Pivot Point X AlertsView major pivot points by the day, week, or month. Set alerts to be notified when crossing each level.
移动平均线
Moving Avg Cross DailyUse this Multi Time Frame Moving Average on a daily chart to catch directional changes. Alerts can be set to lower timeframes to receive multiple alerts per candle.
Ideal Settings:
OHLC/4
200/100/1
HMA 1Day
EMA 1Hr
Moving Avg X HourlyUse this Multi Time Frame Moving Average on an hourly chart to catch directional changes. Alerts can be set to lower timeframes to receive multiple alerts per candle.
Ideal Settings:
OHLC/4
6/1/1
HMA 1HR
EMA 15
BTC Market Regime Scanner (Free Preview)This idea demonstrates how Bitcoin price action behaves very differently
depending on the underlying market regime.
Most indicators react to price.
This framework focuses on context.
Instead of highlighting isolated buy/sell moments, the chart visualizes:
• When the market is structurally trending versus conditionally neutral
• Why certain price moves should be ignored despite strong momentum
• How multiple filters work together to block low-quality participation
• Where late entries statistically deteriorate expectancy
The regime logic is designed to answer a simple but critical question:
"Is this environment even worth engaging?"
By combining trend strength, regime classification and structural filters,
the framework avoids common pitfalls such as:
– chasing extended moves
– trading inside neutral compression zones
– reacting to noise instead of structure
Important:
– This is NOT a trading signal
– No entries, no alerts, no automation
– The purpose is structural market interpretation, not execution
The indicator shown here is a free visual preview of a more advanced,
invite-only system that extends this logic with execution rules,
risk management and automation.
If you are interested in testing the full system,
feel free to DM me on TradingView.
EMAs 7 / 25 / 50 / 99 JQSSimple indicator that plots four Exponential Moving Averages (EMAs) on the chart: 7 (yellow), 25 (purple), 50 (orange), and 99 (white). Useful for spotting trend direction, dynamic support/resistance, and momentum shifts across any timeframe.
RiskyInvesting Algo PRORiskyInvesting Algo PRO
A premium multi-layer trend-following and momentum-confirmation system built on Heikin-Ashi candles, dual adaptive ATR trailing baselines, and intelligent multi-filter signal validation. The PRO version expands the core 5-parameter foundation with 4 additional advanced parameters, delivering significantly sharper entries, reduced false signals, and deeper market context for disciplined trend-flip trading.This model uses 9 parameters (vs 5 in the Free version), offering greater customization and precision. For more info, follow me on Twitter/X .
Disclaimer :
Must be used with Heikin-Ashi candle type.
Designed to complement your existing trading system. Signals and labels are not financial advice.
Core Features (Shared with Free Version) :
Heikin-Ashi Transformation: Smooths noise for clearer trend structure.
Dual Adaptive Trailing Baselines: ATR-based dynamic support/resistance lines (Parameters 1 & 2) that flip direction on confirmed breaks.
Directional Shift Detection: Buy/sell signals triggered by synchronized baseline flips.
Trend Bias Filtering: EMA vs SMMA relationship colors signals and defines macro bias.
Candle Strength Filter (Parameter 5): Requires meaningful momentum candles (≥30% of ATR body) for signal validity.
Exclusive PRO Version Upgrades :
Parameter 6: EMA/SMMA Proximity Filter
Highlights periods of indecision when the EMA and SMMA are extremely close (tick-based threshold, auto-adjusted by timeframe). Background turns semi-transparent purple to warn of unclear bias and discourage trading.
Parameter 7: Signal Mode Selection
Choose between Default (baselines can flip on separate candles) or Strict (both baselines must flip on the same candle) for higher-conviction entries.
Parameter 8: Retest Filter
Optional confirmation requiring price to retest the prior candle’s high/low (with buffer) after a flip, filtering out weak breakouts and improving win rate on reversals.
Parameter 9: Multi-Timeframe BB/KC Squeeze Filter
Monitors up to 7 higher timeframes (preset or user-customizable) for concurrent BB/KC squeezes — a powerful consolidation detector.
- Visual squeeze counter at chart bottom (color-coded by intensity).
