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Liquidity Trap Strategy - ATR OptimizedLiquidity Trap Strategy – Optimized Version 1. Overview The Liquidity Trap Strategy is a high-probability price action trading system designed to exploit “trapped buyers or sellers” around key levels from the previous trading day. Markets: Works on any market (Forex, Crypto, Futures, Indices, Stocks) Timeframes: Designed for 15-minute (15m) and 1-hour (1H) charts Trading Style: “Hunter” style — trades may not happen every day, but setups are high-probability Trade Frequency: Only first trade per day is taken for simplicity and high quality 2. Key Components a) Daily Levels Previous Day High (PDH) and Previous Day Low (PDL) are automatically calculated using the prior day’s bar. These are drawn as anchored horizontal lines, extending to the current day. PDH/PDL act as key support/resistance zones — areas where liquidity is often trapped. b) Trap Concept The strategy is based on the “liquidity trap” principle: Buyer Trap (Short Entry): Price breaks above the previous day high (PDH) → buyers think price will continue higher. Price reverses immediately below PDH, trapping aggressive buyers above the key level. This creates selling pressure, giving an opportunity to enter short. Seller Trap (Long Entry): Price breaks below the previous day low (PDL) → sellers think price will continue lower. Price reverses immediately above PDL, trapping aggressive sellers below the key level. This creates buying pressure, giving an opportunity to enter long. The key idea: trapped traders cause the market to move in the opposite direction of the breakout, creating high-probability moves. c) Trade Execution Logic Buyer Trap / Short Entry: Condition: high > PDH AND close < PDH AND no trade taken yet today Entry: Short at the close of the trap candle Stop Loss: ATR-based above the trap candle high to avoid minor wick stops Take Profit: 2:1 Risk-to-Reward ratio Seller Trap / Long Entry: Condition: low < PDL AND close > PDL AND no trade taken yet today Entry: Long at the close of the trap candle Stop Loss: ATR-based below the trap candle low Take Profit: 2:1 Risk-to-Reward ratio Only the first trap trade of the day is allowed to avoid overtrading. d) Risk Management Stop-Loss (SL): ATR-based to account for market volatility Ensures the trade survives minor wick sweeps without being stopped out prematurely Take-Profit (TP): Fixed 2:1 R:R relative to SL Ensures each winning trade outweighs potential losses Trade Frequency: Only first trade per day is allowed, making it highly selective and reducing noise 3. Visual Features PDH/PDL Lines: Anchored to previous day, extend into current day, color-coded: PDH → Green PDL → Red Trade Labels: Placed on the trap candle: Short → Red label “Short” Long → Green label “Long” The visual markers make it easy to identify exactly where the trap occurred and the trade was triggered. 4. How the Strategy Works – Step by Step Example for Short (Buyer Trap): Market opens, PDH/PDL from yesterday are drawn. Price spikes above PDH → some buyers enter expecting breakout continuation. Price immediately closes back below PDH, trapping buyers. The strategy enters short at the close of the reversal candle. SL: placed above the trap candle using ATR to give room TP: calculated as 2x the risk (distance from entry to SL) Trade executes — first trade of the day. Any further trap signals today are ignored. Example for Long (Seller Trap): Price drops below PDL → some sellers enter. Price immediately closes back above PDL, trapping sellers. Strategy enters long at the close of the reversal candle. SL: below trap candle using ATR TP: 2:1 R:R Trade executes — only first trade of the day. 5. Why This Strategy Works Exploits liquidity zones: Markets often hunt stops above PDH or below PDL. High-probability reversals: Trapped traders create strong counter moves. ATR SL: avoids being stopped by minor market noise or wick spikes. Selective trading: Only first trade per day → reduces overtrading and noise. Clear visual markers: Makes manual observation and confirmation easy. 6. Key Tips for Traders Best on high-volume instruments like Forex majors, indices, or crypto pairs with decent liquidity. Works well on 15m and 1H charts — 15m allows quicker signals, 1H filters noise. Avoid trading around major news releases — traps can behave differently during high volatility events. Always backtest and use the ATR SL — never reduce SL too much, otherwise stops will trigger before the real move. ✅ Summary: The Liquidity Trap Strategy identifies trapped buyers/sellers using previous day highs/lows. It uses ATR-adapted stops and 2:1 R:R TP. Only first trade per day is executed, reducing false signals. Anchored PDH/PDL lines and labels make trade opportunities clear. This system is low-frequency, high-probability, focusing on trading smart rather than frequently.
