Coppock Curve
The Coppock Curve is a long-term momentum indicator, also known as the "Coppock Guide," used to identify potential long-term market turning points, particularly major downturns and upturns, by smoothing the sum of 14-month and 11-month rates of change with a 10-month weighted moving average.
Here's a more detailed breakdown:
What it is:
The Coppock Curve is a technical indicator designed to identify long-term buy and sell signals in major stock market indices and related ETFs.
How it's calculated:
Rate of Change (ROC): The indicator starts by calculating the rate of change (ROC) for 14 and 11 periods (usually months).
Sum of ROCs: The ROC for the 14-period and 11-period are summed.
Weighted Moving Average (WMA): A 10-period weighted moving average (WMA) is then applied to the sum of the ROCs.
Interpreting the Curve:
Buy Signals: A buy signal is often generated when the Coppock Curve crosses above the zero line, suggesting a potential transition from a bearish to a bullish phase.
Sell Signals: While primarily designed to identify market bottoms, some traders may interpret a cross below the zero line as a sell signal or a bearish warning.
Origin and Purpose:
The Coppock Curve was introduced by economist Edwin Coppock in 1962.
It was originally designed to help investors identify opportune moments to enter the market.
Coppock's inspiration came from the Episcopal Church's concept of the average mourning period, which he believed mirrored the stock market's recovery period.
Limitations:
The Coppock Curve is primarily used for long-term analysis and may not be as effective for short-term or intraday trading.
It may lag in rapidly changing markets, and its signals may not always be reliable.
Moving Averages
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
EMA Strategy with Labels//@version=5
indicator("EMA Strategy with Labels", overlay=true)
// EMA calculations
ema21 = ta.ema(close, 21)
ema50 = ta.ema(close, 50)
ema200 = ta.ema(close, 200)
// Volume threshold
volumeThreshold = input(100000, title="Volume Threshold")
// Bullish signal logic
bullishSignal = close > ema200 and ta.crossover(ema21, ema50) and volume > volumeThreshold
// Bearish signal logic
bearishSignal = close < ema200 and ta.crossunder(ema21, ema50) and volume > volumeThreshold
// Plot EMAs
plot(ema21, color=color.red, title="21 EMA")
plot(ema50, color=color.blue, title="50 EMA")
plot(ema200, color=color.green, title="200 EMA")
// Entry labels
if (bullishSignal)
label.new(bar_index, high, "BUY", color=color.green, style=label.style_label_up)
if (bearishSignal)
label.new(bar_index, low, "SELL", color=color.red, style=label.style_label_down)
// Alert conditions
alertcondition(bullishSignal, title="Bullish Entry Alert", message="Bullish signal detected: Buy now!")
alertcondition(bearishSignal, title="Bearish Entry Alert", message="Bearish signal detected: Sell now!")
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
Kripto Pro Quantum Strategy V2 DEMOIndicator Name: Kripto Pro Quantum Strategy V2
Overview:
This indicator combines advanced technical analysis techniques to detect market trends, breakouts, and price dynamics. It utilizes the following key methods:
1. Fibonacci Supertrend Calculation:
• Three separate supertrend lines are calculated using Fibonacci ratios (0.618, 1.618, 2.618).
• The average of these lines is then smoothed with an EMA (Exponential Moving Average) to create a stable trend indicator sensitive to market volatility.
2. Dynamic Trendline Detection:
• Pivot points (swing highs and lows) are identified over a specified lookback period (e.g., 8 bars).
• Upper and lower trendlines are dynamically drawn based on these pivot points, with “backpainting” used to update historical levels and visualize support/resistance.
3. Breakout Detection:
• The indicator monitors price action relative to the trendlines.
• When the price moves above the upper trendline or below the lower trendline, potential long or short signals are generated.
4. Directional Movement Index (DMI):
• DMI is calculated (DI+ and DI–) to gauge the strength of the current trend, providing additional confirmation for signals.
5. SMA Crossovers:
• Fast and slow Simple Moving Averages (SMA) are used to verify the market trend and add further confirmation to the signals.
6. Advanced Risk Management:
• Dynamic stop loss and take profit levels are determined using ATR or percentage-based methods.
• Trailing stops and break-even adjustments help minimize risk and secure profits.
How It Works:
• The indicator processes the above calculations to display trends, support/resistance, and breakout points on the chart.
• Based on these insights, buy and sell signals are marked on the chart.
• Risk management settings automatically set stop loss and take profit levels.
How to Use It:
1. Add to TradingView:
• Paste the code into TradingView’s Pine Script editor and add it as a strategy.
2. Customize Settings:
• Adjust parameters such as ATR, Fibonacci factors, SMA lengths, and risk management settings to suit your trading style.
3. Monitor Signals:
• Follow the buy (BUY) and sell (SELL) labels on the chart to identify potential entry and exit points.
4. Backtest Performance:
• Review the backtest results in TradingView to evaluate how the strategy performed historically.
