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Yasser Multiple Inside Bar Breakout SignalsDescription Yasser Multiple Inside Bar Breakout Signals (Yasser_MIB) is a powerful TradingView indicator designed to detect high-probability breakout setups based on multiple inside bar (MIB) formations. Inside bar breakouts often precede strong market moves, making this tool ideal for traders who rely on price action, volatility compression, and breakout trading strategies. 🔑 Key Features: ✅ Automatic MIB Detection – Identifies and counts consecutive inside bars. ✅ Breakout Signals – Generates BUY/SELL signals upon valid breakout of the mother bar. ✅ Custom Risk:Reward Settings – Adjustable risk-to-reward ratio with built-in Stop Loss (SL) and Take Profit (TP) levels. ✅ ATR-based Stop Loss (Optional) – Dynamic volatility-based risk management. ✅ Trend Filter – Optional EMA filter to trade only in the trend direction. ✅ Visual Clarity – Mother bar levels, inside bar marks, entry/SL/TP lines, and breakout highlights. ✅ Alerts Ready – Receive instant alerts for MIB setups and breakouts. This indicator is suitable for Forex, Stocks, Indices, Commodities, and Crypto markets across multiple timeframes. Whether you are a trend trader or a breakout trader, Yasser_MIB provides a structured approach to capture explosive market moves with disciplined risk management. 📂 Categories Indicators Technical Analysis Price Action Breakout Strategies Risk Management 🏷 Tags inside bar multiple inside bar MIB breakout price action mother bar breakout strategy trend filter EMA filter ATR stop loss risk reward forex trading crypto trading stocks commodities indices Yasser indicators
مؤشر Pine Script®
من ‎Yasser_Mahmoud‎
Kalman Ema Crosses - [JTCAPITAL]Kalman EMA Crosses - is a modified way to use Kalman Filters applied on Exponential Moving Averages (EMA Crosses) for Trend-Following. The Kalman filter is a recursive smoothing algorithm that reduces noise from raw price or indicator data, and in this script it is applied both directly to price and on top of EMA calculations. The goal is to create cleaner, more reliable crossover signals between two EMAs that are less prone to false triggers caused by volatility or market noise. The indicator works by calculating in the following steps: Source Selection The script starts by selecting the price input (default is Close, but can be adjusted). This chosen source is the foundation for all further smoothing and EMA calculations. Kalman Filtering on Price Depending on user settings, the selected source is passed through one of two independent Kalman filters. The filter takes into account process noise (representing expected market randomness) and measurement noise (representing uncertainty in the price data). The Kalman filter outputs a smoothed version of price that minimizes noise and preserves underlying trend structure. EMA Calculation Two exponential moving averages (EMA 1 and EMA 2) are then computed on the Kalman-smoothed price. The lengths of these EMAs are fully customizable (default 15 and 25). Kalman Filtering on EMA Values Instead of directly using raw EMA curves, the script applies a second layer of Kalman filtering to the EMA values themselves. This step significantly reduces whipsaw behavior, creating smoother crossovers that emphasize real momentum shifts rather than temporary volatility spikes. Trend Detection via EMA Crossovers -A bullish trend is detected when EMA 1 (fast) crosses above EMA 2 (slow). -A bearish trend is detected when EMA 1 crosses below EMA 2. The detected trend state is stored and used to dynamically color the plots. Visual Representation Both EMAs are plotted on the chart. Their colors shift to blue during bullish phases and purple during bearish phases. The area between the two EMAs is filled with a shaded region to clearly highlight trending conditions. Buy and Sell Conditions : - Buy Condition : When the Kalman-smoothed EMA 1 crosses above the Kalman-smoothed EMA 2, a bullish crossover is confirmed. - Sell Condition : When EMA 1 crosses below EMA 2, a bearish crossover is confirmed. Users may enhance the robustness of these signals by adjusting process noise, measurement noise, or EMA lengths. Lower measurement noise values make the filter react faster (but potentially noisier), while higher values make it smoother (but slower). Features and Parameters : - Source : Selectable price input (Close, Open, High, Low, etc.). - EMA 1 Length : Defines the fast EMA period. - EMA 2 Length : Defines the slow EMA period. - Process Noise : Controls how much randomness the Kalman filter assumes in price dynamics. - Measurement Noise : Controls how much uncertainty is assumed in raw input data. - Kalman Usage : Option to apply Kalman filtering either before EMA calculation (on price) or after (on EMA values). Specifications : Kalman Filter The Kalman filter is an optimal recursive algorithm that estimates the state of a system from noisy measurements. In trading, it is used to smooth prices or indicator values. By balancing process noise (expected volatility) with measurement noise (data uncertainty), it generates a smoothed signal that reacts adaptively to market conditions. Exponential Moving Average (EMA) An EMA is a weighted moving average that emphasizes recent data more heavily than older data. This makes it more responsive than a simple moving average (SMA). EMAs are widely used to identify trends and momentum shifts. EMA Crossovers The crossing of a fast EMA above a slow EMA suggests bullish momentum, while the opposite suggests bearish momentum. This is a cornerstone technique in trend-following systems. Dual Kalman Filtering Applying Kalman both to raw price and to the EMAs themselves reduces whipsaws further. It creates crossover signals that are not only smoothed but also validated across two levels of noise reduction. This significantly enhances signal reliability compared to traditional EMA crossovers. Process Noise Represents the filter’s assumption about how much the underlying market can randomly change between steps. Higher values make the filter adapt faster to sudden changes, while lower values make it more stable. Measurement Noise Represents uncertainty in price data. A higher measurement noise value means the filter trusts the model more than the observed data, leading to smoother results. A lower value makes the filter more reactive to observed price fluctuations. Trend Coloring & Fill The use of dynamic colors and filled regions provides immediate visual recognition of trend states, helping traders act faster and with greater clarity. Enjoy!
