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SMI 30m With Built-in Divergence AlertsStochastic Momentum Index SMI 30m is a simplified, single-timeframe Stochastic Momentum Index (SMI) designed for traders who want a clean momentum oscillator with clear crossover signals and automatic higher-timeframe filtering. This version is locked to a 30-minute timeframe, making it consistent across any chart you place it on. The script plots: SMI Blue Line – the main momentum line SMI Orange Line – the signal line (EMA-smoothed) Overbought / Oversold regions Optional colored background zones that highlight strong momentum extremes Both the Blue and Orange plots are fully exposed, allowing users to manually create TradingView alerts for crossovers. Additionally, the script includes two built-in alert conditions for traders who prefer automatic signals. How the SMI is calculated This script uses a double-EMA smoothing method to stabilize momentum: Highest and lowest price ranges are calculated over the selected %K period. Relative position of price inside that range is computed. A double EMA is applied to both the range and the midpoint offset. The SMI result is scaled to ±200 for clarity. The Signal Line is a single-EMA applied to the SMI. These parameters can be adjusted: %K Length %D Length EMA Length The default values match traditional 13-3-3 SMI settings. Visual Components 1. SMI Blue Line Represents the primary momentum movement. Values above 40 indicate positive momentum; values below −40 indicate negative momentum. 2. SMI Orange Line Acts as a smoothing signal line. Crossovers between Blue and Orange often indicate momentum shifts. 3. Overbought / Oversold Zones +40 = overbought boundary −40 = oversold boundary These levels help identify exhaustion points. 4. Gradient High/Low Zones The script includes colored fill zones above +40 and below −40 to visually highlight extreme momentum regions. Built-In Alerts The indicator includes two pre-configured alert conditions: 1. Bearish Cross (Overbought) Triggers when: The Blue SMI crosses below the Orange SMI AND the Blue SMI value is above 80 This represents a potential bearish divergence or momentum reversal from extreme highs. Alert title: SMI Bearish Cross 2. Bullish Cross (Oversold) Triggers when: The Blue SMI crosses above the Orange SMI AND the Blue SMI value is below −80 This represents a potential bullish divergence or reversal from extreme lows. Alert title: SMI Bullish Cross How to Use Alerts After adding the indicator to your chart: Open the Alerts panel Select Condition → SMI (1 TF) 30m Choose either: SMI Bearish Cross SMI Bullish Cross Set your preferred trigger method: Once per bar close Once per bar Once per minute Create the alert Traders can also manually create alerts for: Blue crossing above Orange Blue crossing below Orange Because both plots are fully exposed. Purpose This indicator is intended for traders who want a stable, single-timeframe SMI with: Clear structure Extreme-zone highlighting Exposed plots for custom alerts Built-in reversal alerts Consistent 30-minute TF regardless of chart It can be used for: Identifying trend reversals Detecting momentum exhaustion Confirming entries/exits Spotting early divergence signals
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alejandroscotti tarafından
MAHI Indicator v9.5 - Smart Momentum HUD + IntradayMAHI Indicator v9.5 — Smart Momentum HUD (Multi-Framework + Intraday Engine) A Complete Momentum, Trend, and Setup Framework for Swing, Position & Intraday Traders MAHI v9.5 is the most advanced version yet — a highly optimized, visual, multi-framework trading system that blends momentum, trend alignment, adaptive setup detection, and now Auto-Intraday Mode for short-term traders. This indicator acts like a Heads-Up Display (HUD) on your chart: it shows trend strength, squeeze zones, dynamic support/resistance, EMAs, setup validation, and early reversal signals in one clean interface — without clutter. ✔ Core Features 📌 1. Smart Momentum Ribbon A dynamic EMA-based momentum band that visually shifts as trend strength changes. Helps identify strong vs. weak momentum zones Adapts to volatility & trend slope Works on all timeframes (1m to 1M) 📌 2. EMA 9 → 21 Flip System A precision trend-switching signal: EMA 9 → 21 BULL = early bullish momentum EMA 9 → 21 BEAR = early bearish momentum More reliable than stand-alone MA crossovers 📌 3. Bullish Setup Engine (Standard + Weak) Automatically identifies when price is entering a reversal-ready state based on: Position relative to the ribbon Candle structure Momentum compression Slope + exhaustion conditions Includes: Bull Setup (Standard) — Higher probability setup Bull Setup (Weak) — Early or less developed setup Setup Invalidated — Confirms that the pattern failed This prevents false confidence & keeps traders disciplined. 📌 4. Strong Buy / Strong Sell Signals Only appear when multiple confirmations align: Ribbon bias EMA slope Momentum compression Trend alignment Filtered to remove noise — especially in lower timeframes. 