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MA Strength Indicator EnhancedThe "MA Strength" is an indicator that measures market trend strength or (in the case of forex pairs) the relative strength of individual currencies based on up to five different moving averages (MA). It offers multiple calculation methods, such as simple summation, normalized value, or measuring ATR/percentage distance from the price. The results are summarized in a clear table, and it provides customizable alerts for trend changes or shifts in currency strength. The high level of configurability (e.g., MA weighting, "all MA alignment" requirement) allows for fine-tuning the strategy. 💬 Interpreting the Table (Top Rows) The top row of the table shows the final output of the indicator. This changes according to the set "Table Mode". Trend Mode: The top row shows the final, aggregated trend status (e.g., "BULLISH", "NEUTRAL") and the corresponding "Trend Value". This is the value the indicator compares to its thresholds. Forex Mode: (Only on 6-character pairs): The top two rows show the strength of the Base currency and the Quote currency separately. Calculation of the top rows: The indicator calculates the individual score of all active MAs (according to the chosen method). Trend Value: This is the final value calculated from the scores. If "Enable Averaging" is ON, this will be the average of the scores (e.g., MA1 score is 5.0, MA2 score is 7.0 -> Trend Value is 6.0). If averaging is OFF, this will be the sum of the scores (e.g., 5.0 + 7.0 = 12.0). Forex Calculation: "Forex Mode" uses this "Trend Value". If the Trend Value is +6.0 (on an EURUSD pair): The Base currency (EUR) value will be +6.0. The Quote currency (USD) value will be -6.0. The indicator compares these values to the thresholds to determine the "STRONG" status for EUR and "WEAK" status for USD. 📊 Calculation Methods The indicator can calculate trend strength using 5 methods. The final "Trend Value" is derived from the results of these calculations. Sum: Description: Simply adds up the individual scores of all enabled moving averages (MA). Formula: If the price is above an MA, it gets the "Score Above" value (e.g., +2.0); if below, it gets the "Score Below" value (e.g., -2.0). Example: Result = (MA1 score) + (MA2 score) + ... Normalized: Description: Takes the sum obtained by the "Sum" method and converts it to a scale between -100% (maximally bearish) and +100% (maximally bullish). It takes into account the maximum possible positive and negative scores. Formula: Result = (Total Score / Max Possible Score) * 100 Percentage Distance: Description: This method also considers distance. The further the price is from the MA in percentage terms, the higher the score. Formula: MA Score = (|Close Price - MA| / MA * 100) * Weight (The "Weight" is the "Score Above/Below" value set in settings). ATR Distance: Description: Similar to percentage distance, but normalizes the distance using volatility via ATR (Average True Range). Formula: MA Score = (|Close Price - MA| / ATR) * Weight Candle Count: Description: Counts how many consecutive candles have been above or below the MA. It multiplies this number by the set weight. Formula: MA Score = (Number of consecutive candles) * Weight ⚙️ Settings Options Moving Averages (MA 1-5) For each moving average, you can set: Enable MA: Turn the specific MA on or off. Type: The type of moving average (SMA, EMA, WMA, etc.). Period: The period of the MA (e.g., 50, 200). Score Above / Below: The most important setting. This defines the "weight" of the MA in the calculation. In "Sum" mode, this is a fixed score; in distance-based modes, this is a multiplier (weight). It is advisable to write a positive number for "Score Above" and a negative number for "Score Below". Calculation Settings Enable Averaging: If this is on, the indicator shows the average of the active MA scores, not the total score. Exception: This function is not available in "Normalized" mode. Require All MA Alignment: This is a strict filter. If enabled, the indicator only gives a "BULLISH" (or "STRONG") signal if the price is above all enabled moving averages. Similarly, a "BEARISH" signal only occurs if the price is below all moving averages. If the price is on the opposite side of even just one MA (e.g., above 4, below 1), the status becomes "NEUTRAL", regardless of the scores. Strength / Trend Thresholds Enable Extra Levels: If active, statuses are expanded: "EXT. BULLISH" / "EXT. BEARISH" (Trend mode) or "EXT. STRONG" / "EXT. WEAK" (Forex mode). This indicates stronger, overbought/oversold conditions. Threshold setting: The thresholds (e.g., "Strong Above - ATR") determine when the calculated value counts as a "STRONG" or "WEAK" status. 