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Boost Candle Indicator by JulianThe Boost Candle Trading Indicator is designed to identify significant price movements by calculating the average candle size for the same direction candles (green for bullish and red for bearish) over a specified number of periods. It then highlights candles that exceed a predefined multiple of this average size, indicating potential strong buying or selling pressure. Key Features: Directional Average Calculation: Calculates the average size of the previous candles in the same direction (green for buy signals and red for sell signals), ensuring the boost signal is contextually relevant. Boost Multiplier: Allows customization of the multiplier to define what constitutes a boost candle, providing flexibility in detecting varying levels of price movement intensity. Proximity to Moving Average: Integrates a proximity check to the moving average (MA), ensuring that boost candles are identified in context with the overall market trend. Buy and Sell Signals: Buy Signal: Triggered when a significant green boost candle appears below the moving average and closes above it, indicating a strong bullish movement. Sell Signal: Triggered when a significant red boost candle appears above the moving average and closes below it, indicating a strong bearish movement. Customizable Inputs: Moving Average Length: Adjust the length of the moving average to suit different trading strategies. Number of Periods for Average Candle Size: Define the lookback period for calculating the average candle size. Boost Multiplier and Proximity Tolerance: Fine-tune the sensitivity of the indicator to suit different market conditions. How to Use: Buy Signals: Look for green labels ("B") below significant bullish candles, indicating a potential upward price movement. Sell Signals: Look for red labels ("S") above significant bearish candles, indicating a potential downward price movement. Proximity to Moving Average: Use the proximity tolerance setting to filter out signals that are not closely aligned with the moving average trend. This indicator is ideal for traders looking to identify strong market movements and align their trades with significant price actions. Customize the settings to fit your trading style and enhance your market analysis.
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sherghan7 tarafından
Kitti-Playbook Fibonacci retracement GAGE R0.00 Release Notes: Oct 25 2021 OVERVIEW :Kitti-Playbook Fibonacci retracement GAGE R0.00 Easy for visualize Fibonacci retracement level CONCEPTS 1)Minimum Line = Lowest level of Source form start 2)Maximum Line = Highest level of Source form New Low 3)Calculation a) Fibonacci Retracement of 61.8% form Maximum level b) Fibonacci Retracement of 78.6% form Maximum level c) Fibonacci Retracement of 88.7% form Maximum level d) Fibonacci Retracement of 94.2% form Maximum level 4)Information Display a) Information Bar show Number of New Low , Max level , Min Level , Last Bar No, Current Pricel b) GAGE Scale Number c) New Low
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Kittimasak_S tarafından
1
Quant Signals: Market Sentiment Monitor HUDWavelets & Scale Spectrum This indicator is ideal for traders who adapt their strategy to market conditions — such as swing traders, intraday traders, and system developers. Trend-followers can use it to confirm trending conditions before entering. Mean-reversion traders can spot choppy markets where reversals are more likely. Risk managers can monitor volatility shifts and regime changes to adjust position size or pause trading. It works best as a market context filter — telling you the “weather” before you decide on the trade. Wavelets are like tiny “measuring rulers” for price changes. Instead of looking at the whole chart at once, a wavelet looks at differences in price over a specific time scale — for example, 2 bars, 4 bars, 8 bars, and so on. The scale spectrum is what you get when you measure volatility at several of these scales and then plot them against scale size. If the spectrum forms a straight line on a log–log chart, it means price changes follow a consistent pattern across time scales (a power-law relationship). The slope of that line gives the Hurst exponent (H) — telling you whether moves tend to persist (trend) or reverse (mean-revert). The height of the line gives you the volatility (σ) — the average size of moves. This approach works like a microscope, revealing whether the market’s behaviour is consistent across short-term and long-term horizons, and when that behaviour changes. This tool applies a wavelet-based scale-spectrum analysis to price data to estimate three key market state measures inside a rolling window: Hurst exponent (H) — measures persistence in price moves: H > ~0.55 → market is trending (moves tend to continue). H < ~0.45 → market is choppy/mean-reverting (moves tend to reverse). Values near 0.5 indicate a neutral, random-walk-like regime. Volatility (σ) — the average size of price swings at your chart’s timeframe, optionally annualized. Rising volatility means larger price moves, falling volatility means smaller moves. Fit residual — how well the observed multi-scale volatility fits a clean power-law line. Low residual = stable behaviour; high residual = structural change (possible regime shift).
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Faduzzle tarafından
WaveTrend MultiEMAThis is a modification of LazyBear's WaveTrend. The SMA trend has been removed and a shorter time frame EMA has been added in black. The idea is to buy when the shorter time frame starts to curl up and the longer time frame, green, has started to either flatten out or curl up too. Sell when the shorter time frame has started down and green has either flattened or bottomed out as well. The black line will generate some noise so the key is to use the two in combination. My final goal would be to have the green line looking at daily candles and the black line looking at a 2 or 4 hour candle, but I haven't figured out how to do that.
