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Wskaźniki i strategie

T5_EngineLibrary "T5_Engine" run(ema50, ema200, atrPct, emaGapPct, btcEma50, btcEma200, isBarClose, crossUp21_50, crossDown21_50, useBTCFilter, useSpreadFilter, minSpreadPctFixed, useAdaptiveSpread, spreadBaseMinPct, spreadAtrK, atrLowTh, atrHighTh)   Parameters:      ema50 (float)      ema200 (float)      atrPct (float)      emaGapPct (float)      btcEma50 (float)      btcEma200 (float)      isBarClose (bool)      crossUp21_50 (bool)      crossDown21_50 (bool)      useBTCFilter (bool)      useSpreadFilter (bool)      minSpreadPctFixed (float)      useAdaptiveSpread (bool)      spreadBaseMinPct (float)      spreadAtrK (float)      atrLowTh (float)      atrHighTh (float)
Biblioteka Pine Script®
od quentinosamudiamentmh7v
XAUUSD lucky trendThis version introduces a strict midline filter to keep signals trend-aligned without revealing any specific settings. Long signals are permitted only when price is clearly established on the bullish side of the midline for the entire candle, so brief dips through the line are ignored. Short signals are permitted only when price is clearly established on the bearish side of the midline for the entire candle, so brief spikes through the line are ignored. This helps avoid whipsaws around the midline and reduces counter-trend entries, especially during choppy transitions. All other components of the indicator remain unchanged: the original signal logic, quality filters, and frequency controls still determine when a setup is valid. The result is fewer but cleaner prompts that better reflect sustained directional bias rather than temporary noise around the midline.
Wskaźnik Pine Script®
od xuziyu409
UT Bot Alerts with R-Targets & Results< DONE BY RM ALOWAIS > Indicator Overview This indicator provides rule-based BUY and SELL signals with automatic risk management levels. Each trade setup includes a predefined Stop Loss and up to three Take Profit targets (TP1, TP2, TP3), allowing traders to manage risk and scale exits systematically. How It Works BUY and SELL signals are generated based on internal market conditions. Each signal plots: Entry point Stop Loss (SL) Take Profit levels (TP1, TP2, TP3) After price action completes, the indicator displays the actual result of the trade: Result: TP1 / TP2 / TP3 / SL Exit labels may appear when a trade is closed early due to invalidation or opposite conditions. Key Features Non-repainting signals Built-in risk-to-reward structure Visual trade tracking with clear outcomes Suitable for intraday and swing trading Works on multiple markets and timeframes Usage Notes This indicator is a decision-support tool, not financial advice. Best results are achieved when used with proper risk management and higher-timeframe confirmation. Performance may vary depending on market conditions (trend vs range). Disclaimer This script is provided for educational and informational purposes only. The author is not responsible for any financial losses. Always test and validate before using in live trading.
Wskaźnik Pine Script®
od alowaisgamer
Portfolio TrackerPortfolio Tracker – Manual Position Dashboard This indicator provides a clean, non-intrusive dashboard for tracking open equity positions directly on your chart. You can manually enter up to 20 positions (symbol, quantity, and buy price), and the dashboard will automatically compute: - Invested amount per position - Live market price - Current market value - Profit / Loss (absolute) - Profit / Loss (%) - Portfolio-level totals The dashboard updates on the latest bar only, ensuring stable values and minimal redraw overhead. Visuals : - Supports up to 20 simultaneous positions - Clear green / red P&L highlighting per position - Portfolio totals calculated in real time - Adjustable dashboard size (Small / Normal / Large) - User-selectable dashboard position (top/bottom, left/right) No trading logic, no signals, no repainting — tracking only
Wskaźnik Pine Script®
od vikram_bains
Delta Hedging Pressure📊 COT Delta Hedging Pressure – Institutional Sentiment Indicator This indicator visualizes institutional hedging pressure by aggregating delta-style positioning into a clean, session-aware sentiment framework. Instead of guessing direction, it shows who is likely hedging vs. pressing, helping traders align intraday execution with higher-timeframe positioning. 🔍 What This Indicator Does Calculates cumulative hedging pressure using price-based delta logic Classifies market state into: Bullish (positive hedge pressure) Bearish (negative hedge pressure) Neutral (balanced flow) Resets cleanly by session or user-defined period Visualizes sentiment using: Background shading Labels Cumulative plots 🧠 How Traders Use It Directional bias filter (trade only with sentiment) Context for FVGs, liquidity raids, and pullbacks Avoids chop by identifying neutral hedge conditions Pairs especially well with: XAUUSD Index CFDs Futures / CFD hybrids ⚙️ Key Features Session-aware cumulative logic Adjustable sensitivity and lookback Clean visual design (no clutter) Non-repainting calculations Works on 1m → HTF ⚠️ Important Notes This is a context tool, not a signal generator Best used alongside price structure and risk management Designed for discipline and alignment, not overtrading 🎯 Ideal For Scalpers & intraday traders Traders using: Fair Value Gaps (FVG) Liquidity sweeps Session-based models Traders transitioning from prop logic to personal capital 🧩 Final Thought This indicator answers one question: “Is the market hedging or pressing — and should I be aggressive or patient?” If you trade with structure, this keeps you on the right side.
