3-Minute RSI and EMA Crossover Strategy 3-Minute RSI and EMA Crossover Sell Strategy with Exit Conditions and Re-entry
Oscillators
Elastic Trend OscillatorThe Elastic Trend Oscillator (ETO) is a volatility-adaptive momentum indicator that measures price displacement from a trend baseline while accounting for market volatility conditions. Unlike traditional oscillators that use fixed scaling, ETO dynamically adjusts its sensitivity based on current volatility levels relative to recent market conditions, providing context-aware momentum readings across different market regimes.
What Makes This Indicator Different
Volatility-Adaptive Scaling:
The core innovation of ETO is its dynamic volatility adjustment mechanism. The indicator calculates an ATR percentile rank over a lookback period and uses this to scale the momentum readings. When volatility is elevated, the indicator becomes less sensitive to price moves, recognizing that larger displacements are normal in volatile conditions. Conversely, in low volatility environments, smaller price moves are given more weight. This prevents false signals during volatility expansions and maintains sensitivity during quiet periods.
Low Volatility Compression:
During periods of extremely low volatility, the oscillator naturally compresses toward the midline and exhibits minimal movement. This midline-hugging behavior serves as a visual indicator that the market lacks directional energy and momentum readings are unreliable. Unlike indicators that continue oscillating during quiet periods and potentially generate false signals, ETO's compression around the midline is supposed to identify low-conviction environments where trend-following strategies underperform. When you see the oscillator stuck near 50 with little movement, recognize this as a consolidation phase where ranges dominate and breakout setups may be developing.
Trend Slope Analysis with Dynamic Thresholds:
The indicator monitors both the trend direction (EMA slope) and the rate of slope change. Dynamic thresholds based on ATR identify when trend acceleration is slowing. The oscillator becomes semi-transparent when slope deceleration exceeds the threshold, warning of potential trend exhaustion before actual reversals occur.
Relatively Linear Transformation:
Unlike many oscillators that use non-linear transformations, ETO applies a more linear scaling of the ATR-normalized displacement. This preserves the proportional relationship between price moves and oscillator readings, making divergences and momentum shifts more intuitive to interpret.
How to Use the Indicator
Trend Direction:
Green oscillator = Bullish trend (price above EMA with positive slope)
Red oscillator = Bearish trend (price below EMA with negative slope)
Oscillator compressed near 50 with minimal movement = Low volatility, consolidation phase. These phases often precede volatility expansions and significant directional moves, making them more ideal for monitoring breakout setups rather than taking positions.
Momentum Quality:
Solid color = Strong, accelerating trend
Semi-transparent = Decelerating trend, potential exhaustion, potential consolidation ahead
The transparency change acts as an early warning before actual trend reversals or consolidations.
Trading Signals:
Crossovers: When the oscillator crosses the signal line to the other side of momentum while oversold/overbought, it suggests potential reversals (better in combination with transparency loss).
Overbought/Oversold: Levels above 70 indicate overbought conditions; below 30 indicate oversold. These are not reversal signals themselves but identify extended moves where momentum may be extreme.
Midline: Oscillator above 50 indicates price is above the trend baseline with positive displacement. Below 50 indicates negative displacement.
Divergences: Like with other momentum indicators compare oscillator highs/lows with price highs/lows.
Settings
EMA Length: Controls the trend baseline period. Lower values make the indicator more responsive to short-term price changes; higher values focus on longer-term trends. This directly affects how quickly the oscillator responds to trend changes.
ATR Length: Determines the period for volatility measurement. This affects both the normalization of price displacement and the momentum confirmation filter. Lower values make volatility measurements more reactive; higher values provide smoother volatility assessment.
Oscillator Smoothing: Applies EMA smoothing to the raw oscillator values. A value of 1 shows unsmoothed, more volatile readings. Higher values produce smoother oscillations with less noise but more lag.
Signal Line Length: The EMA period for the signal line. Lower values create more frequent crossovers; higher values generate fewer but potentially more significant crossovers. This acts as a moving average of the oscillator itself.
Slope Change Sensitivity: Multiplier that sets how much slope deceleration triggers the transparency effect. Lower values make the indicator more sensitive to trend exhaustion, showing transparency earlier. Higher values require more pronounced deceleration before visual warning.
Overbought Level: Defines the upper extreme threshold.
Oversold Level: Defines the lower extreme threshold.
Best Practices
Use on any timeframe, but adjust EMA and ATR lengths according to your trading style (shorter for shorter term trades, longer for longer term trading like swing trading)
Combine with price action — the indicator identifies momentum conditions, not specific entry/exit points.
In strongly trending markets, the oscillator may remain in overbought/oversold territory for extended periods—this is normal and indicates persistent momentum rather than imminent reversal.
This indicator does not provide investment or trading advice. All trading decisions should be made based on your own analysis and risk management.
ADX FAST and NOICE FREE DIThis tool is designed to identify trend strength and direction earlier than the traditional ADX/DI system.
Instead of relying on the normal Wilder smoothing, this version applies momentum projection to ADX (Fast ADX)
and then filters all directional movement signals through Hull smoothing to minimize market noise.
The result:
• Trends are detected faster
• Pullbacks are filtered more cleanly
• Sideways or weak structures become easy to avoid
Recommended Usage:
• Look for Fast ADX above the threshold to confirm trend environment
• Use Noise-Free +DI and -DI to confirm trend direction (bullish / bearish dominance)
• Background color highlights only when trend + direction are aligned
This is not a buy/sell signal generator by itself; it is best used as a trend and market condition confirmation layer.