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ktl043 tarafından
2
Waves of Wealth Pair Trading RatioThis versatile indicator dynamically plots the ratio between two user-selected instruments, helping traders visualize relative performance and detect potential mean-reversion or trend continuation opportunities. Features include: User inputs for selecting any two instrument symbols for comparison. Adjustable moving average period to track the average ratio over time. Customizable standard deviation multiplier to define statistical bands for overbought and oversold conditions. Visual display of the ratio line alongside upper and lower bands for clear trading signals. Ideal for pair traders and market analysts seeking a flexible tool to monitor inter-asset relationships and exploit deviations from historical norms. Simply set your preferred symbols and parameters to tailor the indicator to your trading style and assets of interest. How to Use the Custom Pair Trading Ratio Indicator Select symbols: Use the indicator inputs to set any two instruments you want to compare—stocks, commodities, ETFs, or indices. No coding needed, just type or select from the dropdown. Adjust parameters: Customize the moving average length to suit your trading timeframe and style. The standard deviation multiplier lets you control sensitivity—higher values mean wider bands, capturing only larger deviations. Interpret the chart: The ratio line shows relative strength between the two instruments. The middle line represents the average ratio (mean). The upper and lower bands indicate statistical extremes where price action is usually overextended. Trading signals: Look to enter pair trades when the ratio moves outside the bands—expecting a return to the mean. Use the bands and mean to set stop-loss and profit targets. Combine with other analysis or fundamental insight for best results.
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Dev9939 tarafından
ten2 Cipher v.1Created and built by ten2crypto This is not just another "Market Cipher" clone. This is my personal, ground-up build of a comprehensive momentum and divergence toolkit, designed to provide a deeper, more nuanced view of the market. The ten2 Cipher Divergence Engine combines the best aspects of classic momentum oscillators with a powerful, multi-layered divergence system. This indicator was built for my own trading and is now being shared with the community.
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ten2crypto tarafından
1
Smoothed Basis Overview and Purpose The script calculates a smoothed mid-range basis between the highest and lowest prices over a specified period, then applies a smoothing function (smoothed moving average) to show the trend direction or momentum in a less noisy way. The area between the basis and its smoothed value is color-filled to visually highlight when the basis is above or below the smoothed average, signaling potentially bullish or bearish momentum. Indicator Setup length = Period length for calculating the highest and lowest values. signal = Smoothing period used to smooth the basis. offset =Optional horizontal shift to the plots (default 0). Core Calculations lower = Finds the lowest low over the past length bars. upper = Finds the highest high over the past length bars. basis = Calculates the midpoint between the highest and lowest. Smoothing Calculation (Smoothed Moving Average - SMMA) Declares smma as 0.0 initially. If the previous smma value is not available (like on the first bar), initializes with a simple moving average of basis over signal bars. Else applies formula which gives a smoother version of basis which reacts less to sudden changes. Plotting and Color Fill Plots the raw basis line and smoothed basis line . Fills the area between the basis and smoothed basis lines: Greenish fill if the basis is above the smoothed value (potentially bullish). Reddish fill if the basis is below the smoothed value (potentially bearish). Interpretation and Use The indicator visually shows where price ranges are shifting by tracking the midpoint between recent highs and lows. The smoothed basis serves as a trend or momentum filter by dampening noise in the basis line. When the basis is above the smoothed line (green fill), it signals upward momentum or strength; below it (red fill) suggests downward momentum or weakness. The length and signal parameters allow tuning for different timeframes or asset volatility. In summary, this code creates a custom smoothed oscillator based on the midpoint range of price extremes, highlighting trend changes via color fills and smoothening price action noise with an SMMA.
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oberez tarafından
Adaptive Gap Bands - DolphinTradeBot1️⃣ Overview Adaptive Gap Bands is a momentum indicator that measures the percentage difference between fast and slow moving averages. This helps identify potential overbought or oversold zones. The goal is to analyze “gap” behaviors within a trend and generate clearer entry–exit signals. Since the bands are anchored to the slow moving average, they are more sensitive to the trend direction, making signals stronger in line with the prevailing trend. 📌 Signals do not repaint — once confirmed, they remain fixed on the chart. 2️⃣ How It Works ? The indicator tracks the distance between fast and slow MAs. The indicator measures the percentage gap between the fast and slow moving averages, relative to the slow MA. Each time the gap reaches a new extreme during a swing, that value is stored. When the averages cross, the stored values from the last N swings (defined by Swing Count) are collected. These gap values are then averaged to create a smoother and more adaptive reference. The bands are built by multiplying this average gap with the % Multiplier and projecting it around the slow MA. 3️⃣ How to Use It ? Add the script to your chart. Green label → potential Long signal. Red label → potential Short signal. Signals often appear when price moves outside the adaptive bands, showing extreme momentum. Can also be used as a reference tool in manual trades to set profit/loss expectations. By comparing upward vs. downward gaps, it can help analyze and confirm the dominant trend direction. 4️⃣⚙️ Settings Swing Count → Number of past swings considered. % Multiplier → Adjusts band width (narrower or wider). MA Lengths & Types → Choose fast and slow moving averages (EMA, SMA, RMA, etc.).
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DolphinTradeBot tarafından