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指标和策略

ADX and DI Custom HubADX & DI Multi-Timeframe Trend Dashboard This indicator combines ADX (trend strength) and DI+/DI- (direction) into a clean multi-timeframe HUD so you can instantly see whether the market is choppy, trending, or overheated. Each timeframe is labeled as: - CHOP (weak / sideways market) - LONG / SHRT (active trend direction) - L!!! / S!!! (extreme trend strength) The dashboard also shows: - ADX rising or falling (▲ / ▼) - DI spread (bull vs bear dominance) - Optional history of previous trend states - Cooling signal when strong trends begin weakening Idea on how to use: - Avoid trading when ADX is below 20 (CHOP). - Trade in the direction of DI+ or DI- when ADX is above 20. - Be cautious when ADX is above 40 and starts falling — the trend may be exhausting. - Use higher timeframes in the HUD to confirm lower timeframe entries.
Pine Script®指标
由jersi00提供
Swing Strategy Feature Set W [theEccentricTrader]█   OVERVIEW This swing strategy is part of a broader research and exploration framework designed to encourage users to experiment with a variety of technical concepts and evaluate the comparative effectiveness of different strategy configurations. For example, users can first configure a core strategy as a benchmark, then iteratively test a range of feature configurations as additional entry conditions and compare their performance against one another and against the core strategy. Feature Set W includes concepts beginning with the letter "W" and forms part of a larger swing strategy suite that covers a wide range of technical concepts. The objective of the suite is not curve-fitting, but rather structured experimentation, exploration and statistical validation (or invalidation) of technical concepts. Concepts exclusive to the feature set are as follows: Wave Period Oscillator Williams Accumulation/Distribution Williams Variable Accumulation/Distribution Williams Fractal Williams Percent Range █   OPERATIONAL Initial Capital The initial capital is defined as a monetary value denominated in a given base currency. The default initial capital is set to 100,000. The default base currency is set to the selected symbol's default base currency. Users can adjust the initial capital and select an alternative base currency via strategy Settings/Properties. Risk as Percentage of Equity The equity is defined as the sum of initial capital, net profit and open profit. The risk is defined as a percentage of equity per-trade. As a result, net profit outcomes are subject to compounding effects over time. The default risk is set to 1% of equity. Users can adjust the strategy's per-trade risk via strategy Settings/Inputs/STRATEGY. For further information on how the risk is applied in practice, refer to the position sizing section below. Unit of Value The unit of value is defined as a decimal precision factor that converts user-defined point or pip distances into actual price units used by the selected symbol. Different symbols express price movement using different conventions. For example, some symbols are quoted directly in whole price points, while others use pips or fractional point increments. The unit of value provides a normalisation layer that allows all distance-based logic in the strategy to operate consistently across symbols. Examples: A unit of value of 1 corresponds to a price increment of 1.0. A unit of value of 10 corresponds to a price increment of 0.1. A unit of value of 100 corresponds to a price increment of 0.01. A unit of value of 1000 corresponds to a price increment of 0.001. A unit of value of 10000 corresponds to a price increment of 0.0001. Users should consult their broker’s published symbol specifications to confirm how price movement is defined for the symbols they intend to backtest. Incorrect configuration of the unit of value may result in misaligned stop distances, targets and/or risk calculations. The default unit of value is set to 1. Users can adjust the unit of value via strategy Settings/Inputs/STRATEGY. Stop Buffer The stop buffer is defined as the number of points or pips beyond a stop loss level required for the level to be considered clearly breached. The default stop buffer is set to 0 points/pips. Users can adjust the stop buffer via strategy Settings/Inputs/STRATEGY. Risk Range The risk range is defined as the difference between the entry price and the stop loss price (inclusive of the stop buffer) for any given trade. Position Sizing Position sizing determines the quantity of contracts, shares or units opened for each trade based on the user-defined risk and the selected symbol’s pricing structure. "syminfo.pointvalue" is a built-in Pine Script variable that defines the number of underlying units contained within a single contract for any given symbol, and is critical for accurate position size calculations. The position size is calculated as follows: The risk range is multiplied by the syminfo.pointvalue to convert the price movement into its monetary equivalent. The user-defined risk amount (expressed as a percentage of equity) is divided by this monetary risk per unit to determine the position size. This ensures that each trade risks a consistent proportion of account equity regardless of point or pip based quoting conventions, symbol price scale or contract specifications. While the strategy targets a fixed percentage of equity risk per-trade, the exact risk applied cannot always be matched precisely due to symbol-specific constraints such as contract sizing and margin requirements. In these cases, the strategy opens the largest permissible position that does not violate operational constraints, resulting in a realised risk that is as close as possible to the user-defined risk without exceeding it. For further information on the syminfo.pointvalue variable, please refer to: www.tradingview.com Margin The margin is defined as the minimum percentage of a position’s notional value that must be covered by the strategy’s available equity in order for TradingView's strategy tester to simulate opening and maintaining that position. For example, a margin setting of 25% means the simulated account must hold equity equal to at least 25% of the position’s notional value in order to enter or maintain that trade, the remaining 75% is considered provided by the simulated broker. A lower margin percentage allows the account to open larger positions relative to its equity, because the required equity portion is smaller. Conversely, a higher margin percentage demands more of the account's equity be committed to any given position. When the account’s equity falls below the required margin, the strategy tester emulates a margin call event, in which the broker emulator forcibly closes or reduces positions so that remaining positions no longer exceed available equity relative to the margin requirement. This behaviour is documented as part of TradingView’s margin/leverage feature for strategies. Margin settings in a strategy are used solely for simulation purposes and do not automatically match any broker’s real-world margin requirements (which can vary by broker, asset class and symbol). Users should consult their broker’s published specifications for further details. The default margin is set to 25% for both long and short positions. Users can adjust the margin for long and short positions independently via strategy Settings/Properties/MARGIN. For further information on the strategy tester's margin functionality, please refer to: www.tradingview.com www.tradingview.com Pyramiding The pyramiding count is defined as the maximum number of open positions permitted at any one time. TradingView's strategy tester does not facilitate hedging, as such, long entries will close any open short positions and short entries will close any open long positions. The default pyramiding count is set to 100. Users can adjust the pyramiding count via strategy Settings/Properties.
