Crypto RSI AdvancedThe Crypto RSI Advanced Indicator: A Multi-Dimensional Market Assessment Tool
This document outlines the unique features, functionality, implementation, and theoretical foundation of the "Crypto RSI Advanced" indicator. It is designed to be far more than a simple oscillator; it is a comprehensive analytical suite that enhances the classic Relative Strength Index (RSI) by incorporating trend-filtered signals, visual context, and real-time market state diagnostics.
Core Originality & Unique Value Proposition
The primary innovation of this script lies in its multi-layered, context-aware approach to momentum analysis. While traditional RSI indicators often generate signals based solely on crossing static levels (like 30/70), leading to false signals in strong trends, this script synthesizes four critical dimensions of information:
Momentum Value: The raw RSI reading.
Momentum Trend: The direction of the RSI itself, determined by its short-term trajectory.
Zone Persistence: Whether the RSI is coming from an overbought/oversold condition, adding conviction to breakouts.
Integrated Signal Confirmation: The use of a smoothed signal line (EMA of RSI) for additional validation.
This synthesis transforms the RSI from a standalone oscillator into a cohesive trading system framework that helps distinguish between potential reversal points and mere pauses within a strong trend.
What It Does & How It Achieves It
The indicator performs several interconnected functions, presented in a single pane below the price chart:
Enhanced RSI & Signal Line Plotting:
It calculates the standard RSI based on a user-defined source and length.
It plots a smoothed Signal Line (an EMA applied to the RSI values), which acts as a dynamic filter. Crosses between the RSI and this signal line can provide earlier or more refined entry clues than static level crosses alone.
Dynamic Visual Context and Alerts:
Colored Background Bands: The plot area is dynamically shaded to visually telegraph the market state at a glance: blue for oversold, orange for overbought, and white for the neutral zone.
Conditional RSI Line Coloring: The RSI line itself changes color based on its zone and position relative to the 50 mid-line, providing instant visual feedback on momentum strength and bias.
Multi-Tiered Signal Detection: The script identifies four distinct signal types:
Buy/Sell Signal: Triggered when the RSI crosses back inside the oversold/overbought band from an extreme. This aims to catch early reversals as momentum exits an extreme state.
Strong Buy/Strong Sell Signal: A higher-conviction signal triggered when the RSI crosses the oversold/overbought level from within the extreme zone. This suggests a more powerful shift in momentum as the market exits a deeply overextended condition.
Integrated Market Intelligence Panel:
A key original feature is the fixed information table in the top-right corner. This panel synthesizes all calculations into a concise, actionable snapshot for the latest bar, including:
Current precise RSI value.
Market State (e.g., Overbought, Bullish Bias, Neutral).
RSI Trend (Rising, Falling, Consolidating), assessing the oscillator's own momentum.
Active Signal Status (e.g., "Strong Buy", "No Signal").
Zone Intensity (e.g., "Extreme Overbought", "Normal").
Clear Level Annotation:
On the final bar, it draws labeled markers at the key levels (Oversold, Mid, Overbought) for a clean and permanent reference on the chart.
How to Use It
Application: This tool is designed for momentum confirmation, divergence spotting, and identifying potential reversal zones within a broader trend context. It is particularly useful for swing traders and position traders looking for higher-probability entry points, rather than for pure, high-frequency scalping.
Usage Guidelines:
Parameter Setup: Adjust the core RSI Length and Signal Length to match the volatility of your asset and trading timeframe. The default (14, 9) offers a balanced approach.
Signal Hierarchy: Prioritize "Strong" signals over regular signals, as they carry the added context of a zone breakout. A "Strong Buy" signal appearing in an overall uptrend on the higher timeframe presents a high-conviction scenario.
Synthesize Information: Do not trade on signals alone. Use the Information Panel for context. For example, a "Buy Signal" occurring while the panel shows "Market State: Oversold" and "RSI Trend: Rising" offers a congruent, multi-factor setup.
Visual Context: Use the colored bands and line colors for quick assessment. A blue (bullish) RSI line forming in the blue (oversold) shaded area provides immediate visual congruence for a potential long setup.
Confirmation: As with any oscillator, use this tool in conjunction with price action analysis (support/resistance, chart patterns) and other non-correlated indicators (e.g., a trend-following indicator like a moving average) to filter trades and avoid whipsaws in ranging markets.
Underlying Computational Philosophy
The script's logic is built upon the principle of "Contextual Momentum Analysis." The core premise is that the absolute value of the RSI is less important than its behavior relative to its recent state and trajectory.
Trend-Filtered Momentum: By analyzing the RSI's own trend (rsi_trend_up/down), the script introduces a crucial filter. A sell signal occurring while the RSI's internal trend is still rising may be less reliable, warning of a potential false signal.
Zone-Based Conviction: The distinction between a regular and a "Strong" signal is philosophically significant. It applies the concept of "impulse from an extreme." A reversal signal that originates from deep inside an extreme zone is considered to have more kinetic energy (conviction) than one that forms near the boundary.
Synthesis Over Isolation: The script deliberately avoids providing a single "answer." Instead, it presents multiple, simultaneous data points (value, trend, zone, signal line interaction, historical state) and presents them together in the information panel. This empowers the trader to make a reasoned decision based on a confluence of factors, mimicking the analytical process of a seasoned chartist.
In essence, this indicator automates and visualizes a sophisticated, multi-step analytical process that a trader would otherwise have to perform manually, thereby enhancing speed, consistency, and depth of market analysis.
Penunjuk dan strategi
Crypto MACD SignalsUnlocking Enhanced Market Insights: A Next-Generation MACD Indicator for Cryptocurrency Trading
Introduction: Beyond Traditional MACD
In the vast landscape of technical analysis tools, the Moving Average Convergence Divergence (MACD) stands as one of the most ubiquitous and trusted momentum indicators. However, its classic formulation often leaves traders sifting through frequent crossovers, struggling to distinguish high-probability signals from market noise, especially in the volatile cryptocurrency markets. This script represents a significant evolution of the classic MACD, transforming it from a standalone oscillator into a comprehensive, multi-layered signal detection system. Its core originality lies not in reinventing the MACD calculation, but in augmenting it with proprietary filtering mechanisms, quantitative signal scoring, and visual prioritization to enhance decision clarity and timing.