Wskaźnik Pine Script®
od uzair2join
eBacktesting - Learning: Power of 3eBacktesting - Learning: Power of 3 highlights ICT’s “Power of 3” intraday story: - Accumulation: price builds a quiet range - Manipulation: a sweep grabs liquidity above or below that range (the classic stop hunt) - Distribution: the real move expands away from that range, often in the opposite direction of the sweep Use it to train your eyes to recognize when price is likely “setting up” vs when the session is actually “moving,” and to build a clean daily narrative around liquidity and expansion. These indicators are built to pair perfectly with the eBacktesting extension, where traders can practice these concepts step-by-step. Backtesting concepts visually like this is one of the fastest ways to learn, build confidence, and improve trading performance. Educational use only. Not financial advice.
Wskaźnik Pine Script®
od eBacktesting
Quality-Controlled Trend StrategyOverview This strategy demonstrates a clean, execution-aware trend framework with fully isolated risk management. Entry conditions and risk logic are intentionally separated so risk parameters can be adjusted without altering signal behavior. All calculations are evaluated on confirmed bars to ensure backtest behavior reflects real-time execution. Design intent Many scripts mix entries and exits in ways that make results fragile or misleading. This strategy focuses on structural clarity by enforcing: confirmed-bar logic only fixed and transparent risk handling consistent indicator calculations one position at a time It is intended as a baseline framework rather than an optimized system. Trading logic (high level) Trend context EMA 50 vs EMA 200 defines directional bias Entry Price alignment with EMA 50 RSI used as a momentum confirmation, not as an overbought/oversold signal Risk management Stop-loss based on ATR Fixed risk–reward structure Risk logic is isolated from entry logic Editing risk without affecting signals All stop-loss and take-profit calculations are handled in a dedicated block. Users can adjust: ATR length stop-loss multiplier risk–reward ratio without modifying entry conditions. This allows controlled experimentation while preserving signal integrity. Usage notes Results vary by market, timeframe, and volatility conditions. This script is provided for testing and educational purposes and should be validated across multiple symbols and forward-tested before use in live environments.
