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Indicadores y estrategias

USDT + USDC DominanceUSDT + USDC Dominance USDT/USDC Dominance Indicator This indicator measures the relative dominance of USDT and USDC on the market. It calculates the share of each stablecoin compared to the total of the two, and displays it as a percentage. USDT Dominance (%) = (USDT value / (USDT value + USDC value)) × 100 USDC Dominance (%) = 100 − USDT Dominance The indicator plots both dominance values on the chart, allowing you to see which stablecoin has a higher share at any given time. It can help identify shifts in market preference between USDT and USDC. Optional features: Horizontal 50% line for reference. Highlight when USDT or USDC exceeds 50% dominance. Works with price or market capitalization data depending on available data sources.
Indicador Pine Script®
por axisbhp
Simple Trend + Signal (No Bug)//@version=5indicator("Simple Trend + Signal (No Bug)", overlay=true) // === INPUTS ===fastEMA = input.int(20, "Fast EMA")slowEMA = input.int(50, "Slow EMA")lookback = input.int(20, "Zone Lookback") // === TREND ===emaFast = ta.ema(close, fastEMA)emaSlow = ta.ema(close, slowEMA) trendUp = emaFast > emaSlowtrendDown = emaFast < emaSlow // === ZONES ===highestHigh = ta.highest(high, lookback)lowestLow = ta.lowest(low, lookback) // === SIGNALS ===buySignal = trendUp and close <= emaFastsellSignal = trendDown and close >= emaFast // === PLOTS ===plot(emaFast, color=color.green, linewidth=2)plot(emaSlow, color=color.red, linewidth=2) plot(highestHigh, color=color.new(color.blue, 70))plot(lowestLow, color=color.new(color.orange, 70)) plotshape(buySignal, title="BUY", location=location.belowbar, color=color.green, style=shape.labelup, text="BUY")plotshape(sellSignal, title="SELL", location=location.abovebar, color=color.red, style=shape.labeldown, text="SELL")
Indicador Pine Script®
por blissfulAccoun8911
Simple Trend + Signal (No Bug)//@version=5 indicator("Simple Trend + Signal (No Bug)", overlay=true) // === INPUTS === fastEMA = input.int(20, "Fast EMA") slowEMA = input.int(50, "Slow EMA") lookback = input.int(20, "Zone Lookback") // === TREND === emaFast = ta.ema(close, fastEMA) emaSlow = ta.ema(close, slowEMA) trendUp = emaFast > emaSlow trendDown = emaFast < emaSlow // === ZONES === highestHigh = ta.highest(high, lookback) lowestLow = ta.lowest(low, lookback) // === SIGNALS === buySignal = trendUp and close <= emaFast sellSignal = trendDown and close >= emaFast // === PLOTS === plot(emaFast, color=color.green, linewidth=2) plot(emaSlow, color=color.red, linewidth=2) plot(highestHigh, color=color.new(color.blue, 70)) plot(lowestLow, color=color.new(color.orange, 70)) plotshape(buySignal, title="BUY", location=location.belowbar, color=color.green, style=shape.labelup, text="BUY") plotshape(sellSignal, title="SELL", location=location.abovebar, color=color.red, style=shape.labeldown, text="SELL")
Indicador Pine Script®
por blissfulAccoun8911
Volatility Expansion Indicator - D_QuantVolatility Expansion Indicator - D_Quant |V|C|E| 1. Concept & Overview The Volatility Expansion Indicator (VCE) is a composite quantitative tool designed to identify robust trend states by aggregating signals from three distinct market dimensions: Relative Position (Volatility), Cyclical Momentum, and Price Velocity. Unlike single-source indicators which often generate false positives during choppy markets, the VCE utilizes a "Consensus Engine." It normalizes signals from Bollinger %B, CCI, and ROC into a unified trend score (-1 to +1). This score drives the visual coloring of the price action and background, allowing traders to instantly gauge whether the market is in a state of volatility expansion (trending) or contraction (ranging). 