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BarCoreLibrary "BarCore" BarCore is a foundational library for technical analysis, providing essential functions for evaluating the structural properties of candlesticks and inter-bar relationships. It prioritizes ratio-based metrics (0.0 to 1.0) over absolute prices, making it asset-agnostic and ideal for robust pattern recognition, momentum analysis, and volume-weighted pressure evaluation. Key modules: - Structure & Range: High-precision bar and body metrics with relative positioning. - Wick Dynamics: Absolute and relative wick analysis for identifying price rejection. - Inter-bar Logic: Containment, coverage, and quantitative price overlap (Ratio-based). - Gap Intelligence: Real body and price gaps with customizable significance thresholds. - Flow & Pressure: Volume-weighted buying/selling pressure and Money Flow metrics. isBuyingBar()   Checks if the bar is a bullish (up) bar, where close is greater than open.   Returns: bool True if the bar closed higher than it opened. isSellingBar()   Checks if the bar is a bearish (down) bar, where close is less than open.   Returns: bool True if the bar closed lower than it opened. barMidpoint()   Calculates the absolute midpoint of the bar's total range (High + Low) / 2.   Returns: float The midpoint price of the bar. barRange()   Calculates the absolute size of the bar's total range (High to Low).   Returns: float The absolute difference between high and low. barRangeMidpoint()   Calculates half of the bar's total range size.   Returns: float Half the bar's range size. realBodyHigh()   Returns the higher price between the open and close.   Returns: float The top of the real body. realBodyLow()   Returns the lower price between the open and close.   Returns: float The bottom of the real body. realBodyMidpoint()   Calculates the absolute midpoint of the bar's real body.   Returns: float The midpoint price of the real body. realBodyRange()   Calculates the absolute size of the bar's real body.   Returns: float The absolute difference between open and close. realBodyRangeMidpoint()   Calculates half of the bar's real body size.   Returns: float Half the real body size. upperWickRange()   Calculates the absolute size of the upper wick.   Returns: float The range from high to the real body high. lowerWickRange()   Calculates the absolute size of the lower wick.   Returns: float The range from the real body low to low. openRatio()   Returns the location of the open price relative to the bar's total range (0.0 at low to 1.0 at high).   Returns: float The ratio of the distance from low to open, divided by the total range. closeRatio()   Returns the location of the close price relative to the bar's total range (0.0 at low to 1.0 at high).   Returns: float The ratio of the distance from low to close, divided by the total range. realBodyRatio()   Calculates the ratio of the real body size to the total bar range.   Returns: float The real body size divided by the bar range. Returns 0 if barRange is 0. upperWickRatio()   Calculates the ratio of the upper wick size to the total bar range.   Returns: float The upper wick size divided by the bar range. Returns 0 if barRange is 0. lowerWickRatio()   Calculates the ratio of the lower wick size to the total bar range.   Returns: float The lower wick size divided by the bar range. Returns 0 if barRange is 0. upperWickToBodyRatio()   Calculates the ratio of the upper wick size to the real body size.   Returns: float The upper wick size divided by the real body size. Returns 0 if realBodyRange is 0. lowerWickToBodyRatio()   Calculates the ratio of the lower wick size to the real body size.   Returns: float The lower wick size divided by the real body size. Returns 0 if realBodyRange is 0. totalWickRatio()   Calculates the ratio of the total wick range (Upper Wick + Lower Wick) to the total bar range.   Returns: float The total wick range expressed as a ratio of the bar's total range. Returns 0 if barRange is 0. isBodyExpansion()   Checks if the current bar's real body range is larger than the previous bar's real body range (body expansion).   Returns: bool True if realBodyRange() > realBodyRange() . isBodyContraction()   Checks if the current bar's real body range is smaller than the previous bar's real body range (body contraction).   