Marin Andrei - EMA 20-30 Price Alerts • Regime + Session Filter A clean and reliable trend-following alert system based on the 20 EMA and 30 EMA crossover zone, enhanced with multiple smart filters to eliminate noise and false signals. - configurable.
Core features:
✅ Trend confirmation: Buy only when price is above both EMAs; sell only when below.
📈 Slope & momentum filters: Optional slope and ATR-based spread validation.
🕒 Regime filter: Trade only in the direction of the higher-timeframe EMA trend (e.g., 200 EMA).
⏰ Session control: Limit signals to your preferred trading hours.
🔔 Built-in alerts: Instant notifications for clean buy/sell conditions.
Perfect for traders who want EMA-based precision entries with smarter filters for volatility, session timing, and overall market regime.
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Asian, UK & NY SessionTimes and Day Highs and LowsWhat It Does
The Asian, UK & NY Sessions indicator automatically identifies and highlights the three major global trading sessions on your chart.
For each session, it:
Detects session time in its local timezone.
Tracks the session’s highest and lowest prices.
Plots colored horizontal lines to show those levels throughout the trading day.
Optionally shades each session’s background in its signature color for instant visual context:
🟡 Asian Session: Yellow background
🔴 London Session: Red background
🔵 New York Session: Blue background
This helps traders see how price reacts within and between sessions — spotting overlaps, liquidity zones, and daily ranges.
⚙️ Inputs and Variables
Input Description
Extend lines until next session start (extendLines) Extends each session’s high/low lines forward until the next session begins.
Show prices in scale column (showScaleValues) Controls whether the price labels for session highs/lows appear on the chart’s right-hand price scale.
Show All Session Highs & Lows (showAllHighsLows) Master switch — turn this off to hide all session lines instantly, keeping the chart clean.
Show Session Backgrounds (showBackgrounds) Turns all background shading on or off. When off, all session colors disappear.
Background Opacity (bgOpacityAll) Adjusts the transparency for all session backgrounds (0 = solid, 100 = fully transparent).
🎨 Visual Color Scheme
Session Background High/Low Line
Asian Yellow Green
London Red Red
New York Blue Blue
Each color has a consistent role — making it easy to distinguish sessions even in replay or live view.
Price Tracking:
For each session, the indicator resets High and Low when the new session starts, then updates them as bars print.
Display Control:
If lines or backgrounds are disabled via settings, they’re completely hidden (no clutter, no partial transparency).
💡 How Traders Use It
Identify daily ranges in each global session.
Compare volatility between markets.
Align entries or exits with session transitions.
Observe how price respects previous session highs/lows.
Auto Trendlines**Overview**
- Automatically draws uptrend and downtrend lines by connecting the latest two pivot highs and pivot lows within a symmetric window.
- Designed for clean, reactive trend visualization with minimal user configuration.
**Features**
- Auto-detection of swing pivots and dynamic line updates on new confirmations.
- Optional right extension for forward projection.
- Built-in line styles: `Solid`, `Dashed`, `Dotted`.
- Customizable colors and line width.
- Lightweight and fast for intraday or higher timeframes.
**Inputs**
- `Calculation Period (odd)`: Window size for pivot detection; must be odd to ensure a unique center bar.
- `Uptrend Line Color`: Color for lines drawn from pivot highs.
- `Downtrend Line Color`: Color for lines drawn from pivot lows.
- `Line Style`: `Solid`, `Dashed`, or `Dotted`.
- `Line Width`: Thickness of the trendlines.
- `Extend Right`: Toggle to extend lines into the future.
**How It Works**
- Uses `ta.pivothigh` and `ta.pivotlow` with symmetric left/right bars derived from the chosen period.
- An odd period guarantees a single center bar (`left = right`), aligning the pivot’s time anchor precisely.
- Once a pivot is confirmed (after the required right bars), the script updates or redraws the uptrend and downtrend lines to connect the last two pivots.
**Notes**
- Larger periods produce smoother, more reliable lines; smaller periods react faster but may be noisier.
- Pivot confirmation requires future bars; lines update when new pivots form, reflecting the most recent structure.
- This script focuses on visual analysis and does not include alerts.
**Compatibility**
- Pine Script v6
- Overlay on price chart (`overlay=true`)
- Optimized for TradingView publication with minimal performance overhead.
**Keywords**
- Trendlines, Auto Trendlines, Pivots, Swing High/Low, Technical Analysis, Pine Script v6
Strat 2-1-2 Reversal Alerts v2Trying out a new alert! first time. be nice, this will be cool thos!!! woooho
LW Outside Day Strategy[SpeculationLab]This strategy is inspired by the “Outside Day” concept introduced by Larry Williams in Long-Term Secrets to Short-Term Trading, and has been extended with configurable risk management tools and realistic backtesting parameters.
