Set & Forget – AlexG Club – ChecklistThe Set & Forget – AlexG Club – Checklist is built to help traders apply the well-known Set and Forget strategy from the famous AlexG (falexg) and the G-Club community.
This indicator displays a clear, on-chart checklist table of trading confluences. Each confluence adds to a total score, making it easier to objectively evaluate whether a trade setup aligns with the AlexG / G-Club strategy.
✅ Features:
• Customizable confluence checklist (trend alignment, S/R levels, candlestick signals, momentum, etc.)
• Automatic scoring system to calculate the Set & Forget readiness of a trade
• Clean table visualization on your chart
• Flexible thresholds — you decide how many confluences equal a strong setup
🚀 How to Use:
Add the indicator to your chart.
Adjust the confluences to reflect your own AlexG / G-Club inspired checklist.
Use the total score to validate trades before you pull the trigger.
⚠️ Disclaimer: This indicator is for educational purposes only. It is not financial advice and does not guarantee profitability. Always manage your risk and test before using live.
Moyenne mobile exponentielle (EMA)
Goat Multi-TF EMAMulti-TF EMA made by Goat.
Used in most of his trades and analysis to catch support & resistance.
Select wich EMA you want directly in your settings to not have tons of indicators only for EMAs.
Multiple Colored Moving AveragesMULTIPLE COLORED MOVING AVERAGES - USER GUIDE
DISCLAIMER
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Both the code and this documentation were created heavily using artificial intelligence. I'm lazy...
This indicator was inspired by repo32's "Moving Average Colored EMA/SMA" indicator. *
What is this indicator?
-----------------------
This is a TradingView indicator that displays up to 4 different moving averages on your chart simultaneously. Each moving average can be customized with different calculation methods, colors, and filtering options.
Why would I use multiple moving averages?
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- See trend direction across different timeframes at once
- Identify support and resistance levels
- Spot crossover signals between fast and slow MAs
- Reduce false signals with filtering options
- Compare how different MA types react to price action
What moving average types are available?
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11 different types:
- SMA: Simple average, equal weight to all periods
- EMA: Exponential, more weight to recent prices
- WMA: Weighted, linear weighting toward recent data
- RMA: Running average, smooth like EMA
- DEMA: Double exponential, reduced lag
- TEMA: Triple exponential, even less lag
- HMA: Hull, fast and smooth combination
- VWMA: Volume weighted, includes volume data
- LSMA: Least squares, based on linear regression
- TMA: Triangular, double-smoothed
- ZLEMA: Zero lag exponential, compensated for lag
How do I set up the indicator?
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Each MA has these settings:
- Enable/Disable: Turn each MA on or off
- Type: Choose from the 11 calculation methods
- Length: Number of periods (21, 50, 100, 200 are common)
- Smoothing: 0-10 levels of extra smoothing
- Noise Filter: 0-5% to ignore small changes
- Colors: Bullish (rising) and bearish (falling) colors
- Line Width: 1-5 pixels thickness
What does the smoothing feature do?
-----------------------------------
Smoothing applies extra calculations to make the moving average line smoother. Higher levels reduce noise but make the MA respond slower to price changes. Use higher smoothing in choppy markets, lower smoothing in trending markets.
What is the noise filter?
--------------------------
The noise filter ignores small percentage changes in the moving average. For example, a 0.3% filter will ignore any MA movement smaller than 0.3%. This helps eliminate false signals from minor price fluctuations.
When should I use this indicator?
---------------------------------
- Trend analysis: See if market is going up, down, or sideways
- Entry timing: Look for price bounces off MA levels
- Exit signals: Watch for MA slope changes or crossovers
- Support/resistance: MAs often act as dynamic levels
- Multi-timeframe analysis: Use different lengths for different perspectives
What are some good settings to start with?
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Conservative approach:
- MA 1: EMA 21 (short-term trend)
- MA 2: SMA 50 (medium-term trend)
- MA 3: SMA 200 (long-term trend)
- Low noise filtering (0.1-0.3%)
Active trading:
- MA 1: HMA 9 (very responsive)
- MA 2: EMA 21 (short-term)
- MA 3: EMA 50 (medium-term)
- Minimal or no smoothing
How do I interpret the colors?
------------------------------
Each MA changes color based on its direction:
- Bullish color: MA is rising (upward trend)
- Bearish color: MA is falling (downward trend)
- Gray: MA is flat or unchanged
What should I look for in crossovers?
-------------------------------------
- Golden Cross: Fast MA crosses above slow MA (bullish signal)
- Death Cross: Fast MA crosses below slow MA (bearish signal)
- Multiple crossovers in same direction can confirm trend changes
- Wait for clear separation between MAs after crossover
How do I use MAs for support and resistance?
