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NYMO Fib Levels - RGNYMO is a single-session tool built around Fibonacci projections from the New York morning move. It automatically marks the NYMO session, measures its high–low range and projects your custom fib multiples above and below price, with every level drawn and labelled so you always know exactly which multiple you are trading around. The core of the script is the 12:00–12:30 opening window. That first 30 minutes is treated as the price-discovery phase of the session: it captures the initial burst of liquidity, the repricing of overnight positions and the first real directional push. The high and low of 12:00–12:30 form the opening range, and all fib projections are anchored to that move, turning the very first half-hour into a structured map for the rest of the session. On top of the fib framework, NYMO can show the NYMO session box, compare the current range to recent NYMO statistics, and trigger alerts when price breaks the NYMO high or low or trades through key fib areas. It is built for traders who only care about the New York morning and want all of their structure, targets and alerts driven by fibs from that one defined opening window.
Pine Script® göstergesi
rupeshgonte tarafından
Squeeze & StructureTitle: Ultimate Squeeze & Market Structure Description: This all-in-one trading system combines two of the most powerful concepts in technical analysis: Volatility Compression (The Squeeze) and Market Structure (SMC). It is designed to solve the biggest problem breakout traders face: False Breakouts. By waiting for a Volatility Squeeze to release energy, and confirming it with a structural Break of Structure (BoS) or Change of Character (CHoCH), traders can identify high-probability setups with precision. How It Works (The "Trifecta" Logic): 1. The Energy (The Squeeze): Using the classic TTM Squeeze logic, the indicator monitors the relationship between Bollinger Bands (price volatility) and Keltner Channels (average range). Red Cloud: Volatility is compressed. The market is coiling like a spring. This is the Setup Phase. Breakout: When price expands outside the bands, the energy is released. 2. The Structure (SMC & ZigZag): Built on a custom Non-Repainting ZigZag engine, the indicator objectively maps swing highs and lows to define the trend. BoS (Break of Structure): Signals trend continuation. Price breaks a previous pivot in the direction of the trend. CHoCH (Change of Character): Signals potential reversal. Price breaks a significant pivot in the opposite direction of the trend. Ghost Line: A dotted line shows the live, developing leg of the ZigZag before it is confirmed, helping you anticipate the next pivot. 3. The Confluence (The Strategy): The most powerful signals occur when these two forces align. Example: A Red Squeeze releases into a Bullish Breakout (Fuchsia Cloud), immediately followed by a Bullish CHoCH. This confirms that not only is volatility expanding, but the structural trend has officially reversed to the upside. Visual Guide: ☁️ Cloud Colors (Volatility): 🟥 Red: Squeeze ON (Consolidation). 🟣 Fuchsia: Bullish Momentum Breakout. 🔵 Blue: Bearish Momentum Breakout. 🟡 Yellow: Armed/Waiting for Pullback (if Pullback mode is active). ⬜ Gray/Green: Normal Trending. 🏷️ Labels (Structure): H / L: Confirmed Swing Highs and Lows. BoS: Break of Structure (Trend Continuation). CHoCH: Change of Character (Trend Reversal). Features: Dual Entry Modes: Choose between "Breakout" (immediate signal) or "Pullback" (waits for a retest of the midline). Momentum Filter: Breakouts are only colored if the 20 SMA slope agrees with the direction. Fully Customizable: Adjust ZigZag Sensitivity (Depth/Deviation), Squeeze lengths, and all colors. Alerts: Triggers available for Squeeze Start, Breakouts, and Armed status. Credits: This script incorporates concepts from the TTM Squeeze and standard Smart Money Concepts (SMC) market structure analysis. It uses a custom, non-repainting pivot detection algorithm to ensure historical accuracy.
