Moving Average Price Deviation Spread
**Moving Average Price Deviation Spread (MA Dev)**
This indicator visualizes the deviation of price from its exponential moving average (EMA) and scales it within dynamic upper and lower bounds. The core logic measures the smoothed spread between price and EMA, then calculates standard deviation over a rolling window to define statistical thresholds.
* **Spread**: EMA of (Close - EMA), highlighting directional bias.
* **Upper/Lower Bounds**: EMA of ±1.96 \* standard deviation of the spread, framing high/low deviation zones.
* **Use Case**: Spot overextended conditions, mean reversion setups, or volatility-driven breakouts. Ideal for timing entries and exits around price extremes.
Moving Averages
EMA9/21 + Filtreler — SinyallerSignals after conditions confirmed
- EMA 9/21 cross
- EMA cross angle checking with ATR
- EMA 50 position check
- ADX > 25
- ATR checking
JUST ONE signal after cross
works with 1H and 4H periods
ORB-5Min with VWAP & EMAFirst 5-min ORB: Accurately captured from 09:15–09:20.
VWAP: Plotted live for the session, colored green.
EMA: Customizable period, plotted as a separate signal line.
Fill: Visual white fill between high and low range.
Elder Envelope V2Based on the public script by idu. (Elder Impulse System with AutoEnvelope combined by idu)
I enhanced it by adding:
- second set of envelope bands
-alerts for Short and Center EMAs cross
- fill between EMAs
I find this strategy good for swing trading on daily timeframes to determine overbought/oversold conditions. When stock is near 2nd upper band - take profits/short, when near lower -2nd band cover short/buy longs. Bull bear trend is determined by the short and long(center) emas cross. In rangebound flat trends gives false signals. Best edge is when near extremes of the bands.
MACD Green column buy Red column sell Histogram StrategyBuy Condition:
When the MACD Histogram turns from negative to positive (from red bars to green bars), it triggers strategy.entry('MACD_Buy', strategy.long), executing a buy operation.
Sell Condition:
When the MACD Histogram turns from positive to negative (from green bars to red bars), it triggers strategy.close('MACD_Buy'), executing a sell operation.
Plotting remains unchanged:
Green and red bars are displayed correctly, and both the MACD and signal lines are plotted as usual.
Disclaimer:
This strategy is for educational and reference purposes only.
You should not use this strategy for real trading, and I am not responsible for any losses incurred from using this strategy under any circumstances.
Binance Referral Code: HFW4323F (Up to 10% Cashback)
币安推荐码:HFW4323F 【手续费九折】后期推出其他福利
逻辑解释：
1.买入条件：
当 MACD 的 Histogram 从负转正（由红柱变为绿柱）时，触发 strategy.entry('MACD_Buy', strategy.long)，执行买入操作。
2.卖出条件：
当 MACD 的 Histogram 从正转负（由绿柱变为红柱）时，触发 strategy.close('MACD_Buy')，执行卖出操作。
3.绘图保持不变：
绿柱和红柱都正常显示，MACD 和信号线也正常绘制。
本策略仅供学习与参考，不构成投资建议
您不应该使用此策略进行真实交易，任何情况下使用此策略造成的损失本人概不负责
Chandelier Exit + FVG + EMAs 🏷️ Title:
Chandelier Exit + Fair Value Gaps (3-Candle Logic) + Customizable EMAs
📝 Description (TradingView format):
Overview
This script combines the original Chandelier Exit indicator by Alex Orekhov (everget) with a precision Fair Value Gap (FVG) detector based on a 3-candle formation logic. The script also integrates three customizable Exponential Moving Averages (EMAs) for trend filtering and visual support.
🔍 What’s Unique
Unlike standard FVG indicators that mark gaps only visually, this script filters and signals only when the FVG aligns with the active market direction based on the Chandelier Exit.
✅ Fair Value Gaps are drawn starting from the first candle of the pattern (candle 1), not the confirming one.
✅ Signals (BUY/SELL) are shown on the third candle — when the FVG is confirmed and direction is aligned.
✅ Optional filter: close must be above/below a customizable EMA (default: EMA 150).
✅ Includes automatic or persistent FVG rectangles (configurable via input).
✅ Clean visuals with color-coded gaps and real-time signals.
🔧 How It Works
FVG Detection Logic (3 candles):
Bullish FVG:
Candle 3 low > Candle 1 high
FVG drawn from Candle 1: top = Candle 3 low, bottom = Candle 1 high
BUY signal if aligned with Chandelier Long
Bearish FVG:
Candle 3 high < Candle 1 low
FVG drawn from Candle 1: top = Candle 1 low, bottom = Candle 3 high
SELL signal if aligned with Chandelier Short
Entry Filter:
Signals are only triggered if:
Chandelier Exit direction matches the FVG direction
(Optional) Close is above/below the EMA 150
Signal appears on the same bar where the FVG is confirmed
⚙️ Inputs:
ATR Period & Multiplier (for Chandelier)
Use Close for Extremes (Chandelier logic)
EMA Fast, Mid, and Main (for visual and optional signal filtering)
Number of candles for FVG detection
Extension length for FVG rectangles
Toggle: Keep or remove older FVGs
Toggle: Await bar confirmation
🛠 Recommended Use:
Works best on intraday timeframes for scalping or continuation setups
Combine with support/resistance or liquidity zones for best results
Great as a confirmation tool in momentum strategies
⚠️ Important Notes:
This script does not repaint
The Chandelier Exit logic is based on the exact implementation by everget
You can enable alerts for directional change or FVG confirmation signals
Happy Trading!!!
Pullback Strategy SpcL Edition By Mr.NΑυτό είναι ένα προηγμένο strategy για crypto trading, σχεδιασμένο για scalping και intraday συναλλαγές. Περιλαμβάνει:
• Λογική pullback εισόδου
• Επιβεβαίωση τάσης με πολλαπλά timeframes (MTF)
• Φίλτρα κινητών μέσων (Fast, Medium, Slow MA)
• Φίλτρα όγκου και μεταβλητότητας (volume & ATR)
• Δυναμικό και trailing Take Profit / Stop Loss
• Ρεαλιστικός υπολογισμός θέσης με βάση leverage
• Αυτόματα alerts συμβατά με WunderTrading bots
This is a high-performance, invite-only strategy for crypto traders, optimized for short-term scalping and intraday entries. Developed by Mr.N after extensive backtesting, it includes:
• Smart pullback entry logic
• Multi-timeframe trend confirmation
• Advanced MA filters (Fast, Medium, Slow)
• Volume spike and ATR volatility filters
• Dynamic & trailing SL/TP logic
• Realistic leverage-based position sizing
• Auto alerts for WunderTrading bots (JSON format)
Access is only granted to verified subscribers.