---------------------------------------------
- In uptrends: MAs often provide support when price pulls back
- In downtrends: MAs may act as resistance on rallies
- Multiple MAs create support/resistance zones
- Stronger levels where multiple MAs cluster together
Can I use this with other indicators?
-------------------------------------
Yes, it works well with:
- Volume indicators for confirmation
- RSI or MACD for timing entries
- Bollinger Bands for volatility context
- Price action patterns for setup confirmation
What if I get too many signals?
-------------------------------
- Increase smoothing levels
- Raise noise filter percentages
- Use longer MA periods
- Focus on major crossovers only
- Wait for multiple MA confirmation
What if signals are too slow?
-----------------------------
- Reduce smoothing to 0
- Lower noise filter values
- Switch to faster MA types (HMA, ZLEMA, DEMA)
- Use shorter periods
- Focus on the fastest MA only
Which MA types work best in different markets?
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Trending markets: EMA, DEMA, TEMA (responsive to trends)
Choppy markets: SMA, TMA, HMA with smoothing (less whipsaws)
High volatility: Use higher smoothing and noise filtering
Low volatility: Use minimal filtering for better responsiveness
Do I need all the advanced features?
------------------------------------
No. Start with basic settings:
- Choose MA type and length
- Set colors you prefer
- Leave smoothing at 0
- Leave noise filter at 0
Add complexity only if needed to improve signal quality.
How do I know if my settings are working?
-----------------------------------------
- Backtest on historical data
- Paper trade the signals first
- Adjust based on market conditions
- Keep a trading journal to track performance
- Be willing to modify settings as markets change
Can I save different configurations?
------------------------------------
Yes, save different indicator templates in TradingView for:
- Different trading styles (scalping, swing trading)
- Different market conditions (trending, ranging)
- Different instruments (stocks, forex, crypto)
ZenAlgo - MarsThis indicator is a momentum-based oscillator built around a modified RSI calculation and subsequent smoothing with moving averages. It introduces a layered structure where divergences, signal crossovers, histogram dynamics, and multi-timeframe tables all combine into a comprehensive framework. The purpose is not to forecast markets with certainty but to provide structured context on momentum shifts, divergences, and trend bias.
Core Calculation
The base source is the closing price.
From it, relative upward and downward movements are measured over a chosen lookback length (by preset or manual input).
These values are normalized into an oscillator bounded between 0–100, equivalent to a traditional RSI structure.
This oscillator is smoothed by a moving average (SMA by default), producing the main line (MA).
A secondary smoothing (EMA by default) of the MA produces a signal line, against which crossovers are monitored.
Why this structure:
RSI captures momentum imbalance between gains and losses. Smoothing removes noise and makes divergences more stable to identify. Adding a signal line allows crossover events to highlight relative strengthening or weakening momentum phases.
Zones and Visual Guides
Static horizontal levels are placed at 70 (upper bound), 50 (mid-line), and 30 (lower bound).
The region between 30–70 is softly filled to emphasize the neutral zone.
Color changes on the MA line occur depending on whether it is above or below the signal line.
Why these levels:
Values above 70 or below 30 are commonly interpreted as overextended regions. A central 50 line separates positive from negative bias. These anchors allow consistent interpretation of oscillator movements.
Crossover Events
Alerts and conditions are defined for when the MA crosses above or below the signal line.
These are not entry signals by themselves but indicate shifts in relative momentum strength.
Divergence Detection
Divergences are calculated on the smoothed MA rather than raw RSI.
Four conditions are tracked:
Regular bullish (price makes a lower low while MA makes a higher low).
Hidden bullish (price higher low with MA lower low).
Regular bearish (price higher high with MA lower high).
Hidden bearish (price lower high with MA higher high).
Each detected divergence is marked with shapes and labeled "R" (regular) or "H" (hidden).
Why divergences are used:
They highlight when oscillator momentum disagrees with price structure. Regular divergences often suggest exhaustion, while hidden divergences may appear during continuation phases.
RSI & MA Multi-Timeframe Table
A table can be displayed showing RSI and MA values across multiple timeframes (1m, 5m, 15m, 1h, 4h, 1D).
For each, the relationship (Rising, Falling, Neutral) is determined by comparing RSI and MA.
Colors are adjusted depending on value ranges (extreme low, oversold, overbought, etc.).
Added value:
Instead of analyzing divergences or crossovers only on one chart, the table provides a compact overview of aligned or conflicting conditions across timeframes.
Strong and Warning Indications
"Strong" mark (Diamond) appear when the MA is firmly biased above or below 50 and hidden divergence supports the trend.
"Warning" mark (Triangle) appear when bias is strong but a regular divergence forms in the opposite direction.
Shapes mark these conditions, and alerts are available.
