Empiece

No-repaint

Trend Strength Meter [AGPro Series]Trend Strength Meter ⚡ OVERVIEW Trend Strength Meter is a multi-factor composite oscillator that quantifies how strong a directional trend actually is, on a single 0-to-100 score. It merges five independent trend dimensions (ADX, slope angle, momentum ROC, moving-average alignment, and pullback depth) into one weighted reading, then classifies the market into three clear states: Strong Trend (80+), Mild Trend (50-80), and Weak / Range (<50). The goal is to give a trader the answer to one of the most common daily questions in technical analysis: "Is the trend strong enough to act on right now, or is it fading?" The indicator is built for discretionary and systematic traders who want a single, normalized number instead of reading half a dozen separate trend tools. It is scale-invariant (ATR-normalized) and works across timeframes and instruments. 🎯 UNIQUE EDGE Trend-strength tools usually give a single-factor reading (for example, ADX alone) which can be misleading. ADX can be high during range contractions, slopes can spike during noise, MA stacks can be aligned while price sits deep in pullback. This indicator fuses all five dimensions so that no single factor can dominate the score without confirmation from the others. Three design choices set it apart: 1. Weighted multi-factor composite. Every factor is independently normalized to 0-100, then combined with user-adjustable weights that auto-normalize. A Strong reading therefore requires broad agreement across independent trend dimensions, not just one signal firing. 2. Dominant Factor readout. The information panel shows which of the five factors is contributing most to the current score, so the trader understands why the score is where it is. A score of 84 driven by ADX and a score of 84 driven by Alignment are structurally different markets, and the readout makes that visible. 3. Historical context built in. The panel exposes Historical Max Score over a configurable lookback window, and Strong-Trend Duration (how many bars the score has held above the Strong threshold). Both of these help gauge trend maturity and exhaustion risk. 📊 METHODOLOGY The composite score is built from five independently scored factors, each normalized to 0-100: • Factor 1 — ADX. Directional movement strength from the standard DMI/ADX system, linearly mapped so that ADX = 60 maps to a score of 100. • Factor 2 — Slope Angle. The slope of an EMA over its length window, normalized by ATR to be scale-invariant, then converted to a 0-100 score via an arctangent curve. High slope in either direction yields a high score. • Factor 3 — Momentum ROC. Rate of Change normalized by ATR and converted to a bounded 0-100 value. Captures impulse magnitude independent of price scale. • Factor 4 — MA Alignment. Stacked EMA alignment across Fast / Mid / Slow timeframes, plus price position relative to the fast MA. Full bullish or bearish stack yields 100; partial stacks are scored proportionally (70, 40, or 15). • Factor 5 — Pullback Depth. Distance from the nearest recent extreme (highest high or lowest low over lookback) measured in ATR units. Shallow pullback = strong trend = high score. Each factor is multiplied by its weight, summed, and divided by total weight to produce the final 0-100 score. All five weights are independently adjustable and auto-normalize, so changing one weight does not force manual rebalancing of the others. Directional bias (Bull / Bear / Range) is determined by the combination of DMI crossover state and close-vs-mid-MA position. State color shifts between strong bull green, strong bear magenta, neutral yellow, and weak gray based on score plus direction. 🔥 VISUAL SYSTEM Six coordinated visual elements deliver the information without clutter: • Score histogram on the sub-panel, colored per bar by that bar's own score level (green for Strong, yellow for Mild, gray for Weak / Range). Each historical bar shows its true state at the time, not the current state. • Horizontal reference lines at the Strong (green) and Mild (yellow) thresholds on the sub-panel. • Historical Max step line in indigo accent, showing the highest score reached within the lookback window, so past trend peaks are immediately visible. • Mini Gauge on the right edge of the sub-panel. A compact vertical meter split into two halves: left half shows the fixed 0-100 zone reference (Weak / Mild / Strong), right half fills up to the current score, with a bold needle line marking the exact level. • Price badge floating above the last candle, showing "TSM " so the reading is visible without needing to look at the panel. • Information panel on the price chart with seven rows: Score, State, Direction, Dominant Factor, Historical Max, and Strong Bars duration. 🧭 SIGNALS AND ALERTS Three built-in alerts: • Strong Bull Entry — Score crosses above the Strong threshold while directional bias is Bull. • Strong Bear Entry — Score crosses above the Strong threshold while directional bias is Bear. • Trend Fade — Score drops below the Mild threshold, indicating the trend is weakening. All alerts fire once per bar close, so there is no intra-bar repainting. 🧮 KEY INPUTS Core Settings • ADX Length, Slope MA Length, Momentum ROC Length, MA Alignment Fast / Mid / Slow, Pullback ATR Length • Score Smoothing (EMA applied to score for optional overlay line) • Strong Threshold (default 80), Mild Threshold (default 50), Historical Lookback (default 100 bars) Factor Weights (auto-normalized) • ADX 30, Slope 20, Momentum 20, Alignment 20, Pullback 10 Visual • Badge toggle, Background tint toggle, Reference lines toggle, Mini Gauge toggle, Historical Max line toggle, Smoothed Score line toggle, Label size, Badge ATR offset Panel • Show / hide, Position (6 anchors), Theme (Dark / Light), Font size 📈 HOW TO USE 1. Add the indicator to any chart and any timeframe. Defaults are calibrated for 4H / Daily; for lower timeframes consider reducing the ADX and ROC lengths. 