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Dresteghamat:Adaptive Multi-TF Decision Engine**Dresteghamat: Adaptive Multi-Timeframe Decision Engine** This open-source indicator is an algorithmic decision-support system designed to filter market noise by quantifying three core market dimensions: **Regime**, **Direction**, and **Exhaustion**. **⚠️ Technical Note on Originality:** This script solves the "Timeframe Irrelevance" problem found in standard dashboards. Instead of using static HTF references, it implements a custom **"Adaptive Context Engine"** (see lines 245-270 in source code). It calculates the user's current `timeframe.multiplier` and dynamically maps the mathematically relevant Higher Timeframes. * *Innovation:* A 5m chart automatically weights 15m/1H structure, whereas a 1H chart weights 4H/Daily structure. This dynamic logic is proprietary and ensures contextual accuracy. --- ### 🛠️ Logic & Calculation Methodology The script does not simply overlay indicators. It processes raw market data through a **Weighted Scoring Engine** (lines 275-285) to output a unified market state. **1. Regime Identification (Volatility Normalized)** We calculate a custom "Volatility Ratio" to distinguish Trend vs. Range regimes. * **Logic:** `Range / Smoothed_ATR`. * **Function:** If Ratio > 2.0, the market is in Expansion (Trend). If < 1.2, it is in Compression (Range). This normalizes volatility across assets (Crypto/Forex/Stocks). **2. Directional Bias (Composite Metric)** Direction is calculated via a voting system of three sub-components (lines 80-130): * **Structural Pivots:** Detects Swing Highs/Lows using a 25-bar lookback to define market structure. * **Cumulative Body Delta:** Tracks the net buying/selling pressure within candle bodies. * **Micro-Flow:** A short-term (5-bar) momentum filter to detect immediate order flow shifts. **3. Exhaustion Model (Risk Management)** The script prevents late entries by calculating an "Exhaustion Score" (lines 150-200). It aggregates: * **VRSD (Volatility Regime Shift):** Detects when volatility expands > 2 standard deviations (Mean Reversion risk). * **Volume Decay (VEFF):** Identifies Divergence where price makes new highs on declining Volume MA. * **RSI/Impulse Divergence:** Standard momentum divergence logic. **4. The Decision Output (MODE)** The dashboard renders a final signal based on a hierarchical algorithm: * **BUY/SELL ONLY:** Triggered when Current Momentum aligns with the Dynamically Selected HTF Structure AND the Exhaustion Score is low. * **PULLBACK:** Triggered when HTF Structure is bullish, but Current Momentum is bearish (indicating a corrective phase). * **HTF EXHAUST:** Overrides signals when the Higher Timeframe metrics hit extreme levels. * **WAIT:** Default state during Range Regimes or conflicting signals. --- ### 📊 Usage Guide 1. Apply to chart (Auto-adapts to any timeframe). 2. **Status Column:** Shows the raw health of the trend (Strong/Weakening/Exhausted). 3. **MODE Column:** Displays the final actionable bias based on the scoring algorithm. **Disclaimer:** This tool provides statistical analysis based on historical data. It does not guarantee future results.
Pine Script® indicator
by dr-esteghamat
4
Mars Signals - Ultimate Institutional Suite v3.0(Joker)Comprehensive Trading Manual Mars Signals – Ultimate Institutional Suite v3.0 (Joker) ## Chapter 1 – Philosophy & System Architecture This script is not a simple “buy/sell” indicator. Mars Signals – UIS v3.0 (Joker) is designed as an institutional-style analytical assistant that layers several methodologies into a single, coherent framework. The system is built on four core pillars: 1. Smart Money Concepts (SMC) - Detection of Order Blocks (professional demand/supply zones). - Detection of Fair Value Gaps (FVGs) (price imbalances). 2. Smart DCA Strategy - Combination of RSI and Bollinger Bands - Identifies statistically discounted zones for scaling into spot positions or exiting shorts. 3. Volume Profile (Visible Range Simulation) - Distribution of volume by price, not by time. - Identification of POC (Point of Control) and high-/low-volume areas. 4. Wyckoff Helper – Spring - Detection of bear traps, liquidity grabs, and sharp bullish reversals. All four pillars feed into a Confluence Engine (Scoring System). The final output is presented in the Dashboard, with a clear, human-readable signal: - STRONG LONG 🚀 - WEAK LONG ↗ - NEUTRAL / WAIT - WEAK SHORT ↘ - STRONG SHORT 🩸 This allows the trader to see *how many* and *which* layers of the system support a bullish or bearish bias at any given time. ## Chapter 2 – Settings Overview ### 2.1 General & Dashboard Group - Show Dashboard Panel (`show_dash`) Turns the dashboard table in the corner of the chart ON/OFF. - Show Signal Recommendation (`show_rec`) - If enabled, the textual signal (STRONG LONG, WEAK SHORT, etc.) is displayed. - If disabled, you only see feature status (ON/OFF) and the current price. - Dashboard Position (`dash_pos`) Determines where the dashboard appears on the chart: - `Top Right` - `Bottom Right` - `Top Left` ### 2.2 Smart Money (SMC) Group - Enable SMC Strategy (`show_smc`) Globally enables or disables the Order Block and FVG logic. - Order Block Pivot Lookback (`ob_period`) Main parameter for detecting key pivot highs/lows (swing points). - Default value: 5 - Concept: A bar is considered a pivot low if its low is lower than the lows of the previous 5 and the next 5 bars. Similarly, a pivot high has a high higher than the previous 5 and the next 5 bars. These pivots are used as anchors for Order Blocks. - Increasing `ob_period`: - Fewer levels. - But levels tend to be more significant and reliable. - In highly volatile markets (major news, war events, FOMC, etc.), using values 7–10 is recommended to filter out weak levels. - Show Fair Value Gaps (`show_fvg`) Enables/disables the drawing of FVG zones (imbalances). - Bullish OB Color (`c_ob_bull`) - Color of Bullish Order Blocks (Demand Zones). - Default: semi-transparent green (transparency ≈ 80). - Bearish OB Color (`c_ob_bear`) - Color of Bearish Order Blocks (Supply Zones). - Default: semi-transparent red. - Bullish FVG Color (`c_fvg_bull`) - Color of Bullish FVG (upward imbalance), typically yellow. - Bearish FVG Color (`c_fvg_bear`) - Color of Bearish FVG (downward imbalance), typically purple. ### 2.3 Smart DCA Strategy Group - Enable DCA Zones (`show_dca`) Enables the Smart DCA logic and visual labels. - RSI Length (`rsi_len`) Lookback period for RSI (default: 14). - Shorter → more sensitive, more noise. - Longer → fewer signals, higher reliability. - Bollinger Bands Length (`bb_len`) Moving average period for Bollinger Bands (default: 20). - BB Multiplier (`bb_mult`) Standard deviation multiplier for Bollinger Bands (default: 2.0). - For extremely volatile markets, values like 2.5–3.0 can be used so that only extreme deviations trigger a DCA signal. ### 2.4 Volume Profile (Visible Range Sim) Group - Show Volume Profile (`show_vp`) Enables the simulated Volume Profile bars on the right side of the chart. - Volume Lookback Bars (`vp_lookback`) Number of bars used to compute the Volume Profile (default: 150). - Higher values → broader historical context, heavier computation. - Row Count (`vp_rows`) Number of vertical price segments (rows) to divide the total price range into (default: 30). - Width (%) (`vp_width`) Relative width of each volume bar as a percentage. In the code, bar widths are scaled relative to the row with the maximum volume. > Technical note: Volume Profile calculations are executed only on the last bar (`barstate.islast`) to keep the script performant even on higher timeframes. ### 2.5 Wyckoff Helper Group - Show Wyckoff Events (`show_wyc`) Enables detection and plotting of Wyckoff Spring events. - Volume MA Length (`vol_ma_len`) Length of the moving average on volume. A bar is considered to have Ultra Volume if its volume is more than 2× the volume MA. ## Chapter 3 – Smart Money Strategy (Order Blocks & FVG) ### 3.1 What Is an Order Block? An Order Block (OB) represents the footprint of large institutional orders: - Bullish Order Block (Demand Zone) The last selling region (bearish candle/cluster) before a strong upward move. - Bearish Order Block (Supply Zone) The last buying region (bullish candle/cluster) before a strong downward move. Institutions and large players place heavy orders in these regions. Typical price behavior: - Price moves away from the zone. - Later returns to the same zone to fill