2. Methodology & Calculation The core logic relies on a weighted aggregation of three technical components. Users can toggle these components on or off in the settings to isolate specific market mechanics. A. Component 1: Bollinger %B (Relative Positioning) Logic: Measures where the price is located relative to the Bollinger Bands. Bullish Condition: If %B > 0.5 (Price is operating in the upper hemisphere of the bands). Bearish Condition: If %B < 0.0 (Price has broken below the lower band). Purpose: Filters out weak trends by ensuring price is statistically significant relative to its recent volatility. B. Component 2: CCI (Commodity Channel Index) Logic: Measures current price levels relative to an average price level over a specific period. Thresholds: A standard +100 / -100 threshold is used. Values above 100 add to the bullish score; values below -100 add to the bearish score. Purpose: Identifies cyclical momentum extremes. f_cci(_len) => cci_val = ta.cci(close, _len) val = 0 if cci_val > 100 val := 1 if cci_val < -100 val := -1 val C. Component 3: ROC (Rate of Change) Logic: Calculates the percentage change between the current price and the price n periods ago. Thresholds: Simple zero-line crossover. Positive ROC implies bullish velocity; negative implies bearish. Purpose: Provides a raw directional bias based on pure price speed. D. The Aggregation Engine: The script sums the active signals and divides by the number of active components. Bullish Trend: Composite Score > 0 (Visualized as Deep Navy). Bearish/Neutral: Composite Score ≤ 0 (Visualized as White). E. Multi-Timeframe (MTF) Capability: The indicator includes a request.security module. This allows you to calculate the consensus trend on a higher timeframe (e.g., Daily) while viewing price action on a lower timeframe (e.g., 15-minute), ensuring you are trading in alignment with the macro trend. // NEW: Timeframe Selection tf_input = input.timeframe("", "VCE Timeframe", group=grp_sets, tooltip="Empty = Current Chart. Set to 'D' for fixed Daily trend.") = request.security(syminfo.tickerid, tf_input, , lookahead=barmerge.lookahead_on) 3. Visualizations The indicator overlays the following elements on the chart: Trend SMMA: A central Smoothed Moving Average (SMMA 20) representing the mean. Volatility Bands: Upper and Lower bands calculated at 2 Standard Deviations from the SMMA. Bar Coloring: Navy Blue: Indicates a confirmed Volatility Expansion (Bullish Confluence). White: Indicates Neutrality, Retracement, or Bearish conditions. Dynamic Fills: The space between the bands fills with color to highlight the strength of the current regime. 4. How to Use Trend Following: Look for the bar color to switch to Navy. This indicates that momentum, volatility, and velocity have aligned bullishly. This is often an entry trigger for long positions. Exits: When the bars switch from Navy back to White/Gray, the volatility expansion has ceased or momentum is diverging. This serves as a warning to tighten stops or take profits. MTF Filter: Set the "VCE Timeframe" input to "D" (Daily). Trade on the H1 chart. Only take long positions when the Daily VCE paints the background/bands in the Bullish color. 5. Settings Bollinger %B: Adjust Length and Multiplier (Default: 20, 2.0). CCI: Adjust Length (Default: 23). ROC: Adjust Length (Default: 50). Signal Components: Toggle specific logic blocks on/off to customize the sensitivity of the composite score. VCE Timeframe: Select the resolution for the calculation (Leave empty for current chart). Disclaimer: This tool is for informational purposes only. Past performance of volatility expansion does not guarantee future results. Always manage risk appropriately.
Indicador Pine Script®
por D_QUANT
Weekly Tightness Near EMA//@version=6 indicator("Weekly Tightness Near EMA", overlay=true) // =========================== // INPUT PARAMETERS // =========================== tightness_pct = input.float(3.0, "Tightness % Range", minval=0.1, maxval=10.0) ema_proximity_pct = input.float(5.0, "EMA Proximity %", minval=0.5, maxval=15.0) small_candle_pct = input.float(5.0, "Small Candle % (body)", minval=0.5, maxval=10.0) show_ema10 = input.bool(true, "Show 10 Week EMA") show_ema20 = input.bool(true, "Show 20 Week EMA") show_signals = input.bool(true, "Show Tightness Signals") // =========================== // GET WEEKLY DATA // =========================== weekly_close = request.security(syminfo.tickerid, "W", close, barmerge.gaps_off, barmerge.lookahead_off) weekly_open = request.security(syminfo.tickerid, "W", open, barmerge.gaps_off, barmerge.lookahead_off) weekly_high = request.security(syminfo.tickerid, "W", high, barmerge.gaps_off, barmerge.lookahead_off) weekly_low = request.security(syminfo.tickerid, "W", low, barmerge.gaps_off, barmerge.lookahead_off) weekly_close_1 = request.security(syminfo.tickerid, "W", close , barmerge.gaps_off, barmerge.lookahead_off) weekly_open_1 = request.security(syminfo.tickerid, "W", open , barmerge.gaps_off, barmerge.lookahead_off) weekly_high_1 = request.security(syminfo.tickerid, "W", high , barmerge.gaps_off, barmerge.lookahead_off) weekly_low_1 = request.security(syminfo.tickerid, "W", low , barmerge.gaps_off, barmerge.lookahead_off) weekly_close_2 = request.security(syminfo.tickerid, "W", close , barmerge.gaps_off, barmerge.lookahead_off) weekly_open_2 = request.security(syminfo.tickerid, "W", open , barmerge.gaps_off, barmerge.lookahead_off) weekly_high_2 = request.security(syminfo.tickerid, "W", high , barmerge.gaps_off, barmerge.lookahead_off) weekly_low_2 = request.security(syminfo.tickerid, "W", low , barmerge.gaps_off, barmerge.lookahead_off) // Weekly EMAs weekly_ema10 = request.security(syminfo.tickerid, "W", ta.ema(close, 10), barmerge.gaps_off, barmerge.lookahead_off) weekly_ema20 = request.security(syminfo.tickerid, "W", ta.ema(close, 20), barmerge.gaps_off, barmerge.lookahead_off) // =========================== // CALCULATE CANDLE SIZE // =========================== // Calculate body size (close - open) as percentage of price candle_body_0 = math.abs(weekly_close - weekly_open) candle_body_1 = math.abs(weekly_close_1 - weekly_open_1) candle_body_2 = math.abs(weekly_close_2 - weekly_open_2) candle_body_pct_0 = (candle_body_0 / weekly_close) * 100 candle_body_pct_1 = (candle_body_1 / weekly_close_1) * 100 candle_body_pct_2 = (candle_body_2 / weekly_close_2) * 100 // Calculate full range (high - low) as percentage candle_range_0 = weekly_high - weekly_low candle_range_1 = weekly_high_1 - weekly_low_1 candle_range_2 = weekly_high_2 - weekly_low_2 candle_range_pct_0 = (candle_range_0 / weekly_close) * 100 candle_range_pct_1 = (candle_range_1 / weekly_close_1) * 100 candle_range_pct_2 = (candle_range_2 / weekly_close_2) * 100 // Check if all 3 candles are small small_candle_0 = candle_body_pct_0 <= small_candle_pct small_candle_1 = candle_body_pct_1 <= small_candle_pct small_candle_2 = candle_body_pct_2 <= small_candle_pct all_candles_small = small_candle_0 and small_candle_1 and small_candle_2 // Average candle body size avg_candle_body = (candle_body_pct_0 + candle_body_pct_1 + candle_body_pct_2) / 3 avg_candle_range = (candle_range_pct_0 + candle_range_pct_1 + candle_range_pct_2) / 3 // =========================== // CALCULATE TIGHTNESS // =========================== // Find highest and lowest of last 3 weekly closes highest_close = math.max(weekly_close, weekly_close_1, weekly_close_2) lowest_close = math.min(weekly_close, weekly_close_1, weekly_close_2) // Calculate range percentage close_range_pct = ((highest_close - lowest_close) / lowest_close) * 100 // Check if within tightness range is_tight = close_range_pct <= tightness_pct // =========================== // CHECK PROXIMITY TO EMAs // =========================== // Distance from EMAs dist_from_ema10_pct = math.abs((weekly_close - weekly_ema10) / weekly_ema10) * 100 dist_from_ema20_pct = math.abs((weekly_close - weekly_ema20) / weekly_ema20) * 100 // Near EMA conditions near_ema10 = dist_from_ema10_pct <= ema_proximity_pct near_ema20 = dist_from_ema20_pct <= ema_proximity_pct near_any_ema = near_ema10 or near_ema20 // =========================== // COMBINED SIGNAL (with small candles filter) // =========================== tightness_signal = is_tight and near_any_ema and all_candles_small // =========================== // PLOT EMAs // =========================== plot(show_ema10 ? weekly_ema10 : na, "10 Week EMA", color=color.new(color.blue, 0), linewidth=2) plot(show_ema20 ? weekly_ema20 : na, "20 Week EMA", color=color.new(color.orange, 0), linewidth=2) // =========================== // PLOT SIGNALS // =========================== // Background color when tight and near EMA bgcolor(show_signals and tightness_signal ? color.new(color.green, 90) : na, title="Tightness Signal") // Plot signal markers plotshape(show_signals and tightness_signal