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インジケーターとストラテジー

RSI: Sessions + Days + Limit Orders upThis is a disciplined RSI mean-reversion strategy designed for traders who prioritize risk management and session confluence. Instead of trading 24/7, this strategy focuses on high-liquidity market sessions (London, New York, etc.) and uses dynamic position sizing to ensure a consistent dollar-amount risk per trade. How it Works: Entry Logic: The strategy triggers a Long when the RSI crosses above the Oversold level (30) and a Short when it crosses below the Overbought level (70). Session Filtering: Built-in filters allow you to restrict trading to specific days of the week and specific market hours (NY, London, Tokyo, or Sydney sessions). Force Close: An optional feature to automatically close open positions at the end of a trading session to avoid overnight gap risk. Pro-Level Risk Management: Dynamic Sizing: The script automatically calculates your position size based on a fixed dollar risk (e.g., $5 per trade). Technical Stops: Stop losses are automatically placed at the high (for shorts) or low (for longs) of the entry candle. Fixed Reward-to-Risk: Trades are executed with a customizable R:R ratio (default 2.0), ensuring your winners are twice the size of your losses. Visual Features: Real-time TP/SL lines while a trade is active. Post-trade labels indicating "Win" or "Loss" markers. Clean, organized input menu for easy optimization. Best Used On: Timeframes: 5m, 15m, or 1h. Assets: Forex pairs, Indices (US30, NAS100), and liquid Crypto pairs.
Pine Script® ストラテジー
purplebeltの投稿
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® ストラテジー
Elliodohの投稿
Tactical DeviationTACTICAL DEVIATION - Multi-Timeframe VWAP Deviation Tool Overview Tactical Deviation shows daily/weekly/monthly VWAP lines with optional standard deviation bands and signal markers when price reaches configured deviation levels and optional filters are met. It is intended to provide statistical context around price distance from VWAP and highlight areas to review. What It Plots - Daily/weekly/monthly VWAP lines (independent toggles) - ±1σ/±2σ/±3σ deviation bands - Optional fill between ±2σ bands - Long/short signal markers based on deviation + filters - Info table with current deviation levels by timeframe How It Works 1) VWAP is computed per timeframe using volume-weighted price. 2) Standard deviation is calculated from the same volume-weighted data. 3) Deviation levels are defined by how far price is from VWAP in σ units. 4) Signals can require any combination of: - Minimum deviation level (1σ/2σ/3σ) - Volume confirmation (spike or momentum) - Pivot reversal alignment - RSI overbought/oversold filter - Multi-timeframe VWAP confluence 5) Optional dynamic multipliers scale bands using ATR% to adapt to volatility. How To Use - Use deviation bands to see when price is near VWAP (inside ±1σ) or statistically stretched (outside ±2σ/±3σ). - Treat signal markers as alerts to review price behavior at extremes, not as guarantees. - Start with Daily VWAP + ±2σ bands and volume confirmation, then add Weekly/Monthly VWAP for broader context. Inputs Summary - VWAP Settings: show daily/weekly/monthly VWAPs - Deviation Bands: toggle bands and adjust multipliers - Dynamic Multipliers: scale bands based on ATR% - Signals: minimum deviation level, volume confirmation, pivot reversal, RSI filter - Confluence: require agreement from multiple VWAPs - Visual: line widths, fill opacity, info table Originality and Combination Rationale This script combines multi-timeframe VWAP deviation with optional volatility scaling and confirmation filters (volume, pivots, RSI) so that users can evaluate deviations and confirmations within a single, consistent framework rather than multiple separate indicators. Notes - Publish and evaluate on standard candles (not Heikin Ashi, Renko, Kagi, Point & Figure, or Range). - Keep the chart clean with only this script unless additional tools are required and explained. - No performance claims are made; results depend on market conditions and settings.
