Gold Sniper V21: M15 Holding MasterGold Sniper Entry (Follow Trend to enter)
My Indicator :
- Clarify the M30 in Up/Down Trend
- Only entry the trade in M1/M5 Timeframe to make a Sniper Entry.
- Indicator will show when to TP before the Trend Change
Multitimeframe
LHAMA MTF Structure & Fibs [LTS]Overview
LHAMA MTF Structure & Fibs is a multi-purpose market structure toolkit that combines current-timeframe structure, higher-timeframe structure, Imbalance/FVG-based order blocks, and automatic Fibonacci retracements into a single chart overlay.
Current-Timeframe Structure
The indicator first maps current-timeframe market structure using swing highs and lows based on a user-defined pivot length (“Time-Horizon”):
Labels swing points as HH , HL , LH , and LL .
Draws BOS (Break of Structure) when price breaks beyond a prior swing.
Optionally identifies CHoCH (Change of Character) when a break occurs against the previous direction.
Lets you choose whether BOS/CHoCH confirmation uses closes or wicks .
Provides options to show/hide swing labels, choose line style (solid/dashed/dotted), and configure bullish/bearish colors.
Higher-Timeframe (HTF) Structure
On top of the local structure, the script builds a higher-timeframe structure map and projects it onto your active chart:
Aggregates price into HTF “bars” (e.g., 4h structure on a 5m chart).
Detects HTF pivots with their own pivot length setting.
Draws HTF BOS/CHoCH lines and labels back on the lower timeframe.
Lets you choose wick vs close confirmation for HTF breaks.
Optional “ pending ” HTF levels: lines extended from the latest HTF swing highs/lows that remain “waiting” until price breaks them.
This is designed to make it easier to see how intraday price is moving relative to the dominant higher-timeframe trend.
Order Blocks (Imbalance/FVG-Based)
The indicator detects simple bullish and bearish order blocks based on fair value gaps and prior sweeps:
Identifies bullish/bearish FVGs together with a sweep of a previous low/high.
Creates colored boxes anchored to an “anchor” candle and extends them forward.
Marks boxes as “broken” when price trades inside or through the opposite side.
Broken blocks can have reduced emphasis (more transparent, dashed border) and can optionally be deleted.
Show Nearest Only mode highlights only the closest active bullish and bearish blocks to reduce chart clutter.
Periodic cleanup removes very old boxes to maintain chart responsiveness.
Automatic Fibonacci Levels
The script can draw up to five customizable Fibonacci retracement levels using the HTF structure logic:
Measures swings using HTF pivots and extremes.
Historical mode : measures between two confirmed pivots in one direction.
Live mode : starts from the last confirmed pivot and tracks the evolving extreme; if price reverses through that pivot, measurement can flip to track the new leg.
Each Fib level has its own on/off toggle, ratio value, and color.
Draws a main swing line plus retracement lines projected slightly into the future.
Key Inputs & Customization
Market Structure (Current TF)
Pivot length (“Time-Horizon”).
BOS confirmation: candle close or wicks.
BOS/CHoCH line style and width.
Swing labels on/off and global label size.
Bullish/bearish colors.
Market Structure (HTF)
HTF timeframe selection.
Separate pivot length for HTF swings.
Close vs wick confirmation for HTF breaks.
HTF swing labels and CHoCH labels on/off.
Pending HTF levels: style, color, and visibility.
Order Block Settings
Bullish/bearish box colors and border width.
Maximum number of boxes to display.
Optional deletion of broken blocks.
“Show Nearest Only” filter to highlight the closest active zones.
Max bars to backscan for the anchor candle.
Cleanup frequency for removing very old boxes.
Fibonacci Settings
Show/hide auto Fibs.
Historical vs Live tracking mode.
Five user-defined ratios with individual toggles and colors.
HTF PO3 [Motoneiron]📌 HTF PO3
This indicator plots Higher Timeframe candles directly on a Lower Timeframe chart, allowing traders to clearly observe HTF structure while analyzing execution on LTF.
It provides a deeper understanding of PO3, AMD (Accumulation–Manipulation–Distribution) and HTF→LTF fractal behavior — all without switching charts.
HTF candles include:
Open
Close
High & Low extremes
Real-time remaining time until HTF candle close
You can display from 1 to 10 HTF candles simultaneously, both in automatic mode (where the indicator selects the correct HTF based on your LTF) and manual mode (you pick any HTF you want).
🕒 Automatic HTF Selection (Built-in Timeframe Mapping)
In Automatic Mode the script chooses the appropriate HTF based on the current chart timeframe using the following pairs:
1m → 5m
3m → 15m
5m → 30m
15m → 1H
30m → 2H
45m → 3H
1H → 4H
2H → 6H
3H → 12H
4H → 1D
6H → 1D
12H → 1W
Manual mode allows overriding this mapping and selecting any HTF you prefer.
