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指标和策略

RDI Price ZonesOverview RDI Price Zones is a manual price-level visualization indicator. It draws user-defined horizontal zones and a reference line to help visually organize important price areas on the chart. This script does not calculate, infer, or fetch market data. All levels are entered manually by the user. What it draws • Reference Line — A horizontal line at a user-defined price level. • Upper Zones — Rectangular price areas drawn to the right of the chart. • Lower Zones — Rectangular price areas drawn to the left of the chart. These elements are purely visual and do not generate signals. Inputs • Up to three upper zone price levels (manual input). • Up to three lower zone price levels (manual input). • One reference price level. • Zone thickness defined as a percentage of price. • Optional color and border settings. Design notes • Zones are drawn as rectangles anchored to price levels. • Rectangles extend a fixed number of bars for visualization purposes only. • Percentage-based thickness allows zones to scale across different instruments. Usage This indicator is intended to help users visually map predefined price areas during a session. It does not predict price movement, suggest trades, or provide trading signals. Disclaimer This script is provided for educational and visualization purposes only. It does not offer trading advice, does not guarantee results, and should not be used as the sole basis for trading decisions. Short summary (≤200 chars) Manual price-zone visualization tool. Draws user-defined rectangular zones and a reference line. No calculations, no signals, no predictions. Educational use only.
Pine Script®指标
由Neurorandy提供
Signal Architect Stop-Hunt Signal Architect™ — Developer Note These daily posts are intentional. They are designed to help potential users visually observe consistency—not just in outcomes, but in process—across multiple futures products, market conditions, and timeframes, using the Stop Hunt Indicator alongside my proprietary Signal Architect™ framework. The goal is simple: To show how structure, behavior, and probability repeat—every day—despite a constantly changing market. If you follow these posts over time, you will begin to recognize that: • The same behaviors appear across different futures contracts • The same reactions occur on multiple timeframes • The same structural traps and stop events repeat regardless of volatility regime That consistency is not coincidence. Consistency is the signal. Over time, that consistency should become familiar— and familiarity should become your edge. ________________________________________ 🧠 What You’re Seeing (And Why It Matters) This indicator includes a limited visual preview of a proprietary power signal I have personally developed and refined across: • Futures • Algorithmic trading systems • Options structure • Equity market behavior Every tool I release is built around one core principle: Clarity of direction without over-promising or over-fitting. That is why all Signal Architect™ tools emphasize: • Market structure first • High-probability directional context • Clear, visual risk framing • No predictive claims • No curve-fit illusions What you see publicly is not the full system—only controlled, educational previews meant to demonstrate how structure and probability align in real markets. ________________________________________ 📊 Background & Scope Over the years, I have personally developed 800+ programs, including: • Equity systems • Futures strategies • Options structure tools • Dividend & income frameworks • Portfolio construction and allocation logic This includes 40+ Nasdaq-100 trading bots, several operating under extremely strict rule-sets and controlled deployment conditions. Nothing shared publicly represents my complete internal framework. Public posts exist for education, observation, and pattern recognition—not signals, not advice, and not promises. ________________________________________ 🤝 For Those Who Find Value If these daily posts help you see the market more clearly: • Follow, boost, and share my scripts, Ideas, and MINDS posts • Feel free to message me directly with questions or build requests • Constructive feedback and collaboration are always welcome For traders who want to go deeper, optional memberships may include: • Additional signal access • Early previews • Occasional free tools and upgrades 🔗 Membership & Signals: trianchor.gumroad.com ________________________________________ ⚠️ Final Note Everything published publicly is educational and analytical only. Markets carry risk. Discipline, patience, and risk management always come first. Watch the consistency. Study the structure. Let the market repeat itself. — Signal Architect™ ________________________________________ 🔗 Personally Developed GPT Tools • AuctionFlow GPT chatgpt.com • Signal Architect™ Gamma Desk – Market Intelligence chatgpt.com • Gamma Squeeze Watchtower™ chatgpt.com
Pine Script®指标
由SignalArchitecT_AI提供
Signal Architect Stop-Hunt Proxy Signal Architect™ — Developer Note These daily posts are intentional. They are designed to help potential users visually observe consistency—not just in outcomes, but in process—across multiple futures products, market conditions, and timeframes, using the Stop Hunt Indicator alongside my proprietary Signal Architect™ framework. The goal is simple: To show how structure, behavior, and probability repeat—every day—despite a constantly changing market. If you follow these posts over time, you will begin to recognize that: • The same behaviors appear across different futures contracts • The same reactions occur on multiple timeframes • The same structural traps and stop events repeat regardless of volatility regime That consistency is not coincidence. Consistency is the signal. Over time, that consistency should become familiar— and familiarity should become your edge. ________________________________________ 🧠 What You’re Seeing (And Why It Matters) This indicator includes a limited visual preview of a proprietary power signal I have personally developed and refined across: • Futures • Algorithmic trading systems • Options structure • Equity market behavior Every tool I release is built around one core principle: Clarity of direction without over-promising or over-fitting. That is why all Signal Architect™ tools emphasize: • Market structure first • High-probability directional context • Clear, visual risk framing • No predictive claims • No curve-fit illusions What you see publicly is not the full system—only controlled, educational previews meant to demonstrate how structure and probability align in real markets. ________________________________________ 📊 Background & Scope Over the years, I have personally developed 800+ programs, including: • Equity systems • Futures strategies • Options structure tools • Dividend & income frameworks • Portfolio construction and allocation logic This includes 40+ Nasdaq-100 trading bots, several operating under extremely strict rule-sets and controlled deployment conditions. Nothing shared publicly represents my complete internal framework. Public posts exist for education, observation, and pattern recognition—not signals, not advice, and not promises. ________________________________________ 🤝 For Those Who Find Value If these daily posts help you see the market more clearly: • Follow, boost, and share my scripts, Ideas, and MINDS posts • Feel free to message me directly with questions or build requests • Constructive feedback and collaboration are always welcome For traders who want to go deeper, optional memberships may include: • Additional signal access • Early previews • Occasional free tools and upgrades 🔗 Membership & Signals: trianchor.gumroad.com ________________________________________ ⚠️ Final Note Everything published publicly is educational and analytical only. Markets carry risk. Discipline, patience, and risk management always come first. Watch the consistency. Study the structure. Let the market repeat itself. — Signal Architect™ ________________________________________ 🔗 Personally Developed GPT Tools • AuctionFlow GPT chatgpt.com • Signal Architect™ Gamma Desk – Market Intelligence chatgpt.com • Gamma Squeeze Watchtower™ chatgpt.com