Returns: bool True if realBodyRange() < realBodyRange() . isWithinPrevBar(inclusive)   Checks if the current bar's range is entirely within the previous bar's range.   Parameters:      inclusive (bool) : If true, allows equality (<=, >=). Default is false.   Returns: bool True if High < High AND Low > Low . isCoveringPrevBar(inclusive)   Checks if the current bar's range fully covers the entire previous bar's range.   Parameters:      inclusive (bool) : If true, allows equality (<=, >=). Default is false.   Returns: bool True if High > High AND Low < Low . isWithinPrevBody(inclusive)   Checks if the current bar's real body is entirely inside the previous bar's real body.   Parameters:      inclusive (bool) : If true, allows equality (<=, >=). Default is false.   Returns: bool True if the current body is contained inside the previous body. isCoveringPrevBody(inclusive)   Checks if the current bar's real body fully covers the previous bar's real body.   Parameters:      inclusive (bool) : If true, allows equality (<=, >=). Default is false.   Returns: bool True if the current body fully covers the previous body. isOpenWithinPrevBody(inclusive)   Checks if the current bar's open price falls within the real body range of the previous bar.   Parameters:      inclusive (bool) : If true, includes the boundary prices. Default is false.   Returns: bool True if the open price is between the previous bar's real body high and real body low. isCloseWithinPrevBody(inclusive)   Checks if the current bar's close price falls within the real body range of the previous bar.   Parameters:      inclusive (bool) : If true, includes the boundary prices. Default is false.   Returns: bool True if the close price is between the previous bar's real body high and real body low. isPrevOpenWithinBody(inclusive)   Checks if the previous bar's open price falls within the current bar's real body range.   Parameters:      inclusive (bool) : If true, includes the boundary prices. Default is false.   Returns: bool True if open is between the current bar's real body high and real body low. isPrevCloseWithinBody(inclusive)   Checks if the previous bar's closing price falls within the current bar's real body range.   Parameters:      inclusive (bool) : If true, includes the boundary prices. Default is false.   Returns: bool True if close is between the current bar's real body high and real body low. isOverlappingPrevBar()   Checks if there is any price overlap between the current bar's range and the previous bar's range.   Returns: bool True if the current bar's range has any intersection with the previous bar's range. bodyOverlapRatio()   Calculates the percentage of the current real body that overlaps with the previous real body.   Returns: float The overlap ratio (0.0 to 1.0). 1.0 means the current body is entirely within the previous body's price range. isCompletePriceGapUp()   Checks for a complete price gap up where the current bar's low is strictly above the previous bar's high, meaning there is zero price overlap between the two bars.   Returns: bool True if the current low is greater than the previous high. isCompletePriceGapDown()   Checks for a complete price gap down where the current bar's high is strictly below the previous bar's low, meaning there is zero price overlap between the two bars.   Returns: bool True if the current high is less than the previous low. isRealBodyGapUp()   Checks for a gap between the current and previous real bodies.   Returns: bool True if the current body is completely above the previous body. isRealBodyGapDown()   Checks for a gap between the current and previous real bodies.   Returns: bool True if the current body is completely below the previous body. gapRatio()   Calculates the percentage difference between the current open and the previous close, expressed as a decimal ratio.   Returns: float The gap ratio (positive for gap up, negative for gap down). Returns 0 if the previous close is 0. gapPercentage()   Calculates the percentage difference between the current open and the previous close.   Returns: float The gap percentage (positive for gap up, negative for gap down). Returns 0 if previous close is 0. isGapUp()   Checks for a basic gap up, where the current bar's open is strictly higher than the previous bar's close. This is the minimum condition for a gap up.   