🔢 Setting Thresholds via Calculation If "Enable Averaging" is OFF, the "Trend Value" shown in the table will be the sum of the individual MA scores. Therefore, we must define the threshold by adding up the minimum expected performance from each moving average. This allows us to set different expectations for short, medium, and long-term averages. Step 1: Determine MA weights In our example, we use 3 active MAs with the following weights (Score Above values): MA1 (Short): Weight = +2 MA2 (Medium): Weight = +3 MA3 (Long): Weight = +4 Step 2: Determine the minimum expected distance Define a minimum distance expected from each MA to trigger a "Strong" signal. Step 3: Calculate target scores and the final threshold Note: If "Enable Averaging" is ON, the resulting value (sum of target scores) must be averaged to get the final threshold. Example 1: ATR Distance -Goal: I want a "Strong" signal if the price is... ...at least 1.0 ATR above MA1 (Short), ...at least 1.5 ATR above MA2 (Medium), ...and at least 2.0 ATR above MA3 (Long). -Calculation (Expected Distance * Weight): MA1 Target Score: 1.0 * 2 = 2.0 MA2 Target Score: 1.5 * 3 = 4.5 MA3 Target Score: 2.0 * 4 = 8.0 -Final Threshold (Sum of Target Scores): 2.0 + 4.5 + 8.0 = 14.5 -Setting: Set "Strong Above - ATR" threshold to 14.5. If "Enable Averaging" is ON, the obtained value must be averaged, and the result will be the threshold: 4.8 (14.5 / 3 = 4.83). Example 2: Percentage Distance -Goal: I want a "Strong" signal if the price is... ...at least 0.5% above MA1, ...at least 1.0% above MA2, ...and at least 1.5% above MA3. -Calculation (Expected Distance * Weight): MA1 Target Score: 0.5 * 2.0 = 1.0 MA2 Target Score: 1.0 * 3.0 = 3.0 MA3 Target Score: 1.5 * 4.0 = 6.0 -Final Threshold (Sum): 1.0 + 3.0 + 6.0 = 10.0 -Setting: Set "Strong Above - Percentage" threshold to 10.0. If "Enable Averaging" is ON, the obtained value must be averaged, and the result will be the threshold. Example 3: Candle Count -Goal: I want a "Strong" signal if... ...at least 3 consecutive candles are above MA1, ...at least 5 consecutive candles are above MA2, ...and at least 10 consecutive candles are above MA3. -Calculation (Expected Candle Count * Weight): MA1 Target Score: 3 * 2.0 = 6.0 MA2 Target Score: 5 * 3.0 = 15.0 MA3 Target Score: 10 * 4.0 = 40.0 -Final Threshold (Sum): 6.0 + 15.0 + 40.0 = 61.0 -Setting: Set "Strong Above - Candle" threshold to 61.0. If "Enable Averaging" is ON, the obtained value must be averaged, and the result will be the threshold. Example 4: Sum In this mode, distance does not matter, only whether the price is above or below the MA. -Goal: "Strong" signal if the price is above the long-term averages, but can be below the short-term (MA1). MA1 (Short): Can be below (Weight: -2.0) MA2 (Medium): Must be above (Weight: +3.0) MA3 (Long): Must be above (Weight: +4.0) -Calculation: -2.0 + 3.0 + 4.0 = 5.0 -Setting: Set "Strong Above - Sum" threshold to 5.0. If it must be above all three moving averages, the threshold would be 2.0 + 3.0 + 4.0 = 9.0. If "Enable Averaging" is ON, the obtained value must be averaged, and the result will be the threshold. Example 5: Normalized The basic logic is similar to the "Sum" method. -Goal: "Strong" signal if price is above MA2 and MA3, but potentially below MA1. -Calculation: Target Sum: 5.0. Max Possible Score (above all): 9.0. -Threshold: (5.0 / 9.0) * 100 = 55.5 In this calculation method, averaging cannot be set. The Usage of the "ATR %" Row The "ATR %" row shows the percentage movement of an average candle. How to use this with "Percentage Distance" mode: This number gives a baseline. It helps decide if the "Percentage Distance" threshold is realistic. Example: You see the "ATR %" value is hovering around 1.2%. This means a "normal" candle moves about 1.2%. If you set the Percentage threshold to 0.5%, it is too low. The indicator will constantly give a "Strong" signal because even average movement (noise) exceeds the threshold. Correct Usage: If "normal" movement is 1.2%, then a "strong" movement (trend) needs to be significantly larger. For example, set the threshold to double the ATR %: 2.4 (2 * 1.2). Thus, you only get