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Baseline Deviation Oscillator [Alpha Extract]A sophisticated normalized oscillator system that measures price deviation from a customizable moving average baseline using ATR-based scaling and dynamic threshold adaptation. Utilizing advanced HL median filtering and multi-timeframe threshold calculations, this indicator delivers institutional-grade overbought/oversold detection with automatic zone adjustment based on recent oscillator extremes. The system's flexible baseline architecture supports six different moving average types while maintaining consistent ATR normalization for reliable signal generation across varying market volatility conditions. 🔶 Advanced Baseline Construction Framework Implements flexible moving average architecture supporting EMA, RMA, SMA, WMA, HMA, and TEMA calculations with configurable source selection for optimal baseline customization. The system applies HL median filtering to the raw baseline for exceptional smoothing and outlier resistance, creating ultra-stable trend reference levels suitable for precise deviation measurement. // Flexible Baseline MA System ma(src, length, type) => if type == "EMA" ta.ema(src, length) else if type == "TEMA" ema1 = ta.ema(src, length) ema2 = ta.ema(ema1, length) ema3 = ta.ema(ema2, length) 3 * ema1 - 3 * ema2 + ema3 // Baseline with HL Median Smoothing Baseline_Raw = ma(src, MA_Length, MA_Type) Baseline = hlMedian(Baseline_Raw, HL_Filter_Length) 🔶 ATR Normalization Engine Features sophisticated ATR-based scaling methodology that normalizes price deviations relative to current volatility conditions, ensuring consistent oscillator readings across different market regimes. The system calculates ATR bands around the baseline and uses half the band width as the normalization factor for volatility-adjusted deviation measurement. 🔶 Dynamic Threshold Adaptation System Implements intelligent threshold calculation using rolling window analysis of oscillator extremes with configurable smoothing and expansion parameters. The system identifies peak and trough levels over dynamic windows, applies EMA smoothing, and adds expansion factors to create adaptive overbought/oversold zones that adjust to changing market conditions. 1D 3D 1W 🔶 Multi-Source Configuration Architecture Provides comprehensive source selection including Close, Open, HL2, HLC3, and OHLC4 options for baseline calculation, enabling traders to optimize oscillator behavior for specific trading styles. The flexible source system allows adaptation to different market characteristics while maintaining consistent ATR normalization methodology. 🔶 Signal Generation Framework Generates bounce signals when oscillator crosses back through dynamic thresholds and zero-line crossover signals for trend confirmation. The system identifies both standard threshold bounces and extreme zone bounces with distinct alert conditions for comprehensive reversal and continuation pattern detection. Bull_Bounce = ta.crossover(OSC, -Active_Lower) or ta.crossover(OSC, -Active_Lower_Extreme) Bear_Bounce = ta.crossunder(OSC, Active_Upper) or ta.crossunder(OSC, Active_Upper_Extreme) // Zero Line Signals Zero_Cross_Up = ta.crossover(OSC, 0) Zero_Cross_Down = ta.crossunder(OSC, 0) 🔶 Enhanced Visual Architecture Provides color-coded oscillator line with bullish/bearish dynamic coloring, signal line overlay for trend confirmation, and optional cloud fills between oscillator and signal. The system includes gradient zone fills for overbought/oversold regions with configurable transparency and threshold level visualization with automatic label generation. snapshot 🔶 HL Median Filter Integration Features advanced high-low median filtering identical to DEMA Flow for exceptional baseline smoothing without lag introduction. The system constructs rolling windows of baseline values, performs median extraction for both odd and even window lengths, and eliminates outliers for ultra-clean deviation measurement baseline. 🔶 Comprehensive Alert System Implements multi-tier alert framework covering bullish bounces from oversold zones, bearish bounces from overbought zones, and zero-line crossovers in both directions. The system provides real-time notifications for critical oscillator events with customizable message templates for automated trading integration. 🔶 Performance Optimization Framework Utilizes efficient calculation methods with optimized array management for median filtering and minimal computational overhead for real-time oscillator updates. The system includes intelligent null value handling and automatic scale factor protection to prevent division errors during extreme market conditions. 🔶 Why Choose Baseline Deviation Oscillator ? This indicator delivers sophisticated normalized oscillator analysis through flexible baseline architecture and dynamic threshold adaptation. Unlike traditional oscillators with fixed levels, the BDO automatically adjusts overbought/oversold zones based on recent oscillator behavior while maintaining consistent ATR normalization for reliable cross-market and cross-timeframe comparison. The system's combination of multiple MA type support, HL median filtering, and intelligent zone expansion makes it essential for traders seeking adaptive momentum analysis with reduced false signals and comprehensive reversal detection across cryptocurrency, forex, and equity markets.
