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Supertrend + RSI Positional StrategyOVERVIEW This is a long-only, rule-based positional trading strategy designed for stocks, ETFs, and indices, with a primary focus on higher timeframes (1H and above). The strategy combines: Trend direction via Supertrend Momentum confirmation via RSI An optional ADX filter to ensure sufficient trend strength The logic is intentionally kept simple, transparent, and non-repainting, making it suitable for both learning and practical positional analysis. Core Idea The strategy aims to participate only in sustained directional moves, avoiding choppy or low-momentum conditions. Trades are taken only when trend and momentum align, and exits are handled using clearly defined, user-selectable rules. There is no prediction involved — only confirmation. Entry Logic (Long Only) A long position is considered when all of the following conditions are met: Supertrend is bullish RSI is above the bullish threshold (default: 50) (Optional) ADX is above the ADX threshold (default: 20) The ADX filter is optional and can be enabled or disabled by the user. When enabled, it is used only for entry filtering and plays no role in exits. Exit Logic (User Selectable) Exit behavior can be adapted to different trading styles using the following options: Supertrend OR RSI Exit when either trend reverses or momentum weakens Supertrend ONLY Exit strictly on trend reversal RSI ONLY Exit when momentum drops below the threshold Supertrend AND RSI Exit only when both conditions are met This flexibility allows users to choose between faster exits or more trend-following behavior. Trade Management Long-only strategy One position at a time No pyramiding No intrabar execution logic Manual trade-state handling ensures consistent behavior across: Stocks ETFs Indices (including cash indices) The strategy logic is evaluated on confirmed bar closes only, ensuring non-repainting behavior. Visual Features BUY / EXIT labels plotted only on the first confirmation candle Independent customization for BUY and EXIT label position, color, and offset Optional background highlighting while a trade is active RSI and ADX are not plotted, keeping the chart clean and uncluttered Recommended Usage Timeframes: 1H, 2H, 4H, Daily Markets: Stocks, ETFs, Indices Style: Positional / Swing trading This strategy is not intended for scalping or very low timeframes. Open & Transparent This script is published in open-source form to encourage learning and experimentation. Users are free to study the logic, adjust parameters, and understand how a simple trend-plus-momentum positional approach is constructed. IMPORTANT NOTES This is a rule-based analytical tool, not a signal service No performance claims or guarantees are made Results will vary depending on market conditions and parameter choices Users are encouraged to understand the logic before applying it to live markets
Pine Script® stratejisi
subrajitmishra tarafından
1
james S/R Trend Pro v6//@version=6 strategy("jaems_MACD+RSI ", shorttitle="jaems_MACD+RSI ", overlay=false, initial_capital=10000, currency=currency.USD, default_qty_type=strategy.percent_of_equity, default_qty_value=10, commission_type=strategy.commission.percent, commission_value=0.05, calc_on_every_tick=false) // ============================================================================= // 1. 설정 (Inputs) // ============================================================================= group_macd = "📊 MACD 설정" fastLen = input.int(12, "Fast Length", group=group_macd) slowLen = input.int(26, "Slow Length", group=group_macd) sigLen = input.int(9, "Signal Smoothing", group=group_macd) src = input.source(close, "Source", group=group_macd) group_col = "🎨 시각화 색상" col_up = input.color(color.new(#00E676, 0), "상승 (Neon Green)", group=group_col) col_dn = input.color(color.new(#FF1744, 0), "하락 (Red)", group=group_col) col_sig = input.color(color.new(#FFEA00, 0), "Signal 기본색", group=group_col) // ============================================================================= // 2. 