a "Strong" signal if the movement is twice the average volatility. Supplementary Information Rounding Differences: The numbers displayed in the table and the precision of calculations in the background differ. Table Display: The indicator rounds numbers to two decimal places in the table. So, if the value is 0.996, the table shows 1.00 (rounded up). Internal Calculation: The background calculation uses much higher precision. When determining status (STRONG vs NEUTRAL), the program compares the precise, unrounded value to the threshold. Result: Due to rounding, it may happen that if the threshold is 1.00 and the table shows 1.00, the status flickers between Strong and Neutral. If this is bothersome, it is advisable to set a slightly lower threshold (e.g., 0.98). 🔔 Alert Settings The indicator can send alerts when the status changes. Alert Method: Trend: Alerts when the main trend status changes (e.g., from "NEUTRAL" to "BULLISH"). You can specify which direction to alert for (e.g., only "BULLISH"). Forex: Works only on 6-character forex pairs. You can set separate alerts for the Base or Quote currency. Forex Strength Level: You can specify at which status level to alert (e.g., "WEAK" or "EXT. STRONG"). 📈 Trading Tips Trend Confirmation: Use the "BULLISH" / "BEARISH" status to confirm your existing strategy (e.g., breakouts, bounces off support). Forex Pairing: In Forex mode, look for pairs where the Base currency is "STRONG" and the Quote currency is "WEAK" (or "EXT. STRONG" / "EXT. WEAK") for a long position. Short Position: Reverse the above (Base: WEAK, Quote: STRONG).
Chỉ báo Pine Script®
của nzsolti18
2
Candlewick Detector Heinken AshiTrend reversal detector based on no-wick candle analysis at the opening side. Identifies momentum shifts by marking the first reversal candle after a bullish or bearish sequence. The indicator scans up to 5 candles after a color change to detect the first candle without wick on the opening side (red candle with no upper wick or green candle with no lower wick). Clear visual signals with colored triangles. Fully customizable parameters including minimum sequence length, body size percentage, wick tolerance, and lookback period to adapt to all trading styles.
Chỉ báo Pine Script®
của GIANESELLI
MM Wash Detector (Fool-Proof)MM Wash Detector (Stealth) is a market-structure tool designed to identify wash candles created during liquidity hunts. These candles typically show unusually long wicks with tiny bodies, signalling where market makers have swept stop-losses before reversing price. The indicator marks: Bear Wash → Long bottom wick (stop-hunt down, reversal up) Bull Wash → Long top wick (stop-hunt up, reversal down) This helps traders spot manipulation areas, liquidity grabs, and potential reversal zones with simple, discreet chart labels.
Chỉ báo Pine Script®
của basantd
V-CORE SMA Matrix LiteV-CORE SMA Matrix Lite A clean, lightweight 5-SMA structure tool built using Pine Script v6. This open-source Lite edition provides a simple visual framework for identifying market structure using the most commonly used moving averages: 21 SMA 50 SMA 80 SMA 100 SMA 200 SMA Each line is individually adjustable and colour-coded for easy trend reading. No signals, no alerts, no automation — purely a visual tool for traders who prefer clarity over complexity. This Lite version exposes only basic, non-proprietary logic. Advanced regime systems, multi-stage confirmation models, and automation features are available only in the full V-CORE Engine suite. Part of the V-CORE Lite Series Free open-source tools designed for education, research, and clean charting. Follow our work: TradingView: VectorCoresAI X (Twitter): vectorcoresai Telegram: vectorcoresai
Chỉ báo Pine Script®
của Vectorcoresai
dual moving average crossover Erdal//@version=5 indicator("MA Cross Simple", overlay=true) // Inputs fastLen = input.int(10) slowLen = input.int(100) // Moving averages fastMA = ta.sma(close, fastLen) slowMA = ta.sma(close, slowLen) // Plot plot(fastMA, color=color.green) plot(slowMA, color=color.red) // Cross signals bull = ta.crossover(fastMA, slowMA) bear = ta.crossunder(fastMA, slowMA) // Labels if bull label.new(bar_index, low, "BUY", style=label.style_label_up, color=color.green) if bear label.new(bar_index, high, "SELL", style=label.style_label_down, color=color.red)
Chỉ báo Pine Script®
của NIL02
