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TA Confluence Scanner v2.9 | Mint_Algo📘 TA Confluence Scanner Introduction The TA Confluence Scanner is a multi-factor trend system designed to filter market noise and identify high-probability trade setups. By combining adaptive algorithms (KAMA) with Price Action methodologies (SMC, Breakouts, Fractals), this indicator operates on the principle of Confluence : a signal is only valid when multiple independent tools agree on the direction. Instead of relying on a single lagging indicator (like just MA fast and slow crossover), this script acts as a "Scanner," evaluating the market state through Volatility, Trend Structure, and Equilibrium. ─────────────────────────────────────────────────── Important Note To make this "Plug & Play," I have included optimized presets in the settings for different timeframes (1m/15m-1h/4h-1D) and trading styles (Scalper, Intraday, Swing, Investor) tested on symbols: FX:EURUSD IG:NASDAQ BITSTAMP:BTCUSD BINANCE:ETHUSD CAPITALCOM:US500 OANDA:XAUUSD NASDAQ:AAPL NASDAQ:TSLA BUT default settings already include a good preset which excludes most of the noise and grabs the trend better (fewer entries, but quality is higher). Check the presets at the bottom 👇 ─────────────────────────────────────────────────── Core Features Adaptive Trend Filter (KAMA): Adjusts to market volatility to distinguish between chop and true trends. SMC Equilibrium (EQ) Fans: A three-tiered dynamic structure (Fast, Medium, Slow) for trailing stops and targets. Confluence Counter: Visually displays the strength of a signal (e.g., "Strong 4/6") based on how many factors align. Re-Entry Logic: Identifies low-risk entry points within an existing trend. Automated S/R & Breakouts: Detects key pivot levels and structural breaks. ─────────────────────────────────────────────────── Settings & Components Breakdown 1. KAMA (Primary Trend Filter) The backbone of the system. It calculates the Efficiency Ratio (ER) of price movement. How it works: If the ER is high (strong trend), KAMA follows price closely. If ER is low (ranging), KAMA flattens out to prevent false signals. Tuning: Fast (ER ~100/5/60): For Scalping. Smooth: Default settings are optimized for a balance between lag and noise reduction. 2. SMC Equilibrium (EQ Structure) Based on the HL2 formula (High+Low / 2), this creates a "fan" of three lines: EQ1 (Fast): The aggressive line. Used for early exits or scalping stops. EQ2 (Medium): The baseline trend structure. EQ3 (Slow): The major trend container. Used for position trading. Usage: Use these lines to gauge how far price has deviated from its "fair value." 3. Breakout & Internal Trend Lookback Period: Defines the range for a valid breakout. A lower lookback (e.g., 10) gives earlier signals but more noise; a higher lookback (e.g., 20-30) confirms significant structural breaks. Internal Trend: A simplified SMA check to ensure immediate momentum aligns with the macro trend. 4. Signal Strength (The Confluence Meter) The indicator counts active signals from: KAMA, Internal Trend, S/R, FVG, Breakout, and EQ. Strong Signal: When the count hits your threshold (e.g., 4/6 ). This suggests a high-probability reversal or breakout. Medium Signal (Triangles): These appear when the trend is active but not all filters align. These are excellent continuation/re-entry points. ─────────────────────────────────────────────────── How to Trade (Strategy Guide) 🎯 The Entry Wait for a Strong Signal (Large Label). This confirms that volatility, structure, and momentum have aligned. Conservative: Wait for the candle to close. Aggressive: Enter on the breakout of the KAMA line. 🔄 Re-Entry & Continuation Markets rarely move in a straight line. Scenario: You missed the initial "Strong" entry, or you took profit and want to re-enter. The Signal: Look for the small Triangles (Medium signals). These often appear after a pullback when price resumes the main trend. Logic: If the main KAMA trend is still green/red, but the "Strong" signal isn't firing, a Triangle indicates a safe place to add to a position. ⚠️ Pyramiding & Risk Management (Advanced) The EQ Lines (Fast/Medium/Slow) are designed for a tiered position management strategy: Entry: Open position (e.g., 0.03 lots). First Take Profit: When price extends far beyond EQ1 (Fast) , lock in partial profits. Trailing Stop: Move your Stop Loss to trace the EQ2 (Medium) line. Trend Riding: Hold the "Runner" portion of your position until price closes back under EQ3 (Slow) or the KAMA line. Tip: Use William Fractals (Period 2) to pinpoint exact swing highs/lows for tightening stops. ─────────────────────────────────────────────────── Presets & Optimized Settings To make this "Plug & Play," I have included optimized presets in the settings for different trading styles. (If you don't see some parameters, that means they are turned off in trading mode) ⚡ SCALPER (1m - 5m) KAMA: ER: 100 Fast Length: 15 Slow Length: 30 FVG: Size %: 0.01 Trend Detection: Length: 20 Breakout: Lookback Period: 10 S/R Detection: Pivot Length: 10 Tolerance: 0.3 SMC EQ: Default: 10 EQ1: 10 EQ2 (Main): 30 EQ3: 120 Signal Strength: Strong: 4 Medium: 3 📊 INTRADAY (15m - 1H) KAMA: ER: 100 Fast Length: 5 Slow Length: 30 Trend Detection: Length: 100 Breakout: Lookback Period: 30 S/R Detection: Pivot Length: 20 Tolerance: 0.5 SMC EQ: Default: 10 EQ1: 10 EQ2 (Main): 40 EQ3: 80 Signal Strength: Strong: 4 Medium: 3 📈 SWING (4H - 1D) KAMA: ER: 30 Fast Length: 4 Slow Length: 30 Trend Detection: Length: 50 Breakout: Lookback Period: 20 S/R Detection: Pivot Length: 30 Tolerance: 0.7 SMC EQ: Default: 10 EQ1: 10 EQ2: 50 EQ3 (Main): 60 Signal Strength: Strong: 4 Medium: 3 💼 INVESTOR (4H - 1D+) KAMA: ER: 30 Fast Length: 5 Slow Length: 10 Trend Detection: Length: 100 Breakout: Lookback Period: 50 S/R Detection: Pivot Length: 30 Tolerance: 0.7 SMC EQ: Default: 10 EQ1: 10 EQ2: 50 EQ3 (Main): 100 Signal Strength: Strong: 4 Medium: 3 ─────────────────────────────────────────────────── Notes FVG (Fair Value Gaps): Optional. Enable if you trade volatile assets like Crypto/Gold where imbalances are common. Support/Resistance: The built-in Pivot system is optional. Disable it if you prefer drawing your own levels to keep the chart clean. Recommended Pairing: For best results, pair this with a momentum oscillator like RSI to detect the range regime of a trend. Or DI+ and DI- (when it crosses over each other, that means the "range of possible" regime change of a trend). ─────────────────────────────────────────────────── Disclaimer: This tool is for informational purposes only. "Confluence" increases probability but does not guarantee results. Always manage your risk.
Pine Script® indicator
by Mint_Algo
3
Evil's Two Legged IndicatorA pullback strategy indicator designed for scalping. This attempts to Identify classic 2-leg pullback patterns and filters out signals during choppy market conditions for better signals. How It Works: The indicator detects when price forms two pullback legs (swing lows in an uptrend or swing highs in a downtrend) near key support/resistance zones, then signals when reversal confirmation occurs. Equal-level pullbacks (double bottoms/tops) are marked as stronger signals. Features: Channel Options: Donchian (default), Linear Regression, or ATR Bands Configurable EMA: For trend confirmation (default 21) Adjustable Leg Detection: Swing lookback period for different timeframes Equal Level Detection: Highlights stronger setups where both legs terminate at similar prices Three Chop Filters (can be combined): ADX Filter — suppresses signals when ADX is below threshold (default 25) EMA Slope Filter — suppresses signals when EMA is flat Chop Index Filter — suppresses signals when Chop Index indicates ranging conditions Signal Types: Standard signals: 2-leg pullback detected with trend confirmation Strong signals (highlighted): 2-leg pullback with equal highs/lows — higher probability setup Recommended Use: Best suited for scalping on 1-5 minute chart. Designed for 1.5:1 risk/reward setups. Settings Guide: Increase "Swing Lookback" for fewer, higher-quality signals Adjust "Equal Level Threshold" to fine-tune what counts as a double bottom/top Enable/disable chop filters based on your market and timeframe Use "Show Strong Signals Only" to filter for highest conviction setups
Pine Script® indicator
by evilTexan
Buy / Sell Volume HeaderBuy / Sell Volume Header Description - Buy / Sell Volume Header displays real-time buying and selling volume with percentages in a clean dashboard at the top or bottom of your chart. The indicator calculates buying pressure as volume weighted toward the close relative to the bar's range, and selling pressure as volume weighted toward the high. - Perfect for day traders and scalpers who need instant visual confirmation of buying vs selling pressure without cluttering their chart with additional panes. Key Features: - Real-time buy/sell volume split with percentages - Customizable lookback period (1 bar for current, or sum multiple bars) - Adjustable table position (top/bottom, left/center/right) - Five size options (Tiny to Huge) - Color-coded: Green (buying volume), Red (selling volume) - Clean, minimal design that doesn't obstruct price action Calculation Method: - Buying Volume = Total Volume × (Close - Low) / (High - Low) - Selling Volume = Total Volume × (High - Close) / (High - Low) How to Use: - Select header location (default: Top Right) and table size (default: Normal). Set lookback period to 1 for current bar only, or higher values to see cumulative volume over multiple bars. Reading the Display: - Green Box (Left): Buying volume and percentage of total - Red Box (Right): Selling volume and percentage of total - Numbers update in real-time on every tick Trading Applications: - Trend Confirmation: - In uptrends, buying volume should consistently be >60%. - In downtrends, selling volume should be >60%. Divergences warn of potential reversals. Breakout Validation: - Valid breakouts show 70%+ volume in breakout direction. - Breakouts with <55% directional volume often fail. Reversal Signals: - When price makes new high but buying volume drops below 50%, watch for reversal. When price makes new low but selling volume drops below 50%, watch for bounce. Scalping Entry: - Enter long when buying volume spikes above 65-70% with price momentum. Enter short when selling volume spikes above 65-70% with price momentum. Best Practices: - Use lookback=1 for intraday scalping. Use lookback=3-5 for swing context. Combine with price action for confirmation. Volume percentages work best on liquid instruments (MNQ, MES, stocks with high volume). NPR21 Disclaimer The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by TradingView.