For access and support, contact:
FHC_Dual EMAFHC_Dual EMA indicator displays two independently configurable Exponential Moving Averages (EMAs), allowing the user to set the period, price source, and offset for each one. In addition to the basic EMAs, the indicator offers an optional second layer of smoothing using various moving average types (such as SMA, EMA, WMA, among others) and can optionally add custom Bollinger Bands around the smoothed averages.
This makes it a practical alternative for users who want to plot multiple moving averages without using two separate indicators, offering more freedom to add other tools—especially useful for those on plans where the number of available indicators per chart is limited.
ATR + FVG and 3 EMAs 📝 Description for TradingView (English version):
Ind JDV 2.2 PRO with FVG and 3 EMAs
Overview:
This script identifies high-probability entry points by combining Fair Value Gaps (FVGs), trend filters using Exponential Moving Averages (EMAs), and momentum confirmation via Chandelier Exit. It focuses on structural imbalance and only triggers a signal on the third candle of a valid FVG—ensuring precision and trend alignment.
What does this indicator do and how does it work?
🔶 Fair Value Gaps (FVG):
The script detects FVGs using a standard 3-candle logic. If candle 1 and candle 3 do not overlap, a liquidity gap is detected. These gaps are drawn as extended boxes, helping traders visually track potential zones of reaction or continuation.
Orange FVG (traditionally bearish): Potential selling zones.
Green FVG (traditionally bullish): Potential buying zones.
🔷 Three EMAs as Trend Filters:
The system includes 3 configurable Exponential Moving Averages to help filter trades based on trend strength:
EMA 150 (main trend filter)
EMA 50 (mid-term trend)
EMA 20 (short-term sensitivity)
You can enable or disable the EMA filter for flexible use across scalping, intraday, or swing setups.
🟣 Chandelier Exit for Momentum Confirmation:
This dynamic ATR-based trailing stop is used here as an entry confirmation:
Long trades: Price must be above the Chandelier Long level.
Short trades: Price must be below the Chandelier Short level.
Entry Conditions (BUY or SELL signal):
A signal appears only on the third candle of a valid FVG, and only if:
A valid FVG was detected exactly 2 bars ago.
The signal direction matches the FVG type (green = BUY, orange = SELL).
Price is aligned with the main EMA direction.
Chandelier Exit confirms the momentum in the same direction.
How to Use:
Load the indicator on your preferred chart and timeframe (ideal for NASDAQ, crypto, or futures).
Observe painted FVGs as potential areas of trade opportunity.
Wait for a BUY or SELL signal exactly on the 3rd candle of the FVG.
Use the optional TP/SL lines or your own trade management strategy.
What makes this script original and useful?
This script is not a simple mashup of indicators. Its originality comes from:
A disciplined FVG logic with strict timing of signal placement.
The layered confirmation from trend (EMAs) and momentum (Chandelier Exit).
Full user control over entry conditions and visual clarity.
👉 A powerful tool for traders seeking to enter structural imbalance zones with strong confirmation and minimal noise.
Not every signal works, try to find tendencies. Happy Trading!!!
GMMA + MTF StochRSI + WAE AlertsThis Script combines the Guppy multiple moving average, Waddah Attar Explosion and the Stochastic RSI.
The principle is to have the Stochastic alert on the lower timeframe and use the GMMA as higher trend confirmation.
Antony.N4A -MGC ORB Quartile Str v6.3 (Trial until 15/6/2025)🔷 Antony.N4A – MGC ORB Quartile Strategy v6.3
MGC ORB Quartile is a structured breakout strategy based on the Opening Range Breakout (ORB), enhanced with smart momentum and trend filters. It is designed for disciplined intraday execution and adaptable risk profiles.
🔹 Key Features:
Opening Range Breakout (ORB):
Automatically defines a breakout window (default: 09:30–09:45) and triggers entries when price breaks the high or low of that range.
Standard Deviation Profit Targets:
Supports SD0.5, SD1.0, SD1.5, and SD2.0 targets relative to the ORB range.
EMA Filtering (200-period):
Filters trades based on EMA direction and price position to validate breakout direction and avoid false entries.
Range Filtering:
Detects directional bias and volatility trends using smoothed range logic.
Momentum Triggering:
Validates breakout momentum and allows entries when directional momentum is positive and increasing.
⚙️ Trade Management Rules:
Entry:
Triggered at the close of a 5-minute candle confirming a breakout of the ORB range.
Stop Loss:
Defined by structural invalidation (quartile boundaries & mid-range buffers).
Take Profit Strategy:
75% closed at SD1.0 level
Remaining 25% trailed to further SD2 target
****SL is moved to breakeven after partial exit****
Execution Controls:
*No pyramiding
*No re-entries (cooldown enforced)
🔁 Trading Modes & Backtest Results:
1️⃣ Conservative Mode
Strictest filters combine: EMA filtering + RG filter for trend + Momentum Triggering
Excellent for clean-trend environments
Backtest (7 months):
✅ Win Rate: 73%
🧾 Total Trades: 15
💵 Earnings: $2314 (11.57R, R=200)
📉 Max Red Days in a Row: 1
🟥 Max Drawdown: $196
2️⃣ Moderate Mode
Balanced filter set combine: EMA filtering + RG filter for trend + Momentum Triggering
Optimized for broader market adaptability
Backtest (7 months):
✅ Win Rate: 72%
🧾 Total Trades: 32
💵 Earnings: $4373 (21.87R, R=200)
📉 Max Red Days in a Row: 3
🟥 Max Drawdown: $392
3️⃣ Aggressive Mode
No EMA filtering – higher opportunity, higher risk
Only RG filter for trend + Momentum Triggering
Ideal for experienced traders in trending conditions
Backtest (45 months):
✅ Win Rate: 64%
🧾 Total Trades: 45
💵 Earnings: $5126 (25.63R, R=200)
📉 Max Red Days in a Row: 4
🟥 Max Drawdown: $545
⏳ Trial Limitation:
This strategy version is active through June 15, 2025.