2. Use the 0-100 score as a regime filter. Many trend-following setups perform better when the score is above 50, and breakout / continuation setups perform best when the score is crossing above 80 with a clear Bull or Bear direction. 3. Watch the Dominant Factor. A score of 85 driven primarily by Momentum may fade fast; the same score driven by Alignment tends to be more structural. 4. Use Historical Max and Strong Bars to gauge maturity. A Strong-Bars reading of 30+ on a daily chart often signals late-cycle conditions where continuation risk increases and fresh entries need tighter risk management. 5. Combine with structure tools (support / resistance, order blocks, market-structure tools) for entries. This indicator is designed to answer "how strong is the trend," not "where do I enter." ⚠️ LIMITATIONS AND TRANSPARENCY • This is an indicator, not a trading strategy. It does not produce buy / sell recommendations and it does not backtest trade outcomes. • The score is a lagging composite built from historical price data. It does not predict future price movement. • During sharp regime transitions (news events, gap opens), the score can change rapidly from one bar to the next. This is by design, not a bug. • Factor weights are user-adjustable. Defaults are a reasonable starting point but may need tuning per instrument / timeframe. • The Pullback factor assumes trending behavior. In tight consolidations it can read misleadingly high, which is why the Dominant Factor readout exists as a cross-check. • No-repaint: all calculations are based on confirmed (closed) bar data; alerts fire on bar close only. 📌 RISK DISCLOSURE Trading carries substantial risk. This indicator is an analytical tool for research and study purposes and does not constitute financial advice, a trading signal, or a recommendation to buy or sell any instrument. Past behavior of any indicator is not indicative of future results. Users are solely responsible for their trading decisions and should conduct their own due diligence and risk management.
Indicador Pine Script®
por AGProLabs
Golden Ratio Levels: Static Range Anchor核心功能 本指标基于指定历史区间（可偏移）的最高点和最低点，在图表右侧绘制静态的黄金分割支撑/阻力位。所有数值仅在最后一根K线确定，永不重绘，信号稳定可靠。 特点与优势 ✅ 不重绘：只在图表最新K线计算一次，避免未来函数影响，适合交易决策。 ✅ 偏移周期：可跳过最近若干K线，剔除未完成K线或短期噪声，使区间更具代表性。 ✅ 视觉清晰：不同颜色和线型区分各分割位（23.6%、38.2%、50%、61.8%、80.9%），右侧标签显示百分比和精确价格。 ✅ 起点修正：垂直线和“起点”标签精确对齐计算区间的第一根K线，无视觉偏移。 ✅ 内存优化：自动清理旧图形，保持图表简洁。 参数说明 统计周期：用于寻找高点和低点的K线数量。 偏移周期：将计算窗口向后移动的K线数（从当前K线往前推）。 显示比例标签：控制右侧百分比标签的显隐。 适用场景 识别趋势中的回调支撑（上涨后回调至38.2%、50%、61.8%） 判断反弹阻力（下跌后反弹至上述位置） 结合K线形态、成交量或其他指标提高胜率 注意事项 本指标为静态工具，只在最新K线显示当前周期的分割线，切换K线或滚动历史时旧线不保留。 黄金分割位是概率性位置，需配合市场确认信号使用。 Core Function This indicator calculates static Fibonacci retracement levels based on the highest and lowest points of a user-defined historical range (with an optional offset). Values are anchored only on the last bar, ensuring no repainting for reliable signals. Features & Benefits ✅ No Repaint: Calculated once on the latest bar, eliminating future data bias. ✅ Offset Parameter: Skip recent bars to avoid incomplete candles or short-term noise. ✅ Clear Visualization: Distinct colors and line styles for each level (23.6%, 38.2%, 50%, 61.8%, 80.9%), with right-side labels showing percentages and exact prices. ✅ Accurate Start Point: The vertical dotted line and "Anchor Point" label exactly mark the first bar of the calculation window. ✅ Memory Efficient: Old drawings are automatically deleted to keep charts tidy. Input Parameters Lookback Period: Number of bars to search for high/low values. Offset Bars: Shift the calculation window backward from the current bar. Display Labels: Toggle percentage labels on/off. Use Cases Identify pullback supports in uptrends (38.2%, 50%, 61.8%) Spot rebound resistances in downtrends Combine with candlestick patterns, volume, or other indicators for higher accuracy Note This is a static tool; levels are shown only for the current period on the last bar. Historical periods are not retained when scrolling. Fibonacci levels are probabilistic—always confirm with market context.
Indicador Pine Script®
por william_wq
2
Bar-Close Confirmed SupertrendOverview This indicator is a Supertrend-style trend follower that confirms direction changes only after a bar closes. Trend flips are determined using the previous bar’s close relative to the bands, which helps avoid intrabar changes during live candles. How it works Computes ATR (Average True Range) Builds upper/lower bands using ATR and a multiplier Updates trend direction only when a prior candle confirms a break of the band Confirmation logic (bar-close based) Trend direction is updated using conditions based on the previous candle, such as: close > upper → confirm uptrend close < lower → confirm downtrend Because signals are confirmed on the prior bar, trend changes and markers are displayed only when confirmation exists. Signals Uptrend confirmation: prior candle closes above the upper band → bullish marker Downtrend confirmation: prior candle closes below the lower band → bearish marker Inputs ATR Length (default 10) ATR Multiplier (default 3.0) Notes This script is intended for bar-close workflows. Behavior and responsiveness may differ across markets and timeframes depending on volatility and chosen settings.