Pine Script® Indikator
von AlphaExtract
2
Frequency Momentum Oscillator [QuantAlgo]🟢 Overview The  Frequency Momentum Oscillator  applies Fourier-based spectral analysis principles to price action to identify regime shifts and directional momentum. It calculates Fourier coefficients for selected harmonic frequencies on detrended price data, then measures the distribution of power across low, mid, and high frequency bands to distinguish between persistent directional trends and transient market noise. This approach provides traders with a quantitative framework for assessing whether current price action represents meaningful momentum or merely random fluctuations, enabling more informed entry and exit decisions across various asset classes and timeframes. 🟢 How It Works The calculation process removes the dominant trend from price data by subtracting a simple moving average, isolating cyclical components for frequency analysis: detrendedPrice = close - ta.sma(close , frequencyPeriod) The detrended price series undergoes frequency decomposition through Fourier coefficient calculation across the first 8 harmonics. For each harmonic frequency, the algorithm computes sine and cosine components across the lookback window, then derives power as the sum of squared coefficients: for k = 1 to 8 cosSum = 0.0 sinSum = 0.0 for n = 0 to frequencyPeriod - 1 angle = 2 * math.pi * k * n / frequencyPeriod cosSum := cosSum + detrendedPrice * math.cos(angle) sinSum := sinSum + detrendedPrice * math.sin(angle) power = (cosSum * cosSum + sinSum * sinSum) / frequencyPeriod Power measurements are aggregated into three frequency bands: low frequencies (harmonics 1-2) capturing persistent cycles, mid frequencies (harmonics 3-4), and high frequencies (harmonics 5-8) representing noise. Each band's power normalizes against total spectral power to create percentage distributions: lowFreqNorm = totalPower > 0 ? (lowFreqPower / totalPower) * 100 : 33.33 highFreqNorm = totalPower > 0 ? (highFreqPower / totalPower) * 100 : 33.33 The normalized frequency components undergo exponential smoothing before calculating spectral balance as the difference between low and high frequency power: smoothLow = ta.ema(lowFreqNorm, smoothingPeriod) smoothHigh = ta.ema(highFreqNorm, smoothingPeriod) spectralBalance = smoothLow - smoothHigh Spectral balance combines with price momentum through directional multiplication, producing a composite signal that integrates frequency characteristics with price direction: momentum = ta.change(close , frequencyPeriod/2) compositeSignal = spectralBalance * math.sign(momentum) finalSignal = ta.ema(compositeSignal, smoothingPeriod) The final signal oscillates around zero, with positive values indicating low-frequency dominance coupled with upward momentum (trending up), and negative values indicating either high-frequency dominance (choppy market) or downward momentum (trending down). 🟢 How to Use This Indicator → Long/Short Signals:  the indicator generates long signals when the smoothed composite signal crosses above zero (indicating low-frequency directional strength dominates) and short signals when it crosses below zero (indicating bearish momentum persistence). → Upper and Lower Reference Lines:  the +25 and -25 reference lines serve as threshold markers for momentum strength. Readings beyond these levels indicate strong directional conviction, while oscillations between them suggest consolidation or weakening momentum. These references help traders distinguish between strong trending regimes and choppy transitional periods. → Preconfigured Presets:  three optimized configurations are available with Default (32, 3) offering balanced responsiveness, Fast Response (24, 2) designed for scalping and intraday trading, and Smooth Trend (40, 5) calibrated for swing trading and position trading with enhanced noise filtration. → Built-in Alerts:  the indicator includes three alert conditions for automated monitoring - Long Signal (momentum shifts bullish), Short Signal (momentum shifts bearish), and Signal Change (any directional transition). These alerts enable traders to receive real-time notifications without continuous chart monitoring. → Color Customization:  four visual themes (Classic green/red, Aqua blue/orange, Cosmic aqua/purple, Custom) allow chart customization for different display environments and personal preferences.
Pine Script® Indikator
von QuantAlgo
6
Smart Money Flow PRO + MFI [PERCENT]Smart Money Flow PRO + MFI Indicator Professional Smart Money Tracking with Multi-Timeframe Analysis This advanced indicator combines volume analysis, money flow, and smart money detection to identify high-probability trade setups. Perfect for traders who want to follow institutional money flow. 🎯 KEY FEATURES: 📊 SMART MONEY DETECTION: Volume Delta analysis (bullish/bearish volume tracking) Cumulative Delta with trend detection Smart Money Power formula combining multiple factors Open Interest simulation for market depth 📈 MULTI-CONFIRMATION SYSTEM: Money Flow Index (MFI) with custom overbought/oversold zones Bullish/Bearish Divergence detection Convergence signals for trend confirmation Real-time market state analysis 🎨 PROFESSIONAL VISUALS: Percentage-based table showing all metrics in 0-100% scale Color-coded strength indicators (Strong/Medium/Weak) Oscillator window with MFI, Delta, and Power histograms Clean, organized layout with intuitive icons ⚡ TRADING SIGNALS: STRONG BUY/SELL alerts with multiple confirmations Divergence/convergence visual markers on chart Real-time entry signals with strength classification Customizable alert conditions 🔄 FLEXIBLE SETTINGS: Adjustable MFI parameters Custom volume thresholds Divergence sensitivity controls Complete color customization Perfect for: Day traders, swing traders, and anyone wanting to track institutional money flow with professional-grade analytics. All calculations in percentages for instant readability and decision-making.
Pine Script® Indikator
von shak_darya23
CandelaCharts - Trend Oscillator 📝 Overview Trend Oscillator is a simple yet effective trend identification tool that uses the relationship between two exponential moving averages (EMAs) to determine market direction. It calculates the spread between a fast and slow EMA, applies a bias multiplier, and smooths the result to produce a clean oscillator that oscillates above and below a zero line. When the oscillator is above zero, the trend is considered bullish (upward); when below zero, it's bearish (downward). The indicator provides clear visual feedback through color-coded plots and optional price bar coloring, making it easy to identify trend direction at a glance. 📦 Features This section highlights the core capabilities you'll rely on most. Dual EMA system — Uses a fast EMA (default 9) and slow EMA (default 21) to capture trend momentum and direction. Bias multiplier — Applies a small multiplier (default 1.001) to the EMA spread, providing a slight bias that helps filter noise and confirm trend strength. Smoothed output — Applies an additional EMA smoothing (default 5 periods) to the raw spread, creating a cleaner, less choppy oscillator line. Zero-line reference — Plots a horizontal zero line that serves as the critical threshold between bullish and bearish conditions. Color-coded visualization — Automatically colors the oscillator line green/lime when bullish (above zero) and red when bearish (below zero). Price bar coloring — Optional feature to color price bars based on the current trend direction, providing immediate visual context on the main chart. Customizable parameters — Adjust EMA lengths, bias multiplier, smoothing period, and colors to match your trading style and timeframe. ⚙️ Settings Use these controls to fine-tune the oscillator's sensitivity, appearance, and behavior. Fast EMA Length — Period for the fast exponential moving average (default: 9). Lower values make the indicator more responsive to price changes. Slow EMA Length — Period for the slow exponential moving average (default: 21). Higher values create a smoother baseline for trend identification. Bias Multiplier — Multiplier applied to the EMA spread (default: 1.001). Small adjustments can help filter minor whipsaws and confirm trend strength. Smoothing Length — Period for smoothing the raw spread calculation (default: 5). Higher values create a smoother oscillator line but may lag price action. Colors — Set the bullish (default: lime) and bearish (default: red) colors for the oscillator line. Color Price Bars — Toggle to enable/disable coloring of price bars based on the current trend direction. ⚡️ Showcase Oscillator Line Bar Coloring Divergences 📒 Usage Follow these steps to effectively use Trend Oscillator for trend identification and trading decisions. 