Pine Script® göstergesi
tonngnh3 tarafından
BTC – LEVR: Leverage Efficiency & Volume RatioLEVR: Leverage Efficiency & Volume Ratio Observation-only. Data: IntoTheBlock. Overview The Leverage Efficiency & Volume Ratio (LEVR) is a market structure oscillator designed to detect "Paper Bubbles" and "Organic Bottoms" by separating speculative greed from network utility. While most indicators analyze price action, LEVR analyzes market fragility. It operates on the thesis that Sustainable Rallies are driven by Spot/Network Activity, while Fragile Rallies are driven by Derivatives Leverage. Synergy How it works with VERI LEVR is designed to be the tactical counterpart to the fundamental VERI Indicator (Valuation & Entity Ratio Index). Use VERI for Strategy: To identify Value. (Is Bitcoin cheap? Are Whales buying?) Use LEVR for Risk: To identify Structure. (Is the current price move real, or is it a leverage bubble about to pop?) The "Perfect Setup" The strongest buy signals occur when VERI is in the Accumulation Zone (Whales buying) AND LEVR is in the Organic Zone (Leverage is flushed out) (as it was the case in the Dec 2022 Bear Market Bottom). Why LEVR is Unique Standard indicators often fail to contextualize Open Interest: vs. Raw Open Interest: Raw OI always trends up over time as the market grows. LEVR solves this by normalizing OI against Active Addresses. This reveals when leverage is outpacing actual adoption. vs. ELR (Estimated Leverage Ratio): Classic ELR divides Open Interest by Exchange Reserves. However, Exchange Reserves are notoriously difficult to track accurately. LEVR uses Active Addresses (Network Utility) as a cleaner, more reliable denominator for network health. Methodology The Mathematics: The indicator calculates a normalized Z-Score ratio between two IntoTheBlock datasets: The Numerator (Greed): Perpetual Open Interest. The total dollar value of all open futures contracts. This represents the "Gambling" capital. The Denominator (Utility): Active Addresses. The number of unique addresses transacting on-chain. This represents the "Real" user base. The Formula : LEVR = Z-Score ( Perpetual Open Interest / Active Addresses ) How to Interpret the Visuals The line color changes dynamically to reflect the current risk regime: 🟥 Speculative Premium (Red Line > 2.0) : Signal: "Leverage Bubble." Context: Open Interest is rising significantly faster than User Growth. The rally is fueled by debt. Risk: High probability of a "Long Squeeze" or liquidation cascade. 🟦 Organic Base (Blue Line < -1.5) : Signal: "Spot Driven Market." Context: Speculators have been flushed out, but active network usage remains high. The line turns Blue to signal a healthy opportunity zone. Risk: Low. Historically marks robust bottoms where hands are strong. 🟧 Neutral (Orange Line) : The market is in a transition phase between organic growth and speculation. Settings & Inputs Users can customize the sensitivity of the Z-Score to fit their trading style (in brackets their current standard value): Lookback Period (365) : The rolling window used to establish the "Baseline." A 365-day window captures the yearly trend. Signal Smoothing (7) : A short moving average to reduce daily data noise. Bubble Zone Top/Bottom (3.0 / 2.0) : The thresholds for the Red Zone. Raising the "Top" value will only show the most extreme, generational leverage bubbles. Organic Zone Top/Bottom (-1.5 / -2.5) : The thresholds for the Green Zone. Lowering these values requires a deeper "flush" to trigger a signal. Optimization This indicator is mathematically optimized for the Daily (1D) timeframe. Using it on lower timeframes may result in noise due to the daily resolution of on-chain data. Important Note on Historical Data Please be aware that aggregated global Perpetual Open Interest data only becomes reliable and widely available starting around 2020-2021. Pre-2021: The indicator will show a flat line or empty values. This is not a bug; it reflects the lack of historical derivatives market data for that period. 2021-Present: The indicator functions fully as intended. Credits Concept inspired by the "Estimated Leverage Ratio" (ELR) popularised by CryptoQuant and analysts like Willy Woo. LEVR adapts this concept for TradingView by substituting Exchange Reserves with Network Activity for better reliability. Disclaimer This tool is for research purposes only. It visualizes market structure data and does not constitute financial advice. Tags bitcoin, btc, open interest, leverage, on-chain, intotheblock, risk, derivatives, levr, veri
Pine Script® göstergesi
