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指標和策略

EMA 5/9 Ribbon + VWAP + Trend Filters **Description:** This indicator combines EMA ribbon analysis with VWAP and volume-based trend filters to help traders identify high-probability entries. It is designed for clarity, providing visual signals, trend bias, and key market metrics directly on the chart. **Key Features:** * EMA Ribbon (5 & 9) that changes color based on trend and VWAP cross. * Buy/Sell signals with optional “strong” signals when trend and volume confirm. * VWAP crossover arrows (yellow) highlight stronger trends. * Sideways detection filter to reduce signals during choppy markets. * Adjustable ribbon and sideways background colors via settings. * Live trend table showing: * Current trend bias (Bullish/Bearish/Sideways) * Bullish vs Bearish volume percentage * ATR for volatility insight * Optional background highlight for sideways zones. **User Inputs:** * EMA lengths, ATR length, volume lookback * Sideways detection toggle and sensitivity * Table placement options (top-right, top-center, bottom-right, bottom-center) * Customizable colors for bullish, bearish, VWAP, and sideways zones **Benefits:** * Quickly visualize trend direction and momentum. * Avoid signals during sideways or low-volatility periods. * Makes chart analysis faster and more intuitive. * Fully customizable to match personal trading style. **Recommended Use:** Best used on intraday or swing charts to confirm trend and momentum. Combine with other analysis tools (support/resistance, candlestick patterns, or additional indicators) for higher confidence trades.
Pine Script®指標
由CubanDragon提供
jaems_Combo: StochRSI + MACD + ADX [QuantDev]//@version=6 strategy("jaems_Combo: StochRSI + MACD + ADX ", overlay=false, initial_capital=10000, currency=currency.USD, commission_type=strategy.commission.percent, commission_value=0.05, slippage=1) // ========================================== // 1. 사용자 입력 (User Inputs) // ========================================== // grp_time = "Backtest Period" useDateFilter = input.bool(true, "기간 필터 적용", group=grp_time) startDate = input.time(timestamp("2023-01-01 00:00"), "시작일", group=grp_time) endDate = input.time(timestamp("2099-12-31 23:59"), "종료일", group=grp_time) inDateRange = not useDateFilter or (time >= startDate and time <= endDate) // grp_stoch = "1. Stochastic RSI Settings" stoch_len = input.int(14, "RSI Length", group=grp_stoch) stoch_k = input.int(3, "K", group=grp_stoch) stoch_d = input.int(3, "D", group=grp_stoch) rsi_len = input.int(14, "Stochastic Length", group=grp_stoch) // grp_macd = "2. MACD Settings (Normalized)" macd_fast = input.int(12, "Fast Length", group=grp_macd) macd_slow = input.int(26, "Slow Length", group=grp_macd) macd_sig = input.int(9, "Signal Length", group=grp_macd) macd_norm_len = input.int(100, "Normalization Lookback", group=grp_macd) // grp_adx = "3. ADX Settings" adx_len = input.int(14, "ADX Smoothing", group=grp_adx) di_len = input.int(14, "DI Length", group=grp_adx) adx_thresh = input.int(25, "ADX Threshold", group=grp_adx) // grp_risk = "4. Risk Management" stopLossPct = input.float(2.0, "손절매 (Stop Loss %)", step=0.1, group=grp_risk) / 100 takeProfitPct = input.float(4.0, "익절매 (Take Profit %)", step=0.1, group=grp_risk) / 100 // - 신규 추가 (Alert Configuration) grp_alert = "5. Alert Configuration" msg_long_entry = input.string("Long Entry Triggered", "Long 진입 메시지", group=grp_alert) msg_short_entry = input.string("Short Entry Triggered", "Short 진입 메시지", group=grp_alert) msg_long_exit = input.string("Long Position Closed", "Long 청산 메시지", group=grp_alert) msg_short_exit = input.string("Short Position Closed", "Short 청산 메시지", group=grp_alert) // ========================================== // 2. 