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Global Sessions Pro NY/London/Tokyo - O/C/H/LGLOBAL SESSIONS PRO — NY / LONDON / TOKYO Session Opens, Highs, Lows, Midpoints, Closes, Ranges & Killzones OVERVIEW Global Sessions Pro is a comprehensive session-mapping indicator designed for traders who rely on market structure, session context, and time-based behavior. The indicator automatically plots New York, London, and Tokyo sessions, including: • Session Open, High, Low, Midpoint, and Close • Prior session levels projected forward • Session range boxes • Right-side labeled price levels (clearly identified) • Stacked session summary labels (no overlap) • Optional killzones and overlap windows • Breakout alerts (prior or current session levels) The script is fully timezone-aware, DST-safe, and works on any chart timeframe. KEY FEATURES SESSION MAPPING For each session (NY / London / Tokyo), the indicator can display: • Open • High • Low • Midpoint (High + Low) / 2 • Close Each level is drawn with its own horizontal line and optional right-side label, so there is never confusion about which line represents which level. SESSION RANGE BOXES Optional shaded boxes highlight the true session range as it develops in real time. These are useful for visualizing: • Compression vs expansion • Relative session volatility • Strength or weakness between sessions Opacity and visibility are fully configurable. RIGHT-SIDE LEVEL LABELS Each session level can be labeled on the right edge of the chart, showing: • Session name (NY / Lon / Tok) • Level type (O / H / L / M / C) • Optional price value Examples: NY H: 18234.25 Lon L: 18098.50 Tok M: 18142.75 This eliminates ambiguity when multiple session levels overlap or share similar colors. SESSION SUMMARY LABELS (AUTO-STACKED) At the top of each session range, an optional summary label displays: • Session name • Open / High / Low / Close • Total range (points) • Range in ticks • ATR multiple Summary labels are automatically stacked vertically using ATR-based or tick-based spacing, preventing overlap even when multiple sessions occur close together. PRIOR SESSION LEVELS The indicator can project prior session levels into the next session, including: • Prior High and Low • Optional prior Open, Close, and Midpoint These levels are commonly used for: • Support and resistance • Liquidity sweeps • Mean reversion • Failed breakouts Projection length is configurable and safely capped to comply with TradingView drawing limits. KILLZONES AND SESSION OVERLAPS Optional background shading highlights key institutional windows: • London Open • New York Open • London / New York overlap These zones help identify high-probability volatility windows and time-based trade filters. All killzones respect the selected session timezone basis. ALERTS Built-in alerts are available for: • Break of prior session high • Break of prior session low • Break of current session high • Break of current session low Alerts can be configured to trigger on wick or close. Alert logic is written using precomputed crossover detection to ensure historical consistency and avoid missed or false alerts. TIMEZONE AND SESSION HANDLING (IMPORTANT) SESSION TIME BASIS OPTIONS The indicator supports three session-time modes: Market Local (DST-aware) – Recommended • New York uses America/New_York • London uses Europe/London • Tokyo uses Asia/Tokyo • Automatically adjusts for daylight saving time UTC (Fixed) • Sessions are interpreted strictly in UTC • Best for crypto or non-DST workflows • Requires manual adjustment during DST changes Custom Timezone • Define a single custom timezone for all sessions This ensures sessions display correctly regardless of the chart’s timezone. DEFAULT SESSION TIMES (Default values assume Market Local (DST-aware) mode) Tokyo: 09:00 – 15:00 London: 08:00 – 16:30 New York: 09:30 – 16:00 These defaults are optimized for cash and index trading. FX traders may adjust session windows as needed. BEST USE CASES This indicator is particularly effective for: • Index futures (ES, NQ, RTY, DAX, FTSE) • Forex session-based strategies • Time-based breakout systems • Liquidity sweep and mean-reversion models • London Open and New York Open trading • Multi-session market context analysis PERFORMANCE AND SAFETY NOTES • All future-drawn objects are capped to comply with TradingView limits • Crossover logic is evaluated every bar to prevent calculation drift • Old session drawings are automatically culled to reduce chart clutter • Works on all intraday and higher timeframes RECOMMENDED SETTINGS For most traders: • Session Time Basis: Market Local (DST-aware) • Show Open / High / Low / Midpoint: ON • Prior Session Levels: ON • Summary Labels: ON • Killzones: ON • Alerts: ON (Close-based) FINAL NOTES This indicator is designed to provide objective session structure without opinionated trade signals. It works best as a context layer combined with your own execution rules, confirmations, and risk management. If you trade time, structure, and liquidity, this script provides the framework.
