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Trend Volatility Index (TVI)Trend Volatility Index (TVI) A robust nonparametric oscillator for structural trend volatility detection ⸻ What is this? TVI is a volatility oscillator designed to measure the strength and emergence of price trends using nonparametric statistics. It calculates a U-statistic based on the Gini mean difference across multiple simple moving averages. This allows for objective, robust, and unbiased quantification of trend volatility in tick-scale values. ⸻ What can it do? • Quantify trend strength as a continuous value aligned with tick price scale • Detect trend breakouts and volatility expansions • Identify range-bound market states • Detect early signs of new trends with minimal lag ⸻ What can’t it do? • Predict future price levels • Predict trend direction before confirmation ⸻ How it works TVI computes a nonparametric dispersion metric (Gini mean difference) from multiple SMAs of different lengths. As this metric shares the same dimension as price ticks, it can be directly interpreted on the chart as a volatility gauge. The output is plotted using candlestick-style charts to enhance visibility of change rate and trend behavior. ⸻ Disclaimer TVI does not predict price. It is a structural indicator designed to support discretionary judgment. Trading carries inherent risk, and this tool does not guarantee profitability. Use at your own discretion. ⸻ Innovation This indicator introduces a novel approach to trend volatility by applying U-statistics over time series to produce a nonparametric, unbiased, and robust estimate of structural volatility. 日本語要約 Trend Volatility Index (TVI) は、ノンパラメトリックなU統計量（Gini平均差）を使ってトレンドの強度を客観的に測定することを目的に開発されたボラティリティ・オシレーターです。 ティック単位で連続的に変化し、トレンドのブレイク・レンジ・初動の予兆を定量的に検出します。 未来の価格や方向は予測せず、現在の構造的ばらつきだけをロバストに評価します。
Indicatore Pine Script®
di chikaharu
6
Liquidity Sweep DetectorThe Liquidity Sweep Detector represents a technical analysis tool specifically designed to identify market microstructure patterns typically associated with institutional trading activity. According to Harris (2003), institutional traders frequently employ tactics where they momentarily break through price levels to trigger stop orders before redirecting the market in the opposite direction. This phenomenon, commonly referred to as "stop hunting" or "liquidity sweeping," constitutes a significant aspect of institutional order flow analysis (Osler, 2003). The current implementation provides retail traders with a means to identify these patterns, potentially aligning their trading decisions with institutional movements rather than becoming victims of such strategies. Osler's (2003) research documents how stop-loss orders tend to cluster around significant price levels, creating concentrations of liquidity. Taylor (2005) argues that sophisticated institutional participants systematically exploit these liquidity clusters by inducing price movements that trigger these orders, subsequently profiting from the ensuing price reaction. The algorithmic detection of such patterns involves several key processes. First, the indicator identifies swing points—local maxima and minima—through comparison with historical price data within a definable lookback period. These swing points correspond to what Bulkowski (2011) describes as "significant pivot points" that frequently serve as liquidity zones where stop orders accumulate. The core detection algorithm utilizes a multi-stage process to identify potential sweeps. For high sweeps, it monitors when price exceeds a previous swing high by a specified threshold percentage, followed by a bearish candle that closes below the original swing high level. Conversely, for low sweeps, it detects when price drops below a previous swing low by the threshold percentage, followed by a bullish candle closing above the original swing low. As noted by Lo and MacKinlay (2011), these price patterns often emerge when large institutional players attempt to capture liquidity before initiating significant directional moves. The indicator maintains historical arrays of detected sweep events with their corresponding timestamps, enabling temporal analysis of market behavior following such events. Visual elements include horizontal lines marking sweep levels, background color highlighting for sweep events, and an information table displaying active sweeps with their corresponding price levels and elapsed time since detection. This visualization approach allows traders to quickly identify potential institutional activity without requiring complex interpretation of raw price data. Parameter customization includes adjustable lookback periods for swing point identification, sweep threshold percentages for signal sensitivity, and display duration settings. These parameters allow traders to adapt the indicator to various market conditions and timeframes, as markets demonstrate different liquidity characteristics across instruments and periods (Madhavan, 2000). Empirical studies by Easley et al. (2012) suggest that retail traders who successfully identify and act upon institutional liquidity sweeps may achieve superior risk-adjusted returns compared to conventional technical analysis approaches. However, as cautioned by Chordia et al. (2008), such patterns should be considered within broader market context rather than in isolation, as their predictive value varies significantly with overall market volatility and liquidity conditions. References: Bulkowski, T. (2011). Encyclopedia of Chart Patterns (2nd ed.). John Wiley & Sons. Chordia, T., Roll, R., & Subrahmanyam, A. (2008). Liquidity and market efficiency. Journal of Financial Economics, 87(2), 249-268. Easley, D., López de Prado, M., & O'Hara, M. (2012). Flow Toxicity and Liquidity in a High-frequency World. The Review of Financial Studies, 25(5), 1457-1493. Harris, L. (2003). Trading and Exchanges: Market Microstructure for Practitioners. Oxford University Press. Lo, A. W., & MacKinlay, A. C. (2011). A Non-Random Walk Down Wall Street. Princeton University Press. Madhavan, A. (2000). Market microstructure: A survey. Journal of Financial Markets, 3(3), 205-258. Osler, C. L. (2003). Currency Orders and Exchange Rate Dynamics: An Explanation for the Predictive Success of Technical Analysis. Journal of Finance, 58(5), 1791-1820. Taylor, M. P. (2005). Official Foreign Exchange Intervention as a Coordinating Signal in the Dollar-Yen Market. Pacific Economic Review, 10(1), 73-82.
Indicatore Pine Script®
di EdgeTools
[blackcat] L2 Market Risk MeterOVERVIEW The L2 Market Risk Meter is designed to evaluate market conditions using various technical indicators including Moving Averages (MA), Moving Average Convergence Divergence (MACD), and Bollinger Bands 📈🔍. By analyzing these elements, the script helps traders identify potential buying opportunities and assess the overall market sentiment more effectively. This comprehensive approach aids in making informed trading decisions by providing clear visual representations of critical market factors 🚀💸. Key components include the calculation of short-term and long-term moving averages, MACD lines, and Bollinger Bands, which are then used to plot histograms and labels directly on the chart. These visual cues assist traders in quickly interpreting complex market data, thereby enhancing their ability to navigate volatile markets and capitalize on emerging trends ✅✨. FEATURES Advanced Technical Analysis: Utilizes Short and Long Moving Averages (MAs) to capture different trend durations. Implements MACD for detecting changes in the strength, direction, momentum, and duration of a trend. Incorporates Bollinger Bands to measure volatility and provide dynamic support/resistance levels. Comprehensive Visualization: Generates colored histograms representing positive and negative MACD values. Displays labels indicating "Safe," "Risk," and "Buy" signals at crucial points on the chart. Flexible Settings: Allows customization of the short_ma_period and long_ma_period to tailor the analysis to individual trading styles or asset types. Provides configurable colors and styles for histograms and labels to suit personal preferences. Real-Time Feedback: Updates dynamically as new price data becomes available, ensuring timely insights. Facilitates rapid identification of shifts in market conditions through clear graphical outputs. HOW TO USE Adding the Indicator: Begin by adding the L2 Market Risk Meter to your chart on TradingView. You can do this via the "Pine Editor" located at the bottom of the screen. Simply copy-paste the script into the editor and click "Add to Chart." Configuring Parameters: Adjust the short_ma_period and long_ma_period inputs based on your preferred timeframes and strategies. For example, shorter periods will react faster but may be noisier, while longer periods offer smoother trends but slower reactions. Interpreting Histograms: Monitor the plotted histograms closely: Positive Values: Represent bullish momentum where the closing prices are higher than the moving average. Negative Values: Suggest bearish pressure when the closing prices fall below the moving average. Understanding Labels: Pay attention to generated labels for actionable insights: "Safe" Zone: Appears when the price crosses from below to above the lower Bollinger Band, suggesting reduced risk. "Risk" Zone: Indicates heightened caution if the price breaches upward from below the upper Bollinger Band. "Buy" Signal: Triggered under stringent bullish conditions combining all predefined criteria, signaling an opportune moment to enter long positions. Integrating with Other Tools: Use the L2 Market Risk Meter alongside other technical studies and fundamental analyses to corroborate findings and strengthen your trading strategy. Regular Review: Periodically revisit and tweak your parameters and interpretations in light of changing market environments and performance evaluations. LIMITATIONS Dependency on Historical Data: Since the indicator relies extensively on historical price movements, its predictions about future trends should be viewed cautiously. Not Standalone Solution: Like any other tool, it does not guarantee profitability and must be part of a holistic trading plan that includes multiple confirmation methods. Parameter Sensitivity: Optimal performance depends greatly on selecting appropriate MA period lengths; improper choices could lead to misleading signals. Volatility Assumptions: The effectiveness of Bollinger Bands varies across different market conditions, especially during low volatility phases where bands might fail to expand significantly. NOTES Understanding individual components such as MAs, MACDs, and Bollinger Bands is essential before fully depending on this script's output. Always backtest any new strategy incorporating this meter thoroughly against diverse market scenarios to gauge reliability. Consider employing supplementary filters like volume spikes or candlestick patterns to validate signals further. Be mindful of sudden news events or economic releases impacting asset prices independently of underlying trends highlighted here. THANKS A big thank you goes out to fellow members of the TradingView community who have contributed invaluable feedback and suggestions throughout the development process of this indicator 🙏. Your input has been instrumental in refining and improving the functionality and usability of the L2 Market Risk Meter. Continue sharing your experiences so we can collectively enhance our trading capabilities!