📌 5. Multi-Timeframe Trend HUD Top-right panel summarizing: Overall Trend (Bullish, Bearish, Neutral) RSI Condition Daily vs Weekly Alignment Trading Mode Suggestions (Buy / Sell / LEAPS / Neutral) This gives instant context. 📌 6. Auto Intraday Engine (NEW in v9.5) Automatically switches internal logic when you move into intraday timeframes (1m–30m): Intraday Enhancements: Adaptive setup detection Faster momentum sensitivity EMAs tuned for scalp/swing precision Tighter invalidation logic Reduced false positives Optional strict filtering Perfect for scalping, day trading & micro-trends Works instantly — no settings needed. Just change the chart timeframe and MAHI adjusts. 📌 7. Dynamic High-Timeframe Support (W & M) Auto-layers weekly & monthly levels: Helps identify strong bounce zones Extremely useful for swing & LEAPS traders 📌 8. Weekly Volume Shelf Projection Lightweight VWAP-style level based on weekly volume aggregation. Shows probable bottoming areas during pullbacks. ✔ Who This Indicator Is For Perfect for: Day traders Swing traders Momentum riders LEAPS & long-term investors Beginner traders needing a structured system MAHI adapts to your timeframe and trading style. ✔ Why MAHI Works MAHI isn’t a single-signal indicator — it’s a framework. It combines: Trend Momentum Volatility Setup pattern detection Validation & invalidation Multi-timeframe alignment Dynamic zones Intraday optimization This eliminates guesswork and helps traders avoid the emotional traps that cause most losses. You don’t just get a signal — you get context. ✔ How to Use It Follow the ribbon bias Use EMA 9→21 flips as trend confirmation Look for Bull Setup tags during pullbacks Avoid trades when you see Setup Invalidated Respect weekly/monthly HTF support levels On intraday charts — rely on auto-optimized mode For swing entries, combine setups with HTF trend HUD MAHI gives the map. You choose the path. ✔ Final Notes This version is heavily optimized for performance, clarity, and high-probability signals. MAHI does not repaint, and works on all assets including: Stocks Crypto ETFs Forex Futures
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mahipalc tarafından
Abacus Community Williams %R + Bollinger %B📌 Indicator Description (Professional & Clear) Williams %R + Bollinger %B Momentum Indicator (ThinkOrSwim Style) This custom indicator combines Williams %R and Bollinger %B into a single, unified panel to provide a powerful momentum-and-positioning view of price action. Modeled after the ThinkOrSwim version used by professional traders, it displays: ✅ Williams %R (10-period) – Yellow Line This oscillator measures the market's position relative to recent highs and lows. It plots on a 0% to 100% scale, where: 80–100% → Overbought region 20–0% → Oversold region 50% → Momentum equilibrium Williams %R helps identify exhaustion, trend strength, and potential reversal zones. ✅ Bollinger %B (20, 2.0) – Turquoise Histogram Bars %B shows where price is trading relative to the Bollinger Bands: Above 50% → Price is in the upper half of the band (bullish pressure) Below 50% → Price is in the lower half (bearish pressure) Near 100% → Price pushing upper band (possible breakout) Near 0% → Price testing lower band (possible breakdown) The histogram visually represents momentum shifts in real time, creating a clean profile of volatility and strength. 🎯 Why This Combination Works Together, Williams %R and Bollinger %B reveal: Momentum direction Overbought/oversold conditions Volatility compression & expansion Trend continuation vs reversal zones High-probability inflection points Williams %R shows oscillation and exhaustion, while %B shows pressure inside volatility bands. The combination helps identify whether momentum supports the current trend or is weakening. 🔍 Use Cases Detect early trend reversals Validate breakouts and breakdowns Spot momentum failure in price extremes Confirm pullbacks and continuation setups Time entries and exits with higher precision 💡 Best For Swing traders Momentum traders Trend-followers Options traders (for timing premium decay or volatility expansion)
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gadielvasquez1988 tarafından
Guardian Pulse + Enhanced All-In-One (FINAL WORKING)GUARDIAN BUY SIGNAL (Lime Candle + Big Green Arrow) All 4 must happen on the same candle: RSI (14) crosses above 35 from below (bouncing out of oversold) Price is above the blue 21 EMA (short-term trend filter) Candle closes green (close > open) Volume is at least 15% above its 20-period average (real buying pressure) → When all four line up = lime candle + huge green “BUY” arrow → That’s your master entry. Buy shares, calls, whatever. GUARDIAN SELL / EXIT SIGNAL (Red Down Arrow) RSI (14) crosses below 65 from above → That’s your “take profits or get out” signal (red down-triangle appears above the bar) Optional Trend Filter (for safety) Only take BUY signals when the overall trend is Bullish (9 EMA > 21 EMA > 200 EMA) The info box in the top-right will say “Bullish” in green when it’s safe.