Pine Script®指标
由SignalArchitecT_AI提供
Signal Architect Stop-Hunt ProxySignal Architect™ — Developer Note These daily posts are intentional. They are designed to help potential users visually observe consistency—not just in outcomes, but in process—across multiple futures products, market conditions, and timeframes, using the Stop Hunt Indicator alongside my proprietary Signal Architect™ framework. The goal is simple: To show how structure, behavior, and probability repeat—every day—despite a constantly changing market. If you follow these posts over time, you will begin to recognize that: • The same behaviors appear across different futures contracts • The same reactions occur on multiple timeframes • The same structural traps and stop events repeat regardless of volatility regime That consistency is not coincidence. Consistency is the signal. Over time, that consistency should become familiar— and familiarity should become your edge. ________________________________________ 🧠 What You’re Seeing (And Why It Matters) This indicator includes a limited visual preview of a proprietary power signal I have personally developed and refined across: • Futures • Algorithmic trading systems • Options structure • Equity market behavior Every tool I release is built around one core principle: Clarity of direction without over-promising or over-fitting. That is why all Signal Architect™ tools emphasize: • Market structure first • High-probability directional context • Clear, visual risk framing • No predictive claims • No curve-fit illusions What you see publicly is not the full system—only controlled, educational previews meant to demonstrate how structure and probability align in real markets. ________________________________________ 📊 Background & Scope Over the years, I have personally developed 800+ programs, including: • Equity systems • Futures strategies • Options structure tools • Dividend & income frameworks • Portfolio construction and allocation logic This includes 40+ Nasdaq-100 trading bots, several operating under extremely strict rule-sets and controlled deployment conditions. Nothing shared publicly represents my complete internal framework. Public posts exist for education, observation, and pattern recognition—not signals, not advice, and not promises. ________________________________________ 🤝 For Those Who Find Value If these daily posts help you see the market more clearly: • Follow, boost, and share my scripts, Ideas, and MINDS posts • Feel free to message me directly with questions or build requests • Constructive feedback and collaboration are always welcome For traders who want to go deeper, optional memberships may include: • Additional signal access • Early previews • Occasional free tools and upgrades 🔗 Membership & Signals: trianchor.gumroad.com ________________________________________ ⚠️ Final Note Everything published publicly is educational and analytical only. Markets carry risk. Discipline, patience, and risk management always come first. Watch the consistency. Study the structure. Let the market repeat itself. — Signal Architect™ ________________________________________ 🔗 Personally Developed GPT Tools • AuctionFlow GPT chatgpt.com • Signal Architect™ Gamma Desk – Market Intelligence chatgpt.com • Gamma Squeeze Watchtower™ chatgpt.com
Pine Script®指标
由SignalArchitecT_AI提供
Signal Architect Stop-Hunt ProxySignal Architect™ — Developer Note These daily posts are intentional. They are designed to help potential users visually observe consistency—not just in outcomes, but in process—across multiple futures products, market conditions, and timeframes, using the Stop Hunt Indicator alongside my proprietary Signal Architect™ framework. The goal is simple: To show how structure, behavior, and probability repeat—every day—despite a constantly changing market. If you follow these posts over time, you will begin to recognize that: • The same behaviors appear across different futures contracts • The same reactions occur on multiple timeframes • The same structural traps and stop events repeat regardless of volatility regime That consistency is not coincidence. Consistency is the signal. Over time, that consistency should become familiar— and familiarity should become your edge. ________________________________________ 🧠 What You’re Seeing (And Why It Matters) This indicator includes a limited visual preview of a proprietary power signal I have personally developed and refined across: • Futures • Algorithmic trading systems • Options structure • Equity market behavior Every tool I release is built around one core principle: Clarity of direction without over-promising or over-fitting. That is why all Signal Architect™ tools emphasize: • Market structure first • High-probability directional context • Clear, visual risk framing • No predictive claims • No curve-fit illusions What you see publicly is not the full system—only controlled, educational previews meant to demonstrate how structure and probability align in real markets. ________________________________________ 📊 Background & Scope Over the years, I have personally developed 800+ programs, including: • Equity systems • Futures strategies • Options structure tools • Dividend & income frameworks • Portfolio construction and allocation logic This includes 40+ Nasdaq-100 trading bots, several operating under extremely strict rule-sets and controlled deployment conditions. Nothing shared publicly represents my complete internal framework. Public posts exist for education, observation, and pattern recognition—not signals, not advice, and not promises. ________________________________________ 🤝 For Those Who Find Value If these daily posts help you see the market more clearly: • Follow, boost, and share my scripts, Ideas, and MINDS posts • Feel free to message me directly with questions or build requests • Constructive feedback and collaboration are always welcome For traders who want to go deeper, optional memberships may include: • Additional signal access • Early previews • Occasional free tools and upgrades 🔗 Membership & Signals: trianchor.gumroad.com ________________________________________ ⚠️ Final Note Everything published publicly is educational and analytical only. Markets carry risk. Discipline, patience, and risk management always come first. Watch the consistency. Study the structure. Let the market repeat itself. — Signal Architect™ ________________________________________ 🔗 Personally Developed GPT Tools • AuctionFlow GPT chatgpt.com • Signal Architect™ Gamma Desk – Market Intelligence chatgpt.com • Gamma Squeeze Watchtower™ chatgpt.com
Pine Script®指标
由SignalArchitecT_AI提供
