OA - SMESSmart Money Entry Signals (SMES)
The SMES indicator is developed to identify potential turning points in market behavior by analyzing internal price dynamics, rather than relying on external volume or sentiment data. It leverages normalized price movement, directional volatility, and smoothing algorithms to detect potential areas of accumulation or distribution by market participants.
Core Concepts
Smart Money Flow calculation based on normalized price positioning
Directional VHF (Vertical Horizontal Filter) used to enhance signal directionality
Overbought and Oversold regions defined with optional glow visualization
Entry and Exit signals based on dynamic crossovers
Highly customizable input parameters for precision control
Key Inputs
Smart Money Flow Period
Smoothing Period
Price Analysis Length
Fibonacci Lookback Length
Visual toggle options (zones, glow effects, signal display)
Usage
This tool plots the smoothed smart money flow as a standalone oscillator, designed to help traders identify potential momentum shifts or extremes in market sentiment. Entry signals are generated through crossover logic, while optional filters based on price behavior can refine those signals. Exit signals are shown when the smart money line exits extreme regions.
Important Notes
This indicator does not repaint
Works on all timeframes and instruments
Best used as a confirmation tool with other technical frameworks
All calculations are based strictly on price data
Disclaimer
This script is intended for educational purposes only. It does not provide financial advice or guarantee performance. Please do your own research and apply appropriate risk management before making any trading decisions.
Momentum Göstergesi (MOM)
Momentum StrategyMomentum Strategy using Volume, RSI and MACD
Optimised using AI to determine:
"Volume MA Lookback" and Volume Spike Threshold"
"RSI Length" vs. "RSI Midline Level"
"MACD Fast Length" , "MACD Slow Length" and"MACD Signal Length"
to generate a "Slow MA Length"
Kaufman Trend Strategy# ✅ Kaufman Trend Strategy – Full Description (Script Publishing Version)
**Kaufman Trend Strategy** is a dynamic trend-following strategy based on Kaufman Filter theory.
It detects real-time trend momentum, reduces noise, and aims to enhance entry accuracy while optimizing risk.
⚠️ _For educational and research purposes only. Past performance does not guarantee future results._
---
## 🎯 Strategy Objective
- Smooth price noise using Kaufman Filter smoothing
- Detect the strength and direction of trends with a normalized oscillator
- Manage profits using multi-stage take-profits and adaptive ATR stop-loss logic
---
## ✨ Key Features
- **Kaufman Filter Trend Detection**
Extracts directional signal using a state space model.
- **Multi-Stage Profit-Taking**
Automatically takes partial profits based on color changes and zero-cross events.
- **ATR-Based Volatility Stops**
Stops adjust based on swing highs/lows and current market volatility.
---
## 📊 Entry & Exit Logic
**Long Entry**
- `trend_strength ≥ 60`
- Green trend signal
- Price above the Kaufman average
**Short Entry**
- `trend_strength ≤ -60`
- Red trend signal
- Price below the Kaufman average
**Exit (Long/Short)**
- Blue trend color → TP1 (50%)
- Oscillator crosses 0 → TP2 (25%)
- Trend weakens → Final exit (25%)
- ATR + swing-based stop loss
---
## 💰 Risk Management
- Initial capital: `$3,000`
- Order size: `$100` per trade (realistic, low-risk sizing)
- Commission: `0.002%`
- Slippage: `2 ticks`
- Pyramiding: `1` max position
- Estimated risk/trade: `~0.1–0.5%` of equity
> ⚠️ _No trade risks more than 5% of equity. This strategy follows TradingView script publishing rules._
---
## ⚙️ Default Parameters
- **1st Take Profit**: 50%
- **2nd Take Profit**: 25%
- **Final Exit**: 25%
- **ATR Period**: 14
- **Swing Lookback**: 10
- **Entry Threshold**: ±60
- **Exit Threshold**: ±40
---
## 📅 Backtest Summary
- **Symbol**: USD/JPY
- **Timeframe**: 1H
- **Date Range**: Jan 3, 2022 – Jun 4, 2025
- **Trades**: 924
- **Win Rate**: 41.67%
- **Profit Factor**: 1.108
- **Net Profit**: +$1,659.29 (+54.56%)
- **Max Drawdown**: -$1,419.73 (-31.87%)
---
## ✅ Summary
This strategy uses Kaufman filtering to detect market direction with reduced lag and increased smoothness.
It’s built with visual clarity and strong trade management, making it practical for both beginners and advanced users.
---
## 📌 Disclaimer
This script is for educational and informational purposes only and should not be considered financial advice.
Use with proper risk controls and always test in a demo environment before live trading.
Deviation from EMA & VWAPThis indicator displays the real-time percentage deviation of price from both the EMA and VWAP.
