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指標和策略

2-Year Simple Moving Average (SMA)2-Year Simple Moving Average (SMA) This indicator plots a 2-year Simple Moving Average (SMA) of price, designed to highlight long-term market trends and major support or resistance zones. The 2-year SMA automatically adapts to the chart’s timeframe: Daily charts: Uses either trading days (≈252 per year) or calendar days (365 per year) Weekly charts: Uses 52 weeks per year Monthly charts: Uses 12 months per year Intraday charts: Estimates bars per year based on the selected timeframe An optional secondary smoothing moving average can be applied to the 2-year SMA itself, with multiple smoothing types available: SMA EMA SMMA (RMA) WMA VWMA SMA with optional Bollinger Bands When “SMA + Bollinger Bands” is enabled, volatility bands are calculated using the standard deviation of the 2-year SMA, helping visualize trend stability and expansion. This indicator is best suited for: Identifying long-term trend direction Locating macro support and resistance Filtering short-term market noise Assessing price position relative to long-term fair value Ideal for investors and swing traders seeking a high-timeframe trend reference rather than short-term trade signals. By JezzaBTC
Pine Script®指標
由JezzaBTC提供
Trailing offsetThis indicator draws a horizontal line a fixed distance (ticks) from the latest highest high or lowest low, and then tracks price as it rises higher or drops lower. This is useful, for example, to help track trailing stop levels when manually adjusting trailing stops. To reduce clutter and minimise confusion you could have two instances of the indicator on your chart at the same time, one configured to only show the trailing level for long trades, and the other for short trades. Then you would show / hide each indicator depending on which direction you enter a trade.
Pine Script®指標
由igor_sinkovec提供
Key LevelsKey Levels – PDH, PDL, PWH, PWL, and Open Lines This script plots key market levels directly on the chart to help traders quickly identify important zones of interest. Features: 🔴 Previous Day High (PDH) and 🟢 Previous Day Low (PDL) 🔴 Previous Week High (PWH) and 🟢 Previous Week Low (PWL) 🔵 Daily Open, 🟠 Weekly Open, and 🟣 Monthly Open levels 🎛️ Customizable colors and visibility toggles for each level 📏 Adjustable line length (number of bars into the future)
Pine Script®指標
由erikbichert提供
MarcoVieira - Bollinger Band sobre RSI (Long & Short + Alerts) Strategy Summary This Pine Script strategy combines RSI (Relative Strength Index) with Bollinger Bands applied directly on the RSI values. Instead of using Bollinger Bands on price, it uses them on RSI to detect stronger overbought/oversold signals. ⚙️ How It Works 1. RSI Calculation • RSI is computed from price changes (default length 14). • It measures momentum and oscillates between 0–100. 2. Bollinger Bands on RSI • A moving average of RSI (basis). • Upper and lower bands are created using standard deviation. • These bands show when RSI is unusually high or low compared to its average. 3. Entry & Exit Conditions • Long Entry (LE): RSI drops below the lower band and is very low (<40). • Long Exit (LX): RSI rises back above the basis or goes above 65. • Short Entry (SE): RSI rises above the upper band and is very high (>60). • Short Exit (SX): RSI falls back below the basis or goes under 35. 4. Risk Management • Dynamic take profit and stop loss levels are calculated as percentages of the entry price. • This ensures trades are automatically managed. 5. Visual Signals • Colored markers show entries/exits directly on the RSI chart: • Green (dark) → Long Entry • Red (dark) → Long Exit • Red (light) → Short Entry • Green (light) → Short Exit • Blue/orange markers highlight RSI and BB Basis extremes. 6. Alerts • Alerts trigger for entries, exits, and extreme RSI/BB Basis values. • This allows automated monitoring without watching the chart constantly. 7. Extras • Optional plots show cumulative profit/loss (PnL) and current position size. In Short This is a Bollinger Band on RSI trading system. It: • Spots overbought/oversold conditions more dynamically than plain RSI. • Provides clear entry/exit signals with color-coded markers. • Automates risk management with TP/SL. • Sends alerts so you can act quickly or automate trades. • Helps visualize both momentum and trade performance in one chart.
