Mulai

Motif-Motif Chart

Liquidity Trap Strategy - ATR OptimizedLiquidity Trap Strategy โ€“ Optimized Version 1. Overview The Liquidity Trap Strategy is a high-probability price action trading system designed to exploit โ€œtrapped buyers or sellersโ€ 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: โ€œHunterโ€ style โ€” 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 dayโ€™s bar. These are drawn as anchored horizontal lines, extending to the current day. PDH/PDL act as key support/resistance zones โ€” areas where liquidity is often trapped. b) Trap Concept The strategy is based on the โ€œliquidity trapโ€ principle: Buyer Trap (Short Entry): Price breaks above the previous day high (PDH) โ†’ 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) โ†’ 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 โ†’ Green PDL โ†’ Red Trade Labels: Placed on the trap candle: Short โ†’ Red label โ€œShortโ€ Long โ†’ Green label โ€œLongโ€ The visual markers make it easy to identify exactly where the trap occurred and the trade was triggered. 4. How the Strategy Works โ€“ Step by Step Example for Short (Buyer Trap): Market opens, PDH/PDL from yesterday are drawn. Price spikes above PDH โ†’ 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 โ€” first trade of the day. Any further trap signals today are ignored. Example for Long (Seller Trap): Price drops below PDL โ†’ 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 โ€” 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 โ†’ 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 โ€” 15m allows quicker signals, 1H filters noise. Avoid trading around major news releases โ€” traps can behave differently during high volatility events. Always backtest and use the ATR SL โ€” never reduce SL too much, otherwise stops will trigger before the real move. โœ… 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.
Strategi Pine Scriptยฎ
oleh Danish7421
Open Range BreakoutOpen Range Breakout is a volatility harvesting tool designed to exploit directional expansion following major market opens. It isolates price action during initial liquidity injections to project institutional-grade zones that define a session's structural bias. Core Methodology The script uses a time-anchored engine to map critical supply and demand boundaries: Anchor Identification: The algorithm captures the absolute High and Low within a user-defined window at the start of Tokyo, London, or New York sessions. Structural Projection: It generates a Neutrality Box. A breach via candle close signals the transition from consolidation to expansion. Mathematical Risk Modeling: Upon breakout, it calculates a 3:1 Risk-Reward framework based on fixed percentage volatility. Session Dynamics The system is optimized for the global liquidity cycle: Session 1 (Asia): Maps early-day consolidation and range-bound liquidity. Session 2 (Europe): Captures the London Move to identify the trend. Session 3 (US): Analyzes high-volume New York opens for maximum momentum. Key Features Dynamic Price Mitigation: TP/SL zones stop extending the moment price touches the target or invalidation level to keep charts clean. Volatility-Adjusted Levels: Stop Loss parameters are normalized to price percentage for consistency across Indices, Forex, or Crypto. Minimalist Interface: Professional aesthetic with high-contrast visual cues for instant scannability. Use Cases Momentum Trading: Identifying the Origin of the Move post-open. Mean Reversion: Recognizing failed breakouts when price returns inside the range. Quantitative Backtesting: Benchmarking 3.0 RR targets across different session anchors.