Concept
The “Outside Day” is a classic price action pattern that reflects strong market rejection or continuation pressure.
An Outside Bar occurs when the current bar’s high exceeds the previous high and the low falls below the previous low.
A body-size filter ensures only significant candles are included.
Entry Logic
Buy setup: Price closes below the previous low (bullish rejection).
Sell setup: Price closes above the previous high (bearish rejection).
Only confirmed bars are used (no intrabar signals).
Stop-Loss Modes
Prev Low/High: Uses the previous swing point ± ATR-based buffer.
ATR: Dynamic stop based on Average True Range × multiplier.
Fixed Pips: User-defined fixed distance (for forex testing).
Take-Profit Modes
Prev High/Low (PHL): Exits near the opposite swing.
Risk-Reward (RR): Targets a user-defined multiple of the stop distance (default = 2 : 1).
Following Price Open (FPO): Exits on the next bar’s open if price opens in profit (used to test overnight price continuation).
Risk Management & Backtest Settings
Default risk per trade is set at 10% of account equity (user-adjustable).
Commission = 0.1% and slippage = 2 ticks are applied to simulate realistic conditions.
For reliable statistics, test on data that yields over 100 trades.
Suitable for daily and 4-hour timeframes across stocks, forex, and crypto markets.
Visual Elements
Green and red triangles show entry signals.
Stop-loss (red) and take-profit (green) reference lines are drawn for clarity.
Optional alerts notify when a valid setup forms.
Disclaimer
This script is for educational and research purposes only.
It does not constitute financial advice or guarantee profits.
Always backtest thoroughly and manage your own risk.
Enhancements over Classic Outside Bar Models
Adjustable stop and target logic with ATR and buffer multipliers.
“Following Price Open” exit logic for realistic day-end management.
Optimized to avoid repainting and bar-confirmation issues.
Built with realistic trading costs and position sizing.
策略逻辑
外包线识别
当日最高价高于前一日最高价，且当日最低价低于前一日最低价，即形成外包线。
同时过滤掉较小实体的 K 线，仅保留实体显著大于前一根的形态。
方向过滤
收盘价低于前一日最低价 → 视为买入信号。
收盘价高于前一日最高价 → 视为卖出信号。
止损设置（可选参数）
前低/高止损：以形态前低/前高为止损，带有缓冲倍数。
ATR 止损：根据平均波动率（ATR）动态调整。
固定点数止损：按照用户设定的点数作为止损范围。
止盈设置（可选参数）
前高/低止盈（PHL）：以前高/前低为目标。
固定盈亏比（RR）：根据用户设定的风险回报比自动计算。
隔夜开盘（FPO）：若次日开盘价高于进场价（多单）或低于进场价（空单），则平仓。
信号标记
在图表中标注买入/卖出信号（三角形标记）。
绘制止损与目标位参考线。
使用说明
适用周期：建议用于 日线图（Daily）。
适用市场：股票、外汇、加密货币等各类市场均可。
提示：此策略为历史研究与学习用途，不构成投资建议。实际交易请结合自身风险管理。
NYSE FOMO Indicator (Up/Down Volume Ratio)This script plots the NYSE Sentiment Gauge, based on the daily Up/Down Volume Ratio (UVOL ÷ DVOL).
It measures crowd emotion in the overall market:
• ≥ 3 = Red: FOMO, extreme buying.
• 2–3 = Yellow: Cautious optimism.
• 0.5–2 = Grey: Neutral zone.
• 0.33–0.5 = Green: Emerging fear.
• ≤ 0.33 = Bright Green: Panic selling, potential bottom.
The line color and chart background change according to these zones, visually showing shifts in market sentiment.
Swing Data - SimplifiedThe swing data indicator by jfsrev but simplified. Thank you jfsrev for your work!
Multi-TF MA Overlay (Double + Regular)Displays multiple moving averages from various timeframes (1m–30m) overlaid on a single chart.
Includes two independent MA sets for comparison and a same-timeframe regular MA.
All parameters are customizable.
Disclaimer: For visual analysis only — not financial advice.
Orderflow Label with OffsetThis Pine Script automatically displays orderflow labels on the chart to visualize the current market structure and potential breakout or reversal zones.
It compares the current candle’s high and low with those of the previous cycle (e.g., 90 minutes) and places descriptive labels that highlight possible bullish or bearish behavior.
Functionality & Logic (Step-by-step explanation)
Inputs:
cycleLength: Defines the duration of one “cycle” in minutes (for example, 90 minutes).
labelXOffset: Moves the label a few bars to the right, so it doesn’t overlap the current candle.
labelStyleOffset: Controls whether labels appear pointing to the right or left side of the chart.
Previous Cycle:
The script uses request.security to retrieve the high and low from the previous cycle timeframe.