مؤشر Pine Script®
من ‎JTCapitalNL‎
4
TEWMA Supertrend - [JTCAPITAL]TEWMA Supertrend - is a modified way to use Triple Exponential Weighted Moving Average (TEWMA) combined with ATR-based Supertrend logic for Trend-Following. The idea behind this indicator is to merge the smoothness and responsiveness of TEWMA with the robustness of ATR-based Supertrend volatility filtering. This results in a tool that not only reacts quickly to price changes but also adapts to market volatility, providing reliable trend detection with reduced noise. The indicator works by calculating in the following steps: Source Selection The user can select the price source (default is Close). This price series is the foundation of all calculations, and changing the source allows the indicator to adapt to different analytical perspectives, such as Open, High, Low, or HL2. TEWMA Calculation The script calculates a Weighted Moving Average (WMA) of the selected source, and then applies a Triple Exponential Moving Average (TEMA) smoothing on top of it. The result is what we call TEWMA. This hybrid method achieves two goals simultaneously: -WMA adds sensitivity by giving more weight to recent data. -TEMA reduces lag by combining multiple EMA calculations while keeping smoothness. ATR Volatility Measurement In parallel, the Average True Range (ATR) is calculated over the user-defined Supertrend length . ATR measures volatility and dynamically scales the upper and lower bands to adjust to different market conditions. Upper and Lower Band Construction The indicator builds two envelopes around the TEWMA: - Upper Band = TEWMA + (Multiplier × ATR) - Lower Band = TEWMA – (Multiplier × ATR) These bands expand and contract depending on volatility, creating a dynamic channel. Band Adjustment Logic To prevent false flips, the current upper/lower band values are compared to their previous values. If price has not broken above or below the prior band, the bands “stick” to their previous values, thereby filtering noise and avoiding unnecessary trend changes. Trend Detection -If price closes above the adjusted upper band, the direction is bullish. -If price closes below the adjusted lower band, the direction is bearish. -Otherwise, the trend direction continues from its prior state. The Trend line is then set to either the upper band (bearish) or lower band (bullish). Visual Representation -The TEWMA line itself is plotted and color-coded (blue for bullish, purple for bearish). -The active Supertrend line is plotted depending on trend direction. -Shaded regions are added around the lines for enhanced clarity, visually separating bullish and bearish phases. Buy and Sell Conditions : - Buy Signal : Triggered when price closes above the Supertrend line, confirming a bullish shift. - Sell Signal : Triggered when price closes below the Supertrend line, confirming a bearish shift. Features and Parameters : - TEWMA Source – Select the input price (Close, Open, High, Low, etc.). - TEWMA Length – Defines the lookback for the Weighted MA and subsequent TEMA smoothing. - Supertrend Length – Defines the ATR period used for volatility measurement. - Multiplier – Determines how far the Supertrend bands are placed from the TEWMA. Higher values mean wider bands and fewer trend flips, while lower values mean tighter bands and more frequent signals. Specifications : Weighted Moving Average (WMA) The WMA gives more importance to recent price points while still considering past values. This makes it more responsive to recent moves than a Simple Moving Average (SMA). Triple Exponential Moving Average (TEMA) TEMA reduces lag by combining multiple layers of EMA calculations. Unlike a simple EMA, which can be slow to react, TEMA anticipates changes faster, while still maintaining smoothness to avoid false signals. TEWMA (TEMA of WMA) By applying TEMA on top of WMA, we create a hybrid smoothing technique. This retains the responsiveness of WMA but reduces its lag via TEMA’s structure. The result is a highly adaptive moving average, ideal for fast trend detection. Average True Range (ATR) ATR measures the degree of volatility by looking at the full trading range of each candle. It ensures that the Supertrend bands expand in volatile markets and contract in calm markets, keeping signals relevant to current conditions. Supertrend Bands The upper and lower envelopes built around TEWMA act as dynamic support and resistance. Their adaptive nature reduces false trend shifts during choppy sideways markets. Band Adjustment Logic Instead of recalculating bands every candle, the script uses a memory mechanism (previous values) to prevent unnecessary trend switches. This stabilizes the indicator and avoids excessive noise. Trend Line The final output is a line that follows price in trending phases while holding steady during consolidations. Its placement above or below price clearly signals bullish or bearish market structure. Color Coding and Visuals The use of shaded fills and line coloring enhances readability. Traders can quickly distinguish trend direction and momentum without deep numerical analysis. Enjoy!
مؤشر Pine Script®
من ‎JTCapitalNL‎
2
Quantura - Quantified Price Action StrategyIntroduction “Quantura – Quantified Price Action Strategy” is an invite-only Pine Script strategy designed to combine multiple price action concepts into a single trading framework. It integrates supply and demand zones, liquidity sweeps and runs, fair value gaps (FVGs), RSI filters, and EMA trend confirmation. The strategy also provides a visual overlay with dynamic trend-colored candles for easier chart interpretation. It is intended for multi-market use across cryptocurrencies, Forex, equities, and indices. Originality & Value The strategy is original in how it unifies several institutional-style price action elements and validates trades only when they align. This reduces noise compared to using single indicators in isolation. Its unique value lies in the combination of: Supply & Demand detection: Dynamic boxes identified through pivots, ATR, and volume sensitivity. Liquidity sweeps and runs: Detects when swing highs/lows are broken and retested, distinguishing between liquidity grabs (sweeps) and directional runs. RSI filter: Can be set to normal or aggressive, confirming momentum before trades. Fair Value Gaps (FVGs): Optional detection and filtering of price inefficiencies. EMA filter: Aligns trades with the broader market trend. Trend candle visualization: Candles dynamically colored bullish, bearish, or neutral, based on strategy positions. This layered confluence approach ensures that entries are not taken on a single condition but require agreement across several dimensions of market structure, momentum, and order flow. Functionality & Indicators Supply & Demand Zones: Zones are created when pivots, ATR sensitivity, and volume thresholds overlap. Liquidity: Swing highs and lows are tracked, with options for sweep (fakeout/reversal) or run (continuation) detection. RSI: Confirms long signals when oversold and shorts when overbought, with configurable aggressiveness. FVG filter: Adds validation by requiring price interaction with inefficiency zones. EMA filter: Ensures longs are above EMA and shorts below EMA. Signals & Visualization: Trade entries are marked on the chart, while candles change color to reflect trade direction and status. Parameters & Customization Supply & Demand: Sensitivity (swing range, volume multiplier, ATR multiplier) and display options. Liquidity filter: Mode (Run or Sweep), display, and swing length. RSI: Enable/disable, length, and style (normal or aggressive). Fair Value Gaps: Sensitivity via ATR factor, optional volume filter, and display toggles. EMA: Length, enable/disable, and visualization. Risk management: Up to three configurable take-profit levels, stop-loss, break-even logic, and capital-based position sizing. Visualization: Custom candle coloring and optional overlay for better clarity. Default Properties (Strategy Settings) Initial Capital: 10,000 USD Position Size: 100% of equity per trade (backtest default) Commission: 0.1% Slippage: 1 Pyramiding: 0 (only one position at a time) Note: The default of 100% equity per trade is used for testing purposes only and would not be sustainable in real trading. A typical allocation in practice would be between 1–5% of account equity per trade, sometimes up to 10%. Backtesting & Performance Backtests on XPTUSD over 2.5 years with the default settings produced: 129 trades 73.64% win rate Profit factor: 2.6 Maximum drawdown: 18.2% These results show how the confluence of supply/demand, liquidity, and RSI filters can produce robust setups. However, past performance does not guarantee future results. While the trade count (129) is sufficient for statistical analysis, results may vary across markets and timeframes. Risk Management Three configurable take-profit levels with percentage allocation. Initial stop-loss based on user-defined percentage. Dynamic stop-loss that adjusts with market movement. Break-even logic that shifts stops to entry after predefined gains. Position sizing based on risk percentage of equity. This framework allows both conservative and aggressive configurations, depending on user preference. Limitations & Market Conditions Works best in volatile and liquid markets such as crypto, metals, indices, and FX. May produce false signals in low-volume or sideways environments. Unexpected news or macro events can override technical conditions. Default position sizing of 100% equity is highly aggressive and should be reduced before any practical use. Usage Guide Add “Quantura – Quantified Price Action Strategy” to your chart. Select Supply & Demand, Liquidity, RSI, EMA, and FVG settings according to your market and timeframe. Configure risk management: take-profits, stop-loss, and risk-per-trade percentage. Use the Strategy Tester to analyze statistics, equity curve, and performance under different conditions. Optimize parameters before applying the strategy to different markets. Author & Access Developed 100% by Quantura. Published as an Invite-Only script. Access is available upon request via the Author’s Instructions field. Important This description complies with TradingView’s publishing rules. It clarifies originality, explains the underlying logic, discloses default properties, and presents backtest results with realistic disclaimers.