Pine Script®策略
由marco1981提供
Daily Floor PivotsDaily Floor Pivots with Comprehensive Statistical Analysis Overview This indicator combines traditional floor pivot levels with golden zone analysis and comprehensive statistical insights derived from 15 years of historical NQ futures data. While the pivot levels and golden zones can be applied to any instrument, the statistical tables are specifically calibrated for NQ/MNQ futures based on analysis of 2,482 NY Regular Trading Hours (RTH) sessions from 2010-2025. What Makes This Indicator Original Unlike standard pivot indicators that merely plot levels, this tool provides: Enhanced Golden Zone Analysis: Calculates not only the main golden zone (0.5-0.618 retracement of previous day's range) but also golden zones between each pivot pair (PP-R1, R1-R2, R2-R3, PP-S1, S1-S2, S2-S3) Data-Driven Statistical Tables: Two comprehensive tables displaying real statistics from 2,482 trading days of NQ analysis, including: Probability-based touch rates and continuation patterns Context-aware statistics based on opening position Gap analysis and behavioral patterns First touch dynamics and time-to-reach averages Granular Customization: Every visual element and statistical section can be independently toggled, allowing traders to focus on what matters most to their strategy How It Works Pivot Calculation Methodology The indicator uses the standard floor pivot formula based on the previous day's price action: Pivot Point (PP) = (Previous High + Previous Low + Previous Close) / 3 Resistance Levels: R1, R2, R3 calculated from PP and previous range Support Levels: S1, S2, S3 calculated from PP and previous range Golden Zone Calculations Main Golden Zone: The 0.5 to 0.618 Fibonacci retracement of the previous day's range, representing a key reversal and continuation area. Inter-Pivot Golden Zones: For each adjacent pivot pair, golden zones are calculated as: Resistance pairs (PP→R1, R1→R2, R2→R3): 0.5-0.618 range from the lower pivot Support pairs (PP→S1, S1→S2, S2→S3): 0.382-0.5 range from the upper pivot These zones represent high-probability areas where price tends to react when moving between pivot levels. Statistical Analysis Source All statistics displayed in the tables are derived from external Python analysis of 15 years of 1-minute NQ futures data (2010-2025), specifically analyzing NY RTH sessions (9:30 AM - 4:00 PM EST). The analysis tracked: 2,482 complete trading days Intraday pivot touches and closes Opening position context Gap behavior relative to previous day Time-of-day patterns Sequential pivot interactions IMPORTANT: While the pivot levels and golden zones are universally applicable mathematical calculations that work on any instrument, the statistical percentages shown in the tables are specific to NQ/MNQ behavior only. Do not assume these statistics transfer to other instruments. Configuration Guide Basic Settings Number of Periods Back (1-20, default: 3) Controls how many historical pivot periods are displayed on the chart Setting to 1 shows only current day's pivots Higher values show more historical context Labels Position (Left/Right) Choose whether pivot labels appear on the left or right side of each level line Line Width (1-5, default: 2) Adjust the thickness of all pivot and golden zone lines Golden Zone Customization Show Daily Golden Zone (0.5-0.618) Toggle the main golden zone on/off When enabled, displays a shaded box between the 0.5 and 0.618 retracement levels Line Color / Fill Color Customize the appearance of the main golden zone Fill color determines the shaded box transparency Show Labels / Show Prices Control whether "0.5" and "0.618" labels appear Control whether price values are displayed on labels Inter-Pivot Golden Zones Six toggle options allow you to show/hide individual golden zones: PP to R1 / PP to S1: Most frequently touched (60.8% / 50.9%) R1 