 For further information on TradingView's strategy tester and broker emulator, please refer to: www.tradingview.com Spread The spread is defined as the difference between a given symbol's bid (buy) price and ask (sell) price. Typical spreads vary by broker and symbol. Some brokers offer fixed spreads on certain symbols, while others offer variable spreads that fluctuate with market conditions. Users should consult their broker's published specifications for further details. Commission The commission is defined as a transaction cost applied by a broker and may be expressed as a percentage of position size, a per-contract fee or a fixed fee per-transaction. Commission structures vary by broker and symbol. Some brokers charge no explicit commission and instead generate revenue through the spread or other indirect sources, while others will typically apply one of the three aforementioned commission types, depending on the product offered. Users should consult their broker's published specifications for further details. The default commission is set to 0.005% of position size. Users can select and adjust the commission type via strategy Settings/Properties/COST SIMULATION. █   CORE STRATEGY Green and Red Candles A green candle is defined as a candle that closes at or above its open price and a red candle is defined as a candle that closes below its open price. Swing Highs and Swing Lows A swing high is defined as a green candle, or a series of consecutive green candles, followed by a single red candle that completes the swing and forms the peak. A swing low is defined as a red candle, or a series of consecutive red candles, followed by a single green candle that completes the swing and forms the trough. Peak and Trough Prices The peak price of a complete swing high is either the high of the red candle that completes the swing high or the high of the preceding green candle, depending on which is higher. The trough price of a complete swing low is either the low of the green candle that completes the swing low or the low of the preceding red candle, depending on which is lower. Fixed Reward-to-Risk Fixed reward-to-risk is defined as a user-defined reward multiple for a given unit of risk. Variable Reward-to-Risk Variable reward-to-risk is defined as a path-dependent reward multiple for a given unit of risk. Swing High Swing Low (SHSL) Strategy The SHSL strategy uses swing lows for core long entry conditions and swing highs for core short entry conditions. The strategy is designed for standard OHLC candlestick charts only and will not behave as intended on other chart types. All entries are processed at candle close and use the candle close price for the entry price. Long stop losses are anchored to the most recent trough and short stop losses are anchored to the most recent peak. Users can choose between long-only and short-only configurations, or alternatively simulate trades in both directions (long-short). However, when the "Both" option is selected, long entries will close any open short positions and short entries will close any open long positions (as mentioned in the pyramiding sub-section above). This can and will result in variable reward-to-risk outcomes. The default direction is set to "Long" for a long-only configuration. The default exit type is set to "Target" for a fixed reward-to-risk configuration. Long targets are determined by adding a user-defined multiple of the risk range to the entry price and short targets are determined by subtracting a user-defined multiple of the risk range from the entry price. Even when using a fixed reward-to-risk configuration, realised reward-to-risk outcomes may vary due to market gaps, particularly when positions are held across session boundaries or market closures. Gaps can cause stop losses or exits to be executed at prices materially different from those implied by the strategy’s static distance calculations. Users who wish to minimise gap-related variability may consider applying the close at end of session filter (see core filters section below), accepting that this introduces its own form of reward-to-risk variability. The default reward-to-risk is set to 1. Users can adjust strategy parameters via strategy Settings/Inputs/STRATEGY. Selecting a non-target exit type removes profit targets and renders the reward-to-risk input inactive. Trailing Stop Loss A trailing stop loss is defined as an exit type that dynamically moves a stop loss level in a favourable direction when a predefined condition is met. For example, a predefined point move or the formation of a higher trough or lower peak. Risk Range Trailing Stop Loss The risk range trailing stop loss is defined as a trailing stop mechanism that activates once price has moved favourably by one full risk range. Upon activation, the stop loss is moved to breakeven and subsequently trails favourable price movement by the risk range into profit. Users can apply this exit type by selecting "Trail" via strategy Settings/Inputs/STRATEGY. Trend Trailing Stop Loss The trend trailing stop loss is defined as a trailing stop mechanism that dynamically moves a stop loss level to newly formed higher troughs (for longs) or lower peaks (for shorts). Users can apply this exit type by selecting "Trend Trail" via strategy Settings/Inputs/STRATEGY. Candle Trailing Stop Loss The candle trailing stop loss is defined as a trailing stop mechanism that dynamically moves a stop loss level to newly formed higher candle lows (for longs) or lower candle highs (for shorts). Users can apply this exit type by selecting "Candle Trail" via strategy Settings/Inputs/STRATEGY. Opposing Candle Colour Close The opposing candle colour close exit type is defined as an exit condition that closes any long positions when a new red candle forms and closes any short positions when a new green candle forms. Users can apply this exit type by selecting "Opposing Candle" via strategy Settings/Inputs/STRATEGY. █   CORE FILTERS Minimum Risk Range Filter The minimum risk range filter is defined as an entry filter that invalidates trade signals with a risk range below a user-defined threshold. The default minimum risk range is set to 4 points/pips. Users can adjust the minimum risk range via strategy Settings/Inputs/RISK RANGE FILTER. It is recommended that users set the minimum risk range at least 1–2 points/pips above the selected symbol’s spread to invalidate trades that would be completely impractical under realistic trading conditions. Time Zone The time zone is defined using either an IANA region identifier (e.g. Europe/London, America/New_York) or a fixed UTC/GMT offset (e.g. UTC+1, GMT-05:30). Fixed offsets do not account for daylight saving time. The default time zone is set to Europe/London. Users can change the time zone via strategy Settings/Inputs/TIME ZONE. For further information on time zone configuration, please refer to: data.iana.org en.wikipedia.org Session Filter The session filter is defined as an entry filter that invalidates trade signals that fall outside a user-defined intraday trading session, with session start and end times bound to the strategy time zone. TradingView candle timestamps represent the candle open time, not the candle close time. As a result, session boundaries are evaluated based on when a candle opens, even though entries and exits are processed at candle close. To avoid trades being entered or held beyond the intended session end, users should configure the session end time at least one full timeframe period earlier than the desired practical session close. For example, on a 5-minute chart with a desired session end at 22:00, the session should typically be configured to end at 21:55. This ensures that no new trades are taken at the final session close and that any session-dependent exit logic is applied before the session ends in practice. When using custom or non-standard timeframes where the desired session end does not align cleanly with candle boundaries, it is recommended that users set the session end two full timeframe periods earlier than the desired session end. This provides an additional safety buffer, ensuring the strategy avoids taking trades near the session boundary. By default, the session filter is set to false and the default session is set to "2300-2155". Users can apply the session filter and adjust session boundaries via strategy Settings/Inputs/SESSION FILTER. Close At End of Session Filter The close at end of session filter is defined as an exit filter that closes all open positions when the active trading session ends, provided that the session filter is appropriately configured and applied. When enabled, the strategy monitors the session filter state and detects the transition from an active session to an inactive session. All open trades are closed on the first candle that falls outside the defined session window. This ensures that no positions are carried beyond the user-defined trading session. The close at end of session filter operates independently of entry conditions and other exit types. When enabled, it will force the closure of all open positions at session end regardless of the selected exit configuration. Enabling the close at end of session filter can result in variable reward-to-risk outcomes. Because positions are forcibly closed at session end regardless of stop loss or target placement, exits may occur at prices that differ from those implied by the fixed reward-to-risk configuration. This behaviour is intentional and reflects a design trade-off between enforcing strict session boundaries and allowing trades to reach their predefined directional objectives, regardless of how severely distorted the realised reward-to-risk outcomes could be in the event of price gaps. By default, the close at end of session filter is set to false. Users can apply the close at end of session filter via strategy Settings/Inputs/CLOSE AT END OF SESSION FILTER. Users should also ensure that the session filter is applied and that session boundaries are configured appropriately with respect to candle timestamp behaviour, as described in the session filter section above. Sample Period Filter The sample period filter is defined as an entry filter that invalidates trade signals that fall outside a user-defined date-time range, with start and end date-times bound to the strategy time zone. TradingView candle timestamps represent the candle open time, not the candle close time. As a result, sample period