unfilled orders. - Then continues the larger trend. In the script: - If `pl` (pivot low) forms → a Bullish OB is created. - If `ph` (pivot high) forms → a Bearish OB is created. The box is drawn: - From `bar_index ` to `bar_index`. - Between `low ` and `high `. - `extend=extend.right` extends the OB into the future, so it acts as a dynamic support/resistance zone. - Only the last 4 OB boxes are kept to avoid clutter. ### 3.2 Order Block Color Guide - Semi-transparent Green (`c_ob_bull`) - Represents a Bullish Order Block (Demand Zone). - Interpretation: a price region with a high probability of bullish reaction. - Semi-transparent Red (`c_ob_bear`) - Represents a Bearish Order Block (Supply Zone). - Interpretation: a price region with a high probability of bearish reaction. Overlap (Multiple OBs in the Same Area) When two or more Order Blocks overlap: - The shared area appears visually denser/stronger. - This suggests higher order density. - Such zones can be treated as high-priority levels for entries, exits, and stop-loss placement. ### 3.3 Demand/Supply Logic in the Scoring Engine is_in_demand = low <= ta.lowest(low, 20) is_in_supply = high >= ta.highest(high, 20) - If current price is near the lowest lows of the last 20 bars, it is considered in a Demand Zone → positive impact on score. - If current price is near the highest highs of the last 20 bars, it is considered in a Supply Zone → negative impact on score. This logic complements Order Blocks and helps the Dashboard distinguish whether: - Market is currently in a statistically cheap (long-friendly) area, or - In a statistically expensive (short-friendly) area. ### 3.4 Fair Value Gaps (FVG) #### Concept When the market moves aggressively: - Some price levels are skipped and never traded. - A gap between wicks/shadows of consecutive candles appears. - These regions are called Fair Value Gaps (FVGs) or Imbalances. The market generally “dislikes” imbalance and often: - Returns to these zones in the future. - Fills the gap (rebalance). - Then resumes its dominant direction. #### Implementation in the Code Bullish FVG (Yellow) fvg_bull_cond = show_smc and show_fvg and low > high and close > high if fvg_bull_cond box.new(bar_index , high , bar_index, low, ...) Core condition: `low > high ` → the current low is above the high of two bars ago; the space between them is an untraded gap. Bearish FVG (Purple) fvg_bear_cond = show_smc and show_fvg and high < low and close < low if fvg_bear_cond box.new(bar_index , low , bar_index, high, ...) Core condition: `high < low ` → the current high is below the low of two bars ago; again a price gap exists. #### FVG Color Guide - Transparent Yellow (`c_fvg_bull`) – Bullish FVG Often acts like a magnet for price: - Price tends to retrace into this zone, - Fill the imbalance, - And then continue higher. - Transparent Purple (`c_fvg_bear`) – Bearish FVG Price tends to: - Retrace upward into the purple area, - Fill the imbalance, - And then resume downward movement. #### Trading with FVGs - FVGs are *not* standalone entry signals. They are best used as: - Targets (take-profit zones), or - Reaction areas where you expect a pause or reversal. Examples: - If you are long, a bearish FVG above is often an excellent take-profit zone. - If you are short, a bullish FVG below is often a good cover/exit zone. ### 3.5 Core SMC Trading Templates #### Reversal Long 1. Price trades down into a green Order Block (Demand Zone). 2. A bullish confirmation candle (Close > Open) forms inside or just above the OB. 3. If this zone is close to or aligned with a bullish FVG (yellow), the signal is reinforced. 4. Entry: - At the close of the confirmation candle, or - Using a limit order near the upper boundary of the OB. 5. Stop-loss: - Slightly below the OB. - If the OB is broken decisively and price consolidates below it, the zone loses validity. 6. Targets: - The next FVG, - Or the next red Order Block (Supply Zone) above. #### Reversal Short The mirror scenario: - Price rallies into a red Order Block (Supply). - A bearish confirmation candle forms (Close < Open). - FVG/premium structure above can act as a confluence. - Stop-loss goes above the OB. - Targets: lower FVGs or subsequent green OBs below. ## Chapter 4 – Smart DCA Strategy (RSI + Bollinger Bands) ### 4.1 Smart DCA Concept - Classic DCA = buying at fixed time intervals regardless of price. - Smart DCA = scaling in only when: - Price is statistically cheaper than usual, and - The market is in a clear oversold condition. Code logic: rsi_val = ta.rsi(close, rsi_len) = ta.bb(close, bb_len, bb_mult) dca_buy = show_dca and rsi_val < 30 and close < bb_lower dca_sell = show_dca and rsi_val > 70 and close > bb_upper Conditions: - DCA Buy – Smart Scale-In Zone - RSI < 30 → oversold. - Close < lower Bollinger Band → price has broken below its typical volatility envelope. - DCA Sell – Overbought/Distribution Zone - RSI > 70 → overbought. - Close > upper Bollinger Band → price is extended far above the mean. ### 4.2 Visual Representation on the Chart - Green “DCA” Label Below Candle - Shape: `labelup`. - Color: lime background, white text. - Meaning: statistically attractive level for laddered spot entries or short exits. - Red “SELL” Label Above Candle - Warning that the market is in an extended, overbought condition. - Suitable for profit-taking on longs or considering short entries (with proper confluence and risk management). - Light Green Background (`bgcolor`) - When `dca_buy` is true, the candle background turns very light green (high transparency). - This helps visually identify DCA Zones across the chart at a glance. ### 4.3 Practical Use in Trading #### Spot Trading Used to build a better average entry price: - Every time a DCA label appears, allocate a fixed portion of capital (e.g., 2–5%). - Combining DCA signals with: - Green OBs (Demand Zones), and/or - The Volume Profile POC makes the zone structurally more important. #### Futures Trading - Longs - Use DCA Buy signals as low-risk zones for opening or adding to longs when: - Price is inside a green OB, or - The Dashboard already leans LONG. - Shorts - Use DCA Sell signals as: - Exit zones for longs, or - Areas to initiate shorts with stops above structural highs. ## Chapter 5 – Volume Profile (Visible Range Simulation) ### 5.1 Concept Traditional volume (histogram under the chart) shows volume over time. Volume Profile shows volume by price level: - At which prices has the highest trading activity occurred? - Where did buyers and sellers agree the most (High Volume Nodes – HVNs)? - Where did price move quickly due to low participation (Low Volume Nodes – LVNs)? ### 5.2 Implementation in the Script Executed only when `show_vp` is enabled and on the last bar: 1. The last `vp_lookback` bars (default 150) are processed. 2. The minimum low and maximum high over this window define the price range. 3. This price range is divided into `vp_rows` segments (e.g., 30 rows). 4. For each row: - All bars are scanned. - If the mid-price `(high + low ) / 2` falls inside a row, that bar’s volume is added to the row total. 5. The row with the greatest volume is stored as `max_vol_idx` (the POC row). 6. For each row, a volume box is drawn on the right side of the chart. ### 5.3 Color Scheme - Semi-transparent Orange - The row with the maximum volume – the Point of Control (POC). - Represents the strongest support/resistance level from a volume perspective. - Semi-transparent Blue - Other volume rows. - The taller the bar → the higher the volume → the stronger the interest at that price band. ### 5.4 Trading Applications - If price is above POC and retraces back into it: → POC often acts as support, suitable for long setups. - If price is below POC and rallies into it: → POC often acts as resistance, suitable for short setups or profit-taking. HVNs (Tall Blue Bars) - Represent areas of equilibrium where the market has spent time and traded heavily. - Price tends to consolidate here before choosing a direction. LVNs (Short or Nearly Empty Bars) - Represent low participation zones. - Price often moves quickly through these areas – useful for targeting fast moves. ## Chapter 6 – Wyckoff Helper – Spring ### 6.1 Spring Concept In the Wyckoff framework: - A Spring is a false break of support. - The market briefly trades below a well-defined support level, triggers stop losses, then sharply reverses upward as institutional buyers absorb liquidity. This movement: - Clears out weak hands (retail sellers). - Provides large players with liquidity to enter long positions. - Often initiates a new uptrend. ### 6.2 Code Logic Conditions for a Spring: 1. The current low is lower than the lowest low of the previous 50 bars → apparent break of a long-standing support. 