Vigor Micro-Trend Strategy)STRATEGY NAME: VIGOR MICRO-TREND STRATEGY (LONG ONLY)
This is a compliant description for a Closed-Source Subscription Strategy.
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1. STRATEGY OVERVIEW AND CORE LOGIC
The Vigor Micro-Trend Strategy is an advanced, high-frequency, LONG ONLY system for short-term trends. It uses a two-tiered MA structure and dynamic risk. Configured for MAX FREQUENCY (most filters minimized).
PRIMARY ENTRY CONFLUENCE (LONG Only):
* Scalping Signal: Bullish cross of a Fast MA (13) over a Slow MA (34). User choice between standard EMA or the low-lag Kaufman Adaptive Moving Average (KAMA).
* GDC Trend Filter: EMA 50 must be above a hidden EMA 200 (bullish environment). Also enters on GDC Retests off the EMA 50.
* Session Filter: Trading limited to active hours (default UTC 12:00 to 20:00).
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2. DYNAMIC RISK AND EXIT MANAGEMENT
* Dynamic Contract Sizing: Calculates contract size to limit loss on the initial SL to a fixed Max Risk per Trade (default $10.00$ USD), based on current ATR.
* Initial Stop Loss (SL): Tight SL based on 14-period ATR (default factor 0.5).
* Split Exits & Trailing: 50% exits at a 1R profit target; 50% managed by an ATR-based Trailing Stop Loss (TSL).
* Breakeven (BE) Lock: A BE stop is initiated once the trade is 2 ticks in profit.
* Max Bars Exit: Trades are closed if they exceed 20 bars in duration (strict scalping).
* Daily Profit Floor Protection: If closed profit reaches the $110 Profit Floor, the script will automatically exit any open trade if total P&L drops below $110 to protect gains. Trading stops if the $500 Max Daily Loss is reached.
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3. BACKTESTING & MANDATORY DISCLOSURES
* Required Configuration: Commissions and slippage MUST be configured by the user in the Strategy Properties window.
* Trade Sample Size: The strategy must generate over 100 trades for statistically reliable results.
MANDATORY DISCLAIMER: Past performance is not necessarily indicative of future results. Trading involves substantial risk of loss. All claims of historical performance are substantiated by the backtesting results on the chart, but these results do not guarantee actual trading outcomes.
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Fiyat - 55 EMA Uzaklık SinyaliThis indicator generates a signal when the price moves a certain percentage away from the 55-period Exponential Moving Average (EMA).
It helps traders identify when the market is stretched too far from its mean level, which can indicate potential reversal or continuation zones.
⚙️ How It Works
Calculates the 55 EMA on the selected chart.
Measures the percentage distance between the current price and the 55 EMA.
When the price distance exceeds the user-defined threshold (default: 0.50%), a visual signal (orange triangle) appears on the chart.
The background also highlights the signal candle.
🧩 Inputs
EMA Length: Default = 55 (can be changed).
Distance Threshold (%): Default = 0.50 → Change to detect stronger or weaker price deviations.
Ascent Scalper - BULLISH ONLYStrategy Name: Ascent Scalper - BULLISH ONLY
This is a compliant description for a Closed-Source Subscription Strategy.
1. Overview and Core Logic
The Ascent Scalper is a sophisticated, trend-following strategy designed exclusively for long (bullish) scalping on low-timeframe charts. It uses a multi-indicator confluence model based on standard candlestick data to identify and capitalize on strong bullish momentum during active trading hours.
The long entry rule requires the simultaneous alignment of the following four conditions:
A. Trend Confirmation (Standard Close EMAs): The core trend is confirmed by the 8-period Fast EMA crossing and remaining above the 21-period Slow EMA, using the standard bar closing price.
B. Momentum Strength (ADX/RSI): Directional movement must be validated by the 14-period ADX exceeding a threshold (default 18), alongside the 14-period RSI being above a threshold (default 45), confirming strong momentum.
C. Volume Validation: A dynamic filter requires the current bar's volume to be greater than the 20-period Volume MA (default 1.0x) to ensure high market conviction at the time of entry.
D. Session Filter: Entries are restricted to a defined trading window (default UTC 12:00 to 20:00) to capture maximum market liquidity.
2. Trade Management and Realistic Risk
This strategy employs a dynamic, partial-exit risk management plan based on the Average True Range (ATR).
Initial Stop Loss (SL): The initial SL is tight and calculated based on the 14-period ATR multiplied by an adjustable factor (default 0.7).
Split Exits (P&L Management): The position is split into two halves upon entry:
A. $50\%$ Position (TP1): Exited at a 1R profit target, where 1R is equal to the initial ATR-based SL value.
B $50\%$ Position (Run): Managed by a Trailing Stop Loss (TSL), with trail points also calculated dynamically using the current ATR (default multiplier 1.2x).
Breakeven (BE) Lock: The optional Breakeven feature (default: ON) places a Breakeven stop (entry price plus 1 tick) once the position is 2 ticks in profit, locking in capital protection rapidly.
Daily Risk Controls: The strategy includes an optional (default: OFF) Max Daily Loss control (default $1,000), which stops trading for the day if the cumulative closed P&L exceeds the loss cap.
3. Backtesting Results & Mandatory Disclosures
The default settings are configured for high-liquidity markets. Users must comply with the following:
A. Risk Per Trade: The ATR-based SL system ensures the risk per trade is highly variable but generally kept below $5\%$ of a reasonable account size.
