Ultimate MA & PSAR [TARUN]Overview
This indicator combines a customizable Moving Average (MA) and Parabolic SAR (PSAR) to generate precise long and short trade signals. A dashboard displays real-time trade conditions, including signal direction, entry price, stop loss, and PnL tracking.
Key Features
✅ Customizable MA Type & Period – Choose between SMA or EMA with adjustable length.
✅ Adaptive PSAR Settings – Modify start, increment, and max step values to fine-tune stop levels.
✅ Trade Signal Logic – Identifies potential buy (long) and sell (short) opportunities based on:
Price action relative to MA
MA trend direction (rising or falling)
PSAR confirmation
✅ Dynamic Stop Loss Calculation – Uses lowest low/highest high over a specified period for stop loss placement.
✅ Trade State & Reversal Handling – Manages active trades, pending signals, and stop loss exits dynamically.
✅ PnL & Dashboard Table – Displays real-time signal status, entry price, stop loss, and profit/loss (PnL) in an easy-to-read format.
How It Works
1.Buy (Long) Condition:
MA is rising
Price is above the MA
PSAR is below price
2.Sell (Short) Condition:
MA is falling
Price is below the MA
PSAR is above price
3.Stop Loss Handling:
For long trades → stop loss is set at the lowest low of the last X candles
For short trades → stop loss is set at the highest high of the last X candles
4.Trade Execution & PnL Calculation:
If a valid long/short setup is detected, a pending signal is placed.
On the next bullish (for long) or bearish (for short) candle, the trade is confirmed.
Real-time PnL updates help track trade performance.
Customization Options
🔹 Moving Average: SMA or EMA, adjustable period
🔹 PSAR Settings: Start, Increment, Maximum step values
🔹 Stop Loss Lookback: Choose how many candles to consider for stop loss placement
🔹 Dashboard Positioning: Select preferred display location (top/bottom, left/right)
🔹 Trade Signal Selection: Enable/Disable Long and Short signals individually
How to Use
Add the indicator to your chart.
Customize the MA & PSAR settings according to your trading strategy.
Follow the dashboard signals for trade setups.
Use stop loss levels to manage risk effectively.
Disclaimer
⚠️ This indicator is for educational purposes only and does not constitute financial advice. Always perform proper risk management and backtesting before using it in live trading.
Médias Móveis
superTrend ve kama SezersuperTrend everget and Kama Hpotter indicator combination .
Adjust colors . short Long State Filling
QT KAMAUse a longer-term KAMA to define the bigger trend and a shorter-term KAMA for trading signals. For example, KAMA (10,5,30) could be used as a trend filter and be deemed bullish when rising. Once bullish, chartists could then look for bullish crosses when price moves above KAMA (10,2,30) and vice-versa.
KAMAKaufman's Adaptive Moving Average (KAMA)
A unique moving average that accounts for volatility and automatically adjusts to price behavior.
What Is Kaufman's Adaptive Moving Average?
Developed by Perry Kaufman, Kaufman's Adaptive Moving Average (KAMA) is a moving average designed to account for market noise or volatility. KAMA will closely follow prices when the price swings are relatively small, and the noise is low. KAMA will adjust when the price swings widen and follow prices from a greater distance. This trend-following indicator can identify the overall trend, time turning points and filter price movements.
Interpreting KAMA
KAMA is like any other trend-following indicator, such as a moving average and can look for price crosses, directional changes and filtered signals.
First, a cross above or below KAMA indicates directional changes in prices. As with any moving average, a simple crossover system will generate lots of signals and lots of whipsaws. One can reduce whipsaws by applying a price or time filter to the crossovers. One might require price to hold the cross for a set number of days or require the cross to exceed KAMA by a set percentage.
source: chartschool.stockcharts.com
2m 20T Trend Reversal SignalsI don't understand this generation. I kissed like 5 fricking girls and one of them have a boyfriend. I swear at one point she was gonna start fricking me. Like what the frick.
