Longterm

Bitcoin Compressing Power Law Channel Bitcoin Compressing Power Law Channel Most Bitcoin power-law channels draw bands of a fixed width around a long-term trendline. This one is different: the channel width is not constant. It starts wide and compresses exponentially as Bitcoin matures, modeling the idea that long-term volatility around the trend tends to shrink over time. That decaying width is the core idea of this indicator. Why a compressing channel A standard power-law channel assumes the spread between its upper and lower bounds stays the same across Bitcoin's entire history. In practice, an asset's relative volatility tends to fall as it grows larger and more liquid. This indicator captures that by letting the channel narrow over time toward a configurable floor, so the bounds reflect a maturing market rather than a permanently fixed range. How it works The model assumes log(price) scales linearly with log(days since the genesis block), producing a fair-value trendline: logFair = intercept + slope * log10(days). A lower bound is offset below that line, and the upper bound is placed above the lower bound at a distance set by the channel width. The width itself is the original part: width = minWidth + startWidth * exp(-decaySpeed * yearsSinceGenesis). Early in Bitcoin's history the exponential term is large and the channel is wide. As years pass, that term shrinks toward zero and the width converges to a minimum floor (minWidth). The result is a channel whose envelope tightens over time instead of staying fixed. What it plots Three lines in price space (upper, middle, lower) with a shaded fill between the upper and lower bounds. Optionally, a 200 SMA of the current timeframe and a 200 SMA from the weekly timeframe, each toggleable. The weekly SMA is requested from a higher timeframe with lookahead disabled, so it does not repaint using future data. A normalized "Decay Channel Oscillator" is exposed in the Data Window, showing where the current close sits within the channel on a 0 to 1 scale (0 = lower bound, 1 = upper bound). Inputs Every model parameter is adjustable: the genesis date, the power-law intercept and slope, the lower offset, the initial and minimum channel widths, and the decay speed that controls how fast the channel compresses. Colors for each line, the fill, and both SMAs are configurable. How to use it Apply it to a Bitcoin chart on a longer timeframe such as Daily or Weekly, where a power-law model is most meaningful. The middle line is the model's central estimate; the upper and lower lines describe the expected long-term range, narrowing as time goes on. The Data Window oscillator lets you read how stretched price is within the channel numerically. Parameters and calibration The default intercept and slope are starting values that approximate Bitcoin's historical power-law fit. They are not fixed truths. You should re-evaluate them and adjust them, along with the offset, widths, and decay speed, to suit your own analysis and the data range you are studying. Different calibrations will move the channel and change how aggressively it compresses. Limitations and cautions This is a model, not a prediction. The power-law relationship is an empirical observation that may break down at any time, and the decay parameters are assumptions, not facts. The compressing width is a hypothesis about volatility maturing over time; it may not hold. This indicator is built for Bitcoin and is not intended for other assets. Nothing here forecasts future prices, and the past behavior of the channel does not guarantee anything about how price will behave going forward. The code is open-source under the Mozilla Public License 2.0. You are welcome to study it and build on it.

Indicator

SPY 200SMA +4% Entry -3% Exit Strategy (QQQ/TQQQ)USE THIS CHART ONLY ON THE SPY DAILY VIEW TLDR Summary of the Improved Strategy: When the price of SPY is +4% above the 200SMA BUY TQQQ and when the price of SPY drops to -3% under the SPY 200SMA SELL and slowly DCA into QQQ over the next 6-12 months or until price returns to +4% above the SPY 200SMA at which point you will go back into 100% TQQQ. Note: (if the price of QQQ goes 30% above the 200SMA of QQQ deleverage to QQQ or Sell to protect yourself from dot com level event) This latest update will cover some important refining points to the latest version of the strategy I posted previously covering two major enhancements after doing more research and talking to other members of the LETF community (special thanks to u/lobsterfanatic) There are three major changes I want to make in order to make this strategy the most optimal blend of Profit and Safety. Change 1: Using SPY instead of QQQ as the tracked underlying 200SMA the strategy is based around Backtest Start date of 1/1/2003 using QQQ & TQQQ (simulated) (Testfol.io) r/TQQQ - Backtest Start Date 1/1/2003 using QQQ & TQQQ (Simulated) Testfol.io Backtest Start Date 1/1/2003 using QQQ & TQQQ (Simulated) Testfol.io Change 2: Under the SPY 200SMA Trigger DCA into the underlying QQQ instead of Bonds/Cash r/TQQQ - Change 2: Under the SPY 200SMA Trigger DCA into the underlying QQQ instead of Bonds/Cash Change 2: Under the SPY 200SMA Trigger DCA into the underlying QQQ instead of Bonds/Cash So this one is an interesting one, above you can see the comparison of going into QQQ vs Bonds when you get a SELL signal from the strategy and exit the TQQQ position. You really only have two times when you lose money going into the underlying (-8% in the 2022 rate hike crash and -24% in the 08 Crash) overall the average is +6.91% which leads to much greater returns. If you want the strategy to be as easy and simple as possible just make a decision based on your risk tolerance of going into CASH/SGOV or QQQ based on the above data and your investing time horizon (if you may need to withdraw money at any point use CASH or BONDS, if you have years of time go QQQ). However this strategy has the goal of being completely bullet proof in any market scenario so in that spirit I would say the most optimal way to handle this if you want to make the strategy better is to sell to CASH/SGOV immediately when the SELL signal for the strategy comes through and then slowly DCA with the funds into the underlying over the next 12 months every month. Block back into the underlying. Buy all the way down and all the way up and when the next BUY signal triggers sell everything and return to 100% TQQQ Exposure. Change 3: Deleverage when too far above the QQQ 200SMA (Extremely rare but important) This is all about setting additional safety measures to deleverage when insanely high above the 200SMA, I'll just call this what it is...dot com bubble insurance. An extremely rare dagger in the dark that could assassinate your portfolio and an Achilles heel of this trading strategy. The 200SMA that this strategy revolves around is the mechanism that prevents mass drawdown events with a pseudo trailing stop loss, in the extremely rare event that price action skyrockets above the 200SMA too fast you become exposed to far too much risk, which necessitates this additional backstop. For this we will actually need to use the QQQ SMA instead of SPY as in these extremely rare scenarios we need it to be as accurate and sector specific as possible. The solution is simple, deleveraging as the price action of QQQ swings wildly upward too fast and too high above the QQQ 200SMA. You can choose whatever limits you would like but I'll be using these ones. Bodyguard Signal 1: 30% Above the QQQ 200SMA Deleverage to QQQ Bodyguard Signal 2: 40% Above the QQQ 200SMA SELL (This is the GTFO Level where you don't know where the top is but you don't really want to be there to find out lol)