Chiến lược Pine Script®
của Danish7421
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")
Chiến lược Pine Script®
của james130625
1
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)
Chiến lược Pine Script®
của james130625
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)
Chiến lược Pine Script®
của james130625
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")
Chiến lược Pine Script®
của james130625
TJR asia session sweep//@version=5 strategy("TJR asia session sweep", "TJR Asia Sweep", overlay=true, max_lines_count=500, max_labels_count=500) // Input settings show_asian = input.bool(true, "Show Asian Session", group="Visual Settings") show_london = input.bool(true, "Show London Session", group="Visual Settings") show_swing_points = input.bool(true, "Show Asian Swing Points", group="Visual Settings") show_market_structure = input.bool(true, "Show Market Structure", group="Visual Settings") show_bos = input.bool(true, "Show Break of Structure", group="Visual Settings") // Session Time Settings asian_start_hour_input = input.int(22, "Asian Session Start Hour", minval=0, maxval=23, group="Session Times") asian_end_hour_input = input.int(3, "Asian Session End Hour", minval=0, maxval=23, group="Session Times") london_start_hour_input = input.int(3, "London Session Start Hour", minval=0, maxval=23, group="Session Times") london_end_hour_input = input.int(8, "London Session End Hour", minval=0, maxval=23, group="Session Times") session_timezone = input.string("America/New_York", "Session Timezone", options= , group="Session Times") // Risk Management Settings use_atr_sl = input.bool(false, "Use ATR Multiplier for Stop Loss", group="Risk Management") atr_length = input.int(14, "ATR Length", minval=1, maxval=50, group="Risk Management") atr_multiplier = input.float(2.0, "ATR Multiplier for Stop Loss", minval=0.5, maxval=10.0, group="Risk Management") force_london_close = input.bool(true, "Force Close at London Session End", group="Risk Management") cutoff_minutes = input.int(60, "Minutes Before Session End to Stop New Trades", minval=0, maxval=300, group="Risk Management") // Position Sizing Settings position_sizing_method = input.string("USD Risk", "Position Sizing Method", options= , group="Position Sizing") usd_risk_per_trade = input.float(100.0, "USD Risk Per Trade", minval=1.0, maxval=10000.0, group="Position Sizing") fixed_contracts = input.float(1.0, "Fixed Number of Contracts", minval=0.01, maxval=1000.0, step=0.01, group="Position Sizing") // Color settings asian_color = input.color(color.red, "Asian Session Color") london_color = input.color(color.blue, "London Session Color") swing_high_color = input.color(color.orange, "Swing High Color") swing_low_color = input.color(color.lime, "Swing Low Color") bullish_structure_color = input.color(color.green, "Bullish Structure Color") bearish_structure_color = input.color(color.red, "Bearish Structure Color") bos_color = input.color(color.orange, "Break of Structure Color") // Line settings line_width = input.int(2, "Line Width", minval=1, maxval=5) // ATR calculation for stop loss atr = ta.atr(atr_length) // Position size calculation function calculate_position_size(entry_price, stop_loss_price) => var float position_size = na if position_sizing_method == "Fixed Contracts" position_size := fixed_contracts else // USD Risk method stop_distance = math.abs(entry_price - stop_loss_price) if stop_distance > 0 // Calculate position size based on USD risk per trade // For forex: position_size = risk_amount / (stop_distance * point_value) // For most forex pairs, point value = 1 (since we're dealing with price differences directly) position_size := usd_risk_per_trade / stop_distance else position_size := fixed_contracts // Fallback to fixed contracts if stop distance is 0 position_size // Session time definitions (using input variables) asian_start_hour = asian_start_hour_input asian_end_hour = asian_end_hour_input london_start_hour = london_start_hour_input london_end_hour = london_end_hour_input // Get current hour using selected timezone current_hour = hour(time, session_timezone) // Previous hour for transition detection prev_hour = hour(time , session_timezone) // Session transition detection asian_start = current_hour == asian_start_hour and prev_hour != asian_start_hour asian_end = current_hour == asian_end_hour and prev_hour != asian_end_hour london_start = current_hour == london_start_hour and prev_hour != london_start_hour london_end = current_hour == london_end_hour and prev_hour != london_end_hour // Session activity detection asian_active = (current_hour >= asian_start_hour) or (current_hour < asian_end_hour) london_active = (current_hour >= london_start_hour) and (current_hour < london_end_hour) // Session boxes - keep previous sessions visible var box asian_session_box = na var box london_session_box = na // Create Asian session box if show_asian and asian_start // Create new box at session start (previous box remains visible) asian_session_box := box.new(bar_index, high, bar_index + 1, low, border_color=asian_color, bgcolor=color.new(asian_color, 90), border_width=2, border_style=line.style_solid) // Pre-calculate session highs and lows for consistency asian_session_length = asian_active and not na(asian_session_box) ? bar_index - box.get_left(asian_session_box) + 1 : 1 current_asian_high = ta.highest(high, asian_session_length) current_asian_low = ta.lowest(low, asian_session_length) // Update Asian session box continuously during session if show_asian and asian_active and not na(asian_session_box) box.set_right(asian_session_box, bar_index) // Update box to contain session highs and lows box.set_top(asian_session_box, current_asian_high) box.set_bottom(asian_session_box, current_asian_low) // Create London session box if show_london and london_start // Create new box at session start (previous box remains visible) london_session_box := box.new(bar_index, high, bar_index + 1, low, border_color=london_color, bgcolor=color.new(london_color, 90), border_width=2, border_style=line.style_solid) // Pre-calculate London session highs and lows for consistency london_session_length = london_active and not na(london_session_box) ? bar_index - box.get_left(london_session_box) + 1 : 1 current_london_high = ta.highest(high, london_session_length) current_london_low = ta.lowest(low, london_session_length) // Update