Active Leverage System (ALS) |BASIC [AgJ]Active Leverage System (ALS) | Basic by SilverJROM
System for managing Leveraged Tokens
The ALS Indicator is specifically designed to systematically manage Leverage Tokens that combines price midpoint analysis with momentum and trend strength evaluations to spot where a TREND is forming. By leveraging adaptive calculations this indicator tries to filter out market noise to pin-point good place to DELEVERAGE your tokens and indicate as SLOWDOWN on trends as well.
🧩 Key Features
TREND (detection)
➣ Utilizing the computations mentioned above the indicator tries to spot where a trend is starting for form (green background) on the time series
DELEVERAGE (detection)
➣ Deleverage are good points on the trade to start reducing leverage as this is the point where the price momentum is starting to drop (blue background)
SLOWDOWN (detection)
➣ If you have already reduced leverage, slowdowns are good points to start DCA-out of your positions (yellow background)
🔵 Usage
LEVERAGE MANAGEMENT : when a trend is forming it can reinforce your decision to increase/start leverage trading
RISK MANAGEMENT : the indicator provides good points where to manage/reduce risks by indicating points where it would be a good idea to reduce leverage or reduce positions on the trade
Active Leverage System |Basic is a specific tool to help in managing leverage tokens. This is a basic (free) version, if you like this one and appreciate and would like to support my work, look-out for the PRO (by invite) version of this indicator.
Trend Strategy + Impulse FilterThis is a Trend Strategy + Impulse Filter designed for trading in a dynamic market using both Simple Moving Average (SMA) and MACD indicators for trend and momentum analysis. The strategy includes risk management features like Stop Loss, Take Profit, and Trailing Stop to secure gains and limit losses. Additionally, it uses a Breakout Filter for confirmation, ensuring trades are taken only when the price breaks out from a specified range.
Key Features:
Trend Filter: Enter long when the price is above the SMA and MACD line crosses above the signal line. Enter short when the price is below the SMA and MACD line crosses below the signal line.
Breakout Filter: Only takes trades if the price breaks the previous high (for long) or low (for short) within a defined lookback period.
Risk Management: Set stop-loss and take-profit levels based on ATR for dynamic risk management.
Trailing Stop: Locks profits as the price moves in favor of the trade.
Position Sizing: Trade size is based on a percentage of the current equity.
Customizable Parameters: All indicators and risk management settings are adjustable to fit individual preferences.
This strategy is suitable for traders looking for a comprehensive approach that combines trend-following, momentum, and breakout filtering with solid risk management.
Ukrainian Description:
Це стратегія Trend + Impulse Filter, розроблена для торгівлі на динамічному ринку, використовуючи індикатори Простого ковзаючого середнього (SMA) та MACD для аналізу тренду та імпульсу. Стратегія включає в себе функції управління ризиками, такі як Stop Loss, Take Profit та Trailing Stop, щоб забезпечити прибутки та обмежити збитки. Крім того, вона використовує Breakout Filter для підтвердження, забезпечуючи виконання угод лише тоді, коли ціна пробиває визначений діапазон.
Основні характеристики:
Фільтр тренду: Вхід у лонг, коли ціна вище SMA, і MACD лінія перетинає сигнальну лінію знизу вгору. Вхід у шорт, коли ціна нижча за SMA, і MACD лінія перетинає сигнальну лінію зверху вниз.
Фільтр пробою: Торгові угоди відкриваються лише в разі пробою попереднього максимуму (для лонга) або мінімуму (для шорта) протягом заданого періоду.
Управління ризиками: Стоп-лосс та тейк-профіт визначаються на основі ATR для динамічного управління ризиками.
Trailing Stop: Фіксує прибутки, коли ціна рухається в бік угоди.
Розмір позиції: Розмір угоди залежить від відсотка від поточного балансу.
Налаштовувані параметри: Усі індикатори та налаштування управління ризиками можна відкоригувати відповідно до індивідуальних уподобань.
