지금 시작

스크립트에서 "signal"에 대해 찾기

Logarithmic Moving Average (LMA) [QuantAlgo]🟢 Overview The Logarithmic Moving Average (LMA) uses advanced logarithmic weighting to create a dynamic trend-following indicator that prioritizes recent price action while maintaining statistical significance. Unlike traditional moving averages that use linear or exponential weights, this indicator employs logarithmic decay functions to create a more sophisticated price averaging system that adapts to market volatility and momentum conditions. The indicator displays a smoothed signal line that oscillates around zero, with positive values indicating bullish momentum and negative values indicating bearish momentum. The signal incorporates trend quality assessment, momentum confirmation, and multiple filtering mechanisms to help traders and investors identify trend continuation and reversal opportunities across different timeframes and asset classes. 🟢 How It Works The indicator's core innovation lies in its logarithmic weighting system, where weights are calculated using the formula: w = 1.0 / math.pow(math.log(i + steepness), 2) The steepness parameter controls how aggressively recent data is prioritized over historical data, creating a dynamic weight decay that can be fine-tuned for different trading styles. This logarithmic approach provides more nuanced weight distribution compared to exponential moving averages, offering better responsiveness while maintaining stability. The LMA calculation combines multiple sophisticated components. First, it calculates the logarithmic weighted average of closing prices. Then it measures the slope of this average over a 10-period lookback: lmaSlope = (lma - lma ) / lma * 100 The system also incorporates trend quality assessment using R-squared correlation analysis of log-transformed prices, measuring how well the price data fits a linear trend model over the specified period. The final signal generation uses the formula: signal = lmaSlope * (0.5 + rSquared * 0.5) which combines the LMA slope with trend quality weighting. When momentum confirmation is enabled, the indicator calculates annualized log-return momentum and applies a multiplier when the momentum direction aligns with the signal direction, strengthening confirmed signals while filtering out weak or counter-trend movements. 🟢 How to Use 1. Signal Interpretation and Threshold Zones Positive Values (Above Zero): LMA slope indicating bullish momentum with upward price trajectory relative to logarithmic baseline Negative Values (Below Zero): LMA slope indicating bearish momentum with downward price trajectory relative to logarithmic baseline Zero Line Crosses: Signal transitions between bullish and bearish regimes, indicating potential trend changes Long Entry Threshold Zone: Area above positive threshold (default 0.5) indicating confirmed bullish signals suitable for long positions Short Entry Threshold Zone: Area below negative threshold (default -0.5) indicating confirmed bearish signals suitable for short positions Extreme Values: Signals exceeding ±1.0 represent strong momentum conditions with higher probability of continuation 2. Momentum Confirmation and Visual Analysis Signal Color Intensity: Gradient coloring shows signal strength, with brighter colors indicating stronger momentum Bar Coloring: Optional price bar coloring matches signal direction for quick visual trend identification Position Labels: Real-time position classification (Bullish/Bearish/Neutral) displayed on the latest bar Momentum Weight Factor: When short-term log-return momentum aligns with LMA signal direction, the signal receives additional weight confirmation Trend Quality Component: R-squared values weight the signal strength, with higher correlation indicating more reliable trend conditions 3. Examples: Preconfigured Settings Default: Universally applicable configuration balanced for medium-term investing and general trading across multiple timeframes and asset classes. Scalping: Highly responsive setup with shorter period and higher steepness for ultra-short-term trades on 1-15 minute charts, optimized for quick momentum shifts. Swing Trading: Extended period with moderate steepness and increased smoothing for multi-day positions, designed to filter noise while capturing larger price swings on 1-4 hour and daily charts. Trend Following: Maximum smoothing with lower steepness for established trend identification, generating fewer but more reliable signals optimal for daily and weekly timeframes. Mean Reversion: Shorter period with high steepness for counter-trend strategies, more sensitive to extreme moves and reversal opportunities in ranging market conditions.
Pine Script® 인디케이터
QuantAlgo의
16
Stochastic SuperTrend [BigBeluga]🔵 OVERVIEW A hybrid momentum-trend tool that combines Stochastic RSI with SuperTrend logic to deliver clean directional signals based on momentum turns. Stochastic SuperTrend is a straightforward yet powerful oscillator overlay designed to highlight turning points in momentum with high clarity. It overlays a SuperTrend-style envelope onto the Stochastic RSI, generating intuitive up/down signals when a momentum shift occurs across the neutral 50 level. Built for traders who appreciate simplicity without sacrificing reliability. 🔵 CONCEPTS Stochastic RSI: Measures momentum by applying stochastic calculations to the RSI curve instead of raw price. SuperTrend Bands: Dynamic upper/lower bands are drawn around the smoothed Stoch RSI line using a user-defined multiplier. Momentum Direction: Trend flips when the smoothed Stoch RSI crosses above/below the calculated bands. Neutral Bias Filter: Directional arrows only appear when momentum turns above or below the central 50 level—adding confluence. 🔵 FEATURES Trend Detection on Oscillator: Applies SuperTrend logic directly to the Stoch RSI curve. Clean Entry Signals: → 🢁 arrow printed when trend flips bullish below 50 (bottom reversals). → 🢃 arrow printed when trend flips bearish above 50 (top reversals). Custom Multiplier: Adjust sensitivity of SuperTrend band spacing around the oscillator. Neutral Zone Highlight: Visual zone between 0–50 (green) and 50–100 (red) for quick momentum polarity reference. Toggle SuperTrend Line: Option to show/hide the SuperTrend trail on the Stoch RSI. 🔵 HOW TO USE Use 🢁 signals for potential bottom reversals when momentum flips bullish from oversold regions. Use 🢃 signals for potential top reversals when momentum flips bearish from overbought areas. Combine with price-based SuperTrend or support/resistance zones for confluence. Suitable for scalping, swing trading, or momentum filtering across all timeframes. 🔵 CONCLUSION Stochastic SuperTrend is a simple yet refined tool that captures clean momentum shifts with directional clarity. Whether you're identifying reversals, filtering entries, or spotting exhaustion in a trend, this oscillator overlay delivers just what you need— no clutter, just clean momentum structure.