Pine Script® indicator
by NPR21
ITM EMA Scalper (9/15) + Dual Index ConfirmationITM EMA Scalper (9/15) + Dual Index Confirmation is a precision scalping tool designed for traders who want high-probability entries, tight risk, and clean momentum trades using ITM options on NIFTY & BANKNIFTY. This indicator combines price action, EMA trend filters, momentum candle logic, and a dual-index confirmation system to eliminate fake signals and catch only high-quality moves. 🔥 Core Logic This indicator uses: 9 EMA & 15 EMA for trend direction EMA angle filter (≥30°) to ensure strong directional momentum Momentum candle detection (Pin Bar, Big Body, Rejection Candle) EMA touch/rejection logic for precision entries Dual index alignment (NIFTY + BANKNIFTY) for institutional-level confirmation Trades occur only when both indices agree, dramatically reducing false setups. 🎯 Entry Conditions A BUY signal appears when: 9 EMA > 15 EMA Both EMAs have strong upward slope Momentum candle forms while touching/near EMAs Candle closes bullish Confirmation index (e.g., BankNifty) also bullish A SELL signal is the exact opposite. 🛡 Risk Management Built-In For every valid setup, the indicator automatically plots: Entry level (break of candle high/low) Stop-loss level (low/high of signal candle) 1:2 Risk–Reward Target These lines extend until target or SL is hit (or are cleared automatically after N bars). 🧠 Why ITM Options? Using ITM options gives: Higher delta Faster momentum capture Lower time decay impact Cleaner correlation with spot movement Perfect for scalping. 📈 Ideal Timeframe Designed for 5-minute charts Works for both NIFTY and BANKNIFTY ⚡ Alerts Included BUY Alert SELL Alert These alerts trigger exactly when the strategy identifies a high-probability setup. 🚫 Avoid False Signals This indicator prevents trades if: Trend is flat EMAs lose angle Opposite index contradicts the setup Candle lacks momentum Market is choppy or sideways 💡 Perfect For Scalpers Index option traders ITM directional traders Algo traders needing clean signal logic Momentum strategy users
Pine Script® indicator
by ankitdravani1
RastaRasta — Educational Strategy (Pine v5) Momentum · Smoothing · Trend Study Overview The Rasta Strategy is a visual and educational framework designed to help traders study momentum transitions using the interaction between a fast-reacting EMA line and a slower smoothed reference line. It is not a signal generator or profit system; it’s a learning tool for understanding how smoothing, crossovers, and filters interact under different market conditions. The script displays: A primary EMA line (the fast reactive wave). A Smoothed line (using your chosen smoothing method). Optional fog zones between them for quick visual context. Optional DNA rungs connecting both lines to illustrate volatility compression and expansion. Optional EMA 8 / EMA 21 trend filter to observe higher-time-frame alignment. Core Idea The Rasta model focuses on wave interaction. When the fast EMA crosses above the smoothed line, it reflects a shift in short-term momentum relative to background trend pressure. Cross-unders suggest weakening or reversal. Rather than treating this as a trading “signal,” use it to observe structure, study trend alignment, and test how smoothing type affects reaction speed. Smoothing Types Explained The script lets you experiment with multiple smoothing techniques: Type Description Use Case SMA (Simple Moving Average) Arithmetic mean of the last n values. Smooth and steady, but slower. Trend-following studies; filters noise on higher time frames. EMA (Exponential Moving Average) Weights recent data more. Responds faster to new price action. Momentum or reactive strategies; quick shifts and reversals. RMA (Relative Moving Average) Used internally by RSI; smooths exponentially but slower than EMA. Momentum confirmation; balanced response. WMA (Weighted Moving Average) Linear weights emphasizing the most recent data strongly. Intraday scalping; crisp but potentially noisy. None Disables smoothing; uses the EMA line alone. Raw comparison baseline. Each smoothing method changes how early or late the strategy reacts: Faster smoothing (EMA/WMA) = more responsive, good for scalping. Slower smoothing (SMA/RMA) = more stable, good for trend following. Modes of Study 🔹 Scalper Mode Use short EMA lengths (e.g., 3–5) and fast smoothing (EMA or WMA). Focus on 1 min – 15 min charts. Watch how quick crossovers appear near local tops/bottoms. Fog and rung compression reveal volatility contraction before bursts. Goal: study short-term rhythm and liquidity pulses. 🔹 Momentum Mode Use moderate EMA (5–9) and RMA smoothing. Ideal for 1 H–4 H charts. Observe how the fog color aligns with trend shifts. EMA 8 / 21 filter can act as macro bias; “Enter” labels will appear only in its direction when enabled. Goal: study sustained motion between pullbacks and acceleration waves. 🔹 Trend-Follower Mode Use longer EMA (13–21) with SMA smoothing. Great for daily/weekly charts. Focus on periods where fog stays unbroken for long stretches — these illustrate clear trend dominance. Watch rung spacing: tight clusters often precede consolidations; wide rungs signal expanding volatility. Goal: visualize slow-motion trend transitions and filter whipsaw conditions. Components EMA Line (Red): Fast-reacting short-term direction. Smoothed Line (Yellow): Reference trend baseline. Fog Zone: Green when EMA > Smoothed (up-momentum), red when below. DNA Rungs: Thin connectors showing volatility structure. EMA 8 / 21 Filter (optional): When enabled, the strategy will only allow Enter events if EMA 8 > EMA 21. Use this to study higher-trend gating effects. Educational Applications Momentum Visualization: Observe how the fast EMA “breathes” around the smoothed baseline. Trend Transitions: Compare different smoothing types to see how early or late reversals are detected. Noise Filtering: Experiment with fog opacity and smoothing lengths to understand trade-off between responsiveness and stability. Risk Concept Simulation: Includes a simple fixed stop-loss parameter (default 13%) for educational demonstrations of position management in the Strategy Tester. How to Use Add to Chart → “Strategy.” Works on any timeframe and instrument. Adjust Parameters: Length: base EMA speed. Smoothing Type: choose SMA, EMA, RMA, or WMA. Smoothing Length: controls delay and smoothness. EMA 8 / 21 Filter: toggles trend gating. Fog & Rungs: visual study options only. Study Behavior: Use Strategy Tester → List of Trades for entry/exit context. Observe how different smoothing types affect early vs. late “Enter” points. Compare trend periods vs. ranging periods to evaluate efficiency. Combine with External Tools: Overlay RSI, MACD, or Volume for deeper correlation analysis. Use replay mode to visualize crossovers in live sequence. Interpreting the Labels Enter: Marks where fast EMA crosses above the smoothed line (or when filter flips positive). Exit: Marks where fast EMA crosses back below. These are purely analytical markers — they do not represent trade advice. Educational Value The Rasta framework helps learners explore: Reaction time differences between moving-average algorithms. Impact of smoothing on signal clarity. Interaction of local and global trends. Visualization of volatility contraction (tight DNA rungs) and expansion (wide fog zones). It’s a sandbox for studying price structure, not a promise of profit. Disclaimer This script is provided for educational and research purposes only. It does not constitute financial advice, trading signals, or performance guarantees. Past market behavior does not predict future outcomes. Users are encouraged to experiment responsibly, record observations, and develop their own understanding of price behavior. Author: Michael Culpepper (mikeyc747) License: Educational / Open for study and modification with credit. Philosophy: “Learning the rhythm of the market is more valuable than chasing its profits.” — Rasta
Pine Script® strategy
by mikeyc747
TT ToniTrading Adjustable Price Fee Band [%]Simple but perfectly functional indicator with Trading fee bands. Crypto Trading is with fees and very small trades often don't make sense due to the fees we need to pay. With this band you can visualize your fees before entering a trade and take smarter decisions for tight daytrading and scalping. You type in the fee for just one trade, the Taker Fee for a Market Order. The bands show the fees in % times 2, so what you will pay for opening and closing the trade in reality. The band therefore shows the real break-even point, with included payed fees. It additionally helps taking trading decisions or not with very small trades (Scalping). You can smooth the bands if you want and you can addtionally show the true datapoints if you prefer smoothend bands. I recommend no bigger smoothing than 2, if you don't want to show the datapoints. Additionally you can fill the band, and of course adjust transperency, colour and all the general TradingView stuff. Fee Overview in the current market for the indicator input field: BingX with 10% fee reduction code = 0,045 % BingX: Normal = 0,050 % Bitget, ByBit, BitUnix, Blofin, Phemex: Normal = 0,060 % Bitget, ByBit, BitUnix, Blofin, Phemex: with 20% fee reduction code = 0,048 % Have fun Trading, Happy Profits! Greetings ToniTrading
Pine Script® indicator
by ToniTradingCrypto
Inflection PointInflection Point - The Adaptive Confluence Reversal Engine This is not just another peak and valley indicator; it is a complete and total reimagining of how market turning points are detected, qualified, and acted upon. Born from the foundational concepts explored in systems like my earlier creation, DAFE - Turning Point, Inflection Point is a ground-up engineering feat designed for the modern trader. It moves beyond static rules and simple pattern recognition into the realm of dynamic, multi-factor confluence analysis and adaptive machine learning. Where other indicators provide a guess, Inflection Point provides a probability. It meticulously analyzes the market's deepest currents—momentum, exhaustion, and reversal velocity—and fuses them into a single, unified "Confluence Score." This is not a simple combination of indicators; it is an intelligent, weighted system where each component works in concert, creating an analytical engine that is orders of magnitude more sophisticated and reliable than any standard reversal tool. Furthermore, Inflection Point learns. Through its advanced Adaptive Learning Engine, it constantly monitors its own performance, adjusting its confidence and selectivity in real-time based on its recent success rate. This allows it to adapt its behavior to any security, on any timeframe, with remarkable success. Theoretical Foundation - Confluence Core Inflection Point's predictive power does not come from a single, magical formula. It comes from the intelligent synthesis of three critical market phenomena, weighted and scored in real-time to generate a single, high-conviction probability rating. 1. Factor One: Pre-Reversal Momentum State (RSI Analysis) Instead of reacting to a simple RSI cross, Inflection Point proactively scans for the build-up of momentum that precedes a reversal. • Formulaic Concept: It measures the highest RSI value over a lookback period for peaks and the lowest RSI for valleys. A signal is only considered valid if significant momentum has been established before the turn, indicating a stretched market condition ripe for reversal. • Asymmetric Sophistication: The engine uses different, optimized thresholds for bull and bear momentum, recognizing that markets often fall faster than they rise. 2. Factor Two: Volatility Exhaustion (Bollinger Band Analysis) A true reversal often occurs when price makes a final, exhaustive push into unsustainable territory. • Formulaic Concept: The engine detects when price has significantly pierced the outer Bollinger Bands. This is not just a touch, but a statistical deviation from the mean that signals volatility exhaustion, where the energy for the current move is likely depleted. 3. Factor Three: Reversal Strength (Rate of Change Analysis) The character of a reversal matters. A sharp, decisive turn is more significant than a slow, meandering one. • Formulaic Concept: Using a short-term Rate of Change (ROC), the engine measures the velocity of the reversal itself. A higher ROC score adds significant weight to the final probability, confirming that the new direction has conviction. 4. The Final Calculation: The Adaptive Learning Engine This is the system's "brain." It maintains a history of its past signals and calculates its real-time win rate. This hitRate is then used to generate an adaptiveMultiplier. • Self-Correction: In "Quality Control" mode, a high win rate makes the indicator more selective, demanding a higher probability score to issue a signal, thereby protecting streaks. A lower win rate makes it slightly less selective to ensure it continues learning from new market conditions. • The result is a system that is not static, but a living, breathing tool that adapts its personality to the unique rhythm of any chart. Why Inflection Point is a Paradigm Shift Inflection Point is fundamentally different from other reversal indicators for three key reasons: Confluence Over Isolation: Standard indicators look at one thing (e.g., RSI > 70). Inflection Point simultaneously analyzes momentum, volatility, and velocity, understanding that true reversals are a product of multiple converging factors. It answers not just "if," but "why" a reversal is likely. Probabilistic Over Binary: Other tools give you a simple "yes" or "no." Inflection Point provides a probability score from 0-100, allowing you to gauge the conviction of every potential signal. This empowers you to differentiate between a weak setup and an A+ opportunity. Adaptive Over Static: Every other indicator uses the same rules forever. Inflection Point's Adaptive Engine means it is constantly refining its own logic based on what is actually working in the current market, on the specific asset you are trading. It is tailored to the now. The Inputs Menu - Your Command Center Every setting is a lever of control, allowing you to tune the engine to your precise trading style and market focus. 🧠 Neural Core Engine Analysis Depth: This is the primary lookback for the Bollinger Band and other core calculations. A shorter depth makes the indicator faster and more sensitive, ideal for scalping. A longer depth makes it slower and more stable, ideal for swing trading. Minimum Probability %: This is your master signal filter. It sets the minimum Confluence Score required to plot a signal. Higher values (85-95) will give you only the highest-conviction A+ setups. Lower values (70-80) will show more potential opportunities. 🤖 Adaptive Neural Learning Enable Adaptive Learning Engine: Toggles the entire learning system. Disabling it will make the indicator's logic static. Peak/Valley Success Threshold (ATR): This defines what constitutes a "successful" trade for the learning engine. A value of 1.5 means price must move 1.5x the ATR in your favor for the signal to be marked as a win. Adjust this to match your personal take-profit strategy. Adaptive Mode: This dictates how the engine uses its hitRate. "Quality Control" is recommended for its intelligent filtering. "Aggressive" will always boost signal scores, useful for finding more setups in a known, trending environment. Asymmetric Balance: Allows you to apply a "boost" to either peak (short) or valley (long) signals. If you find the market you're trading has stronger long reversals, you can increase the "Valley Signal Boost" to catch them more effectively. 