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Previous Day Levels (High, Low, Open, Close)This TradingView Pine Script indicator plots the previous day’s price levels (High, Low, Open, and Close) as horizontal rays that extend across the current trading day. Green lines mark the Previous Day High and Previous Day Low. Yellow lines mark the Previous Day Open and Previous Day Close. Labels are automatically displayed at the right edge of the chart, positioned above each line, making it easy to identify the corresponding level in real time. The levels are updated daily and always begin at the start of the current day, ensuring that they cover the entire intraday session. This tool helps traders quickly visualize key support and resistance levels from the previous trading day and incorporate them into intraday strategies.
Pine Script® indicator
by jorgeadrianvigu
1
Volume Footprint Anomaly Scanner [PhenLabs]📊 PhenLabs - Volume Footprint Anomaly Scanner (VFAS) Version: PineScript™ v6 📌 Description The PhenLabs Volume Footprint Anomaly Scanner (VFAS) is an advanced Pine Script indicator designed to detect and highlight significant imbalances in buying and selling pressure within individual price bars. By analyzing a calculated "Delta" – the net difference between estimated buy and sell volume – and employing statistical Z-score analysis, VFAS pinpoints moments when buying or selling activity becomes unusually dominant. This script was created not in hopes of creating a "Buy and Sell" indicator but rather providing the user with a more in-depth insight into the intrabar volume delta and how it can fluctuate in unusual ways, leading to anomalies that can be capitalized on. This indicator helps traders identify high-conviction points where strong market participants are active, signaling potential shifts in momentum or continuation of a trend. It aims to provide a clearer understanding of underlying market dynamics, allowing for more informed decision-making in various trading strategies, from identifying entry points to confirming trend strength. 🚀 Points of Innovation ●​ Z-Score for Delta Analysis : Utilizes statistical Z-scores to objectively identify statistically significant anomalies in buying/selling pressure, moving beyond simple, arbitrary thresholds. ●​ Dynamic Confidence Scoring : Assigns a multi-star confidence rating (1-4 stars) to each signal, factoring in high volume, trend alignment, and specific confirmation criteria, providing a nuanced view of signal strength. ●​ Integrated Trend Filtering : Offers an optional Exponential Moving Average (EMA)-based trend filter to ensure signals align with the broader market direction, reducing false positives in ranging markets. ●​ Strict Confirmation Logic : Implements specific confirmation criteria for higher-confidence signals, including price action and a time-based gap from previous signals, enhancing reliability. ●​ Intuitive Info Dashboard : Provides a real-time summary of market trend and the latest signal's direction and confidence directly on the chart, streamlining information access. 🔧 Core Components ●​ Core Delta Engine : Estimates the net buying/selling pressure (bar Delta) by analyzing price movement within each bar relative to volume. It also calculates average volume to identify bars with unusually high activity. ●​ Anomaly Detection (Z-Score) : Computes the Z-score for the current bar's Delta, indicating how many standard deviations it is from its recent average. This statistical measure is central to identifying significant anomalies. ●​ Trend Filter : Utilizes a dual Exponential Moving Average (EMA) cross-over system to define the prevailing market trend (uptrend, downtrend, or range), providing contextual awareness. ●​ Signal Processing & Confidence Algorithm : Evaluates anomaly conditions against trend filters and confirmation rules, then calculates a dynamic confidence score to produce actionable, contextualized signal information. 🔥 Key Features ●​ Advanced Delta Anomaly Detection : Pinpoints bars with exceptionally high buying or selling pressure, indicating potential institutional activity or strong market conviction. ●​ Multi-Factor Confidence Scoring : Each signal comes with a 1-4 star rating, clearly communicating its reliability based on high volume, trend alignment, and specific confirmation criteria. ●​ Optional Trend Alignment : Users can choose to filter signals, so only those aligned with the prevailing EMA-defined trend are displayed, enhancing signal quality. ●​ Interactive Signal Labels : Displays compact labels on the chart at anomaly points, offering detailed tooltips upon hover, including signal type, direction, confidence, and contextual information. ●​ Customizable Bar Colors : Visually highlights bars with Delta anomalies, providing an immediate visual cue for strong buying or selling activity. ●​ Real-time Info Dashboard : A clean, customizable dashboard shows the current market trend and details of the latest detected signal, keeping key information accessible at a glance. ●​ Configurable Alerts : Set up alerts for bullish or bearish Delta anomalies to receive real-time notifications when significant market pressure shifts occur. 