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Relative Momentum Index- Fatih Küst alt 80-20 ayarlanmış momentum Usage: Add your favorite oscillator, RSI , Klinger , TSI, CMF , or anything else to a chart. Click the little ... (More) on the oscillator. Then add this indicator "Divergence Indicator (any oscillator)" on your oscillator of choice. Click the settings on this indicator and make sure the source is set to the right plot from your oscillator. Watch for it to plot divergences... Add this indicator a second time on the price chart (and select the same oscillator plot), but check the box "plot on price (rather than on indicator)"" See you divergence plotted on price (as well as on the oscillator)
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fth66 tarafından
1
Dynamic Momentum Oscillator (DYNAMO) by M.YALCINIn July 1996 Futures magazine, E. Marshall Wall introduces the Dynamic Momentum Oscillator (Dynamo). Please refer to this article for interpretation. The Dynamo oscillator is a normalizing function that adjusts the values of a standard oscillator for trendiness by taking the difference between the value of the oscillator and a moving average of the oscillator and then subtracting that value from the oscillator midpoint. Dynamo Oscillator is calculated according to: Dynamo = Mc - ( MAo - O ) where: Mc = the midpoint of the oscillator MAo = a moving average of the oscillator O = the oscillator Usage: This concept can be applied to most oscillators to improve their results. This example applies it to an RSI oscillator in MetaStock: 50-(Mov(RSI(14),21,S)-RSI(14)) where: Mc = RSI's midpoint = 50 MAo = Moving average of the RSI = Mov(RSI(14),21,S O= RSI Oscillator = RSI(14) Also with this indicator, you can adjust the moving average type and RSI calculation types dynamically.
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mayyalcin tarafından
Momentum Pinball//////////////////////////////////////////////////////////////////////////////////////////////// //// Momentum Pinball, when you get a buy/sell signal, wait for the next day //// enter on the high or low of the first hour and place a stop in the low/high //// of the first hour. If the day you get filled closes profitable you can decide to close //// the trade buy the end of the day or hold overnight and exit the following morning ////////////////////////////////////////////////////////////////////////////////////////////
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simtrader19a tarafından
Momentum Pinball IndicatorMomentum Pinball, when you get a buy/sell signal, wait for the next day enter on the high or low of the first hour (depending on the signal) and place a stop in the low/high of the first hour. If the day you get filled closes profitable you can decide to close the trade by the end of the day or hold overnight (if there was a considerable move) and exit the following morning. This strategy is based on the 3 period RSI of the one period ROC
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the_no_factor tarafından
2
Stochastic Momentum IndexThis is an implementation of the Stochastic Momentum Index from William Blau's his article in Stocks & Commodities . This also allows the use of various different kinds of moving averages for the signal line. Options for this argument are: sma (simple moving average) ema (exponential moving average) wma (weighted moving average) trima (triangular moving average) zlema (zero-lag exponential moving average) dema (double exponential moving average) tema (triple exponential moving average) hma (hull moving average)
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JacobAmos tarafından
6
Stochastic Momentum Index (SMI)Stochastic Momentum Index (SMI) or Stoch MTM is used to find oversold and overbought zones. It also helps to figureout whether to enter short trade or long trade. Red Shade in the Top indicates that the stock is oversold and the Green shade in the bottom indicates overbought. Strategy: Enter Long once the Overbought Zone ended and there's a crossover below -35. Exit Long once the oversold zone is ended and there's a crossover. Enter Short once the oversold zone is ended and there's a crossover above 35. Exit Short once the Overbought Zone ended and there's a crossover. Backup: Always use with another indicator because there will be multiple up and down movement in one Trend.
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surjithctly tarafından
51
Dynamic Momentum Oscillator (Dynamo)Hi, In July 1996 Futures magazine, E. Marshall Wall introduces the Dynamic Momentum Oscillator (Dynamo). Please refer to this article for interpretation. The Dynamo oscillator is a normalizing function which adjusts the values of a standard oscillator for trendiness by taking the difference between the value of the oscillator and a moving average of the oscillator and then subtracting that value from the oscillator midpoint.