1) Select your timeframe — The indicator works across all timeframes, but higher timeframes (daily, weekly, monthly) typically provide more reliable trend signals with less noise. Lower timeframes (1m, 5m, 15m) may produce more frequent but potentially less reliable signals. Consider your trading style: swing traders benefit from daily/weekly charts, while day traders can use 15m/1h timeframes. Always align the indicator's sensitivity with your timeframe choice. 2) Adjust EMA lengths — The default 9/21 combination works well for most cases. For faster signals, try 5/13; for slower, more conservative signals, try 12/26 or 20/50. Match the lengths to your trading style and timeframe. 3) Interpret the zero line — When the oscillator is above zero (green/lime), the trend is bullish. When below zero (red), the trend is bearish. The further from zero, the stronger the trend. 4) Watch for crossovers — Trend changes occur when the oscillator crosses the zero line. A cross from below to above indicates a shift to bullish; from above to below indicates a shift to bearish. 5) Identify divergences — Divergences can signal potential trend reversals. Bullish divergence : price makes lower lows while the oscillator makes higher lows (suggests weakening bearish momentum). Bearish divergence : price makes higher highs while the oscillator makes lower highs (suggests weakening bullish momentum). Divergences are most reliable when they occur near extreme levels and should be confirmed with price action before taking trades. 6) Use smoothing wisely — The smoothing parameter helps reduce noise but adds lag. Lower smoothing (3-5) is more responsive; higher smoothing (7-10) is more stable but slower to react. 7) Combine with price action — Use the oscillator to confirm trend direction, then look for entry opportunities when price pulls back in the direction of the trend. The optional price bar coloring helps visualize trend alignment on the main chart. 8) Filter with bias multiplier — The bias multiplier can help reduce false signals. Experiment with values between 1.000 and 1.005 to find the sweet spot for your instrument and timeframe. 🚨 Alerts There are no built-in alerts in this version. ⚠️ Disclaimer Trading involves significant risk, and many participants may incur losses. The content on this site is not intended as financial advice and should not be interpreted as such. Decisions to buy, sell, hold, or trade securities, commodities, or other financial instruments carry inherent risks and are best made with guidance from qualified financial professionals. Past performance is not indicative of future results.
Pine Script® Indikator
von CandelaCharts
Average True Range with MAKey features ATR calculation: true range (ta.tr(true)) is smoothed using a selectable method to produce the ATR. ATR smoothing options: RMA, SMA, EMA, or WMA for the ATR calculation. MA-on-ATR: a separate moving average computed on the ATR values with its own length and smoothing method. Display controls: toggles to show/hide the ATR and the ATR MA independently. Appearance controls: separate color inputs for the ATR and the ATR MA, and a thicker line for the MA (linewidth=2). Inputs ATR Length (default 14): length used to smooth true range into the ATR. ATR Smoothing (default RMA): smoothing method applied to the true range to form ATR. MA Length (on ATR) (default 14): length for the moving average applied to the ATR series. MA Smoothing (default SMA): smoothing method used for the MA applied to ATR. Show ATR / Show ATR MA: booleans to toggle visibility. ATR Color / ATR MA Color: choose plot colors. How to interpret ATR line: shows current volatility (average true range). Rising ATR indicates increasing volatility; falling ATR indicates decreasing volatility. ATR MA line: smooths the ATR to reveal trend direction and reduce noise. Use crossovers: ATR crossing above its MA may signal volatility is picking up; ATR crossing below its MA suggests volatility is subsiding. Combine with price action or other indicators (e.g., breakout systems, position sizing rules) to make decisions based on volatility regime.
Pine Script® Indikator
von goetzjames422
Multitimeframe Stochastic RSIIndicator is Combining 4 different timeframe Stochastic RSI and show buy signal when all of them are oversold and sell signal when all of them are overbought. Default settings are set up for 15 minute timeframe: K1 - 15M (period = 14) K2 - 30M (period = 28) K3 - 1H (period = 56) K4 - 2H (period = 112) It indicates top and bottoms of given period. Its good to use as a confirmation indicator. Feel free to comment and use it. Greetings!
Pine Script® Indikator
von ELITE_TRADING_DAILY
Market Extreme Zones IndexThe Market Extreme Zones Index is a new mean reversion (valuation) tool focused on catching long term oversold/overbought zones. Combining an enhanced RSI with a smoothed Z-score this indicator allows traders to find oppurtunities during highly oversold/overbought zones. I will separate the explanation into the following parts: 1. How does it work? 2. Methodologies & Concepts 3. Use cases How does it work? The indicator attempts to catch highly unprobable events in either direction to capture reversal points over the long term. This is done by calculating the Z-Score of an enhanced RSI. First we need to calculate the Enhanced RSI: For this we need to calculate 2 additional lengths: Length1 = user defined length Length2 = Length1/2 Length3 = √Length Now we need to calculate 3 different RSIs: 1st RSI => uses classic user defined source and classic user defined length. 2nd RSI => uses classic user defined source and Length 2. 3rd RSI => uses RSI 2 as source and Length 2 Now calculate the divergence: RSI_base => 2nd RSI * 3 - 1st RSI - 3rd RSI After this we need to calculate the median of the RSI_base over √Length and make a divergence of these 2: RSI => RSI_base*2 - median All that remains now is the Z-score calculations: We need: Average RSI value Standard Deviation = a measure of how dispersed or spread out a set of data values are from their average Z-score = (Current Value - Average Value) / Standard Deviation After this we just smooth the Z-score with a Weighted Moving average with √Length Methodology & Concepts Mean Reversion Methodology: The methodology behind mean reversion is the theory that asset prices will eventually return to their long-term average after deviating significantly, driven by the belief that extreme moves are temporary. Z-Score Methodology: A Z-score, or standard score, is a statistical measure that indicates how many standard deviations a data point is from the mean of a dataset. A positive z-score means the value is above the mean, a negative score means it's below, and a score of zero means the value is equal to the mean. You might already be able to see where I am going with this: Z-Score could be used for the extreme moves to capture reversal points. By applying it to the RSI rather than the Price, we get a more accurate measurement that allow us to get a banger indicator. Use Cases Capturing reversal points Trend Direction - while the main use it for mean reversion, the values can indicate whether we are in an uptrend or a downtrend. Advantages: Visualization: The indicator has many plots to ensure users can easily see what the indicator signals, such as highlighting extreme conditions with background colors. Versatility: This indicator works across multiple assets, including the S&P500 and more, so it is not only for crypto. Final note: No indicator alone is perfect. Backtests are not indicative of future performance. Hope you enjoy Gs! Good luck!