PMA - Pasha Moving Average [AlPashaTrader]🔵 PMA – The Future of Moving Averages
PMA (Pasha Moving Average) is not just another moving average. It’s a next-generation, smart, and adaptive smoothing system engineered to respond dynamically to market conditions. Built on a multi-phase algorithm, it gives traders a crystal-clear view of price direction while filtering out noise and false signals.
⚙️ How PMA Outperforms Traditional MAs
Type Description Weakness
SMA Simple average over a fixed period Too slow, poor response to fast markets
EMA Exponentially weighted to recent prices Overreacts to short-term noise
SMMA Smoothed EMA Too laggy, often misses entries
HMA Weighted hybrid smoothing Fast but erratic in sideways markets
🟦 PMA 3-phase intelligent smoothing (adaptive + predictive + dynamic) High precision with low noise, highly adaptive
🧠 What Makes PMA So Unique?
🔹 Fully Adaptive Behavior
PMA doesn't just rely on fixed periods. It dynamically adapts its responsiveness based on real-time market volatility, ensuring smoother reactions in calm markets and faster adjustment in volatile conditions.
🔹 Built-In Predictive Intelligence (Kalman Layer)
It uses a specialized estimation layer inspired by Kalman filtering, a mathematical model used in GPS and aerospace systems. This allows PMA to anticipate directional shifts with remarkable accuracy.
🔹 Smooth, But Not Slow
Unlike traditional smoothing techniques that introduce heavy lag, PMA intelligently reduces price noise without delaying signals, making it ideal for scalpers, swing traders, and trend followers.
🔹 Pro-Level Architecture
PMA processes price action through three internal stages:
Adaptive smoothing based on volatility
Predictive estimation using advanced modeling
Final intelligent refinement to smooth out any inconsistencies
🎯 How to Use PMA Effectively
Trend Direction
Price above PMA → Bullish bias
Price below PMA → Bearish bias
Signal Confirmation
Use PMA to filter other indicators or entry signals.
Never take trades that contradict the PMA direction.
Entry/Exit Points
Use PMA crossovers or breaks with momentum confirmation as high-confidence entries.
✅ Summary
PMA isn’t just a better moving average — it’s a trading advantage. Designed to adapt, predict, and respond with surgical precision, PMA is your edge in a market full of noise and false signals.
MMTools - Catcher❖ Overview
Catcher is a professional trading indicator designed to provide insightful, high-quality purchasing signals to traders, algorithmic traders, and investors. The indicator employs trend-following, momentum, and volatility-based techniques, all integrated into the author's unique and sophisticated strategic framework. This approach ensures that only the highest-performing signals are selected and presented. Unlike the majority of indicators, Catcher seeks to deliver signals against local price movements. Furthermore, the indicator is engineered to adapt to changing market conditions, ensuring its sustained value and relevance.
❖ How The Indicator Works
The objective of Catcher is to detect market movements and signal emerging trends to follow — before the trend loses momentum. Following this phase, the indicator remains inactive during periods of consolidation and low buying interest, resuming only upon detecting indications of a new market movement.
The system is built on a custom market-following algorithm that dynamically adjusts its internal components by analyzing the prevailing trend direction, strength, and volatility. This allows the indicator to identify optimal entry points in changing market conditions. By continuously adapting, Catcher can filter out false signals more effectively than traditional fixed-logic strategies.
❖ Settings
The indicator has simple settings. It allows the addition of signals from up to three other timeframes, with each additional signal increasing in size to facilitate differentiation. However, the selected timeframes must be equal to or higher than the chart’s current timeframe.
⚙️ Exit Signals:
Crosses marked as “+” on the chart represent favorable exit points determined by timeout logic.
Both entries and exits are fully non-repainting, meaning they will not change their locations or disappear once displayed on the chart. Note that they appear at the opening of the bar.
❖ Application
The indicator demonstrates strong performance in trending markets. However, it is advisable to avoid trading during highly volatile, choppy markets. As illustrated in the images below, signals generated in stable, trending environments tend to yield more favorable outcomes compared to those produced in turbulent conditions.
-- Example of Catcher operating during trending market --
-- Example of Catcher operating in a choppy market --
⚡️ It is not necessary to wait for bar closures, as the signals do not repaint once displayed.
Catcher can be used independently or to complement your existing techniques, for instance, by confirming your ideas or identifying precise entry points. The more reliable technical tools you incorporate, the stronger your analysis can become. Here is an example of how Catcher integrates with classical technical analysis:
-- Example of Catcher operating with additional influencing factors --
❖ Conclusion
We believe that dedicated traders can achieve outstanding results by using our tools with commitment and a professional approach. We hope that Catcher offers you a fresh and valuable perspective on trading.
❖ Access
Please refer to the Author's Instructions field to request access to the script.
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Disclaimer
The information provided by my scripts is for informational purposes only and does not constitute financial advice. Past performance is not indicative of future results. Always do your own research before making financial decisions.
Antony.N4A -NQ ORB Quartile Str v6.3 (Trial until 15/6/2025)📈 Antony.N4A - NQ ORB Quartile Strategy v6.3 (Trial until 15/06/2025)
A precision-engineered intraday breakout system built for the Nasdaq futures market, combining the Opening Range Breakout (ORB) logic with dynamic standard deviation targets, structural filters, and multi-layer risk management.
🧠 Key Features
Opening Range Breakout (ORB):
Automatically defines a breakout window (default: 09:30–09:45) and triggers entries when price breaks the high or low of that range.
Standard Deviation Profit Targets:
Supports SD0.5, SD1.0, SD1.5, and SD2.0 targets relative to the ORB range.
EMA Filtering (200-period):
Filters trades based on EMA direction and price position to validate breakout direction and avoid false entries.
Range Filtering:
Detects directional bias and volatility trends using smoothed range logic.
Momentum Triggering:
Validates breakout momentum and allows entries when directional momentum is positive and increasing.
⚙️ User Inputs
ORB Settings: Timeframe, session, and timezone customization
Entry Window: Define when trades are allowed to trigger
Day Filters: Enable/disable trading by weekday
SD Targets: Configure exit % and active levels (SD0.5 – SD2.0)
EMA Filter & Sensitivity
Cross Filter (Anti-chop logic)
Range Filter Parameters
Visual Toggles: ORB range, SD levels, EMA clouds
🎯 Trade Management Rules
Entry:
Triggered at the close of a 5-minute candle confirming a breakout of the ORB range.
Stop Loss:
Defined by structural invalidation (quartile boundaries & mid-range buffers).