boundaries are evaluated based on when a candle opens, even though entries and exits are processed at candle close. To avoid trades being entered beyond the intended sample period end, users should configure the sample period end date-time at least one full timeframe period earlier than the desired practical sample period end date-time. For example, on a 5-minute chart with a desired end date-time of 01/01/2026 22:00, the end date-time should typically be configured to 01/01/2026 21:55. The default sample period start and end date-times are set to 01/01/1900 00:00 and 01/01/3000 00:00, respectively. Users can adjust the sample period via strategy Settings/Inputs/SAMPLE PERIOD FILTER. █   GENERIC FILTERS Generic Filter Behaviour Unless otherwise stated: "None" inputs return true. Filters return true only when their selected condition is satisfied. Minimum and Maximum Boundary Filters Minimum and maximum boundary filters are defined as entry filters used to constrain time-series values to predefined minimum and/or maximum thresholds, invalidating trade signals that do not satisfy a user-defined threshold criteria. The filters consist of two independent threshold components, minimum (above-equal) and maximum (below-equal), which may be applied individually or together. When both components are applied simultaneously the filters act as a value range constraint, invalidating trade signals that fall outside of the specified bounds. "Above-Equal" returns true when the evaluated value is greater than or equal to the user-defined minimum boundary. "Below-Equal" returns true when the evaluated value is less than or equal to the user-defined maximum boundary. Minimum Percentage Change Positive-Flat/Negative Filter The minimum percentage change filter is an entry filter that measures the relative change of a time-series value over a configurable historical window and applies a directional threshold condition, invalidating trade signals that do not meet the directional threshold criteria. The filter compares the current value to its value n bars ago and computes the percentage difference. A signal returns true only if this percentage change satisfies both: The selected directional requirement. The user-defined minimum percentage change magnitude. "Positive-Flat" direction logic: Accepts values that have increased or remained unchanged, provided the percentage change is greater than or equal to the minimum threshold. "Negative" direction logic: Accepts values that have decreased, provided the magnitude of the decrease meets or exceeds the minimum threshold. When the minimum threshold is set to 0%, the filter behaves as a pure directional check: "Positive-Flat" accepts ≥ 0% changes. "Negative" accepts < 0% changes only. Basic and Multi-Part Trend Filters Basic and multi-part trend filters are defined as entry filters that evaluate changes in time-series values from one period to the next and invalidate trade signals that do not satisfy a user-defined trend condition. Basic trends operate independently of prior trend state, whereas multi-part trends are defined by the presence or absence of preceding trend sequences. The multi-part trend states are distinguished numerically and the conditions are bound to a user-defined trend count. "Basic Uptrend" returns true when a time-series value is greater than the preceding value. For example, a basic volume uptrend filter returns true if the most recent candle's volume is greater than the preceding candle's volume. "Basic Downtrend" returns true when a time-series value is less than the preceding value. For example, a basic volume downtrend filter returns true if the most recent candle's volume is less than the preceding candle's volume. "Uptrend" returns true while a multi-part uptrend state is valid. The uptrend state begins when a new basic uptrend forms following a basic downtrend and remains valid until a new basic downtrend forms. The user-defined trend count will determine which multi-part trend condition is selected. For example, if the user-defined trend count is set to 3, then only 3-part uptrend conditions will return true. "Downtrend" returns true while a multi-part downtrend state is valid. The downtrend state begins when a new basic downtrend forms following a basic uptrend and remains valid until a new basic uptrend forms. The user-defined trend count will determine which multi-part trend condition is selected. For example, if the user-defined trend count is set to 3, then only 3-part downtrend conditions will return true. █   FEATURE SET W SPECIFIC FILTERS All feature set specific indicators use the same calculations as the built-in TradingView indicators unless otherwise stated in the relevant filter sub-section. While users do not need to apply the indicators for the strategy to function, they can of course apply the relevant indicators as visual aids if they so desire. For further information on how to apply built-in TradingView indicators, please refer to: www.tradingview.com As there are no built-in TradingView indicators for the WPO, WAD and WVAD values used in this script, code samples are provided in the relevant sections so that users can build their own Pine Script indicators. For further information on how to build Pine Script indicators, please refer to: www.tradingview.com www.tradingview.com Wave Period Oscillator (WPO) Filters As there is no built-in indicator for the WPO value used in this script, users can build their own WPO indicator in Pine Script by copying the following code and pasting it into a new indicator: //@version=6 indicator(title = "Wave Period Oscillator", shorttitle = "WPO", overlay = false) import TradingView/ta/12 as ta wpo_length = input.int(title = 'WPO Length', defval = 10, minval = 1, group = 'Wave Period Oscillator (WPO)') wpo = ta.wpo(wpo_length) plot(wpo, color = color.blue) The default WPO length is set to 10. Users can adjust the WPO length via strategy Settings/Inputs/WAVE PERIOD OSCILLATOR (WPO). The WPO minimum and maximum boundary filter (see generic filters section above) defaults are as follows: Apply WPO above-equal is set to false. WPO above-equal threshold is set to -100. Apply WPO below-equal is set to false. WPO below-equal threshold is set to 0. The WPO minimum percent change positive-flat/negative filter (see generic filters section above) defaults are as follows: Mode is set to "None". Minimum percent change is set to 0. Lookback is set to 3. The WPO trend filter (see generic filters section above) defaults are as follows: Mode is set to "None". Trend count is set to 3. Users can apply the WPO filters and adjust filter parameters via strategy Settings/Inputs/WPO FILTERS. Williams Accumulation/Distribution (WAD) Filters As there is no built-in indicator for the WAD value used in this script, users can build their own WAD indicator in Pine Script by copying the following code and pasting it into a new indicator: //@version=6 indicator(title = "Williams Accumulation/Distribution", shorttitle = "WAD", overlay = false) wad = ta.wad plot(wad, color = color.blue) The WAD minimum percent change positive-flat/negative filter (see generic filters section above) defaults are as follows: Mode is set to "None". Minimum percent change is set to 0. Lookback is set to 3. The WAD trend filter (see generic filters section above) defaults are as follows: Mode is set to "None". Trend count is set to 3. Users can apply the WAD filters and adjust filter parameters via strategy Settings/Inputs/WILLIAMS ACCUMULATION/DISTRIBUTION (WAD) FILTERS. Williams Variable Accumulation/Distribution (WVAD) Filters As there is no built-in indicator for the WVAD value used in this script, users can build their own WVAD indicator in Pine Script by copying the following code and pasting it into a new indicator: //@version=6 indicator(title = "Williams Variable Accumulation/Distribution", shorttitle = "WVAD", overlay = false) wvad = ta.wvad plot(wvad, color = color.blue) The WVAD minimum percent change positive-flat/negative filter (see generic filters section above) defaults are as follows: Mode is set to "None". Minimum percent change is set to 0. Lookback is set to 3. The WVAD trend filter (see generic filters section above) defaults are as follows: Mode is set to "None". Trend count is set to 3. Users can apply the WVAD filters and adjust filter parameters via strategy Settings/Inputs/WILLIAMS VARIABLE ACCUMULATION/DISTRIBUTION (WVAD) FILTERS. Williams Fractal (WF) Filter Although TradingView provides a built-in WF indicator that users may apply as a visual aid, the fractal logic used in this script is hard-fixed to a 2-period WF calculation. This fixed length ensures structural compatibility with the core swing high and swing low entry logic used throughout the strategy. Fractal lengths greater than 2 would introduce confirmation delays that conflict with the strategy’s swing completion rules and would therefore be incompatible with the intended entry structure. The WF filter is defined as an entry filter that requires structural alignment between swing conditions and confirmed fractal signals. When applied: For long trades, the filter returns true only when a swing low forms and a 2-period up fractal is confirmed. For short trades, the filter returns true only when a swing high forms and a 2-period down fractal is confirmed. By default, the WF filter is set to false. Users can apply the WF filter via strategy Settings/Inputs/WILLIAMS FRACTAL (WF) FILTER. Williams Percent Range (WPR) Filters The default WPR settings are as follows: Length is set to 14. Source is set to "Close". Users can adjust the WPR inputs via strategy Settings/Inputs/WILLIAMS PERCENT RANGE (WPR). The WPR minimum and maximum boundary filter (see generic filters section above) defaults are as follows: Apply WPR above-equal is set to false. WPR above-equal threshold is set to -100. Apply WPR below-equal is set to false. WPR below-equal threshold is set to 0. The WPR minimum percent change positive-flat/negative filter (see generic filters section above) defaults are as follows: Mode is set to "None". Minimum percent change is set to 0. Lookback is set to 3. The WPR trend filter (see generic filters section above) defaults are as follows: Mode is set to "None". Trend count is set to 3. Users can apply the WPR filters and adjust filter parameters via strategy Settings/Inputs/WPR FILTERS. █   ALERTS Users can set alerts for any given strategy configuration via the alerts dialogue