Core Functionality: What It Does and How It Achieves It
This indicator, titled "Crypto MACD Signals," is a dedicated, non-overlay oscillator built for clarity and actionability. It performs three primary functions simultaneously:
Enhanced MACD Visualization: It plots the traditional MACD line, Signal line, and Histogram with a refined color scheme. The histogram is dynamically colored (blue for bullish, orange for bearish) but introduces a key innovation: the identification of "Huge" or "Anomalous" Bars. A bar is highlighted in bright white when its size exceeds twice the 20-bar Simple Moving Average of the absolute histogram values. This instantly draws attention to moments of exceptional momentum surge or capitulation, which often precede significant trend accelerations or reversals.
Context-Aware Signal Generation: Instead of marking every MACD line crossover, the script applies a crucial logical filter. It only plots a "BUY" signal (green upward triangle) when a bullish crossover occurs while the histogram is below the zero line. Conversely, a "SELL" signal (red downward triangle) is plotted only when a bearish crossover occurs while the histogram is above the zero line. This filter ensures signals are generated in the context of a potential trend reversal from an oversold or overbought state, rather than during the middle of a strong trend, dramatically increasing the signal's statistical edge. This aligns with a classic "Oscillator Reversal from Extremes" methodology within trend-following systems.
Real-Time Performance Dashboard: A fixed table in the top-right corner serves as a live statistical dashboard. It tracks and displays the total count of:
Generated Buy Signals
Generated Sell Signals
Total "Huge" Histogram Bars (both bullish and bearish)
This provides traders with an at-a-glance understanding of recent market activity—whether it has been signal-rich or quiet, and the frequency of high-momentum events—aiding in assessing the current market regime (e.g., trending vs. consolidating).
Implementation and Practical Usage
The indicator is designed for tactical swing trading and momentum-based intraday positioning in crypto assets. Its primary use case is for identifying "Pullback Entries within a Trend" and "Early Trend Reversal Confirmations."
For Trend-Following: A trader in an established uptrend would wait for a pullback that drives the MACD histogram negative. A subsequent bullish crossover that triggers a "BUY" signal, especially if accompanied by a "Huge" bullish histogram bar, offers a high-confidence entry point to re-join the trend.
For Counter-Trend/Reversal Scenarios (Scalping): The script is highly effective for a specific scalping technique: "Fading Extreme Momentum Exhaustion." A cluster of "Huge" bearish bars followed by a diminishing histogram and a bullish crossover signal can indicate selling exhaustion, presenting a short-term long scalp opportunity. The inverse applies for short scalps. The labels ("🔥") and arrows provide clear visual cues for these setups directly on the chart.
Workflow: Traders are advised to first observe the statistical table to gauge recent activity. Then, they should look for convergence between a filtered arrow signal (BUY/SELL) and the appearance of a "Huge" bar or a cluster of them. This multi-factor confirmation is the cornerstone of the strategy.
Underlying Philosophy and Calculation Logic
The script's intelligence is built on a layered philosophy of "Momentum Quantification and Contextual Validation."
Dynamic Thresholding for Anomalies: The "Huge Bar" detection does not use a fixed threshold. By comparing the current histogram value to a recent average of absolute momentum (ta.sma(math.abs(hist_line), 20)), it creates an adaptive, market-responsive benchmark. A bar that is 200% larger than recent average momentum is statistically anomalous, suggesting institutional-sized order flow or a major shift in sentiment. This is a direct application of statistical volatility band principles to momentum, not price.
Signal Filtering for Phase Alignment: The conditional logic for plotting arrows (bullish_cross and hist_line < 0) ensures the MACD crossover signal is aligned with the correct momentum phase of the market cycle. A buy signal is only valid if momentum (histogram) is coming from a "recharging" or bearish area (below zero), not when it's already extended above zero. This prevents buying at a peak and selling at a trough, which is a common pitfall of the raw indicator. This embodies the trading axiom: "Trade the turn, not the continuation."
Quantitative Self-Awareness: The integrated counter and dashboard represent a meta-analysis layer. It allows the tool to provide feedback on its own performance density. A market generating many signals might be choppy and range-bound, while a market with few signals but several "Huge Bars" might be in a strong, steady trend. This helps the trader select the appropriate strategy (trend riding vs. reversal scalping) for the current environment.
In essence, this script synthesizes several respected trading concepts: the core trend/momentum logic of MACD, the anomaly detection common to volatility-based indicators like Keltner Channels, and the signal-verification philosophy of multi-indicator systems—all packaged into a single, coherent, and visually intuitive tool specifically tuned for the unique amplitude and speed of cryptocurrency markets.
My script// @version=6
indicator("ORB-FVG-Sweep Alert", overlay=true)
start = input.session("2300-2330", title="ORB session UTC")
level = input.float(2.0, "Min FVG size ($)")
// ---- ORB box ----
t = time(timeframe.period, start)
inRange = not na(t)
h = ta.valuewhen(inRange, high, 0)
l = ta.valuewhen(inRange, low, 0)
plot(inRange ? h : na, color=color.gray, style=plot.style_linebr)
plot(inRange ? l : na, color=color.gray, style=plot.style_linebr)
// ---- FVG detection (simplified) ----
fvg = (high < low and close < open ) or (low > high and close > open )
plotshape(fvg and math.abs(high -low ) >= level, style=shape.triangleup, location=location.belowbar, color=color.green, size=size.tiny, title="Bull FVG")
plotshape(fvg and math.abs(low -high ) >= level, style=shape.triangledown,location=location.abovebar, color=color.red, size=size.tiny, title="Bear FVG")
// ---- Sweep of ORB high/low ----
sweepHigh = high > h and close < h and high <= h
sweepLow = low < l and close > l and low >= l
plotshape(sweepHigh, style=shape.arrowdown, location=location.abovebar, color=color.maroon, size=size.small, title="Sweep High")
plotshape(sweepLow, style=shape.arrowup, location=location.belowbar, color=color.green, size=size.small, title="Sweep Low")
// ---- Combined alert condition ----
alertcondition(sweepHigh and fvg, title="Short setup", message="ORB sweep+FVG short")
alertcondition(sweepLow and fvg, title="Long setup", message="ORB sweep+FVG long")
M15 Wednesday Daily Open + Vertical LineWednesday Daily Open M15 – Vertical Line
Marks the daily open candle on Wednesdays using M15 logic and draws a vertical line on it.
Includes a timezone selector to avoid day-shift issues.
Designed for M15 charts and works on all symbols.
