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Indikatoren und Strategien

Hybrid FVG: Active & Historical (Yairo).Hybrid FVG: Active & Historical (Quarterly Theory Ready) Description: This indicator is designed for traders who follow Price Action and The Quarterly Theory. It identifies Fair Value Gaps (FVG) with high precision while maintaining a clutter-free chart. Key Features: Dynamic Midline (Mean Threshold): Each FVG includes a prominent midline. In institutional trading, the 50% level of a gap is a critical sensitivity point for price reversals or continuations. Hybrid Visualization: All boxes are fixed between the origin candles (3-bar width). This allows you to track historical institutional footprints without long boxes obstructing your view. Quarterly Theory Compatibility: Perfectly suited for identifying imbalances during specific time cycles or "Quarterly" shifts. Use the clean, short boxes to mark liquidity gaps that occur within key timing windows. Smart Status Updates: * Blue/Red: Active Bullish/Bearish gaps. Cyan (Light Blue): Mitigated/Filled gaps. The script automatically changes the color and removes the label once the price touches the gap, providing an instant visual cue of addressed liquidity. Timeframe Labels: Automatically identifies and labels the timeframe of the gap (e.g., FVG 1H, FVG 4H). How to Use: Focus on the Midline as a key reaction level. Use the color-coding to quickly distinguish between fresh liquidity and mitigated zones, especially when aligning with your Quarterly Theory cycles. FVG, QuarterlyTheory, SMC, PriceAction, Liquidity, SmartMoney, ICT, Gap, OrderFlow, InstitutionalTrading
Pine Script® Indikator
von ysfunet
ETH 5MIn Forex trading on the 1M chart, the key is to “snip” – enter quickly, take a small profit (1%) and exit. Here is an updated description that combines your financial management with field tactics: “The 1% Sniper” Strategy: Fast Forex Trading (1M Chart) This is a strategy for disciplined traders looking for short, sharp moves in the market. The goal is to achieve a daily/weekly target of a single 1%, which will accumulate to the $1,000 pullback target. 1. Technical Setup Timeframe: 1 Minute Chart ( 1M ). Recommended Assets: Major Forex Pairs with Low Spreads (like EUR/USD or GBP/USD ). Supporting Indicators: EMA 20/50 for short-term trend identification, and Supply\ &\ Demand zones. 2. Execution Entry: Identify strong momentum on the 1-minute chart. Enter only when there is a built-in confirmation (e.g. a "hammer" candle on a support level or a breakout of a market structure). Risk Management: Risk Per Trade is fixed. Since the target is 1% per portfolio, we are looking for a risk-reward ratio ( R:R ) of at least 1:2 . The Goal: Once the portfolio has made a 1% profit that day – close the screen. This discipline is what will get you to $1,000 faster without "returning" money to the market. 3. Map The Financial Roadmap In this strategy, we are not looking for a single "hit", but consistency: Base capital: $2,250. Daily target: 1% ( ≈22.5 ). The road to withdrawal: After about 45 successful trading days (or less, if you increase the lot carefully), you reach the $1,000 withdrawal target. Why does it work for you? Short screen time: A 1-minute chart allows you to find opportunities quickly, take your percentage and go about your business. Clear goal: Instead of dreaming of millions, you are focused on the next 1%. This makes the path to the next portfolio much more tangible. Protection of the capital: Working on a few percentages protects your $2,250 from too sharp fluctuations. Important to remember: On a 1-minute chart, the "noise" in the market is high. Make sure you work with a broker who has low commissions to That they won't eat up your 1% profit.
