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Bill Williams Göstergeleri

Liquidity Gravity Engine [Pineify]```markdown Liquidity Gravity Engine - Market Structure, Displacement, Liquidity Rails Overview Liquidity Gravity Engine is a market structure + liquidity visualization indicator designed to help you read flow , impulse , and liquidity magnets on any symbol and timeframe. Instead of relying on a single moving average, it builds a dynamic “flow ribbon” from confirmed swing structure, highlights displacement candles that create imbalance (FVG-style gaps), and projects unmitigated swing levels as liquidity rails that price often revisits. Key Features Liquid Flow Ribbon: a structure-based dynamic band that adapts to volatility. Displacement Highlighting: flags momentum candles that expand beyond ATR and form an imbalance. Liquidity Rails: extends unmitigated swing highs/lows as potential targets until swept. Trend Context: displacement is filtered using the ribbon’s smoothed centerline. How It Works Market Structure (Swings) : swing highs/lows are detected using pivot logic over your “Structure Lookback”. Pivots become confirmed only after the lookback window completes, which means historical swing points can update until they are confirmed. Flow Construction : the most recent confirmed swing high and swing low define a top and bottom boundary. Their midpoint is then smoothed with an EMA to create the “liquid” centerline. Displacement + Imbalance : a candle is considered displacement when its range expands beyond ATR(14) × Displacement Factor and it creates a simple FVG-style gap (current low above the high two bars back for bullish, or current high below the low two bars back for bearish). The bar is then filtered by being on the correct side of the smoothed flow center. Liquidity Rails : each new confirmed swing high/low can become a dotted rail. Rails extend forward and are removed once price sweeps beyond the level (mitigation), keeping the chart focused on active liquidity. Trading Ideas and Insights Use the ribbon as context : bias is stronger when price holds one side of the flow centerline. Treat displacement markers as impulse confirmation : they often appear at breakout moments or at the start of expansions. Use liquidity rails as magnets : unmitigated swing highs/lows can act as targets for continuation or mean-reversion moves. Combine structure + displacement: a sweep into a rail followed by an opposite displacement can hint at a reversal attempt. How Multiple Components Work Together This indicator is intentionally built as a single liquidity-driven workflow: Swings define structure. Structure defines the flow ribbon (trend/volatility context). The ribbon filters displacement so you see momentum that aligns with flow. Liquidity rails provide objective target zones derived from the same swing structure. The result is a cohesive view of market structure flow, institutional-style displacement, and liquidity targets without stacking multiple separate indicators. Unique Aspects Structure-first ribbon: the band is anchored to confirmed swing points, not just a price average. Imbalance-aware displacement: requires both range expansion and a gap-style condition, reducing generic “big candle” noise. Self-cleaning liquidity rails: mitigated levels are removed to keep the chart readable. How to Use Start with defaults on a clean chart. Identify the flow: price above the smoothed centerline favors bullish flow; below favors bearish flow. Watch for displacement diamonds (“D”): they often validate a push away from structure and can mark the start of a leg. Plan around rails: treat dotted lines as potential objectives and areas where reactions/sweeps can occur. Customization Structure Lookback : smaller values = more sensitive swings; larger values = cleaner, slower structure. Displacement Factor : higher values = fewer, stronger displacement bars; lower values = more signals. Show Liquidity Rails + Liquidity Lookback : control whether rails are plotted and how active levels are emphasized. Visuals : adjust bullish/bearish flow colors and liquidity line styling for your chart theme. Conclusion Liquidity Gravity Engine helps you map market structure, highlight displacement and imbalance (FVG-style) momentum, and visualize liquidity targets with rails that stay relevant until swept. Use it for trend context, breakout confirmation, and liquidity-based trade planning on forex, crypto, stocks, and indices.
Pine Script® göstergesi
Pineify tarafından
Piv X# Piv X Pro - Multi-Layer Reversal Detection System ## Overview Piv X Pro is an advanced technical analysis indicator that combines dynamic pivot detection, Williams %R momentum divergence analysis, and multiple VWAP anchoring methods to identify high-probability mean reversion opportunities. Unlike simple indicator combinations, this script implements a layered filtration system where each component validates and refines signals from the previous layer, resulting in significantly fewer but higher-quality reversal setups. ## Core Methodology ### 1. Dynamic ATR-Based Pivot Detection The script uses an adaptive pivot detection algorithm that adjusts sensitivity based on market volatility. Instead of fixed lookback periods, pivot strength is calculated dynamically using Average True Range (ATR): **Calculation:** `pivot_strength = max(min_strength, min(ATR / mintick * multiplier, max_strength))` This ensures: - More sensitive pivots in low volatility (smaller ATR) - More significant pivots in high volatility (larger ATR) - Automatic adaptation across different market conditions and timeframes **Significance Filtering:** Pivots must exceed a minimum ATR distance from recent price action (default 0.3 ATR) to filter noise. This prevents minor price fluctuations from being marked as significant pivots. **Volume Confirmation (Optional):** Pivots can optionally require volume spikes (default 1.5x average volume) to ensure institutional participation. ### 2. Williams %R Momentum Divergence Engine The script detects classic and hidden divergences between price pivots and Williams %R oscillator readings: **Bullish Divergence Detection:** - Price makes a lower low (confirmed pivot low) - Williams %R makes a higher low (momentum improving) - Divergence occurs in oversold zone (Williams %R ≤ -80) - Lookback range: 60 bars maximum **Bearish Divergence Detection:** - Price makes a higher high (confirmed pivot high) - Williams %R makes a lower high (momentum weakening) - Divergence occurs in overbought zone (Williams %R ≥ -20) - Lookback range: 60 bars maximum **Divergence-Anchored VWAPs:** When a divergence is detected, a new VWAP calculation begins from that point, tracking institutional positioning relative to the momentum shift. This provides a dynamic mean reversion target that resets at each confirmed divergence. ### 3. Confluence Scoring System Each detected pivot receives a numerical score (0-150+ points) based on multiple independent confirmation factors: **Scoring Components:** - Base Pivot Detection: 10 points - Volume Spike Confirmation: 15 points - Higher Timeframe Trend Alignment (4H EMA): 20 points - RSI Extreme Levels (oversold/overbought): 25 points - Mean Reversion Distance (>2.5 ATR