box. Users must first ensure that the correct condition (the strategy title) is selected from the first drop-down list in the alert dialogue box's condition field. Default alert messages have been configured for both entries and exits so that users can more effectively distinguish between long and short entries and exits while using long-short configurations. To get alerts for both entries and exits the user should change the value in the condition field's second drop-down list from "Order fills only and alert() function calls" to "Order fills only". When using "Order fills only" with long-short configurations, it is recommended that users define their alert via the alert name field and use only the default {{strategy.order.alert_message}} call in the alert message field. Alert conditions generated by "Order fills only" are evaluated after entry conditions have been satisfied and operational constraints (risk, position size and margin requirements) have been applied. As such, trade signals that would result in position sizes exceeding the simulated account's margin constraints will not generate alerts. To get alerts for entries only the user should change the value in the condition field's second drop-down list from "Order fills only and alert() function calls" to "alert() function calls only". The default alert messages generated by "Order fills only" are as follows: "long entry". "long exit". "short entry". "short exit". The default alert messages generated by "alert() function calls only" are as follows: "long entry". "short entry". Alert conditions generated by "alert() function calls only" are operational-constraint-agnostic and will generate alerts whenever entry conditions are satisfied, regardless of the simulated account's margin constraints. For further information on setting and managing alerts, please refer to: www.tradingview.com www.tradingview.com www.tradingview.com █   LIMITATIONS AND CONSIDERATIONS Backtesting Backtest results should always be interpreted cautiously. Strategy performance can vary significantly across time periods and sample sets. While strong historical performance does not guarantee future results, poor historical performance reliably indicates a weak strategy when sample sizes are statistically meaningful. Statistical Significance and Path-Dependent Outcomes (Overfitting) In statistical practice, sample sizes of 100 observations are sometimes cited as a rough lower bound for certain forms of basic significance testing. In the context of trading strategy evaluation, such sample sizes are rarely sufficient to produce results that are meaningfully reliable or replicable. Based on practical experience, sample sizes closer to 1,000 observations or more are generally required before performance characteristics begin to stabilise. As a general rule, larger sample sizes increase the reliability and replicability of observed results. Path dependence refers to situations in which outcomes are determined not only by initial conditions, but by the specific and unique sequence of price movements over a given time period. Even with large sample sizes, favourable net profit outcomes should be interpreted with caution when they are primarily driven by either variable reward-to-risk configurations or fixed reward-to-risk configurations that employ unrealistically high reward multiples. In both cases, performance is often strongly influenced by path-dependent effects, making such outcomes less reliable and less replicable. Fixed reward-to-risk configurations are generally less susceptible to path dependence when the reward multiple is kept within reasonable bounds. However, empirical studies and practitioner research suggest that reward multiples above approximately 3:1 increasingly exhibit the same path-dependent characteristics observed in variable reward-to-risk strategies. Bar Magnifier Due to the limitations of OHLC data, intra-bar price movement cannot be precisely determined. When both stop loss and target levels are reached within the same candle, assumptions are made by the strategy tester. Pine Script's bar magnifier partially mitigates this limitation by evaluating lower-timeframe data. However, this feature is available only to TradingView Premium users and remains inherently limited. For further information on the bar magnifier functionality, please refer to: www.tradingview.com www.tradingview.com TradingView Premium users can enable bar magnifier via strategy Settings/Properties/FILL ORDERS. Processing Orders at Candle Close Backtests cannot accurately account for slippage between signal generation and trade execution. A practical mitigation is to use fixed-distance stop losses and targets rather than absolute price levels, a feature supported by many brokers and APIs. Empirical Probabilities Empirical probabilities are derived directly from observed outcomes rather than from theoretical models or assumed distributions. In the context of trading, they are calculated by measuring the relative frequency of events (such as wins and losses) across a large sample of historical trades. Unlike conditional or model-based probabilities, empirical probabilities make no assumptions. Their validity relies primarily on sample size and the consistency of the rules used to generate observations, making them particularly relevant for trading systems evaluated under the law of large numbers. Empirical probabilities are most useful for comparative analysis, such as assessing how different configurations, filters or exit mechanisms alter the statistical behaviour of a strategy under identical conditions. They are not intended to represent true predictive probabilities or to imply stable future performance. To study empirical probabilities for comparative purposes, it is recommended that users set commission and both long and short margin values to 0% in order to maximise sample size. However, users should not interpret any resulting profits as realistic. Setting commission and margin (in particular) to 0% produces highly distorted outcomes that are not representative of realistic live trading conditions. █   DISCLAIMER This Pine Script strategy is provided for educational purposes only and does not constitute financial advice in any form.
Pine Script®策略
由theEccentricTrader提供
MACD HTF - Accurate Backtest Metrics// ╔══════════════════════════════════════════════════════════════════════════════╗ // ║ MACD HTF STRATEGY WITH ACCURATE BACKTEST ║ // ╚══════════════════════════════════════════════════════════════════════════════╝ // // 📊 STRATEGY OVERVIEW: // This advanced MACD strategy allows you to execute trades based on Higher Timeframe (HTF) // signals while operating on lower timeframe charts for precise entry timing. // // ⚡ KEY FEATURES: // • Higher Timeframe Signal Detection (e.g., 15min signals on 1min chart) // • Accurate Backtest Calculations with Commission & Slippage // • Trailing Stop Loss with Offset // • Hard Stop Loss (Percentage or Points based) // • Cooldown Period after trade exits // • Detailed Performance Metrics Panel // • Visual Stop Loss Lines // • Real-time Signal State Tracking // // 📈 HOW IT WORKS: // 1. SIGNAL GENERATION: // - Detects MACD crossovers on selected timeframe (current or HTF) // - HTF mode: Captures 15min (or custom) signals while on 1min chart // - Bullish: MACD crosses above Signal line → BUY // - Bearish: MACD crosses below Signal line → SELL // // 2. ENTRY EXECUTION: // - Current TF Mode: Executes immediately on signal // - HTF Mode + Close: Waits for HTF candle close (more accurate) // - HTF Mode + Immediate: Executes as soon as HTF signal appears // // 3. RISK MANAGEMENT: // - Hard Stop Loss: Fixed percentage or points from entry // - Trailing Stop: Activates after reaching trail points profit // - Trail Offset: Maintains distance from highest/lowest point // - Cooldown: Prevents overtrading after exits // // 4. POSITION MANAGEMENT: // - Long Only / Short Only / Both directions // - Automatic position reversal on opposite signals // - One position at a time (no pyramiding) // // 🎯 RECOMMENDED SETTINGS: // • For Scalping: 1min chart with 15min HTF signals // • For Day Trading: 5min chart with 1H HTF signals // • For Swing Trading: 1H chart with 4H/Daily HTF signals // // 📊 BACKTEST ACCURACY: // • Commission: 0.1% per trade (adjustable) // • Slippage: 3 ticks default (adjustable) // • Execution: On bar close for realistic results // • No repainting: lookahead=false on security calls // // ⚠️ IMPORTANT NOTES: // • HTF signals may appear delayed on lower timeframes // • Always wait for HTF close for most accurate backtesting // • Stop losses may trigger intrabar (not visible in backtest) // • Past performance does not guarantee future results // // 📝 USAGE INSTRUCTIONS: // 1. Add to chart (recommended: 1min or 5min) // 2. Enable "Use Higher Timeframe Signals" // 3. Set Signal Timeframe (15min, 30min, 1H, etc.) // 4. Configure Stop Loss settings // 5. Set appropriate Cooldown period // 6. Review backtest metrics in bottom-right panel // // 🔧 CUSTOMIZATION: // • Adjust MACD parameters (Fast/Slow/Signal) // • Modify Stop Loss percentage or points // • Change trailing stop activation and offset // • Set custom backtest date range // • Fine-tune commission and slippage // // 💡 PRO TIPS: // • Use HTF for trend direction, LTF for entry timing // • Higher commission/slippage = more realistic results // • Longer cooldown periods reduce overtrading // • Trail offset prevents premature exits // // 📧 SUPPORT: // For questions or suggestions, please comment on TradingView
Pine Script®策略
由bhavneetsinghwalia提供
Manual Entry Buy vs Price PnL v1Manual Entry – Buy vs Price & P/L is a simple overlay tracker for your manual positions. Enter your symbol, buy price, quantity, and round-trip fee % in the indicator Settings. The script automatically detects the chart symbol and shows the first matching slot (1–5). It displays your Buy Reference Price (optional fee-adjusted breakeven), current Δ%, net Value, and optional $ P/L, plus a buy line and “$” marker at your reference price. How to use 1. Add the indicator to your chart. 2. Click the gear icon (Settings) for the indicator. 3. Go to Manual Entries (Set in Settings) and fill in one slot: - Symbol (example: BTCUSD or COINBASE:BTCUSD) - Buy Price - Qty - Fee % (round trip) (example: 0.40 for 0.40%) 4. Open the chart for that same symbol — the script will automatically display that slot. Tip: Set Buy Price = 0 to disable a slot.
