Estrategia XAUUSD - Confirmación SMA 200💰 Professional XAUUSD (Gold) Strategy | Confirmation + SMA 200 + Risk Management 💡
This script implements a precise and rigorous strategy for trading XAUUSD (Gold), focusing on reaction to key levels from the previous day, candle confirmations, and the main trend defined by the SMA 200 on the 4H timeframe.
🧠 Strategy Logic:
Automatic Levels: Marks the high and low of the previous day's candle.
15M Confirmations:
Bullish engulfing candle at support (previous day's low).
Bearish engulfing candle at resistance (previous day's high).
Pin bar with rejection.
Trend Filter with the 200 SMA on 4H:
Only buy if the price is above the 200 SMA.
Only sell if the price is below the 200 SMA.
Smart Risk Management:
By default, takes 1% of the capital entered as a parameter.
SL is placed at the most recent relevant high/low (15M).
TP with a fixed ratio of 1:10 or 1:15.
When a 1:5 ratio is reached, the SL is moved to the entry point automatically.
Alerts and Visualization:
Displays levels, entry points, SL, and TP.
Includes labels and key statistical calculations (win rate, profit factor, average R:B ratio).
Médias Móveis
Multi-timeframe Moving Average Overlay w/ Sentiment Table🔍 Overview
This indicator overlays selected moving averages (MA) from multiple timeframes directly onto the chart and provides a dynamic sentiment table that summarizes the relative bullish or bearish alignment of short-, mid-, and long-term moving averages.
It supports seven moving average types — including traditional and advanced options like DEMA, TEMA, and HMA — and provides visual feedback via table highlights and alerts when strong momentum alignment is detected.
This tool is designed to support traders who rely on multi-timeframe analysis for trend confirmation, momentum filtering, and high-probability entry timing.
⚙️ Core Features
Multi-Timeframe MA Overlay:
Plot moving averages from 1-minute, 5-minute, 1-hour, 1-day, 1-week, and 1-month timeframes on the same chart for visual trend alignment.
Customizable MA Type:
Choose from:
EMA (Exponential Moving Average)
SMA (Simple Moving Average)
DEMA (Double EMA)
TEMA (Triple EMA)
WMA (Weighted MA)
VWMA (Volume-Weighted MA)
HMA (Hull MA)
Adjustable MA Length:
Change the length of all moving averages globally to suit your strategy (e.g. 9, 21, 50, etc.).
Sentiment Table:
Visually track trend sentiment across four key zones (Hourly, Daily, Weekly, Monthly). Each is based on the relative positioning of short-term and long-term MAs.
Sentiment Symbols Explained:
↑↑↑: Strong bullish momentum (short-term MAs stacked above longer-term MAs)
↑↑ / ↑: Moderate bullish bias
↓↓↓: Strong bearish momentum
↓↓ / ↓: Moderate bearish bias
Table Customization:
Choose the table’s position on the chart (bottom right, top right, bottom left, top left).
Style Customization:
Display MA lines as standard Line or Stepline format.
Color Customization:
Individual colors for each timeframe MA line for visual clarity.
Built-in Alerts:
Receive alerts when strong bullish (↑↑↑) or bearish (↓↓↓) sentiment is detected on any timeframe block.
📈 Use Cases
1. Trend Confirmation:
Use sentiment alignment across multiple timeframes to confirm the overall trend direction before entering a trade.
2. Entry Timing:
Wait for a shift from neutral to strong bullish or bearish sentiment to time entries during pullbacks or breakouts.
3. Momentum Filtering:
Only trade in the direction of the dominant multi-timeframe trend. For example, ignore long setups when all sentiment blocks show bearish alignment.
4. Swing & Intraday Scalping:
Use hourly and daily sentiment zones for swing trades, or rely on 1m/5m MAs for precise scalping decisions in fast-moving markets.
5. Strategy Layering:
Combine this overlay with support/resistance, RSI, or volume-based signals to enhance decision-making with multi-timeframe context.
⚠️ Important Notes
Lower-timeframe values (1m, 5m) may appear static on higher-timeframe charts due to resolution limits in TradingView. This is expected behavior.
The indicator uses MA stacking, not crossover events, to determine sentiment.
Michael's EMA (Selectable TF) by Koenigsegg📌 Michael’s EMA (Selectable TF) by Koenigsegg
A multi-timeframe EMA crossover trend tool for clear market direction.
🔍 CORE LOGIC & PURPOSE
This indicator visualizes the trend based on two Exponential Moving Averages (EMAs) — fast and slow — from a user-defined timeframe.
Referencing a higher timeframe strengthens the trend signal and reduces the noise from short-term volatility.
Perfect for traders seeking cleaner entries and exits , especially those who get faked out by lower timeframe chop.
✅ KEY FEATURES
1. Multi-Timeframe EMA Calculation
- Fetches EMAs from any timeframe using `request.security()`.
- Selecting a higher timeframe makes signals more meaningful and decisive .
2. Customizable EMAs
- Small EMA (default: 12) and Big EMA (default: 21).
- Clear logic:
- Uptrend = Small EMA ≥ Big EMA
- Downtrend = Small EMA < Big EMA
3. Dynamic Trend Coloring
- EMAs change color based on the trend:
- Uptrend: Green (customizable)
- Downtrend: Red (customizable)
4. Crossover Detection & Arrows
- Clean visual arrows on trend flips only.
