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Trend Analizi

Dynamic Gap Probability ToolDynamic Gap Probability Tool measures the percentage gap between price and a chosen moving average, then analyzes your chart history to estimate the likelihood of the next candle moving up or down. It dynamically adjusts its sample size to ensure statistical robustness while focusing on the exact deviation level. Originality and Value: • Combines gap-based analysis with dynamic sample aggregation to balance precision and reliability. • Automatically extends the sample when exact matches are scarce, avoiding misleading signals on rare extreme moves. • Provides real “next-candle” probabilities based on historical occurrences rather than fixed thresholds or untested heuristics. • Adds value by giving traders an evidence-based edge: you see how similar past deviations actually played out. How It Works: 1. Calculate gap = (close – moving average) / moving average * 100. 2. Round the absolute gap to nearest percent (X%). 3. Count historical bars where gap ≥ X% above or ≤ –X% below. 4. If exact X% count is below the minimum occurrences threshold, include gaps at X+1%, X+2%, etc., until threshold is reached. 5. Compute “next-candle” green vs. red probabilities from the aggregated sample. 6. Display current gap, sample size, green probability, and red probability in a table. Inputs: • Moving Average Type (SMA, EMA, WMA, VWMA, HMA, SMMA, TMA) • Moving Average Period (default 200) • Minimum Occurrences Threshold (default 50) • Table position and styling options Examples: • If price is 3% above the 200-period SMA and 120 occurrences ≥3% are found, with 84 green next candles (70%) and 36 red (30%), the script displays “3% | 120 | 70% green | 30% red.” • If price is 8% below the SMA but only 20 exact matches exist, the script will include 9% and 10% gaps until it reaches 50 samples, then calculate probabilities from that broader set. Why It’s Useful: • Mean-reversion traders see green-probability signals at extreme overbought or oversold levels. • Trend-followers identify continuation likelihood when red probability is high. • Risk managers gauge reliability by inspecting sample size before acting on any signal. Limitations: • Historical probabilities do not guarantee future performance. • Results depend on timeframe and symbol, backtest with your data before trading. • Use realistic slippage and commission when overlaying on strategy scripts.
Pine Script® göstergesi
Julien_Eche tarafından
KT Gaussian Bands🎯 Overview KT Gaussian Bands is an advanced technical indicator that uses Gaussian-weighted smoothing to create dynamic support and resistance bands. This sophisticated algorithm provides high-quality buy and sell signals by filtering market noise and adapting to price volatility. 🔬 How It Works The indicator employs a Gaussian weighting function to smooth price data, creating more accurate trend detection compared to traditional moving averages. The algorithm calculates: Dynamic Upper Band (Resistance Level) Dynamic Lower Band (Support Level) Adaptive Signal Generation based on price interaction with bands 📊 Key Features ✨ Smart Signal Generation 🔺 BUY Signal: When price crosses below the lower band and bounces back up 🔻 SELL Signal: When price crosses above the upper band and drops back down Real-time arrows displayed directly on the chart ⚙️ Customizable Parameters Bandwidth (h): Controls the smoothness of the calculation (Default: 8.0) Multiplier: Adjusts the sensitivity of the bands (Default: 3.0) Source: Choose your preferred price source (Default: Close) Repainting Mode: Toggle between real-time and historical accuracy 🎨 Visual Elements Color-coded bands (Teal for upper, Red for lower) Clear arrow signals for entry/exit points Clean dashboard showing current mode status 📈 Trading Applications Best Timeframes Works effectively on all timeframes Particularly strong on 15M, 1H, and 4H charts Daily charts for swing trading setups Trading Strategies Trend Following: Use signals in the direction of the major trend Mean Reversion: Trade bounces off the bands in ranging markets Breakout Confirmation: Validate breakouts with band penetration Risk Management Use stop-loss below/above the opposite band Position size based on band width (wider = higher volatility) Combine with other indicators for confirmation ⚠️ Important Notes Repainting Mode Enabled: Shows the most accurate current analysis (may change on live bars) Disabled: Historical signals remain fixed (recommended for backtesting) Best Practices Don't trade every signal - wait for high-probability setups Consider market context and overall trend direction Use proper risk management on every trade Backtest on your preferred timeframes before live trading 🔧 Settings Guide Bandwidth (8.0): Lower = More responsive, Higher = Smoother Multiplier (3.0): Lower = More signals, Higher = Fewer but stronger signals Repainting: Enable for live analysis, Disable for backtesting 📊 Performance Characteristics Low Lag: Responds quickly to price changes Noise Reduction: Filters out false signals effectively Adaptive: Automatically adjusts to market volatility Versatile: Works across different market conditions 🎓 Educational Value This indicator demonstrates advanced mathematical concepts in trading: Gaussian distribution applications in finance Dynamic volatility adjustment Weighted moving average techniques ⭐ Why Choose KT Gaussian Bands? Mathematically Sound: Based on proven statistical methods User-Friendly: Clear signals with minimal complexity Flexible: Adapts to your trading style and timeframe Reliable: Consistent performance across market conditions Disclaimer: This indicator is for educational and informational purposes only. Always use proper risk management and never risk more than you can afford to lose. Past performance does not guarantee future results.