from HTF MA): 20 points - Exhaustion Patterns (price move + volume spike): 10 points - ATR Price Confirmation: 10 points - RSI Divergence: 15 points - Swing Failure Pattern (SFP): 15 points - Liquidity Sweep: 10 points - Candle Reversal Confirmation: 10 points - Key Level Alignment (previous day/week highs/lows): 10 points - Fair Value Gap (FVG) Fill: 10 points - Session Weighting (London/NY sessions): 10 points - Multi-Timeframe Pivot Confluence: 15 points **Zone Classification:** - Regular Zones: Score 60-89 (green/purple boxes) - Golden Zones: Score 90+ (yellow boxes with thicker borders) Higher scores indicate stronger confluence and higher probability setups, but no prediction is guaranteed. ### 4. Mean Reversion Distance Filter The script calculates how far price has stretched from the higher timeframe moving average: **Calculation:** `distance_from_htf_ma = (close - HTF_EMA) / ATR` **Mean Reversion Condition:** - For long setups: Price >2.5 ATR below HTF EMA when HTF trend is up - For short setups: Price >2.5 ATR above HTF EMA when HTF trend is down This ensures pivots are only highlighted when price is statistically stretched and likely to revert toward the mean. ### 5. Multi-Period VWAP Framework The script provides multiple VWAP calculations for different analysis purposes: **Extreme VWAPs:** - Bottom VWAP: Anchored to the absolute lowest low in the lookback period (default 50 bars) - Top VWAP: Anchored to the absolute highest high in the lookback period **Periodic VWAPs:** - 4D VWAP: Resets every 4 days - 9D VWAP: Resets every 9 days - 4H VWAP: Resets every 4 hours - 8H VWAP: Resets every 8 hours - Weekly VWAP: Resets at the start of each week - Monthly VWAP: Resets at the start of each month - Yearly VWAP: Resets at the start of each year **Previous Period VWAPs:** - Previous Weekly, Monthly, and Yearly VWAPs are displayed as reference levels for support/resistance **Divergence VWAPs:** - Bullish Divergence VWAP: Resets at each bullish Williams %R divergence - Bearish Divergence VWAP: Resets at each bearish Williams %R divergence ### 6. IBSS Pro Mean Reversion System An integrated scalping system that provides entry signals within high-probability pivot zones: **Components:** - Dual EMA System: Fast EMA (12) and Slow EMA (26) with color-coded trend visualization - RSI Oversold/Overbought Detection: Configurable levels (default 30/70) - Zone-Based Entry: Signals only trigger when price is within active pivot zones (0.3 ATR around confirmed pivots) - ATR-Based Dynamic Stops: Stop losses trail with position using ATR multiplier **Signal Generation:** - Buy signals: RSI crosses above oversold + Fast EMA > Slow EMA + Price in pivot low zone - Sell signals: RSI crosses below overbought + Fast EMA < Slow EMA + Price in pivot high zone ## Why This Combination is Unique This is not a simple indicator mashup. The components work together in a specific hierarchy: 1. **Williams %R Divergence** identifies momentum shifts before price confirms the reversal 2. **Dynamic Pivots** mark actual price structure extremes with ATR-based significance filtering 3. **Confluence Scoring** quantifies setup quality using 10+ independent confirmation factors 4. **Mean Reversion Distance** confirms price is statistically stretched (>2.5 ATR from HTF MA) 5. **VWAP Framework** tracks institutional positioning and provides objective mean levels 6. **IBSS Signals** provide precise entries within high-probability zones Each layer filters the previous one, resulting in significantly fewer but higher-quality signals than any single indicator alone. The divergence-anchored VWAPs are unique - they reset at momentum shifts rather than arbitrary time periods, providing more relevant mean reversion targets. ## How to Use This Indicator ### For Swing Trading (15m-1H Charts) 1. Wait for a major pivot to form (diamond marker appears below/above bars) 2. Check the confluence score displayed in the zone label 3. Look for Golden Zones (score 90+, yellow boxes with thicker borders) 4. Enter when price enters the pivot zone (0.3 ATR around the pivot) 5. Use the nearest VWAP level as first target 6. Set stop loss beyond the pivot zone (typically 0.5-1 ATR) ### For Scalping (5m-15m Charts) 1. Enable IBSS Pro Signals in settings 2. Wait for price to enter an active pivot zone (colored boxes appear) 3. Take IBSS diamond signals that form within zones 4. Use ATR-based stop losses (dashed lines appear automatically if enabled) 5. Exit at pivot VWAP or opposite zone edge ### Visual Elements Explained - **White/Purple Crosses**: Williams Divergence VWAPs (momentum-based mean reversion targets) - **Green/Red Crosses**: Bottom/Top VWAPs (absolute extreme levels) - **Colored Boxes**: Pivot reversal zones (opacity indicates confluence score) - **Yellow Boxes**: Golden zones (90+ score, highest probability setups) - **Small Diamonds**: Regular pivot detections - **Green/Red Tiny Diamonds**: IBSS scalp entry signals (if enabled) - **White/Purple MAs**: IBSS trend filter (12/26 EMA with cloud) - **Dotted Lines**: Structure lines connecting consecutive pivots of same type - **Blue Dashed Lines**: Market Structure Shift (CHoCH) markers ### Recommended Settings **Conservative (Lower Timeframes 1m-5m):** - ATR Pivot Strength: 0.8-1.0 - Volume Threshold: 2.0 - Min Pivot Significance: 0.4-0.5 - Enable ATR Confirmation: Yes - Real-Time Mode: Off - Score Threshold: 80+ **Aggressive (Higher Timeframes 15m-1H):** - ATR Pivot Strength: 0.6-0.8 - Volume Threshold: 1.5 - Min Pivot Significance: 0.3 - Enable ATR Confirmation: No - Real-Time Mode: On - Score Threshold: 60+ ## Chart Requirements This indicator should be used **alone on a clean chart** with: - Standard candlestick or bar chart type (NO Heikin Ashi, Renko, Point & Figure, or Range charts) - No other indicators overlaid (all functionality is self-contained) - Symbol and timeframe clearly visible in chart - Full indicator name "Piv X Pro" visible in chart legend ## Important Disclaimers - Past performance does not guarantee future results - All signals are probabilistic indicators, not trading guarantees - Use proper risk management and position sizing - Test thoroughly on demo accounts before live trading - Higher confluence scores indicate better setups but no prediction is certain - Mean reversion strategies work best in ranging/choppy markets; may underperform in strong trending markets - The lookahead bias warning: HTF EMA uses `barmerge.lookahead_on` for trend filtering only (not for signal generation), which may cause historical bars to show different trend states than real-time ## Key Differentiators Unlike basic pivot or VWAP indicators: - **Dynamic ATR-based pivot detection** vs static lookback periods - **Quantified confluence scoring** vs subjective interpretation - **Mean reversion distance filtering** (>2.5 ATR from HTF MA) vs all pivots shown - **Divergence-anchored VWAPs** vs static period VWAPs - **Multi-layer confirmation system** (10+ independent factors) vs single signal generation - **Integrated scalping system** that only triggers in high-probability zones This script is open-source and available for educational purposes. Users are encouraged to understand the methodology before using it for live trading decisions.