- Optional visibility, customizable size & color.
- Built with a debounce mechanic to avoid spam signals.
5. Built-In Alerts
- Trend Up Alert when fast EMA crosses above slow EMA.
- Trend Down Alert when fast EMA crosses below slow EMA.
- Compatible with automation, bots, and manual strategies.
⚠️ PRO TIP
Using a higher timeframe (e.g., 1H on a 15m chart, or 15m on a 5m chart as visually represented on the chart) makes trend flips more decisive and reliable, helping you avoid being faked out by short-term volatility. When the higher TF flips red — that’s your true trend shift, not just noise.
🏷️ HASHTAGS
#EMA #MovingAverage #MultiTimeframe #TrendIndicator #TradingViewScript #TradingTools
#TechnicalAnalysis #PriceAction #ForexTrader #CryptoTrader #StockTrader
#AlgoTrading #TrendFlip #SmartMoney #SwingTrading #DayTrading #MarketStructure #TradingEdge #ProfMichaelG #Koenigsegg #Bitcoin
⚠️ DISCLAIMER
This script is provided for educational and informational purposes only .
It does not constitute financial advice , investment advice, or a recommendation to buy or sell any financial instruments.
Always do your own research and consult with a licensed financial advisor before making any trading decisions.
Use this tool at your own risk.
4 Simple Moving Averages50 day SMA - Key support level in a long term uptrend.
100 day SMA - A big price dip inside a long term uptrend.
200 day SMA - A key signal of the end of an uptrend or downtrend.
250 day SMA - The return to true value zone.
Crossovers:
50 day SMA / 200 day SMA Crossover - Golden Crossover - Long-Term Trend.
Batman - Supertrend with MA + SL/TP + Dynamic Profit %This Pine Script is a complete strategy script for TradingView named "Batman - Supertrend with MA + SL/TP + Dynamic Profit %". It's designed to help traders visually and programmatically:
Identify buy/sell signals using a Supertrend indicator
Confirm trend direction using a customizable moving average (MA)
Automatically manage trades with Stop Loss (SL) and three Take Profit (TP) levels
Track dynamic profit % from entry
Generate alerts for signal and TP hits
Visualize trade levels and conditions directly on the chart
Indicators Used:
Supertrend: Primary signal generator.
Moving Average: Used to confirm or visualize trend strength.
🎯 Signal Logic:
Buy Signal: When price crosses above the Supertrend line.
Sell Signal: When price crosses below the Supertrend line.
🔁 Entry Execution:
Long or short orders are placed based on crossover/crossunder signals.
The entry price is saved to track profits and SL/TP levels.
💰 Profit Tracking:
Calculates and displays real-time dynamic profit % of the current open trade.
A floating label shows this near the candle high.
🛡️ Risk Management:
Automatically plots:
Stop Loss line
TP1, TP2, TP3 levels
Separate lines for long and short positions.
🚨 Alerts:
Alert conditions for:
Buy/Sell signals
Hitting any of the 3 Take Profit targets (both long and short)
Hope it helps!
Dskyz (DAFE) MAtrix with ATR-Powered Precision Dskyz (DAFE) MAtrix with ATR-Powered Precision
This cutting‐edge futures trading strategy built to thrive in rapidly changing market conditions. Developed for high-frequency futures trading on instruments such as the CME Mini MNQ, this strategy leverages a matrix of sophisticated moving averages combined with ATR-based filters to pinpoint high-probability entries and exits. Its unique combination of adaptable technical indicators and multi-timeframe trend filtering sets it apart from standard strategies, providing enhanced precision and dynamic responsiveness.
imgur.com
Core Functional Components
1. Advanced Moving Averages
A distinguishing feature of the DAFE strategy is its robust, multi-choice moving averages (MAs). Clients can choose from a wide array of MAs—each with specific strengths—in order to fine-tune their trading signals. The code includes user-defined functions for the following MAs:
imgur.com
Hull Moving Average (HMA):
The hma(src, len) function calculates the HMA by using weighted moving averages (WMAs) to reduce lag considerably while smoothing price data. This function computes an intermediate WMA of half the specified length, then a full-length WMA, and finally applies a further WMA over the square root of the length. This design allows for rapid adaptation to price changes without the typical delays of traditional moving averages.
Triple Exponential Moving Average (TEMA):
Implemented via tema(src, len), TEMA uses three consecutive exponential moving averages (EMAs) to effectively cancel out lag and capture price momentum. The final formula—3 * (ema1 - ema2) + ema3—produces a highly responsive indicator that filters out short-term noise.
Double Exponential Moving Average (DEMA):
Through the dema(src, len) function, DEMA calculates an EMA and then a second EMA on top of it. Its simplified formula of 2 * ema1 - ema2 provides a smoother curve than a single EMA while maintaining enhanced responsiveness.
Volume Weighted Moving Average (VWMA):
With vwma(src, len), this MA accounts for trading volume by weighting the price, thereby offering a more contextual picture of market activity. This is crucial when volume spikes indicate significant moves.
Zero Lag EMA (ZLEMA):
The zlema(src, len) function applies a correction to reduce the inherent lag found in EMAs. By subtracting a calculated lag (based on half the moving average window), ZLEMA is exceptionally attuned to recent price movements.