🛡️ Elite Filters Market Noise Filter: An exceptional tool for avoiding choppy markets. It counts the number of directional changes in the last 5 bars. If the market is whipping back and forth too much, it will block the signal. Lower the "Max Direction Changes" to be extremely selective. Volume Filter: Requires signal confirmation from a significant volume spike. The "Volume Multiplier" dictates how large this spike must be (e.g., 1.2 = 20% above average volume). This is invaluable for filtering out low-conviction moves in stocks and crypto. The Dashboard - Your Analytical Co-Pilot The dashboard is not just a set of numbers; it is a holistic overview of the market's health and the engine's current state. Unified AI Score: This section provides the most critical, at-a-glance information. "Total Score" is the current probability reading, while "Quality" gives you a human-readable interpretation. "Win Rate" shows the real-time performance of the Adaptive Engine. Order Flow (OFPI): This measures the "weight" of money behind recent price moves by analyzing price change relative to volume. A high positive OFPI suggests strong buying pressure, while a high negative value suggests strong selling pressure. It gives you a peek into the market's underlying flow. Component Analysis: This allows you to see the individual "Peak" and "Valley" confidence scores before they are filtered, giving you insight into building momentum before a signal forms. Market Structure: This panel assesses the broader environment. "HTF Trend" tells you the direction of the larger trend (based on EMAs), while "Vol Regime" tells you if the market is in a high, medium, or low volatility state. Use this to align your signals with the broader market context. Filter & Engine Statistics: Available on the "Large" dashboard, this provides deep insight into how many signals are being blocked by your filters and the current status of the Adaptive Engine's multiplier. The Visual Interface - A Symphony of Data Every visual element on the chart is designed for instant interpretation and insight. Signal Markers: Simple, clean triangles mark the exact bar of a valid signal. A box is drawn around the high/low of the signal bar to highlight the precise point of inflection. Dynamic Support/Resistance Zones: These are the glowing lines on your chart. They are not static lines; they are dynamic levels that represent the current battlefield between buyers and sellers. Cyber Cyan (Valley Blue): This is the current Support Zone. This is the price level the market is currently trying to defend. Neural Pink (Peak Red): This is the current Resistance Zone. This is the price level the market is currently trying to break through. Grey (Next Level): This line is a projection, based on the current momentum and the size of the S/R range, of where the next major level of conflict will likely be. It acts as a potential price target. Development & Philosophy Inflection Point was not assembled; it was engineered. It represents hundreds of hours of research into market dynamics, statistical analysis, and machine learning principles. The goal was to create a tool that moves beyond the limitations of traditional technical analysis, which often fails in modern, algorithm-driven markets. By building a system based on multi-factor confluence and self-adaptive logic, Inflection Point provides a quantifiable, statistical edge that is simply unattainable with simpler tools. This is the result of a relentless pursuit of a better, more intelligent way to trade. Universal Applicability The principles of momentum, exhaustion, and velocity are universal to all freely traded markets. Because of its adaptive core and robust filtering options, Inflection Point has proven to be exceptionally effective on any security (stocks, crypto, forex, indices, futures) and on any timeframe (from 1-minute scalping charts to daily swing trading charts). " Markets are constantly in a state of uncertainty and flux and money is made by discounting the obvious and betting on the unexpected. " — George Soros Trade with insight. Trade with anticipation. — Dskyz, for DAFE Trading Systems
Pine Script® indicator
by DskyzInvestments
33
VoVix DEVMA🌌 VoVix DEVMA: A Deep Dive into Second-Order Volatility Dynamics Welcome to VoVix+, a sophisticated trading framework that transcends traditional price analysis. This is not merely another indicator; it is a complete system designed to dissect and interpret the very fabric of market volatility. VoVix+ operates on the principle that the most powerful signals are not found in price alone, but in the behavior of volatility itself. It analyzes the rate of change, the momentum, and the structure of market volatility to identify periods of expansion and contraction, providing a unique edge in anticipating major market moves. This document will serve as your comprehensive guide, breaking down every mathematical component, every user input, and every visual element to empower you with a profound understanding of how to harness its capabilities. 🔬 THEORETICAL FOUNDATION: THE MATHEMATICS OF MARKET DYNAMICS VoVix+ is built upon a multi-layered mathematical engine designed to measure what we call "second-order volatility." While standard indicators analyze price, and first-order volatility indicators (like ATR) analyze the range of price, VoVix+ analyzes the dynamics of the volatility itself. This provides insight into the market's underlying state of stability or chaos. 1. The VoVix Score: Measuring Volatility Thrust The core of the system begins with the VoVix Score. This is a normalized measure of volatility acceleration or deceleration. Mathematical Formula: VoVix Score = (ATR(fast) - ATR(slow)) / (StDev(ATR(fast)) + ε) Where: ATR(fast) is the Average True Range over a short period, representing current, immediate volatility. ATR(slow) is the Average True Range over a longer period, representing the baseline or established volatility. StDev(ATR(fast)) is the Standard Deviation of the fast ATR, which measures the "noisiness" or consistency of recent volatility. ε (epsilon) is a very small number to prevent division by zero. Market Implementation: Positive Score (Expansion): When the fast ATR is significantly higher than the slow ATR, it indicates a rapid increase in volatility. The market is "stretching" or expanding. Negative Score (Contraction): When the fast ATR falls below the slow ATR, it indicates a decrease in volatility. The market is "coiling" or contracting. Normalization: By dividing by the standard deviation, we normalize the score. This turns it into a standardized measure, allowing us to compare volatility thrust across different market conditions and timeframes. A score of 2.0 in a quiet market means the same, relatively, as a score of 2.0 in a volatile market. 2. Deviation Analysis (DEV): Gauging Volatility's Own Volatility The script then takes the analysis a step further. It calculates the standard deviation of the VoVix Score itself. Mathematical Formula: DEV = StDev(VoVix Score, lookback_period) Market Implementation: This DEV value represents the magnitude of chaos or stability in the market's volatility dynamics. A high DEV value means the volatility thrust is erratic and unpredictable. A low DEV value suggests the change in volatility is smooth and directional. 3. The DEVMA Crossover: Identifying Regime Shifts This is the primary signal generator. We take two moving averages of the DEV value. Mathematical Formula: fastDEVMA = SMA(DEV, fast_period) slowDEVMA = SMA(DEV, slow_period) The Core Signal: The strategy triggers on the crossover and crossunder of these two DEVMA lines. This is a profound concept: we are not looking at a moving average of price or even of volatility, but a moving average of the standard deviation of the normalized rate of change of volatility. Bullish Crossover (fastDEVMA > slowDEVMA): This signals that the short-term measure of volatility's chaos is increasing relative to the long-term measure. This often precedes a significant market expansion and is interpreted as a bullish volatility regime. Bearish Crossunder (fastDEVMA < slowDEVMA): This signals that the short-term measure of volatility's chaos is decreasing. The market is settling down or contracting, often leading to trending moves or range consolidation. ⚙️ INPUTS MENU: CONFIGURING YOUR ANALYSIS ENGINE Every input has been meticulously designed to give you full control over the strategy's behavior. Understanding these settings is key to adapting VoVix+ to your specific instrument, timeframe, and trading style. 🌀 VoVix DEVMA Configuration 🧬 Deviation Lookback: This sets the lookback period for calculating the DEV value. It defines the window for measuring the stability of the VoVix Score. A shorter value makes the system highly reactive to recent changes in volatility's character, ideal for scalping. A longer value provides a smoother, more stable reading, better for identifying major, long-term regime shifts. ⚡ Fast VoVix Length: This is the lookback period for the fastDEVMA. It represents the short-term trend of volatility's chaos. A smaller number will result in a faster, more sensitive signal line that reacts quickly to market shifts. 🐌 Slow VoVix Length: This is the lookback period for the slowDEVMA. It represents the long-term, baseline trend of volatility's chaos. A larger number creates a more stable, slower-moving anchor against which the fast line is compared. How to Optimize: The relationship between the Fast and Slow lengths is crucial. A wider gap (e.g., 20 and 60) will result in fewer, but potentially more significant, signals. A narrower gap (e.g., 25 and 40) will generate more frequent signals, suitable for more active trading styles. 🧠 Adaptive Intelligence 🧠 Enable Adaptive Features: When enabled, this activates the strategy's performance tracking module. The script will analyze the outcome of its last 50 trades to calculate a dynamic win rate. ⏰ Adaptive Time-Based Exit: If Enable Adaptive Features is on, this allows the strategy to adjust its Maximum Bars in Trade setting based on performance. It learns from the average duration of winning trades. If winning trades tend to be short, it may shorten the time exit to lock in profits. If winners tend to run, it will extend the time exit, allowing trades more room to develop. This helps prevent the strategy from cutting winning trades short or holding losing trades for too long. ⚡ Intelligent Execution 📊 Trade Quantity: A straightforward input that defines the number of contracts or shares for each trade. This is a fixed value for consistent position sizing. 🛡️ Smart Stop Loss: Enables the dynamic stop-loss mechanism. 🎯 Stop Loss ATR Multiplier: Determines the distance of the stop loss from the entry price, calculated as a multiple of the current 14-period ATR. A higher multiplier gives the trade more room to breathe but increases risk per trade. A lower multiplier creates a tighter stop, reducing risk but increasing the chance of being stopped out by normal market noise. 💰 Take Profit ATR Multiplier: Sets the take profit target, also as a multiple of the ATR. A common practice is to set this higher than the Stop Loss multiplier (e.g., a 2:1 or 3:1 reward-to-risk ratio). 🏃 Use Trailing Stop: This is a powerful feature for trend-following. When enabled, instead of a fixed stop loss, the stop will trail behind the price as the trade moves into profit, helping to lock in gains while letting winners run. 🎯 Trail Points & 📏 Trail Offset ATR Multipliers: These control the trailing stop's behavior. Trail Points defines how much profit is needed before the trail activates. Trail Offset defines how far the stop will trail behind the current price. Both are based on ATR, making them fully adaptive to market volatility. ⏰ Maximum Bars in Trade: This is a time-based stop. It forces an exit if a trade has been open for a specified number of bars, preventing positions from being held indefinitely in stagnant markets. ⏰ Session Management These inputs allow you to confine the strategy's trading activity to specific market hours, which is crucial for day trading instruments that have defined high-volume sessions (e.g., stock market open). 🎨 Visual Effects & Dashboard These toggles give you complete control over the on-chart visuals and the dashboard. You can disable any element to declutter your chart or focus only on the information that matters most to you. 📊 THE DASHBOARD: YOUR AT-A-GLANCE COMMAND CENTER The dashboard centralizes all critical information into one compact, easy-to-read panel. It provides a real-time summary of the market state and strategy performance. 🎯 VOVIX ANALYSIS Fast & Slow: Displays the current numerical values of the fastDEVMA and slowDEVMA. The color indicates their direction: green for rising, red for falling. This lets you see the underlying momentum of each line. Regime: This is your most important environmental cue. It tells you the market's current state based on the DEVMA relationship. 🚀 EXPANSION (Green) signifies a bullish volatility regime where explosive moves are more likely. ⚛️ CONTRACTION (Purple) signifies a bearish volatility regime, where the market may be consolidating or entering a smoother trend. Quality: Measures the strength of the last signal based on the magnitude of the DEVMA difference. An ELITE or STRONG signal indicates a high-conviction setup where the crossover had significant force. PERFORMANCE Win Rate & Trades: Displays the historical win rate of the strategy from the backtest, along with the total number of closed trades. This provides immediate feedback on the strategy's historical effectiveness on the current chart. EXECUTION Trade Qty: Shows your configured position size per trade. Session: Indicates whether trading is currently OPEN (allowed) or CLOSED based on your session management settings. POSITION Position & PnL: Displays your current position (LONG, SHORT, or FLAT) and the real-time Profit or Loss of the open trade. 🧠 ADAPTIVE STATUS Stop/Profit Mult: In this simplified version, these are placeholders. The primary adaptive feature currently modifies the time-based exit, which is reflected in how long trades are held on the chart. 🎨 THE VISUAL UNIVERSE: DECIPHERING MARKET GEOMETRY The visuals are not mere decorations; they are geometric representations of the underlying mathematical concepts, designed to give you an intuitive feel for the market's state. The Core Lines: FastDEVMA (Green/Maroon Line): The primary signal line. Green when rising, indicating an increase in short-term volatility chaos. Maroon when falling. SlowDEVMA (Aqua/Orange Line): The baseline. Aqua when rising, indicating a long-term increase in volatility chaos. Orange when falling. 