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NSE Swing Breadth NSE Swing Breadth – Market Health Dashboard (0–200, % from Neutral) Overview NSE Swing Breadth – Market Health Dashboard is a market-wide health and regime indicator designed to track internal strength and participation across Large-, Mid-, and Small-cap indices in the Indian equity market. Instead of focusing on price alone, this tool measures how strongly each segment is behaving relative to its own swing trend, normalizes those movements, and combines them into a single Market Health score. The result is a clean, objective dashboard that helps traders identify Risk-On, Caution, and Risk-Off regimes. This indicator is best used for position sizing, exposure control, and timing aggressiveness, rather than individual stock entries. Data Used The indicator internally tracks three broad NSE indices: Large Caps → NIFTY100EQUALWEIGHT Mid Caps → NIFTYMIDCAP150 Small Caps → NIFTYSMLCAP250 Using equal-weighted and broad indices ensures the signal reflects true market participation, not just index heavyweights. Core Logic 1. Swing Strength Model For each index, the script calculates normalized swing strength: Price is compared to its EMA swing baseline The deviation from the EMA is normalized using the EMA of absolute deviations This creates a volatility-adjusted strength value, allowing fair comparison across market regimes This answers the question: Is this segment pushing meaningfully above or below its recent trend? 2. Strength Converted to % from Neutral (Baseline = 100) Each segment’s strength is converted into percentage-style points around a neutral baseline of 100: 100 = Neutral +15 = +15% strength above neutral –20 = –20% weakness below neutral These values are plotted as three smooth lines: Blue → Large Caps Orange → Mid Caps Purple → Small Caps This makes relative leadership and divergence immediately visible. 3. Market Health Score (0–100) The indicator combines all three segments into a single Market Health score: Large Caps → 40% weight Mid Caps → 35% weight Small Caps → 25% weight Extreme values are clamped to avoid distortion, and the final score is normalized to a 0–100 scale: 70–100 → Strong, broad participation 40–69 → Mixed / unstable participation 0–39 → Weak, risk-off conditions Visual Components - Market Health Histogram A vertical histogram displays Market Health (0–100) with enhanced visibility: Green (≥ 70) → Strong Risk-On regime Orange (40–69) → Caution / Transition Red (< 40) → Risk-Off regime The histogram is visually compact and designed to reflect true market health, not exaggerated spikes. - Strength Lines (Baseline = 100) Three strength lines show % deviation from neutral: Above 100 → Positive internal strength Below 100 → Internal weakness These lines help identify: Leadership (which segment is driving the market) Early deterioration (small/mid caps weakening first) Broad confirmation (all segments rising together) Dashboard Tables - Market Regime Table (Bottom-Left) Displays the current market regime: RISK ON CAUTION RISK OFF Along with the exact Market Health score (0–100). - Strength Table (Top-Right) Shows Large / Mid / Small cap strength as % from neutral, for example: +18% → 18% above neutral –12% → 12% below neutral This avoids misleading interpretations and keeps values intuitive and actionable. How to Use This Indicator Risk-On (Green) Favor full position sizes, trend-following strategies, and broader participation trades. Caution (Orange) Reduce leverage, tighten stops, and be selective. Expect choppiness. Risk-Off (Red) Prioritize capital protection, reduce exposure, and avoid aggressive longs. This indicator is not an entry signal — it is a market environment filter. - Important Style Setting (Required) For correct visualization: Settings → Style → Uncheck “Labels on price scale” This prevents the indicator’s internal 0–200 model scale from interfering with the chart’s price scale and keeps the pane clean and readable. Summary NSE Swing Breadth – Market Health Dashboard provides a clear, objective view of market internals, helping traders align their risk with the true underlying condition of the market — not just price movement. It is especially effective for: Market regime identification Exposure management Avoiding false breakouts in weak breadth environments
Pine Script® göstergesi
vikram_bains tarafından
Kinetic RSI [Vel + Accel] + AlertsThe Problem with Standard RSI Most traders use the Relative Strength Index (RSI) to see if a market is "Overbought" (above 70) or "Oversold" (below 30). The problem? A strong trend can stay overbought for days, burning short sellers, or an asset can stay oversold while price continues to crash. Standard RSI tells you where the price is, but it doesn't tell you how hard it is moving. ​The Solution: Kinetic RSI This script reimagines RSI by applying basic physics concepts: Velocity and Acceleration. Instead of asking "Is RSI below 30?", this indicator asks: "Is RSI below 35 AND did it just make a violent, high-speed turn upwards?" ​It filters out lazy, drifting price action and only signals when momentum is accelerating in a new direction. ​How It Works (The Math) ​Velocity: We calculate the speed of the RSI change (Current RSI - Previous RSI). ​Acceleration: We calculate if that speed is increasing (Current Velocity - Previous Velocity). ​The Trigger: A signal is only generated if the RSI is in an extreme zone (<35 or >65) AND it has high Velocity AND positive Acceleration. ​How to Trade It ​1. The "Kick" Signals (Background Highlights) ​🟢 Green Background (Bullish Kick): The RSI was low, but buyers stepped in aggressively. The momentum is not just positive; it is accelerating upward. This is often a "V-Bottom" catch. ​🔴 Red Background (Bearish Kick): The RSI was high, but sellers slammed the price down. Momentum is accelerating downward. ​2. The Line Color ​Lime Line: Velocity is positive (Momentum is rising). ​Fuchsia Line: Velocity is negative (Momentum is falling). ​Usage: If the background flashes Green (Buy Signal), but the line turns back to Fuchsia (Red) a few bars later, the move has failed—exit the trade. ​Settings & Alerts ​RSI Length: Standard 14 (Adjustable). ​Velocity Threshold: Controls sensitivity. ​Lower (e.g., 2-3): More signals, catches smaller reversals. ​Higher (e.g., 5+): Fewer signals, catches only massive "shocks" to the price. ​Alerts Included: You can set alerts for "Bullish Kick," "Bearish Kick," or "Any Kick" to get notified of volatility spikes. ​Best Practices ​Wait for the Close: This indicator measures the closing velocity. Always wait for the bar to close to confirm the background color signal. ​Trend Filtering: This works best as a "Reversal" indicator. If the market is in a super-strong uptrend, ignore the Bearish (Red) signals and only take the Bullish (Green) dips.
