Bollinger-bands — Indicators and Strategies

Moving Volume-Weighted Avg Price, % Channel, BBs This script includes: - Moving Volume-Weighted Average Price line. - User-defined % band above and below, very useful for "breakout" signals, and mentally adjusting to the magnitude of price swings when viewing an automatic scale on the price axis. - Volume-Weighted Bollinger Bands, which are more sensitive to volume. More detail: - This is like TV's basic VWAP in concept, except the major flaw in that is that it has reset periods that you can't override, and the volume is cumulative until the next hard reset. The 'reset' is OK for securities trading, that resets every day anyway. But not for crypto - and not if/when securities trading goes 24/7. Also, the denominator accumulating over the entire period is also *not* OK, because then what is shown means something different as the day progresses - which kind of makes it useless. In other words, it starts out very sensitive to volume, and gets progressively more numb to it as they day progresses, and starts flattening out. - This fixes both problems, by using a user-definable moving window for the average. Essentially combining SMA with volume-weighting. - You may also find an invaluable trading aid, in the % bands above and below. - What can optionally be shown is standard deviation bands, aka Bollinger bands. The advantage over regular BB is that it's volume-weighted. Since it is already calculated on a moving average, the period for the standard deviation has been shortened by default, and the magnitude increased, to better approximate regular Bollinger Bands - but it's still more responsive to volume.