Disclaimer:
This script is provided for educational and informational purposes only.
It does not constitute financial advice or a recommendation to buy or sell any security.
Market conditions vary and past performance does not guarantee future results.
Always perform your own analysis and risk management, and trade responsibly.
Robust Scaled Dema | OquantOverview
The Robust Scaled DEMA indicator is a tool designed for traders seeking to identify potential trend directions in financial markets. It combines the smoothing capabilities of a Double Exponential Moving Average (DEMA) with a robust scaling mechanism to normalize the data, making it more resilient to outliers and extreme price movements. This scaling helps in generating long and short signals based on predefined thresholds, visualized through color-coded plots and bars. The indicator aims to provide a balanced view of market momentum, reducing the impact of noise while highlighting significant shifts in price behavior.
Key Factors/Components
DEMA (Double Exponential Moving Average): Serves as the core smoothing component, reducing lag compared to simple averages by emphasizing recent price action more effectively.
Robust Scaling Mechanism: Utilizes statistical measures like median and interquartile range to normalize the DEMA values, ensuring the indicator is less sensitive to extreme values or price spikes.
Thresholds: User-defined upper and lower levels that trigger long or short signals when the scaled DEMA crosses them.
Visual Elements: Includes plotted lines for the scaled DEMA and thresholds, plus color-coded candlestick bars for intuitive interpretation.
Alerts: Built-in conditions for notifying users of potential entry points for long or short positions.
How It Works
The indicator starts by applying a DEMA to the chosen price source to create a smoothed representation of the market's direction. This smoothed value is then scaled using a robust statistical approach that accounts for the distribution of recent DEMA values, centering it around a median and adjusting for variability to minimize the influence of outliers. The resulting scaled metric is compared against user-set upper and lower thresholds: crossing above the upper suggests a bullish momentum (long signal), while dipping below the lower indicates bearish conditions (short signal). A state variable tracks these conditions to color the chart accordingly, helping traders visualize regime changes. Optional alerts fire on transitions.
For Who Is Best/Recommended Use Cases
This indicator is ideal for traders who employ trend-following or momentum-based strategies and need tools that perform well in non-normal market conditions, such as during high volatility or in assets prone to spikes. Use cases include identifying entry/exit points in trending environments, confirming breakouts, or integrating into multi-indicator systems for added confirmation. Quantitative traders or those backtesting strategies will appreciate its customizable parameters for optimization.
Settings and Default Settings
Source: The price data input for calculations, such as close, open, high, or low. Default: close.
DEMA Length: Controls the period for the DEMA smoothing; shorter values increase responsiveness but may add noise, longer ones provide more lag but smoother signals. Default: 25.
Robust Scaling Length: Defines the lookback period for the scaling statistics; affects how adaptive the normalization is to recent data distributions. Default: 40.
Upper Threshold: The level above which a long signal is triggered; higher values make signals rarer but potentially more reliable. Default: 0.5.
Lower Threshold: The level below which a short signal is triggered; lower values allow for more aggressive bearish detection. Default: 0.
Conclusion
The Robust Scaled DEMA offers an outlier-resistant alternative to traditional moving average indicators, empowering traders to navigate volatile markets. By blending exponential smoothing with statistical robustness, it provides actionable insights into trend shifts while minimizing false positives from extreme events..
⚠️ Disclaimer: This indicator is intended for educational and informational purposes only. Trading/investing involves risk, and past performance does not guarantee future results. Always test and evaluate indicators/strategies before applying them in live markets. Use at your own risk.
MTF Stoch RSI + MACD Summary“MTF Stoch RSI + MACD Summary” is a multi-timeframe momentum and trend analysis indicator designed for TradingView. Its primary function is to consolidate Stochastic RSI and MACD readings from multiple user-defined timeframes—ranging from weekly to intraday—into a compact, color-coded summary table. This allows traders to assess the alignment or divergence of momentum and trend signals across different time horizons within a single chart view, providing an efficient means to identify potential trend continuations or reversals.
The script begins by defining input parameters for both indicators. For the Stochastic RSI, the user can adjust the RSI period, stochastic length, and smoothing factors for K and D lines, while for the MACD, it allows customization of the fast and slow exponential moving average lengths. Additionally, the script offers flexibility through five user-defined timeframes, enabling multi-level signal comparison. Theme and color customization options are also included to enhance visual clarity, allowing users to personalize the display according to preference or chart background.
The computational core of the script calculates the RSI based on a chosen price source (typically the closing price) and applies a stochastic transformation with smoothing to determine momentum extremes—classifying them as overbought, mid-high, mid-low, or oversold depending on their numeric range. The MACD component, computed as the difference between the fast and slow EMAs, is evaluated to determine its state: whether it is crossing upward, crossing downward, above zero, or below zero. These states represent shifts in market momentum and potential trend direction. Both Stochastic RSI and MACD values are retrieved from each selected timeframe using the request.security() function, allowing the indicator to integrate higher and lower timeframe data in real time.