Pine Script® göstergesi
MonkeyPhone tarafından
Liquidity Sweep Reentry ToolkitHere’s a clear breakdown of what your Liquidity Sweep Reentry Toolkit script does, and how you can use it on your charts: 🔎 Script Breakdown 1. Visual Controls (Inputs) • : Master toggle to turn all visuals on/off. • : Show labels when a liquidity sweep + ChoCh condition occurs. • : Plot green/red triangles for bullish/bearish reentry signals. • : Prevent multiple signals within the same swing. • : Show HH/HL/LL/LH market structure letters. • : Slider to adjust how dim the background of HH/HL/LL/LH labels appear. 2. Core Conditions • Defines simple bullish () and bearish () candles. • is a placeholder for your Change of Character logic. 3. Sweep Detection • : Detects when price makes a new high compared to the last 5 bars. • : Detects when price makes a new low compared to the last 5 bars. 4. Restriction Flags • Tracks whether a sweep signal has already triggered in the current swing. • Resets when sweeps end, so new signals can appear. 5. Composite Triggers • : Fires when bullish candle + buy-side sweep + ChoCh condition align. • : Fires when bearish candle + sell-side sweep + ChoCh condition align. 6. Visual Labels • Gold labels mark “BS Sweep + ChoCh” or “SS Sweep + ChoCh” events. • Green triangle below bar = bullish reentry. • Red triangle above bar = bearish reentry. • Blue HH/HL/LL/LH labels narrate market structure pivots, with adjustable transparency. 7. Alerts • Alerts can be set for bullish or bearish sweep reentry triggers, so you get notified when conditions align. 📘 How to Use It 1. Apply to Chart Add the script to your TradingView chart (works best on intraday timeframes like 5‑minute). 2. Configure Visuals • Use the Visual Controls panel to toggle features on/off. • Adjust the Label Transparency slider to dim or brighten the HH/HL/LL/LH labels. 3. Interpret Signals • Gold labels show when a sweep + ChoCh condition occurs. • Triangles mark potential reentry points (green = bullish, red = bearish). • HH/HL/LL/LH labels narrate market structure shifts for clarity. 4. Set Alerts • Use the built‑in alert conditions to get notified when bullish or bearish sweep reentry triggers fire. 👉 In short: this toolkit helps you spot liquidity sweeps, confirm with ChoCh, and visualize reentry signals, while also narrating market structure pivots. It’s modular, so you can toggle features depending on how much visual clutter you want. 🛠 Workflow Example 1. Setup • Apply the script to your chart (e.g., 5‑minute S&P futures). • In the indicator settings, decide which visuals you want: • Turn on Sweep + ChoCh labels if you want to see gold tags narrating liquidity events. • Keep Entry triangles on to highlight actionable reentry points. • Adjust the Label Transparency slider so HH/HL/LL/LH structure labels are dim enough not to clutter. 2. Watch for Sweeps • As price pushes above recent highs → a Buy‑side Sweep is detected. • As price dips below recent lows → a Sell‑side Sweep is detected. • If ChoCh logic is true at the same time, you’ll see a gold label (“BS Sweep + ChoCh” or “SS Sweep + ChoCh”). 3. Confirm Reentry • If conditions align (bullish candle + buy‑side sweep + ChoCh), you’ll see a green triangle below the bar. • If bearish candle + sell‑side sweep + ChoCh, you’ll see a red triangle above the bar. • These triangles are your potential reentry triggers. 4. Narrate Market Structure • HH/HL/LL/LH labels appear at pivots, giving you a running commentary of structure shifts. • Example: HH → HL → HH shows bullish continuation; LH → LL → LH shows bearish pressure. • Use the transparency slider to keep these labels subtle but visible. 