계산 (Calculations) // ============================================================================= fastMA = ta.ema(src, fastLen) slowMA = ta.ema(src, slowLen) macd = fastMA - slowMA signal = ta.ema(macd, sigLen) hist = macd - signal // 교차 확인 (Crossovers) bool crossUp = ta.crossover(macd, signal) bool crossDn = ta.crossunder(macd, signal) // 추세 상태 확인 bool isBullish = macd >= signal // ============================================================================= // 3. 전략 실행 (Execution) // ============================================================================= if crossUp strategy.entry("Long", strategy.long) if crossDn strategy.entry("Short", strategy.short) // ============================================================================= // 4. 시각화 (Visualization) - 수정된 부분 // ============================================================================= // 4.1 MACD 라인 색상 동적 변경 color macdDynamicColor = isBullish ? col_up : col_dn // 4.2 라인 그리기 plot(macd, title="MACD Line", color=macdDynamicColor, linewidth=2) plot(signal, title="Signal Line", color=col_sig, linewidth=1) // 4.3 교차점 도트 (Thick Dots) - 괄호 오류 방지를 위해 명시적 변수 할당 float dotLevelUp = crossUp ? signal : na float dotLevelDn = crossDn ? signal : na plot(dotLevelUp, title="Golden Cross Dot", style=plot.style_circles, color=col_up, linewidth=5) plot(dotLevelDn, title="Dead Cross Dot", style=plot.style_circles, color=col_dn, linewidth=5) // 4.4 히스토그램 색상 (오류 수정: 중첩 삼항연산자 제거 -> if-else 변환) color histColor = na if isBullish // 상승 추세일 때: 히스토그램이 직전보다 커지면 진한색, 작아지면 연한색 if hist < hist histColor := col_up else histColor := color.new(col_up, 50) else // 하락 추세일 때: 히스토그램이 직전보다 커지면(덜 음수면) 연한색, 작아지면 진한색 if hist < hist histColor := color.new(col_dn, 50) else histColor := col_dn plot(hist, title="Histogram", style=plot.style_columns, color=histColor) // 4.5 기준선 hline(0, "Zero Line", color=color.gray, linestyle=hline.style_dotted)
Pine Script® stratejisi
Kingjmaes tarafından
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.
Pine Script® stratejisi
Danish7421 tarafından
jaems_Combo: StochRSI + MACD + ADX [QuantDev]//@version=6 strategy("jaems_Combo: StochRSI + MACD + ADX ", overlay=false, initial_capital=10000, currency=currency.USD, commission_type=strategy.commission.percent, commission_value=0.05, slippage=1) // ========================================== // 1. 사용자 입력 (User Inputs) // ========================================== // grp_time = "Backtest Period" useDateFilter = input.bool(true, "기간 필터 적용", group=grp_time) startDate = input.time(timestamp("2023-01-01 00:00"), "시작일", group=grp_time) endDate = input.time(timestamp("2099-12-31 23:59"), "종료일", group=grp_time) inDateRange = not useDateFilter or (time >= startDate and time <= endDate) // grp_stoch = "1. Stochastic RSI Settings" stoch_len = input.int(14, "RSI Length", group=grp_stoch) stoch_k = input.int(3, "K", group=grp_stoch) stoch_d = input.int(3, "D", group=grp_stoch) rsi_len = input.int(14, "Stochastic Length", group=grp_stoch) // grp_macd = "2. MACD Settings (Normalized)" macd_fast = input.int(12, "Fast Length", group=grp_macd) macd_slow = input.int(26, "Slow Length", group=grp_macd) macd_sig = input.int(9, "Signal Length", group=grp_macd) macd_norm_len = input.int(100, "Normalization Lookback", group=grp_macd) // grp_adx = "3. ADX Settings" adx_len = input.int(14, "ADX Smoothing", group=grp_adx) di_len = input.int(14, "DI Length", group=grp_adx) adx_thresh = input.int(25, "ADX Threshold", group=grp_adx) // grp_risk = "4. Risk Management" stopLossPct = input.float(2.0, "손절매 (Stop Loss %)", step=0.1, group=grp_risk) / 100 takeProfitPct = input.float(4.0, "익절매 (Take Profit %)", step=0.1, group=grp_risk) / 100 // - 신규 추가 (Alert Configuration) grp_alert = "5. Alert Configuration" msg_long_entry = input.string("Long Entry Triggered", "Long 진입 메시지", group=grp_alert) msg_short_entry = input.string("Short Entry Triggered", "Short 진입 메시지", group=grp_alert) msg_long_exit = input.string("Long Position Closed", "Long 청산 메시지", group=grp_alert) msg_short_exit = input.string("Short Position Closed", "Short 청산 메시지", group=grp_alert) // ========================================== // 2. 