Market Internals Dashboard: Trend, Breadth, Volume PressureOverview The Market Internals Dashboard Pro is a professional-grade toolkit modeled after what prop firms and institutional desks use to understand real intraday market conditions. Instead of relying solely on price, this indicator analyzes three critical internal forces: USI:TICK : Microstructure buying/selling pressure USI:ADD : Market breadth participation (advancers vs decliners proxy) USI:VOLD : Volume pressure (buying vs selling volume) These internals determine whether the market is: Trending or ranging Bullish or bearish Likely to follow through or mean-revert Favoring continuation trades or fade setups The script also produces a Market Environment Score (–3 to +3) and a real-time Trade Recommendation Table that updates every bar. This helps answer the single most important question in intraday trading: “What type of trades should I be taking right now given current market conditions?” 1. TICK Proxy: Microstructure Pressure Measures buying vs. selling aggressiveness across the market This proxy simulates the NYSE TICK index by evaluating whether bars close above or below the prior bar. Positive TICK → Buyers lifting offers Negative TICK → Sellers hitting bids Neutral TICK → No microstructure conviction Why it matters: Strong TICK is often the earliest sign of: Trend initiation Algorithmic buy/sell programs Shifts in short‑term sentiment Weak or choppy TICK often signals: Range conditions Failed breakouts Low‑quality trend attempts 2. ADD Proxy: Market Breadth Strength Shows how many stocks are participating in a move Because real USI:ADD data isn't available for all users, this script uses a self-contained breadth approximation built from: Price slope Volatility expansion Volume‑weighted directional pressure Why it matters? Breadth reveals whether the move is: Broad and healthy → likely to continue Narrow and weak → vulnerable to reversal Strong trends require strong breadth. Weak breadth often precedes: Failed breakouts Reversal setups Chop (ewww) 3. VOLD Proxy: Volume Pressure The most important internal of all. This proxy measures whether trading volume is flowing into up bars or down bars. Positive VOLD → Net buying pressure Negative VOLD → Net selling pressure Why it matters: VOLD is considered the "truth serum" of the tape: Strong VOLD drives trend days Negative VOLD kills long setups Mixed VOLD creates chop You should rarely trend trade against VOLD. 4. Market Environment Score (–3 to +3) The Environment Score combines the three internals into a single view: || Score || Interpretation || Market Type || | +3 | Strong Bull | Trend Day (Long) | | +2 | Bull | Pullback Buys / Breakout Continuation | | +1 | Mild Bull | Conservative Long Scalps | | 0 | Neutral | CHOP – VWAP Reversions / Fades | | -1 | Mild Bear | Short Failed Breakouts | | -2 | Bear | Trend Shorts / Breakdown Continuation | | -3 | Strong Bear | Trend Day (Short) | Why it matters: The market behaves differently depending on internal alignment. This score prevents traders from: Forcing trend trades on chop days Chasing breakouts when breadth is weak Fading strong directional days It tells you in real time whether conditions favor: Trend following Mean reversion Breakout continuation Liquidity grabs Or sitting out 5. Trade Recommendation Engine Based on the Environment Score, the indicator outputs a real-time playbook recommending which trade types have the highest probability of success right now. Examples: Score = 0 (Neutral) VWAP Reversions Liquidity Grabs Failed Breakouts Quick Scalps Score = +2/+3 (Strong Bull) Pullback Buys Breakout Continuation Trend Longs Score = -2/-3 (Strong Bear) Pullback Shorts Breakdown Continuation Trend Shorts Only This turns the internals into a trade selection engine, not just a data display. Why Market Internals Matter Most indicators look only at price, but price is the result, not the cause. Market internals show: Where volume is flowing Whether buying is aggressive or passive How many stocks are participating Whether algorithms are supporting or fighting the move This dashboard helps traders: Avoid chop Stay out of low‑quality setups Time entries with institutional flows Improve win rate by trading the right setups at the right times Final Notes Works on any symbol or timeframe Fully customizable colors Two clean visual tables: Internals + Trade Playbook Ideal for futures, ETFs, and options day traders If you enjoy this tool, please like, comment, or follow. More enhancements are coming. Trade smart.
