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VS Score [SpiritualHealer117]An experimental indicator that uses historical prices and readings of technical indicators to give the probability that stock and crypto prices will be in a certain range on the next close. This indicator may be helpful for options traders or for traders who want to see the probability of a move. It classifies returns into five categories: Extreme Rise - Over 2 standard deviations above normal returns Rise - Between 0.5 standard deviations and 2 standard deviations above normal returns Flat - Falling in the range of +/- 0.5 standard deviations of normal returns Fall - Between 0.5 standard deviations and 2 standard deviations below normal returns Extreme Fall - Over 2 standard deviations below normal returns It is an adaptive probability model, which trains on the previous 1000 data points, and is calculated by creating probability vectors for the current reading of the PPO, MA, volume histogram, and previous return, and combining them into one probability vector.
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spiritualhealer117 tarafından
3
Super EMA PrismThis script implements the Binary Trade Logic (BTL) algorithm to calculate two distinct scores that range from 0 to 7. One score is calculated assigning a power of 2 weight to the positive sign of 3 Phi^3 distant Moving Average (MA) slopes. The other score is calculated assigning a power of 2 weight to the sign of the difference between the price and the value of 3 Phi^3 distant Moving Average (MA). For the first score, hereafter called as the angle score (AS), the largest MA slope positive sign receives weight 4, the middle length MA slope positive sign receives weight 2 and the shortest MA slope positive sign receives weight 1. The positive sign of an MA is defined as 1 if the slope of the MA is positive and 0, otherwise. Therefore, for MAs 305, 72 and 17, if slope(MA305) > 0, slope(MA72) < 0 and slope(MA17) > 0, then score will be 4*1 + 2*0 + 1*1 = 5. Up to my knowledge, this score was first proposed by Bo Williams and named by him as Prisma. For the second score, hereafter called as the value score (VS), if the price > largest MA, it receives weight 4. If the price > the middle length MA, it receives weight 2 and if the price > the the shortest MA, it receives weight 1. Therefore, for MAs 305, 72 and 17, if price < MA305, price > MA72 and price > MA17, then score will be 4*0 + 2*1 + 1*1 = 3. Up to my knowledge, this score was first proposed by Bo Williams and named by him as Prisma. Both AS and VS are calculated for Phi^3 lengths (610, 144, 34) and for Phi^3/2 lengths (305, 72, 17). The scores of the same kind calculated for each set of length are combined multiplying the Phi^3 length score by 10 and adding with with the Phi^3/2 score, therefore providing a 2 digit score ranging from 0 to 77. For instance, if we have AS(610, 144, 34) = 7 and AS(305, 72, 17) = 5, we have AS=75. At the same time, if we have VS(610, 144, 34) = 6 and VS(305, 72, 17) = 4, we have VS=64. VS score is plotted by default in black, but it can be on white for dark themes. AS is plotted with the color of the longest MA used. Chart background is colored according to the range of values for AS and VS, checked in the following order: if AS >= 13 and VS <= 13 then back color = red if AS >= 13 or VS <= 13 then back color = orange if AS >= 64 and VS >= 64 then back color = green if AS >= 64 or VS >= 64 then back color = blue otherwise back color = none (white o black)
Pine Script® göstergesi
luyikaibr tarafından
Ichimoku Power Indicator# Ichimoku Power Indicator ## Overview The Ichimoku Power Indicator is an advanced tool that combines the traditional Ichimoku Cloud system with a unique power ranking mechanism. This indicator provides traders with a comprehensive view of market trends and potential reversal points, all while quantifying the strength of bullish and bearish signals. ## Key Features 1. **Full Ichimoku Cloud Visualization:** Displays all components of the Ichimoku Cloud system, including Conversion Line (Tenkan-sen), Base Line (Kijun-sen), Leading Span A and B (Kumo), and Lagging Span (Chikou Span). 2. **Power Ranking System:** Calculates and displays a bullish and bearish power score based on 11 different Ichimoku-derived conditions. 3. **Real-time Updates:** Power scores are updated in real-time as market conditions change. 4. **Easy-to-Read Display:** A clear, color-coded table shows the current bullish and bearish power scores. 5. **Customizable Parameters:** Allows adjustment of key Ichimoku settings to suit different trading styles and timeframes. ## How It Works The indicator evaluates 11 different conditions derived from Ichimoku Cloud components: 1. Cloud color 2. Price position relative to the cloud 3. Tenkan-sen vs Kijun-sen 4. Price vs Tenkan-sen 5. Price vs Kijun-sen 6. Tenkan-sen vs Cloud 7. Kijun-sen vs Cloud 8. Chikou Span vs Cloud 9. Chikou Span vs Tenkan-sen 10. Chikou Span vs Kijun-sen 11. Chikou Span vs Price Each bullish condition adds a point to the bullish power score, while each bearish condition adds a point to the bearish power score. The maximum score for each is 11. ## Interpretation - Higher bullish scores suggest stronger upward trends or potential bullish reversals. - Higher bearish scores indicate stronger downward trends or potential bearish reversals. - When scores are close, it may indicate a period of consolidation or uncertainty. ## Use Cases - Trend Confirmation: Use in conjunction with price action to confirm the strength of current trends. - Reversal Detection: Watch for changes in power scores as early indicators of potential trend reversals. - Entry and Exit Signals: High power scores can be used to identify optimal entry or exit points. - Market Analysis: Gain a quick overview of market conditions across multiple assets or timeframes. ## Note This indicator is designed to complement your existing trading strategy. Always use it in conjunction with other forms of analysis and proper risk management techniques. Experiment with different timeframes and settings to find the configuration that best suits your trading style and the assets you trade. Happy trading!
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atakhadivi tarafından
Price Divergence IndicatorThis Price Divergence Indicator indicator modifies the standard Divergence Indicator to look for price divergences between the current chart and any other selected TradingView chart. The thesis that this indicator is built upon: Prices on assets or indices that are normally correlated move in lock step. Where there are deviations between the confirmed highs or lows of two assets or indices it is likely that they will "catch up" in the near future. By default it will load the price data for the SPX and look for price divergences on the current chart timeframe. Any TradingView Symbol can be selected as the 'Comparison Source' and any timeframe. Some of the options I've been trying out include: SPX vs NDQ XAO vs SPX UK100 vs NDQM MSFT vs NDQM GOOG vs NDQM AMZN vs MSFT BTC vs ETH BTC vs NDQ BTC vs DXY I've found looking for divergences on a longer timeframe can be useful and don't expect any meaningful results if you set it to shorter than chart timeframes. Alerts can be created based on any of the divergences and the 'Backtest Buy Signal' can be used to send notification to a backtester (bull = 2, hidden bull = 1, neutral = 0, hidden bear = -1, bear = -2), this is plotted to display.none, so enable it in Settings - Style and disable all other plots to see it. Divergences are measured between the CONFIRMED peaks of the two charts. The confirmation timeframe is set using 'Pivot Lookback Right'. The lower the lookback the quicker the signal and the more likely it is to not have hit an actual peak, a higher lookback will give a much more dependable signal but the move may be finished by the time the alert actually fires. The "Plot When Alerts Fire" option should give you an idea (top and bottom triangles) of what to expect, but you should watch bar replays to understand how your setting will impact when alerts are created and potential false positives.