Estrategia Pine Script®
por AIScripts
Fusion MFI RSIHello fellas, This superb indicator summons two monsters called Relative Strength Index (RSI) and Money Flow Index (MFI) and plays the Yu-Gi-Oh! card "Polymerization" to combine them. Overview The Fusion MFI RSI Indicator is an advanced analytical tool designed to provide a nuanced understanding of market dynamics by combining the Relative Strength Index (RSI) and the Money Flow Index (MFI). Enhanced with sophisticated smoothing techniques and the Inverse Fisher Transform (IFT), this indicator excels in identifying key market conditions such as overbought and oversold states, trends, and potential reversal points. Key Features (Brief Overview) Fusion of RSI and MFI: Integrates momentum and volume for a comprehensive market analysis. Advanced Smoothing Techniques: Employs Hann Window, Jurik Moving Average (JMA), T3 Smoothing, and Super Smoother to refine signals. Inverse Fisher Transform (IFT) Enhances the clarity and distinctiveness of indicator outputs. Detailed Feature Analysis Fusion of RSI and MFI RSI (Relative Strength Index): Developed by J. Welles Wilder Jr., the RSI measures the speed and magnitude of directional price movements. Wilder recommended using a 14-day period and identified overbought conditions above 70 and oversold conditions below 30. MFI (Money Flow Index): Created by Gene Quong and Avrum Soudack, the MFI combines price and volume to measure trading pressure. It is typically calculated using a 14-day period, with over 80 considered overbought and under 20 as oversold. Application in Fusion: By combining RSI and MFI, the indicator leverages RSI's sensitivity to price changes with MFI's volume-weighted confirmation, providing a robust analysis tool. This combination is particularly effective in confirming the strength behind price movements, making the signals more reliable. Advanced Smoothing Techniques Hann Window: Traditionally used to reduce the abrupt data discontinuities at the edges of a sample, it is applied here to smooth the price data. Jurik Moving Average (JMA): Known for preserving the timing and smoothness of the data, JMA reduces market noise effectively without significant lag. T3 Smoothing: Developed to respond quickly to market changes, T3 provides a smoother response to price fluctuations. Super Smoother: Filters out high-frequency noise while retaining important trends. Application in Fusion: These techniques are chosen to refine the output of the combined RSI and MFI values, ensuring the indicator remains responsive yet stable, providing clearer and more actionable signals. Inverse Fisher Transform (IFT): Developed by John Ehlers, the IFT transforms oscillator outputs to enhance the clarity of extreme values. This is particularly useful in this fusion indicator to make critical turning points more distinct and actionable. Mathematical Calculations for the Fusion MFI RSI Indicator RSI (Relative Strength Index) The RSI is calculated using the following steps: Average Gain and Average Loss: First, determine the average gain and average loss over the specified period (typically 14 days). This is done by summing all the gains and losses over the period and then dividing each by the period. Average Gain = (Sum of Gains over the past 14 periods) / 14 Average Loss = (Sum of Losses over the past 14 periods) / 14 Relative Strength (RS): This is the ratio of average gain to average loss. RS = Average Gain / Average Loss RSI: Finally, the RSI is calculated using the RS value: RSI = 100 - (100 / (1 + RS)) MFI (Money Flow Index) The MFI is calculated using several steps that incorporate both price and volume: Typical Price: Calculate the typical price for each period. Typical Price = (High + Low + Close) / 3 Raw Money Flow: Multiply the typical price by the volume for the period. Raw Money Flow = Typical Price * Volume Positive and Negative Money Flow: Compare the typical price of the current period to the previous period to determine if the money flow is positive or negative. If today's Typical Price > Yesterday's Typical Price, then Positive Money Flow = Raw Money Flow; Negative Money Flow = 0 If today's Typical Price < Yesterday's Typical Price, then Negative Money Flow = Raw Money Flow; Positive Money Flow = 0 Money Flow Ratio: Calculate the ratio of the sum of Positive Money Flows to the sum of Negative Money Flows over the past 14 periods. Money Flow Ratio = (Sum of Positive Money Flows over 14 periods) / (Sum of Negative Money Flows over 14 periods) MFI: Finally, calculate the MFI using the Money Flow Ratio. MFI = 100 - (100 / (1 + Money Flow Ratio)) Fusion of RSI and MFI The final Fusion MFI RSI value could be calculated by averaging the IFT-transformed values of RSI and MFI, providing a single oscillator value that reflects both momentum and volume-weighted price action: Fusion MFI RSI = (MFI weight * MFI) + (RSI weight * RSI) Suggested Settings and Trading Rules Original Usage RSI: Wilder suggested buying when the RSI moves above 30 from below (enter long) and selling when the RSI moves below 70 from above (enter short). He recommended exiting long positions when the RSI reaches 70 or higher and exiting short positions when the RSI falls below 30. MFI: Quong and Soudack recommended buying when the MFI is below 20 and starts rising (enter long), and selling when it is above 80 and starts declining (enter short). They suggested exiting long positions when the MFI reaches 80 or higher and exiting short positions when the MFI falls below 20. Fusion Application Settings: Use a 14-day period for this indicator's calculations to maintain consistency with the original settings suggested by the inventors. Trading Rules: Enter Long Signal: Consider entering a long position when both RSI and MFI are below their respective oversold levels and begin to rise. This indicates strong buying pressure supported by both price momentum and volume. Exit Long Signal: Exit the long position when either RSI or MFI reaches its