5. Live Application:
• Apply the strategy on TradingView to observe how the technical analysis and risk management signals guide your trades.
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.
Double SMA with VWMAUsing Long and short SMA with VWMA as filter, and MACD as second filter.
Using VWMA as trail profit taker.
VICI Algo-VVici Trading Solutions is proud to present Algo-V. This represents the first significant innovation publicly released by Vici Trading Solutions, This Algorithm is widely utilized by by our internal trading team, trusted for its dependable Average True Range (ATR) support and resistance levels across multiple time frames.
Features of Algo-V:
Proprietary ATR:
- Unique ATR formula designed specifically by Vici Trading Solutions designed for consistency & accuracy.
- Reliably suggests support and resistance levels, providing significant confluence in market analysis.
- Unique calculations for analysis on any time frame.
Built-in Buy and Sell Signals:
- Includes clearly marked signals for both minor and major trading opportunities. (Strong signals recommended over minor signals to reduce frequency of signals to user.)
Customizable Moving Average Line:
- Offers extensive customization, featuring 13 different moving average calculations.
- Allows users to set moving averages independently from the chart's time frame (e.g., plotting a 1-hour moving average on a 10-minute chart).
Visual Candlestick Coloring:
- Candles are color-coded for quick market sentiment identification:
- Green: Price above cloud, indicating potential longs and an upward trend.
- Red: Price below cloud, indicating potential shorts and a downward trend.
- Purple: Price inside cloud, indicating indecision and sideways or neutral market action.
Important Notes:
- The signals, support, and resistance levels are intended as complementary tools, not standalone trading methods.
- Traders are encouraged to integrate this study into their existing strategies to enhance decision-making and improve trading precision.
Enhance your trading precision and strategy confidence with Algo-V and start conquering the markets today!
Risk Disclaimer:
Trading carries significant risks, and many day traders experience losses. All content, tools, scripts, articles, and educational resources provided by Vici Trading Solutions are intended solely for informational and educational purposes. Remember, past performance is not indicative of future results. The indicator published on TradingView is fully compliant, does not constitute investment advice, and is not exclusively designed for qualified investors.
Swing Breakout Strategy 📈🧠 Concept Behind the Strategy
The strategy identifies potential breakout opportunities by looking for:
A breakout above the highest high of the past N candles (bullish).
A breakdown below the lowest low of the past N candles (bearish).
The trend filter using EMA 50 ensures you're trading in the direction of the main trend.
Jeanius Productions - XXX V16(Launch Edition))Jeanius Productions - XXX V16 (Launch Edition)
Overview
XXX V16 is a high-performance scalping strategy designed to maximize precision and efficiency. It utilizes EMA crossovers, trend validation, and adaptive risk management to capitalize on momentum.
Key Features
🔥 Smart Entry System – EMA crossovers confirm directional shifts.
🚀 Optimized Take Profit – TP1 (30 pips) and TP2 (60 pips), with time-based filtering.
✔ Automatic Trade Reversals – Opposite trades close before new positions open.
📈 Multi-Timeframe Validation – Trades only when aligned with market trends.
Why Use XXX V16?
✔ Refined for Scalping & Short-Term Trading
✔ Integrated MT5 Signal Execution
✔ Risk-Controlled, Time-Based Optimization
Trade with confidence. Turn momentum into profits. 🚀🔥
Let me know if you’d like any final tweaks
Combined Trading IndicaterThis is 3 Hull moving average with 3 SMA . this also have feature of CPR and camarilla pivot and RSI , stochrsi based Book profit feature as over bought and over sold . ATR based trend line helps traders to find correct entry for trades when trendlines break and CPR and camarilla pivot boost traders confidence to take decision as when price crosses above Camarilla R3 and CPR take long position and when price crosses below Camarilla S3 and CPR take short position .
Parabolic SAR gives traders trend reversal indication . it should be confirmed with CPR and Ichimoku conversion .
Ichimoku conversion crosses above base line then bullish and when Ichimoku conversion crosses below base line then bearish condition.
This is very Powerful indicator if used with Demand/ supply Zones .
Bollinger Band feature gives indication when price action start after band contraction .
Trading and investment always associated with Risk and indicators are always in lagging nature as these depends on price , So Don't rely 100% , use strict stoploss . Best of luck.
Thanks pine community and pine library to inspire me to discover such pine code
TOMOs SPX Consolidation Detector with Cooldown.Consolidation indicator. Pick the tolerance range for consolidation. Triggers an alert at the end of the "min consolidation" bar. Blue is the bar after showing consolidation right before it.
Invite Only 2 MA Color Dir Detection This script has default value of 10 and 20 EMA and if you check the 'Filling' box on settings then you will get the color coding, which is easy to comprehend. Long trade as soon as the stream turns green, No Trade in Purple zone and Short in Red zone. Best is to take enter as soon as color changes or when price comes closer to the stream of colors.
