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Morning Peak FadeMorning Peak Fade is an intraday analysis tool that identifies and measures the probability of early session rallies turning into sharp pullbacks. 📊 Core Idea • Many stocks surge after the open, reaching an intraday peak before fading lower. • This script anchors at the first significant morning high and tracks the drawdowns that follow within a customizable time window. • It provides: • Probability of a fade after the peak • Average and maximum drawdown statistics • Event-day hit rate (how often such setups occur) 🎯 Use Cases • Spot potential “fade setups” where early enthusiasm exhausts quickly. • Quantify how often chasing the morning high turns into a losing trade. • Backtest opening range failure or fade strategies with hard data. ⚙️ Features • Customizable thresholds for the initial surge (relative to prior close). • Marks the peak (max) and subsequent low (min) used in calculations. • Draws a reference line at the surge threshold to visualize when the fade triggers. • Outputs summary stats directly on the chart.
Wskaźnik Pine Script®
od Zach_Li
1
Premarket Power MovePremarket Power Move is an intraday research tool that tracks what happens after strong premarket or opening gaps. 📊 Core Idea • When a stock opens +X% above the prior close, it often attracts momentum traders. • This script measures whether the stock continues to follow through higher or instead fades back down within the first trading hour. • It calculates: • The probability of a post-gap rally vs. a drawdown • Average and maximum retracements after the surge • Event-day hit rate (how many days actually triggered the condition) 🎯 Use Cases • Identify “gap-and-go” opportunities where strong premarket strength leads to further gains. • Spot potential fade setups where early enthusiasm quickly reverses. • Backtest your intraday strategies with objective statistics instead of gut feeling. ⚙️ Features • Customizable thresholds for premarket/open surge (%) and follow-through window (minutes). • Marks the chart with reference lines: • Prior close • Surge threshold (e.g. +6%) • Intraday high/low used for probability calculations. • Outputs summary statistics (probabilities, averages, counts) directly on the chart. 🔔 Note This is not a buy/sell signal generator. It is a probability and behavior analysis tool that helps traders understand how often strong premarket gaps continue vs. fade.
Wskaźnik Pine Script®
od Zach_Li
1
Z-AxisZ-Axis is a new and unique indicator that can visualize volume. This indicator is all the stuff I used to do manually on charts. It shows where individual big bags of money are. It flags statistically significant volume by making a ray, higher volume will be different colors. Same color scheme as fire - white hot. Some people try to wonder what the "market maker" thinks or where did they buy. I personally think of the elusive "market maker" like a school of fish moving together. Squeeze the timeframe down to 1 minute, and you see all the fish that think the same way. Purple means that candle is in the top 7 standard deviations, or 7x. Red is 10x Orange is 15x Yellow is 20x White is 25x, and triggers an AVWAP. 25 Standard deviations is 99% followed by "9" for 137 decimal spaces... and it still triggers. ye ha. Once price has moved 2% against the opening of the candle, it's dimmed/liquidated. When this happens, that means that anyone who bought at that candle open at 50x leverage, they are now a ghost. Price is often drawn to "liquidity wells", visualized here as the black space between pivots.
Wskaźnik Pine Script®
od BearishDs
PongExperience PONG! The classic arcade game, now on your charts! With this indicator, you can finally achieve your lifelong dream of beating the Markets. . . at PONG! Pong is jam-packed with features! Such as: 2 Paddles A moving dot Floating numbers The idea of a net This indicator is solely a visualization, it serves simply as an exercise to depict what is capable through PineScript. It can be used to re-skin other indicators or data, but on its own, is not intended as a market indicator. With that out of the way... > PONG The Pong indicator is a recreation of the classic arcade game Pong developed to pit the markets against the cold hard logic of a CPU player. Given the lack of interaction that is capable, the game is not played in the typical sense, by a player and computer or 2 players. This version of Pong uses the chart price movements to control the "Market" Paddle, and it is contrasted by a (not AI) "CPU" Paddle, which is controlled by its own set of logic. > Market Paddle The Market Paddle is controlled by a data source which can be input by the user. By default (Auto Mode), the Market Paddle is controlled through a fixed length Donchian channel range, pinning the range high to 100 and range low to 0. As seen below. This can be altered to use data from different symbols or indicators, and can