and not tightness_signal , title="Tightness Start", location=location.belowbar, color=color.new(color.green, 0), style=shape.triangleup, size=size.small, text="TIGHT") // =========================== // DISPLAY TABLE // =========================== var table info_table = table.new(position.top_right, 2, 9, border_width=1, border_color=color.gray, frame_width=1, frame_color=color.gray) if barstate.islast // Header table.cell(info_table, 0, 0, "Weekly Analysis", bgcolor=color.new(color.gray, 70), text_color=color.white, text_size=size.normal) table.cell(info_table, 1, 0, "Status", bgcolor=color.new(color.gray, 70), text_color=color.white, text_size=size.normal) // Average candle body size candle_color = all_candles_small ? color.new(color.green, 85) : color.new(color.red, 85) table.cell(info_table, 0, 1, "Avg Candle Body", bgcolor=candle_color, text_color=color.white, text_halign=text.align_left) table.cell(info_table, 1, 1, str.tostring(avg_candle_body, "#.##") + "%", bgcolor=candle_color, text_color=color.white) // Small candle threshold table.cell(info_table, 0, 2, "Small Candle <", bgcolor=color.new(color.gray, 90), text_color=color.white, text_halign=text.align_left) table.cell(info_table, 1, 2, str.tostring(small_candle_pct, "#.#") + "%", bgcolor=color.new(color.gray, 90), text_color=color.white) // 3 Week Close Tightness tight_color = is_tight ? color.new(color.green, 85) : color.new(color.red, 85) table.cell(info_table, 0, 3, "3W Close Range", bgcolor=tight_color, text_color=color.white, text_halign=text.align_left) table.cell(info_table, 1, 3, str.tostring(close_range_pct, "#.##") + "%", bgcolor=tight_color, text_color=color.white) // Tightness threshold table.cell(info_table, 0, 4, "Threshold", bgcolor=color.new(color.gray, 90), text_color=color.white, text_halign=text.align_left) table.cell(info_table, 1, 4, "<" + str.tostring(tightness_pct, "#.#") + "%", bgcolor=color.new(color.gray, 90), text_color=color.white) // Distance from 10W EMA ema10_color = near_ema10 ? color.new(color.blue, 85) : color.new(color.gray, 85) table.cell(info_table, 0, 5, "From 10W EMA", bgcolor=ema10_color, text_color=color.white, text_halign=text.align_left) table.cell(info_table, 1, 5, str.tostring(dist_from_ema10_pct, "#.##") + "%", bgcolor=ema10_color, text_color=color.white) // Distance from 20W EMA ema20_color = near_ema20 ? color.new(color.orange, 85) : color.new(color.gray, 85) table.cell(info_table, 0, 6, "From 20W EMA", bgcolor=ema20_color, text_color=color.white, text_halign=text.align_left) table.cell(info_table, 1, 6, str.tostring(dist_from_ema20_pct, "#.##") + "%", bgcolor=ema20_color, text_color=color.white) // Near EMA status near_ema_color = near_any_ema ? color.new(color.green, 85) : color.new(color.red, 85) near_ema_text = near_any_ema ? "✓ NEAR" : "✗ Far" table.cell(info_table, 0, 7, "Near EMA", bgcolor=near_ema_color, text_color=color.white, text_halign=text.align_left) table.cell(info_table, 1, 7, near_ema_text, bgcolor=near_ema_color, text_color=color.white) // Combined signal signal_color = tightness_signal ? color.new(color.lime, 70) : color.new(color.gray, 85) signal_text = tightness_signal ? "🎯 SETUP!" : "No Setup" table.cell(info_table, 0, 8, "SIGNAL", bgcolor=signal_color, text_color=color.white, text_halign=text.align_left, text_size=size.large) table.cell(info_table, 1, 8, signal_text, bgcolor=signal_color, text_color=color.white, text_size=size.large) // =========================== // ALERTS // =========================== alertcondition(tightness_signal and not tightness_signal , title="Tightness Setup Alert", message="Weekly setup detected: Small candles, tight closes, near EMA!")
Indicador Pine Script®
por harishjagtap
Chart Info & Candle CountdownThis indicator displays essential chart information directly on the chart: Displays the current date Displays the current symbol Displays the current timeframe with a countdown to candle close The candle close countdown is visually highlighted to improve time awareness: from 2 minutes before candle close on minute timeframes from 15 minutes before candle close on higher timeframes This indicator is designed for informational purposes only and does not generate trading signals.