Signal Architect Stop-Hunt ProxySignal Architect™ — Developer Note These daily posts are intentional. They are designed to help potential users visually observe consistency—not just in outcomes, but in process—across multiple futures products, market conditions, and timeframes, using the Stop Hunt Indicator alongside my proprietary Signal Architect™ framework. The goal is simple: To show how structure, behavior, and probability repeat—every day—despite a constantly changing market. If you follow these posts over time, you will begin to recognize that: The same behaviors appear across different futures contracts The same reactions occur on multiple timeframes The same structural traps and stop events repeat regardless of volatility regime That consistency is not coincidence. Consistency is the signal. Over time, that consistency should become familiar— and familiarity should become your edge. 🧠 What You’re Seeing (And Why It Matters) This indicator includes a limited visual preview of a proprietary power signal I have personally developed and refined across: Futures Algorithmic trading systems Options structure Equity market behavior Every tool I release is built around one core principle: Clarity of direction without over-promising or over-fitting. That is why all Signal Architect™ tools emphasize: Market structure first High-probability directional context Clear, visual risk framing No predictive claims No curve-fit illusions What you see publicly is not the full system—only controlled, educational previews meant to demonstrate how structure and probability align in real markets. 📊 Background & Scope Over the years, I have personally developed 800+ programs, including: Equity systems Futures strategies Options structure tools Dividend & income frameworks Portfolio construction and allocation logic This includes 40+ Nasdaq-100 trading bots, several operating under extremely strict rule-sets and controlled deployment conditions. Nothing shared publicly represents my complete internal framework. Public posts exist for education, observation, and pattern recognition—not signals, not advice, and not promises. 🤝 For Those Who Find Value If these daily posts help you see the market more clearly: Follow, boost, and share my scripts, Ideas, and MINDS posts Feel free to message me directly with questions or build requests Constructive feedback and collaboration are always welcome For traders who want to go deeper, optional memberships may include: Additional signal access Early previews Occasional free tools and upgrades 🔗 Membership & Signals: trianchor.gumroad.com ⚠️ Final Note Everything published publicly is educational and analytical only. Markets carry risk. Discipline, patience, and risk management always come first. Watch the consistency. Study the structure. Let the market repeat itself. — Signal Architect™ 🔗 Personally Developed GPT Tools AuctionFlow GPT chatgpt.com Signal Architect™ Gamma Desk – Market Intelligence chatgpt.com Gamma Squeeze Watchtower™ chatgpt.com
Pine Script®指标
由SignalArchitecT_AI提供
Hyperfork Matrix🔱 Hyperfork Matrix 🔱 A manual Andrews Pitchfork tool with action/reaction propagation lines and lattice matrix functionality. This indicator extends Dr. Alan Andrews' and Patrick Mikula's median line methodology by automating the projection of reaction and action lines at equidistant intervals, creating a time-price grid that highlights where pivot levels intersect the matrix. Three pitchfork variants are supported: Original, Schiff, and Modified Schiff. Each variant adjusts the anchor point position to accommodate different trend angles. ═══════════════════════════════════════════════════════════════ █ THE METHOD Andrews Pitchfork Dr. Alan Andrews developed the pitchfork as a trend channel tool. The core principle: price tends to return to the median line roughly 80% of the time. When it fails to reach the median, a reversal may be developing. A pitchfork requires three pivot points: • Point A — The anchor (starting pivot) • Point B — First swing in the opposite direction • Point C — Second swing, same direction as A The median line runs from Point A through the midpoint of B-C. Parallel lines through B and C form the channel boundaries. Action/Reaction Principle Based on Newton's third law ("action and reaction are equal and opposite"), this principle suggests that price movements elicit proportional reactions in the future. By projecting lines at equal intervals along the pitchfork's slope, we anticipate where these reactions may occur. Lattice Matrix The lattice squares pivot price levels to the matrix structure. A horizontal from your selected pivot intersects the pitchfork and propagation lines, with verticals drawn at each intersection. These verticals mark time points where price-time geometry converges—potential areas to watch for trend changes. ═══════════════════════════════════════════════════════════════ █ HOW THE INDICATOR WORKS This section explains the calculation flow from your inputs to the final drawing. Step 1 — Pivot Selection You click on the chart to select three timestamps. The indicator retrieves the high or low price at each timestamp based on your starting pivot type selection: • Starting with "Low" creates a Low-High-Low pattern • Starting with "High" creates a High-Low-High pattern Step 2 — Anchor Calculation The anchor position depends on your pitchfork variant: • Original — Anchor stays at Point A • Schiff — Anchor shifts 50% toward B in price (Y-axis only) • Modified Schiff — Anchor shifts 50% toward B in both time and price Step 3 — Median Line A line is drawn from the anchor through the midpoint of the B-C segment. This median line defines the channel's slope and center. Step 4 — Parallel Tines Parallel lines are drawn through Points B and C, maintaining the median line's slope. These form the upper and lower channel boundaries. Step 5 — Extra Parallels If configured, additional parallel lines are drawn at equal spacing beyond B and C. The spacing equals the distance from the median to each tine. Step 6 — Handle Length The "handle" is the segment from the anchor to the B-C midpoint. This length becomes the unit of measurement for propagation. Step 7 — Propagation Points Points are placed along the median line at handle-length intervals: • Forward points extend into the future • Backward points extend into the past Step 8 — Reaction Lines Through each propagation point, a line is drawn parallel to B-C (the transversal slope). These reaction lines mark time-price zones based on the original swing rhythm, where trend changes may occur. Step 9 — Action Lines Through each propagation point, a line is drawn parallel to A-B (the initial move slope). These action lines project the original momentum into future price zones. Step 10 — Lattice Grid If enabled, a horizontal line is drawn at the price level of your selected pivot. Vertical lines are then drawn at every intersection between this horizontal and the selected line type (pitchfork, reaction, or action lines). Step 11 — Alert Monitoring On each bar, the indicator checks if the price has crossed any of the drawn lines. Crossings trigger alerts based on your configuration. ═══════════════════════════════════════════════════════════════ █ PITCHFORK VARIANTS Original (Andrews) The classic pitchfork. The anchor remains at Point A. Best suited for strong trending markets where price respects steep channels. Schiff Named after Jerome Schiff, a student of