optionally be smoothed using multiple types of Moving Averages. In the chart below, you can see how the RSI indicator is imported and smoothed to control the Market Paddle. Note: The Market Paddle follows the moving average. If not desired, simply set the "Smoothing" input to "NONE". > CPU Paddle In simple terms, the CPU Paddle is a handicapped Aimbot. Its logic is, more or less, "move directly towards the ball's vertical location". If it were allowed to have full range of the screen, it would be impossible for it to lose a point. Due to this, we must slow it down to "play fair"... as fair as that may be. The CPU Paddle is allowed to move at a rate specified by a certain Percent of its vertical width. By default, this is set to 2%. Each update, the CPU Paddle can advance up or down 2% of its vertical width. The directional movement is determined based on the angle of the ball, and it's current position relative to the CPU Paddle's position. Given that it is not a direct follow, it may at times seem more... "human". When a point is scored, the CPU paddle maintains its position, similar to the original Pong game, the paddles were controlled solely by the raw output of the controllers and did not reset. > Ball At the start of each point, the ball begins at the center of the screen and moves in a randomly determined angle at its base speed. The direction is determined by the player who scored the last point. The loser of the last point "serves" the ball. Given the circumstances, serving is a gigantic advantage. So the loser serving is just another place where the Market is given an advantage. The ball's base speed is 1, it will move 1 (horizontal) bar on each update of the script. This speed can "technically" increase to infinity over time, if given the perfect rally. This is due to the hit logic as described below. Note: The minimum ball speed is also 1. > Bonk Math When the ball hits a paddle, essentially 3 outcomes can occur, each resulting in the ball's direction being changed from positive to negative. Action A: Its angle is doubled, and its speed is doubled. Action B: Its angle is reversed, and its speed is decreased if it is going faster than base speed. Action C: Its angle is preserved, and its speed is preserved. "Basic Bounce" Each paddle is segmented into 3 zones, with the higher and lower tips (20%) of the paddles producing special actions. The central 60% of each paddle produces a basic bounce. The special actions are determined by the trajectory of the ball and location on the paddle. > Custom Mode As stated above, the script loads in "Auto Mode" by default. While this works fine to simply watch the gameplay, the Custom Mode unlocks the ability to visualize countless possibilities of indicators and analyses playing Pong! In the chart below, we have set up the game to use the NYSE TICK Index as our Market Player. The NYSE TICK Index shows the number of NYSE stocks trading on an uptick minus those on a downtick. Its values fluctuate throughout the day, typically ranging between +1000 and -1000. Therefore, we have set up Pong to use Ticker USI:TICK and set the Upper Boundary to 1000 and Lower Boundary to -1000. With this method, the paddle is directly controlled by the overall (NYSE) market behaviors. As seen in a chart earlier, you can also take advantage of the Custom Mode to overlay Pong onto traditional oscillators for use anywhere! > Styles This version of Pong comes stocked with 5 colorways to suit your chart vibes! > Pro Tips & Additional Information - This game has sound! For the full experience, set alerts for this indicator and a notification sound will play on each hit!* *Due to server processing, the notification sounds are not precisely played at each hit. :( - In auto mode, decreasing the length used will give an advantage to the market, as its actions become more sporadic over this window. - The CPU logic system actually allows the market to have a "technical" edge, since the Market Paddle is not bound to any speed, and is solely controlled by the raw market movements/data input. - This type of visualization only works on live charts, charts without updates will not see any movement. - Indicator sources can only be imported from other indicators on the same chart. - The base screen resolution is 159 bars wide, with the height determined by the boundaries. - When using a symbol and an outside source, be mindful that the script is attempting to pull the source from the input symbol. Data can appear wonky when not considering the interactions of these inputs. There are many small interesting details that can't be seen through the description. For example, the mid-line is made from a box. This is because a line object would not appear on top of the box used for the screen. For those keen eye'd coders, feel free to poke around in the source code to make the game truly custom. Just remember: The market may never be fair, but now at least it can play Pong! Enjoy!