respective overbought threshold, suggesting a potential reversal or decrease in buying pressure. Enter Short Signal: Consider entering a short position when both indicators are above their respective overbought levels and begin to decline, suggesting that selling pressure is mounting. Exit Short Signal: Exit the short position when either RSI or MFI falls below its respective oversold threshold, indicating diminishing selling pressure and a potential upward reversal. How to Use the Indicator Select Source and Timeframe: Choose the data source and the timeframe for analysis. Configure Fusion Settings: Adjust the weights for RSI and MFI. Choose Smoothing Technique: Select and configure the desired smoothing method to suit the market conditions and personal preference. Enable Fisherization: Optionally apply the Inverse Fisher Transform to enhance signal clarity. Customize Visualization: Set up gradient coloring, background plots, and bands according to your preferences. Interpret the Indicator: Use the Fusion value and visual cues to identify market conditions and potential trading opportunities. Conclusion The Fusion MFI RSI Indicator integrates classical and modern technical analysis concepts to provide a comprehensive tool for market analysis. By combining RSI and MFI with advanced smoothing techniques and the Inverse Fisher Transform, this indicator offers enhanced insights, aiding traders in making more informed and timely trading decisions. Customize the settings to align with your trading strategy and leverage this powerful tool to navigate financial markets effectively. Best regards, simwai --- Credits to: @loxx – T3 @everget – JMA @cheatcountry – Hann Window
Indicador Pine Script®
por simwai
3
Wick %Heyo Fellas, thanks for checking out my new indicator. Introduction Wick % is a simple indicator to compare wick size with body size (mode 1) and to compare wick size with candle size (mode 2). Upper wicks are bullish when close is higher than open pricen. Lower wicks are bearish when close is lower than open price. Wick Theory In general, big wick and small bodie on a bar means that bull and bears are fighting heavily. A big wick below the body means the bulls are leading in that fight, and a big wick above the body means the bears are leading in that fight. Calculation Formula Mode 1 – Percentual Increase Wick/Body: upperWickPercentage = (upperWick / body) * 100 - 100 lowerWickPercentage = (lowerWick / body) * 100 - 100 Mode 2 – Percent Wick/Candlestick: upperWickPercentage = (upperWick / (high - low)) * 100 lowerWickPercentage = (lowerWick / (high - low)) * 100 Usage You can use it on every symbol and every timeframe. The indicator repaints by default, but you can disable it in the settings. When you disable repaint, it moves the label one bar to the right. If you want to use the indicator for signals, you must disable repainting. Best regards, simwai
Indicador Pine Script®
por simwai
4
Octopus Nest Strategy Hello Fellas, Hereby, I come up with a popular strategy from YouTube called Octopus Nest Strategy. It is a no repaint, lower timeframe scalping strategy utilizing PSAR, EMA and TTM Squeeze. The strategy considers these market factors: PSAR -> Trend EMA -> Trend TTM Squeeze -> Momentum and Volatility by incorporating Bollinger Bands and Keltner Channels Note: As you can see there is a potential improvement by incorporating volume. What's Different Compared To The Original Strategy? I added an option which allows users to use the Adaptive PSAR of @loxx, which will hopefully improve results sometimes. Signals Enter Long -> source above EMA 100, source crosses above PSAR and TTM Squeeze crosses above 0 Enter Short -> source below EMA 100, source crosses below PSAR and TTM Squeeze crosses below 0 Exit Long and Exit Short are triggered from the risk management. Thus, it will just exit on SL or TP. Risk Management "High Low Stop Loss" and "Automatic High Low Take Profit" are used here. High Low Stop Loss: Utilizes the last high for short and the last low for long to calculate the stop loss level. The last high or low gets multiplied by the user-defined multiplicator and if no recent high or low was found it uses the backup multiplier. Automatic High Low Take Profit: Utilizes the current stop loss level of "High Low Stop Loss" and gets calculated by the user-defined risk ratio. Now, follows the bunch of knowledge for the more inexperienced readers. PSAR: Parabolic Stop And Reverse; Developed by J. Welles Wilders and a classic trend reversal indicator. The indicator works most effectively in trending markets where large price moves allow traders to capture significant gains. When a security’s price is range-bound, the indicator will constantly be reversing, resulting in multiple low-profit or losing trades. TTM Squeeze: TTM Squeeze is a volatility and momentum indicator introduced by John Carter of Trade the Markets (now Simpler Trading), which capitalizes on the tendency for price to break out strongly after consolidating in a tight trading range. The volatility component of the TTM Squeeze indicator measures price compression using Bollinger Bands and Keltner Channels. If the Bollinger Bands are completely enclosed within the Keltner Channels, that indicates a period of very low volatility. This state is known as the squeeze. When the Bollinger Bands expand and move back outside of the Keltner Channel, the squeeze is said to have “fired”: volatility increases and prices are likely to break out of that tight trading range in one direction or the other. The on/off state of the squeeze is shown with small dots on the zero line of the indicator: red dots indicate the squeeze is on, and green dots indicate the squeeze is off. EMA: Exponential Moving Average; Like a simple moving average, but with exponential weighting of the input data. Don't forget to check out the settings and keep it up. Best regards, simwai --- Credits to: @loxx @Bjorgum @Greeny
Estrategia Pine Script®
por simwai
15