to R2 / S1 to S2: Moderately touched (25.2% / 24.0%) R2 to R3 / S2 to S3: Rarely touched (9.4% / 10.5%) Line Color / Fill Color: Customize appearance of all inter-pivot zones Show Labels / Show Prices: Control labeling for inter-pivot zones Usage Tip: Disable outer zones (R2-R3, S2-S3) on lower volatility days to reduce chart clutter. Pivot Display Show Support/Resistance Levels: Master toggle for all pivot lines Show SR Labels / Show SR Prices: Control labeling on pivot levels Individual level toggles and colors: PP (Pivot Point): The central reference point R1/S1: Primary resistance/support (38.9% / 35.4% touch rate) R2/S2: Secondary levels (15.6% / 16.1% touch rate) R3/S3: Extended levels (5.1% / 7.3% touch rate) Color Customization: Each level's color can be independently set Overall Statistics Table Show Overall Statistics Table: Master toggle Table Size: tiny/small/normal/large/huge/auto Table Position: Top Left/Top Right/Bottom Left/Bottom Right Section Toggles (enable/disable individual sections): Current Session Info Touch & Close Rates Continue & Reject Rates First Touch Statistics Golden Zone Statistics Daily Close Distribution Highest/Lowest Levels Reached Context Statistics Table Show Context Statistics Table: Master toggle Table Size: tiny/small/normal/large/huge/auto Table Position: Top Left/Top Right/Bottom Left/Bottom Right Section Toggles: Current Opening Zone Opening Zone Statistics Previous Day Gap Context Understanding the Statistical Tables TABLE 1: OVERALL STATISTICS This table presents universal statistics from 2,482 days of NQ analysis. Current Session Info Displays real-time context for the active session: Open: Where the current RTH session opened relative to pivots (e.g., "GZ_TO_R1" means opened between the PP-R1 golden zone and R1) Now: Current price position relative to pivots Direction: Bull (close > open), Bear (close < open), or Flat How to use: This section helps you quickly understand where price opened and where it currently is, providing immediate context for the day's action. Touch & Close Rates Shows probability that each pivot level will be reached during RTH: Touch %: Percentage of days where price touched this level at any point Example: R1 touched 38.9% of days, PP touched 57.5% of days Close %: Percentage of days where price closed beyond this level Example: R1 close beyond happened 39.8% of days How to interpret: Higher touch rates indicate more reliable levels for intraday targeting The difference between touch and close rates shows rejection frequency PP has the highest touch rate (57.5%), making it the most magnetic level Outer levels (R3/S3) have low touch rates (5.1%/7.3%), indicating rare extension days Continue & Reject Rates When a level is touched, these statistics show what happens next: Continue %: Probability price continues through the level Example: When PP is touched, price continues 88.1% of the time Reject %: Probability price rejects from the level and reverses Example: When R1 is touched, price rejects 50.9% of the time How to interpret: PP shows highest continuation (88.1%), confirming it's a poor reversal level Support levels (S1/S2/S3) show strong rejection rates (62.5%/60.7%/56.1%), making them better reversal candidates Continuation rates above 80% suggest the level is better as a target than an entry First Touch Statistics Analyzes which pivot is typically touched first during RTH: 1st Touch %: Probability this level is the first pivot encountered PP is first touched 37.1% of days (most common) R1 is first touched 26.0% of days S1 is first touched 10.9% of days 1st→Continue: If this level is touched first, probability of continuation S1-S3 show 95.6%-100% continuation when touched first This means when price reaches support first, it usually continues lower Avg Time: Minutes after 9:30 AM EST before first touch PP: 1h 6m average S3: 19m average (when bearish) R3: 3h 19m average (when bullish) How to interpret: Opening away from PP means higher probability of reaching extremes (R2/R3 or S2/S3) When support is touched first (within first 2 hours), expect continuation lower Late-day first touches (after 2 PM) often indicate strong trending days Multi-Touch: Shows how often levels are tested multiple times (92.8%-95.0% across all levels) Golden Zone Statistics Main GZ: 58.5% touch rate for the 0.5-0.618 zone Inter-Pivot zones: PP-R1: 60.8% (highest probability) PP-S1: 50.9% R1-R2: 25.2% S1-S2: 24.0% R2-R3: 9.4% S2-S3: 10.5% How to interpret: Main GZ is touched more often than any individual resistance level PP-R1 and PP-S1 golden zones are high-probability mean reversion areas Outer golden zones (R2-R3, S2-S3) are only relevant on high volatility days Daily Close Distribution Shows where RTH sessions typically close: Above/Below PP: 58.5% close above, 41.5% below (slight bullish bias) Above R1: 24.5% of days Below S1: 18.7% of days In GZ: Only 6.3% close in the golden zone (typically transits through it) How to interpret: Most days (58.5%) have bullish bias (close above PP) Less than 25% of days are strong trending days (beyond R1/S1) Golden zone is an action area, not a resting area Highest/Lowest Levels Reached Distribution of the most extreme level reached: High Resist: R1 (26.0%), R2 (10.8%), R3 (5.1%) Low Support: S1 (35.4%), S2 (1.9%), S3 (0.6%) How to interpret: Most days don't reach beyond R1 or S1 R3/S3 are rare events (5.1%/0.6%), indicating major trending days S1 is reached as lowest level more often than R1 as highest, suggesting downside is more frequently tested TABLE 2: CONTEXT STATISTICS This table provides conditional statistics based on how the session opened. Current Opening Zone Displays which of 13 possible zones the RTH session opened in: ABOVE_R3, R2_TO_R3, R1_TO_R2, GZ_TO_R1, IN_GZ, PP_TO_GZ, AT_PP, GZ_TO_PP, S1_TO_GZ, S2_TO_S1, S3_TO_S2, BELOW_S3 How to use: This immediately tells you the market structure and what type of day to expect. Opening Zone Statistics Detailed statistics for the current opening zone (only shows for 6 major zones): For each zone, you see: Occurs: How often this opening scenario happens GZ_TO_R1: 38.4% (most common) AT_PP: 12.8% S1_TO_GZ: 24.2% R1_TO_R2: 9.4% S2_TO_S1: 6.3% IN_GZ: 3.8% Bull/Bear %: Close direction probability Example: GZ_TO_R1 is perfectly balanced (50.0% bull / 49.6% bear) R1_TO_R2 is bullish (58.1% bull / 41.0% bear) Levels Hit: Probability of reaching each pivot level from this opening Helps identify high-probability targets Example: From GZ_TO_R1, PP is hit 52.9%, R1 is hit 49.0%, S1 is hit 21.6% How to interpret: GZ_TO_R1 (most common): Balanced day, watch PP and GZ for direction clues AT_PP: Slight bullish bias (56.9%), high chance of touching both PP (92.8%) and GZ (90.3%) R1_TO_R2: Bullish bias (58.1%), expect continuation to R2 (58.1% chance) S2_TO_S1: Bullish reversal setup (59.9%), very high chance of S1 touch (82.8%) IN_GZ: Rare opening (3.8%), bullish bias, virtually guaranteed GZ touch (100%) Previous Day Gap Context Shows current gap scenario and typical behavior: Three scenarios: GAP UP: Opened Above Yesterday's High (20.5% of days) R1 Touch: 65.9% (high probability) R2 Touch: 42.1% S1 Touch: 15.0% (low probability) Bias: Bullish continuation GAP DOWN: Opened Below Yesterday's Low (11.3% of days) S1 Touch: 71.5% (high probability) S2 Touch: 55.2% R1 Touch: 12.1% (low probability) Bias: Bearish continuation NO GAP: Opened Within Yesterday's Range (68.2% of days) PP Touch: 69.5% GZ Touch: 71.7% R1 Touch: 35.2% Bias: Balanced (watch for direction at PP/GZ) How to interpret: Gap days (up or down) tend to continue in the gap direction When gapping, fade trades are low probability (15.0% and 12.1%) Most days (68.2%) open within previous range, making PP and GZ critical decision zones