Pine Script® 인디케이터
BigBeluga의
4
Rolling Z-Score Trend [QuantAlgo]🟢 Overview The Rolling Z-Score Trend measures how far the current price deviates from its rolling mean in terms of standard deviations. It transforms price data into standardized scores to identify overbought and oversold conditions while tracking momentum shifts. The indicator displays a Z-Score line showing price deviation from statistical norms, with background momentum columns showing the rate of change in these deviations. This helps traders and investors identify mean reversion opportunities and momentum shifts across different asset classes and timeframes. 🟢 How It Works The indicator uses the Z-Score formula: Z = (X - μ) / σ, where X is the current closing price, μ is the rolling mean, and σ is the rolling standard deviation over a user-defined lookback period. This creates a dynamic baseline that adapts to changing market conditions and standardizes price movements for interpretation across different assets and volatility conditions. The raw Z-Score undergoes 3-period EMA smoothing to reduce noise while maintaining responsiveness to market signals. Beyond the basic Z-Score calculation, the indicator measures the rate of change in Z-Score values between successive bars, displayed as background momentum columns. This momentum component shows acceleration and deceleration of statistical deviations. All calculations are processed through confirmation filters, displaying signals only on confirmed bars to reduce premature signals based on incomplete price action. 🟢 How to Use 1. Z-Score Interpretation and Threshold Zones Positive Values (Above Zero) : Price trading above statistical mean, suggesting bullish momentum or potential overbought conditions Negative Values (Below Zero) : Price trading below statistical mean, suggesting bearish momentum or potential oversold conditions Zero Line Crosses : Signal transitions between statistical regimes and potential trend changes Upper Threshold Zone : Area above entry threshold (default 1.5) indicating potential overbought conditions Lower Threshold Zone : Area below negative entry threshold (default -1.5) indicating potential oversold conditions Extreme Values (±2.0 or higher) : Statistically significant deviations that may indicate reversal opportunities 2. Momentum Background Analysis and Info Table Green Columns : Accelerating positive momentum in Z-Score values Red Columns : Accelerating negative momentum in Z-Score values Column Height : Magnitude of momentum change between bars Momentum Divergence : When columns contradict primary Z-Score direction, often signals impending reversals Info Table : Displays real-time numerical values for both Z-Score and momentum, including trend direction indicators and bar-to-bar change calculations for position management 3. Preconfigured Settings Default : Balanced performance across multiple timeframes and asset classes for general trading and medium-term position management. Scalping : Responsive setup for ultra-short-term trading on 1-15 minute charts with frequent signals and increased sensitivity to quick price movements. Swing Trading : Optimized for multi-day positions with noise filtering, focusing on larger price swings. Most effective on 1-4 hour and daily timeframes. Trend Following : Maximum smoothing that prioritizes established trends over short-term volatility. Generates fewer signals for daily and weekly charts.
Pine Script® 인디케이터
QuantAlgo의
22
Fibonacci Entry Bands [AlgoAlpha]OVERVIEW This script plots Fibonacci Entry Bands, a trend-following and mean-reversion hybrid system built around dynamic volatility-adjusted bands scaled using key Fibonacci levels. It calculates a smoothed basis line and overlays multiple bands at fixed Fibonacci multipliers of either ATR or standard deviation. Depending on the trend direction, specific upper or lower bands become active, offering a clear framework for entry timing, trend identification, and profit-taking zones. CONCEPTS The core idea is to use Fibonacci levels—0.618, 1.0, 1.618, and 2.618—as multipliers on a volatility measure to form layered price bands around a trend-following moving average. Trends are defined by whether the basis is rising or falling. The trend determines which side of the bands is emphasized: upper bands for downtrends, lower bands for uptrends. This approach captures both directional bias and extreme price extensions. Take-profit logic is built in via crossovers relative to the outermost bands, scaled by user-selected aggressiveness. FEATURES Basis Line – A double EMA smoothing of the source defines trend direction and acts as the central mean. Volatility Bands – Four levels per side (based on selected ATR or stdev) mark the Fibonacci bands. These become visible only when trend direction matches the side (e.g., only lower bands plot in an uptrend). Bar Coloring – Bars are shaded with adjustable transparency depending on distance from the basis, with color intensity helping gauge overextension. Entry Arrows – A trend shift triggers either a long or short signal, with a marker at the outermost band with ▲/▼ signs. Take-Profit Crosses – If price rejects near the outer band (based on aggressiveness setting), a cross appears marking potential profit-taking. Bounce Signals – Minor pullbacks that respect the basis line are marked with triangle arrows, hinting at continuation setups. Customization – Users can toggle bar coloring, signal markers, and select between ATR/stdev as well as take-profit aggressiveness. Alerts – All major signals, including entries, take-profits, and bounces, are available as alert conditions. USAGE To use this tool, load it on your chart, adjust the inputs for volatility method and aggressiveness, and wait for entries to form on trend changes. Use TP crosses and bounce arrows as potential exit or scale-in signals.
Pine Script® 인디케이터
AlgoAlpha의
11
ScalpZone NQ 1M - Volume Signals with Highlight Box📊 ScalpZone NQ 1M - Volume Signals with Highlight Box ScalpZone is a professional-grade indicator designed specifically for 1-minute scalping on Nasdaq Futures (NQ), focusing on high-volume price action zones. It automatically detects aggressive buying/selling activity based on volume spikes and visualizes potential entry zones with dynamic horizontal lines and price boxes. 🔍 Key Features: Volume Spike Detection: Identifies high-volume candles using an adjustable EMA-based volume threshold. Directional Volume Signals: Highlights candles with directional momentum (bullish or bearish) based on real-time volume dominance. Scalp Zone Visualization: Draws horizontal support/resistance lines at volume signal prices. Renders price boxes around those levels to highlight actionable zones. Zones automatically extend when respected by price, and disappear when invalidated. Visual Candle Enhancement: Dynamically colors candles to reflect normalized volume intensity and direction. Customizable Parameters: Volume EMA & threshold multiplier Line and box dimensions Toggle zone visibility 🛠️ Use Case: Perfect for scalpers and short-term traders looking to exploit volume-based reversals or breakout traps on the NQ 1-minute chart. Traders can use the visual cues to time entries, manage stops, or validate confluence with other tools (e.g., order flow, delta spikes, or footprint charts).
Pine Script® 인디케이터
MILO888의
Market Breadth Toolkit [LuxAlgo]The Market Breadth Toolkit allows traders to use up to 6 different market breadth measures on two different exchanges, for a total of 12 different views of the market. This toolkit includes divergence detection and allows setting custom fixed levels for traders who want to experiment with them. 🔶 USAGE The main idea behind Breadth is to measure the number of advancing and declining issues and/or volume by exchange to have an idea of the underlying strength of the whole exchange. On the other hand, thrusts represent big impulses in the breadth, as it is described by technicians to be the start of a new bullish trend. By default, the Toolkit is set to "Breadth Thrust Zweig", with divergences enabled. We will now explain all the different breadth measures available in the toolkit. 🔹 Deemer Breakaway Momentum The "Breakaway Momentum" is a concept related to market breadth introduced by legendary technical analyst Walter Deemer. As stated on his website: We coined the term "breakaway momentum" in the 1970's to describe this REALLY powerful upward momentum and: We now know that the stock market generates breakaway momentum when the 10-day total advances on the NYSE are greater than 1.97 times the 10-day total NYSE declines OR the 20-day total advances on the NYSE are greater than 1.72 times the 20-day total NYSE declines. As we can see in the chart above, which shows both methods, momentum is identified when the ratio of advancing issues to declining issues is greater than 1.97 for the 10-day average or 1.72 for the 20-day average. 