EMA X/Y🔍 EMA X/Y Indicator Description
This indicator combines two different EMA ( Exponential Moving Average ) values into a single script, allowing you to visualize both short-term and long-term trends on the same chart.
📌 X: First EMA length (typically for short-term trends)
📌 Y: Second EMA length (typically for long-term trends)
🎯 Purpose:
– Track overall trend direction and potential reversals
– Generate buy/sell signals based on EMA X and Y crossovers
– Analyze market momentum across timeframes
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ALMA X/Y🔍 ALMA X/Y Indicator Description
This indicator combines two different ALMA ( Arnaud Legoux Moving Average ) values into a single script, allowing you to visualize both short-term and long-term trends on the same chart.
📌 X: First ALMA length (typically for short-term trends)
📌 Y: Second ALMA length (typically for long-term trends)
🎯 Purpose:
– Track overall trend direction and potential reversals
– Generate buy/sell signals based on ALMA X and Y crossovers
– Analyze market momentum across timeframes
RSI Strategy - Long Position DAX 2 hours - Dow Jones 1 hourLong position strategy based on the RSI.Works very well on the DAX 40 (2-hour base) and the DOW (1-hour base).The entry signal is very good. The exit signal (take profit) needs to be reviewed.
DEMACROSSOVA BY FLACODouble EMAs for entry signals
ATR Bands for stoploss
Fibonacci bollinger bands for early exit confirmation
Recession Warning Model [BackQuant]Recession Warning Model
Overview
The Recession Warning Model (RWM) is a Pine Script® indicator designed to estimate the probability of an economic recession by integrating multiple macroeconomic, market sentiment, and labor market indicators. It combines over a dozen data series into a transparent, adaptive, and actionable tool for traders, portfolio managers, and researchers. The model provides customizable complexity levels, display modes, and data processing options to accommodate various analytical requirements while ensuring robustness through dynamic weighting and regime-aware adjustments.
Purpose
The RWM fulfills the need for a concise yet comprehensive tool to monitor recession risk. Unlike approaches relying on a single metric, such as yield-curve inversion, or extensive economic reports, it consolidates multiple data sources into a single probability output. The model identifies active indicators, their confidence levels, and the current economic regime, enabling users to anticipate downturns and adjust strategies accordingly.
Core Features
- Indicator Families : Incorporates 13 indicators across five categories: Yield, Labor, Sentiment, Production, and Financial Stress.
- Dynamic Weighting : Adjusts indicator weights based on recent predictive accuracy, constrained within user-defined boundaries.
- Leading and Coincident Split : Separates early-warning (leading) and confirmatory (coincident) signals, with adjustable weighting (default 60/40 mix).
- Economic Regime Sensitivity : Modulates output sensitivity based on market conditions (Expansion, Late-Cycle, Stress, Crisis), using a composite of VIX, yield-curve, financial conditions, and credit spreads.
- Display Options : Supports four modes—Probability (0-100%), Binary (four risk bins), Lead/Coincident, and Ensemble (blended probability).
- Confidence Intervals : Reflects model stability, widening during high volatility or conflicting signals.
- Alerts : Configurable thresholds (Watch, Caution, Warning, Alert) with persistence filters to minimize false signals.
- Data Export : Enables CSV output for probabilities, signals, and regimes, facilitating external analysis in Python or R.
Model Complexity Levels
Users can select from four tiers to balance simplicity and depth:
1. Essential : Focuses on three core indicators—yield-curve spread, jobless claims, and unemployment change—for minimalistic monitoring.
2. Standard : Expands to nine indicators, adding consumer confidence, PMI, VIX, S&P 500 trend, money supply vs. GDP, and the Sahm Rule.
3. Professional : Includes all 13 indicators, incorporating financial conditions, credit spreads, JOLTS vacancies, and wage growth.
4. Research : Unlocks all indicators plus experimental settings for advanced users.
Key Indicators
Below is a summary of the 13 indicators, their data sources, and economic significance:
- Yield-Curve Spread : Difference between 10-year and 3-month Treasury yields. Negative spreads signal banking sector stress.
- Jobless Claims : Four-week moving average of unemployment claims. Sustained increases indicate rising layoffs.
- Unemployment Change : Three-month change in unemployment rate. Sharp rises often precede recessions.
- Sahm Rule : Triggers when unemployment rises 0.5% above its 12-month low, a reliable recession indicator.
- Consumer Confidence : University of Michigan survey. Declines reflect household pessimism, impacting spending.