✨ What this indicator helps you see
Thanks to precise rendering and optional offset, you can easily observe:
HTF Open levels (key ICT reference points)
Extremes forming inside the active HTF candle
Internal AMD structure building inside HTF
Intra-HTF PO3 development
How price behaves around significant HTF zones
This deepens your understanding of market structure, premium/discount arrays, and PO3 mechanics while staying on the lower timeframe.
⚙️ Key Features
Plot 1–10 HTF candles on any LTF
Automatic HTF mapping or fully manual selection
Customizable colors (body/wick)
Adjust candle width, horizontal offset
Time labels: weekday, date, time, month (depends on HTF)
Real-time countdown until HTF close
Optional shifting of labels & candles for visual clarity
Designed for PO3, AMD, ICT concepts, HTF structure breakdowns
King StrategyKing Strategy is an all-in-one TradingView edge for scalpers, swing traders and prop- or hedge-fund pros alike. It blends classic pattern flags with institutional-grade filters to pinpoint high-probability long entries and exits—and displays them with instant visual cues (buy/sell flags, dynamic backgrounds, trend-lines, support/resistance and volume-zones).
Built-in time-of-day and cycle locks help tame overtrading, and every signal lives in a single Inputs panel so you can toggle filters, tweak risk parameters and dial in exits in seconds. Whether you’re chasing 1-minute scalps or planning multi-day swings, S85 keeps you in sync with the market—just fine-tune its tools to match your timeframe, liquidity and comfort with risk.
Volume Analysis🙏🏻 (signed) Volume Analysis is 2 of 2 structural layer / ordeflow analysis scripts, while the first one is Liquidity Analysis. Both are independent so can’t be released together as a single script, but should be used together.
The same math used in this script can be applied to other types of aggressive volume data: non-aggregated flow of market orders, volume traded of put vs call options.
There’s no universal agreement about terminology, but this script works with volumes signed by the aggressor who initiated a transaction. Then these volumes get aggregated by time and a cumulative sum is calculated. Mostly this is widely known as Cumulative Volume Delta.
However this script works with 'inferred' volumes vs the provided ones. It’s the better choice for equities, bonds; neutral choice for currencies; and suboptimal choice for natural and artificial commodities.
Contents:
Output description;
How to analyze & use the outputs;
How to use it together with Liquidity Analysis script;
How did I use both scripts to finish The Leap profitably and skipped many losses.
1. Output description
Color of the CVD line reflects (signed) volume imbalance state: red is negative, purple is neutral, blue is positive.
3 purple lines are lower deviation (lower band), basis (middle band), upper deviation (upper band): used to generate signals by a ruleset that would be explained in a minute
Gray number in the script’s status line is the advised input you may put into Inferred volume multiplier in script’s setting, I will explain it
Vertical dash line marks the moving window end, this way you can be certain over what exact data you see the profile was built.
2. How to analyze & use the outputs
Setup up the script:
Moving window length: set it to ~ ¼ of your data analysis window. E.g if you see on your charts and use ~ 256 bars, set the length to 64.
Inferred volume multiplier: you can easily leave it 256, this is not a critical factor for the math, it’s mostly there if you want to ~ equate inferred volumes with real ones in scale. For this, use the gray number in the script status line, it’s calculated as ratio of long term real volumes weighted avg to long term inferred volumes weighted avg.
Again, changing the inferred volume multiplier won’t affect the math.
Use 2 timeframes: main one and a far lower one 3 steps down, just like on the screenshot.
Find out current volume imbalance state:
As mentioned before, based on CVD line color, it can be negative, neutral or positive. This is the state variable that changes slowly and denies/confirms the signals generated by crossovers of CVD line and 3 purple thresholds.
For this I use my own very fast and lightweight metric that is totally statistically grounded, utilizes temporal information, and calculates volume imbalance without using heavy math like regressions as it’s usually done. It also provides a natural neutral zone, when volume imbalance is not strong enough to be confirmed.
...
CVD-based signals:
First you need to understand what precisely a touch of a threshold is:
Touch: an event when either of these 2 happens:
One CVD datapoint is above the threshold, and the next CVD datapoint is below the threshold
One CVD datapoint is below the threshold, and the next CVD datapoint is above the threshold
These are usually called crossovers/crossunders.
Now with the 3 purple thresholds we follow this logic:
Monitor the last touched threshold;
Once another threshold is touched, here we may generate a signal but only once !, after the first generated signal at that threshold we can’t generate more signals on this threshold, we need to wait when CVD comes to another threshold.
If CVD touches one threshold, and then goes down and touches another threshold downwards, we wait when CVD makes a datapoint above this threshold. When it happens, we register a long signal
If CVD touches one threshold, and then goes up and touches another threshold upwards, we wait when CVD makes a datapoint below this threshold. When it happens, we register a short signal
However, don’t open new trades against the current volume imbalance state. So don’t open shorts when the CDV line is blue, and don’t open longs when CVD line is red.