🎨 Visualization Signal Labels : * Placed at the top/bottom of anomaly bars, showing a "📈" (bullish) or "📉" (bearish) icon. * Tooltip: Hovering over a label reveals detailed information: Signal Type (e.g., "Delta Anomaly"), Direction, Confidence (e.g., "★★★☆"), and a descriptive explanation of the anomaly. * Interpretation: Clearly marks actionable signals and provides deep insights without cluttering the chart, enabling quick assessment of signal strength and context. ●​ Info Dashboard : * Located at the top-right of the chart, providing a clean summary. * Displays: "PhenLabs - VFAS" header, "Market Trend" (Uptrend/Downtrend/Range with color-coded status), and "Direction | Conf." (showing the last signal's direction and star confidence). * Optional "💡 Hover over signals for details" reminder. * Interpretation: A concise, real-time summary of the market's pulse and the most recent high-conviction event, helping traders stay informed at a glance. 📖 Usage Guidelines Setting Categories ⚙️ Core Delta & Volume Engine ●​ Minimum Volume Lookback (Bars) ○​ Default: 9 ○​ Range: Integer (e.g., 5-50) ○​ Description: Defines the number of preceding bars used to calculate the average volume and delta. Bars with volume below this average won't be considered for high-volume signals. A shorter lookback is more reactive to recent changes, while a longer one provides a smoother average. 📈 Anomaly Detection Settings Delta Z-Score Anomaly Threshold ○​ Default: 2.5 ○​ Range: Float (e.g., 1.0-5.0+) ○​ Description: The number of standard deviations from the mean that a bar's delta must exceed to be considered a significant anomaly. A higher threshold means fewer, but potentially stronger, signals. A lower threshold will generate more signals, which might include less significant events. Experiment to find the optimal balance for your trading style. 🔬 Context Filters Enable Trend Filter ○​ Default: False ○​ Range: Boolean (True/False) ○​ Description: When enabled, signals will only be generated if they align with the current market trend as determined by the EMAs (e.g., only bullish signals in an uptrend, bearish in a downtrend). This helps to filter out counter-trend noise. ●​ Trend EMA Fast ○​ Default: 50 ○​ Range: Integer (e.g., 10-100) ○​ Description: The period for the faster Exponential Moving Average used in the trend filter. In combination with the slow EMA, it defines the trend direction. ●​ Trend EMA Slow ○​ Default: 200 ○​ Range: Integer (e.g., 100-400) ○​ Description: The period for the slower Exponential Moving Average used in the trend filter. The relationship between the fast and slow EMA determines if the market is in an uptrend (fast > slow) or downtrend (fast < slow). 🎨 Visual & UI Settings ●​ Show Info Dashboard ○​ Default: True ○​ Range: Boolean (True/False) ○​ Description: Toggles the visibility of the dashboard on the chart, which provides a summary of market trend and the last detected signal. ●​ Show Dashboard Tooltip ○​ Default: True ○​ Range: Boolean (True/False) ○​ Description: Toggles a reminder message in the dashboard to hover over signal labels for more detailed information. ●​ Show Delta Anomaly Bar Colors ○​ Default: True ○​ Range: Boolean (True/False) ○​ Description: Enables or disables the coloring of bars based on their delta direction and whether they represent a significant anomaly. ●​ Show Signal Labels ○​ Default: True ○​ Range: Boolean (True/False) ○​ Description: Controls the visibility of the “📈” or “📉” labels that appear on the chart when a delta anomaly signal is generated. 🔔 Alert Settings ​ Alert on Delta Anomaly ○​ Default: True ○​ Range: Boolean (True/False) ○​ Description: When enabled, this setting allows you to set up alerts in TradingView that will trigger whenever a new bullish or bearish delta anomaly is detected. ✅ Best Use Cases ​ Early Trend Reversal / Continuation Detection: Identify strong surges of buying/selling pressure at key support/resistance levels that could indicate a reversal or the continuation of a strong move. ●​ Confirmation of Breakouts: Use high-confidence delta anomalies to confirm the validity of price breakouts, indicating strong conviction behind the move. ●​ Entry and Exit Points: Pinpoint precise entry opportunities when anomalies align with your trading strategy, or identify potential exhaustion signals for exiting trades. ●​ Scalping and Day Trading: The indicator’s sensitivity to intraday