Wskaźnik Pine Script®
od SamRecio
2
Hosoda’s CloudsMany investors aim to develop trading systems with a high win rate, mistakenly associating it with substantial profits. In reality, high returns are typically achieved through greater exposure to market trends, which inevitably lowers the win rate due to increased risk and more volatile conditions. The system I present, called “Hosoda’s Clouds” in honor of Goichi Hosoda , the creator of the Ichimoku Kinko Hyo indicator, is likely one of the first profitable systems many traders will encounter. Designed to capture trends, it performs best in markets with clear directional movements and is less suitable for range-bound markets like Forex, which often exhibit lateral price action. This system is not recommended for low timeframes, such as minute charts, due to the random and emotionally driven nature of price movements in those periods. For a deeper exploration of this topic, I recommend reading my article “Timeframe is Everything”, which discusses the critical importance of selecting the appropriate timeframe. I suggest testing and applying the “Hosoda’s Clouds” strategy on assets with a strong trending nature and a proven track record of performance. Ideal markets include Tesla (1-hour, 4-hour, and daily), BTC/USDT (daily), SPY (daily), and XAU/USD (daily), as these have consistently shown clear directional trends over time. Commissions and Configuration Commissions can be adjusted in the system’s settings to suit individual needs. For evaluating the effectiveness of “Hosoda’s Clouds,” I’ve used a standard commission of $1 per order as a baseline, though this can be modified in the code to accommodate different brokers or preferences. The margin per trade is set to $1,000 by default, but users are encouraged to experiment with different margin settings in the configuration to match their trading style. Rules of the “Hosoda’s Clouds” System (Bullish Strategy) This strategy is designed to capture trending movements in bullish markets using the Ichimoku Kinko Hyo indicator. The rules are as follows: Long Entry: A long position is triggered when the Tenkan-sen crosses above the Kijun-sen below the Ichimoku cloud, identifying potential reversals or bounces in a bearish context. Stop Loss (SL): Placed at the low of the candle 12 bars prior to the entry candle. This setting has proven optimal in my tests, but it can be adjusted in the code based on risk tolerance. Take Profit (TP): The position is closed when the Tenkan-sen crosses below the bottom of the Ichimoku cloud (the minimum of Senkou Span A and Senkou Span B). Notes on the Code margin_long=0: Ideal for strategies requiring a fixed position size, particularly useful for manual entries or testing with a constant capital allocation. margin_long=100: Recommended for high-frequency systems where positions are closed quickly, simulating gradual growth based on realized profits and reflecting real-world broker constraints. System Performance The following performance metrics account for $1 per order commissions and were tested on the specified assets and timeframes: Tesla (H1) Trades: 148 Win Rate: 29.05% Period: Jan 2, 2014 – Jan 6, 2020 (+172%) Simple Annual Growth Rate: +34.3% Trades: 130 Win Rate: 30.77% Period: Jan 2, 2020 – Sep 24, 2025 (+858.90%) Simple Annual Growth Rate: +150.7% Tesla (H4) Trades: 102 Win Rate: 32.35% Period: Jun 29, 2010 – Sep 24, 2025 (+11,356.36%) Simple Annual Growth Rate: +758.5% Tesla (Daily) Trades: 56 Win Rate: 35.71% Period: Jun 29, 2010 – Sep 24, 2025 (+3,166.64%) Simple Annual Growth Rate: +211.5% BTC/USDT (Daily) Trades: 44 Win Rate: 31.82% Period: Sep 30, 2017 – Sep 24, 2025 (+2,592.23%) Simple Annual Growth Rate: +324.8% SPY (Daily) Trades: 81 Win Rate: 37.04% Period: Jan 23, 1993 – Sep 24, 2025 (+476.90%) Simple Annual Growth Rate: +14.3% XAU/USD (Daily) Trades: 216 Win Rate: 32.87% Period: Jan 6, 1833 – Sep 24, 2025 (+5,241.73%) Simple Annual Growth Rate: +27.1% SPX (Daily) Trades: 217 Win Rate: 38.25% Period: Feb 1, 1871 – Sep 24, 2025 (+16,791.02%) Simple Annual Growth Rate: +108.1% Conclusion With the “ Hosoda’s Clouds ” strategy, I aim to showcase the potential of technical analysis to generate consistent profits in trending markets, challenging recent doubts about its effectiveness. My goal is for this system to serve as both a practical tool for traders and a source of inspiration for the trading community I deeply respect. I hope it encourages the creation of new strategies, fosters creativity in technical analysis, and empowers traders to approach the markets with confidence and discipline.
Strategia Pine Script®
od Especulador96
2
AI - Gaussian Channel Strategy AI – Gaussian Channel Strategy is a long-only swing trading strategy designed for Bitcoin and other assets on daily charts. It combines an adaptive Gaussian Channel with Supertrend and Stochastic RSI filters to identify potential bullish breakouts or pullback entries. The channel defines trend direction and volatility, while the Stochastic RSI provides momentum confirmation. Positions are opened only when the price closes above the channel’s upper band under favorable momentum conditions, and are closed when the price crosses back below the band. This script is intended for educational and research purposes. Parameters such as poles, period length, ATR factor, and RSI settings can be adjusted to fit different markets and timeframes. Disclaimer: This script does not guarantee profits and should not be considered financial advice. Past performance is not indicative of future results. Trading involves risk, and you are solely responsible for your own decisions and outcomes.