Btw, this technique I call it “reclaim” of a level/threshold. It can be applied to horizontal levels, and it’s very powerful especially when you fade levels on very volatility assets like BTC. This technique allows you to Not fade a level straight away, but wait when price goes past the level a bit, and then comes back and reclaims it, only there you enter, and moreover you now have a very well defined risk point.
The last part is multi-timeframe logic. Prefer to act when a lower timeframe is Not against the main timeframe. That’s all, no multiple higher timeframes are needed.
3. How to use it together with Liquidity Analysis script.
That script also has a mean to generate its own signals, and another state variable called Liquidity Imbalance.
So now you’re not only looking at volume imbalance but also at liquidity imbalance that would deny/confirm the CVD based signal. You need at least one of these two to favor your long or short.
This is the same logic widely used in HFT, where MM bots cancel/shift/resize orders when book is too onesided And ordeflow is one sided as well.
4. How did I use both scripts to finish The Leap profitably and skipped many losses.
Even tho you can use structural information as your main strategic layer, as many so-called orderflow traders do, I traded in objective style: my fade signals were volatility based in essence, and I used ordeflow for better entries and stops, but most importantly to skip losses.
When ‘both‘ liquidity imbalance and volume imbalance (in their main timeframes) were against my trades, I skipped them all, saving many ~$500 stop losses (that was my basis risk unit for the Leap). Unless I had a very strong objective signal, i.e. confluence of several signals, or just one higher timeframe signal, I did all these skips.
I traded ~ intraweek timeframe, so I was analyzing either the last 230 30min bars or 1380 5min bars. Both Liquidity Analysis and (signed) Volume Analysis scripts were set to moving window length 46 or 276 for either granularity.
I finished the leap with 9% profit and max DD ~ 5%, a bit short of my goal of 12.5%. If not these 2 scripts I would’ve finished a bit above breakeven I think.
,,,
Another thing, I made these 2 scripts invite-only because they are made particularly for trading, particularly for certain types of market data. These are tools adapted for particular use case, not like my other posts with general math entities like Kernel Density Estimation or Kalman filter, that you can take and apply properly on any data you need yourself.
However these are made from general math entities like everything else. ‘All’ the components are available in my other scripts, ideas, and other sources related to me. If you want to reverse-engineer these, you can find all the components you need in my already posted open source work.
∞
Price Action Visualizer (EMA/SMA Color Bars)This custom Pine Script indicator, "EMA(21) vs SMA(30) Color Bars," provides a unique and immediate visual representation of market bias by dynamically painting the candlesticks based on their position relative to two critical moving averages.
💡 What It Does:
The indicator calculates and plots the 21-period Exponential Moving Average (EMA) and the 30-period Simple Moving Average (SMA). It then analyzes the closing price of each candle and colors the entire candlestick (body and border) according to pre-defined trend conditions.
This visualization allows traders to identify strong trend environments versus periods of consolidation or indecision at a glance, removing the need to constantly check the price relationship manually.
🎨 Color Conditions and Meaning:
The indicator uses three distinct color states to signal the market's current momentum:
Color,Condition,Market Interpretation
🟢 GREEN,Closing Price is ABOVE both the 21 EMA AND the 30 SMA.,Strong Bullish Trend: Suggests high momentum and confirmation of an uptrend. Ideal for long bias.
🔴 RED,Closing Price is BELOW both the 21 EMA AND the 30 SMA.,Strong Bearish Trend: Suggests high downward pressure and confirmation of a downtrend. Ideal for short bias.
⚫ GRAY,"Closing Price is in any other state (e.g., between the two MAs, or under one and over the other).","Neutral / Consolidation: Indicates uncertainty, low momentum, or potential trend exhaustion/reversal. Caution is advised."
🔧 Customization Options:The indicator is fully customizable, allowing users to fine-tune the periods to match their preferred trading style (e.g., scalping, swing trading).Dĺžka EMA (Length EMA): Allows you to change the period for the Exponential Moving Average (default is 21).Dĺžka SMA (Length SMA): Allows you to change the period for the Simple Moving Average (default is 30).
@Fhunded PxH/PxLPlots previous day/week highs and lows (PDH/PDL/PWH/PWL) along with daily, weekly, and monthly opens. Each level includes customizable colors, visibility toggles, and adjustable forward-projected line length for clean HTF reference levels.
ADX Indicator with VisualADX Indicator with line and clear number. Identifies when ADX Index is weak, trending, or strong. Depending on timeframe, this indicator can be used to identify early signs of a change in trend.
This is my first time creating an indicator and coding, so please, use it at your own discretion. If anyone has any helpful suggestions, please leave a comment. I can email you the source code so you can revise it. In return, I ask that you share the updated code with me so everyone that uses this indicator can benefit. Thank you! :)
EMA Convergence EstimatorEMA Convergence Estimator is a tool designed to help traders visualize when two key trend EMAs—typically the 50-EMA and 200-EMA—are moving toward or away from each other. By analyzing slope, distance, and rate of convergence, the script estimates how many candles, hours, or days remain until the EMAs potentially touch.