London session box continuously during session if show_london and london_active and not na(london_session_box) box.set_right(london_session_box, bar_index) // Update box to contain session highs and lows box.set_top(london_session_box, current_london_high) box.set_bottom(london_session_box, current_london_low) // Asian Session Swing Points Detection var float asian_session_high = na var float asian_session_low = na var int asian_high_bar = na var int asian_low_bar = na // Asian Session Absolute High/Low for TP levels var float asian_absolute_high = na var float asian_absolute_low = na var line asian_high_line = na var line asian_low_line = na var label asian_high_label = na var label asian_low_label = na var bool high_broken = false var bool low_broken = false // London Session High/Low tracking for stop loss var float london_session_high = na var float london_session_low = na // Market structure tracking variables var string breakout_direction = na // "bullish" or "bearish" var float last_hh_level = na // Last Higher High level var float last_hl_level = na // Last Higher Low level var float last_ll_level = na // Last Lower Low level var float last_lh_level = na // Last Lower High level var int structure_count = 0 var string last_structure_type = na // "HH", "HL", "LL", "LH" // Legacy variables for compatibility var float last_swing_high = na var float last_swing_low = na var int last_high_bar = na var int last_low_bar = na // Market structure state tracking var float pending_high = na var float pending_low = na var int pending_high_bar = na var int pending_low_bar = na var bool waiting_for_confirmation = false // Break of Structure tracking variables var float most_recent_hl = na var float most_recent_lh = na var int most_recent_hl_bar = na var int most_recent_lh_bar = na var bool bos_detected = false // Trading variables var bool trade_taken = false // Trade visualization boxes (based on Casper strategy approach) var box current_profit_box = na var box current_sl_box = na // Update swing points during Asian session if asian_active and show_swing_points // Always track absolute high/low for both TP levels and breakout detection if na(asian_absolute_high) or high > asian_absolute_high asian_absolute_high := high if na(asian_absolute_low) or low < asian_absolute_low asian_absolute_low := low // Use absolute high/low for breakout levels (simplified logic) if na(asian_session_high) or high > asian_session_high asian_session_high := high asian_high_bar := bar_index if na(asian_session_low) or low < asian_session_low asian_session_low := low asian_low_bar := bar_index // Track London session high/low for stop loss levels if london_active if na(london_session_high) or high > london_session_high london_session_high := high if na(london_session_low) or low < london_session_low london_session_low := low // Draw initial lines when Asian session ends if asian_end and show_swing_points if not na(asian_session_high) and not na(asian_high_bar) // Draw extending line for high asian_high_line := line.new(asian_high_bar, asian_session_high, bar_index + 200, asian_session_high, color=swing_high_color, width=2, style=line.style_dashed, extend=extend.right) asian_high_label := label.new(bar_index + 5, asian_session_high, "Asian High: " + str.tostring(asian_session_high, "#.####"), style=label.style_label_left, color=swing_high_color, textcolor=color.white, size=size.small) if not na(asian_session_low) and not na(asian_low_bar) // Draw extending line for low asian_low_line := line.new(asian_low_bar, asian_session_low, bar_index + 200, asian_session_low, color=swing_low_color, width=2, style=line.style_dashed, extend=extend.right) asian_low_label := label.new(bar_index + 5, asian_session_low, "Asian Low: " + str.tostring(asian_session_low, "#.####"), style=label.style_label_left, color=swing_low_color, textcolor=color.white, size=size.small) // Reset break flags for new session high_broken := false low_broken := false // Check for breakouts during London session if london_active and show_swing_points and not na(asian_session_high) and not na(asian_session_low) // Check if Asian high is broken if not high_broken and not low_broken and high > asian_session_high high_broken := true // Update high line to end at break point if not na(asian_high_line) line.set_x2(asian_high_line, bar_index) line.set_extend(asian_high_line, extend.none) // Remove the low line (first break wins) if not na(asian_low_line) line.delete(asian_low_line) if not na(asian_low_label) label.delete(asian_low_label) // Add break marker label.new(bar_index, asian_session_high * 1.001, "HIGH BREAK!", style=label.style_label_down, color=color.red, textcolor=color.white, size=size.normal) // Set breakout direction and initialize structure tracking breakout_direction := "bullish" last_swing_high := asian_session_high last_swing_low := asian_session_low last_high_bar := bar_index structure_count := 0 // Check if Asian low is broken if not low_broken and not high_broken and low < asian_session_low low_broken := true // Update low line to end at break point if not na(asian_low_line) line.set_x2(asian_low_line, bar_index) line.set_extend(asian_low_line, extend.none) // Remove the high line (first break wins) if not na(asian_high_line) line.delete(asian_high_line) if not na(asian_high_label) label.delete(asian_high_label) // Add break marker label.new(bar_index, asian_session_low * 0.999, "LOW BREAK!", style=label.style_label_up, color=color.red, textcolor=color.white, size=size.normal) // Set breakout direction and initialize structure tracking breakout_direction := "bearish" last_swing_high := asian_session_high last_swing_low := asian_session_low last_low_bar := bar_index structure_count := 0 // Stop extending lines when London session ends (if not already broken) if london_end and show_swing_points if not high_broken and not na(asian_high_line) line.set_x2(asian_high_line, bar_index) line.set_extend(asian_high_line, extend.none) if not low_broken and not na(asian_low_line) line.set_x2(asian_low_line, bar_index) line.set_extend(asian_low_line, extend.none) // Force close all trades at London session end (if enabled) if london_end and force_london_close if strategy.position_size != 0 // Extend boxes immediately before session close to prevent timing issues if not na(current_profit_box) // Ensure minimum 