🔹 Zweig Breadth Tools Legendary trader and author Marting Zweig, best known as the author of "Winning on Wall Street" and the creator of the Put/Call Ratio. In this toolkit, we feature two of his other tools: Breadth Thrust: Number of Advancing / (Number of Advancing + Number of Declining Stocks) Market Thrust: (Number of Advancing × Advancing Volume) — (Number of Declining Stocks × Declining Volume) As we can see on the above chart, the Breadth Thrust printed a new signal on April 24, 2025, which is a bullish signal on the daily chart that can last several months, considering the previous signals. On the right side, we have the Market Thrust as the delta between advancing minus declining volume weighted. 🔹 Whaley Measures Wayne Whaley received the 2010 Charles Dow Award from the CMT Association, as stated on their website: "In 1994, the CMT Association established the Charles H. Dow Award to recognize outstanding research in technical analysis." We include two of the tools from this paper: Advance Decline Thrust: Number of Advancing / (Number of Advancing + Number of Declining Stocks) Up/Down Volume Thrust Advancing Volume / (Advancing Volume + Declining Volume) The chart above shows Thrust signals at extreme readings as described in the paper. 🔹 Divergences The divergence detector is enabled by default, traders can disable it and fine-tune the detection length in the settings panel. 🔹 Fixed Levels Traders can adjust the Thrust detection thresholds in the settings panel. In the image above, we can see the Deemer Breakaway Momentum 10 with the original threshold (below) and with the 3.0 threshold (above). 🔶 SETTINGS Breadth: Choose between 6 different breadth thrust measurement methods. Data: Choose between NYSE or NASDAQ exchanges. Divergences: Enable/Disable divergences and select the length detection. 🔹 Levels Use Fixed Levels: Enable/Disable Fixed Levels. Top Level: Select the top-level threshold. Bottom Level: Select bottom level threshold. Levels Style: Choose between dashed, dotted, or solid style. 🔹 Style Breadth: Select breadth colors Divergence: Select divergence colors
Pine Script® 인디케이터
LuxAlgo의
3
NR4 & NR7 with Breakouts [LuxAlgo]NR4 & NR7 with Breakouts is a simple indicator that utilizes the NR4 and NR7 candle patterns to display candle ranges and signals from range breakouts. 🔶 USAGE The Narrow Range Patterns are candle formations determined by the last candle having a narrower (high-low) range than the previous number. This indicator showcases the 2 most recognized Narrow Range Patterns, which are the 4 and 7 bar variants (NR4 and NR7). These patterns, introduced by Toby Crabel, are thought to provide insight for potential market breakouts by identifying periods of low volatility indicated by a candle with a small range. This is due to the idea that markets often move from periods of low volatility (contraction) to high volatility (expansion), and the NR4 and NR7 patterns help spot these transitions. By utilizing these patterns, traders are better able to anticipate and respond to market shifts for better decision-making and risk management. NOTE: These patterns have traditionally been studied on the Daily Timeframe Chart. This indicator allows the user to select a timeframe to generate these patterns from. It is suggested to be mindful of this when considering these patterns. In this indicator, on the bar after the pattern is detected, the Narrow Range Bar will be highlighted with a zone, and lines displaying the range will extend from it. These ranges are helpful for providing levels to set limit orders and for managing risk. Users are able to adjust which pattern they want visualized on their chart, please note; All NR7s are NR4s but not all NR4s are NR7s. Because of this, you will notice that when selecting "NR4" to display, the colors will change, but the detected ranges will not change. 🔹 Signals When a Narrow Range Bar is detected, the script will wait for the price to close outside of the Range, then a signal will fire indicating the direction of exit. The signals are produced from the last NR4 or NR7 and will have the potential to fire from that range until a new NR4 or NR7 is detected. After a signal fires, the logic goes into a "reset" period where it will wait for the price to reach the Range Mean before firing another signal. These signals can be anticipated by considering the underlying logic and watching price approach the range extremities, and can be improved by utilizing other market information for confluence. 🔶 SETTINGS Timeframe: Choose which timeframe to identify the NR4 and NR7 Pattern on. This must be Higher than the chart timeframe. Pattern Type: Choose which (or all) patterns to display.
Pine Script® 인디케이터
LuxAlgo의
16
MTF RSI & SMA Crossover [OB/OS Filtered Signals]MTF RSI & SMA Crossover This custom indicator combines the power of Multi-Timeframe (MTF) RSI, Simple Moving Average (SMA), and overbought/oversold (OB/OS) conditions to provide precise buy and sell signals based on the crossovers of the RSI and its SMA. The indicator includes the following features: MTF RSI: The Relative Strength Index (RSI) is calculated on a customizable timeframe, giving traders the ability to analyze price momentum across different timeframes. SMA of RSI: The RSI is smoothed using a Simple Moving Average (SMA), helping to filter out market noise and identify clearer trend reversals. Overbought/Oversold Filter: Signals are only triggered when the RSI has been in an overbought (above 70) or oversold (below 30) condition, improving the reliability of potential trend reversals. Buy/Sell Signals: Buy signals occur when the RSI crosses above its SMA after being oversold, indicating potential upward momentum. Sell signals occur when the RSI crosses below its SMA after being overbought, indicating potential downward momentum. Customizable Label Colors: Choose your own colors for the "BUY" and "SELL" labels to match your chart's design and preferences. Alerts: Set alerts for buy and sell signals, ensuring you don't miss a potential trade. This indicator is ideal for traders who want to capture trend reversals and momentum shifts while filtering out false signals by using overbought and oversold conditions. Customize the settings to suit your trading style and strategy.
Pine Script® 인디케이터
TypeGuyNZ의
8
EREMA SignalsOverview The EREMA Signals indicator is a specialized overlay tool designed to display precise buy and sell signals directly on your price chart. Working as a companion to the main Ehlers Reverse EMA indicator, it brings powerful momentum-based signals to your trading strategy without cluttering your chart with additional indicator panels. Key Features On-Chart Signal Visualization: Clear buy/sell arrows appear directly on the price chart Dynamic Signal Positioning: Signals automatically adjust their distance from price using ATR for optimal visibility Multiple Signal Types: Choose from three distinct signal generation methods Clean Chart Interface: Displays only the essential signals, maintaining chart clarity Signal Types Zero Cross: Generates signals when the Ehlers Reverse EMA crosses above/below the zero line MA Cross: Identifies when the Ehlers Reverse EMA crosses its own moving average Zero & MA Cross: The strictest filter, requiring both zero line and MA crossovers for signal generation How To Use Setup First add the main "Ehlers Reverse EMA" indicator to your chart Then add this "EREMA Signals" indicator as an overlay Configure both indicators with identical settings for alpha, MA type, and signal method Reading Signals Green Triangles (below price): Buy signals indicating potential upward momentum Red Triangles (above price): Sell signals indicating potential downward momentum Trading Applications Trend Identification: Zero cross signals help identify changes in overall trend direction Momentum Trading: MA cross signals can identify shorter-term momentum shifts Confirmation Tool: Use alongside other technical indicators or price action strategies Multiple Timeframe Analysis: Apply to different timeframes for more robust trading decisions Best Practices Consider using longer timeframes (4H, Daily) for more reliable signals The combined "Zero & MA Cross" setting provides fewer but higher-quality signals For tighter entries, use the "MA Cross" option in established trends Adjust the Alpha parameter to match your trading style (lower for longer-term, higher for shorter-term) This indicator works seamlessly with the main Ehlers Reverse EMA indicator while maintaining a clean chart interface, making it ideal for traders who prefer visual simplicity without sacrificing analytical power.