2. The bar closes bullish (Close > Open) → the breakdown was rejected. 3. Volume is significantly elevated: → `volume > 2 × volume_MA` (Ultra Volume). When all conditions are met and `show_wyc` is enabled: - A pink diamond is plotted below the bar, - With the label “Spring” – one of the strongest long signals in this system. ### 6.3 Trading Use - After a valid Spring, markets frequently enter a meaningful bullish phase. - The highest quality setups occur when: - The Spring forms inside a green Order Block, and - Near or on the Volume Profile POC. Entries: - At the close of the Spring bar, or - On the first pullback into the mid-range of the Spring candle. Stop-loss: - Slightly below the Spring’s lowest point (wick low plus a small buffer). ## Chapter 7 – Confluence Engine & Dashboard ### 7.1 Scoring Logic For each bar, the script: 1. Resets `score` to 0. 2. Adjusts the score based on different signals. SMC Contribution if show_smc if is_in_demand score += 1 if is_in_supply score -= 1 - Being in Demand → `+1` - Being in Supply → `-1` DCA Contribution if show_dca if dca_buy score += 2 if dca_sell score -= 2 - DCA Buy → `+2` (strong, statistically driven long signal) - DCA Sell → `-2` Wyckoff Spring Contribution if show_wyc if wyc_spring score += 2 - Spring → `+2` (entry of strong money) ### 7.2 Mapping Score to Dashboard Signal - score ≥ 2 → STRONG LONG 🚀 Multiple bullish conditions aligned. - score = 1 → WEAK LONG ↗ Some bullish bias, but only one layer clearly positive. - score = 0 → NEUTRAL / WAIT Rough balance between buying and selling forces; staying flat is usually preferable. - score = -1 → WEAK SHORT ↘ Mild bearish bias, suited for cautious or short-term plays. - score ≤ -2 → STRONG SHORT 🩸 Convergence of several bearish signals. ### 7.3 Dashboard Structure The dashboard is a two-column table: - Row 0 - Column 0: `"Mars Signals"` – black background, white text. - Column 1: `"UIS v3.0"` – black background, yellow text. - Row 1 - Column 0: `"Price:"` (light grey background). - Column 1: current closing price (`close`) with a semi-transparent blue background. - Row 2 - Column 0: `"SMC:"` - Column 1: - `"ON"` (green) if `show_smc = true` - `"OFF"` (grey) otherwise. - Row 3 - Column 0: `"DCA:"` - Column 1: - `"ON"` (green) if `show_dca = true` - `"OFF"` (grey) otherwise. - Row 4 - Column 0: `"Signal:"` - Column 1: signal text (`status_txt`) with background color `status_col` (green, red, teal, maroon, etc.) - If `show_rec = false`, these cells are cleared. ## Chapter 8 – Visual Legend (Colors, Shapes & Actions) For quick reading inside TradingView, the visual elements are described line by line instead of a table. Chart Element: Green Box Color / Shape: Transparent green rectangle Core Meaning: Bullish Order Block (Demand Zone) Suggested Trader Response: Look for longs, Smart DCA adds, closing or reducing shorts. Chart Element: Red Box Color / Shape: Transparent red rectangle Core Meaning: Bearish Order Block (Supply Zone) Suggested Trader Response: Look for shorts, or take profit on existing longs. Chart Element: Yellow Area Color / Shape: Transparent yellow zone Core Meaning: Bullish FVG / upside imbalance Suggested Trader Response: Short take-profit zone or expected rebalance area. Chart Element: Purple Area Color / Shape: Transparent purple zone Core Meaning: Bearish FVG / downside imbalance Suggested Trader Response: Long take-profit zone or temporary supply region. Chart Element: Green "DCA" Label Color / Shape: Green label with white text, plotted below the candle Core Meaning: Smart ladder-in buy zone, DCA buy opportunity Suggested Trader Response: Spot DCA entry, partial short exit. Chart Element: Red "SELL" Label Color / Shape: Red label with white text, plotted above the candle Core Meaning: Overbought / distribution zone Suggested Trader Response: Take profit on longs, consider initiating shorts. Chart Element: Light Green Background (bgcolor) Color / Shape: Very transparent light-green background behind bars Core Meaning: Active DCA Buy zone Suggested Trader Response: Treat as a discount zone on the chart. Chart Element: Orange Bar on Right Color / Shape: Transparent orange horizontal bar in the volume profile Core Meaning: POC – price with highest traded volume Suggested Trader Response: Strong support or resistance; key reference level. Chart Element: Blue Bars on Right Color / Shape: Transparent blue horizontal bars in the volume profile Core Meaning: Other volume levels, showing high-volume and low-volume nodes Suggested Trader Response: Use to identify balance zones (HVN) and fast-move corridors (LVN). Chart Element: Pink "Spring" Diamond Color / Shape: Pink diamond with white text below the candle Core Meaning: Wyckoff Spring – liquidity grab and potential major bullish reversal Suggested Trader Response: One of the strongest long signals in the suite; look for high-quality long setups with tight risk. Chart Element: STRONG LONG in Dashboard Color / Shape: Green background, white text in the Signal row Core Meaning: Multiple bullish layers in confluence Suggested Trader Response: Consider initiating or increasing longs with strict risk management. Chart Element: STRONG SHORT in Dashboard Color / Shape: Red background, white text in the Signal row Core Meaning: Multiple bearish layers in confluence Suggested Trader Response: Consider initiating or increasing shorts with a logical, well-placed stop. ## Chapter 9 – Timeframe-Based Trading Playbook ### 9.1 Timeframe Selection - Scalping - Timeframes: 1M, 5M, 15M - Objective: fast intraday moves (minutes to a few hours). - Recommendation: focus on SMC + Wyckoff. Smart DCA on very low timeframes may introduce excessive noise. - Day Trading - Timeframes: 15M, 1H, 4H - Provides a good balance between signal quality and frequency. - Recommendation: use the full stack – SMC + DCA + Volume Profile + Wyckoff + Dashboard. - Swing Trading & Position Investing - Timeframes: Daily, Weekly - Emphasis on Smart DCA + Volume Profile. - SMC and Wyckoff are used mainly to fine-tune swing entries within larger trends. ### 9.2 Scenario A – Scalping Long Example: 5-Minute Chart 1. Price is declining into a green OB (Bullish Demand). 2. A candle with a long lower wick and bullish close (Pin Bar / Rejection) forms inside the OB. 3. A Spring diamond appears below the same candle → very strong confluence. 4. The Dashboard shows at least WEAK LONG ↗, ideally STRONG LONG 🚀. 5. Entry: - On the close of the confirmation candle, or - On the first pullback into the mid-range of that candle. 6. Stop-loss: - Slightly below the OB. 7. Targets: - Nearby bearish FVG above, and/or - The next red OB. ### 9.3 Scenario B – Day-Trading Short Recommended Timeframes: 1H or 4H 1. The market completes a strong impulsive move upward. 2. Price enters a red Order Block (Supply). 3. In the same zone, a purple FVG appears or remains unfilled. 4. On a lower timeframe (e.g., 15M), RSI enters overbought territory and a DCA Sell signal appears. 5. The main timeframe Dashboard (1H) shows WEAK SHORT ↘ or STRONG SHORT 🩸. Trade Plan - Open a short near the upper boundary of the red OB. - Place the stop above the OB or above the last swing high. - Targets: - A yellow FVG lower on the chart, and/or - The next green OB (Demand) below. ### 9.4 Scenario C – Swing / Investment with Smart DCA Timeframes: Daily / Weekly 1. On the daily or weekly chart, each time a green “DCA” label appears: - Allocate a fixed fraction of your capital (e.g., 3–5%) to that asset. 2. Check whether this DCA zone aligns with the orange POC of the Volume Profile: - If yes → the quality of the entry zone is significantly higher. 3. If the DCA signal sits inside a daily green OB, the probability of a medium-term bottom increases. 