B. Commissions/Slippage: Commissions and slippage MUST be configured by the user in the Strategy Properties window to ensure backtest results accurately reflect real-world execution costs.
C. Trade Sample Size: The strategy must be run on a dataset that generates over 100 trades for statistically valid results.
MANDATORY DISCLAIMER: Past performance is not necessarily indicative of future results. Trading involves substantial risk of loss. All claims of historical performance are substantiated by the backtesting results on the chart, but these results do not guarantee actual trading outcomes.
Trading Lab: Sessions ORBThis indicator automatically plots the first 15-minute Opening Range Breakout (ORB) for each major trading session — Tokyo, London, and New York — and highlights them with shaded zones that scroll dynamically with your chart.
Each session’s range is defined by the high and low of its first 15 minutes, and the zones extend across the chart so you can instantly see where price is trading relative to the prior session’s structure.
Once the range is established, the indicator generates Buy and Sell arrows whenever price closes above or below the session’s ORB zone.
Optionally, trades are filtered by:
EMA Trend Filter: Confirms that price is trending in the direction of the breakout (fast > slow for longs, slow > fast for shorts).
ADX Strength Filter: Ensures volatility and trend strength exceed your chosen threshold.
ATR Range Filter: Prevents signals from forming when the session’s ORB is too small (e.g., low-volatility markets).
You can configure each filter or disable them entirely for pure price-action breakouts.
Venzitech ScalperVenzitech Scalper: Compliant Description (Plaintext)
This strategy is a complex, multi-indicator trend-following system designed for intraday scalping on low-timeframe charts. It uses a confluence of four distinct filters to ensure high-conviction entries during optimal momentum and volume.
1. Overview and Core Logic
The entry signal requires simultaneous confirmation from the following components:
Trend Confirmation (Heikin-Ashi EMAs): The primary trend is established using Heikin-Ashi price action combined with an EMA (Fast=8) crossing and remaining above an EMA (Slow=21). This provides a smoother, momentum-based trend signal.
Momentum Strength (ADX/RSI): The trend must be validated by the ADX (default 16) to confirm sufficient directional strength, and the RSI (default 42) to confirm continued positive internal momentum.
Volume Validation: A dynamic filter requires the current bar's volume to be greater than the 20-period Volume MA (multiplied by the default 1.0 factor), ensuring trades are executed during periods of active market participation.
Session & Volatility Filter: Trades are restricted to a defined trading window (default UTC 12:00 to 20:00). The script also includes an optional Volatility Cap filter based on a long-term ATR to suppress entries during extreme volatility.
2. Trade Management and Realistic Risk
This strategy employs a robust, partial-exit risk management plan driven by the Average True Range (ATR) for sustainable risk control.
Initial Stop Loss (SL): The initial SL is tight and calculated dynamically using the 14-period ATR multiplied by an adjustable factor (default 0.7). This size is designed for micro-losses appropriate for scalping and is adapted slightly during high volatility.
Partial Exits & Profit Taking: The position is split into two equal halves for exit management:
50% Position (TP1): Exited at a 1R profit target, where 1R is defined as the exact value of the initial ATR-based SL.
50% Position (Run): Managed by a Trailing Stop Loss (TSL), with trail points also calculated dynamically using the current ATR.
Breakeven (BE) Lock: An optional feature (default: ON) automatically moves the stop loss to Breakeven (entry price plus 1 tick) once the position is 2 ticks in profit, locking in capital protection rapidly.
Daily Risk Controls: The strategy includes mandatory daily money management features (default: ON):
Max Daily Loss Stop: Stops all trading for the day if the cumulative closed P&L reaches -$500 (default).
Profit Protection Floor: If the closed P&L reaches a minimum threshold (default $110), any open position will be closed if the total daily P&L drops back below this floor, locking in minimum daily gains.
3. Strategy Properties & Backtesting Disclosure
The default settings are configured for high-liquidity futures or FX markets. Users must ensure their backtesting environment is realistic:
Risk Per Trade: The ATR-based SL aims to keep the risk per trade below 5% of a reasonable account size, which is critical for sustainable trading.
Contracts/Size: Default quantity is 3 contracts.
Commissions/Slippage: Commissions and slippage MUST be configured by the user in the Strategy Properties window to reflect real-world brokerage fees and execution costs.
Sample Size: The strategy should be run on a dataset that generates over 100 trades for statistically valid results.
MANDATORY DISCLAIMER: Past performance is not necessarily indicative of future results. Trading involves substantial risk. All claims of historical performance are substantiated by the backtesting results on the chart, but these results do not guarantee actual trading outcomes. Keep your language realistic.
Trend Alignment TableThe Trend Alignment Table is a clean, visual tool designed to quickly assess trend direction and alignment across multiple moving averages — without cluttering your chart.
Instead of plotting moving average lines, this indicator displays a compact on-chart table showing each selected MA and its corresponding trend status using color-coded circles.
🧩 How It Works
Each circle represents the relationship between price and its corresponding moving average (MA):
Price vs. MA MA Direction Circle Color Meaning
Above Rising 🟢 Green Bullish continuation
Above Falling 🟡 Yellow Weakening bullishness
Below Falling 🔴 Red Bearish continuation
Below Rising 🟡 Yellow Weakening bearishness
⚙️ Features
Up to 4 customizable moving averages
Type: SMA, EMA, SMMA (RMA), WMA, VWMA
Source: Any price source (close, open, etc.)