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dustinappenzeller1987 tarafından
Crypto Grid 2025+ Long Only (Asym TP)Crypto Grid 2025+ Long Only (Asymmetric Take-Profit) is a long-only mean-reversion grid strategy designed for intraday cryptocurrency trading. The core idea is to accumulate long positions as price moves downward within a locally defined price range and to exit positions on upward retracements. The strategy automatically builds a multi-level grid between the highest and lowest price over a user-defined lookback period (“range length”). Each grid level acts as a potential entry point when price crosses it from above. Key Features 1. Long-only grid logic The strategy opens long positions only, progressively increasing exposure as price moves into lower grid levels. 2. Asymmetric take-profit mechanism Instead of taking profit strictly at the next grid level, the strategy allows targeting multiple levels above the entry point. This increases the average profit per winning trade and shifts the reward-to-risk profile toward larger, less frequent wins. 3. Optional partial take-profit A portion of each trade can be closed at the nearest grid level, while the remainder is held for a more distant asymmetric target. This balances consistency and profit potential. 4. Volume-based market filter Entries can be restricted to periods of healthy market activity by requiring volume to exceed a moving-average baseline. 5. Capital-scaled position sizing Position size is determined by risk percentage, grid spacing, and a dynamic sizing mode (original / conservative / aggressive). 6. Built-in risk controls global stop below the lower boundary of the range, global take-profit above the upper boundary, automatic shutdown after a configurable loss-streak. Market Philosophy This strategy belongs to the mean-reversion family: it expects short-term overshoots to revert back toward mid-range liquidity zones. It is not trend-following. It performs best in choppy, range-bound, or slow-grinding markets — especially on liquid crypto pairs. Recommended Use Cases Short timeframes (1–15 minutes) High-liquidity crypto pairs Sideways or rotational price action Exchanges with low fees (due to higher order count) Not Intended For Strong trending markets without pullbacks Assets with thin order books Use with leverage without additional risk controls Summary Crypto Grid 2025+ Long Only (Asymmetric TP) is a refined grid-based mean-reversion strategy optimized for modern crypto markets. Its asymmetric take-profit framework is specifically engineered to reduce the classical issue of “small wins and large occasional losses” found in traditional grid systems, giving it a more favorable long-term trade distribution.