Strategia Pine Script®
od infotrader
6
MTF-RISK [Module+]Description MTF-RISK is a futures risk management tool that calculates standardized position sizing across multiple CME micro contracts, anchored to higher-timeframe structure. By combining multi-timeframe reference levels with a contract-based dollar-per-point model, it allows traders to maintain consistent risk across different futures markets. Example: User has selected the 1H timeframe for the risk table. Once an hourly candle closes, the high and low of that completed hour are locked as reference boundaries. Lower timeframe candles (e.g., 1m, 5m, 15m) reference these established 1H boundaries to calculate: Distance in points from the current close to the HTF high or low. Corresponding dollar risk based on the user-defined Max Risk per Trade ($) setting. The risk table updates in real-time, showing the current stop distance, calculated contract size, and resulting risk in dollars for both upward and downward directions. Benefit: Traders always maintain a fixed dollar risk, regardless of intraday price movement, while using HTF structure as the anchor for accurate and consistent position sizing. 1. Higher Timeframe Anchor Always uses the last fully closed candle from the selected higher timeframe (default: 60m). Captures the prior HTF high and low as reference boundaries. Lower timeframe closers (e.g., 1m, 5m, 15m bars) reference these established HTF boundaries to measure stop distances and calculate risk. Use: Ensures all position sizing is tied to completed HTF structure, providing a consistent framework for intraday trades. 2. Risk Model Engine Traders define maximum dollar risk per trade. The system calculates allowable micro contracts based on stop distance (current close → HTF high/low). Supported contracts and their point values: MNQ (Micro Nasdaq 100): $2.00 per point MES (Micro S&P 500): $5.00 per point MYM (Micro Dow Jones): $0.50 per point MGC (Micro Gold): $10.00 per point Formula: Contracts = Max Risk ÷ (Stop Distance × TSE:VALUE per Point) Risk ↑: Based on distance to HTF high. Risk ↓: Based on distance to HTF low. Use: Provides consistent dollar risk sizing across different futures contracts and multiple intraday timeframes. 3. Risk Table Overlay Compact, real-time on-chart table with customizable styling. Columns: OP: Operation time (adjusted by user’s timezone offset). Points ↑ / ↓: Stop distances in points relative to HTF boundaries. Risk ↑ / ↓ ($): Dollar exposure at those stops. Micros ↑ / ↓: Allowable contract count. Asset: Displays selected futures contract in the header. Custom features: Independent text/background colors per column. Highlighted latest row for clarity. Adjustable outline, row colors, and text size. Use: Gives traders immediate insight into position sizing without leaving the chart. Intended Use: This is a risk visualization module, not a trade signal generator. Traders can use it to: Standardize risk sizing across multiple CME micro futures. Quickly evaluate trade setups relative to HTF structure. Measure stop distances from lower timeframe closes while referencing HTF boundaries. Maintain consistency in risk management regardless of the instrument traded. Limitations & Disclaimers: Calculations assume standard CME tick values for MNQ, MES, MYM, and MGC. Other markets may not align with these dollar-per-point values. This indicator does not predict direction, generate entries, or guarantee outcomes. For educational and informational purposes only. Trading involves risk; always use proper risk management. Closed-source (Protected): Logic is visible on charts, but source code is hidden.
Wskaźnik Pine Script®
od DGSTBROKERACC
Irrationality Index by CRYPTO_ADA_BTC"The market can be irrational longer than you can stay solvent" ~ John Maynard Keynes This indicator, the Irrationality Index, measures how far the current market price has deviated from a smoothed estimate of its "fair value," normalized for recent volatility. It provides traders with a visual sense of when the market may be behaving irrationally, without giving direct buy or sell signals. How it works: 1. Fair Value Calculation The indicator estimates a "fair value" for the asset using a combination of a long-term EMA (exponential moving average) and a linear regression trend over a configurable period. This fair value serves as a smoothed baseline for price, balancing trend-following and mean-reversion. 2. Volatility-Adjusted Z-Score The deviation between price and fair value is measured in standard deviations of recent log returns: Z = (log(price) - log(fairValue)) / volatility This standardization accounts for different volatility environments, allowing comparison across assets. 3. Irrationality Score (0–100) The Z-score is transformed using a logistic mapping into a 0–100 scale: - 50 → price near fair value (rational zone) - >75 → high irrationality, price stretched above fair value - >90 → extreme irrationality, unsustainable extremes - <25 → high irrationality, price stretched below fair value - <10 → extreme bearish irrationality 4. Price vs Fair Value (% deviation) The indicator plots the percentage difference between price and fair value: pctDiff = (price - fairValue) / fairValue * 100 - Positive values → Percentage above fair value (optimistic / overvalued) - Negative values → Percentage below fair value (pessimistic / undervalued) Visuals: - Irrationality (%) Line (0–100) shows irrationality level. - Background Colors: Yellow= high bullish irrationality, Green= extreme bullish irrationality, Orange= high bearish irrationality, Red= extreme bearish irrationality. - Price - FairValue (%) plot: price deviation vs fair value (%), Colored green above 0 and red below 0. - Label: display actual price, estimated fair value, and Z-score for the latest bar. - Alerts: configurable thresholds for high and extreme irrationality. How to read it: - 50 → Market trading near fair value. - >75 / >90 → Price may be irrationally high; risk of pullback increases. - <25 / <10 → Price may be irrationally low; potential rebound zones, but trends can continue. - Price - FairValue (%) plot → visual guide for % price stretch relative to fair value. Notes / Warnings: - Measures relative deviation, not fundamental value! - High irrationality scores do not automatically indicate trades; markets can remain can be irrational longer than you can stay solvent . - Best used with other tools: momentum, volume, divergence, and multi-timeframe analysis.