استراتيجية Pine Script®
من ‎Quantura‎
BB Crosses Optimized - [JTCAPITAL]BB Crosses Optimized - is a modified way to use Bollinger Bands combined with volatility filtering (ATR) and flexible smoothing methods for Trend-Following. The indicator works by calculating in the following steps: Source Selection & Smoothing The script begins by letting the user select a preferred price source (default is Close, but options include Open, High, Low, HL2, etc.). This raw input is then passed through a smoothing process. Multiple smoothing techniques can be chosen: SMA, EMA, HMA, DEMA, TEMA, RMA, and FRAMA. Each method reduces short-term noise differently, ensuring flexibility for traders who prefer faster or slower reaction speeds in trend detection. Bollinger Band Construction Once the smoothed source is prepared, Bollinger Bands are calculated. The middle band is a moving average of the smoothed data over the defined BB Period . The upper and lower bands are then generated by adding and subtracting the Standard Deviation × Deviation multiplier . These dynamic bands capture volatility and help define breakout zones. ATR Volatility Measurement Parallel to the band calculation, the Average True Range (ATR) is computed over the chosen ATR Period . This measures market volatility. The ATR can optionally act as a filter, refining buy and sell levels so signals adapt to current market conditions rather than being fixed to price alone. Bollinger Band Signals -If the smoothed price closes above the upper band, a potential bullish event is marked. -If the smoothed price closes below the lower band, a potential bearish event is marked. Trend Line Construction When a bullish event occurs, the script anchors a trend-following line beneath price. If ATR filtering is enabled, the line is set at Low – ATR , otherwise at the simple Low. Conversely, when a bearish event occurs, the line is anchored above price at High + ATR (or just High without the filter). The line is designed to only move in the direction of the trend—if price action does not exceed the prior value, the previous level is held. This prevents unnecessary whipsaws and keeps the indicator aligned with dominant momentum. Final Trend Detection The slope of the trend line defines the trend itself: -Rising line → bullish trend. -Falling line → bearish trend. Visual Output The indicator plots the trend line with dynamic coloring: Blue for bullish phases, Purple for bearish phases. A subtle filled background area emphasizes the active trend zone for clearer chart interpretation. Buy and Sell Conditions: - Buy Signal : Triggered when smoothed price closes above the upper Bollinger Band. Trend line then anchors below price (with or without ATR offset depending on settings). - Sell Signal : Triggered when smoothed price closes below the lower Bollinger Band. Trend line then anchors above price (with or without ATR offset). Additional filtering is possible via: - ATR Toggle : Switch ATR on or off to adapt the strategy to either volatile or steady markets. - Smoothing Method : Adjust smoothing to speed up or slow down responsiveness. - Deviation Multiplier : Tight or wide bands adjust the sensitivity of signals. Features and Parameters: - Source : Choose between Close, Open, High, Low, HL2, etc. - Average Type : Options include SMA, EMA, HMA, DEMA, TEMA, RMA, FRAMA. - ATR Period : Defines how ATR volatility is measured. - BB Period : Lookback length for Bollinger Band construction. - Deviation : Multiplier for the standard deviation in Bollinger Bands. - Smoothing Period : Controls how much the source data is smoothed. - ATR Filter On/Off : Enables or disables ATR integration in signal calculation. Specifications: Smoothing (MA Types) Smoothing is essential to reduce chart noise. By offering multiple MA choices, traders can balance between lag (SMA, RMA) and responsiveness (EMA, HMA, FRAMA). This flexibility allows the indicator to adapt across asset classes and trading styles. Bollinger Bands Bollinger Bands measure price deviation around a moving average. They help identify volatility expansion and contraction. In this script, the bands serve as breakout triggers—price crossing outside suggests momentum strong enough to sustain a trend. Standard Deviation Standard Deviation is a statistical measure that quantifies the dispersion of price data around the mean. With a multiplier applied, it creates bands that contain a probabilistic portion of price action. Crossing beyond these suggests a higher likelihood of trend continuation. ATR (Average True Range) ATR measures the degree of volatility. Instead of simply reacting to price crossing the bands, ATR ensures the trend line placement adapts to current conditions. In volatile markets, wider buffers prevent premature signals; in calmer markets, tighter placement keeps signals responsive. Trend Line Logic The trend line only adjusts in the direction of the trend. If new values do not exceed the prior, the line remains unchanged. This prevents false reversals and makes the line a reliable visual confirmation of trend direction. Signal Detection The indicator does not repaint: signals are based on confirmed closes relative to the Bollinger Bands. This makes it more reliable for both live trading and backtesting scenarios. Visual Enhancements The use of dual plots and fill shading creates a clearer separation of bullish vs. bearish phases. This helps traders visually align entries and exits without second-guessing. Enjoy!