Ehlers Combo Strategy🚀 Presenting the Enhanced Ehlers Combo Strategy 🚀 Hello Traders! 👋 I'm thrilled to share the latest version of the Ehlers Combo Strategy v2.0. This powerful algorithm combines Ehlers Elegant Oscillator, Decycler, Instantaneous Trendline, Spearman Rank, and introduces the Signal to Noise Ratio for even more precise trading signals. 📊 Strategy Highlights: Ehlers Elegant Oscillator: Captures market momentum and turning points. Ehlers Decycler: Filters out market noise for clearer trend signals. Instantaneous Trendline: Offers a dynamic view of the market trend. Spearman Rank: Analyzes market rank correlations for enhanced insights. Signal to Noise Ratio (SNR): Filters out noise for more accurate signals. 💡 Key Features & Customizations: Adaptive Length: Enable adaptive length based on the market's current conditions. SNR Threshold: Set your desired SNR threshold for filtering signals. Exit Length: Define the length for exit signals. 📈 Trading Signals: Long Entry: Elegant Oscillator and Decycler cross above 0, source crosses above Decycler, source is greater than an increasing Instantaneous Trendline, Spearman Rank is positive, and SNR exceeds the threshold. Long Exit: Source crosses below the Instantaneous Trendline after entering a long position. Short Entry: Elegant Oscillator and Decycler cross below 0, source crosses below Decycler, source is less than a decreasing Instantaneous Trendline, Spearman Rank is negative, and SNR exceeds the threshold. Short Exit: Source crosses above the Instantaneous Trendline after entering a short position. 📊 Insights & Enhancements: Dynamic Length: The strategy adapts its length dynamically based on market conditions. Improved SNR: Signal to Noise Ratio ensures better filtering of signals. Enhanced Visualization: The Elegant Oscillator now features improved color coding for a clearer interpretation. 🚨 Disclaimer: Trading involves risk, and this script should be used judiciously. It's not a guaranteed profit machine, but with careful use, it can be a valuable addition to your toolkit. Feel free to backtest, tweak, and make it your own! Let's conquer the markets together! 💪📈 🚀✨ Happy Trading! ✨🚀 --- 🙌 Credits: A big shoutout to the original contributors: @blackcat1402 @cheatcountry @DasanC
Estrategia Pine Script®
por simwai
4
Normalized Fisher Transformed VolumeGreetings Traders, I am thrilled to introduce a game-changing tool that I've passionately developed to enhance your trading precision – the Normalized Fisher Transformed Volume indicator. Let's dive into the specifics and explore how this tool can empower you in the markets. Unlocking Trading Precision: Normalization and Transformation: Normalize raw volume data to ensure a consistent scale for analysis. The Fisher Transformation converts normalized volume data into a Gaussian distribution, providing enhanced insights into trend dynamics. Flexible Modes for Tailored Strategies: Choose from three distinct modes: Volume T3 (MA) + Heatmap: Identify trends with T3 Moving Average and visualize volume strength with Heatmap. Volume Percent Rank: Evaluate the position of current volume relative to historical data. Volume T3 (MA) Percent Rank: Combine T3 Moving Average with percentile ranking for a comprehensive analysis. Heatmap Visualization for Quick Insights: Heatmap Zones and Lines visually represent volume strength relative to historical data. Customize threshold multipliers and color options for precise Heatmap interpretation. T3 Moving Average Integration: Smoothed representation of volume trends with the T3 Moving Average enhances trend identification. Percent Rank Analysis for Context: Gauge the position of normalized volume within historical context using Percent Rank analysis. User-Friendly Customization: Easily adjust parameters such as length, T3 Moving Average length, Heatmap standard deviation length, and threshold multipliers. Intuitive interface with colored bars and customizable background options for personalized analysis. How to Use Effectively: Mode Selection: Identify your preferred trading strategy and select the mode that aligns with your approach. Parameter Adjustment: Fine-tune the indicator by adjusting parameters to match your preferred trading style. Interpret Heatmap and T3 Analysis: Leverage Heatmap and T3 Moving Average analysis to spot potential trend reversals, overbought/oversold conditions, and market sentiment shifts. Conclusion: The Normalized Fisher Transformed Volume indicator is not just a tool; it's your key to unlocking precision in trading. Crafted by Simwai, this indicator offers unique insights tailored to your specific trading needs. Dive in, explore its features, experiment with parameters, and let it guide you to more informed and precise trading decisions. Trade wisely and prosper, simwai
Indicador Pine Script®
por simwai
4
Smoothing R-Squared ComparisonIntroduction Heyo guys, here I made a comparison between my favorised smoothing algorithms. I chose the R-Squared value as rating factor to accomplish the comparison. The indicator is non-repainting. Description In technical analysis, traders often use moving averages to smooth out the noise in price data and identify trends. While moving averages are a useful tool, they can also obscure important information about the underlying relationship between the price and the smoothed price. One way to evaluate this relationship is by calculating the R-squared value, which represents the proportion of the variance in the price that can be explained by the smoothed price in a linear regression model. This PineScript code implements a smoothing R-squared comparison indicator. It provides a comparison of different smoothing techniques such as Kalman filter, T3, JMA, EMA, SMA, Super Smoother and some special combinations of them. The Kalman filter is a mathematical algorithm that uses a series of measurements observed over time, containing statistical noise and other inaccuracies, and produces estimates of unknown