Strategia Pine Script®
od AIScripts
Market State Fear & Greed Bubble Index V1Market State Fear & Greed Bubble Index V1 📊 Comprehensive Market Sentiment Analyzer This advanced indicator measures market psychology through a multi-dimensional scoring system, combining demand/supply pressure, trend momentum, and statistical extremes to identify fear/greed cycles and trading opportunities. 🎯 Core Features Five-Factor Fear & Greed Score Weighted sentiment analysis: Demand/Supply (25%): Real-time buying/selling pressure RSI (25%): Momentum extremes KDJ (20%): Overbought/oversold detection Bollinger Band % (20%): Statistical positioning ADX Trend (10%): Trend strength confirmation Multi-Layer Market State Detection Extreme Fear/Greed: Statistical bubble identification Trend Bias: Bullish/Bearish/Neutral classification Confidence Scoring: Setup reliability assessment Reversal Alerts: Early trend change signals Visual Dashboard Top-right information panel displays: Fear & Greed Score (0-100) Market State Classification Trend Bias & Confidence Signal Quality & Alerts 📈 Key Components Fear & Greed Gauge 0-30: Extreme Fear (buying opportunities) 30-47: Fear (accumulation zones) 47-70: Neutral (consolidation) 70-90: Greed (caution zones) 90-100: Extreme Greed (selling opportunities) Deviation Zones Red Zone (±17.065): Critical reversal areas Yellow Zone (±34.135): Warning levels Blue Zone (±47.72): Statistical extremes where reversals are highly likely. These occur when asset prices are in a bubble that's about to pop. Signal Types Buy/Sell Labels: Primary entry/exit signals Scalp Signals: Short-term opportunities Bottom/Top Detectors: Extreme reversal zones Whale Indicators: Institutional activity markers 🚀 Trading Applications Extreme Fear Setups Conditions: Fear & Greed Score < 34.135 BB% < 0 or < J-inverted line RSI < 34.135 Confidence score > 68% Bullish divergence present Action: Accumulation positions, scaled entries Extreme Greed Setup Conditions: Fear & Greed Score > 68.2 BB% > 100 or > 80 with divergence RSI > 68.2 ADX showing trend exhaustion Multiple timeframe resistance Action: Profit-taking, protective stops Trend Following Bullish Conditions: Sentiment score rising from fear zones DMI+ above DMI- and rising Confidence > 75% Volume supporting moves Bearish Conditions: Sentiment declining from greed zones DMI- above DMI+ and rising Distribution patterns Multiple resistance failures ⚙️ Customization Options Adjustable Parameters: DMI Settings: DI lengths, ADX smoothing KDJ Periods: Customizable sensitivity BB% Range: Statistical band adjustments Smoothing Options: Demand/Supply filtering Alert Thresholds: Custom signal levels Visual Customization: Color schemes for different market states Line thickness and style preferences Information panel display options Alert sound/visual preferences 📊 Signal Interpretation Primary Signals: Green 'B': Strong buy opportunity Red 'S': Strong sell opportunity White 'Scalp': Short-term trade Trade Area: Accumulation/distribution zones Visual Markers: 🔥: Bullish momentum building 🐻: Bear exhaustion building 🐳: Whale/institutional activity Color-coded fills: Market state visualization Confidence Levels: ≥80%: High reliability setups 60-79%: Moderate confidence <60%: Low confidence, avoid or reduce size ⚠️ Risk Management Guidelines Critical Rules: Never trade against extreme sentiment (Extreme Fear → buy, Extreme Greed → sell) Require multiple confirmation signals Use confidence scores for position sizing Avoid When: Conflicting signals between components Low volume participation Confidence score < 50% Major news events pending Extreme volatility conditions 💡 Advanced Strategies Sentiment Cycle Trading Identify sentiment extremes Wait for confirmation reversals Enter with trend confirmation Exit at opposite sentiment extreme Use confidence scores and fear & greed scores to scale: Fear & greed scores < 30 = buy area Fear & greed score > 60 = sell area Trend Momentum Exit: At extreme greed with divergence Enter: At extreme fear with divergence 📊 Market State Classification Five Primary States: EXTREME FEAR (BB% <0, RSI <34, Score <34) FEAR (Score 34-47, bearish momentum) NEUTRAL (Score 47-70, consolidation) GREED (Score 70-90, bullish momentum) EXTREME GREED (Score >90, BB% >100) State Transitions: Fear → Neutral: Early accumulation Neutral → Greed: Trend development Greed → Extreme Greed: Distribution Extreme → Reversal: Trend change 🔍 Information Panel Guide Real-Time Metrics: FEAR & GREED: Current sentiment score Market State: Classification and bias Trend Bias: Bullish/Bearish/Neutral Confidence: Setup reliability percentage Momentum: Current directional strength Volatility: Market condition assessment Signal Quality: Trade recommendation Reversal Imminent: Early warning alerts 🌟 Unique Advantages Psychological Edge: Quantifies market emotion through multiple indicators Identifies bubbles before they pop Provides statistical confidence for each setup Combines technical extremes with sentiment analysis Offers clear visual cues for decision making Professional Features: Multi-timeframe sentiment analysis Real-time confidence scoring Comprehensive alert system Institutional activity detection Clear risk/reward visualization 📚 Educational Value This indicator teaches: Market psychology cycles Statistical extreme identification Multi-indicator confirmation Risk quantification methods Professional trade management Perfect for traders seeking to understand and profit from market sentiment cycles. Disclaimer: For educational purposes. Trading involves risk. Past performance doesn't guarantee future results.