데이터 처리 및 지표 계산 // ========================================== // Stoch RSI rsi_val = ta.rsi(close, rsi_len) k = ta.sma(ta.stoch(rsi_val, rsi_val, rsi_val, stoch_len), stoch_k) d = ta.sma(k, stoch_d) // ADX = ta.dmi(di_len, adx_len) // Normalized MACD (0~100 Scale) = ta.macd(close, macd_fast, macd_slow, macd_sig) highest_macd = ta.highest(macd_line, macd_norm_len) lowest_macd = ta.lowest(macd_line, macd_norm_len) // 분모가 0이 되는 예외 처리 denom = (highest_macd - lowest_macd) norm_macd = denom != 0 ? (macd_line - lowest_macd) / denom * 100 : 50 norm_signal = denom != 0 ? (macd_signal - lowest_macd) / denom * 100 : 50 // ========================================== // 3. 시각화 (Dark Mode Optimized Colors) // ========================================== color gridColor = color.new(#787B86, 50) hline(0, "Bottom", color=gridColor) hline(50, "Middle", color=gridColor, linestyle=hline.style_dotted) hline(100, "Top", color=gridColor) plot(k, "Stoch K", color=color.new(#00E5FF, 0), linewidth=1) // Neon Cyan plot(d, "Stoch D", color=color.new(#EA00FF, 0), linewidth=1) // Neon Magenta plot(adx, "ADX", color=color.new(#FFEB3B, 0), linewidth=2) hline(adx_thresh, "ADX Threshold", color=color.new(#FFEB3B, 50), linestyle=hline.style_dashed) plot(norm_macd, "Norm MACD", color=color.new(#76FF03, 60), style=plot.style_area) plot(norm_signal, "Norm Signal", color=color.new(#FF1744, 20), linewidth=1) // ========================================== // 4. 전략 로직 (Strategy Logic) - 요청하신 내용으로 전면 수정 // ========================================== // 조건: K가 D보다 크고(AND) K가 Norm Signal보다 큰 상태 bool is_bullish = (k > d) and (k > norm_signal) // 조건: K가 D보다 작고(AND) K가 Norm Signal보다 작은 상태 bool is_bearish = (k < d) and (k < norm_signal) // 진입 신호: "이전 봉에는 아니었는데, 지금 봉에서 두 조건을 동시에 만족했을 때" (돌파 순간) longCondition = is_bullish and not is_bullish shortCondition = is_bearish and not is_bearish // 주문 실행 (Confirmed Bar Only) + Alert Message 연결 if inDateRange and barstate.isconfirmed if longCondition strategy.entry("Long", strategy.long, alert_message=msg_long_entry) if shortCondition strategy.entry("Short", strategy.short, alert_message=msg_short_entry) // ========================================== // 5. 청산 및 신호 강조 (Alert Message 추가) // ========================================== if strategy.position_size > 0 strategy.exit("Long Exit", "Long", stop=strategy.position_avg_price * (1 - stopLossPct), limit=strategy.position_avg_price * (1 + takeProfitPct), alert_message=msg_long_exit) if strategy.position_size < 0 strategy.exit("Short Exit", "Short", stop=strategy.position_avg_price * (1 + stopLossPct), limit=strategy.position_avg_price * (1 - takeProfitPct), alert_message=msg_short_exit) // 배경 신호 bgcolor(longCondition ? color.new(#76FF03, 90) : na, title="Long Signal BG") bgcolor(shortCondition ? color.new(#FF1744, 90) : na, title="Short Signal BG")
Pine Script®策略
由Kingjmaes提供