مؤشر Pine Script®
من ‎JTCapitalNL‎
Yasser Buy/Sell Signal Indicator 001Coded by: Yasser Mahmoud (YWMAAAWORLD): For any assistance contact me at: yarm.global@gmail.com # 🚀 **EMA Trend & Signal Indicator - The Ultimate Anti-Chop Trading System** ## **Finally! An Indicator That Eliminates False Signals and Maximizes Trending Profits** Are you tired of getting whipsawed in choppy markets? Frustrated by indicators that give you 10 signals when you need just 1 good one? **This changes everything.** --- ## 🎯 **What Makes This Indicator Revolutionary?** ### **🔥 INNOVATIVE 7-FILTER CONFIRMATION SYSTEM** This isn't just another EMA crossover indicator. It's a **complete trading system** that combines: ✅ **Multi-EMA Trend Analysis** (8, 13, 21, 50, 200 EMAs) ✅ **Volume Surge Detection** (1.5x average volume confirmation) ✅ **RSI Momentum Filter** (Avoids overbought/oversold traps) ✅ **EMA Slope Confirmation** (All short-term EMAs must align) ✅ **Advanced Anti-Chop Technology** (Patent-pending 5-filter system) ### **🚫 REVOLUTIONARY ANTI-CHOP FILTERS** **The game-changer that separates amateurs from professionals:** 1. **Trend Strength Analyzer** - Measures EMA separation strength 2. **EMA Bunching Detector** - Prevents signals when EMAs are too close 3. **Market Structure Scanner** - Identifies genuine trending vs ranging markets 4. **Enhanced Volatility Filter** - Waits for sufficient market movement 5. **Smart Chop Detection** - Multi-timeframe chopiness analysis **Result: 3 out of 5 filters must pass = Only HIGH-PROBABILITY setups trigger signals!** --- ## 📈 **TRADING RULES - COPY & PASTE STRATEGY** ### **🟢 BUY SIGNALS (Long Entry)** **When ALL conditions align:** - Price above 50 EMA **AND** 50 EMA above 200 EMA (Uptrend confirmed) - 8 EMA > 13 EMA > 21 EMA (Perfect alignment) - Volume > 1.5x average (Institutional participation) - RSI between 50-70 (Bullish momentum, not overbought) - All EMA slopes positive (True trending, not fake breakout) - Anti-Chop Score ≥ 3/5 (Market conditions suitable) **📍 Entry:** When green "BUY" label appears **🛡️ Stop Loss:** Below nearest swing low or 50 EMA **🎯 Take Profit:** 2:1 or 3:1 risk/reward ratio ### **🔴 EXIT BUY SIGNALS (Risk Management)** **Automatic protection when:** - EMAs lose perfect alignment (8>13>21 breaks) - Trend remains intact but short-term weakness detected **📍 Action:** Exit position when "EXIT BUY" appears **💡 Strategy:** Wait for "BUY" signal to re-enter if trend continues ### **🟥 SELL SIGNALS (Short Entry)** **Mirror logic for downtrends:** - Price below 50 EMA **AND** 50 EMA below 200 EMA - 8 EMA < 13 EMA < 21 EMA (Perfect bearish alignment) - Same volume, RSI, and anti-chop confirmations ### **🔸 EXIT SELL SIGNALS** **Smart exit when bearish alignment breaks** --- ## 💰 **PROFIT-MAXIMIZING FEATURES** ### **📊 REAL-TIME STATUS DASHBOARD** Never guess market conditions again! Live display shows: - Current trend direction - Signal state (BUY/SELL/EXIT/NONE) - EMA alignment status - Volume surge detection - RSI level with color coding - Anti-chop score (X/5) - **Signal quality assessment** ### **🎨 CLEAN VISUAL SYSTEM** - **Large, clear text labels** (no tiny arrows to miss) - **Color-coded status panel** (optimized for white backgrounds) - **Only long-term EMAs visible** (reduces chart clutter) - **Smart sizing** (signals visible but not overwhelming) ### **🔔 BUILT-IN ALERTS** Set and forget! Get notified instantly when: - New BUY/SELL signals trigger - EXIT signals protect your profits - All confirmations align for high-probability setups --- ## 🏆 **WHY TRADERS CHOOSE THIS OVER EVERYTHING ELSE** ### ❌ **OTHER INDICATORS:** - Give signals in every market condition - Generate 50+ signals per day (analysis paralysis) - No differentiation between high/low probability setups - Leave you guessing about market structure ### ✅ **THIS SYSTEM:** - **Selective Excellence** - Only 3-7 high-quality signals per week - **Built-in Intelligence** - Automatically avoids choppy markets - **Complete Transparency** - Shows you exactly why each signal triggers - **Professional Grade** - Used by institutional-level confirmation methods --- ## 🎓 **PERFECT FOR:** ✅ **Swing Traders** - Clean entries on major trend moves ✅ **Day Traders** - High-probability intraday setups ✅ **Position Traders** - Long-term trend following ✅ **Beginners** - Clear, unambiguous signals with built-in education ✅ **Professionals** - Advanced filtering reduces noise, maximizes edge --- ## ⚡ **QUICK SETUP GUIDE** 1. **Add indicator to chart** 2. **Enable all default filters** (optimized settings included) 3. **Watch the status panel** - Wait for Chop Score ≥ 3/5 4. **Enter on BUY/SELL signals** - Exit on EXIT signals 5. **Profit from trending moves** while avoiding choppy losses! --- ## 🌟 **THE BOTTOM LINE** **Stop fighting the market. Start trading WITH institutional-grade intelligence.** This isn't just an indicator - it's your **competitive advantage** in a market where 90% of traders lose money due to poor timing and choppy market entries. **Join the 10% who consistently profit by trading only when conditions are optimal.** --- ### 🔥 **"Finally, an indicator that thinks like a professional trader - selective, patient, and deadly accurate when it matters most."** **Download now and experience the difference between trading signals and trading INTELLIGENCE.** *Results may vary. Past performance does not guarantee future results. Always use proper risk management.*
مؤشر Pine Script®
من ‎Yasser_Mahmoud‎
1
SZN - Altcoin OscillatorSZN Altcoin Oscillator – Identify Market Phases with Precision What is the SZN Altcoin Oscillator? The SZN Altcoin Oscillator is a multi-layered analysis indicator specifically developed for the altcoin market. It combines different signal groups (trend, relative strength, volume, market environment, and overheating filters) into a unified oscillator in the 0–100 range. --> The goal is to make major market movements visible while separating short-term fluctuations from broader trends. Why not just use RSI or MACD? Classic single indicators like RSI or MACD often react too sensitively to short-term fluctuations. This leads to many false signals – especially during volatile altcoin phases. --> The SZN Altcoin Oscillator solves this problem by combining and filtering multiple signal sources. --> This smooths out overreactions and identifies true trend movements more reliably. ----- How does it work? The oscillator consists of five signal groups: Price & Trend Momentum checks the relative position of fast and slow moving averages detects whether an altcoin is in a confirmed uptrend or downtrend Relative Strength vs. Bitcoin & Ethereum measures performance compared to the two market leaders shows whether capital is rotating into altcoins or staying in majors Volume and Breakout Filter detects whether breakouts are confirmed by increased volume prevents short “fakeouts” from appearing as buy signals Market Environment (Regime Filter) includes overall market data such as BTC dominance or TOTAL3 ensures that buy signals only trigger in suitable market phases Overheating & Oversold Filter marks statistically extreme zones upward cross from oversold → buy signal downward cross from overheated → sell signal --> All results are displayed in a 0–100 oscillator. Buy signal: upward cross from oversold zones Sell signal: downward cross from overheated zones ----- Variants (selection in the settings menu) The indicator offers 5 preconfigured variants, optimized for different altcoin groups: Default The neutral standard configuration – balanced between sensitivity and stability. Suitable for a wide range of altcoins with medium to large market capitalization. Large Caps More conservative parameters with stronger smoothing. Designed for established projects (Top 20), where trends develop more slowly but with higher reliability. Mid Caps A balanced approach for mid-sized market caps. More sensitive than the Large-Cap variant, but filters more noise than the Small-Cap settings. Small Caps Higher sensitivity, optimized for more volatile coins (Top 100–200). Detects dynamic moves faster, but with higher risk of false signals. Meme Coins Adapted for highly speculative tokens. Accounts for extreme volatility and shorter cycles to better highlight overheating phases. --> This allows each user to select the variant best suited to the asset category being analyzed. ----- Recommended Usage Timeframe: Daily chart (highest precision). For very new projects, the 8h chart can be used. Asset selection: Coins with sufficient history (at least 200 trading days). ----- Interpretation: Oscillator rising from oversold → potential bottom / upward trend reversal Oscillator falling from overheated → potential top / profit-taking zone Movements in between indicate interim rallies or correction phases The indicator is not a day-trading tool, but optimized for cyclical moves and swing trading. ----- Notes: The SZN Altcoin Oscillator is an additional analysis tool and does not replace independent trading decisions. All signals are probabilistic; there is no guarantee of profits. Effectiveness depends on the specific altcoin and the current market phase. The indicator provides insights into broader market phases, not short-term price moves.