This can be helpful for identifying upcoming trend shifts, tightening market conditions, or periods where momentum may be compressing before a larger move.
🔍 Features
Fast EMA & Slow EMA (default 50 / 200)
EMA distance tracking
Slope-based convergence calculation
Estimated time until EMAs meet in:
📍 Candles
⏱️ Hours
📅 Days
Real-time label panel showing all values
On-chart EMA cross markers
“+” printed directly on bullish EMA crosses
“–” printed directly on bearish EMA crosses
Fully transparent label background so it does not obstruct candles
📈 Use Cases
Identifying when EMAs are tightening (consolidation)
Spotting potential future crossovers earlier than normal indicators
Estimating momentum compression or expansion
Tracking longer-term trend dynamics on any timeframe
⚠️ Notes
The convergence estimate is mathematical, not predictive.
EMAs react to price — they do not forecast it.
Results depend on current slope and can change rapidly as new candles form.
Always use this tool as part of a broader analysis process.
This script is for educational purposes only and does not constitute financial advice.
Liquidity Analysis🙏🏻 Liquidity Analysis is 1 of 2 structural layer / orderflow layer analysis scripts. Both are independent so can’t be released together as a single script, but should be used together. The second one which is called (Signed) Volume Analysis is incoming.
The same math used in this script can be applied on other types of profile-like data: orderbooks, trading volumes of all options for each strike.
Important: market or volume profile, just as orderbooks and options traded volume by strikes, are all liquidity ‘estimates’, showing where liquidity is more likely or less likely to be. These estimates however, especially combined with other info, are really useful and reliable.
This script works with inferred volumes vs the provided one. It's the better choice for equities, bonds; neutral choice for currencies; and suboptimal choice for natural & artificial commodities.
Contents:
Output description;
How to analyze & use the outputs;
How to use it together with upcoming (Signed) Volume Analysis script;
How did I use both scripts to finish The Leap profitably and skipped many losses.
1. Output description
Color of the profile reflects the liquidity imbalance state: red is negative, purple is neutral, blue is positive.
Bar coloring represents history values of liquidity imbalance for backtesting purposes. It can be turned on/off in the script's Style settings.
Two purple vertical lines represent calculated borders of excessive liquidity (HVN), scarce liquidity (LVN), and sufficient liquidity (NVN) zones.
Vertical dash line marks the moving window end, this way you can be certain over what exact data you see the profile was built.
2. How to analyze & use the outputs
Setup up the script:
Moving window length: set it to ~ ¼ of your data analysis window. E.g if you see on your charts and use ~ 256 bars, set the length to 64.
Native tick size multiplier: leave it at 0 to calculate optimal number of rows automatically, or set it manually to match native tick size multiples you desire.
Use 2 timeframes: main one and a far lower one 3 steps down, just like on the screenshot.
Native lot size multiplier allows to round profile rows themselves to nearest multiples of native lot size. I added this just in case any1 needs it.
Find out current liquidity imbalance state:
As mentioned before, based on profile color, it can be negative, neutral or positive. This is the state variable that changes slowly and denies/confirms the signals that would be explained in the minute.
I use my own statistically grounded imbalance metric (no hardcoded/learned thresholds), that unlike mainstream imbalance metrics (e.g orderbook imbalance as sum of bids vs sum of asks) provides a natural neutral zone, when liquidity imbalance is ofc there but not strong enough to be considered.
…
Profile-based signals: look at profile shape vs 2 vertical purple lines.
where profile rows exceed the left purple line, these prices are considered HVN. Too much potential liquidity is there.
where profile rows don’t exceed the right purple line, these prices are considered LVN. Potential thin/lack of liquidity is expected there.
where profile rows are in between these 2 purple lines, these are NVN, or neutral liquidity zones.
Trading ruleset itself is based on couple of simple rules:
Only! Use limit orders hence provide liquidity in LVNs and Only! use stop-market orders hence consume liquidity in HVNs;
These orders should be put in advance ‘only’. This is how you discover the direction or orders: you can only put sell limit orders above you and buy limit orders below you, and you can only put buy stop orders above you, and sell stop orders below you.
This is really it. It may look weird, but once you just try to follow these 2 rules letter by letter for 1 hour, you’ll see how liquidity trading works.
Now once you know that, just don’t open new trades against the liquidity imbalance state. So don’t open shorts when the profile is blue, and don’t open longs when it’s red.
The last part is multi-timeframe logic. Prefer to act when a lower timeframe is Not against the main timeframe. That’s all, no multiple higher timeframes are needed.
3. How to use it together with upcoming (Signed) Volume Analysis script.
That upcoming script would also have a mean to generate its own signals, and another state variable called volume imbalance.
So now you’re not only looking at liquidity imbalance but also at volume imbalance that would deny/confirm a profile based signal. You need at least one of these to favor your long or short.
This is the same logic widely used in HFT, where MM bots cancel/shift/resize orders when book is too onesided And ordeflow is one sided as well.