Pine Script® göstergesi
RickyTSpanish tarafından
Azamet StratejiAzamet Strategy: Multi-Timeframe Williams Vix Fix & RSI Bands System This script is a comprehensive trend-following and reversal detection system designed to identify "Extreme Fear" (Bottoms) and "Extreme Euphoria" (Tops). It combines volatility-based indicators with momentum oscillators to provide a disciplined roadmap for medium to long-term investors. Core Logic & Methodology: Bottom Detection (WVF Green Zone): Utilizes the classic Williams Vix Fix algorithm to spot panic-selling events. Green bars on Weekly timeframes signal high-probability long-term accumulation zones. Top Detection (Inverse WVF Yellow Zone): A custom "Inverse WVF" logic that measures how far price has surged from its recent lows. It highlights "Yellow" zones where market greed and euphoria are at peak levels. Confirmed Exit Mechanism: To avoid exiting too early during strong bull runs, the strategy requires a minimum of 2 bars of euphoria (Yellow bars). The final "SELL" signal is triggered only after the euphoria fades (Yellow bars end), confirming a trend reversal. RSI Bands Targeting: Integrated LazyBear RSI Bands visualize the price level where RSI would hit 70, providing a clear dynamic resistance target on the chart. How to Use: BUY: Look for "AL" labels following Green WVF bars on Weekly or Daily timeframes for staggered entries. MONITOR: Prepare for profit-taking as the price approaches the Red RSI 70 Band. SELL: The "SAT - TREND BİTTİ" (Trend Ended) label triggers the primary exit point after the Yellow exhaustion bars disappear. Technical Parameters: Lookback Period: 22 (Standard for WVF) BB Length/StdDev: 20 / 2.0 (For volatility boundaries) Confirmation Rule: Min. 2 Yellow bars before a sell trigger.
Pine Script® göstergesi
Azametgokturk820 tarafından
VWAP Suite (Updated 3W + Long Term)VWAP Suite (Updated 3W + Long Term)VWAP Suite (Updated 3W + Long Term)VWAP Suite (Updated 3W + Long Term)VWAP Suite (Updated 3W + Long Term)VWAP Suite (Updated 3W + Long Term)VWAP Suite (Updated 3W + Long Term)VWAP Suite (Updated 3W + Long Term)VWAP Suite (Updated 3W + Long Term)VWAP Suite (Updated 3W + Long Term)VWAP Suite (Updated 3W + Long Term)VWAP Suite (Updated 3W + Long Term)VWAP Suite (Updated 3W + Long Term)VWAP Suite (Updated 3W + Long Term)VWAP Suite (Updated 3W + Long Term)VWAP Suite (Updated 3W + Long Term)VWAP Suite (Updated 3W + Long Term)v
Pine Script® göstergesi
ldraco tarafından
TJR asia session sweep//@version=5 strategy("TJR asia session sweep", "TJR Asia Sweep", overlay=true, max_lines_count=500, max_labels_count=500) // Input settings show_asian = input.bool(true, "Show Asian Session", group="Visual Settings") show_london = input.bool(true, "Show London Session", group="Visual Settings") show_swing_points = input.bool(true, "Show Asian Swing Points", group="Visual Settings") show_market_structure = input.bool(true, "Show Market Structure", group="Visual Settings") show_bos = input.bool(true, "Show Break of Structure", group="Visual Settings") // Session Time Settings asian_start_hour_input = input.int(22, "Asian Session Start Hour", minval=0, maxval=23, group="Session Times") asian_end_hour_input = input.int(3, "Asian Session End Hour", minval=0, maxval=23, group="Session Times") london_start_hour_input = input.int(3, "London Session Start Hour", minval=0, maxval=23, group="Session Times") london_end_hour_input = input.int(8, "London Session End Hour", minval=0, maxval=23, group="Session Times") session_timezone = input.string("America/New_York", "Session Timezone", options= , group="Session Times") // Risk Management Settings use_atr_sl = input.bool(false, "Use ATR Multiplier for Stop Loss", group="Risk Management") atr_length = input.int(14, "ATR Length", minval=1, maxval=50, group="Risk Management") atr_multiplier = input.float(2.0, "ATR Multiplier for Stop Loss", minval=0.5, maxval=10.0, group="Risk Management") force_london_close = input.bool(true, "Force Close at London Session End", group="Risk Management") cutoff_minutes = input.int(60, "Minutes Before Session End to Stop New Trades", minval=0, maxval=300, group="Risk Management") // Position Sizing Settings position_sizing_method = input.string("USD Risk", "Position Sizing Method", options= , group="Position Sizing") usd_risk_per_trade = input.float(100.0, "USD Risk Per Trade", minval=1.0, maxval=10000.0, group="Position Sizing") fixed_contracts = input.float(1.0, "Fixed Number of Contracts", minval=0.01, maxval=1000.0, step=0.01, group="Position Sizing") // Color settings asian_color = input.color(color.red, "Asian Session Color") london_color = input.color(color.blue, "London Session Color") swing_high_color = input.color(color.orange, "Swing High Color") swing_low_color = input.color(color.lime, "Swing Low Color") bullish_structure_color = input.color(color.green, "Bullish Structure Color") bearish_structure_color = input.color(color.red, "Bearish Structure Color") bos_color = input.color(color.orange, "Break of Structure Color") // Line settings line_width = input.int(2, "Line Width", minval=1, maxval=5) // ATR calculation for stop loss atr = ta.atr(atr_length) // Position size calculation function calculate_position_size(entry_price, stop_loss_price) => var float position_size = na if position_sizing_method == "Fixed Contracts" position_size := fixed_contracts else // USD Risk method stop_distance = math.abs(entry_price - stop_loss_price) if stop_distance > 0 // Calculate position size based on USD risk per trade // For forex: position_size = risk_amount / (stop_distance * point_value) // For most forex pairs, point value = 1 (since we're dealing with price differences directly) position_size := usd_risk_per_trade / stop_distance else position_size := fixed_contracts // Fallback to fixed contracts if stop distance is 0 position_size // Session time definitions (using input variables) asian_start_hour = asian_start_hour_input asian_end_hour = asian_end_hour_input london_start_hour = london_start_hour_input london_end_hour = london_end_hour_input // Get current hour using selected timezone current_hour = hour(time, session_timezone) // Previous hour for transition detection prev_hour = hour(time , session_timezone) // Session transition detection asian_start = current_hour == asian_start_hour and prev_hour != asian_start_hour asian_end = current_hour == asian_end_hour and prev_hour != asian_end_hour london_start = current_hour == london_start_hour and prev_hour != london_start_hour