8 bars width or extend to current bar, whichever is longer box_left = box.get_left(current_profit_box) min_right = box_left + 8 final_right = math.max(min_right, bar_index) box.set_right(current_profit_box, final_right) current_profit_box := na // Clear reference after extending if not na(current_sl_box) // Ensure minimum 8 bars width or extend to current bar, whichever is longer box_left = box.get_left(current_sl_box) min_right = box_left + 8 final_right = math.max(min_right, bar_index) box.set_right(current_sl_box, final_right) current_sl_box := na // Clear reference after extending strategy.close_all(comment="London Close") trade_taken := false // Reset trade flag for next session // Market structure detection after breakout (only during London session and before first BoS) if show_market_structure and not na(breakout_direction) and london_active and not bos_detected // Bullish structure tracking (HH, HL alternating) if breakout_direction == "bullish" // Check for Higher High pattern: Bullish candle followed by bearish candle pattern_high = math.max(high , high) prev_hh = na(last_hh_level) ? last_swing_high : last_hh_level // HH Detection: Only if we expect HH next (no last structure or last was HL) if (na(last_structure_type) or last_structure_type == "HL") and close > open and close < open and pattern_high > prev_hh and close > prev_hh // Check consolidation is_too_close = not na(last_high_bar) and (bar_index - last_high_bar) <= 4 should_create_hh = true if is_too_close and structure_count > 0 and pattern_high <= last_hh_level should_create_hh := false if should_create_hh structure_count := structure_count + 1 label.new(bar_index - 1, high + (high * 0.0003), "HH" + str.tostring(structure_count), style=label.style_none, color=color.new(color.white, 100), textcolor=color.white, size=size.small) last_hh_level := pattern_high last_swing_high := pattern_high last_high_bar := bar_index last_structure_type := "HH" // HL Detection: Only if we expect HL next (last was HH) pattern_low = math.min(low , low) prev_hl = na(last_hl_level) ? last_swing_low : last_hl_level if last_structure_type == "HH" and close < open and close > open and pattern_low > prev_hl and close > prev_hl // Check consolidation is_too_close = not na(last_low_bar) and (bar_index - last_low_bar) <= 4 should_create_hl = true if is_too_close and pattern_low <= last_hl_level should_create_hl := false if should_create_hl structure_count := structure_count + 1 label.new(bar_index - 1, low - (low * 0.0003), "HL" + str.tostring(structure_count), style=label.style_none, color=color.new(color.white, 100), textcolor=color.white, size=size.small) last_hl_level := pattern_low most_recent_hl := pattern_low // Update most recent HL for BoS detection most_recent_hl_bar := bar_index - 1 // Store HL bar position last_low_bar := bar_index last_structure_type := "HL" // Bearish structure tracking (LL, LH alternating) if breakout_direction == "bearish" // Check for Lower Low pattern: Bearish candle followed by bullish candle pattern_low = math.min(low , low) prev_ll = na(last_ll_level) ? last_swing_low : last_ll_level // LL Detection: Only if we expect LL next (no last structure or last was LH) if (na(last_structure_type) or last_structure_type == "LH") and close < open and close > open and pattern_low < prev_ll and close < prev_ll // Check consolidation is_too_close = not na(last_low_bar) and (bar_index - last_low_bar) <= 4 should_create_ll = true if is_too_close and structure_count > 0 and pattern_low >= last_ll_level should_create_ll := false if should_create_ll structure_count := structure_count + 1 label.new(bar_index - 1, low - (low * 0.0003), "LL" + str.tostring(structure_count), style=label.style_none, color=color.new(color.white, 100), textcolor=color.white, size=size.small) last_ll_level := pattern_low last_swing_low := pattern_low last_low_bar := bar_index last_structure_type := "LL" // LH Detection: Only if we expect LH next (last was LL) pattern_high = math.max(high , high) prev_lh = na(last_lh_level) ? last_swing_high : last_lh_level if last_structure_type == "LL" and close > open and close < open and pattern_high < prev_lh and close < prev_lh // Check consolidation is_too_close = not na(last_high_bar) and (bar_index - last_high_bar) <= 4 should_create_lh = true if is_too_close and pattern_high >= last_lh_level should_create_lh := false if should_create_lh structure_count := structure_count + 1 label.new(bar_index - 1, high + (high * 0.0003), "LH" + str.tostring(structure_count), style=label.style_none, color=color.new(color.white, 100), textcolor=color.white, size=size.small) last_lh_level := pattern_high most_recent_lh := pattern_high // Update most recent LH for BoS detection most_recent_lh_bar := bar_index - 1 // Store LH bar position last_high_bar := bar_index last_structure_type := "LH" // Check if we're within the cutoff period before London session end current_minute = minute(time, session_timezone) london_end_time_minutes = london_end_hour * 60 // Convert London end hour to minutes current_time_minutes = current_hour * 60 + current_minute // Current time in minutes // Calculate minutes remaining in London session london_session_minutes_remaining = london_end_time_minutes - current_time_minutes // Handle day rollover case (e.g., if london_end is 8:00 (480 min) and current is 23:30 (1410 min)) if london_session_minutes_remaining < 0 london_session_minutes_remaining := london_session_minutes_remaining + (24 * 60) // Add 24 hours in minutes // Only allow trades if more than cutoff_minutes remaining in London session allow_new_trades = london_session_minutes_remaining > cutoff_minutes // Break of Structure (BoS) Detection and Trading Logic - Only first BoS per London session and outside cutoff period if show_bos and london_active and show_market_structure and not bos_detected and not trade_taken and allow_new_trades // Bullish BoS: Price closes below the most recent HL (after bullish breakout) - SELL SIGNAL if breakout_direction == "bullish" and not na(most_recent_hl) and not na(most_recent_hl_bar) // Check minimum distance requirement (at least 4 candles between BoS and HL) if close < most_recent_hl and (bar_index - most_recent_hl_bar) >= 4 // Draw dotted line from HL position to BoS point line.new(most_recent_hl_bar, most_recent_hl, bar_index, most_recent_hl, color=bos_color, width=2, style=line.style_dotted, extend=extend.none) // Calculate