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EltAlt tarafından
8
Asset Premium/Discount Monitor📊 Overview The Asset Premium/Discount Monitor is a tool for analyzing the relative value between two correlated assets. It measures when one asset is trading at a premium or discount compared to its historical relationship with another asset, helping traders identify potential mean reversion opportunities, or pairs trading opportunities. 🎯 Use Cases Perfect for analyzing: NASDAQ:MSTR vs CRYPTO:BTCUSD - MicroStrategy's premium/discount to Bitcoin NASDAQ:COIN vs BITSTAMP:BTCUSD - Coinbase's relative value to Bitcoin NASDAQ:TSLA vs NASDAQ:QQQ - Tesla's premium to tech sector Regional banks AMEX:KRE vs AMEX:XLF - Individual bank stocks vs financial sector Any two correlated assets where relative value matters Example of a trade: MSTR vs BTC - When indicator shows MSTR at 95% percentile (extreme premium): Short MSTR, Buy BTC. Then exit when the spread reverts to the mean, say 40-60% percentile. 🔧 How It Works Core Calculation Ratio Analysis: Calculates the price ratio between your asset and the correlated asset Historical Baseline: Establishes the "normal" relationship using a 252-day moving average. You can change this. Premium Measurement: Measures current deviation from historical average as a percentage Statistical Context: Provides percentile rankings and standard deviation bands The Math Premium % = (Current Ratio / Historical Average Ratio - 1) × 100 🎨 Customization Options Correlated Asset: Choose any symbol for comparison Lookback Period: Adjust historical baseline (50-1000 days) Smoothing: Reduce noise with moving average (1-50 days) Visual Toggles: Show/hide bands and percentile lines Color Themes: Customize premium/discount colors 📊 Interpretation Guide Premium/Discount Reading Positive %: Asset trading above historical relationship (premium) Negative %: Asset trading below historical relationship (discount) Near 0%: Asset at fair value relative to correlation Percentile Ranking 90%+: Near recent highs - potential selling opportunity 10% and below: Near recent lows - potential buying opportunity 25-75%: Normal trading range Signal Classifications 🔴 SELL PREMIUM: Asset expensive relative to recent range 🟡 Premium Rich: Moderately expensive, monitor for reversal ⚪ NEUTRAL: Fair value territory 🟡 Discount Opportunity: Moderately cheap, potential accumulation zone 🟢 BUY DISCOUNT: Asset cheap relative to recent range 🚨 Built-in Alerts Extreme Premium Alert: Triggers when percentile > 95% Extreme Discount Alert: Triggers when percentile < 5% ⚠️ Important Notes Works best with highly correlated assets Historical relationships can change - monitor correlation strength Not investment advice - use as one factor in your analysis Backtest thoroughly before implementing any strategy 🔄 Updates & Future Features This indicator will be continuously improved based on user feedback. So... please give me your feedback!
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HenriqueCentieiro tarafından
SynchroTrend Oscillator (STO) [PhenLabs]📊 SynchroTrend Oscillator Version: PineScript™ v5 📌 Description The SynchroTrend Oscillator (STO) is a multi-timeframe synchronization tool that combines trend information from three distinct timeframes into a single, easy-to-interpret oscillator ranging from -100 to +100. This indicator solves the common problem of having to analyze multiple timeframe charts separately by consolidating trend direction and strength across different time horizons. The STO helps traders identify when markets are truly synchronized across timeframes, potentially indicating stronger trend conditions and higher probability trading opportunities. Using either Moving Average crossovers or RSI analysis as the trend definition metric, the STO provides a comprehensive view of market structure that adapts to various trading strategies and market conditions. 🚀 Points of Innovation Triple-timeframe synchronization in a single view eliminates chart switching Dual trend detection methods (MA vs Price or RSI) for flexibility across different markets Dynamic color intensity that automatically increases with signal strength Scaled oscillator format (-100 to +100) for intuitive trend strength interpretation Customizable signal thresholds to match your risk tolerance and trading style Visual alerts when markets reach full synchronization states 🔧 Core Components Trend Scoring System: Calculates a binary score (+1, -1, or 0) for each timeframe based on selected metrics, providing clear trend direction Multi-Timeframe Synchronization: Combines and scales trend scores from all three timeframes into a single oscillator Dynamic Visualization: Adjusts color transparency based on signal strength, creating an intuitive visual guide Threshold System: Provides customizable levels for identifying potentially significant trading opportunities 🔥 Key Features Triple Timeframe Analysis: Synchronizes three user-defined timeframes (default: 60min, 15min, 5min) into one view Dual Trend Detection Methods: Choose between Moving Average vs Price or RSI-based trend determination Adjustable Signal Smoothing: Apply EMA, SMA, or no smoothing to the oscillator output for your preferred signal responsiveness Dynamic Color Intensity: Colors become more vibrant as signal strength increases, helping identify strongest setups Customizable Thresholds: Set your own buy/sell threshold levels to match your trading strategy Comprehensive Alerts: Six different alert conditions for crossing thresholds, zero line, and full synchronization states 🎨 Visualization Oscillator Line: The main line showing the synchronized trend value from -100 to +100 Dynamic Fill: Area between oscillator and zero line changes transparency based on signal strength Threshold Lines: Optional dotted lines indicating buy/sell thresholds for visual reference Color Coding: Green for bullish synchronization, red for bearish synchronization 📖 Usage Guidelines Timeframe Settings Timeframe 1: Default: 60 (1 hour) - Primary higher timeframe for trend definition Timeframe 2: Default: 15 (15 minutes) - Intermediate timeframe for trend definition Timeframe 3: Default: 5 (5 minutes) - Lower timeframe for trend definition Trend Calculation Settings Trend Definition Metric: Default: “MA vs Price” - Method used to determine trend on each timeframe MA Type: Default: EMA - Moving Average type when using MA vs Price method MA Length: Default: 21 - Moving Average period when using MA vs Price method RSI Length: Default: 14 - RSI period when using RSI method RSI Source: Default: close - Price data source for RSI calculation Oscillator Settings Smoothing Type: Default: SMA - Applies smoothing to the final oscillator Smoothing Length: Default: 5 - Period for the smoothing function Visual & Threshold Settings Up/Down Colors: Customize colors for bullish and bearish signals Transparency Range: Control how transparency changes with signal strength Line Width: Adjust oscillator line thickness Buy/Sell Thresholds: Set levels for potential entry/exit signals ✅ Best Use Cases Trend confirmation across multiple timeframes Finding high-probability entry points when all timeframes align Early detection of potential trend reversals Filtering trade signals from other indicators Market structure analysis Identifying potential divergences between timeframes ⚠️ Limitations Like all indicators, can produce false signals during choppy or ranging markets Works best in trending market conditions Should not be used in isolation for trading decisions Past performance is not indicative of future results May require different settings for different markets or instruments 💡 What Makes This Unique Combines three timeframes in a single visualization without requiring multiple chart windows Dynamic transparency feature that automatically emphasizes stronger signals Flexible trend definition methods suitable for different market conditions Visual system that makes multi-timeframe analysis intuitive and accessible 🔬 How It Works 1. Trend Evaluation: For each timeframe, the indicator calculates a trend score (+1, -1, or 0) using either: MA vs Price: Comparing close price to a moving average RSI: Determining if RSI is above or below 50 2. Score Aggregation: The three trend scores are combined and then scaled to a range of -100 to +100 A value of +100 indicates all timeframes show bullish conditions A value of -100 indicates all timeframes show bearish conditions Values in between indicate varying degrees of alignment 3. Signal Processing: The raw oscillator value can be smoothed using EMA, SMA, or left unsmoothed The final value determines line color, fill color, and transparency settings Threshold levels are applied to identify potential trading opportunities 💡 Note: The SynchroTrend Oscillator is most effective when used as part of a comprehensive trading strategy that includes proper risk management techniques. For best results, consider using the oscillator in conjunction with support/resistance levels, price action analysis, and other complementary indicators that align with your trading style.