The "bias" line provides clear directional guidance for trade selection Practical Application Examples Example 1: Standard Day Setup Scenario: RTH opens at 20,450 PP: 20,400 GZ: 20,390-20,395 R1: 20,425 Previous day high: 20,460 What the tables tell you: Opening Zone: "GZ_TO_R1" (38.4% occurrence) Gap Context: "NO GAP" (68.2% occurrence) Expected behavior: Balanced (50/50 bull/bear) High probability: PP touch (52.9%), GZ touch (56.8%) Moderate probability: R1 touch (49.0%), S1 touch (21.6%) Trade plan: Wait for price to reach PP (52.9% chance) or GZ (56.8% chance) Look for directional confirmation at these levels First target R1 if bullish, S1 if bearish Avoid assuming direction without confirmation (perfectly balanced opening) Example 2: Gap Up Day Scenario: RTH opens at 20,510 Previous day high: 20,460 R1: 20,425 R2: 20,475 What the tables tell you: Gap Context: "GAP UP" (20.5% occurrence) R1 touch: 65.9% probability R2 touch: 42.1% probability S1 touch: Only 15.0% probability Bias: Bullish continuation Trade plan: Favor long setups Target R1 first (65.9% chance), then R2 (42.1%) If R1 breaks, R2 becomes likely target Shorting is low probability (only 15.0% reach S1) Example 3: Opening in Golden Zone Scenario: RTH opens at 20,393 PP: 20,400 GZ: 20,390-20,395 What the tables tell you: Opening Zone: "IN_GZ" (rare, only 3.8% occurrence) Bullish bias: 58.1% GZ touch: 100% (guaranteed - already there) PP touch: 75.3% R1 touch: 41.9% Trade plan: Expect price to test PP (75.3% chance) Slight bullish bias suggests long setups better than shorts Watch how price reacts at PP - likely to continue to R1 (41.9%) This is an uncommon opening, suggesting potential for larger moves Best Practices Match Your Instrument: Remember, statistics are NQ-specific. If trading other instruments, use the levels but disregard the statistical percentages. Combine with Price Action: Use the statistics for probability context, not as standalone signals. Always confirm with price action, volume, and your trading methodology. Adapt Table Display: Don't display all sections all the time. Toggle based on your trading phase: Pre-market: Focus on "Gap Context" to understand the setup Market open: Watch "Opening Zone Statistics" for directional bias Intraday: Monitor "Current Session Info" for position tracking Understand Context: A 60% touch rate doesn't mean guaranteed—it means 40% of days don't touch. Use these probabilities to size positions and manage expectations. Inter-Pivot Golden Zones: These are most useful when price is already in motion toward a level. For example, if price breaks above PP heading to R1, the PP-R1 golden zone (60.8% touch rate) becomes a high-probability pullback area. Time Awareness: The "Avg Time" statistics help you understand urgency. If it's 10:30 AM and S1 hasn't been touched (average is 55 minutes), the window for bearish moves is closing. Technical Notes Time Zone: All times referenced are NY/EST Session Definition: RTH is 9:30 AM - 4:00 PM EST Calculation Period: Pivots update daily based on previous 24-hour period (18:00 previous day to 17:00 current day) Data Source: Statistics derived from 12 years of NQ 1-minute futures data (2013-2025) Sample Size: 2,482 complete RTH trading sessions Disclaimer This indicator provides statistical probabilities based on historical NQ futures data. Past performance does not guarantee future results. The statistical tables are educational tools and should not be the sole basis for trading decisions. Always: Use proper risk management Combine with your own analysis Understand that probabilities are not certainties Remember that statistics are instrument-specific (NQ/MNQ only) Credits Statistical analysis performed using Python analysis of 12 years of historical NQ futures data. All pivot and golden zone calculations use standard mathematical formulas applicable to any instrument.