4. Always build the position laddered, never all-in at a single price. Exits for investors: - Near weekly red OBs or large purple FVG zones. - Ideally via partial profit-taking rather than closing 100% at once. ### 9.5 Case Study 1 – BTCUSDT (15-Minute) - Context: Price has sold off down towards 65,000 USD. - A green OB had previously formed at that level. - Near the lower boundary of this OB, a partially filled yellow FVG is present. - As price returns to this region, a Spring appears. - The Dashboard shifts from NEUTRAL / WAIT to WEAK LONG ↗. Plan - Enter a long near the OB low. - Place stop below the Spring low. - First target: a purple FVG around 66,200. - Second (optional) target: the first red OB above that level. ### 9.6 Case Study 2 – Meme Coin (PEPE – 4H) - After a strong pump, price enters a corrective phase. - On the 4H chart, RSI drops below 30; price breaks below the lower Bollinger Band → a DCA label prints. - The Volume Profile shows the POC at approximately the same level. - The Dashboard displays STRONG LONG 🚀. Plan - Execute laddered buys in the combined DCA + POC zone. - Place a protective stop below the last significant swing low. - Target: an expected 20–30% upside move towards the next red OB or purple FVG. ## Chapter 10 – Risk Management, Psychology & Advanced Tuning ### 10.1 Risk Management No signal, regardless of its strength, replaces risk control. Recommendations: - In futures, do not expose more than 1–3% of account equity to risk per trade. - Adjust leverage to the volatility of the instrument (lower leverage for highly volatile altcoins). - Place stop-losses in zones where the idea is clearly invalidated: - Below/above the relevant Order Block or Spring, not randomly in the middle of the structure. ### 10.2 Market-Specific Parameter Tuning - Calmer Markets (e.g., major FX pairs) - `ob_period`: 3–5. - `bb_mult`: 2.0 is usually sufficient. - Highly Volatile Markets (Crypto, news-driven assets) - `ob_period`: 7–10 to highlight only the most robust OBs. - `bb_mult`: 2.5–3.0 so that only extreme deviations trigger DCA. - `vol_ma_len`: increase (e.g., to ~30) so that Spring triggers only on truly exceptional volume spikes. ### 10.3 Trading Psychology - STRONG LONG 🚀 does not mean “risk-free”. It means the probability of a successful long, given the model’s logic, is higher than average. - Treat Mars Signals as a confirmation and context system, not a full replacement for your own decision-making. - Example of disciplined thinking: - The Dashboard prints STRONG LONG, - But price is simultaneously testing a multi-month macro resistance or a major negative news event is imminent, - In such cases, trade smaller, widen stops appropriately, or skip the trade. ## Chapter 11 – Technical Notes & FAQ ### 11.1 Does the Script Repaint? - Order Blocks and Springs are based on completed pivot structures and confirmed candles. - Until a pivot is confirmed, an OB does not exist; after confirmation, behavior is stable under classic SMC assumptions. - The script is designed to be structurally consistent rather than repainting signals arbitrarily. ### 11.2 Computational Load of Volume Profile - On the last bar, the script processes up to `vp_lookback` bars × `vp_rows` rows. - On very low timeframes with heavy zooming, this can become demanding. - If you experience performance issues: - Reduce `vp_lookback` or `vp_rows`, or - Temporarily disable Volume Profile (`show_vp = false`). ### 11.3 Multi-Timeframe Behavior - This version of the script is not internally multi-timeframe. All logic (OB, DCA, Spring, Volume Profile) is computed on the active timeframe only. - Practical workflow: - Analyze overall structure and key zones on higher timeframes (4H / Daily). - Use lower timeframes (15M / 1H) with the same tool for timing entries and exits. ## Conclusion Mars Signals – Ultimate Institutional Suite v3.0 (Joker) is a multi-layer trading framework that unifies: - Price structure (Order Blocks & FVG), - Statistical behavior (Smart DCA via RSI + Bollinger), - Volume distribution by price (Volume Profile with POC, HVN, LVN), - Liquidity events (Wyckoff Spring), into a single, coherent system driven by a transparent Confluence Scoring Engine. The final output is presented in clear, actionable language: > STRONG LONG / WEAK LONG / NEUTRAL / WEAK SHORT / STRONG SHORT The system is designed to support professional decision-making, not to replace it. Used together with strict risk management and disciplined execution, Mars Signals – UIS v3.0 (Joker) can serve as a central reference manual and operational guide for your trading workflow, from scalping to swing and investment positioning.
Pine Script® indicator
by MarsSignals
FVG 3 Candle Detector with Liqui Levels# FVG 3 Candle Detector with Liqui Levels - TradingView Description --- ## 🇬🇧 ENGLISH ### Short Description Detects Fair Value Gaps (FVGs) after Liquidity Sweeps on multiple timeframes. Combines ICT concepts with Smart Money trading strategies. ### Full Description **FVG 3 Candle Detector with Liqui Levels** automatically identifies high-probability trading setups by detecting Swing Highs/Lows across three customizable timeframes and drawing Fair Value Gaps after liquidity breaks. #### 🎯 Key Features **Multi-Timeframe Swing Detection** - Real 3-candle swing formation detection (pivot surrounded by lower highs / higher lows) - Three fully customizable timeframes (default: 5min, 15min, 60min) - Automatic timeframe hierarchy: higher timeframe always takes priority **Smart FVG Detection** - Only draws FVGs in the correct direction after a liquidity sweep - After High Break → Only bearish FVGs - After Low Break → Only bullish FVGs - Customizable number of FVGs per timeframe **Visual Clarity** - Color-coded by timeframe (default: Blue/Green/Orange) - Lines extend until broken by price - Mitigated levels shown transparently #### ⚙️ Settings - **Timeframes:** Freely selectable (e.g., 1min, 5min, 15min, 1H, 4H) - **Colors:** Customizable per timeframe - **FVG Count:** Set how many FVGs to draw after each break - **Mitigation:** Choose between Wick or Close #### 📈 Best Used On - Lower timeframes (30s, 1min) for precise entries - Works on all instruments (Forex, Crypto, Stocks, Futures) #### 💡 Trading Logic 1. Wait for a swing level to be swept (liquidity grab) 2. Look for FVG formation in the opposite direction 3. Enter on FVG for reversal trade ---
Pine Script® indicator
by Merlinas
ParabolicSAR+EMA[TS_Indie]🚀 EMA + Parabolic SAR Reversal Trading Strategy This trading system effectively combines the use of Exponential Moving Averages (EMA) with the Parabolic SAR to identify both price trends and key reversal points. The EMA Fast is used to signal the primary short-term trend, while the EMA Slow acts as a filter for the long-term trend direction. The Parabolic SAR then helps to confirm the reversal signals. 🛠️ Tools Used 1. EMA Fast – Primary Short-Term Trend 2. EMA Slow – Long-Term Trend Filter 3. Parabolic SAR – Reversal Confirmation 🎯 Entry Rules 📈 Buy Setup 1. Trend Filter: EMA Fast > EMA Slow → Uptrend 2. Pullback: Price pulls back and closes below the EMA Fast line. 3. Reversal: Price reverses/pulls back up and closes above the EMA Fast line. 4. SAR Confirmation: The previous Parabolic SAR dot is above the high, and the dot in the current candle is below the low → Reversal signal confirmed. 5. Entry: Enter Buy immediately. 📉 Sell Setup 1. Trend Filter: EMA Fast < EMA Slow → Downtrend 2. Pullback: Price pulls back and closes above the EMA Fast line. 3. Reversal: Price reverses/pulls back down and closes below the EMA Fast line. 4. SAR Confirmation: The previous Parabolic SAR dot is below the low, and the dot in the current candle is above the high → Reversal signal confirmed. 5. Entry: Enter Sell immediately. 💰 Exit Management (Entry, Stop Loss, Take Profit) 1. Entry: Enter the order at the closing price of the signal candle. 2. Stop Loss (SL): Set the Stop Loss at the Parabolic SAR dot. 3. Take Profit (TP): Calculated from the Entry and Stop Loss points, multiplied by the Risk Reward Ratio. ⚙️ Optional Parameters ➭ Custom Risk/Reward Ratio for Take Profit. ➭ Option to add an ATR buffer to the Stop Loss. ➭ Adjustable EMA Fast period. ➭ Adjustable EMA Slow period. ➭ Adjustable Parabolic SAR parameters. ➭ Option to enable Long-only / Short-only positions. ➭ Customizable Backtest start and end date. ➭ Customizable trading session time. 🔔 Alert Function Alerts display: ➭ Entry Price ➭ Stop Loss Price ➭ Take Profit Price 💡 This strategy allows for many parameter adjustments, such as the MA type, adding/subtracting from the Stop Loss using ATR, and selecting specific sessions for backtesting. If you find interesting or profitable results after adjusting the parameters, please share your comments with other traders! ⚠️ Disclaimer This indicator is designed for educational and research purposes only. It does not guarantee profits and should not be considered financial advice. Trading in financial markets involves significant risk , including the potential loss of capital.
