STRATEGY 1 │ Red Dragon │ Model 1 │ [Titans_Invest]The Red Dragon Model 1 is a fully automated trading strategy designed to operate BTC/USDT.P on the 4-hour chart with precision, stability, and consistency. It was built to deliver reliable behavior even during strong market movements, maintaining operational discipline and avoiding abrupt variations that could interfere with the trader’s decision-making.
Its core is based on a professionally engineered logical structure that combines trend filters, confirmation criteria, and balanced risk management. Every component was designed to work in an integrated way, eliminating noise, avoiding unnecessary trades, and protecting capital in critical moments. There are no secret mechanisms or hidden logic: everything is built to be objective, clean, and efficient.
Even though it is based on professional quantitative engineering, Red Dragon Model 1 remains extremely simple to operate. All logic is clearly displayed and fully accessible within TradingView itself, making it easy to understand for both beginners and experienced traders. The structure is organized so that any user can quickly view entry conditions, exit criteria, additional filters, adjustable parameters, and the full mechanics behind the strategy’s behavior.
In addition, the architecture was built to minimize unnecessary complexity. Parameters are straightforward, intuitive, and operate in a balanced way without requiring deep adjustments or advanced knowledge. Traders have full freedom to analyze the strategy, understand the logic, and make personal adaptations if desired—always with total transparency inside TradingView.
The strategy was also designed to deliver consistent operational behavior over the long term. Its confirmation criteria reduce impulsive trades; its filters isolate noise; and its overall logic prioritizes high-quality entries in structured market movements. The goal is to provide a stable, clear, and repeatable flow—essential characteristics for any medium-term quantitative approach.
Combining clarity, professional structure, and ease of use, Red Dragon Model 1 offers a solid foundation both for users who want a ready-to-use automated strategy and for those looking to study quantitative models in greater depth.
This entire project was built with extreme dedication, backed by more than 14,000 hours of hands-on experience in Pine Script, continuously refining patterns, techniques, and structures until reaching its current level of maturity. Every line of code reflects this long process of improvement, resulting in a strategy that unites professional engineering, transparency, accessibility, and reliable execution.
🔶 MAIN FEATURES
• Fully automated and robust: Operates without manual intervention, ideal for traders seeking consistency and stability. It delivers reliable performance even in volatile markets thanks to the solid quantitative engineering behind the system.
• Multiple layers of confirmation: Combines 10 key technical indicators with 15 adaptive filters to avoid false signals. It only triggers entries when all trend, market strength, and contextual criteria align.
• Configurable and adaptable filters: Each of the 15 filters can be enabled, disabled, or adjusted by the user, allowing the creation of personalized statistical models for different assets and timeframes. This flexibility gives full freedom to optimize the strategy according to individual preferences.
• Clear and accessible logic: All entry and exit conditions are explicitly shown within the TradingView parameters. The strategy has no hidden components—any user can quickly analyze and understand each part of the system.
• Integrated exclusive tools: Includes complete backtest tables (desktop and mobile versions) with annualized statistics, along with real-time entry conditions displayed directly on the chart. These tools help monitor the strategy across devices and track performance and risk metrics.
• No repaint: All signals are static and do not change after being plotted. This ensures the trader can trust every entry shown without worrying about indicators rewriting past values.
🔷 ENTRY CONDITIONS & RISK MANAGEMENT
Red Dragon Model 1 triggers buy (long) or sell (short) signals only when all configured conditions are satisfied. For example:
• Volume:
• The system only trades when current volume exceeds the volume moving average multiplied by a user-defined factor, indicating meaningful market participation.
• RSI:
• Confirms bullish bias when RSI crosses above its moving average, and bearish bias when crossing below.
• ADX:
• Enters long when +DI is above –DI with ADX above a defined threshold, indicating directional strength to the upside (and the opposite conditions for shorts).
• Other indicators (MACD, SAR, Ichimoku, Support/Resistance, etc.)
Each one must confirm the expected direction before a final signal is allowed.
When all bullish criteria are met simultaneously, the system enters Long; when all criteria indicate a bearish environment, the system enters Short.
In addition, the strategy uses fixed Take Profit and Stop Loss targets for risk control:
Currently: TP around 1.5% and SL around 2.0% per trade, ensuring consistent and transparent risk management on every position.
⚙️ INDICATORS
__________________________________________________________
1) 🔊 Volume: Avoids trading on flat charts.
2) 🍟 MACD: Tracks momentum through moving averages.
3) 🧲 RSI: Indicates overbought or oversold conditions.
4) 🅰️ ADX: Measures trend strength and potential entry points.
5) 🥊 SAR: Identifies changes in price direction.
6) ☁️ Cloud: Accurately detects changes in market trends.
7) 🌡️ R/F: Improves trend visualization and helps avoid pitfalls.
8) 📐 S/R: Fixed support and resistance levels.
9)╭╯MA: Moving Averages.
10) 🔮 LR: Forecasting using Linear Regression.
__________________________________________________________
🟢 ENTRY CONDITIONS 🔴
__________________________________________________________
IF all conditions are 🟢 = 📈 Long
IF all conditions are 🔴 = 📉 Short
__________________________________________________________
🚨 CURRENT TRIGGER SIGNAL 🚨
__________________________________________________________
🔊 Volume
🟢 LONG = (volume) > (MA_volume) * (Volume Mult)
🔴 SHORT = (volume) > (MA_volume) * (Volume Mult)
🧲 RSI
🟢 LONG = (RSI) > (RSI_MA)
🔴 SHORT = (RSI) < (RSI_MA)
🟢 ALL ENTRY CONDITIONS AVAILABLE 🔴
__________________________________________________________
🔊 Volume
🟢 LONG = (volume) > (MA_volume) * (Volume Mult)
🔴 SHORT = (volume) > (MA_volume) * (Volume Mult)
🔊 Volume
🟢 LONG = (volume) > (MA_volume) * (Volume Mult) and (close) > (open)
🔴 SHORT = (volume) > (MA_volume) * (Volume Mult) and (close) < (open)
🍟 MACD
🟢 LONG = (MACD) > (Signal Smoothing)
🔴 SHORT = (MACD) < (Signal Smoothing)
🧲 RSI
🟢 LONG = (RSI) < (Upper)
🔴 SHORT = (RSI) > (Lower)
🧲 RSI
🟢 LONG = (RSI) > (RSI_MA)
🔴 SHORT = (RSI) < (RSI_MA)
🅰️ ADX
🟢 LONG = (+DI) > (-DI) and (ADX) > (Treshold)
🔴 SHORT = (+DI) < (-DI) and (ADX) > (Treshold)
🥊 SAR
🟢 LONG = (close) > (SAR)
🔴 SHORT = (close) < (SAR)
☁️ Cloud
🟢 LONG = (Cloud A) > (Cloud B)
🔴 SHORT = (Cloud A) < (Cloud B)
☁️ Cloud
🟢 LONG = (Kama) > (Kama )
🔴 SHORT = (Kama) < (Kama )
🌡️ R/F
🟢 LONG = (high) > (UP Range) and (upward) > (0)
🔴 SHORT = (low) < (DOWN Range) and (downward) > (0)
🌡️ R/F
🟢 LONG = (high) > (UP Range)
🔴 SHORT = (low) < (DOWN Range)
📐 S/R
🟢 LONG = (close) > (Resistance)
🔴 SHORT = (close) < (Support)
╭╯MA2️⃣
🟢 LONG = (Cyan Bar MA2️⃣)
🔴 SHORT = (Red Bar MA2️⃣)
╭╯MA2️⃣
🟢 LONG = (close) > (MA2️⃣)
🔴 SHORT = (close) < (MA2️⃣)
╭╯MA2️⃣
🟢 LONG = (Positive MA2️⃣)
🔴 SHORT = (Negative MA2️⃣)
__________________________________________________________
🎯 TP / SL 🛑
__________________________________________________________
🎯 TP: 1.5 ％
🛑 SL: 2.0 ％
__________________________________________________________
🪄 UNIQUE FEATURES OF THIS STRATEGY
____________________________________
1) 𝄜 Table Backtest for Mobile.
2) 𝄜 Table Backtest for Computer.
3) 𝄜 Table Backtest for Computer & Annual Performance.
4) 𝄜 Live Entry Conditions.
1) 𝄜 Table Backtest for Mobile.
2) 𝄜 Table Backtest for Computer.
3) 𝄜 Table Backtest for Computer & Annual Performance.
4) 𝄜 Live Entry Conditions.