데이터 처리 및 지표 계산 // ========================================== // Stoch RSI rsi_val = ta.rsi(close, rsi_len) k = ta.sma(ta.stoch(rsi_val, rsi_val, rsi_val, stoch_len), stoch_k) d = ta.sma(k, stoch_d) // ADX = ta.dmi(di_len, adx_len) // Normalized MACD (0~100 Scale) = ta.macd(close, macd_fast, macd_slow, macd_sig) highest_macd = ta.highest(macd_line, macd_norm_len) lowest_macd = ta.lowest(macd_line, macd_norm_len) // 분모가 0이 되는 예외 처리 denom = (highest_macd - lowest_macd) norm_macd = denom != 0 ? (macd_line - lowest_macd) / denom * 100 : 50 norm_signal = denom != 0 ? (macd_signal - lowest_macd) / denom * 100 : 50 // ========================================== // 3. 시각화 (Dark Mode Optimized Colors) // ========================================== color gridColor = color.new(#787B86, 50) hline(0, "Bottom", color=gridColor) hline(50, "Middle", color=gridColor, linestyle=hline.style_dotted) hline(100, "Top", color=gridColor) plot(k, "Stoch K", color=color.new(#00E5FF, 0), linewidth=1) // Neon Cyan plot(d, "Stoch D", color=color.new(#EA00FF, 0), linewidth=1) // Neon Magenta plot(adx, "ADX", color=color.new(#FFEB3B, 0), linewidth=2) hline(adx_thresh, "ADX Threshold", color=color.new(#FFEB3B, 50), linestyle=hline.style_dashed) plot(norm_macd, "Norm MACD", color=color.new(#76FF03, 60), style=plot.style_area) plot(norm_signal, "Norm Signal", color=color.new(#FF1744, 20), linewidth=1) // ========================================== // 4. 전략 로직 (Strategy Logic) - 요청하신 내용으로 전면 수정 // ========================================== // 조건: K가 D보다 크고(AND) K가 Norm Signal보다 큰 상태 bool is_bullish = (k > d) and (k > norm_signal) // 조건: K가 D보다 작고(AND) K가 Norm Signal보다 작은 상태 bool is_bearish = (k < d) and (k < norm_signal) // 진입 신호: "이전 봉에는 아니었는데, 지금 봉에서 두 조건을 동시에 만족했을 때" (돌파 순간) longCondition = is_bullish and not is_bullish shortCondition = is_bearish and not is_bearish // 주문 실행 (Confirmed Bar Only) + Alert Message 연결 if inDateRange and barstate.isconfirmed if longCondition strategy.entry("Long", strategy.long, alert_message=msg_long_entry) if shortCondition strategy.entry("Short", strategy.short, alert_message=msg_short_entry) // ========================================== // 5. 청산 및 신호 강조 (Alert Message 추가) // ========================================== if strategy.position_size > 0 strategy.exit("Long Exit", "Long", stop=strategy.position_avg_price * (1 - stopLossPct), limit=strategy.position_avg_price * (1 + takeProfitPct), alert_message=msg_long_exit) if strategy.position_size < 0 strategy.exit("Short Exit", "Short", stop=strategy.position_avg_price * (1 + stopLossPct), limit=strategy.position_avg_price * (1 - takeProfitPct), alert_message=msg_short_exit) // 배경 신호 bgcolor(longCondition ? color.new(#76FF03, 90) : na, title="Long Signal BG") bgcolor(shortCondition ? color.new(#FF1744, 90) : na, title="Short Signal BG")
Pine Script® stratejisi
Kingjmaes tarafından