Indikator Pine Scriptยฎ
oleh AlchimistOfCrypto
SA Range Rank JNJ.WEEK. 1.15.2026Signal Architectโ„ข โ€” Developer Note Weekly These daily posts are intentional. They are not meant to showcase wins, targets, or outcomes. They are designed to help viewers observe consistency in market behaviorโ€”specifically how structure, range, and reaction repeat across different products and timeframes. The value is not in catching every move. The value is in knowing when participation is unnecessary or unsupported. Signal Architectโ„ข tools are built to help traders avoid low-quality decisions, not to encourage constant activity. ________________________________________ What These Posts Are Demonstrating Over time, if you observe these posts across equities and futures, youโ€™ll begin to notice: โ€ข The same structural traps repeat across different instruments โ€ข The same reactions occur across multiple timeframes โ€ข The same stop-run and absorption behaviors appear regardless of volatility That repetition is not coincidence. It reflects how markets consistently behave, even as prices change. The goal of these posts is to make that behavior familiarโ€” because familiarity reduces hesitation, overtrading, and unnecessary loss. Consistency is not the outcome. Consistency is the environment. ________________________________________ What Youโ€™re Seeing (Public View) These charts display a limited visual preview of tools within the Signal Architectโ„ข framework. Only visual context is shown. Core logic, calculations, thresholds, and execution rules are intentionally not disclosed. The tools emphasize: โ€ข Market structure over prediction โ€ข Environmental awareness over signals โ€ข Risk framing over reward chasing Nothing shown publicly is meant to tell you what to trade. It is meant to help you recognize when not to trade. ________________________________________ Why This Matters Most losses do not come from being wrong on direction. They come from participating: โ€ข too early โ€ข too late โ€ข during transitions โ€ข inside structural traps Signal Architectโ„ข tools are designed to filter those moments out. In many cases, the highest-value action is: โ€ข standing aside โ€ข reducing size โ€ข waiting for clarity Saving capital is part of execution. Avoiding a bad trade is often more valuable than finding a good one. ________________________________________ Background & Scope (Context Only) Over the years, Iโ€™ve developed a wide range of systems and analytical tools spanning: โ€ข Equities โ€ข Futures โ€ข Options structure โ€ข Portfolio construction and allocation logic This includes extensive work on rule-based, tightly controlled frameworks designed to function across changing market conditions. None of that internal logic is shared publicly. These posts exist strictly for education, observation, and pattern recognitionโ€”not advice, not signals, and not promises. ________________________________________ ๐Ÿค For Those Who Find Value If these daily posts help you see the market more clearly: โ€ข Follow, boost, and share my scripts, Ideas, and MINDS posts โ€ข Feel free to message me directly with questions or build requests โ€ข Constructive feedback and collaboration are always welcome For traders who want to go deeper, optional memberships may include: โ€ข Additional signal access โ€ข Early previews โ€ข Occasional free tools and upgrades ๐Ÿ”— Membership & Signals trianchor.gumroad.com ________________________________________ โš ๏ธ Final Note Everything published publicly is educational and analytical only. Markets carry risk. Discipline, patience, and risk management always come first. Watch the consistency. Study the structure. Let the market repeat itself. โ€” Signal Architectโ„ข ________________________________________ ๐Ÿ”— Personally Developed GPT Tools โ€ข AuctionFlow GPT chatgpt.com โ€ข Signal Architectโ„ข Gamma Desk โ€“ Market Intelligence chatgpt.com โ€ข Gamma Squeeze Watchtowerโ„ข chatgpt.com Weekly (W) โ€” Strategic Regime / โ€œWhere price is allowed to liveโ€ Goal: Identify the dominant direction + structural permission for the entire week(s). How to use: โ€ข Treat weekly RECLAIM as regime confirmation, not an entry. โ€ข If weekly prints Bull RECLAIM, favor long participation on lower timeframes until weekly invalidates. โ€ข If weekly prints Bear RECLAIM, same idea but short-biased. Best behavior to look for: โ€ข 1โ€“2 reclaim signals per month/quarter. โ€ข Use it as a โ€œmacro gate.โ€ Recommended settings (starting point): โ€ข dispMult 1.2โ€“1.6 โ€ข reclaimWindow 20โ€“40 โ€ข cooldown 8โ€“20 ๐ŸŸฃ WEEKLY โ€” Macro Regime & Liquidity Clearing 1๏ธโƒฃ Range Indicator (RI) โ€ข <30 โ†’ long-term compression (energy building) โ€ข >70 โ†’ macro expansion (trend regime active) Use: Defines whether markets are coiling or trending on a multi-month scale. ________________________________________ 2๏ธโƒฃ ZoneEngine (Structure) โ€ข Identifies macro structural bias โ€ข Explains why certain weekly moves fail or accelerate Use: Never fight weekly structure. This is your โ€œmarket weather.โ€ ________________________________________ 3๏ธโƒฃ Cloud / Reclaim (Behavior) โ€ข Clouds classify regime state, not entries โ€ข Reclaims are informational only on weekly Use: Helps label the regime: continuation vs transition. ________________________________________ 4๏ธโƒฃ Stop-Hunt Proxy โ€ข Represents large-scale liquidity clearing โ€ข Often tied to: o fund rebalancing o regime shifts o macro events Use: Context only. Weekly stop-hunts explain why a regime changed โ€” they are not trades.