center position for BoS label center_bar = math.round((most_recent_hl_bar + bar_index) / 2) // Draw BoS label below the line for HL break label.new(center_bar, most_recent_hl - (most_recent_hl * 0.0005), "BoS", style=label.style_none, color=color.new(color.white, 100), textcolor=bos_color, size=size.normal) // SELL ENTRY if not na(london_session_high) and not na(asian_absolute_low) // Calculate stop loss based on settings stop_loss_level = use_atr_sl ? close + (atr * atr_multiplier) : london_session_high take_profit_level = asian_absolute_low entry_price = close // Calculate position size based on user settings position_size = calculate_position_size(entry_price, stop_loss_level) strategy.entry("SELL", strategy.short, qty=position_size, comment="BoS Sell") strategy.exit("SELL EXIT", "SELL", stop=stop_loss_level, limit=take_profit_level, comment="SL/TP") // Create trade visualization boxes (TradingView style) - minimum 8 bars width // Blue profit zone box (from entry to take profit) current_profit_box := box.new(left=bar_index, top=take_profit_level, right=bar_index + 8, bottom=entry_price, bgcolor=color.new(color.blue, 70), border_width=0) // Red stop loss zone box (from entry to stop loss) current_sl_box := box.new(left=bar_index, top=entry_price, right=bar_index + 8, bottom=stop_loss_level, bgcolor=color.new(color.red, 70), border_width=0) trade_taken := true bos_detected := true // Mark BoS as detected for this session // Bearish BoS: Price closes above the most recent LH (after bearish breakout) - BUY SIGNAL if breakout_direction == "bearish" and not na(most_recent_lh) and not na(most_recent_lh_bar) // Check minimum distance requirement (at least 4 candles between BoS and LH) if close > most_recent_lh and (bar_index - most_recent_lh_bar) >= 4 // Draw dotted line from LH position to BoS point line.new(most_recent_lh_bar, most_recent_lh, bar_index, most_recent_lh, color=bos_color, width=1, style=line.style_dotted, extend=extend.none) // Calculate center position for BoS label center_bar = math.round((most_recent_lh_bar + bar_index) / 2) // Draw BoS label above the line for LH break label.new(center_bar, most_recent_lh + (most_recent_lh * 0.0005), "BoS", style=label.style_none, color=color.new(color.white, 100), textcolor=bos_color, size=size.normal) // BUY ENTRY if not na(london_session_low) and not na(asian_absolute_high) // Calculate stop loss based on settings stop_loss_level = use_atr_sl ? close - (atr * atr_multiplier) : london_session_low take_profit_level = asian_absolute_high entry_price = close // Calculate position size based on user settings position_size = calculate_position_size(entry_price, stop_loss_level) strategy.entry("BUY", strategy.long, qty=position_size, comment="BoS Buy") strategy.exit("BUY EXIT", "BUY", stop=stop_loss_level, limit=take_profit_level, comment="SL/TP") // Create trade visualization boxes (TradingView style) - minimum 8 bars width // Blue profit zone box (from entry to take profit) current_profit_box := box.new(left=bar_index, top=entry_price, right=bar_index + 8, bottom=take_profit_level, bgcolor=color.new(color.blue, 70), border_width=0) // Red stop loss zone box (from entry to stop loss) current_sl_box := box.new(left=bar_index, top=stop_loss_level, right=bar_index + 8, bottom=entry_price, bgcolor=color.new(color.red, 70), border_width=0) trade_taken := true bos_detected := true // Mark BoS as detected for this session // Position close detection for extending boxes (based on Casper strategy) if barstate.isconfirmed and strategy.position_size == 0 and strategy.position_size != 0 // Extend trade visualization boxes to exact exit point when position closes if not na(current_profit_box) // Ensure minimum 8 bars width or extend to current bar, whichever is longer box_left = box.get_left(current_profit_box) min_right = box_left + 8 final_right = math.max(min_right, bar_index) box.set_right(current_profit_box, final_right) current_profit_box := na // Clear reference after extending if not na(current_sl_box) // Ensure minimum 8 bars width or extend to current bar, whichever is longer box_left = box.get_left(current_sl_box) min_right = box_left + 8 final_right = math.max(min_right, bar_index) box.set_right(current_sl_box, final_right) current_sl_box := na // Clear reference after extending // Backup safety check - extend boxes if position is closed but boxes still active if not na(current_profit_box) and strategy.position_size == 0 box_left = box.get_left(current_profit_box) min_right = box_left + 8 final_right = math.max(min_right, bar_index) box.set_right(current_profit_box, final_right) current_profit_box := na if not na(current_sl_box) and strategy.position_size == 0 box_left = box.get_left(current_sl_box) min_right = box_left + 8 final_right = math.max(min_right, bar_index) box.set_right(current_sl_box, final_right) current_sl_box := na // Reset everything when new Asian session starts if asian_start and show_swing_points asian_session_high := na asian_session_low := na asian_high_bar := na asian_low_bar := na // Reset absolute levels asian_absolute_high := na asian_absolute_low := na asian_high_line := na asian_low_line := na asian_high_label := na asian_low_label := na high_broken := false low_broken := false // Reset London session levels london_session_high := na london_session_low := na // Reset market structure tracking breakout_direction := na last_hh_level := na last_hl_level := na last_ll_level := na last_lh_level := na last_swing_high := na last_swing_low := na last_high_bar := na last_low_bar := na structure_count := 0 last_structure_type := na pending_high := na pending_low := na pending_high_bar := na pending_low_bar := na waiting_for_confirmation := false // Reset BoS tracking most_recent_hl := na most_recent_lh := na most_recent_hl_bar := na most_recent_lh_bar := na bos_detected := false // Reset trading trade_taken := false // Reset current trade boxes current_profit_box := na current_sl_box := na // Debug info (optional) show_debug = input.bool(false, "Show Debug Info") if show_debug var table debug_table = table.new(position.top_right, 2, 3, bgcolor=color.white, border_width=1) if barstate.islast table.cell(debug_table, 0, 0, "Current Hour:", text_color=color.black) table.cell(debug_table, 1, 0, str.tostring(current_hour), text_color=color.black) table.cell(debug_table, 0, 1, "Asian Active:", text_color=color.black) table.cell(debug_table, 1, 1, str.tostring((current_hour >= asian_start_hour) or (current_hour < asian_end_hour)), text_color=color.black) table.cell(debug_table, 0, 2, "London Active:", text_color=color.black) table.cell(debug_table, 1, 2, str.tostring((current_hour >= london_start_hour) and (current_hour < london_end_hour)), text_color=color.black)