Wskaźnik Pine Script®
od CRYPTO_ADA_BTC
1
Volume ClusteringThis Volume Clustering script is a powerful tool for analyzing intraday trading dynamics by combining two key metrics: volume Z-Score and Cumulative Volume Delta (CVD). By categorizing market activity into distinct clusters, it helps you identify high-conviction trading opportunities and understand underlying market pressure. How It Works The script operates on a simple, yet effective, premise: it classifies each trading bar based on its statistical significance (volume Z-Score) and buying/selling pressure (CVD). Volume Z-Score The volume Z-Score measures how far the current bar's volume is from its average, helping to identify periods of unusually high or low volume. This metric is a powerful way to spot when institutional or large players might be entering the market. A high Z-Score suggests a significant event is taking place, regardless of direction. Cumulative Volume Delta (CVD) CVD tracks the net buying and selling pressure across different timeframes. The script uses a lower timeframe (e.g., 1-minute) and anchors it to a higher timeframe (e.g., 1-day) to capture intraday pressure. A positive CVD indicates more buying pressure, while a negative CVD suggests more selling pressure. Cluster Categories The script analyzes the confluence of these two metrics to assign a cluster to each bar, providing actionable insights. The clusters are color-coded and labeled to make them easy to interpret: 🟢 High Conviction Bullish: Unusually high volume (high Z-Score) combined with significant buying pressure (high CVD). This cluster suggests strong bullish momentum. 🔴 High Conviction Bearish: Unusually high volume (high Z-Score) coupled with significant selling pressure (low CVD). This cluster suggests strong bearish momentum. 🟡 Low Conviction/Noise: Low to moderate volume and mixed buying/selling pressure. This represents periods of indecision or consolidation, where market noise is more prevalent. 🟣 Other Clusters: The script also identifies other combinations, such as high volume with moderate CVD, or low volume with high CVD, which can provide additional context for understanding market dynamics. Key Features & Customization The script offers several customizable settings to tailor the analysis to your specific trading style: Z-Score Lookback Length: Adjust the lookback period for calculating the average volume. A shorter period focuses on recent volume trends, while a longer period provides a broader context. CVD Anchor & Lower Timeframe: Define the timeframes used for CVD calculation. You can anchor the analysis to a daily or weekly timeframe while using a lower timeframe (e.g., 1-minute) to capture granular intraday pressure. High/Low Volume Mode: Toggle between "High Volume" mode (which uses 90th and 10th percentiles for clustering) and "Low Volume" mode (which uses 75th and 25th percentiles). This allows you to choose whether to focus on extreme events or more subtle shifts in market sentiment.