variables that tend to be more accurate than those based on a single measurement. The input parameters for the Kalman filter include the process noise covariance and the measurement noise covariance, which help to adjust the sensitivity of the filter to changes in the input data. The T3 smoothing technique is a popular method used in technical analysis to remove noise from a signal. The input parameters for the T3 smoothing method include the length of the window used for smoothing, the type of smoothing used (Normal or New), and the smoothing factor used to adjust the sensitivity to changes in the input data. The JMA smoothing technique is another popular method used in technical analysis to remove noise from a signal. The input parameters for the JMA smoothing method include the length of the window used for smoothing, the phase used to shift the input data before applying the smoothing algorithm, and the power used to adjust the sensitivity of the JMA to changes in the input data. The EMA and SMA techniques are also popular methods used in technical analysis to remove noise from a signal. The input parameters for the EMA and SMA techniques include the length of the window used for smoothing. The indicator displays a comparison of the R-squared values for each smoothing technique, which provides an indication of how well the technique is fitting the data. Higher R-squared values indicate a better fit. By adjusting the input parameters for each smoothing technique, the user can compare the effectiveness of different techniques in removing noise from the input data. Usage You can use it to find the best fitting smoothing method for the timeframe you usually use. Just apply it on your preferred timeframe and look for the highlighted table cell. Conclusion It seems like the T3 works best on timeframes under 4H. There's where I am active, so I will use this one more in the future. Thank you for checking this out. Enjoy your day and leave me a like or comment. 🧙‍♂️ --- Credits to: ▪@loxx – T3 ▪@balipour – Super Smoother ▪ChatGPT – Wrote 80 % of this article and helped with the research
Indicador Pine Script®
por simwai
1
Adaptive Fusion ADX VortexIntroduction The Adaptive Fusion ADX DI Vortex Indicator is a powerful tool designed to help traders identify trend strength and potential trend reversals in the market. This indicator uses a combination of technical analysis (TA) and mathematical concepts to provide accurate and reliable signals. Features The Adaptive Fusion ADX DI Vortex Indicator has several features that make it a powerful tool for traders. The Fusion Mode combines the Vortex Indicator and the ADX DI indicator to provide a more accurate picture of the market. The Hurst Exponent Filter helps to filter out choppy markets (inspired by balipour). Additionally, the indicator can be customized with various inputs and settings to suit individual trading strategies. Signals The enterLong signal is generated when the algorithm detects that it's a good time to buy a stock or other asset. This signal is based on certain conditions such as the values of technical indicators like ADX, Vortex, and Fusion. For example, if the ADX value is above a certain threshold and there is a crossover between the plus and minus lines of the ADX indicator, then the algorithm will generate an enterLong signal. Similarly, the enterShort signal is generated when the algorithm detects that it's a good time to sell a stock or other asset. This signal is also based on certain conditions such as the values of technical indicators like ADX, Vortex, and Fusion. For example, if the ADX value is above a certain threshold and there is a crossunder between the plus and minus lines of the ADX indicator, then the algorithm will generate an enterShort signal. The exitLong and exitShort signals are generated when the algorithm detects that it's a good time to close a long or short position, respectively. These signals are also based on certain conditions such as the values of technical indicators like ADX, Vortex, and Fusion. For example, if the ADX value crosses above a certain threshold or there is a crossover between the minus and plus lines of the ADX indicator, then the algorithm will generate an exitLong signal. Usage Traders can use this indicator in a variety of ways, depending on their trading strategy and style. Short-term traders may use it to identify short-term trends and potential trade opportunities, while long-term traders may use it to identify long-term trends and potential investment opportunities. The indicator can also be used to confirm other technical indicators or trading signals. Personally, I prefer to use it for short-term trades. Strengths One of the strengths of the Adaptive Fusion ADX DI Vortex Indicator is its accuracy and reliability. The indicator uses a combination of TA and mathematical concepts to provide accurate and reliable signals, helping traders make informed trading decisions. It is also versatile and can be used in a variety of trading strategies. Weaknesses While this indicator has many strengths, it also has some weaknesses. One of the weaknesses is that it can generate false signals in choppy or sideways markets. Additionally, the indicator may lag behind the market, making it less effective in fast-moving markets. That's a reason why I included the Hurst Exponent Filter and special smoothing. Concepts The Adaptive ADX DI Vortex Indicator with Fusion Mode and Hurst Filter is based on several key concepts. The Average Directional Index (ADX) is used to measure trend strength, while the Vortex Indicator is used to identify trend reversals. The Hurst Exponent is used to filter out noise and provide a more accurate picture of the market. In conclusion, the Adaptive Fusion ADX DI Vortex Indicator is a versatile and powerful tool for traders. By combining technical analysis and mathematical concepts, this indicator provides accurate and reliable signals for identifying trend strength and potential trend reversals. While it has some weaknesses, its many strengths and features make it a valuable addition to any trader's toolbox. --- Credits to: ▪️@cheatcountry – Hann Window Smoohing ▪️@loxx – VHF and T3 ▪️@balipour – Hurst Exponent Filter