jaems_Double BB[Alert]/W-Bottom/Dashboard// This Pine Script® code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org // © Kingjmaes //@version=6 strategy("jaems_Double BB /W-Bottom/Dashboard", shorttitle="jaems_Double BB /W-Bottom/Dashboard", overlay=true, commission_type=strategy.commission.percent, commission_value=0.05, slippage=1, process_orders_on_close=true) // ========================================== // 1. 사용자 입력 (Inputs) // ========================================== group_date = "📅 백테스트 기간 설정" startTime = input.time(timestamp("2024-01-01 00:00"), "시작일", group=group_date) endTime = input.time(timestamp("2099-12-31 23:59"), "종료일", group=group_date) group_bb = "📊 더블 볼린저 밴드 설정" bb_len = input.int(20, "길이 (Length)", minval=5, group=group_bb) bb_mult_inner = input.float(1.0, "내부 밴드 승수 (Inner A)", step=0.1, group=group_bb) bb_mult_outer = input.float(2.0, "외부 밴드 승수 (Outer B)", step=0.1, group=group_bb) group_w = "📉 W 바닥 패턴 설정" pivot_left = input.int(3, "피벗 좌측 봉 수", minval=1, group=group_w) pivot_right = input.int(1, "피벗 우측 봉 수", minval=1, group=group_w) group_dash = "🖥️ 대시보드 설정" show_dash = input.bool(true, "대시보드 표시", group=group_dash) comp_sym = input.symbol("NASDAQ:NDX", "비교 지수 (GS Trend)", group=group_dash, tooltip="S&P500은 'SP:SPX', 비트코인은 'BINANCE:BTCUSDT' 등을 입력하세요.") rsi_len = input.int(14, "RSI 길이", group=group_dash) group_risk = "🛡 리스크 관리" use_sl_tp = input.bool(true, "손절/익절 사용", group=group_risk) sl_pct = input.float(2.0, "손절매 (%)", step=0.1, group=group_risk) / 100 tp_pct = input.float(4.0, "익절매 (%)", step=0.1, group=group_risk) / 100 // ========================================== // 2. 데이터 처리 및 계산 (Calculations) // ========================================== // 기간 필터 inDateRange = time >= startTime and time <= endTime // 더블 볼린저 밴드 basis = ta.sma(close, bb_len) dev_inner = ta.stdev(close, bb_len) * bb_mult_inner dev_outer = ta.stdev(close, bb_len) * bb_mult_outer upper_A = basis + dev_inner lower_A = basis - dev_inner upper_B = basis + dev_outer lower_B = basis - dev_outer percent_b = (close - lower_B) / (upper_B - lower_B) // W 바닥형 (W-Bottom) - 리페인팅 방지 pl = ta.pivotlow(low, pivot_left, pivot_right) var float p1_price = na var float p1_pb = na var float p2_price = na var float p2_pb = na var bool is_w_setup = false if not na(pl) p1_price := p2_price p1_pb := p2_pb p2_price := low p2_pb := percent_b // 패턴 감지 bool cond_w = (p1_price < lower_B ) and (p2_price > p1_price) and (p2_pb > p1_pb) is_w_setup := cond_w ? true : false w_bottom_signal = is_w_setup and close > open and close > lower_A if w_bottom_signal is_w_setup := false // GS 트렌드 (나스닥 상대 강도) ndx_close = request.security(comp_sym, timeframe.period, close) rs_ratio = close / ndx_close rs_sma = ta.sma(rs_ratio, 20) gs_trend_bull = rs_ratio > rs_sma // RSI & MACD rsi_val = ta.rsi(close, rsi_len) = ta.macd(close, 12, 26, 9) macd_bull = macd_line > signal_line // ========================================== // 3. 전략 로직 (Strategy Logic) // ========================================== long_cond = (ta.crossover(close, lower_A) or ta.crossover(close, basis) or w_bottom_signal) and inDateRange and barstate.isconfirmed short_cond = (ta.crossunder(close, upper_B) or ta.crossunder(close, upper_A) or ta.crossunder(close, basis)) and inDateRange and barstate.isconfirmed // 진입 실행 및 알람 발송 if long_cond strategy.entry("Long", strategy.long, comment="Entry Long") alert("Long Entry Triggered | Price: " + str.tostring(close), alert.freq_once_per_bar_close) if short_cond strategy.entry("Short", strategy.short, comment="Entry Short") alert("Short Entry Triggered | Price: " + str.tostring(close), alert.freq_once_per_bar_close) // 