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1m EMA Scalper + Lot Size HUD [DIMS]1m EMA Scalper w/ Pre-Alert + Lot Size HUD Purpose: A short-term (1-minute) scalping strategy for assets like XAUUSD, GBPJPY, and GER30/GER40, showing precise buy/sell signals, stop-loss, take-profit, breakeven levels, and a dynamic lot size HUD for risk management. Key Features: Signals: Buy/Sell signals generated using EMA crossover (fast vs slow) + RSI filter + optional candle/volume filter. Signals only appear during selected trading sessions (London & NY). Pre-alert signals appear 30 seconds before the candle closes, so you can prepare to enter. Stop Loss / Take Profit / Breakeven: SL calculated using ATR × multiplier and adjustable for spread. TP follows a configurable risk:reward ratio. Breakeven can be toggled on/off and uses a custom multiplier. Lines have customizable length, width, and style. Lot Size HUD: Automatically calculates lot size based on account balance, risk % or fixed amount, and leverage. Shows stop distance in pips/points. HUD retains the value for 5 minutes after the signal candle. Flashes 30 seconds before the candle closes to prepare for the trade. Auto-adjusts for XAUUSD, GBPJPY, GER30/GER40. Alerts: Alerts for pre-alert signals and confirmed signals. Can toggle alerts on/off for both types. Customization & Display: Toggle buy/sell signals, SL/TP/BE lines, and pre-alert arrows. Works entirely on-chart, displaying only the essential arrows, lines, and HUD. Summary: It’s a ready-to-trade scalping tool that combines fast technical signal detection with risk management, pre-alert timing, and visual trade guidance — letting you focus on execution without manually calculating lot size or monitoring every candle.
Pine Script® インジケーター
D-07の投稿
Target Reach & Trend ProjectionTarget Reach & Trend Projection Overview: The Target Reach & Trend Projection indicator helps traders estimate how long (in candles) it might take for the price to reach a chosen target level, while also providing insight into the current and higher-timeframe trend directions. Key Features 1. Target Projection: Set your custom Target Price manually. The indicator calculates the expected number of candles needed to reach that price, based on recent price velocity. Displays an estimated date and time for when the price could reach your target. 2. Trend Detection (Local): Detects the current market direction using one of two methods: Linear Trend: Measures direct slope between candles. Smoothed Trend: Uses a moving average slope for cleaner, less noisy trend estimation. 3. Higher-Timeframe Confirmation: Confirms whether the higher timeframe (e.g., 4H, 1D) trend agrees with the local trend. Displays “✅ Aligned” when both are in sync and “⚠️ Diverging” when not. 4. On-Chart Information: A dynamic label near the target price line shows: Target level Trend method used Estimated candles to target Current trend direction Estimated time of arrival (ETA) Higher-timeframe trend confirmation 5. Visual Feedback: Background color changes lightly to reflect trend direction (green for bullish, red for bearish). 6. Alerts: Optional alerts for when: The target price is reached. Both local and higher-timeframe trends align bullishly or bearishly. How It Works The script measures the average price velocity (slope) over a chosen lookback period. It then divides the distance between the current price and the target by that slope to estimate how many candles it might take to get there. It projects the estimated time of arrival based on your chart’s current timeframe. The script also checks a higher timeframe trend (using a moving average) for multi-timeframe confirmation. 🧭 Use Cases Estimating the time horizon for swing trades or targets. Confirming momentum direction before entering or exiting positions. Aligning intraday setups with higher-timeframe trends. ⚠️ Notes Estimates assume current trend velocity continues — it does not predict future volatility or reversals. Works best on time-based charts with clear directional movement (e.g., 1H, 4H, 1D).