Indicatore Pine Script®
di blackcat1402
External Signals Strategy Tester v5External Signals Strategy Tester v5 – User Guide (English) 1. Purpose This Pine Script strategy is a universal back‑tester that lets you plug in any external buy/sell series (for example, another indicator, webhook feed, or higher‑time‑frame condition) and evaluate a rich set of money‑management rules around it – with a single click on/off workflow for every module. 2. Core Workflow Feed signals Buy Signal / Sell Signal inputs accept any series (price, boolean, output of request.security(), etc.). A crossover above 0 is treated as “signal fired”. Date filter Start Date / End Date restricts the test window so you can exclude unwanted history. Trade engine Optional Long / Short enable toggles. Choose whether opposite signals simply close the trade or reverse it (flip direction in one transaction). Risk modules – all opt‑in via check‑boxes Classic % block – fixed % Take‑Profit / Stop‑Loss / Break‑Even. Fibonacci Bollinger Bands (FBB) module Draws dynamic VWMA/HMA/SMA/EMA/DEMA/TEMA mid‑line with ATR‑scaled Fibonacci envelopes. Every line can be used for stops, trailing, or multi‑target exits. Separate LONG and SHORT sub‑modules Each has its own SL plus three Take‑Profits (TP1‑TP3). Per TP you set line, position‑percentage to close, and an optional trailing flag. Executed TP/SLs deactivate themselves so they cannot refire. Trailing behaviour If Trail is checked, the selected line is re‑evaluated once per bar; the order is amended via strategy.exit(). 3. Inputs Overview Group Parameter Notes Trade Settings Enable Long / Enable Short Master switches Close on Opposite / Reverse Position How to react to a counter‑signal Risk % Use TP / SL / BE + their % Traditional fixed‑distance management Fibo Bands FIBO LEVELS ENABLE + visual style/length Turn indicator overlay on/off FBB LONG SL / TP1‑TP3 Enable, Line, %, Trail Rules applied only while a long is open FBB SHORT SL / TP1‑TP3 Enable, Line, %, Trail Rules applied only while a short is open Line choices: Basis, 0.236, 0.382, 0.5, 0.618, 0.764, 1.0 – long rules use lower bands, short rules use upper bands automatically. 4. Algorithm Details Position open On the very first bar after entry, the script checks the direction and activates the corresponding LONG or SHORT module, deactivating the other. Order management loop (every bar) FBB Stop‑Loss: placed/updated at chosen band; if trailing, follows the new value. TP1‑TP3: each active target updates its limit price to the selected band (or holds static if trailing is off). The classic % block runs in parallel; its exits have priority because they call strategy.close_all(). Exit handling When any strategy.exit() fires, the script reads exit_id and flips the *_Active flag so that order will not be recreated. A Stop‑Loss (SL) also disables all remaining TPs for that leg. 5. Typical Use Cases Scenario Suggested Setup Scalping longs into VWAP‐reversion Enable LONG TP1 @ 0.382 (30 %), TP2 @ 0.618 (40 %), SL @ 0.236 + trailing Fade shorts during news spikes Enable SHORT SL @ 1.0 (no trail) and SHORT TP1,2,3 on consecutive lowers with small size‑outs Classic trend‑follow Use only classic % TP/SL block and disable FBB modules 6. Hints & Tips Signal quality matters – this script manages exits, it does not generate entries. Keep TV time zone in mind when picking start/end dates. For portfolio‑style testing allocate smaller default_qty_value than 100 % or use strategy.percent_of_equity sizing. You can combine FBB exits with fixed‑% ones for layered management. 7. Limitations / Safety No pyramiding; the script holds max one position at a time. All calculations are bar‑close; intra‑bar touches may differ from real‑time execution. The indicator overlay is optional, so you can run visual‑clean tests by unchecking FIBO LEVELS ENABLE.
Strategia Pine Script®
di RezzoRedPriest
EXODUS EXODUS by (DAFE) Trading Systems EXODUS is a sophisticated trading algorithm built by Dskyz (DAFE) Trading Systems for competitive and competition purposes, designed to identify high-probability trades with robust risk management. this strategy leverages a multi-signal voting system, combining three core components—SPR, VWMO, and VEI—alongside ADX, choppiness filters, and ATR-based volatility gates to ensure trades are taken only in favorable market conditions. the algo uses a take-profit to stop-loss ratio, dynamic position sizing, and a strict voting mechanism requiring all signals to align before entering a trade. EXODUS was not overfitted for any specific symbol. instead, it uses a generic tuned setting, making it versatile across various markets. while it can trade futures, it’s not currently set up for it but has the potential to do more with further development. visuals are intentionally minimal due to its competition focus, prioritizing performance over aesthetics. a more visually stunning version may be released in the future with enhanced graphics. The Unique Core Components Developed for EXODUS SPR (Session Price Recalibration) SPR measures momentum during regular trading hours (RTH, 0930-1600, America/New_York) to catch session-specific trends. spr_lookback = input.int(15, "SPR Lookback") this sets how many bars back SPR looks to calculate momentum (default 15 bars). it compares the current session’s price-volume score to the score 15 bars ago to gauge momentum strength. how it works: a longer lookback smooths out the signal, focusing on bigger trends. a shorter one makes SPR more sensitive to recent moves. how to adjust: on a 1-hour chart, 15 bars is 15 hours (about 2 trading days). if you’re on a shorter timeframe like 5 minutes, 15 bars is just 75 minutes, so you might want to increase it to 50 or 100 to capture more meaningful trends. if you’re trading a choppy stock, a shorter lookback (like 5) can help catch quick moves, but it might give more false signals. spr_threshold = input.float (0.7, "SPR Threshold") this is the cutoff for SPR to vote for a trade (default 0.7). if SPR’s normalized value is above 0.7, it votes for a long; below -0.7, it votes for a short. how it works: SPR normalizes its momentum score by ATR, so this threshold ensures only strong moves count. a higher threshold means fewer trades but higher conviction. how to adjust: if you’re getting too few trades, lower it to 0.5 to let more signals through. if you’re seeing too many false entries, raise it to 1.0 for stricter filtering. test on your chart to find a balance. spr_atr_length = input.int(21, "SPR ATR Length") this sets the ATR period (default 21 bars) used to normalize SPR’s momentum score. ATR measures volatility, so this makes SPR’s signal relative to market conditions. how it works: a longer ATR period (like 21) smooths out volatility, making SPR less jumpy. a shorter one makes it more reactive. how to adjust: if you’re trading a volatile stock like TSLA, a longer period (30 or 50) can help avoid noise. for a calmer stock, try 10 to make SPR more responsive. match this to your timeframe—shorter timeframes might need a shorter ATR. rth_session = input.session("0930-1600","SPR: RTH Sess.") rth_timezone = "America/New_York" this defines the session SPR uses (0930-1600, New York time). SPR only calculates momentum during these hours to focus on RTH activity. how it works: it ignores pre-market or after-hours noise, ensuring SPR captures the main market action. how to adjust: if you trade a different session (like London hours, 0300-1200 EST), change the session to match. you can also adjust the timezone if you’re in a different region, like "Europe/London". just make sure your chart’s timezone aligns with this setting. VWMO (Volume-Weighted Momentum Oscillator) VWMO measures momentum weighted by volume to spot sustained, high-conviction moves. vwmo_momlen = input.int(21, "VWMO Momentum Length") this sets how many bars back VWMO looks to calculate price momentum (default 21 bars). it takes the price change (close minus close 21 bars ago). how it works: a longer period captures bigger trends, while a shorter one reacts to recent swings. how to adjust: on a daily chart, 21 bars is about a month—good for trend trading. on a 5-minute chart, it’s just 105 minutes, so you might bump it to 50 or 100 for more meaningful moves. if you want faster signals, drop it to 10, but expect more noise. vwmo_volback = input.int(30, "VWMO Volume Lookback") this sets the period for calculating average volume (default 30 bars). VWMO weights momentum by volume divided by this average. how it works: it compares current volume to the average to see if a move has strong participation. a longer lookback smooths the average, while a shorter one makes it more sensitive. how to adjust: for stocks with spiky volume (like NVDA on earnings), a longer lookback (50 or 100) avoids overreacting to one-off spikes. for steady volume stocks, try 20. match this to your timeframe—shorter timeframes might need a shorter lookback. vwmo_smooth = input.int(9, "VWMO Smoothing") this sets the SMA period to smooth VWMO’s raw momentum (default 9 bars). how it works: smoothing reduces noise in the signal, making VWMO more reliable for voting. a longer smoothing period cuts more noise but adds lag. how to adjust: if VWMO is too jumpy (lots of false votes), increase to 15. if it’s too slow and missing trades, drop to 5. test on your chart to see what keeps the signal clean but responsive. vwmo_threshold = input.float(10, "VWMO Threshold") this is the cutoff for VWMO to vote for a trade (default 10). above 10, it votes for a long; below -10, a short. how it works: it ensures only strong momentum signals count. a higher threshold means fewer but stronger trades. how to adjust: if you want more trades, lower it to 5. if you’re getting too many weak signals, raise it to 15. this depends on your market—volatile stocks might need a higher threshold to filter noise. VEI (Velocity Efficiency Index) VEI measures market efficiency and velocity to filter out choppy moves and focus on strong trends. vei_eflen = input.int(14, "VEI Efficiency Smoothing") this