Wskaźnik Pine Script®
od immediatePerso44773
Combined Cluster & Market StructureI barrowed code from the Mxwll Price Action Suite script as appreciated the structure in which the script defined structure, however I renamed variables and reduced the original script to define only the outer structure. I added volume and CVD clustering to define ranges and initiation market structures and add the ADX to assist with determining trend strength prior to labeling market structure breaks. Combined Cluster & Market Structure indicator, a powerful and comprehensive tool for technical analysis. This script integrates two core concepts to provide a holistic view of market dynamics: Z-Score Clustering & Volume Analysis: The indicator calculates Z-scores for both volume and Cumulative Volume Delta (CVD) to categorize market activity into six distinct clusters: High-Conviction Bullish/Bearish: Signals of strong directional momentum based on high volume and corresponding CVD. Effort vs. Result: High volume with moderate CVD, suggesting potential indecision or absorption. Quiet Accumulation/Distribution: Low-volume periods with strong CVD, often preceding major moves. Low Conviction/Noise: Represents periods of low market participation and weak signals. These clusters are visually marked on the chart to provide real-time insight into market sentiment. Market Structure Mapping: The indicator automatically detects and labels significant structural points to help you navigate price action. It identifies: Higher Highs (HH) and Lower Lows (LL) to show the primary trend direction. Breaks of Structure (BoS), indicating trend continuation. Changes of Character (CHoCH), signaling a potential trend reversal. Additionally, the script features consolidation box detection, which automatically highlights periods of low-conviction market activity, helping you avoid choppy, sideways markets. An integrated ADX filter ensures that structural breaks are only labeled during periods of strong trend strength, reducing false signals. I want to thank Mxwll Capital for their contribution to the Combined Cluster & Market Structure indicator.
Wskaźnik Pine Script®
od immediatePerso44773
5
Lead Levels TP/SL v1.3 (close-only entries)Lead Levels — close-only signals, clean execution Notice: Designed for BTC 15-minute charts only. What it shows Four reliability tiers: L1, L2, L3, L4. A black “DON’T BET” marker for extreme conditions you should skip. All triangles print only on bar close to avoid repaint. How to read ▲ BUY L1–L4: higher level → stronger confidence. ▼ SELL L1–L4: higher level → stronger confidence. DON’T BET (black): stand aside. No trade. How to trade it When a triangle prints, run a 1:1 target/stop: Long: TP +1%, SL −1%. Short: TP −1%, SL +1%. Focus on normal conditions. Skip when the black marker appears. One entry per signal. Keep sizing consistent. Why traders like it Close-only printing keeps charts honest. Simple 1:1 playbook. No guesswork.
Strategia Pine Script®
od xotjr8052
Pairs Trading Scanner [BackQuant]Pairs Trading Scanner What it is This scanner analyzes the relationship between your chart symbol and a chosen pair symbol in real time. It builds a normalized “spread” between them, tracks how tightly they move together (correlation), converts the spread into a Z-Score (how far from typical it is), and then prints clear LONG / SHORT / EXIT prompts plus an at-a-glance dashboard with the numbers that matter. Why pairs at all? Markets co-move. When two assets are statistically related, their relationship (the spread) tends to oscillate around a mean. Pairs trading doesn’t require calling overall market direction you trade the relative mispricing between two instruments. This scanner gives you a robust, visual way to find those dislocations, size their significance, and structure the trade. How it works (plain English) Step 1 Pick a partner: Select the Pair Symbol to compare against your chart symbol. The tool fetches synchronized prices for both. Step 2 Build a spread: Choose a Spread Method that defines “relative value” (e.g., Log Spread, Price Ratio, Return Difference, Price Difference). Each lens highlights a different flavor of divergence. Step 3 Validate relationship: A rolling Correlation checks if the pair is moving together enough to be tradable. If correlation is weak, the scanner stands down. Step 4 Standardize & score: The spread is normalized (mean & variability over a lookback) to form a Z-Score . Large absolute Z means “stretched,” small means “near fair.” Step 5 Signals: When the Z-Score crosses user-defined thresholds with sufficient correlation , entries print: LONG = long chart symbol / short pair symbol, SHORT = short chart symbol / long pair symbol, EXIT = mean reversion into the exit zone or correlation failure. Core concepts (the three pillars) Spread Method Your definition of “distance” between the two series. Guidance: Log Spread: Focuses on proportional differences; robust when prices live on different scales. Price Ratio: Classic relative value; good when you care about “X per Y.” Return Difference: Emphasizes recent performance gaps; nimble for momentum-to-mean plays. Price Difference: Straight subtraction; intuitive for similar-scale assets (e.g., two ETFs). Correlation A rolling score of co-movement. The scanner requires it to be above your Min Correlation before acting, so you’re not trading random divergence. Z-Score “How abnormal is today’s spread?” Positive = chart richer than pair; negative = cheaper. Thresholds define entries/exits