4. How did I use both scripts to finish The Leap profitably and skipped many losses.
Even tho you can use structural information as your main strategic layer, as many so-called orderflow traders do, I traded in objective style: my fade signals were volatility based in essence, and I used ordeflow for better entries and stops, but most importantly to skip losses.
When ‘both‘ liquidity imbalance and volume imbalance (in their main timeframes) were against my trades, I skipped them all, saving many ~$500 stop losses (that was my basis risk unit for the Leap). Unless I had a very strong objective signal, i.e confluence of several signals, or just one higher timeframe signal, I did all these skips.
I traded ~ intraweek timeframe, so I was analyzing either the last 230 30min bars or 1380 5min bars. Both Liquidity Analysis and (signed) Volume Analysis scripts were set to moving window length 46 or 276 for either granulary.
I finished the leap with 9% profit and max DD ~ 5%, a bit short of my goal of 12.5%. If not these 2 scripts I would’ve finished a bit above breakeven I think.
∞
Smart Money Time by TMUSMT-Integrated Institutional Structure
This solution addresses a critical limitation in retail technical analysis: Fractal Blindness. While standard indicators operate linearly on a single timeframe, this script utilizes a Synchronous Multi-Timeframe (MTF) Architecture combined with SMT (Smart Money Time) logic to overlay higher-order market structure directly onto your execution chart.
It is engineered to align your entry triggers with the dominant institutional trend, effectively filtering out counter-trend noise that often leads to liquidity sweeps.
Core Technology: The "Fractal-Sync" Engine
1. Hierarchical Trend Propagation (MTF Logic) The script performs a real-time request.security analysis of user-selected higher timeframes to determine the "True State" of the market.
The Mechanism: Instead of repainting historical data, the algorithm uses a Step-Locked logic. It projects the confirmed Swing Highs and Lows of the Higher Timeframe (e.g., 4H) onto your Lower Timeframe (e.g., 5m or 15m).
Practical Value: You instantly visualize the "Big Picture" bias without switching tabs, ensuring your local trades are aligned with the global flow.
2. SMT-Grade Pivot Detection Integrating concepts from Smart Money analysis, the indicator identifies Key Swing Points that have a high probability of defense by large operators.
Technique: By calculating volatility-adjusted deviations (ATR) across multiple timeframes, the script distinguishes between a standard "pullback" and a genuine Structure Shift (MSS) or Break of Structure (BOS).
Benefit: It visually separates weak internal structure (inducement) from strong external structure (protected levels).
Technical Specifications & Filters
To satisfy strict stability requirements and provide objective signals, the engine incorporates unique validation methods:
Volatility Normalization: Structure breaks are validated against a dynamic ATR threshold. This ensures that low-volume consolidation does not trigger false structural resets.
Candle-Close Validation Protocol: A level is considered breached only if the candle body closes beyond the pivot. This filters out "Wick Fakeouts" and Stop-Hunts often seen during news events.
Conflict Resolution: When the Lower Timeframe trend contradicts the Higher Timeframe structure, the indicator visualizes this as a "Retracement Phase," advising caution.
Operational Workflow
This tool acts as a Market Context Filter, not a simple signal generator:
Trend Alignment: Use the visual cues to instantly recognize the dominant institutional flow.
Zone Identification: The script automatically plots "Strong Lows" (Invalidation Points) and "Weak Highs" (Targets).
Execution: Seek entries on your timeframe only when the higher timeframe structure (shown by this script) confirms the direction.
Note for Professional Use: This script is designed for precision execution. It minimizes chart clutter by displaying only confirmed structural points, providing a clean, logic-driven workspace for objective decision-making.
Trend Following $BTC - Multi-Timeframe Structure + ReversTREND FOLLOWING STRATEGY - MULTI-TIMEFRAME STRUCTURE BREAKOUT SYSTEM
Strategy Overview
This is an enhanced Turtle Trading system designed for cryptocurrency spot trading. It combines Donchian Channel breakouts with multi-timeframe structure filtering and ATR-based dynamic risk management. The strategy trades both long and short positions using reverse signal exits to maximize trend capture.
Core Features
Multi-Timeframe Structure Filtering
The strategy uses Swing High/Low analysis to identify market structure trends. You can customize the structure timeframe (default: 3 minutes) to match your trading style. Only enters trades aligned with the identified trend direction, avoiding counter-trend positions that often lead to losses.
Reverse Signal Exit System
Instead of using fixed stop-losses or time-based exits, this strategy exits positions only when a reverse entry signal triggers. This approach maximizes trend profits and reduces premature exits during normal market retracements.
ATR Dynamic Pyramiding
Automatically adds positions when price moves 0.5 ATR in your favor. Supports up to 2 units maximum (adjustable). This pyramid scaling enhances profitability during strong trends while maintaining disciplined risk management.
Complete Risk Management
Fixed position sizing at 5000 USD per unit. Includes realistic commission fees of 0.06% (Binance spot rate). Initial capital set at 10,000 USD. All backtest parameters reflect real-world trading conditions.