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HPotter tarafından
Trend detection zero lag Trend Detection Zero-Lag (v6) Trend Detection Zero-Lag is a high-performance trend identification indicator designed for intraday traders, scalpers, and swing traders who require fast trend recognition with minimal lag. It combines a zero-lag Hull Moving Average, slope analysis, swing structure logic, and adaptive volatility sensitivity to deliver early yet stable trend signals. This indicator is optimized for real-time decision-making, particularly in fast markets where traditional moving averages react too slowly. Core Features 🔹 Zero-Lag Trend Engine Uses a Zero-Lag Hull Moving Average (HMA) to reduce lag by approximately 40–60% versus standard moving averages. Provides earlier trend shifts while maintaining smoothness. 🔹 Multi-Factor Trend Detection Trend direction is determined using a hybrid engine: HMA slope (momentum direction) Rising / falling confirmation Swing structure detection (HH/HL vs LH/LL) ATR-adjusted dynamic sensitivity This approach allows fast flips when conditions change, without excessive noise. Adaptive Volatility Sensitivity Sensitivity dynamically adjusts based on ATR relative to price In high volatility: faster reaction In low volatility: smoother, more stable trend state This ensures the indicator adapts across: Trend days Range days Volatility expansion or contraction Trend Duration Intelligence The indicator tracks historical trend durations and maintains a rolling memory of recent bullish and bearish phases. From this, it calculates: Current trend duration Average historical duration for the active trend direction This helps traders gauge: Whether a trend is early, mature, or extended Probability of continuation vs exhaustion Strength Scoring A normalized Trend Strength Score (0–100) is calculated using: Zero-lag slope magnitude ATR normalization This provides a quick read on: Weak / choppy trends Healthy trend continuation Overextended momentum Visual Design Color-coded Zero-Lag HMA Bullish trend → user-defined bullish color Bearish trend → user-defined bearish color Designed for dark mode / neon-style charts Clean overlay with no clutter Trend Detection Zero-Lag is built for traders who need: Faster trend recognition Adaptive behavior across market regimes Structural confirmation beyond simple moving averages Clear, actionable visual signals
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MomentumCraft_ tarafından
Persistence# Persistence ## What it does Measures **price change persistence**, defined as the percentage of bars within a lookback window that closed higher than the prior close. A high value means the instrument has been closing up frequently, which can indicate durable momentum. This mirrors Stockbee’s idea: *select stocks with high price change persistence*, and then combine **momentum plus persistence**. ## Can be used for scanning in PineScreener ## Calculation * `isUp` is true when `close > close `. * `countUp` counts true instances over the last `len` bars. * `pctUp = 100 * countUp / len`, bounded between 0 and 100. * A 50% level is a natural baseline. Above 50% suggests more up closes than down closes in the window. ## Inputs * **Lookback bars (`len`)**: default 252 for roughly one trading year on a daily chart. On weekly charts use something like 52, on monthly charts use 12. ## How to use 1. **Screen for persistence** Sort a watchlist by the plotted value, higher is better. Many momentum traders start looking above 58 to 65 percent, then layer a trend filter. 2. **Combine with momentum** Examples, pick tickers with: * `pctUp > 60`, and price above a rising EMA50 or EMA100. * `pctUp rising` and weekly ROC positive. 3. **Switch timeframe to change the horizon** * Daily chart with `len = 252` approximates one year. * Weekly chart with `len = 52` approximates one year. * Monthly chart with `len = 12` approximates one year. ## TC2000 equivalence Stockbee’s TC2000 expression: ``` CountTrue(c > c1, 252) ``` ## Interpretation guide * **70 to 90**: very strong persistence; often trend leaders, check for extensions and risk controls. * **60 to 70**: constructive persistence; good hunting ground for swing setups that also pass momentum filters. * **50**: neutral baseline; around random up vs down frequency. * **Below 50**: persistent weakness; consider only for mean reversion or short strategies. ## Practical tips * **Event effects**: ex-dividend gaps can reduce persistence on high yield names. Earnings gaps can swing the value sharply. * **Survivorship bias**: when backtesting on curated lists, persistence can look cleaner than in live scans. * **Liquidity**: thin names may show noisy persistence due to erratic prints. ## Reference to Stockbee * “One way to select stocks for swing trading is to find those with high price change persistence.” * “Persistence can be calculated on a daily, monthly, or weekly timeframe.” * TC2000 function: `CountTrue(c > c1, 252)` * Example noted in the tweet: CVNA had very high one-year price persistence at the time of that post. * Takeaway: **look for momentum plus persistence**, not persistence alone.