Indicador Pine Script®
por simwai
5
VHF Adaptive Linear Regression KAMAIntroduction Heyo, in this indicator I decided to add VHF adaptivness, linear regression and smoothing to a KAMA in order to squeeze all out of it. KAMA: Developed by Perry Kaufman, Kaufman's Adaptive Moving Average (KAMA) is a moving average designed to account for market noise or volatility. KAMA will closely follow prices when the price swings are relatively small and the noise is low. KAMA will adjust when the price swings widen and follow prices from a greater distance. This trend-following indicator can be used to identify the overall trend, time turning points and filter price movements. VHF: Vertical Horizontal Filter (VHF) was created by Adam White to identify trending and ranging markets. VHF measures the level of trend activity, similar to ADX DI. Vertical Horizontal Filter does not, itself, generate trading signals, but determines whether signals are taken from trend or momentum indicators. Using this trend information, one is then able to derive an average cycle length. Linear Regression Curve: A line that best fits the prices specified over a user-defined time period. This is very good to eliminate bad crosses of KAMA and the pric. Usage You can use this indicator on every timeframe I think. I mostly tested it on 1 min, 5 min and 15 min. Signals Enter Long -> crossover(close, kama) and crossover(kama, kama ) Enter Short -> crossunder(close, kama) and crossunder(kama, kama ) Thanks for checking this out! -- Credits to ▪️@cheatcountry – Hann Window Smoohing ▪️@loxx – VHF and T3 ▪️@LucF – Gradient
Indicador Pine Script®
por simwai
Adaptive Fisherized CMOIntroduction Heyo, here is another no-repaint adaptive fisherized indicator. I added Inverse Fisher Transform, Ehlers dominant cycle analysis and smoothing to the Chande Momentum Oscillator (CMO). Usage The CMO is a momentum oscillator which shows the usual movement of an asset. I recommend to use it from a lower timeframe with a higher timeframe set. Signals (Signal mode will come soon.) Zero Line CMO crosses above zero line => enter long CMO cross below zero line => ente short Overbought/Oversold CMO crosses above bottom band => enter long CMO crosses under top band => enter short MA (Maybe this signals will vary. Then, check update notes.) CMO crosses above MA => enter long CMO crosses below MA => enter short Enjoy and share your experience with it! More to read: CMO Explanationsp
Indicador Pine Script®
por simwai
Chandelier Exit ZLSMA StrategyIntroduction Heyo guys, I recently checked out some eye-catching trading strategy videos on YT and found one to test. This indicator is based on the video. Usage The recommended timeframe is 5 min. Signals Long Entry => L Label Price crosses above ZLSMA and Chandelier Exit shows Buy Long Exit => green circle Price crosses below ZLSMA Short Entry => S Label Price crosses below ZLSMA and Chandelier Exit shows Sell Short Exit => orange circle Prices crosses above ZLSMA Ty for checking this out. Enjoy! -- Credits to @netweaver2011 - ZLSMA @everget – Chandelier Exit
Indicador Pine Script®
por simwai
19
Adaptive Fisherized Trend Intensity Index Introduction Here, I modified the script "Trend Intensity Index" (TII) of @everyget. TTI was developed by M.H. Pee, who also published other trend analysis indicators like the Trend Trigger/Continuation Factor It helps to determine how strong the current trend is. The stronger the trend, the higher the chance the price may continue moving in the current direction. Features Adaptive mode (based on Ehlers dominant cycle determination) => automatically determines the length Inverse Fisher Transform => gives sharper signals Customizable MA Types => discover the impact of different ma bases Hann Window and NET smoothing => state-of-the-art smoothing Trend Visualization => shows you the up/down/side trend Usage This indicator here offers a perfect trend filtering system. It is capable of up/down/side trend detection. There are a lot of trend indicators which don't respect sidetrends, which makes this indicator pretty useful. A lot of traders use trend-following trading systems. A trader will usually make his/her entry in the market during a strong trend and ride it, until the TII provides an indication of a reversal. For mean-revertive trading systems, you could use TII to just trade in side trend. A lot of mean-revertive signal emitters like Bollinger Bands or RSI work most of the times better in side trend. Furthermore, every timeframe could be used, but higher timeframes have more impact because trends are stronger there. Signals Green zone (Top) => Etablished bullish trend "Peachy" Zone (Middle) => Sidetrend/flat market Red Zone (Bottom) => Etablished bearish trend Enjoy guys! (Let me know your opinions!) -- Credits to: @blackcat1402 @DasanC @cheatcountry @everget
Indicador Pine Script®
por simwai
5
Adaptive VWAP Stdev BandsIntroduction Heyo, here are some adaptive VWAP Standard Deviation Bands with nice colors. I used Ehlers dominant cycle theories and ZLSMA smoothing to create this indicator. You can choose between different algorithms to determine the dominant cycle and this will be used as reset period. Everytime bar_index can be divided through the dominant cycle length and the result is zero VWAP resets if have chosen an adaptive mode in the settings. The other reset event you can use is just a simple time-based event, e.g. reset every day. Usage I think people buy/sell when it reaches extreme zones. Enjoy! --- Credits to: @SandroTurriate - VWAP Stdev Bands @blackcat1402 - Dominant Cycle Analysis @DasanC - Dominant Cycle Analysis @veryfid - ZLSMA (Sry, too lazy for linking) I took parts of their code. Ty guys for your work! Just awesome.