Pine Script® strategy
by Truth_Strategy_Indie
Coin Jin Multi SMA+ BB+ SMA forecast Ver2.02This script provides a complete trend-analysis system based on the 5 / 20 / 60 / 112 / 224 / 448 / 896 SMAs. It precisely detects bullish/bearish alignment and automatically identifies 12 advanced trend-shift signals (Start, End, and Reversal). Key Features: ● 9 SMA lines (including custom X1 & X2) Each SMA supports custom color, width, and style (Line/Step/Circles). ● Bollinger Bands with customizable options Fully adjustable length, source, width, style, fill transparency, and more. ● SMA Forecast (curved projection) – Slope computed via linear regression – Predicts up to 30 future bars – Forced dotted style ensures visibility at all zoom levels ● 12 Advanced Trend Signals (alertcondition) Automatically detects: Start of full alignment (with/without SMA 896) End of alignment Bull ↔ Bear transitions Perfect for momentum trading, trend-following, reversal detection, or automated alert systems. ● Labeling last value of each SMA Each SMA prints a label such as "5", “20”, “60”, “896”, or custom lengths at the latest bar. 이 스크립트는 5 / 20 / 60 / 112 / 224 / 448 / 896 이동평균선을 기반으로 정배열·역배열 상태를 정밀하게 분석하고, 총 12가지 고급 추세 신호(시작·종료·전환) 를 자동으로 감지하는 통합 추세 분석 도구입니다. 주요 기능: ● 9개의 SMA 표시 (커스텀 X1, X2 포함) 각 SMA는 색상·굵기·형태(Line/Step/Circle)를 개별 설정할 수 있습니다. ● 볼린저밴드 표시 및 채우기 옵션 BB 길이, 소스, 타입, 두께, 투명도 등을 자유롭게 조절 가능. ● SMA Forecast (미래 방향 곡선 예측) – 기울기 기반 선형회귀 슬로프 계산 – 곡선 형태로 미래 30봉까지 예측 – 점선(Dotted) 강제 적용으로 어떤 배율에서도 선명하게 표시 ● 12가지 고급 추세 신호(alertcondition) 정배열·역배열의 Start (처음 완성될 때) End (깨질 때) Switch (전환) 을 모두 자동 탐지하여 트레이딩뷰 알림으로 받을 수 있음. ● SMA 마지막 가격 라벨 표시 각 SMA 끝 지점에 “5 / 20 / 60 / ... / 896” 식으로 라벨 표시.
Pine Script® indicator
by kimyb1032
coinjin 정·역배열 대시보드 (Progress+Events)This script analyzes trend alignment using the 5 / 20 / 60 / 112 / 224 / 448 / 896 SMAs, providing highly precise detection of bullish and bearish stack conditions, and identifies 12 advanced trend-reversal signals through a multi-timeframe dashboard. 이 스크립트는 5 / 20 / 60 / 112 / 224 / 448 / 896 SMA 기준으로 정배열·역배열 상태를 매우 정교하게 분석하고, 12가지 고급 추세 전환 시그널을 자동 탐지하는 멀티타임프레임 대시보드입니다.
Pine Script® indicator
by kimyb1032
EMA 5/10/20/34/55/60/120/255Overview - Plots eight Exponential Moving Averages on the price chart: EMA(5/10/20/34/55/60/120/255) . - Designed for light (white) theme with high-contrast colors and uniform linewidth=1 . - Written in Pine Script v6 ( overlay=true ), no alerts or extra visuals. Why These Lengths - 5, 10 : Short-term momentum and intraday rhythm. - 20, 34 : Swing trend and pullback structure (34 is Fibonacci-based). - 55, 60 : Deeper swing/weekly alignment commonly used by trend traders. - 120, 255 : Mid/long-term trend filters (~half-year and ~annual trading days). How To Read - Trend filter: Price above EMA(120/255) favors bullish context; below favors bearish. - Alignment: Strong bull trend when 5 > 10 > 20 > 34 > 55 > 60 > 120 > 255 and slopes up; inverse for bear trends. - Pullbacks: Shallow pullbacks often respect 5/10 ; standard pullbacks 20/34 ; deeper tests 55/60 . - Slope matters: Up/flat/down slopes of the longer EMAs ( 120/255 ) reflect trend strength more reliably than single crossovers. Typical Use Cases - Trend following: Trade in the direction of 120/255 and the stacked EMA order. - Pullback entries: Look for stabilizing price action around 20/34 within a trend. - Breakout confirmation: Sustain above/below a key EMA, then retest and hold. - Risk management: Place stops beyond nearby EMAs, optionally buffered by ATR. Tips - Use the Data Window to identify each EMA line by its title ( EMA(5) , EMA(10) , etc.). - Combine with volatility/strength filters (e.g., ATR, ADX) to reduce range-bound noise. - Multi-timeframe consistency (e.g., higher TF EMA(255) aligned with current TF EMA(55/60) ) improves selectivity. Limitations - All moving averages are lagging by design; expect delayed signals. - In consolidations, frequent crossovers can create whipsaws; apply filters or focus on slope and structure. Disclaimer - For educational purposes only. Not financial advice. Always validate on your instruments and timeframes and manage risk accordingly.