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JARUTIRの投稿
AI Adaptive MA - Machine Learning Trading Algorithm🤖 AI-Powered Self-Learning Trading Algorithm This indicator uses machine learning to automatically optimize trading parameters in real-time, continuously learning from market behavior to improve signal accuracy. How the AI Works: - Runs backtesting loops across 45+ MA configurations simultaneously - Scores each model based on recent prediction accuracy - Auto-selects the highest-performing configuration - Filters signals using multi-factor ML validation Real-Time Stats Dashboard: Shows the AI's current selected model, performance score, and trend detection Key ML Features: - Continuous Learning: Adapts every bar to changing markets - Pattern Recognition: Identifies optimal MA periods automatically - Smart Filtering: ML-based signal validation reduces false positives - No Manual Optimization: The algorithm handles everything Understanding the Score: The AI's performance score shows how well the selected MA is working: - 0-10: Poor - Choppy market, reduce trading - 10-20: Moderate - Normal conditions - 20-30: Good - Reliable signals - 30+: Excellent - Strong trend, increase confidence Score = Higher prediction accuracy over last 20 bars The score tells you when to trust signals more (high score) or be cautious (low score). Sudden drops indicate market regime changes. Why It's Different: Unlike static indicators, this is a true adaptive AI system that learns and evolves with market conditions - similar to how quant funds use ML for signal generation. Perfect for traders wanting to leverage artificial intelligence without coding their own algorithms. Note: 70+ bar learning period required for AI initialization.
Pine Script® インジケーター
jacesabr_realの投稿
1
Adaptive Trend Trigger // VX-ATTAdaptive Trend Trigger // VX-ATT is a trend-following bias indicator that combines a baseline EMA with adaptive ATR bands and a momentum override layer. Core idea: The EMA defines the baseline trend. ATR bands above/below the EMA mark zones where volatility is high enough to justify a directional push. A break above the upper band switches the bias to Long. A break below the lower band switches the bias to Short. Strong candle bodies (measured vs. an average body size) can temporarily override the current bias when they close far above/below the EMA (momentum override). What the indicator does: Colors the background based on the active bias (Long/Short). Plots EMA + ATR bands. Marks strong momentum candles with arrows. Provides alerts when the bias flips from Long → Short or Short → Long. Typical use cases: Trend filter for discretionary entries Bias layer for strategies or additional indicators Only trade in the direction of the active bias (e.g., favor Long setups in Long bias, avoid counter-trend scalps) This is a simplified, free component extracted from my VX toolset (VX-ATT), designed as a clean, plug-and-play trend/bias layer you can combine with your own setups.
Pine Script® インジケーター
Ikaru-s-の投稿
1
Quantile Support & ResistanceThis indicator plots dynamic support and resistance zones based on quantile logic — a statistically grounded method for identifying structural price boundaries. Support Level: The price below which only a small percentage of lows fall (default: 10%). This approximates a strong demand zone. Resistance Level: The price above which only a small percentage of highs rise (default: 10%). This approximates a strong supply zone. Volatility-Adaptive: Levels adjust automatically to changing market conditions using a configurable lookback window. Quantile Interpolation: Uses sorted price data and fractional indexing to estimate percentile thresholds with precision. This tool is ideal for traders who want to visualize statistically significant price zones without relying on subjective drawing or fixed levels. It pairs well with breakout strategies, retest logic, and compression overlays.