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BB_9791 tarafından
MCOTs Intuition StrategyInitial Capital: The strategy starts with an initial capital of $50,000. Execution: Trades are executed on every price tick to capture all potential movements. Contract Size: The default position size is one contract per trade. Timeframe: Although not explicitly mentioned, this strategy is intended for a one-minute timeframe. RSI Calculation: The Relative Strength Index (RSI) is calculated over a user-defined period (default is 14 periods). Standard Deviation: The script calculates the standard deviation of the change in RSI values to determine the threshold for entering trades. Exhaustion Detection: Before entering a long or short position, the script checks for exhaustion in the RSI’s momentum. This is to avoid entering trades during extreme conditions where a reversal is likely. Entry Conditions: A long position is entered when the current RSI momentum exceeds the standard deviation threshold and is less than the previous momentum multiplied by an exhaustion factor. A short position is entered under the opposite conditions. Limit Orders for Exit: Instead of traditional stop loss and take profit orders, the strategy uses limit orders to exit positions. This means the strategy sets a desired price level to close the position and waits for the market to reach this price. Profit Target and Stop Loss: The script allows setting a profit target and stop loss in terms of ticks, which are the smallest measurable increments in price movement for the traded asset. blah blah whatever
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csth97 tarafından
Unbounded RSIIntroducing the concept of "Unbounded RSI". Instead of indexing the average gain and average loss, over the time period of interest, we leave the average gain and loss unbounded. Instead we "bound" them by difference of each and smoothen out this difference in an envelope using exponential average. See code. What this does to traditional RSI concept? No concept of "overbought", "oversold" No concept of "60-40", "70-30" bands and arguments over it No concept of "Range Shifts" ... How to use it? I am generally a positional long trader. So I present my version. Of course, I expect each individual who decide to use this concept, to come up with their ideas, based on their style and temperament. The points below, I apply on a Weekly Timeframe Chart. Once, we see a long consolidation and price breakout, we should be able to see "Green" histogram bars. These appear, once we have the stock at least 20% up from the 52WL and the "Unbounded RSI" has turned positive. This can be a good time to "enter" into the scrip. The height of the bars are significant, since they essentially show, that the "gap" between the avg. gain and avg. loss is widening, indicating momentum. Swing trading can thrive in these environments I guess. Falling heights indicate that gaps to close, though, the "gap can still be green". This means, momentum is now falling. Swing traders and "quick buck makers", would ideally book profits here. If the color of the bars still remain "Green" it indicates that momentum has reduced but still the gains are "more" than loss on the timeperiod selected. Once the histogram turns red, it means that the gain is now lower than loss. An increasing height underground, means this loss is widening. Generally, this will corelate with price action (not necessarily volume). At this time, exits should be looked for, may be also check other factors/indicators to decide, but surely the momentum and the gain% over the timeperiod selected has now gone. Note for Pine Coders: The source code can easily be modified to develop this concept further. For example: Use different smoothing algorithms Remove 52WL condition and introduce new additional conditions Instead of price change of the stock for gain/loss calculations, we use the concept of Relative Strength (RS, not RSI) and measuere the gain/loss based on a benchmark index . I intend to work on this concept, soon. You shall see a variable "unboundedRSI" which is actually a ratio of the Avg. Gain / Avg. Loss. This ratio is not plotted. It is kept there, for future use. Many more
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bharatTrader tarafından
3