Andrews. The anchor shifts halfway toward Point B in price only—same time position as A, but price is the midpoint of A and B. This produces a less steep channel, better suited for: • Shallow trends • Corrective phases • Markets where the original pitchfork angle is too aggressive Modified Schiff The anchor shifts halfway toward Point B in both time and price—positioned at the midpoint of the A-B segment. This creates an even gentler slope than the standard Schiff variant. Use when: • Trends are weak or ranging • Price doesn't respect steeper channel angles • You need a middle ground between Original and Schiff ═══════════════════════════════════════════════════════════════ █ ACTION & REACTION LINES Reaction Lines These run parallel to the B-C segment (the "transversal"). They represent the market's response rhythm—the swing from B to C sets a pattern that may repeat at predictable intervals. Action Lines These run parallel to the A-B segment (the initial impulse). They project the original momentum forward, suggesting where similar price movements may begin or end. Forward vs Backward • Forward Lines — Project into the future beyond the B-C midpoint • Backward Lines — Project into the past before Point A Most analysis focuses on forward lines, but backward lines can reveal historical confluence with past pivots. Propagation Spacing Lines are spaced at equal intervals defined by the handle length (anchor to B-C midpoint). This creates a rhythmic structure where each segment equals the original pitchfork's core measurement. Action Lines Reaction Lines Extra Parallels with/ both Action & Reactions Line extended within the grid ═══════════════════════════════════════════════════════════════ █ LATTICE MATRIX The lattice creates a grid overlay within the pitchfork structure. Horizontal Line A horizontal line is drawn at the price level of your selected pivot (A, B, or C). This squares the pivot's price level to find where it aligns with the matrix structure. These confluences may represent higher-probability reaction points in time. Vertical Lines Vertical lines are drawn at every point where the horizontal intersects your selected line source. These verticals mark time points—potential areas to watch for trend changes. • Pitchfork & Parallels — Intersections with median and all parallel tines • Action Lines — Intersections with action transversals • Reaction Lines — Intersections with reaction transversals • Action & Reaction — Both types combined Envelope Clamping Lattice lines are automatically clamped to stay within the pitchfork's channel envelope (bounded by the outermost parallels). This keeps the grid visually clean and focused on relevant areas. ═══════════════════════════════════════════════════════════════ █ ALERTS The indicator monitors price crossings and triggers alerts when the price moves through any drawn line type. Available Alert Types • Pitchfork Lines — Crossing the median or any parallel • Action Lines — Crossing any action transversal (when action lines are drawn) • Reaction Lines — Crossing any reaction transversal (when reaction lines are drawn) • Lattice Horizontal — Crossing the horizontal price level (when lattice is enabled) • Any Line Crossing — Combined alert for all of the above Setting Up Alerts 1. Right-click on the indicator or use the alert menu 2. Select "Create Alert." 3. Choose the desired condition from the dropdown 4. Configure notification preferences (pop-up, email, webhook, etc.) Alert Timing Alerts trigger once per bar close when a crossing is detected between the previous and current bar's close prices. ═══════════════════════════════════════════════════════════════ █ HOW TO USE Basic Setup 1. Add the indicator to your chart 2. When prompted, click on three pivot points in sequence: A, B, C 3. Choose starting pivot type: Auto (detects pattern), Low (LHL), or High (HLH) 4. The pitchfork draws automatically Adjusting the Pitchfork • Change the variant (Original/Schiff/Modified Schiff) if the angle doesn't suit your trend • Add extra parallel levels to see where price might react beyond the main channel • Disable or Adjust price range min/max to hide parallels outside your focus area Adding Propagation Lines • Adjust forward offset to add/remove lines beyond auto-extend (0 = to current bar) • Choose which line types to display: Reaction Only, Action Only, or Both • Customize colors to distinguish line types visually Using the Lattice • Enable "Draw Lattice" in the Lattice settings group • Select which pivot's price level to use for the horizontal • Choose the intersection source that matches your analysis style • Look for time zones where verticals cluster—these may be significant dates Log Scale Charts If your chart uses logarithmic scale, enable "Logarithmic Scale" in Pitchfork Settings. This ensures all calculations transform correctly for log price axes. ═══════════════════════════════════════════════════════════════ █ SETTINGS REFERENCE 1. Pivot Points • Starting Pivot Type — Auto (detect pattern), Low (force LHL), or High (force HLH) • Pivot A/B/C Time — Timestamps for your three pivots (click to select) • Show Pivot Labels — Display A, B, C labels at pivot locations • Pivot Colors — Customize high/low label colors • Label Size — Tiny, Small, Normal, or Large 2. Pitchfork Settings • Logarithmic Scale — Enable for log charts • Pitchfork Type — Original, Schiff, or Modified Schiff • Extra Parallel Levels — Additional parallels beyond B and C • Line styling (color, width, style) • Extend Direction — Right only or Both directions • Enable Price Range Filter — Toggle filtering of extra parallels • Price Range Min/Max — Hide extra parallels outside this range 3. Action / Reaction Lines • Draw Type — None, Reaction Only, Action Only, or Both • Forward Lines Offset — Adjust from auto-extend (0 = to current bar, positive adds more) • Backward Lines Count — Number of lines projected before Point A • Separate styling for reaction and action lines 4. Lattice • Draw Lattice — Master toggle • Select Pivot for Horizontal — A, B, or C price level • Intersection Source — Which lines to use for vertical placement • Lattice styling ═══════════════════════════════════════════════════════════════ █ LIMITATIONS • Maximum 500 lines — TradingView limits line objects; complex setups with many parallels and propagation lines may approach this limit • Manual pivot selection — Pivots must be selected manually via timestamp inputs; no auto-detection • Log scale requires toggle — You must enable "Logarithmic Scale" manually if your chart uses log axes • Minor visual drift — Action/Reaction lines may shift slightly when toggling between odd and even extra parallel counts (cosmetic only) • Backward lines visibility — When adding backward propagation lines, you may need to scroll the chart left for them to render ═══════════════════════════════════════════════════════════════ █ FURTHER READING For deeper study of pitchfork analysis and action/reaction methodology: • Patrick Mikula's "The Best Trendline Methods of Alan Andrews and Five New Trendline Techniques" No affiliation implied. Referenced for educational context only. ═══════════════════════════════════════════════════════════════ █ RELATED For a video walkthrough of the Super Pitchfork methodology that inspired this indicator: How to Build a Super Pitchfork with Reaction & Trigger Lines This tutorial covers manual pitchfork construction, reaction line projection, and timing techniques.
