bar into estimated buy vs sell pressure and overlays a custom, session-aware volume baseline. It’s built for discretionary traders who want more nuanced volume context for entries, breakouts, and pullbacks. Core ideas Buy/sell pressure split: Each bar’s volume is broken into estimated buying and selling pressure. Dominant side highlighting: The dominant side (buy or sell) is always displayed starting from the bottom of the bar, so you can quickly see who “owned” that bar. Median-based baseline: Uses the median of the last N bars (50 by default) to build a robust volume baseline that’s less sensitive to one-off spikes. Session-aware behavior: Baseline is calculated from Regular Trading Hours (RTH) by default, with an option to include Extended Hours (ETH) and a control to force Regular data on higher timeframes. Volume regimes: Three multipliers (1x, 1.5x, 2x by default) show normal, high, and extreme volume regions. Flexible display: Baseline can be shown as lines or as columns behind the volume, with full color customization. How the pressure logic works For each bar, the script: Adjusts the range for gaps relative to the prior close so the “true” traded range is more consistent. Computes buy pressure as a proportion of the adjusted range from low to close. Defines sell pressure as: total volume minus buy pressure. Marks the bar as buy-dominant if buy pressure ≥ sell pressure, otherwise sell-dominant, and colors the dominant side from the bottom to at least the midpoint using the selected buy/sell colors. In practice, this turns basic volume columns into bars where the internal split and dominant side are clearly visible, helping you judge whether aggressive buyers or sellers truly controlled the bar instead of just looking at the price action. Volume baseline & session logic The script builds a session-aware baseline from recent volume: Baseline length: A rolling window (default 50 bars) is used to compute a median volume value instead of a simple moving average. RTH-only by default: By default, the baseline is built from Regular Trading Hours bars only. During extended hours, the baseline effectively “freezes” at the last RTH-derived value unless you choose to include extended session data. Extended mode: If you select Extended mode, the script builds separate rolling baselines for RTH and ETH trading, using the appropriate one depending on the current session. Force Regular Above Timeframe: On timeframes equal to or higher than your chosen threshold, the baseline automatically uses Regular session data, even if Extended is selected. Multipliers: Three adjustable multipliers (1x, 1.5x, 2x by default) create normal, high, and extreme volume bands for quick identification. This lets you choose whether you want a pure RTH reference or a baseline that adapts to extended-session activity. Example ways to use it 1. Replace standard volume bars Add Dobrusky Pressure Core to your volume pane and hide the default volume if you prefer a clean look. Use the colors and split to see at a glance whether buyers or sellers were dominant on each bar. 2. Pressure confirmation for entries For longs (example concept; adapt to your own rules): Require that the entry bar’s buy pressure is greater than the previous bar’s sell pressure , or If the entry and prior bar are both buy-dominant, require that the entry bar has more buy pressure than the prior bar. This helps avoid taking a long when buying pressure is clearly fading relative to what sellers recently showed. A mirrored idea can be used for short setups with sell pressure. 3. Context from baseline multipliers Use ~1x baseline as “normal” volume. Watch for bars at or above 1.5x baseline when you want to see increased participation. Treat 2x baseline and above as “extreme” volume zones that may mark climactic or especially important bars. In practice, the baseline and multipliers are best used as context and filters, not as rigid rules. Settings overview Display - Show Volume Baseline: toggle the baseline and its levels on or off. - Baseline Display: choose between Line or Bars for the baseline visualization. Baseline Calculation - Length: lookback for the median baseline (default 50, configurable). - Baseline Session Data: choose Regular or Extended to control which session data feeds the baseline. Session Controls - Regular Session (Local to TZ): define your RTH window (e.g., 0930-1600). - Session Time Zone: choose the time zone used for that window. - Force Regular Above Timeframe: on higher timeframes, force the baseline to use Regular session data only. Baseline Levels - Show Level x Multiplier 1/2/3: toggle each volume regime level. - Multiplier 1/2/3: define what you consider normal, high, and extreme volume (defaults: 1.0, 1.5, 2.0). Colors - Buy Volume / Sell Volume: choose colors for buy and sell pressure. - Baseline Bars (Base / x2 / x3): colors when the baseline is drawn as columns. - Baseline Line (Base / x2 / x3): colors when the baseline is drawn as lines. Limitations & best practices This is a decision-support and visualization tool, not a buy/sell signal generator. Best suited to markets where volume data is meaningful (e.g., index futures, liquid equities, liquid crypto). The usefulness of any volume-based metric depends on the underlying data feed and instrument structure. Always combine pressure and baseline context with your own strategy, risk management, and testing. Originality Most volume tools either show total volume only or compare it to a simple moving average. Dobrusky Pressure Core combines: An intrabar buy/sell pressure split based on a gap-adjusted price range. A median-based, configurable baseline built from session-specific data. Session-aware behavior that keeps the baseline focused on Regular hours by default, with the option to incorporate Extended hours and force Regular data on higher timeframes. The goal is to give traders a richer, session-aware view of participation and pressure that standard volume bars and simple SMA overlays don’t provide, while keeping everything transparent and open-source so users can review and adapt the logic.