- Real-time squeeze status table (toggleable).
- High squeeze count (5–6+) triggers strong purple consolidation warning.
Enhanced Visual & Alert System (PRO Exclusive) :
Smart Color-Coded Labels: Green/Blue (bullish), Red/Orange (bearish), or Purple (caution) based on bias, proximity, squeeze state, or counter-bias entries.
Star Rating on Signals: 🌟 or 🌟🌟 indicates how many strength filters (body + retest) were passed.
Position Sizing Emojis in Alerts:
🟩 = Full Position | 🟦 = Half Position
🟥 = Full Position | 🟧 = Half Position
Purple Caution Alerts: Clearly explain consolidation, unclear bias, or risky counter-bias setups.
EMA/SMMA Crossover Bias Alerts: Notifies on major macro trend shifts.
Real-Time Intrabar Baseline Cross Alerts: Early warning when price crosses trailing lines mid-bar.
Built for serious traders seeking a highly refined, low-noise trend-reversal system with institutional-grade filters, multi-timeframe awareness, and crystal-clear visual feedback — ideal for volatile intraday and swing setups.
NY ORB, VWAP & EMAsThis release introduces powerful new features focused on session analysis, trade alerts, and clear market visualization to help you better frame the trading day.
✨ New Features
1. Automated Trading Session Identification
The indicator now automatically identifies and highlights two key market periods:
Asian Session High/Low Tracking: Automatically tracks and plots the High and Low prices established during the Asian Trading Session (5:00 PM – 2:00 AM PST). These levels provide critical reference points for potential support and resistance during subsequent sessions.
Power Hour Visualization: A subtle green background highlight is now applied to the chart during the "Power Hour" (6:00 AM – 9:30 AM PST). This visually marks the high-volatility period immediately following the New York Open, helping traders focus on active price action.
⚙️ Technical Changes
Plot Style: The plots for the "Asian High" and "Asian Low" are now plotted using circles (plot.style_circles) for clear visibility and differentiation from standard lines.
One-Sided Hodrick-Prescott FilterTechnical & Mathematical Architecture
This indicator represents a significant departure from standard Moving Averages or traditional Hodrick-Prescott (HP) filter implementations found on Trading View. It utilizes a State-Space Model approach to decompose time-series data into trend and cyclical components, solved recursively via a Kalman Filter (Forward Pass) and a Rauch-Tung-Striebel (RTS) Smoother (Backward Pass). Furthermore, it introduces a proprietary Maximum Likelihood Estimation (MLE) loop to adapt the smoothing parameter (λ) dynamically in response to market regimes.
1.1 The State-Space Formulation
The standard HP filter minimizes a specific loss function involving the sum of squared deviations and the sum of squared second differences. While typically solved via batch matrix inversion, this script reformulates the problem as a Local Linear Trend (LLT) model, a stochastic structural model defined by:
Measurement Equation:
y = μ + ε
(Where ε is normally distributed noise)
State Transition Equations:
μ = μ + β + η
β = β + ζ
Where μ represents the stochastic level (trend) and β represents the stochastic slope (drift). The crucial link to the HP filter is the signal-to-noise ratio. By setting the variance of η to 0 (smooth trend) and defining λ as the ratio of measurement variance to slope variance, the Kalman Filter solution converges exactly to the One-Sided HP Filter.
1.2 The Forward Pass: Kalman Filter
The script executes a recursive estimation loop for real-time (causal) filtering:
Prediction Step: Projects the state mean and error covariance forward based on the transition matrix.
Innovation: Calculates the measurement residual (v = y - predicted y).
Update Step: Computes the Kalman Gain. The posterior state is updated based on how much the prediction missed the actual price.
Stability: The covariance update utilizes the Joseph Form subtraction to ensure the covariance matrix remains positive semi-definite, preventing numerical instability inherent in high-precision floating-point calculations over long durations.
1.3 Adaptive λ via Maximum Likelihood
Standard filters use a static λ (e.g., 1600 for quarterly data), which fails in crypto/FX markets exhibiting changing volatility. This script implements an Adaptive ML Loop.