Each indicator reading is then converted into a descriptive label and paired with a specific background color for intuitive visual classification. The script organizes this information into a dynamic table displayed at the top-right corner of the chart. This table consists of three columns—timeframe, Stoch RSI status, and MACD status—and automatically updates with the latest market data on every bar close. Through this tabular format, traders can quickly interpret market conditions without having to switch between multiple charts or apply numerous separate indicators.
Overall, the MTF Stoch RSI + MACD Summary acts as a comprehensive dashboard that integrates momentum and trend indicators across multiple timeframes. By presenting data in a simplified visual layout, it enables traders to make more informed decisions based on the consistency of market signals. This facilitates clearer identification of overbought or oversold conditions, confirmation of trend strength, and early detection of potential reversals, making it a valuable tool for multi-timeframe technical analysis.
HTF MACD Dual Zero Cross + First EMA PullbackThis script aims to get the trader on the right side of the momentum and get better entries by only alerting when price pulls back to the trader's specified EMA.
This script isnt meant to catch tops or bottoms but to trade with the momentum once it starts.
This script will alert whe nthe MACD and signal line both cross the zero line, after that the script waits for price to make a pullback and then alet either a sell or buy. Ive found this works best when you trade with the trend on a higher timeframe.
You can use whatever MACD settings you prefer and really customize this to the asset youre trading.
You can also change whether you get an alert based on a wick touch of the EMA or a candle close.
Zone Tap Counter: Support & Resistance StrengthWhat is this indicator?
This script is designed to help traders objectively monitor the strength and significance of price zones by counting and visualizing how many times price “taps” confirmed support and resistance levels. The indicator leverages swing high/low detection to automatically plot relevant zones and uses price tap frequency as an objective strength metric.
How does it work?
Zone Identification:
The script uses the Pine Script functions ta.pivothigh and ta.pivotlow to detect confirmed swing highs and lows on your chart. Each swing high establishes a resistance zone, and each swing low establishes a support zone.
Only confirmed pivots are used, ensuring all signals are strictly non-repainting.
Tap Counting Logic:
For every candle, the indicator checks whether price touches (comes within a small, user-set tolerance) of any currently tracked support or resistance zone. To avoid counting repeated taps in the same move, the script ensures only unique bar taps are registered.
Each time price taps a zone, a counter for that zone is incremented.
Both the tolerance for taps (percentage-based), and the depth/history of zones tracked are fully adjustable in settings.
Visual Feedback:
Zones with more taps are drawn darker (lower transparency), making it easy to spot the strongest/hardest-tested levels on the chart.
A label on each zone displays the current tap count (e.g., "3x"), giving direct feedback about which support/resistance are most significant in the current view.
Only recent zones (user-configurable) are shown to keep charts clear and useful.
How to use it:
Add the indicator to your TradingView chart.
Set the swing length and tap tolerance in settings to match your market or timeframe (short swing length for scalping, longer swings for bigger structure).
Watch for zones with high tap counts and darker lines: These zones represent areas where price has repeatedly reacted, suggesting they may be important for your trading decisions.
You can adjust the minimum number of taps needed for a zone to be highlighted and the number of zones to display for your preferred visual clarity.
Combine this tool with other analysis for confirmation—tap counts should not be seen as trading signals, but as supporting information.
Originality & Calculation Details:
This script does NOT simply merge or overlay existing indicators. The calculation method is original: it uses swing-based support/resistance and applies unique tap-count logic, designed for objective zone strength visualization.
No repainting logic is present.
All code and visualization methods are documented and transparent.
Disclaimer:
This indicator is for educational and analytical purposes only. It does not predict future price movement, guarantee profits, or recommend specific trades. Always use your own analysis and risk management. See TradingView’s House Rules for more details.
Supertrend Dual-Zone Channel V2**Supertrend Dual-Zone Channel V2**
Advanced Supertrend with Dual-Zone Visualization, Breakout Counter, and Dynamic Labels
A powerful upgrade to the classic Supertrend indicator that displays two distinct zones:
• Bullish Channel (green): Active when price is above the Supertrend line
• Bearish Channel (red): Active when price is below the Supertrend line
Key Features
• Dual-Zone Fill System: Clearly separates bullish and bearish regimes with semi-transparent channel fills for instant trend context.
• Reverse Tracking Lines: Shows the opposite-direction Supertrend band (faint green/red lines) to highlight potential reversal zones.
• Automatic Breakout Counter: Counts consecutive breaks into the opposite tracking band.
- Green labels below bars: Bullish breakouts (price closes above bearish tracking line while in uptrend)
- Red labels above bars: Bearish breakouts (price closes below bullish tracking line while in downtrend)
• Clean Label Management: Uses arrays to store labels with tooltips showing breakout sequence number.
• Mid-Channel Reference: Invisible midline based on (high + low)/2 for internal fill logic (not plotted).
How to Use
• Strong Trend Confirmation: Price staying within its colored channel = healthy trend.
• Pullback Entries: Look for price touching the faint reverse tracking line without breaking it.
• Breakout Signals: Labeled breakouts (1st, 2nd, 3rd...) often precede trend exhaustion or acceleration.
• Works on all timeframes and assets.
Inputs
• Factor (default: 3.0) – Sensitivity of the Supertrend bands
• ATR Period (default: 10) – Lookback period for volatility calculation
Visuals
• Thick green/red line: Current active Supertrend
• Faint opposite-color line: Reverse tracking band
• Light green/red fills: Bullish/Bearish zones
• Numbered labels: Sequential breakout counter
Fully optimized with max_lines_count=500 and max_labels_count=500.