These act as reference points (similar to key levels or market structure highs/lows).
Current Candle:
The script reads the current bar’s high, low, and close values for comparison.
Orderflow Conditions:
bullSupport: The current high and close are both above the previous high → bullish breakout (strong continuation).
bullReject: The high breaks above the previous high but closes below → bullish rejection / possible top.
bearRes: The low and close are both below the previous low → bearish breakdown (continuation to downside).
bearReclaim: The low goes below the previous low but closes above → bearish reclaim / possible reversal.
Label Logic:
Before creating a new label, the previous one is deleted (label.delete(flowLbl)) to avoid clutter.
The label’s X position is shifted using xPos = bar_index + labelXOffset.
The style (left/right) is set based on the user’s preference.
Displayed Labels:
🟢 Bullish Breakout → price closes above the previous cycle high.
🟠 Bullish Rejection → fake breakout or possible top.
🔴 Bearish Breakdown → price closes below the previous cycle low.
🟡 Bearish Reclaim → failed breakdown or potential trend reversal.
⚪ Neutral (Wait) → no clear signal, advises patience and watching for setups (like CHoCH or FVGs).
Visual Behavior:
The labels appear slightly to the right of the bar for better visibility.
The color and text alignment dynamically adjust depending on whether the label is pointing left or right.
aEMA Cross - Long EditionaEMA Cross – Long Edition
Smart, Automated, and Rule-Based Trading Framework
Overview:
The aEMA Cross – Long Edition is an advanced automated trading system that intelligently identifies trends, filters weak signals, and manages trades with precision. It integrates EMA crossover logic, breakout candle confirmation, and time-based exits to help traders capture consistent opportunities while minimizing risk and manual intervention.
Designed and developed with algorithmic trading platforms in mind, the indicator can be seamlessly integrated with most Algo platforms through TradingView alerts for automated execution.
Note: The default setup is optimized for the ETHUSD chart.
Core Concept:
The strategy is built around two Exponential Moving Averages (EMAs):
- Short EMA – Responds quickly to short-term market changes.
- Long EMA (default 200) – Represents the overall market trend.
When the Short EMA crosses specific buffer zones around the Long EMA, it confirms genuine momentum before generating Buy or Sell signals. This ensures cleaner and more reliable trade entries.
Key Features:
1. Signal Generation
• Dual logic modes: Candle-based or EMA-based signal detection.
• Breakout Candle System to confirm strong price movements before entries.
• Integrated RSI and ADX filters to ensure trades occur only in favorable market conditions.
2. Smart Trade Management
• Automated Target and Stoploss management.
• Trailing Stop Loss (TSL) dynamically locks in profits as prices move favorably.
• Sequential Signal Logic ensures no repeated or conflicting trade signals.
3. Universal Exit (Time-Based Auto Exit)
• Automatically exits all positions at a specified time (e.g., 23:40).
• Works consistently across all timeframes (1m, 3m, 5m, etc.).
• Can be configured for selected weekdays or every trading day.
• Prevents overnight exposure and resets trading cleanly for the next session.
4. Safety and Control
• EMA buffer zones help avoid false breakouts and choppy market signals.
• Blocks new entries after a Universal Exit until a fresh crossover occurs.
• Automatically resets breakout levels and internal logic daily for consistency.
5. Visualization and Alerts
• Plots EMAs, buffer zones, breakout levels, and entry/exit markers directly on the chart.
• Highlights the Universal Exit visually with background shading.
• Sends real-time alerts for Buy, Sell, Exit, and Universal Exit events.
Why It Stands Out:
• Works reliably across multiple timeframes.
• Fully rule-based with no emotional bias.
• Highly customizable – adjust filters, targets, buffers, and exit rules as needed.
• Complete framework – handles entry, management, and exit automatically.
• Engineered for compatibility – can be integrated with most Algo trading platforms.
How It Works:
1. The Short EMA and Long EMA define the primary market direction.
2. A breakout or EMA crossover triggers a potential signal.
3. RSI and ADX filters confirm market strength before allowing entry.
4. Target, Stoploss, and TSL manage trades automatically.
5. Universal Exit closes all trades at a defined time, resetting the logic for the next session.
How to Use:
1. Apply the aEMA Cross – Long Edition indicator to your chart.
2. Choose your primary logic: Candle-based or Short EMA-based.
3. Adjust RSI, ADX, Buffer, and Target/SL settings according to your trading style.
4. Configure Universal Exit time and alert options.
5. Use the “Once Per Bar Close” alert type for confirmed signals.
6. Always backtest your configuration before enabling automation or live execution.
Important Note on Alert Setup:
- When using the RSI filter, signals may fluctuate if RSI hovers near the trigger level. To avoid this, use “Once Per Bar Close” for stable and confirmed alerts.