buying/selling imbalances makes it highly effective for short-term trading strategies. ●​ Market Sentiment Analysis: Gain a real-time understanding of underlying market sentiment by observing the prevalence and strength of bullish vs. bearish anomalies. ⚠️ Limitations Estimated Delta: The script uses a simplified method to estimate delta based on bar close relative to its range, not actual order book or footprint data. While effective, it’s an approximation. ●​ Sensitivity to Z-Score Threshold: The effectiveness heavily relies on the `Delta Z-Score Anomaly Threshold`. Too low, and you’ll get many false positives; too high, and you might miss valid signals. ●​ Confirmation Criteria: The 4-star confidence level’s “confirmation” relies on specific subsequent bar conditions and previous confirmed signals, which might be too strict or specific for all contexts. ●​ Requires Context: While powerful, VFAS is best used in conjunction with other technical analysis tools and price action to form a comprehensive trading strategy. It is not a standalone “buy/sell” signal. 💡 What Makes This Unique Statistical Rigor: The application of Z-score analysis to bar delta provides an objective, statistically-driven way to identify true anomalies, moving beyond arbitrary thresholds. ●​ Multi-Factor Confidence Scoring: The unique 1-4 star confidence system integrates multiple market dynamics (volume, trend alignment, specific follow-through) into a single, easy-to-interpret rating. ●​ User-Friendly Design: From the intuitive dashboard to the detailed signal tooltips, the indicator prioritizes clear and accessible information for traders of all experience levels. 🔬 How It Works 1. Bar Delta Calculation: ●​ The script first estimates the “buy volume” and “sell volume” for each bar. This is done by assuming that volume proportional to the distance from the low to the close represents buying, and volume proportional to the distance from the high to the close represents selling. ●​ How this contributes: This provides a proxy for the net buying or selling pressure (delta) within that specific price bar, even without access to actual footprint data. 2. Volume & Delta Z-Score Analysis: ●​ The average volume over a user-defined lookback period is calculated. Bars with volume less than twice this average are generally considered of lower interest. ●​ The Z-score for the calculated bar delta is computed. The Z-score measures how many standard deviations the current bar’s delta is from its average delta over the `Minimum Volume Lookback` period. ●​ How this contributes: A high positive Z-score indicates a bullish delta anomaly (significantly more buying than usual), while a high negative Z-score indicates a bearish delta anomaly (significantly more selling than usual). This identifies statistically unusual levels of pressure. 3. Trend Filtering (Optional): ●​ Two Exponential Moving Averages (Fast and Slow EMA) are used to determine the prevailing market trend. An uptrend is identified when the Fast EMA is above the Slow EMA, and a downtrend when the Fast EMA is below the Slow EMA. ●​ How this contributes: If enabled, the indicator will only display bullish delta anomalies during an uptrend and bearish delta anomalies during a downtrend, helping to confirm signals within the broader market context and avoid counter-trend signals. 4. Signal Generation & Confidence Scoring: ●​ When a delta Z-score exceeds the user-defined anomaly threshold, a signal is generated. ●​ This signal is then passed through a multi-factor confidence algorithm (`f_calculateConfidence`). It awards stars based on: high volume presence, alignment with the overall trend (if enabled), and a fourth star for very strong Z-scores (above 3.0) combined with specific follow-through candle patterns after a cooling-off period from a previous confirmed signal. ●​ How this contributes: Provides a qualitative rating (1-4 stars) for each anomaly, allowing traders to quickly assess the potential significance and reliability of the signal. 💡 Note: The PhenLabs Volume Footprint Anomaly Scanner is a powerful analytical tool, but it’s crucial to understand that no indicator guarantees profit. Always backtest and forward-test the indicator settings on your chosen assets and timeframes. Consider integrating VFAS with your existing trading strategy, using its signals as confirmation for entries, exits, or trend bias. The Z-score threshold is highly customizable; lower values will yield more signals (including potential noise), while higher values will provide fewer but potentially higher-conviction signals. Adjust this parameter based on market volatility and your risk tolerance. Remember to combine statistical insights from VFAS with price action, support/resistance levels, and your overall market outlook for optimal results.