Wskaźnik Pine Script®
od capableDealer16380
Smart Money Flow Cloud [BOSWaves]Smart Money Flow Cloud - Volume-Weighted Trend Detection with Adaptive Volatility Bands Overview Smart Money Flow Cloud is a volume flow-aware trend detection system that identifies directional market regimes through money flow analysis, constructing adaptive volatility bands that expand and contract based on institutional pressure intensity. Instead of relying on traditional moving average crossovers or fixed-width channels, trend direction, band width, and signal generation are determined through volume-weighted money flow calculation, nonlinear flow strength modulation, and volatility-adaptive band construction. This creates dynamic trend boundaries that reflect actual institutional buying and selling pressure rather than price momentum alone - tightening during periods of weak flow conviction, expanding during strong directional moves, and incorporating flow strength statistics to reveal whether regimes formed under accumulation or distribution conditions. Price is therefore evaluated relative to adaptive bands anchored at a flow-informed baseline rather than conventional trend-following indicators. Conceptual Framework Smart Money Flow Cloud is founded on the principle that sustainable trends emerge where volume-weighted money flow confirms directional price movement rather than where price alone creates patterns. Traditional trend indicators identify regime changes through price crossovers or slope analysis, which often ignore the underlying volume dynamics that validate or contradict those movements.This framework replaces price-centric logic with flow-driven regime detection informed by actual buying and selling volume. Three core principles guide the design: Trend direction should correspond to volume-weighted flow dominance, not price movement alone. Band width must adapt dynamically to current flow strength and volatility conditions. Flow intensity context reveals whether regimes formed under conviction or uncertainty. This shifts trend analysis from static moving averages into adaptive, flow-anchored regime boundaries. Theoretical Foundation The indicator combines adaptive baseline smoothing, close location value (CLV) methodology, volume-weighted flow tracking, and nonlinear strength amplification. A smoothed trend baseline (EMA or ALMA) establishes the core directional reference, while close location value measures where price settled within each bar's range. Volume weighting applies directional magnitude to flow calculation, which accumulates into a normalized money flow ratio. Flow strength undergoes nonlinear power transformation to amplify strong conviction periods and dampen weak flow environments. Average True Range (ATR) provides volatility-responsive band sizing, with final width determined by the interaction between base volatility and flow-modulated multipliers. Four internal systems operate in tandem: Adaptive Baseline Engine : Computes smoothed trend reference using either EMA or ALMA methodology with configurable secondary smoothing. Money Flow Calculation System : Measures volume-weighted directional pressure through CLV analysis and ratio normalization. Nonlinear Flow Strength Modulation : Applies power transformation to flow intensity, creating dynamic sensitivity scaling. Volatility-Adaptive Band Construction : Scales band width using ATR measurement combined with flow-strength multipliers that range from minimum (calm) to maximum (strong flow) expansion. This design allows bands to reflect actual institutional behavior rather than reacting mechanically to price volatility alone. How It Works Smart Money Flow Cloud evaluates price through a sequence of flow-aware processes: Close Location Value (CLV) Calculation : Each bar's closing position within its high-low range is measured, creating a directional bias indicator ranging from -1 (closed at low) to +1 (closed at high). Volume-Weighted Flow Tracking : CLV is multiplied by bar volume, then accumulated and normalized over a configurable flow window to produce a money flow ratio between -1 and +1. Flow Smoothing and Strength Extraction : The raw money flow ratio undergoes optional smoothing, then nonlinear power transformation to amplify strong flow periods and compress weak flow environments. Adaptive Baseline Construction : Price (both open and close) is smoothed using either EMA or ALMA methodology with optional secondary smoothing to create a stable trend reference. Dynamic Band Sizing : ATR measurement is multiplied by a flow-strength-modulated factor that interpolates