5. Alerts • Set alerts for “Bullish Sweep Reentry” or “Bearish Sweep Reentry” so you don’t miss signals even if you’re away from the screen. 📘 How to Use in Practice • Intraday trading: On a 5‑minute chart, use the toolkit to spot liquidity grabs and confirm reentry points. • Narration: The HH/HL/LL/LH labels help you keep track of structure without manually marking pivots. • Decision making: Gold labels + triangles = potential trade setups. Structure labels = context for trend bias. • Customization: Dim labels when you want a cleaner chart, brighten them when you’re focused on structure. 👉 In short: this script gives you a modular toolkit — sweeps, ChoCh confirmation, reentry signals, and structure narration — all adjustable so you can tailor the visuals to your workflow. 📈 Bullish Scenario Walkthrough 1. Market Context • You’re watching the 5‑minute chart. • Price has been consolidating near recent highs, building liquidity above. 2. Liquidity Sweep • Price spikes above the prior swing high → the script detects a buy‑side sweep. • A gold label appears: “BS Sweep + ChoCh” (if your ChoCh condition is true). 3. Change of Character (ChoCh) • The candle closes bullish (). • Your ChoCh condition confirms a structural shift. • Together, sweep + ChoCh = potential reentry setup. 4. Reentry Trigger • The script plots a green triangle below the bar. • This marks a bullish sweep reentry signal: price grabbed liquidity and is now showing strength. 5. Market Structure Narration • At the same time, the HH/HL labels update: • The sweep bar prints a new HH. • The next pivot low prints an HL. • This narrates bullish continuation: HH → HL → HH. 6. Trade Decision • You can use the green triangle as your entry cue. • The HH/HL narration gives you confidence that structure supports the trade. • Alerts can be set so you don’t miss the trigger. 7. Risk Management • Stop placement: below the HL pivot or sweep low. • Target: next liquidity pool above, or measured move. 🧭 How to Use This in Practice • Gold label = liquidity event + ChoCh confirmation. • Green triangle = actionable bullish reentry trigger. • HH/HL narration = context for trend bias and trade management. • Transparency slider = keep structure labels subtle so the chart stays clean. 📉 Bearish Scenario Walkthrough 1. Market Context • You’re watching the 5‑minute chart. • Price has been consolidating near recent lows, building liquidity underneath. 2. Liquidity Sweep • Price spikes below the prior swing low → the script detects a sell‑side sweep. • A gold label appears: “SS Sweep + ChoCh” (if your ChoCh condition is true). 3. Change of Character (ChoCh) • The candle closes bearish (). • Your ChoCh condition confirms a structural shift. • Together, sweep + ChoCh = potential bearish reentry setup. 4. Reentry Trigger • The script plots a red triangle above the bar. • This marks a bearish sweep reentry signal: price grabbed liquidity below and is now showing weakness. 5. Market Structure Narration • At the same time, the LH/LL labels update: • The sweep bar prints a new LL. • The next pivot high prints a LH. • This narrates bearish continuation: LH → LL → LH. 6. Trade Decision • You can use the red triangle as your entry cue. • The LH/LL narration gives you confidence that structure supports the short. • Alerts can be set so you don’t miss the trigger. 7. Risk Management • Stop placement: above the LH pivot or sweep high. • Target: next liquidity pool below, or measured move. 🧭 How to Use This in Practice • Gold label = liquidity event + ChoCh confirmation. • Red triangle = actionable bearish reentry trigger. • LH/LL narration = context for trend bias and trade management. • Transparency slider = keep structure labels subtle so the chart stays clean.