- PMI : Purchasing Managers’ Index. Values below 50 indicate manufacturing contraction.
- VIX : CBOE Volatility Index. Elevated levels suggest market anticipation of economic distress.
- S&P 500 Growth : Weekly moving average trend. Declines reduce wealth effects, curbing consumption.
- M2 + GDP Trend : Monitors money supply and real GDP. Simultaneous declines signal credit contraction.
- NFCI : Chicago Fed’s National Financial Conditions Index. Positive values indicate tighter conditions.
- Credit Spreads : Proxy for corporate bond spreads using 10-year vs. 2-year Treasury yields. Widening spreads reflect stress.
- JOLTS Vacancies : Job openings data. Significant drops precede hiring slowdowns.
- Wage Growth : Year-over-year change in average hourly earnings. Late-cycle spikes often signal economic overheating.
Data Processing
- Rate of Change (ROC) : Optionally applied to capture momentum in data series (default: 21-bar period).
- Z-Score Normalization : Standardizes indicators to a common scale (default: 252-bar lookback).
- Smoothing : Applies a short moving average to final signals (default: 5-bar period) to reduce noise.
- Binary Signals : Generated for each indicator (e.g., yield-curve inverted or PMI below 50) based on thresholds or Z-score deviations.
Probability Calculation
1. Each indicator’s binary signal is weighted according to user settings or dynamic performance.
2. Weights are normalized to sum to 100% across active indicators.
3. Leading and coincident signals are aggregated separately (if split mode is enabled) and combined using the specified mix.
4. The probability is adjusted by a regime multiplier, amplifying risk during Stress or Crisis regimes.
5. Optional smoothing ensures stable outputs.
Display and Visualization
- Probability Mode : Plots a continuous 0-100% recession probability with color gradients and confidence bands.
- Binary Mode : Categorizes risk into four levels (Minimal, Watch, Caution, Alert) for simplified dashboards.
- Lead/Coincident Mode : Displays leading and coincident probabilities separately to track signal divergence.
- Ensemble Mode : Averages traditional and split probabilities for a balanced view.
- Regime Background : Color-coded overlays (green for Expansion, orange for Late-Cycle, amber for Stress, red for Crisis).
- Analytics Table : Optional dashboard showing probability, confidence, regime, and top indicator statuses.
Practical Applications
- Asset Allocation : Adjust equity or bond exposures based on sustained probability increases.
- Risk Management : Hedge portfolios with VIX futures or options during regime shifts to Stress or Crisis.
- Sector Rotation : Shift toward defensive sectors when coincident signals rise above 50%.
- Trading Filters : Disable short-term strategies during high-risk regimes.
- Event Timing : Scale positions ahead of high-impact data releases when probability and VIX are elevated.
Configuration Guidelines
- Enable ROC and Z-score for consistent indicator comparison unless raw data is preferred.
- Use dynamic weighting with at least one economic cycle of data for optimal performance.
- Monitor stress composite scores above 80 alongside probabilities above 70 for critical risk signals.
- Adjust adaptation speed (default: 0.1) to 0.2 during Crisis regimes for faster indicator prioritization.
- Combine RWM with complementary tools (e.g., liquidity metrics) for intraday or short-term trading.
Limitations
- Macro indicators lag intraday market moves, making RWM better suited for strategic rather than tactical trading.
- Historical data availability may constrain dynamic weighting on shorter timeframes.
- Model accuracy depends on the quality and timeliness of economic data feeds.
Final Note
The Recession Warning Model provides a disciplined framework for monitoring economic downturn risks. By integrating diverse indicators with transparent weighting and regime-aware adjustments, it empowers users to make informed decisions in portfolio management, risk hedging, or macroeconomic research. Regular review of model outputs alongside market-specific tools ensures its effective application across varying market conditions.
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Inside Bars / Nested Bars (+ Gaps) [jenaparadies]📌 Features
Highlight inside bars
Highlight bars that remain within the range of a mother bar (called nested bars )
Highlight the mother bar (optional)
Highlight consecutive nested bars using a visual box (optional)
Enable no-gap candle logic (optional, see below)
Show no-gap candles on the chart (optional)
Fully customizable colors and appearance
📌 Method
An inside bar is any candle whose high is lower than or equal to the previous candle's high, and whose low is higher than or equal to the previous candle's low. In other words, the entire price action of the inside bar remains within the range of the previous candle without exceeding it. The preceding candle is referred to as the mother bar .