Arnaud Legoux Moving Average (ALMA):
The alma(src, len, offset, sigma) function introduces ALMA—a type of moving average designed to be less affected by outliers. With parameters for offset and sigma, it allows customization of the degree to which the MA reacts to market noise.
Kaufman Adaptive Moving Average (KAMA):
The custom kama(src, len) function is noteworthy for its adaptive nature. It computes an efficiency ratio by comparing price change against volatility, then dynamically adjusts its smoothing constant. This results in an MA that quickly responds during trending periods while remaining smoothed during consolidation.
Each of these functions—integrated into the strategy—is selectable by the trader (via the fastMAType and slowMAType inputs). This flexibility permits the tailored application of the MA most suited to current market dynamics and individual risk management preferences.
2. ATR-Based Filters and Risk Controls
ATR Calculation and Volatility Filter:
The strategy computes the Average True Range (ATR) over a user-defined period (atrPeriod). ATR is then used to derive both:
Volatility Assessment: Expressed as a ratio of ATR to closing price, ensuring that trades are taken only when volatility remains within a safe, predefined threshold (volatilityThreshold).
ATR-Based Entry Filters: Implemented as atrFilterLong and atrFilterShort, these conditions ensure that for long entries the price is sufficiently above the slow MA and vice versa for shorts. This acts as an additional confirmation filter.
Dynamic Exit Management:
The exit logic employs a dual approach:
Fixed Stop and Profit Target: Stops and targets are set at multiples of ATR (fixedStopMultiplier and profitTargetATRMult), helping manage risk in volatile markets.
Trailing Stop Adjustments: A trailing stop is calculated using the ATR multiplied by a user-defined offset (trailOffset), which captures additional profits as the trade moves favorably while protecting against reversals.
3. Multi-Timeframe Trend Filtering
The strategy enhances its signal reliability by leveraging a secondary, higher timeframe analysis:
15-Minute Trend Analysis:
By retrieving 15-minute moving averages (fastMA15m and slowMA15m) via request.security, the strategy determines the broader market trend. This secondary filter (enabled or disabled through useTrendFilter) ensures that entries are aligned with the prevailing market direction, thereby reducing the incidence of false signals.
4. Signal and Execution Logic
Combined MA Alignment:
The entry conditions are based primarily on the alignment of the fast and slow MAs. A long condition is triggered when the current price is above both MAs and the fast MA is above the slow MA—complemented by the ATR filter and volume conditions. The reverse applies for a short condition.
Volume and Time Window Validation:
Trades are permitted only if the current volume exceeds a minimum (minVolume) and the current hour falls within the predefined trading window (tradingStartHour to tradingEndHour). An additional volume spike check (comparing current volume to a moving average of past volumes) further filters for optimal market conditions.
Comprehensive Order Execution:
The strategy utilizes flexible order execution functions that allow pyramiding (up to 10 positions), ensuring that it can scale into positions as favorable conditions persist. The use of both market entries and automated exits (with profit targets, stop-losses, and trailing stops) ensures that risk is managed at every step.
5. Integrated Dashboard and Metrics
For transparency and real-time analysis, the strategy includes:
On-Chart Visualizations:
Both fast and slow MAs are plotted on the chart, making it easy to see the market’s technical foundation.
Dynamic Metrics Dashboard:
A built-in table displays crucial performance statistics—including current profit/loss, equity, ATR (both raw and as a percentage), and the percentage gap between the moving averages. These metrics offer immediate insight into the health and performance of the strategy.
Input Parameters: Detailed Breakdown
Every input is meticulously designed to offer granular control:
Fast & Slow Lengths:
Determine the window size for the fast and slow moving averages. Smaller values yield more sensitivity, while larger values provide a smoother, delayed response.
Fast/Slow MA Types:
Choose the type of moving average for fast and slow signals. The versatility—from basic SMA and EMA to more complex ones like HMA, TEMA, ZLEMA, ALMA, and KAMA—allows customization to fit different market scenarios.
ATR Parameters:
atrPeriod and atrMultiplier shape the volatility assessment, directly affecting entry filters and risk management through stop-loss and profit target levels.
Trend and Volume Filters:
Inputs such as useTrendFilter, minVolume, and the volume spike condition help confirm that a trade occurs in active, trending markets rather than during periods of low liquidity or market noise.
Trading Hours:
Restricting trade execution to specific hours (tradingStartHour and tradingEndHour) helps avoid illiquid or choppy markets outside of prime trading sessions.
Exit Strategies:
Parameters like trailOffset, profitTargetATRMult, and fixedStopMultiplier provide multiple layers of risk management and profit protection by tailoring how exits are generated relative to current market conditions.
Pyramiding and Fixed Trade Quantity:
The strategy supports multiple entries within a trend (up to 10 positions) and sets a predefined trade quantity (fixedQuantity) to maintain consistent exposure and risk per trade.
Dashboard Controls:
The resetDashboard input allows for on-the-fly resetting of performance metrics, keeping the strategy’s performance dashboard accurate and up-to-date.
Why This Strategy is Truly Exceptional
Multi-Faceted Adaptability:
The ability to switch seamlessly between various moving average types—each suited to particular market conditions—enables the strategy to adapt dynamically. This is a testament to the high level of coding sophistication and market insight infused within the system.