between minimum (tight) and maximum (wide) multipliers based on current flow conviction. Regime Detection and Visualization : Price crossing above the upper band triggers bullish regime, crossing below the lower band triggers bearish regime. The baseline cloud visualizes open-close relationship within the current trend. Retest Signal Generation : Price touching the baseline from within an established regime generates retest signals with configurable cooldown periods to prevent noise. Together, these elements form a continuously updating trend framework anchored in volume flow reality. Interpretation Smart Money Flow Cloud should be interpreted as flow-confirmed trend boundaries: Bullish Regime (Blue) : Activated when price crosses above the upper adaptive band, indicating volume-confirmed buying pressure exceeding volatility-adjusted resistance. Bearish Regime (Red) : Established when price crosses below the lower adaptive band, identifying volume-confirmed selling pressure breaking volatility-adjusted support. Baseline Cloud : The gap between smoothed open and smoothed close within the baseline visualizes intrabar directional bias - wider clouds indicate stronger intrabar momentum. Adaptive Band Width : Reflects combined volatility and flow strength - wider bands during high-conviction institutional activity, tighter bands during consolidation or weak flow periods. Buy/Sell Labels : Appear at regime switches when price crosses from one band to the other, marking potential trend inception points. Retest Signals (✦) : Diamond markers indicate price touching the baseline within an established regime, often occurring during healthy pullbacks in trending markets. Trend Strength Gauge : Visual meter displays current regime strength as a percentage, calculated from price position within the active band relative to baseline. Background Gradient : Optional coloring intensity reflects flow strength magnitude, darkening during high-conviction periods. Flow strength, band width adaptation, and baseline relationship outweigh isolated price fluctuations. Signal Logic & Visual Cues Smart Money Flow Cloud presents three primary interaction signals: Regime Switch - Buy : Blue "Buy" label appears when price crosses above the upper band after previously being in a bearish regime, suggesting volume-confirmed bullish transition. Regime Switch - Sell : Red "Sell" label displays when price crosses below the lower band after previously being in a bullish regime, indicating volume-confirmed bearish transition. Trend Retest : Diamond (✦) markers appear when price touches the baseline within an established regime, with configurable cooldown periods to filter noise. Alert generation covers regime switches and retest events for systematic monitoring. Strategy Integration Smart Money Flow Cloud fits within volume-informed and institutional flow trading approaches: Flow-Confirmed Entry : Use regime switches as primary trend inception signals where volume validates directional breakouts. Retest-Based Refinement : Enter on baseline retest signals within established regimes for improved risk-reward positioning during pullbacks. Band Width Context : Expect wider price swings when bands expand (high flow strength), tighter ranges when bands contract (weak flow). Baseline Cloud Confirmation : Favor trades where baseline cloud width confirms intrabar momentum alignment with regime direction. Strength Gauge Filtering : Use trend strength percentage to gauge continuation probability - higher readings suggest stronger institutional conviction. Multi-Timeframe Regime Alignment : Apply higher-timeframe regime context to filter lower-timeframe entries, taking only setups aligned with dominant flow direction. Technical Implementation Details Core Engine : Configurable EMA or ALMA baseline with secondary smoothing Flow Model : Close Location Value (CLV) with volume weighting and ratio normalization Strength Transformation : Configurable power function for nonlinear flow amplification Band Construction : ATR-scaled width with flow-strength-interpolated multipliers Visualization : Dual-line baseline cloud with gradient fills, regime-colored bands, and embedded strength gauge Signal Logic : Band crossover detection with baseline retest identification and cooldown management Performance Profile : Optimized for real-time execution with minimal computational overhead Optimal Application Parameters Timeframe Guidance: 1 - 5 min : Micro-structure regime detection for scalping and intraday reversals 15 - 60 min : Intraday trend identification with flow-validated swings 4H - Daily : Swing and position-level regime analysis with institutional flow context Suggested Baseline Configuration: Trend Length : 34 Trend Engine : EMA Trend Smoothing : 3 Flow Window : 24 Flow Smoothing : 5 Flow Boost : 1.2 ATR Length : 14 Band Tightness (Calm) : 0.9 Band Expansion (Strong Flow) : 2.2 Reset Cooldown : 12 These suggested parameters should be used as a baseline; their effectiveness depends on the asset's volume profile, volatility characteristics, and preferred signal frequency, so fine-tuning is expected for optimal performance. Parameter Calibration Notes Use the following adjustments to refine behavior without altering the core logic: Bands too wide/frequent whipsaws : Reduce "Band Expansion (Strong Flow)" to limit maximum band width, or increase "Band Tightness (Calm)" to widen minimum bands and reduce noise sensitivity. Trend baseline too choppy : Increase "Trend Length" for smoother baseline, or increase "Trend Smoothing" for additional filtering. Flow readings unstable : Increase "Flow Smoothing" to reduce bar-to-bar noise in money flow calculation. Missing legitimate regime changes : Decrease "Trend Length" for faster baseline response, or reduce "Band Tightness (Calm)" for earlier breakout detection. Too many retest signals : Increase "Reset Cooldown" to space out retest markers, or disable retest signals entirely if not using pullback entries. Flow strength not responding : Increase "Flow Boost" (power factor) to amplify strong flow differentiation, or decrease "Flow Window" to emphasize recent volume activity. Prefer different smoothing characteristics : Switch "Trend Engine" to ALMA and adjust "ALMA Offset" (higher = more recent weighting) and "ALMA Sigma" (higher = smoother) for alternative baseline behavior. Adjustments should be incremental and evaluated across multiple session types rather than isolated market conditions. Performance Characteristics High Effectiveness: Markets with consistent volume participation and institutional flow Instruments where volume accurately reflects true liquidity and conviction Trending environments where flow confirms directional price movement Mean-reversion strategies using retest signals within established regimes Reduced Effectiveness: Extremely low volume environments where flow calculations become unreliable News-driven or gapped markets with discontinuous volume patterns Highly manipulated or thinly traded instruments with erratic volume distribution Ranging markets where price oscillates within bands without conviction Integration Guidelines Confluence : Combine with BOSWaves structure, order flow analysis, or traditional volume profile Flow Validation : Trust regime switches accompanied by strong flow readings and wide band expansion Context Awareness : Consider whether current market regime matches historical flow patterns Retest Discipline : Use baseline retest signals as confirmation within trends, not standalone entries Breach Management : Exit regime-aligned positions when price crosses opposing band with volume confirmation Disclaimer Smart Money Flow Cloud is a professional-grade volume flow and trend analysis tool. Results depend on market conditions, volume reliability, parameter selection, and disciplined execution. BOSWaves recommends deploying this indicator within a broader analytical framework that incorporates price structure, market context, and comprehensive risk management.
Wskaźnik Pine Script®
od BOSWaves
eBacktesting - Learning: Liquidity GrabseBacktesting - Learning: Liquidity Grabs highlights moments when price pushes just beyond a recent swing high or swing low (where many stops tend to sit) and then quickly returns back inside the level. This behavior is often called a stop run, sweep, or liquidity grab. Traders study these events because they can reveal: - Where liquidity is “resting” (obvious highs/lows) - A quick sweep and rejection (often a wick) - When a breakout attempt is actually a trap - A full candle close through the level, followed by an immediate reversal back inside (classic breakout trap) - Potential areas where price may reverse or accelerate after stops are taken Use it as a training tool to build pattern recognition and improve your patience around key levels, especially during active sessions where sweeps happen frequently. These indicators are built to pair perfectly with the eBacktesting extension, where traders can practice these concepts step-by-step. Backtesting concepts visually like this is one of the fastest ways to learn, build confidence, and improve trading performance. Educational use only. Not financial advice.