Strategy

by freefighter07

Bitcoin Halving Cycles [DotGain]Halving Cycles A lightweight, time-anchored Bitcoin halving cycle visualizer built for clean charting, repeatable process planning, and simple profit/DCA timing references. This Code was heavily inspired by KevinSvenson_ who created Bitcoin Halving Cycle Profit . What this indicator does This script plots the key “cycle landmarks” relative to each halving date: Halving (⛏) – the cycle anchor Profit START – marks the beginning of the post-halving profit window (default: 40 weeks ) Profit END / Last Call – marks the final phase of the profit window (default: 77 weeks ) DCA START – marks the point where long-term accumulation becomes the focus again (default: 135 weeks ) How to read it Vertical lines = the exact cycle milestones Bottom labels = description of each milestone aligned to its line (keeps the chart clean) Green background (optional) = active Profit Zone on existing bars Red background (optional) = optional warning zone after Profit END HUD Panel (top-right) The HUD gives you a fast “where are we in the cycle?” view with two modes: Current Cycle Shows: Halving date, Weeks since, and time remaining to Profit START / Last Call / DCA START within the current cycle. Next Halving (Projection) Shows: Countdown to the next enabled future halving, plus the projected weeks from today to Profit START / Last Call / DCA START after that future halving. Future Halvings (manual) You can manually add up to 3 future halving dates (Halving #1–#3). This is useful for forward planning and cycle projection even before the event happens. Enable Halving #1 / #2 / #3 Set Year / Month / Day for each Optional: show/hide future markers & projections Note: background zones only shade existing bars . Future projections are shown via lines/labels. Settings overview Show all cycles – plots every enabled cycle (historical + optional future). If disabled, only the current cycle is drawn. Show Profit Zone background – green shading during the active profit window (current cycle only). Show vertical markers + labels – toggles all milestone lines + labels. Show HUD – toggles the HUD panel. HUD Mode – switch between Current Cycle and Next Halving (Projection). Cycle Logic – edit offsets in weeks (Profit START / Profit END / DCA START). Optional Warning Zone – show a post-profit warning shading for a chosen number of weeks. Have fun :) Disclaimer This Halving Cycles indicator is provided for informational and educational purposes only. It does not, and should not be construed as, financial, investment, or trading advice. This indicator is an independent implementation of a time-based Bitcoin halving cycle visualization tool and is not affiliated with, or endorsed by, any third-party trading systems, strategies, protocols, or trademarked methodologies. The cycle zones, milestone markers, and countdown values displayed by this indicator are generated by a predefined set of algorithmic rules based on historical halving dates and user-defined time offsets. They do not constitute a direct recommendation to buy, sell, or hold any financial instrument or digital asset. All trading and investing in financial markets involves a substantial risk of loss. You may lose part or all of your invested capital. Past performance does not guarantee future results. This indicator highlights historical and projected time-based market cycles and may produce false, lagging, incomplete, or misleading signals. Market behavior is influenced by many external factors and can deviate significantly from historical patterns or expectations. The creator DotGain assumes no responsibility or liability for any financial losses, damages, or decisions made based on the use of this indicator or the information it provides. You are solely responsible for your own trading and investment decisions. Always conduct your own research (DYOR), use proper risk management, validate insights with additional tools or analysis, and consider your personal financial situation and risk tolerance before making any financial decision.