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KuytradeTH tarafından
Institutional Momentum Scanner [IMS]Institutional Momentum Scanner - Professional Momentum Detection System Hunt explosive price movements like the professionals. IMS identifies maximum momentum displacement within 10-bar windows, revealing where institutional money commits to directional moves. KEY FEATURES: ▪ Scans for strongest momentum in rolling 10-bar windows (institutional accumulation period) ▪ Adaptive filtering reduces false signals using efficiency ratio technology ▪ Three clear states: LONG (green), SHORT (red), WAIT (gray) ▪ Dynamic volatility-adjusted thresholds (8% ATR-scaled) ▪ Visual momentum flow with glow effects for signal strength BASED ON: - Pocket Pivot concept (O'Neil/Morales) applied to price momentum - Adaptive Moving Average principles (Kaufman KAMA) - Market Wizards momentum philosophy - Institutional order flow patterns (5-day verification window) HOW IT WORKS: The scanner finds the maximum price displacement in each 10-bar window - where the market showed its hand. An adaptive filter (5-bar regression) separates real moves from noise. When momentum exceeds the volatility-adjusted threshold, states change. IDEAL FOR: - Momentum traders seeking explosive moves - Swing traders (especially 4H timeframe) - Position traders wanting institutional footprints - Anyone tired of false breakout signals Default parameters (10,5) optimized for 4H charts but adaptable to any timeframe. Remember: The market rewards patience and punishes heroes. Wait for clear signals. "The market is honest. Are you?"
Pine Script® göstergesi
bremen_strategist tarafından
3
Spot Overlapping FVG - [Fandesoft Trading Academy]🧠 Overview This script plots Higher Timeframe Fair Value Gaps (FVGs) with full visibility and precise placement on lower timeframe charts. Each timeframe (1D–12M) has its own independent toggle, custom label, and box styling, allowing traders to analyze broader market structures across swing and long-term horizons. 🎯 Features ✅ Identifies Fair Value Gaps using a 3-candle logic (candle 1 high vs candle 3 low, and vice versa). ✅ Plots HTF FVG boxes aligned to lower timeframes for comprehensive multi-timeframe analysis. ✅ Supports custom timeframes: 1D to 12M, with individual toggles. ✅ Full visual customization: border color, bullish/bearish box opacity, label font size and color. ✅ Modular inputs to enable or disable specific timeframes for performance. ✅ Uses barstate.isconfirmed logic for stable, non-repainting plots. ⚙️ How It Works The script requests higher timeframe data via request.security. For each confirmed bar, it checks for FVGs based on: Bullish FVG: low >= high Bearish FVG: low >= high If a gap is detected, a box is plotted between candle 1 and candle 3 using box.new(). Timeframe toggles ensure calculations remain within the limit of 40 request.security calls. 📈 Use Cases Swing traders analyzing daily to monthly imbalances for medium-term strategies. Position traders seeking to identify long-term imbalance zones for entries or exits. ICT methodology practitioners visualizing higher timeframe displacement and inefficiencies. Traders layering multiple HTF FVGs to build confluence-based trading decisions.
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alicnsz tarafından
CipherMatrix Dashboard (MarketCipher B)does it work. A lightweight, multi-time-frame overlay that turns MarketCipher B data into an at-a-glance dashboard: Time-frames shown: current chart TF first, then 5 m, 15 m, 30 m, 1 H, 4 H, Daily. Bias icons: 🌙 = bullish (MCB > 0) 🩸 = bearish (MCB < 0) Signal icons: ⬆️ = histogram crosses above 0 (potential long) ⬇️ = histogram crosses below 0 (potential short) Table location: bottom-right of chart; updates on every confirmed bar.