Why this distinction:
Hidden divergences often accompany continuation phases, while regular divergences may challenge the prevailing bias. Marking them separately allows the user to distinguish between potential trend reinforcement versus warning conditions.
Signal Table
A separate table summarizes:
Overall trend bias (Bull, Full Bull, Bear, Full Bear, Flat).
Time spent in each key zone.
Current MA trend (Rising, Falling, Flat).
Visual icons and color codes provide quick interpretation.
Time in Zones
The indicator measures how many bars (converted into minutes) the MA has spent:
above 70
above 50
below 50
below 30
These values appear in the signal table.
Why this matters:
Extended time in an extreme zone can show persistent momentum. Quick reversals versus sustained positioning give different context for bias strength.
MA vs Signal Histogram
A histogram plots the difference between MA and signal line, shifted around the 50 level.
Rising differences are shown with brighter coloring, falling differences with faded tones.
This emphasizes whether momentum is accelerating or decelerating.
Daily VWAP Integration
When the MA crosses the 50 level, additional conditions check whether the histogram is aligned and whether price is above or below the daily VWAP.
Only when both momentum bias and VWAP alignment agree are triangle markers shown.
Why VWAP is included:
VWAP serves as an intraday mean reference. Requiring alignment between oscillator momentum and price position relative to VWAP reduces random crossover noise.
Added Value Over Free Indicators
Divergences are calculated on smoothed momentum rather than raw RSI, reducing false positives.
Integration of multi-timeframe tables avoids the need to manually switch charts.
Bias measurement in terms of time spent in zones adds a temporal dimension often missing in basic oscillators.
Combining histogram dynamics with VWAP filtering provides context not present in typical RSI or MA overlays.
Limitations and Disclaimers
Divergences are not predictive on their own; price may continue without respecting them.
Extreme readings (e.g., above 70) can remain extended for long periods, especially in strong trends.
Multi-timeframe aggregation may introduce repainting effects when lower timeframes update faster than higher ones.
Signals must be interpreted in broader market context; the indicator does not provide trade entries or exits by itself.
How to Interpret Values
Above 70: momentum is strongly stretched upward.
Below 30: momentum is strongly stretched downward.
Crossing 50: often marks a structural change in directional bias.
MA rising vs. falling: tracks whether momentum pressure is increasing or decreasing.
Divergence labels: "R" = potential reversal, "H" = potential continuation.
Tables: confirm whether bias is consistent across multiple timeframes.
Best Use
Observe divergences in conjunction with bias tables to understand whether short-term moves align with higher-timeframe conditions.
Treat "Strong" and "Warning" markers as contextual alerts, not direct signals.
Use the histogram and VWAP alignment to filter out weaker crossovers.
Combine with price action and risk management rather than using in isolation.
Liquidation Strategy📈 It enters a long trade when long liquidation spikes above a set threshold.
📉 It enters a short trade when short liquidation drops below the negative threshold.
🧮 It optionally filters entries using an EMA multiplier.
🔁 It exits long when RSI crosses below its smoothed version.
🔄 It exits short when RSI crosses above its smoothed version.
🔗 It requires linking to the Liquidations indicator on Bybit or OKX charts.
[DEM] RMEMA Bars RMEMA Bars is a multi-factor trend confirmation indicator that combines a double-smoothed moving average with momentum, trend direction, and price position analysis to generate color-coded bar signals. The indicator uses an RMA-smoothed EMA (21-period EMA smoothed by 5-period RMA) as its primary trend filter, while incorporating four additional technical conditions: price position relative to recent highs/lows over a 20-period window, Parabolic SAR directional bias, relative positioning of recent highs versus lows, and MACD momentum direction using extended parameters (50/100/21). Green bars appear when price is above SAR, recent highs dominate recent lows, MACD is positive, and the smoothed moving average is rising, while red bars signal the opposite conditions with price below SAR, recent lows dominating, negative MACD, and falling moving average. Purple bars indicate mixed or transitional conditions where not all criteria align, creating a comprehensive visual system that requires multiple technical factors to confirm before signaling strong bullish or bearish conditions.
[DEM] EMA Crossover Signal (With Backtesting) EMA Crossover Signal (With Backtesting) is designed to generate buy and sell signals based on the classic exponential moving average crossover strategy using two configurable EMA periods (default 9 and 21). It also includes a comprehensive backtesting framework to evaluate the historical performance of these signals. The indicator overlays directly on the price chart, plotting signals and displaying performance statistics in a table. The strategy generates buy signals when the shorter EMA crosses above the longer EMA (indicating upward momentum shift) and sell signals when the shorter EMA crosses below the longer EMA (indicating downward momentum shift), while the integrated backtesting system tracks signal accuracy, average returns, signal frequency per month, and total correct predictions for both buy and sell signals over a configurable holding period to help traders evaluate the effectiveness of the crossover parameters.