🌊 Morphism Flow (Flowing Lines with Circles): What it represents: This visualizes the momentum and strength of the fastDEVMA. The width and intensity of the "beam" are proportional to the signal strength. Interpretation: A thick, steep, and vibrant flow indicates powerful, committed momentum in the current volatility regime. The floating '●' particles represent kinetic energy; more particles suggest stronger underlying force. 📐 Homotopy Paths (Layered Transparent Boxes): What it represents: These layered boxes are centered between the two DEVMA lines. Their height is determined by the DEV value. Interpretation: This visualizes the overall "volatility of volatility." Wider boxes indicate a chaotic, unpredictable market. Narrower boxes suggest a more stable, predictable environment. 🧠 Consciousness Field (The Grid): What it represents: This grid provides a historical lookback at the DEV range. Interpretation: It maps the recent "consciousness" or character of the market's volatility. A consistently wide grid suggests a prolonged period of chaos, while a narrowing grid can signal a transition to a more stable state. 📏 Functorial Levels (Projected Horizontal Lines): What it represents: These lines extend from the current fastDEVMA and slowDEVMA values into the future. Interpretation: Think of these as dynamic support and resistance levels for the volatility structure itself. A crossover becomes more significant if it breaks cleanly through a prior established level. 🌊 Flow Boxes (Spaced Out Boxes): What it represents: These are compact visual footprints of the current regime, colored green for Expansion and red for Contraction. Interpretation: They provide a quick, at-a-glance confirmation of the dominant volatility flow, reinforcing the background color. Background Color: This provides an immediate, unmistakable indication of the current volatility regime. Light Green for Expansion and Light Aqua/Blue for Contraction, allowing you to assess the market environment in a split second. 📊 BACKTESTING PERFORMANCE REVIEW & ANALYSIS The following is a factual, transparent review of a backtest conducted using the strategy's default settings on a specific instrument and timeframe. This information is presented for educational purposes to demonstrate how the strategy's mechanics performed over a historical period. It is crucial to understand that these results are historical, apply only to the specific conditions of this test, and are not a guarantee or promise of future performance. Market conditions are dynamic and constantly change. Test Parameters & Conditions To ensure the backtest reflects a degree of real-world conditions, the following parameters were used. The goal is to provide a transparent baseline, not an over-optimized or unrealistic scenario. Instrument: CME E-mini Nasdaq 100 Futures (NQ1!) Timeframe: 5-Minute Chart Backtesting Range: March 24, 2024, to July 09, 2024 Initial Capital: $100,000 Commission: $0.62 per contract (A realistic cost for futures trading). Slippage: 3 ticks per trade (A conservative setting to account for potential price discrepancies between order placement and execution). Trade Size: 1 contract per trade. Performance Overview (Historical Data) The test period generated 465 total trades , providing a statistically significant sample size for analysis, which is well above the recommended minimum of 100 trades for a strategy evaluation. Profit Factor: The historical Profit Factor was 2.663 . This metric represents the gross profit divided by the gross loss. In this test, it indicates that for every dollar lost, $2.663 was gained. Percent Profitable: Across all 465 trades, the strategy had a historical win rate of 84.09% . While a high figure, this is a historical artifact of this specific data set and settings, and should not be the sole basis for future expectations. Risk & Trade Characteristics Beyond the headline numbers, the following metrics provide deeper insight into the strategy's historical behavior. Sortino Ratio (Downside Risk): The Sortino Ratio was 6.828 . Unlike the Sharpe Ratio, this metric only measures the volatility of negative returns. A higher value, such as this one, suggests that during this test period, the strategy was highly efficient at managing downside volatility and large losing trades relative to the profits it generated. Average Trade Duration: A critical characteristic to understand is the strategy's holding period. With an average of only 2 bars per trade , this configuration operates as a very short-term, or scalping-style, system. Winning trades averaged 2 bars, while losing trades averaged 4 bars. This indicates the strategy's logic is designed to capture quick, high-probability moves and exit rapidly, either at a profit target or a stop loss. Conclusion and Final Disclaimer This backtest demonstrates one specific application of the VoVix+ framework. It highlights the strategy's behavior as a short-term system that, in this historical test on NQ1!, exhibited a high win rate and effective management of downside risk. Users are strongly encouraged to conduct their own backtests on different instruments, timeframes, and date ranges to understand how the strategy adapts to varying market structures. Past performance is not indicative of future results, and all trading involves significant risk. 🔧 THE DEVELOPMENT PHILOSOPHY: FROM VOLATILITY TO CLARITY The journey to create VoVix+ began with a simple question: "What drives major market moves?" The answer is often not a change in price direction, but a fundamental shift in market volatility. Standard indicators are reactive to price. We wanted to create a system that was predictive of market state. VoVix+ was designed to go one level deeper—to analyze the behavior, character, and momentum of volatility itself. The challenge was twofold. First, to create a robust mathematical model to quantify these abstract concepts. This led to the multi-layered analysis of ATR differentials and standard deviations. Second, to make this complex data intuitive and actionable. This drove the creation of the "Visual Universe," where abstract mathematical values are translated into geometric shapes, flows, and fields. The adaptive system was intentionally kept simple and transparent, focusing on a single, impactful parameter (time-based exits) to provide performance feedback without becoming an inscrutable "black box." The result is a tool that is both profoundly deep in its analysis and remarkably clear in its presentation. ⚠️ RISK DISCLAIMER AND BEST PRACTICES VoVix+ is an advanced analytical tool, not a guarantee of future profits. All financial markets carry inherent risk. The backtesting results shown by the strategy are historical and do not guarantee future performance. This strategy incorporates realistic commission and slippage settings by default, but market conditions can vary. Always practice sound risk management, use position sizes appropriate for your account equity, and never risk more than you can afford to lose. It is recommended to use this strategy as part of a comprehensive trading plan. This was developed specifically for Futures "The prevailing wisdom is that markets are always right. I take the opposite view. I assume that markets are always wrong. Even if my assumption is occasionally wrong, I use it as a working hypothesis." — George Soros — Dskyz, Trade with insight. Trade with anticipation.
Pine Script® strategy
by DskyzInvestments
20
Aetherium Institutional Market Resonance EngineAetherium Institutional Market Resonance Engine (AIMRE) A Three-Pillar Framework for Decoding Institutional Activity 🎓 THEORETICAL FOUNDATION The Aetherium Institutional Market Resonance Engine (AIMRE) is a multi-faceted analysis system designed to move beyond conventional indicators and decode the market's underlying structure as dictated by institutional capital flow. Its philosophy is built on a singular premise: significant market moves are preceded by a convergence of context , location , and timing . Aetherium quantifies these three dimensions through a revolutionary three-pillar architecture. This system is not a simple combination of indicators; it is an integrated engine where each pillar's analysis feeds into a central logic core. A signal is only generated when all three pillars achieve a state of resonance, indicating a high-probability alignment between market organization, key liquidity levels, and cyclical momentum. ⚡ THE THREE-PILLAR ARCHITECTURE 1. 🌌 PILLAR I: THE COHERENCE ENGINE (THE 'CONTEXT') Purpose: To measure the degree of organization within the market. This pillar answers the question: " Is the market acting with a unified purpose, or is it chaotic and random? " Conceptual Framework: Institutional campaigns (accumulation or distribution) create a non-random, organized market environment. Retail-driven or directionless markets are characterized by "noise" and chaos. The Coherence Engine acts as a filter to ensure we only engage when institutional players are actively steering the market. Formulaic Concept: Coherence = f(Dominance, Synchronization) Dominance Factor: Calculates the absolute difference between smoothed buying pressure (volume-weighted bullish candles) and smoothed selling pressure (volume-weighted bearish candles), normalized by total pressure. A high value signifies a clear winner between buyers and sellers. Synchronization Factor: Measures the correlation between the streams of buying and selling pressure over the analysis window. A high positive correlation indicates synchronized, directional activity, while a negative correlation suggests choppy, conflicting action. The final Coherence score (0-100) represents the percentage of market organization. A high score is a prerequisite for any signal, filtering out unpredictable market conditions. 2. 💎 PILLAR II: HARMONIC LIQUIDITY MATRIX (THE 'LOCATION') Purpose: To identify and map high-impact institutional footprints. This pillar answers the question: " Where have institutions previously committed significant capital? " Conceptual Framework: Large institutional orders leave indelible marks on the market in the form of anomalous volume spikes at specific price levels. These are not random occurrences but are areas of intense historical interest. The Harmonic Liquidity Matrix finds these footprints and consolidates them into actionable support and resistance zones called "Harmonic Nodes." Algorithmic Process: Footprint Identification: The engine scans the historical lookback period for candles where volume > average_volume * Institutional_Volume_Filter. This identifies statistically significant volume events. Node Creation: A raw node is created at the mean price of the identified candle. Dynamic Clustering: The engine uses an ATR-based proximity algorithm. If a new footprint is identified within Node_Clustering_Distance (ATR) of an existing Harmonic Node, it is merged. The node's price is volume-weighted, and its magnitude is increased. This prevents chart clutter and consolidates nearby institutional orders into a single, more significant level. Node Decay: Nodes that are older than the Institutional_Liquidity_Scanback period are automatically removed from the chart, ensuring the analysis remains relevant to recent market dynamics. 3. 🌊 PILLAR III: CYCLICAL RESONANCE MATRIX (THE 'TIMING') Purpose: To identify the market's dominant rhythm and its current phase. This pillar answers the question: " Is the market's immediate energy flowing up or down? " Conceptual Framework: Markets move in waves and cycles of varying lengths. Trading in harmony with the current cyclical phase dramatically increases the probability of success. Aetherium employs a simplified wavelet analysis concept to decompose price action into short, medium, and long-term cycles. Algorithmic Process: Cycle Decomposition: The engine calculates three oscillators based on the difference between pairs of Exponential Moving Averages (e.g., EMA8-EMA13 for short cycle, EMA21-EMA34 for medium cycle). Energy Measurement: The 'energy' of each cycle is determined by its recent volatility (standard deviation). The cycle with the highest energy is designated as the "Dominant Cycle." Phase Analysis: The engine determines if the dominant cycles are in a bullish phase (rising from a trough) or a bearish phase (falling from a peak). Cycle Sync: The highest conviction timing signals occur when multiple cycles (e.g., short and medium) are synchronized in the same direction, indicating broad-based momentum. 🔧 COMPREHENSIVE INPUT SYSTEM Pillar I: Market Coherence Engine Coherence Analysis Window (10-50, Default: 21): The lookback period for the Coherence Engine. Lower Values (10-15): Highly responsive to rapid shifts in market control. Ideal for scalping but can be sensitive to noise. Balanced (20-30): Excellent for day trading, capturing the ebb and flow of institutional sessions. Higher Values (35-50): Smoother, more stable reading. Best for swing trading and identifying long-term institutional campaigns. Coherence Activation Level (50-90%, Default: 70%): The minimum market organization required to enable signal generation. Strict (80-90%): Only allows signals in extremely clear, powerful trends. Fewer, but potentially higher quality signals. Standard (65-75%): A robust filter that effectively removes choppy conditions while capturing most valid institutional moves. Lenient (50-60%): Allows signals in less-organized markets. Can be useful in ranging markets but may increase false signals. Pillar II: Harmonic Liquidity Matrix Institutional Liquidity Scanback (100-400, Default: 200): How far back the engine looks for institutional footprints. Short (100-150): Focuses on recent institutional activity, providing highly relevant, immediate levels. Long (300-400): Identifies major, long-term structural levels. These nodes are often extremely powerful but may be less frequent. Institutional Volume Filter (1.3-3.0, Default: 1.8): The multiplier for detecting a volume spike. High (2.5-3.0): Only registers climactic, undeniable institutional volume. Fewer, but more significant nodes. Low (1.3-1.7): More sensitive, identifying smaller but still relevant institutional interest. Node Clustering Distance (0.2-0.8 ATR, Default: 0.4): The ATR-based distance for merging nearby nodes. High (0.6-0.8): Creates wider, more consolidated zones of liquidity. Low (0.2-0.3): Creates more numerous, precise, and distinct levels. Pillar III: Cyclical Resonance Matrix Cycle Resonance Analysis (30-100, Default: 50): The lookback for determining cycle energy and dominance. Short (30-40): Tunes the engine to faster, shorter-term market rhythms. Best for scalping. Long (70-100): Aligns the timing component with the larger primary trend. Best for swing trading. Institutional Signal Architecture Signal Quality Mode (Professional, Elite, Supreme): Controls the strictness of the three-pillar confluence. Professional: Loosest setting. May generate signals if two of the three pillars are in strong alignment. Increases signal frequency. Elite: Balanced setting. Requires a clear, unambiguous resonance of all three pillars. The recommended default. Supreme: Most stringent. Requires perfect alignment of all three pillars, with each pillar exhibiting exceptionally strong readings (e.g., coherence > 85%). The highest conviction signals. Signal Spacing Control (5-25, Default: 10): The minimum bars between signals to prevent clutter and redundant alerts. 