Chiến lược Pine Script®
của Elliodoh
yaman short longThis indicator provides clear Long and Short signals to help traders identify potential market direction and trading opportunities with higher confidence. It is designed to follow price momentum and trend strength, allowing traders to enter trades when the market shows clear directional bias. The indicator focuses on clean signals and avoids unnecessary noise, making it suitable for both beginners and experienced traders. Key Features: Clear Long and Short signals displayed on the chart Helps identify potential trend continuation and reversals Designed to reduce false signals during choppy market conditions Suitable for scalping, intraday, and swing trading Works across multiple markets and timeframes How to Use: Long Signal: Indicates potential upward movement when bullish conditions align Short Signal: Indicates potential downward movement when bearish conditions align Best used with proper stop-loss and risk management rules Can be combined with support/resistance or higher timeframe confirmation Best Markets: Forex pairs Gold (XAUUSD) Cryptocurrencies Indices Notes: Signals are generated after candle close The indicator does not repaint This tool is meant to assist decision-making, not guarantee profits
Chiến lược Pine Script®
của yamanrawashdeh3
EMA + VWAP Strategy# EMA + VWAP Crossover Strategy ## Overview This is a trend-following intraday strategy that combines fast and slow EMAs with VWAP to identify high-probability entries. It's designed primarily for 5-15 minute charts and includes a smart filter to avoid trading when VWAP is ranging flat. ## How It Works ### Core Concept The strategy uses three main components working together: - **Fast EMA (9)** - Responds quickly to price changes and generates entry signals - **Slow EMA (21)** - Acts as a trend filter to keep you on the right side of the market - **VWAP** - Serves as a dynamic support/resistance level and the primary trigger for entries ### Entry Rules **Long Entry:** - EMA 9 crosses above VWAP (bullish momentum) - EMA 9 is above EMA 21 (confirming uptrend) - VWAP has a clear directional slope (not flat/ranging) - Only during weekdays (Monday-Friday) **Short Entry:** - EMA 9 crosses below VWAP (bearish momentum) - EMA 9 is below EMA 21 (confirming downtrend) - VWAP has a clear directional slope (not flat/ranging) - Only during weekdays (Monday-Friday) ### The VWAP Flat Filter One of the key features is the VWAP slope filter. When VWAP is moving sideways (flat), it indicates the market is likely consolidating or ranging. The strategy skips these periods because crossover signals tend to be less reliable in choppy conditions. You'll see small gray diamonds at the top of the chart when VWAP is considered flat. ### Risk Management The strategy uses a proper risk-reward approach with multiple stop loss options: 1. **ATR-Based (Recommended)** - Adapts to market volatility automatically. Default is 1.5x ATR(14), which gives your trades room to breathe while protecting capital. 2. **Swing Low/High** - Places stops at recent price structure points for a more technical approach. 3. **Slow EMA** - Uses the trend-defining EMA as your stop level, good for trend-following with wider stops. 4. **Fixed Percentage** - Simple percentage-based stops if you prefer consistency. Take profits are automatically calculated based on your risk-reward ratio (default 2:1), meaning if you risk $100, you're aiming to make $200. ### Weekday Trading Filter The strategy includes an option to trade only Monday through Friday. This is particularly useful for crypto markets where weekend liquidity can be thin and price action more erratic. You can toggle this on/off to test whether avoiding weekends improves your results. ### Visual Features - **Color-coded background** - Green tint when EMA 9 is above EMA 21 (bullish bias), red tint when below (bearish bias) - **ATR bands** - Dotted lines showing where stops would be placed (when using ATR stops) - **Active trade levels** - Solid red line for your stop loss, green line for your take profit when you're in a position - **Weekend highlighting** - Gray background on Saturdays and Sundays when weekday filter is active ## Best Practices **Timeframe:** Designed for 5-minute charts but can be adapted to other intraday timeframes. **Markets:** Works on any liquid market - stocks, forex, crypto, futures. Just make sure there's enough volume. **Position Sizing:** The strategy uses percentage of equity by default. Adjust based on your risk tolerance. **Backtesting Tips:** - Test with and without the weekday filter to see which performs better on your instrument - Try different ATR multipliers (1.0-2.5) to find the sweet spot between stop-outs and letting profits run - Experiment with risk-reward ratios (1.5R, 2R, 3R) to optimize for your win rate **What to Watch:** - Win rate vs. profit factor balance - How many trades are filtered out by the VWAP flat condition - Performance difference between weekdays and weekends - Whether the trend filter (EMA 21) is keeping you out of bad trades ## Parameters You Can Adjust - Fast EMA length (default 9) - Slow EMA length (default 21) - VWAP flat threshold (default 0.01%) - Stop loss type and parameters - Risk-reward ratio - Weekday trading on/off - ATR length and multiplier ## Disclaimer This strategy is for educational purposes. Past performance doesn't guarantee future results. Always test thoroughly on historical data and paper trade before risking real money. Use proper position sizing and never risk more than you can afford to lose. --- *Built with Pine Script v5 for TradingView*
Chiến lược Pine Script®
của cryptocu84