Pine Script®指标
由jersi00提供
PowerRanger: NY OR & IB with Standard DeviationsPowerRanger: Opening Range and Initial Balance The PowerRanger is an all-in-one session volatility toolkit designed for intraday traders who specialize in Opening Range Breakouts (ORB) and Initial Balance (IB) expansions. By anchoring precisely to the New York open, this indicator provides institutional-grade levels that define the "playing field" for the rest of the trading day. 🚀 Why Use the PowerRanger? In professional auction market theory, the first 15 and 60 minutes of the NY session represent the "Opening Range" and "Initial Balance." These zones often dictate the day's trend or mean-reversion boundaries. The PowerRanger automates these calculations with surgical precision and adds dynamic volatility extensions. 🛠️ Key Features Dual Timeframe Tracking: Automatically plots the 15-Minute Opening Range (OR) and the 60-Minute Initial Balance (IB). Dynamic Standard Deviations: Plot up to 5 Standard Deviation levels to identify overextension and high-probability reversal zones. Custom Volatility Engine: Choose whether your SD extensions are derived from the 15-minute OR or the 1-hour IB, allowing you to adapt to different market regimes. Historical Accuracy: Labels and levels remain pinned to historical data, making this an elite tool for backtesting and reviewing past session behavior. Professional Visuals: Customizable shading, midpoints (Median lines), and clean, non-overlapping labels for a clutter-free trading experience. 📈 How To Trade It The IB Breakout: Watch for price to consolidate within the Initial Balance (first hour). A strong close outside the IB High/Low often signals the trend for the remainder of the session. Volatility Targets: Use the SD 1, 2, and 3 levels as primary take-profit targets. The Mean Reversion: If price reaches SD 4 or 5, it is statistically "exhausted." Look for reversal patterns or RSI divergences at these extreme boundaries. Midpoint Support/Resistance: The OR and IB Midpoints often act as "fair value." Watch for these levels to act as support during a trend or resistance during a breakdown. ⚙️ Settings & Customization Session Time: Defaulted to NY Open (09:30 EST). SD Source: Toggle between OR or IB as the base unit for volatility. Visual Toggles: Turn individual SD levels on/off to suit your strategy. Opacity Sliders: Fine-tune the background shading to keep your focus on price action.
Pine Script®指标
由PowerEdgeTrader提供
GHOST OF SPARTA v39 - Sincere# ⚔️ USER MANUAL: GHOST OF SPARTA v39 (Sincere) This system is designed for precision trading (Sniper) based on price exhaustion and confirmation of the institutional structure. ## 1. THE IRON STRUCTURE (The Guides) The Spartan doesn't fight blindly; he knows his territory thanks to two judges: * **200-period MA (Judge - White):** Defines the major trend. If the price is above it, we look for buys; if it's below, sells. It's the law of the market. * **20-period MA (Rhythm - Yellow):** Defines the current speed. It tells us if the price is "stretched" or if it's returning to its average value. ## 2. TRIGGER DICTIONARY (Icons) ### 🎯 Sniper Diamonds (♦️) - Market Cipher B Logic These are high-precision triggers based on the **VWAP Cipher**. * **♦️ Cyan Blue (Below bar):** Sniper Buy. The VWAP has reached an extreme oversold level (defined by the *Sniper Threshold*) and has begun to turn upward. * **♦️ Red (Above bar):** Sniper Sell. The VWAP is extremely overbought and is beginning to fall. * *Pro Use:* These diamonds are most effective when they occur far from moving averages (mean reversion). ### ✖️ Exhaustion Xs (Certainties) These represent the exhaustion of professional manipulation. * **✖️ Lower Yellow:** Bullish wave crossover at panic levels (below the *X Threshold*). * **✖️ Upper Yellow:** Bearish wave crossover at euphoria levels (above the *X Threshold*). * *Note:* These are "Certain" signals because they indicate that the money wave no longer has the strength to continue in that direction. ## 3. THE STRENGTH RADAR (ADX Background) * **Light Gray Background:** Activated when the **ADX > 20**. * **Meaning:** A real trend is underway. Snipers who appear with this background have a much higher probability of success because the market has the "fuel" to move the price. * ## 4. TACTICAL SETTINGS (Configuration Panel) * **Sniper Threshold (VWAP):** If the market is highly volatile, increase this value (e.g., to 20 or 22) so that only the most extreme diamonds are triggered. If there is little movement, decrease it (e.g., to 15). * **X Threshold:** Controls how "deep" the waves must be to signal exhaustion. 45 is the gold standard. * **Icon Separation (4.2):** If you zoom in a lot and the icons are stuck to the candlesticks, increase this number so they "float" further away and clear your view. ## 5. ALERTS SYSTEM The script already has sentinels integrated. You can configure alerts for: 1. Snipers only. 2. Exhaustion X only. 3. **SNIPER WITH STRENGTH (Recommended):** It will only notify you when a Diamond appears and the ADX confirms that there is strength in the market. This indicator is used in conjunction with my other indicators: Maxgem - Smartflow v17.3 (1) Pulse Scalper (1) Cyber-Prime Volume Profile (1) Ghost of Sparta v39 - Sincere (2) Smart FVG Liquidator - Institutional v5 (2) Modular System v6 - Core Bias by Max (2) It is recommended to use TradingView Plus to have two chart windows in one, for example, Ethereum in the first window and Bitcoin in the second. They are correlated. Also, have the indicators divided as listed and change the colors as desired. If you feel this has helped you improve your trading, send me money. I don't know if I should charge yet, but this strategy is very useful. USDT- TRON TRC20 TPS7qQFLZFS41p6DSDkJPDUFvDXeVuCKGw
Pine Script®指标
由MAXsegsaa提供
STWP Candlestick Patterns Reversal Engine🕯 STWP Candlestick Patterns Reversal Engine Educational Multi-Timeframe Pattern Interpretation Tool Author: simpletradewithpatience (STWP) Markets: Equities, Indices, Futures Built With: Pine Script v5 📌 Overview The STWP Candlestick Reversal Framework is a structured analytical tool designed to identify classical bullish and bearish candlestick formations within a defined trend context. Unlike traditional pattern scripts that mark signals in isolation, this framework evaluates: • Market trend alignment • Pattern structure strength • Volume participation • RSI shift behaviour • MACD momentum transition • Multi-timeframe adaptive EMA structure The objective is not prediction — but structured interpretation. 📸 Chart Preview (Educational Examples) 1️⃣ Bullish Reversal Context 🔗 Illustrates a bullish candlestick formation forming within a structured downtrend, followed by improving momentum alignment and volume participation. 2️⃣ Bearish Reversal Context 🔗 Displays a bearish formation appearing after extended upward movement, with weakening slope and momentum shift. ⚠ Snapshots are shared strictly for educational illustration. They are not trade recommendations. 📊 What This Framework Helps You Understand ✅ Whether a pattern is forming with or against prevailing trend ✅ If volume supports the move ✅ Whether momentum is strengthening or weakening ✅ How structure changes across Intraday, Swing, and Positional timeframes ✅ A contextual reliability score based on confluence factors This promotes clarity over impulse. 🔁 Adaptive Timeframe Logic The framework automatically adjusts its EMA structure based on chart timeframe: • Intraday: 9 & 21 EMA • Swing: 20 & 50 EMA • Positional: 50 & 200 EMA This allows pattern interpretation to remain relevant across different trading horizons. 💡 Educational Use Case Ideal for traders who want to: • Study classical candlestick behavior • Understand reversal strength in context • Avoid reacting to isolated patterns • Develop confluence-based thinking • Build structured decision discipline This tool is intentionally analytical — not predictive. ⚠ Important Notes • No buy/sell signals are generated • No automated trade logic included • No performance claims made • Designed purely for structured observation Use it as a study framework, not a trigger. ⚠ Disclaimer This indicator is provided strictly for educational and informational purposes. It does not constitute investment advice, research recommendation, or trading guidance. Market participation involves risk. Please consult a SEBI-registered financial advisor before making financial decisions. The author is not responsible for financial losses arising from use or interpretation of this tool.
Pine Script®指标
由simpletradewithpatience提供
Auto Trend Structure (ATR) v1.01Auto Trend Structure (ATR) v1.01 is a clean, ATR-based market structure tool that automatically maps **HH / HL / LH / LL** pivots without fixed pivot lengths. It draws trend-colored **zigzag structure legs**, highlights **Break of Structure (BOS / CHoCH)** events, and includes a **live “ghost” projection** to show the developing (unconfirmed) next pivot in real time. Built-in multi-timeframe support lets you calculate structure from a higher timeframe while viewing it on a lower one. Optional **daily/weekly/monthly key levels** (PDH/PDL/Open/PDC, PWH/PWL/W-Open, PMH/PML/M-Open), plus **last structure levels** and **all-time high**, help you quickly spot important zones. Pivot labels can be displayed as **type only**, **price**, **% move**, or **price + %** for fast context.