Pine Script®指标
由BlueprintResearch提供
2
SVE Pivot Points v5//@version=6 indicator(title="SVE Pivot Points", overlay=true, max_lines_count=500) // Input Parameters agg_period = input.timeframe("D", title="Aggregation period") show_labels = input.bool(true, title="Show Labels") line_width = input.int(1, title="Line Width", minval=1, maxval=4) // Detect new aggregation period bool new_agg_bar = bool(ta.change(time(agg_period))) // Calculate how many chart bars fit in one aggregation period get_bars_in_period(string tf) => tf_secs = timeframe.in_seconds(tf) chart_secs = timeframe.in_seconds(timeframe.period) // If aggregation period is smaller than or equal to chart timeframe, use 1 bar // Otherwise calculate how many chart bars fit math.max(1, int(math.ceil(tf_secs / chart_secs))) bars_in_period = get_bars_in_period(agg_period) // Fetch previous period's high, low, close ph = request.security(syminfo.tickerid, agg_period, high , barmerge.gaps_off, barmerge.lookahead_on) pl = request.security(syminfo.tickerid, agg_period, low , barmerge.gaps_off, barmerge.lookahead_on) pc = request.security(syminfo.tickerid, agg_period, close , barmerge.gaps_off, barmerge.lookahead_on) // Calculate pivot points pp = (ph + pl + pc) / 3 r1 = 2 * pp - pl r2 = pp + (ph - pl) r3 = 2 * pp + (ph - 2 * pl) s1 = 2 * pp - ph s2 = pp - (ph - pl) s3 = 2 * pp - (2 * ph - pl) // Calculate mean levels r1m = (pp + r1) / 2 r2m = (r1 + r2) / 2 r3m = (r2 + r3) / 2 s1m = (pp + s1) / 2 s2m = (s1 + s2) / 2 s3m = (s2 + s3) / 2 // Previous high and low hh = ph ll = pl // Colors color_r = color.red color_s = color.green color_pp = color.blue color_hl = color.gray // Arrays to store historical lines (for showing past periods) var line lines_r3 = array.new_line() var line lines_r3m = array.new_line() var line lines_r2 = array.new_line() var line lines_r2m = array.new_line() var line lines_r1 = array.new_line() var line lines_r1m = array.new_line() var line lines_hh = array.new_line() var line lines_pp = array.new_line() var line lines_ll = array.new_line() var line lines_s1m = array.new_line() var line lines_s1 = array.new_line() var line lines_s2m = array.new_line() var line lines_s2 = array.new_line() var line lines_s3m = array.new_line() var line lines_s3 = array.new_line() // Current period labels (only show for current period) var label lbl_r3 = na var label lbl_r3m = na var label lbl_r2 = na var label lbl_r2m = na var label lbl_r1 = na var label lbl_r1m = na var label lbl_hh = na var label lbl_pp = na var label lbl_ll = na var label lbl_s1m = na var label lbl_s1 = na var label lbl_s2m = na var label lbl_s2 = na var label lbl_s3m = na var label lbl_s3 = na // Track current period start var int current_period_start = 0 // On new aggregation period, create new lines if new_agg_bar current_period_start := bar_index // Create lines for this period - they start here and will be extended array.push(lines_r3, line.new(bar_index, r3, bar_index + bars_in_period, r3, color=color_r, width=line_width)) array.push(lines_r3m, line.new(bar_index, r3m, bar_index + bars_in_period, r3m, color=color_r, width=line_width)) array.push(lines_r2, line.new(bar_index, r2, bar_index + bars_in_period, r2, color=color_r, width=line_width)) array.push(lines_r2m, line.new(bar_index, r2m, bar_index + bars_in_period, r2m, color=color_r, width=line_width)) array.push(lines_r1, line.new(bar_index, r1, bar_index + bars_in_period, r1, color=color_r, width=line_width)) array.push(lines_r1m, line.new(bar_index, r1m, bar_index + bars_in_period, r1m, color=color_r, width=line_width)) array.push(lines_hh, line.new(bar_index, hh, bar_index + bars_in_period, hh, color=color_hl, width=line_width)) array.push(lines_pp, line.new(bar_index, pp, bar_index + bars_in_period, pp, color=color_pp, width=line_width)) array.push(lines_ll, line.new(bar_index, ll, bar_index + bars_in_period, ll, color=color_hl, width=line_width)) array.push(lines_s1m, line.new(bar_index, s1m, bar_index + bars_in_period, s1m, color=color_s, width=line_width)) array.push(lines_s1, line.new(bar_index, s1, bar_index + bars_in_period, s1, color=color_s, width=line_width)) array.push(lines_s2m, line.new(bar_index, s2m, bar_index + bars_in_period, s2m, color=color_s, width=line_width)) array.push(lines_s2, line.new(bar_index, s2, bar_index + bars_in_period, s2, color=color_s, width=line_width)) array.push(lines_s3m, line.new(bar_index, s3m, bar_index + bars_in_period, s3m, color=color_s, width=line_width)) array.push(lines_s3, line.new(bar_index, s3, bar_index + bars_in_period, s3, color=color_s, width=line_width)) // Delete old labels and create new ones if show_labels label.delete(lbl_r3) label.delete(lbl_r3m) label.delete(lbl_r2) label.delete(lbl_r2m) label.delete(lbl_r1) label.delete(lbl_r1m) label.delete(lbl_hh) label.delete(lbl_pp) label.delete(lbl_ll) label.delete(lbl_s1m) label.delete(lbl_s1) label.delete(lbl_s2m) label.delete(lbl_s2) label.delete(lbl_s3m) label.delete(lbl_s3) lbl_r3 := label.new(bar_index + bars_in_period, r3, "R3", style=label.style_label_left, color=color.new(color_r, 100), textcolor=color_r, size=size.small) lbl_r3m := label.new(bar_index + bars_in_period, r3m, "R3M", style=label.style_label_left, color=color.new(color_r, 100), textcolor=color_r, size=size.small) lbl_r2 := label.new(bar_index + bars_in_period, r2, "R2", style=label.style_label_left, color=color.new(color_r, 100), textcolor=color_r, size=size.small) lbl_r2m := label.new(bar_index + bars_in_period, r2m, "R2M", style=label.style_label_left, color=color.new(color_r, 100), textcolor=color_r, size=size.small) lbl_r1 := label.new(bar_index + bars_in_period, r1, "R1", style=label.style_label_left, color=color.new(color_r, 