_____________________________
𝄜 BACKTEST / PERFORMANCE 𝄜
_____________________________
• Net Profit: +634.47%, Maximum Drawdown: -18.44%.
🪙 PAIR / TIMEFRAME ⏳
🪙 PAIR: BINANCE:BTCUSDT.P
⏳ TIME: 4 hours (240m)
✅ ON ☑️ OFF
✅ LONG
✅ SHORT
🎯 TP / SL 🛑
🎯 TP: 1.5 (％)
🛑 SL: 2.0 (％)
⚙️ CAPITAL MANAGEMENT
💸 Initial Capital: 10000 $ (TradingView)
💲 Order Size: 10 ％ (Of Equity)
🚀 Leverage: 10 x (Exchange)
💩 Commission: 0.03 ％ (Exchange)
📆 BACKTEST
🗓️ Start: Setember 24, 2019
🗓️ End: November 21, 2025
🗓️ Days: 2250
🗓️ Yers: 6.17
🗓️ Bars: 13502
📊 PERFORMANCE
💲 Net Profit: + 63446.89 $
🟢 Net Profit: + 634.47 ％
💲 DrawDown Maximum: - 10727.48 $
🔴 DrawDown Maximum: - 18.44 ％
🟢 Total Closed Trades: 1042
🟡 Percent Profitable: 63.92 ％
🟡 Profit Factor: 1.247
💲 Avg Trade: + 60.89 $
⏱️ Avg # Bars in Trades
🕯️ Avg # Bars: 4
⏳ Avg # Hrs: 15
✔️ Trades Winning: 666
❌ Trades Losing: 376
✔️ Maximum Consecutive Wins: 11
❌ Maximum Consecutive Losses: 7
📺 Live Performance : br.tradingview.com
• Use this strategy on the recommended pair and timeframe above to replicate the tested results.
• Feel free to experiment and explore other settings, assets, and timeframes.
Bitcoin (Crypto-monnaie)
Digital Credit Market ValueDigital Credit Frontier
Script for tracking total notional value and total market value for the Digital Credit Market. Needs be manually updated. You can open it twice to get the total value in one pane and the oscillator in the other pane.
BTC Risk Metric DCA Adapter (3Commas Webhook Strategy)Risk Metric DCA Adapter (3Commas Webhook Strategy) - WORK IN PROGRESS
This Pine Script strategy, originally inspired by the Risk Metric Indicator, is fundamentally engineered as an Adapter to interface with external trading bots like 3Commas via Webhooks. It calculates a dynamic market risk score and translates that score into specific dollar-cost averaging (DCA) entry levels and tiered profit-taking exits.
Key Features & Logic
Risk Metric Calculation (Credit to The Trading Parrot):
The strategy incorporates a complex, multi-timeframe Risk Metric calculation based on daily and weekly moving averages (SMA) and standard deviation (StDev). This metric aims to quantify the current market overextension or compression relative to long-term historical data. The resulting score dictates the level of conviction for a new trade.
Tiered DCA Entry Sizing:
The strategy defines three distinct Buy Levels (L1, L2, L3) corresponding to increasingly favorable (lower) Risk Metric scores.
L1 (Base): Risk is moderate, initiating the minimum defined trade amount.
L2 (Scaled): Risk is low, initiating L1 amount + L2 amount.
L3 (Aggressive): Risk is very low, initiating L1 + L2 + L3 amounts.
Tiered Profit-Taking Exits:
The strategy implements a staggered, partial profit-taking approach based on the Risk Metric rising:
Sell L1 & L2: Closes a percentage of the current position when the Risk Metric reaches defined high thresholds, locking in partial profits.
Sell L3 (Full Exit): Closes the remaining position when the Risk Metric reaches the highest defined threshold.
The Adapter Function (Webhook Integration)
This script is unique because it uses the Pine Script strategy() function to trigger Order Fills, which are necessary to access powerful placeholders in the TradingView alert system.
Trigger Type: The alert must be set to trigger on Any order fill.
Dynamic Webhook Data: Instead of using fixed alert() commands, the strategy generates dynamic labels (e.g., BUY_ENTRY_L3_USD_1000 or SELL_L1_PCT_25) using the strategy.entry and strategy.close commands.
Data Transfer: The alert message then uses the placeholder {{strategy.order.comment}} to pass these dynamic labels to the 3Commas bot, allowing the bot to execute the precise action (e.g., start_deal_with_volume_in_quote_currency or close_deal_at_market_percentage).
Full Strategy Webhook payload
{
"secret": "YOUR_3COMMAS_SECRET_KEY",
"max_lag": "300",
"timestamp": "{{timenow}}",
"trigger_price": "{{close}}",
"tv_exchange": "{{exchange}}",
"tv_instrument": "{{ticker}}",
"action": "{{strategy.order.action}}",
"bot_uuid": "YOUR_BOT_UUID",
"strategy_info": {
"market_position": "{{strategy.market_position}}",
"market_position_size": "{{strategy.market_position_size}}",
"prev_market_position": "{{strategy.prev_market_position}}",
"prev_market_position_size": "{{strategy.prev_market_position_size}}"
},
"order": {
"amount": "{{strategy.order.contracts}}",
"currency_type": "base",
"comment": "{{strategy.order.comment}}"
}
}
Disclaimer: This script is an adapter tool and does not guarantee profit. Trading requires manual configuration of risk settings, bot parameters, and adherence to platform-specific setup instructions.
Pi Cycle BTC Top + Pre-Alert BandsPi Cycle BTC Top + Pre-Alert Bands is an advanced implementation of the classic Pi Cycle Top model, designed for Bitcoin cycle analysis on higher timeframes (especially 1D BTCUSD/BTCUSD·INDEX).
The original Pi Cycle Top uses two moving averages:
• 111-day SMA (short MA)
• 350-day SMA ×2 (long MA)
A Pi Top is signaled when the 111 SMA crosses above the 350×2 SMA. Historically, this has occurred near major BTC cycle highs.
This script extends that idea with a 3-step early-warning sequence:
• Pi Green – early compression: short/long MA ratio crosses upward into the green band (convergence from below is required).
• Pi Yellow – mid-cycle warning: only fires if a valid Green has already occurred in the same cycle.
• Pi Cycle Top – final top: the classic Pi Cycle cross, limited to one top signal per cycle. After a top, no new Yellow or Top signals can appear until a new Green event starts the next cycle.
Background shading shows the active phase (Green / Yellow / late-cycle zone), so you can see at a glance where BTC is within its Pi-based macro structure.
All logic is non-repainting: request.security() uses lookahead_off and no future data is accessed.
Typical use
This indicator is intended as a macro-cycle timing and risk-awareness tool, not a stand-alone entry system. Many traders use it to:
• Watch for Pi Green as the start of a potential late-cycle advance.
• Treat Pi Yellow as a rising-risk environment and tighten risk management.
• Use the Pi Cycle Top as a historical high-risk zone where large profit-taking or hedging may be considered.
Always combine this with your own analysis (trend, volume, on-chain, macro) before making decisions.
How to set alerts
Add the indicator to your chart (1D BTCUSD or BTCUSD·INDEX recommended).
Click Alerts → Condition → Pi Cycle BTC Top + Pre-Alert Bands.
Choose one of:
• Pi Cycle – Green Pre-Alert (early convergence)
• Pi Cycle – Yellow Pre-Alert (after Green only)
• Pi Cycle – TOP (Single per Cycle, after Green)
Use “Once per bar close” for higher-timeframe reliability.
Disclaimer
This tool is for educational and analytical purposes only. The Pi Cycle concept is based on historical behavior and does not guarantee future results. This is not financial advice; always do your own research and manage risk appropriately.
[Algoros] BTC Major Trendline# BTC Major Trendline - Long-Term Bitcoin Trend Analysis
## Overview
BTC Major Trendline is a comprehensive technical analysis tool designed to track Bitcoin's long-term bullish trajectory using historically significant price points. This indicator establishes a primary upward trendline anchored to two major Bitcoin cycle lows, along with optional parallel channels and Fibonacci-based price projections.
## ⚠️ Important Requirements
**This indicator requires a Bitcoin chart with sufficient historical data dating back to at least April 2013.**
**✅ Recommended Charts:**
- `INDEX:BTCUSD` - Bitcoin Index (comprehensive history)
- `BITSTAMP:BTCUSD` - Bitstamp Bitcoin (default setting)
**❌ Will NOT work properly on:**
- Charts with limited history (Like hourly charts)
- Exchanges that launched after 2013
- Altcoin pairs or other cryptocurrencies
If the indicator doesn't display correctly, switch to one of the recommended Bitcoin charts above.