Pine Script® Indikator
von MisinkoMaster
Range Oascilator + LessDivergences + MACD+StochRSIRange Oscillator + EMA Filter Calculates a custom oscillator based on the highest high and lowest low over a chosen period. Generates BUY signals when the oscillator crosses up from the oversold zone and price is above the EMA. Generates SELL signals when the oscillator crosses down from the overbought zone and price is below the EMA. MACD (3‑10‑16 EMA Settings) Uses fast EMA = 3, slow EMA = 10, signal EMA = 16. Detects bullish and bearish crossovers. These crossovers only trigger a single unified buy/sell signal if they coincide with Stochastic RSI being in oversold (for buy) or overbought (for sell) zones. Stochastic RSI Standard calculation with %K and %D smoothing. Defines oversold (<20) and overbought (>80) zones. Used both for divergence detection and as a filter for MACD signals. Divergence Detection RSI Divergence: Price makes a lower low but RSI makes a higher low (bullish), or price makes a higher high but RSI makes a lower high (bearish). MACD Histogram Divergence: Price makes a lower low but MACD histogram makes a higher low (bullish), or price makes a higher high but MACD histogram makes a lower high (bearish). Stochastic RSI Divergence: Similar logic applied to %K line. Divergences are flagged only once per pivot to avoid repetitive signals. Visuals EMA plotted on chart. BUY/SELL signals shown as triangles above/below bars. Divergences shown as labels (e.g., “RSI BullDiv”, “MACD BearDiv”). Unified MACD+Stoch RSI signals shown in distinct colors (lime for buy, orange for sell).
Pine Script® Indikator
von hakantugurlu77
Range Oscillator Strategy + Stoch Confirm🔹 Short summary This is a free, educational long-only strategy built on top of the public “Range Oscillator” by Zeiierman (used under CC BY-NC-SA 4.0), combined with a Stochastic timing filter, an EMA-based exit filter and an optional risk-management layer (SL/TP and R-multiple exits). It is NOT financial advice and it is NOT a magic money machine. It’s a structured framework to study how range-expansion + momentum + trend slope can be combined into one rule-based system, often with intentionally RARE trades. ──────────────────────── 0. Legal / risk disclaimer ──────────────────────── • This script is FREE and public. I do not charge any fee for it. • It is for EDUCATIONAL PURPOSES ONLY. • It is NOT financial advice and does NOT guarantee profits. • Backtest results can be very different from live results. • Markets change over time; past performance is NOT indicative of future performance. • You are fully responsible for your own trades and risk. Please DO NOT use this script with money you cannot afford to lose. Always start in a demo / paper trading environment and make sure you understand what the logic does before you risk any capital. ──────────────────────── 1. About default settings and risk (very important) ──────────────────────── The script is configured with the following defaults in the `strategy()` declaration: • `initial_capital = 10000` → This is only an EXAMPLE account size. • `default_qty_type = strategy.percent_of_equity` • `default_qty_value = 100` → This means 100% of equity per trade in the default properties. → This is AGGRESSIVE and should be treated as a STRESS TEST of the logic, not as a realistic way to trade. TradingView’s House Rules recommend risking only a small part of equity per trade (often 1–2%, max 5–10% in most cases). To align with these recommendations and to get more realistic backtest results, I STRONGLY RECOMMEND you to: 1. Open **Strategy Settings → Properties**. 2. Set: • Order size: **Percent of equity** • Order size (percent): e.g. **1–2%** per trade 3. Make sure **commission** and **slippage** match your own broker conditions. • By default this script uses `commission_value = 0.1` (0.1%) and `slippage = 3`, which are reasonable example values for many crypto markets. If you choose to run the strategy with 100% of equity per trade, please treat it ONLY as a stress-test of the logic. It is NOT a sustainable risk model for live trading. ──────────────────────── 2. What this strategy tries to do (conceptual overview) ──────────────────────── This is a LONG-ONLY strategy designed to explore the combination of: 1. **Range Oscillator (Zeiierman-based)** - Measures how far price has moved away from an adaptive mean. - Uses an ATR-based range to normalize deviation. - High positive oscillator values indicate strong price expansion away from the mean in a bullish direction. 2. **Stochastic as a timing filter** - A classic Stochastic (%K and %D) is used. - The logic requires %K to be below a user-defined level and then crossing above %D. - This is intended to catch moments when momentum turns up again, rather than chasing every extreme. 3. **EMA Exit Filter (trend slope)** - An EMA with configurable length (default 70) is calculated. - The slope of the EMA is monitored: when the slope turns negative while in a long position, and the filter is enabled, it triggers an exit condition. - This acts as a trend-protection exit: if the medium-term trend starts to weaken, the strategy exits even if the oscillator has not yet fully reverted. 4. **Optional risk-management layer** - Percentage-based Stop Loss and Take Profit (SL/TP). - Risk/Reward (R-multiple) exit based on the distance from entry to SL. - Implemented as OCO orders that work *on top* of the logical exits. The goal is not to create a “holy grail” system but to serve as a transparent, configurable framework for studying how these concepts behave together on different markets and timeframes. ──────────────────────── 3. Components and how they work together ──────────────────────── (1) Range Oscillator (based on “Range Oscillator (Zeiierman)”) • The script computes a weighted mean price and then measures how far price deviates from that mean. • Deviation is normalized by an ATR-based range and expressed as an oscillator. • When the oscillator is above the **entry threshold** (default 100), it signals a strong move away from the mean in the bullish direction. • When it later drops below the **exit threshold** (default 30), it can trigger an exit (if enabled). (2) Stochastic confirmation • Classic Stochastic (%K and %D) is calculated. • An entry requires: - %K to be below a user-defined “Cross Level”, and - then %K to cross above %D. • This is a momentum confirmation: the strategy tries to enter when momentum