FADE GIGA CANDLE STRAT# 🔥 FADE GIGA CANDLE STRATEGY
## Overview
The **Fade Giga Candle Strategy** is a contrarian trading indicator designed to identify extreme price movements (called "Giga Candles") and predict mean reversion opportunities. This strategy is specifically optimized for Polymarket's 15-minute crypto prediction markets (BTC, ETH, SOL, XRP) but can be applied to any timeframe.
**Core Concept:** When price makes an unusually large move with extreme RSI and high volume, it often reverses in the next period. This indicator detects those moments and signals to "fade" (bet against) the move.
---
## 📊 What Does It Do?
### Signal Generation
- **FADE BEARISH (📉)**: Detects massive green candles → Predicts price will go DOWN next
- **FADE BULLISH (📈)**: Detects massive red candles → Predicts price will go UP next
### Real-Time Stats
- Win Rate tracking
- Total Return calculation
- Expected Value (EV) analysis
- Breakeven threshold display (57.14% for 75% win / 100% loss structure)
### Visual Alerts
- Chart labels showing predictions
- Background highlighting on signal candles
- Stats table in top-right corner
- RSI indicator with overbought/oversold zones
---
## ⚙️ How It Works
### 1. Giga Candle Detection
The indicator analyzes the last 500 candles and identifies "Giga Candles" based on:
- **Body Size Percentile** (default 93rd): Only the top 7% largest candles qualify
- **Minimum Body %** (default 0.5%): Filters out noise on small moves
### 2. Confirmation Filters
Before generating a signal, the indicator checks:
**RSI Filter (Optional)**
- RSI must be ≥70 (overbought) OR ≤30 (oversold)
- Indicates price is at an extreme level
**Volume Filter (Optional)**
- Current volume must be ≥1.5x the 20-period average
- Confirms the move has conviction
### 3. Fade Logic
```
IF Giga Green Candle + RSI Extreme + High Volume
→ FADE BEARISH (predict DOWN)
IF Giga Red Candle + RSI Extreme + High Volume
→ FADE BULLISH (predict UP)
```
---
## 🎛️ Settings & Parameters
### Giga Candle Detection
| Parameter | Default | Range | Description |
|-----------|---------|-------|-------------|
| **Giga Candle Percentile** | 93.0 | 80-99 | Top X% of candles by body size. 93 = only top 7% qualify as "giga" |
| **Min Body % (Safety)** | 0.5 | 0.1-2.0 | Minimum body size as % of price. Prevents false signals on low volatility |
### RSI Filter
| Parameter | Default | Range | Description |
|-----------|---------|-------|-------------|
| **Use RSI Filter** | ON | ON/OFF | Require RSI to be extreme before signaling |
| **RSI Length** | 14 | 5-50 | Period for RSI calculation |
| **RSI Overbought** | 70 | 60-85 | Threshold for overbought condition |
| **RSI Oversold** | 30 | 15-40 | Threshold for oversold condition |
### Volume Filter
| Parameter | Default | Range | Description |
|-----------|---------|-------|-------------|
| **Use Volume Filter** | ON | ON/OFF | Require high volume before signaling |
| **Volume SMA Length** | 20 | 10-50 | Period for average volume calculation |
| **Volume Multiplier** | 1.5 | 1.0-3.0 | Current volume must be X times the average |
### Display Options
- **Show Signal Labels**: Display prediction labels on chart
- **Highlight Signal Candles**: Background color on signal bars
- **Show Stats Table**: Performance statistics in top-right
- **Enable Alerts**: Push notifications when signals occur
---
## 🚀 How to Use
### For Polymarket Trading (Recommended)
1. **Set timeframe to 15 minutes** (matches Polymarket market duration)
2. **Apply to BTC, ETH, SOL, or XRP charts**
3. **Wait for signal:**
- 📉 FADE BEARISH → Buy "DOWN" on Polymarket
- 📈 FADE BULLISH → Buy "UP" on Polymarket
4. **Hold until market resolves** (15 minutes)
5. **Track your performance** using the stats table
### For Regular Trading
1. Use on any liquid crypto market
2. When signal appears, consider entering a mean-reversion trade
3. Set stop-loss at 100% of entry (built into expected value calculation)
4. Take profit at 75% gain (matches the 57.14% breakeven math)
### Understanding the Stats Table
**Win Rate**: Your prediction accuracy percentage
- **Target: >57.14%** (breakeven for 75% win / 100% loss structure)
- Green if profitable, red if unprofitable
**Expected Value (EV)**: Average % return per trade
- **Positive EV** = Strategy is profitable long-term
- **Negative EV** = Strategy is losing long-term
- Formula: `(WinRate% × 75) - (LossRate% × 100)`
**Total Return**: Cumulative % gain/loss across all signals
---
## 📈 Interpretation Guide
### Strong Signals
✅ Large giga candle (top 3-5%)
✅ RSI >75 or <25 (very extreme)
✅ Volume >2x average
✅ Signal appears after sustained trend
✅ Win rate >60% in recent trades
### Weak Signals (Consider Skipping)
⚠️ Borderline giga candle (barely above threshold)
⚠️ RSI only slightly extreme (71 or 29)
⚠️ Volume just meets minimum (1.5x)
⚠️ Signal appears during choppy/sideways market
⚠️ Win rate <50% in recent trades
---
## 💡 Pro Tips
### 1. Timeframe Matters
- **15-min**: Best for Polymarket, captures intraday exhaustion
- **1-hour**: Better for swing trading
- **5-min**: Too noisy, not recommended
### 2. Market Context
- Works best in **trending markets** that overextend
- Less effective in **tight ranges** (consolidation)
- Avoid during **low liquidity** hours (weekends, holidays)
### 3. Filter Tuning
**More Aggressive (More Signals)**
- Lower Giga Percentile (90th)
- Disable RSI filter
- Lower volume multiplier (1.2x)
**More Conservative (Fewer, Higher Quality)**
- Raise Giga Percentile (95th)
- Tighter RSI thresholds (75/25)
- Higher volume multiplier (2.0x)
### 4. Bankroll Management
- **Never bet >5% of capital** on a single signal
- Maintain 20+ bet bankroll minimum
- Use Kelly Criterion: `Bet% = (WinRate - LossRate) / 2`
- Example: 60% win rate → Bet ~10% of bankroll
### 5. Track Your Performance
- Monitor the stats table actively
- If win rate drops below 55% for 20+ trades, **stop trading**
- If EV goes negative, **reassess filters or market conditions**
- Keep a trading journal outside the indicator
---
## ⚠️ Risk Disclosure
### Important Warnings
1. **Past performance ≠ future results**: Backtested win rates may not hold in live trading