[DEM] EMA Cloud & Bars EMA Cloud & Bars is designed to provide visual trend analysis by combining two exponential moving averages of different lengths (default 50 and 150) with both a color-coded cloud fill and optional bar coloring to identify market conditions. The indicator plots the two EMAs as semi-transparent lines and fills the area between them with blue when the shorter EMA is above the longer EMA (indicating bullish conditions) or red when the shorter EMA is below the longer EMA (indicating bearish conditions). Additionally, it colors price bars green when price is above the shorter EMA and the shorter EMA is above the longer EMA (strong bullish alignment), red when price is below the shorter EMA and the longer EMA is above the shorter EMA (strong bearish alignment), and purple for all other conditions, providing traders with multiple visual cues for trend direction and strength while offering toggleable options for both the cloud display and bar coloring features.
[DEM] Confirmation Signal (With Backtesting) Confirmation Signal (With Backtesting) is designed to generate buy and sell signals by combining Aroon oscillator analysis with Parabolic SAR positioning, smoothed EMA trend confirmation, and RSI filtering to create high-confidence trading opportunities. It also includes a comprehensive backtesting framework to evaluate the historical performance of these signals. The indicator overlays directly on the price chart, plotting signals and displaying performance statistics in a table while also coloring bars based on market conditions (green for bullish confirmation, red for bearish confirmation, purple for neutral). The strategy generates buy signals when the Aroon Up reaches 100% (new highs) combined with bullish trend confirmations, proper SAR positioning, RSI filters, and adequate time spacing between signals, while sell signals are triggered under opposite conditions, emphasizing signal quality over quantity through multiple confirmation layers and integrated backtesting metrics.
[DEM] Combo Moving Average Combo Moving Average is designed to create a composite trend-following indicator by averaging seven different types of moving averages into a single smoothed line. The indicator overlays directly on the price chart, combining ALMA (Arnaud Legoux Moving Average), EMA (Exponential), HMA (Hull), RMA (Rolling), SMA (Simple), VWMA (Volume Weighted), and WMA (Weighted) moving averages to provide a more robust and less noisy trend signal. The resulting composite moving average changes color dynamically - displaying green when the trend is upward (current value higher than previous) and red when the trend is downward, offering traders a clear visual representation of the overall market direction across multiple moving average methodologies.
Screener EMA200/EMA365_v1Shows status about ema cross.
If ema 200 crosses up the ema 365 shows asc
If ema 200 crosses down the ema 365 shows desc
Stalonte EMA - Stable Long-Term EMA with AlertsStalonte EMA - The Adaptive & Stable EMA - Almost Eternal
Here's why you will love "Stalonte":
The Stalonte (Stable Long-Term EMA) is a highly versatile trend-following tool. Unlike standard EMAs with fixed periods, it uses a configurable smoothing constant (alpha), allowing traders to dial in the exact level of responsiveness and stability they need. Finding the "sweet spot" (e.g., alpha ~0.03) creates a uniquely effective moving average: it is smooth enough to filter out noise and identify safe, high-probability trends, yet responsive enough to provide actionable signals without extreme lag. It includes alerts for crossovers and retests.
Pros and Cons of the Stalonte EMA
Pros:
Unparalleled Adaptability: This is its greatest strength. The alpha input lets you seamlessly transform the indicator from an ultra-slow "trend-revealer" (low alpha) into a highly effective and "safe" trend-following tool (medium alpha, e.g., 0.03), all the way to a more reactive one.
Optimized for Safety & Signal Quality: As you astutely pointed out, with the proper setting (like 0.03), it finds the perfect balance. It provides a smoother path than a standard 20-50 period EMA, which reduces whipsaws and false breakouts, leading to safer, higher-confidence signals.
Superior Trend Visualization: It gives a cleaner and more intuitive representation of the market's direction than many conventional moving averages, making it easier to "see" the trend and stick with it.
Objective Dynamic Support/Resistance: The line created with a medium alpha setting acts as a powerful dynamic support in uptrends and resistance in downtrends, offering excellent areas for entries on retests with integrated alerts.
Cons:
Requires Calibration: The only "con" is that its performance is not plug-and-play; it requires the user to find their optimal alpha value for their specific trading style and the instrument they are trading. This demands a period of testing and customization, which a standard 50-period EMA does not.
Conceptual Hurdle: For traders only familiar with period-based EMAs, the concept of a "smoothing constant" can be initially confusing compared to simply setting a "length."
In summary:
The Stalonte EMA is not a laggy relic. It is a highly sophisticated and adaptable tool. Its design allows for precise tuning, enabling a trader to discover a setting that offers a superior blend of stability and responsiveness—a "sweet spot" that provides safer and often more effective signals than many traditional moving averages. Thank you for pushing for a more accurate and fair assessment.