Pine Script®指标
由jersi00提供
iFVG Structural FrameworkiFVG Structural Framework iFVG Structural Framework is a rule-based visualization tool that identifies and tracks Inversion Fair Value Gaps (iFVGs) following defined liquidity events. It is intended for analysts studying structural price behavior, liquidity dynamics, and displacement-based imbalances across multiple timeframes. This indicator does not provide trading signals or forecasts. All logic serves educational and analytical purposes only. Overview iFVG Structural Framework is a rule-based visualization tool designed to identify Inversion Fair Value Gaps (iFVGs) that occur after defined liquidity events. The script processes price data sequentially and marks structural transitions only when a specific chain of conditions has been fulfilled: 1. Liquidity is taken from a prior swing or session level 2. A Fair Value Gap (FVG) forms during displacement 3. A full candle body closes through that gap within a defined validation window The indicator does not forecast price direction and does not generate automated trade execution. It visualizes structural price behavior based on predefined logical conditions. Conceptual Background The framework is based on publicly discussed structural and liquidity principles such as: Swing High / Swing Low mechanics Liquidity sweeps Fair Value Gaps Displacement-based imbalance Inversion logic after imbalance mitigation These concepts are widely known within market structure analysis. The technical implementation, sequencing logic, multi-timeframe processing, context validation and object management have been independently developed in Pine Script. No exclusive ownership of the underlying market concepts is claimed. Logic Structure The model operates sequentially and does not repaint. 1. Liquidity Detection Identification of pivot highs and lows Optional session-based high/low tracking Time-limited sweep validation window 2. Fair Value Gap Detection Body-based gap qualification Minimum tick-size threshold Optional higher-timeframe FVG layering (up to four HTF levels) 3. Inversion Qualification A complete candle body must close through a qualifying FVG Validation must occur within a defined bar window after liquidity is taken Wick-only penetration does not qualify 4. Optional Higher-Timeframe Context Detection of recently interacted HTF FVG zones Context window validation Optional requirement that the iFVG forms within an active HTF zone 5. Structural Activation Directional structural states are marked only after full sequence validation Optional session filter Optional directional bias filter Visual Components iFVG box marking inversion area Activation line at close Higher-timeframe FVG zones Liquidity reference lines Optional stop-reference calculation based on historical extremum Automatic object lifecycle management to prevent chart clutter All elements are generated from confirmed price data only. Alert Structure Two alert types are available: Preliminary structural setup (intrabar) Confirmed structural setup (bar close) Alerts represent logical state changes only. They do not execute trades. Usage Guidance Apply the script to any chart and timeframe. The framework is fractal and operates consistently across instruments. The iFVG line can be used to: Observe structural inversion events Monitor validation and invalidation sequences Study liquidity-to-displacement transitions Review multi-timeframe structural alignment The indicator should be used as a structural analysis tool alongside independent market assessment. Operational Notes All higher-timeframe calculations finalize on confirmed bar close. The script processes historical price data only. No order flow, tick data, or external data sources are used. No strategy or backtesting module is included. Originality and Implementation The underlying structural concepts are publicly known. The sequential validation pipeline, context filtering, multi-timeframe engine, and object management system were independently developed for this implementation. This script is published as invite-only to manage distribution and access. Disclaimer This script is provided for educational and analytical purposes only. It does not constitute financial, investment, or trading advice. No performance claims are made. Past market behavior does not guarantee future results. Users remain solely responsible for their trading decisions.
Pine Script®指标
由DarwinFuturesTrading提供
Solaris-XAUUSD Strategy Overview • Rather than using decorative or complex visuals the chart is intentionally kept simple and uncluttered to emphasize readability and precision over aesthetics. • Designed for 15 minute intraday charts. These settings are for XAUUSD • Each asset (stocks, indices, commodities, cryptocurrencies, etc..) requires individual calibration. Since market dynamics shift weekly, how can indicator values stay constant, and how can one asset’s settings apply to all assets? • Retracement entry is best. • Restrict trading to the first two signals per day. • Fine tune input values weekly to adjust for changing volatility. • Refer to the above pic for value setting. Strategy Settings • More than 80% of trades should be profitable (calibration goal). • Minimum of 10 trades in the last 30 days (more is better). • Strategy uses 10 input values that must be precisely fine tuned. Important Notes • There is no holy grail—discipline and risk management are essential. • Always forward test thoroughly before live trading. • For questions, feel free to DM me. Current settings for XAUUSD Sun 4.53 Pluto 86 Mars 18 Charon 1 10 Charon 2 0 Rahu 1.15 Laxmi 0.1 Sun Moon A 100 Mercury 25 ISM 0.5 Less important --ATR Period 14, ATR Smoothing EMA , ATR multiplier 1.25 In style untick following for clean chart-- Bar color Trades on chart Signal labels Quantity Disclaimer : This strategy is for educational and research purposes only and should not be considered investment advice. Always conduct your own research and consult your financial advisor before making trading decisions. Past performance does not guarantee future results.
Pine Script®策略
由Trader-Solaris提供
1
Buddys 30m Strat Hunter with Fib LockStructural Confluence Dashboard Buddy’s 30m Strat Hunter with Fib Lock is a structure-based dashboard designed to visualize when multi-factor criteria align on the 30-minute timeframe. This script highlights the relationship between STRAT patterns, directional structure, and defined key Fibonacci levels — presenting them in a compact dashboard format for fast structural context. It is built for clarity, not prediction. ________________________________________ What This Script Does The dashboard monitors: • 30m STRAT pattern development • Current directional structure (2U / 2D) • F2 reversal conditions • Proximity to defined key Fibonacci levels • A structured confluence score When specific structural criteria align near a defined key Fibonacci level within tolerance, the Lock column activates. The Lock simply indicates that multiple structural conditions are present simultaneously. It does not imply outcome. ________________________________________ Dashboard Columns Explained STRAT Displays confirmed 30m STRAT patterns (ex: 3-2, 3-1, 1-2). CUR Shows the current structural direction of the developing candle. F2 Highlights failed 2 conditions when present. FIB Indicates when price is within tolerance of a defined key Fibonacci level. LOCK Activates when pattern + structure + fib proximity conditions align. SCORE A structural alignment score derived from weighted internal criteria. This score reflects confluence only — not probability, forecasting, or performance metrics. ________________________________________ Fibonacci Integration The script monitors price interaction with predefined key Fibonacci levels. When price is within tolerance and structural criteria align, the dashboard visually reflects that confluence. This allows traders to observe structural interaction relative to predefined areas of interest. ________________________________________ Important Clarifications • This script does not generate trade signals. • It does not predict direction. • It does not provide entry or exit instructions. • It does not guarantee outcomes. It is a structural awareness tool designed to highlight alignment conditions. ________________________________________ Designed as Part of a Larger Structure Toolkit The 30m Strat Hunter with Fib Lock is part of the broader Buddy Structure Toolkit — a collection of structure-based dashboards and multi-timeframe alignment tools. Each script functions independently, but when combined, they allow traders to monitor structure across timeframes and levels with greater clarity. Additional dashboards expand this framework into higher timeframe structure mapping and full continuity visualization.
Pine Script®指标
由ChrisBuddy317提供
STP Elite Prediction SystemThe STP Elite Prediction System is a hybrid analytical indicator designed for active traders seeking structured trade identification and management support. This system integrates multiple technical frameworks including trend structure, momentum evaluation, volatility context, and machine-learning–inspired classification logic. The underlying model incorporates distance-based analysis concepts such as Lorentzian metrics and k-nearest neighbor (kNN) methodology to evaluate market conditions within a multi-factor framework. The system also incorporates dynamically calculated support and resistance levels to provide additional structural context for trade evaluation. These levels assist traders in identifying areas of potential reaction, consolidation, or continuation within prevailing market conditions. The indicator is designed for use on intraday timeframes and supports chart intervals ranging from 1-minute through 1-hour increments. Traders may adjust inputs based on their preferred timeframe and trading style. Rather than relying on a single signal source, the system aligns: • Trend direction • Momentum shifts • Volatility context • Classification-based signal filtering • Structural support and resistance context When predefined alignment criteria are met, the indicator generates structured A+ CALL or PUT labels. Trade management tools include adaptive take-profit levels, exit guidance, and a visual projection box to assist with discretionary decision-making. Key Features: • Hybrid trend + momentum + volatility framework • ML-inspired classification logic (Lorentzian + kNN concepts) • Dynamic support and resistance visualization • Structured A+ CALL / PUT signal identification • Adaptive take-profit ladder visualization • Dynamic exit guidance • Optional RTH filtering for intraday use • Customizable user inputs This indicator is designed as a decision-support tool. It does not execute trades and does not guarantee outcomes. The STP Elite Prediction System is intended for educational and analytical purposes only. Traders are responsible for their own risk management and trading decisions.