청산 실행 if use_sl_tp if strategy.position_size > 0 strategy.exit("Exit Long", "Long", stop=strategy.position_avg_price * (1 - sl_pct), limit=strategy.position_avg_price * (1 + tp_pct), comment_loss="L-SL", comment_profit="L-TP") if strategy.position_size < 0 strategy.exit("Exit Short", "Short", stop=strategy.position_avg_price * (1 + sl_pct), limit=strategy.position_avg_price * (1 - tp_pct), comment_loss="S-SL", comment_profit="S-TP") // 별도 알람: W 패턴 감지 시 if w_bottom_signal alert("W-Bottom Pattern Detected!", alert.freq_once_per_bar_close) // ========================================== // 4. 대시보드 시각화 (Dashboard Visualization) // ========================================== c_bg_head = color.new(color.black, 20) c_bg_cell = color.new(color.black, 40) c_text = color.white c_bull = color.new(#00E676, 0) c_bear = color.new(#FF5252, 0) c_neu = color.new(color.gray, 30) get_trend_color(is_bull) => is_bull ? c_bull : c_bear get_pos_text() => strategy.position_size > 0 ? "LONG 🟢" : strategy.position_size < 0 ? "SHORT 🔴" : "FLAT ⚪" get_pos_color() => strategy.position_size > 0 ? c_bull : strategy.position_size < 0 ? c_bear : c_neu var table dash = table.new(position.top_right, 2, 7, border_width=1, border_color=color.gray, frame_color=color.gray, frame_width=1) if show_dash and (barstate.islast or barstate.islastconfirmedhistory) table.cell(dash, 0, 0, "METRIC", bgcolor=c_bg_head, text_color=c_text, text_size=size.small) table.cell(dash, 1, 0, "STATUS", bgcolor=c_bg_head, text_color=c_text, text_size=size.small) table.cell(dash, 0, 1, "GS Trend", bgcolor=c_bg_cell, text_color=c_text, text_halign=text.align_left, text_size=size.small) table.cell(dash, 1, 1, gs_trend_bull ? "Bullish" : "Bearish", bgcolor=c_bg_cell, text_color=get_trend_color(gs_trend_bull), text_size=size.small) rsi_col = rsi_val > 70 ? c_bear : rsi_val < 30 ? c_bull : c_neu table.cell(dash, 0, 2, "RSI (14)", bgcolor=c_bg_cell, text_color=c_text, text_halign=text.align_left, text_size=size.small) table.cell(dash, 1, 2, str.tostring(rsi_val, "#.##"), bgcolor=c_bg_cell, text_color=rsi_col, text_size=size.small) table.cell(dash, 0, 3, "MACD", bgcolor=c_bg_cell, text_color=c_text, text_halign=text.align_left, text_size=size.small) table.cell(dash, 1, 3, macd_bull ? "Bullish" : "Bearish", bgcolor=c_bg_cell, text_color=get_trend_color(macd_bull), text_size=size.small) w_status = w_bottom_signal ? "DETECTED!" : is_w_setup ? "Setup Ready" : "Waiting" w_col = w_bottom_signal ? c_bull : is_w_setup ? color.yellow : c_neu table.cell(dash, 0, 4, "W-Bottoms", bgcolor=c_bg_cell, text_color=c_text, text_halign=text.align_left, text_size=size.small) table.cell(dash, 1, 4, w_status, bgcolor=c_bg_cell, text_color=w_col, text_size=size.small) table.cell(dash, 0, 5, "Position", bgcolor=c_bg_cell, text_color=c_text, text_halign=text.align_left, text_size=size.small) table.cell(dash, 1, 5, get_pos_text(), bgcolor=c_bg_cell, text_color=get_pos_color(), text_size=size.small) last_sig = long_cond ? "BUY SIGNAL" : short_cond ? "SELL SIGNAL" : "HOLD" last_col = long_cond ? c_bull : short_cond ? c_bear : c_neu table.cell(dash, 0, 6, "Signal", bgcolor=c_bg_cell, text_color=c_text, text_halign=text.align_left, text_size=size.small) table.cell(dash, 1, 6, last_sig, bgcolor=c_bg_cell, text_color=last_col, text_size=size.small) // ========================================== // 5. 