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PhenLabs tarafından
OverUnder Yield Spread🗺️ OverUnder is a structural regime visualizer , engineered to diagnose the shape, tone, and trajectory of the yield curve. Rather than signaling trades directly, it informs traders of the world they’re operating in. Yield curve steepening or flattening, normalizing or inverting — each regime reflects a macro pressure zone that impacts duration demand, liquidity conditions, and systemic risk appetite. OverUnder abstracts that complexity into a color-coded compression map, helping traders orient themselves before making risk decisions. Whether you’re in bonds, currencies, crypto, or equities, the regime matters — and OverUnder makes it visible. 🧠 Core Logic Built to show the  slope and intent of a selected rate pair, the OverUnder Yield Spread defaults to 🇺🇸US10Y-US2Y, but can just as easily compare global sovereign curves or even dislocated monetary systems. This value is continuously monitored and passed through a debounce filter to determine whether the curve is: • Inverted, or • Steepening If the curve is flattening below zero: the world is bracing for contraction. Policy lags. Risk appetite deteriorates. Duration gets bid, but only as protection. Stocks and speculative assets suffer, regardless of positioning. 📍 Curve Regimes in Bull and Bear Contexts • Flattening occurs when the short and long ends compress . In a bull regime, flattening may reflect long-end demand or fading growth expectations. In a bear regime, flattening often precedes or confirms central bank tightening. • Steepening indicates expanding spread . In a bull context, this may signal healthy risk appetite or early expansion. In a bear or crisis context, it may reflect aggressive front-end cuts and dislocation between short- and long-term expectations. • If the curve is steepening above zero: the world is rotating into early expansion. Risk assets behave constructively. Bond traders position for normalization. Equities and crypto begin trending higher on rising forward expectations. 🖐️ Dynamically Colored Spread Line Reflects 1 of 4 Regime States • 🟢 Normal / Steepening — early expansion or reflation • 🔵 Normal / Flattening — late-cycle or neutral slowdown • 🟠 Inverted / Steepening — policy reversal or soft landing attempt • 🔴 Inverted / Flattening — hard contraction, credit stress, policy lag 🍋 The Lemon Label At every bar, an anchored label floats directly on the spread line. It displays the active regime (in plain English) and the precise spread in percent (or basis points, depending on resolution). Colored lemon yellow, neither green nor red, the label is always legible — a design choice to de-emphasize bias and center the data . 🎨 Fill Zones These bands offer spatial, persistent views of macro compression or inversion depth. • Blue fill appears above the zero line in normal (non-inverted) conditions • Red fill appears below the zero line during inversion 🧪 Sample Reading: 1W chart of TLT OverUnder reveals a multi-year arc of structural inversion and regime transition. From mid-2021 through late 2023, the spread remains decisively inverted, signaling persistent flattening and credit stress as bond prices trended sharply lower. This prolonged inversion aligns with a high-volatility phase in TLT, marked by lower highs and an accelerating downtrend, confirming policy lag and macro tightening conditions. As of early 2025, the spread has crossed back above the zero baseline into a “Normal / Steepening” regime (annotated at +0.56%), suggesting a macro inflection point. Price action remains subdued, but the shift in yield structure may foreshadow a change in trend context — particularly if follow-through in steepening persists. 🎭 Different Traders Respond Differently: • Bond traders monitor slope change to anticipate policy pivots or recession signals. • Equity traders use regime shifts to time rotations, from growth into defense, or from contraction into reflation. • Currency traders interpret curve steepening as yield compression or divergence depending on region. • Crypto traders treat inversion as a liquidity vacuum — and steepening as an early-phase risk unlock. 🛡️ Can It Compare Different Bond Markets? Yes — with caveats. The indicator can be used to compare distinct sovereign yield instruments, for example: • 🇫🇷FR10Y vs 🇩🇪DE10Y - France vs Germany • 🇯🇵JP10Y vs 🇺🇸US10Y - BoJ vs Fed policy curves However: 🙈 This no longer visualizes the domestic yield curve, but rather the  differential between rate expectations across regions 🙉 The interpretation of “inversion” changes — it reflects spread compression across nations , not within a domestic yield structure 🙊 Color regimes should then be viewed as  relative rate positioning , not absolute curve health 🙋🏻 Example: OverUnder compares French vs German 10Y yields 1. 🇫🇷 Change the long-duration ticker to FR10Y 2. 🇩🇪 Set the short-duration ticker to DE10Y 3. 🤔 Interpret the result as: “How much higher is France’s long-term borrowing cost vs Germany’s?” You’ll see steepening when the spread rises (France decoupling), flattening when the spread compresses (convergence), and inversions when Germany yields rise above France’s — historically rare and meaningful. 🧐 Suggested Use OverUnder is not a signal engine — it’s a context map. Its value comes from situating any trade idea within the prevailing yield regime. Use it before entries, not after them. • On the 1W timeframe, OverUnder excels as a macro overlay. Yield regime shifts unfold over quarters, not days. Weekly structure smooths out rate volatility and reveals the true curvature of policy response and liquidity pressure. Use this view to orient your portfolio, define directional bias, or confirm long-duration trend turns in assets like TLT, SPX, or BTC. • On the 1D timeframe, the indicator becomes tactically useful — especially when aligning breakout setups or trend continuations with steepening or flattening transitions. Daily views can also identify early-stage regime cracks that may not yet be visible on the weekly. • Avoid sub-daily use unless you’re anchoring a thesis already built on higher timeframe structure. The yield curve is a macro construct — it doesn’t oscillate cleanly at intraday speeds. Shorter views may offer clarity during event-driven spikes (like FOMC reactions), but they do not replace weekly context. Ultimately, OverUnder helps you decide: What kind of world am I trading in? Use it to confirm macro context, avoid fighting the curve, and lean into trades aligned with the broader pressure regime.