Pine Script® indicator
by PhenLabs
2
Spot vs. Derivatives BasisThis indicator calculates the basis between average spot and average perpetual futures prices across selected exchanges. It helps identify deviations between spot and perp markets — a key signal for funding pressure, arbitrage, or market dislocation. Key Features: Manual Pair Control – Enable or disable specific trading pairs as needed Flexible Basis Smoothing – Apply SMA, EMA, WMA, or VWMA to filter noise Anomaly Highlighting – Automatically flags basis deviations beyond ±0.1%
Pine Script® indicator
by truenomic
Trading Checklist - DrFXAiTrading Checklist is a customizable indicator designed for traders who want to stay disciplined and stick to their trading rules. Using this indicator, you can easily create and display your own personalized checklist of trading rules directly on your TradingView chart. The Title and the Body are two different sections, so you can set two different styles. This indicator allows you to customize: Text color Text size Text alignment 🚀 Join the Pantheon of Profitable Traders 📩 Contact us on Telegram:👉 t.me
Pine Script® indicator
by DrFXAi
Support/Resistance MTF Merge ZonesIndicator Introduction Support/Resistance MTF Merge Zones is an advanced technical analysis tool that automatically identifies and merges key support/resistance zones by analyzing highs and lows from multiple timeframes (15M, 1H, 4H, Daily). Key Features Multi-Timeframe Analysis: Integrates data from 15M, 1H, 4H, and Daily charts Smart Zone Merging: Automatically consolidates levels within a specified percentage range into unified zones Dynamic Color System: Distinguishes support/resistance zones based on position relative to current price Strength Indication: Highlights zones where multiple levels converge as strong zones Usage Guide Configuration Parameters Lookback Period (10): Period for calculating highs/lows Adjustable range: 5-30 Higher values detect more long-term levels Zone Merge % (0.5): Percentage threshold for zone merging Range: 0.1-2.0% Higher values merge levels across wider price ranges Min Levels for Zone (2): Minimum number of levels required to form a zone Range: 2-5 levels Higher values display only more confirmed zones Box Opacity (7): Transparency level of zone boxes Range: 0-100% Color Scheme Red: Resistance zones above current price Blue: Support zones below current price Orange: Strong zones (3+ merged levels)
Pine Script® indicator
by RUpward
1
Hypothesis TF Strategy EvaluationThis script provides a statistical evaluation framework for trend-following strategies by examining whether mean returns (measured here as 1-period Rate of Change, ROC) differ significantly across different price quantile groups. Specifically, it: Calculates rolling 25th (Q1) and 75th (Q3) percentile levels of price over a user-defined window. Classifies returns into three groups based on whether price is above Q3, between Q1 and Q3, or below Q1. Computes mean returns and sample sizes for each group. Performs Welch's t-tests (which account for unequal variances) between groups to assess if their mean returns differ significantly. Displays results in two tables: Summary Table: Shows mean ROC and number of observations for each group. Hypothesis Testing Table: Shows pairwise t-statistics with significance stars for 95% and 99% confidence levels. Key Features Rolling quantile calculations: Captures local price distributions dynamically. Robust hypothesis testing: Welch's t-test allows for heteroskedasticity between groups. Significance indicators: Easy visual interpretation with "*" (95%) and "**" (99%) significance levels. Visual aids: Plots Q1 and Q3 levels on the price chart for intuitive understanding. Extensible and transparent: Fully commented code that emphasizes the evaluation process rather than trading signals. Important Notes Not a trading strategy: This script is intended as a tool for research and validation, not as a standalone trading system. Look-ahead bias caution: The calculation carefully avoids look-ahead bias by computing quantiles and ROC values only on past data at each point. Users must ensure look-ahead bias is removed when applying this or similar methods, as look-ahead bias would artificially inflate performance and statistical significance. The statistical tests rely on the assumption of independent samples, which might not fully hold in financial time series but still provide useful insights Usage Suggestions Use this evaluation framework to validate hypotheses about the behavior of returns under different price regimes. Integrate with your strategy development workflow to test whether certain market conditions produce statistically distinct return distributions. Example In this example, the script was run with a quantile length of 20 bars and a lookback of 500 bars for ROC classification. We consider a simple hypothetical "strategy": Go long if the previous bar closed above Q3 the 75th percentile). Go short if the previous bar closed below Q1 (the 25th percentile). Stay in cash if the previous close was between Q1 and Q3. The screenshot below demonstrates the results of this evaluation. Surprisingly, the "long" group shows a negative average return, while the "short" group has a positive average return, indicating mean reversion rather than trend following. The hypothesis testing table confirms that the only statistically significant difference (at 95% or higher confidence) is between the above Q3 and below Q1 groups, suggesting a meaningful divergence in their return behavior. This highlights how this framework can help validate or challenge intuitive assumptions about strategy performance through rigorous statistical testing.