sets the EMA period for smoothing VEI’s efficiency calc (bar range / volume, default 14 bars). how it works: efficiency is how much price moves per unit of volume. smoothing it with an EMA reduces noise, focusing on consistent efficiency. a longer period smooths more but adds lag. how to adjust: for choppy markets, increase to 20 to filter out noise. for faster markets, drop to 10 for quicker signals. this should match your timeframe—shorter timeframes might need a shorter period. vei_momlen = input.int(8, "VEI Momentum Length") this sets how many bars back VEI looks to calculate momentum in efficiency (default 8 bars). how it works: it measures the change in smoothed efficiency over 8 bars, then adjusts for inertia (volume-to-range). a longer period captures bigger shifts, while a shorter one reacts faster. how to adjust: if VEI is missing quick reversals, drop to 5. if it’s too noisy, raise to 12. test on your chart to see what catches the right moves without too many false signals. vei_threshold = input.float(4.5, "VEI Threshold") this is the cutoff for VEI to vote for a trade (default 4.5). above 4.5, it votes for a long; below -4.5, a short. how it works: it ensures only strong, efficient moves count. a higher threshold means fewer trades but higher quality. how to adjust: if you’re not getting enough trades, lower to 3. if you’re seeing too many false entries, raise to 6. this depends on your market—fast stocks like NQ1 might need a lower threshold. Features Multi-Signal Voting: requires all three signals (SPR, VWMO, VEI) to align for a trade, ensuring high-probability setups. Risk Management: uses ATR-based stops (2.1x) and take-profits (4.1x), with dynamic position sizing based on a risk percentage (default 0.4%). Market Filters: ADX (default 27) ensures trending conditions, choppiness index (default 54.5) avoids sideways markets, and ATR expansion (default 1.12) confirms volatility. Dashboard: provides real-time stats like SPR, VWMO, VEI values, net P/L, win rate, and streak, with a clean, functional design. Visuals EXODUS prioritizes performance over visuals, as it was built for competitive and competition purposes. entry/exit signals are marked with simple labels and shapes, and a basic heatmap highlights market regimes. a more visually stunning update may be released later, with enhanced graphics and overlays. Usage EXODUS is designed for stocks and ETFs but can be adapted for futures with adjustments. it performs best in trending markets with sufficient volatility, as confirmed by its generic tuning across symbols like TSLA, AMD, NVDA, and NQ1. adjust inputs like SPR threshold, VWMO smoothing, or VEI momentum length to suit specific assets or timeframes. Setting I used: (Again, these are a generic setting, each security needs to be fine tuned) SPR LB = 19 SPR TH = 0.5 SPR ATR L= 21 SPR RTH Sess: 9:30 – 16:00 VWMO L = 21 VWMO LB = 18 VWMO S = 6 VWMO T = 8 VEI ES = 14 VEI ML = 21 VEI T = 4 R % = 0.4 ATR L = 21 ATR M (S) =1.1 TP Multi = 2.1 ATR min mult = 0.8 ATR Expansion = 1.02 ADX L = 21 Min ADX = 25 Choppiness Index = 14 Chop. Max T = 55.5 Backtesting: TSLA Frame: Jan 02, 2018, 08:00 — May 01, 2025, 09:00 Slippage: 3 Commission .01 Disclaimer this strategy is for educational purposes. past performance is not indicative of future results. trading involves significant risk, and you should only trade with capital you can afford to lose. always backtest and validate any strategy before using it in live markets. (This publishing will most likely be taken down do to some miscellaneous rule about properly displaying charting symbols, or whatever. Once I've identified what part of the publishing they want to pick on, I'll adjust and repost.) About the Author Dskyz (DAFE) Trading Systems is dedicated to building high-performance trading algorithms. EXODUS is a product of rigorous research and development, aimed at delivering consistent, and data-driven trading solutions. Use it with discipline. Use it with clarity. Trade smarter. **I will continue to release incredible strategies and indicators until I turn this into a brand or until someone offers me a contract. 2025 Created by Dskyz, powered by DAFE Trading Systems. Trade smart, trade bold.
Strategia Pine Script®
di DskyzInvestments
2
Rawstocks 15 Minute ModelRawstocks 15-Minute Model The Rawstocks 15-Minute Model is a precision intraday trading strategy designed for the US stock market (9:30 AM - 4:00 PM ET), optimized for the 15-minute timeframe. It combines institutional order flow concepts with Fibonacci retracements to identify high-probability reversal setups while enforcing strict risk management and session-based rules. Key Features Time-Based Execution Trading Hours: 9:30 AM - 4:00 PM ET (no new entries after 4:00 PM) Force Close: All positions auto-exit at 4:30 PM ET (prevents overnight risk) Entry Logic Order Block + Fib Confluence: Identifies institutional order blocks (previous swing highs/lows) Requires price pullback to 61.8% or 79% Fibonacci level Liquidity Confirmation: Waits for stop runs (liquidity sweeps) before reversal entries Exit Rules Stop Loss: 1x ATR (14) from entry Take Profit: 2:1 Risk-Reward (adjustable) Visual Signals Green Triangle: Valid long setup (pullback to bullish OB + Fib) Red Triangle: Valid short setup (pullback to bearish OB + Fib) Blue/Purple Background: Highlights active trading vs. close period How It Works Identify the Setup Wait for a strong impulse move (break of structure) Mark the order block (institutional zone) Confirm Pullback Price must retrace to 61.8% or 79% Fib level Must occur within trading hours (9:30 AM - 4:00 PM) Enter on Confirmation Long: Break of pullback candle high (stop below recent swing low) Short: Break of pullback candle low (stop above recent swing high) Manage the Trade Trail stop or exit at 2R (risk-to-reward) All positions close at 4:30 PM sharp
Strategia Pine Script®
di Rawstocks
SMC Entry Signals MTF v2📘 User Guide for the SMC Entry Signals MTF v2 Indicator 🎯 Purpose of the Indicator This indicator is designed to identify reversal entry points based on Smart Money Concepts (SMC) and candlestick confirmation. It’s especially useful for traders who use: Imbalance zones, order blocks, breaker blocks Liquidity grabs Multi-timeframe confirmation (MTF) 📈 How to Use the Signals on the Chart ✅ LONG Signal (green triangle below the candle): Conditions: Price is in a discount zone (below the FIB 50% level) A bullish engulfing candle appears A bullish Order Block (OB) or Breaker Block is detected There’s an upward imbalance A bullish OB is confirmed on the higher timeframe ➡️ How to act: Consider entering long on the current or next candle. Place your stop-loss below the OB or the nearest swing low. Take profit at the nearest liquidity zone or premium area (above FIB 50%). 🔻 SHORT Signal (red triangle above the candle): Conditions: Price is in a premium zone (above FIB 50%) A bearish engulfing candle appears A bearish OB or Breaker Block is detected There’s a downward imbalance A bearish OB is confirmed on the higher timeframe ➡️ How to act: Consider short entry after the signal. Place your stop-loss above the OB or swing high. Target the discount zone or the next liquidity pocket. ⚙️ Recommended Settings by Trading Style Trading Style Suggested Settings Notes Intraday (1–15m) fibLookback = 20–50, obLookback = 5–10, htf_tf = 1H/4H Fast signals. Use Discount/Premium + Engulfing. Swing/Position (1H–1D) fibLookback = 50–100, obLookback = 10–20, htf_tf = 1D/1W Higher trust in MTF confirmation. Ideal with fundamentals. Scalping (1m) fibLookback = 10–20, obLookback = 3–5, htf_tf = 15m/1H Remove Breaker and MTF for quick reaction trades. 🧠 Best Practices for Traders Trend Filtering: Use EMAs or volume to confirm the current trend. Take longs only in uptrends, shorts in downtrends. Liquidity Zones: Use this indicator after liquidity grabs. OBs and Breakers often appear right after stop hunts. Combine with Manual Zones: This works best when paired with manually drawn OBs and key levels. Backtest the Signals: Use Bar Replay mode on TradingView to test past signals. 🧪 Example Trade Setup Example on BTCUSDT 15m: Price drops into the discount zone. A green triangle appears (bullish engulfing + OB + imbalance + HTF OB). You enter long, stop below the OB, target the premium zone. 🎯 This type of setup often gives a risk/reward ratio of 1:2 or better — profitable even with a 40% win rate. ⏰ Alerts & Automation Enable alerts: "SMC Long Entry" — fires when a long signal appears. "SMC Short Entry" — fires when a short signal appears. You can integrate this with bots via webhook, like: TradingConnector, 3Commas, Alertatron, etc. ✅ What This Indicator Gives You High-probability entries using SMC logic Customizable filters for entry logic Multi-timeframe confirmation for stronger setups Suitable for both intraday and swing trading
Indicatore Pine Script®
di bauer_reg77