مؤشر Pine Script®
من ‎SZN_Labs‎
Multi-TF 👀### Multi-Timeframe Analysis (MTF-Analysis) **Overview** The Multi-Timeframe Analysis indicator is a powerful visualization tool designed for traders who incorporate multi-timeframe (MTF) strategies into their decision-making process. It overlays compact, customizable candle representations from up to four higher timeframes directly on your chart, positioned to the right of the last bar for quick reference. This allows you to monitor price action, momentum via EMAs, and key levels like Fair Value Gaps (FVGs) across multiple resolutions without switching charts. Built with efficiency in mind, it supports automatic timeframe detection, real-time updates, and a clean, non-intrusive design that enhances your trading workflow. Ideal for day traders, swing traders, and scalpers, this indicator helps identify alignments between timeframes, spot potential reversals or continuations, and validate entries/exits based on higher-timeframe context. It leverages Pine Script v6 for smooth performance, with optimizations to handle up to 5000 bars back and extensive drawing limits. **Key Features** - **Multi-Timeframe Candle Display**: Renders recent candles (configurable from 5 to 100 per timeframe) from selected higher timeframes (e.g., 5m, 15m, 1H, 4H) as compact bars with customizable width, spacing, and padding. Bullish and bearish candles are color-coded for instant recognition. - **Automatic Timeframe Adaptation**: When enabled, the indicator intelligently selects complementary timeframes based on your chart's resolution (e.g., on a 1m chart, it might show 5m, 15m, and 1H). Manual overrides are available for full control. - **EMA Overlays**: Plots EMA9, EMA21, and EMA50 on each MTF section using a user-defined source (e.g., OHLC/4, close). EMAs can be dashed for clarity and enabled/disabled per timeframe, helping to gauge momentum and trend strength. - **Fair Value Gaps (FVGs)**: Detects bullish (+FVG) and bearish (-FVG) gaps with a configurable lookback length (5-50 bars). Gaps are visualized as dotted boxes extending from the candle, highlighting potential support/resistance zones or imbalances. - **Time Labels and Debugging**: Displays timestamp labels under every fourth candle for chronological context. A debug mode expands spacing and adds detailed labels (e.g., OHLC, volume, EMA values) for testing and verification. - **Customization Options**: Extensive inputs for colors (bodies, wicks, EMAs, FVGs), label sizes/styles, and layout ensure seamless integration with your chart theme. Supports futures symbols with a time offset adjustment. - **Performance Optimizations**: Uses arrays for efficient data management, clears drawings on realtime updates or timeframe changes, and limits buffer sizes to prevent overload. **How to Use** 1. Add the indicator to your chart via TradingView's "Indicators" menu. 2. Configure timeframes: Enable/disable up to four TFs and set the number of candles to display. Use "Auto Timeframe" for smart defaults. 3. Adjust EMAs: Select the source type and toggle per TF to focus on relevant momentum signals (e.g., EMA9 crossovers for short-term trades). 4. Enable FVGs: Activate per TF and tweak the length to suit your market (shorter for volatile assets, longer for trends). 5. Fine-tune appearance: Modify padding, candle width, and colors to avoid clutter. Use debug mode during setup. 6. Interpret: Align your chart's price action with MTF candles—look for confluence in trends, FVGs filling as support/resistance, or EMA alignments for high-probability setups. **Input Settings** - **General**: Hour offset for time adjustments (useful for futures). - **Timeframes**: Enable TFs 1-4, select resolutions (e.g., "5m"), and set candle counts. Auto mode simplifies this. - **FVG/iFVG**: Toggle per TF, customize colors and detection length. - **EMA**: Enable per TF, choose source, colors, and dashed style. - **Candle Appearance**: Bull/bear colors for bodies/wicks, width/spacing/padding, label size/color. - **Debug**: Expands view for detailed inspection. **Notes** - This indicator is non-repainting and updates in realtime, but performance may vary on lower timeframes with many candles—reduce counts if needed. - FVGs are calculated locally on recent bars for efficiency; historical gaps beyond the buffer aren't shown. - Compatible with all symbols, but best on volatile markets like forex, crypto, or indices. - Feedback welcome—updates may include more MA types or advanced FVG filters. Enhance your edge with multi-timeframe insights—try MTF-Analysis today!
مؤشر Pine Script®
من ‎nepolix‎
Multi Timeframe BOS & rBOSThis is the same Multi-Timeframe Break of Structure and Market Structure Shift posted by Lenny_Kiruthu. However, the only difference is the naming of Market Structure Shift to rBOS (Break of Structure Reverse). To me, they are all break of structures when previous peaks or valleys are violated. The only difference is in sequence. Once a sequence of BOS reverses, then a new sequence begins. To me, this simplifies the various terminology incorporated by different systems such as ICT or SMT which adds unnecessary complexity. eT
مؤشر Pine Script®
من ‎CheapTricks‎
2
Estimated Manipulation Movement Signal [AlgoPoint]Follow the Footprints of Whale Movements That Drive the Market Overview The market is not always driven by natural supply and demand. Large players—often called "whales" or institutions—can create artificial price movements to trigger stop-losses, induce panic or FOMO, and build their large positions at favorable prices. These events are known as "stop hunts" or "liquidity grabs." The EMMS indicator is a specialized tool designed to detect these specific moments of potential market manipulation. It does not follow trends in a traditional sense; instead, it identifies high-probability reversal points created by the calculated actions of Smart Money trapping other market participants. How It Works: The 3-Module Logic The indicator uses a multi-stage confirmation process to identify a potential stop hunt: 1. Anomaly Detection: The engine first scans the chart for "Anomaly Candles." These are candles with unusually high volume and a very long wick relative to their body. This combination signals a sudden, forceful, and potentially unnatural price push. 2. Liquidity Zone Detection: The indicator automatically identifies and tracks recent significant swing highs and lows. These levels are considered "Liquidity Zones" because they are areas where a large number of stop-loss orders are likely clustered. These are the "hunting grounds" for whales. 3. The Stop Hunt Signal: A final signal is generated only when these two events align in a specific sequence: An Anomaly Candle (high volume, long wick) spikes through a previously identified Liquidity Zone. The same candle then reverses, closing back inside the previous price range. This sequence confirms that the move was likely a "trap" designed to engineer liquidity, and a reversal in the opposite direction is now highly probable. How to Interpret & Use This Indicator BUY Signal: A BUY signal appears after a sharp price drop that pierces a recent swing low (taking out the stops of long positions) and then aggressively reverses to close higher. This suggests that Smart Money has absorbed the panic selling they just induced. The signal indicates a potential move UP. SELL Signal: A SELL signal appears after a sharp price spike that pierces a recent swing high (taking out the stops of short positions) and then aggressively reverses to close lower. This suggests that Smart Money has sold into the FOMO buying they just created. The signal indicates a potential move DOWN. This indicator is best used as a high-probability confirmation tool, ideally in conjunction with your understanding of the overall market trend and structure.
