Previous Daily High/LowUnderstanding Previous Daily High and Low in Trading
The previous day’s high and low are critical price levels that traders use to identify potential support, resistance, and intraday trading opportunities. These levels represent the highest and lowest prices reached during the prior trading session and often act as reference points for future price action.
Why Are Previous Daily High/Low Important?
Support & Resistance Zones
The previous day’s low often acts as support (buyers defend this level).
The previous day’s high often acts as resistance (sellers defend this level).
Breakout Trading
A move above the previous high suggests bullish momentum.
A move below the previous low suggests bearish momentum.
Mean Reversion Trading
Traders fade moves toward these levels, expecting reversals.
Example: Buying near the previous low in an uptrend.
Institutional Order Flow
Market makers and algos often reference these levels for liquidity.
How to Use Previous Daily High/Low in Trading
1. Breakout Strategy
Long Entry: Price breaks & closes above previous high → bullish continuation.
Short Entry: Price breaks & closes below previous low → bearish continuation.
2. Reversal Strategy
Long at Previous Low: If price pulls back to the prior day’s low in an uptrend.
Short at Previous High: If price rallies to the prior day’s high in a downtrend.
3. Range-Bound Markets
Buy near previous low, sell near previous high if price oscillates between them.
Grafik Paternleri
Candlestick Pattern DetectorAll main Candlestick Pattern are available in this
Candlestick patterns are visual representations of price movements that help traders identify potential trend continuations and reversals in financial markets. Each candlestick displays four key price points: open, high, low, and close for a specific time period.
In trending markets, several patterns prove particularly valuable. **Continuation patterns** signal that the existing trend will likely persist. The bullish engulfing pattern occurs when a large green candle completely engulfs the previous red candle, indicating strong upward momentum. Conversely, a bearish engulfing pattern suggests continued downward movement.
**Hammer and doji patterns** often appear at trend extremes, potentially signaling reversals. A hammer features a small body with a long lower wick, suggesting buyers stepped in after initial selling pressure. Doji candles, where open and close prices are nearly identical, indicate market indecision and possible trend changes.
**Three-candle patterns** like morning and evening stars provide stronger reversal signals. A morning star consists of a bearish candle, followed by a small-bodied candle, then a strong bullish candle, suggesting a potential uptrend reversal.
Successful traders combine candlestick analysis with volume indicators and support/resistance levels for confirmation. While these patterns offer valuable insights into market psychology and potential price movements, they should never be used in isolation for trading decisions.
Smart Money Gap [Algo Seeker]Introduction – Originality and usefulness
It is important for traders to diversify their strategies, and having a few approaches for different situations is key to increasing their odds of success.
These days, substantial information and important events happen so fast and so often that all the noise created afterward makes people forget the events that were actually worth remembering.
The same can be said about trading and investing. Every day, there seems to be something new happening and new price action unfolding, which can make it difficult for traders to filter out the noise and stay focused on relevant events. But for every problem, a solution can be born.
🟠 Unique Features & Trading Benefits
The SMG aims to be a system that helps traders filter out what it deems to be irrelevant noise and stay focused on what matters most. In addition, SMG provides multiple plans and ways to act on that information.
The reason it’s called “Smart Money Gap” is because this algorithm is designed to identify the most relevant price action—whether it's earnings, an economic calendar event, a stock-specific development, major news, or institutional activity. It determines which of these situations is the most current and relevant, and it keeps the focus on that. This means that day in and day out, traders and investors can rely on a consistent plan and framework that is automatically drawn up for them, helping them trade with confidence that they’re acting on meaningful price levels. When the algorithm identifies a new event as more important, it will switch focus and build a new system around that.
SMG also goes a step further—it understands that different types of traders, such as scalpers, swing traders, or investors, have different time horizons and risk tolerance regarding how long they plan to hold a position and how much space and time they are willing to give a move. With that in mind, SMG provides different trading modes for these personas, selecting events that match the criteria needed for that specific trader.
For instance, a scalper may benefit from a smaller, more recent event that provides quick entry and exit opportunities—whereas an investor might focus on something more significant and long-term. SMG takes this into consideration and builds its entire framework accordingly.
🟠 Description of the Unique SMG (Continued) – How It Works Together as One System
The true power of SMG begins once a relevant event is identified, and the entire system is automatically displayed on the user’s chart. From that single event, SMG generates a structured framework that produces three distinct strategies. Each of these strategies takes inspiration from fundamentals within trading but gives it our own unique twist inside the SMG system. These strategies can be used individually or in combination, depending on the trader’s style and market context.
🟢 1. Filling the Smart Money Gap
One of the key opportunities is to trade the SMG itself—the “gap” created by the specific event. Gap fills are a strategy that traders and investors like to use. SMG continuously tracks how much of this unique gap has been filled, so users are never confused about how much remains. They can reference the shaded region or the percentage-left box for clarity.
🟢 2. Targeting SMG-Based Extensions and Retracements
When the SMG zone is created, the algorithm simultaneously generates extension and retracement levels tied to that event. These levels remain anchored to the original structure, providing consistent, event-driven targets. Unlike the constantly redrawn lines many traders adjust throughout the day, these levels stay fixed and reflect meaningful price action—not noise.