Pine Script®指標
由lucymatos提供
Long Only - Double EMA + SessionOverview This is a high-probability Long-Only trend-following strategy designed primarily for the 65-minute and 4-hour timeframes. It utilizes a dual-layered filter system to align trades with both macro and mid-term market momentum, ensuring entries only occur during healthy uptrends. The strategy is optimized for volatile, high-growth assets like TSLA and MSFT. How It Works The strategy relies on three primary pillars of technical analysis to confirm an "A+" setup: Macro Trend Filter (200 EMA): We only look for long opportunities when the price is above the 200-period Exponential Moving Average. This keeps the strategy on the right side of the long-term trend and avoids "buying the dip" during major bear markets. Momentum Filter (50 EMA): The 50 EMA acts as a local trend filter. By requiring price to be above both EMAs, we ensure the medium-term momentum is also bullish. The Trigger (Stochastic RSI): We enter when the Stochastic RSI K-line crosses above the 20 level (Oversold). This identifies local "oversold" pullbacks within a larger uptrend. Risk Management & Exit Plan This strategy is built with professional-grade capital preservation in mind: Trailing Stop-Loss: A 5% trailing stop follows the price as it moves in our favor. This protects unrealized profits and helps mitigate the drawdown during sudden reversals. Dynamic Profit Target: The strategy exits automatically if the Stochastic RSI K-line reaches the 97 level, capturing gains at the peak of momentum. Session Filter: To avoid the "noise" of pre-market and low-volume afternoon trading, the strategy is restricted to the Market Open (9:30 AM EST) window where institutional volume is highest. Backtesting Notes Realistic Simulation: This strategy includes a 0.05% commission and 2 ticks of slippage to reflect real-world execution costs. Recommended Assets: Optimized for Nasdaq-100 components and high-volume growth stocks. Timeframe: Best performance found on 65m or 4h intervals.
Pine Script®策略
由suddenSeahorse88500提供
BUY Sell Signal (Kewme)//@version=6 indicator("EMA Cross RR Box (1:4 TP Green / SL Red)", overlay=true, max_lines_count=500, max_boxes_count=500) // ===== INPUTS ===== emaFastLen = input.int(9, "Fast EMA") emaSlowLen = input.int(15, "Slow EMA") atrLen = input.int(14, "ATR Length") slMult = input.float(1.0, "SL ATR Multiplier") rr = input.float(4.0, "Risk Reward (1:4)") // 🔥 1:4 RR // ===== EMA ===== emaFast = ta.ema(close, emaFastLen) emaSlow = ta.ema(close, emaSlowLen) plot(emaFast, color=color.green, title="EMA Fast") plot(emaSlow, color=color.red, title="EMA Slow") // ===== ATR ===== atr = ta.atr(atrLen) // ===== EMA CROSS ===== buySignal = ta.crossover(emaFast, emaSlow) sellSignal = ta.crossunder(emaFast, emaSlow) // ===== VARIABLES ===== var box tpBox = na var box slBox = na var line tpLine = na var line slLine = na // ===== BUY ===== if buySignal if not na(tpBox) box.delete(tpBox) if not na(slBox) box.delete(slBox) if not na(tpLine) line.delete(tpLine) if not na(slLine) line.delete(slLine) entry = close sl = entry - atr * slMult tp = entry + atr * slMult * rr // ✅ 1:4 TP // TP ZONE (GREEN) tpBox := box.new( left=bar_index, top=tp, right=bar_index + 20, bottom=entry, bgcolor=color.new(color.green, 80), border_color=color.green ) // SL ZONE (RED) slBox := box.new( left=bar_index, top=entry, right=bar_index + 20, bottom=sl, bgcolor=color.new(color.red, 80), border_color=color.red ) tpLine := line.new(bar_index, tp, bar_index + 20, tp, color=color.green, width=2) slLine := line.new(bar_index, sl, bar_index + 20, sl, color=color.red, width=2) label.new(bar_index, low, "BUY", style=label.style_label_up, color=color.green, textcolor=color.white) // ===== SELL ===== if sellSignal if not na(tpBox) box.delete(tpBox) if not na(slBox) box.delete(slBox) if not