Rob_Maths tarafından
Hash SupertrendHash Supertrend is a visually enhanced Supertrend-based indicator designed by Hash Capital Research, tuned specifically for crypto trend trading on Solana (SOL) and Bitcoin (BTC). It combines institutional-style color coding, an optional session time filter, and production-ready alerts for systematic and discretionary traders alike. What This Indicator Is Hash Supertrend is a trend-following volatility band indicator built on TradingView’s native ta.supertrend() function. It’s optimized and visually styled for: High-volatility crypto pairs (especially SOL/USDT, SOL/USD, BTC/USDT, BTC/USD) Timeframes typically used by crypto traders (from 5m scalping to 4H swing and 1D trend following) The script is an indicator, not a strategy: It does not place trades or show backtest results. It provides clear trend states, flips, and alerts that you can plug into your own execution stack or manual trading. Key Features ✅ Tuned for Crypto (Solana & Bitcoin) Parameters are chosen to respond well to the volatility profile of SOL and BTC, reducing noise while still catching strong moves. ✅ Non-repainting Supertrend Core Uses TradingView’s built-in ta.supertrend — values may move intrabar as the bar forms, but once a bar closes, the historical line and signals do not repaint. ✅ Fluorescent Trend Visualization Bright green for bullish phases Bright red for bearish phases Adaptive color intensity based on user setting ✅ Glow Layer & Trend Zones Glow effect around the Supertrend line for instant visual recognition Optional filled zones between price and line for “trend cloud” style visualization ✅ Time Filter (Session Control) Option to only mark signals during specific hours for those wanting to integrate with webhooks Designed for traders who avoid certain sessions (e.g., low-liquidity hours) ✅ Signal Dots & Alerts Tiny green dots for bullish flips Tiny red dots for bearish flips Professional, preconfigured alerts for: Long Entry Short Entry Any Trend Change Filtered signals outside trading hours (for monitoring only) The core logic is built on: ATR Length (ATR Length) Default: 16 Lower values (7–10): more sensitive, more signals, more noise Higher values (12–20): smoother, fewer but stronger trend signals Factor (Factor) Default: 3.11 Lower values (1.5–2.5): tighter bands, earlier entries, higher whipsaws Higher values (3.0–4.0+): wider bands, later entries, stronger trend confirmation The indicator reads direction from ta.supertrend and classifies: Bullish Trend: direction < 0 Bearish Trend: direction > 0 A trend flip happens when direction changes sign: longSignal: Supertrend flips from above price to below price (bearish → bullish) shortSignal: Supertrend flips from below price to above price (bullish → bearish)
Pine Script® göstergesi
Hash_Capital tarafından
Squeeze Momentum OscillatorTitle: Squeeze Momentum Oscillator Description: This indicator is a panel-based oscillator that separates market momentum from volatility, designed to spot high-probability breakouts using the classic TTM Squeeze logic. How It Works: The indicator uses a "traffic light" system on the zero line to indicate volatility states, while the histogram shows the strength and direction of the trend. 1. The Dots (Volatility State): These dots tell you if the market is consolidating or trending. 🔴 Red Dot: Squeeze is ON. Bollinger Bands are inside Keltner Channels. Volatility is compressed. Do not trade; wait for the release. 🟢 Green Dot: Squeeze is OFF. Volatility is normal. 🟣 Fuchsia Dot: Bullish Breakout! The squeeze has fired to the upside and is confirmed by positive SMA momentum. 🔵 Blue Dot: Bearish Breakout! The squeeze has fired to the downside and is confirmed by negative SMA momentum. 2. The Histogram (Momentum): This measures the strength of the move using Linear Regression. Light Green: Bullish momentum is increasing. Dark Green: Bullish momentum is waning (caution). Light Red: Bearish momentum is increasing. Dark Red: Bearish momentum is waning (caution). Settings & Features: Momentum Filter: Breakout dots (Fuchsia/Blue) only appear if the 20-period SMA slope agrees with the breakout direction, filtering out weak fakeouts. Customizable: Adjust lengths and multipliers for Bollinger Bands and Keltner Channels to tune sensitivity. Toggle: You can turn the specific "Breakout Colors" on or off in the settings. Credits: Based on the TTM Squeeze concept popularized by John Carter, utilizing Linear Regression for momentum and standard deviation/ATR comparisons for volatility. Fixed and optimized for TradingView Pine Script v6.