Take Profit Strategy:
75% closed at SD1.0 level
Remaining 25% trailed to further SD2 target
****SL is moved to breakeven after partial exit****
Execution Controls:
*No pyramiding
*No re-entries (cooldown enforced)
🔧 Trading Modes
✅ Safe Mode
EMA Filter: Enabled
EMA Sensitivity: 19
Range Filter: Disabled
Ideal for conservative setups and reduced noise environments
🔥 Aggressive Mode
EMA Filter: Enabled
EMA Sensitivity: 5
Range Filter: Disabled
Suited for high-frequency setups and faster breakouts
📊 Backtest Performance (7-Month Sample)
Safe Mode:
Win Rate: 66%
Total Trades: 29
Net PnL: +21.79R (~$4,357 with R = $200)
Max Red Days: 3
Max Drawdown: -$663
Best Month: +9R, Worst Month: -2R
Aggressive Mode:
Win Rate: 63%
Total Trades: 52
Net PnL: +30R (~$6,080)
Max Red Days: 6
Max Drawdown: -$1,357
Best Month: +12R, Worst Month: -3.2R
🔒 Trial Mode Notice
This script is in trial mode and will only trigger new entries until June 15th, 2025.
After this date, entries are disabled, and a "⛔ Trial expired" label is shown on your chart.
👨💻 Developed by Antony.N4A
This tool is crafted for strategic intraday traders, system developers, and backtesters.
For full version access, customization, or licensing options, contact the developer directly.
📆 Trial Ends: June 15th, 2025
📈 Fully backtestable, clean logic, adjustable filters, and visual clarity.
Advanced Buy/Sell with TP/SL & Trend FiltersThis powerful TradingView indicator is designed for scalpers and intraday traders who demand precision, clarity, and high-probability trade setups.
✅ Key Features:
Buy (Blue) and Sell (Pink) Entry Labels based on market structure breaks, Bollinger Band zones, and current trend direction.
Take Profit (Green) and Stop Loss (Red) Labels with a minimum 2:1 Risk-to-Reward Ratio and at least 20 pips target.
Multi-Moving Averages: Uses MA 8, 21, 25, 50, 66, 85, 100, and 200 to detect momentum, structure, and trend alignment.
Alligator Indicator: Helps identify trending vs. consolidating markets.
Bollinger Bands: Highlight overbought/oversold zones for timing precision.
Dynamic Fibonacci Levels: Automatically drawn from the most recent 20-bar swing highs and lows.
Market Structure Break Logic: Confirms bullish or bearish shifts using higher highs/lows or lower lows/highs.
Built-in Trend Confidence Meter: Background color (green/red) signals when 6 or more MAs align in one direction.
Alerts: Custom alert conditions for Buy and Sell signals.
🎯 Perfect For:
1m, 3m, 5m, 15m, 30m, and 1H charts
Forex, indices, crypto, and high-volatility instruments
Traders seeking strong entry confirmation and automated visual guidance
Disclaimer: This indicator is designed for educational and informational purposes. Always combine with sound risk management and your own trading strategy.
Value Scanner | QuantEdgeB📡 Value Scanner | QuantEdgeB
🔍 What is the Value Scanner?
The Value Scanner by QuantEdgeB is a volatility-adaptive valuation framework that dynamically evaluates where price sits relative to a custom “Fair Value” zone. It combines your choice of moving average engine (SMA, WMA, VIDYA, etc.) with multi-layered standard deviation or ATR-based bands to highlight extreme conditions, reversal zones, and statistical overextensions in real time.
💡 Think of Value Scanner as a radar grid, continuously scanning market terrain and painting a full spectrum from balance to extreme disequilibrium.
⚙️ Core Components
✅ Customizable Moving Average Core
At the heart of the scanner lies a flexible moving average engine:
• Choose from 12+ advanced types: 𝓦𝓜𝓐, 𝓥𝓦𝓜𝓐, 𝓥𝓘𝓓𝓨𝓐, 𝓢𝓜𝓜𝓐, 𝓐𝓛𝓜𝓐, 𝓛𝓢𝓜𝓐, and more.
• Fair Value is derived from this base and acts as the center of the statistical zones.
✅ Volatility-Driven Band Construction
Two volatility methods power the adaptive zones:
• Average True Range (ATR): Ideal for reactive, price-based spreads.
• Standard Deviation (SD): Better for modeling reversion and deviation symmetry.
The scanner builds up to ±5σ zones, dynamically updating in real time.
🎯 Signal and Zone Identification
🧭 Deviation Labels
The system assigns a statistical label at every candle:
• From +0.5σ to +5σ for increasing levels of overextension upward.
• From -0.5σ to -5σ for oversold and undervalued conditions.
🌐 Market Stage Detection
Each deviation zone is translated into an intuitive market phrase such as:
• “𝓔𝔁𝓽𝓻𝓮𝓶𝓮𝓵𝔂 𝓞𝓿𝓮𝓻𝓫𝓸𝓾𝓰𝓱𝓽”
• “𝓜𝓲𝓭 𝓥𝓪𝓵𝓾𝓮 / 𝓑𝓪𝓵𝓪𝓷𝓬𝓮𝓭”
• “𝓜𝓪𝔁𝓲𝓶𝓾𝓶 𝓔𝔁𝓽𝓮𝓷𝓼𝓲𝓸𝓷 𝓓𝓸𝔀𝓷”
These phrases help you intuitively gauge risk, reward, and imbalance without needing to study a chart for long.
🔺 Signal Mechanics
📌 Reversal Signals (Optional)
• Automatic buy signals when price crosses above key lower deviation levels.
• Sell signals when price crosses below upper deviation bands.
• Ideal for mean-reversion setups or high-probability reversal plays.
🖼️ Visual Overlay Engine
• Beautifully shaded volatility bands with decreasing opacity as they move away from fair value.
• Background coloring highlights extreme price zones for fast visual alerts.
• Built-in "table display" summarizing the current base, volatility method, direction, fair value, and deviation stage.
📊 Table Overlay Features
The live diagnostic table (position adjustable) displays:
• 📈 Current Base MA Type
• 🌡️ Volatility Method in use (ATR or SD)
• 🧭 Trend direction (rising/falling/neutral)
• 🧮 Current Deviation Label (+2σ, -3σ, etc.)
• 🚦 Interpretive Stage Phrase ("Strongly Overbought", etc.)
• 📍 Real-Time Fair Value
• 🚨 Upper & Lower Extremes
🧠 Why Use the Value Scanner?