Pine Script® 인디케이터
AlgoCollective의
Nef33 Forex & Crypto Trading Signals PRO 1. Understanding the Indicator's Context The indicator generates signals based on confluence (trend, volume, key zones, etc.), but it does not include predefined SL or TP levels. To establish them, we must: Use dynamic or static support/resistance levels already present in the script. Incorporate volatility (such as ATR) to adjust the levels based on market conditions. Define a risk/reward ratio (e.g., 1:2). 2. Options for Determining SL and TP Below, I provide several ideas based on the tools available in the script: Stop Loss (SL) The SL should protect you from adverse movements. You can base it on: ATR (Volatility): Use the smoothed ATR (atr_smooth) multiplied by a factor (e.g., 1.5 or 2) to set a dynamic SL. Buy: SL = Entry Price - (atr_smooth * atr_mult). Sell: SL = Entry Price + (atr_smooth * atr_mult). Key Zones: Place the SL below a support (for buys) or above a resistance (for sells), using Order Blocks, Fair Value Gaps, or Liquidity Zones. Buy: SL below the nearest ob_lows or fvg_lows. Sell: SL above the nearest ob_highs or fvg_highs. VWAP: Use the daily VWAP (vwap_day) as a critical level. Buy: SL below vwap_day. Sell: SL above vwap_day. Take Profit (TP) The TP should maximize profits. You can base it on: Risk/Reward Ratio: Multiply the SL distance by a factor (e.g., 2 or 3). Buy: TP = Entry Price + (SL Distance * 2). Sell: TP = Entry Price - (SL Distance * 2). Key Zones: Target the next resistance (for buys) or support (for sells). Buy: TP at the next ob_highs, fvg_highs, or liq_zone_high. Sell: TP at the next ob_lows, fvg_lows, or liq_zone_low. Ichimoku: Use the cloud levels (Senkou Span A/B) as targets. Buy: TP at senkou_span_a or senkou_span_b (whichever is higher). Sell: TP at senkou_span_a or senkou_span_b (whichever is lower). 3. Practical Implementation Since the script does not automatically draw SL/TP, you can: Calculate them manually: Observe the chart and use the levels mentioned. Modify the code: Add SL/TP as labels (label.new) at the moment of the signal. Here’s an example of how to modify the code to display SL and TP based on ATR with a 1:2 risk/reward ratio: Modified Code (Signals Section) Find the lines where the signals (trade_buy and trade_sell) are generated and add the following: pinescript // Calculate SL and TP based on ATR atr_sl_mult = 1.5 // Multiplier for SL atr_tp_mult = 3.0 // Multiplier for TP (1:2 ratio) sl_distance = atr_smooth * atr_sl_mult tp_distance = atr_smooth * atr_tp_mult if trade_buy entry_price = close sl_price = entry_price - sl_distance tp_price = entry_price + tp_distance label.new(bar_index, low, "Buy: " + str.tostring(math.round(bull_conditions, 1)), color=color.green, textcolor=color.white, style=label.style_label_up, size=size.tiny) label.new(bar_index, sl_price, "SL: " + str.tostring(math.round(sl_price, 2)), color=color.red, textcolor=color.white, style=label.style_label_down, size=size.tiny) label.new(bar_index, tp_price, "TP: " + str.tostring(math.round(tp_price, 2)), color=color.blue, textcolor=color.white, style=label.style_label_up, size=size.tiny) if trade_sell entry_price = close sl_price = entry_price + sl_distance tp_price = entry_price - tp_distance label.new(bar_index, high, "Sell: " + str.tostring(math.round(bear_conditions, 1)), color=color.red, textcolor=color.white, style=label.style_label_down, size=size.tiny) label.new(bar_index, sl_price, "SL: " + str.tostring(math.round(sl_price, 2)), color=color.red, textcolor=color.white, style=label.style_label_up, size=size.tiny) label.new(bar_index, tp_price, "TP: " + str.tostring(math.round(tp_price, 2)), color=color.blue, textcolor=color.white, style=label.style_label_down, size=size.tiny) Code Explanation SL: Calculated by subtracting/adding sl_distance to the entry price (close) depending on whether it’s a buy or sell. TP: Calculated with a double distance (tp_distance) for a 1:2 risk/reward ratio. Visualization: Labels are added to the chart to display SL (red) and TP (blue). 4. Practical Strategy Without Modifying the Code If you don’t want to modify the script, follow these steps manually: Entry: Take the trade_buy or trade_sell signal. SL: Check the smoothed ATR (atr_smooth) on the chart or calculate a fixed level (e.g., 1.5 times the ATR). Also, review nearby key zones (OB, FVG, VWAP). TP: Define a target based on the next key zone or multiply the SL distance by 2 or 3. Example: Buy at 100, ATR = 2. SL = 100 - (2 * 1.5) = 97. TP = 100 + (2 * 3) = 106. 5. Recommendations Test in Demo: Apply this logic in a demo account to adjust the multipliers (atr_sl_mult, atr_tp_mult) based on the market (forex or crypto). Combine with Zones: If the ATR-based SL is too wide, use the nearest OB or FVG as a reference. Risk/Reward Ratio: Adjust the TP based on your tolerance (1:1, 1:2, 1:3)
Pine Script® 인디케이터
neftali1327의
1
Range Breakout Signals [AlgoAlpha]OVERVIEW This script detects range-bound market conditions and breakout signals using a combination of volatility compression and volume imbalance analysis. It identifies zones where price consolidates within a defined range and highlights potential breakout points with visual markers. Traders can use this to spot market transitions from ranging to trending phases, aiding in decision-making for breakout strategies. CONCEPTS The script measures volatility by comparing the ratio of the simple moving average (SMA) of price movements to their median value. When volatility drops below a threshold, the script assumes a range-bound market. It then tracks the cumulative volume of buying and selling pressure to assess breakout strength. The approach is based on the idea that market consolidation often precedes strong moves, and volume distribution can provide clues on the breakout direction. FEATURES Range Detection : Uses a volatility filter to identify low-volatility zones and marks them on the chart with shaded boxes. Volume Imbalance Analysis : Evaluates cumulative up and down volume over a confirmation period to assess directional bias. Breakout Signals : When price exits a detected range, the script plots breakout markers. A ▲ symbol indicates a bullish breakout, and a ▼ symbol indicates a bearish breakout. Additional "+" markers indicate strong volume imbalance favoring the breakout direction. Adaptive Timeframe Volume Analysis : The script dynamically adjusts its volume calculation based on the chart’s timeframe, ensuring reliable signal generation across different trading conditions. Alerts : Notifies traders when a new range is detected or when a breakout occurs, allowing for automated monitoring. USAGE Traders can use this script to identify potential trade setups by entering positions when price breaks out of a detected range. For breakout confirmation, traders can look at volume imbalance cues—bullish breakouts with strong buying volume may indicate sustained moves, while weak volume breakouts may lead to false signals. This script is particularly useful for breakout traders, range traders seeking to fade breakouts, and those looking to automate trade alerts in volatile markets.
Pine Script® 인디케이터
AlgoAlpha의
9
Triangular Hull Moving Average + Volatility [BigBeluga]This indicator combines the Triangular Hull Moving Average (THMA) with a volatility overlay to provide a smoother trend-following tool while dynamically visualizing market volatility. 🔵 Key Features: THMA-Based Trend Detection: The indicator applies a Triangular Hull Moving Average (THMA) to smooth price data, reducing lag while maintaining responsiveness to trend changes. // THMA thma(_src, _length) => ta.wma(ta.wma(_src,_length / 3) * 3 - ta.wma(_src, _length / 2) - ta.wma(_src, _length), _length) Dynamic Volatility Bands: When enabled, the indicator displays wicks extending from the THMA-based candles. These bands expand and contract based on price volatility. Trend Reversal Signals The indicator marks trend shifts using triangle-shaped signals: - Upward triangles appear when the THMA trend shifts to bullish. - Downward triangles appear when the THMA trend shifts to bearish. Customizable Settings: Users can adjust the THMA length, volatility calculation period, and colors for up/down trends to fit their trading style. Informative Dashboard: The bottom-right corner displays the current trend direction and volatility percentage, helping traders quickly assess market conditions. 🔵 Usage: Trend Trading: The colored candles indicate whether the market is trending up or down. Traders can follow the trend direction and use trend reversals for entry or exit points. Volatility Monitoring: When the volatility feature is enabled, the expanding or contracting wicks help visualize market momentum and potential breakout strength. Signal Confirmation: The triangle signals can be used to confirm potential entry points when the trend shifts. This tool is ideal for traders who want a responsive moving average with volatility insights to enhance their trend-following strategies.