🎨 ADVANCED VISUAL SYSTEM The visual architecture of Aetherium is designed not merely for aesthetics, but to provide an intuitive, at-a-glance understanding of the complex data being processed. Harmonic Liquidity Nodes: The core visual element. Displayed as multi-layered, semi-transparent horizontal boxes. Magnitude Visualization: The height and opacity of a node's "glow" are proportional to its volume magnitude. More significant nodes appear brighter and larger, instantly drawing the eye to key levels. Color Coding: Standard nodes are blue/purple, while exceptionally high-magnitude nodes are highlighted in an accent color to denote critical importance. 🌌 Quantum Resonance Field: A dynamic background gradient that visualizes the overall market environment. Color: Shifts from cool blues/purples (low coherence) to energetic greens/cyans (high coherence and organization), providing instant context. Intensity: The brightness and opacity of the field are influenced by total market energy (a composite of coherence, momentum, and volume), making powerful market states visually apparent. 💎 Crystalline Lattice Matrix: A geometric web of lines projected from a central moving average. Mathematical Basis: Levels are projected using multiples of the Golden Ratio (Phi ≈ 1.618) and the ATR. This visualizes the natural harmonic and fractal structure of the market. It is not arbitrary but is based on mathematical principles of market geometry. 🧠 Synaptic Flow Network: A dynamic particle system visualizing the engine's "thought process." Node Density & Activation: The number of particles and their brightness/color are tied directly to the Market Coherence score. In high-coherence states, the network becomes a dense, bright, and organized web. In chaotic states, it becomes sparse and dim. ⚡ Institutional Energy Waves: Flowing sine waves that visualize market volatility and rhythm. Amplitude & Speed: The height and speed of the waves are directly influenced by the ATR and volume, providing a feel for market energy. 📊 INSTITUTIONAL CONTROL MATRIX (DASHBOARD) The dashboard is the central command console, providing a real-time, quantitative summary of each pillar's status. Header: Displays the script title and version. Coherence Engine Section: State: Displays a qualitative assessment of market organization: ◉ PHASE LOCK (High Coherence), ◎ ORGANIZING (Moderate Coherence), or ○ CHAOTIC (Low Coherence). Color-coded for immediate recognition. Power: Shows the precise Coherence percentage and a directional arrow (↗ or ↘) indicating if organization is increasing or decreasing. Liquidity Matrix Section: Nodes: Displays the total number of active Harmonic Liquidity Nodes currently being tracked. Target: Shows the price level of the nearest significant Harmonic Node to the current price, representing the most immediate institutional level of interest. Cycle Matrix Section: Cycle: Identifies the currently dominant market cycle (e.g., "MID ") based on cycle energy. Sync: Indicates the alignment of the cyclical forces: ▲ BULLISH , ▼ BEARISH , or ◆ DIVERGENT . This is the core timing confirmation. Signal Status Section: A unified status bar that provides the final verdict of the engine. It will display "QUANTUM SCAN" during neutral periods, or announce the tier and direction of an active signal (e.g., "◉ TIER 1 BUY ◉" ), highlighted with the appropriate color. 🎯 SIGNAL GENERATION LOGIC Aetherium's signal logic is built on the principle of strict, non-negotiable confluence. Condition 1: Context (Coherence Filter): The Market Coherence must be above the Coherence Activation Level. No signals can be generated in a chaotic market. Condition 2: Location (Liquidity Node Interaction): Price must be actively interacting with a significant Harmonic Liquidity Node. For a Buy Signal: Price must be rejecting the Node from below (testing it as support). For a Sell Signal: Price must be rejecting the Node from above (testing it as resistance). Condition 3: Timing (Cycle Alignment): The Cyclical Resonance Matrix must confirm that the dominant cycles are synchronized with the intended trade direction. Signal Tiering: The Signal Quality Mode input determines how strictly these three conditions must be met. 'Supreme' mode, for example, might require not only that the conditions are met, but that the Market Coherence is exceptionally high and the interaction with the Node is accompanied by a significant volume spike. Signal Spacing: A final filter ensures that signals are spaced by a minimum number of bars, preventing over-alerting in a single move. 🚀 ADVANCED TRADING STRATEGIES The Primary Confluence Strategy: The intended use of the system. Wait for a Tier 1 (Elite/Supreme) or Tier 2 (Professional/Elite) signal to appear on the chart. This represents the alignment of all three pillars. Enter after the signal bar closes, with a stop-loss placed logically on the other side of the Harmonic Node that triggered the signal. The Coherence Context Strategy: Use the Coherence Engine as a standalone market filter. When Coherence is high (>70%), favor trend-following strategies. When Coherence is low (<50%), avoid new directional trades or favor range-bound strategies. A sharp drop in Coherence during a trend can be an early warning of a trend's exhaustion. Node-to-Node Trading: In a high-coherence environment, use the Harmonic Liquidity Nodes as both entry points and profit targets. For example, after a BUY signal is generated at one Node, the next Node above it becomes a logical first profit target. ⚖️ RESPONSIBLE USAGE AND LIMITATIONS Decision Support, Not a Crystal Ball: Aetherium is an advanced decision-support tool. It is designed to identify high-probability conditions based on a model of institutional behavior. It does not predict the future. Risk Management is Paramount: No indicator can replace a sound risk management plan. Always use appropriate position sizing and stop-losses. The signals provided are probabilistic, not certainties. Past Performance Disclaimer: The market models used in this script are based on historical data. While robust, there is no guarantee that these patterns will persist in the future. Market conditions can and do change. Not a "Set and Forget" System: The indicator performs best when its user understands the concepts behind the three pillars. Use the dashboard and visual cues to build a comprehensive view of the market before acting on a signal. Backtesting is Essential: Before applying this tool to live trading, it is crucial to backtest and forward-test it on your preferred instruments and timeframes to understand its unique behavior and characteristics. 🔮 CONCLUSION The Aetherium Institutional Market Resonance Engine represents a paradigm shift from single-variable analysis to a holistic, multi-pillar framework. By quantifying the abstract concepts of market context, location, and timing into a unified, logical system, it provides traders with an unprecedented lens into the mechanics of institutional market operations. It is not merely an indicator, but a complete analytical engine designed to foster a deeper understanding of market dynamics. By focusing on the core principles of institutional order flow, Aetherium empowers traders to filter out market noise, identify key structural levels, and time their entries in harmony with the market's underlying rhythm. "In all chaos there is a cosmos, in all disorder a secret order." - Carl Jung — Dskyz, Trade with insight. Trade with confluence. Trade with Aetherium.
Pine Script® indicator
by DskyzInvestments
18
Adjustable Vertical LinesThe script provides an indicator which will plot lines - 15 min, 30 min and 60 min. You can customize the time intervals and go to as low as one minute, but I found the 15-minute and 30-minute intervals works best for me when trying to find setups, and the lower time-frame intervals, is just pointless to use if you're not scalping on the seconds timeframe. You can customize inputs for the line style. Line thickness, colour, etc. I've seen this work using the OBR theory and applying it to the one-minute candle then looking for other confluences like order blocks, or breakers, FVGs, BOS/CHoC for further confirmation for scalping. It's important to backtest though and see for yourself. Thanks for the boost.
Pine Script® indicator
by kocointradaytrading
5
Candle Count RSI📈 Candle Count RSI — A Dual-Perspective Momentum Engine The Candle Count RSI is a custom-built momentum oscillator that expands on the classic Relative Strength Index (RSI) by introducing a directional-only variant that tracks the frequency of bullish or bearish closes, rather than price magnitude. It gives traders a second lens through which to evaluate momentum, trend conviction, and subtle divergences—often invisible to traditional price-based RSI. 💡 What Makes It Unique? While the standard RSI is sensitive to the size of price changes, the Candle Count RSI is magnitude-blind. It counts candle closes above/below open over a lookback period, generating a purer signal of directional consistency. To enhance signal fidelity, it includes a streak amplifier, dynamically weighting extended runs of green or red candles to reflect intensity of market bias—without introducing artificial price sensitivity. This dual-RSI approach allows for: - Divergence detection between directional bias and price magnitude. - Smoother trend confirmation in choppy markets. - Cleaner visual cues using dynamic glow and background logic. 📐 How Standard RSI Actually Works (Not What You Think) RSI doesn’t just check if price went up or down over a span—it checks each individual candle and tracks whether it closed higher or lower than the one before. Here's how it works under the hood: 1.) For each bar, it calculates the change from the previous close. 2.) It separates those changes into gains (upward moves) and losses (downward moves). 3.) Then it computes a smoothed average of those gains and losses (usually using an RMA). 4.) It calculates the Relative Strength (RS) as: RS = AvgGain / AvgLoss 5.) Finally, it plugs that into the RSI formula: RSI = 100 - (100 / (1 + RS)) ⚖️ What Does the 50 Line Mean? - The RSI scale runs from 0 to 100, but 50 is the true neutral zone: - RSI > 50 means average gains outweigh average losses over the period. - RSI < 50 means losses dominate. - RSI ≈ 50? The market is balanced—momentum is indecisive, no clear trend bias. - This makes 50 a powerful midline for trend filters, directional bias tools, and divergence detection—especially when paired with alternative RSI logic like Candle Count RSI. 🔧 Inputs and Customization - Everything is fully modular and customizable: 🧠 Core Settings - RSI Length: Used for both the standard RSI and Candle Count RSI. 📉 Standard RSI - Classic RSI calculation based on price changes. - Optional WMA smoothing to reduce noise. - Glow effect toggle with custom intensity. 🕯 Candle Count RSI - Computes RSI using only the count of up/down candles. - Optional smoothing for stability. - Amplifies streaks (e.g., multiple consecutive bullish candles increase strength). - Glow effect toggle with adjustable strength. 🎇 Glow Visuals - Background glow (subpane and/or main chart). - Fades based on RSI distance from the 50 midpoint. - Independent color settings for bull and bear bias. 🧬 Divergence Zones - Detects when Candle RSI and Standard RSI diverge. - Highlights: - Bullish Divergence: Candle RSI > 50, Standard RSI < threshold. - Bearish Divergence: Candle RSI < 50, Standard RSI > threshold. - Background fill optionally shown in subpane and/or main chart. 📊 Directional Histogram - MACD-style histogram showing the difference between the two RSI lines. - Color-coded based on directional agreement: - Both rising → green. - Both falling → red. - Conflict → yellow. 🧠 Under the Hood — How It Works 🔹 Standard RSI - Classic ta.rsi() applied to close prices, optionally WMA-smoothed. 🔹 Candle Count RSI (CCR) - Counts how many candles closed up/down over the period. - Computes a magnitude-free RSI from these counts. - Applies a streak-based multiplier to exaggerate trend strength during consecutive green/red runs. - Optionally smoothed with WMA to create a clean signal line. - This makes CCR ideal for detecting true directional bias without being faked out by volatile price spikes. 🔹 Divergence Logic - When Candle RSI and Standard RSI disagree strongly across defined thresholds, background fills highlight early signs of momentum decay or hidden accumulation/distribution. 🔹 Glow Logic - Glow zones are controlled by a master toggle and drawn with dynamic transparency: - Further from 50 = stronger conviction = darker glow. - Shows up in subpane and/or main chart depending on user preference. 📷 Suggested Use Case / Visual Setup - Use in conjunction with your primary price action system. - Watch for divergences between the Candle Count RSI and Standard RSI for early trend reversals. - Use glow bias zones on the main chart to get subconscious directional cues during fast scalping. - Histogram helps you confirm when both RSI variants agree—useful during strong trending conditions. 🛠️ Tip for Traders - This tool isn’t trying to “predict” price. It’s designed to visualize hidden market psychology—when buyers are showing up with consistent pressure, or when momentum has a disconnect between conviction and magnitude. Use this to filter entries, spot weak rallies, or sense when a trend is about to break down. ⚠️ WARNING - Not for use with Heikin Ashi, Renko, etc.). 🧠 Summary Candle Count RSI is not just another mashup—it's a precision-built, dual-perspective oscillator that captures directional conviction using real candle behavior. Whether you're scalping intraday or swing trading momentum, this script helps clarify trend integrity and exposes hidden weaknesses with elegance and clarity. — 🛠️ Built by: Sherlock_MacGyver Feel free to share feedback or reach out if you'd like to collaborate on custom features.
Pine Script® indicator
by Sherlock_MacGyver
1
Liquidity Volume Panel Liquidity Volume Panel – Precision Tool for Scalpers & Intraday Traders This panel is designed to help traders quickly identify volume-driven moves, liquidity events, and fair-value zones. It combines classic volume analysis with enhanced tools like RVOL and VWAP deviation bands, making it ideal for scalping, momentum trading, and intraday strategies. 🔍 Included Features: ✅ Relative Volume (RVOL) Indicator Displays current volume in relation to its 20-period average – excellent for spotting low-activity zones or high-pressure breakouts. ✅ Dynamic Volume Coloring & Spike Detection Color-coded volume logic highlights normal, strong, and extremely high volume, with visual markers for volume spikes (>200% of average). ✅ VWAP with ±1σ & ±2σ Bands Industry-standard deviation bands show overbought/oversold conditions and dynamic support/resistance based on volume-weighted pricing. ✅ Background Highlighting Subtle orange background alerts you when volume surges beyond extreme levels – making liquidity clusters instantly recognizable. Usage: Use this panel as a decision-making tool for entries, reversals, or breakouts – especially in fast-moving markets. Best used on lower timeframes for precision scalping.