This tool is designed for traders who want to:
• Identify price extremes relative to statistical norms.
• Time entries and exits based on price's relationship to value zones.
• Visualize volatility structure without clutter.
• Combine trend-following or mean-reversion logic with elegant overlays and table analytics.
💼 Ideal Use Cases
• Swing trading: Spot overextensions or returns to mean.
• Options traders: Gauge volatility compression or expansion.
• Reversion systems: Generate contrarian signals at edge zones.
• Trend continuation: Use +1σ or -1σ as breakout validation levels.
🧬 Default Settings
• Base Type: 𝓦𝓜𝓐
• Length: 21
• Volatility Type: 𝓐𝓿𝓰. 𝓣𝓻𝓾𝓮 𝓡𝓪𝓷𝓰𝓮
•. Volatility Lengths: ATR 14 / Stdev 30
🧬 In Summary
Value Scanner | QuantEdgeB is not just a volatility band indicator — it’s a contextual market scanner that combines price equilibrium theory with precision deviation mapping. It adds statistical insight, color-coded extremes, and narrative stage identification — all in real time.
Whether you’re trend-following or fading extremes, this system helps you locate value, measure dislocation, and trade with mathematical confidence.
📌 Trade with Statistical Precision | Powered by QuantEdgeB
🔹 Disclaimer: Past performance is not indicative of future results.
🔹 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
Midas👑multi-indicator lite1. EMA Ribbon
Uses the most popular EMAs (periods 20, 50, 100, 200)
EMAs are shown as colour-filled bands separated by lines (enable brighter lines in Style if needed)
Background and line colours flip automatically when the global trend changes, so you can instantly read market sentiment
Fill brightness indicates the EMA period (20 = brightest, 200 = dimmest)
Band direction and position help distinguish a trend from a sideways range
2. Support & Resistance Levels
Instantly highlights strong and weak levels to trade from: breakout, bounce, or take-profit targets
💡 Price often bounces off strong levels – use alerts or limit orders to catch the best entries
⬇️ Bounce: when price reaches support in a drop or resistance in a rise, open the opposite side (works well in ranges or fading trends)
⬆️ Breakout: short on a support break, long on a resistance break (works well in a strong trend)
3. Horizontal Volumes
Shows significant liquidity shelves that act as support or resistance
💡 Price moves from liquidity to liquidity just like from level to level
💡 Larger shelves are stronger magnets and give a higher probability of reaction
⬇️ Bounce: trade opposite when price touches a large shelf (good in ranges or fading trends)
⬆️ Breakout: trade continuation after a shelf break (good in strong trends)
4. Stop-Loss Heat-map
Displays zones with the highest concentration of stop orders – strong price magnets helps you see where large players may push price to collect liquidity
💡 Combine with levels and volumes to anticipate potential targets
5. Price Channel
Shows the linear price channel in which the market is currently trading
💡 Channel colour and slope quickly reveal sentiment
💡 When price approaches channel boundaries, a bounce is likely
⬇️ Near the upper boundary – consider locking long profits and look for shorts
⬆️ Near the lower boundary – consider locking short profits and look for longs
‼️This version of the indicator is for informational purposes only.
The full MidasPro version includes trading signals, built-in technical analysis, signal reliability assessment, Telegram alerts, and over 15 top indicators such as whale buying activity, money flow, divergences, volume delta, and more…
To get free access to the Pro version, visit 👉 our profile!
RSI Open Interest y Volumen de BitcoinThe main objective is to combine fundamental data from two relevant sources in the Bitcoin market: the Open Interest of CME futures contracts and the trading volume of the BTC/USDT pair on Binance. To do this, two specific symbols are used: one to represent the futures contract, identified as "CME:BTC1!", and another to obtain the volume ("BINANCE:BTCUSDT"). Using the request.security function, the script requests and synchronizes this data with the chart resolution or a customizable timeframe, allowing analyses to adapt to any timeframe. This is crucial for traders, as it allows them to obtain a comprehensive view of both futures market sentiment and real-time trading activity.
In the technical process, the script applies the RSI (Relative Strength Index) individually to both Open Interest and volume, using the same user-configurable period, ensuring consistency in the analysis of both data sets. By calculating the RSI for each variable—identifying overbought or oversold areas—two indicators are generated that reflect the evolution of commitment in futures and the intensity of trading flow in the spot market. An average of both RSIs is then produced to smooth out potential discrepancies and provide a single signal that combines both perspectives.
EMA 9EMA 9 is an exponential moving average you can use in any time frame on any market or symbol. It's a 9 period average
MPA AI v4 Adaptive Volatility-Based Trend Strategy# 🔍 MPA AI v4 – Adaptive Volatility-Based Trend Strategy
> Invite-Only | Designed for 15m Crypto Perpetuals | Dynamic TP/SL | Real-Time Market Structure Engine
---
## 📘 What Is MPA AI v4?
**MPA AI v4** is an advanced invite-only strategy specifically designed for trading crypto perpetual futures on 15-minute charts. It intelligently adapts to market conditions in real-time using a blend of volatility measurements, structural logic, and multi-layered trend confirmation.
Unlike conventional static systems, MPA AI v dynamically reconfigures all its core parameters—including EMAs, ADX thresholds, SL/TP levels, and Fibonacci extensions—based on the current volatility regime. It is built for intraday traders who seek precision, control, and intelligent trade automation.
---
## ⚙️ Core Mechanics and Logic
MPA AI v4 is composed of several synchronized modules:
| Module | Role |
| ------------------- | ---------------------------------------------------------- |
| EMA Short/Long | Dynamically determines trend direction and momentum |
| EMA Slope | Filters out weak or sideways markets |
| ADX (dynamic) | Confirms valid directional strength |
| Volatility Ratio | Drives regime switching for all key parameters |
| ATR + Fib Extension | Dual logic for conservative TP placement |
| Time-Based Exit | Ensures all trades close within 24 hours to limit exposure |
All modules respond to volatility conditions in real time, dynamically adjusting their thresholds, behavior, and interactions with one another on a per-candle basis. This ensures the strategy is not just adaptive in name, but functionally reactive to live market shifts—modifying entries, exits, risk profiles, and even filtering sensitivity as the volatility regime changes.