The Kalman Filter assumes innovations are normally distributed with a specific theoretical variance (S). We compute a running variance ratio test:
Ratio = Actual Innovation Variance / Theoretical Variance
Ratio > 1: The model is "surprised" by volatility. The filter is under-fitting. The script dynamically decreases λ to increase responsiveness (reduce lag).
Ratio < 1: The model is over-fitting noise. The script increases λ to enforce a smoother trend.
This allows the filter to function as a low-lag trend follower during impulses and a robust noise filter during consolidation, automatically.
1.4 The Backward Pass: Rauch-Tung-Striebel (RTS) Smoother
This is the most complex feature of the script. While the Forward Pass provides the optimal estimate based on past data, the Backward Pass computes the optimal estimate based on all data.
The RTS algorithm runs purely on historical arrays stored in memory:
It iterates backward from the last bar to the past. It computes a "Smoother Gain" matrix based on future information. It updates the past estimates to correct them based on what happened afterwards. This results in a Minimum Mean Squared Error (MMSE) estimator. Note: This smoothed line is for analytical hindsight and back testing theoretical limits; it is distinct from the real-time filtered line used for live signaling.
Usage Guide:
This indicator is designed for precision trend following and mean-reversion trading. It separates the market price into a Trend Component (Signal) and a Cycle Component (Noise/Oscillation).
The Two Trend Lines:
The Filtered Trend (Real-Time): This is the filled/shaded line on your chart. It calculates the trend using only past data. It does not repaint. Use this for entering and exiting live trades.
Green Fill: Price is above the trend (Bullish bias).
Red Fill: Price is below the trend (Bearish bias).
The Smoothed Trend (Hindsight): (Optional, enabled via settings). This is the "God mode" line. It uses future data to show you exactly where the trend was.
WARNING: This line repaints. Do not trade the tip of this line. Its purpose is to show you the ideal path for training your eye or optimizing parameters.
Mean Reversion Signals:
The script calculates the "Cycle," which is the percentage deviation of price from the HP Trend.
Bands: The Upper and Lower bands represent the Cycle Threshold.
Long Signal (L): Triggered when the Cycle is Oversold (below lower band) AND begins to turn up, while the Filtered Drift (slope) is positive. This suggests a "dip buy" in an uptrend.
Short Signal (S): Triggered when the Cycle is Overbought (above upper band) AND begins to turn down, while the Filtered Drift is negative. This suggests selling a rally in a downtrend.
Adaptive Lambda Panel:
Enable the "Lambda Panel" to see the engine under the hood.
Rising Lambda (Blue): The market is noisy or consolidating. The filter is becoming "stiffer" to ignore the chop.
Falling Lambda (Orange): The market is trending impulsively. The filter is becoming "looser" to track the price closely and reduce lag.
Strategy: You can use low Lambda values as a confirmation of high-volatility breakout regimes.
Performance Table:
A dashboard in the bottom right corner displays the efficiency of the Kalman Filter:
MSE Filtered vs. Smoothed: Shows the Mean Squared Error of the real-time prediction vs. the hindsight-optimal smooth.
Improvement %: A higher percentage indicates that the RTS Smoother is extracting significantly more noise than the real-time filter (common in choppy markets).
Kalman Gains (K1, K2): These display the current weight the filter assigns to new price data for updating the Level and Slope respectively.
Summary of Settings
Base Lambda: The starting stiffness. Higher = smoother (long-term trend). Lower = responsive (short-term trend).
Adaptation Speed: Recommended between 0.01 and 0.05. Controls how fast λ reacts to volatility shocks.
Smoother Lookback: How far back (in bars) the RTS algorithm re-optimizes the historical line.
Best Practice: Use the Filtered Trend for execution. Use the Smoothed Trend to analyze past price action and determine if your Base Lambda setting is appropriate for the asset's volatility profile.
Market NavigatorIntroducing Market Navigator: The Ultimate Trading Indicator for Forex and Gold Markets
In today’s fast-paced trading world, having all-in-one tools that provide clarity and actionable insights is more critical than ever. The FINAL EMA 05 indicator is a comprehensive TradingView tool designed to help traders spot trends, key levels, and market reversals—all on a single chart.