## Key Features
### 📈 Primary Trendline
- Anchored to two historically significant lows:
- **Start Point**: July 6, 2013 - Early Bitcoin accumulation phase
- **End Point**: November 21, 2022 - FTX collapse bottom
- Automatically calculates and extends the trendline based on these anchor points
- Displayed as a solid orange line
### 🔷 Parallel Channel Line (Optional)
- Creates an upper boundary by connecting historical high points:
- April 10, 2013 and June 11, 2017
- Helps identify potential resistance zones and channel breakouts
- Displayed as a blue dotted line for easy distinction
### 🎯 Fibonacci Trendline Multipliers (Optional)
- Seven Fibonacci-based projection lines: **1.6x, 2x, 3x, 5x, 8x, 13x, and 21x**
- Each multiplier creates a parallel trendline above the main trend
- Color-coded from teal to maroon for clear visual separation
- Useful for identifying potential profit-taking zones and long-term price targets
### 📉 Negative Fibonacci Trendlines (Optional)
- Seven division-based support lines: **÷1.6, ÷2, ÷3, ÷5, ÷8, ÷13, and ÷21**
- Projects downward channels below the main trendline
- Displayed in yellow tones for easy identification
- Helps identify extreme oversold conditions and potential bounce zones
## Customization Options
- **Symbol Input**: Track any Bitcoin pair with sufficient history (default: BITSTAMP:BTCUSD)
- **Show/Hide Components**: Toggle parallel line, Fibonacci multipliers, and negative Fibonacci lines independently
- **Line Extension**: Extend lines right, left, both directions, or none
- **Multi-Timeframe Compatible**: View on any timeframe once loaded on a compatible chart
## How to Use
1. **Setup**: First, open a Bitcoin chart with sufficient history (INDEX:BTCUSD or BITSTAMP:BTCUSD recommended)
2. **Trend Confirmation**: The main orange trendline represents the long-term bullish trajectory. Price staying above this line suggests the bull market remains intact.
3. **Channel Trading**: Use the parallel line (blue dotted) as a potential upper boundary for the long-term channel.
4. **Price Targets**: Enable Fibonacci multiplier lines to identify ambitious long-term price targets during bull runs. Higher multipliers (13x, 21x) represent parabolic extension zones.
5. **Support Identification**: Enable negative Fibonacci lines to spot potential support zones during corrections or bear markets.
6. **Risk Management**: Breaking below the main trendline could signal a shift in long-term trend, warranting caution.
## Technical Implementation
- Uses `request.security()` to fetch precise daily prices at historical timestamps
- Requires access to Bitcoin price data from April 2013 onwards
- Calculates slope dynamically based on anchor points
- All lines update in real-time as new price data emerges
- Efficient rendering system minimizes performance impact
## Best Used For
✅ Long-term Bitcoin investors and HODLers
✅ Identifying major trend direction
✅ Setting realistic long-term price targets
✅ Spotting potential support/resistance zones
✅ Multi-timeframe analysis (on compatible charts)
✅ Educational purposes (understanding logarithmic growth)
## Troubleshooting
**Lines not appearing?**
- Ensure you're viewing INDEX:BTCUSD or BITSTAMP:BTCUSD
- Check that the chart has data back to April 2013
- Verify the symbol input matches your chart
- Try switching to a daily or weekly timeframe first
Fear & Greed Oscillator - Risk SentimentThe Fear & Greed Oscillator – Risk Sentiment is a macro-driven sentiment indicator inspired by the popular Fear & Greed Index , but rebuilt from the ground up using real, market-based economic data and statistical normalization.
While the traditional Fear & Greed Index uses components like volatility, volume, and social media trends to estimate sentiment, this version is powered by the Copper/Gold ratio — a historically respected gauge of macroeconomic confidence and risk appetite.
📈 Expansion vs. Contraction Theory
At the heart of this oscillator is a simple macroeconomic insight:
🟢 Copper performs well during periods of economic expansion and risk-on behavior (industrials, construction, manufacturing growth).
🔴 Gold performs well during periods of economic contraction , as a classic risk-off, capital-preserving asset.
By tracking the ratio of Copper to Gold prices over time and converting it into a Z-score , this tool shows when macro sentiment is statistically stretched toward greed or fear — based on how unusually strong one side of the ratio is relative to its historical average.
⚙️ How It Works
The script takes two user-defined tickers (default: Copper and Gold) and calculates their ratio.
It then applies Z-score normalization over a user-defined period (default: 200 bars).
A color gradient line is plotted:
🔴 Z < -2 = Extreme Fear
🟣 -2 to 0 = Mild Fear to Neutral
🔵 0 to 2 = Neutral to Greed
🟢 Z > 2 = Extreme Greed
Visual guides at ±1, ±2, ±3 standard deviations give immediate context.
Includes alert conditions when the Z-score crosses above +2 (Greed) or below -2 (Fear).
🔔 Alerts
“Z-Score has entered the Greed Zone ” when Z > 2
“Z-Score has entered the Fear Zone ” when Z < -2
These are designed to help catch macro sentiment extremes before or during large shifts in market behavior.
⚠️ Disclaimer
This indicator is a macro sentiment tool, not a direct trading signal. While the Copper/Gold ratio often reflects economic risk trends, correlation with risk assets (like Bitcoin or equities) is not guaranteed and may vary by cycle. Always use this indicator in conjunction with other tools and contextual analysis.
Bitcoin AHR999 Indicator
AHR999 Indicator
The AHR999 Indicator is created by a Weibo user named ahr999. It assists Bitcoin investors in making investment decisions based on a timing strategy. This indicator implies the short-term returns of Bitcoin accumulation and the deviation of Bitcoin price from its expected valuation.
When the AHR999 index is < 0.45 , it indicates a buying opportunity at a low price.
When the AHR999 index is between 0.45 and 1.2 , it is suitable for regular investment.
When the AHR999 index is > 1.2 , it suggests that the coin price is relatively high and not suitable for trading.
In the long term, Bitcoin price exhibits a positive correlation with block height. By utilizing the advantage of regular investment, users can control their short-term investment costs, keeping them mostly below the Bitcoin price.
@MO_XBT - EMA/MA ToolkitClean set of EMAs & MAs I use for trend tracking, momentum shifts, and cross signals
If you found this useful, follow me on X: @mo_xbt
Triple Correlation Signal by COCOSTATriple Correlation Signal by COCOSTA
Concept
Bitcoin experiences violent swings driven by large liquidations and panic selling. During these chaotic market events, Bitcoin often decouples from its usual correlation patterns with traditional assets like gold, copper, and equity indices.
This indicator identifies these critical moments when an asset simultaneously loses correlation with three major reference assets—a phenomenon that typically signals oversold conditions and extreme market dislocations .
How It Works
The Triple Correlation Signal monitors the correlation coefficient between your primary asset and three customizable assets. Simply apply it to any chart—the signals will trigger based on that asset's correlation behavior.
Default Setup: Bitcoin (BTC1!)
Gold (GC1!) - Safe-haven asset correlation
Copper (HG1!) - Industrial/economic growth correlation
NASDAQ-100 (US100) - Technology/equity market correlation
When all three correlations fall below zero simultaneously , the indicator triggers a signal. This rare multi-asset decorrelation event suggests that the asset has decoupled far beyond normal trading ranges—often indicating extreme selling pressure that has pushed prices to unreasonable levels .
Signal Visualization
The indicator displays signals as vertical lines that span the full chart height when all three correlations drop below zero. A semi-transparent red background also highlights periods when the signal condition is active. This neutral visual representation avoids implying a specific directional bias.
Universal Application
This indicator works on any ticker or asset class . Simply change the chart to your desired asset and adjust the three correlation symbols to match different market combinations:
Stocks: Compare against sector indices, VIX, and bond futures
Commodities: Compare against currencies, equity indices, and related commodities
Forex: Compare against central bank proxies, commodity indices, and equity markets
Why Use BTC1! (CME Bitcoin Futures)
For Bitcoin specifically, use BTC1! (CME Bitcoin Futures) rather than spot BTCUSD. Since traditional assets like gold (GC1!) and copper (HG1!) trade on CME with market hours, using BTC1! ensures synchronized trading sessions and accurate correlation measurements . The 24/7 spot market can create timing mismatches that distort correlation readings.
Trading Application
Signal triggers = Potential capitulation events and oversold extremes
Best used with other confirmation indicators (support levels, RSI, volume analysis)
Customizable correlation length (default: 62 bars) and asset symbols to match any strategy
Finding Your Edge
Experiment with different asset combinations for your trading interest. If you discover particularly effective correlation combinations—especially for underexplored assets—feel free to reach out. Your insights help COCOSTA continuously improve market analysis tools.