Pine Script® göstergesi
dscottmuller tarafından
SUPERTREND ADX FACTOR Modular Trading System - SuperTrend + ADX + DI A comprehensive trend-following system with customizable filters for precise trade execution. CORE COMPONENTS: - SuperTrend with visual fill (trend detection) - ADX + Directional Indicators (trend strength confirmation) - Volume filter (optional) - EMAs 7/21/50 (optional) - Daily VWAP (optional) - Previous Day High/Low levels (support/resistance) KEY FEATURES: ✓ One entry per trend - avoids overtrading ✓ Entry: ADX crosses above threshold with SuperTrend alignment ✓ Exit: SuperTrend direction change ✓ Real-time status dashboard showing all filter conditions ✓ Clear BUY/SELL signals with EXIT markers ✓ All filters can be toggled ON/OFF for testing ✓ Customizable parameters for each indicator DASHBOARD DISPLAY: - Live ADX value (green >23 / red <23) - DI+/DI- values with color coding - Volume metrics - Position status (IN/OUT) - Signal status (BUY/SELL/WAIT) IDEAL FOR: Swing traders and position traders on 4H timeframe looking for high-probability trend entries with proper confirmation. Default configuration: SuperTrend (ATR 10, 3.0) + ADX >23 + DI alignment
Pine Script® göstergesi
acgcapital tarafından
Abyss Protocol OneAbyss Protocol One — Momentum Exhaustion Trading System Overview Abyss Protocol One is a momentum exhaustion indicator designed to identify high-probability reversal points by detecting when price momentum has reached extreme levels. It combines Chande Momentum Oscillator (CMO) threshold signals with dynamic volatility-adjusted bands and multiple protective filters to generate buy and sell signals. Core Concept The indicator operates on the principle that extreme momentum readings (CMO reaching ±80) often precede mean reversion. Rather than chasing trends, Abyss Protocol waits for momentum exhaustion before signaling entries and exits. Key Components 1. Dynamic Bands (Money Line ± ATR) Center line uses linear regression (Money Line) for smooth trend representation Bands expand and contract based on Bollinger Band Width Percentile (BBWP) Low volatility (BBWP < 30): Tighter bands using lower multiplier High volatility (BBWP > 70): Wider bands using higher multiplier Bands visually adapt to current market conditions 2. CMO Exhaustion Signals BUY Signal: CMO drops below -80 (oversold/momentum exhaustion to downside) SELL Signal: CMO rises above +80 (overbought/momentum exhaustion to upside) Thresholds are configurable for different assets and timeframes 3. ADX Filter Signals only fire when ADX exceeds minimum threshold (default: 22) Ensures there's enough directional movement to trade Prevents signals during choppy, directionless markets 4. Band Contraction Filter Calculates band width percentile rank over configurable lookback When bands are contracted (below 18th percentile), ALL signals are blocked Prevents trading during low-volatility squeeze periods where breakout direction is uncertain 5. Consecutive Buy Limit Maximum of 3 consecutive buys allowed before a sell is required Prevents overexposure during extended downtrends Counter resets when a sell signal fires 6. Underwater Protection Tracks rolling average of recent entry prices (last 10 entries within 7 days) Blocks sell signals if current price is below average entry price Prevents locking in losses during drawdowns 7. Signal Cooldown Minimum 5-bar cooldown between signals Prevents rapid-fire signals during volatile swings 8. Extreme Move Detection Detects when price penetrates beyond bands by more than 0.6 × ATR Extreme signals can bypass normal cooldown period Fire intra-bar for faster response to capitulation/blow-off moves Still respects max consecutive buys and underwater protection Visual Features Trend State Detection The indicator classifies market conditions into six states based on EMA stack, price position, and directional indicators: STRONG UP: Full bullish alignment (EMA stack + price above trend + bullish DI + ADX > threshold) UP: Moderate bullish conditions NEUTRAL: No clear directional bias DOWN: Moderate bearish conditions STRONG DOWN: Full bearish alignment CONTRACTED: Bands squeezed, volatility low ADX Trend Bar Colored dots at chart bottom provide instant trend state visibility: Lime = Strong Uptrend Blue = Uptrend Orange = Neutral Red = Downtrend Maroon = Strong Downtrend White = Contracted Volume Spike Highlighting Purple background highlights candles where volume exceeds 2x the 20-bar average, helping identify institutional activity or significant market events. Signal Labels Buy labels show consecutive buy count (e.g., "BUY 2/3"), price, and CMO value Sell labels show consecutive sell count, price, and CMO value Extreme signals display in distinct colors (cyan for buys, fuchsia for sells) Signal candles turn bright blue for easy identification Info Panel Real-time dashboard displaying: Current trend state CMO value with threshold status CMO thresholds (buy/sell levels) ADX with directional indicator (▲/▼) and signal eligibility BBWP percentage Buy/Sell counters Average entry price (with underwater shield indicator 🛡 when protected) Price position relative to Money Line Band width percentile rank Extreme move status Signals status (OPEN/BLOCKED) Recommended Use Timeframe: 5-15 minute charts (parameters tuned for this range) Best suited for: Assets with regular oscillations between overbought/oversold extremes Trading style: Mean reversion, momentum exhaustion, scaled entries Parameters Summary Money Line Length: 12 — Smoothing for center line ATR Length: 10 — Volatility measurement Band Multiplier (Low/High Vol): 1.5 / 2.5 — Dynamic band width CMO Length: 9 — Momentum calculation period CMO Buy/Sell Threshold: -80 / +80 — Signal trigger levels ADX Min for Signals: 22 — Minimum trend strength Signal Cooldown: 5 bars — Minimum bars between signals Max Consecutive Buys: 3 — Position scaling limit Band Contraction Threshold: 18th %ile — Low volatility filter Band Contraction Lookback: 188 bars — Percentile calculation period Extreme Penetration: 0.6 × ATR — Threshold for extreme signals