ADR% Extension Levels from SMA 50I created this indicator inspired by RealSimpleAriel (a swing trader I recommend following on X) who does not buy stocks extended beyond 4 ADR% from the 50 SMA and uses extensions from the 50 SMA at 7-8-9-10-11-12-13 ADR% to take profits with a 20% position trimming. RealSimpleAriel's strategy (as I understood it): -> Focuses on leading stocks from leading groups and industries, i.e., those that have grown the most in the last 1-3-6 months (see on Finviz groups and then select sector-industry). -> Targets stocks with the best technical setup for a breakout, above the 200 SMA in a bear market and above both the 50 SMA and 200 SMA in a bull market, selecting those with growing Earnings and Sales. -> Buys stocks on breakout with a stop loss set at the day's low of the breakout and ensures they are not extended beyond 4 ADR% from the 50 SMA. -> 3-5 day momentum burst: After a breakout, takes profits by selling 1/2 or 1/3 of the position after a 3-5 day upward move. -> 20% trimming on extension from the 50 SMA: At 7 ADR% (ADR% calculated over 20 days) extension from the 50 SMA, takes profits by selling 20% of the remaining position. Continues to trim 20% of the remaining position based on the stock price extension from the 50 SMA, calculated using the 20-period ADR%, thus trimming 20% at 8-9-10-11 ADR% extension from the 50 SMA. Upon reaching 12-13 ADR% extension from the 50 SMA, considers the stock overextended, closes the remaining position, and evaluates a short. -> Trailing stop with ascending SMA: Uses a chosen SMA (10, 20, or 50) as the definitive stop loss for the position, depending on the stock's movement speed (preferring larger SMAs for slower-moving stocks or for long-term theses). If the stock's closing price falls below the chosen SMA, the entire position is closed. In summary: -->Buy a breakout using the day's low of the breakout as the stop loss (this stop loss is the most critical). --> Do not buy stocks extended beyond 4 ADR% from the 50 SMA. --> Sell 1/2 or 1/3 of the position after 3-5 days of upward movement. --> Trim 20% of the position at each 7-8-9-10-11-12-13 ADR% extension from the 50 SMA. --> Close the entire position if the breakout fails and the day's low of the breakout is reached. --> Close the entire position if the price, during the rise, falls below a chosen SMA (10, 20, or 50, depending on your preference). --> Definitively close the position if it reaches 12-13 ADR% extension from the 50 SMA. I used Grok from X to create this indicator. I am not a programmer, but based on the ADR% I use, it works. Below is Grok from X's description of the indicator: Script Description The script is a custom indicator for TradingView that displays extension levels based on ADR% relative to the 50-period Simple Moving Average (SMA). Below is a detailed description of its features, structure, and behavior: 1. Purpose of the Indicator Name: "ADR% Extension Levels from SMA 50". Objective: Draw horizontal blue lines above and below the 50-period SMA, corresponding to specific ADR% multiples (4, 7, 8, 9, 10, 11, 12, 13). These levels represent potential price extension zones based on the average daily percentage volatility. Overlay: The indicator is overlaid on the price chart (overlay=true), so the lines and SMA appear directly on the price graph. 2. Configurable Inputs The indicator allows users to customize parameters through TradingView settings: SMA Length (smaLength): Default: 50 periods. Description: Specifies the number of periods for calculating the Simple Moving Average (SMA). The 50-period SMA serves as the reference point for extension levels. Constraint: Minimum 1 period. ADR% Length (adrLength): Default: 20 periods. Description: Specifies the number of days to calculate the moving average of the daily high/low ratio, used to determine ADR%. Constraint: Minimum 1 period. Scale Factor (scaleFactor): Default: 1.0. Description: An optional multiplier to adjust the distance of extension levels from the SMA. Useful if levels are too close or too far due to an overly small or large ADR%. Constraint: Minimum 0.1, increments of 0.1. Tooltip: "Adjust if levels are too close or far from SMA". 3. Main Calculations 50-period SMA: Calculated with ta.sma(close, smaLength) using the closing price (close). Serves as the central line around which extension levels are drawn. ADR% (Average Daily Range Percentage): Formula: 100 * (ta.sma(dhigh / dlow, adrLength) - 1). Details: dhigh and dlow are the daily high and low prices, obtained via request.security(syminfo.tickerid, "D", high/low) to ensure data is daily-based, regardless of the chart's timeframe. The dhigh / dlow ratio represents the daily percentage change. The simple moving average (ta.sma) of this ratio over 20 days (adrLength) is subtracted by 1 and multiplied by 100 to obtain ADR% as a percentage. The result is multiplied by scaleFactor for manual adjustments. Extension Levels: Defined as ADR% multiples: 4, 7, 8, 9, 10, 11, 12, 13. Stored in an array (levels) for easy iteration. For each level, prices above and below the SMA are calculated as: Above: sma50 * (1 + (level * adrPercent / 100)) Below: sma50 * (1 - (level * adrPercent / 100)) These represent price levels corresponding to a percentage change from the SMA equal to level * ADR%. 4. Visualization Horizontal Blue Lines: For each level (4, 7, 8, 9, 10, 11, 12, 13 ADR%), two lines are drawn: One above the SMA (e.g., +4 ADR%). One below the SMA (e.g., -4 ADR%). Color: Blue (color.blue). Style: Solid (style=line.style_solid). Management: Each level has dedicated variables for upper and lower lines (e.g., upperLine1, lowerLine1 for 4 ADR%). Previous lines are deleted with line.delete before drawing new ones to avoid overlaps. Lines are updated at each bar with line.new(bar_index , level, bar_index, level), covering the range from the previous bar to the current one. Labels: Displayed only on the last bar (barstate.islast) to avoid clutter. For each level, two labels: Above: E.g., "4 ADR%", positioned above the upper line (style=label.style_label_down). Below: E.g., "-4 ADR%", positioned below the lower line (style=label.style_label_up). Color: Blue background, white text. 50-period SMA: Drawn as a gray line (color.gray) for visual reference. Diagnostics: ADR% Plot: ADR% is plotted in the status line (orange, histogram style) to verify the value. ADR% Label: A label on the last bar near the SMA shows the exact ADR% value (e.g., "ADR%: 2.34%"), with a gray background and white text. 5. Behavior Dynamic Updating: Lines update with each new bar to reflect new SMA 50 and ADR% values. Since ADR% uses daily data ("D"), it remains constant within the same day but changes day-to-day. Visibility Across All Bars: Lines are drawn on every bar, not just the last one, ensuring visibility on historical data as well. Adaptability: The scaleFactor allows level adjustments if ADR% is too small (e.g., for low-volatility symbols) or too large (e.g., for cryptocurrencies). Compatibility: Works on any timeframe since ADR% is calculated from daily data. Suitable for symbols with varying volatility (e.g., stocks, forex, cryptocurrencies). 6. Intended Use Technical Analysis: Extension levels represent significant price zones based on average daily volatility. They can be used to: Identify potential price targets (e.g., take profit at +7 ADR%). Assess support/resistance zones (e.g., -4 ADR% as support). Measure price extension relative to the 50 SMA. Trading: Useful for strategies based on breakouts or mean reversion, where ADR% levels indicate reversal or continuation points. Debugging: Labels and ADR% plot help verify that values align with the symbol’s volatility. 7. Limitations Dependence on Daily Data: ADR% is based on daily dhigh/dlow, so it may not reflect intraday volatility on short timeframes (e.g., 1 minute). Extreme ADR% Values: For low-volatility symbols (e.g., bonds) or high-volatility symbols (e.g., meme stocks), ADR% may require adjustments via scaleFactor. Graphical Load: Drawing 16 lines (8 upper, 8 lower) on every bar may slow the chart for very long historical periods, though line management is optimized. ADR% Formula: The formula 100 * (sma(dhigh/dlow, Length) - 1) may produce different values compared to other ADR% definitions (e.g., (high - low) / close * 100), so users should be aware of the context. 8. Visual Example On a chart of a stock like TSLA (daily timeframe): The 50 SMA is a gray line tracking the average trend. Assuming an ADR% of 3%: At +4 ADR% (12%), a blue line appears at sma50 * 1.12. At -4 ADR% (-12%), a blue line appears at sma50 * 0.88. Other lines appear at ±7, ±8, ±9, ±10, ±11, ±12, ±13 ADR%. On the last bar, labels show "4 ADR%", "-4 ADR%", etc., and a gray label shows "ADR%: 3.00%". ADR% is visible in the status line as an orange histogram. 9. Code: Technical Structure Language: Pine Script @version=5. Inputs: Three configurable parameters (smaLength, adrLength, scaleFactor). Calculations: SMA: ta.sma(close, smaLength). ADR%: 100 * (ta.sma(dhigh / dlow, adrLength) - 1) * scaleFactor. Levels: sma50 * (1 ± (level * adrPercent / 100)). Graphics: Lines: Created with line.new, deleted with line.delete to avoid overlaps. Labels: Created with label.new only on the last bar. Plots: plot(sma50) for the SMA, plot(adrPercent) for debugging. Optimization: Uses dedicated variables for each line (e.g., upperLine1, lowerLine1) for clear management and to respect TradingView’s graphical object limits. 10. Possible Improvements Option to show lines only on the last bar: Would reduce visual clutter. Customizable line styles: Allow users to choose color or style (e.g., dashed). Alert for anomalous ADR%: A message if ADR% is too small or large. Dynamic levels: Allow users to specify ADR% multiples via input. Optimization for short timeframes: Adapt ADR% for intraday timeframes. Conclusion The script creates a visual indicator that helps traders identify price extension levels based on daily volatility (ADR%) relative to the 50 SMA. It is robust, configurable, and includes debugging tools (ADR% plot and labels) to verify values. The ADR% formula based on dhigh/dlow
Indicatore Pine Script®
di stockmaniac696
Sweep Reversal 5M PRO – by [TuNombre]🔹 **Sweep Reversal 5M PRO – by ** 🔹 This indicator is built to detect high-probability *Institutional Sweeps* using Swing Failure Patterns (SFP), fully filtered with Smart Money Concepts (SMC) logic and volume confirmation. ✅ Identifies key liquidity grabs ✅ Confirms with strong impulse candle + increasing volume ✅ Filters out false signals (doji, weak zones, low volume) ✅ Optimized for the 5-minute timeframe (5M) ✅ Compatible with push alerts to your mobile --- **How to use it:** 1. Wait for a “BUY” or “SELL” signal on the chart 2. Only enter if the next candle confirms with momentum 3. Place a tight stop just beyond the sweep 4. Recommended Take Profit: 1:1 minimum / 2:1 ideal --- 💡 Inspired by institutional trading (SMC, ICT-style setups) 🔒 Developed by – private or team-based use 📲 Activate alerts to get real-time trade opportunities on your phone --- ⚠️ This script does not repaint. Built for serious traders who want precision, not noise.