Pine Script® インジケーター
slopipの投稿
Liquidity Hunter + ShortLiquidity Hunter + Short Version with Short Trade Signals by Cihan Culha This indicator is based on the original Liquidity Hunter by ChartPrime (MPL 2.0 license). It detects potential Long and Short liquidity hunts by analyzing candle body, wick percentages, ATR bands, and slope direction. Features: Long signals (original) based on lower wick, body %, slope, and ATR bands Short signals (added) based on upper wick, body %, negative slope, and ATR bands Target (TP), Stop Loss (SL), CHOCH, and BOS levels plotted dynamically Visual boxes highlight potential liquidity zones Risk/Reward (RR) configurable via input Usage Notes: This modified version adds Short trade signals while preserving the original Long logic Original author ChartPrime is credited; modifications by Cihan Culha Adjust Body %, Wick %, and RR multiplier to suit your trading timeframe and style For educational purposes; always use proper risk management
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cculhaの投稿
GMH : Tech Bubble Good Morning Holding Simulating How to Ride the Bubble — and Jump Out Before the Crash Be careful! Most simulation results show that this strategy sometimes underperforms a simple buy-and-hold, because it gives away positions during deep retracements and buys back at higher thresholds. Humans often struggle with cutting losses. When the pain becomes too much, they lose the confidence needed to execute even a reasonable strategy. But in terms of mentality, this approach reduces long-term portfolio volatility. It helps investors feel more at peace, especially during real market crashes like the tech bubble in 2021. How to use : Select TimeFrame 4HR on trading view
Pine Script® ストラテジー
gmhfundの投稿
Adaptive Momentum Pressure (AMP)🔹 Adaptive Momentum Pressure (AMP) A hybrid momentum oscillator that adapts to volatility and trend dynamics. AMP measures the rate of change of price pressure and automatically adjusts its sensitivity based on market volatility. It reacts faster in trending markets and smooths out noise during consolidation — helping traders identify genuine momentum shifts early while avoiding whipsaws. 🧠 Core Concept AMP fuses three elements into one adaptive momentum model: Normalized Momentum (ROC) – captures directional acceleration of price. Adaptive Smoothing – the smoothing length dynamically contracts when volatility rises and expands when it falls. Directional Bias – derived from the short-term EMA slope to weight momentum toward the prevailing trend. Combined, these form a pressure value oscillating between –100 and +100, revealing when momentum expands or fades. ⚙️ How It Works Calculates a normalized rate of change (ROC) relative to recent volatility. Adjusts its effective length using the ATR — more volatile periods shorten the lookback for quicker reaction. Applies a custom EMA that adapts in real time. Modulates momentum by a normalized EMA slope (“trend bias”). Produces a smoothed AMP line with a Signal line and crossover markers. 🔍 How to Read It Green AMP line rising above Signal → Building bullish momentum. Red AMP line falling below Signal → Fading or bearish momentum. White Signal line = smoothed confirmation of trend energy. Green dots = early bullish crossovers. Red dots = early bearish crossovers. Typical interpretations: AMP crossing above 0 from below → early bullish impulse. AMP peaking near +50–100 and curling down → potential momentum exhaustion. Crosses below 0 with red pressure → bearish confirmation. ⚡ Advantages ✅ Adaptive across all markets and timeframes ✅ Built-in trend bias filters false signals ✅ Reacts earlier than RSI/MACD while reducing noise ✅ No manual retuning required 🧩 Suggested Use Combine with structure or volume tools to confirm breakouts. Works well as a momentum confirmation filter for entries/exits. Optimal display: separate oscillator pane (not overlay). Use it responsibly — AMP is an analytical tool, not financial advice.
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Cryptobingbongの投稿
Gann Square of 144 (Master Price & Time)🔹 What this tool does Draws a 144-unit square in price & time (0 → 144) Plots all key horizontal & vertical levels: 0, 18, 36, 48, 54, 72, 90, 96, 108, 126, 144 Highlights the main 1/2 level (72) as thick midline Marks 1/3 and 2/3 (48 & 96) as special harmonic levels Draws internal diagonals (0–144, 144–0 and sub-squares) Plots an 8-ray Gann fan from the 0-point (0 → 36 / 72 / 108 / 144 etc.) Keeps price–time ratio consistent inside the box: the 1×1 angle has a fixed slope = price_per_bar The idea: once the square is calibrated to a major swing, you can study how price respects these angles and harmonic zones over time. 