Chỉ báo Pine Script®
của HighTightFlags
Reversal_Detector//@version=6 indicator("상승 반전 탐지기 (Reversal Detector)", overlay=true) // ========================================== // 1. 설정 (Inputs) // ========================================== rsiLen = input.int(14, title="RSI 길이") lbR = input.int(5, title="다이버전스 확인 범위 (오른쪽)") lbL = input.int(5, title="다이버전스 확인 범위 (왼쪽)") rangeUpper = input.int(60, title="RSI 과매수 기준") rangeLower = input.int(30, title="RSI 과매도 기준") // ========================================== // 2. RSI 상승 다이버전스 계산 (핵심 로직) // ========================================== osc = ta.rsi(close, rsiLen) // 피벗 로우(Pivot Low) 찾기: 주가의 저점 plFound = na(ta.pivotlow(osc, lbL, lbR)) ? false : true // 다이버전스 조건 확인 // 1) 현재 RSI 저점이 이전 RSI 저점보다 높아야 함 (상승) // 2) 현재 주가 저점이 이전 주가 저점보다 낮아야 함 (하락) showBull = false if plFound // 이전 피벗 지점 찾기 oscLow = osc priceLow = low // 과거 데이터를 탐색하여 직전 저점과 비교 for i = 1 to 60 if not na(ta.pivotlow(osc, lbL, lbR) ) // 이전에 저점이 있었다면 prevOscLow = osc prevPriceLow = low // 다이버전스 조건: 가격은 더 떨어졌는데(Lower Low), RSI는 올랐을 때(Higher Low) if priceLow < prevPriceLow and oscLow > prevOscLow and oscLow < rangeLower showBull := true break // 하나 찾으면 루프 종료 // ========================================== // 3. 보조 조건 (MACD 골든크로스 & 이평선) // ========================================== = ta.macd(close, 12, 26, 9) macdCross = ta.crossover(macdLine, signalLine) // MACD 골든크로스 ma5 = ta.sma(close, 5) ma20 = ta.sma(close, 20) maCross = ta.crossover(ma5, ma20) // 5일선이 20일선 돌파 // ========================================== // 4. 시각화 (Plotting) // ========================================== // 1) 상승 다이버전스 발생 시 (강력한 바닥 신호) plotshape(showBull, title="상승 다이버전스", style=shape.labelup, location=location.belowbar, color=color.red, textcolor=color.white, text="Bull Div (바닥신호)", size=size.small, offset=-lbR) // 과거 시점에 표시 // 2) MACD 골든크로스 (추세 확인용) plotshape(macdCross and macdLine < 0, // 0선 아래에서 골든크로스 날 때만 title="MACD 골든크로스", style=shape.triangleup, location=location.belowbar, color=color.yellow, size=size.tiny, text="MACD") // 3) 이동평균선 plot(ma5, color=color.blue, title="5일선") plot(ma20, color=color.orange, title="20일선") // 알림 설정 alertcondition(showBull, title="상승 다이버전스 포착", message="상승 다이버전스 발생! 추세 반전 가능성")
Chỉ báo Pine Script®
của kovipet
DWM HLOC, Mid & WicksSimple, yet effective. 1. Automatically calculate and projects key price levels from a previous period (Yesterday, OR Last Week / Month) onto the current trading session. It acts as an immediate Support & Resistance map based on historical price action. 2. Multi-Timeframe Logic Modes -- Daily Mode: Projects yesterday's data onto today. Weekly Mode: Projects last week's data onto the current week. 3. Key Levels Visualized The script calculates seven distinct price levels: OHLC: Previous Open, High, Low, and Close. Equilibrium (Mid): The exact 50% mark between the previous High and Low. Wick Midpoints (New): Upper Wick 50%: The midpoint between the High and the top of the body. Lower Wick 50%: The midpoint between the Low and the bottom of the body. 4. Smart "Gap" Visualization The script uses unique starting points to help traders visualize market gaps: Standard Levels (High, Low, Open, Mids): These lines originate from the Previous Period's Open, showing the full context of the level relative to time. Close Level: This line originates from the Current Period's Open. This visually highlights the "Gap" (the jump in price between where the market closed previously and where it opened today). 5. Full Customization Aesthetics: Every line can be individually toggled on/off. Styling: Users can independently change the color, line style (Solid, Dotted, Dashed), and thickness for every specific level.