시각화 (Visualization) // ========================================== p_upper_B = plot(upper_B, "Upper B", color=color.new(color.red, 50)) p_upper_A = plot(upper_A, "Upper A", color=color.new(color.red, 0)) p_basis = plot(basis, "Basis", color=color.gray) p_lower_A = plot(lower_A, "Lower A", color=color.new(color.green, 0)) p_lower_B = plot(lower_B, "Lower B", color=color.new(color.green, 50)) fill(p_upper_B, p_upper_A, color=color.new(color.red, 90)) fill(p_lower_A, p_lower_B, color=color.new(color.green, 90)) plotshape(long_cond, title="Long", style=shape.triangleup, location=location.belowbar, color=color.green, size=size.small) plotshape(short_cond, title="Short", style=shape.triangledown, location=location.abovebar, color=color.red, size=size.small)
Pine Script®策略
由Kingjmaes提供
james S/R Trend Pro v6//@version=6 strategy("jaems_MACD+RSI ", shorttitle="jaems_MACD+RSI ", overlay=false, initial_capital=10000, currency=currency.USD, default_qty_type=strategy.percent_of_equity, default_qty_value=10, commission_type=strategy.commission.percent, commission_value=0.05, calc_on_every_tick=false) // ============================================================================= // 1. 설정 (Inputs) // ============================================================================= group_macd = "📊 MACD 설정" fastLen = input.int(12, "Fast Length", group=group_macd) slowLen = input.int(26, "Slow Length", group=group_macd) sigLen = input.int(9, "Signal Smoothing", group=group_macd) src = input.source(close, "Source", group=group_macd) group_col = "🎨 시각화 색상" col_up = input.color(color.new(#00E676, 0), "상승 (Neon Green)", group=group_col) col_dn = input.color(color.new(#FF1744, 0), "하락 (Red)", group=group_col) col_sig = input.color(color.new(#FFEA00, 0), "Signal 기본색", group=group_col) // ============================================================================= // 2. 계산 (Calculations) // ============================================================================= fastMA = ta.ema(src, fastLen) slowMA = ta.ema(src, slowLen) macd = fastMA - slowMA signal = ta.ema(macd, sigLen) hist = macd - signal // 교차 확인 (Crossovers) bool crossUp = ta.crossover(macd, signal) bool crossDn = ta.crossunder(macd, signal) // 추세 상태 확인 bool isBullish = macd >= signal // ============================================================================= // 3. 전략 실행 (Execution) // ============================================================================= if crossUp strategy.entry("Long", strategy.long) if crossDn strategy.entry("Short", strategy.short) // ============================================================================= // 4. 시각화 (Visualization) - 수정된 부분 // ============================================================================= // 4.1 MACD 라인 색상 동적 변경 color macdDynamicColor = isBullish ? col_up : col_dn // 4.2 라인 그리기 plot(macd, title="MACD Line", color=macdDynamicColor, linewidth=2) plot(signal, title="Signal Line", color=col_sig, linewidth=1) // 4.3 교차점 도트 (Thick Dots) - 괄호 오류 방지를 위해 명시적 변수 할당 float dotLevelUp = crossUp ? signal : na float dotLevelDn = crossDn ? signal : na plot(dotLevelUp, title="Golden Cross Dot", style=plot.style_circles, color=col_up, linewidth=5) plot(dotLevelDn, title="Dead Cross Dot", style=plot.style_circles, color=col_dn, linewidth=5) // 4.4 히스토그램 색상 (오류 수정: 중첩 삼항연산자 제거 -> if-else 변환) color histColor = na if isBullish // 상승 추세일 때: 히스토그램이 직전보다 커지면 진한색, 작아지면 연한색 if hist < hist histColor := col_up else histColor := color.new(col_up, 50) else // 하락 추세일 때: 히스토그램이 직전보다 커지면(덜 음수면) 연한색, 작아지면 진한색 if hist < hist histColor := color.new(col_dn, 50) else histColor := col_dn plot(hist, title="Histogram", style=plot.style_columns, color=histColor) // 4.5 기준선 hline(0, "Zero Line", color=color.gray, linestyle=hline.style_dotted)
