Volumeanalysis — Indicatori e strategie

Hazel nut BB Strategy, volume base- lite version Hazel nut BB Strategy, volume base — lite version Having knowledge and information in financial markets is only useful when a trader operates with a well-defined trading strategy. Trading strategies assist in capital management, profit-taking, and reducing potential losses. This strategy is built upon the core principle of supply and demand dynamics. Alongside this foundation, one of the widely used technical tools — the Bollinger Bands — is employed to structure a framework for profit management and risk control. In this strategy, the interaction of these tools is explained in detail. A key point to note is that for calculating buy and sell volumes, a lower timeframe function is used. When applied with a tick-level resolution, this provides the most precise measurement of buyer/seller flows. However, this comes with a limitation of reduced historical depth. Users should be aware of this trade-off: if precise tick-level data is required, shorter timeframes should be considered to extend historical coverage . The strategy offers multiple configuration options. Nevertheless, it should be treated strictly as a supportive tool rather than a standalone trading system. Decisions must integrate personal analysis and other instruments. For example, in highly volatile assets with narrow ranges, it is recommended to adjust profit-taking and stop-loss percentages to smaller values. ◉ Volume Settings • Buyer and seller volume (up/down volume) are requested from a lower timeframe, with an option to override the automatic resolution. • A global lookback period is applied to calculate moving averages and cumulative sums of buy/sell/delta volumes. • Ratios of buyers/sellers to total volume are derived both on the current bar and across the lookback window. ◉ Bollinger Band • Bands are computed using configurable moving averages (SMA, EMA, RMA, WMA, VWMA). • Inputs allow control of length, standard deviation multiplier, and offset. • The basis, upper, and lower bands are plotted, with a shaded background between them. ◉ Progress & Proximity • Relative position of the price to the Bollinger basis is expressed as percentages (qPlus/qMinus). • “Near band” conditions are triggered when price progress toward the upper or lower band exceeds a user-defined threshold (%). • A signed score (sScore) represents how far the close has moved above or below the basis relative to band width. ◉ Info Table • Optional compact table summarizing: • - Upper/lower band margins • - Buyer/seller volumes with moving averages • - Delta and cumulative delta • - Buyer/seller ratios per bar and across the window • - Money flow values (buy/sell/delta × price) for bar-level and summed periods • The table is neutral-colored and resizable for different chart layouts. ◉ Zone Event Gate • Tracks entry into and exit from “near band” zones. • Arming logic: a side is armed when price enters a band proximity zone. • Trigger logic: on exit, a trade event is generated if cumulative buyer or seller volume dominates over a configurable window. ◉ Trading Logic • Orders are placed only on zone-exit events, conditional on volume dominance. • Position sizing is defined as a fixed percentage of strategy equity. • Long entries occur when leaving the lower zone with buyer dominance; short entries occur when leaving the upper zone with seller dominance. ◉ Exit Rules • Open positions are managed by a strict priority sequence: • 1. Stop-loss (% of entry price) • 2. Take-profit (% of entry price) • 3. Opposite-side event (zone exit with dominance in the other direction) • Stop-loss and take-profit levels are configurable ◉ Notes • This lite version is intended to demonstrate the interaction of Bollinger Bands and volume-based dominance logic. • It provides a framework to observe how price reacts at band boundaries under varying buy/sell pressure, and how zone exits can be systematically converted into entry/exit signals. When configuring this strategy, it is essential to carefully review the settings within the Strategy Tester. Ensure that the chosen parameters and historical data options are correctly aligned with the intended use. Accurate back testing depends on applying proper configurations for historical reference. The figure below illustrates sample result and configuration type.