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valmont33의
Bens Platypus Dual VWAP_Rolling 7D vs Weekly AnchoredBen’s Platypus Dual VWAP: Rolling 7D vs Weekly Anchored (optional σ bands) Weekly-anchored VWAP resets on Monday (exchange time). That makes sense for assets tied to a traditional weekly “market open,” but BTC trades 24/7 and often doesn’t respect Monday as a real regime boundary—so the Monday reset can create a mechanical jump that looks like signal but is just arithmetic. If you drive entries/exits off that reset, some algos will get spooked into early entries, fake “stretch” readings, or sudden mean shifts that aren’t actually market behaviour. This indicator fixes that by plotting: • Rolling 7D VWAP (thick aqua): a continuous trailing VWAP that does not reset on Mondays, giving you a stable mean for reversion logic. • Weekly Anchored VWAP (thin purple): kept for context, so you can see the reset effect rather than accidentally trade it. Result: you can visually compare the two means and quantify when “weekly structure” is useful versus when it’s just a calendar artifact on a 24/7 market.
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popularGnuofls7의
Multiple Time Frame Stoch-RSIThis indicator is designed to show users the values for default stochastic RSI and default RSI settings across multiple time frames. I have made many bad trades focusing too closely on one particular time frame and indicators that suggest the price will move one way, to be superseded by a higher timeframe pushing price in another direction. The timeframes are customisable so you can select your own timeframes, but the default timeframes chosen here are part of the BareNaked Crypto or Naked Nation strategy, looking at timeframes in multiples of 3 for lower timeframes. The idea in its simplest form is that when timeframes like the 3/6/9m are all over sold or over bought (coloured red or green) then it could be a suitable time to place an order. Or at least be more favourable for your trade. This indicator as with all indicators is designed as a tool to add to whatever arsenal of strategy or tools you are already using and does not constitute financial advice, just be cause 3/6/9m is in red or green does not guarantee that the trade will go your way. The orange on the timeframes are generally designed to show users where price can reverse so for example if the stochastic 3m is at 10 and in green, but the 9m is at 65 in orange, it could be that a push up is not finished and the 9m drop from oversold to 65 could be reversed due to a low 3m stochastic number and then 9m goes from 65 back up to 100, and vice versa. The arrows for direction also allow you to quickly deduce the direction of the stochastic RSI, ^ up, V down, and stable -. this should allow you to see if the stochastic has been rising and is beginning to turn around or not.
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Rogmantrades의
RSI Strategy with Auto Tuner (PF)# RSI Auto‑Tuner Strategy — How To Use This document explains **how to use** the RSI Auto‑Tuner strategy. It intentionally avoids math and implementation details. Follow this as an operating guide. --- ## 1. What This Tool Is For This strategy helps you: * Discover **which RSI length works best** on a given ticker and timeframe * Measure performance using **Profit Factor (PF)** * Improve RSI performance on noisy markets by **transforming price first** The auto‑tuner is a **research tool**, not a live trading signal generator. --- ## 2. Two Modes You Must Treat Differently ### Research Mode Used to explore and discover parameters. * Auto‑Tune: **ON** * Parameters are allowed to change * Results may look very good * Overfitting risk is real ### Trading Mode Used for forward testing or live trading. * Auto‑Tune: **OFF** * Parameters are fixed * Behavior is stable and repeatable * This is the only acceptable mode for live use **Never trade live with Auto‑Tune enabled.** --- ## 3. Manual Mode (Trading Mode) Use this after parameters are finalized. Steps: 1. Set **Auto‑Tune = OFF** 2. Choose: * Source (raw price or transformed price) * RSI Length (manual, default 14) * Oversold / Overbought levels 3. The strategy will: * Enter long when RSI crosses up through Oversold * Enter short when RSI crosses down through Overbought * Flip positions on opposite signals This mode is predictable and safe for forward testing. --- ## 4. Auto‑Tune Mode (Research Mode) Use this to find optimal RSI lengths. Steps: 1. Set **Auto‑Tune = ON** 2. Configure the search range: * Minimum Length (default 5) * Maximum Length (default 14) * Step Size (default 1) 3. The strategy will: * Internally simulate trades for each