🔹 EMA Deviation is shown as a smooth blue line
🟧 VWAP Deviation is shown as an orange histogram
📉 Use it to spot overbought/oversold conditions or sharp impulse moves
🔔 Built-in alerts for extreme deviations
🎯 Fully customizable: EMA length, deviation thresholds, VWAP toggle, and more
Ideal for identifying counter-trend setups and price extremes across all timeframes.
Cumulative Intraday Volume with Long/Short LabelsThis indicator calculates a running total of volume for each trading day, then shows on the price chart when that total crosses levels you choose. Every day at 6:00 PM Eastern Time, the total goes back to zero so it always reflects only the current day’s activity. From that moment on, each time a new candle appears the indicator looks at whether the candle closed higher than it opened or lower. If it closed higher, the candle’s volume is added to the running total; if it closed lower, the same volume amount is subtracted. As a result, the total becomes positive when buyers have dominated so far today and negative when sellers have dominated.
Because futures markets close at 6 PM ET, the running total resets exactly then, mirroring the way most intraday traders think in terms of a single session. Throughout the day, you will see this running total move up or down according to whether more volume is happening on green or red candles. Once the total goes above a number you specify (for example, one hundred thousand contracts), the indicator will place a small “Long” label at that candle on the main price chart to let you know buying pressure has reached that level. Similarly, once the total goes below a negative number you choose (for example, minus one hundred thousand), a “Short” label will appear at that candle to signal that selling pressure has reached your chosen threshold. You can set these threshold numbers to whatever makes sense for your trading style or the market you follow.
Because raw volume alone never turns negative, this design uses candle direction as a sign. Green candles (where the close is higher than the open) add volume, and red candles (where the close is lower than the open) subtract volume. Summing those signed volume values tells you in a single number whether buying or selling has been stronger so far today. That number resets every evening, so it does not carry over any buying or selling from previous sessions.
Once you have this indicator on your chart, you simply watch the “summed volume” line as it moves throughout the day. If it climbs past your long threshold, you know buyers are firmly in control and a long entry might make sense. If it falls past your short threshold, you know sellers are firmly in control and a short entry might make sense. In quieter markets or times of low volume, you might use a smaller threshold so that even modest buying or selling pressure will trigger a label. During very active periods, a larger threshold will prevent too many signals when volume spikes frequently.
This approach is straightforward but can be surprisingly powerful. It does not rely on complex formulas or hidden statistical measures. Instead, it simply adds and subtracts daily volume based on candle color, then alerts you when that total reaches levels you care about. Over several years of historical testing, this formula has shown an ability to highlight moments when intraday sentiment shifts decisively from buyers to sellers or vice versa. Because the indicator resets every day at 6 PM, it always reflects only today’s sentiment and remains easy to interpret without carrying over past data. You can use it on any intraday timeframe, but it works especially well on five-minute or fifteen-minute charts for futures contracts.
If you want a clear gauge of whether buyers or sellers are dominating in real time, and you prefer a rule-based method rather than a complex model, this indicator gives you exactly that. It shows net buying or selling pressure at a glance, resets each session like most intraday traders do, and marks the moments when that pressure crosses the levels you decide are important. By combining a daily reset with signed volume, you get a single number that tells you precisely what the crowd is doing at any given moment, without any of the guesswork or hidden calculations that more complicated indicators often carry.
Enhanced EMA Band Rejection Strategy📈 Enhanced EMA Band Rejection Strategy 🎯
🌟 Revolutionary Trading Approach with Smart Band Recognition
🔥 What Makes This Strategy Unique?
🎪 The Power of EMA Band Rejection - This isn't just another EMA crossover strategy! We've engineered a sophisticated system that identifies high-probability reversal opportunities when price gets rejected from EMA bands, creating explosive momentum moves.