Robust Risk Management:
The integration of ATR-based stops, profit targets, and trailing stops ensures that every trade is executed with well-defined risk parameters. The system is designed to mitigate unexpected market swings while optimizing profit capture.
Comprehensive Market Filtering:
By combining moving average crossovers with volume analysis, volatility thresholds, and multi-timeframe trend filters, the strategy only enters trades under the most favorable conditions. This multi-layered filtering reduces noise and enhances signal quality.
-Final Thoughts-
The Dskyz Adaptive Futures Elite (DAFE) MAtrix with ATR-Powered Precision strategy is not just another trading algorithm—it is a multi-dimensional, fully customizable system built on advanced technical principles and sophisticated risk management techniques. Every function and input parameter has been carefully engineered to provide traders with a system that is both powerful and transparent.
For clients seeking a state-of-the-art trading solution that adapts dynamically to market conditions while maintaining strict discipline in risk management, this strategy truly stands in a class of its own.
****Please show support if you enjoyed this strategy. I'll have more coming out in the near future!!
-Dskyz
Caution
DAFE is experimental, not a profit guarantee. Futures trading risks significant losses due to leverage. Backtest, simulate, and monitor actively before live use. All trading decisions are your responsibility.
Bollinger Bands Strategy Direction & VWAP This is an updated version of classic Bollinger bands. It adds the VWAP line for reference but does not include the bands usually associated with that. It also allows for the turning on and off of longs or shorts, and limiting the duration of trades by the number of days with the default being set to 4(2 seems to be the optimal) I tested this against crypto currency perpetual markets and it consistently wins more than 60 percent of the trades against the majors ( BTC, ETH, SOL) but doesn't seems to do well against some small cap Alts. Id love to hear your feedback
Order Blocks & Breaker Blocks + EMA 50/200 + RSIthis instrument shows actual trend with order blocks on different timeframes and EMA 50/200
MultiTF Trigger —— MACD+MAMultiTF Trigger —— MACD+MA Multi-Timeframe Entry + Exit Assistant
This script provides high-confidence trade signals based on synchronized conditions across multiple timeframes (5m, 15m, 30m, 1H). It is designed to help traders identify breakout entries supported by momentum, structure, and confirmation across layers of the market.
🟢 Entry Signal :
The script generates a strong buy trigger only when all monitored timeframes align under a custom scoring system. A built-in cooldown prevents signal overuse and overtrading.
🔴 Exit Signal:
Includes a 5-minute MACD-based divergence detector to warn of potential local tops for take-profit or de-risking decisions.
🧠 Visual Aids:
Signal markers
Price label annotations
Multi-timeframe scoring tooltip for transparency
Built-in alerts for automation
This is a powerful tool for traders seeking precise timing in trend continuation setups.
MultiTF Trigger 999 - Multi-Timeframe VersionMultiTF Trigger 999 – Multi-Timeframe Entry + Exit Assistant
This script provides high-confidence trade signals based on synchronized conditions across multiple timeframes (5m, 15m, 30m, 1H). It is designed to help traders identify breakout entries supported by momentum, structure, and confirmation across layers of the market.
🟢 Entry Signal:
The script generates a strong buy trigger only when all monitored timeframes align under a custom scoring system. A built-in cooldown prevents signal overuse and overtrading.
🔴 Exit Signal:
Includes a 5-minute MACD-based divergence detector to warn of potential local tops for take-profit or de-risking decisions.
🧠 Visual Aids:
Signal markers
Price label annotations
Multi-timeframe scoring tooltip for transparency
Built-in alerts for automation
This is a powerful tool for traders seeking precise timing in trend continuation setups.
Easy Money Maker Beta 0.1First Test of my own Indicator.
short MA 20
long MA 50
Crossover signals
ATR based bands
which provide Buy and Sell signal which dynamically calculates support and resistance.
Guntavnook Katta - Price Action PROOverview:
This script is designed to provide traders with a structured, multi-layered view of market behavior. It combines three key components - trend direction analysis, oscillator-based pattern recognition, and projected candle visualization - to help identify meaningful setups and anticipate potential price movements. Additionally, it includes an automated system for plotting multi-level support and resistance zones using swing logic, making it valuable for both discretionary traders and those developing rule-based or semi-systematic frameworks.
Purpose:
The primary purpose of this tool is to empower traders with a structured, multi-dimensional analysis tool that combines both quantitative signals and visual interpretation. Rather than relying on fixed indicators or static strategies, this script allows users to understand the evolving nature of price action through a lens of historical behavior, oscillator dynamics, and market trend context.
It is especially useful for traders who value context-driven decision making - those who prefer to look beyond raw signals and study the sequence of conditions that preceded past price moves, enabling them to better anticipate future possibilities.
Core Logic:
The script brings together three independently developed analytical engines, each built on custom logic and refined through real-market application. Unlike traditional tools that rely on fixed indicator crossovers or rigid rules, this script focuses on pattern dynamics, contextual interpretation, and forward-looking structure - giving it a distinct edge in adapting to different market conditions.
Trend Engine (Volatility-Adjusted Slope Framework):
A moving average alone doesn't reveal much - it’s the slope of the moving average compared against a volatility-normalized threshold that gives meaning. This engine calculates the SMA slope across a user-defined window and dynamically adjusts the threshold using ATR-based volatility. The result: a more adaptive classification of trend into Uptrend, Downtrend, or Sideways, designed to reduce noise and align with real momentum shifts.