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TheLeadingIndicator tarafından
See inside Candles: Directionality %; Constituent Bars & GapsSee inside candles based on user-input LTF setting: get data on 'Directionality' of your candle; Gaps (total and Sum; UP and DOWN); Number of Bull or Bear constituent candles //Features: -DIRECTIONALITY: compare length of the 'zig-zag' random walk of lower time frame constituent candles, to the full height of the current candle. Resulting % I refer to as 'directionality'. -GAPs: what i refer to as 'gaps' are also known as Volume imbalances: the gap between previous candles close and current candle's open (if there is one). --Gaps total (up vs down gaps). Number of Up gaps printed above bar in green, down gaps printed below bar in red. --Gaps Sum (total summed UP gap, total summed down gaps. Sum of Up gaps printed above bar in green, Sum of down gaps printed below bar in red. -Candles Total: Numer of LTF up vs down candles within current timeframe candle. Number of up candles printed above bar in green, Number of down candles printed below bar in red. //USAGE: -Primary purpose in this was the Directionality aspect. Wanted to get a measure of how choppy vs how directional the internals of a candle were. Idea being that a candle with high % directionality (approaching 100) would imply trending conditions; while a candle which was large range and full bodies but had a low % directionality would imply the internals were back-and-forth and => rebalanced, potentially indicating price may not need to retrace back into it and rebalance further. All rather experimental, please treat it as such: have a play around with it. -Number of gaps, Sums of up and down gaps, ratio of up and down constituent candles also intended to serve a similar purpose as the above. -Set the input lower timeframe; this must obviously be lower then your current timeframe. You will significant differences in results depending on the ratio your timeframes (chart timeframe vs user-input timeframe). //User Inputs: -Lower timeframe input (setting child candle size within current chart parent candle). -Choose function from the four listed above. -typical formating options: Bull color/bear color txt for gaps functions. -display % unit or not. -display vertical or horizontal text. -Set min / max directionality thresholds; and color code results. -Toggle on/off 'hide results outside of threshold' to declutter the chart. -choose label style. //NOTES: -Directionality thresholds can be set manually; Max and Min thresholds can be set to filter out 'non-extreme' readings. -Note that directionality % can sometimes exceed 100%, in cases where price trends very strongly and gaps up continuously such that sum of constituent candles is less than total range of parent candle. -Personally i like the idea of seeking bold, large-range, full bodied candles, with a lower than typical directionality %; indicating that a price move is both significant and it's already done it's rebalancing; I would see this as potentially favourable for continuation (obviously depending on context). ---- Showcase of the other functions beyond Directionality percentage ---- Candles Total (bull vs Bear). ES1! Hourly; ltf = 5min: Candles total: LTF up candles and LTF down candles making up the current HTF candle (constituent number of UP candles printed above in green, Down candles printed below in red): Gaps SUM. SPX hourly, ltf = 5min. Sum of 'UP' gaps within candle printed above in green, sum of 'DOWN' gaps printed below in red: Gaps TOTAL: SPX hourly, ltf = 1min. Simply the total of 'up' gaps vs 'down' gaps withing our candle; based on the user input constituent candles within:
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twingall tarafından
4
Correlation Coefficient: Visible Range Dynamic Average R -Correlation Coefficient with Dynamic Average R (shows R average for the visible chart only, changes as you zoom in or out) -Label: Vis-Avg-R = Visable Average R -the Correlation Coefficient function for Pearson's R is taken from "BA🐷 CC" indicator by @balipour (highly recommended; more thorough treatment of R and other stats, but without the dynamic average) -I wrote this primarily to add a dynamic Average R, showing correlation for arbitrary start times/end times; whether it be the last month, last year, of some specific period from the past (backtest mode) -I have been using this to get an idea of correlation regimes over time between Bonds vs Stocks (ZB1! vs ES1!). -As you see from the above, most of 2022 has seen an unusually strong positive correlation between Bonds and Stocks ~~inputs: -lookback length for calculation of R -Backtest mode (true by default): displays Average R for ONLY the visible range displayed on any part of chart history (LHS to RHS of screen only) -source for both Ticker and compared Asset (close, open, high, low, ohlc4.. etc) ~~some other assets worth comparing: Aussie vs Gold; Aussie vs ES; Btc vs ES; Copper vs ES
Pine Script® göstergesi
twingall tarafından
3
Spread AnalysisSpread Analysis - Futures vs Spot Price Analysis Advanced spread analysis tool that compares futures/perp prices with spot prices across multiple exchanges, providing insights into market sentiment and potential trading opportunities. Multi-Asset Support: Automatically detects and analyzes crypto perpetual vs spot spreads, index futures vs cash indices (ES/SPX, NQ/NDX, YM/DJI), and commodity futures vs spot prices (GC/GOLD, CL/USOIL) Multi-Exchange Aggregation: For crypto, aggregates prices from Binance, BitMEX, Kraken, Bybit, OKX, and Coinbase to calculate mean perp and spot prices Z-Score Based Alerts: Uses statistical Z-score analysis to identify extreme spread conditions that may signal potential reversals or continuation patterns Visual Histogram Display: Shows spread differences as colored columns - green for futures premium, red for futures discount Flexible Calculation Methods: Supports absolute price differences, percentage spreads, or basis point calculations Trading Applications: Identify market sentiment divergence, spot potential reversal opportunities, and confirm trend strength Risk Management: Use extreme Z-scores to identify overvalued conditions and potential mean reversion setups Market Analysis: Understand the relationship between futures and spot markets across different asset classes Timing Tool: Spread momentum often precedes price moves, providing early signals for entry/exit decisions Perfect for traders who want to understand the relationship between futures and spot markets, identify divergences, and spot potential reversal opportunities across crypto, indices, and commodities. Key Features: • Automatic asset detection and appropriate spread calculation • Configurable Z-score alerts for extreme conditions • Comprehensive tooltips and information guide • Multiple calculation methods (absolute, percentage, basis points) • Clean, customizable visual display Use Cases: • Crypto traders analyzing perp vs spot relationships • Futures traders monitoring basis relationships • Mean reversion strategies using extreme spreads • Trend confirmation using spread momentum • Market sentiment analysis across asset classes
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mindyourbuisness tarafından
AMF_LibraryLibrary "AMF_Library" Adaptive Momentum Flow (AMF) Library - A comprehensive momentum oscillator that adapts to market volatility @author B3AR_Trades f_ema(source, length)   Custom EMA calculation that accepts a series length   Parameters:      source (float) : (float) Source data for calculation      length (float) : (float) EMA length (can be series)   Returns: (float) EMA value f_dema(source, length)   Custom DEMA calculation that accepts a series length   Parameters:      source (float) : (float) Source data for calculation      length (float) : (float) DEMA length (can be series)   Returns: (float) DEMA value f_sum(source, length)   Custom sum function for rolling sum calculation   Parameters:      source (float) : (float) Source data for summation      length (int) : (int) Number of periods to sum   Returns: (float) Sum value get_average(data, length, ma_type)   Get various moving average types for fixed lengths   Parameters:      data (float) : (float) Source data      length (simple int) : (int) MA length      ma_type (string) : (string) MA type: "SMA", "EMA", "WMA", "DEMA"   Returns: (float) Moving average value calculate_adaptive_lookback(base_length, min_lookback, max_lookback, volatility_sensitivity)   Calculate adaptive lookback length based on volatility   Parameters:      base_length (int) : (int) Base lookback length      min_lookback (int) : (int) Minimum allowed lookback      max_lookback (int) : (int) Maximum allowed lookback      volatility_sensitivity (float) : (float) Sensitivity to volatility changes   Returns: (int) Adaptive lookback length get_volatility_ratio()   Get current volatility ratio   Returns: (float) Current volatility ratio vs 50-period average calculate_volume_analysis(vzo_length, smooth_length, smooth_type)   Calculate volume-based buying/selling pressure   Parameters:      vzo_length (int) : (int) Lookback length for volume analysis      smooth_length (simple int) : (int) Smoothing length      smooth_type (string) : (string) Smoothing MA type   Returns: (float) Volume analysis value (-100 to 