Pine Script® göstergesi
ralis24 tarafından
BTC - ALSI: Altcoin Season Index (Dynamic Eras)Title: BTC - ALSI: Altcoin Season Index (Dynamic Eras) Overview & Philosophy The Altcoin Season Index (ALSI) is a quantitative tool designed to answer the most critical question in crypto capital rotation: "Is it time to hold Bitcoin, or is it time to take risks on Altcoins?" Most "Altseason" indicators suffer from Survivor Bias or Obsolescence. They either track a static list of coins that includes "dead" assets from previous cycles (ghosts of 2017), or they break completely when major tokens collapse (like LUNA or FTT). This indicator solves this by using a Time-Varying Basket. The indicator automatically adjusts its reference list of Top 20 coins based on historical eras. This ensures the index tracks the winners of the moment—capturing the DeFi summer of 2020, the NFT craze of 2021, and the AI/Meme narratives of 2024/2025. Methodology The indicator calculates the percentage of the Top 20 Altcoins that are outperforming Bitcoin over a rolling window (Default: 90 Days). The "Win" Count: For every major Altcoin performing better than BTC, the index adds a point. Dynamic Eras: The basket of coins changes depending on the date: 2020 Era (DeFi Summer): Tracks the "Blue Chips" of the DeFi revolution like UNI, LINK, DOT, and early movers like VET and FIL. 2021 Era (Layer 1 Wars): Tracks the explosion of alternative smart contract platforms, adding winners like SOL, AVAX, MATIC, and ALGO. 2022 Era (The Survivors): Filters for resilience during the Bear Market, solidifying the status of established assets like SHIB and ATOM. 2023 Era (Infrastructure & Scale): Captures the rise of "Next-Gen" tech leading into the pre-halving year, introducing TON, APT (Aptos), and ARB (Arbitrum). 2024/25 Era (AI & Speed): Tracks the current Super-Cycle leaders, focusing on the AI narrative (TAO, RNDR), High-Performance L1s (SUI), and modern Memes (PEPE). Chart Analysis & Strategy ( The "Alpha" ) As seen in the chart above, there is a strong correlation between ALSI Peaks and local tops in TOTAL3 (The Crypto Market Cap excluding BTC & ETH). The Entry (Rotation): When the indicator rises above the neutral 50 line, it signals that capital is beginning to rotate out of Bitcoin and into Altcoins. This has historically been a strong confirmation signal to increase exposure to high-beta assets. The Exit (Saturation): When the indicator hits 100 (or sustains in the Red Zone > 75), it means every single Altcoin is beating Bitcoin. Historically, this extreme exuberance often marks a local top in the TOTAL3 chart. This is the zone where smart money typically sells into strength, rather than opening new positions. How to Read the Visuals 🚀 Altcoin Season (Red Zone > 75): Strong Altcoin dominance. The market is "Risk On." 🛡️ Bitcoin Season (Blue Zone < 25): Bitcoin dominance. Alts are bleeding against BTC. Historically, this is a defensive zone to hold BTC or Stablecoins. Data Dashboard: A status table in the bottom-right corner displays the live Index Value, current Regime, and a System Check to ensure all 20 data feeds are active. Settings Lookback Period: Default 90 Days. Lowering this (e.g., to 30) makes the index faster but noisier. Thresholds: Adjustable zones for Altcoin Season (Default: 75) and Bitcoin Season (Default: 25). Credits & Attribution This open-source indicator is built on the shoulders of giants. I acknowledge the original creators of the concept and the pioneers of its implementation on TradingView: Original Concept: BlockchainCenter.net. - They established the industry standard definition: 75% of the Top 50 coins outperforming Bitcoin over 90 days = Altseason.. TradingView Implementation: Adam_Nguyen - He implemented the "Dynamic Era" logic (updating the coin list annually) on TradingView. Our code structure for the time-based switching is inspired by his methodology. See also his implementation in the chart. ( Altcoin Season Index - Adam) . Comparison: Why use ALSI | RM? While inspired by the above, ALSI introduces three key improvements: Open Source: Unlike other popular TradingView versions (which are closed-source), this script is fully transparent. You can see exactly which coins are triggering the signal. Sanitized History (Anti-Fragile): Historical Top 20 snapshots are not blindly used. "Dead" coins (like LUNA and FTT) from previous eras are manually filtered out. A raw index would crash during the Terra/FTX collapses, giving a false "Bitcoin Season" signal purely due to bad actors. The curated list preserves the integrity of the market structure signal. Narrative Relevance: The 2024/25 basket was updated to include TAO (Bittensor) and RNDR, ensuring