Pattern Detection Engine (Zone-Based Signature Matching):
Rather than comparing raw oscillator values, this system maps them into discrete behavioral zones, then tracks their sequential patterns. The most recent pattern is then scanned across historical data to detect exact zone signatures - a method that captures rhythm and structure rather than simple threshold breaks. When a match is found, the script projects what happened next by scaling and rendering those historical candles as projected candle visuals on the current chart - offering a clear and proportionate view of possible price behavior.
Support & Resistance Engine (Tiered Swing-Based Projection):
This module detects significant turning points using user-defined swing lengths, and automatically extends multi-level support and resistance zones (1x, 2x, 3x) into the future. These levels are not based on arbitrary highs/lows, but on tiered confirmation across timeframes, making them highly useful for anticipating potential reaction zones in both trending and consolidating phases.
Together, these components work in sync to offer a layered, context-rich view of price behavior - allowing traders to make better-informed decisions, whether they’re seeking confirmation, confluence, or clarity.
This script is not a signal generator - it is a decision-support tool that allows traders to study market structure in a deeper, more structured way.
It helps answer three essential trading questions:
* What is the current market trend?
* Have similar oscillator-based patterns occurred before, and what followed?
* Where are the likely support and resistance zones based on recent swings?
Key Functional Blocks:
1 - Trend Analysis Using SMA Slope Logic
The script calculates a Simple Moving Average (SMA) over a user-defined period. It compares the slope of this SMA over a second window of candles.
The slope is measured as a percentage and compared against a dynamic threshold derived from price volatility (using ATR).
The market is categorized into:
Uptrend
Downtrend
Sideways
This classification appears in a dedicated trend table at the top-right of the chart, along with the selected oscillator and relevant settings.
2 - Oscillator Pattern Matching Engine
You can select from a variety of studies:
RSI
CCI
Stochastic
Ultimate Oscillator
Money Flow Index
Chande Momentum Oscillator
Relative Volatility Index
The selected oscillator values are converted into different zones. The system continuously monitors the recent pattern of these zones and checks if it matches any past sequence.
Once a historical match is detected:
A message appears in the trend table confirming a match.
The script then activates the projected candle visualization, showing how price behaved after that historical pattern.
3 - Projected Candle Visualization Engine
This feature helps you visualize how price moved historically after a matching oscillator pattern.
How it works:
It retrieves the actual candles that followed the matching pattern in history.
These candles are then scaled relative to the current price to maintain proportional movement.
Candles are drawn using box objects to replicate historical price bars with visual clarity.
Candle color logic is based on oscillator zone at that moment in history -
Green: When the selected oscillator was in an overbought zone (e.g., RSI > 70)
Red: When the selected oscillator was in an oversold zone (e.g., RSI < 30)
Gray: When the selected oscillator was in a neutral zone
This lets traders see:
What happened previously after a similar condition
The general path price followed
Where potential turning points or continuation zones may lie
4 - Multi-Level Dynamic Support & Resistance
Support and resistance levels are drawn based on swing highs and lows across three levels:
You enter an initial swing length (e.g., 10 candles)
The system calculates:
Swing 2 = 2x
Swing 3 = 3x
From there, the indicator detects recent high/low turning points and draws horizontal lines that extend into the future:
R1, R2, R3 (if available) for resistance
S1, S2, S3 (if available) for support
This creates a forward-looking price structure, helping you prepare for reaction zones.
Example Use Cases
Intraday Traders (Best suited for lower timeframes):
This script is particularly effective for intraday traders operating on lower timeframes. It identifies repeating oscillator zone patterns that often precede short-term price movements. When a historical match is found, the projected candles display how price moved in similar situations, offering an immediate visual reference for possible price behavior. Combined with dynamically generated support and resistance zones, the tool adds structure to fast-paced decision-making — helping traders define entries, exits, and stop placements more confidently.
While lower timeframes offer the best responsiveness, the script can be applied across other intraday intervals depending on trading style.
Positional Traders (Best suited for higher timeframes):
For positional traders, this script provides a powerful framework to evaluate whether the current setup mirrors past conditions that led to extended moves. The projected candles show how price evolved after similar oscillator patterns in the past, allowing traders to assess potential directional strength. The trend classification engine and swing-based support/resistance zones further assist in planning position entries, managing holding periods, and identifying key structural levels.
Although higher timeframes offer deeper context for positional trading, the tool remains effective across other multi-day or weekly views as well.
Disclaimer
This script is intended for educational and informational purposes only. It does not provide any form of investment advice, trade recommendations, or performance guarantees. All tools and projections included are meant to support learning and market analysis.
The word “PRO” in the script title refers to a professional-grade analytical tool and should not be interpreted as a claim of profitability or advisory capability.
This script has been developed for use within structured educational environments and is not intended to function as a trading signal or advisory service. Please consult a qualified financial advisor or licensed professional before making any investment decisions.
2m + 15m 20T Trend Reversal SignalsCombination of my 2m and 15m 20T signals - created for my system and those who trade it, you won't find use in this indicator otherwise
MTF OB + FVG Scalper EnhancedMulti-Timeframe Order Block + Fair Value Gap Scalper
Purpose: High-probability scalping with smart entry confirmation using structure, liquidity, and momentum filters.
🧠 Core Concepts Used
Order Blocks (OB) – Smart money footprints.