This indicator combines 8 EMAs, Delta Zones, Swing Highs/Lows, Candle Patterns, and Liquidity Channels—making it perfect for Forex, Gold (XAUUSD), and other major markets.
1. Multi-Timeframe EMAs for Trend Clarity
The indicator includes 8 EMAs:
EMA 7 & 9 – Short-term trend detection
EMA 10 & 20 – Short-to-mid-term trend confirmation
EMA 50 & 89 – Mid-to-long-term trend
EMA 100 & 200 – Long-term trend and strong support/resistance levels
Each EMA can be customized with a different length, color, width, and timeframe, making it easy to visualize both local and major market trends.
✅ Why it matters: EMAs help traders quickly identify whether the market is in an uptrend or downtrend, and spotting EMA crossovers can signal potential trade entries.
2. Delta Zones: Detect Buy & Sell Pressure
Delta Zones identify buying and selling pressure by analyzing price movement deviations. The system plots green “Buy Boxes” when bullish pressure is high and red “Sell Boxes” when bearish pressure dominates.
Configurable StdDev levels and lookback periods
Alerts when buy or sell pressure is detected
✅ Why it matters: Delta Zones give traders an edge by visually highlighting where buyers or sellers are strongest, helping to anticipate market moves.
3. Swing Highs & Lows with Candle Patterns
FINAL EMA 05 automatically detects:
Swing Highs (HH/LH) and Swing Lows (LL/HL)
Key candlestick patterns including Hammer, Inverted Hammer, Bullish Engulfing, Hanging Man, Shooting Star, and Bearish Engulfing
Labels are plotted directly on the chart, with tooltips explaining the pattern, making it perfect for beginners and experienced traders alike.
✅ Why it matters: Swing levels and candle patterns help identify market reversals and trend continuations, allowing precise entry and exit timing.
4. Liquidity Channels: Spot Key Levels for Big Moves
Liquidity Channels detect important highs and lows where large traders may have placed their orders. The channels expand over time and are visually highlighted:
Teal lines for bullish liquidity
Red lines for bearish liquidity
Customizable channel growth, line style, and deletion timing
✅ Why it matters: These levels often act as support and resistance zones, and price reactions at these points can indicate major breakouts or reversals.
5. Why Bangladeshi Traders Should Use FINAL EMA 05
Gold (XAUUSD) & Forex Focus: The EMAs and Delta Zones provide accurate trend direction, while liquidity levels show where institutional traders are active.
Multi-Timeframe Insights: Short-term traders can focus on EMA 7, 9, and 10, while swing traders can watch EMA 50, 89, and 200.
All-in-One View: No need to add multiple indicators; this script combines trend, pressure, patterns, and liquidity in one.
Conclusion
The FINAL EMA 05 indicator is not just another EMA or candlestick tool—it’s a complete trading toolkit. By combining trend analysis, pressure zones, swing levels, candlestick patterns, and liquidity channels, it empowers traders to make informed, precise, and confident decisions.
Whether you’re trading USDJPY trends, Gold XAUUSD, or Forex pairs, this indicator helps you spot
Relative Outperformance + EMA Trend Filter (Long Only)Relative Outperformance based on underlying and EMA based trend filtering
Max Trend Master Pro + Energy MA [SYNC & TRADE]Max Trend Master Pro + Energy MA: Revolutionary Trend Indicator
Max Trend Master Pro + Energy MA is a breakthrough indicator for TradingView, representing a **new wave** in market analysis: integrating physical laws (conservation of energy for kinetic and potential price dynamics) with AI elements like Markov chains for trend prediction and K-Means clustering for volatility regimes. This isn't just a tool—it's a **new perspective** on trading, where price is viewed as an energy system, and adaptive EMAs "stick" to extremes in real-time, forecasting shifts with probabilistic accuracy. No one else offers this: physics meets machine learning to uncover hidden energies, divergences, and breakouts before they manifest.
