Signaltrading — Chỉ báo và Chiến lược

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.

Triple Trend Indicator [BigBeluga]Triple Trend Indicator is a versatile trend-following tool designed to help traders identify trend strength and potential pullback levels using a three-band system. Each band represents a varying degree of price deviation from the mean, providing progressively stronger trend signals. 🔵 Key Features: Three Adaptive Bands: The indicator dynamically calculates three bands (1, 2, and 3) based on moving averages (SMA, EMA, WMA) and ATR multipliers. Bands are positioned below the price in an uptrend and above the price in a downtrend, offering clear trend direction visualization. Signal System: Signals are generated when price interacts with the bands: Signal 1: Triggered when the price touches Band 1, indicating a minor pullback within the trend. Signal 2: Triggered at Band 2, showing a stronger price deviation and trend confirmation. Signal 3: Triggered at Band 3, representing the most significant price deviation and strongest trend signal. The further the price deviates from the mean, the stronger the trend signal, with Signal 3 being the most robust. Color-Coded Bands: Bands dynamically change color based on the trend direction: Green bands signify an uptrend. Brown bands signify a downtrend. Dynamic Trend Line Changes: Dashed lines highlight trend changes, helping traders visualize key turning points in the market. 🔵 Usage: Use the bands to identify trend direction and strength. Monitor the signal system to assess the level of price deviation and potential pullback strength. Combine Signal 1, 2, and 3 to confirm trend momentum: Signal 1 suggests a weaker pullback and continuation. Signal 2 indicates a stronger trend confirmation. Signal 3 highlights the strongest momentum and potential exhaustion points. Utilize the color-coded bands for an intuitive understanding of current market conditions. The Triple Trend Indicator is an ideal tool for trend traders looking for structured signals and dynamic support and resistance levels to optimize entries and exits.

Innocent Heikin Ashi Ethereum Strategy Hello there, im back! If you are familiar with my previous scripts, this one will seem like the future's nostalgia! Functionality: As you can see, all candles are randomly colored. This has no deeper meaning, it should remind you to switch to Heikin Ashi. The Strategy works on standard candle stick charts, but should be used with Heikin Ashi to see the actual results. (Regular OHLC calculations are included.) Same as in my previous scripts we import our PVSRA Data from @TradersReality open source Indicator. With this data and the help of moving averages, we have got an edge in the market. Signal Logic: When a "violently green" candle appears (high buy volume + tick speed) above the 50 EMA indicates a change in trend and sudden higher prices. Depending on OHLC of the candle itself and volume, Take Profit and Stop Loss is calculated. (The price margin is the only adjustable setting). Additionally, to make this script as simple and easily useable as possible, all other adjustable variables have been already set to the best suitable value and the chart was kept plain, except for the actual entries and exits. Basic Settings and Adjustables: Main Input 1: TP and SL combined price range. (Double, Triple R:R equally.) Trade Inputs: All standard trade size and contract settings for testing available. Special Settings: Checkbox 1: Calculate Signal in Heikin Ashi chart, including regular candle OHLC („Open, High, Low, Close“) Checkbox 2/3: Calculate by order fill or every tick. Checkbox 4: Possible to fill orders on bar close. Timeframe and practical usage: Made for the 5 Minute to 1 hour timeframe. Literally ONLY works on Ethereum and more or less on Bitcoin. EVERY other asset has absolute 0% profitability. Have fun and share with your friends! Thanks for using! Example Chart:

IDEAL BB with MA (With Alerts)It gives well combination of Moving average and Bollinger bands with signals

GnG - Cuan Sniper with 7MA and Buy Sell Signal This Indicator possible users to get a signal when buying and selling. Using Cross EMA : when short EMA cross-up Long EMA is Signal to Buy when short EMA cross-down Long EMA is Signal to Sell Using Stochastic 14-3-3 to get signal overbought and oversold. when oversold, and StochK is crossing-up stochD, will show signal to buy. when overbought, and StockK is crossing-down stockD, will show signal to sell. Using Parabolic SAR, Pivot H/L, Cloud and Linear Regression to find Resistance and Support. Disclaimer On. Take your own risk.