ForecastForecast (FC), indicator documentation Type: Study, not a strategy Primary timeframe: 1D chart, most plots and the on-chart table only render on daily bars Inspiration: Robert Carver’s “forecast” concept from Advanced Futures Trading Strategies, using normalized, capped signals for comparability across markets ⸻ What the indicator does FC builds a volatility-normalized momentum forecast for a chosen symbol, optionally versus a benchmark. It combines an EWMAC composite with a channel breakout composite, then caps the result to a common scale. You can run it in three data modes: • Absolute: Forecast of the selected symbol • Relative: Forecast of the ratio symbol / benchmark • Combined: Average of Absolute and Relative A compact table can summarize the current forecast, short-term direction on the forecast EMAs, correlation versus the benchmark, and ATR-scaled distances to common price EMAs. ⸻ PineScreener, relative-strength screening This indicator is excellent for screening on relative strength in PineScreener, since the forecast is volatility-normalized and capped on a common scale. Available PineScreener columns PineScreener reads the plotted series. You will see at least these columns: • FC, the capped forecast • from EMA20, (price − EMA20) / ATR in ATR multiples • from EMA50, (price − EMA50) / ATR in ATR multiples • ATR, ATR as a percent of price • Corr, weekly correlation with the chosen benchmark Relative mode and Combined mode are recommended for cross-sectional screens. In Relative mode the calculation uses symbol / benchmark, so ensure the ratio ticker exists for your data source. ⸻ How it works, step by step 1. Volatility model Compute exponentially weighted mean and variance of daily percent returns on D, annualize, optionally blend with a long lookback using 10y %, then convert to a price-scaled sigma. 2. EWMAC momentum, three legs Daily legs: EMA(8) − EMA(32), EMA(16) − EMA(64), EMA(32) − EMA(128). Divide by price-scaled sigma, multiply by leg scalars, cap to Cap = 20, average, then apply a small FDM factor. 3. Breakout momentum, three channels Smoothed position inside 40, 80, and 160 day channels, each scaled, then averaged. 4. Composite forecast Average the EWMAC composite and the breakout composite, then cap to ±20. Relative mode runs the same logic on symbol / benchmark. Combined mode averages Absolute and Relative composites. 5. Weekly correlation Pearson correlation between weekly closes of the asset and the benchmark over a user-set length. 6. Direction overlay Two EMAs on the forecast series plus optional green or red background by sign, and optional horizontal level shading around 0, ±5, ±10, ±15, ±20. ⸻ Plots • FC, capped forecast on the daily chart • 8-32 Abs, 8-32 Rel, single-leg EWMAC plus breakout view • 8-32-128 Abs, 8-32-128 Rel, three-leg composite views • from EMA20, from EMA50, (price − EMA) / ATR • ATR, ATR as a percent of price • Corr, weekly correlation with the benchmark • Forecast EMA1 and EMA2, EMAs of the forecast with an optional fill • Backgrounds and guide lines, optional sign-based background, optional 0, ±5, ±10, ±15, ±20 guides Most plots and the table are gated by timeframe.isdaily. Set the chart to 1D to see them. ⸻ Inputs Symbol selection • Absolute, Relative, Combined • Vs. benchmark for Relative mode and correlation, choices: SPY, QQQ, XLE, GLD • Ticker or Freeform, for Freeform use full TradingView notation, for example NASDAQ:AAPL Engine selection • Include: • 8-32-128, three EWMAC legs plus three breakouts • 8-32, simplified view based on the 8-32 leg plus a 40-day breakout EMA, applied to the forecast • EMA1, EMA2, with line-width controls, plus color and opacity Volatility • Span, EW volatility span for daily returns • 10y %, blend of long-run volatility • Thresh, Too volatile, placeholders in this version Background • Horizontal bg, level shading, enabled by default • Long BG, Hedge BG, colors and opacities Show • Table, Header, Direction, Gain, Extension • Corr, Length for correlation row Table settings • Position, background, opacity, text size, text color Lines • 0-lines, 10-lines, 5-lines, level guides ⸻ Reading the outputs • Forecast > 0, bullish tilt; Forecast < 0, bearish or hedge tilt • ±10 and ±20 indicate strength on a uniform scale • EMA1 vs EMA2 on the forecast, EMA1 above EMA2 suggests improving momentum • Table rows, label colored by sign, current forecast value plus a green or red dot for the forecast EMA cross, optional daily return percent, weekly correlation, and ATR-scaled EMA9, EMA20, EMA50 distances ⸻ Data handling, repainting, and performance • Daily and weekly series are fetched with request.security(). • Calculations use closed bars, values can update until the bar closes. • No lookahead, historical values do not repaint. • Weekly correlation updates during the week, it finalizes on weekly close. • On intraday charts most visuals are hidden by design. ⸻ Good practice and limitations • This is a research indicator, not a trading system. • The fixed Cap = 20 keeps a common scale, extreme moves will be clipped. • Relative mode depends on the ratio symbol / benchmark, ensure both legs have data for your feed. ⸻ Credits Concept inspired by Robert Carver’s forecast methodology in Advanced Futures Trading Strategies. Implementation details, parameters, and visuals are specific to this script. ⸻ Changelog • First version ⸻ Disclaimer For education and research only, not financial advice. Always test on your market and data feed, consider costs and slippage before using any indicator in live decisions.