**What makes it a new wave?**
In an era where standard indicators (like simple EMAs or RSI) lag behind the market, Max Trend Master introduces an **energy approach**: price isn't random fluctuations, but a balance of kinetic energy (momentum from volume and speed) and potential (accumulated "height" from baseline). This wave is inspired by physics but tailored for trading: the indicator calculates "mass" (volume delta), "speed" (price change), and "height" (deviation from SMA), creating Energy MAs that react to real market forces. Add Markov chains—probabilistic AI for forecasting states (from strong bull to bear) based on historical transitions—and K-Means, which online-learns to classify the market (CALM, NORMAL, VOLATILE, EXTREME). This is the wave of "smart" trading: not reacting to the past, but anticipating the future with 35%+ accuracy boost in backtests on BTC/USD compared to classics.
**New perspective on analysis:**
Traditional indicators focus on price/volume, ignoring "energy"—the hidden momentum leading to reversals. Here, the perspective is broader: the market as a physical system where energy is conserved but transforms (KE to PE and vice versa). Adaptive EMAs aren't fixed—they "stick" to highs/lows, auto-selecting periods to touch extremes, with adaptation speed for volatility. Markov adds a predictive analytics perspective: transition matrix forecasts with confidence thresholds (e.g., 80% for growth). K-Means—a regime perspective: dynamic clustering by volatility, volume, and energy to adapt strategies (scalp in VOLATILE, swing in CALM). Integration with ADX, SuperTrend, and energy divergences yields a composite signal—from -1 (short) to +1 (long), smoothed for reliability.
**Unique features no one else has:**
- **Sticking adaptive EMAs:** Dynamically cling to extremes, minimizing lag—ideal for crypto/forex.
- **Markov chains:** AI trend prediction with probabilities (↗ 85%), alerts for strong shifts.
- **K-Means clustering:** Online learning for market regimes, optimizing for volatility.
- **Energy components:** Visualization of KE/PE, divergences (diamonds for reversals), breakouts (cross for momentum).
- **Info panel:** Emojis for trend (🟢 LONG), speed (⚡ FAST), energy (🔋), Markov, and regime—instant overview.
Visuals: Colored trend backgrounds, signal arrows, SuperTrend lines for stops. Alerts: on entries, divergences, regime changes, Markov predictions.
**Why does it dominate?** Physics + AI = edge in trends. Add it now and see the market in a new way! 🚀
QX Expert Imtiazz 3.0.4 PROQX Expert Imtiazz 3.0.4 (qx_expert_imtiaz)
is a high-precision 1-minute binary scalping indicator, built using a hybrid trading strategy that combines momentum, structure, volume, and zone-based logic.
This indicator is specially designed for fast decision-making and short expiry trades in volatile market conditions.
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🔹 Core Concepts Used
This indicator integrates multiple professional trading concepts into a single system:
QQE (Quantitative Qualitative Estimation)
Identifies momentum shifts and trend strength with reduced noise.
EMA Trend Filter
Confirms market direction and avoids counter-trend entries.
Smart Zones (Base & Reaction Zones)
Detects key price areas where reversals or continuations are most likely.
Volume Confirmation
Filters weak signals and confirms real market participation.
Footprint Logic (Price Acceptance / Rejection)
Analyzes candle behavior to validate buy/sell pressure.
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Smart MA Zone Crossover [HMA-EMA]Smart MA Zone Crossover is a trend-following indicator designed to capture early momentum shifts using the crossover between Hull Moving Average (HMA) and Exponential Moving Average (EMA).
The indicator visually highlights trend direction using a dynamic colored zone, making it easy to identify bullish and bearish market phases at a glance.
🔸 Step 1: Moving Average Calculation
HMA (Hull Moving Average) → Faster, smoother, reacts quickly to price
EMA (Exponential Moving Average) → Stable trend reference
Both MA lengths are **fully adjustable** from the settings panel.
🔸 Step 2: Trend Detection
Bullish Trend: HMA is above EMA
Bearish Trend: HMA is below EMA
The area between the two averages is filled with color to visually represent the current trend state.
Step 3: Signal Generation (Non-Repainting)
Signals are generated **only on confirmed crossovers**:
✅ BUY Signal- HMA crosses above EMA
❌ SELL Signal-HMA crosses belowEMA
Signals do **not repaint** and appear only once per crossover.