with transparent, statistical context. What you’ll see on the chart Correlation plot (blue line) with a dashed Min Correlation guide. Above the line = green zone for signals; below = hands off. Z-Score plot (white line) with colored, dashed Entry bands and dotted Exit bands. Zero line for mean. Normalized spread (yellow) for a quick “shape read” of recent divergence swings. Signal markers : LONG (green label) when Z < –Entry and corr OK, SHORT (red label) when Z > +Entry and corr OK, EXIT (gray label) when Z returns inside the Exit band or correlation drops below the floor. Background tint for active state (faint green for long-spread stance, faint red for short-spread stance). The two built-in dashboards Statistics Table (top-right) Pair Symbol Your chosen partner. Correlation Live value vs. your minimum. Z-Score How stretched the spread is now. Current / Pair Prices Real-time anchors. Signal State NEUTRAL / LONG / SHORT. Price Ratio Context for ratio-style setups. Analysis Table (bottom-right) Avg Correlation Typical co-movement level over your window. Max |Z| The recent extremes of dislocation. Spread Volatility How “lively” the spread has been. Trade Signal A human-readable prompt (e.g., “LONG A / SHORT B” or “NO TRADE” / “LOW CORRELATION”). Risk Level LOW / MEDIUM / HIGH based on current stretch (absolute Z). Signals logic (plain English) Entry (LONG): The spread is unusually negative (chart cheaper vs pair) and correlation is healthy. Expect mean reversion upward in the spread: long chart, short pair. Entry (SHORT): The spread is unusually positive (chart richer vs pair) and correlation is healthy. Expect mean reversion downward in the spread: short chart, long pair. Exit: The spread relaxes back toward normal (inside your exit band), or correlation deteriorates (relationship no longer trusted). A quick, repeatable workflow 1) Choose your pair in context (same sector/theme or known macro link). Think: “Do these two plausibly co-move?” 2) Pick a spread lens that matches your narrative (ratio for relative value, returns for short-term performance gaps, etc.). 3) Confirm correlation is above your floor no corr, no trade. 4) Wait for a stretch (Z beyond Entry band) and a printed LONG / SHORT . 5) Manage to the mean (EXIT band) or correlation failure; let the scanners’ state/labels keep you honest. Settings that matter (and why) Spread Method Defines the “mispricing” you care about. Correlation Period Longer = steadier regime read, shorter = snappier to regime change. Z-Score Period The window that defines “normal” for the spread; it sets the yardstick. Use Percentage Returns Normalizes series when using return-based logic; keep on for mixed-scale assets. Entry / Exit Thresholds Set your stretch and your target reversion zone. Wider entries = rarer but stronger signals. Minimum Correlation The gatekeeper. Raising it favors quality over quantity. Choosing pairs (practical cheat sheet) Same family: two index ETFs, two oil-linked names, two gold miners, two L1 tokens. Hedge & proxy: stock vs. sector ETF, BTC vs. BTC index, WTI vs. energy ETF. Cross-venue or cross-listing: instruments that are functionally the same exposure but price differently intraday. Reading the cues like a pro Divergence shape: The yellow normalized spread helps you see rhythm fast spike and snap-back versus slow grind. Corr-first discipline: Don’t fight the “Min Correlation” line. Good pairs trading starts with a relationship you can trust. Exit humility: When Z re-centers, let the EXIT do its job. The edge is the journey to the mean, not overstaying it. Frequently asked (quick answers) “Long/Short means what exactly?” LONG = long the chart symbol and short the pair symbol. SHORT = short the chart symbol and long the pair symbol. “Do I need same price scales?” No. The spread methods normalize in different ways; choose the one that fits your use case (log/ratio are great for mixed scales). “What if correlation falls mid-trade?” The scanner will neutralize the state and print EXIT . Relationship first; trade second. Field notes & patterns Snap-back days: After a one-sided session, return-difference spreads often flag cleaner intraday mean reversions. Macro rotations: Ratio spreads shine during sector re-weights (e.g., value vs. growth ETFs); look for steady corr + elevated |Z|. Event bleed-through: If one symbol reacts to news and its partner lags, Z often flags a high-quality, short-horizon re-centering. Display controls at a glance Show Statistics Table Live state & key numbers, top-right. Show Analysis Table Context/risk read, bottom-right. Show Correlation / Spread / Z-Score Toggle the sub-charts you want visible. Show Entry/Exit Signals Turn markers on/off as needed. Coloring Adjust Long/Short/Neutral and correlation line colors to match your theme. Alerts (ready to route to your workflow) Pairs Long Entry Z falls through the long threshold with correlation above minimum. Pairs Short Entry Z rises through the short threshold with correlation above minimum. Pairs Trade Exit Z returns to neutral or the relationship fails your correlation floor. Correlation Breakdown Rolling correlation crosses your minimum; relationship caution. Final notes The scanner is designed to keep you systematic: require relationship (correlation), quantify dislocation (Z-Score), act when stretched, stand down when it normalizes or the relationship degrades. It’s a full, visual loop for relative-value trading that stays out of your way when it should and gets loud only when the numbers line up.