Clean, lightweight, and highly readable on chart.
Version 2 – Improved labeling, better zone separation, and smarter counter reset on trend change.
Perfect for trend-following, pullback trading, and spotting potential reversals.
Happy trading!
====================================================================================
**Supertrend 双区通道 V2**
高级超级趋势指标：双色通道可视化 + 突破计数器 + 动态标签
经典 Supertrend 的强力升级版，通过 **双区通道** 直观区分多空状态：
• 多头通道（绿色）：价格位于 Supertrend 上方时激活
• 空头通道（红色）：价格位于 Supertrend 下方时激活
### 核心功能
• 双区填充系统：半透明通道填色，一眼分辨当前多空主导区域
• 反向轨道线：显示对立方向的 Supertrend 带（淡绿/淡红虚线），清晰标记潜在反转区域
• 自动突破计数器：统计价格连续突破反向轨道的行为
- 绿色标签（K线下方）：多头突破（多头趋势中收盘突破空头轨道）
- 红色标签（K线上方）：空头突破（空头趋势中收盘跌破多头轨道）
• 智能标签管理：使用数组存储标签，带工具提示显示突破序号
• 通道中轴：基于 (high + low)/2 的隐形中线，仅用于填充逻辑（不显示）
### 使用方法
• 趋势健康：价格始终停留在同色通道内 = 强势趋势
• 回调入场：价格触及淡色反向轨道但未突破 = 优质回调机会
• 突破信号：连续编号突破（第1次、第2次…），根据不同品种设定自定义的突破次数，btc通常五次突破后才会衰竭。
• 适用于所有周期、所有品种
### 输入参数
• 倍数（默认 3.0）：控制 Supertrend 带的灵敏度
• ATR周期（默认 10）：波动率计算周期
### 视觉元素
• 粗实线（绿/红）：当前生效的 Supertrend 主线
• 细虚线（淡绿/淡红）：反向轨道线
• 浅色填充：多头/空头通道区域
• 编号标签：突破序号（从0开始计数）
**V2 版升级**：优化标签逻辑、更好区域分隔、趋势切换时自动归零计数器。
祝交易顺利！
Atilla Triple Confirm PRO v7 — MACD + RSI + STC + Volume Power Atilla Triple Confirm PRO v7 is an advanced trend and momentum analysis system that uses a triple technical confirmation + volume filter.
Components:
MACD: Identifies trend reversals and momentum direction.
RSI: Measures overbought/oversold zones and momentum.
STC (Schaff Trend Cycle): Indicates price momentum and trend maturity.
VolFeatures:
"LONG READY / SHORT READY / STOP" alert system
Confirmation Strength (%): Dynamically calculates how many indicators are in the same direction
Divergence Detector: Displays price differences with the RSI
Center-right panel: Small, simple, and mobile-friendly info box
Automatic Alert Support: Sends notifications when LONG / SHORT are ready
Heikin Ashi & Regular Candlestick Compatible
⚙️ Usage Recommendation:
When "LONG READY" occurs, it is recommended that the price be supported by trend confirmation from the 50 EMA or STC.
When "SHORT READY" occurs, an RSI crossing below 50 is considered a strong signal.
Trading confidence is high when Confirmation Strength is 75% or above.
🧭 Fully compatible with Atilla STC Dynamic TP Systems.ume Filter: Confirms breakouts supported by increased volume.
Robust Scaled HMA | OquantOverview
The Robust Scaled HMA indicator is a trend-following tool, leveraging a Hull Moving Average (HMA) with robust statistical scaling to generate buy and sell signals. It helps traders identify potential entry and exit points for long and short positions while providing comprehensive performance metrics to evaluate the strategy's effectiveness compared to a simple buy-and-hold approach(remember past performance doesn’t guarantee future results). By incorporating outlier-resistant scaling, it aims to deliver smoother, more adaptive signals in volatile markets. The indicator also visualizes allocation signals, equity curves, and key metrics in intuitive tables, empowering users to make data-driven decisions without relying on overly complex optimizations.
Key Factors/Components
Hull Moving Average (HMA): A fast and smooth moving average that reduces lag compared to traditional averages, serving as the core trend detector.
Robust Scaling Mechanism: Uses statistical measures like median and interquartile range (IQR) to normalize the HMA, making it resistant to extreme price outliers and potentially improving signal reliability in noisy markets.
Threshold-Based Signals: Customizable upper and lower thresholds to trigger long (bullish) or short (bearish) allocations, with options to enable/disable longs or shorts for strategy customization.
Performance Metrics Suite: Calculates performance metrics including Maximum Drawdown (Max DD), Intra-Trade Max DD, Sharpe Ratio, Sortino Ratio, Omega Ratio, Percent Profitable Trades, Profit Factor, Total Trades, and Net Profit.
Equity Curve and Visualization: Optional plotting of the strategy's equity curve, along with color-coded bars and candles for visual signal confirmation.
Comparative Analysis: Includes a buy-and-hold metrics table for benchmarking the indicator's performance against passive holding(remember past performance doesn’t guarantee future results).
Alert Conditions: Built-in alerts for bullish and bearish signals to notify users of potential trade opportunities.