Pine Script® indicator
by LiLiam
Time-Decay Liquidity Zones [BackQuant]Time-Decay Liquidity Zones A dynamic liquidity map that turns single-bar exhaustion events into fading, color-graded zones, so you can see where trapped traders and unfinished business still matter, and when those areas have finally stopped pulling price. What this is This indicator detects unusually strong impulsive moves into wicks, converts them into supply or demand “zones,” then lets those zones decay over time. Each zone carries a strength score that fades bar by bar. Zones that stop attracting or rejecting price are gradually de-emphasized and eventually removed, while the most relevant areas stay bright and obvious. Instead of static rectangles that live forever, you get a living liquidity map where: Zones are born from objective criteria: volatility, wick size, and optional volume spikes. Zones “age” using a configurable decay factor and maximum lifetime. Zone color and opacity reflect current relative strength on a unified clear → green → red gradient. Zones freeze when broken, so you can distinguish “active reaction areas” from “historical levels that have already given way”. Conceptual idea Large wicks with strong volatility often mark areas where aggressive orders met hidden liquidity and got absorbed. Price may revisit these areas to test leftover interest or to relieve trapped positions. However, not every wick matters for long. As time passes and more bars print, the market “forgets” some areas. Time-Decay Liquidity Zones turns that idea into a rule-based system: Find bars that likely reflect strong aggressive flows into liquidity. Mark a zone around the wick using ATR-based thickness. Assign a strength score of 1.0 at birth. Each bar, reduce that score by a decay factor and remove zones that fall below a threshold or live too long. Color all surviving zones from weak to strong using a single gradient scale and a visual legend. How events are detected Detection lives in the Event Detection group. The script combines range, wick size, and optional volume filters into simple rules. Volatility filter ATR Length — computes a rolling ATR over your chosen window. This is the volatility baseline. Min range in ATRs — bar range (High–Low) must exceed this multiple of ATR for an event to be considered. This avoids tiny bars triggering zones. Wick filters For each bar, the script splits the candle into body and wicks: Upper wick = High minus the max(Open, Close). Lower wick = min(Open, Close) minus Low. Then it tests: Upper wick condition — upper wick must be larger than Min wick size in ATRs × ATR. Lower wick condition — lower wick must be larger than Min wick size in ATRs × ATR. Only bars with a sufficiently long wick relative to volatility qualify as candidate “liquidity events”. Volume filter Optionally, the script requires a volume spike: Use volume filter — if enabled, volume must exceed a rolling volume SMA by a configurable multiplier. Volume SMA length — period for the volume average. Volume spike multiplier — how many times above the SMA current volume needs to be. This lets you focus only on “heavy” tests of liquidity and ignore quiet bars. Event types Putting it together: Upper event (potential supply / long liquidation, etc.) Occurs when: Upper wick is large in ATR terms. Full bar range is large in ATR terms. Volume is above the spike threshold (if enabled). Lower event (potential demand / short liquidation, etc.) Symmetric conditions using the lower wick. How zones are constructed Zone geometry lives in Zone Geometry . When an event is detected, the script builds a rectangular box that anchors to the wick and extends in the appropriate direction by an ATR-based thickness. For upper (supply-type) zones Bottom of the zone = event bar high. Top of the zone = event bar high + Zone thickness in ATRs × ATR. The zone initially spans only the event bar on the x-axis, but is extended to the right as new bars appear while the zone is active. For lower (demand-type) zones Top of the zone = event bar low. Bottom of the zone = event bar low − Zone thickness in ATRs × ATR. Same extension logic: box starts on the event bar and grows rightward while alive. The result is a band around the wick that scales with volatility. On high-ATR charts, zones are thicker. On calm charts, they are narrower and more precise. Zone lifecycle, decay, and removal All lifecycle logic is controlled by the Decay & Lifetime group. Each zone carries: Score — a floating-point “importance” measure, starting at 1.0 when created. Direction — +1 for upper zones, −1 for lower zones. Birth index — bar index at creation time. Active flag — whether the zone is still considered unbroken and extendable. 1) Active vs broken Each confirmed bar, the script checks: For an upper zone , the zone is counted as “broken” when the close moves above the top of the zone. For a lower zone , the zone is counted as “broken” when the close moves below the bottom of the zone. When a zone breaks: Its right edge is frozen at the previous bar (no further extension). The zone remains on the chart, but is no longer updated by price interaction. It still decays in score until removal. This lets you see where a major level was overrun, while naturally fading its influence over time. 2) Time decay At each confirmed bar: Score := Score × Score decay per bar . A decay value close to 1.0 means very slow decay and long-lived zones. Lower values (closer to 0.9) mean faster forgetting and more current-focused zones. You are controlling how quickly the market “forgets” past events. 3) Age and score-based removal Zones are removed when either: Age in bars exceeds Max bars a zone can live . This is a hard lifetime cap. Score falls below Minimum score before removal . This trims zones that have decayed into irrelevance even if their age is still within bounds. When a zone is removed, its box is deleted and all associated state is freed to keep performance and visuals clean. Unified gradient and color logic Color control lives in Gradient & Color . The indicator uses a single continuous gradient for all zones, above and below price, so you can read strength at a glance without guessing what palette means what. Base colors You set: Mid strength color (green) — used for mid-level strength zones and as the “anchor” in the gradient. High strength color (red) — used for the strongest zones. Max opacity — the maximum visual opacity for the solid part of the gradient. Lower values here mean more solid; higher values mean more transparent. The script then defines three internal points: Clear end — same as mid color, but with a high alpha (close to transparent). Mid end — mid color at the strongest allowed opacity. High end — high color at the strongest allowed opacity. Strength normalization Within each update: The script finds the maximum score among all existing zones. Each zone’s strength is computed as its score divided by this maximum. Strength is clamped into . This means a zone with strength 1.0 is currently the strongest zone on the chart. Other zones are colored relative to that. Piecewise gradient Color is assigned in two stages: For strength between 0.0 and 0.5: interpolate from “clear” green to solid green. Weak zones are barely visible, mid-strength zones appear as solid green. For strength between 0.5 and 1.0: interpolate from solid green to solid red. The strongest zones shift toward the red anchor, clearly separating them from everything else. Strength scale legend To make the gradient readable, the indicator draws a vertical legend on the right side of the chart: About 15 cells from top (Strong) to bottom (Weak). Each cell uses the same gradient function as the zones themselves. Top cell is labeled “Strong”; bottom cell is labeled “Weak”. This legend acts as a fixed reference so you can instantly map a zone’s color to its approximate strength rank. What it plots At a glance, the indicator produces: Upper liquidity zones above price, built from large upper wick events. Lower liquidity zones below price, built from large lower wick events. All zones colored by relative strength using the same gradient. Zones that freeze when price breaks them, then fade out via decay and removal. A strength scale legend on the right to interpret the gradient. There are no extra lines, labels, or clutter. The focus is the evolving structure of liquidity zones and their visual strength. How to read the zones Bright red / bright green zones These are your current “major” liquidity areas. They have high scores relative to other zones and have not yet decayed. Expect meaningful reactions, absorption attempts, or spillover moves when price interacts with them. Faded zones Pale, nearly transparent zones are either old, decayed, or minor. They can still matter, but priority is lower. If these are in the middle of a long consolidation, they often become background noise. Broken but still visible zones Zones whose extension has stopped have been overrun by closing price. They show where a key level gave way. You can use them as context for regime shifts or failed attempts. Absence of zones A chart with few or no zones means that, under your current thresholds, there have not been strong enough liquidity events recently. Either tighten the filters or accept that recent price action has been relatively balanced. Use cases 1) Intraday liquidity hunting Run the indicator on lower timeframes (e.g., 1–15 minute) with moderately fast decay. Use the upper zones as potential sell reaction areas, the lower zones as potential buy reaction areas. Combine with order flow, CVD, or footprint tools to see whether price is absorbing or rejecting at each zone. 2) Swing trading context Increase ATR length and range/wick multipliers to focus only on major spikes. Set slower decay and higher max lifetime so zones persist across multiple sessions. Use these zones as swing inflection areas for larger setups, for example anticipating re-tests after breakouts. 3) Stop placement and invalidation For longs, place invalidation beyond a decaying lower zone rather than in the middle of noise. For shorts, place invalidation beyond strong upper zones. If price closes through a strong zone and it freezes, treat that as additional evidence your prior bias may be wrong. 4) Identifying trapped flows Upper zones formed after violent spikes up that quickly fail can mark trapped longs. Lower zones formed after violent spikes down that quickly reverse can mark trapped shorts. Watching how price behaves on the next touch of those zones can hint at whether those participants are being rescued or squeezed. Settings overview Event Detection Use volume filter — enable or disable the volume spike requirement. Volume SMA length — rolling window for average volume. Volume spike multiplier — how aggressive the volume spike filter is. ATR length — period for ATR, used in all size comparisons. Min wick size in ATRs — minimum wick size threshold. Min range in ATRs — minimum bar range threshold. Zone Geometry Zone thickness in ATRs — vertical size of each liquidity zone, scaled by ATR. Decay & Lifetime Score decay per bar — multiplicative decay factor for each zone score per bar. Max bars a zone can live — hard cap on lifetime. Minimum score before removal — score cut-off at which zones are deleted. Gradient & Color Mid strength color (green) — base color for mid-level zones and the lower half of the gradient. High strength color (red) — target color for the strongest zones. Max opacity — controls the most solid end of the gradient (0 = fully solid, 100 = fully invisible). Tuning guidance Fast, session-only liquidity Shorter ATR length (e.g., 20–50). Higher wick and range multipliers to focus only on extreme events. Decay per bar closer to 0.95–0.98 and moderate max lifetime. Volume filter enabled with a decent multiplier (e.g., 1.5–2.0). Slow, structural zones Longer ATR length (e.g., 100+). Moderate wick and range thresholds. Decay per bar very close to 1.0 for slow fading. Higher max lifetime and slightly higher min score threshold so only very weak zones disappear. Noisy, high-volatility instruments Increase wick and range ATR multipliers to avoid over-triggering. Consider enabling the volume filter with stronger settings. Keep decay moderate to avoid the chart getting overloaded with old zones. Notes This is a structural and contextual tool, not a complete trading system. It does not account for transaction costs, execution slippage, or your specific strategy rules. Use it to: Highlight where liquidity has recently been tested hard. Rank these areas by decaying strength. Guide your attention when layering in separate entry signals, risk management, and higher-timeframe context. Time-Decay Liquidity Zones is designed to keep your chart focused on where the market has most recently “cared” about price, and to gradually forget what no longer matters. Adjust the detection, geometry, decay, and gradient to fit your product and timeframe, and let the zones show you which parts of the tape still have unfinished business.