Pine Script®指標
由adobtrades提供
3 day look backThis script is designed to help traders visually compare daily liquidity behavior between two correlated assets — for example, the Nasdaq (NQ) and the S&P500 (ES). It plots each day’s High and Low, aligned from Midnight to Midnight, with a clean session structure. This makes it easier to identify: SMT (Smart Money Technique) divergences liquidity grabs daily highs/lows sweeps relative strength/weakness between assets intraday bias shifts based on daily structure What the script does Reconstructs each trading day from 00:00 to 00:00, regardless of session irregularities. Plots the High and Low of every completed day. Allows users to display as many past days as they want (custom “look-back” parameter). Automatically merges the weekend with Friday for assets where Saturday/Sunday sessions are fragmented. Includes a manual midnight offset (–12h to +12h) to fix timezone inconsistencies on TradingView charts (common on futures). Optional real-time lines for the current day. No excessive right-side extensions for clean intraday reading. Why this is useful When comparing paired assets (e.g., NQ vs ES), liquidity behavior is often different. This script makes it easy to spot: when one asset makes a new daily high while the other doesn’t asymmetrical liquidity sweeps SMT-based divergence setups liquidity grabs at daily levels intraday directional bias shifts About the other indicators shown on the chart In the example chart, two additional indicators are used only for clarity and structure: Day of the Week — displays the weekday on each session for easier orientation. Vertical Line Timeline — draws a clean separator line between days. These indicators are not required for this High/Low script to work. They simply help visually organize sessions and make daily structure easier to read when comparing two assets side by side. How to use Open two assets (e.g., NQ1! and ES1!) side by side. Apply this script on both charts. Set the same timeframe. Choose how many days back you want to visualize (look-back parameter). Observe how each asset interacts with its daily High/Low. Look for SMT divergences and liquidity-based setups. Main features Midnight-to-Midnight alignment Weekend fusion Manual offset for perfect timing Adjustable daily look-back Clean daily liquidity Optional dynamic daily levels Ideal for SMT/liquidity-based intraday trading
Pine Script®指標
由Relieved_Cheeata提供
Global M2 ex-China MonitorGlobal M2 Monitor - Ultimate Edition 🎯 OVERVIEW Advanced global M2 money supply monitoring indicator, offering a unique macroeconomic view of global liquidity. Real-time tracking of M2 evolution in major developed economies. 📊 KEY FEATURES Global M2 Aggregation : USA, Japan, Canada, Eurozone, United Kingdom Currency Conversion : All data converted to USD for consistent analysis High Resolution Display : Daily curve by default Technical Analysis : 50-period moving average (SMA/EMA/WMA) Accurate YoY Calculation : Annual variation based on monthly data Advanced Signal System : Multi-condition color codes 🎨 COLOR SYSTEM - DEFAULT SETTINGS 🟢 GREEN : YoY ≥ 7% AND M2 ≥ SMA → Strong growth + Bullish momentum 🔴 RED : YoY ≤ 2% AND M2 ≤ SMA → Weak growth + Bearish momentum 🟢 LIGHT GREEN : YoY ≥ 7% BUT M2 < SMA → Good fundamentals, temporarily weak momentum 🔴 LIGHT RED : YoY ≤ 2% BUT M2 > SMA → Weak fundamentals, price still supported 🔵 BLUE : YoY between 2% and 7% → Neutral zone of moderate growth 🇨🇳 WHY IS CHINA EXCLUDED BY DEFAULT? Chinese M2 data presents methodological reliability and transparency issues. Exclusion allows for more consistent analysis of mature market economies. Different M2 definition vs Western standards Capital controls affecting real convertibility Frequent monetary manipulations by authorities ✅ Available option : Can be activated in settings ⚙️ OPTIMIZED DEFAULT PARAMETERS // DISPLAY SETTINGS Candle Period: D (Daily) // MOVING AVERAGE MA Period: 50, Type: SMA // BACKGROUND LOGIC YoY Bullish: 7%, YoY Bearish: 2% SMA Method: absolute, Threshold: 0.2% // COLORS Transparency: 5% China M2: Disabled 📈 RECOMMENDED USAGE Traders : Anticipate sector rotations Investors : Identify abundant/restricted liquidity phases Macro-analysts : Monitor monetary policy impacts Portfolio managers : Understand inflationary pressures 🔍 ADVANCED INTERPRETATION M2 ↗️ + YoY ≥ 7% → Favorable risk-on environment M2 ↘️ + YoY ≤ 2% → Defensive risk-off environment Divergences → Early warning signals for trend changes 💡 WHY THIS INDICATOR? Global money supply is the lifeblood of the financial economy . Its growth or contraction typically precedes market movements by 6 to 12 months. "Don't fight the Fed... nor the world's central banks" 🛠️ ADVANCED CUSTOMIZATION All parameters are customizable: YoY bullish/bearish thresholds SMA comparison method (absolute/percentage) Colors and transparency Moving average period and type Optional China inclusion 📋 TECHNICAL INFORMATION YoY Calculation : Based on monthly data for consistency Sources : FRED, ECONOMICS, official data Updates : Real-time with publications Currencies : Updated exchange rates
Pine Script®指標
由Ox_kali提供
Reduced-Lag Chande Momentum Oscillator [BOSWaves]Reduced-Lag Chande Momentum Oscillator – Adaptive Momentum Geometry with Reduced-Latency Reversion Logic Overview The Reduced-Lag Chande Momentum Oscillator represents a sophisticated extension of the classical Chande Momentum Oscillator, preserving the foundational measurement of net directional pressure while addressing inherent limitations in lag, noise, and signal clarity. The traditional CMO provides reliable snapshots of upward versus downward force but reacts slowly to rapid market accelerations and can obscure meaningful momentum inflections with delayed readings. This iteration integrates a dual-stage reduced-lag filter, optional advanced smoothing, and acceleration-based analytics, producing a real-time, multi-dimensional representation of market momentum. The design reframes classical momentum using a layered curvature and gradient structure - main, midline, and shadow - to show trajectory, velocity, and intensity in one view. Instead of the usual ±70/30 extremes, it uses ±50 as a statistically grounded threshold where one side of the market begins exerting true dominance. This captures structural imbalance more reliably, exposing exhaustion and actionable inflection without amplifying noise. This visualization gives traders a continuous, responsive read on market structure, revealing not just direction but rate of change, acceleration alignment, and curvature behavior. The oscillator becomes a momentum map, expressing both probability and intensity behind directional shifts. Where conventional oscillators mislabel short-lived swings as signals, the Reduced-Lag CMO separates baseline shifts from high-conviction transitions, enabling cleaner, more decisive signal interpretation. Theoretical Foundation The classical Chande Momentum Oscillator, created by Tushar Chande, calculates the normalized net difference between consecutive upward and downward price changes over a defined window, generating readings from –100 to +100. While effective for capturing basic directional pressure, the unmodified CMO suffers from signal latency and sensitivity to abrupt market swings, which can obscure actionable inflection points. The Reduced-Lag CMO augments this foundation with three key mechanisms: Reduced-Lag Filtering : A dual-EMA structure eliminates inertial lag, aligning the oscillator curve closely with real-time market momentum without producing overshoot artifacts. Smoothing Architecture : Optional SMA, EMA, or WMA smoothing is applied post-filter, balancing noise reduction with trajectory fidelity. A multi-layer line system (shadow → midline → main) communicates depth, curvature, and gradient dynamics. Acceleration Integration : First and second derivatives of the smoothed curve quantify velocity and acceleration, allowing the indicator to identify not only momentum flips but the force behind each shift, forming the basis for the strong-signal overlay. The combination of these mechanisms produces an oscillator that respects the original CMO framework while delivering real-time, context-sensitive intelligence. The ±50 boundaries are selected as the statistically validated pressure zones where directional dominance exceeds neutral oscillation. Crosses and rejections at these boundaries are not arbitrary overbought/oversold events, but measurable imbalances with actionable significance. How It Works The Reduced-Lag CMO is constructed through a multi-stage process: Momentum Estimation Core : Raw CMO values are calculated and then passed through a reduced-lag filter to remove delay, creating a curve that closely tracks instantaneous directional pressure. Smoothing & Layered Representation : The filtered curve can be smoothed and split into