Indikator Pine Scriptยฎ
oleh SignalArchitecT_AI
Gold Swing Strategy A+GSS copy A++: Make Money While the Market Sleeps ๐Ÿ’ค๐Ÿ’ฐ Letโ€™s be honest. We all hate sideways markets. You buy? It dumps. You sell? It pumps. You cry? The market laughs. ๐Ÿ˜ญ Enter the GSS copy A++. This indicator is basically an "Anti-Boredom Machine." It identifies when Gold is just chilling in a range and tells you exactly when to scalp those sweet, sweet pips. Features: โœ… ADX Filter: It ignores strong trends so you don't stand in front of a freight train. โœ… RSI Confirmation: Because we don't catch falling knives without gloves. โœ… Big Labels: "SWING LONG" / "SWING SHORT" Instructions: See Green Label? Long. See Red Label? Short. See a giant breakout candle? TURN IT OFF and run.
Indikator Pine Scriptยฎ
oleh DoNotFollowMeGod
SA Range Rank JNJ DAY 1.15.2026DAILY โ€” PREPARE / POSITION MODE Developer Note: Bias & Position Framing This daily view is preparatory, not executable. The purpose of the Daily timeframe is to define directional bias, not entries. It helps frame which side of the market deserves attention and which activity should be ignored. The goal here is context, not action. ________________________________________ Purpose on Daily The Daily timeframe is used to: โ€ข Define directional bias for the week โ€ข Prepare position-building zones โ€ข Identify environments where participation is unnecessary or elevated-risk โ€ข Reduce overtrading by narrowing focus Daily charts answer one question only: โ€œIf I participate this week, which side makes sense?โ€ ________________________________________ What Matters Most (Public View) SA Range Indicator (RI): โ†’ Is the market transitioning or trending? โ†’ Is energy building, releasing, or rotating? SA ZoneEngine (visual context only): โ†’ Are daily moves aligned with higher-timeframe structure? โ†’ Is price operating with or against dominant bias? These visuals explain environment, not decisions. ________________________________________ How to Interpret Public Daily Posts โ€ข Daily is not timing โ€ข Daily is not execution โ€ข Daily is not a signal Daily charts prepare the trader mentally and structurally by clarifying: โ€ข what deserves patience โ€ข what deserves caution โ€ข what deserves no attention at all ________________________________________ Messaging Line โ€œDaily charts prepare the trade โ€” they donโ€™t execute it.โ€ ________________________________________ SEO Intent daily equity bias, position preparation, market structure analysis ________________________________________ ๐Ÿค For Those Who Find Value If these daily posts help you see the market more clearly: โ€ข Follow, boost, and share my scripts, Ideas, and MINDS posts โ€ข Feel free to message me directly with questions or build requests โ€ข Constructive feedback and collaboration are always welcome For traders who want to go deeper, optional memberships may include: โ€ข Additional signal access โ€ข Early previews โ€ข Occasional free tools and upgrades ๐Ÿ”— Membership & Signals trianchor.gumroad.com ________________________________________ ________________________________________ โฑ 15-MIN โ€” PREPARE / POSITION MODE Developer Note: Setup Formation Phase The 15-minute timeframe is where setups begin to form, not where they are acted on. This view exists to separate developing structure from noise. ________________________________________ Purpose on 15-Minute The 15-minute timeframe is used to: โ€ข Spot trap-prone conditions โ€ข Identify developing structure โ€ข Observe compression, rotation, or early expansion โ€ข Prepare for execution โ€” without acting This timeframe answers a different question: โ€œIs something forming โ€” or is this noise?