turns up from a pullback rather than at any random point. (3) EMA Exit Filter • The EMA length is configurable via `emaLength` (default 70). • The script monitors the EMA slope: it computes the relative change between the current EMA and the previous EMA. • If the slope turns negative while the strategy holds a long position and the filter is enabled, it triggers an exit condition. • This is meant to help protect profits or cut losses when the medium-term trend starts to roll over, even if the oscillator conditions are not (yet) signalling exit. (4) Risk management (optional) • Stop Loss (SL) and Take Profit (TP): - Defined as percentages relative to average entry price. - Both are disabled by default, but you can enable them in the Inputs. • Risk/Reward Exit: - Uses the distance from entry to SL to project a profit target at a configurable R-multiple. - Also optional and disabled by default. These exits are implemented as `strategy.exit()` OCO orders and can close trades independently of oscillator/EMA conditions if hit first. ──────────────────────── 4. Entry & Exit logic (high level) ──────────────────────── A) Time filter • You can choose a **Start Year** in the Inputs. • Only candles between the selected start date and 31 Dec 2069 are used for backtesting (`timeCondition`). • This prevents accidental use of tiny cherry-picked windows and makes tests more honest. B) Entry condition (long-only) A long entry is allowed when ALL the following are true: 1. `timeCondition` is true (inside the backtest window). 2. If `useOscEntry` is true: - Range Oscillator value must be above `entryLevel`. 3. If `useStochEntry` is true: - Stochastic condition (`stochCondition`) must be true: - %K < `crossLevel`, then %K crosses above %D. If these filters agree, the strategy calls `strategy.entry("Long", strategy.long)`. C) Exit condition (logical exits) A position can be closed when: 1. `timeCondition` is true AND a long position is open, AND 2. At least one of the following is true: - If `useOscExit` is true: Oscillator is below `exitLevel`. - If `useMagicExit` (EMA Exit Filter) is true: EMA slope is negative (`isDown = true`). In that case, `strategy.close("Long")` is called. D) Risk-management exits While a position is open: • If SL or TP is enabled: - `strategy.exit("Long Risk", ...)` places an OCO stop/limit order based on the SL/TP percentages. • If Risk/Reward exit is enabled: - `strategy.exit("RR Exit", ...)` places an OCO order using a projected R-multiple (`rrMult`) of the SL distance. These risk-based exits can trigger before the logical oscillator/EMA exits if price hits those levels. ──────────────────────── 5. Recommended backtest configuration (to avoid misleading results) ──────────────────────── To align with TradingView House Rules and avoid misleading backtests: 1. **Initial capital** - 10 000 (or any value you personally want to work with). 2. **Order size** - Type: **Percent of equity** - Size: **1–2%** per trade is a reasonable starting point. - Avoid risking more than 5–10% per trade if you want results that could be sustainable in practice. 3. **Commission & slippage** - Commission: around 0.1% if that matches your broker. - Slippage: a few ticks (e.g. 3) to account for real fills. 4. **Timeframe & markets** - Volatile symbols (e.g. crypto like BTCUSDT, or major indices). - Timeframes: 1H / 4H / **1D (Daily)** are typical starting points. - I strongly recommend trying the strategy on **different timeframes**, for example 1D, to see how the behaviour changes between intraday and higher timeframes. 5. **No “caution warning”** - Make sure your chosen symbol + timeframe + settings do not trigger TradingView’s caution messages. - If you see warnings (e.g. “too few trades”), adjust timeframe/symbol or the backtest period. ──────────────────────── 5a. About low trade count and rare signals ──────────────────────── This strategy is intentionally designed to trade RARELY: • It is **long-only**. • It uses strict filters (Range Oscillator threshold + Stochastic confirmation + optional EMA Exit Filter). • On higher timeframes (especially **1D / Daily**) this can result in a **low total number of trades**, sometimes WELL BELOW 100 trades over the whole backtest. TradingView’s House Rules mention 100+ trades as a guideline for more robust statistics. In this specific case: • The **low trade count is a conscious design choice**, not an attempt to cherry-pick a tiny, ultra-profitable window. • The goal is to study a **small number of high-conviction long entries** on higher timeframes, not to generate frequent intraday signals. • Because of the low trade count, results should NOT be interpreted as statistically strong or “proven” – they are only one sample of how this logic would have behaved on past data. Please keep this in mind when you look at the equity curve and performance metrics. A beautiful curve with only a handful of trades is still just a small sample. ──────────────────────── 6. How to use this strategy (step-by-step) ──────────────────────── 1. Add the script to your chart. 2. Open the **Inputs** tab: - Set the backtest start year. - Decide whether to use Oscillator-based entry/exit, Stochastic confirmation, and EMA Exit Filter. - Optionally enable SL, TP, and Risk/Reward exits. 3. Open the **Properties** tab: - Set a realistic account size if you want. - Set order size to a realistic % of equity (e.g. 1–2%). - Confirm that commission and slippage are realistic for your broker. 4. Run the backtest: - Look at Net Profit, Max Drawdown, number of trades, and equity curve. - Remember that a low trade count means the statistics are not very strong. 5. Experiment: - Tweak thresholds (`entryLevel`, `exitLevel`), Stochastic settings, EMA length, and risk params. - See how the metrics and trade frequency change. 