Pine Script® indicator
by Mathias81
Pivot S/R with Volatility Filter## *📌 Indicator Purpose* This indicator identifies *key support/resistance levels* using pivot points while also: ✅ Detecting *high-volume liquidity traps* (stop hunts) ✅ Filtering insignificant pivots via *ATR (Average True Range) volatility* ✅ Tracking *test counts and breakouts* to measure level strength --- ## *⚙ SETTINGS – Detailed Breakdown* ### *1️⃣ ◆ General Settings* #### *🔹 Pivot Length* - *Purpose:* Determines how many bars to analyze when identifying pivots. - *Usage:* - *Low values (5-20):* More pivots, better for scalping. - *High values (50-200):* Fewer but stronger levels for swing trading. - *Example:* - Pivot Length = 50 → Only the most significant highs/lows over 50 bars are marked. #### *🔹 Test Threshold (Max Test Count)* - *Purpose:* Sets how many times a level can be tested before being invalidated. - *Example:* - Test Threshold = 3 → After 3 tests, the level is ignored (likely to break). #### *🔹 Zone Range* - *Purpose:* Creates a price buffer around pivots (±0.001 by default). - *Why?* Markets often respect "zones" rather than exact prices. --- ### *2️⃣ ◆ Volatility Filter (ATR)* #### *🔹 ATR Period* - *Purpose:* Smoothing period for Average True Range calculation. - *Default:* 14 (standard for volatility measurement). #### *🔹 ATR Multiplier (Min Move)* - *Purpose:* Requires pivots to show *meaningful price movement*. - *Formula:* Min Move = ATR × Multiplier - *Example:* - ATR = 10 pips, Multiplier = 1.5 → Only pivots with *15+ pip swings* are valid. #### *🔹 Show ATR Filter Info* - Displays current ATR and minimum move requirements on the chart. --- ### *3️⃣ ◆ Volume Analysis* #### *🔹 Volume Change Threshold (%)* - *Purpose:* Filters for *unusual volume spikes* (institutional activity). - *Example:* - Threshold = 1.2 → Requires *120% of average volume* to confirm signals. #### *🔹 Volume MA Period* - *Purpose:* Lookback period for "normal" volume calculation. --- ### *4️⃣ ◆ Wick Analysis* #### *🔹 Wick Length Threshold (Ratio)* - *Purpose:* Ensures rejection candles have *long wicks* (strong reversals). - *Formula:* Wick Ratio = (Upper Wick + Lower Wick) / Candle Range - *Example:* - Threshold = 0.6 → 60% of the candle must be wicks. #### *🔹 Min Wick Size (ATR %)* - *Purpose:* Filters out small wicks in volatile markets. - *Example:* - ATR = 20 pips, MinWickSize = 1% → Wicks under *0.2 pips* are ignored. --- ### *5️⃣ ◆ Display Settings* - *Show Zones:* Toggles support/resistance shaded areas. - *Show Traps:* Highlights liquidity traps (▲/▼ symbols). - *Show Tests:* Displays how many times levels were tested. - *Zone Transparency:* Adjusts opacity of zones. --- ## *🎯 Practical Use Cases* ### *1️⃣ Liquidity Trap Detection* - *Scenario:* Price spikes *above resistance* then reverses sharply. - *Requirements:* - Long wick (Wick Ratio > 0.6) - High volume (Volume > Threshold) - *Outcome:* *Short Trap* signal (▼) appears. ### *2️⃣ Strong Support Level* - *Scenario:* Price bounces *3 times* from the same level. - *Indicator Action:* - Labels the level with test count (3/5 = 3 tests out of max 5). - Turns *red* if broken (Break Count > 0). Deep Dive: How This Indicator Works* This indicator combines *four professional trading concepts* into one powerful tool: 1. *Classic Pivot Point Theory* - Identifies swing highs/lows where price previously reversed - Unlike basic pivot indicators, ours uses *confirmed pivots only* (filtered by ATR) 2. *Volume-Weighted Validation* - Requires unusual trading volume to confirm levels - Filters out "phantom" levels with low participation 3. *ATR Volatility Filtering* - Eliminates insignificant price swings in choppy markets - Ensures only meaningful levels are plotted 4. *Liquidity Trap Detection* - Spots institutional stop hunts where markets fake out traders - Uses wick analysis + volume spikes for high-probability signals --- Deep Dive: How This Indicator Works* This indicator combines *four professional trading concepts* into one powerful tool: 1. *Classic Pivot Point Theory* - Identifies swing highs/lows where price previously reversed - Unlike basic pivot indicators, ours uses *confirmed pivots only* (filtered by ATR) 2. *Volume-Weighted Validation* - Requires unusual trading volume to confirm levels - Filters out "phantom" levels with low participation 3. *ATR Volatility Filtering* - Eliminates insignificant price swings in choppy markets - Ensures only meaningful levels are plotted 4. *Liquidity Trap Detection* - Spots institutional stop hunts where markets fake out traders - Uses wick analysis + volume spikes for high-probability signals --- ## *📊 Parameter Encyclopedia (Expanded)* ### *1️⃣ Pivot Engine Settings* #### *Pivot Length (50)* - *What It Does:* Determines how many bars to analyze when searching for swing highs/lows. - *Professional Adjustment Guide:* | Trading Style | Recommended Value | Why? | |--------------|------------------|------| | Scalping | 10-20 | Captures short-term levels | | Day Trading | 30-50 | Balanced approach | | Swing Trading| 50-200 | Focuses on major levels | - *Real Market Example:* On NASDAQ 5-minute chart: - Length=20: Identifies levels holding for ~2 hours - Length=50: Finds levels respected for entire trading day #### *Test Threshold (5)* - *Advanced Insight:* Institutions often test levels 3-5 times before breaking them. This setting mimics the "probe and push" strategy used by smart money. - *Psychology Behind It:* Retail traders typically give up after 2-3 tests, while institutions keep testing until stops are run. --- ### *2️⃣ Volatility Filter System* #### *ATR Multiplier (1.0)* - *Professional Formula:* Minimum Valid Swing = ATR(14) × Multiplier - *Market-Specific Recommendations:* | Market Type | Optimal Multiplier | |------------------|--------------------| | Forex Majors | 0.8-1.2 | | Crypto (BTC/ETH) | 1.5-2.5 | | SP500 Stocks | 1.0-1.5 | - *Why It Matters:* In EUR/USD (ATR=10 pips): - Multiplier=1.0 → Requires 10 pip swings - Multiplier=1.5 → Requires 15 pip swings (fewer but higher quality levels) --- ### *3️⃣ Volume Confirmation System* #### *Volume Threshold (1.2)* - *Institutional Benchmark:* - 1.2x = Moderate institutional interest - 1.5x+ = Strong smart money activity - *Volume Spike Case Study:* *Before Apple Earnings:* - Normal volume: 2M shares - Spike threshold (1.2): 2.4M shares - Actual volume: 3.1M shares → STRONG confirmation --- ### *4️⃣ Liquidity Trap Detection* #### *Wick Analysis System* - *Two-Filter Verification:* 1. *Wick Ratio (0.6):* - Ensures majority of candle shows rejection - Formula: (UpperWick + LowerWick) / Total Range > 0.6 2. *Min Wick Size (1% ATR):* - Prevents false signals in flat markets - Example: ATR=20 pips → Min wick=0.2 pips - *Trap Identification Flowchart:* Price Enters Zone → Spikes Beyond Level → Shows Long Wick → Volume > Threshold → TRAP CONFIRMED --- ## *💡 Master-Level Usage Techniques* ### *Institutional Order Flow Analysis* 1. *Step 1:* Identify pivot levels with ≥3 tests 2. *Step 2:* Watch for volume contraction near levels 3. *Step 3:* Enter when trap signal appears with: - Wick > 2×ATR - Volume > 1.5× average ### *Multi-Timeframe Confirmation* 1. *Higher TF:* Find weekly/monthly pivots 2. *Lower TF:* Use this indicator for precise entries 3. *Example:* - Weekly pivot at $180 - 4H shows liquidity trap → High-probability reversal --- ## *⚠ Critical Mistakes to Avoid* 1. *Using Default Settings Everywhere* - Crude oil needs higher ATR multiplier than bonds 2. *Ignoring Trap Context* - Traps work best at: - All-time highs/lows - Major psychological numbers (00/50 levels) 3. *Overlooking Cumulative Volume* - Check if volume is building over multiple tests
Pine Script® indicator
by doganayy2
Standard Deviation SMA RSI | mad_tiger_slayerOverview of the Script The Standard Deviation SMA RSI is a custom TradingView indicator that enhances the Relative Strength Index (RSI) by incorporating a Simple Moving Average (SMA) and Standard Deviation bands . This approach smooths RSI calculations while factoring in volatility to provide clearer trend signals . Additionally, the indicator includes overbought and oversold thresholds, trend-coded RSI signals , and dynamic volatility bands for improved market analysis. This indicator is designed for swing traders and long-term investors looking to capture high-probability trend shifts. How Do Traders Use the Standard Deviation SMA RSI? In the provided chart image, the indicator is displayed on a price chart. Each visual component serves a distinct function in identifying trend conditions and volatility levels . INTENDED USES ⚠️ NOT INTENDED FOR SCALPING With the smoothing nature of the SMA-based RSI , this indicator is not designed for low-timeframe scalping. It works best on timeframes above 1-hour , with optimal performance in 12-hour, daily, and higher timeframes. 📈 TREND-FOLLOWING & MEAN REVERSION The Standard Deviation SMA RSI functions as both a trend-following and mean-reverting indicator: Trend-Following: Identifies strong, sustained trends using RSI signals and SMA confirmation. Mean Reversion: Detects overbought/oversold conditions based on standard deviation bands and RSI thresholds . A VISUAL REPRESENTATION OF INTENDED USES RSI Line (Green/Pink/Gray): The RSI line dynamically changes color based on trend conditions . Green RSI → Strong uptrend, RSI above the uptrend threshold. Pink RSI → Downtrend, RSI below the downtrend threshold. Gray RSI → Neutral state or consolidation. If the SMA of RSI is above Long Threshold , the market is in a bullish trend. If it’s below Short Threshold, bearish conditions prevail. Threshold Lines (Teal/Purple): Green Line → Long Entry Threshold Red Line → Short Entry Threshold Standard Deviation Bands: Upper Band → Measures bullish volatility expansion Lower Band → Measures bearish volatility expansion Colored Candles: Price candles adjust color based on RSI conditions , visually aligning price action with market trends. Indicator's Primary Elements Input Parameters The script includes several configurable settings, allowing users to tailor the indicator to different market environments: RSI Length: Controls the number of periods for RSI calculations. SMA Length: Defines the period for the SMA applied to RSI , creating a smoothed trend line. Standard Deviation Period: Determines the length for volatility calculations. Overbought and Oversold Levels: Can be adjusted to customize sensitivity. Standard Deviation SMA RSI Calculation The SMA-based RSI smooths fluctuations while the standard deviation bands measure price volatility. Upper and Lower Bands: Calculated by adding/subtracting standard deviation to/from the SMA-based RSI. Trend Signal Calculation: RSI is compared to uptrend and downtrend thresholds to determine buy/sell conditions. Long and Short Conditions Buy and sell conditions are determined by RSI relative to key thresholds : Bullish Signal: RSI above long threshold & SMA confirms trend . Bearish Signal: RSI below short threshold & SMA confirms downtrend . Reversals: RSI entering overbought/oversold areas suggests possible trend reversals. Conclusion The Standard Deviation SMA RSI is a powerful trend-following and mean-reverting tool , offering enhanced insights into RSI movements, volatility, and market strength . By combining SMA smoothing, standard deviation bands, and dynamic thresholds , traders can better identify trend confirmations, reversals, and overextended conditions . ✅ Customizable settings allow traders to optimize sensitivity. ✅ Works best on high timeframes (12H, Daily, Weekly). ✅ Ideal for swing traders and long-term investors.
Pine Script® indicator
by QuantLapse
CVD Oscillator - Short Term SwiftEdgeOverview The CVD Oscillator - Short Term is a technical indicator designed to assist traders in identifying short-term buying and selling pressure in the market. It calculates the Cumulative Volume Delta (CVD) to measure the net volume difference between buying and selling activity, displayed as an oscillator in a separate panel. This indicator is tailored for short-term trading strategies, such as scalping or day trading, on low timeframes (e.g., 1-minute, 5-minute, or 15-minute charts). How It Works Cumulative Volume Delta (CVD): The indicator calculates CVD by assigning volume to buyers (when close > open) or sellers (when close < open). If close = open, the volume is neutral. Short-Term Focus: The CVD is calculated over a user-defined lookback period (default: 10 candles), making it sensitive to recent market activity. Normalization: The raw CVD is normalized by dividing it by the average volume (over a short period, default: 5 candles) and scaled to fit within a range of -100 to +100, creating an oscillator-like behavior. Reset Options: Users can reset the CVD at specific intervals (e.g., every minute, 5 minutes, 15 minutes, or daily) to focus on intraday movements. Live CVD Value: The raw (unnormalized) CVD value is displayed as a label on each candle for real-time monitoring. Key Features Customizable Lookback Period: Adjust the number of recent candles (default: 10) to calculate CVD, allowing for precise short-term analysis. Flexible Reset Periods: Choose to reset the CVD every 1 minute, 5 minutes, 15 minutes, daily, or never, to suit your trading style. Normalized Oscillator: The CVD is scaled between -100 and +100, making it easier to visualize short-term momentum. Live CVD Labels: Displays the raw CVD value on each candle, with options to position the label above or below the oscillator line. How to Use Add to Chart: Apply the indicator to your chart on a low timeframe (e.g., 1m, 5m, or 15m) for short-term trading. Interpret the Oscillator: Above 0 (Green): Indicates buying pressure dominates. Below 0 (Red): Indicates selling pressure dominates. Near 0: Suggests neutral market conditions. Monitor Live CVD: Use the raw CVD value (shown in the label) to assess the exact net volume difference over the lookback period. Combine with Other Tools: Use the oscillator alongside price action, support/resistance levels, or other indicators to confirm trading decisions. Adjust Settings: CVD Lookback Period: Set to a small value (e.g., 5-20 candles) for scalping. CVD Reset Period: Choose "1m" or "5m" for intraday resets to focus on very short-term trends. Volume Average Length: Use a short length (e.g., 3-5) for faster responsiveness. Scale Factor: Increase (e.g., 2.0-3.0) to amplify small changes in CVD. Settings CVD Reset Period: Defines when to reset the CVD calculation ("None", "D" for daily, "15m", "5m", "1m"). CVD Lookback Period (Candles): Number of recent candles to calculate CVD (default: 10). Volume Average Length: Period for averaging volume to normalize CVD (default: 5). CVD Scale Factor: Adjusts the sensitivity of the normalized CVD (default: 2.0). CVD Label Position: Choose to display the raw CVD label above or below the oscillator line. CVD Label Color: Customize the color of the CVD label (default: white). Limitations Not a Standalone Tool: This indicator should be used in conjunction with other technical analysis tools, as it does not guarantee profitable trades. Volume Dependency: The accuracy of CVD relies on the quality of volume data provided by your broker or exchange. Short-Term Focus: The indicator is optimized for low timeframes and may produce noise on higher timeframes unless adjusted. No Predictive Claims: The CVD Oscillator reflects past and current market activity but does not predict future price movements. Notes This indicator is designed for informational purposes and does not constitute financial advice. Trading involves risk, and past performance is not indicative of future results. Test the indicator on a demo account to understand its behavior before using it in live trading. Feedback is welcome! If you have suggestions for improvements, feel free to share them in the comments.