Returns: bool True if the current open is greater than the previous close (i.e., gapRatio is positive). isGapDown()   Checks for a basic gap down, where the current bar's open is strictly lower than the previous bar's close. This is the minimum condition for a gap down.   Returns: bool True if the current open is less than the previous close (i.e., gapRatio is negative). isSignificantGapUp(minRatio)   Checks if the current bar opened significantly higher than the previous close, as defined by a minimum percentage ratio.   Parameters:      minRatio (float) : The minimum required gap percentage ratio. Default is 0.03 (3%).   Returns: bool True if the gap ratio (open vs. previous close) is greater than or equal to the minimum ratio. isSignificantGapDown(minRatio)   Checks if the current bar opened significantly lower than the previous close, as defined by a minimum percentage ratio.   Parameters:      minRatio (float) : The minimum required gap percentage ratio. Default is 0.03 (3%).   Returns: bool True if the absolute value of the gap ratio (open vs. previous close) is greater than or equal to the minimum ratio. trueRangeComponentHigh()   Calculates the absolute distance from the current bar's High to the previous bar's Close, representing one of the components of the True Range.   Returns: float The absolute difference: |High - Close |. trueRangeComponentLow()   Calculates the absolute distance from the current bar's Low to the previous bar's Close, representing one of the components of the True Range.   Returns: float The absolute difference: |Low - Close |. isUpperWickDominant(minRatio)   Checks if the upper wick is significantly long relative to the total range.   Parameters:      minRatio (float) : Minimum ratio of the wick to the total bar range. Default is 0.7 (70%).   Returns: bool True if the upper wick dominates the bar's range. isUpperWickNegligible(maxRatio)   Checks if the upper wick is very small relative to the total range.   Parameters:      maxRatio (float) : Maximum ratio of the wick to the total bar range. Default is 0.05 (5%).   Returns: bool True if the upper wick is negligible. isLowerWickDominant(minRatio)   Checks if the lower wick is significantly long relative to the total range.   Parameters:      minRatio (float) : Minimum ratio of the wick to the total bar range. Default is 0.7 (70%).   Returns: bool True if the lower wick dominates the bar's range. isLowerWickNegligible(maxRatio)   Checks if the lower wick is very small relative to the total range.   Parameters:      maxRatio (float) : Maximum ratio of the wick to the total bar range. Default is 0.05 (5%).   Returns: bool True if the lower wick is negligible. isSymmetric(maxTolerance)   Checks if the upper and lower wicks are roughly equal in length.   Parameters:      maxTolerance (float) : Maximum allowable percentage difference between the two wicks. Default is 0.15 (15%).   Returns: bool True if wicks are symmetric within the tolerance level. isMarubozuBody(minRatio)   Candle with a very large body relative to the total range (minimal wicks).   Parameters:      minRatio (float) : Minimum body size ratio. Default is 0.9 (90%).   Returns: bool True if the bar has minimal wicks (Marubozu body). isLargeBody(minRatio)   Candle with a large body relative to the total range.   Parameters:      minRatio (float) : Minimum body size ratio. Default is 0.6 (60%).   Returns: bool True if the bar has a large body. isSmallBody(maxRatio)   Candle with a small body relative to the total range.   Parameters:      maxRatio (float) : Maximum body size ratio. Default is 0.4 (40%).   Returns: bool True if the bar has small body. isDojiBody(maxRatio)   Candle with a very small body relative to the total range (indecision).   Parameters:      maxRatio (float) : Maximum body size ratio. Default is 0.1 (10%).   Returns: bool True if the bar has a very small body. isLowerWickExtended(minRatio)   Checks if the lower wick is significantly extended relative to the real body size.   Parameters:      minRatio (float) : Minimum required ratio of the lower wick length to the real body size. Default is 2.0 (Lower wick must be at least twice the body's size).   Returns: bool True if the lower wick's length is at least `minRatio` times the size of the real body. isUpperWickExtended(minRatio)   Checks if the upper wick is significantly extended relative to the real body size.   Parameters:      minRatio (float) : Minimum required ratio of the upper wick length to the real body size. Default is 2.0 (Upper wick must be at least twice the body's size).   