6. Forward-test: - Before using any idea in live trading, forward-test on a demo account and observe behaviour in real time. ──────────────────────── 7. Originality and usefulness (why this is more than a mashup) ──────────────────────── This script is not intended to be a random visual mashup of indicators. It is designed as a coherent, testable strategy with clear roles for each component: • Range Oscillator: - Handles mean vs. range-expansion states via an adaptive, ATR-normalized metric. • Stochastic: - Acts as a timing filter to avoid entering purely on extremes and instead waits for momentum to turn. • EMA Exit Filter: - Trend-slope-based safety net to exit when the medium-term direction changes against the position. • Risk module: - Provides practical, rule-based exits: SL, TP, and R-multiple exit, which are useful for structuring risk even if you modify the core logic. It aims to give traders a ready-made **framework to study and modify**, not a black box or “signals” product. ──────────────────────── 8. Limitations and good practices ──────────────────────── • No single strategy works on all markets or in all regimes. • This script is long-only; it does not short the market. • Performance can degrade when market structure changes. • Overfitting (curve fitting) is a real risk if you endlessly tweak parameters to maximise historical profit. Good practices: - Test on multiple symbols and timeframes. - Focus on stability and drawdown, not only on how high the profit line goes. - View this as a learning tool and a basis for your own research. ──────────────────────── 9. Licensing and credits ──────────────────────── • Core oscillator idea & base code: - “Range Oscillator (Zeiierman)” - © Zeiierman, licensed under CC BY-NC-SA 4.0. • Strategy logic, Stochastic confirmation, EMA Exit Filter, and risk-management layer: - Modifications by jokiniemi. Please respect both the original license and TradingView House Rules if you fork or republish any part of this script. ──────────────────────── 10. No payments / no vendor pitch ──────────────────────── • This script is completely FREE to use on TradingView. • There is no paid subscription, no external payment link, and no private signals group attached to it. • If you have questions, please use TradingView’s comment system or private messages instead of expecting financial advice. Use this script as a tool to learn, experiment, and build your own understanding of markets. ──────────────────────── 11. Example backtest settings used in screenshots ──────────────────────── To avoid any confusion about how the results shown in screenshots were produced, here is one concrete example configuration: • Symbol: BTCUSDT (or similar major BTC pair) • Timeframe: 1D (Daily) • Backtest period: from 2018 to the most recent data • Initial capital: 10 000 • Order size type: Percent of equity • Order size: 2% per trade • Commission: 0.1% • Slippage: 3 ticks • Risk settings: Stop Loss and Take Profit disabled by default, Risk/Reward exit disabled by default • Filters: Range Oscillator entry/exit enabled, Stochastic confirmation enabled, EMA Exit Filter enabled If you change any of these settings (symbol, timeframe, risk per trade, commission, slippage, filters, etc.), your results will look different. Please always adapt the configuration to your own risk tolerance, market, and trading style.
Pine Script® Strategie
von jokiniemi
Swing Trade AL/SAT + Güç Derecesi_huğurlu Weak signal → MACD crossover only. Moderate signal → MACD crossover + RSI confirmation. Strong signal → MACD crossover + RSI + Stoch RSI confirmation. BUY/SELL labels appear on the chart in different colors and sizes. This way, you can instantly see which signal is more reliable. Zayıf sinyal → sadece MACD kesişim var Orta sinyal → MACD kesişim + RSI teyidi. Güçlü sinyal → MACD kesişim + RSI + Stoch RSI teyidi.
Pine Script® Indikator
von hakantugurlu77
3
Stochastic RSI - WT Confluence Signal Detectors (TraderDemircan)Description What This Indicator Does: This indicator combines two powerful momentum oscillators—WaveTrend and Stochastic RSI—to identify high-probability trading signals through confluence. Instead of relying on a single indicator that may generate false signals, this tool only triggers buy/sell alerts when both oscillators simultaneously confirm extreme market conditions and trend reversals. This confluence approach significantly reduces noise and helps traders focus on the most reliable setups. Key Features: Dual-Oscillator Confluence: Generates signals only when both WaveTrend crossovers and Stochastic RSI extreme levels align Normalized Scale Display: Both oscillators are plotted on a unified -100 to +100 scale for easy visual comparison Visual Signal Confirmation: Clear intersection points marked with colored circles, plus optional candle coloring at crossover moments Customizable Thresholds: Adjust overbought/oversold levels for both oscillators to match your trading style and asset volatility Clean Visual Presentation: Optional area fill showing WaveTrend momentum difference, making divergences easier to spot How It Works: The indicator operates on a confluence principle where multiple conditions must align: For BUY Signals (Green): WaveTrend 1 crosses above WaveTrend 2 (bullish crossover) WaveTrend is in oversold territory (below -53 or -60) Stochastic RSI K-line is below 20 (oversold) For SELL Signals (Red): WaveTrend 1 crosses below WaveTrend 2 (bearish crossover) WaveTrend is in overbought territory (above 53 or 60) Stochastic RSI K-line is above 80 (overbought) WaveTrend Component: Uses the hlc3 price (average of high, low, close) to calculate a channel index that identifies market momentum waves. The two WaveTrend lines (WT1 and WT2) act similarly to MACD, where crossovers indicate momentum shifts. The oscillator ranges from approximately -100 to +100, with extreme values suggesting potential reversals. Stochastic RSI Component: Applies stochastic calculations to RSI values rather than raw price, creating a more sensitive momentum indicator. Values above 80 indicate overbought conditions (potential selling opportunity), while values below 20 indicate oversold conditions (potential buying opportunity). The indicator includes both K-line (faster) and D-line (slower, smoothed) for additional confirmation. Normalization Technology: To enable direct visual comparison, the Stochastic RSI (normally 0-100 scale) is normalized to match WaveTrend's -100 to +100 scale. This allows traders to see both oscillators' movements in relation to the same reference levels, making divergences and convergences more apparent. How to Use: For Trend Traders: Wait for confluence signals in the direction of the larger trend Use buy signals in uptrends as entry points during pullbacks Use sell signals in downtrends as entry points during bounces For Reversal Traders: Focus on confluence signals at major support/resistance levels Look for divergences between price and oscillators before confluence signals Consider stronger signals when both oscillators reach extreme levels (WT beyond ±60, Stoch beyond 