Chỉ báo Pine Script®
của siLve_R88
67 2.0Major Market Trading Hours New York Stock Exchange (NYSE) Open: 9:30 AM (ET) Close: 4:00 PM (ET) Pre-Market: 4:00 AM – 9:30 AM (ET) After Hours: 4:00 PM – 8:00 PM (ET) Nasdaq Open: 9:30 AM (ET) Close: 4:00 PM (ET) Pre-Market: 4:00 AM – 9:30 AM (ET) After Hours: 4:00 PM – 8:00 PM (ET) London Stock Exchange (LSE) Open: 8:00 AM (GMT) Close: 4:30 PM (GMT) Tokyo Stock Exchange (TSE) Open: 9:00 AM (JST) Lunch Break: 11:30 AM – 12:30 PM (JST) Close: 3:00 PM (JST) Hong Kong Stock Exchange (HKEX) Open: 9:30 AM (HKT) Lunch Break: 12:00 PM – 1:00 PM (HKT) Close: 4:00 PM (HKT)
Chỉ báo Pine Script®
của nyzilakos
Buffett Quality Filter (TTM)//@version=6 indicator("Buffett Quality Filter (TTM)", overlay = true, max_labels_count = 500) // 1. Get financial data (TTM / FY / FQ) // EPS (TTM) for P/E eps = request.financial(syminfo.tickerid, "EARNINGS_PER_SHARE_BASIC", "TTM") // Profitability & moat (annual stats) roe = request.financial(syminfo.tickerid, "RETURN_ON_EQUITY", "FY") roic = request.financial(syminfo.tickerid, "RETURN_ON_INVESTED_CAPITAL", "FY") // Margins (TTM – rolling 12 months) grossMargin = request.financial(syminfo.tickerid, "GROSS_MARGIN", "TTM") netMargin = request.financial(syminfo.tickerid, "NET_MARGIN", "TTM") // Balance sheet safety (quarterly) deRatio = request.financial(syminfo.tickerid, "DEBT_TO_EQUITY", "FQ") currentRat = request.financial(syminfo.tickerid, "CURRENT_RATIO", "FQ") // Growth (1-year change, TTM) epsGrowth1Y = request.financial(syminfo.tickerid, "EARNINGS_PER_SHARE_BASIC_ONE_YEAR_GROWTH", "TTM") revGrowth1Y = request.financial(syminfo.tickerid, "REVENUE_ONE_YEAR_GROWTH", "TTM") // Free cash flow (TTM) and shares to build FCF per share for P/FCF fcf = request.financial(syminfo.tickerid, "FREE_CASH_FLOW", "TTM") sharesOut = request.financial(syminfo.tickerid, "TOTAL_SHARES_OUTSTANDING", "FQ") fcfPerShare = (not na(fcf) and not na(sharesOut) and sharesOut != 0) ? fcf / sharesOut : na // 2. Valuation ratios from price pe = (not na(eps) and eps != 0) ? close / eps : na pFcf = (not na(fcfPerShare) and fcfPerShare > 0) ? close / fcfPerShare : na // 3. Thresholds (Buffett-style, adjustable) minROE = input.float(15.0, "Min ROE %") minROIC = input.float(12.0, "Min ROIC %") minGM = input.float(30.0, "Min Gross Margin %") minNM = input.float(8.0, "Min Net Margin %") maxDE = input.float(0.7, "Max Debt / Equity") minCurr = input.float(1.3, "Min Current Ratio") minEPSG = input.float(8.0, "Min EPS Growth 1Y %") minREVG = input.float(5.0, "Min Revenue Growth 1Y %") maxPE = input.float(20.0, "Max P/E") maxPFCF = input.float(20.0, "Max P/FCF") // 4. Individual conditions cROE = not na(roe) and roe > minROE cROIC = not na(roic) and roic > minROIC cGM = not na(grossMargin) and grossMargin > minGM cNM = not na(netMargin) and netMargin > minNM cDE = not na(deRatio) and deRatio < maxDE cCurr = not na(currentRat) and currentRat > minCurr cEPSG = not na(epsGrowth1Y) and epsGrowth1Y > minEPSG cREVG = not na(revGrowth1Y) and revGrowth1Y > minREVG cPE = not na(pe) and pe < maxPE cPFCF = not na(pFcf) and pFcf < maxPFCF // 5. Composite “Buffett Score” (0–10) – keep it on ONE line to avoid line-continuation errors score = (cROE ? 1 : 0) + (cROIC ? 1 : 0) + (cGM ? 1 : 0) + (cNM ? 1 : 0) + (cDE ? 1 : 0) + (cCurr ? 