Wskaźnik Pine Script®
od BackQuant
1
FRANJAS POR FECHAS - RSDescription: This indicator allows you to highlight specific dates on your chart with vertical background stripes, similar to a session indicator. Input your dates in the format DD.MM.YYYY (you can separate them with commas, spaces, line breaks, or semicolons). The script automatically normalizes the format and applies a shaded vertical band for each matching day. Works on daily and intraday charts: in intraday, the shading will cover the full trading day. Options available to adjust the color and transparency of the stripes. Optional dotted lines can be enabled at the start and end of each highlighted day. This is useful for marking important events such as FOMC meetings, earnings releases, economic data announcements, or any custom list of key dates you want to track directly on your chart.
Wskaźnik Pine Script®
od ramonsegh
Japan Yen Carry Trade to Risk Ratio Sharpe Ratio By UncleBFMStep-by-Step Calculation in the ScriptFetch Rates:Pulls rates dynamically using request.security() from user-specified symbols (e.g., TVC:JP10Y for yen, TVC:US10Y for target). If unavailable (NA), uses fallback inputs (e.g., 0.25% for yen, 4.50% for target). Converts rates to decimals: (target_rate - yen_rate) / 100. Calculate Carry:Carry = (Target Rate - Yen Rate) / 100 Example: If US 10Y yield is 4.50% and Japan 10Y is 0.25%, carry = (4.50 - 0.25) / 100 = 0.0425 (4.25% annual yield). Calculate Daily Log Returns:Log Returns = ln(Close / Close ), where Close is the current price of the pair (e.g., USDJPY) and Close is the previous day's price. This measures daily percentage changes in a way suitable for volatility calculations. Calculate Annualized Volatility:Volatility = Standard Deviation of Log Returns over a lookback period (default 63 days, ~3 months) × √252. Example: If the standard deviation of USDJPY log returns is 0.005 (0.5% daily), annualized volatility = 0.005 × √252 ≈ 0.0794 (7.94%). Compute the Ratio:Ratio = Carry / Volatility Example: Using above, 0.0425 / 0.0794 ≈ 0.535. If volatility is zero, the ratio is set to NA to avoid division errors. Plot:Plots the ratio as a line, with optional thresholds (e.g., 0.2 for "high attractiveness") to guide interpretation. NotesDynamic Rates: Using bond yields (e.g., TVC:JP10Y) or policy rates (e.g., ECONOMICS:JPINTR) makes the indicator responsive to historical and current rate changes, unlike static inputs. Context: BIS reports use similar ratios to assess carry trade viability. For USDJPY in 2025, with Fed rates around 4.5% and BoJ at 0.25–0.5%, the carry is positive but sensitive to volatility spikes (e.g., during 2024 unwind events). Usage: Apply to a yen pair chart (e.g., USDJPY, AUDJPY). Adjust symbols for the target currency (e.g., TVC:AU10Y for AUD). The ratio helps compare carry trade profitability across pairs or over time.
Wskaźnik Pine Script®
od bitcoinfundmgr
Median + Tendência + ATR (Yehuda Nahmias)📊 Median + Trend + ATR (By Yehuda Nahmias) 🚀 The indicator that combines Simplicity, Accuracy, and Risk Management This script brings together three key pillars of professional trading: ✅ Dynamic Median → captures price midpoints and highlights reversal and breakout zones. ✅ Trend Filter (EMA) → ensures signals are aligned with the main market direction. ✅ Smart ADX + ATR → confirm trend strength and automatically calculate Stop Loss and Take Profit based on volatility. 🔔 How it works: Buy/Sell Arrows: automatically appear when price crosses the median under valid trend and strength conditions (ADX). Automatic Stops and Targets: SL and TP levels are plotted using ATR, ready for effective risk management. 3 Signal Modes: 🛡️ Conservative → fewer trades, stronger filtering. ⚖️ Standard → balance between frequency and accuracy. ⚡ Aggressive → more trades, captures shorter moves. 💡 Key Benefits: Clear visuals: colored candles + BUY/SELL arrows. Built-in risk management: position size is calculated based on % of equity. Flexible: works on any asset (Forex, Crypto, Indices, Stocks). 🔑 Private access only. If you’d like to use this strategy on your charts, contact me via my TradingView profile. 👉 Turn your analysis into objective signals and gain more confidence in your entries and exits!
Strategia Pine Script®
od britosilvadesign