Use Case Example:
You can combine it with classical EMAs to find the perfect entry.
Penguin Volatility State StrategyThe Penguin Volatility State Strategy is a comprehensive technical analysis framework designed to identify the underlying "state" or "regime" of the market. Instead of just providing simple buy or sell signals, its primary goal is to classify the market into one of four distinct states by combining trend, momentum, and volatility analysis.
The core idea is to trade only when these three elements align, focusing on periods of volatility expansion (a "squeeze breakout") that occur in the direction of a confirmed trend and are supported by strong momentum.
Key Components
The strategy is built upon two main engines
The Volatility Engine (Bollinger Bands vs. Keltner Channels)
This engine detects periods of rapidly increasing volatility. It measures the percentage difference (diff) between the upper bands of Bollinger Bands (which are based on standard deviation) and Keltner Channels (based on Average True Range). During a volatility "squeeze," both bands are close. When price breaks out, the Bollinger Band expands much faster than the Keltner Channel, causing the diff value to become positive. A positive diff signals a volatility breakout, which is the moment the strategy becomes active.
The Trend & Momentum Engine (Multi-EMA System)
This engine determines the market's direction and strength. It uses:
A Fast EMA (e.g., 12-period) and a Slow EMA (e.g., 26-period): The crossover of these two moving averages defines the primary, underlying trend (similar to a MACD).
An Ultra-Fast EMA (e.g., 2-period of ohlc4): This is used to measure the immediate, short-term momentum of the price.
The Four Market States
By combining the Trend and Momentum engines, the strategy categorizes the market into four visually distinct states, represented by the chart's background color. This is the most crucial aspect of the system.
💚 Green State: Strong Bullish
The primary trend is UP (Fast EMA > Slow EMA) AND the immediate momentum is STRONG (Price > Fast EMA).
Interpretation: This represents a healthy, robust uptrend where both the underlying trend and short-term price action are aligned. It is considered the safest condition for taking long positions.
❤️ Red State: Strong Bearish
Condition: The primary trend is DOWN (Fast EMA < Slow EMA) AND the immediate momentum is WEAK (Price < Fast EMA).
Interpretation: This represents a strong, confirmed downtrend. It is considered the safest condition for taking short positions.
💛 Yellow State: Weakening Bullish / Pullback
Condition: The primary trend is UP (Fast EMA > Slow EMA) BUT the immediate momentum is WEAK (Price < Fast EMA).
Interpretation: This is a critical warning signal for bulls. While the larger trend is still up, the short-term price action is showing weakness. This could be a minor pullback, a period of consolidation, or the very beginning of a trend reversal. Caution is advised.
💙 Blue State: Weakening Bearish / Relief Rally
Condition: The primary trend is DOWN (Fast EMA < Slow EMA) BUT the immediate momentum is STRONG (Price > Fast EMA).
Interpretation: This signals that a downtrend is losing steam. It often represents a short-covering rally (a "bear market rally") or the first potential sign of a market bottom. Bears should be cautious and consider taking profits.
How the Strategy Functions
The strategy uses these four states as its foundation for making trading decisions. The entry and exit arrows (Long, Short, Close) are generated based on a set of rules that can be customized by the user. For instance, a trader can configure the strategy to
Only take long trades during the Green State.
Require a confirmed volatility breakout (diff > 0) before entering a trade.
Use the "RSI on Diff" indicator to ensure that the breakout is supported by accelerating momentum.
Summary
In essence, the Penguin Volatility State Strategy provides a powerful "dashboard" for viewing the market. It moves beyond simple indicators to offer a contextual understanding of price action. By waiting for the alignment of Trend (the State), Volatility (the Breakout), and Momentum (the Acceleration), it helps traders to identify higher-probability setups and, just as importantly, to know when it is better to stay out of the market.
License / disclaimer
© waranyu.trkm — MIT License. Educational use only; not financial advice.
VWAP Trend Strategy (Intraday) [KedarArc Quant]Description:
An intraday strategy that anchors to VWAP and only trades when a local EMA trend gate and a volume participation gate are both open. It offers two entry templates—Cross and Cross-and-Retest—with an optional Momentum Exception for impulsive moves. Exits combine a TrendBreak (structure flips) with an ATR emergency stop (risk cap).
Updates will be published under this script.
Why this merits a new script
This is not a simple “VWAP + EMA + ATR” overlay. The components are sequenced as gates and branches that *change the trade set* in ways a visual mashup cannot:
1. Trend Gate first (EMA fast vs. slow on the entry timeframe)
Counter-trend VWAP crosses are suppressed. Many VWAP scripts fire on every cross; here, no entry logic even evaluates unless the trend gate is open.