Key Insight
When massive liquidations force panic selling, assets temporarily break their normal relationships with other markets. The Triple Correlation Signal catches these precise moments—your edge in identifying when any asset has been sold below reasonable value.
Created by COCOSTA | Advanced Market Analysis Tools
EMA + RSI Autotrade Webhook - VarunOverview
The EMA + RSI Autotrade Webhook is a powerful trend-following indicator designed for automated crypto futures trading. This indicator combines the reliability of Exponential Moving Average (EMA) crossovers with RSI momentum filtering to generate high-probability buy and sell signals optimized for webhook integration with crypto exchanges like Delta Exchange, Binance Futures, and Bybit.Key Features
Simple & Effective: Uses proven EMA 9/21 crossover strategy
RSI Momentum Filter: Eliminates low-probability trades in ranging markets
Webhook Ready: Two clean alerts (LONG Entry, SHORT Entry) for seamless automation
Exchange Compatible: Works with Delta Exchange, 3Commas, Alertatron, and other webhook platforms
Zero Lag Signals: Real-time alerts on crossover confirmation
Visual Clarity: Clean chart markers for easy signal identification
How It Works
Entry Signals:
LONG Entry: Triggers when EMA 9 crosses above EMA 21 AND RSI is above 52 (bullish momentum confirmed)
SHORT Entry: Triggers when EMA 9 crosses under EMA 21 AND RSI is below 48 (bearish momentum confirmed)
Technical Components:
Fast EMA: 9-period (tracks short-term price action)
Slow EMA: 21-period (identifies primary trend)
RSI: 14-period (confirms momentum strength)
RSI Long Threshold: 52 (filters weak bullish signals)
RSI Short Threshold: 48 (filters weak bearish signals)
Best Use Cases
Crypto Futures Trading: Bitcoin, Ethereum, Altcoin perpetual contracts
Automated Trading Bots: Integration with Delta Exchange webhooks, TradingView alerts
Timeframes: Optimized for 15-minute charts (works on 5min-1H)
Markets: Trending crypto markets with clear directional moves
Risk Management: Best used with 1-2% stop loss per trade (managed externally)
Webhook Automation Setup
Add indicator to your TradingView chart
Create alerts for "LONG Entry" and "SHORT Entry"
Configure webhook URL from your exchange (Delta Exchange, Binance, etc.)
Use alert message: Entry LONG {{ticker}} @ {{close}} or Entry SHORT {{ticker}} @ {{close}}
Exchange automatically reverses positions on opposite signals
Advantages
✅ No manual trading required - fully automated
✅ Eliminates emotional trading decisions
✅ Catches trending moves early with EMA crossovers
✅ RSI filter reduces whipsaws in choppy markets
✅ Works 24/7 without monitoring
✅ Simple two-alert system (easy to manage)
✅ Compatible with multiple exchanges via webhooksStrategy Philosophy
This indicator follows a trend-following with momentum confirmation approach. By waiting for both EMA crossover AND RSI confirmation, it ensures you're entering trades with genuine momentum behind them, not just random price noise. The tight RSI thresholds (52/48) keep you aligned with the prevailing trend.Recommended Settings
Timeframe: 15-minute (primary), 5-minute (scalping), 1-hour (swing)
Markets: BTC/USDT, ETH/USDT, high-liquidity altcoin perpetuals
Position Sizing: 100% capital per signal (exchange manages reversals)
Stop Loss: 2% (managed via exchange or external bot)
Leverage: 1-2x for conservative approach, up to 5x for aggressive
Important Notes
⚠️ This indicator generates entry signals only - position reversals are handled automatically by your exchange
⚠️ Always backtest on historical data before live trading
⚠️ Use proper risk management and position sizing
⚠️ Best performance in trending markets; may generate false signals in tight ranges
⚠️ Requires TradingView Premium or higher for webhook functionalityTags
cryptocurrency futures automated-trading ema-crossover rsi webhook delta-exchange tradingview-alerts trend-following momentum bitcoin ethereum crypto-bot algo-trading 15-minute-strategy
McRib Release Dates IndicatorMarks the McRib release dates from 2019-Current. Previous dates from Pre-2019 weren't clear enough to include accurate info. Goated Indicator. 67 😎
Bull Bear Indicator# Bull Bear Indicator - TradingView Script Description
## Overview
The Bull Bear Indicator is a powerful visual tool that instantly identifies market sentiment by coloring all candlesticks based on their position relative to a moving average. This indicator helps traders quickly identify bullish and bearish market conditions at a glance.
## Key Features
### 🎨 Visual Bull/Bear Identification
- **Green Candles**: Price is at or above the moving average (Bullish condition)
- **Red Candles**: Price is below the moving average (Bearish condition)
- Complete candle coloring including body, wicks, and borders for maximum clarity
### 📊 Flexible Moving Average Options
- **MA Type**: Choose between Simple Moving Average (MA) or Exponential Moving Average (EMA)
- **Timeframe**: Select Weekly or Daily timeframe for the moving average calculation
- **Customizable Period**: Adjust the MA/EMA period (default: 50)
### 📈 Smooth Moving Average Line
- Displays a smooth blue moving average line on the chart
- Automatically adapts to your selected timeframe and MA type
- Provides clear visual reference for trend identification
## How It Works
The indicator calculates a moving average (MA or EMA) based on your selected timeframe (Weekly or Daily). It then compares the current price to this moving average:
- **Bull Market**: When price ≥ Moving Average → Candles turn **GREEN**
- **Bear Market**: When price < Moving Average → Candles turn **RED**
## Configuration Options
1. **MA Type**: Choose "MA" for Simple Moving Average or "EMA" for Exponential Moving Average
2. **Timeframe**: Select "Weekly" for weekly-based MA or "Daily" for daily-based MA
3. **MA Period**: Set the number of periods for the moving average calculation (default: 50)
## Use Cases
- **Trend Identification**: Quickly identify overall market trend direction
- **Entry/Exit Signals**: Use color changes as potential entry or exit signals
- **Multi-Timeframe Analysis**: Combine with different chart timeframes for comprehensive analysis
- **Visual Clarity**: Reduce chart clutter while maintaining essential trend information
## Best Practices
- Use Weekly MA for longer-term trend identification
- Use Daily MA for shorter-term trend analysis
- Combine with other technical indicators for confirmation
- Adjust the MA period based on your trading style and timeframe
## Technical Details
- Built with Pine Script v6
- Overlay indicator (displays on main chart)
- Optimized for performance
- Compatible with all TradingView chart types
---
**Note**: This indicator is for educational and informational purposes only. Always conduct your own analysis and risk management before making trading decisions.