the index captures the dominant AI narrative, rather than tracking fading assets from the previous cycle. You can compare the ALSI indicator with other available tradingview indicators in the chart: Different indicators for the same idea are shown in the 3 Pane window below the BTC and Total3 chart, whereas ALSI is the top pane indicator. Important Note on Coin Selection Baskets are highly curated: Dead/irrelevant coins (FTT, LUNA, BSV) are excluded for clean signals. This prevents historical breaks and ensures Era T5 captures current narratives (AI, Memes) via TAO/RNDR. See above. Users are free to adjust the source code to test their own baskets. Disclaimer This script is for research and educational purposes only. Past correlations between ALSI and TOTAL3 do not guarantee future results. Market regimes can change, and "Altseasons" can be cut short by macro events. Tags bitcoin, btc, altseason, dominance, total3, rotation, cycle, index, alsi, Rob Maths
Pine Script® göstergesi
Rob_Maths tarafından
Session Volume Profile Sniffer: HVN & Rejection ZonesA simple tool built for traders who rely on intraday volume structure. What this script does This script tracks volume distribution inside a selected session and highlights two key price levels: High Volume Nodes (HVNs) — areas where price spent time building heavy participation. Low Volume Nodes (LVNs) — thin zones where price moved quickly with very little interest. Instead of plotting a full profile, this tool gives you the exact rejection-level lines you usually hunt manually. Why these levels matter HVN → price tends to react, stall, or flip direction LVN → price often rejects strongly since liquidity is thin Rejection patterns around these areas give clean entry signals Positioning trades around HVN/LVN helps filter noise in choppy sessions This script removes the trouble of drawing profiles, counting bins, or guessing node levels. Everything is calculated inside the session you choose. How the detection works Inside your session window, the script: 1. Tracks each tick-based price bucket 2. Accumulates raw volume for every bucket Identifies: HVNs = buckets with volume above a tier LVNs = buckets with volume below a tier 3. Prints each level as a single clean line 4. Generates: Long signal → bounce from LVN Short signal → rejection from HVN Built-in exits use ATR-based conditions for quick testing. Features Session-based volume mapping HVN + LVN levels drawn automatically Entry triggers based on rejection ATR exits for experimental backtests Clean, minimal visual output Best use cases Intraday futures Index scalping FX sessions (London / NY) Crypto sessions (user-timed) Anyone who trades around volume structure Adjustable settings Session window Volume bin size HVN multiplier LVN multiplier Enable/disable zone lines This keeps it flexible enough for both scalpers and slow-paced intraday setups. Important note This script is built for study + idea testing. It is not intended as a final system. Once you identify how price behaves around these nodes, you can blend this tool into your own setup.
Pine Script® stratejisi
AIScripts tarafından
Simple Candle Strategy# Candle Pattern Strategy - Pine Script V6 ## Overview A TradingView trading strategy script (Pine Script V6) that identifies candlestick patterns over a configurable lookback period and generates trading signals based on pattern recognition rules. ## Strategy Logic The strategy analyzes the most recent N candlesticks (default: 5) and classifies their patterns into three categories, then generates buy/sell signals based on specific pattern combinations. ### Candlestick Pattern Classification Each candlestick is classified as one of three types: | Pattern | Definition | Formula | |---------|-----------|---------| | **Close at High** | Close price near the highest price of the candle | `(high - close) / (high - low) ≤ (1 - threshold)` | | **Close at Low** | Close price near the lowest price of the candle | `(close - low) / (high - low) ≤ (1 - threshold)` | | **Doji** | Opening and closing prices very close; long upper/lower wicks | `abs(close - open) / (high - low) ≤ threshold` | ### Trading Rules | Condition | Action | Signal | |-----------|--------|--------| | Number of Doji candles ≥ 3 | **SKIP** - Market is too chaotic | No trade | | "Close at High" count ≥ 2 + Last candle closes at high | **LONG** - Bullish confirmation | Buy Signal | | "Close at Low" count ≥ 2 + Last candle closes at low | **SHORT** - Bearish confirmation | Sell Signal | ## Configuration Parameters All parameters are adjustable in TradingView's "Settings/Inputs" tab: | Parameter | Default | Range | Description | |-----------|---------|-------|-------------| | **K-line Lookback Period** | 5 | 3-20 | Number of candlesticks to analyze | | **Doji Threshold** | 0.1 | 0.0-1.0 | Body size / Total range ratio for doji identification | | **Doji Count Limit** | 3 | 1-10 | Number of dojis that triggers skip signal | | **Close at High Proximity** | 0.9 | 0.5-1.0 | Required proximity to highest price (0.9 = 90%) | | **Close at Low Proximity** | 0.9 | 0.5-1.0 | Required proximity to lowest price (0.9 = 90%) | ### Parameter Tuning Guide #### Proximity Thresholds (Close at High/Low) - **0.95 or higher**: Stricter - only very strong candles qualify - **0.90 (default)**: Balanced - good for most market conditions - **0.80 or lower**: Looser - catches more