Pine Script® Strategie
von elirancr24
Fabio Valentini Pro Scalper [PickMyTrade]Fabio Valentini Pro Scalper Inspired by Fabio Valentini's NASDAQ scalping methodology, this strategy approximates professional order flow analysis using volume-based techniques, volume profile, and institutional trading concepts for liquid markets. CORE METHODOLOGY This strategy uses volume analysis to approximate order flow concepts typically seen in professional trading platforms: Volume Profile Analysis: Calculates Point of Control (POC), Value Area High (VAH), and Value Area Low (VAL) to identify institutional price acceptance zones where the majority of trading activity occurs. Delta Approximation: Estimates buying versus selling pressure by analyzing volume distribution within candles, helping identify which side of the market is in control. Absorption Detection: Identifies high-volume, low-price-movement candles that indicate institutional passive order absorption - when large players are building positions by absorbing aggressive orders. Triple-A Setup: Tracks the three-phase institutional trading pattern: - Absorption - Large players build positions passively - Accumulation - Price contracts into tight range as positions build - Aggression - Breakout with volume as institutional move initiates ENTRY SIGNAL TYPES Triple-A Setups: Identifies the complete absorption-accumulation-aggression sequence. When absorption is detected, followed by range contraction, and then aggressive breakout with volume confirmation. Opening Range Breakout (ORB): Trades breakouts from the configurable opening range period (default 30 minutes). Based on the concept that early session range defines key levels. Value Area Bounces: Identifies reactions at Value Area High or Value Area Low levels with absorption confirmation, suggesting institutional support or resistance. KEY FEATURES - VWAP with Dynamic Bands: Volume-weighted average price with ATR-based bands for trend and mean reversion context - Session-Based Filtering: Fully customizable trading session (default NY hours 9:30 AM - 4:00 PM) - Built-in Risk Management: Customizable risk percentage per trade with adjustable Risk:Reward ratios - Daily Loss Limit: Enforces maximum daily losses rule (default 3 losses) to prevent overtrading - Trailing Stop System: Optional ATR-based trailing stops to lock in profits - Real-Time Dashboard: Shows delta control, absorption status, market phase, and session information - Multiple Signal Filters: Combine or isolate different setup types for optimization CUSTOMIZABLE PARAMETERS Session Settings: Trading session times (any timezone), session filter enable/disable Volume Profile: Lookback period (default: 50 bars), row resolution for price levels (default: 24 rows) Absorption Detection: Volume multiplier threshold (default: 2.0), maximum price movement threshold (default: 0.3 ATR) Delta Analysis: Smoothing period (default: 5 bars) VWAP Settings: Enable/disable VWAP filter, band width multiplier (default: 0.5 ATR) Risk Management: Risk per trade percentage (default: 1%), Risk:Reward ratio (default: 2.0), maximum daily losses before stopping (default: 3), trailing stop toggle and ATR multiplier (default: 1.5) Opening Range Breakout: ORB period in minutes (default: 30), enable/disable ORB signals VISUAL ELEMENTS The strategy provides comprehensive visual feedback including VWAP bands, volume profile levels (POC, VAH, VAL), ORB lines, absorption signals, Triple-A setup markers, entry arrows with labels, session background highlighting, live statistics table, and daily loss limit warning background. BUILT-IN ALERT CONDITIONS Long and Short entry signals, strong absorption detection, Triple-A setup completion, and daily loss limit warnings. STRATEGY PHILOSOPHY Based on institutional trading principles: identify where large players are positioning through absorption patterns, wait for the accumulation phase shown by range contraction, then trade the aggressive move during expansion. The strategy combines multiple confirmation factors to filter high-probability setups. IMPORTANT NOTES AND DISCLAIMERS Not True Order Flow: This script approximates order flow concepts using publicly available volume data. True order flow analysis requires tick-by-tick bid/ask data from specialized platforms (e.g., Sierra Chart, Investor/RT with exchange feeds). This implementation provides educational approximation using TradingView's available data. Performance Sensitivity: Scalping strategy results are extremely sensitive to commission rates, slippage assumptions, position sizing decisions, parameter optimization for specific instruments, and market conditions. Cost Configuration Required: Before backtesting or live use, you MUST configure the Properties tab with realistic trading costs: Commission: Set to match your broker's actual fee structure (crypto spot: typically 0.05-0.20% per side, crypto futures: typically 0.02-0.05% per side, stock/futures: varies by broker and contract) Slippage: Set based on instrument liquidity (high liquidity: 2-5 ticks, medium liquidity: 5-10 ticks, lower liquidity or volatile conditions: 10+ ticks) Even small changes in commission or slippage can significantly impact profitability for scalping strategies. Parameter Optimization: Default settings are educational starting points. Users should test different absorption multiplier values (1.5-3.5), experiment with Risk:Reward ratios (2.0-4.0), try each signal type individually to find best performers, adjust parameters for their specific instrument and timeframe, and always validate changes with forward testing. Market Dependence: Strategy performance varies significantly across different instruments (futures vs crypto vs stocks), various timeframes (1-min vs 5-min vs 15-min), market conditions (trending vs ranging vs volatile), and trading sessions (high vs low liquidity periods). Educational Purpose: This strategy demonstrates order flow concepts, volume profile analysis, and institutional trading patterns for learning purposes. It is not a guaranteed profitable system and requires user optimization. RISK WARNING Scalping strategies require strict discipline and emotional control, excellent execution infrastructure (low latency, reliable fills), understanding of costs impact on profitability, respect for daily loss limits to prevent revenge trading, and realistic expectations - backtest results typically exceed live performance. This strategy enforces a daily loss limit (default 3 losses) based on professional trading risk management principles. When the limit is reached, the strategy stops generating signals to prevent overtrading. DISCLAIMER This is an educational tool for learning order flow concepts and institutional trading patterns. It is not financial advice. Past performance does not guarantee future results. Strategy profitability is highly dependent on execution quality, trading costs, parameter optimization, and market conditions. Users are solely responsible for their own testing, risk management, and trading decisions. No trading strategy is guaranteed to be profitable. Always test thoroughly on paper accounts before risking real capital.