NEESON Plus Crypto Market Sentiment IndicatorCore Features
1. Multi-Factor Sentiment Scoring System
Comprehensive Algorithm: Combines 6 different market indicators
Weighted Scoring: Each factor contributes with different weights
Real-time Calculation: Updates with every new bar
Smoothing Mechanism: Triple EMA smoothing for stable signals
2. Advanced Technical Indicators Integration
Multi-Timeframe RSI: 1H, 4H, and Daily RSI analysis
Volume Analysis: Volume spikes and decline detection
ATR Volatility: Market volatility assessment
MACD Momentum: Trend momentum confirmation
Bollinger Bands: Price position analysis
3. Proprietary Indicator Calculations
AHR999 Proxy: Enhanced version for crypto markets
Puell Multiple Proxy: Dynamic calculation with RSI adjustment
PI Cycle Top: Multi-moving average cycle analysis
CBBI Enhanced: Crypto Bull Bear Index with momentum
Market Volatility Sentiment: Volatility-based sentiment scoring
Volume Sentiment: Volume-based market sentiment
Signal Generation System
4. Multi-Condition Signal Filters
Strong Buy/Sell Signals: Multiple confirmation requirements
Warning Signals: Early entry/exit indications
Confirmation Bars: User-configurable signal confirmation
Trend Filter: Optional trend alignment requirement
Volume Filter: Volume spike confirmation
Volatility Filter: ATR-based market condition filtering
Momentum Filter: MACD momentum confirmation
5. Advanced Signal Management
Signal State Tracking: Maintains current position state
Duration Tracking: Tracks how long signals have been active
Entry Score Recording: Records sentiment score at entry
Consecutive Signal Counting: Prevents signal flipping
Exit Conditions: Multiple exit criteria for risk management
Visualization Features
6. Professional Chart Display
Dual Score Plotting: Comprehensive and raw sentiment scores
Color-Coded Background: Real-time market sentiment coloring
Threshold Lines: Clear visual reference levels
Area Fills: Colored zones for different sentiment levels
Signal Markers: Visual indicators for buy/sell signals
7. Information Panel
Real-time Data Display: Current scores and signals
Position Tracking: Duration and entry information
Performance Metrics: Floating P/L calculation
Market Status: RSI, Volume, Volatility, MACD status
Configuration Status: Current filter settings
Customization Options
8. User-Configurable Parameters
Threshold Settings: Adjustable buy/sell/exit levels
Filter Toggles: Enable/disable various filters
Indicator Periods: Customizable calculation periods
Color Settings: Fully customizable color scheme
Signal Duration: Minimum signal duration requirements
9. Alert System
Strong Buy/Sell Alerts: Immediate notification for strong signals
Warning Alerts: Early signal notifications
Custom Alert Messages: Clear, descriptive alert texts
Multiple Timeframe Compatibility: Works across all timeframes
Risk Management Features
10. Built-in Protection Mechanisms
Signal Confirmation: Prevents false signals
Exit Triggers: Multiple exit conditions
Position Duration Limits: Automatic exit after prolonged periods
Profit/Loss Tracking: Real-time performance monitoring
Volatility Adjustment: Adapts to market conditions
Technical Specifications
11. Performance Optimization
Efficient Calculation: Optimized for real-time performance
Multi-Timeframe Support: Works on all chart timeframes
Resource Management: Controlled line and label counts
Precision Control: Adjustable decimal precision
12. Compatibility
Cryptocurrency Focus: Specifically designed for crypto markets
Multi-Asset Support: Works with all TradingView symbols
Platform Compatibility: Fully compatible with TradingView platform
Mobile Support: Responsive design for mobile devices
Usage Benefits
Comprehensive Analysis: Single indicator providing multiple insights
Clear Signals: Easy-to-understand buy/sell indications
Customizable: Adaptable to different trading styles
Risk-Aware: Built-in risk management features
Professional Grade: Institutional-level analysis tools
User-Friendly: Intuitive visual interface
Educational: Helps understand market sentiment dynamics
This indicator is designed to provide traders with a comprehensive market sentiment analysis tool specifically optimized for cryptocurrency markets, combining traditional technical analysis with crypto-specific metrics.
【MasterHSC】CCI Mean Derivative Smart Strategy🧾 Strategy Description (English)
CCI Mean Slope Smart Strategy
This strategy is built on the derivative slope behavior of the Commodity Channel Index (CCI) mean line.
It identifies key turning points or trend continuations based on how the smoothed CCI (mean value) changes direction after reaching overbought or oversold zones.
Core Idea:
When the CCI mean reverses slope after exceeding ±100, it signals a potential mean reversion (range-trading opportunity).
When the CCI mean remains above +100 or below −100 with a consistent slope, it indicates a strong trending phase (momentum continuation).
The strategy dynamically adapts between these two behaviors depending on market conditions.
Modes:
🌀 Range Reversal Mode — Focuses on slope reversals after overbought/oversold conditions.
🚀 Trend Following Mode — Captures strong momentum when the CCI mean stays extended.
🧠 Auto Mode — Automatically switches between Range and Trend logic based on CCI mean volatility.
Key Features:
Dual-direction toggle: Enable or disable long/short entries independently.
Adjustable tolerance: Choose fixed or dynamic thresholds for flexibility.
Automatic mode label and visual buy/sell markers on the chart.
Pure CCI-based system — no external filters or indicators required.
Purpose:
This system is designed to reduce false signals in sideways markets while preventing missed opportunities during strong directional trends, offering a clean balance between precision and adaptability.
BTC Open interest (binance, bybit, okx, bitget, htx, deribit)📈 BTC Open Interest Candles (Binance, Bybit, OKX, Bitget, HTX, Deribit)
🌟 Overview
This Pine Script indicator fetches real-time Bitcoin (BTC) perpetual futures open interest (OI) data from major cryptocurrency exchanges (Binance, OKX, Bybit, Bitget, HTX, Deribit), aggregates it, and visualizes it as candlesticks on the chart. Each candlestick represents the combined OI values at the open, high, low, and close of that bar. Candlestick colors change based on whether the current bar’s close OI is higher or lower than the previous bar’s, allowing intuitive tracking of OI fluctuations.
✨ Key Features
Multi-exchange OI aggregation: Combines OI data from selected exchanges to create a unified OI candlestick series.
Candlestick visualization: Converts aggregated OI values into open, high, low, and close values to plot candlestick charts, clearly showing the range and trend of OI over time.
Color-coded OI change:
Close OI higher than previous bar → teal candlestick (OI increase)
Close OI lower than previous bar → red candlestick (OI decrease)
⚙️ Inputs
Show Binance true Include Binance OI in the aggregation.
Show OKX true Include OKX OI in the aggregation.
Show Bybit true Include Bybit OI in the aggregation.
Show Bitget true Include Bitget OI in the aggregation.
Show HTX true Include HTX OI in the aggregation.
Show Deribit true Include Deribit OI in the aggregation.
📊 Calculation Methodology
Requests OI open, high, low, close values for the specified exchange using request.security().
Missing data (na) is treated as 0 to prevent aggregation errors.
Returns OI values as arrays.
➕ Aggregation of individual OI
Variables combinedOiOpen, combinedOiHigh, combinedOiLow, combinedOiClose initialized to 0.
Calls getOI for each enabled exchange and adds returned values to the combined variables.
🎨 Candlestick color determination
oiColorCond checks whether combinedOiClose > combinedOiClose .
True → openInterestColor = color.teal (OI increase)
False → openInterestColor = color.red (OI decrease)
🕯 Candlestick plotting
plotCandles ensures at least one exchange is selected.
plotcandle() is called with na values if no exchanges are selected to avoid drawing candles.
Candle body, wick, and border colors follow openInterestColor.
💡 How to Use
🌐 Integrated market sentiment
Observe overall market OI changes using a unified candlestick chart rather than fragmented exchange data to understand market sentiment and capital flow.
🔍 Compare with price movements
Analyze price charts alongside OI candlesticks to see how OI changes affect (or are affected by) price.
🟢 Price rising + teal OI candlestick (OI increase): Indicates bullish momentum from new long entries or short covering.
🔴 Price falling + red OI candlestick (OI decrease): Suggests bearish momentum from long liquidations or increased short covering.
📈 Price rising + red OI candlestick (OI decrease): Could reflect a short squeeze or profit-taking in long positions.
📉 Price falling + teal OI candlestick (OI increase): May indicate new short positions or forced long liquidations (stop-loss triggers).
⚡ Volatility prediction
Large OI candles or consecutive candles of a certain color can indicate imminent or ongoing significant market moves.
FluxVector Liquidity Universal Trendline FluxVector Liquidity Trendline FFTL
Summary in one paragraph
FFTL is a single adaptive trendline for stocks ETFs FX crypto and indices on one minute to daily. It fires only when price action pressure and volatility curvature align. It is original because it fuses a directional liquidity pulse from candle geometry and normalized volume with realized volatility curvature and an impact efficiency term to modulate a Kalman like state without ATR VWAP or moving averages. Add it to a clean chart and use the colored line plus alerts. Shapes can move while a bar is open and settle on close. For conservative alerts select on bar close.
Scope and intent
• Markets. Major FX pairs index futures large cap equities liquid crypto top ETFs
• Timeframes. One minute to daily
• Default demo used in the publication. SPY on 30min
• Purpose. Reduce false flips and chop by gating the line reaction to noise and by using a one bar projection
• Limits. This is a strategy. Orders are simulated on standard candles only
Originality and usefulness
• Unique fusion. Directional Liquidity Pulse plus Volatility Curvature plus Impact Efficiency drives an adaptive gain for a one dimensional state
• Failure mode addressed. One or two shock candles that break ordinary trendlines and saw chop in flat regimes
• Testability. All windows and gains are inputs
• Portable yardstick. Returns use natural log units and range is bar high minus low
• Protected scripts. Not used. Method disclosed plainly here
Method overview in plain language
Base measures
• Return basis. Natural log of close over prior close. Average absolute return over a window is a unit of motion
Components
• Directional Liquidity Pulse DLP. Measures signed participation from body and wick imbalance scaled by normalized volume and variance stabilized
• Volatility Curvature. Second difference of realized volatility from returns highlights expansion or compression
• Impact Efficiency. Price change per unit range and volume boosts gain during efficient moves
• Energy score. Z scores of the above form a single energy that controls the state gain
• One bar projection. Current slope extended by one bar for anticipatory checks
Fusion rule
Weighted sum inside the energy score then logistic mapping to a gain between k min and k max. The state updates toward price plus a small flow push.