🔸 Step 4: Visual Customization
Users can enable or disable:
* Moving average lines
* Colored MA zone fill
* Buy/Sell arrows
* Buy/Sell text labels
This allows the indicator to remain **minimal or detailed**, depending on user preference.
🔹 Key Features
✔ Non-repainting logic
✔ Clean crossover-based signals
✔ Customizable HMA & EMA lengths
✔ Optional MA zone fill
✔ Buy/Sell arrows & labels
✔ Works on all timeframes
✔ Beginner-friendly & scalper-ready
🔹 Best Use Cases
* Trend confirmation
* Momentum trading
* Scalping & intraday trading
* Swing trend filtering
For best results, combine with:
* Support & resistance
* Volume
* Higher-timeframe trend
🔹 Disclaimer
This indicator is provided for **educational purposes only**.
It is **not financial advice**. Always backtest and use proper risk management before trading live markets.
Trend Core Strategy v1.0 - GUMROADLog Regression Channel Pro Strategy
This is a trend-following pullback strategy built for TradingView (Pine Script v6).
It uses logarithmic regression channels to define the market’s primary trend, and looks for low-risk pullback entries within strong trending conditions.
Momentum and trend strength filters are applied to avoid ranging or weak markets.
This strategy is designed to be used when the market is clearly trending, not during choppy or sideways price action.
Best Used When
Strong uptrend or downtrend is present
Price is pulling back toward the regression channel
Volatility is sufficient (ADX confirms trend strength)
Suitable for 1H / 4H timeframes
Commonly used on BTC, ETH, and major crypto pairs
Key Characteristics
Non-repainting logic
Volatility-based risk management (ATR)
Designed for realistic backtesting
No martingale, no grid, no over-optimization
Gumroad Disclaimer (3 Lines)
This strategy is provided for educational purposes only and is not financial advice.
Trading involves risk, and losses may occur.
You are fully responsible for your own trading decisions.
Sniper SuiteSniper Suite is a multi-module trend & momentum toolbox built for disciplined entries.
It combines AlphaTrend, a dynamic MA Resistance line, optional Flow Band / Vegas Tunnel / Guppy Flow, plus ADX + Squeeze + Pinbar veto and a 0–100 Score engine that summarizes conditions into a simple table:
SCORE: strength/quality (0–100)
LIVE: current bar decision (ENTRY / WAIT)
CLOSE: “last confirmed decision” with session-specific logic
What’s inside
AlphaTrend core with optional BUY/SELL markers
MA Resistance (Donchian mid + SMA smoothing)
Optional overlays: Flow Band, Vegas Tunnel, Guppy Flow
Filters:
ADX filter (Soft/Hard/Off, with early-pass option)
Squeeze Momentum (LazyBear-style) influence + penalty
Bear Pinbar Veto (blocks risky long entries)
Score logic (0–100)
The score blends:
AlphaTrend alignment + slope
Price vs MA Resistance + slope/dist
Selected module contribution (Flow/Vegas/Guppy)
Optional Squeeze “power” contribution
Then applies penalties and optional ADX scaling.
Market/session behavior
BIST: after 17:55 (Istanbul time), the CLOSE cell can preview the LIVE decision (visual-only).
Crypto (Gate): uses a 03:00 daily base close for the CLOSE decision and performs a single 07:00 check:
If CLOSE = ENTRY at 03:00 but Score < Gate Threshold at 07:00, it is downgraded to WAIT.
If CLOSE = WAIT at 03:00, it will not upgrade later (by design).
Optional Reclaim can be enabled to require price reclaiming a reference level before keeping ENTRY.
Alerts
Includes an alert condition for confirmed Score threshold cross-up (when LIVE decision becomes ENTRY on bar close).
Disclaimer: This indicator is for informational/educational purposes only and does not constitute financial advice. Always manage risk.
ES Signals (Sequencer Labels)Here i am using EMA crossover systems to catch the market. One can use this with their own choice.
Using Some simple rules, we can get some good quality trades! You can see for yourself before trading.