- If RSI is disabled, “Once Per Bar” alerts can be safely used, even when the Breakout Candle High/Low Crossover option is enabled.
Disclaimer:
• This strategy is intended for educational and research purposes only.
• It does not guarantee profits. Always perform proper backtesting and apply sound risk management before live trading.
• The author is not responsible for any financial losses resulting from its use.
Developer Information:
Developer: ikunalsingh
Built using AI + the best of human logic.
Algo BOT 4.0 Strategy Description:
Algo BOT 4.0 is a sophisticated multi-timeframe trading strategy that identifies high-probability reversal points using technical confluence. The strategy combines:
Core Components:
Multi-timeframe Pivot Analysis: Daily, Weekly, and Monthly pivot points with CPR (Central Pivot Range)
RSI Momentum Filter: Higher timeframe RSI (user-configurable) for trend bias
VWAP Dynamics: Volume-weighted average price with moving averages
Fibonacci Strength Analysis: Candle close positions relative to 38.2% Fib levels
Advanced Cooldown System: Prevents overtrading with dynamic gap requirements
Entry Logic:
Long Entries: RSI < 57 with bullish candle structure at key support levels
Short Entries: RSI > 43 with bearish candle structure at key resistance levels
Zone-based Filtering: Identifies trades near significant pivot points (D PP, D R1, D S1, W PP, M PP, VWAP)
Risk Management:
Dynamic cooldown periods between trades
Gap-based entry optimization to ensure sufficient price movement
Extreme price tracking for better entry timing
Multi-condition validation to reduce false signals
Alert System:
Real-time alerts for both long and short entries
Includes price, RSI value, and zone information
Visual signals with triangle markers on chart
Comprehensive status monitoring with cooldown timer
MA Cloud - Desh videsh TradingDescription:
Visualize market trends with ease using the MA Cloud + Configurable Long-Term MA indicator! This tool allows traders to quickly assess short-to-medium-term and long-term trends using customizable moving averages (EMA, WMA, SMA).
Features:
MA Cloud (35–65 default):
Represents a zone of short-to-medium term trend.
Cloud turns green when above the long-term MA → bullish trend.
Cloud turns red when below the long-term MA → bearish trend.
Gray when the trend is neutral or mixed.
Long-Term MA Line:
Fully configurable MA type (EMA/WMA/SMA) and length (default 200).
Acts as a filter for overall market trend.
Trend Label:
Displays “TREND: BULL / BEAR / NEUTRAL” on the latest bar.
Provides quick visual reference of market direction.
Customizable Inputs:
Choose MA type for each cloud line: EMA, WMA, or SMA
Adjust MA lengths for cloud lines and long-term trend line
Customize cloud and line colors for better chart visualization
How to Use:
Bullish Trend: Cloud above long-term MA → focus on long positions
Bearish Trend: Cloud below long-term MA → focus on short positions
Neutral Trend: Cloud overlapping long-term MA → avoid directional trades
Bala RSI + BLOCKSThis indicator combines RSI momentum analysis with order block detection to highlight high-probability reversal and continuation zones. It’s designed for traders who want to align institutional footprints with momentum exhaustion or strength.
✅ Key Features
Automatic Order Block Detection
Identifies bullish and bearish order blocks based on price structure shifts and liquidity zones.
RSI-Driven Confirmation
Uses RSI to filter or validate order blocks (e.g., oversold for bullish zones, overbought for bearish zones).
Clear Visual Marking
Highlights order blocks directly on the chart for quick decision-making.
Works Across Timeframes
Suitable for intraday, swing, and positional strategies.
🎯 Use Cases
Spot potential reversal zones with RSI confluence
Confirm order blocks with momentum exhaustion
Combine with price action for refined entries/exits
⚠️ Disclaimer
This tool is for educational and analytical use only. It does not constitute financial advice. Always combine with your own strategy and risk management.
VWAL Cloud + 200 Trend (v6) — Desh Videsh TradingDescription:
Visualize market trends easily with the VWAL Cloud + 200 Trend Indicator! This indicator is designed for traders who want a clear, intuitive view of trend direction using volume-weighted average lines (VWAL).
Features:
VWAL Cloud :
Shows the short-to-medium term trend zone.
Turns green when the cloud is above the 200-period VWAL (bullish).
Turns red when the cloud is below the 200-period VWAL (bearish).
Gray when the trend is neutral or mixed.
VWAL 200 Line:
Represents the long-term trend filter.
Helps identify overall market direction.
Trend Label:
Displays “TREND: BULL / BEAR / NEUTRAL” on the latest bar for quick visual reference.
How to Use:
Bullish Trend: Cloud above VWAL-200 → look for long setups.