Pine Script® göstergesi
tonngnh3 tarafından
MFI Volume Profile [Kodexius]The MFI Volume Profile indicator blends a classic volume profile with the Money Flow Index so you can see not only where volume traded, but also how strong the buying or selling pressure was at those prices. Instead of showing a simple horizontal histogram of volume, this tool adds a money flow dimension and turns the profile into a price volume momentum heat map. The script scans a user controlled lookback window and builds a set of price levels between the lowest and highest price in that period. For every bar inside that window, its volume is distributed across the price levels that the bar actually touched, and that volume is combined with the bar’s MFI value. This creates a volume weighted average MFI for each price level, so every row of the profile knows both how much volume traded there and what the typical money flow condition was when that volume appeared. On the chart, the indicator plots a stack of horizontal boxes to the right of current price. The length of each box represents the relative amount of volume at that price, while the color represents the average MFI there. Levels with stronger positive money flow will lean toward warmer shades, and levels with weaker or negative money flow will lean toward cooler or more neutral shades inside the configured MFI band. Each row is also labeled in the format Volume , so you can instantly read the exact volume and money flow value at that level instead of guessing. This gives you a detailed map of where the market really cared about price, and whether that interest came with strong inflow or outflow. It can help you spot areas of accumulation, distribution, absorption, or exhaustion, and it does so in a compact visual that sits next to price without cluttering the candles themselves. Features Combined volume profile and MFI weighting The indicator builds a volume profile over a user selected lookback and enriches each price row with a volume weighted average MFI. This lets you study both participation and money flow at the same price level. Volume distributed across the bar price range For every bar in the window, volume is not assigned to a single price. Instead, it is proportionally distributed across all price rows between the bar low and bar high. This creates a smoother and more realistic profile of where trading actually happened. MFI based color gradient between 30 and 70 Each price row is colored according to its average MFI. The gradient is anchored between MFI values of 30 and 70, which covers typical oversold, neutral and overbought zones. This makes strong demand or distribution areas easier to spot visually. Configurable structure resolution and depth Main user inputs are the lookback length, the number of rows, the width of the profile in bars, and the label text size. You can quickly switch between coarse profiles for a big picture and higher resolution profiles for detailed structure. Numeric labels with volume and MFI per row Every box is labeled with the total volume at that level and the average MFI for that level, in the format Volume . This gives you exact values while still keeping the visual profile clean and compact. Calculations Money Flow Index calculation currentMfi is calculated once using ta.mfi(hlc3, mfiLen) as usual, Creation of the profileBins array The script creates an array named profileBins that will hold one VPBin element per price row. Each VPBin contains volume which is the total volume accumulated at that price row mfiProduct which is the sum of volume multiplied by MFI for that row The loop; for i = 0 to rowCount - 1 by 1 array.push(profileBins, VPBin.new(0.0, 0.0)) pre allocates a clean structure with zero values for all rows. Finding highest and lowest price across the lookback The script starts from the current bar high and low, then walks backward through the lookback window for i = 0 to lookback - 1 by 1 highestPrice := math.max(highestPrice, high ) lowestPrice := math.min(lowestPrice, low ) After this loop, highestPrice and lowestPrice define the full price range covered by the chosen lookback. Price range and step size for rows The code computes float rangePrice = highestPrice - lowestPrice rangePrice := rangePrice == 0 ? syminfo.mintick : rangePrice float step = rangePrice / rowCount rangePrice is the total height of the profile in price terms. If the range is zero, the script replaces it with the minimum tick size for the symbol. Then step is the price height of each row. This step size is used to map any price into a row index. Processing each bar in the lookback For every bar index i inside the lookback, the script checks that currentMfi is not missing. If it is valid, it reads the bar high, low, volume and MFI float barTop = high float barBottom = low float barVol = volume float barMfi = currentMfi Mapping bar prices to bin indices The bar high and low are converted into row indices using the known lowestPrice and step int indexTop = math.floor((barTop - lowestPrice) / step) int indexBottom = math.floor((barBottom - lowestPrice) / step) Then the indices are clamped into valid bounds so they stay between zero and rowCount - 1. This ensures that every bar contributes only inside the profile range Splitting bar volume across all covered bins Once the top and bottom indices are known, the script calculates how many rows the bar spans int coveredBins = indexTop - indexBottom + 1 float volPerBin = barVol / coveredBins float mfiPerBin = volPerBin * barMfi Here the total bar volume is divided equally across all rows that the bar touches. For each of those rows, the same fraction of volume and volume times MFI is used. Accumulating into each VPBin Finally, a nested loop iterates from indexBottom to indexTop and updates the corresponding VPBin for k = indexBottom to indexTop by 1 VPBin binData = array.get(profileBins, k) binData.volume := binData.volume + volPerBin binData.mfiProduct := binData.mfiProduct + mfiPerBin Over all bars in the lookback window, each row builds up total volume at that price range total volume times MFI at that price range Later, during the drawing stage, the script computes avgMfi = bin.mfiProduct / bin.volume for each row. This is the volume weighted average MFI used both for coloring the box and for the numeric MFI value shown in the label Volume .