🎯 Core Trading Logic
📊 Dual EMA System (12 & 21)
🟢 Bullish Environment: EMA12 > EMA21 (Green Bands)
🔴 Bearish Environment: EMA12 < EMA21 (Red Bands)
⚡ Trend Consistency: Requires sustained trend direction for configurable bars
🚀 Entry Conditions - Precision Engineered
📈 LONG Setups (Bullish Rejection)
🎯 Price wicks down to touch EMA bands
💪 Strong bullish candle body (body > lower wick)
✂️ Minimal upper wick (< 2% of candle range)
🟢 Close ABOVE both EMAs (breakout confirmation)
🛡️ Previous candle didn't close below lower band
⏰ Consistent bullish trend for required bars
📉 SHORT Setups (Bearish Rejection)
🎯 Price wicks up to touch EMA bands
💪 Strong bearish candle body (body > upper wick)
✂️ Minimal lower wick (< 2% of candle range)
🔴 Close BELOW both EMAs (breakdown confirmation)
🛡️ Previous candle didn't close above upper band
⏰ Consistent bearish trend for required bars
🛡️ Advanced Risk Management
💎 Fixed Risk-Reward Ratio (Default 3:1)
🔴 Stop Loss: Previous candle's high/low
🎯 Take Profit: Automatically calculated based on R:R ratio
📊 Position Sizing: Percentage of equity (default 10%)
🔔 Smart Notification System
🚨 Complete Alert Suite:
🟢 Entry Signals: Instant trade entry notifications
🛑 Exit Alerts: Stop loss and take profit hits
⚠️ Setup Warnings: Potential setups forming
❌ Failed Conditions: Debug failed entries
📱 Mobile Friendly: Formatted for all devices
🎛️ Fully Customizable Parameters
⚙️ Fine-Tune Your Edge:
📏 EMA lengths (default 12/21)
🎯 Risk-reward ratio (1:1 to 10:1)
📊 Maximum wick percentage tolerance
⏳ Trend consistency requirements
🔔 Notification preferences
🧠 Advanced Debugging Features
🔍 Real-Time Analysis Dashboard:
📋 Live condition monitoring table
🎨 Color-coded background alerts
📊 Detailed failure analysis
💡 Previous candle position tracking
🔄 Trend consistency verification
🎨 Visual Excellence
🖼️ Professional Chart Presentation:
🔵 EMA12 (Blue line)
🔴 EMA21 (Red line)
🟢 Long entry backgrounds
🔴 Short entry backgrounds
🎯 Stop loss and take profit levels
🏷️ Entry/exit labels
📊 Performance Optimized
⚡ Built for Speed & Accuracy:
🚀 Efficient Pine Script v5 code
🎯 Precise mathematical calculations
🔄 Real-time condition checking
📱 Optimized for all timeframes
💾 Memory-efficient execution
🎪 Why Traders Love This Strategy
✅ High Win Rate Potential: Catches strong momentum moves after rejection
✅ Clear Entry/Exit Rules: No guesswork or emotional decisions
✅ Excellent Risk Management: Fixed R:R with automatic stops
✅ Trend-Following Edge: Only trades with the dominant trend
✅ Multiple Timeframe Friendly: Works on various timeframes
✅ Comprehensive Alerts: Never miss a trading opportunity
✅ Professional Grade: Institution-quality logic and execution
Made by NickGolobor.GM
TSLA 5min Trend Strategy: MACD + Slow StochasticsThis intraday strategy combines MACD (12, 26, 9) and Slow Stochastics (14, 3, 3) to identify trend-confirmed entries on TSLA 5-minute charts.
**Entry Condition**:
MACD line crosses above signal line **AND** %K crosses above %D while both are below 80.
**Exit Condition**:
MACD crosses below the signal line **OR** %K crosses below %D while both are above 80.
This strategy is most effective in trending markets.
- **Win Rate**: 50%
- **Profit Factor**: 1.86
- **Total P&L**: +$224K over 58 trades
MACD + RSIThis strategy combines the MACD (12, 26, 9) and Slow Stochastic (14, 3, 3) indicators to capture trend-following opportunities on Tesla's 5-minute chart. It is designed to perform best during trending market conditions, where momentum confirmation improves trade precision.
Buy signals occur when MACD crosses above its signal line and the Stochastic %K crosses above %D from below the 20 level. Sell/exit signals trigger when either MACD crosses below its signal line or Stochastic crosses down from above 80.
**Backtest Results (Tesla, 5-min chart):**
- Total P&L: +$224,725
- Win Rate: 50.00% (29 out of 58 trades)
- Profit Factor: 1.86
- Max Drawdown: $60,808.48 (4.81%)
- Time Frame: Intraday (5-min), Strategy Period ~60 trades
This script is most effective during clear upward or downward momentum phases. For optimal use, avoid ranging/choppy market conditions.
MACD + RSIThis strategy combines the MACD (12, 26, 9) and Slow Stochastic (14, 3, 3) indicators to capture trend-following opportunities on Tesla's 5-minute chart. It is designed to perform best during trending market conditions, where momentum confirmation improves trade precision.
Buy signals occur when MACD crosses above its signal line and the Stochastic %K crosses above %D from below the 20 level. Sell/exit signals trigger when either MACD crosses below its signal line or Stochastic crosses down from above 80.
**Backtest Results (Tesla, 5-min chart):**
- Total P&L: +$224,725
- Win Rate: 50.00% (29 out of 58 trades)
- Profit Factor: 1.86
- Max Drawdown: $60,808.48 (4.81%)
- Time Frame: Intraday (5-min), Strategy Period ~60 trades
This script is most effective during clear upward or downward momentum phases. For optimal use, avoid ranging/choppy market conditions.