🟢 3. Executing Trades Based on SMG Volume
Because SMGs are tied to meaningful events, they often remain valid for an extended time. This is where Anchored VWAP becomes critical. From the moment the event occurs, SMG begins calculating volume-based data. The longer the event goes unchanged, the more powerful and influential the Anchored VWAP and its deviation bands become—due to the increasing accumulation of volume over time. These volume layers not only help refine entries and exits—they also serve as additional points of confluence where traders can place stops, take profits, or re-enter trades with greater context and confidence.
In conclusion:
SMG is designed to help traders diversify their portfolio of strategies even further. It creates an entire system that filters out noise and builds a strategy around a key event—and it will stay focused on that event until another becomes more relevant. SMG gives traders the ability to react calmly, with a plan that is automatically laid out for them. This is a special algorithm that we’ve incorporated into our approach for over three years, and we hope users will find it to be a valuable aid in their trading journey.
🟠 How to Use
Initial Setup
🟢 1. Select Trading Mode:
Choose from six built-in personas—Scalp 1, Scalp 2, Swing 1, Swing 2, Invest 1, and Invest 2—based on your trading style. Each persona adjusts the SMG logic to fit the risk profile and time horizon of that specific persona.
1. Scalp: For intraday movements (minutes to hours)
• Best used on faster charts (1-minute to 30-minute)
2. Swing: For medium-term positions (days to weeks)
• Best used on 1-hour to daily charts
3. Investor: For longer-term positions (weeks to months)
• Best used on 1-hour to daily charts
🟢 2. Choose SMG Update Behavior: Bar Close vs Live Update:
By default, SMG waits until all conditions are met and the bar closes before updating. This ensures confirmed structure and helps avoid noise or repainting.
If “Update Before Bar Closes?” is selected, the algorithm updates as soon as all conditions are met — even if the bar hasn’t closed yet. This allows earlier updates but may result in elements that repaint if the conditions don’t hold through the close.
Keep this setting unchecked if you prefer confirmed, non-repainting elements.
🟢 3. Visual Customization:
Customize the appearance of SMG zones, extension labels, and volume-derived levels via the “SMG Zone” and “Anchored VWAP” settings groups. This includes:
1. Zone colors and opacity
2. Label positions
3. Retracement display toggle
4. Anchored VWAP and ±1, ±2, ±3 deviation bands
Extra Notes on User Customization:
• Bull Box Color – the color used when SMG retracement is active
• Final Bull Box Color – the color used when SMG retracement is finished
• Same logic applies to Bear Box Color and Final Bear Box Color
• Retracement % Label – If the label is hard to see, it may be overlapping with the Fib labels depending on your chart zoom. To adjust, bring the Retracement % Label Indent closer to 1 to shift it left. Then increase the Fib Label Indent value to move those labels further right.
🟠 Strategic Execution
Strategy Usage Example
🟢 1. Entry & Exit Tactics Within the SMG
Use the shaded Smart Money Gap as a decision-making framework. Traders may choose to:
1. Fade a retracement (shorting or exiting as price retraces into the SMG)
2. Enter on signs of continuation (rejoining the move after a partial retrace)
3. Wait for the gap to fill completely and reverse
Volume-weighted Anchored VWAP levels add an additional layer—helping assess whether price is entering or rejecting volume consensus zones.
🟢 2. Extension Targeting:
When price resumes in the original direction, SMG plots potential extension levels. These can be used to:
1 Set take-profit or stop-loss targets
2. Spot exhaustion areas
3 Evaluate whether to scale in, take partial profits, or re-enter a position
🟢 3. Volume-Based Execution via Anchored VWAP:
For traders looking to incorporate volume into execution—especially when an SMG has remained active for an extended period—Anchored VWAP and its deviation bands can be used to:
1. Confirm direction or momentum via VWAP slope and interaction
2. Enter or fade positions at volume-backed levels
3. Set dynamic entries or exits as volume builds or thins across deviations
⚠️Optional Update Behavior: Bar Close vs Live Update
By default, SMG waits until all conditions are met and the bar closes before updating. This ensures confirmed structure and helps avoid noise or repainting.
If “Update Before Bar Closes?” is selected, the algorithm updates as soon as all conditions are met — even if the bar hasn’t closed yet. This allows earlier updates but may result in elements that repaint if the conditions don’t hold through the close.
Keep this setting unchecked if you prefer confirmed, non-repainting elements.
⚠️ Interpreting Anchored VWAP Behavior
Anchored VWAP and its deviation bands become more relevant with time as they widen and separate. While tight and accumulating near price, it may be worth holding off on using VWAP for entries or exits until expansion begins.
🟠 Additional Description – SMG Table Overview
The SMG table presents four key pieces of information to help traders quickly understand the current setup at a glance:
1) If the Algo is set for dynamic or bar close
2) Which trading mode they currently have selected
3) What type of SMG gap is displayed
4) how much of the Retracement is done
🟠 Additional Benefits:
🟢 1. Risk Profile Options
Trading personas allow users to instantly switch between different risk profiles—Scalp, Swing, or Investor—at the click of a button. This helps traders quickly align the system to their preferred holding period and risk tolerance without reconfiguring inputs.