100) calculate_amf(base_length, smooth_length, smooth_type, signal_length, signal_type, min_lookback, max_lookback, volatility_sensitivity, medium_multiplier, slow_multiplier, vzo_length, vzo_smooth_length, vzo_smooth_type, price_vs_fast_weight, fast_vs_medium_weight, medium_vs_slow_weight, vzo_weight)   Calculate complete AMF oscillator   Parameters:      base_length (int) : (int) Base lookback length      smooth_length (simple int) : (int) Final smoothing length      smooth_type (string) : (string) Final smoothing MA type      signal_length (simple int) : (int) Signal line length      signal_type (string) : (string) Signal line MA type      min_lookback (int) : (int) Minimum adaptive lookback      max_lookback (int) : (int) Maximum adaptive lookback      volatility_sensitivity (float) : (float) Volatility adaptation sensitivity      medium_multiplier (float) : (float) Medium DEMA length multiplier      slow_multiplier (float) : (float) Slow DEMA length multiplier      vzo_length (int) : (int) Volume analysis lookback      vzo_smooth_length (simple int) : (int) Volume analysis smoothing      vzo_smooth_type (string) : (string) Volume analysis smoothing type      price_vs_fast_weight (float) : (float) Weight for price vs fast DEMA      fast_vs_medium_weight (float) : (float) Weight for fast vs medium DEMA      medium_vs_slow_weight (float) : (float) Weight for medium vs slow DEMA      vzo_weight (float) : (float) Weight for volume analysis component   Returns: (AMFResult) Complete AMF calculation results calculate_amf_default()   Calculate AMF with default parameters   Returns: (AMFResult) AMF result with standard settings amf_oscillator()   Get just the main AMF oscillator value with default parameters   Returns: (float) Main AMF oscillator value amf_signal()   Get just the AMF signal line with default parameters   Returns: (float) AMF signal line value is_overbought(overbought_level)   Check if AMF is in overbought condition   Parameters:      overbought_level (float) : (float) Overbought threshold (default 70)   Returns: (bool) True if overbought is_oversold(oversold_level)   Check if AMF is in oversold condition   Parameters:      oversold_level (float) : (float) Oversold threshold (default -70)   Returns: (bool) True if oversold bullish_crossover()   Detect bullish crossover (main line crosses above signal)   Returns: (bool) True on bullish crossover bearish_crossover()   Detect bearish crossover (main line crosses below signal)   Returns: (bool) True on bearish crossover AMFResult   AMF calculation results   Fields:      main_oscillator (series float) : The main AMF oscillator value (-100 to 100)      signal_line (series float) : The signal line for crossover signals      dema_fast (series float) : Fast adaptive DEMA value      dema_medium (series float) : Medium adaptive DEMA value      dema_slow (series float) : Slow adaptive DEMA value      volume_analysis (series float) : Volume-based buying/selling pressure (-100 to 100)      adaptive_lookback (series int) : Current adaptive lookback length      volatility_ratio (series float) : Current volatility ratio vs average
Pine Script® kütüphanesi
B3AR_Trades tarafından
AllMA Trend Radar [trade_lexx]📈 AllMA Trend Radar is your universal trend analysis tool! 📊 What is AllMA Trend Radar? AllMA Trend Radar is a powerful indicator that uses various types of Moving Averages (MA) to analyze trends and generate trading signals. The indicator allows you to choose from more than 30 different types of moving averages and adjust their parameters to suit your trading style. 💡 The main components of the indicator 📈 Fast and slow moving averages The indicator uses two main lines: - Fast MA (blue line): reacts faster to price changes - Slow MA (red line): smoother, reflects a long-term trend The combined use of fast and slow MA allows you to get trend confirmation and entry/exit points from the market. 🔄 Wide range of moving averages There are more than 30 types of moving averages at your disposal: - SMA: Simple moving average - EMA: Exponential moving average - WMA: Weighted moving average - DEMA: double exponential MA - TEMA: triple exponential MA - HMA: Hull Moving Average - LSMA: Moving average of least squares - JMA: Eureka Moving Average - ALMA: Arnaud Legoux Moving Average - ZLEMA: moving average with zero delay - And many others! 🔍 Indicator signals 1️⃣ Fast 🆚 Slow MA signals (intersection and ratio of fast and slow MA) Up/Down signals (intersection) - Buy (Up) signal: - What happens: the fast MA crosses the slow MA from bottom to top - What does the green triangle with the "Buy" label under the candle look like - What does it mean: a likely upward trend reversal or an uptrend strengthening - Sell signal (Down): - What happens: the fast MA crosses the slow MA from top to bottom - What does it look like: a red triangle with a "Sell" mark above the candle - What does it mean: a likely downtrend reversal or an increase in the downtrend Greater/Less signals (ratio) - Buy signal (Greater): - What happens: the fast MA becomes higher than the slow MA - What does it look like: a green triangle with a "Buy" label under the candle - What does it mean: the formation or confirmation of an uptrend - Sell signal (Less): - What happens: the fast MA becomes lower than the slow MA - What does it look like: a red triangle with a "Sell" mark above the candle - What does it mean: the formation or confirmation of a downtrend 2️⃣ Signals ⚡️ Fast MA (fast MA and price) Up/Down signals (intersection) - Buy signal (Up Fast): - What happens: the price crosses the fast MA from bottom to top - What does it look like: a green triangle with a "Buy" label under the candle - What does it mean: a short-term price growth signal - Sell signal (Down Fast): - What happens: the price crosses the fast MA from top to bottom - What does it look like: a red triangle with a "Sell" label above the candle - What does it mean: a short-term price drop signal Greater/Less signals (ratio) - Buy signal (Greater Fast): - What happens: the price is getting higher than the fast MA - What does it look like: a green triangle with a "Buy" label under the candle - What does it mean: the price is above the fast MA, which indicates an upward movement - Sell signal (Less Fast): - What happens: the price is getting lower than the fast MA - What does it look like: a red triangle with a "Sell" mark above the candle - What does it mean: the price is under the fast MA, which indicates a downward movement 3️⃣ Signals 🐢 Slow MA (slow MA and price) Up/Down signals (intersection) - Buy signal (Up Slow): - What happens: the price crosses the slow MA from bottom to top - What does it look like: a green triangle with a "Buy" label under the candle - What does it mean: a potential medium-term upward trend reversal - Sell signal (Down Slow): - What happens: the price crosses the slow MA from top to bottom - What does it look like: a red triangle with a "Sell" label above the candle - What does it mean: a potential medium-term downward trend reversal Greater/Less signals (ratio) - Buy signal (Greater Slow): - What happens: the price is getting above the slow MA - What does it look like: a green triangle with a "Buy" label under the candle - What does it mean: the price is above the slow MA, which indicates a strong upward movement - Sell signal (Less Slow): - What is happening: the price is getting below the slow MA - What does it look like: a red triangle with a "Sell" mark above the candle - What does it mean: the price is under the slow MA, which indicates a strong downward movement 🛠 Filters to filter out false signals 1️⃣ Minimum distance between the signals - What it does: sets the minimum number of candles between signals of the same type - Why it is needed: it prevents the appearance of too frequent signals, especially during periods of high volatility - How to set it up: Set a different value for each signal type (default: 3-5 bars) - Example: if the value is 3 for Up/Down signals, after the buy signal appears, the next buy signal may appear no earlier than 3 bars later 2️⃣ Advanced indicator filters 🔍 RSI Filter - What it does: Checks the Relative Strength Index (RSI) value before generating a signal - Why it is needed: it helps to avoid countertrend entries and catch reversal points - How to set up: - For buy signals (🔋 Buy): set the RSI range, usually in the oversold zone (for example, 1-30) - For sell signals (🪫 Sell): set the RSI range, usually in the overbought zone (for example, 70-100) - Example: if the RSI = 25 (in the range 1-30), the buy signal will be confirmed 📊 MFI Filter (Cash Flow Index) - What it does: analyzes volumes and the direction of price movement - Why it is needed: confirms signals with data on the activity of cash flows - How to set up: - For buy signals (🔋 Buy): set the MFI range in the oversold zone (for example, 1-25) - For sell signals (🪫 Sell): set the MFI range in the overbought zone (for example, 75-100) - Example: if MFI = 80 (in the range of 75-100), the sell signal will be confirmed 📈 Stochastic Filter - What it does: analyzes the position of the current price relative to the price range - Why it is needed: confirms signals based on overbought/oversold conditions - How to configure: - You can configure the K Length, D Length and Smoothing parameters - For buy signals (🔋 Buy): set the stochastic range in the oversold zone (for example, 1-20) - For sell signals (🪫 Sell): set the stochastic range in the overbought zone (for example, 80-100) - Example: if stochastic = 15 (is in the range of 1-20), the buy signal will be confirmed 