Pine Script® indicator
by InvestorUnknown
BTC Breakout Bot (TP/SL + Alerts) 🚀This strategy targets Bitcoin (BTC/USDT) breakout trades by detecting price moves beyond recent highs and lows, with built-in risk management and alerts. How it works: 📈 Long Entry: When price breaks above the highest high of the last N candles (default 20) 📉 Short Entry: When price breaks below the lowest low of the last N candles 🎯 Take Profit: Automatically set at a percentage from entry price (default 5%) ⚠️ Stop Loss: Automatically set at a percentage from entry price (default 2%) 🔔 Alerts: Triggered on every long and short breakout trade, compatible with Telegram/webhook notifications Parameters: ⏳ Breakout Lookback: Number of candles used to identify breakout levels (default 20) 💰 Take Profit (%): Profit target as % from entry (default 5%) 🛑 Stop Loss (%): Maximum allowed loss as % from entry (default 2%)
Pine Script® strategy
by MEDUSA7
Simple SMA StrategyThis strategy uses two Simple Moving Averages (SMAs) to spot trend changes and generate trade signals on any market or timeframe. How it works: ➡️ Long Entry: When the fast SMA (default 14) crosses above the slow SMA (default 28), enter a long position. ⬇️ Short Entry: When the fast SMA crosses below the slow SMA, enter a short position. 🔄 Exit: Positions close when the opposite crossover happens, capturing trend reversals. Features: ⚙️ Adjustable SMA lengths for different markets or styles 💰 Position sizing as % of equity (default 1%) for risk management 📊 Plots fast (blue) and slow (orange) SMAs on the chart 🔔 Alerts on every long & short entry crossover for automation or notifications Use Cases: Perfect for trend-following traders in crypto, stocks, forex, and more — simple and effective. ⚠️ Disclaimer Backtests and alerts are based on historical data and don’t guarantee future results. Always test carefully and manage your risk!
Pine Script® strategy
by MEDUSA7
My strategyThis strategy is designed for BTC/USDT breakout trading on short-to-medium timeframes. It enters positions when price breaks out above recent highs or below recent lows, using automated risk management and alerts. 🔍 Core Logic Long entry: When price breaks above the highest high of the last N candles (default: 20). Short entry: When price breaks below the lowest low of the last N candles. This logic helps detect momentum-driven breakout moves based on recent price consolidation. ⚙️ Strategy Settings Capital: $10,000 Order size: 1% of equity per trade Commission: 0.1% per trade (simulating exchange fees) Slippage: 3 ticks (for realism) Take Profit: 3% from entry Stop Loss: 1.5% from entry These settings aim to provide realistic, risk-conscious backtest results, suitable for individual traders. 📊 Visual Features Green line = Breakout High Red line = Breakout Low Entry/exit markers are plotted on the chart 🔔 Alerts Alerts are integrated for: Long Entry Short Entry You can create TradingView alerts using this script to automate notifications or connect to external bots (e.g., via webhook for Telegram or Discord). 🧠 How This Strategy Is Different While many breakout bots use standard Donchian channels, this version allows you to: Tune the breakout sensitivity (via the adjustable lookback period) Customize TP/SL without external inputs Integrate alerts for real-time decision making or automation The simplicity and flexibility make it useful as both a live tool and a framework for further development. ⚠️ Disclaimer This script is for educational purposes only. Backtests are based on historical data and do not guarantee future results. Always test thoroughly before using in live trading. Risk only what you can afford to lose.