🟢 2. Time Efficiency
SMG saves traders time by creating a complete system around each Smart Money Gap. From gap logic to retracement tracking, extension targets, and volume levels—everything needed to trade the SMG is generated at once, eliminating the need for manual setup or separate tools.
The Smart Money Gap represents years of development and refinement aimed at creating a unified, event-driven trading system. It was designed to help traders manage through the constant noise of the market, and we hope that traders benefit from having an additional tool to support and diversify their trading strategy.
FMT by C.ball [XAUUSD Version]// This Pine Script® code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
// © 2025 Ball Goldricher - For XAUUSD
//@version=5
indicator("FMT by C.ball ", shorttitle="FMT-XAU", overlay=true)
// === Moving Averages ===
ema20 = ta.ema(close, 20)
ema50 = ta.ema(close, 50)
// === Cross Logic ===
crossUp = ta.crossover(close, ema20)
crossDown = ta.crossunder(close, ema20)
// === Persistent Counters ===
var int upCount = 0
var int downCount = 0
// === Count Crosses ===
if crossUp
upCount := upCount + 1
if crossDown
downCount := downCount + 1
// === Entry Signals on 2nd Cross + EMA50 Filter ===
buySignal = crossUp and upCount == 2 and close > ema50
sellSignal = crossDown and downCount == 2 and close < ema50
// === Show Buy/Sell Labels on Chart ===
plotshape(buySignal, title="Buy Signal", location=location.belowbar, color=color.green, style=shape.labelup, text="BUY")
plotshape(sellSignal, title="Sell Signal", location=location.abovebar, color=color.red, style=shape.labeldown, text="SELL")
// === Reset Counters after Entry ===
if buySignal or sellSignal
upCount := 0
downCount := 0
// === Show EMA Lines for Reference ===
plot(ema20, color=color.orange, title="EMA 20")
plot(ema50, color=color.blue, title="EMA 50")
FMT by C.ball// This Pine Script® code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
// © 2025 Ball Goldricher
//@version=5
indicator("FMT by C.ball", shorttitle="FMT", overlay=true)
// === Moving Averages ===
ema20 = ta.ema(close, 20)
ema50 = ta.ema(close, 50)
// === Cross Logic ===
crossUp = ta.crossover(close, ema20)
crossDown = ta.crossunder(close, ema20)
// === Persistent Counters ===
var int upCount = 0
var int downCount = 0
if crossUp
upCount := upCount + 1
if crossDown
downCount := downCount + 1
// === Entry Signals on 2nd Cross + EMA50 condition ===
buySignal = crossUp and upCount == 2 and close > ema50
sellSignal = crossDown and downCount == 2 and close < ema50
// === Plot Buy/Sell Signal ===
plotshape(buySignal, title="Buy Signal", location=location.belowbar, color=color.green, style=shape.labelup, text="BUY")
plotshape(sellSignal, title="Sell Signal", location=location.abovebar, color=color.red, style=shape.labeldown, text="SELL")
// === Reset Counters After Signal ===
if buySignal or sellSignal
upCount := 0
downCount := 0
// === Plot EMAs (Optional for visual confirmation) ===
plot(ema20, color=color.orange, title="EMA 20")
plot(ema50, color=color.blue, title="EMA 50")
Quantum Reversal# 🧠 Quantum Reversal
## **Quantitative Mean Reversion Framework**
This algorithmic trading system employs **statistical mean reversion theory** combined with **adaptive volatility modeling** to capitalize on Bitcoin's inherent price oscillations around its statistical mean. The strategy integrates multiple technical indicators through a **multi-layered signal processing architecture**.
---
## ⚡ **Core Technical Architecture**
### 📊 **Statistical Foundation**
- **Bollinger Band Mean Reversion Model**: Utilizes 20-period moving average with 2.2 standard deviation bands for volatility-adjusted entry signals
- **Adaptive Volatility Threshold**: Dynamic standard deviation multiplier accounts for Bitcoin's heteroscedastic volatility patterns
- **Price Action Confluence**: Entry triggered when price breaches lower volatility band, indicating statistical oversold conditions
### 🔬 **Momentum Analysis Layer**
- **RSI Oscillator Integration**: 14-period Relative Strength Index with modified oversold threshold at 45
- **Signal Smoothing Algorithm**: 5-period simple moving average applied to RSI reduces noise and false signals
- **Momentum Divergence Detection**: Captures mean reversion opportunities when momentum indicators show oversold readings
### ⚙️ **Entry Logic Architecture**
```
Entry Condition = (Price ≤ Lower_BB) OR (Smoothed_RSI < 45)
```
- **Dual-Condition Framework**: Either statistical price deviation OR momentum oversold condition triggers entry
- **Boolean Logic Gate**: OR-based entry system increases signal frequency while maintaining statistical validity
- **Position Sizing**: Fixed 10% equity allocation per trade for consistent risk exposure
### 🎯 **Exit Strategy Optimization**
- **Profit-Lock Mechanism**: Positions only closed when showing positive unrealized P&L
- **Trend Continuation Logic**: Allows winning trades to run until momentum exhaustion
- **Dynamic Exit Timing**: No fixed profit targets - exits based on profitability state rather than arbitrary levels
---
## 📈 **Statistical Properties**
### **Risk Management Framework**
- **Long-Only Exposure**: Eliminates short-squeeze risk inherent in cryptocurrency markets