VWAP Trend Strategy (Intraday) [KedarArc Quant]Description: An intraday strategy that anchors to VWAP and only trades when a local EMA trend gate and a volume participation gate are both open. It offers two entry templates—Cross and Cross-and-Retest—with an optional Momentum Exception for impulsive moves. Exits combine a TrendBreak (structure flips) with an ATR emergency stop (risk cap). Updates will be published under this script. Why this merits a new script This is not a simple “VWAP + EMA + ATR” overlay. The components are sequenced as gates and branches that *change the trade set* in ways a visual mashup cannot: 1. Trend Gate first (EMA fast vs. slow on the entry timeframe) Counter-trend VWAP crosses are suppressed. Many VWAP scripts fire on every cross; here, no entry logic even evaluates unless the trend gate is open. 2. Participation Gate second (Volume SMA × multiplier) This gate filters thin liquidity moves around VWAP. Without it, the same visuals would produce materially more false triggers. 3. Branching entries with structure awareness * Cross: Immediate VWAP cross in the trend direction. * Cross-and-Retest: Requires a revisit to VWAP vicinity within a lookback window (recent low near VWAP for longs; recent high for shorts). This explicitly removes first-touch fakeouts that a plain cross takes. * Momentum Exception (optional): A quantified body% + volume condition can bypass the retest when flow is impulsive—intentional risk-timing, not “just another indicator.” 4. Dual exits that reference both anchor and structure * TrendBreak: Close only when price loses VWAP and EMA alignment flips. * ATR stop: Placed at entry to cap tail risk. These exits complement the entry structure rather than being generic stop/target add-ons. What it does * Trades the session’s fair value anchor (VWAP), but only with local-trend agreement (EMA fast vs. slow) and sufficient participation (volume filter). * Lets you pick Cross or Cross-and-Retest entries; optionally allow a fast Momentum Exception when candles expand with volume. * Manages positions with a structure exit (TrendBreak) and an emergency ATR stop from entry. How it works (concepts & calculations) * VWAP (session anchor): Standard VWAP of the active session; entries reference the cross and the retest proximity to VWAP. * Trend gate: Long context only if `EMA(fast) > EMA(slow)`; short only if `EMA(fast) < EMA(slow)`. A *gate*, not a trigger—entries aren’t considered unless this is true. * Participation (volume) gate: Require `volume > SMA(volume, volLen) × volMult`. Screens out low-participation wiggles around VWAP. Entries: * Cross: Price crosses VWAP in the trend direction while volume gate is open. * Cross-and-Retest: After crossing, price revisits VWAP vicinity within `lookback` (recent *low near VWAP* for longs; recent *high near VWAP* for shorts). * Momentum Exception (optional): If body% (|close−open| / range) and volume exceed thresholds, enter without waiting for the retest. Exits: * TrendBreak (structure): * Longs close when `price < VWAP` and `EMA(fast) < EMA(slow)` (mirror for shorts). * ATR stop (risk): * From entry: `stop = entry ± ATR(atrLen) × atrMult`. How to use it ? 1. Select market & timeframe: Intraday on liquid symbols (equities, futures, crypto). 2. Pick entry mode: * Start with Cross-and-Retest for fewer, more selective signals. * Enable Momentum Exception if strong moves leave without retesting. 3. Tune guards: * Raise `volMult` to ignore thin periods; lower it for more activity. * Adjust `lookback` if retests come late/early on your symbol. 4. Risk: * `atrLen` and `atrMult` set the emergency stop distance. 5. Read results per session: Optional panel (if enabled) summarizes Net-R, Win%, and PF for today’s session to evaluate behavior regime by regime. ⚠️ Disclaimer This script is provided for educational purposes only. Past performance does not guarantee future results. Trading involves risk, and users should exercise caution and use proper risk management when applying this strategy.