Pine Script®指标
由poiklk2724提供
Maxgem - Smart Flow V17.3 (Final)Smart Flow V17.3 Master Architecture Recommended 1-minute timeframe for cryptocurrencies; otherwise, you will unfortunately experience delays. ### How do we do it? * **Key Components:** * **Origin (Genesis):** White/blue dots (initial energy accumulation). * **Echo:** Small dots confirm vibration and trend memory. * **Scalping Arrows:** Yellow/Orange (immediate moment). * **SmartFlow Arrows:** White/Blue (deep tidal structural flow). * **Gold Signal:** Coincidence of both arrows = Gold Bag + Diamond (depends on the trend). * **Validators:** Moai Icon (🗿 - Solidity above the 200-period moving average) and Water Gun Icon (🔫 - Liquidity injection). * * **Exit:** "Cobwebs" (Trend Death/Exhaustion). * **Strategy:** Confluence of 200-period MA, 20-period MA, Awesome Oscillator, and RSI with its MA ## 1.1. Foundation Indicators (Genesis and Echo) Before the arrows, the system analyzes the subatomic structure of the price: * **Genesis Indicator (White/Blue Balls):** This is the **Origin** detector. These spheres appear when the algorithm detects an accumulation of energy at the base of the price. The white/blue ball marks the birth of a possible new direction before the rest of the market notices. * **Echo Indicator (Echoes):** These are the shock waves of the Origin. Once the Genesis pattern appears, the **Echo** indicators confirm that the price action remains healthy and that the movement has trend "memory," preventing you from entering impulses that fizzle out instantly. ## 1.2. The Arrow System (Scalping vs. SmartFlow) * **Scalping Arrows (Yellow/Purple):** Detect the **Immediate Momentum**. Based on the acceleration of the 20-period moving average (MA20) and the trigger of the RSI, they mark quick entries where the price has a "heartbeat" of strength that can be exploited for short-term trades. Alignment of the MA20, MA200, RSI, and Awesome indicator. * **SmartFlow Arrows (Blue/White):** Detect the **Structural Flow**. These arrows are heavier and filtered; they indicate that the underlying trend (the Smart Flow) has shifted. When you see a white or blue arrow, the major trend has aligned. ## 1.3. The Supreme Confluence: Gold and Diamond Signals When the **Origin (Genesis)**, **Scalping**, and **SmartFlow** align at a single point, the indicator triggers its highest alert level: * **Golden Bag (Golden Signal):** Appears when the Scalping and SmartFlow arrows coincide. Scientifically, this represents perfect synchronization between the short and medium term. * **Diamond:** This is the seal of ultimate purity. It appears in conjunction with the Gold Bag when the detected volume is unusually high, suggesting a move backed by massive liquidity. ## 1.4. Field Validators (Moai and Water Gun) To provide the user with psychological reassurance, the system adds validation icons: * **Moai Icon (🗿):** Represents **Structural Solidity**. It appears when the price is perfectly supported by the **200-day moving average** (our institutional compass) and there are no signs of weakness. It's the wall that protects your entry. * **Water Gun Icon (🔫):** Represents the **Liquidity Injection**. It indicates a sudden surge in volume that validates the Origin. It's confirmation that "fuel" is entering the engine at that precise moment. The "Flash" of Illumination (Moai + Water Gun): We designed this as a High-Intensity Visual Alert. Why does it light up more brightly?: When the Moai (Solidity) and the Water Gun (Volume) appear simultaneously, the indicator "turns on the lights" in the background (a brighter/more intense green or orange). The Scientific Reason: It's a Confirmation of Total Confluence. This means that there's not just an arrow signal, but the system has detected a volume spike and such strong structural support that the background lights up so you don't miss the entry. It's the warning: "Attention, there's real liquidity here!" ## 1.5. Green and Orange Backgrounds (The "Zone of Dominance") This background indicator isn't just for show; it represents the Logarithmic Probability Bias: Green Background: Indicates that the 20-period moving average (our momentum engine) has a positive slope and the price is holding above it. It's a tailwind for buying. Scientifically, we're in an upward expansion zone. Orange Background: Indicates that the slope is negative and the price is below it. It's a zone of selling pressure. Its function in the manual: It helps the user understand that if a Gold Bag pattern appears but the background is orange, the trade is riskier because it goes against the immediate momentum. ### The Persistence Filter (3-Minute Rule) Although the **Smart Flow V17.3** is extremely fast, the science behind the indicator suggests that a color change in the background is not just for show, but a sign of **flow dominance**. * **The Logic:** When the background lights up (Green for buys / Orange for sells) and that light **persists for at least three one-minute candles** (or a full three-minute candle), it means the movement has moved beyond a simple "heartbeat" and has become an **established trend**. * **Why it's safer:** If the background flickers and quickly goes out, it's likely a liquidity trap. But if it stays lit, it confirms that the **Origin (Genesis)** has managed to inject enough energy to move the price in a sustained manner. * **Why it's safer:** If the background flickers and goes out quickly, it's likely a liquidity trap. But if it stays lit, it confirms that the **Origin (Genesis)** has managed to inject enough energy to move the price in a sustained way. * **Relationship with Validators:** If the **Moai** or **Water Gun** pattern appears during those 3 minutes of a solid bottom, the probability of success for that **Bag of Gold** pattern increases dramatically, because the volume is supporting the duration of the move. In the **ETHUSDT 1m** charts, several moments are visible where the bottom remains solid green while the price rides above the **20-period moving average**, perfectly validating this persistence rule. This indicator is used in conjunction with my other indicators: Maxgem - Smartflow v17.3 (1) Pulse Scalper (1) Cyber-Prime Volume Profile (1) Ghost of Sparta v39 - Sincere (2) Smart FVG Liquidator - Institutional v5 (2) Modular System v6 - Core Bias by Max (2) It is recommended to use TradingView Plus to have two chart windows in one, for example, Ethereum in the first window and Bitcoin in the second. They are correlated. Also, have the indicators divided as listed and change the colors as desired. If you feel this has helped you improve your trading, send me money. I don't know if I should charge yet, but this strategy is very useful. USDT- TRON TRC20 TPS7qQFLZFS41p6DSDkJPDUFvDXeVuCKGw
Pine Script®指标
由MAXsegsaa提供
Compounding Wealth w/ Table by Pressley AltmanThis strategy functions as a sophisticated volatility-controlled barbell, designed to outpace the market by dynamically toggling between aggressive growth and defensive preservation. Instead of a rigid "all-or-nothing" exit, it employs a three-stage decompression—systematically shedding leverage and equity as trendlines break—to insulate the portfolio against deep drawdowns while hoarding liquidity. This sidelined capital is then weaponized during "Strike" events, where extreme technical oversold signals and peak market panic serve as a catalyst to deploy high-convexity LEAPS at deep discounts. By utilizing volatility-based re-entry (VIX) rather than waiting for lagging price averages to recover, the strategy captures the explosive initial phase of market bounces, effectively turning periods of chaos into the primary engine for long-term wealth compounding.