2. **Market conditions change**: Strategy may stop working if market dynamics shift
3. **Gambler's ruin risk**: Even profitable strategies can lose multiple trades in a row
4. **Polymarket specific**:
- Carries smart contract risk
- Subject to liquidity constraints
- Markets can resolve unexpectedly
5. **Not financial advice**: This is an educational tool, not a recommendation to trade
### Best Practices
- Start with **small position sizes** to test
- Track at least **50 signals** before evaluating performance
- Consider **paper trading** first (simulated trades)
- Never trade with money you can't afford to lose
- Understand the **57.14% breakeven** requirement
---
## 🔧 Troubleshooting
### "No signals appearing"
- Check if filters are too strict (try disabling RSI/Volume filters temporarily)
- Reduce Giga Percentile to 90th
- Ensure sufficient chart history loaded (>500 candles)
### "Too many signals"
- Increase Giga Percentile to 95th
- Enable both RSI and Volume filters
- Raise volume multiplier to 2.0x
### "Win rate seems low"
- Check if you're trading during low liquidity periods
- Verify you're using 15-min timeframe for Polymarket
- Consider market is in tight consolidation (strategy works best in trends)
---
## 📚 Technical Details
### Calculations
- **Body Size**: `|close - open|`
- **Body %**: `(bodySize / open) × 100`
- **Giga Threshold**: `percentile_nearest_rank(last 500 candles, 93rd)`
- **RSI**: Standard 14-period RSI
- **Volume Ratio**: `current_volume / SMA(volume, 20)`
### Performance Tracking
- Checks if previous signal was correct after 1 bar
- Win = +75% to total return
- Loss = -100% to total return
- Win Rate = `(correct_predictions / total_signals) × 100`
---
## 🎯 Ideal Use Cases
### ✅ Perfect For:
- Polymarket 15-minute crypto prediction markets
- Mean-reversion trading on liquid crypto pairs
- Contrarian traders who fade extremes
- Systematic traders who follow rules-based signals
### ❌ Not Ideal For:
- Trend-following strategies (this is contrarian)
- Low volatility assets (needs large moves)
- Illiquid markets (won't have "giga" candles)
- Sub-5-minute scalping (too much noise)
---
## 📞 Support & Updates
**Version**: 6.0
**Last Updated**: January 2025
**Compatible With**: TradingView Pine Script v6
### Feedback Welcome
If you find this indicator useful or have suggestions for improvement, please:
- ⭐ Leave a rating
- 💬 Comment with your results
- 🚀 Share your settings for different markets
**Good luck, and trade responsibly!** 🎯
---
## Quick Start Checklist
- Set timeframe to 15 minutes
- Load BTC, ETH, SOL, or XRP chart
- Verify stats table shows in top-right
- Enable alerts for signal notifications
- Start with paper trading to validate
- Track at least 20 signals before going live
- Never bet more than 5% of bankroll per trade
- Monitor win rate and stop if <55%
**Remember: The goal is >57.14% win rate for profitability!**
Ghost (Hide System)Ghost System - Gold Specialized Edition
High-Volatility Trend Following System for XAUUSD
🇬🇧 English Description
1. Overview
Ghost System is a high-performance trading indicator engineered specifically for Gold (XAUUSD). Gold is known for its explosive volatility and long-running trends, but also for its "choppy" consolidation periods that destroy accounts. Ghost System is designed to filter out these dangerous ranging markets and pinpoint the exact moment a massive trend begins, utilizing a fusion of Smart Money Concepts (SMC) and advanced volatility analysis.
2. Key Features
🛡️ Gold-Tuned Range Filter (Slope Logic)
Gold often creates "traps" in flat markets. The system calculates the angle (slope) of the Moving Average. If the slope is below a specific threshold (optimized for Gold at 0.3), it effectively blocks all signals, preventing losses during consolidation.
🧠 SMC & Order Block Integration
It automatically identifies institutional trading zones (Order Blocks) and "Change of Character" (CHOCH) patterns. Entries are not random; they align with where smart money enters the market.
🚀 "Ghost" Trailing Exit
Fixed take-profits limit your potential in Gold. This system uses a Dynamic 20-EMA Trailing Stop.
Benefit: As long as the price respects the 20-EMA, the trade stays open. This allows you to capture 100+ pips in a single strong move while automatically closing the position the moment the trend breaks.
💎 Visual Trade Management
Trade Lines: Solid lines connect your entry to your exit point (Blue = Win, Red = Loss), visualizing the trade history directly on the chart.
Result Labels: Displays the exact Pips gained or lost at the closing point (e.g., +50.5 pips), making it easy to review performance.
📊 Real-Time Performance Dashboard
A professional dashboard displays Win Rate, Profit Factor (PF), Total Pips, and Floating Pips (unrealized profit from open positions). It accounts for pyramiding (additional entries), giving you a complete view of your account health.
🇯🇵 日本語解説
1. 概要
Ghost System (ゴースト・システム) は、ゴールド（XAUUSD） 特有の「激しい値動き」を利益に変えるために開発された、完全特化型のトレンドフォロー・インジケーターです。 ゴールド相場で多くのトレーダーが退場する原因となる「レンジ相場（往復ビンタ）」を徹底的に排除し、機関投資家の資金が入る「初動」と「トレンドの伸び」だけを狙い撃ちするよう設計されています。
2. 主な特徴
🛡️ ゴールド専用レンジ・フィルター (傾き判定)
ゴールドのチャートは、動かない時は全く動きません。このシステムは移動平均線の「傾き（Slope）」を常に監視し、傾きが規定値（ゴールドに最適化された0.3）以下の時は、一切のエントリーサインを出しません。 これにより、無駄な損失を劇的に減らします。
🧠 SMC（スマートマネーコンセプト）搭載
機関投資家が意識する**オーダーブロック（OB）**やトレンド転換点（CHOCH）を自動で分析。単なるインジケーターの数値だけでなく、「大口投資家の痕跡」を根拠にサインを点灯させます。
🚀 利益を無限に伸ばす「ゴースト・トレーリング」
チキン利食い（早すぎる利確）を防ぐため、固定利確ではなく**「20EMA追従型」**の決済ロジックを採用しています。
メリット: トレンドが続いている限り、どれだけ価格が伸びてもポジションをホールドし続けます。これにより、ゴールド特有の数百pips級のビッグウェーブを根こそぎ獲得します。逆に、トレンドが崩れた（20EMAを割った）瞬間に即座に撤退し、利益を守ります。
💎 トレードの「見える化」機能
トレードライン: エントリーから決済までを実線（勝ち＝青、負け＝赤）で結びます。「どこで入り、どこで逃げたか」がチャート上で一目瞭然になります。
結果ラベル: 決済地点に +85.4 pips のように獲得pips数を表示するため、検証作業が非常にスムーズになります。
📊 リアルタイム成績ダッシュボード
チャート右上に**「勝率」「プロフィットファクター(PF)」「獲得Pips総数」**を表示。
さらに、ポジション保有中は**「現在の含み益Pips」**もリアルタイムで変動表示されるため、今どれくらい儲かっているかが瞬時に分かります。
推奨設定 (Recommended Settings)
通貨ペア: XAUUSD (Gold) 専用
時間足: 15分足 (M15) または 1時間足 (H1)
損切り: 固定 20.0 pips（ボラティリティが高い場合は調整可）
Optimal Day Trading System🚥 How to Trade with ODTS
The indicator provides visual cues on the chart (triangles) and a real-time Status Table to help you make decisions.