Indicator

Pi Cycle BTC Top + Pre-Alert Bands Pi Cycle BTC Top + Pre-Alert Bands is an advanced implementation of the classic Pi Cycle Top model, designed for Bitcoin cycle analysis on higher timeframes (especially 1D BTCUSD/BTCUSD·INDEX). The original Pi Cycle Top uses two moving averages: • 111-day SMA (short MA) • 350-day SMA ×2 (long MA) A Pi Top is signaled when the 111 SMA crosses above the 350×2 SMA. Historically, this has occurred near major BTC cycle highs. This script extends that idea with a 3-step early-warning sequence: • Pi Green – early compression: short/long MA ratio crosses upward into the green band (convergence from below is required). • Pi Yellow – mid-cycle warning: only fires if a valid Green has already occurred in the same cycle. • Pi Cycle Top – final top: the classic Pi Cycle cross, limited to one top signal per cycle. After a top, no new Yellow or Top signals can appear until a new Green event starts the next cycle. Background shading shows the active phase (Green / Yellow / late-cycle zone), so you can see at a glance where BTC is within its Pi-based macro structure. All logic is non-repainting: request.security() uses lookahead_off and no future data is accessed. Typical use This indicator is intended as a macro-cycle timing and risk-awareness tool, not a stand-alone entry system. Many traders use it to: • Watch for Pi Green as the start of a potential late-cycle advance. • Treat Pi Yellow as a rising-risk environment and tighten risk management. • Use the Pi Cycle Top as a historical high-risk zone where large profit-taking or hedging may be considered. Always combine this with your own analysis (trend, volume, on-chain, macro) before making decisions. How to set alerts Add the indicator to your chart (1D BTCUSD or BTCUSD·INDEX recommended). Click Alerts → Condition → Pi Cycle BTC Top + Pre-Alert Bands. Choose one of: • Pi Cycle – Green Pre-Alert (early convergence) • Pi Cycle – Yellow Pre-Alert (after Green only) • Pi Cycle – TOP (Single per Cycle, after Green) Use “Once per bar close” for higher-timeframe reliability. Disclaimer This tool is for educational and analytical purposes only. The Pi Cycle concept is based on historical behavior and does not guarantee future results. This is not financial advice; always do your own research and manage risk appropriately.

Indicator

Greer Free Cash Flow Yield ✅ Title Greer Free Cash Flow Yield (FCF%) — Long-Term Value Signal 📝 Description The Greer Free Cash Flow Yield indicator is part of the Greer Financial Toolkit, designed to help long-term investors identify fundamentally strong and potentially undervalued companies. 📊 What It Does Calculates Free Cash Flow Per Share (FY) from official financial reports Divides by the current stock price to produce Free Cash Flow Yield % Tracks a static average across all available financial years Color-codes the yield line: 🟩 Green when above average (stronger value signal) 🟥 Red when below average (weaker value signal) 💼 Why It Matters FCF Yield is a powerful metric that reveals how efficiently a company turns revenue into usable cash. This can be a better long-term value indicator than earnings yield or P/E ratios, especially in capital-intensive industries. ✅ Best used in combination with: 📘 Greer Value (fundamental growth score) 🟢 Greer BuyZone (technical buy zone detection) 🔍 Designed for: Fundamental investors Value screeners Dividend and FCF-focused strategies 📌 This tool is for informational and educational use only. Always do your own research before investing.

Indicator

by controllinghand

S&P 500 & Normalized CAPE Z-Score Analyzer This macro-focused indicator visualizes the historical valuation of the U.S. equity market using the CAPE ratio (Shiller P/E), normalized over its long-term average and standard deviations. It helps traders and investors identify overvaluation and undervaluation zones over time, combining both statistical signals and historical context. 💡 Why It’s Useful This indicator is ideal for macro traders and long-term investors looking to contextualize equity valuations across decades. It helps identify statistical extremes in valuation by referencing the standard deviation of the CAPE ratio relative to its long-term mean. The overlay of S&P 500 price with valuation zones provides a visual confirmation tool for macro decisions or timing insights. It includes: ✅ Three display modes: -S&P 500 (color-coded by CAPE valuation zone) -Normalized CAPE (vs. long-term mean) -CAPE Z-Score (standardized measure) 🎯 How to Interpret Dynamic coloring of the S&P 500 price based on CAPE valuation: 🔴 Z > +2σ → Highly Overvalued 🟠 Z > +1σ → Overvalued ⚪ -1σ < Z < +1σ → Neutral 🟢 Z < -1σ → Undervalued ✅ Z < -2σ → Strong Buy Zone -Live valuation label showing the current CAPE, Z-score, and zone. -Macro event shading: major historical events (e.g. Great Depression, Oil Crisis, Dot-com Bubble, COVID Crash) are shaded on the chart for context. ✅ Built-in alerts: CAPE > +2σ → Potential risk zone CAPE < -2σ → Potential opportunity zone 📊 Use Cases This indicator is ideal for: 🧠 Macro traders seeking long-term valuation extremes. 📈 Portfolio managers monitoring systemic valuation risk. 🏛️ Long-term investors timing strategic allocation shifts. 🧪 How It Works CAPE ratio (Shiller PE) is retrieved from Quandl (MULTPL/SHILLER_PE_RATIO_MONTH). The script calculates the long-term average and standard deviation of CAPE. The Z-score is computed as: (CAPE - Mean) / Standard Deviation Users can switch between: S&P 500 chart, color-coded by CAPE valuation zones. Normalized CAPE, centered around zero (historic mean). CAPE Z-score, showing statistical positioning directly. Visual bands represent +1σ, +2σ, -1σ, -2σ thresholds. You can switch between modes using the “Display” dropdown in the settings panel. 📊 Data Sources CAPE: MULTPL/SHILLER_PE_RATIO_MONTH via Quandl S&P 500: Monthly close prices of SPX (PulseWire data) All data updated on monthly resolution This is not a repackaged built-in or autogenerated script. It’s a custom-built and interactive indicator designed for educational and analytical use in macroeconomic valuation studies.