Pine Script® indicator
by BackQuant
Advanced Triple Strategy ScalperHere are the three scalping strategies presented in the video "3 Scalping Strategies That Work Every Day (Backtested & Proven)" by Asia Forex Mentor – Ezekiel Chew: ### Scalper’s Trend Filter (Triple EMA) This strategy uses three EMAs (25, 50, 100) on the 5-minute chart to filter high-probability trades aligned with momentum . - Only trade when all three EMAs are angled in the same direction and clearly separated (no crossing or tangling) . - Enter when price pulls back toward the 25 or 50 EMA and then bounces back toward the 25 EMA, but do not enter if price closes below the 100 EMA . - Set stop-loss just below the 50 EMA or swing low and aim for a risk-to-reward ratio of 1:1.5 . ### Flip Zone Trap (Reversal Catching) This method identifies precise reversal moments where market structure shifts from weakness to strength . - Use the 15-min chart to locate key support or resistance zones where price previously reacted . - Wait for price to stop making lower lows and begin making higher highs (or vice versa for shorts); confirm with a trendline break AND follow-through (higher lows & highs within 5-7 candles) . - Use confirmation candles (bullish engulfing, pin bar rejection) at the zone before entry . ### Liquidity Shift Trigger (Smart Money Trap) This system leverages institutional stop hunts and liquidity sweeps at key zones for sniper entries . - Start with a 15-min chart to identify structure breaks and points of interest (order blocks, flip zones, demand zones) . - Drop to 1-min chart and wait for price to enter the refined zone and sweep liquidity (sharp wick/spike below/above key level) . - Once liquidity is swept, wait for a clean structure shift (break of most recent internal high or low) within 5–6 candles—if confirmed, refine entry to the candle that caused the break and enter when price returns to that candle with a strong reaction . *** ### Practical Application - These strategies are systematic, rule-based, and designed to cut out fake moves, avoid early stop-outs, and align entries with momentum and institutional activity . - Perfect for short timeframes and volatile pairs like XAUUSD, especially if paired with additional confirmation from other technical analysis tools . All three strategies emphasize filtering noise, waiting for momentum/trend confirmation, and avoiding impulsive entries—key principles for consistent scalping success
Pine Script® indicator
by asifhkin
RSI Ensemble Confidence [CHE]RSI Ensemble Confidence — Measures RSI agreement across multiple lengths and price sources Summary This indicator does not just show you one RSI — it shows you how strongly dozens of different RSI variants agree with each other right now. The Confidence line (0–100) is the core idea: - High Confidence → almost all RSIs see the same thing → clean, reliable situation - Low Confidence → the RSIs contradict each other → the market is messy, RSI signals are questionable How it works (exactly as you wanted it described) 1. Multiple RSIs instead of just one The indicator builds a true ensemble: - 4 lengths (default 8, 14, 21, 34) - 6 price sources (Close, Open, High, Low, HL2, OHLC4 – individually switchable) → When everything is enabled, up to 24 different RSIs are calculated on every single bar. These 24 opinions form a real “vote” about the current market state. 2. Mean and dispersion From all active RSIs it calculates: - rsiMean → the average opinion of the entire ensemble (orange line) - rsiStd → how far the individual RSIs deviate from each other Small rsiStd = they all lie close together → strong agreement Large rsiStd = they are all over the place → contradiction 3. Confidence (0–100) The standard deviation is compared to the user parameter “Max expected StdDev” (default 20): - rsiStd = 0 → Confidence ≈ 100 - rsiStd = maxStd → Confidence ≈ 0 - Everything in between is scaled linearly If only one RSI is active, Confidence is automatically set to ~80 for practicality. What you see on the chart 1. Classic reference RSI – blue line (Close, length 14) → your familiar benchmark 2. Ensemble mean – orange line → the true consensus RSI ±1 StdDev band (optional) → shows dispersion directly: - narrow band = clean, consistent setup - wide band = the RSIs disagree → caution 3. Confidence line (aqua, 0–100) → your quality meter for any RSI signal 4. StdDev histogram (optional, fuchsia columns) → raw dispersion if you prefer the unscaled value 5. Background coloring - Greenish ≥ 80 → high agreement - Orange 60–80 → medium - Reddish < 40 → strong disagreement - Transparent below that 6. Two built-in alerts - High Confidence (crossover 80) - Low Confidence (crossunder 40) Why this indicator is practically useful 1. Perfect filter for all RSI strategies Only trade overbought/oversold, divergences, or failures when Confidence ≥ 70. Skip or reduce size when Confidence < 40. 2. Protection against overinterpretation You immediately see whether a “beautiful” RSI hook is confirmed by the other 23 variants — or whether it’s just one outlier fooling you. 3. Excellent regime detector Long periods of high Confidence = clean trends or clear overbought/oversold phases Constantly low Confidence = choppy, noisy market → RSI becomes almost useless 4. Turns gut feeling into numbers We all sometimes think “this setup somehow doesn’t feel right”. Now you have the exact number that says why. Disclaimer The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context. Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved. By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk. Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts. Best regards and happy trading Chervolino
Pine Script® indicator
by chervolino
H1 Regression Channel + Levels + RSI Divergence (NEON UI)This indicator combines multiple tools for H1 trading analysis: Features: Regression Channel: Automatically plots the upper, middle, and lower regression lines based on H1 data. Strong Levels: Detects pivot highs and lows with a liquidity filter (volume and candle body size) to highlight significant support and resistance levels. RSI + Divergence: Calculates RSI and detects bullish/bearish divergences, displayed in a bright neon table. Neon Table UI: Shows RSI value, Bullish Divergence, and Bearish Divergence clearly and brightly. Liquidity Filter: Only considers pivots with high volume or large candle bodies to improve signal quality. How to Use: Watch the regression channel for trend direction. Use strong levels as potential support/resistance. Check the neon table for RSI readings and divergences. Bullish divergence (YES) indicates potential upward reversal; Bearish divergence (YES) indicates potential downward reversal. Note: The table updates automatically based on pivot formation and RSI divergence detection. Works best on H1 timeframe.