=== HOW TO USE THIS INDICATOR ===
1) Choose your market and timeframe. ( according to their need )
2) Choose if the strategy is long-only or bidirectional.
Don't overthink nobody knows the best answer of market. We're going to test and find out.
After you find a good combination, set up an alert system with the default Exponential Moving Average indicators provided by TradingView.
=== TIPS ===
Change the Time frame according to their need.
i) for intraday 3-5 minute.
ii) 60 minute for 3-4 days View
iii) Daily for positional
Try a Long-Only strategy to see if that performs better.
Ace Algo [Anson5129]🏆 Exclusive Indicator: Ace Algo
📈 Works for stocks, forex, crypto, indices
📈 Easy to use, real-time alerts, no repaint
📈 No grid, no martingale, no hedging
📈 One position at a time
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Ace Algo
A trend-following TradingView strategy using a confluence of technical indicators and time-based rules for structured long/short entries and exits:
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Parameters Explanation
Moving Average Length
Indicates the number of historical data points used for the average price calculation.
Shorter = volatile (short-term trends); longer = smoother (long-term trends, less noise).
Default: 20
Entry delay in bars
After a trade is closed, delay the next entry in bars. The lower the number, the more trades you will get.
Default: 4
Take Profit delay in bars
After a trade is opened, delay the take profit in bars. The lower the number, the more trades you will get.
Default: 3
Enable ADX Filter
No order will be placed when ADX < 20
Default: Uncheck
Block Period
Set a block period during which no trading will take place.
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Entry Condition:
Only Long when the price is above the moving average (Orange line).
Only Short when the price is below the moving average (Orange line).
* Also, with some hidden parameter that I set in the backend.
Exit Condition:
When getting profit:
Trailing Stop Activates after a position has been open for a set number of bars (to avoid premature exits).
When losing money:
In a long position, when the price falls below the moving average, and the conditions for a short position are met, the long position will be closed, and the short position will be opened.
In a short position, when the price rises above the moving average, and the conditions for a long position are met, the short position will be closed, and the long position will be opened.
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How to get access to the strategy
Read the author's instructions on the right to learn how to get access to the strategy.
Hitjo Swing IndicatorTL;DR – READ THIS FIRST
This is a TWO-INDICATOR SYSTEM. Both indicators must be used together.
Hitjo Zones TF = WHERE you are allowed to trade
Hitjo Swing Trend = WHEN you are allowed to trade
Rules:
Only take BUY signals from Hitjo Swing Trend inside DEMAND zones from Hitjo Zones TF
Only take SELL signals from Hitjo Swing Trend inside SUPPLY zones from Hitjo Zones TF
Ignore signals when structure and timing do not align
Recommended setup: 1H chart with 4H or Daily zones.
Hitjo Swing Trading System
(Hitjo Zones TF + Hitjo Swing Trend)
This TradingView system combines higher-timeframe Supply & Demand zones with momentum-based swing entries to create a clean, rule-based swing trading framework.
It is designed for traders who want fewer but higher-quality trades, clear market structure, objective entry timing, and reduced overtrading.
Required Indicators
Hitjo Zones TF (Structure)
Automatically draws Supply & Demand zones using a selectable higher timeframe.
Displays SUPPLY and DEMAND labels when price enters key zones.
Defines where trades are allowed.
Do not trade based on zones alone.
Hitjo Swing Trend (Timing)
Displays BUY and SELL labels using EMA structure, momentum, and higher-timeframe trend.
Plots ATR-based stop loss and target levels.
Defines when to enter trades.
Do not take BUY or SELL signals outside zones.
Core Concept
Hitjo Zones TF tells you WHERE to trade.
Hitjo Swing Trend tells you WHEN to trade.
If both are not aligned, there is no trade.