Length: Fully adjustable
Dynamic color-coded circles (green, yellow, red by default — fully customizable)
User-selectable table position (top-left, top-right, bottom-left, bottom-right)
Clean visual layout for quick multi-timeframe trend confirmation
📊 Use Cases
Instantly identify trend alignment across short-, medium-, and long-term averages
Confirm trend strength or weakening momentum
Combine with other indicators or strategies for confirmation signals
🧠 Default Settings
MA Type Length Color
MA #1 SMA 5 Green
MA #2 SMA 20 Gold
MA #3 SMA 50 Orange
MA #4 SMA 150 Red
🧰 Created for traders who value clarity.
Whether you trade trends, reversals, or momentum shifts, the Trend Alignment Table gives you a concise, at-a-glance view of the market’s directional structure.
Multi Fixed MAMulti Fixed MA Indicator
This Pine Script indicator displays up to three customizable Moving Averages (MAs) on the chart, allowing users to analyze price trends across different timeframes. Each MA can be independently configured for type, length, timeframe, and colors for bullish and bearish slopes.
Features:
MA Types: Choose from Simple (SMA), Exponential (EMA), Weighted (WMA), or Linear Regression (Linear) MAs.
Customizable Timeframes: Select from a range of timeframes (1min to 1M) for each MA.
Show/Hide MAs: Enable or disable each of the three MAs via checkboxes.
Dynamic Coloring: Each MA changes color based on its slope (bullish or bearish), with user-defined bull and bear colors.
Flexible Lengths: Set individual lengths for each MA.
Usage:
Configure the MA type, length, and timeframe for each of the three MAs.
Toggle visibility for each MA using the "Show" checkboxes.
Customize bull and bear colors for each MA to visually distinguish trends.
The indicator plots MAs on the chart, with colors reflecting whether the current MA value is higher (bullish) or lower (bearish) than the previous value, maintaining the prior color when equal.
Ideal for traders analyzing trends across multiple timeframes with tailored visual cues.
EMA 5 Touch Avoid Strategythis indicator is designed to find the market reversals . with this indicator you can buy at bottom and sell at top mith the smallest stoploss .
Senkou Span AUse it in conjunction with Senkou Span B to create effective kumo alert signals when kumo changes direction: bullish or bearish.
UMA Scalping Level 2025UMA Scalping Level 2025は、「直近で市場が意識している高値・安値ライン」と
「短期トレンドの勢い（EMAクロス）」を同時に捉えるスキャルピング特化型インジケーターです。
"UMA Scalping Level 2025" is a scalping-focused indicator that simultaneously captures the recent key swing highs and lows that the market is reacting to, and the short-term momentum identified by EMA crossovers.
Customized Double Bollinger Bands🌐 English Version This indicator combines two Bollinger Bands to visualize both short-term and extreme volatility zones on the same chart. While a standard Bollinger Band shows how far price deviates from its mean, this customized version displays two standard deviation ranges, allowing traders to distinguish between mild and extreme volatility conditions. Band 1 (StdDev 0.5) captures short-term fluctuations near the price average, while Band 2 (StdDev 3.0) highlights overbought or oversold conditions at market extremes. When the distance between the two bands widens, volatility is increasing; when it narrows, the market is stabilizing or preparing for a breakout. ㆍPrice breaking above Band 2 → Potential overbought or strong bullish trend ㆍPrice falling below Band 2 → Possible oversold or bearish continuation ㆍBands tightening → Volatility compression, potential reversal zone This indicator is designed primarily for volatility visualization rather than directional prediction. For higher accuracy, use it alongside RSI, MACD, or trend-based indicators. Developed by wjdtks255
Customized Double Bollinger Bands🌐 English Version
This indicator combines two Bollinger Bands to visualize both short-term and extreme volatility zones on the same chart.
While a standard Bollinger Band shows how far price deviates from its mean,
this customized version displays two standard deviation ranges, allowing traders to distinguish between mild and extreme volatility conditions.
Band 1 (StdDev 0.5) captures short-term fluctuations near the price average,
while Band 2 (StdDev 3.0) highlights overbought or oversold conditions at market extremes.
When the distance between the two bands widens, volatility is increasing;
when it narrows, the market is stabilizing or preparing for a breakout.
ㆍPrice breaking above Band 2 → Potential overbought or strong bullish trend
ㆍPrice falling below Band 2 → Possible oversold or bearish continuation
ㆍBands tightening → Volatility compression, potential reversal zone
This indicator is designed primarily for volatility visualization rather than directional prediction.
For higher accuracy, use it alongside RSI, MACD, or trend-based indicators.
Developed by wjdtks255
U.T.M.S v2🇷🇺 ОПИСАНИЕ (РУССКИЙ)
U.T.M.S v2 — Чистый EMA-кроссовер с фильтрами
Стратегия для 15м (в первую очередь) и 1ч таймфреймов.
Генерирует сигналы при пересечении EMA(8) и EMA(19) только при подтверждении тренда, объёма, волатильности и времени суток.
Каждая сделка закрывается по фиксированному Take Profit и Stop Loss.