---
## 📊 Volatility Engine: Market Regime Classifier
The strategy classifies market volatility using the formula:
```pine
volatility = ta.atr(14) / ta.sma(ta.atr(14), 40)
```
This creates a dynamic ratio that segments market states into three regimes:
| Regime | Ratio Range | System Behavior |
| ---------- | ----------- | ---------------------------------------------------------------------- |
| High Vol | > 1.5 | Fast EMAs (5/20), wider SL (2.5%), aggressive Fib level (0.5), RR bias |
| Normal Vol | 0.8 - 1.5 | Balanced config (7/24 EMAs, SL \~2.0%, Fib level \~0.4) |
| Low Vol | < 0.8 | Slow EMAs (10/30), tighter SL, conservative TP via Fib (0.3) |
Each regime causes the system to adjust a wide array of parameters including risk thresholds, EMA lengths, ADX sensitivity, and even Fibonacci projection logic. In high volatility, the system prioritizes speed and broader stops, whereas in low volatility, it shifts to tighter risk controls and more conservative entry conditions. This ensures each trade setup is finely tuned to the prevailing market environment, minimizing false signals and optimizing profitability potential across regimes.
---
## 📊 Multi-Stage Trend Validation
Before entering a position, the strategy verifies three simultaneous conditions to ensure high-probability setups and avoid entries during noisy or uncertain price action:
### 1. EMA Alignment
* Price must cross above (or below) a volatility-adjusted short EMA
* Price must remain above (for long) or below (for short) the long EMA
* This ensures that both short-term and medium-term directional bias support the potential trade
### 2. EMA Slope
* Measured slope of the short EMA must exceed a minimum dynamic threshold that adjusts with volatility
* This condition removes false setups in sideways markets and prioritizes trades in trending phases
* The slope threshold itself is scaled relative to price movement and volatility level, making it flexible across market conditions
### 3. ADX Confirmation
* The ADX must be above a dynamic floor (ranging from 22 in low-volatility regimes to 55 in high-volatility)
* This confirms that the trend has sufficient directional energy to warrant an entry
* ADX filtering reduces the chance of entering during choppy, low-momentum phases
Only if **all three filters** are satisfied within the same candle context does the strategy allow a position to be opened. This conservative entry gating significantly reduces overtrading and increases signal reliability.
---
## 🌟 Entry and Exit Logic
| Signal Type | Conditions |
| ----------- | ----------------------------------------------------------- |
| Long | Price > EMA short & long, EMA slope > threshold, ADX valid |
| Short | Price < EMA short & long, EMA slope < -threshold, ADX valid |
These entry signals are only triggered when all conditions are met simultaneously within the same candle context, ensuring trend alignment, directional bias, and strength confirmation are all present. This reduces the chance of entering on noise, fakeouts, or uncertain reversals. By requiring confirmation from price position, EMA angle, and trend strength (ADX), MPA AI v4 filters out low-conviction setups and ensures strategic capital deployment.
### TP Calculation:
* Computes **Fibonacci-based extension** from recent HH/LL range, reflecting structure-based potential
* Calculates **ATR-based projection** using live volatility to estimate expansion capacity
* Selects the more conservative value between the two to avoid overextending profit targets
* This dual-confirmation approach helps maintain a favorable reward/risk profile while avoiding unrealistic expectations
### SL Calculation:
* SL is determined as a volatility-adjusted percentage of entry price (ranging from 2.0% to 2.5%)
* The SL adapts in real-time based on the prevailing volatility regime to maintain proportional risk control
* This dynamic approach reduces overexposure during unpredictable phases
### 24-Hour Exit:
* Any trade left open for more than 24 hours is forcibly closed to avoid indefinite exposure
* A timeout label is plotted on the chart to show that a duration-based exit was executed
* This mechanism acts as a safety net against stagnating trades and unexpected market drift
---
## 📊 Visual Feedback on Chart
| Element | Purpose |
| ------------- | -------------------------------------------------- |
| EMA Lines | Visual trend confirmation (dynamic) |
| TP/SL Labels | Shows price and percent values in real time |
| RR Label | Displays calculated Risk/Reward ratio |
| Info Box | Shows all TP/SL/RR info when a position is active |
| Timeout Label | Indicates when a position closed due to 24h expiry |
---
## 🔮 Recommended Backtest Settings
| Parameter | Value | Rationale |
| --------------- | ----------- | ----------------------------------------- |
| Initial Capital | 100,000 | Reasonable for retail testing |
| Commission | 0.04% | Reflects Binance taker fee |
| Slippage | 2 ticks | Models realistic trade latency |
| Order Size | 100% equity | Full exposure trade per signal |
| Pyramiding | 1 | Prevents overlapping entries |
| Timeframe | 15m | Balances speed and statistical relevance |
| Sample Size | 100+ trades | Meets TradingView's statistical standards |
---
## 🔒 Invite-Only Justification
MPA AI v4 incorporates:
* A real-time volatility modeling engine
* Adaptive EMA/ADX/Fib/ATR interaction
* Smart TP/SL pairing using multi-method projections
* Market structure targeting without repainting
* Controlled time-exposure logic with visual transparency
Unlike typical scripts that simply combine a few public indicators, this strategy constructs a responsive, modular system that recalibrates every major decision dynamically based on changing volatility. Each component—including entries, filters, and exits—communicates and adapts in real time, producing a system that behaves more like a trading engine than a fixed-rule indicator.
Furthermore, its dual TP projection system (Fibonacci + ATR) with volatility-governed decision logic adds sophistication that cannot be achieved by combining open-source tools. The structure-aware, time-limited exits paired with RR-labeled info overlays create a tool that is as visual and instructional as it is operational.
These combined features create an edge that cannot be reproduced via indicator mashups or templates.
Therefore, the Invite-Only model is appropriate and justified under TradingView’s Vendor rules.
---
## ✅ House Rules Compliance Summary
| Criterion | Compliant | Notes |
| --------------------------- | --------- | ----------------------------------------------------- |
| English Description | ✅ Yes | Full technical documentation included |
| No External References | ✅ Yes | All logic explained inside script |
| Realistic Backtest Settings | ✅ Yes | Proper capital, fees, slippage modeled |
| No Misleading Claims | ✅ Yes | No unrealistic returns or guarantees |
| Clear Visual Output | ✅ Yes | RR/TP/SL/Timeout visuals shown during trades |
| Original, Valuable Strategy | ✅ Yes | Multi-layer adaptive engine not replicable via mashup |
---
Phoenix AI **Phoenix AI — Full System Overview**
Phoenix AI is a **non-repainting, trend-confirming, neural signal-based indicator** that blends classical technical analysis, adaptive volatility logic, and machine-learning-style signal weighting. The system is modular yet interconnected, with each part reinforcing the others to minimize false signals and maximize high-probability trade entries.