Signal Definitions
Buy Signal (Green Triangle): Price is above the Sunya line and the Primary Cycle is trending up.
Strong Buy (Lime Triangle): All criteria are met, plus the Secondary Cycle has also turned bullish. This indicates "confluence".
Sell Signal (Red Triangle): Price is below the Sunya line and the Primary Cycle is trending down.
Strong Sell (Maroon Triangle): Both Primary and Secondary cycles are aligned with a price break below the Sunya line.
Real-Time Status Table
Located at the top right, this table gives you an instant "health check" of the current asset:
Price > Sunya: Confirms if the current price is above or below the FLD.
Cycle Dir: Shows the slope of the primary trend.
Position: Tells you if price is "Inside" the envelope (ranging) or "Above/Below" (overextended).
📈 Best Practices
Confluence is Key: The strongest trades occur when the Signal column in the table shows "STRONG BUY" or "STRONG SELL," meaning multiple cycles are in agreement.
Envelope Extremes: If the Status Table shows the Position as "ABOVE" or "BELOW" the envelope, be cautious about entering new trades, as the price may be overextended and due for a reversion to the Basis (mean).
Timeframe Synergy: Use the 15-minute timeframe for swing trade entries and the 1-minute or 5-minute for precise day trading executions.
ARX Session Time Alerts (UK)This script provides time-based alerts for major market sessions and predefined time windows using UK time (Europe/London).
Alerts are purely time reminders and do not generate trade signals, predictions, or execution guidance.
Designed to support market awareness, preparation, and education.
Educational use only. Not financial advice.
Moon Declination & More [BlueprintResearch]🌒 MOON DECLINATION & MORE
A comprehensive lunar declination visualization showing Moon, Sun, and node declinations, with phase coloring, zodiac sign tracking, and future projections.
Part of the Blueprint Research open-source ephemeris project.
█ WHAT'S INCLUDED
• Moon Declination — The Moon's angular distance from the celestial equator, oscillating rapidly (~27 days)
• Sun Declination — Optional overlay showing the Sun's seasonal declination (±23.4°)
• Node Declinations — North (☊) and South (☋) node lines forming the Moon's orbital envelope
• Future Projections — Project all lines up to 500 bars into the future
• Zodiac Crossing Markers — Indicates when the North Node reaches a particular zodiac degree. Keep in mind, nodes move through the zodiac in reverse.
█ CONCEPTS
Declination measures how far north or south a celestial body appears from the celestial equator. The Moon's declination oscillates rapidly, while its maximum range shifts slowly over the 18.6-year nodal cycle.
Node Declination Envelope:
The North (☊) and South (☋) node lines mark the envelope of the Moon's orbit—the theoretical maximum northern and southern declinations the Moon can reach.
Lunar Standstills:
The 18.6-year nodal cycle determines when the Moon reaches its most extreme declinations. During a major standstill, the Moon can exceed ±28° declination. During a minor standstill, the Moon's range is limited to approximately ±18°.
Out-of-Bounds (OOB):
When the Moon moves beyond ±23.44° declination, it exceeds the Sun's maximum reach and is considered "Out of Bounds."
█ COLORING OPTIONS
Phase Coloring (Moon)
Color the Moon's declination line by lunar phase:
• New Moon (0-90°): Slate silver
• First Quarter (90-180°): Mint
• Full Moon (180-270°): Bright gold
• Last Quarter (270-360°): Soft violet
Zodiac Sign Coloring (Nodes)
Color the node lines by their zodiac sign. When enabled, a color legend appears at the top, showing all 12 signs for reference.
█ ZODIAC FEATURES
Zodiac Sign Coloring
Color the North and South Node lines according to their zodiac sign positions.
Zodiac Crossing
Marks when the North Node crosses a specific zodiac degree. Select any sign and degree (0-29) to track. The North Node moves retrograde through the zodiac over an 18.6-year cycle.
█ RESEARCH FEATURES
Standstill Thresholds
Horizontal reference lines at key declination levels:
• ±28.6° Major Standstill (peak of the 18.6-year cycle)
• ±18.3° Minor Standstill (trough of the cycle)
• ±23.4° Out-of-Bounds threshold
OOB Highlighting
Optional background shading when the Moon exceeds the OOB threshold.
Node Equatorial Crossings
Crosshair markers indicate when the node's declination crosses 0° (equatorial passage).
Reference Line Labels
Labels at projection endpoints with an adjustable offset for readability.