Indicator

Modern Economic Eras Dashboard Overview This script provides a historical macroeconomic visualization of U.S. markets, highlighting long-term structural "eras" such as the Bretton Woods period, the inflationary 1970s, and the post-2020 "Age of Disorder." It overlays key economic indicators sourced from FRED (Federal Reserve Economic Data) and displays notable market crashes, all in a clean and rescaled format for easy comparison. Data Sources & Indicators All data is loaded monthly from official FRED series and rescaled to improve readability: 🔵 Real GDP (FRED:GDP): Total output of the U.S. economy. 🔴 Inflation Index (FRED:CPIAUCSL): Consumer price index as a proxy for inflation. ⚪ Debt to GDP (FRED:GFDGDPA188S): Federal debt as % of GDP. 🟣 Labor Force Participation (FRED:CIVPART): % of population in the labor force. 🟠 Oil Prices (FRED:DCOILWTICO): Monthly WTI crude oil prices. 🟡 10Y Real Yield (FRED:DFII10): Inflation-adjusted yield on 10-year Treasuries. 🔵 Symbol Price: Optionally overlays the charted asset’s price, rescaled. Historical Crashes The dashboard highlights 10 major U.S. market crashes, including 1929, 2000, and 2008, with labeled time spans for quick context. Era Classification Six macroeconomic eras based on Deutsche Bank’s Long-Term Asset Return Study (2020) are shaded with background color. Each era reflects dominant economic regimes—globalization, wars, monetary systems, inflationary cycles, and current geopolitical disorder. Best Use Cases ✅ Long-term macro investors studying structural market behavior ✅ Educators and analysts explaining economic transitions ✅ Portfolio managers aligning strategy with macroeconomic phases ✅ Traders using history for cycle timing and risk assessment Technical Notes Designed for monthly timeframe, though it works on weekly. Uses close price and standard request.security calls for consistency. Max labels/lines configured for broader history (from 1860s to present). All plotted series are rescaled manually for better visibility. Originality This indicator is original and not derived from built-in or boilerplate code. It combines multiple economic dimensions and market history into one interactive chart, helping users frame today's markets in a broader structural context.

Indicator

Long and Short Term Highs and Lows Long and Short Term Highs and Lows Overview: This indicator is designed to help traders identify significant price points by marking new highs and lows over two distinct timeframes—a long-term and a short-term period. It achieves this by drawing optional channel lines that outline the highest highs and lowest lows over the chosen time periods and by plotting visual markers (triangles) on the chart when a new high or low is detected. Key Features: Dual Timeframe Analysis: Long Term: Uses a user-defined “Time Period” (default 52) and “Time Unit” (default: Weekly) to determine long-term high and low levels. Short Term: Uses a separate “Time Period” (default 50) and “Time Unit” (default: Daily) to compute short-term high and low levels. Optional Channel Display: For both long and short term periods, you have the option to display a channel by plotting the highest and lowest values as lines. This visual channel helps to delineate the range within which the price has traded over the selected period. New High/Low Markers: The indicator identifies moments when the highest high or lowest low is updated relative to the previous bar. When a new high is established, an up triangle is plotted above the bar. Conversely, when a new low occurs, a down triangle is plotted below the bar. Separate input toggles allow you to enable or disable these markers independently for the long-term and short-term setups. Inputs and Settings: Long Term High/Low Period Settings: Show New High/Low? (STW): Toggle to enable or disable the plotting of new high/low markers for the long-term period. Time Period: The number of bars used to calculate the highest high and lowest low (default is 52). Time Unit: The timeframe on which the long-term calculation is based (default is Weekly). Show Channel? (SCW): Toggle to display the channel lines that connect the long-term high and low levels. Short Term High/Low Period Settings: Show New High/Low?: Toggle to enable or disable the plotting of new high/low markers for the short-term period. Time Period: The number of bars used for calculating the short-term extremes (default is 50). Time Unit: The timeframe on which the short-term calculations are based (default is Daily). Show Channel?: Toggle to display the channel lines for the short-term highs and lows. Indicator Logic: Channel Calculation: The script uses the request.security function to pull data from the specified timeframes. For each timeframe: It calculates the lowest low over the defined period using ta.lowest. It calculates the highest high over the defined period using ta.highest. These values can be optionally plotted as channel lines when the “Show Channel?” option is enabled. New High/Low Detection: For each timeframe, the indicator compares the current high (or low) with its immediate previous value: New High: When the current high exceeds the previous bar’s high, an up triangle is drawn above the bar. New Low: When the current low falls below the previous bar’s low, a down triangle is drawn below the bar. Usage and Interpretation: Trend Identification: When new highs (or lows) occur, they can signal the start of a strong upward (or downward) movement. The indicator helps you visually track these critical turning points over both longer and shorter periods. Channel Breakouts: The optional channel display offers additional context. Price movement beyond these channels may indicate a breakout or a significant shift in trend. Customizable Timeframes: You can adjust both the time period and time unit to fit your trading style—whether you’re focusing on longer-term trends or short-term price action. Conclusion: This indicator provides a dual-layer analysis by combining long-term and short-term perspectives, making it a versatile tool for identifying key highs and lows. Whether you are looking to confirm trend strength or spot potential breakouts, the “Long and Short Term Highs and Lows” indicator adds a valuable visual element to your PulseWire charts.