london_end = current_hour == london_end_hour and prev_hour != london_end_hour // Session activity detection asian_active = (current_hour >= asian_start_hour) or (current_hour < asian_end_hour) london_active = (current_hour >= london_start_hour) and (current_hour < london_end_hour) // Session boxes - keep previous sessions visible var box asian_session_box = na var box london_session_box = na // Create Asian session box if show_asian and asian_start // Create new box at session start (previous box remains visible) asian_session_box := box.new(bar_index, high, bar_index + 1, low, border_color=asian_color, bgcolor=color.new(asian_color, 90), border_width=2, border_style=line.style_solid) // Pre-calculate session highs and lows for consistency asian_session_length = asian_active and not na(asian_session_box) ? bar_index - box.get_left(asian_session_box) + 1 : 1 current_asian_high = ta.highest(high, asian_session_length) current_asian_low = ta.lowest(low, asian_session_length) // Update Asian session box continuously during session if show_asian and asian_active and not na(asian_session_box) box.set_right(asian_session_box, bar_index) // Update box to contain session highs and lows box.set_top(asian_session_box, current_asian_high) box.set_bottom(asian_session_box, current_asian_low) // Create London session box if show_london and london_start // Create new box at session start (previous box remains visible) london_session_box := box.new(bar_index, high, bar_index + 1, low, border_color=london_color, bgcolor=color.new(london_color, 90), border_width=2, border_style=line.style_solid) // Pre-calculate London session highs and lows for consistency london_session_length = london_active and not na(london_session_box) ? bar_index - box.get_left(london_session_box) + 1 : 1 current_london_high = ta.highest(high, london_session_length) current_london_low = ta.lowest(low, london_session_length) // Update London session box continuously during session if show_london and london_active and not na(london_session_box) box.set_right(london_session_box, bar_index) // Update box to contain session highs and lows box.set_top(london_session_box, current_london_high) box.set_bottom(london_session_box, current_london_low) // Asian Session Swing Points Detection var float asian_session_high = na var float asian_session_low = na var int asian_high_bar = na var int asian_low_bar = na // Asian Session Absolute High/Low for TP levels var float asian_absolute_high = na var float asian_absolute_low = na var line asian_high_line = na var line asian_low_line = na var label asian_high_label = na var label asian_low_label = na var bool high_broken = false var bool low_broken = false // London Session High/Low tracking for stop loss var float london_session_high = na var float london_session_low = na // Market structure tracking variables var string breakout_direction = na // "bullish" or "bearish" var float last_hh_level = na // Last Higher High level var float last_hl_level = na // Last Higher Low level var float last_ll_level = na // Last Lower Low level var float last_lh_level = na // Last Lower High level var int structure_count = 0 var string last_structure_type = na // "HH", "HL", "LL", "LH" // Legacy variables for compatibility var float last_swing_high = na var float last_swing_low = na var int last_high_bar = na var int last_low_bar = na // Market structure state tracking var float pending_high = na var float pending_low = na var int pending_high_bar = na var int pending_low_bar = na var bool waiting_for_confirmation = false // Break of Structure tracking variables var float most_recent_hl = na var float most_recent_lh = na var int most_recent_hl_bar = na var int most_recent_lh_bar = na var bool bos_detected = false // Trading variables var bool trade_taken = false // Trade visualization boxes (based on Casper strategy approach) var box current_profit_box = na var box current_sl_box = na // Update swing points during Asian session if asian_active and show_swing_points // Always track absolute high/low for both TP levels and breakout detection if na(asian_absolute_high) or high > asian_absolute_high asian_absolute_high := high if na(asian_absolute_low) or low < asian_absolute_low asian_absolute_low := low // Use absolute high/low for breakout levels (simplified logic) if na(asian_session_high) or high > asian_session_high asian_session_high := high asian_high_bar := bar_index if na(asian_session_low) or low < asian_session_low asian_session_low := low asian_low_bar := bar_index // Track London session high/low for stop loss levels if london_active if na(london_session_high) or high > london_session_high london_session_high := high if na(london_session_low) or low < london_session_low london_session_low := low // Draw initial lines when Asian session ends if asian_end and show_swing_points if not na(asian_session_high) and not na(asian_high_bar) // Draw extending line for high asian_high_line := line.new(asian_high_bar, asian_session_high, bar_index + 200, asian_session_high, color=swing_high_color, width=2, style=line.style_dashed, extend=extend.right) asian_high_label := label.new(bar_index + 5, asian_session_high, "Asian High: " + str.tostring(asian_session_high, "#.####"), style=label.style_label_left, color=swing_high_color, textcolor=color.white, size=size.small) if not na(asian_session_low) and not na(asian_low_bar) // Draw extending line for low asian_low_line := line.new(asian_low_bar, asian_session_low, bar_index + 200, asian_session_low, color=swing_low_color, width=2, style=line.style_dashed, extend=extend.right) asian_low_label := label.new(bar_index + 5, asian_session_low, "Asian Low: " + str.tostring(asian_session_low, "#.