RSI length * Track gross profit, gross loss, and trades * Select the length with the highest Profit Factor 4. The best length is applied automatically Auto‑Tune evaluates historical data only. --- ## 5. Using a Transform on Price (Critical) RSI does **not** have to run on raw price. You can significantly improve results by: * Applying a **price transform** first * Feeding the transformed series into the RSI Source input Examples of transforms: * Moving averages * Low‑pass filters * Butterworth filters * Any smoother or denoiser Why this works: * Busy, wicky markets cause RSI to whipsaw * Transforms remove micro‑noise * RSI responds to structure instead of chaos * Profit Factor often increases dramatically Best practice: * Auto‑tune on raw price * Auto‑tune on transformed price * Compare PF, trade count, and stability --- ## 6. Reading the Status Label At the last bar, the on‑chart label shows: * Whether Auto‑Tune is ON or OFF * Whether candidates were built successfully * Number of RSI lengths tested * Best RSI length found * Profit Factor and trade count If Auto‑Tune is OFF, the label shows the manual length. --- ## 7. Recommended Workflow 1. Choose ticker and timeframe 2. Enable Auto‑Tune on **raw price** 3. Record best RSI length and PF 4. Enable Auto‑Tune on **transformed price** 5. Compare results 6. Lock parameters 7. Disable Auto‑Tune 8. Forward test --- ## 8. Warnings and Discipline * High PF with few trades is unreliable * Transforms can hide execution costs * Always validate on a different period * Auto‑Tune is a **lens**, not an edge Treat this tool as a research microscope, not an autopilot.
Pine Script™ 전략
AJSwogger의
1
Session Breakout TrackerThis indicator identifies breakout opportunities when price breaks previous session ranges, tracking 4 distinct breakout chains: Asia → London (Primary Asia breakout during London session) London → NY (London breakout during NY session) NY → Asia (NY breakout during next Asia session) Asia → NY* (Fallback Asia breakout during NY if Chain 1 had no breakout) For each breakout, it measures the maximum distance price travels before hitting your defined stop-loss, providing exact pip/point calculations. Features : Automatic session detection (Asia: 18:00-03:00, London: 03:00-12:00, NY: 12:00-18:00 NYT) Complete session range tracking - high/low for each session Session level plotting with adjustable transparency User Inputs : Adjustable pip multiplier (0.0001 for Forex, 0.01 for JPY pairs) Customizable stop-loss distance in pips Toggle labels/table/session levels independently Adjustable session duration for optimizing strategies and back testing
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mmrabea의
ORB 5 Min Break & Retest + Alerts By KhanORB 5-Minute Break & Retest Indicator This indicator plots the high and low of the first 5-minute candle of the trading session (Opening Range). It then monitors price for a breakout above or below the ORB levels and triggers an alert when price retests the broken level and holds. Designed to help identify high-probability ORB continuation setups with clear visual levels and TradingView alerts. If you want, I can also: Make it even shorter (1–2 lines) Write a more detailed TradingView public script description Add a usage guide (rules + best timeframe) Disclaimer: This is general information only and not financial advice. For personal guidance, please talk to a licensed professional.
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Khasan88의
New York Sessions High/Low with Liquidity Purge CriteriaDisplays horizontal lines at the highest high and lowest low of the NY AM (09:30–12:00) and NY PM (13:30–16:00) sessions in New York time. Lines extend forward until price strongly breaks them by a user-defined threshold (N points), at which point they cease extending - liquidity purged. Option to show only active lines (unpurged liquidity) - toggle to hide old liquidity pools for a cleaner chart. Customizable colors, line styles, width, lookback days and purge threshold.
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LimYX의
1
Pre-Market + Daily + Weekly REGULAR HOURS 📦 Pre-Market + Daily + Weekly RTH Range Boxes This indicator automatically plots Pre-Market, Daily, and Weekly range boxes based strictly on US Regular Trading Hours (RTH). What it does: Pre-Market Box (04:00–09:30) Captures the full pre-market high and low, then projects the range forward from the RTH open. Daily RTH Box (09:30–16:00) Tracks the previous day’s regular session high and low and plots the range starting at 04:00 AM the next day. Weekly RTH Box (Mon–Fri, 09:30–16:00) Accumulates the full weekly RTH range and plots it at 04:00 AM on Monday.