Wskaźnik Pine Script®
od eBacktesting
Fibonacci Sequence Grid [BigBeluga]🔵 OVERVIEW A geometric price mapping tool that projects Fibonacci sequence levels and grid structures from recent price swings to help traders visualize natural expansion and reversion zones. This indicator overlays Fibonacci-based structures directly on the chart, utilizing both grid projections and horizontal levels based on the classic Fibonacci integer sequence (0, 1, 1, 2, 3, 5, 8, ...). It identifies recent swing highs or lows and builds precision-aligned levels based on the trend direction. 🔵 CONCEPTS Uses the Fibonacci integer sequence (not ratios) to define distances from the most recent swing point. Identifies a trend based on EMA cross of fast and slow periods. Projects two types of Fibonacci tools: A grid projection from the swing point, displaying multiple sloped levels based on the sequence. A set of horizontal Fibonacci levels for clean structural references. Levels can be plotted from either swing low or high depending on the current trend direction. Adjustable “Size” inputs control spacing between levels for better price alignment. Lookback period defines how far the script searches for recent swing extremes. 🔵 FEATURES Fibonacci Grid Projection: Draws two mirrored Fibonacci grids—one expanding away from the swing high/low, the other converging toward price. Swing-Based Trend Detection: Uses a fast/slow EMA crossover to determine trend direction and reference swing points for projections. Fibonacci Sequence Levels: Displays horizontal levels based on the Fibonacci number sequence (0, 1, 2, 3, 5, 8, 13, 21...) for natural price targets. Dynamic Labels and Coloring: Each level is labeled with its sequence value and colored based on trend direction (e.g., red = downtrend, green = uptrend). Both grids and levels can be toggled on/off independently. Sizing controls allow tighter or looser clustering of levels depending on chart scale. 🔵 HOW TO USE Enable Fibonacci Grid to visualize price expansion zones during impulsive trends. Use Fibonacci Levels as horizontal support/resistance or target zones. A label below price means the current trend is up and levels are projected from swing low. A label above price means trend is down and levels are projected from swing high. Adjust “Size” input to fit grid/level projection to your preferred chart scale or instrument volatility. Use in confluence with price action, trend indicators, or volume tools for layered trading decisions. 🔵 CONCLUSION Fibonacci Sequence Grid reimagines Fibonacci analysis using whole-number spacing from natural math progressions. Whether used for projecting grid-based expansions or horizontal support/resistance zones, it provides a powerful and intuitive structure to trade within. Perfect for traders who rely on symmetry, market geometry, and mathematically consistent levels.
Wskaźnik Pine Script®
od BigBeluga
3
Session Dominance Profile [Pointalgo]Session Dominance Profile is a visual volume-distribution tool that shows which global trading session (Asia, London, or New York) dominates price activity across different price levels within a defined historical range. The indicator builds a horizontal volume profile using candle close prices and volume, then classifies each price level by the session that contributed the highest volume. How It Works : The script analyzes a configurable lookback period Price range is divided into multiple horizontal bins Volume is accumulated per price level Each bin is split into three session buckets: Asia Session (Yellow) London Session (Blue) New York Session (Red) The session with the highest volume at that price level determines the color This results in a Session-based Dominance Profile, helping traders visually identify: Where major sessions were most active Session-specific acceptance or rejection zones Potential intraday and swing reaction areas Practical Use Cases : Identify price levels dominated by a specific session Understand session rotation and participation Combine with: Market structure Support & resistance VWAP or moving averages Useful for intraday, scalping, and swing trading Inputs Explained: Lookback – Number of historical bars used to build the profile Resolution – Number of price bins (higher = more detail) Fixed Width (Bars) – Maximum horizontal width of the profile Offset (Bars) – Distance of the profile from the current bar Profile Direction – Left-to-Right or Right-to-Left rendering Session Time Reference: All sessions are calculated using UTC time. Important Notes: This indicator is visual and analytical only It does not generate buy or sell signals No repainting: the profile is calculated on the last bar only Designed for educational and research purposes Disclaimer: This script does not provide financial advice. Trading involves risk, and past volume behavior does not guarantee future results. Always confirm signals using additional analysis and proper risk management.