- **Mean Reversion Bias**: Exploits Bitcoin's tendency to revert to statistical mean after extreme moves
- **Position Management**: Single position limit prevents over-leveraging
### **Signal Processing Characteristics**
- **Noise Reduction**: SMA smoothing on RSI eliminates high-frequency oscillations
- **Volatility Adaptation**: Bollinger Bands automatically adjust to changing market volatility
- **Multi-Timeframe Coherence**: Indicators operate on consistent timeframe for signal alignment
---
## 🔧 **Parameter Configuration**
| Technical Parameter | Value | Statistical Significance |
|-------------------|-------|-------------------------|
| Bollinger Period | 20 | Standard statistical lookback for volatility calculation |
| Std Dev Multiplier | 2.2 | Optimized for Bitcoin's volatility distribution (95.4% confidence interval) |
| RSI Period | 14 | Traditional momentum oscillator period |
| RSI Threshold | 45 | Modified oversold level accounting for Bitcoin's momentum characteristics |
| Smoothing Period | 5 | Noise reduction filter for momentum signals |
---
## 📊 **Algorithmic Advantages**
✅ **Statistical Edge**: Exploits documented mean reversion tendency in Bitcoin markets
✅ **Volatility Adaptation**: Dynamic bands adjust to changing market conditions
✅ **Signal Confluence**: Multiple indicator confirmation reduces false positives
✅ **Momentum Integration**: RSI smoothing improves signal quality and timing
✅ **Risk-Controlled Exposure**: Systematic position sizing and long-only bias
---
## 🔬 **Mathematical Foundation**
The strategy leverages **Bollinger Band theory** (developed by John Bollinger) which assumes that prices tend to revert to the mean after extreme deviations. The RSI component adds **momentum confirmation** to the statistical price deviation signal.
**Statistical Basis:**
- Mean reversion follows the principle that extreme price deviations from the moving average are temporary
- The 2.2 standard deviation multiplier captures approximately 97.2% of price movements under normal distribution
- RSI momentum smoothing reduces noise inherent in oscillator calculations
---
## ⚠️ **Risk Considerations**
This algorithm is designed for traders with understanding of **quantitative finance principles** and **cryptocurrency market dynamics**. The strategy assumes mean-reverting behavior which may not persist during trending market phases. Proper risk management and position sizing are essential.
---
## 🎯 **Implementation Notes**
- **Market Regime Awareness**: Most effective in ranging/consolidating markets
- **Volatility Sensitivity**: Performance may vary during extreme volatility events
- **Backtesting Recommended**: Historical performance analysis advised before live implementation
- **Capital Allocation**: 10% per trade sizing assumes diversified portfolio approach
---
**Engineered for quantitative traders seeking systematic mean reversion exposure in Bitcoin markets through statistically-grounded technical analysis.**
Double Bottom Strategy (Long Only, ATR Trailing Stop + Alerts)Updated chart script:
This script implements a long-only breakout strategy based on the recognition of a Double Bottom price pattern, enhanced with a 50 EMA trend filter and a dynamic ATR-based trailing stop. It is suitable for traders looking to capture reversals in trending markets using a structured pattern-based entry system.
🧠 Key Features:
Double Bottom Detection: Identifies double bottom structures using pivot lows with configurable tolerance.
ATR-Based Trailing Stop: Manages exits using a trailing stop calculated from Average True Range (ATR), dynamically adjusting to market volatility.
EMA Filter (Optional): Filters trades to only go long when price is above the 50 EMA (trend confirmation).
Alerts: Real-time alerts on entry and exit, formatted in JSON for webhook compatibility.
Backtest Range Controls: Customize historical testing period with start and end dates.
✅ Recommended Markets:
Gold (XAUUSD)
S&P 500 (SPX, ES)
Nasdaq (NDX, NQ)
Stocks (Equities)
⚠️ Not recommended for Forex due to differing behavior and noise levels in currency markets.
🛠️ User Guidance:
Tune the pivot period, tolerance, and ATR settings for best performance on your chosen asset.
Backtest thoroughly over your selected date range to assess historical effectiveness.
Use small position sizes initially to test viability in live or simulated environments.
Nifty Trading 5 & 15 Min Confirmation Hariss 369The indicator best suits for all types of intraday trading. Buy and sell signals are reflected in 5 min chart after getting confirmed from 15 min time frame.
Indicators used: VWAP, 20 EMA, KAMA, RSI, MACD and RVOL.
CPR, 20 EMA, 200 EMA, VWAP, KAMA can be plotted over the charts. Trade only when signal is given. PSAR based stop loss have been used which caters the dynamic movement of the market.
5 MAsTitle: 5 MAs — Key Moving Averages + 2h Trend Filter
Description:
This indicator plots five essential moving averages used for identifying market structure, momentum shifts, and trend confirmation across multiple timeframes. It’s designed for traders who blend intraday price action with higher-timeframe context.