Ця стратегія підходить для трейдерів, які шукають комплексний підхід, що поєднує слідкування за трендом, імпульсом та фільтрацією пробоїв із надійним управлінням ризиками.
EMA5 vs EMA13 Crossover (1D)1dklık ema5 vs ema13 crossover deneme bununla 1 dk lık al sat verısı ıncelıyorum
ADX Di+ Di- [Scalping Setup]This ADX Di+ Di- Scalping Indicator is designed for traders looking to make quick and informed decisions in short-term scalping strategies, specifically on lower time frames like 15-minute charts.
Key Features:
ADX (Average Directional Index): Helps identify the strength of the trend, ensuring you trade only when there is sufficient market momentum.
+DI and -DI: These directional indicators show the market’s trend direction. The +DI line represents bullish momentum, while the -DI line shows bearish momentum.
Scalping Setup:
The indicator provides strong buy and sell signals based on trend strength and direction.
Quick Trend Reversal Alerts: Alerts when the trend switches from bullish to bearish and vice versa.
The indicator uses shorter smoothing periods for quicker trend identification, making it more responsive to rapid market changes.
Color-Coded Trend Visualization:
Green: Indicates strong bullish momentum.
Red: Indicates strong bearish momentum.
Orange: Indicates neutral or weak momentum, avoiding choppy trades.
Entry and Exit Signals:
Enter long (buy) when the +DI line is above the -DI and ADX signals a strong trend.
Enter short (sell) when the -DI line is above the +DI and ADX signals a strong bearish trend.
Exit trades based on crossovers and trend exhaustion signals.
Optimized for Scalping: This indicator is optimized for scalping strategies on a 15-minute time frame, with settings that allow traders to capture quick price movements in strong trends. Adjusted smoothing and DI lengths ensure that signals are fast, responsive, and effective for short-term trades.
Alerts:
Get alerted when a trend reversal is imminent or when a strong trend is confirmed.
Alerts are triggered when a potential entry or exit occurs, allowing you to react quickly to market changes.
Best For:
Day Traders
Scalpers
Short-Term Traders
Suitable for stocks, forex, and futures markets.
Note: This indicator is designed for educational purposes. Use at your own risk. Always backtest strategies before applying them in live trading.
Daily Candle Background + EMA Cross & Retest Alert🟢🔴 Daily Candle Trend + EMA Cross & Retest Alerts (by TheSimpleTrader9001)
This multi-timeframe trend-following tool is designed for traders who like to keep it simple but smart.
🔍 What it does:
Colours your intraday chart background (15min, 30min, 1H, etc.) based on the current daily candle:
✅ Green daily candle = green background.
🔻 Red daily candle = red background.
Sends alerts when your intraday candles:
Cross above/below a user-defined EMA (default: 21 EMA),
And match the direction of the daily candle (e.g. green candle + daily green).
Includes optional alerts for EMA retests:
A candle wicks to or touches the EMA and matches the daily trend — a classic "buy the dip" or "sell the rally" setup.
🛠️ Features:
EMA length is fully customisable.
Option to trigger alerts on candle close only (or live mid-bar).
Toggle EMA retest alerts on or off.
Works on any intraday timeframe.
Clean background tint for quick visual confirmation of trend.
✅ Example Use-Cases:
Wait for a green background (bullish daily trend), then take 15-min EMA breakouts or pullback entries — only in that direction.
Avoid counter-trend traps and stick with momentum.
Use the retest alerts to catch entries after a breakout, often with tighter stops.
⚠️ Pro Tips:
Use alongside RSI, MACD, or price action for added confluence.
Best used on 15min or 30min charts during trending sessions.
Looks great on dark mode. (Yeah, we said it again.)