โ€ ________________________________________ What Matters Most (Public View) SA Range Indicator (RI): โ†’ Compression โ†’ expansion transitions โ†’ Energy buildup vs premature release SA CloudRegimes (visual only): โ†’ Whether price behavior reflects continuation, pullback, or contraction โ†’ Whether movement is controlled or impulsive These visuals describe behavior, not entries. ________________________________________ How to Interpret Public 15-Minute Posts โ€ข 15m is setup formation โ€ข 15m is environmental awareness โ€ข 15m is not execution Most errors occur when traders act before structure has finished forming. This timeframe exists to slow that impulse down. ________________________________________ Messaging Line โ€œPreparation happens before the move โ€” not during it.โ€ ________________________________________ SEO Intent 15 minute futures setup, market preparation, stop hunt behavior ________________________________________ ๐Ÿค For Those Who Find Value If these posts help you better recognize developing structure: โ€ข Follow, boost, and share my scripts, Ideas, and MINDS posts โ€ข Feel free to message me directly with questions or build requests โ€ข Constructive feedback and collaboration are always welcome For traders who want to go deeper, optional memberships may include: โ€ข Additional signal access โ€ข Early previews โ€ข Occasional free tools and upgrades ๐Ÿ”— Membership & Signals trianchor.gumroad.com Daily (D) โ€” Swing Bias / โ€œThis is the side that has permissionโ€ Goal: Define swing participation: are we in a supported trend or mean-revert risk? How to use: โ€ข Daily RECLAIM = โ€œpermission restoredโ€ after a shock move / trend resumption. โ€ข Use it to decide: Hold adds / reduce hedges / stop fighting direction. Best use case: โ€ข After earnings/news displacement days โ€ข After large liquidation candles โ€ข After a major gap day Settings: โ€ข dispMult 1.1โ€“1.5 โ€ข reclaimWindow 12โ€“25 โ€ข cooldown 6โ€“12 ๐Ÿ”ต DAILY โ€” Swing Environment & Risk Framing 1๏ธโƒฃ Range Indicator (RI) โ€ข Compression โ†’ swing expansion likely โ€ข Expansion โ†’ continuation or exhaustion Use: Tells you whether to expect patience or momentum. ________________________________________ 2๏ธโƒฃ ZoneEngine (Structure) โ€ข Confirms whether daily swings align with higher bias โ€ข Filters false daily breakouts Use: Only trust daily moves that occur inside structure. ________________________________________ 3๏ธโƒฃ Cloud / Reclaim (Behavior) โ€ข Trend Clouds โ†’ continuation environment โ€ข Pullback Clouds โ†’ reload or fade zones โ€ข Reclaim shows acceptance back into value Use: Distinguishes real pullbacks from traps. ________________________________________ 4๏ธโƒฃ Stop-Hunt Proxy โ€ข Clears weak swing participants โ€ข Often precedes continuation when aligned Use: Stop-hunt + compression + trend cloud = swing continuation context.
Indikator Pine Scriptยฎ
oleh SignalArchitecT_AI