Occasionally, the candle following the inside bar may break above or below the inside bar's range, while still remaining fully within the high and low of the mother bar. These candles are referred to as nested bars and are highlighted in a different color.
Optionally, sequences of consecutive nested bars can be enclosed within a box to emphasize consolidation zones.
📌 No-Gap Candles (Optional)
This feature adjusts each candle’s opening price so that it matches the closing price of the previous candle. It is particularly useful for assets that frequently experience large gaps between candles.
By extending each candle's effective range to include the previous candle's close, the indicator maintains structural consistency over timeframes, especially when the open price deviates significantly from the prior close. Inside bars are then identified relative to the extended range of the mother bar.
Optionally, the adjusted no-gap candles can be visualized directly on the chart for better clarity.
🎁 Bonus
Activating the "Show No-Gap Candles" option transforms any line chart into a gap-free bar chart ‒ ideal for visualizing economic data such as inflation rates.
Multi Averages - CustomizableThis script adds up to 5 moving averages to your plot!
Both type and length are customizable.
Auto AVWAP (Anchored-VWAP) with Breakout ScreenerAuto AVWAP (Anchored-VWAP) with Breakout Screener. fINAL VERSION
Simple Trading ChecklistCustomisable Simple Trading Checklist
This script overlays a fully customizable trading checklist directly onto your chart, providing an at-a-glance reminder of key trading steps and conditions before entering a position.
It is especially useful for discretionary or rule-based traders who want a consistent on-screen process to follow.
Modular Range-Trading Strategy (V9.2)# 模块化震荡行情策略 (V9.2)
# Modular Range-Trading Strategy (V9.2)
## 策略简介 | Strategy Overview
该策略基于布林带 (Bollinger Bands)、RSI、MACD、ADX 等经典指标的组合,通过多逻辑模块化结构识别震荡区间的价格反转机会,支持多空双向操作,并在相同逻辑下允许智能加仓,适用于震荡市场的回测和研究。
This strategy combines classic indicators such as Bollinger Bands, RSI, MACD, and ADX to identify price reversal opportunities within ranging markets. It features a modular multi-logic structure, allowing both long and short trades with intelligent pyramiding under the same logic. It is designed for backtesting and research in range-bound conditions.
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## 功能特点 | Key Features
- **多逻辑结构**:支持多套震荡逻辑(动能确认均值回归、布林带极限反转等)。
- **加仓与仓位互斥**:同逻辑下可智能加仓,不同逻辑间自动互斥,避免冲突。
- **回测可调时间范围**:可自定义回测起止时间,精准评估策略表现。
- **指标可视化**:布林带、RSI、MACD 及动态 ATR 止损线实时绘图。
- **K线收盘确认信号**:通过 `barstate.isconfirmed` 控制信号,避免未收盘的虚假信号。
- **Multi-logic structure**: Supports multiple range-trading logics (e.g., momentum-based mean reversion, Bollinger Band reversals).
- **Pyramiding with mutual exclusion**: Allows intelligent pyramiding within the same logic while preventing conflicts between different logics.
- **Adjustable backtesting range**: Customizable start and end dates for accurate performance evaluation.
- **Visual indicators**: Real-time plotting of Bollinger Bands, RSI, MACD, and dynamic ATR stop lines.
- **Close-bar confirmation**: Uses `barstate.isconfirmed` to avoid false signals before bar close.
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## 使用说明 | Usage
1. 将该脚本添加到 TradingView 图表。
2. 在参数中设置回测时间段和指标参数。
3. 仅用于学习与策略研究,请勿直接用于实盘交易。
1. Add this script to your TradingView chart.
2. Configure backtesting dates and indicator parameters as needed.
3. For educational and research purposes only. **Not for live trading.**
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## ⚠️ 免责声明 | Disclaimer
本策略仅供学习和研究使用,不构成任何形式的投资建议。
作者不参与任何实盘交易、资金管理或收益分成,也不保证策略盈利能力。
严禁将本脚本用于任何非法集资、私募募资或与虚拟货币相关的金融违法活动。
使用本策略即表示您自行承担所有风险与法律责任。
This strategy is for educational and research purposes only and does not constitute investment advice.
The author does not participate in live trading, asset management, or profit sharing, nor guarantee profitability.
The use of this script in illegal fundraising, private placements, or cryptocurrency-related financial activities is strictly prohibited.
By using this strategy, you accept all risks and legal responsibilities.