Pine Script® indicator
by SwiftEdge
Reversal rehersal v1This indicator was designed to identify potential market reversal zones using a combination of RSI thresholds (shooting range/falling range), candlestick patterns, and Fair Value Gaps (FVGs). By combining all these elements into one indicator, it allow for outputting high probability buy/sell signals for use by scalpers on low timeframes like 1-15 mins, for quick but small profits. Note: that this has been mainly tested on DE40 index on the 1 min timeframe, and need to be adjusted to whichever timeframe and symbol you intend to use. Refer to the backtester feature for checking if this indicator may work for you. The indicator use RSI ranges from two timeframes to highlight where momentum is building up. During these areas, it will look for certain candlestick patterns (Sweeps as the primary one) and check for existance of fair value gaps to further enhance the hitrate of the signal. The logic for FVG detection was based on ©pmk07's work with MTF FVG tiny indicator. Several major changes was implemented though and incorporated into this indicator. Among these are: Automatically adjustments of FVG boxes when mitigated partially and options to extend/cull boxes for performance and clarity. Backtesting Table (Experimental): This indicator also features an optional simplified table to review historical theoretical performance of signals, including win rate, profit/loss, and trade statistics. This does not take commision or slippage into consideration. Usage Notes: Setup: 1. Add the indicator to your chart. 2. Decide if you want to use Long or Short (or both). 3. If you're scalping on ie. 1 min time frame, make sure to set FVG's to higher timeframes (ie. 5, 15, 60). 4. Enable the 'Show backtest results' and adjust the 'Signals' og 'Take profit' and 'Stop loss' values until you are satisfied with the results. Use: 1. Setup an alert based on either of the 'BullishShooting range' or 'BearishFalling range' alerts. This will draw your attention to watch for the possible setups. 2. Verify if there's a significant imbalance prior to the signal before taking the trade. Otherwise this may invalidate the setup. 3. Once a signal is shown on the graph (either Green arrow up for buys/Red arrow down for sells) - you should enter a trade with the given 'Take profit' and 'Stop loss' values. 4. (optional) Setup an alert for either the Strong/Weak signals. Which corresponds to when one of the arrows are printed. Important: This is the way I use it myself, but use at own risk and remember to combine with other indicators for further confluence. Remember this is no crystal ball and I do not guarantee profitable results. The indicator merely show signals with high probability setups for scalping.
Pine Script® indicator
by Jomse
9
Flashtrader´s Statistical BandwidthsThe vast majority of traders exclusively concern themselves with trend-following in all its facets. Scoring points with trends on a regular basis is a difficult task since prices do not constantly move in one direction or another. In the case of the DAX future, for example, only about 30 per cent of all trading days in a year are trend days. And of these, there are x percent long ones and x per cent short ones. Catching the very days when prices rise or fall from the opening to the close is a major challenge for a trader who also needs to have previously recognised the corresponding direction. However, there are also other ways of profit-taking every day – for example, by using the mean reversion strategy. The idea behind this is the fact that prices reach a high and a low every day – but very rarely close at the high or the low. This means that prices always move away from these extreme points and the closing price is somewhere in between. A profitable trading strategy can be developed out of this. But how can you know where the high and the low will be tomorrow? Is it possible for you to know this in advance? No – because no one can predict the future. Or can they? At least it can be statistically determined how high or low prices could go tomorrow. There is a high degree of probability that one of the two possibilities will materialise. It will then be necessary to act. Calculation Classic pivot points for the following day are calculated from the high, low and closing price. But does it really make sense to use such a mix? I don’t think so and use a different calculation for this strategy. In a first step, only the differences between the start and the high or low are calculated on a daily basis. To avoid being dependent on individual days and outliers, it is advisable to calculate, in a second step, the average of these differences over the past five days. Finally, this average will then be added at the opening price of the current trading day for the upper statistical bandwidth and subtracted for the lower bandwidth. upper bandwidth = oSTB (violet dashed line in the chart) lower bandwidth = uSTB (violet dashedline in the chart) The second interesting question is, if the previous day's high has been exceeded, how much further can the price rise from a mathematical/statistical point of view? These calculated previous day highs expansions are shown as red dashed lines Previous day's high expansion = VTHA Previous day's low expansion = VTTA For further orientation, the previous day's high (VTH) and the previous day's low (VTT) are shown in light blue dashed lines And as a supplement, the previous day's close in the DAX Future at 10:00 p.m. VTSA in violet solid lines and the previous day's close in the cash register at 5:30 p.m. VTSN in yellow solid lines Reaching the calculated extreme values ​​does not mean that the trend has to change immediately, but there is at least temporary exhaustion potential with which you can earn a few points every day in the area of ​​scalping. Example for cheap entry long: Example for cheap entry short: Deutsch: Die Masse der Trader beschäftigt sich ausschließlich mit Trendfolge in all ihren Facetten. Mit Trends regelmäßig zu punkten ist ein schwieriges Unterfangen, da die Kurse nicht ständig in die eine oder andere Richtung laufen. Beim DAX-Future zum Beispiel sind von allen Börsentagen im Jahr lediglich zirka 30 Prozent Trendtage. Davon sind dann auch noch x Prozent Long und x Prozent Short. Hier genau die Tage abzupassen, an denen die Kurse von Börsenbeginn bis zum Schluss steigen beziehungsweise fallen, ist eine große Herausforderung – wobei der Trader zuvor noch die entsprechende Richtung erkannt haben muss. Es gibt jedoch auch noch andere Methoden täglich Gewinne mitzunehmen, zum Beispiel mit der Mean-Reversion-Strategie (Mittelwertumkehr). Hintergrund ist die Tatsache, dass die Kurse jeden Tag ein Hoch und ein Tief erreichen – aber sehr selten am Hoch oder am Tief schließen. Das bedeutet, dass die Preise sich immer wie der von diesen Extrempunkten wegbewegen und der Schlusskurs irgendwo dazwischen liegt. Hieraus lässt sich eine profitable Handelsstrategie entwickeln. Aber woher kannst Du wissen, wo morgen das Hoch und das Tief sein wird? Kannst Du das vorher schon wissen? Nein – denn niemand kann die Zukunft vorhersagen. Oder doch? Statistisch lässt sich zumindest bestimmen, wie hoch und wie tief die Kurse morgen steigen oder fallen könnten. Eine Seite wird mit sehr hoher Wahrscheinlichkeit ein treffen. Dann gilt es zu handeln. Berechnung Klassischer Pivot-Punkte für den folgenden Tag werden aus Hoch, Tief und Schlusskurs berechnet. Aber ist es wirklich sinnvoll, einen solchen Mix zu verwenden? Ich finde das nicht und verwenden für diese Strategie eine andere Berechnung. Im ersten Schritt werden täglich die Differenzen nur vom Start bis zum Hoch beziehungsweise Tief errechnet. Um nicht von einzelnen Tagen und Ausreißern abhängig zu sein, empfiehlt es sich, in einem zweiten Schritt den Durchschnitt dieser Differenzen über die letzten fünf Tage zu errechnen. Zuletzt wird dann dieser Durchschnitt zum Eröffnungskurs des aktuellen Handelstages für die obere statistische Bandbreite addiert und für die untere Bandbreite subtrahiert. Obere statistische Bandbreite = oSTB (violette gestrichelte Linie im Chart) Untere statistische Bandbreite = uSTB (violette gestrichelte Linie im Chart) Die zweite interessante Frage ist, wenn das Vortageshoch überschritten wurde, wie weit kann der Kurs dann noch steigen aus mathematisch/statistischer Sicht? Diese berechneten Vortagesextremausdehnungen sind als rote gestrichelte Linien dargestellt Vortageshochausdehnung = VTHA Vortagestiefausdehnung = VTTA Für die weitere Orientierung sind die Vortageshochs (VTH) und die Vortagestiefs (VTT) als hellblaue gestrichelte Linien abgebildet. Als Ergänzung wird noch der Vortages Schluss im Dax Future um 22:00 Uhr VTSA mit einer violetten durchgezogenen Linie und der Kassamarktschluss um 17:30 Uhr mit einer gelben durchgezogenen Linie gezeigt. Das Erreichen der berechneten Extremwerte bedeutet nicht, das der Trend sofort drehen muss, aber es sind zumindest temporäre Erschöpfungspotentiale mit denen sich im Bereich scalping täglich einige Punkte verdienen lassen. Beispiel für günstigen Einstieg Long: Beispiel für günstigen Einstieg Short:
Pine Script® indicator
by FlashtraderVIE
4
RSI with Bollinger Bands Scalp Startegy (1min) ------------------------------------------------------------------------------ The "RSI with Bollinger Bands Scalp Strategy (1min)" is a highly effective tool designed for traders who engage in short-term scalping on the 1-minute chart. This indicator combines the strengths of the RSI (Relative Strength Index) and Bollinger Bands to generate precise buy signals, helping traders make quick and informed decisions in fast-moving markets. How It Works: RSI (Relative Strength Index): The RSI is a widely-used momentum oscillator that measures the speed and change of price movements. It operates on a scale of 0 to 100 and helps identify overbought and oversold conditions in the market. This strategy allows customization of the RSI's lower and upper bands (default settings: 30 for the lower band and 70 for the upper band) and the RSI length (default: 14). Bollinger Bands: Bollinger Bands consist of a central moving average (the basis) and two bands that represent standard deviations above and below the basis. These bands expand and contract based on market volatility. In this strategy, the Bollinger Bands are used to identify potential buy and sell signals based on the price's relationship to the upper and lower bands. Signal Generation: Buy Signal: A buy signal is triggered when two conditions are met: The RSI value falls below the specified lower band, indicating an oversold condition. The price crosses below the lower Bollinger Band. The buy signal is then issued on the first positive candle (where the closing price is greater than or equal to the opening price) after these conditions are met. Sell Signal: In this version of the strategy, the sell signal is currently disabled to focus solely on generating and optimizing the buy signals for scalping. Strategy Highlights: This indicator is particularly effective for traders who focus on 1-minute charts and want to capitalize on rapid price movements. The combination of RSI and Bollinger Bands ensures that buy signals are only generated during significant oversold conditions, helping to filter out false signals. Customization: Users can adjust the RSI length, Bollinger Bands length, and the standard deviation multiplier to better fit their specific trading style and the asset they are trading. The moving average type for Bollinger Bands can be selected from various options, including SMA, EMA, SMMA, WMA, and VWMA, allowing further customization based on individual preferences. Usage: Use this indicator on a 1-minute chart to identify potential buy opportunities during short-term price dips. Since the sell signals are disabled, this strategy is best used in conjunction with other indicators or strategies to manage exit points effectively. This "RSI with Bollinger Bands Scalp Strategy (1min)" indicator is a valuable tool for traders looking to enhance their short-term trading performance by focusing on high-probability entry points in volatile market conditions.
