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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")
استراتيجية Pine Script®
من ‎Kingjmaes‎
Open Range BreakoutOpen Range Breakout is a volatility harvesting tool designed to exploit directional expansion following major market opens. It isolates price action during initial liquidity injections to project institutional-grade zones that define a session's structural bias. Core Methodology The script uses a time-anchored engine to map critical supply and demand boundaries: Anchor Identification: The algorithm captures the absolute High and Low within a user-defined window at the start of Tokyo, London, or New York sessions. Structural Projection: It generates a Neutrality Box. A breach via candle close signals the transition from consolidation to expansion. Mathematical Risk Modeling: Upon breakout, it calculates a 3:1 Risk-Reward framework based on fixed percentage volatility. Session Dynamics The system is optimized for the global liquidity cycle: Session 1 (Asia): Maps early-day consolidation and range-bound liquidity. Session 2 (Europe): Captures the London Move to identify the trend. Session 3 (US): Analyzes high-volume New York opens for maximum momentum. Key Features Dynamic Price Mitigation: TP/SL zones stop extending the moment price touches the target or invalidation level to keep charts clean. Volatility-Adjusted Levels: Stop Loss parameters are normalized to price percentage for consistency across Indices, Forex, or Crypto. Minimalist Interface: Professional aesthetic with high-contrast visual cues for instant scannability. Use Cases Momentum Trading: Identifying the Origin of the Move post-open. Mean Reversion: Recognizing failed breakouts when price returns inside the range. Quantitative Backtesting: Benchmarking 3.0 RR targets across different session anchors.
مؤشر Pine Script®
من ‎AlchimistOfCrypto‎
FranPL - Psychological LevelsIt automatically draws horizontal lines fixed to the right-hand price scale at every price level ending in 00, 20, 50, and 80. These levels are commonly watched by traders as areas where price often reacts, pauses, or reverses. The lines remain anchored to price, updating dynamically as the market moves, and stay aligned with the price scale rather than drifting with time. The indicator works across all markets and timeframes. FranPL is fully customizable through the settings, allowing the user to adjust the line color, thickness, and length, making it easy to match personal chart preferences while keeping the chart clean and uncluttered. Overall, FranPL provides a clear, consistent visual framework for identifying important psychological levels to support entries, exits, and risk management.
مؤشر Pine Script®
من ‎jlfschoe‎
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)
استراتيجية Pine Script®
من ‎Kingjmaes‎
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")
استراتيجية Pine Script®
من ‎Kingjmaes‎
Institutional Scanner FixHere is a professional Pine Script (Version 5) for TradingView. It is optimized to precisely identify the "Absorption" and "Reversal" signals. What this script does for you: Auto-Fibonacci: It automatically calculates the 0.618 Golden Ratio of the last 50 candles. Volume Delta Check: It calculates the delta (buy volume minus sell volume) per candle. Signal: It marks a "Buy Absorption" when the price touches the 0.618 level but the delta turns positive (green arrow). The Volume Multiplier is your scanner's "sensitivity knob." It determines how much more volume compared to the average must flow for a signal to be classified as institutionally relevant. Here is the bank standard for calibration, based on your trading strategy and the asset's liquidity: The rule-of-thumb values for the multiplier Strategy Type | Recommended Value | Logic Conservative (High Conviction) | 2.0 to 2.5 | Only extreme volume spikes are marked. Good for swing trades on a daily basis. Standard (Day Trading) | 1.5 to 1.8 | The "sweet spot." Marks volume that is approximately 50-80% above average. Aggressive (Scalping) | 1.2 to 1.3 | Reacts very quickly to small order flow changes but produces more "noise" (false signals).