Signal rule
• Long suggestion and order when close is below trend and the one bar projection is above the trend
• Short suggestion and flip when close is above trend and the one bar projection is below the trend
• WAIT is implicit when neither condition holds
• In position states end on the opposite condition
What you will see on the chart
• Colored trendline teal for rising red for falling gray for flat
• Optional projection line one bar ahead
• Optional background can be enabled in code
• Alerts on price cross and on slope flips
Inputs with guidance
Setup
• Price source. Close by default
Logic
• Flow window. Typical range 20 to 80. Higher smooths the pulse and reduces flips
• Vol window. Typical range 30 to 120. Higher calms curvature
• Energy window. Typical range 20 to 80. Higher slows regime changes
• Min gain and Max gain. Raise max to react faster. Raise min to keep momentum in chop
UI
• Show 1 bar projection. Colors for up down flat
Properties visible in this publication
• Initial capital 25000
• Base currency USD
• Commission percent 0.03
• Slippage 5
• Default order size method percent of equity value 3%
• Pyramiding 0
• Process orders on close off
• Calc on every tick off
• Recalculate after order is filled off
Realism and responsible publication
• No performance claims
• Intrabar reminder. Shapes can move while a bar forms and settle on close
• Strategy uses standard candles only
Honest limitations and failure modes
• Sudden gaps and thin liquidity can still produce fast flips
• Very quiet regimes reduce contrast. Use larger windows and lower max gain
• Session time uses the exchange time of the chart if you enable any windows later
• Past results never guarantee future outcomes
Open source reuse and credits
• None
Digital Credit: Yields, Spreads & Regime
TN Preferreds is a yield-centric dashboard for bitcoin backed preferreds that overlays effective yields. It builds credit/benchmark spread series, a simple regime model (Risk-On / Cautious / Risk-Off), and a compact table that surfaces price, yield, target, upside and diagnostics—so you can quickly judge relative value and risk conditions.
What it does:
Plots effective yields for STRF/STRC/STRK/STRD (+ CNLTN toggle).
Pulls IG (FRED:BAMLC0A0CMEY), HY (FRED:BAMLH0A0HYM2EY) and US10Y as references.
Computes Credit Spreads vs US10Y and Benchmark Spreads (F−IG, C−IG, K−IG−1%, D−HY) with EMAs/SMA for context.
STRC monthly rate input: set 12 monthly percentages; the current month auto-applies to compute the dividend.
Targets & upside: yield-parity targets for each series + % move to target
Leader logic: picks the series with the strongest SMA-based spread improvement and estimates a leader target price.
Risk regime: EMA-based deltas across spreads define Risk-On / Cautious / Risk-Off; optional background + last-bar label.
Table view (bottom-right): price, eff. yield, target, upside, CS, BS, BS-EMA, BS-Diff, leader stats, regime deltas.
Notes:
Designed for overlay on any chart (format = percent, right scale). Works best with a yield based basis like US10Y
• FRED series must be available on your TradingView plan/region.
Educational tool, not investment advice. Always validate assumptions (dividends, conversion terms, required spreads).
Bitcoin ETF Cumulative Net InflowIndicator Description:
This indicator calculates and plots the cumulative net inflow (in billions of USD) for selected Bitcoin ETFs on the main price chart. It uses AUM data from TradingView to estimate daily net flows, adjusted for BTC price changes, and accumulates them over time. The line is overlaid on the price chart (e.g., BTCUSD) with a right scale for better visibility, helping to identify correlations between ETF inflows and Bitcoin price movements.
Key Features:
Supports selection of 10 major Bitcoin ETFs (IBIT, FBTC, ARKB, etc.) via inputs.
Cumulative inflow line (purple, linewidth=2) for trend analysis.
Data sourced from request.financial("AUM", "D") for accuracy.
RSI Crypto Strength (Asset vs BTC)The "RSI Crypto Strength" is an advanced analysis tool built on a fundamental pillar of the cryptocurrency market: for an altcoin to achieve exponential bullish performance, it must invariably be and remain stronger than Bitcoin itself.
The primary objective of this indicator is to quantify and reinforce this thesis. It provides a clear and immediate view of the relative strength of any cryptocurrency in direct comparison with the market leader, Bitcoin. This relative strength can be identified on any timeframe. This also reinforces a scenario where a cryptocurrency that is weaker than Bitcoin is prone to sideways movements and downturns.
Key Features
This indicator combines multiple tools into a single solution:
> Dual RSI Plot: Simultaneously visualizes the RSI of the asset on the chart (dynamic) and the RSI of Bitcoin (blue line).
> Strength Delta (Asset vs. BTC): The heart of the indicator. A panel displays the exact difference (Asset RSI - Bitcoin RSI).
- Green: The asset has more RSI strength than Bitcoin.
- Red: The asset has less RSI strength than Bitcoin.
> Dynamic Coloring and Area Fill: The asset's RSI line and the background area automatically change color to highlight critical zones:
- Green (Overbought): RSI above 70.
- Red (Oversold): RSI below 30.
- Orange (Neutral): RSI between 30 and 70.
> Integrated Moving Average: A Moving Average line (gray) is plotted directly on the asset's RSI, serving as a signal line or to smooth momentum. The type (SMA, EMA, WMA, etc.) and period are fully customizable.
> Multi-Timeframe (MTF) Support: You can configure the indicator to display data from a higher timeframe (e.g., "1H") while analyzing a lower timeframe chart (e.g., "5m").
> Customizable Panel and Labels:
- A Delta Panel that can be enabled/disabled and moved to any of the four corners of the indicator.
- Labels at the end of the lines (Asset, BTC, MA) for easy identification, which can also be enabled/disabled.
> Alert-Ready: The indicator exposes the 4 main data sources for creating alerts.
How to Use
> Thesis Validation (Higher Timeframes): This is the primary use. Before looking for entries, use the indicator on timeframes like the H4, Daily, or Weekly. Confirm that the Asset (orange/green line) is consistently above Bitcoin (blue line) and that the Delta is positive. This is your structural strength validation, confirming the asset has potential for an exponential rally.
> Delta Analysis: The "Delta (Asset - BTC)" panel is your immediate strength metric. A positive and rising value indicates the asset is outperforming Bitcoin. A negative and falling value indicates relative weakness.
> Line Crossovers (Timing): On lower timeframes, watch for crossovers between the Asset line and the Bitcoin line. A cross of the Asset line above the Bitcoin line is a clear sign that the asset's momentum is gaining strength.
> Signal Confluence: Look for high-probability scenarios. For example: The Asset's RSI crosses above the Bitcoin RSI while the Delta also crosses above 0.
> Market Extremes: Use the area fill to quickly identify when the asset reaches extreme overbought (>70) or oversold (<30) levels, regardless of what Bitcoin is doing.
Alerts
This indicator is fully prepared for alert creation. When setting up an alert in TradingView, you can select the following data sources from this indicator:
> RSI Asset: Alerts on the RSI value of the asset on the chart.
> RSI Bitcoin: Alerts on the RSI value of Bitcoin.
> Moving Average: Alerts on the value of the Moving Average.
> RSI Delta: Allows creating alerts based on the difference between the two. (e.g., "Alert if RSI Delta crosses above Value 0").
Settings (Inputs)
The indicator offers full customization:
> RSI Length: The calculation period for both RSIs (default 14).
> Indicator Timeframe: Enables Multi-Timeframe functionality.
> Bitcoin Ticker: Allows changing the Bitcoin reference ticker.
> MA Settings: Choose the MA Type (SMA, EMA, WMA, VWMA, etc.) and its period.
> Panels and Labels: Toggles to enable/disable the Delta Panel and Line Labels, plus a selector for the panel's location.
> Colors: All line and highlight colors are fully customizable in the settings.
DISCLAIMER: This script is an analysis tool and does not provide financial advice. All trades carry risk. Use this tool as part of a broader trading strategy and always practice good risk management.
Crypto Fear and Greed Index📊 Crypto Fear & Greed Index — by @victhoreb
Decode the emotional pulse of the crypto market with this all-in-one Fear & Greed Index! 🧠💰 This custom-built indicator blends 7 powerful market signals into a single sentiment score ranging from 0 (😱 Extreme Fear) to 100 (🚀 Extreme Greed), helping you spot potential tops, bottoms, and trend shifts with clarity.
🔍 What’s under the hood?