three layers - shadow, midline, and main - giving visual depth, trajectory clarity, and curvature instead of a single-line oscillator. Gradient-Based Pressure Mapping : Color gradients encode momentum strength and polarity. Green-yellow transitions highlight increasing upward dominance, while red-yellow transitions indicate weakening downward force. Pressure-Zone Anchoring (±50) : The system defines statistically significant pressure zones at ±50. Moves beyond these levels reflect dominant directional control, and rejections inside the zone signal potential exhaustion. Signal Generation : Momentum events are evaluated through velocity and acceleration. Standard signals appear as triangle markers indicating validated momentum flips. Strong signals appear as triangles with diamonds when acceleration confirms a high-conviction transition. A cooldown rule spaces signals apart to reduce clutter and emphasize structurally meaningful events. Interpretation The Reduced-Lag CMO reframes momentum as a dynamic equilibrium between directional force and structural pressure: Positive Momentum Phases : Curves above zero with green-yellow gradients indicate sustained upward pressure. Shallow retracements or midline tests denote controlled pullbacks. Negative Momentum Phases : Curves below zero with red-yellow gradients show downward dominance. Rejections from –50 highlight potential exhaustion and reversal readiness. Pressure-Zone Dynamics (±50) : Crosses beyond ±50 confirm dominant directional force. Meanwhile, rejections and rotations inside the zone signal structural fatigue. Velocity & Acceleration Analysis : Rising momentum with decelerating velocity suggests fading force; acceleration alignment amplifies signal strength and forms the basis of strong signals. Signal Architecture The Reduced-Lag CMO produces a single event type with two intensities: a validated momentum inflection. Standard Signals - Triangles: Triggered by momentum flips confirmed by velocity. Represent moderate-intensity directional changes. Appear at zero-line crosses or ±50 rejections with aligned velocity. Strong Signals Triangles + Diamonds: Triggered when acceleration confirms the directional change. Represent high-intensity, high-conviction shifts. Rare by design; indicate robust momentum inflections. Cooldown mechanics prevent repeated signals in short succession, emphasizing structural reliability over noise. Strategy Integration Trend Confirmation : Align zero-line flips with higher-timeframe directional bias. Reversal Detection : Strong signals from ±50 zones highlight potential inflection points. Volatility Assessment : Gradient transitions reveal strengthening or weakening momentum. Pullback Timing : Multi-layer curvature identifies controlled retracements vs trend exhaustion. Confluence Mapping : Pair with structure-based indicators to filter signals in context. Technical Implementation Details Core Engine : Classical CMO with Ehlers reduced-lag extension Lag Reduction : Dual EMA filtering Smoothing : Optional SMA/EMA/WMA post-filter Multi-Layer Curve : Shadow, midline, main Signal System : Two-tier momentum-acceleration framework Pressure Zones : ±50 statistically validated thresholds Cooldown Logic : Bar-indexed suppression Gradient Mapping : Encodes magnitude and direction Alerts : Standard and strong signals Optimal Application Parameters Timeframes: 1 - 5 min : Intraday momentum tracking 15 - 60 min : Trend rotations & volatility transitions 4H - Daily : Macro momentum exhaustion & re-accumulation mapping Suggested Ranges: CMO Length : 7 - 12 Reduced-Lag Length : 5 - 15 Smoothing : 10 - 20 Cooldown Bars : 5 - 15 Performance Characteristics High Effectiveness: Markets with directional pulses & clean pressure transitions Trending phases with measurable pullbacks Instruments with stable volatility cycles Reduced Edge: Choppy consolidations Ultra-low volatility environments Disclaimer The Reduced-Lag Chande Momentum Oscillator is a professional-grade analytical tool. It is not predictive and carries no guaranteed profitability. Effectiveness depends on asset class, volatility regime, parameter selection, and disciplined execution. Any suggested application timeframes or recommended ranges are guidance only - they are not universally optimal and will not deliver consistent accuracy on every asset or market condition. BOSWaves recommends using it in conjunction with structure, liquidity, and momentum context.