Returns: bool True if the upper wick's length is at least `minRatio` times the size of the real body. isStrongBuyingBar(minCloseRatio, maxOpenRatio)   Checks for a bar with strong bullish momentum (open near low, close near high), indicating high conviction.   Parameters:      minCloseRatio (float) : Minimum required ratio for the close location (relative to range, e.g., 0.7 means close must be in the top 30%). Default is 0.7 (70%).      maxOpenRatio (float) : Maximum allowed ratio for the open location (relative to range, e.g., 0.3 means open must be in the bottom 30%). Default is 0.3 (30%).   Returns: bool True if the bar is bullish, opened in the low extreme, and closed in the high extreme. isStrongSellingBar(maxCloseRatio, minOpenRatio)   Checks for a bar with strong bearish momentum (open near high, close near low), indicating high conviction.   Parameters:      maxCloseRatio (float) : Maximum allowed ratio for the close location (relative to range, e.g., 0.3 means close must be in the bottom 30%). Default is 0.3 (30%).      minOpenRatio (float) : Minimum required ratio for the open location (relative to range, e.g., 0.7 means open must be in the top 30%). Default is 0.7 (70%).   Returns: bool True if the bar is bearish, opened in the high extreme, and closed in the low extreme. isWeakBuyingBar(maxCloseRatio, maxBodyRatio)   Identifies a bar that is technically bullish but shows significant weakness, characterized by a failure to close near the high and a small body size.   Parameters:      maxCloseRatio (float) : Maximum allowed ratio for the close location relative to the range (e.g., 0.6 means the close must be in the bottom 60% of the bar's range). Default is 0.6 (60%).      maxBodyRatio (float) : Maximum allowed ratio for the real body size relative to the bar's range (e.g., 0.4 means the body is small). Default is 0.4 (40%).   Returns: bool True if the bar is bullish, but its close is weak and its body is small. isWeakSellingBar(minCloseRatio, maxBodyRatio)   Identifies a bar that is technically bearish but shows significant weakness, characterized by a failure to close near the low and a small body size.   Parameters:      minCloseRatio (float) : Minimum required ratio for the close location relative to the range (e.g., 0.4 means the close must be in the top 60% of the bar's range). Default is 0.4 (40%).      maxBodyRatio (float) : Maximum allowed ratio for the real body size relative to the bar's range (e.g., 0.4 means the body is small). Default is 0.4 (40%).   Returns: bool True if the bar is bearish, but its close is weak and its body is small. balanceOfPower()   Measures the net pressure of buyers vs. sellers within the bar, normalized to the bar's range.   Returns: float A value between -1.0 (strong selling) and +1.0 (strong buying), representing the strength and direction of the close relative to the open. buyingPressure()   Measures the net buying volume pressure based on the close location and volume.   Returns: float A numerical value representing the volume weighted buying pressure. sellingPressure()   Measures the net selling volume pressure based on the close location and volume.   Returns: float A numerical value representing the volume weighted selling pressure. moneyFlowMultiplier()   Calculates the Money Flow Multiplier (MFM), which is the price component of Money Flow and CMF.   Returns: float A normalized value from -1.0 (strong selling) to +1.0 (strong buying), representing the net directional pressure. moneyFlowVolume()   Calculates the Money Flow Volume (MFV), which is the Money Flow Multiplier weighted by the bar's volume.   Returns: float A numerical value representing the volume-weighted money flow. Positive = buying dominance; negative = selling dominance. isAccumulationBar()   Checks for basic accumulation on the current bar, requiring both positive Money Flow Volume and a buying bar (closing higher than opening).   Returns: bool True if the bar exhibits buying dominance through its internal range location and is a buying bar. isDistributionBar()   Checks for basic distribution on the current bar, requiring both negative Money Flow Volume and a selling bar (closing lower than opening).   Returns: bool True if the bar exhibits selling dominance through its internal range location and is a selling bar.