2. Participation Gate second (Volume SMA × multiplier)
This gate filters thin liquidity moves around VWAP. Without it, the same visuals would produce materially more false triggers.
3. Branching entries with structure awareness
* Cross: Immediate VWAP cross in the trend direction.
* Cross-and-Retest: Requires a revisit to VWAP vicinity within a lookback window (recent low near VWAP for longs; recent high for shorts). This explicitly removes first-touch fakeouts that a plain cross takes.
* Momentum Exception (optional): A quantified body% + volume condition can bypass the retest when flow is impulsive—intentional risk-timing, not “just another indicator.”
4. Dual exits that reference both anchor and structure
* TrendBreak: Close only when price loses VWAP and EMA alignment flips.
* ATR stop: Placed at entry to cap tail risk.
These exits complement the entry structure rather than being generic stop/target add-ons.
What it does
* Trades the session’s fair value anchor (VWAP), but only with local-trend agreement (EMA fast vs. slow) and sufficient participation (volume filter).
* Lets you pick Cross or Cross-and-Retest entries; optionally allow a fast Momentum Exception when candles expand with volume.
* Manages positions with a structure exit (TrendBreak) and an emergency ATR stop from entry.
How it works (concepts & calculations)
* VWAP (session anchor):
Standard VWAP of the active session; entries reference the cross and the retest proximity to VWAP.
* Trend gate:
Long context only if `EMA(fast) > EMA(slow)`; short only if `EMA(fast) < EMA(slow)`.
A *gate*, not a trigger—entries aren’t considered unless this is true.
* Participation (volume) gate:
Require `volume > SMA(volume, volLen) × volMult`.
Screens out low-participation wiggles around VWAP.
Entries:
* Cross: Price crosses VWAP in the trend direction while volume gate is open.
* Cross-and-Retest: After crossing, price revisits VWAP vicinity within `lookback` (recent *low near VWAP* for longs; recent *high near VWAP* for shorts).
* Momentum Exception (optional): If body% (|close−open| / range) and volume exceed thresholds, enter without waiting for the retest.
Exits:
* TrendBreak (structure):
* Longs close when `price < VWAP` and `EMA(fast) < EMA(slow)` (mirror for shorts).
* ATR stop (risk):
* From entry: `stop = entry ± ATR(atrLen) × atrMult`.
How to use it ?
1. Select market & timeframe: Intraday on liquid symbols (equities, futures, crypto).
2. Pick entry mode:
* Start with Cross-and-Retest for fewer, more selective signals.
* Enable Momentum Exception if strong moves leave without retesting.
3. Tune guards:
* Raise `volMult` to ignore thin periods; lower it for more activity.
* Adjust `lookback` if retests come late/early on your symbol.
4. Risk:
* `atrLen` and `atrMult` set the emergency stop distance.
5. Read results per session: Optional panel (if enabled) summarizes Net-R, Win%, and PF for today’s session to evaluate
behavior regime by regime.
⚠️ Disclaimer
This script is provided for educational purposes only.
Past performance does not guarantee future results.
Trading involves risk, and users should exercise caution and use proper risk management when applying this strategy.
Liquidation Strategy💣 Liquidation Strategy (High-Level Overview + Usage)
This strategy is built to trade extreme liquidation events on crypto exchanges like Bybit or OKX, using TradingView’s Liquidations indicator as input.
🔧 Core Logic
Long entries: Triggered when long liquidation values spike above a set threshold.
Short entries: Triggered when short liquidation values drop below a negative threshold.
Optional EMA filter ensures liquidation values are significantly above/below their moving average.
RSI crossover logic is used to exit trades.
🛠️ Usage Instructions
Add the Liquidations Indicator: Go to TradingView → Indicators → Search for “Liquidations” under the Financials section.
Select the Correct Chart: Use a chart from Bybit or OKX, as these exchanges provide liquidation data.
Link the Data Sources: In the strategy settings, set: Long Liquidation Data to the long liquidation series from the indicator. Short Liquidation Data to the short liquidation series.
Overlay the Strategy: You can overlay this strategy directly on the Liquidations indicator for better visual alignment.
RSI Momentum Trend MM with Risk Per Trade [MTF]This is a comprehensive and highly customizable trend-following strategy based on RSI momentum. The core logic identifies strong directional moves when the RSI crosses user-defined thresholds, combined with an EMA trend confirmation. It is designed for traders who want granular control over their strategy's parameters, from signal generation to risk management and exit logic.
This script evolves a simple concept into a powerful backtesting tool, allowing you to test various money management and trade management theories across different timeframes.
Key Features
- RSI Momentum Signals: Uses RSI crosses above a "Positive" level or below a "Negative" level to generate trend signals. An EMA filter ensures entries align with the immediate trend.