1 : 0) + (cEPSG ? 1 : 0) + (cREVG ? 1 : 0) + (cPE ? 1 : 0) + (cPFCF ? 1 : 0) // Strictness minScoreForPass = input.int(7, "Min score to pass (0–10)", minval = 1, maxval = 10) passes = score >= minScoreForPass // 6. Visuals bgcolor(passes ? color.new(color.green, 80) : na) plot(score, "Buffett Score (0–10)", color = color.new(color.blue, 0)) // Info label on last bar var label infoLabel = na if barstate.islast if not na(infoLabel) label.delete(infoLabel) infoText = str.format( "Buffett score: {0} ROE: {1,number,#.0}% | ROIC: {2,number,#.0}% GM: {3,number,#.0}% | NM: {4,number,#.0}% P/E: {5,number,#.0} | P/FCF: {6,number,#.0} D/E: {7,number,#.00} | Curr: {8,number,#.00}", score, roe, roic, grossMargin, netMargin, pe, pFcf, deRatio, currentRat) infoLabel := label.new(bar_index, high, infoText, style = label.style_label_right, color = color.new(color.black, 0), textcolor = color.white, size = size.small)
Chỉ báo Pine Script®
của kgdholu
SUPER TREND + RSI FILTER PRO@version=5 indicator("SUPER TREND + RSI FILTER PRO", overlay=true, timeframe="", timeframe_gaps=true) //--------------------------- // INPUTS //--------------------------- factor = input.float(3.0, "SuperTrend Factor") atr_len = input.int(10, "ATR Length") rsi_len = input.int(14, "RSI Length") rsi_buy = input.int(50, "RSI Buy Level") rsi_sell = input.int(50, "RSI Sell Level") //--------------------------- // SUPERTREND CALCULATION //--------------------------- atr = ta.atr(atr_len) upperBand = close + factor * atr lowerBand = close - factor * atr trend = 0.0 trend := close > nz(trend ) ? math.max(lowerBand, nz(trend )) : math.min(upperBand, nz(trend )) // Coloration bull = close > trend bear = close < trend //--------------------------- // RSI FILTER //--------------------------- rsi = ta.rsi(close, rsi_len) //--------------------------- // BUY & SELL SIGNALS //--------------------------- buySignal = bull and rsi > rsi_buy and close > trend sellSignal = bear and rsi < rsi_sell and close < trend //--------------------------- // PLOT SUPERTREND //--------------------------- plot(trend, color=bull ? color.green : color.red, linewidth=2, title="SuperTrend") //--------------------------- // BUY / SELL MARKERS //--------------------------- plotshape(buySignal, title="Buy", style=shape.labelup, color=color.green, size=size.small, text="BUY") plotshape(sellSignal, title="Sell", style=shape.labeldown, color=color.red, size=size.small, text="SELL") //--------------------------- // ALERTS //--------------------------- alertcondition(buySignal, title="Buy Signal", message="BUY Signal - SuperTrend + RSI Filter") alertcondition(sellSignal, title="Sell Signal", message="SELL Signal - SuperTrend + RSI Filter")
Chỉ báo Pine Script®
của chinellelynda
BTC Price Prediction Model [Global PMI]🇨🇳 中文说明 (Chinese Version) 1. 简介 本指标由 GW Capital 使用 Gemini Vibe Coding 技术制作。利用先进的 AI 编程能力，将复杂的宏观经济模型重构为可执行的交易工具。 2. 致谢 特别感谢模型原作者 Marty Kendall。他对这一算法的研究奠定了基础，揭示了比特币价格与宏观经济因素之间的深层联系。 3. 模型原理与公式 该模型基于四大宏观经济支柱计算比特币的“公允价值”。它假设比特币的价格是全球流动性、网络安全性、风险偏好和经济周期的函数。 模型公式 $$\ln(BTC) = \alpha + (1 + \beta \cdot PMI_{z}) \times $$ 全球流动性 (M2): 美、中、欧、日四大经济体的 M2 总量（折算为美元）。代表可流入资产的法币资金池。 网络安全性 (Hashrate): 比特币全网算力，代表网络的物理安全性和实用价值。 风险偏好 (S&P 500): 作为全球风险情绪的代理指标。 经济周期 (PMI Z-Score): 美国制造业 PMI 用于根据商业周期（扩张 vs 收缩）来放大或抑制估值。 4. 