🧠 1. Neural Signal Engine
🔸 Components:
***Momentum - (based on RSI deviation from 50)
***Trend - (comparison of EMA 20 vs EMA 50)
***Volatility - (normalized ATR relative to price)
***Volume - (positive or negative delta from previous candle)
Each of these factors is weighted using user-defined inputs:
(momentum * momentumWeight + trend * trendWeight + volatility * volWeight + volume * volumeWeight)
🔸 Role: The output is a **normalized signal strength** between -1 and 1. A value above a dynamic **buy threshold** or below a **sell threshold** is required to validate entries. This engine ensures trades are only taken when multiple market characteristics are aligned.
🔄 2. Adaptive Multiplier Engine
This module uses volatility and trend strength to **dynamically scale sensitivity** across:
* Signal thresholds
* SL/TP levels
* Momentum/trend signal weights
The `getAdaptiveMultiplier()` function calculates a multiplier that scales with recent market volatility or trend strength, depending on user input (`adaptiveMode`):
***Volatility: Reacts to how stretched current price ranges are vs. historical
***Trend: Measures slope difference between fast and slow EMAs
This value feeds into:
***Neural Network input scaling**
***Stop loss and take profit multipliers**
**Signal strength thresholds**
📉 3. Higher Timeframe Filters
To eliminate noise, Phoenix AI includes **multi-timeframe confirmation:
***HTF EMA Channel: Price must be above or below a higher-timeframe EMA
***HTF RSI Zones: Confirms overbought/oversold alignment
***HTF Ichimoku Displacement: Ensures price is above/below both Senkou A and B clouds
These filters ensure the **local signal is aligned with macro trend bias** before triggering a trade.
📊 4. RSI Zones (Volatility-Adjusted)
Phoenix dynamically adjusts RSI bounds for entries based on the current volatility ratio:
rsiBuyLow = 60 - adjustment
rsiBuyHigh = 70 - adjustment
rsiSellLow = 30 + adjustment
rsiSellHigh = 40 + adjustment
This makes the system more **forgiving in low-volatility conditions** and tighter in high-volatility markets — a smart way to avoid overreactions in fast-moving environments.
📈 5. Trend Channel (MA Envelope)
An **EMA channel** is plotted using prior candle high/low data:
* `upperMA` = EMA of highs
* `lowerMA` = EMA of lows
This visual aid highlights the **local trend direction and range**, helping filter entries:
***Buy**: Must close above `upperMA`
***Sell**: Must close below `lowerMA`
It also works in tandem with the reset logic: trades aren't re-enabled until price crosses back within the trend channel.
🧮 6. Signal Conditions Logic
All trade signals must pass **multiple layers of validation**:
✅ Buy Signal:
* Neural signal > threshold
* Price above trend channel (local trend bullish)
* RSI within buy zone
* Above both Senkou A & B (local cloud support)
* Higher timeframe confirmation
* Market volatility stable
✅ Sell Signal:
* Neural signal < -threshold
* Price below trend channel
* RSI in sell zone
* Below both Senkou A & B
* HTF bearish structure
* Market volatility stable
This **multi-confluence logic** filters out bad trades and limits overfitting by ensuring **broad agreement across volatility, momentum, trend, and multi-timeframe structure**.
🛡 7. Risk Management Module
Phoenix AI automatically **draws and scales SL/TP lines** based on ATR and adaptive volatility logic:
* SL = `SL Multiplier × ATR`
* TP1/TP2/TP3 = scaled multiples of ATR
Each is plotted dynamically using `line.new()` on signal confirmation. These are not fixed points but adjust to market state, making this suitable for real-time execution or alerts.
💡 8. Visualization & Labels
* Customizable labels print vital market state info:
* Volatility Ratio (VR)
* RSI ranges
* Neural signal output
* Threshold & adaptive values
This on-chart display gives traders immediate insight into the **internal decision logic** of the algorithm before committing to a trade.
🔔 9. Alerts and Signal Plotting
Phoenix AI issues **TradingView alert conditions** for:
* Buy signals (triangle below candle)
* Sell signals (triangle above candle)
* Each includes price, SL, and all 3 TP targets
These alerts are **bar-confirmed** and use `close `, preventing repainting or forward-looking bias.
🧠 Summary: How Everything Connects
| Module | Purpose | Connected To |
| --------------- | -------------------------------- | ------------------------------------------------ |
| Neural Engine | Signal score | Adaptive scaling, RSI, trend, volatility, volume |
| Adaptive Logic | Scales thresholds & trade levels | Risk management, neural signals |
| RSI Zones | Entry filtering | Volatility ratio |
| Trend Channel | Visual filter + reset | Entry conditions |
| HTF Filters | Trend alignment | Final confirmation |
| Risk Management | SL/TP logic | ATR, volatility ratio, adaptive multiplier |
| Alerts & Labels | Execution + insight | All systems combined |
---------------------------------------------------------------------------------------------------------------------
The Phoenix AI indicator is a modular but tightly integrated trading tool that combines multiple technical indicators and adaptive algorithms to generate buy and sell signals. At its core, the indicator uses a combination of volatility, trend, and momentum indicators to identify potential trading opportunities.
The indicator starts by calculating the current volatility of the market using the Average True Range (ATR) indicator. This value is then compared to the historical volatility to determine the volatility ratio. The volatility ratio is used to adjust the dynamic RSI parameters, which are used to identify overbought and oversold conditions in the market.
The indicator also uses a moving average channel to identify the trend direction and potential support and resistance levels. The channel is calculated using the Exponential Moving Average (EMA) of the high and low prices over a specified period.
In addition to the moving average channel, the indicator uses the Ichimoku cloud to gauge the trend strength and potential reversals. The Ichimoku cloud is a comprehensive trend trading system that uses multiple indicators to identify the trend direction and potential support and resistance levels.
The indicator also incorporates a neural network algorithm to generate buy and sell signals. The neural network uses a combination of momentum, trend, and volatility indicators to generate a signal. The signal is then compared to a dynamic threshold to determine whether a trade should be taken.
The dynamic threshold is calculated based on the volatility of the market and the adaptive strength of the indicator. The adaptive strength is a parameter that determines how responsive the indicator is to changes in the market. A higher adaptive strength means that the indicator will be more responsive to changes in the market, while a lower adaptive strength means that the indicator will be less responsive.