Included Averages:
200 SMA (red): Long-term trend direction and dynamic support/resistance.
50 SMA (blue): Medium-term trend guide, often used for pullbacks or structure shifts.
21 EMA (purple): Shorter-term momentum guide — commonly used in trending strategies.
10 EMA (green): Fast momentum line for scalping, intraday setups, or crossover signals.
2h 20 EMA (orange): Higher-timeframe trend filter pulled from the 2-hour chart — adds confluence when trading lower timeframes (e.g., 5m, 15m).
How to Use:
Use the alignment of these MAs to confirm market bias (e.g., all pointing up = strong bullish structure).
Watch for crossovers, price interaction, or dynamic support/resistance at key levels.
The 2h 20 EMA adds a higher timeframe filter to avoid counter-trend trades and spot reversals early.
Best Used For:
Scalping, intraday trading, swing entries, or trend-following systems.
Check OAS of EMAsThis script checks the Optimal Alignment and Slope of the EMA's and prints a label if it finds one.
🔍 1. Optimal Alignment
This refers to the order of EMAs on the chart, which should reflect the trend.
In an uptrend, the alignment might be:
10 EMA above 20 EMA above 50 EMA
In a downtrend:
10 EMA below 20 EMA below 50 EMA
This "stacked" alignment confirms trend strength and direction.
📈 2. Slope
The angle or slope of the EMAs shows momentum.
A steep upward slope = strong bullish momentum.
A steep downward slope = strong bearish momentum.
Flat or sideways slope = weak or no trend (ranging market).
Buy Signal Above 1/3 Candle1 hr candle buy on engulfing candle, basically sends buy signals if 1hr candle closes above 1/3 of its size
Gold Mini Strategy: EMA | RSI | MACD | VWAP | BB | PAGood Script to view all the important indicator into one
SY_Quant_AI_YJ✅ Improved and Compliant Description (for SY_Quant_AI_YJ)
Strategy Name: SY_Quant_AI_YJ
Type: Visual Trend System + MACD Cycle Filter + Smart Alerts
Status: Invite-Only / Visualization & Alerts Only (No order execution)
📌 Overview:
SY_Quant_AI_YJ is a trend-following visual strategy and alert system designed to help traders detect directional bias, time entries with MACD cross logic, and receive structured JSON-format push alerts. It combines Supertrend, EMA/SMA structures, and MACD cycles to build a coherent and actionable trend view, enhanced by visual stop-loss guidance and profit-taking alerts.
🔍 Core Logic:
This script integrates technical components into a multi-step trend confirmation framework:
Supertrend (ATR-based): Serves as the primary trend filter, reducing noise and false breakouts.
EMA-55, SMA-15, SMA-80: Help establish short- to mid-term trend structure.
MACD Cycle Crosses: Configurable for long, medium, or short cycles to adapt to different market phases.
Bar Coloring System: Highlights trend strength (e.g., green for strong bullish, red for bearish), assisting in quick decision-making.
Signal Confirmation: Entry signals (long/short) are confirmed by trend alignment, price structure, and MACD cycle phase.
⚙️ Default Settings:
Supertrend: ATR period 15, multiplier 3.1
MACD Mode: Selectable via dropdown (Long, Medium, Short Cycle)
Stop-Loss Logic: Automatically tied to Supertrend value at entry bar
Signal Filtering: Consecutive same-direction entries are blocked to avoid redundancy
No trading simulation: Entries and exits are visual only; alerts replace real trade execution
📈 Usage:
Long/Short signals are displayed using labelup / labeldown markers (“做多” / “做空”)
JSON-format alerts are triggered for:
✅ Entry zones (including stop-loss and entry range)
✅ Profit-taking when MACD reverses and position is floating in profit
Stop-loss guide lines plotted dynamically during active positions
Suitable for use on 15-minute to 4-hour charts
⚠️ Disclaimer:
This strategy does not simulate or execute trades. It is designed for monitoring and decision support only. All signals are informational and should be used alongside proper risk management and independent analysis. Past visual or alert performance does not guarantee future results.
🔑 Access:
To gain access to this invite-only script, please send a private message or contact us via the designated link. Access is reviewed and granted manually per user request.
IFVG PD BETA 3The IFVG PD (Inverted Fair Value Gap Pro Dashboard) indicator detects inverted fair value gaps based on price inefficiencies. It helps traders identify potential entry zones by visualizing key imbalance areas across timeframes. Ideal for SMC strategies.
Gann Support and Resistance LevelsThis indicator plots dynamic Gann Degree Levels as potential support and resistance zones around the current market price. You can fully customize the Gann degree step (e.g., 45°, 30°, 90°), the number of levels above and below the price, and the price movement per degree to fine-tune the levels to your strategy.
Key Features:
✅ Dynamic levels update automatically with the live price
✅ Adjustable degree intervals (Gann steps)
✅ User control over how many levels to display above and below
✅ Fully customizable label size, label color, and text color for mobile-friendly visibility
✅ Clean visual design for easy chart analysis
How to Use:
Gann levels can act as potential support and resistance zones.
Watch for price reactions at major degrees like 0°, 90°, 180°, and 270°.
Can be combined with other technical tools like price action, trendlines, or Gann fans for deeper analysis.
📌 This tool is perfect for traders using Gann theory, grid-based strategies, or those looking to enhance their visual trading setups with structured levels.