Pine Script® Strategie
von PickMyTrade_Official
PoW Floor OscillatorThis model was proposed by @paulewaulpaul as an attempt to model the cost of BTC production using Difficulty (input) and Issuance (output) as the key parameters. The following is paraphrased from the original research piece: Difficulty D is taken as the estimated number of hashes required to mine a block (denoted in raw hashes). This is proportional to the energy consumption and the energy efficiency and reflects the demand. We use difficulty to estimate production costs. As mining becomes more efficient over time, hash rate becomes cheaper. Therefore we add a damping coefficient k and a scaling factor a (the cost per unit of adjusted difficulty). To get the value per coin, we divide by the issuance I. We get the values for a and k by fitting the function to price. For this we use the lows of the last two halving cycles, deep in the bear market when only the most efficient mining was profitable. The PoW Floor Model is thus calculated as follows: PoW Floor Pricing Model = 2/3 * (sma(D,180)^0.41 / sum(I,180)) The damping coefficient is k = 0.41 and scaling factor a = 2/3. Statistically, this means that doubling the difficulty increases the estimated production cost by ~33%. We use a moving average for the difficulty and look at a 180 day period. For the upper bands we use the 1.41 and 2 multiples where the factor of 2 estimates the cost of production after the next halving event (assuming constant difficulty). Coined By kuntah in Bitcoin: Difficulty per Issuance - A PoW Pricing Model, Oct 2022
Pine Script® Indikator
von M48384
Levy Momentum Strategy v10.6 - RSL Factor Exitthis strategy is supposed to run on daily charts! The RSL Strategy v10.6 is a momentum-following system that utilizes the Relative Strength Levy (RSL) indicator on a weekly timeframe to identify high-velocity trend breakouts. By comparing the current price to its 25-week Moving Average, the strategy isolates assets exhibiting strong relative momentum. Key FeaturesDynamic Entry Logic: Uses a volatility-adjusted threshold ( NYSE:SMA + Standard\ Deviation$) to ensure entries occur during periods of statistically significant strength.VIX Risk Filter: A built-in "Fear Limit" that prevents new entries when market volatility (VIX) exceeds a user-defined level (default: 22), protecting the capital during market-wide turbulence.Adjustable Exit Factor: A unique Exit Threshold Factor allows traders to fine-tune the exit sensitivity. Setting the factor below 1.0 gives the trade more "room to breathe," while a factor above 1.0 tightens the exit for faster profit-taking.Velocity Filter: Ensures momentum is accelerating by requiring a minimum rise in RSL over a 4-week lookback period before entering.Visual Monitoring: Includes an on-chart Weekly Review Table that tracks real-time RSL values against dynamic entry and exit levels.How it WorksEntry: Triggered when the Weekly RSL crosses above the dynamic threshold, provided the VIX is low and momentum velocity is positive.Exit: Triggered when the RSL drops below the adjusted "Exit Level," calculated as the dynamic threshold multiplied by your custom Factor.