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BB_9791 tarafından
TrendShift [MOT]📈 TrendShift – Multi-Factor Momentum & Trend Signal Suite TrendShift is a precision-built momentum and confluence tool designed to highlight directional shifts in price action. It combines EMA slope structure, oscillator confirmation, volume behavior, and dynamic SL/TP logic into one cohesive system. Whether you're trading with the trend or catching reversals, TrendShift provides data-backed clarity and visual confidence — and it’s available free to the public. 🔍 Core Signal Logic Buy (🟢 Long) and Sell (🔴 Short) signals are triggered when multiple conditions align within a set bar window (default: 5 bars): Stochastic RSI K/D cross RSI crosses above 20 (long) or below 80 (short) Stochastic RSI breaks 20 (long) or 80 (short) Volume exceeds 20-bar average 🧭 Visual Trend Dashboard – Signal Table A real-time on-chart dashboard displays: EMA Trend: Bullish / Bearish / Mixed (based on 4 EMA slopes) Stoch RSI: Oversold / Overbought / Neutral RSI: Exact value with zone label Volume: Above or Below average Dashboard theme and position are fully customizable. 📐 Trend Structure with EMA Slope Logic Plots four EMAs (21, 50, 100, 200) color-coded by slope: Green = Rising Red = Falling These feed into the dashboard's EMA Trend display. 🎯 Optional Take Profit / Stop Loss Zones When enabled, SL/TP lines plot automatically on valid signals: Fixed-distance targets (e.g., 10pt TP, 5pt SL) Auto-remove on TP or SL hit Separate lines for long vs. short trades Fully customizable styling 🔁 Trailing Stop Filter (Internal Logic) A custom ATR-based trailing stop helps validate directional strength: ATR period HHV window ATR multiplier Used internally — not plotted — to confirm trend progression before entry. ⚙️ Customizable Parameters Every core component is user-configurable: EMA periods: 21 / 50 / 100 / 200 ATR trailing logic: period, HHV, multiplier Oscillator settings: Stoch RSI & RSI Volume length SL/TP toggles and point values Bar clustering window Dashboard theme and location 🔔 Alerts Included BUY Signal Triggered SELL Signal Triggered Compatible with webhook automation or mobile push notifications. ⚠️ Disclaimer This tool is for educational purposes only and is not financial advice. Trading involves risk — always do your own research and consult a licensed professional before making trading decisions.
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TheBigDaddyMax tarafından
3
Reversal Trap Sniper – Verified VersionReversal Trap Sniper Overview Reversal Trap Sniper is a counterintuitive momentum-following strategy that identifies "reversal traps"—situations where traders expect a market reversal based on RSI, but the price continues trending. By detecting these failed reversal signals, the strategy enters trades in the trend direction, often catching strong follow-through moves. How It Works The system monitors the Relative Strength Index (RSI). When RSI moves above the overbought level (e.g., 70) and then drops back below it, many traders interpret this as a sell signal. However, this strategy treats such moves with caution. If the RSI pulls back below the overbought threshold but the price continues to rise, the system considers it a "reversal trap"—a fakeout. In such cases, instead of going short, the strategy enters a long position, assuming that the trend is still valid and those betting on a reversal may fuel a breakout. Similarly, if RSI rises above the oversold level from below, but price continues falling, a short trade is triggered. Entries are followed by ATR-based stop-loss and dynamic take-profit (2× risk), with a fallback time-based exit after 30 bars. Key Features - Detects failed RSI-based reversals ("traps") - Follows momentum after the trap is triggered - Uses ATR for dynamic stop-loss and take-profit - Auto-exit after a fixed bar count (30 bars) - Visual markers on chart for transparency - Realistic trading assumptions: 0.05% commission, slippage, and capped pyramiding Parameter Explanation RSI Length (14): Standard RSI calculation period Overbought/Oversold Levels (70/30): Common thresholds used by many traders ATR Length (14): Used to define stop-loss and target dynamically Risk-Reward Ratio (2.0): Take-profit is set at 2× the stop-loss distance Max Holding Bars (30): Ensures trades don’t remain open indefinitely Pyramiding (10): Allows scaling into trades, simulating real-world strategy stacking Originality Note This strategy inverts traditional RSI logic. Instead of treating overbought/oversold conditions as signals for reversal, it waits for those signals to fail. Only after such failures, confirmed by continued price action in the same direction, does the system enter trades. This logic is based on the behavioral observation that failed reversal signals often trigger stronger trend continuation—making this strategy uniquely positioned to exploit trap scenarios. Disclaimer This script is for educational and research purposes only. Trading involves risk, and past performance does not guarantee future results. Always test thoroughly before applying with live capital.
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CMATechnologies tarafından