مؤشر Pine Script®
من ‎Iamalala‎
7
3CRGANG - SUPPLY/DEMAND ZONESOverview The "3CRGANG - SUPPLY/DEMAND ZONES" indicator is a sophisticated tool designed to identify, classify, and visualize dynamic supply (resistance) and demand (support) zones on your TradingView charts. It goes beyond basic level plotting by incorporating a state-based system that tracks how zones evolve based on price interactions, helping traders anticipate potential reversals, continuations, or breakdowns at key levels. Zones are categorized into states like Untested, Verified, Weak, Flipped, and Broken, providing contextual insights into their strength and reliability. This indicator is particularly useful for swing traders, scalpers, and position traders who rely on price action around institutional levels, as it filters noise and highlights actionable zones with customizable alerts and visual aids. Built on Pine Script v6, it overlays directly on your chart with semi-transparent boxes for zones, optional labels for quick reference, and alert triggers for zone tests. The invite-only access ensures users benefit from its proprietary enhancements, making it a premium alternative to generic zone indicators. How It's Built: Core Concepts and Calculations At its foundation, the indicator detects potential supply and demand zones using a fractal-based pivot detection method, which identifies local highs and lows by comparing a central bar's price to surrounding bars within a validation window. This window is dynamically adjusted via a "Fractal Sensitivity Factor" (default 6.0), which scales the lookback period relative to your chart's timeframe—ensuring zones adapt to market volatility without over- or under-fitting. For example, on a 15-minute chart, this might equate to checking 18-24 bars around a candidate pivot for confirmation. Once a fractal pivot is confirmed: Zone Boundaries: The zone is constructed around the pivot high/low, extended by a fraction of the Average True Range (ATR, period 7) using the "Zone Boundary ATR Multiplier" (default 0.3). This creates a band that accounts for typical price fluctuations, preventing overly tight or loose zones. A subtle "Zone Fuzz Factor" (default 0.15) adds a minor buffer to the ATR-derived extension, allowing for fine-tuning in choppy markets without altering the core range. Merging Overlaps: To avoid clutter, overlapping zones of the same type (or flipped counterparts) are intelligently merged through up to 2-3 passes (configurable via "Max Merge Passes"). This consolidation increases the "test count" for the resulting zone, reflecting cumulative price rejections and enhancing its perceived strength. Zone Testing and Classification: Price interactions with zones are evaluated using one of two methods: Dynamic - Bars: Counts tests when price wicks into the zone from outside or closes out after entering, with a minimum gap (0-2 bars) to prevent rapid-fire counts in ranging markets. Mechanical - Pivots: Enhances the dynamic method by requiring a mechanical pivot (e.g., via TradingView's built-in pivothigh/pivotlow) within the zone during the test, adding a layer of confirmation for more conservative signals. Tests are tallied with a "Weak Zone Test Threshold" (default 1), classifying zones as: Untested: No interactions yet—fresh levels with high potential. Weak: 1 or fewer meaningful tests—early signals that may fade. Verified: Multiple tests (above threshold)—strong, repeatedly respected levels. Flipped: A broken zone that reverses role (e.g., resistance becomes support), based on a decisive close beyond the boundary. Broken: Permanently invalidated by a strong breakout, optionally displayed for historical context. Time and Session Integration: Zones are timestamped and limited to a "Back Limit" (default 500 bars) for performance. It incorporates a custom holiday library (importing from RotemB's LIBRARY_3CRGANG_Holidays_Library) to detect closures across major exchanges (NYSE, LSE, FSE, SSX, TSE, HKSE), adjusting session times for half-days and full holidays. Alerts are filtered by user-selected sessions, weekends, and a "Do Not Disturb" (DND) mode with timezone-aware scheduling (e.g., UTC+3 Jerusalem default, selectable from 90+ global options). This combination of fractal detection, ATR-based sizing, multi-pass merging, and test-driven state evolution draws from classic supply/demand principles but refines them with proprietary logic to handle real-world market dynamics, such as volatility clustering and institutional session biases. Why It’s Useful Supply and demand zones are foundational to price action trading, representing areas where large orders accumulate and cause reversals or pauses. This indicator streamlines the process by automating zone discovery and maintenance, saving time compared to manual drawing. Its state system adds predictive value: Verified zones often signal high-probability bounces, while Flipped ones highlight role reversals for trend continuation trades. Alerts notify you of tests in real-time, ideal for multi-chart monitoring, and session/holiday filters reduce false signals during low-liquidity periods (e.g., no alerts on Christmas for NYSE-linked assets). Traders benefit from reduced emotional bias—zones "age out" beyond the back limit, focusing on recent action—and customizable visuals prevent chart overload. In volatile markets like forex or crypto, the ATR-adjusted boundaries adapt better than fixed-percentage methods, while the test count helps gauge exhaustion (e.g., over-tested Weak zones may signal impending breaks). Overall, it enhances decision-making by providing not just levels, but their evolving context. How to Use It Add to Chart: Search for "3CRGANG - SUPPLY/DEMAND ZONES" in TradingView's invite-only scripts (access required). Apply to any timeframe from 1-minute to yearly, though it shines on intraday (15M-4H) for active trading. Configure Inputs: Test Mode: Choose "Dynamic - Bars" for sensitive, wick-focused testing or "Mechanical - Pivots" for stricter, pivot-confirmed interactions. Adjust "Minimum Test Gap" (0-2) to filter rapid tests and "Weak Zone Test Threshold" (1-3) to define strength tiers. Pivot Filters: Tune "Fractal Sensitivity Factor" (5-14) for fewer/more zones—higher values for smoother trends, lower for chop. Zone Width: Set "Zone Boundary ATR Multiplier" (0-1) for tighter/wider bands; use "Zone Fuzz Factor" (0-1) sparingly for boundary tweaks. Visual: Select zone style (Solid/Dashed/Dotted), linewidth (1-3), and horizontal extension (None/Right/Both). Toggle visibility per state (e.g., hide Broken for cleaner charts). Labels: Enable "Show Labels" for state/type info; add "Show Zone Size" (in pips/$) and "Show Test Count" for details. Adjust shift for positioning. Alerts: Enable per state (Untested/Weak/Verified/Flipped). Filter by sessions (e.g., enable NYSE for US equities), holidays, weekends, and DND (set time ranges in your timezone to mute notifications). Colors: Customize per state/type for intuitive visuals (e.g., red shades for resistance). Trading Application: Entries: Buy at Verified Demand (green) tests, sell at Verified Supply (red). Use Flipped zones for breakout confirmation. Exits/Risk: Place stops beyond zone boundaries; trail profits on Weak/Flipped signals indicating fading strength. Alerts Setup: In TradingView's alert dialog, select this indicator and configure for "alert() function calls only" to receive zone-test notifications. Multi-Timeframe: View higher-TF zones on lower charts for confluence (e.g., daily zones on 1H). Best Practices: Combine with volume or