EMA inFusion Pro - Multiple Sources EMA Fusion Pro: Dynamic Trend & Momentum Strategy with Three Exit Modes EMA Fusion Pro is a highly customizable, multi-exit trend-following strategy designed for traders who value both precision and flexibility. By leveraging exponential moving averages (EMA), average directional index (ADX), and volume analysis, this strategy aims to capture trending market moves while offering three distinct exit modes for optimal risk management across varying market conditions. Strategy Overview This strategy systematically identifies potential entry points using a moving average crossover with highly configurable data sources (including price, volume, rate of change, or their Heikin Ashi versions) and filters signal quality with ADX trend strength and volume spikes. Each trade is managed with one of three advanced exit methodologies—reverse signal, ATR-based stop/take profit, or fixed percentage—giving you the control to adapt your risk profile to different market regimes. Key Features Customizable EMA Source: Calculate the core trend-filtering EMA from price (default), volume, rate of change, or their Heikin Ashi counterparts for unique market perspectives. Trend Filter with ADX: Confirm entries only when the trend is strong, as measured by the user-adjustable ADX threshold. Volume Spike Confirmation: Optional filter to only take trades with above-average volume activity, reducing false signals. Three Exit Modes: Reverse Signal: Exit trades when a new, opposite entry signal occurs. ATR-Based Stop/Take Profit: Dynamic risk management using multiples of the average true range (ATR) for both take profit and stop loss. Percent-Based Stop/Take Profit: Fixed-percentage risk management with user-defined thresholds. Visual Annotations: Signal markers, EMA line color-coded by source, trend background coloring, and optional ATR/percent-based TP/SL levels. Info Panel: Real-time display of all core indicators, current trading mode, exit parameters, and position status for quick oversight. How It Works Entry Logic: A crossover signal (above/below the EMA) triggers a new entry, but only if both ADX trend strength and (optionally) volume spike conditions are met. Exit Logic: Three selectable modes allow you to exit trades on reverse signals, at a dynamic ATR-based profit or loss, or at a fixed percentage gain/loss. Flexible Data Analysis: The EMA source can be chosen from six options—standard price, volume, rate of change, or their Heikin Ashi variants—allowing experimentation with different market dimensions. Risk Management: All exits are precisely controlled, either by the next opposing signal, by volatility-adjusted levels, or by fixed risk/reward ratios. Backtest & Optimization: The strategy is fully backtestable within TradingView’s Strategy Tester, with adjustable parameters for optimization. Customization & Usage Indicator Source: Select your preferred data type for EMA calculation, opening the door to creative strategy variations (e.g., volume momentum, pure price trend, rate of change divergence). Filter Toggles: Enable/disable ADX and volume filters as desired—useful for different market environments. Exit Mode Selection: Switch between reverse, ATR, or percent-based exits with a single parameter—ideal for adapting to ranging vs. trending markets. Visual Clarity: The EMA line color reflects its underlying source, and the info panel summarizes all critical values for easy monitoring. Who Should Use This Strategy? Trend Followers seeking to ride strong moves with multiple exit options. Experienced Traders who want to experiment with different data types (volume, momentum, Heikin Ashi) for trend analysis. Algorithmic Traders looking for a robust, flexible base to build upon with their own ideas. Getting Started Apply the script to your chart and review default settings. Customize parameters—EMA length, ADX threshold, volume settings, exit type—as desired. Backtest on multiple instruments and timeframes to evaluate performance. Optimize filters, exit rules, and risk parameters for your preferred trading style. Monitor with the real-time info panel and trade alerts. Disclaimer This script is for educational and entertainment purposes only. It is not financial advice. Past performance is not indicative of future results. Always conduct thorough testing and consider your risk tolerance before trading real capital. — Happy Trading — Feel free to adapt, share, and contribute to this open-source strategy!

Timeshifter Triple Timeframe Strategy w/ Sessions Overview The "Enhanced Timeshifter Triple Timeframe Strategy with Session Filtering" is a sophisticated trading strategy designed for the TradingView platform. It integrates multiple technical indicators across three different timeframes and allows traders to customize their trading Sessions. This strategy is ideal for traders who wish to leverage multi-timeframe analysis and session-based trading to enhance their trading decisions. Features Multi-Timeframe Analysis and direction: Higher Timeframe: Set to a daily timeframe by default, providing a broader view of market trends. Trading Timeframe: Automatically set to the current chart timeframe, ensuring alignment with the trader's primary analysis period. Lower Timeframe: Set to a 15-minute timeframe by default, offering a granular view for precise entry and exit points. Indicator Selection: RMI (Relative Momentum Index): Combines RSI and MFI to gauge market momentum. TWAP (Time Weighted Average