How It Works
The indicator starts by applying a HMA to the selected price source to capture the underlying trend with minimal lag. This average is then scaled using robust statistical methods that focus on the central tendency and spread of recent data, filtering out the impact of extreme price swings for a more stable output. Signals are generated when the scaled value crosses predefined thresholds: exceeding the upper threshold indicates a potential long position (bullish momentum), while dropping below the lower threshold suggests a short position (bearish momentum). The system simulates a simple strategy by allocating to long, short, or cash based on user preferences, tracking returns over time from a specified start date. It then computes a range of performance metrics by analyzing the equity curve, drawdowns, and trade outcomes, presenting them alongside buy-and-hold equivalents for easy comparison(remember past performance doesn’t guarantee future results). This logic promotes trend-following while emphasizing risk management, without overcomplicating the process.
For Who Is Best/Recommended Use Cases
This indicator is best suited for traders focused on trend-following strategies in markets prone to volatility or outliers. Recommended use cases include: Trend Identification: As a filter for entering/exiting positions. Strategy Evaluation: Quickly assessing signal quality through integrated metrics without complex backtesting setups(Remember past performance doesn’t guarantee future results). Customization: Adjusting for bullish biases by disabling shorts, or vice versa, in one-sided markets.
Settings and Default Settings
The indicator offers flexible inputs grouped for ease of use:
Start Date: Defines the backtesting period (default: January 1, 2018) to ensure metrics are calculated from a relevant historical point.
Source: The price data input for calculations (default: close price).
HMA Length: Period for the Hull Moving Average (default: 25) – shorter values increase sensitivity, longer ones smooth out noise.
Robust Scaling Length: Window for statistical scaling (default: 40)
Upper Threshold: Level for triggering long signals (default: 0.6) – higher values make signals more conservative.
Lower Threshold: Level for triggering short signals (default: -0.2) – lower (more negative) values require stronger bearish confirmation.
Allow Long Trades: Enables long positions (default: true); if false, longs default to cash.
Allow Short Trades: Enables short positions (default: false); if false, shorts default to cash.
Show Indicator Metrics Table: Displays indicator performance table (default: true).
Show Buy&Hold Table: Displays benchmark metrics table (default: true).
Plot Equity Curve: Visualizes the strategy's cumulative returns (default: false).
Conclusion
The Robust Scaled HMA offers a fresh take on trend detection by prioritizing robustness through IQR scaling, making it a valuable addition for traders aiming to navigate noisy markets with metrics-backed insights(Remember past performance doesn’t guarantee future results).
⚠️ Disclaimer: This indicator is intended for educational and informational purposes only. Trading/investing involves risk, and past performance does not guarantee future results. Always test and evaluate indicators/strategies before applying them in live markets. Use at your own risk.
oppliger trendfollow📈 Strategy Overview: SMA25 vs SMA200 – Gap Momentum Trend Strategy
This strategy is a trend-following system designed to capture strong, accelerating uptrends while exiting early when momentum begins to fade.
It uses the relationship between two moving averages — the 25-period SMA and the 200-period SMA — and monitors the gap (distance) between them as a measure of trend strength.
🟢 Entry Conditions (Go Long)
A long position is opened only when all of the following conditions are true:
Uptrend confirmation:
The 25-period SMA is above the 200-period SMA
→ confirms a clear upward trend.
Price momentum:
The closing price is above the SMA25 line,
→ showing that the market currently trades with bullish momentum.
Trend acceleration:
The gap between SMA25 and SMA200 has been increasing for the last 5 consecutive bars.
→ mathematically:
gap_t > gap_(t-1) > gap_(t-2) > gap_(t-3) > gap_(t-4)
→ indicates that the short-term trend is pulling away from the long-term trend and accelerating upward.
✅ When all three conditions are met, the strategy enters a long trade at the close of the current candle.
🔴 Exit Conditions (Close Long)
The position is closed when the uptrend starts to lose strength:
Trend deceleration:
The gap between SMA25 and SMA200 has been shrinking for 3 consecutive bars.
→ mathematically:
gap_t < gap_(t-1) < gap_(t-2)
→ signals that the short-term moving average is converging toward the long-term average, showing weakening momentum.
🚪 When this condition is met, the strategy closes the position at market price.
⚙️ Summary of Logic
Phase Condition Meaning
Entry SMA25 > SMA200 Long-term trend is up
Entry Close > SMA25 Short-term momentum is bullish
Entry Gap rising 5 bars Trend is accelerating
Exit Gap falling 3 bars Trend is weakening
💡 Interpretation
This strategy aims to:
Enter only when a strong, accelerating uptrend is confirmed.
Stay in the trade as long as momentum remains intact.
Exit early when the market starts losing strength, before the trend fully reverses.
It works best in trending markets and helps avoid false entries during sideways or weak phases.
Twiggs Go Money Flow Enhanced [KingThies]█ OVERVIEW
The Twiggs Money Flow (TMF) is a volume-weighted momentum oscillator that
measures buying and sellistng pressure by analyzing where price closes within
each bar's true range. It's an enhanced version of Chaikin Money Flow that
uses Wilder's smoothing method, providing better trend persistence and
smoother signals.
The indicator oscillates around a zero listne:
Values above zero indicate accumulation (buying pressure)
Values below zero indicate distribution (sellistng pressure)
TMF was developed by Colistn Twiggs as an improvement over traditional money
flow indicators by incorporating true range calculations and Wilder's
exponential moving average.