Fair Value Gaps (FVG) – Imbalance zones where price may return.
Multi-Timeframe Bias – Higher timeframe trend guides lower timeframe trades.
RSI Overbought/Oversold – Entry only when RSI indicates momentum exhaustion.
RSI Divergence – Entry only if price and RSI disagree (classic reversal signal).
CHoCH (Change of Character) – Early shift in market structure (plotted for extra context).
📈 Trade Entry Logic
You only take a trade when everything aligns:
✅ Long Entry:
Price returns into a bullish OB zone (engulfing candle logic).
HTF (daily) shows a bullish trend (close > EMA).
RSI is oversold (below 30).
Bullish RSI divergence is detected (price made a lower low, RSI made a higher low).
✅ Short Entry:
Price returns into a bearish OB zone.
HTF shows a bearish trend (close < EMA).
RSI is overbought (above 70).
Bearish RSI divergence is detected (price made a higher high, RSI made a lower high).
💰 Trade Management
Stop Loss: Set dynamically at ATR * 1.5 away from the entry price.
Take Profit: Same distance as SL, for a 1:1 Risk:Reward (can be modified).
Only one trade at a time is allowed (strategy.position_size == 0).
📊 Visuals & Overlays
OBs plotted as labels
FVGs drawn as rectangles (extend forward)
CHoCHs plotted with triangles for structure shifts
RSI divergence plotted as circles
Alerts fire when all conditions for long/short entries are met
🎯 Goal
This strategy is designed for precision scalping, entering when:
There's a return to smart money zones (OBs)
Liquidity imbalances (FVGs) are likely to get filled
Momentum is exhausted
Market structure has shifted or is turning
🧪 Use Cases
Perfect for forex, indices, crypto
Ideal on lower timeframes (1m to 15m) with daily HTF
Great for automated alerts or bots
Multi-Timeframe TRAMAs (1m-10m)Combines Luxalgo's 1m, 2m, 3m, 5m and 10m TRAMAs to be visible on any timeframe.
Created to pick targets on OBs near flat 200Ts, so that it's impossible to miss an exit signal.
PP IndicatorEin Indikator mit vielen Indikatoren vereint:
+ EMA Ribbons
+ Pivot Points
+ VWAP
+ Hi/Lo/Open
+ RSI Candles
+ Vector Candles
+MTF Dashboard für EMAs
Super-Simple SignalIt's a very simple signal.
But not all signals are valid.
Nevertheless, you can find points where the risk is very small.
Activate the "simple moving average" and change the length to 10.
Then set the weighted moving average to smooth and find the point where the lines intersect each other.
Heiken Ashi Supertrend ADXHeiken Ashi Supertrend ADX Indicator
Overview
This indicator combines the power of Heiken Ashi candles, Supertrend indicator, and ADX filter to identify strong trend movements across multiple timeframes. Designed primarily for the cryptocurrency market but adaptable to any tradable asset, this system focuses on capturing momentum in established trends while employing a sophisticated triple-layer stop loss mechanism to protect capital and secure profits.
Strategy Mechanics
Entry Signals
The strategy uses a unique blend of technical signals to identify high-probability trade entries:
Heiken Ashi Candles: Looks specifically for Heiken Ashi candles with minimal or no wicks, which signal strong momentum and trend continuation. These "full-bodied" candles represent periods where price moved decisively in one direction with minimal retracement. These are overlayed onto normal candes for more accuarte signalling and plotting
Supertrend Filter: Confirms the underlying trend direction using the Supertrend indicator (default factor: 3.0, ATR period: 10). Entries are aligned with the prevailing Supertrend direction.
ADX Filter (Optional) : Can be enabled to focus only on stronger trending conditions, filtering out choppy or ranging markets. When enabled, trades only trigger when ADX is above the specified threshold (default: 25).
Exit Signals
Positions are closed when either:
An opposing signal appears (Heiken Ashi candle with no wick in the opposite direction)
Any of the three stop loss mechanisms are triggered
Triple-Layer Stop Loss System
The strategy employs a sophisticated three-tier stop loss approach:
ATR Trailing Stop: Adapts to market volatility and locks in profits as the trend extends. This stop moves in the direction of the trade, capturing profit without exiting too early during normal price fluctuations.
Swing Point Stop: Uses natural market structure (recent highs/lows over a lookback period) to place stops at logical support/resistance levels, honoring the market's own rhythm.
Insurance Stop: A percentage-based safety net that protects against sudden adverse moves immediately after entry. This is particularly valuable when the swing point stop might be positioned too far from entry, providing immediate capital protection.
Optimization Features
Customizable Filters : All components (Supertrend, ADX) can be enabled/disabled to adapt to different market conditions
Adjustable Parameters : Fine-tune ATR periods, Supertrend factors, and ADX thresholds
Flexible Stop Loss Settings : Each of the three stop loss mechanisms can be individually enabled/disabled with customizable parameters
Best Practices for Implementation
[Recommended Timeframes : Works best on 4-hour charts and above, where trends develop more reliably
Market Conditions: Performs well across various market conditions due to the ADX filter's ability to identify meaningful trends
Performance Characteristics
When properly optimized, this has demonstrated profit factors exceeding 3 in backtesting. The approach typically produces generous winners while limiting losses through its multi-layered stop loss system. The ATR trailing stop is particularly effective at capturing extended trends, while the insurance stop provides immediate protection against adverse moves.