####"), style=label.style_label_left, color=swing_low_color, textcolor=color.white, size=size.small) // Reset break flags for new session high_broken := false low_broken := false // Check for breakouts during London session if london_active and show_swing_points and not na(asian_session_high) and not na(asian_session_low) // Check if Asian high is broken if not high_broken and not low_broken and high > asian_session_high high_broken := true // Update high line to end at break point if not na(asian_high_line) line.set_x2(asian_high_line, bar_index) line.set_extend(asian_high_line, extend.none) // Remove the low line (first break wins) if not na(asian_low_line) line.delete(asian_low_line) if not na(asian_low_label) label.delete(asian_low_label) // Add break marker label.new(bar_index, asian_session_high * 1.001, "HIGH BREAK!", style=label.style_label_down, color=color.red, textcolor=color.white, size=size.normal) // Set breakout direction and initialize structure tracking breakout_direction := "bullish" last_swing_high := asian_session_high last_swing_low := asian_session_low last_high_bar := bar_index structure_count := 0 // Check if Asian low is broken if not low_broken and not high_broken and low < asian_session_low low_broken := true // Update low line to end at break point if not na(asian_low_line) line.set_x2(asian_low_line, bar_index) line.set_extend(asian_low_line, extend.none) // Remove the high line (first break wins) if not na(asian_high_line) line.delete(asian_high_line) if not na(asian_high_label) label.delete(asian_high_label) // Add break marker label.new(bar_index, asian_session_low * 0.999, "LOW BREAK!", style=label.style_label_up, color=color.red, textcolor=color.white, size=size.normal) // Set breakout direction and initialize structure tracking breakout_direction := "bearish" last_swing_high := asian_session_high last_swing_low := asian_session_low last_low_bar := bar_index structure_count := 0 // Stop extending lines when London session ends (if not already broken) if london_end and show_swing_points if not high_broken and not na(asian_high_line) line.set_x2(asian_high_line, bar_index) line.set_extend(asian_high_line, extend.none) if not low_broken and not na(asian_low_line) line.set_x2(asian_low_line, bar_index) line.set_extend(asian_low_line, extend.none) // Force close all trades at London session end (if enabled) if london_end and force_london_close if strategy.position_size != 0 // Extend boxes immediately before session close to prevent timing issues if not na(current_profit_box) // Ensure minimum 8 bars width or extend to current bar, whichever is longer box_left = box.get_left(current_profit_box) min_right = box_left + 8 final_right = math.max(min_right, bar_index) box.set_right(current_profit_box, final_right) current_profit_box := na // Clear reference after extending if not na(current_sl_box) // Ensure minimum 8 bars width or extend to current bar, whichever is longer box_left = box.get_left(current_sl_box) min_right = box_left + 8 final_right = math.max(min_right, bar_index) box.set_right(current_sl_box, final_right) current_sl_box := na // Clear reference after extending strategy.close_all(comment="London Close") trade_taken := false // Reset trade flag for next session // Market structure detection after breakout (only during London session and before first BoS) if show_market_structure and not na(breakout_direction) and london_active and not bos_detected // Bullish structure tracking (HH, HL alternating) if breakout_direction == "bullish" // Check for Higher High pattern: Bullish candle followed by bearish candle pattern_high = math.max(high , high) prev_hh = na(last_hh_level) ? last_swing_high : last_hh_level // HH Detection: Only if we expect HH next (no last structure or last was HL) if (na(last_structure_type) or last_structure_type == "HL") and close > open and close < open and pattern_high > prev_hh and close > prev_hh // Check consolidation is_too_close = not na(last_high_bar) and (bar_index - last_high_bar) <= 4 should_create_hh = true if is_too_close and structure_count > 0 and pattern_high <= last_hh_level should_create_hh := false if should_create_hh structure_count := structure_count + 1 label.new(bar_index - 1, high + (high * 0.0003), "HH" + str.tostring(structure_count), style=label.style_none, color=color.new(color.white, 100), textcolor=color.white, size=size.small) last_hh_level := pattern_high last_swing_high := pattern_high last_high_bar := bar_index last_structure_type := "HH" // HL Detection: Only if we expect HL next (last was HH) pattern_low = math.min(low , low) prev_hl = na(last_hl_level) ? last_swing_low : last_hl_level if last_structure_type == "HH" and close < open and close > open and pattern_low > prev_hl and close > prev_hl // Check consolidation is_too_close = not na(last_low_bar) and (bar_index - last_low_bar) <= 4 should_create_hl = true if is_too_close and pattern_low <= last_hl_level should_create_hl := false if should_create_hl structure_count := structure_count + 1 label.new(bar_index - 1, low - (low * 0.0003), "HL" + str.tostring(structure_count), style=label.style_none, color=color.new(color.white, 100), textcolor=color.white, size=size.small) last_hl_level := pattern_low most_recent_hl := pattern_low // Update most recent HL for BoS detection most_recent_hl_bar := bar_index - 1 // Store HL bar position last_low_bar := bar_index last_structure_type := "HL" // Bearish structure tracking (LL, LH alternating) if breakout_direction == "bearish" // Check for Lower Low pattern: Bearish candle followed by bullish candle pattern_low = math.min(low , low) prev_ll = na(last_ll_level) ? last_swing_low : last_ll_level // LL Detection: Only if we expect LL next (no last structure or last was LH) if (na(last_structure_type) or last_structure_type == "LH") and close < open and close > open and pattern_low < prev_ll and close < prev_ll // Check consolidation is_too_close = not na(last_low_bar) and (bar_index - last_low_bar) <= 4 should_create_ll = true if is_too_close and structure_count > 0 and pattern_low >= last_ll_level should_create_ll := false if should_create_ll structure_count := structure_count + 1 label.new(bar_index - 1, low - (low * 0.0003), "LL" + str.tostring(structure_count), style=label.style_none, color=color.new(color.white, 100), textcolor=color.white, size=size.small) last_ll_level := pattern_low last_swing_low := pattern_low last_low_bar := bar_index last_structure_type := "LL" // LH Detection: Only if we expect LH next (last was LL) pattern_high = math.max(high , high) prev_lh = na(last_lh_level) ? last_swing_high : last_lh_level if last_structure_type == "LL" and close > open and close < open and pattern_high < prev_lh and close < prev_lh // Check consolidation is_too_close = not na(last_high_bar) and (bar_index - last_high_bar) <= 4 should_create_lh = true if is_too_close and pattern_high >= last_lh_level should_create_lh := false if should_create_lh structure_count := structure_count + 1 label.new(bar_index - 1, high + (high * 0.0003), "LH" + str.tostring(structure_count), style=label.style_none, color=color.new(color.white, 100), textcolor=color.white, size=size.small) last_lh_level := pattern_high most_recent_lh := pattern_high // Update most recent LH for BoS detection most_recent_lh_bar := bar_index - 1 // Store LH bar position last_high_bar := bar_index last_structure_type := "LH" // Check if we're within the cutoff period before London session end current_minute = minute(time, session_timezone) london_end_time_minutes = london_end_hour * 60 // Convert London end hour to minutes current_time_minutes = current_hour * 60 + current_minute // Current time in minutes // Calculate minutes remaining in London session london_session_minutes_remaining = london_end_time_minutes - current_time_minutes // Handle day rollover case (e.g., if london_end is 8:00 (480 min) and current is 23:30 (1410 min)) if london_session_minutes_remaining < 0 london_session_minutes_remaining := london_session_minutes_remaining + (24 * 60) // Add 24 hours in minutes // Only allow trades if more than cutoff_minutes remaining in London session allow_new_trades = london_session_minutes_remaining > cutoff_minutes // Break of Structure (BoS) Detection and Trading Logic - Only first BoS per London session and outside cutoff period if show_bos and london_active and show_market_structure and not bos_detected and not trade_taken and allow_new_trades // Bullish BoS: Price closes below the most recent HL (after bullish breakout) - SELL SIGNAL if breakout_direction == "bullish" and not na(most_recent_hl) and not na(most_recent_hl_bar) // Check minimum distance requirement (at least 4 candles between BoS and HL) if close < most_recent_hl and (bar_index - most_recent_hl_bar) >= 4 // Draw dotted line from HL position to BoS point line.new(most_recent_hl_bar, most_recent_hl, bar_index, most_recent_hl, color=bos_color, width=2, style=line.style_dotted, extend=extend.none) // Calculate center position for BoS label center_bar = math.round((most_recent_hl_bar + bar_index) / 2) // Draw BoS label below the line for HL break label.new(center_bar, most_recent_hl - (most_recent_hl * 0.0005), "BoS", style=label.style_none, color=color.new(color.white, 100), textcolor=bos_color, size=size.normal) // SELL ENTRY if not na(london_session_high) and not na(asian_absolute_low) // Calculate stop loss based on settings stop_loss_level = use_atr_sl ? close + (atr * atr_multiplier) : london_session_high take_profit_level = asian_absolute_low entry_price = close // Calculate position size based on user settings position_size = calculate_position_size(entry_price, stop_loss_level) strategy.entry("SELL", strategy.short, qty=position_size, comment="BoS Sell") strategy.exit("SELL EXIT", "SELL", stop=stop_loss_level, limit=take_profit_level, comment="SL/TP") // Create trade visualization boxes (TradingView style) - minimum 8 bars width // Blue profit zone box (from entry to take profit) current_profit_box := box.new(left=bar_index, top=take_profit_level, right=bar_index + 8, bottom=entry_price, bgcolor=color.new(color.blue, 70), border_width=0) // Red stop loss zone box (from entry to stop loss) current_sl_box := box.new(left=bar_index, top=entry_price, right=bar_index + 8, bottom=stop_loss_level, bgcolor=color.new(color.red, 70), border_width=0) trade_taken := true bos_detected := true // Mark BoS as detected for this session // Bearish BoS: Price closes above the most recent LH (after bearish breakout) - BUY SIGNAL if breakout_direction == "bearish" and not na(most_recent_lh) and not na(most_recent_lh_bar) // Check minimum distance requirement (at least 4 candles between BoS and LH) if close > most_recent_lh and (bar_index - most_recent_lh_bar) >= 4 // Draw dotted line from LH position to BoS point line.new(most_recent_lh_bar, most_recent_lh, bar_index, most_recent_lh, color=bos_color, width=1, style=line.style_dotted, extend=extend.none) // Calculate center position for BoS label center_bar = math.round((most_recent_lh_bar + bar_index) / 2) // Draw BoS label above the line for LH break label.new(center_bar, most_recent_lh + (most_recent_lh * 0.0005), "BoS", style=label.style_none, color=color.new(color.white, 100), textcolor=bos_color, size=size.normal) // BUY ENTRY if not na(london_session_low) and not na(asian_absolute_high) // Calculate stop loss based on settings stop_loss_level = use_atr_sl ? close - (atr * atr_multiplier) : london_session_low take_profit_level = asian_absolute_high entry_price = close // Calculate position size based on user settings position_size = calculate_position_size(entry_price, stop_loss_level) strategy.entry("BUY", strategy.long, qty=position_size, comment="BoS Buy") strategy.exit("BUY EXIT", "BUY", stop=stop_loss_level, limit=take_profit_level, comment="SL/TP") // Create trade visualization boxes (TradingView style) - minimum 8 bars width // Blue profit zone box (from entry to take profit) current_profit_box := box.new(left=bar_index, top=entry_price, right=bar_index + 8, bottom=take_profit_level, bgcolor=color.new(color.blue, 70), border_width=0) // Red stop loss zone box (from entry to stop loss) current_sl_box := box.new(left=bar_index, top=stop_loss_level, right=bar_index + 8, bottom=entry_price, bgcolor=color.new(color.red, 70), border_width=0) trade_taken := true bos_detected := true // Mark BoS as detected for this session // Position close detection for extending boxes (based on Casper strategy) if barstate.isconfirmed and strategy.position_size == 0 and strategy.position_size != 0 // Extend trade visualization boxes to exact exit point when position closes if not na(current_profit_box) // Ensure minimum 8 bars width or extend to current bar, whichever is longer box_left = box.get_left(current_profit_box) min_right = box_left + 8 final_right = math.max(min_right, bar_index) box.set_right(current_profit_box, final_right) current_profit_box := na // Clear reference after extending if not na(current_sl_box) // Ensure minimum 8 bars width or extend to current bar, whichever is longer box_left = box.get_left(current_sl_box) min_right = box_left + 8 final_right = math.max(min_right, bar_index) box.set_right(current_sl_box, final_right) current_sl_box := na // Clear reference after extending // Backup safety check - extend boxes if position is closed but boxes still active if not na(current_profit_box) and strategy.position_size == 0 box_left = box.get_left(current_profit_box) min_right = box_left + 8 final_right = math.max(min_right, bar_index) box.set_right(current_profit_box, final_right) current_profit_box := na if not na(current_sl_box) and strategy.position_size == 0 box_left = box.get_left(current_sl_box) min_right = box_left + 8 final_right = math.max(min_right, bar_index) box.set_right(current_sl_box, final_right) current_sl_box := na // Reset everything when new Asian session starts if asian_start and show_swing_points asian_session_high := na asian_session_low := na asian_high_bar := na asian_low_bar := na // Reset absolute levels asian_absolute_high := na asian_absolute_low := na asian_high_line := na asian_low_line := na asian_high_label := na asian_low_label := na high_broken := false low_broken := false // Reset London session levels london_session_high := na london_session_low := na // Reset market structure tracking breakout_direction := na last_hh_level := na last_hl_level := na last_ll_level := na last_lh_level := na last_swing_high := na last_swing_low := na last_high_bar := na last_low_bar := na structure_count := 0 last_structure_type := na pending_high := na pending_low := na pending_high_bar := na pending_low_bar := na waiting_for_confirmation := false // Reset BoS tracking most_recent_hl := na most_recent_lh := na most_recent_hl_bar := na most_recent_lh_bar := na bos_detected := false // Reset trading trade_taken := false // Reset current trade boxes current_profit_box := na current_sl_box := na // Debug info (optional) show_debug = input.bool(false, "Show Debug Info") if show_debug var table debug_table = table.new(position.top_right, 2, 3, bgcolor=color.white, border_width=1) if barstate.islast table.cell(debug_table, 0, 0, "Current Hour:", text_color=color.black) table.cell(debug_table, 1, 0, str.tostring(current_hour), text_color=color.black) table.cell(debug_table, 0, 1, "Asian Active:", text_color=color.black) table.cell(debug_table, 1, 1, str.tostring((current_hour >= asian_start_hour) or (current_hour < asian_end_hour)), text_color=color.black) table.cell(debug_table, 0, 2, "London Active:", text_color=color.black) table.cell(debug_table, 1, 2, str.tostring((current_hour >= london_start_hour) and (current_hour < london_end_hour)), text_color=color.black)
Pine Script® stratejisi
Elliodoh tarafından
Williams Fractal MA Pullback Strategy (1.5 RR) - BY DANISHOverview This strategy is a price action and moving average-based scalping strategy designed for low timeframes (1m, 5m, 15m). It combines trend alignment with pullbacks to key moving averages and uses Williams Fractals as entry triggers. It aims to catch high-probability scalping trades in the direction of the prevailing trend while keeping strict risk management with a 1.5:1 risk-to-reward ratio. Indicators Used Three Simple Moving Averages (SMA): Fast SMA: 20 periods (Green) Medium SMA: 50 periods (Yellow) Slow SMA: 100 periods (Red) Williams Fractals (Period 2): Identifies short-term local highs (red) and lows (green) for potential reversal or continuation setups. Trend Rules Bullish Trend (Long Setup): Fast SMA (20) > Medium SMA (50) > Slow SMA (100) Moving averages must not be crossing Bearish Trend (Short Setup): Slow SMA (100) > Medium SMA (50) > Fast SMA (20) Moving averages must not be crossing This ensures trades are only taken in the direction of the prevailing trend. Entry Rules Long Entry (Buy): Price pulls back to either the 20 SMA (fast) or 50 SMA (medium) without closing below the 100 SMA (slow). A green Williams Fractal forms after the pullback. Confirm all trend alignment rules (20>50>100). Enter a long position at the close of the candle that confirms the fractal. Short Entry (Sell): Price pulls back to either the 20 SMA (fast) or 50 SMA (medium) without closing above the 100 SMA (slow). A red Williams Fractal forms after the pullback. Confirm all trend alignment rules (100>50>20). Enter a short position at the close of the candle that confirms the fractal. Risk Management & Stop Loss Long Trades: If price stayed above 50 SMA during pullback → SL is just below 50 SMA If price dipped below 50 SMA but stayed above 100 SMA → SL is just below 100 SMA Short Trades: If price stayed below 50 SMA during pullback → SL is just above 50 SMA If price rose above 50 SMA but stayed below 100 SMA → SL is just above 100 SMA Take Profit (TP) Fixed 1.5 Risk-to-Reward ratio TP = Risk × 1.5 This ensures each trade has a positive expectancy and follows consistent risk-reward management. Additional Rules Fractals Confirmation: The strategy waits for 2 bars to close before confirming the fractal signal to avoid repainting. No trades are taken if the price violates the 100-period SMA during the pullback. Designed for scalping on low timeframes: 1m, 5m, or 15m charts. Visuals on Chart SMA Lines: 20 SMA (Green) 50 SMA (Yellow) 100 SMA (Red) Fractal Arrows: Green fractal → potential long entry Red fractal → potential short entry Trade Highlights: Strategy plots entries and exit levels automatically with stop loss and take profit. How to Use Add the script to a 1m, 5m, or 15m chart. Enable the strategy tester to see backtesting results. Follow the trend alignment rules strictly for high-probability scalping trades. Optionally, combine with volume filters or market structure analysis for better performance. Benefits Trades only in aligned trend direction, avoiding counter-trend traps. Pullback + fractal logic provides high-probability entries. Risk-to-reward of 1.5:1 ensures good risk management. Avoids fractal repainting by waiting for candle close. Ideal Conditions Works best on volatile assets like crypto or forex pairs with clear trending moves. Best applied to liquid markets with tight spreads for scalping. ✅ Summary: Trend-aligned scalping strategy Pullback to MA + fractal confirmation Fixed 1.5 RR risk management Works on low timeframes (1m, 5m, 15m) Clean visual signals with SMMAs and fractals
Pine Script® stratejisi
Danish7421 tarafından
XAUUSD lucky trendThis version introduces a strict midline filter to keep signals trend-aligned without revealing any specific settings. Long signals are permitted only when price is clearly established on the bullish side of the midline for the entire candle, so brief dips through the line are ignored. Short signals are permitted only when price is clearly established on the bearish side of the midline for the entire candle, so brief spikes through the line are ignored. This helps avoid whipsaws around the midline and reduces counter-trend entries, especially during choppy transitions. All other components of the indicator remain unchanged: the original signal logic, quality filters, and frequency controls still determine when a setup is valid. The result is fewer but cleaner prompts that better reflect sustained directional bias rather than temporary noise around the midline.