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Step 3: Multi-Timeframe Trading SessionsFor editing purposes,
This is for editing purposes for developer to edit it before publishing.
HMA Strategy HMA Strat (Hull Moving Average Strategy) Indicator Description
The HMA Strat is a trend-following strategy that uses a dual Hull Moving Average system. It helps identify continuation and high-probability reversal signals in both bullish and bearish market conditions. The strategy aims to reduce noise while maintaining sensitivity to changes in price momentum by comparing the standard Hull Moving Average (HMA) to a smoothed version.
This strategy is ideal for traders who focus on systematic backtesting, momentum entry, and simple charts. It features integrated plotting, color-zoning, and strategic actions based on TradingView's strategy engine. The system provides dynamic long and short signals based on crossover logic.
Key Features
Dual HMA Framework: To improve signal quality and reduce choppy trend identification, it compares a regular HMA with a smoothed version (HMA3).
Entries Based on Crossover
RSI Z‑Score + TableRSI Z-Score + Table
This script calculates the Z-Score of the RSI (Relative Strength Index), which standardizes RSI based on its own recent history.
What It Shows:
RSI Z-Score = (Current RSI - Mean RSI) / Standard Deviation
This tells you how extreme the current RSI is compared to its historical values.
A table displays:
Current RSI
Rolling Mean
RSI Z-Score
How to Use:
Z-Score > +2 = Statistically overbought
Z-Score < -2 = Statistically oversold
Use it to time reversals or overextension in RSI behavior.
🔒 Based on rolling lookback window — fully customizable.
Author:
Tags: #RSI #ZScore #Momentum #StatisticalEdge #MeanReversion #Crypto
ICT OTE Market MakerICT OTE Market Maker
Implementing ICT and automatically identifies OTE zones to minimize drawdowns.
Multi EMA & SMA IndicatorDraws EMA 5/20/50/100 and SMA 200 in different colors and thickness in a single indicator
Kairi Trend Oscillator [T3][T69]📌 Overview
The Kairi Trend Oscillator is a Japanese-inspired hybrid oscillator combining Heikin-Ashi trend clarity with the Kairi (乖離率) indicator — a measure of price deviation from a moving average. This dual-layer system gives you both trend direction and trend strength/health, designed to highlight trend maturity and avoid overextended entries.
✨ Features
Heikin-Ashi or normal candlestick input modes
Multiple moving average options: SMA, EMA, DEMA, VWMA, and Kijun
Visual color-coded trend zones: overbought, oversold, healthy, weak, and reversal conditions
Full Kairi column plot with dynamic coloring
Adaptive logic for trend detection (linear regression or Heikin-Ashi structure)
Built-in reversal detection based on divergence between Kairi and trend direction
⚙️ How to Use
Choose Candle Type: Select Heiken Ashi or Normal Candlesticks via the Candle Mode dropdown.
Select Source: Choose open, high, low, or close as the input for Kairi computation.
Set MA Type & Length: Configure the moving average mode and its length under Moving Average Settings.
Interpret the Plot:
Green/Red bars: Show Kairi oscillator values above/below 0
Background color: Shows current trend (green = uptrend, red = downtrend)
Candle color overlays:
🟩 Teal = Overextended Bulls
🟥 Maroon = Overextended Bears
✅ Green = Healthy Uptrend
🔻 Red = Healthy Downtrend
🟨 Light tones = Weak trends
🔄 Blue/Fuchsia = Possible reversal detected
🔧 Configuration
Inputs:
Candle Mode: Heiken Ashi or Normal Candle Sticks
Source: Open, High, Low, Close
MA Mode: SMA, EMA, DEMA, VWMA, or Kijun
MA Length: Default is 29
🧪 Advanced Tips
Use Heikin-Ashi mode for better trend smoothing.
Kairi divergence (e.g., bullish Kairi in a downtrend) may signal upcoming reversal — watch for blue or fuchsia bars.
Combine with momentum indicators (e.g. RSI or MACD) for confluence-based setups.
For mean reversion strategies, fade extreme Kairi readings (> ±5%).
⚠️ Limitations
Not suited for ranging markets without trend.
Kairi extremes may remain elevated in strong trends — avoid early counter-trend entries.
Reversal logic is not a confirmation signal; use with caution.
📌 Disclaimer
This script is educational and illustrative. Always backtest thoroughly before using in live markets.
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XAUUSD & BTCUSD Buy/Sell Signals (80% Accuracy)this script gives approx 80% real and correct indicators depending on market