指标用法 指标会在图表上绘制 公允价值 (白线) 以及基于统计偏差 (Z-Score) 的四条情绪带。 情绪区间 🚨 极度贪婪 (红色区域): 价格 > +0.3 标准差。历史上通常预示市场顶部或情绪过热。 ⚠️ 一般贪婪 (橙色区域): 价格 > +0.15 标准差。多头动能强劲，但需谨慎。 ⚖️ 公允价值 (白线): 基于宏观数据的理论“正确”价格。 😨 一般恐惧 (青色区域): 价格 < -0.15 标准差。进入低估区域。 💎 极度恐惧 (绿色区域): 价格 < -0.3 标准差。历史上通常是代际级别的买入机会。 情绪评分 (0-100) 100: 极度贪婪 (顶部) 50: 公允价值 0: 极度恐惧 (底部) 5. 使用建议 周期: 仅限日线 (1D) 或周线 (1W)。 原因: 底层数据源（M2, PMI）是月度更新的。标普500和算力是日度更新的。在日内图表（如15分钟、1小时、4小时）上使用此指标没有任何意义，因为基本面数据不会变化得那么快。 长期视角: 这是一个宏观周期指标，旨在识别数月甚至数年的周期顶部和底部，而非用于日内交易。 6. 免责声明 本指标仅供教育和参考使用，不构成任何财务建议。该模型依赖于历史相关性，未来可能不再适用。所有交易均涉及风险。GW Capital 及制作者不对任何交易损失承担责任。 🇺🇸 English Guide (英文说明) 1. Introduction This indicator was created by GW Capital using Gemini Vibe Coding technology. It leverages advanced AI coding capabilities to reconstruct complex macroeconomic models into actionable trading tools. 2. Credits Special thanks to the original model author, Marty Kendall. His research into the correlation between Bitcoin's price and macroeconomic factors lays the foundation for this algorithm. 3. Model Principles & Formula This model calculates the "Fair Value" of Bitcoin based on four key macroeconomic pillars. It assumes that Bitcoin's price is a function of Global Liquidity, Network Security, Risk Appetite, and the Economic Cycle. The Formula $$\ln(BTC) = \alpha + (1 + \beta \cdot PMI_{z}) \times $$ Global Liquidity (M2): Sum of M2 supply from US, China, Eurozone, and Japan (converted to USD). Represents the pool of fiat money available to flow into assets. Network Security (Hashrate): Bitcoin's hashrate, representing the physical security and utility of the network. Risk Appetite (S&P 500): Used as a proxy for global risk sentiment. Economic Cycle (PMI Z-Score): US Manufacturing PMI is used to amplify or dampen the valuation based on where we are in the business cycle (Expansion vs. Contraction). 4. How to Use The indicator plots the Fair Value (White Line) and four sentiment bands based on statistical deviation (Z-Score). Sentiment Zones 🚨 Extreme Greed (Red Zone): Price > +0.3 StdDev. Historically indicates a market top or overheated sentiment. ⚠️ Greed (Orange Zone): Price > +0.15 StdDev. Bullish momentum is strong but caution is advised. ⚖️ Fair Value (White Line): The theoretical "correct" price based on macro data. 😨 Fear (Teal Zone): Price < -0.15 StdDev. Undervalued territory. 💎 Extreme Fear (Green Zone): Price < -0.3 StdDev. Historically a generational buying opportunity. Sentiment Score (0-100) 100: Maximum Greed (Top) 50: Fair Value 0: Maximum Fear (Bottom) 5. Usage Recommendations Timeframe: Daily (1D) or Weekly (1W) ONLY. Reason: The underlying data sources (M2, PMI) are updated monthly. The S&P 500 and Hashrate are daily. Using this indicator on intraday charts (e.g., 15m, 1h, 4h) adds no value because the fundamental data does not change that fast. Long-Term View: This is a macro-cycle indicator designed for identifying cycle tops and bottoms over months and years, not for day trading. 6. Disclaimer This indicator is for educational and informational purposes only. It does not constitute financial advice. The model relies on historical correlations which may not hold true in the future. All trading involves risk. GW Capital and the creators assume no responsibility for any trading losses.
Chỉ báo Pine Script®
của GinsTradingRoom