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cdhughes11 tarafından
Heiken Ashi Candles - CustomizableHeiken Ashi Candles – Customizable Overlay This TradingView indicator displays accurate Heiken Ashi candles directly on your price chart, perfectly synced with TradingView’s built-in Heiken Ashi source. It’s ideal for traders who want to backtest or analyze Heiken Ashi structure without switching chart types. The indicator also includes full customization of candle body and wick colors for both bullish and bearish candles—perfect for tailoring your chart visuals to your preferences.
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freeburn tarafından
AV BTC Top Cap ModelThe Bitcoin Top Cap Developed by Willy Woo to identify market cycle tops. Top Cap is calculated by multiplying the Average Cap by 35. Average cap is calculated by taking the cumulative sum of daily market cap divided by the age of market in days. Additional Top Cap using 15x multiplier is included to show sensitivity and to gauge the effect of diminishing returns. For the use on BTC Market Cap Chart : No changes necessary. Switching to logarithmic scale in recommended. For the use on BTC Price Chart : After adding the indicator, enable Convert to price setting. Customization of multipliers is enabled in the settings. Data sources used: GLASSNODE:BTC_MARKETCAP and GLASSNODE:BTC_SUPPLY (for price conversion) Note: Use with caution. I coded this for learning. This model might be past it's usefulness date. I am also seeing single digit % difference between this indicator values and top cap indicators available online.
Pine Script® göstergesi
avflow tarafından
Auto-Length Anchored Multiple EMA (Hour-Based)# Auto-Length Anchored Multiple EMA (Hour-Based) ## Overview This advanced EMA indicator automatically calculates Exponential Moving Average lengths based on the time elapsed since user-defined anchor dates. Unlike traditional fixed-length EMAs, this indicator dynamically adjusts EMA periods based on actual trading hours, making it ideal for event-based analysis and time-sensitive trading strategies. ## Key Features ### 🎯 **Dual Mode Operation** - **Auto Mode**: EMA length automatically calculated from anchor date to current time - **Manual Mode**: Traditional fixed-length EMA calculation - Switch between modes independently for each EMA ### 📊 **Multiple EMA Support** - Up to 4 independent EMAs with individual configurations - Each EMA can have its own anchor date and settings - Individual enable/disable controls for each EMA ### ⏰ **Smart Time Calculation** - Accounts for actual trading hours (customizable) - Weekend exclusion with Saturday trading option (for markets like NSE/BSE) - Hour multiplier for fine-tuning EMA sensitivity - Minimum EMA length protection to prevent calculation errors ### 🎨 **Visual Enhancements** - **Dynamic Fill Colors**: Fill between EMA1 and EMA3 changes color based on price position - **Customizable Colors**: Individual color settings for each EMA - **Anchor Visualization**: Optional vertical lines and labels at anchor dates - **Real-time Table**: Shows current EMA lengths, modes, and values ## Configuration Options ### Trading Session Settings - **Trading Hours Per Day**: Set your market's trading hours (1-24) - **Trading Days Per Week**: Configure for different markets (5 for Mon-Fri, 6 for Mon-Sat) - **Include Saturday**: Enable for markets that trade on Saturday - **Hour Multiplier**: Fine-tune EMA sensitivity (0.1x to 10x) ### EMA Configuration - **Anchor Dates**: Set specific start dates for each EMA calculation - **Manual Lengths**: Override with traditional fixed periods when needed - **Enable/Disable**: Individual control for each EMA - **Color Customization**: Personalize appearance for each EMA ### Visual Options - **Fill Settings**: Toggle and customize fill colors between EMAs - **Anchor Lines**: Show vertical lines at anchor dates - **Anchor Labels**: Display formatted anchor date information - **Length Table**: Real-time display of current EMA parameters ## Use Cases ### 📈 **Event-Based Analysis** - Anchor EMAs to earnings announcements, policy decisions, or market events - Track price behavior relative to specific time periods - Analyze momentum changes from key market catalysts ### 🕐 **Time-Sensitive Trading** - Perfect for intraday strategies where timing is crucial - Automatically adjusts to market hours and trading sessions - Eliminates manual EMA length recalculation ### 🌍 **Multi-Market Support** - Configurable for different global markets - Saturday trading support for Asian markets - Flexible trading hour settings ## Technical Details ### Calculation Method The indicator calculates trading bars elapsed since anchor date using: ``` Total Trading Bars = (Days Since Anchor × Trading Days Per Week ÷ 7) × Trading Hours Per Day × Hour Multiplier ``` ### EMA Formula Uses standard EMA