Pine Script®策略
由Kingjmaes提供
james S/R Trend Pro v6//@version=6 strategy("james S/R Trend Pro v6", overlay=true, initial_capital=10000, default_qty_type=strategy.percent_of_equity, default_qty_value=100, commission_type=strategy.commission.percent, commission_value=0.05, slippage=1) // --- 사용자 입력 (Inputs) --- group_date = "1. 백테스트 기간" start_date = input.time(timestamp("2024-01-01 00:00:00"), "시작일", group=group_date) end_date = input.time(timestamp("2026-12-31 23:59:59"), "종료일", group=group_date) is_within_date = time >= start_date and time <= end_date group_main = "2. 지표 설정 (S/R & Trend)" lookback_sr = input.int(15, "지지/저항 탐색 기간", minval=5, group=group_main) atr_period = input.int(14, "ATR 기간", group=group_main) atr_mult = input.float(3.5, "추세선 민감도", step=0.1, group=group_main) group_color = "3. 다크모드 색상 설정" trend_up_color = input.color(color.rgb(200, 200, 200), "상승 추세선 (밝은 회색)", group=group_color) trend_down_color = input.color(color.rgb(255, 255, 255), "하락 추세선 (흰색)", group=group_color) res_color = input.color(#ff1100, "저항선 (네온 레드)", group=group_color) sup_color = input.color(#00e1ff, "지지선 (네온 사이언)", group=group_color) // --- 데이터 처리 (Calculations) --- // 1. 추세선 (검은색 배경용 고대비 설정) = ta.supertrend(atr_mult, atr_period) // 2. 지지/저항선 (피벗 기반) ph = ta.pivothigh(high, lookback_sr, lookback_sr) pl = ta.pivotlow(low, lookback_sr, lookback_sr) var float res_line = na var float sup_line = na if not na(ph) res_line := high if not na(pl) sup_line := low // --- 전략 로직 (Condition) --- long_condition = direction < 0 and ta.crossover(close, sup_line) short_condition = direction > 0 and ta.crossunder(close, res_line) // --- 주문 실행 (Execution) --- if is_within_date if long_condition strategy.entry("Long", strategy.long, comment="BUY") if short_condition strategy.entry("Short", strategy.short, comment="SHORT") // 청산 로직 if strategy.position_size > 0 strategy.exit("TP-L", "Long", limit=res_line, qty_percent=50, comment="분할익절") if ta.crossunder(close, trend_line) strategy.close("Long", comment="추세이탈") if strategy.position_size < 0 strategy.exit("TP-S", "Short", limit=sup_line, qty_percent=50, comment="분할익절") if ta.crossover(close, trend_line) strategy.close("Short", comment="추세이탈") // --- 시각화 (Visualization - 다크 모드 최적화) --- // 1. 추세선: 검은 배경에서 잘 보이도록 하얀색/회색 계열 사용 plot(trend_line, color=direction < 0 ? trend_up_color : trend_down_color, linewidth=2, title="Trend Line") // 2. 지지/저항선: 네온 컬러로 시인성 극대화 plot(res_line, color=color.new(res_color, 0), style=plot.style_linebr, linewidth=2, title="Resistance") plot(sup_line, color=color.new(sup_color, 0), style=plot.style_linebr, linewidth=2, title="Support") // 3. 진입 시그널 라벨 plotshape(long_condition, style=shape.triangleup, location=location.belowbar, color=sup_color, size=size.small, title="Buy Label") plotshape(short_condition, style=shape.triangledown, location=location.abovebar, color=res_color, size=size.small, title="Short Label") // 4. 추세 배경색 (매우 옅게 설정하여 캔들을 방해하지 않음) fill_color = direction < 0 ? color.new(sup_color, 90) : color.new(res_color, 90) fill(plot(trend_line), plot(close), color=fill_color, title="Trend Fill")
Pine Script®策略