Uptrick: Z-Trend BandsOverview
Uptrick: Z-Trend Bands is a Pine Script overlay crafted to capture high-probability mean-reversion opportunities. It dynamically plots upper and lower statistical bands around an EMA baseline by converting price deviations into z-scores. Once price moves outside these bands and then reenters, the indicator verifies that momentum is genuinely reversing via an EMA-smoothed RSI slope. Signal memory ensures only one entry per momentum swing, and traders receive clear, real-time feedback through customizable bar-coloring modes, a semi-transparent fill highlighting the statistical zone, concise “Up”/“Down” labels, and a live five-metric scoring table.
Introduction
Markets often oscillate between trending and reverting, and simple thresholds or static envelopes frequently misfire when volatility shifts. Standard deviation quantifies how “wide” recent price moves have been, and a z-score transforms each deviation into a measure of how rare it is relative to its own history. By anchoring these bands to an exponential moving average, the script maintains a fluid statistical envelope that adapts instantly to both calm and turbulent regimes. Meanwhile, the Relative Strength Index (RSI) tracks momentum; smoothing RSI with an EMA and observing its slope filters out erratic spikes, ensuring that only genuine momentum flips—upward for longs and downward for shorts—qualify.
Purpose
This indicator is purpose-built for short-term mean-reversion traders operating on lower–timeframe charts. It reveals when price has strayed into the outer 5 percent of its recent range, signaling an increased likelihood of a bounce back toward fair value. Rather than firing on price alone, it demands that momentum follow suit: the smoothed RSI slope must flip in the opposite direction before any trade marker appears. This dual-filter approach dramatically reduces noise-driven, false setups. Traders then see immediate visual confirmation—bar colors that reflect the latest signal and age over time, clear entry labels, and an always-visible table of metric scores—so they can gauge both the validity and freshness of each signal at a glance.
Originality and Uniqueness
Uptrick: Z-Trend Bands stands apart from typical envelope or oscillator tools in four key ways. First, it employs fully normalized z-score bands, meaning ±2 always captures roughly the top and bottom 5 percent of moves, regardless of volatility regime. Second, it insists on two simultaneous conditions—price reentry into the bands and a confirming RSI slope flip—dramatically reducing whipsaw signals. Third, it uses slope-phase memory to lock out duplicate signals until momentum truly reverses again, enforcing disciplined entries. Finally, it offers four distinct bar-coloring schemes (solid reversal, fading reversal, exceeding bands, and classic heatmap) plus a dynamic scoring table, rather than a single, opaque alert, giving traders deep insight into every layer of analysis.
Why Each Component Was Picked
The EMA baseline was chosen for its blend of responsiveness—weighting recent price heavily—and smoothness, which filters market noise. Z-score deviation bands standardize price extremes relative to their own history, adapting automatically to shifting volatility so that “extreme” always means statistically rare. The RSI, smoothed with an EMA before slope calculation, captures true momentum shifts without the false spikes that raw RSI often produces. Slope-phase memory flags prevent repeated alerts within a single swing, curbing over-trading in choppy conditions. Bar-coloring modes provide flexible visual contexts—whether you prefer to track the latest reversal, see signal age, highlight every breakout, or view a continuous gradient—and the scoring table breaks down all five core checks for complete transparency.
Features
This indicator offers a suite of configurable visual and logical tools designed to make reversal signals both robust and transparent:
Dynamic z-score bands that expand or contract in real time to reflect current volatility regimes, ensuring the outer ±zThreshold levels always represent statistically rare extremes.
A smooth EMA baseline that weights recent price more heavily, serving as a fair-value anchor around which deviations are measured.
EMA-smoothed RSI slope confirmation, which filters out erratic momentum spikes by first smoothing raw RSI and then requiring its bar-to-bar slope to flip before any signal is allowed.
Slope-phase memory logic that locks out duplicate buy or sell markers until the RSI slope crosses back through zero, preventing over-trading during choppy swings.
Four distinct bar-coloring modes—Reversal Solid, Reversal Fade, Exceeding Bands, Classic Heat—plus a “None” option, so traders can choose whether to highlight the latest signal, show signal age, emphasize breakout bars, or view a continuous heat gradient within the bands.
A semi-transparent fill between the EMA and the upper/lower bands that visually frames the statistical zone and makes extremes immediately obvious.
Concise “Up” and “Down” labels that plot exactly when price re-enters a band with confirming momentum, keeping chart clutter to a minimum.