patterns, higher false signals #### Doji Threshold - **0.05-0.10**: Strict doji identification - **0.10-0.15**: Standard doji detection - **0.15+**: Includes near-doji patterns #### Lookback Period - **3-5 bars**: Fast, sensitive to recent patterns - **5-10 bars**: Balanced approach - **10-20 bars**: Slower, filters out noise ## Visual Indicators ### Chart Markers - **Green Up Arrow** ▲: Long entry signal triggered - **Red Down Arrow** ▼: Short entry signal triggered - **Gray X**: Skip signal (too many dojis detected) ### Statistics Table Located at top-right corner, displays real-time pattern counts: - **Close at High**: Count of candles closing near the high - **Close at Low**: Count of candles closing near the low - **Doji**: Count of doji/near-doji patterns ### Signal Labels - Green label: "✓ Long condition met" - below entry bar - Red label: "✓ Short condition met" - above entry bar - Gray label: "⊠ Too many dojis, skip" - trade skipped ## Risk Management ### Exit Strategy The strategy includes built-in exit rules based on ATR (Average True Range): - **Stop Loss**: ATR × 2 - **Take Profit**: ATR × 3 Example: If ATR is $10, stop loss is at -$20 and take profit is at +$30 ### Position Sizing Default: 100% of equity per trade (adjustable in strategy properties) **Recommendation**: Reduce to 10-25% of equity for safer capital allocation ## How to Use ### 1. Copy the Script 1. Open TradingView 2. Go to Pine Script Editor 3. Create a new indicator 4. Copy the entire `candle_pattern_strategy.pine` content 5. Click "Add to Chart" ### 2. Apply to Chart - Select your preferred timeframe (1m, 5m, 15m, 1h, 4h, 1d) - Choose a trading symbol (stocks, forex, crypto, etc.) - The strategy will generate signals on all historical bars and in real-time ### 3. Configure Parameters 1. Right-click the strategy on chart → "Settings" 2. Adjust parameters in the "Inputs" tab 3. Strategy will recalculate automatically 4. Backtest results appear in the Strategy Tester panel ### 4. Backtesting 1. Click "Strategy Tester" (bottom panel) 2. Set date range for historical testing 3. Review performance metrics: - Win rate - Profit factor - Drawdown - Total returns ## Key Features ✅ **Execution Model Compliant** - Follows official Pine Script V6 standards ✅ **Global Scope** - All historical references in global scope for consistency ✅ **Adjustable Sensitivity** - Fine-tune all pattern detection thresholds ✅ **Real-time Updates** - Works on both historical and real-time bars ✅ **Visual Feedback** - Clear signals with labels and statistics table ✅ **Risk Management** - Built-in ATR-based stop loss and take profit ✅ **No Repainting** - Signals remain consistent after bar closes ## Important Notes ### Before Trading Live 1. **Backtest thoroughly**: Test on at least 6-12 months of historical data 2. **Paper trading first**: Practice with simulated trades 3. **Optimize parameters**: Find the best settings for your trading instrument 4. **Manage risk**: Never risk more than 1-2% per trade 5. **Monitor performance**: Review trades regularly and adjust as needed ### Market Conditions The strategy works best in: - Trending markets with clear directional bias - Range-bound markets with defined support/resistance - Markets with moderate volatility The strategy may underperform in: - Highly choppy/noisy markets (many false signals) - Markets with gaps or overnight gaps - Low liquidity periods ### Limitations - Works on chart timeframes only (not intrabar analysis) - Requires at least 5 bars of history (configurable) - Fixed exit rules may not suit all trading styles - No trend filtering (will trade both directions) ## Technical Details ### Historical Buffer Management The strategy declares maximum bars back to ensure enough historical data: ```pine max_bars_back(close, 20) max_bars_back(open, 20) max_bars_back(high, 20) max_bars_back(low, 20) ``` This prevents runtime errors when accessing historical candlestick data. ### Pattern Detection Algorithm ``` For each bar in lookback period: 1. Calculate (high - close) / (high - low) → close_to_high_ratio 2. If close_to_high_ratio ≤ (1 - threshold) → count as "Close at High" 3. Calculate (close - low) / (high - low) → close_to_low_ratio 4. If close_to_low_ratio ≤ (1 - threshold) → count as "Close at Low" 5. Calculate abs(close - open) / (high - low) → body_ratio 6. If body_ratio ≤ doji_threshold → count as "Doji" Signal Generation: 7. If doji_count ≥ cross_count_limit → SKIP_SIGNAL 8. If close_at_high_count ≥ 2 AND last_close_at_high → LONG_SIGNAL 9. If close_at_low_count ≥ 2 AND last_close_at_low → SHORT_SIGNAL ``` ## Example Scenarios ### Scenario 1: Bullish Signal ``` Last 5 bars pattern: Bar 1: Closes at high (95%) ✓ Bar 2: Closes at high (92%) ✓ Bar 3: Closes at mid (50%) Bar 4: Closes at low (10%) Bar 5: Closes at high (96%) ✓ (last bar) Result: - Close at high count: 3 (≥ 2) ✓ - Last closes at high: ✓ - Doji count: 0 (< 3) ✓ → LONG SIGNAL ✓ ``` ### Scenario 2: Skip Signal ``` Last 5 bars pattern: Bar 1: Doji pattern ✓ Bar 2: Doji pattern ✓ Bar 3: Closes at mid Bar 4: Doji pattern ✓ Bar 5: Closes at high Result: - Doji count: 3 (≥ 3) → SKIP SIGNAL - Market too chaotic ``` ## Performance Optimization ### Tips for Better Results 1. **Use Higher Timeframes**: 15m or higher reduces false signals 2. **Combine with Indicators**: Add volume or trend filters 3. **Seasonal Adjustment**: Different parameters for