Built for traders who want clean, trend-based alerts without noise. If it helps your trading — drop a like or a comment, or send me coffee money in the form of gratitude 😄
MNQ Scalping Strategyquick scalping strategy for mnq uses the macd ema and the vwap to help scalp a trade on the short or long side
Blood IndicatorBlood Indicator
Weekly (FRED:TB3MS / FRED:BAMLH0A0HYM2) plotted against the 100 WK MA. If red be ready for a sell off. Use Confluence in price action to confirm trades.
Dskyz Adaptive Futures Edge (DAFE)imgur.com/a/igj9lFj
Dskyz Adaptive Futures Edge (DAFE) is a futures trading strategy designed to adapt dynamically to market volatility and price action using a blend of technical indicators. The strategy combines adaptive moving averages, optional RSI filtering, candlestick pattern recognition, and multi-timeframe trend analysis to generate long and short trade signals. It incorporates robust risk management techniques including ATR-based stop-losses and trailing stops, ensuring trades are sized and managed within sustainable risk limits.
Key Components and Logic
-Adaptive Moving Averages
Dynamic Calculation: Fast and slow Simple Moving Averages (SMAs) adapt to changing volatility, making them sensitive to high-momentum shifts and smoothing during quieter price action.
Signal Generation: Entry signals are triggered when the fast SMA crosses the slow SMA in conjunction with price direction confirmation (e.g., price above both for long positions).
-RSI Filtering (Optional)
Momentum Confirmation: The RSI filter provides momentum confirmation to avoid overextended entries. It can be toggled on or off for both long and short conditions.
User Control: Adjustable parameters such as lookback period, oversold/overbought thresholds, and enable/disable switches give full control over its influence.
-Candlestick Pattern Recognition
Engulfing Logic: Recognizes strong bullish or bearish engulfing patterns with configurable strength criteria like range and volume. Patterns are filtered by trend direction and strength for confirmation.
Signal Conflict Handling: When both bullish and bearish engulfing patterns occur within the lookback window, the strategy avoids entry to reduce whipsaws in indecisive markets.
-Multi-Timeframe Trend Filter
Higher Timeframe Filtering: Incorporates 15-minute trend direction as a macro-level filter to align intrabar trades with larger trend momentum.
Smoothed Entry Logic: Prevents entering trades that go against the broader market structure, reducing false signals in choppy or low-conviction moves.
-Trade Execution and Risk Management
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Entry Logic
Priority System: Users can define whether moving average signals or candlestick patterns should take priority when both are present.
Volume & Volatility Checks: Ensures sufficient market participation and action before entering a position, improving the odds of reliable follow-through.
Stop-Loss and Trailing Exit
ATR-Based Initial Stops: Dynamically adjusts stop-loss distance based on market volatility using a multiple of ATR (Average True Range), keeping risk proportional to price swings.
Trailing Stop: Protects open profits and enables winners to run by following price action at a set distance (also ATR-based).
-Cooldown Period & Minimum Bar Hold (Trade Discipline Logic)
Cooldown Bars: After an exit, the strategy imposes a mandatory pause before opening a new position.
Why: This avoids rapid-fire re-entries triggered by minor fluctuations that could lead to overtrading and degradation of profitability.
Minimum Bar Hold: A trade must be held for a minimum number of bars before it can be exited.
Why: This prevents the strategy from immediately exiting trades due to fleeting volatility spikes, which previously caused premature exits that often reversed back in favor of the original signal. This ensures trades have adequate time to develop, filtering out noise from true reversals.
-Visual Elements and Transparency Tools
Chart Overlays: Moving averages, RSI values, and trade entry/exit points are shown directly on the chart for complete visibility.
Dashboard UI: Displays critical live metrics—current position, PnL, time held, ATR values, etc.
Debug Logs: Optional toggles allow verbose condition tracking for deep inspection into why a trade occurred (or didn't), useful for both live optimization and debugging.
-Input Parameter Reference Guide
Input Name Function & Suggested Use
Use RSI Filter - Enables or disables RSI-based entry confirmation. Disable if price action alone is desired for entry decisions.