- Multi-Timeframe (MTF) Analysis: The core RSI and EMA signals can be calculated on a higher timeframe (e.g., using 4H signals to trade on a 1H chart) to align trades with the larger trend. This feature helps to reduce noise and improve signal quality.
Advanced Money Management
- Risk per Trade %: Calculate position size based on a fixed percentage of equity you want to risk per trade.
- Full Equity: A more aggressive option to open each position with 100% of the available strategy equity.
Flexible Exit Logic: Choose from three distinct exit strategies to match your trading style
- Percentage (%) Based: Set a fixed Stop Loss and Take Profit as a percentage of the entry price.
- ATR Multiplier: Base your Stop Loss and Take Profit on the Average True Range (ATR), making your exits adaptive to market volatility.
- Trend Reversal: A true trend-following mode. A long position is held until an opposite "Negative" signal appears, and a short position is held until a "Positive" signal appears. This allows you to "let your winners run."
Backtest Date Range Filter: Easily configure a start and end date to backtest the strategy's performance during specific market periods (e.g., bull markets, bear markets, or high-volatility periods).
How to Use
RSI Settings
- Higher Timeframe: Set the timeframe for signal calculation. This must be higher than your chart's timeframe.
- RSI Length, Positive above, Negative below: Configure the core parameters for the RSI signals.
Money Management
Position Sizing Mode
- Choose "Risk per Trade" to use the Risk per Trade (%) input for precise risk control.
- Choose "Full Equity" to use 100% of your capital for each trade.
- Risk per Trade (%): Define the percentage of your equity to risk on a single trade (only works with the corresponding sizing mode).
SL/TP Calculation Mode
Select your preferred exit method from the dropdown. The strategy will automatically use the relevant inputs (e.g., % values, ATR Multiplier values, or the trend reversal logic).
Backtest Period Settings
Use the Start Date and End Date inputs to isolate a specific period for your backtest analysis.
License & Disclaimer
© waranyu.trkm — MIT License.
This script is for educational purposes only and should not be considered financial advice. Trading involves significant risk, and past performance is not indicative of future results. Always conduct your own research and risk assessment before making any trading decisions.
Gann Fan Strategy [KedarArc Quant]Description
A single-concept, rule-based strategy that trades around a programmatic Gann Fan.
It anchors to a swing (or a manual point), builds 1×1 and related fan lines numerically, and triggers entries when price interacts with the 1×1 (breakout or bounce). Management is done entirely with the fan structure (next/previous line) plus optional ATR trailing.
What TV indicators are used
* Pivots: `ta.pivothigh/ta.pivotlow` to confirm swing highs/lows for anchor selection.
* ATR: `ta.atr` only to scale the 1×1 slope (optional) and for an optional trailing stop.
* EMA: `ta.ema` as a trend filter (e.g., only long above the EMA, short below).
No RSI/MACD/Stoch/Heikin/etc. The logic is one coherent framework: Gann price–time geometry, with ATR as a scale and EMA as a risk filter.
How it works
1. Anchor
* Auto: chooses the most recent *confirmed* pivot (you control Left/Right).
* Manual: set a price and bar index and the fan will hold that point (no re-anchoring).
* Optional Re-anchor when a newer pivot confirms.
2. 1×1 Slope (numeric, not cosmetic)
* ATR mode: `1×1 = ATR(Length) × Multiplier` (adapts to volatility).
* Fixed mode: `ticks per bar` (constant slope).
Because slope is numeric, it doesn’t change with chart zoom, unlike the drawing tool.
3. Fan Lines
Builds classic ratios around the 1×1: 1/8, 1/4, 1/3, 1/2, 1/1, 2/1, 3/1, 4/1, 8/1.
4. Signals
* Breakout: cross of price over/under the 1×1 in the EMA-aligned direction.
* Bounce (optional): touch + reversal across the 1×1 to reduce whipsaw.
5. Exits & Risk
* Take-profit at the next fan line; Stop at the previous fan line.
* If a level is missing (right after re-anchor), a fallback Risk-Reward (RR) is used.
* Optional ATR trailing stop.
Why this is unique
* True numeric fan: The 1×1 slope is calculated from ATR or fixed ticks—not from screen geometry—so it is scale-invariant and reproducible across users/timeframes.
* Deterministic anchor logic: Uses confirmed pivots (with your L/R settings). No look-ahead; anchors update only when the right bars complete.
* Fan-native trade management: Both entries and exits come from the fan structure itself (with a minimal ATR/EMA assist), keeping the method pure.
* Two entry archetypes: Breakout for momentum days; Bounce for range days—switchable without changing the core model.
* Manual mode: Lock a session’s bias by anchoring to a chosen swing (e.g., day’s first major low/high) and keep the fan constant all day.