ORB (x2) by jaXn# ORB (x2) Professional Suite ## ๐Ÿš€ Unleash the Power of Precision Range Trading **ORB (x2)** isn't just another breakout indicatorโ€”it is a complete **Opening Range Breakout workspace** designed for professional traders who demand flexibility, precision, and chart cleanliness. Whether you are trading Indices, Forex, or Commodities, the Opening Range is often the most critical level of the day. This suite allows you to master these levels by tracking **two independent ranges** simultaneously, giving you a distinctive edge. ## ๐Ÿ”ฅ Why choose ORB (x2)? Most indicators force you to choose one specific time. **ORB (x2)** breaks these limits. ### ๐ŸŒŽ 1. Multi-Session Mastery (London & New York) Trade the world's biggest liquidity pools. Set **ORB 1** for the **London Open** (e.g., 03:00โ€“03:05 EST) and **ORB 2** for the **New York Open** (09:30โ€“09:35 EST). Watch how price reacts to London levels later in the New York session. ### โฑ๏ธ 2. Multi-Strategy Stacking (The "Fractal" Approach) This is a game-changer for intraday setups. Instead of two different times, track **two different durations** for the *same* open. * **Setup:** Configure **ORB 1** as the classic **5-minute range** (09:30โ€“09:35). * **Setup:** Configure **ORB 2** as the statistically significant **15-minute or 30-minute range** (09:30โ€“10:00). * **Result:** You now see immediate scalping levels *and* major trend reversals levels on the same chart, automatically. ### ๐ŸŽฏ 3. "Plot Until" Tech: Keep Your Chart Clean Sick of lines extending infinitely into the void? Our exclusive **"Plot Until"** feature separates the signal from the noise. You define exactly when the trade idea invalidates. * *Example:* Plot the 09:30 levels only until 12:00 (Lunch). * The script intelligently cuts the lines off at your exact minute, ensuring your chart is ready for the afternoon session without morning clutter. ### โšก Precision Engine We use a dedicated "Precision Timeframe" input. Even if you are viewing a 1-hour or 4-hour chart to see the big picture, ORB (x2) can fetch data from the **1-minute** timeframe to calculate the *exact* high and low of the opening range. No more "repainting" or guessing where the wick was. ## ๐Ÿ›  Feature Breakdown * **Dual Independent Engines:** Fully separate Color, Style, Time, and Cutoff settings for both ORB 1 and ORB 2. * **Absolute Time Cutoff:** Lines obey day boundaries perfectly. A cutoff at 16:00 means 16:00, not "whenever the next bar closes". * **Style Control:** Visually distinguish between your "Scalp" ORB (e.g., Dotted Lines) and your "Trend" ORB (e.g., Solid Thick Lines). * **Performance Mode:** Adjustable "Lookback Days" limits history to keep your chart lightning fast. ## ๐Ÿ’ก Configuration Examples **The "Double Barrel" (Standard Stock + Futures)** * *ORB 1:* `0930-0935` (5 min) - The immediate reaction. * *ORB 2:* `0930-1000` (30 min) - The institutional trend setter. **The "Transatlantic" (Forex/Indices)** * *ORB 1:* `0800-0805` (London Open) - European liquidity. * *ORB 2:* `1330-1335` (NY Open) - US liquidity injection. ## โš ๏ธ Disclaimer Trading involves substantial risk. This tool helps visualize critical price levels but does not guarantee profits. Always combine with proper risk management and your own analysis.
Indikator Pine Scriptยฎ
oleh jacksenn