✅ Минимум ложных входов
✅ Работает только в ликвидные часы
✅ Полная фильтрация шума и флэта
🔧 Настройки:
Fast EMA / Slow EMA — периоды скользящих (по умолчанию 8 / 19)
Take Profit % — уровень фиксации прибыли (рек. 2.5%)
Stop Loss % — уровень стоп-лосса (рек. 2.0%)
Фильтры (все включены по умолчанию):
Use 1H Trend Filter — вход разрешён только по направлению тренда на 1H (EMA50 > EMA200 для лонга)
Use Volume Filter — объём должен быть ≥ 1.5× среднего за 20 баров
Min Volume Multiplier — нижний порог объёма (рек. 1.5)
Max Volume Multiplier — верхний порог (рек. 3.0–4.0), отсекает аномальные пампы
Use ATR Volatility Filter — минимальная волатильность (рек. 0.3%)
Use Time Filter (UTC) — торговля только в часы высокой ликвидности: 12:00–18:00 и 20:00–02:00 UTC
💡 Идеальна для ручной торговли или подключения сигнальных ботов.
🇬🇧 DESCRIPTION (ENGLISH)
U.T.M.S v2 — Clean EMA Crossover with Filters
Strategy for 15m (primarily) and 1h timeframes.
Generates signals when the EMA(8) and EMA(19) cross, only if trend, volume, volatility, and time of day are confirmed.
Each trade is closed with a fixed Take Profit and Stop Loss.
✅ Low noise, high-quality signals
✅ Active only during high-liquidity hours
✅ Fully protected against flat and fakeouts
🔧 Inputs:
Fast EMA / Slow EMA — moving average periods (default: 8 / 19)
Take Profit % — profit target (suggested: 2.5%)
Stop Loss % — stop loss level (suggested: 2.0%)
Filters (all enabled by default):
Use 1H Trend Filter — trades only in 1H trend direction (EMA50 > EMA200 for long)
Use Volume Filter — volume must be ≥ 1.5× 20-bar average
Min Volume Multiplier — minimum volume threshold (suggested: 1.5)
Max Volume Multiplier — maximum volume cap (suggested: 3.0–4.0), filters out pumps/dumps
Use ATR Volatility Filter — minimum volatility (suggested: 0.3%)
Use Time Filter (UTC) — active only during high-liquidity sessions: 12:00–18:00 & 20:00–02:00 UTC
💡 Perfect for manual trading or webhook-based signal bots.
多指标量化交易DIY- The indicator includes a very large menu of leading tools, each with its own logic to determine uptrend or downtrend impulses. Highlights include:
- Range Filter: Uses a dynamic centerline and bands computed via conditional EMA/SMA and range sizing to define directional movement. It can operate in a default mode or an alternative “DW” mode.
- Rational Quadratic Kernel (RQK): Applies a kernel smoothing model (Nadaraya Watson) to detect uptrends and downtrends with a focus on noise reduction.
- Supertrend, Half Trend, SSL Channel: Classic trend-following tools that derive direction from ATR-based bands or moving average channels.
- Ichimoku Cloud and SuperIchi: Multi-component systems validating trend via cloud position, conversion/base line relationships, projected cloud, and lagging span.
- TSI (True Strength Index), DPO (Detrended Price Oscillator), AO (Awesome Oscillator), MACD, STC (Schaff Trend Cycle), QQE Mod: Momentum and cycle tools that parse direction from crossovers, zero-line behavior, and momentum shifts.
- Donchian Trend Ribbon, Chandelier Exit: Trend and exit tools that can validate breakouts or sustained trend strength.
- ADX/DMI: Measures trend strength and directional movement via +DI/-DI relationships and minimum ADX thresholds.
- RSI and Stochastic: Use crossovers, level exits, or threshold filters to gate entries based on overbought/oversold dynamics or relative strength trends.
- Vortex, Chaikin Money Flow, VWAP, Bull Bear Power, ROC, Wolfpack Id, Hull Suite: A diverse set of directional, momentum, and volume-based indicators to suit different markets and styles.
- Trendline Breakout and Range Detector: Price-behavior filters that confirm signals during breakouts or within defined ranges.
Confirmation Filters
- Each filter is optional. When enabled, it must validate the leading condition for a signal to pass. Examples:
- EMA Filter: Requires price to be above a specified EMA for longs and below for shorts, filtering signals that contradict broader trend or baseline levels.
- 2 EMA Cross and 3 EMA Cross: Enforce moving average cross conditions (fast above slow for long, the reverse for short) or a three-line stacking logic for more stringent trend alignment.
- RQK, Supertrend, Half Trend, Donchian, QQE, Hull, MACD (crossover vs. zero-line), AO (zero line or AC momentum variants), SSL: Each adds its characteristic validation pattern.
- RSI family (MA cross, exits OB/OS zones, threshold levels) plus RSI MA direction and RSI/RSI MA limits: Multiple ways to constrain signals via relative strength behavior and trajectories.
- Choppiness Index and Damiani Volatility: Prevent entries during ranging conditions or insufficient volatility; choppiness thresholds and volatility states gate the trade.
- VWAP, Volume modes (above MA, simple up/down, delta), Chaikin Money Flow: Volume and flow conditions that ensure signals happen in supportive liquidity or accumulation/distribution contexts.
- ADX/DMI thresholds: Demand a minimum trend strength and directional DI alignment to reduce whipsaw trades.
- Trendline Breakout and Range Detector: Confirm that the price is breaking structure or remains within active range consistent with the leading setup.
- By combining several filters you can create strict, conservative entries or looser setups depending on your goals.
Range Filter Engine
- A core building block, the Range Filter uses conditional EMA and SMA functions to compute adaptive bands around a dynamic centerline. It supports two types:
- Type 1: The centerline updates when price exceeds the band thresholds; bands define acceptable drift ranges.