Indicator

by CandleFluency

3x Supertrend (for Vietnamese stock market and vn30f1m)The 4Vietnamese 3x Supertrend Strategy is an advanced trend-following trading system developed in Pine Script™ and designed for publication on PulseWire as an open-source strategy under the Mozilla Public License 2.0. This strategy leverages three Supertrend indicators with different ATR lengths and multipliers to identify optimal trade entries and exits while dynamically managing risk. Key Features: Option to build and hold long term positions with entry stop order. Try this to avoid market complex movement and retain long term investment style's benefits. Advanced Entry & Exit Optimization: Includes configurable stop-loss mechanisms, pyramiding, and exit conditions tailored for different market scenarios. Dynamic Risk Management: Implements features like selective stop-loss activation, trade window settings, and closing conditions based on trend reversals and loss management. This strategy is particularly suited for traders seeking a systematic and rule-based approach to trend trading. By making it open-source, we aim to provide transparency, encourage community collaboration, and help traders refine and optimize their strategies for better performance. License: This script is released under the Mozilla Public License 2.0, allowing modifications and redistribution while maintaining open-source integrity. Happy trading!

Strategy

Radial Basis Kernal ATR [BackQuant]Radial Basis Kernel ATR The Radial Basis Kernel ATR is a trading indicator that combines the classic Average True Range (ATR) with advanced Radial Basis Function (RBF) kernel smoothing . This innovative approach creates a highly adaptive and precise tool for detecting volatility, identifying trends, and providing dynamic support and resistance levels. With its configurable parameters and ability to adjust to market conditions, this indicator offers traders a robust framework for making informed decisions across various assets and timeframes. Key Feature: Radial Basis Function Kernel Smoothing The Radial Basis Function (RBF) kernel is at the heart of this indicator, applying sophisticated mathematical techniques to smooth price data and calculate an enhanced version of ATR. By weighting data points dynamically, the RBF kernel ensures that recent price movements are given appropriate emphasis without overreacting to short-term noise. The RBF kernel uses a gamma factor to control the degree of smoothing, making it highly adaptable to different asset classes and market conditions: Gamma Factor Adjustment : For low-volatility data (e.g., indices), a smaller gamma (0.05–0.1) ensures smoother trends and avoids overly sharp responses. For high-volatility data (e.g., cryptocurrencies), a larger gamma (0.1–0.2) captures the increased price fluctuations while maintaining stability. Experimentation is Key : Traders are encouraged to backtest and visually compare different gamma values to find the optimal setting for their specific asset and strategy. The gamma factor dynamically adjusts based on the variance of the source data, ensuring the indicator remains effective across a wide range of market conditions. Average True Range (ATR) with Dynamic Bands The ATR is a widely used volatility measure that captures the degree of price movement over a specific period. This indicator enhances the traditional ATR by integrating the RBF kernel, resulting in a smoothed and adaptive ATR calculation. Dynamic bands are created around the RBF kernel output using a user-defined ATR factor , offering valuable insights into potential support and resistance zones. These bands expand and contract based on market volatility, providing a visual representation of potential price movement. Moving Average Confluence For additional confirmation, the indicator includes the option to overlay a moving average on the smoothed ATR. Traders can choose from several moving average types, such as EMA , SMA , or Hull , and adjust the lookback period to suit their strategy. This feature helps identify broader trends and potential confluence areas, making the indicator even more versatile. Long and Short Trend Detection The indicator provides long and short signals based on the directional movement of the smoothed ATR: Long Signal : Triggered when the ATR crosses above its previous value, indicating bullish momentum. Short Signal : Triggered when the ATR crosses below its previous value, signaling bearish momentum. These trend signals are visually highlighted on the chart with green and red bar coloring (optional), providing clear and actionable insights. Customization Options The Radial Basis Kernel ATR offers extensive customization options, allowing traders to tailor the indicator to their preferences: RBF Kernel Settings Source : Select the price data (e.g., close, high, low) used for the kernel calculation. Kernel Length : Define the lookback period for the RBF kernel, controlling the smoothing effect. Gamma Factor : Adjust the smoothing sensitivity, with smaller values for smoother trends and larger values for responsiveness. ATR Settings ATR Period : Set the period for ATR calculation, with shorter periods capturing more short-term volatility and longer periods providing a broader view. ATR Factor : Adjust the scaling of ATR bands for dynamic support and resistance levels. Confluence Settings Moving Average Type : Choose from various moving average types for additional trend confirmation. Moving Average Period : Define the lookback period for the moving average overlay. Visualization Trend Coloring : Enable or disable bar coloring based on trend direction (green for long, red for short). Background Highlighting : Add optional background shading to emphasize long and short trends visually. Line Width : Customize the thickness of the plotted ATR line for better visibility. Alerts and Automation To help traders stay on top of market movements, the indicator includes built-in alerts for trend changes: Kernel ATR Trend Up : Triggered when the ATR indicates a bullish trend. Kernel ATR Trend Down : Triggered when the ATR signals a bearish trend. These alerts ensure traders never miss important opportunities, providing timely notifications directly to their preferred device. Suggested Gamma Values The effectiveness of the gamma factor depends on the asset type and the selected kernel length: Low Volatility Assets (e.g., indices): Use a smaller gamma factor (approximately 0.05–0.1) for smoother trends. High Volatility Assets (e.g., crypto): Use a larger gamma factor (approximately 0.1–0.2) to capture sharper price movements. Experimentation : Fine-tune the gamma factor using backtests or visual comparisons to optimize for specific assets and strategies. Trading Applications The Radial Basis Kernel ATR is a versatile tool suitable for various trading styles and strategies: Trend Following : Use the smoothed ATR and dynamic bands to identify and follow trends with confidence. Reversal Trading : Spot potential reversals by observing interactions with dynamic ATR bands and moving average confluence. Volatility Analysis : Analyze market volatility to adjust risk management strategies or position sizing. Final Thoughts The Radial Basis Kernel ATR combines advanced mathematical techniques with the practical utility of ATR, offering traders a powerful and adaptive tool for volatility analysis and trend detection. Its ability to dynamically adjust to market conditions through the RBF kernel and gamma factor makes it a unique and indispensable part of any trader's toolkit. By combining sophisticated smoothing , dynamic bands , and customizable visualization , this indicator enhances the ability to read market conditions and make more informed trading decisions. As always, backtesting and incorporating it into a broader strategy are recommended for optimal results.