Pine Script® 인디케이터
BigBeluga의
23
Price Step Channel [BigBeluga]Price Step Channel is designed to provide a structured look at price trends through a dynamic step line channel, highlighting trend direction and volatility boundaries. 🔵 Key Features: Step Line with Boundaries: The central step line adjusts with price movements, creating upper and lower boundaries based on price volatility. The channel is green during uptrends and red during downtrends, visually signaling the trend’s direction. Fakeout Markers: "✖" markers identify potential fakeouts—moments when the price breaches the channel boundary without confirming a trend change. These markers help you spot possible mean reversion points. Dynamic Boundary Labels: Labels at the end of the channel show the price levels of the upper and lower boundaries. In uptrends, the upper label turns green; in downtrends, the lower label turns red, providing an instant read on the trend's direction. Customizable Display: You can toggle off the boundaries and labels for a cleaner view, focusing only on the step line and its color-coded trend signals. 🔵 When to Use: Price Step Channel is ideal for traders looking to follow structured trends with defined volatility boundaries. The step line and color-coded channel provide clear trend insights, while the fakeout markers and customizable display options enhance flexibility in different market conditions. Whether you’re focusing on clean trend signals or detailed boundary interactions, this tool adapts to your style.
Pine Script® 인디케이터
BigBeluga의
12
RSI Divergence + Sweep + Signal + Alerts Toolkit [TrendX_]The RSI Toolkit is a powerful set of tools designed to enhance the functionality of the traditional Relative Strength Index (RSI) indicator. By integrating advanced features such as Moving Averages, Divergences, and Sweeps, it helps traders identify key market dynamics, potential reversals, and newly-approach trading stragies. The toolkit expands on standard RSI usage by incorporating features from smart money concepts (Just try to be creative 🤣 Hope you like it), providing a deeper understanding of momentum, liquidity sweeps, and trend reversals. It is suitable for RSI traders who want to make more informed and effective trading decisions. 💎 FEATURES RSI Moving Average The RSI Moving Average (RSI MA) is the moving average of the RSI itself. It can be customized to use various types of moving averages, including Simple Moving Average (SMA), Exponential Moving Average (EMA), Relative Moving Average (RMA), and Volume-Weighted Moving Average (VWMA). The RSI MA smooths out the RSI fluctuations, making it easier to identify trends and crossovers. It helps traders spot momentum shifts and potential entry/exit points by observing when the RSI crosses above or below its moving average. RSI Divergence RSI Divergence identifies discrepancies between price action and RSI momentum. There are two types of divergences: Regular Divergence - Indicates a potential trend reversal; Hidden Divergence - Suggests the continuation of the current trend. Divergence is a critical signal for spotting weakness or strength in a trend. Regular divergence highlights potential trend reversals, while hidden divergence confirms trend continuation, offering traders valuable insights into market momentum and possible trade setups. RSI Sweep RSI Sweep detects moments when the RSI removes liquidity from a trend structure by sweeping above or below the price at key momentum level crossing. These sweeps are overlaid on the RSI chart for easier visualized. RSI Sweeps are significant because they indicate potential turning points in the market. When RSI sweeps occur: In an uptrend - they suggest buyers' momentum has peaked, possibly leading to a reversal; In a downtrend - they indicate sellers’ momentum has peaked, also hinting at a reversal. (Note: This feature incorporates Liquidity Sweep concepts from Smart Money Concepts into RSI analysis, helping RSI traders identify areas where liquidity has been removed, which often precedes a trend reversal) 🔎 BREAKDOWN RSI Moving Average How MA created: The RSI value is calculated first using the standard RSI formula. The MA is then applied to the RSI values using the trader’s chosen type of MA (SMA, EMA, RMA, or VWMA). The flexibility to choose the type of MA allows traders to adjust the smoothing effect based on their trading style. Why use MA: RSI by itself can be noisy and difficult to interpret in volatile markets. Applying moving average would provide a smoother, more reliable view of RSI trends. RSI Divergence How Regular Divergence created: Regular Divergence is detected when price forms HIGHER highs while RSI forms LOWER highs (bearish divergence) or when price forms LOWER lows while RSI forms HIGHER lows (bullish divergence). How Hidden Divergence created: Hidden Divergence is identified when price forms HIGHER lows while RSI forms LOWER lows (bullish hidden divergence) or when price forms LOWER highs while RSI forms HIGHER highs (bearish hidden divergence). Why use Divergence: Divergences provide early warning signals of a potential trend change. Regular divergence helps traders anticipate reversals, while hidden divergence supports trend continuation, enabling traders to align their trades with market momentum. RSI Sweep How Sweep created: Trend Structure Shift are identified based on the RSI crossing key momentum level of 50. To track these sweeps, the indicator pinpoints moments when liquidity is removed from the Trend Structure Shift. This is a direct application of Liquidity Sweep concepts used in Smart Money theories, adapted to RSI. Why use Sweep: RSI Sweeps are created to help traders detect potential trend reversals. By identifying areas where momentum has exhausted during a certain trend direction, the indicator highlights opportunities for traders to enter trades early in a reversal or continuation phase. ⚙️ USAGES Divergence + Sweep This is an example of combining Devergence & Sweep in BTCUSDT (1 hour) Wait for a divergence (regular or hidden) to form on the RSI. After the divergence is complete, look for a sweep to occur. A potential entry might be formed at the end of the sweep. Divergences indicate a potential trend change, but confirmation is required to ensure the setup is valid. The RSI Sweep provides that confirmation by signaling a liquidity event, increasing the likelihood of a successful trade. Sweep + MA Cross This is an example of combining Devergence & Sweep in BTCUSDT (1 hour) Wait for an RSI Sweep to form then a potential entry might be formed when the RSI crosses its MA. The RSI Sweep highlights a potential turning point in the market. The MA cross serves as additional confirmation that momentum has shifted, providing a more reliable and more potential entry signal for trend continuations. DISCLAIMER This indicator is not financial advice, it can only help traders make better decisions. There are many factors and uncertainties that can affect the outcome of any endeavor, and no one can guarantee or predict with certainty what will occur. Therefore, one should always exercise caution and judgment when making decisions based on past performance.