A real-time, five-metric scoring table (z-score, RSI slope, price vs. EMA, trend state, re-entry) that updates every two bars, displaying individual +1/–1/0 scores and an averaged Buy/Sell/Neutral verdict for complete transparency.
Calculations
Compute the fair-value EMA over fairLen bars.
Subtract that EMA from current price each bar to derive the raw deviation.
Over zLen bars, calculate the rolling mean and standard deviation of those deviations.
Convert each deviation into a z-score by subtracting the mean and dividing by the standard deviation.
Plot the upper and lower bands at ±zThreshold × standard deviation around the EMA.
Calculate raw RSI over rsiLen bars, then smooth it with an EMA of length rsiEmaLen.
Derive the RSI slope by taking the difference between the current and previous smoothed RSI.
Detect a potential reentry when price exits one of the bands on the prior bar and re-enters on the current bar.
Require that reentry coincide with an RSI slope flip (positive for a lower-band reentry, negative for an upper-band reentry).
On first valid reentry per momentum swing, fire a buy or sell signal and set a memory flag; reset that flag only when the RSI slope crosses back through zero.
For each bar, assign scores of +1, –1, or 0 for the z-score direction, RSI slope, price vs. EMA, trend-state, and reentry status.
Average those five scores; if the result exceeds +0.1, label “Buy,” if below –0.1, label “Sell,” otherwise “Neutral.”
Update bar colors, the semi-transparent fill, reversal labels, and the scoring table every two bars to reflect the latest calculations.
How It Actually Works
On each new candle, the EMA baseline and band widths update to reflect current volatility. The RSI is smoothed and its slope recalculated. The script then looks back one bar to see if price exited either band and forward to see if it reentered. If that reentry coincides with an appropriate RSI slope flip—and no signal has yet been generated in that swing—a concise label appears. Bar colors refresh according to your selected mode, and the scoring table updates to show which of the five conditions passed or failed, along with the overall verdict. This process repeats seamlessly at each bar, giving traders a continuous feed of disciplined, statistically filtered reversal cues.
Inputs
All parameters are fully user-configurable, allowing you to tailor sensitivity, lookbacks, and visuals to your trading style:
EMA length (fairLen): number of bars for the fair-value EMA; higher values smooth more but lag further behind price.
Z-Score lookback (zLen): window for calculating the mean and standard deviation of price deviations; longer lookbacks reduce noise but respond more slowly to new volatility.
Z-Score threshold (zThreshold): number of standard deviations defining the upper and lower bands; common default is 2.0 for roughly the outer 5 percent of moves.
Source (src): choice of price series (close, hl2, etc.) used for EMA, deviation, and RSI calculations.
RSI length (rsiLen): period for raw RSI calculation; shorter values react faster to momentum changes but can be choppier.
RSI EMA length (rsiEmaLen): period for smoothing raw RSI before taking its slope; higher values filter more noise.
Bar coloring mode (colorMode): select from None, Reversal Solid, Reversal Fade, Exceeding Bands, or Classic Heat to control how bars are shaded in relation to signals and band positions.
Show signals (showSignals): toggle on-chart “Up” and “Down” labels for reversal entries.
Show scoring table (enableTable): toggle the display of the five-metric breakdown table.
Table position (tablePos): choose which corner (Top Left, Top Right, Bottom Left, Bottom Right) hosts the scoring table.
Conclusion
By merging a normalized z-score framework, momentum slope confirmation, disciplined signal memory, flexible visuals, and transparent scoring into one Pine Script overlay, Uptrick: Z-Trend Bands offers a powerful yet intuitive tool for intraday mean-reversion trading. Its adaptability to real-time volatility and multi-layered filter logic deliver clear, high-confidence reversal cues without the clutter or confusion of simpler indicators.
Disclaimer
This indicator is provided solely for educational and informational purposes. It does not constitute financial advice. Trading involves substantial risk and may not be suitable for all investors. Past performance is not indicative of future results. Always conduct your own testing and apply careful risk management before trading live.
Volume Delta Percentage OscillatorInterpreting the Oscillator
Range: The oscillator fluctuates between -100 and +100.
Positive Values (0 to +100):
Indicate that estimated buying volume exceeds selling volume.
Higher positive values suggest stronger buying pressure.
Negative Values (-100 to 0):
Indicate that estimated selling volume exceeds buying volume.
Lower negative values suggest stronger selling pressure.
Zero Line:
A reading near zero suggests that buying and selling volumes are approximately equal.
Potential Uses:
Divergence Detection:
Identify potential reversals when the price is making new highs/lows but the oscillator isn't confirming.
Overbought/Oversold Conditions:
Use levels like +80 and -80 to identify extreme buying or selling conditions.