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Johnny's Adjusted BB Buy/Sell Signal "Johnny's Adjusted BB Buy/Sell Signal" leverages Bollinger Bands and moving averages to provide dynamic buy and sell signals based on market conditions. This indicator is particularly useful for traders looking to identify strategic entry and exit points based on volatility and trend analysis. How It Works Bollinger Bands Setup: The indicator calculates Bollinger Bands using a specified length and multiplier. These bands serve to identify potential overbought (upper band) or oversold (lower band) conditions. Moving Averages: Two moving averages are calculated — a trend moving average (trendMA) and a long-term moving average (longTermMA) — to gauge the market's direction over different time frames. Market Phase Determination: The script classifies the market into bullish or bearish phases based on the relationship of the closing price to the long-term moving average. Strong Buy and Sell Signals: Enhanced signals are generated based on how significantly the price deviates from the Bollinger Bands, coupled with the average candle size over a specified lookback period. The signals are adjusted based on whether the market is bullish or bearish: In bullish markets, a strong buy signal is triggered if the price significantly drops below the lower Bollinger Band. Conversely, a strong sell signal is activated when the price rises well above the upper band. In bearish markets, these signals are modified to be more conservative, adjusting the thresholds for triggering strong buy and sell signals. Features: Flexibility: Users can adjust the length of the Bollinger Bands and moving averages, as well as the multipliers and factors that determine the strength of buy and sell signals, making it highly customizable to different trading styles and market conditions. Visual Aids: The script vividly plots the Bollinger Bands and moving averages, and signals are visually represented on the chart, allowing traders to quickly assess trading opportunities: Regular buy and sell signals are indicated by simple shapes below or above price bars. Strong buy and sell signals are highlighted with distinctive colors and placed prominently to catch the trader's attention. Background Coloring: The background color changes based on the market phase, providing an immediate visual cue of the market's overall sentiment. Usage: This indicator is ideal for traders who rely on technical analysis to guide their trading decisions. By integrating both Bollinger Bands and moving averages, it provides a multi-faceted view of market trends and volatility, making it suitable for identifying potential reversals and continuation patterns. Traders can use this tool to enhance their understanding of market dynamics and refine their trading strategies accordingly.

Indicator

by JonathanLeyva

Buy Below Prev_Low. Sell 100% Above Avg. Pyramiding.This is simple indicator script for long term investors. It will check if the low of today is less than low of yesterday (or any time frame candle) and if the condition is satisfied, then the alert will be triggerred and that particular stock will be bought. Each time a unit is bought, the average price is calculated and also the trget selling price, which is set at 100% above the average buying price. So once the price reaches that selling price target, the entire holding is sold. The code resets all the variables back to 0 once a sell signal is triggerred.