Price): Provides an average price over a specified period, useful for identifying trends. TEMA (Triple Exponential Moving Average): Reduces lag and smooths price data for trend identification. DEMA (Double Exponential Moving Average): Similar to TEMA, it reduces lag and provides a smoother trend line. MA (Moving Average): A simple moving average for basic trend analysis. MFI (Money Flow Index): Measures the flow of money into and out of a security, useful for identifying overbought or oversold conditions. VWMA (Volume Weighted Moving Average): Incorporates volume data into the moving average calculation. PSAR (Parabolic SAR): Identifies potential reversals in price movement. Session Filtering: London Session: Trade during the London market hours (0800-1700 GMT+1). New York Session: Trade during the New York market hours (0800-1700 GMT-5). Tokyo Session: Trade during the Tokyo market hours (0900-1800 GMT+9). Users can select one or multiple sessions to align trading with specific market hours. Trade Direction: Long: Only long trades are permitted. Short: Only short trades are permitted. Both: Both long and short trades are permitted, providing flexibility based on market conditions. ADX Confirmation: ADX (Average Directional Index): An optional filter to confirm the strength of a trend before entering a trade. How to Use the Script Setup: Add the script to your TradingView chart. Customize the input parameters according to your trading preferences and strategy requirements. Indicator Selection: Choose the primary indicator you wish to use for generating trading signals from the dropdown menu. Enable or disable the ADX confirmation based on your preference for trend strength analysis. Session Filtering: Select the trading sessions you wish to trade in. You can choose one or multiple Sessions based on your trading strategy and market focus. Trade Direction: Set your preferred trade direction (Long, Short, or Both) to align with your market outlook and risk tolerance. You can use this feature to gauge the market and understand the possible directions. Tips for Profitable and Safe Trading: Recommended Timeframes Combination: LT: 1m , CT: 5m, HT: 1H LT: 1-5m , CT: 15m, HT: 4H LT: 5-15m , CT: 4H, HT: 1W Backtesting: Always backtest the strategy on historical data to understand its performance under various market conditions. Adjust the parameters based on backtesting results to optimize the strategy for your specific trading style. Risk Management: Use appropriate risk management techniques, such as setting stop-loss and take-profit levels, to protect your capital. Avoid over-leveraging and ensure that you are trading within your risk tolerance. Market Analysis: Combine the script with other forms of market analysis, such as fundamental analysis or market sentiment, to make well-rounded trading decisions. Stay informed about major economic events and news that could impact market volatility and trading sessions. Continuous Monitoring: Regularly monitor the strategy's performance and make adjustments as necessary. Keep an eye on the results and settings for real-time statistics and ensure that the strategy aligns with current market conditions. Education and Practice: Continuously educate yourself on trading strategies and market dynamics. Practice using the strategy in a demo account before applying it to live trading to gain confidence and understanding.

Multi-Indicator Swing [TIAMATCRYPTO]v6 # Strategy Description: ## Multi-Indicator Swing This strategy is designed for swing trading across various markets by combining multiple technical indicators to identify high-probability trading opportunities. The system focuses on trend strength confirmation and volume analysis to generate precise entry and exit signals. ### Core Components: - **Supertrend Indicator**: Acts as the primary trend direction filter with optimized settings (Factor: 3.0, ATR Period: 10) to balance responsiveness and reliability. - **ADX (Average Directional Index)**: Confirms the strength of the prevailing trend, filtering out sideways or choppy market conditions where the strategy avoids taking positions. - **Liquidity Delta**: A volume-based indicator that analyzes buying and selling pressure imbalances to validate trend direction and potential reversals. - **PSAR (Optional)**: Can be enabled to add additional confirmation for trend changes, turned off by default to reduce signal filtering. ### Key Features: - **Flexible Direction Trading**: Choose between long-only, short-only, or bidirectional trading to adapt to market conditions or account restrictions. - **Conservative Risk Management**: Implements fixed percentage-based stop losses (default 2%) and take profits (default 4%) for a positive risk-reward ratio. - **Realistic Backtesting Parameters**: Includes commission (0.1%) and slippage (2 points) to reflect real-world trading conditions. - **Visual Signals**: Clear buy/sell arrows with customizable sizes for easy identification on the chart. - **Information Panel**: Dynamic display showing active indicators and current risk settings. ### Best Used On: Daily timeframes for cryptocurrencies, forex, or stock indices. The strategy performs optimally on assets with clear trending behavior and sufficient volatility. ### Default Settings: Optimized for conservative position sizing (5% of equity per trade) with an initial capital of $10,000. The backtesting period (2021-2023) provides a statistically significant sample of varied market conditions.