█ CONCEPTS
True Range Boundaries
TMF calculates a modified true range for each bar by comparing the current
bar's high and low with the previous close:
True Range High = maximum of (previous close, current high)
True Range Low = minimum of (previous close, current low)
This accounts for overnight gaps and ensures price continuity between bars.
Average Daily Value (ADV)
The ADV represents the portion of volume attributable to buying versus sellistng:
ADV = Volume × ((Close - TR Low) - (TR High - Close)) / True Range
When price closes near the high of the true range, ADV is positive and large.
When price closes near the low, ADV is negative and large.
A close in the middle produces values near zero.
Wilder's Moving Average
Unlistke simple moving averages, Wilder's smoothing method gives more weight
to recent values while maintaining memory of historical data:
WMA = (Previous WMA × (Period - 1) + Current Value) / Period
This creates smoother trends that are less prone to whipsaws than standard
moving averages.
Final Calculation
TMF = Wilder's MA(ADV, Period) / Wilder's MA(Volume, Period)
By dividing smoothed ADV by smoothed volume, TMF normalistzes the reading and
makes it comparable across different securities and timeframes.
█ HOW TO USE
Zero listne Crossovers
The most straightforward trading signals:
A cross above zero suggests buyers are gaining control.
Consider this a bullistsh signal, especially when confirmed by price action.
A cross below zero suggests sellers are gaining control.
Consider this a bearish signal.
The longer TMF remains above or below zero, the stronger the trend.
Extreme Values
Strong positive or negative readings indicate intense buying or sellistng pressure:
Sustained high positive values (above +0.4) suggest strong accumulation
but may also indicate overbought conditions.
Sustained low negative values (below -0.4) suggest strong distribution
but may also indicate oversold conditions.
These extremes work best when used in conjunction with price levels and
support/resistance zones.
Divergences
Divergences between price and TMF often signal potential reversals:
Bearish divergence: Price makes a higher high but TMF makes a
lower high — suggests buying pressure is weakening despite rising prices.
Bullistsh divergence: Price makes a lower low but TMF makes a
higher low — suggests sellistng pressure is weakening despite fallistng prices.
Trend Confirmation
Use TMF to confirm the strength of existing trends:
In an uptrend, TMF should remain mostly positive with occasional dips below zero.
In a downtrend, TMF should remain mostly negative with occasional rises above zero.
If TMF contradicts the price trend, consider the trend weak or potentially ending.
█ FEATURES
Period (default: 21)
The lookback length for Wilder's moving average calculation:
Shorter periods (10–15) make TMF more responsive to recent changes but
increase noise and false signals.
Longer periods (30–50) create smoother readings but lag price action more
significantly.
The default 21-period setting balances responsiveness with relistabilistty.
Consider adjusting the period based on your trading timeframe and the
volatilistty of the security you're analyzing.
█ LIMITATIONS
TMF is a lagging indicator due to its smoothing method. Signals may occur
after optimal entry or exit points.
In low-volume or illistquid markets, TMF can produce erratic readings that
may not reflect true buying or sellistng pressure.
Ranging or choppy markets often generate frequent zero-listne crosses that
can lead to whipsaws.
listke all volume-based indicators, TMF's relistabilistty depends on accurate
volume data.
For securities with unrelistable volume reporting, consider using
price-based momentum indicators instead.
█ NOTES
This indicator uses area-style plotting in the original version to visualistze
the magnitude of buying and sellistng pressure. The filled area makes it easy
to see at a glance whether the market is in accumulation or distribution mode.
TMF works on any timeframe but tends to be most relistable on daily charts
where volume data is most accurate and meaningful.
█ CREDITS
Original indicator developed by
LazyBear .
Based on the Twiggs Money Flow concept from Incredible Charts:
Incredible Charts – Twiggs Money Flow .
Atilla STC Dynamic TP PRO v3 — Fibo & KlasikAtilla STC Dynamic TP PRO v3 — Fibo and Classic
This indicator automatically calculates and charts both Fibonacci-based target TPs (TPs) and ATR dynamic distance-based classic TPs.
Optimized for short, medium, and long-term trading options.
RSI MTF Table - 12 Pairs (1,5,15)
The relative strength index measures the speed and magnitude of an asset's recent price changes. Therefore, it is considered a momentum indicator in technical analysis. Essentially, the RSI is the ratio of the days an asset's value increases to decreases over a given period.
Generally speaking, if the RSI is around 50, we do not expect strong movements. RSI above 65 or below 35 are areas we expect. In this context, this chart and the general momentum in 1-5-15 minutes allow us to quickly determine the parity we will trade. It is useful for intraday trading and scalping.
Reddington Trading Bot Adaptive Signals# Reddington Trading Bot Adaptive Signals — mashup disclosure & user guide
## What it is
**Reddington Trading Bot Adaptive Signals** is a **manual trading** overlay that aggregates multiple entry logics (Supertrend, Bollinger, MACD, Counter-Trend, Scalp) behind a single, adaptive filter stack (EMA trend, ADX strength, ATR regime, volume, RSI band, sessions, candle confirmation).
When a setup passes all gates, the script **marks the bar** with a label (e.g., `ST Long ####`) and plots **Entry / SL / TP / Half-TP** reference lines for discretionary execution.
> This is an **indicator**, not an autostrategy. It does not place orders or manage positions.