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RomanEnlil tarafından
Perfect Trend EMAs (9-21-50-100)This indicator provides a clear, color-coded visual representation of trend strength based on the alignment of four Exponential Moving Averages (EMAs). It is designed to help traders identify "Perfect Trend" setups, where momentum is fully aligned across multiple timeframes, and filter out choppy or ranging markets. How it Works (The Logic) The indicator plots four distinct EMAs (default lengths: 9, 21, 50, and 100). Instead of simply looking for crossovers, this script analyzes the hierarchical stacking of these averages to determine the market state. The color coding follows these specific rules: 🟢 Bullish Alignment (Green): This occurs only when there is a "Perfect Bullish" stack. Logic: EMA 9 > EMA 21 > EMA 50 > EMA 100 Interpretation: Short-term momentum is stronger than long-term momentum, indicating a strong uptrend. 🔴 Bearish Alignment (Red): This occurs only when there is a "Perfect Bearish" stack. Logic: EMA 9 < EMA 21 < EMA 50 < EMA 100 Interpretation: Short-term momentum is weaker than long-term momentum, indicating a strong downtrend. ⚪ Consolidation / Transition (Gray): Logic: Any other combination. Interpretation: The moving averages are intertwined or not perfectly aligned. This usually signals a ranging market, a consolidation phase, or the early stages of a trend reversal before the alignment is confirmed. Features Dynamic Coloring: All EMA lines change color simultaneously to provide an instant visual signal of the market state. Visual Fill: A soft background fill is applied between the fastest (9) and slowest (100) EMA to create a "Trend Cloud," making it easier to spot the expansion and contraction of the trend. Customization: Users can adjust the lengths of all four EMAs in the settings menu to fit different trading styles (e.g., changing to 20/50/100/200). How to Use Trend Following: Traders can look for the lines to turn Green or Red to confirm a trend entry. Filtering Noise: The Gray zones serve as a filter. If the lines are Gray, the trend is not fully established, suggesting caution or a "wait and see" approach. Exits: A change from Green/Red back to Gray can act as an early warning sign that the trend momentum is fading.
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sabinaGM tarafından
Bitcoin Relative Macro StrengthBTC Relative Macro Strength Overview The BTC Relative Macro Strength indicator measures Bitcoin's price strength relative to the global macro environment. By tracking deviations from the macro trend, it identifies potentially overvalued and undervalued market phases. The global macro trend is derived by multiplying the ISM PMI (a widely-used proxy for the business cycle) by a simplified measure of global liquidity. Calculations Global Liquidity = Fed Balance Sheet − Reverse Repo − Treasury General Account + U.S. M2 + China M2 Global Macro Trend = ISM PMI × Global Liquidity Understanding the Global Macro Trend The global macro trend plot combines the ebb and flow of global liquidity with the cyclical patterns of the business cycle. The resulting composite exhibits strong directional correlation with Bitcoin—or more precisely, Bitcoin appears to move in lockstep with liquidity conditions and business cycle phases. This relationship has strengthened notably since COVID, likely because Bitcoin's growing market capitalization has increased its exposure to macro forces. The takeaway is that Bitcoin is acutely sensitive to growth in the money supply (it trends with liquidity expansion) and oscillates with the phases of the business cycle. Indicator Components 📊 Histogram: BTC/Macro Change Displays the rolling percentage change of Bitcoin's price relative to the global macro trend. High values: Bitcoin is outpacing macro conditions (potentially overvalued) Low values: Bitcoin is underperforming macro conditions (potentially undervalued) Color scheme: 🟢 Green = Positive deviation 🔴 Red = Negative deviation 📈 Macro Slope Line Plots the scaled percentage change of the global macro trend itself. Color scheme: 🔵 Teal = BULLISH (slope positive and rising) ⚪ Gray = NEUTRAL (slope and trend disagree) 🟣 Pink = BEARISH (slope negative and falling) FieldDescription BTC/Macro Change : Percentage change of Bitcoin's price vs. the Global Macro Trend (default: 21-bar average) Macro Trend : Composite assessment combining slope direction and trend momentum. Reads BULLISH when both align upward, BEARISH when both align downward, NEUTRAL when they disagree Macro Slope : The global macro trend's average slope expressed as a percentage BTC Valuation : Relative valuation category based on BTC/Macro deviation (Extreme Premium → Extreme Discount) BTC Price : Current Bitcoin price How to Use This indicator is primarily useful for identifying market phases where Bitcoin's price has diverged from the global macro trend. Identify extremes : Look for periods when the histogram reaches elevated positive or negative levels Assess valuation : Use the BTC Valuation reading to gauge relative over/undervaluation Confirm with trend : Check whether macro conditions support or contradict the current price level Mean reversion : Consider that significant deviations from trend historically tend to revert Note: This indicator identifies relative valuation based on macro conditions—it does not predict price direction or timing. Settings Lookback Period - 21 bars - Number of bars for calculating rolling averages Macro Slope Scale - 3.0 - Multiplier for macro slope line visibility
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DamonAndTheSea tarafından