Indicator

Fetch Buy And Hold Strategy This script was created as an experiment using ChatGPT. I actually woudn't recommend using the ai program to help you with your Pinescripts, as it makes a fair amount of mistakes. It was a fun experiment however. The script is a simple buy and hold tool. Here's what it does: - Everytime the rsi enters below the set treshold, a counter increases. - The second increase of the counter happens when the price goes above the treshold, and then dips below the treshold again. - The program would fire off a buy signal when the counter hits the number 3. - After the buy. the counter will reset. Lets take a look at the following example where the rsi treshold is 30: - So the rsi dips below 30 and the initial counter is set from 0 to 1. - The price rises which brings the rsi back to 40. - Then another dip happens and the rsi is now 25, increasing the counter from 1 two. - Rsi now dips to 23 and nothing happens. - Rsi goes back up to 31, and dips back to 28 which puts the counter at 3. A buy singal is now fired and the counter is set to 0.

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Shiller PE Ratio (CAPE Ratio) [WhaleCrew]Our Implementation of the famous Shiller PE Ratio (aka C yclically A djusted P rice-to- E arnings Ratio) a long-term valuation indicator for the S&P 500. Calculation: Share price divided by 10 - year average, inflation - adjusted earnings The indicator works on the M and 12M timeframe and has a built-in moving average that supports an upper and lower bollinger band.

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Pivot Highs&lows: Short/Medium/Long-term + Spikeyness Filter Shows Pivot Highs & Lows defined or 'Graded' on a fractal basis: Short-term, medium-term and long-term. Also applies 'Spikeyness' condition by default to filter-out weak/rounded pivots ES1! 4hr chart (CME) shown above, with lookback = 15; clearly identifying the major highs & lows on the basis of how they are fractally 'nested' within lesser Pivots. -- in the above chart Short term pivot highs (STH) are simply represented by green 'ʌ', and short-term pivot lows (STL) are simply represented by orange 'v'. //Basics: (as applying to pivot highs, the following is reversed for pivot lows) -Short term highs (STH) are simple pivot highs, albeit refined from standard with the 'spikeyness' filter. -Medium-term highs (MTH) are defined as having a lower STH on either side of them. -Long-term highs (LTH) are defined as having a lower MTH on either side of them. //Purpose: -Education: Quick and easy visualization of the strength or importance of a pivot high or low; a way of grading them based on their larger context. -Backtesting: use in combination with other trading methods when backtesting to see the relative significance and price sensitivity of LTHs/LTLs compared to lower grade highs and lows. //Settings: -Choose Pivot lookback/lookforward bars: One setting, the basis from which all further pivot calculations are done. -Toggle on/off 'Spikeyness' condition to filter-out weak/rounded/unimpressive pivot highs or lows (default is ON). -Toggle on/off each of STH, MTH, LTH, STL, MTL, LTL; and choose label text-styles/colors/sizes independently. -Set text Vertically, horizonally, or simply use 'ʌ' or 'v' symbols if you want to declutter your chart. //Usage notes: -Pivots take time to print (lookback bars must have elapsed before confirmation). Fractally nested pivots as here (i.e. a LTH), take even longer to print/confirm, so please be patient. -Works across timeframes & Assets. Different timeframes may require slightly tweaked lookback/forward settings for optimal use; default is 15 bars. Example usage with just symbolic labels short-term, med-term, long-term with 1x, 2x and 3x ʌ/v respectively:

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Invest-Long : Script for quick checks before investing A simple script to verify RSI, SMAs, VWMA, and Pivots on Daily, Weekly, and Monthly time frames. In case if you are not interested in SMA's or want to add different cheks -- simply copy the script to local and edit. Happy investing. Add the script to any chart and table values remain the same irrespective of current chart resolution, as it checks on Daily, Weekly, and Monthly time frames. The table has multiple columns. 1st column checks on RSI value on all 3 timeframes. Ideally, look for all green and D>W>M 2nd Column: Check current Close is above 20 SMA and 50 SMA on Daily / Weekly / Monthly time frames 3rd Column: Check SMA 13> SMA 34, SMA 34 > SMA 55 and SMA 20 > SMA 50 on Daily / Weekly time frames 4th Column: Check Current close is above Weekly Pivot and Monthly Pivot. And also verify Close is above 4 Week High. 5th Column: Verify Close is above Daily VWMA. Also Daily VWMA is > Weekly VWMA and Weekly > Monthly. // Similarly you can add more checks based on different time frames Feel free to trouble me incase if need help.

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Balance of Power Heikin Ashi Investing Strategy Balance of Power Heikin Ashi Investing Strategy This is a swing strategy designed for investment help. Its made around the Balace of Power indicator, but has been adapted on using the Monthly Heikin Ashi candle from the SPY asset in order to be used with correlation for US Stock/ETF/Index Markets. The BOP acts as an oscilallator showing the power of a bull trend when its positive and a bearish trend when its in negative. At the same time we can spot reversals, based on the percentiles ( 99/1) The rules for entry : For long : The 99 percentile is ascending, and we are either in a positive value (>0), or we crossed the bottom place ( -0.35) For short : the 99 and 1 percentile are descending, and we are either in a negative value(<0), or we crossed down the top place ( 0.6) If you have any questions please let me know !