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. ์‚ฌ์šฉ์ž ์ž…๋ ฅ (User Inputs) // ========================================== // grp_time = "Backtest Period" useDateFilter = input.bool(true, "๊ธฐ๊ฐ„ ํ•„ํ„ฐ ์ ์šฉ", group=grp_time) startDate = input.time(timestamp("2023-01-01 00:00"), "์‹œ์ž‘์ผ", group=grp_time) endDate = input.time(timestamp("2099-12-31 23:59"), "์ข…๋ฃŒ์ผ", 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, "์†์ ˆ๋งค (Stop Loss %)", step=0.1, group=grp_risk) / 100 takeProfitPct = input.float(4.0, "์ต์ ˆ๋งค (Take Profit %)", step=0.1, group=grp_risk) / 100 // - ์‹ ๊ทœ ์ถ”๊ฐ€ (Alert Configuration) grp_alert = "5. Alert Configuration" msg_long_entry = input.string("Long Entry Triggered", "Long ์ง„์ž… ๋ฉ”์‹œ์ง€", group=grp_alert) msg_short_entry = input.string("Short Entry Triggered", "Short ์ง„์ž… ๋ฉ”์‹œ์ง€", group=grp_alert) msg_long_exit = input.string("Long Position Closed", "Long ์ฒญ์‚ฐ ๋ฉ”์‹œ์ง€", group=grp_alert) msg_short_exit = input.string("Short Position Closed", "Short ์ฒญ์‚ฐ ๋ฉ”์‹œ์ง€", group=grp_alert) // ========================================== // 2. ๋ฐ์ดํ„ฐ ์ฒ˜๋ฆฌ ๋ฐ ์ง€ํ‘œ ๊ณ„์‚ฐ // ========================================== // 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) // ๋ถ„๋ชจ๊ฐ€ 0์ด ๋˜๋Š” ์˜ˆ์™ธ ์ฒ˜๋ฆฌ 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. ์‹œ๊ฐํ™” (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. ์ „๋žต ๋กœ์ง (Strategy Logic) - ์š”์ฒญํ•˜์‹  ๋‚ด์šฉ์œผ๋กœ ์ „๋ฉด ์ˆ˜์ • // ========================================== // ์กฐ๊ฑด: K๊ฐ€ D๋ณด๋‹ค ํฌ๊ณ (AND) K๊ฐ€ Norm Signal๋ณด๋‹ค ํฐ ์ƒํƒœ bool is_bullish = (k > d) and (k > norm_signal) // ์กฐ๊ฑด: K๊ฐ€ D๋ณด๋‹ค ์ž‘๊ณ (AND) K๊ฐ€ Norm Signal๋ณด๋‹ค ์ž‘์€ ์ƒํƒœ bool is_bearish = (k < d) and (k < norm_signal) // ์ง„์ž… ์‹ ํ˜ธ: "์ด์ „ ๋ด‰์—๋Š” ์•„๋‹ˆ์—ˆ๋Š”๋ฐ, ์ง€๊ธˆ ๋ด‰์—์„œ ๋‘ ์กฐ๊ฑด์„ ๋™์‹œ์— ๋งŒ์กฑํ–ˆ์„ ๋•Œ" (๋ŒํŒŒ ์ˆœ๊ฐ„) longCondition = is_bullish and not is_bullish shortCondition = is_bearish and not is_bearish // ์ฃผ๋ฌธ ์‹คํ–‰ (Confirmed Bar Only) + Alert Message ์—ฐ๊ฒฐ 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. ์ฒญ์‚ฐ ๋ฐ ์‹ ํ˜ธ ๊ฐ•์กฐ (Alert Message ์ถ”๊ฐ€) // ========================================== 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) // ๋ฐฐ๊ฒฝ ์‹ ํ˜ธ bgcolor(longCondition ? color.new(#76FF03, 90) : na, title="Long Signal BG") bgcolor(shortCondition ? color.new(#FF1744, 90) : na, title="Short Signal BG")
Strategi Pine Scriptยฎ
oleh james130625
Bit Secure All in One Indicator ## **Bit Secure All In One AI Indicator** **Bit Secure All In One AI Indicator** is a professional, non-repainting trading tool designed for traders who rely on **structure, confirmation, and clarity** rather than noisy signals. This indicator combines **Central Pivot Range (CPR)**, **trend-following logic**, and **multi-timeframe momentum analysis** into a clean, dashboard-driven workflow suitable for **intraday and positional trading**. --- ### ๐Ÿ”น Core Features **๐Ÿ“Š Central Pivot Range (CPR) Analysis** * Automatic CPR calculation from previous day data * Identifies **Narrow / Wide CPR** to assess market conditions * Helps determine range-bound vs trending days **๐Ÿ“ˆ Trend & Entry Framework** * EMA 9 / EMA 21 crossover logic * VWAP-based confirmation for high-probability entries * Clean **BUY / SELL / STRONG BUY / STRONG SELL** labels * No repaint, no lag-based repaint tricks **๐Ÿง  Momentum & Trend Strength** * Multi-EMA and DEMA trend alignment * VWAP positional bias (Above / Below) * MACD trend confirmation **๐Ÿ“‹ Dual Dashboard System (Dark-Mode Optimized)** * **Dashboard 1:** Market structure, trend state, CPR condition, EMA/DEMA/VWAP/MACD status * **Dashboard 2:** * Multi-timeframe RSI (rounded values) * Multi-timeframe