Indicatore Pine Script®
di david_garcia01
2
Bitcoin NUPL IndicatorThe Bitcoin NUPL (Net Unrealized Profit/Loss) Indicator is a powerful metric that shows the difference between Bitcoin's market cap and realized cap as a percentage of market cap. This indicator helps identify different market cycle phases, from capitulation to euphoria. // How It Works NUPL measures the aggregate profit or loss held by Bitcoin investors, calculated as: ``` NUPL = ((Market Cap - Realized Cap) / Market Cap) * 100 ``` // Market Cycle Phases The indicator automatically color-codes different market phases: • **Deep Red (< 0%)**: Capitulation Phase - Most coins held at a loss, historically excellent buying opportunities • **Orange (0-25%)**: Hope & Fear Phase - Early accumulation, price uncertainty and consolidation • **Yellow (25-50%)**: Optimism & Anxiety Phase - Emerging bull market, increasing confidence • **Light Green (50-75%)**: Belief & Denial Phase - Strong bull market, high conviction • **Bright Green (> 75%)**: Euphoria & Greed Phase - Potential market top, historically good profit-taking zone // Features • Real-time NUPL calculation with customizable smoothing • RSI indicator for additional momentum confirmation • Color-coded background reflecting current market phase • Reference lines marking key transition zones • Detailed metrics table showing NUPL value, market sentiment, market cap, realized cap, and RSI // Strategy Applications • **Long-term investors**: Use extreme negative NUPL values (deep red) to identify potential bottoms for accumulation • **Swing traders**: Look for transitions between phases for potential trend changes • **Risk management**: Consider taking profits when entering the "Euphoria & Greed" phase (bright green) • **Mean reversion**: Watch for overbought/oversold conditions when NUPL reaches historical extremes // Settings • **RSI Length**: Adjusts the period for RSI calculation • **NUPL Smoothing Length**: Applies moving average smoothing to reduce noise // Notes • Premium TradingView subscription required for Glassnode and Coin Metrics data • Best viewed on daily timeframes for macro analysis • Historical NUPL extremes have often marked cycle bottoms and tops • Use in conjunction with other indicators for confirmation
Indicatore Pine Script®
di toeron
Triple Confirmation Scalper v2 - Alarm CompatibleTriple Confirmation Scalper Strategy A high-probability scalping strategy combining trend momentum, overbought/sold conditions, and volume confirmation to filter low-noise signals. 📊 Strategy Logic Trend Direction Dual EMA crossover (9 & 21 periods) for momentum and trend bias. Overbought/Oversold Zones RSI (14-period) to avoid entries at extremes. Volume Spike Filter OBV + 20-period volume average to confirm breakout validity. Dynamic Risk Management Stop-loss: Adaptive to recent price action (5-candle low/high ±1%). Take-profit: 1.5% target (1.5:1 risk/reward). 🔍 Advanced Features Precision VWAP (20-period, HLC3-based) for dynamic S/R levels. Visual Aids: EMA/VWAP bands + trend-colored background. Volume spike alerts. TradingView Alerts pre-configured for long/short signals. ⚙️ Default Settings Commission: 0.1% factored into backtests. Mode: Supports both long/short positions. ⚠️ Disclaimer This is a technical analysis tool, not financial advice. Past performance ≠ future results. Test thoroughly in a demo account. Adjust parameters (e.g., EMA periods, RSI thresholds) to match your risk tolerance. ✅ TradingView Compliance Notes: No exaggerated claims (e.g., "100% win rate"). Clear disclaimer included. Focus on objective strategy logic (no promotional language).
Indicatore Pine Script®
di prepheadrus
TrendTwisterV1.5 (Forex Ready + Indicators)A Precision Trend-Following TradingView Strategy for Forex** HullShiftFX is a Pine Script strategy for TradingView that combines the power of the **Hull Moving Average (HMA)** and a **shifted Exponential Moving Average (EMA)** with multi-layered momentum filters including **RSI** and **dual Stochastic Oscillators**. It’s designed for traders looking to catch high-probability breakouts with tight risk management and visual clarity. Chart settings: 1. Select "Auto - Fits data to screen" 2. Please Select "Scale Price Chart Only" (To make the chart not squished) ### ✅ Entry Conditions **Long Position:** - Price closes above the 12-period Hull Moving Average. - Price closes above the 5-period EMA shifted forward by 2 bars. - RSI is above 50. - Stochastic Oscillator (12,3,3) %K is above 50. - Stochastic Oscillator (5,3,3) %K is above 50. - Hull MA crosses above the shifted EMA. **Short Position:** - Price closes below the 12-period Hull Moving Average. - Price closes below the 5-period EMA shifted forward by 2 bars. - RSI is below 50. - Stochastic Oscillator (12,3,3) %K is below 50. - Stochastic Oscillator (5,3,3) %K is below 50. - Hull MA crosses below the shifted EMA. --- ## 📉 Risk Management - **Stop Loss:** Set at the low (for long) or high (for short) of the previous 2 candles. - **Take Profit:** Calculated at a risk/reward ratio of **1.65x** the stop loss distance. --- ## 📊 Indicators Used - **Hull Moving Average (12)** - **Exponential Moving Average (5) ** - **Relative Strength Index (14)** - **Stochastic Oscillators:** - %K (12,3,3) - %K (5,3,3)
Strategia Pine Script®
di adan0327
Dkoderweb repainting issue fix strategyHarmonic Pattern Recognition Trading Strategy This TradingView strategy called "Dkoderweb repainting issue fix strategy" is designed to identify and trade harmonic price patterns with optimized entry and exit points using Fibonacci levels. The strategy implements various popular harmonic patterns including Bat, Butterfly, Gartley, Crab, Shark, ABCD, and their anti-patterns. Key Features Pattern Recognition: Identifies 17+ harmonic price patterns including standard and anti-patterns Fibonacci-Based Entries and Exits: Uses customizable Fibonacci levels for precision entries, take profits, and stop losses Alternative Timeframe Analysis: Option to use higher timeframes for pattern identification Heiken Ashi Support: Optional use of Heiken Ashi candles instead of regular candlesticks Visual Indicators: Pattern visualization with ZigZag indicator Buy/sell signal markers Color-coded background to highlight active trade zones Customizable Fibonacci level display How It Works The strategy uses a ZigZag-based pattern identification system to detect pivot points When a valid harmonic pattern forms, the strategy calculates the optimal entry window using the specified Fibonacci level (default 0.382) Entries trigger when price returns to the entry window after pattern completion Take profit and stop loss levels are automatically set based on customizable Fibonacci ratios Visual alerts notify you of entries and exits The strategy tracks active trades and displays them with background color highlights Customizable Settings Trade size Entry window Fibonacci level (default 0.382) Take profit Fibonacci level (default 0.618) Stop loss Fibonacci level (default -0.618) Alert messages for entries and exits Display options for specific Fibonacci levels Alternative timeframe selection This strategy is designed to fix repainting issues that are common in harmonic pattern strategies, ensuring more reliable signals and backtesting results.