Pine Script® göstergesi
Kodexius tarafından
Équilibre du Sentiment – Multi-Périodes (v6) English A unique and advanced sentiment indicator based on the harmonic mean of highs and lows over nested rolling windows. How it works: The neutral sentiment point is reached when positive sentiment equals negative sentiment, which corresponds to the situation where the percentage between the price and the minimum is equal to the percentage between the maximum and the price. For each chosen period N, the script calculates N different "neutral feeling" values: - One using the last 1 bar - One using the last 2 bars - … - One using the last N bars It then extracts the exact median of these N values using a sorted insertion method (no approximation). This produces an extremely smooth, non-repainting equilibrium line that represents the true "central sentiment" of the market over the selected lookback. Features: - Up to 3 independent periods (365, 52, 26 by default – fully customizable) - Optional background coloring (green/red) when price is above/below the main curve - Clean labels on the last bar showing the current value for each active period - Zero repainting – fully compatible with strategies and alerts - Highly responsive even with very long periods (up to 3500 bars) Great for: - Identifying long-term fair value / equilibrium zones - Building mean-reversion or breakout systems Pure Pine Script® v6 – no external libraries, no security calls, no repainting-free.
Pine Script® göstergesi
stochastoche tarafından
RedFlag: Dynamic Step DCA StrategyBased on RedFlag idea from HamsterBot guys. RedFlag: Dynamic Step DCA is a grade Dollar Cost Averaging (DCA) tool designed to capitalize on market corrections. Instead of trying to catch the exact bottom, this strategy uses a system of Safety Orders (SO) to systematically lower your Average Entry Price as the market drops. Unlike simple linear DCA bots, this strategy features a Dynamic Geometric Grid. This means you can configure the distance between buy orders to expand with every step, allowing you to cover significantly deeper market drawdowns without exhausting your capital on minor fluctuations. Key Features Smart Entry: Places a Limit Order below the current price to catch "wicks" and immediate dips. Dynamic Grid Expansion: The distance between Safety Orders can increase exponentially (e.g., 1% -> 1.5% -> 2.25%), allowing you to survive high volatility. Moving Target Logic: Safety orders can be calculated based on your Average Position Price, meaning the grid adapts to your actual break-even point. Auto-Take Profit: The exit target automatically adjusts as your average price lowers, ensuring you exit with a profit on the first significant rebound. ⚙️ Settings & Configuration Guide Here is a detailed explanation of every parameter in the settings menu: 1. Entry Settings Source Price: The price data used for calculations (Default: Close). Base Order Drop %: The "Trigger". The strategy places the very first Buy Limit order this many percent below the current price. Example: If set to 1.0% and price is $100, the bot waits to buy at $99. 2. Safety Orders (Averaging) Settings This is the core engine of the strategy. Safety Order Step % : The distance required for the first Safety Order (DCA buy) after the initial entry. Safety Order Step Scale : The "Elasticity". This multiplier determines how the grid expands. - 1.0: Linear Grid. Every buy order is spaced equally (e.g., -1%, -1%, -1%). - 1.2 - 1.5: Geometric Grid (Recommended). Each step becomes wider. Example (Scale 1.5): Step 1 is 1%, Step 2 is 1.5%, Step 3 is 2.25%. This saves capital for deeper drops. Calculate SO from Avg Price: ☑ ON: The next buy level is calculated from your Average Position Price. This is a "Moving Grid" that chases the price down efficiently. ☐ OFF: The next buy level is calculated from the original Source Price (Static Grid). Max Safety Orders Count: The maximum number of additional buys allowed. This protects you from buying indefinitely during a market crash. 3. Exit Settings Take Profit %: The profit target. Important: This is always calculated from your Average Position Price, not the first entry price. This allows you to close the deal in profit even if the price never returns to the all-time high.