100), textcolor=color_r, size=size.small) lbl_r1m := label.new(bar_index + bars_in_period, r1m, "R1M", style=label.style_label_left, color=color.new(color_r, 100), textcolor=color_r, size=size.small) lbl_hh := label.new(bar_index + bars_in_period, hh, "HH", style=label.style_label_left, color=color.new(color_hl, 100), textcolor=color_hl, size=size.small) lbl_pp := label.new(bar_index + bars_in_period, pp, "PP", style=label.style_label_left, color=color.new(color_pp, 100), textcolor=color_pp, size=size.small) lbl_ll := label.new(bar_index + bars_in_period, ll, "LL", style=label.style_label_left, color=color.new(color_hl, 100), textcolor=color_hl, size=size.small) lbl_s1m := label.new(bar_index + bars_in_period, s1m, "S1M", style=label.style_label_left, color=color.new(color_s, 100), textcolor=color_s, size=size.small) lbl_s1 := label.new(bar_index + bars_in_period, s1, "S1", style=label.style_label_left, color=color.new(color_s, 100), textcolor=color_s, size=size.small) lbl_s2m := label.new(bar_index + bars_in_period, s2m, "S2M", style=label.style_label_left, color=color.new(color_s, 100), textcolor=color_s, size=size.small) lbl_s2 := label.new(bar_index + bars_in_period, s2, "S2", style=label.style_label_left, color=color.new(color_s, 100), textcolor=color_s, size=size.small) lbl_s3m := label.new(bar_index + bars_in_period, s3m, "S3M", style=label.style_label_left, color=color.new(color_s, 100), textcolor=color_s, size=size.small) lbl_s3 := label.new(bar_index + bars_in_period, s3, "S3", style=label.style_label_left, color=color.new(color_s, 100), textcolor=color_s, size=size.small) // On the last bar, update the current period's lines to extend properly into the future if barstate.islast and array.size(lines_pp) > 0 // Get the most recent lines line last_r3 = array.get(lines_r3, array.size(lines_r3) - 1) line last_r3m = array.get(lines_r3m, array.size(lines_r3m) - 1) line last_r2 = array.get(lines_r2, array.size(lines_r2) - 1) line last_r2m = array.get(lines_r2m, array.size(lines_r2m) - 1) line last_r1 = array.get(lines_r1, array.size(lines_r1) - 1) line last_r1m = array.get(lines_r1m, array.size(lines_r1m) - 1) line last_hh = array.get(lines_hh, array.size(lines_hh) - 1) line last_pp = array.get(lines_pp, array.size(lines_pp) - 1) line last_ll = array.get(lines_ll, array.size(lines_ll) - 1) line last_s1m = array.get(lines_s1m, array.size(lines_s1m) - 1) line last_s1 = array.get(lines_s1, array.size(lines_s1) - 1) line last_s2m = array.get(lines_s2m, array.size(lines_s2m) - 1) line last_s2 = array.get(lines_s2, array.size(lines_s2) - 1) line last_s3m = array.get(lines_s3m, array.size(lines_s3m) - 1) line last_s3 = array.get(lines_s3, array.size(lines_s3) - 1) // Calculate end point: period start + bars in period int end_bar = current_period_start + bars_in_period // Update line endpoints line.set_x2(last_r3, end_bar) line.set_x2(last_r3m, end_bar) line.set_x2(last_r2, end_bar) line.set_x2(last_r2m, end_bar) line.set_x2(last_r1, end_bar) line.set_x2(last_r1m, end_bar) line.set_x2(last_hh, end_bar) line.set_x2(last_pp, end_bar) line.set_x2(last_ll, end_bar) line.set_x2(last_s1m, end_bar) line.set_x2(last_s1, end_bar) line.set_x2(last_s2m, end_bar) line.set_x2(last_s2, end_bar) line.set_x2(last_s3m, end_bar) line.set_x2(last_s3, end_bar) // Update label positions if show_labels label.set_x(lbl_r3, end_bar) label.set_x(lbl_r3m, end_bar) label.set_x(lbl_r2, end_bar) label.set_x(lbl_r2m, end_bar) label.set_x(lbl_r1, end_bar) label.set_x(lbl_r1m, end_bar) label.set_x(lbl_hh, end_bar) label.set_x(lbl_pp, end_bar) label.set_x(lbl_ll, end_bar) label.set_x(lbl_s1m, end_bar) label.set_x(lbl_s1, end_bar) label.set_x(lbl_s2m, end_bar) label.set_x(lbl_s2, end_bar) label.set_x(lbl_s3m, end_bar) label.set_x(lbl_s3, end_bar) // Limit array sizes to prevent memory issues (keep last 100 periods) max_lines = 100 if array.size(lines_pp) > max_lines line.delete(array.shift(lines_r3)) line.delete(array.shift(lines_r3m)) line.delete(array.shift(lines_r2)) line.delete(array.shift(lines_r2m)) line.delete(array.shift(lines_r1)) line.delete(array.shift(lines_r1m)) line.delete(array.shift(lines_hh)) line.delete(array.shift(lines_pp)) line.delete(array.shift(lines_ll)) line.delete(array.shift(lines_s1m)) line.delete(array.shift(lines_s1)) line.delete(array.shift(lines_s2m)) line.delete(array.shift(lines_s2)) line.delete(array.shift(lines_s3m)) line.delete(array.shift(lines_s3))
Pine Script®指标
由thexfounder提供
SVE Pivot Points (v2) //@version=6 indicator(title="SVE Pivot Points", overlay=true, max_lines_count=500) // Input Parameters agg_period = input.timeframe("D", title="Aggregation period") extend_bars = input.int(50, title="Bars to extend into future", minval=1, maxval=500) show_labels = input.bool(true, title="Show Labels") // Line width line_width = input.int(1, title="Line Width", minval=1, maxval=4) // Detect new aggregation period bool new_agg_bar = bool(ta.change(time(agg_period))) // Fetch previous period's high, low, close ph = request.security(syminfo.tickerid, agg_period, high , barmerge.gaps_off, barmerge.lookahead_on) pl = request.security(syminfo.tickerid, agg_period, low , barmerge.gaps_off, barmerge.lookahead_on) pc = request.security(syminfo.tickerid, agg_period, close , barmerge.gaps_off, barmerge.lookahead_on) // Calculate pivot points pp = (ph + pl + pc) / 3 r1 = 2 * pp - pl r2 = pp + (ph - pl) r3 = 2 * pp + (ph - 2 * pl) s1 = 2 * pp - ph s2 = pp - (ph - pl) s3 = 2 * pp - (2 * ph - pl) // Calculate mean levels r1m = (pp + r1) / 2 r2m = (r1 + r2) / 2 r3m = (r2 + r3) / 2 s1m = (pp + s1) / 2 s2m = (s1 + s2) / 2 s3m = (s2 + s3) / 2 // Previous high and low hh = ph ll = pl // Colors color_r = color.red color_s = color.green color_pp = color.blue color_hl = color.gray // Persistent line variables var line line_r3 = na var line line_r3m = na var line line_r2 = na var line line_r2m = na var line line_r1 = na var line line_r1m = na var line line_hh = na var line line_pp = na var line line_ll = na var line line_s1m = na var line line_s1 = na var line line_s2m = na var line line_s2 = na var line line_s3m = na var line line_s3 = na // Persistent label variables var label lbl_r3 = na var label lbl_r3m = na var label lbl_r2 = na var label lbl_r2m = na var label lbl_r1 = na var label lbl_r1m = na var label lbl_hh = na var label lbl_pp = na var label lbl_ll = na var label lbl_s1m = na var label lbl_s1 = na var label lbl_s2m = na var label lbl_s2 = na var label lbl_s3m = na var label lbl_s3 = na // Function to create or update line create_line(line ln, float price, color col) => line.new(bar_index, price, bar_index + extend_bars, price, color=col, width=line_width) // Function to create label create_label(float price, string txt, color col) => label.new(bar_index + extend_bars, price, txt, style=label.style_label_left, color=color.new(col, 90), textcolor=col, size=size.small) // On new aggregation period, delete old lines and create new ones if new_agg_bar // Delete old lines line.delete(line_r3) line.delete(line_r3m) line.delete(line_r2) line.delete(line_r2m) line.delete(line_r1) line.delete(line_r1m) line.delete(line_hh) line.delete(line_pp) line.delete(line_ll) line.delete(line_s1m) line.delete(line_s1) line.delete(line_s2m) line.delete(line_s2) line.delete(line_s3m) line.delete(line_s3) // Delete old labels if show_labels label.delete(lbl_r3) label.delete(lbl_r3m) label.delete(lbl_r2) label.delete(lbl_r2m) label.delete(lbl_r1) label.delete(lbl_r1m) label.delete(lbl_hh) l
Pine Script®指标
由thexfounder提供
DLR - Daily Liquidity Range Framework (v1.3)Daily Level Ranges This strategy targets discounted premiums for buying Call/Put Options in discounted areas based on liquidity levels that form ranges. Opening Range creates the strongest liquidity for the day. Premarket Highs/Lows are strong liquidity points. Previous Day Highs/Lows are reliable liquidity points. PMH/PML and PDH/PDL may alternate positions relative to OR. * Discounted Calls are taken under the OR in Bullish conditions * Discounted Puts are taken above the OR in bearish conditions. - Momentum Calls are taken at the OR in Bullish Conditions - Momentum Puts are taken at the OR in Bearish Conditions
Pine Script®指标
由dlrtrades提供
Elliott Wave: Pro ForecastElliott Wave: Pro Forecast (Dual-Path Prediction) The "Fork in the Road" for Price Action. Most indicators show you where price has been. This indicator predicts where price could go using standard Elliott Wave Fibonacci ratios and volatility analysis. Unlike standard forecasters that force a single path, Pro Forecast acknowledges that the market is probabilistic. It visualizes the two most likely outcomes simultaneously: Continuation: The current trend extends deeper (or higher). Reversal: The trend exhausts and begins a new 5-wave motive structure. How It Works The script identifies the most recent "Live Pivot" (the unconfirmed high or low currently forming) and calculates volatility based on the previous swing. It then projects future price action using two distinct models: The Extension Model: Projects a generic 0.5 volatility continuation. The Wave Model: Projects a standard Elliott Wave 5-step sequence (or ABC correction) using classic Fibonacci ratios (0.382 retracements, 1.618 extensions). Key Features Dual-Path Visualization: See the Bearish breakdown and Bullish bounce scenarios at the same time. "Dip Buy" Mode (Linked Scenarios): A unique feature that links the two paths. Instead of reversing now, it simulates a reversal starting after the extension. This is perfect for planning entries at lower support levels. Smart Target Grid: Draws horizontal dotted lines at key price targets, making it easier to line up predictions with existing Support/Resistance zones. Invalidation Level: Automatically marks the "Hard Stop" level (Start of Wave 1). If price crosses this red line, the bullish/bearish thesis is invalid. Zero-Floor Logic: Smart math ensures projections never predict negative stock prices, even on high-volatility/low-cap assets. Settings Guide Sensitivity: Controls how fast pivots are detected. Daily Chart: Recommend 3-4 for a 1-week outlook. 4H Chart: Recommend 8-12. Show Continuation: Toggles the "Extension" line (Orange). Show Reversal: Toggles the "Next Wave" sequence (Blue). Start Reversal after Extension?: Unchecked: Reversal starts from the current price (Current Bounce). Checked: Reversal starts from the end of the Extension line (Future Bounce). Risk Disclaimer This tool is for educational purposes and visualization only. It projects geometric probabilities based on past volatility, not certainty. Always use proper risk management.
Pine Script®指标
由TheTankTrades提供
1
GOLD TERTIUM estrategiaThis indicator is a visual tool for TradingView designed to help you read trend structure using EMAs and highlight potential long and short entries on the MGC 1‑minute chart, while filtering pullbacks and avoiding trades when the 200 EMA is flat. ​ It calculates five EMAs (32, 50, 110, 200, 250) and plots them in different colors so you can clearly see the moving‑average stack and overall direction. The main trend is defined by the 200 EMA: bullish when price and the fast EMAs (32 and 50) are above it with a positive slope, and bearish when they are below it with a negative slope; if the 200 EMA is almost flat, signals are blocked to reduce trading in choppy markets.