SY_Quant_AI_Trend.1.0✅ Improved and Compliant Description (for SY_Quant_AI_Trend)
Strategy Name: SY_Quant_AI_Trend
Type: Visual Trend Detection & Signal Confirmation System
Status: Invite-Only / Visualization-Only (no trading logic enabled)
📌 Overview:
SY_Quant_AI_Trend is a multi-layered trend detection strategy that visually identifies market direction using a combination of Supertrend, multi-period Exponential Moving Averages (EMAs), and MACD cycle filters. It is designed to assist traders in recognizing key trend phases, potential reversals, and zones of interest for possible entries and exits.
🔍 Core Logic:
This script integrates multiple indicators into a coherent trend analysis framework:
Supertrend is used as the backbone for trend confirmation, smoothing volatility and filtering false breakouts.
EMA structure (e.g. 20, 34, 55) helps identify the momentum and directional bias.
MACD cycles are used to time potential swing entries within broader trends.
Stop-loss guide lines (not orders) are plotted based on recent price structure to help users visualize risk zones.
By combining these elements, the strategy aims to reduce noise and highlight higher-probability directional moves.
⚙️ Default Settings:
Supertrend length: 10–15 for trend clarity without excessive lag
EMAs: Tuned to reflect short-to-mid-term market structure
MACD smoothing: Adjusted to filter choppy signals in low volatility phases
No trades are executed – this script is for visual support and alerts only.
📈 Usage:
The script provides visual trend bias, potential entry zones, and risk references.
Designed for use on 15M–4H timeframes, but flexible across other periods.
Suitable for trend-following, momentum, and pullback traders.
⚠️ Disclaimer:
This script is for educational and informational purposes only. It does not execute or simulate trades. Users must perform their own analysis and apply proper risk management when making trading decisions. Past performance or signal visualization does not guarantee future results.
🔑 Access:
To obtain access to this invite-only script, please send a private message or contact us through our provided link. Access is granted on a per-user basis.
Bearish Shooting RangeThe Bearish Shooting Range is a multi-timeframe RSI-based indicator designed to detect potential bearish reversal zones when the market shows overbought conditions across several timeframes.
What It Does:
✅ Multi-Timeframe RSI Analysis: Monitors RSI values across six selectable timeframes simultaneously (default: 1min to 2hr).
✅ Overbought Signal Detection: Highlights a signal when any of the RSI values exceed your defined overbought threshold (default: 75).
✅ Visual Cue on Chart: When an overbought condition is detected on any timeframe, the background of the current candle is shaded red, indicating a possible bearish opportunity.
✅ Customizable Settings: You can modify the RSI length, overbought level, and all six timeframes directly in the input panel.
✅ Alert-Ready: Built-in alert condition lets you receive real-time notifications when an overbought RSI level is triggered on one or more timeframes.
This tool helps traders identify moments of potential exhaustion in upward momentum, especially when several timeframes align, making it ideal for bearish reversal setups and profit-taking strategies.
You will get the best results if you only use the 1 minute chart in settings and as timeframe.
Bullish Shooting RangeThe Bullish Shooting Range is a multi-timeframe RSI-based indicator designed to detect potential bullish reversal zones when the market shows oversold conditions across several timeframes.
What It Does:
✅ Multi-Timeframe RSI Analysis: Monitors RSI values across six selectable timeframes simultaneously (default: 1min to 2hr).
✅ Oversold Signal Detection: Highlights a signal when any of the RSI values fall below your defined oversold threshold (default: 35).
✅ Visual Cue on Chart: When an oversold condition is detected on any timeframe, the background of the current candle is shaded green, indicating a possible bullish opportunity.
✅ Customizable Settings: You can modify the RSI length, oversold level, and all six timeframes directly in the input panel.
✅ Alert-Ready: Built-in alert condition lets you receive real-time notifications when an oversold RSI level is triggered on one or more timeframes.
This tool helps traders spot moments of potential exhaustion in downward momentum, especially when several timeframes align, making it ideal for bullish reversal setups and dip buying strategies.
You will get the best results if you only use the 1 minute chart in settings and as timeframe.
Sarhan smart map Sarhan Smart Map is an advanced, all-in-one indicator built for smart money traders who rely on market structure, liquidity concepts, and premium/discount frameworks. It visualizes institutional logic in real-time using precise, modular tools.
🔍 Key Features
1. 🔀 Market Structure (CHoCH & BOS)
Automatically detects Break of Structure (BOS) and Change of Character (CHoCH).
Customizable label style, sensitivity, and pivot settings.
Helps track the directional flow of the market.
2. 🧱 Order Blocks (OB)
Detects and displays all significant bullish and bearish order blocks.
Each OB shows internal volume ratio (Buy vs Sell).
Highlights mid-line, mitigated zones, and weak highs/lows.
Color-coded for active vs invalidated OBs.
3. 📉 Fair Value Gaps (FVG)
Identifies price imbalances and gaps across candles.
Supports both standard FVGs and breaker blocks.
Option to show midpoint, mitigation status, and overlaps.
Can detect fakeouts or “raids” within FVG zones.
4. 💦 Liquidity Grabs
Pinpoints buy-side and sell-side liquidity sweeps.