Pine Script® インジケーター
RickyTSpanishの投稿
Big Trend Catcher: Dual-Gate EMA & ATR Trailing Swing TraderThe Big Trend Catcher: Long-Only Progressive Swing System OVERVIEW The Big Trend Catcher is a high-conviction, long-only swing trading strategy designed to identify and ride sustained market moves. Unlike traditional trend-following systems that often get "chopped out" during sideways consolidation, this strategy utilizes a Dual-Gate Filter to ensure you only enter when short-term momentum and the long-term trend are in total alignment. It is specifically tuned for high-growth stocks and ETFs where capturing the lion’s share of a multi-week or multi-month move is the primary objective. CORE LOGIC: THE DUAL-GATE SYSTEM To maintain a high quality of entries, the strategy requires a "confirmed launch" through two distinct filters: The Momentum Gate (20 EMA): Identifies immediate price acceleration and volume-backed impulse. The Long-Term Gate (100 EMA): Acts as the ultimate trend filter. The script utilizes a "Signal Memory" logic—if an impulse happens while price is still below the 100 EMA, the trade is held in a "Pending" state. The entry only triggers once the price closes firmly above the 100 EMA. Goal: This prevents "bottom fishing" in established downtrends and keeps you in cash during sideways "death loops" when the long-term direction is unclear. KEY FEATURES 1. Progressive Pyramiding (Scale-In) The biggest profits in swing trading are often made by adding to winners. This system features two automated scale-in triggers: Velocity Adds (VOLC): Adds to the position if the stock is up >10% and moving with rising momentum, allowing you to build a larger position as the trend proves its strength. Pullback Adds: Adds to the position when the price tests the 20 EMA and holds, allowing you to buy the "dip" within a healthy uptrend. 2. The Phoenix Re-Entry This logic is designed to catch "V-shaped" recoveries. If the strategy exits on a trend break but the price aggressively reclaims the 20 EMA on massive volume shortly after, it re-enters the trade. This ensures you aren't left behind during the second leg of a major run after a temporary shakeout. 3. Iron-Floor ATR Exit We use a 3.5x ATR Trailing Stop combined with the 100 EMA. This wider-than-average "breathing room" is designed to keep you in for significant gains while ignoring the minor daily volatility that often shakes out traders with tighter stops. HOW TO USE Best Timeframes: Daily (D) is recommended for identifying major cycles, but it can be applied to the 4-Hour (4H) for more active swing trading. Settings: * 20 EMA: Your short-term momentum guide. * 100 EMA: Your long-term trend guide. * ATR Multiplier: Set to 3.5 for maximum "trend hugging." SUMMARY OF VISUALS Blue Line (100 EMA): The Long-Term Trend. Yellow Line (20 EMA): The Short-Term Momentum. Red Stepped Line: Your ATR Trailing Floor (The "Iron Floor"). Lime Triangle: Initial Trade Entry. Blue/Orange Shapes: Progressive Scale-in points.
Pine Script® ストラテジー
LegalxSeagullの投稿
LEVENT: Lifetime Estimation via Efficiency-Regime EventLEVENT — Lifetime Estimation via Efficiency-Regime Event Transitions LEVENT is a research-grade indicator that estimates the remaining structural lifetime of the current market regime. Unlike trend, volatility, or momentum tools, LEVENT does not measure price movement — it measures how long the current market structure is likely to survive before breaking. This script implements the LEVENT model published on Zenodo (Bülent Duman, 2026) and is built on top of the open-source DERYA (Dynamic Efficiency Regime Yield Analyzer) microstructural efficiency framework. What LEVENT measures LEVENT outputs a single continuous variable L that represents the remaining survival capacity of the active efficiency regime. High L → the current regime has strong structural endurance Falling L → the regime is consuming its capacity L → 0 → regime exhaustion and elevated probability of transition This makes LEVENT a forward-looking structural time variable, not a price indicator. What is inside this script This implementation contains the following components: 1. DERYA (open-source microstructure efficiency) DERYA is computed from OHLC data as: Net close-to-close movement divided by total intrabar range It is smoothed with an EMA and normalized over a rolling window to produce a bounded efficiency state (0–100). This is an open-source indicator and is explicitly credited in the LEVENT paper. 2. Transition Strength (S) S measures how unstable the regime is by combining: the slope of DERYA the acceleration of DERYA This is not RSI, MACD, or ATR — it is a state-transition intensity metric. 3. Regime Engine Markets are classified into four structural regimes: Expansion Exhaustion Collapse Base / Recovery A debounce + persistence filter is used to avoid noise-based flickering. 