Pine Script® Strategie
von Heiner_Flyer
Price Efficiency Ratio (PER) [SharpStrat]Price Efficiency Ratio (PER) The Price Efficiency Ratio (PER) is built around a simple question: how efficiently is the market moving from its starting point to its current point? Price often moves in indirect ways. Sometimes it travels cleanly in one direction with very little noise, and sometimes it spends more energy moving up and down than actually progressing. PER quantifies this behavior and turns it into a clear, readable number that identifies whether the market is behaving like a trend or a range. To make the idea intuitive, imagine walking from point A to point B. If you walk straight, you arrive efficiently. If you zigzag, backtrack, or wander before reaching the same point, your total travel distance becomes much larger than the straight line distance. PER applies this exact idea to price movement. How the Indicator Computes Efficiency The indicator measures two distances over the selected lookback period: Net Distance: This is the absolute distance between the closing price now and the closing price at the start of the lookback period. It represents how far the market has actually progressed. Total Distance: This is the sum of every bar to bar price change within that same period. Every small rise, drop, spike, reversal, and retrace is included. These two distances are then compared: PER = (Net Distance / Total Distance) × 100 The result is a 0-100% reading where: HIGH values (above threshold) = Price moved efficiently in one direction = Trending LOW values (below threshold) = Price zigzagged without net progress = Ranging Understanding High PER vs Low PER The easiest way to see what PER measures is by observing how price travels between two points. The image below shows a clean directional movement compared to a choppy, back and forth one. On the left, the market moves steadily from point A to point B with only small interruptions. Most of the movement contributes directly toward the final destination. Because the total distance is close to the straight line distance, PER is high. This represents a trending environment where trend following tools typically perform well. On the right, the market still reaches point B, but the path is filled with reversals. Price spends more time oscillating than progressing. Total distance becomes much larger than net distance, which produces a low PER. This represents a ranging or mean-reversion environment, where fading extremes and playing inside the range tends to be more appropriate. In simple terms: High PER means price is moving with intention and direction. Low PER means price is moving inefficiently and indecisively. How to Use PER PER is not a signal generator by itself. It is a market regime classifier, and its strength lies in selecting the right strategy for the right environment. When PER is above the threshold (Trending Environment) Price is moving efficiently. Most bars contribute to the same directional bias. This is when trend following strategies excel. Examples include: Breakouts Pullback entries into trend direction Moving average crossovers In these situations, using mean-reversion is generally less effective. When PER is below the threshold (Ranging / Mean-Reversion Environment) Price is inefficient and oscillatory. The market wastes movement and fails to make directional progress. Examples include: RSI overbought/oversold reversals Bollinger Band bounces Liquidity sweeps and reversals Breakouts tend to fail more frequently in these conditions. Example: Below is a section of the S&P 500 on the daily timeframe showing both trending and ranging conditions, along with how PER responded to each. This chart shows how PER naturally separates trending phases from ranging phases using objective efficiency rather than subjective chart reading. It demonstrates exactly how the indicator identifies regime changes and helps you understand what kind of behavior the market is currently showing. Features & Settings Dynamic vs Fixed Threshold Threshold- Different markets and timeframes produce different typical PER values. Fixed Threshold: You choose the efficiency level manually. Useful if you trade the same instrument and know the PER levels that define a trend for it. Dynamic Threshold: The threshold is calculated from historical PER distribution. This adapts automatically to each timeframe and each asset, aligning the threshold with what is normal for that chart. It reduces manual tuning and produces more consistent regime classification. Smoothing Option Raw PER can fluctuate rapidly on lower timeframes. Smoothing helps reveal the underlying efficiency trend more clearly. Volume Weighted PER A volume weighted mode is also included. When enabled, price movement occurring during high volume bars has more influence, making PER more meaningful on assets where volume impacts trend quality. Information Box The information box provides quick context, including the current PER value, the current regime (trending or ranging), and whether the threshold mode is fixed or dynamic. It is designed to make interpretation instant without additional settings or visual clutter. Summary PER will not tell you when to buy or sell. PER doesn't predict the future or generate signals. It simply tells you what kind of market you're in right now. The value is in knowing when to apply trend strategies versus mean reversion strategies. A lot of traders already have good tools they just use them in the wrong conditions. PER helps you avoid that mistake. Use it as part of your overall analysis, not as a standalone system. This indicator is open source and free. If you find it useful, a like or comment helps others discover it. Risk Disclaimer: For educational purposes only. Trading involves risk. No indicator guarantees profits. Use proper risk management.