Pine Script® 인디케이터
TrendXvn의
9
Meme Coin Buy Signal Indicator by asharThis custom TradingView indicator is specifically designed for meme coins, using technical analysis indicators to identify optimal buy signals. It combines short-term moving averages, volume spikes, and Bitcoin trend alignment to pinpoint potential entry points during high-momentum periods. Indicator Components: Moving Averages (MA): A 5-period fast MA and a 13-period slow MA highlight short-term price momentum. Buy signals are generated when the fast MA crosses above the slow MA, indicating potential upward momentum. Volume Spike Detection: The indicator detects high-volume periods using a multiplier. If the current volume exceeds the 10-period average volume by the set multiplier (default: 2.0), it indicates increased buying interest, which is crucial for meme coins. Bitcoin Trend Alignment: The trend of Bitcoin, a market-wide sentiment indicator, is gauged with a 20-day moving average. Buy signals are validated only when Bitcoin is also in an uptrend, providing additional bullish confirmation for meme coins. Buy Signal Criteria: A buy signal is triggered when: The fast MA crosses above the slow MA. Volume is above the average by the set multiplier. The price is above the slow MA. Bitcoin is trending up based on the 20-day moving average. This indicator is ideal for meme coin traders looking to time entries with momentum-driven trends, aligning volume and trend indicators for a more comprehensive approach to high-risk assets.
Pine Script® 인디케이터
asharzafar03의
Half Trend Regression [AlgoAlpha]Introducing the Half Trend Regression indicator by AlgoAlpha, a cutting-edge tool designed to provide traders with precise trend detection and reversal signals. This indicator uniquely combines linear regression analysis with ATR-based channel offsets to deliver a dynamic view of market trends. Ideal for traders looking to integrate statistical methods into their analysis to improve trade timing and decision-making. Key Features 🎨 Customizable Appearance : Adjust colors for bullish (green) and bearish (red) trends to match your charting preferences. 🔧 Flexible Parameters : Configure amplitude, channel deviation, and linear regression length to tailor the indicator to different time frames and trading styles. 📈 Dynamic Trend Line : Utilizes linear regression of high, low, and close prices to calculate a trend line that adapts to market movements. 🚀 Trend Direction Signals : Provides clear visual signals for potential trend reversals with plotted arrows on the chart. 📊 Adaptive Channels : Incorporates ATR-based channel offsets to account for market volatility and highlight potential support and resistance zones. 🔔 Alerts : Set up alerts for bullish or bearish trend changes to stay informed of market shifts in real-time. How to Use 🛠 Add the Indicator : Add the Half Trend Regression indicator to your chart from the TradingView library. Access the settings to customize parameters such as amplitude, channel deviation, and linear regression length to suit your trading strategy. 📊 Analyze the Trend : Observe the plotted trend line and the filled areas under it. A green fill indicates a bullish trend, while a red fill indicates a bearish trend. 🔔 Set Alerts : Use the built-in alert conditions to receive notifications when a trend reversal is detected, allowing you to react promptly to market changes. How It Works The Half Trend Regression indicator calculates linear regression lines for the high, low, and close prices over a specified period to determine the general direction of the market. It then computes moving averages and identifies the highest and lowest points within these regression lines to establish a dynamic trend line. The trend direction is determined by comparing the moving averages and previous price levels, updating as new data becomes available. To account for market volatility, the indicator calculates channels above and below the trend line, offset by a multiple of half the Average True Range (ATR). These channels help visualize potential support and resistance zones. The area under the trend line is filled with color corresponding to the current trend direction—green for bullish and red for bearish. When the trend direction changes, the indicator plots arrows on the chart to signal a potential reversal, and alerts can be set up to notify you. By integrating linear regression and ATR-based channels, the indicator provides a comprehensive view of market trends and potential reversal points, aiding traders in making informed decisions. Enhance your trading strategy with the Half Trend Regression indicator by AlgoAlpha and gain a statistical edge in the markets! 🌟📊
Pine Script® 인디케이터
AlgoAlpha의
3
Target Trend [BigBeluga]The Target Trend indicator is a trend-following tool designed to assist traders in capturing directional moves while managing entry, stop loss, and profit targets visually on the chart. Using adaptive SMA bands as the core trend detection method, this indicator dynamically identifies shifts in trend direction and provides structured exit points through customizable target levels. SP500: 🔵 IDEA The Target Trend indicator’s concept is to simplify trade management by providing automated visual cues for entries, stops, and targets directly on the chart. When a trend change is detected, the indicator prints an up or down triangle to signal entry direction, plots three customizable target levels for potential exits, and calculates a stop-loss level below or above the entry point. The indicator continuously adapts as price moves, making it easier for traders to follow and manage trades in real time. When price crosses a target level, the label changes to a check mark, confirming that the target has been achieved. Similarly, if the stop-loss level is hit, the label changes to an "X," and the line becomes dashed, indicating that the stop loss has been activated. This feature provides traders with a clear visual trail of whether their targets or stop loss have been hit, allowing for easier trade tracking and exit strategy management. 🔵 KEY FEATURES & USAGE SMA Bands for Trend Detection: The indicator uses adaptive SMA bands to identify the trend direction. When price crosses above or below these bands, a new trend is detected, triggering entry signals. The entry point is marked on the chart with a triangle symbol, which updates with each new trend change. Automated Targets and Stop Loss Management: Upon a new trend signal, the indicator automatically plots three price targets and a stop loss level. These levels provide traders with structured exit points for potential gains and a clear risk limit. The stop loss is placed below or above the entry point, depending on the trend direction, to manage downside risk effectively. Visual Target and Stop Loss Validation: As price hits each target, the label beside the level updates to a check mark, indicating that the target has been reached. Similarly, if the stop loss is activated, the stop loss label changes to an "X," and the line becomes dashed. This feature visually confirms whether targets or stop losses are hit, simplifying trade management. The indicator also marks the entry price at each trend change with a label on the chart, allowing traders to quickly see their initial entry point relative to current price and target levels. 🔵 CUSTOMIZATION Trend Length: Set the lookback period for the trend-detection SMA bands to adjust the sensitivity to trend changes. Targets Setting: Customize the number and spacing of the targets to fit your trading style and market conditions. Visual Styles: Adjust the appearance of labels, lines, and symbols on the chart for a clearer view and personalized layout. 🔵 CONCLUSION The Target Trend indicator offers a streamlined approach to trend trading by integrating entry, target, and stop loss management into a single visual tool. With automatic tracking of target levels and stop loss hits, it helps traders stay focused on the current trend while keeping track of risk and reward with minimal effort.