calculation with dynamically calculated alpha: ``` Alpha = 2 ÷ (Current Length + 1) EMA = Alpha × Current Price + (1 - Alpha) × Previous EMA ``` ### Weekend Handling - Automatically excludes weekends from calculation - Optional Saturday inclusion for specific markets - Accurate trading day counting ## Installation & Setup 1. **Add to Chart**: Apply the indicator to your desired timeframe 2. **Set Anchor Dates**: Configure anchor dates for each EMA you want to use 3. **Adjust Trading Hours**: Set your market's trading session parameters 4. **Customize Appearance**: Choose colors and visual options 5. **Enable Features**: Turn on fills, anchor lines, and information table as needed ## Best Practices - **Anchor Selection**: Choose significant market events or technical breakouts as anchor points - **Multiple Timeframes**: Use different anchor dates for short, medium, and long-term analysis - **Hour Multiplier**: Start with 1.0 and adjust based on market volatility and your trading style - **Visual Clarity**: Use contrasting colors for different EMAs to improve readability ## Compatibility - **Pine Script Version**: v6 - **Chart Types**: All chart types supported - **Timeframes**: Works on all timeframes (optimal on intraday charts) - **Markets**: Suitable for stocks, forex, crypto, and commodities ## Notes - Indicator starts calculation from the anchor date forward - Minimum EMA length prevents calculation errors with very recent anchor dates - Table display updates in real-time showing current EMA parameters - Fill colors dynamically change based on price position relative to EMA1 --- *This indicator is perfect for traders who want to combine the power of EMAs with event-driven analysis and precise time-based calculations.*
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shivkumar503244 tarafından
SMA Crossing Background Color (Multi-Timeframe)When day trading or scalping on lower timeframes, it’s often difficult to determine whether the broader market trend is moving upward or downward. To address this, I usually check higher timeframes. However, splitting the layout makes the charts too small and hard to read. To solve this issue, I created an indicator that uses the background color to show whether the current price is above or below a moving average from a higher timeframe. For example, if you set the SMA Length to 200 and the MT Timeframe to 5 minutes, the indicator will display a red background on the 1-minute chart when the price drops below the 200 SMA on the 5-minute chart. This helps you quickly recognize that the trend on the higher timeframe has turned bearish—without having to open a separate chart. デイトレード、スキャルピングで短いタイムフレームでトレードをするときに、大きな動きは上に向いているのか下に向いているのかトレンドがわからなくなることがあります。 その時に上位足を確認するのですが、レイアウトをスプリットすると画面が小さくて見えにくくなるので、バックグラウンドの色で上位足の移動平均線では価格が上なのか下なのかを表示させるインジケーターを作りました。 例えば、SMA Length で200を選び、MT Timeframeで5分を選べば、1分足タイムフレームでトレードしていて雲行きが怪しくなってくるとBGが赤になり、5分足では200線以下に突入しているようだと把握することができます。
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myoban tarafından
Latest Prev Day Supply/Demand ZonesSupply and demand zones are key price levels where buyers and sellers previously clashed, creating areas of support (demand) and resistance (supply). Day traders use these zones as strategic entry and exit points by buying when price pulls back to demand zones and selling when price rallies to supply zones, always waiting for confirmation through candlestick patterns or momentum indicators before entering trades. These zones work best when combined with proper risk management (stop losses below demand zones for longs, above supply zones for shorts) and are most effective in trending or ranging markets rather than choppy sideways action. The strongest zones are those that have held multiple times with high volume, and day traders typically mark these levels each morning based on the previous day's price action, focusing on the most recent and relevant zones closest to current price levels for the highest probability trades.
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juan-martinez890 tarafından
ATR Trailing Stop (Seemple)The ATR Trailing Stop (Seemple) is a clean and intuitive trend following indicator that helps traders visualise dynamic stop levels based on market volatility. 1. How it works: Uses the Average True Range (ATR) to calculate trailing stop levels. The stop dynamically adjusts with price movement: Rises in an uptrend to lock in gains. Falls in a downtrend to protect against reversals. Incorporates a flip condition that identifies potential trend shifts when price crosses above or below the stop level. 2. Customisable Inputs: ATR Period : Defines the sensitivity of the volatility calculation. ATR Multiple : Sets how tight or wide the stop should be based on ATR. 3. Application: Ideal for trend-following strategies, trailing stop placement, and visual guidance for exit signals.