na(tpLine) line.delete(tpLine) if not na(slLine) line.delete(slLine) entry = close sl = entry + atr * slMult tp = entry - atr * slMult * rr // ✅ 1:4 TP // TP ZONE (GREEN) tpBox := box.new( left=bar_index, top=entry, right=bar_index + 20, bottom=tp, bgcolor=color.new(color.green, 80), border_color=color.green ) // SL ZONE (RED) slBox := box.new( left=bar_index, top=sl, right=bar_index + 20, bottom=entry, bgcolor=color.new(color.red, 80), border_color=color.red ) tpLine := line.new(bar_index, tp, bar_index + 20, tp, color=color.green, width=2) slLine := line.new(bar_index, sl, bar_index + 20, sl, color=color.red, width=2) label.new(bar_index, high, "SELL", style=label.style_label_down, color=color.red, textcolor=color.white)
Pine Script®指標
由arup19901提供
HSQC Hybrid SQ [RubiXalgo]HSQC 👑 Hybrid SQ – The Rubik’s Cube of Price Action Imagine a Rubik’s Cube spinning inside another Rubik’s Cube. The **outer cube** represents classic **Supply & Demand**. The **inner cube** captures live **Trend & Momentum**. When the colors align — the market moves decisively. This advanced hybrid indicator fuses dynamic **Kalman filtering** with sophisticated price action analysis, volume dynamics, and institutional-level insights. It paints every candle, average, cloud, and zone in real-time using a precise color language: - 🟢 **Vivid Green** → Strong bullish momentum (potential long) - 🔴 **Deep Red** → Strong bearish pressure (potential short) - 🟡 **Bright Yellow** → Explosive volatility / reversal alert - 🟣 **Purple / 🔵 Blue** → Institutional accumulation or distribution **Key Features** - Multi-layer Kalman-smoothed moving averages (13, 20, 50, 200, 800 periods) with adaptive color shifts based on trend strength - Selectable Dynamic Kalman Models (including volume- and volatility-adjusted) - Quantum Volatility Cloud for adaptive support/resistance - Vector Zones highlighting high-probability reaction areas - InterBank-style Support & Resistance levels - Breakout candle detection and vector-based trailing stops - Customizable bar coloring driven by volume, momentum, and quantum metrics - Highly configurable display options for clean charting Built for traders seeking an edge in decoding multi-dimensional market structure. © Jesse_Geluk | RubiXalgo 2026 For educational purposes only — not financial advice. Trade responsibly.
Pine Script®指標
由Jesse_Geluk提供
BT AstroBT Astro Indicator — Quick Summary BT Astro is a market context overlay that plots major astronomical timing cycles (planetary conjunctions + key time harmonics) directly on your chart to help you identify when markets are more likely to transition, accelerate, or stall . This is not a buy/sell signal tool —it’s a timing + regime awareness layer designed to complement price/volume structure. Key Features & Visuals • Major Cycle Markers: clean vertical markers for high-impact events (ex: major conjunctions, eclipses) • Toggle Controls: enable/disable event groups (ex: “Major Conjunctions”) to keep charts uncluttered • Minimal Overlay: stays in the background—no forecasting lines, just time-based context • Designed for Confluence: built to pair with regime/volatility/flow tools (not replace them) How Traders Use It (Context, Not Entries) • Timing Awareness: highlight windows where breakouts may follow through or fail more often • Risk Adjustment: reduce size / tighten risk / stand down near major cycle windows; press only with confluence • Regime Confirmation: use astro timing as a secondary “permission” layer when structure + flow already agree • Discipline Filter: helps avoid forcing trades when time is misaligned, even if setups look good Bottom Line BT Astro does not predict direction. It adds a time-based caution/permission layer so you can trade your existing models with better context and cleaner decision-making.
Pine Script®指標
由bangtrades提供