oscillators; backtest on your asset to optimize sensitivity. Chart Example: XAG/USD (m5 timeframe) Chart Notes The chart displays zones on XAGUSD (M5 timeframe), presenting a clear price action structure with three distinct zones. A green Verified Support zone, marked with a translucent green box, indicates a robust demand level that has been tested multiple times and held firm. A blue Weak Support zone, outlined with a lighter blue box, reflects a less-tested support level with fewer rejections, suggesting lower reliability. A gold Flipped Resistance zone, highlighted with a golden box, initially acted as a resistance with rejections before breaking through and retesting as a support zone, showcasing its transition. Labels appear to the right of each zone, displaying details such as "VERIFIED SUPPORT (6.72 points, T=3)" for the Verified zone, "WEAK SUPPORT (6.9 points, T=1)" for the Weak zone, and "FLIPPED SUPPORT (3.85 points, T=10)" for the Flipped zone, with sizes in dollars (or pips if under $1) and test counts included. Zones extend horizontally to the right based on the user-defined shift setting, with customizable dashed or dotted borders for enhanced visual clarity. Requires 500 bars of history for optimal performance. Alerts are muted during holidays (e.g., Lunar New Year) or Do Not Disturb periods. Settings Test Mode: Choose method (Dynamic - Bars or Mechanical - Pivots), set minimum test gap (0-2 bars), and weak zone threshold (1-3 tests). General: Adjust back limit (250-1000 bars). Pivot Filters: Set fractal sensitivity factor (5-14) and max merge passes (1-3). Zone Width: Define ATR multiplier (0-1) and fuzz factor (0-1). Visual: Select zone style (Solid, Dashed, Dotted), line width (1-3), shift end right (1-50 bars), and extension (None, Right, Both). Visibility: Toggle display for each state (Untested, Verified, Weak, Flipped, Broken). Labels: Enable labels, set shift (1-50 bars), size, and show size/test counts. Alerts: Enable alerts by state (Untested, Weak, Verified, Flipped). DND Settings: Set timezone, Do Not Disturb hours, and weekend alerts. Sessions Alerts: Filter alerts by exchange (NYSE, LSE, etc.) and holiday settings. Colors: Assign colors to each zone state and type. Why It's Unique and Worth Invite-Only Access While supply/demand indicators exist, this one stands out through its integrated ecosystem: adaptive fractal pivots with sensitivity scaling, multi-pass overlap merging that preserves test history, and a nuanced state machine that evolves zones based on configurable test mechanics—far beyond simple high/low plotting or basic breakouts. The proprietary blending of ATR fuzzing, retroactive test validation during zone creation, and global exchange holiday/session filtering (with half-day adjustments) minimizes irrelevant alerts, a common pain point in public scripts. It doesn't rely solely on built-ins or educational code; instead, it enhances them with custom logic for zone lifecycle management, making it resilient across assets and timeframes. This originality justifies its closed-source nature—revealing the full interplay of fractal windowing, merge algorithms, and alert conditioning could dilute its edge. As an invite-only script, it provides clear value through premium features like timezone-aware DND, comprehensive holiday integration (e.g., Lunar New Year for HKSE), and state-aware alerts, which aren't replicated in free alternatives. Traders seeking an efficient, low-noise tool for institutional-level analysis will find it worth the access, as it delivers actionable insights that generic indicators overlook. Disclaimer This indicator assists in zone identification but does not guarantee success. Trading involves risk, and past performance is not indicative of future results. Always use proper risk management.
مؤشر Pine Script®
من ‎RotemB‎
2
⚪ Liquidity Spike Marker Description: The Liquidity Spike Marker indicator helps to identify abnormal bursts of liquidity in the market. The logic is based on comparing the product of the volume by the minimum candle price (Volume × Low) with the threshold value set by the user. When the value exceeds the threshold, a white triangle appears under the candle, indicating a possible influx of liquidity. This can help traders pay attention to the key points where large participants may enter the market. Features: Displays a placemark (⚪ white triangle) when the threshold is exceeded. Configurable parameter Volume × Low Threshold. The ability to set an alert for automatic notification. A lightweight and minimalistic tool without unnecessary elements. Note: The indicator is not a trading recommendation. Use it in combination with your own trading system and other analysis methods.
مؤشر Pine Script®
من ‎Zdorman‎
Market Pressure Oscillator█ OVERVIEW The Market Pressure Oscillator is an advanced technical indicator for TradingView, enabling traders to identify potential trend reversals and momentum shifts through candle-based pressure analysis and divergence detection. It combines a smoothed oscillator with moving average signals, overbought/oversold levels, and divergence visualization, enhanced by customizable gradients, dynamic band colors, and alerts for quick decision-making. █ CONCEPT The indicator measures buying or selling pressure based on candle body size (open-to-close difference) and direction, with optional smoothing for clarity and divergence detection between price action and the oscillator. It relies solely on candle data, offering insights into trend strength, overbought/oversold conditions, and potential reversals with a customizable visual presentation. █ WHY USE IT? - Divergence Detection: Identifies bullish and bearish divergences to reinforce signals, especially near overbought/oversold zones. - Candle Pressure Analysis: Measures pressure based on candle body size, normalized to a ±100 scale. - Signal Generation: Provides buy/sell signals via overbought/oversold crossovers, zero-line crossovers, moving average zero-line crossovers, and dynamic band color changes. - Visual Clarity: Uses dynamic colors, gradients, and fill layers for intuitive chart analysis. Flexibility: Extensive settings allow customization to individual trading preferences. █ HOW IT WORKS? - Candle Pressure Calculation: Computes candle body size as math.abs(close - open), normalized against the average body size over a lookback period (avgBody = ta.sma(body, len)). - Candle direction (bullish: +1, bearish: -1, neutral: 0) is multiplied by body weight to derive pressure. - Cumulative Pressure: Sums pressure values over the lookback period (Lookback Length) and normalizes to ±100 relative to the maximum possible value. - Smoothing: Optionally applies EMA (Smoothing Length) to normalized pressure. - Moving Average: Calculates SMA (Moving Average Length) for trend confirmation (Moving Average (SMA)). - Divergence Detection: Identifies bullish/bearish divergences by comparing price and oscillator pivot highs/lows within a specified range (Pivot Length). Divergence signals appear with a delay equal to the Pivot Length. - Signals: Generates signals for: Crossing oversold upward (buy) or overbought downward (sell). Crossing the zero line by the oscillator or moving average (buy/sell). Bullish/bearish divergences, marked with labels, enhancing signals, especially near overbought/oversold zones. Dynamic band color changes when the moving average crosses MA overbought/oversold thresholds (green for oversold, red for overbought). - Visualization: Plots the oscillator and moving average with dynamic colors, gradient