The visual components on the chart make it easy to follow the strategy's logic, with position status, entry prices, and current stop levels clearly displayed.
This indicator represents a complete trading system with clearly defined entry and exit rules, adaptive stop loss mechanisms, and built-in risk management through position sizing.
Heiken Ashi Supertrend ADX - StrategyHeiken Ashi Supertrend ADX Strategy
Overview
This strategy combines the power of Heiken Ashi candles, Supertrend indicator, and ADX filter to identify strong trend movements across multiple timeframes. Designed primarily for the cryptocurrency market but adaptable to any tradable asset, this system focuses on capturing momentum in established trends while employing a sophisticated triple-layer stop loss mechanism to protect capital and secure profits.
Strategy Mechanics
Entry Signals
The strategy uses a unique blend of technical signals to identify high-probability trade entries:
Heiken Ashi Candles: Looks specifically for Heiken Ashi candles with minimal or no wicks, which signal strong momentum and trend continuation. These "full-bodied" candles represent periods where price moved decisively in one direction with minimal retracement.
Supertrend Filter : Confirms the underlying trend direction using the Supertrend indicator (default factor: 3.0, ATR period: 10). Entries are aligned with the prevailing Supertrend direction.
ADX Filter (Optional) : Can be enabled to focus only on stronger trending conditions, filtering out choppy or ranging markets. When enabled, trades only trigger when ADX is above the specified threshold (default: 25).
Exit Signals
Positions are closed when either:
An opposing signal appears (Heiken Ashi candle with no wick in the opposite direction)
Any of the three stop loss mechanisms are triggered
Triple-Layer Stop Loss System
The strategy employs a sophisticated three-tier stop loss approach:
ATR Trailing Stop: Adapts to market volatility and locks in profits as the trend extends. This stop moves in the direction of the trade, capturing profit without exiting too early during normal price fluctuations.
Swing Point Stop : Uses natural market structure (recent highs/lows over a lookback period) to place stops at logical support/resistance levels, honoring the market's own rhythm.
Insurance Stop: A percentage-based safety net that protects against sudden adverse moves immediately after entry. This is particularly valuable when the swing point stop might be positioned too far from entry, providing immediate capital protection.
Optimization Features
Customizable Filters: All components (Supertrend, ADX) can be enabled/disabled to adapt to different market conditions
Adjustable Parameters: Fine-tune ATR periods, Supertrend factors, and ADX thresholds
Flexible Stop Loss Settings: Each of the three stop loss mechanisms can be individually enabled/disabled with customizable parameters
Best Practices for Implementation
Recommended Timeframes: Works best on 4-hour charts and above, where trends develop more reliably
Market Conditions: Performs well across various market conditions due to the ADX filter's ability to identify meaningful trends
Position Sizing: The strategy uses a percentage of equity approach (default: 3%) for position sizing
Performance Characteristics
When properly optimized, this strategy has demonstrated profit factors exceeding 3 in backtesting. The approach typically produces generous winners while limiting losses through its multi-layered stop loss system. The ATR trailing stop is particularly effective at capturing extended trends, while the insurance stop provides immediate protection against adverse moves.
The visual components on the chart make it easy to follow the strategy's logic, with position status, entry prices, and current stop levels clearly displayed.
This strategy represents a complete trading system with clearly defined entry and exit rules, adaptive stop loss mechanisms, and built-in risk management through position sizing.
EMA + Supertrend (Clean)This script is designed to help traders visually identify the primary market trend using a combination of two Exponential Moving Averages (EMA50 and EMA200) and a reversed-color Supertrend indicator.
✅ Key Features:
EMA50 and EMA200 are plotted with dynamic coloring: green when EMA50 is above EMA200 (bullish), and red when EMA50 is below EMA200 (bearish).
Supertrend is plotted with reversed colors for better clarity: red during uptrends and green during downtrends — making cross-analysis easier.
A translucent background fill (green or red) highlights trend dominance based on EMA crossover.
Clean and minimal interface — no buy/sell signals, alerts, or TP/SL levels — ideal for traders who prefer to combine this with other indicators or price action analysis.
🔍 Best suited for swing traders and trend followers, especially on 4H and Daily timeframes. Helps you stay on the right side of the market without clutter.
⚠️ Note: This indicator is not financial advice. Always backtest and combine with your own strategy for best results.
Created by for the global TradingView community. Feel free to customize and build on top of it!
MA Deviation// -----------------------------------------------------------------------------
// MA Deviation Marking & Alert (MA Divergence)
// -----------------------------------------------------------------------------
// Short Title: MA Deviation Radar
// Author: zhipeng luo
// Version: 1.0
// Date: 2025-04-11
// -----------------------------------------------------------------------------
// Overview:
// This indicator identifies and highlights price bars where the closing price
// deviates significantly from its Simple Moving Average (SMA) by a user-defined
// percentage. It visually marks these bars on the chart and provides
// configurable alert conditions for threshold breaches.
//
// How it Works:
// 1. Calculates the Simple Moving Average (SMA) based on the 'MA Period' input.
// 2. Computes the percentage deviation of the closing price from the SMA value.
// Formula: `((Close - SMA) / SMA) * 100`
// 3. Compares the calculated deviation percentage against the positive and
// negative 'Threshold (%)' input values.