MTF Signal Xpert MTF Signal Xpert – Detailed Description Overview: MTF Signal Xpert is a proprietary, open‑source trading signal indicator that fuses multiple technical analysis methods into one cohesive strategy. Developed after rigorous backtesting and extensive research, this advanced tool is designed to deliver clear BUY and SELL signals by analyzing trend, momentum, and volatility across various timeframes. Its integrated approach not only enhances signal reliability but also incorporates dynamic risk management, helping traders protect their capital while navigating complex market conditions. Detailed Explanation of How It Works: Trend Detection via Moving Averages Dual Moving Averages: MTF Signal Xpert computes two moving averages—a fast MA and a slow MA—with the flexibility to choose from Simple (SMA), Exponential (EMA), or Hull (HMA) methods. This dual-MA system helps identify the prevailing market trend by contrasting short-term momentum with longer-term trends. Crossover Logic: A BUY signal is initiated when the fast MA crosses above the slow MA, coupled with the condition that the current price is above the lower Bollinger Band. This suggests that the market may be emerging from a lower price region. Conversely, a SELL signal is generated when the fast MA crosses below the slow MA and the price is below the upper Bollinger Band, indicating potential bearish pressure. Recent Crossover Confirmation: To ensure that signals reflect current market dynamics, the script tracks the number of bars since the moving average crossover event. Only crossovers that occur within a user-defined “candle confirmation” period are considered, which helps filter out outdated signals and improves overall signal accuracy. Volatility and Price Extremes with Bollinger Bands Calculation of Bands: Bollinger Bands are calculated using a 20‑period simple moving average as the central basis, with the upper and lower bands derived from a standard deviation multiplier. This creates dynamic boundaries that adjust according to recent market volatility. Signal Reinforcement: For BUY signals, the condition that the price is above the lower Bollinger Band suggests an undervalued market condition, while for SELL signals, the price falling below the upper Bollinger Band reinforces the bearish bias. This volatility context adds depth to the moving average crossover signals. Momentum Confirmation Using Multiple Oscillators RSI (Relative Strength Index): The RSI is computed over 14 periods to determine if the market is in an overbought or oversold state. Only readings within an optimal range (defined by user inputs) validate the signal, ensuring that entries are made during balanced conditions. MACD (Moving Average Convergence Divergence): The MACD line is compared with its signal line to assess momentum. A bullish scenario is confirmed when the MACD line is above the signal line, while a bearish scenario is indicated when it is below, thus adding another layer of confirmation. Awesome Oscillator (AO): The AO measures the difference between short-term and long-term simple moving averages of the median price. Positive AO values support BUY signals, while negative values back SELL signals, offering additional momentum insight. ADX (Average Directional Index): The ADX quantifies trend strength. MTF Signal Xpert only considers signals when the ADX value exceeds a specified threshold, ensuring that trades are taken in strongly trending markets. Optional Stochastic Oscillator: An optional stochastic oscillator filter can be enabled to further refine signals. It checks for overbought conditions (supporting SELL signals) or oversold conditions (supporting BUY signals), thus reducing ambiguity. Multi-Timeframe Verification Higher Timeframe Filter: To align short-term signals with broader market trends, the script calculates an EMA on a higher timeframe as specified by the user. This multi-timeframe approach helps ensure that signals on the primary chart are consistent with the overall trend, thereby reducing false signals. Dynamic Risk Management with ATR ATR-Based Calculations: The Average True Range (ATR) is used to measure current market volatility. This value is multiplied by a user-defined factor to dynamically determine stop loss (SL) and take profit (TP) levels, adapting to changing market conditions. Visual SL/TP Markers: The calculated SL and TP levels are plotted on the chart as distinct colored dots, enabling traders to quickly identify recommended exit points. Optional Trailing Stop: An optional trailing stop feature is available, which adjusts the stop loss as the trade moves favorably, helping to lock in profits while protecting against sudden reversals. Risk/Reward Ratio Calculation: MTF Signal Xpert computes a risk/reward ratio based on the dynamic SL and TP levels. This quantitative measure allows traders to assess whether the potential reward justifies the risk associated with a trade. Condition Weighting and Signal Scoring Binary Condition Checks: Each technical condition—ranging from moving average crossovers, Bollinger Band positioning, and RSI range to MACD, AO, ADX, and volume filters—is assigned a binary score (1 if met, 0 if not). Cumulative Scoring: These individual scores are summed to generate cumulative bullish and bearish scores, quantifying the overall strength of the signal and providing traders with an objective measure of its viability. Detailed Signal Explanation: A comprehensive explanation string is generated, outlining which conditions contributed to the current BUY or SELL signal. This explanation is displayed on an on‑chart dashboard, offering transparency and clarity into the signal generation process. On-Chart Visualizations and Debug Information Chart Elements: The indicator plots all key components—moving averages, Bollinger Bands, SL and TP markers—directly on the chart, providing a clear visual framework for understanding market conditions. Combined Dashboard: A dedicated dashboard displays key metrics such as RSI, ADX, and the bullish/bearish scores, alongside a detailed explanation of the current signal. This consolidated view allows traders to quickly grasp the underlying logic. Debug Table (Optional): For advanced users, an optional debug table is available. This table breaks down each individual condition, indicating which criteria were met or not met, thus aiding in further analysis and strategy refinement. Mashup Justification and Originality MTF Signal Xpert is more than just an aggregation of existing indicators—it is an original synthesis designed to address real-world trading complexities. Here’s how its components work together: Integrated Trend, Volatility, and Momentum Analysis: By combining moving averages, Bollinger Bands, and multiple oscillators (RSI, MACD, AO, ADX, and an optional stochastic), the indicator captures diverse market dynamics. Each component reinforces the others, reducing noise and filtering out false signals. Multi-Timeframe Analysis: The inclusion of a higher timeframe filter aligns short-term signals with longer-term trends, enhancing overall reliability and reducing the potential for contradictory signals. Adaptive Risk Management: Dynamic stop loss and take profit levels, determined using ATR, ensure that the risk management strategy adapts to current market conditions. The optional trailing stop further refines this approach, protecting profits as the market evolves. Quantitative Signal Scoring: The condition weighting system provides an objective measure of signal strength, giving traders clear insight into how each technical component contributes to the final decision. How to Use MTF Signal Xpert: Input Customization: Adjust the moving average type and period settings, ATR multipliers, and oscillator thresholds to align with your trading style and the specific market conditions. Enable or disable the optional stochastic oscillator and trailing stop based on your preference. Interpreting the Signals: When a BUY or SELL signal appears, refer to the on‑chart dashboard, which displays key metrics (e.g., RSI, ADX, bullish/bearish scores) along with a detailed breakdown of the conditions that triggered the signal. Review the SL and TP markers on the chart to understand the associated risk/reward setup. Risk Management: Use the dynamically calculated stop loss and take profit levels as guidelines for setting your exit points. Evaluate the provided risk/reward ratio to ensure that the potential reward justifies the risk before entering a trade. Debugging and Verification: Advanced users can enable the debug table to see a condition-by-condition breakdown of the signal generation process, helping refine the strategy and deepen understanding of market dynamics. Disclaimer: MTF Signal Xpert is intended for educational and analytical purposes only. Although it is based on robust technical analysis methods and has undergone extensive backtesting, past performance is not indicative of future results. Traders should employ proper risk management and adjust the settings to suit their financial circumstances and risk tolerance. MTF Signal Xpert represents a comprehensive, original approach to trading signal generation. By blending trend detection, volatility assessment, momentum analysis, multi-timeframe alignment, and adaptive risk management into one integrated system, it provides traders with actionable signals and the transparency needed to understand the logic behind them.