Indicador Pine Script®
por simwai
6
Adaptive Fisherized CMFIntroduction Heyo, here I made a normalized Chaikin Money Flow (CMF) indicator with Inverse Fisher Transform (IFT) and some smoothing techniques. I had to normalize the indicator in order to fit it to the IFT range (-1 -> 1). Moreover, the good old adaptive mode is also included in this indicator. It uses Ehlers superb dominant cycle techniques. It also has divergence detection, several options for individualisation and doesn't repaint. Usage www.investopedia.com Signals CMF above 0 => bullish market CMF below 0 => bearish market (You can also use the inner bands instead of the zero line, to make these signals more precise) Bullish regular/hidden divergence => long Bearish regular/hidden divergence => short Enjoy guys! PS: I really would like to hear some feedback of you.
Indicador Pine Script®
por simwai
Adaptive Fisherized Stochastic Center of GravityIntroduction I modified the script "Fisher Stochastic Center of Gravity" of @DasanC for this indicator. I added inverse Fisher transform, cycle period adaptiveness mode (Ehlers) and smoothing to it. Moreover, I added buy and sell and beautified some stuff. Lastly, it is also non-repainting! Usage This indicator can be used like a normal stochastic, but I don't recommend divergence analysis on it. That fisherization stuff seems to make the graphs unuseable for that because it tries. It works well on every timeframe I would say, but lower timeframes are recommended, because of the fast nature of stochastic. Usually it does a good job on entry confirmation for reversals and trend continuation trades. Recommended indicator to combine with this indicator is RSI cyclic smoothed v2 . This is the best RSI version I know. In trending market it is recommended to look more on the inner bands and in flat market it is recommended to look more on the outer bands. When RSI shows oversold and this indicator shows a crossover of the Center of Gravity plot through the bottom line -> Long entry is confirmed When RSI shows overbought and this indicator shows a crossunder of the Center of Gravity plot through the top line -> Short entry is confirmed Settings The adaptive mode is enabled by default to give you straight the whole indicator experience. The default settings are optimized, but should be changed depending on the market. An example: Market has a low volatility and a high momentum -> I want a slower/higher length to catch the slower new highs and lows. Market has higher volatility and a low momentum, -> I want a faster/lower length to catch the faster new highs and lows Signals Crossover Buy -> cog crossover signalLine Sell -> cog crossunder signalLine Overbought/Oversold Crossover Buy -> cog crossover lowerBand Sell -> cog crossunder lowerBand I use this indicator a lot, because I don't know a better stochastic on this community here. @DasanC did an awesome work with his version I used as base for this script. Enjoy this indicator and let the profit roll! 🔥
Indicador Pine Script®
por simwai
9
Fisherized CCIIntroduction This here is a non-repainting indicator where I use inverse Fisher transformation and smoothing on the well-known CCI (Commdity Channel Index) momentum indicator. "The Inverse Fisher Transform" describes the calculation and use of the inverse Fisher transform by Dr . Ehlers in 2004. The transform is applied to any indicator with a known probability distribution function. It enables to transform an indicator signal into the range between +1 and -1. This can help to eliminate the noise of an indicator. The CCI is an momentum indicator which describes the distance of the price to the average price. For smoothing I used the Hann Window and NET (Noise Elimination Technique) methods. Additional Features Divergence Analysis Trend-adaptive Histogram Timeframe selection Usage It is usually used to spot potential trend reverals or mean-reversion (against the trend) trades on lower timeframes. IMO it can be even used to spot trend-following trades. It always depends on which settings you have, which timeframe do you use and which indicators you combine with it. The suggested timeframe for this indicator is 15 min (with the length setting on 50). The histogram with adaptive mode enabled could be used as filter applied on the buy and sell signals. The divergence analysis can help to spot additional entries/exits or confirm the buy and sell signals. Always try to find the best settings! This indicators has a lot of customization options you should take advantage of. Signals The indicator uses the following logic to generate the buy and sell signals: Normal Buy -> When CCI and MA go above the top band (usually +100) and cross Sell -> When CCI and MA go below the the bottom band (usually -100) and cross Fisherized Buy -> When CCI and MA go above the the zero line and cross Sell -> When CCI and MA go below the the zero line and cross Have fun with the indicator! I am open for feedback and questions. :)
Indicador Pine Script®
por simwai
4
14/28 Day SMA Divergence and RSI - No RepaintIf you are interested in purchasing my algorithmic trading bot that receives Tradingview indicator alerts via email and then executes them in Bittrex, please visit my product page here: ilikestocks.com Additionally, I would love to create video/blog guides on creating Tradingview scripts or strategies. If you are a knowledgeable in finance or other related fields and would like to be featured on my page, please contact me at tanner@ilikestocks.com. No crossovers were used in this script, and this is likely the reason for the no repaint(Correct me if wrong). This strategy script uses a 14-day SMA signal line, a 28-day SMA and RSI. The strategy works by determining whether the (14-day SMA is above the 28-day SMA and the RSI levels are overbought(below 30)) or RSI is very overbought(below 13 or so). Once either of these conditions have been met, a long position is opened. The initial long position must be partially closed by the take profit first and then the final close is executed if the 14-day signal SMA is below the 28-day SMA; you may also exclusively use take profit to close positions. The green plotted spikes are the initial long position conditions. The orange plotted spikes are take profit signals once a long position is opened. The red plotted spikes are plotted when the SMA 14-day is below the 28-day SMA. Please do leave constructive criticism or comments below because it helps me better create scripts!
Estrategia Pine Script®
por tanner314
18