fills, transparent bands, and labels, with customizable overbought/oversold levels. Alerts: Built-in alerts for divergences, overbought/oversold crossovers, and zero-line crossovers (oscillator and moving average). █ SETTINGS AND CUSTOMIZATION - Lookback Length: Period for aggregating candle pressure (default: 14). - Smoothing Length (EMA): EMA length for smoothing the oscillator (default: 1). Higher values smooth the signal but may reduce signal frequency; adjust overbought/oversold levels accordingly. - Moving Average Length (SMA): SMA length for the moving average (default: 14, minval=1). Higher values make SMA a trend indicator, requiring adjusted MA overbought/oversold levels. - Pivot Length (Left/Right): Candles for detecting pivot highs/lows in divergence calculations (default: 2, minval=1). Higher values reduce noise but add delay equal to the set value. - Enable Divergence Detection: Enables divergence detection (default: true). - Overbought/Oversold Levels: Thresholds for the oscillator (default: 30/-30) and moving average (default: 10/-10). For the moving average, no arrows appear; bands change color from gray to green (oversold) or red (overbought), reinforcing entry signals. - Signal Type: Select signals to display: "None", "Overbought/Oversold", "Zero Line", "MA Zero Line", "All" (default: "Overbought/Oversold"). - Colors and Gradients: Customize colors for bullish/bearish oscillator, moving average, zero line, overbought/oversold levels, and divergence labels. - Transparency: Adjust gradient fill transparency (default: 70, minval=0, maxval=100) and band/label transparency (default: 40, minval=0, maxval=100) for consistent visuals. - Visualizations: Enable/disable moving average, gradients for zero/overbought/oversold levels, and gradient fills. █ USAGE EXAMPLES - Momentum Analysis: Observe the MPO Oscillator above 0 for bullish momentum or below 0 for bearish momentum. The SMA, being smoother, reacts slower and can confirm trend direction as a noise filter. - Reversal Signals: Look for buy triangles when the oscillator crosses oversold upward, especially when the SMA is below the MA oversold threshold and the band turns green. Similarly, seek sell triangles when crossing overbought downward, with the SMA above the MA overbought threshold and the band turning red. - Using Divergences: Treat bullish (green labels) and bearish (red labels) divergences as reinforcement for other signals, especially near overbought/oversold zones, indicating stronger potential trend reversals. - Customization: Adjust lookback length, smoothing, and moving average length to specific instruments and timeframes to minimize false signals. █ USER NOTES Combine the indicator with tools like Fibonacci levels or pivot points to enhance accuracy. Test different settings for lookback length, smoothing, and moving average length on your chosen instrument and timeframe to find optimal values.
مؤشر Pine Script®
من ‎Uncle_the_shooter‎
Hosoda’s CloudsMany investors aim to develop trading systems with a high win rate, mistakenly associating it with substantial profits. In reality, high returns are typically achieved through greater exposure to market trends, which inevitably lowers the win rate due to increased risk and more volatile conditions. The system I present, called “Hosoda’s Clouds” in honor of Goichi Hosoda , the creator of the Ichimoku Kinko Hyo indicator, is likely one of the first profitable systems many traders will encounter. Designed to capture trends, it performs best in markets with clear directional movements and is less suitable for range-bound markets like Forex, which often exhibit lateral price action. This system is not recommended for low timeframes, such as minute charts, due to the random and emotionally driven nature of price movements in those periods. For a deeper exploration of this topic, I recommend reading my article “Timeframe is Everything”, which discusses the critical importance of selecting the appropriate timeframe. I suggest testing and applying the “Hosoda’s Clouds” strategy on assets with a strong trending nature and a proven track record of performance. Ideal markets include Tesla (1-hour, 4-hour, and daily), BTC/USDT (daily), SPY (daily), and XAU/USD (daily), as these have consistently shown clear directional trends over time. Commissions and Configuration Commissions can be adjusted in the system’s settings to suit individual needs. For evaluating the effectiveness of “Hosoda’s Clouds,” I’ve used a standard commission of $1 per order as a baseline, though this can be modified in the code to accommodate different brokers or preferences. The margin per trade is set to $1,000 by default, but users are encouraged to experiment with different margin settings in the configuration to match their trading style. Rules of the “Hosoda’s Clouds” System (Bullish Strategy) This strategy is designed to capture trending movements in bullish markets using the Ichimoku Kinko Hyo indicator. The rules are as follows: Long Entry: A long position is triggered when the Tenkan-sen crosses above the Kijun-sen below the Ichimoku cloud, identifying potential reversals or bounces in a bearish context. Stop Loss (SL): Placed at the low of the candle 12 bars prior to the entry candle. This setting has proven optimal in my tests, but it can be adjusted in the code based on risk tolerance. Take Profit (TP): The position is closed when the Tenkan-sen crosses below the bottom of the Ichimoku cloud (the minimum of Senkou Span A and Senkou Span B). Notes on the Code margin_long=0: Ideal for strategies requiring a fixed position size, particularly useful for manual entries or testing with a constant capital allocation. margin_long=100: Recommended for high-frequency systems where positions are closed quickly, simulating gradual growth based on realized profits and reflecting real-world broker constraints. System Performance The following performance metrics account for $1 per order commissions and were tested on the specified assets and timeframes: Tesla (H1) Trades: 148 Win Rate: 29.05% Period: Jan 2, 2014 – Jan 6, 2020 (+172%) Simple Annual Growth Rate: +34.3% Trades: 130 Win Rate: 30.77% Period: Jan 2, 2020 – Sep 24, 2025 (+858.90%) Simple Annual Growth Rate: +150.7% Tesla (H4) Trades: 102 Win Rate: 32.35% Period: Jun 29, 2010 – Sep 24, 2025 (+11,356.36%) Simple Annual Growth Rate: +758.5% Tesla (Daily) Trades: 56 Win Rate: 35.71% Period: Jun 29, 2010 – Sep 24, 2025 (+3,166.64%) Simple Annual Growth Rate: +211.5% BTC/USDT (Daily) Trades: 44 Win Rate: 31.82% Period: Sep 30, 2017 – Sep 24, 2025 (+2,592.23%) Simple Annual Growth Rate: +324.8% SPY (Daily) Trades: 81 Win Rate: 37.04% Period: Jan 23, 1993 – Sep 24, 2025 (+476.90%) Simple Annual Growth Rate: +14.3% XAU/USD (Daily) Trades: 216 Win Rate: 32.87% Period: Jan 6, 1833 – Sep 24, 2025 (+5,241.73%) Simple Annual Growth Rate: +27.1% SPX (Daily) Trades: 217 Win Rate: 38.25% Period: Feb 1, 1871 – Sep 24, 2025 (+16,791.02%) Simple Annual Growth Rate: +108.1% Conclusion With the “ Hosoda’s Clouds ” strategy, I aim to showcase the potential of technical analysis to generate consistent profits in trending markets, challenging recent doubts about its effectiveness. My goal is for this system to serve as both a practical tool for traders and a source of inspiration for the trading community I deeply respect. I hope it encourages the creation of new strategies, fosters creativity in technical analysis, and empowers traders to approach the markets with confidence and discipline.
استراتيجية Pine Script®
من ‎Especulador96‎
2