E9 Bollinger Range The E9 Bollinger Range is a technical trading tool that leverages Bollinger Bands to track volatility and price deviations, along with additional trend filtering via EMAs. The script visually enhances price action with a combination of trend-filtering EMAs, bar colouring for trend direction, signals to indicate potential buy and sell points based on price extension and engulfing patterns. Here’s a breakdown of its key components: Bollinger Bands: The strategy plots multiple Bollinger Band deviations to create different price levels. The furthest deviation bands act as warning signs for traders when price extends significantly, signaling potential overbought or oversold conditions. Bar Colouring: Visual bar colouring is applied to clearly indicate trend direction: green bars for an uptrend and red bars for a downtrend. EMA Filtering: Two EMAs (50 and 200) are used to help filter out false signals, giving traders a better sense of the underlying trend. This combination of signals, visual elements, and trend filtering provides traders with a systematic approach to identifying price deviations and taking advantage of market corrections. Brief History of Bollinger Bands Bollinger Bands were developed by John Bollinger in the early 1980s as a tool to measure price volatility in financial markets. The bands consist of a moving average (typically 20 periods) with upper and lower bands placed two standard deviations away. These bands expand and contract based on market volatility, offering traders a visual representation of price extremes and potential reversal zones. John Bollinger’s work revolutionized technical analysis by incorporating volatility into trend detection. His bands remain widely used across markets, including stocks, commodities, and cryptocurrencies. With the ability to highlight overbought and oversold conditions, Bollinger Bands have become a staple in many trading strategies.

3 Fib EMAs To Scalp Them All The "3 Fib EMAs To Scalp Them All" was made in order to clear up when we should look for shorts, longs, or walk away. Also it can alert you when a trend starts, or when there is a possible reversal. I use it for scalping/day trading in 5m-1h timeframes. 1. EMAs: By default, the indicator uses Fibonacci numbers (21, 55, 233), but you can change them. 2. Color Changes: The color of the Micro EMA line changes depending on its relation to the Mid and Macro EMAs. When Micro EMA < Mid < Macro EMA, it turns red, indicating a potential bearish trend - that's when you should look for shorts When Micro EMA > Mid > Macro EMA, it turns green, indicating a potential bullish trend - that's when you should look for longs A white Micro EMA is when you need to take some rest, enjoy your coffee, and avoid overtrading. 3. Signals: The indicator provides visual signals in the form of diamonds and crosses and corresponding alert signals. A red diamond above the bar signals a potential beginning of a downtrend A red cross above the bar signals the end of the downtrend and can be used as a signal for a possible reversal up/breakout. A green diamond below the bar signals a potential beginning of a downtrend, A green cross below the bar signals the end of the uptrend and can be used as a signal for a possible reversal down/breakout. 4. Alerts: For algo traders and people who prefer to stay away from the monitor... there are alerts for every signal. Friendly note: Don't blindly follow the signals for your long and short entries. The signals only pop up when the EMA cross value gets a confirmation. A smart move would be to wait for a retracement to the EMA line and use momentum indicators like market cipher B to pinpoint those ideal entry points.

Bollinger Bands - Breakout Strategy The Bollinger Bands - Breakout Strategy is a trend-following optimized for short-term trading in the crypto market. This strategy employs the Bollinger Bands, a widely recognized technical indicator, as its primary instrument for pinpointing potential trades. It is capable of executing both long and short positions, depending on whether the market is in a spot or futures, and is particularly effective in trending markets. The strategy boasts a high degree of configurability, allowing users to set the Bollinger Bands period and deviation, trend filter, volatility filter, trade direction filter, rate of change filter, and date filter. Furthermore, it offers options for Take Profit, Stop Loss, and Trailing Stop for both long and short positions, ensuring a comprehensive risk management approach. The inclusion of a maximum intraday loss feature adds another layer of protection, making this strategy a valuable tool for traders seeking a professional and adaptable trading system. Name : Bollinger Bands - Breakout Strategy Category : Trend Follower based on Bollinger Bands Operating mode : Long and Short on Futures or Long on Spot Trade duration : Intraday Timeframe : 2H, 3H, 4H, 5H Market : Crypto Suggested usage : Trending Markets Entry : When the price crosses above or below the Bollinger Bands Exit : Opposite Cross or Profit target, Trailing stop or Stop loss Configuration : - Bollinger Bands period and deviation - Trend Filter - Volatility Filter - Trade direction filter - Rate of Change filter - Date Filter (for backtesting purposes) - Take Profit, Stop Loss and Trailing Stop for long and short positions - Risk Management: Max Intraday Loss Backtesting : ⁃ Exchange: BINANCE ⁃ Pair: BTCUSDT.P ⁃ Timeframe: 4H ⁃ Fee: 0.025% ⁃ Slippage: 1 - Initial Capital: 10000 USDT - Position sizing: 10% of Equity - Start : 2019-09-19 (Out Of Sample from 2022-12-23) - Bar magnifier: on Credits : - LucF of Pine Coders for f_security function to avoid repainting using security. - QuantNomad for Monthly Table. Disclaimer : Risk Management is crucial, so adjust stop loss to your comfort level. A tight stop loss can help minimise potential losses. Use at your own risk. How you or we can improve? Source code is open so share your ideas! Leave a comment and smash the boost button! Thanks for your attention, happy to support the TradingView community.