MACD Volume Strategy (BBO + MACD State, Reversal Type)Overview MACD Volume Strategy (BBO + MACD State, Reversal Type) is a momentum-based reversal system that combines MACD crossover logic with volume filtering to enhance signal accuracy and minimize noise. It aims to identify structural trend shifts and manage risk using predefined parameters. ※This strategy is for educational and research purposes only. All results are based on historical simulations and do not guarantee future performance. Strategy Objectives Identify early trend transitions with high probability Filter entries using volume dynamics to validate momentum Maintain continuous exposure using a reversal-style model Apply a consistent 1:1.5 risk-to-reward ratio per trade Key Features Integrated MACD and volume oscillator filtering Zero repainting (all signals confirmed on closed candles) Automatic position flipping for seamless direction shifts Stop-loss and take-profit based on recent structural highs/lows Trading Rules Long Entry Conditions MACD crosses above the zero line (BBO Buy arrow) Volume oscillator is positive (short EMA > long EMA) MACD is above the signal line Close any existing short and enter a new long Short Entry Conditions MACD crosses below the zero line (BBO Sell arrow) Volume oscillator is positive MACD is below the signal line Close any existing long and enter a new short Exit Rules Take Profit (TP) = Entry ± (risk distance × 1.5) Stop Loss (SL) = Recent swing low (for long) or high (for short) Early Exit = Triggered when a reversal signal appears (flip logic) Risk Management Parameters Pair: ETH/USD Timeframe: 10-minute Starting Capital: $3,000 Commission: 0.02% Slippage: 2 pip Risk per Trade: 5% of account equity (adjusted for sustainable practice) Total Trades: 312 (backtest on selected dataset) ※Risk parameters are fully configurable and should be adjusted to suit each trader's personal setup and broker conditions. Parameters & Configurations Volume Short Length: 6 Volume Long Length: 12 MACD Fast Length: 11 MACD Slow Length: 21 Signal Smoothing: 10 Oscillator MA Type: SMA Signal Line MA Type: SMA Visual Support Green arrow = Long entry Red arrow = Short entry MACD lines, signal line, and histogram SL/TP markers plotted directly on the chart Strategic Advantages & Uniqueness Volume filtering eliminates low-participation, weak signals Structurally aligned SL/TP based on recent market pivots No repainting — decisions are made only on closed candles Always in the market due to the reversal-style framework Inspirations & Attribution This strategy is inspired by the excellent work of: Bitcoinblockchainonline – “BBO_Roxana_Signals MACD + vol” Leveraging MACD zero-line cross and volume oscillator for intuitive signal generation. HasanRifat – “MACD Fake Filter ” Introduced a signal filter using MACD wave height averaging to reduce false positives. This strategy builds upon those ideas to create a more automated, risk-aware, and technically adaptive system. Summary MACD Volume Strategy is a clean, logic-first automated trading system built for precision-seeking traders. It avoids discretionary bias and provides consistent signal logic under backtested historical conditions. 100% mechanical — no discretionary input required Designed for high-confidence entries Can be extended with filters, alerts, or trailing stops ※Strategy performance depends on market context. Past performance is not indicative of future results. Use with proper risk management and careful configuration.