Bearish Trend: Cloud below VWAL-200 → look for short setups.
Neutral Trend: Cloud overlapping VWAL-200 → avoid taking directional trades.
Customizable Inputs:
Cloud periods: can be changed as per your strategy
VWAL 200 period: adjust to suit longer-term trend detection
Cloud & line colors for personal preferences
MACD Enhanced [DCAUT]█ MACD Enhanced
📊 ORIGINALITY & INNOVATION
The MACD Enhanced represents a significant improvement over traditional MACD implementations. While Gerald Appel's original MACD from the 1970s was limited to exponential moving averages (EMA), this enhanced version expands algorithmic options by supporting 21 different moving average calculations for both the main MACD line and signal line independently.
This improvement addresses an important limitation of traditional MACD: the inability to adapt the indicator's mathematical foundation to different market conditions. By allowing traders to select from algorithms ranging from simple moving averages (SMA) for stability to advanced adaptive filters like Kalman Filter for noise reduction, this implementation changes MACD from a fixed-algorithm tool into a flexible instrument that can be adjusted for specific market environments and trading strategies.
The enhanced histogram visualization system uses a four-color gradient that helps communicate momentum strength and direction more clearly than traditional single-color histograms.
📐 MATHEMATICAL FOUNDATION
The core calculation maintains the proven MACD formula: Fast MA(source, fastLength) - Slow MA(source, slowLength), but extends it with algorithmic flexibility. The signal line applies the selected smoothing algorithm to the MACD line over the specified signal period, while the histogram represents the difference between MACD and signal lines.
Available Algorithms:
The implementation supports a comprehensive spectrum of technical analysis algorithms:
Basic Averages: SMA (arithmetic mean), EMA (exponential weighting), RMA (Wilder's smoothing), WMA (linear weighting)
Advanced Averages: HMA (Hull's low-lag), VWMA (volume-weighted), ALMA (Arnaud Legoux adaptive)
Mathematical Filters: LSMA (least squares regression), DEMA (double exponential), TEMA (triple exponential), ZLEMA (zero-lag exponential)
Adaptive Systems: T3 (Tillson T3), FRAMA (fractal adaptive), KAMA (Kaufman adaptive), MCGINLEY_DYNAMIC (reactive to volatility)
Signal Processing: ULTIMATE_SMOOTHER (low-pass filter), LAGUERRE_FILTER (four-pole IIR), SUPER_SMOOTHER (two-pole Butterworth), KALMAN_FILTER (state-space estimation)
Specialized: TMA (triangular moving average), LAGUERRE_BINOMIAL_FILTER (binomial smoothing)
Each algorithm responds differently to price action, allowing traders to match the indicator's behavior to market characteristics: trending markets benefit from responsive algorithms like EMA or HMA, while ranging markets require stable algorithms like SMA or RMA.
📊 COMPREHENSIVE SIGNAL ANALYSIS
Histogram Interpretation:
Positive Values: Indicate bullish momentum when MACD line exceeds signal line, suggesting upward price pressure and potential buying opportunities
Negative Values: Reflect bearish momentum when MACD line falls below signal line, indicating downward pressure and potential selling opportunities
Zero Line Crosses: MACD crossing above zero suggests transition to bullish bias, while crossing below indicates bearish bias shift
Momentum Changes: Rising histogram (regardless of positive/negative) signals accelerating momentum in the current direction, while declining histogram warns of momentum deceleration
Advanced Signal Recognition:
Divergences: Price making new highs/lows while MACD fails to confirm often precedes trend reversals
Convergence Patterns: MACD line approaching signal line suggests impending crossover and potential trade setup
Histogram Peaks: Extreme histogram values often mark momentum exhaustion points and potential reversal zones
🎯 STRATEGIC APPLICATIONS
Comprehensive Trend Confirmation Strategies:
Primary Trend Validation Protocol:
Identify primary trend direction using higher timeframe (4H or Daily) MACD position relative to zero line
Confirm trend strength by analyzing histogram progression: consistent expansion indicates strong momentum, contraction suggests weakening
Use secondary confirmation from MACD line angle: steep angles (>45°) indicate strong trends, shallow angles suggest consolidation
Validate with price structure: trending markets show consistent higher highs/higher lows (uptrend) or lower highs/lower lows (downtrend)
Entry Timing Techniques:
Pullback Entries in Uptrends: Wait for MACD histogram to decline toward zero line without crossing, then enter on histogram expansion with MACD line still above zero