مؤشر Pine Script®
من ‎karakrypto‎
1
Range Fade Strategy [RFS v2]Range Fade Strategy By Meet Patel Total Trades — Number of completed trades Win Rate — Percentage of winning trades Win/Loss Count — Breakdown of results Profit Factor — Gross profit ÷ Gross loss (>1.5 is good) Average Win/Loss — Mean profit vs loss per trade Expectancy — Expected value per trade Max Drawdown — Largest equity decline Net P&L — Total profit/loss in currency Return % — Percentage return on initial capital
مؤشر Pine Script®
من ‎oxaam479‎
Big Trades [Volume Anomalies] (Enhanced)The script is a **volume-anomaly “big trades” detector** for futures that tries to (1) split each candle’s volume into a **buy-pressure** and **sell-pressure** estimate, (2) flag **statistically extreme** candles (tiers), and (3) optionally label those extremes as **initiative (follow-through)** vs **absorbed (no follow-through)** using a forward-style confirmation window. Here’s what it does, piece by piece. --- ## 1) What it’s trying to detect It’s not true “whale prints” or real bid/ask delta. It detects: * **unusually large participation** (volume anomaly) * with a **directional guess** (buy-ish vs sell-ish) * and then checks whether price **continued** after that anomaly So it’s: **“big participation + did it work?”** --- ## 2) The “buy vs sell volume” estimate For each candle, it builds a **weight** for buy and sell pressure: * **close location within the candle** * close near high → more buy weight * close near low → more sell weight * **body direction (close–open)** * bullish body adds buy boost * bearish body adds sell boost Then it computes: * `raw_buy = volume * buy_weight` * `raw_sell = volume * sell_weight` This is an **OHLC-based proxy** for pressure, not real aggressor volume. --- ## 3) Normalization (makes it behave across sessions) If enabled, it divides by ATR: * `norm_buy = raw_buy / ATR` * `norm_sell = raw_sell / ATR` This helps a lot on futures because volume/volatility regimes differ between Asia/London/NY. --- ## 4) Statistical anomaly detection (z-score logic) It calculates “what’s normal” using the last `lookback` bars, but **uses ` `** so the current bar doesn’t contaminate the stats (reduces flicker): * `avg_buy = sma(norm_buy, lookback) ` * `std_buy = stdev(norm_buy, lookback) ` (and same for sell) Then it computes **z-scores**: * `z_buy = (norm_buy - avg_buy) / std_buy` * `z_sell = (norm_sell - avg_sell) / std_sell` If z-score crosses thresholds, it triggers tiers: * Tier 1: `sigma` * Tier 2: `sigma + tier_step1` * Tier 3: `sigma + tier_step2` So **Tier 3 = “big bubble”**. --- ## 5) Optional VWAP bias filter It computes VWAP correctly as: * `vwapv = ta.vwap(hlc3)` If enabled: * buys only when `close >= vwap` * sells only when `close <= vwap` This is just a **trend/bias filter** to reduce counter-trend bubbles. --- ## 6) Plotting (how bubbles appear) It places markers at: * buys around `(close+low)/2` (lower-ish) * sells around `(close+high)/2` (upper-ish) And draws: * small/medium/large circles (depending on tier) * with optional INIT/ABS overlays (explained next) --- ## 7) “Initiative vs Absorbed” classification (the smart part) Because Pine can’t see the future on the same bar, your script does a **delayed evaluation**: * It waits `N = confirm_bars` * Looks at what happened from the signal bar to the current bar * Decides if price moved far enough in the intended direction It uses: * `hh_window = highest(high, N+1)` * `ll_window = lowest(low, N+1)` (these cover the last N+1 bars: from signal bar to now) Then it measures follow-through: * For a buy signal N bars ago: `buy_move = hh_window - high ` * For a sell signal N bars ago: `sell_move = low - ll_window` It compares to an ATR-based threshold anchored to the signal bar: * `thr_move_sig = ATR * move_mult_atr` If move > threshold → **INIT** Else → **ABS** Then it **plots back onto the original signal bar** using `offset=-N` so it visually marks the candle that caused it. To make it obvious: * **INIT** = circle * **ABS** = X This part is “accurate” in the sense that it’s purely **price-outcome based**. --- ## 8) Labels (optional) If enabled, it prints labels on those large signals with: * INIT/ABS * the z-score at the signal bar * and a “delta proxy” (`norm_buy - norm_sell`), not true delta --- ## In one sentence The script flags **statistically extreme volume-pressure candles** (buy/sell proxy), and then classifies those extremes as **worked (initiative)** or **failed (absorbed)** based on **subsequent price movement** within `confirm_bars`.