Big Trend Catcher: Dual-Gate EMA & ATR Trailing Swing TraderThe Big Trend Catcher: Long-Only Progressive Swing System OVERVIEW The Big Trend Catcher is a high-conviction, long-only swing trading strategy designed to identify and ride sustained market moves. Unlike traditional trend-following systems that often get "chopped out" during sideways consolidation, this strategy utilizes a Dual-Gate Filter to ensure you only enter when short-term momentum and the long-term trend are in total alignment. It is specifically tuned for high-growth stocks and ETFs where capturing the lion’s share of a multi-week or multi-month move is the primary objective. CORE LOGIC: THE DUAL-GATE SYSTEM To maintain a high quality of entries, the strategy requires a "confirmed launch" through two distinct filters: The Momentum Gate (20 EMA): Identifies immediate price acceleration and volume-backed impulse. The Long-Term Gate (100 EMA): Acts as the ultimate trend filter. The script utilizes a "Signal Memory" logic—if an impulse happens while price is still below the 100 EMA, the trade is held in a "Pending" state. The entry only triggers once the price closes firmly above the 100 EMA. Goal: This prevents "bottom fishing" in established downtrends and keeps you in cash during sideways "death loops" when the long-term direction is unclear. KEY FEATURES 1. Progressive Pyramiding (Scale-In) The biggest profits in swing trading are often made by adding to winners. This system features two automated scale-in triggers: Velocity Adds (VOLC): Adds to the position if the stock is up >10% and moving with rising momentum, allowing you to build a larger position as the trend proves its strength. Pullback Adds: Adds to the position when the price tests the 20 EMA and holds, allowing you to buy the "dip" within a healthy uptrend. 2. The Phoenix Re-Entry This logic is designed to catch "V-shaped" recoveries. If the strategy exits on a trend break but the price aggressively reclaims the 20 EMA on massive volume shortly after, it re-enters the trade. This ensures you aren't left behind during the second leg of a major run after a temporary shakeout. 3. Iron-Floor ATR Exit We use a 3.5x ATR Trailing Stop combined with the 100 EMA. This wider-than-average "breathing room" is designed to keep you in for significant gains while ignoring the minor daily volatility that often shakes out traders with tighter stops. HOW TO USE Best Timeframes: Daily (D) is recommended for identifying major cycles, but it can be applied to the 4-Hour (4H) for more active swing trading. Settings: * 20 EMA: Your short-term momentum guide. * 100 EMA: Your long-term trend guide. * ATR Multiplier: Set to 3.5 for maximum "trend hugging." SUMMARY OF VISUALS Blue Line (100 EMA): The Long-Term Trend. Yellow Line (20 EMA): The Short-Term Momentum. Red Stepped Line: Your ATR Trailing Floor (The "Iron Floor"). Lime Triangle: Initial Trade Entry. Blue/Orange Shapes: Progressive Scale-in points.
Chiến lược Pine Script®
của LegalxSeagull
ATR + BB Swing StrategyMechanical daily stock swing strategy using ATR stops, Heikin Ashi trend confirmation, and Bollinger Bands context. Entries occur above 50 SMA on bullish Heikin Ashi candles; initial stop is 3xATR with trailing stop of highest close minus 2xAtr, reducing to 1.5xATR when profit protection triggers (+2R and momentum weakening). Exits are fully ATR-based, giving a simple, rules-driven approach to ride trends while protecting gains
Chiến lược Pine Script®
của ycornelius1
Tick-Tock (UT Bot Alert + Linear Regression Candles)The video stated to use LineReg Candels indicator combined with UT Bot Alerts Setting the inputs to the defvalues i've setted setting the chart on heiken ashi and a 30m interval Have in mind to follow indicator signals as a strategy, the confirmation of the signal and the entry happen in the next open. entering always late, yes but never failing and with automation possibilities. no fakouts real backtest as proven by the backtest this is not a good strategy! i should make a ticktok strategies series to disprove them Always backtest strategies published in ticktock! www.facebook.com if you have more strategies from ticktok you want dissproven hit me.
Chiến lược Pine Script®
của MrPencilBox
4
GOLD TERTIUM estrategiaThis indicator is a visual tool for TradingView designed to help you read trend structure using EMAs and highlight potential long and short entries on the MGC 1‑minute chart, while filtering pullbacks and avoiding trades when the 200 EMA is flat. ​ It calculates five EMAs (32, 50, 110, 200, 250) and plots them in different colors so you can clearly see the moving‑average stack and overall direction. The main trend is defined by the 200 EMA: bullish when price and the fast EMAs (32 and 50) are above it with a positive slope, and bearish when they are below it with a negative slope; if the 200 EMA is almost flat, signals are blocked to reduce trading in choppy markets.
Chiến lược Pine Script®
của bkfeuer326
Strict EMA Wick Pullback Trend ContinuationThis script is a strict EMA pullback entry model designed exclusively for trend continuation traders. It does NOT attempt to predict tops or bottoms. It waits for established trends and enters only on shallow pullbacks with defined risk. OVERVIEW This strategy is built for disciplined trend continuation trading. It looks for shallow pullbacks into a fast EMA during established uptrends and exits when trend structure breaks. There is no counter-trend logic and no optimization for win rate. ENTRY LOGIC A long entry is triggered when: • Price pulls back into the fast EMA area (wick touch) • The pullback remains above the slow EMA (trend integrity) • The candle closes bullish • Optional: slow EMA is rising (trend filter) RISK MANAGEMENT • A dynamic stop is placed just below the fast EMA • The stop only tightens — it never loosens • Losses are small and predefined • The system is designed to be scaled via position sizing EXIT LOGIC • Positions are closed when the fast EMA crosses below the slow EMA • This represents a breakdown of trend continuation structure WHAT THIS STRATEGY IS • A trend continuation entry module • Risk-first by design • Low win-rate, high payoff profile • Designed for trending markets WHAT THIS STRATEGY IS NOT • Not a reversal system • Not a scalping strategy • Not a signal service • Not optimized for ranging markets • Not a promise of profitability IMPORTANT NOTES • Long-only by design (BTC context) • No repainting logic • Best used with higher-timeframe trend confirmation • This is a tool, not financial advice Recommended markets: BTCUSD / BTCUSDT Timeframe: 1D Trend filter: ON Risk: fixed % per trade (user-defined)