Pine Script® 인디케이터
BigBeluga의
83
Multi Fibonacci Supertrend with Signals【FIbonacciFlux】Multi Fibonacci Supertrend with Signals (MFSS) Overview The Multi Fibonacci Supertrend with Signals (MFSS) is an advanced technical analysis tool that combines multiple Supertrend indicators using Fibonacci ratios to identify trend directions and potential trading opportunities. Key Features 1. Fibonacci-Based Supertrend Levels * Factor 1 (Weak) : 0.618 - The golden ratio * Factor 2 (Medium) : 1.618 - The Fibonacci ratio * Factor 3 (Strong) : 2.618 - The extension ratio 2. Visual Components * Multi-layered Trend Lines * Different line weights for easy identification * Progressive transparency from Factor 1 to Factor 3 * Color-coded trend directions (Green for bullish, Red for bearish) * Dynamic Fill Areas * Gradient fills between price and trend lines * Visual representation of trend strength * Automatic color adjustment based on trend direction * Signal Indicators * Clear BUY/SELL labels on chart * Position-adaptive signal placement * High-visibility color scheme 3. Signal Generation Logic The system generates signals based on two key conditions: * Primary Condition : * BUY : Price crossunder Supertrend2 (Factor 1.618) * SELL : Price crossover Supertrend2 (Factor 1.618) * Confirmation Filter : * Signals only trigger when Supertrend3 confirms the trend direction * Reduces false signals in volatile markets Technical Details Input Parameters * ATR Period : 10 (default) * Customizable for different market conditions * Affects sensitivity of all Supertrend levels * Factor Settings : * All factors are customizable * Default values based on Fibonacci sequence * Minimum value: 0.01 * Step size: 0.01 Alert System * Built-in alert conditions * Customizable alert messages * Real-time notification support Use Cases * Trend Trading * Identify strong trend directions * Filter out weak signals * Confirm trend continuations * Risk Management * Multiple trend levels for stop-loss placement * Clear entry and exit signals * Trend strength visualization * Market Analysis * Multi-timeframe analysis capability * Trend strength assessment * Market structure identification Benefits * Reliability * Based on proven Supertrend algorithm * Enhanced with Fibonacci mathematics * Multiple confirmation levels * Clarity * Clear visual signals * Easy-to-interpret interface * Reduced noise in signal generation * Flexibility * Customizable parameters * Adaptable to different markets * Suitable for various trading styles Performance Considerations * Optimized code structure * Efficient calculation methods * Minimal resource usage Installation and Usage Setup * Add indicator to chart * Adjust parameters if needed * Enable alerts as required Best Practices * Use with other confirmation tools * Adjust factors based on market volatility * Consider timeframe appropriateness Backtesting Results and Strategy Performance This indicator is specifically designed for pullback trading with optimized risk-reward ratios in trend-following strategies. Below are the detailed backtesting results from our proprietary strategy implementation: BTCUSDT Performance (Binance) * Test Period: Approximately 7 years * Risk-Reward Ratio: 2:1 * Take Profit: 8% * Stop Loss: 4% Key Metrics (BTCUSDT): * Net Profit: +2,579% * Total Trades: 551 * Win Rate: 44.8% * Profit Factor: 1.278 * Maximum Drawdown: 42.86% ETHUSD Performance (Binance) * Risk-Reward Ratio: 4.33:1 * Take Profit: 13% * Stop Loss: 3% Key Metrics (ETHUSD): * Net Profit: +8,563% * Total Trades: 581 * Win Rate: 32% * Profit Factor: 1.32 * Maximum Drawdown: 55% Strategy Highlights: * Optimized for pullback trading in strong trends * Focus on high risk-reward ratios * Proven effectiveness in major cryptocurrency pairs * Consistent performance across different market conditions * Robust profit factor despite moderate win rates Note: These results are from our proprietary strategy implementation and should be used as reference only. Individual results may vary based on market conditions and implementation. Important Considerations: * The strategy demonstrates strong profitability despite lower win rates, emphasizing the importance of proper risk-reward ratios * Higher drawdowns are compensated by significant overall returns * The system shows adaptability across different cryptocurrencies with consistent profit factors * Results suggest optimal performance in volatile crypto markets Real Trading Examples BTCUSDT 4-Hour Chart Analysis Example of pullback strategy implementation on Bitcoin, showing clear trend definition and entry points ETHUSDT 4-Hour Chart Analysis Ethereum chart demonstrating effective signal generation during strong trends BTCUSDT Detailed Signal Example (15-Minute Scalping) Close-up view of signal generation and trend confirmation process on 15-minute timeframe, demonstrating the indicator's effectiveness for scalping operations Chart Analysis Notes: * Green and red zones clearly indicate trend direction * Multiple timeframe confirmation visible through different Supertrend levels * Clear entry signals during pullbacks in established trends * Precise stop-loss placement opportunities below support levels Implementation Guidelines: * Wait for main trend confirmation from Factor 3 (2.618) * Enter trades on pullbacks to Factor 2 (1.618) * Use Factor 1 (0.618) for fine-tuning entry points * Place stops below the relevant Supertrend level Footnotes: * Charts provided are from Binance exchange, using both 4-hour and 15-minute timeframes * Trading view screenshots captured during actual market conditions * Indicators shown: Multi Fibonacci Supertrend with all three factors * Time period: Recent market activity showing various market conditions Important Notice: These charts are for educational purposes only. Past performance does not guarantee future results. Always conduct your own analysis and risk management. Disclaimer This indicator is for informational purposes only. Past performance is not indicative of future results. Always conduct proper risk management and due diligence. License Open source under MIT License Author's Note Contributions and suggestions for improvement are welcome. Please feel free to fork and enhance.
Pine Script® 인디케이터
FibonacciFlux의
Multi Deviation Scaled Moving Average [ChartPrime]Multi Deviation Scaled Moving Average ChartPrime ⯁ OVERVIEW The Multi Deviation Scaled Moving Average is an analysis tool that combines multiple Deviation Scaled Moving Averages (DSMAs) to provide a comprehensive view of market trends. The DSMA, originally created by John Ehlers, is a sophisticated moving average that adapts to market volatility. This indicator offers a unique approach to trend analysis by utilizing a series of DSMAs with different periods and presenting the results through a color-coded line and a visual histogram. ◆ KEY FEATURES Multiple DSMA Calculation: Computes eight DSMAs with incrementally increasing periods for multi-faceted trend analysis. Trend Strength Visualization: Provides a color-coded moving average line indicating trend strength and direction. Trend Percentage Histogram: Displays a visual representation of bullish vs bearish trend percentages. Signal Generation: Identifies potential entry and exit points based on trend strength crossovers. Customizable Parameters: Allows users to adjust the base period and sensitivity of the indicator. ◆ USAGE Trend Direction and Strength: The color and intensity of the main indicator line provide quick insights into the current trend. Trend Percentage Histogram: The histogram value can give you an idea of ​​the market trend ahead Entry and Exit Signals: Diamond-shaped markers indicate potential trade entry and exit points based on trend strength shifts. Trend Bias Assessment: The trend percentage histogram offers a visual representation of the overall market bias. Multi-Timeframe Analysis: By applying the indicator to different timeframes, traders can gain insights into trends across various time horizons. ⯁ USER INPUTS Period: Sets the initial calculation period for the DSMAs (default: 30). Sensitivity: Adjusts the step size between DSMA periods. Lower values increase sensitivity (default: 60, range: 0-100). Source: Uses HLC3 (High, Low, Close average) as the default price source. The Multi Deviation Scaled Moving Average indicator offers traders a sophisticated tool for trend analysis and signal generation. By combining multiple DSMAs and providing clear visual cues, it enables traders to make more informed decisions about market direction and potential entry or exit points. The indicator's customizable parameters allow for fine-tuning to suit various trading styles and market conditions.