jaems_Double BB[Alert]/W-Bottom/Dashboard// This Pine Script® code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org // © Kingjmaes //@version=6 strategy("jaems_Double BB /W-Bottom/Dashboard", shorttitle="jaems_Double BB /W-Bottom/Dashboard", overlay=true, commission_type=strategy.commission.percent, commission_value=0.05, slippage=1, process_orders_on_close=true) // ========================================== // 1. 사용자 입력 (Inputs) // ========================================== group_date = "📅 백테스트 기간 설정" startTime = input.time(timestamp("2024-01-01 00:00"), "시작일", group=group_date) endTime = input.time(timestamp("2099-12-31 23:59"), "종료일", group=group_date) group_bb = "📊 더블 볼린저 밴드 설정" bb_len = input.int(20, "길이 (Length)", minval=5, group=group_bb) bb_mult_inner = input.float(1.0, "내부 밴드 승수 (Inner A)", step=0.1, group=group_bb) bb_mult_outer = input.float(2.0, "외부 밴드 승수 (Outer B)", step=0.1, group=group_bb) group_w = "📉 W 바닥 패턴 설정" pivot_left = input.int(3, "피벗 좌측 봉 수", minval=1, group=group_w) pivot_right = input.int(1, "피벗 우측 봉 수", minval=1, group=group_w) group_dash = "🖥️ 대시보드 설정" show_dash = input.bool(true, "대시보드 표시", group=group_dash) comp_sym = input.symbol("NASDAQ:NDX", "비교 지수 (GS Trend)", group=group_dash, tooltip="S&P500은 'SP:SPX', 비트코인은 'BINANCE:BTCUSDT' 등을 입력하세요.") rsi_len = input.int(14, "RSI 길이", group=group_dash) group_risk = "🛡 리스크 관리" use_sl_tp = input.bool(true, "손절/익절 사용", group=group_risk) sl_pct = input.float(2.0, "손절매 (%)", step=0.1, group=group_risk) / 100 tp_pct = input.float(4.0, "익절매 (%)", step=0.1, group=group_risk) / 100 // ========================================== // 2. 데이터 처리 및 계산 (Calculations) // ========================================== // 기간 필터 inDateRange = time >= startTime and time <= endTime // 더블 볼린저 밴드 basis = ta.sma(close, bb_len) dev_inner = ta.stdev(close, bb_len) * bb_mult_inner dev_outer = ta.stdev(close, bb_len) * bb_mult_outer upper_A = basis + dev_inner lower_A = basis - dev_inner upper_B = basis + dev_outer lower_B = basis - dev_outer percent_b = (close - lower_B) / (upper_B - lower_B) // W 바닥형 (W-Bottom) - 리페인팅 방지 pl = ta.pivotlow(low, pivot_left, pivot_right) var float p1_price = na var float p1_pb = na var float p2_price = na var float p2_pb = na var bool is_w_setup = false if not na(pl) p1_price := p2_price p1_pb := p2_pb p2_price := low p2_pb := percent_b // 패턴 감지 bool cond_w = (p1_price < lower_B ) and (p2_price > p1_price) and (p2_pb > p1_pb) is_w_setup := cond_w ? true : false w_bottom_signal = is_w_setup and close > open and close > lower_A if w_bottom_signal is_w_setup := false // GS 트렌드 (나스닥 상대 강도) ndx_close = request.security(comp_sym, timeframe.period, close) rs_ratio = close / ndx_close rs_sma = ta.sma(rs_ratio, 20) gs_trend_bull = rs_ratio > rs_sma // RSI & MACD rsi_val = ta.rsi(close, rsi_len) = ta.macd(close, 12, 26, 9) macd_bull = macd_line > signal_line // ========================================== // 3. 전략 로직 (Strategy Logic) // ========================================== long_cond = (ta.crossover(close, lower_A) or ta.crossover(close, basis) or w_bottom_signal) and inDateRange and barstate.isconfirmed short_cond = (ta.crossunder(close, upper_B) or ta.crossunder(close, upper_A) or ta.crossunder(close, basis)) and inDateRange and barstate.isconfirmed // 진입 실행 및 알람 발송 if long_cond strategy.entry("Long", strategy.long, comment="Entry Long") alert("Long Entry Triggered | Price: " + str.tostring(close), alert.freq_once_per_bar_close) if short_cond strategy.entry("Short", strategy.short, comment="Entry Short") alert("Short Entry Triggered | Price: " + str.tostring(close), alert.freq_once_per_bar_close) // 청산 실행 if use_sl_tp if strategy.position_size > 0 strategy.exit("Exit Long", "Long", stop=strategy.position_avg_price * (1 - sl_pct), limit=strategy.position_avg_price * (1 + tp_pct), comment_loss="L-SL", comment_profit="L-TP") if strategy.position_size < 0 strategy.exit("Exit Short", "Short", stop=strategy.position_avg_price * (1 + sl_pct), limit=strategy.position_avg_price * (1 - tp_pct), comment_loss="S-SL", comment_profit="S-TP") // 별도 알람: W 패턴 감지 시 if w_bottom_signal alert("W-Bottom Pattern Detected!", alert.freq_once_per_bar_close) // ========================================== // 4. 