Chiến lược Pine Script®
của SystemsOverFeelings
1
RSI-RS StrategyRSI-RS Strategy: Smart Trend Following 🚀 Overview This strategy combines Multi-Timeframe RSI with Mansfield Relative Strength to identify high-momentum breakouts in strong stocks. Unlike standard RSI strategies, it features a "Smart Trailing Stop" that tightens when momentum weakens but respects key RSI 50 support levels to avoid shaking you out of winning trades. Key Features ✨ 1. 🎯 High-Probability Entries Multi-Confirmations: Requires Monthly RSI > 60 and Weekly RSI > 60 (Trend is Up). Dual Trigger: Enters on a Daily RSI Breakout (>60) OR a Weekly RSI Catch-up, ensuring you don't miss late moves. RS Filter: Only buys stocks outperforming the Index (RS > 0). New Listing Safe: Automatically skips Monthly checks for new IPOs lacking history. 2. 🛡️ Advanced "Hybrid" Stop Loss This strategy solves the "Wick Out" problem: Confirmation Exit: If price drops below the Stop Loss, it waits for the Next Candle to confirm the breakdown. It ignores intraday wicks! Crash Protection: Includes a "Panic Button" (Default 3% buffer). If price crashes rapidly intraday, it exits immediately to save capital. Smart Trailing: The Stop Loss moves UP when RSI shows weakness (<60), locking in profits. 3. 🧠 Smart Support Buffer Wait for 50: Uniquely detects when RSI is resting on 50 Support (Zone 50-55). Patience: It ignores minor weakness signals in this zone, waiting for a bounce instead of exiting prematurely. 4. 🧹 Clean Visuals Minimalist Labels: Transparent Entry/Exit labels that don't declutter the chart. Setup Watch: Visually signals "Watch > " before the trade triggers. Transparency: "SL Update" diamonds prove exactly why the stop moved (showing the RSI value). Settings Guide ⚙️ Confirmation Window: How many bars the breakout remains valid (Default: 2). RSI Support Buffer: The "Safe Zone" range above 50 (Default: 5). Crash Buffer %: Distance below SL for immediate emergency exit (Default: 3.0%). Visuals: Toggle Setup Labels and SL Diamonds on/off to keep your chart clean. How to Trade It Green Background: You are in a trade. Red Line: Your Hard Stop Loss (Closing Basis). Maroon Dotted Line: Your Crash Limit (Intraday Danger Zone). Orange Diamond: Warning! RSI Weakness detected, SL has tightened. Disclaimer Backtested on Indian Equities (NSE). Designed for Swing Trading on Daily Timeframe. Always manage your own risk.
Chiến lược Pine Script®
của sandeepgoyal194
1
Quality-Controlled Trend StrategyOverview This strategy demonstrates a clean, execution-aware trend framework with fully isolated risk management. Entry conditions and risk logic are intentionally separated so risk parameters can be adjusted without altering signal behavior. All calculations are evaluated on confirmed bars to ensure backtest behavior reflects real-time execution. Design intent Many scripts mix entries and exits in ways that make results fragile or misleading. This strategy focuses on structural clarity by enforcing: confirmed-bar logic only fixed and transparent risk handling consistent indicator calculations one position at a time It is intended as a baseline framework rather than an optimized system. Trading logic (high level) Trend context EMA 50 vs EMA 200 defines directional bias Entry Price alignment with EMA 50 RSI used as a momentum confirmation, not as an overbought/oversold signal Risk management Stop-loss based on ATR Fixed risk–reward structure Risk logic is isolated from entry logic Editing risk without affecting signals All stop-loss and take-profit calculations are handled in a dedicated block. Users can adjust: ATR length stop-loss multiplier risk–reward ratio without modifying entry conditions. This allows controlled experimentation while preserving signal integrity. Usage notes Results vary by market, timeframe, and volatility conditions. This script is provided for testing and educational purposes and should be validated across multiple symbols and forward-tested before use in live environments.
Chiến lược Pine Script®
của AIScripts
Kadunagra-Pivot Point SuperTrend-trades analysis 📊 Pivot Point SuperTrend Strategy (MA-Filtered, 100% Equity) This strategy is a trend-following system that combines Pivot Point–based SuperTrend logic with a higher-timeframe Moving Average filter and percentage-based risk control. --- 🔹 Core Logic 1️⃣ Trend Detection (Pivot Point SuperTrend) Uses pivot highs and lows to calculate a dynamic center line Builds ATR-based upper and lower bands Determines market trend: Bullish trend when price breaks above the trailing band Bearish trend when price breaks below the trailing band Trend changes generate: Buy signal → trend flips from bearish to bullish Sell signal → trend flips from bullish to bearish --- 2️⃣ Moving Average Trend Filter (User-Selectable) A single Moving Average is used as a higher-timeframe confirmation User can select the MA type from a dropdown: SMA, EMA, WMA, VWMA, RMA, or HMA Trade rules: Long trades only when price is above the selected MA Short trades only when price is below the selected MA This helps avoid counter-trend trades and improves signal quality. --- 3️⃣ Trade Execution & Position Sizing Strategy uses 100% of account equity per trade No pyramiding Long and short trades are handled symmetrically --- 4️⃣ Risk Management (Percentage Stop-Loss) Uses a fixed percentage stop-loss Stop-loss is calculated from the actual entry price: Long SL → Entry Price − SL% Short SL → Entry Price + SL% Ensures consistent risk control across all trades --- ⏱ Recommended Timeframe & Market ✅ Default / Optimized Use Case Timeframe: 4-Hour (4H) Market: BTC (Bitcoin) MA Length (default): 200 EMA ATR Factor & Period: Tuned for swing-style trend moves These default parameters are best suited for 4H BTC based on trend behavior and volatility. --- ⚙️ Customization & Flexibility All parameters are fully adjustable and can be optimized for: Different timeframes (1H, Daily, etc.) Other cryptocurrencies or markets More aggressive or conservative risk profiles You can modify: Pivot period ATR factor & period MA type and length Stop-loss percentage --- 🧠 Strategy Style Summary ✔ Trend-following ✔ MA-filtered confirmation ✔ No repaint logic ✔ Works best in trending markets ✔ Suitable for swing trading
Chiến lược Pine Script®
của kadunagra