Pine Script® 인디케이터
ChartPrime의
30
Advanced Awesome Oscillator [CryptoSea]Advanced AO Analysis Indicator The Advanced AO Analysis indicator is a sophisticated tool designed to evaluate the Awesome Oscillator (AO) in search of regular and hidden divergences that signal potential price reversals. By tracking the intensity and duration of the AO's movements, this indicator aids traders in pinpointing critical points in price action. Key Features Divergence Detection: Identifies both regular and hidden bullish and bearish divergences, providing early signs of potential market reversals. Customizable Lookback Periods: Allows users to set specific lookback windows to define the strength and relevance of detected divergences. Adaptive Oscillator Display: Features customizable display options for the AO, enabling users to view data in different modes suited to their analysis needs. Alert System: Includes configurable alerts to notify users of potential divergence formations, helping traders respond promptly. How it Works AO Calculation: Computes the AO as the difference between short-term and long-term moving averages of the midpoints of bars, highlighting momentum shifts. Pivot Point Analysis: Utilizes advanced algorithms to find low and high pivot points based on the oscillator values, crucial for spotting trend reversals. Range Validation: Verifies that divergences occur within a predefined range from pivot points, ensuring their validity and strength. Visualisation: Plots AO values and potential divergences directly on the chart, aiding in quick visual analysis. Application Strategic Decision-Making: Assists traders in making informed decisions by providing detailed analysis of AO movements and divergence. Trend Confirmation: Reinforces trading strategies by confirming potential reversals with pivot point detection and divergence analysis. Behavioural Insight: Offers insights into market dynamics and sentiment by analyzing the depth and duration of AO cycles above and below zero. The Advanced AO Analysis indicator equips traders with a powerful analytical tool for studying the Awesome Oscillator in-depth, enhancing their ability to spot and act on divergence-based trading opportunities in the cryptocurrency markets.
Pine Script® 인디케이터
CryptoSeaTV의
Normalised T3 Oscillator [BackQuant]Normalised T3 Oscillator The Normalised T3 Oscillator is an technical indicator designed to provide traders with a refined measure of market momentum by normalizing the T3 Moving Average. This tool was developed to enhance trading decisions by smoothing price data and reducing market noise, allowing for clearer trend recognition and potential signal generation. Below is a detailed breakdown of the Normalised T3 Oscillator, its methodology, and its application in trading scenarios. 1. Conceptual Foundation and Definition of T3 The T3 Moving Average, originally proposed by Tim Tillson, is renowned for its smoothness and responsiveness, achieved through a combination of multiple Exponential Moving Averages and a volume factor. The Normalised T3 Oscillator extends this concept by normalizing these values to oscillate around a central zero line, which aids in highlighting overbought and oversold conditions. 2. Normalization Process Normalization in this context refers to the adjustment of the T3 values to ensure that the oscillator provides a standard range of output. This is accomplished by calculating the lowest and highest values of the T3 over a user-defined period and scaling the output between -0.5 to +0.5. This process not only aids in standardizing the indicator across different securities and time frames but also enhances comparative analysis. 3. Integration of the Oscillator and Moving Average A unique feature of the Normalised T3 Oscillator is the inclusion of a secondary smoothing mechanism via a moving average of the oscillator itself, selectable from various types such as SMA, EMA, and more. This moving average acts as a signal line, providing potential buy or sell triggers when the oscillator crosses this line, thus offering dual layers of analysis—momentum and trend confirmation. 4. Visualization and User Interaction The indicator is designed with user interaction in mind, featuring customizable parameters such as the length of the T3, normalization period, and type of moving average used for signals. Additionally, the oscillator is plotted with a color-coded scheme that visually represents different strength levels of the market conditions, enhancing readability and quick decision-making. 5. Practical Applications and Strategy Integration Traders can leverage the Normalised T3 Oscillator in various trading strategies, including trend following, counter-trend plays, and as a component of a broader trading system. It is particularly useful in identifying turning points in the market or confirming ongoing trends. The clear visualization and customizable nature of the oscillator facilitate its adaptation to different trading styles and market environments. 6. Advanced Features and Customization Further enhancing its utility, the indicator includes options such as painting candles according to the trend, showing static levels for quick reference, and alerts for crossover and crossunder events, which can be integrated into automated trading systems. These features allow for a high degree of personalization, enabling traders to mold the tool according to their specific trading preferences and risk management requirements. 7. Theoretical Justification and Empirical Usage The use of the T3 smoothing mechanism combined with normalization is theoretically sound, aiming to reduce lag and false signals often associated with traditional moving averages. The practical effectiveness of the Normalised T3 Oscillator should be validated through rigorous backtesting and adjustment of parameters to match historical market conditions and volatility. 8. Conclusion and Utility in Market Analysis Overall, the Normalised T3 Oscillator by BackQuant stands as a sophisticated tool for market analysis, providing traders with a dynamic and adaptable approach to gauging market momentum. Its development is rooted in the understanding of technical nuances and the demand for a more stable, responsive, and customizable trading indicator. Thus following all of the key points here are some sample backtests on the 1D Chart Disclaimer: Backtests are based off past results, and are not indicative of the future. INDEX:BTCUSD INDEX:ETHUSD BINANCE:SOLUSD
Pine Script® 인디케이터
BackQuant의
8
Uptrick: RSI MA Buying/Selling signalsIndicator Purpose: This indicator, titled "Uptrick: RSI MA Buying/Selling signals" or "UpRSIMA," aims to provide buying and selling signals based on the Moving Average (MA) of the Relative Strength Index (RSI). It plots the RSI MA line and highlights whether the RSI MA value is above or below 50, indicating potential bullish or bearish signals, respectively. RSI Calculation: The script calculates the RSI using a user-defined length parameter (default is 14) and a specified source (typically the closing price). It then computes the MA of the RSI using the Recursive Moving Average (RMA) function applied to the RSI values. Color Representation: The color of the RSI MA line is determined based on whether it's above or below the neutral level of 50. If the RSI MA is above 50, indicating potential bullish signals, the color is set to green; otherwise, it's set to red for potential bearish signals. Plotting: The RSI MA line is plotted on the chart with the specified color based on its value relative to 50. Additionally, a horizontal line is drawn at y = 50 to visually represent the neutral level. Histogram bars are also added to visually represent the difference between the RSI MA and the neutral level, with green bars indicating bullish signals and red bars indicating bearish signals. User Interface: The indicator is designed to be used as an overlay on price charts, allowing traders to easily visualize potential buying and selling signals based on RSI MA crossovers and levels relative to 50. Overall, the "Uptrick: RSI MA Buying/Selling signals" indicator offers traders insights into potential trend reversals or continuations based on the moving average of the Relative Strength Index, aiding them in making informed trading decisions.
Pine Script® 인디케이터
Uptrick의
Cumulative Delta Volume WaveIntroducing an Enhanced Version of the CDV by LonesomeTheBlue For the original version and description check this link: What Makes This Version Different than the original? This enhanced version of the CDV indicator incorporates advanced signal processing techniques to bring new depth to market analysis. Standard Deviation Bands and EMAs: These additions to the CDV offer a visual representation of significant market movements—highlighting major pumps and dumps, as well as identifying potential support and resistance levels. Color-Coded Insights: The standard deviation bands utilize color coding based on signal processing principles. This feature becomes increasingly useful the more you zoom out, making it easier to observe and interpret market waves. Market Maker Activity: By examining fluctuations within the standard deviation bands, traders can gauge when Market Makers are actively maneuvering to establish their long and short positions, often at the expense of retail traders. EMA Support and Resistance: The embedded Exponential Moving Averages (EMAs) serve as dynamic support and resistance levels. Analyzing these can help traders determine the continuing strength of a market move, whether bullish or bearish. Visual Guide to the Basics For a clearer understanding of what this enhanced indicator can show, please refer to the image below: And in addition to all the above one can detect relevant W and M structures way easier with this indicator ;)
Pine Script® 인디케이터
farkasszilard의
7