---
## Mashup disclosure — what’s combined and why
This script is a **mashup** designed to reduce false positives by requiring **confluence** across trend, momentum, volatility, and liquidity:
* **Trend filter (EMAs)** — `ema_short > ema_long` for longs and vice versa for shorts.
*Why:* prevents fighting the dominant direction.
* **Supertrend direction** — uses `ta.supertrend()` to pick continuation states.
*Why:* captures impulse while controlling whipsaw.
* **Bollinger context** — upper/lower band interaction for breakout/overshoot logic.
*Why:* detects expansion and extreme deviations.
* **MACD cross (12/26/9)** — confirms momentum turns with `ta.macd`.
*Why:* times transitions into continuation.
* **RSI band** — between configurable overbought/oversold levels.
*Why:* avoids chasing exhaustion.
* **ADX strength (manual DI+/DI− → DX → RMA)** — trend quality gate.
*Why:* filters out chop when trend quality is weak.
* **ATR regime window** — ATR between low/high multiples of its baseline.
*Why:* trades when volatility is “tradable”, not too thin or too wild.
* **Volume filter** — volume ≥ SMA(volume, N).
*Why:* favors liquid conditions and cleaner ticks.
* **Session gate (Asia/EU/US)** — run only in chosen UTC windows.
*Why:* aligns with hours of depth, fewer fake breaks.
* **Candle confirmation** — simple **bar-over-bar**/**bar-under-bar** check.
*Why:* a last safety check to avoid immediate reversals.
The **strength** of the mashup is that each module covers a blind spot of the others, so a signal only prints when *trend + momentum + volatility + liquidity* line up.
---
## Non-repaint & timing notes
* The script **does not** use `request.security()`; all logic is computed on the active chart TF with standard Pine series semantics.
* Conditions can evolve **intra-bar**. For conservative usage, **confirm on bar close** before executing.
* Plotted levels (Entry/SL/TP/Half-TP) are reference guides; fills depend on your execution and venue slippage.
---
## Inputs (concise)
* **Supertrend multiplier**; **ADX threshold**; ATR low/high multiples; **RSI overbought/oversold**.
* **Sessions**: enable/disable Asia, Europe, America (UTC).
* Internal periods are **auto-scaled** from a 300-sec base via `timeframe.in_seconds()`, adapting the signal windows to your chart TF.
---
## Entry families (built-in)
* **ST (Supertrend continuation)**
Long: ST up + EMA short>long + below BB upper + ADX>th + volume/ATR/RSI ok + candle confirm + session.
Short: symmetric.
* **BB (Bollinger context)**
Long: close > BB upper + quality gates; Short: close < BB lower + quality gates.
* **MACD (momentum cross)**
Cross up/down with quality gates and candle confirm.
* **CT (Counter-trend poke)**
Long: close < BB lower with distance to middle > 1% and RSI<50; Short: mirror.
*Use sparingly; relies on strong quality gates to avoid catching knives.*
* **SC (Scalp EMA5/EMA10 cross)**
With mid-RSI, ADX>20, and all quality gates.
**Position state** is tracked internally (series vars) so that once in a trade, the script monitors **SL**, **Half-TP**, and **TP** hits and prints corresponding labels.
---
## On-chart visuals
* **Entry/SL/TP/Half-TP** lines (cross style), visible **only while a position is tracked**.
* **Bar labels** on entry (` Long/Short ####`), on SL/TP/Half events.
* A small **session/ticker/TF tag** on the last bar.
---
## How to trade it (suggested checklist)
1. **Wait for the label** (e.g., `ST Long …`) and check that all quality filters are green (they are enforced inside the code).
2. Execute **at your discretion** (market/limit); the script’s **Entry** level is the reference (close or your own limit).
3. Place **SL/TP** according to the printed levels; optionally scale at **Half-TP**.
4. Prefer **bar-close confirmation** on faster TFs to reduce intra-bar noise.
5. Respect your own risk rules (position sizing, max daily loss, news filter).
---
## Recommended timeframes & markets
* Designed for **intraday** use (e.g., **5m–15m**) where volume and sessions matter.
* Works on crypto perpetuals/spot and liquid FX/CFD symbols; threshold tuning may be required per venue.
---
## Limitations & tips
* It’s **one** layer of confirmation; don’t force trades in flat liquidity or into major news.
* CT/Scalp entries are more sensitive to noise; if you prefer higher selectivity, raise **ADX threshold** and narrow **ATR window**.
* Because conditions can change **within a bar**, **alerts** are best set to trigger **on bar close** if you add `alertcondition()` hooks (not included in this base).
---
## Disclaimer
This script is for **educational purposes only** and does **not** constitute financial advice, investment recommendation, solicitation, or an offer to buy/sell any instrument. Trading involves risk; past results do not guarantee future performance. You are solely responsible for your trading decisions and outcomes.
Multi-Timeframe RSI + MA - Santosh - BangaloreThis script has a combined 5 and 15 min RSI's together in one indicator. Created using AI.