Pine Script®指標
由BOSWaves提供
Elliott Wave + SMC Fusion # Elliott Wave + SMC Fusion ## TITLE: Elliott Wave + Smart Money Concepts Fusion --- ## SHORT DESCRIPTION: Automated Elliott Wave pattern detection with Smart Money Concepts confirmation, EWO oscillator integration, and confluence scoring system. --- ## FULL DESCRIPTION: ### 📊 OVERVIEW This indicator combines three powerful trading methodologies into a unified system: - **Elliott Wave Theory** - Automated detection of Wave 1-2 impulse patterns - **Smart Money Concepts (SMC)** - Order Blocks and Fair Value Gaps for institutional confirmation - **Elliott Wave Oscillator (EWO)** - Momentum-based signal validation The core concept is to identify high-probability Wave 3 entries by detecting completed Wave 1-2 structures and validating them with SMC and momentum indicators. --- ### 🔧 HOW IT WORKS **1. Pattern Detection (ZigZag Method)** - Uses pivot high/low detection to identify swing points - Validates Wave 2 retracement using Fibonacci ratios (default: 38.2% - 88.6%) - Requires minimum wave size to filter noise - Applies confirmation bars to avoid premature signals **2. Wave Projections** - Wave 3 target: Fibonacci extension of Wave 1 (default: 1.618) - Wave 4 retracement: Percentage of Wave 3 (default: 38.2%) - Wave 5 projection: Extension of Wave 1 from Wave 4 **3. Smart Money Validation** - **Order Blocks**: Identifies last opposing candle before breakout (institutional footprint) - **Fair Value Gaps**: Detects price imbalances for potential support/resistance **4. EWO Confirmation** - Calculates momentum: (EMA5 / EMA34 - 1) × 100 - Signal line crossovers confirm trend direction - Strong signals occur at extremes (< -13 or > 13 threshold) **5. Confluence Scoring (0-100%)** Points awarded for: - Fibonacci quality of Wave 2 retracement (10-30 pts) - Order Block presence (15 pts) - Fair Value Gap presence (10 pts) - Volume confirmation (10-15 pts) - Trend alignment with EMA50 (10 pts) - EWO confirmation (10-20 pts) --- ### 🎯 UNIQUE FEATURES **Pattern Locking System** - Once a valid pattern is detected, it locks until: - Pattern invalidates (price breaks Wave 0) - Pattern completes (Wave 5 reached) - Auto-timeout (configurable bars) - Prevents rapid signal flipping and false alerts **Signal Stability Controls** - Adjustable cooldown between signals (default: 20 bars) - Minimum bar distance between wave points - Direction change requirement option - Confirmation bars after Wave 2 formation **Visual Wave Tracking** - Solid lines for impulse waves (0→1, 2→3, 4→5) - Dashed lines for corrective waves (1→2, 3→4) - Numbered labels on each wave point - Real-time projection lines to targets **Comprehensive Dashboard** - Current wave status and lock state - Pattern grade (A+ to D based on confluence) - Projected vs actual wave levels (✓ when completed) - SMC confirmation status - Risk/Reward ratio calculation - EWO trend direction --- ### 📈 TRADING APPLICATION **Entry Strategy** - Wait for Wave 1-2 pattern detection (diamond signal) - Check confluence score (>65% = higher probability) - Verify EWO alignment with pattern direction - Enter after 30% retracement of Wave 2 (customizable) **Risk Management** - Stop Loss: Below Wave 0 (with buffer) - Take Profit 1: Wave 3 projection - Take Profit 2: Wave 5 projection - R:R displayed in dashboard **Invalidation Rules** - Price breaks below Wave 0 (bullish) or above (bearish) - Wave 2 level violated before Wave 3 forms - Pattern timeout exceeded --- ### ⚙️ KEY SETTINGS **Elliott Wave** - ZigZag Length: Pivot detection sensitivity - Fib Tolerance: Acceptable retracement