🔌 Connecting to trading strategies The indicator provides various connectors to connect to your trading strategies.: 1️⃣ Individual connectors for each type of signal - 🔌Fast vs Slow Up/Down MA Signal🔌: signals for the intersection of fast and slow MA - 🔌Fast vs Slow Greater/Less MA Signal🔌: signals of the ratio of fast and slow MA - 🔌Fast Up/Down MA Signal🔌: signals of the intersection of price and fast MA - 🔌Fast Greater/Less MA Signal🔌: signals of the ratio of price and fast MA - 🔌Slow Up/Down MA Signal🔌: signals of the intersection of price and slow MA - 🔌Slow Greater/Less MA Signal🔌: Price versus slow MA signals 2️⃣ Combined connectors - 🔌Combined Up/Down MA Signal🔌: combines all the crossing signals (Up/Down) - 🔌Combined Greater/Less MA Signal🔌: combines all the signals of the ratio (Greater/Less) - 🔌Combined All MA Signals🔌: combines all signals (Up/Down and Greater/Less) ❗️ All connectors return values: - 1: buy signal - -1: sell signal - 0: no signal 📚 How to start using AllMA Trend Radar 1️⃣ Selection of types of moving averages - Add an indicator to the chart - Select the type and period for the fast MA (default: DEMA with a period of 14) - Select the type and period for the slow MA (default: SMA with a period of 14) - Experiment with different types of MA to find the best combination for your trading style 2️⃣ Signal settings - Turn on the desired signal types (Up/Down, Greater/Less) - Set the minimum distance between the signals - Activate and configure the necessary filters (RSI, MFI, Stochastic) 3️⃣ Checking on historical data - Analyze how the indicator works based on historical data - Pay attention to the accuracy of the signals and the presence of false alarms - Adjust the settings if necessary 4️⃣ Introduction to the trading strategy - Decide which signals will be used to enter the position. - Determine which signals will be used to exit the position. - Connect the indicator to your trading strategy through the appropriate connectors 🌟 Practical application examples Scalping strategy - Fast MA: TEMA with a period of 8 - Slow MA: EMA with a period of 21 - Active signals: Fast MA Up/Down - Filters: RSI (range 1-40 for purchases, 60-100 for sales) - Signal spacing: 3 bars Strategy for day trading - Fast MA: TEMA with a period of 10 - Slow MA: SMA with a period of 20 - Active signals: Fast MA Up/Down and Fast vs Slow Greater/Less - Filters: MFI (range 1-25 for purchases, 75-100 for sales) - Signal spacing: 5 bars Swing Trading Strategy - Fast MA: DEMA with a period of 14 - Slow MA: VWMA with a period of 30 - Active signals: Fast vs Slow Up/Down and Slow MA Greater/Less - Filters: Stochastic (range 1-20 for purchases, 80-100 for sales) - Signal spacing: 8 bars A strategy for positional trading - Fast MA: HMA with a period of 21 - Slow MA: SMA with a period of 50 - Active signals: Slow MA Up/Down and Fast vs Slow Greater/Less - Filters: RSI and MFI at the same time - The distance between the signals: 10 bars 💡 Tips for using AllMA Trend Radar 1. Select the types of MA for market conditions: - For trending markets: DEMA, TEMA, HMA (fast MA) - For sideways markets: SMA, WMA, VWMA (smoothed MA) - For volatile markets: KAMA, AMA, VAMA (adaptive MA) 2. Combine different types of signals: - Up/Down signals work better when moving from a sideways trend to a directional one - Greater/Less signals are optimal for fixing a stable trend 3. Use filters effectively: - The RSI filter works great in trending markets - MFI filter helps to confirm the strength of volume movement - Stochastic filter works well in lateral ranges 4. Adjust the minimum distance between the signals: - Small values (2-3 bars) for short-term trading - Average values (5-8 bars) for medium-term trading - Large values (10+ bars) for long-term trading 5. Use combination connectors: - For more reliable signals, connect the indicator through the combined connectors 💰 With the AllMA Trend Radar indicator, you get a universal trend analysis tool that can be customized for any trading style and timeframe. The combination of different types of moving averages and advanced filters allows you to significantly improve the accuracy of signals and the effectiveness of your trading strategy!
Pine Script® göstergesi
trade_lexx tarafından
Seasonality - Session Performance - Morning Afternoon EveningUse this indicator on Intraday Timeframe. Higher the timeframe, more the data This script calculates the performance of an instrument for different sessions. Session inputs can be updated to study performance of - Morning vs Afternoon vs Evening - Pre-Market vs Market vs Post-Market (provided the data feed supports pre and post market) - Overnight vs Intraday Three session inputs are provided to tweak the session range Performance is calculated as session close / session open - 1 Session timeframes can be set for various countries. Make sure the session timeframe aligns with the Candle open/close for the timeframe you choose. Some examples below US Markets: 0930-1130 1130-1430 1430-1630 Timeframe 1 hour India Markets: 0915-1030 1030-1415 1415-15:30 Timeframe 75min
Pine Script® göstergesi
ILuvMarkets tarafından
16
TASC 2022.10 RS VA EMA█ OVERVIEW TASC's October 2022 edition Traders' Tips includes the second part of the "​Relative Strength Moving Averages" article series authored by Vitali Apirine. This is the code that implements the ​Relative Strength Volume-Adjusted ​Exponential Moving Average (​RS VA ​EMA) presented in this publication. █ CONCEPTS In his article series, the author argues that the relative strength of price, ​volume, and ​volatility can potentially be used to filter price movements and define turning points. In particular, the ​RS VA ​​EMA indicator is designed to account for the ​relative strength of ​volume. Like the traditional ​ exponential moving average (​EMA) , it is a lagging trend-following indicator. The difference is that it responds more quickly. In a trading strategy, ​​RS VA ​EMA is suggested to be used in combination with ​​EMA of the same length to determine the overall trend or in combination with ​RS VA ​EMA of a different length to identify turning points and filter price movements. █ CALCULATIONS The calculation of ​RS VA ​EMA is based on the concept of ​volume strength (VS). By definition, VS measures the difference between "positive" and "negative" ​volume flow. ​Volume is indicated as "positive" when the close is higher than the previous close and "negative" when the close is below the previous close. The following steps are used in the calculation process: • Calculate the ​volume strength (VS) of a given length. • Multiply VS by a predefined multiplier and calculate the ​EMA of the resulting time series. The values of 10,10,10 are the typical input settings for ​RS VA ​EMA, where the first parameter is the length of the moving average, the second is the length of VS, and the third is the ​volume strength multiplier.
Pine Script® göstergesi
PineCodersTASC tarafından
2
Strategy Oil Z ScoreObjective is to find forward looking indicators to find good entries into major index's. In similar vein to my Combo Z Score script I have implemented one looking at oil and oil volatility. Interestingly the script out performs WITHOUT applying the EMA in longer timeframes but under performs in shorter timeframes, for example 2007 vs 2019. Likely due to the bullish nature of the past decade (by and large). You have some options on the underlying included Oil vs OVX (Best), MOVE vs OVX and VIX vs OVX. Oil vs OVX out performs Combo Z Script. Favours Spy over QQQ or derivations (SPXL etc).
Pine Script® stratejisi
jroche1973 tarafından
GBTC holdings USD market valueThis script estimates GBTC bitcoins per share, rather than hardcoding as in other scripts. Its result is an estimate of GBTC holdings USD market value. Per share bitcoin estimates are adjusted by 2.0% / 365 per day from 2019 year end holdings. Calendar year 2019 ending bitcoins and shares were 261,192 bitcoins and 269,445,300 shares. From the 2019 Form 10-K: 'The Trust’s only ordinary recurring expense is the Sponsor’s Fee. The Sponsor’s Fee accrues daily in U.S. dollars at an annual rate of 2.0% of the Bitcoin Holdings.. The Sponsor’s Fee is payable in Bitcoins to the Sponsor monthly in arrears.' No attempt is made to account for leap years. Per share bitcoin estimate is converted to USD market value by multiplying by the simple average BTCUSD price at Coinbase and Bitstamp. Grayscale uses the TradeBlock XBX index, a volume weighted average of Coinbase Pro, Kraken, LMAX Digital and Bitstamp prices. Spot checks vs archive.org captures of daily bitcoins per share and the chart on Grayscale's site: The estimate for market close January 22 2021 is 0.00094899 bitcoins per share, the published datum on Grayscale's web site was 0.00094898. The estimate matches at 20:30 rather than at 16:00. The estimate for December 31 2018 is 0.000988965 vs a published 0.00098895. The estimate for December 29 2017 market value is $14.58 vs $14.65. The estimate for December 30 2016 market value is $0.99 vs $0.98. The estimate for January 4 2016 market value is $0.46 vs $0.45. No estimates before 2016. The default style is to draw a blue line with two thirds transparency outside market hours and for first/last minutes of trading, switching to daily or greater periodicity hides this. No warranty is expressed or implied , I am not a lawyer, etc etc etc. This is not investing advice . Always do your own due diligence .