대시보드 시각화 (Dashboard Visualization) // ========================================== c_bg_head = color.new(color.black, 20) c_bg_cell = color.new(color.black, 40) c_text = color.white c_bull = color.new(#00E676, 0) c_bear = color.new(#FF5252, 0) c_neu = color.new(color.gray, 30) get_trend_color(is_bull) => is_bull ? c_bull : c_bear get_pos_text() => strategy.position_size > 0 ? "LONG 🟢" : strategy.position_size < 0 ? "SHORT 🔴" : "FLAT ⚪" get_pos_color() => strategy.position_size > 0 ? c_bull : strategy.position_size < 0 ? c_bear : c_neu var table dash = table.new(position.top_right, 2, 7, border_width=1, border_color=color.gray, frame_color=color.gray, frame_width=1) if show_dash and (barstate.islast or barstate.islastconfirmedhistory) table.cell(dash, 0, 0, "METRIC", bgcolor=c_bg_head, text_color=c_text, text_size=size.small) table.cell(dash, 1, 0, "STATUS", bgcolor=c_bg_head, text_color=c_text, text_size=size.small) table.cell(dash, 0, 1, "GS Trend", bgcolor=c_bg_cell, text_color=c_text, text_halign=text.align_left, text_size=size.small) table.cell(dash, 1, 1, gs_trend_bull ? "Bullish" : "Bearish", bgcolor=c_bg_cell, text_color=get_trend_color(gs_trend_bull), text_size=size.small) rsi_col = rsi_val > 70 ? c_bear : rsi_val < 30 ? c_bull : c_neu table.cell(dash, 0, 2, "RSI (14)", bgcolor=c_bg_cell, text_color=c_text, text_halign=text.align_left, text_size=size.small) table.cell(dash, 1, 2, str.tostring(rsi_val, "#.##"), bgcolor=c_bg_cell, text_color=rsi_col, text_size=size.small) table.cell(dash, 0, 3, "MACD", bgcolor=c_bg_cell, text_color=c_text, text_halign=text.align_left, text_size=size.small) table.cell(dash, 1, 3, macd_bull ? "Bullish" : "Bearish", bgcolor=c_bg_cell, text_color=get_trend_color(macd_bull), text_size=size.small) w_status = w_bottom_signal ? "DETECTED!" : is_w_setup ? "Setup Ready" : "Waiting" w_col = w_bottom_signal ? c_bull : is_w_setup ? color.yellow : c_neu table.cell(dash, 0, 4, "W-Bottoms", bgcolor=c_bg_cell, text_color=c_text, text_halign=text.align_left, text_size=size.small) table.cell(dash, 1, 4, w_status, bgcolor=c_bg_cell, text_color=w_col, text_size=size.small) table.cell(dash, 0, 5, "Position", bgcolor=c_bg_cell, text_color=c_text, text_halign=text.align_left, text_size=size.small) table.cell(dash, 1, 5, get_pos_text(), bgcolor=c_bg_cell, text_color=get_pos_color(), text_size=size.small) last_sig = long_cond ? "BUY SIGNAL" : short_cond ? "SELL SIGNAL" : "HOLD" last_col = long_cond ? c_bull : short_cond ? c_bear : c_neu table.cell(dash, 0, 6, "Signal", bgcolor=c_bg_cell, text_color=c_text, text_halign=text.align_left, text_size=size.small) table.cell(dash, 1, 6, last_sig, bgcolor=c_bg_cell, text_color=last_col, text_size=size.small) // ========================================== // 5. 시각화 (Visualization) // ========================================== p_upper_B = plot(upper_B, "Upper B", color=color.new(color.red, 50)) p_upper_A = plot(upper_A, "Upper A", color=color.new(color.red, 0)) p_basis = plot(basis, "Basis", color=color.gray) p_lower_A = plot(lower_A, "Lower A", color=color.new(color.green, 0)) p_lower_B = plot(lower_B, "Lower B", color=color.new(color.green, 50)) fill(p_upper_B, p_upper_A, color=color.new(color.red, 90)) fill(p_lower_A, p_lower_B, color=color.new(color.green, 90)) plotshape(long_cond, title="Long", style=shape.triangleup, location=location.belowbar, color=color.green, size=size.small) plotshape(short_cond, title="Short", style=shape.triangledown, location=location.abovebar, color=color.red, size=size.small)
Pine Script® stratejisi
Kingjmaes tarafından