ספריית Pine Script®
מאת ‎sgbpulse‎
QUARTERS THEORY XAUUSDThe “Quarter Theory XAUUSD” indicator on TradingView is designed to automatically plot horizontal price levels in $25 increments on your chart, providing traders with a clear visual representation of key psychological and technical price points. These levels are particularly useful for instruments like XAU/USD, where price often reacts to round numbers, forming support and resistance zones that can be leveraged for both scalping and swing trading strategies. By showing all $25 increments as horizontal white lines, the indicator ensures that traders can quickly identify potential entry and exit points, without the need for manual drawing or repeated calculations. The indicator works by calculating the nearest $25 multiple relative to the current market price and then drawing horizontal lines across the chart for all increments within a defined range. This range can be customized to suit the instrument being traded; for example, for gold (XAU/USD), a typical range might extend from 0 to 5000, covering all practical price levels that could be relevant in both high and low market conditions. By using Pine Script’s persistent variables, the indicator efficiently creates these lines only once at the start of the chart, avoiding unnecessary resource usage and preventing TradingView from slowing down, which can happen if lines are redrawn every bar. From a trading perspective, these levels serve multiple purposes. For scalpers, the $25 increments act as micro support and resistance points, helping to determine short-term price reactions and potential breakout zones. Scalpers can use these levels to enter positions with tight stop-loss orders just beyond a level and take profits near the next $25 increment, which aligns with common price behavior patterns in highly liquid instruments. For swing traders, the same levels provide broader context, allowing them to identify areas where price might pause or reverse over several days. Swing traders can use these levels to align trades with the prevailing trend, particularly when combined with other indicators such as moving averages or trendlines. Another key advantage of the Quarterly Levels indicator is its simplicity and visual clarity. By plotting lines in a uniform white color and extending them to the right, the chart remains clean and easy to read, allowing traders to focus on price action and market dynamics rather than cluttered technical drawings. This visual consistency also helps in backtesting and strategy development, as traders can quickly see how price interacts with each level over time. Additionally, the use of round-number increments leverages the psychological tendencies of market participants, as many traders place stop orders or entry points near these levels, making them natural zones of interest. Overall, the Quarterly Levels indicator combines efficiency, clarity, and practical trading utility into a single tool. It streamlines chart analysis, highlights meaningful price zones, and supports both scalping and swing trading approaches, making it an essential addition to a trader’s toolkit. By understanding how to integrate these levels into trading strategies, traders can make more informed decisions, manage risk effectively, and identify high-probability trade setups across various market conditions.
אינדיקטור Pine Script®
מאת ‎ElvinLing‎
LEVENT: Lifetime Estimation via Efficiency-Regime EventLEVENT — Lifetime Estimation via Efficiency-Regime Event Transitions LEVENT is a research-grade indicator that estimates the remaining structural lifetime of the current market regime. Unlike trend, volatility, or momentum tools, LEVENT does not measure price movement — it measures how long the current market structure is likely to survive before breaking. This script implements the LEVENT model published on Zenodo (Bülent Duman, 2026) and is built on top of the open-source DERYA (Dynamic Efficiency Regime Yield Analyzer) microstructural efficiency framework. What LEVENT measures LEVENT outputs a single continuous variable L that represents the remaining survival capacity of the active efficiency regime. High L → the current regime has strong structural endurance Falling L → the regime is consuming its capacity L → 0 → regime exhaustion and elevated probability of transition This makes LEVENT a forward-looking structural time variable, not a price indicator. What is inside this script This implementation contains the following components: 1. DERYA (open-source microstructure efficiency) DERYA is computed from OHLC data as: Net close-to-close movement divided by total intrabar range It is smoothed with an EMA and normalized over a rolling window to produce a bounded efficiency state (0–100). This is an open-source indicator and is explicitly credited in the LEVENT paper. 