🔧 Inputs & how to set it up correctly Choose your timeframe Works best on Daily and Weekly charts. Use one timeframe consistently when calibrating the square. Start offset (bars back) Start offset (bars back) shifts the whole square left/right. Increase the value to move the square further into the past, decrease it to move it closer to the current bars. Box width (bars) Box width (bars) = how many bars the square spans horizontally. Bigger value = projects the structure further into the future. Example: 288 bars ≈ 2×144 units in time, 720 bars for longer-term projection, etc. Bottom price Bottom price is your 0-level in price. Usually set this to a major swing low (cycle low, bear market low, important pivot). The bottom-left corner of the square conceptually sits at: (start_offset_bar, bottom_price) Price per bar (slope 1×1) (if your version has this input) This defines the slope of the 1×1 angle (main Gann angle). Recommended way to set it: Pick a major impulsive move from Swing Low → Swing High. Measure: Price range = High − Low Number of bars between them. Compute: price_per_bar = price_range / number_of_bars Use that as your 1×1 value in the input. Now the main diagonal from 0 to 144 represents the true Gann 1×1 for that swing. Important: The 1×1 angle is mathematically correct (price-per-bar), even if it does not always look like a perfect 45° line visually in TradingView due to chart scaling. 📖 How to read the Square of 144 Horizontal levels 0 = anchor price (bottom) 18, 36, 48, 54, 72, 90, 96, 108, 126, 144 = key price harmonics 72 (1/2) often acts as major support/resistance 48 & 96 (1/3 and 2/3) are strong “vibration” levels Vertical levels Same units but in time (bars). When important pivots in price occur near these verticals, you get time–price confluence. Midlines (1/2) The thick horizontal and vertical lines at 72 mark the center of the square. Crossings around these often signal important cycle turns. 1/3 & 2/3 zones (48–54 and 90–96) These narrow bands are powerful reversal / decision zones. Price often reacts strongly there or accelerates if they break. Gann fan from 0-point These rays represent major trends: 1×1 equivalent (main diagonal) Faster & slower angles (e.g. 2×1, 1×2, etc depending on configuration) If price breaks one fan angle cleanly, it often “falls” or “climbs” toward the next one. 🎯 Practical use cases Project future support/resistance zones based on a major low. See where price is in the square: early in the cycle (0–36), mid (around 72), or late (108–144). Watch how price respects: midlines (72), 1/3 and 2/3 bands (48–54, 90–96), and the fan angles from 0. Combine with your own price action / Fibonacci / trend tools – this is not a signal generator, but a time–price map. ⚠️ Notes & limitations This tool is for educational & analytical purposes only. It does not generate buy/sell signals. Visual 45° angles in TradingView can change when you zoom or rescale the chart. → The script keeps the internal price-per-bar logic stable, even if the drawing looks steeper/flatter when zooming. Always confirm zones with price action, volume, and higher timeframe context.
Pine Script® インジケーター
cem_zの投稿
RSI (Custom Background) KDMThis code is a custom version of the RSI (Relative Strength Index) indicator. Its main purpose is to compare recent price gains and losses to determine whether the market is in an overbought or oversold condition. 30–50 zone (purple tone): represents a weak or pullback area. 50–70 zone (green tone): represents a strengthening or dominant buying area. Additionally, when the RSI line moves above 70, a green gradient background highlights the overbought region; when it moves below 30, a red gradient background emphasizes the oversold region. Like the classic RSI, this version is a momentum indicator showing whether the price is losing or gaining strength. The key difference is the colored background, which allows you to visually identify the RSI zones (e.g., 30–50 weak, 50–70 strong) much faster and more clearly.
Pine Script® インジケーター
daimimusluの投稿
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® インジケーター
kostyaniusの投稿
Trend Exhaustion liteThe Trend Exhaustion Lite tool tracks the age and strength of the current directional move to show how mature or extended a trend has become. It converts complex statistical analysis into a simple visual panel and colour-coded background. How It Works Once a directional bias is established, the indicator measures: Direction (Bullish / Bearish phase), Trend Age (Number of bars since the current trend began), and Strength % (Relative intensity of the move on a 0–100 scale). Background colour shifts subtly as strength increases or fades, while the table displays live metrics. Use Cases Younger trends (low age): Usually early in development — potential continuation Aging trends (high age, declining strength): Often nearing exhaustion; tighten risk or prepare for rotation Combine with the Forecast Paint Engine or Trend Regime Lite for confirmation on when conviction is building or fading Interpretation Example Example Output: Panel reads Direction: Bull, Age: 47 bars, Strength: 68% Meaning: The uptrend remains statistically healthy but entering a later stage — manage exposure accordingly
Pine Script® インジケーター
HDAlgosの投稿
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® インジケーター
hakantugurlu77の投稿