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MASTER4U의
NeuralFlow Forecast Levels - User InputsThis is a companion indicator that plots AI-adaptive market equilibrium and expansion mapping levels directly on the SPY chart. NeuralFlow Forecast Levels are generated through a Artificial Intelligence framework trained to identify: Where price is statistically inclined to re-balance Where expansion zones historically exhaust rather than extend This is structure mapping, not prediction. ...................................................................................... What the Bands Represent? AI Equilibrium (white core) Primary weekly balance zone where price is most likely to mean-revert. Predictive Rails (aqua / purple) High-confidence corridor of institutional flow containment. Outer Zones (green / red) Expansion limits where continuation historically begins to decay. Extreme Zones (top / bottom) Rare deviation envelope where auction completion is statistically favored. .The engine updates only when underlying structure changes — not when candles fluctuate intraday. ................................................................................................................. Usage Context These levels are contextual reference zones, not entry signals. They are designed to answer: Where does price matter? Where does continuation weaken? Where does balance statistically reassert itself? Risk Disclaimer Educational and analytical use only. Not financial advice.
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NeuralMarkets의
Fundamental Dashboard [Standalone]Overview The Fundamental Strength Dashboard is a streamlined utility designed to evaluate the fundamental health of a stock directly on your chart. Instead of relying solely on price action, this indicator fetches real-time financial data to assess profitability, valuation, and financial stability. It aggregates five core financial metrics into a single "Fundamental Score" (0-5) and displays a clear rating (Strong Buy, Buy, Neutral, or Weak/Sell) in a customizable dashboard table. How It Works The script analyzes the following 5 Key Fundamental Metrics. For a stock to receive a "point" for a specific metric, it must meet the criteria defined in your settings: Net Income (Profitability): Checks if the company is actually profitable (Net Income > 0). EPS (Earnings Per Share): Ensures the company has positive Earnings Per Share (TTM). P/E Ratio (Valuation): Checks if the stock is valued reasonably compared to your maximum threshold (default: < 45). Debt-to-Equity (Leverage): Analyzes financial risk. Lower is better (default: < 0.5). ROE (Efficiency): Measures how effectively management uses equity to generate profit (default: > 15%). The Scoring System The indicator calculates a cumulative score based on how many of the above criteria are met: Score 5/5 → STRONG BUY: The stock meets all profitability, valuation, and stability criteria. Score 4/5 → BUY: The stock misses only one criterion but is otherwise fundamentally sound. Score 0-3 → WEAK / SELL: The stock fails multiple fundamental checks (e.g., negative earnings, high debt, or overvaluation). Features & Customization Every trader has different risk appetites and sector preferences. You can fully customize the thresholds in the Settings menu: Max P/E Threshold: Adjust this based on the sector (e.g., Tech stocks typically have higher P/Es than Utilities). Min ROE %: Set your requirement for management efficiency. Max Debt/Equity: Tighten or loosen leverage requirements. Visuals: Change the table position (Top Right, Bottom Right, etc.) and color scheme to match your chart theme. How to Use Add the indicator to your chart. Open the Settings (Gear icon). Adjust the Dynamic Thresholds to fit the sector you are trading. Look at the dashboard on the chart to see a snapshot of the stock's fundamental health. Disclaimer This script is for educational and informational purposes only. It relies on third-party financial data provided by TradingView, which may occasionally be missing or delayed. Always do your own research (DYOR) before making investment decisions.