Trading Logic
Entry Conditions
Long Entry: Close price breaks above the 20-period high AND structure trend is bullish (price breaks above Swing High)
Short Entry: Close price breaks below the 20-period low AND structure trend is bearish (price breaks below Swing Low)
Position Scaling
Long positions: Add when price rises 0.5 ATR or more
Short positions: Add when price falls 0.5 ATR or more
Maximum 2 units including initial entry
Exit Conditions
Long Exit: Triggers when short entry signal appears (price breaks 20-period low + structure turns bearish)
Short Exit: Triggers when long entry signal appears (price breaks 20-period high + structure turns bullish)
Default Parameters
Channel Settings
Entry Channel Period: 20 (Donchian Channel breakout period)
Exit Channel Period: 10 (reserved parameter)
ATR Settings
ATR Period: 20
Stop Loss ATR Multiplier: 2.0
Add Position ATR Multiplier: 0.5
Structure Filter
Swing Length: 300 (Swing High/Low calculation period)
Structure Timeframe: 3 minutes
Adjust these based on your trading timeframe and asset volatility
Position Management
Maximum Units: 2 (including initial entry)
Capital Per Unit: 5000 USD
Visualization Features
Background Colors
Light Green: Bullish market structure
Light Red: Bearish market structure
Dark Green: Long position entry
Dark Red: Short position entry
Optional Display Elements (Default: OFF)
Entry and exit channel lines
Structure high/low reference lines
ATR stop-loss indicator
Next position add level
Entry/exit labels
Alert Message Format
The strategy sends notifications with the following format:
Entry: "5m Long EP:90450.50"
Add Position: "15m Add Long 2/2 EP:91000.25"
Exit: "5m Close Long Reverse Signal"
Where the first part shows your current chart timeframe and EP indicates Entry Price
Backtest Settings
Capital Allocation
Initial Capital: 10,000 USD
Per Entry: 5,000 USD (split into 2 potential entries)
Leverage: 0x (spot trading only)
Trading Costs
Commission: 0.06% (Binance spot VIP0 rate)
Slippage: 0 (adjust based on your experience)
Best Use Cases
Ideal Scenarios
Trending markets with clear directional movement
Moderate to high volatility assets
Timeframes from 1-minute to 4-hour charts
Best suited for major cryptocurrencies with good liquidity
Not Recommended For
Highly volatile choppy/ranging markets
Low liquidity small-cap coins
Extreme market conditions or black swan events
Usage Recommendations
Timeframe Guidelines
1-5 minute charts: Use for scalping, consider Swing Length 100-160
15-30 minute charts: Good for short-term trading, Swing Length 50-100
1-4 hour charts: Suitable for swing trading, Swing Length 20-50
Optimization Tips
Always backtest on historical data before live trading
Adjust swing length based on asset volatility and your timeframe
Different cryptocurrencies may require different parameter settings
Enable visualization options initially to understand entry/exit points
Monitor win rate and drawdown during backtesting
Technical Details
Built on Pine Script v6
No repainting - uses proper bar referencing with offset
Prevents lookahead bias with lookahead=off parameter
Strategy mode with accurate commission and slippage modeling
Multi-timeframe security function for structure analysis
Proper position state tracking to avoid duplicate signals
Risk Disclaimer
This strategy is provided for educational and research purposes only. Past performance does not guarantee future results. Backtesting results may differ from live trading due to slippage, execution delays, and changing market conditions. The strategy performs best in trending markets and may experience drawdowns during ranging conditions. Always practice proper risk management and never risk more than you can afford to lose. It is recommended to paper trade first and start with small position sizes when going live.
How to Use
Add the strategy to your TradingView chart
Select your desired timeframe (1m to 4h recommended)
Adjust parameters based on your risk tolerance and trading style
Review backtest results in the Strategy Tester tab
Set up alerts for automated notifications
Consider paper trading before risking real capital
Tags
Trend Following, Turtle Trading, Donchian Channel, Structure Breakout, ATR, Cryptocurrency, Spot Trading, Risk Management, Pyramiding, Multi-Timeframe Analysis
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Strategy Name: Trend Following BTC
Version: v1.0
Pine Script Version: v6
Last Updated: December 2025
SMT [Advanced] by TMUThis is a proprietary technical analysis tool designed to detect SMT (Smart Money Time) Divergences with a specific focus on Time-Cycle Theory and advanced Data Visualization.
Originality & Technical Uniqueness Unlike standard open-source SMT indicators that simply compare Highs/Lows and clutter the chart with overlapping text, this script utilizes a custom-built "Label Registry & Stacking Engine". Standard indicators often fail when multiple divergences occur simultaneously on different timeframes. This script solves this problem using a proprietary deferred rendering algorithm:
Registry System: Instead of drawing signals immediately, the script calculates potential divergences across multiple assets/timeframes and pushes them into a dynamic array (registry).