█ FEATURES
• Moon declination with optional lunar phase coloring
• Sun declination overlay
• North and South node declinations (☊ and ☋)
• Future projections up to 500 bars
• Zodiac sign coloring with a color legend
• Zodiac degree-crossing markers
• Node equatorial-crossing markers
• Out-of-Bounds background highlighting
• Reference line labels with offset control
• Customizable line widths and colors
• Informative tooltips for all settings
• Works on all timeframes
█ HOW TO USE
1 — Add the indicator to your chart
2 — Configure which elements to display (Moon, Sun, Nodes)
3 — Enable future projections to view upcoming declination values
4 — Enable Zodiac coloring to track node sign positions
5 — Set a Zodiac Crossing degree to mark when the North Node crosses that point
6 — Enable Standstill Thresholds to show reference lines
7 — Toggle phase coloring to visualize the lunar cycle
█ THEORY
Lunar Theory: ELP2000-82 by Chapront-Touzé & Chapront
Solar Theory: VSOP87 for Sun position and phase calculation
Reference: Meeus, "Astronomical Algorithms" (2nd Ed., 1998)
█ LIMITATIONS
• Truncated ELP2000-82 theory (~10 arcseconds precision)
• Future projections assume consistent bar timing
• Phase coloring uses 4 phases (not the 8 traditional phases)
• Mean nodes only (no perturbation corrections)
█ OPEN SOURCE
Blueprint Research Ephemeris Libraries:
• lib_elp2000_moon — Lunar position and mean node calculations
• lib_vsop_core — Solar position and coordinate utilities
• lib_ephemeris — Unified planetary API
Third-Party Libraries:
• hsvColor by @kaigouthro — HSV color utilities (MPL 2.0)
© 2025-2026 BlueprintResearch (Javonnii) • CC BY-NC-SA 4.0
[PAPI] TF-OBV-ATR-Weighted MACDThis is a MACD indicator with a few differences:
Multi-Timeframe: The indicator calculates the "MACD", the "Signal" and the "Histogram" for four user-defined timeframes.
Volume weighted: The three MACD variables calculated for each timeframe above are weight-averaged according to On Balance Volume (OBV).
Volatility weighted: The three MACD variables calculated for each time frame above are also weight-averaged according to Average True Range (ATR)
The MACD, Signal and Histogram are plotted.
I use the indicator twice. Once with the user defined Timeframes set to high TFs (Month/Week/Day/4h) - this is for directional bias. And once with lower TFs (1m/3m/15m/1h).
[PAPI] TF-OBV-ATR-Weighted MACDThis is a MACD indicator with a few differences:
Multi-Timeframe: The indicator calculates the "MACD", the "Signal" and the "Histogram" for four user-defined timeframes.
Volume weighted: The three MACD variables calculated for each timeframe above are weight-averaged according to On Balance Volume (OBV).
Volatility weighted: The three MACD variables calculated for each time frame above are also weight-averaged according to Average True Range (ATR)
The MACD, Signal and Histogram are plotted.
I use the indicator twice. Once with the user defined Timeframes set to high TFs (Month/Week/Day/4h) - this is for directional bias. And once with lower TFs (1m/3m/15m/1h).
ARX ChecklistThis script displays a simple, manual checklist panel designed to support trading preparation and educational analysis.
The checklist is fully user-controlled and does not generate signals, entries, exits, or predictions.
It is intended to help users stay organized, disciplined, and focused on process over outcome.
Educational use only. Not financial advice.
Right-Side Master Pro: Adaptive Trend SystemHere is a professional English introduction for your strategy, tailored for a TradingView description, portfolio presentation, or documentation.
I have provided two versions: a Concise Summary (for quick reading) and a Detailed Technical Breakdown (for in-depth explanation).
Option 1: Concise Summary (Best for TradingView Description)
Strategy Name: Right-Side Master Pro: A Systematic Trend-Following System
Description: Built on the timeless principles of trading legends like Jesse Livermore, William O'Neil, and Mark Minervini, the Right-Side Master Pro is a pure trend-following system designed to prioritize confirmation over prediction.
This strategy does not guess bottoms; it waits for specific momentum breakouts (Donchian Channels) aligned with institutional moving averages. Its core edge lies in its "Market Regime Filter," which restricts long positions on altcoins unless Bitcoin is in a confirmed uptrend (above the 200 EMA), effectively shielding capital during bear markets.
Key Features:
The "M" Filter: Automatically filters out bad market environments by tracking BTC trend health.
Hybrid Exit Strategy: Secures wins by closing 50% of the position at a 2R (Reward/Risk) target, while letting the remainder ride the "fat tail" trends with a dynamic trailing stop.
Capital Efficiency: Implements a "Time Stop" to cut stagnant trades that fail to launch within 5 bars, keeping capital active.
Volatility Sizing: Dynamically adjusts position size based on ATR, ensuring consistent risk exposure regardless of market volatility.
Option 2: Detailed Technical Breakdown (Best for Documentation)
Title: The Right-Side Master Pro Edition
Overview The Right-Side Master Pro is a sophisticated algorithmic trading strategy engineered for the cryptocurrency markets. It automates the "Right-Side Trading" philosophy, focusing on entering established trends during high-momentum breakouts while maintaining strict defensive protocols.
Core Logic & Mechanisms
1. Trend & Environment Filtering (The "M" Factor) Following O'Neil's CAN SLIM principle on Market Direction, this strategy incorporates a Bitcoin Regime Filter.
Logic: It monitors Bitcoin’s price relative to its 200-period EMA.
Effect: If BTC is bearish, the strategy disables all long signals for altcoins, preventing "catching falling knives" during systemic corrections.
2. Precision Entry (Momentum)
Trigger: Utilizes a Donchian Channel Breakout (20-period high) to identify genuine strength.
Trend Template: Entries are only valid if the short-term EMA (20) is above the long-term EMA (50), confirming a Stage 2 uptrend structure.
3. Advanced Risk Management
Volatility Sizing: Position size is calculated mathematically using Risk % / (2 * ATR), ensuring that high-volatility coins receive smaller allocations and stable coins receive larger ones.
Time Stop: Adhering to the "Time is Money" principle, the strategy forces an exit if the price fails to move away from the cost basis within 5 candles, eliminating dead money.
4. Hybrid Execution (The "Free Roll")
Take Profit 1 (TP1): Automatically liquidates 50% of the position when the price hits a 2:1 Reward-to-Risk ratio. This banks profit and reduces psychological pressure.
Trailing Stop: The remaining 50% is managed with a loose ATR-based trailing stop, designed to capture outlier trends (100%+ moves) without being shaken out by intraday noise.
Recommended Configurations
Daily Timeframe (1D): For conservative, high-win-rate growth using leverage (2x-3x).
4-Hour Timeframe (4H): For aggressive, high-turnover growth using spot or low leverage (1x).
High-Probability Trendline (Breakout & Retest)High-Probability Trendline (Breakout & Retest) trend breakout and retest
Multi-cycle EMA50 + MACD divergence detectionThis tool uses a multi-period EMA50 + MACD divergence detection system. Divergence levels are indicated by dashed lines, while those without are indicated by solid lines. However, this tool cannot detect 1:1 divergence, so it is for reference only. Do not use this as a basis for opening trades; the specific trend must be analyzed based on the specific time frame.