由Kingjmaes提供
10x Multi-Timeframe SMA Suite📊 Professional Multi-Timeframe Simple Moving Average Indicator Track up to 10 independent Simple Moving Averages from different timeframes on a single chart with full customization control. ✨ KEY FEATURES: - 10 independent SMA lines - Individual timeframe selection for each SMA (Daily, Weekly, Monthly, 4H, 1H, etc.) - Flexible source options (Close, Open, High, Low, HL2, HLC3, OHLC4) - Fully customizable colors - Adjustable line thickness (1-5) - Toggle on/off for each SMA - Clean and intuitive interface - Optimized for performance 🎯 DEFAULT SETTINGS: First 4 SMAs are enabled by default: - SMA 1: 200-period Daily (Red) - SMA 2: 50-period Weekly (Blue) - SMA 3: 100-period Weekly (Green) - SMA 4: 200-period Weekly (Orange) Additional 6 SMAs are ready to activate and customize as needed! 💡 PERFECT FOR: - Multi-timeframe trend analysis - Support and resistance level identification - Long-term and short-term momentum tracking - Professional traders who need multiple MAs simultaneously ⚡ Simple to use, powerful in functionality - All your moving averages in one indicator!
Pine Script®指標
由seventhlegend提供
Daily Relative Strength (Daily Update)📊 Daily Relative Strength Rank Table (Crypto / Multi-Asset) This indicator provides a daily relative strength ranking of multiple assets using normalized percentage returns (Z-Scores). It is designed to help traders quickly identify which tokens are outperforming or underperforming the group, both today (live) and yesterday (finalized). 🔍 How It Works Each asset’s daily percentage return is calculated from the daily close. Returns are then normalized (Z-score) across the selected group, showing how far each asset deviates from the group average. Assets are ranked from strongest to weakest based on today’s normalized score. 📈 Table Columns Rank – Relative position vs other assets (higher = stronger) Token – Asset symbol Today Z – Live, intraday relative strength (updates in real time) Yday Z – Frozen relative strength from the previous daily close The Yesterday score does not repaint and remains constant throughout the day, allowing for clear comparison between today’s performance and the prior session. 🎯 Why Use This Indicator? Quickly spot leaders and laggards Compare assets on a percent-based, normalized scale Avoid price bias (low-price and high-price assets are treated equally) Ideal for rotation strategies, momentum trading, and market strength analysis ⚙️ Customization All symbols can be changed directly in the indicator settings Works on any timeframe (daily logic is handled internally) Designed for crypto, but works with stocks, forex, or indices 🧠 Best Use Cases Identifying top outperformers Confirming trend continuation Comparing sector or basket strength Improving timing and capital allocation decisions
Pine Script®指標
由Mr_Thomas_Shelby提供
VWAP --S/W/M/Q/Y-- (mk)VWAP — S / W / M / Q / Y (mk) This indicator plots multi-timeframe anchored VWAPs on a single chart, allowing you to view Session, Weekly, Monthly, Quarterly, and Yearly VWAPs simultaneously, each with optional standard-deviation bands. It is designed for traders who use VWAP as a fair value reference across multiple market horizons and want higher-timeframe context without switching charts. 🔹 What it shows Session VWAP (daily reset) Weekly VWAP Monthly VWAP Quarterly VWAP Yearly VWAP Each VWAP can be enabled or disabled individually. 