Supertrend price levels * **RSI & MACD Divergence detection** using confirmed swing points **๐Ÿ” RSI & MACD Divergence (Professional Logic)** * Detects bullish and bearish divergence using **confirmed pivots only** * No repainting, no forward-looking bias * Designed as **contextual confirmation**, not standalone signals --- ### ๐Ÿ”น Best Use Cases * Index trading (NIFTY, BANKNIFTY, FINNIFTY) * Futures & Options * Stocks & Crypto (intraday and swing) Recommended timeframes: **3-min, 5-min, 15-min, 1-hour** --- ### โš ๏ธ Important Notes * This indicator does **not repaint** * Signals are designed for **decision support**, not guaranteed outcomes * Always use proper risk management * No financial or investment advice is provided --- ### ๐Ÿ” Access This is an **invite-only indicator**. Source code is protected and access is granted manually. --- **Built for traders who value market structure over noise.**
Indikator Pine Scriptยฎ
oleh devh697
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. ์„ค์ • (Inputs) // ============================================================================= group_macd = "๐Ÿ“Š MACD ์„ค์ •" 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 = "๐ŸŽจ ์‹œ๊ฐํ™” ์ƒ‰์ƒ" col_up = input.color(color.new(#00E676, 0), "์ƒ์Šน (Neon Green)", group=group_col) col_dn = input.color(color.new(#FF1744, 0), "ํ•˜๋ฝ (Red)", group=group_col) col_sig = input.color(color.new(#FFEA00, 0), "Signal ๊ธฐ๋ณธ์ƒ‰", group=group_col) // ============================================================================= // 2. ๊ณ„์‚ฐ (Calculations) // ============================================================================= fastMA = ta.ema(src, fastLen) slowMA = ta.ema(src, slowLen) macd = fastMA - slowMA signal = ta.ema(macd, sigLen) hist = macd - signal // ๊ต์ฐจ ํ™•์ธ (Crossovers) bool crossUp = ta.crossover(macd, signal) bool crossDn = ta.crossunder(macd, signal) // ์ถ”์„ธ ์ƒํƒœ ํ™•์ธ bool isBullish = macd >= signal // ============================================================================= // 3. ์ „๋žต ์‹คํ–‰ (Execution) // ============================================================================= if crossUp strategy.entry("Long", strategy.long) if crossDn strategy.entry("Short", strategy.short) // ============================================================================= // 4. ์‹œ๊ฐํ™” (Visualization) - ์ˆ˜์ •๋œ ๋ถ€๋ถ„ // ============================================================================= // 4.1 MACD ๋ผ์ธ ์ƒ‰์ƒ ๋™์  ๋ณ€๊ฒฝ color macdDynamicColor = isBullish ? col_up : col_dn // 4.2 ๋ผ์ธ ๊ทธ๋ฆฌ๊ธฐ plot(macd, title="MACD Line", color=macdDynamicColor, linewidth=2) plot(signal, title="Signal Line", color=col_sig, linewidth=1) // 4.3 ๊ต์ฐจ์  ๋„ํŠธ (Thick Dots) - ๊ด„ํ˜ธ ์˜ค๋ฅ˜ ๋ฐฉ์ง€๋ฅผ ์œ„ํ•ด ๋ช…์‹œ์  ๋ณ€์ˆ˜ ํ• ๋‹น 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 ํžˆ์Šคํ† ๊ทธ๋žจ ์ƒ‰์ƒ (์˜ค๋ฅ˜ ์ˆ˜์ •: ์ค‘์ฒฉ ์‚ผํ•ญ์—ฐ์‚ฐ์ž ์ œ๊ฑฐ -> if-else ๋ณ€ํ™˜) color histColor = na if isBullish // ์ƒ์Šน ์ถ”์„ธ์ผ ๋•Œ: ํžˆ์Šคํ† ๊ทธ๋žจ์ด ์ง์ „๋ณด๋‹ค ์ปค์ง€๋ฉด ์ง„ํ•œ์ƒ‰, ์ž‘์•„์ง€๋ฉด ์—ฐํ•œ์ƒ‰ if hist < hist histColor := col_up else histColor := color.new(col_up, 50) else // ํ•˜๋ฝ ์ถ”์„ธ์ผ ๋•Œ: ํžˆ์Šคํ† ๊ทธ๋žจ์ด ์ง์ „๋ณด๋‹ค ์ปค์ง€๋ฉด(๋œ ์Œ์ˆ˜๋ฉด) ์—ฐํ•œ์ƒ‰, ์ž‘์•„์ง€๋ฉด ์ง„ํ•œ์ƒ‰ 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 ๊ธฐ์ค€์„  hline(0, "Zero Line", color=color.gray, linestyle=hline.style_dotted)
Strategi Pine Scriptยฎ
oleh james130625