Each component reflects a unique psychological or macroeconomic force:
- ⚡ Market Momentum: Measures how far BTC is from its 125-day average — are we overextended or undervalued?
- 📈 Crypto Price Strength: Tracks the dominance of altcoins (OTHERS.D) — rising dominance = growing risk appetite.
- 💵 Digital Dollar Dominance (USDT.D): A proxy for stablecoin demand — more USDT dominance = risk-off behavior.
- 🐦 Twitter Sentiment (LunarCrush): Captures real-time posts on TWITTER about Bitcoin — are the crowds euphoric or panicking?
- 🌪️ Volatility (VIX): Inverted VIX deviation — higher fear in traditional markets often spills into crypto.
- 🛡️ Safe Haven Demand: Compares BTC returns vs. US10Y bonds — are investors fleeing to safety or embracing risk?
- 🧨 Junk Bond Demand (BAMLH0A0HYM2): Inverted high-yield spread — tighter spreads = more greed in credit markets.
🎯 Why use it?
This index gives you a quantified view of market sentiment, helping you:
- Anticipate reversals during emotional extremes
- Confirm trend strength or weakness
- Stay objective when the market gets irrational
🧭 Visual Dashboard
A custom offset sentiment meter shows current positioning with intuitive labels:
- 😱 Extreme Fear
- 😨 Fear
- 😐 Neutral
- 😄 Greed
- 🚀 Extreme Greed
Color gradients and dynamic labels make it easy to interpret at a glance.
Ready to trade with the crowd—or against it? Add this indicator to your chart and let sentiment guide your strategy! 📈🧠
LRHS Strategy - (@BAKARAFX)LRHS Strategy by @Bakarafx
🇫🇷 Indicateur avancé conçu pour identifier les zones de retournement potentielles basées sur les chasses de liquidités et la structure du marché.
Il aide les traders à comprendre où les grands acteurs piègent les participants avant un mouvement significatif, et à repérer les points clés de renversement avec précision.
⚙️ Fonctionnalités principales :
• Détection automatique des chasses de liquidités (hauts/bas précédents).
• Lecture multi-timeframe avec filtrage intelligent selon le timeframe de chasse et de confirmation.
• Signaux visuels clairs indiquant les zones de renversement structurel
• Outil compatible avec Bitcoin et Ethereum
• Optimisé pour le price action
🇺🇸 An advanced indicator designed to identify potential reversal zones based on liquidity hunts and market structure.
It helps traders understand where major players trap participants before a significant move, allowing for more precise detection of key reversal points.
⚙️ Main Features:
• Automatic detection of liquidity grabs (previous highs/lows)
• Multi-timeframe analysis with smart filtering between hunt and confirmation timeframes
• Clear visual signals highlighting structural reversal zones
• Compatible with Bitcoin and Ethereum
• Optimized for price action trading
📍 Développé par : @Bakarafx
⚠️ Disclaimer / Avertissement
This indicator is for educational and informational purposes only.
It does not constitute financial or investment advice.
Trading involves a high level of risk, and the author is not responsible for any financial losses that may occur.
Always do your own analysis and risk management before taking a trade.
Past performance does not guarantee future results.
Hyper SAR Reactor Trend StrategyHyperSAR Reactor Adaptive PSAR Strategy
Summary
Adaptive Parabolic SAR strategy for liquid stocks, ETFs, futures, and crypto across intraday to daily timeframes. It acts only when an adaptive trail flips and confirmation gates agree. Originality comes from a logistic boost of the SAR acceleration using drift versus ATR, plus ATR hysteresis, inertia on the trail, and a bear-only gate for shorts. Add to a clean chart and run on bar close for conservative alerts.
Scope and intent
• Markets: large cap equities and ETFs, index futures, major FX, liquid crypto
• Timeframes: one minute to daily
• Default demo: BTC on 60 minute
• Purpose: faster yet calmer PSAR that resists chop and improves short discipline
• Limits: this is a strategy that places simulated orders on standard candles
Originality and usefulness
• Novel fusion: PSAR AF is boosted by a logistic function of normalized drift, trail is monotone with inertia, entries use ATR buffers and optional cooldown, shorts are allowed only in a bear bias
• Addresses false flips in low volatility and weak downtrends
• All controls are exposed in Inputs for testability
• Yardstick: ATR normalizes drift so settings port across symbols
• Open source. No links. No solicitation
Method overview
Components
• Adaptive AF: base step plus boost factor times logistic strength
• Trail inertia: one sided blend that keeps the SAR monotone
• Flip hysteresis: price must clear SAR by a buffer times ATR
• Volatility gate: ATR over its mean must exceed a ratio
• Bear bias for shorts: price below EMA of length 91 with negative slope window 54
• Cooldown bars optional after any entry
• Visual SAR smoothing is cosmetic and does not drive orders
Fusion rule
Entry requires the internal flip plus all enabled gates. No weighted scores.
Signal rule
• Long when trend flips up and close is above SAR plus buffer times ATR and gates pass
• Short when trend flips down and close is below SAR minus buffer times ATR and gates pass
• Exit uses SAR as stop and optional ATR take profit per side
Inputs with guidance
Reactor Engine
• Start AF 0.02. Lower slows new trends. Higher reacts quicker
• Max AF 1. Typical 0.2 to 1. Caps acceleration
• Base step 0.04. Typical 0.01 to 0.08. Raises speed in trends
• Strength window 18. Typical 10 to 40. Drift estimation window
• ATR length 16. Typical 10 to 30. Volatility unit
• Strength gain 4.5. Typical 2 to 6. Steepness of logistic
• Strength center 0.45. Typical 0.3 to 0.8. Midpoint of logistic
• Boost factor 0.03. Typical 0.01 to 0.08. Adds to step when strength rises
• AF smoothing 0.50. Typical 0.2 to 0.7. Adds inertia to AF growth
• Trail smoothing 0.35. Typical 0.15 to 0.45. Adds inertia to the trail
• Allow Long, Allow Short toggles
Trade Filters
• Flip confirm buffer ATR 0.50. Typical 0.2 to 0.8. Raise to cut flips
• Cooldown bars after entry 0. Typical 0 to 8. Blocks re entry for N bars
• Vol gate length 30 and Vol gate ratio 1. Raise ratio to trade only in active regimes
• Gate shorts by bear regime ON. Bear bias window 54 and Bias MA length 91 tune strictness
Risk
• TP long ATR 1.0. Set to zero to disable
• TP short ATR 0.0. Set to 0.8 to 1.2 for quicker shorts
Usage recipes
Intraday trend focus
Confirm buffer 0.35 to 0.5. Cooldown 2 to 4. Vol gate ratio 1.1. Shorts gated by bear regime.
Intraday mean reversion focus
Confirm buffer 0.6 to 0.8. Cooldown 4 to 6. Lower boost factor. Leave shorts gated.
Swing continuation
Strength window 24 to 34. ATR length 20 to 30. Confirm buffer 0.4 to 0.6. Use daily or four hour charts.
Properties visible in this publication
Initial capital 10000. Base currency USD. Order size Percent of equity 3. Pyramiding 0. Commission 0.05 percent. Slippage 5 ticks. Process orders on close OFF. Bar magnifier OFF. Recalculate after order filled OFF. Calc on every tick OFF. No security calls.
Realism and responsible publication
No performance claims. Past results never guarantee future outcomes. Shapes can move while a bar forms and settle on close. Strategies execute only on standard candles.
Honest limitations and failure modes
High impact events and thin books can void assumptions. Gap heavy symbols may prefer longer ATR. Very quiet regimes can reduce contrast and invite false flips.
Open source reuse and credits
Public domain building blocks used: PSAR concept and ATR. Implementation and fusion are original. No borrowed code from other authors.
Strategy notice
Orders are simulated on standard candles. No lookahead.
Entries and exits
Long: flip up plus ATR buffer and all gates true
Short: flip down plus ATR buffer and gates true with bear bias when enabled
Exit: SAR stop per side, optional ATR take profit, optional cooldown after entry
Tie handling: stop first if both stop and target could fill in one bar
Quantum Flux Universal Strategy Summary in one paragraph
Quantum Flux Universal is a regime switching strategy for stocks, ETFs, index futures, major FX pairs, and liquid crypto on intraday and swing timeframes. It helps you act only when the normalized core signal and its guide agree on direction. It is original because the engine fuses three adaptive drivers into the smoothing gains itself. Directional intensity is measured with binary entropy, path efficiency shapes trend quality, and a volatility squash preserves contrast. Add it to a clean chart, watch the polarity lane and background, and trade from positive or negative alignment. For conservative workflows use on bar close in the alert settings when you add alerts in a later version.