Strategia Pine Script®
di dharmeshchudasma9
10
Daily Bollinger Band StrategyOverview of the Daily Bollinger Band Strategy 1. Strategy Overview and Features This strategy is a tool for backtesting a trading method that uses Bollinger Bands. It is *not* a tool for automated trading. 1-1. Main Display Items The main chart displays the Bollinger Bands and the 200-day moving average. It also shows the entry and exit points along with the position size (in units of 100 shares). 1-2. Summary of Trading Rules For long (buy) strategies, the trade enters when the price crosses above the +1σ line of the Bollinger Bands, aiming to ride an upward trend. The position is exited when the price crosses below the middle band. For short (sell) strategies, the trade enters when the price crosses below the -1σ line of the Bollinger Bands, aiming to ride a downward trend. The position is exited when the price crosses above the middle band. 1-3. Strategic Enhancements The strategy uses the slope of the 200-day moving average to determine the trend direction and enter trades accordingly. This improves the win rate and payoff ratio. Additionally, to reduce the probability of ruin, the risk per trade is limited to 1.0% of capital, and position sizing is adjusted using ATR (a volatility indicator). 2. Trading Rules 2-1. Chart Type Only daily charts are used. 2-2. Indicators Used (1) Bollinger Bands** (used for entry and exit signals) - Period: Fixed at 80 days - Upper and lower bands: Fixed at ±1σ (2) Moving Average** (used to determine trend direction) - Period: Fixed at 200 days - Trend direction is judged based on whether the difference from the previous day is positive (upward) or negative (downward) 2-3. Buy Rules Setup: - Price crosses above the +1σ line from below - Both the middle band and 200-day moving average are upward sloping Entry: - Buy at the next day’s market open using a market order Exit: - If the price crosses below the middle band, sell at the next day’s open using a market order 2-4. Sell Rules Setup: - Price crosses below the -1σ line from above - Both the middle band and 200-day moving average are downward sloping Entry: - Sell at the next day’s market open using a market order Exit: - If the price crosses above the middle band, buy back at the next day’s open using a market order 2-5. Risk Management Rules - Risk per trade: 1.0% of total capital (acceptable loss = capital × 1.0%) - Position size: Acceptable loss ÷ 2ATR (rounded down to the nearest unit of 100 shares) 2-6. Other Notes - No brokerage fees - No pyramiding - No partial exits - No reverse positions (no “stop-and-reverse” trades) 3. Strategy Parameters The following settings can be specified: 3-1. Period Settings - Start date: Set the start date for the backtest period - Stop date: Set the end date for the backtest period 3-2. Display of Trend and Signals - Show trend: When checked, the background color of the bars is light red for an uptrend and light blue for a downtrend - Show signal: When checked, entry and exit signals are displayed (note: signals are executed at the next day’s open, so there is a one-day lag in the display) 3-3. Capital Management Settings - Funds: Capital available for trading (in JPY) - Risk rate: Specify what percentage of the capital to risk per trade Settings in the “Properties” tab are not used in this strategy. 4. Backtest Results (Example) Here are the backtest results conducted by the author: - Target Stocks: All components of the Nikkei 225 - Test Period: January 4, 2000 – December 30, 2024 - Data Points: 12,886 - Win Rate: 33.45% - Net Profit: ¥82,132,380 - Payoff Ratio: 2.450 - Expected Value: ¥6,373.8 - Risk Rate: 1.0% - Probability of Ruin: 0.00% --- デイリー・ボリンジャーバンド・ストラテジーの概要 1. ストラテジーの概要と特徴 このストラテジーは、ボリンジャーバンドを使ったトレード手法のバックテストを行うツールです。自動売買を行うツールではありません。 1-1. 主な表示項目 メインチャートにボリンジャーバンドと 200日移動平均線を表示します。 また、エントリーと手仕舞いのタイミングと数量（100株単位）も表示されます。 1-2. トレードルールの概要 買い戦略の場合、ボリンジャーバンドの +1σ 超えでエントリーして上昇トレンドに乗り、ミドルバンドを割ったら決済します。 売り戦略の場合、ボリンジャーバンドの -1σ 割りでエントリーして下降トレンドに乗り、ミドルバンドを上抜けたら決済します。 1-3. ストラテジーの工夫点 200日移動平均線の傾きを見てトレンド方向にエントリーをしています。こうして勝率とペイオフレシオの成績を向上しています。 また、破産確率を抑えるために、リスク資金比率を 1.0% にして、ATR（ボラティリティ指標） を使って注文数を調整しています。 2. 売買ルール 2-1. 使用するチャート 日足チャートに限定します 2-2. 使用する指標 (1) ボリンジャーバンド（仕掛けと手仕舞いのシグナルに使用） 期間は80日に固定 上下バンドは ±1σ に固定 (2) 移動平均線（トレンドの方向を見るために使用） 期間は200日に固定 移動平均の値の前日との差がプラスのとき上向き、マイナスのとき下向きと判断 2-3. 買いのルール セットアップ：ボリンジャーバンドの +1σ を価格が下から上に交差 かつ ミドルバンドと 200日移動平均線が上向き 仕掛け：翌日の寄り付きに成行で買う 手仕舞い：ボリンジャーバンドのミドルバンドを価格が上から下に交差したら、翌日の寄り付きに成行で売る 2-4. 売りのルール セットアップ：ボリンジャーバンドの -1σ を価格が上から下に交差 かつ ミドルバンドと 200日移動平均線が下向き 仕掛け：翌日の寄り付きに成行で売る 手仕舞い：ボリンジャーバンドのミドルバンドを価格が下から上に交差したら、翌日の寄り付きに成行で買い戻す 2-5. 資金管理のルール リスク資金比率：資産の 1.0%（許容損失 = 資産 × 1.0%） 注文数：許容損失 ÷ 2ATR（単元株数未満は切り捨て） 2-6. その他 仲介手数料：なし ピラミッディング：なし 分割決済：なし ドテン：しない 3. ストラテジーのパラメーター 次の項目が指定できます。 3-1. 期間の設定 Staer date : バックテストの検証期間の開始日を指定します Stop date : バックテストの検証期間の終了日を指定します 3-2. トレンドとシグナルの表示 Show trend : チェックを入れると、バーの背景色が、トレンドが上昇のときは薄い赤で、下落のときは薄い青で表示されます Show signal : チェックを入れると、エントリーと手仕舞いのシグナルを表示します（シグナルの出た翌日の寄り付きに売買をするので表示に1日のずれがあります） 3-3. 資金管理用の設定 Funds : トレード用の資金(円) Risk rate : 許容損失を資金の何%にするかで指定します 「プロパティタブ」で設定する値は、このストラテジーでは有効ではありません。 4. バックテストの結果（例） 作者がバックテストを実施した結果をお知らせします。 対象銘柄：日経225構成銘柄すべて 対象期間：2000年1月4日～2024年12月30日 データ件数：12,886 勝率：33.45% 純利益：82,132,380 ペイオフレシオ：2.450 期待値：6,373.8 リスク資金比率：1.0% 破産確率：0.00%
Strategia Pine Script®
di fightpm
NY First Candle Break and RetestStrategy Overview Session and Time Parameters: The strategy focuses on the New York trading session, starting at 9:30 AM and lasting for a predefined session length, typically 3 to 4 hours. This timing captures the most active market hours, providing ample trading opportunities. Strategy Parameters: Utilizes the Average True Range (ATR) to set dynamic stop-loss levels, ensuring risk is managed according to market volatility. Employs a reward-to-risk ratio to determine take profit levels, aiming for a balanced approach between potential gains and losses. Strategy Settings: Incorporates simple moving averages (EMA) and the Volume Weighted Average Price (VWAP) to identify trend direction and price levels. Volume confirmation is used to validate breakouts, ensuring trades are based on significant market activity. Trade Management: Features a trailing stop mechanism to lock in profits as the trade moves in favor, with multiple take profit levels to secure gains incrementally. The strategy is designed to handle both long and short positions, adapting to market conditions. Alert Settings: Provides alerts for key events such as session start, breakout, retest, and entry signals, helping traders stay informed and act promptly. Visual cues on the chart highlight entry and exit points, making it easier for beginners to follow the strategy. This strategy is particularly suited for the current volatile market environment, where simplicity and clear guidelines can help beginner traders navigate the complexities of trading. It emphasizes risk management and uses straightforward indicators to make informed trading decisions. I put together this Trading View scalping strategy for futures markets with some help from Claude AI. Shoutout to everyone who gave me advice along the way—I really appreciate it! I’m sure there’s room for improvement, so feel free to share your thoughts… just go easy on me. :)
Strategia Pine Script®
di PrincessQuinn
Dskyz Adaptive Futures Elite (DAFE)Dskyz Adaptive Futures Edge (DAFE) imgur.com A Dynamic Futures Trading Strategy DAFE adapts to market volatility and price action using technical indicators and advanced risk management. It’s built for high-stakes futures trading (e.g., MNQ, BTCUSDT.P), offering modular logic for scalpers and swing traders alike. Key Features Adaptive Moving Averages Dynamic Logic: Fast and slow SMAs adjust lengths via ATR, reacting to momentum shifts and smoothing in calm markets. Signals: Long entry on fast SMA crossing above slow SMA with price confirmation; short on cross below. RSI Filtering (Optional) Momentum Check: Confirms entries with RSI crossovers (e.g., above oversold for longs). Toggle on/off with custom levels. Fine-Tuning: Adjustable lookback and thresholds (e.g., 60/40) for precision. Candlestick Pattern Recognition Eng|Enhanced Detection: Identifies strong bullish/bearish engulfing patterns, validated by volume and range strength (vs. 10-period SMA). Conflict Avoidance: Skips trades if both patterns appear in the lookback window, reducing whipsaws. Multi-Timeframe Trend Filter 15-Minute Alignment: Syncs intrabar trades with 15-minute SMA trends; optional for flexibility. Dollar-Cost Averaging (DCA) New! Scaling: Adds up to a set number of entries (e.g., 4) on pullbacks/rallies, spaced by ATR multiples. Control: Caps exposure and resets on exit, enhancing trend-following potential. Trade Execution & Risk Management Entry Rules: Prioritizes moving averages or patterns (user choice), with volume, volatility, and time filters. Stops & Trails: Initial Stop: ATR-based (2–3.5x, volatility-adjusted). Trailing Stop: Locks profits with configurable ATR offset and multiplier. Discipline Cooldown: Pauses post-exit (e.g., 0–5 minutes). Min Hold: Ensures trades last a set number of bars (e.g., 2–10). Visualization & Tools Charts: Overlays MAs, stops, and signals; trend shaded in background. Dashboard: Shows position, P&L, win rate, and more in real-time. Debugging: Logs signal details for optimization. Input Parameters Parameter Purpose Suggested Use Use RSI Filter - Toggle RSI confirmation *Disable 4 price-only trading RSI Length - RSI period (e.g., 14) *7–14 for sensitivity RSI Overbought/Oversold - Adjust for market type *Set levels (e.g., 60/40) Use Candlestick Patterns - Enables engulfing signals *Disable for MA focus Pattern Lookback - Pattern window (e.g., 19) *10–20 bars for balance Use 15m Trend Filter - Align with 15-min trend *Enable for trend trades Fast/Slow MA Length - Base MA lengths (e.g., 9/19) *10–25 / 30–60 per timeframe Volatility Threshold - Filters volatile spikes *Max ATR/close (e.g., 1%) Min Volume - Entry volume threshold *Avoid illiquid periods (e.g., 10) ATR Length - ATR period (e.g., 14) *Standard volatility measure Trailing Stop ATR Offset - Trail distance (e.g., 0.5) *0.5–1.5 for tightness Trailing Stop ATR Multi - Trail multiplier (e.g., 1.0) *1–3 for trend room Cooldown Minutes - Post-exit pause (e.g., 0–5) *Prevents overtrading Min Bars to Hold - Min trade duration (e.g., 2) *5–10 for intraday Trading Hours - Active window (e.g., 9–16) *Focus on key sessions Use DCA - Toggle DCA *Enable for scaling Max DCA Entries - Cap entries (e.g., 4) *Limit risk exposure DCA ATR Multiplier Entry spacing (e.g., 1.0) *1–2 for wider gaps Compliance Realistic Testing: Fixed quantities, capital, and slippage for accurate backtests. Transparency: All logic is user-visible and adjustable. Risk Controls: Cooldowns, stops, and hold periods ensure stability. Flexibility: Adapts to various futures and timeframes. Summary DAFE excels in volatile futures markets with adaptive logic, DCA scaling, and robust risk tools. Currently in prop account testing, it’s a powerful framework for precision trading. Caution DAFE is experimental, not a profit guarantee. Futures trading risks significant losses due to leverage. Backtest, simulate, and monitor actively before live use. All trading decisions are your responsibility.