RSI Length - RSI lookback period. Lower values (e.g., 7–14) are more responsive; higher values reduce false signals.
Overbought / Oversold Levels - Used to detect exhaustion zones. E.g., avoid long entries above 70 or short entries below 30.
Use Candlestick Patterns - Enable detection of bullish/bearish engulfing patterns as trade signals. Disable to rely only on trend/MA.
Pattern Strength Thresholds (Range, Volume) - Filters out weak engulfing signals. Higher values require stronger patterns to trigger.
Use 15min Trend Filter - Adds multi-timeframe trend confirmation. Recommended for filtering entries against larger trend direction.
Fast MA - Base Length for fast adaptive moving average. Suggested: 10–25.
Slow MA - Base length for slow adaptive moving average. Suggested: 30–60.
Volatility Sensitivity Multiplier - Multiplies volatility adjustments for adaptive MA length. Higher = more reactive to volatility.
Entry Volume Filter - Filters out trades during low volume. Recommended to prevent entries in illiquid conditions.
ATR Length - Lookback period for ATR calculation. Suggested: 14.
Trailing Stop ATR Offset - Defines how far the stop-loss is from entry. 1.5–2.5 is typical for medium-volatility environments.
Trailing Stop ATR Multiplier - Determines trailing stop distance. 1.5 is tight; 3+ gives more room for trending trades.
Cooldown Bars After Exit - Prevents immediate re-entries. Suggested: 3–10 bars depending on timeframe.
Minimum Bars to Hold Trade - Ensures trades are held long enough to avoid knee-jerk exits. Suggested: 5–10 for intraday strategies.
Trading Hours (Start / End) - Sets the window of allowed trading. Prevents entries outside key session times (e.g., avoid pre-market).
Enable Logging / Debugging - Shows internal trade decision data for tuning and understanding the logic.
Compliance with TradingView Regulations
Realistic Backtesting: The strategy uses proper initial capital, fixed trade quantities, and risk parameters to reflect realistic scenarios.
Transparent Trade Logic: Every condition used for signal generation is documented and controllable by the user. Users can view each signal's rationale.
Risk Mitigation: Cooldown bars, ATR stops, and minimum trade duration ensure the strategy behaves predictably and prevents reckless trade behavior.
Customization: Full control over each module (MA, RSI, Candlestick, Trend, etc.) gives users the ability to tailor the strategy to suit various futures contracts or timeframes.
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Summary
DAFE was built for high-stakes micro futures trading environments such as the MNQ, where milliseconds of volatility matter. This strategy's modular architecture, adaptive logic, and advanced risk controls make it an ideal framework for scalpers and swing traders alike.
BTCUSDT.P
Backtesting: www.dropbox.com
Deep Backtesting:
www.dropbox.com
****Currently testing on a prop account.
Caution Statement
This strategy is designed for educational and experimental purposes and should not be considered financial advice or a guaranteed method of profitability. While the DAFE (Dskyz Adaptive Futures Edge) strategy incorporates advanced filters, adaptive logic, and volatility-based risk management, its performance is subject to market conditions, data accuracy, and user configuration.
Futures trading involves substantial risk, and the leverage inherent in futures contracts can amplify both gains and losses. This strategy may execute trades rapidly and frequently under certain conditions—particularly when filters are disabled or thresholds are set too tightly—potentially leading to increased slippage, commissions, or unanticipated losses.
Users are strongly advised to:
Backtest thoroughly across various market regimes.
Adjust parameters responsibly and understand the implication of each input.
Paper trade in a simulated environment before going live.
Monitor trades actively and use discretion when market volatility increases.
-By using this strategy, you accept all risks and responsibility for any trading decisions made based on its output.
JR28 Overnight High/Low, 8/21 EMA Cloud & 50 EMAThis custom TradingView indicator combines key technical analysis tools to enhance decision-making:
Overnight High/Low: Displays the high and low levels for the specified overnight session (6 PM–9:30 AM ET), helping to identify important support and resistance levels. These levels are plotted as orange lines.