Pine Script® göstergesi
busgus tarafından
1
Market Internals [Makit0] MARKET INTERNALS INDICATOR v0.5beta Market Internals are suitable for day trade equity indices, named SPY or /ES, please do your own research about what they are and how to use them This scripts plots the NYSE market internals charts as an indicator for an easy and full visualization of market internal structure all in one chart, useful for SPY and /ES trading Description of the Market Internals - TICK: NYSE stocks ticking up vs stocks ticking down, extreme values may point to trend continuation on trending days or reversal in non trending days, example of extreme values can be 800 and 1000 - ADD: NYSE stocks going up vs stocks going down, if price auctions around the zero line may be a non trend day, otherwise may be a trend day - VOLD: NYSE volume of stocks up vs volume of stocks going down, identify clearly where the volume is going, as example if volume is flowing down may be a good idea no to place longs - TRIN: NYSE up stocks vs down stocks ratio divided by up volume vs down volume ratio. A value of 1 indicates parity, below that the strength is on the long side, above the strength is in the short side. A basic use of market internals may be looking for divergences, for example: - /ES is trading in a range but ADD and VOLD are trending up nonstop, may /ES will break the range to the upside - /ES is trading in a range and ADD and VOLD are trading around the zero line but got an extreme reading on TICK, may be a non trending day and the TICK extreme reading is at one of the extremes of the /ES range, may be a good probability trade to fade that move - /ES is trading in a trend to the downside, ADD and VOLD too, you catch a good portion of the move but are fearful to flat and miss more gains, you see in the TICK a lot of extreme values below -800 so your're confident in the continuation of the downtrend, until the TICK goes beyond -1000 and you use that signal to go flat Market internals give you context and confirmation, price in /ES may be trending but if market internals do not confirm the move may a reversal is on its way Price is an advertise, you can see the real move in the structure below, in the behavior of the individual components of the market, those are the real questions: - How many stocks are going up/down (ADD) - How many volume is flowing up/down (VOLD) - How many stocks are ticking up/down (TICK) - What is the overall volume breath of the market (TRIN) FEATURES: - Plot one of the four basic market internal indices: TICK, ADD, VOLD and TRIN - Show labels with values beyond an user defined threshold - Show ZERO line - Show user defined Dotted and Dashed lines - Show user defined moving average SETTINGS: - Market internal: ticker to plot in the indicator, four options to choose from (TICK, ADD, VOLD and TRIN) - Labels threshold: all values beyond this will be ploted as labels - Dot lines at: two dotted lines will be plotted at this value above and below the zero line - Dash lines at: two dashed lines will be plotted at this value above and below the zero line - MA type: two options avaiable SMA (Simple Moving Average) or EMA (Exponential Moving Average) - MA length: number of bars to calculate the moving average - Show zero line: show or hide zero line - Show dot line: show or hide dotted lines - Show dash line: show or hide dashed lines - Show labels: show or hide labels GOOD LUCK AND HAPPY TRADING
Pine Script® göstergesi
makit0 tarafından
21
Multi-Confluence Swing Hunter V1# Multi-Confluence Swing Hunter V1 - Complete Description Overview The Multi-Confluence Swing Hunter V1 is a sophisticated low timeframe scalping strategy specifically optimized for MSTR (MicroStrategy) trading. This strategy employs a comprehensive point-based scoring system that combines optimized technical indicators, price action analysis, and reversal pattern recognition to generate precise trading signals on lower timeframes. Performance Highlight: In backtesting on MSTR 5-minute charts, this strategy has demonstrated over 200% profit performance, showcasing its effectiveness in capturing rapid price movements and volatility patterns unique to MicroStrategy's trading behavior. The strategy's parameters have been fine-tuned for MSTR's unique volatility characteristics, though they can be optimized for other high-volatility instruments as well. ## Key Innovation & Originality This strategy introduces a unique **dual scoring system** approach: - **Entry Scoring**: Identifies swing bottoms using 13+ different technical criteria - **Exit Scoring**: Identifies swing tops using inverse criteria for optimal exit timing Unlike traditional strategies that rely on simple indicator crossovers, this system quantifies market conditions through a weighted scoring mechanism, providing objective, data-driven entry and exit decisions. ## Technical Foundation ### Optimized Indicator Parameters The strategy utilizes extensively backtested parameters specifically optimized for MSTR's volatility patterns: **MACD Configuration (3,10,3)**: - Fast EMA: 3 periods (vs standard 12) - Slow EMA: 10 periods (vs standard 26) - Signal Line: 3 periods (vs standard 9) - **Rationale**: These faster parameters provide earlier signal detection while maintaining reliability, particularly effective for MSTR's rapid price movements and high-frequency volatility **RSI Configuration (21-period)**: - Length: 21 periods (vs standard 14) - Oversold: 30 level - Extreme Oversold: 25 level - **Rationale**: The 21-period RSI reduces false signals while still capturing oversold conditions effectively in MSTR's volatile environment **Parameter Adaptability**: While optimized for MSTR, these parameters can be adjusted for other high-volatility instruments. Faster-moving stocks may benefit from even shorter MACD periods, while less volatile assets might require longer periods for optimal performance. ### Scoring System Methodology **Entry Score Components (Minimum 13 points required)**: 1. **RSI Signals** (max 5 points): - RSI < 30: +2 points - RSI < 25: +2 points - RSI turning up: +1 point 2. **MACD Signals** (max 8 points): - MACD below zero: +1 point - MACD turning up: +2 points - MACD histogram improving: +2 points - MACD bullish divergence: +3 points 3. **Price Action** (max 4 points): - Long lower wick (>50%): +2 points - Small body (<30%): +1 point - Bullish close: +1 point 4. **Pattern Recognition** (max 8 points): - RSI bullish divergence: +4 points - Quick recovery pattern: +2 points - Reversal confirmation: +4 points **Exit Score Components (Minimum 13 points required)**: Uses inverse criteria to identify swing tops with similar weighting system. ## Risk Management Features ### Position Sizing & Risk Control - **Single Position Strategy**: 100% equity allocation per trade - **No Overlapping Positions**: Ensures focused risk management - **Configurable Risk/Reward**: Default 5:1 ratio optimized for volatile assets ### Stop Loss & Take Profit Logic - **Dynamic Stop Loss**: Based on recent swing lows with configurable buffer - **Risk-Based Take Profit**: Calculated using risk/reward ratio - **Clean Exit Logic**: Prevents conflicting signals ## Default Settings Optimization ### Key Parameters (Optimized for MSTR/Bitcoin-style volatility): - **Minimum Entry Score**: 13 (ensures high-conviction entries) - **Minimum Exit Score**: 13 (prevents premature exits) - **Risk/Reward Ratio**: 5.0 (accounts for volatility) - **Lower Wick Threshold**: 50% (identifies true hammer patterns) - **Divergence Lookback**: 8 bars (optimal for swing timeframes) ### Why These Defaults Work for MSTR: 1. **Higher Score Thresholds**: MSTR's volatility requires more confirmation 2. **5:1 Risk/Reward**: Compensates for wider stops needed in volatile markets 3. **Faster MACD**: Captures momentum shifts quickly in fast-moving stocks 4. **21-period RSI**: Reduces noise while maintaining sensitivity ## Visual Features ### Score Display System - **Green Labels**: Entry scores ≥10 points (below bars) - **Red Labels**: Exit scores ≥10 points (above bars) - **Large Triangles**: Actual trade entries/exits - **Small Triangles**: Reversal pattern confirmations ### Chart Cleanliness - Indicators plotted in separate panes (MACD, RSI) - TP/SL levels shown only during active positions - Clear trade markers