Strategia Pine Script®
di DskyzInvestments
12
TQ's Support & Resistance(My goal creating this indicator): Provide a way to categorize and label key structures on multiple different levels so I can create a plan based on those observable facts. The Underlying Concept / What is Momentum? Momentum indicates transaction pressure. If the algorithm detects price is going up, that would be considered positive momentum. If the algorithm detects price is going down negative momentum would be detected. The Momentum shown is derived from a price action pattern. Unlike my previous Support & Resistance indicator that used Super Trend, this indicator uses a unique pattern I created. On the first bar bearish momentum is detected a resistance Level is made at the highest point of the previous bullish condition. On the first bar bullish momentum is detected a support Level is made at the lowest point of the previous bearish condition. This happens on 5 different Momentum Levels, (short-term to long-term). I currently use this pattern to trade so the source code is protected. What is Severity? Severity is How we differentiate the importance of different Highs and Lows. If Momentum is detected on a higher level the Supply or Demand Level is updated. The Color and Size representing that Level will be shown. Demand and Supply Levels made by higher levels are more SEVERE than a demand level made by a lower level. Technical Inputs - to ensure the correct calculation of Support and Resistance levels change BAR_INDEX. BAR_INDEX creates a buffer at the start of the chart. For example: If you set BAR_INDEX to 300. The script will wait for 300 bars to elapse on the current chart before running. This allows the script more time to gather data. Which is needed in order for our dynamic lookback length to never return an error (Dynamic lookback length can't be negative or zero). The lower the timeframe the greater the number of bars need. For Example, if I open up a 1min chart I would enter 5000 as my BAR_INDEX since that will provide enough data to ensure the correct calculation of Support and Resistance levels. If I was on a daily chart, I would enter a lower number such as 800. Don't be afraid to play around with this. - Toggle options (Close) or (High & Low) creates Support and Resistance Levels using the Lowest close and Highest close or using the Lowest low and Highest high. Level Inputs - The indicator has 5 Different Levels indicating SEVEREITY of a Supply and Demand Levels. The higher the Level the more SEVERE the Level. Display Inputs - You have the option to customize the Length, Width, Line Style, and Colors of all 5 different - This indicator includes a Trend Chart. To Easily verify the current trend of any displayed by this indicator toggle on Chart On/Off. You also get the option to change the Chart Position and the size of the Trend Chart How Trend Is being Determined? (Close > Current Supply Level) if this statement is true technically price made a HH, so the trend is bullish. (Close < Current Demand Level) if this statement is true technically price made a LL, so the trend is bearish. - Fully customize how you display Market Structure on different levels. Line Length, Line Width, Line Style, and Line color can all be customized. How it can be used? (Examples of Different ways you can use this indicator): Easily categorize the severity of each and every Supply or Demand Level in the market (The higher Level the stronger the level) : Quickly Determine the trend of any Level. : Get a consistent view of a market and how different Levels are behaving but just use one chart. : Take the discretion from hand drawing support and resistance lines out of your trading. : Find and categorize strong levels for potential breakouts. : Trend Analysis, use Levels to create a narrative based on observable facts from these Levels. : Different Targets to take money off the table. : Use Severity to differentiate between different trend line setups. : Find Great places to move your stop loss too.
Indicatore Pine Script®
di Who7is7Like7God
3
Nifty 1m EMA Pullback Scalper Signals ### **Master the Market with the Sniper Scalping Strategy for Nifty (1-Minute Timeframe)** Unlock the power of precision trading with this expertly crafted **Sniper Scalping Strategy**, designed specifically for the Nifty index on a lightning-fast 1-minute timeframe. Perfect for traders who thrive on quick decisions and small, consistent profits, this strategy combines multiple indicators to deliver razor-sharp entries and exits—ideal for India’s dynamic market. #### **Why This Strategy Stands Out** - **Pinpoint Accuracy**: Harness the synergy of the **5 EMA and 10 EMA crossover** to lock onto the short-term trend, while the **Stochastic Oscillator (14,3,3)** times your entries and exits with surgical precision. - **Fast and Effective**: Tailored for the 1-minute chart, this strategy capitalizes on Nifty’s volatility, targeting **10-point profits** with a tight **5-point stop-loss**—keeping your risk low and rewards high. - **Trend + Momentum**: Blend trend-following (EMAs) with momentum signals (Stochastic) for a robust, multi-dimensional approach that cuts through market noise. #### **How It Works** - **Buy Signal**: Enter long when the 5 EMA crosses above the 10 EMA and the Stochastic rises above 20—catching the uptrend at its sweet spot. - **Sell Signal**: Go short when the 5 EMA dips below the 10 EMA and the Stochastic falls below 80—riding the downtrend with confidence. - **Exit Like a Pro**: Take profits at 10 points or when the Stochastic hits overbought/oversold extremes, ensuring you’re in and out before the market shifts. #### **Perfect for Nifty Scalpers** Built for the fast-paced world of Nifty trading, this strategy shines during high-volatility sessions like the market open or global overlaps. Whether you’re a beginner honing your skills or a seasoned trader seeking consistency, the Sniper Scalping Strategy offers a clear, actionable framework to scalp profits with discipline and precision. #### **Get Started** Test it in a demo account, refine it to your style, and watch your scalping game soar. Trade smart, stay focused, and let the Sniper Scalping Strategy turn Nifty’s 1-minute moves into your edge!
Indicatore Pine Script®
di rahul52das
Smart Grid Scalping (Pullback) Strategy[BullByte]The Smart Grid Scalping (Pullback) Strategy is a high-frequency trading strategy designed for short-term traders who seek to capitalize on market pullbacks. This strategy utilizes a dynamic ATR-based grid system to define optimal entry points, ensuring precise trade execution. It integrates volatility filtering and an RSI-based confirmation mechanism to enhance signal accuracy and reduce false entries. This strategy is specifically optimized for scalping by dynamically adjusting trade levels based on current market conditions. The grid-based system helps capture retracement opportunities while maintaining strict trade management through predefined profit targets and trailing stop-loss mechanisms. Key Features : 1. ATR-Based Grid System : - Uses a 10-period ATR to dynamically calculate grid levels for entry points. - Prevents chasing trades by ensuring price has reached key levels before executing entries. 2. No Trade Zone Protection : - Avoids low-volatility zones where price action is indecisive. - Ensures only high-momentum trades are executed to improve success rate. 3. RSI-Based Entry Confirmation : - Long trades are triggered when RSI is below 30 (oversold) and price is in the lower grid zone. - Short trades are triggered when RSI is above 70 (overbought) and price is in the upper grid zone. 4. Automated Trade Execution : - Long Entry: Triggered when price drops below the first grid level with sufficient volatility. - Short Entry: Triggered when price exceeds the highest grid level with sufficient volatility. 5. Take Profit & Trailing Stop : - Profit target set at a customizable percentage (default 0.2%). - Adaptive trailing stop mechanism using ATR to lock in profits while minimizing premature exits. 6. Visual Trade Annotations : - Clearly labeled "LONG" and "SHORT" markers appear at trade entries for better visualization. - Grid levels are plotted dynamically to aid decision-making. Strategy Logic : - The script first calculates the ATR-based grid levels and ensures price action has sufficient volatility before allowing trades. - An additional RSI filter is used to ensure trades are taken at ideal market conditions. - Once a trade is executed, the script implements a trailing stop and predefined take profit to maximize gains while reducing risks. --- Disclaimer : Risk Warning : This strategy is provided for educational and informational purposes only. Trading involves significant risk, and past performance is not indicative of future results. Users are advised to conduct their own due diligence and risk management before using this strategy in live trading. The developer and publisher of this script are not responsible for any financial losses incurred by the use of this strategy. Market conditions, slippage, and execution quality can affect real-world trading outcomes. Use this script at your own discretion and always trade responsibly.