Scope and intent
• Markets. Large cap equities and ETFs. Index futures. Major FX pairs. Liquid crypto
• Timeframes. One minute to daily
• Default demo used in the publication. QQQ on one hour
• Purpose. Provide a robust and portable way to detect when momentum and confirmation align, while dampening chop and preserving turns
• Limits. This is a strategy. Orders are simulated on standard candles only
Originality and usefulness
• Unique concept or fusion. The novelty sits in the gain map. Instead of gating separate indicators, the model mixes three drivers into the adaptive gains that power two one pole filters. Directional entropy measures how one sided recent movement has been. Kaufman style path efficiency scores how direct the path has been. A volatility squash stabilizes step size. The drivers are blended into the gains with visible inputs for strength, windows, and clamps.
• What failure mode it addresses. False starts in chop and whipsaw after fast spikes. Efficiency and the squash reduce over reaction in noise.
• Testability. Every component has an input. You can lengthen or shorten each window and change the normalization mode. The polarity plot and background provide a direct readout of state.
• Portable yardstick. The core is normalized with three options. Z score, percent rank mapped to a symmetric range, and MAD based Z score. Clamp bounds define the effective unit so context transfers across symbols.
Method overview in plain language
The strategy computes two smoothed tracks from the chart price source. The fast track and the slow track use gains that are not fixed. Each gain is modulated by three drivers. A driver for directional intensity, a driver for path efficiency, and a driver for volatility. The difference between the fast and the slow tracks forms the raw flux. A small phase assist reduces lag by subtracting a portion of the delayed value. The flux is then normalized. A guide line is an EMA of a small lead on the flux. When the flux and its guide are both above zero, the polarity is positive. When both are below zero, the polarity is negative. Polarity changes create the trade direction.
Base measures
• Return basis. The step is the change in the chosen price source. Its absolute value feeds the volatility estimate. Mean absolute step over the window gives a stable scale.
• Efficiency basis. The ratio of net move to the sum of absolute step over the window gives a value between zero and one. High values mean trend quality. Low values mean chop.
• Intensity basis. The fraction of up moves over the window plugs into binary entropy. Intensity is one minus entropy, which maps to zero in uncertainty and one in very one sided moves.
Components
• Directional Intensity. Measures how one sided recent bars have been. Smoothed with RMA. More intensity increases the gain and makes the fast and slow tracks react sooner.
• Path Efficiency. Measures the straightness of the price path. A gamma input shapes the curve so you can make trend quality count more or less. Higher efficiency lifts the gain in clean trends.
• Volatility Squash. Normalizes the absolute step with Z score then pushes it through an arctangent squash. This caps the effect of spikes so they do not dominate the response.
• Normalizer. Three modes. Z score for familiar units, percent rank for a robust monotone map to a symmetric range, and MAD based Z for outlier resistance.
• Guide Line. EMA of the flux with a small lead term that counteracts lag without heavy overshoot.
Fusion rule
• Weighted sum of the three drivers with fixed weights visible in the code comments. Intensity has fifty percent weight. Efficiency thirty percent. Volatility twenty percent.
• The blend power input scales the driver mix. Zero means fixed spans. One means full driver control.
• Minimum and maximum gain clamps bound the adaptive gain. This protects stability in quiet or violent regimes.
Signal rule
• Long suggestion appears when flux and guide are both above zero. That sets polarity to plus one.
• Short suggestion appears when flux and guide are both below zero. That sets polarity to minus one.
• When polarity flips from plus to minus, the strategy closes any long and enters a short.
• When flux crosses above the guide, the strategy closes any short.
What you will see on the chart
• White polarity plot around the zero line
• A dotted reference line at zero named Zen
• Green background tint for positive polarity and red background tint for negative polarity
• Strategy long and short markers placed by the TradingView engine at entry and at close conditions
• No table in this version to keep the visual clean and portable
Inputs with guidance
Setup
• Price source. Default ohlc4. Stable for noisy symbols.
• Fast span. Typical range 6 to 24. Raising it slows the fast track and can reduce churn. Lowering it makes entries more reactive.
• Slow span. Typical range 20 to 60. Raising it lengthens the baseline horizon. Lowering it brings the slow track closer to price.
Logic
• Guide span. Typical range 4 to 12. A small guide smooths without eating turns.
• Blend power. Typical range 0.25 to 0.85. Raising it lets the drivers modulate gains more. Lowering it pushes behavior toward fixed EMA style smoothing.
• Vol window. Typical range 20 to 80. Larger values calm the volatility driver. Smaller values adapt faster in intraday work.
• Efficiency window. Typical range 10 to 60. Larger values focus on smoother trends. Smaller values react faster but accept more noise.
• Efficiency gamma. Typical range 0.8 to 2.0. Above one increases contrast between clean trends and chop. Below one flattens the curve.
• Min alpha multiplier. Typical range 0.30 to 0.80. Lower values increase smoothing when the mix is weak.
• Max alpha multiplier. Typical range 1.2 to 3.0. Higher values shorten smoothing when the mix is strong.
• Normalization window. Typical range 100 to 300. Larger values reduce drift in the baseline.
• Normalization mode. Z score, percent rank, or MAD Z. Use MAD Z for outlier heavy symbols.
• Clamp level. Typical range 2.0 to 4.0. Lower clamps reduce the influence of extreme runs.
Filters
• Efficiency filter is implicit in the gain map. Raising efficiency gamma and the efficiency window increases the preference for clean trends.
• Micro versus macro relation is handled by the fast and slow spans. Increase separation for swing, reduce for scalping.
• Location filter is not included in v1.0. If you need distance gates from a reference such as VWAP or a moving mean, add them before publication of a new version.
Alerts
• This version does not include alertcondition lines to keep the core minimal. If you prefer alerts, add names Long Polarity Up, Short Polarity Down, Exit Short on Flux Cross Up in a later version and select on bar close for conservative workflows.
Strategy has been currently adapted for the QQQ asset with 30/60min timeframe.
For other assets may require new optimization
Properties visible in this publication
• Initial capital 25000
• Base currency Default
• Default order size method percent of equity with value 5
• Pyramiding 1
• Commission 0.05 percent
• Slippage 10 ticks
• Process orders on close ON
• Bar magnifier ON
• Recalculate after order is filled OFF
• Calc on every tick OFF
Honest limitations and failure modes
• Past results do not guarantee future outcomes
• Economic releases, circuit breakers, and thin books can break the assumptions behind intensity and efficiency
• Gap heavy symbols may benefit from the MAD Z normalization
• Very quiet regimes can reduce signal contrast. Use longer windows or higher guide span to stabilize context
• Session time is the exchange time of the chart
• If both stop and target can be hit in one bar, tie handling would matter. This strategy has no fixed stops or targets. It uses polarity flips for exits. If you add stops later, declare the preference
Open source reuse and credits
• None beyond public domain building blocks and Pine built ins such as EMA, SMA, standard deviation, RMA, and percent rank
• Method and fusion are original in construction and disclosure
Legal
Education and research only. Not investment advice. You are responsible for your decisions. Test on historical data and in simulation before any live use. Use realistic costs.
Strategy add on block
Strategy notice
Orders are simulated by the TradingView engine on standard candles. No request.security() calls are used.
Entries and exits
• Entry logic. Enter long when both the normalized flux and its guide line are above zero. Enter short when both are below zero
• Exit logic. When polarity flips from plus to minus, close any long and open a short. When the flux crosses above the guide line, close any short
• Risk model. No initial stop or target in v1.0. The model is a regime flipper. You can add a stop or trail in later versions if needed
• Tie handling. Not applicable in this version because there are no fixed stops or targets
Position sizing
• Percent of equity in the Properties panel. Five percent is the default for examples. Risk per trade should not exceed five to ten percent of equity. One to two percent is a common choice
Properties used on the published chart
• Initial capital 25000
• Base currency Default
• Default order size percent of equity with value 5
• Pyramiding 1
• Commission 0.05 percent
• Slippage 10 ticks
• Process orders on close ON
• Bar magnifier ON
• Recalculate after order is filled OFF
• Calc on every tick OFF
Dataset and sample size
• Test window Jan 2, 2014 to Oct 16, 2025 on QQQ one hour
• Trade count in sample 324 on the example chart
Release notes template for future updates
Version 1.1.
• Add alertcondition lines for long, short, and exit short
• Add optional table with component readouts
• Add optional stop model with a distance unit expressed as ATR or a percent of price
Notes. Backward compatibility Yes. Inputs migrated Yes.