Pine Script® Indikator
von SharpStrat
Welles Wilders MAs - MTFWelles Wilder Moving Averages - Multi-Timeframe (MTF) This indicator displays Welles Wilder's Smoothed Moving Averages calculated from a higher timeframe of your choice, allowing you to view longer-term trend data on lower timeframe charts (such as tick charts, second charts, or any intraday timeframe). KEY FEATURES: • Multi-Timeframe Capability: Plot moving averages from any timeframe (default: 5 minutes) on your current chart • Four Trend Layers: Short (34), Medium (72), Medium Extension (89), and Long (144) period moving averages • Welles Wilder Smoothing: Uses the original Welles Wilder moving average formula for smoother, less reactive trend lines • Flexible Coloring Options: Choose between price-based coloring or MA crossover-based coloring • Visual Trend Zones: Shaded areas between moving averages help identify trend strength and direction • Customizable: Adjust all periods, colors, and the source timeframe to fit your trading style IDEAL FOR: • Tick chart traders who want to see higher timeframe trends • Day traders needing multi-timeframe analysis on a single chart • Traders using range bars, Renko, or other non-time-based charts • Anyone wanting to filter trades based on higher timeframe moving average trends HOW TO USE: 1. Add the indicator to your chart 2. Set your preferred timeframe in the settings (default is 5 minutes) 3. Adjust MA periods and colors to your preference 4. Use the MA crossovers and price position relative to the MAs to identify trend direction and potential entry/exit points The Welles Wilder MA is a type of exponential moving average that provides smooth trend-following capabilities with less whipsaw than traditional moving averages.
Pine Script® Indikator
von Elevate_Trading_LLC
1
Mul TF Flow PRO ( 79 Fx )//@version=5 indicator("Multi TF Flow PRO (79 Fx )", overlay=true) // ===== GET CLOSED CANDLES ===== d_open = request.security(syminfo.tickerid, "D", open) d_close = request.security(syminfo.tickerid, "D", close) h4_open = request.security(syminfo.tickerid, "240", open) h4_close = request.security(syminfo.tickerid, "240", close) h1_open = request.security(syminfo.tickerid, "60", open) h1_close = request.security(syminfo.tickerid, "60", close) m15_open = request.security(syminfo.tickerid, "15", open) m15_close = request.security(syminfo.tickerid, "15", close) // ===== FLOW LOGIC ===== dailyFlow = d_close > d_open ? 1 : -1 h4Flow = h4_close > h4_open ? 1 : -1 h1Flow = h1_close > h1_open ? 1 : -1 m15Flow = m15_close > m15_open ? 1 : -1 // ===== COUNT ===== bullCount = (dailyFlow == 1 ? 1 : 0) + (h4Flow == 1 ? 1 : 0) + (h1Flow == 1 ? 1 : 0) + (m15Flow == 1 ? 1 : 0) bearCount = (dailyFlow == -1 ? 1 : 0) + (h4Flow == -1 ? 1 : 0) + (h1Flow == -1 ? 1 : 0) + (m15Flow == -1 ? 1 : 0) // ===== TOTAL FLOW ===== string totalFlow = bullCount > bearCount ? "TOTAL BULLISH" : bearCount > bullCount ? "TOTAL BEARISH" : "NEUTRAL" // ===== CREATE TABLE ===== var table t = table.new(position.top_right, 2, 6, border_width=1) // ===== UPDATE TABLE ===== if barstate.islast table.cell(t, 0, 0, "Timeframe", bgcolor=color.gray, text_color=color.white) table.cell(t, 1, 0, "Flow", bgcolor=color.gray, text_color=color.white) table.cell(t, 0, 1, "Daily") table.cell(t, 1, 1, dailyFlow == 1 ? "Bullish" : "Bearish", text_color=dailyFlow==1?color.lime:color.red) table.cell(t, 0, 2, "4H") table.cell(t, 1, 2, h4Flow == 1 ? "Bullish" : "Bearish", text_color=h4Flow==1?color.lime:color.red) table.cell(t, 0, 3, "1H") table.cell(t, 1, 3, h1Flow == 1 ? "Bullish" : "Bearish", text_color=h1Flow==1?color.lime:color.red) table.cell(t, 0, 4, "15M") table.cell(t, 1, 4, m15Flow == 1 ? "Bullish" : "Bearish", text_color=m15Flow==1?color.lime:color.red) table.cell(t, 0, 5, "TOTAL FLOW") table.cell(t, 1, 5, totalFlow, text_color = totalFlow=="TOTAL BULLISH"?color.lime: totalFlow=="TOTAL BEARISH"?color.red: color.orange, bgcolor = totalFlow=="TOTAL BULLISH"?color.new(color.green,80): totalFlow=="TOTAL BEARISH"?color.new(color.red,80): color.new(color.orange,80))
Pine Script® Indikator
von sakadasakada018