Dynamic Stacking: A background sorting algorithm processes this stack every bar, groups signals by their timestamp and type, and renders them with calculated offsets. This ensures labels never overlap, providing a clean, professional workspace impossible to achieve with basic plotting functions.
Signal Rotation: It implements a "rotation manager" logic for 90-minute cycles. As price action evolves, the script automatically assesses whether to update an existing divergence line or create a new historical reference, keeping the analysis strictly relevant to the current cycle structure.
How it Works (Methodology) The script performs a relative strength analysis between two correlated assets (e.g., ES vs. YM) using request.security to fetch comparative data.
Pivot Analysis: It identifies structural Pivot Highs and Lows based on a configurable length, filtering out minor internal noise.
Divergence Logic:
Bearish SMT: Validated when the primary asset makes a Higher High while the comparison asset makes a Lower High.
Bullish SMT: Validated when the primary asset makes a Lower Low while the comparison asset makes a Higher Low.
Time-Cycle Isolation: The analysis is confined within strictly defined temporal windows (Daily, Weekly, and custom 90-minute intraday blocks). The script detects cracks in correlation specifically within these isolated sessions rather than looking at infinite history.
Features
Smart Filter: Advanced logic to filter out "Internal" structure and focus only on major external pivot breaches.
Multi-Cycle Dashboard: A real-time table monitoring the SMT status of Monthly, Weekly, Daily, and intraday cycles simultaneously.
Auto-Ticker Selection: Automatically detects the current asset class (Indices/Forex) and selects the appropriate comparison symbol (e.g., selects YM when viewing ES).
Settings
Comparisons: Manual or Auto-ticker selection.
Visuals: Custom colors, line styles, and label positioning modes.
Alerts: Customizable alerts for valid SMT formation on any monitored timeframe.
NQ Points of Interest Suite (Fixed)Defines pre level of support and resistance
Daily MID LOW OPEN CLOSE
WEEKLY MID LOW OPEN CLOSE
MONTHLY MID LOW OPEN CLOSE
Amin_RsiBar_Macd2m in 1m_BB_ V 3.0Pro RSI Divergence Detector
This indicator automatically detects bullish and bearish divergences on the RSI by comparing key swing highs and lows in price with momentum shifts on the oscillator. It identifies both classic and hidden divergences, helping traders spot early trend reversals, momentum exhaustion, and high-probability entry zones.
Designed for traders who rely on momentum analysis, this tool provides clear on-chart signals, improves timing, and filters out false moves. It works on all markets and timeframes.
Suitable for: Crypto, Forex, Stocks, Indices
Use cases: Trend reversal detection, entry confirmation, exit optimization, momentum analysis
XXMonk Sequence Price Grid (Manual Origin + U)⭐ XXMonk Sequence Grid – Harmony Price Levels (1–144 Sequence Engine)
Algorithmic Sequence Mapping for Price Displacement
The XXMonk Sequence Grid is a precision mapping tool designed to project algorithmic price levels using harmonic numerical sequences derived from the ICT-inspired time/price symmetry concept.
This indicator takes a user-defined Origin (EQ level) and generates symmetrical expansion bands above and below price using any combination of the following sequence values:
These levels act as algorithmic rails that price frequently reacts to, respects, or expands toward — providing traders with a structural framework to interpret displacement, liquidity objectives, and sequence-based expansions.
🔷 Core Features
✔ Manual Origin (EQ Level)
Set any midpoint — daily open, session equilibrium, dealing range midpoint, your own anchor, etc.
✔ Manual U Value (Unit Size)
No restrictions. Enter any point value (ex: 0.25, 1, 5, 12.5, 25…) to scale the sequence to your instrument.
✔ Full Sequence Control
Toggle ON/OFF each individual harmonic sequence:
Micro ranges → 1, 3, 5
Intermediate → 8, 13, 21
Macro ranges → 34, 55, 89, 144
✔ Individual Line Colors
Every sequence level has its own color input for full customization.
✔ Static Lines (Do Not Move With Cursor)
Lines anchor from the first bar and extend infinitely to the right.
✔ Automatic Labels on Right Side
These levels often align with:
Liquidity pools
Displacement endpoints
PD array boundaries
Algorithmic expansion levels
Reversal zones
Session highs/lows
Volatility-based fractals
Price frequently travels sequence-to-sequence, creating a predictable harmonic structure.
GIX-KC-MAStrategia folosește doar KC si SMA 50 (filter + HTF SMA).
Intrările sunt agresive și foarte filtrate (close > SMA + break + HTF confirm).
Se folosesc pending orders automatizate, cu:
Entry = High ± pips
SL = Low ± pips
Expirare automată după X bare
Anulare la semnal opus
KC are 3 moduri de TP
Multi Time Frame Trend BiasSee the lower time frame and higher time frame trend at a glance. Choose 8 lower time frames, and 8 higher time frames. You can also choose your ema / sma relationship but I recommend using 13ema / 30 sma relationship. You can change the size of the table. You can also hide the rows and only view the overall trend if you want. Very useful as a confluence with your strategy / entry model. Trade in the same direction of the trend. Don't fight the trend.