Trend Confirmation:
Confirm the strength of a trend when the oscillator moves in the same direction as the price.
Triple EMA Momentum Oscillator (TEMO) HistogramThis Pine Script code replicates the Python indicator you provided, calculating the Triple EMA Momentum Oscillator (TEMO) and generating signals based on its value and momentum.
Explanation of the Code:
User Inputs:
Allows you to adjust the periods for the short, mid, and long EMAs.
Calculate EMAs:
Computes the Exponential Moving Averages for the specified periods.
Calculate EMA Spreads (Distances):
Finds the differences between the EMAs to understand the spread between them.
Calculate Spread Velocities:
Determines the change in spreads from the previous period, indicating momentum.
Composite Strength Score:
Weighted calculation of the spreads normalized by the EMA values.
Velocity Accelerator:
Weighted calculation of the velocities normalized by the EMA values.
Final TEMO Oscillator:
Combines the spread strength and velocity accelerator to create the TEMO.
Generate Signals:
Signals are generated when TEMO is positive and increasing (buy), or negative and decreasing (sell).
Plotting:
Zero Line: Helps visualize when TEMO crosses from positive to negative.
TEMO Oscillator: Plotted with green for positive values and red for negative values.
Signals: Displayed as a histogram to indicate buy (1) and sell (-1) signals.
Usage:
Buy Signal: When TEMO is above zero and increasing.
Sell Signal: When TEMO is below zero and decreasing.
Note: This oscillator helps identify momentum changes based on EMAs of different periods. It's useful for detecting trends and potential reversal points in the market.
Clean XRP/USDT Alert & MarkerClean XRP/USDT Alert & Marker is a precision trading tool designed for futures traders. It highlights high-probability entry zones using visual markers and real-time alerts for both short and long breakouts.
🔍 Features:
Visual markers for short entry and long breakout
Real-time alerts at key levels (configurable)
Ideal for 1H and 4H strategies
Clean layout optimized for fast decision-making
Built for leverage-based futures trading
Use this script to improve timing, reduce noise, and trade XRP/USDT with clearer setups and better risk management.
Super Oscilador by RouroSuper Oscillator by Rouro
A high-precision composite momentum indicator that brings together five classic oscillators—RSI, Stochastic %K, CCI, Rate of Change (ROC) with ATR-based dynamic thresholds, and Williams %R—into a single, unified tool:
Normalized & Smoothed
• Each oscillator is scored (+1 overbought, –1 oversold, 0 neutral), averaged into a –1…+1 range and smoothed with an EMA for a clean, comparable line.
Intuitive Color Coding
• Oscillator line turns red in overbought territory, green in oversold, and blue in neutral zones.
Traffic-Light State Table
• A compact on-chart table shows each indicator’s real-time status (green/red/gray), so you can verify which signals are aligned.
Non-Repainting Buy/Sell Signals
• Arrows appear on confirmed exits from overbought/oversold levels (using barstate.isconfirmed), and can be hooked to TradingView alerts via built-in alertcondition.
Fully Customizable
• Choose manual ROC thresholds or let ATR dynamically adjust sensitivity. You get full control over periods, levels and smoothing to fit any asset or timeframe.
This all-in-one oscillator helps you spot confluence across multiple momentum tools at a glance, with zero repaint. Great for entries, exits and automated alerting.
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.
Volatility Pulse with Dynamic ExitVolatility Pulse with Dynamic Exit
Overview
This strategy, Volatility Pulse with Dynamic Exit, is designed to capture impulsive price moves following volatility expansions, while ensuring risk is managed dynamically. It avoids trades during low-volatility periods and uses momentum confirmation to enter positions. Additionally, it features a time-based forced exit system to limit overexposure.
How It Works
A position is opened when the current ATR (Average True Range) significantly exceeds its 20-period average, signaling a volatility expansion.
To confirm the move is directional and not random noise, the strategy checks for momentum: the close must be above/below the close of 20 bars ago.
Low volatility zones are filtered out to avoid chop and poor trade entries.
Upon entry, a dynamic stop-loss is set at 1x ATR, while take-profit is set at 2x ATR, offering a 2:1 reward-to-risk ratio.
If the position remains open for more than 42 bars, it is forcefully closed, even if targets are not hit. This prevents long-lasting, stagnant trades.
Key Features
✅ Volatility-based breakout detection
✅ Momentum confirmation filter
✅ Dynamic stop-loss and take-profit based on real-time ATR
✅ Time-based forced exit (42 bars max holding)
✅ Low-volatility environment filter
✅ Realistic settings with 0.05% commission and slippage included
Parameters Explanation
ATR Length (14): Captures recent volatility over ~2 weeks (14 candles).
Momentum Lookback (20): Ensures meaningful price move confirmation.