Bubble size reflects strength and candle structure.
Smart filters for wick size, body size, and number of prior candles.
Differentiates real grabs vs fake liquidity moves.
5. 📌 Buyside & Sellside Liquidity Zones
Detects equal highs/lows and draws liquidity zones visually.
Indicates where stop orders and liquidity traps may lie.
6. ⚖️ Premium & Discount Zones
Automatically calculates 50% equilibrium levels of price swings.
Visually highlights premium (above EQ) and discount (below EQ) zones.
Helps identify optimal entry locations based on Smart Money logic.
7. 🕒 Sessions Display (Asia / London / NY)
Displays boxes for major trading sessions on the chart.
Useful for timing strategies and spotting fake moves.
Each session can be toggled and color-customized.
8. 📈 Moving Average (MA) Filter
Built-in MA line (SMA or EMA) for trend bias confirmation.
Adjustable length and visibility for clarity.
9. 🌐 Overall Trend Coloring
Candles dynamically change color based on internal trend logic.
Combines market structure shifts, MA direction, and OB interactions.
⚙️ Settings & Performance
Fully modular: enable/disable any feature.
Adjustable chart history range (bars limit).
Optimized for performance and clarity.
Compatible with all major markets: forex, crypto, indices, metals, stocks.
🔒 Access
This is an invite-only script. Access is granted manually by the author.
Please contact below for licensing:
📬 Telegram: @Sarhan_EA_Support
London Breakout Structure Pro🇬🇧 English:
London Breakout Structure Pro is a trading indicator designed to identify breakout opportunities during the London session, using structural changes, minimum range validations, and risk/reward parameters. It helps traders detect potential entries based on price behavior and session timing.
Smart Money Liquidity Zones ProThe Smart Money Liquidity Zones Pro indicator identifies and visualizes key liquidity areas in the market where institutional traders (smart money) are likely to have placed their stop-loss orders. These zones represent areas of high liquidity that often act as magnets for price, making them valuable reference points for trading decisions.
What the Indicator Does
Core Functionality
Swing Point Detection: The indicator identifies significant swing highs and lows using three different methods (Classic, Fractal, or Combined) to locate potential liquidity pools.
Liquidity Zone Creation: At each valid swing point, the indicator creates a horizontal zone representing an area where stop-loss orders are likely clustered.
Zone Clustering: When multiple swing points occur near the same price level, the indicator intelligently combines them into larger cluster zones, indicating stronger liquidity areas.
Volume Confirmation: The indicator can filter zones based on volume, showing only those swing points that occurred with significant trading volume.
Zone Break Detection: When price closes through a liquidity zone, the indicator marks it as "Liquidity Taken" and removes the zone from the chart.
Zone Types
Buy-Side Liquidity Zones (Green): Created at swing highs where short sellers' stop-losses are likely placed
Sell-Side Liquidity Zones (Red): Created at swing lows where long traders' stop-losses are likely placed
Trading Strategies
Basic Concepts
Liquidity Runs: Price often moves toward these zones to trigger stop-loss orders before reversing. This creates trading opportunities.
Support and Resistance: Unbroken liquidity zones can act as support (sell-side) or resistance (buy-side) levels.
Breakout Confirmation: When price breaks through a zone with strong momentum, it often continues in that direction.
Entry Strategies
Strategy 1: Liquidity Grab Reversa l
Wait for price to spike into a liquidity zone
Look for rejection candles (wicks) at the zone
Enter in the opposite direction after confirmation
Place stop-loss beyond the liquidity zone
Strategy 2: Zone Break Continuation
Wait for price to close decisively through a zone
Enter on the retest of the broken zone
Target the next liquidity zone in the direction of the break
Strategy 3: Zone Clustering Trade
Focus on areas with multiple overlapping zones (clusters)
These areas offer higher probability setups
Trade bounces from cluster zones with tighter risk management
Risk Management
Always use stop-losses beyond the liquidity zones
Consider the overall market context and trend
Zones on higher timeframes are generally more significant
Volume-confirmed zones have higher reliability
Settings Explanation
Swing Detection Settings
Swing Strength (Lookback Bars)
Determines how many bars to look back for swing point validation
Higher values find more significant swings but fewer zones
Recommended settings:
1m-5m charts: 3-5
15m-1h charts: 5-8
Daily charts: 5-10
Weekly charts: 3-5
Monthly charts: 2-3
Adaptive Swing Detection
Automatically adjusts swing detection based on available historical data
Prevents errors when there's limited chart history
Recommended to keep enabled
Minimum Bars for Swing
Sets the absolute minimum bars required for swing detection
Lower values allow detection in limited data conditions
Swing Detection Method
Classic: Strict price comparison for pure swing highs/lows
Fractal: Williams Fractal pattern (2 bars on each side)
Combined: Uses both methods for maximum zone detection
Auto-Adjust for Timeframe
Automatically optimizes settings based on chart timeframe
Prevents inappropriate settings on higher timeframes
Zone Settings
Max Number of Visible Zones
Limits the number of zones displayed to prevent chart clutter
Older zones are automatically removed
Max Zone Duration (Bars)
Zones older than this are automatically deleted
Keeps the chart focused on recent liquidity areas
Enable Zone Clustering
Groups nearby zones into larger clusters
Identifies stronger liquidity areas
Cluster Threshold (%)
Maximum price distance for zones to be clustered