Volume Block Order Analyzer Core Concept The Volume Block Order Analyzer is a sophisticated Pine Script strategy designed to detect and analyze institutional money flow through large block trades. It identifies unusually high volume candles and evaluates their directional bias to provide clear visual signals of potential market movements. How It Works: The Mathematical Model 1. Volume Anomaly Detection The strategy first identifies "block trades" using a statistical approach: ``` avgVolume = ta.sma(volume, lookbackPeriod) isHighVolume = volume > avgVolume * volumeThreshold ``` This means a candle must have volume exceeding the recent average by a user-defined multiplier (default 2.0x) to be considered a significant block trade. 2. Directional Impact Calculation For each block trade identified, its price action determines direction: - Bullish candle (close > open): Positive impact - Bearish candle (close < open): Negative impact The magnitude of impact is proportional to the volume size: ``` volumeWeight = volume / avgVolume // How many times larger than average blockImpact = (isBullish ? 1.0 : -1.0) * (volumeWeight / 10) ``` This creates a normalized impact score typically ranging from -1.0 to 1.0, scaled by dividing by 10 to prevent excessive values. 3. Cumulative Impact with Time Decay The key innovation is the cumulative impact calculation with decay: ``` cumulativeImpact := cumulativeImpact * impactDecay + blockImpact ``` This mathematical model has important properties: - Recent block trades have stronger influence than older ones - Impact gradually "fades" at rate determined by decay factor (default 0.95) - Sustained directional pressure accumulates over time - Opposing pressure gradually counteracts previous momentum Trading Logic Signal Generation The strategy generates trading signals based on momentum shifts in institutional order flow: 1. Long Entry Signal: When cumulative impact crosses from negative to positive ``` if ta.crossover(cumulativeImpact, 0) strategy.entry("Long", strategy.long) ``` *Logic: Institutional buying pressure has overcome selling pressure, indicating potential upward movement* 2. Short Entry Signal: When cumulative impact crosses from positive to negative ``` if ta.crossunder(cumulativeImpact, 0) strategy.entry("Short", strategy.short) ``` *Logic: Institutional selling pressure has overcome buying pressure, indicating potential downward movement* 3. Exit Logic: Positions are closed when the cumulative impact moves against the position ``` if cumulativeImpact < 0 strategy.close("Long") ``` *Logic: The original signal is no longer valid as institutional flow has reversed* Visual Interpretation System The strategy employs multiple visualization techniques: 1. Color Gradient Bar System: - Deep green: Strong buying pressure (impact > 0.5) - Light green: Moderate buying pressure (0.1 < impact ≤ 0.5) - Yellow-green: Mild buying pressure (0 < impact ≤ 0.1) - Yellow: Neutral (impact = 0) - Yellow-orange: Mild selling pressure (-0.1 < impact ≤ 0) - Orange: Moderate selling pressure (-0.5 < impact ≤ -0.1) - Red: Strong selling pressure (impact ≤ -0.5) 2. Dynamic Impact Line: - Plots the cumulative impact as a line - Line color shifts with impact value - Line movement shows momentum and trend strength 3. Block Trade Labels: - Marks significant block trades directly on the chart - Shows direction and volume amount - Helps identify key moments of institutional activity 4. Information Dashboard: - Current impact value and signal direction - Average volume benchmark - Count of significant block trades - Min/Max impact range Benefits and Use Cases This strategy provides several advantages: 1. Institutional Flow Detection: Identifies where large players are positioning themselves 2. Early Trend Identification: Often detects institutional accumulation/distribution before major price movements 3. Market Context Enhancement: Provides deeper insight than simple price action alone 4. Objective Decision Framework: Quantifies what might otherwise be subjective observations 5. Adaptive to Market Conditions: Works across different timeframes and instruments by using relative volume rather than absolute thresholds Customization Options The strategy allows users to fine-tune its behavior: - Volume Threshold: How unusual a volume spike must be to qualify - Lookback Period: How far back to measure average volume - Impact Decay Factor: How quickly older trades lose influence - Visual Settings: Labels and line width customization This sophisticated yet intuitive strategy provides traders with a window into institutional activity, helping identify potential trend changes before they become obvious in price action alone.