Pine Script® strategy
by MEDUSA7
Markov Chain Trend ProbabilityA Markov Chain is a mathematical model that predicts future states based on the current state, assuming that the future depends only on the present (not the past). Originally developed by Russian mathematician Andrey Markov, this concept is widely used in: Finance: Risk modeling, portfolio optimization, credit scoring, algorithmic trading Weather Forecasting: Predicting sunny/rainy days, temperature patterns, storm tracking Here's an example of a Markov chain: If the weather is sunny, the probability that will be sunny 30 min later is say 90%. However, if the state changes, i.e. it starts raining, how the probability that will be raining 30 min later is say 70% and only 30% sunny. Similar concept can be applied to markets price action and trends. Mathematical Foundation The core principle follows the Markov Property: P(X_{t+1}|X_t, X_{t-1}, ..., X_0) = P(X_{t+1}|X_t) Transition Matrix : -------------Next State Current---- --------P11 P12 -----P21 P22 Probability Calculations: P(Up→Up) = Count(Up→Up) / Count(Up states) P(Down→Down) = Count(Down→Down) / Count(Down states) Steady-state probability: π = πP (where π is the stationary distribution) State Definition: State = UPTREND if (Price_t - Price_{t-n})/ATR > threshold State = DOWNTREND if (Price_t - Price_{t-n})/ATR < -threshold How It Works in Trading This indicator applies Markov Chain theory to market trends by: Defining States: Classifies market conditions as UPTREND or DOWNTREND based on price movement relative to ATR (Average True Range) Learning Transitions: Analyzes historical data to calculate probabilities of moving from one state to another Predicting Probabilities: Estimates the likelihood of future trend continuation or reversal How to Use Parameters: Lookback Period: Number of bars to analyze for trend detection (default: 14) ATR Threshold: Sensitivity multiplier for state changes (default: 0.5) Historical Periods: Sample size for probability calculations (default: 33) Trading Applications: Trend confirmation for entry/exit decisions Risk assessment through probability analysis Market regime identification Early warning system for potential trend reversals The indicator works on any timeframe and asset class. Enjoy!
Pine Script® indicator
by HenriqueCentieiro
4
Clarix 5m Scalping Breakout StrategyPurpose A 5-minute scalping breakout strategy designed to capture fast 3-5 pip moves, using premium/discount zone filters and market bias conditions. How It Works The script monitors price action in 5-minute intervals, forming a 15-minute high and low range by tracking the highs and lows of the first 3 consecutive 5-minute candles starting from a custom time. In the next 3 candles, it waits for a breakout above the 15m high or below the 15m low while confirming market bias using custom equilibrium zones. Buy signals trigger when price breaks the 15m high while in a discount zone Sell signals trigger when price breaks the 15m low while in a premium zone The strategy simulates trades with fixed 3-5 pip take profit and stop loss values (configurable). All trades are recorded in a backtest table with live trade results and an automatically updated win rate. Features Designed exclusively for the 5-minute timeframe Custom 15-minute high/low breakout logic Premium, Discount, and Equilibrium zone display Built-in backtest tracker with live trade results, statistics, and win rate Customizable start time, take profit, and stop loss settings Real-time alerts on breakout signals Visual markers for trade entries and failed trades Consistent win rate exceeding 90–95% on average when following market conditions Usage Tips Use strictly on 5-minute charts for accurate signal performance. Avoid during high-impact news releases. Important: Once a trade is opened, manually set your take profit at +3 to +5 pips immediately to secure the move, as these quick scalps often hit the target within a single candle. This prevents missed exits during rapid price action.
Pine Script® indicator
by CLARIX_WEALTH
2