- Type 2: Uses quantized steps (via floor operations) relative to the previous centerline to handle larger moves in discrete increments.
- The engine offers smoothing for range values using a secondary EMA and can switch between raw and averaged outputs. Its hi/lo bands and centerline compose a corridor that defines directional movement and potential breakout confirmation.
Signal Construction
- The script computes:
- leadinglongcond and leadingshortcond : The primary directional signals from the chosen leading indicator.
- longCond and shortCond : Final signals formed by combining the leading conditions with all enabled confirmations. Each confirmation contributes a boolean gate. If a filter is disabled, it contributes a neutral pass-through, keeping the logic intact without enforcing that condition.
- Expiry Logic: The code counts consecutive bars where the leading condition remains true. If confirmations do not line up within the user-defined “Signal Expiry Candle Count,” the setup is abandoned and the signal does not trigger.
- Alternation: An optional state ensures that long and short signals alternate. This can reduce repeated entries in the same direction without a clear reset.
- Finally, longCondition and shortCondition represent the actionable signals after expiry and alternation logic. These drive the label plotting and alert conditions.
Visualization
- Buy and Sell Labels: When longCondition or shortCondition confirm, the script plots annotated labels directly on the chart, making entries easy to see at a glance. The labels use color coding and clear text tags (“long” vs. “short”).
- Dashboard: A table summarizes the status of the leading indicator and all confirmations. Each row shows the indicator label and whether it passed (✔️) or failed (❌) on the current bar. This intensely practical UI helps you diagnose why a signal did or did not trigger, empowering faster strategy iteration and parameter tuning.
- Failed Confirmation Markers: If a setup expires (count exceeds the limit) and confirmations failed to align, the script can mark the chart with a small label and provide a tooltip listing which confirmations did not pass. It’s a helpful audit trail to understand missed trades or prevent “chasing” invalid signals.
- Data Window Values: The script outputs signal states to the data window, which can be useful for debugging or building composite conditions in multi-indicator templates.
Inputs and Parameters
- You control the indicator from a comprehensive input panel:
- Setup: Signal expiry count, whether to enforce alternating signals, and whether to display labels and the dashboard (including position and size).
- Leading Indicator: Choose the primary signal generator from the large list.
- Per-Filter Toggles: For each confirmation, a respect... toggle enables or disables it. Many include sub-options (like MACD type, Stochastic mode, RSI mode, ADX variants, thresholds for choppiness/volatility, etc.) to fine-tune behavior.
- Range Filter Settings: Choose type and behavior; select default vs. DW mode and smoothing. The underlying functions adjust band sizes using ATR, average change, standard deviation, or user-defined scales.
- Because everything is customizable, you can adapt the indicator to different assets, volatility regimes, and timeframes.
Alerts and Automation
- The script defines alert conditions tied to longCondition and shortCondition . You can set these alerts in your chart to trigger notifications or webhook calls for automated execution in external bots. The alert text is simple, and you can configure your own message template when creating alerts in the chart, including JSON payloads for algorithmic integration.
Typical Workflow
- Select a Leading Indicator aligned with your style. For trend following, Supertrend or SSL may be appropriate; for momentum, MACD or TSI; for range/trend-change detection, Range Filter, RQK, or Donchian.
- Add a few key Confirmation Filters that complement the leading signal. For example:
- Pair Supertrend with EMA Filter and RSI MA Direction to ensure trend alignment and positive momentum.
- Combine MACD Crossover with ADX/DMI and Volume Above MA to avoid signals in low-trend or low-liquidity conditions.
- Use RQK with Choppiness Index and Damiani Volatility to only act when the market is trending and volatile enough.
- Set a sensible Signal Expiry Candle Count. Shorter expiry keeps entries timely and reduces lag; longer expiry captures setups that mature slowly.
- Observe the Dashboard during live markets to see which filters pass or fail, then iterate. Tighten or loosen thresholds and filter combinations as needed.
- For automation, turn on alerts for the final conditions and use webhook payloads to notify your trading robot.
Strengths and Practical Notes
- Flexibility: The indicator is a toolkit rather than a single rigid model. It lets you test different combinations rapidly and visualize outcomes immediately.
- Clarity: Labels, dashboard, and failed-confirmation markers make it easy to audit behavior and refine settings without digging into code.
- Robustness: The expiry and alternation options add discipline, avoiding the temptation to enter late or repeatedly in one direction without a reset.
- Modular Design: The logical gates (“respect…”) make the behavior transparent: if a filter is on, it must pass; if it’s off, the signal ignores it. This keeps reasoning clean.
- Avoiding Overfitting: Because you can stack many filters, it’s tempting to over-constrain signals. Start simple (one leading indicator and one or two confirmations). Add complexity only if it demonstrably improves your edge across varied market regimes.
Limitations and Recommendations
- No single configuration is universally optimal. Markets change; tune filters for the instrument and timeframe you trade and revisit settings periodically.
- Trend filters can underperform in choppy markets; likewise, momentum filters can false-trigger in quiet periods. Consider using Choppiness Index or Damiani to gate signals by regime.
- Use expiry wisely. Too short may miss good setups that need a few bars to confirm; too long may cause late entries. Balance responsiveness and accuracy.
- Always consider risk management externally (position sizing, stops, profit targets). The indicator focuses on signal quality; combining it with robust trade management methods will improve results.
Example Configurations
- Trend-Following Setup:
- Leading: Supertrend uptrend for longs and downtrend for shorts.