Strategia Pine Script®
di BullByte
2
ATM Option Selling StrategyATM Option Selling Strategy – Explained This strategy is designed for intraday option selling based on the 9/15 EMA crossover, 50/80 MA trend filter, and RSI 50 level. It ensures that all trades are exited before market close (3:24 PM IST). . Indicators Used: 9 EMA & 15 EMA → For short-term trend identification. 50 MA & 80 MA → To determine the overall trend. RSI (14) → To confirm momentum (above or below 50 level). 2. Entry Conditions: 🔴 Sell ATM Call (CE) when: Price is below 50 & 80 MA (Bearish trend). 9 EMA crosses below 15 EMA (Short-term trend turns bearish). RSI is below 50 (Momentum confirms weakness). 🟢 Sell ATM Put (PE) when: Price is above 50 & 80 MA (Bullish trend). 9 EMA crosses above 15 EMA (Short-term trend turns bullish). RSI is above 50 (Momentum confirms strength). 3. Position Sizing & Risk Management: Sell 375 quantity per trade (Lot size). 50-Point Stop Loss → If option premium moves against us by 50 points, exit. 50-Point Take Profit → If option premium moves in our favor by 50 points, book profit. Exit all trades at 3:24 PM IST → No overnight positions. 4. Exit Conditions: ✅ Stop Loss or Take Profit Hits → Automatically exits based on a 50-point move. ✅ Time-Based Exit at 3:24 PM → Ensures no open positions at market close. Why This Works? ✔ Trend Confirmation → 50/80 MA ensures we only sell options in the direction of the market trend. ✔ Momentum Confirmation → RSI prevents entering weak trades. ✔ Controlled Risk → SL and TP protect against large losses. ✔ No Overnight Risk → All trades close before market close.
Strategia Pine Script®
di dipen007
Multi-MA Strategy Analyzer with BacktestMulti-MA Strategy Analyzer with Backtest This TradingView Pine Script indicator is designed to analyze multiple moving averages (SMA or EMA) dynamically and identify the most profitable one based on historical performance. Features Dynamic MA Range: Specify a minLength, maxLength, and step size. Automatically calculates up to 20 MAs. Custom MA Calculation: Uses custom SMA and EMA implementations to support dynamic length values. Buy/Sell Logic: Buy when price crosses above a MA. Sell when price crosses below. Supports both long and short trades. Performance Tracking: Tracks PnL, number of trades, win rate, average profit, and drawdown. Maintains individual stats for each MA. Best MA Detection: Automatically highlights the best-performing MA. Optional showBestOnly toggle to focus only on the best line and its stats. Visualization: Up to 20 plot() calls (static) for MAs. Green highlight for the best MA. Color-coded result table and chart. Table View When showBestOnly = false, the table displays all MAs with stats. When showBestOnly = true, the table displays only the best MA with a summary row. Includes: Best MA length Total PnL Number of trades Win rate Avg PnL per trade Max Drawdown Configuration minLength (default: 10) maxLength (default: 200) step (default: 10) useEMA: Toggle between EMA and SMA showBestOnly: Focus on best-performing MA only Notes MA plotting is static, limited to 20 total. Table supports highlighting and is optimized for performance. Script is structured to run efficiently using arrays and simple int where required. Potential Extensions Add visual buy/sell arrows Export stats to CSV Strategy tester conversion Custom date range filtering for backtesting Author: Muhammad Wasim Version: 1.0
Indicatore Pine Script®
di muhammadwasu
Supertrend Fixed TP Unified with Time Filter (MSK)Trend Strategy Based on the SuperTrend Indicator This strategy is based on the use of the adaptive SuperTrend indicator, which takes into account the current market volatility and acts as a dynamic trailing stop. The indicator is visualized on the chart with colors that change depending on the direction of the trade: green indicates an uptrend (long), while red indicates a downtrend (short). How It Works: A buy signal (long) is generated when a bar closes above the indicator line. A sell signal (short) is triggered when a bar closes below the indicator line. Strategy Settings: Trading Modes : Long only : Only long positions are allowed. Short only : Only short positions are allowed. Both : Both types of trades are permitted. Take-Profit : The strategy supports a simple percentage-based take-profit, allowing you to lock in profits during sharp price movements without waiting for a pullback. The take-profit level and its value are visualized on the chart. Visualization can be disabled in the settings. Colored Chart Areas : Long and short areas on the chart are highlighted with background colors for easier analysis. Price Level : You can set a price level in the settings to restrict trade execution: Long trades are executed only above the specified level. Short trades are executed only below the specified level. This mode can be enabled or disabled in the parameters. ________________________________________________________________ Описание стратегии (на русском языке) Трендовая стратегия на основе индикатора SuperTrend Стратегия основана на использовании адаптивного индикатора SuperTrend , который учитывает текущую волатильность рынка и играет роль динамического трейлинг-стопа. Индикатор визуализируется на графике цветом, который меняется в зависимости от направления сделки: зелёный цвет указывает на восходящий тренд (лонг), а красный — на нисходящий тренд (шорт). Принцип работы: Сигнал на покупку (лонг) генерируется при закрытии бара выше линии индикатора. Сигнал на продажу (шорт) возникает при закрытии бара ниже линии индикатора. Настройки стратегии: Режимы торговли : Long only : только лонговые позиции. Short only : только шортовые позиции. Both : разрешены оба типа сделок. Тейк-профит : Стратегия поддерживает простой процентный тейк-профит, что позволяет фиксировать прибыль при резком изменении цены без ожидания отката. Уровень и значение тейк-профита визуализируются на графике. Визуализацию можно отключить в настройках. Цветные области графика : Лонговые и шортовые области графика выделяются цветом фона для удобства анализа. Уровень цены : В настройках можно задать уровень цены, который будет ограничивать выполнение сделок: Лонговые сделки выполняются только выше указанного уровня. Шортовые сделки выполняются только ниже указанного уровня. Этот режим можно включать или отключать в параметрах.
Strategia Pine Script®
di shop94746
Multi-Oscillator Adaptive Kernel | AlphaAlgosMulti-Oscillator Adaptive Kernel | AlphaAlgos Overview The Multi-Oscillator Adaptive Kernel (MOAK) is an advanced technical analysis tool that combines multiple oscillators through sophisticated kernel-based smoothing algorithms. This indicator is designed to provide clearer trend signals while filtering out market noise, offering traders a comprehensive view of market momentum across multiple timeframes. Key Features • Fusion of multiple technical oscillators (RSI, Stochastic, MFI, CCI) • Advanced kernel smoothing technology with three distinct mathematical models • Customizable sensitivity and lookback periods • Clear visual signals for trend shifts and reversals • Overbought/oversold zones for precise entry and exit timing • Adaptive signal that responds to varying market conditions Technical Components The MOAK indicator utilizes a multi-layer approach to signal generation: 1. Oscillator Fusion The core of the indicator combines normalized readings from up to four popular oscillators: • RSI (Relative Strength Index) - Measures the speed and change of price movements • Stochastic - Compares the closing price to the price range over a specific period • MFI (Money Flow Index) - Volume-weighted RSI that includes trading volume • CCI (Commodity Channel Index) - Measures current price level relative to an average price 2. Kernel Smoothing The combined oscillator data is processed through one of three kernel functions: • Exponential Kernel - Provides stronger weighting to recent data with exponential decay • Linear Kernel - Applies a linear weighting from most recent to oldest data points • Gaussian Kernel - Uses a bell curve distribution that helps filter out extreme values 3. Dual Signal Lines • Fast Signal Line - Responds quickly to price changes • Slow Signal Line - Provides confirmation and shows the underlying trend direction Configuration Options Oscillator Selection: • Enable/disable each oscillator (RSI, Stochastic, MFI, CCI) • Customize individual lookback periods for each oscillator Kernel Settings: • Kernel Type - Choose between Exponential, Linear, or Gaussian mathematical models • Kernel Length - Adjust the smoothing period (higher values = smoother line) • Sensitivity - Fine-tune the indicator's responsiveness (higher values = more responsive) Display Options: • Color Bars - Toggle price bar coloring based on indicator direction How to Interpret the Indicator Signal Line Direction: • Upward movement (teal) indicates bullish momentum • Downward movement (magenta) indicates bearish momentum Trend Shifts: • Small circles mark the beginning of new uptrends • X-marks indicate the start of new downtrends Overbought/Oversold Conditions: • Values above +50 suggest overbought conditions (potential reversal or pullback) • Values below -50 suggest oversold conditions (potential reversal or bounce) Trading Strategies Trend Following: • Enter long positions when the signal line turns teal and shows an uptrend • Enter short positions when the signal line turns magenta and shows a downtrend • Use the slow signal line (area fill) as confirmation of the underlying trend Counter-Trend Trading: • Look for divergences between price and the indicator • Consider profit-taking when the indicator reaches overbought/oversold areas • Wait for trend shift signals before entering counter-trend positions Multiple Timeframe Analysis: • Use the indicator across different timeframes for confirmation • Higher timeframe signals carry more weight than lower timeframe signals Best Practices • Experiment with different kernel types for various market conditions • Gaussian kernels often work well in ranging markets • Exponential kernels can provide earlier signals in trending markets • Combine with volume analysis for higher probability trades • Use appropriate stop-loss levels as the indicator does not guarantee price movements This indicator is provided as-is with no guarantees of profit. Always use proper risk management when trading with any technical indicator. Nothing is financial advise.
Indicatore Pine Script®
di AlphaNatt
1