Volatility Expansion Threshold (0.5x): Strategy activates only when ATR is at least 50% above its average.
Minimum ATR Filter (1.0x): Avoids entries in tight, compressed market ranges.
Max Holding (42 bars): Trades are closed after 42 bars if no exit signal is triggered.
Risk-Reward (2.0x): Aiming for 2x ATR as profit for every 1x ATR risk.
Originality Note
While volatility and momentum have been used separately in many strategies, this script combines both with a time-based dynamic exit system. This exit rule, combined with an ATR-based filter to exclude low-activity periods, gives the system a practical edge in real-world use. It avoids classic rehashes and integrates real trading constraints for better applicability.
Disclaimer
This is a research-focused trading strategy meant for backtesting and educational purposes. Always use proper risk management and perform due diligence before applying to real funds.
Multi BB (3/4/5 SD) - Separate AlertsThis script can be used to gauge momentum in the stocks and can be used on any instrument. Alerts can be put when Price crosses Bollinger Bands SD3 or 4 or 5 on either the Upper or Lower side.
This script is useful to understand the momentum and accordingly a trade can be taken on either the long side (when crossing the Upper Side) or Short Side (when crossing the Lower Side) with proper Stop Loss.
Dual Pwma Trends [ZORO_47]Key Features:
Dual PWMA System: Combines a fast and slow Parabolic Weighted Moving Average to identify momentum shifts and trend changes with precision.
Dynamic Color Coding: The indicator lines change color to reflect market conditions—green for bullish crossovers (potential buy signals) and red for bearish crossunders (potential sell signals), making it easy to interpret at a glance.
Customizable Parameters: Adjust the fast and slow PWMA lengths, power settings, and source data to tailor the indicator to your trading style and timeframe.
Clean Visualization: Plotted with bold, clear lines (3px width) for optimal visibility on any chart, ensuring you never miss a signal.
How It Works:
The indicator calculates two PWMAs using the imported ZOROLIBRARY by ZORO_47. When the fast PWMA crosses above the slow PWMA, both lines turn green, signaling a potential bullish trend. Conversely, when the fast PWMA crosses below the slow PWMA, the lines turn red, indicating a potential bearish trend. The color persists until the next crossover or crossunder, providing a seamless visual cue for trend direction.
Ideal For:
Trend Traders: Identify trend reversals and continuations with clear crossover signals.
Swing Traders: Use on higher timeframes to capture significant price moves.
Day Traders: Fine-tune settings for faster signals on intraday charts.
Settings:
Fast Length/Power: Control the sensitivity of the fast PWMA (default: 12/2).
Slow Length/Power: Adjust the smoother, slower PWMA (default: 21/1).
Source: Choose your preferred data input (default: close price).
EMA Pullback Speed Strategy 📌 **Overview**
The **EMA Pullback Speed Strategy** is a trend-following approach that combines **price momentum** and **Exponential Moving Averages (EMA)**.
It aims to identify high-probability entry points during brief pullbacks within ongoing uptrends or downtrends.
The strategy evaluates **speed of price movement**, **relative position to dynamic EMA**, and **candlestick patterns** to determine ideal timing for entries.
One of the key concepts is checking whether the price has **“not pulled back too much”**, helping focus only on situations where the trend is likely to continue.
⚠️ This strategy is designed for educational and research purposes only. It does not guarantee future profits.
🧭 **Purpose**
This strategy addresses the common issue of **"jumping in too late during trends and taking unnecessary losses."**
By waiting for a healthy pullback and confirming signs of **trend resumption**, traders can enter with greater confidence and reduce false entries.