2. Transition Strength (S) S measures how unstable the regime is by combining: the slope of DERYA the acceleration of DERYA This is not RSI, MACD, or ATR — it is a state-transition intensity metric. 3. Regime Engine Markets are classified into four structural regimes: Expansion Exhaustion Collapse Base / Recovery A debounce + persistence filter is used to avoid noise-based flickering. 4. Structural Lifetime (LEVENT L) Each regime is assigned a capacity (Λ) and a fragility (α). LEVENT then evolves as a jump-and-countdown survival process: On regime change → L resets to full capacity Inside a regime → L decays deterministically High instability → faster decay This is not a moving average, oscillator, or probability estimate — it is a structural survival clock. How to use LEVENT LEVENT is designed to be used as a regime-health overlay, not a buy/sell trigger. Typical uses: Detect late-stage trends when L is low Avoid initiating positions when the regime is near collapse Compare structural stability across assets Combine with price, trend, or volume systems Do not use LEVENT alone as a trading signal. LEVENT tells you “how long the structure may last”, not “where price will go.” Visuals Background colors show the current regime The LEVENT line shows remaining structural lifetime A table displays the active regime and current L value Important notes LEVENT is not RSI, MACD, ATR, or trend LEVENT does not predict price direction LEVENT does not issue entry/exit signals LEVENT is a research-grade structural model The DERYA component used here is an open-source microstructural efficiency estimator and is credited accordingly. Risk and disclaimer This script is provided for research and analytical purposes only. It is not financial advice and must not be used as a standalone trading system. Markets are uncertain. All trading decisions and risks remain entirely the responsibility of the user. LEVENT: Lifetime Estimation via Efficiency-regime Event Transitions Introducing a Regime-Dependent Structural Lifetime Estimator for Financial Markets Using OHLC Data Author: DUMAN,Bülent Affiliation: Independent Researcher zenodo.org
אינדיקטור Pine Script®
מאת ‎blntduman‎
Korean Trading Value in 100M KRW (KRX Standard)이 지표는 한국 시장(KOSPI, KOSDAQ) 투자자들을 위해 거래대금을 가장 직관적인 '억 원' 단위로 변환하여 보여줍니다. 주요 특징: 직관적인 수치: 우측 가격축(Y축)에 표시되는 숫자 '1'은 '1억 원'을 의미합니다. (예: 1000 = 1000억) KRX 표준 최적화: 한국거래소 기준에 맞춰 금액을 환산하여 시장 주도주와 자금 유입을 즉각 파악할 수 있습니다. (참고: 본 지표는 KRX 데이터를 기준으로 하며, NXT 거래대금은 포함되지 않습니다.) 깔끔한 UI: 차트 화면을 가리는 라벨을 제거하고 트레이딩뷰 기본 색상 테마를 유지하여 가독성이 뛰어납니다. 실시간 확인: trackprice 기능을 통해 현재 진행 중인 봉의 거래대금을 우측 라벨에서 실시간으로 확인할 수 있습니다. ***** This indicator is designed for the Korean stock market (KRX), converting trading values into the most intuitive unit for local traders: 'Eok' (100 million KRW). Key Features: Intuitive Scaling: The numbers on the Y-axis represent 100 million KRW per unit. (e.g., 1000 = 100 billion KRW) KRX Standard Optimized: Easily identify market leaders and capital flow based on KRX data. (Note: This indicator is based on KRX standards and does not include NXT trading value.) Clean UI: Minimizes on-screen clutter and maintains TradingView's default color theme for maximum readability. Real-time Tracking: The trackprice feature allows you to monitor the current bar's trading value directly on the price scale in real-time.
אינדיקטור Pine Script®
מאת ‎Ninggimhee‎
EMA 9/24/50/100/200 with Labels on chart lines This Pine Script® v6 indicator plots five distinct Exponential Moving Averages (EMAs) onto a single trading chart to help identify trend direction and momentum. By calculating the 9, 24, 50, 100, and 200-period averages, the script allows you to visualize short-term price action alongside long-term support and resistance levels. It uses a color-coded hierarchy and varying line thicknesses to make the different timeframes easy to distinguish at a glance. with labels on the lines
אינדיקטור Pine Script®
מאת ‎magnergycal‎
EMA 9/24/50/100/200 v6This Pine Script® v6 indicator plots five distinct Exponential Moving Averages (EMAs) onto a single trading chart to help identify trend direction and momentum. By calculating the 9, 24, 50, 100, and 200-period averages, the script allows you to visualize short-term price action alongside long-term support and resistance levels. It uses a color-coded hierarchy and varying line thicknesses to make the different timeframes easy to distinguish at a glance.