Lower values create tighter clusters
Show Cluster Labels
Displays "Cluster x2", "Cluster x3" etc. on grouped zones
Volume Filter Settings
Enable Volume Filter
When enabled, only creates zones at high-volume swing points
Increases zone quality but reduces quantity
Volume Multiplier
Multiplier for average volume to determine "high volume"
Lower values (0.7-0.9) create more zones
Higher values (1.2+) create fewer, higher-quality zones
Volume SMA Period
Period for calculating average volume
Higher values create smoother volume baseline
Show Volume Confirmation Icon
Displays a fire emoji on volume-confirmed zones
Volume Visualization Settings
Show Volume Dots
Displays dots below high-volume bars
Dynamic Zone Colors
Volume-confirmed zones appear with more intense colors
Show Volume Background
Highlights the chart background on high-volume bars
Visual Settings
Buy-Side/Sell-Side Zone Colors
Customize colors for long and short liquidity zones
Border Width
Thickness of zone borders (1-3)
Show 'Liquidity Taken' Labels
Displays labels when zones are broken
Label Size
Size of the liquidity taken labels
Show Swing Point Markers
Displays triangles at detected swing points
Show Debug Info
Shows diagnostic information for troubleshooting
Dashboard Settings
Show Dashboard
Toggles the information panel display
Dashboard Position
Choose from 6 positions on the chart
Background Color
Dashboard background color
Text Color
Dashboard text color
Text Size
Dashboard text size (tiny/small/normal/large)
Tips for Effective Use
Start with default settings and adjust based on your trading style and timeframe
Use multiple timeframes to identify confluence between zones on different scales
Combine with other indicators like trend analysis or momentum oscillators
Pay attention to clusters as they represent stronger liquidity areas
Monitor volume-confirmed zones for higher probability setups
Adjust zone duration based on your trading timeframe (shorter for scalping, longer for swing trading)
Use the debug feature if zones aren't appearing to understand why
Keep the chart clean by limiting the number of visible zones
Common Issues and Solutions
No zones appearing:
Lower the Swing Strength setting
Switch to Combined detection method
Disable volume filter if active
Check if there's enough historical data
Too many zones:
Increase Swing Strength
Enable volume filter
Reduce Max Number of Visible Zones
Increase Cluster Threshold
Zones disappearing too quickly:
Increase Max Zone Duration
Check if zones are being broken by price
Poor performance on higher timeframes:
Enable Auto-Adjust for Timeframe
Use appropriate Swing Strength for the timeframe
Consider using Classic method instead of Fractal
ALMA Trend-boxALMA Trend-box — an innovative indicator for detecting trend and consolidation based on the ALMA moving average
This indicator combines the Adaptive Laguerre Moving Average (ALMA) with unique visual representations of trend and consolidation zones, providing traders with clearer and deeper insight into current market conditions.
Originality and Usefulness
Unlike classic indicators based on simple moving averages, ALMA uses a Gaussian weighting function and an offset parameter to reduce lag, resulting in smoother and more accurate trend signals. This indicator not only plots the ALMA but also analyzes the slope angle of the ALMA line, combining it with the price’s position relative to the moving average to identify three key market states:
Uptrend (bullish): when the ALMA slope angle is above a defined threshold and the price is above ALMA,
Downtrend (bearish): when the slope angle is below a negative threshold and the price is below ALMA,
Consolidation or sideways trend: when neither of the above conditions is met.
A special contribution is the automatic identification of consolidation zones (periods of weak trend or transition between bullish and bearish phases), visually represented by blue-colored candlesticks on the chart. This feature can help traders better recognize moments when the market is indecisive and adjust their strategies accordingly.
How the Indicator Works
ALMA is calculated using user-defined parameters — length, offset, and sigma — which can be adjusted for different timeframes and instruments.
The slope angle of the ALMA line is calculated based on the difference between the current and previous ALMA values, converted into degrees.
Based on the slope angle and the relative price position to ALMA, the indicator determines the trend type and changes the candle colors accordingly:
Green for bullish (uptrend),
Red for bearish (downtrend),
Blue for sideways trend (consolidation).
When the slope angle falls within a certain range and the price behavior contradicts the trend, the indicator detects consolidation and displays it graphically through semi-transparent boxes and background color.
How to Use This Indicator
Use candle colors for quick identification of the current trend and potential trend reversals.
Pay attention to consolidation zones marked by boxes (blue candles), as these are potential signals for trend breaks or preparation for stronger price moves.
ALMA parameters can be adjusted depending on the timeframe and market volatility, providing flexibility in analysis.
The indicator is useful for both short-term scalping strategies and longer-term trend monitoring and position management.
Why This Indicator is Useful
Many existing trend indicators do not consider the slope angle of the moving average as a quantitative measure of trend strength, nor do they automatically detect consolidations as separate zones. ALMA Trend-box fills this gap by combining sophisticated mathematical processing with simple and intuitive visual representation. This way, users get a tool that helps make decisions based on more objective criteria of trend and consolidation rather than just price location relative to averages.