Pine Script® stratejisi
DesertWayfarer tarafından
BTC Hadi Mon Buy / Wed Sell (Time-Based)Monday Buy / Wednesday Sell Indicator — Description The Monday Buy / Wednesday Sell Indicator is a simple, rules-based trading signal built around a recurring short-term pattern often observed in market behavior. Rather than relying on prediction or speculation, the indicator applies a fixed weekly schedule designed to capture potential early-week strength and mid-week profit-taking tendencies. How It Works Buy Signal: Triggered at the market open on Monday. Historically, Mondays can reflect market resets after weekend news, investor repositioning, or temporary price softness. The indicator treats this as a systematic entry point — not a forecast, but a rule. Sell Signal: Triggered at the market close on Wednesday. Mid-week sessions often see increased liquidity, corporate announcements, and institutional adjustments. The indicator exits positions on Wednesday to crystallize any early-week momentum before volatility rises later in the week. Core Idea Rather than predicting price direction, the indicator exploits a repeatable time-based behavioral pattern. The philosophy mirrors Munger’s view: “Take a simple idea and take it seriously,” while maintaining Buffett’s discipline and Dalio’s systematic rule-driven approach. What It Is NOT It is not a forecast of the market. It is not personalized financial advice or a guarantee of profit. It does not replace diversified, long-term investing. Intended Use This simple weekly rhythm: Helps investors study short-term market seasonality. Creates a disciplined practice for testing rules-based strategies. Serves as an educational tool for building emotional detachment from day-to-day market noise.
Pine Script® stratejisi
hbayatne tarafından
90% Buying Power Position Size Helper90% Buying Power Position Size Helper — Script Description This tool calculates a recommended share size based on your available buying power and the current market price. TradingView does not provide access to live broker balances, so this script allows you to manually enter your current buying power and instantly see how many shares you can buy using a chosen percentage of it (default: 90%). How It Works • Enter your Buying Power ($) • Choose the Percent to Use (e.g., 90%). • The script divides the selected portion of your buying power by the current price of the symbol. • A small display in the chart corner shows the recommended number of shares to buy. Formula shares = floor((buying_power * percent_to_use / 100) / price) What It’s For • Day traders who size positions based on account buying power • Traders who want a quick way to calculate share size per trade • Anyone who sizes entries using a fixed percentage of their account What It Doesn’t Do Due to TradingView limitations, the script cannot: • Read your live buying power or broker balance • Auto-fill orders or submit trades • Retrieve real account data from your broker You simply update the buying power input whenever your account changes, and the script does the rest. Why It’s Useful • Keeps you consistent with position sizing • Reduces manual math during fast trading • Prevents oversizing or undersizing trades • Helps maintain discipline and risk control
Pine Script® göstergesi
TraderBecks tarafından
OBV + WaveTrend Volume Scalper [GratefulFutures]This script is a combination script of three different strategies that provides buy and sell signals based on the change of volume with momentum confirmations. Sources used: This script relies on the outstanding scripts of the great script writer LazyBear: LazyBear The following scripts were used in this publication: 1. A modified "On-Balance Volume Oscillator" modified from LazyBear's original script: 2. Wavetrend Oscillator with crosses, Author: LazyBear 3. Squeeze Momentum Oscillator, Author: LazyBear This script functions based on the following criteria being true: 1. On balance volume oscillator turning from negative to positive (buy) or positive to negative (sell) 2. Squeeze Momentum value is increasing (buy) or decreasing (sell) 3. Wavetrend 1 (wt1) is greater than wavetrend 2 (wt2) (buy)/ Wavetrend 1 (wt1) is less than wavetrend 2 (wt2) (sell) By combining these factors the indicator is able to signal exactly when net buying turns to net selling (OBV) and when this change is most advantageous to continue based on the momentum and price action of the underlying asset (SQMOMO and Wavetrend). This allows you to pair volume and price action for a powerful tool to identify where price will reverse or continue providing exceptional entries for short term trades, especially when combined with other aspects such as support and resistance, or volume profile. How to use: Simply adjust the settings to your preference and read the given signals as generated. Settings There are multiple ways to tune the signals generated. It is set standard for my preferred use on a 1 minute chart. OBV Oscillator Settings The first 4 dropdowns in the Inputs section tune the On Balance Volume Oscillator (OBVO) portion of the indicator. You can choose if you want it to calculate based on