james S/R Trend Pro v6//@version=6 strategy("james S/R Trend Pro v6", overlay=true, initial_capital=10000, default_qty_type=strategy.percent_of_equity, default_qty_value=100, commission_type=strategy.commission.percent, commission_value=0.05, slippage=1) // --- 사용자 입력 (Inputs) --- group_date = "1. 백테스트 기간" start_date = input.time(timestamp("2024-01-01 00:00:00"), "시작일", group=group_date) end_date = input.time(timestamp("2026-12-31 23:59:59"), "종료일", group=group_date) is_within_date = time >= start_date and time <= end_date group_main = "2. 지표 설정 (S/R & Trend)" lookback_sr = input.int(15, "지지/저항 탐색 기간", minval=5, group=group_main) atr_period = input.int(14, "ATR 기간", group=group_main) atr_mult = input.float(3.5, "추세선 민감도", step=0.1, group=group_main) group_color = "3. 다크모드 색상 설정" trend_up_color = input.color(color.rgb(200, 200, 200), "상승 추세선 (밝은 회색)", group=group_color) trend_down_color = input.color(color.rgb(255, 255, 255), "하락 추세선 (흰색)", group=group_color) res_color = input.color(#ff1100, "저항선 (네온 레드)", group=group_color) sup_color = input.color(#00e1ff, "지지선 (네온 사이언)", group=group_color) // --- 데이터 처리 (Calculations) --- // 1. 추세선 (검은색 배경용 고대비 설정) = ta.supertrend(atr_mult, atr_period) // 2. 지지/저항선 (피벗 기반) ph = ta.pivothigh(high, lookback_sr, lookback_sr) pl = ta.pivotlow(low, lookback_sr, lookback_sr) var float res_line = na var float sup_line = na if not na(ph) res_line := high if not na(pl) sup_line := low // --- 전략 로직 (Condition) --- long_condition = direction < 0 and ta.crossover(close, sup_line) short_condition = direction > 0 and ta.crossunder(close, res_line) // --- 주문 실행 (Execution) --- if is_within_date if long_condition strategy.entry("Long", strategy.long, comment="BUY") if short_condition strategy.entry("Short", strategy.short, comment="SHORT") // 청산 로직 if strategy.position_size > 0 strategy.exit("TP-L", "Long", limit=res_line, qty_percent=50, comment="분할익절") if ta.crossunder(close, trend_line) strategy.close("Long", comment="추세이탈") if strategy.position_size < 0 strategy.exit("TP-S", "Short", limit=sup_line, qty_percent=50, comment="분할익절") if ta.crossover(close, trend_line) strategy.close("Short", comment="추세이탈") // --- 시각화 (Visualization - 다크 모드 최적화) --- // 1. 추세선: 검은 배경에서 잘 보이도록 하얀색/회색 계열 사용 plot(trend_line, color=direction < 0 ? trend_up_color : trend_down_color, linewidth=2, title="Trend Line") // 2. 지지/저항선: 네온 컬러로 시인성 극대화 plot(res_line, color=color.new(res_color, 0), style=plot.style_linebr, linewidth=2, title="Resistance") plot(sup_line, color=color.new(sup_color, 0), style=plot.style_linebr, linewidth=2, title="Support") // 3. 진입 시그널 라벨 plotshape(long_condition, style=shape.triangleup, location=location.belowbar, color=sup_color, size=size.small, title="Buy Label") plotshape(short_condition, style=shape.triangledown, location=location.abovebar, color=res_color, size=size.small, title="Short Label") // 4. 추세 배경색 (매우 옅게 설정하여 캔들을 방해하지 않음) fill_color = direction < 0 ? color.new(sup_color, 90) : color.new(res_color, 90) fill(plot(trend_line), plot(close), color=fill_color, title="Trend Fill")
Pine Script® stratejisi
Kingjmaes tarafından
Bar-Close Confirmed SupertrendOverview This indicator is a Supertrend-style trend follower that confirms direction changes only after a bar closes. Trend flips are determined using the previous bar’s close relative to the bands, which helps avoid intrabar changes during live candles. How it works Computes ATR (Average True Range) Builds upper/lower bands using ATR and a multiplier Updates trend direction only when a prior candle confirms a break of the band Confirmation logic (bar-close based) Trend direction is updated using conditions based on the previous candle, such as: close > upper → confirm uptrend close < lower → confirm downtrend Because signals are confirmed on the prior bar, trend changes and markers are displayed only when confirmation exists. Signals Uptrend confirmation: prior candle closes above the upper band → bullish marker Downtrend confirmation: prior candle closes below the lower band → bearish marker Inputs ATR Length (default 10) ATR Multiplier (default 3.0) Notes This script is intended for bar-close workflows. Behavior and responsiveness may differ across markets and timeframes depending on volatility and chosen settings.