Pine Script®策略
由bkfeuer326提供
Night Mode Session | ZeeZeeMon🇷🇺 Описание (Russian) Night Mode Session Highlight Night Mode Session Highlight — это визуальный индикатор, предназначенный для подсветки заданного временного диапазона на графике. Индикатор позволяет выделять ночную торговую сессию или любой другой временной интервал с помощью фоновой заливки, что упрощает анализ поведения цены в определённые часы. Основные возможности Подсветка выбранного временного диапазона на графике Настройка времени сессии в формате HHMM–HHMM Выбор таймзоны из выпадающего списка (IANA) Настраиваемый цвет и прозрачность фоновой заливки Корректная работа с интервалами, пересекающими полночь Совместимость со всеми таймфреймами и инструментами Параметры Ночной режим (сессия) — временной интервал, который будет подсвечиваться (например, 0000-0800) Таймзона — таймзона, относительно которой рассчитывается сессия Цвет ночной подсветки — цвет и прозрачность фоновой заливки Принцип работы Индикатор проверяет, попадает ли текущий бар в заданную временную сессию с учётом выбранной таймзоны. Если условие выполняется, фон графика окрашивается выбранным цветом. Назначение Индикатор может использоваться для: анализа ночной или азиатской сессии визуального разделения торговых периодов изучения волатильности и ликвидности в разные часы вспомогательной визуальной фильтрации графика Индикатор не генерирует торговых сигналов и не является торговой стратегией. 🇬🇧 Description (English) Night Mode Session Highlight Night Mode Session Highlight is a visual indicator designed to highlight a specific time range on the chart. It allows users to mark the night trading session or any custom time interval using background shading, making it easier to analyze price behavior during selected hours. Key Features Highlights a custom time session on the chart Session time input in HHMM–HHMM format Timezone selection via dropdown list (IANA) Customizable background color and transparency Correct handling of sessions crossing midnight Works on all timeframes and instruments Settings Night Session — time range to be highlighted (e.g. 0000-0800) Timezone — timezone used for session calculation Night Background Color — background shading color and transparency How It Works The indicator checks whether the current bar belongs to the specified session using the selected timezone. If the condition is met, the chart background is filled with the chosen color. Purpose This indicator can be used for: analyzing night or Asian trading sessions visually separating trading periods studying volatility and liquidity at different times additional visual filtering of the chart This indicator does not generate trading signals and is not a trading strategy.
Pine Script®指标
由xxxZeeZeeMoNxxx提供
ATR Channels 1-2-3 + Elder Value Zone V2This indicator combines volatility-based ATR channels with the Elder value zone to provide a structural view of trend and pullbacks. It plots a central moving average and three pairs of ATR channels at 1, 2, and 3 times the Average True Range, giving a clear visualization of price extension relative to current volatility. The channels are linear and non-adaptive, serving strictly as a volatility envelope, not as support or resistance levels. In addition, the indicator plots the Elder fast and slow exponential moving averages (EMA 13 and EMA 26) and highlights the area between them as the Elder value zone. This zone represents the price area where pullbacks occur within an established trend, and where continuation setups are typically evaluated. The indicator does not generate signals or trading rules. It is designed for contextual analysis, helping to assess trend structure, volatility expansion or contraction, and whether price is extended or trading within a normal corrective range.
Pine Script®指标
由danavillanueva提供
Strict EMA Wick Pullback Trend ContinuationThis script is a strict EMA pullback entry model designed exclusively for trend continuation traders. It does NOT attempt to predict tops or bottoms. It waits for established trends and enters only on shallow pullbacks with defined risk. OVERVIEW This strategy is built for disciplined trend continuation trading. It looks for shallow pullbacks into a fast EMA during established uptrends and exits when trend structure breaks. There is no counter-trend logic and no optimization for win rate. ENTRY LOGIC A long entry is triggered when: • Price pulls back into the fast EMA area (wick touch) • The pullback remains above the slow EMA (trend integrity) • The candle closes bullish • Optional: slow EMA is rising (trend filter) RISK MANAGEMENT • A dynamic stop is placed just below the fast EMA • The stop only tightens — it never loosens • Losses are small and predefined • The system is designed to be scaled via position sizing EXIT LOGIC • Positions are closed when the fast EMA crosses below the slow EMA • This represents a breakdown of trend continuation structure WHAT THIS STRATEGY IS • A trend continuation entry module • Risk-first by design • Low win-rate, high payoff profile • Designed for trending markets WHAT THIS STRATEGY IS NOT • Not a reversal system • Not a scalping strategy • Not a signal service • Not optimized for ranging markets • Not a promise of profitability IMPORTANT NOTES • Long-only by design (BTC context) • No repainting logic • Best used with higher-timeframe trend confirmation • This is a tool, not financial advice Recommended markets: BTCUSD / BTCUSDT Timeframe: 1D Trend filter: ON Risk: fixed % per trade (user-defined)
Pine Script®策略
由SystemsOverFeelings提供
1
ATR Channels 1-2-3It is an overlay indicator that builds a system of channels around a moving average using ATR as the distance metric. The script first calculates a central moving average of the closing price, which can be either EMA or SMA depending on the selected parameter. This moving average acts as the axis of the channels and is independent of the ATR calculation. Next, it computes the Average True Range using a separate period. The ATR is used directly as an absolute measure of price volatility, without additional smoothing or normalization. Based on the central moving average and the ATR value, three pairs of bands are generated. The first channel is created by adding and subtracting one ATR from the moving average. The second channel is created by adding and subtracting two times the ATR, and the third channel by adding and subtracting three times the ATR. There is no conditional or adaptive logic involved; the distances are linear and strictly proportional to the current ATR value. All lines are recalculated on every bar close. The script does not include signals, filters, or trading logic. It purely visualizes volatility-adjusted price envelopes around a reference moving average.
Pine Script®指标
由danavillanueva提供