Pine Script® indicator
by RaphusTrade
1
OneThingToRuleThemAll [v1.4]This script was created because I wanted to be able to display a contextual chart of commonly used indicators for scalping and swing traders, with the ability to control the visual representation on the charts as their cross-overs, cross-unders, or changes of state happen in real time. Additionally, I wanted the ability to control how or when they are displayed. While looking through other community projects, I found they lacked the ability to full customize the output controls and values used for these indicators. The script leverages standard RSI/MACD/VWAP/MVWAP/EMA calculations to help a trader visually make more informed decisions on entering or exiting a trade, depending on their understanding on what the indicators represent. Paired with a table directly on the chart, it allows a trader to quickly reference values to make more informed decisions without having to look away from the price action or look through multiple indicator outputs. The main functionality of the indicator is controlled within the settings directly on the chart. There a user can enable the visual representations, or disable, and configure how they are displayed on the charts by altering their values or style types. Users have the ability to enable/disable visual representations of: The indicator chart RSI Cross-over and RSI Reversals MACD Uptrends and Downtrends VWAP Cross-overs and Cross-unders VWAP Line MVWAP Cross-overs and Cross-unders MVWAP Line EMA Cross-overs and Cross-unders EMA Line Some traders like to use these visual indications as thresholds to enter or exit trades. Its best to find out which ones work the best with the security you are trying to trade. Personally, I use the table as a reference in conjunction with the RSI chart indicators to help me decide a logical trailing stop if I am scalping. Some users might like the track EMA200 crossovers, and have visual representations on the chart for when that happens. However, users may use the other indicators in other methods, and this script provides the ability to be able to configure those both visually and by value. The pine script code is open source and itself is fairly straightforward, it is mostly written to provide the ultimate level of control the the user of the various indicators. Please reach out to me directly if you would like a further understanding of the code and an explanation on anything that may be unclear. Enjoy :) -dead1.
Pine Script® indicator
by dead_1
3
[Sniper] SuperTrend + SSL Hybrid + QQE MODHi. I’m DuDu95. ********************************************************************************** This is the script for the series called "Sniper". *** What is "Sniper" Series? *** "Sniper" series is the project that I’m going to start. In "Sniper" Series, I’m going to "snipe and shoot" the youtuber’s strategy: to find out whether the youtuber’s video about strategy is "true or false". Specifically, I’m going to do the things below. 1. Implement "Youtuber’s strategy" into pinescript code. 2. Then I will "backtest" and prove whether "the strategy really works" in the specific ticker (e.g. BTCUSDT) for the specific timeframe (e.g. 5m). 3. Based on the backtest result, I will rate and judge whether the youtube video is "true" or "false", and then rate the validity, reliability, robustness, of the strategy. (like a lie detector) *** What is the purpose of this series? *** 1. To notify whether the strategy really works for the people who watched the youtube video. 2. To find and build my own scalping / day trading strategy that really works. ********************************************************************************** *** Strategy Description *** This strategy is from " QQE MOD + supertrend + ssl hybrid" by korean youtuber "코인투데이". "코인투데이" claimed that this strategy will make you a lot of money in any crypto ticker in 15 minute timeframe. ### Entry Logic 1. Long Entry Logic - Super Trend Short -> Long - close > SSL Hybrid baseline upper k - QQE MOD should be blue 2. Short Entry Logic - Super Trend Long -> Short - close < SSL Hybrid baseline lower k - QQE MOD should be red ### Exit Logic 1. Long Exit Logic - Super Trend Long -> Short 2. Short Entry Logic - Super Trend Short -> Long ### StopLoss 1. Can Choose Stop Loss Type: Percent, ATR, Previous Low / High. 2. Can Chosse inputs of each Stop Loss Type. ### Take Profit 1. Can set Risk Reward Ratio for Take Profit. - To simplify backtest, I erased all other options except RR Ratio. - You can add Take Profit Logic by adding options in the code. 2. Can set Take Profit Quantity. ### Risk Manangement 1. Can choose whether to use Risk Manangement Logic. - This controls the Quantity of the Entry. - e.g. If you want to take 3% risk per trade and stop loss price is 6% below the long entry price, then 50% of your equity will be used for trade. 2. Can choose How much risk you would take per trade. ### Plot 1. Added Labels to check the data of entry / exit positions. 2. Changed and Added color different from the original one. (green: #02732A, red: #D92332, yellow: #F2E313) 3. SuperTrend and SSL Hybrid Baseline is by default drawn on the chart. 4. If you check EMA filter, EMA would be drawn on the chart. 5. Should add QQE MOD indicator manually if you want to see QQE MOD. ********************************************************************************** *** Rating: True or False? ### Rating: → 3.5 / 5 (0 = Trash, 1 = Bad, 2 = Not Good, 3 = Good, 4 = Great, 5 = Excellent) ### True or False? → True but not a 'perfect true'. → It did made a small profit on 15 minute timeframe. But it made a profit so it's true. → It worked well in longer timeframe. I think super trend works well so I will work on this further. ### Better Option? → Use this for Day trading or Swing Trading, not for Scalping. (Bigger Timeframe) → Although the result was not good at 15 minute timeframe, it was quite profitable in 1h, 2h, 4h, 8h, 1d timeframe. → Crypto like BTC, ETH was ok. → The result was better when I use EMA filter. ### Robust? → Yes. Although result was super bad in 5m timeframe, backtest result was "consistently" profitable on longer timeframe (when timeframe was bigger than 15m, it was profitable). → Also, MDD was good under risk management option on. ********************************************************************************** *** Conclusion? → I recommend you not to use this on short timeframe as the youtuber first mentioned. → In my opinion, I can use on longer timeframe like 2h or bigger with EMA filter, stoploss and risk management.
Pine Script® strategy
by DuDu95
7
[VDB]TrendScalp-FractalBox-3EMAThere are many indicators with William’s Fractal and Alligator. As many use EMA’s it may be useful to define a 3-EMA ribbon and combining Fractal Levels/Box (filling background between top and bottom fractals) for trend scalping. I searched for this kind of indicator in community – some show fractals, some just levels, some with alligator etc. but couldn't find the one needed. Hence thought of this indicator which may be of interest to other users too. Key Points: EMA ribbon is created using 3 EMA’s 35/70/105. Users can change these as per their preference. This is used for trend identification – 1. Bullish bias if Price > EMA1 > EMA2 > EMA3. 2. Bearish bias if Price < EMA1 < EMA2 < EMA3. Background is marked during crossing of EMA1 and EMA2 to alert possible trend change. 5-bar fractals are used to mark the Fractal levels and background between top and bottom fractals are filled to create a Fractal Box. Fractal levels are marked only when the fractal formation is complete. Given offset is used this is lagging. How to Use: Sloping EMA ribbon is used for identifying the trend. Fractal box break-out/ break-downs are used to trigger the trade with fractal high/low for entry/SL. Waiting for price contraction towards EMA ribbon resulting in smaller boxes is key to initiate trade. Avoid bigger boxes as SL’s will be big and price may move within. To draw the vertical lines of FractalBox change fractal level0 style to step-line. This indicator combined with the cycle high/low (overbought/oversold) indicators such as CCI/Stochastic/RSI etc. can make it a good trend scalping setup while trading in the direction of momentum in higher timeframe. This setup could be used for any timeframes. Do your back-testing before using it in live market. This indicator was achieved by combing some fractal ideas from “Fractal and Alligator Alerts by JustUncleL” DISCLAIMER : This indicator has been created for educational reference only and do not constitute investment advice. This indicator should not be relied upon as a substitute for extensive independent market research before making your actual trading decisions. Market data or any other content is subject to change at any time without notice. Liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from use of this indicator is accountability of user using it.
Pine Script® indicator
by vireshdb
1
Average Band by HarmanUsually, Moving Averages (Simple & Exponential) consider "close" of each candle to form a line for a particular period. In this indicator, we have considered all the parameters (Open, Close, Low & High) of each candle to form a Band or a wave which act as a zone to provide support & resistance. It works well on all the time frames. It perfectly works on lower time frames of 15 min & 5 min for intraday trades and even for scalping. There is a line that moves very near to candles known as "Candle Line" provide support & resistance to each individual candle and a leading line which moves ahead also acts as support & resistance and helps in determining trend direction. How to use the indicator ? Indicator consists of 3 components : 1) A Band or wave of 3 lines (upper, middle & lower line) 2) A "Candle Line" which moves along with the candles 3) A Leading line which moves ahead of the candles Method 1 : When candles are being formed above the candle line (line near to candles) and it crosses the band or wave from below to upside, then long trade can be initiated. Similarly, When candles are being formed below the Candle line and it crosses the band or wave from upside then short trade can be initiated. Stop loss can be maintained below the band for Long trade and above the band for short trade. Candle line can be used to trail the stop loss. Method 2: If candles moves above and below of the band very often and frequently and candle line is in the middle of candles then it is NO TRADING ZONE. If you still want to trade, then select a higher time frame and check the price movement. If there is a stability in the higher time frame, then take the trade in the higher timeframe with stable movement. Method 3 : Candle line acts as "First line of Defence". In a uptrend, all the candles are formed above the candle line and in case of down trend, all the candles are formed below the candle line. When a newly formed candle cross the candle line then you can book profit. For Example : In uptrend , candles are being formed above the line, when a new candle started forming below the line and when the complete candle is formed below the line, profit can be booked. Vice-versa in case of downtrend. Method 4: Direction of leading line, band and candle line helps in determining the trend. If all these three components are in upward direction, price trend is upward and if all these three components are in downward direction, then price trend is downward. When, leading line and band cross each other from opposite direction for consecutive 2-3 times, then price movement is sideways. Method 5 : Thickness of band play an important role in determining price action. If band is narrow, it means small candles are being formed and no any huge price movement is observed in this period. When band started expanding, it signifies that big candles are begin to form and there is a more price movement than before. Similarly, If contraction of band started, it means that small candles are being formed and there is low price movement as compared to the price movement when Band was expanded. If Band is expanded (wider) and volumes are high, It means the Band will act as strong Support or Resistance than usual. In case, candles and candle line cross the expanded Band, you can enter the Long or Short trade. Method 6: When the Band, leading line and candle line collides or meet at a single point, then it is either strong support or resistance. Method 7 : Usage in Scalping : Select the shorter time frame of 1 min or 5 min. If the candles are crossing the band very frequently in 1 min, then select 5 min time frame or wait for few minutes for stability. Now, when candles started forming above the candle line and it crosses the band from below then take a long position and book profit after few candles above the band. Place stop loss below the Band. Similarly, when candles started forming below the candle line and it crosses the band from above, then enter into short trade and book profit after few candles. Place stop loss above the band in the case of short trade. You can combine above methods to give a sharp edge to your trade and increase the probability of your winning in the trade. Indicator Settings : Default period selected is 50 for both the Band and leading line. You can change the period to 26 or 100 or 200. Select the period and check the chart, if the indicator looks fine and smooth, then you can use your settings. For most of the time, default settings work perfectly. Proudly Developed by : Harmandeep Singh Graduate in Computer Science with Physics & Mathematics MBA in Business Marketing and Finance Experienced Computer programmer & Software developer Stock Market & Crypto Trader
Pine Script® indicator
by harmanrulez
[blackcat] L3 Bias ScalperLevel: 3 Background Bias alone is a powerful tool for trading. I use SMA3, SMA10, SMA20, SMA30 to cover short and middle term of the trend for scalping. Multiple biases can be introduced for long and short entries. Function Use SMAs and biases for scalping with whale move alert (banker fund flow detection) Key Signal buy --> entry signal for long strongbuy --> entry signal for long add --> buy more or re-entry signal for long reduce --> partial exit for long exit --> complete exit for long sell --> short entry signal whalemove --> banker fund move detection Pros and Cons This script provides entry signal together with whale detection by bias algorithms, you can use whale move to predict next move of trend in large time frame. However, trading signal should be further filtered out for more precise entry signal. Remarks At beginning, I want to make it simple and it looks very complex at the end... Readme In real life, I am a prolific inventor. I have successfully applied for more than 60 international and regional patents in the past 12 years. But in the past two years or so, I have tried to transfer my creativity to the development of trading strategies. Tradingview is the ideal platform for me. I am selecting and contributing some of the hundreds of scripts to publish in Tradingview community. Welcome everyone to interact with me to discuss these interesting pine scripts. The scripts posted are categorized into 5 levels according to my efforts or manhours put into these works. Level 1 : interesting script snippets or distinctive improvement from classic indicators or strategy. Level 1 scripts can usually appear in more complex indicators as a function module or element. Level 2 : composite indicator/strategy. By selecting or combining several independent or dependent functions or sub indicators in proper way, the composite script exhibits a resonance phenomenon which can filter out noise or fake trading signal to enhance trading confidence level. Level 3 : comprehensive indicator/strategy. They are simple trading systems based on my strategies. They are commonly containing several or all of entry signal, close signal, stop loss, take profit, re-entry, risk management, and position sizing techniques. Even some interesting fundamental and mass psychological aspects are incorporated. Level 4 : script snippets or functions that do not disclose source code. Interesting element that can reveal market laws and work as raw material for indicators and strategies. If you find Level 1~2 scripts are helpful, Level 4 is a private version that took me far more efforts to develop. Level 5 : indicator/strategy that do not disclose source code. private version of Level 3 script with my accumulated script processing skills or a large number of custom functions. I had a private function library built in past two years. Level 5 scripts use many of them to achieve private trading strategy.
Pine Script® indicator
by blackcat1402
26