Pine Script® stratejisi
AIScripts tarafından
UT Bot TP1 TP2 Optional BE 1min XAUUSD TradeThis custom trading bot is designed for scalping XAUUSD on the 1-minute timeframe. It uses a proprietary strategy combining momentum and volatility signals to identify short-term entry and exit opportunities. The bot aims to capture fast price movements while applying strict risk management rules. Optimized for high-frequency gold trading under real-time market conditions. If you want, I can also give you a more aggressive, more professional, or more simple version.
Pine Script® stratejisi
sz_tunde55 tarafından
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)
Pine Script® stratejisi
Elliodoh tarafından
RSI + Smoothed HA Strategy 🚀 RSI + SMOOTHED HEIKEN ASHI STRATEGY (TRAILING TP, 1% SL) 📊 🎯 STRATEGY OVERVIEW This professional trading strategy combines MOMENTUM ANALYSIS with TREND CONFIRMATION using two powerful technical indicators. The system executes LONG-ONLY POSITIONS when bullish conditions align, featuring AUTOMATED RISK MANAGEMENT with a fixed stop loss and dynamic trailing exit. ⚙️ CORE COMPONENTS 📈 INDICATOR 1: RELATIVE STRENGTH INDEX (RSI) CALCULATION: Standard 14-period RSI (configurable) ENTRY THRESHOLD: 55 LEVEL (adjustable parameter) PURPOSE: Identifies MOMENTUM STRENGTH and OVERBOUGHT CONDITIONS VISUAL: Blue RSI line with gray threshold level plotted separately 🕯️ INDICATOR 2: DOUBLE-SMOOTHED HEIKEN ASHI UNIQUE FEATURE: DOUBLE EMA SMOOTHING applied to Heiken Ashi candles SMOOTHING LAYERS: FIRST LAYER: EMA applied to raw OHLC data (default: 10 periods) SECOND LAYER: EMA applied to Heiken Ashi values (default: 10 periods) COLOR SCHEME: 🟢 LIME GREEN: Bullish candle (close > open) 🔴 RED: Bearish candle (close < open) BENEFIT: REDUCES MARKET NOISE while maintaining trend clarity 🎮 ENTRY CONDITIONS 📈 LONG POSITIONS ACTIVATE WHEN ALL THREE CONDITIONS CONVERGE: RSI MOMENTUM: RSI ≥ 55 (configurable level) TREND CONFIRMATION: Current smoothed Heiken Ashi candle is GREEN TREND REVERSAL SIGNAL: Previous smoothed Heiken Ashi candle was RED ✅ ENTRY LOGIC: This triple-filter approach ensures trades are taken only during CONFIRMED BULLISH SHIFTS with underlying momentum strength. 🛡️ RISK MANAGEMENT SYSTEM ⛔ STOP LOSS PROTECTION FIXED 1% RISK PER TRADE AUTOMATIC CALCULATION: Stop placed at 99% of entry price IMMEDIATE ACTIVATION: Engages upon position entry BENEFIT: CAPS MAXIMUM LOSS regardless of market volatility 💰 TRAILING TAKE-PROFIT MECHANISM DYNAMIC EXIT STRATEGY: Tracks trend continuation EXIT CONDITION: Closes position when smoothed Heiken Ashi turns RED ADVANTAGE: LOCKS IN PROFITS during trend reversals LOGIC: Allows winners to run while protecting gains 💼 POSITION SIZING CAPITAL ALLOCATION: 10% of equity per trade (fully customizable) INITIAL CAPITAL: $10,000 (user-adjustable) FLEXIBILITY: Compatible with various account sizes ✨ KEY ADVANTAGES 🎯 PRECISE TIMING Combines MOMENTUM FILTER (RSI) with TREND FILTER (Heiken Ashi) Reduces false signals through CONFIRMATION SEQUENCE 🛡️ DISCIPLINED RISK CONTROL PREDEFINED 1% STOP LOSS eliminates emotional decisions SYSTEMATIC EXITS remove subjective profit-taking 👁️ VISUAL CLARITY CLEAN CHART PLOTTING with color-coded candles SEPARATE RSI DISPLAY for momentum monitoring REAL-TIME SIGNALS directly on price chart ⚡ OPTIMIZATION TIPS ADJUST RSI LEVEL based on asset volatility (55-70 range) MODIFY SMOOTHING PERIODS for different timeframes TEST POSITION SIZE according to risk tolerance COMBINE WITH VOLUME CONFIRMATION for enhanced accuracy 📊 RECOMMENDED MARKETS TRENDING FOREX PAIRS (EUR/USD, GBP/USD) LIQUID INDICES (S&P 500, NASDAQ) HIGH-CAP CRYPTO (BTC/USD, ETH/USD) TIME FRAMES: 1-hour to daily charts ⚠️ RISK DISCLAIMER This strategy is a TOOL FOR ANALYSIS, not financial advice. Always: BACKTEST extensively before live trading START WITH SMALL CAPITAL USE PROPER RISK MANAGEMENT CONSULT FINANCIAL PROFESSIONALS
Pine Script® stratejisi
Danish7421 tarafından