🔹 VWAP Bands For every VWAP, the indicator can optionally plot: ±1 standard deviation ±2 standard deviations ±3 standard deviations These bands help identify: Overextended price moves Mean-reversion zones Higher-timeframe support and resistance 🔹 Key Features True anchored VWAP using volume-weighted calculations Automatic resets based on timeframe changes Clean, color-coded levels for each timeframe Independent visibility controls for each VWAP and its bands Works on any market and timeframe with volume data 🔹 How to use it Use higher-timeframe VWAPs (Monthly / Quarterly / Yearly) as major bias and balance levels Use Session and Weekly VWAPs for intraday execution and mean-reversion setups Combine VWAP confluence across timeframes for high-probability zones Watch price behavior around ±1 / ±2 / ±3 bands for acceptance or rejection
Pine Script®指標
由eliteeways提供
ZigZag ATR PctZigZag ATR % Library A PineScript v6 library for detecting price pivots based on ATR percentage change (volatility shifts) rather than fixed ATR multiples. How It Works Traditional ZigZag indicators use a fixed price threshold to detect pivots. This library takes a different approach: pivots are detected when volatility is changing significantly . The ATR % change measures how much the Average True Range has shifted over a lookback period: atrPct = 100 * (atr / atr - 1) Positive ATR % = Volatility expanding (market becoming more volatile) Negative ATR % = Volatility contracting (market calming down) Pivots form when |ATR %| exceeds your threshold, capturing turning points during volatility transitions. Exported Types Settings - Configuration (ATR length, lookback, threshold, display options) Pivot - Pivot point data (price, time, direction, volume, ATR %) ZigZag - Main state container Exported Functions newInstance(settings) - Create a new ZigZag instance update(zz, atr, atrPct) - Update on each bar getLastPivot(zz) - Get the most recent pivot getPivot(zz, index) - Get pivot at specific index getPivotCount(zz) - Get total number of pivots calcTR() - Calculate True Range calcATR(length) - Calculate ATR using EMA calcATRPct(atr, atrPrev) - Calculate ATR % change calcPricePct(startPrice, endPrice) - Calculate price % change Usage Example //@version=6 indicator("My ZigZag", overlay = true) import DeepEntropy/ZigZagATRPct/1 as zz // Settings var zz.Settings settings = zz.Settings.new( atrLength = 14, atrLookback = 14, atrPctThreshold = 5.0, depth = 10 ) var zz.ZigZag zigZag = zz.newInstance(settings) // Calculate ATR % float atr = zz.calcATR(14) float atrPct = zz.calcATRPct(atr, atr ) // Update zigZag := zz.update(zigZag, atr, atrPct) // Access pivots int count = zz.getPivotCount(zigZag) if count > 0 zz.Pivot last = zz.getLastPivot(zigZag) label.new(last.point, text = str.tostring(last.atrPct, "#.##") + "%") Parameters ATR Length - Period for ATR calculation (default: 14) ATR Lookback - Bars to look back for ATR % change (default: 14) ATR % Threshold - Minimum |ATR %| to trigger pivot detection (default: 5.0) Depth - Minimum bars between pivots (default: 10) Use Cases Identify reversals during volatility regime changes Filter noise during low-volatility consolidation Detect breakout pivots when volatility expands Build volatility-aware trading systems This library detects when the market's behavior is changing, not just how much price has moved.
Pine Script®腳本庫
由DeepEntropy提供