Breakout Confirmations: Use MACD line crossing above zero as confirmation of upward breakouts from consolidation patterns
Continuation Signals: Look for MACD line re-acceleration (steepening angle) after brief consolidation periods as trend continuation signals
Advanced Divergence Trading Systems:
Regular Divergence Recognition:
Bullish Regular Divergence: Price creates lower lows while MACD line forms higher lows. This pattern is traditionally considered a potential upward reversal signal, but should be combined with other confirmation signals
Bearish Regular Divergence: Price makes higher highs while MACD shows lower highs. This pattern is traditionally considered a potential downward reversal signal, but trading decisions should incorporate proper risk management
Hidden Divergence Strategies:
Bullish Hidden Divergence: Price shows higher lows while MACD displays lower lows, indicating trend continuation potential. Use for adding to existing long positions during pullbacks
Bearish Hidden Divergence: Price creates lower highs while MACD forms higher highs, suggesting downtrend continuation. Optimal for adding to short positions during bear market rallies
Multi-Timeframe Coordination Framework:
Three-Timeframe Analysis Structure:
Primary Timeframe (Daily): Determine overall market bias and major trend direction. Only trade in alignment with daily MACD direction
Secondary Timeframe (4H): Identify intermediate trend changes and major entry opportunities. Use for position sizing decisions
Execution Timeframe (1H): Precise entry and exit timing. Look for MACD line crossovers that align with higher timeframe bias
Timeframe Synchronization Rules:
Daily MACD above zero + 4H MACD rising = Strong uptrend context for long positions
Daily MACD below zero + 4H MACD declining = Strong downtrend context for short positions
Conflicting signals between timeframes = Wait for alignment or use smaller position sizes
1H MACD signals only valid when aligned with both higher timeframes
Algorithm Considerations by Market Type:
Trending Markets: Responsive algorithms like EMA, HMA may be considered, but effectiveness should be tested for specific market conditions
Volatile Markets: Noise-reducing algorithms like KALMAN_FILTER, SUPER_SMOOTHER may help reduce false signals, though results vary by market
Range-Bound Markets: Stability-focused algorithms like SMA, RMA may provide smoother signals, but individual testing is required
Short Timeframes: Low-lag algorithms like ZLEMA, T3 theoretically respond faster but may also increase noise
Important Note: All algorithm choices and parameter settings should be thoroughly backtested and validated based on specific trading strategies, market conditions, and individual risk tolerance. Different market environments and trading styles may require different configuration approaches.
📋 DETAILED PARAMETER CONFIGURATION
Comprehensive Source Selection Strategy:
Price Source Analysis and Optimization:
Close Price (Default): Most commonly used, reflects final market sentiment of each period. Best for end-of-day analysis, swing trading, daily/weekly timeframes. Advantages: widely accepted standard, good for backtesting comparisons. Disadvantages: ignores intraday price action, may miss important highs/lows
HL2 (High+Low)/2: Midpoint of the trading range, reduces impact of opening gaps and closing spikes. Best for volatile markets, gap-prone assets, forex markets. Calculation impact: smoother MACD signals, reduced noise from price spikes. Optimal when asset shows frequent gaps, high volatility during specific sessions
HLC3 (High+Low+Close)/3: Weighted average emphasizing the close while including range information. Best for balanced analysis, most asset classes, medium-term trading. Mathematical effect: 33% weight to high/low, 33% to close, provides compromise between close and HL2. Use when standard close is too noisy but HL2 is too smooth
OHLC4 (Open+High+Low+Close)/4: True average of all price points, most comprehensive view. Best for complete price representation, algorithmic trading, statistical analysis. Considerations: includes opening sentiment, smoothest of all options but potentially less responsive. Optimal for markets with significant opening moves, comprehensive trend analysis
Parameter Configuration Principles:
Important Note: Different moving average algorithms have distinct mathematical characteristics and response patterns. The same parameter settings may produce vastly different results when using different algorithms. When switching algorithms, parameter settings should be re-evaluated and tested for appropriateness.