Pine Script®指标
由YourAnalyst提供
SMC Precision Concept V9 - ICT&SMC par GUIROA Stephane🛠️ Indicator Description: SMC Precision Concept This indicator is an algorithmic suite based on the concepts of the Inner Circle Trader (ICT) and Smart Money Concepts (SMC). Its role is to automate the reading of market structure and identify areas where large institutions (banks, funds) place their orders. 1. Quasimodo Structure (QM) - The "Key" to Reversals This indicator detects advanced market structure changes (MSB). Bullish QM: Appears when a new low is followed by an aggressive breakout to the upside. It draws a line on the left shoulder, where liquidity is captured before the rally. Bearish QM: Appears after a bullish "fake out" followed by a collapse. The red line indicates the institutional selling zone. 2. Open-Close Levels (OCL) - Tick Accuracy This is the concept of a "Price Action Flip." The indicator identifies specific candles where the price breaks out of the previous candle's open. Green Lines (OCL Bull): Signals strong immediate buying pressure. Orange Lines (OCL Bear): Signals a seller's takeover. 3. RBS & SBR Transitions - The Role Change The indicator tracks the psychological price action: RBS (Resistance Becomes Support): A former resistance level "A" that, once broken, becomes solid support (Blue Line). SBR (Support Becomes Resistance): A former support level "V" that, once broken, becomes a selling barrier (Orange Line). 4. "A" Peaks and "V" Troughs - Visual Mapping Based on the charts you provided, the indicator marks aggressive pivot points. The "A"s are sharp resistance levels (peaks). The "V"s are sharp support levels (troughs). This allows you to see at a glance the price levels that have triggered strong reactions in the past. 5. Order Blocks (OB) & Impulsivity The indicator doesn't draw just any block. It only marks a zone if the following candle is impulsive (based on the ATR). Green Zone: Institutional Buy Block (Demand Zone). Red Zone: Institutional Sell Block (Supply Zone). 6. Time Frame Security Filter (15m - Daily) To avoid analysis errors and the "noise" of smaller timeframes (1m, 5m), the indicator automatically deactivates on timeframes shorter than 15 minutes. This ensures you only work with solid and reliable structures. 💡 How to use it to win? The best strategy with this tool is Confluence: BUY SIGNAL: The price returns to a green Order Block, which is aligned with a RBS line and a Bull OcL. SELL SIGNAL: The price touches a Bearish QM line that overlaps with an A-Resistance and a Bear OcL.
Pine Script®指标
由stephneguiroa提供
STOCK Swing Maggie BUY/SELL (TradePulse + 52W Lines + BB)Daily Swing Maggie BUY/SELL is a multi-timeframe, ATR-based trading indicator that combines TradePulse trends, 52-week high/low/fair value levels, and Bollinger Bands to identify high-probability buy and sell signals. It features ATR stop-losses, risk-based position sizing, daily/weekly swing points, RSI filters, low-volatility zones, and a compact dashboard for quick trade state monitoring—perfect for swing and intraday traders seeking clear entries, exits, and trend visualization.
Pine Script®指标
由sundardavid提供
Maxgem - Smart Flow V17.3 (Final)# PART 1: Smart Flow V17.3 Master Architecture This system is a logarithmic confluence ecosystem designed to detect the **Origin** of institutional movements and track them through visual confirmations. ### How do we do it? Recommendation for a 1-minute timeframe for cryptocurrencies; otherwise, you will unfortunately experience delays. * **Key Components:** * **Origin (Genesis):** White/blue beads (initial energy accumulation). * **Echo:** Vibration confirmation and trend memory (small dots) * **Scalping Arrows:** Yellow/Orange (Immediate Moment). * **SmartFlow Arrows:** White/Blue (Deep tidal structural flow). * **Golden Signal:** Coincidence of both arrows = Gold Bag o Diamond (depend on the trend). * * **Validators:** Moai Icon (🗿 - Strength above the 200-period moving average) and Water Gun Icon (🔫 - Liquidity injection). * **Exit:** "Cobwebs" (Trend Death/Exhaustion). * **Strategy:** Confluence of the 200-period moving average, 20-period moving average, Awesome Oscillator, and RSI with its moving average. ## 1.1. Foundation Indicators (Genesis and Echo) Before the arrows, the system analyzes the subatomic structure of the price: * **Genesis Indicator (White/Blue Balls):** This is the **Origin** detector. These spheres appear when the algorithm detects an accumulation of energy at the base of the price. The white/blue ball marks the birth of a possible new direction before the rest of the market notices. * **Echo Indicator (Echoes):** These are the shock waves of the Origin. Once Genesis appears, the **Echo** indicators confirm that the price action remains healthy and that the movement has trend "memory," preventing you from entering impulses that fizzle out instantly. ## 1.2. The Arrow System (Scalping vs. SmartFlow) The indicator processes two market speeds simultaneously: * **Scalping Arrows (Yellow/Orange):** Detect the **Immediate Momentum**. Based on the acceleration of the 20-period moving average (MA20) and the trigger of the RSI, they mark quick entries where the price has a "heartbeat" of strength that can be exploited for short-term trades. Alignment of the MA20, MA200, RSI, and Awesome indicator. * **SmartFlow Arrows (Blue/White):** Detect the **Structural Flow**. These arrows are heavier and filtered; they indicate that the underlying trend (the Smart Flow) has shifted. When you see a white or blue arrow, the major trend has aligned. ## 1.3. The Supreme Confluence: Gold and Diamond Signal When the **Origin (Genesis)**, **Scalping**, and **SmartFlow** align at a single point, the indicator triggers its highest alert level: * **Golden Bag (Golden Signal):** Appears when the Scalping and SmartFlow arrows coincide simultaneously. Scientifically, this represents perfect synchronization between the short and medium term. * **Diamond:** This is the seal of ultimate purity. It appears in conjunction with the Gold Bag when the detected volume is unusually high, suggesting a move backed by massive liquidity. ## 1.4. Field Validators (Moai and Water Gun) To provide the user with psychological reassurance, the system adds validation icons: * **Moai Icon (🗿):** Represents **Structural Solidity**. It appears when the price is perfectly supported by the **200-day moving average** (our institutional compass) and there are no signs of weakness. It's the wall that protects your entry. * **Water Gun Icon (🔫):** Represents the **Liquidity Injection**. It indicates a sudden surge in volume that validates the Origin. It's confirmation that "fuel" is entering the engine at that precise moment. The "Flash" of Illumination (Moai + Water Gun): We designed this as a High-Intensity Visual Alert. Why does it light up more brightly?: When the Moai (Solidity) and the Water Gun (Volume) appear simultaneously, the indicator "turns on the lights" in the background (a brighter/more intense green or orange). The Scientific Reason: It's a Confirmation of Total Confluence. This means that there's not just an arrow signal, but the system has detected a volume spike and such strong structural support that the background lights up so you don't miss the entry. It's the warning: "Attention, there's real liquidity here!" # 1.5 Green and Orange Backgrounds (The "Zone of Dominance") This background indicator isn't just for show; it represents the Logarithmic Probability Bias: Green Background: Indicates that the 20-period moving average (our momentum engine) has a positive slope and the price is holding above it. It's a tailwind for buying. Scientifically, we're in an upward expansion zone. Orange Background: Indicates that the slope is negative and the price is below it. It's a zone of selling pressure. Its function in the manual: It helps the user understand that if a Gold Bag pattern appears but the background is orange, the trade is riskier because it goes against the immediate momentum. ### The Persistence Filter (3-Minute Rule) Although the **Smart Flow V17.3** is extremely fast, the science behind the indicator suggests that a color change in the background is not just for show, but a sign of **flow dominance**. * **The Logic:** When the background lights up (Green for buys / Orange for sells) and that light **persists for at least three one-minute candles** (or a full three-minute candle), it means the movement has moved beyond a simple "heartbeat" and has become an **established trend**. * **Why it's safer:** If the background flickers and quickly goes out, it's likely a liquidity trap. But if it stays lit, it confirms that the **Origin (Genesis)** has managed to inject enough energy to move the price in a sustained manner. * **Why it's safer:** If the background flickers and goes out quickly, it's likely a liquidity trap. But if it stays lit, it confirms that the **Origin (Genesis)** has managed to inject enough energy to move the price in a sustained way. * **Relationship with Validators:** If the **Moai** or **Water Gun** pattern appears during those 3 minutes of a solid bottom, the probability of success for that **Bag of Gold** pattern increases dramatically, because the volume is supporting the duration of the move. In the **ETHUSDT 1m** charts, several moments are visible where the bottom remains solid green while the price rides above the **20-period moving average**, perfectly validating this persistence rule.
Pine Script®指标
由MAXsegsaa提供