different seasons 4. **Instrument Selection**: Test on liquid, high-volume instruments 5. **Regular Rebalancing**: Adjust parameters quarterly based on performance ## Troubleshooting ### No Signals Generated - Check if lookback period is too large - Verify proximity thresholds aren't too strict (try 0.85 instead of 0.95) - Ensure doji limit allows for trading (try 4-5 instead of 3) ### Too Many False Signals - Increase proximity thresholds to 0.95+ - Reduce lookback period to 3-4 bars - Increase doji limit to 3-4 - Test on higher timeframes ### Strategy Tester Shows Losses - Review individual trades to identify patterns - Adjust stop loss and take profit ratios - Change lookback period and thresholds - Test on different market conditions ## References - (www.tradingview.com) - (www.tradingview.com) - (www.investopedia.com) - (www.investopedia.com) ## Disclaimer **This strategy is provided for educational and research purposes only.** - Not financial advice - Past performance does not guarantee future results - Always conduct thorough backtesting before live trading - Trading involves significant risk of loss - Use proper risk management and position sizing ## License Created: December 15, 2025 Version: 1.0 --- **For updates and modifications, refer to the accompanying documentation files.**
Pine Script® stratejisi
masterau2016 tarafından
ARVEX V1“Failed Reversal – Opposite Candle Only (No Doji/Hammer/Hanging Man)”: This strategy captures failed reversal attempts where the current candle is opposite to the previous candle and volume is higher. It enters long if a bearish candle fails to break a previous bullish candle’s low, and short if a bullish candle fails to break a previous bearish candle’s high. Signals are canceled for Doji, Hammer, or Hanging Man candles. Entries only, fully backtestable.
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Box Theory StrategyHere is an explanation of the Box Theory trading strategy. The Core Philosophy This strategy is based on the idea that the market is a battle between buyers and sellers, and that these groups often defend the same price levels they used previously. Instead of trying to predict every move, this method focuses on trading only at the "extremes" where the probabilities are highest, while avoiding the middle of the chart where price action is random. 1. The Setup: Drawing the Box To use this strategy, you must define the "playing field" for the day before you take any trades. Top of the Box: Draw a line at the Previous Day’s High. Bottom of the Box: Draw a line at the Previous Day’s Low. Center Line: Draw a line roughly in the middle of these two points. This box represents the established range where the market recently found value. 2. The Three Zones & Rules Once the box is drawn, the chart is divided into three zones. Each zone dictates a specific action. Zone 1: The Top (Resistance / Sell Zone) What it represents: This is where sellers previously stepped in and pushed the price down. It is a known area of supply. The Rule: NO BUYING. If the price rallies to this level, you should look for Short/Sell opportunities. Why? Buying here means purchasing at a price that was previously rejected. The probability of a reversal (price going down) is high. Zone 2: The Bottom (Support / Buy Zone) What it represents: This is where buyers previously stepped in and pushed the price up. It is a known area of demand. The Rule: NO SELLING. If the price drops to this level, you should look for Long/Buy opportunities. Why? Selling here means shorting into support. The probability of a bounce (price going up) is high. Zone 3: The Middle (Indecision Zone) What it represents: This is the area of noise and confusion. Neither buyers nor sellers have clear control here. The Rule: DO NOT TRADE. Why? In the middle of the range, the odds of the price going up or down are roughly 50/50. Trading here is considered gambling because you do not have a statistical edge. 3. Execution: How to Trade The Entry Short Setup: Wait for the price to touch or slightly pierce the Top of the Box. Enter a short position when you see the price failing to break out (e.g., leaving a wick and closing back inside the box). Long Setup: Wait for the price to touch or slightly pierce the Bottom of the Box. Enter a long position when you see the price failing to break down (e.g., bouncing off the level). Stop Loss (Risk Management) This strategy offers a very clear invalidation point. For Shorts: Place your Stop Loss just above the box. For Longs: Place your Stop Loss just below the box. Logic: If the price clearly breaks out of the box, the range is broken, and you want to exit the trade immediately with a small loss. Take Profit (Targets) First Target: The Center Line. This is a safe place to take some profit or move your stop loss to breakeven. Main Target: The opposite side of the box (e.g., if you sold at the top, target the bottom). 4. Handling Gaps (The "Cheater Box") If the market opens significantly higher or lower than the previous day's range (a large gap), the original box may be too far away to be useful. Adjustment: In this scenario, you can draw a new box using the highest and lowest price points of the current trading session so far. Once this new range is established, apply the same rules: Sell the high, Buy the low, and avoid the middle.
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