4. Structural Lifetime (LEVENT L) Each regime is assigned a capacity (Λ) and a fragility (α). LEVENT then evolves as a jump-and-countdown survival process: On regime change → L resets to full capacity Inside a regime → L decays deterministically High instability → faster decay This is not a moving average, oscillator, or probability estimate — it is a structural survival clock. How to use LEVENT LEVENT is designed to be used as a regime-health overlay, not a buy/sell trigger. Typical uses: Detect late-stage trends when L is low Avoid initiating positions when the regime is near collapse Compare structural stability across assets Combine with price, trend, or volume systems Do not use LEVENT alone as a trading signal. LEVENT tells you “how long the structure may last”, not “where price will go.” Visuals Background colors show the current regime The LEVENT line shows remaining structural lifetime A table displays the active regime and current L value Important notes LEVENT is not RSI, MACD, ATR, or trend LEVENT does not predict price direction LEVENT does not issue entry/exit signals LEVENT is a research-grade structural model The DERYA component used here is an open-source microstructural efficiency estimator and is credited accordingly. Risk and disclaimer This script is provided for research and analytical purposes only. It is not financial advice and must not be used as a standalone trading system. Markets are uncertain. All trading decisions and risks remain entirely the responsibility of the user. LEVENT: Lifetime Estimation via Efficiency-regime Event Transitions Introducing a Regime-Dependent Structural Lifetime Estimator for Financial Markets Using OHLC Data Author: DUMAN,Bülent Affiliation: Independent Researcher zenodo.org
Pine Script® インジケーター
blntdumanの投稿
Multi TF Volume ATRThis indicator measures volatility using ATR applied to volume across multiple timeframes. It helps identify when real momentum enters the market by showing volume spikes on 1h, 4h, 12h, and Daily charts. When several timeframes spike at the same time, it often signals strong moves, breakouts, or major shifts in volatility. The script calculates Volume ATR for 1h, 4h, 12h, and 1D. Each timeframe generates its own spike condition. The indicator then checks for alignment between timeframes. The 1h histogram changes color based on the strength of the signal. Red means multi timeframe alignment. This is the strongest signal and shows that several timeframes are spiking together. Yellow means a 1h spike only. This is an early warning of local volatility. Blue means no spike. The indicator also plots higher timeframe ATR lines for context. These include 4h ATR, 12h ATR, and 1D ATR. When these lines rise together, volatility is building. Spike markers appear at the top of the pane when higher timeframes trigger. You can choose how strict the alignment should be. Options include all three timeframes (1h, 4h, 12h), at least two timeframes, or including the daily timeframe for even stronger confirmation. The script includes alert conditions for 1h spikes, multi timeframe alignment spikes, and daily spikes. These alerts help you stay ahead of volatility without watching charts constantly. This indicator is useful for many trading styles. Breakout traders use red bars to confirm momentum. Mean reversion traders use daily spikes to confirm volatility conditions. Trend traders watch rising 4h and 12h ATR lines. Scalpers use yellow bars as early warnings. Volume ATR shows how quickly volume is expanding. When several timeframes spike together, it often signals institutional activity, liquidity events, volatility shifts, breakouts, or reversals. This provides information that price alone cannot show.
Pine Script® インジケーター
Blaiiseの投稿
BB Scoreboard MTF1. The Concept: Harmony Across TimeframesThe Musical Score Visual: This indicator transforms absolute price into a relative "score" based on standard deviations ($\sigma$). It displays the positions of Short-Term (15m), Mid-Term (1H), and Long-Term (4H) prices on a single grid, similar to a musical staff.Syncing the "Breath" of the Market: By aligning three different timeframes, you can instantly see if the entire market is "breathing" in the same direction. 2. Trading Logic: The Power of ConvergencePerfect Order (Bullish): When the Short, Mid, and Long-term lines are all above the Middle (0) line, it indicates a strong, synchronized uptrend. This is the highest probability zone for "Buy on Dip" strategies.Perfect Order (Bearish): Conversely, when all lines are below the Middle line, the market is in a synchronized downtrend, making "Sell on Rally" the dominant strategy.Overextension (The Limits): When all three lines hit the $+3\sigma$ or $-3\sigma$ levels simultaneously, the market is extremely overextended, signaling an imminent correction or exhaustion. 3. Synergizing with "Volume-Wall" (FVG)To achieve the Ultimate Scalping Setup:Alignment: Wait for all three lines on the "Scoreboard" to point in the same direction (e.g., all above 0).The Anchor: Price returns to a Strong FVG (Volume-Wall).The Trigger: Enter the trade when the Short-term line bounces off a lower $\sigma$ level and heads back toward the $+1\sigma$ or $+2\sigma$ area.
Pine Script® インジケーター
ogataogaの投稿