Trend TraderMost trend indicators don’t offer continuation signals or accurate bounce points, so I created this indicator that uses one of the most common trading levels (EMAs). This indicator uses the 50, 100, and 200 EMAs along with WaveTrend signals to trade trends. Buy Signals are filtered so that they only show up when the 100 EMA is above the 200. And Inverse for Sell Signals. This indicator works well with both Stocks and Crypto. Default settings work best on 15 min, 1H, 2H, and 4H. (Chart examples are using Heikin Ashi Candles, on Log Scale.) *Buy and Sell Signals do not repaint. Settings: - Ability to show all buy and sell signals regardless of trend. - To change the sensitivity of the buy and sell signals, change the “Average Length” - (The lower the number the more sensitive, the higher the number the less they pop up) - Ability to change EMA Lengths imgur.com
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SwiperZ tarafından
Supply & demand with qualifieres [By:CienF-OTC]🚀 Supply & Demand (S/D) Zones Indicator - Precision Pattern 🚀 This Advanced Supply and Demand (S/D) Zones Indicator is engineered to identify high-probability zones: Indecisive Base (Consolidation) followed by an Explosive Exit (Expansion), coupled with a strict momentum validation process. 🎯 Key Features and High-Precision Logic 🎯 The indicator filters potential zones through three critical movement stages: 1. Strict Indecisive Base Detection: Rule: A candle is defined as an Indecisive Base if its body is less than or equal to 50% of its total range (High - Low). This accurately captures Dojis, Spinning Tops, and true equilibrium candles. Zone Drawing: The zone covers the price range (High/Low) of one or more consecutive base candles. 2. Validation of the Explosive Exit: The candle immediately following the base must be an Explosive/Decisive Candle, exceeding a minimum body threshold (default 50.0% in the current version) to confirm significant capital entry. 3. Strict Momentum and Freshness Filters The core of the indicator's precision lies in these filters, which you can activate in the settings: 🚫 Anti-Stall Filter (Strict Follow-up): The candle that follows the explosion CANNOT be Indecisive (i.e., its body cannot be $\leq 50\%$ of its range). If the follow-up candle is weak, the zone is rejected for lack of true commitment. (Note: This filter is set to OFF by default in v6.0 for flexibility but highly recommended for high-probability setups). Freshness (Mitigation): Zones that have been previously tested/touched by the price (mitigated) are deactivated and colored gray (optional) or automatically deleted, keeping your chart clean and showing only active, fresh zones.
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Miguel_Palma tarafından
Oracle Protocol — Arch Public (Testing Clone) Oracle Protocol — Arch Public Series (testing clone) This model implements the Arch Public Oracle structure: a systematic accumulation-and-distribution engine built around a dynamic Accumulation Cost Base (ACB), strict profit-gate exit logic, and a capital-bounded flywheel reinvestment system. It is designed for transparent execution, deterministic behaviour, and rule-based position management. Core Function Set 1. Accumulation Framework (ACB-Driven) The accumulation engine evaluates market movement against defined entry conditions, including: Percentage-based entry-drop triggers Optional buy-below-ACB mode Capital-gated entries tied to available ledger balance Fixed-dollar and min-dollar entry rules (as seen in Arch public materials) Automated sizing through flywheel capital Range-bounded ledger for controlled backtesting input Each qualifying buy updates the live ACB, maintains the internal ledger, and forms the next reference point for exit evaluation. No forecasting mechanisms are included. 2. Profit-Gate Exit System Exits are governed by the standard Arch public approach: A sealed ACB reference for threshold evaluation Optional live-ACB visibility Profit-gate triggers defined per asset class Candle-confirmation integration (“ProfitGate + Candle” mode) Distribution only when the smallest active threshold is met This provides a consistent cadence with published Arch diagrams and PDFs. 3. Once-Per-Rally Governance After a distribution, the algorithm locks until price retraces below the most recent accumulation base. Only after re-arming can the next profit gate activate. This prevents over-frequency selling and aligns with the public-domain Oracle behaviour. 4. Quiet-Bars & Threshold Cluster Control A volatility-stabilisation layer prevents multiple exits from micro-fluctuations or transient spikes. This ensures clean execution during fast markets and high volatility. 5. Flywheel Reinvestment Distribution proceeds automatically return to the capital pool where permitted, creating a closed system of: Entry sizing Exit proceeds Ledger-managed capital state All sizing respects capital boundaries and does not breach dollar floors or overrides. 6. Automation Hooks and Integration The script exposes: 3Commas-compatible JSON sizing Entry/exit signalling via alertcondition() Deterministic event reporting suitable for external automation This allows consistent deployment across automated execution environments. 7. Visual Tooling Optional displays include: Live ACB line Exit-guide markers Capital, state, and ledger panels Realized/unrealized outcome tracking based on internal logic only Visual components do not influence execution rules. Operating Notes This model is rule-based, deterministic, and non-predictive. It executes only according to the explicit thresholds, capital limits, and state transitions defined within the script. No discretionary or forward-looking logic is included.