8/21 EMA Crossover Cloud: This feature uses two exponential moving averages (EMA)—8 and 21 periods—to highlight potential trends. The area between the 8 EMA and 21 EMA is shaded to indicate bullish (green) or bearish (red) conditions based on the crossover. A bullish signal occurs when the 8 EMA crosses above the 21 EMA, and a bearish signal occurs when the 8 EMA crosses below the 21 EMA.
50 EMA: The 50-period Exponential Moving Average (EMA) is also plotted to provide an intermediate-term trend perspective. It’s shown in orange and helps traders identify the overall trend direction. A price above the 50 EMA suggests an uptrend, while a price below indicates a downtrend.
This indicator combines these elements to provide a comprehensive view of market conditions, making it easier to spot potential reversals, trend continuations, and significant levels of support and resistance.
Bitcoin Cycle Top and BottomAbove the red band marks historically reliable parabolic cycle tops, calculated using a percentage offset above the 50-week RMA.
Below the green band defines major market bottoms by multiplying the 50-week RMA with a user-defined support factor.
Above white midline represents the parabolic cycle phase, acting as a dynamic midpoint between support and resistance for trend gravity and cycle equilibrium.
hasan s an oscillator based on the QQE (Quantitative Qualitative Estimation) method. This version incorporates refinements for additional visualization and interpretation options. It is designed to help traders observe momentum changes and divergence patterns in price movements.
RK_RAVI in this script
combination of
EMA 20
EMA 50
TRUE RANGE
AVERAGE TRUE RANGE
DAILY AVERAGE TRUE RANGE
THIS INDECATOR IS DEDICATED TO MY MENTOR MR RAVI R KUMAR
Weekly Anchored VWAP + 5-Day MAAnchors to Monday's open (start of week). Uses HL/2 (or close) weighted by volume for accuracy. Automatically resets every week. Works best on intraday timeframes.
EMA Volume FlowEMA Volume Flow Indicator
Overview
The EMA Volume Flow Indicator is a sophisticated trading tool designed to provide traders with a comprehensive view of market dynamics by combining Exponential Moving Average (EMA) analysis with volume delta insights.
Key Features
Multi-EMA Trend Analysis: Utilizes 8, 13, 21, and 55-period EMAs to capture nuanced market trends
Advanced Volume Delta Tracking: Measures volume strength and directional momentum
Customizable Table Display:
Adjustable table size (Small, Normal, Large)
Flexible visual presentation
Trend Identification
The indicator categorizes market conditions into multiple states:
Bullish/Bearish Reversals
Early Reversal Signals
Weak/Strong Trend Continuation
Retracement Movements
Neutral Zones
Strength Metric
A unique 1-10 strength scale that combines:
EMA alignment
Volume ratio
Trend consistency
How to Use
Monitor the bottom-right table for real-time insights
Use color-coded signals to quickly assess market condition
Adjust table size and appearance to suit your trading style
Recommended For
Day Traders
Swing Traders
Technical Analysis Enthusiasts
Traders seeking multi-dimensional market perspectives
Disclaimer
Always combine indicator insights with additional analysis and risk management strategies.
Would you like me to refine this description further?
Z-Score + RSI Strategy [JR28]This strategy is designed for intraday futures traders, particularly the MNQ (Micro Nasdaq) on the 15-minute chart. It identifies statistically significant price extremes using the Z-Score, then filters those signals with RSI momentum and a 50 EMA trend filter to trade only in the direction of the prevailing trend.