Smart Money Flow: Automated Liquidity & Fair Value GapsOverview This script is a comprehensive Smart Money Concepts (SMC) toolkit designed specifically for high-volatility assets like Gold (XAUUSD/MGC) on the 4-Hour timeframe. It automates the identification of institutional "traps" and entry zones by tracking Liquidity Sweeps and Fair Value Gaps (FVG). Key Features Liquidity Sweep Detection (SSL/BSL): Automatically identifies "Stop Hunts" where price wicks beyond recent swing points to grab liquidity before a reversal. Automated Fair Value Gaps (FVG): Draws and labels institutional imbalances where price is likely to return for a re-entry. Market Structure Shift (MSS): Signals the "Change of Character" (CHoCH) following a liquidity sweep, confirming a potential trend reversal. Scannable Visuals: Includes clear labels and box projections to help traders identify "Discount" and "Premium" zones at a glance. How to Trade with this Tool Wait for a Sweep: Look for the SSL Sweep (Green Triangle) or BSL Sweep (Red Triangle) on the 4H chart. Confirm the Shift: Wait for the MSS (Star) to appear, signaling that the "Smart Money" has shifted the trend. The Entry: Place your limit orders within the Labeled FVG Boxes created by the move. Risk Management: Place your Stop Loss below the wick of the Liquidity Sweep. Disclaimer This script is a tool to assist in technical analysis. It does not guarantee profits. Trading futures, especially Gold, involves significant risk. Always use proper risk-to-reward ratios.
Pine Script® Indikator
von chyg8823
Directional Authority Framework (DAF) - Multi Timeframe BreakoutDirectional Authority Framework (DAF) — Multi-Timeframe Breakout Acceptance Model Overview The Directional Authority Framework (DAF) is a multi-timeframe market state model designed to measure directional strength and alignment across higher, mid, and lower timeframes. Rather than producing entry signals, the framework evaluates whether market conditions show sufficient agreement and persistence to justify directional trading. Its primary purpose is to act as a decision-support and trade-permission tool. Conceptual Foundation Markets tend to trend more reliably when three conditions occur together: Higher timeframe directional bias is established Intermediate structure aligns with that bias Lower timeframe participation confirms continuation This script measures that alignment using a breakout-acceptance approach, where directional state is only confirmed after price demonstrates persistence beyond recent range extremes. This helps reduce reactions to temporary volatility spikes or single-bar breakouts. Breakout Acceptance Logic Directional state is determined by observing whether price continues to close beyond prior range boundaries for a defined number of bars (“acceptance”). This approach is intended to: Filter false breakouts Emphasize persistence instead of single-bar expansion Capture phases where participation remains consistent The model therefore focuses on trend continuation probability rather than early reversal detection. Multi-Timeframe Authority Structure The framework evaluates three layers: Higher Timeframe (Primary Bias) Establishes the dominant directional environment. Mid Timeframe (Alignment Layer) Checks whether structure across multiple range horizons agrees with the primary bias. Lower Timeframe (Execution Context) Measures short-term participation strength. Directional authority is then expressed as a weighted score representing the degree of agreement between these layers. Directional Authority Score The score reflects the balance between: Higher timeframe bias Mid timeframe alignment Lower timeframe participation Stronger agreement across timeframes produces higher absolute values, indicating conditions where directional strategies may have improved follow-through. Neutral readings typically occur during compression or transitional phases. How It Is Intended To Be Used This framework is designed to: Act as a trade permission filter Provide directional bias context Help avoid trading during low-alignment conditions Typical workflow: Identify whether the authority score reaches strong bullish or bearish territory Use that information as directional context Execute entries using an independent setup or strategy It is not designed to generate standalone entry or exit signals. When It Performs Best The model is most informative during: Expanding volatility phases Sustained directional moves Markets showing multi-timeframe agreement During highly rotational or range-bound conditions, readings will naturally compress toward neutral. Notes This script is intended for educational and analytical use as a market structure and alignment tool. It does not predict future price movement and should be used alongside proper risk management.