Length Parameter Considerations:
Fast Length (Default 12): Shorter periods provide faster response but may increase noise and false signals, longer periods offer more stable signals but slower response, different algorithms respond differently to the same parameters and may require adjustment
Slow Length (Default 26): Should maintain a reasonable proportional relationship with fast length, different timeframes may require different parameter configurations, algorithm characteristics influence optimal length settings
Signal Length (Default 9): Shorter lengths produce more frequent crossovers but may increase false signals, longer lengths provide better signal confirmation but slower response, should be adjusted based on trading style and chosen algorithm characteristics
Comprehensive Algorithm Selection Framework:
MACD Line Algorithm Decision Matrix:
EMA (Standard Choice): Mathematical properties: exponential weighting, recent price emphasis. Best for general use, traditional MACD behavior, backtesting compatibility. Performance characteristics: good balance of speed and smoothness, widely understood behavior
SMA (Stability Focus): Equal weighting of all periods, maximum smoothness. Best for ranging markets, noise reduction, conservative trading. Trade-offs: slower signal generation, reduced sensitivity to recent price changes
HMA (Speed Optimized): Hull Moving Average, designed for reduced lag. Best for trending markets, quick reversals, active trading. Technical advantage: square root period weighting, faster trend detection. Caution: can be more sensitive to noise
KAMA (Adaptive): Kaufman Adaptive MA, adjusts smoothing based on market efficiency. Best for varying market conditions, algorithmic trading. Mechanism: fast smoothing in trends, slow smoothing in sideways markets. Complexity: requires understanding of efficiency ratio
Signal Line Algorithm Optimization Strategies:
Matching Strategy: Use same algorithm for both MACD and signal lines. Benefits: consistent mathematical properties, predictable behavior. Best when backtesting historical strategies, maintaining traditional MACD characteristics
Contrast Strategy: Use different algorithms for optimization. Common combinations: MACD=EMA, Signal=SMA for smoother crossovers, MACD=HMA, Signal=RMA for balanced speed/stability, Advanced: MACD=KAMA, Signal=T3 for adaptive behavior with smooth signals
Market Regime Adaptation: Trending markets: both fast algorithms (EMA/HMA), Volatile markets: MACD=KALMAN_FILTER, Signal=SUPER_SMOOTHER, Range-bound: both slow algorithms (SMA/RMA)
Parameter Sensitivity Considerations:
Impact of Parameter Changes:
Length Parameter Sensitivity: Small parameter adjustments can significantly affect signal timing, while larger adjustments may fundamentally change indicator behavior characteristics
Algorithm Sensitivity: Different algorithms produce different signal characteristics. Thoroughly test the impact on your trading strategy before switching algorithms
Combined Effects: Changing multiple parameters simultaneously can create unexpected effects. Recommendation: adjust parameters one at a time and thoroughly test each change
📈 PERFORMANCE ANALYSIS & COMPETITIVE ADVANTAGES
Response Characteristics by Algorithm:
Fastest Response: ZLEMA, HMA, T3 - minimal lag but higher noise
Balanced Performance: EMA, DEMA, TEMA - good trade-off between speed and stability
Highest Stability: SMA, RMA, TMA - reduced noise but increased lag
Adaptive Behavior: KAMA, FRAMA, MCGINLEY_DYNAMIC - automatically adjust to market conditions
Noise Filtering Capabilities:
Advanced algorithms like KALMAN_FILTER and SUPER_SMOOTHER help reduce false signals compared to traditional EMA-based MACD. Noise-reducing algorithms can provide more stable signals in volatile market conditions, though results will vary based on market conditions and parameter settings.
Market Condition Adaptability:
Unlike fixed-algorithm MACD, this enhanced version allows real-time optimization. Trending markets benefit from responsive algorithms (EMA, HMA), while ranging markets perform better with stable algorithms (SMA, RMA). The ability to switch algorithms without changing indicators provides greater flexibility.
Comparative Performance vs Traditional MACD:
Algorithm Flexibility: 21 algorithms vs 1 fixed EMA
Signal Quality: Reduced false signals through noise filtering algorithms
Market Adaptability: Optimizable for any market condition vs fixed behavior
Customization Options: Independent algorithm selection for MACD and signal lines vs forced matching
Professional Features: Advanced color coding, multiple alert conditions, comprehensive parameter control
USAGE NOTES
This indicator is designed for technical analysis and educational purposes. Like all technical indicators, it has limitations and should not be used as the sole basis for trading decisions. Algorithm performance varies with market conditions, and past characteristics do not guarantee future results. Always combine with proper risk management and thorough strategy testing.
TopStep A+ Pro StrategyTopStep A+ Pro Strategy
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Real-Time Risk Calculator (v6) - FixedRisk calculator based on account size and a low of day stop loss
Crypto Mean Reversion System (Pullback & Bounce)Mean Reversion Theory
The indicator operates on the principle that extreme price movements in crypto markets tend to revert toward their mean over time.
Consider this a valuable aid for your dollar-cost averaging strategy, effectively identifying periods ripe for accumulating or divesting from the market.