- Confirmations: EMA Filter (price above 200 EMA for long, below for short), ADX/DMI (trend strength above threshold with +DI/-DI alignment), Volume Above MA.
- Expiry: 3–4 bars to keep entries timely.
- Result: Strong bias toward sustained moves while avoiding weak trends and thin liquidity.
- Mean-Reversion to Momentum Crossover:
- Leading: RSI exits from OB/OS zones (e.g., RSI leaves oversold for long and leaves overbought for short).
- Confirmations: 2 EMA Cross (fast crossing slow in the same direction), MACD zero-line behavior for added momentum validation.
- Expiry: 2–3 bars for responsive re-entry.
- Result: Captures momentum transitions after short-term extremes, with extra confirmation to reduce head-fakes.
- Range Breakout Focus:
- Leading: Range Filter Type 2 or Donchian Trend Ribbon to detect breakouts.
- Confirmations: Damiani Volatility (avoid low-volatility false breaks), Choppiness Index (prefer trend-ready states), ROC positive/negative threshold.
- Expiry: 1–3 bars to act on breakout windows.
- Result: Better alignment to breakout dynamics, gating trades by volatility and regime.
Conclusion
- This indicator is a comprehensive, configurable framework that merges a chosen leading signal with an array of corroborating filters, disciplined expiry handling, and intuitive visualization. It’s designed to help you build high-quality entry signals tailored to your approach, whether that’s trend-following, breakout trading, momentum capturing, or a hybrid. By surfacing pass/fail states in a dashboard and allowing alert-based automation, it bridges the gap between discretionary analysis and systematic execution. With sensible parameter tuning and thoughtful filter selection, it can serve as a robust backbone for signal generation across diverse instruments and timeframes.
Gunzo Trend Sniper For Loop🧠 Gunzo Trend Sniper For Loop — Adaptive Trend Momentum Framework
The Gunzo Trend Sniper For Loop is a precision-built, adaptive trend analysis system designed to expose hidden trend strength, exhaustion points, and directional momentum within any market — from cryptocurrencies to equities and forex.
At its core, this indicator integrates a loop-based comparative engine with a multi-type adaptive moving average filter, producing a highly responsive yet smooth measure of directional sentiment.
⚙️ Core Concept
Gunzo Trend Sniper quantifies market bias by comparing the current smoothed weighted average of price to its historical values across a dynamic lookback window.
Through this iterative “for loop” scoring process, the indicator tallies how many of the recent bars exhibit higher or lower values than the present one — forming a trend strength score that oscillates between bullish and bearish dominance.
In essence:
Positive score values indicate sustained upward bias — more candles recently closed below the current value.
Negative or low score values signal downward pressure — suggesting that recent candles are outperforming the current value.
📊 Interpreting the Chart
The indicator plots two complementary visuals:
Gunzo Trend Score (Oscillator Panel)
Green Zones (Above Upper Threshold) → Confirmed uptrend momentum and accumulation.
Red Zones (Below Lower Threshold) → Confirmed downtrend pressure and potential distribution.
Neutral Region (Between Thresholds) → Consolidation or transitional phases.
Gunzo Trend Line (Overlay on Price Chart)
The plotted line dynamically changes color:
🟩 Green: Confirmed bullish trend bias
🟥 Red: Confirmed bearish momentum
⚪ Gray: Neutral or indecisive period
This color transition acts as a visual confirmation layer, aligning the oscillator’s internal score with price structure.
🔍 How to Use It
1. Trend Identification:
When the oscillator consistently remains above the upper threshold, and the overlay line turns green, the market exhibits strong bullish continuation.
Sustained readings below the lower threshold with a red overlay signal dominant bearish control.
2. Entry Confirmation:
Combine this indicator with breakout or pullback setups. For example, enter long positions when:
The oscillator crosses above the upper threshold from below,
The overlay line flips from red to green, confirming new momentum.
Short entries follow the inverse logic.
3. Divergence Detection:
Price forming higher highs while the Gunzo Trend Score forms lower highs may hint at momentum exhaustion — signaling potential reversals.
4. Adaptive Thresholding:
Adjust ThresholdL and ThresholdS to fit volatility.
Tighter thresholds increase sensitivity (useful in lower timeframes).
Wider thresholds filter out noise (ideal for daily or higher intervals).
🧭 Strategic Insights
The Gunzo Trend Sniper is more than an oscillator — it’s a multi-dimensional market bias model.
Its comparative logic captures how consistent recent directional strength has been, effectively quantifying trend persistence. This makes it especially valuable for:
Momentum confirmation before breakouts.
Avoiding false reversals during volatile consolidation phases.
Detecting early trend slowdowns before major reversals.
| Parameter | Description |
| ------------------------------- | ------------------------------------------------------------------- |
| `MA Type` | Selects the smoothing algorithm (SMA, EMA, SMMA, or WMA).
| `MA Source` | Price input (default: OHLC4). |
| `Gunzo Length` | Lookback for the moving average engine. |
| `Smoothing Length` | Additional smoothing layer for refined signals. |
| `From / To` | Defines the historical range for the scoring loop. |
| `Threshold Uptrend / Downtrend` | Determines when a market is considered strongly bullish or bearish. |
💡 Pro Tips
Combine with volume-based indicators or ATR filters for volatility-adjusted entries.
Use in conjunction with higher timeframe confirmation — e.g., align the Gunzo Trend on 4H and 1D for stronger bias.