مؤشر Pine Script®
من ‎alcomeho‎
Apex Wallet - Ultimate Trading Suite: All-In-One Overlay & SignaOverview The Apex Wallet All-In-One is a comprehensive professional trading toolkit designed to centralize every essential technical analysis tool directly onto your main price chart. Instead of cluttering your workspace with dozens of separate indicators, this script integrates trend analysis, volatility bands, automated chart patterns, and a multi-indicator signal engine into a single, cohesive interface. Key Modular Features: Trend Core: Features dynamic trend curves, cloud fills for momentum visualization, and a multi-timeframe dashboard (1m to 4h) to ensure you are always trading with the higher-timeframe bias. Automated Chart Structures: Automatically detects and plots Support/Resistance levels, Standard Pivot Points, Market Gaps, and Fair Value Gaps (Imbalances). Volatility & Volume: Includes professional-grade VWAP with standard deviation bands, Bollinger Bands, and a built-in Volume Delta (Raw/Net) tracker. Signal Engine: A powerful cross-logic system that generates entry signals based on RSI (QQE), MACD (Zero-cross & Relance), Stochastic, TDI, and the Andean Oscillator. Predictive Projections: A unique feature that projects current indicator slopes into future candles to help anticipate potential trend continuations or reversals. Adaptability The script includes three core presets—Scalping, Day-Trading, and Swing-Trading—which automatically adjust all internal periods (Moving Averages, Bollinger, RSI, etc.) to match your specific market speed. Visual Cleanliness Every feature is toggleable. You can display a "clean" chart with just the Trend Cloud or a "complete" workstation with signals, patterns (Doji, Engulfing), and pivot levels
مؤشر Pine Script®
من ‎sylvain_coutsier‎
COMD - Candle Coloring Logic V2 Custom KAMA Ribbon is an early-stage trend analysis system built around five adaptive moving averages stacked into a ribbon that colors price candles in real time. It was created by xqweasdzxcv during a phase of aggressive strategy experimentation, back when throwing clever math at the market still felt like it might solve everything (spoiler alert, it did, and all the world will see soon in the following few years). The tool visualizes shifting trend strength through adaptive smoothing, giving a cleaner read than standard moving averages, but it eventually got outclassed by more advanced, structure-driven models. This version survives as a fossil from the evolutionary path of project Patron (the Core Of My Desire is just a base). It still matters, not because it is the best, but because this is part of a true legend and because it shows how adaptive moving average stacking was used to build smarter trend filters before the really serious weapons came online.
مؤشر Pine Script®
من ‎xqweasdzxcv‎
Clean Bull Flag Finder (Box Style + Strength) 📈 Bull Flag Detector — Price Action Continuation Tool Bull Flag Detector is a lightweight price-action indicator designed to automatically identify bull flag continuation structures in real time. It helps traders spot consolidation phases that form after strong upward impulses and visually frame potential continuation areas — without relying on lagging oscillators. This tool is built for traders who prefer clean charts, structure-based analysis, and context over signals. 🔶 WHAT THIS INDICATOR DOES The indicator continuously scans price action to detect: A strong bullish impulse (flagpole) A controlled pullback or consolidation (flag) A structured range that respects trend continuation characteristics When a valid bull flag structure is detected, the indicator highlights the pattern directly on the chart.
مؤشر Pine Script®
من ‎AlgoLevel‎