Pine Script® indicator
by Bonavivitalik
Rotation SentinelROTATION SENTINEL v1.1 — OVERVIEW Rotation Sentinel is a macro rotation engine that tracks 10 institutional-grade dominance, liquidity, and trend signals to identify when capital is flowing into altcoins. Each row outputs Green / Yellow / Red, and the system produces a 0–10 Rotation Score plus a final regime: 🔴 NO ROTATION (0–4) 🟡 ROTATION STARTING (5–6) 🟢 ALTSEASON (7–10) Use on Daily timeframe for best accuracy. KEY SIGNALS 1️⃣ BTC.D ex-stables Shows true BTC vs alt strength. 🟢 Falling = capital rotating into alts. 🔴 Rising = alts bleeding. (Master switch.) 2️⃣ OTHERS.D Broad altcoin dominance. 🟢 Rising = early alt strength. 🔴 Falling = weak participation. 3️⃣ ETH/BTC Rotation ignition. 🟢 ETH outperforming = rotation can start. 🔴 ETH lagging = altseason impossible. 4️⃣ STABLE.C.D Crypto “fear index.” 🟢 Falling = risk-on environment. 🔴 Rising = capital hiding in stables. 5️⃣ USDT.D Real-time risk positioning. 🟢 Falling = capital deploying. 🔴 Rising = defensive. 6️⃣ TOTAL3 (HTF Trend) Structural alt market health. 🟢 Above SMA + rising = bullish structure. 🔴 Below SMA + falling = systematic weakness. 7️⃣ TOTAL3 / TOTAL2 Depth of rotation. 🟢 Mid/small caps outperforming = deep rotation. 🔴 Only large caps moving = shallow cycle. 8️⃣ Risk Ratio (OTHERS.D / STABLE.C.D) Pure risk appetite. 🟢 Alts gaining on stables = risk-on. 9️⃣ OTHERS/BTC Alt value vs BTC. 🟢 Rising = alts outperforming BTC. 🔟 Liquidation Heatmap (Manual) Update from Hyblock/Coinalyze. 🟢 Liquidity above = upside easier. ALTSEASON TRIGGER Fires only when all 6 core conditions turn GREEN: BTC.D ex-stables OTHERS.D ETH/BTC STABLE.C.D TOTAL3 structure Rotation Score ≥ threshold (default 7) BEST PRACTICES Use Daily timeframe (macro rotation, not intraday noise) Score < 5 → defensive / selective trades Score 5–6 → early rotation window Score ≥ 7 → confirmed altseason regime Let alerts notify you; no need to manually monitor INCLUDED ALERTS 🚨 ALTSEASON TRIGGERED ⚠️ Rotation Score Crossed Threshold 📈 ETH/BTC Rotation Clock Activated 🔥 OTHERS.D Breaking Higher
Pine Script® indicator
by cdotgnz
Institution Radar Institution Radar Institution Radar compares Price RSI with Volume-Delta RSI to show when price moves are real (backed by volume) or fake (moving without volume). This helps reveal two powerful concepts: Absorption (Bullish or Bearish) Absorption happens when a large limit order is sitting in the order book. Market orders hit it over and over, but the level doesn't break. This usually means: Strong players are absorbing the aggressive orders Price is likely to move in the opposite direction The next candle often reacts immediately Can lead to a full reversal or just a short 1–2 candle move Exhaustion (Bullish or Bearish) Exhaustion happens when institutions pull their limit orders away. There is no real volume behind the move, so price drifts up or down easily. This usually means: The current move is weak A slowdown, pullback, or reversal is likely Often shows up right before a flip in direction 📌 What the Signals Mean Green signal → next candles often push upward Red signal → next candles often push downward These can mark trend reversals or temporary 1–2 candle reactions 🎚️ Sensitivity Setting You can adjust how strict the signals are: Lower sensitivity = more signals, more noise Higher sensitivity = fewer signals, but more accurate and stronger A higher sensitivity is recommended if you only want the cleanest institutional moments.
Pine Script® indicator
by ebecihalil
BTC Macro Heatmap (Fed Cuts & Hikes)🔴 1. Red line – Fed Funds Rate (policy trend) This line tells you what stage of the monetary cycle we’re in. Rising red line = the Fed is hiking → liquidity is tightening → money leaves risk assets like BTC. Flat = pause → markets start pricing in the next move (often sideways BTC). Falling = easing / cutting → liquidity returns → bullish environment builds. The rate of change matters more than the level. When the slope turns down, capital starts seeking yield again — BTC benefits first because it’s the most volatile asset. 💚 2. Dim green zones – detected cuts These are data-based easing events pulled directly from FRED. They show when the actual effective rate began moving down, not necessarily the exact meeting day. Think of them as the Fed’s “foot off the brake” — that’s when risk markets begin responding. 🟩 3. Bright green lines – official FOMC cuts These are the real policy shifts — the Fed formally changed direction. After these appear, BTC historically transitions from accumulation → markup phase. Look at 2020: the bright green lines came right before BTC’s full reversal. You’re seeing the same thing now with the 2025 lines — early-stage liquidity return. 🟠 4. Orange line – DXY (US Dollar Index) DXY is your “risk-off” gauge. When DXY rises, global investors flock to dollars → BTC usually weakens. When DXY peaks and starts dropping, it means risk appetite is coming back → BTC rallies. BTC and DXY are inversely correlated about 70–80% of the time. Watch for DXY lower highs after rate cuts — that’s your macro confirmation of a BTC-friendly environment. 🟦 5. Aqua line – BTC (normalized) You’re not looking for the price itself here, but its shape relative to DXY and the Fed line. When BTC curls up as the red line flattens and DXY rolls over → that’s historically the start of a major bull phase. BTC tends to bottom before the first cut and explode once DXY decisively breaks down. 🧠 Putting it together Here’s the rhythm this chart shows over and over: Fed hikes (red line rising) → BTC weakens, DXY climbs. Fed pauses (red line flat) → BTC stops falling, DXY tops. Fed cuts (dim + bright green) → DXY turns down → BTC begins long recovery → bull cycle starts.
Pine Script® indicator
by NFA-
Tokyo & London Pre-Market Boxes (Local Time)//@version=5 indicator("Daily 10am & 6pm Lines", overlay=true) var line line10 = na var line line18 = na // Convert 10:00 and 18:00 into timestamps for today t10 = timestamp(year, month, dayofmonth, 10, 0) t18 = timestamp(year, month, dayofmonth, 18, 0) // When the bar’s time crosses 10:00, draw a vertical line if (time >= t10 and time < t10) line10 := line.new(x1 = t10, y1 = low, x2 = t10, y2 = high, color=color.blue, width = 1) // When the bar’s time crosses 18:00 (6pm), draw another line if (time >= t18 and time < t18) line18 := line.new(x1 = t18, y1 = low, x2 = t18, y2 = high, color=color.red, width = 1)
Pine Script® indicator
by JayAngel777
RSI to 50 (decimal version) - TemujinTradingSimple indicator that shows the price levels required for the RSI to get to the value of 50. What I observe is 50 rsi often acts as support or resistance and is a fair indication of bullish/bearish sentiment and price action and bounce/rejection levels. It provides a table showing current time frame, 4 hr, daily, weekly describing the current rsi value and the price needed for that rsi to get to 50. This table is colored red when bearish at the time frame and green when bullish (as per <50 rsi or >50rsi). Plots historical lines of each previous candle in the series showing how price interacts. Updated script to allow manual input of price decimals to enable more assets price to be viewable in the table format.
Pine Script® indicator
by TemujinTrading
1
RSI to 50 - TemujinTradingSimple indicator that shows the price levels required for the RSI to get to the value of 50. What I observe is 50 rsi often acts as support or resistance and is a fair indication of bullish/bearish sentiment and price action and bounce/rejection levels. It provides a table showing current time frame, 4 hr, daily, weekly describing the current rsi value and the price needed for that rsi to get to 50. This table is colored red when bearish at the time frame and green when bullish (as per <50 rsi or >50rsi). Plots historical lines of each previous candle in the series showing how price interacts.
Pine Script® indicator
by TemujinTrading