range - Min Wave Size: Filter small movements **Signal Stability** - Signal Cooldown: Minimum bars between signals - Lock Pattern Until Invalid: Prevent signal changes - Confirmation Bars: Wait after Wave 2 **Wave Projection** - Wave 3/4/5 Fibonacci extensions - Projection display distance **EWO Settings** - Fast/Slow EMA lengths - Signal smoothing - Strength threshold **SMC Settings** - Order Block lookback period - FVG minimum size percentage --- ### 🔔 ALERTS - New bullish/bearish pattern detected - High confluence setup (>75%) - Pattern invalidation - Wave completion --- ### ⚠️ IMPORTANT NOTES - This indicator identifies **potential** Elliott Wave patterns based on mathematical rules - Elliott Wave analysis is subjective - patterns may be interpreted differently - Always combine with other analysis methods and proper risk management - Past pattern performance does not guarantee future results - Pattern locking prevents repainting but delays new pattern detection - Best used on higher timeframes (1H+) for cleaner wave structures --- ### 📚 METHODOLOGY REFERENCES **Elliott Wave Theory** - Wave 2 typically retraces 38.2% - 88.6% of Wave 1 - Wave 3 is often the strongest, extending 161.8% of Wave 1 - Wave 4 usually retraces 38.2% of Wave 3 - Wave 5 completes the impulse structure **Smart Money Concepts** - Order Blocks represent institutional supply/demand zones - FVGs indicate price inefficiencies that may act as magnets **Elliott Wave Oscillator** - Developed to identify wave momentum - Crossovers signal potential wave transitions - Extreme readings often coincide with wave completions --- ### 🎨 VISUAL ELEMENTS - **Green**: Bullish patterns and projections - **Red**: Bearish patterns and projections - **Orange**: Wave projection levels - **Purple**: Order Block zones - **Yellow**: Fair Value Gaps - **Blue**: Entry levels - **Diamond shapes**: New pattern signals - **Triangle shapes**: EWO crossover signals --- ### 💡 TIPS FOR BEST RESULTS 1. Use on liquid markets with clear trend behavior 2. Higher timeframes produce more reliable patterns 3. Look for confluence scores above 65% 4. Verify EWO alignment before entry 5. Consider market context (overall trend, key levels) 6. Adjust ZigZag length based on your trading style 7. Increase cooldown period for longer-term signals --- **Indicator Type**: Overlay **Markets**: All (Crypto, Forex, Stocks, Commodities) **Timeframes**: All (1H+ recommended) **Style**: Pattern Recognition + Momentum + Price Action
Pine Script®指標
由Smart-Day-Trader提供
5 Moving Averages – Custom Trend Colors + No Neutral Mode5 Moving Averages Pro – Custom Trend Colors + No Neutral Mode The cleanest and most professional 5-MA bundle on TradingView. Features: • 5 fully customizable moving averages (period + type: SMA, EMA, WMA, HMA, VWMA) • All 5 MAs instantly change color based on global trend: – Green → price above ALL 5 MAs (strong bullish) – Red → price below ALL 5 MAs (strong bearish) – Optional neutral gray (or completely disable neutral mode) • Fully customizable bullish, bearish and neutral colors • Optional background coloring (very light & clean) • Trend change arrows (only on real bullish/bearish confirmation) • "No Neutral" mode → forces green/red even in sideways markets (price vs average of the 5 MAs) Perfect for: • Trend-following systems • Clean chart setups • Scalping, day trading & swing trading • Confirming institutional bias Zero repainting | Super lightweight | Works on all timeframes & markets One of the most loved multi-MA indicators worldwide. Join 250K+ traders already using it daily!
Pine Script®指標
由TajanDamien提供