The indicator also includes a number of other features, such as a market condition filter and a trading logic system. The market condition filter is used to determine whether the market is stable or volatile, and the trading logic system is used to generate buy and sell signals based on the indicator's calculations.
Overall, the Phoenix AI indicator is a powerful trading tool that can be used to generate buy and sell signals in a variety of markets. Its combination of technical indicators and adaptive algorithms makes it a versatile and effective tool for traders of all levels.
In terms of how each part of the indicator ties into other parts, the volatility ratio is used to adjust the dynamic RSI parameters, which are then used to identify overbought and oversold conditions in the market. The moving average channel is used to identify the trend direction and potential support and resistance levels, while the Ichimoku cloud is used to gauge the trend strength and potential reversals. The neural network algorithm uses a combination of momentum, trend, and volatility indicators to generate a signal, which is then compared to a dynamic threshold to determine whether a trade should be taken.
The logic behind the indicator is to use a combination of technical indicators and adaptive algorithms to generate buy and sell signals. The indicator is designed to be flexible and adaptable to different market conditions, and can be customized using a number of input parameters. The indicator's calculations are based on a combination of technical indicators and market data, and are designed to provide a comprehensive view of the market.
Each indicator used in the Phoenix AI indicator is doing a specific job. The ATR indicator is used to calculate the volatility of the market, while the RSI indicator is used to identify overbought and oversold conditions. The moving average channel is used to identify the trend direction and potential support and resistance levels, while the Ichimoku cloud is used to gauge the trend strength and potential reversals. The neural network algorithm is used to generate buy and sell signals based on a combination of momentum, trend, and volatility indicators.
Overall, the Phoenix AI indicator is a powerful and flexible trading tool that can be used to generate buy and sell signals in a variety of markets. Its combination of technical indicators and adaptive algorithms makes it a versatile and effective tool for traders of all levels.
GCT Multiple TimeFrame EMA and SMA IndicatorIf you have limitation adding multiple indicators, this is for you. This indicator gives you opportunity to have up to 3 EMA and up to 3 SMA on your chart with ability to customise the length, timeframe, colour and width of each EMA or SMA.
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Loom AlgoLoom Algo indicator is a trading tool designed to help identify both trend following opportunities and counter trend ones,
What it does?
Loom Algo combines multiple different types of indicators to produce trend following signals while filtering those signals as much as possible to eradicate low quality ones and avoid taking trend following trades in a choppy market.
How does it work :
The main functionality of this indicator is for it to generate trend following signals based off the STOCHASTIC indicator and then to filter it using different indicators such as the ADX, the McGinley Dynamic, the VWMA, the Kalman Midline, and other ones as well,
The basic way to produce those signals is to look for trend shifts and not for tops or bottoms, so it tries to identify the moments when the trend shifts from bullish to bearish or the opposite based on the Stochastic indicator, but because whenever we have a ranging market we will get choppy and weak signals so here comes to use for filtering indicators such as the ADX as to measure the strength of the trend to verify that we have an actual strong movement before generating a signal, then there is an extra optional layer of filtering with the use of trend following indicators such as the VWMA, so that the indicator would verify that the price has actually started to move in a new direction with momentum and then to generate its signal.
Filtering indicators:
As mentioned earlier i incorporated different indicators within Loom Algo to use as filters for the buy and sell signals to filter out the weak ones as much as possible, each one of them might work differently on different assets and different time frames, so i combined the ones that showed me the best results on different assets and different chart types, and i leave the choice for each user to try the different filtering options on his preferred asset and check the ones that gives the best quality signals for the specific asset, time frame and chart type of the user`s preference.
The colored Volatility bands:
And for the bands the logic is to have a smoothed line that stays with the price in a very smoothed way that first shows the main direction by seeing is the price above or below the midline at the same time the outer bands are made to demonstrate and show mean reversion and counter trend opportunities, so when the price would be extended in one direction it would reach the mid or outer bands and then we can add this to our analysis and understand that there is a higher chance of a reversals at those places,
Summary of features:
buy and sell signals (not to be followed without additional analysis and good risk management)
Volatility bands to clarify price direction better
Optional Stop loss and Take profit
Filtering options to filter out low quality signals
Optional session filter
The Default settings:
The default setting are the best ones i found after testing for Gold, the 5 min chart, and the normal chart candles, as it gives the best results for that asset, the user can change the settings and test as he wishes to find the most suitable set of settings for him,
How to use it?:
Bands settings:
1- Bands Smoothing, is the smoothing of the midline and the the 4 outer bands as they are an identical extension of the midline
2- Bands Distance Type, is the way to calculate the bands distance from the midline whether in percentage or points
3- Outer Band 1 Distance, this is the distance for the first two bands from the midline
4- Outer Band 2 Distance, this is the distance for the second outer two bands from the midline
Signals settings:
1- Filters from 1 to 8 are line indicators that are used as filter so we only take the buy signals when the price is above the filters we turned on or we only take sell signals when the price is under the filters we turned on, and each filter has its own values that we can change
2- ADX filter, this is about turning on or off the ADX filter so we only take trades when the ADX is above certain values to insure that we have a strong trend
3- Momentum type, and Trades speed those are options based of the stochastic indicator to change the frequency of the signals
4- SL and TP, we have both stop loss and take profit options with a choice to turn them on or off, if we turn them off then the indicator is going to close each signal when an opposite signal appears
5- Session filter, this is an option to filter out time, so we can make the indicator only take signals in certain sessions or time spans daily that we choose and it can be turned on or off.
Performance & Testing:
Loom Algo has been back tested with a conservative amount risk per trade, using realistic commission and slippage settings.
While performance may vary based on user settings, the system is designed to adapt to both trending and ranging conditions.
Back testing Settings Used in Preview:
For transparency and realistic expectations, the performance preview of Loom Algo is based on the following strategy settings, chosen to reflect practical trading conditions:
Initial Capital: $10,000 USD
Position Size: 50% of available equity per trade
Commissions: 0.03% per trade
Slippage: 2 ticks
Active Filters:
Filter1 (On)
Filter2 (On)
ADX Filter (On)
Momentum Type: Fast
Trade Speed: 4
Risk Management
Risk controls are enabled to demonstrate realistic position handling:
Stop Loss: 1% (0.01)
Take Profit: 2% (0.02)
Disclaimer: This tool is for educational purposes only. Past performance does not guarantee future results. It does not constitute financial advice or promise of profits.