Trading Rules
Long Trades
Take a BUY only when all conditions are true:
Price is inside or just above a DEMAND zone from Hitjo Zones TF
Higher-timeframe trend is bullish
A BUY label appears from Hitjo Swing Trend
There is room to target without immediately hitting resistance
Short Trades
Take a SELL only when all conditions are true:
Price is inside or just below a SUPPLY zone from Hitjo Zones TF
Higher-timeframe trend is bearish
A SELL label appears from Hitjo Swing Trend
There is room to target without immediately hitting support
Common Mistakes to Avoid
Buying just because DEMAND appears
Selling just because SUPPLY appears
Taking BUY or SELL signals in the middle of the chart
Counter-trend trading
Forcing trades on every signal
Stops and Targets
Hitjo Swing Trend plots:
Stop Loss using ATR (red)
Target using ATR (green)
These are visual guides only, not broker orders.
Recommended Setup
Chart timeframe: 1H
Zone timeframe (Hitjo Zones TF): 4H or Daily
Fast / Slow EMA: 8 / 21
ATR Stop / Target: 1.5 / 3.0
Remember This
DEMAND does not mean BUY
SUPPLY does not mean SELL
DEMAND + BUY = Long
SUPPLY + SELL = Short
Disclaimer
This system does not predict tops or bottoms and does not guarantee profits.
It is designed to help traders wait for alignment, reduce low-quality trades, and trade with structure.
Always manage risk appropriately.
TradingView Search Keywords
Supply Demand
Swing Trading
EMA Strategy
Multi Timeframe
Trend Following
Support Resistance
Momentum Trading
ATR Stop Loss
Crypto Trading
Stock Trading
8/20 Pyramid. Adjustable Hard stopsEnters a trade on flip down or flip up of the EMAS, closes below the slow ema. Adds on tag of the fast ema.
Credit Spreads Swing TradingCredit Spreads Swing Trading
Summary
Credit Spreads Swing Trading is a decision-support indicator designed to identify higher-probability put credit spread (PCS) and call credit spread (CCS) opportunities using trend alignment, momentum shifts, and volatility-aware structure.
The indicator works on any ticker and any timeframe, and includes multiple built-in ticker presets that automatically adjust internal parameters. While it will generate signals on all charts, the on-chart table displays a recommended context to indicate when the current symbol, timeframe, and session conditions match the optimized configuration.
Core Signal Logic
Signals are generated when multiple conditions align:
Momentum shift-
Identifies directional momentum changes that often precede short-term swing continuation.
Trend confirmation-
Ensures trades align with the prevailing trend and avoids counter-trend entries.
Higher-timeframe bias
Incorporates Daily and 4-Hour EMA structure to bias trades in the dominant market direction.
Relative volume filter-
Confirms participation to reduce low-quality signals during thin or inactive periods.
Cooldown logic
Enforces spacing between signals to prevent clustering and over-trading.
Credit Spread Direction & Structure
PCS (Put Credit Spread) signals are generated in neutral to bullish conditions
CCS (Call Credit Spread) signals are generated in neutral to bearish conditions
When a signal triggers, the script calculates a recommended short strike using recent pivot structure and displays it visually on the chart. This level is intended as a reference point for structuring a credit spread, not as an execution instruction.
On-Chart Table (Informational)
The indicator includes a compact table that displays:
Current signal type (PCS or CCS)
Recommended sell-leg strike
Average spacing between historical signals
How often prior sell-legs were crossed before the next signal (visual reference only)
Recommended context status
The recommended context row indicates whether the chart matches the optimized setup:
1-Hour timeframe
Extended hours enabled
Selected ticker preset matches the chart symbol (unless set to Auto)
This recommendation is informational only. Signals are not blocked when the chart does not match the recommended context.
Ticker Presets & Flexibility
Users can select from multiple built-in ticker presets (or Auto), which adjust internal parameters such as:
Momentum sensitivity
Volatility handling
Trend responsiveness
This allows the indicator to adapt to different instruments while maintaining a consistent signal framework.
Important Notes
This indicator does not place trades and does not include automated backtesting or performance reporting.
All statistics and visual markers are for manual review and contextual analysis only.
Signals are intended for experienced traders who understand options risk, assignment risk, and proper position sizing.
Intended Use
Credit Spreads Swing Trading is intended as a research and decision-support tool for traders who sell option premium and want structured, rules-based signals aligned with trend, momentum, and volume.
It should be used alongside independent analysis and disciplined risk management.






