distinguish signals from actual trades ## Backtesting Specifications ### Realistic Trading Conditions - **Commission**: 0.1% per trade - **Slippage**: 3 points - **Initial Capital**: $1,000 - **Account Type**: Cash (no margin) ### Sample Size Considerations - Strategy designed for 100+ trade sample sizes - Recommended timeframes: 4H, 1D for swing trading - Optimal for trending/volatile markets ## Strategy Limitations & Considerations ### Market Conditions - **Best Performance**: Trending markets with clear swings - **Reduced Effectiveness**: Highly choppy, sideways markets - **Volatility Dependency**: Optimized for moderate to high volatility assets ### Risk Warnings - **High Allocation**: 100% position sizing increases risk - **No Diversification**: Single position strategy - **Backtesting Limitation**: Past performance doesn't guarantee future results ## Usage Guidelines ### Recommended Assets & Timeframes - **Primary Target**: MSTR (MicroStrategy) - 5min to 15min timeframes - **Secondary Targets**: High-volatility stocks (TSLA, NVDA, COIN, etc.) - **Crypto Markets**: Bitcoin, Ethereum (with parameter adjustments) - **Timeframe Optimization**: 1min-15min for scalping, 30min-1H for swing scalping ### Timeframe Recommendations - **Primary Scalping**: 5-minute and 15-minute charts - **Active Monitoring**: 1-minute for precise entries - **Swing Scalping**: 30-minute to 1-hour timeframes - **Avoid**: Sub-1-minute (excessive noise) and above 4-hour (reduces scalping opportunities) ## Technical Requirements - **Pine Script Version**: v6 - **Overlay**: Yes (plots on price chart) - **Additional Panes**: MACD and RSI indicators - **Real-time Compatibility**: Confirmed bar signals only ## Customization Options All parameters are fully customizable through inputs: - Indicator lengths and levels - Scoring thresholds - Risk management settings - Visual display preferences - Date range filtering ## Conclusion This scalping strategy represents a comprehensive approach to low timeframe trading that combines multiple technical analysis methods into a cohesive, quantified system specifically optimized for MSTR's unique volatility characteristics. The optimized parameters and scoring methodology provide a systematic way to identify high-probability scalping setups while managing risk effectively in fast-moving markets. The strategy's strength lies in its objective, multi-criteria approach that removes emotional decision-making from scalping while maintaining the flexibility to adapt to different instruments through parameter optimization. While designed for MSTR, the underlying methodology can be fine-tuned for other high-volatility assets across various markets. **Important Disclaimer**: This strategy is designed for experienced scalpers and is optimized for MSTR trading. The high-frequency nature of scalping involves significant risk. Past performance does not guarantee future results. Always conduct your own analysis, consider your risk tolerance, and be aware of commission/slippage costs that can significantly impact scalping profitability.
Pine Script® stratejisi
Quant_Trading_Pro tarafından
3
Big Move Follow-Through Tracker🚀 What This Indicator Does Ever wondered if that sudden 5% pump in your favorite crypto will continue or just fade away? This powerful indicator automatically tracks every significant price move and tells you exactly what happened next - momentum continuation or mean reversion. 🎯 Key Features 📊 Smart Move Detection Automatically identifies "big moves" based on your custom threshold (default 3%) Uses ATR filtering to ensure moves are truly significant, not just normal volatility Works on ANY timeframe and ANY crypto pair 🔍 Follow-Through Analysis Tracks each big move for your specified number of bars (default 5) Classifies outcomes as either Follow-Through (momentum continues) or Mean Reversion (price reverses) Uses intelligent 2% thresholds to avoid noise and focus on meaningful moves 📈 Real-Time Statistics Dashboard Live statistics table showing historical performance Separate analysis for UP moves vs DOWN moves (crypto often behaves differently!) Percentage breakdowns of follow-through vs reversion rates Track total moves detected vs analyzed over time 🎨 Visual Clarity Clear arrow signals when big moves are detected Background highlighting during significant moves Customizable display options - show/hide signals and stats as needed 🛠️ How to Use Add to any crypto chart (works on BTC, ETH, altcoins, etc.) Adjust the move threshold (3% for major coins, higher for smaller caps) Set analysis timeframe (how many bars to track each move) Watch the statistics build over time to understand your asset's behavior 💡 Trading Applications For Momentum Traders: High follow-through rates? → Consider riding the momentum Trade in direction of big moves when statistics support it For Mean Reversion Traders: High reversion rates? → Look for fade opportunities Counter-trade big moves when they historically reverse For Risk Management: Understand typical behavior after significant moves Size positions based on historical follow-through probabilities 📋 Customizable Settings Big Move Threshold: Adjust sensitivity (0.5% - 10%) Analysis Period: How long to track each move (3-20 bars) Display Options: Toggle signals and statistics table Alert System: Get notified when big moves occur 🎲 What Makes This Different Unlike simple momentum indicators, this tool: ✅ Quantifies actual outcomes with real statistics ✅ Adapts to each asset's unique volatility profile ✅ Separates up and down move behavior ✅ Provides actionable probability data 📊 Perfect For Crypto day traders looking for edge identification Swing traders wanting to understand momentum vs reversion tendencies Risk managers needing probability-based position sizing Strategy developers building data-driven trading systems ⚡ Quick Setup Tips For Major Cryptos (BTC, ETH): Use 2-4% threshold For Altcoins: Use 4-8% threshold For Scalping: Use lower timeframes with 1-2% threshold For Swing Trading: Use higher timeframes with 5%+ threshold
Pine Script® göstergesi
Kirubakaran_Rajendran tarafından
2
Multi Asset Comparative📊 Multi Asset Comparative – Compare Baskets of Cryptos Visually This indicator allows you to compare the performance of two groups of cryptocurrencies (or any assets) over time, using a clean and intuitive chart. Instead of looking at each asset separately, this tool gives you a global view by showing how one group performs relative to another — all displayed in the form of candlesticks. 🧠 What This Tool Is For Markets constantly shift, and capital rotates between sectors or tokens. This script helps you visually track those shifts by answering a key question: "Is this group of assets getting stronger or weaker compared to another group?" For example: Compare altcoins vs Bitcoin Track the DeFi sector vs Ethereum Analyze your custom portfolio vs the market Spot moments when money flows from majors to smaller caps, or vice versa 🧩 How It Works (Simplified) You select two groups of assets: Group 1 (up to 20 assets) — the one you want to analyze Group 2 (up to 5 assets) — your comparison baseline The indicator then creates a single line of candles that represents the performance of Group 1 compared to Group 2. If the candles go up, it means Group 1 is gaining strength over Group 2. If the candles go down, it's losing ground. This lets you see market dynamics in one glance, instead of switching charts or running calculations manually. 🚀 Why It's Unique Unlike many indicators that just show data from one asset, this one provides a bird's-eye view of multiple assets at once — condensed into a simple visual ratio. It’s: Customizable (you choose the assets) Visual and intuitive (no need to interpret tables or formulas) Actionable (helps with trend confirmation, macro views, and market rotation) Whether you're a swing trader, a macro analyst, or building your own strategy, this tool can help you spot opportunities hidden in plain sight. ✅ How to Use It Choose your two groups of assets (e.g., altcoins vs BTC/ETH) Watch the direction of the candles: Uptrend = Group 1 gaining strength over Group 2 Downtrend = Group 1 weakening Use it to confirm market shifts, anticipate rotations, or analyze sector strength
Pine Script® göstergesi
Nico_Crypto_ tarafından