Pine Script® göstergesi
Brandon_Leu tarafından
Overlapping FVG - [Fandesoft Trading Academy]🧠 Overview This script plots Higher Timeframe Fair Value Gaps (FVGs) with full visibility and precise placement on lower timeframe charts. Each timeframe (30s–15m) has its own independent toggle, custom label, and box styling, allowing traders to analyze market structures in detail. 🎯 Features ✅ Identifies Fair Value Gaps using a 3-candle logic (candle 1 high vs candle 3 low, and vice versa). ✅ Plots HTF FVG boxes aligned to lower timeframes for intraday analysis. ✅ Supports custom timeframes: 30s to 15m, with individual toggles. ✅ Full visual customization: border color, bullish/bearish box opacity, label font size and color. ✅ Modular inputs to enable or disable specific timeframes for performance. ✅ Uses barstate.isconfirmed logic for stable, non-repainting plots. ⚙️ How It Works The script requests higher timeframe data via request.security. For each confirmed bar, it checks for FVGs based on: Bullish FVG: low >= high Bearish FVG: low >= high If a gap is detected, a box is plotted between candle 1 and candle 3 using box.new(). Timeframe toggles ensure calculations remain within the limit of 40 request.security calls. 📈 Use Cases Scalpers and intraday traders analyzing microstructure. ICT methodology practitioners visualizing displacement and inefficiencies. Traders layering multiple FVG timeframes for confluence.
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alicnsz tarafından
VWAP SlopePositive (green) bars mean today’s (or this interval’s) VWAP is higher than the prior one → volume‐weighted average price is drifting up → bullish flow. Negative (red) bars mean VWAP is lower than before → volume is skewed to sellers → bearish flow. Bar height shows how much VWAP has shifted, so taller bars = stronger conviction. Why it’s useful: It gives you a real-time read on whether institutions are consistently buying at higher prices or selling at lower prices. Use it as a bias filter: for shorts you want to see red bars (VWAP down-slope) at your entry, and for longs green bars (VWAP up-slope). Because it updates tick-by-tick (or per bar), you get a live snapshot of volume-weighted momentum on top of your price‐action and oscillator signals.
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ahmedfarhatx22 tarafından
H IchimokuIchimoku Kinko Hyo (commonly called the Ichimoku Cloud) is a comprehensive technical analysis indicator developed by Japanese journalist Goichi Hosoda in the 1960s. Its name translates to “one glance equilibrium chart,” reflecting the tool’s purpose: to provide a quick, holistic view of market trend, momentum, and support/resistance levels. The Ichimoku Cloud consists of five main components: Tenkan-sen (Conversion Line): The average of the highest high and lowest low over the past 9 periods. Kijun-sen (Base Line): The average of the highest high and lowest low over the past 26 periods. Senkou Span A (Leading Span A): The average of the Tenkan-sen and Kijun-sen, plotted 26 periods ahead. Senkou Span B (Leading Span B): The average of the highest high and lowest low over the past 52 periods, plotted 26 periods ahead. Chikou Span (Lagging Span): The current closing price plotted 26 periods back. The area between Senkou Span A and B forms the “cloud” (Kumo), which visually highlights key support and resistance zones. Prices above the cloud indicate an uptrend, below the cloud a downtrend, and within the cloud a consolidating or neutral market. Ichimoku is valued for its ability to provide a broad, forward-looking perspective on price action, helping traders identify trends, momentum, and potential reversal points at a glance.
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qrdkob tarafından
High/Low of Previous 3 Days & Daily Open (Frame-Independent)High/Low of Previous 3 Days & Daily Open This indicator automatically plots: The highest high and lowest low of the previous 3 trading days (excluding today), Today’s daily open, And shows a clear “Buy chủ đạo” (Strong Buy) label if price closes above the 3D-High, Or a “Sell chủ đạo” (Strong Sell) label if price closes below the 3D-Low. Key advantages: Always calculates the true 3-day range on any timeframe (not just 3 bars), Instantly highlights breakout zones for strong trend trading, Simple, clean, and highly effective for both breakout and trend-following traders. Just add it to your chart and watch for strong moves whenever price breaks out of the recent 3-day range!
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levannam68 tarafından
MTF_MA RibbonThis script plots a ribbon of Moving Averages for Daily, Weekly and Monthly timeframes and helps in Multi-timeframe analysis of securities for swing & positional trades. once applied to chart, the moving averages change automatically according to the selected timeframe. Following are the default moving averages : Daily TF EMAs: 5D, 10D, 20D Daily TF SMAs: 50D, 100D, 150D, 200D Weekly TF SMAs: 10W, 20W, 30W, 40W Monthly TF SMAs: 3M, 5M, 8M, 11M
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vk_921 tarafından