20/80) For Scalpers: Lower the WaveTrend Channel Length (default 10) to 5-7 for more frequent signals Tighten overbought/oversold thresholds slightly (e.g., WT: ±50, Stoch: 30/70) Use on lower timeframes (5m, 15m) with strict stop losses Settings Guide: WaveTrend Parameters: Channel Length (10): Controls sensitivity. Lower = more signals but more noise. Higher = fewer but more reliable signals Average Length (21): Smoothing period for WT2. Higher values reduce whipsaws Overbought Levels (60/53): Two-tier system. Breaching 60 indicates strong overbought, 53 is moderate Oversold Levels (-60/-53): Mirror of overbought levels for downside extremes Stochastic RSI Parameters: K-Smooth (3): Smoothing for the K-line. Higher = smoother but delayed D-Smooth (3): Additional smoothing for the D-line signal RSI Period (14): Standard RSI calculation period Stoch Period (14): Stochastic calculation lookback Oversold (20) / Overbought (80): Classic thresholds for extreme conditions Visual Options: Show WT Difference Area: Displays the momentum difference between WT1 and WT2 as a blue shaded area Show WT Intersection Points: Marks crossover points with colored circles (red for bearish, green for bullish) Color Candles at Intersection: Changes candle colors at crossover moments (blue for bearish, yellow for bullish) Show Stoch Over Signals: Displays when Stochastic RSI breaches extreme levels What Makes This Original: While WaveTrend and Stochastic RSI are established indicators, this script's originality lies in: Confluence Logic: The specific combination requiring simultaneous confirmation from both oscillators in extreme zones, not just simple crossovers Normalization Approach: Displaying both oscillators on the same -100 to +100 scale for direct visual comparison, which is not standard Multi-Tier Overbought/Oversold: Using two levels (60/53) instead of one, allowing for nuanced signal strength assessment Integrated Visual System: Combining area fills, intersection markers, and candle coloring in a coordinated display that shows momentum flow at a glance Important Considerations: This is a momentum-based oscillator system, which performs best in ranging or trending markets with clear swings In strong trending markets, the oscillator may remain in extreme zones for extended periods (remain overbought during strong uptrends, oversold during strong downtrends) Confluence signals are intentionally rare to maintain quality—expect fewer signals than with single-indicator systems Always combine with price action analysis, support/resistance levels, and proper risk management Not recommended for extremely low volatility or thin markets where oscillators may produce erratic readings Best Timeframes: Intraday: 15m, 1H (with tighter parameters) Swing Trading: 4H, Daily (with default parameters) Position Trading: Daily, Weekly (with extended Channel Length 15-20) Typical Use Cases: Identifying exhaustion points in trending markets Timing entries during pullbacks in established trends Spotting potential reversal zones at key price levels Filtering out weak momentum signals during consolidation
Pine Script® Indikator
von TraderDemircan_
DAO - Demand Advanced Oscillator# DAO - Demand Advanced Oscillator ## 📊 Overview DAO (Demand Advanced Oscillator) is a powerful momentum oscillator that measures buying and selling pressure by analyzing consecutive high-low relationships. It helps identify market extremes, divergences, and potential trend reversals. **Values range from 0 to 1:** - **Above 0.70** = Overbought (potential reversal down) - **Below 0.30** = Oversold (potential reversal up) - **0.30 - 0.70** = Neutral zone --- ## ✨ Key Features ✅ **Automatic Divergence Detection** - Bullish divergences (price lower low + DAO higher low) - Bearish divergences (price higher high + DAO lower high) - Visual lines connecting divergence points ✅ **Multi-Timeframe Analysis** - View higher timeframe DAO on current chart - Perfect for trend alignment strategies ✅ **Signal Line (EMA)** - Customizable EMA for trend confirmation - Crossover signals for momentum shifts ✅ **Real-Time Statistics Dashboard** - Current DAO value - Market status (Overbought/Oversold/Neutral) - Trend direction indicator ✅ **Complete Alert System** - Overbought/Oversold signals - Bullish/Bearish divergences - Signal line crosses - Level crosses ✅ **Fully Customizable** - Adjustable periods and levels - Customizable colors and zones - Toggle features on/off --- ## 📈 Trading Signals ### 1. Divergences (Most Powerful) **Bullish Divergence:** - Price makes lower low - DAO makes higher low - Signal: Strong reversal up likely **Bearish Divergence:** - Price makes higher high - DAO makes lower high - Signal: Strong reversal down likely ### 2. Overbought/Oversold **Overbought (>0.70):** - Market may be overextended - Consider taking profits or looking for shorts - Can remain overbought in strong trends **Oversold (<0.30):** - Market may be oversold - Consider buying opportunities - Can remain oversold in strong downtrends ### 3. Signal Line Crossovers **Bullish Cross:** - DAO crosses above signal line - Momentum turning positive **Bearish Cross:** - DAO crosses below signal line - Momentum turning negative ### 4. Level Crosses **Cross Above 0.30:** Exiting oversold zone (potential uptrend) **Cross Below 0.70:** Exiting overbought zone (potential downtrend) --- ## ⚙️ Default Settings 📊 Oscillator Period: 14 Number of bars for calculation 📈 Signal Line Period: 9 EMA period for signal line 🔴 Overbought Level: 0.70 Upper threshold 🟢 Oversold Level: 0.30 Lower threshold 🎯 Divergence Detection: ON Auto divergence identification ⏰ Multi-Timeframe: OFF Higher TF overlay (optional) All parameters are fully customizable! --- ## 🔔 Alerts Six pre-configured alerts available: 1. DAO Overbought 2. DAO Oversold 3. DAO Bullish Divergence 4. DAO Bearish Divergence 5. DAO Signal Cross Up 6. DAO Signal Cross Down **Setup:** Right-click indicator → Add Alert → Choose condition --- ## 💡 How to Use ### Best Practices: ✅ Focus on divergences (strongest signals) ✅ Combine with support/resistance levels ✅ Use multiple timeframes for confirmation ✅ Wait for price action confirmation ✅ Practice proper risk management ### Avoid: ❌ Trading on indicator alone ❌ Fighting strong trends ❌ Ignoring market context ❌ Overtrading ### Recommended Settings by Trading Style: **Day Trading:** Period 7-10, All alerts ON **Swing Trading:** Period 14-21, Divergence alerts **Scalping:** Period 5-7, Signal crosses **Position Trading:** Period 21-30, Weekly/Daily TF --- ## 🌍 Markets & Timeframes **Works on all markets:** - Forex (all pairs) - Stocks (all exchanges) - Cryptocurrencies - Commodities - Indices - Futures **Works on all timeframes:** 1m to Monthly --- ## 📊 How It Works DAO calculates the ratio of buying pressure to total market pressure: 1. **Calculate Buying Pressure (DemandMax):** - If current high > previous high: DemandMax = difference - Otherwise: DemandMax = 0 2. **Calculate Selling Pressure (DemandMin):** - If previous low > current low: DemandMin = difference - Otherwise: DemandMin = 0 3. **Apply Smoothing:** - Calculate SMA of DemandMax over N periods - Calculate SMA of DemandMin over N periods 4. **Final Formula:** ``` DAO = SMA(DemandMax) / (SMA(DemandMax) + SMA(DemandMin)) ``` This produces a normalized value (0-1) representing market demand strength. --- ## 🎯 Trading Strategies ### Strategy 1: Divergence Trading - Wait for divergence label - Confirm at support/resistance - Enter on confirming candle - Stop loss beyond recent swing - Target: opposite level or 0.50 ### Strategy 2: Overbought/Oversold - Best for ranging markets - Wait for extreme readings - Enter on reversal from extremes - Target: middle line (0.50) ### Strategy 3: Trend Following - Identify trend direction first - Use DAO to time entries in trend direction only - Enter on pullbacks to oversold (uptrend) or overbought (downtrend) - Trade with the trend ### Strategy 4: Multi-Timeframe - Enable MTF feature - Trade only when both timeframes align - Higher TF = trend direction - Lower TF = precise entry --- ## 📂 Category **Primary:** Oscillators **Secondary:** Statistics, Volatility, Momentum --- ## 🏷️ Tags dao, oscillator, momentum, overbought-oversold, divergence, reversal, demand-indicator, price-exhaustion, statistics, volatility, forex, stocks, crypto, multi-timeframe, technical-analysis --- ## ⚠️ Disclaimer **This indicator is for educational purposes only.** It does not constitute financial advice. Trading involves substantial risk of loss. Always conduct your own research, use proper risk management, and consult with financial professionals before making trading decisions. Past performance does not guarantee future results. --- ## 📄 License Open source - Free to use for personal trading, modify as needed, and share with attribution. --- **Version:** 1.0 **Status:** Production Ready ✅ **Pine Script:** v5 **Trademark-Free:** 100% Safe to Publish --- *Made with 💙 for traders worldwide*
Pine Script® Indikator
von kostyanius
Trendlines with Breaks Oscillator [LuxAlgo]The Trendlines with Breaks Oscillator is an oscillator based on the Trendlines with Breaks indicator, and tracks the maximum distance on price from bullish and bearish trendline breakouts. The oscillator features divergences and trendline breakout detection. 🔶 USAGE This tool is based on our Trendlines with Breaks indicator, which detects bullish and bearish trendlines and highlights the breaks on the chart. Now, we bring you this tool as an oscillator. The oscillator calculates the maximum distance between the price and the break of each trendline, for both bullish and bearish cases, then calculates the delta between both. When the oscillator is above 0, the market is in an uptrend; when it is below 0, it is in a downtrend. An ascending slope indicates positive momentum, and a descending slope indicates negative momentum. Trendline breaks are displayed as green and red dots on the oscillator. A green dot corresponds to a bullish break of a descending trendline, and a red dot corresponds to a bearish break of an ascending trendline. The oscillator calculation depends on two parameters from the settings panel: short and long alpha length. These parameters are used to calculate a synthetic EMA with a variable alpha for both bullish and bearish breaks. The final result is the difference between the two averages. As shown in the image, using the same trend detection parameters but different alphas can produce very different results. The larger the alphas, the smoother the oscillator becomes, detecting bigger trends but making it less reactive. This tool features the same trendline detection system as the Trendlines with Breaks indicator, which is based on three main parameters: swing length, slope, and calculation method. As we can see in the image above, the data collected for the oscillator calculation will be different when using different parameters. A larger length detects larger trends. A larger slope or a different calculation method also impacts the final result. 🔹 Signal Line The signal line is a smoothed version of the oscillator; traders can choose the smoothing method and length used from the settings panel. In the image, the signal line crossings are displayed as vertical lines. As we can see, the market usually corrects downward after a bearish crossing and corrects upward after a bullish crossing. Traders can choose among 10 different smoothing methods for the signal line. In the image, we can see how different methods and lengths give different outputs. 🔹 Divergences The tool features a divergence detector that helps traders understand the strength behind price movements. Traders can adjust the detection length from the settings panel. As shown in the image, a bearish divergence occurs when the price prints higher highs, but the momentum on the histogram prints lower highs. A bullish divergence occurs when the price prints lower lows, but the histogram prints higher lows. By adjusting the length of the divergence detector, traders can filter out smaller divergences, allowing the tool to only detect more significant ones. The image above depicts divergences detected with different lengths; the larger the length, the bigger the divergences are detected. 🔶 SETTINGS 🔹 Trendlines Swing Detection Lookback: The size of the market structure used for trendline detection. Slope: Slope steepness, a value of 0 gives horizontal levels, values larger than 1 give a steeper slope Slope Calculation Method: Choose how the slope is calculated 🔹 Oscillator Short Alpha Length: Synthetic EMA short period Long Alpha Length: Synthetic EMA long period Smoothing Signal: Choose the smoothing method and period Divergences: Enable or disable divergences and select the detection length. 🔹 Style Bullish: Select bullish color. Bearish: Select bearish color.
Pine Script® Indikator
von LuxAlgo
7