🔍 Entry Logic:
Long: Z-Score < –Threshold, RSI is oversold, and price is above EMA
Short: Z-Score > +Threshold, RSI is overbought, and price is below EMA
🎯 Exit Logic:
Dynamic Stop Loss and Take Profit based on percentage inputs (customizable)
✅ Key Features:
Combines mean reversion + momentum + trend
Customizable Z-Score and RSI thresholds
Strategy-ready with backtestable performance and visual chart signals
CoinDome: VWAPThe CoinDome: VWAP Indicator is a sophisticated tool designed for cryptocurrency traders to enhance their market analysis with precision and clarity. This indicator calculates the Volume Weighted Average Price (VWAP) for Bitcoin (BTCUSD) using a 200-day rolling lookback period, ensuring the VWAP reflects recent price action while maintaining alignment with Bitcoin's current market value. Plotted as an orange line in the upper pane, the VWAP is clipped to the BTCUSD price scale, allowing it to move seamlessly with price fluctuations and adapt to the chart’s linear or logarithmic settings. A fixed offset of -69 units shifts the VWAP downward for strategic alignment, providing traders with a reliable benchmark to identify potential support and resistance levels, assess trend direction, and gauge market momentum. The CoinDome: VWAP Indicator is an essential tool for traders seeking to integrate volume-weighted price analysis into their Bitcoin trading strategies, offering a clear visual guide for making informed decisions in dynamic market conditions.
More for free in our Terminal
TheTradersLight ToolkitTheTradersLight Toolkit is a clean and efficient basic multi-purpose indicator designed to simplify your market analysis.
It combines:
✅ VWAP for intraday price positioning
✅ Weekly VWAP for broader context
✅ Daily Open line to monitor price in relation to the day's open
✅ 3 configurable EMAs (default: 50 / 200 / 800) for trend following
✅ Vector Candles for high volume and volatility candle identification
Perfect for traders who want to keep their charts clean while still having powerful references at a glance.
This toolkit has been built with attention to simplicity and readability.
🔗 Follow my trading journey on YouTube: www.youtube.com
Stay tuned for future updates!
SEMA JMA | QuantEdgeB
📈 Introducing SEMA JMA by QuantEdgeB
🛠️ Overview
SEMA JMA is a precision-engineered, dual-signal trend indicator that blends Jurik Moving Average (JMA) logic with Double Exponential Moving Average (DEMA) smoothing and normalized statistical filters.
This advanced indicator is built for high-quality trend detection, reducing false signals by confirming momentum through both price-based SD bands and normalized JMA logic. The result is a powerful, noise-filtered tool ideal for directional trading in volatile and ranging environments.
SEMA JMA offers adaptive volatility bands, backtest-ready analytics, and dynamic signal labeling, making it a favorite for traders demanding speed, precision, and strategic clarity.
✨ Key Features
🔹 Hybrid JMA + DEMA Core
Combines the ultra-smooth JMA with lag-reducing DEMA for exceptional trend clarity.
🔹 Volatility-Based SD Band Filtering
Uses rolling standard deviation on JMA for adaptive long/short bands that respond to market dynamics.
🔹 Normalized Price Filter Confirmation
A second JMA stream is normalized against price and filtered via SD for added trend confirmation and false signal suppression.
🔹 Backtest Integration & Equity Curve Plotting
Built-in compatibility with QuantEdgeB/BacktestingIndV2, delivering historical metrics, equity visualization, and strategic evaluation.
🔹 Fully Customizable UI
Includes label toggles, signal overlays, visual themes, and backtest table position selection.
📊 How It Works
1️⃣ JMA-DEMA Hybrid Trend Engine
The foundation of SEMA JMA lies in a custom-built JMA engine, enhanced by a DEMA smoothing layer to:
• Minimize lag without losing trend integrity.
• Maintain responsiveness in noisy or low-volume environments.
• Create a central trend structure used by both raw price and normalized filters.
2️⃣ Standard Deviation Band Filtering
SEMA JMA applies a rolling SD filter over the JMA signal. This creates adaptive upper and lower bands:
• Long Signal = Price > Upper Band
• Short Signal = Price < Lower Band
These bands adjust based on price volatility, offering a dynamic alternative to traditional fixed thresholds.