Research shows that:
Short-term momentum often persists briefly after surges, but extreme moves trigger mean reversion
Sharp drops exhibit strong bounce patterns, especially after capitulation events
Longer timeframes (7-day) show stronger mean reversion tendencies than shorter ones (1-day)
Timeframe Analysis
1-Day Timeframe
Pullback probabilities: 45-85% depending on surge magnitude
Bounce probabilities: 55-95% depending on drop severity
Captures immediate overextension and panic selling
More volatile but faster signal generation
7-Day Timeframe
Pullback probabilities: 50-90% (higher confidence)
Bounce probabilities: 50-90% (slightly moderated)
Filters out noise and identifies sustained trends
Stronger mean reversion signals due to extended moves
Probability Tiers
Pullback Risk (After Surges)
Moderate (45-60%): 5-10% surge → Expected -3% to -12% pullback
High (55-70%): 10-15% surge → Expected -5% to -18% pullback
Very High (65-80%): 15-25% surge → Expected -10% to -25% pullback
Extreme (75-90%): 25%+ surge → Expected -15% to -40% pullback
Bounce Probability (After Drops)
Moderate (55-65%): -5% to -10% drop → Expected +3% to +10% bounce
High (65-75%): -10% to -15% drop → Expected +6% to +18% bounce
Very High (75-85%): -15% to -25% drop → Expected +10% to +30% bounce
Extreme (85-95%): -25%+ drop → Expected +18% to +45% bounce
The probability ranges are derived from:
Crypto volatility patterns: Higher volatility than traditional assets creates stronger mean reversion
Behavioral finance: Extreme moves trigger emotional trading (FOMO/panic) that reverses
Historical backtesting: Probability estimates based on typical reversion patterns in crypto markets
Timeframe correlation: Longer timeframes show increased reversion probability due to reduced noise
Key Features
Dual-direction signals: Identifies both overbought (pullback) and oversold (bounce) conditions
Multi-timeframe confirmation: 1D and 7D analysis for different trading styles
Customizable thresholds: Adjust sensitivity based on asset volatility
Visual alerts: Color-coded labels and table for quick assessment
Risk categorization: Clear severity levels for position sizing
特典インジケーター （ボリンジャーバンド+移動平均線）BTCやSP500向けのチャート解析ツールです。
- ボリンジャーバンド（オレンジ上下線、水色中央線）
- EMA5（青線）、EMA25（黄色線）、EMA200（赤線）
使い方のポイント
- トレンド判定: EMA200（赤）より上なら上昇基調、下なら下降基調が優勢。
- 短中期の勢い: EMA5（青）とEMA25（黄）のゴールデンクロス／デッドクロスで勢いの変化を確認。
- ボラティリティと逆張り: ボリンジャーバンドの上限／下限タッチは伸びの継続か反転の初動かを、中央線（基準・水色）復帰でフォロー確認。
- 時間軸: 1時間～4時間は短期、日足は中期のトレンド確認に適合。複数時間軸で整合性を取ると精度が上がります。
ツールの解説
ボリンジャーバンド（Bollinger Bands）
ボリンジャーバンドは、20期間の単純移動平均（SMA）を中央線とし、その上下に標準偏差×2のバンドを配置します。
- 上限バンド：相場の上振れが過熱している可能性を示すレジスタンスライン
- 下限バンド：相場の下振れが過冷却している可能性を示すサポートライン
- バンド幅の拡大：ボラティリティ上昇局面を示唆
- バンド幅の収縮：レンジ相場や転換前の低ボラティリティを示唆
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EMA5（Exponential Moving Average 5）
EMA5は直近5本の価格により重み付けされた指数移動平均です。
- 非常に短期的な価格の変化を捉え、エントリーや還流のタイミングに敏感
- EMA25とのクロスオーバーで、短期モメンタムの変化を判断
EMA25（Exponential Moving Average 25）
EMA25は中期的なトレンドを表す指数移動平均です。
- EMA5との位置関係でトレンドの強さや方向性を評価
- 価格がEMA25を上回れば短期的な買い優勢、下回れば売り優勢
EMA200（Exponential Moving Average 200）
EMA200は長期トレンドの大局を示す指数移動平均です。
- プロのトレーダーにも重要視されるサポート／レジスタンスライン
- 価格がEMA200を上回ると長期的に強気、市場全体のセンチメント確認に利用
Chart Analysis Tool for BTC and S&P500
- Bollinger Bands (orange upper/lower lines, light blue middle line)
- EMA5 (blue line), EMA25 (yellow line), EMA200 (red line)
Green & Red Bar AlertsThis indicator identifies when a bar (candle) closes green or red and provides visual markers plus alert notifications.
CPR by VictorVCentral Pivot Range
Where price is vs CPR
Above TC: bullish bias; TC/BC act as support. Hold above TC → trend day likely.
Inside CPR (BC–TC): balanced/choppy; expect mean reversion between edges until a clean break.
Below BC: bearish bias; BC/TC act as resistance.
Width of the CPR
Narrow: energy coiled → higher chance of breakout/trend day.
Wide: balanced market → range-bound behavior more likely.
Shift vs yesterday
CPR shifted up: bullish undertone.
Shifted down: bearish undertone.
Overlapping: neutral/indecisive.
Intraday tells
Acceptance: Several candles holding outside BC/TC = expansion in that direction.
Rejection: Wicks through BC/TC that close back inside = likely fade back toward the opposite edge.
Pivot (P) magnet: On non-trend days, price often gravitates back to P.