Wskaźnik Pine Script®
od pointalgo
eBacktesting - Learning: Buy/Sell-side LiquidityeBacktesting - Learning: Buy/Sell-side Liquidity Buy-side and sell-side liquidity are some of the most important “magnets” in day trading. When price forms obvious swing highs and swing lows, stop-loss orders often build up just above those highs (buy-side liquidity) and just below those lows (sell-side liquidity). Markets frequently move into these areas to “take” that liquidity before making the next meaningful move. This indicator helps you spot those potential liquidity pools and highlights when price reaches them. Use it to study: - where stops are likely resting above highs / below lows - how often price sweeps those areas before reversing - how liquidity runs can trigger the next expansion or trend continuation These indicators are built to pair perfectly with the eBacktesting extension, where traders can practice these concepts step-by-step. Backtesting concepts visually like this is one of the fastest ways to learn, build confidence, and improve trading performance. Educational use only. Not financial advice.
Wskaźnik Pine Script®
od eBacktesting
Price Line with SMA & StdDev ChannelIndicator Synopsis This indicator is a stand-alone price-based oscillator that mirrors market price action in a separate pane, allowing traders to analyze structure, momentum, and volatility without the visual noise of the main chart. The indicator plots a raw price line as its core component, creating a one-to-one representation of price movement detached from candlesticks. A 14-period Simple Moving Average (SMA) smooths this price line to help identify short-term momentum shifts and directional bias. A volatility channel is constructed around a 20-period SMA, which serves as the channel’s equilibrium (mean). The upper and lower channel boundaries are positioned one standard deviation above and below the 20-period SMA, dynamically adapting to changes in market volatility. This structure allows traders to: Identify mean reversion opportunities when price stretches beyond the channel Observe trend strength and continuation when price holds above or below the channel midline Detect volatility expansion and contraction through channel width Use the SMA 14 as a momentum filter against the broader 20-period mean By isolating price behavior into a separate pane, the indicator provides a clear, uncluttered framework for reading price dynamics, making it suitable for discretionary analysis, momentum confirmation, and volatility-based trade planning.
Wskaźnik Pine Script®
od Simon20cent
Kadunagra-Pivot Point SuperTrend-trades analysis 📊 Pivot Point SuperTrend Strategy (MA-Filtered, 100% Equity) This strategy is a trend-following system that combines Pivot Point–based SuperTrend logic with a higher-timeframe Moving Average filter and percentage-based risk control. --- 🔹 Core Logic 1️⃣ Trend Detection (Pivot Point SuperTrend) Uses pivot highs and lows to calculate a dynamic center line Builds ATR-based upper and lower bands Determines market trend: Bullish trend when price breaks above the trailing band Bearish trend when price breaks below the trailing band Trend changes generate: Buy signal → trend flips from bearish to bullish Sell signal → trend flips from bullish to bearish --- 2️⃣ Moving Average Trend Filter (User-Selectable) A single Moving Average is used as a higher-timeframe confirmation User can select the MA type from a dropdown: SMA, EMA, WMA, VWMA, RMA, or HMA Trade rules: Long trades only when price is above the selected MA Short trades only when price is below the selected MA This helps avoid counter-trend trades and improves signal quality. --- 3️⃣ Trade Execution & Position Sizing Strategy uses 100% of account equity per trade No pyramiding Long and short trades are handled symmetrically --- 4️⃣ Risk Management (Percentage Stop-Loss) Uses a fixed percentage stop-loss Stop-loss is calculated from the actual entry price: Long SL → Entry Price − SL% Short SL → Entry Price + SL% Ensures consistent risk control across all trades --- ⏱ Recommended Timeframe & Market ✅ Default / Optimized Use Case Timeframe: 4-Hour (4H) Market: BTC (Bitcoin) MA Length (default): 200 EMA ATR Factor & Period: Tuned for swing-style trend moves These default parameters are best suited for 4H BTC based on trend behavior and volatility. --- ⚙️ Customization & Flexibility All parameters are fully adjustable and can be optimized for: Different timeframes (1H, Daily, etc.) Other cryptocurrencies or markets More aggressive or conservative risk profiles You can modify: Pivot period ATR factor & period MA type and length Stop-loss percentage --- 🧠 Strategy Style Summary ✔ Trend-following ✔ MA-filtered confirmation ✔ No repaint logic ✔ Works best in trending markets ✔ Suitable for swing trading
Strategia Pine Script®
od kadunagra