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
Pine Script® stratejisi
yamanrawashdeh3 tarafından
Williams Fractal MA Pullback Strategy (1.5 RR) - BY DANISHOverview This strategy is a price action and moving average-based scalping strategy designed for low timeframes (1m, 5m, 15m). It combines trend alignment with pullbacks to key moving averages and uses Williams Fractals as entry triggers. It aims to catch high-probability scalping trades in the direction of the prevailing trend while keeping strict risk management with a 1.5:1 risk-to-reward ratio. Indicators Used Three Simple Moving Averages (SMA): Fast SMA: 20 periods (Green) Medium SMA: 50 periods (Yellow) Slow SMA: 100 periods (Red) Williams Fractals (Period 2): Identifies short-term local highs (red) and lows (green) for potential reversal or continuation setups. Trend Rules Bullish Trend (Long Setup): Fast SMA (20) > Medium SMA (50) > Slow SMA (100) Moving averages must not be crossing Bearish Trend (Short Setup): Slow SMA (100) > Medium SMA (50) > Fast SMA (20) Moving averages must not be crossing This ensures trades are only taken in the direction of the prevailing trend. Entry Rules Long Entry (Buy): Price pulls back to either the 20 SMA (fast) or 50 SMA (medium) without closing below the 100 SMA (slow). A green Williams Fractal forms after the pullback. Confirm all trend alignment rules (20>50>100). Enter a long position at the close of the candle that confirms the fractal. Short Entry (Sell): Price pulls back to either the 20 SMA (fast) or 50 SMA (medium) without closing above the 100 SMA (slow). A red Williams Fractal forms after the pullback. Confirm all trend alignment rules (100>50>20). Enter a short position at the close of the candle that confirms the fractal. Risk Management & Stop Loss Long Trades: If price stayed above 50 SMA during pullback → SL is just below 50 SMA If price dipped below 50 SMA but stayed above 100 SMA → SL is just below 100 SMA Short Trades: If price stayed below 50 SMA during pullback → SL is just above 50 SMA If price rose above 50 SMA but stayed below 100 SMA → SL is just above 100 SMA Take Profit (TP) Fixed 1.5 Risk-to-Reward ratio TP = Risk × 1.5 This ensures each trade has a positive expectancy and follows consistent risk-reward management. Additional Rules Fractals Confirmation: The strategy waits for 2 bars to close before confirming the fractal signal to avoid repainting. No trades are taken if the price violates the 100-period SMA during the pullback. Designed for scalping on low timeframes: 1m, 5m, or 15m charts. Visuals on Chart SMA Lines: 20 SMA (Green) 50 SMA (Yellow) 100 SMA (Red) Fractal Arrows: Green fractal → potential long entry Red fractal → potential short entry Trade Highlights: Strategy plots entries and exit levels automatically with stop loss and take profit. How to Use Add the script to a 1m, 5m, or 15m chart. Enable the strategy tester to see backtesting results. Follow the trend alignment rules strictly for high-probability scalping trades. Optionally, combine with volume filters or market structure analysis for better performance. Benefits Trades only in aligned trend direction, avoiding counter-trend traps. Pullback + fractal logic provides high-probability entries. Risk-to-reward of 1.5:1 ensures good risk management. Avoids fractal repainting by waiting for candle close. Ideal Conditions Works best on volatile assets like crypto or forex pairs with clear trending moves. Best applied to liquid markets with tight spreads for scalping. ✅ Summary: Trend-aligned scalping strategy Pullback to MA + fractal confirmation Fixed 1.5 RR risk management Works on low timeframes (1m, 5m, 15m) Clean visual signals with SMMAs and fractals
Pine Script® stratejisi
Danish7421 tarafından
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*
Pine Script® stratejisi
cryptocu84 tarafından
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.
Pine Script® stratejisi
LegalxSeagull tarafından