Pine Script® göstergesi
xuziyu409 tarafından
23:00 London 15m -> Asia Close (No colors)//@version=5 indicator("23:00 London 15m -> Asia Close (No colors)", overlay=true, max_lines_count=50, max_labels_count=50) tz = "Europe/London" // set Asia close in London time asiaCloseHour = input.int(6, "Asia close hour (London)", minval=0, maxval=23) asiaCloseMin = input.int(0, "Asia close minute", minval=0, maxval=59) is15 = timeframe.period == "15" is2300 = hour(time, tz) == 23 and minute(time, tz) == 0 cond = is15 and is2300 var line hiLine = na var line loLine = na var label info = na f_asiaCloseTs(_t) => y = year(_t, tz) m = month(_t, tz) d = dayofmonth(_t, tz) closeToday = timestamp(tz, y, m, d, asiaCloseHour, asiaCloseMin) closeNext = timestamp(tz, y, m, d + 1, asiaCloseHour, asiaCloseMin) _t >= closeToday ? closeNext : closeToday if cond hi = high lo = low endTs = f_asiaCloseTs(time) if not na(hiLine) line.delete(hiLine) if not na(loLine) line.delete(loLine) if not na(info) label.delete(info) // High line hiLine := line.new(time, hi, endTs, hi, xloc=xloc.bar_time, extend=extend.none, width=2) // Low line loLine := line.new(time, lo, endTs, lo, xloc=xloc.bar_time, extend=extend.none, width=2) // Label with exact values info := label.new(endTs, hi, xloc=xloc.bar_time, text="23:00 London (15m) High: " + str.tostring(hi, format.mintick) + " Low: " + str.tostring(lo, format.mintick), style=label.style_label_left)
Pine Script® göstergesi
danevsb tarafından
Momentum Ghost MachineTrend Strength + Momentum Ghost Machine: The Complete Velocity System Two powerful engines, one chart. This indicator fuses a robust Trend Strength Oscillator with the modern, noise-canceling "Momentum Ghost Machine" to give you a complete picture of market direction and hidden velocity in a single pane. Stop guessing if the move is real. See the Trend (Background) and feel the Speed (Ghost Line) simultaneously. 🔥 CORE FEATURES 1. The Trend Strength Oscillator (Background Engine) The background histogram is a dedicated engine that measures the pure strength and direction of the current trend. Green Zones (Above 0): Indicate Bulls are in control and the trend is rising. Red Zones (Below 0): Indicate Bears are in control and the trend is falling. Smart Smoothing: Includes a built-in JMA (Jurik Moving Average) smoother to filter out market noise and prevent false signals during choppy conditions. 2. Momentum Ghost Machine (The Velocity Engine) A highly responsive momentum oscillator designed to detect shifts in market speed before price turns. 4-State Color System: Dark Green: Strong Upside Acceleration (The "Go" Signal). Light Green: Upside Deceleration (Momentum fading, prepare for a pause). Dark Red: Strong Downside Acceleration (The "Drop" Signal). Light Red: Downside Deceleration (Selling pressure fading, prepare for a bounce). 3. Signal Line Crossovers The Ghost Machine includes a fast-reacting Signal Line (Orange). Cross Above: Bullish momentum injection. Cross Below: Bearish momentum injection. 🚀 HOW TO USE For Trend Trading: Wait for the Trend Background to turn Green. Confirm entry when the Ghost Machine Line crosses above its orange signal line and turns Dark Green. For Reversals: Look for Divergence: If price makes a higher high but the Ghost Machine makes a lower high (Light Green), momentum is exhausted. Wait for the Ghost Machine to turn Red and cross below the signal line for a high-probability short. For Exits: If you are Long (Dark Green) and the bar turns Light Green, momentum is slowing. This is your warning to tighten stops or take profit. ⚙️ SETTINGS & CUSTOMIZATION Trend Settings: Adjust length and smoothing type (JMA, EMA, SMA, etc.) to match your trading style. Ghost Machine: Fine-tune momentum sensitivity and post-smoothing to fit your specific asset (Crypto, Forex, or Indices). Visuals: Fully customizable colors for every state of the trend and momentum. "Trend is direction. Momentum is fuel. This tool tracks both."
Pine Script® göstergesi
DarwinIsidro tarafından
mua HARSI RSI Shadow Strategy M1 (Fixed)HARSI – Heikin Ashi RSI Shadow Indicator HARSI (Heikin Ashi RSI Shadow) is a momentum-based oscillator that combines the concept of Heikin Ashi smoothing with the Relative Strength Index (RSI) to reduce market noise and highlight short-term trend strength. Instead of plotting traditional price candles, HARSI transforms RSI values into a zero-centered oscillator (RSI − 50), allowing traders to clearly identify bullish and bearish momentum around the median line. The smoothing mechanism inspired by Heikin Ashi candles helps filter out false signals, making the indicator especially effective on lower timeframes such as M1. The RSI Shadow reacts quickly to momentum shifts while maintaining smooth transitions, which makes it suitable for scalping and intraday trading. Key threshold levels (such as ±20 and ±30) can be used to detect momentum expansion, exhaustion, and potential continuation setups. HARSI works best in liquid markets and can be used as a standalone momentum indicator or combined with trend filters such as moving averages or VWAP for higher-probability trades. Key Features: Zero-centered RSI oscillator (RSI − 50) Heikin Ashi–style smoothing to reduce noise Clear momentum-based entry signals Optimized for lower timeframes (M1 scalping) Suitable for both Spot and Futures trading
Pine Script® stratejisi
RumeryWise0288 tarafından
TWR of Bill WilliamsThis indicator was taken from the book “Trading Chaos Pt 1” by Bill Williams. TWR contains 3 Moving Averages Ripple - MA with 5 bars length Wave - MA with 13 bars length Tide - MA with 34 bars length According to Bill Williams, you should take only a long position if the Ripple(5 bars length) is higher than Wave(13) and Tide(34). Also, you should take only a short position, if the Ripple (the fastest MA) is lower than Wave MA and Tide MA(slowest MA). This indicator is also used if you want to fill in the Profitunity Trading Partner table.
Pine Script® göstergesi
vildstein tarafından