אינדיקטור Pine Script®
מאת ‎magnergycal‎
Strat Master FTFC v1Setup Ready alert fires on the close of the last “setup” candle (the candle right before the entry trigger candle). Entry alert still fires intrabar when the current candle becomes 2U/2D and takes out the trigger. Below is the fully updated, compiling Pine v5 script with: All your reversal patterns Real FTFC (0–3) + flip alerts Calls/Puts bias + strike Gap-safe takeout (no crossover) NEW: Setup Ready alerts for every pattern (bar-close only)
אינדיקטור Pine Script®
מאת ‎immortal_itachi7‎
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
אינדיקטור Pine Script®
מאת ‎SignalArchitecT_AI‎
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
אינדיקטור Pine Script®
מאת ‎thexfounder‎
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.
אינדיקטור Pine Script®
מאת ‎danavillanueva‎
Wx Gann WindowsWx Gann Windows — Seasonal Time Windows & Forward Markers Wx Gann Windows highlights the handful of Gann-style seasonal dates that matter most, without cluttering your chart. It draws subtle “time windows” around key dates each year and optionally projects the next 12 months of dates into the future so you can keep them in mind when planning trades or options spreads. What it shows 1. Seasonal Windows (background bands) • Equinox / Solstice windows (Spring, Summer, Autumn, Winter). • Optional midpoint (cross-quarter) windows: early Feb / May / Aug / Nov. • Each window is a small number of days (default 3) centered on the approximate calendar date, with a soft background band so price action remains in focus. 2. On-Chart Labels (optional) • Small labels like “Spring Eq.”, “Winter Sol.”, “Feb Mid” printed just above the current chart’s price range. • One label per window, on the first bar of the window. 3. Future Projections (next 12 months) • For each key date, the script projects the next occurrence into the future. • Draws a vertical dotted line from near the chart low to above the chart high, plus a label such as “Spring Eq. (next)” or “Aug Mid (next)”. • This gives you a 12-month “time roadmap” for cycles-sensitive planning (e.g., options, swing trades) without manual date marking. Inputs Window Settings • Equinox / Solstice Window (days) – size of the seasonal bands (default 3 days). • Midpoint Window (days) – size of the mid-Feb / May / Aug / Nov bands. Visibility • Show Equinox & Solstice Windows – toggle main seasonal bands on/off. • Show Midpoint Windows (Feb/May/Aug/Nov) – toggle cross-quarter bands. • Show Labels (on windows) – show/hide the on-chart labels above price. Future Projections • Project Next 12 Months (future markers) – toggle the forward vertical lines + “(next)” labels. How to use it • Treat these dates as awareness windows, not prediction signals. • Use them to: • Be extra alert for potential turns, accelerations, or exhaustion. • Tighten risk or avoid opening new positions right into a window if your system suggests caution. • Plan options expiries or swing entries with time structure in mind. Always confirm decisions with your own system (trend, structure, volume, breadth, macro), not the dates alone. Notes & Disclaimer • Dates are approximate calendar anchors inspired by Gann’s seasonal and cross-quarter work, using simple ±N-day windows. • Works on any symbol and timeframe; windows are based on calendar dates, not bar count. • This tool is educational and informational only. It does not place orders and is not financial advice. Always test and integrate with your own strategy and risk management.
אינדיקטור Pine Script®
מאת ‎WesPX‎
ATR RangeATR Range is a minimal, clean volatility context indicator designed to show how much of the Daily and Weekly ATR has already been used — without cluttering your chart. Instead of plotting multiple lines or tables, this indicator displays two simple, highly-informative lines: • Day Range (X) is Y% of ATR (Z) • Week Range (X) is Y% of ATR (Z) These lines update intraday and give you immediate awareness of whether price has already made an average move or still has room to expand. ⸻ 🔍 What It Shows • Daily range vs Daily ATR • Weekly range vs Weekly ATR • Percentage of ATR already consumed ⸻ 🎯 Why This Is Useful • Helps avoid chasing extended moves • Adds volatility context to entries and exits • Ideal for futures, options, and index trading
אינדיקטור Pine Script®
מאת ‎Jamel-Rashad‎