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gleefulJaguar47150 tarafından
CSS_LFU_v0.1Overview: A multi-factor, market-adaptive swing strategy designed for intraday and short-term crypto trading. It synthesizes momentum, volatility, and trend signals into a unified composite score over a configurable lookback window. The strategy leverages a modular, signal-weighted approach to ensure robust entry timing while remaining compatible with human-in-the-loop validation and algorithmic execution. Core Modules: AJFFRSI (RSX-based Momentum): Measures smoothed price momentum with noise-reduction filters to detect crossovers relative to the QQE trailing stop. QQE (Quantitative Qualitative Easing RSI): A modified RSI with a dynamic trailing stop that adapts to short-term volatility, identifying exhaustion and potential reversal points. Keltner Channel Zones: Determines overextension relative to trend, providing buy/sell zones based on ATR-banded EMA. WaveTrend Oscillator: Confirms short-term swings and market direction through smoothed oscillator cross signals. Rolling Composite Score: Aggregates module signals over a unified lookback (e.g., 144 bars) to normalize noise and capture consistent trends. Signal Logic: Each module outputs a discrete score (+1 / 0 / -1). The rolling composite score sums all module scores over the lookback period. Long positions trigger when the rolling score meets or exceeds the long threshold. Short positions trigger when the rolling score meets or falls below the short threshold. Multi-dimensional signal aggregation reduces false positives from single indicators. Rolling lookback ensures score normalization across different volatility regimes. Highly modular: easy to adapt modules or weights to different instruments or timeframes. Fully compatible with automated execution pipelines, including custom exchange screener bots. Use Case: Ideal for quant-driven altcoin or multi-asset strategies where high-frequency validation is critical and sequential module weighting enhances trend flip detection.
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losfalco-User-1f670 tarafından
Opening Range Box, 2 SessionsOpening Range & Session Box Indicator This indicator automatically draws Opening Range (OR) boxes and Session Boxes based on specific time zone settings, helping you visualize key trading periods across different global markets. Key Features: Custom Sessions: Define two independent trading sessions (e.g., New York and London). Time Zone Selection: Choose the exact time zone for each session from a simple dropdown menu, ensuring accurate session mapping regardless of your chart's time zone. Opening Range Definition: The initial portion of each session (defined by the Opening Range Minutes input) establishes the high and low of the box. Offset Lines: Automatically draws two percentage offset lines inside the box, allowing you to easily track price movement relative to the Opening Range high and low (e.g., 10% retracement levels). How to Use the Inputs: Session A/B Timezone - Select the time zone for Session A (e.g., America/New_York). Session A/B Time - Define the start and end time for Session A (e.g., 0930-1600). Opening Range Minutes - Set how long the initial opening range period lasts (e.g., 30 minutes). Percent from High/Low for Line - Set the percentage distance for the inner offset lines (e.g., 10.0 for 10% retracement). Number of Boxes to Show - Controls the number of historical session boxes and lines that remain visible on the chart.
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andrejsemjonovs tarafından
VWAP, Vol & RTH Stats (Custom Layout)VWAP, Volume & RTH Stats Box This indicator displays a data table in the top-right corner of the chart designed for intraday liquidity analysis. It fetches the true "Daily" volume to ensure accuracy regardless of the timeframe used. It specifically isolates Regular Trading Hours (RTH) to calculate the daily range performance (Max Squeeze % and Max Drop %), filtering out pre-market noise to show the true strength of the move. Includes full customization for dimensions, margins, and colors.
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Giac94 tarafından