Works exceptionally well with trend-following strategies, especially when paired with trailing stop systems.
ULTIMATE SMC DASHBOARD — Pro v2.1 (ICT/SMC)## 🔍 1. General Objective of the Script
This script is a **complete visual and algorithmic SMC (Smart Money Concepts) analysis system** that:
* Automatically identifies **market structures** (BOS / CHoCH / Liquidity Grab).
* Detects and dynamically maintains **Fair Value Gaps (FVG)** according to **ICT methodology**.
* Draws and tracks the evolution of **Order Blocks (OB)** and **Breaker Blocks (BRK)**.
* Calculates **MACD / Volume divergences**.
* Analyzes **trend, volume, and buyer/seller dominance**.
* Displays a **clear and dynamic dashboard** directly on the chart.
* Builds the foundation for **reversal / continuation probability models**.
---
## ⚙️ 2. Input Parameters
The script is highly configurable. Inputs are organized by sections:
### Structure (ICT)
* **Pivot left/right (swing length)** → determines the swing size for HH/LL detection.
* **OB lookback** → number of candles to look back for an Order Block after a BOS.
* **Show BOS / CHoCH / Liquidity Grab** → enables or disables structural elements.
### Imbalances (FVG)
* Enables the **display of Fair Value Gaps**.
* Manages minimum size, transparency, and **dynamic reduction** when partially filled.
* Limits the **maximum number of FVGs** displayed simultaneously.
### Order Blocks / Breakers
* Enables **Order Blocks** and **Breaker Blocks**.
* Defines their **colors, opacity**, and **dynamic behavior**.
* Automatically removes outdated OBs exceeding the maximum limit.
### Signal & Probabilities
* Sets the **lookback period** for structure calculation.
* Calculates **average volume (MA)** to detect dominance and momentum.
* Defines the **probability threshold** for signals (not yet visible in this snippet).
### RSI / EMA / Divergences / Sentiment
* Prepares additional indicator modules, such as:
* MACD divergence detection
* RSI / EMA visualization
* Market sentiment and funding metrics
---
## 🧠 3. Market Structure Logic (ICT Core)
### a. Pivot Detection
Uses **ta.pivothigh** and **ta.pivotlow** to detect **Higher Highs (HH)** and **Lower Lows (LL)**.
### b. Break of Structure (BOS)
A BOS occurs when price breaks a validated swing high or low:
* **bullBOS** → bullish break.
* **bearBOS** → bearish break.
### c. Change of Character (CHoCH)
A **CHoCH** is detected when BOS direction changes (e.g., a bullish BOS followed by a bearish BOS).
### d. Liquidity Grab
Detection of **liquidity sweeps**:
* **grabUp**: wick above the last high, closing below.
* **grabDown**: wick below the last low, closing above.
All these signals feed into the **main trend bias** (Bull / Bear / Flat).
---
## 🧱 4. Fair Value Gaps (FVG)
The FVG logic strictly follows **ICT principles**:
* **Bullish FVG:** if `low > high `
* **Bearish FVG:** if `high < low `
Each FVG becomes a **dynamic box**:
* Shrinks in real time as price partially fills it.
* Automatically deletes itself once fully closed.
* Color and opacity depend on direction (green = bullish, red = bearish).
This is one of the **most complex parts** of the code, managing:
* Arrays of box objects (`array`)
* Real-time updates for every candle
* Automatic cleanup to prevent chart overload
---
## 🧱 5. Order Blocks (OB) and Breaker Blocks
An **Order Block** is generated:
* After a BOS,
* By identifying the last candle opposite to the trend before the break.
Examples:
* Bullish BOS → Bullish OB = last **red candle** before the breakout.
* Bearish BOS → Bearish OB = last **green candle** before the breakdown.
Each OB:
* Is visualized as a **colored rectangle** (cyan or orange).
* Becomes **inactive** once mitigated (touched).
* Is **removed and converted** into a Breaker Block if invalidated (opposite side broken).
The system uses arrays similar to FVGs to maintain **visual cleanliness** and **chart efficiency**.
---
## 📊 6. Volume and Dominance
The script computes:
* A **moving average (SMA)** of volume.
* Whether the current volume is abnormally **high or low**.
* Whether candles are **buyer- or seller-dominant**.
Simplified display:
* 🔥 **High Volume**
* 📉 **Low Volume**
* 🟩 **Buyers Dominant**
* 🟥 **Sellers Dominant**
* ⚪️ **Neutral**
---
## 🧩 7. Textual Dashboard
Text variables such as:
* `struct_txt` → displays BOS, CHoCH, Grab info
* `fvg_txt` → “🟢 Open” or “🔴 Close”
* `ob_txt` → “🟩 Open” or “🟥 Close”
These feed a **visual dashboard** (not yet displayed in this excerpt), summarizing the entire market state in real time.
---
## 💡 8. Summary
The script:
* Observes **market structure (ICT)**.
* Automatically draws **institutional imbalance and interest zones** (OB, FVG).
* Dynamically manages their evolution.
* Provides **visual structural, volume, and sentiment signals**.
* Builds a **complete foundation for a professional ICT/SMC dashboard**.
MTF 200 SMAMulti-Timeframe (MTF) 200 SMA: Your Universal Trend Guide
Tired of switching timeframes just to check the major moving averages?
The MTF 200 SMA indicator is a powerful, customizable tool designed to give you a clear, comprehensive view of the trend across multiple timeframes, all on a single chart. It's built on Pine Script v6 for stability and performance.