🎯 **Strategy Objectives**
* Enter in the direction of the prevailing trend to increase win rate
* Filter out false signals using pullback depth, speed, and candlestick confirmations
* Predefine Take-Profit (TP) and Stop-Loss (SL) levels for safer, rule-based trading
✨ **Key Features**
* **Dynamic EMA**: Reacts faster when price moves quickly, slower when market is calm – adapting to current momentum
* **Pullback Filter**: Avoids trades when price pulls back too far (e.g., more than 5%), indicating a trend may be weakening
* **Speed Check**: Measures how strongly the price returns to the trend using candlestick body speed (open-to-close range in ticks)
📊 **Trading Rules**
**■ Long Entry Conditions:**
* Current price is above the dynamic EMA (indicating uptrend)
* Price has pulled back toward the EMA (a "buy the dip" situation)
* Pullback depth is within the threshold (not excessive)
* Candlesticks show consecutive bullish closes and break the previous high
* Price speed is strong (positive movement with momentum)
**■ Short Entry Conditions:**
* Current price is below the dynamic EMA (indicating downtrend)
* Price has pulled back up toward the EMA (a "sell the rally" setup)
* Pullback is within range (not too deep)
* Candlesticks show consecutive bearish closes and break the previous low
* Price speed is negative (downward momentum confirmed)
**■ Exit Conditions (TP/SL):**
* **Take-Profit (TP):** Fixed 1.5% target above/below entry price
* **Stop-Loss (SL):** Based on recent price volatility, calculated using ATR × 4
💰 **Risk Management Parameters**
* Symbol & Timeframe: BTCUSD on 1-hour chart (H1)
* Test Capital: \$3000 (simulated account)
* Commission: 0.02%
* Slippage: 2 ticks (minimal execution lag)
* Max risk per trade: 5% of account balance
* Backtest Period: Aug 30, 2023 – May 9, 2025
* Profit Factor (PF): 1.965 (Net profit ÷ Net loss, including spreads & fees)
⚙️ **Trading Parameters & Indicator Settings**
* Maximum EMA Length: 50
* Accelerator Multiplier: 3.0
* Pullback Threshold: 5.0%
* ATR Period: 14
* ATR Multiplier (SL distance): 4.0
* Fixed TP: 1.5%
* Short-term EMA: 21
* Long-term EMA: 50
* Long Speed Threshold: ≥ 1000.0 (ticks)
* Short Speed Threshold: ≤ -1000.0 (ticks)
⚠️Adjustments are based on BTCUSD.
⚠️Forex and other currency pairs require separate adjustments.
🔧 **Strategy Improvements & Uniqueness**
Unlike basic moving average crossovers or RSI triggers, this strategy emphasizes **"momentum-supported pullbacks"**.
By combining dynamic EMA, speed checks, and candlestick signals, it captures trades **as if surfing the wave of a trend.**
Its built-in filters help **avoid overextended pullbacks**, which often signal the trend is ending – making it more robust than traditional trend-following systems.
✅ **Summary**
The **EMA Pullback Speed Strategy** is easy to understand, rule-based, and highly reproducible – ideal for both beginners and intermediate traders.
Because it shows **clear visual entry/exit points** on the chart, it’s also a great tool for practicing discretionary trading decisions.
⚠️ Past performance is not a guarantee of future results.
Always respect your Stop-Loss levels and manage your position size according to your risk tolerance.
Fibo Normalized RSI & RSI RibbonPlots both standard and Z-score normalized RSI ribbons using Fibonacci-based periods. Supports adjustable normalization, optional 0–100 scaling, and multi-line visualizations for momentum and deviation analysis.
This tool is designed for traders who want to go beyond standard RSI by adding:
Statistical normalization (Z-score)
Multi-period analysis (Fibonacci structure)
Advanced divergence and exhaustion detection
It gives you both classical momentum context and mathematically rigorous deviation insight, making it ideal for:
Swing traders
Quant-inclined discretionary traders
Multi-timeframe analysts
Trend Confirmation
When both RSI and normalized RSI across short and long periods are stacked in the same direction (e.g., above 50 or with high Z-scores), the trend is likely strong.
Disagreement between the two ribbons (e.g., RSI high but normalized RSI flat) may indicate late-stage trend or false strength.
Mean Reversion Trades
Look for normalized RSI values > +2 or < -2 (i.e., ~2 standard deviations).
Cross-check with standard RSI to see if the move aligns with a traditional overbought/oversold level.
Great for fade/reversal setups when Z-score RSI is extreme but classic RSI is just beginning to turn.
Divergence Detection
Compare the slope of RSI vs. normalized RSI over same period:
If RSI is rising but normalized RSI is falling → momentum is fading despite apparent strength.
Excellent for early warnings before reversals.
Multi-Timeframe Confluence
Use short-period ribbons (e.g., 3–13) for tactical entries/exits.
Use long-period ribbons (e.g., 55–233) for macro trend bias.
Alignment across both = high-confidence zone.
Momentum (80) + ATR (14)his indicator combines two essential technical analysis tools in a single panel for enhanced market insight:
🔹 Momentum (80 periods): Measures the difference between the current price and the price 80 bars ago. Displayed as a semi-transparent filled area, it helps to visually identify shifts in price momentum over a longer timeframe.
🔸 ATR (Average True Range, 14 periods): Shown as a fine orange line, the ATR represents average market volatility over 14 periods, highlighting phases of calm or increased price fluctuations.
By viewing both momentum and volatility simultaneously, traders can better assess trend strength and market conditions, improving decision-making across assets such as stocks, forex, and cryptocurrencies.
✅ Suitable for all asset types
✅ Complements other indicators like RSI, MACD, and Bollinger Bands
✅ Categorized under Momentum & Volatility indicators