// 4. Marks the background of the price bars when a threshold is exceeded:
// - Red Background: Price deviation is greater than the positive threshold.
// - Green Background: Price deviation is less than the negative threshold.
// 5. Includes an optional, non-visible plot of the MA line itself.
// 6. Offers three distinct alert conditions for automation and notifications.
//
// Features:
// - Customizable Simple Moving Average period.
// - Adjustable deviation threshold percentage.
// - Clear visual signals using background colors on the main chart.
// - Built-in Alert Conditions:
// - MA Positive Deviation Alert (Triggers when price > MA + Threshold %)
// - MA Negative Deviation Alert (Triggers when price < MA - Threshold %)
// - MA Deviation Alert - Any (Triggers on either positive or negative breach)
//
// How to Use:
// - Identify Potential Extremes: Useful for spotting potential overbought (large
// positive deviation) or oversold (large negative deviation) conditions
// which might precede price corrections or mean reversion.
// - Gauge Trend Extension: Extreme deviations can sometimes indicate that a
// trend is overextended and might be due for a pause or reversal.
// - Parameter Tuning: Adjust the 'MA Period' and '(Threshold %)' settings to
// suit the specific asset, timeframe, and volatility characteristics you
// are analyzing. Lower thresholds yield more signals; higher thresholds
// focus on more significant deviations.
// - Alerts: Set up alerts via the TradingView alert menu using the provided
// conditions ("MA Positive Deviation Alert", "MA Negative Deviation Alert",
// "MA Deviation Alert - Any") to get notified of potential setups.
//
// Parameters:
// - MA Period (Default: 200): The lookback period for the SMA calculation.
// - (Threshold %) (Default: 7.0): The percentage deviation (positive and
// negative) from the MA required to trigger a background signal and alert.
//
// Alerts & Important Note:
// Three alert conditions corresponding to the signals are available:
// 1. "MA Positive Deviation Alert"
// 2. "MA Negative Deviation Alert"
// 3. "MA Deviation Alert - Any"
//
// ***Please Note:*** The value shown after "( {{plot_0}}%)" or
// "( {{plot_0}}%)" in the default alert message refers to the
// **Moving Average value** (`plot_0`), not the actual deviation percentage.
// The alert *triggers correctly* based on the deviation percentage crossing
// the threshold, but the number displayed by the `{{plot_0}}` placeholder
// in the message is the MA's value at that time due to the script's
// internal plot order.
//
// Disclaimer: This indicator is provided for informational and analytical
// purposes only. It does not constitute financial advice or a recommendation
// to buy or sell any asset. Always conduct your own research and use proper
// risk management. Trading involves significant risk.
// -----------------------------------------------------------------------------
HHVL Filtre Göstergesi by @tanrisevdirIt is derived from a free Meta Stock formula which is written as a Moving Average. I changed the formula as a filter to increase correct signals for buy and sell strategies.
Leavitt Convolution ProbabilityTechnical Analysis of Markets with Leavitt Market Projections and Associated Convolution Probability
The aim of this study is to present an innovative approach to market analysis based on the research "Leavitt Market Projections." This technical tool combines one indicator and a probability function to enhance the accuracy and speed of market forecasts.
Key Features
Advanced Indicators : the script includes the Convolution line and a probability oscillator, designed to anticipate market changes. These indicators provide timely signals and offer a clear view of price dynamics.
Convolution Probability Function : The Convolution Probability (CP) is a key element of the script. A significant increase in this probability often precedes a market decline, while a decrease in probability can signal a bullish move. The Convolution Probability Function:
At each bar, i, the linear regression routine finds the two parameters for the straight line: y=mix+bi.
Standard deviations can be calculated from the sequence of slopes, {mi}, and intercepts, {bi}.
Each standard deviation has a corresponding probability.
Their adjusted product is the Convolution Probability, CP. The construction of the Convolution Probability is straightforward. The adjusted product is the probability of one times 1− the probability of the other.
Customizable Settings : Users can define oversold and overbought levels, as well as set an offset for the linear regression calculation. These options allow for tailoring the script to individual trading strategies and market conditions.
Statistical Analysis : Each analyzed bar generates regression parameters that allow for the calculation of standard deviations and associated probabilities, providing an in-depth view of market dynamics.
The results from applying this technical tool show increased accuracy and speed in market forecasts. The combination of Convolution indicator and the probability function enables the identification of turning points and the anticipation of market changes.
Additional information:
Leavitt, in his study, considers the SPY chart.
When the Convolution Probability (CP) is high, it indicates that the probability P1 (related to the slope) is high, and conversely, when CP is low, P1 is low and P2 is high.
For the calculation of probability, an approximate formula of the Cumulative Distribution Function (CDF) has been used, which is given by: CDF(x)=21(1+erf(σ2x−μ)) where μ is the mean and σ is the standard deviation.
For the calculation of probability, the formula used in this script is: 0.5 * (1 + (math.sign(zSlope) * math.sqrt(1 - math.exp(-0.5 * zSlope * zSlope))))
Conclusions
This study presents the approach to market analysis based on the research "Leavitt Market Projections." The script combines Convolution indicator and a Probability function to provide more precise trading signals. The results demonstrate greater accuracy and speed in market forecasts, making this technical tool a valuable asset for market participants.