EMA + RSI Autotrade Webhook - VarunOverview
The EMA + RSI Autotrade Webhook is a powerful trend-following indicator designed for automated crypto futures trading. This indicator combines the reliability of Exponential Moving Average (EMA) crossovers with RSI momentum filtering to generate high-probability buy and sell signals optimized for webhook integration with crypto exchanges like Delta Exchange, Binance Futures, and Bybit.Key Features
Simple & Effective: Uses proven EMA 9/21 crossover strategy
RSI Momentum Filter: Eliminates low-probability trades in ranging markets
Webhook Ready: Two clean alerts (LONG Entry, SHORT Entry) for seamless automation
Exchange Compatible: Works with Delta Exchange, 3Commas, Alertatron, and other webhook platforms
Zero Lag Signals: Real-time alerts on crossover confirmation
Visual Clarity: Clean chart markers for easy signal identification
How It Works
Entry Signals:
LONG Entry: Triggers when EMA 9 crosses above EMA 21 AND RSI is above 52 (bullish momentum confirmed)
SHORT Entry: Triggers when EMA 9 crosses under EMA 21 AND RSI is below 48 (bearish momentum confirmed)
Technical Components:
Fast EMA: 9-period (tracks short-term price action)
Slow EMA: 21-period (identifies primary trend)
RSI: 14-period (confirms momentum strength)
RSI Long Threshold: 52 (filters weak bullish signals)
RSI Short Threshold: 48 (filters weak bearish signals)
Best Use Cases
Crypto Futures Trading: Bitcoin, Ethereum, Altcoin perpetual contracts
Automated Trading Bots: Integration with Delta Exchange webhooks, TradingView alerts
Timeframes: Optimized for 15-minute charts (works on 5min-1H)
Markets: Trending crypto markets with clear directional moves
Risk Management: Best used with 1-2% stop loss per trade (managed externally)
Webhook Automation Setup
Add indicator to your TradingView chart
Create alerts for "LONG Entry" and "SHORT Entry"
Configure webhook URL from your exchange (Delta Exchange, Binance, etc.)
Use alert message: Entry LONG {{ticker}} @ {{close}} or Entry SHORT {{ticker}} @ {{close}}
Exchange automatically reverses positions on opposite signals
Advantages
✅ No manual trading required - fully automated
✅ Eliminates emotional trading decisions
✅ Catches trending moves early with EMA crossovers
✅ RSI filter reduces whipsaws in choppy markets
✅ Works 24/7 without monitoring
✅ Simple two-alert system (easy to manage)
✅ Compatible with multiple exchanges via webhooksStrategy Philosophy
This indicator follows a trend-following with momentum confirmation approach. By waiting for both EMA crossover AND RSI confirmation, it ensures you're entering trades with genuine momentum behind them, not just random price noise. The tight RSI thresholds (52/48) keep you aligned with the prevailing trend.Recommended Settings
Timeframe: 15-minute (primary), 5-minute (scalping), 1-hour (swing)
Markets: BTC/USDT, ETH/USDT, high-liquidity altcoin perpetuals
Position Sizing: 100% capital per signal (exchange manages reversals)
Stop Loss: 2% (managed via exchange or external bot)
Leverage: 1-2x for conservative approach, up to 5x for aggressive
Important Notes
⚠️ This indicator generates entry signals only - position reversals are handled automatically by your exchange
⚠️ Always backtest on historical data before live trading
⚠️ Use proper risk management and position sizing
⚠️ Best performance in trending markets; may generate false signals in tight ranges
⚠️ Requires TradingView Premium or higher for webhook functionalityTags
cryptocurrency futures automated-trading ema-crossover rsi webhook delta-exchange tradingview-alerts trend-following momentum bitcoin ethereum crypto-bot algo-trading 15-minute-strategy
GIBBS911-10 - ScalpMaster Dual RSI PRO v5 - Timeframe: 3M (better signal-to-noise ratio) or 5M if you want fewer trades.
LONG entry: RSI 24 crosses 50 upwards RSI 5 smooth 14 already > 50 .
Price ABOVE EMA 21 Volume > 1.8x average 20 periods → Market entry, SL below the last low (-0.4% max)
Exit: RSI 5 smooth 14 breaks 50 down → output 70% position TP remaining at +1.8% or trail stop on EMA 9 → Average ratio 1:2.7
ANTI-LOSS Filters: Never during news (red on ForexFactory)
Only if ATR(14) > average → volatile market Max 3 trades/hour, otherwise you burn out
Ichimoku_RSI_MACD_CleanIchimoku + RSI + MACD. A combination of three indicators. The important thing is that they have a BUY or SELL alert, so it makes it easy to understand the numbers.
Ichimoku_RSI_MACD_CleanIchimoku + RSI + MACD indicator. It combines these three indicators. It tells whether the trend is bullish or bearish. Multi-timeframe.
MACD + StochasticMACD + Stochastic 14 Scenarios - Complete Signal Analysis
Combines MACD and Stochastic Oscillator to identify 14 different market scenarios based on crossover timing and indicator positioning.
🎯 Signal Strength Classification:
• STRONG (⭐⭐⭐⭐⭐): Both indicators cross together - highest confidence
• MODERATE (⭐⭐⭐⭐): One crosses while other confirms - good confidence
• WEAK (⭐⭐): Conflicting signals - low confidence
📊 Visual Features:
✓ Color-coded shapes on chart (triangles, circles, X marks)
✓ Scenario labels (1-16, excluding 12 & 14)
✓ Real-time info table showing current status
✓ Customizable signal display (show/hide by strength)
✓ Built-in alerts for all signal types
Perfect for swing traders and position traders looking for high-probability entries with dual indicator confirmation. Use on daily
timeframe for best results.
Includes toggleable display options for strong, moderate, and weak signals.