Indicador Pine Script®
por ducal92
Dual Range Volume Profile█ OVERVIEW “Dual Range Volume Profile” is a volume analysis indicator that displays two independent volume profiles simultaneously: - Main Profile – a profile built from the entire visible chart range - Pivot Profile – a profile calculated from the most recent significant pivot (swing high / swing low) This allows the trader to see at the same time: - where the market accumulated volume in the broader structural context, - and where price equilibrium is forming within the current move. The indicator draws a volume-by-price histogram, POC, Value Area (VA), and an information table with key levels. It combines macro and micro context in one tool. █ CONCEPTS Volume Profile shows at which price levels the highest trading activity occurred — in other words, where the market actually built positions. Main Profile This profile is calculated from the entire visible chart range. It provides a broad context: - historical market balance - areas of position building - levels that often act as price magnets It represents the structural balance of the market. Pivot Profile This profile begins at the most recent confirmed pivot (swing high / swing low). It shows the volume distribution inside the current impulse and helps evaluate: - where new positions are being built - whether the move is supported by volume - where a new balance is forming It represents the context of the current move. POC – Point of Control The price level with the highest volume. It often acts as: - the center of balance - a price magnet - a reaction level during retests Value Area (VA) The price range where a defined percentage of total volume occurred. VA represents the area of balance between buyers and sellers. █ FEATURES - Two volume profiles working simultaneously (global + pivot-based) - Separate POC for each profile - Value Area displayed as a box and VA High / VA Low lines - Configurable VA percentage - Automatic pivot detection with “Last PH/PL” label - Volume gradient from low to high - Full visual customization and an info table with levels █ HOW TO USE The Main Profile helps determine where price stands relative to the broader market balance — whether it trades above, inside, or below value. The Pivot Profile shows how volume is distributed within the current move and whether the impulse is truly supported by market activity. Retests of the pivot POC often behave as local support or resistance. █ APPLICATIONS In practice, the indicator is best used for working with price reaction zones and evaluating move quality. POC and Value Area boundaries often behave like dynamic support and resistance because they represent price levels where the market spent the most activity and participation. After a strong impulse, price frequently returns to the pivot POC or VA boundaries, where the market decides between continuation or a return to balance. Value Area can also serve a different role — as a compression zone before a move. When price consolidates inside VA for an extended period, the market is in balance. A breakout beyond VA signals a shift from balance to imbalance (volatility expansion). If the breakout is followed by a retest of the VA boundary from the outside, accompanied by increased volume, this often creates an opportunity to enter in the breakout direction. Particularly strong zones appear when multiple contexts align: Main POC is close to Pivot POC, both Value Areas overlap, and the level coincides with market structure (swings, OB, FVG, higher timeframe levels, etc.). This combination of structure and two layers of volume creates areas with increased probability of price reaction. The indicator also helps assess move quality — if price moves aggressively but the Pivot Profile does not build meaningful volume, the move may be weak and prone to pullbacks. █ NOTES When the chart is heavily zoomed in, both profiles may appear very similar. This can lead to the false conclusion that a zone is exceptionally strong, while it is only the effect of a narrowed data range. Profiles should always be interpreted from a broader perspective, aligned with your trading horizon. The indicator is not suitable for markets where volume does not reflect real traded activity (e.g., tick volume, synthetic volume, or aggregated data without true liquidity). The quality of volume data directly affects the quality of the levels. There are also markets where no real volume data exists at all. In such environments, the indicator cannot function properly, as its calculations depend entirely on meaningful volume information.
Indicador Pine Script®
por Uncle_the_shooter
SMA 20 & 5 MagicMoving Average based envelops and bands are quite popular tools in the equity trading universe. One such popular band is 20 SMA High-Low band. In 20 SMA High-Low band generally a BUY is signaled when price breaks above the High of the band, and a SELL when price falls below the Low of the band. However, at times the time-price points to look for trading/ investing opportunities and taking position are not very clear in this generic mode. This script combines the 20 SMA High-Low band and a 5 SMA line plotted over it, to tackle this limitation. It helps to find more precise trading/ investing opportunities, Entry and Exit time-price points above & below the band, traversing along the 5 SMA line. The price within the band is usually considered as 'no trades' zone. This set up can be applied on any TF, but generally holds good for swings on daily/ hourly TFs. By tweaking SMA 20 and 5 to SMA 200 and 50 respectively in the settings, it may also help in identifying medium/Long term trends and investment opportunities using daily/ weekly TFs . Take it as a tool for learning and analysis. Happy trading/ investing.
Indicador Pine Script®
por akphuf
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