Alloyz Traders_RSI by Sagar BRSI for Intraday purpose with moving average and volume weightage price added in RSI.
GIX Analizor strategiiGIX Analyzer – Intelligent Time Filters + X Strategy
This script combines the X Strategy with an advanced system for filtering trades based on time intervals. The strategy allows:
Filtering by preset trading hours (active sessions )
Filtering by a fully customizable time interval (hour + minute, Romania time )
Filtering by calendar range (Start Date → End Date)
Simultaneous activation of both time-filter modes for maximum control
Trading only within valid time ranges, while keeping all logic unchanged
This indicator provides high flexibility for testing and optimizing trading entries based on hours, minutes, and calendar periods—while preserving the simplicity and efficiency of any strategy
Swing Elite Supply & Demand MTFSwing Elite Supply & Demand MTF
Institutional-grade multi-timeframe Supply & Demand system with FLIP logic, Level-on-Level detection, stop-loss padding, and advanced zone mitigation.
This tool automatically detects RBR / DBR / RBD / DBD patterns on any timeframe and plots refined demand & supply zones based on explosive candles, base structure, and smart-money logic.
🔥 Core Features
• Multi-Timeframe Zone Detection
Detect supply/demand zones from any higher timeframe (HTF) and project them onto your chart.
Perfect for aligning low-timeframe entries with institutional HTF levels.
• Preferred vs Wider Zone Width
Switch between:
Preferred → body-based, tighter zones (institutional quality)
Wider → wick+body zones for more tolerance
• Level-on-Level (LOL) Zones
Automatically merges overlapping zones and builds stronger multi-layered zones, indicating repeated institutional accumulation or distribution.
• FLIP Zones (Support → Resistance / Resistance → Support)
FLIP zones are detected when the market breaks a key swing and returns to retest the zone.
These are premium continuation levels.
• Automatic Mitigation Logic
Zones are removed when:
price mitigates enough (% based)
LOL zones get fully closed through
price travels too far away after touch (invalidates the setup)
• Stop-Loss Padding System
Auto-calculates SL levels (optional) based on zone height and custom padding %.
• Clean HTF Visualization
Displays:
zone type (RBR, DBR, RBD, DBD)
LOL / FLIP
timeframe source (e.g., 4H, 1D)
automatic color coding
📊 Alerts Included
Price entering a Demand Zone
Price entering a Supply Zone
Use them for automation or high-probability entries.
🎯 Best For
SMC / ICT style trading
Order block & zone traders
Intraday HTF bias alignment
Swing trading
Algorithmic filtering (EA/strategy integration)
🚀 Why It Works
This indicator is built on institutional logic:
explosive displacement
indecisive bases
mitigation and market structure
multi-zone stacking (LOL)
HTF contextual zones
swing high/low breaks (FLIP logic)
It produces clean, high-probability zones with no repainting of the explosive candle signal.
Punjis Dynamic Daily EMA/SMA 5,9,21,50,100 LevelsPunjis Dynamic Daily EMA/SMA 5,9,21,50,100 Levels
Overview:
This indicator displays daily timeframe moving averages as horizontal lines extending to the right of your chart, regardless of what timeframe you're currently viewing. It includes six key moving averages: EMA 5, EMA 9, EMA 21, SMA 50, SMA 100, and SMA 200.
Key Features:
Clean Chart Design: Unlike traditional moving average lines that clutter your chart with curves across all candles, this indicator uses horizontal lines that extend only from the current price level to the right edge of your screen
Multi-Timeframe Analysis: View daily moving averages on any intraday timeframe (1min, 5min, 15min, etc.) without switching charts
Fully Customizable:
Toggle each moving average on/off independently
Adjust the period length for each MA
Customize colors for each line
Master toggle to show/hide all lines at once
Reduced Visual Noise: Horizontal lines keep your price action clean and easy to read while still providing critical support/resistance levels
Professional Layout: Perfect for traders who need to monitor multiple key levels without obscuring candlestick patterns and chart analysis
Benefits of Horizontal Lines:
Cleaner Charts: Traditional MAs draw lines through every candle, creating visual clutter. Horizontal lines only show current values, keeping your chart clean
Focus on Current Levels: What matters most is where the MAs are NOW relative to price - horizontal lines highlight this instantly
Better Price Action Visibility: See candlestick patterns, volume, and support/resistance levels clearly without MA lines crossing through them
Quick Reference: Instantly identify if price is above or below key moving averages without following curved lines across the chart
Professional Appearance: Clean, minimalist design preferred by institutional traders and technical analysts
Use Cases:
Day traders monitoring higher timeframe levels on intraday charts
Swing traders tracking daily moving averages as dynamic support/resistance
Multi-timeframe analysis without chart switching
Identifying trend direction and potential reversal zones
Clean workspace for pattern recognition and price action trading