ES 1m EMA Bounce Scalp - High RR v6# MES/ES 1-Minute EMA Bounce Scalp – High RR with Partial & Trailing (100% Win Rate in Backtest Oct 2025–Jan 2026)
**Overview**
This is a high-probability, mean-reversion / trend-continuation scalping system designed for the Micro E-mini S&P 500 (MES) or E-mini S&P 500 (ES) on the **1-minute chart**. It enters on pullback bounces off the 20-period EMA during intraday sessions, using RSI momentum confirmation, volume filter, and ADX trend strength to select high-quality setups.
The core edge comes from:
- Tight initial stop (4 points)
- 50% partial profit at 1:1 RR (locks in quick wins and moves stop to breakeven)
- Remaining 50% trails aggressively (trail offset 2 points) to let winners run to 8–10 points (1:2+ effective RR)
**Key Features**
- Longs & Shorts symmetric (pullback bounce logic)
- Trades only during US RTH (9:30–16:00 ET)
- Filters: RSI >40 (long) / <60 (short), volume > 20-SMA, ADX(14) >20
- No martingale, no pyramiding, one trade at a time
- Bracket + trailing managed automatically in Pine Script
**Backtest Highlights** (Oct 23, 2025 – Jan 21, 2026 on ES1!)
- Total trades: 107
- Win rate: 100% (0 losers)
- Net profit (1 contract): $20,227.50 after commissions
- Commissions: $322.50 (~$3 round-trip)
- Max open (floating) drawdown: –$3,275 (never realized a loss)
- Avg P&L per trade: ~$189 (≈3.78 points net)
- Longs: 45 trades, avg hold ~2.2 hours
- Shorts: 62 trades, avg hold ~8.7 hours
- Largest single win: scaled equivalent to strong runners
**Risk & Position Sizing**
- Initial stop: 4 points (~$200 risk on 1 ES mini / $20 on 1 MES)
- Recommended live size: 1 ES contract (very conservative on $100k account)
- Max floating DD in test: ~65 points open loss (well under typical $3,000 trailing DD rules)
- Designed to respect strict drawdown limits — partials & trailing move most trades to breakeven quickly
**Important Notes & Disclaimer**
- 100% win rate over 107 trades is exceptional and likely period-specific (late-2025 bull/chop environment favored bounces + trailing).
- Forward-test / paper trade required before live capital. Real slippage, news events, and execution delays may reduce performance.
- Not financial advice. Past performance ≠ future results. Use at your own risk.
- Best used with low-commission futures broker (Tradovate, AMP, IBKR, etc.) and 1-contract sizing to start.
**How to Use**
1. Apply to MES1! or ES1! on 1-minute chart
2. Set alerts for entries (built-in strategy alerts work perfectly)
3. Forward-test in sim → monitor floating DD, hold times, and win consistency
4. Manual or webhook auto-execution (e.g., PickMyTrade/TradersPost for Tradovate)
Happy to iterate based on forward-test results. Share your live stats!
Cheers,
Chris Brown (@hockeybrown2011)
tradeEngineLibrary "tradeEngine"
calculateLiquidationPrice(entryPrice, isLong, leverage, buffer)
Parameters:
entryPrice (float)
isLong (bool)
leverage (int)
buffer (float)
calculateTPLevels(entryPrice, atr, isLong, risk)
Parameters:
entryPrice (float)
atr (float)
isLong (bool)
risk (RiskConfig)
calculateSL(entryLow, entryHigh, isLong, risk)
Parameters:
entryLow (float)
entryHigh (float)
isLong (bool)
risk (RiskConfig)
simulateTrade(highs, lows, closes, entryIdx, entryPrice, entryLow, entryHigh, entryATR, isLong, risk, maxBars)
Parameters:
highs (array)
lows (array)
closes (array)
entryIdx (int)
entryPrice (float)
entryLow (float)
entryHigh (float)
entryATR (float)
isLong (bool)
risk (RiskConfig)
maxBars (int)
createRiskConfig(leverage, liqBuffer, useTP1, tp1ATR, useTP2, tp2ATR, useSL, slBuffer, maker, taker, slip)
Parameters:
leverage (int)
liqBuffer (float)
useTP1 (bool)
tp1ATR (float)
useTP2 (bool)
tp2ATR (float)
useSL (bool)
slBuffer (float)
maker (float)
taker (float)
slip (float)
TradeResult
Fields:
exitType (series string)
exitBarIdx (series int)
exitPrice (series float)
finalPnL (series float)
maxPnL (series float)
tp1Hit (series bool)
tp2Hit (series bool)
slHit (series bool)
liquidated (series bool)
barsInTrade (series int)
tp1Level (series float)
tp2Level (series float)
slLevel (series float)
liqLevel (series float)
RiskConfig
Fields:
leverage (series int)
liquidationBuffer (series float)
useTP1 (series bool)
tp1ATR (series float)
useTP2 (series bool)
tp2ATR (series float)
useFixedSL (series bool)
slBuffer (series float)
makerFee (series float)
takerFee (series float)
slippage (series float)
matrixCoreLibrary "matrixCore"
analyzeCandleStructure(o, h, l, c, atr, smallBodyThreshold, longWickRatio)
Parameters:
o (float)
h (float)
l (float)
c (float)
atr (float)
smallBodyThreshold (float)
longWickRatio (float)
isRedRejectionCandle(o, l, c, redRejectionWickMin)
Parameters:
o (float)
l (float)
c (float)
redRejectionWickMin (float)
isEqual(a, b, tol)
Parameters:
a (float)
b (float)
tol (float)
detectPattern(kf, km, ks, tol)
Parameters:
kf (float)
km (float)
ks (float)
tol (float)
calculateStateHash(kp, ep, pp, comp, cType, slope, tfH, tfL, redRej)
Parameters:
kp (int)
ep (int)
pp (int)
comp (int)
cType (int)
slope (int)
tfH (bool)
tfL (bool)
redRej (bool)
createStateConfig(kp, ep, pp, comp, cType, slope, tfH, tfL, redRej, hash)
Parameters:
kp (int)
ep (int)
pp (int)
comp (int)
cType (int)
slope (int)
tfH (bool)
tfL (bool)
redRej (bool)
hash (int)
createBarSnapshot(barIdx, o, h, l, c, atr, ema, stateHash, kp, ep, pp, comp, cType, slope, tfH, tfL, redRej)
Parameters:
barIdx (int)
o (float)
h (float)
l (float)
c (float)
atr (float)
ema (float)
stateHash (int)
kp (int)
ep (int)
pp (int)
comp (int)
cType (int)
slope (int)
tfH (bool)
tfL (bool)
redRej (bool)
stateToString(cfg)
Parameters:
cfg (StateConfig)
getTablePosition(pos)
Parameters:
pos (string)
getGradientColor(value, minVal, maxVal)
Parameters:
value (float)
minVal (float)
maxVal (float)
StateConfig
Fields:
kijunPattern (series int)
emaPattern (series int)
pricePos (series int)
compression (series int)
candleType (series int)
emaSlope (series int)
tfHigherBullish (series bool)
tfLowerBullish (series bool)
redRejection (series bool)
hash (series int)
BarSnapshot
Fields:
barIndex (series int)
openPrice (series float)
highPrice (series float)
lowPrice (series float)
closePrice (series float)
atr (series float)
emaFast (series float)
stateHash (series int)
kijunPattern (series int)
emaPattern (series int)
pricePos (series int)
compression (series int)
candleType (series int)
emaSlope (series int)
tfHigherBullish (series bool)
tfLowerBullish (series bool)
redRejection (series bool)
Fibonacci EMA/SMA SystemFibonacci EMA/SMA System
Overview
A clean, customizable moving average indicator built around Fibonacci-based EMA and SMA stacks. Designed for trend identification across multiple timeframes using mathematically harmonious period lengths. Enable one or more stacks based on your trading timeframe. Use Fast + Core for intraday/swing. Add Macro for higher timeframe context.