3️⃣ Normalized JMA for Momentum Confirmation
A second JMA-DEMA structure is normalized by dividing by price, then smoothed:
• If the normalized signal rises above -1, it suggests upside pressure.
• If it drops below -1, it signals momentum decay.
Only when both raw and normalized signals agree does the indicator issue a trade trigger.
✅ Signal Logic
📌 Long Signal →
🔹 Price breaks above volatility-adjusted upper SD band
🔹 AND Normalized JMA rises above -1
📌 Short Signal →
🔹 Price breaks below lower SD band
🔹 AND Normalized JMA falls below -1
⚙️ SEMA JMA stays in its active trend state until an opposing signal triggers, enabling tren riding while filtering short lived swings.
👥 Who Should Use It?
✅ Swing & Trend Traders → Ride strong directional moves with reduced whipsaws
✅ Volatility-Adaptive Systems → Filter trades using rolling SD-based thresholds
✅ Quantitative Strategy Builders → Deploy within algo-driven strategies using backtest-ready metrics
✅ Risk-Aware Traders → Use dual confirmation to minimize signal risk
⚙️ Customization & Default Settings
🔧 Core Settings:
• JMA Length (Default: 35) → Defines JMA sensitivity.
• DEMA Length (Default: 20) → Smoothing after JMA to refine structure.
• Normalized JMA Lengths → Control confirmation layer smoothness (default: 1 for short and long).
• Standard Deviation Length (Default: 30) → Determines the volatility lookback.
• SD Weight Factors → Separate values for long (default: 1.0) and short (default: 1.002) bands.
📊 Backtest Mode
SEMA JMA includes an optional backtest table, enabling traders to assess its historical effectiveness before applying it in live trading conditions.
🔹 Backtest Metrics Displayed:
• Equity Max Drawdown → Largest historical loss from peak equity.
• Profit Factor → Ratio of total profits to total losses, measuring system efficiency.
• Sharpe Ratio → Assesses risk-adjusted return performance.
• Sortino Ratio → Focuses on downside risk-adjusted returns.
• Omega Ratio → Evaluates return consistency & performance asymmetry.
• Half Kelly → Optimal position sizing based on risk/reward analysis.
• Total Trades & Win Rate → Assess historical success rate.
📌 Disclaimer:
Backtest results are based on past performance and do not guarantee future success. Always incorporate real-time validation and risk management in live trading.
🚀 Why This Matters?
✅ Strategy Validation → Gain insight into historical trend accuracy.
✅ Customization Insights → See how different settings impact performance.
✅ Risk Awareness → Understand potential drawdowns before deploying capital.
📌 How to Use SEMA JMA
🌀 Trend-Following Strategy
✔ Go Long: When price breaks above SD band and normalized momentum rises
✔ Go Short: When price breaks below SD band and normalized momentum falls
✔ Stay in position: Until signal reversal confirms
⚙️ Volatility-Adaptive Configuration
✔ Tune w1 (Long SD weight) and w2 (Short SD weight) for responsiveness
✔ Increase SD length in noisy markets for smoother bands
📌 Conclusion
SEMA JMA by QuantEdgeB delivers surgical precision trend signals using a dual-layer approach:
• JMA + DEMA core smoothing
• Statistical SD breakout filters
• Normalized confirmation logic
It’s a versatile indicator suited for trend-following, volatility tracking, and system-based signal generation—engineered for clarity, confidence, and adaptability.
🔹 Key Takeaways:
1️⃣ Multi-Filter Trend Logic – JMA + DEMA + Normalized filtering for high-confidence signals
2️⃣ SD-Based Volatility Control – Reduces noise, avoids ATR limitations
3️⃣ Quant-Ready System – Includes full backtesting
📌 Master your market edge with precision – SEMA JMA | QuantEdgeB
🔹 Disclaimer: Past performance is not indicative of future results.
🔹 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.