close, open, high, low, or other value. The most impactful in the entire settings is going to be the length and smoothing of the OBVO EMA. Making this number lower increasing the sensitivity to changes in volume, making the signals come quicker but is more susceptible to quick fluctuations. A value of between (5-20) is reasonable for the OBVO EMA length. There is a separate smoothing factor titled OBV Smoothing Length and below that, OBV Smoothing Type , a value of (2) is standard with "SMA" for smoothing type with a value of between 2-10 being reasonable. You may also play with these values to see what you like for your trading style. Wavetrend Settings The next 3 options are to modify the wavetrend portion of the indicator. I do not modify these from standard, and feel that they work appropriately on all time frames at the following values: n1 length (10), n2 length (20), Wavetrend Signal SMA length (4) Squeeze Momentum Settings The following 5 options through the end modify the Squeeze momentum portion of the indicator. The only one that modifies the signals generated is the KC Length , Making this number lower increasing the sensitivity to changes in price action, making the signals come quicker but is more susceptible to quick fluctuations. A value of between (18-25) is reasonable for KC Length . Style Setting You may select if you want to see the buy and sell signals. The following 5 options Raw OBV Osc through Squeeze Momentum allow you to see where each specific requirement was met, posted as a vertical line, but for live use it is recommended to turn all of these vertical lines off and only use the buy and sell signals. Time Frames: While this script is most effective on shorter time frames (1 minute for scalping and daytrading) it is also viable to use it on longer timeframes, due to the nature of its components being independent of time frame. Examples of use - (Green and red vertical lines are for visualization purpose and are not part of the script) SPY 1 Minute (Factory Settings): SPX 15 minutes (Factory Settings): Considerations This script is meant primarily for short term trading, trades on the basis of seconds to minutes primarily. While they can be a good indication of volume lining up with momentum, it is always wise to use them in combination with other factors such as support, resistance, market structure, volume levels, or the many other techniques out there... As Always... Happy Trading. -Not_A_Mad_Scientist (GreatfulFutures Trade University)
Pine Script® göstergesi
not_a_mad_scientist tarafından
XRP Non-Stop Strategy (TP 25% / SL 15%)XRP Non-Stop Strategy (TP 25% / SL 15%) is a continuous long-side trading system designed specifically for XRP. The strategy uses an EMA-based trend filter (EMA20/EMA50) to confirm bullish conditions before entering a long position. Each trade applies a fixed +25% Take Profit target and a −15% Stop Loss, calculated dynamically from the entry price. When a trade closes—whether by TP or SL—the strategy automatically re-enters on the next qualifying signal, enabling uninterrupted position cycling. Features include: • EMA-based trend confirmation • Dynamic TP/SL visualization on the chart • Clear BUY and EXIT markers • Dedicated alert conditions for automation
Pine Script® stratejisi
antishyilma81 tarafından
Momentum Structural AnalysisMomentum Structural Analysis (MSA‑style Oscillator) This indicator implements a simple, MSA‑style momentum oscillator that measures how far price has moved above or below its own long‑term trend on the active timeframe, expressed in percentage terms. Instead of looking at raw price, it "oscillates" price around a timeframe‑appropriate simple moving average (SMA) and plots the percentage distance from that SMA as an orange line around a zero baseline. Zero means price is exactly at its structural trend; positive values mean price is extended above trend; negative values mean it is trading below trend. The script automatically selects the SMA length based on the chart timeframe: On daily charts it uses the configurable Daily SMA Length (default 252 trading days, roughly 1 year). On weekly charts it uses Weekly SMA Length (default 208 weeks). On monthly charts it uses Monthly SMA Length (default 120 months). This approach is inspired by the ideas behind Momentum Structural Analysis (MSA), which studies where a market trades relative to long‑term moving averages and then treats the momentum line (the oscillator) as the primary object of analysis. The goal is to highlight structural overbought/oversold conditions and regime changes that are often clearer on momentum than on the raw price chart. -------------------------------------------------- What the script computes and how it works For each bar, the indicator: Chooses an SMA length based on the current timeframe (daily/weekly/monthly). Calculates the SMA of the close. Computes the percentage distance: \text{Diff %} = \frac{\text{Close} - \text{SMA}}{\text{SMA}} \times 100 Plots this Diff % as an orange line, with a dashed horizontal zero line as the base. This produces a momentum oscillator that oscillates around zero and reflects the "structural" position of price versus its own long‑term mean. -------------------------------------------------- How to use it on index charts (e.g., NIFTY50) On indices like NIFTY50, use the indicator to see how stretched the index is versus its structural trend. Typical uses: Identify extremes: a). Historically high positive readings can signal euphoric, late‑stage conditions where risk is elevated. b). Deep negative readings can highlight panic/capitulation zones where downside may be exhausted. Draw structural levels: a). Mark horizontal bands on the oscillator where past turns have occurred (e.g., +15%, −10%, etc. specific to NIFTY50). b). Watch how price behaves when the oscillator revisits these zones: repeated rejections can validate them as structural bounds; clean breaks can indicate a change of regime. This is not a buy/sell signal generator by itself; it is a framework to understand where the index sits within its long‑term momentum structure and to support risk‑management decisions. -------------------------------------------------- How to use it on ratio charts Apply the same indicator to ratio symbols such as NIFTY50/GOLD, BANKNIFTY/NIFTY50, sector vs index, or any spread you plot as a ratio. On a ratio chart: The oscillator now measures relative momentum: how far that ratio is above or below its own long‑term mean. High positive readings = strong outperformance of the numerator vs the denominator (e.g., equities strongly outperforming gold). Deep negative readings = strong underperformance (e.g., equities structurally lagging gold). This is very much in the spirit of MSA’s work on spreads between asset classes: it helps visualize major rotations (equities → gold, financials → commodities, etc.) and whether a relative‑performance trend is stretched, reverting, or breaking into a new phase. -------------------------------------------------- Using multiple timeframes for better decisions You can stack information across timeframes to get a more robust view: Monthly : a). Use monthly charts to see secular/structural phases. b). Long multi‑year stretches above or below zero, and large bases or trendline breaks on the monthly oscillator, can mark major bull or bear cycles and big rotations between asset classes. Weekly : a). Use weekly charts for the primary trend. b). Weekly structures (multi‑month highs/lows, channels, or trendlines on the oscillator) are useful for medium‑term positioning and for confirming or rejecting signals seen on the monthly view. Daily : a). Use daily charts mainly for timing entries/exits once the higher‑timeframe direction is clear. b). Short‑term extremes on the daily oscillator that align with the larger weekly/monthly structure can offer better‑timed opportunities, while signals that contradict higher‑timeframe momentum are more likely to be noise. --------------------------------------------------
Pine Script® göstergesi
PrasadJoshi12 tarafından
Matt's 5m-15m-1h MACD Alignment Moment SignalsThis indicator for TradingView is designed to pinpoint the exact moment a high-probability, multi-timeframe trend alignment occurs. It provides specific, single-candle alerts ("buy" or "sell arrows) based on the simultaneous direction of three key timeframes. What the Indicator Does The indicator waits for the 1-hour, 15-minute, and 5-minute MACD indicators to all agree on the market's direction. Crucially, it only plots an arrow on the specific bar where this alignment first happens. It doesn't continuously show arrows while the trend is ongoing; it alerts you to the initiation point of the unified trend. How to Interpret the Signals The indicator provides two clear signals on your chart: Signal Color Action Interpretation Green Up Arrow Green Buy Signal The 1H, 15M, and 5M MACDs just aligned in a bullish direction simultaneously. This is a potential entry point for a long trade. Red Down Arrow Red Sell Signal The 1H, 15M, and 5M MACDs just aligned in a bearish direction simultaneously. This is a potential entry point for a short trade. Summary This tool helps an intraday trader identify market shifts where momentum across multiple timeframes converge, offering focused, timely trade entry signals. For best result only trade in the same direction as the 4 hour and 1 hour bias.
Pine Script® göstergesi
mattmattdmd tarafından
CT - Pro Buy/Sell Strategy - AdvancedBuy/Sell signal based on the following conditions Alerts: You can now create TradingView alerts for Buy/Sell signals. ATR Filter: Ensures trades only occur when volatility is above a threshold. Multi-Timeframe Confirmation : Checks higher timeframe trend alignment before entering trades. Backtesting Ready : Works with TradingView’s strategy tester. Add dynamic position sizing based on risk. Add trailing stop loss for better trade management. Add visual stop-loss/take-profit lines on chart. Add Alerts for real-time notifications. ATR-based volatility filter for smarter entries. Multi-timeframe confirmation (e.g., trend check on higher timeframe). Dynamic position sizing based on risk.
Pine Script® stratejisi
chris_taylor001 tarafından
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