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arora_rohit0999의
CAHOLD / CBLOHDCAHOLD (Close Above Highest Low Day) and CBLOHD (Close Below Lowest High Day) The logic is based on identifying pullbacks followed by strength in the direction of the trend, making it useful as a trend-continuation entry signal rather than a reversal tool. ⸻ How CAHOLD Works (Bullish)     1.    A sequence of red candles forms (a pullback).     2.    The first green candle appears.     3.    The script identifies the highest high of the prior red-candle sequence (HOLD).     4.    A CAHOLD signal triggers when a green candle closes above that HOLD level.     5.    A small green arrow is plotted below the candle. ⸻ How CBLOHD Works (Bearish)     1.    A sequence of green candles forms (a bounce).     2.    The first red candle appears.     3.    The script identifies the lowest low of the prior green-candle sequence (LOHD).     4.    A CBLOHD signal triggers when a red candle closes below that LOHD level.     5.    A small red arrow is plotted above the candle. ⸻ Optional Filters     •    EMA / SMA Trend Filter Only shows CAHOLDs in uptrends and CBLOHDs in downtrends.     •    Minimum Pullback Depth Requires a minimum number of red/green candles before a signal can trigger.     •    ATR Breakout Filter Requires price to break the level by a volatility-adjusted amount.
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CuantmanTV의
Aroon (Any Source)Aroon (Any Source) Overview This indicator is an enhanced version of the classic Aroon Oscillator. It measures trend dominance based on the recency of highs and lows, with added flexibility to operate on any chosen source series and an optional price-scaling mechanism based on VWAP distance. What the Indicator Does The Aroon Oscillator compares how recently the most recent high and low occurred within a lookback window. The result is a bounded oscillator that indicates whether buyers or sellers are currently dominant. This version adds: - Ability to run Aroon on any source - Optional smoothing to reduce noise - Optional VWAP-based price scaling Core Outputs • Aroon Up (0–100): Strength of recent highs • Aroon Down (0–100): Strength of recent lows • Aroon Oscillator (−100 to +100): Net dominance (Up − Down) Inputs and Options • Source: Input series used for calculations • Aroon Length: Lookback window • Use Source for High/Low: Enables Aroon-like mode on any series • Show Oscillator: Toggles oscillator plot • Show Aroon Up/Down: Toggles component lines • Smooth Oscillator: Light smoothing (EMA/RMA/SMA) • VWAP Price Scaling: Scales signal by VWAP distance normalized by ATR How to Use It Use the oscillator as a trend regime filter. Positive values indicate bullish dominance; negative values indicate bearish dominance. VWAP scaling helps suppress signals near equilibrium and emphasize extended moves. Practical Notes • Measures recency, not magnitude • Best used as a regime or bias input • Especially effective intraday with VWAP scaling
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AJSwogger의
Least Squares Moving Average Zero Lag LeadLSMA Zero‑Lag + Lead Indicator This indicator is a modified Least Squares Moving Average (LSMA) designed to reduce lag and optionally introduce a controlled forward‑leaning (lead) component. It is intended to be used either directly on price or as a smoother, more responsive input source for other indicators such as RSI, MACD, or regime filters. 1. What LSMA Is Doing LSMA (Least Squares Moving Average) fits a straight‑line regression to the last N bars and evaluates that line at the current bar. Unlike simple or exponential averages, LSMA implicitly models trend direction and slope, which makes it more responsive during directional moves. 2. Zero‑Lag Adjustment The zero‑lag version applies a simple error‑correction technique: ZL = 2 × LSMA − LSMA(previous) This cancels part of the inherent regression delay, producing a smoother line that reacts faster to turns while remaining stable in trends. 3. Lead Component (Optional) On top of the zero‑lag LSMA, a slope‑based lead is added: Lead = ZL + k × (ZL − ZL(previous)) Here, the recent slope is projected forward by a user‑controlled factor (k). This does not predict price, but it shifts the average slightly in the direction of current momentum, improving responsiveness for signal generation. 4. Why This Helps RSI and Similar Indicators RSI and many oscillators operate on raw price changes, which can be noisy and lag‑prone. Feeding RSI with LSMA ZL or LSMA ZL + Lead instead of raw close price: • Reduces noise without excessive smoothing • Aligns RSI swings with underlying trend direction • Improves timing of overbought/oversold transitions • Reduces late signals after sharp reversals In practice, this produces an RSI that reacts faster in trends but stays calmer in chop. 5. Practical Usage Tips • Use LSMA ZL as a clean, low‑lag replacement for price in oscillators • Add small lead values (0.5–1.0) only if earlier signals are needed • Avoid high lead values in choppy markets • Combine with regime or volatility filters for best results This indicator is best thought of as a signal‑conditioning layer rather than a standalone trading system.
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AJSwogger의