Powertrend - Volume Range Filter Strategy [wbburgin]The Powertrend is a range filter that is based off of volume, instead of price. This helps the range filter capture trends more accurately than a price-based range filter, because the range filter will update itself from changes in volume instead of changes in price. In certain scenarios this means that the Powertrend will be more profitable than a normal range filter. Essentials of the Strategy This is a breakout strategy which works best on trending assets with high volume and liquidity. It should be used on middle to higher timeframes and can be used on all assets that have volume provided by the data source (stocks, crypto, forex). It is long-only as of now. It can work on lower timeframes if you optimize the strategy filters to make less trades or if your exchange/broker is low/no fees, provided that your exchange/broker has high liquidity and volume. The strategy enters a long position if the range filter is trending upwards and the price crosses over the upper range band, which signifies a price-volume breakout. The strategy closes the long position if the range filter is trending downwards and the price crosses under the lower range band, which signifies a breakdown. Both these conditions can be altered by the three filter options in the settings. The default trend filter is not alterable because it helps prevent false entries and exits that are against the trend. Settings The Length setting is the lookback period for the range smoothing. The ADX Filter setting enables you to turn on an ADX filter, which will halt entries and exits unless the ADX of your customizable length is above a ADX VWMA of that length. The Range Supertrend setting creates a supertrend from the top and bottom ranges, which can be used to filter entries and exits. The length is customizable. The filter can show you whether the range is making higher highs and lower lows. Below is an example of the Range Supertrend being used as a filter and plotted on-chart: The VWMA setting halts entries if they are below a customizable length VWMA. Both the Range Supertrend and the VWMA can also be plotted separately without actually filtering the strategy, so that you can use them independently if you wish. You can turn off the bar color, the highlighting, and the labels if you wish in the settings. A note about the bar color: if the color changes but the strategy does not signal an exit or entry this means that the crossover was against the trend. In these circumstances it may be indicative of a pullback to enter or exit or to add onto your position. About the Strategy Results Below A range filter is normally composed of two components - the range filter itself and a smoothing function. In the development of this script I tested both normal and volume-based varieties of the range filter and the smoothing function: Tests Performed Volume-based Range x VWMA smoothing Price-based Range x VWMA smoothing Price-based Range x EMA smoothing Volume-based Range x EMA smoothing (final result) The highest-performing was a volume-based range filter and a normal EMA-based smoothing function, but that does not mean that this strategy will be profitable - exits are based off of signal reversion so I strongly encourage you to develop your own take profits/stop losses for the strategy if you think it may be a good fit for you. The results below are with a commission value of 0.05% (because I built the strategy first for equities), slippage of 3, so if your exchange/broker has a higher fee schedule, I recommend adding filters and/or moving to higher timeframes for the strategy. Additionally, I used 10% of equity in each trade, while using the Range Supertrend filter (the previous upload was unrealistic because it used 100% of equity - missed a 0, apologies, and added in slippage).

VWAP Trendfollow Strategy [wbburgin]This is an experimental strategy that enters long when the instrument crosses over the upper standard deviation band of a VWAP and enters short when the instrument crosses below the bottom standard deviation band of the VWAP. I have added a trend filter as well, which stops entries that are opposite to the current trend of the VWAP. The trend filter will reduce total false breakouts, thus improving the % profitable while maintaining the overall returns of the strategy. Because this is a trend-following breakout strategy, the % profitable will typically be low but the average % return will be higher. As a rule, be sure to look at the average winning trade % compared to the average losing trade %, and compare that to the % profitable to judge the effectiveness of a strategy. Factor in fees and slippage as well. This strategy appears to work better with the lower timeframes, and I was impressed with its results. It also appears to work on a wide range of asset classes. There isn't a stop loss or take profit built-in (other than the reversal signals, which close the current trade), so I would encourage you to expand on the strategy based on your own trading parameters. You can toggle off the bar colors and the trend filter if you so desire. Future updates to this script (or ideas of improving on it) might include a take profit level set at one standard deviation past the current level and a stop loss level set at one standard deviation closer to the vwap from the current level - or applying a multiple to the two based off of your reward/risk ratio. About the strategy results below: this is with commissions of 0.5 % per trade.

SuperTrend Trapping Candle Strategy Hello traders! How this indicator works? The main functionality of this indicator is to find entry based upon SuperTrend indicator. This indicator helps us to find trapping candle to enter into the market. What is a trapping candle? A trapping candle is a candle that shows strength in opposite direction to SuperTrend. This helps us to enter in a trade before the move start in the current trend's direction. There are two types of trapping candles signals I have added currently: 1. Volume is high than previous candle in the opposite direction. 2. 3 candles of opposite direction with decreasing volume . How to enter in a trade in uptrend market? SuperTrend shows a green signal A green triangle formed below red candle Enter into the trade when price is above red candle high SL could be place below red candle or swing low if it is near How to enter in a trade in downtrend market? SuperTrend shows a red signal A red triangle formed above green candle Enter into the trade when price is below green candle low SL could be place above green candle high or swing high if it is near How to avoid to enter in a trade in sideways market? You can follow price action strategies Or you can follow some indicator to find sideways market Indicator settings and how to change? ATR Length - For SuperTrend, this is default value. Factor - For SuperTrend, changed to 2 to provide fast signals. Candle Height - For trapping candle price, default set to 0.003% of the current price.