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Krugman's Dynamic DCA This script helps you create a DCA (dollar-cost averaging) strategy for your favorite markets and calculates the DCA value for each bar. This can be used to DCA daily, weekly, bi-weekly, etc. Configuring the indicator: - DCA Starting Price : the price you want to begin DCA'ing - DCA Base Amount : the $ amount you will DCA when price is half of your starting price - DCA Max Amount : the maximum amount you want to DCA regardless of how low price gets The DCA scaling works exactly like the formula used to calculated the gain needed to recover from a given % loss. In this case it's calculated from the DCA Starting Price . The idea is to increase the DCA amount linearly with the increased upside potential.

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Buffett Indicator: Wilshire 5000 to GDP Ratio [WhaleCrew]Our Implementation of the famous Buffett Indicator a long-term valuation indicator for stocks. Calculation: Wilshire 5000 Index divided by US GDP (Gross Domestic Product)

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Long Term: Cumulative Moving Average Who to use? This indicator is for Long Term Investors or for Position trading and not for Day traders. What time-frame to use? • Daily, Weekly or Monthly What is Blue line? • Blue line is Cumulative Moving Average. It is cumulative sum of closing price. • It is a trend reversal level. • It is a strong support level. • If price is below Blue line better not to take any Long position until it crosses above it. What are Red lines? • Red lines are Multiplier levels. • These are target levels to exit the position. • It can be breakout or pull back levels. • The level combination numbers can be fully odd or even numbers. • For example in certain stocks the working levels will be 1x, 3x, 5x etc., in others it will be even numbers like 2x, 4x, 6x etc. • In some cases the levels need to be tweaked with custom decimals like 1.1x, 2.1x, 3.1x, 4.1x etc. to align the support & resistance levels. How to use? Entry • Enter when the Price reach closer to the Blue line. • Enter Long when the Price takes a pullback or breakout at the Red lines. Exit • Exit position when the Price reach closer to the Red lines in Long positions. Indicator Menu • Works only in higher time-frames like D, W & M. • Will not work in Lower time-frames less than "D" or the Launch Date shows wrong in Lower time-frames. Multipliers: (Read above What are Red lines?) Launch Date: • Launch Date: Starting date of stock when it appeared in the exchange. Works only in D, W & M timeframes. • Years: Total number of years from the Launch Date. Accurate date will be shown in Daily timeframe. • Candles Count: Total number of candles from the Launch Date in the current timeframe. Labels: • First number is last traded price. • Second number in () is percentage change from last traded price to that level.

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by Arun_K_Bhaskar

Vwap Salvatierra Vwap Salvatierra. an indicator that must be accompanied by other volume indicators. Benefits: - Long term Vwap. - Middle Std. deviations, Calculated automatically. - Previous zones available. How to use: when the price is >= stdev+3, look for shorts till came back to vwap whe the price is <= stdev-3, look for longs till came back to vwap if the vwap cannot be broken, as resistance, after several attempts, then sell if the vwap can't be broken, like support, after several tries, then buy.

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by Jesus_Salvatierra

The DD invest The script tells me when to invest in the stock. Split ur money into 3 piles. Each must be bigger than the previous one. Buy with the first pile when the chart touches the middle line (SMA200). Buy with the second pile when the chart touches the bottom line (lowest price of 200 weeks). Buy with the third pile when the chart goes significantly below the bottom line (lowest price of 200 weeks). Watch only the W1 chart (!!!). Circles on the chart indicate places where you should buy (examples). Consider selling half of the holding when the chart touches the top line (the highest price of 200 weeks). Hold the rest much longer then you plan to ;)

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Trend Momentum with Buyers / Sellers Power Hi there! With this indicator, you can hunt big trends before they start. This indicator is combined with RSI and Momentum indicators It can show you the power of trend and which side it wants to go It can help you to open a position at the first point of a new trend or at the safe and proven point of the trend, also it can help you to close your position before the trend change its direction (it's not recommended to use it to close your positon, but sometimes it can help you to find the ending point of big pumps) Rules: * Baseline is ZERO ( 0 ) line * When gray line crossover red line, it shows us a powerful uptrend * When the gray line crossunder the red line it shows us a powerful upward trend Signals: * Only use Buy signals(Long) when they are above or crossing-up baseline * Only use Sell signals(Short) when they are under or crossing-down baseline * If they both (red and gray lines) are too high and they suddenly starting to come back to baseline, it shows we have a range trend, the trend is weak or a reversal trend is coming!! !! WARNING: DO NOT USE THIS INDICATOR ALONE !! Suggestions : -Use 1H, 4H, daily, or Weekly timeframes -Use ADX and DI or three WMA's -Use divergence -You can use it for scalping but you need to change the inputs (not recommended) If you have any idea about making new indicators(what information do you want from the chart?), comment please, then I can research and make it for all of us! =)

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by Crypto_Checkup

In-depth global business and economic analysis Comprehensive trading education and market insights