Key Features:
9 MTF Lines: Simultaneously plot the 200 Simple Moving Average (SMA) for 30m, 1h, 2h, 3h, 4h, 6h, 8h, Daily, and Weekly charts. Understand the overall market structure at a glance.
Single-Click Toggle: Use the 'Current Chart TF Only' checkbox to instantly switch from the crowded MTF view to showing only the standard 200 SMA for your current chart resolution. Perfect for focusing on immediate price action.
Dynamic Highlighting: The 'Highlight Current Chart TF' option (default ON) emphasizes the SMA corresponding to your current chart, making it stand out with a bright Aqua color and a thicker line when in MTF mode.
Full Customization: Easily adjust the SMA Length and the MTF SMA Line Color directly in the indicator settings.
How to Use It:
Trend Confirmation: When all MTF lines (especially the Daily and Weekly) are aligned and moving in the same direction, it provides high-confidence trend confirmation.
Dynamic S/R: The MTF SMAs often act as strong dynamic Support and Resistance levels, even when viewing a lower timeframe like the 5-minute chart.
Clean Analysis: Use the 'Current Chart TF Only' option when you need to declutter your chart and focus on the primary trend of your active trading session.
Elevate your trend analysis today with the MTF 200 SMA!
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EMA Panel — 7/12/21 vs 147 (Cross-Over Marks + ALL) (Misu)Full Technical Description
Overview:
The EMA Subpanel — Cross-Over Tracker (7/12/21 vs 147) is designed to visualize multi-layer EMA dynamics in a dedicated subwindow, separating it from price candles.
It focuses on identifying momentum shifts and medium-term trend transitions based on interactions between short-term and long-term exponential moving averages (EMAs).
Core Logic:
Plots four EMAs: 7, 12, 21, and 147 periods on a separate panel.
Marks every crossover event where EMA7, EMA12, or EMA21 moves above EMA147.
Once all three short-term EMAs (7, 12, 21) are above EMA147 (either sequentially or simultaneously), the script labels the bar with “ALL(7/12/21 > 147)”, indicating a potential strong bullish structure.
When any of the short-term EMAs crosses below EMA147, the system resets the tracking state and waits for a new crossover sequence.
Usage Notes:
This indicator does not overlay price candles (it runs in a separate panel).
Traders can use the “ALL” signal as confirmation of multi-timeframe bullish alignment.
The logic can be inverted or expanded to detect bearish phases (e.g., “ALL”) by mirroring the crossover conditions.
Works well as a trend confirmation filter alongside price action, BOS/CHoCH structure, or volume-based models.
Alerts:
Custom alert conditions are included for:
Each individual EMA crossover above EMA147.
The completion of the full 3-line alignment (ALL event).
10MA forcast by JM10 MAs + up to 4 forecast points
You can set up to 10 MAs. You can also change the MA type. You can ignore the MA name in the options and change it to your desired MA length.
Hikmet ŞENLİKOĞLU basit strateji📊 Hikmet ŞENLİKOĞLU Simple Strategy – MA Crossover + RSI Filter System
This strategy is built on a simple yet powerful Moving Average Crossover (MA Crossover) concept designed to identify trend reversals.
It also integrates the Relative Strength Index (RSI) as a momentum filter to reduce false signals and focus only on strong buying and selling opportunities.
⚙️ Core Structure
1. Moving Average Crossover (MA Crossover)
The system uses two Simple Moving Averages (SMA):
Fast MA: 9 periods (default)
Slow MA: 21 periods (default)
Buy Signal: When the Fast MA crosses above the Slow MA (bullish crossover).
Sell Signal: When the Fast MA crosses below the Slow MA (bearish crossunder).
This mechanism aims to capture early trend reversals and follow the dominant market direction.
2. RSI Filter
The RSI adds an additional layer of confirmation:
Overbought level: 70
Oversold level: 30
Buy signals are valid only when RSI is below the overbought zone (RSI < 70),
while Sell signals are valid only when RSI is above the oversold zone (RSI > 30).
This filter helps avoid trades during weak or exhausted momentum phases.
📈 Chart Visuals
Blue line: Fast MA (short-term trend)
Red line: Slow MA (long-term trend)
Green triangle: Buy signal
Red triangle: Sell signal
These visual cues make it easy to follow trade signals directly on the chart.
🚨 Built-in Alerts
The strategy includes automatic alert conditions for live trading or notifications:
Buy Alert: “Price is turning bullish – Buy opportunity!”
Sell Alert: “Price is turning bearish – Sell opportunity!”
This allows traders to stay updated even when they’re away from the charts.
🧠 Summary
“There is power in simplicity.”
This strategy blends trend-following logic with a momentum-based filter, creating a reliable and intuitive system.
It’s simple enough for beginners, yet solid enough for experienced traders seeking a clean foundation for further optimization.
Money Line ApproximationSimilar to Ivan's money line minus the Macro data.
How to Interpret and Use It
Bullish Setup : Green line + buy signal = Potential entry (e.g., buy on pullback to the line). Expect upward momentum if RSI stays below 75.
Bearish Setup : Red line + sell signal = Potential exit or short (e.g., sell near the line). Watch for RSI above 25 confirming downside.
Neutral Periods : Yellow line indicates indecision—best to wait for a flip rather than force trades.
Strengths : Simple, visual, and filtered against extremes; works well in trending markets by blending EMAs and using RSI to avoid overbought buys or oversold sells.