Inputs (quick guide)
* Auto Anchor (Left/Right): pivot sensitivity. Higher values = fewer, stronger anchors.
* Re-anchor: refresh to newer pivots as they confirm.
* Manual Anchor Price / Bar Index: fixes the fan (turn Auto off).
* Scale 1×1 by ATR: on = adaptive; off = use ticks per bar.
* ATR Length / ATR Multiplier: controls adaptive slope; start around 14 / 0.25–0.35.
* Ticks per bar: exact fixed slope (match a hand-drawn fan by computing slope ÷ mintick).
* EMA Trend Filter: e.g., 50–100; trades only in EMA direction.
* Use Bounce: require touch + reverse across 1×1 (helps in chop).
* TP/SL at fan lines; Fallback RR for missing levels; ATR Trailing Stop optional.
* Transparency/Plot EMA: visual preferences.
Tips
* Range days: larger pivots (L/R 8–12), Bounce ON, ATR Multiplier \~0.30–0.40, EMA 100.
* Trend days: L/R 5–6, Breakout, Multiplier \~0.20–0.30, EMA 50, ATR trail 1.0–1.5.
* Match the TV Gann Fan drawing: turn ATR scale OFF, set ticks per bar = `(Δprice between anchor and 1×1 target) / (bars) / mintick`.
Repainting & testing notes
* Pivots require Right bars to confirm; anchors are set after confirmation (no look-ahead).
* Signals use the current bar close with TradingView strategy mechanics; real-time vs. bar-close can differ slightly, as with any strategy.
* Re-anchoring legitimately moves the structure when new pivots confirm—by design.
⚠️ Disclaimer
This script is provided for educational purposes only.
Past performance does not guarantee future results.
Trading involves risk, and users should exercise caution and use proper risk management when applying this strategy.
EMA channelThe script builds EMA by high and low. There is a construction by Heikin-Ashi candles, you can also use a multi-timeframe.
RTC EMA/SMA Combo IndicatorRTC Combo indicator with 20 EMA, 50 EMA and 200 SMA
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Slovenský Hybrid (VWAP, Multi MA)Slovenský Hybrid (VWAP, Multi MA) – JS VWAP/MA
Tento indikátor som vytvoril ja, Ján Salma – mentor Akadémie , špeciálne pre slovenský trh. Je navrhnutý tak, aby ho bolo možné používať aj na bezplatnej verzii TradingView a zároveň aby ostal priestor na pridanie ďalších vlastných indikátorov.
👉 Čoskoro pribudne nová verzia, ktorá bude obsahovať ešte viac nástrojov v jednom balíku.
Funkcie a nastavenia:
Indikátor kombinuje viacero kľúčových prvkov technickej analýzy do jedného nástroja:
Multi Moving Averages (MA)
Môžeš zobraziť až 4 rôzne kĺzavé priemery.
Každý MA sa dá zapnúť alebo vypnúť podľa potreby.
Možnosť nastaviť dĺžku periody.
Výber typu: SMA alebo EMA.
Nastavenie zdroja ceny (Close, Open, High, Low, atď.).
Možnosť upraviť farbu a hrúbku čiary pre lepší prehľad.
VWAP (Volume Weighted Average Price)
VWAP sa dá zapnúť alebo vypnúť.
Nastavenie farby a hrúbky čiary.
Výhody indikátora
Jednoduché a prehľadné nastavenia v slovenskom jazyku.
Ideálne pre začiatočníkov aj pokročilých traderov.
Kombinuje viacero indikátorov do jedného, čo šetrí miesto v grafe.
Umožňuje flexibilne prispôsobiť vzhľad podľa vlastného štýlu obchodovania.
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✅ Tento nástroj je výbornou pomôckou pre každého, kto sa chce zamerať na čistý graf, prehľadné nastavenia a efektívne využitie TradingView.
Slovak Hybrid (VWAP, Multi MA) – JS VWAP/MA
This indicator was created by Ján Salma – mentor of the Slovak Academy , especially for the Slovak market. It is designed to work even on the free version of TradingView, while keeping space for additional indicators on your chart.
👉 A new version with more tools combined in one indicator is coming soon!
Features and Settings:
Multi Moving Averages (MA)
Up to 4 customizable moving averages.
Each MA can be turned on/off individually.
Choose between EMA or SMA.
Adjustable length, source, line width, and color.
VWAP (Volume Weighted Average Price)
Can be enabled/disabled.
Adjustable line thickness and color.
Benefits:
Simple and intuitive settings in Slovak language.
Great for both beginners and advanced traders.
Combines multiple indicators into one → saves chart space.
Fully customizable look to fit your trading style.
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✅ A clean, flexible, and easy-to-use indicator for every trader who wants efficiency and clarity in their charts.
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