Stacks
Fast (8/13/21) — Momentum, short-term trend
Core (21/34/55) — Pullbacks, swing trading
Full Trend (13/21/34/55/89) — Trend strength, compression/expansion
Macro (55/89/144) — Position trading, regime context
Standard (20/50/100/200) — Traditional reference levels
Options
MA Type — EMA or SMA
Price Source — Close, HL2, HLC3, OHLC4, etc.
Uniform Color — Apply single color to all active lines
Individual Colors — Set unique color per line in each stack
Line Style — Solid or Dotted
Line Width — 1–4 pixels
Fill — Shaded area between outer EMAs
Labels — Period numbers displayed at line ends
[uxo] Delta Heatmap - Open Sourcedtheres genuinely no reason that a delta heatmap should be closed source
MA4 Alignment with Forward ProjectionThis indicator is a moving-average alignment and projection overlay built on a simple core idea:
MA4 (a 4-period moving average) represents the current short-term mean of price.
MA4 is the prior value of that same moving average, used as a 1-bar delayed reference.
From those two series, the script provides four layers of information:
Live alignment (MA4 vs MA4 )
A forward projection of a sampled historical MA pattern
Projected cross markers (vertical lines) when the projected MA4 would cross projected MA4
A compact table summarizing current alignment and the most recent live cross event
This is designed to help traders visualize:
whether short-term mean behavior is strengthening or weakening, and
where a future cross could plausibly occur if a selected historical pattern repeats.
This script is informational only and does not place trades.
Chart Setup Note (Important)
Because this tool samples a historical pattern window and projects it forward, it is important to let the chart fully load/merge historical data before interpreting the projection.
If the chart history is not fully loaded, the sampled window may be incomplete, which can shift the projection and projected cross markers.
Once the chart is fully merged, the projection remains stable and consistent during scrolling and replay.
What Makes It Different
This is not a basic “MA crossover” indicator. The core differentiator is:
The script extracts a historical MA4 pattern from a user-defined window,
shifts it forward into the future, and
marks projected future crosses between the projected MA4 and projected MA4 .
It also builds projected deviation envelopes from the sampled window and uses those envelopes for optional stretch/invalidation alerts.
How the Projection Works (Concept)
1) Sample a historical MA “pattern window”
You define a window in the past using:
Pattern Start (bars back)
Pattern End (bars back)
The script collects MA4 values across that window into an internal pattern array.
2) Shift the pattern forward
Shift Pattern Forward (bars) controls how far into the future the sampled pattern is plotted.
3) Delta-anchor projection (optional)
If Delta-anchor projection is enabled, the script projects the shape of the pattern while re-centering it around the current MA4 level.
This keeps the projection visually relevant to current price scale instead of “pasting” old absolute values.
Projected Cross Vertical Lines
When projection is enabled, the script checks for projected cross events:
Bull projected cross: projected MA4 rises through projected MA4
Bear projected cross: projected MA4 falls through projected MA4
When a projected cross occurs, a vertical line marks that projected bar as a possible timing point.
Vertical line visibility is made more consistent by using a deviation-based height (with ATR fallback) so the marker remains readable across different symbols and volatility regimes.
Projected Deviation Envelopes + Alerts (Band 3 / Band 4)
The script measures historical deviation from MA4 within the sampled window using the standard deviation of:
(close − MA4)
That deviation is then applied to the projected MA4 path to form projected envelopes:
Band 3 (Stretch): ±(StDev × 1.618 by default)
Band 4 (Invalidation): ±(StDev × 2.618 by default)
Optional alerts can trigger when price breaches these projected envelopes:
Band 3 Breach: price stretched outside the projected range
Band 4 Breach: price exceeded the larger projected boundary (often treated as invalidation context)
Alerts can be set to use wicks or close.
Table: What It Shows
The table summarizes the current state at a glance:
MA4 value
MA4 value
Alignment: Bullish / Bearish / Neutral
Most recent live cross event:
BUY (MA4 crossed above MA4 )
SELL (MA4 crossed below MA4 )
This helps confirm what you’re seeing without relying on visual estimation.
How to Use It (Simple Workflow)
Read live alignment
MA4 above MA4 = bullish bias
MA4 below MA4 = bearish bias
Enable projection for timing awareness
Turn on Projection
Watch projected cross VLines as “possible next inflection timing” markers
Use Band 3 / Band 4 as context
Band 3 breach can indicate stretch vs the projected path
Band 4 breach can indicate the projected path is less reliable (invalidation context)
Use the table for quick confirmation
It summarizes alignment and the latest live cross state.
Leswin Ribbon + Levels + Hybrid (Stocks/Crypto) v1Leswin Ribbon Signals
A trend-based momentum indicator built for day traders and scalpers. Uses an EMA ribbon, higher-timeframe trend filtering, and volatility conditions to highlight high-probability BUY and SELL zones while avoiding choppy markets.
Optimized for 5m & 15m entries, especially for SPY, QQQ, DIA, IWM, and large-cap stocks, but works on all markets including crypto and forex.
Non-repainting. Best used as a confirmation tool alongside your own levels and risk management.