Pine Script® Indikator
von jonathanmwendwa2021
Initial Balance FDAX1!Initial Balance FDAX — a fork of the original Initial Balance indicator by noop-noop, adapted specifically for FDAX / GER40 trading. What's changed: 🕐 Timezone-proof IB detection — the script uses hour(time, "Europe/Berlin") internally, so the Initial Balance is always calculated correctly regardless of your chart's timezone setting. No more manual time shifting. DST (CET ↔ CEST) is handled automatically. 📻 Two IB session modes: Frankfurt Trading Hours — IB 08:00–09:00 CET (Frankfurt trading opens at 08:00) XETRA — IB 09:00–10:00 CET (XETRA cash market opens at 09:00) ⚙️ A.T. default settings — all default values are pre-configured for the Fix PIPS community setup. Use TradingView's built-in Defaults → Reset to defaults to restore them at any time. All original features preserved: IB levels (IBH/IBL/IBM), extensions (x2, x3), 50% intermediate levels, IB delta analytics, customizable colors and line styles. Credits: Based on the original work by noop-noop. Forked and customized for the Fix PIPS community.
Pine Script® Indikator
von oleksiimazurenko
RSI Divergence v6RSI Divergence Band (Close inside High/Low) This indicator is an advanced RSI visualization designed to show real-time momentum dynamics inside a controlled RSI range. Unlike the standard RSI, this script builds a dynamic RSI band based on RSI calculated from High and Low prices, while ensuring that RSI based on Close always stays inside the band. 🔹 How it works RSI is calculated separately for: Close price (main signal line) High price Low price The High/Low RSI values form a dynamic envelope The band is automatically adjusted so the RSI Close line is always inside it All values update on the live bar as price changes 🔹 Why this is useful Visualizes intrabar pressure and volatility Helps identify compression and expansion of momentum Improves divergence analysis Especially useful for scalping and short-term trading 🔹 Features RSI length customization Optional High/Low RSI band Adjustable RSI levels (20 / 50 / 80 by default) Clean and minimal visual design No repainting on closed bars 🔹 Best use cases Divergence trading Momentum analysis Scalping strategies Market structure confirmation
Pine Script® Indikator
von Benepamm
MovingAveragesLibrary "MovingAverages" A collection of O(1) numerically stable moving averages that support anchors and fractional lengths up to 100k bars. Pine Script has a robust set of moving averages suitable for a majority of cases, making these alternatives useful only if you need anchoring, fractional lengths, or more than 5k bars. Included are the classic SMA , EMA , RMA , WMA , VWMA , VWAP , HMA , SWMA , Linear Regression , and ATR . The common parameters are: source (float) : Series of values to process. length (simple float) : Number of bars. Optional. anchor (bool) : The condition that triggers a calculation reset. Optional. parity (simple bool) : Sets if built-in function should be used. Optional. Other DSP filter adaptations include One Euro , Laguerre , Super Smoother , and Holt , as well as rate limiting functions such as Smooth Damp and Slew Rate Limiter . ANCHORING This is the libraries first and primary benefit. Akin to the built-in VWAP, anchoring is managed by passing a series bool into the function. For sessional anchoring, the included new_session() returns true on the first bar of intraday sessions, and stabilize_anchor() helps reduce near-anchor volatility. When no length is provided, the series continues indefinitely until a new anchor is set. Values during the warmup period are returned. source = close length = 9.5 anchor = ma.new_session() // Assumes library is imported as "ma" swma = ma.swma(source, length, anchor).stabilize_anchor(source, length, anchor) STREAMING UPDATES Rather than naively using loops to recalculate the whole series on each bar, linear interpolation (aka. "lerping") is used to incrementally update and translate between values. The canonical formula being: a + (b - a) * t. This formula is effectively an EMA, but it's applicable to nearly all averaging equations. Coupling this technique with a circular buffer captures 3 of the 5 benefits this library offers: O(1) computation, fractional lengths, and 100k bars. NUMERIC STABILITY The last benefit is how the library minimizes floating point errors. When possible, Pine Script functions are used for mathematical parity. Otherwise Kahan summation error compensation is used when calculating an average. Not only does this keep custom implementations stable throughout the series, it also helps keep them within 1.0e-10 of the built-in functions. Automatically defaulting to the built-in functions can be disabled by setting parity to false .
Pine Script® Bibliothek
von liquid-trader